Repository: broadinstitute/viral-ngs Branch: main Commit: 9e464d4c1e70 Files: 719 Total size: 10.3 MB Directory structure: gitextract_xof_5l96/ ├── .agents/ │ └── skills/ │ ├── claude-on-vertex-ci/ │ │ └── SKILL.md │ ├── container-vulns/ │ │ └── SKILL.md │ ├── dsub-batch-jobs/ │ │ └── SKILL.md │ └── regression-testing/ │ ├── SKILL.md │ ├── compare_sample_pair.py │ ├── discover_pairs.py │ ├── generate_report.py │ └── run_vadr.sh ├── .claude/ │ └── rules/ │ └── container-vulns.md ├── .codecov.yml ├── .dockerignore ├── .gitattributes ├── .github/ │ ├── actions/ │ │ ├── create-manifest/ │ │ │ └── action.yml │ │ ├── pull-with-retry/ │ │ │ └── action.yml │ │ └── setup-docker-build/ │ │ └── action.yml │ ├── copilot-instructions.md │ └── workflows/ │ ├── audit-quay-tags.yml │ ├── cleanup-images.yml │ ├── container-scan.yml │ ├── docker.yml │ └── docs.yml ├── .gitignore ├── .readthedocs.yml ├── .trivy-ignore-policy.rego ├── .trivyignore ├── AGENTS.md ├── CLAUDE.md ├── LICENSE ├── README.md ├── docker/ │ ├── Dockerfile.assemble │ ├── Dockerfile.baseimage │ ├── Dockerfile.classify │ ├── Dockerfile.core │ ├── Dockerfile.mega │ ├── Dockerfile.phylo │ ├── install-conda-deps.sh │ ├── requirements/ │ │ ├── assemble-x86.txt │ │ ├── assemble.txt │ │ ├── baseimage.txt │ │ ├── classify-x86.txt │ │ ├── classify.txt │ │ ├── core-x86.txt │ │ ├── core.txt │ │ ├── phylo-x86.txt │ │ └── phylo.txt │ └── scripts/ │ ├── calc_mem.py │ └── fasta-trim-terminal-ambigs.pl ├── docs/ │ ├── Makefile │ ├── assembly.rst │ ├── broad_utils.rst │ ├── cmdline.rst │ ├── conf.py │ ├── description.rst │ ├── file_utils.rst │ ├── illumina.rst │ ├── index.rst │ ├── interhost.rst │ ├── intrahost.rst │ ├── kmer_utils.rst │ ├── metagenomics.rst │ ├── ncbi.rst │ ├── read_utils.rst │ ├── reports.rst │ ├── requirements.txt │ └── taxon_filter.rst ├── pyproject.toml ├── src/ │ └── viral_ngs/ │ ├── __init__.py │ ├── assemble/ │ │ ├── __init__.py │ │ ├── freebayes.py │ │ ├── gap2seq.py │ │ ├── mafft.py │ │ ├── mummer.py │ │ ├── muscle.py │ │ ├── rasusa.py │ │ ├── skani.py │ │ ├── spades.py │ │ ├── vcf.py │ │ └── wgsim.py │ ├── assembly.py │ ├── broad_utils.py │ ├── classify/ │ │ ├── __init__.py │ │ ├── blast.py │ │ ├── bmtagger.py │ │ ├── kb.py │ │ ├── kma.py │ │ ├── kmc.py │ │ ├── kraken2.py │ │ ├── krona.py │ │ ├── last.py │ │ └── taxonomy.py │ ├── core/ │ │ ├── __init__.py │ │ ├── bbmap.py │ │ ├── bwa.py │ │ ├── cdhit.py │ │ ├── cmd.py │ │ ├── errors.py │ │ ├── fastqc.py │ │ ├── file.py │ │ ├── illumina_indices.py │ │ ├── illumina_utils.py │ │ ├── minimap2.py │ │ ├── misc.py │ │ ├── mvicuna.py │ │ ├── novoalign.py │ │ ├── picard.py │ │ ├── prinseq.py │ │ ├── priorities.py │ │ ├── sambamba.py │ │ ├── samtools.py │ │ ├── splitcode.py │ │ ├── stats.py │ │ ├── trimmomatic.py │ │ └── version.py │ ├── file_utils.py │ ├── illumina.py │ ├── interhost.py │ ├── intrahost.py │ ├── kmer_utils.py │ ├── metagenomics.py │ ├── ncbi.py │ ├── phylo/ │ │ ├── __init__.py │ │ ├── feature_table.py │ │ ├── feature_table_types.py │ │ ├── genbank.py │ │ ├── mafft.py │ │ ├── mummer.py │ │ ├── muscle.py │ │ ├── snpeff.py │ │ ├── vcf.py │ │ └── vphaser2.py │ ├── py.typed │ ├── read_utils.py │ ├── reports.py │ └── taxon_filter.py └── tests/ ├── __init__.py ├── conftest.py ├── input/ │ ├── 5kb_human_from_chr6.fasta │ ├── G5012.3.fasta │ ├── G5012.3.mini.bam │ ├── G5012.3.subset.bam │ ├── G5012.3.testreads.bam │ ├── README.md │ ├── TestAssembleSpades/ │ │ ├── clipDb.fasta │ │ └── trinity_contigs.fasta │ ├── TestBamFilter/ │ │ ├── expected.bam │ │ └── input.bam │ ├── TestBlastnDbBuild/ │ │ └── expected/ │ │ ├── TestBlastnDbBuild.nhr │ │ ├── TestBlastnDbBuild.nin │ │ └── TestBlastnDbBuild.nsq │ ├── TestBmtagger/ │ │ ├── expected.Match.1.fastq │ │ ├── expected.Match.2.fastq │ │ ├── expected.NoMatch.1.fastq │ │ ├── expected.NoMatch.2.fastq │ │ ├── humanChr1Subset.bitmask │ │ ├── humanChr1Subset.fa │ │ ├── humanChr9Subset.bitmask │ │ ├── humanChr9Subset.fa │ │ ├── in1.fastq │ │ └── in2.fastq │ ├── TestBmtaggerDbBuild/ │ │ └── expected/ │ │ ├── TestBmtaggerDbBuild.bitmask │ │ ├── TestBmtaggerDbBuild.srprism.amp │ │ ├── TestBmtaggerDbBuild.srprism.idx.md5 │ │ ├── TestBmtaggerDbBuild.srprism.imp │ │ ├── TestBmtaggerDbBuild.srprism.map.md5 │ │ ├── TestBmtaggerDbBuild.srprism.pmp │ │ ├── TestBmtaggerDbBuild.srprism.rmp │ │ ├── TestBmtaggerDbBuild.srprism.ss.md5 │ │ ├── TestBmtaggerDbBuild.srprism.ssa │ │ └── TestBmtaggerDbBuild.srprism.ssd │ ├── TestDepleteBlastnBam/ │ │ ├── expected.sam │ │ ├── humanChr1Subset.fa │ │ ├── humanChr9Subset.fa │ │ └── in.bam │ ├── TestDepleteHuman/ │ │ ├── aligned-expected/ │ │ │ ├── test-reads.blastn.bam │ │ │ ├── test-reads.bmtagger.bam │ │ │ ├── test-reads.bwa.bam │ │ │ ├── test-reads.revert.bam │ │ │ ├── test-reads.rmdup.bam │ │ │ └── test-reads.taxfilt.imperfect.bam │ │ ├── expected/ │ │ │ ├── test-reads.blastn.bam │ │ │ ├── test-reads.bmtagger.bam │ │ │ ├── test-reads.bwa.bam │ │ │ ├── test-reads.revert.bam │ │ │ ├── test-reads.rmdup.bam │ │ │ ├── test-reads.taxfilt.bam │ │ │ ├── test-reads.taxfilt.imperfect-2.bam │ │ │ └── test-reads.taxfilt.imperfect.bam │ │ ├── partial_pan-viral-9seqs-with-human-random-subset.fasta │ │ ├── test-reads-aligned.bam │ │ ├── test-reads-human.bam │ │ └── test-reads.bam │ ├── TestDifficultSampleNames/ │ │ ├── RunInfo.xml │ │ ├── SampleSheet-inline-commas-strings.csv │ │ └── SampleSheet.csv │ ├── TestFastaFetch/ │ │ ├── JQ610675.1.fa │ │ ├── JQ610675.1.fasta │ │ ├── JQ610676.1.fa │ │ ├── JQ610676.1.fasta │ │ ├── JQ610677.1.fa │ │ ├── JQ610677.1.fasta │ │ ├── JQ610678.1.fa │ │ ├── JQ610678.1.fasta │ │ ├── JQ610679.1.fa │ │ ├── JQ610679.1.fasta │ │ ├── JQ610680.1.fa │ │ ├── JQ610680.1.fasta │ │ ├── JQ610681.1.fa │ │ ├── JQ610681.1.fasta │ │ ├── JQ610682.1.fa │ │ ├── JQ610682.1.fasta │ │ ├── JQ610683.1.fa │ │ ├── JQ610683.1.fasta │ │ ├── JQ610684.1.fa │ │ ├── JQ610684.1.fasta │ │ ├── orungo.fa │ │ └── orungo.fasta │ ├── TestFastqBam/ │ │ ├── expected.fastq1 │ │ ├── expected.java1_7.sam │ │ ├── expected.java1_8.sam │ │ ├── expected.java1_8_v1.5.sam │ │ ├── in1.fastq │ │ ├── in2.fastq │ │ └── inHeader.txt │ ├── TestFeatureReader/ │ │ ├── GU481072.1.tbl │ │ ├── GU481073.1.tbl │ │ ├── KM821772.1.tbl │ │ ├── KM821773.1.tbl │ │ ├── LC889323.1.tbl │ │ ├── NC_026438.1.tbl │ │ ├── test1-S.tbl │ │ └── test2-L.tbl │ ├── TestFeatureTableFetch/ │ │ ├── JQ610675.1.table │ │ ├── JQ610675.1.tbl │ │ ├── JQ610676.1.table │ │ ├── JQ610676.1.tbl │ │ ├── JQ610677.1.table │ │ ├── JQ610677.1.tbl │ │ ├── JQ610678.1.table │ │ ├── JQ610678.1.tbl │ │ ├── JQ610679.1.table │ │ ├── JQ610679.1.tbl │ │ ├── JQ610680.1.table │ │ ├── JQ610680.1.tbl │ │ ├── JQ610681.1.table │ │ ├── JQ610681.1.tbl │ │ ├── JQ610682.1.table │ │ ├── JQ610682.1.tbl │ │ ├── JQ610683.1.table │ │ ├── JQ610683.1.tbl │ │ ├── JQ610684.1.table │ │ ├── JQ610684.1.tbl │ │ ├── orungo.table │ │ └── orungo.tbl │ ├── TestFeatureTransfer/ │ │ ├── adenovirus_truncated/ │ │ │ ├── expected/ │ │ │ │ └── mapped.tbl │ │ │ └── input/ │ │ │ ├── aligned_1.fasta │ │ │ ├── ref.fasta │ │ │ └── ref.tbl │ │ ├── internal_partials/ │ │ │ ├── expected/ │ │ │ │ └── mapped.tbl │ │ │ └── input/ │ │ │ ├── aligned_1.fasta │ │ │ ├── ref.fasta │ │ │ └── ref.tbl │ │ ├── lasv/ │ │ │ ├── expected/ │ │ │ │ ├── LASV_NGA_2018_0026-1.tbl │ │ │ │ ├── LASV_NGA_2018_0026-2.tbl │ │ │ │ ├── LASV_NGA_2018_0097-1.tbl │ │ │ │ ├── LASV_NGA_2018_0097-2.tbl │ │ │ │ ├── LASV_NGA_2018_0541-1.tbl │ │ │ │ ├── LASV_NGA_2018_0541-2.tbl │ │ │ │ ├── LASV_NGA_2018_0611-1.tbl │ │ │ │ ├── LASV_NGA_2018_0611-2.tbl │ │ │ │ ├── LASV_NGA_2018_0664-1.tbl │ │ │ │ ├── LASV_NGA_2018_0664-2.tbl │ │ │ │ ├── LASV_NGA_2018_0959-1.tbl │ │ │ │ ├── LASV_NGA_2018_0959-2.tbl │ │ │ │ ├── LASV_NGA_2018_0998-1.tbl │ │ │ │ ├── LASV_NGA_2018_0998-2.tbl │ │ │ │ ├── LASV_NGA_2018_1024-1.tbl │ │ │ │ ├── LASV_NGA_2018_1024-2.tbl │ │ │ │ ├── LASV_NGA_2018_1079-1.tbl │ │ │ │ ├── LASV_NGA_2018_1079-2.tbl │ │ │ │ ├── LASV_NGA_2018_1177-1.tbl │ │ │ │ ├── LASV_NGA_2018_1177-2.tbl │ │ │ │ ├── LASV_NGA_2018_1375-1.tbl │ │ │ │ ├── LASV_NGA_2018_1375-2.tbl │ │ │ │ ├── LASV_NGA_2018_1381-1.tbl │ │ │ │ ├── LASV_NGA_2018_1381-2.tbl │ │ │ │ ├── LASV_NGA_2018_1392-1.tbl │ │ │ │ ├── LASV_NGA_2018_1392-2.tbl │ │ │ │ ├── LASV_NGA_2018_1643-1.tbl │ │ │ │ ├── LASV_NGA_2018_1643-2.tbl │ │ │ │ └── test.tbl │ │ │ └── input/ │ │ │ ├── KM821997.1.tbl │ │ │ ├── KM821998.1.tbl │ │ │ ├── align_mafft-ref-lasv-ISTH2376_1.fasta │ │ │ ├── align_mafft-ref-lasv-ISTH2376_2.fasta │ │ │ └── ref-lasv-ISTH2376.fasta │ │ ├── negative_strand_partial/ │ │ │ ├── expected/ │ │ │ │ └── mapped.tbl │ │ │ └── input/ │ │ │ ├── aligned_1.fasta │ │ │ ├── ref.fasta │ │ │ └── ref.tbl │ │ ├── synthetic/ │ │ │ ├── expected/ │ │ │ │ └── mapped.tbl │ │ │ └── input/ │ │ │ ├── aligned_1.fasta │ │ │ ├── ref.fasta │ │ │ └── ref.tbl │ │ ├── synthetic_ignore_ambig_edges/ │ │ │ ├── expected/ │ │ │ │ └── mapped.tbl │ │ │ └── input/ │ │ │ ├── aligned_1.fasta │ │ │ ├── ref.fasta │ │ │ └── ref.tbl │ │ └── synthetic_oob_clip/ │ │ ├── expected/ │ │ │ └── mapped.tbl │ │ └── input/ │ │ ├── aligned_1.fasta │ │ ├── ref.fasta │ │ └── ref.tbl │ ├── TestFilterLastal/ │ │ ├── expected.fastq │ │ └── in.fastq │ ├── TestGap2Seq/ │ │ └── expected.ebov.doublehit.gapfill.fasta │ ├── TestGenbankRecordFetch/ │ │ ├── JQ610675.1.gb │ │ ├── JQ610675.1.gbk │ │ ├── JQ610676.1.gb │ │ ├── JQ610676.1.gbk │ │ ├── JQ610677.1.gb │ │ ├── JQ610677.1.gbk │ │ ├── JQ610678.1.gb │ │ ├── JQ610678.1.gbk │ │ ├── JQ610679.1.gb │ │ ├── JQ610679.1.gbk │ │ ├── JQ610680.1.gb │ │ ├── JQ610680.1.gbk │ │ ├── JQ610681.1.gb │ │ ├── JQ610681.1.gbk │ │ ├── JQ610682.1.gb │ │ ├── JQ610682.1.gbk │ │ ├── JQ610683.1.gb │ │ ├── JQ610683.1.gbk │ │ ├── JQ610684.1.gb │ │ ├── JQ610684.1.gbk │ │ ├── orungo.gb │ │ └── orungo.gbk │ ├── TestIlluminaBarcodeHelper/ │ │ ├── ambiguous/ │ │ │ ├── barcodes.txt │ │ │ ├── expected.txt │ │ │ └── metrics.txt │ │ ├── few_assigned/ │ │ │ ├── barcodes.txt │ │ │ └── metrics.txt │ │ ├── one_correction/ │ │ │ ├── barcodes.txt │ │ │ ├── expected.txt │ │ │ └── metrics.txt │ │ ├── single_index/ │ │ │ ├── barcodes.txt │ │ │ ├── expected.txt │ │ │ └── metrics.txt │ │ └── single_index_i5_only/ │ │ ├── barcodes.txt │ │ ├── expected.txt │ │ └── metrics.txt │ ├── TestIlluminaDir/ │ │ ├── bcl-indented.tgz │ │ ├── bcl-plain.tar.bz2 │ │ ├── bcl-plain.tar.lz4 │ │ ├── bcl-plain.tgz │ │ └── empty_dir/ │ │ └── Data/ │ │ └── Intensities/ │ │ └── BaseCalls/ │ │ └── README │ ├── TestImputeFromReference/ │ │ ├── contigs.sub.ebov.fasta │ │ ├── expected.hhv3.mummer.fasta │ │ ├── expected.hhv3.muscle.fasta │ │ ├── expected.sub.ebov.impute.fasta │ │ ├── ref.sub.ebov.fasta │ │ └── test.pseudo.fasta │ ├── TestKMA/ │ │ └── ref.fasta │ ├── TestKbPython/ │ │ ├── palmdb.corona.idx │ │ ├── palmdb_clustered_t2g.txt │ │ └── palmdb_rdrp_seqs.corona.fa │ ├── TestKmers/ │ │ ├── ambig_bases.fasta │ │ ├── filt.fasta │ │ ├── palindromic_kmers.fasta │ │ ├── simple.fasta │ │ ├── simple.fasta.kmers.k4.txt │ │ └── tcgaattt.fasta │ ├── TestLastalDbBuild/ │ │ └── expected/ │ │ ├── TestLastalDbBuild.bck │ │ ├── TestLastalDbBuild.des │ │ ├── TestLastalDbBuild.prj │ │ ├── TestLastalDbBuild.sds │ │ ├── TestLastalDbBuild.ssp │ │ ├── TestLastalDbBuild.suf.md5 │ │ └── TestLastalDbBuild.tis │ ├── TestManualSnpCaller/ │ │ ├── indel.vcf.gz.tbi │ │ └── output.fasta │ ├── TestMetagenomicsSimple/ │ │ ├── db/ │ │ │ ├── library/ │ │ │ │ ├── Viruses/ │ │ │ │ │ ├── Bundibugyo_ebolavirus/ │ │ │ │ │ │ ├── GCF_000889155.1_ViralProj51245_genomic.fna │ │ │ │ │ │ └── GCF_000889155.1_ViralProj51245_protein.faa │ │ │ │ │ ├── Reston_ebolavirus/ │ │ │ │ │ │ ├── GCF_000854085.1_ViralProj15006_genomic.fna │ │ │ │ │ │ └── GCF_000854085.1_ViralProj15006_protein.faa │ │ │ │ │ ├── Sudan_ebolavirus/ │ │ │ │ │ │ ├── GCF_000855585.1_ViralProj15012_genomic.fna │ │ │ │ │ │ └── GCF_000855585.1_ViralProj15012_protein.faa │ │ │ │ │ ├── Tai_Forest_ebolavirus/ │ │ │ │ │ │ ├── GCF_000888475.1_ViralProj51257_genomic.fna │ │ │ │ │ │ └── GCF_000888475.1_ViralProj51257_protein.faa │ │ │ │ │ └── Zaire_ebolavirus/ │ │ │ │ │ ├── GCF_000848505.1_ViralProj14703_genomic.fna │ │ │ │ │ └── GCF_000848505.1_ViralProj14703_protein.faa │ │ │ │ └── prelim_map.txt │ │ │ └── taxonomy/ │ │ │ ├── accession2taxid/ │ │ │ │ ├── nucl_est.accession2taxid │ │ │ │ ├── nucl_gb.accession2taxid │ │ │ │ ├── nucl_gss.accession2taxid │ │ │ │ ├── nucl_wgs.accession2taxid │ │ │ │ ├── pdb.accession2taxid │ │ │ │ └── prot.accession2taxid │ │ │ ├── delnodes.dmp │ │ │ ├── gi_taxid_nucl.dmp │ │ │ ├── gi_taxid_prot.dmp │ │ │ ├── merged.dmp │ │ │ ├── names.dmp │ │ │ └── nodes.dmp │ │ ├── test-reads.bam │ │ ├── zaire_ebola.1.fastq │ │ ├── zaire_ebola.2.fastq │ │ └── zaire_ebola.bam │ ├── TestMetagenomicsViralMix/ │ │ ├── db/ │ │ │ ├── library/ │ │ │ │ ├── Viruses/ │ │ │ │ │ ├── Enterovirus_C/ │ │ │ │ │ │ ├── GCF_000861165.1_ViralProj15288_genomic.fna │ │ │ │ │ │ └── GCF_000861165.1_ViralProj15288_protein.faa │ │ │ │ │ ├── Hepatitis_C_virus/ │ │ │ │ │ │ ├── GCF_000861845.1_ViralProj15432_genomic.fna │ │ │ │ │ │ └── GCF_000861845.1_ViralProj15432_protein.faa │ │ │ │ │ ├── Tomato_mosaic_virus/ │ │ │ │ │ │ ├── GCF_000853705.1_ViralProj14926_genomic.fna │ │ │ │ │ │ └── GCF_000853705.1_ViralProj14926_protein.faa │ │ │ │ │ └── partial_pan-viral-9seqs-with-human-random-subset.fna │ │ │ │ └── prelim_map.txt │ │ │ └── taxonomy/ │ │ │ ├── accession2taxid/ │ │ │ │ ├── nucl_est.accession2taxid │ │ │ │ ├── nucl_gb.accession2taxid │ │ │ │ ├── nucl_gss.accession2taxid │ │ │ │ ├── nucl_wgs.accession2taxid │ │ │ │ ├── pdb.accession2taxid │ │ │ │ └── prot.accession2taxid │ │ │ ├── delnodes.dmp │ │ │ ├── gi_taxid_nucl.dmp │ │ │ ├── gi_taxid_prot.dmp │ │ │ ├── merged.dmp │ │ │ ├── names.dmp │ │ │ └── nodes.dmp │ │ └── test-reads.bam │ ├── TestMinimap2Idxstats/ │ │ ├── multi-viral-reads.bam │ │ └── multi-viral-refs.fasta │ ├── TestMiseqToBam/ │ │ ├── RunInfo.xml │ │ └── SampleSheet.csv │ ├── TestMvicuna/ │ │ ├── expected_pairedOut.1.fastq │ │ ├── expected_pairedOut.2.fastq │ │ ├── expected_unpairedOut.fastq │ │ ├── in.1.fastq │ │ └── in.2.fastq │ ├── TestOrderAndOrient/ │ │ ├── contig.mummer3_fail_lasv.fasta │ │ ├── contigs.ebov.doublehit.fasta │ │ ├── contigs.ebov.fasta │ │ ├── contigs.hhv3.fasta │ │ ├── contigs.hiv.big_indel.fasta │ │ ├── contigs.hiv.wrapped.fasta │ │ ├── contigs.influenza.fasta │ │ ├── contigs.lasv.fasta │ │ ├── contigs.lasv.one_small.fasta │ │ ├── expected.ebov.ambig.fasta │ │ ├── expected.ebov.doublehit.fasta │ │ ├── expected.ebov.small.fasta │ │ ├── expected.hhv3.fasta │ │ ├── expected.hiv.big_indel.alternates.fasta │ │ ├── expected.hiv.big_indel.fasta │ │ ├── expected.hiv.wrapped.fasta │ │ ├── expected.influenza.fasta │ │ ├── expected.lasv.ambig.fasta │ │ ├── expected.lasv.fasta │ │ ├── expected.lasv.promer.fasta │ │ ├── expected.refsel.ebov.stats.tsv │ │ ├── expected.refsel.lasv.stats.tsv │ │ ├── ref.ebov.gin.fasta │ │ ├── ref.ebov.lbr.fasta │ │ ├── ref.ebov.makona_C15.fasta │ │ ├── ref.ebov.sle.fasta │ │ ├── ref.ebov.small.fasta │ │ ├── ref.hhv3.fasta │ │ ├── ref.hiv.fasta │ │ ├── ref.influenza.fasta │ │ ├── ref.lasv.BNI_Nig08_A19.fasta │ │ ├── ref.lasv.ISTH2376.fasta │ │ ├── ref.lasv.KGH_G502.fasta │ │ ├── ref.lasv.nomatch.fasta │ │ ├── ref.lasv.pinneo.fasta │ │ └── refs.ebov.fasta │ ├── TestOrderOrientAndImputeFromReference/ │ │ ├── contigs.influenza.fasta │ │ ├── expected.influenza.impute.mafft.fasta │ │ ├── expected.influenza.impute.mummer.fasta │ │ ├── expected.influenza.impute.muscle.fasta │ │ └── ref.influenza_partial.fasta │ ├── TestPerSample/ │ │ ├── in.2libs.bam │ │ ├── in.2libs3rgs.bam │ │ ├── in.3libs.bam │ │ ├── in.bam │ │ ├── in.indels.bam │ │ ├── in.oneunmapped.bam │ │ ├── ref.fasta │ │ ├── ref.fasta.fai │ │ ├── ref.indels.fasta │ │ ├── ref.indels.fasta.fai │ │ ├── vphaser_one_sample_2libs_expected.txt │ │ ├── vphaser_one_sample_3libs_expected.txt │ │ ├── vphaser_one_sample_expected.txt │ │ └── vphaser_one_sample_indels_expected.txt │ ├── TestPurgeUnmated/ │ │ ├── expected1.fastq │ │ ├── expected2.fastq │ │ ├── in1.fastq │ │ ├── in2.fastq │ │ ├── in_sra1.fastq │ │ └── in_sra2.fastq │ ├── TestRefineAssembly/ │ │ ├── expected.ebov.refine1.fasta │ │ ├── expected.ebov.refine1.freebayes.fasta │ │ ├── expected.ebov.refine1.new.fasta │ │ ├── expected.ebov.refine2.fasta │ │ ├── expected.ebov.refine2.freebayes.fasta │ │ └── impute.ebov.fasta │ ├── TestRmdupUnaligned/ │ │ ├── expected.bam │ │ └── input.bam │ ├── TestRunInfo/ │ │ ├── RunInfo-hiseq.xml │ │ ├── RunInfo-miseq.xml │ │ ├── RunInfo-nextseq-1000-2000-p1.xml │ │ ├── RunInfo-nextseq550.xml │ │ ├── RunInfo-novaseq-x-plus.xml │ │ ├── RunInfo-novaseq.xml │ │ ├── RunInfo-novel-fcid-and-tilecount.xml │ │ ├── RunInfo-novel-fcid.xml │ │ └── RunInfo-novel-tile-count.xml │ ├── TestSampleSheet/ │ │ ├── SampleSheet-AEHWY-subset.csv │ │ ├── SampleSheet-custom-1.txt │ │ ├── SampleSheet-custom-1_macos9-endings.txt │ │ ├── SampleSheet-custom-1_win-endings.txt │ │ ├── SampleSheet-custom-2.txt │ │ ├── SampleSheet-custom-2_win-endings.tsv │ │ ├── SampleSheet-custom-inner-barcodes-outer-collapse.tsv │ │ ├── SampleSheet-hiseq-1.csv │ │ ├── SampleSheet-in-Broad-MiSeq-Format_with_Picard_Block.csv │ │ ├── SampleSheet-miseq-1.csv │ │ ├── SampleSheet-submit-1.csv │ │ ├── SampleSheet-submit-2.csv │ │ ├── SampleSheet-submit-3.csv │ │ └── SampleSheet-with-blanklines.csv │ ├── TestSkaniReferenceSelection/ │ │ ├── RVA_DQ473496.1_Rhinovirus_A49.fa │ │ ├── RVA_DQ473498.1_Rhinovirus_A10.fa │ │ ├── RVA_DQ473499.1_Human_rhinovirus_A44.fa │ │ ├── RVA_DQ473501.1_Rhinovirus_A34.fa │ │ ├── RVA_DQ473507.1_Rhinovirus_A53.fa │ │ ├── RVA_FJ445116.1_Human_rhinovirus_13_strain_ATCC_VR-1123.fa │ │ ├── RVA_FJ445140.1_Human_rhinovirus_56_strain_ATCC_VR-1166.fa │ │ ├── RVA_FJ445177.1_Human_rhinovirus_9_strain_ATCC_VR-489.fa │ │ ├── RVA_GQ223229.1_Human_rhinovirus_A_isolate_N13.fa │ │ ├── RVA_L24917.1_Human_rhinovirus_type_16_polyprotein_gene.fa │ │ └── USA-MA-Broad_BWH-19947-2023.l000013249603_C5.HTKJ7DRX3.1.acellular.dedup.assembly1-spades.fasta │ ├── TestSnpEff/ │ │ ├── RBV16.fasta │ │ ├── ann_eff.vcf.gz.tbi │ │ ├── merged.vcf.gz.tbi │ │ ├── msa.fasta │ │ └── ref-rabies-JQ685920.fasta │ ├── TestSplitReads/ │ │ ├── expected.fasta.01 │ │ ├── expected.fasta.02 │ │ ├── expected.fastq.01 │ │ ├── expected.fastq.02 │ │ ├── expected.fastq.03 │ │ ├── expected.fastq.1 │ │ ├── expected.fastq.2 │ │ ├── in.fasta │ │ └── in.fastq │ ├── TestSplitcodeDemuxFastqs/ │ │ ├── RunInfo.xml │ │ ├── SampleSheet.csv │ │ ├── samples_3bc.tsv │ │ ├── samples_3bc_i5_rc_with_n.tsv │ │ └── samples_3bc_i5_revcomp.tsv │ ├── TestSplitcodeDemuxIntegration/ │ │ ├── RunInfo.xml │ │ └── SampleSheet.tsv │ ├── TestSplitcodeLookupTable/ │ │ ├── AAAAAAAA-TTTTTTTT.lLibA_summary.json │ │ ├── ATCGATCG-GCTAGCTA.lB1_summary.json │ │ ├── ATCGATCG-GCTAGCTA.lL1_summary.json │ │ ├── GGGGGGGG-CCCCCCCC.lLibB_summary.json │ │ ├── TTTTAAAA-CCCCGGGG.lB2_summary.json │ │ ├── sample_sheet_basic.tsv │ │ ├── sample_sheet_multi_pool.tsv │ │ ├── sample_sheet_unique_lib_ids.tsv │ │ └── sample_sheet_zero_reads.tsv │ ├── TestTarballMerger/ │ │ ├── mixed-compressed-input/ │ │ │ ├── file2.tar.lz4 │ │ │ ├── file3.tar.zst │ │ │ └── file4.tar.bz2 │ │ └── raw-input/ │ │ ├── file1 │ │ ├── file2 │ │ ├── file3 │ │ └── file4 │ ├── TestTaxonomy/ │ │ └── simple.m8 │ ├── TestToolKrakenExecute/ │ │ ├── empty-report.txt │ │ ├── expected-kraken-mix.reads.txt │ │ └── expected-kraken-mix.report.txt │ ├── TestToolNovoalign/ │ │ └── ebov_reads.bam │ ├── TestToolPicard/ │ │ ├── in.dict │ │ ├── in.fasta │ │ ├── messy-headers.fasta │ │ └── simple.sam │ ├── TestToolSamtools/ │ │ ├── in.fasta │ │ ├── in.fasta.fai │ │ ├── indel_cigar.sam │ │ └── simple.sam │ ├── TestTrimRmdupSubsamp/ │ │ └── clipDb.fasta │ ├── TestTrimmomatic/ │ │ ├── clip.fasta │ │ ├── empty.fastq │ │ ├── expected1.fastq │ │ ├── expected1.maxinfo.fastq │ │ ├── expected2.fastq │ │ ├── expected2.maxinfo.fastq │ │ ├── in1.fastq │ │ └── in2.fastq │ ├── TestTsvJoin/ │ │ ├── expected-out.txt │ │ ├── tab-1.txt │ │ └── tab-2.txt │ ├── TestUtilMisc/ │ │ ├── cfg1.yaml │ │ ├── cfg2.yaml │ │ ├── cfg_std.yaml │ │ └── empty.yaml │ ├── TestVPhaser2/ │ │ ├── expected.cpickle │ │ ├── in.bam │ │ └── in.bam.bai │ ├── almost-empty-2.bam │ ├── almost-empty.bam │ ├── broken.bam │ ├── ebola.fasta │ ├── ebola.fasta.bz2 │ ├── ebola.fasta.lz4 │ ├── ebola.fasta.zst │ ├── ebov-makona.fasta │ ├── empty.bam │ ├── empty.fasta │ ├── one_gene.vcf.gz.tbi │ ├── ref.lasv.fasta │ └── s3/ │ └── sabeti-public-dbs/ │ ├── blast/ │ │ ├── hybsel_probe_adapters.fasta │ │ ├── hybsel_probe_adapters.nhr │ │ ├── hybsel_probe_adapters.nin │ │ ├── hybsel_probe_adapters.nsq │ │ ├── metag_v3.ncRNA.mRNA.mitRNA.consensus.dict │ │ ├── metag_v3.ncRNA.mRNA.mitRNA.consensus.fasta.fai │ │ ├── metag_v3.ncRNA.mRNA.mitRNA.consensus.nhr │ │ ├── metag_v3.ncRNA.mRNA.mitRNA.consensus.nin │ │ ├── metag_v3.ncRNA.mRNA.mitRNA.consensus.nix │ │ └── metag_v3.ncRNA.mRNA.mitRNA.consensus.nsq │ ├── bmtagger/ │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.bitmask │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.amp │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.idx │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.imp │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.pmp │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.rmp │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.ss │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.ssa │ │ ├── GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.ssd │ │ ├── hg19.bitmask │ │ ├── hg19.srprism.amp │ │ ├── hg19.srprism.idx │ │ ├── hg19.srprism.imp │ │ ├── hg19.srprism.pmp │ │ ├── hg19.srprism.rmp │ │ ├── hg19.srprism.ss │ │ ├── hg19.srprism.ssa │ │ ├── hg19.srprism.ssd │ │ ├── metagenomics_contaminants_v3.bitmask │ │ ├── metagenomics_contaminants_v3.readme.txt │ │ ├── metagenomics_contaminants_v3.srprism.amp │ │ ├── metagenomics_contaminants_v3.srprism.idx │ │ ├── metagenomics_contaminants_v3.srprism.imp │ │ ├── metagenomics_contaminants_v3.srprism.pmp │ │ ├── metagenomics_contaminants_v3.srprism.rmp │ │ ├── metagenomics_contaminants_v3.srprism.ss │ │ ├── metagenomics_contaminants_v3.srprism.ssa │ │ └── metagenomics_contaminants_v3.srprism.ssd │ ├── bwa/ │ │ ├── hg19.amb │ │ ├── hg19.ann │ │ ├── hg19.bwt │ │ ├── hg19.pac │ │ └── hg19.sa │ ├── kaiju/ │ │ └── nr/ │ │ └── nr.fmi │ ├── krakenuniq/ │ │ ├── database.idx │ │ ├── database.jdb │ │ ├── database.kdb │ │ └── lca.complete │ ├── krona/ │ │ └── taxonomy.tab │ ├── rna_bwa/ │ │ ├── human_viral_rrna.amb │ │ ├── human_viral_rrna.ann │ │ ├── human_viral_rrna.bwt │ │ ├── human_viral_rrna.pac │ │ └── human_viral_rrna.sa │ ├── spikeins/ │ │ └── ercc_spike-ins.fasta │ ├── taxonomy/ │ │ ├── merged.dmp │ │ ├── names.dmp │ │ └── nodes.dmp │ └── trim_clip/ │ └── contaminants.fasta └── unit/ ├── assemble/ │ ├── test_assembly.py │ ├── test_assembly_integration.py │ └── test_util_vcf.py ├── classify/ │ ├── __init__.py │ ├── fixtures.py │ ├── test_integration_kb.py │ ├── test_integration_kraken2.py │ ├── test_integration_taxon_filter.py │ ├── test_kmer_utils.py │ ├── test_metagenomics.py │ ├── test_taxon_filter.py │ ├── test_taxonomy.py │ ├── test_tools_kb_python.py │ ├── test_tools_kma.py │ └── test_tools_krona.py ├── core/ │ ├── test_conftest.py │ ├── test_file_utils.py │ ├── test_illumina.py │ ├── test_read_utils.py │ ├── test_tools.py │ ├── test_tools_bbmap.py │ ├── test_tools_bwa.py │ ├── test_tools_fastqc.py │ ├── test_tools_minimap2.py │ ├── test_tools_novoalign.py │ ├── test_tools_picard.py │ ├── test_tools_sambamba.py │ ├── test_tools_samtools.py │ ├── test_tools_splitcode.py │ ├── test_tools_trimmomatic.py │ ├── test_util_file.py │ └── test_util_misc.py └── phylo/ ├── __init__.py ├── test_interhost.py ├── test_intrahost.py ├── test_ncbi.py ├── test_tools.py ├── test_tools_vphaser2.py └── test_util_vcf.py ================================================ FILE CONTENTS ================================================ ================================================ FILE: .agents/skills/claude-on-vertex-ci/SKILL.md ================================================ # Claude on Vertex AI from GitHub Actions Reusable infrastructure for invoking Claude (via [`anthropics/claude-code-action`](https://github.com/anthropics/claude-code-action)) on Google Vertex AI from GitHub Actions workflows in this repo. Authentication is via Workload Identity Federation — no long-lived secrets. ## When to Use Add a new Claude-in-CI use case (PR review, CVE triage, dependency-update analysis, automated docs generation, etc.) when: - The task is well-suited to an LLM with tool use (reading files, running CLI commands, calling `gh`) - The task fires on a GitHub event (schedule, workflow_dispatch, push, PR) - You want an issue, PR comment, or artifact as the output The first use case (and template) is the **CVE triage step in `container-scan.yml`** — see `.agents/skills/container-vulns/SKILL.md`. ## What's Already Provisioned **GCP project: `viral-seq-ai`** | Resource | Identifier | |---|---| | Workload Identity Pool | `github-actions-pool` (global) | | OIDC provider | `broadinstitute-github` | | Provider attribute condition | `assertion.repository_owner == 'broadinstitute'` | | Required APIs | `aiplatform.googleapis.com`, `iamcredentials.googleapis.com` | **Service accounts (one per use case):** | SA email | Use case | Workflow | |---|---|---| | `viral-ngs-cve-triage@viral-seq-ai.iam.gserviceaccount.com` | Weekly CVE triage | `.github/workflows/container-scan.yml` | The pool + provider are reusable across use cases. Add a new SA per use case (principle of least privilege; easier to audit and disable individually). ## Adding a New Claude-in-CI Use Case You need GCP IAM Admin on `viral-seq-ai` for steps 1–3. ### 1. Create a service account scoped to the use case ```bash gcloud iam service-accounts create \ --project=viral-seq-ai \ --display-name="" \ --description="Used by .yml to invoke Claude on Vertex AI for " ``` ### 2. Grant minimum roles Vertex invocation requires both: ```bash gcloud projects add-iam-policy-binding viral-seq-ai \ --member="serviceAccount:@viral-seq-ai.iam.gserviceaccount.com" \ --role="roles/aiplatform.user" \ --condition=None gcloud projects add-iam-policy-binding viral-seq-ai \ --member="serviceAccount:@viral-seq-ai.iam.gserviceaccount.com" \ --role="roles/serviceusage.serviceUsageConsumer" \ --condition=None ``` ### 3. Bind the GitHub repo to the SA via WIF ```bash PROJECT_NUMBER=$(gcloud projects describe viral-seq-ai --format='value(projectNumber)') gcloud iam service-accounts add-iam-policy-binding \ @viral-seq-ai.iam.gserviceaccount.com \ --project=viral-seq-ai \ --role="roles/iam.workloadIdentityUser" \ --member="principalSet://iam.googleapis.com/projects/${PROJECT_NUMBER}/locations/global/workloadIdentityPools/github-actions-pool/attribute.repository/broadinstitute/viral-ngs" ``` For tighter scope, use `attribute.ref` (branch) or `attribute.workflow` (specific workflow file) in place of (or in addition to) `attribute.repository`. ### 4. Set GitHub repo variables If the new use case lives alongside the CVE triage one, you can reuse `GCP_PROJECT_ID` and `GCP_WIP_PROVIDER`. The SA email differs per use case — either create a use-case-specific variable (e.g., `GCP_PR_REVIEW_SA_EMAIL`) or hard-code it in the workflow file. ```bash gh variable set GCP__SA_EMAIL \ --body "@viral-seq-ai.iam.gserviceaccount.com" \ --repo broadinstitute/viral-ngs ``` ### 5. Add the workflow steps See the canonical pattern below. ## Canonical Workflow Pattern ```yaml permissions: id-token: write # for OIDC token to GCP via WIF # plus whatever else your workflow needs (contents: read, issues: write, etc.) steps: - name: Checkout repository uses: actions/checkout@v4 with: # If Claude needs git history (`git log --grep`, `git show`), use 0. # Otherwise the default shallow clone is fine. fetch-depth: 0 - name: Authenticate to GCP via Workload Identity Federation uses: google-github-actions/auth@v2 with: workload_identity_provider: ${{ vars.GCP_WIP_PROVIDER }} service_account: ${{ vars.GCP__SA_EMAIL }} - name: Claude on Vertex AI # Pin to commit SHA for supply-chain safety; bump when picking up new releases. uses: anthropics/claude-code-action@ # v1 env: CLAUDE_CODE_USE_VERTEX: '1' CLOUD_ML_REGION: global # Sonnet 4.6 supports the global endpoint ANTHROPIC_VERTEX_PROJECT_ID: ${{ vars.GCP_PROJECT_ID }} with: use_vertex: 'true' github_token: ${{ secrets.GITHUB_TOKEN }} # avoids needing the Claude Code GitHub App claude_args: '--model claude-sonnet-4-6 --max-turns 30' settings: | { "permissions": { "allow": [ "Read", "Write", "Bash(git log:*)", "Bash(grep:*)", "Bash(jq:*)" # ... add only what the prompt actually needs ] } } prompt: | ``` ## Gotchas (Things We Learned the Hard Way) - **`iamcredentials.googleapis.com` must be enabled.** WIF impersonation calls this API; without it you get `IAM Service Account Credentials API has not been used in project ... before or it is disabled` from the Claude action, AFTER auth appears to succeed. Confusing. - **Use `@v1`, not `@beta`.** `claude-code-action@beta` is the older API shape with separate `direct_prompt`, `max_turns`, `allowed_tools` inputs. `@v1` consolidates everything into `prompt` + `claude_args` + `settings`. Pin to a commit SHA, not the floating tag. - **Both `use_vertex: 'true'` AND `CLAUDE_CODE_USE_VERTEX=1` are needed** — the input goes to the action wrapper, the env var goes to the underlying `claude-code` CLI. - **Pass `github_token: ${{ secrets.GITHUB_TOKEN }}`** to skip the Claude Code GitHub App requirement. Without this you get `Error: Claude Code is not installed on this repository`. - **The permission DSL doesn't take path globs on `Write` or paths on `Bash` command names.** `Write(/tmp/issues/**)` and `Bash(mkdir:/tmp/issues*)` are silently rejected and Claude hits `permission_denials_count > 0`. The `Bash(:*)` pattern is for the *args after the command*, not paths embedded in the command name. For now, use unrestricted `Write` and rely on prompt instructions to constrain output paths. - **Region `global` (recommended) gives dynamic routing across regions for Sonnet 4.6.** Pin to a specific region (e.g., `us-east5`, `europe-west1`) only if you need data-residency control. - **`fetch-depth: 0` if Claude needs git history.** Default `actions/checkout` is shallow (depth=1); `git log --all --grep` and `git show ` will produce empty results without unshallowing. - **Always `jq`-query authoritative data sources in the prompt.** When Claude has multiple ways to learn a fact (training data vs reading a workspace file), tell it explicitly which is canonical and require the tool call. Otherwise it sometimes infers from training data. ## Cost / Safety - **Cost gate:** invoke Claude only when the workflow has real work to do (e.g., new CVEs detected, PR opened by non-bot). Don't invoke on every schedule tick unconditionally. - **Turn cap:** `--max-turns 30` is generous for triage-style tasks; tighten if you can. Observed: 6–10 turns for one-CVE analyses. - **Cost order of magnitude:** Sonnet 4.6 ≈ $0.10–1 per non-trivial task (one-CVE analysis with full repo reading). Opus 4.7 is ~5× more expensive for marginal quality gain on most CI tasks. - **Provider gate:** the OIDC provider attribute condition limits token minting to repos owned by `broadinstitute`. Other GitHub orgs cannot use this pool. - **SA gate:** each SA's `workloadIdentityUser` binding limits which repos can impersonate it. Default scope: `attribute.repository/broadinstitute/viral-ngs`. Tighten with `attribute.ref` or `attribute.workflow` if needed. - **Tool allowlist:** only allow tools the prompt actually uses. Avoid wildcard `Bash(*:*)` — name specific commands like `Bash(git log:*)`. ## Key Files | File | Purpose | |------|---------| | `.github/workflows/container-scan.yml` | First use case (CVE triage); reference for the workflow pattern | | `.agents/skills/container-vulns/SKILL.md` | The CVE triage playbook this infra serves | ## References - [`anthropics/claude-code-action`](https://github.com/anthropics/claude-code-action) - [Claude Code on Google Vertex AI](https://code.claude.com/docs/en/google-vertex-ai) - [`google-github-actions/auth`](https://github.com/google-github-actions/auth) (WIF action) ================================================ FILE: .agents/skills/container-vulns/SKILL.md ================================================ # Container Vulnerability Management Guidance for scanning, triaging, and mitigating container image vulnerabilities in the viral-ngs Docker image hierarchy. ## Scanning Container images are scanned for vulnerabilities using [Trivy](https://aquasecurity.github.io/trivy/): - **On every PR/push**: `docker.yml` scans each image flavor after build (SARIF -> GitHub Security tab, JSON -> artifact) - **Weekly schedule**: `container-scan.yml` scans the latest published images. When new fixable HIGH/CRITICAL CVEs are detected (i.e. CVE IDs not already present in any open or closed GH issue title), the workflow invokes Claude Sonnet 4.6 on Vertex AI to triage each one and files a GitHub issue per CVE (labels: `security`, `cve`). The Vertex/WIF infra used here is documented in `.agents/skills/claude-on-vertex-ci/SKILL.md`. - Scans filter to **CRITICAL/HIGH** severity, **ignore-unfixed**, and apply a Rego policy (`.trivy-ignore-policy.rego`) - Per-CVE exceptions go in `.trivyignore` with mandatory justification comments ## Rego Policy (`.trivy-ignore-policy.rego`) The Rego policy filters CVEs that are architecturally inapplicable to ephemeral batch containers: - **AV:P** (Physical access required) -- containers are cloud-hosted - **AV:A** (Adjacent network required) -- no attacker on same network segment - **AV:L + UI:R** (Local + user interaction) -- no interactive sessions - **AV:L + PR:H** (Local + high privileges) -- containers run non-root - **AV:L + S:U** (Local + scope unchanged) -- attacker already has code execution and impact stays within the ephemeral container Changes to this policy should be reviewed carefully. The comments in the file explain the rationale and risk for each rule. ## Common Vulnerability Sources **Python transitive deps**: Pin minimum versions in `docker/requirements/*.txt`. Prefer conda packages over pip. Check conda-forge availability before assuming a version exists -- conda-forge often lags PyPI by days/weeks. **Java fat JARs** (picard, gatk, snpeff, fgbio): Bioinformatics Java tools are distributed as uber JARs with all dependencies bundled inside. Trivy detects vulnerable libraries (log4j, commons-compress, etc.) baked into these JARs. Version bumps can cause ARM64 conda solver conflicts because Java tools pull in openjdk -> harfbuzz -> icu version chains that clash with other packages (r-base, boost-cpp, pyicu). Always check: 1. Whether the tool is actually flagged by Trivy (don't bump versions unnecessarily) 2. Whether the CVE applies (e.g., log4j 1.x is NOT vulnerable to Log4Shell) 3. Whether the desired version resolves on ARM64 before pushing **Go binaries**: Some conda packages bundle compiled Go binaries (e.g., mafft's `dash_client`, google-cloud-sdk's `gcloud-crc32c`). If the binary is unused, delete it in the Dockerfile. Delete from **both** the installed location and `/opt/conda/pkgs/*/` (conda package cache) -- Trivy scans the full filesystem. **Vendored copies**: Packages like google-cloud-sdk and setuptools bundle their own copies of Python libraries that may be older than what's in the conda environment. Trivy flags these vendored copies separately. Options: delete the vendored directory (if not needed at runtime), or accept the risk in `.trivyignore` with justification. ## ARM64 Solver Conflicts The conda solver on ARM64 (linux-aarch64) is more constrained than amd64 because fewer package builds exist. Common conflict patterns: - **icu version conflicts**: Many packages (openjdk, r-base, boost-cpp, pyicu) pin specific icu version ranges. Bumping one package can make the entire environment unsolvable. - **libdeflate/htslib conflicts**: lofreq 2.1.5 pins old htslib/libdeflate versions that conflict with newer pillow/libtiff. - **openjdk version escalation**: snpeff 5.2+ requires openjdk>=11, 5.3+ requires openjdk>=21. Higher openjdk versions pull in harfbuzz->icu chains that conflict with everything. When a solver conflict occurs: revert the change, check what version the solver was picking before, and pin to that exact version if it already addresses the CVE. ## Mitigation Decision Process When triaging a CVE: 1. **Check the CVSS vector** -- does the Rego policy already filter it? 2. **Identify the source package** -- use Trivy JSON output (`PkgName`, `PkgPath`, `InstalledVersion`) 3. **Check if a fix version exists on conda-forge/bioconda** -- not just on PyPI 4. **Test on ARM64** -- solver conflicts are the most common failure mode 5. **If the fix version conflicts**: consider whether the CVE is exploitable in your deployment model. Document the risk assessment in `.trivyignore` or `vulnerability-mitigation-status.md`. 6. **If the vulnerable code is unused**: delete the binary/file inline in the Dockerfile (same RUN layer as install to avoid bloating images) ## Key Files | File | Purpose | |------|---------| | `.trivy-ignore-policy.rego` | Rego policy for class-level CVE filtering | | `.trivyignore` | Per-CVE exceptions with justifications | | `.github/workflows/docker.yml` | Build-time scanning (SARIF + JSON) | | `.github/workflows/container-scan.yml` | Weekly scheduled scanning | | `vulnerability-mitigation-status.md` | Local-only tracking doc (not committed) | ================================================ FILE: .agents/skills/dsub-batch-jobs/SKILL.md ================================================ # Running Batch Jobs on GCP via dsub Use dsub to run one-off compute jobs on Google Cloud when your analysis requires more compute/memory than the local environment, or needs specific Docker images that are impractical to run locally. ## When to Use - Analysis tools need >8GB RAM (e.g., VADR, BLAST, assembly) - Need to run many independent jobs in parallel (batch processing) - Need a specific Docker image with pre-installed tools - Data lives in GCS and is most efficiently processed in-cloud ## Prerequisites - **dsub** installed (ask the user where their dsub installation or venv is located) - **gcloud CLI** authenticated with a GCP project that has Batch API enabled - **GCS bucket** accessible by the project's default service account ## Generic Invocation ```bash dsub --provider google-cls-v2 \ --project \ --regions \ --image \ --machine-type \ --script \ --tasks \ --logging gs:///logs// ``` ### Key Parameters | Parameter | Description | |-----------|-------------| | `--provider google-cls-v2` | Use Google Cloud Batch (recommended over Life Sciences) | | `--project` | GCP project with Batch API enabled | | `--regions` | Compute region (e.g., `us-central1`) | | `--image` | Docker image to run (e.g., `staphb/vadr:1.6.4`) | | `--machine-type` | VM type (e.g., `n1-highmem-4` for 26GB RAM) | | `--script` | Local shell script to execute inside the container | | `--tasks` | TSV file defining one row per job (batch mode) | | `--logging` | GCS path for stdout/stderr logs | ## Task TSV Format The tasks TSV defines inputs, outputs, and environment variables for each job. Header row uses column prefixes to declare types: ``` --env VAR1 --env VAR2 --input FASTA --output RESULT --output LOG value1 value2 gs://bucket/input.fasta gs://bucket/output.txt gs://bucket/log.txt ``` - `--env NAME` -- environment variable passed to the script - `--input NAME` -- GCS file downloaded to a local path; the env var is set to the local path - `--output NAME` -- local path; after the script finishes, the file is uploaded to GCS Each non-header row is one job. All jobs run independently in parallel. ## GCP Project and Bucket Scoping The service account running dsub jobs must have read/write access to all GCS paths referenced in the tasks TSV. The simplest approach: 1. Use a GCP project whose default service account already has access to your data 2. Use a bucket within that same project for staging intermediate/output files 3. For ephemeral results, use a temp bucket with a lifecycle policy (e.g., 30-day auto-delete) ### Broad Viral Genomics Defaults Most developers on the viral-ngs codebase use: - **GCP project**: `gcid-viral-seq` - **Staging bucket**: `gs://viral-temp-30d` (30-day auto-delete lifecycle) These are not universal -- always confirm with the user before using them. ## Monitoring Jobs ```bash # Check job status dsub --provider google-cls-v2 --project --jobs --status # Or use dstat dstat --provider google-cls-v2 --project --jobs --status '*' # View logs gcloud storage cat gs:///logs//.log ``` ## Tips - **Batch over single jobs**: Always prefer `--tasks` with a TSV over individual `dsub` invocations. One TSV row per job is cleaner and easier to track. - **Machine sizing**: Check your tool's memory requirements. VADR needs ~16GB; use `n1-highmem-4` (26GB). Most tools work fine with `n1-standard-4` (15GB). - **Script portability**: Write the `--script` to be self-contained. It receives inputs/outputs as environment variables. Don't assume any local state. - **Logging**: Always set `--logging` to a GCS path so you can debug failures. - **Idempotency**: If re-running, dsub will create new jobs. Check for existing outputs before re-submitting to avoid redundant computation. ## Example: VADR Batch Analysis From the GATK-to-FreeBayes regression testing (PR #1053), we ran VADR on 30 FASTAs (15 assemblies x old/new) using dsub: ```bash source ~/venvs/dsub/bin/activate # or wherever dsub is installed dsub --provider google-cls-v2 \ --project gcid-viral-seq \ --regions us-central1 \ --image staphb/vadr:1.6.4 \ --machine-type n1-highmem-4 \ --script run_vadr.sh \ --tasks vadr_tasks.tsv \ --logging gs://viral-temp-30d/vadr_regression/logs/ ``` The tasks TSV had columns for VADR options (`--env VADR_OPTS`), model URL (`--env MODEL_URL`), input FASTA (`--input FASTA`), and outputs (`--output NUM_ALERTS`, `--output ALERTS_TSV`, `--output VADR_TGZ`). All 30 jobs completed in ~15 minutes total (running in parallel on GCP). ================================================ FILE: .agents/skills/regression-testing/SKILL.md ================================================ # Assembly Regression Testing End-to-end regression testing for assembly pipeline changes against Terra submissions. ## When to Use Use this playbook when a PR makes functional changes to the assembly or variant-calling pipeline (e.g., swapping variant callers, changing alignment parameters, modifying consensus logic). It compares assembly outputs from old vs new code across hundreds of real samples to validate equivalence or improvement. ## Prerequisites - **gcloud CLI** -- authenticated with access to Terra workspace GCS buckets - **mafft** -- for pairwise sequence alignment - **Python** with pandas and matplotlib (e.g., a dataviz venv) - **dsub** -- for running VADR batch jobs on GCP (see the `dsub-batch-jobs` skill) ## Workflow ### Step 1: Set Up Terra Submissions (Manual) The user must manually launch Terra submissions with old and new code: 1. Run the pipeline on a representative dataset using the **main branch** Docker image 2. Run the same pipeline on the same dataset using the **feature branch** Docker image 3. Note the submission IDs and workspace bucket for both runs ### Step 2: Discover Paired Samples Use `discover_pairs.py` to find all comparable old/new sample pairs by crawling GCS Cromwell output directories. ```bash python discover_pairs.py \ --bucket \ --old-sub \ --new-sub \ --output pairs.json ``` This produces a JSON mapping sample_name -> {old_tsv, new_tsv} for all samples present in both submissions. ### Step 3: Compare Assembly Outputs Use `compare_sample_pair.py` to compare each sample pair. This script: - Downloads assembly_stats TSVs from GCS - Compares metrics (coverage, % reference covered, length, etc.) - Downloads FASTA assemblies and aligns them with mafft - Reports SNPs, indels (events and bp), ambiguity diffs, and terminal extensions ```bash python compare_sample_pair.py \ --old-tsv --new-tsv \ --work-dir ./results/ \ --output-json ./results/.json ``` For batch processing, iterate over all entries in `pairs.json` and invoke `compare_sample_pair.py` for each sample pair (e.g., via a small wrapper script using `concurrent.futures` or `xargs`/GNU `parallel`). ### Step 4: Generate Report Use `generate_report.py` to aggregate all per-sample JSONs into plots and a markdown report. ```bash python generate_report.py \ --results-dir ./results/ \ --report-dir ./report/ \ --workspace-name ``` Outputs: - Summary TSV with per-assembly metrics - 8 plots (scatter plots, histograms, identity distribution) - Markdown report with summary tables and divergent assembly details ### Step 5: (Optional) VADR Annotation Quality For assemblies with internal indel differences, run VADR to assess whether indels cause frameshifts or other annotation problems. See the `dsub-batch-jobs` skill for details on running batch jobs via dsub. Use `run_vadr.sh` with dsub to run VADR on each FASTA: ```bash dsub --provider google-cls-v2 \ --project --regions us-central1 \ --image staphb/vadr:1.6.4 \ --machine-type n1-highmem-4 \ --script run_vadr.sh \ --tasks vadr_tasks.tsv \ --logging gs:///vadr_logs/ ``` VADR model parameters come from the viral-references repo: https://github.com/broadinstitute/viral-references/blob/main/annotation/vadr/vadr-by-taxid.tsv Use the taxid from the assembly_id (format: `sample_id-taxid`) to look up the correct `vadr_opts`, `min_seq_len`, `max_seq_len`, `vadr_model_tar_url`, and `vadr_model_tar_subdir`. ### Step 6: Post Results Post the report as a PR comment. Before posting: - **Self-review the proposed comment for confidential information** (sample names, internal paths, credentials, etc.). Ask the user if in doubt about what is safe to share publicly. - Include plots as image attachments if the PR is on GitHub - Attribute the analysis appropriately ## Key Patterns ### Per-Segment Alignment Multi-segment genomes (e.g., influenza with 8 segments) must be aligned **per-segment**, not as a single concatenated sequence. Otherwise, terminal effects at segment boundaries get misclassified as internal indels. The `compare_sample_pair.py` script handles this automatically: it pairs segments by FASTA header, aligns each pair independently, analyzes each alignment separately (so terminal effects stay terminal), and aggregates the statistics. ### Event Counting vs BP Counting For indels, both counts matter: - **BP count**: Total gap positions (e.g., "49 bp of indels") - **Event count**: Contiguous gap runs (e.g., "13 indel events") A single 26bp insertion is 1 event but 26 bp. Event counts better reflect the number of variant-calling decisions that differ between old and new code. ### VADR Frameshift Cascade Detection A single spurious 1bp indel in a coding region causes a cascade of VADR alerts: 1. `FRAMESHIFT` -- the indel shifts the reading frame 2. `STOP_CODON` -- premature stop codon in the shifted frame 3. `UNEXPECTED_LENGTH` -- protein length doesn't match model 4. `PEPTIDE_TRANSLATION_PROBLEM` -- for each downstream mature peptide When comparing VADR alert counts, a large delta (e.g., 32 -> 1) usually means one version has frameshift-causing indels that the other avoids. Check the `.alt.list` files to confirm which genes are affected. ## Interpreting Results ### What to Look For 1. **Identity distribution**: Most assemblies should be 100% identical. Any below 99.9% warrant investigation. 2. **SNP count = 0 for all assemblies**: Pipeline changes that only affect indel calling (e.g., swapping variant callers) should produce zero SNPs. 3. **Indel events**: The number and nature of indel differences. Are they in coding regions? Do they cause frameshifts? 4. **Coverage correlation**: Low-coverage samples (<10x) are most likely to show differences between variant callers. 5. **VADR alert deltas**: Fewer alerts = more biologically plausible assembly. Large improvements (e.g., -31 alerts) strongly favor the new code. ### Red Flags - Assemblies present in old but missing in new (or vice versa) - SNPs introduced where none existed before - VADR alerts increasing significantly for the new code - Differences concentrated in specific organisms/taxids ================================================ FILE: .agents/skills/regression-testing/compare_sample_pair.py ================================================ #!/usr/bin/env python3 """Compare assembly outputs between old and new code for a single sample pair. Takes two GCS URIs pointing at assembly_metadata TSV files (old and new), downloads them, compares metrics, aligns FASTAs with mafft, and outputs a JSON result. """ import argparse import csv import io import json import logging import os import subprocess logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s') log = logging.getLogger(__name__) METRICS_COLS = [ 'assembly_length', 'assembly_length_unambiguous', 'reads_aligned', 'mean_coverage', 'percent_reference_covered', 'reference_length', 'scaffolding_num_segments_recovered', 'reference_num_segments_required', ] FLOAT_COLS = {'mean_coverage', 'percent_reference_covered'} INT_COLS = {'assembly_length', 'assembly_length_unambiguous', 'reads_aligned', 'reference_length', 'scaffolding_num_segments_recovered', 'reference_num_segments_required'} def gcloud_cat(gcs_uri): """Read a GCS file's contents as a string.""" result = subprocess.run( ['gcloud', 'storage', 'cat', gcs_uri], capture_output=True, text=True, timeout=120 ) if result.returncode != 0: raise RuntimeError(f"gcloud storage cat failed for {gcs_uri}: {result.stderr.strip()}") return result.stdout def gcloud_cp(gcs_uri, local_path): """Download a GCS file to local path.""" result = subprocess.run( ['gcloud', 'storage', 'cp', gcs_uri, local_path], capture_output=True, text=True, timeout=120 ) if result.returncode != 0: raise RuntimeError(f"gcloud storage cp failed for {gcs_uri}: {result.stderr.strip()}") def parse_tsv(content): """Parse assembly_metadata TSV content into a dict keyed by assembly_id. Returns dict: assembly_id -> {col: value, ...} """ reader = csv.DictReader(io.StringIO(content), delimiter='\t') rows = {} for row in reader: # The first column is 'entity:assembly_id' assembly_id = row.get('entity:assembly_id', '').strip() if not assembly_id: continue # Parse numeric columns parsed = dict(row) for col in FLOAT_COLS: if col in parsed and parsed[col]: try: parsed[col] = float(parsed[col]) except (ValueError, TypeError): parsed[col] = None for col in INT_COLS: if col in parsed and parsed[col]: try: parsed[col] = int(parsed[col]) except (ValueError, TypeError): parsed[col] = None rows[assembly_id] = parsed return rows def parse_fasta(content): """Parse a FASTA string into list of (header, sequence) tuples.""" sequences = [] current_header = None current_seq = [] for line in content.strip().split('\n'): line = line.strip() if not line: continue if line.startswith('>'): if current_header is not None: sequences.append((current_header, ''.join(current_seq))) current_header = line[1:].strip() current_seq = [] else: current_seq.append(line) if current_header is not None: sequences.append((current_header, ''.join(current_seq))) return sequences def run_mafft_pair(old_seq, new_seq, work_dir, pair_id='0'): """Run mafft on a single pair of sequences. Returns aligned (old_seq, new_seq) strings.""" combined = os.path.join(work_dir, f'combined_{pair_id}.fasta') with open(combined, 'w') as f: f.write(f'>old_{pair_id}\n{old_seq}\n>new_{pair_id}\n{new_seq}\n') try: result = subprocess.run( ['mafft', '--auto', '--preservecase', '--quiet', '--thread', '1', combined], capture_output=True, text=True, timeout=300 ) finally: os.unlink(combined) if result.returncode != 0: raise RuntimeError(f"mafft failed: {result.stderr.strip()}") seqs = parse_fasta(result.stdout) if len(seqs) != 2: raise RuntimeError(f"Expected 2 sequences from mafft, got {len(seqs)}") return seqs[0][1], seqs[1][1] def align_and_analyze_fastas(old_fasta_path, new_fasta_path, work_dir): """Align old vs new FASTAs, handling multi-segment genomes. For single-segment: runs one mafft alignment and analyzes it. For multi-segment: pairs segments by header, aligns each pair separately, analyzes each independently (so terminal effects stay terminal), and aggregates the stats. Returns (aligned_fasta_path, stats_dict). """ with open(old_fasta_path) as f: old_fasta_text = f.read() with open(new_fasta_path) as f: new_fasta_text = f.read() old_seqs = parse_fasta(old_fasta_text) new_seqs = parse_fasta(new_fasta_text) if len(old_seqs) == 1 and len(new_seqs) == 1: # Simple case: single segment aln_old, aln_new = run_mafft_pair(old_seqs[0][1], new_seqs[0][1], work_dir) aligned = os.path.join(work_dir, 'aligned.fasta') with open(aligned, 'w') as f: f.write(f'>old_{old_seqs[0][0]}\n{aln_old}\n>new_{new_seqs[0][0]}\n{aln_new}\n') stats = analyze_alignment_seqs(aln_old, aln_new) return aligned, stats # Multi-segment: pair by header name old_dict = {h: s for h, s in old_seqs} new_dict = {h: s for h, s in new_seqs} common_headers = [h for h in old_dict if h in new_dict] if not common_headers: if len(old_seqs) == len(new_seqs): log.info(f" Multi-segment: headers don't match, pairing by position ({len(old_seqs)} segments)") common_headers = None else: raise RuntimeError( f"Cannot pair segments: {len(old_seqs)} old vs {len(new_seqs)} new, no matching headers") # Align each pair and analyze independently segment_pairs = [] if common_headers is not None: for i, h in enumerate(common_headers): aln_old, aln_new = run_mafft_pair(old_dict[h], new_dict[h], work_dir, pair_id=str(i)) segment_pairs.append((h, aln_old, aln_new)) else: for i in range(len(old_seqs)): aln_old, aln_new = run_mafft_pair(old_seqs[i][1], new_seqs[i][1], work_dir, pair_id=str(i)) segment_pairs.append((old_seqs[i][0], aln_old, aln_new)) n_segments = len(segment_pairs) log.info(f" Multi-segment alignment: {n_segments} segments aligned") # Analyze each segment independently, then aggregate agg = { 'alignment_length': 0, 'internal_length': 0, 'matches': 0, 'snps': 0, 'internal_insertions': 0, 'internal_deletions': 0, 'internal_insertion_events': 0, 'internal_deletion_events': 0, 'ambiguity_diffs': 0, 'terminal_old_left': 0, 'terminal_new_left': 0, 'terminal_old_right': 0, 'terminal_new_right': 0, 'terminal_extensions_old': 0, 'terminal_extensions_new': 0, 'terminal_extension_events_old': 0, 'terminal_extension_events_new': 0, } per_segment = [] for header, aln_old, aln_new in segment_pairs: seg_stats = analyze_alignment_seqs(aln_old, aln_new) per_segment.append({'segment': header, **seg_stats}) for key in agg: agg[key] += seg_stats.get(key, 0) # Compute aggregate identity total_bases_compared = agg['matches'] + agg['snps'] + agg['ambiguity_diffs'] agg['identity'] = agg['matches'] / total_bases_compared if total_bases_compared > 0 else 1.0 agg['n_segments'] = n_segments agg['per_segment'] = per_segment # Write per-segment alignment file (for review) aligned = os.path.join(work_dir, 'aligned.fasta') with open(aligned, 'w') as f: for header, aln_old, aln_new in segment_pairs: f.write(f'>old_{header}\n{aln_old}\n>new_{header}\n{aln_new}\n') return aligned, agg def analyze_alignment_seqs(old_seq_str, new_seq_str): """Analyze a pairwise alignment given two aligned sequence strings. Returns dict with alignment statistics. """ old_seq = old_seq_str.upper() new_seq = new_seq_str.upper() aln_len = len(old_seq) if len(new_seq) != aln_len: raise RuntimeError(f"Alignment sequences differ in length: {aln_len} vs {len(new_seq)}") ACGT = set('ACGT') # Find the internal region (where both sequences have bases) left_bound = 0 while left_bound < aln_len and (old_seq[left_bound] == '-' or new_seq[left_bound] == '-'): left_bound += 1 right_bound = aln_len - 1 while right_bound >= 0 and (old_seq[right_bound] == '-' or new_seq[right_bound] == '-'): right_bound -= 1 # Terminal extension counts (bp and events) terminal_old_left = 0 terminal_new_left = 0 terminal_old_right = 0 terminal_new_right = 0 # Track events: a contiguous run of gaps on one side = 1 event terminal_old_left_events = 0 terminal_new_left_events = 0 terminal_old_right_events = 0 terminal_new_right_events = 0 prev_old_gap = False prev_new_gap = False for i in range(left_bound): if old_seq[i] != '-' and new_seq[i] == '-': terminal_old_left += 1 if not prev_old_gap: terminal_old_left_events += 1 prev_old_gap = True prev_new_gap = False elif new_seq[i] != '-' and old_seq[i] == '-': terminal_new_left += 1 if not prev_new_gap: terminal_new_left_events += 1 prev_new_gap = True prev_old_gap = False else: prev_old_gap = False prev_new_gap = False prev_old_gap = False prev_new_gap = False for i in range(right_bound + 1, aln_len): if old_seq[i] != '-' and new_seq[i] == '-': terminal_old_right += 1 if not prev_old_gap: terminal_old_right_events += 1 prev_old_gap = True prev_new_gap = False elif new_seq[i] != '-' and old_seq[i] == '-': terminal_new_right += 1 if not prev_new_gap: terminal_new_right_events += 1 prev_new_gap = True prev_old_gap = False else: prev_old_gap = False prev_new_gap = False # Analyze internal region (bp counts and event counts) matches = 0 snps = 0 internal_insertions = 0 # bp count internal_deletions = 0 # bp count internal_insertion_events = 0 internal_deletion_events = 0 ambiguity_diffs = 0 in_insertion = False in_deletion = False for i in range(left_bound, right_bound + 1): o = old_seq[i] n = new_seq[i] if o == '-' and n != '-': internal_insertions += 1 if not in_insertion: internal_insertion_events += 1 in_insertion = True in_deletion = False elif o != '-' and n == '-': internal_deletions += 1 if not in_deletion: internal_deletion_events += 1 in_deletion = True in_insertion = False else: in_insertion = False in_deletion = False if o == n: if o != '-': matches += 1 elif o in ACGT and n in ACGT: snps += 1 else: ambiguity_diffs += 1 total_internal = right_bound - left_bound + 1 if right_bound >= left_bound else 0 total_bases_compared = matches + snps + ambiguity_diffs identity = matches / total_bases_compared if total_bases_compared > 0 else 1.0 return { 'alignment_length': aln_len, 'internal_length': total_internal, 'matches': matches, 'snps': snps, 'internal_insertions': internal_insertions, 'internal_deletions': internal_deletions, 'internal_insertion_events': internal_insertion_events, 'internal_deletion_events': internal_deletion_events, 'ambiguity_diffs': ambiguity_diffs, 'terminal_old_left': terminal_old_left, 'terminal_new_left': terminal_new_left, 'terminal_old_right': terminal_old_right, 'terminal_new_right': terminal_new_right, 'terminal_extensions_old': terminal_old_left + terminal_old_right, 'terminal_extensions_new': terminal_new_left + terminal_new_right, 'terminal_extension_events_old': terminal_old_left_events + terminal_old_right_events, 'terminal_extension_events_new': terminal_new_left_events + terminal_new_right_events, 'identity': identity, } def analyze_alignment(aligned_fasta_path): """Analyze pairwise alignment from mafft output file. Thin wrapper around analyze_alignment_seqs.""" with open(aligned_fasta_path) as f: seqs = parse_fasta(f.read()) if len(seqs) != 2: raise RuntimeError(f"Expected 2 sequences in alignment, got {len(seqs)}") return analyze_alignment_seqs(seqs[0][1], seqs[1][1]) def compare_assembly(assembly_id, old_row, new_row, work_dir): """Compare one assembly (old vs new). Downloads FASTAs, runs mafft, returns result dict.""" result = { 'assembly_id': assembly_id, 'taxid': old_row.get('taxid', ''), 'tax_name': old_row.get('tax_name', ''), 'old_metrics': {}, 'new_metrics': {}, 'deltas': {}, 'alignment': None, 'error': None, } # Extract metrics for col in METRICS_COLS: old_val = old_row.get(col) new_val = new_row.get(col) result['old_metrics'][col] = old_val result['new_metrics'][col] = new_val if old_val is not None and new_val is not None: try: result['deltas'][col] = float(new_val) - float(old_val) except (ValueError, TypeError): result['deltas'][col] = None # Get FASTA paths old_fasta_uri = old_row.get('assembly_fasta', '').strip() new_fasta_uri = new_row.get('assembly_fasta', '').strip() if not old_fasta_uri or not new_fasta_uri: log.info(f" {assembly_id}: skipping alignment (missing FASTA URI)") return result # Download FASTAs aln_dir = os.path.join(work_dir, f'aln_{assembly_id}') os.makedirs(aln_dir, exist_ok=True) old_fasta_local = os.path.join(aln_dir, 'old.fasta') new_fasta_local = os.path.join(aln_dir, 'new.fasta') try: log.debug(f" Downloading old FASTA: {old_fasta_uri}") gcloud_cp(old_fasta_uri, old_fasta_local) log.debug(f" Downloading new FASTA: {new_fasta_uri}") gcloud_cp(new_fasta_uri, new_fasta_local) # Check if FASTAs are non-empty if os.path.getsize(old_fasta_local) == 0 or os.path.getsize(new_fasta_local) == 0: log.info(f" {assembly_id}: skipping alignment (empty FASTA)") return result # Align and analyze (handles multi-segment genomes independently) log.debug(f" Running alignment for {assembly_id}") aligned_path, alignment_stats = align_and_analyze_fastas(old_fasta_local, new_fasta_local, aln_dir) result['alignment'] = alignment_stats identity = alignment_stats['identity'] snps = alignment_stats['snps'] indels = alignment_stats['internal_insertions'] + alignment_stats['internal_deletions'] log.info(f" {assembly_id}: identity={identity:.6f}, snps={snps}, indels={indels}, " f"terminal_ext_old={alignment_stats['terminal_extensions_old']}, " f"terminal_ext_new={alignment_stats['terminal_extensions_new']}") except Exception as e: log.error(f" {assembly_id}: alignment failed: {e}") result['error'] = str(e) finally: # Cleanup downloaded files for f in [old_fasta_local, new_fasta_local]: if os.path.exists(f): os.unlink(f) # Keep aligned file only if identity < 99.9% aligned_file = os.path.join(aln_dir, 'aligned.fasta') if os.path.exists(aligned_file): if result['alignment'] and result['alignment']['identity'] >= 0.999: os.unlink(aligned_file) else: log.info(f" Keeping alignment file for review: {aligned_file}") # Remove empty dir try: os.rmdir(aln_dir) except OSError: pass # dir not empty (kept alignment file) return result def main(): parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('--old-tsv', required=True, help='GCS URI of old assembly_metadata TSV') parser.add_argument('--new-tsv', required=True, help='GCS URI of new assembly_metadata TSV') parser.add_argument('--work-dir', required=True, help='Working directory for temp files') parser.add_argument('--output-json', required=True, help='Output JSON file path') parser.add_argument('--verbose', '-v', action='store_true', help='Enable debug logging') args = parser.parse_args() if args.verbose: logging.getLogger().setLevel(logging.DEBUG) os.makedirs(args.work_dir, exist_ok=True) # Download and parse TSVs log.info(f"Downloading old TSV: {args.old_tsv}") old_content = gcloud_cat(args.old_tsv) old_rows = parse_tsv(old_content) log.info(f"Downloading new TSV: {args.new_tsv}") new_content = gcloud_cat(args.new_tsv) new_rows = parse_tsv(new_content) # Extract sample_id from first row (or from TSV filename) sample_id = 'unknown' if old_rows: first_row = next(iter(old_rows.values())) sample_id = first_row.get('sample_id', 'unknown') elif new_rows: first_row = next(iter(new_rows.values())) sample_id = first_row.get('sample_id', 'unknown') log.info(f"Sample: {sample_id}") log.info(f"Old assemblies: {len(old_rows)}, New assemblies: {len(new_rows)}") # Find intersecting assembly_ids common_ids = sorted(set(old_rows.keys()) & set(new_rows.keys())) old_only_ids = sorted(set(old_rows.keys()) - set(new_rows.keys())) new_only_ids = sorted(set(new_rows.keys()) - set(old_rows.keys())) if old_only_ids: log.info(f" Assemblies only in old: {old_only_ids}") if new_only_ids: log.info(f" Assemblies only in new: {new_only_ids}") log.info(f" Assemblies in common: {len(common_ids)}") # Compare each intersecting assembly comparisons = [] for aid in common_ids: comp = compare_assembly(aid, old_rows[aid], new_rows[aid], args.work_dir) comparisons.append(comp) # Build output output = { 'sample_id': sample_id, 'old_tsv_uri': args.old_tsv, 'new_tsv_uri': args.new_tsv, 'old_assembly_count': len(old_rows), 'new_assembly_count': len(new_rows), 'assembly_count_match': len(old_rows) == len(new_rows), 'assemblies_only_in_old': old_only_ids, 'assemblies_only_in_new': new_only_ids, 'comparisons': comparisons, } with open(args.output_json, 'w') as f: json.dump(output, f, indent=2) log.info(f"Wrote results to {args.output_json}") if __name__ == '__main__': main() ================================================ FILE: .agents/skills/regression-testing/discover_pairs.py ================================================ #!/usr/bin/env python3 """Discover comparable old/new sample pairs by crawling GCS Cromwell output directories. For each submission, finds assembly_metadata TSV files named ``assembly_metadata-.tsv``, extracts sample names from filenames, and outputs the intersection as a JSON mapping. Usage: python discover_pairs.py \ --bucket fc-XXXXXXXX-... \ --old-sub \ --new-sub \ -o pairs.json """ import argparse import json import logging import re import subprocess logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s') log = logging.getLogger(__name__) def gcloud_ls(path): """List GCS path, return list of URIs. Returns [] on error.""" try: result = subprocess.run( ['gcloud', 'storage', 'ls', path], capture_output=True, text=True, timeout=60 ) if result.returncode != 0: log.warning(f"gcloud ls non-zero exit for {path}: {result.stderr.strip()}") return [] return [line.strip() for line in result.stdout.strip().split('\n') if line.strip()] except Exception as e: log.warning(f"gcloud ls failed for {path}: {e}") return [] def find_tsv_in_call_dir(call_dir_uri): """Find assembly_metadata TSV in a call directory, handling attempt-N subdirs. Returns (sample_name, tsv_uri) or (None, None). """ items = gcloud_ls(call_dir_uri) # Check for attempt-N subdirectories def attempt_sort_key(path): match = re.search(r'/attempt-(\d+)', path) return int(match.group(1)) if match else 0 attempt_dirs = sorted([i for i in items if '/attempt-' in i], key=attempt_sort_key, reverse=True) tsv_files = [i for i in items if i.endswith('.tsv')] # If there are attempt dirs, check the highest attempt first if attempt_dirs: for attempt_dir in attempt_dirs: attempt_items = gcloud_ls(attempt_dir) attempt_tsvs = [i for i in attempt_items if i.endswith('.tsv')] if attempt_tsvs: tsv_files = attempt_tsvs break for tsv in tsv_files: match = re.search(r'assembly_metadata-(.+)\.tsv$', tsv) if match: return match.group(1), tsv return None, None def discover_submission_tsvs(bucket, submission_id): """Find all assembly_metadata TSVs for a submission. Returns dict: sample_name -> tsv_gcs_uri """ base = f"gs://{bucket}/submissions/{submission_id}/assemble_denovo_metagenomic/" log.info(f"Listing workflow directories in {base}") wf_dirs = gcloud_ls(base) log.info(f"Found {len(wf_dirs)} workflow directories") results = {} for i, wf_dir in enumerate(wf_dirs): if i % 20 == 0: log.info(f" Scanning workflow {i+1}/{len(wf_dirs)}...") for call_name in ['call-assembly_stats_non_empty', 'call-assembly_stats_empty']: call_dir = f"{wf_dir}{call_name}/" sample_name, tsv_uri = find_tsv_in_call_dir(call_dir) if sample_name: if sample_name in results: log.warning(f"Duplicate sample {sample_name} -- keeping first occurrence") else: results[sample_name] = tsv_uri break log.info(f"Found TSVs for {len(results)} samples in submission {submission_id[:8]}") return results def main(): parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument('--bucket', required=True, help='Terra workspace GCS bucket ID (e.g., fc-XXXXXXXX-...)') parser.add_argument('--old-sub', required=True, help='Old submission ID (main branch)') parser.add_argument('--new-sub', required=True, help='New submission ID (feature branch)') parser.add_argument('--output', '-o', required=True, help='Output JSON file path') args = parser.parse_args() log.info(f"Old submission: {args.old_sub[:8]}") log.info(f"New submission: {args.new_sub[:8]}") old_tsvs = discover_submission_tsvs(args.bucket, args.old_sub) new_tsvs = discover_submission_tsvs(args.bucket, args.new_sub) # Find intersection common_samples = sorted(set(old_tsvs.keys()) & set(new_tsvs.keys())) old_only = sorted(set(old_tsvs.keys()) - set(new_tsvs.keys())) new_only = sorted(set(new_tsvs.keys()) - set(old_tsvs.keys())) log.info(f"Old-only samples: {len(old_only)}") log.info(f"New-only samples: {len(new_only)}") log.info(f"Intersecting samples: {len(common_samples)}") if old_only: log.info(f" Old-only: {old_only[:5]}{'...' if len(old_only) > 5 else ''}") if new_only: log.info(f" New-only: {new_only[:5]}{'...' if len(new_only) > 5 else ''}") pairs = {} for sample in common_samples: pairs[sample] = { 'old_tsv': old_tsvs[sample], 'new_tsv': new_tsvs[sample], } output = { 'bucket': args.bucket, 'old_submission': args.old_sub, 'new_submission': args.new_sub, 'old_sample_count': len(old_tsvs), 'new_sample_count': len(new_tsvs), 'paired_count': len(pairs), 'old_only': old_only, 'new_only': new_only, 'pairs': pairs, } with open(args.output, 'w') as f: json.dump(output, f, indent=2) log.info(f"Wrote {len(pairs)} pairs to {args.output}") if __name__ == '__main__': main() ================================================ FILE: .agents/skills/regression-testing/generate_report.py ================================================ #!/usr/bin/env python3 """Generate regression testing report with plots from per-sample JSON results. Aggregates all comparison results, produces summary TSV, plots, and markdown report. """ import argparse import glob import json import logging import os logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s') log = logging.getLogger(__name__) # Delay imports so script can show usage without these deps def get_deps(): import pandas as pd import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt return pd, plt def load_results(results_dir): """Load all per-sample JSON results.""" results = [] for path in sorted(glob.glob(os.path.join(results_dir, '*.json'))): try: with open(path) as f: results.append(json.load(f)) except Exception as e: log.warning(f"Failed to load {path}: {e}") return results def build_comparison_table(results, workspace_name): """Build a flat table of per-assembly comparisons.""" rows = [] for r in results: sample_id = r.get('sample_id', 'unknown') for comp in r.get('comparisons', []): row = { 'workspace': workspace_name, 'sample_id': sample_id, 'assembly_id': comp.get('assembly_id', ''), 'taxid': comp.get('taxid', ''), 'tax_name': comp.get('tax_name', ''), } # Metrics for col in ['percent_reference_covered', 'mean_coverage', 'assembly_length_unambiguous', 'assembly_length', 'reads_aligned', 'reference_length']: old_val = comp.get('old_metrics', {}).get(col) new_val = comp.get('new_metrics', {}).get(col) delta = comp.get('deltas', {}).get(col) row[f'old_{col}'] = old_val row[f'new_{col}'] = new_val row[f'delta_{col}'] = delta # Alignment stats aln = comp.get('alignment') if aln: row['alignment_identity'] = aln.get('identity') row['snp_count'] = aln.get('snps', 0) row['internal_insertions'] = aln.get('internal_insertions', 0) row['internal_deletions'] = aln.get('internal_deletions', 0) row['indel_count_bp'] = aln.get('internal_insertions', 0) + aln.get('internal_deletions', 0) row['indel_count_events'] = aln.get('internal_insertion_events', 0) + aln.get('internal_deletion_events', 0) row['terminal_extensions_old'] = aln.get('terminal_extensions_old', 0) row['terminal_extensions_new'] = aln.get('terminal_extensions_new', 0) row['terminal_extension_events_old'] = aln.get('terminal_extension_events_old', 0) row['terminal_extension_events_new'] = aln.get('terminal_extension_events_new', 0) row['ambiguity_diffs'] = aln.get('ambiguity_diffs', 0) else: row['alignment_identity'] = None row['snp_count'] = None row['indel_count_bp'] = None row['indel_count_events'] = None row['terminal_extensions_old'] = None row['terminal_extensions_new'] = None row['terminal_extension_events_old'] = None row['terminal_extension_events_new'] = None row['ambiguity_diffs'] = None row['error'] = comp.get('error') rows.append(row) return rows def build_sample_summary(results): """Build sample-level summary table.""" rows = [] for r in results: rows.append({ 'sample_id': r.get('sample_id', 'unknown'), 'old_assembly_count': r.get('old_assembly_count', 0), 'new_assembly_count': r.get('new_assembly_count', 0), 'assembly_count_match': r.get('assembly_count_match', False), 'assemblies_only_in_old': len(r.get('assemblies_only_in_old', [])), 'assemblies_only_in_new': len(r.get('assemblies_only_in_new', [])), 'num_comparisons': len(r.get('comparisons', [])), }) return rows def generate_plots(df, plot_dir): """Generate all plots from the comparison dataframe.""" _, plt = get_deps() os.makedirs(plot_dir, exist_ok=True) # Filter to rows with actual assemblies df_asm = df[df['old_percent_reference_covered'].notna() & df['new_percent_reference_covered'].notna()].copy() if len(df_asm) == 0: log.warning("No assembly comparisons with metrics — skipping plots") return # 1. Percent reference covered scatter fig, ax = plt.subplots(figsize=(8, 8)) ax.scatter(df_asm['old_percent_reference_covered'] * 100, df_asm['new_percent_reference_covered'] * 100, alpha=0.5, s=20) lims = [0, 105] ax.plot(lims, lims, 'r--', alpha=0.5, label='y=x') ax.set_xlabel('Old % Reference Covered') ax.set_ylabel('New % Reference Covered') ax.set_title('Percent Reference Covered: Old vs New') ax.set_xlim(lims) ax.set_ylim(lims) ax.legend() fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'pct_ref_covered_scatter.png'), dpi=150) plt.close(fig) # 2. Mean coverage scatter (log scale) df_cov = df_asm[df_asm['old_mean_coverage'].notna() & df_asm['new_mean_coverage'].notna() & (df_asm['old_mean_coverage'] > 0) & (df_asm['new_mean_coverage'] > 0)].copy() if len(df_cov) > 0: fig, ax = plt.subplots(figsize=(8, 8)) ax.scatter(df_cov['old_mean_coverage'], df_cov['new_mean_coverage'], alpha=0.5, s=20) min_v = min(df_cov['old_mean_coverage'].min(), df_cov['new_mean_coverage'].min()) * 0.8 max_v = max(df_cov['old_mean_coverage'].max(), df_cov['new_mean_coverage'].max()) * 1.2 ax.plot([min_v, max_v], [min_v, max_v], 'r--', alpha=0.5, label='y=x') ax.set_xscale('log') ax.set_yscale('log') ax.set_xlabel('Old Mean Coverage') ax.set_ylabel('New Mean Coverage') ax.set_title('Mean Coverage: Old vs New') ax.legend() fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'mean_coverage_scatter.png'), dpi=150) plt.close(fig) # 3. Assembly length scatter df_len = df_asm[df_asm['old_assembly_length_unambiguous'].notna() & df_asm['new_assembly_length_unambiguous'].notna()].copy() if len(df_len) > 0: fig, ax = plt.subplots(figsize=(8, 8)) ax.scatter(df_len['old_assembly_length_unambiguous'], df_len['new_assembly_length_unambiguous'], alpha=0.5, s=20) min_v = min(df_len['old_assembly_length_unambiguous'].min(), df_len['new_assembly_length_unambiguous'].min()) * 0.95 max_v = max(df_len['old_assembly_length_unambiguous'].max(), df_len['new_assembly_length_unambiguous'].max()) * 1.05 ax.plot([min_v, max_v], [min_v, max_v], 'r--', alpha=0.5, label='y=x') ax.set_xlabel('Old Unambiguous Length') ax.set_ylabel('New Unambiguous Length') ax.set_title('Assembly Length (Unambiguous): Old vs New') ax.legend() fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'assembly_length_scatter.png'), dpi=150) plt.close(fig) # 4. Delta pct_ref_covered histogram deltas = df_asm['delta_percent_reference_covered'].dropna() * 100 if len(deltas) > 0: fig, ax = plt.subplots(figsize=(8, 5)) ax.hist(deltas, bins=50, edgecolor='black', alpha=0.7) ax.axvline(0, color='r', linestyle='--', alpha=0.5) ax.set_xlabel('Delta % Reference Covered (New - Old)') ax.set_ylabel('Count') ax.set_title(f'Distribution of % Reference Covered Changes (n={len(deltas)})') fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'delta_pct_ref_covered_hist.png'), dpi=150) plt.close(fig) # 5. Alignment identity histogram df_aln = df_asm[df_asm['alignment_identity'].notna()].copy() if len(df_aln) > 0: fig, ax = plt.subplots(figsize=(8, 5)) identities = df_aln['alignment_identity'] * 100 ax.hist(identities, bins=50, edgecolor='black', alpha=0.7) ax.set_xlabel('Pairwise Identity (%)') ax.set_ylabel('Count') ax.set_title(f'Assembly Identity Distribution (n={len(identities)})') ax.axvline(100, color='r', linestyle='--', alpha=0.3) fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'alignment_identity_hist.png'), dpi=150) plt.close(fig) # 6. SNP and indel count histograms if len(df_aln) > 0: fig, axes = plt.subplots(1, 2, figsize=(14, 5)) snps = df_aln['snp_count'].dropna() if len(snps) > 0: max_snp = int(snps.max()) bins_snp = range(0, max(max_snp + 2, 3)) axes[0].hist(snps, bins=bins_snp, edgecolor='black', alpha=0.7) axes[0].set_xlabel('SNP Count') axes[0].set_ylabel('Number of Assemblies') axes[0].set_title(f'SNPs per Assembly (n={len(snps)})') indels = df_aln['indel_count_events'].dropna() if len(indels) > 0: max_indel = int(indels.max()) bins_indel = range(0, max(max_indel + 2, 3)) axes[1].hist(indels, bins=bins_indel, edgecolor='black', alpha=0.7) axes[1].set_xlabel('Indel Count (internal)') axes[1].set_ylabel('Number of Assemblies') axes[1].set_title(f'Internal Indels per Assembly (n={len(indels)})') fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'snp_indel_counts.png'), dpi=150) plt.close(fig) # 7. Terminal extensions histogram if len(df_aln) > 0: ext_old = df_aln['terminal_extensions_old'].dropna() ext_new = df_aln['terminal_extensions_new'].dropna() has_ext = (ext_old > 0) | (ext_new > 0) if has_ext.any(): fig, ax = plt.subplots(figsize=(8, 5)) ax.hist(ext_new[has_ext], bins=30, alpha=0.6, label='New extends beyond Old', edgecolor='black') ax.hist(ext_old[has_ext], bins=30, alpha=0.6, label='Old extends beyond New', edgecolor='black') ax.set_xlabel('Terminal Extension (bp)') ax.set_ylabel('Count') ax.set_title('Terminal Extensions') ax.legend() fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'terminal_extensions_hist.png'), dpi=150) plt.close(fig) # 8. Coverage vs identity if len(df_aln) > 0: df_ci = df_aln[df_aln['old_mean_coverage'].notna() & (df_aln['old_mean_coverage'] > 0)].copy() if len(df_ci) > 0: fig, ax = plt.subplots(figsize=(8, 5)) ax.scatter(df_ci['old_mean_coverage'], df_ci['alignment_identity'] * 100, alpha=0.5, s=20) ax.set_xscale('log') ax.set_xlabel('Mean Coverage') ax.set_ylabel('Pairwise Identity (%)') ax.set_title('Coverage vs Assembly Identity') fig.tight_layout() fig.savefig(os.path.join(plot_dir, 'coverage_vs_identity.png'), dpi=150) plt.close(fig) log.info(f"Generated plots in {plot_dir}") def generate_markdown_report(df, sample_df, workspace_name, report_dir, plot_dir): """Generate markdown report.""" pd, _ = get_deps() total_samples = len(sample_df) if sample_df.empty or 'old_assembly_count' not in sample_df.columns: samples_with_assemblies = 0 samples_count_match = 0 else: samples_with_assemblies = len(sample_df[sample_df['old_assembly_count'] > 0]) samples_count_match = len(sample_df[sample_df['assembly_count_match']]) samples_count_mismatch = total_samples - samples_count_match total_assemblies = len(df) if df.empty or 'alignment_identity' not in df.columns: df_aln = pd.DataFrame() else: df_aln = df[df['alignment_identity'].notna()] identical = len(df_aln[df_aln['alignment_identity'] >= 1.0]) if len(df_aln) > 0 else 0 near_identical = len(df_aln[(df_aln['alignment_identity'] >= 0.999) & (df_aln['alignment_identity'] < 1.0)]) if len(df_aln) > 0 else 0 minor_diff = len(df_aln[(df_aln['alignment_identity'] >= 0.99) & (df_aln['alignment_identity'] < 0.999)]) if len(df_aln) > 0 else 0 significant_diff = len(df_aln[df_aln['alignment_identity'] < 0.99]) if len(df_aln) > 0 else 0 if len(df_aln) > 0 and 'snp_count' in df_aln.columns: with_snps = len(df_aln[df_aln['snp_count'] > 0]) with_indels = len(df_aln[df_aln['indel_count_events'] > 0]) with_ambig = len(df_aln[df_aln['ambiguity_diffs'] > 0]) with_terminal = len(df_aln[(df_aln['terminal_extensions_old'] > 0) | (df_aln['terminal_extensions_new'] > 0)]) total_snps = int(df_aln['snp_count'].sum()) total_indel_bp = int(df_aln['indel_count_bp'].sum()) total_indel_events = int(df_aln['indel_count_events'].sum()) total_ambig = int(df_aln['ambiguity_diffs'].sum()) total_terminal_bp_old = int(df_aln['terminal_extensions_old'].sum()) total_terminal_bp_new = int(df_aln['terminal_extensions_new'].sum()) total_terminal_events_old = int(df_aln['terminal_extension_events_old'].sum()) total_terminal_events_new = int(df_aln['terminal_extension_events_new'].sum()) else: with_snps = with_indels = with_ambig = with_terminal = 0 total_snps = total_indel_bp = total_indel_events = total_ambig = 0 total_terminal_bp_old = total_terminal_bp_new = 0 total_terminal_events_old = total_terminal_events_new = 0 report_path = os.path.join(report_dir, f'report_{workspace_name}.md') with open(report_path, 'w') as f: f.write(f"# Regression Report: {workspace_name}\n\n") f.write(f"## Summary\n\n") f.write(f"| Metric | Value |\n") f.write(f"|--------|-------|\n") f.write(f"| Total samples compared | {total_samples} |\n") f.write(f"| Samples with assemblies (old) | {samples_with_assemblies} |\n") f.write(f"| Samples with matching assembly count | {samples_count_match} |\n") f.write(f"| Samples with mismatched assembly count | {samples_count_mismatch} |\n") f.write(f"| Total assembly comparisons | {total_assemblies} |\n") f.write(f"| Assemblies aligned | {len(df_aln)} |\n\n") f.write(f"## Assembly Identity\n\n") f.write(f"| Category | Count | % |\n") f.write(f"|----------|-------|---|\n") if len(df_aln) > 0: f.write(f"| Identical (100%) | {identical} | {100*identical/len(df_aln):.1f}% |\n") f.write(f"| Near-identical (99.9-100%) | {near_identical} | {100*near_identical/len(df_aln):.1f}% |\n") f.write(f"| Minor differences (99-99.9%) | {minor_diff} | {100*minor_diff/len(df_aln):.1f}% |\n") f.write(f"| Significant differences (<99%) | {significant_diff} | {100*significant_diff/len(df_aln):.1f}% |\n") f.write(f"\n") f.write(f"## Variant Counts\n\n") f.write(f"| Metric | Assemblies affected | Events | Bases |\n") f.write(f"|--------|--------------------:|-------:|------:|\n") f.write(f"| SNPs (A/C/G/T ↔ A/C/G/T) | {with_snps} | {total_snps} | {total_snps} |\n") f.write(f"| Internal indels | {with_indels} | {total_indel_events} | {total_indel_bp} |\n") f.write(f"| Ambiguity diffs (N ↔ A/C/G/T) | {with_ambig} | {total_ambig} | {total_ambig} |\n") f.write(f"| Terminal extensions (old only) | {with_terminal} | {total_terminal_events_old} | {total_terminal_bp_old} |\n") f.write(f"| Terminal extensions (new only) | {with_terminal} | {total_terminal_events_new} | {total_terminal_bp_new} |\n\n") # Metrics summary if len(df_aln) > 0: f.write(f"## Metrics Summary\n\n") f.write(f"| Metric | Median delta | Mean delta | Min | Max |\n") f.write(f"|--------|-------------|------------|-----|-----|\n") for col, label in [ ('delta_percent_reference_covered', '% Ref Covered'), ('delta_mean_coverage', 'Mean Coverage'), ('delta_assembly_length_unambiguous', 'Unambig Length'), ]: vals = df[col].dropna() if len(vals) > 0: f.write(f"| {label} | {vals.median():.4f} | {vals.mean():.4f} | {vals.min():.4f} | {vals.max():.4f} |\n") f.write(f"\n") # Divergent assemblies if len(df_aln) > 0 and 'alignment_identity' in df_aln.columns: divergent = df_aln[df_aln['alignment_identity'] < 0.999].sort_values('alignment_identity') else: divergent = pd.DataFrame() if len(divergent) > 0: f.write(f"## Divergent Assemblies (identity < 99.9%)\n\n") f.write(f"| Assembly ID | Tax Name | Identity | SNPs | Indel events (bp) | Ambig Diffs | Term Ext Old events (bp) | Term Ext New events (bp) |\n") f.write(f"|-------------|----------|----------|------|-------------------|-------------|--------------------------|---------------------------|\n") for _, row in divergent.iterrows(): indel_ev = int(row.get('indel_count_events', 0)) indel_bp = int(row.get('indel_count_bp', 0)) term_old_ev = int(row.get('terminal_extension_events_old', 0)) term_old_bp = int(row.get('terminal_extensions_old', 0)) term_new_ev = int(row.get('terminal_extension_events_new', 0)) term_new_bp = int(row.get('terminal_extensions_new', 0)) f.write(f"| {row['assembly_id']} | {row['tax_name']} | " f"{row['alignment_identity']*100:.3f}% | {row['snp_count']:.0f} | " f"{indel_ev} ({indel_bp}) | {row['ambiguity_diffs']:.0f} | " f"{term_old_ev} ({term_old_bp}) | " f"{term_new_ev} ({term_new_bp}) |\n") f.write(f"\n") # Assembly count mismatches if 'assembly_count_match' not in sample_df.columns: mismatches = pd.DataFrame() else: mismatches = sample_df[~sample_df['assembly_count_match']] if len(mismatches) > 0: f.write(f"## Assembly Count Mismatches\n\n") f.write(f"| Sample | Old Count | New Count | Only Old | Only New |\n") f.write(f"|--------|-----------|-----------|----------|----------|\n") for _, row in mismatches.iterrows(): f.write(f"| {row['sample_id']} | {row['old_assembly_count']} | " f"{row['new_assembly_count']} | {row['assemblies_only_in_old']} | " f"{row['assemblies_only_in_new']} |\n") f.write(f"\n") # Plot references f.write(f"## Plots\n\n") plot_files = sorted(os.listdir(plot_dir)) if os.path.isdir(plot_dir) else [] for pf in plot_files: if pf.endswith('.png'): rel_plot_dir = os.path.basename(plot_dir) f.write(f"![{pf}]({rel_plot_dir}/{pf})\n\n") log.info(f"Report written to {report_path}") return report_path def main(): parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('--results-dir', required=True, help='Directory with per-sample JSON results') parser.add_argument('--report-dir', required=True, help='Output directory for report') parser.add_argument('--workspace-name', required=True, help='Workspace name for report title') args = parser.parse_args() pd, plt = get_deps() results = load_results(args.results_dir) log.info(f"Loaded {len(results)} sample results") # Build comparison table comp_rows = build_comparison_table(results, args.workspace_name) df = pd.DataFrame(comp_rows) log.info(f"Total assembly comparisons: {len(df)}") # Build sample summary sample_rows = build_sample_summary(results) sample_df = pd.DataFrame(sample_rows) # Save summary TSV os.makedirs(args.report_dir, exist_ok=True) tsv_path = os.path.join(args.report_dir, f'summary_{args.workspace_name}.tsv') if len(df) > 0: df.to_csv(tsv_path, sep='\t', index=False) log.info(f"Summary TSV written to {tsv_path}") # Generate plots plot_dir = os.path.join(args.report_dir, f'plots_{args.workspace_name}') if len(df) > 0: generate_plots(df, plot_dir) # Generate markdown report generate_markdown_report(df, sample_df, args.workspace_name, args.report_dir, plot_dir) if __name__ == '__main__': main() ================================================ FILE: .agents/skills/regression-testing/run_vadr.sh ================================================ #!/bin/bash # Run VADR on a single FASTA file. # Inputs (env vars set by dsub): # FASTA - input FASTA file (localized by dsub) # VADR_OPTS - vadr options string # MIN_LEN - minimum sequence length (optional) # MAX_LEN - maximum sequence length (optional) # MODEL_URL - URL to vadr model tarball # MODEL_SUB - subdirectory within model tarball (optional) # Outputs (env vars set by dsub): # NUM_ALERTS - file to write num_alerts integer # ALERTS_TSV - file to write alerts TSV # VADR_TGZ - file to write full vadr output tarball set -euo pipefail # Default optional env vars to empty MODEL_URL="${MODEL_URL:-}" MODEL_SUB="${MODEL_SUB:-}" MIN_LEN="${MIN_LEN:-}" MAX_LEN="${MAX_LEN:-}" BASENAME=$(basename "${FASTA}" .fasta) # Download and unpack VADR models if [ -n "${MODEL_URL}" ]; then mkdir -p vadr-untar curl -fsSL "${MODEL_URL}" | tar -C vadr-untar -xzf - MODEL_DIR=$(find vadr-untar -mindepth 1 -maxdepth 1 -type d | head -1) ln -s "${MODEL_DIR}" vadr-models else ln -s /opt/vadr/vadr-models vadr-models fi if [ -n "${MODEL_SUB}" ]; then VADR_MODEL_DIR="vadr-models/${MODEL_SUB}" else VADR_MODEL_DIR="vadr-models" fi # Build trim args TRIM_ARGS="" if [ -n "${MIN_LEN}" ]; then TRIM_ARGS="${TRIM_ARGS} --minlen ${MIN_LEN}" fi if [ -n "${MAX_LEN}" ]; then TRIM_ARGS="${TRIM_ARGS} --maxlen ${MAX_LEN}" fi # Remove terminal ambiguous nucleotides /opt/vadr/vadr/miniscripts/fasta-trim-terminal-ambigs.pl \ "${FASTA}" ${TRIM_ARGS} > "${BASENAME}.trimmed.fasta" # Run VADR v-annotate.pl \ ${VADR_OPTS} \ --split --cpu $(nproc) \ --mdir "${VADR_MODEL_DIR}" \ "${BASENAME}.trimmed.fasta" \ "${BASENAME}" # Package outputs tar -C "${BASENAME}" -czf "${VADR_TGZ}" . # Extract alerts cut -f 5 "${BASENAME}/${BASENAME}.vadr.alt.list" | tail -n +2 > alerts.tsv cp alerts.tsv "${ALERTS_TSV}" wc -l < alerts.tsv > "${NUM_ALERTS}" echo "VADR complete. Alerts: $(cat "${NUM_ALERTS}")" ================================================ FILE: .claude/rules/container-vulns.md ================================================ --- paths: - "docker/**" - ".trivyignore" - ".trivy-ignore-policy.rego" - "vulnerability-mitigation-status.md" - ".github/workflows/container-scan.yml" - ".github/workflows/docker.yml" --- For container vulnerability management guidance, see .agents/skills/container-vulns/SKILL.md ================================================ FILE: .codecov.yml ================================================ # Codecov configuration # https://docs.codecov.com/docs/codecov-yaml coverage: status: project: default: informational: true # Never fails, just shows coverage info patch: default: informational: true # Never fails, just shows patch coverage # Flag configuration for multi-component coverage flags: core: paths: - src/viral_ngs/core/ - src/viral_ngs/util/ - src/viral_ngs/*.py carryforward: true assemble: paths: - src/viral_ngs/assemble/ - src/viral_ngs/assembly.py carryforward: true classify: paths: - src/viral_ngs/classify/ - src/viral_ngs/metagenomics.py - src/viral_ngs/taxon_filter.py - src/viral_ngs/kmer_utils.py carryforward: true phylo: paths: - src/viral_ngs/phylo/ - src/viral_ngs/interhost.py - src/viral_ngs/intrahost.py - src/viral_ngs/ncbi.py carryforward: true comment: layout: "reach,diff,flags,files" behavior: default require_changes: true # Only comment if coverage changes ================================================ FILE: .dockerignore ================================================ *.pyc __pycache__ ================================================ FILE: .gitattributes ================================================ *.rules linguist-language=Python ================================================ FILE: .github/actions/create-manifest/action.yml ================================================ name: 'Create Multi-Arch Manifest' description: 'Create multi-arch Docker manifest' inputs: ghcr-repo: description: 'GHCR repository base (e.g., ghcr.io/broadinstitute/viral-ngs)' required: true target-tag: description: 'Target manifest tag (just the tag, not full URL)' required: true source-amd64: description: 'Source AMD64 image tag' required: true source-arm64: description: 'Source ARM64 image tag' required: true description: description: 'Image description (reserved for future use)' required: false runs: using: 'composite' steps: - name: Create manifest shell: bash run: | docker buildx imagetools create \ --tag "${{ inputs.ghcr-repo }}:${{ inputs.target-tag }}" \ "${{ inputs.ghcr-repo }}:${{ inputs.source-amd64 }}" \ "${{ inputs.ghcr-repo }}:${{ inputs.source-arm64 }}" - name: Verify Docker Manifest List v2 format shell: bash run: | set -euo pipefail REPO_PATH="${REPO#ghcr.io/}" # Fetch registry access token TOKEN=$(curl -fsS "https://ghcr.io/token?service=ghcr.io&scope=repository:${REPO_PATH}:pull" | jq -er .token) || { echo "FAIL: Unable to retrieve token from ghcr.io" exit 1 } # Fetch manifest and capture HTTP status code + content type HTTP_STATUS=$(curl -sS -o /dev/null -w '%{http_code}' \ -H "Authorization: Bearer $TOKEN" \ -H "Accept: application/vnd.docker.distribution.manifest.list.v2+json" \ "https://ghcr.io/v2/${REPO_PATH}/manifests/${{ inputs.target-tag }}") || { echo "FAIL: Unable to retrieve manifest from ghcr.io for tag '${{ inputs.target-tag }}'" exit 1 } if [ "$HTTP_STATUS" != "200" ]; then echo "FAIL: Expected HTTP 200 when fetching manifest, got: $HTTP_STATUS" exit 1 fi CONTENT_TYPE=$(curl -sS -D- -o /dev/null \ -H "Authorization: Bearer $TOKEN" \ -H "Accept: application/vnd.docker.distribution.manifest.list.v2+json" \ "https://ghcr.io/v2/${REPO_PATH}/manifests/${{ inputs.target-tag }}" | grep -i content-type) if echo "$CONTENT_TYPE" | grep -qi "manifest.list.v2"; then echo "OK: Docker Manifest List v2 format confirmed" else echo "FAIL: Expected Docker Manifest List v2, got: $CONTENT_TYPE" exit 1 fi env: REPO: ${{ inputs.ghcr-repo }} ================================================ FILE: .github/actions/pull-with-retry/action.yml ================================================ name: 'Pull Docker Image with Retry' description: 'Pull a Docker image with retry logic' inputs: image: description: 'Full image reference to pull' required: true max-retries: description: 'Maximum number of retry attempts' default: '5' retry-delay: description: 'Delay between retries in seconds' default: '10' runs: using: 'composite' steps: - name: Pull image with retries shell: bash run: | for i in $(seq 1 ${{ inputs.max-retries }}); do echo "Attempt $i: Pulling ${{ inputs.image }}..." if docker pull "${{ inputs.image }}"; then echo "Successfully pulled image" exit 0 fi echo "Pull failed, waiting ${{ inputs.retry-delay }} seconds before retry..." sleep ${{ inputs.retry-delay }} done echo "Failed to pull image after ${{ inputs.max-retries }} attempts" exit 1 ================================================ FILE: .github/actions/setup-docker-build/action.yml ================================================ name: 'Setup Docker Build' description: 'Checkout, setup buildx, and login to GHCR' inputs: github-token: description: 'GitHub token for GHCR login' required: true checkout: description: 'Whether to checkout repository' default: 'true' fetch-depth: description: 'Git fetch depth' default: '1' fetch-tags: description: 'Whether to fetch tags' default: 'false' runs: using: 'composite' steps: - name: Checkout repository if: ${{ inputs.checkout == 'true' }} uses: actions/checkout@v4 with: fetch-depth: ${{ inputs.fetch-depth }} fetch-tags: ${{ inputs.fetch-tags }} - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - name: Log in to GitHub Container Registry uses: docker/login-action@v3 with: registry: ghcr.io username: ${{ github.actor }} password: ${{ inputs.github-token }} ================================================ FILE: .github/copilot-instructions.md ================================================ # Copilot Instructions This file provides guidance to GitHub Copilot when working with code in this repository. **IMPORTANT**: Always read [AGENTS.md](../AGENTS.md) at the start of every session before doing any work. It contains comprehensive project context and development guidelines that are essential for working in this codebase. ## Quick Reference - **Docker-centric development**: Run tests inside containers, not on host - **Import pattern**: `from viral_ngs import core` then `core.samtools.SamtoolsTool()` - **Test location**: `tests/unit//` - **Dependencies**: ALL via conda, not pip (see `docker/requirements/*.txt`) ## Running Tests ```bash docker run --rm \ -v $(pwd):/opt/viral-ngs/source \ quay.io/broadinstitute/viral-ngs:main-core \ pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit ``` ## Key Files | File | Purpose | |------|---------| | [AGENTS.md](../AGENTS.md) | Full AI assistant guidance | | [pyproject.toml](../pyproject.toml) | Package configuration | | [docker/](../docker/) | Dockerfiles and requirements | | [src/viral_ngs/](../src/viral_ngs/) | Source code | | [tests/](../tests/) | Test files | | [.agents/skills/](../.agents/skills/) | Reusable agent playbooks and scripts | ================================================ FILE: .github/workflows/audit-quay-tags.yml ================================================ name: Audit Quay.io Tags on: schedule: - cron: '0 8 * * 1' # Monday 8:00 UTC workflow_dispatch: permissions: {} jobs: audit-tags: runs-on: ubuntu-latest permissions: {} steps: - name: Install crane uses: imjasonh/setup-crane@v0.4 - name: Log in to Quay.io uses: docker/login-action@v3 with: registry: quay.io username: ${{ secrets.QUAY_USERNAME }} password: ${{ secrets.QUAY_TOKEN }} - name: Audit version tags run: | set -euo pipefail REPO="quay.io/broadinstitute/viral-ngs" FLAVORS="baseimage core assemble classify phylo" FAILED=0 # Check the 5 most recent version tags VERSIONS=$(crane ls "$REPO" | grep -E '^[0-9]+\.[0-9]+\.[0-9]+$' | sort -V | tail -5) if [[ -z "$VERSIONS" ]]; then echo "::error::No version tags found on ${REPO}" exit 1 fi check_tag() { local TAG="$1" if ! crane manifest "${REPO}:${TAG}" > /dev/null 2>&1; then echo "::error::MISSING: ${REPO}:${TAG}" FAILED=1 else echo "OK: ${REPO}:${TAG}" fi } for VERSION in $VERSIONS; do MAJOR_MINOR=$(echo "$VERSION" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') # Check mega tag (no suffix) — both X.Y.Z and X.Y check_tag "${VERSION}" check_tag "${MAJOR_MINOR}" # Check each flavor — both X.Y.Z-flavor and X.Y-flavor for FLAVOR in $FLAVORS; do check_tag "${VERSION}-${FLAVOR}" check_tag "${MAJOR_MINOR}-${FLAVOR}" done done if [[ $FAILED -ne 0 ]]; then echo "::error::Some version tags are missing from Quay.io!" exit 1 fi echo "All version tags verified." ================================================ FILE: .github/workflows/cleanup-images.yml ================================================ name: Cleanup Feature Branch Images on: delete: jobs: cleanup-quay-images: # Only run for branch deletions (not tags), and skip main if: github.event.ref_type == 'branch' && github.event.ref != 'main' runs-on: ubuntu-latest permissions: {} steps: - name: Compute tag prefix id: tag-prefix run: | # Apply the same sanitization as docker.yml's "Compute Docker image tag prefix": # replace "/" with "-" and strip leading "v" RAW="${{ github.event.ref }}" PREFIX=$(echo "$RAW" | sed 's|/|-|g') PREFIX=${PREFIX#v} echo "prefix=${PREFIX}" >> $GITHUB_OUTPUT echo "Tag prefix: ${PREFIX} (from branch: ${RAW})" - name: Safety check - refuse version-like branch names run: | PREFIX="${{ steps.tag-prefix.outputs.prefix }}" if [[ "$PREFIX" =~ ^[0-9]+\.[0-9]+ ]]; then echo "::error::Refusing to delete tags for version-like branch: $PREFIX" exit 1 fi - name: Install crane uses: imjasonh/setup-crane@v0.4 - name: Log in to Quay.io uses: docker/login-action@v3 with: registry: quay.io username: ${{ secrets.QUAY_USERNAME }} password: ${{ secrets.QUAY_TOKEN }} - name: Delete feature branch tags from Quay run: | TAG_PREFIX="${{ steps.tag-prefix.outputs.prefix }}" QUAY_REPO="quay.io/broadinstitute/viral-ngs" # Image tag suffixes - must be kept in sync with deploy-to-quay in docker.yml # See: .github/workflows/docker.yml deploy-to-quay job matrix SUFFIXES=("-baseimage" "-core" "-assemble" "-classify" "-phylo" "") for SUFFIX in "${SUFFIXES[@]}"; do TAG="${TAG_PREFIX}${SUFFIX}" echo "Deleting ${QUAY_REPO}:${TAG}..." # Use crane delete instead of skopeo delete. crane removes only the tag # reference, not the underlying manifest. This prevents cascade deletion # of other tags sharing the same digest (which caused the 3.0.10-baseimage # incident: skopeo deleted the manifest by digest, expiring all tags # pointing to it). crane delete "${QUAY_REPO}:${TAG}" 2>&1 || echo " Tag ${TAG} not found or already deleted" done ================================================ FILE: .github/workflows/container-scan.yml ================================================ name: Scheduled Container Vulnerability Scan on: schedule: # Weekly scan of main branch mega image every Monday at 06:00 UTC - cron: '0 6 * * 1' workflow_dispatch: inputs: test_cve_id: description: 'Optional: bypass new-CVE detection and force-analyze this specific CVE ID (for testing the Claude pipeline)' required: false type: string default: '' dry_run: description: 'Run Claude analysis but do NOT file GitHub issues (artifact still uploaded)' required: false type: boolean default: false permissions: {} env: GHCR_REPO: ghcr.io/broadinstitute/viral-ngs jobs: scan: runs-on: ubuntu-latest permissions: contents: read packages: read security-events: write issues: write # for filing CVE issues id-token: write # for OIDC token to GCP via WIF steps: - name: Checkout repository uses: actions/checkout@v4 with: # Full history so the Claude analysis step can `git log --grep` and `git show` # precedent CVE-fix commits (e.g., to mirror past mitigation patterns exactly). fetch-depth: 0 - name: Log in to GHCR uses: docker/login-action@v3 with: registry: ghcr.io username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - name: Run Trivy vulnerability scanner uses: aquasecurity/trivy-action@master with: image-ref: '${{ env.GHCR_REPO }}:main-mega-amd64' format: 'sarif' output: 'trivy-results.sarif' severity: 'CRITICAL,HIGH' limit-severities-for-sarif: true exit-code: '0' ignore-unfixed: true trivyignores: '.trivyignore' ignore-policy: '.trivy-ignore-policy.rego' - name: Run Trivy vulnerability scanner (JSON) uses: aquasecurity/trivy-action@master with: image-ref: '${{ env.GHCR_REPO }}:main-mega-amd64' format: 'json' output: 'trivy-results.json' severity: 'CRITICAL,HIGH' exit-code: '0' # don't fail here — Claude pipeline + final-step gate handles signaling ignore-unfixed: true trivyignores: '.trivyignore' ignore-policy: '.trivy-ignore-policy.rego' - name: Log scan result count if: always() run: | if [ -f trivy-results.sarif ]; then COUNT=$(jq '[.runs[].results[]] | length' trivy-results.sarif) echo "::notice::Trivy found $COUNT findings for mega-scheduled (after policy filtering)" fi - name: Upload Trivy scan results to GitHub Security tab if: always() uses: github/codeql-action/upload-sarif@v3 with: sarif_file: 'trivy-results.sarif' category: 'container-mega-scheduled' - name: Upload Trivy JSON results if: always() uses: actions/upload-artifact@v4 with: name: trivy-mega-scheduled path: trivy-results.json # === Claude triage pipeline === # If new fixable HIGH/CRITICAL CVEs are found, hand them to Claude (Sonnet 4.6 # on Vertex AI) for analysis, then file GitHub issues. Source of truth for # "new" is GH issues themselves: a CVE is new if no existing issue (open OR # closed) has the CVE ID in its title. - name: Identify new fixable CVEs id: triage env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Use github.event.inputs (not inputs) so this is well-defined on schedule too. TEST_CVE_ID: ${{ github.event.inputs.test_cve_id || '' }} run: | set -euo pipefail # Test mode: bypass scan-diff and use the provided CVE ID directly. if [ -n "${TEST_CVE_ID:-}" ]; then echo "::notice::Test mode active — analyzing TEST_CVE_ID=$TEST_CVE_ID" echo "cve_ids=$TEST_CVE_ID" >> "$GITHUB_OUTPUT" echo "test_mode=true" >> "$GITHUB_OUTPUT" exit 0 fi # Production mode: parse trivy JSON for fixable HIGH/CRITICAL CVEs. all_cves=$(jq -r ' [.Results[]?.Vulnerabilities[]? | select((.Severity == "HIGH" or .Severity == "CRITICAL") and (.FixedVersion // "") != "") | .VulnerabilityID] | unique[] ' trivy-results.json) if [ -z "$all_cves" ]; then echo "::notice::No fixable HIGH/CRITICAL CVEs in scan." echo "cve_ids=" >> "$GITHUB_OUTPUT" echo "test_mode=false" >> "$GITHUB_OUTPUT" exit 0 fi # Dedup against existing GH issues (open + closed) by title-substring search. new_cves=() for cve in $all_cves; do count=$(gh search issues \ --repo "$GITHUB_REPOSITORY" \ --state=all \ "\"$cve\" in:title" \ --json url --jq 'length') if [ "$count" = "0" ]; then new_cves+=("$cve") echo " NEW: $cve" else echo " existing issue for $cve, skipping" fi done new_list="${new_cves[*]:-}" echo "::notice::Found ${#new_cves[@]} new fixable CVE(s)" echo "cve_ids=$new_list" >> "$GITHUB_OUTPUT" echo "test_mode=false" >> "$GITHUB_OUTPUT" - name: Authenticate to GCP via Workload Identity Federation if: steps.triage.outputs.cve_ids != '' uses: google-github-actions/auth@v2 with: workload_identity_provider: ${{ vars.GCP_WIP_PROVIDER }} service_account: ${{ vars.GCP_SA_EMAIL }} - name: Ensure issue labels exist if: steps.triage.outputs.cve_ids != '' && (github.event.inputs.dry_run || 'false') != 'true' env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | # Idempotent: gh label create exits non-zero if label exists; ignore that. gh label create security --color B60205 --description "Security-related issue" --repo "$GITHUB_REPOSITORY" 2>/dev/null || true gh label create cve --color B60205 --description "CVE tracked in container scans" --repo "$GITHUB_REPOSITORY" 2>/dev/null || true gh label create test --color FBCA04 --description "Test issue (filed by workflow_dispatch test_cve_id)" --repo "$GITHUB_REPOSITORY" 2>/dev/null || true - name: Claude analysis on Vertex AI if: steps.triage.outputs.cve_ids != '' # Pinned to commit SHA (== v1 as of 2026-04-27) for supply-chain safety; # bump this SHA when picking up new claude-code-action releases. uses: anthropics/claude-code-action@567fe954a4527e81f132d87d1bdbcc94f7737434 # v1 env: CLAUDE_CODE_USE_VERTEX: '1' CLOUD_ML_REGION: global ANTHROPIC_VERTEX_PROJECT_ID: ${{ vars.GCP_PROJECT_ID }} with: use_vertex: 'true' github_token: ${{ secrets.GITHUB_TOKEN }} claude_args: '--model claude-sonnet-4-6 --max-turns 30' settings: | { "permissions": { "allow": [ "Read", "Write", "Bash(mkdir:*)", "Bash(git log:*)", "Bash(git show:*)", "Bash(git rev-parse:*)", "Bash(git grep:*)", "Bash(grep:*)", "Bash(find:*)", "Bash(jq:*)", "Bash(ls:*)", "Bash(cat:*)", "Bash(head:*)", "Bash(tail:*)" ] } } prompt: | You are triaging container vulnerabilities for the broadinstitute/viral-ngs repo. ## Your task For each CVE ID listed below, write a triage report to `/tmp/issues/.md`. The reports will be filed verbatim as GitHub issues by the next workflow step. **CVE IDs to analyze:** ${{ steps.triage.outputs.cve_ids }} **Test mode:** ${{ steps.triage.outputs.test_mode }} (If `true`, the CVE was supplied manually via `test_cve_id` and may not appear in the current scan's `trivy-results.json`. Use your training knowledge in that case and add a `> _Test analysis_` blockquote at the top of the report so reviewers know it was generated for pipeline validation, not from a real scan finding.) ## Required reading (do this BEFORE writing reports) 1. `trivy-results.json` (in the workspace root) — **the authoritative source for CVSS score, CVSS vector, package path, fix version, and references.** Query it with `jq` before writing any report. Example: ``` jq '.Results[]?.Vulnerabilities[]? | select(.VulnerabilityID == "")' trivy-results.json ``` You MUST cite the exact CVSS score and vector from this file in the "Vulnerability details" section — do NOT infer or estimate them from your own knowledge if the CVE is present in the JSON. If the CVE is NOT in the JSON (test mode, or scan-target divergence), explicitly say so in the report and use your training knowledge as a clearly-labeled fallback. 2. `.agents/skills/container-vulns/SKILL.md` — read fully. This is the repo's container-vulnerability playbook and tells you what the maintainers consider actionable vs. accepted risk. 3. `.trivyignore` — existing per-CVE exceptions with their justifications. Mirror the writing style and depth of justification when you recommend `.trivyignore` additions. 4. `.trivy-ignore-policy.rego` — Rego policy for class-level CVE filtering. Understand what it filters and why. 5. `docker/Dockerfile.*` — container build files showing dep installs and inline mitigations. Look for prior fixups (`find ... -exec rm`, `gem install`, etc.) applied to similar packages. 6. `docker/requirements/*.txt` — conda dependency lists. Use `grep` to find which file pulls in the affected package. 7. Recent git history — full history is available (the workflow checks out with `fetch-depth: 0`). Use: - `git log --all --oneline --grep ` to find prior commits touching the affected package - `git log --all --oneline --grep CVE-` to find prior CVE-fix commits - **`git show ` to inspect the FULL DIFF of any precedent fix you plan to cite. Read the diff, not just the commit message.** Many fixes combine multiple elements (e.g., file removal + reinstall) — your recommendation must mirror ALL elements of the precedent, not just the headline change. - ALWAYS verify a commit SHA exists with `git show ` before citing it in the report. ## Required structure for each report File path: `/tmp/issues/.md` (filename MUST match the CVE ID exactly). **First line MUST be a single H1 used as the issue title:** `# [CVE-YYYY-NNNN] : ` Then sections (use H2 `##` headers): 1. **Summary** — 2–3 sentences: what it is, severity, where it came from. 2. **Vulnerability details** — CVSS score + vector + plain-English meaning; 2–4 sentences explaining the bug technically. 3. **Dependency chain** — name the direct conda package or Docker layer that pulls this in. Trace transitive deps where you can. If you can't determine this confidently, say so explicitly — do NOT guess. 4. **Why the Rego policy didn't suppress it** — explain in terms of the AV/PR/UI/S vector classes the policy filters and why this CVE's vector doesn't match. 5. **Recommended fix** — concrete and actionable. Options: - Version bump (which file, which floor) - Inline Dockerfile mitigation (which Dockerfile, what RUN-block addition) - `.trivyignore` entry (with justification matching the existing style) Cite historical precedent when applicable: `(mirror the fix in commit )`. 6. **Practical exploitability** — in this deployment model (ephemeral batch containers, no network-facing services, no untrusted user input at runtime), is this actually reachable? Be honest and specific. 7. **References** — GHSA URL, NVD URL, vendor advisory. 8. **Attribution footer** — at the very end of the report, add a horizontal rule (`---`) on its own line, then this exact paragraph (italicized): `*This analysis and report were authored entirely by Claude Sonnet 4.6 (running on Google Vertex AI via the `container-scan.yml` triage pipeline). Independently verify the CVSS data, dependency chain, recommended fix, and commit SHAs before acting on this report.*` ## Constraints - `mkdir -p /tmp/issues` first. - One file per CVE. - Be concise. Each report should be readable in 1–2 minutes (target: 300–600 words). - Do NOT hallucinate package versions, file paths, or commit SHAs. Verify with tools when in doubt. - If you finish all reports with budget remaining, do NOT pad — stop. - name: Upload Claude analysis as artifact if: steps.triage.outputs.cve_ids != '' && always() uses: actions/upload-artifact@v4 with: name: claude-cve-analysis path: /tmp/issues/ if-no-files-found: warn - name: File GitHub issues if: steps.triage.outputs.cve_ids != '' && (github.event.inputs.dry_run || 'false') != 'true' env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} TEST_MODE: ${{ steps.triage.outputs.test_mode }} run: | set -uo pipefail shopt -s nullglob if [ ! -d /tmp/issues ]; then echo "::error::/tmp/issues does not exist — Claude analysis step likely failed" exit 1 fi md_files=(/tmp/issues/*.md) if [ ${#md_files[@]} -eq 0 ]; then echo "::error::No .md analysis files in /tmp/issues — Claude may have failed silently" exit 1 fi failed=0 for f in "${md_files[@]}"; do cve=$(basename "$f" .md) title=$(head -1 "$f" | sed 's/^# *//') body=$(tail -n +2 "$f") # Dedup-integrity guard: title MUST contain the CVE ID, otherwise the next # scheduled run won't recognize it as already-triaged via title-substring search. if ! echo "$title" | grep -qF "$cve"; then echo "::error::Issue title for $cve does not contain the CVE ID — refusing to file (would break dedup)" echo " Title was: $title" failed=$((failed+1)) continue fi label_args=(--label security --label cve) if [ "$TEST_MODE" = "true" ]; then label_args+=(--label test) fi echo "Creating issue for $cve: $title" if ! gh issue create \ --repo "$GITHUB_REPOSITORY" \ --title "$title" \ --body "$body" \ "${label_args[@]}"; then echo "::error::Failed to create issue for $cve" failed=$((failed+1)) fi done if [ $failed -gt 0 ]; then echo "::error::$failed issue(s) failed to create" exit 1 fi - name: Fail job if new CVEs were found (production mode only) if: steps.triage.outputs.cve_ids != '' && steps.triage.outputs.test_mode != 'true' run: | echo "::error::Scan found new fixable HIGH/CRITICAL CVEs. See filed issues for details." exit 1 ================================================ FILE: .github/workflows/docker.yml ================================================ name: Build and Test on: push: branches: - main - '**' tags: - '**' pull_request: branches: - main env: QUAY_REPO: quay.io/broadinstitute/viral-ngs GHCR_REPO: ghcr.io/broadinstitute/viral-ngs jobs: # Determine which paths changed to enable smart test filtering paths-filter: runs-on: ubuntu-latest permissions: contents: read outputs: core: ${{ steps.filter.outputs.core }} assemble: ${{ steps.filter.outputs.assemble }} classify: ${{ steps.filter.outputs.classify }} phylo: ${{ steps.filter.outputs.phylo }} docker: ${{ steps.filter.outputs.docker }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Check changed paths uses: dorny/paths-filter@v3 id: filter with: filters: | core: - 'src/viral_ngs/*.py' - 'src/viral_ngs/core/**' - 'src/viral_ngs/util/**' - 'tests/unit/core/**' - 'tests/conftest.py' - 'docker/requirements/core.txt' - 'docker/requirements/core-x86.txt' - 'docker/requirements/baseimage.txt' - 'docker/Dockerfile.core' - 'docker/Dockerfile.baseimage' - 'pyproject.toml' assemble: - 'src/viral_ngs/assemble/**' - 'src/viral_ngs/assembly.py' - 'tests/unit/assemble/**' - 'docker/requirements/assemble.txt' - 'docker/Dockerfile.assemble' classify: - 'src/viral_ngs/classify/**' - 'src/viral_ngs/metagenomics.py' - 'src/viral_ngs/taxon_filter.py' - 'src/viral_ngs/kmer_utils.py' - 'tests/unit/classify/**' - 'docker/requirements/classify.txt' - 'docker/Dockerfile.classify' phylo: - 'src/viral_ngs/phylo/**' - 'src/viral_ngs/interhost.py' - 'src/viral_ngs/intrahost.py' - 'src/viral_ngs/ncbi.py' - 'tests/unit/phylo/**' - 'docker/requirements/phylo.txt' - 'docker/requirements/phylo-x86.txt' - 'docker/Dockerfile.phylo' docker: - 'docker/**' - '.github/workflows/docker.yml' # Calculate version from git describe (once, shared by all jobs) get-version: runs-on: ubuntu-latest permissions: contents: read outputs: version: ${{ steps.version.outputs.version }} image-tag-prefix: ${{ steps.image-tag.outputs.prefix }} steps: - name: Checkout repository uses: actions/checkout@v4 with: fetch-depth: 0 # Full history for accurate git describe fetch-tags: true - name: Get version from git describe id: version run: | # Get version like: v1.25.0, 3.0.0, or v1.25.0-42-gabcdef # Match version tags with or without 'v' prefix, excluding archive/* tags RAW_VERSION=$(git describe --tags --always --match 'v*' --match '[0-9]*') # Strip leading 'v' if present RAW_VERSION=${RAW_VERSION#v} # Convert to PEP 440 format for setuptools_scm # git describe: 1.25.0-42-gabcdef -> PEP 440: 1.25.0.dev42+gabcdef if [[ "$RAW_VERSION" =~ ^([0-9]+\.[0-9]+\.[0-9]+)-([0-9]+)-g([a-f0-9]+)$ ]]; then VERSION="${BASH_REMATCH[1]}.dev${BASH_REMATCH[2]}+g${BASH_REMATCH[3]}" else # Clean version tag (e.g., 1.25.0) VERSION="$RAW_VERSION" fi echo "version=${VERSION}" >> $GITHUB_OUTPUT echo "Detected version: ${VERSION}" - name: Compute Docker image tag prefix id: image-tag run: | # For PRs, github.ref_name is "1020/merge" which contains "/" - invalid in Docker tags # Convert to a valid tag prefix: "pr-1020" for PRs, sanitized branch name for branches if [[ "${{ github.event_name }}" == "pull_request" ]]; then # Extract PR number from github.ref (refs/pull/1020/merge -> 1020) PR_NUMBER="${{ github.event.pull_request.number }}" PREFIX="pr-${PR_NUMBER}" else # For branches/tags, replace "/" with "-" to create valid Docker tags PREFIX=$(echo "${{ github.ref_name }}" | sed 's|/|-|g') # Strip leading 'v' for version tags (e.g., v3.0.1 -> 3.0.1) PREFIX=${PREFIX#v} fi echo "prefix=${PREFIX}" >> $GITHUB_OUTPUT echo "Image tag prefix: ${PREFIX}" # ============================================================================ # BASEIMAGE BUILD JOBS - Native multi-arch builds (no QEMU) # AMD64 and ARM64 build in parallel on native runners, then combined # ============================================================================ # Build baseimage for AMD64 build-baseimage-amd64: needs: get-version runs-on: ubuntu-latest permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (amd64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.baseimage platforms: linux/amd64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-amd64 cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-amd64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-amd64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Build baseimage for ARM64 (native runner) build-baseimage-arm64: needs: get-version runs-on: ubuntu-24.04-arm permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (arm64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.baseimage platforms: linux/arm64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-arm64 cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-arm64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-arm64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Create multi-arch manifest for baseimage create-manifest-baseimage: needs: [get-version, build-baseimage-amd64, build-baseimage-arm64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: baseimage-tag: ${{ steps.get-tag.outputs.tag }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Get baseimage tag id: get-tag run: echo "tag=${{ needs.get-version.outputs.image-tag-prefix }}-baseimage" >> $GITHUB_OUTPUT - name: Create multi-arch manifest uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: ${{ steps.get-tag.outputs.tag }} source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-arm64 description: 'Viral genomics analysis tools - base image' - name: Create additional tags for main branch if: github.ref == 'refs/heads/main' uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: baseimage source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-arm64 description: 'Viral genomics analysis tools - base image' - name: Create version tags if: github.ref_type == 'tag' run: | VERSION="${{ needs.get-version.outputs.image-tag-prefix }}" MAJOR_MINOR=$(echo "$VERSION" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') # Create version tag docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${VERSION}-baseimage \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-arm64 # Create major.minor tag docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${MAJOR_MINOR}-baseimage \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-arm64 # ============================================================================ # CORE BUILD JOBS - Native multi-arch builds # ============================================================================ # Build core for AMD64 (depends on baseimage-amd64, not manifest) build-core-amd64: needs: [get-version, build-baseimage-amd64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (amd64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.core platforms: linux/amd64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-amd64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-amd64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Build core for ARM64 (depends on baseimage-arm64, not manifest) build-core-arm64: needs: [get-version, build-baseimage-arm64] runs-on: ubuntu-24.04-arm permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (arm64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.core platforms: linux/arm64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-baseimage-arm64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-baseimage-arm64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Create multi-arch manifest for core create-manifest-core: needs: [get-version, build-core-amd64, build-core-arm64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: core-tag: ${{ steps.get-tag.outputs.tag }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Get core tag id: get-tag run: echo "tag=${{ needs.get-version.outputs.image-tag-prefix }}-core" >> $GITHUB_OUTPUT - name: Create multi-arch manifest uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: ${{ steps.get-tag.outputs.tag }} source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 description: 'Viral genomics analysis tools - core utilities' - name: Create additional tags for main branch if: github.ref == 'refs/heads/main' uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: core source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 description: 'Viral genomics analysis tools - core utilities' - name: Create version tags if: github.ref_type == 'tag' run: | VERSION="${{ needs.get-version.outputs.image-tag-prefix }}" MAJOR_MINOR=$(echo "$VERSION" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${VERSION}-core \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${MAJOR_MINOR}-core \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 # ============================================================================ # ASSEMBLE BUILD JOBS - Native multi-arch builds # ============================================================================ # Build assemble for AMD64 build-assemble-amd64: needs: [get-version, build-core-amd64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (amd64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.assemble platforms: linux/amd64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-assemble-amd64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-assemble-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-assemble-amd64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-assemble-amd64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Build assemble for ARM64 build-assemble-arm64: needs: [get-version, build-core-arm64] runs-on: ubuntu-24.04-arm permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (arm64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.assemble platforms: linux/arm64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-assemble-arm64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-assemble-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-assemble-arm64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-assemble-arm64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Create multi-arch manifest for assemble create-manifest-assemble: needs: [get-version, build-assemble-amd64, build-assemble-arm64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: assemble-tag: ${{ steps.get-tag.outputs.tag }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Get assemble tag id: get-tag run: echo "tag=${{ needs.get-version.outputs.image-tag-prefix }}-assemble" >> $GITHUB_OUTPUT - name: Create multi-arch manifest uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: ${{ steps.get-tag.outputs.tag }} source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-assemble-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-assemble-arm64 description: 'Viral genomics analysis tools - assembly' - name: Create additional tags for main branch if: github.ref == 'refs/heads/main' uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: assemble source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-assemble-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-assemble-arm64 description: 'Viral genomics analysis tools - assembly' - name: Create version tags if: github.ref_type == 'tag' run: | VERSION="${{ needs.get-version.outputs.image-tag-prefix }}" MAJOR_MINOR=$(echo "$VERSION" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${VERSION}-assemble \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-assemble-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-assemble-arm64 docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${MAJOR_MINOR}-assemble \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-assemble-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-assemble-arm64 # ============================================================================ # CLASSIFY BUILD JOBS - Native multi-arch builds # ============================================================================ # Build classify for AMD64 build-classify-amd64: needs: [get-version, build-core-amd64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (amd64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.classify platforms: linux/amd64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-classify-amd64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-classify-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-classify-amd64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-classify-amd64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Build classify for ARM64 build-classify-arm64: needs: [get-version, build-core-arm64] runs-on: ubuntu-24.04-arm permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (arm64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.classify platforms: linux/arm64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-classify-arm64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-classify-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-classify-arm64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-classify-arm64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Create multi-arch manifest for classify create-manifest-classify: needs: [get-version, build-classify-amd64, build-classify-arm64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: classify-tag: ${{ steps.get-tag.outputs.tag }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Get classify tag id: get-tag run: echo "tag=${{ needs.get-version.outputs.image-tag-prefix }}-classify" >> $GITHUB_OUTPUT - name: Create multi-arch manifest uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: ${{ steps.get-tag.outputs.tag }} source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-classify-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-classify-arm64 description: 'Viral genomics analysis tools - metagenomic classification' - name: Create additional tags for main branch if: github.ref == 'refs/heads/main' uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: classify source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-classify-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-classify-arm64 description: 'Viral genomics analysis tools - metagenomic classification' - name: Create version tags if: github.ref_type == 'tag' run: | VERSION="${{ needs.get-version.outputs.image-tag-prefix }}" MAJOR_MINOR=$(echo "$VERSION" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${VERSION}-classify \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-classify-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-classify-arm64 docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${MAJOR_MINOR}-classify \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-classify-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-classify-arm64 # ============================================================================ # PHYLO BUILD JOBS - Native multi-arch builds # ============================================================================ # Build phylo for AMD64 build-phylo-amd64: needs: [get-version, build-core-amd64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (amd64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.phylo platforms: linux/amd64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-phylo-amd64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-phylo-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-phylo-amd64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-phylo-amd64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Build phylo for ARM64 build-phylo-arm64: needs: [get-version, build-core-arm64] runs-on: ubuntu-24.04-arm permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (arm64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.phylo platforms: linux/arm64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-phylo-arm64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-phylo-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-phylo-arm64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-phylo-arm64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Create multi-arch manifest for phylo create-manifest-phylo: needs: [get-version, build-phylo-amd64, build-phylo-arm64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: phylo-tag: ${{ steps.get-tag.outputs.tag }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Get phylo tag id: get-tag run: echo "tag=${{ needs.get-version.outputs.image-tag-prefix }}-phylo" >> $GITHUB_OUTPUT - name: Create multi-arch manifest uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: ${{ steps.get-tag.outputs.tag }} source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-phylo-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-phylo-arm64 description: 'Viral genomics analysis tools - phylogenetics' - name: Create additional tags for main branch if: github.ref == 'refs/heads/main' uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: phylo source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-phylo-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-phylo-arm64 description: 'Viral genomics analysis tools - phylogenetics' - name: Create version tags if: github.ref_type == 'tag' run: | VERSION="${{ needs.get-version.outputs.image-tag-prefix }}" MAJOR_MINOR=$(echo "$VERSION" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${VERSION}-phylo \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-phylo-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-phylo-arm64 docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${MAJOR_MINOR}-phylo \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-phylo-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-phylo-arm64 # ============================================================================ # MEGA BUILD JOBS - Native multi-arch builds (all tools combined) # ============================================================================ # Build mega for AMD64 build-mega-amd64: needs: [get-version, build-core-amd64] runs-on: ubuntu-latest permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (amd64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.mega platforms: linux/amd64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-mega-amd64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-amd64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-mega-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-mega-amd64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-amd64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-mega-amd64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Build mega for ARM64 build-mega-arm64: needs: [get-version, build-core-arm64] runs-on: ubuntu-24.04-arm permissions: contents: read packages: write outputs: digest: ${{ steps.build.outputs.digest }} steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Build and push (arm64) id: build uses: docker/build-push-action@v6 with: context: . file: docker/Dockerfile.mega platforms: linux/arm64 provenance: false sbom: false outputs: type=image,push=true,oci-mediatypes=false tags: ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-mega-arm64 build-args: | BASEIMAGE=${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-core-arm64 VERSION=${{ needs.get-version.outputs.version }} cache-from: | type=registry,ref=${{ env.GHCR_REPO }}:cache-mega-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-mega-arm64-main type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-${{ needs.get-version.outputs.image-tag-prefix }} type=registry,ref=${{ env.GHCR_REPO }}:cache-core-arm64-main cache-to: type=registry,ref=${{ env.GHCR_REPO }}:cache-mega-arm64-${{ needs.get-version.outputs.image-tag-prefix }},mode=max # Create multi-arch manifest for mega create-manifest-mega: needs: [get-version, build-mega-amd64, build-mega-arm64] runs-on: ubuntu-latest permissions: contents: read packages: write steps: - name: Checkout repository uses: actions/checkout@v4 - name: Setup Docker build environment uses: ./.github/actions/setup-docker-build with: github-token: ${{ secrets.GITHUB_TOKEN }} checkout: 'false' - name: Create multi-arch manifest uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: ${{ needs.get-version.outputs.image-tag-prefix }} source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-mega-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-mega-arm64 description: 'Viral genomics analysis tools - all tools combined' - name: Create additional tags for main branch if: github.ref == 'refs/heads/main' uses: ./.github/actions/create-manifest with: ghcr-repo: ${{ env.GHCR_REPO }} target-tag: latest source-amd64: ${{ needs.get-version.outputs.image-tag-prefix }}-mega-amd64 source-arm64: ${{ needs.get-version.outputs.image-tag-prefix }}-mega-arm64 description: 'Viral genomics analysis tools - all tools combined' - name: Create version tags if: github.ref_type == 'tag' run: | VERSION="${{ needs.get-version.outputs.image-tag-prefix }}" MAJOR_MINOR=$(echo "$VERSION" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${VERSION} \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-mega-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-mega-arm64 docker buildx imagetools create \ --tag ${{ env.GHCR_REPO }}:${MAJOR_MINOR} \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-mega-amd64 \ ${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-mega-arm64 # ============================================================================ # VULNERABILITY SCAN JOBS - Trivy scans of amd64 images after build # Scans all 6 flavors in parallel; results uploaded as SARIF to Security tab # ============================================================================ scan-containers: needs: [get-version, build-baseimage-amd64, build-core-amd64, build-assemble-amd64, build-classify-amd64, build-phylo-amd64, build-mega-amd64] runs-on: ubuntu-latest permissions: contents: read packages: read security-events: write strategy: fail-fast: false matrix: flavor: [baseimage, core, assemble, classify, phylo, mega] steps: - name: Checkout repository uses: actions/checkout@v4 - name: Log in to GHCR uses: docker/login-action@v3 with: registry: ghcr.io username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - name: Run Trivy vulnerability scanner uses: aquasecurity/trivy-action@master with: image-ref: '${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-${{ matrix.flavor }}-amd64' format: 'sarif' output: 'trivy-results.sarif' severity: 'CRITICAL,HIGH' limit-severities-for-sarif: true exit-code: '0' ignore-unfixed: true trivyignores: '.trivyignore' ignore-policy: '.trivy-ignore-policy.rego' - name: Run Trivy vulnerability scanner (JSON) uses: aquasecurity/trivy-action@master with: image-ref: '${{ env.GHCR_REPO }}:${{ needs.get-version.outputs.image-tag-prefix }}-${{ matrix.flavor }}-amd64' format: 'json' output: 'trivy-results.json' severity: 'CRITICAL,HIGH' exit-code: '1' ignore-unfixed: true trivyignores: '.trivyignore' ignore-policy: '.trivy-ignore-policy.rego' - name: Log scan result count if: always() run: | if [ -f trivy-results.sarif ]; then COUNT=$(jq '[.runs[].results[]] | length' trivy-results.sarif) echo "::notice::Trivy found $COUNT findings for ${{ matrix.flavor }} (after policy filtering)" fi - name: Upload Trivy scan results to GitHub Security tab if: always() uses: github/codeql-action/upload-sarif@v3 with: sarif_file: 'trivy-results.sarif' category: 'container-${{ matrix.flavor }}' - name: Upload Trivy JSON results if: always() uses: actions/upload-artifact@v4 with: name: trivy-${{ matrix.flavor }} path: trivy-results.json # ============================================================================ # TEST JOBS - Run after corresponding manifests are created # Each test runs in its flavor's Docker container (x86 only) # ============================================================================ # Test core (x86) test-core: needs: [paths-filter, get-version, create-manifest-core] if: | github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' || needs.paths-filter.outputs.core == 'true' || needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-latest permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-core.outputs.core-tag }} - name: Run core tests run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-core.outputs.core-tag }} \ pytest tests/unit/core/ \ -v --tb=short \ --cov=viral_ngs \ --cov-report=xml:/workspace/coverage-core.xml \ -n auto - name: Upload coverage to Codecov if: github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' uses: codecov/codecov-action@v4 with: token: ${{ secrets.CODECOV_TOKEN }} files: ./coverage-core.xml flags: core name: codecov-core fail_ci_if_error: false # Test core (ARM64) - only on PRs with docker changes test-core-arm64: needs: [paths-filter, get-version, create-manifest-core] if: | github.event_name == 'pull_request' && needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-24.04-arm permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-core.outputs.core-tag }} - name: Run core tests (ARM64) run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-core.outputs.core-tag }} \ pytest tests/unit/core/ \ -v --tb=short \ -n auto # Test assemble (x86) test-assemble: needs: [paths-filter, get-version, create-manifest-assemble] if: | github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' || needs.paths-filter.outputs.assemble == 'true' || needs.paths-filter.outputs.core == 'true' || needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-latest permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-assemble.outputs.assemble-tag }} - name: Run assemble tests run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-assemble.outputs.assemble-tag }} \ pytest tests/unit/assemble/ \ -v --tb=short \ --cov=viral_ngs \ --cov-report=xml:/workspace/coverage-assemble.xml \ -n auto - name: Upload coverage to Codecov if: github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' uses: codecov/codecov-action@v4 with: token: ${{ secrets.CODECOV_TOKEN }} files: ./coverage-assemble.xml flags: assemble name: codecov-assemble fail_ci_if_error: false # Test assemble (ARM64) - only on PRs with docker changes test-assemble-arm64: needs: [paths-filter, get-version, create-manifest-assemble] if: | github.event_name == 'pull_request' && needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-24.04-arm permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-assemble.outputs.assemble-tag }} - name: Run assemble tests (ARM64) run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-assemble.outputs.assemble-tag }} \ pytest tests/unit/assemble/ \ -v --tb=short \ -n auto # Test classify (x86) test-classify: needs: [paths-filter, get-version, create-manifest-classify] if: | github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' || needs.paths-filter.outputs.classify == 'true' || needs.paths-filter.outputs.core == 'true' || needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-latest permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-classify.outputs.classify-tag }} - name: Run classify tests run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-classify.outputs.classify-tag }} \ pytest tests/unit/classify/ \ -v --tb=short \ --cov=viral_ngs \ --cov-report=xml:/workspace/coverage-classify.xml \ -n auto - name: Upload coverage to Codecov if: github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' uses: codecov/codecov-action@v4 with: token: ${{ secrets.CODECOV_TOKEN }} files: ./coverage-classify.xml flags: classify name: codecov-classify fail_ci_if_error: false # Test classify (ARM64) - only on PRs with docker changes test-classify-arm64: needs: [paths-filter, get-version, create-manifest-classify] if: | github.event_name == 'pull_request' && needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-24.04-arm permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-classify.outputs.classify-tag }} - name: Run classify tests (ARM64) run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-classify.outputs.classify-tag }} \ pytest tests/unit/classify/ \ -v --tb=short \ -n auto # Test phylo (x86) test-phylo: needs: [paths-filter, get-version, create-manifest-phylo] if: | github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' || needs.paths-filter.outputs.phylo == 'true' || needs.paths-filter.outputs.core == 'true' || needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-latest permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-phylo.outputs.phylo-tag }} - name: Run phylo tests run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-phylo.outputs.phylo-tag }} \ pytest tests/unit/phylo/ \ -v --tb=short \ --cov=viral_ngs \ --cov-report=xml:/workspace/coverage-phylo.xml \ -n auto - name: Upload coverage to Codecov if: github.event_name == 'pull_request' || github.ref == 'refs/heads/main' || github.ref_type == 'tag' uses: codecov/codecov-action@v4 with: token: ${{ secrets.CODECOV_TOKEN }} files: ./coverage-phylo.xml flags: phylo name: codecov-phylo fail_ci_if_error: false # Test phylo (ARM64) - only on PRs with docker changes test-phylo-arm64: needs: [paths-filter, get-version, create-manifest-phylo] if: | github.event_name == 'pull_request' && needs.paths-filter.outputs.docker == 'true' runs-on: ubuntu-24.04-arm permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 - name: Pull test image (with retries) uses: ./.github/actions/pull-with-retry with: image: ${{ env.GHCR_REPO }}:${{ needs.create-manifest-phylo.outputs.phylo-tag }} - name: Run phylo tests (ARM64) run: | docker run --rm \ -v ${{ github.workspace }}:/workspace \ -w /workspace \ ${{ env.GHCR_REPO }}:${{ needs.create-manifest-phylo.outputs.phylo-tag }} \ pytest tests/unit/phylo/ \ -v --tb=short \ -n auto # ============================================================================ # AGGREGATOR JOB - Single status check for branch protection # This job always runs and reports combined test status, allowing conditional # test jobs to be skipped without blocking PRs that don't need those tests. # ============================================================================ all-tests-pass: if: always() needs: - test-core - test-core-arm64 - test-assemble - test-assemble-arm64 - test-classify - test-classify-arm64 - test-phylo - test-phylo-arm64 runs-on: ubuntu-latest permissions: {} steps: - name: Check test results run: | # Get all job results results="${{ join(needs.*.result, ' ') }}" echo "Job results: $results" # Fail if any job failed or was cancelled for result in $results; do if [[ "$result" == "failure" || "$result" == "cancelled" ]]; then echo "One or more test jobs failed or were cancelled" exit 1 fi done echo "All test jobs passed or were skipped" # ============================================================================ # DEPLOY JOBS - Copy images from GHCR to Quay after tests pass # Uses crane to efficiently copy multi-arch manifests without re-pulling layers # ============================================================================ deploy-to-quay: needs: [ get-version, create-manifest-baseimage, create-manifest-core, create-manifest-assemble, create-manifest-classify, create-manifest-phylo, create-manifest-mega, all-tests-pass ] # Use always() to evaluate condition even when upstream jobs were skipped. # Without this, GitHub skips this job if any job in the dependency chain was skipped, # even if all direct dependencies succeeded. if: | always() && !cancelled() && needs.all-tests-pass.result == 'success' && needs.create-manifest-baseimage.result == 'success' && needs.create-manifest-core.result == 'success' && needs.create-manifest-assemble.result == 'success' && needs.create-manifest-classify.result == 'success' && needs.create-manifest-phylo.result == 'success' && needs.create-manifest-mega.result == 'success' && github.event_name != 'pull_request' runs-on: ubuntu-latest permissions: contents: read packages: read strategy: fail-fast: false matrix: include: - flavor: baseimage - flavor: core - flavor: assemble - flavor: classify - flavor: phylo - flavor: mega steps: - name: Install crane uses: imjasonh/setup-crane@v0.4 - name: Log in to GitHub Container Registry uses: docker/login-action@v3 with: registry: ghcr.io username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - name: Log in to Quay.io uses: docker/login-action@v3 with: registry: quay.io username: ${{ secrets.QUAY_USERNAME }} password: ${{ secrets.QUAY_TOKEN }} - name: Determine tags to copy id: tags run: | FLAVOR="${{ matrix.flavor }}" # Determine the suffix (mega has no suffix) if [[ "$FLAVOR" == "mega" ]]; then SUFFIX="" else SUFFIX="-${FLAVOR}" fi # Use image-tag-prefix which handles both branches and version tags # (strips 'v' prefix from version tags, sanitizes '/' in branch names) TAG_PREFIX="${{ needs.get-version.outputs.image-tag-prefix }}" echo "src_tag=${TAG_PREFIX}${SUFFIX}" >> $GITHUB_OUTPUT echo "dest_tags=${TAG_PREFIX}${SUFFIX}" >> $GITHUB_OUTPUT # For version tags, also create major.minor tag if [[ "${{ github.ref_type }}" == "tag" ]]; then MAJOR_MINOR=$(echo "$TAG_PREFIX" | sed -E 's/^([0-9]+\.[0-9]+).*/\1/') echo "extra_dest_tag=${MAJOR_MINOR}${SUFFIX}" >> $GITHUB_OUTPUT else echo "extra_dest_tag=" >> $GITHUB_OUTPUT fi # For main branch, also create the "latest" style tag if [[ "${{ github.ref }}" == "refs/heads/main" ]]; then if [[ "$FLAVOR" == "mega" ]]; then echo "latest_tag=latest" >> $GITHUB_OUTPUT else echo "latest_tag=${FLAVOR}" >> $GITHUB_OUTPUT fi else echo "latest_tag=" >> $GITHUB_OUTPUT fi - name: Copy image to Quay.io run: | SRC="${{ env.GHCR_REPO }}:${{ steps.tags.outputs.src_tag }}" DEST="${{ env.QUAY_REPO }}:${{ steps.tags.outputs.dest_tags }}" echo "Copying $SRC -> $DEST" crane copy "$SRC" "$DEST" # Copy extra version tag if present (e.g., v1.25 for v1.25.0) if [[ -n "${{ steps.tags.outputs.extra_dest_tag }}" ]]; then EXTRA_DEST="${{ env.QUAY_REPO }}:${{ steps.tags.outputs.extra_dest_tag }}" echo "Copying $SRC -> $EXTRA_DEST" crane copy "$SRC" "$EXTRA_DEST" fi # Copy "latest" style tag for main branch if [[ -n "${{ steps.tags.outputs.latest_tag }}" ]]; then LATEST_DEST="${{ env.QUAY_REPO }}:${{ steps.tags.outputs.latest_tag }}" echo "Copying $SRC -> $LATEST_DEST" crane copy "$SRC" "$LATEST_DEST" fi ================================================ FILE: .github/workflows/docs.yml ================================================ name: Documentation on: push: branches: - main - '**' paths: - 'docs/**' - 'src/viral_ngs/**' - '.readthedocs.yml' - '.github/workflows/docs.yml' pull_request: branches: - main paths: - 'docs/**' - 'src/viral_ngs/**' - '.readthedocs.yml' - '.github/workflows/docs.yml' jobs: build-docs: runs-on: ubuntu-latest permissions: contents: read steps: - name: Checkout repository uses: actions/checkout@v4 with: fetch-depth: 0 # Full history for git describe version - name: Set up Python uses: actions/setup-python@v5 with: python-version: '3.10' - name: Install dependencies run: | pip install -r docs/requirements.txt pip install -e . - name: Build documentation run: | cd docs sphinx-build -W -b html . _build/html - name: Upload documentation artifact uses: actions/upload-artifact@v4 with: name: documentation path: docs/_build/html/ retention-days: 7 ================================================ FILE: .gitignore ================================================ VERSION test/output/ # Sphinx documentation docs/_build/ # Mac OSX .DS_Store # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] # C extensions *.so # WIP/dev temporary backup copies *.bak *.bak[0-9] # Distribution / packaging .Python env/ build/ develop-eggs/ dist/ downloads/ eggs/ lib/ lib64/ parts/ sdist/ var/ *.egg-info/ .installed.cfg *.egg # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Pyenv local .python-version # Unit test / coverage reports htmlcov/ .tox/ .coverage .coverage* .cache .noseids nosetests.xml pytest.xml coverage.xml coverage/ test/input/TestVPhaser2/in.bam.bti easy-deploy/data/Snakefile easy-deploy-virtualized/data/Snakefile easy-deploy-virtualized/data/config.json easy-deploy-virtualized/data/config.yaml easy-deploy-virtualized/data/viral-ngs/ **/.vagrant/ tools/build/ tools/conda-cache/ tools/conda-tools/ *.snakemake/ .pytest_cache/ .vscode/ vulnerability-mitigation-status.md ================================================ FILE: .readthedocs.yml ================================================ # .readthedocs.yml # Read the Docs configuration file # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details # Required version: 2 # Set the version of Python build: os: ubuntu-22.04 tools: python: "3.10" # Build documentation in the docs/ directory with Sphinx sphinx: builder: html configuration: docs/conf.py # Build documentation with MkDocs #mkdocs: # configuration: mkdocs.yml # Optionally build your docs in additional formats such as PDF and ePub formats: all # Optionally set the version of Python and requirements required to build your docs python: install: - requirements: docs/requirements.txt - method: pip path: . extra_requirements: [] ================================================ FILE: .trivy-ignore-policy.rego ================================================ # # bioinformatics-platform.rego # # Conservative Trivy ignore policy for bioinformatics container images # running on genomics PaaS platforms as batch pipeline tasks. # # ASSUMPTIONS (document and verify these match your platform): # 1. Containers run as non-interactive batch jobs (no shell sessions, # no web UIs, no Jupyter notebooks served from pipeline containers) # 2. Containers have no inbound network listeners (no ports exposed) # 3. Containers run with dropped capabilities (no CAP_SYS_ADMIN, etc.) # 4. Containers do not run in privileged mode # 5. Pipeline inputs are data files (FASTQ, BAM, VCF, reference genomes) # which may be untrusted or malformed # # If any assumption does not hold for a given image or use case, # DO NOT apply this policy to that image. # # USAGE: # trivy image --ignore-policy bioinformatics-platform.rego \ # --severity CRITICAL,HIGH --ignore-unfixed # # IMPORTANT: Before using this policy, run your image with: # trivy image --format json > scan.json # and inspect the CVSS field structure. The field paths below # (input.CVSS, input.CweIDs, etc.) reflect the Trivy JSON output # structure. If your Trivy version uses different paths, adjust # accordingly. The CVSS vector string location has changed across # Trivy versions (see https://github.com/aquasecurity/trivy/issues/1627). # # CVSS VERSION SUPPORT: # This policy supports both CVSS v3.1 and CVSS v4.0 vector strings. # Trivy is transitioning to v4.0 for newer advisories. Some CVEs may # have only a v4.0 vector (no v3.1). The helper functions at the bottom # extract vectors from both versions and the rules are written to match # either format. # # VERSION: 2.0 # LAST REVIEWED: 2026-03-20 # REVIEW CADENCE: Quarterly, or when platform architecture changes # package trivy default ignore = false ############################################################################### # SECTION 1: PHYSICAL ACCESS REQUIRED (AV:P) # # Rationale: Cloud-hosted containers are never physically accessible. # These CVEs require hands-on hardware interaction (USB, Firewire, # JTAG, etc.) which is impossible in any cloud PaaS context. # # CVSS v3.1: AV:P # CVSS v4.0: AV:P (same field name) # # Risk of false negative: Essentially zero. There is no scenario # in which a pipeline container is physically accessible to an attacker. # Confidence: Very High ############################################################################### ignore { has_v3_field(input, "AV:P") } ignore { has_v4_field(input, "AV:P") } ############################################################################### # SECTION 2: ADJACENT NETWORK REQUIRED (AV:A) # # Rationale: Adjacent-network attacks require the attacker to be on # the same physical or logical network segment (e.g., same VLAN, # Bluetooth, local WiFi). In a cloud PaaS, pipeline containers run # on orchestrated infrastructure where the attacker cannot place # themselves on an adjacent segment. # # CVSS v3.1: AV:A # CVSS v4.0: AV:A (same field name) # # Risk of false negative: Very low. Cloud networking abstractions # make adjacent-network attacks impractical against pipeline containers. # Confidence: Very High ############################################################################### ignore { has_v3_field(input, "AV:A") } ignore { has_v4_field(input, "AV:A") } ############################################################################### # SECTION 3: USER INTERACTION REQUIRED (UI:R) + LOCAL VECTOR (AV:L) # # Rationale: Batch pipeline containers have no interactive user sessions. # No human is clicking links, opening files in a GUI, or interacting # with the container during execution. CVEs that require BOTH local # access AND user interaction (e.g., tricking a user into opening a # malicious file in a desktop app) are not exploitable in this context. # # NOTE: We require BOTH conditions (AV:L AND UI:R), not either alone. # - AV:L alone is NOT safe to ignore (local privilege escalation # could be triggered by pipeline code) # - UI:R alone is NOT safe to ignore for AV:N vulns (some network # vulns with UI:R involve clicking a link, which doesn't apply, # but others are ambiguous) # - AV:L + UI:R together means "must have local access AND a human # must do something" - genuinely inapplicable in batch containers. # # CVSS v3.1: AV:L + UI:R # CVSS v4.0: AV:L + UI:P (Passive) or UI:A (Active) # v4.0 splits "Required" into Passive (viewing content) and Active # (clicking/interacting). Both require a human, so both are safe to # ignore in batch containers. # # Risk of false negative: Very low for true batch pipeline containers. # Confidence: High ############################################################################### # v3: AV:L + UI:R ignore { has_v3_field(input, "AV:L") has_v3_field(input, "UI:R") } # v4: AV:L + UI:P (Passive user interaction) ignore { has_v4_field(input, "AV:L") has_v4_field(input, "UI:P") } # v4: AV:L + UI:A (Active user interaction) ignore { has_v4_field(input, "AV:L") has_v4_field(input, "UI:A") } ############################################################################### # SECTION 4: HIGH PRIVILEGES REQUIRED + LOCAL VECTOR # # Rationale: CVEs requiring both local access and high (administrative) # privileges assume the attacker already has elevated access to the # system. In a properly configured container (non-root user, dropped # capabilities), the process inside the container does not have high # privileges to begin with. Combined with the local access requirement, # this class of CVE is not practically exploitable. # # NOTE: We only ignore AV:L + PR:H, not AV:N + PR:H. A network- # accessible vulnerability requiring high privileges may still be # relevant if the service runs as a privileged user. # # CVSS v3.1: AV:L + PR:H # CVSS v4.0: AV:L + PR:H (same field names) # # Risk of false negative: Low, assuming containers run as non-root. # If your containers run as root, REMOVE THIS RULE. # Confidence: High (conditional on non-root execution) ############################################################################### ignore { has_v3_field(input, "AV:L") has_v3_field(input, "PR:H") } ignore { has_v4_field(input, "AV:L") has_v4_field(input, "PR:H") } ############################################################################### # SECTION 5: LOCAL ATTACK, SCOPE UNCHANGED (AV:L + S:U) # # Rationale: AV:L means the attacker already has local code execution # inside the container. S:U (Scope Unchanged) means the impact does not # cross a security boundary — it stays within the container. # # In an ephemeral batch container, this combination means: the attacker # can already execute arbitrary code, and the vulnerability only lets # them affect things inside a container that will be destroyed when the # job completes. The vulnerability grants no capability the attacker # does not already have. # # Contrast with S:C (Scope Changed): a local vulnerability that crosses # the container-host boundary (e.g., container escape via kernel exploit) # IS dangerous and is NOT ignored by this rule. # # CVSS v3.1: AV:L + S:U # CVSS v4.0: AV:L + SC:N + SI:N + SA:N # v4.0 replaced the binary S:U/S:C with three subsequent-component # impact fields. SC:N + SI:N + SA:N means no impact on any component # beyond the vulnerable one — equivalent to v3's S:U. # # Risk of false negative: Low. The theoretical concern is that AV:L+S:U # could include reading mounted secrets, but an attacker with code # execution can already read those secrets directly. # Confidence: High ############################################################################### # v3: AV:L + S:U ignore { has_v3_field(input, "AV:L") has_v3_field(input, "S:U") } # v4: AV:L + no subsequent-component impact ignore { has_v4_field(input, "AV:L") has_v4_field(input, "SC:N") has_v4_field(input, "SI:N") has_v4_field(input, "SA:N") } ############################################################################### # SECTION 6: AVAILABILITY-ONLY IMPACT, SCOPE UNCHANGED # # Rationale: CVEs where the only impact is availability (DoS/resource # exhaustion) and scope is unchanged mean: processing crafted input can # crash or hang the affected process, but cannot read data (C:N), # modify data (I:N), or affect other components (S:U). # # In ephemeral batch containers, a DoS means a single pipeline job # fails or hangs until it hits its timeout or memory limit. This is # operationally equivalent to a corrupted input file or OOM — the job # fails, the container is destroyed, and the next job runs on a fresh # container. There is no persistent state corruption, no data # exfiltration, and no lateral movement. # # This rule applies regardless of attack vector (including AV:N), # because the impact is strictly contained: even if triggered by # network-delivered data, the worst outcome is one failed job. # # NOTE: This does NOT ignore: # - DoS with S:C / SC≠N / SI≠N / SA≠N (scope changed — could # affect host or other containers) # - DoS combined with any confidentiality or integrity impact # (C≠N or I≠N), which could indicate data leaks or corruption # alongside the crash # # CVSS v3.1: C:N + I:N + S:U (with any A value) # CVSS v4.0: VC:N + VI:N + SC:N + SI:N + SA:N (with any VA value) # # Risk of false negative: Low. The concern would be if a DoS could be # weaponized into a resource exhaustion attack against the compute # platform (e.g., repeatedly submitting jobs with crafted inputs to # burn credits). This is a business logic concern mitigated by job # submission controls and cost alerts, not by container hardening. # Confidence: High ############################################################################### # v3: C:N + I:N + S:U (availability-only, scope unchanged) ignore { has_v3_field(input, "C:N") has_v3_field(input, "I:N") has_v3_field(input, "S:U") } # v4: VC:N + VI:N + no subsequent-component impact (availability-only) ignore { has_v4_field(input, "VC:N") has_v4_field(input, "VI:N") has_v4_field(input, "SC:N") has_v4_field(input, "SI:N") has_v4_field(input, "SA:N") } ############################################################################### # HELPER FUNCTIONS: Extract and match CVSS vector strings # # Trivy's JSON structure nests CVSS data under input.CVSS with vendor # keys. The vector string location varies by data source. We check # multiple common paths and prefer NVD. # # CVSS v3.1 vectors look like: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H # CVSS v4.0 vectors look like: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N # # Fields are slash-delimited key:value pairs. The has_vX_field helpers # check for a field anywhere in the vector, handling both mid-string # (/field/) and end-of-string (/field) positions. # # IMPORTANT: Run `trivy image --format json ` and inspect # the .Vulnerabilities[].CVSS structure to confirm these paths work # for your Trivy version. If the structure differs, update these # functions accordingly. ############################################################################### # --- CVSS v3.1 vector extraction --- get_v3_vector(vuln) = vector { vector := vuln.CVSS.nvd.V3Vector } else = vector { vector := vuln.CVSS.redhat.V3Vector } else = vector { vector := vuln.CVSS.ghsa.V3Vector } else = vector { some vendor vector := vuln.CVSS[vendor].V3Vector } else = "" { true } # --- CVSS v4.0 vector extraction --- get_v4_vector(vuln) = vector { vector := vuln.CVSS.nvd.V40Vector } else = vector { vector := vuln.CVSS.redhat.V40Vector } else = vector { vector := vuln.CVSS.ghsa.V40Vector } else = vector { some vendor vector := vuln.CVSS[vendor].V40Vector } else = "" { true } # --- Field matching helpers --- # Check if a CVSS vector contains a specific field value. # Handles both mid-string (/AV:N/) and end-of-string (/AV:N) positions. has_v3_field(vuln, field) { cvss_vector := get_v3_vector(vuln) cvss_vector != "" contains(cvss_vector, concat("", ["/", field, "/"])) } has_v3_field(vuln, field) { cvss_vector := get_v3_vector(vuln) cvss_vector != "" endswith(cvss_vector, concat("", ["/", field])) } has_v4_field(vuln, field) { cvss_vector := get_v4_vector(vuln) cvss_vector != "" contains(cvss_vector, concat("", ["/", field, "/"])) } has_v4_field(vuln, field) { cvss_vector := get_v4_vector(vuln) cvss_vector != "" endswith(cvss_vector, concat("", ["/", field])) } ############################################################################### # RULES INTENTIONALLY NOT INCLUDED (and why): # # 1. AV:N (Network attack vector) — NOT blanket-ignored. # Even though batch pipeline containers typically have no inbound # listeners, some AV:N CVEs involve outbound connections triggered # by processing attacker-influenced data (e.g., Log4Shell). We # cannot safely blanket-ignore network-vector CVEs. However, # Section 6 does ignore AV:N CVEs that are availability-only with # no scope change, since the worst outcome is a crashed job. # # 2. UI:R alone (without AV:L) — NOT ignored. # Some AV:N + UI:R vulnerabilities involve scenarios like processing # a crafted file that triggers a callback, which could be borderline # relevant if pipeline inputs are not fully trusted. # # 3. CWE-based filters — NOT included by default. # Filtering by CWE class (e.g., ignoring all CWE-79 XSS in a # non-web context) is tempting but risky as a default policy. # CWE classifications can be inaccurate, and a single misclassified # CVE could slip through. If your platform has specific architectural # mitigations (e.g., provably no web server in any image), you may # add CWE rules, but this should be a deliberate per-platform choice. # # 4. Specific CVE IDs — NOT included. # Use a .trivyignore.yaml or VEX document for individual CVE # exceptions with per-CVE justifications. The Rego policy should # capture architectural/class-level mitigations, not one-off # exceptions. # # 5. AV:L + S:C — NOT ignored. # Local vulnerabilities with Scope Changed (S:C) can cross security # boundaries (e.g., container escape via kernel exploit). These are # dangerous even in ephemeral containers. Only AV:L + S:U (Scope # Unchanged) is ignored — see Section 5 above. # # 6. Inbound-listener-only server CVEs — NOT categorically ignored. # Many AV:N CVEs in fat JARs (Jetty, ZooKeeper, Netty server-side) # require an active network listener that we never start. However, # CVSS does not distinguish inbound-listener vs. data-processing # attack surfaces within AV:N. Adding package-name-based exceptions # here would be fragile and is better handled in .trivyignore with # per-CVE justification documenting that the server component is # never instantiated. ############################################################################### ================================================ FILE: .trivyignore ================================================ # Trivy ignore file — per-CVE exceptions with justifications # # This file documents individual CVE exceptions that cannot be addressed by # version bumps or by the Rego policy (.trivy-ignore-policy.rego). Each entry # MUST include a justification explaining why the CVE is accepted. # # Format: CVE-YYYY-NNNNN (one per line, # for comments) # See: https://aquasecurity.github.io/trivy/latest/docs/configuration/filtering/#by-finding-ids # # Review cadence: Re-evaluate all entries quarterly or when the affected # package is upgraded. Remove entries once the underlying package ships a fix. # # ============================================================================= # ----------------------------------------------------------------------------- # CVE-2026-23949 — jaraco.context path traversal in tarball extraction # Severity: HIGH (NVD scored AV:N/S:C — see scoring dispute below) # Package: setuptools (vendored at setuptools/_vendor/jaraco/context.py) # Installed: setuptools 79.x (vendored jaraco.context 5.3.0) # Fix: jaraco.context >= 6.1.0 (installed in conda env, but setuptools # vendors its own copy which we cannot delete — setuptools imports # jaraco.text and jaraco.context at runtime for pkg_resources) # # JUSTIFICATION: # 1. The vulnerability is in archive extraction (tarball() context manager). # setuptools uses this only during "pip install" of source distributions. # Our containers run pip install at BUILD TIME only, from trusted sources # (PyPI, conda-forge). No pip installs happen at runtime. # # 2. Even if an attacker could trigger pip install at runtime (which would # require code execution inside the container), the path traversal only # writes files WITHIN the container. The attacker already has code # execution — they can write files anywhere in the container without # needing this vulnerability. It grants no new capability. # # 3. Containers are ephemeral batch jobs. Any files written (malicious or # otherwise) are destroyed when the job completes. There is no # persistence, no lateral movement, and no host boundary crossing. # # 4. NVD SCORING DISPUTE: NVD scored this AV:N/AC:L/PR:N/UI:N/S:C/C:H, # which assumes a network-facing service extracting untrusted archives # where the traversal crosses a trust boundary. In our deployment model, # there is no network-facing service, the archives come from trusted # sources, and the "boundary" is a container that will be destroyed. # The Rego policy cannot filter this because NVD mis-scored the attack # vector as Network (AV:N) rather than Local (AV:L). # # RESOLUTION: Will self-resolve when setuptools releases a version with # updated vendored dependencies (jaraco.context >= 6.1.0). # ADDED: 2026-03-19 # ----------------------------------------------------------------------------- CVE-2026-23949 # ----------------------------------------------------------------------------- # CVE-2020-25649 — jackson-databind XXE in DOMDeserializer # Severity: HIGH (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N) # Package: com.fasterxml.jackson.core:jackson-databind 2.10.5 # Location: opt/conda/share/snpeff-5.2-3/snpEff.jar # # JUSTIFICATION: # The vulnerable code path is DOMDeserializer, which is invoked when # jackson-databind deserializes XML input into DOM objects without # disabling external entity resolution. This enables XXE attacks # (SSRF, local file read) when processing attacker-controlled XML. # # snpEff uses jackson-databind for JSON parsing only (config metadata, # database indices). snpEff's input formats are VCF (tab-delimited), # GenBank (flat text), and Java properties files. It never parses XML # through Jackson's DOMDeserializer. The vulnerable code is present in # the fat JAR but the code path is never traversed. # # This exclusion applies only to snpEff's bundled copy. If jackson- # databind 2.10.5 appears in other JARs, this entry will NOT suppress # those findings — Trivy matches .trivyignore by CVE ID globally, but # we accept this because no other JAR in our images bundles this old # version. If that changes, re-evaluate this entry. # # RESOLUTION: Upstream snpEff must update its bundled jackson-databind. # ADDED: 2026-03-20 # ----------------------------------------------------------------------------- CVE-2020-25649 ================================================ FILE: AGENTS.md ================================================ # AGENTS.md This document provides guidance for AI assistants (Claude Code, GitHub Copilot, etc.) working on this repository. ## Overview viral-ngs is a consolidated monorepo for viral NGS (Next-Generation Sequencing) analysis tools. It provides: - **Core utilities**: Read manipulation, Illumina demultiplexing, file handling, QC - **Assembly**: Genome assembly, scaffolding, gap filling - **Classification**: Metagenomic classification, taxonomy filtering, k-mer analysis - **Phylogenetics**: Variant calling, consensus generation, annotation **Related resources:** - Command-line documentation: https://viral-ngs.readthedocs.org/ - Higher-level pipelines: https://github.com/broadinstitute/viral-pipelines --- ## Development Environment ### Docker-Centric Development Development is **intentionally docker-centric**. Developers need: - Docker - Git - Text/code editor ### Development Workflow 1. Clone the repository: ```bash git clone https://github.com/broadinstitute/viral-ngs.git ``` 2. Run the container with local checkout mounted: ```bash docker run -it --rm \ -v $(pwd):/opt/viral-ngs/source \ quay.io/broadinstitute/viral-ngs:main-core ``` 3. If modifying conda dependencies, install them inside the container: ```bash micromamba install ``` 4. Test code interactively: ```bash cd /opt/viral-ngs/source pytest -rsxX -n auto tests/unit ``` 5. Push changes to GitHub for automated CI testing ### Running Tests ```bash # Run all unit tests in the core image docker run --rm \ -v $(pwd):/opt/viral-ngs/source \ quay.io/broadinstitute/viral-ngs:main-core \ pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit # Run specific module tests docker run --rm \ -v $(pwd):/opt/viral-ngs/source \ quay.io/broadinstitute/viral-ngs:main-classify \ pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit/classify ``` **Important: Testing source code changes requires re-installing the package.** The `-v` mount makes your local files visible on disk, but `viral_ngs` is already installed as a package inside the container image. Python imports resolve to the *installed* copy, not your mounted source files. If you've modified files under `src/viral_ngs/`, you must re-install before running tests: ```bash # Run tests with local source changes applied docker run --rm \ -v $(pwd):/opt/viral-ngs/source \ quay.io/broadinstitute/viral-ngs:main-core \ bash -c "pip install -e /opt/viral-ngs/source --quiet && pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit" ``` Changes to test files (`tests/`) and test inputs (`tests/input/`) are picked up automatically via the volume mount — the re-install is only needed when modifying the `src/viral_ngs/` package code. Running pytest directly on the host will generally not work — most dependencies (bioinformatics tools, conda packages) are only available inside the Docker containers. Always test inside Docker. **Test conventions:** - Uses pytest (not nose or unittest) - Test files in `tests/unit//` - Test input files in `tests/input//` - Access via `viral_ngs.core.file.get_test_input_path(self)` - Custom marker: `@pytest.mark.slow` for slow tests --- ## Code Architecture ### Directory Structure ``` viral-ngs/ ├── pyproject.toml # Package configuration ├── src/viral_ngs/ │ ├── __init__.py # Version detection │ ├── py.typed # PEP 561 marker │ │ │ ├── # Command modules (CLI entry points) │ ├── illumina.py # Illumina demux commands │ ├── read_utils.py # Read manipulation commands │ ├── assembly.py # Assembly commands │ ├── metagenomics.py # Classification commands │ ├── interhost.py # Phylo commands │ │ │ ├── core/ # Core library (shared utilities + tool wrappers) │ │ ├── __init__.py # Tool/InstallMethod classes │ │ ├── samtools.py # Tool wrapper │ │ ├── picard.py # Tool wrapper │ │ ├── file.py # File utilities │ │ ├── misc.py # General utilities │ │ └── ... │ │ │ ├── assemble/ # Assembly tool wrappers │ │ ├── __init__.py │ │ ├── spades.py │ │ └── ... │ │ │ ├── classify/ # Classification tool wrappers │ │ ├── __init__.py │ │ ├── kraken2.py │ │ └── ... │ │ │ └── phylo/ # Phylogenetics tool wrappers │ ├── __init__.py │ ├── mafft.py │ └── ... │ ├── docker/ │ ├── Dockerfile.baseimage # Base with conda/python │ ├── Dockerfile.core # Core tools │ ├── Dockerfile.assemble # + assembly tools │ ├── Dockerfile.classify # + classification tools │ ├── Dockerfile.phylo # + phylo tools │ ├── Dockerfile.mega # All tools combined │ ├── install-conda-deps.sh │ └── requirements/ │ ├── baseimage.txt │ ├── core.txt │ ├── core-x86.txt # x86-only core packages │ ├── assemble.txt │ ├── assemble-x86.txt # x86-only assembly packages │ ├── classify.txt │ ├── classify-x86.txt # x86-only classify packages │ ├── phylo.txt │ └── phylo-x86.txt # x86-only phylo packages │ ├── tests/ │ ├── conftest.py │ ├── unit/ │ │ ├── core/ │ │ ├── assemble/ │ │ ├── classify/ │ │ └── phylo/ │ └── input/ │ ├── scripts/ # Utility scripts ├── .github/workflows/ │ └── docker.yml # CI/CD workflow └── docs/ ``` ### Command Module Pattern Command modules define CLI entry points: ```python __commands__ = [] def parser_(parser=argparse.ArgumentParser()): # Define arguments return parser def main_(args): # Implementation pass __commands__.append(('command_name', parser_command_name)) ``` ### Tool Wrapper Pattern Tool wrappers in `core/`, `assemble/`, `classify/`, `phylo/`: ```python import viral_ngs.core as core class SamtoolsTool(core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [core.PrexistingUnixCommand('samtools')] super().__init__(install_methods=install_methods) def execute(self, command, *args): # Run samtools with arguments pass ``` --- ## Import Patterns ### Standard imports ```python # Within command modules (illumina.py, assembly.py, etc.) import viral_ngs.core as core import viral_ngs.core.file as util_file import viral_ngs.core.misc as util_misc # Using tools samtools = core.samtools.SamtoolsTool() bwa = core.bwa.BwaTool() # Using utilities util_file.mkstempfname() util_misc.available_cpu_count() ``` ### Within core/ modules (use relative imports) ```python from . import samtools, picard from .file import mkstempfname from .misc import available_cpu_count ``` ### Within subpackages (assemble/, classify/, phylo/) ```python import viral_ngs.core as core import viral_ngs.core.file as util_file # For other tools in same subpackage from . import mummer, mafft ``` ### Key rules 1. **Prefer full imports**: `import viral_ngs.core.samtools` over `from viral_ngs.core import samtools` 2. **Use relative imports within packages**: `from . import X` inside core/, assemble/, etc. 3. **No backward compat stubs**: `viral_ngs.tools` and `viral_ngs.util` don't exist --- ## Dependencies ### Conda-First Approach ALL runtime dependencies are installed via conda for speed and binary compatibility. The `pyproject.toml` has empty dependencies - conda handles everything. ### Adding Dependencies 1. Check conda availability: ```bash micromamba search # default channel micromamba search -c bioconda # bioconda channel ``` 2. Add to appropriate requirements file: - `docker/requirements/core.txt` - core dependencies - `docker/requirements/assemble.txt` - assembly-specific - `docker/requirements/classify.txt` - classification-specific - `docker/requirements/phylo.txt` - phylo-specific 3. For x86-only packages (no ARM64 build), add to the appropriate `-x86.txt` file: - `core-x86.txt` - novoalign, mvicuna - `classify-x86.txt` - bmtagger, kallisto, kb-python - `phylo-x86.txt` - table2asn ### Dependency Resolution When building derivative images, ALL dependencies (including x86-only) must be installed in a **single resolver call** using the `--x86-only:` prefix: ```bash # Single resolver call - x86-only files skipped on ARM64 /tmp/install-conda-deps.sh \ /tmp/requirements/baseimage.txt \ /tmp/requirements/core.txt \ /tmp/requirements/classify.txt \ --x86-only:/tmp/requirements/classify-x86.txt ``` This prevents version regressions. **Never install incrementally.** The `install-conda-deps.sh` script: - On x86: Includes all files in one micromamba call - On ARM64: Skips files tagged with `--x86-only:` but includes others --- ## Docker Images ### Image Hierarchy ``` baseimage (conda/python) └── core (core tools) ├── assemble (+ assembly tools) ├── classify (+ classification tools) ├── phylo (+ phylo tools) └── mega (all tools) ``` ### Tag Format ``` quay.io/broadinstitute/viral-ngs:2.6.0-core quay.io/broadinstitute/viral-ngs:2.6.0-classify quay.io/broadinstitute/viral-ngs:2.6.0 # mega (no suffix) quay.io/broadinstitute/viral-ngs:main-core # main branch quay.io/broadinstitute/viral-ngs:latest # alias for main mega ``` ### Building Locally ```bash # Build baseimage docker build -t viral-ngs:baseimage -f docker/Dockerfile.baseimage . # Build core (needs baseimage) docker build --build-arg BASEIMAGE=viral-ngs:baseimage \ -t viral-ngs:core -f docker/Dockerfile.core . # Build derivatives (need core) docker build --build-arg BASEIMAGE=viral-ngs:core \ -t viral-ngs:classify -f docker/Dockerfile.classify . ``` --- ## CI/CD ### GitHub Actions Workflow The `.github/workflows/docker.yml` workflow handles building and testing: **Build Architecture:** Each image flavor is built using 3 parallel jobs for native multi-arch support: 1. `build-{flavor}-amd64` - runs on `ubuntu-latest` 2. `build-{flavor}-arm64` - runs on `ubuntu-24.04-arm` (native ARM runner) 3. `create-manifest-{flavor}` - combines arch-specific images into multi-arch manifest This approach is 3-5x faster than QEMU emulation for ARM builds. **Build Job Flow:** ``` paths-filter + get-version (parallel) ↓ build-baseimage-amd64 ←→ build-baseimage-arm64 (parallel) ↓ ↓ create-manifest-baseimage ↓ build-core-amd64 ←→ build-core-arm64 (parallel) ↓ ↓ create-manifest-core ↓ build-{assemble,classify,phylo,mega}-amd64 ←→ build-{...}-arm64 (parallel) ↓ create-manifest-{flavor} ↓ test-{flavor} + test-{flavor}-arm64 (ARM64 tests only on PRs with docker changes) ↓ deploy-to-quay (push/tag events only) ``` **Test Jobs:** - **test-core**: Runs on x86, tests `tests/unit/core/` - **test-assemble**: Runs on x86, tests `tests/unit/assemble/` - **test-classify**: Runs on x86, tests `tests/unit/classify/` - **test-phylo**: Runs on x86, tests `tests/unit/phylo/` - **test-{flavor}-arm64**: Runs on native ARM, only on PRs when docker files change **Smart Test Scoping:** Tests only run when relevant code changes: - Core tests: `src/viral_ngs/*.py`, `core/**`, `util/**`, `tests/unit/core/**` - Assemble tests: `assemble/**`, `assembly.py`, or core changes - Classify tests: `classify/**`, `metagenomics.py`, `taxon_filter.py`, or core changes - Phylo tests: `phylo/**`, `interhost.py`, `intrahost.py`, `ncbi.py`, or core changes - Docker changes trigger all tests (including ARM64 tests on PRs) **Coverage:** Each x86 test job uploads coverage to Codecov with flavor-specific flags. ### Multi-Architecture Support - Images built natively for `linux/amd64` and `linux/arm64` using parallel runners - Multi-arch manifests created with OCI annotations using `docker buildx imagetools create` - x86-only packages (novoalign, mvicuna, bmtagger, kallisto, kb-python, table2asn) handled via `--x86-only:` prefix in `install-conda-deps.sh` - Python tool wrappers still importable on ARM64; only runtime execution fails for missing binaries - Tests using x86-only tools have `@unittest.skipIf(IS_ARM, ...)` decorators - Architecture-specific caches prevent cross-arch cache pollution ### ARM Test Skipping Tests that use x86-only bioconda packages must be decorated to skip on ARM: ```python from tests import IS_ARM SKIP_X86_ONLY_REASON = "tool requires x86-only bioconda package (not available on ARM)" @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) class TestSomeTool(TestCaseWithTmp): ... # Or at method level: @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_specific_tool(self): ... ``` ### Documentation Build The `docs.yml` workflow builds Sphinx documentation. Key points: - Uses `mock` to stub heavy dependencies (`Bio`, `pysam`, `scipy`, etc.) in `docs/conf.py` - When adding new imports to source code, add corresponding mocks to `MOCK_MODULES` in `docs/conf.py` - Runs `sphinx-build -W` (warnings as errors) ### Registry Strategy - **GHCR (ghcr.io)**: Primary build registry, images pushed during CI for all events including PRs - **Quay.io**: Production registry, images copied from GHCR after tests pass (push/tag events only) - Feature branch images should be cleaned up periodically from Quay.io --- ## Coding Guidelines ### Agent Attribution **Commit messages**: By default, do NOT include agent/model credits (e.g., "Co-Authored-By: Claude") in commit messages. This reduces noise in the git history. **Code review comments**: DO include notes about agent/model involvement when writing code review comments (e.g., PR reviews, inline comments). This provides useful context about how the review was conducted. **Explicit requests**: Include agent attribution in commits or elsewhere when explicitly requested by a human reviewer or contributor. **Avoid amending pushed commits**: Do not use `git commit --amend` after a commit has been pushed to the remote. Amending pushed commits causes problems for collaboration. Instead, create a new commit with the fix. Amending is fine for local commits that haven't been pushed yet. ### Test-Driven Development 1. Write tests first 2. Verify tests fail 3. Implement feature 4. Verify tests pass 5. Refactor if needed ### Avoid Over-Engineering - Only make changes directly requested - Don't add features beyond what was asked - Don't add comments/docstrings to unchanged code - Don't create abstractions for one-time operations ### Security - Never introduce command injection, XSS, SQL injection vulnerabilities - Validate at system boundaries (user input, external APIs) - Trust internal code and framework guarantees ### Code Style - Use explicit imports (prefer `import x.y.z` over `from x.y import z`) - Follow existing patterns in the codebase - Run tests before committing --- ## Common Operations ### Verify Python imports ```bash docker run --rm viral-ngs:core python -c " import viral_ngs.core import viral_ngs.core.samtools import viral_ngs.core.picard import viral_ngs.core.file import viral_ngs.core.misc print('Core imports OK') " ``` ### Run syntax check on all files ```bash find src tests -name "*.py" -exec python -m py_compile {} \; ``` ### Check ARM64 package availability ```bash micromamba search -c bioconda --subdir linux-aarch64 ``` --- ## Reusable Agent Skills Established workflows and playbooks live in `.agents/skills/`. Each skill directory contains a `SKILL.md` with the playbook and companion scripts. Check there before building analysis pipelines from scratch. Available skills: - **regression-testing** -- End-to-end assembly regression testing against Terra submissions - **dsub-batch-jobs** -- Running one-off compute jobs on GCP via dsub - **container-vulns** -- Container vulnerability scanning, triage, and mitigation - **claude-on-vertex-ci** -- Invoking Claude (via claude-code-action) on Vertex AI from GitHub Actions workflows. Covers the WIF infra in `viral-seq-ai`, how to add a new Claude-in-CI use case, the canonical workflow YAML pattern, and gotchas. --- ## Container Vulnerability Management See `.agents/skills/container-vulns/SKILL.md` for detailed guidance on vulnerability scanning, triaging CVEs, Rego policy, and ARM64 solver conflicts. --- ## Troubleshooting ### Circular Import Errors - Use relative imports within packages (`from . import X`) - Check import order in `__init__.py` files - Don't import parent package from child modules ### Missing Tool Errors - Verify tool is in the appropriate requirements file - Check if tool is x86-only (add to `core-x86.txt`) - Tool wrappers should fail gracefully at runtime, not import time ### Docker Build Failures - Check that BASEIMAGE arg points to existing image - Verify all requirements files exist - Check for conda resolution conflicts (install all deps together) ================================================ FILE: CLAUDE.md ================================================ # CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. **IMPORTANT**: Always read [AGENTS.md](AGENTS.md) at the start of every session before doing any work. It contains comprehensive project context and development guidelines that are essential for working in this codebase. ## Quick Reference - **Docker-centric development**: Run tests inside containers, not on host - **Import pattern**: `from viral_ngs import core` then `core.samtools.SamtoolsTool()` - **Test location**: `tests/unit//` - **Dependencies**: ALL via conda, not pip (see `docker/requirements/*.txt`) ## Running Tests ```bash docker run --rm \ -v $(pwd):/opt/viral-ngs/source \ quay.io/broadinstitute/viral-ngs:main-core \ pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit ``` ## Key Files | File | Purpose | |------|---------| | [AGENTS.md](AGENTS.md) | Full AI assistant guidance | | [pyproject.toml](pyproject.toml) | Package configuration | | [docker/](docker/) | Dockerfiles and requirements | | [src/viral_ngs/](src/viral_ngs/) | Source code | | [tests/](tests/) | Test files | | [.agents/skills/](.agents/skills/) | Reusable agent playbooks and scripts | ================================================ FILE: LICENSE ================================================ MIT License Copyright (c) 2014-2025 Broad Institute, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ================================================ FILE: README.md ================================================ # viral-ngs [![Build and Test](https://github.com/broadinstitute/viral-ngs/actions/workflows/docker.yml/badge.svg)](https://github.com/broadinstitute/viral-ngs/actions/workflows/docker.yml) [![codecov](https://codecov.io/gh/broadinstitute/viral-ngs/graph/badge.svg)](https://codecov.io/gh/broadinstitute/viral-ngs) [![Documentation Status](https://readthedocs.org/projects/viral-ngs/badge/?version=latest)](https://viral-ngs.readthedocs.io/en/latest/?badge=latest) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) Consolidated tools for viral NGS (Next-Generation Sequencing) data analysis. ## Overview viral-ngs provides a comprehensive suite of bioinformatics tools for viral genomics: - **Core utilities**: Read manipulation, Illumina demultiplexing, file handling, quality control - **Assembly**: Genome assembly, scaffolding, gap filling (SPAdes, MUMmer, MAFFT) - **Classification**: Metagenomic classification, taxonomy filtering (Kraken2, BLAST, BMTagger) - **Phylogenetics**: Variant calling, consensus generation, annotation (LoFreq, SnpEff, MUSCLE) ## Docker Images Pre-built Docker images are available on [Quay.io](https://quay.io/repository/broadinstitute/viral-ngs) and [GitHub Container Registry](https://github.com/broadinstitute/viral-ngs/pkgs/container/viral-ngs): | Image | Description | |-------|-------------| | `viral-ngs:latest` | All tools (mega image) | | `viral-ngs:core` | Core utilities only | | `viral-ngs:assemble` | Core + assembly tools | | `viral-ngs:classify` | Core + classification tools | | `viral-ngs:phylo` | Core + phylogenetics tools | ### Quick Start ```bash # Pull the latest image docker pull quay.io/broadinstitute/viral-ngs:latest # Run interactively docker run -it --rm quay.io/broadinstitute/viral-ngs:latest # Mount local data directory docker run -it --rm -v $(pwd)/data:/data quay.io/broadinstitute/viral-ngs:latest ``` ### Version Tags ```bash # Specific version docker pull quay.io/broadinstitute/viral-ngs:2.6.0-core # Main branch docker pull quay.io/broadinstitute/viral-ngs:main-classify # GitHub Container Registry (alternative) docker pull ghcr.io/broadinstitute/viral-ngs:latest ``` ## Installation ### Docker (Recommended) The recommended way to use viral-ngs is via Docker images, which include all bioinformatics tool dependencies pre-configured. ### Conda + pip (Development) For local development with bioinformatics tools: 1. **Clone the repository:** ```bash git clone https://github.com/broadinstitute/viral-ngs.git cd viral-ngs ``` 2. **Create and activate a conda environment:** ```bash conda create -n viral-ngs python=3.12 conda activate viral-ngs ``` Or using micromamba (faster): ```bash micromamba create -n viral-ngs python=3.12 micromamba activate viral-ngs ``` 3. **Install bioinformatics tools via conda:** ```bash # Core tools only conda install -c conda-forge -c bioconda \ --file docker/requirements/baseimage.txt \ --file docker/requirements/core.txt # Or for all tools (mega) conda install -c conda-forge -c bioconda \ --file docker/requirements/baseimage.txt \ --file docker/requirements/core.txt \ --file docker/requirements/assemble.txt \ --file docker/requirements/classify.txt \ --file docker/requirements/phylo.txt ``` 4. **Install the viral-ngs Python package:** ```bash pip install -e . ``` Note: Installing into an activated conda environment is safe - pip installs into the conda environment, not system Python. 5. **Verify installation:** ```bash read_utils --version python -c "from viral_ngs.core import samtools; print(samtools.SamtoolsTool().version())" ``` ### pip (Python package only) For use as a Python library without bioinformatics tools: ```bash pip install viral-ngs ``` Note: pip installation does not include external tools (samtools, bwa, etc.). Use Docker or Conda for the complete toolset. ## Documentation - **Command-line documentation**: https://viral-ngs.readthedocs.org/ - **Developer guide**: [AGENTS.md](AGENTS.md) - **Higher-level pipelines**: https://github.com/broadinstitute/viral-pipelines ## Development ### Running Tests ```bash docker run --rm \ -v $(pwd):/opt/viral-ngs/source \ quay.io/broadinstitute/viral-ngs:main-core \ pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit ``` ### Building Docker Images Locally ```bash # Build baseimage docker build -t viral-ngs:baseimage -f docker/Dockerfile.baseimage . # Build core (requires baseimage) docker build --build-arg BASEIMAGE=viral-ngs:baseimage \ -t viral-ngs:core -f docker/Dockerfile.core . # Build derivatives (require core) docker build --build-arg BASEIMAGE=viral-ngs:core \ -t viral-ngs:classify -f docker/Dockerfile.classify . ``` See [AGENTS.md](AGENTS.md) for comprehensive development documentation. ## Architecture ### Multi-Architecture Support Images are built for both `linux/amd64` and `linux/arm64` (Apple Silicon, ARM servers). Some tools (novoalign, mvicuna) are x86-only and will be skipped on ARM builds. ### Module Structure ``` src/viral_ngs/ ├── core/ # Core utilities and tool wrappers ├── assemble/ # Assembly tool wrappers ├── classify/ # Classification tool wrappers └── phylo/ # Phylogenetics tool wrappers ``` ## Related Projects - [viral-pipelines](https://github.com/broadinstitute/viral-pipelines) - WDL workflows using viral-ngs - [Terra](https://terra.bio/) - Cloud platform for running viral-pipelines ## License MIT License - see [LICENSE](LICENSE) ## Contributing Contributions are welcome! Please see [AGENTS.md](AGENTS.md) for development guidelines. ## Citation If you use viral-ngs in your research, please cite: > Broad Institute viral-ngs: Tools for viral NGS data analysis. > https://github.com/broadinstitute/viral-ngs ================================================ FILE: docker/Dockerfile.assemble ================================================ # viral-ngs assemble image # Builds on core, adds genome assembly tools # # This provides: # - All core bioinformatics tools (from core image) # - Assembly tools: SPAdes, MUMmer, MAFFT, Muscle, Gap2Seq, etc. # - ANI/clustering tools: skani, fastani, sourmash # # Usage: # docker build --build-arg BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core -t viral-ngs:assemble -f docker/Dockerfile.assemble . ARG BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core FROM ${BASEIMAGE} LABEL maintainer="viral-ngs@broadinstitute.org" LABEL org.opencontainers.image.source="https://github.com/broadinstitute/viral-ngs" # Enable conda environment activation for RUN commands ARG MAMBA_DOCKERFILE_ACTIVATE=1 # Workaround: add sequip lib directory to PERL5LIB # NOTE: sequip version here must match the version in requirements/assemble.txt ENV PERL5LIB=$PERL5LIB:/opt/conda/share/sequip-0.11/lib # Copy requirements and dependency installation script COPY docker/requirements/baseimage.txt docker/requirements/core.txt docker/requirements/assemble.txt docker/requirements/assemble-x86.txt /tmp/requirements/ COPY docker/install-conda-deps.sh /tmp/ # Install conda dependencies (assembly tools) # All files resolved together in single micromamba call; x86-only files skipped on ARM # Post-install fixups (inline so vulnerable files never appear in a committed layer): # - mafft's dash_client: Go 1.22.1 binary with Go stdlib CVEs; we never use --dash mode # - Ruby json gem: mummer4/sequip pull in Ruby (via yaggo), whose bundled json gem # has CVE-2026-33210; remove the old default gem and install patched version (>=2.19.2) # - Ruby erb gem: same chain (mummer4 → yaggo → ruby), CVE-2026-41316 (Marshal # deserialization bypass via ERB#def_module); remove default gem and install >=6.0.4 RUN /tmp/install-conda-deps.sh /tmp/requirements/baseimage.txt /tmp/requirements/core.txt /tmp/requirements/assemble.txt \ --x86-only:/tmp/requirements/assemble-x86.txt && \ rm -f /opt/conda/libexec/mafft/dash_client && \ find /opt/conda/lib/ruby -maxdepth 3 -name 'json*' -not -path '*/psych/*' -exec rm -rf {} + && \ rm -f /opt/conda/lib/ruby/gems/*/specifications/default/json-*.gemspec && \ gem install json --version '>=2.19.2' --no-document && \ find /opt/conda/lib/ruby -maxdepth 3 -name 'erb*' -exec rm -rf {} + && \ rm -f /opt/conda/lib/ruby/gems/*/specifications/default/erb-*.gemspec && \ gem install erb --version '>=6.0.4' --no-document # Copy source code (includes assembly module) COPY src/ /opt/viral-ngs/source/src/ COPY pyproject.toml README.md LICENSE /opt/viral-ngs/source/ # Install viral-ngs package # VERSION is passed from GitHub Actions via git describe WORKDIR /opt/viral-ngs/source ARG VERSION ENV SETUPTOOLS_SCM_PRETEND_VERSION=${VERSION} RUN pip install --no-cache-dir . && \ echo "${VERSION}" > /opt/viral-ngs/source/VERSION # Verify installation RUN python -c "from viral_ngs import read_utils, illumina; print('Core modules OK')" && \ python -c "from viral_ngs import assembly; print('Assembly module OK')" && \ python -c "from viral_ngs.assemble import spades, mummer, mafft, skani; print('Assembly tools OK')" # Clean up RUN rm -rf /tmp/requirements /tmp/install-conda-deps.sh CMD ["/bin/bash"] ================================================ FILE: docker/Dockerfile.baseimage ================================================ # viral-ngs baseimage # Base image with micromamba, Python, and general utilities for viral-ngs tools # # This provides a foundation with: # - micromamba (conda-compatible package manager) # - Python 3.12 # - General utilities (miniwdl, udocker, cloud CLIs, etc.) # # Derivative images (core, classify, assemble, phylo) build on this. FROM mambaorg/micromamba:2.5.0-ubuntu25.10 LABEL maintainer="viral-ngs@broadinstitute.org" LABEL org.opencontainers.image.source="https://github.com/broadinstitute/viral-ngs" # Enable conda environment activation for RUN commands ARG MAMBA_DOCKERFILE_ACTIVATE=1 USER root # Set locale ENV LANG="en_US.UTF-8" \ LANGUAGE="en_US:en" \ LC_ALL="en_US.UTF-8" \ TZ="UTC" # Install system packages RUN apt-get update && apt-get install -y --no-install-recommends \ ca-certificates \ curl \ git \ locales \ && apt-get upgrade -y gpgv \ && locale-gen en_US.UTF-8 \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* # Configure micromamba channels RUN micromamba config append channels bioconda && \ micromamba config append channels conda-forge && \ micromamba config set always_yes yes && \ micromamba config set changeps1 no # Install Python in base environment RUN micromamba install -y -n base python=3.12 pip && \ micromamba clean --all --yes # Set up paths - include /opt/conda/bin for conda environment binaries ENV VIRAL_NGS_PATH="/opt/viral-ngs/source" \ PYTHONPATH="/opt/viral-ngs/source" \ PATH="/opt/conda/bin:/usr/local/bin:$PATH" # Configure miniwdl to use udocker as container backend ENV MINIWDL__SCHEDULER__CONTAINER_BACKEND="udocker" # Copy requirements and install script COPY docker/requirements/baseimage.txt /tmp/requirements/ COPY docker/install-conda-deps.sh /tmp/ # Install baseimage dependencies (miniwdl, udocker, cloud CLIs, utilities) # Remove google-cloud-sdk's bundled Python — it contains vendored copies of # cryptography, pyOpenSSL, etc. that are older than what we install via conda. # Remove gcloud-crc32c — Go binary compiled with old Go stdlib (CVEs). # Remove gsutil's vendored urllib3 dummyserver — contains a dummy private key # that triggers secret-detection scanners (e.g. Trivy). # gcloud/gsutil use the conda environment Python, not the bundled one. RUN /tmp/install-conda-deps.sh /tmp/requirements/baseimage.txt && \ rm -rf /opt/conda/share/google-cloud-sdk-*/platform/bundledpythonunix && \ rm -f /opt/conda/share/google-cloud-sdk-*/bin/gcloud-crc32c && \ rm -rf /opt/conda/share/google-cloud-sdk-*/platform/gsutil/third_party/urllib3/dummyserver && \ rm -rf /tmp/requirements /tmp/install-conda-deps.sh # Install firecloud via pip instead of conda because the conda noarch # package bundles x86_64-only wheels (cryptography, cffi, grpcio, etc.) # that overwrite conda's native packages and break on arm64 (#1042). # Requires setuptools<80 due to firecloud's use of deprecated setuptools # APIs (broadinstitute/fiss#192). RUN pip install --no-cache-dir --upgrade pip wheel && \ pip install --no-cache-dir 'setuptools<80' && \ pip install --no-cache-dir --no-build-isolation 'firecloud>=0.16.35' WORKDIR /opt/viral-ngs/source # Verify installation RUN python --version && \ micromamba --version && \ miniwdl --version && \ udocker --allow-root version && \ python -c "from cryptography.hazmat.bindings._rust import _openssl; print('cryptography Rust binding OK')" && \ python -c "from firecloud import api as fapi; print('firecloud OK')" CMD ["/bin/bash"] ================================================ FILE: docker/Dockerfile.classify ================================================ # viral-ngs classify image # Builds on core, adds metagenomic classification tools # # This provides: # - All core bioinformatics tools (from core image) # - Classification: Kraken2, Krona, BLAST, LAST, BMTagger # - K-mer tools: KMC, KMA # - Pseudoalignment: kallisto/kb-python # # Usage: # docker build --build-arg BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core -t viral-ngs:classify -f docker/Dockerfile.classify . ARG BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core FROM ${BASEIMAGE} LABEL maintainer="viral-ngs@broadinstitute.org" LABEL org.opencontainers.image.source="https://github.com/broadinstitute/viral-ngs" # Enable conda environment activation for RUN commands ARG MAMBA_DOCKERFILE_ACTIVATE=1 # Copy requirements and dependency installation script COPY docker/requirements/baseimage.txt docker/requirements/core.txt docker/requirements/classify.txt docker/requirements/classify-x86.txt /tmp/requirements/ COPY docker/install-conda-deps.sh /tmp/ # Install conda dependencies (classify tools) # All files resolved together in single micromamba call; x86-only files skipped on ARM RUN /tmp/install-conda-deps.sh /tmp/requirements/baseimage.txt /tmp/requirements/core.txt /tmp/requirements/classify.txt \ --x86-only:/tmp/requirements/classify-x86.txt # Copy source code (includes classify module) COPY src/ /opt/viral-ngs/source/src/ COPY pyproject.toml README.md LICENSE /opt/viral-ngs/source/ # Install viral-ngs package # VERSION is passed from GitHub Actions via git describe WORKDIR /opt/viral-ngs/source ARG VERSION ENV SETUPTOOLS_SCM_PRETEND_VERSION=${VERSION} RUN pip install --no-cache-dir . && \ echo "${VERSION}" > /opt/viral-ngs/source/VERSION # Verify installation RUN python -c "from viral_ngs import read_utils, illumina; print('Core modules OK')" && \ python -c "from viral_ngs import metagenomics, taxon_filter, kmer_utils; print('Classify command modules OK')" && \ python -c "from viral_ngs.classify import blast, bmtagger, kraken2, krona, kma, kmc, last; print('Classify tools OK')" # Clean up RUN rm -rf /tmp/requirements /tmp/install-conda-deps.sh CMD ["/bin/bash"] ================================================ FILE: docker/Dockerfile.core ================================================ # viral-ngs core image # Builds on baseimage, adds core bioinformatics tools and viral-ngs package # # This provides: # - All core bioinformatics tools (samtools, picard, bwa, etc.) # - The viral-ngs Python package installed in editable mode # # Usage: # docker build --build-arg BASEIMAGE_TAG=main-baseimage -t viral-ngs:core -f docker/Dockerfile.core . ARG BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-baseimage FROM ${BASEIMAGE} LABEL maintainer="viral-ngs@broadinstitute.org" LABEL org.opencontainers.image.source="https://github.com/broadinstitute/viral-ngs" # Enable conda environment activation for RUN commands ARG MAMBA_DOCKERFILE_ACTIVATE=1 # Copy requirements and dependency installation script COPY docker/requirements/baseimage.txt docker/requirements/core.txt docker/requirements/core-x86.txt /tmp/requirements/ COPY docker/install-conda-deps.sh /tmp/ # Install conda dependencies (bioinformatics tools) # All files resolved together in single micromamba call; x86-only files skipped on ARM RUN /tmp/install-conda-deps.sh /tmp/requirements/baseimage.txt /tmp/requirements/core.txt \ --x86-only:/tmp/requirements/core-x86.txt # Copy source code COPY src/ /opt/viral-ngs/source/src/ COPY pyproject.toml README.md LICENSE /opt/viral-ngs/source/ # Copy utility scripts COPY docker/scripts/ /opt/viral-ngs/scripts/ # Install viral-ngs package # VERSION is passed from GitHub Actions via git describe WORKDIR /opt/viral-ngs/source ARG VERSION ENV SETUPTOOLS_SCM_PRETEND_VERSION=${VERSION} RUN pip install --no-cache-dir . && \ echo "${VERSION}" > /opt/viral-ngs/source/VERSION # Verify installation RUN python -c "from viral_ngs import read_utils, illumina, reports; print('Command modules OK')" && \ python -c "from viral_ngs.core import samtools, picard, bwa; print('Tool wrappers OK')" && \ python -c "from viral_ngs.core import file, misc, cmd; print('Utilities OK')" && \ read_utils --version # Clean up RUN rm -rf /tmp/requirements /tmp/install-conda-deps.sh CMD ["/bin/bash"] ================================================ FILE: docker/Dockerfile.mega ================================================ # viral-ngs mega image # Builds on core, adds ALL tools (assembly, classification, phylogenetics) # # This provides: # - All core bioinformatics tools (from core image) # - All assembly tools (SPAdes, MUMmer, MAFFT, skani, etc.) # - All classification tools (Kraken2, BLAST, BMTagger, KMC, etc.) # - All phylogenetics tools (LoFreq, SnpEff, MUSCLE, V-Phaser2, etc.) # # Usage: # docker build --build-arg BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core -t viral-ngs:mega -f docker/Dockerfile.mega . ARG BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core FROM ${BASEIMAGE} LABEL maintainer="viral-ngs@broadinstitute.org" LABEL org.opencontainers.image.source="https://github.com/broadinstitute/viral-ngs" # Enable conda environment activation for RUN commands ARG MAMBA_DOCKERFILE_ACTIVATE=1 # Copy requirements and dependency installation script COPY docker/requirements/baseimage.txt docker/requirements/core.txt docker/requirements/assemble.txt docker/requirements/assemble-x86.txt docker/requirements/classify.txt docker/requirements/classify-x86.txt docker/requirements/phylo.txt docker/requirements/phylo-x86.txt /tmp/requirements/ COPY docker/install-conda-deps.sh /tmp/ # Install ALL conda dependencies in single resolver call for proper dependency resolution # All files resolved together; x86-only files skipped on ARM # Post-install fixups (inline so vulnerable files never appear in a committed layer): # - mafft's dash_client: Go 1.22.1 binary with Go stdlib CVEs; we never use --dash mode # - Ruby json gem: mummer4 → yaggo → Ruby, whose bundled json gem has CVE-2026-33210; # remove the old default gem and install patched version (>=2.19.2) # - Ruby erb gem: same chain (mummer4 → yaggo → ruby), CVE-2026-41316 (Marshal # deserialization bypass via ERB#def_module); remove default gem and install >=6.0.4 RUN /tmp/install-conda-deps.sh /tmp/requirements/baseimage.txt /tmp/requirements/core.txt /tmp/requirements/assemble.txt /tmp/requirements/classify.txt /tmp/requirements/phylo.txt \ --x86-only:/tmp/requirements/assemble-x86.txt \ --x86-only:/tmp/requirements/classify-x86.txt \ --x86-only:/tmp/requirements/phylo-x86.txt && \ rm -f /opt/conda/libexec/mafft/dash_client && \ find /opt/conda/lib/ruby -maxdepth 3 -name 'json*' -not -path '*/psych/*' -exec rm -rf {} + && \ rm -f /opt/conda/lib/ruby/gems/*/specifications/default/json-*.gemspec && \ gem install json --version '>=2.19.2' --no-document && \ find /opt/conda/lib/ruby -maxdepth 3 -name 'erb*' -exec rm -rf {} + && \ rm -f /opt/conda/lib/ruby/gems/*/specifications/default/erb-*.gemspec && \ gem install erb --version '>=6.0.4' --no-document # Copy source code (includes all modules) COPY src/ /opt/viral-ngs/source/src/ COPY pyproject.toml README.md LICENSE /opt/viral-ngs/source/ # Install viral-ngs package # VERSION is passed from GitHub Actions via git describe WORKDIR /opt/viral-ngs/source ARG VERSION ENV SETUPTOOLS_SCM_PRETEND_VERSION=${VERSION} RUN pip install --no-cache-dir . && \ echo "${VERSION}" > /opt/viral-ngs/source/VERSION # Verify installation - all modules RUN python -c "from viral_ngs import read_utils, illumina; print('Core command modules OK')" && \ python -c "from viral_ngs import assembly; print('Assembly command modules OK')" && \ python -c "from viral_ngs import metagenomics, taxon_filter, kmer_utils; print('Classify command modules OK')" && \ python -c "from viral_ngs import interhost, intrahost, ncbi; print('Phylo command modules OK')" && \ python -c "from viral_ngs.core import samtools, picard, bwa; print('Core tools OK')" && \ python -c "from viral_ngs.assemble import spades, mummer, mafft; print('Assemble tools OK')" && \ python -c "from viral_ngs.classify import kraken2, blast, bmtagger; print('Classify tools OK')" && \ python -c "from viral_ngs.phylo import mafft, muscle, snpeff; print('Phylo tools OK')" # Clean up RUN rm -rf /tmp/requirements /tmp/install-conda-deps.sh CMD ["/bin/bash"] ================================================ FILE: docker/Dockerfile.phylo ================================================ # viral-ngs phylo image # Builds on core, adds phylogenetic analysis tools # # This provides: # - All core bioinformatics tools (from core image) # - Alignment tools: MAFFT, MUMmer, MUSCLE # - Variant calling: V-Phaser2, LoFreq # - Annotation: SnpEff, table2asn (x86-only) # # Usage: # docker build --build-arg BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core -t viral-ngs:phylo -f docker/Dockerfile.phylo . ARG BASEIMAGE=quay.io/broadinstitute/viral-ngs:main-core FROM ${BASEIMAGE} LABEL maintainer="viral-ngs@broadinstitute.org" LABEL org.opencontainers.image.source="https://github.com/broadinstitute/viral-ngs" # Enable conda environment activation for RUN commands ARG MAMBA_DOCKERFILE_ACTIVATE=1 # Copy requirements and dependency installation script COPY docker/requirements/baseimage.txt docker/requirements/core.txt docker/requirements/phylo.txt docker/requirements/phylo-x86.txt /tmp/requirements/ COPY docker/install-conda-deps.sh /tmp/ # Install conda dependencies (phylo tools) # All files resolved together in single micromamba call; x86-only files skipped on ARM # Post-install fixups (inline so vulnerable files never appear in a committed layer): # - mafft's dash_client: Go 1.22.1 binary with Go stdlib CVEs; we never use --dash mode # - Ruby json gem: mummer4 pulls in yaggo → Ruby, whose bundled json gem has # CVE-2026-33210; remove the old default gem and install patched version (>=2.19.2) # - Ruby erb gem: same chain (mummer4 → yaggo → ruby), CVE-2026-41316 (Marshal # deserialization bypass via ERB#def_module); remove default gem and install >=6.0.4 RUN /tmp/install-conda-deps.sh /tmp/requirements/baseimage.txt /tmp/requirements/core.txt /tmp/requirements/phylo.txt \ --x86-only:/tmp/requirements/phylo-x86.txt && \ rm -f /opt/conda/libexec/mafft/dash_client && \ find /opt/conda/lib/ruby -maxdepth 3 -name 'json*' -not -path '*/psych/*' -exec rm -rf {} + && \ rm -f /opt/conda/lib/ruby/gems/*/specifications/default/json-*.gemspec && \ gem install json --version '>=2.19.2' --no-document && \ find /opt/conda/lib/ruby -maxdepth 3 -name 'erb*' -exec rm -rf {} + && \ rm -f /opt/conda/lib/ruby/gems/*/specifications/default/erb-*.gemspec && \ gem install erb --version '>=6.0.4' --no-document # Copy source code (includes phylo module) COPY src/ /opt/viral-ngs/source/src/ COPY pyproject.toml README.md LICENSE /opt/viral-ngs/source/ # Install viral-ngs package # VERSION is passed from GitHub Actions via git describe WORKDIR /opt/viral-ngs/source ARG VERSION ENV SETUPTOOLS_SCM_PRETEND_VERSION=${VERSION} RUN pip install --no-cache-dir . && \ echo "${VERSION}" > /opt/viral-ngs/source/VERSION # Verify installation RUN python -c "from viral_ngs import read_utils, illumina; print('Core modules OK')" && \ python -c "from viral_ngs import interhost, intrahost, ncbi; print('Phylo command modules OK')" && \ python -c "from viral_ngs.phylo import mafft, mummer, muscle, snpeff, vphaser2; print('Phylo tools OK')" # Clean up RUN rm -rf /tmp/requirements /tmp/install-conda-deps.sh CMD ["/bin/bash"] ================================================ FILE: docker/install-conda-deps.sh ================================================ #!/bin/bash # # Install conda dependencies from one or more requirements files. # # Usage: install-conda-deps.sh [options] file1.txt [--x86-only:file2.txt] [file3.txt ...] # # Arguments: # file.txt Regular requirements file (installed on all architectures) # --x86-only:file.txt x86-only requirements file (skipped on ARM64) # # This script installs all dependencies in a SINGLE resolver call to prevent # version regressions when derivative images add packages. x86-only files are # included in the same resolver call on x86, ensuring consistent dependency # resolution across all packages. # # Examples: # # Install core packages only # install-conda-deps.sh baseimage.txt core.txt # # # Install with x86-only packages (single resolver call on x86, skips x86-only on ARM) # install-conda-deps.sh baseimage.txt core.txt --x86-only:core-x86.txt # # # Multiple x86-only files # install-conda-deps.sh baseimage.txt core.txt classify.txt --x86-only:classify-x86.txt phylo.txt --x86-only:phylo-x86.txt set -e -o pipefail # Architecture detection ARCH=$(uname -m) is_x86() { [[ "$ARCH" == "x86_64" || "$ARCH" == "amd64" ]] } # Keepalive function for long-running installs (prevents CI timeout) KEEPALIVE_PID="" start_keepalive() { if [ -n "$KEEPALIVE_PID" ]; then return fi ( local start_time=$(date +%s) while true; do sleep 60 local elapsed=$(($(date +%s) - start_time)) >&2 echo "Still installing... (${elapsed}s elapsed)" done ) & KEEPALIVE_PID=$! disown } stop_keepalive() { if [ -n "$KEEPALIVE_PID" ]; then kill $KEEPALIVE_PID 2>/dev/null || true unset KEEPALIVE_PID fi } trap stop_keepalive EXIT SIGINT SIGQUIT SIGTERM # Parse arguments and build requirements list REQUIREMENTS="" SKIPPED_X86_FILES="" for arg in "$@"; do if [[ "$arg" == --x86-only:* ]]; then # Extract filename from --x86-only:filename.txt file="${arg#--x86-only:}" if is_x86; then if [ -f "$file" ]; then echo "Adding x86-only requirements from: $file" REQUIREMENTS="$REQUIREMENTS --file $file" else echo "Warning: x86-only requirements file not found: $file" >&2 fi else echo "Skipping x86-only file on $ARCH: $file" SKIPPED_X86_FILES="$SKIPPED_X86_FILES $file" fi else # Regular requirements file if [ -f "$arg" ]; then echo "Adding requirements from: $arg" REQUIREMENTS="$REQUIREMENTS --file $arg" else echo "Warning: requirements file not found: $arg" >&2 fi fi done if [ -z "$REQUIREMENTS" ]; then if [ -n "$SKIPPED_X86_FILES" ]; then echo "No packages to install (all files were x86-only and skipped on $ARCH)" exit 0 fi echo "Error: No valid requirements files provided" >&2 exit 1 fi echo "" echo "Installing conda dependencies..." echo "Architecture: $ARCH" echo "micromamba version: $(micromamba --version)" echo "" # Install all dependencies together in single resolver call start_keepalive micromamba install -y -n base $REQUIREMENTS stop_keepalive echo "" echo "Installed packages:" micromamba list # Clean up: micromamba clean removes tarballs and index cache, but leaves # extracted packages in /opt/conda/pkgs/ for hardlink-installed files. # Trivy scans the full filesystem and flags CVEs in cached JARs/binaries, # so we nuke the entire pkgs cache to avoid false positives. micromamba clean -y --all rm -rf /opt/conda/pkgs/* echo "" echo "Done installing conda dependencies." ================================================ FILE: docker/requirements/assemble-x86.txt ================================================ # Assembly tools - x86-only (ARM64 build has resolver conflicts) # These packages are skipped on ARM64 architecture # Install with: install-conda-deps.sh --x86-only:assemble-x86.txt # Gap2Seq: Fills gaps in genome assemblies using short reads # ARM64 build conflicts with pillow/libtiff due to old htslib/libdeflate pins gap2seq>=3.1.1a ================================================ FILE: docker/requirements/assemble.txt ================================================ # Conda dependencies for viral-ngs assemble module # # These are bioinformatics tools used for genome assembly. # Install with core.txt in a single resolver call for proper dependency resolution. # Variant calling (replaces GATK) freebayes>=1.3.6 # Assemblers and alignment tools # Note: gap2seq is x86-only (ARM64 build conflicts with pillow/libtiff), see assemble-x86.txt mafft>=7.525 mummer4>=4.0.1 muscle>=3.8,<4 spades>=4.2.0 # Read simulation and sampling rasusa>=3.0.0 wgsim>=1.0 # Sequence comparison / ANI tools fastani>=1.34 skani>=0.3.0 sourmash-minimal>=4.8.11 # Perl packages for FASTA trimming script perl-bio-easel sequip>=0.11 # Note: sourmash_plugin_branchwater has resolver problems, excluded for now # Note: mashtree, kwip excluded (compatibility issues) ================================================ FILE: docker/requirements/baseimage.txt ================================================ # Conda dependencies for viral-ngs baseimage # # These are general-purpose tools installed in the base image that are # useful across all derivative images (core, classify, assemble, phylo). # # All packages are from conda-forge unless noted. # WDL local execution (miniwdl + udocker for containerized task execution) miniwdl>=1.11.1 udocker>=1.3.16 # Cloud CLIs awscli>=1.32.0 google-cloud-sdk>=561.0.0 google-cloud-storage>=2.14.0 # Note: firecloud is installed via pip in Dockerfile.baseimage because the # conda noarch package bundles x86_64-only wheels that break on arm64 (#1042) # Python security libraries (pinned to address CVEs in transitive deps of firecloud) cryptography>=46.0.5 jaraco.context>=6.1.0 pyopenssl>=26.0.0 pyasn1>=0.6.3 tornado>=6.5.4 # General utilities csvkit>=1.0.4 jq>=1.6 parallel>=20190922 pigz>=2.4 unzip>=6.0 zstd>=1.5.7 # Note: qsv is x86-only (no linux-aarch64 build), skipping for multi-arch support ================================================ FILE: docker/requirements/classify-x86.txt ================================================ # Classification tools - x86-only (no ARM64 builds available) # These packages are skipped on ARM64 architecture # Install with: install-conda-deps.sh --x86-only:classify-x86.txt # BMTagger: Host sequence filtering tool bmtagger>=3.101 # Kallisto/kb-python: Pseudoalignment for RNA-seq # kb-python depends on ngs-tools -> pyseq-align which has no ARM64 build kallisto>=0.51.1 kb-python>=0.29.5 ================================================ FILE: docker/requirements/classify.txt ================================================ # Metagenomic classification tools # Note: x86-only packages (bmtagger, kallisto, kb-python) are in classify-x86.txt anndata>=0.10 blast>=2.15.0 kma>=1.4.0 kmc>=3.2.1 kraken2>=2.1.3 krona>=2.8.1 last>=1541 ================================================ FILE: docker/requirements/core-x86.txt ================================================ # x86-only bioinformatics tools # These packages are only available on x86_64 architecture (no ARM64 builds in bioconda) # They are installed separately from the main core requirements # Install with: install-conda-deps.sh --x86-only requirements/core-x86.txt # Aligners (bioconda, x86 only) mvicuna>=1.0 novoalign>=3.09.04,<4 # CD-HIT auxiliary tools (includes cd-hit-dup for duplicate removal) cd-hit-auxtools>=4.6.8 ================================================ FILE: docker/requirements/core.txt ================================================ # Conda dependencies for viral-ngs core # # All Python runtime dependencies are installed via conda for faster # installation and better binary compatibility. This includes packages # with C extensions that would otherwise require compilation. # # Note: General utilities (parallel, pigz, jq, etc.) are in baseimage.txt # Note: x86-only packages (novoalign, mvicuna) are in core-x86.txt # Testing framework pytest>=7.0.0 pytest-cov>=4.0.0 pytest-xdist>=3.0.0 # Python runtime dependencies arrow>=0.12.1 biopython>=1.72 jinja2>=2.11.3 lz4>=2.2.1 matplotlib>=3.9.0 pandas>=2.0.0 pillow>=11.0 psutil>=6.1.0 pybedtools>=0.7.10 pysam>=0.23.0 pyyaml>=6.0 scipy>=1.10.0 seaborn>=0.12.0 zstandard>=0.23.0 # Bioinformatics tools bbmap>=39.10 bcftools>=1.10 bedtools>=2.31.1 bwa>=0.7.19 cd-hit>=4.8.1 fastqc>=0.12.1 fgbio>=3.1.2 illumina-interop=1.5.0 lbzip2>=2.5 lz4-c>=1.9.4 minimap2>=2.30 picard>=3.4.0 prinseq>=0.20.4 sambamba>=1.0.1 samtools>=1.21 splitcode>=0.31.6 trimmomatic>=0.40 ================================================ FILE: docker/requirements/phylo-x86.txt ================================================ # Phylogenetic tools - x86-only (no ARM64 builds available) # These packages are skipped on ARM64 architecture # table2asn: Creates sequence records for GenBank submission # Replaces tbl2asn, but binary-only x86 distribution table2asn>=1.28 ================================================ FILE: docker/requirements/phylo.txt ================================================ # Phylogenetic analysis tools bamtools>=2.5.3 lofreq>=2.1.5 mafft>=7.525 mummer4>=4.0.1 muscle>=3.8,<4 snpeff>=5.2 vphaser2>=2.0 ================================================ FILE: docker/scripts/calc_mem.py ================================================ #!/usr/bin/env python """Calculate the memory allocated to the process, taking account of cgroups. Print result to stdout. """ import math import argparse import sys import os import re import logging import os.path import multiprocessing import psutil #from util.misc import available_cpu_count # use the version of available_cpu_count() from viral-core/util/misc.py log = logging.getLogger(__name__) parser = argparse.ArgumentParser('Calculated memory allocated to the process') parser.add_argument('mem_unit', choices=('b', 'kb', 'mb', 'gb'), help='memory units') parser.add_argument('mem_fraction', type=int, help='what fraction of total memory to report') parser.add_argument('--per-cpu', dest="per_cpu", action='store_true', help='Calculate memory per-CPU.') args = parser.parse_args() if not (1 <= args.mem_fraction <= 100): raise RuntimeError("mem_fraction should be in the range [1,100]") unit2factor = {'b': 1, 'k': 1024, 'm': 1024*1024, 'g': 1024*1024*1024} MAX_INT32 = (2 ** 31)-1 def available_cpu_count(): """ Return the number of available virtual or physical CPUs on this system. The number of available CPUs can be smaller than the total number of CPUs when the cpuset(7) mechanism is in use, as is the case on some cluster systems. Adapted from http://stackoverflow.com/a/1006301/715090 """ cgroup_cpus = MAX_INT32 try: def _load(path, encoding="utf-8"): """ Loads a file content """ with open(path, 'r', encoding=encoding, newline="") as handle: tmp = handle.read() return tmp # cgroup CPU count determination (w/ v2) adapted from: # https://github.com/conan-io/conan/blob/2.9.2/conan/tools/build/cpu.py#L31-L54 # # see also: # https://docs.kernel.org/scheduler/sched-bwc.html # This is necessary to determine docker cpu_count cfs_quota_us = cfs_period_us = 0 # cgroup v2 if os.path.exists("/sys/fs/cgroup/cgroup.controllers"): cpu_max = _load("/sys/fs/cgroup/cpu.max").split() if cpu_max[0] != "max": if len(cpu_max) == 1: cfs_quota_us, cfs_period_us = int(cpu_max[0]), 100_000 else: cfs_quota_us, cfs_period_us = map(int, cpu_max) # cgroup v1 else: cfs_quota_us = int(_load("/sys/fs/cgroup/cpu/cpu.cfs_quota_us")) cfs_period_us = int(_load("/sys/fs/cgroup/cpu/cpu.cfs_period_us")) log.debug('cfs_quota_us %s, cfs_period_us %s', cfs_quota_us, cfs_period_us) if cfs_quota_us > 0 and cfs_period_us > 0: cgroup_cpus = max(1, int(math.ceil(cfs_quota_us / cfs_period_us))) except Exception as e: pass proc_cpus = MAX_INT32 try: m = re.search(r'(?m)^Cpus_allowed:\s*(.*)$', _load('/proc/self/status')) if m: res = bin(int(m.group(1).replace(',', ''), 16)).count('1') if res > 0: proc_cpus = res except IOError: pass log.debug('cgroup_cpus %d, proc_cpus %d, multiprocessing cpus %d', cgroup_cpus, proc_cpus, multiprocessing.cpu_count()) return min(cgroup_cpus, proc_cpus, multiprocessing.cpu_count()) def mem_from_proc_meminfo(): """Return the total memory, in bytes, as given by /proc/meminfo""" with open('/proc/meminfo') as f: for line in f: if line.startswith('MemTotal:'): parts = line.strip().split() val, unit = parts[1:3] unit_factor = unit2factor[unit[0].lower()] return int(val) * unit_factor raise RuntimeError('Could not get MemTotal from /proc/meminfo') def mem_from_cgroups(): """Return the total memory, in bytes, as given by cgroups (or sys.maxsize if not given)""" # list of potential cgroup paths to max mem info # see: # (cgroup v1) https://www.kernel.org/doc/Documentation/cgroup-v1/memory.txt # (cgroup v2) https://www.kernel.org/doc/Documentation/cgroup-v2.txt cgroups_memlimit_fnames = [ '/sys/fs/cgroup/memory/memory.limit_in_bytes', # cgroup v1 '/sys/fs/cgroup/memory.max' # cgroup v2 ] # try the various potential cgroup memory info paths for cgroups_memlimit_fname in cgroups_memlimit_fnames: if os.path.isfile(cgroups_memlimit_fname): with open(cgroups_memlimit_fname) as f: val = f.read().strip() if val != "max": return int(val) * unit2factor.get(val[-1], 1) return sys.maxsize def mem_from_psutil(metric_name="total"): """ Use psutil to get a memory metric by name in a cross-platform way Returning sys.maxsize (obviously wrong large value) in the event the value cannot be obtained. For available metrics, see: https://psutil.readthedocs.io/en/latest/#psutil.virtual_memory """ mem_info = psutil.virtual_memory() return int(getattr(mem_info,metric_name,sys.maxsize)) # of the memory values obtained, use the smallest value # this results in obviously-wrong values obtained from sys.maxsize # in mem_from_cgroups() or mem_from_psutil() falling in precedence mem_in_bytes = min( mem_from_psutil(), mem_from_proc_meminfo(), mem_from_cgroups() ) if args.per_cpu: mem_in_bytes = mem_in_bytes/available_cpu_count() mem_in_units = float(mem_in_bytes) / float(unit2factor[args.mem_unit[0]]) print(int(mem_in_units * (float(args.mem_fraction) / 100.0))) ================================================ FILE: docker/scripts/fasta-trim-terminal-ambigs.pl ================================================ #!/usr/bin/env perl use strict; use warnings; use Getopt::Long; use Bio::Easel::MSA; use Bio::Easel::SqFile; require "sqp_seq.pm"; require "sqp_utils.pm"; my $usage; $usage = "fasta-trim-terminal-ambigs.pl\n\n"; $usage .= "Usage:\n\n"; $usage .= "perl fasta-trim-terminal-ambigs.pl [OPTIONS] \n\n"; $usage .= "OPTIONS:\n"; $usage .= " --minlen : min allowed sequence length after trimming [default (df): 1]\n"; $usage .= " --maxlen : max allowed sequence length after trimming [df: 1Gb]\n"; $usage .= " --sfx : suffix to add to each sequence name is [df: do not change names]\n"; $usage .= " --strict : die (instead of skipping a seq) if any seq is not within minlen..maxlen range after trimming\n"; $usage .= "\nAlternatively, use the --3rules option to trim using a more sophisticated method that removes\n"; $usage .= "terminal nucleotides (nts) using the following three rules:\n\n"; $usage .= "Rule 1. remove the 10 terminal nts if > ambiguous nt exist in 10 terminal nt ( from --ten )\n"; $usage .= "Rule 2. remove the 50 terminal nts if > ambiguous nt exist in 50 terminal nt ( from --fifty )\n"; $usage .= "Continue to enforce rule 1 until it no longer applies, then enforce rule 2 and if rule 2 applies\n"; $usage .= "we go back and try to apply rule 1 again, and continue until neither rule 1 or 2 applies. Then\n"; $usage .= "move on to rule 3.\n"; $usage .= "Rule 3. remove all terminal ambiguous nt (such that sequence starts/ends with non-ambiguous nt)\n\n"; $usage .= "Then output sequence only if it has length between the minimum and maximum (from --minlen and\n"; $usage .= "--maxlen) and is less than fraction Ns ( from --maxfrac ).\n\n"; $usage .= "Options related to the alternative '3 rules' strategy:\n"; $usage .= " --3rules : use the 3 rules strategy described above [df: do not]\n"; $usage .= " --ten : max number of ambiguous nucleotides allowed in first/final 10 [df: 5]\n"; $usage .= " --fifty : max number of ambiguous nucleotides allowed in first/final 50 [df: 15]\n"; $usage .= " --maxfrac : max allowed fraction of sequence that can be Ns after trimming [df: 0.5]\n"; # set defaults, for SC2 processing, GenBank used min of 50 and max of 30000 (as of May 2021) my $minlen = 1; my $maxlen = 1000000000; # 1Gb my $sfx = undef; my $do_strict = 0; my $do_3rules = 0; # set to 1 if --3rules used # variables only relevant if --3rules is used my $df_ten_max_ambig = 5; my $df_fifty_max_ambig = 15; my $df_maxfrac_Ns = 0.5; my $ten_max_ambig = undef; my $fifty_max_ambig = undef; my $maxfrac_Ns = undef; &GetOptions( "minlen=s" => \$minlen, "maxlen=s" => \$maxlen, "sfx=s" => \$sfx, "strict" => \$do_strict, "3rules" => \$do_3rules, "ten=s" => \$ten_max_ambig, "fifty=s" => \$fifty_max_ambig, "maxfrac=s"=> \$maxfrac_Ns); if(scalar(@ARGV) != 1) { die $usage; } my ($fasta_file) = @ARGV; # enforce --3rules related options only used if --3rules also used if(! $do_3rules) { if(defined $ten_max_ambig) { die "ERROR, using --ten only makes sense if --3rules is also used"; } if(defined $fifty_max_ambig) { die "ERROR, using --fifty only makes sense if --3rules is also used"; } if(defined $maxfrac_Ns) { die "ERROR, using --maxfrac only makes sense if --3rules is also used"; } } if(! defined $ten_max_ambig) { $ten_max_ambig = $df_ten_max_ambig; } if(! defined $fifty_max_ambig) { $fifty_max_ambig = $df_fifty_max_ambig; } if(! defined $maxfrac_Ns) { $maxfrac_Ns = $df_maxfrac_Ns; } # enforce ranges that make sense for options if($minlen < 0) { die "ERROR with --minlen , must be >= 0"; } if($maxlen < 0) { die "ERROR with --maxlen , must be >= 0"; } if(($ten_max_ambig < 0) || ($ten_max_ambig >= 10)) { die "ERROR with --ten , must in range [0..9]"; } if(($fifty_max_ambig < 0) || ($fifty_max_ambig >= 50)) { die "ERROR with --ten , must in range [0..49]"; } if($minlen > $maxlen) { die "ERROR with --minlen and --maxlen , must not be greater than "; } if($ten_max_ambig > $fifty_max_ambig) { die "ERROR with --ten and --fifty , must not be greater than "; } if(($maxfrac_Ns < -0.00001) || ($maxfrac_Ns > 1.00001)) { die "ERROR with --maxfrac , must be between 0 and 1"; } if(! -s $fasta_file) { die "ERROR fasta file $fasta_file does not exist or is empty"; } # determine number of sequences in file my $nseq = `grep ^\\> $fasta_file | wc -l`; chomp $nseq; $nseq =~ s/^\s+//; # remove leading whitespace $nseq =~ s/\s+$//; # remove trailing whitespace if($nseq !~ /^\s*\d+\s*$/) { die "ERROR could not determine number of sequences in file using grep and wc"; } # open Bio::Easel SqFile object my $sqfile = Bio::Easel::SqFile->new({ fileLocation => $fasta_file }); # the sequence file object my $fasta_seq = undef; my @fasta_seq_A = (); my ($header, $sqstring, $out_header) = (undef, undef, undef); # for each sequence, remove Ns and output to STDOUT for(my $i = 0; $i < $nseq; $i++) { $fasta_seq = $sqfile->fetch_consecutive_seqs(1, "", -1); # -1: unlimited line length @fasta_seq_A = split(/\n/, $fasta_seq); if(scalar(@fasta_seq_A) != 2) { die "ERROR fetching sequence, could not split into header and sequence lines:\n$fasta_seq\n"; } ($header, $sqstring) = (@fasta_seq_A); # add sfx to sequence name, if --sfx used if(defined $sfx) { if($header =~ /^\>(\S+)(\s*.*)$/) { $out_header = ">" . $1 . $sfx . $2; } else { die "ERROR unable to parse header line:\n$header\n"; } } else { # --sfx not used $out_header = $header; } # two modes: # ! do_3rules (--3rules not used): remove leading and trailing ambigs only # do_3rules (--3rules): enforce the three rules if(! $do_3rules) { $sqstring =~ s/^[^ACGTUacgtu]+//; # remove any 5'-terminal ambiguous nts $sqstring =~ s/[^ACGTUacgtu]+$//; # remove any 3'-terminal ambiguous nts } else { # --3rules used, enforce the 3 rules # We trim the sequence at 5' end, then reverse it and trim at 3' end # (this makes it so we can reuse same code for both ends) # then reverse it back and output it (if there's any sequence left after trimming) $sqstring = trim_5p_end_using_three_rules($sqstring, $ten_max_ambig, $fifty_max_ambig); ##printf("5' trimmed length: %d\n", length($sqstring)); if($sqstring ne "") { $sqstring = reverse($sqstring); $sqstring = trim_5p_end_using_three_rules($sqstring, $ten_max_ambig, $fifty_max_ambig); ##printf("3' trimmed length: %d\n", length($sqstring)); if($sqstring ne "") { # reverse it back to original forward direction $sqstring = reverse($sqstring); } } } my $seqlen = length($sqstring); my $n_N = () = $sqstring =~ /[Nn]/g; # count Ns my $frac_N = ($seqlen > 0) ? ($n_N / $seqlen) : 0.; if(($seqlen < $minlen) || # too short (after trimming) ($seqlen > $maxlen) || # too long (after trimming) (($do_3rules) && ($frac_N > $maxfrac_Ns))) { # --3rules used and too many Ns (after trimming) # do not output sequence if(! $do_strict) { ; # --strict not used, it's ok to skip seqs, do nothing } else { # --strict used, it's not ok to skip seqs, die if($seqlen < $minlen) { die "ERROR sequence with the header line below is too short (after trimming) length is $seqlen minlen is $minlen.\n$header\n"; } elsif($seqlen > $maxlen) { die "ERROR sequence with the header line below is too short (after trimming) length is $seqlen minlen is $minlen.\n$header\n"; } else { die "ERROR sequence with the header line below has too many Ns (after trimming) fraction Ns is $frac_N, max allowed is $maxfrac_Ns\n$header\n"; } } } else { # $sqstring is not too short, not too long, and doesn't have too many Ns (if --3rules) print $out_header . "\n"; print seq_SqstringAddNewlines($sqstring, 60); } } exit 0; ################################################################# # Subroutine: trim_5p_end_using_three_rules() # Incept: EPN, Wed Apr 7 07:22:43 2021 # # Purpose: Given a sequence string <$sqstring>, remove ambiguous # nts from the 5' end the same way that GenBank processing # does, using 3 rules: # while any rule results in trimming: # - rule 1: remove the 10 5'-most nt if > $ten_max_ambig # ambiguous nt exist in 10 5'-most nt [5 by default] # - rule 2: remove the 50 5'-most nt if > $fifty_max_ambig # ambiguous nt exist in 50 5'-most nt [15 by default] # - rule 3: after rule 1 and rule 2 trimming is finished, # trim terminal ambiguous nucleotides before returning. # # Arguments: # $sqstring: the nucleotide sequence string # $ten_max_ambig: max number of ambiguous nucleotides allowed in first 10 # $fifty_max_ambig: max number of ambiguous nucleotides allowed in first 50 # # Returns: the input <$sqstring> trimmed as above, or "" if none is left after trimming # ################################################################# sub trim_5p_end_using_three_rules { my $sub_name = "trim_5p_end_using_three_rules"; my $nargs_expected = 3; if(scalar(@_) != $nargs_expected) { printf STDERR ("ERROR, $sub_name entered with %d != %d input arguments.\n", scalar(@_), $nargs_expected); exit(1); } my ($sqstring, $ten_max_ambig, $fifty_max_ambig) = @_; my $keep_going = 1; my ($next_10, $next_50, $nambig, $trim_offset); my $ntrimmed = 0; while(($keep_going) && ($sqstring ne "")) { $keep_going = 0; # set to 1 if we use any rules below # rule 1: remove the 10 5'-most nt if > $ten_max_ambig ambiguous nt exist in 10 5'-most nt $next_10 = substr($sqstring, 0, 10); $nambig = () = $next_10 =~ /[^ACGTUacgtu]/g; if($nambig > $ten_max_ambig) { # determine how many to trim, stop trimming at final ambig char in region # remove all non-ambiguous nt from the end to determine length to trim $next_10 =~ s/[ACGTUacgtu]+$//; $trim_offset = length($next_10); $ntrimmed += $trim_offset; ##printf("nambig: $nambig, trimming $trim_offset: %s (ntrimmed: $ntrimmed)\n", substr($sqstring, 0, $trim_offset)); $sqstring = substr($sqstring, $trim_offset); $keep_going = 1; } # rule 2: remove the 50 5'-most nt if > $fifty_max_ambig ambiguous nt exist in 50 5'-most nt if(! $keep_going) { # only enforce this rule if we didn't use rule 1 $next_50 = substr($sqstring, 0, 50); $nambig = () = $next_50 =~ /[^ACGTUacgtu]/g; if($nambig > $fifty_max_ambig) { # determine how many to trim, stop trimming at final ambig char in region # remove all non-ambiguous nt from the end to determine length to trim $next_50 =~ s/[ACGTUacgtu]+$//; $trim_offset = length($next_50); $ntrimmed += $trim_offset; ##printf("nambig: $nambig, trimming $trim_offset: %s (ntrimmed: $ntrimmed)\n", substr($sqstring, 0, $trim_offset)); $sqstring = substr($sqstring, $trim_offset); $keep_going = 1; } } } # finally, trim any leading (terminal) ambiguities $sqstring =~ s/^[^ACGTUacgtu]+//; return $sqstring; } ================================================ FILE: docs/Makefile ================================================ # Makefile for Sphinx documentation # # You can set these variables from the command line. 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The pseudo-XML files are in $(BUILDDIR)/pseudoxml." ================================================ FILE: docs/assembly.rst ================================================ assembly.py - viral sequence assembly from NGS reads ==================================================== .. argparse:: :module: viral_ngs.assembly :func: full_parser :prog: assembly.py ================================================ FILE: docs/broad_utils.rst ================================================ broad_utils.py - for data generated at the Broad Institute ========================================================== .. argparse:: :module: viral_ngs.broad_utils :func: full_parser :prog: broad_utils.py ================================================ FILE: docs/cmdline.rst ================================================ Command line tools ================== .. toctree:: illumina read_utils assembly taxon_filter metagenomics kmer_utils interhost intrahost ncbi reports file_utils broad_utils ================================================ FILE: docs/conf.py ================================================ #!/usr/bin/env python3 # -*- coding: utf-8 -*- # # viral-ngs documentation build configuration file, created by # sphinx-quickstart on Fri Jan 16 00:23:17 2015. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys import os # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # Add the project root to sys.path so viral_ngs package can be found project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) sys.path.insert(0, os.path.join(project_root, 'src')) # -- Mock out the heavyweight pip packages, esp those that require C ---- from unittest import mock MOCK_MODULES = [ 'scipy', 'pysam', 'Bio', 'Bio.AlignIO', 'Bio.Alphabet', 'Bio.Alphabet.IUPAC', 'Bio.SeqIO', 'Bio.SeqIO.FastaIO', 'Bio.Data.IUPACData', 'Bio.Seq', 'Bio.SeqRecord', 'pybedtools', 'pybedtools.BedTool', 'arrow', 'zstandard', 'bz2', 'lz4', 'lz4.frame', 'anndata', ] for mod_name in MOCK_MODULES: sys.modules[mod_name] = mock.Mock() # -- Obtain GIT version -- import subprocess def _git_version(): cmd = ['git', 'describe', '--tags', '--always'] # omit "--dirty" from doc build out = subprocess.check_output(cmd) if type(out) != str: out = out.decode('utf-8') return out.strip() __version__ = _git_version() # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = ['sphinx.ext.autodoc', 'sphinx.ext.doctest', 'sphinx.ext.imgmath', 'sphinxarg.ext', 'sphinx_rtd_theme'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = 'viral-ngs' copyright = '2026, Broad Institute Viral Genomics' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # release = __version__ version = '.'.join(release.split('.')[:2]) # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. today_fmt = '%Y-%m-%d' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = ['_build'] # The reST default role (used for this markup: `text`) to use for all # documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. #keep_warnings = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'sphinx_rtd_theme' # on_rtd = os.environ.get('READTHEDOCS') == 'True' # if on_rtd: # html_theme = 'sphinx_rtd_theme' # else: # import sphinx_rtd_theme # html_theme = "sphinx_rtd_theme" # html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". # html_static_path = ['_static'] # Add any extra paths that contain custom files (such as robots.txt or # .htaccess) here, relative to this directory. These files are copied # directly to the root of the documentation. #html_extra_path = [] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. html_last_updated_fmt = '%Y-%m-%d. {}'.format(release) # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'viral-ngsdoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [('index', 'viral-ngs.tex', 'viral-ngs Documentation', 'Broad Institute Viral Genomics', 'manual'),] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [('index', 'viral-ngs', 'viral-ngs Documentation', ['Broad Institute Viral Genomics'], 1)] # If true, show URL addresses after external links. #man_show_urls = False # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'viral-ngs', 'viral-ngs Documentation', 'Broad Institute Viral Genomics', 'viral-ngs', 'Viral genomics analysis pipelines', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. #texinfo_no_detailmenu = False ================================================ FILE: docs/description.rst ================================================ Description of the methods ========================== This is a base module that provides basic utility functions, some short read aligners, and samtools and Picard. ================================================ FILE: docs/file_utils.rst ================================================ file_utils.py - utilities to perform various file manipulations ================================================================ .. argparse:: :module: viral_ngs.file_utils :func: full_parser :prog: file_utils.py ================================================ FILE: docs/illumina.rst ================================================ illumina.py - for raw Illumina outputs ====================================== .. argparse:: :module: viral_ngs.illumina :func: full_parser :prog: illumina.py ================================================ FILE: docs/index.rst ================================================ .. viral-ngs documentation master file, created by sphinx-quickstart on Fri Jan 16 00:23:17 2015. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. viral-ngs: genomic analysis pipelines for viral sequencing ========================================================== Contents -------- .. toctree:: :maxdepth: 2 :numbered: description cmdline ================================================ FILE: docs/interhost.rst ================================================ interhost.py - SNP calling, multi-alignment, and phylogenetics ============================================================== .. argparse:: :module: viral_ngs.interhost :func: full_parser :prog: interhost.py ================================================ FILE: docs/intrahost.rst ================================================ intrahost.py - intrahost variant calling and annotation ======================================================= .. argparse:: :module: viral_ngs.intrahost :func: full_parser :prog: intrahost.py ================================================ FILE: docs/kmer_utils.rst ================================================ kmer_utils.py - commands for working with sets of kmers ======================================================= .. argparse:: :module: viral_ngs.kmer_utils :func: full_parser :prog: kmer_utils.py ================================================ FILE: docs/metagenomics.rst ================================================ metagenomics.py - utilities for metagenomic analyses ==================================================== .. argparse:: :module: viral_ngs.metagenomics :func: full_parser :prog: metagenomics.py ================================================ FILE: docs/ncbi.rst ================================================ ncbi.py - NCBI Genbank and SRA utilities ======================================== .. argparse:: :module: viral_ngs.ncbi :func: full_parser :prog: ncbi.py ================================================ FILE: docs/read_utils.rst ================================================ read_utils.py - utilities that manipulate bam and fastq files ============================================================= .. argparse:: :module: viral_ngs.read_utils :func: full_parser :prog: read_utils.py ================================================ FILE: docs/reports.rst ================================================ reports.py - produce various metrics and reports ================================================ .. argparse:: :module: viral_ngs.reports :func: full_parser :prog: reports.py ================================================ FILE: docs/requirements.txt ================================================ jinja2==3.1.4 # https://github.com/readthedocs/readthedocs.org/issues/9037#issuecomment-1077818554 Sphinx==7.4.7 #override sphinx pinning done by RTD: https://docs.readthedocs.io/en/stable/build-default-versions.html#external-dependencies sphinx-argparse==0.5.2 sphinx-rtd-theme>=2.0.0 matplotlib>=2.2.4 PyYAML==6.0.1 mock==5.0.1 recommonmark ================================================ FILE: docs/taxon_filter.rst ================================================ taxon_filter.py - filter reads by taxonomic membership ====================================================== .. argparse:: :module: viral_ngs.taxon_filter :func: full_parser :prog: taxon_filter.py ================================================ FILE: pyproject.toml ================================================ [build-system] requires = ["setuptools>=61.0", "setuptools-scm"] build-backend = "setuptools.build_meta" [project] name = "viral-ngs" dynamic = ["version"] description = "Consolidated tools for viral NGS data analysis" readme = "README.md" license = "MIT" requires-python = ">=3.10" authors = [ { name = "Broad Institute Viral Genomics", email = "viral-ngs@broadinstitute.org" } ] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "Operating System :: POSIX :: Linux", "Operating System :: MacOS :: MacOS X", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Scientific/Engineering :: Bio-Informatics", ] keywords = ["bioinformatics", "genomics", "viral", "ngs", "sequencing"] # Python dependencies for pip-based installs # Note: For Docker-based usage, all deps (including bioinformatics tools) are # installed via conda. See docker/requirements/core.txt dependencies = [ "arrow>=0.12.1", "biopython>=1.72", "jinja2>=2.11.3", "lz4>=2.2.1", "matplotlib>=2.2.4", "pandas>=2.0.0", "psutil>=6.1.0", "pybedtools>=0.7.10", "pysam>=0.23.0", "pyyaml>=6.0", "scipy>=1.10.0", "seaborn>=0.12.0", "zstandard>=0.23.0", ] [project.optional-dependencies] dev = [ "pytest>=7.0", "pytest-xdist", "pytest-cov", ] [project.scripts] # Command-line entry points for viral-ngs tools # Core commands illumina = "viral_ngs.illumina:main" read_utils = "viral_ngs.read_utils:main" reports = "viral_ngs.reports:main" file_utils = "viral_ngs.file_utils:main" broad_utils = "viral_ngs.broad_utils:main" # Assembly commands assembly = "viral_ngs.assembly:main" # Classification commands metagenomics = "viral_ngs.metagenomics:main" taxon_filter = "viral_ngs.taxon_filter:main" kmer_utils = "viral_ngs.kmer_utils:main" # Phylogenetics commands interhost = "viral_ngs.interhost:main" intrahost = "viral_ngs.intrahost:main" ncbi = "viral_ngs.ncbi:main" [project.urls] Homepage = "https://github.com/broadinstitute/viral-ngs" Repository = "https://github.com/broadinstitute/viral-ngs" Issues = "https://github.com/broadinstitute/viral-ngs/issues" [tool.setuptools_scm] [tool.setuptools.packages.find] where = ["src"] [tool.pytest.ini_options] testpaths = ["tests"] python_files = ["test_*.py"] addopts = "-v --tb=short" markers = [ "slow: marks tests as slow (deselect with '-m \"not slow\"')", ] ================================================ FILE: src/viral_ngs/__init__.py ================================================ """ viral-ngs: Consolidated tools for viral NGS data analysis. This package provides utilities for viral genome sequencing data analysis, including read processing, assembly, classification, and phylogenetics. All modules are in the `core` subpackage: import viral_ngs.core.samtools import viral_ngs.core.picard import viral_ngs.core.file import viral_ngs.core.misc """ try: from importlib.metadata import version, PackageNotFoundError try: __version__ = version("viral-ngs") except PackageNotFoundError: __version__ = "0.0.0.dev0" except ImportError: __version__ = "0.0.0.dev0" # Import core module - all functionality is in viral_ngs.core.* from . import core ================================================ FILE: src/viral_ngs/assemble/__init__.py ================================================ """ viral_ngs.assemble - Tool wrappers for genome assembly. Contains wrappers for assembly-related bioinformatics tools: - SPAdes, Gap2Seq, MAFFT, MUMmer, Muscle, etc. """ # Import tool wrappers for convenient access from . import gap2seq from . import mafft from . import mummer from . import muscle from . import skani from . import spades from . import freebayes from . import rasusa from . import vcf from . import wgsim ================================================ FILE: src/viral_ngs/assemble/freebayes.py ================================================ ''' FreeBayes variant caller — a Bayesian genetic variant detector. Replaces GATK3 UnifiedGenotyper for consensus refinement. Uses --report-monomorphic to emit all sites (equivalent to EMIT_ALL_SITES). ''' import logging import os import shutil import subprocess import pysam from ..core import Tool, PrexistingUnixCommand from ..core.file import mkstempfname _log = logging.getLogger(__name__) TOOL_NAME = 'freebayes' class FreeBayesTool(Tool): def __init__(self): install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] Tool.__init__(self, install_methods=install_methods) def call(self, inBam, refFasta, outVcf, options=None): """Call variants with FreeBayes, emitting all sites. If outVcf ends with .vcf.gz, the output is bgzipped and tabix-indexed (FreeBayes always writes plain VCF, so we compress and index afterward). """ options = options or ["--min-base-quality", "15", "--pooled-continuous"] if outVcf.endswith('.vcf.gz'): plainVcf = mkstempfname('.vcf') else: plainVcf = outVcf opts = [ '-b', inBam, '-f', refFasta, '-v', plainVcf, '--use-best-n-alleles', '0', '--report-monomorphic', ] tool_cmd = [self.install_and_get_path()] + opts + options _log.debug(' '.join(tool_cmd)) subprocess.check_call(tool_cmd) if outVcf.endswith('.vcf.gz'): pysam.tabix_compress(plainVcf, outVcf, force=True) pysam.tabix_index(outVcf, preset='vcf', force=True) os.unlink(plainVcf) ================================================ FILE: src/viral_ngs/assemble/gap2seq.py ================================================ ''' Gap2Seq - assembly gap closing tool ''' import itertools import functools import operator import logging import os import os.path import subprocess import shlex import shutil import tempfile import time import Bio.Seq import viral_ngs.core import viral_ngs.core.samtools import viral_ngs.core.file import viral_ngs.core.misc TOOL_NAME = 'Gap2Seq' log = logging.getLogger(__name__) class Gap2SeqTool(viral_ngs.core.Tool): """Tool wrapper for the Gap2Seq gap-closing tool.""" def __init__(self, install_methods=None): if install_methods is None: install_methods = [viral_ngs.core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(Gap2SeqTool, self).__init__(install_methods=install_methods) def version(self): return None def execute(self, args): # pylint: disable=W0221 tool_cmd = [self.install_and_get_path()] + list(args) log.debug('running gap2seq: ' + ' '.join(tool_cmd)) subprocess.check_call(tool_cmd) def _run_gap2seq(self, reads, scaffolds, filled, *args, **kwargs): # gap2seq (or rather the gatb library it uses) currently has a bug where tempfiles are left in the # current working directory. So we run it in its own temp dir, but then must give absolute paths # for all files. abspath = os.path.abspath file_args = ('-s', abspath(scaffolds), '--filled', abspath(filled), '--reads', ','.join(map(abspath,reads))) more_args = functools.reduce(operator.concat, [(('--' if len(arg) > 1 else '-') + arg.replace('_','-'), str(val)) for arg, val in kwargs.items()], ()) with viral_ngs.core.file.tmp_dir('_gap2seq_run_dir') as gap2seq_run_dir: with viral_ngs.core.file.pushd_popd(gap2seq_run_dir): self.execute(file_args+args+more_args) def gapfill(self, in_scaffold, in_bam, out_scaffold, solid_kmer_thresholds=(3,), kmer_sizes=(90, 80, 70, 60, 50, 40, 31), min_gap_to_close=4, gap2seq_opts='', mem_limit_gb=4.0, threads=None, time_soft_limit_minutes=60.0, random_seed=0): """Try to fill the gaps in the given scaffold, using the reads. Inputs: in_scaffold: a FASTA file containing the scaffold. Each FASTA record corresponds to one segment (for multi-segment genomes). Contigs within each segment are separated by Ns. The exact number of Ns between contigs does not matter, as the length of the gap is one of the things determined by the gap-filling tool. (But see `min_gap_to_close`). in_bam: reads to use for filling the gaps. Only paired-end reads from the bam file are used, any unpaired reads are ignored. Outputs: out_scaffold: the input scaffold, with some of the gaps between contigs possibly filled. Params: solid_kmer_thresholds: kmers must appear at least this many times in the reads to be considered solid. We try gapfilling for all combinations of values of solid_kmer_thresholds and kmer_sizes. kmer_sizes: kmer sizes to use. We try gapfilling for all combinations of values of solid_kmer_thresholds and kmer_sizes. min_gap_to_close: stop gap-closing if all gaps are no longer than this many Ns gap2seq_opts: extra command-line flags to pass to Gap2Seq mem_limit_gb: max memory to use, in gigabytes threads: number of threads to use; None means use all available cores. time_soft_limit_minutes: stop trying to close more gaps after this many minutes (currently this is a soft/advisory limit) random_seed: random seed for choosing random paths (0 to use current time) """ solid_kmer_thresholds = sorted(viral_ngs.core.misc.make_seq(solid_kmer_thresholds), reverse=True) kmer_sizes = sorted(viral_ngs.core.misc.make_seq(kmer_sizes), reverse=True) stop_time = time.time() + 60*time_soft_limit_minutes threads = viral_ngs.core.misc.sanitize_thread_count(threads, tool_max_cores_value=0) viral_ngs.core.misc.chk(out_scaffold != in_scaffold) with viral_ngs.core.samtools.SamtoolsTool().bam2fq_tmp(in_bam) as reads, viral_ngs.core.file.tmp_dir('_gap2seq_dir') as gap2seq_dir: # We call Gap2Seq for a range of parameter combinations. Output of each call is input to the next call, so # each call only deals with gaps not closed by prior calls. We first try to close using higher-quality kmers, # and if that fails try with lower-quality ones. prev_scaffold = in_scaffold for solid_kmer_threshold, kmer_size in itertools.product(solid_kmer_thresholds, kmer_sizes): if not any('N'*min_gap_to_close in str(rec.seq) for rec in Bio.SeqIO.parse(prev_scaffold, 'fasta')): log.info('no gaps left, quittting gap2seq early') break if time.time() > stop_time: log.info('Time limit for gap closing reached') break filled_scaffold = os.path.join(gap2seq_dir, 'gap2seq-filled.s{}.k{}.fasta'.format(solid_kmer_threshold, kmer_size)) self._run_gap2seq(reads, prev_scaffold, filled_scaffold, *(['--all-upper']+shlex.split(gap2seq_opts)), solid=solid_kmer_threshold, k=kmer_size, threads=threads, max_mem=mem_limit_gb, randseed=random_seed) prev_scaffold = filled_scaffold Bio.SeqIO.convert(prev_scaffold, 'fasta', out_scaffold, 'fasta') ================================================ FILE: src/viral_ngs/assemble/mafft.py ================================================ ''' MAFFT - Multiple alignment program for amino acid or nucleotide sequences http://mafft.cbrc.jp/alignment/software/ ''' __author__ = "tomkinsc@broadinstitute.org" from Bio import SeqIO import logging import viral_ngs.core import viral_ngs.core.file import viral_ngs.core.misc import os import os.path import shutil import subprocess TOOL_NAME = "mafft" _log = logging.getLogger(__name__) class MafftTool(viral_ngs.core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [viral_ngs.core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(MafftTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '--version']).decode('UTF-8').strip().split()[0] def __seqIdsAreAllUnique(self, filePath, inputFormat="fasta"): seqIds = [] with open(filePath, "r") as inFile: fastaFile = SeqIO.parse(inFile, inputFormat) seqIds = [x.id for x in fastaFile] # collapse like IDs using set() if len(seqIds) > len(set(seqIds)): raise LookupError( "Not all sequence IDs in input are unique for file: {}".format( os.path.basename(filePath) ) ) # pylint: disable=W0221 def execute( self, inFastas, outFile, localpair, globalpair, preservecase, reorder, outputAsClustal, maxiters, gapOpeningPenalty=None, offset=None, threads=None, verbose=True, retree=None ): inputFileName = "" tempCombinedInputFile = "" # get the full paths of input and output files in case the user has specified relative paths inputFiles = [] for f in inFastas: inputFiles.append(os.path.abspath(f)) outFile = os.path.abspath(outFile) # ensure that all sequence IDs in each input file are unique # (otherwise the alignment result makes little sense) # we can check before combining to localize duplications to a specific file for filePath in inputFiles: self.__seqIdsAreAllUnique(filePath) # if multiple fasta files are specified for input if len(inputFiles) > 1: # combined specified input files into a single temp FASTA file so MAFFT can read them tempFileSuffix = "" for filePath in inputFiles: tempFileSuffix += "__" + os.path.basename(filePath) tempCombinedInputFile = viral_ngs.core.file.mkstempfname('__combined.{}'.format(tempFileSuffix)) with open(tempCombinedInputFile, "w") as outfile: for f in inputFiles: with open(f, "r") as infile: outfile.write(infile.read()) inputFileName = tempCombinedInputFile # if there is only one file specified, just use it else: inputFileName = inputFiles[0] # check that all sequence IDs in a file are unique self.__seqIdsAreAllUnique(inputFileName) # change the pwd, since the shell script that comes with mafft depends on the pwd # being correct pwdBeforeMafft = os.getcwd() os.chdir(os.path.dirname(self.install_and_get_path())) # build the MAFFT command tool_cmd = [self.install_and_get_path()] if not (retree or localpair or globalpair): tool_cmd.append("--auto") tool_cmd.extend(["--thread", "{}".format(viral_ngs.core.misc.sanitize_thread_count(threads))]) if localpair and globalpair: raise Exception("Alignment type must be either local or global, not both.") if localpair: tool_cmd.append("--localpair") if not maxiters: maxiters = 1000 if globalpair: tool_cmd.append("--globalpair") if not maxiters: maxiters = 1000 if preservecase: tool_cmd.append("--preservecase") if reorder: tool_cmd.append("--reorder") if retree: tool_cmd.extend(["--retree", "{}".format(retree)]) if gapOpeningPenalty: tool_cmd.extend(["--op", "{penalty}".format(penalty=gapOpeningPenalty)]) if offset: tool_cmd.extend(["--ep", "{num}".format(num=offset)]) if not verbose: tool_cmd.append("--quiet") if outputAsClustal: tool_cmd.append("--clustalout") if maxiters: tool_cmd.extend(["--maxiterate", "{iters}".format(iters=maxiters)]) tool_cmd.append(inputFileName) _log.debug(' '.join(tool_cmd)) # run the MAFFT alignment with open(outFile, 'w') as outf: viral_ngs.core.misc.run_and_save(tool_cmd, outf=outf) if len(tempCombinedInputFile): # remove temp FASTA file os.unlink(tempCombinedInputFile) # restore pwd os.chdir(pwdBeforeMafft) return outFile # pylint: enable=W0221 ================================================ FILE: src/viral_ngs/assemble/mummer.py ================================================ ''' The MUMMER aligner http://mummer.sourceforge.net/ ''' import logging import viral_ngs.core import viral_ngs.core.file import viral_ngs.core.misc import os import os.path import random import shutil import subprocess import Bio.SeqIO TOOL_NAME = "mummer" log = logging.getLogger(__name__) class MummerTool(viral_ngs.core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [viral_ngs.core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(MummerTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-version']).decode('UTF-8').strip() def executable_path(self): exec_path = viral_ngs.core.Tool.executable_path(self) if os.path.isdir(exec_path): return exec_path else: return os.path.dirname(exec_path) def execute(self, refFasta, qryFastas): toolCmd = [os.path.join(self.install_and_get_path(), 'mummer'), refFasta] + qryFastas log.debug(' '.join(toolCmd)) subprocess.check_call(toolCmd) def nucmer(self, refFasta, qryFasta, outDelta, extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None): if not outDelta.endswith('.delta'): raise Exception() outDelta = outDelta[:-6] toolCmd = [os.path.join(self.install_and_get_path(), 'nucmer'), '--prefix={}'.format(outDelta)] if extend is not None: if not extend: # default behavior is --extend # mummer4 no longer recognizes --extend and we should only # specify an argument here if we want non-default behavior toolCmd.append('--noextend') if breaklen is not None: toolCmd.extend(['--breaklen', str(breaklen)]) if maxgap is not None: toolCmd.extend(['--maxgap', str(maxgap)]) if minmatch is not None: toolCmd.extend(['--minmatch', str(minmatch)]) if mincluster is not None: toolCmd.extend(['--mincluster', str(mincluster)]) toolCmd.extend([refFasta, qryFasta]) log.debug(' '.join(toolCmd)) subprocess.check_call(toolCmd) def promer(self, refFasta, qryFasta, outDelta, extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None): if not outDelta.endswith('.delta'): raise Exception() outDelta = outDelta[:-6] toolCmd = [os.path.join(self.install_and_get_path(), 'promer'), '--prefix={}'.format(outDelta)] if extend is not None: if not extend: # default behavior is --extend # mummer4 no longer recognizes --extend and we should only # specify an argument here if we want non-default behavior toolCmd.append('--noextend') if breaklen is not None: toolCmd.extend(['--breaklen', str(breaklen)]) if maxgap is not None: toolCmd.extend(['--maxgap', str(maxgap)]) if minmatch is not None: toolCmd.extend(['--minmatch', str(minmatch)]) if mincluster is not None: toolCmd.extend(['--mincluster', str(mincluster)]) toolCmd.extend([refFasta, qryFasta]) log.debug(' '.join(toolCmd)) subprocess.check_call(toolCmd) def delta_filter(self, inDelta, outDelta): toolCmd = [os.path.join(self.install_and_get_path(), 'delta-filter'), '-q', inDelta] log.debug(' '.join(toolCmd)) with open(outDelta, 'w') as outf: subprocess.check_call(toolCmd, stdout=outf) def show_tiling(self, inDelta, outTiling, outFasta=None, circular=False, min_pct_id=None, min_contig_len=None, min_pct_contig_aligned=None, tab_delim=False, min_contig_coverage_diff=None): opts = [] if circular: opts.append('-c') if tab_delim: opts.append('-a') if min_pct_id is not None: opts.append('-i') opts.append(str(100.0 * min_pct_id)) if min_contig_len is not None: opts.append('-l') opts.append(str(min_contig_len)) if min_pct_contig_aligned is not None: opts.append('-v') opts.append(str(100.0 * min_pct_contig_aligned)) if min_contig_coverage_diff is not None: opts.append('-V') opts.append(str(100.0 * min_contig_coverage_diff)) toolCmd = [os.path.join(self.install_and_get_path(), 'show-tiling')] if outFasta: toolCmd = toolCmd + ['-p', outFasta] toolCmd = toolCmd + opts + [inDelta] log.debug(' '.join(toolCmd)) with open(outTiling, 'w') as outf: subprocess.check_call(toolCmd, stdout=outf) def trim_contigs(self, refFasta, contigsFasta, outFasta, aligner='nucmer', circular=False, extend=False, breaklen=None, min_pct_id=0.6, min_pct_contig_aligned=0.5, min_contig_len=200): ''' Align contigs with MUMmer and trim off the unused portions. ''' # run MUMmer to get best alignments if aligner=='nucmer': aligner = self.nucmer elif aligner=='promer': aligner = self.promer else: raise NameError() delta_1 = viral_ngs.core.file.mkstempfname('.delta') delta_2 = viral_ngs.core.file.mkstempfname('.delta') tiling = viral_ngs.core.file.mkstempfname('.tiling') aligner(refFasta, contigsFasta, delta_1, extend=extend, breaklen=breaklen) self.delta_filter(delta_1, delta_2) self.show_tiling(delta_2, tiling, circular=circular, tab_delim=True, min_pct_id=min_pct_id, min_contig_len=min_contig_len, min_pct_contig_aligned=min_pct_contig_aligned) os.unlink(delta_1) os.unlink(delta_2) # get trim boundaries per contig seq_bounds = {} with open(tiling, 'rt') as inf: for line in inf: row = line.rstrip().split('\t') seq_bounds.setdefault(row[-1], [float('inf'), 0]) start = min(int(row[2]), int(row[3])) stop = max(int(row[2]), int(row[3])) seq_bounds[row[-1]][0] = min(seq_bounds[row[-1]][0], start) seq_bounds[row[-1]][1] = max(seq_bounds[row[-1]][1], stop) os.unlink(tiling) # trim contigs out = [] with open(contigsFasta, 'rt') as inf: for record in Bio.SeqIO.parse(inf, 'fasta'): if record.id in seq_bounds: seq = record.seq[seq_bounds[record.id][0]-1:seq_bounds[record.id][1]] record.seq = seq out.append(record) with open(outFasta, 'wt') as outf: Bio.SeqIO.write(out, outf, 'fasta') def scaffold_contigs(self, refFasta, contigsFasta, outFasta, aligner='nucmer', circular=False, extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None, min_contig_coverage_diff=0.0, min_pct_id=0.6, min_pct_contig_aligned=None, min_contig_len=200): ''' Use MUMmer's pseudomolecule feature to scaffold contigs onto a reference genome. ''' if aligner=='nucmer': aligner = self.nucmer elif aligner=='promer': aligner = self.promer else: raise NameError() delta_1 = viral_ngs.core.file.mkstempfname('.delta') delta_2 = viral_ngs.core.file.mkstempfname('.delta') tiling = viral_ngs.core.file.mkstempfname('.tiling') aligner(refFasta, contigsFasta, delta_1, extend=extend, breaklen=breaklen, maxgap=maxgap, minmatch=minmatch, mincluster=mincluster) self.delta_filter(delta_1, delta_2) self.show_tiling(delta_2, tiling, outFasta=outFasta, circular=circular, min_pct_id=min_pct_id, min_contig_len=min_contig_len, min_contig_coverage_diff=min_contig_coverage_diff, min_pct_contig_aligned=min_pct_contig_aligned) os.unlink(delta_1) os.unlink(delta_2) os.unlink(tiling) def scaffold_contigs_custom(self, refFasta, contigsFasta, outFasta, outAlternateContigs=None, aligner='nucmer', extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None, min_contig_coverage_diff=0.0, min_pct_id=0.6, min_pct_contig_aligned=None, min_contig_len=200, ambig_max_aligns=2, ambig_max_lens=1, ambig_max_frac=.01): ''' Re-implement a less buggy version of MUMmer's pseudomolecule feature to scaffold contigs onto a reference genome. ''' # create tiling path with nucmer/promer and show-tiling if aligner=='nucmer': aligner = self.nucmer elif aligner=='promer': aligner = self.promer raise NotImplementedError('we have not implemented a show-aligns file reader that works for protein alignments') else: raise NameError() delta_1 = viral_ngs.core.file.mkstempfname('.delta') delta_2 = viral_ngs.core.file.mkstempfname('.delta') tiling = viral_ngs.core.file.mkstempfname('.tiling') aligner(refFasta, contigsFasta, delta_1, extend=extend, breaklen=breaklen, maxgap=maxgap, minmatch=minmatch, mincluster=mincluster) self.delta_filter(delta_1, delta_2) self.show_tiling(delta_2, tiling, tab_delim=True, min_pct_id=min_pct_id, min_contig_len=min_contig_len, min_contig_coverage_diff=min_contig_coverage_diff, min_pct_contig_aligned=min_pct_contig_aligned) os.unlink(delta_1) # load intervals into a FeatureSorter fs = viral_ngs.core.misc.FeatureSorter() with viral_ngs.core.file.open_or_gzopen(tiling, 'rU') as inf: for line in inf: row = line.rstrip('\n\r').split('\t') c = row[11] start, stop = (int(row[0]), int(row[1])) alt_seq = (row[12], int(row[2]), int(row[3])) if stop1 not currently supported') n_tot = len(seqs[0]) n_unambig = list(map(n_diff_vals, *seqs)).count(1) return float(n_unambig) / float(n_tot or 1.0) # construct scaffolded sequence for this chromosome seq = [] for _, left, right, n_features, features in fs.get_intervals(c): # get all proposed sequences for this specific region alt_seqs = [] for consider_ambig_aligns in (False, True): for f in features: alt_seqs_f = alnReaders[(c, f[-1][0])].retrieve_alts_by_ref(left, right, aln_start=f[1], aln_stop=f[2]) if len(alt_seqs_f) == 1: alt_seqs.append(alt_seqs_f[0]) elif consider_ambig_aligns: if len(alt_seqs_f) <= ambig_max_aligns and n_diff_lens(alt_seqs_f) <= ambig_max_lens and \ frac_unambig(alt_seqs_f) > (1.0 - ambig_max_frac): alt_seqs.append(alt_seqs_f[0]) log.info("using ambiguous alignment to ref seq {} at [{},{}]".format(c, f[1], f[2])) else: log.warning("dropping ambiguous alignment to ref seq {} at [{},{}]".format(c, f[1], f[2])) if alt_seqs: # if have a non-unambiguous alignment, don't consider ambiguous ones break # pick the "right" one and glue together into a chromosome ranked_unique_seqs = contig_chooser(alt_seqs, right-left+1, "%s:%d-%d" % (c, left, right)) seq.append(ranked_unique_seqs[0]) # emit the "alternates" in a separate file if outAlternateContigs and len(ranked_unique_seqs) > 1: alternate_contigs.append((c, left, right, ranked_unique_seqs)) # write this chromosome to fasta file for line in viral_ngs.core.file.fastaMaker([(str(c)+"_contigs_ordered_and_oriented", ''.join(seq))]): outf.write(line) # if alternate scaffolds exist, emit to output fasta file (if specified) if outAlternateContigs and alternate_contigs: log.info("emitting alternative scaffold sequences to {}".format(outAlternateContigs)) with open(outAlternateContigs, 'wt') as outf: for c, left, right, seqs in alternate_contigs: for line in viral_ngs.core.file.fastaMaker([ ("{}:{}-{}_option_{}".format(c,left,right,i), s) for i,s in enumerate(seqs)]): outf.write(line) def align_one_to_one(self, refFasta, otherFasta, outFasta): ''' Take two sequences, align with nucmer, and produce an aligned-fasta file of the two based on show-aligns output. ''' # grab seq_ids (very inefficient, but whatever) ref_id = Bio.SeqIO.read(refFasta, 'fasta').id query_id = Bio.SeqIO.read(otherFasta, 'fasta').id # run nucmer delta_1 = viral_ngs.core.file.mkstempfname('.delta') delta_2 = viral_ngs.core.file.mkstempfname('.delta') self.nucmer(refFasta, otherFasta, delta_1) self.delta_filter(delta_1, delta_2) # run show-aligns aln_file = viral_ngs.core.file.mkstempfname('.aligns') toolCmd = [os.path.join(self.install_and_get_path(), 'show-aligns'), '-r', delta_2, ref_id, query_id] log.debug(' '.join(toolCmd)) with open(aln_file, 'wt') as outf: subprocess.check_call(toolCmd, stdout=outf) alns = AlignsReader(aln_file, refFasta) # write fasta seqs = [[alns.seq_ids[0], []], [alns.seq_ids[1], []]] for a in alns.get_intervals(): seqs[0][1].append(a[6]) seqs[1][1].append(a[7]) seqs[0][1] = ''.join(seqs[0][1]) seqs[1][1] = ''.join(seqs[1][1]) viral_ngs.core.file.makeFastaFile(seqs, outFasta) # cleanup for fn in (delta_1, delta_2, aln_file): os.unlink(fn) def contig_chooser(alt_seqs, ref_len, coords_debug=""): ''' Our little heuristic to choose an alternative sequence from a pile of alignments to a reference. Takes a list of strings (one string per contig). This method will choose a single sequence from the input: 1. if there are no alt_seqs, emit a stretch of Ns, same length as ref 2. if there is only one alt_seq, emit that one 3. if there are many alt_seqs, emit the most popular (if there is one) 4. otherwise, if there is a most popular sequence length (including the ref_len as one vote), filter the alt_seqs to those of the most popular length and emit the most popular sequence (if there is one), otherwise, choose randomly amongst the remainder 5. otherwise, choose randomly amongst the same-as-ref length sequences 6. or just choose randomly if there are no same-as-ref length sequences The output will be a list of unique strings, where the first string is the "chosen" sequence, and the remaining strings are the alternative sequences (in no particular order, but guaranteed to be unique). ''' if not alt_seqs: # no contigs align here, emit Ns of appropriate length new_seq = 'N' * ref_len other_seqs = [] elif len(alt_seqs) == 1: # only one contig aligns here new_seq = alt_seqs[0] other_seqs = [] else: # multiple contigs align here ranks = list(sorted(viral_ngs.core.misc.histogram(alt_seqs).items(), key=lambda x:x[1], reverse=True)) other_seqs = list(s for s,n in ranks) if len(ranks)==1: # only one unique sequence exists new_seq = ranks[0][0] elif ranks[0][1]>ranks[1][1]: # clear winner: a most popular sequence exists new_seq = ranks[0][0] else: # multiple possible replacement sequences len_ranks = list(sorted(viral_ngs.core.misc.histogram( [len(s) for s in alt_seqs] + [ref_len] # let the reference have one vote ).items(), key=lambda x:x[1], reverse=True)) if len(len_ranks)==1 or len_ranks[0][1]>len_ranks[1][1]: # a most popular replacement length exists # remove all alt_seqs that don't use that length alt_seqs = list(s for s in alt_seqs if len(s)==len_ranks[0][0]) assert alt_seqs ranks = list(sorted(viral_ngs.core.misc.histogram(alt_seqs).items(), key=lambda x:x[1], reverse=True)) if len(ranks)==1 or ranks[0][1]>ranks[1][1]: # clear winner amongst remaining sequences of most popular length new_seq = ranks[0][0] else: # more complicated scenario. choose randomly. # perhaps in future, vote based on aligned read count? if len(alt_seqs)>1: log.warning("choosing random contig from %d choices of most popular length in %s" % (len(alt_seqs), coords_debug)) new_seq = random.choice(alt_seqs) else: # no clear winner on replacement length alt_ref_len_seqs = list(s for s in alt_seqs if len(s)==ref_len) if alt_ref_len_seqs: # choose randomly among same-as-ref-length sequences alt_seqs = alt_ref_len_seqs if len(alt_seqs)>1: log.warning("choosing random contig from %d choices of reference length in %s" % (len(alt_seqs), coords_debug)) new_seq = random.choice(alt_seqs) else: # no clear winner and all replacement lengths are different from reference length # just choose randomly if len(alt_seqs)>1: log.warning("choosing random contig from %d choices in %s" % (len(alt_seqs), coords_debug)) new_seq = random.choice(alt_seqs) other_seqs = list(s for s in other_seqs if s!=new_seq) return [new_seq] + other_seqs class AmbiguousAlignmentException(Exception): pass class AlignsReader(object): ''' This class assists in the parsing and reading of show-aligns output. ''' def __init__(self, aligns_file, ref_fasta=None): self.aligns_file = aligns_file self.ref_fasta = ref_fasta self.reference_seq = None self.alignments = [] self.seq_ids = [] self._load_align() self._load_fastas() def _load_align(self): with open(self.aligns_file, 'rt') as inf: # read ref_fasta, query_fasta from header header = inf.readline().strip().split() assert len(header) == 2 if self.ref_fasta is None: self.ref_fasta = header[0] # iterate row by row mode = 'start' coords = None seqs = None for line in inf: line = line.rstrip() if not line: pass # empty lines elif not line.strip('='): pass # header and footer of file elif line[0] in (' ', '\t'): pass # describes mismatches in alignment elif line.startswith('--'): if line.startswith('-- Alignments between '): assert mode == 'start' mode = 'between' self.seq_ids = line[22:].split(' and ') assert len(self.seq_ids) == 2 elif line.startswith('-- BEGIN alignment [ '): assert mode == 'between' mode = 'align' coords = list(x.split() for x in line[21:-2].split(' | ')) assert len(coords) == 2 and coords[0][2] == coords[1][2] == '-' assert coords[0][0] == '+1', "error with line: %s" % line seqs = [[], []] align_lines = 0 elif line.startswith('-- END alignment [ '): assert mode == 'align' mode = 'between' new_coords = list(x.split() for x in line[21:-2].split(' | ')) assert coords == new_coords, "error: %s != %s" % (new_coords, coords) assert len(seqs[0]) == len(seqs[1]) seqs = list(''.join(x) for x in seqs) assert len(seqs[0]) == len(seqs[1]) self.alignments.append([coords[0][0], int(coords[0][1]), int(coords[0][3]), coords[1][0], int(coords[1][1]), int(coords[1][3]), seqs[0], seqs[1]]) coords = None seqs = None else: raise AssertionError("file format: line '%s'" % line) else: # read in one line of an alignment assert mode == 'align', "file format: line '%s' before alignment begins" % line seq_str = line.split()[1].upper().replace('.','-') seqs[align_lines % 2].append(seq_str) align_lines += 1 def _load_fastas(self): assert self.ref_fasta and self.seq_ids self.reference_seq = Bio.SeqIO.index(self.ref_fasta, 'fasta')[self.seq_ids[0]] def get_alignments(self): for a in self.alignments: yield a def get_intervals(self): prev = None for a in self.alignments: cur = a[1:3] assert cur[1] >= cur[0] if prev is None: if cur[0] > 1: # emit leading reference sequence before first alignment yield self._dummy_row(1, cur[0]-1, '-') else: assert cur[0] > prev[1], "overlaps not allowed" if cur[0] > prev[1] + 1: # emit gap between alignments yield self._dummy_row(prev[1]+1, cur[0]-1, 'N') # emit actual alignment yield a prev = cur if prev and prev[1] < len(self.reference_seq): # emit trailing reference sequence after last alignment yield self._dummy_row(prev[1]+1, len(self.reference_seq), '-') def _dummy_row(self, start, stop, filler='N'): return ['+1', start, stop, '+1', start, stop, self.get_ref_seq(start, stop), filler * (stop-start+1)] def get_ref_seq(self, start, stop): ''' Retrieve a sub-sequence from the reference (1st) sequence in the alignment using coordinates relative to the reference sequence. No gaps will be emitted. ''' return str(self.reference_seq.seq[start-1:stop]) def retrieve_alts_by_ref(self, start, stop, aln_start=None, aln_stop=None): ''' Retrieve sub-sequence(s) from the alternate (2nd) sequence in the alignment using coordinates relative to the reference sequence. No gaps will be emitted. Required: start-stop interval must be wholly contained within an alignment. ''' # grab the one alignment that contains this window alns = list(a for a in self.alignments if a[1]<=start and a[2]>=stop) if aln_start is not None and aln_stop is not None: # if specified, restrict to a specific alignment that comes from show-tiling # (sometimes show-aligns is more promiscuous than show-tiling) new_alns = [] for a in alns: if a[1] > aln_start or a[2] < aln_stop: log.debug("dropping undesired alignment: %s(%s):%s-%s to %s(%s):%s-%s (%s:%s-%s requested)", self.seq_ids[0], a[0], a[1], a[2], self.seq_ids[1], a[3], a[4], a[5], self.seq_ids[0], aln_start, aln_stop) else: new_alns.append(a) alns = new_alns if len(alns) != 1: log.warning("invalid %s:%d-%d -> %s specified, %d alignments found that contain it", self.seq_ids[0], start, stop, self.seq_ids[1], len(alns)) for aln in alns: log.debug("alignment: %s", str(aln[:6])) return [self._aln_to_alt_seq(aln, start, stop) for aln in alns] def _aln_to_alt_seq(self, aln, start, stop): """Given an alignment of a contig to ref, return the contig sequence aligned to a given stretch of ref""" ref_l, ref_r, ref_seq, alt_seq = (aln[1], aln[2], aln[-2], aln[-1]) # convert desired start/stop relative to this reference window # such that 0 <= start <= stop <= ref_r-ref_l+1 aln_start = start - ref_l aln_stop = stop - ref_l # travel down alignment until we've reached the left edge # (because of gaps, you must check each position one by one) # end loop when ref_seq[:i_left] contains {aln_start} bases n_ref_bases = 0 i_left = 0 while n_ref_bases < aln_start: if ref_seq[i_left] != '-': n_ref_bases += 1 i_left += 1 # travel down alignment until we've reached the right edge # (because of gaps, you must check each position one by one) # end loop when ref_seq[:i_right] contains {aln_stop} bases i_right = i_left while n_ref_bases < aln_stop: if ref_seq[i_right] != '-': n_ref_bases += 1 i_right += 1 # consume and include any trailing gaps while i_right < len(ref_seq) and ref_seq[i_right] == '-': i_right += 1 # grab the alternate sequence and strip gaps return alt_seq[i_left:i_right+1].replace('-','') ================================================ FILE: src/viral_ngs/assemble/muscle.py ================================================ ''' The MUSCLE aligner http://www.drive5.com/muscle ''' import viral_ngs.core import viral_ngs.core.file import viral_ngs.core.misc import os import os.path import shutil import subprocess import logging TOOL_NAME = "muscle" _log = logging.getLogger(__name__) class MuscleTool(viral_ngs.core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [viral_ngs.core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(MuscleTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-version']).decode('UTF-8').strip().split()[1] # pylint: disable=W0221 def execute( self, inFasta, outFasta, maxiters=None, maxhours=None, fmt='fasta', diags=None, quiet=True, logFile=None ): tool_cmd = [self.install_and_get_path(), '-in', inFasta, '-out', outFasta] if fmt in ('html', 'msf', 'clw', 'clwstrict'): tool_cmd.append('-' + fmt) else: if fmt != 'fasta': raise Exception() if quiet: tool_cmd.append('-quiet') if diags: tool_cmd.append('-diags') if maxiters: tool_cmd.extend(('-maxiters', str(maxiters))) if maxhours: tool_cmd.extend(('-maxhours', str(maxhours))) if logFile: tool_cmd.extend(('-log', logFile)) _log.debug(' '.join(tool_cmd)) subprocess.check_call(tool_cmd) # pylint: enable=W0221 ================================================ FILE: src/viral_ngs/assemble/rasusa.py ================================================ ''' Rasusa — randomly subsample sequencing reads or alignments to a specified coverage depth. https://github.com/mbhall88/rasusa ''' import logging import shutil import subprocess from ..core import Tool, PrexistingUnixCommand _log = logging.getLogger(__name__) TOOL_NAME = 'rasusa' class RasusaTool(Tool): def __init__(self): install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] Tool.__init__(self, install_methods=install_methods) def downsample_bam(self, inBam, outBam, coverage, seed=None): """Downsample aligned reads in a BAM to a target coverage depth using ``rasusa aln``. The input BAM must be coordinate-sorted. The output BAM is **not** guaranteed to be sorted — the caller is responsible for sorting and indexing if downstream tools require it. Args: inBam: Input BAM file (coordinate-sorted). outBam: Output BAM file path. coverage: Target coverage depth (integer). seed: Random seed for reproducibility (optional). """ tool_cmd = [ self.install_and_get_path(), 'aln', '--coverage', str(coverage), '-o', outBam, inBam, ] if seed is not None: tool_cmd.extend(['--seed', str(seed)]) _log.debug(' '.join(tool_cmd)) subprocess.check_call(tool_cmd) ================================================ FILE: src/viral_ngs/assemble/skani.py ================================================ ''' SKANI - accurate, fast nucleotide identity calculation for MAGs and databases https://github.com/bluenote-1577/skani ''' __author__ = "dpark@broadinstitute.org" import logging import viral_ngs.core import viral_ngs.core.file import viral_ngs.core.misc import csv import os import os.path import shutil import subprocess import Bio.SeqIO TOOL_NAME = "skani" _log = logging.getLogger(__name__) # Standard output header for skani dist command SKANI_DIST_HEADER = ['Ref_file','Query_file','ANI','Align_fraction_ref','Align_fraction_query', 'Ref_name','Query_name','Num_ref_contigs','Num_query_contigs', 'ANI_5_percentile','ANI_95_percentile','Standard_deviation', 'Ref_90_ctg_len','Ref_50_ctg_len','Ref_10_ctg_len', 'Query_90_ctg_len','Query_50_ctg_len','Query_10_ctg_len', 'Avg_chain_len','Total_bases_covered'] class UndirectedGraph: ''' Simple utility class for finding clusters from pairwise relationships ''' def __init__(self): self.edges = {} def add_node(self, node): self.edges.setdefault(node, set()) def add_edge(self, node1, node2): self.edges.setdefault(node1, set()).add(node2) self.edges.setdefault(node2, set()).add(node1) def _dfs(self, node, visited): visited.add(node) cluster = set() cluster.add(node) for neighbor in self.edges[node]: if neighbor not in visited: cluster.update(self._dfs(neighbor, visited)) return cluster def get_clusters(self): visited = set() clusters = [] for node in self.edges.keys(): if node not in visited: clusters.append(self._dfs(node, visited)) return clusters class SkaniTool(viral_ngs.core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [viral_ngs.core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(SkaniTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '--version']).decode('UTF-8').strip().split()[1] def _is_fasta_basically_empty(self, inFasta, min_length=500): ''' Check if a fasta file contains no sequences longer than min_length. If the fasta contains only sequences < min_length, return True ''' with open(inFasta, 'r') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): if len(seq.seq.replace("-","").replace("N","")) >= min_length: return False return True def _sort_skani_table_by_product(self, in_tsv, out_tsv): ''' Sort the skani output tsv by the product of ANI and Total_bases_covered ''' with open(in_tsv, 'r') as inf: reader = csv.DictReader(inf, delimiter='\t') sorted_rows = sorted(reader, key=lambda row: float(row['ANI']) * float(row['Total_bases_covered']), reverse=True) fieldnames = reader.fieldnames # Capture while file is still open # Handle empty file case (no header, no data) - write header-only output if fieldnames is None: with open(out_tsv, 'w') as outf: outf.write('\t'.join(SKANI_DIST_HEADER) + '\n') return with open(out_tsv, 'w') as outf: writer = csv.DictWriter(outf, fieldnames=fieldnames, delimiter='\t', dialect=csv.unix_dialect, quoting=csv.QUOTE_MINIMAL) writer.writeheader() writer.writerows(sorted_rows) def execute(self, subcommand, args, outfile, threads=None): ''' generic execution of skani ''' # build the skani command tool_cmd = [self.install_and_get_path(), subcommand] tool_cmd.extend(map(str, args)) tool_cmd.extend(["-t", "{}".format(viral_ngs.core.misc.sanitize_thread_count(threads))]) # run the command _log.debug(' '.join(tool_cmd) + ' > ' + outfile) with open(outfile, 'w') as outf: viral_ngs.core.misc.run_and_save(tool_cmd, outf=outf) def triangle(self, ref_fastas, outfile_ani, other_args = (), threads=None): ''' skani triangle computes an all-to-all ANI distance matrix for a set of sequences ''' self.execute('triangle', list(ref_fastas) + list(other_args), outfile_ani, threads=threads) def dist(self, query_fasta, ref_fastas, outfile, other_args = (), threads=None): ''' skani dist computes ANI distance between a specified query set of sequences (MAGs) and reference genomes (database) ''' if self._is_fasta_basically_empty(query_fasta): _log.warning("Query fasta file is empty or contains only very short sequences. Skipping skani dist (which will fail in this scenario).") with open(outfile, 'w') as outf: outf.write('\t'.join(SKANI_DIST_HEADER) + '\n') else: self.execute('dist', ['-q', query_fasta, '-r'] + list(ref_fastas) + list(other_args), outfile, threads=threads) def find_reference_clusters(self, ref_fastas, m=15, s=50, c=10, min_af=15, other_args = ('--no-learned-ani', '--robust', '--detailed', '--ci', '--sparse'), threads=None): ''' use skani triangle to define clusters of highly-related genomes (default settings here are for viral genomes) ''' g = UndirectedGraph() for ref_fasta in ref_fastas: g.add_node(ref_fasta) with viral_ngs.core.file.tempfname('.skani_matrix.ani') as tmp_matrix_ani: # run skani triangle self.triangle(ref_fastas, tmp_matrix_ani, ['-m', m, '-c', c, '-s', s, '--min-af', min_af] + list(other_args), threads=threads) # parse the skani triangle results and define clusters with open(tmp_matrix_ani, 'r') as inf: for row in csv.DictReader(inf, delimiter='\t'): g.add_edge(row['Ref_file'], row['Query_file']) return g.get_clusters() def find_closest_reference(self, contigs_fasta, ref_fastas, out_file, m=50, s=50, c=20, min_af=15, n=None, other_args = ('--no-learned-ani', '--robust', '--detailed', '--ci', '--no-marker-index'), threads=None): ''' use skani dist to find the closest reference genome for each contig (default settings here are for viral genomes) ''' max_hits_args = [] if n is None else ['-n', n] with viral_ngs.core.file.tempfname('.skani_dist.tsv') as tmp_tsv: self.dist(contigs_fasta, ref_fastas, tmp_tsv, ['-m', m, '-c', c, '-s', s, '--min-af', min_af] + max_hits_args + list(other_args), threads=threads) self._sort_skani_table_by_product(tmp_tsv, out_file) with open(out_file, 'r') as inf: top_row = None for row in csv.DictReader(inf, delimiter='\t'): top_row = row break return (top_row['Ref_file'], top_row['ANI'], top_row['Align_fraction_ref'], top_row['Total_bases_covered']) if top_row is not None else None ================================================ FILE: src/viral_ngs/assemble/spades.py ================================================ ''' Tool wrapper for SPAdes, St. Petersburg Assembler ( http://cab.spbu.ru/software/spades/ ) ''' import logging import os import os.path import subprocess import shutil import random import shlex import tempfile import Bio.SeqIO import viral_ngs.core import viral_ngs.core.samtools import viral_ngs.core.picard import viral_ngs.core.file import viral_ngs.core.misc TOOL_NAME = 'spades.py' log = logging.getLogger(__name__) class SpadesTool(viral_ngs.core.Tool): '''Tool wrapper for SPAdes tool (St. Petersburg Assembler)''' def __init__(self, install_methods=None): if install_methods is None: install_methods = [viral_ngs.core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(SpadesTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '--version']).decode('UTF-8').strip().split()[1] def execute(self, args): # pylint: disable=W0221 tool_cmd = [self.install_and_get_path()] + list(map(str, args)) log.debug(' '.join(tool_cmd)) subprocess.check_call(tool_cmd) def assemble(self, reads_fwd, reads_bwd, contigs_out, reads_unpaired=None, contigs_trusted=None, contigs_untrusted=None, kmer_sizes=None, always_succeed=True, filter_contigs=False, min_contig_len=0, mem_limit_gb=8, threads=None, spades_opts=''): '''Assemble contigs from RNA-seq reads and (optionally) pre-existing contigs. Inputs: Required: reads_fwd, reads_bwd (fasta/q): paired reads Optional: reads_unpaired (fasta/q): optionally, additional unpaired reads contigs_trusted (fasta/q): optionally, already-assembled contigs of high quality contigs_untrusted (fasta/q): optionally, already-assembled contigs of average quality Params: kmer_sizes: if given, use these comma-separated ascending kmer sizes--all values must be odd and < 127. kmer size of 0 or None means use size auto-selected by SPAdes based on read length. always_succeed: if True, if spades fails with an error, pretend it just produced no contigs filter_contigs: if True, outputs only "long and reliable transcripts with rather high expression" (per SPAdes docs) min_contig_len: drop contigs shorter than this many bp mem_limit_gb: max memory to use, in gigabytes threads: number of threads to use spades_opts: additional options to pass to spades Outputs: contigs_out: assembled contigs in fasta format. Note that, since we use the RNA-seq assembly mode, for some genome regions we may get several contigs representing alternative transcripts. Fasta record name of each contig indicates its length, coverage, and the group of alternative transcripts to which it belongs. See details at http://cab.spbu.ru/files/release3.11.1/rnaspades_manual.html#sec2.4 . ''' threads = viral_ngs.core.misc.sanitize_thread_count(threads) viral_ngs.core.file.make_empty(contigs_out) contigs_cumul_count = 0 if ((reads_fwd and reads_bwd and os.path.getsize(reads_fwd) > 0 and os.path.getsize(reads_bwd) > 0) or (reads_unpaired and os.path.getsize(reads_unpaired) > 0)): with viral_ngs.core.file.tmp_dir('_spades') as spades_dir: log.debug('spades_dir=' + spades_dir) args = [] if reads_fwd and reads_bwd and os.path.getsize(reads_fwd) > 0 and os.path.getsize(reads_bwd) > 0: args += ['-1', reads_fwd, '-2', reads_bwd ] if reads_unpaired and os.path.getsize(reads_unpaired) > 0: args += [ '--s1', reads_unpaired ] if contigs_trusted: args += [ '--trusted-contigs', contigs_trusted ] if contigs_untrusted: args += [ '--untrusted-contigs', contigs_untrusted ] if kmer_sizes: args += [ '-k', kmer_sizes ] if spades_opts: args += shlex.split(spades_opts) args += [ '-m' + str(mem_limit_gb), '-t', str(threads), '-o', spades_dir ] transcripts_fname = os.path.join(spades_dir, ('hard_filtered_' if filter_contigs else '') + 'contigs.fasta') try: self.execute(args=args) except Exception as e: if always_succeed: log.warning('SPAdes failed: {}'.format(e)) viral_ngs.core.file.make_empty(transcripts_fname) else: raise # work around the bug that spades may succeed yet not create the contigs.fasta file if not os.path.isfile(transcripts_fname): msg = 'SPAdes failed to make contigs.fasta' if always_succeed: log.warning(msg) viral_ngs.core.file.make_empty(transcripts_fname) else: raise RuntimeError(msg) if min_contig_len: transcripts = Bio.SeqIO.parse(transcripts_fname, 'fasta') transcripts_sans_short = [r for r in transcripts if len(r.seq) >= min_contig_len] transcripts_fname = os.path.join(spades_dir, 'contigs_over_{}bp.fasta'.format(min_contig_len)) Bio.SeqIO.write(transcripts_sans_short, transcripts_fname, 'fasta') contigs_cumul = os.path.join(spades_dir, 'contigs_cumul.{}.fasta'.format(contigs_cumul_count)) contigs_cumul_count += 1 viral_ngs.core.file.concat(inputFilePaths=(contigs_out, transcripts_fname), outputFilePath=contigs_cumul, append=True) shutil.copyfile(contigs_cumul, contigs_out) # end: with viral_ngs.core.file.tmp_dir('_spades') as spades_dir # if input non-empty # end: def assemble(self, reads_fwd, reads_bwd, contigs_out, reads_unpaired=None, contigs_trusted=None, ...) # end: class SpadesTool(viral_ngs.core.Tool) ================================================ FILE: src/viral_ngs/assemble/vcf.py ================================================ '''This gives a number of useful quick methods for dealing with VCF files. ''' __author__ = "dpark@broadinstitute.org" __version__ = "PLACEHOLDER" __date__ = "PLACEHOLDER" import logging import re import pysam import viral_ngs.core.file import viral_ngs.core.misc log = logging.getLogger(__name__) def make_intervals(i, n, fasta, chr_prefix='', verbose=False): ''' Divide a sorted genome into n equally sized parts and return the i'th part. We will return a list of intervals: chr, start, stop. It may contain multiple chromosomes in order to fill out a total length equal to the other parts. Each part will be adjacent and non-overlapping with the next part. i must be a number from 1 to n. ''' assert 1 <= i <= n # read genome dict file tot = 0 chrlens = [] for c, c_len in get_chrlens(fasta): if c.startswith(chr_prefix): chrlens.append((c, c_len, tot)) tot += c_len # define our chunk by gpos: part_size = tot // n g_start = 1 + part_size * (i - 1) g_stop = part_size * i if i == n: g_stop = tot # find the genomic intervals that correspond to our gpos window out = [] for c, c_len, c_g_start in chrlens: c_g_stop = c_g_start + c_len c_g_start += 1 if c_g_stop >= g_start and c_g_start <= g_stop: start = max(g_start, c_g_start) - c_g_start + 1 stop = min(g_stop, c_g_stop) - c_g_start + 1 out.append((c, start, stop)) if verbose: log.info( "Dividing the %d bp genome into %d chunks of %d bp each. The %dth chunk contains the following %d intervals: %s", tot, n, part_size, i, len(out), ', '.join(["%s:%d-%d" % x for x in out])) return out def sliding_windows(fasta, width, offset, chr_prefix=''): ''' Divide a genome into sliding windows and return as an iterator of intervals (chr, start, stop). The windows are of fixed width (except maybe the last window on each chromosome) and may overlap (offsetwidth). ''' assert width > 0 and offset > 0 for c, c_len in get_chrlens(fasta): if c.startswith(chr_prefix): start = 1 while start <= c_len: stop = min(c_len, start + width - 1) yield (c, start, stop) start += offset class GenomePosition(object): ''' Provide a mapping from chr:pos to genomic position. Read chromosome lengths and order from either a Picard/GATK-index for a FASTA file (a .dict file) or from a VCF header. ''' def __init__(self, seqDb): self.gpos_map = {} self.clen_map = {} self.chrs = [] totlen = 0 for c, clen in get_chrlens(seqDb): self.chrs.append((c, clen)) self.gpos_map[c] = totlen self.clen_map[c] = clen totlen += clen self.total = totlen def get_gpos(self, c, p): assert isinstance(p, int) assert c in self.gpos_map assert 1 <= p <= self.clen_map[c] return p + self.gpos_map[c] def get_chr_pos(self, gpos): assert isinstance(gpos, int) assert 1 <= gpos <= self.total totlen = 0 for c, clen in self.chrs: if gpos <= totlen + clen: break totlen += clen return (c, gpos - totlen) def parse_contig_header(line): '''Parse a VCF ##contig header line and return (contig_id, length). Handles headers with multiple attributes like: ##contig= Raises ValueError if the line has no length= attribute. ''' if not (line.startswith('##contig=')): raise ValueError("not a valid ##contig header: %s" % line) inner = line[13:-1] contig_id = inner.split(',')[0] m = re.search(r'length=(\d+)', inner) if not m: raise ValueError("##contig header missing length= attribute: %s" % line) return (contig_id, int(m.group(1))) def get_chrlens(inFile): ''' Read chromosome lengths and order from either a Picard/GATK-index for a FASTA file (a .dict file) or from "contig" rows in the VCF header. ''' chrlens = [] if hasattr(inFile, 'chrlens'): chrlens = inFile.chrlens() else: if inFile.endswith('.fasta'): inFile = inFile[:-len('.fasta')] + '.dict' elif inFile.endswith('.fa'): inFile = inFile[:-len('.fa')] + '.dict' if inFile.endswith('.dict'): with open(inFile, 'rt') as inf: for line in inf: row = line.rstrip('\n').split('\t') if row[0] == '@SQ': assert row[1].startswith('SN:') and row[2].startswith('LN:') c = row[1][3:] c_len = int(row[2][3:]) chrlens.append((c, c_len)) elif inFile.endswith('.vcf') or inFile.endswith('.vcf.gz'): with viral_ngs.core.file.open_or_gzopen(inFile, 'rt') as inf: for line in inf: line = line.rstrip('\n') if line.startswith('##contig='): chrlens.append(parse_contig_header(line)) elif line.startswith('#CHROM'): break else: raise AssertionError("unrecognized file type %s" % inFile) assert chrlens, "no sequence data found in %s % inFile" return chrlens def calc_maf(genos, ancestral=None, ploidy=1): # get list of alleles if ploidy == 1: alleles = genos else: alleles = [] for g in genos: g = g.split('/') assert len(g) == ploidy alleles += g # count up out = {'n_tot': len(alleles)} acounts = viral_ngs.core.misc.histogram(alleles) alist = sorted([(n, a) for a, n in acounts.items()]) # daf if ancestral is not None: out['a_ancestral'] = ancestral derived = list(sorted([a for a in acounts.keys() if a != ancestral])) out['a_derived'] = ','.join(derived) out['dac'] = sum(acounts[a] for a in derived) out['daf'] = out['n_tot'] and float(out['dac']) / out['n_tot'] or None # maf if out['n_tot']: out['a_major'] = alist[-1][1] out['a_minor'] = ','.join([a for n, a in alist[:-1]]) out['mac'] = out['n_tot'] - alist[-1][0] out['maf'] = float(out['mac']) / out['n_tot'] else: out['a_major'] = None out['a_minor'] = None out['mac'] = None out['maf'] = None return out class TabixReader(pysam.TabixFile): ''' A wrapper around pysam.TabixFile that provides a context and allows us to query using 1-based coordinates. We should request upstream to the Pysam people to implement methods __reversed__() and __len__() in pysam.TabixIterator. __getitem__ could be a bonus, but prob unnecessary. ''' def __init__(self, inFile, parser=pysam.asTuple()): # inFile is passed in but is never used, and yet the TabixReader works. How?! # This inFile magic is because Tabixfile is a Cython object that uses def __cinit__ # rather than def __init__; the former is called automatically exactly once for the # base class prior to any use of __init__. Use of subsequent __init__ should obey # normal inheritance rules (assuming inheritance from object and it's not an old-style class). # So __cinit__ sets the input file, and then our __init__ (which doesn't override a base method) # is called and sets the parser. # This could all break in the future if pysam moves away from __cinit__, but doing so would # reduce performance and so it seems unlikely. # See: # https://github.com/cython/cython/blob/master/docs/src/userguide/special_methods.rst#id19 # https://github.com/pysam-developers/pysam/blob/master/pysam/libctabix.pyx#L331 #super(TabixReader, self).__init__(inFile, parser=parser) self.parser = parser def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() # pylint: disable=E1101 return 0 # close() is being inherited from pysam.Tabixfile, why call it ourselves? # def close(self): # super(TabixReader, self).close() def chroms(self): return self.contigs # pylint: disable=E1101 def get(self, chrom=None, start=None, stop=None, region=None): if start is not None: start -= 1 return self.fetch(reference=chrom, start=start, end=stop, region=region, parser=self.parser) # pylint: disable=E1101 def get_pos_from_vcf_record(vcfrec): # new versions of pysam return a zero-based position here return vcfrec.pos + 1 def bytes_to_string(o): if isinstance(o, bytes): o = o.decode('utf-8') return o class VcfReader(TabixReader): ''' Same as TabixReader with a few more perks for VCF files: - emit results parsed as pysam VCF rows - provide self.chrlens(), a dict mapping chrom name to chrom length - provide self.samples(), a list of sample names in order of appearance - provide get_range(c,start,stop) and get_snp_genos(c,pos) ''' def __init__(self, inFile, ploidy=1, parser=pysam.asVCF()): # using old-style class superclass calling here # since TabixReader is derived from pysam.TabixFile # which is itself an old-style class (due to Cython version?) TabixReader.__init__(self, inFile, parser=parser) # when pysam uses new-style classes, we can replace with: #super(VcfReader, self).__init__(inFile, parser=parser) assert ploidy in (1, 2) self.ploidy = ploidy self.clens = [] self.sample_names = None for line in self.header: # pylint: disable=E1101 line = bytes_to_string(line) if line.startswith('##contig='): self.clens.append(parse_contig_header(line)) elif line.startswith('#CHROM'): row = line.split('\t') self.sample_names = row[9:] self.clens = dict(self.clens) assert self.sample_names def samples(self): return self.sample_names def chrlens(self): return self.clens def get_positions(self, c=None, start=None, stop=None, region=None): for snp in self.get(c, start, stop, region): yield (bytes_to_string(snp.contig), get_pos_from_vcf_record(snp), get_pos_from_vcf_record(snp) + len(snp.ref) - 1) def get_range(self, c=None, start=None, stop=None, region=None, as_strings=True, more=False): ''' Read a VCF file (optionally just a piece of it) and return contents as an iterator with parsed contents. Each row is returned as a 4-tuple: 1: chr 2: pos (int) 3: list of allele strings (in order) 4: list of genotypes as 2-tuples: haploid: (sample, allele) diploid: (sample, [allele, allele]) If as_strings, the alleles will be actual alleles. Otherwise, alleles will be integers. If more is true, a fifth column will be emitted with the pysam VCF object. ''' for snp in self.get(c, start, stop, region): alleles = [bytes_to_string(snp.ref)] + bytes_to_string(snp.alt).split(',') alleles = [a for a in alleles if a != '.'] if self.ploidy == 1: genos = [(self.sample_names[i], int(bytes_to_string(snp[i])[0])) for i in range(len(self.sample_names)) if bytes_to_string(snp[i])[0] != '.'] if as_strings: genos = [(s, alleles[a]) for s, a in genos] else: genos = [(self.sample_names[i], [int(bytes_to_string(snp[i])[j * 2]) for j in range(self.ploidy)]) for i in range(len(self.sample_names)) if bytes_to_string(snp[i])[0] != '.'] if as_strings: genos = [(s, [alleles[a] for a in g]) for s, g in genos] if more: yield (bytes_to_string(snp.contig), get_pos_from_vcf_record(snp), alleles, genos, snp) else: yield (bytes_to_string(snp.contig), get_pos_from_vcf_record(snp), alleles, genos) def get_snp_genos(self, c, p, as_strings=True): ''' Read a single position from a VCF file and return the genotypes as a sample -> allele map. If there is not exactly one matching row in the VCF file at this position (if there are none or multiple) then we return an empty map: {}. ''' snps = [x for x in self.get_range(c, p, p, as_strings=as_strings)] return len(snps) == 1 and dict(snps[0][3]) or {} def getFullSequences(self, c, start, stop, samples, na='-', refSeq=None, refInvariantsOnly=False, ignoreIndels=False): ''' chr - chromosome name start - start position stop - default = start samples is a list of samples. None can be used for the ref sample. if refSeq is a string with length = stop-start+1, then use this as the base sequence for missing data, otherwise, use the na string. if refInvariantsOnly is True, refSeq is only used for invariant sites or sites with no entries for any samples. if False, refSeq is used for all missing data. ''' assert 1 <= start <= stop assert len(na) == 1 # get all the VCF records vcf_records = [(p - start, alleles, dict(genos)) for _, p, alleles, genos in self.get_range(c, start, stop, as_strings=True) if not ignoreIndels or set(map(len, alleles)) == set([1])] # Construct a list called "seq" into which we will replace alleles as # we discover them. This is a list, not a string, because each position # might be replaced with an arbitrary length string (deletions will be # empty strings, insertions will be strings > length 1). This all gets # converted to a string at the end. if refSeq: # assume refSeq alleles as a baseline for missing data assert len(refSeq) == (stop - start + 1) seq = list(refSeq) if refInvariantsOnly: # but don't assume refSeq alleles for any known variant sites for i, alleles, genos in vcf_records: if len(set(genos[s] for s in samples if s in genos)) > 1: for j in range(len(alleles[0])): if i + j < len(seq): seq[i + j] = na else: # assume nothing when data is missing seq = list(na * (stop - start + 1)) for sample in samples: assert sample is None or sample in self.samples() # Make copy of reference sequence newseq = [s for s in seq] # Replace alleles, one site at a time. replaceAlleles(sample, newseq, vcf_records) # Convert list back to string. This string may or may not be the same # length as the original (if ignoreIndels is True, it must be the same # length as the original). newseq = ''.join(newseq) assert len(newseq) == (stop - start + 1) or not ignoreIndels yield (sample, newseq) def replaceAlleles(sample, seq, vcf_records): ''' Replace alleles, one site at a time. ''' for i, alleles, genos in vcf_records: # set allele to the DNA sequence we will replace at positions i through i+len(refallele)-1 if sample is None: # caller is asking for the reference sample's sequence allele = alleles[0] alleles = [allele] else: # caller is asking for a normal sample samp_geno = genos.get(sample) if not samp_geno: continue if isinstance(samp_geno, list): log.warning( "TO DO: add code to turn hets into IUPAC ambiguity codes (%s %s = %s).", i, sample, '/'.join(samp_geno)) continue allele = samp_geno # replace portion of sequence with allele # NEED BUGFIXES HERE for overlapping VCF records if allele is None: # nothing here ... is this even possible anymore? pass elif len(alleles[0]) == 1: # the most common cases: SNP, novar, or indel replacing one ref base (with zero or more bases) seq[i] = allele else: # most complicated case: something replacing multiple ref bases # TODO: beware--this is all untested! for j in range(max(len(alleles[0]), len(allele))): if i + j < len(seq): if j < len(allele): if j == len(alleles[0]) - 1: # new allele is >= ref length, fill out the rest of the bases seq[i + j] = allele[j:] else: seq[i + j] = allele[j] else: # new allele is shorter than ref, so delete extra bases seq[i + j] = '' return seq ================================================ FILE: src/viral_ngs/assemble/wgsim.py ================================================ ''' WGSIM - read simulator for next-generation sequencing https://github.com/lh3/wgsim ''' __author__ = "dpark@broadinstitute.org" import logging import math import viral_ngs.core import viral_ngs.core.picard import viral_ngs.core.file import viral_ngs.core.misc import os import os.path import shutil import subprocess import Bio.SeqIO import Bio.Seq TOOL_NAME = "wgsim" _log = logging.getLogger(__name__) class WgsimTool(viral_ngs.core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [viral_ngs.core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(WgsimTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): # wgsim doesn't have a clean version flag, parse from help output try: output = subprocess.check_output([self.install_and_get_path()], stderr=subprocess.STDOUT).decode('UTF-8') # Look for "Version:" in output for line in output.split('\n'): if 'Version:' in line: self.tool_version = line.split('Version:')[1].strip() return self.tool_version = 'unknown' except subprocess.CalledProcessError as e: # wgsim returns non-zero when called with no args, but outputs help output = e.output.decode('UTF-8') for line in output.split('\n'): if 'Version:' in line: self.tool_version = line.split('Version:')[1].strip() return self.tool_version = 'unknown' def slice_fasta(self, in_fasta, out_fasta, seq_id=None, start=None, end=None): ''' Slice a fasta file to extract a specific sequence and optional coordinate range. Args: in_fasta: Input fasta file out_fasta: Output fasta file with sliced sequence seq_id: Sequence ID to extract (default: None). If None, all sequences are copied. start: Start coordinate (1-based, inclusive). None means start of sequence. end: End coordinate (1-based, inclusive). None means end of sequence. If all optional parameters are None, this is a no-op (output identical to input). ''' # If no filtering/slicing requested, just copy the file if seq_id is None and start is None and end is None: shutil.copyfile(in_fasta, out_fasta) return found = False with open(out_fasta, 'w') as outf: for record in Bio.SeqIO.parse(in_fasta, 'fasta'): if seq_id is None or record.id == seq_id: found = True # Convert to 0-based for python slicing start_idx = (start - 1) if start is not None else None end_idx = end if end is not None else None sliced_seq = record.seq[start_idx:end_idx] sliced_record = Bio.SeqRecord.SeqRecord( sliced_seq, id=record.id, description=record.description ) Bio.SeqIO.write(sliced_record, outf, 'fasta') if seq_id is not None: break if seq_id is not None and not found: raise ValueError(f"Sequence ID '{seq_id}' not found in {in_fasta}") def coverage_to_read_pairs(self, coverage, sequence_length, read_length): ''' Convert coverage depth to number of read pairs needed. Args: coverage: Desired coverage depth (e.g., 20 for 20X) sequence_length: Length of the sequence to cover read_length: Length of each read Returns: Number of read pairs (rounded up to nearest integer) ''' # Each read pair contributes 2 * read_length bases total_bases_needed = coverage * sequence_length read_pairs = total_bases_needed / (2 * read_length) return math.ceil(read_pairs) def fastqs_to_bam(self, in_fastq1, in_fastq2, out_bam, sample_name='sample', library_name='lib1', platform='ILLUMINA', platform_unit='wgsim'): ''' Convert paired fastq files to unaligned BAM with read group headers. Args: in_fastq1: Input fastq file for read 1 in_fastq2: Input fastq file for read 2 out_bam: Output unaligned BAM file sample_name: Sample name for read group library_name: Library name for read group platform: Platform for read group (default: ILLUMINA) platform_unit: Platform unit for read group (default: wgsim) ''' picard = viral_ngs.core.picard.FastqToSamTool() picard.execute( in_fastq1, in_fastq2, sample_name, out_bam, picardOptions=[ 'LIBRARY_NAME=' + library_name, 'PLATFORM=' + platform, 'PLATFORM_UNIT=' + platform_unit ] ) def execute(self, in_fasta, out_fastq1, out_fastq2, read_length=150, outer_distance=500, error_rate=0.02, mutation_rate=0.001, indel_fraction=0.15, indel_extended_prob=0.3, num_read_pairs=None, random_seed=None, other_opts=()): ''' Execute wgsim to generate simulated paired-end reads. Args: in_fasta: Input reference fasta file out_fastq1: Output fastq file for read 1 out_fastq2: Output fastq file for read 2 read_length: Length of each read (default: 150 for Illumina) outer_distance: Outer distance between the two ends (default: 500) error_rate: Base error rate (default: 0.02) mutation_rate: Rate of mutations (default: 0.001) indel_fraction: Fraction of indels (default: 0.15) indel_extended_prob: Probability an indel is extended (default: 0.3) num_read_pairs: Number of read pairs to generate (required) random_seed: Random seed for reproducibility other_opts: Additional command line options ''' if num_read_pairs is None: raise ValueError("num_read_pairs must be specified") tool_cmd = [ self.install_and_get_path(), '-e', str(error_rate), '-d', str(outer_distance), '-N', str(num_read_pairs), '-1', str(read_length), '-2', str(read_length), '-r', str(mutation_rate), '-R', str(indel_fraction), '-X', str(indel_extended_prob), ] if random_seed is not None: tool_cmd.extend(['-S', str(random_seed)]) tool_cmd.extend(other_opts) tool_cmd.extend([in_fasta, out_fastq1, out_fastq2]) _log.debug('running wgsim: ' + ' '.join(tool_cmd)) subprocess.check_call(tool_cmd) ================================================ FILE: src/viral_ngs/assembly.py ================================================ #!/usr/bin/env python3 ''' This script contains a number of utilities for viral sequence assembly from NGS reads. Primarily used for Lassa and Ebola virus analysis in the Sabeti Lab / Broad Institute Viral Genomics. ''' __author__ = "dpark@broadinstitute.org, rsealfon@broadinstitute.org" __commands__ = [] # built-ins import argparse import logging import random import os import os.path import shutil import subprocess import functools import operator import concurrent.futures import csv import itertools from collections import OrderedDict, defaultdict # from viral_ngs.core import viral_ngs.core.cmd import viral_ngs.core.file import viral_ngs.core.misc import viral_ngs.read_utils import viral_ngs.core.picard import viral_ngs.core.samtools import viral_ngs.core.novoalign import viral_ngs.assemble.freebayes import viral_ngs.assemble.rasusa # intra-module (assembly tool wrappers) import viral_ngs.assemble.vcf import viral_ngs.assemble.spades import viral_ngs.assemble.mafft import viral_ngs.assemble.mummer import viral_ngs.assemble.muscle import viral_ngs.assemble.gap2seq import viral_ngs.assemble.skani import viral_ngs.assemble.wgsim # third-party import numpy import Bio.AlignIO import Bio.SeqIO import Bio.Data.IUPACData log = logging.getLogger(__name__) class DenovoAssemblyError(RuntimeError): '''Indicates a failure of the de novo assembly step. Can indicate an internal error in the assembler, but also insufficient input data (for assemblers which cannot report that condition separately).''' def __init__(self, reason): super(DenovoAssemblyError, self).__init__(reason) def assemble_spades( in_bam, clip_db, out_fasta, spades_opts='--rnaviral', contigs_trusted=None, contigs_untrusted=None, filter_contigs=False, min_contig_len=0, kmer_sizes=None, n_reads=10000000, outReads=None, always_succeed=False, mem_limit_gb=8, threads=None, ): '''De novo RNA-seq assembly with the SPAdes assembler. ''' if outReads: trim_rmdup_bam = outReads else: trim_rmdup_bam = viral_ngs.core.file.mkstempfname('.subsamp.bam') viral_ngs.read_utils.trim_rmdup_subsamp_reads(in_bam, clip_db, trim_rmdup_bam, n_reads=n_reads, trim_opts=dict(maxinfo_target_length=35, maxinfo_strictness=.2)) with viral_ngs.core.picard.SamToFastqTool().execute_tmp(trim_rmdup_bam, includeUnpaired=True, illuminaClipping=True ) as (reads_fwd, reads_bwd, reads_unpaired): try: viral_ngs.assemble.spades.SpadesTool().assemble(reads_fwd=reads_fwd, reads_bwd=reads_bwd, reads_unpaired=reads_unpaired, contigs_untrusted=contigs_untrusted, contigs_trusted=contigs_trusted, contigs_out=out_fasta, filter_contigs=filter_contigs, min_contig_len=min_contig_len, kmer_sizes=kmer_sizes, always_succeed=always_succeed, spades_opts=spades_opts, mem_limit_gb=mem_limit_gb, threads=threads) except subprocess.CalledProcessError as e: raise DenovoAssemblyError('SPAdes assembler failed: ' + str(e)) if not outReads: os.unlink(trim_rmdup_bam) def parser_assemble_spades(parser=argparse.ArgumentParser()): parser.add_argument('in_bam', help='Input unaligned reads, BAM format. May include both paired and unpaired reads.') parser.add_argument('clip_db', help='Trimmomatic clip db') parser.add_argument('out_fasta', help='Output assembled contigs. Note that, since this is RNA-seq assembly, for each assembled genomic region there may be several contigs representing different variants of that region.') parser.add_argument('--contigsTrusted', dest='contigs_trusted', help='Optional input contigs of high quality, previously assembled from the same sample') parser.add_argument('--contigsUntrusted', dest='contigs_untrusted', help='Optional input contigs of high medium quality, previously assembled from the same sample') parser.add_argument('--nReads', dest='n_reads', type=int, default=10000000, help='Before assembly, subsample the reads to at most this many') parser.add_argument('--kmerSizes', dest='kmer_sizes', default=None, help='Comma-separated ascending order list of odd-value kmer sizes to attempt') parser.add_argument('--outReads', default=None, help='Save the trimmomatic/prinseq/subsamp reads to a BAM file') parser.add_argument('--filterContigs', dest='filter_contigs', default=False, action='store_true', help='only output contigs SPAdes is sure of (drop lesser-quality contigs from output)') parser.add_argument('--alwaysSucceed', dest='always_succeed', default=True, action='store_true', help='if assembly fails for any reason, output an empty contigs file, rather than failing with ' 'an error code') parser.add_argument('--minContigLen', dest='min_contig_len', type=int, default=0, help='only output contigs longer than this many bp') parser.add_argument('--spadesOpts', dest='spades_opts', default='--rnaviral', help='(advanced) Extra flags to pass to the SPAdes assembler') parser.add_argument('--memLimitGb', dest='mem_limit_gb', default=4, type=int, help='Max memory to use, in GB (default: %(default)s)') viral_ngs.core.cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, assemble_spades, split_args=True) return parser __commands__.append(('assemble_spades', parser_assemble_spades)) def gapfill_gap2seq(in_scaffold, in_bam, out_scaffold, threads=None, mem_limit_gb=4, time_soft_limit_minutes=60.0, random_seed=0, gap2seq_opts='', always_succeed=False): ''' This step runs the Gap2Seq tool to close gaps between contigs in a scaffold. ''' try: viral_ngs.assemble.gap2seq.Gap2SeqTool().gapfill(in_scaffold, in_bam, out_scaffold, gap2seq_opts=gap2seq_opts, threads=threads, mem_limit_gb=mem_limit_gb, time_soft_limit_minutes=time_soft_limit_minutes, random_seed=random_seed) except Exception as e: if not always_succeed: raise log.warning('Gap-filling failed (%s); ignoring error, emulating successful run where simply no gaps were filled.') shutil.copyfile(in_scaffold, out_scaffold) def parser_gapfill_gap2seq(parser=argparse.ArgumentParser(description='Close gaps between contigs in a scaffold')): parser.add_argument('in_scaffold', help='FASTA file containing the scaffold. Each FASTA record corresponds to one ' 'segment (for multi-segment genomes). Contigs within each segment are separated by Ns.') parser.add_argument('in_bam', help='Input unaligned reads, BAM format.') parser.add_argument('out_scaffold', help='Output assemble.') parser.add_argument('--memLimitGb', dest='mem_limit_gb', default=4.0, help='Max memory to use, in gigabytes %(default)s') parser.add_argument('--timeSoftLimitMinutes', dest='time_soft_limit_minutes', default=60.0, help='Stop trying to close more gaps after this many minutes (default: %(default)s); this is a soft/advisory limit') parser.add_argument('--maskErrors', dest='always_succeed', default=False, action='store_true', help='In case of any error, just copy in_scaffold to out_scaffold, emulating a successful run that simply could not ' 'fill any gaps.') parser.add_argument('--gap2seqOpts', dest='gap2seq_opts', default='', help='(advanced) Extra command-line options to pass to Gap2Seq') parser.add_argument('--randomSeed', dest='random_seed', default=0, help='Random seed; 0 means use current time') viral_ngs.core.cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, gapfill_gap2seq, split_args=True) return parser __commands__.append(('gapfill_gap2seq', parser_gapfill_gap2seq)) def cluster_references_ani(inRefs, outClusters, m=15, s=50, c=10, min_af=15, threads=None): ''' This step uses the skani triangle tool to define clusters of highly-related genomes. ''' skani = viral_ngs.assemble.skani.SkaniTool() clusters = skani.find_reference_clusters(inRefs, m=m, s=s, c=c, min_af=min_af, threads=threads) with open(outClusters, 'w') as outf: for cluster in clusters: outf.write('\t'.join(cluster) + '\n') def parser_cluster_references_ani(parser=argparse.ArgumentParser(description='Cluster references')): parser.add_argument('inRefs', nargs='+', help='FASTA files containing reference genomes') parser.add_argument('outClusters', help='Output file containing clusters of highly-related genomes. Each line contains the filenames of the genomes in one cluster.') parser.add_argument('-m', type=int, default=15, help='marker k-mer compression factor (default: %(default)s)') parser.add_argument('-s', type=int, default=50, help='screen out pairs with < percent identity using k-mer sketching (default: %(default)s)') parser.add_argument('-c', type=int, default=10, help='compression factor (k-mer subsampling ratio) (default: %(default)s)') parser.add_argument('--min_af', dest='min_af', type=int, default=15, help='minimum alignment fraction (default: %(default)s)') viral_ngs.core.cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, cluster_references_ani, split_args=True) return parser __commands__.append(('cluster_references_ani', parser_cluster_references_ani)) def skani_contigs_to_refs(inContigs, inRefs, out_skani_dist, out_skani_dist_filtered, out_clusters_filtered, m=15, s=50, c=10, min_af=15, n=None, threads=None): skani = viral_ngs.assemble.skani.SkaniTool() clusters = skani.find_reference_clusters(inRefs, m=m, s=s, c=c, min_af=min_af, threads=threads) skani.find_closest_reference(inContigs, inRefs, out_skani_dist, m=m, s=s, c=c, n=n, min_af=min_af, threads=threads) refs_hit = set() refs_hit_by_cluster = set() dist_header = viral_ngs.core.file.readFlatFileHeader(out_skani_dist) with open(out_skani_dist, 'r') as inf: with open(out_skani_dist_filtered, 'w') as outf: writer = csv.DictWriter(outf, dist_header, delimiter='\t', dialect=csv.unix_dialect, quoting=csv.QUOTE_MINIMAL) writer.writeheader() for row in csv.DictReader(inf, delimiter='\t'): refs_hit.add(row['Ref_file']) if row['Ref_file'] not in refs_hit_by_cluster: writer.writerow(row) for cluster in clusters: if row['Ref_file'] in cluster: refs_hit_by_cluster.update(cluster) break with open(out_clusters_filtered, 'w') as outf: for cluster in clusters: hits = list([ref for ref in cluster if ref in refs_hit]) if hits: outf.write('\t'.join(hits) + '\n') def parser_skani_contigs_to_refs(parser=argparse.ArgumentParser(description='Find closest references for contigs')): parser.add_argument('inContigs', help='FASTA file containing contigs') parser.add_argument('inRefs', nargs='+', help='FASTA files containing reference genomes') parser.add_argument('out_skani_dist', help='Output file containing ANI distances between contigs and references') parser.add_argument('out_skani_dist_filtered', help='Output file containing ANI distances between contigs and references, with only the top reference hit per cluster') parser.add_argument('out_clusters_filtered', help='Output file containing clusters of highly-related genomes, with only clusters that have a hit to the contigs') parser.add_argument('-m', type=int, default=15, help='marker k-mer compression factor (default: %(default)s)') parser.add_argument('-s', type=int, default=50, help='screen out pairs with < percent identity using k-mer sketching (default: %(default)s)') parser.add_argument('-c', type=int, default=10, help='compression factor (k-mer subsampling ratio) (default: %(default)s)') parser.add_argument('-n', type=int, default=None, help='maximum number of hits to report (default: unlimited)') parser.add_argument('--min_af', dest='min_af', type=int, default=15, help='minimum alignment fraction (default: %(default)s)') viral_ngs.core.cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, skani_contigs_to_refs, split_args=True) return parser __commands__.append(('skani_contigs_to_refs', parser_skani_contigs_to_refs)) def _order_and_orient_orig(inFasta, inReference, outFasta, outAlternateContigs=None, breaklen=None, # aligner='nucmer', circular=False, trimmed_contigs=None, maxgap=200, minmatch=10, mincluster=None, min_pct_id=0.6, min_contig_len=200, min_pct_contig_aligned=0.3): ''' This step cleans up the de novo assembly with a known reference genome. Uses MUMmer (nucmer or promer) to create a reference-based consensus sequence of aligned contigs (with runs of N's in between the de novo contigs). ''' mummer = viral_ngs.assemble.mummer.MummerTool() #if trimmed_contigs: # trimmed = trimmed_contigs #else: # trimmed = viral_ngs.core.file.mkstempfname('.trimmed.contigs.fasta') #mummer.trim_contigs(inReference, inFasta, trimmed, # aligner=aligner, circular=circular, extend=False, breaklen=breaklen, # min_pct_id=min_pct_id, min_contig_len=min_contig_len, # min_pct_contig_aligned=min_pct_contig_aligned) #mummer.scaffold_contigs(inReference, trimmed, outFasta, # aligner=aligner, circular=circular, extend=True, breaklen=breaklen, # min_pct_id=min_pct_id, min_contig_len=min_contig_len, # min_pct_contig_aligned=min_pct_contig_aligned) mummer.scaffold_contigs_custom( inReference, inFasta, outFasta, outAlternateContigs=outAlternateContigs, extend=True, breaklen=breaklen, min_pct_id=min_pct_id, min_contig_len=min_contig_len, maxgap=maxgap, minmatch=minmatch, mincluster=mincluster, min_pct_contig_aligned=min_pct_contig_aligned ) #if not trimmed_contigs: # os.unlink(trimmed) return 0 def _call_order_and_orient_orig(inReference, outFasta, outAlternateContigs, **kwargs): return _order_and_orient_orig(inReference=inReference, outFasta=outFasta, outAlternateContigs=outAlternateContigs, **kwargs) def order_and_orient(inFasta, inReference, outFasta, outAlternateContigs=None, outReference=None, breaklen=None, # aligner='nucmer', circular=False, trimmed_contigs=None, maxgap=200, minmatch=10, mincluster=None, min_pct_id=0.6, min_contig_len=200, min_pct_contig_aligned=0.3, n_genome_segments=0, allow_incomplete_output=False, outStats=None, threads=None): ''' This step cleans up the de novo assembly with a known reference genome. Uses MUMmer (nucmer or promer) to create a reference-based consensus sequence of aligned contigs (with runs of N's in between the de novo contigs). ''' chk = viral_ngs.core.cmd.check_input ref_segments_all = [tuple(Bio.SeqIO.parse(inRef, 'fasta')) for inRef in viral_ngs.core.misc.make_seq(inReference)] chk(ref_segments_all, 'No references given') chk(len(set(map(len, ref_segments_all))) == 1, 'All references must have the same number of segments') if n_genome_segments: if len(ref_segments_all) == 1: chk((len(ref_segments_all[0]) % n_genome_segments) == 0, 'Number of reference sequences in must be a multiple of the number of genome segments') else: chk(len(ref_segments_all[0]) == n_genome_segments, 'Number of reference segments must match the n_genome_segments parameter') else: n_genome_segments = len(ref_segments_all[0]) ref_segments_all = functools.reduce(operator.concat, ref_segments_all, ()) n_refs = len(ref_segments_all) // n_genome_segments log.info('n_genome_segments={} n_refs={}'.format(n_genome_segments, n_refs)) ref_ids = [] with viral_ngs.core.file.tempfnames(suffixes=[ '.{}.ref.fasta'.format(ref_num) for ref_num in range(n_refs)]) as refs_fasta, \ viral_ngs.core.file.tempfnames(suffixes=[ '.{}.scaffold.fasta'.format(ref_num) for ref_num in range(n_refs)]) as scaffolds_fasta, \ viral_ngs.core.file.tempfnames(suffixes=[ '.{}.altcontig.fasta'.format(ref_num) for ref_num in range(n_refs)]) as alt_contigs_fasta: for ref_num in range(n_refs): this_ref_segs = ref_segments_all[ref_num*n_genome_segments : (ref_num+1)*n_genome_segments] ref_ids.append(this_ref_segs[0].id) Bio.SeqIO.write(this_ref_segs, refs_fasta[ref_num], 'fasta') with concurrent.futures.ProcessPoolExecutor(max_workers=viral_ngs.core.misc.sanitize_thread_count(threads)) as executor: retvals = executor.map(functools.partial(_call_order_and_orient_orig, inFasta=inFasta, breaklen=breaklen, maxgap=maxgap, minmatch=minmatch, mincluster=mincluster, min_pct_id=min_pct_id, min_contig_len=min_contig_len, min_pct_contig_aligned=min_pct_contig_aligned), refs_fasta, scaffolds_fasta, alt_contigs_fasta) for r in retvals: # if an exception is raised by _call_order_and_orient_contig, the # concurrent.futures.Executor.map function documentations states # that the same exception will be raised when retrieving that entry # of the retval iterator. This for loop is intended to reveal any # CalledProcessErrors from mummer itself. assert r==0 scaffolds = [tuple(Bio.SeqIO.parse(scaffolds_fasta[ref_num], 'fasta')) for ref_num in range(n_refs)] base_counts = [sum([len(seg.seq.replace("N","")) for seg in scaffold]) \ if len(scaffold)==n_genome_segments else 0 for scaffold in scaffolds] best_ref_num = numpy.argmax(base_counts) if (len(scaffolds[best_ref_num]) != n_genome_segments) and not allow_incomplete_output: raise IncompleteAssemblyError(len(scaffolds[best_ref_num]), n_genome_segments) log.info('base_counts={} best_ref_num={}'.format(base_counts, best_ref_num)) shutil.copyfile(scaffolds_fasta[best_ref_num], outFasta) if outAlternateContigs: shutil.copyfile(alt_contigs_fasta[best_ref_num], outAlternateContigs) if outReference: shutil.copyfile(refs_fasta[best_ref_num], outReference) if outStats: ref_ranks = (-numpy.array(base_counts)).argsort().argsort() with open(outStats, 'w') as stats_f: stats_w = csv.DictWriter(stats_f, fieldnames='ref_num ref_name base_count rank'.split(), delimiter='\t') stats_w.writeheader() for ref_num, (ref_id, base_count, rank) in enumerate(zip(ref_ids, base_counts, ref_ranks)): stats_w.writerow({'ref_num': ref_num, 'ref_name': ref_id, 'base_count': base_count, 'rank': rank}) def parser_order_and_orient(parser=argparse.ArgumentParser()): parser.add_argument('inFasta', help='Input de novo assembly/contigs, FASTA format.') parser.add_argument( 'inReference', nargs='+', help=('Reference genome for ordering, orienting, and merging contigs, FASTA format. Multiple filenames may be listed, each ' 'containing one reference genome. Alternatively, multiple references may be given by specifying a single filename, ' 'and giving the number of reference segments with the nGenomeSegments parameter. If multiple references are given, ' 'they must all contain the same number of segments listed in the same order.') ) parser.add_argument( 'outFasta', help="""Output assembly, FASTA format, with the same number of chromosomes as inReference, and in the same order.""" ) parser.add_argument( '--outAlternateContigs', help="""Output sequences (FASTA format) from alternative contigs that mapped, but were not chosen for the final output.""", default=None ) parser.add_argument('--nGenomeSegments', dest='n_genome_segments', type=int, default=0, help="""Number of genome segments. If 0 (the default), the `inReference` parameter is treated as one genome. If positive, the `inReference` parameter is treated as a list of genomes of nGenomeSegments each.""") parser.add_argument('--outReference', help='Output the reference chosen for scaffolding to this file') parser.add_argument('--outStats', help='Output stats used in reference selection') parser.add_argument( "--allow_incomplete_output", help="Do not fail with IncompleteAssemblyError if we fail to recover all segments of the desired genome.", default=False, action="store_true", dest="allow_incomplete_output" ) #parser.add_argument('--aligner', # help='nucmer (nucleotide) or promer (six-frame translations) [default: %(default)s]', # choices=['nucmer', 'promer'], # default='nucmer') #parser.add_argument("--circular", # help="""Allow contigs to wrap around the ends of the chromosome.""", # default=False, # action="store_true", # dest="circular") parser.add_argument( "--breaklen", "-b", help="""Amount to extend alignment clusters by (if --extend). nucmer default 200, promer default 60.""", type=int, default=None, dest="breaklen" ) parser.add_argument( "--maxgap", "-g", help="""Maximum gap between two adjacent matches in a cluster. Our default is %(default)s. nucmer default 90, promer default 30. Manual suggests going to 1000.""", type=int, default=200, dest="maxgap" ) parser.add_argument( "--minmatch", "-l", help="""Minimum length of an maximal exact match. Our default is %(default)s. nucmer default 20, promer default 6.""", type=int, default=10, dest="minmatch" ) parser.add_argument( "--mincluster", "-c", help="""Minimum cluster length. nucmer default 65, promer default 20.""", type=int, default=None, dest="mincluster" ) parser.add_argument( "--min_pct_id", "-i", type=float, default=0.6, help="show-tiling: minimum percent identity for contig alignment (0.0 - 1.0, default: %(default)s)" ) parser.add_argument( "--min_contig_len", type=int, default=200, help="show-tiling: reject contigs smaller than this (default: %(default)s)" ) parser.add_argument( "--min_pct_contig_aligned", "-v", type=float, default=0.3, help="show-tiling: minimum percent of contig length in alignment (0.0 - 1.0, default: %(default)s)" ) #parser.add_argument("--trimmed_contigs", # default=None, # help="optional output file for trimmed contigs") viral_ngs.core.cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, order_and_orient, split_args=True) return parser __commands__.append(('order_and_orient', parser_order_and_orient)) class IncompleteAssemblyError(Exception): def __init__(self, actual_n, expected_n): super(IncompleteAssemblyError, self).__init__( 'All computed scaffolds are incomplete. Best assembly has {} contigs, expected {}'.format( actual_n, expected_n) ) class PoorAssemblyError(Exception): def __init__(self, chr_idx, seq_len, non_n_count, min_length, segment_length): super(PoorAssemblyError, self).__init__( 'Error: poor assembly quality, chr {}: contig length {}, unambiguous bases {}; bases required of reference segment length: {}/{} ({:.0%})'.format( chr_idx, seq_len, non_n_count, min_length, int(segment_length), float(min_length)/float(segment_length) ) ) def impute_from_reference( inFasta, inReference, outFasta, minLengthFraction, minUnambig, replaceLength, newName=None, aligner='muscle', index=False ): ''' This takes a de novo assembly, aligns against a reference genome, and imputes all missing positions (plus some of the chromosome ends) with the reference genome. This provides an assembly with the proper structure (but potentially wrong sequences in areas) from which we can perform further read-based refinement. Two steps: filter_short_seqs: We then toss out all assemblies that come out to < 15kb or < 95% unambiguous and fail otherwise. modify_contig: Finally, we trim off anything at the end that exceeds the length of the known reference assemble. We also replace all Ns and everything within 55bp of the chromosome ends with the reference sequence. This is clearly incorrect consensus sequence, but it allows downstream steps to map reads in parts of the genome that would otherwise be Ns, and we will correct all of the inferred positions with two steps of read-based refinement (below), and revert positions back to Ns where read support is lacking. FASTA indexing: output assembly is indexed for Picard, Samtools, Novoalign. ''' tempFastas = [] pmc = parser_modify_contig(argparse.ArgumentParser()) assert aligner in ('muscle', 'mafft', 'mummer') with open(inFasta, 'r') as asmFastaFile: with open(inReference, 'r') as refFastaFile: asmFasta = list(Bio.SeqIO.parse(asmFastaFile, 'fasta')) refFasta = Bio.SeqIO.parse(refFastaFile, 'fasta') if asmFasta: for idx, (refSeqObj, asmSeqObj) in enumerate(itertools.zip_longest(refFasta, asmFasta)): # our zip fails if one file has more seqs than the other if not refSeqObj or not asmSeqObj: raise KeyError("inFasta and inReference do not have the same number of sequences. This could be because the de novo assembly process was unable to create contigs for all segments.") # error if PoorAssembly minLength = len(refSeqObj) * minLengthFraction non_n_count = viral_ngs.core.misc.unambig_count(asmSeqObj.seq) seq_len = len(asmSeqObj) log.info( "Assembly Quality - segment {idx} - name {segname} - contig len {len_actual} / {len_desired} ({min_frac}) - unambiguous bases {unamb_actual} / {unamb_desired} ({min_unamb})".format( idx=idx + 1, segname=refSeqObj.id, len_actual=seq_len, len_desired=len(refSeqObj), min_frac=minLengthFraction, unamb_actual=non_n_count, unamb_desired=seq_len, min_unamb=minUnambig ) ) if seq_len < minLength or non_n_count < seq_len * minUnambig: raise PoorAssemblyError(idx + 1, seq_len, non_n_count, minLength, len(refSeqObj)) # prepare temp input and output files tmpOutputFile = viral_ngs.core.file.mkstempfname(prefix='seq-out-{idx}-'.format(idx=idx), suffix=".fasta") concat_file = viral_ngs.core.file.mkstempfname('.ref_and_actual.fasta') ref_file = viral_ngs.core.file.mkstempfname('.ref.fasta') actual_file = viral_ngs.core.file.mkstempfname('.actual.fasta') aligned_file = viral_ngs.core.file.mkstempfname('.'+aligner+'.fasta') refName = refSeqObj.id with open(concat_file, 'wt') as outf: Bio.SeqIO.write([refSeqObj, asmSeqObj], outf, "fasta") with open(ref_file, 'wt') as outf: Bio.SeqIO.write([refSeqObj], outf, "fasta") with open(actual_file, 'wt') as outf: Bio.SeqIO.write([asmSeqObj], outf, "fasta") # align scaffolded genome to reference (choose one of three aligners) if aligner == 'mafft': viral_ngs.assemble.mafft.MafftTool().execute( [ref_file, actual_file], aligned_file, False, True, True, False, False, None ) elif aligner == 'muscle': if len(refSeqObj) > 40000: viral_ngs.assemble.muscle.MuscleTool().execute( concat_file, aligned_file, quiet=False, maxiters=2, diags=True ) else: viral_ngs.assemble.muscle.MuscleTool().execute(concat_file, aligned_file, quiet=False) elif aligner == 'mummer': viral_ngs.assemble.mummer.MummerTool().align_one_to_one(ref_file, actual_file, aligned_file) # run modify_contig args = [ aligned_file, tmpOutputFile, refName, '--call-reference-ns', '--trim-ends', '--replace-5ends', '--replace-3ends', '--replace-length', str(replaceLength), '--replace-end-gaps' ] if newName: # renames the segment name "sampleName-idx" where idx is the segment number args.extend(['--name', newName + "-" + str(idx + 1)]) args = pmc.parse_args(args) args.func_main(args) # clean up os.unlink(concat_file) os.unlink(ref_file) os.unlink(actual_file) os.unlink(aligned_file) tempFastas.append(tmpOutputFile) # merge outputs viral_ngs.core.file.concat(tempFastas, outFasta) for tmpFile in tempFastas: os.unlink(tmpFile) # Index final output FASTA for Picard, Samtools, and Novoalign if index: viral_ngs.core.samtools.SamtoolsTool().faidx(outFasta, overwrite=True) viral_ngs.core.picard.CreateSequenceDictionaryTool().execute(outFasta, overwrite=True) viral_ngs.core.novoalign.NovoalignTool().index_fasta(outFasta) return 0 def parser_impute_from_reference(parser=argparse.ArgumentParser()): parser.add_argument( 'inFasta', help='Input assembly/contigs, FASTA format, already ordered, oriented and merged with inReference.' ) parser.add_argument('inReference', help='Reference genome to impute with, FASTA format.') parser.add_argument('outFasta', help='Output assembly, FASTA format.') parser.add_argument("--newName", default=None, help="rename output chromosome (default: do not rename)") parser.add_argument( "--minLengthFraction", type=float, default=0.5, help="minimum length for contig, as fraction of reference (default: %(default)s)" ) parser.add_argument( "--minUnambig", type=float, default=0.5, help="minimum percentage unambiguous bases for contig (default: %(default)s)" ) parser.add_argument( "--replaceLength", type=int, default=0, help="length of ends to be replaced with reference (default: %(default)s)" ) parser.add_argument( '--aligner', help="""which method to use to align inFasta to inReference. "muscle" = MUSCLE, "mafft" = MAFFT, "mummer" = nucmer. [default: %(default)s]""", choices=['muscle', 'mafft', 'mummer'], default='muscle' ) parser.add_argument( "--index", help="""Index outFasta for Picard/GATK, Samtools, and Novoalign.""", default=False, action="store_true", dest="index" ) viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, impute_from_reference, split_args=True) return parser __commands__.append(('impute_from_reference', parser_impute_from_reference)) def refine_assembly( inFasta, inBam, outFasta, outVcf=None, outBam=None, novo_params='', min_coverage=2, major_cutoff=0.5, chr_names=None, keep_all_reads=False, max_coverage=None, rasusa_seed=None, already_realigned_bam=None, JVMmemory=None, threads=None, novoalign_license_path=None ): ''' This a refinement step where we take a crude assembly, align all reads back to it, and modify the assembly to the majority allele at each position based on read pileups. This step considers both SNPs as well as indels called by FreeBayes and will correct the consensus based on variant calls. Reads are aligned with Novoalign, then PCR duplicates are removed with Picard (in order to debias the allele counts in the pileups). Output FASTA file is indexed for Picard, Samtools, and Novoalign. ''' chr_names = chr_names or [] # if the input fasta is empty, create an empty output fasta and return if (os.path.getsize(inFasta) == 0): viral_ngs.core.file.touch(outFasta) if outVcf: with viral_ngs.core.file.open_or_gzopen(outVcf, 'wt') as outf: outf.write('##fileformat=VCFv4.3') outf.write('\t'.join(('#CHROM','POS','ID','REF','ALT','QUAL','FILTER','INFO','FORMAT'))+'\n') return 0 # Get tools picard_index = viral_ngs.core.picard.CreateSequenceDictionaryTool() picard_mkdup = viral_ngs.core.picard.MarkDuplicatesTool() samtools = viral_ngs.core.samtools.SamtoolsTool() fb = viral_ngs.assemble.freebayes.FreeBayesTool() novoalign = None if not already_realigned_bam: novoalign = viral_ngs.core.novoalign.NovoalignTool(license_path=novoalign_license_path) # Sanitize fasta header & create deambiguated genome for variant calling deambigFasta = viral_ngs.core.file.mkstempfname('.deambig.fasta') with viral_ngs.core.file.fastas_with_sanitized_ids(inFasta, use_tmp=True) as sanitized_fastas: deambig_fasta(sanitized_fastas[0], deambigFasta) picard_index.execute(deambigFasta, overwrite=True) samtools.faidx(deambigFasta, overwrite=True) if already_realigned_bam: realignBam = already_realigned_bam if samtools.isEmpty(realignBam): viral_ngs.core.file.touch(outFasta) if outVcf: with viral_ngs.core.file.open_or_gzopen(outVcf, 'wt') as outf: outf.write('##fileformat=VCFv4.3') outf.write('\t'.join(('#CHROM','POS','ID','REF','ALT','QUAL','FILTER','INFO','FORMAT'))+'\n') return 0 else: # Novoalign reads to self novoBam = viral_ngs.core.file.mkstempfname('.novoalign.bam') min_qual = 0 if keep_all_reads else 1 novoalign.index_fasta(deambigFasta) novoalign.execute(inBam, deambigFasta, novoBam, options=novo_params.split(), min_qual=min_qual, JVMmemory=JVMmemory) rmdupBam = viral_ngs.core.file.mkstempfname('.rmdup.bam') opts = ['CREATE_INDEX=true'] if not keep_all_reads: opts.append('REMOVE_DUPLICATES=true') picard_mkdup.execute([novoBam], rmdupBam, picardOptions=opts, JVMmemory=JVMmemory) os.unlink(novoBam) realignBam = rmdupBam if outBam: shutil.copyfile(realignBam, outBam) # Modify original assembly with VCF calls from FreeBayes with viral_ngs.core.file.tempfname('.vcf.gz') as tmpVcf, \ viral_ngs.core.file.tempfname('.fasta') as tmpFasta: # Optionally downsample coverage for variant calling only if max_coverage: rasusa_tool = viral_ngs.assemble.rasusa.RasusaTool() with viral_ngs.core.file.tempfname('.downsampled.unsorted.bam') as downsampledUnsortedBam, \ viral_ngs.core.file.tempfname('.downsampled.sorted.bam') as downsampledBam: rasusa_tool.downsample_bam(realignBam, downsampledUnsortedBam, max_coverage, seed=rasusa_seed) samtools.sort(downsampledUnsortedBam, downsampledBam, threads=threads) samtools.index(downsampledBam, threads=threads) fb.call(downsampledBam, deambigFasta, tmpVcf) # clean up samtools index sidecar if os.path.isfile(downsampledBam + '.bai'): os.unlink(downsampledBam + '.bai') else: fb.call(realignBam, deambigFasta, tmpVcf) if already_realigned_bam is None: os.unlink(realignBam) os.unlink(deambigFasta) name_opts = [] if chr_names: name_opts = ['--name'] + chr_names main_vcf_to_fasta( parser_vcf_to_fasta(argparse.ArgumentParser( )).parse_args([ tmpVcf, tmpFasta, '--trim_ends', '--min_coverage', str(min_coverage), '--major_cutoff', str(major_cutoff) ] + name_opts) ) if outVcf: shutil.copyfile(tmpVcf, outVcf) if outVcf.endswith('.gz'): shutil.copyfile(tmpVcf + '.tbi', outVcf + '.tbi') shutil.copyfile(tmpFasta, outFasta) # clean up tabix index sidecar created by FreeBayes/tabix if os.path.isfile(tmpVcf + '.tbi'): os.unlink(tmpVcf + '.tbi') # Index final output FASTA for Picard, Samtools, and Novoalign picard_index.execute(outFasta, overwrite=True) # if the input bam is empty, an empty fasta will be created, however # faidx cannot index an empty fasta file, so only index if the fasta # has a non-zero size if (os.path.getsize(outFasta) > 0): samtools.faidx(outFasta, overwrite=True) if already_realigned_bam is None: novoalign.index_fasta(outFasta) return 0 def parser_refine_assembly(parser=argparse.ArgumentParser()): parser.add_argument( 'inFasta', help='Input assembly, FASTA format, pre-indexed for Picard, Samtools, and Novoalign.' ) parser.add_argument('inBam', help='Input reads, unaligned BAM format.') parser.add_argument( 'outFasta', help='Output refined assembly, FASTA format, indexed for Picard, Samtools, and Novoalign.' ) parser.add_argument( '--already_realigned_bam', default=None, help="""BAM with reads that are already aligned to inFasta. This bypasses the alignment process by novoalign and instead uses the given BAM to make an assemble. When set, outBam is ignored.""" ) parser.add_argument( '--outBam', default=None, help='Reads aligned to inFasta. Unaligned and duplicate reads have been removed.' ) parser.add_argument('--outVcf', default=None, help='Variant calls for genome in inFasta coordinate space.') parser.add_argument( '--min_coverage', default=3, type=int, help='Minimum read coverage required to call a position unambiguous.' ) parser.add_argument( '--major_cutoff', default=0.5, type=float, help="""If the major allele is present at a frequency higher than this cutoff, we will call an unambiguous base at that position. If it is equal to or below this cutoff, we will call an ambiguous base representing all possible alleles at that position. [default: %(default)s]""" ) parser.add_argument( '--novo_params', default='-r Random -l 40 -g 40 -x 20 -t 100', help='Alignment parameters for Novoalign.' ) parser.add_argument( "--chr_names", dest="chr_names", nargs="*", help="Rename all output chromosomes (default: retain original chromosome names)", default=[] ) parser.add_argument( "--keep_all_reads", help="""Retain all reads in BAM file? Default is to remove unaligned and duplicate reads.""", default=False, action="store_true", dest="keep_all_reads" ) parser.add_argument( '--max_coverage', default=None, type=int, help="""Maximum read coverage depth for variant calling. If specified, reads are downsampled to this coverage using rasusa before FreeBayes variant calling. The downsampled BAM is internal only and not included in any output. [default: %(default)s]""" ) parser.add_argument( '--rasusa_seed', default=None, type=int, help="""Random seed for rasusa downsampling reproducibility. Only used when --max_coverage is set. [default: %(default)s]""" ) parser.add_argument( '--JVMmemory', default='2g', help='JVM virtual memory size for Picard/Novoalign (default: %(default)s)' ) parser.add_argument( '--NOVOALIGN_LICENSE_PATH', default=None, dest="novoalign_license_path", help='A path to the novoalign.lic file. This overrides the NOVOALIGN_LICENSE_PATH environment variable. (default: %(default)s)' ) viral_ngs.core.cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, refine_assembly, split_args=True) return parser __commands__.append(('refine_assembly', parser_refine_assembly)) def normalize_coverage(inBam, outBam, max_coverage, seed=None, threads=None): '''Downsample an aligned BAM to a maximum coverage depth using rasusa. The output BAM is coordinate-sorted and indexed. ''' samtools = viral_ngs.core.samtools.SamtoolsTool() rasusa_tool = viral_ngs.assemble.rasusa.RasusaTool() with viral_ngs.core.file.tempfname('.rasusa.unsorted.bam') as tmpBam: rasusa_tool.downsample_bam(inBam, tmpBam, max_coverage, seed=seed) samtools.sort(tmpBam, outBam, threads=threads) samtools.index(outBam, threads=threads) return outBam def parser_normalize_coverage(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input aligned BAM file, coordinate-sorted.') parser.add_argument('outBam', help='Output downsampled BAM file, coordinate-sorted and indexed.') parser.add_argument('max_coverage', type=int, help='Maximum coverage depth to downsample to.') parser.add_argument( '--seed', default=None, type=int, help='Random seed for rasusa reproducibility. [default: %(default)s]' ) viral_ngs.core.cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, normalize_coverage, split_args=True) return parser __commands__.append(('normalize_coverage', parser_normalize_coverage)) def parser_filter_short_seqs(parser=argparse.ArgumentParser()): parser.add_argument("inFile", help="input sequence file") parser.add_argument("minLength", help="minimum length for contig", type=int) parser.add_argument("minUnambig", help="minimum percentage unambiguous bases for contig", type=float) parser.add_argument("outFile", help="output file") parser.add_argument("-f", "--format", help="Format for input sequence (default: %(default)s)", default="fasta") parser.add_argument( "-of", "--output-format", help="Format for output sequence (default: %(default)s)", default="fasta" ) viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None))) viral_ngs.core.cmd.attach_main(parser, main_filter_short_seqs) return parser def main_filter_short_seqs(args): '''Check sequences in inFile, retaining only those that are at least minLength''' # orig by rsealfon, edited by dpark # TO DO: make this more generalized to accept multiple minLengths (for multiple chromosomes/segments) with viral_ngs.core.file.open_or_gzopen(args.inFile) as inf: with viral_ngs.core.file.open_or_gzopen(args.outFile, 'w') as outf: Bio.SeqIO.write( [ s for s in Bio.SeqIO.parse(inf, args.format) if len(s) >= args.minLength and viral_ngs.core.misc.unambig_count(s.seq) >= len(s) * args.minUnambig ], outf, args.output_format ) return 0 __commands__.append(('filter_short_seqs', parser_filter_short_seqs)) def parser_modify_contig(parser=argparse.ArgumentParser()): parser.add_argument("input", help="input alignment of reference and contig (should contain exactly 2 sequences)") parser.add_argument("output", help="Destination file for modified contigs") parser.add_argument("ref", help="reference sequence name (exact match required)") parser.add_argument( "-n", "--name", type=str, help="fasta header output name (default: existing header)", default=None ) parser.add_argument( "-cn", "--call-reference-ns", help="""should the reference sequence be called if there is an N in the contig and a more specific base in the reference (default: %(default)s)""", default=False, action="store_true", dest="call_reference_ns" ) parser.add_argument( "-t", "--trim-ends", help="should ends of contig.fasta be trimmed to length of reference (default: %(default)s)", default=False, action="store_true", dest="trim_ends" ) parser.add_argument( "-r5", "--replace-5ends", help="should the 5'-end of contig.fasta be replaced by reference (default: %(default)s)", default=False, action="store_true", dest="replace_5ends" ) parser.add_argument( "-r3", "--replace-3ends", help="should the 3'-end of contig.fasta be replaced by reference (default: %(default)s)", default=False, action="store_true", dest="replace_3ends" ) parser.add_argument( "-l", "--replace-length", help="length of ends to be replaced (if replace-ends is yes) (default: %(default)s)", default=10, type=int ) parser.add_argument("-f", "--format", help="Format for input alignment (default: %(default)s)", default="fasta") parser.add_argument( "-r", "--replace-end-gaps", help="Replace gaps at the beginning and end of the sequence with reference sequence (default: %(default)s)", default=False, action="store_true", dest="replace_end_gaps" ) parser.add_argument( "-rn", "--remove-end-ns", help="Remove leading and trailing N's in the contig (default: %(default)s)", default=False, action="store_true", dest="remove_end_ns" ) parser.add_argument( "-ca", "--call-reference-ambiguous", help="""should the reference sequence be called if the contig seq is ambiguous and the reference sequence is more informative & consistant with the ambiguous base (ie Y->C) (default: %(default)s)""", default=False, action="store_true", dest="call_reference_ambiguous" ) viral_ngs.core.cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) viral_ngs.core.cmd.attach_main(parser, main_modify_contig) return parser def main_modify_contig(args): ''' Modifies an input contig. Depending on the options selected, can replace N calls with reference calls, replace ambiguous calls with reference calls, trim to the length of the reference, replace contig ends with reference calls, and trim leading and trailing Ns. Author: rsealfon. ''' aln = Bio.AlignIO.read(args.input, args.format) # TODO?: take list of alignments in, one per chromosome, rather than # single alignment if len(aln) != 2: raise Exception("alignment does not contain exactly 2 sequences, %s found" % len(aln)) elif aln[0].name == args.ref: ref_idx = 0 consensus_idx = 1 elif aln[1].name == args.ref: ref_idx = 1 consensus_idx = 0 else: raise NameError("reference name '%s' not in alignment" % args.ref) mc = ContigModifier(str(aln[ref_idx].seq), str(aln[consensus_idx].seq)) if args.remove_end_ns: mc.remove_end_ns() if args.call_reference_ns: mc.call_reference_ns() if args.call_reference_ambiguous: mc.call_reference_ambiguous() if args.trim_ends: mc.trim_ends() if args.replace_end_gaps: mc.replace_end_gaps() if args.replace_5ends: mc.replace_5ends(args.replace_length) if args.replace_3ends: mc.replace_3ends(args.replace_length) with open(args.output, "wt") as f: if hasattr(args, "name"): name = args.name else: name = aln[consensus_idx].name for line in viral_ngs.core.file.fastaMaker([(name, mc.get_stripped_consensus())]): f.write(line) return 0 __commands__.append(('modify_contig', parser_modify_contig)) class ContigModifier(object): ''' Initial modifications to spades+MUMmer assembly output based on MUSCLE alignment to known reference genome author: rsealfon ''' def __init__(self, ref, consensus): if len(ref) != len(consensus): raise Exception("improper alignment") self.ref = list(ref) self.consensus = list(consensus) self.len = len(ref) def get_stripped_consensus(self): return ''.join(self.consensus).replace('-', '') def call_reference_ns(self): log.debug("populating N's from reference...") for i in range(self.len): if self.consensus[i].upper() == "N": self.consensus[i] = self.ref[i] def call_reference_ambiguous(self): ''' This is not normally used by default in our pipeline ''' log.debug("populating ambiguous bases from reference...") for i in range(self.len): if self.ref[i].upper() in Bio.Data.IUPACData.ambiguous_dna_values.get(self.consensus[i].upper(), []): self.consensus[i] = self.ref[i] def trim_ends(self): ''' This trims down the consensus so it cannot go beyond the given reference genome ''' log.debug("trimming ends...") for end_iterator in (range(self.len), reversed(range(self.len))): for i in end_iterator: if self.ref[i] != "-": break else: self.consensus[i] = "-" def replace_end_gaps(self): ''' This fills out the ends of the consensus with reference sequence ''' log.debug("populating leading and trailing gaps from reference...") for end_iterator in (range(self.len), reversed(range(self.len))): for i in end_iterator: if self.consensus[i] != "-": break self.consensus[i] = self.ref[i] def replace_5ends(self, replace_length): ''' This replaces everything within of the ends of the reference genome with the reference genome. ''' log.debug("replacing 5' ends...") ct = 0 for i in range(self.len): if self.ref[i] != "-": ct = ct + 1 if ct == replace_length: for j in range(i + 1): self.consensus[j] = self.ref[j] break def replace_3ends(self, replace_length): log.debug("replacing 3' ends...") ct = 0 for i in reversed(range(self.len)): if self.ref[i] != "-": ct = ct + 1 if ct == replace_length: for j in range(i, self.len): self.consensus[j] = self.ref[j] break def remove_end_ns(self): ''' This clips off any N's that begin or end the consensus. Not normally used in our pipeline ''' log.debug("removing leading and trailing N's...") for end_iterator in (range(self.len), reversed(range(self.len))): for i in end_iterator: if (self.consensus[i].upper() == "N" or self.consensus[i] == "-"): self.consensus[i] = "-" else: break class MutableSequence(object): def __init__(self, name, start, stop, init_seq=None): if not (stop >= start >= 1): raise IndexError("coords out of bounds") if init_seq is None: self.seq = list('N' * (stop - start + 1)) else: self.seq = list(init_seq) if stop - start + 1 != len(self.seq): raise Exception("wrong length") self.start = start self.stop = stop self.name = name self.deletions = [] def modify(self, p, new_base): if not (self.start <= p <= self.stop): raise IndexError("position out of bounds") i = p - self.start self.seq[i] = new_base def replace(self, start, stop, new_seq): if stop > start: self.deletions.append((start, stop, new_seq)) self.__change__(start, stop, new_seq) def __change__(self, start, stop, new_seq): if not (self.start <= start <= stop <= self.stop): raise IndexError("positions out of bounds") start -= self.start stop -= self.start if start == stop: self.seq[start] = new_seq for i in range(max(stop - start + 1, len(new_seq))): if start + i <= stop: if i < len(new_seq): if start + i == stop: # new allele is >= ref length, fill out the rest of the bases self.seq[start + i] = new_seq[i:] else: self.seq[start + i] = new_seq[i] else: # new allele is shorter than ref, so delete extra bases self.seq[start + i] = '' def replay_deletions(self): for start, stop, new_seq in self.deletions: self.__change__(start, stop, new_seq) def emit(self): return (self.name, ''.join(self.seq)) def alleles_to_ambiguity(allelelist): ''' Convert a list of DNA bases to a single ambiguity base. All alleles must be one base long. ''' for a in allelelist: if len(a) != 1: raise Exception("all alleles must be one base long") if len(allelelist) == 1: return allelelist[0] else: convert = dict([(tuple(sorted(v)), k) for k, v in Bio.Data.IUPACData.ambiguous_dna_values.items() if k != 'X']) key = tuple(sorted(set(a.upper() for a in allelelist))) return convert[key] def vcfrow_parse_and_call_snps(vcfrow, samples, min_dp=0, major_cutoff=0.5, min_dp_ratio=0.0): ''' Parse a single row of a VCF file, emit an iterator over each sample, call SNP genotypes using custom viral method based on read counts. ''' # process this row c = vcfrow[0] alleles = [vcfrow[3]] + [a for a in vcfrow[4].split(',') if a not in '.'] start = int(vcfrow[1]) stop = start + len(vcfrow[3]) - 1 format_col = vcfrow[8].split(':') format_col = dict((format_col[i], i) for i in range(len(format_col))) assert 'GT' in format_col and format_col['GT'] == 0 # required by VCF spec assert len(vcfrow) == 9 + len(samples) info = [x.split('=') for x in vcfrow[7].split(';') if x != '.'] info = dict(x for x in info if len(x) == 2) info_dp = int(info.get('DP', 0)) # process each sample for i in range(len(samples)): sample = samples[i] rec = vcfrow[i + 9].split(':') # require a minimum read coverage if len(alleles) == 1: # simple invariant case dp = ('DP' in format_col and len(rec) > format_col['DP']) and int(rec[format_col['DP']]) or 0 if dp < min_dp: continue geno = alleles if info_dp and float(dp) / info_dp < min_dp_ratio: log.warning( "dropping invariant call at %s:%s-%s %s (%s) due to low DP ratio (%s / %s = %s < %s)", c, start, stop, sample, geno, dp, info_dp, float(dp) / info_dp, min_dp_ratio ) continue else: # variant: manually call the highest read count allele if it exceeds a threshold assert ('AD' in format_col and len(rec) > format_col['AD']) allele_depths = list(map(int, rec[format_col['AD']].split(','))) assert len(allele_depths) == len(alleles) allele_depths = [(allele_depths[i], alleles[i]) for i in range(len(alleles)) if allele_depths[i] > 0] allele_depths = list(reversed(sorted((n, a) for n, a in allele_depths if n >= min_dp))) if not allele_depths: continue dp = sum(n for n, a in allele_depths) if allele_depths[0][0] > (dp * major_cutoff): # call a single allele at this position if it is a clear winner geno = [allele_depths[0][1]] else: # call multiple alleles at this position if there is no clear winner geno = [a for _, a in allele_depths] if geno: yield (c, start, stop, sample, geno) def vcf_to_seqs(vcfIter, chrlens, samples, min_dp=0, major_cutoff=0.5, min_dp_ratio=0.0): ''' Take a VCF iterator and produce an iterator of chromosome x sample full sequences.''' seqs = {} cur_c = None for vcfrow in vcfIter: try: for c, start, stop, s, alleles in vcfrow_parse_and_call_snps( vcfrow, samples, min_dp=min_dp, major_cutoff=major_cutoff, min_dp_ratio=min_dp_ratio ): # changing chromosome? if c != cur_c: if cur_c is not None: # dump the previous chromosome before starting a new one for s in samples: seqs[s].replay_deletions() # because of the order of VCF rows with indels yield seqs[s].emit() # prepare base sequences for this chromosome cur_c = c for s in samples: name = len(samples) > 1 and ("%s-%s" % (c, s)) or c seqs[s] = MutableSequence(name, 1, chrlens[c]) # modify sequence for this chromosome/sample/position if len(alleles) == 1: # call a single allele seqs[s].replace(start, stop, alleles[0]) elif all(len(a) == 1 for a in alleles): # call an ambiguous SNP seqs[s].replace(start, stop, alleles_to_ambiguity(alleles)) else: # mix of indels with no clear winner... force the most popular one seqs[s].replace(start, stop, alleles[0]) except: log.exception("Exception occurred while parsing VCF file. Row: '%s'", vcfrow) raise # at the end, dump the last chromosome if cur_c is not None: for s in samples: seqs[s].replay_deletions() # because of the order of VCF rows with indels yield seqs[s].emit() def parser_vcf_to_fasta(parser=argparse.ArgumentParser()): parser.add_argument("inVcf", help="Input VCF file") parser.add_argument("outFasta", help="Output FASTA file") parser.add_argument( "--trim_ends", action="store_true", dest="trim_ends", default=False, help="""If specified, we will strip off continuous runs of N's from the beginning and end of the sequences before writing to output. Interior N's will not be changed.""" ) parser.add_argument( "--min_coverage", dest="min_dp", type=int, help="""Specify minimum read coverage (with full agreement) to make a call. [default: %(default)s]""", default=3 ) parser.add_argument( "--major_cutoff", dest="major_cutoff", type=float, help="""If the major allele is present at a frequency higher than this cutoff, we will call an unambiguous base at that position. If it is equal to or below this cutoff, we will call an ambiguous base representing all possible alleles at that position. [default: %(default)s]""", default=0.5 ) parser.add_argument( "--min_dp_ratio", dest="min_dp_ratio", type=float, help="""The input VCF file often reports two read depth values (DP)--one for the position as a whole, and one for the sample in question. We can optionally reject calls in which the sample read count is below a specified fraction of the total read count. This filter will not apply to any sites unless both DP values are reported. [default: %(default)s]""", default=0.0 ) parser.add_argument( "--name", dest="name", nargs="*", help="output sequence names (default: reference names in VCF file)", default=[] ) viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None))) viral_ngs.core.cmd.attach_main(parser, main_vcf_to_fasta) return parser def main_vcf_to_fasta(args): ''' Take input genotypes (VCF) and construct a consensus sequence (fasta) by using majority-read-count alleles in the VCF. Genotypes in the VCF will be ignored--we will use the allele with majority read support (or an ambiguity base if there is no clear majority). Uncalled positions will be emitted as N's. Author: dpark. ''' assert args.min_dp >= 0 assert 0.0 <= args.major_cutoff < 1.0 with viral_ngs.assemble.vcf.VcfReader(args.inVcf) as vcf: chrlens = dict(vcf.chrlens()) samples = vcf.samples() assert len( samples ) == 1, """Multiple sample columns were found in the intermediary VCF file of the refine_assembly step, suggesting multiple sample names are present upstream in the BAM file. Please correct this so there is only one sample in the BAM file.""" with open(args.outFasta, 'wt') as outf: chr_idx = 0 for chr_idx, (header, seq) in enumerate( vcf_to_seqs( viral_ngs.core.file.read_tabfile(args.inVcf), chrlens, samples, min_dp=args.min_dp, major_cutoff=args.major_cutoff, min_dp_ratio=args.min_dp_ratio ) ): if args.trim_ends: seq = seq.strip('Nn') if args.name: header = args.name[chr_idx % len(args.name)] for line in viral_ngs.core.file.fastaMaker([(header, seq)]): outf.write(line) # done log.info("done") return 0 __commands__.append(('vcf_to_fasta', parser_vcf_to_fasta)) def parser_trim_fasta(parser=argparse.ArgumentParser()): parser.add_argument("inFasta", help="Input fasta file") parser.add_argument("outFasta", help="Output (trimmed) fasta file") viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None))) viral_ngs.core.cmd.attach_main(parser, trim_fasta, split_args=True) return parser def trim_fasta(inFasta, outFasta): ''' Take input sequences (fasta) and trim any continuous sections of N's from the ends of them. Write trimmed sequences to an output fasta file. ''' with open(outFasta, 'wt') as outf: with open(inFasta, 'rt') as inf: for record in Bio.SeqIO.parse(inf, 'fasta'): for line in viral_ngs.core.file.fastaMaker([(record.id, str(record.seq).strip('Nn'))]): outf.write(line) log.info("done") return 0 __commands__.append(('trim_fasta', parser_trim_fasta)) def deambig_base(base): ''' Take a single base (possibly a IUPAC ambiguity code) and return a random non-ambiguous base from among the possibilities ''' return random.choice(Bio.Data.IUPACData.ambiguous_dna_values[base.upper()]) def deambig_fasta(inFasta, outFasta): ''' Take input sequences (fasta) and replace any ambiguity bases with a random unambiguous base from among the possibilities described by the ambiguity code. Write output to fasta file. ''' with viral_ngs.core.file.open_or_gzopen(outFasta, 'wt') as outf: with viral_ngs.core.file.open_or_gzopen(inFasta, 'rt') as inf: for record in Bio.SeqIO.parse(inf, 'fasta'): for line in viral_ngs.core.file.fastaMaker([(record.id, ''.join(map(deambig_base, str(record.seq))))]): outf.write(line) return 0 def parser_deambig_fasta(parser=argparse.ArgumentParser()): parser.add_argument("inFasta", help="Input fasta file") parser.add_argument("outFasta", help="Output fasta file") viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None))) viral_ngs.core.cmd.attach_main(parser, deambig_fasta, split_args=True) return parser __commands__.append(('deambig_fasta', parser_deambig_fasta)) def vcf_dpdiff(vcfs): for vcf in vcfs: with viral_ngs.assemble.vcf.VcfReader(vcf) as v: samples = v.samples() assert len(samples) == 1 for row in viral_ngs.core.file.read_tabfile(vcf): dp1 = int(dict(x.split('=') for x in row[7].split(';') if x != '.').get('DP', 0)) dp2 = 0 if 'DP' in row[8].split(':'): dpidx = row[8].split(':').index('DP') if len(row[9].split(':')) > dpidx: dp2 = int(row[9].split(':')[dpidx]) ratio = '' if dp1: ratio = float(dp2) / dp1 yield (row[0], row[1], samples[0], dp1, dp2, dp1 - dp2, ratio) def parser_dpdiff(parser=argparse.ArgumentParser()): parser.add_argument("inVcfs", help="Input VCF file", nargs='+') parser.add_argument("outFile", help="Output flat file") viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None))) viral_ngs.core.cmd.attach_main(parser, dpdiff, split_args=True) return parser def dpdiff(inVcfs, outFile): ''' Take input VCF files (all with only one sample each) and report on the discrepancies between the two DP fields (one in INFO and one in the sample's genotype column). ''' header = ['chr', 'pos', 'sample', 'dp_info', 'dp_sample', 'diff', 'ratio'] with open(outFile, 'wt') as outf: outf.write('#' + '\t'.join(header) + '\n') for row in vcf_dpdiff(inVcfs): outf.write('\t'.join(map(str, row)) + '\n') return 0 #__commands__.append(('dpdiff', parser_dpdiff)) def alignment_summary(inFastaFileOne, inFastaFileTwo, outfileName=None, printCounts=False): """ Write or print pairwise alignment summary information for sequences in two FASTA files, including SNPs, ambiguous bases, and indels. """ gap = '-' ambiguous = 'N' unambiguous = set(list("GATCgatc")) aligner = viral_ngs.assemble.muscle.MuscleTool() per_chr_fastas = viral_ngs.core.file.transposeChromosomeFiles([inFastaFileOne, inFastaFileTwo]) results = OrderedDict() results["same_unambig"] = 0 results["snp_unambig"] = 0 results["indel_unambig"] = 0 results["indel_ambig"] = 0 results["ambig_one"] = 0 results["ambig_two"] = 0 results["ambig_both"] = 0 results["unambig_both"] = 0 for chr_fasta in per_chr_fastas: same_unambig = 0 snp_unambig = 0 indel_unambig = 0 indel_ambig = 0 ambig_one = 0 ambig_two = 0 ambig_both = 0 unambig_both = 0 alignOutFileName = viral_ngs.core.file.mkstempfname('.fasta') aligner.execute(chr_fasta, alignOutFileName, fmt="clw") with open(alignOutFileName, "r") as f: alignment = Bio.AlignIO.read(f, "clustal") for col_idx in range(0, alignment.get_alignment_length()): col = alignment[:, col_idx] c1 = col[0] c2 = col[1] if (c1 in ambiguous and c2 in ambiguous): ambig_both +=1 elif c1 in ambiguous: ambig_one += 1 elif c2 in ambiguous: ambig_two += 1 if (c1 in unambiguous and c2 in unambiguous): unambig_both += 1 if c1 == c2: same_unambig += 1 else: snp_unambig += 1 if ((c1 == gap and c2 in unambiguous) or (c2 == gap and c1 in unambiguous)): indel_unambig += 1 if ((c1 == gap and c2 in ambiguous) or (c2 == gap and c1 in ambiguous)): indel_ambig += 1 if printCounts: print("Counts for this segment/chromosome:") print("same_unambig ", same_unambig) print("snp_unambig ", snp_unambig) print("indel_unambig", indel_unambig) print("indel_ambig ", indel_ambig) print("ambig_one ", ambig_one) print("ambig_two ", ambig_two) print("ambig_both ", ambig_both) print("unambig_both ", unambig_both) results["same_unambig"] += same_unambig results["snp_unambig"] += snp_unambig results["indel_unambig"] += indel_unambig results["indel_ambig"] += indel_ambig results["ambig_one"] += ambig_one results["ambig_two"] += ambig_two results["ambig_both"] += ambig_both results["unambig_both"] += unambig_both if printCounts: print("\nCounts for this sample:") print("same_unambig ", results["same_unambig"]) print("snp_unambig ", results["snp_unambig"]) print("indel_unambig", results["indel_unambig"]) print("indel_ambig ", results["indel_ambig"]) print("ambig_one ", results["ambig_one"]) print("ambig_two ", results["ambig_two"]) print("ambig_both ", results["ambig_both"]) print("unambig_both ", results["unambig_both"]) if outfileName: with open(outfileName, "wt") as of: csvout = csv.writer(of, delimiter='\t') csvout.writerow(list(results.keys())) csvout.writerow(list(results.values())) def parser_alignment_summary(parser=argparse.ArgumentParser()): parser.add_argument('inFastaFileOne', help='First fasta file for an alignment') parser.add_argument('inFastaFileTwo', help='First fasta file for an alignment') parser.add_argument('--outfileName', help='Output file for counts in TSV format') parser.add_argument('--printCounts', help='', action='store_true') viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, alignment_summary, split_args=True) return parser __commands__.append(('alignment_summary', parser_alignment_summary)) def simulate_illumina_reads( in_fasta, out_bam, coverage, read_length=150, outer_distance=500, error_rate=0.02, mutation_rate=0.001, indel_fraction=0.15, indel_extended_prob=0.3, random_seed=None, sample_name='sample', library_name='lib1' ): ''' Simulate Illumina paired-end reads using wgsim. Args: in_fasta: Input reference fasta file out_bam: Output unaligned BAM file coverage: Coverage specification in one of three formats: 1. Single float value (e.g., 20.0) for uniform coverage across all sequences 2. Space-separated string with per-sequence depths (e.g., "chr1:20x chr2:2x") 3. Path to BED file with 5th column containing depth values read_length: Length of each simulated read (default: 150) outer_distance: Outer distance between read pairs (default: 500) error_rate: Base error rate (default: 0.02) mutation_rate: Mutation rate (default: 0.001) indel_fraction: Fraction of errors that are indels (default: 0.15) indel_extended_prob: Probability an indel is extended (default: 0.3) random_seed: Random seed for reproducibility sample_name: Sample name for read group library_name: Library name for read group ''' wgsim = viral_ngs.assemble.wgsim.WgsimTool() samtools = viral_ngs.core.samtools.SamtoolsTool() # Parse coverage specification into normalized format: # coverage_map[seq_id] = [(start, end, depth), ...] # where start/end are None to indicate whole sequence coverage_map = {} # Check if coverage is a path to a BED file if os.path.exists(str(coverage)): # Parse BED file (5th column is depth) with open(coverage, 'r') as f: for line in f: if line.startswith('#') or not line.strip(): continue fields = line.strip().split('\t') if len(fields) < 5: raise ValueError(f"BED file must have at least 5 columns, found {len(fields)}") seq_id = fields[0] start = int(fields[1]) + 1 # BED is 0-based, convert to 1-based end = int(fields[2]) # BED end is exclusive, so this is correct for 1-based inclusive depth = float(fields[4].rstrip('xX')) if seq_id not in coverage_map: coverage_map[seq_id] = [] coverage_map[seq_id].append((start, end, depth)) elif isinstance(coverage, str) and (':' in coverage or ' ' in coverage): # Parse per-sequence string format (e.g., "chr1:20x chr2:2x") for spec in coverage.split(): if ':' in spec: seq_id, depth_str = spec.split(':', 1) depth = float(depth_str.rstrip('xX')) # Use None to indicate whole sequence coverage_map[seq_id] = [(None, None, depth)] else: # Single coverage value for all sequences try: uniform_depth = float(str(coverage).rstrip('xX')) # Read all sequence IDs from input fasta for record in Bio.SeqIO.parse(in_fasta, 'fasta'): # Use None to indicate whole sequence coverage_map[record.id] = [(None, None, uniform_depth)] except ValueError: raise ValueError(f"Invalid coverage specification: {coverage}") # Generate reads for each sequence/region temp_fastqs = [] for record in Bio.SeqIO.parse(in_fasta, 'fasta'): seq_id = record.id seq_len = len(record.seq) if seq_id not in coverage_map: continue # Process all regions for this sequence for start, end, depth in coverage_map[seq_id]: if depth == 0: continue # Use whole sequence if start/end are None region_start = start if start is not None else 1 region_end = end if end is not None else seq_len region_len = region_end - region_start + 1 num_pairs = wgsim.coverage_to_read_pairs(depth, region_len, read_length) # Slice fasta to region (will be no-op if region is whole sequence) region_fasta = viral_ngs.core.file.mkstempfname('.region.fasta') wgsim.slice_fasta(in_fasta, region_fasta, seq_id, start, end) # Generate reads for this region fq1 = viral_ngs.core.file.mkstempfname('.1.fastq') fq2 = viral_ngs.core.file.mkstempfname('.2.fastq') wgsim.execute( region_fasta, fq1, fq2, read_length=read_length, outer_distance=outer_distance, error_rate=error_rate, mutation_rate=mutation_rate, indel_fraction=indel_fraction, indel_extended_prob=indel_extended_prob, num_read_pairs=num_pairs, random_seed=random_seed ) temp_fastqs.append((fq1, fq2)) # Merge all fastq files if not temp_fastqs: raise ValueError("No reads generated - check coverage specification matches sequences in fasta") merged_fq1 = viral_ngs.core.file.mkstempfname('.merged.1.fastq') merged_fq2 = viral_ngs.core.file.mkstempfname('.merged.2.fastq') with open(merged_fq1, 'wb') as outf: for fq1, _ in temp_fastqs: with open(fq1, 'rb') as inf: shutil.copyfileobj(inf, outf) with open(merged_fq2, 'wb') as outf: for _, fq2 in temp_fastqs: with open(fq2, 'rb') as inf: shutil.copyfileobj(inf, outf) # Convert to BAM with proper read group headers wgsim.fastqs_to_bam( merged_fq1, merged_fq2, out_bam, sample_name=sample_name, library_name=library_name ) def parser_simulate_illumina_reads(parser=argparse.ArgumentParser()): parser.add_argument('in_fasta', help='Input reference genome (fasta format)') parser.add_argument('out_bam', help='Output unaligned BAM file') parser.add_argument( 'coverage', help='''Coverage specification in one of three formats: 1) Single value (e.g., "20" for 20X across all sequences) 2) Per-sequence string (e.g., "chr1:20x chr2:2x chr3:0.48x") 3) Path to BED file where 5th column contains depth values''' ) parser.add_argument('--read_length', type=int, default=150, help='Length of each read (default: %(default)s)') parser.add_argument('--outer_distance', type=int, default=500, help='Outer distance between read pairs (default: %(default)s)') parser.add_argument('--error_rate', type=float, default=0.02, help='Base error rate (default: %(default)s)') parser.add_argument('--mutation_rate', type=float, default=0.001, help='Mutation rate (default: %(default)s)') parser.add_argument('--indel_fraction', type=float, default=0.15, help='Fraction of errors that are indels (default: %(default)s)') parser.add_argument('--indel_extended_prob', type=float, default=0.3, help='Probability an indel is extended (default: %(default)s)') parser.add_argument('--random_seed', type=int, default=None, help='Random seed for reproducibility (default: current time)') parser.add_argument('--sample_name', default='sample', help='Sample name for read group (default: %(default)s)') parser.add_argument('--library_name', default='lib1', help='Library name for read group (default: %(default)s)') viral_ngs.core.cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) viral_ngs.core.cmd.attach_main(parser, simulate_illumina_reads, split_args=True) return parser __commands__.append(('simulate_illumina_reads', parser_simulate_illumina_reads)) def full_parser(): return viral_ngs.core.cmd.make_parser(__commands__, __doc__) def main(): viral_ngs.core.cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/broad_utils.py ================================================ #!/usr/bin/env python3 """ Utilities for getting sequences out of the Broad walk-up sequencing pipeline. These utilities are probably not of much use outside the Broad. """ __author__ = "dpark@broadinstitute.org" __commands__ = [] import argparse import logging import os import os.path import json import glob from .core import file as util_file, misc as util_misc, cmd as util_cmd log = logging.getLogger(__name__) # ========================================== # *** get stuff from Picard json file *** # ========================================== def get_json_from_picard(picardDir): ''' for example, /seq/walkup/picard/{flowcell_minus_first_char} ''' analysisDir = max( (os.path.getmtime(os.path.join(picardDir, d)), d) for d in os.listdir(picardDir) if os.path.isdir(os.path.join(picardDir, d)))[1] jsonfile = list(glob.glob(os.path.join(picardDir, analysisDir, 'info', 'logs', '*.json'))) if len(jsonfile) != 1: raise Exception("error") return jsonfile[0] def get_run_date(jsonfile): with open(jsonfile, 'rt') as inf: runDate = json.load(inf)['workflow']['runDate'] return runDate def get_bustard_dir(jsonfile): with open(jsonfile, 'rt') as inf: bustard = json.load(inf)['workflow']['runFolder'] return bustard def parser_get_bustard_dir(parser=argparse.ArgumentParser()): parser.add_argument('inDir', help='Picard directory') util_cmd.common_args(parser, (('loglevel', 'ERROR'),)) util_cmd.attach_main(parser, main_get_bustard_dir) return parser def main_get_bustard_dir(args): 'Find the basecalls directory from a Picard directory' print(get_bustard_dir(get_json_from_picard(args.inDir))) return 0 __commands__.append(('get_bustard_dir', parser_get_bustard_dir)) def parser_get_run_date(parser=argparse.ArgumentParser()): parser.add_argument('inDir', help='Picard directory') util_cmd.common_args(parser, (('loglevel', 'ERROR'),)) util_cmd.attach_main(parser, main_get_run_date) return parser def main_get_run_date(args): 'Find the sequencing run date from a Picard directory' print(get_run_date(get_json_from_picard(args.inDir))) return 0 __commands__.append(('get_run_date', parser_get_run_date)) # =============== # *** misc *** # =============== def iterate_wells(runfile): for lane in util_file.read_tabfile_dict(runfile): for well in util_file.read_tabfile_dict(lane['barcode_file']): yield (lane, well) def get_all_samples(runfile): return list(sorted(set(well['sample'] for lane, well in iterate_wells(runfile)))) def get_all_libraries(runfile): return list(sorted(set(well['sample'] + '.l' + well['library_id_per_sample'] for lane, well in iterate_wells( runfile)))) def get_run_id(well): run_id = well['sample'] if well.get('library_id_per_sample'): run_id += '.l' + well['library_id_per_sample'] if well.get('run_id_per_library'): run_id += '.r' + well['run_id_per_library'] return run_id def get_all_runs(runfile): return list(sorted(get_run_id(well) + '.' + lane['flowcell'] + '.' + lane['lane'] for lane, well in iterate_wells( runfile))) def parser_get_all_names(parser=argparse.ArgumentParser()): parser.add_argument('type', help='Type of name', choices=['samples', 'libraries', 'runs']) parser.add_argument('runfile', help='File with seq run information') util_cmd.common_args(parser, (('loglevel', 'ERROR'),)) util_cmd.attach_main(parser, main_get_all_names) return parser def main_get_all_names(args): 'Get all samples' if args.type == 'samples': method = get_all_samples elif args.type == 'libraries': method = get_all_libraries elif args.type == 'runs': method = get_all_runs for s in method(args.runfile): print(s) return 0 __commands__.append(('get_all_names', parser_get_all_names)) # ======================= def full_parser(): return util_cmd.make_parser(__commands__, __doc__) def main(): util_cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/classify/__init__.py ================================================ """viral_ngs.classify - Metagenomic classification tools and utilities.""" from . import blast from . import bmtagger from . import kb from . import kma from . import kmc from . import kraken2 from . import krona from . import last from . import taxonomy ================================================ FILE: src/viral_ngs/classify/blast.py ================================================ "Tools in the blast+ suite." import logging import os import shutil import subprocess from viral_ngs import core from viral_ngs.core import samtools from viral_ngs.core import misc TOOL_NAME = "blastn" ''' #Creating task.log logging.basicConfig( level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler("blast_py.log"), logging.StreamHandler() ] ) ''' _log = logging.getLogger(__name__) class BlastTools(core.Tool): """'Abstract' base class for tools in the blast+ suite. Subclasses must define class member subtool_name.""" def __init__(self, install_methods=None): unwanted = [ 'blast_formatter', 'blastdb_aliastool', 'blastdbcheck', 'blastdbcmd', 'convert2blastmask', 'deltablast', 'legacy_blast.pl', 'makembindex', 'makeprofiledb', 'psiblast', 'rpsblast', 'rpstblastn', 'segmasker', 'tblastn', 'tblastx', 'update_blastdb.pl', 'windowmasker' ] self.subtool_name = self.subtool_name if hasattr(self, "subtool_name") else "blastn" if install_methods is None: install_methods = [core.PrexistingUnixCommand(shutil.which(self.subtool_name), require_executability=False)] super(BlastTools, self).__init__(install_methods=install_methods) def execute(self, *args): cmd = [self.install_and_get_path()] cmd.extend(args) misc.run_and_print(cmd, buffered=True, check=True) class BlastnTool(BlastTools): """ Tool wrapper for blastn """ subtool_name = 'blastn' def get_hits_pipe(self, inPipe, db, threads=None, task=None, outfmt='6', max_target_seqs=1, output_type="read_id"): _log.debug(f"Executing get_hits_pipe function. Called with outfmt: {outfmt}") #toggle between extracting read IDs only or full blast output (all lines) if output_type not in ['read_id', 'full_line']: _log.warning(f"Invalid output_type '{output_type}' specified. Defaulting to 'read_id'.") output_type = 'read_id' # run blastn and emit list of read IDs threads = misc.sanitize_thread_count(threads) cmd = [self.install_and_get_path(), '-db', db, '-word_size', 16, '-num_threads', threads, '-evalue', '1e-6', '-outfmt', str(outfmt), '-max_target_seqs', str(max_target_seqs), '-task', str(task) if task else 'blastn', ] cmd = [str(x) for x in cmd] #Log BLAST command executed _log.debug('Running blastn command: {}'.format(' '.join(cmd))) _log.debug('| ' + ' '.join(cmd) + ' |') blast_pipe = subprocess.Popen(cmd, stdin=inPipe, stdout=subprocess.PIPE) output, error = blast_pipe.communicate() #Display error message if BLAST failed if blast_pipe.returncode!= 0: _log.error('Error running blastn command: {}'.format(error)) raise subprocess.CalledProcessError(blast_pipe.returncode, cmd) # If read_id is defined, strip tab output to just query read ID names and emit (default) last_read_id = None for line in output.decode('UTF-8').splitlines(): if output_type == 'read_id': #Split line by tab, and take the first element read_id = line.split('\t')[0] # Only emit if it is not a duplicate of the previous read ID if read_id != last_read_id: last_read_id = read_id yield read_id #Yield the full line without stripping whitespace elif output_type == 'full_line': yield line #Display on CMD if BLAST fails if blast_pipe.returncode!= 0: _log.error('Error running blastn command: {}'.format(error)) raise subprocess.CalledProcessError(blast_pipe.returncode, cmd) #Logging configuration written to blast_py.log if BLAST passes/fails if blast_pipe.returncode == 0: _log.info("Blastn process completed succesfully.") else: _log.error("Blastn process failed with exit code: %s", blast_pipe.returncode) raise subprocess.CalledProcessError(blast_pipe.returncode, cmd) def get_hits_bam(self, inBam, db, threads=None): return self.get_hits_pipe( samtools.SamtoolsTool().bam2fa_pipe(inBam), db, threads=threads) def get_hits_fasta(self, inFasta, db, threads=None, task=None, outfmt='6', max_target_seqs=1, output_type='read_id'): _log.debug(f"Executing get_hits_fasta function. Called with outfmt: {outfmt}") with open(inFasta, 'rt') as inf: for hit in self.get_hits_pipe(inf, db, threads=threads, task=None, outfmt=outfmt, max_target_seqs=max_target_seqs, output_type=output_type): yield hit class MakeblastdbTool(BlastTools): """ Tool wrapper for makeblastdb """ subtool_name = 'makeblastdb' def build_database(self, fasta_files, database_prefix_path): """ builds a srprism database """ input_fasta = "" # we can pass in a string containing a fasta file path # or a list of strings if 'basestring' not in globals(): basestring = str if isinstance(fasta_files, basestring): fasta_files = [fasta_files] elif isinstance(fasta_files, list): pass else: raise TypeError("fasta_files was not a single fasta file, nor a list of fasta files") # or something along that line # if more than one fasta file is specified, join them # otherwise if only one is specified, just use it if len(fasta_files) > 1: input_fasta = file.mkstempfname("fasta") file.cat(input_fasta, fasta_files) elif len(fasta_files) == 1: input_fasta = fasta_files[0] else: raise IOError("No fasta file provided") args = ['-dbtype', 'nucl', '-in', input_fasta, '-out', database_prefix_path] self.execute(*args) return database_prefix_path ================================================ FILE: src/viral_ngs/classify/bmtagger.py ================================================ "core.Tool for bmtagger.sh." from viral_ngs import core from viral_ngs.core import file import os import logging import shutil import subprocess from urllib.request import urlretrieve _log = logging.getLogger(__name__) TOOL_NAME = "bmtagger" TOOL_VERSION = "3.101" class BmtaggerTools(core.Tool): ''' "Abstract" base class for bmtagger.sh, bmfilter, extract_fullseq, srprism. Subclasses must define class member subtool_name. Note: bmtagger calls blastn so that must be installed somewhere in $PATH. WARNING: bmtagger.sh does not work with the version of getopt that ships with Mac OS X. This can be worked around by installing linux getopt using fink and assuring that /sw/bin comes before /usr/bin in $PATH. ''' # subtool_name must be defined in subclass def __init__(self, install_methods=None): self.subtool_name = self.subtool_name if hasattr(self, "subtool_name") else "bmtagger.sh" if install_methods is None: install_methods = [] install_methods = [core.PrexistingUnixCommand(shutil.which(self.subtool_name), require_executability=False)] core.Tool.__init__(self, install_methods=install_methods) def execute(self, *args): cmd = [self.install_and_get_path()] cmd.extend(args) subprocess.check_call(cmd) def silent_execute(self, *args): cmd = [self.install_and_get_path()] cmd.extend(args) with open(os.devnull, 'w') as fnull: subprocess.check_call(cmd, stderr=fnull) class BmtaggerShTool(BmtaggerTools): """ tool wrapper for bmtagger """ subtool_name = 'bmtagger.sh' class BmfilterTool(BmtaggerTools): """ tool wrapper for bmfilter """ subtool_name = 'bmfilter' class BmtoolTool(BmtaggerTools): """ tool wrapper for bmtool """ subtool_name = 'bmtool' def build_database(self, fasta_files, bitmask_file_path, max_ambig=0, word_size=18): """ builds a bmtool database (*.bitmask file) """ input_fasta = "" # we can pass in a string containing a fasta file path # or a list of strings if 'basestring' not in globals(): basestring = str if isinstance(fasta_files, basestring): fasta_files = [fasta_files] elif isinstance(fasta_files, list): pass else: raise TypeError("fasta_files was not a single fasta file, nor a list of fasta files") # or something along that line # if more than one fasta file is specified, join them # otherwise if only one is specified, just use it if len(fasta_files) > 1: input_fasta = file.mkstempfname("fasta") file.cat(input_fasta, fasta_files) elif len(fasta_files) == 1: input_fasta = fasta_files[0] else: raise IOError("No fasta file provided") args = ['-d', input_fasta, '-o', bitmask_file_path, '-A', str(max_ambig), '-w', str(word_size)] self.silent_execute(*args) return bitmask_file_path class ExtractFullseqTool(BmtaggerTools): """ tool wrapper for extract_fullseq """ subtool_name = 'extract_fullseq' class SrprismTool(BmtaggerTools): """ tool wrapper for srprism """ subtool_name = 'srprism' def build_database(self, fasta_files, database_prefix_path): """ builds a srprism database """ input_fasta = "" # we can pass in a string containing a fasta file path # or a list of strings if 'basestring' not in globals(): basestring = str if isinstance(fasta_files, basestring): fasta_files = [fasta_files] elif isinstance(fasta_files, list): pass else: raise TypeError("fasta_files was not a single fasta file, nor a list of fasta files") # or something along that line # if more than one fasta file is specified, join them # otherwise if only one is specified, just use it if len(fasta_files) > 1: input_fasta = file.mkstempfname("fasta") file.cat(input_fasta, fasta_files) elif len(fasta_files) == 1: input_fasta = fasta_files[0] else: raise IOError("No fasta file provided") args = ['mkindex', '-i', input_fasta, '-o', database_prefix_path] self.execute(*args) return database_prefix_path ================================================ FILE: src/viral_ngs/classify/kb.py ================================================ ''' kb_python classification tool ''' import itertools import glob import logging import os import os.path import shutil import subprocess import tarfile import anndata import pandas as pd from viral_ngs import core from viral_ngs.core import picard from viral_ngs.core import samtools from viral_ngs.core import file from viral_ngs.core import misc from builtins import super log = logging.getLogger(__name__) class kb(core.Tool): SUBCOMMANDS = ['count', 'ref', 'extract'] def __init__(self, install_methods=None): if not install_methods: install_methods = [] install_methods.append(core.PrexistingUnixCommand(shutil.which('kb'), require_executability=False)) super(kb, self).__init__(install_methods=install_methods) def version(self): return '1' @property def libexec(self): if not self.executable_path(): self.install_and_get_path() return os.path.dirname(self.executable_path()) def execute(self, command,output, args=None, options=None): '''Run a kb * command. Args: command: Subcommand to run. input: Input file kb_python/kallisto operates on. output: Output file to send to command. args: List of positional args. options: List of keyword options. Values can be single items or lists for multi-value options. ''' options = options or {} if output: options['-o'] = output args = args or [] cmd = command.split() # Build options, handling both single values and lists for key, value in options.items(): if value is None: # Empty flag like --aa cmd.append(key) elif isinstance(value, list): # Multi-value option like -ts target1 target2 cmd.append(key) cmd.extend([str(v) for v in value]) else: # Single value option cmd.extend([key, str(value)]) cmd.extend(args) log.debug('Calling %s: %s', command, ' '.join(cmd)) # Use Popen to capture both stdout and stderr for better error reporting process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True) stdout, stderr = process.communicate() # Log output if stdout: log.info("kb output: %s", stdout) if stderr: log.info("kb stderr: %s", stderr) # Check for errors: kb_python sometimes catches exceptions without proper exit codes # Look for Python tracebacks or subprocess errors in stderr has_error = stderr and ('Traceback (most recent call last)' in stderr or 'CalledProcessError' in stderr) # Raise exception if command failed or error detected if process.returncode != 0 or has_error: error_msg = f"Command failed with return code {process.returncode}: {' '.join(cmd)}" if stderr: error_msg += f"\nStderr: {stderr}" log.error(error_msg) raise subprocess.CalledProcessError(process.returncode if process.returncode != 0 else 1, cmd, output=stdout, stderr=stderr) def build(self, ref_fasta, index, workflow='standard', kmer_len=31, protein=False, num_threads=None): '''Create a kb_python index. Args: ref_fasta: reference fasta file index: output index file workflow: one of 'standard', 'nac', 'kite', 'custom' kmer_len: kmer size (default 31) protein: ref_fasta file contains amino acid sequences ''' # build db build_opts = { '-t': misc.sanitize_thread_count(num_threads) } if kmer_len: build_opts['-k'] = kmer_len if index: build_opts['-i'] = index if protein: build_opts['--aa'] = None if workflow: build_opts['--workflow'] = workflow self.execute('kb ref', None, args=[ref_fasta], options=build_opts) def classify(self, in_bam, index_file, out_dir, t2g_file, k=31, parity='single', technology='bulk', h5ad=False, loom=False, protein=False, num_threads=None): """Classify input reads (bam) Args: in_bam: unaligned reads (single or paired-end) in BAM or FASTQ format. index_file: kb_python index file out_dir: output directory t2g_file: transcript to gene mapping file k: kmer size (default 31) parity: one of 'single', 'paired' technology: one of '10xv2', '10xv3', '10xv3cr', '10xv3multiome', '10xv1', 'dropseq', 'indrop', 'sci-rna-seq', 'bulk' h5ad: output h5ad file loom: output loom file protein: ref_fasta file contains amino acid sequences num_threads: number of threads to use """ if samtools.SamtoolsTool().isEmpty(in_bam): return opts = { '-i': index_file, '-g': t2g_file, '-t': misc.sanitize_thread_count(num_threads), '--parity': parity } if k: opts['-k'] = k if technology: opts['-x'] = technology if h5ad: opts['--h5ad'] = None if loom: opts['--loom'] = None if protein: opts['--aa'] = None tmp_fastq1 = file.mkstempfname('.1.fastq') tmp_fastq2 = file.mkstempfname('.2.fastq') tmp_fastq3 = file.mkstempfname('.s.fastq') tmp_interleaved = None try: if in_bam.lower().endswith('.fastq') or in_bam.lower().endswith('.fq') or in_bam.lower().endswith('.fastq.gz') or in_bam.lower().endswith('.fq.gz'): if not os.path.exists(in_bam): return # Input is already FASTQ, use it directly (don't delete it later) self.execute('kb count', out_dir, args=[in_bam], options=opts) else: if samtools.SamtoolsTool().isEmpty(in_bam): return # Do not convert this to samtools bam2fq unless we can figure out how to replicate # the clipping functionality of Picard SamToFastq picard_tool = picard.SamToFastqTool() picard_opts = { 'CLIPPING_ATTRIBUTE': picard.SamToFastqTool.illumina_clipping_attribute, 'CLIPPING_ACTION': 'X' } picard_tool.execute(in_bam, tmp_fastq1, tmp_fastq2, outFastq0=tmp_fastq3, picardOptions=picard.PicardTools.dict_to_picard_opts(picard_opts), JVMmemory=picard_tool.jvmMemDefault) # Detect if input bam was paired by checking fastq 2 if os.path.getsize(tmp_fastq2) < os.path.getsize(tmp_fastq3): self.execute('kb count', out_dir, args=[tmp_fastq3], options=opts) else: tmp_interleaved = file.mkstempfname('.interleaved.fastq') with open(tmp_fastq1, 'rb') as fastq1, open(tmp_fastq2, 'rb') as fastq2, open(tmp_interleaved, 'wb') as interleaved: while True: read1 = [fastq1.readline() for _ in range(4)] if not read1[0]: break if any(line == b'' for line in read1[1:]): raise ValueError("Unexpected end of read 1 FASTQ while interleaving paired data") read2 = [fastq2.readline() for _ in range(4)] if any(line == b'' for line in read2): raise ValueError("Unexpected end of read 2 FASTQ while interleaving paired data") interleaved.writelines(read1) interleaved.writelines(read2) if fastq2.readline(): raise ValueError("Read 2 FASTQ contains extra data after interleaving paired data") self.execute('kb count', out_dir, args=[tmp_interleaved], options=opts) except Exception as e: log.error("Error during kb count: %s", e) raise finally: for path in (tmp_fastq1, tmp_fastq2, tmp_fastq3, tmp_interleaved): if path and os.path.exists(path): try: os.unlink(path) except OSError as e: log.warning("Failed to delete temporary file %s: %s", path, e) # Add sample metadata to h5ad file if it was generated if h5ad: h5ad_files = glob.glob(os.path.join(out_dir, "counts_unfiltered", "*.h5ad")) if h5ad_files: for h5ad_file in h5ad_files: # Use the input bam filename (without extension) as sample name sample_name = os.path.splitext(os.path.basename(in_bam))[0] # Remove .bam if it's still there (handles .fastq.gz cases) if sample_name.endswith('.bam'): sample_name = os.path.splitext(sample_name)[0] self._add_sample_metadata_to_h5ad(h5ad_file, sample_name=sample_name) def extract(self, in_bam, index_file, target_ids, out_dir, t2g_file, protein=False, num_threads=None): """Extracts reads mapping to target ids from input reads (bam) Args: in_bam: unaligned read to extract reads from (FASTQ or BAM) index_file: kb_python index file out_dir: output directory t2g_file: transcript to gene mapping file protein: ref_fasta file contains amino acid sequences target_ids: list of target ids to extract num_threads: number of threads to use """ opts = { '-i': index_file, '-g': t2g_file, '-ts': target_ids, # Pass as list for multi-value option '-t': misc.sanitize_thread_count(num_threads) } if protein: opts['--aa'] = None tmp_fastq1 = file.mkstempfname('.1.fastq') tmp_fastq2 = file.mkstempfname('.2.fastq') tmp_fastq3 = file.mkstempfname('.s.fastq') tmp_interleaved = None try: if in_bam.lower().endswith('.fastq') or in_bam.lower().endswith('.fq') or in_bam.lower().endswith('.fastq.gz') or in_bam.lower().endswith('.fq.gz'): if not os.path.exists(in_bam): return # Input is already FASTQ, use it directly (don't delete it later) self.execute('kb extract', out_dir, args=[in_bam], options=opts) else: if samtools.SamtoolsTool().isEmpty(in_bam): return # Do not convert this to samtools bam2fq unless we can figure out how to replicate # the clipping functionality of Picard SamToFastq picard_tool = picard.SamToFastqTool() picard_opts = { 'CLIPPING_ATTRIBUTE': picard.SamToFastqTool.illumina_clipping_attribute, 'CLIPPING_ACTION': 'X' } picard_tool.execute(in_bam, tmp_fastq1, tmp_fastq2, outFastq0=tmp_fastq3, picardOptions=picard.PicardTools.dict_to_picard_opts(picard_opts), JVMmemory=picard_tool.jvmMemDefault) # Detect if input bam was paired by checking fastq 2 if os.path.getsize(tmp_fastq2) < os.path.getsize(tmp_fastq3): self.execute('kb extract', out_dir, args=[tmp_fastq3], options=opts) else: tmp_interleaved = file.mkstempfname('.interleaved.fastq') with open(tmp_fastq1, 'rb') as fastq1, open(tmp_fastq2, 'rb') as fastq2, open(tmp_interleaved, 'wb') as interleaved: while True: read1 = [fastq1.readline() for _ in range(4)] if not read1[0]: break if any(line == b'' for line in read1[1:]): raise ValueError("Unexpected end of read 1 FASTQ while interleaving paired data") read2 = [fastq2.readline() for _ in range(4)] if any(line == b'' for line in read2): raise ValueError("Unexpected end of read 2 FASTQ while interleaving paired data") interleaved.writelines(read1) interleaved.writelines(read2) if fastq2.readline(): raise ValueError("Read 2 FASTQ contains extra data after interleaving paired data") self.execute('kb extract', out_dir, args=[tmp_interleaved], options=opts) except Exception as e: log.error("Error during kb extract: %s", e) raise finally: for path in (tmp_fastq1, tmp_fastq2, tmp_fastq3, tmp_interleaved): if path and os.path.exists(path): try: os.unlink(path) except OSError as e: log.warning("Failed to delete temporary file %s: %s", path, e) def _extract_h5ad_from_tarball_to_tmpdir(self, count_tar, tmp_dir): """Helper function to extract h5ad file from a tarball into a temporary directory. Args: count_tar: input kb count tarball file (tar.gz or tar.zst format) tmp_dir: temporary directory to extract into Returns: Path to the extracted h5ad file """ file.extract_tarball(count_tar, tmp_dir) # Find h5ad file in counts_unfiltered folder h5ad_files = glob.glob(os.path.join(tmp_dir, "counts_unfiltered", "*.h5ad")) log.debug(f"Found h5ad files in {count_tar}: {h5ad_files}") if len(h5ad_files) == 0: raise FileNotFoundError(f"No .h5ad file found in counts_unfiltered/ directory of {count_tar}") if len(h5ad_files) > 1: log.warning(f"Multiple .h5ad files found in {count_tar}, using first one: {h5ad_files[0]}") return h5ad_files[0] def _add_sample_metadata_to_h5ad(self, h5ad_or_tarball, sample_name=None, tmp_dir_parent=None): """Add sample metadata to an h5ad file (in-place modification). Args: h5ad_or_tarball: path to h5ad file or tarball containing h5ad file sample_name: optional sample name to use. If not provided, will try to read from matrix.cells or use the filename as fallback tmp_dir_parent: parent directory for temporary files (optional, only used for tarballs) """ # Check if input is a tarball if tarfile.is_tarfile(h5ad_or_tarball) or h5ad_or_tarball.endswith('.tar.zst'): with file.tmp_dir(dir=tmp_dir_parent) as tmp_dir: log.debug(f"Extracting {h5ad_or_tarball} to temporary directory {tmp_dir}") h5ad_file = self._extract_h5ad_from_tarball_to_tmpdir(h5ad_or_tarball, tmp_dir) # Read sample name from matrix.cells file if not provided if sample_name is None: cells_file = os.path.join(tmp_dir, "matrix.cells") if os.path.exists(cells_file): with open(cells_file, 'r') as f: sample_name = f.read().strip() else: # Fallback to tarball basename if matrix.cells doesn't exist sample_name = os.path.splitext(os.path.splitext(os.path.basename(h5ad_or_tarball))[0])[0] log.warning(f"matrix.cells not found in {h5ad_or_tarball}, using filename as sample name: {sample_name}") # Load h5ad file adata = anndata.read_h5ad(h5ad_file) # Check if matrix.sample.barcodes exists and read barcodes barcodes = None barcodes_file = os.path.join(tmp_dir, "matrix.sample.barcodes") if os.path.exists(barcodes_file): with open(barcodes_file, 'r') as f: barcodes = [line.strip() for line in f] else: # Direct h5ad file h5ad_file = h5ad_or_tarball if sample_name is None: # Use filename as fallback sample_name = os.path.splitext(os.path.basename(h5ad_file))[0] log.warning(f"No sample name provided for {h5ad_file}, using filename as sample name: {sample_name}") adata = anndata.read_h5ad(h5ad_file) barcodes = None # Add sample metadata to observations adata.obs['sample'] = sample_name adata.obs['batch_name'] = sample_name # Add barcode info if available if barcodes is not None and len(barcodes) == adata.n_obs: adata.obs['batch_barcode'] = barcodes # Write back to the h5ad file adata.write_h5ad(h5ad_file) log.debug(f"Added sample metadata to {h5ad_file}: sample={sample_name}") def merge_h5ads(self, in_count_tars, out_h5ad, tmp_dir_parent=None): """Merge multiple kb count output tarballs into a single h5ad file. Args: in_count_tars: list of input kb count tarball files (tar.zst format) out_h5ad: output h5ad file path tmp_dir_parent: parent directory for temporary files (optional) """ assert len(in_count_tars) > 0, "no input count tarballs provided" adatas = [] for count_tar in in_count_tars: # Extract tarball to temporary directory with file.tmp_dir(dir=tmp_dir_parent) as tmp_dir: log.debug(f"Extracting {count_tar} to temporary directory {tmp_dir}") h5ad_file = self._extract_h5ad_from_tarball_to_tmpdir(count_tar, tmp_dir) log.debug(f"Extracted h5ad file: {h5ad_file}") # Load h5ad file without metadata adata = anndata.read_h5ad(h5ad_file) adatas.append(adata) # Handle single file case if len(adatas) == 1: log.warning("Only one count tarball provided - writing single file instead of merging") adatas[0].write_h5ad(out_h5ad) return # Check that all h5ad files have the same number of variables (genes) n_vars_ref = adatas[0].n_vars var_names_ref = adatas[0].var_names for i, adata in enumerate(adatas[1:], 1): if adata.n_vars != n_vars_ref: raise ValueError(f"Dimension mismatch: file {in_count_tars[0]} has {n_vars_ref} variables, " f"but file {in_count_tars[i]} has {adata.n_vars} variables") if not adata.var_names.equals(var_names_ref): raise ValueError(f"Variable names mismatch: file {in_count_tars[0]} and file {in_count_tars[i]} have different variable names") # Straight merge of all anndata objects without metadata combined = anndata.concat(adatas, join='outer', axis=0, fill_value=0) combined.write_h5ad(out_h5ad) def parse_h5ad_counts(self, h5ad_file): """Parse h5ad file and return gene IDs with their total counts. Args: h5ad_file: path to h5ad file Returns: List of tuples (gene_id, count) sorted by gene ID """ adata = anndata.read_h5ad(h5ad_file) counts_mtx = adata.X.toarray() if hasattr(adata.X, 'toarray') else adata.X gene_ids = adata.var.index.tolist() gene_totals = counts_mtx.sum(axis=0) if hasattr(gene_totals, 'A1'): # numpy matrix gene_totals = gene_totals.A1 return list(zip(gene_ids, gene_totals)) def extract_hit_ids_from_h5ad(self, h5ad_file, threshold=1): """Parse h5ad file and extract all target IDs with 1 or more hits. Assumes h5ad contains a single sample (single row). Args: h5ad_file: path to h5ad file or tarball containing h5ad file threshold: minimum count threshold to consider a target ID to return (default 1) Returns: List of target IDs (strings) with counts > 0 """ ## Check if file passed in is a tarball, if so we need to grab the h5ad if tarfile.is_tarfile(h5ad_file) or h5ad_file.endswith('.tar.zst'): with file.tmp_dir() as tmp_dir: h5ad_file = self._extract_h5ad_from_tarball_to_tmpdir(h5ad_file, tmp_dir) log.debug(f"Reading h5ad file from tarball: {h5ad_file}") adata = anndata.read_h5ad(h5ad_file) else: log.debug(f"Reading h5ad file: {h5ad_file}") adata = anndata.read_h5ad(h5ad_file) # Get count matrix and sum across all observations (rows) counts_mtx = adata.X.toarray() if hasattr(adata.X, 'toarray') else adata.X gene_totals = counts_mtx.sum(axis=0) if hasattr(gene_totals, 'A1'): # numpy matrix gene_totals = gene_totals.A1 # Extract gene IDs and filter to those with counts > 0 gene_ids = adata.var.index.tolist() hit_ids = [gene_id for gene_id, count in zip(gene_ids, gene_totals) if count > 0] if threshold is not None: hit_ids = [gene_id for gene_id, count in zip(gene_ids, gene_totals) if count >= threshold] return hit_ids ================================================ FILE: src/viral_ngs/classify/kma.py ================================================ ''' KMA k-mer alignment tool ''' import logging import os import os.path import shutil import subprocess from viral_ngs import core from viral_ngs.core import picard from viral_ngs.core import samtools from viral_ngs.core import file from viral_ngs.core import misc from builtins import super log = logging.getLogger(__name__) class KMA(core.Tool): def __init__(self, install_methods=None): if not install_methods: install_methods = [] install_methods.append(core.PrexistingUnixCommand(shutil.which('kma'), require_executability=False)) super(KMA, self).__init__(install_methods=install_methods) def version(self): '''Parse version from kma -v output''' try: result = subprocess.run(['kma', '-v'], capture_output=True, text=True, check=True) version_line = result.stdout.strip() or result.stderr.strip() if version_line: parts = version_line.split() if len(parts) >= 2: return parts[1] return 'unknown' except (subprocess.CalledProcessError, FileNotFoundError, IndexError): return 'unknown' @property def libexec(self): if not self.executable_path(): self.install_and_get_path() return os.path.dirname(self.executable_path()) def execute(self, command, args=None, options=None): '''Run a kma command. Args: command: Command to run (e.g., 'kma', 'kma_index'). args: List of positional args. options: Dict of keyword options. ''' options = options or {} args = args or [] cmd = [command] for key, value in options.items(): if value is None: cmd.append(key) else: cmd.extend([key, str(value)]) cmd.extend(args) log.debug('Calling %s: %s', command, ' '.join(cmd)) subprocess.check_call(cmd) def build(self, ref_fasta, db_prefix, num_threads=None): '''Build a KMA database from a reference FASTA file. Args: ref_fasta: Input reference FASTA file. db_prefix: Output database prefix. num_threads: Number of threads to use. ''' opts = { '-i': ref_fasta, '-o': db_prefix } if num_threads: opts['-t'] = misc.sanitize_thread_count(num_threads) self.execute('kma_index', options=opts) def classify(self, in_bam, db, out_prefix, num_threads=None): '''Classify reads from BAM file using KMA. Args: in_bam: Input unaligned reads in BAM format. db: KMA database prefix (without file extensions). out_prefix: Output prefix for KMA result files. num_threads: Number of threads to use. ''' if samtools.SamtoolsTool().isEmpty(in_bam): log.warning("Input BAM is empty, skipping KMA classification") with open(out_prefix + '.res', 'wt') as outf: pass return tmp_fastq1 = file.mkstempfname('.1.fastq') tmp_fastq2 = file.mkstempfname('.2.fastq') tmp_fastq3 = file.mkstempfname('.s.fastq') try: picard_tool = picard.SamToFastqTool() picard_opts = { 'CLIPPING_ATTRIBUTE': picard.SamToFastqTool.illumina_clipping_attribute, 'CLIPPING_ACTION': 'X' } picard_tool.execute(in_bam, tmp_fastq1, tmp_fastq2, outFastq0=tmp_fastq3, picardOptions=picard.PicardTools.dict_to_picard_opts(picard_opts), JVMmemory=picard_tool.jvmMemDefault) opts = { '-t_db': db, '-o': out_prefix } if num_threads: opts['-t'] = misc.sanitize_thread_count(num_threads) # SamToFastq outputs paired reads to tmp_fastq1/2 and unpaired to tmp_fastq3. # For true paired-end data, tmp_fastq2 will be larger than tmp_fastq3. # For single-end data, tmp_fastq2 is empty/tiny and tmp_fastq3 contains all reads. if os.path.getsize(tmp_fastq2) < os.path.getsize(tmp_fastq3): log.warning("running in single-end read mode") opts['-i'] = tmp_fastq3 else: opts['-ipe'] = ' '.join([tmp_fastq1, tmp_fastq2]) self.execute('kma', options=opts) finally: if os.path.exists(tmp_fastq1): os.unlink(tmp_fastq1) if os.path.exists(tmp_fastq2): os.unlink(tmp_fastq2) if os.path.exists(tmp_fastq3): os.unlink(tmp_fastq3) ================================================ FILE: src/viral_ngs/classify/kmc.py ================================================ ''' Tool wrapper for the KMC kmer counter ( http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&project=kmc&subpage=about ) ''' import logging import os import os.path import sys import subprocess import shlex import argparse import shutil import re import collections import Bio.SeqIO from viral_ngs import core from viral_ngs import read_utils from viral_ngs.core import samtools from viral_ngs.core import file from viral_ngs.core import misc TOOL_NAME = 'kmc' TOOL_VERSION = '3.1.1rc1' _log = logging.getLogger(__name__) # pylint: disable=invalid-name _chk = misc.chk DEFAULT_KMER_SIZE = 25 DEFAULT_COUNTER_CAP = 255 # default for "cap counter values at" params class KmcTool(core.Tool): '''Tool wrapper for KMC kmer counter''' def __init__(self, install_methods=None): if install_methods is None: install_methods = [core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=False)] core.Tool.__init__(self, install_methods=install_methods) def version(self): return TOOL_VERSION def _kmer_db_name(self, kmer_db): """Return the kmer database path, given either the db path of the file name of the .kmc_pre or .kmc_suf file""" base, ext = os.path.splitext(kmer_db) return base if ext in ('.kmc_pre', '.kmc_suf') else kmer_db def is_kmer_db(self, kmer_db): """Quickly check that the given kmer database exists""" kmer_db = self._kmer_db_name(kmer_db) return os.path.isfile(kmer_db + '.kmc_pre') and os.path.isfile(kmer_db + '.kmc_suf') def _get_file_format_opt(self, fname): """Get the KMC command-line option to specify file format""" file_type = file.uncompressed_file_type(fname) if file_type in ('.fasta', '.fa'): return 'm' elif file_type in ('.fastq', '.fq'): return 'q' elif file_type == '.bam': return 'bam' else: raise RuntimeError('Unknown seq file format: {}'.format(file_type)) def build_kmer_db(self, seq_files, kmer_db, kmer_size=DEFAULT_KMER_SIZE, min_occs=1, max_occs=misc.MAX_INT32, counter_cap=DEFAULT_COUNTER_CAP, single_strand=False, mem_limit_gb=8, mem_limit_laxness=0, threads=None, kmc_opts=''): """Build a database of kmers occurring in the given sequence files. Inputs: seq_files: filename(s) of files from which to gather kmers. Files can be fasta, fastq or bam; fasta and fastq may be compressed with gzip or bzip2. Outputs: kmer_db: kmer database path, with or without the .kmc_pre/.kmc_suf extension. Params: kmer_size: kmer size min_occs: ignore kmers occurring fewer than this many times max_occs: ignore kmers occurring more than this many times counter_cap: when writing kmer counts to the database, cap the values at this number single_strand: if True, do not include kmers from reverse complements of input sequences mem_limit_gb: max RAM to use when building kmer database. Might be exceeded unless `mem_limit_strict` is True. mem_limit_laxness: how strictly to adhere to `mem_limit_gb`: 0=strictly, higher values permit more laxness kmc_opts: any additional kmc flags """ seq_files = misc.make_seq(seq_files) kmer_db = self._kmer_db_name(kmer_db) threads = misc.sanitize_thread_count(threads) with file.tmp_dir(suffix='_kmc_db') as t_dir, \ file.tempfname(suffix='_kmc_seq_files') as seq_file_list: file.dump_file(seq_file_list, '\n'.join(seq_files)) args = ['-v'] input_fmt_opts_set = set(map(self._get_file_format_opt, seq_files)) _chk(len(input_fmt_opts_set) == 1, "All input sequence files must be in the same format") input_fmt_opt = list(input_fmt_opts_set)[0] args += '-f{} -k{} -ci{} -cx{} -cs{} -m{} -t{}'.format(input_fmt_opt, kmer_size, min_occs, max_occs, counter_cap, mem_limit_gb, threads).split() if single_strand: args += ['-b'] if mem_limit_laxness == 0: args += ['-sm'] # strict memory mode elif mem_limit_laxness == 2: args += ['-r'] # RAM-only mode if kmc_opts: args += shlex.split(kmc_opts) args += ['@'+seq_file_list, kmer_db, t_dir] tool_cmd = [self.install_and_get_path()] + args _log.info('Building kmer database with command: %s', ' '.join(tool_cmd)) subprocess.check_call(tool_cmd) _chk(os.path.isfile(kmer_db+'.kmc_pre') and os.path.isfile(kmer_db+'.kmc_suf'), 'kmer database files not created: {}'.format(kmer_db)) def execute(self, args, threads=None, return_output=False): # pylint: disable=arguments-differ """Run kmc_tools with the given args. If `return_output` is True, returns the stdout output.""" threads = misc.sanitize_thread_count(threads) tool_cmd = [self.install_and_get_path()+'_tools'] + ['-t{}'.format(threads)] + list(map(str, args)) _log.info('Running kmc_tools command: %s', ' '.join(tool_cmd)) result = None if not return_output: subprocess.check_call(tool_cmd) else: result = subprocess.check_output(tool_cmd).decode('utf-8') _log.info('Done running kmc_tools command: %s', ' '.join(tool_cmd)) return result def dump_kmer_counts(self, kmer_db, out_kmers, min_occs=1, max_occs=misc.MAX_INT32, threads=None): """Dump the kmers from the database, with their counts, to a text file. Kmers with counts below `min_occs` or above `max_occs` are ignored.""" self.execute('transform {} -ci{} -cx{} dump {}'.format(self._kmer_db_name(kmer_db), min_occs, max_occs, out_kmers).split(), threads=threads) _chk(os.path.isfile(out_kmers), 'dump_kmer_counts: output file not created') def read_kmer_counts(self, kmer_counts_txt): """Read kmer counts from a file written by dump_kmer_counts, as collections.Counter""" counts = collections.Counter() with file.open_or_gzopen(kmer_counts_txt) as kmers_f: for line in kmers_f: kmer, count = line.strip().split() counts[kmer] = int(count) return counts def get_kmer_counts(self, kmer_db, **kwargs): """Extract and return the kmer counts from the kmer database as a dict. `kwargs` are passed through to read_kmer_counts().""" with file.tempfname(suffix='_kmer_cnts.txt') as kmer_counts_file: self.dump_kmer_counts(kmer_db, out_kmers=kmer_counts_file, **kwargs) return self.read_kmer_counts(kmer_counts_file) def get_kmer_db_info(self, kmer_db): """Return params of a kmer db. This functionality is not documented in KMC docs but is supported ( https://github.com/refresh-bio/KMC/issues/83 ) Returns: an argparse.Namespace() with attributes kmer_size, min_occs, max_occs, counter_size_bytes, and total_kmers. """ output = self.execute(['info', self._kmer_db_name(kmer_db)], return_output=True, threads=1) db_info = dict(re.split('\\s+:\\s+', line.strip()) for line in output.strip().split('\n')) def fix_val(v): return v=='yes' if v in ('yes', 'no') else misc.as_type(v, (int, str)) db_info = {k: fix_val(v) for k, v in db_info.items()} return argparse.Namespace(kmer_size=db_info['k'], single_strand=not db_info['both strands'], min_occs=db_info['cutoff min'], max_occs=db_info['cutoff max'], counter_size_bytes=int(db_info['counter size'].split()[0]), total_kmers=db_info['total k-mers']) def filter_reads(self, kmer_db, in_reads, out_reads, db_min_occs=1, db_max_occs=misc.MAX_INT32, read_min_occs=0, read_max_occs=misc.MAX_INT32, read_min_occs_frac=0.0, read_max_occs_frac=1.0, hard_mask=False, threads=None): """Filter reads based on their kmer contents. Note that "occurrence of a kmer" means "occurrence of the kmer or its reverse complement" if kmer_db was built with single_strand==False. Inputs: kmer_db: the kmc kmer database in_reads: the reads to filter. can be a .fasta or .fastq or .bam; fasta or fastq can be compressed with gzip or bzip2. If a .bam, a read pair is kept if either mate passes the filter. Outputs: out_reads: file to which filtered reads are written. type is determined from extension, same types as above are supported. Params: db_min_occs: only consider database kmers with at least this count db_max_occs: only consider database kmers with at most this count read_min_occs: only keep reads with at least this many occurrences of kmers from database. read_max_occs: only keep reads with no more than this many occurrence of kmers from the database. read_min_occs_frac: only keep reads with at least this many occurrences of kmers from database, interpreted as a fraction of read length in kmers read_max_occs_frac: only keep reads with no more than this many occurrence of kmers from the database. interpreted as a fraction of read length in kmers. (Note: minimal read kmer content can be given as absolute counts or fraction of read length, but not both). hard_mask: if True, in the output reads, kmers not passing the filter are replaced by Ns threads: use this many threads """ _log.debug('FILTER_READS: locals=%s dbinfo=%s', locals(), self.get_kmer_db_info(kmer_db)) abs_thresholds = (read_min_occs, read_max_occs) != (0, misc.MAX_INT32) rel_thresholds = (read_min_occs_frac, read_max_occs_frac) != (0., 1.) if not (abs_thresholds or rel_thresholds): abs_thresholds = True _chk(not (abs_thresholds and rel_thresholds), "Mixing absolute and relative thresholds for kmer content not currently supported") _chk(0 <= read_min_occs <= read_max_occs <= misc.MAX_INT32, 'Invalid kmer contents thresholds') _chk(0.0 <= read_min_occs_frac <= read_max_occs_frac <= 1.0, 'Invalid kmer contents thresholds') in_reads_type = file.uncompressed_file_type(in_reads) _in_reads = in_reads _out_reads = out_reads with file.tmp_dir(suffix='_kmcfilt') as t_dir: if in_reads_type in ('.fa', '.fasta'): # kmc_tools filter currently requires fasta files to be in fasta-2line format # https://github.com/refresh-bio/KMC/issues/57 _in_reads = os.path.join(t_dir, 'in_reads.fasta') Bio.SeqIO.convert(in_reads, 'fasta', _in_reads, 'fasta-2line') if in_reads_type == '.bam': # kmc_tools filter currently does not support .bam files # https://github.com/refresh-bio/KMC/issues/66 _in_reads = os.path.join(t_dir, 'in_reads.fasta') samtools.SamtoolsTool().bam2fa(in_reads, _in_reads) _out_reads = os.path.join(t_dir, 'out_reads.fasta') # TODO: if db is single-strand, reverse-complement read2's? in_reads_fmt = 'q' if in_reads_type in ('.fq', '.fastq') else 'a' if os.path.getsize(self._kmer_db_name(kmer_db)+'.kmc_suf') == 8: _chk(self.get_kmer_db_info(kmer_db).total_kmers == 0, 'Something odd: did kmc file format change?') # kmc has a bug filtering on empty kmer databases: # https://github.com/refresh-bio/KMC/issues/86 if read_min_occs > 0 or read_min_occs_frac > 0.0: file.make_empty(_out_reads) else: shutil.copyfile(_in_reads, _out_reads) else: thresholds_opt = ' -ci{} -cx{}'.format(*((read_min_occs, read_max_occs) if abs_thresholds else \ (read_min_occs_frac, read_max_occs_frac))) self.execute('filter {} {} -ci{} -cx{} {} -f{} {} {}'.format('-hm' if hard_mask else '', self._kmer_db_name(kmer_db), db_min_occs, db_max_occs, _in_reads, in_reads_fmt, thresholds_opt, _out_reads).split(), threads=threads) if in_reads_type == '.bam': _chk(out_reads.endswith('.bam'), 'output from .bam to non-.bam not yet supported') passing_read_names = os.path.join(t_dir, 'passing_read_names.txt') read_utils.fasta_read_names(_out_reads, passing_read_names) # Load passing read names into ReadIdStore and filter BAM (keep matching reads) db_path = os.path.join(t_dir, 'read_ids.db') with read_utils.ReadIdStore(db_path) as store: store.add_from_readlist(passing_read_names) store.filter_bam_by_ids(in_reads, out_reads, include=True) # end: with file.tmp_dir(suffix='kmcfilt') as t_dir # end: def filter_reads(self, kmer_db, in_reads, out_reads, db_min_occs=1, db_max_occs=misc.MAX_INT32, ...) def kmers_binary_op(self, op, kmer_db1, kmer_db2, kmer_db_out, result_min_occs=1, result_max_occs=misc.MAX_INT32, result_counter_cap=DEFAULT_COUNTER_CAP, threads=None): """Perform a simple binary operation on two kmer sets""" kmer_db1, kmer_db2, kmer_db_out = map(self._kmer_db_name, (kmer_db1, kmer_db2, kmer_db_out)) # db1_min_occs, db1_max_occs, db2_min_occs, db2_max_occs, db_out_min_occs, db_out_max_occs, self.execute(['simple', kmer_db1, kmer_db2, op, kmer_db_out, '-ci{}'.format(result_min_occs), '-cx{}'.format(result_max_occs), '-cs{}'.format(result_counter_cap)], threads=threads) _chk(self.is_kmer_db(kmer_db_out), 'kmer_binary_op: output not created') def set_kmer_counts(self, kmer_db_in, value, kmer_db_out, threads=None): """Create a copy of the kmer database with all counts set to specified value""" _chk(1 <= value <= misc.MAX_INT32, 'can only set kmer counts to a positive 32-bit int') kmer_db_in, kmer_db_out = map(self._kmer_db_name, (kmer_db_in, kmer_db_out)) # db1_min_occs, db1_max_occs, db2_min_occs, db2_max_occs, db_out_min_occs, db_out_max_occs, self.execute(['transform', kmer_db_in, 'set_counts', value, kmer_db_out], threads=threads) _chk(self.is_kmer_db(kmer_db_out), 'set_kmer_counts: output not created') # end: class KmcTool(core.Tool) ================================================ FILE: src/viral_ngs/classify/kraken2.py ================================================ ''' KRAKEN metagenomics classifier ''' import collections import concurrent.futures import itertools import logging import os import os.path import shutil import subprocess import sys import tempfile from viral_ngs import core from viral_ngs.core import picard from viral_ngs.core import samtools from viral_ngs.core import file from viral_ngs.core import misc from builtins import super log = logging.getLogger(__name__) class Kraken2(core.Tool): def __init__(self, install_methods=None): if not install_methods: install_methods = [] install_methods.append(core.PrexistingUnixCommand(shutil.which('kraken2'), require_executability=False)) super(Kraken2, self).__init__(install_methods=install_methods) def version(self): return '2' @property def libexec(self): if not self.executable_path(): self.install_and_get_path() return os.path.dirname(self.executable_path()) def build(self, db, standard_libraries=(), custom_libraries=(), taxdump_out=None, k=None, l=None, s=None, protein=False, max_db_size=None, tax_db=None, num_threads=None): '''Create a kraken2 database. Args: db: output directory standard_libraries: a list of strings from the set of: "archaea", "bacteria", "plasmid", "viral", "human", "fungi", "plant", "protozoa", "nr", "nt", "env_nr", "env_nt", "UniVec", "UniVec_Core" ''' # all the library download and dustmasking can be *easily* parallelized with concurrent.futures.ProcessPoolExecutor( max_workers=misc.sanitize_thread_count(num_threads)) as executor: futs = [] # use or fetch taxonomy database if tax_db: file.mkdir_p(db) futs.append(executor.submit(shutil.copytree, tax_db, os.path.join(db, 'taxonomy'))) else: if protein: futs.append(executor.submit(self.execute, 'kraken2-build', db, None, options={'--download-taxonomy': None, '--protein': None})) else: futs.append(executor.submit(self.execute, 'kraken2-build', db, None, options={'--download-taxonomy': None})) # add standard libraries: if standard_libraries: for lib in standard_libraries: if protein: futs.append(executor.submit(self.execute, 'kraken2-build', db, None, options={'--download-library': lib, '--protein':None})) else: futs.append(executor.submit(self.execute, 'kraken2-build', db, None, options={'--download-library': lib})) # add custom libraries: if custom_libraries: for lib in custom_libraries: if protein: futs.append(executor.submit(self.execute, 'kraken2-build', db, None, options={'--add-to-library': lib, '--protein': None})) else: futs.append(executor.submit(self.execute, 'kraken2-build', db, None, options={'--add-to-library': lib})) # properly raise exceptions from any of the above jobs for fut in concurrent.futures.as_completed(futs): fut.result() # build db build_opts = { '--build': None, '--threads': misc.sanitize_thread_count(num_threads) } if k: build_opts['--kmer-len'] = k if l: build_opts['--minimizer-len'] = l if s: build_opts['--minimizer-spaces'] = s if protein: build_opts['--protein'] = None if max_db_size: build_opts['--max-db-size'] = max_db_size self.execute('kraken2-build', db, None, options=build_opts) # grab the taxdump for krona! if taxdump_out: shutil.copyfile(os.path.join(db, 'taxonomy', 'taxdump.tar.gz'), taxdump_out) # clean db self.execute('kraken2-build', db, None, options={ '--threads':misc.sanitize_thread_count(num_threads), '--clean': None }) def inspect(self, db, output, num_threads=None): with open(output, 'wt') as outf: subprocess.check_call('kraken2-inspect', '--db', db, '--threads', misc.sanitize_thread_count(num_threads), stdout=outf) def execute(self, command, db, output, args=None, options=None): '''Run a kraken-* command. Args: db: Kraken database directory. output: Output file of command. args: List of positional args. options: List of keyword options. ''' options = options or {} if output: options['--output'] = output args = args or [] cmd = [command, '--db', db] # We need some way to allow empty options args like --build, hence # we filter out on 'x is None'. cmd.extend([str(x) for x in itertools.chain(*options.items()) if x is not None]) cmd.extend(args) log.debug('Calling %s: %s', command, ' '.join(cmd)) subprocess.check_call(cmd) def pipeline(self, db, in_bams, out_reports=None, out_reads=None, min_base_qual=None, confidence=None, minimum_hit_groups=None, num_threads=None): assert out_reads is not None or out_reports is not None out_reports = out_reports or [] out_reads = out_reads or [] for in_bam, out_read, out_report in itertools.zip_longest(in_bams, out_reads, out_reports): self.classify(in_bam, db, out_reads=out_read, out_report=out_report, min_base_qual=min_base_qual, confidence=confidence, minimum_hit_groups=minimum_hit_groups, num_threads=None) def classify(self, in_bam, db, out_reads=None, out_report=None, confidence=None, min_base_qual=None, minimum_hit_groups=None, num_threads=None): """Classify input reads (bam) Args: in_bam: unaligned reads db: Kraken built database directory. out_reads: Output file of command. """ if samtools.SamtoolsTool().isEmpty(in_bam): # kraken cannot deal with empty input if out_reads: with open(out_reads, 'wt') as outf: pass if out_report: with open(out_report, 'wt') as outf: pass return opts = { '--threads': misc.sanitize_thread_count(num_threads) } if out_report: opts['--report'] = out_report if not out_reads: out_reads = '-' # in kraken2, this suppresses normal output if min_base_qual: opts['--minimum-base-quality'] = min_base_qual if confidence: opts['--confidence'] = confidence if minimum_hit_groups: opts['--minimum-hit-groups'] = minimum_hit_groups tmp_fastq1 = file.mkstempfname('.1.fastq') tmp_fastq2 = file.mkstempfname('.2.fastq') tmp_fastq3 = file.mkstempfname('.s.fastq') # Do not convert this to samtools bam2fq unless we can figure out how to replicate # the clipping functionality of Picard SamToFastq picard_tool = picard.SamToFastqTool() picard_opts = { 'CLIPPING_ATTRIBUTE': picard.SamToFastqTool.illumina_clipping_attribute, 'CLIPPING_ACTION': 'X' } picard_tool.execute(in_bam, tmp_fastq1, tmp_fastq2, outFastq0=tmp_fastq3, picardOptions=picard.PicardTools.dict_to_picard_opts(picard_opts), JVMmemory=picard_tool.jvmMemDefault) if out_report: opts['--report'] = out_report # Detect if input bam was paired by checking fastq 2 if os.path.getsize(tmp_fastq2) < os.path.getsize(tmp_fastq3): log.warn("running in single-end read mode!") res = self.execute('kraken2', db, out_reads, args=[tmp_fastq3], options=opts) else: opts['--paired'] = None res = self.execute('kraken2', db, out_reads, args=[tmp_fastq1, tmp_fastq2], options=opts) os.unlink(tmp_fastq1) os.unlink(tmp_fastq2) os.unlink(tmp_fastq3) ================================================ FILE: src/viral_ngs/classify/krona.py ================================================ from viral_ngs import core import os.path import subprocess import shutil from builtins import super from viral_ngs.core import file TOOL_NAME = 'krona' class Krona(core.Tool): def __init__(self, install_methods=None): if not install_methods: install_methods = [core.PrexistingUnixCommand(shutil.which('ktImportTaxonomy'))] super(Krona, self).__init__(install_methods=install_methods) @property def opt(self): if not self.executable_path(): self.install_and_get_path() bin_path = os.path.dirname(self.executable_path()) # Get at the opt directory from the conda env root opt = os.path.abspath(os.path.join(bin_path, '..', 'opt', 'krona')) return opt def import_taxonomy(self, db, input_tsvs, output, query_column=None, taxid_column=None, score_column=None, magnitude_column=None, root_name=None, no_hits=None, no_rank=None): if not self.executable_path(): self.install_and_get_path() bin_path = os.path.dirname(self.executable_path()) env = os.environ.copy() env['PATH'] = '{}:{}'.format(bin_path, env['PATH']) cmd = ['ktImportTaxonomy', '-tax', db, '-o', output] if query_column is not None: cmd.extend(['-q', str(query_column)]) if taxid_column is not None: cmd.extend(['-t', str(taxid_column)]) if score_column is not None: cmd.extend(['-s', str(score_column)]) if magnitude_column is not None: cmd.extend(['-m', str(magnitude_column)]) if root_name is not None: cmd.extend(['-n', root_name]) if no_hits is not None: cmd.append('-i') if no_rank is not None: cmd.append('-k') cmd.extend(input_tsvs) subprocess.check_call(cmd, env=env) def create_db(self, db_dir): """Caution - this deletes the original .dmp files.""" if not self.executable_path(): self.install_and_get_path() bin_path = os.path.dirname(self.executable_path()) env = os.environ.copy() env['PATH'] = '{}:{}'.format(bin_path, env['PATH']) sh = os.path.join(self.opt, 'updateTaxonomy.sh') cmd = [sh, '--only-build', os.path.abspath(db_dir)] subprocess.check_call(cmd, env=env) def build_db(self, db_dir, taxdump_tar_gz=None, get_accessions=False): """More all-in-one version of above""" if not self.executable_path(): self.install_and_get_path() bin_path = os.path.dirname(self.executable_path()) env = os.environ.copy() env['PATH'] = '{}:{}'.format(bin_path, env['PATH']) file.mkdir_p(db_dir) # get taxdump.tar.gz if taxdump_tar_gz: shutil.copyfile(taxdump_tar_gz, os.path.join(db_dir, 'taxdump.tar.gz')) else: cmd = [os.path.join(self.opt, 'updateTaxonomy.sh'), '--only-fetch', os.path.abspath(db_dir)] subprocess.check_call(cmd, env=env) # get accessions if get_accessions: cmd = [os.path.join(self.opt, 'updateAccessions.sh'), '--only-fetch', os.path.abspath(db_dir)] subprocess.check_call(cmd, env=env) # build taxdb cmd = [os.path.join(self.opt, 'updateTaxonomy.sh'), '--only-build', os.path.abspath(db_dir)] subprocess.check_call(cmd, env=env) # build accessions if get_accessions: cmd = [os.path.join(self.opt, 'updateAccessions.sh'), '--only-build', os.path.abspath(db_dir)] subprocess.check_call(cmd, env=env) ================================================ FILE: src/viral_ngs/classify/last.py ================================================ "Tools in the 'last' suite." # built-ins import os import logging import shutil import subprocess # within this module from viral_ngs.core import file from viral_ngs.core import misc from viral_ngs import core from viral_ngs.core import samtools _log = logging.getLogger(__name__) TOOL_NAME = "last" class LastTools(core.Tool): """ "Abstract" base class for tools in the 'last' suite. Subclasses must define class members subtool_name #and subtool_name_on_broad. """ def __init__(self, install_methods=None): self.subtool_name = self.subtool_name if hasattr(self, "subtool_name") else TOOL_NAME if install_methods is None: install_methods = [core.PrexistingUnixCommand(shutil.which(self.subtool_name), require_executability=False)] core.Tool.__init__(self, install_methods=install_methods) class Lastal(LastTools): """ wrapper for lastal subtool """ subtool_name = 'lastal' def get_hits(self, inBam, db, max_gapless_alignments_per_position=1, min_length_for_initial_matches=5, max_length_for_initial_matches=50, max_initial_matches_per_position=100, threads=None ): # convert BAM to interleaved FASTQ with no /1 /2 appended to the read IDs fastq_pipe = samtools.SamtoolsTool().bam2fq_pipe(inBam) # run lastal and emit list of read IDs # -P 0 = use threads = core count # -N 1 = report at most one alignment per query sequence # -i 1G = perform work in batches of at most 1GB of query sequence at a time # -f tab = write output in tab format instead of maf format cmd = [self.install_and_get_path(), '-n', max_gapless_alignments_per_position, '-l', min_length_for_initial_matches, '-L', max_length_for_initial_matches, '-m', max_initial_matches_per_position, '-Q', '1', '-P', str(misc.sanitize_thread_count(threads, tool_max_cores_value=0)), '-N', '1', '-i', '1G', '-f', 'tab', db, ] cmd = [str(x) for x in cmd] _log.debug('| ' + ' '.join(cmd) + ' |') lastal_pipe = subprocess.Popen(cmd, stdin=fastq_pipe.stdout, stdout=subprocess.PIPE) if fastq_pipe.poll(): raise subprocess.CalledProcessError(fastq_pipe.returncode, "SamtoolsTool().bam2fq_pipe({})".format(inBam)) # strip tab output to just query read ID names and emit last_read_id = None for line in lastal_pipe.stdout: line = line.decode('UTF-8').rstrip('\n\r') if not line.startswith('#'): read_id = line.split('\t')[6] # only emit if it is not a duplicate of the previous read ID if read_id != last_read_id: last_read_id = read_id yield read_id if lastal_pipe.poll(): raise subprocess.CalledProcessError(lastal_pipe.returncode, cmd) class Lastdb(LastTools): """ wrapper for lastdb subtool """ subtool_name = 'lastdb' def is_indexed(self, db_prefix): return all(os.path.exists(db_prefix + x) for x in ('.bck', '.des', '.prj', '.sds', '.ssp', '.suf', '.tis')) def build_database(self, fasta_files, database_prefix_path=None): # pylint: disable=W0221 if database_prefix_path is None: output_file_prefix = "lastdb" output_directory = tempfile.mkdtemp() else: output_file_prefix = os.path.basename(os.path.abspath(database_prefix_path)) output_directory = os.path.dirname(os.path.abspath(database_prefix_path)) # we can pass in a string containing a fasta file path # or a list of strings if isinstance(fasta_files, str): fasta_files = [fasta_files] elif isinstance(fasta_files, list) and fasta_files: pass else: raise TypeError("fasta_files was not a single fasta file, nor a list of fasta files") # or something along that line # if more than one fasta file is specified, join them # otherwise if only one is specified, just use it if len(fasta_files) == 1 and not fasta_files[0].endswith('.gz'): input_fasta = fasta_files[0] else: input_fasta = file.mkstempfname(".fasta") file.cat(input_fasta, fasta_files) # automatically decompresses gz inputs self.execute(input_fasta, output_directory, output_file_prefix) return os.path.join(output_directory, output_file_prefix) def execute(self, inputFasta, outputDirectory, outputFilePrefix): # pylint: disable=W0221 # get the path to the binary tool_cmd = [self.install_and_get_path()] # if the output directory (and its parents) do not exist, create them if not os.path.exists(outputDirectory): os.makedirs(outputDirectory) # append the prefix given to files created by lastdb tool_cmd.append(outputFilePrefix) # append the input filepath tool_cmd.append(os.path.realpath(inputFasta)) # execute the lastdb command # lastdb writes files to the current working directory, so we need to set # it to the desired output location with file.pushd_popd(os.path.realpath(outputDirectory)): _log.debug(" ".join(tool_cmd)) subprocess.check_call(tool_cmd) ================================================ FILE: src/viral_ngs/classify/taxonomy.py ================================================ """ NCBI Taxonomy database utilities. This module provides classes and functions for working with NCBI taxonomy data, including taxonomy ID lookups, LCA calculations, and tree traversal. """ import collections import itertools import logging import operator import os import pysam from ..core import file as util_file log = logging.getLogger(__name__) class TaxIdError(ValueError): '''Taxonomy ID couldn't be determined.''' def maybe_compressed(fn): """Check for file existence, returning .gz version if original not found.""" fn_gz = fn + '.gz' if os.path.exists(fn): return fn elif os.path.exists(fn_gz): return fn_gz else: raise FileNotFoundError(fn) BlastRecord = collections.namedtuple( 'BlastRecord', [ 'query_id', 'subject_id', 'percent_identity', 'aln_length', 'mismatch_count', 'gap_open_count', 'query_start', 'query_end', 'subject_start', 'subject_end', 'e_val', 'bit_score', 'extra' ] ) def blast_records(f): '''Yield blast m8 records line by line''' for line in f: if line.startswith('#'): continue parts = line.strip().split() for field in range(3, 10): parts[field] = int(parts[field]) for field in (2, 10, 11): parts[field] = float(parts[field]) args = parts[:12] extra = parts[12:] args.append(extra) yield BlastRecord(*args) def paired_query_id(record): '''Replace paired suffixes in query ids.''' suffixes = ('/1', '/2') for suffix in suffixes: if record.query_id.endswith(suffix): rec_list = list(record) rec_list[0] = record.query_id[:-len(suffix)] return BlastRecord(*rec_list) return record def blast_m8_taxids(record): return [int(record.subject_id)] def extract_tax_id(sam1): '''Replace gi headers in subject ids to int taxonomy ids.''' parts = sam1.reference_name.split('|') if parts[0] == 'taxid': return int(parts[1]) else: raise TaxIdError(parts) def coverage_lca(query_ids, parents, lca_percent=100): '''Calculate the lca that will cover at least this percent of queries. Args: query_ids: []int list of nodes. parents: []int array of parents. lca_percent: (float) Cover at least this percent of queries. Return: (int) LCA ''' lca_needed = lca_percent / 100 * len(query_ids) paths = [] for query_id in query_ids: path = [] while query_id != 1: path.append(query_id) if parents.get(query_id, 0) == 0: log.warning('Parent for query id: {} missing'.format(query_id)) break query_id = parents[query_id] if query_id == 1: path.append(1) path = list(reversed(path)) paths.append(path) if not paths: return last_common = 1 max_path_length = max(len(path) for path in paths) for level in range(max_path_length): valid_paths = (path for path in paths if len(path) > level) max_query_id, hits_covered = collections.Counter(path[level] for path in valid_paths).most_common(1)[0] if hits_covered >= lca_needed: last_common = max_query_id else: break return last_common def parents_to_children(parents): '''Convert an array of parents to lists of children for each parent. Returns: (dict[list]) Lists of children ''' children = collections.defaultdict(list) for node, parent in parents.items(): if node == 1: continue if parent != 0: children[parent].append(node) return children def rank_code(rank): '''Get the short 1 letter rank code for named ranks.''' if rank == "species": return "S" elif rank == "genus": return "G" elif rank == "family": return "F" elif rank == "order": return "O" elif rank == "class": return "C" elif rank == "phylum": return "P" elif rank == "kingdom": return "K" elif rank == "superkingdom": return "D" elif rank == "unclassified": return "U" else: return "-" class TaxonomyDb(object): """ NCBI Taxonomy database handler. This class loads NCBI taxonomy information from: ftp://ftp.ncbi.nlm.nih.gov/pub/taxonomy/ """ def __init__( self, tax_dir=None, gis=None, nodes=None, names=None, gis_paths=None, nodes_path=None, names_path=None, load_gis=False, load_nodes=False, load_names=False ): if tax_dir: if load_gis and not gis: gis_paths = [maybe_compressed(os.path.join(tax_dir, 'gi_taxid_nucl.dmp')), maybe_compressed(os.path.join(tax_dir, 'gi_taxid_prot.dmp'))] else: gis_paths = [] nodes_path = load_nodes and maybe_compressed(os.path.join(tax_dir, 'nodes.dmp')) or None names_path = load_names and maybe_compressed(os.path.join(tax_dir, 'names.dmp')) or None self.tax_dir = tax_dir self.gis_paths = gis_paths self.nodes_path = nodes_path self.names_path = names_path if load_gis: if gis: self.gis = gis elif gis_paths: self.gis = {} for gi_path in gis_paths: log.info('Loading taxonomy gis: %s', gi_path) self.gis.update(self.load_gi_single_dmp(gi_path)) if load_nodes: if nodes: self.ranks, self.parents = nodes elif nodes_path: log.info('Loading taxonomy nodes: %s', nodes_path) self.ranks, self.parents = self.load_nodes(nodes_path) if load_names: if names: self.names = names elif names_path: log.info('Loading taxonomy names: %s', names_path) self.names = self.load_names(names_path) def load_gi_single_dmp(self, dmp_path): '''Load a gi->taxid dmp file from NCBI taxonomy.''' gi_array = {} with util_file.open_or_gzopen(dmp_path) as f: for i, line in enumerate(f): gi, taxid = line.strip().split('\t') gi = int(gi) taxid = int(taxid) gi_array[gi] = taxid if (i + 1) % 1000000 == 0: log.info('Loaded %s gis', i) return gi_array def load_names(self, names_db, scientific_only=True): '''Load the names.dmp file from NCBI taxonomy.''' if scientific_only: names = {} else: names = collections.defaultdict(list) for line in util_file.open_or_gzopen(names_db): parts = line.strip().split('|') taxid = int(parts[0]) name = parts[1].strip() class_ = parts[3].strip() if scientific_only: if class_ == 'scientific name': names[taxid] = name else: names[taxid].append(name) return names def load_nodes(self, nodes_db): '''Load ranks and parents arrays from NCBI taxonomy.''' ranks = {} parents = {} with util_file.open_or_gzopen(nodes_db) as f: for line in f: parts = line.strip().split('|') taxid = int(parts[0]) parent_taxid = int(parts[1]) rank = parts[2].strip() parents[taxid] = parent_taxid ranks[taxid] = rank return ranks, parents def get_ordered_ancestors(self, taxid): ''' returns all ancestors of a taxid in proximity order: [parent, grandparent, greatgrandparent, etc] ''' if taxid in self.parents and taxid != self.parents[taxid]: return [self.parents[taxid]] + self.get_ordered_ancestors(self.parents[taxid]) else: return [] def process_blast_hits(self, hits, top_percent): '''Filter groups of blast hits and perform lca. Args: hits: []BlastRecord groups of hits. top_percent: (float) Only consider hits within this percent of top bit score. Return: (int) Tax id of LCA. ''' hits = (self.translate_gi_to_tax_id(hit) for hit in hits) hits = [hit for hit in hits if hit.subject_id != 0] if len(hits) == 0: return best_score = max(hit.bit_score for hit in hits) cutoff_bit_score = (100 - top_percent) / 100 * best_score valid_hits = (hit for hit in hits if hit.bit_score >= cutoff_bit_score) valid_hits = list(valid_hits) # Sort requires realized list valid_hits.sort(key=operator.attrgetter('bit_score'), reverse=True) if valid_hits: tax_ids = tuple(itertools.chain(*(blast_m8_taxids(hit) for hit in valid_hits))) return coverage_lca(tax_ids, self.parents) def process_sam_hits(self, sam_hits, top_percent): '''Filter groups of blast hits and perform lca. Args: sam_hits: []Sam groups of hits. top_percent: (float) Only consider hits within this percent of top bit score. Return: (int) Tax id of LCA. ''' best_score = max(hit.get_tag('AS') for hit in sam_hits) cutoff_alignment_score = (100 - top_percent) / 100 * best_score valid_hits = (hit for hit in sam_hits if hit.get_tag('AS') >= cutoff_alignment_score) valid_hits = list(valid_hits) # Sort requires realized list valid_hits.sort(key=lambda sam1: sam1.get_tag('AS'), reverse=True) tax_ids = [extract_tax_id(hit) for hit in valid_hits] return coverage_lca(tax_ids, self.parents) def translate_gi_to_tax_id(self, record): '''Replace gi headers in subject ids to int taxonomy ids.''' gi = int(record.subject_id.split('|')[1]) tax_id = self.gis[gi] rec_list = list(record) rec_list[1] = tax_id return BlastRecord(*rec_list) def sam_lca(self, sam_file, output=None, top_percent=10, unique_only=True): ''' Calculate the LCA taxonomy id for multi-mapped reads in a samfile. Assumes the sam is sorted by query name. Writes tsv output: query_id \t tax_id. Args: sam_file: (path) Sam file. output: (io) Output file. top_percent: (float) Only this percent within top hit are used. unique_only: (bool) If true, only output assignments for unique, mapped reads. If False, set unmapped or duplicate reads as unclassified. Return: (collections.Counter) Counter of taxid hits ''' c = collections.Counter() with pysam.AlignmentFile(sam_file, 'rb') as sam: seg_groups = (v for k, v in itertools.groupby(sam, operator.attrgetter('query_name'))) for seg_group in seg_groups: segs = list(seg_group) query_name = segs[0].query_name # 0x4 is unmapped, 0x400 is duplicate mapped_segs = [seg for seg in segs if seg.flag & 0x4 == 0 and seg.flag & 0x400 == 0] if unique_only and not mapped_segs: continue if mapped_segs: tax_id = self.process_sam_hits(mapped_segs, top_percent) if tax_id is None: log.warning('Query: {} has no valid taxonomy paths.'.format(query_name)) if unique_only: continue else: tax_id = 0 else: tax_id = 0 if output: classified = 'C' if tax_id else 'U' output.write('{}\t{}\t{}\n'.format(classified, query_name, tax_id)) c[tax_id] += 1 return c def sam_lca_report(self, bam_aligned, outReport, outReads=None, unique_only=None): if outReads: lca_tsv = outReads else: lca_tsv = util_file.mkstempfname('.tsv') with util_file.open_or_gzopen(lca_tsv, 'wt') as lca: hits = self.sam_lca(bam_aligned, lca, top_percent=10, unique_only=unique_only) with open(outReport, 'w') as f: for line in self.kraken_dfs_report(hits): print(line, file=f) def blast_lca(self, m8_file, output, paired=False, min_bit_score=50, max_expected_value=0.01, top_percent=10,): '''Calculate the LCA taxonomy id for groups of blast hits. Writes tsv output: query_id \t tax_id Args: m8_file: (io) Blast m8 file to read. output: (io) Output file. paired: (bool) Whether to count paired suffixes /1,/2 as one group. min_bit_score: (float) Minimum bit score or discard. max_expected_value: (float) Maximum e-val or discard. top_percent: (float) Only this percent within top hit are used. ''' records = blast_records(m8_file) records = (r for r in records if r.e_val <= max_expected_value) records = (r for r in records if r.bit_score >= min_bit_score) if paired: records = (paired_query_id(rec) for rec in records) blast_groups = (v for k, v in itertools.groupby(records, operator.attrgetter('query_id'))) for blast_group in blast_groups: blast_group = list(blast_group) tax_id = self.process_blast_hits(blast_group, top_percent) query_id = blast_group[0].query_id if not tax_id: log.debug('Query: {} has no valid taxonomy paths.'.format(query_id)) classified = 'C' if tax_id else 'U' output.write('{}\t{}\t{}\n'.format(classified, query_id, tax_id)) def kraken_dfs(self, lines, taxa_hits, total_hits, taxid, level): '''Recursively do DFS for number of hits per taxa.''' cum_hits = num_hits = taxa_hits.get(taxid, 0) for child_taxid in self.children[taxid]: cum_hits += self.kraken_dfs(lines, taxa_hits, total_hits, child_taxid, level + 1) percent_covered = '%.2f' % (cum_hits / total_hits * 100) rank = rank_code(self.ranks[taxid]) name = self.names[taxid] if cum_hits > 0: lines.append('\t'.join([percent_covered, str(cum_hits), str(num_hits), rank, str(taxid), ' ' * level + name])) return cum_hits def kraken_dfs_report(self, taxa_hits): '''Return a kraken compatible DFS report of taxa hits. Warning: this potentially mutates the self.children variable Args: taxa_hits: (collections.Counter) # of hits per tax id. Return: []str lines of the report ''' self.children = parents_to_children(self.parents) # huh??? are we sure we want to mutate? total_hits = sum(taxa_hits.values()) if total_hits == 0: return ['\t'.join(['100.00', '0', '0', 'U', '0', 'unclassified'])] lines = [] self.kraken_dfs(lines, taxa_hits, total_hits, 1, 0) unclassified_hits = taxa_hits.get(0, 0) unclassified_hits += taxa_hits.get(-1, 0) if unclassified_hits > 0: percent_covered = '%.2f' % (unclassified_hits / total_hits * 100) lines.append( '\t'.join([ str(percent_covered), str(unclassified_hits), str(unclassified_hits), 'U', '0', 'unclassified' ]) ) return reversed(lines) ================================================ FILE: src/viral_ngs/core/__init__.py ================================================ '''Core module containing Tool base classes, utilities, and bioinformatics tool wrappers. This module consolidates what was previously in tools/ and util/ directories. ''' __author__ = "dpark@broadinstitute.org,irwin@broadinstitute.org" import collections import json import operator import os import re import logging import tempfile import shutil import shlex import subprocess from urllib.request import urlretrieve from urllib.parse import urlparse _log = logging.getLogger(__name__) # Registry of installed tools installed_tools = {} def iter_leaf_subclasses(a_class): "Iterate over subclasses at all levels that don't themselves have a subclass" is_leaf = True for subclass in sorted(a_class.__subclasses__(), key=operator.attrgetter("__name__")): is_leaf = False for leaf_class in iter_leaf_subclasses(subclass): if not getattr(leaf_class, '_skiptest', False): yield leaf_class if is_leaf: yield a_class def all_tool_classes(): return iter_leaf_subclasses(Tool) def get_tool_by_name(name): if name not in installed_tools: raise NotImplementedError return installed_tools[name] def skip_install_test(condition=None): '''Decorate the Tool class to skip the installation test.''' def decorator(klass): if callable(condition) and not condition(): return klass klass._skiptest = True return klass return decorator def is_osx(): return os.uname()[0] == 'Darwin' class Tool(object): ''' Base tool class that includes install machinery. ''' def __init__(self, install_methods=None): install_methods = install_methods or [] self.install_methods = install_methods self.installed_method = None self.exec_path = None self.tool_version = None def is_installed(self): return (self.installed_method is not None) def install(self): if not self.is_installed(): for m in self.install_methods: if not m.is_attempted(): m.attempt_install() if m.is_installed(): self.installed_method = m self.exec_path = m.executable_path() installed_tools[self.__class__.__name__] = self break def get_install_methods(self): return self.install_methods def set_install_methods(self, methods): self.install_methods = methods def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): raise NotImplementedError def executable_path(self): return self.exec_path def execute(self, *args): assert not os.system(self.exec_path + ' ' + args) def install_and_get_path(self): self.install() if self.executable_path() == None: raise NameError("unsuccessful in installing " + type(self).__name__) return self.executable_path() class InstallMethod(object): ''' Base class for installation methods for a given tool. None of these methods should ever fail/error. attempt_install should return silently regardless of the outcome (is_installed must be called to verify success or failure). ''' def __init__(self): self.attempts = 0 def is_attempted(self): return self.attempts def attempt_install(self): # Override _attempt_install, not this. self.attempts += 1 self._attempt_install() def _attempt_install(self): raise NotImplementedError def is_installed(self): raise NotImplementedError def executable_path(self): raise NotImplementedError class PrexistingUnixCommand(InstallMethod): ''' This is an install method that tries to find whether an executable binary already exists for free on the unix file system--it doesn't actually try to install anything. ''' def __init__(self, path, verifycmd=None, verifycode=0, require_executability=True): self.path = path self.verifycmd = verifycmd self.verifycode = verifycode self.installed = False self.require_executability = require_executability InstallMethod.__init__(self) def _attempt_install(self): if os.access(self.path, (os.X_OK | os.R_OK) if self.require_executability else os.R_OK): if self.verifycmd: self.installed = (os.system(self.verifycmd) == self.verifycode) else: self.installed = True else: self.installed = False def is_installed(self): if not self.is_attempted(): self.attempt_install() return self.installed def executable_path(self): return self.installed and self.path or None # Import submodules to make them accessible as viral_ngs.core.file, etc. # Note: version must be imported before cmd because cmd uses version at module level from . import version from . import misc from . import file from . import stats from . import cmd from . import illumina_indices from . import illumina_utils # Remaining core modules from . import errors from . import priorities # Tool wrappers from . import bbmap from . import bwa from . import cdhit from . import fastqc from . import minimap2 from . import mvicuna from . import novoalign from . import picard from . import prinseq from . import sambamba from . import samtools from . import splitcode from . import trimmomatic ================================================ FILE: src/viral_ngs/core/bbmap.py ================================================ ''' Tool wrapper for the BBMap aligner and related tools. ''' import logging import os import os.path import shutil import subprocess from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import samtools, picard # was: from viral_ngs import tools from . import Tool, PrexistingUnixCommand TOOL_NAME = 'bbmap.sh' _log = logging.getLogger(__name__) # pylint: disable=invalid-name class BBMapTool(Tool): '''Tool wrapper for the BBMap aligner and related tools.''' def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(BBMapTool, self).__init__(install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([os.path.join(os.path.dirname(self.install_and_get_path()), 'bbversion.sh')]).decode('UTF-8').strip() def execute(self, tool, **kwargs): # pylint: disable=arguments-differ tool_dir = os.path.dirname(self.install_and_get_path()) tool_cmd = [os.path.join(tool_dir, tool)] + \ ['{}={}'.format('in' if arg=='in_' else arg, (val is True and 't') or (val is False and 'f') or val) for arg, val in kwargs.items()] _log.debug('Running BBMap tool: %s', ' '.join(tool_cmd)) subprocess.check_call(tool_cmd) def align(self, inBam, refFasta, outBam, min_qual=0, nodisk=True, JVMmemory=None, **kwargs): with samtools.SamtoolsTool().bam2fq_tmp(inBam) as (in1, in2), \ util_file.tmp_dir('_bbmap_align') as t_dir: tmp_bam = os.path.join(t_dir, 'bbmap_out.bam') self.execute(tool='bbmap.sh', in1=in1, in2=in2, ref=refFasta, out=tmp_bam, nodisk=nodisk, **kwargs) # Samtools filter (optional) if min_qual: tmp_bam2 = os.path.join(tdir, 'bbmap.filtered.bam') cmd = [samtools.install_and_get_path(), 'view', '-b', '-S', '-1', '-q', str(min_qual), tmp_bam] _log.debug('%s > %s', ' '.join(cmd), tmp_bam2) with open(tmp_bam2, 'wb') as outf: util_misc.run_and_save(cmd, outf=outf) os.unlink(tmp_bam) tmp_bam = tmp_bam2 # Picard SortSam sorter = picard.SortSamTool() sorter.execute( tmp_bam, outBam, sort_order='coordinate', picardOptions=['CREATE_INDEX=true', 'VALIDATION_STRINGENCY=SILENT'], JVMmemory=JVMmemory ) def bbnorm(self, inFastq, outFastq, tmpdir=None, target=None, k=None, passes=None, mindepth=0, threads=None, memory=None): """ Run bbnorm for read normalization/deduplication. Args: inFastq: Input FASTQ file (interleaved for paired-end, or single-end) outFastq: Output FASTQ file (same format as input) tmpdir: Temporary directory for multipass processing target: Target normalization depth (default: bbnorm default of 100) k: Kmer length (default: bbnorm default of 31) passes: Number of passes (default: bbnorm default of 2) mindepth: Min kmer depth threshold (default: 0 to include all) threads: Number of threads (default: auto) memory: Java memory allocation string (e.g., "4g") Note: bbnorm auto-detects interleaved vs single-end format. """ tool_dir = os.path.dirname(self.install_and_get_path()) tool_cmd = [os.path.join(tool_dir, 'bbnorm.sh'), '-eoom'] if memory: tool_cmd.append('-Xmx{}'.format(memory)) # Build arguments tool_cmd.append('in={}'.format(inFastq)) tool_cmd.append('out={}'.format(outFastq)) tool_cmd.append('mindepth={}'.format(mindepth)) if tmpdir is not None: tool_cmd.append('tmpdir={}'.format(tmpdir)) if target is not None: tool_cmd.append('target={}'.format(target)) if k is not None: tool_cmd.append('k={}'.format(k)) if passes is not None: tool_cmd.append('passes={}'.format(passes)) if threads is not None: tool_cmd.append('threads={}'.format(threads)) _log.debug('Running bbnorm: %s', ' '.join(tool_cmd)) subprocess.check_call(tool_cmd) ================================================ FILE: src/viral_ngs/core/bwa.py ================================================ ''' The BWA aligner. ''' from collections import defaultdict import logging import os import os.path import subprocess import shutil import concurrent.futures from . import samtools from . import picard from . import file as util_file, misc as util_misc # was: from viral_ngs import util from .errors import * from . import Tool, PrexistingUnixCommand TOOL_NAME = 'bwa' log = logging.getLogger(__name__) class Bwa(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(Bwa, self).__init__(install_methods=install_methods) def execute(self, command, args, stdout=None, stdin=None, background=False): # pylint: disable=W0221 tool_cmd = [self.install_and_get_path(), command] + args log.debug(' '.join(tool_cmd)) if stdout: stdout = open(stdout, 'w') if background: subprocess.Popen(tool_cmd, stdout=stdout, stdin=stdin) else: subprocess.check_call(tool_cmd, stdout=stdout, stdin=stdin) if stdout: stdout.close() def index(self, inFasta, output=None, algorithm=None): cmd = [] if algorithm is not None: if algorithm not in ('is', 'bwtsw'): raise NameError(algorithm + " is not a recognized algorithm") cmd.extend(('-a', algorithm)) if output: cmd.extend(('-p', output)) cmd.append(inFasta) self.execute('index', cmd) return output def align_mem_bam(self, inBam, refDb, outBam, options=None, min_score_to_filter=None, threads=None, JVMmemory=None, invert_filter=False, should_index=True): options = options or [] samtools_tool = samtools.SamtoolsTool() threads = util_misc.sanitize_thread_count(threads) # fetch list of RGs rgs = list(samtools_tool.getReadGroups(inBam).keys()) if len(rgs) == 0: # Can't do this raise InvalidBamHeaderError("{} lacks read groups".format(inBam)) elif len(rgs) == 1: # Only one RG, keep it simple self.align_mem_one_rg(inBam, refDb, outBam, options=options, min_score_to_filter=min_score_to_filter, threads=threads, invert_filter=invert_filter) else: # Multiple RGs, align one at a time and merge align_bams = [] threads_for_chunk = int(round(min(max(threads / len(rgs),1),threads),0))+1 # worker count limited to 1 for now to reduce in-memory index size resulting from # running multiple copies of bwa in parallel workers = 1 #len(rgs) if len(rgs) 0: align_bams.append(aln_bam) else: log.warning("No alignment output for RG %s in file %s against %s", rg, inBam, refDb) if len(align_bams) == 0: util_file.touch(outBam) else: # Merge BAMs, sort, and index picardOptions = ['SORT_ORDER=coordinate', 'USE_THREADING=true'] if should_index: picardOptions.append('CREATE_INDEX=true') picard.MergeSamFilesTool().execute( align_bams, outBam, picardOptions=picardOptions, JVMmemory=JVMmemory ) # no longer required since MergeSamFiles creates the index #if outBam.endswith(".bam") or outBam.endswith(".cram"): # samtools.index(outBam) for bam in align_bams: os.unlink(bam) def align_mem_one_rg(self, inBam, refDb, outBam, rgid=None, options=None, min_score_to_filter=None, threads=None, JVMmemory=None, invert_filter=False, should_index=True): """ Performs an alignment of one read group in a bam file to a reference fasta file TODO: With the addition of a third aligner to viral-ngs, the functionality common to this method and to the comparable method in the Novoalign wrapper should be broken out as an "aligner" superclass, capable of aligning bam or fastq files with an arbitrary aligner, while preserving read groups. """ options = options or [] samtools_tool = samtools.SamtoolsTool() # Require exactly one RG rgs = samtools_tool.getReadGroups(inBam) if len(rgs) == 0: raise InvalidBamHeaderError("{} lacks read groups".format(inBam)) elif len(rgs) == 1: if not rgid: rgid = list(rgs.keys())[0] elif not rgid: raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs))) if rgid not in rgs: raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid)) headerFile = util_file.mkstempfname('.{}.header.txt'.format(rgid)) # Strip inBam to just one RG (if necessary) removeInput = False if len(rgs) == 1: one_rg_inBam = inBam samtools_tool.dumpHeader(one_rg_inBam, headerFile) else: # strip inBam to one read group with util_file.tempfname('.onebam.bam') as tmp_bam: samtools_tool.view(['-b', '-r', rgid], inBam, tmp_bam) # special exit if this file is empty if samtools_tool.count(tmp_bam) == 0: log.warning("No reads present for RG %s in file: %s", rgid, inBam) return # simplify BAM header otherwise Novoalign gets confused one_rg_inBam = util_file.mkstempfname('.{}.in.bam'.format(rgid)) removeInput = True with open(headerFile, 'wt') as outf: for row in samtools_tool.getHeader(inBam): if len(row) > 0 and row[0] == '@RG': if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]: # skip all read groups that are not rgid continue outf.write('\t'.join(row) + '\n') samtools_tool.reheader(tmp_bam, headerFile, one_rg_inBam) # perform actual alignment # get the read group line to give to BWA readgroup_line = "" with open(headerFile) as inf: for line in inf: if line.startswith("@RG"): readgroup_line = line assert len(readgroup_line) > 0 #with util_file.tempfname('.aligned.bam') as tmp_bam_aligned: # rather than reheader the alignment bam file later so it has the readgroup information # from the original bam file, we'll pass the RG line to bwa to write out self.mem(one_rg_inBam, refDb, outBam, options=options+['-R', readgroup_line.rstrip("\r\n").replace('\t','\\t')], min_score_to_filter=min_score_to_filter, threads=threads, invert_filter=invert_filter, should_index=should_index) return (rgid, outBam) # if there was more than one RG in the input, we had to create a temporary file with the one RG specified # and we can safely delete it this file # if there was only one RG in the input, we used it directly and should not delete it if removeInput: os.unlink(one_rg_inBam) def mem(self, inReads, refDb, outAlign, options=None, min_score_to_filter=None, threads=None, invert_filter=False, should_index=True): options = [] if not options else options threads = util_misc.sanitize_thread_count(threads) if '-t' not in options: options.extend(('-t', str(threads))) samtools_tool = samtools.SamtoolsTool() aln_sam = util_file.mkstempfname('.aligned.sam') fastq_pipe = samtools_tool.bam2fq_pipe(inReads) self.execute('mem', options + ['-p', refDb, '-'], stdout=aln_sam, stdin=fastq_pipe.stdout) if fastq_pipe.poll(): raise subprocess.CalledProcessError(fastq_pipe.returncode, "samtools.bam2fq_pipe() for {}".format(inReads)) if min_score_to_filter: # Filter reads in the alignment based on on their alignment score aln_sam_filtered = util_file.mkstempfname('.sam') self.filter_sam_on_alignment_score(aln_sam, aln_sam_filtered, min_score_to_filter, options, invert_filter=invert_filter) os.unlink(aln_sam) else: aln_sam_filtered = aln_sam samtools_tool.sort(aln_sam_filtered, outAlign, threads=threads) os.unlink(aln_sam_filtered) # cannot index sam files; only do so if a bam/cram is desired if should_index and (outAlign.endswith(".bam") or outAlign.endswith(".cram")): samtools_tool.index(outAlign) def filter_sam_on_alignment_score(self, in_sam, out_sam, min_score_to_filter, bwa_options, invert_filter=False): """Filter reads in an alignment based on their alignment score. This is useful because bwa mem ignores its -T option on paired-end data (https://github.com/lh3/bwa/issues/133); -T normally specifies the threshold on score below which alignments are not output. This sums the alignment score across all alignments for each query name in the aligned SAM. This has the effect of summing the score across both reads in a pair (their query name is the same) as well as supplementary alignments (SAM flag 2048) and secondary alignments (SAM flag 256). The use of a summed score is reasonable for supplementary alignments, which bwa mem outputs. bwa mem normally does not output secondary alignments, but if it does then the use of a summed score might not be reasonable. """ if '-a' in bwa_options: log.warning(("'bwa mem -a' will output secondary alignments, " "and the filter on alignment score will use " "a score that is summed across the primary and " "secondary alignments for each read; this might " "not be desired")) # Determine an alignment score for each query name qname_alignment_scores = defaultdict(int) with open(in_sam) as in_sam_f: for line in in_sam_f: line = line.rstrip() if line.startswith('@'): # Skip headers continue ls = line.split('\t') # bwa's output should have optional fields for all # alignments assert len(ls) >= 12 qname = ls[0] aln_score = None for opt_field in ls[11:]: opt_field_tag, opt_field_type, opt_field_val = opt_field.split(':') if opt_field_tag == 'AS': # The alignment score output by bwa should be a # signed integer assert opt_field_type == 'i' aln_score = int(opt_field_val) break if aln_score is None: raise Exception(("Unknown alignment score for query " "name %s") % qname) qname_alignment_scores[qname] += aln_score # Write a SAM file that only includes reads whose query has a # sufficient alignment score summed across its alignments with open(out_sam, 'w') as out_sam_f: with open(in_sam) as in_sam_f: for line in in_sam_f: line = line.rstrip() if line.startswith('@'): # Rewrite all headers out_sam_f.write(line + '\n') continue ls = line.split('\t') qname = ls[0] if ((qname_alignment_scores[qname] >= min_score_to_filter and not invert_filter) or (qname_alignment_scores[qname] < min_score_to_filter and invert_filter)): # Write this query name out_sam_f.write(line + '\n') ================================================ FILE: src/viral_ngs/core/cdhit.py ================================================ ''' CD-HIT ''' from builtins import super import itertools import logging import os import os.path import shlex import shutil import subprocess from . import samtools, picard # was: from viral_ngs import tools from . import file from . import Tool, PrexistingUnixCommand log = logging.getLogger(__name__) class CdHit(Tool): COMMANDS = [ 'cd-hit', 'cd-hit-est', 'cd-hit-2d', 'cd-hit-est-2d', 'cd-hit-dup', ] def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which('cd-hit'), require_executability=True)] super(CdHit, self).__init__(install_methods=install_methods) def execute(self, command, input_fn, output_fn, options=None, option_string=None, background=None): '''Perform a clustering on DNA/RNA sequences Args: input_fn: Input fasta filename output_fn: Output fasta filename ''' assert command in self.COMMANDS cmd = [command] cmd.extend(['-i', input_fn]) cmd.extend(['-o', output_fn]) options = options or {} if options: # We need some way to allow empty options args like --log, hence # we filter out on 'x is None'. cmd.extend([str(x) for x in itertools.chain(*options.items()) if x is not None]) if option_string: cmd.extend(shlex.split(option_string)) log.debug("Calling {}: {}".format(command, " ".join(cmd))) if background: return subprocess.Popen(cmd) else: return subprocess.check_call(cmd) ================================================ FILE: src/viral_ngs/core/cmd.py ================================================ '''This gives a main() function that serves as a nice wrapper around other commands and presents the ability to serve up multiple command-line functions from a single python script. ''' import os import os.path import tempfile import textwrap import sys import shutil import logging import argparse import importlib import inspect import collections # Note: avoid circular import by importing submodules directly, not the util package from . import version as util_version from . import misc as util_misc from . import file as util_file __author__ = "dpark@broadinstitute.org" __version__ = util_version.get_version() log = logging.getLogger() tmp_dir = None class color(object): """ *nix terminal control characters for altering text display """ PURPLE = '\033[95m' CYAN = '\033[96m' DARKCYAN = '\033[36m' BLUE = '\033[94m' GREEN = '\033[92m' YELLOW = '\033[93m' RED = '\033[91m' BOLD = '\033[1m' UNDERLINE = '\033[4m' END = '\033[0m' def setup_logger(log_level): loglevel = getattr(logging, log_level.upper(), None) assert loglevel, "unrecognized log level: %s" % log_level log.setLevel(loglevel) h = logging.StreamHandler() h.setFormatter(logging.Formatter("%(asctime)s - %(module)s:%(lineno)d:%(funcName)s - %(levelname)s - %(message)s")) log.addHandler(h) def script_name(): return os.path.basename(sys.argv[0]).rsplit('.', 1)[0] def common_args(parser, arglist=(('tmp_dir', None), ('loglevel', None))): for k, v in arglist: if k == 'loglevel': if not v: v = 'INFO' parser.add_argument("--loglevel", dest="loglevel", help="Verboseness of output. [default: %(default)s]", default=v, choices=('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL', 'EXCEPTION')) elif k == 'tmp_dir': if not v: v = find_tmp_dir() parser.add_argument("--tmp_dir", dest="tmp_dir", help="Base directory for temp files. [default: %(default)s]", default=v) parser.add_argument("--tmp_dirKeep", action="store_true", dest="tmp_dirKeep", help="""Keep the tmp_dir if an exception occurs while running. Default is to delete all temp files at the end, even if there's a failure.""", default=False) elif k == 'threads': # if v is None, sanitize_thread_count() sets count to all available cores thread_count = util_misc.sanitize_thread_count(v) parser.add_argument('--threads', dest="threads", type=int, help="Number of threads; by default all cores are used", default=thread_count) elif k == 'version': if not v: v = __version__ parser.add_argument('--version', '-V', action='version', version=v) else: raise Exception("unrecognized argument %s" % k) return parser def main_command(mainfunc): ''' This wraps a python method in another method that can be called with an argparse.Namespace object. When called, it will pass all the values of the object on as parameters to the function call. ''' def _main(args): args2 = dict((k, v) for k, v in vars(args).items() if k not in ( 'loglevel', 'tmp_dir', 'tmp_dirKeep', 'version', 'func_main', 'command')) mainfunc(**args2) _main.__doc__ = mainfunc.__doc__ return _main def attach_main(parser, cmd_main, split_args=False): ''' This attaches the main function call to a parser object. ''' if split_args: cmd_main = main_command(cmd_main) parser.description = cmd_main.__doc__ parser.set_defaults(func_main=cmd_main) return parser class _HelpAction(argparse._HelpAction): def __call__(self, parser, namespace, values, option_string=None): print("\nEnter a subcommand to view additional information:") # retrieve subparser actions from parser subparsers_actions = [ action for action in parser._actions if isinstance(action, argparse._SubParsersAction)] indent_space = " " * 5 for subparsers_action in subparsers_actions: # get all subparsers and print descriptions for each for choice, subparser in subparsers_action.choices.items(): print("\n{indent}{filename} {cmd} [...]".format(indent=indent_space, filename=os.path.basename(sys.argv[0]), cmd=color.BOLD+choice+color.END)) # if the subparser has a description string, format and print it if subparser.description: # clean up line breaks and spaces in the triple-quoted string help_description = subparser.description.replace("\n","").replace(". ",". ").replace(" ","").replace("\t","") help_description = help_description.strip() # wrap text to a set width help_description = textwrap.fill(help_description, 60) # indent each line help_description = help_description.replace("\n","\n{}".format(indent_space*2)) print("{}{}".format(indent_space*2, help_description)) print() parser.print_help() parser.exit() class storeMultiArgsOrFallBackToConst(argparse.Action): """ Custom argparse action to allow multiple values to be stored in a list for an optional argument, with a fallback const value in the event the arg flag is passed without one or more values. Equivalent to using: nargs='?',const=1 (but for multiple values) 1) If --arg is NOT passed: set to self.default (None) 2) If --arg IS passed: a) If values are supplied: set arg to list of values supplied b) If no values are supplied: set arg to self.const Usage: p.add_argument('--option', nargs='*', action=customAction, type=int, const=[1, 2, 3] ) """ def __call__(self, parser, namespace, values, option_string=None): if not option_string: setattr(namespace, self.dest, self.default) #default=None else: if not values: setattr(namespace, self.dest, self.const) else: setattr(namespace, self.dest, values) def make_parser(commands, description): ''' commands: a list of pairs containing the following: 1. name of command (string, no whitespace) 2. method to call (no arguments) that returns an argparse parser. If commands contains exactly one member and the name of the only command is None, then we get rid of the whole multi-command thing and just present the options for that one function. description: a long string to present as a description of your script as a whole if the script is run with no arguments ''' if len(commands) == 1 and commands[0][0] == None: # only one (nameless) command in this script, simplify parser = commands[0][1]() parser.set_defaults(command='') else: # multiple commands available parser = argparse.ArgumentParser(description=description, usage='%(prog)s subcommand', add_help=False) parser.add_argument('--help', '-h', action=_HelpAction, help=argparse.SUPPRESS) parser.add_argument('--version', '-V', action='version', version=__version__, help=argparse.SUPPRESS) subparsers = parser.add_subparsers(title='subcommands', dest='command', metavar='\033[F') # \033[F moves cursor up for cmd_name, cmd_parser in commands: help_str = cmd_parser.__doc__ if cmd_parser.__doc__ and len(cmd_parser.__doc__) else None # give a blank string for help if the parser docstring is null # so sphinx-argparse doesnt't render "Undocumented" if (not help_str) and os.environ.get('READTHEDOCS') or 'sphinx' in sys.modules: help_str = " " p = subparsers.add_parser(cmd_name, help=help_str, formatter_class=argparse.ArgumentDefaultsHelpFormatter) cmd_parser(p) return parser def main_argparse(commands, description): parser = make_parser(commands, description) # if called with no arguments, print help if len(sys.argv) == 1: parser.parse_args(['--help']) elif len(sys.argv) == 2 and (len(commands) > 1 or commands[0][0] != None): parser.parse_args([sys.argv[1], '--help']) args = parser.parse_args() setup_logger(not hasattr(args, 'loglevel') and 'DEBUG' or args.loglevel) log.info("software version: %s, python version: %s", __version__, sys.version) log.info("command: %s %s %s", sys.argv[0], sys.argv[1], ' '.join(["%s=%s" % (k, v) for k, v in vars(args).items() if k not in ('command', 'func_main')])) if hasattr(args, 'tmp_dir'): # If this command has a tmp_dir option, use that as a base directory # and create a subdirectory within it which we will then destroy at # the end of execution. proposed_dir = 'tmp-%s-%s' % (script_name(), args.command) for e in ('LSB_JOBID', 'JOB_ID'): # LSB_JOBID is for LSF, JOB_ID is for UGER/GridEngine if e in os.environ: proposed_dir = 'tmp-%s-%s-%s-%s' % (script_name(), args.command, os.environ[e], os.environ.get('LSB_JOBINDEX','0')) break tempfile.tempdir = tempfile.mkdtemp(prefix='%s-' % proposed_dir, dir=args.tmp_dir) log.debug("using tempDir: %s", tempfile.tempdir) os.environ['TMPDIR'] = tempfile.tempdir # this is for running R try: ret = args.func_main(args) finally: if (hasattr(args, 'tmp_dirKeep') and args.tmp_dirKeep) or util_file.keep_tmp(): log.debug("After running %s, saving tmp_dir at %s", args.command, tempfile.tempdir) else: shutil.rmtree(tempfile.tempdir) else: # otherwise just run the command ret = args.func_main(args) if ret is None: ret = 0 return ret def find_tmp_dir(): ''' This provides a suggested base directory for a temp dir for use in your argparse-based tmp_dir option. ''' tmpdir = '/tmp' if os.access('/local/scratch', os.X_OK | os.W_OK | os.R_OK) and os.path.isdir('/local/scratch'): tmpdir = '/local/scratch' # LSB_JOBID is for LSF, JOB_ID is for UGER/GridEngine for e in ('LSB_JOBID', 'JOB_ID'): if e in os.environ: # this directory often exists for LSF jobs, but not always. # for example, if the job is part of a job array, this directory is called # something unpredictable and unfindable, so just use /local/scratch proposed_dir = '/local/scratch/%s.tmpdir' % os.environ[e] if os.access(proposed_dir, os.X_OK | os.W_OK | os.R_OK): tmpdir = proposed_dir break if 'TMPDIR' in os.environ and os.path.isdir(os.environ['TMPDIR']): tmpdir = os.environ['TMPDIR'] return tmpdir class BadInputError(RuntimeError): '''Indicates that an invalid input was given to a command''' def __init__(self, reason): super(BadInputError, self).__init__(reason) def check_input(condition, error_msg): '''Check input to a command''' if not condition: raise BadInputError(error_msg) def parse_cmd(module, cmd, args): """Parse arguments `args` to command `cmd` from module `module`.""" if isinstance(module, str): module = importlib.import_module(module) assert inspect.ismodule(module) parser_fn = dict(getattr(module, '__commands__'))[cmd] return parser_fn(argparse.ArgumentParser()).parse_args(list(map(str, args))) CmdRunInfo = collections.namedtuple('CmdRunInfo', ['result', 'args_parsed']) def run_cmd(module, cmd, args): """Run command after parsing its arguments with the command's parser. Args: module: the module object for the script containing the command cmd: the command name args: list of args to the command Returns: a CmdRunInfo namedtuple with info about the run """ log.info('Calling command {} with args {}'.format(cmd, args)) args_parsed = parse_cmd(module, cmd, args) result = args_parsed.func_main(args_parsed) return CmdRunInfo(result=result, args_parsed=args_parsed) ================================================ FILE: src/viral_ngs/core/errors.py ================================================ #!/usr/bin/env python class QCError(RuntimeError): '''Indicates a failure at a QC step.''' def __init__(self, reason): super(QCError, self).__init__(reason) class InvalidBamHeaderError(ValueError): '''Indicates a malformed or otherwise unusable bam file header''' pass ================================================ FILE: src/viral_ngs/core/fastqc.py ================================================ ''' FastQC ''' import logging import os import os.path import shutil import subprocess import sys import zipfile from . import samtools, picard # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool, PrexistingUnixCommand TOOL_NAME = 'fastqc' log = logging.getLogger(__name__) class FastQC(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(FastQC, self).__init__(install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-v']).decode('UTF-8').strip().split()[1] def execute(self, inBam, out_html, out_zip=None, threads=None): # pylint: disable=W0221 threads = util_misc.sanitize_thread_count(threads) if samtools.SamtoolsTool().isEmpty(inBam): # fastqc can't deal with empty input with open(out_html, 'wt') as outf: outf.write("Input BAM has zero reads.\n") if out_zip: with zipfile.ZipFile(out_zip, 'w') as zf: pass else: # run fastqc with util_file.tmp_dir() as out_dir: # fastqc sets java "-Xmx" (max java heap size) to 250mb/thread tool_cmd = [self.install_and_get_path(), '-t', str(threads), '-o', out_dir, inBam] log.debug(' '.join(tool_cmd)) subprocess.check_call(tool_cmd, stdout=sys.stderr) expected_out = os.path.join(out_dir, os.path.basename(inBam)[:-4]) + "_fastqc.html" shutil.copyfile(expected_out, out_html) if out_zip: expected_out_zip = os.path.join(out_dir, os.path.basename(inBam)[:-4]) + "_fastqc.zip" shutil.copyfile(expected_out_zip, out_zip) log.debug("complete") ================================================ FILE: src/viral_ngs/core/file.py ================================================ '''This gives a number of useful quick methods for dealing with tab-text files and gzipped files, as well as fasta files, plus general file-handling routines. ''' __author__ = "dpark@broadinstitute.org" import codecs import concurrent.futures import contextlib import csv import errno import gzip import inspect import io import io import itertools import json import logging import os import re import shutil import sqlite3 import subprocess import sys import tarfile import tempfile import urllib.request from Bio import SeqIO from Bio.Seq import Seq from Bio.SeqIO import FastaIO from Bio.SeqRecord import SeqRecord import bz2 import lz4.frame import pysam import zstandard as zstd from . import misc as util_misc # was: from viral_ngs import util log = logging.getLogger(__name__) if sys.version_info >= (3, 10, 12): ''' Set the default extraction filter at class instance level for the tarfile module, to avoid needing to specify it every time we extract a tarball. The extraction filter avoids extracting "unsafe" items from tarballs, and is available in Python 3.10.12+. This sets the default to "tar_filter". For other filter types and general info on the tarfile module, see: https://docs.python.org/3.12/library/tarfile.html#tarfile.TarFile.extraction_filter https://docs.python.org/3.12/library/tarfile.html#tarfile.tar_filter https://docs.python.org/3.12/library/tarfile.html#extraction-filters ''' log.debug("Setting extraction filter for tarfile module to tar_filter") tarfile.TarFile.extraction_filter = staticmethod(tarfile.tar_filter) if hasattr(tarfile, 'data_filter') else (lambda member, path: member) class StringNotFoundException(Exception): """When a substring is not found.""" pass def get_project_path(): '''Return the absolute path of the top-level project, assumed to be the parent of the directory containing this script. When package is pip-installed (e.g., in Docker), the relative path from __file__ won't work. In that case, check for VIRAL_NGS_SOURCE_DIR env var or fall back to cwd if it contains a tests/ directory. ''' # Check for explicit environment variable first (useful for Docker/CI) if 'VIRAL_NGS_SOURCE_DIR' in os.environ: return os.environ['VIRAL_NGS_SOURCE_DIR'] # Try relative path from this file (works in source checkout) path = __file__ # path to this script path = os.path.expanduser(path) # interpret ~ path = os.path.abspath(path) # convert to absolute path path = os.path.dirname(path) # containing directory: util path = os.path.dirname(path) # containing directory: viral_ngs path = os.path.dirname(path) # containing directory: src path = os.path.dirname(path) # containing directory: project root # If tests directory exists at calculated path, use it if os.path.isdir(os.path.join(path, 'tests')): return path # Fall back to current working directory if it has tests/ cwd = os.getcwd() if os.path.isdir(os.path.join(cwd, 'tests')): return cwd # Last resort: return calculated path even if tests/ doesn't exist return path def get_build_path(): raise Exception('deprecated') return os.path.join(get_project_path(), 'tools', 'build') def get_test_path(): '''Return absolute path of "tests" directory''' return os.path.join(get_project_path(), 'tests') def get_test_input_path(testClassInstance=None): '''Return the path to the directory containing input files for the specified test class ''' if testClassInstance is not None: return os.path.join(get_test_path(), 'input', type(testClassInstance).__name__) else: return os.path.join(get_test_path(), 'input') def check_paths(read=(), write=(), read_and_write=()): '''Check that we can read and write the specified files, throw an exception if not. Useful for checking error conditions early in the execution of a command. Each arg can be a filename or iterable of filenames. ''' read, write, read_and_write = map(util_misc.make_seq, (read, write, read_and_write)) assert not (set(read) & set(write)) assert not (set(read) & set(read_and_write)) assert not (set(write) & set(read_and_write)) for fname in read+read_and_write: with open(fname): pass for fname in write+read_and_write: if not os.path.exists(fname): with open(fname, 'w'): pass os.unlink(fname) else: if not (os.path.isfile(fname) and os.access(fname, os.W_OK)): raise PermissionError('Cannot write ' + fname) def mkstempfname(suffix='', prefix='tmp', directory=None, text=False): ''' There's no other one-liner way to securely ask for a temp file by filename only. This calls mkstemp, which does what we want, except that it returns an open file handle, which causes huge problems on NFS if we don't close it. So close it first then return the name part only. ''' fd, fn = tempfile.mkstemp(prefix=prefix, suffix=suffix, dir=directory, text=text) os.close(fd) return fn @contextlib.contextmanager def tempfname(*args, **kwargs): '''Create a tempfile name on context entry, delete the file (if it exists) on context exit. The file is kept for debugging purposes if the environment variable VIRAL_NGS_TMP_DIRKEEP is set. ''' fn = mkstempfname(*args, **kwargs) try: yield fn finally: if os.path.isfile(fn) and not keep_tmp(): os.unlink(fn) @contextlib.contextmanager def tempfnames(suffixes, *args, **kwargs): '''Create a set of tempfile names on context entry, delete the files (if they exist) on context exit. The files are kept for debugging purposes if the environment variable VIRAL_NGS_TMP_DIRKEEP is set. ''' fns = [mkstempfname(sfx, *args, **kwargs) for sfx in suffixes] try: yield fns finally: if not keep_tmp(): for fn in fns: if os.path.isfile(fn): os.unlink(fn) @contextlib.contextmanager def tmp_dir(*args, **kwargs): """Create and return a temporary directory, which is cleaned up on context exit unless keep_tmp() is True.""" _args = inspect.getcallargs(tempfile.mkdtemp, *args, **kwargs) length_margin = 6 for pfx_sfx in ('prefix', 'suffix'): if _args[pfx_sfx]: _args[pfx_sfx] = string_to_file_name(_args[pfx_sfx], file_system_path=_args['dir'], length_margin=length_margin) length_margin += len(_args[pfx_sfx].encode('utf-8')) name = None try: name = tempfile.mkdtemp(**_args) yield name finally: if name is not None: if keep_tmp(): log.debug('keeping tempdir ' + name) else: shutil.rmtree(name, ignore_errors=True) @contextlib.contextmanager def pushd_popd(target_dir): '''Temporary change to the specified directory, restoring current directory on context exit.''' save_cwd = os.getcwd() try: os.chdir(target_dir) yield target_dir finally: os.chdir(save_cwd) def keep_tmp(): """Whether to preserve temporary directories and files (useful during debugging). Return True if the environment variable VIRAL_NGS_TMP_DIRKEEP is set. """ return 'VIRAL_NGS_TMP_DIRKEEP' in os.environ def set_tmp_dir(name): from . import cmd as util_cmd # lazy import to avoid circular dependency proposed_prefix = ['tmp'] if name: proposed_prefix.append(name) for e in ('LSB_JOBID', 'LSB_JOBINDEX', 'JOB_ID'): if e in os.environ: proposed_prefix.append(os.environ[e]) break tempfile.tempdir = tempfile.mkdtemp(prefix='-'.join(proposed_prefix) + '-', dir=util_cmd.find_tmp_dir()) os.environ['TMPDIR'] = tempfile.tempdir return tempfile.tempdir def destroy_tmp_dir(tempdir=None): if not keep_tmp(): if tempdir: shutil.rmtree(tempdir) elif tempfile.tempdir: shutil.rmtree(tempfile.tempdir) tempfile.tempdir = None def extract_tarball(tarfile, out_dir=None, threads=None, compression='auto', pipe_hint=None): if not (tarfile == '-' or (os.path.exists(tarfile) and not os.path.isdir(tarfile))): raise Exception('file does not exist: %s' % tarfile) if out_dir is None: out_dir = tempfile.mkdtemp(prefix='extract_tarball-') else: mkdir_p(out_dir) assert compression in ('gz', 'bz2', 'lz4', 'zip', 'zst', 'none', 'auto') if compression == 'auto': assert tarfile != '-' or pipe_hint, "cannot autodetect on stdin input unless pipe_hint provided" # auto-detect compression type based on file name if tarfile=='-': lower_fname = pipe_hint else: lower_fname = os.path.basename(tarfile).lower() if lower_fname.endswith('.tar'): compression = 'none' elif lower_fname.endswith('.zip'): compression = 'zip' elif lower_fname.endswith('.tgz') or lower_fname.endswith('.tar.gz'): compression = 'gz' elif lower_fname.endswith('.tar.lz4'): compression = 'lz4' elif lower_fname.endswith('.tar.bz2'): compression = 'bz2' elif lower_fname.endswith('.tar.zst'): compression = 'zst' else: raise Exception("unsupported file type: %s" % tarfile) if compression == 'zip': assert tarfile != '-' cmd = ['unzip', '-q', tarfile, '-d', out_dir] with open(os.devnull, 'w') as fnull: subprocess.check_call(cmd, stderr=fnull) else: if compression == 'gz': decompressor = ['pigz', '-dc', '-p', str(util_misc.sanitize_thread_count(threads))] elif compression == 'bz2': decompressor = ['lbzip2', '-dc', '-n', str(util_misc.sanitize_thread_count(threads))] elif compression == 'lz4': decompressor = ['lz4', '-d'] elif compression == 'zst': decompressor = ['zstd', '-dc'] elif compression == 'none': decompressor = ['cat'] untar_cmd = ['tar'] # always tolerate concatenated tarballs # (remove "True" to only allow for non-piped input) if True or tarfile != '-': # --ignore-zeros to allow tarballs that have been made of other tarballs merged via simply # calling 'cat' on them all untar_cmd.extend(['--ignore-zeros']) untar_cmd.extend(['-C', out_dir, '-x']) if os.getuid() == 0: # GNU tar behaves differently when run as root vs normal user # we want normal user behavior always if 'GNU' in subprocess.check_output(['tar', '--version']).decode('UTF-8'): untar_cmd.append('--no-same-owner') log.debug("cat {} | {} | {}".format(tarfile, ' '.join(decompressor), ' '.join(untar_cmd))) with open(os.devnull, 'w') as fnull: if tarfile == '-': inf = None else: inf = open(tarfile, 'rb') decompress_proc = subprocess.Popen(decompressor, stdin=inf, stdout=subprocess.PIPE) untar_proc = subprocess.Popen(untar_cmd, stdin=decompress_proc.stdout) #, stderr=fnull) if untar_proc.wait(): raise subprocess.CalledProcessError(untar_proc.returncode, untar_cmd) if decompress_proc.wait(): raise subprocess.CalledProcessError(decompress_proc.returncode, decompressor) if inf is not None: inf.close() log.debug("completed unpacking of {} into {}".format(tarfile, out_dir)) return out_dir @contextlib.contextmanager def fifo(num_pipes=1, names=None, name=None): pipe_dir = tempfile.mkdtemp() pipe_paths = [] if name is not None: names = [name] if names: num_pipes = len(names) for i in range(num_pipes): if names is not None: fn = names[i] else: fn = '{}.pipe'.format(i) pipe_path = os.path.join(pipe_dir, fn) os.mkfifo(pipe_path) pipe_paths.append(pipe_path) if num_pipes == 1: yield pipe_paths[0] else: yield pipe_paths shutil.rmtree(pipe_dir) def mkdir_p(dirpath): ''' Verify that the directory given exists, and if not, create it. ''' try: os.makedirs(dirpath) except OSError as exc: # Python >2.5 if exc.errno == errno.EEXIST and os.path.isdir(dirpath): pass else: raise def touch_p(path, times=None): '''Touch file, making parent directories if they don't exist.''' mkdir_p(os.path.dirname(path)) touch(path, times=times) @contextlib.contextmanager def zstd_open(fname, mode='r', **kwargs): '''Handle both text and byte decompression of the file.''' if 'r' in mode: with open(fname, 'rb') as fh: dctx = zstd.ZstdDecompressor() stream_reader = dctx.stream_reader(fh) if 'b' not in mode: text_stream = io.TextIOWrapper(stream_reader, encoding='utf-8-sig') yield text_stream return yield stream_reader else: with open(fname, 'wb') as fh: cctx = zstd.ZstdCompressor(level=kwargs.get('level', 10), threads=util_misc.sanitize_thread_count(kwargs.get('threads', None))) stream_writer = cctx.stream_writer(fh) if 'b' not in mode: text_stream = io.TextIOWrapper(stream_reader, encoding='utf-8') yield text_stream return yield stream_writer def open_or_gzopen(fname, mode='r', **kwargs): assert type(mode) == str, "open mode must be of type str" # 'U' mode is deprecated in py3 and may be unsupported in future versions, # so use newline=None when 'U' is specified if 'U' in mode: if 'newline' not in kwargs: kwargs['newline'] = None mode = mode.replace("U","t") if fname.endswith('.gz'): # Allow using 'level' kwarg as an alias for gzip files. if 'level' in kwargs: kwargs['compresslevel'] = kwargs.pop('level') return gzip.open(fname, mode=mode, **kwargs) elif fname.endswith('.bz2'): return bz2.open(fname, mode=mode, **kwargs) elif fname.endswith('.zst'): return zstd_open(fname, mode=mode, **kwargs) elif fname.endswith('.lz4'): return lz4.frame.open(fname, mode=mode, **kwargs) else: return open(fname, mode=mode, **kwargs) def read_tabfile_dict(inFile, header_prefix="#", skip_prefix=None, rowcount_limit=None): ''' Read a tab text file (possibly gzipped) and return contents as an iterator of dicts. ''' with open_or_gzopen(inFile, 'rt', encoding='utf-8-sig', newline=None) as inf: header = None lines_read=0 for line_no,line in enumerate(inf): lines_read+=1 row = [item.strip() for item in line.rstrip('\r\n').split('\t')] # skip empty lines/rows if len("".join(row)) == 0 or (skip_prefix and line.startswith(skip_prefix)): continue if line.startswith(header_prefix): row[0] = row[0][1:] header = [item for item in row if len(item)] elif header is None: header = [item for item in row if len(item)] else: # if a row is longer than the header if len(row) > len(header): # truncate the row to the header length, and only include extra items if they are not spaces # (takes care of the case where the user may enter an extra space at the end of a row) row = row[:len(header)] + [item for item in row[len(header):] if len(item)] assert len(header) == len(row), "%s != %s" % (len(header), len(row)) yield dict((k, v) for k, v in zip(header, row) if v) if rowcount_limit and lines_read==rowcount_limit: break def read_tabfile(inFile): ''' Read a tab text file (possibly gzipped) and return contents as an iterator of arrays. ''' with open_or_gzopen(inFile, 'rt', encoding='utf-8-sig', newline=None) as inf: for line_no,line in enumerate(inf): if not line.startswith('#'): yield list(item.strip() for item in line.rstrip('\r\n').split('\t')) def readFlatFileHeader(filename, headerPrefix='#', delim='\t'): with open_or_gzopen(filename, 'rt', encoding='utf-8-sig', newline=None) as inf: header = inf.readline().rstrip('\n').split(delim) if header and header[0].startswith(headerPrefix): header[0] = header[0][len(headerPrefix):] return header class FlatFileParser(object): ''' Generic flat file parser that parses tabular text input ''' def __init__(self, lineIter=None, name=None, outType='dict', readHeader=True, headerPrefix='#', delim='\t', requireUniqueHeader=False): self.lineIter = lineIter self.header = None self.name = name self.headerPrefix = headerPrefix self.readHeader = readHeader self.delim = delim self.requireUniqueHeader = requireUniqueHeader self.line_num = 0 assert outType in ('dict', 'arrayStrict', 'arrayLoose', 'both') self.outType = outType assert readHeader or outType in ('arrayStrict', 'arrayLoose') def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): return 0 def __iter__(self): assert self.lineIter for row in self.lineIter: out = self.parse(row) if out is not None: yield out def parse(self, row): self.line_num += 1 try: line = row.rstrip('\n').split(self.delim) if self.readHeader: if self.headerPrefix and row.startswith(self.headerPrefix): line[0] = line[0][len(self.headerPrefix):] assert not (self.requireUniqueHeader and self.header) self.parseHeader(line) return None elif not self.header: self.parseHeader(line) return None else: return self.parseRow(line) else: return self.parseRow(line) except Exception: template = "Exception parsing file at line {}. Line contents: '{}'" message = template.format(self.line_num, row) if self.name: log.exception("%s File: %s", message, self.name) else: log.exception(message) raise def parseHeader(self, row): assert row self.header = row if self.outType != 'arrayLoose': assert len(row) == len(dict([(x, 0) for x in row])) def parseRow(self, row): assert self.outType == 'arrayLoose' or (self.header and len(self.header) == len(row)) if self.outType == 'arrayLoose' or self.outType == 'arrayStrict': return row out = {self.header[i]: row[i] for i in range(len(self.header))} if self.outType == 'both': for i in range(len(self.header)): out[i] = row[i] return out def fastaMaker(seqs, linewidth=60): assert linewidth > 0 for idVal, seq in seqs: yield ">{}\n".format(idVal) while len(seq) > linewidth: line = seq[:linewidth] seq = seq[linewidth:] yield "{}\n".format(line) if seq: yield seq + "\n" def makeFastaFile(seqs, outFasta): with open(outFasta, 'wt') as outf: for line in fastaMaker(seqs): outf.write(line) return outFasta def bam_is_sorted(bam_file_path): # Should perhaps be in samtools.py once it moves to pysam samfile = pysam.AlignmentFile(bam_file_path, "rb", check_sq=False) if "HD" in samfile.header and "SO" in samfile.header["HD"]: return samfile.header["HD"]["SO"] in ("coordinate") # also: "queryname" else: raise KeyError("Could not locate the SO field in the SAM/BAM file header.") def concat(inputFilePaths, outputFilePath, append=False): ''' This function creates an output file containing the lines present in the input file(s), in the order specified by the inputFilePaths list. If `append` is True, appends to the output file instead of overwriting it. ''' with open(outputFilePath, 'a' if append else 'w') as outfile: for filePath in util_misc.make_seq(inputFilePaths): with open(filePath) as infile: for line in infile: outfile.write(line) def download_file(uriToGet, dest, destFileName=None): destDir = os.path.realpath(os.path.expanduser(dest)) req = urllib.request.urlopen(uriToGet) if not destFileName: m = re.search('filename="(?P.+)"', req.info()['Content-Disposition']) if m: destFileName = m.group("filename") else: destFileName = "file" destPath = os.path.join(destDir, destFileName) with open(destPath, "wb") as outf: while True: chunk = req.read(1024) if not chunk: break outf.write(chunk) return destPath def webfile_readlines(uriToGet): for line in urllib.request.urlopen(uriToGet): # .readlines(): cleanedLine = line.decode("utf-8").strip() if len(cleanedLine) > 0: yield cleanedLine def replace_in_file(filename, original, new): '''Replace the original string with new in file. Raises error if the original is not in the file. ''' with open(filename) as f: s = f.read() if original not in s: raise StringNotFoundException("String '%s' not found." % s) s = s.replace(original, new) with open(filename, 'w') as f: f.write(s) def cat(output_file, input_files): '''Cat list of input filenames to output filename.''' with open_or_gzopen(output_file, 'wb') as wfd: for f in input_files: with open_or_gzopen(f, 'rb') as fd: shutil.copyfileobj(fd, wfd, 1024*1024*10) @contextlib.contextmanager def temp_catted_files(input_files, suffix=None, prefix=None): '''Create a temporary file holding catted contents of input_files.''' fn = mkstempfname(suffix=suffix, prefix=prefix) try: cat(fn, input_files) yield fn finally: os.remove(fn) def _get_pathconf(file_system_path, param_suffix, default): """Return a pathconf parameter value for a filesystem. """ param_str = [s for s in os.pathconf_names if s.endswith(param_suffix)] if len(param_str) == 1: try: return os.pathconf(file_system_path, param_str[0]) except OSError: pass return default def max_file_name_length(file_system_path): """Return the maximum valid length of a filename (path component) on the given filesystem.""" return _get_pathconf(file_system_path, '_NAME_MAX', 80)-1 def max_path_length(file_system_path): """Return the maximum valid length of a path on the given filesystem.""" return _get_pathconf(file_system_path, '_PATH_MAX', 255)-1 def sanitize_id_for_sam_rname(string_in): #[0-9A-Za-z!#$%&+./:;?@^_|~-] # See character set restrictions in SAM/BAM RNAME spec: # https://samtools.github.io/hts-specs/SAMv1.pdf # [0-9A-Za-z!#$%&+./:;?@^_|~-][0-9A-Za-z!#$%&*+./:;=?@^_|~-]* # Here we are being conservative and replacing anything disallowed: # [^0-9A-Za-z!#$%&+./:;?@^_|~-] disallowed_char_re = re.compile(r'[^0-9A-Za-z!#$%&+./:;?@^_|~-]') string_value = disallowed_char_re.sub("_", string_in) # condense runs of underscores double_underscore_re = re.compile(r'_{2,}') string_value = double_underscore_re.sub("_", string_value) # ensure all the character removals did not make the name empty string_value = string_value or '_' print("sanitizing: %s ====> %s " % (string_in, string_value)) return string_value def write_fasta_with_sanitized_ids(fasta_in, out_filepath): with open(out_filepath, "wt") as outf: with open(fasta_in, "rt") as inf: for line in inf: line = line.strip() if line.startswith(">"): line = ">"+sanitize_id_for_sam_rname(line[1:]) outf.write(line + '\n') print("out_filepath",out_filepath) print("os.path.dirname(out_filepath)",os.path.dirname(out_filepath)) return out_filepath @contextlib.contextmanager def fastas_with_sanitized_ids(input_fasta_paths, use_tmp=False): """ Returns a list of file paths for fasta files with sanitized IDs ( Suitable for Picard; see: https://github.com/samtools/hts-specs/pull/333 ) input_fasta_paths is a list of file paths to fasta files if use_tmp==False, companion fasta files will be created with ".sanitized_ids.fasta" appended in the same location as the input if use_tmp==True, temp files will be written instead """ sanitized_fasta_paths=[] if use_tmp: with tempfnames(["_{inf_name}".format(inf_name=os.path.basename(inf_path)) for inf_path in [input_fasta_paths]]) as temp_fasta_paths: for fasta_in, out_filepath in zip([input_fasta_paths], temp_fasta_paths): sanitized_fasta_paths.append(write_fasta_with_sanitized_ids(fasta_in, out_filepath)) yield sanitized_fasta_paths else: for fasta_in in [input_fasta_paths]: in_fasta_basename = os.path.splitext(os.path.basename(fasta_in))[0] out_basedir = os.path.realpath(os.path.dirname(fasta_in)) new_basename = in_fasta_basename if new_basename.lower().endswith('.fa'): new_basename = new_basename[:-3] + '.sanitized_ids.fa' elif new_basename.lower().endswith('.fasta'): new_basename = new_basename[:-6] + '.sanitized_ids.fasta' else: new_basename = new_basename + '.sanitized_ids.fasta' out_filepath = os.path.join(out_basedir,new_basename) sanitized_fasta_paths.append(write_fasta_with_sanitized_ids(fasta_in, out_filepath)) yield sanitized_fasta_paths class TranspositionError(Exception): def __init___(self, *args, **kwargs): super(TranspositionError, self).__init__(self, *args, **kwargs) def transposeChromosomeFiles(inputFilenamesList, sampleRelationFile=None, sampleNameListFile=None): ''' Input: a list of FASTA files representing a genome for each sample. Each file contains the same number of sequences (chromosomes, segments, etc) in the same order. If the parameter sampleRelationFile is specified (as a file path), a JSON file will be written mapping sample name to sequence position in the output. Output: a list of FASTA files representing all samples for each chromosome/segment for input to a multiple sequence aligner. The number of FASTA files corresponds to the number of chromosomes in the genome. Each file contains the same number of samples in the same order. Each output file is a tempfile. ''' outputFilenames = [] # open all files inputFilesList = [open_or_gzopen(x, 'r') for x in inputFilenamesList] # get BioPython iterators for each of the FASTA files specified in the input fastaFiles = [SeqIO.parse(x, 'fasta') for x in inputFilesList] # write out json file containing relation of # sample name to position in output if sampleRelationFile: with open(os.path.realpath(sampleRelationFile), "w") as outFile: # dict mapping sample->index, zero indexed sampleIdxMap = dict((os.path.basename(v).replace(".fasta", ""), k) for k, v in enumerate(inputFilenamesList)) json.dump(sampleIdxMap, outFile, sort_keys=True, indent=4, separators=(',', ': ')) if sampleNameListFile: with open(os.path.realpath(sampleNameListFile), "w") as outFile: sampleNameList = [os.path.basename(v).replace(".fasta", "\n") for v in inputFilenamesList] outFile.writelines(sampleNameList) # for each interleaved record for chrRecordList in itertools.zip_longest(*fastaFiles): if any(rec is None for rec in chrRecordList): raise TranspositionError("input fasta files must all have the same number of sequences") outputFilename = mkstempfname('.fasta') outputFilenames.append(outputFilename) with open(outputFilename, "w") as outf: # write the corresonding records to a new FASTA file SeqIO.write(chrRecordList, outf, 'fasta') # close all input files for x in inputFilesList: x.close() return outputFilenames def string_to_file_name(string_value, file_system_path=None, length_margin=0): """Constructs a valid file name from a given string, replacing or deleting invalid characters. If `file_system_path` is given, makes sure the file name is valid on that file system. If `length_margin` is given, ensure a string that long can be added to filename without breaking length limits. """ replacements_dict = { "\\": "-", # win directory separator "/": "-", # posix directory separator os.sep: "-", # directory separator "^": "_", # caret "&": "_and_", # background "\"": "", # double quotes r"'": "", # single quotes r":": "_", # colon (problem for ntfs) r" ": "_", # spaces r"|": "-", # shouldn't confuse a vertical bar for a shell pipe r"!": ".", # not a bash operator r";": ".", # not a terminator r"?": "_", # could be mistaken for a wildcard r"*": "_", # could be mistaken for a wildcard r"`": "_", # no subshells r" -": "_-", # could be mistaken for an argument r" --": "_--", # could be mistaken for an argument r">": "_", # no redirect chars r"<": "_", # no redirect chars r"(": "__", # special character r")": "__", # special character r"\\x": "_", # hex char r"\\o": "_", # octal char #r"\\u": "", # unicode char #"": "", # other illegal strings to replace } # group of ascii control and non-printable characters control_chars = ''.join( map(chr, list(range(0,32)) + list(range(127,160)) ) ) control_char_re = re.compile('[%s]' % re.escape(control_chars)) string_value = control_char_re.sub("_", string_value) # replacements from the dictionary above strs_to_replace_re = re.compile(r'|'.join(re.escape(key) for key in replacements_dict.keys())) string_value = strs_to_replace_re.sub(lambda x: replacements_dict.get(x.group(), "_"), string_value) # condense runs of underscores double_underscore_re = re.compile(r'_{2,}') string_value = double_underscore_re.sub("_", string_value) # condense runs of dashes double_dash_re = re.compile(r'-{2,}') string_value = double_dash_re.sub("-", string_value) # remove leading or trailing periods (no hidden files (*NIX) or missing file extensions (NTFS)) string_value = string_value.strip(".") # comply with file name length limits if file_system_path is not None: max_len = max(1, max_file_name_length(file_system_path) - length_margin) string_value = string_value[:max_len] while len(string_value.encode('utf-8')) > max_len: string_value = string_value[:-1] # ensure all the character removals did not make the name empty string_value = string_value or '_' return string_value def grep_count(file_path, to_match, additional_flags=None, fixed_mode=True, starts_with=False): ''' This uses grep for fast counting of strings in a file ''' if not os.path.isfile(file_path) or os.path.getsize(file_path)==0: return 0 env = os.environ.copy() env['LC_ALL'] = 'C' #use C locale rather than UTF8 for faster grep cmd = ["grep"] # '-c' returns the match count cmd.append("-c") if additional_flags: cmd.extend(additional_flags) # fixed mode cannot be used with starts_with, since it does not match regular expressions # only add the fixed_mode flag if we're not using starts_with if not starts_with: if fixed_mode: cmd.append("-F") cmd.append(to_match) else: cmd.append("^"+to_match) cmd.append(file_path) number_of_seqs = subprocess.check_output(cmd, env=env) return int(number_of_seqs.decode("utf-8").rstrip(os.linesep)) # used by count_and_sort_barcodes def count_occurrences_in_tsv(filePath, col=0, noise_chr='.', delimiter='\t', include_noise=False): file_occurrence_counts = {} with open(filePath) as infile: for row in csv.reader(infile, delimiter=delimiter): if noise_chr not in row[col] or include_noise: file_occurrence_counts[row[col]] = file_occurrence_counts.get(row[col], 0) + 1 return file_occurrence_counts # used by count_and_sort_barcodes def count_occurrences_in_tsv_sqlite_backed(db_file_path, file_path, col=0, noise_chr='.', delimiter='\t', include_noise=False): db = CountDB(db_file_path) db.start() with open(file_path) as infile: for chunk in util_misc.batch_iterator(csv.reader(infile, delimiter=delimiter), 40000): db.increment_count_for_multiple_IDs([row[0] for row in chunk if noise_chr not in row[col] or include_noise ]) log.info("unique barcodes seen and counted in SQLite: %s for file %s", db.get_num_IDS(), file_path) db.close() return (db_file_path,file_path) #file_occurrence_counts def count_str_in_file(in_file, query_str, starts_with=False): if not os.path.isfile(in_file) or os.path.getsize(in_file)==0: return 0 if in_file.endswith('.gz'): n = 0 with gzip.open(in_file, 'rt') as inf: if starts_with: n = sum(1 for line in inf if line.startswith(query_str)) else: n = sum(1 for line in inf if query_str in line) return n # use grep count for non-gzip files since it seems to be faster than native on Pythons <3.5 else: return grep_count(in_file, query_str, starts_with=starts_with) def fasta_length(fasta_path): ''' Count number of records in fasta file ''' return count_str_in_file(fasta_path, '>', starts_with=True) def count_fastq_reads(inFastq): ''' Count number of reads in fastq file ''' n = line_count(inFastq) if n % 4 != 0: raise Exception("cannot count reads in a fastq with wrapped lines") return n // 4 # unfortunately, both @ and + are potential quality characters and cannot be used in a # fastq counting approach.... #return count_str_in_file(inFastq, '@', starts_with=True) def line_count(infname): n = 0 with open_or_gzopen(infname, 'rt') as inf: for line in inf: n += 1 return n def touch(fname, times=None): with open(fname, 'a'): os.utime(fname, times) def make_empty(fname): '''Make `fname` a zero-length file with the current timestamp.''' with open(fname, 'w'): pass def dump_file(fname, value): """store string in file""" with open(fname, 'w') as out: out.write(str(value)) def slurp_file(fname, maxSizeMb=50): """Read entire file into one string. If file is gzipped, uncompress it on-the-fly. If file is larger than `maxSizeMb` megabytes, throw an error; this is to encourage proper use of iterators for reading large files. If `maxSizeMb` is None or 0, file size is unlimited.""" fileSize = os.path.getsize(fname) if maxSizeMb and fileSize > maxSizeMb*1024*1024: raise RuntimeError('Tried to slurp large file {} (size={}); are you sure? Increase `maxSizeMb` param if yes'. format(fname, fileSize)) with open_or_gzopen(fname) as f: return f.read() def is_broken_link(filename): # isfile() returns True if a file, or a working link if os.path.isfile(filename) or os.path.isdir(filename): return False # otherwise if this is a link if os.path.islink(filename): # os.path.exists() returns false in the case of broken symlinks return not os.path.exists(filename) return False def find_broken_symlinks(rootdir, followlinks=False): """ This function removes broken symlinks within a directory, doing the same in each child directory as well (though not following functional symlinks, unless they're directories and followlinks=True). @param followlinks: only applies to directory links as per os.walk """ broken_links_to_remove = [] # first check to see if the input is itself a broken link if is_broken_link(rootdir): broken_links_to_remove.append(rootdir.rstrip("/")) else: # otherwise traverse the directory hierarchy for rootpath, subfolders, files in os.walk(rootdir, followlinks=followlinks): for filename in files: fpath = os.path.join(rootpath, filename) if is_broken_link(fpath): broken_links_to_remove.append(fpath.rstrip("/")) return broken_links_to_remove def uncompressed_file_type(fname): """Return the original file extension of either a compressed or an uncompressed file.""" base, ext = os.path.splitext(fname) if ext in ('.gz', '.bz2', '.lz4', '.zst'): base, ext = os.path.splitext(base) return ext def repack_tarballs(out_compressed_tarball, input_compressed_tarballs, extract_to_disk_path=None, extract_numeric_owner=False, avoid_disk_roundtrip=True, ignore_zeros=True, pipe_hint_in=None, pipe_hint_out=None, threads=None): threads = util_misc.sanitize_thread_count(threads) def choose_compressor(filepath, threads=8): return_obj = {} filepath = filepath.lower() if re.search(r'(\.?tgz|\.?gz)$', filepath): compressor = 'pigz {threads}'.format(threads="-p "+str(threads) if threads else "").split() return_obj["decompress_cmd"] = compressor + ["-dc"] return_obj["compress_cmd"] = compressor + ["-c"] elif re.search(r'\.?bz2$', filepath): compressor = 'lbzip2 {threads}'.format(threads="-n "+str(threads) if threads else "").split() return_obj["decompress_cmd"] = compressor + ["-dc"] return_obj["compress_cmd"] = compressor + ["-c"] elif re.search(r'\.?lz4$', filepath): compressor = ['lz4'] return_obj["decompress_cmd"] = compressor + ["-dc"] return_obj["compress_cmd"] = compressor + ["-c"] elif re.search(r'\.?zst$', filepath): compressor = ['zstd'] return_obj["decompress_cmd"] = compressor + ["-qdc"] return_obj["compress_cmd"] = compressor + ["-c19", "-T"+str(threads)] elif re.search(r'\.?tar$', filepath): compressor = ['cat'] return_obj["decompress_cmd"] = compressor return_obj["compress_cmd"] = compressor else: raise IOError("An input file of unknown type was provided: %s" % filepath) return return_obj class FileDiverter(object): """ This reads bytes from a TarInfo file stream, writes them to a disk file and returns the buffered bytes as they are read """ def __init__(self, fileinfo, fileobj, written_mirror_file=None, extract_numeric_owner=False): self.written_mirror_file = open(written_mirror_file,"wb") self.fileinfo = fileinfo self.fileobj = fileobj self.extract_numeric_owner = extract_numeric_owner def __del__(self): self.written_mirror_file.close() tar_in.chown(self.fileinfo, self.written_mirror_file.name, self.extract_numeric_owner) if not self.fileinfo.issym(): tar_in.chmod(self.fileinfo, self.written_mirror_file.name) tar_in.utime(self.fileinfo, self.written_mirror_file.name) def read(self, size): assert size is not None buf = self.fileobj.read(size) self.written_mirror_file.write(buf) return buf if extract_to_disk_path and not os.path.isdir(extract_to_disk_path): mkdir_p(extract_to_disk_path) if out_compressed_tarball == "-": if not pipe_hint_out: raise IOError("cannot autodetect compression for stdoud unless pipeOutHint provided") compressor = choose_compressor(pipe_hint_out, threads=threads)["compress_cmd"] outfile = None else: compressor = choose_compressor(out_compressed_tarball, threads=threads)["compress_cmd"] outfile = open(out_compressed_tarball, "w") out_compress_ps = subprocess.Popen(compressor, stdout=sys.stdout if out_compressed_tarball == "-" else outfile, stdin=subprocess.PIPE) tar_out = tarfile.open(fileobj=out_compress_ps.stdin, mode="w|") for in_compressed_tarball in input_compressed_tarballs: if in_compressed_tarball != "-": pigz_ps = subprocess.Popen(choose_compressor(in_compressed_tarball)["decompress_cmd"] + [in_compressed_tarball], stdout=subprocess.PIPE) else: if not pipe_hint_in: raise IOError("cannot autodetect compression for stdin unless pipeInHint provided") pigz_ps = subprocess.Popen(choose_compressor(pipe_hint_in)["decompress_cmd"] + [in_compressed_tarball], stdout=subprocess.PIPE, stdin=sys.stdin) tar_in = tarfile.open(fileobj=pigz_ps.stdout, mode="r|", ignore_zeros=True) fileinfo = tar_in.next() while fileinfo is not None: if extract_to_disk_path: target_path = os.path.normpath(os.path.join(extract_to_disk_path, fileinfo.name).rstrip("/")) containing_path = os.path.dirname(target_path) mkdir_p(containing_path) if avoid_disk_roundtrip and fileinfo.isreg(): # avoid disk round trip for regular files (don't re-read from disk to write to new tar) fileobj = tar_in.extractfile(fileinfo) tar_out.addfile(fileinfo, fileobj=FileDiverter(fileinfo, fileobj, written_mirror_file=target_path)) else: # write to disk, add to new tarball from disk outfile = tar_in.extract(fileinfo, path=extract_to_disk_path) with pushd_popd(extract_to_disk_path): tar_out.add(fileinfo.name) else: # if we're not extracting to disk, stream directly between tarballs fileobj = tar_in.extractfile(fileinfo) tar_out.addfile(fileinfo, fileobj=fileobj) fileinfo = tar_in.next() pigz_ps.wait() tar_in.close() if pigz_ps.returncode != 0: raise subprocess.CalledProcessError(pigz_ps.returncode, "Call error %s" % pigz_ps.returncode) tar_out.close() out_compress_ps.stdin.close() out_compress_ps.wait() if out_compress_ps.returncode != 0: raise subprocess.CalledProcessError(out_compress_ps.returncode, "Call error %s" % out_compress_ps.returncode) if outfile is not None: outfile.close() class DBConnection: def __init__(self, db_file=None): self.should_unlink_on_exit=False if db_file==None: self.db_file = mkstempfname(suffix='.db') self.should_unlink_on_exit=True else: self.db_file=db_file self.conn = sqlite3.connect(self.db_file, isolation_level='DEFERRED') assert self.conn.isolation_level self.conn.text_factory = str self.cur = self.conn.cursor() self.cur.execute("PRAGMA foreign_keys=ON") self.cur.execute("PRAGMA foreign_keys") fk = self.cur.fetchone() #log.debug("SQLite version: %s" % sqlite3.sqlite_version) #log.debug("SQLite foreign key support: %s" % ((fk and fk[0]) and 'true' or 'false')) self.start() def start(self): pass def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() return False # ensure exceptions are propagated def close(self): if not self.conn: return self.conn.commit() self.cur.close() self.conn.close() self.conn = None self.cur = None if self.should_unlink_on_exit==True: os.unlink(self.db_file) class CountDB(DBConnection): """ This is a simple SQLite class for counting large numbers of strings where storing counts in memory would be prohibitive. """ def __init__(self, db_file=None): DBConnection.__init__(self,db_file=db_file) def start(self): DBConnection.start(self) self.cur.execute("""CREATE TABLE IF NOT EXISTS counts ( id TEXT PRIMARY KEY, count INTEGER DEFAULT 1)""") def get_count_for_ID(self, idval): self.cur.execute("SELECT id,count FROM counts WHERE id=?", [idval]) row = self.cur.fetchone() yield row or None def get_count_for_multiple_IDs(self, idvals): self.cur.execute("SELECT id,count from counts WHERE id IN (%s)" % ','.join('?'*len(idvals)), *idvals) for row in self.cur.fetchone(): yield row or None def set_count_for_ID(self, idval, count): with self.conn: # make use of UPSERT to insert or update: https://www.sqlite.org/lang_UPSERT.html self.cur.execute("INSERT INTO counts(id) VALUES (?) ON CONFLICT(id) UPDATE SET count=?", (idval, count)) def set_count_for_multiple_IDs(self, idvals, count): with self.conn: # make use of UPSERT to insert or update: https://www.sqlite.org/lang_UPSERT.html values_str=",".join(["('{}')".format(idval) for idval in idvals]) self.cur.execute("INSERT INTO counts(id) VALUES %s ON CONFLICT(id) DO UPDATE SET count=?" % values_str, (count,)) def increment_count_for_multiple_IDs(self, idvals, increment_val=1): with self.conn: for idvals_chunk in util_misc.batch_iterator(idvals, 600): values_str=",".join(["('{}')".format(idval) for idval in idvals_chunk]) # make use of "UPSERT" to insert or update: https://www.sqlite.org/lang_UPSERT.html # This string interpolation form is limited to ~1000 ids self.cur.execute("INSERT INTO counts(id) VALUES %s ON CONFLICT(id) DO UPDATE SET count=count+?" % values_str, (increment_val,)) # This is more proper, but slower and uses more memory: #self.cur.executemany("INSERT INTO counts(id) VALUES (?) ON CONFLICT(id) DO UPDATE SET count=count+?", zip(idvals_chunk, [increment_val]*len(idvals_chunk))) def add_counts_from_other_db(self, other_db): log.debug("attaching DB for merge: %s",other_db) otherdb_basename=os.path.basename(other_db) otherdb_basename = otherdb_basename[:-3] if otherdb_basename.endswith(".db") else otherdb_basename self.conn.execute("ATTACH DATABASE ? AS ?", [other_db,otherdb_basename]) with self.conn: # in "DO UPDATE SET count=excluded.count", "count" is the column the value would have been inserted into; excluded applies to the conflicting row; see: https://www.sqlite.org/lang_UPSERT.html query = """ INSERT INTO counts SELECT * FROM (SELECT id, SUM(count) sumval FROM ( SELECT id,count FROM counts UNION ALL SELECT id,count FROM %s.counts ) group by id) as p WHERE true ON CONFLICT(id) DO UPDATE SET count=excluded.count; """ % otherdb_basename self.conn.executescript(query) self.conn.execute("DETACH DATABASE ?;",[otherdb_basename]) def increment_count_for_ID(self, idval, increment_val=1): self.increment_count_for_multiple_IDs([idval], increment_val) def decrement_count_for_multiple_IDs(self, idvals, decrement_val=-1): self.increment_count_for_multiple_IDs(idvals, deccrement_val) def decrement_count_for_ID(self, idval, decrement_val=-1): self.increment_count_for_multiple_IDs([idval], decrement_val) def get_counts_descending(self): self.cur.execute("SELECT id,count FROM counts ORDER BY count DESC") for row in self.cur: yield row or None def get_num_IDS(self): return self.cur.execute("SELECT COUNT() FROM counts").fetchone()[0] ================================================ FILE: src/viral_ngs/core/illumina_indices.py ================================================ #!/usr/bin/env python """ Related only to sequence data within this file: "Oligonucleotide sequences Copyright 2016 Illumina, Inc. All rights reserved." See: https://support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/experiment-design/illumina-adapter-sequences_1000000002694-01.pdf Python code below is under the license of this repository: https://raw.githubusercontent.com/broadinstitute/viral-ngs/master/LICENSE """ import re, functools import csv import copy import math import logging from collections import OrderedDict, defaultdict from . import file as util_file, misc as util_misc # was: from viral_ngs import util log = logging.getLogger(__name__) def memoize(obj): cache = obj.cache = {} @functools.wraps(obj) def memoizer(*args, **kwargs): key = "".join([str(args),str(kwargs)]) if key not in cache: cache[key] = obj(*args, **kwargs) return cache[key] return memoizer class IlluminaIndexReference(object): def __init__(self, kit=None, instrument=None): self.kit = kit self.instrument = instrument _kits = { "TruSight Amplicon Panels":{ "_short_name":"trusight_amp", "i7":{ "A701":[{"seq":"ATCACGAC","instruments":[]}], "A702":[{"seq":"ACAGTGGT","instruments":[]}], "A703":[{"seq":"CAGATCCA","instruments":[]}], "A704":[{"seq":"ACAAACGG","instruments":[]}], "A705":[{"seq":"ACCCAGCA","instruments":[]}], "A706":[{"seq":"AACCCCTC","instruments":[]}], "A707":[{"seq":"CCCAACCT","instruments":[]}], "A708":[{"seq":"CACCACAC","instruments":[]}], "A709":[{"seq":"GAAACCCA","instruments":[]}], "A710":[{"seq":"TGTGACCA","instruments":[]}], "A711":[{"seq":"AGGGTCAA","instruments":[]}], "A712":[{"seq":"AGGAGTGG","instruments":[]}] }, "i5":{ "A501": [{"seq":"TGAACCTT", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"AAGGTTCA", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A502": [{"seq":"TGCTAAGT", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"ACTTAGCA", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A503": [{"seq":"TGTTCTCT", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"AGAGAACA", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A504": [{"seq":"TAAGACAC", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"GTGTCTTA", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A505": [{"seq":"CTAATCGA", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"TCGATTAG", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A506": [{"seq":"CTAGAACA", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"TGTTCTAG", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A507": [{"seq":"TAAGTTCC", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"GGAACTTA", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A508": [{"seq":"TAGACCTA", "instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"TAGGTCTA", "instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}] } }, "TruSight Cardio":{ "_short_name":"trusight_cardio", "i7":{ "N701": [{"seq":"TAAGGCGA","instruments":[]}], "N702": [{"seq":"CGTACTAG","instruments":[]}], "N703": [{"seq":"AGGCAGAA","instruments":[]}], "N704": [{"seq":"TCCTGAGC","instruments":[]}], "N705": [{"seq":"GGACTCCT","instruments":[]}], "N706": [{"seq":"TAGGCATG","instruments":[]}], "N707": [{"seq":"CTCTCTAC","instruments":[]}], "N708": [{"seq":"CAGAGAGG","instruments":[]}], "N709": [{"seq":"GCTACGCT","instruments":[]}], "N710": [{"seq":"CGAGGCTG","instruments":[]}], "N711": [{"seq":"AAGAGGCA","instruments":[]}], "N712": [{"seq":"GTAGAGGA","instruments":[]}] } , "i5":{ "E505": [{"seq":"GTAAGGAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"CTCCTTAC","instruments":["NextSeq","HiSeq 3000","HiSeq 4000"]}] } }, "TruSight One":{ "_short_name":"trusight_one", "i7":{ "N701":[{"seq":"TAAGGCGA","instruments":[]}], "N702":[{"seq":"CGTACTAG","instruments":[]}], "N703":[{"seq":"AGGCAGAA","instruments":[]}], "N704":[{"seq":"TCCTGAGC","instruments":[]}], "N705":[{"seq":"GGACTCCT","instruments":[]}], "N706":[{"seq":"TAGGCATG","instruments":[]}], "N707":[{"seq":"CTCTCTAC","instruments":[]}], "N708":[{"seq":"CAGAGAGG","instruments":[]}], "N709":[{"seq":"GCTACGCT","instruments":[]}], "N710":[{"seq":"CGAGGCTG","instruments":[]}], "N711":[{"seq":"AAGAGGCA","instruments":[]}], "N712":[{"seq":"GTAGAGGA","instruments":[]}] }, "i5":{ "E502": [{"seq":"CTCTCTAT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"ATAGAGAG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "E503": [{"seq":"TATCCTCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"AGAGGATA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "E504": [{"seq":"AGAGTAGA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"TCTACTCT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "E505": [{"seq":"GTAAGGAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"CTCCTTAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}] } }, "TruSight Rapid Capture":{ "_short_name":"trusight_rapid_capture", "i7":{ "N701":[{"seq":"TAAGGCGA","instruments":[]}], "N702":[{"seq":"CGTACTAG","instruments":[]}], "N703":[{"seq":"AGGCAGAA","instruments":[]}], "N704":[{"seq":"TCCTGAGC","instruments":[]}], "N705":[{"seq":"GGACTCCT","instruments":[]}], "N706":[{"seq":"TAGGCATG","instruments":[]}], "N707":[{"seq":"CTCTCTAC","instruments":[]}], "N708":[{"seq":"CAGAGAGG","instruments":[]}], "N709":[{"seq":"GCTACGCT","instruments":[]}], "N710":[{"seq":"CGAGGCTG","instruments":[]}], "N711":[{"seq":"AAGAGGCA","instruments":[]}], "N712":[{"seq":"GTAGAGGA","instruments":[]}] }, "i5":{ "E502": [{"seq":"CTCTCTAT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"ATAGAGAG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "E505": [{"seq":"GTAAGGAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"CTCCTTAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "E506": [{"seq":"ACTGCATA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"TATGCAGT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "E517": [{"seq":"GCGTAAGA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"TCTTACGC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}] } }, "TruSight Tumor 15":{ "_short_name":"trusight_tumor_15", "i7":{ "R701": [{"seq":"ATCACG","instruments":[]}], "R702": [{"seq":"CGATGT","instruments":[]}], "R703": [{"seq":"TTAGGC","instruments":[]}], "R704": [{"seq":"TGACCA","instruments":[]}], "R705": [{"seq":"ACAGTG","instruments":[]}], "R706": [{"seq":"GCCAAT","instruments":[]}], "R707": [{"seq":"CAGATC","instruments":[]}], "R708": [{"seq":"ACTTGA","instruments":[]}], "R709": [{"seq":"GATCAG","instruments":[]}], "R711": [{"seq":"GGCTAC","instruments":[]}], "R712": [{"seq":"CTTGTA","instruments":[]}], "R725": [{"seq":"ACTGAT","instruments":[]}], "R726": [{"seq":"ATGAGC","instruments":[]}], "R727": [{"seq":"ATTCCT","instruments":[]}], "R728": [{"seq":"CAAAAG","instruments":[]}], "R729": [{"seq":"CAACTA","instruments":[]}], "R730": [{"seq":"CACCGG","instruments":[]}], "R731": [{"seq":"CACGAT","instruments":[]}], "R732": [{"seq":"CACTCA","instruments":[]}], "R733": [{"seq":"CAGGCG","instruments":[]}], "R734": [{"seq":"CATGGC","instruments":[]}], "R735": [{"seq":"CATTTT","instruments":[]}], "R736": [{"seq":"CCAACA","instruments":[]}], "R749": [{"seq":"GATGCT","instruments":[]}] }, "i5":{ "A501": [{"seq":"TGAACCTT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"AAGGTTCA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}], "A502": [{"seq":"TGCTAAGT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"]}, {"seq":"ACTTAGCA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"]}] } }, "TruSight RNA Pan-Cancer Panel":{ "_short_name":"trusight_rna_pan_cancer", "indices":{ "AR001": [{"seq":"ATCACG", "instruments":[], "LT_set":"B"}], "AR002": [{"seq":"CGATGT", "instruments":[], "LT_set":"A"}], "AR003": [{"seq":"TTAGGC", "instruments":[], "LT_set":"B"}], "AR004": [{"seq":"TGACCA", "instruments":[], "LT_set":"A"}], "AR005": [{"seq":"ACAGTG", "instruments":[], "LT_set":"A"}], "AR006": [{"seq":"GCCAAT", "instruments":[], "LT_set":"A"}], "AR007": [{"seq":"CAGATC", "instruments":[], "LT_set":"A"}], "AR008": [{"seq":"ACTTGA", "instruments":[], "LT_set":"B"}], "AR009": [{"seq":"GATCAG", "instruments":[], "LT_set":"B"}], "AR010": [{"seq":"TAGCTT", "instruments":[], "LT_set":"B"}], "AR011": [{"seq":"GGCTAC", "instruments":[], "LT_set":"B"}], "AR012": [{"seq":"CTTGTA", "instruments":[], "LT_set":"A"}], "AR013": [{"seq":"AGTCAA", "instruments":[], "LT_set":"A"}], "AR014": [{"seq":"AGTTCC", "instruments":[], "LT_set":"A"}], "AR015": [{"seq":"ATGTCA", "instruments":[], "LT_set":"A"}], "AR016": [{"seq":"CCGTCC", "instruments":[], "LT_set":"A"}], "AR018": [{"seq":"GTCCGC", "instruments":[], "LT_set":"A"}], "AR019": [{"seq":"GTGAAA", "instruments":[], "LT_set":"A"}], "AR020": [{"seq":"GTGGCC", "instruments":[], "LT_set":"B"}], "AR021": [{"seq":"GTTTCG", "instruments":[], "LT_set":"B"}], "AR022": [{"seq":"CGTACG", "instruments":[], "LT_set":"B"}], "AR023": [{"seq":"GAGTGG", "instruments":[], "LT_set":"B"}], "AR025": [{"seq":"ACTGAT", "instruments":[], "LT_set":"B"}], "AR027": [{"seq":"ATTCCT", "instruments":[], "LT_set":"B"}] }, }, "Nextera Index Kit":{ "_short_name":"nextera", "i7":{ "N701": [{"seq":"TAAGGCGA","instruments":[],"seq_in_adapter":"TCGCCTTA"}], "N702": [{"seq":"CGTACTAG","instruments":[],"seq_in_adapter":"CTAGTACG"}], "N703": [{"seq":"AGGCAGAA","instruments":[],"seq_in_adapter":"TTCTGCCT"}], "N704": [{"seq":"TCCTGAGC","instruments":[],"seq_in_adapter":"GCTCAGGA"}], "N705": [{"seq":"GGACTCCT","instruments":[],"seq_in_adapter":"AGGAGTCC"}], "N706": [{"seq":"TAGGCATG","instruments":[],"seq_in_adapter":"CATGCCTA"}], "N707": [{"seq":"CTCTCTAC","instruments":[],"seq_in_adapter":"GTAGAGAG"}], "N708": [{"seq":"CAGAGAGG","instruments":[],"seq_in_adapter":"CCTCTCTG"}], "N709": [{"seq":"GCTACGCT","instruments":[],"seq_in_adapter":"AGCGTAGC"}], "N710": [{"seq":"CGAGGCTG","instruments":[],"seq_in_adapter":"AAGAGGCA"}], "N711": [{"seq":"AAGAGGCA","instruments":[],"seq_in_adapter":"TGCCTCTT"}], "N712": [{"seq":"GTAGAGGA","instruments":[],"seq_in_adapter":"TCCTCTAC"}] }, "i5":{ "[N|S|E]501":[{"seq":"TAGATCGC","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TAGATCGC"}, {"seq":"GCGATCTA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TAGATCGC"}], "[N|S|E]502":[{"seq":"CTCTCTAT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CTCTCTAT"}, {"seq":"ATAGAGAG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CTCTCTAT"}], "[N|S|E]503":[{"seq":"TATCCTCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TATCCTCT"}, {"seq":"AGAGGATA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TATCCTCT"}], "[N|S|E]504":[{"seq":"AGAGTAGA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"AGAGTAGA"}, {"seq":"TCTACTCT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"AGAGTAGA"}], "[N|S|E]505":[{"seq":"GTAAGGAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"GTAAGGAG"}, {"seq":"CTCCTTAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"GTAAGGAG"}], "[N|S|E]506":[{"seq":"ACTGCATA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"ACTGCATA"}, {"seq":"TATGCAGT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"ACTGCATA"}], "[N|S|E]507":[{"seq":"AAGGAGTA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"AAGGAGTA"}, {"seq":"TACTCCTT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"AAGGAGTA"}], "[N|S|E]508":[{"seq":"CTAAGCCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CTAAGCCT"}, {"seq":"AGGCTTAG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CTAAGCCT"}], "[N|S|E]517":[{"seq":"GCGTAAGA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"GCGTAAGA"}, {"seq":"TCTTACGC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"GCGTAAGA"}], } }, "Nextera XT Index Kit v2":{ "_short_name":"nextera_v2", "i7":{ "N701": [{"seq":"TAAGGCGA","instruments":[],"seq_in_adapter":"TCGCCTTA"}], "N702": [{"seq":"CGTACTAG","instruments":[],"seq_in_adapter":"CTAGTACG"}], "N703": [{"seq":"AGGCAGAA","instruments":[],"seq_in_adapter":"TTCTGCCT"}], "N704": [{"seq":"TCCTGAGC","instruments":[],"seq_in_adapter":"GCTCAGGA"}], "N705": [{"seq":"GGACTCCT","instruments":[],"seq_in_adapter":"AGGAGTCC"}], "N706": [{"seq":"TAGGCATG","instruments":[],"seq_in_adapter":"CATGCCTA"}], "N707": [{"seq":"CTCTCTAC","instruments":[],"seq_in_adapter":"GTAGAGAG"}], "N710": [{"seq":"CGAGGCTG","instruments":[],"seq_in_adapter":"CAGCCTCG"}], "N711": [{"seq":"AAGAGGCA","instruments":[],"seq_in_adapter":"TGCCTCTT"}], "N712": [{"seq":"GTAGAGGA","instruments":[],"seq_in_adapter":"TCCTCTAC"}], "N714": [{"seq":"GCTCATGA","instruments":[],"seq_in_adapter":"TCATGAGC"}], "N715": [{"seq":"ATCTCAGG","instruments":[],"seq_in_adapter":"CCTGAGAT"}], "N716": [{"seq":"ACTCGCTA","instruments":[],"seq_in_adapter":"TAGCGAGT"}], "N718": [{"seq":"GGAGCTAC","instruments":[],"seq_in_adapter":"GTAGCTCC"}], "N719": [{"seq":"GCGTAGTA","instruments":[],"seq_in_adapter":"TACTACGC"}], "N720": [{"seq":"CGGAGCCT","instruments":[],"seq_in_adapter":"AGGCTCCG"}], "N721": [{"seq":"TACGCTGC","instruments":[],"seq_in_adapter":"GCAGCGTA"}], "N722": [{"seq":"ATGCGCAG","instruments":[],"seq_in_adapter":"CTGCGCAT"}], "N723": [{"seq":"TAGCGCTC","instruments":[],"seq_in_adapter":"GAGCGCTA"}], "N724": [{"seq":"ACTGAGCG","instruments":[],"seq_in_adapter":"CGCTCAGT"}], "N726": [{"seq":"CCTAAGAC","instruments":[],"seq_in_adapter":"GTCTTAGG"}], "N727": [{"seq":"CGATCAGT","instruments":[],"seq_in_adapter":"ACTGATCG"}], "N728": [{"seq":"TGCAGCTA","instruments":[],"seq_in_adapter":"TAGCTGCA"}], "N729": [{"seq":"TCGACGTC","instruments":[],"seq_in_adapter":"GACGTCGA"}] }, "i5":{ "S502":[{"seq":"CTCTCTAT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CTCTCTAT"}, {"seq":"ATAGAGAG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CTCTCTAT"}], "S503":[{"seq":"TATCCTCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TATCCTCT"}, {"seq":"AGAGGATA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TATCCTCT"}], "S505":[{"seq":"GTAAGGAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"GTAAGGAG"}, {"seq":"CTCCTTAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"GTAAGGAG"}], "S506":[{"seq":"ACTGCATA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"ACTGCATA"}, {"seq":"TATGCAGT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"ACTGCATA"}], "S507":[{"seq":"AAGGAGTA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"AAGGAGTA"}, {"seq":"TACTCCTT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"AAGGAGTA"}], "S508":[{"seq":"CTAAGCCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CTAAGCCT"}, {"seq":"AGGCTTAG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CTAAGCCT"}], "S510":[{"seq":"CGTCTAAT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CGTCTAAT"}, {"seq":"ATTAGACG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CGTCTAAT"}], "S511":[{"seq":"TCTCTCCG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TCTCTCCG"}, {"seq":"CGGAGAGA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TCTCTCCG"}], "S513":[{"seq":"TCGACTAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TCGACTAG"}, {"seq":"CTAGTCGA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TCGACTAG"}], "S515":[{"seq":"TTCTAGCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TTCTAGCT"}, {"seq":"AGCTAGAA","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TTCTAGCT"}], "S516":[{"seq":"CCTAGAGT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CCTAGAGT"}, {"seq":"ACTCTAGG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CCTAGAGT"}], "S517":[{"seq":"GCGTAAGA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"GCGTAAGA"}, {"seq":"TCTTACGC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"GCGTAAGA"}], "S518":[{"seq":"CTATTAAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CTATTAAG"}, 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{"seq":"GTGAGACT","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"GTGAGACT"}], "X5383":[{"seq":"CTTGGATG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CATCCAAG"}, {"seq":"CATCCAAG","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CATCCAAG"}], "X5384":[{"seq":"GCCTATCA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TGATAGGC"}, {"seq":"TGATAGGC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TGATAGGC"}], } }, # See: https://support-docs.illumina.com/SHARE/AdapterSeq/Content/SHARE/AdapterSeq/Nextera/UDIndexesSequencesNXT.htm "IDT for Illumina UD Indexes Plate A":{ "_short_name":"IDT_for_Illumina_UDI-A", "i7":{ "IDT_UDI-A_i7-UDP0001":[{"seq":"GAACTGAGCG","instruments":[],"seq_in_adapter":"CGCTCAGTTC"}], "IDT_UDI-A_i7-UDP0002":[{"seq":"AGGTCAGATA","instruments":[],"seq_in_adapter":"TATCTGACCT"}], "IDT_UDI-A_i7-UDP0003":[{"seq":"CGTCTCATAT","instruments":[],"seq_in_adapter":"ATATGAGACG"}], "IDT_UDI-A_i7-UDP0004":[{"seq":"ATTCCATAAG","instruments":[],"seq_in_adapter":"CTTATGGAAT"}], "IDT_UDI-A_i7-UDP0005":[{"seq":"GACGAGATTA","instruments":[],"seq_in_adapter":"TAATCTCGTC"}], "IDT_UDI-A_i7-UDP0006":[{"seq":"AACATCGCGC","instruments":[],"seq_in_adapter":"GCGCGATGTT"}], "IDT_UDI-A_i7-UDP0007":[{"seq":"CTAGTGCTCT","instruments":[],"seq_in_adapter":"AGAGCACTAG"}], "IDT_UDI-A_i7-UDP0008":[{"seq":"GATCAAGGCA","instruments":[],"seq_in_adapter":"TGCCTTGATC"}], "IDT_UDI-A_i7-UDP0009":[{"seq":"GACTGAGTAG","instruments":[],"seq_in_adapter":"CTACTCAGTC"}], "IDT_UDI-A_i7-UDP0010":[{"seq":"AGTCAGACGA","instruments":[],"seq_in_adapter":"TCGTCTGACT"}], "IDT_UDI-A_i7-UDP0011":[{"seq":"CCGTATGTTC","instruments":[],"seq_in_adapter":"GAACATACGG"}], "IDT_UDI-A_i7-UDP0012":[{"seq":"GAGTCATAGG","instruments":[],"seq_in_adapter":"CCTATGACTC"}], "IDT_UDI-A_i7-UDP0013":[{"seq":"CTTGCCATTA","instruments":[],"seq_in_adapter":"TAATGGCAAG"}], "IDT_UDI-A_i7-UDP0014":[{"seq":"GAAGCGGCAC","instruments":[],"seq_in_adapter":"GTGCCGCTTC"}], "IDT_UDI-A_i7-UDP0015":[{"seq":"TCCATTGCCG","instruments":[],"seq_in_adapter":"CGGCAATGGA"}], "IDT_UDI-A_i7-UDP0016":[{"seq":"CGGTTACGGC","instruments":[],"seq_in_adapter":"GCCGTAACCG"}], "IDT_UDI-A_i7-UDP0017":[{"seq":"GAGAATGGTT","instruments":[],"seq_in_adapter":"AACCATTCTC"}], "IDT_UDI-A_i7-UDP0018":[{"seq":"AGAGGCAACC","instruments":[],"seq_in_adapter":"GGTTGCCTCT"}], "IDT_UDI-A_i7-UDP0019":[{"seq":"CCATCATTAG","instruments":[],"seq_in_adapter":"CTAATGATGG"}], "IDT_UDI-A_i7-UDP0020":[{"seq":"GATAGGCCGA","instruments":[],"seq_in_adapter":"TCGGCCTATC"}], "IDT_UDI-A_i7-UDP0021":[{"seq":"ATGGTTGACT","instruments":[],"seq_in_adapter":"AGTCAACCAT"}], "IDT_UDI-A_i7-UDP0022":[{"seq":"TATTGCGCTC","instruments":[],"seq_in_adapter":"GAGCGCAATA"}], "IDT_UDI-A_i7-UDP0023":[{"seq":"ACGCCTTGTT","instruments":[],"seq_in_adapter":"AACAAGGCGT"}], "IDT_UDI-A_i7-UDP0024":[{"seq":"TTCTACATAC","instruments":[],"seq_in_adapter":"GTATGTAGAA"}], "IDT_UDI-A_i7-UDP0025":[{"seq":"AACCATAGAA","instruments":[],"seq_in_adapter":"TTCTATGGTT"}], "IDT_UDI-A_i7-UDP0026":[{"seq":"GGTTGCGAGG","instruments":[],"seq_in_adapter":"CCTCGCAACC"}], "IDT_UDI-A_i7-UDP0027":[{"seq":"TAAGCATCCA","instruments":[],"seq_in_adapter":"TGGATGCTTA"}], "IDT_UDI-A_i7-UDP0028":[{"seq":"ACCACGACAT","instruments":[],"seq_in_adapter":"ATGTCGTGGT"}], "IDT_UDI-A_i7-UDP0029":[{"seq":"GCCGCACTCT","instruments":[],"seq_in_adapter":"AGAGTGCGGC"}], "IDT_UDI-A_i7-UDP0030":[{"seq":"CCACCAGGCA","instruments":[],"seq_in_adapter":"TGCCTGGTGG"}], "IDT_UDI-A_i7-UDP0031":[{"seq":"GTGACACGCA","instruments":[],"seq_in_adapter":"TGCGTGTCAC"}], "IDT_UDI-A_i7-UDP0032":[{"seq":"ACAGTGTATG","instruments":[],"seq_in_adapter":"CATACACTGT"}], "IDT_UDI-A_i7-UDP0033":[{"seq":"TGATTATACG","instruments":[],"seq_in_adapter":"CGTATAATCA"}], "IDT_UDI-A_i7-UDP0034":[{"seq":"CAGCCGCGTA","instruments":[],"seq_in_adapter":"TACGCGGCTG"}], "IDT_UDI-A_i7-UDP0035":[{"seq":"GGTAACTCGC","instruments":[],"seq_in_adapter":"GCGAGTTACC"}], "IDT_UDI-A_i7-UDP0036":[{"seq":"ACCGGCCGTA","instruments":[],"seq_in_adapter":"TACGGCCGGT"}], "IDT_UDI-A_i7-UDP0037":[{"seq":"TGTAATCGAC","instruments":[],"seq_in_adapter":"GTCGATTACA"}], "IDT_UDI-A_i7-UDP0038":[{"seq":"GTGCAGACAG","instruments":[],"seq_in_adapter":"CTGTCTGCAC"}], "IDT_UDI-A_i7-UDP0039":[{"seq":"CAATCGGCTG","instruments":[],"seq_in_adapter":"CAGCCGATTG"}], "IDT_UDI-A_i7-UDP0040":[{"seq":"TATGTAGTCA","instruments":[],"seq_in_adapter":"TGACTACATA"}], "IDT_UDI-A_i7-UDP0041":[{"seq":"ACTCGGCAAT","instruments":[],"seq_in_adapter":"ATTGCCGAGT"}], "IDT_UDI-A_i7-UDP0042":[{"seq":"GTCTAATGGC","instruments":[],"seq_in_adapter":"GCCATTAGAC"}], "IDT_UDI-A_i7-UDP0043":[{"seq":"CCATCTCGCC","instruments":[],"seq_in_adapter":"GGCGAGATGG"}], "IDT_UDI-A_i7-UDP0044":[{"seq":"CTGCGAGCCA","instruments":[],"seq_in_adapter":"TGGCTCGCAG"}], "IDT_UDI-A_i7-UDP0045":[{"seq":"CGTTATTCTA","instruments":[],"seq_in_adapter":"TAGAATAACG"}], "IDT_UDI-A_i7-UDP0046":[{"seq":"AGATCCATTA","instruments":[],"seq_in_adapter":"TAATGGATCT"}], "IDT_UDI-A_i7-UDP0047":[{"seq":"GTCCTGGATA","instruments":[],"seq_in_adapter":"TATCCAGGAC"}], "IDT_UDI-A_i7-UDP0048":[{"seq":"CAGTGGCACT","instruments":[],"seq_in_adapter":"AGTGCCACTG"}], "IDT_UDI-A_i7-UDP0049":[{"seq":"AGTGTTGCAC","instruments":[],"seq_in_adapter":"GTGCAACACT"}], "IDT_UDI-A_i7-UDP0050":[{"seq":"GACACCATGT","instruments":[],"seq_in_adapter":"ACATGGTGTC"}], "IDT_UDI-A_i7-UDP0051":[{"seq":"CCTGTCTGTC","instruments":[],"seq_in_adapter":"GACAGACAGG"}], "IDT_UDI-A_i7-UDP0052":[{"seq":"TGATGTAAGA","instruments":[],"seq_in_adapter":"TCTTACATCA"}], "IDT_UDI-A_i7-UDP0053":[{"seq":"GGAATTGTAA","instruments":[],"seq_in_adapter":"TTACAATTCC"}], "IDT_UDI-A_i7-UDP0054":[{"seq":"GCATAAGCTT","instruments":[],"seq_in_adapter":"AAGCTTATGC"}], "IDT_UDI-A_i7-UDP0055":[{"seq":"CTGAGGAATA","instruments":[],"seq_in_adapter":"TATTCCTCAG"}], "IDT_UDI-A_i7-UDP0056":[{"seq":"AACGCACGAG","instruments":[],"seq_in_adapter":"CTCGTGCGTT"}], "IDT_UDI-A_i7-UDP0057":[{"seq":"TCTATCCTAA","instruments":[],"seq_in_adapter":"TTAGGATAGA"}], "IDT_UDI-A_i7-UDP0058":[{"seq":"CTCGCTTCGG","instruments":[],"seq_in_adapter":"CCGAAGCGAG"}], "IDT_UDI-A_i7-UDP0059":[{"seq":"CTGTTGGTCC","instruments":[],"seq_in_adapter":"GGACCAACAG"}], "IDT_UDI-A_i7-UDP0060":[{"seq":"TTACCTGGAA","instruments":[],"seq_in_adapter":"TTCCAGGTAA"}], "IDT_UDI-A_i7-UDP0061":[{"seq":"TGGCTAATCA","instruments":[],"seq_in_adapter":"TGATTAGCCA"}], "IDT_UDI-A_i7-UDP0062":[{"seq":"AACACTGTTA","instruments":[],"seq_in_adapter":"TAACAGTGTT"}], "IDT_UDI-A_i7-UDP0063":[{"seq":"ATTGCGCGGT","instruments":[],"seq_in_adapter":"ACCGCGCAAT"}], "IDT_UDI-A_i7-UDP0064":[{"seq":"TGGCGCGAAC","instruments":[],"seq_in_adapter":"GTTCGCGCCA"}], "IDT_UDI-A_i7-UDP0065":[{"seq":"TAATGTGTCT","instruments":[],"seq_in_adapter":"AGACACATTA"}], "IDT_UDI-A_i7-UDP0066":[{"seq":"ATACCAACGC","instruments":[],"seq_in_adapter":"GCGTTGGTAT"}], "IDT_UDI-A_i7-UDP0067":[{"seq":"AGGATGTGCT","instruments":[],"seq_in_adapter":"AGCACATCCT"}], "IDT_UDI-A_i7-UDP0068":[{"seq":"CACGGAACAA","instruments":[],"seq_in_adapter":"TTGTTCCGTG"}], "IDT_UDI-A_i7-UDP0069":[{"seq":"TGGAGTACTT","instruments":[],"seq_in_adapter":"AAGTACTCCA"}], "IDT_UDI-A_i7-UDP0070":[{"seq":"GTATTGACGT","instruments":[],"seq_in_adapter":"ACGTCAATAC"}], "IDT_UDI-A_i7-UDP0071":[{"seq":"CTTGTACACC","instruments":[],"seq_in_adapter":"GGTGTACAAG"}], "IDT_UDI-A_i7-UDP0072":[{"seq":"ACACAGGTGG","instruments":[],"seq_in_adapter":"CCACCTGTGT"}], "IDT_UDI-A_i7-UDP0073":[{"seq":"CCTGCGGAAC","instruments":[],"seq_in_adapter":"GTTCCGCAGG"}], "IDT_UDI-A_i7-UDP0074":[{"seq":"TTCATAAGGT","instruments":[],"seq_in_adapter":"ACCTTATGAA"}], "IDT_UDI-A_i7-UDP0075":[{"seq":"CTCTGCAGCG","instruments":[],"seq_in_adapter":"CGCTGCAGAG"}], "IDT_UDI-A_i7-UDP0076":[{"seq":"CTGACTCTAC","instruments":[],"seq_in_adapter":"GTAGAGTCAG"}], "IDT_UDI-A_i7-UDP0077":[{"seq":"TCTGGTATCC","instruments":[],"seq_in_adapter":"GGATACCAGA"}], "IDT_UDI-A_i7-UDP0078":[{"seq":"CATTAGTGCG","instruments":[],"seq_in_adapter":"CGCACTAATG"}], "IDT_UDI-A_i7-UDP0079":[{"seq":"ACGGTCAGGA","instruments":[],"seq_in_adapter":"TCCTGACCGT"}], "IDT_UDI-A_i7-UDP0080":[{"seq":"GGCAAGCCAG","instruments":[],"seq_in_adapter":"CTGGCTTGCC"}], "IDT_UDI-A_i7-UDP0081":[{"seq":"TGTCGCTGGT","instruments":[],"seq_in_adapter":"ACCAGCGACA"}], "IDT_UDI-A_i7-UDP0082":[{"seq":"ACCGTTACAA","instruments":[],"seq_in_adapter":"TTGTAACGGT"}], "IDT_UDI-A_i7-UDP0083":[{"seq":"TATGCCTTAC","instruments":[],"seq_in_adapter":"GTAAGGCATA"}], "IDT_UDI-A_i7-UDP0084":[{"seq":"ACAAGTGGAC","instruments":[],"seq_in_adapter":"GTCCACTTGT"}], "IDT_UDI-A_i7-UDP0085":[{"seq":"TGGTACCTAA","instruments":[],"seq_in_adapter":"TTAGGTACCA"}], "IDT_UDI-A_i7-UDP0086":[{"seq":"TTGGAATTCC","instruments":[],"seq_in_adapter":"GGAATTCCAA"}], "IDT_UDI-A_i7-UDP0087":[{"seq":"CCTCTACATG","instruments":[],"seq_in_adapter":"CATGTAGAGG"}], "IDT_UDI-A_i7-UDP0088":[{"seq":"GGAGCGTGTA","instruments":[],"seq_in_adapter":"TACACGCTCC"}], "IDT_UDI-A_i7-UDP0089":[{"seq":"GTCCGTAAGC","instruments":[],"seq_in_adapter":"GCTTACGGAC"}], "IDT_UDI-A_i7-UDP0090":[{"seq":"ACTTCAAGCG","instruments":[],"seq_in_adapter":"CGCTTGAAGT"}], "IDT_UDI-A_i7-UDP0091":[{"seq":"TCAGAAGGCG","instruments":[],"seq_in_adapter":"CGCCTTCTGA"}], "IDT_UDI-A_i7-UDP0092":[{"seq":"GCGTTGGTAT","instruments":[],"seq_in_adapter":"ATACCAACGC"}], "IDT_UDI-A_i7-UDP0093":[{"seq":"ACATATCCAG","instruments":[],"seq_in_adapter":"CTGGATATGT"}], "IDT_UDI-A_i7-UDP0094":[{"seq":"TCATAGATTG","instruments":[],"seq_in_adapter":"CAATCTATGA"}], "IDT_UDI-A_i7-UDP0095":[{"seq":"GTATTCCACC","instruments":[],"seq_in_adapter":"GGTGGAATAC"}], "IDT_UDI-A_i7-UDP0096":[{"seq":"CCTCCGTCCA","instruments":[],"seq_in_adapter":"TGGACGGAGG"}], }, "i5":{ "IDT_UDI-A_i5-UDP0001":[{"seq":"TCGTGGAGCG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TCGTGGAGCG"}, {"seq":"CGCTCCACGA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TCGTGGAGCG"}], "IDT_UDI-A_i5-UDP0002":[{"seq":"CTACAAGATA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"CTACAAGATA"}, {"seq":"TATCTTGTAG","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"CTACAAGATA"}], "IDT_UDI-A_i5-UDP0003":[{"seq":"TATAGTAGCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TATAGTAGCT"}, {"seq":"AGCTACTATA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TATAGTAGCT"}], "IDT_UDI-A_i5-UDP0004":[{"seq":"TGCCTGGTGG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TGCCTGGTGG"}, {"seq":"CCACCAGGCA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TGCCTGGTGG"}], "IDT_UDI-A_i5-UDP0005":[{"seq":"ACATTATCCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"ACATTATCCT"}, {"seq":"AGGATAATGT","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"ACATTATCCT"}], "IDT_UDI-A_i5-UDP0006":[{"seq":"GTCCACTTGT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 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"IDT_UDI-A_i5-UDP0013":[{"seq":"ATCACGAAGG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"ATCACGAAGG"}, {"seq":"CCTTCGTGAT","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"ATCACGAAGG"}], "IDT_UDI-A_i5-UDP0014":[{"seq":"CGGCTCTACT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"CGGCTCTACT"}, {"seq":"AGTAGAGCCG","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"CGGCTCTACT"}], "IDT_UDI-A_i5-UDP0015":[{"seq":"GAATGCACGA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"GAATGCACGA"}, {"seq":"TCGTGCATTC","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"GAATGCACGA"}], "IDT_UDI-A_i5-UDP0016":[{"seq":"AAGACTATAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 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2000"],"seq_in_adapter":"GCCAGATCCA"}, {"seq":"TGGATCTGGC","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"GCCAGATCCA"}], "IDT_UDI-D_i5-UDP0369":[{"seq":"ACACAATATC","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"ACACAATATC"}, {"seq":"GATATTGTGT","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"ACACAATATC"}], "IDT_UDI-D_i5-UDP0370":[{"seq":"TGGAGGTAAT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TGGAGGTAAT"}, {"seq":"ATTACCTCCA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TGGAGGTAAT"}], "IDT_UDI-D_i5-UDP0371":[{"seq":"CCTTCACGTA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"CCTTCACGTA"}, {"seq":"TACGTGAAGG","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"CCTTCACGTA"}], "IDT_UDI-D_i5-UDP0372":[{"seq":"CTATACGCGG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"CTATACGCGG"}, {"seq":"CCGCGTATAG","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"CTATACGCGG"}], "IDT_UDI-D_i5-UDP0373":[{"seq":"GTTGCAGTTG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"GTTGCAGTTG"}, {"seq":"CAACTGCAAC","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"GTTGCAGTTG"}], "IDT_UDI-D_i5-UDP0374":[{"seq":"TTATGCGCCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TTATGCGCCT"}, {"seq":"AGGCGCATAA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TTATGCGCCT"}], "IDT_UDI-D_i5-UDP0375":[{"seq":"TCTCAGTACA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TCTCAGTACA"}, {"seq":"TGTACTGAGA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TCTCAGTACA"}], "IDT_UDI-D_i5-UDP0376":[{"seq":"AGTATACGGA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"AGTATACGGA"}, {"seq":"TCCGTATACT","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"AGTATACGGA"}], "IDT_UDI-D_i5-UDP0377":[{"seq":"ACGCTTGGAC","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"ACGCTTGGAC"}, {"seq":"GTCCAAGCGT","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"ACGCTTGGAC"}], "IDT_UDI-D_i5-UDP0378":[{"seq":"GGAGTAGATT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"GGAGTAGATT"}, {"seq":"AATCTACTCC","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"GGAGTAGATT"}], "IDT_UDI-D_i5-UDP0379":[{"seq":"TACACGCTCC","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TACACGCTCC"}, {"seq":"GGAGCGTGTA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TACACGCTCC"}], "IDT_UDI-D_i5-UDP0380":[{"seq":"TCCGATAGAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"TCCGATAGAG"}, {"seq":"CTCTATCGGA","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"TCCGATAGAG"}], "IDT_UDI-D_i5-UDP0381":[{"seq":"CTCAAGGCCG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"CTCAAGGCCG"}, {"seq":"CGGCCTTGAG","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"CTCAAGGCCG"}], "IDT_UDI-D_i5-UDP0382":[{"seq":"CAAGTTCATA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"CAAGTTCATA"}, {"seq":"TATGAACTTG","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"CAAGTTCATA"}], "IDT_UDI-D_i5-UDP0383":[{"seq":"AATCCTTAGG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"AATCCTTAGG"}, {"seq":"CCTAAGGATT","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"AATCCTTAGG"}], "IDT_UDI-D_i5-UDP0384":[{"seq":"GGTGGAATAC","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NextSeq 2000"],"seq_in_adapter":"GGTGGAATAC"}, {"seq":"GTATTCCACC","instruments":["iSeq","MiniSeq","NextSeq 500","NextSeq 550","HiSeq 3000","HiSeq 4000","NovaSeq"],"seq_in_adapter":"GGTGGAATAC"}], } }, "Sabeti Lab Custom RNA-seq v5":{ "_short_name":"sabeti-nextera", "i7":{ "RPI1":[{"seq":"ATCACGAT","instruments":[],"seq_in_adapter":"ATCGTGAT"}], "RPI2":[{"seq":"CGATGTAT","instruments":[],"seq_in_adapter":"ATACATCG"}], "RPI3":[{"seq":"TTAGGCAT","instruments":[],"seq_in_adapter":"ATGCCTAA"}], "RPI4":[{"seq":"TGACCAAT","instruments":[],"seq_in_adapter":"ATTGGTCA"}], "RPI5":[{"seq":"ACAGTGAT","instruments":[],"seq_in_adapter":"ATCACTGT"}], "RPI6":[{"seq":"GCCAATAT","instruments":[],"seq_in_adapter":"ATATTGGC"}], "RPI7":[{"seq":"CAGATCAT","instruments":[],"seq_in_adapter":"ATGATCTG"}], "RPI8":[{"seq":"ACTTGAAT","instruments":[],"seq_in_adapter":"ATTCAAGT"}], "RPI9":[{"seq":"GATCAGAT","instruments":[],"seq_in_adapter":"ATCTGATC"}], "RPI10":[{"seq":"TAGCTTAT","instruments":[],"seq_in_adapter":"ATAAGCTA"}], "RPI11":[{"seq":"GGCTACAT","instruments":[],"seq_in_adapter":"ATGTAGCC"}], "RPI12":[{"seq":"CTTGTAAT","instruments":[],"seq_in_adapter":"ATTACAAG"}], "RPI13":[{"seq":"AGTCAAAT","instruments":[],"seq_in_adapter":"ATTTGACT"}], "RPI14":[{"seq":"AGTTCCAT","instruments":[],"seq_in_adapter":"ATGGAACT"}], "RPI15":[{"seq":"ATGTCAAT","instruments":[],"seq_in_adapter":"ATTGACAT"}], "RPI16":[{"seq":"CCGTCCAT","instruments":[],"seq_in_adapter":"ATGGACGG"}], "RPI17":[{"seq":"GTAGAGAT","instruments":[],"seq_in_adapter":"ATCTCTAC"}], "RPI18":[{"seq":"GTCCGCAT","instruments":[],"seq_in_adapter":"ATGCGGAC"}], "RPI19":[{"seq":"GTGAAAAT","instruments":[],"seq_in_adapter":"ATTTTCAC"}], "RPI20":[{"seq":"GTGGCCAT","instruments":[],"seq_in_adapter":"ATGGCCAC"}], "RPI21":[{"seq":"GTTTCGAT","instruments":[],"seq_in_adapter":"ATCGAAAC"}], "RPI22":[{"seq":"CGTACGAT","instruments":[],"seq_in_adapter":"ATCGTACG"}], "RPI23":[{"seq":"GAGTGGAT","instruments":[],"seq_in_adapter":"ATCCACTC"}], "RPI24":[{"seq":"GGTAGCAT","instruments":[],"seq_in_adapter":"ATGCTACC"}], "RPI25":[{"seq":"ACTGATAT","instruments":[],"seq_in_adapter":"ATATCAGT"}], "RPI26":[{"seq":"ATGAGCAT","instruments":[],"seq_in_adapter":"ATGCTCAT"}], "RPI27":[{"seq":"ATTCCTAT","instruments":[],"seq_in_adapter":"ATAGGAAT"}], "RPI28":[{"seq":"CAAAAGAT","instruments":[],"seq_in_adapter":"ATCTTTTG"}], "RPI29":[{"seq":"CAACTAAT","instruments":[],"seq_in_adapter":"ATTAGTTG"}], "RPI30":[{"seq":"CACCGGAT","instruments":[],"seq_in_adapter":"ATCCGGTG"}], "RPI31":[{"seq":"CACGATAT","instruments":[],"seq_in_adapter":"ATATCGTG"}], "RPI32":[{"seq":"CACTCAAT","instruments":[],"seq_in_adapter":"ATTGAGTG"}], "RPI33":[{"seq":"CAGGCGAT","instruments":[],"seq_in_adapter":"ATCGCCTG"}], "RPI34":[{"seq":"CATGGCAT","instruments":[],"seq_in_adapter":"ATGCCATG"}], "RPI35":[{"seq":"CATTTTAT","instruments":[],"seq_in_adapter":"ATAAAATG"}], "RPI36":[{"seq":"CCAACAAT","instruments":[],"seq_in_adapter":"ATTGTTGG"}], "RPI37":[{"seq":"CGGAATAT","instruments":[],"seq_in_adapter":"ATATTCCG"}], "RPI38":[{"seq":"CTAGCTAT","instruments":[],"seq_in_adapter":"ATAGCTAG"}], "RPI39":[{"seq":"CTATACAT","instruments":[],"seq_in_adapter":"ATGTATAG"}], "RPI40":[{"seq":"CTCAGAAT","instruments":[],"seq_in_adapter":"ATTCTGAG"}], "RPI41":[{"seq":"GACGACAT","instruments":[],"seq_in_adapter":"ATGTCGTC"}], "RPI42":[{"seq":"TAATCGAT","instruments":[],"seq_in_adapter":"ATCGATTA"}], "RPI43":[{"seq":"TACAGCAT","instruments":[],"seq_in_adapter":"ATGCTGTA"}], "RPI44":[{"seq":"TATAATAT","instruments":[],"seq_in_adapter":"ATATTATA"}], "RPI45":[{"seq":"TCATTCAT","instruments":[],"seq_in_adapter":"ATGAATGA"}], "RPI46":[{"seq":"TCCCGAAT","instruments":[],"seq_in_adapter":"ATTCGGGA"}], "RPI47":[{"seq":"TCGAAGAT","instruments":[],"seq_in_adapter":"ATCTTCGA"}], "RPI48":[{"seq":"TCGGCAAT","instruments":[],"seq_in_adapter":"ATTGCCGA"}], }, "i5":{ "RP1":[{"seq":"GTTCAGAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"GTTCAGAG"}, {"seq":"CTCTGAAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"GTTCAGAG"}], "RP1-v4":[{"seq":"AAGTGCTA","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"AAGTGCTA"}, {"seq":"CTCTGAAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"AAGTGCTA"}], "RP2-v4":[{"seq":"CTCGAAGC","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"CTCGAAGC"}, {"seq":"CTCTGAAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"CTCGAAGC"}], "RP3-v4":[{"seq":"TCACTGCT","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"TCACTGCT"}, {"seq":"CTCTGAAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"TCACTGCT"}], "RP4-v4":[{"seq":"GGTACTAG","instruments":["MiSeq","HiSeq 2000","HiSeq 2500","NovaSeq"],"seq_in_adapter":"GGTACTAG"}, {"seq":"CTCTGAAC","instruments":["iSeq","MiniSeq","NextSeq","HiSeq 3000","HiSeq 4000"],"seq_in_adapter":"GGTACTAG"}], } }, } @classmethod @memoize def neighbors(cls, seq, distance=1): ''' Returns a list Hamming-distance of 1 from the input seq''' neighbor_list = [] seq = seq.rstrip() for i in range(0, len(seq.rstrip())): for j in ["A", "C", "G", "T", "N"]: if j == seq[i].upper(): continue # Do not include the seq itself q = seq[0:i] + j + seq[i+1:] neighbor_list.append(q) if distance==1: return sorted(neighbor_list) else: return sorted(list(set([item for sublist in (cls.neighbors(s, distance=distance-1) for s in neighbor_list) for item in sublist if item!=seq]))) @staticmethod def reverse_complement(seq): """ Returns the reverse complement using string.maketrans """ table = bytearray.maketrans(b"ACTGN",b"TGACN") return bytearray(seq.encode("UTF8")).translate(table)[::-1].decode("UTF8") @property @memoize def _barcodes_meta_all(self): barcodes = [] for kit_name,kit_value in self._kits.items(): for item_key,item_value in kit_value.items(): if type(item_value) == dict: for index_name,index_value in item_value.items(): for barcode_meta in index_value: barcodes.append(barcode_meta) return barcodes @classmethod @memoize def kits(cls): return sorted(list(cls._kits.keys())) @property def instruments(self): instruments = set() for barcode_meta in self._barcodes_meta_all: ins_for_barcode = barcode_meta.get("instruments","") if len(ins_for_barcode): instruments |= set(ins_for_barcode) return sorted(list(instruments)) @memoize def index_for_seq(self, seq, kit=None, instrument=None): # use kit/instrument passed in if present # value forinstrument, if present, if neither return list of options possible_indices = set() for kit_name,kit_value in self._kits.items(): if not kit or (kit_name == kit) or (kit_value["_short_name"]==kit): for item_key,item_value in kit_value.items(): if type(item_value) == dict: for index_name,index_value in item_value.items(): for barcode_meta in index_value: if barcode_meta["seq"] == seq: if not instrument or instrument in barcode_meta["instruments"]: possible_indices |= set([index_name]) return sorted(list(possible_indices)) @memoize def seq_for_index(self, index, kit=None, instrument=None): # use kit/instrument passed in if present # value forinstrument, if present, if neither return list of options possible_seqs = set() for kit_name,kit_value in self._kits.items(): if not kit or (kit_name == kit) or (kit_value["_short_name"]==kit): for item_key,item_value in kit_value.items(): if type(item_value) == dict: for index_name,index_value in item_value.items(): matches = re.match("(?P"+index_name+")", index) if matches: for barcode_meta in index_value: if not instrument or instrument in barcode_meta["instruments"]: possible_seqs |= set([barcode_meta["seq"]]) return sorted(list(possible_seqs)) @memoize def guess_index(self, seq, distance=1, kit=None, instrument=None): # using neighbors()... # use kit/instrument if present possible_indices = set() # first include exact matches exact_matches = self.index_for_seq(seq, kit=kit, instrument=instrument) if len(exact_matches): possible_indices |= set(exact_matches) else: # then include barcodes _distance_ away for neighbor_seq in self.neighbors(seq, distance=distance): possible_indices |= set(self.index_for_seq(neighbor_seq, kit=kit, instrument=instrument)) return sorted(list(possible_indices)) class UncertainSamplesheetError(Exception): pass class IlluminaBarcodeHelper(object): index_reference = IlluminaIndexReference() def __init__(self, barcode_counts, picard_metrics, sample_name, rows_limit=1000): # (barcode1,barcode2): count self.barcodes_seen = OrderedDict() # barcode: illumina index name (N507, etc.) self.barcode_name_map = OrderedDict() # sample_name: (barcode1,barcode2) self.sample_to_barcodes = OrderedDict() # list of all sample names (barcode_name from Picard metrics file) self.samples = [] # sample_name: count self.sample_to_read_counts = OrderedDict() # unresolved barcode pair count self.unassigned_read_count = 0 # read Picard demux metrics file for row in util_file.read_tabfile_dict(picard_metrics, skip_prefix="#"): barcodes = tuple(row["BARCODE"].split("-")) if "BARCODE_NAME" in row: self.sample_to_barcodes[row["BARCODE_NAME"]] = barcodes self.samples.append(row["BARCODE_NAME"]) self.sample_to_read_counts[row["BARCODE_NAME"]] = int(row["READS"]) elif all(re.match(r'^N+$',barcode) for barcode in barcodes): self.unassigned_read_count = int(row["READS"]) continue # read barcodes seen in the file, in the format: #Barcode1 Likely_Index_Names1 Barcode2 Likely_Index_Names2 Count #CTCTCTAC N707 AAGGAGTA S507,[N|S|E]507 40324834 for row in util_file.read_tabfile_dict(barcode_counts, rowcount_limit=rows_limit): if (row["Barcode1"],row.get("Barcode2",None)) not in self.barcodes_seen: self.barcodes_seen[(row["Barcode1"],row.get("Barcode2",None))] = int(row["Count"]) self.barcode_name_map[row["Barcode1"]] = row["Likely_Index_Names1"] if "Barcode2" in row and row["Barcode2"]: self.barcode_name_map[row["Barcode2"]] = row["Likely_Index_Names2"] def outlier_barcodes(self, outlier_threshold=0.775, expected_assigned_fraction=0.7, number_of_negative_controls=1): """ This identifies samples listed in the Picard metrics (derived from the sample sheet) that are believed to have an anomalously low number of reads after demultiplexing, based on the following assumptions: - The pool of samples will have (at least) one negative control that should yield zero reads - The total number of reads should be evenly distributed among the rest of the samples since the nucleic acid concentration should be roughly balanced in the pool - The variation among what should be evenly distributed is gaussian A warning is raised if <70% of the total reads are assigned (likely indicating multiple problems with the samplesheet). Loosely based on the method for outlier detection specified in Boris Iglewicz and David Hoaglin (1993), "Volume 16: How to Detect and Handle Outliers", The ASQC Basic References in Quality Control: Statistical Techniques Params: outlier_threshold (float): 0.675, corresponds to 75th percentile expected_assigned_fraction (float): fraction of reads assigned to samples number_of_negative_controls (int): the number of samples in the pool expected to have zero reads """ ##log.debug(f"outlier_threshold {outlier_threshold}") assigned_read_count = sum(self.sample_to_read_counts.values()) total_read_count = assigned_read_count+self.unassigned_read_count fraction_assigned = float(assigned_read_count)/float(total_read_count) log.info("fraction_assigned %s", fraction_assigned) if fraction_assigned < expected_assigned_fraction: raise UncertainSamplesheetError("Only {:.0%} of reads were assigned to barcode pairs listed in the samplesheet. Check the sample sheet for errors.".format(fraction_assigned)) num_samples = len(self.sample_to_read_counts) assert number_of_negative_controls0 else 0 for x in list(self.sample_to_read_counts.values()) ] ##log.debug(f"log_obs_fractions_of_pool {log_obs_fractions_of_pool}") log_exp_fractions_of_pool = [-math.log(1.0/float(num_samples-number_of_negative_controls),10)]*num_samples ##log.warning(f"log_exp_fractions_of_pool {log_exp_fractions_of_pool}") residuals = [obs-exp for (obs,exp) in zip(log_obs_fractions_of_pool,log_exp_fractions_of_pool)] resid_stdev = self.stddevp(residuals) #essentially RMSE resid_mean = self.mean(residuals) # mean error resid_median = self.median(residuals) # median error # set stdev to 1 if it is zero to cause no standardization below # (zero will cause div-by-zero error) # stdev is an edge case where read counts are all the same # across the board resid_stdev = resid_stdev if resid_stdev!=0 else 1.0 ##log.debug(f"residuals {residuals}") ##log.debug(f"resid_stdev {resid_stdev}") ##log.debug(f"resid_mean {resid_mean}") ##log.debug(f"resid_median {resid_median}") # modifed zscore using median to reduce influence of outliers zscores_residual_relative_to_median = [float(1.0 * (x-resid_median))/resid_stdev for x in residuals] ##log.debug(f"zscores_residual_relative_to_median {zscores_residual_relative_to_median}") # only consider LOW variance indices_of_outliers = [i for i,v in enumerate(zscores_residual_relative_to_median) if v > outlier_threshold] indices_of_outliers += [i for i,v in enumerate(list(self.sample_to_read_counts.values())) if v==0] ##log.debug("self.sample_to_read_counts.keys() {}".format(self.sample_to_read_counts.keys())) names_of_outlier_samples = [(list(self.sample_to_read_counts.keys()))[i] for i in indices_of_outliers] log.warning("outlier samples") for s in names_of_outlier_samples: log.warning("\t%s (%s reads)", s,self.sample_to_read_counts[s]) return names_of_outlier_samples @classmethod def mean(cls, nums): return sum(nums) / len(nums) @classmethod def stddevp(cls, nums): """population standard deviation of nums""" mn = cls.mean(nums) variance = sum([(e-mn)**2 for e in nums]) / len(nums) return math.sqrt(variance) @classmethod def median(cls, nums): length = len(nums) if length < 1: return None if length % 2 == 1: # if this is a list with an odd number of elements, # return the middle element from a sorted version of the list return sorted(nums)[length//2] else: # otherwise if the list has an even number of elements # return the interpolated mean of the middle two numbers return sum(sorted(nums)[length//2-1:length//2+1])/2.0 def guess_barcodes_for_sample(self, sample_name): """ This guesses the barcode value for a sample name, based on the following: - a list is made of novel barcode pairs seen in the data, but not in the picard metrics - for the sample in question, get the most abundant novel barcode pair where one of the barcodes seen in the data matches one of the barcodes in the picard metrics (partial match) - if there are no partial matches, get the most abundant novel barcode pair Limitations: - If multiple samples share a barcode with multiple novel barcodes, disentangling them is difficult or impossible """ # output_header = ["sample_name", # "expected_barcode_1","expected_barcode_1_name", # "expected_barcode_2","expected_barcode_2_name" # "expected_barcodes_read_count", # "guessed_barcode_1","guessed_barcode_1_name", # "guessed_barcode_2","guessed_barcode_2_name" # "guessed_barcodes_read_count", # "match_type" # ] out_dict = OrderedDict() out_dict["sample_name"] = sample_name out_dict["match_type"] = "not_found" barcodes_seen_novel = copy.deepcopy(self.barcodes_seen) # From barcodes seen in data, collect barcode pairs not expected based on sample sheet novel_barcode_pairs = [] for barcode_pair in self.barcodes_seen.keys(): barcode = tuple((b for b in barcode_pair if b is not None)) if barcode not in self.sample_to_barcodes.values(): novel_barcode_pairs.append(barcode_pair) else: del barcodes_seen_novel[barcode_pair] is_dual_index = len(self.sample_to_barcodes[sample_name]) > 1 out_dict["expected_barcode_1"] = self.sample_to_barcodes[sample_name][0] out_dict["expected_barcode_1_name"] = ",".join(self.index_reference.guess_index(self.sample_to_barcodes[sample_name][0])) if is_dual_index: out_dict["expected_barcode_2"] = self.sample_to_barcodes[sample_name][1] out_dict["expected_barcode_2_name"] = ",".join(self.index_reference.guess_index(self.sample_to_barcodes[sample_name][1])) out_dict["expected_barcodes_read_count"] = self.sample_to_read_counts[sample_name] claimed_barcodes = self.sample_to_barcodes[sample_name] found_partial_match = False putative_match = None if is_dual_index: # barcodes_seen_novel is sorted by read count, desc for (barcode_pair,count) in barcodes_seen_novel.items(): if barcode_pair[0]==claimed_barcodes[0] or barcode_pair[1]==claimed_barcodes[1]: found_partial_match=True putative_match = barcode_pair out_dict["match_type"] = "one_barcode_match" break else: # barcodes_seen_novel is sorted by read count, desc for (barcode_pair,count) in barcodes_seen_novel.items(): # get barcode with greatest count that isn't the one we're looking for if barcode_pair[0]!=claimed_barcodes[0]: found_partial_match=True putative_match = barcode_pair out_dict["match_type"] = "one_barcode_match" break # find index of match to help determine if it is a reasonable guess idx_of_match = -1 for (idx,(barcode_pair,count)) in enumerate(self.barcodes_seen.items()): if barcode_pair==putative_match: idx_of_match=idx break # if the one-barcode match is too far down the list of barcode pairs seen # (farther down than 1.5x the number of samples) if not found_partial_match or idx_of_match>(len(self.sample_to_read_counts)*1.5): for (barcode_pair,count) in barcodes_seen_novel.items(): # return the most pair with greatest count putative_match = barcode_pair out_dict["match_type"] = "high_count_novel_barcode" break out_dict["guessed_barcode_1"] = "unknown" out_dict["guessed_barcode_1_name"] = "unknown" #out_dict["guessed_barcodes_read_count"] = 0 if is_dual_index and (putative_match is not None and putative_match[1] != None): out_dict["guessed_barcode_2"] = "unknown" out_dict["guessed_barcode_2_name"] = "unknown" if putative_match is not None and putative_match[0]!=None: out_dict["guessed_barcode_1"] = putative_match[0] out_dict["guessed_barcode_1_name"] = self.barcode_name_map[putative_match[0]] if is_dual_index and putative_match[1] != None: out_dict["guessed_barcode_2"] = putative_match[1] out_dict["guessed_barcode_2_name"] = self.barcode_name_map[putative_match[1]] out_dict["guessed_barcodes_read_count"] = self.barcodes_seen[(putative_match[0],putative_match[1])] return out_dict def find_uncertain_barcodes(self, sample_names=None, outlier_threshold=0.675, expected_assigned_fraction=0.7, number_of_negative_controls=None, readcount_threshold=None, neg_control_prefixes=None): """ If sample_names is specified, barcodes for the named samples will be re-examined. If readcount_threshold is specified, this will be used as the cutoff above which sample barcodes will not be re-examined. If this is not specified, outliers will be detected automatically. """ samples_to_examine = sample_names or [] neg_control_prefixes = neg_control_prefixes or ["neg", "water", "NTC", "H2O"] inferred_ntc_count = [s.upper().startswith(tuple([p.upper() for p in neg_control_prefixes])) for s in self.sample_to_read_counts.keys()].count(True) number_of_negative_controls = number_of_negative_controls or inferred_ntc_count guessed_barcodes = [] if not samples_to_examine: if readcount_threshold: for sample_name,count in self.sample_to_read_counts.items(): if count < readcount_threshold: samples_to_examine.append(sample_name) else: samples_to_examine = self.outlier_barcodes(outlier_threshold=outlier_threshold, expected_assigned_fraction=expected_assigned_fraction, number_of_negative_controls=number_of_negative_controls) for s in samples_to_examine: guessed_barcodes.append(self.guess_barcodes_for_sample(s)) consolidated_guesses = defaultdict(list) for row in guessed_barcodes: consolidated_guesses[(row["guessed_barcode_1"],row.get("guessed_barcode_2",None))].append(row) final_guesses = [] def clear_guessed_fields(sample,match_reason,fields_to_clear=None): fields_to_clear = fields_to_clear or ["guessed_barcode_1", "guessed_barcode_2", "guessed_barcode_1_name", "guessed_barcode_2_name", "guessed_barcodes_read_count"] for field in fields_to_clear: if field in sample: sample[field] = None sample["match_type"] = match_reason return sample for barcode_pair,samples in consolidated_guesses.items(): if len(samples) > 1: log.warning("Ambiguous! Multiple samples corresponding to guessed barcodes %s:", barcode_pair) for sample in samples: log.warning("\t%s expected (%s,%s); -> Guessed (%s,%s); match type: %s", sample["sample_name"], sample["expected_barcode_1"],sample.get("expected_barcode_2",""),sample["guessed_barcode_1"],sample.get("guessed_barcode_2",""),sample["match_type"]) final_guesses.append(clear_guessed_fields(sample, "alternative_indices_uncertain")) else: for sample in samples: if sample["guessed_barcodes_read_count"] < sample["expected_barcodes_read_count"]: final_guesses.append(clear_guessed_fields(sample, "alternatives_have_lower_read_counts")) else: final_guesses.append(sample) return final_guesses def write_guessed_barcodes(self, out_tsv, guessed_barcodes): possible_header_cols = ["sample_name", "expected_barcode_1","expected_barcode_2", "expected_barcode_1_name","expected_barcode_2_name", "expected_barcodes_read_count", "guessed_barcode_1", "guessed_barcode_2", "guessed_barcode_1_name", "guessed_barcode_2_name", "guessed_barcodes_read_count", "match_type" ] output_header_columns = [] for header_key in possible_header_cols: for row in guessed_barcodes: if header_key in row.keys() and header_key not in output_header_columns: output_header_columns.append(header_key) with open(out_tsv, 'w') as tsvfile: csv.register_dialect('dict_tsv', quoting=csv.QUOTE_MINIMAL, delimiter="\t") writer = csv.DictWriter(tsvfile, fieldnames=output_header_columns, dialect="dict_tsv") writer.writeheader() writer.writerows(guessed_barcodes) ================================================ FILE: src/viral_ngs/core/illumina_utils.py ================================================ #!/usr/bin/env python3 """ Utilities for Illumina data handling, including directory management, run information parsing, and sample sheet processing. """ import csv import logging import os import re import shutil import tempfile import xml.etree.ElementTree import arrow import pandas as pd from . import file as util_file from . import misc as util_misc log = logging.getLogger(__name__) # ============================ # *** IlluminaDirectory *** # ============================ class IlluminaDirectory(object): """A class that handles Illumina data directories""" def __init__(self, uri): self.uri = uri self.path = None self.tempDir = None self.runinfo = None self.samplesheet = None def __enter__(self): self.load() return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() return 0 def load(self): if self.path is None: if "://" in self.uri: raise NotImplementedError("boto s3 download here uri -> tarball") else: if os.path.isdir(self.uri): self.path = self.uri else: self._extract_tarball(self.uri) self._fix_path() def _fix_path(self): assert self.path is not None # this is not the correct root-level directory # sometimes this points to one level up while True: if os.path.isdir( os.path.join(self.path, "Data", "Intensities", "BaseCalls") ): # found it! self.path is correct break else: subdirs = list( os.path.join(self.path, x) for x in os.listdir(self.path) if os.path.isdir(os.path.join(self.path, x)) ) if len(subdirs) == 1: # follow the rabbit hole self.path = subdirs[0] else: # don't know where to go now! raise Exception( "cannot find Data/Intensities/BaseCalls/ inside %s (%s)" % (self.uri, self.path) ) def _extract_tarball(self, tarfile): self.tempDir = tempfile.mkdtemp(prefix="IlluminaDirectory-") self.path = self.tempDir util_file.extract_tarball(tarfile, self.tempDir) def close(self): if self.tempDir: shutil.rmtree(self.tempDir) self.tempDir = None def get_RunInfo(self): if self.runinfo is None: runinfo_file = os.path.join(self.path, "RunInfo.xml") util_file.check_paths(runinfo_file) self.runinfo = RunInfo(runinfo_file) return self.runinfo def get_SampleSheet(self, only_lane=None, append_run_id=None, **kwargs): if self.samplesheet is None: samplesheet_file = os.path.join(self.path, "SampleSheet.csv") util_file.check_paths(samplesheet_file) self.samplesheet = SampleSheet( samplesheet_file, only_lane=only_lane, append_run_id=append_run_id, **kwargs ) return self.samplesheet def get_intensities_dir(self): return os.path.join(self.path, "Data", "Intensities") def get_BCLdir(self): return os.path.join(self.get_intensities_dir(), "BaseCalls") # ================== # *** RunInfo *** # ================== class RunInfo(object): """A class that reads the RunInfo.xml file emitted by Illumina MiSeq and HiSeq machines. """ def __init__(self, xml_fname): self.fname = xml_fname self.root = xml.etree.ElementTree.parse(xml_fname).getroot() def get_fname(self): return self.fname def get_run_id(self): return self.root[0].attrib["Id"] def get_flowcell_raw(self): return self.root[0].find("Flowcell").text def get_flowcell(self): fc = self.get_flowcell_raw() # slice in the case where the ID has a prefix of zeros if re.match(r"^0+-", fc): if "-" in fc: # miseq often adds a bunch of leading zeros and a dash in front fc = "-".join(fc.split("-")[1:]) # >=5 to avoid an exception here # <= 15 to limit the bytes added to each bam record assert len(fc) >= 5, "The flowcell ID must be five or more characters in length" if len(fc) > 15: log.warning( "The provided flowcell ID is longer than 15 characters. Is that correct?" ) return fc def _get_rundate_obj(self): """ Access the text of the node in the RunInfo.xml file and returns an arrow date object. """ rundate = self.root[0].find("Date").text datestring_formats = [ "YYMMDD", "YYYYMMDD", "M/D/YYYY h:mm:ss A", "YYYY-MM-DDTHH:mm:ssZ", ] for datestring_format in datestring_formats: try: date_parsed = arrow.get(rundate, datestring_format) return date_parsed except arrow.parser.ParserError: pass raise arrow.parser.ParserError( "The date string seen in RunInfo.xml ('%s') did not match known Illumina formats: %s" % (rundate, datestring_formats) ) def get_rundate_american(self): return str(self._get_rundate_obj().format("MM/DD/YYYY")) def get_rundate_iso(self): return str(self._get_rundate_obj().format("YYYY-MM-DD")) def get_machine(self): return self.root[0].find("Instrument").text def get_read_structure(self): reads = [] for x in self.root[0].find("Reads").findall("Read"): order = int(x.attrib["Number"]) read = x.attrib["NumCycles"] + ( x.attrib["IsIndexedRead"] == "Y" and "B" or "T" ) reads.append((order, read)) return "".join([r for _, r in sorted(reads)]) def num_reads(self): return sum( 1 for x in self.root[0].find("Reads").findall("Read") if x.attrib["IsIndexedRead"] == "N" ) def get_lane_count(self): layout = self.root[0].find("FlowcellLayout") return int(layout.attrib["LaneCount"]) def get_surface_count(self): layout = self.root[0].find("FlowcellLayout") return int(layout.attrib["SurfaceCount"]) def get_swath_count(self): layout = self.root[0].find("FlowcellLayout") return int(layout.attrib["SwathCount"]) def get_tile_count(self): layout = self.root[0].find("FlowcellLayout") return int(layout.attrib["TileCount"]) def get_section_count(self): layout = self.root[0].find("FlowcellLayout") return int(layout.attrib.get("SectionPerLane", 1)) def tile_count(self): lane_count = self.get_lane_count() surface_count = self.get_surface_count() swath_count = self.get_swath_count() tile_count = self.get_tile_count() section_count = self.get_section_count() total_tile_count = ( lane_count * surface_count * swath_count * tile_count * section_count ) return total_tile_count def machine_model_from_tile_count(self): """Return machine name and lane count based on tile count""" tc = self.tile_count() machine = None if tc == 2: log.info("Detected %s tiles, interpreting as MiSeq nano run.", tc) machine = {"machine": "Illumina MiSeq", "lane_count": 1} elif tc == 8: log.info("Detected %s tiles, interpreting as MiSeq micro run.", tc) machine = {"machine": "Illumina MiSeq", "lane_count": 1} elif tc == 16: log.info("Detected %s tiles, interpreting as iSeq run.", tc) machine = {"machine": "Illumina iSeq 100", "lane_count": 1} elif tc == 28: log.info("Detected %s tiles, interpreting as MiSeq run.", tc) machine = {"machine": "Illumina MiSeq", "lane_count": 1} elif tc == 38: log.info("Detected %s tiles, interpreting as MiSeq run.", tc) machine = {"machine": "Illumina MiSeq", "lane_count": 1} elif tc == 32: log.info("Detected %s tiles, interpreting as NextSeq 1000/2000 P1 run.", tc) machine = {"machine": "NextSeq 1000/2000", "lane_count": 1} elif tc == 128: log.info("Detected %s tiles, interpreting as HiSeq2k run.", tc) machine = {"machine": "Illumina HiSeq 2500", "lane_count": 2} elif tc == 132: log.info("Detected %s tiles, interpreting as NextSeq 1000/2000 P2 run.", tc) machine = {"machine": "NextSeq 1000/2000", "lane_count": 1} elif tc == 264: log.info("Detected %s tiles, interpreting as NextSeq 2000 P3 run.", tc) machine = {"machine": "NextSeq 2000", "lane_count": 2} elif tc == 288: log.info("Detected %s tiles, interpreting as NextSeq 550 (mid-output) run.", tc) machine = {"machine": "NextSeq 550", "lane_count": 4} elif tc == 624: log.info("Detected %s tiles, interpreting as Illumina NovaSeq 6000 run.", tc) machine = {"machine": "Illumina NovaSeq 6000", "lane_count": 2} elif tc == 768: log.info("Detected %s tiles, interpreting as HiSeq2500 run.", tc) machine = {"machine": "Illumina HiSeq 2500", "lane_count": 8} elif tc == 864: log.info("Detected %s tiles, interpreting as NextSeq 550 (high-output) run.", tc) machine = {"machine": "NextSeq 550", "lane_count": 4} elif tc == 896: log.info("Detected %s tiles, interpreting as HiSeq4k run.", tc) machine = {"machine": "Illumina HiSeq 4000", "lane_count": 8} elif tc == 1408: log.info("Detected %s tiles, interpreting as Illumina NovaSeq 6000 run.", tc) machine = {"machine": "Illumina NovaSeq 6000", "lane_count": 2} elif tc == 3744: log.info("Detected %s tiles, interpreting as Illumina NovaSeq 6000 run.", tc) machine = {"machine": "Illumina NovaSeq 6000", "lane_count": 4} elif tc == 6272: log.info("Detected %s tiles, interpreting as Illumina NovaSeq X Plus run.", tc) machine = {"machine": "Illumina NovaSeq X Plus", "lane_count": 8} else: log.info("Tile count: %s tiles (unknown instrument type).", tc) return machine def get_flowcell_chemistry(self): guessed_sequencer = self.infer_sequencer_model() return guessed_sequencer["chemistry"] def get_flowcell_lane_count(self): guessed_sequencer = self.infer_sequencer_model() try: return self.get_lane_count() except Exception: return guessed_sequencer.get("lane_count", None) def get_machine_model(self): guessed_sequencer = self.infer_sequencer_model() return guessed_sequencer["machine"] @classmethod def get_machines_for_flowcell_id(cls, fcid): sequencer_by_fcid = [] for key in cls.flowcell_to_machine_model_and_chemistry: if re.search(key, fcid): sequencer_by_fcid.append( cls.flowcell_to_machine_model_and_chemistry[key] ) return sequencer_by_fcid def infer_sequencer_model(self): fcid = self.get_flowcell_raw() sequencer_by_tile_count = self.machine_model_from_tile_count() sequencers_by_fcid = self.get_machines_for_flowcell_id(fcid) if len(sequencers_by_fcid) > 1: raise LookupError("Multiple sequencers possible: %s", fcid) log.debug("self.tile_count(): %s", self.tile_count()) if len(sequencers_by_fcid) > 0: if ( sequencer_by_tile_count is not None and sequencers_by_fcid[0]["machine"] != sequencer_by_tile_count["machine"] ): log.warning( "Sequencer type inferred from flowcell ID: %s does not match sequencer inferred from tile count: %s; is this a new machine type?" % ( sequencers_by_fcid[0]["machine"], sequencer_by_tile_count["machine"], ) ) return sequencers_by_fcid[0] elif sequencer_by_tile_count is not None: log.warning( "Sequencer type unknown flowcell ID: %s, yet sequencer type was inferred for tile count: %s; is this a new flowcell ID pattern?" % (fcid, self.tile_count()) ) return sequencer_by_tile_count else: log.warning( "Tile count: %s and flowcell ID: %s are both novel; is this a new machine type?" % (self.tile_count(), fcid) ) return {"machine": "UNKNOWN", "lane_count": self.get_lane_count()} flowcell_to_machine_model_and_chemistry = { r"[A-Z,0-9]{5}AAXX": { "machine" : "Illumina Genome Analyzer IIx", "chemistry" : "All", "lane_count" : 8, "note" : "", }, r"[A-Z,0-9]{5}ABXX": { "machine" : "Illumina HiSeq 2000", "chemistry" : "V2 Chemistry", "lane_count" : 8, "note" : "", }, r"[A-Z,0-9]{5}ACXX": { "machine" : "Illumina HiSeq 2000", "chemistry" : "V3 Chemistry", "lane_count" : 8, "note" : "Also used on transient 2000E", }, r"[A-Z,0-9]{5}(?:ANXX|AN\w\w)": { "machine" : "Illumina HiSeq 2500", "chemistry" : "V4 Chemistry", "lane_count" : 8, "note" : "High output", }, r"[A-Z,0-9]{5}(?:ADXX|AD\w\w)": { "machine" : "Illumina HiSeq 2500", "chemistry" : "V1 Chemistry", "lane_count" : 2, "note" : "Rapid run", }, r"[A-Z,0-9]{5}AMXX": { "machine" : "Illumina HiSeq 2500", "chemistry" : "V2 Chemistry (beta)", "lane_count" : 2, "note" : "Rapid run", }, r"[A-Z,0-9]{5}(?:BCXX|BC\w\w)": { "machine" : "Illumina HiSeq 2500", "chemistry" : "V2 Chemistry", "lane_count" : 2, "note" : "Rapid run", }, r"[A-Z,0-9]{5}AFX\w": { "machine" : "NextSeq 550", "chemistry" : "Mid-Output NextSeq", "lane_count" : 4, "note" : "", }, r"[A-Z,0-9]{5}AGXX": { "machine" : "NextSeq 550", "chemistry" : "V1 Chemistry", "lane_count" : 4, "note" : "High-output", }, r"[A-Z,0-9]{5}(?:BGXX|BG\w\w)": { "machine" : "NextSeq 550", "chemistry" : "V2/V2.5 Chemistry", "lane_count" : 4, "note" : "High-output", }, r"[A-Z,0-9]{5}(?:BBXX|BB\w\w)": { "machine" : "Illumina HiSeq 4000", "chemistry" : "Illumina HiSeq 4000", "lane_count" : 8, "note" : "", }, r"[A-Z,0-9]{5}(?:ALXX:AL\w\w)": { "machine" : "HiSeq X Ten", "chemistry" : "V1/V2.5 Chemistry", "lane_count" : 8, "note" : "", }, r"[A-Z,0-9]{5}(?:CCXX:CC\w\w)": { "machine" : "HiSeq X Ten", "chemistry" : "V2/V2.5 Chemistry", "lane_count" : 8, "note" : "", }, r"[A-Z,0-9]{5}DR\w\w": { "machine" : "Illumina NovaSeq 6000", "chemistry" : "V1 Chemistry", "lane_count" : 2, "note" : "S1/SP", }, r"[A-Z,0-9]{5}DM\w\w": { "machine" : "Illumina NovaSeq 6000", "chemistry" : "V1 Chemistry", "lane_count" : 2, "note" : "S2", }, r"[A-Z,0-9]{5}DS\w\w": { "machine" : "Illumina NovaSeq 6000", "chemistry" : "V1 Chemistry", "lane_count" : 4, "note" : "S4", }, r"BNS417.*": { "machine" : "Illumina iSeq 100", "chemistry" : "V1", "lane_count" : 1, "note" : "AKA Firefly", }, r"[0-9]{9}-\w{5}": { "machine" : "Illumina MiSeq", "chemistry" : "V1/V2/V3 Chemistry", "lane_count" : 1, "note" : "", }, } # ====================== # *** SampleSheet *** # ====================== class SampleSheetError(Exception): def __init__(self, message, fname): super(SampleSheetError, self).__init__( "Failed to load {} ({})".format(fname, message) ) class SampleSheet(object): """A class that reads an Illumina SampleSheet.csv or alternative/simplified tab-delimited versions as well. """ def __init__( self, infile, use_sample_name = True, only_lane = None, allow_non_unique = False, append_run_id = None, collapse_duplicates = False, rev_comp_barcode_2 = False, barcode_columns_to_revcomp = None ): self.fname = infile self.use_sample_name = use_sample_name if only_lane is not None: only_lane = str(only_lane) self.only_lane = only_lane self.allow_non_unique = allow_non_unique self.append_run_id = append_run_id self.rows = [] self._rowsOriginal = [] self.duplicate_rows_collapsed = False self.barcodes_revcomped_relative_to_input = False self.barcodes_revcomped_column_names = set() self._detect_and_load_sheet(infile) barcode_columns_to_revcomp = barcode_columns_to_revcomp or [] if rev_comp_barcode_2 or (barcode_columns_to_revcomp and isinstance(barcode_columns_to_revcomp, (list, tuple, set, str))): columns_to_revcomp = ['barcode_2'] if rev_comp_barcode_2 else [] columns_to_revcomp += barcode_columns_to_revcomp self.rev_comp_barcode_values(barcode_columns_to_revcomp=columns_to_revcomp, inplace=True) if self.can_be_collapsed: if not allow_non_unique: raise SampleSheetError("Duplicate indices found in sample sheet", infile) else: if collapse_duplicates: self.collapse_sample_index_duplicates() def _detect_and_load_sheet(self, infile): if infile.endswith((".csv", ".csv.gz")): with util_file.open_or_gzopen(infile, "rU") as inf: header = None miseq_skip = False row_num = 0 for line_no, line in enumerate(inf): if line_no == 0: line = line.replace("\ufeff", "") if len(line.rstrip("\r\n").strip()) == 0: continue csv.register_dialect( "samplesheet", quoting=csv.QUOTE_MINIMAL, escapechar="\\" ) row = next( csv.reader([line.strip().rstrip("\n")], dialect="samplesheet") ) row = [item.strip() for item in row] if miseq_skip: if line.startswith("[Data]"): miseq_skip = False elif line.startswith("["): miseq_skip = True elif header is None: header = row if all(x in header for x in ["Sample_ID", "Index"]): keymapper = { "Sample_ID" : "sample", "Index" : "barcode_1", "Index2" : "barcode_2", "Sample_Name" : "sample_name", } header = list(map(keymapper.get, header)) elif "Sample_ID" in header: keymapper = { "Sample_ID" : "sample", "index" : "barcode_1", "index2" : "barcode_2", "Sample_Name" : "sample_name", } header = list(map(keymapper.get, header)) elif "SampleID" in header: keymapper = { "SampleID" : "sample", "Index" : "barcode_1", "Index2" : "barcode_2", "libraryName" : "library_id_per_sample", "FCID" : "flowcell", "Lane" : "lane", } header = list(map(keymapper.get, header)) elif len(row) == 3: header = ["sample", "barcode_1", "barcode_2"] if "sample" not in row[0].lower(): row_num += 1 self.rows.append({ "sample" : row[0], "barcode_1" : row[1], "barcode_2" : row[2], "row_num" : str(row_num), }) else: raise SampleSheetError("unrecognized filetype", infile) for h in ("sample", "barcode_1"): assert h in header else: row_num += 1 while len(row) < len(header): row.append("") assert len(header) == len(row) row = dict((k, v) for k, v in zip(header, row) if k and v) row["row_num"] = str(row_num) if ( self.only_lane is not None and row.get("lane") and self.only_lane != row["lane"] ): continue if ("sample" in row and row["sample"]) and ( "barcode_1" in row and row["barcode_1"] ): self.rows.append(row) if ( self.use_sample_name and "sample_name" in header and all(row.get("sample_name") for row in self.rows) ): for row in self.rows: row["library_id_per_sample"] = row["sample"] row["sample"] = row["sample_name"] for row in self.rows: if "sample_name" in row: del row["sample_name"] elif infile.endswith((".txt", ".txt.gz", ".tsv")): self.rows = [] row_num = 0 for row in util_file.read_tabfile_dict(infile): assert row.get("sample") and row.get("barcode_1") row_num += 1 row["row_num"] = str(row_num) self.rows.append(row) else: raise SampleSheetError("unrecognized filetype", infile) if not self.rows: raise SampleSheetError("empty file", infile) for row in self.rows: row["library"] = row["sample"] if row.get("library_id_per_sample"): row["library"] += ".l" + row["library_id_per_sample"] row["run"] = row["library"] if len(set(row["run"] for row in self.rows)) != len(self.rows): if self.allow_non_unique: log.warning("non-unique library IDs in this lane") unique_count = {} for row in self.rows: unique_count.setdefault(row["library"], 0) unique_count[row["library"]] += 1 row["run"] += ".r" + str(unique_count[row["library"]]) else: raise SampleSheetError("non-unique library IDs in this lane", infile) if self.append_run_id: for row in self.rows: row["run"] += "." + self.append_run_id for row in self.rows: row["sample_original"] = row["sample"] row["sample"] = util_file.string_to_file_name(row["sample"]) row["library"] = util_file.string_to_file_name(row["library"]) row["run"] = util_file.string_to_file_name(row["run"]) if all(row.get("barcode_2") for row in self.rows): self.indexes = 2 elif any(row.get("barcode_2") for row in self.rows): raise SampleSheetError( "inconsistent single/double barcoding in sample sheet", infile ) else: self.indexes = 1 @property def can_be_collapsed(self) -> bool: """Return True if duplicate barcodes exist that could be collapsed.""" assert len(self.rows) > 0, "No sample sheet rows to collapse" df = pd.json_normalize(self.rows).astype(str).fillna("") grouping_cols = ["barcode_1"] if "barcode_2" in df.columns: grouping_cols.append("barcode_2") duplicated_mask = df.duplicated(subset=grouping_cols, keep=False) return duplicated_mask.any() def collapse_sample_index_duplicates(self, output_tsv=None, overwrite_instance_data=True): """Collapse duplicate barcode rows into single entries.""" assert len(self.rows) > 0, "No sample sheet rows to collapse" hash_if_longer_than = 32 df = pd.json_normalize(self.rows).astype(str).fillna("") original_cols = df.columns.tolist() grouping_cols = ["barcode_1"] has_barcode2 = "barcode_2" in df.columns if has_barcode2: grouping_cols.append("barcode_2") duplicated_mask = df.duplicated(subset=grouping_cols, keep=False) df_unique = df[~duplicated_mask].copy() df_duplicates = df[duplicated_mask].copy() grouped_dups = df_duplicates.groupby(grouping_cols, sort=False) collapsed_rows = [] for group_keys, group_df in grouped_dups: if not isinstance(group_keys, tuple): group_keys = (group_keys,) b1 = group_keys[0] b2 = group_keys[1] if has_barcode2 else None if len(group_df) == 1: collapsed_rows.append(group_df.iloc[0]) else: row_dict = {} if "barcode_1" in df.columns: row_dict["barcode_1"] = b1 if has_barcode2: row_dict["barcode_2"] = b2 if not has_barcode2: row_dict["sample"] = f"{b1}" else: if b2 and b2.strip() != "": row_dict["sample"] = f"{b1}-{b2}" else: row_dict["sample"] = f"{b1}" for col in original_cols: if col in ("barcode_1", "barcode_2", "sample"): continue col_values = group_df[col].tolist() row_dict[col] = util_misc.collapse_dup_strs_to_str_or_md5( col_values, suffix="_muxed", hash_if_longer_than=hash_if_longer_than ) row_dict["run"] = f"{row_dict['sample']}.l{row_dict['library_id_per_sample']}" if self.append_run_id: row_dict["run"] += "." + self.append_run_id collapsed_rows.append(pd.Series(row_dict)) df_collapsed = pd.DataFrame(collapsed_rows, dtype=str) if collapsed_rows else pd.DataFrame(columns=original_cols, dtype=str) out_df = pd.concat([df_collapsed, df_unique], ignore_index=True) out_df = out_df[original_cols] rows_collapsed = out_df.to_dict(orient="records") if len(rows_collapsed) < len(self.rows): log.info("%s: %i rows collapsed ----> %i rows", os.path.basename(self.fname), len(self.rows), len(rows_collapsed)) self.duplicate_rows_collapsed = True else: log.info("%s: ZERO rows collapsed", os.path.basename(self.fname)) excluded_tsv_output_columns = ('row_num', 'library', 'run', 'sample_original') filtered_cols = [col for col in original_cols if col not in excluded_tsv_output_columns] if output_tsv is not None: log.info("Saving collapsed sample sheet to: %s", os.path.realpath(output_tsv)) out_df[filtered_cols].to_csv(output_tsv, sep="\t", index=False) if overwrite_instance_data: self._rowsOriginal = self.rows self.rows = rows_collapsed return rows_collapsed def inner_demux_mapper(self): """Build a DataFrame mapping barcode groups to barcode_3 values.""" df = pd.json_normalize(self.rows).astype(str) has_barcode2 = ("barcode_2" in df.columns) columns = df.columns grouping_cols = ["barcode_1"] if has_barcode2: grouping_cols.append("barcode_2") def fill_inline_index_ids(group): if "Inline_Index_ID" not in group.columns: group["Inline_Index_ID"] = [str(i + 1) for i in range(len(group))] else: mask = (group["Inline_Index_ID"].isna()) | (group["Inline_Index_ID"] == "") next_ids = (str(i + 1) for i in range(len(group))) group.loc[mask, "Inline_Index_ID"] = [next(next_ids) for _ in range(sum(mask))] return group df = df.groupby(grouping_cols, group_keys=False, as_index=False) df = df[columns].apply(fill_inline_index_ids, include_groups=False) def build_run_string(row): sample_val = row.get("sample", "") lib_val = row.get("library_id_per_sample", "") run_str = f"{sample_val}.l{lib_val}" if self.append_run_id: run_str += f".{self.append_run_id}" return run_str df["run"] = df.apply(build_run_string, axis=1) def build_muxed_run_string(row): b1 = row.get("barcode_1", "") b2 = row.get("barcode_2", "") if has_barcode2 else None if b2 and b2.strip(): muxed_sample = f"{b1}-{b2}" else: muxed_sample = b1 lib_val = row.get("library_id_per_sample", "") muxed_run_str = f"{muxed_sample}.l{lib_val}" if self.append_run_id: muxed_run_str += f".{self.append_run_id}" return muxed_run_str df["muxed_run"] = df.apply(build_muxed_run_string, axis=1) out_cols = ["barcode_1"] if has_barcode2: out_cols.append("barcode_2") out_cols.extend(["barcode_3", "sample", "library_id_per_sample", "Inline_Index_ID", "run", "muxed_run"]) existing_cols = [c for c in out_cols if c in df.columns] out_df = df[existing_cols].copy() out_df.set_index("sample", inplace=True) return out_df def make_barcodes_file(self, outFile): """Create input file for Picard ExtractBarcodes""" if self.num_indexes() == 2: header = ["barcode_name", "library_name", "barcode_sequence_1", "barcode_sequence_2"] else: header = ["barcode_name", "library_name", "barcode_sequence_1"] with open(outFile, "wt") as outf: outf.write("\t".join(header) + "\n") for row in self.rows: out = { "barcode_sequence_1": row["barcode_1"], "barcode_sequence_2": row.get("barcode_2", ""), "barcode_name": row["sample"], "library_name": row["library"], } outf.write("\t".join(out[h] for h in header) + "\n") def write_tsv(self, outFile, force=False): """Write sample sheet to a tab-delimited file.""" if os.path.exists(outFile) and not force: raise FileExistsError(f"Output file {outFile} already exists. Use force=True to overwrite.") with open(outFile, "wt") as outf: writer = csv.DictWriter(outf, self.rows[0].keys(), delimiter="\t") writer.writeheader() for row in self.rows: writer.writerow(row) def rev_comp_barcode_values(self, barcode_columns_to_revcomp=None, inplace=True): """Reverse-complement barcode values in specified columns.""" barcode_columns_to_revcomp = barcode_columns_to_revcomp or ["barcode_2"] if type(barcode_columns_to_revcomp) is str: barcode_columns_to_revcomp = [barcode_columns_to_revcomp] if inplace: self._rowsOriginal = self.rows.copy() for row_idx, row in enumerate(self.rows): for column_name in barcode_columns_to_revcomp: if column_name in row: try: row[column_name] = util_misc.reverse_complement(row[column_name]) except Exception: log.warning("Failed to reverse-complement barcode value on line %s of %s: '%s'", row_idx + 1, self.fname, row[column_name]) pass self.barcodes_revcomped_relative_to_input = True self.barcodes_revcomped_column_names.add(column_name) return self else: new_sheet_fp = util_file.mkstempfname(f'{os.path.basename(self.fname)}_rev-comped-{"-".join(barcode_columns_to_revcomp)}.txt') log.debug("Creating a new SampleSheet object with reverse-complemented barcodes: %s", new_sheet_fp) shutil.copyfile(self.fname, new_sheet_fp) new_ss = SampleSheet( new_sheet_fp, barcode_columns_to_revcomp=barcode_columns_to_revcomp, allow_non_unique=self.allow_non_unique ) return new_ss def make_params_file(self, bamDir, outFile): """Create input file for Picard IlluminaBasecallsToXXX""" if self.num_indexes() == 2: header = ["OUTPUT", "SAMPLE_ALIAS", "LIBRARY_NAME", "BARCODE_1", "BARCODE_2"] else: header = ["OUTPUT", "SAMPLE_ALIAS", "LIBRARY_NAME", "BARCODE_1"] with open(outFile, "wt") as outf: outf.write("\t".join(header) + "\n") rows = self.rows + [{ "barcode_1": "N", "barcode_2": "N", "sample": "Unmatched", "library": "Unmatched", "run": "Unmatched", }] for row in rows: out = { "BARCODE_1": row["barcode_1"], "BARCODE_2": row.get("barcode_2", ""), "SAMPLE_ALIAS": row["sample"], "LIBRARY_NAME": row["library"], } out["OUTPUT"] = os.path.join(bamDir, row["run"] + ".bam") outf.write("\t".join(out[h] for h in header) + "\n") def get_fname(self): return self.fname def get_rows(self): return self.rows def print_rows(self, row_indices=None): """Print rows, optionally only a subset.""" rows_selected = [self.rows[i] for i in row_indices] if row_indices else self.rows for r in rows_selected: longest_key_len = len(max(r.keys(), key=len)) print(f"Sample: {r['sample']}") for k, v in r.items(): if k != 'sample': print(f"\t{k:<{longest_key_len + 1}}: {v}") print("") def num_indexes(self): """Return 1 or 2 depending on whether pools are single or double indexed.""" return self.indexes @property def num_samples(self): return len(self.rows) def fetch_by_index(self, idx): idx = str(idx) for row in self.rows: if idx == row["row_num"]: return row return None ================================================ FILE: src/viral_ngs/core/minimap2.py ================================================ ''' The minimap2 aligner. ''' import collections import logging import os import os.path import shutil import subprocess from Bio import SeqIO from . import samtools from . import picard from . import file as util_file, misc as util_misc # was: from viral_ngs import util from .errors import * from . import Tool, PrexistingUnixCommand TOOL_NAME = 'minimap2' log = logging.getLogger(__name__) class Minimap2(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [] install_methods.append(PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)) super(Minimap2, self).__init__(install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([TOOL_NAME ,'--version']).decode('UTF-8').strip() def execute(self, args, stdout=None, stdin=None, background=False): # pylint: disable=W0221 tool_cmd = [self.install_and_get_path()] + args log.debug(' '.join(tool_cmd)) if stdout: stdout = open(stdout, 'w') if background: subprocess.Popen(tool_cmd, stdout=stdout, stdin=stdin) else: subprocess.check_call(tool_cmd, stdout=stdout, stdin=stdin) if stdout: stdout.close() def align_bam(self, inBam, refDb, outBam, options=None, threads=None, JVMmemory=None, should_index=True): options = options or [] samtools_tool = samtools.SamtoolsTool() threads = util_misc.sanitize_thread_count(threads) # fetch list of RGs rgs = list(samtools_tool.getReadGroups(inBam).keys()) if len(rgs) == 0: # Can't do this raise InvalidBamHeaderError("{} lacks read groups".format(inBam)) elif len(rgs) == 1: # Only one RG, keep it simple self.align_one_rg(inBam, refDb, outBam, options=options, threads=threads, should_index=should_index) else: # Multiple RGs, align one at a time and merge align_bams = [] for rg in rgs: tmp_bam = util_file.mkstempfname('.{}.bam'.format(rg)) self.align_one_rg( inBam, refDb, tmp_bam, rgid=rg, options=options, threads=threads, should_index=False # Don't index intermediate BAMs that will be merged ) if not samtools_tool.isEmpty(tmp_bam): align_bams.append(tmp_bam) else: log.warning("No alignment output for RG %s in file %s against %s", rg, inBam, refDb) if len(align_bams)==0: log.warning("All read groups in file %s appear to be empty.", inBam) with util_file.tempfname('.empty.sam') as empty_sam: samtools_tool.dumpHeader(inBam, empty_sam) samtools_tool.sort(empty_sam, outBam) else: # Merge BAMs, sort, and index picardOptions = ['SORT_ORDER=coordinate', 'USE_THREADING=true', 'CREATE_INDEX=true'] picard.MergeSamFilesTool().execute( align_bams, outBam, picardOptions=picardOptions, JVMmemory=JVMmemory ) for bam in align_bams: os.unlink(bam) def align_one_rg(self, inBam, refDb, outBam, rgid=None, preset=None, options=None, threads=None, JVMmemory=None, should_index=True): """ Performs an alignment of one read group in a bam file to a reference fasta file using minimap2. Emits alignments in sorted, index bam files. inBam may contain more read groups, but we will subset input to the specified rgid. preset may be specified as a valid value for "minimap2 -x" which depends on the type of data (short accurate reads vs long noisy reads). If preset is set to None, we will autodetect based on the PL (platform) tag in the read group header (e.g. illumina, ont, pacbio) """ options = list(options).copy() or [] samtools_tool = samtools.SamtoolsTool() # Require exactly one RG rgs = samtools_tool.getReadGroups(inBam) if len(rgs) == 0: raise InvalidBamHeaderError("{} lacks read groups".format(inBam)) elif len(rgs) == 1: if not rgid: rgid = list(rgs.keys())[0] elif not rgid: raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs))) if rgid not in rgs: raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid)) headerFile = util_file.mkstempfname('.{}.header.txt'.format(rgid)) # Strip inBam to just one RG (if necessary) removeInput = False if len(rgs) == 1: one_rg_inBam = inBam samtools_tool.dumpHeader(one_rg_inBam, headerFile) else: # strip inBam to one read group with util_file.tempfname('.onebam.bam') as tmp_bam: samtools_tool.view(['-1', '-r', rgid], inBam, tmp_bam) # special exit if this file is empty if samtools_tool.isEmpty(tmp_bam): log.warning("No reads present for RG %s in file: %s", rgid, inBam) shutil.copyfile(tmp_bam, outBam) return # simplify BAM header otherwise Novoalign gets confused one_rg_inBam = util_file.mkstempfname('.{}.in.bam'.format(rgid)) removeInput = True with open(headerFile, 'wt') as outf: for row in samtools_tool.getHeader(inBam): if len(row) > 0 and row[0] == '@RG': if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]: # skip all read groups that are not rgid continue outf.write('\t'.join(row) + '\n') samtools_tool.reheader(tmp_bam, headerFile, one_rg_inBam) # get the read group line to give to mm2 readgroup_line = "" with open(headerFile) as inf: for line in inf: if line.startswith("@RG"): readgroup_line = line.rstrip("\r\n") if not readgroup_line: raise Exception() # rather than reheader the alignment bam file later so it has the readgroup information # from the original bam file, we'll pass the RG line to minimap2 to write out options.extend(('-R', readgroup_line.replace('\t','\\t'))) # dynamically determine the mode of operation if '-x' not in options: if preset is None: platform = list(x for x in readgroup_line.split('\t') if x.startswith('PL:')) if len(platform) != 1: raise Exception("cannot autodetect minimap2 aligner mode when PL: tag is not set in the read group header for {}: {}".format(inBam, readgroup_line)) else: platform = platform[0][3:].lower() if platform == 'illumina': preset = 'sr' elif platform == 'ont': preset = 'map-ont' elif platform == 'pacbio': preset = 'map-pb' else: raise Exception("PL: tag {} for read group {} in bam {} refers to a data type we do not know how to map with minimap2".format(platform, rgid, inBam)) options.extend(('-x', preset)) # perform actual alignment if samtools_tool.isEmpty(one_rg_inBam): log.warning("Input file %s appears to lack reads for RG '%s'", inBam, rgid) # minimap doesn't like empty inputs, so copy empty bam through # samtools.sort(one_rg_inBam, outBam) self.align_cmd(one_rg_inBam, refDb, outBam, options=options, threads=threads, should_index=should_index) else: self.align_cmd(one_rg_inBam, refDb, outBam, options=options, threads=threads, should_index=should_index) # if there was more than one RG in the input, we had to create a temporary file with the one RG specified # and we can safely delete it this file # if there was only one RG in the input, we used it directly and should not delete it if removeInput: os.unlink(one_rg_inBam) def align_cmd(self, inReads, refDb, outAlign, options=None, threads=None, should_index=True): options = [] if not options else options threads = util_misc.sanitize_thread_count(threads) if '-t' not in options: options.extend(('-t', str(threads))) if '-2' not in options: options.append('-2') samtools_tool = samtools.SamtoolsTool() with util_file.tempfname('.aligned.sam') as aln_sam: fastq_pipe = samtools_tool.bam2fq_pipe(inReads) options.extend(('-a', refDb, '-', '-o', aln_sam)) self.execute(options, stdin=fastq_pipe.stdout) if fastq_pipe.wait(): raise subprocess.CalledProcessError(fastq_pipe.returncode, "samtools.bam2fq_pipe() for {}".format(inReads)) samtools_tool.sort(aln_sam, outAlign, threads=threads) # cannot index sam files; only do so if a bam/cram is desired if should_index and (outAlign.endswith(".bam") or outAlign.endswith(".cram")): samtools_tool.index(outAlign, threads=threads) def scaffold(self, contigs_fasta, ref_fasta, outAlign, divergence=20, options=None, threads=None): options = [] if not options else options samtools_tool = samtools.SamtoolsTool() threads = util_misc.sanitize_thread_count(threads) if '-t' not in options: options.extend(('-t', str(threads))) if '-2' not in options: options.append('-2') if divergence >= 20: options.extend(('-x', 'asm20')) elif divergence >= 10: options.extend(('-x', 'asm10')) else: options.extend(('-x', 'asm5')) with util_file.tempfname('.aligned.sam') as aln_sam: options.extend(('-a', ref_fasta, contigs_fasta, '-o', aln_sam)) self.execute(options) samtools_tool.sort(aln_sam, outAlign, threads=threads) # cannot index sam files; only do so if a bam/cram is desired if (outAlign.endswith(".bam") or outAlign.endswith(".cram")): samtools_tool.index(outAlign) def idxstats(self, inReads, refDb, outIdxstats, outReadlist=None, threads=None): """ Align reads and produce idxstats-like counts and optional read list. This method is optimized for counting reads per reference by: - Using PAF output (no -a flag) for faster alignment - Streaming and parsing PAF directly without intermediate files - Only counting primary alignments - For paired-end reads: requiring both R1 and R2 to have primary alignments (properly paired behavior) - For single-end reads: counting any primary alignment Args: inReads: Input reads (BAM format) refDb: Reference database (FASTA format) outIdxstats: Output file in samtools idxstats format (tab-separated: seq_name, seq_length, mapped_count, unmapped_count) Note: unmapped_count will always be 0 in this implementation outReadlist: Optional output file listing all read IDs that mapped as primary alignments. If None, this output is skipped. threads: Number of threads for minimap2 (default: auto-detect) """ log.info("Starting idxstats: aligning %s to %s", inReads, refDb) threads = util_misc.sanitize_thread_count(threads) samtools_tool = samtools.SamtoolsTool() # Parse reference FASTA for sequence lengths ref_lengths = collections.OrderedDict() for record in SeqIO.parse(refDb, 'fasta'): ref_lengths[record.id] = len(record.seq) # Handle empty reference case if not ref_lengths: log.warning("Reference FASTA %s contains no sequences", refDb) with util_file.open_or_gzopen(outIdxstats, 'wt') as outf: pass # write empty file if outReadlist: with util_file.open_or_gzopen(outReadlist, 'wt') as outf: pass # write empty file return # Initialize counter for reads per reference reads_per_ref = collections.Counter() # Build minimap2 command for PAF output (no -a flag) options = ['-t', str(threads), '-2', '-x', 'sr', refDb, '-'] # Open readlist file for streaming if requested readlist_file = util_file.open_or_gzopen(outReadlist, 'wt') if outReadlist else None try: # Start samtools bam2fq pipe for input (use 4 threads for BAM decompression) fastq_pipe = samtools_tool.bam2fq_pipe(inReads, threads=4) # Start minimap2 process with PAF output to stdout tool_cmd = [self.install_and_get_path()] + options log.debug(' '.join(tool_cmd)) mm2_proc = subprocess.Popen( tool_cmd, stdin=fastq_pipe.stdout, stdout=subprocess.PIPE, text=True ) # Parse PAF output line by line # For paired-end reads: require both R1 and R2 to have primary alignments # (properly paired behavior). For single-end reads: count any primary alignment. # Track recent read names to deduplicate readlist output. recent_reads = collections.deque(maxlen=4) pending_alignment = None # Tuple: (base_read_id, target_name, is_r1) for paired-end lines_processed = 0 paired_count = 0 single_count = 0 for line in mm2_proc.stdout: lines_processed += 1 if lines_processed % 100000 == 0: log.info("Processed %d PAF lines, %d paired + %d single reads so far", lines_processed, paired_count, single_count) fields = line.rstrip('\n').split('\t') if len(fields) < 12: continue read_id = fields[0] target_name = fields[5] # Check for primary alignment tag (tp:A:P) is_primary = False for field in fields[12:]: if field == 'tp:A:P': is_primary = True break if not is_primary: continue # Detect if paired-end by checking for /1 or /2 suffix # bam2fq -n adds these suffixes for paired-end reads if read_id.endswith('/1'): is_paired = True is_r1 = True base_read_id = read_id[:-2] elif read_id.endswith('/2'): is_paired = True is_r1 = False base_read_id = read_id[:-2] else: is_paired = False base_read_id = read_id if not is_paired: # SINGLE-END: count immediately single_count += 1 reads_per_ref[target_name] += 1 if readlist_file and base_read_id not in recent_reads: recent_reads.append(base_read_id) readlist_file.write(base_read_id + '\n') else: # PAIRED-END: require both R1 and R2 to have primary alignments if pending_alignment is None: # First of pair: store it pending_alignment = (base_read_id, target_name, is_r1) else: pending_base, pending_target, pending_is_r1 = pending_alignment if base_read_id == pending_base and is_r1 != pending_is_r1: # Mate found! Both R1 and R2 aligned - count BOTH paired_count += 2 reads_per_ref[pending_target] += 1 reads_per_ref[target_name] += 1 if readlist_file and base_read_id not in recent_reads: recent_reads.append(base_read_id) readlist_file.write(base_read_id + '\n') pending_alignment = None else: # Not a matching mate - discard pending (singleton), store current pending_alignment = (base_read_id, target_name, is_r1) # Wait for processes to complete mm2_proc.wait() if fastq_pipe.wait(): raise subprocess.CalledProcessError( fastq_pipe.returncode, "samtools.bam2fq_pipe() for {}".format(inReads) ) finally: if readlist_file: readlist_file.close() # Write idxstats output with util_file.open_or_gzopen(outIdxstats, 'wt') as outf: for ref_name, ref_len in ref_lengths.items(): mapped_count = reads_per_ref.get(ref_name, 0) outf.write('{}\t{}\t{}\t0\n'.format(ref_name, ref_len, mapped_count)) log.info("Completed idxstats: %d paired + %d single-end reads counted from %d PAF lines", paired_count, single_count, lines_processed) ================================================ FILE: src/viral_ngs/core/misc.py ================================================ '''A few miscellaneous tools. ''' import array import bisect import collections import collections.abc import contextlib import copy import functools import hashlib import itertools import json import logging import math import multiprocessing import operator import os, os.path import re import shutil import sqlite3 import subprocess import sys import threading import time import yaml import Bio.SeqIO import pysam from . import file as util_file # was: from viral_ngs import util log = logging.getLogger(__name__) __author__ = "dpark@broadinstitute.org" MAX_INT32 = (2 ** 31)-1 def unambig_count(seq): unambig = set(('A', 'T', 'C', 'G')) return sum(1 for s in seq if s.upper() in unambig) @contextlib.contextmanager def timer(prefix): start = time.time() yield finish = time.time() elapsed = '{:.2f}'.format(finish - start) print(prefix + ' - ' + elapsed, file=sys.stderr) def memoize(obj): cache = obj.cache = {} @functools.wraps(obj) def memoizer(*args, **kwargs): key = "".join([str(args),str(kwargs)]) if key not in cache: cache[key] = obj(*args, **kwargs) return cache[key] return memoizer def unique(items): ''' Return unique items in the same order as seen in the input. ''' seen = set() for i in items: if i not in seen: seen.add(i) yield i def collapse_dup_strs_to_str_or_md5(values, suffix = "", delimiter = "_", hash_if_longer_than = -1, sort_plural_vals = False, calculate_md5_including_suffix = False, append_suffix_to_delimited_str = True, append_suffix_to_one_unique_str = False, ): """ Collapse multiple string values into one string value Given a list of values (ex. from a column in a duplicated group of >=2 rows): 1) If all values are empty (""), return "". 2) Otherwise, if there's exactly 1 unique value (non-empty or empty), return that value + (suffix, optionally) 3) Otherwise (>=2 distinct values), join with delimiter. If (length with delimiters + suffix, if appending) > max_length, compute the MD5 hash of the joined values (without delimiters, optionally including the suffix), and only return the last 8 characters of that MD5 hash plus suffix. The default is to always return MD5+suffix (default max_length is -1) Note that the MD5 hash will *not* be affected by any empty strings present in the input (and when returning a delimited string of the joined values, such empty strings will be omitted). """ # If all values are empty, return "" if all(v == "" for v in values): return "" # Get the unique values, in the original order unique_vals = list(unique(values)) # Exactly 1 unique value => if len(unique_vals) == 1: return f"{unique_vals[0]}{suffix if append_suffix_to_one_unique_str else ''}" # Otherwise, return joined values # or if that would be too long, return (MD5 of joined values)[-8:]+(optional suffix) # the input values are optionally sorted after removing empty strings joined_values_delimited = f"{delimiter}".join(sorted([s for s in unique_vals if len(s)>0]) if sort_plural_vals else unique_vals) + (suffix if append_suffix_to_delimited_str else "") if len(joined_values_delimited) <= int(hash_if_longer_than): return joined_values_delimited else: # If the joined string is too long, compute MD5 of joined values #joined_values = f"".join(sorted(unique_vals)) + (suffix if calculate_md5_including_suffix else "") joined_values = f"".join(unique_vals) + (suffix if calculate_md5_including_suffix else "") # Use only the last 8 characters of the MD5 short_md5 = md5_digest(joined_values) return f"{short_md5}{suffix}" def md5_digest(in_str, last_n_chr=8): '''Return the last `last_n_chr` characters of the md5 digest of `str`.''' return hashlib.md5(in_str.encode('utf-8')).hexdigest()[-last_n_chr:] def reverse_complement(seq): """ Returns the reverse complement using string.maketrans """ table = bytearray.maketrans(b"ACTGN",b"TGACN") return bytearray(seq.encode("UTF8")).translate(table)[::-1].decode("UTF8") def histogram(items): ''' I count the number of times I see stuff and return a dict of counts. ''' out = {} for i in items: out.setdefault(i, 0) out[i] += 1 return out def freqs(items, zero_checks=None): ''' Given a list of comparable, non-unique items, produce an iterator of (item, count, freq) tuples. item is a unique instance of one of the items seen on input count is a positive integer describing the number of times this item was observed freq is count / sum(count) for all outputs. If zero_checks is specified, then the output iterator will emit tuples for the items in zero_checks even if they do not appear in the input. If they are not in the input, they will be emitted with a zero count and freq. See histogram(items) ''' zero_checks = zero_checks or set() tot = 0 out = {} for i in items: out.setdefault(i, 0) out[i] += 1 tot += 1 for k, v in out.items(): yield (k, v, float(v) / tot) for i in zero_checks: if i not in out: yield (i, 0, 0.0) def intervals(i, n, l): ''' Divide something of length l into n equally sized parts and return the start-stop values of the i'th part. Values are 1-based. Each part will be adjacent and non-overlapping with the next part. i must be a number from 1 to n. ''' assert 1 <= i <= n and l >= n part_size = l // n start = 1 + part_size * (i - 1) stop = part_size * i if i == n: stop = l return (start, stop) # from http://stackoverflow.com/a/312467 def pairwise(iterable): """ from itertools recipes s -> (s0,s1), (s1,s2), (s2, s3), ...""" a, b = itertools.tee(iterable) next(b, None) return zip(a, b) def batch_iterator(iterator, batch_size): """Returns lists of length batch_size. This can be used on any iterator, for example to batch up SeqRecord objects from Bio.SeqIO.parse(...), or to batch Alignment objects from Bio.AlignIO.parse(...), or simply lines from a file handle. This is a generator function, and it returns lists of the entries from the supplied iterator. Each list will have batch_size entries, although the final list may be shorter. """ it = iter(iterator) item = list(itertools.islice(it, batch_size)) while item: yield item item = list(itertools.islice(it, batch_size)) def list_contains(sublist, list_): """Tests whether sublist is contained in full list_.""" for i in range(len(list_)-len(sublist)+1): if sublist == list_[i:i+len(sublist)]: return True return False def run_and_print(args, stdout=None, stderr=subprocess.STDOUT, stdin=None, shell=False, env=None, cwd=None, timeout=None, silent=False, buffered=False, check=False, loglevel=None): '''Capture stdout+stderr and print. This is useful for nose, which has difficulty capturing stdout of subprocess invocations. ''' if not buffered: if check and not silent: try: result = subprocess.run( args, stdin=stdin, stdout=subprocess.PIPE, stderr=stderr, env=env, cwd=cwd, timeout=timeout, check=check ) print(result.stdout.decode('utf-8')) try: print(result.stderr.decode('utf-8')) except AttributeError: pass except subprocess.CalledProcessError as e: if loglevel: try: log.log(loglevel, result.stdout.decode('utf-8')) except NameError: # in some situations, result does not get assigned anything pass except AttributeError: log.log(loglevel, result.output.decode('utf-8')) else: print(e.output.decode('utf-8')) try: print(e.stderr.decode('utf-8')) except AttributeError: pass sys.stdout.flush() raise(e) else: result = subprocess.run(args, stdin=stdin, stdout=subprocess.PIPE, stderr=stderr, env=env, cwd=cwd, timeout=timeout, check=check) if not silent and not loglevel: print(result.stdout.decode('utf-8')) sys.stdout.flush() elif loglevel: log.log(loglevel, result.stdout.decode('utf-8')) else: CompletedProcess = collections.namedtuple( 'CompletedProcess', ['args', 'returncode', 'stdout', 'stderr']) process = subprocess.Popen(args, stdin=stdin, stdout=subprocess.PIPE, stderr=stderr, env=env, cwd=cwd) output = [] while process.poll() is None: for c in iter(process.stdout.read, b""): output.append(c) if not silent: print(c.decode('utf-8'), end="") # print for py3 / p2 from __future__ sys.stdout.flush() # flush buffer to stdout # in case there are still chars in the pipe buffer for c in iter(lambda: process.stdout.read(1), b""): if not silent: print(c, end="") sys.stdout.flush() # flush buffer to stdout if check and process.returncode != 0: raise subprocess.CalledProcessError(process.returncode, args, b''.join(output)) result = CompletedProcess( args, process.returncode, b''.join(output), b'') return result def run_and_save(args, stdout=None, stdin=None, outf=None, stderr=None, preexec_fn=None, close_fds=False, shell=False, cwd=None, env=None, check=True): assert outf is not None sp = subprocess.Popen(args, stdin=stdin, stdout=outf, stderr=subprocess.PIPE, preexec_fn=preexec_fn, close_fds=close_fds, shell=shell, cwd=cwd, env=env) out, err = sp.communicate() # redirect stderror to stdout so it can be captured by nose if err: sys.stdout.write(err.decode("UTF-8")) if sp.returncode != 0 and check: raise subprocess.CalledProcessError(sp.returncode, str(args[0])) return sp class FeatureSorter(object): ''' This class helps sort genomic features. It's not terribly optimized for speed or anything. Slightly inspired by calhoun's MultiSequenceRangeMap. ''' def __init__(self, collection=None): self.seqids = [] self.seq_to_features = {} self.seq_to_breakpoints = {} self.dirty = False if collection is not None: for args in collection: self.add(*args) def add(self, c, start, stop, strand='+', other=None): ''' Add a "feature", which is a chrom,start,stop,strand tuple (with optional other info attached) ''' if c not in self.seq_to_features: self.seqids.append(c) self.seq_to_features[c] = [] self.seq_to_breakpoints[c] = set() #self.seq_to_breakpoints[c].add(1) # do we want the empty interval in front? self.seq_to_features[c].append((int(start), int(stop), strand, other)) self.seq_to_breakpoints[c].add(start) self.seq_to_breakpoints[c].add(stop+1) self.dirty = True def _cleanup(self): if self.dirty: self.dirty = False for c in self.seqids: self.seq_to_features[c].sort() def get_seqids(self): return tuple(self.seqids) def get_features(self, c=None, left=0, right=float('inf')): ''' Get all features on all chromosomes in sorted order. Chromosomes are emitted in order of first appearance (via add). Features on each chromosome are emitted in start, then stop order. If boundaries are specified, we restrict to features that contain the specified interval. ''' self._cleanup() if c is not None: seqlist = [c] else: seqlist = self.seqids for c in seqlist: for start, stop, strand, other in self.seq_to_features[c]: if stop>=left and start<=right: yield (c, start, stop, strand, other) def get_intervals(self, c=None): ''' Get all intervals on the reference where the overlapping feature set remains the same. Output will be sorted, adjacent intervals and will describe how many and which features overlap it. ''' self._cleanup() if c is not None: seqlist = [c] else: seqlist = self.seqids for c in seqlist: for left, right in pairwise(sorted(self.seq_to_breakpoints[c])): right = right - 1 features = list(self.get_features(c, left, right)) yield (c, left, right, len(features), features) def available_cpu_count(): """ Return the number of available virtual or physical CPUs on this system. The number of available CPUs can be smaller than the total number of CPUs when the cpuset(7) mechanism is in use, as is the case on some cluster systems. Adapted from http://stackoverflow.com/a/1006301/715090 """ cgroup_cpus = MAX_INT32 try: # cgroup CPU count determination (w/ v2) adapted from: # https://github.com/conan-io/conan/blob/2.9.2/conan/tools/build/cpu.py#L31-L54 # # see also: # https://docs.kernel.org/scheduler/sched-bwc.html # This is necessary to determine docker cpu_count cfs_quota_us = cfs_period_us = 0 # cgroup v2 if os.path.exists("/sys/fs/cgroup/cgroup.controllers"): log.debug("cgroup v2 detected") cpu_max = util_file.slurp_file("/sys/fs/cgroup/cpu.max").split() if cpu_max[0] != "max": if len(cpu_max) == 1: cfs_quota_us, cfs_period_us = int(cpu_max[0]), 100_000 else: cfs_quota_us, cfs_period_us = map(int, cpu_max) # cgroup v1 else: log.debug("cgroup v1 detected") cfs_quota_us = int(util_file.slurp_file("/sys/fs/cgroup/cpu/cpu.cfs_quota_us")) cfs_period_us = int(util_file.slurp_file("/sys/fs/cgroup/cpu/cpu.cfs_period_us")) log.debug('cfs_quota_us %s, cfs_period_us %s', cfs_quota_us, cfs_period_us) if cfs_quota_us > 0 and cfs_period_us > 0: cgroup_cpus = max(1, int(math.ceil(cfs_quota_us / cfs_period_us))) except Exception as e: pass proc_cpus = MAX_INT32 try: m = re.search(r'(?m)^Cpus_allowed:\s*(.*)$', util_file.slurp_file('/proc/self/status')) if m: res = bin(int(m.group(1).replace(',', ''), 16)).count('1') if res > 0: proc_cpus = res except IOError: pass min_cpu_count_reported = min(cgroup_cpus, proc_cpus, multiprocessing.cpu_count()) log.debug('min(cgroup_cpus %d, proc_cpus %d, multiprocessing cpus %d) = %d', cgroup_cpus, proc_cpus, multiprocessing.cpu_count(), min_cpu_count_reported) return min_cpu_count_reported def sanitize_thread_count(threads=None, tool_max_cores_value=available_cpu_count): ''' Given a user specified thread count, this function will: - ensure that 1 <= threads <= available_cpu_count() - interpret None values to mean max available cpus unless PYTEST_XDIST_WORKER_COUNT is defined as an environment variable, in which case we always return 1 - allow for various, tool-specific ways of specifying max available cores (tool_max_value) tool_max_cores_value can be one of: available_cpu_count - this function will return available_cpu_count() any other value - this function will return that value. some commonly used values for tools are -1, 0, and None. ''' if 'PYTEST_XDIST_WORKER_COUNT' in os.environ: threads = 1 max_cores = available_cpu_count() if threads is None: threads = max_cores assert type(threads) == int if threads >= max_cores: if tool_max_cores_value == available_cpu_count: threads = max_cores else: threads = tool_max_cores_value else: if threads < 1: threads = 1 return threads def which(application_binary_name): """ Similar to the *nix "which" command, this function finds the first executable binary present in the system PATH for the binary specified. It differs in that it resolves symlinks. """ path=os.getenv('PATH') for path in path.split(os.path.pathsep): full_path=os.path.join(path, application_binary_name) if os.path.exists(full_path) and os.access(full_path, os.X_OK): link_resolved_path = os.path.realpath(full_path) return link_resolved_path def is_nonstr_iterable(x, str_types=str): '''Tests whether `x` is an Iterable other than a string. `str_types` gives the type(s) to treat as strings.''' return isinstance(x, collections.abc.Iterable) and not isinstance(x, str_types) def make_seq(x, str_types=str): '''Return a tuple containing the items in `x`, or containing just `x` if `x` is a non-string iterable. Convenient for uniformly writing iterations over parameters that may be passed in as either an item or a tuple/list of items. Note that if `x` is an iterator, it will be concretized. `str_types` gives the type(s) to treat as strings.' ''' return tuple(x) if is_nonstr_iterable(x, str_types) else (x,) def load_yaml_or_json(fname): '''Load a dictionary from either a yaml or a json file''' with open(fname) as f: if fname.upper().endswith('.YAML'): return yaml.safe_load(f) or {} if fname.upper().endswith('.JSON'): return json.load(f) or {} raise TypeError('Unsupported dict file format: ' + fname) def load_config(cfg, include_directive='include', std_includes=(), param_renamings=None): '''Load a configuration, with support for some extra functionality that lets project configurations evolve without breaking backwards compatibility. The configuration `cfg` is either a dict (possibly including nested dicts) or a yaml/json file containing one. A configuration parameter or config param is a sequence of one or more keys; the value of the corresponding parameter is accessed as "cfg[k1][k2]...[kN]". Note, by "parameter" we denote the entire sequence of keys. This function implements extensions to the standard way of specifying configuration parameters via (possibly nested) dictionaries. These extensions make it easier to add or rename config params without breaking backwards compatibility. One extension lets config files include other config files, and lets you specify "standard" config file(s) to be included before all others. If the "default" config file from the project distribution is made a standard include, new parameters can be added to it (and referenced from project code) without breaking compatibility with old config files that omit these parameters. Another extension lets you, when loading a config file, recognize parameters specified under old or legacy names. This lets you change parameter names in new program versions while still accepting legacy config files that use older names. Args: cfg: either a config mapping, or the name of a file containing one (in yaml or json format). A config mapping is just a dict, possibly including nested dicts, specifying config params. The mapping can include an entry pointing to other config files to include. The key of the entry is `include_directive`, and the value is a filename or list of filenames of config files. Relative filenames are interpreted relative to the directory containing `cfg`, if `cfg` is a filename, else relative to the current directory. Any files from `std_includes` are prepended to the list of included config files. Parameter values from `cfg` override ones from any included files, and parameter values from included files listed later in the include list override parameter values from included files listed earlier. include_directive: key used to specify included config files std_includes: config file(s) implicitly included before all others and before `cfg` param_renamings: optional map of old/legacy config param names to new ones. 'Param names' here are either keys or sequences of keys. Example value: {'trinity_kmer_size': ('de_novo_assembly', 'kmer_size')}; new code can access the parameter as cfg["de_novo_assembly"]["kmer_size"] while legacy users can keep specifying it as "trinity_kmer_size: 31". ''' param_renamings = param_renamings or {} result = dict() base_dir_for_includes = None if isinstance(cfg, str): cfg_fname = os.path.realpath(cfg) base_dir_for_includes = os.path.dirname(cfg_fname) cfg = load_yaml_or_json(cfg_fname) def _update_config(config, overwrite_config): """Recursively update dictionary config with overwrite_config. Adapted from snakemake.utils. See http://stackoverflow.com/questions/3232943/update-value-of-a-nested-dictionary-of-varying-depth for details. Args: config (dict): dictionary to update overwrite_config (dict): dictionary whose items will overwrite those in config """ def _update(d, u): def fix_None(v): return {} if v is None else v for (key, value) in u.items(): if (isinstance(value, collections.abc.Mapping)): d[key] = _update(fix_None(d.get(key, {})), value) else: d[key] = fix_None(value) return d _update(config, overwrite_config) includes = make_seq(std_includes) + make_seq(cfg.get(include_directive, [])) for included_cfg_fname in includes: if (not os.path.isabs(included_cfg_fname)) and base_dir_for_includes: included_cfg_fname = os.path.join(base_dir_for_includes, included_cfg_fname) _update_config(result, load_config(cfg=included_cfg_fname, include_directive=include_directive, param_renamings=param_renamings)) # mappings in the current (top-level) config override any mappings from included configs _update_config(result, cfg) # load any params specified under legacy names, for backwards compatibility param_renamings_seq = dict(map(lambda kv: map(make_seq, kv), param_renamings.items())) for old_param, new_param in param_renamings_seq.items(): # handle chains of param renamings while new_param in param_renamings_seq: new_param = param_renamings_seq[new_param] old_val = functools.reduce(lambda d, k: d.get(k, {}), old_param, result) new_val = functools.reduce(lambda d, k: d.get(k, {}), new_param, result) if old_val != {} and new_val == {}: _update_config(result, functools.reduce(lambda d, k: {k: d}, new_param[::-1], old_val)) log.warning('Config param {} has been renamed to {}; old name accepted for now'.format(old_param, new_param)) return result def as_type(val, types): """Try converting `val`to each of `types` in turn, returning the first one that succeeds.""" errs = [] for type in make_seq(types): try: return type(val) except Exception as e: errs.append(e) pass raise TypeError('Could not convert {} to any of {}: {}'.format(val, types, errs)) def subdict(d, keys): """Return a newly allocated shallow copy of a mapping `d` restricted to keys in `keys`.""" d = dict(d) keys = set(keys) return {k: v for k, v in d.items() if k in keys} def chk(condition, message='Check failed', exc=RuntimeError): """Check a condition, raise an exception if condition is False.""" if not condition: raise exc(message) def wraps(f): """Like functools.wraps but sets __wrapped__ even on Python 2.7""" wrapper = functools.wraps(f) wrapper.__wrapped__ = f return wrapper def unwrap(f): """Find the original function under layers of wrappers""" return f if not hasattr(f, '__wrapped__') else unwrap(f.__wrapped__) def convert_size_str(input_size_str, output_unit="m", round_number=True): """ intended to convert a jvm-style size spec to an int value of the desired unit """ unit2factor = {'k': 1024, 'm': 1024**2, 'g': 1024**3, 't': 1024**4} output_unit = output_unit.lower() size_spec_pattern = re.compile(r"(.*)([kmgt])") m = re.search(size_spec_pattern, input_size_str) if m: if m.group(1) and m.group(2): input_size=float(m.group(1)) input_unit=m.group(2).lower() if input_unit not in unit2factor.keys(): raise TypeError("Error parsing size from string: %s" % input_size_str) # convert to bytes size_in_bytes = input_size * unit2factor[input_unit] # convert to desired size if round_number: return str(round(max(1,float(size_in_bytes)/unit2factor[output_unit])))+output_unit else: return str(float(size_in_bytes)/unit2factor[output_unit])+output_unit # =========== ReadIdStore ================= class ReadIdStore: """ SQLite-backed store for read IDs with O(1) memory footprint. Uses SQLite for disk-based storage with automatic deduplication via UNIQUE constraint. Supports random sampling for downsampling operations. """ def __init__(self, db_path): """ Initialize the read ID store. Args: db_path: Path to SQLite database file (typically in tmpdir) """ self.db_path = db_path self.conn = sqlite3.connect(db_path) # Performance pragmas (safe since db_path is in tmpdir) self.conn.execute('PRAGMA synchronous = OFF') self.conn.execute('PRAGMA journal_mode = OFF') self.conn.execute('PRAGMA cache_size = -64000') # 64MB cache (negative = KiB) self.conn.execute('PRAGMA temp_store = MEMORY') self.conn.execute(''' CREATE TABLE IF NOT EXISTS read_ids ( id INTEGER PRIMARY KEY AUTOINCREMENT, read_id TEXT UNIQUE NOT NULL ) ''') self.conn.commit() def add_from_fastq(self, fastq_path): """ Extract read IDs from a FASTQ file and add to the store. Handles paired-end reads by stripping /1 or /2 suffixes. Duplicates are automatically ignored via INSERT OR IGNORE. Args: fastq_path: Path to FASTQ file (can be gzipped) Returns: Number of new read IDs added """ cursor = self.conn.cursor() count_before = len(self) with util_file.open_or_gzopen(fastq_path, 'rt') as inf: line_num = 0 batch = [] for line in inf: if (line_num % 4) == 0: idVal = line.rstrip('\n')[1:] # Remove /1 or /2 suffix if present (paired-end reads) if idVal.endswith('/1') or idVal.endswith('/2'): idVal = idVal[:-2] batch.append((idVal,)) # Batch inserts for performance if len(batch) >= 10000: cursor.executemany( 'INSERT OR IGNORE INTO read_ids (read_id) VALUES (?)', batch ) batch = [] line_num += 1 # Insert remaining batch if batch: cursor.executemany( 'INSERT OR IGNORE INTO read_ids (read_id) VALUES (?)', batch ) self.conn.commit() return len(self) - count_before def add_from_readlist(self, readlist_path): """ Add read IDs from a text file (one ID per line). Args: readlist_path: Path to text file with one read ID per line. Empty lines and whitespace are stripped. """ with util_file.open_or_gzopen(readlist_path, 'rt') as f: self.extend(line.strip() for line in f if line.strip()) def __len__(self): """Return the number of unique read IDs in the store.""" cursor = self.conn.execute('SELECT COUNT(*) FROM read_ids') return cursor.fetchone()[0] def __iter__(self): """Iterate over all read IDs in insertion order. O(1) memory.""" cursor = self.conn.execute('SELECT read_id FROM read_ids ORDER BY id') for row in cursor: yield row[0] def __contains__(self, read_id): """Check if a read ID exists in the store.""" cursor = self.conn.execute( 'SELECT 1 FROM read_ids WHERE read_id = ? LIMIT 1', (read_id,) ) return cursor.fetchone() is not None def contains_batch(self, read_ids, batch_size=10000): """ Check multiple read IDs for membership in batched queries. Args: read_ids: List of read ID strings to check batch_size: Number of IDs to query at once (default 10000) Returns: Set of read IDs that exist in the store """ found = set() batch = [] for read_id in read_ids: batch.append(read_id) if len(batch) >= batch_size: placeholders = ','.join('?' * len(batch)) cursor = self.conn.execute( f'SELECT read_id FROM read_ids WHERE read_id IN ({placeholders})', batch ) found.update(row[0] for row in cursor) batch = [] if batch: placeholders = ','.join('?' * len(batch)) cursor = self.conn.execute( f'SELECT read_id FROM read_ids WHERE read_id IN ({placeholders})', batch ) found.update(row[0] for row in cursor) return found def add(self, read_id): """ Add a single read ID to the store. Args: read_id: The read ID string to add Returns: True if the read ID was added, False if it already existed """ cursor = self.conn.execute( 'INSERT OR IGNORE INTO read_ids (read_id) VALUES (?)', (read_id,) ) self.conn.commit() return cursor.rowcount > 0 def extend(self, read_ids): """ Add multiple read IDs to the store efficiently. Uses executemany for batch insertion. O(1) memory - processes the input iterable in chunks. Args: read_ids: Iterable of read ID strings Returns: Number of new read IDs added """ count_before = len(self) cursor = self.conn.cursor() # Process in batches for memory efficiency batch = [] for read_id in read_ids: batch.append((read_id,)) if len(batch) >= 10000: cursor.executemany( 'INSERT OR IGNORE INTO read_ids (read_id) VALUES (?)', batch ) batch = [] # Insert remaining batch if batch: cursor.executemany( 'INSERT OR IGNORE INTO read_ids (read_id) VALUES (?)', batch ) self.conn.commit() return len(self) - count_before def __delitem__(self, read_id): """ Delete a read ID from the store. Args: read_id: The read ID string to delete Raises: KeyError: If the read ID does not exist """ cursor = self.conn.execute( 'DELETE FROM read_ids WHERE read_id = ?', (read_id,) ) self.conn.commit() if cursor.rowcount == 0: raise KeyError(read_id) def discard(self, read_id): """ Remove a read ID if it exists, without raising an error if absent. Args: read_id: The read ID string to remove """ self.conn.execute( 'DELETE FROM read_ids WHERE read_id = ?', (read_id,) ) self.conn.commit() def write_to_file(self, out_path, max_reads=None): """ Write read IDs to a file. Args: out_path: Output file path max_reads: If specified, randomly sample this many read IDs Returns: Number of read IDs written """ if max_reads is not None and max_reads < len(self): # Random sampling using ORDER BY RANDOM() query = 'SELECT read_id FROM read_ids ORDER BY RANDOM() LIMIT ?' cursor = self.conn.execute(query, (max_reads,)) else: # Return all in insertion order query = 'SELECT read_id FROM read_ids ORDER BY id' cursor = self.conn.execute(query) count = 0 with open(out_path, 'wt') as outf: for row in cursor: outf.write(row[0] + '\n') count += 1 return count def shrink_to_subsample(self, n): """ Destructively shrink the store to a random subsample of n elements. This modifies the store in-place, keeping exactly n randomly selected read IDs and deleting all others. If the store has n or fewer elements, no changes are made. Args: n: Number of read IDs to keep Note: Uses SQLite's ORDER BY RANDOM() for random selection. The operation is O(N log N) where N is the current store size due to random sorting. """ current_size = len(self) if current_size <= n: return # Nothing to do # Delete all rows except n randomly selected ones self.conn.execute(''' DELETE FROM read_ids WHERE id NOT IN ( SELECT id FROM read_ids ORDER BY RANDOM() LIMIT ? ) ''', (n,)) self.conn.commit() def filter_bam_by_ids(self, inBam, outBam, include=True): """ Filter a BAM file to reads matching (or not matching) IDs in this store. This is a faster, O(1) memory replacement for picard.FilterSamReadsTool. Headers are fully preserved from input to output. Args: inBam: Input BAM file path outBam: Output BAM file path include: If True, keep only reads with IDs in the store (inclusion list). If False, keep only reads with IDs NOT in the store (exclusion list). Note: For paired-end reads, both mates share the same QNAME so both will be kept or excluded together based on whether the QNAME is in the store. """ # Lazy import to avoid circular dependency from . import samtools as samtools_module # Handle empty input BAM samtools_tool = samtools_module.SamtoolsTool() if samtools_tool.isEmpty(inBam): shutil.copyfile(inBam, outBam) return # Handle empty read ID store if len(self) == 0: if include: # Include mode with empty list = empty output (keep header only) with pysam.AlignmentFile(inBam, 'rb', check_sq=False) as inb: with pysam.AlignmentFile(outBam, 'wb', header=inb.header) as outf: pass # Write header only, no reads else: # Exclude mode with empty list = keep all reads shutil.copyfile(inBam, outBam) return # Hybrid approach: samtools subprocess pipes + batched SQLite queries start = time.time() read_count = 0 write_count = 0 lookup_time = 0.0 batch_size = 50000 samtools_path = samtools_tool.install_and_get_path() # Read: samtools view -h --no-PG input.bam -> SAM text (with header, no PG added) # Write: samtools view -b --no-PG -o output.bam - (converts SAM to BAM, no PG added) read_proc = subprocess.Popen( [samtools_path, 'view', '-h', '--no-PG', inBam], stdout=subprocess.PIPE) write_proc = subprocess.Popen( [samtools_path, 'view', '-b', '-@', '2', '--no-PG', '-o', outBam, '-'], stdin=subprocess.PIPE) try: batch = [] # [(line, qname), ...] for line in read_proc.stdout: # Header lines (start with @) are passed through unchanged if line.startswith(b'@'): write_proc.stdin.write(line) continue read_count += 1 # Parse only QNAME (first field before tab) tab_pos = line.find(b'\t') qname = line[:tab_pos].decode() batch.append((line, qname)) if len(batch) >= batch_size: t0 = time.time() found = self.contains_batch([q for _, q in batch]) lookup_time += time.time() - t0 for ln, q in batch: if (include and q in found) or (not include and q not in found): write_proc.stdin.write(ln) write_count += 1 batch = [] # Process remaining batch if batch: t0 = time.time() found = self.contains_batch([q for _, q in batch]) lookup_time += time.time() - t0 for ln, q in batch: if (include and q in found) or (not include and q not in found): write_proc.stdin.write(ln) write_count += 1 finally: write_proc.stdin.close() write_proc.wait() read_proc.wait() elapsed = time.time() - start log.debug(f"PERF: filter_time={elapsed:.2f}s lookup_time={lookup_time:.2f}s " f"reads={read_count} written={write_count} batch_size={batch_size}") def close(self): """Close the database connection.""" self.conn.close() def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() return False # =========== CoordMapper ================= class CoordMapperError(Exception): def __init___(self, *args, **kwargs): super(CoordMapperError, self).__init__(self, *args, **kwargs) class CoordMapper(collections.abc.MutableMapping): """ Map (chrom, coordinate) between genome A and genome B. Coordinates are 1-based. Indels are handled as follows after corresponding sequences are aligned: Return (chrom, None) if base is past either end of other sequence. If a base maps to a gap in the other species, return the index of the closest upstream non-gap base. If a base is followed by a gap then instead of returning an integer, return a two-element list representing the interval in the other species that aligns to this base and the subsequent gap. Assumption: the aligner tool will never align two gaps, and will never put gaps in opposite species adjacent to each other without aligning a pair of real bases in between. """ def __init__(self, alignerTool=None): """ The two genomes are described by fasta files with the same number of chromosomes, and corresponding chromosomes must be in same order. Args: alignerTool: Aligner tool class (e.g., muscle.MuscleTool). If None, defaults to muscle.MuscleTool (lazy import). """ from collections import OrderedDict # { # chrA : {chrB: mapperAB, chrC: mapperAC}, # chrB : {chrA: mapperBA, chrC: mapperBC}, # chrC : {chrA: mapperCA, chrB: mapperCB} # } self.chrMaps = OrderedDict() self.chrMapsUngapped = OrderedDict() if alignerTool is None: # Lazy import to avoid circular dependency from ..phylo import muscle alignerTool = muscle.MuscleTool self.alignerTool = alignerTool() def __getitem__(self, key): return self.chrMaps[key] def __setitem__(self, key, value): raise TypeError("'%s' object does not support item assignment" % self.__class__.__name__) def __delitem__(self, key): raise TypeError("'%s' object does not support item deletion" % self.__class__.__name__) def __len__(self): return len(self.chrMaps) def __iter__(self): for i in self.chrMaps: yield i def __contains__(self, key): if key in self.chrMaps: return True else: return False def keys(self): return self.chrMaps.keys() def mapAtoB(self, fromChrom, fromPos=None, side=0): """ Map (chrom, coordinate) from genome A to genome B. If fromPos is None, map only the chromosome name If side is: < 0, return the left-most position on B ==0, return either the unique position on B or a [left,right] list > 0, return the right-most position on B """ if len(self.chrMaps.keys()) != 4: raise LookupError( "CoordMapper.mapAtoB expects two input sequences and is provided only as a legacy function") return self.mapChr(fromChrom, list(self.chrMaps[fromChrom].keys())[0], fromPos, side) def mapBtoA(self, fromChrom, fromPos=None, side=0): """ Map (chrom, coordinate) from genome B to genome A. If fromPos is None, map only the chromosome name If side is: < 0, return the left-most position on A ==0, return either the unique position on A or a [left,right] list > 0, return the right-most position on A """ if len(self.chrMaps.keys()) != 4: raise LookupError( "CoordMapper.mapBtoA expects two input sequences and is provided only as a legacy function") return self.mapChr(fromChrom, list(self.chrMaps[fromChrom].keys())[0], fromPos, side) def mapChr(self, fromChrom, toChrom, fromPos=None, side=0): """ Map (chrom, coordinate) from seq "fromChrom" to seq "toChrom". If fromPos is None, map only the chromosome name If side is: < 0, return the left-most position on A ==0, return either the unique position on A or a [left,right] list > 0, return the right-most position on A """ if fromChrom not in self.chrMaps: raise KeyError("chr '%s' not found in CoordMapper relation map" % fromChrom) if toChrom not in self.chrMaps[fromChrom].keys(): raise KeyError("chr '%s' not found in CoordMapper relation map" % toChrom) mapper = self.chrMaps[fromChrom][toChrom] if fromPos is None: return toChrom toPos = mapper(fromPos, 0) if isinstance(toPos, collections.abc.Sequence) and side != 0: toPos = toPos[0] if side < 0 else toPos[1] return (toChrom, toPos) def load_alignments(self, aligned_files, a_idx=None, b_idx=None): """ Loads aligned sequences into a CoordMapper instance. Any number of sequences >1 may be read in. Mappers may be accessed via CoordMapper.chrMaps where chrMaps may look like: ``` { chrA : {chrB: mapperAB, chrC: mapperAC}, chrB : {chrA: mapperBA, chrC: mapperBC}, chrC : {chrA: mapperCA, chrB: mapperCB} } ``` """ from collections import OrderedDict for alignOutFileName in aligned_files: with open(alignOutFileName, 'rt') as alignOutFile: seqs = list(Bio.SeqIO.parse(alignOutFile, 'fasta')) # if mapping between specific sequences is specified if a_idx is not None and b_idx is not None: assert a_idx >= 0 and b_idx >= 0 assert a_idx < len(seqs) and b_idx < len(seqs) mapper = CoordMapper2Seqs(seqs[a_idx].seq, seqs[b_idx].seq) self.chrMaps.setdefault(seqs[a_idx].id, OrderedDict()) mapDict = OrderedDict() mapDict[seqs[b_idx].id] = mapper self.chrMaps[seqs[a_idx].id] = mapDict mapper = CoordMapper2Seqs(seqs[b_idx].seq, seqs[a_idx].seq) self.chrMaps.setdefault(seqs[b_idx].id, OrderedDict()) mapDict = OrderedDict() mapDict[seqs[a_idx].id] = mapper self.chrMaps[seqs[b_idx].id] = mapDict # otherwise, map all possible pairwise itertools.permutations else: for (seq1, seq2) in itertools.permutations(seqs, 2): if (seq1.id == seq2.id): raise KeyError("duplicate sequence names '%s', '%s'" % (seq1.id, seq2.id)) self.chrMaps.setdefault(seq1.id, OrderedDict()) self.chrMapsUngapped.setdefault(seq1.id, OrderedDict()) # if the sequence we are mapping onto is already in the map # raise an error # (could occur if same sequence is read in from multiple files) if (seq2.id in self.chrMaps[seq1.id]): raise KeyError( "duplicate sequence name '%s' already in chrMap for %s" % (seq2.id, seq1.id)) mapper = CoordMapper2Seqs(seq1.seq, seq2.seq) mapDict = self.chrMaps[seq1.id] mapDict[seq2.id] = mapper self.chrMaps[seq1.id] = mapDict def align_and_load_sequences(self, unaligned_fasta_files, aligner=None): aligner = self.alignerTool if aligner is None else aligner # transpose per_chr_fastas = util_file.transposeChromosomeFiles(unaligned_fasta_files) if not per_chr_fastas: raise Exception('no input sequences') # align alignOutFileNames = [] for alignInFileName in per_chr_fastas: alignOutFileName = util_file.mkstempfname('.fasta') aligner.execute(alignInFileName, alignOutFileName) alignOutFileNames.append(alignOutFileName) os.unlink(alignInFileName) # read in self.load_alignments(alignOutFileNames) # clean up for f in alignOutFileNames: os.unlink(f) class CoordMapper2Seqs(object): """ Map 1-based coordinates between two aligned sequences. Result is a coordinate or an interval, as described in CoordMapper main comment string. Return None if beyond end. Input sequences must be already-aligned iterators through bases with gaps represented by dashes and all other characters assumed to be real bases. Assumptions: - Sequences (including gaps) are same length. - Each sequence has at least one real base. - A gap is never aligned to a gap. - A gap in one sequence is never adjacent to a gap in the other; there must always be an intervening real base between two gaps. """ # # Implementation: # mapArrays is a pair of arrays of equal length such that # (mapArrays[0][n], mapArrays[1][n]) are the coordinates of a pair of # aligned real bases on the two sequences. The only pairs that are # included are the first, the last, and the pair immediately following # any gap. Pairs are in increasing order. Coordinate mapping # requires binary search in one of the arrays. # Total space required, in bytes, is const + 8 * (number of indels). # Time for a map in either direction is O(log(number of indels)). # def __init__(self, seq0, seq1): self.mapArrays = [array.array('I'), array.array('I')] baseCount0 = 0 # Number of real bases in seq0 up to and including cur pos baseCount1 = 0 # Number of real bases in seq1 up to and including cur pos beforeStart = True # Haven't yet reached first pair of aligned real bases gapSinceLast = False # Have encounted a gap since last pair in mapArrays for b0, b1 in itertools.zip_longest(seq0, seq1): if b0 is None or b1 is None: raise Exception('CoordMapper2Seqs: sequences must be same length.') realBase0 = b0 != '-' realBase1 = b1 != '-' baseCount0 += realBase0 baseCount1 += realBase1 if realBase0 and realBase1: if beforeStart or gapSinceLast: self.mapArrays[0].append(baseCount0) self.mapArrays[1].append(baseCount1) gapSinceLast = False beforeStart = False finalPos0 = baseCount0 # Last pair of aligned real bases so far finalPos1 = baseCount1 # Last pair of aligned real bases so far else: gapSinceLast = True if len(self.mapArrays[0]) > 0: if self.mapArrays[0][-1] != finalPos0: self.mapArrays[0].append(finalPos0) self.mapArrays[1].append(finalPos1) def __call__(self, fromPos, fromWhich): """ fromPos: 1-based coordinate fromWhich: if 0, map from 1st sequence to 2nd, o.w. 2nd to 1st.""" if len(self.mapArrays[0]) == 0: raise Exception('CoordMapper2Seqs: no aligned bases.') if fromPos != int(fromPos): raise TypeError('CoordMapper2Seqs: pos %s is not an integer' % fromPos) fromArray = self.mapArrays[fromWhich] toArray = self.mapArrays[1 - fromWhich] if fromPos < fromArray[0] or fromPos > fromArray[-1]: result = None elif fromPos == fromArray[-1]: result = toArray[-1] else: insertInd = bisect.bisect(fromArray, fromPos) prevFromPos = fromArray[insertInd - 1] nextFromPos = fromArray[insertInd] prevToPos = toArray[insertInd - 1] nextToPos = toArray[insertInd] assert (prevFromPos <= fromPos < nextFromPos) prevPlusOffset = prevToPos + (fromPos - prevFromPos) if fromPos == nextFromPos - 1 and prevPlusOffset < nextToPos - 1: result = [prevPlusOffset, nextToPos - 1] else: result = min(prevPlusOffset, nextToPos - 1) return result ================================================ FILE: src/viral_ngs/core/mvicuna.py ================================================ "Tool for mvicuna." import logging import os import subprocess import shutil from . import samtools, picard # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool, PrexistingUnixCommand TOOL_NAME = "mvicuna" _log = logging.getLogger(__name__) class MvicunaTool(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME))] Tool.__init__(self, install_methods=install_methods) def rmdup(self, inPair, outPair, outUnpaired=None): """ Run mvicuna's duplicate removal operation on paired-end input reads in fastq format, producing various outputs in fastq format. inPair, pairedOutPair are pairs of file names, while unpairedOut is a single file name. Notes on weird behaviors of M-Vicuna DupRm: For some reason, it requires you to specify both -opfq and -drm_op. The -drm_op pair (here, tmp1OutPair) is where the output is initially written. Then M-Vicuna renames the -drm_op files to the -opfq filenames (here, tmp2OutPair). So obviously, we use throwaway (tempfile) names for -drm_op and use the real desired output file names in -opfq. The problem is that M-Vicuna uses a rename/move operating system function, which means your tempfiles cannot be on a different file system than the final output files. This is our typical use case (local disks for tempfile.tempdir and network file systems for final output). Hence, our wrapper sets -opfq to yet another set of temp file names, and we move the final output files ourselves using shutil.move (which is capable of crossing file system boundaries). """ if not outUnpaired: outUnpaired = util_file.mkstempfname(suffix='.unpaired.fastq') tmp1OutPair = ( util_file.mkstempfname(suffix='.tmp1out.1.fastq'), util_file.mkstempfname(suffix='.tmp1out.2.fastq') ) tmp2OutPair = ( util_file.mkstempfname(suffix='.tmp2out.1.fastq'), util_file.mkstempfname(suffix='.tmp2out.2.fastq') ) cmdline = [ self.install_and_get_path(), '-ipfq', ','.join(inPair), '-opfq', ','.join(tmp2OutPair), '-osfq', outUnpaired, '-drm_op', ','.join(tmp1OutPair), '-tasks', 'DupRm' ] _log.debug(' '.join(cmdline)) subprocess.check_call(cmdline) for tmpfname, outfname in zip(tmp2OutPair, outPair): shutil.copyfile(tmpfname, outfname) def rmdup_single(self, inFastq, outFastq): """ Run mvicuna's duplicate removal operation on single-end input reads in fastq format, producing output in fastq format. Notes on weird behaviors of M-Vicuna DupRm: For some reason, it requires you to specify both -opfq and -drm_op even for single-end input. Actually, more interestingly, this doesn't work at all. """ _log.warning("MVicuna duplicate removal doesn't work for single-end reads. Copying input to output and allowing all reads to pass.") shutil.copyfile(inFastq, outFastq) ''' tmp1OutPair = ( util_file.mkstempfname(suffix='.tmp1out.1.fastq'), util_file.mkstempfname(suffix='.tmp1out.2.fastq') ) tmp2OutPair = ( util_file.mkstempfname(suffix='.tmp2out.1.fastq'), util_file.mkstempfname(suffix='.tmp2out.2.fastq') ) cmdline = [ self.install_and_get_path(), '-isfq', inFastq, '-osfq', outFastq, '-opfq', ','.join(tmp2OutPair), '-drm_op', ','.join(tmp1OutPair), '-tasks', 'DupRm' ] _log.debug(' '.join(cmdline)) subprocess.check_call(cmdline) ''' ================================================ FILE: src/viral_ngs/core/novoalign.py ================================================ ''' Novoalign aligner by Novocraft This is commercial software that has different licenses depending on use cases. As such, we do not have an auto-downloader. The user must have Novoalign pre-installed on their own and available either in $PATH or $NOVOALIGN_PATH. ''' import logging import os import os.path import shutil import subprocess import stat import sys from . import samtools, picard # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from .errors import * from . import Tool, PrexistingUnixCommand _log = logging.getLogger(__name__) TOOL_NAME = "novoalign" class NovoalignTool(Tool): def __init__(self, path=None, license_path=None): self.tool_version = None install_methods = [] for novopath in [path, os.environ.get('NOVOALIGN_PATH')]: if novopath is not None: install_methods.append( PrexistingUnixCommand( os.path.join(novopath, TOOL_NAME), require_executability=True ) ) install_methods.append(PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)) post_verify_command = None for novo_license_path in [license_path, os.environ.get("NOVOALIGN_LICENSE_PATH"), '']: if novo_license_path is not None and os.path.isfile(novo_license_path): # called relative to the conda bin/ directory uname = os.uname() # we ideally want the "update" copy operation # but only GNU cp has it. On OSX, the license will be copied each time. if uname[0] == 'Darwin': copy_operation = '' else: copy_operation = '-u' post_verify_command = "cp {copy_operation} {lic_path} ./".format(copy_operation=copy_operation, lic_path=novo_license_path) break # if we've found a license file, stop looking #install_methods.append(tools.CondaPackage(TOOL_NAME, version=TOOL_VERSION, post_verify_command=post_verify_command)) Tool.__init__(self, install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-V']).decode('UTF-8').strip().split()[1] def _fasta_to_idx_name(self, fasta): if not fasta.endswith('.fasta'): raise ValueError('input file %s must end with .fasta' % fasta) return fasta[:-6] + '.nix' def execute(self, inBam, refFasta, outBam, options=None, min_qual=0, JVMmemory=None): # pylint: disable=W0221 ''' Execute Novoalign on BAM inputs and outputs. If the BAM contains multiple read groups, break up the input and perform Novoalign separately on each one (because Novoalign mangles read groups). Use Picard to sort and index the output BAM. If min_qual>0, use Samtools to filter on mapping quality. ''' options = options or ["-r", "Random"] samtools_tool = samtools.SamtoolsTool() # fetch list of RGs rgs = samtools_tool.getReadGroups(inBam) rgs_list = list(samtools_tool.getReadGroups(inBam).keys()) if len(rgs) == 0: # Can't do this raise InvalidBamHeaderError("{} lacks read groups".format(inBam)) elif len(rgs) == 1: # Only one RG, keep it simple self.align_one_rg_bam(inBam, refFasta, outBam, rgs=rgs, options=options, min_qual=min_qual, JVMmemory=JVMmemory) else: # Multiple RGs, align one at a time and merge align_bams = [] for rg in rgs: tmp_bam = util_file.mkstempfname('.{}.bam'.format(rg)) self.align_one_rg_bam( inBam, refFasta, tmp_bam, rgid=rg, rgs=rgs, options=options, min_qual=min_qual, JVMmemory=JVMmemory ) if os.path.getsize(tmp_bam) > 0: align_bams.append(tmp_bam) # Merge BAMs, sort, and index picard.MergeSamFilesTool().execute( align_bams, outBam, picardOptions=['SORT_ORDER=coordinate', 'USE_THREADING=true', 'CREATE_INDEX=true'], JVMmemory=JVMmemory ) for bam in align_bams: os.unlink(bam) def align_one_rg_bam(self, inBam, refFasta, outBam, rgid=None, rgs=None, options=None, min_qual=0, JVMmemory=None): ''' Execute Novoalign on BAM inputs and outputs. Requires that only one RG exists (will error otherwise). Use Picard to sort and index the output BAM. If min_qual>0, use Samtools to filter on mapping quality. ''' options = options or ["-r", "Random"] samtools_tool = samtools.SamtoolsTool() # Require exactly one RG rgs = rgs if rgs is not None else samtools_tool.getReadGroups(inBam) if len(rgs) == 0: raise InvalidBamHeaderError("{} lacks read groups".format(inBam)) elif len(rgs) == 1: if not rgid: rgid = list(rgs.keys())[0] elif not rgid: raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs))) if rgid not in rgs: raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid)) #rg = rgs[rgid] # Strip inBam to just one RG (if necessary) if len(rgs) == 1: one_rg_inBam = inBam else: # strip inBam to one read group tmp_bam = util_file.mkstempfname('.onebam.bam') samtools_tool.view(['-b', '-r', rgid], inBam, tmp_bam) # special exit if this file is empty if samtools_tool.count(tmp_bam) == 0: return # simplify BAM header otherwise Novoalign gets confused one_rg_inBam = util_file.mkstempfname('.{}.in.bam'.format(rgid)) headerFile = util_file.mkstempfname('.{}.header.txt'.format(rgid)) with open(headerFile, 'wt') as outf: for row in samtools_tool.getHeader(inBam): if len(row) > 0 and row[0] == '@RG': if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]: # skip all read groups that are not rgid continue outf.write('\t'.join(row) + '\n') samtools_tool.reheader(tmp_bam, headerFile, one_rg_inBam) os.unlink(tmp_bam) os.unlink(headerFile) # Novoalign _log.info("novoalign on {} ({}B), read group {}".format(one_rg_inBam, os.path.getsize(one_rg_inBam), rgid)) tmp_sam = util_file.mkstempfname('.novoalign.sam') cmd = [self.install_and_get_path(), '-f', one_rg_inBam] + list(map(str, options)) cmd = cmd + ['-F', 'BAM', '-d', self._fasta_to_idx_name(refFasta), '-o', 'SAM'] _log.debug(' '.join(cmd)) with open(tmp_sam, 'wt') as outf: util_misc.run_and_save(cmd, outf=outf) # Samtools filter (optional) if min_qual: tmp_bam2 = util_file.mkstempfname('.filtered.bam') samtools_tool.view(['-b', '-S', '-1', '-q', str(min_qual)], tmp_sam, tmp_bam2) os.unlink(tmp_sam) tmp_sam = tmp_bam2 # Picard SortSam sorter = picard.SortSamTool() sorter.execute( tmp_sam, outBam, sort_order='coordinate', picardOptions=['CREATE_INDEX=true', 'VALIDATION_STRINGENCY=SILENT'], JVMmemory=JVMmemory ) def index_fasta(self, refFasta, k=None, s=None): ''' Index a FASTA file (reference genome) for use with Novoalign. The input file name must end in ".fasta". This will create a new ".nix" file in the same directory. If it already exists, it will be deleted and regenerated. ''' novoindex = os.path.join(os.path.dirname(self.install_and_get_path()), 'novoindex') outfname = self._fasta_to_idx_name(refFasta) if os.path.isfile(outfname): os.unlink(outfname) cmd = [novoindex] if k is not None: cmd.extend(['-k', str(k)]) if s is not None: cmd.extend(['-s', str(s)]) cmd.extend([outfname, refFasta]) _log.debug(' '.join(cmd)) subprocess.check_call(cmd) try: mode = os.stat(outfname).st_mode & ~stat.S_IXUSR & ~stat.S_IXGRP & ~stat.S_IXOTH os.chmod(outfname, mode) except (IOError, OSError): _log.warning('could not chmod "%s", this is likely OK', refFasta) ================================================ FILE: src/viral_ngs/core/picard.py ================================================ ''' Tools in the Picard suite ''' import logging import os import os.path import tempfile import shutil import subprocess import contextlib from decimal import * import pysam from . import samtools # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool TOOL_NAME = "picard" _log = logging.getLogger(__name__) class PicardTools(Tool): """Base class for tools in the picard suite.""" jvmMemDefault = '2g' def is_installed(self): return True def __init__(self, install_methods=None): self.subtool_name = self.subtool_name if hasattr(self, "subtool_name") else None self.installed_method = True self.exec_path = shutil.which(TOOL_NAME) def _get_tool_version(self): self.tool_version = subprocess.check_output([self.exec_path, 'BamIndexStats', '--version']).decode('UTF-8').rstrip() def execute(self, command, picardOptions=None, JVMmemory=None, background=False, **kwargs): # pylint: disable=W0221 picardOptions = picardOptions or [] if JVMmemory is None: JVMmemory = self.jvmMemDefault # the conda version wraps the jar file with a shell script path = self.install_and_get_path() tool_cmd = [path, '-Xmx' + JVMmemory, '-Djava.io.tmpdir=' + tempfile.gettempdir(), command] + picardOptions # + ['USE_JDK_DEFLATER=true','USE_JDK_INFLATER=true'] _log.debug(' '.join(tool_cmd)) env = os.environ.copy() env.pop('JAVA_HOME', None) if background: return subprocess.Popen(tool_cmd, env=env, **kwargs) else: return subprocess.check_call(tool_cmd, env=env, **kwargs) @staticmethod def dict_to_picard_opts(options): return ["%s=%s" % (k, v) for k, v in options.items()] class RevertSamTool(PicardTools): subtoolName = 'RevertSam' def execute(self, inBam, outBam, picardOptions=None, JVMmemory=None, background=False): # pylint: disable=W0221 if samtools.SamtoolsTool().isEmpty(inBam): shutil.copyfile(inBam, outBam) else: picardOptions = picardOptions or [] opts = ['INPUT=' + inBam, 'OUTPUT=' + outBam] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory, background=background) class CheckIlluminaDirectoryTool(PicardTools): subtoolName = 'CheckIlluminaDirectory' def execute(self, basecalls_dir, lanes, read_structure, data_types = None, fake_files = False, tile_numbers = None, link_locs = False, picardOptions = None, JVMmemory = None): # pylint: disable=W0221 picardOptions = picardOptions or [] opts = [ 'BASECALLS_DIR=' + basecalls_dir, 'READ_STRUCTURE=' + read_structure ] if fake_files: opts += ['FAKE_FILES=true'] if tile_numbers is not None: if type(tile_numbers)==int: tile_numbers = [tile_numbers] for tile_number in set(tile_numbers): opts += ['TILE_NUMBERS=' + str(tile_number)] if data_types is not None: if isinstance(arg, str): data_types = [data_types] for data_type in set(data_types): opts += ['DATA_TYPES=' + data_type] # if lanes is a single int, cast it to a list if type(lanes)==int: lanes = [lanes] assert type(lanes)==list, "Lanes must be a list specifying the lanes" for lane in set(lanes): opts += ['LANES=' + str(lane)] if link_locs: opts += ['LINK_LOCS=true'] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class MarkDuplicatesTool(PicardTools): subtoolName = 'MarkDuplicates' def execute( self, inBams, outBam, outMetrics=None, taggingPolicy=None, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221 picardOptions = picardOptions or [] if not outMetrics: outMetrics = util_file.mkstempfname('.metrics') opts = ['INPUT=' + bam for bam in inBams] + ['OUTPUT=' + outBam, 'METRICS_FILE=' + outMetrics] if taggingPolicy: opts += ['TAGGING_POLICY={}'.format(taggingPolicy)] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class SplitSamByLibraryTool(PicardTools): subtoolName = 'SplitSamByLibrary' def execute( self, in_bam, out_dir, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221 if samtools.SamtoolsTool().isEmpty(in_bam): # Picard SplitSamByLibrary cannot deal with an empty input BAM file shutil.copyfile(in_bam, os.path.join(out_dir, 'output.bam')) return opts = ['INPUT=' + in_bam, 'OUTPUT=' + out_dir] PicardTools.execute(self, self.subtoolName, opts, JVMmemory=JVMmemory) class SamToFastqTool(PicardTools): subtoolName = 'SamToFastq' illumina_clipping_attribute = 'XT' def execute(self, inBam, outFastq1, outFastq2=None, outFastq0=None, illuminaClipping=False, interleave=False, picardOptions=None, JVMmemory=None, background=None, **kwargs): # pylint: disable=W0221 '''Write paired reads from `inBam` to `outFastq1` and `outFastq1`. If `outFastq0` is given, write any unpaired reads from `inBam` there, else ignore them. If `illuminaClipping` is True, trim reads at the clipping position specified by the Illumina clipping attribute (which is defined by the class variable SamToFastqTool.illumina_clipping_attribute).''' picardOptions = picardOptions or [] opts = [ 'INPUT=' + inBam, 'VALIDATION_STRINGENCY=SILENT', 'FASTQ=' + outFastq1, ] if outFastq2: opts.append('SECOND_END_FASTQ=' + outFastq2) else: if interleave: opts.append('INTERLEAVE=true') if outFastq0: assert outFastq2, "outFastq0 option only applies in paired-end output mode" opts.append('UNPAIRED_FASTQ=' + outFastq0) if illuminaClipping: opts += PicardTools.dict_to_picard_opts({ 'CLIPPING_ATTRIBUTE': SamToFastqTool.illumina_clipping_attribute, 'CLIPPING_ACTION': 'X' }) return PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory, background=background, **kwargs) @contextlib.contextmanager def execute_tmp(self, inBam, sfx='', includeUnpaired=False, **kwargs): '''Output reads from `inBam` to temp fastq files, and yield their filenames as a tuple. If `includeUnpaired` is True, output unpaired reads to a third temp fastq file and yield it as a third element of the tuple. ''' if not includeUnpaired: with util_file.tempfnames((sfx+'.1.fq', sfx+'.2.fq')) as (outFastq1, outFastq2): self.execute(inBam, outFastq1, outFastq2, **kwargs) yield outFastq1, outFastq2 else: with util_file.tempfnames((sfx+'.1.fq', sfx+'.2.fq', sfx+'.0.fq')) as (outFastq1, outFastq2, outFastq0): self.execute(inBam, outFastq1, outFastq2, outFastq0=outFastq0, **kwargs) yield outFastq1, outFastq2, outFastq0 def per_read_group(self, inBam, outDir, picardOptions=None, JVMmemory=None): if samtools.SamtoolsTool().isEmpty(inBam): # Picard SamToFastq cannot deal with an empty input BAM file if not os.path.isdir(outDir): os.mkdir(outDir) else: picardOptions = picardOptions or [] opts = ['INPUT=' + inBam, 'OUTPUT_DIR=' + outDir, 'OUTPUT_PER_RG=true', 'RG_TAG=ID'] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class FastqToSamTool(PicardTools): subtoolName = 'FastqToSam' jvmMemDefault = '4g' @staticmethod def isFastqEmpty(fastq_file): """ Check if a FASTQ file is semantically empty (contains no reads). A FASTQ file is considered empty if: - The file does not exist - The file is zero bytes - The file is small (< 1024 bytes) and contains only whitespace For performance, files >= 1024 bytes are assumed to be non-empty without reading their contents. Args: fastq_file (str): Path to FASTQ file Returns: bool: True if file is empty, False if it contains data """ if not fastq_file or not os.path.exists(fastq_file): return True # Large files are assumed to be non-empty (avoid reading huge files) if os.path.getsize(fastq_file) > 1024: return False # Small files: check if they contain only whitespace # Handle both gzipped and plain text files with util_file.open_or_gzopen(fastq_file, 'r') as f: return len(f.read().strip()) == 0 def execute( self, inFastq1, inFastq2, sampleName, outBam, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221 picardOptions = picardOptions or [] # Check if FASTQ inputs are empty (defensive code to handle edge cases) # Picard's FastqToSam crashes on empty FASTQs because it cannot determine quality encoding fastq1_empty = self.isFastqEmpty(inFastq1) fastq2_empty = self.isFastqEmpty(inFastq2) if inFastq2 else True # If inFastq2 is specified but empty, treat as single-read input if inFastq2 and fastq2_empty and not fastq1_empty: _log.warning("FASTQ2 file is empty; treating as single-read input: %s", inFastq1) inFastq2 = None fastq2_empty = True # If inFastq1 is empty, create an empty BAM file manually if fastq1_empty: _log.warning("FASTQ1 file is empty; creating empty BAM file: %s", outBam) # Parse picardOptions to extract header information picard_opts_dict = {} for opt in picardOptions: if '=' in opt: key, value = opt.split('=', 1) picard_opts_dict[key] = value # Create a minimal BAM header header = { 'HD': {'VN': '1.6', 'SO': 'queryname'}, 'RG': [{ 'ID': picard_opts_dict.get('READ_GROUP_NAME', 'A'), 'SM': sampleName, 'LB': picard_opts_dict.get('LIBRARY_NAME', sampleName), 'PL': picard_opts_dict.get('PLATFORM', 'ILLUMINA'), }] } # Add optional header fields if present if 'PLATFORM_UNIT' in picard_opts_dict: header['RG'][0]['PU'] = picard_opts_dict['PLATFORM_UNIT'] if 'PLATFORM_MODEL' in picard_opts_dict: header['RG'][0]['PM'] = picard_opts_dict['PLATFORM_MODEL'] if 'SEQUENCING_CENTER' in picard_opts_dict: header['RG'][0]['CN'] = picard_opts_dict['SEQUENCING_CENTER'] if 'RUN_DATE' in picard_opts_dict: header['RG'][0]['DT'] = picard_opts_dict['RUN_DATE'] if 'DESCRIPTION' in picard_opts_dict: header['RG'][0]['DS'] = picard_opts_dict['DESCRIPTION'] # Write empty BAM file with pysam with pysam.AlignmentFile(outBam, 'wb', header=header) as outf: pass # No reads to write _log.info("Created empty BAM file with header: %s", outBam) return # Normal case: non-empty FASTQs, call Picard if inFastq2: opts = ['FASTQ=' + inFastq1, 'FASTQ2=' + inFastq2, 'OUTPUT=' + outBam, 'SAMPLE_NAME=' + sampleName] else: opts = ['FASTQ=' + inFastq1, 'OUTPUT=' + outBam, 'SAMPLE_NAME=' + sampleName] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class SortSamTool(PicardTools): subtoolName = 'SortSam' valid_sort_orders = ['unsorted', 'queryname', 'coordinate'] default_sort_order = 'coordinate' def execute( self, inBam, outBam, sort_order=default_sort_order, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221 picardOptions = picardOptions or [] if sort_order not in self.valid_sort_orders: raise Exception("invalid sort order") opts = ['INPUT=' + inBam, 'OUTPUT=' + outBam, 'SORT_ORDER=' + sort_order] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class DownsampleSamTool(PicardTools): subtoolName = 'DownsampleSam' valid_strategies = ['HighAccuracy', 'ConstantMemory', 'Chained'] default_strategy = 'Chained' # ConstantMemory first, then HighAccuracy to get closer to the target probability default_random_seed = 1 # Set to constant int for deterministic results jvmMemDefault = '4g' def execute(self, inBam, outBam, probability, accuracy=None, #Picard default is 1.0E-4 strategy=default_strategy, random_seed=default_random_seed, picardOptions=None, JVMmemory=None): # pylint: disable=W0221 picardOptions = picardOptions or [] JVMmemory = JVMmemory or self.jvmMemDefault if strategy not in self.valid_strategies: raise Exception("invalid subsample strategy: %s" % strategy) if not probability: raise Exception("Probability must be defined") if float(probability) <= 0 or float(probability) > 1: raise Exception("Probability must be in range (0,1]. This value was given: %s" % probability) opts = ['INPUT=' + inBam, 'OUTPUT=' + outBam, 'PROBABILITY=' + str(probability)] if accuracy: opts.extend(['ACCURACY=' + str(accuracy)]) if strategy: opts.extend(['STRATEGY=' + strategy]) if not random_seed: _log.info("No random seed is set for subsample operation; results will be non-deterministic") opts.extend(["RANDOM_SEED=null"]) raise Exception( "Setting RANDOM_SEED=null crashes Picard 1.141, though it may be available when viral-ngs updates to a later version of Picard." ) else: _log.info("Random seed is set for subsample operation; results will be deterministic") opts.extend(['RANDOM_SEED=' + str(random_seed)]) PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) def downsample_to_approx_count( self, inBam, outBam, read_count, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221): samtools_tool = samtools.SamtoolsTool() total_read_count = samtools_tool.count(inBam) if total_read_count == 0: _log.info("Input BAM has no reads. Copying to output.") shutil.copyfile(inBam, outBam) probability = Decimal(int(read_count)) / Decimal(total_read_count) probability = 1 if probability > 1 else probability assert probability >= 0 if probability < 1: # per the Picard docs, HighAccuracy is recommended for read counts <50k strategy = "HighAccuracy" if total_read_count < 50000 else "Chained" _log.info("Setting downsample accuracy to %s based on read count of %s" % (strategy, total_read_count)) self.execute(inBam, outBam, probability, strategy=strategy, accuracy=0.00001, picardOptions=picardOptions, JVMmemory=JVMmemory) else: _log.info("Requested downsample count exceeds number of reads. Including all reads in output.") shutil.copyfile(inBam, outBam) class MergeSamFilesTool(PicardTools): subtoolName = 'MergeSamFiles' def execute(self, inBams, outBam, picardOptions=None, JVMmemory=None, background=None): # pylint: disable=W0221 picardOptions = picardOptions or [] if not any(opt.startswith('USE_THREADING') for opt in picardOptions): picardOptions.append('USE_THREADING=true') opts = ['INPUT=' + bam for bam in inBams] + ['OUTPUT=' + outBam] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory=JVMmemory, background=background) class ReplaceSamHeaderTool(PicardTools): subtoolName = 'ReplaceSamHeader' def execute(self, inBam, headerBam, outBam, picardOptions=None, JVMmemory=None, background=None): # pylint: disable=W0221 opts = ['INPUT=' + inBam, 'HEADER=' + headerBam, 'OUTPUT=' + outBam] PicardTools.execute(self, self.subtoolName, opts, JVMmemory=JVMmemory, background=background) class FilterSamReadsTool(PicardTools): ''' DEPRECATED: This Picard-based tool is deprecated in favor of ReadIdStore.filter_bam_by_ids() in read_utils.py which uses pysam/sqlite with O(1) memory and is significantly faster. This class is retained for backwards compatibility but new code should use ReadIdStore instead. ''' subtoolName = 'FilterSamReads' jvmMemDefault = '4g' def execute(self, inBam, exclude, readList, outBam, picardOptions=None, JVMmemory=None): # pylint: disable=W0221 _log.warning( "DEPRECATED: FilterSamReadsTool is deprecated. " "Use ReadIdStore.filter_bam_by_ids() from read_utils.py instead " "for faster O(1) memory filtering." ) picardOptions = picardOptions or [] if samtools.SamtoolsTool().isEmpty(inBam): # Picard FilterSamReads cannot deal with an empty input BAM file shutil.copyfile(inBam, outBam) elif os.path.getsize(readList) == 0: # Picard FilterSamReads cannot deal with an empty READ_LIST_FILE if exclude: shutil.copyfile(inBam, outBam) else: tmpf = util_file.mkstempfname('.sam') if inBam.endswith('.sam'): # output format (sam/bam) is inferred by samtools based on file extension header = pysam.view('-o', tmpf, '-H', '-S', inBam, catch_stdout=False) else: header = pysam.view('-o', tmpf, '-H', inBam, catch_stdout=False) # pysam.AlignmentFile cannot write an empty file # samtools cannot convert SAM -> BAM on an empty file # but Picard SamFormatConverter can deal with empty files opts = ['INPUT=' + tmpf, 'OUTPUT=' + outBam, 'VERBOSITY=ERROR'] PicardTools.execute(self, 'SamFormatConverter', opts, JVMmemory='50m') else: opts = [ 'INPUT=' + inBam, 'OUTPUT=' + outBam, 'READ_LIST_FILE=' + readList, 'FILTER=' + (exclude and 'excludeReadList' or 'includeReadList'), 'WRITE_READS_FILES=false' ] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class CreateSequenceDictionaryTool(PicardTools): subtoolName = 'CreateSequenceDictionary' jvmMemDefault = '512m' def execute( self, inFasta, outDict=None, overwrite=False, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221 picardOptions = picardOptions or [] if not outDict: if inFasta.lower().endswith('.fa'): outDict = inFasta[:-3] + '.dict' elif inFasta.lower().endswith('.fasta'): outDict = inFasta[:-6] + '.dict' else: raise Exception("bad input") if os.path.isfile(outDict): if overwrite: os.unlink(outDict) else: return with util_file.fastas_with_sanitized_ids(inFasta, use_tmp=False) as sanitized_fastas: opts = ['REFERENCE=' + sanitized_fastas[0], 'OUTPUT=' + outDict] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class BuildBamIndexTool(PicardTools): subtoolName = 'BuildBamIndex' jvmMemDefault = '512m' def execute(self, inBam, picardOptions=None, JVMmemory=None): # pylint: disable=W0221 picardOptions = picardOptions or [] opts = ['INPUT=' + inBam] PicardTools.execute(self, self.subtoolName, opts + picardOptions, JVMmemory) class CollectIlluminaLaneMetricsTool(PicardTools): subtoolName = 'CollectIlluminaLaneMetrics' jvmMemDefault = '8g' defaults = {'read_structure': '101T8B8B101T'} option_list = ( 'read_structure', ) def execute( self, run_dir, output_dir, output_prefix, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221 picardOptions = picardOptions or {} opts_dict = self.defaults.copy() for k, v in picardOptions.items(): opts_dict[k] = v opts = [] for k, v in opts_dict.items(): if v is not None: if type(v) in (list, tuple): for x in v: opts.append('='.join((k.upper(), str(x)))) else: opts.append('='.join((k.upper(), str(v)))) opts += ['RUN_DIRECTORY=' + run_dir] opts += ['OUTPUT_DIRECTORY=' + output_dir] opts += ['OUTPUT_PREFIX=' + output_prefix] PicardTools.execute(self, self.subtoolName, opts, JVMmemory) class ExtractIlluminaBarcodesTool(PicardTools): subtoolName = 'ExtractIlluminaBarcodes' jvmMemDefault = '8g' # minimum_base_quality=20 used to accommodate NovaSeq, which with RTA3 writes only four Q-score values: 2, 12, 23, and 37 defaults = { 'read_structure': '101T8B8B101T', 'max_mismatches': 0, 'minimum_base_quality': 20, 'num_processors': 0 } option_list = ( 'read_structure', 'max_mismatches', 'minimum_base_quality', 'min_mismatch_delta', 'max_no_calls', 'minimum_quality', 'compress_outputs', 'num_processors' ) def execute( self, basecalls_dir, lane, barcode_file, output_dir, metrics, picardOptions=None, JVMmemory=None ): # pylint: disable=W0221 picardOptions = picardOptions or {} opts_dict = self.defaults.copy() for k, v in picardOptions.items(): opts_dict[k] = v opts = [] for k, v in opts_dict.items(): if v is not None: if type(v) in (list, tuple): for x in v: opts.append('='.join((k.upper(), str(x)))) else: opts.append('='.join((k.upper(), str(v)))) opts += [ 'BASECALLS_DIR=' + basecalls_dir, 'LANE=' + str(lane), 'BARCODE_FILE=' + barcode_file, 'METRICS_FILE=' + metrics ] if output_dir is not None: opts += ['OUTPUT_DIR=' + output_dir] PicardTools.execute(self, self.subtoolName, opts, JVMmemory) class AddCommentsToBamTool(PicardTools): # https://broadinstitute.github.io/picard/command-line-overview.html#AddCommentsToBam subtoolName = 'AddCommentsToBam' jvmMemDefault = '8g' def execute(self, inBam, outBam, comments, picardOptions = None, JVMmemory = None ): # pylint: disable=W0221 picardOptions = picardOptions or {} # check that comments are provided if not comments: raise Exception("comments must be provided to AddCommentsToBam ") comments_to_add = [] if type(comments) in (list, tuple, set): # if we have an iterable, check that all comments are strings or can be cast to strings # and have a length > 0 before adding to comments_to_add comments_to_add = [str(comment) for comment in comments if len(str(comment)) > 0] elif type(comments) == str: comments_to_add = [comments] else: raise Exception("comments provided to AddCommentsToBam must be in the form of a string or a list of strings") opts = ['INPUT=' + inBam, 'OUTPUT=' + outBam] for comment in comments_to_add: opts += ['COMMENT=' + comment] PicardTools.execute(self, self.subtoolName, opts, JVMmemory) class IlluminaBasecallsToSamTool(PicardTools): # https://broadinstitute.github.io/picard/command-line-overview.html#IlluminaBasecallsToSam subtoolName = 'IlluminaBasecallsToSam' jvmMemDefault = '7g' defaults = { 'read_structure': '101T8B8B101T', 'adapters_to_check': ('PAIRED_END', 'NEXTERA_V1', 'NEXTERA_V2'), # MAX_READS_IN_RAM_PER_TILE is deprecated in newer versions of Picard in favor of MAX_RECORDS_IN_RAM # commenting out for now until fully removed from picard #'max_reads_in_ram_per_tile': 1000000, 'max_records_in_ram': 2000000, 'num_processors': 0, 'include_non_pf_reads': False, 'compression_level': 7, 'sort': True } option_list = ( 'read_structure', 'sequencing_center', 'adapters_to_check', 'platform', 'max_records_in_ram', 'num_processors', 'apply_eamss_filter', 'force_gc', 'first_tile', 'tile_limit', 'include_non_pf_reads', 'run_start_date', 'read_group_id', 'compression_level', 'sort' ) # pylint: disable=W0221 def execute(self, basecalls_dir, barcodes_dir, read_group_id_precursor, lane, library_params, picardOptions=None, JVMmemory=None ): picardOptions = picardOptions or {} opts_dict = self.defaults.copy() for k, v in picardOptions.items(): opts_dict[k] = v opts = [] for k, v in opts_dict.items(): if v is not None: if type(v) in (list, tuple): for x in v: opts.append('='.join((k.upper(), str(x)))) else: opts.append('='.join((k.upper(), str(v)))) opts += [ 'BASECALLS_DIR=' + basecalls_dir, 'BARCODES_DIR=' + barcodes_dir, 'LANE=' + str(lane), 'RUN_BARCODE=' + read_group_id_precursor, 'LIBRARY_PARAMS=' + library_params ] # MAX_READS_IN_RAM_PER_TILE is deprecated in newer versions of Picard in favor of MAX_RECORDS_IN_RAM # remove from opts; this list comprehension can be removed once MAX_READS_IN_RAM_PER_TILE is removed # from picard opts = [opt for opt in opts if "MAX_READS_IN_RAM_PER_TILE" not in opt] PicardTools.execute(self, self.subtoolName, opts, JVMmemory) def execute_single_sample(self, basecalls_dir, output_file, read_group_id_precursor, # this is a run-specific ID, ex. the flowcell ID lane, sample_alias, picardOptions=None, JVMmemory=None ): picardOptions = picardOptions or {} assert len(read_group_id_precursor) >= 5, "read_group_id_precursor must be >=5 chars per https://github.com/broadinstitute/picard/blob/2.17.6/src/main/java/picard/illumina/IlluminaBasecallsToSam.java#L510" opts_dict = self.defaults.copy() for k, v in picardOptions.items(): opts_dict[k] = v opts = [] for k, v in opts_dict.items(): if v is not None: if type(v) in (list, tuple): for x in v: opts.append('='.join((k.upper(), str(x)))) else: opts.append('='.join((k.upper(), str(v)))) opts += [ 'OUTPUT=' + output_file, 'BASECALLS_DIR=' + basecalls_dir, 'LANE=' + str(lane), 'RUN_BARCODE=' + read_group_id_precursor, # 'SAMPLE_ALIAS=' + sample_alias, 'LIBRARY_NAME=' + sample_alias ] PicardTools.execute(self, self.subtoolName, opts, JVMmemory) # pylint: enable=W0221 ================================================ FILE: src/viral_ngs/core/prinseq.py ================================================ "Tool for prinseq." import logging import os.path import shutil import subprocess from . import samtools, picard # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool, PrexistingUnixCommand TOOL_NAME = "prinseq-lite.pl" log = logging.getLogger(__name__) class PrinseqTool(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(PrinseqTool, self).__init__(install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-version']).decode('UTF-8').strip().split()[1] def rmdup_fastq_single(self, inFastq, outFastq): ''' remove duplicate reads and reads with multiple Ns ''' if os.path.getsize(inFastq) == 0: # prinseq-lite fails on empty file input so handle this scenario specially log.debug("prinseq input is empty") shutil.copyfile(inFastq, outFastq) else: outprefix = util_file.mkstempfname("-prinseq-rmdup-out") cmd = [ 'perl', self.install_and_get_path(), '-verbose', '-ns_max_n', '1', '-derep', '1', '-fastq', inFastq, '-out_bad', 'null', '-line_width', '0', '-out_good', outprefix ] log.debug(' '.join(cmd)) subprocess.check_call(cmd) shutil.copyfile(outprefix+'.fastq', outFastq) os.unlink(outprefix+'.fastq') def rmdup_fastq_paired(self, inFastq1, inFastq2, outFastq1, outFastq2, includeUnmated=False, unpairedOutFastq1=None, unpairedOutFastq2=None): ''' remove duplicate reads and reads with multiple Ns ''' if not os.path.exists(inFastq2) or os.path.getsize(inFastq2) == 0: # input is single-end log.debug("prinseq input is unpaired") util_file.touch(outFastq2) if not includeUnmated: # excluding unmated on unpaired input implies no output util_file.touch(outFastq1) else: self.rmdup_fastq_single(inFastq1, outFastq1) elif os.path.getsize(inFastq1) == 0: # prinseq-lite fails on empty file input so handle this scenario specially log.debug("prinseq input is empty") util_file.touch(outFastq1) util_file.touch(outFastq2) else: outprefix = util_file.mkstempfname("-prinseq-rmdup-out") cmd = [ 'perl', self.install_and_get_path(), '-verbose', '-ns_max_n', '1', '-derep', '1', '-fastq', inFastq1, '-fastq2', inFastq2, '-out_bad', 'null', '-line_width', '0', '-out_good', outprefix ] log.debug(' '.join(cmd)) subprocess.check_call(cmd) for fn in (outprefix+'_1.fastq', outprefix+'_1_singletons.fastq', outprefix+'_2.fastq', outprefix+'_2_singletons.fastq'): # if any of the four output files is empty, prinseq doesn't create it at all, which is bad for us util_file.touch(fn) # if the user desires the unmated reads to be included in the output fastqs if includeUnmated: util_file.cat(outFastq1, (outprefix+'_1.fastq', outprefix+'_1_singletons.fastq')) util_file.cat(outFastq2, (outprefix+'_2.fastq', outprefix+'_2_singletons.fastq')) else: shutil.copyfile(outprefix+'_1.fastq', outFastq1) shutil.copyfile(outprefix+'_2.fastq', outFastq2) # if a path is specified for the unmated reads if unpairedOutFastq1 is not None: shutil.copyfile(outprefix+'_1_singletons.fastq', unpairedOutFastq1) if unpairedOutFastq2 is not None: shutil.copyfile(outprefix+'_2_singletons.fastq', unpairedOutFastq2) os.unlink(outprefix+'_1.fastq') os.unlink(outprefix+'_2.fastq') os.unlink(outprefix+'_1_singletons.fastq') os.unlink(outprefix+'_2_singletons.fastq') ================================================ FILE: src/viral_ngs/core/priorities.py ================================================ #!/usr/bin/env python3 """ Mask initial bases from alignment FASTA """ import argparse from random import shuffle from collections import defaultdict import Bio import numpy as np from Bio.SeqIO.FastaIO import SimpleFastaParser from Bio.Seq import Seq from Bio import AlignIO, SeqIO from scipy import sparse def compactify_sequences(sparse_matrix, sequence_names): sequence_groups = defaultdict(list) for s, snps in zip(sequence_names, sparse_matrix): ind = snps.nonzero() vals = np.array(snps[ind]) if len(ind[1]): sequence_groups[tuple(zip(ind[1], vals[0]))].append(s) else: sequence_groups[tuple()].append(s) return sequence_groups INITIALISATION_LENGTH = 1000000 def sequence_to_int_array(s, fill_value=110, fill_gaps=True): seq = np.frombuffer(str(s).lower().encode('utf-8'), dtype=np.int8).copy() if fill_gaps: seq[(seq!=97) & (seq!=99) & (seq!=103) & (seq!=116)] = fill_value else: seq[(seq!=97) & (seq!=99) & (seq!=103) & (seq!=116) & (seq!=45)] = fill_value return seq # Function adapted from https://github.com/gtonkinhill/pairsnp-python def calculate_snp_matrix(fastafile, consensus=None, zipped=False, fill_value=110): # This function generate a sparse matrix where differences to the consensus are coded as integers. row = np.empty(INITIALISATION_LENGTH) col = np.empty(INITIALISATION_LENGTH, dtype=np.int64) val = np.empty(INITIALISATION_LENGTH, dtype=np.int8) r = 0 n_snps = 0 nseqs = 0 seq_names = [] filled_positions = [] current_length = INITIALISATION_LENGTH if zipped: fh = gzip.open(fastafile, 'rt') else: fh = open(fastafile, 'rt') with fh as fasta: for h,s in SimpleFastaParser(fasta): if consensus is None: align_length = len(s) # Take consensus as first sequence consensus = sequence_to_int_array(s, fill_value=fill_value) else: align_length = len(consensus) nseqs +=1 seq_names.append(h) if(len(s)!=align_length): raise ValueError('Fasta file appears to have sequences of different lengths!') s = sequence_to_int_array(s, fill_value=fill_value) snps = (consensus!=s) & (s!=fill_value) right = n_snps + np.sum(snps) filled_positions.append(np.where(s==fill_value)[0]) if right >= (current_length/2): current_length = current_length + INITIALISATION_LENGTH row.resize(current_length) col.resize(current_length) val.resize(current_length) row[n_snps:right] = r col[n_snps:right] = np.flatnonzero(snps) val[n_snps:right] = s[snps] r += 1 n_snps = right fh.close() if nseqs==0: raise ValueError('No sequences found!') row = row[0:right] col = col[0:right] val = val[0:right] sparse_snps = sparse.csc_matrix((val, (row, col)), shape=(nseqs, align_length)) return {'snps': sparse_snps, 'consensus': consensus, 'names': seq_names, 'filled_positions': filled_positions} # Function adapted from https://github.com/gtonkinhill/pairsnp-python def calculate_distance_matrix(sparse_matrix_A, sparse_matrix_B, consensus): n_seqs_A = sparse_matrix_A.shape[0] n_seqs_B = sparse_matrix_B.shape[0] d = (1*(sparse_matrix_A==97)) * (sparse_matrix_B.transpose()==97) d = d + (1*(sparse_matrix_A==99) * (sparse_matrix_B.transpose()==99)) d = d + (1*(sparse_matrix_A==103) * (sparse_matrix_B.transpose()==103)) d = d + (1*(sparse_matrix_A==116) * (sparse_matrix_B.transpose()==116)) d = d.todense() n_comp = (1*(sparse_matrix_A==110) * ((sparse_matrix_B==110).transpose())).todense() d = d + n_comp temp_total = np.zeros((n_seqs_A, n_seqs_B)) temp_total[:] = (1*(sparse_matrix_A>0)).sum(1) temp_total += (1*(sparse_matrix_B>0)).sum(1).transpose() total_differences_shared = (1*(sparse_matrix_A>0)) * (sparse_matrix_B.transpose()>0) n_total = np.zeros((n_seqs_A, n_seqs_B)) n_sum = (1*(sparse_matrix_A==110)).sum(1) n_total[:] = n_sum n_total += (1*(sparse_matrix_B==110)).sum(1).transpose() diff_n = n_total - 2*n_comp d = temp_total - total_differences_shared.todense() - d - diff_n return d if __name__ == '__main__': parser = argparse.ArgumentParser( description="generate priorities files based on genetic proximity to focal sample", formatter_class=argparse.ArgumentDefaultsHelpFormatter ) parser.add_argument("--alignment", type=str, required=True, help="FASTA file of alignment") parser.add_argument("--reference", type = str, required=True, help="reference sequence") parser.add_argument("--metadata", type = str, required=True, help="metadata") parser.add_argument("--focal-alignment", type = str, required=True, help="focal smaple of sequences") parser.add_argument("--output", type=str, required=True, help="FASTA file of output alignment") args = parser.parse_args() # load entire alignment and the alignment of focal sequences (upper case -- probably not necessary) ref = sequence_to_int_array(SeqIO.read(args.reference, 'genbank').seq) context_seqs_dict = calculate_snp_matrix(args.alignment, consensus=ref) focal_seqs_dict = calculate_snp_matrix(args.focal_alignment, consensus = ref) alignment_length = len(ref) print("Done reading the alignments.") # calculate number of masked sites in either set mask_count_focal = np.array([len(x) for x in focal_seqs_dict['filled_positions']]) mask_count_context = {s: len(x) for s,x in zip(context_seqs_dict['names'], context_seqs_dict['filled_positions'])} # for each context sequence, calculate minimal distance to focal set, weigh with number of N/- to pick best sequence d = np.array(calculate_distance_matrix(context_seqs_dict['snps'], focal_seqs_dict['snps'], consensus = context_seqs_dict['consensus'])) closest_match = np.argmin(d+mask_count_focal/alignment_length, axis=1) print("Done finding closest matches.") minimal_distance_to_focal_set = {} for context_index, focal_index in enumerate(closest_match): minimal_distance_to_focal_set[context_seqs_dict['names'][context_index]] = (d[context_index, focal_index], focal_seqs_dict["names"][focal_index]) # for each focal sequence with close matches (using the index), we list all close contexts close_matches = defaultdict(list) for seq in minimal_distance_to_focal_set: close_matches[minimal_distance_to_focal_set[seq][1]].append(seq) for f in close_matches: shuffle(close_matches[f]) close_matches[f].sort(key=lambda x: minimal_distance_to_focal_set[x][0] + mask_count_context[x]/alignment_length) # export priorities with open(args.output, 'w') as fh: for i, seqid in enumerate(context_seqs_dict['names']): # use distance as negative priority # penalize masked (N or -) -- 333 masked sites==one mutations # penalize if many sequences are close to the same focal one by using the index of the shuffled list of neighbours # currently each position in this lists reduced priority by 0.2, i.e. 5 other sequences == one mutation position = close_matches[minimal_distance_to_focal_set[seqid][1]].index(seqid) priority = -minimal_distance_to_focal_set[seqid][0] - 0.1*position fh.write(f"{seqid}\t{priority:1.2f}\n") ================================================ FILE: src/viral_ngs/core/sambamba.py ================================================ ''' Sambamba - high-performance BAM processing tool. Sambamba is a tool for processing BAM files that provides multi-threaded implementations of common operations like sorting, indexing, merging, and duplicate marking. It is significantly faster than single-threaded alternatives like Picard for many operations. https://github.com/biod/sambamba ''' import logging import os import re import shutil import subprocess from . import samtools, picard # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool, PrexistingUnixCommand TOOL_NAME = 'sambamba' log = logging.getLogger(__name__) class SambambaTool(Tool): """Tool wrapper for sambamba - high-performance SAM/BAM processing""" def __init__(self, install_methods=None): if install_methods is None: install_methods = [ PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True) ] super(SambambaTool, self).__init__(install_methods=install_methods) def _get_tool_version(self): output = subprocess.check_output( [self.install_and_get_path(), '--version'], stderr=subprocess.STDOUT ).decode('UTF-8') # Parse version from output like "sambamba 1.0.1" match = re.search(r'sambamba\s+(\d+\.\d+\.\d+)', output) if match: self.tool_version = match.group(1) else: # Fallback: try to get first version-like string for line in output.split('\n'): if 'sambamba' in line.lower(): parts = line.split() for part in parts: if re.match(r'\d+\.\d+', part): self.tool_version = part return self.tool_version = 'unknown' def execute(self, command, args, stdout=None, stderr=None): """Execute a sambamba subcommand with arguments""" tool_cmd = [self.install_and_get_path(), command] + [str(a) for a in args] log.debug(' '.join(tool_cmd)) stdout_fh = open(stdout, 'w') if stdout else None stderr_fh = open(stderr, 'w') if stderr else None try: subprocess.check_call(tool_cmd, stdout=stdout_fh, stderr=stderr_fh) finally: if stdout_fh: stdout_fh.close() if stderr_fh: stderr_fh.close() def sort(self, inBam, outBam, sort_order='coordinate', threads=None): """ Sort a BAM file. Args: inBam: Input BAM file path outBam: Output sorted BAM file path sort_order: 'coordinate' (default) or 'queryname' threads: Number of threads to use (default: auto) """ threads = util_misc.sanitize_thread_count(threads) args = [] # Thread count args.extend(['-t', str(threads)]) # Sort order: -n for queryname, default is coordinate if sort_order == 'queryname': args.append('-n') elif sort_order != 'coordinate': raise ValueError(f"Invalid sort_order: {sort_order}. Must be 'coordinate' or 'queryname'") # Output file args.extend(['-o', outBam]) # Input file args.append(inBam) self.execute('sort', args) def index(self, inBam, threads=None): """ Create an index (.bai) for a coordinate-sorted BAM file. Sambamba creates {inBam}.bai by default (e.g., sample.bam.bai). We rename it to match the expected convention of {basename}.bai (e.g., sample.bai) for compatibility with WDL workflows. Args: inBam: Input BAM file path (must be coordinate-sorted) threads: Number of threads to use (default: auto) """ threads = util_misc.sanitize_thread_count(threads) args = ['-t', str(threads), inBam] self.execute('index', args) # Sambamba creates .bam.bai, rename to .bai for compatibility bam_bai = inBam + '.bai' expected_bai = inBam[:-4] + '.bai' # sample.bam -> sample.bai if os.path.exists(bam_bai) and bam_bai != expected_bai: shutil.move(bam_bai, expected_bai) def merge(self, inBams, outBam, threads=None): """ Merge multiple sorted BAM files into a single BAM file. NOTE: This function is currently disabled due to a segfault bug in sambamba 1.0.1 merge. Use samtools merge or Picard MergeSamFiles instead. Args: inBams: List of input BAM file paths (must be coordinate-sorted) outBam: Output merged BAM file path threads: Number of threads to use (default: auto) Raises: NotImplementedError: Always raised - sambamba merge has a known bug """ raise NotImplementedError( "sambamba merge is disabled due to a segfault bug in sambamba 1.0.1. " "Use samtools merge or Picard MergeSamFiles instead." ) def flagstat(self, inBam, threads=None): """ Get alignment statistics from a BAM file. Args: inBam: Input BAM file path threads: Number of threads to use (default: auto) Returns: Dictionary with parsed flagstat statistics """ threads = util_misc.sanitize_thread_count(threads) args = ['-t', str(threads), inBam] # Capture output tool_cmd = [self.install_and_get_path(), 'flagstat'] + [str(a) for a in args] log.debug(' '.join(tool_cmd)) output = subprocess.check_output(tool_cmd).decode('UTF-8') return self._parse_flagstat(output) def _parse_flagstat(self, output): """ Parse sambamba flagstat output into a dictionary. The output format is similar to samtools flagstat: 123 + 0 in total (QC-passed reads + QC-failed reads) 0 + 0 secondary ... """ stats = {} for line in output.strip().split('\n'): if not line.strip(): continue # Parse lines like "123 + 0 in total..." match = re.match(r'(\d+)\s*\+\s*(\d+)\s+(.*)', line) if match: passed = int(match.group(1)) failed = int(match.group(2)) description = match.group(3).strip() # Create clean key from description if 'in total' in description: key = 'total' elif 'secondary' in description: key = 'secondary' elif 'supplementary' in description: key = 'supplementary' elif 'duplicates' in description: key = 'duplicates' elif 'mapped' in description and 'mate' not in description: key = 'mapped' elif 'paired in sequencing' in description: key = 'paired' elif 'read1' in description: key = 'read1' elif 'read2' in description: key = 'read2' elif 'properly paired' in description: key = 'properly_paired' elif 'with itself and mate mapped' in description: key = 'both_mapped' elif 'singletons' in description: key = 'singletons' elif 'mate mapped to a different chr' in description: if 'mapQ>=5' in description: key = 'mate_diff_chr_mapq5' else: key = 'mate_diff_chr' else: # Fallback: use cleaned description as key key = re.sub(r'[^a-z0-9]+', '_', description.lower()).strip('_') stats[key] = passed stats[f'{key}_qcfailed'] = failed return stats def markdup(self, inBam, outBam, remove_duplicates=False, threads=None, hash_table_size=None, overflow_list_size=None): """ Mark or remove duplicate reads using sambamba markdup. Args: inBam: Input BAM file (must be coordinate-sorted) outBam: Output BAM file remove_duplicates: If True, remove duplicates; if False, mark them (default: False) threads: Number of threads to use (default: auto) hash_table_size: Size of hash table for finding read pairs (optional) overflow_list_size: Size of overflow list (optional) """ threads = util_misc.sanitize_thread_count(threads) args = [] # Remove duplicates flag if remove_duplicates: args.append('-r') # Thread count args.extend(['-t', str(threads)]) # Optional tuning parameters if hash_table_size: args.extend(['--hash-table-size', str(hash_table_size)]) if overflow_list_size: args.extend(['--overflow-list-size', str(overflow_list_size)]) # Input and output files args.append(inBam) args.append(outBam) self.execute('markdup', args) ================================================ FILE: src/viral_ngs/core/samtools.py ================================================ ''' The Samtools package. TO DO: much of this stuff can be all eliminated by using pysam instead, as pysam (in its current versions) is meant to be the complete python implementation of htslib/samtools. http://pysam.readthedocs.org/en/latest/usage.html#using-samtools-commands-within-python Current bug with pysam 0.8.1: nosetests does not work unless you use --nocapture. python -m unittest works. Something about redirecting stdout. Actually, Travis CI still has issues with pysam and stdout even with --nocapture. pysam 0.9.1 stops redirecting stdout which makes things much easier, but it's a pain to pip install. ''' import logging import shutil import os import re import os.path import subprocess import tempfile import contextlib from collections import OrderedDict from decimal import * import pysam from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool, PrexistingUnixCommand TOOL_NAME = 'samtools' log = logging.getLogger(__name__) class SamtoolsTool(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(SamtoolsTool, self).__init__(install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '--version']).decode('UTF-8').split('\n')[0].split()[1] def execute(self, command, args, stdout=None, stderr=None, background=False): # pylint: disable=W0221 tool_cmd = [self.install_and_get_path(), command] + args log.debug(' '.join(tool_cmd)) if stdout: stdout = open(stdout, 'w') if stderr: stderr = open(stderr, 'w') env = os.environ.copy() env.pop('JAVA_HOME', None) if background: subprocess.Popen(tool_cmd, stdout=stdout, stderr=stderr, env=env) else: subprocess.check_call(tool_cmd, stdout=stdout, stderr=stderr, env=env) if stdout: stdout.close() if stderr: stderr.close() def view(self, args, inFile, outFile, regions=None, threads=None, background=False): regions = regions or [] args = args or [] # -@ seems to result in segfaults in some cases # so this is commented out for now... self.execute('view', args + ['-o', outFile, inFile] + regions, background=background) #opts = args + ['-o', outFile, inFile] + regions #pysam.view(*opts) def bam2fq(self, inBam, outFq1, outFq2=None): if outFq2 is None: self.execute('bam2fq', ['-n', inBam], stdout=outFq1) else: self.execute('bam2fq', ['-1', outFq1, '-2', outFq2, inBam]) def bam2fq_pipe(self, inBam, threads=None): tool_cmd = [self.install_and_get_path(), 'bam2fq'] if threads is not None: tool_cmd.extend(['-@', str(threads)]) tool_cmd.extend(['-n', inBam]) log.debug(' '.join(tool_cmd) + ' |') p = subprocess.Popen(tool_cmd, stdout=subprocess.PIPE) return p def bam2fa(self, inBam, outFa1, outFa2=None, outFa0=None, append_mate_num=False): if outFa2 is None: args = ['-N' if append_mate_num else '-n'] else: args = ['-1', outFa1, '-2', outFa2] if outFa0: args += ['-0', outFa0] args += [inBam] if outFa2 is None: self.execute('fasta', args, stdout=outFa1) else: self.execute('fasta', args) def bam2fa_pipe(self, inBam): tool_cmd = [self.install_and_get_path(), 'fasta', '-n', inBam] log.debug(' '.join(tool_cmd) + ' |') p = subprocess.Popen(tool_cmd, stdout=subprocess.PIPE) return p.stdout @contextlib.contextmanager def bam2fq_tmp(self, inBam): with util_file.tempfnames(('.1.fq', '.2.fq')) as (reads1, reads2): self.bam2fq(inBam, reads1, reads2) yield reads1, reads2 @contextlib.contextmanager def bam2fa_tmp(self, inBam): with util_file.tempfnames(('.1.fa', '.2.fa')) as (reads1, reads2): self.bam2fa(inBam, reads1, reads2) yield reads1, reads2 def import_fastq(self, inFastq1, inFastq2, outBam, sample_name, library_name=None, platform='illumina', read_group_id=None, platform_unit=None, sequencing_center=None, run_date=None, threads=None): """ Convert paired FASTQ files to unaligned BAM using samtools import. Multi-threaded alternative to Picard FastqToSam with 3-4x speedup. Args: inFastq1: R1 FASTQ file path inFastq2: R2 FASTQ file path (can be None for single-end) outBam: Output BAM file path sample_name: Sample name (SM tag, required) library_name: Library name (LB tag, defaults to sample_name) platform: Sequencing platform (PL tag, default: 'illumina') read_group_id: Read group ID (ID tag, defaults to 'A') platform_unit: Platform unit (PU tag, e.g., flowcell.lane.barcode) sequencing_center: Sequencing center (CN tag) run_date: Run date in ISO format (DT tag) threads: Number of threads for compression (default: auto) """ # Handle empty FASTQ edge case if self._is_fastq_empty(inFastq1): log.warning("FASTQ1 file is empty; creating empty BAM file: %s", outBam) self._create_empty_bam_with_header( outBam, sample_name, library_name, platform, read_group_id, platform_unit, sequencing_center, run_date ) return # Build read group string rg_id = read_group_id or 'A' lib_name = library_name or sample_name rg_parts = [f'@RG', f'ID:{rg_id}', f'SM:{sample_name}', f'LB:{lib_name}', f'PL:{platform}'] if platform_unit: rg_parts.append(f'PU:{platform_unit}') if sequencing_center: rg_parts.append(f'CN:{sequencing_center}') if run_date: rg_parts.append(f'DT:{run_date}') rg_string = '\t'.join(rg_parts) # Build command args = ['-r', rg_string] # Add threading if specified if threads: args.extend(['-@', str(threads)]) # Add input files args.extend(['-1', inFastq1]) if inFastq2 and not self._is_fastq_empty(inFastq2): args.extend(['-2', inFastq2]) # Add output args.extend(['-o', outBam]) self.execute('import', args) def _is_fastq_empty(self, fastq_file): """ Check if a FASTQ file is semantically empty (contains no reads). Args: fastq_file: Path to FASTQ file Returns: bool: True if file is empty, False if it contains data """ if not fastq_file or not os.path.exists(fastq_file): return True # Large files are assumed to be non-empty if os.path.getsize(fastq_file) > 1024: return False # Small files: check if they contain only whitespace with util_file.open_or_gzopen(fastq_file, 'r') as f: return len(f.read().strip()) == 0 def _create_empty_bam_with_header(self, outBam, sample_name, library_name=None, platform='illumina', read_group_id=None, platform_unit=None, sequencing_center=None, run_date=None): """ Create an empty BAM file with a proper header including RG tags. Args: outBam: Output BAM file path sample_name: Sample name (SM tag) library_name: Library name (LB tag, defaults to sample_name) platform: Sequencing platform (PL tag) read_group_id: Read group ID (ID tag, defaults to 'A') platform_unit: Platform unit (PU tag) sequencing_center: Sequencing center (CN tag) run_date: Run date in ISO format (DT tag) """ rg_id = read_group_id or 'A' lib_name = library_name or sample_name header = { 'HD': {'VN': '1.6', 'SO': 'queryname'}, 'RG': [{ 'ID': rg_id, 'SM': sample_name, 'LB': lib_name, 'PL': platform, }] } # Add optional fields if present if platform_unit: header['RG'][0]['PU'] = platform_unit if sequencing_center: header['RG'][0]['CN'] = sequencing_center if run_date: header['RG'][0]['DT'] = run_date # Write empty BAM file with pysam with pysam.AlignmentFile(outBam, 'wb', header=header) as outf: pass # No reads to write log.info("Created empty BAM file with header: %s", outBam) def sort(self, inFile, outFile, args=None, threads=None): # inFile can be .sam, .bam, .cram # outFile can be .sam, .bam, .cram args = args or [] if '-@' not in args: args.extend(('-@', str(util_misc.sanitize_thread_count(threads)))) if '-T' not in args and os.path.isdir(tempfile.tempdir): args.extend(('-T', tempfile.tempdir)) args.extend(('-o', outFile, inFile)) self.execute('sort', args) def merge(self, inFiles, outFile, options=None): "Merge a list of inFiles to create outFile." options = options or ['-f'] # We are using -f for now because mkstempfname actually makes an empty # file, and merge fails with that as output target without the -f. # When mkstempfname is fixed, we should remove the -f. self.execute('merge', options + [outFile] + inFiles) def index(self, inBam, threads=None): # inBam can be .bam or .cram args = [] if threads: threads = util_misc.sanitize_thread_count(threads) args.extend(['-@', str(threads)]) args.append(inBam) self.execute('index', args) def faidx(self, inFasta, overwrite=False): ''' Index reference genome for samtools ''' outfname = inFasta + '.fai' if os.path.isfile(outfname): if overwrite: os.unlink(outfname) else: return #pysam.faidx(inFasta) with util_file.fastas_with_sanitized_ids(inFasta, use_tmp=True) as sanitized_fastas: sanitized_fasta = sanitized_fastas[0] self.execute('faidx', [sanitized_fasta]) shutil.copyfile(sanitized_fasta + '.fai', outfname) def depth(self, inBam, outFile, options=None): """ Write a TSV file with coverage depth by position """ options = options or ["-aa", "-m", "1000000"] self.execute('depth', options + [inBam], stdout=outFile) def idxstats(self, inBam, statsFile, threads=None): args = [] if threads: threads = util_misc.sanitize_thread_count(threads) args.extend(['-@', str(threads)]) args.append(inBam) self.execute('idxstats', args, stdout=statsFile) def reheader(self, inBam, headerFile, outBam): self.execute('reheader', [headerFile, inBam], stdout=outBam) def dumpHeader(self, inBam, outHeader): opts = [] if inBam.endswith('.bam'): opts = ['-H'] elif inBam.endswith('.sam'): opts = ['-H', '-S'] #header = pysam.view(*opts) self.view(opts, inBam, outHeader) def removeDoublyMappedReads(self, inBam, outBam): #opts = ['-b', '-f 2'] opts = ['-b', '-F' '1028', '-f', '2', '-@', '3'] self.view(opts, inBam, outBam) def filter_to_proper_primary_mapped_reads(self, inBam, outBam, require_pairs_to_be_proper=True, reject_singletons=True, reject_duplicates=True): ''' This function writes a bam file filtered to include only reads that are: - not flagged as duplicates - not secondary or supplementary (split/chimeric reads) - For paired-end reads: - marked as proper pair (if require_pairs_to_be_proper=True) OR both not unmapped (if require_pairs_to_be_proper=False) OR not a member of a pair with a singleton (if reject_singletons=True) - For single-end reads: mapped ''' with pysam.AlignmentFile(inBam, 'rb', check_sq=False) as inb: with pysam.AlignmentFile(outBam, 'wb', header=inb.header) as outf: # process the lines individually and write them or not, depending on the flags # For explanation of flags, see: # https://broadinstitute.github.io/picard/explain-flags.html # https://pysam.readthedocs.io/en/latest/api.html # https://samtools.github.io/hts-specs/SAMv1.pdf # https://github.com/pysam-developers/pysam/blob/31183d7fac52b529b304bdf61ff933818ae4a71f/samtools/stats.c#L72-L81 for read in inb: # check if a read is paired is_single_end=not read.is_paired # if a PCR/optical duplicate, do not write if reject_duplicates and read.is_duplicate: continue # if a read is a secondary or supplementary mapping (split/chimeric), do not write if read.is_secondary or read.is_supplementary: continue # do not write if # paired-end if (read.is_paired and # reject anything not marked as proper pair (this bit is not guaranteed) (require_pairs_to_be_proper and not read.is_proper_pair) or # reject pairs where both mates are unmapped (read.mate_is_unmapped and read.is_unmapped) or # reject reads where only one mate is mapped (singletons) (reject_singletons and (read.mate_is_unmapped or read.is_unmapped))): continue if is_single_end and read.is_unmapped: # or if this is single-end and unmapped, reject continue # otherwise write the read to the output outf.write(read) def filterByCigarString(self, inBam, outBam, regexToMatchForRemoval='^((?:[0-9]+[ID]){1}(?:[0-9]+[MNIDSHPX=])+)|((?:[0-9]+[MNIDSHPX=])+(?:[0-9]+[ID]){1})$', invertResult=False): ''' This function applies a regex to the cigar string for each read. If the regex matches, the read is not written to the output unless invertResult is True. The default regex matches cigar strings with trailing or leading indels: '^((?:[0-9]+[ID]){1}(?:[0-9]+[MNIDSHPX=])+)|((?:[0-9]+[MNIDSHPX=])+(?:[0-9]+[ID]){1})$' ''' regex = re.compile(regexToMatchForRemoval) with pysam.AlignmentFile(inBam, 'rb', check_sq=False) as inb: with pysam.AlignmentFile(outBam, 'wb', header=inb.header) as outf: # process the lines individually and write them or not, depending on # whether they match regexToMatchForRemoval for read in inb: if read.cigarstring: # perform a regex match matches = regex.search(read.cigarstring) # if the regex was found (or not, if inverted) if (not invertResult and matches) or (invertResult and not matches): # continue to the next read (don't write out this one) continue else: if invertResult: continue # otherwise write out the line outf.write(read) def downsample(self, inBam, outBam, probability): if not probability: raise Exception("Probability must be defined") if float(probability) <= 0 or float(probability) > 1: raise Exception("Probability must be in range (0,1]. This value was given: %s" % probability) opts = ['-s', str(1) + '.' + str(probability).split('.')[1], '-@', '3'] # -s subsamples: seed.fraction self.view(opts, inBam, outBam) def downsample_to_approx_count(self, inBam, outBam, read_count): total_read_count = self.count(inBam) probability = Decimal(int(read_count)) / Decimal(total_read_count) probability = 1 if probability > 1 else probability if probability < 1: self.downsample(inBam, outBam, probability) else: _log.info("Requested downsample count exceeds number of reads. Including all reads in output.") shutil.copyfile(inBam, outBam) def getHeader(self, inBam): ''' fetch BAM header as a list of tuples (already split on tabs) ''' tmpf = util_file.mkstempfname('.txt') self.dumpHeader(inBam, tmpf) with open(tmpf, 'rb') as inf: header = list(line.decode("latin-1").rstrip('\n').split('\t') for line in inf) os.unlink(tmpf) return header def getReadGroups(self, inBam): ''' fetch all read groups from the BAM header as an OrderedDict of RG ID -> RG dict. The RG dict is a mapping of read group keyword (like ID, DT, PU, LB, SM, CN, PL, etc) to value. ID is included and not stripped out. ID is required for all read groups. Resulting keys are in same order as @RG lines in bam file. ''' rgs = [ dict(x.split(':', 1) for x in row[1:]) for row in self.getHeader(inBam) if len(row) > 0 and row[0] == '@RG' ] return OrderedDict((rg['ID'], rg) for rg in rgs) def count(self, inBam, opts=None, regions=None): opts = opts or [] regions = regions or [] cmd = [self.install_and_get_path(), 'view', '-c'] + opts + [inBam] + regions return int(subprocess.check_output(cmd).strip()) #if inBam.endswith('.sam') and '-S' not in opts: # opts = ['-S'] + opts #cmd = ['-c'] + opts + [inBam] + regions #return int(pysam.view(*cmd)[0].strip()) def mpileup(self, inBam, outPileup, opts=None): opts = opts or [] self.execute('mpileup', opts + [inBam], stdout=outPileup, stderr='/dev/null') # Suppress info messages def isEmpty(self, inBam): if not os.path.isfile(inBam): return True else: tmpf = util_file.mkstempfname('.txt') self.dumpHeader(inBam, tmpf) header_size = os.path.getsize(tmpf) if (os.path.getsize(inBam) > (100 + 5 * header_size)): # large BAM file: assume it is not empty # a BAM file definitely has reads in it if its filesize is larger # than just the header itself return False else: # small BAM file: just count and see if it's non-zero return (0 == self.count(inBam)) ================================================ FILE: src/viral_ngs/core/splitcode.py ================================================ import csv import glob import json import logging import os import shutil import subprocess import tempfile import matplotlib.pyplot as plt import numpy as np import pandas as pd from . import samtools, picard # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool, PrexistingUnixCommand TOOL_NAME = 'splitcode' log = logging.getLogger(__name__) class SplitCodeTool(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(SplitCodeTool, self).__init__(install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '--version']).decode('UTF-8').strip() def execute( self, n_fastqs, threads, config_file, keep_file, unassigned_r1, unassigned_r2, summary_stats, r1, r2, splitcode_opts=None, gzip_output=False, keep_r1_r2_suffixes=True, predemux_r1_trim_5prime_num_bp=None, predemux_r1_trim_3prime_num_bp=None, predemux_r2_trim_5prime_num_bp=None, predemux_r2_trim_3prime_num_bp=None ): """ Execute the splitcode command with the provided parameters. :param n_fastqs: Number of FASTQ files (e.g., 2 for paired-end reads). :param threads: Number of threads to use. :param config_file: Path to the configuration file. :param keep_file: Path to the keep file. :param unassigned_r1: Path for unassigned R1 reads. :param unassigned_r2: Path for unassigned R2 reads. :param summary_stats: Path to the summary statistics file. :param r1: Input FASTQ file for R1 reads. :param r2: Input FASTQ file for R2 reads. :param splitcode_opts: additional parameters to pass to splitcode """ splitcode_opts = splitcode_opts or [] # documentation: # https://splitcode.readthedocs.io/en/latest/reference_guide.html#command-line-config-optional tool_cmd = [ self.install_and_get_path(), f"--nFastqs={n_fastqs}", f"-t", str(threads), f"-c", config_file, f"--keep={keep_file}", f"--unassigned={unassigned_r1},{unassigned_r2}", f"--summary", summary_stats ] if gzip_output and "--gzip" not in splitcode_opts: tool_cmd.append("--gzip") if keep_r1_r2_suffixes and "--keep-r1-r2" not in splitcode_opts: tool_cmd.append("--keep-r1-r2") if predemux_r1_trim_3prime_num_bp or predemux_r2_trim_3prime_num_bp: r1_3prime_bp_to_remove = predemux_r1_trim_3prime_num_bp or 0 r2_3prime_bp_to_remove = predemux_r2_trim_3prime_num_bp or 0 tool_cmd.extend(["--trim-3", f"{r1_3prime_bp_to_remove},{r2_3prime_bp_to_remove}"]) if predemux_r1_trim_5prime_num_bp or predemux_r2_trim_5prime_num_bp: r1_5prime_bp_to_remove = predemux_r1_trim_5prime_num_bp or 0 r2_5prime_bp_to_remove = predemux_r2_trim_5prime_num_bp or 0 tool_cmd.extend(["--trim-5", f"{r1_5prime_bp_to_remove},{r2_5prime_bp_to_remove}"]) tool_cmd.extend(splitcode_opts) tool_cmd.extend([r1,r2]) log.debug('Running splitcode with command: %s', ' '.join(tool_cmd)) try: return subprocess.check_call(tool_cmd) except subprocess.CalledProcessError as e: log.error(f'Splitcode failed with return code {e.returncode}') log.error(f'Command was: {" ".join(tool_cmd)}') raise def check_installation(self): """Ensure the tool is properly installed.""" if not shutil.which(TOOL_NAME): raise FileNotFoundError(f"{TOOL_NAME} is not installed or not in PATH.") def run_splitcode(self, **kwargs): """ Wrapper method to execute the splitcode command with named parameters. Expected kwargs: - n_fastqs, threads, config_file, keep_file, unassigned_r1, unassigned_r2, summary_stats, r1, r2 """ self.execute( kwargs.get('n_fastqs', 2), kwargs.get('threads', 1), kwargs['config_file'], kwargs['keep_file'], kwargs['unassigned_r1'], kwargs['unassigned_r2'], kwargs['summary_stats'], kwargs['r1'], kwargs['r2'] ) # ================== # *** Splitcode helper functions *** # ================== def create_splitcode_lookup_table(sample_sheet_or_dataframe, csv_out, unmatched_name, pool_ids=None, append_run_id=None, check_sample_sheet_consistency=False): """ Create a lookup table (LUT) consolidating splitcode demux results with sample metadata. After splitcode demultiplexes pooled samples by inner barcodes (barcode_3), this function reads the splitcode summary JSON files, joins them with the sample sheet, and creates a unified CSV mapping samples to barcodes to read counts. This LUT is used by downstream plotting and metrics functions. The function performs 3-barcode demux integration by: 1. Loading sample sheet with all barcode mappings (barcode_1, barcode_2, barcode_3) 2. Building pool identifiers from outer barcode pairs (barcode_1 + barcode_2) 3. Loading splitcode summary JSONs for each pool 4. Extracting read counts at Hamming distance 0 (perfect match) and 1 (1-mismatch) 5. Joining splitcode counts with sample metadata based on run identifiers 6. Creating unmatched read entries for reads that didn't match any barcode 7. Outputting a CSV with unified sample-to-barcode-to-count mappings Parameters ---------- sample_sheet_or_dataframe : str or pd.DataFrame Either: - Path to TSV file with barcode mappings (str), OR - DataFrame from SampleSheet.inner_demux_mapper() (pd.DataFrame) If DataFrame, must already contain columns: - barcode_1, barcode_2, barcode_3, sample, library_id_per_sample - run: Sample run identifier (sample.lLibrary[.FlowcellID]) - muxed_run: Pool identifier (barcode_1-barcode_2.lLibrary[.FlowcellID]) If str (file path), must be TSV with columns: - barcode_1, barcode_2, barcode_3, sample, library_id_per_sample csv_out : str Output path for the lookup table CSV file unmatched_name : str Name prefix for unmatched/unassigned reads (e.g., "Unmatched") pool_ids : list, optional List of pool IDs to process. If None/empty, processes all pools found. append_run_id : str, optional Suffix to append to run identifiers (typically flowcell ID). Only used when sample_sheet_or_dataframe is a file path (str). Ignored when a DataFrame is provided (which already has run/muxed_run). check_sample_sheet_consistency : bool, optional If True, validates sample sheet for duplicate barcode combinations Returns ------- str Path to the output CSV file containing the lookup table Output CSV Schema ----------------- The output CSV contains columns: - sample: Sample identifier - library_id: Library/pool identifier - barcode_1: Outer barcode (i7 index) - barcode_2: Outer barcode (i5 index) - inline_barcode: Inner barcode (barcode_3) - run: Sample run identifier (sample.lLibrary[.FlowcellID]) - muxed_pool: Pool identifier (barcode_1-barcode_2.lLibrary) - num_reads_hdistance0: Read count with perfect barcode match - num_reads_hdistance1: Read count with 1-mismatch to barcode - num_reads_total: Total reads (hdistance0 + hdistance1) Notes ----- - Expects splitcode summary JSON files named "{pool}_summary.json" in csv_out directory - Validates that (barcode_1, barcode_2) pairs don't have duplicate barcode_3 values - Handles pools with 0 reads gracefully by creating empty metrics - Unmatched reads get barcode_3 set to all "N"s matching expected barcode length """ pool_ids = pool_ids or [] outDir=os.path.dirname(csv_out) # Load or reuse barcode data # If we receive a DataFrame (from SampleSheet.inner_demux_mapper()), use it directly # This ensures pool IDs match exactly what was used to create summary JSON files if isinstance(sample_sheet_or_dataframe, pd.DataFrame): log.debug("Using provided DataFrame for barcode lookup table") barcodes_df = sample_sheet_or_dataframe.copy() # Reset index to make 'sample' a regular column (inner_demux_mapper sets it as index) barcodes_df.reset_index(inplace=True) # Rename 'muxed_run' to 'muxed_pool' for consistency with legacy code # The inner_demux_mapper() creates 'muxed_run' column, but this function expects 'muxed_pool' if 'muxed_run' in barcodes_df.columns and 'muxed_pool' not in barcodes_df.columns: barcodes_df['muxed_pool'] = barcodes_df['muxed_run'] else: # Legacy path: read from file and build columns log.debug("Reading sample sheet from file: %s", sample_sheet_or_dataframe) barcodes_df = pd.read_csv(sample_sheet_or_dataframe, sep="\t", dtype=str) # Build "run" column = ".l[.]" def build_sample_library_id_string(row): sample_val = row.get("sample", "") lib_val = row.get("library_id_per_sample", "") run_str = f"{sample_val}.l{lib_val}" if append_run_id: run_str += f".{append_run_id}" return run_str barcodes_df["run"] = barcodes_df.apply(build_sample_library_id_string, axis=1) def build_muxed_run_string(row): b1 = row.get("barcode_1", "") b2 = row.get("barcode_2", None) if b2 and b2.strip(): muxed_sample = f"{b1}-{b2}" else: muxed_sample = b1 lib_val = row.get("library_id_per_sample", "") muxed_run_str = f"{muxed_sample}.l{lib_val}" if append_run_id: muxed_run_str += f".{append_run_id}" return muxed_run_str barcodes_df["muxed_pool"] = barcodes_df.apply(build_muxed_run_string, axis=1) df_csv_out = f"{csv_out}" i7_barcodes = list(set(barcodes_df["barcode_1"].values)) barcodes = sorted(list(set(barcodes_df["barcode_3"].values))) def duplication_check(df, primary_cols, secondary_col, error_message_header=None, error_message=None): default_error_message_header = "Error: More than one '{column_to_check_for_duplicates}' value present for distinct combinations of the columns {affected_column_names}:" default_error_message = "'{duplicated_values}' appears {duplicate_count} times, for {affected_values}." error_message_header = error_message_header or default_error_message_header error_message = error_message or default_error_message # Check which placeholders are actually present in the template err_header_has_dup_check_col = '{column_to_check_for_duplicates}' in error_message_header err_header_has_affected_column_names = '{affected_column_names}' in error_message_header err_msg_has_affected_values = '{affected_values}' in error_message err_msg_has_dup_val = '{duplicated_values}' in error_message err_msg_has_count = '{duplicate_count}' in error_message # To store all generated error messages errors = [] # Group the dataframe by the primary columns grouped = df.groupby(primary_cols, dropna=False) error_header_out=None for group_key, subdf in grouped: # If there's only one primary column, group_key is a single value # Otherwise, it's a tuple of values if isinstance(group_key, tuple): # E.g.: ("North", "A") group_str = ','.join( f"{col}={val}" for col, val in zip(primary_cols, group_key) ) else: # E.g.: "North" when there's only one primary column group_str = f"{primary_cols[0]}={group_key}" # Count occurrences of each value in secondary_col value_counts = subdf[secondary_col].value_counts(dropna=True) # Identify duplicates: values with count > 1 duplicates = value_counts[value_counts > 1] # Build a separate message for each duplicated value for val, count_ in duplicates.items(): msg_dict = {} header_msg_dict = {} if err_msg_has_affected_values: msg_dict['affected_values'] = group_str if err_msg_has_dup_val: msg_dict['duplicated_values'] = val if err_msg_has_count: msg_dict['duplicate_count'] = count_ if err_header_has_dup_check_col: header_msg_dict['column_to_check_for_duplicates'] = secondary_col if err_header_has_affected_column_names: header_msg_dict['affected_column_names'] = f"{'+'.join([f'{chr(39)+c+chr(39)}' for c in primary_cols])}" if error_header_out is None: error_header_out = error_message_header.format(**header_msg_dict) message = error_message.format(**msg_dict) errors.append(message) return (error_header_out, errors) duplication_check_conditions = [ { "columns": ["barcode_1","barcode_2"], "column_to_check_for_duplicates": "barcode_3", } ] for dup_condition in duplication_check_conditions: problem_header, problems = duplication_check( barcodes_df, dup_condition["columns"], dup_condition["column_to_check_for_duplicates"], dup_condition.get("error_message_header", None), dup_condition.get("error_message", None) ) problem_found = False if len(problems): log.warning(problem_header) for problem in problems: log.warning(f"\t{problem}") problem_found = True if problem_found: raise ValueError("Problem(s) found in sample sheet; see above for details.") pool_dfs = [] unmatched_dfs = [] # Build barcode_group column for JSON lookup: outer barcodes only, no library_id. # Splitcode produces ONE summary JSON per outer barcode group (barcode_1+barcode_2), # but muxed_pool includes library_id_per_sample. When samples have unique library_ids, # there are multiple muxed_pool values per barcode group but only one JSON file. def _barcode_group(row): b1 = row.get("barcode_1", "") b2 = row.get("barcode_2", "") if b2 and str(b2).strip(): return f"{b1}-{b2}" return b1 barcodes_df["barcode_group"] = barcodes_df.apply(_barcode_group, axis=1) for barcode_group in barcodes_df["barcode_group"].unique(): samplesheet_rows_for_pool_df = barcodes_df[barcodes_df["barcode_group"] == barcode_group] # Find the splitcode summary JSON file for this barcode group. # Try each muxed_pool value in the group until we find a matching JSON. # This handles the case where library_id_per_sample differs per sample: # splitcode produces one JSON named after whichever muxed_pool was used as pool_id. splitcode_summary_file = None tried_patterns = [] try: for candidate_pool in samplesheet_rows_for_pool_df["muxed_pool"].unique(): summary_pattern = f"{outDir}/{candidate_pool}_summary.json" tried_patterns.append(summary_pattern) matching_files = glob.glob(summary_pattern) if matching_files: splitcode_summary_file = matching_files[0] if len(matching_files) > 1: log.warning(f"Multiple summary JSON files match pattern '{summary_pattern}':") for f in matching_files: log.warning(f" - {f}") log.warning(f"Using first match: {splitcode_summary_file}") break if splitcode_summary_file is None: # JSON file not found - list directory contents for debugging log.error(f"Splitcode summary JSON not found for barcode group '{barcode_group}'") log.error(f" Tried patterns: {tried_patterns}") log.error(f" Searching in directory: {outDir}") # List all files in the output directory to help debug try: dir_contents = os.listdir(outDir) log.error(f" Directory contents ({len(dir_contents)} files):") # List JSON files first (most relevant) json_files = [f for f in dir_contents if f.endswith('.json')] if json_files: log.error(f" JSON files found ({len(json_files)}):") for f in sorted(json_files): log.error(f" - {f}") else: log.error(f" No JSON files found in directory") # List first 20 other files for context other_files = [f for f in dir_contents if not f.endswith('.json')] if other_files: log.error(f" Other files (showing first 20 of {len(other_files)}):") for f in sorted(other_files)[:20]: log.error(f" - {f}") except OSError as list_err: log.error(f" Could not list directory contents: {list_err}") raise FileNotFoundError( f"Splitcode summary JSON not found for barcode group '{barcode_group}'. " f"Tried patterns: {tried_patterns}. " f"Check logs above for directory contents." ) log.debug(f"Loading splitcode summary from: {splitcode_summary_file}") with open(splitcode_summary_file, "r") as f: splitcode_summary = json.load(f) except (FileNotFoundError, IndexError) as e: # Re-raise with more context (directory listing already logged above) raise except json.JSONDecodeError as e: log.error(f"Failed to parse JSON from {splitcode_summary_file}") log.error(f" JSON decode error: {e}") # Try to show first few lines of the file for debugging try: with open(splitcode_summary_file, "r") as f: lines = f.readlines() log.error(f" File contents (first 10 lines):") for i, line in enumerate(lines[:10], 1): log.error(f" {i}: {line.rstrip()}") if len(lines) > 10: log.error(f" ... ({len(lines) - 10} more lines)") except Exception as read_err: log.error(f" Could not read file for debugging: {read_err}") raise except Exception as e: log.error(f"Unexpected error loading splitcode summary for barcode group '{barcode_group}'") log.error(f" File: {splitcode_summary_file if splitcode_summary_file else 'not determined'}") log.error(f" Error type: {type(e).__name__}") log.error(f" Error message: {e}") raise # Parse splitcode summary JSON # IMPORTANT: The tag_qc array has MULTIPLE entries per barcode tag! # Each barcode appears once for each hamming distance level (0, 1, 2, 3). # Example tag_qc structure: # [ # {"tag": "Sample1_R1", "distance": 0, "count": 5}, # Perfect matches # {"tag": "Sample1_R1", "distance": 1, "count": 2}, # 1 mismatch # {"tag": "Sample1_R1", "distance": 2, "count": 0}, # 2 mismatches # {"tag": "Sample1_R1", "distance": 3, "count": 0}, # 3 mismatches # {"tag": "Sample2_R1", "distance": 0, "count": 3}, # ... # ] # # Here we filter to distance=0 (perfect matches) and distance=1 (1-mismatch) separately # for downstream metrics and QC analysis. if len(splitcode_summary.get("tag_qc", [])) > 0: splitcode_summary_df = pd.DataFrame.from_records(splitcode_summary["tag_qc"]) # Convert only the tag column to string, keep count/distance as numeric splitcode_summary_df['tag'] = splitcode_summary_df['tag'].astype(str) splitcode_summary_df['run'] = splitcode_summary_df['tag'].copy() splitcode_summary_df['run'] = splitcode_summary_df['run'].str.removesuffix('_R1') # Extract perfect matches (hamming distance = 0) splitcode_summary_df_h0_df = splitcode_summary_df[splitcode_summary_df["distance"] == 0] # Extract 1-mismatch reads (hamming distance = 1) splitcode_summary_df_h1_df = splitcode_summary_df[splitcode_summary_df["distance"] == 1].copy() splitcode_summary_df_h1_df = splitcode_summary_df_h1_df.rename(columns={"count": "count_h1"}) samplesheet_rows_for_pool_hx_df = samplesheet_rows_for_pool_df.join( splitcode_summary_df_h0_df.set_index('run'), on='run') samplesheet_rows_for_pool_hx_df = pd.merge(samplesheet_rows_for_pool_hx_df, splitcode_summary_df_h1_df[['run','count_h1']].rename(columns={'run':'run_h1'}), left_on = 'run', right_on = 'run_h1', how = 'left') samplesheet_rows_for_pool_hx_df = samplesheet_rows_for_pool_hx_df.drop(columns=['run_h1','distance','tag']) # dropping distance since we've added a col with different distance (as indicated by _h1 suffix) # fil NA values in 'count_h1' and cast to int samplesheet_rows_for_pool_hx_df["count_h1"] = samplesheet_rows_for_pool_hx_df["count_h1"].fillna(0).astype(int) else: # No reads were processed by splitcode for this pool # Create a dataframe with the expected schema but all counts set to 0 log.warning(f"Barcode group {barcode_group} has 0 reads processed by splitcode. Creating empty metrics.") samplesheet_rows_for_pool_hx_df = samplesheet_rows_for_pool_df.copy() samplesheet_rows_for_pool_hx_df['count'] = 0 samplesheet_rows_for_pool_hx_df['count_h1'] = 0 pool_dfs.append(samplesheet_rows_for_pool_hx_df) unmatched_dict = { "sample" : f"{unmatched_name}.{barcode_group}", "library_id_per_sample" : list(set(samplesheet_rows_for_pool_hx_df["library_id_per_sample"]))[0], "run" : f"{unmatched_name}.{barcode_group}", "muxed_pool" : barcode_group, "count" : splitcode_summary["n_processed"] - splitcode_summary["n_assigned"], "count_h1" : 0, "barcode_1" : list(samplesheet_rows_for_pool_hx_df["barcode_1"])[0], "barcode_2" : list(samplesheet_rows_for_pool_hx_df["barcode_2"])[0], "barcode_3" : "N" * len(list(samplesheet_rows_for_pool_hx_df["barcode_3"])[0]), } unmatched_df = pd.DataFrame.from_dict([unmatched_dict], dtype=str) unmatched_dfs.append(unmatched_df) all_pools_and_unmatched_df = pd.concat(pool_dfs + unmatched_dfs, ignore_index=True) df_lut = all_pools_and_unmatched_df.copy() # rename columns to values expected by downstream plotting code df_lut = df_lut.rename(columns={ "count": "num_reads_hdistance0", "count_h1": "num_reads_hdistance1", "barcode_3":"inline_barcode", "library_id_per_sample":"library_id" }) df_lut["num_reads_total"] = ( df_lut["num_reads_hdistance0"] + df_lut["num_reads_hdistance1"] ) # TO-DO: Adjust the table outputted by this function to match Picard output df_lut.to_csv(df_csv_out, index=False) return df_csv_out def plot_read_counts(df_csv_path, outDir): df_lut = pd.read_csv(df_csv_path, dtype=str) # Convert numeric columns explicitly numeric_cols = ['num_reads_total', 'num_reads_hdistance0', 'num_reads_hdistance1'] for col in numeric_cols: if col in df_lut.columns: df_lut[col] = pd.to_numeric(df_lut[col], errors='coerce').fillna(0) fig, axs = plt.subplots(figsize=(10, 10), nrows=3, sharex=True) fontsize = 14 df_grouped = ( df_lut.groupby(["inline_barcode", "library_id"])["num_reads_total"] .sum() .unstack(fill_value=0) ) df_grouped_fracs = df_grouped.div(df_grouped.sum(axis=0), axis=1) bar_width = 0.2 bar_positions = np.arange(len(df_grouped)) # Define colors unique_library_ids = df_lut["library_id"].nunique() tab20_colors = plt.cm.tab20.colors pool_colors = (tab20_colors * (unique_library_ids // 20 + 1))[:unique_library_ids] for i, pool in enumerate(df_grouped.columns): axs[0].bar( bar_positions + i * bar_width, df_grouped[pool], width=bar_width, label=f'{pool.split("_")[-1]}', color=pool_colors[i], ) axs[1].bar( bar_positions + i * bar_width, df_grouped[pool], width=bar_width, color=pool_colors[i], ) axs[2].bar( bar_positions + i * bar_width, df_grouped_fracs[pool], width=bar_width, color=pool_colors[i], ) # Only set log scale if there are positive values if df_grouped.values.max() > 0: axs[1].set_yscale("log") else: log.warning("All read counts are zero; skipping log scale for plot") for ax in axs[:2]: ax.set_ylabel("# Reads", fontsize=fontsize) axs[2].set_ylabel("Fraction of Reads", fontsize=fontsize) for ax in axs: ax.set_xticks(bar_positions + 1.5 * bar_width) ax.set_xticklabels(df_grouped.index, rotation=45, ha="right") ax.tick_params(axis="both", labelsize=fontsize - 2) ax.grid(True, axis="y", linestyle="--", alpha=0.7) ax.margins(x=0.01) axs[0].legend(title="Pool", fontsize=fontsize - 2, title_fontsize=fontsize) axs[0].set_title("# Reads per inline barcode", fontsize=fontsize) axs[2].set_xlabel("Inline Barcode", fontsize=fontsize) plt.tight_layout() fig.savefig(f"{outDir}/reads_per_pool.pdf", bbox_inches="tight", dpi=300) fig.savefig(f"{outDir}/reads_per_pool.png", bbox_inches="tight", dpi=300) def plot_sorted_curve(df_csv_path, out_dir, unmatched_name, out_basename=None): out_basename = out_basename or "reads_per_pool_sorted_curve" df_lut = pd.read_csv(df_csv_path, dtype=str) # Convert numeric columns explicitly numeric_cols = ['num_reads_total', 'num_reads_hdistance0', 'num_reads_hdistance1'] for col in numeric_cols: if col in df_lut.columns: df_lut[col] = pd.to_numeric(df_lut[col], errors='coerce').fillna(0) log.debug(f"Reading in metrics file for plotting barcode read counts per pool: {df_csv_path}") log.debug(f"unmatched_name: {unmatched_name}") fig, axs = plt.subplots(figsize=(10, 10), nrows=4, sharex=True) fontsize = 14 # Define colors unique_library_ids = df_lut["library_id"].nunique() log.debug(f"Number of distinct library_id values (pools) present: {unique_library_ids}") log.debug(f"library_id values (pools): {', '.join(sorted(list(set(df_lut['library_id'].astype(str)))))}") tab20_colors = plt.cm.tab20.colors pool_colors = (tab20_colors * (unique_library_ids // 20 + 1))[:unique_library_ids] for i, pool in enumerate(sorted(df_lut["library_id"].unique())): log.debug(f"Processing read counts to plot for library_id (pool): {pool}") # pool_metrics = df_lut[ # (df_lut["library_id"] == str(pool)) # & (df_lut["inline_barcode"] != unmatched_name) # ] pool_metrics = df_lut[ (df_lut["library_id"] == pool) & (~df_lut['inline_barcode'].str.match(r'^N+$', na=False)) ] num_reads = pool_metrics["num_reads_total"] num_reads = sorted(num_reads, reverse=True) for ax in axs[:2]: ax.scatter( np.arange(len(num_reads)), num_reads, label=f'{pool.split("_")[-1]}', color=pool_colors[i], ) ax.plot(np.arange(len(num_reads)), num_reads, color=pool_colors[i]) # Calculate total and fractions (handle division by zero) total_reads = sum(num_reads) if total_reads > 0: fractions = np.array([read / total_reads for read in num_reads]) else: fractions = np.zeros(len(num_reads)) log.warning(f"Pool {pool} has 0 total reads; setting all fractions to 0") for ax in axs[2:]: ax.scatter(np.arange(len(fractions)), fractions * 100, color=pool_colors[i]) ax.plot(np.arange(len(fractions)), fractions * 100, color=pool_colors[i]) axs[1].set_yscale("symlog") axs[1].set_ylim(bottom=0) axs[3].set_ylim(bottom=0, top=0.5) axs[3].set_xlabel("Inline Barcode", fontsize=fontsize) axs[0].set_title("Reads per Inline Barcode (Sorted Curve)", fontsize=fontsize) axs[0].legend(title="Pool", fontsize=fontsize - 2, title_fontsize=fontsize) for ax in axs[:2]: ax.set_ylabel("# Reads", fontsize=fontsize) for ax in axs[2:]: ax.set_ylabel("% Reads", fontsize=fontsize) for ax in axs: ax.tick_params(axis="both", labelsize=fontsize - 2) ax.grid(True, axis="y", linestyle="--", alpha=0.7) ax.margins(x=0.01) plt.tight_layout() fig.savefig( f"{out_dir}/{out_basename}.pdf", bbox_inches="tight", dpi=300 ) fig.savefig( f"{out_dir}/{out_basename}.png", bbox_inches="tight", dpi=300 ) # this function is called in new processes # and must remain at the top level (global scope) of this file # to be picklable and thus compatible # with concurrent.futures.ProcessPoolExecutor() # see: https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor # https://stackoverflow.com/a/72776044 def run_splitcode_on_pool( pool_id, pool_bam_file, splitcode_config, splitcode_keepfile, out_demux_dir_path, unmatched_name = "unmatched", threads_per_worker = None, out_dir_path = None, out_demux_dir_path_tmp = None, string_to_log = None, predemux_r1_trim_5prime_num_bp=None, predemux_r1_trim_3prime_num_bp=None, predemux_r2_trim_5prime_num_bp=None, predemux_r2_trim_3prime_num_bp=None ): """ Execute splitcode demultiplexing on a single BAM pool. This function converts the input BAM to FASTQ, runs splitcode to demultiplex based on inline barcodes, and generates a summary JSON with barcode matching statistics. Args: pool_id: Identifier for this pool (used in output filenames) pool_bam_file: Path to input BAM file containing multiplexed reads splitcode_config: Path to splitcode config file (TSV format with columns: tag, id, locations, distance, left, right) splitcode_keepfile: Path to keep file (TSV: barcode_idoutput_prefix) out_demux_dir_path: Directory for demultiplexed output FASTQs unmatched_name: Prefix for unmatched/unassigned reads output out_dir_path: Directory for summary JSON (defaults to out_demux_dir_path) out_demux_dir_path_tmp: Temporary directory for intermediate files Returns: tuple: (return_code, pool_id) where return_code is 0 on success Output files: - Summary JSON: {out_dir_path}/{pool_id}_summary.json Contains 'tag_qc' array with barcode matching statistics. Each barcode has multiple entries (one per hamming distance level 0-3) with 'tag', 'distance', and 'count' fields. - Demuxed FASTQs: {output_prefix}_R1.fastq, {output_prefix}_R2.fastq (output_prefix comes from keepfile, one pair per barcode) - Unmatched FASTQs: {unmatched_name}.{pool_id}_R1.fastq, {unmatched_name}.{pool_id}_R2.fastq Notes: - Splitcode config locations format: FILE_NUMBER:START_BP:END_BP Example: "0:0:8" means file 0 (R1), positions 0-8 (8bp barcode) - The 'id' column in config file must match the first column in keepfile - By convention, we use f"{sample_library_id}_R1" as the ID - tag_qc in summary JSON has multiple entries per tag (one for each distance level), so downstream code must sum counts across all distance levels if needed See test/unit/test_illumina_splitcode.py for detailed examples and validation of splitcode behavior assumptions. """ with samtools.SamtoolsTool().bam2fq_tmp(pool_bam_file) as (fqin1, fqin2): n_fastqs = 2 splitcode_tool = SplitCodeTool() # output args unmapped_r1 = f"{out_demux_dir_path_tmp}/{unmatched_name}.{pool_id}_R1.fastq" unmapped_r2 = f"{out_demux_dir_path_tmp}/{unmatched_name}.{pool_id}_R2.fastq" # write the stats to the output directory rather than tmp summary_stats = f"{out_dir_path}/{pool_id}_summary.json" # Dummy output files for --output parameter # Note: --no-output flag prevents --keep files from being written, so we must # provide --output even though we don't use these files dummy_output_r1 = f"{out_demux_dir_path_tmp}/_dummy_main_output_{pool_id}_R1.fastq" dummy_output_r2 = f"{out_demux_dir_path_tmp}/_dummy_main_output_{pool_id}_R2.fastq" # Optional: Pass 'predemux_r2_trim_3prime_num_bp':8 for '--trim-3 0,8' # to remove 8 bases from end of R2 read # (note: trimming happens before demuxing) # valid options: # predemux_r1_trim_5prime_num_bp # predemux_r1_trim_3prime_num_bp # predemux_r2_trim_5prime_num_bp # predemux_r2_trim_3prime_num_bp # see splitcode.py wrapper for more details, and also: # https://splitcode.readthedocs.io/en/latest/reference_guide.html#command-line-config-optional splitcode_kwargs={ "n_fastqs" : n_fastqs, "threads" : threads_per_worker, "config_file" : splitcode_config, "keep_file" : splitcode_keepfile, "unassigned_r1" : unmapped_r1, "unassigned_r2" : unmapped_r2, "summary_stats" : summary_stats, "r1" : fqin1, "r2" : fqin2, "predemux_r1_trim_5prime_num_bp" : predemux_r1_trim_5prime_num_bp, "predemux_r1_trim_3prime_num_bp" : predemux_r1_trim_3prime_num_bp, "predemux_r2_trim_5prime_num_bp" : predemux_r2_trim_5prime_num_bp, "predemux_r2_trim_3prime_num_bp" : predemux_r2_trim_3prime_num_bp, "keep_r1_r2_suffixes" : True, # Add --keep-r1-r2 flag for _R1/_R2 suffixes "splitcode_opts" : [f"--output={dummy_output_r1},{dummy_output_r2}"], # Required for --keep to work } if string_to_log: log.info(string_to_log) return (splitcode_tool.execute(**splitcode_kwargs), pool_id) def generate_splitcode_config_and_keep_files( inner_demux_barcode_map_df, pool_id, output_dir, max_hamming_dist=1, r1_trim_bp_right_of_barcode=None, r2_trim_bp_left_of_barcode=None ): """ Generate splitcode config and keep files for a single pool. This function creates the TSV files needed by splitcode to demultiplex reads based on inline barcodes (barcode_3). It takes sample metadata from a DataFrame and generates both the config file (which specifies barcode sequences and matching parameters) and the keep file (which maps barcodes to output file prefixes). Args: inner_demux_barcode_map_df (pd.DataFrame): DataFrame with sample metadata. Required columns: - 'barcode_3': Inline barcode sequence - 'run': Sample library ID (e.g., "Sample1.lLib1.FLOWCELL.1") - 'muxed_run': Pool ID for grouping samples Index: sample names pool_id (str): Pool identifier to filter samples and name output files output_dir (str): Directory where demultiplexed FASTQs will be written max_hamming_dist (int): Maximum Hamming distance for fuzzy barcode matching. Default: 1 (allows 1 mismatch) r1_trim_bp_right_of_barcode (int, optional): Additional bases to trim from R1 after removing the barcode. If None, only the barcode is trimmed. r2_trim_bp_left_of_barcode (int, optional): Bases to trim from R2 left side (currently unused - R2 barcodes not implemented) Returns: tuple: (config_file_path, keep_file_path, sample_library_ids) - config_file_path (str): Path to generated splitcode config TSV - keep_file_path (str): Path to generated splitcode keep TSV - sample_library_ids (list): List of sample_library_id values for this pool Config file format (TSV with header): tag - Barcode sequence (e.g., "AAAAAAAA") id - Barcode identifier (e.g., "Sample1_R1") - MUST match keep file locations - FILE_NUMBER:START_BP:END_BP (e.g., "0:0:8" for R1 positions 0-8) distance - Max hamming distance for fuzzy matching (0=exact, 1=1 mismatch, etc.) left - Trim from left: "1" removes barcode, "1:N" removes barcode + N more bp right - Trim from right (typically "0" for R1 barcodes) Keep file format (TSV, NO header): Column 1: barcode_id - MUST match "id" from config file Column 2: output_prefix - Path prefix for output FASTQs (without _R1/_R2.fastq) Example: >>> df = pd.DataFrame({ ... 'barcode_3': ['AAAAAAAA', 'CCCCCCCC'], ... 'run': ['Sample1.lLib1', 'Sample2.lLib1'], ... 'muxed_run': ['Pool1', 'Pool1'] ... }, index=['Sample1', 'Sample2']) >>> config, keep, ids = generate_splitcode_config_and_keep_files( ... df, 'Pool1', '/output', max_hamming_dist=1 ... ) >>> # config file contains: >>> # tag id locations distance left right >>> # AAAAAAAA Sample1.lLib1_R1 0:0:8 1 1 0 >>> # CCCCCCCC Sample2.lLib1_R1 0:0:8 1 1 0 >>> # keep file contains: >>> # Sample1.lLib1_R1 /output/Sample1.lLib1 >>> # Sample2.lLib1_R1 /output/Sample2.lLib1 See test/unit/test_illumina_splitcode.py for validation of splitcode's behavior with these file formats. """ # Filter DataFrame to only samples in this pool pool_samples_df = inner_demux_barcode_map_df[ inner_demux_barcode_map_df['muxed_run'] == pool_id ] if len(pool_samples_df) == 0: raise ValueError(f"No samples found for pool_id '{pool_id}'") # ======== Create splitcode config file ======== # For more information on config format and parameters see: # https://splitcode.readthedocs.io/en/latest/reference_guide.html#table-options # https://splitcode.readthedocs.io/en/latest/user_guide_tags.html#locations # https://splitcode.readthedocs.io/en/latest/user_guide_tags.html#left-and-right-trimming config_file = util_file.mkstempfname(f'splitcode_{pool_id}_config.txt') with open(config_file, "w") as config_fh: config_tsv_writer = csv.writer(config_fh, delimiter="\t", lineterminator='\n') # Write header columns config_header = [ "tag", # Barcode sequence "id", # Barcode identifier (must match keep file) "locations", # FILE:START:END format "distance", # Max hamming distance "left", # Trim from left "right" # Trim from right ] config_tsv_writer.writerow(config_header) # Write config lines for each sample in this pool for sample_name, sample_row in pool_samples_df.iterrows(): barcode_sequence = sample_row["barcode_3"] barcode_len = len(barcode_sequence) sample_library_id = sample_row["run"] # R1 barcode configuration # The "left" column controls trimming from the left side of R1 # Format: "1" (trim barcode only) or "1:N" (trim barcode + N more bp) left_trim = "1" if r1_trim_bp_right_of_barcode is None else f"1:{r1_trim_bp_right_of_barcode}" # When using --keep-r1-r2 flag, splitcode automatically adds _R1/_R2 suffixes # to output filenames, so the ID should NOT include _R1 suffix config_line_r1 = [ barcode_sequence, # The barcode sequence to search for sample_library_id, # ID (MUST match keep file column 1) f"0:0:{barcode_len}", # locations: FILE:START:END (0=R1, 0-barcode_len) str(max_hamming_dist), # Maximum hamming distance left_trim, # Trim from left (barcode + optional extra bp) "0" # Trim from right (not used for R1) ] config_tsv_writer.writerow(config_line_r1) # TODO: R2 barcode support (currently commented out in splitcode_demux) # If needed, would add config_line_r2 here using r2_trim_bp_left_of_barcode # ======== Create splitcode keep file ======== # Keep file maps barcode IDs to output file prefixes # NO header row (unlike config file) keep_file = util_file.mkstempfname(f"splitcode_{pool_id}_keepfile.txt") sample_library_ids = [] with open(keep_file, "w") as keep_fh: keep_tsv_writer = csv.writer(keep_fh, delimiter="\t", lineterminator='\n') for sample_name, sample_row in pool_samples_df.iterrows(): sample_library_id = sample_row["run"] sample_library_ids.append(sample_library_id) # Output prefix: /output/dir/Sample1.lLib1 # When using --keep-r1-r2, splitcode will create: # /output/dir/Sample1.lLib1_R1.fastq, ...R2.fastq sample_output_prefix = f"{output_dir}/{sample_library_id}" keep_row = [ sample_library_id, # MUST match config file "id" column (no _R1 suffix) sample_output_prefix, # Output prefix (without _R1/_R2.fastq) ] keep_tsv_writer.writerow(keep_row) return (config_file, keep_file, sample_library_ids) def convert_splitcode_demux_metrics_to_picard_style( in_splitcode_csv_path, out_splitcode_tsv_metrics_path, demux_function = "viral-core.SplitcodeMetrics", catchall_name = "unmatched", combine_innerbarcode_unmatched = False, report_within_pools = True ): """ Convert a custom Splitcode demux CSV file into a Picard-style ExtractIlluminaBarcodes.BarcodeMetric TSV file. :param in_splitcode_csv_path: Path to the Splitcode-format CSV input :param out_splitcode_tsv_metrics_path: Path to the desired Picard-style metrics TSV output :param demux_function: The string to insert after 'ExtractIlluminaBarcodes$' in the '## METRICS CLASS' comment line :param catchall_name: A placeholder name for collapsed 'N' rows (not strictly used here) :param combine_innerbarcode_unmatched: If True, we collapse "all-N" rows into one single row. If False, we leave them as-is (no collapsing). :param report_within_pools: If True, the ratio/percentage columns are computed for each unique (barcode_1, barcode_2) group. If False, they are computed globally. Also, if True, we check only the *last* barcode segment for 'N's. If False, we check the entire combined barcode for 'N's. """ # Required columns for the first set of metrics required_cols = [ "sample", # -> BARCODE_NAME "barcode_1", # -> part of BARCODE "barcode_2", # -> part of BARCODE "num_reads_hdistance0", # -> PERFECT_MATCHES, PF_PERFECT_MATCHES "num_reads_hdistance1", # -> ONE_MISMATCH_MATCHES, PF_ONE_MISMATCH_MATCHES "num_reads_total" # -> READS, PF_READS ] # Read the CSV df = pd.read_csv(in_splitcode_csv_path, dtype=str) # Check for presence of required columns for col in required_cols: if col not in df.columns: raise ValueError(f"Required column '{col}' is missing in the input file.") # Also check that these columns are not all empty for col in required_cols: if df[col].dropna().empty: raise ValueError( f"Required column '{col}' is present but entirely empty (no usable data)." ) # Convert numeric columns from string to numeric # These columns are read as strings but need to be numeric for calculations numeric_cols = ["num_reads_hdistance0", "num_reads_hdistance1", "num_reads_total"] for col in numeric_cols: if col in df.columns: df[col] = pd.to_numeric(df[col], errors='coerce').fillna(0).astype(int) # If 'inline_barcode' is present, treat it as a potential "third" barcode barcode_3_col = "inline_barcode" if "inline_barcode" in df.columns else None # Combine up to 3 barcodes into 'BARCODE' (with '-') and 'BARCODE_WITHOUT_DELIMITER' (concatenated) def combine_barcodes(row): bcs = [] for bc_col in ["barcode_1", "barcode_2"]: val = row.get(bc_col, "") if pd.notnull(val) and val != "": bcs.append(val) if barcode_3_col and pd.notnull(row.get(barcode_3_col, "")) and row[barcode_3_col] != "": bcs.append(row[barcode_3_col]) barcode = "-".join(bcs) barcode_no_delim = "".join(bcs) return pd.Series([barcode, barcode_no_delim]) df[["BARCODE", "BARCODE_WITHOUT_DELIMITER"]] = df.apply(combine_barcodes, axis=1) # Assign 'BARCODE_NAME' and 'LIBRARY_NAME' df["BARCODE_NAME"] = df["sample"] if "run" in df.columns and not df["run"].dropna().empty: df["LIBRARY_NAME"] = df["run"] elif "library_id" in df.columns and not df["library_id"].dropna().empty: df["LIBRARY_NAME"] = df["library_id"] else: df["LIBRARY_NAME"] = df["BARCODE_NAME"] # Fill the first set of columns (READS, PF_READS, etc.) df["READS"] = df["num_reads_total"] df["PF_READS"] = df["num_reads_total"] df["PERFECT_MATCHES"] = df["num_reads_hdistance0"] df["PF_PERFECT_MATCHES"] = df["num_reads_hdistance0"] df["ONE_MISMATCH_MATCHES"] = df["num_reads_hdistance1"] df["PF_ONE_MISMATCH_MATCHES"] = df["num_reads_hdistance1"] # Define the "all N" checkers def is_all_N(barcode_str: str) -> bool: """ Return True if the entire (combined) barcode is all 'N' and non-empty. Ignores delimiter characters ('-'). """ if not isinstance(barcode_str, str): return False # Remove delimiters before checking barcode_no_delim = barcode_str.replace('-', '') return len(barcode_no_delim) > 0 and all(ch == 'N' for ch in barcode_no_delim) def last_barcode_is_all_N(barcode_str: str) -> bool: """ Return True if the final piece (e.g. inline barcode) is non-empty and all 'N'. For example, 'ACTGATCG-NNNNNNNNN' => True for that last piece. """ if not isinstance(barcode_str, str): return False parts = barcode_str.split("-") if not parts: return False return is_all_N(parts[-1]) # Row Collapsing for "all-N" if combine_innerbarcode_unmatched == True if combine_innerbarcode_unmatched: # The definition of "all-N" changes depending on report_within_pools: # - If report_within_pools=True => check ONLY the last barcode piece # - Otherwise => check entire combined barcode check_all_n_func = last_barcode_is_all_N if report_within_pools else is_all_N # Identify any rows that are "all N" by that definition df["IS_ALL_N"] = df["BARCODE"].apply(check_all_n_func) # Separate them out df_all_n = df[df["IS_ALL_N"]] df_not_all_n = df[~df["IS_ALL_N"]] if not df_all_n.empty: # Sum their metric columns sum_reads = df_all_n["READS"].sum() sum_pf_reads = df_all_n["PF_READS"].sum() sum_perfect_matches = df_all_n["PERFECT_MATCHES"].sum() sum_pf_perfect_matches = df_all_n["PF_PERFECT_MATCHES"].sum() sum_one_mismatch = df_all_n["ONE_MISMATCH_MATCHES"].sum() sum_pf_one_mismatch = df_all_n["PF_ONE_MISMATCH_MATCHES"].sum() collapsed = df_all_n.iloc[0].copy() collapsed["BARCODE"] = "N" collapsed["BARCODE_WITHOUT_DELIMITER"] = "N" collapsed["BARCODE_NAME"] = "" collapsed["LIBRARY_NAME"] = "" collapsed["READS"] = sum_reads collapsed["PF_READS"] = sum_pf_reads collapsed["PERFECT_MATCHES"] = sum_perfect_matches collapsed["PF_PERFECT_MATCHES"] = sum_pf_perfect_matches collapsed["ONE_MISMATCH_MATCHES"] = sum_one_mismatch collapsed["PF_ONE_MISMATCH_MATCHES"] = sum_pf_one_mismatch # Recombine the "not all-N" rows plus this one collapsed row df = pd.concat([df_not_all_n, pd.DataFrame([collapsed], dtype=str)], ignore_index=True) # After concat with dtype=str, re-convert numeric columns numeric_cols_to_reconvert = [ "READS", "PF_READS", "PERFECT_MATCHES", "PF_PERFECT_MATCHES", "ONE_MISMATCH_MATCHES", "PF_ONE_MISMATCH_MATCHES" ] for col in numeric_cols_to_reconvert: if col in df.columns: df[col] = pd.to_numeric(df[col], errors='coerce').fillna(0).astype(int) # Drop helper column df.drop(columns=["IS_ALL_N"], inplace=True, errors="ignore") # # Now define how we compute the ratio/percentage columns # # Because you specifically want "if report_within_pools=True, only the last barcode is considered # for 'N's in the PF_NORMALIZED_MATCHES exclusion," we will conditionally pick which function # to use in that step too. # exclude_for_mean_func = last_barcode_is_all_N if report_within_pools else is_all_N def compute_stats_per_group(group: pd.DataFrame) -> pd.DataFrame: # Compute sums, maxima, etc. *within* the group, fill ratio/percentage columns. sum_of_reads = group["READS"].sum() max_of_reads = group["READS"].max() if len(group) > 0 else 1 sum_of_pf_reads = group["PF_READS"].sum() max_of_pf_reads = group["PF_READS"].max() if len(group) > 0 else 1 # For PF_NORMALIZED_MATCHES, exclude rows that pass `exclude_for_mean_func` # (which is either last_barcode_is_all_N or is_all_N, depending on 'report_within_pools'). group_for_mean = group[~group["BARCODE"].apply(exclude_for_mean_func)] mean_pf_reads = group_for_mean["PF_READS"].mean() if len(group_for_mean) > 0 else 1 out = group.copy() if sum_of_reads == 0: out["PCT_MATCHES"] = 0 else: out["PCT_MATCHES"] = out["PERFECT_MATCHES"] / sum_of_reads if max_of_reads == 0: out["RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT"] = 0 else: out["RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT"] = out["READS"] / max_of_reads if sum_of_pf_reads == 0: out["PF_PCT_MATCHES"] = 0 else: out["PF_PCT_MATCHES"] = out["PF_PERFECT_MATCHES"] / sum_of_pf_reads if max_of_pf_reads == 0: out["PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT"] = 0 else: out["PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT"] = out["PF_READS"] / max_of_pf_reads if mean_pf_reads == 0: out["PF_NORMALIZED_MATCHES"] = 0 else: out["PF_NORMALIZED_MATCHES"] = out["PF_PERFECT_MATCHES"] / mean_pf_reads return out # Perform the group-based or global stats if report_within_pools: # Group by (barcode_1, barcode_2) grouped = df.groupby(["barcode_1", "barcode_2"], group_keys=False) df = grouped[df.columns].apply(compute_stats_per_group) else: # Global df = compute_stats_per_group(df) # Add DEMUX_TYPE column to all rows df["DEMUX_TYPE"] = "inline_splitcode" # Prepare the output columns_out = [ "BARCODE", "BARCODE_WITHOUT_DELIMITER", "BARCODE_NAME", "LIBRARY_NAME", "READS", "PF_READS", "PERFECT_MATCHES", "PF_PERFECT_MATCHES", "ONE_MISMATCH_MATCHES", "PF_ONE_MISMATCH_MATCHES", "PCT_MATCHES", "RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_PCT_MATCHES", "PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_NORMALIZED_MATCHES", "DEMUX_TYPE", ] with open(out_splitcode_tsv_metrics_path, "w") as f: # Write the Picard-style "## METRICS CLASS" header line f.write(f"## METRICS CLASS\t{demux_function}\n") # Write column header f.write("\t".join(columns_out) + "\n") # Write data rows for _, row in df.iterrows(): row_values = [str(row.get(col, "")) for col in columns_out] f.write("\t".join(row_values) + "\n") ================================================ FILE: src/viral_ngs/core/stats.py ================================================ '''A few pure-python statistical tools to avoid the need to install scipy. ''' __author__ = "dpark@broadinstitute.org, irwin@broadinstitute.org" from math import exp, log, sqrt, gamma, lgamma, erf from statistics import mean, median import itertools def product(iterable): prod = 1 for x in iterable: prod *= x return prod def chi2_contingency(contingencyTable, correction=True): """ contingencyTable is a sequence of m sequences, each of length n. Return an estimate using the chi-square distribution of the two-tailed p-value for an m x n contingency table against the null hypothesis that the row and column criteria are independent. This is not as accurate as fisher_exact, but is faster (and is implemented for all m and n). If correction is True and there is 1 degree of freedom, apply Yates's correction for continuity, i.e., adjust each observed value by 0.5 towards the corresponding expected value, which brings the result closer to the Fisher exact test result. Not recommended if any of the counts or expected counts are less than 5. """ # scipy equivalent: scipy.stats.chi2_contingency(contingencyTable)[1] if len(contingencyTable) == 0: return 1.0 if len(set(map(len, contingencyTable))) != 1: raise ValueError('Not all rows have the same length') # Eliminate rows and columns with 0 sum colSums = [sum(row[col] for row in contingencyTable) for col in range(len(contingencyTable[0]))] table = [[x for x, colSum in zip(row, colSums) if colSum != 0] for row in contingencyTable if sum(row) != 0] if len(table) < 2 or len(table[0]) < 2: return 1.0 m = len(table) n = len(table[0]) rowSums = [sum(row) for row in table] colSums = [sum(row[col] for row in table) for col in range(n)] N = sum(rowSums) expect = [[rowSums[i] * colSums[j] / N for j in range(n)] for i in range(m)] if correction and m == n == 2: def corr(i, j): if expect[i][j] > table[i][j]: return min(table[i][j] + 0.5, expect[i][j]) else: return max(table[i][j] - 0.5, expect[i][j]) table = [[corr(i, j) for j in range(n)] for i in range(m)] chisq = sum((table[i][j] - expect[i][j]) ** 2 / expect[i][j] for j in range(n) for i in range(m)) pval = 1 - pchisq(chisq, (m - 1) * (n - 1)) return pval def fisher_exact(contingencyTable): """ Fisher exact test for the 2 x n case. contingencyTable is a sequence of 2 length-n sequences of integers. Return the two-tailed p-value against the null hypothesis that the row and column criteria are independent, using Fisher's exact test. For n larger than 2, this is very slow, O(S^(n-1)), where S is the smaller of the two row sums. Better to use chi2_contingency unless one of the row sums is small. Handles m x n contingencyTable with m > 2 if it can be reduced to the 2 x n case by transposing or by removing rows that are all 0s. Also handles degenerate cases of 0 or 1 row by returning 1.0. """ if len(contingencyTable) == 0: return 1.0 if len(set(map(len, contingencyTable))) != 1: raise ValueError('Not all rows have the same length') if any(x != int(x) for row in contingencyTable for x in row): raise ValueError('Some table entry is not an integer') if any(x < 0 for row in contingencyTable for x in row): raise ValueError('Some table entry is negative') # Eliminate rows and columns with 0 sum colSums = [sum(row[col] for row in contingencyTable) for col in range(len(contingencyTable[0]))] table = [[x for x, colSum in zip(row, colSums) if colSum != 0] for row in contingencyTable if sum(row) != 0] if len(table) < 2 or len(table[0]) < 2: return 1.0 if len(table) > len(table[0]): table = list(zip(*table)) # Transpose m = len(table) n = len(table[0]) if m != 2: raise NotImplementedError('More than 2 non-zero rows and columns.') # Put row with smaller sum first. Makes the loop iterations simpler. table.sort(key=sum) # Put column with largest sum last. Makes loop quick rejection faster. table = list(zip(*table)) # Transpose table.sort(key=sum) table = list(zip(*table)) # Transpose back # There are many optimizations possible for the following code, but it would # still be O(S^(n-1)) so it would still be too slow for anything # sizeable, and it's usable as it for small things. rowSums = [sum(row) for row in table] colSums = [sum(row[col] for row in table) for col in range(n)] logChooseNrowSum = log_choose(sum(rowSums), rowSums[0]) def prob_of_table(firstRow): return exp(sum(log_choose(cs, a) for cs, a in zip(colSums, firstRow)) - logChooseNrowSum) p0 = prob_of_table(table[0]) result = 0 for firstRowM1 in itertools.product(*[range(min(rowSums[0], colSums[i]) + 1) for i in range(n - 1)]): lastElmt = rowSums[0] - sum(firstRowM1) if lastElmt < 0 or lastElmt > colSums[-1]: continue prob = prob_of_table(firstRowM1 + (lastElmt,)) if prob <= p0 + 1e-9: # (1e-9 handles floating point round off) result += prob return result def log_choose(n, k): # Return log(n choose k). Compute using lgamma(x + 1) = log(x!) if not (0 <= k <= n): raise ValueError('%d is negative or more than %d' % (k, n)) return lgamma(n + 1) - lgamma(k + 1) - lgamma(n - k + 1) def gammainc_halfint(s, x): """ Lower incomplete gamma function = integral from 0 to x of t ** (s-1) exp(-t) dt divided by gamma(s), i.e., the fraction of gamma that you get if you integrate only until x instead of all the way to infinity. Implemented here only if s is a positive multiple of 0.5. """ # scipy equivalent: scipy.special.gammainc(s,x) if s <= 0: raise ValueError('%s is not positive' % s) if x < 0: raise ValueError('%s < 0' % x) if s * 2 != int(s * 2): raise NotImplementedError('%s is not a multiple of 0.5' % s) # Handle integers analytically if s == int(s): term = 1 total = 1 for k in range(1, int(s)): term *= x / k total += term return 1 - exp(-x) * total # Otherwise s is integer + 0.5. Decrease to 0.5 using recursion formula: result = 0.0 while s > 1: result -= x ** (s - 1) * exp(-x) / gamma(s) s = s - 1 # Then use gammainc(0.5, x) = erf(sqrt(x)) result += erf(sqrt(x)) return result def pchisq(x, k): "Cumulative distribution function of chi squared with k degrees of freedom." if k < 1 or k != int(k): raise ValueError('%s is not a positive integer' % k) if x < 0: raise ValueError('%s < 0' % x) return gammainc_halfint(k / 2, x / 2) ================================================ FILE: src/viral_ngs/core/trimmomatic.py ================================================ "Tool for trimmomatic." import logging import os import shutil import subprocess from . import samtools, picard # was: from viral_ngs import tools from . import file as util_file, misc as util_misc # was: from viral_ngs import util from . import Tool, PrexistingUnixCommand TOOL_NAME = "trimmomatic" _log = logging.getLogger(__name__) class TrimmomaticTool(Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(TrimmomaticTool, self).__init__(install_methods=install_methods) def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-version']).decode('UTF-8').strip() def execute(self, inFastq1, inFastq2, pairedOutFastq1, pairedOutFastq2, clipFasta, unpairedOutFastq1=None, unpairedOutFastq2=None, leading_q_cutoff=15, trailing_q_cutoff=15, minlength_to_keep=30, sliding_window_size=4, sliding_window_q_cutoff=25, maxinfo_target_length=None, maxinfo_strictness=None, threads=None ): '''Trim read sequences with Trimmomatic. Args: threads: Number of CPU threads to use. If None, Trimmomatic uses its default. ''' trimmomaticPath = self.install_and_get_path() unpairedFastq1 = unpairedOutFastq1 or util_file.mkstempfname() unpairedFastq2 = unpairedOutFastq2 or util_file.mkstempfname() javaCmd = [trimmomaticPath] # Build thread arguments if specified thread_args = [] if threads is not None: thread_count = util_misc.sanitize_thread_count(threads) thread_args = ['-threads', str(thread_count)] if inFastq2 is None or os.path.getsize(inFastq2) < 10: # Unpaired reads javaCmd.extend(['SE'] + thread_args + ['-phred33', inFastq1, unpairedFastq1]) else: # Paired reads javaCmd.extend(['PE'] + thread_args + ['-phred33', inFastq1, inFastq2, pairedOutFastq1, unpairedFastq1, pairedOutFastq2, unpairedFastq2 ]) # all the options javaCmd.extend( [ 'LEADING:{leading_q_cutoff}'.format(leading_q_cutoff=leading_q_cutoff), 'TRAILING:{trailing_q_cutoff}'.format(trailing_q_cutoff=trailing_q_cutoff), 'SLIDINGWINDOW:{sliding_window_size}:{sliding_window_q_cutoff}'.format( sliding_window_size=sliding_window_size, sliding_window_q_cutoff=sliding_window_q_cutoff, ) if not maxinfo_target_length else \ 'MAXINFO:{maxinfo_target_length}:{maxinfo_strictness}'.format( maxinfo_target_length=maxinfo_target_length, maxinfo_strictness=maxinfo_strictness, ), 'MINLEN:{minlength_to_keep}'.format(minlength_to_keep=minlength_to_keep), 'ILLUMINACLIP:{clipFasta}:2:30:12'.format(clipFasta=clipFasta) ] ) _log.debug(' '.join(javaCmd)) util_misc.run_and_print(javaCmd, check=True) if not unpairedOutFastq1: os.unlink(unpairedFastq1) if not unpairedOutFastq2: os.unlink(unpairedFastq2) ================================================ FILE: src/viral_ngs/core/version.py ================================================ #!/usr/bin/python ''' This gets the git version into python-land ''' __author__ = "dpark@broadinstitute.org" __version__ = None # import built-in import subprocess import os import re import time, datetime import os.path import inspect # module-level imports # Note: avoid circular import by importing misc directly, not the util package from . import misc as util_misc def get_project_path(include_derived_modules=True): '''Return the absolute path of the top-level project, if include_derived_modules==False: path is assumed to be the parent of the directory containing this script.''' # obtain path to this script (i.e. the script you're currently reading) path = __file__ path = os.path.expanduser(path) # interpret ~ path = os.path.abspath(path) # abspath converts relative to absolute path path = os.path.dirname(path) # containing directory: util path = os.path.dirname(path) # containing directory: main project dir # If we want to be more careful, look at derived Python # modules calling this one, look for a VERSION file to # determine validity of the various containing directories if include_derived_modules: ''' find a VERSION file relative to scripts in the Python call stack, looking from the outermost layer (closest to initial invocation) to the innermost call, and use the path of the first VERSION file found. This allows a derived module with its own VERSION file to report its versions rather than the core version. This falls back to using/finding the core path ''' for called_item in inspect.stack()[::-1]: # resolve symlinks so the project_path is relative to the actual location of the invoked script # (i.e. taxon_filter.py --version should resolve viral-classify/VERSION, not viral-core/VERSION) called_item_realpath = os.path.realpath(called_item.filename) dir_containing_called_item = os.path.dirname(called_item_realpath) potential_version_file_path = f"{dir_containing_called_item}/VERSION" if os.path.isfile(potential_version_file_path): path = dir_containing_called_item break return path def call_git_describe(): cwd = os.getcwd() try: os.chdir(get_project_path()) cmd = ['git', 'describe', '--tags', '--always', '--dirty'] result = util_misc.run_and_print(cmd, silent=True) ver = None if result.returncode == 0: out = result.stdout if not isinstance(out, str): out = out.decode('utf-8') ver = out.strip() except Exception: ver = None os.chdir(cwd) return ver def release_file(): return os.path.join(get_project_path(), 'VERSION') def read_release_version(): try: with open(release_file(), 'rt') as inf: version = inf.readlines()[0].strip() except Exception: version = None return version def write_release_version(version): with open(release_file(), 'wt') as outf: outf.write(version + '\n') def approx_version_number(): """ In the event that git is unavailable and the VERSION file is not present this returns a "version number" in the following precedence: - version number from path downloads of viral-ngs from GitHub tagged releases are likely to be extracted into directories containing the version number. If they contain a version number in the form d.d.d, we can use it - modification time of this file (unix timestamp) file modification time for github releases corresponds to when the release archives were created, a rough way to ballpark the release date. If we can't get the version number from the path we can at least use the modification time of this file as a proxy for the true version number - the current time (unix timestamp) the current time is better than not having any version number """ version = "" version_re = re.compile(r"(?:(\d+)\.)?(?:(\d+)\.)?(?:(\d+))") # path relative to version.py viral_ngs_path = os.path.basename(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) # for tagged releases, it is likely the version number is part of # the viral-ngs root directory name matches = version_re.search(viral_ngs_path) if matches and len([n for n in matches.groups() if n]) == 3: version = ".".join( map(str,matches.groups()) ) else: try: mtime = os.path.getmtime(__file__) except OSError: mtime = 0 if mtime > 0: # if we could get the modification time of the current file, use it version = str(int(mtime)) else: # just use the current time version = str(int(time.time())) return version def get_version(): global __version__ if __version__ is None: # First, try importlib.metadata (works for pip-installed packages # regardless of the current working directory) try: from importlib.metadata import version, PackageNotFoundError __version__ = version("viral-ngs") except (ImportError, PackageNotFoundError): pass # Fall back to git describe (for development in git clones) if __version__ is None: from_git = call_git_describe() from_file = read_release_version() if from_git: if from_file != from_git: write_release_version(from_git) __version__ = from_git else: __version__ = from_file # Last resort fallback if __version__ is None: __version__ = approx_version_number() return __version__ if __name__ == "__main__": print(get_version()) ================================================ FILE: src/viral_ngs/file_utils.py ================================================ #!/usr/bin/env python3 """ Utilities for dealing with files. """ __author__ = "tomkinsc@broadinstitute.org" __commands__ = [] import argparse import csv import logging import pandas from .core import file as util_file, misc as util_misc, cmd as util_cmd log = logging.getLogger(__name__) # ============================== # *** merge_tarballs *** # ============================== def merge_tarballs(out_tarball, in_tarballs, threads=None, extract_to_disk_path=None, pipe_hint_in=None, pipe_hint_out=None): ''' Merges separate tarballs into one tarball data can be piped in and/or out ''' util_file.repack_tarballs(out_tarball, in_tarballs, threads=threads, extract_to_disk_path=extract_to_disk_path, pipe_hint_in=pipe_hint_in, pipe_hint_out=pipe_hint_out) return 0 def parser_merge_tarballs(parser=argparse.ArgumentParser()): parser.add_argument( 'out_tarball', help='''output tarball (*.tar.gz|*.tar.lz4|*.tar.bz2|*.tar.zst|-); compression is inferred by the file extension. Note: if "-" is used, output will be written to stdout and --pipeOutHint must be provided to indicate compression type when compression type is not gzip (gzip is used by default). ''') parser.add_argument( 'in_tarballs', nargs='+', help=('input tarballs (*.tar.gz|*.tar.lz4|*.tar.bz2|*.tar.zst)') ) parser.add_argument('--extractToDiskPath', dest="extract_to_disk_path", help='If specified, the tar contents will also be extracted to a local directory.') parser.add_argument('--pipeInHint', dest="pipe_hint_in", default="gz", help='If specified, the compression type used is used for piped input.') parser.add_argument('--pipeOutHint', dest="pipe_hint_out", default="gz", help='If specified, the compression type used is used for piped output.') util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, merge_tarballs, split_args=True) return parser __commands__.append(('merge_tarballs', parser_merge_tarballs)) def parser_rename_fasta_sequences(parser=argparse.ArgumentParser()): parser.add_argument("in_fasta", help="input fasta sequences") parser.add_argument("out_fasta", help="output (renamed) fasta sequences") parser.add_argument("new_name", help="new sequence base name") parser.add_argument( "--suffix_always", help="append numeric index '-1' to if only one sequence exists in (default: %(default)s)", default=False, action="store_true", dest="suffix_always" ) util_cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) util_cmd.attach_main(parser, main_rename_fasta_sequences) return parser def main_rename_fasta_sequences(args): ''' Renames the sequences in a fasta file. Behavior modes: 1. If input file has exactly one sequence and suffix_always is False, then the output file's sequence is named new_name. 2. In all other cases, the output file's sequences are named - where is an increasing number from 1..<# of sequences> ''' n_seqs = util_file.fasta_length(args.in_fasta) with open(args.in_fasta, 'rt') as inf: with open(args.out_fasta, 'wt') as outf: if (n_seqs == 1) and not args.suffix_always: inf.readline() outf.write('>' + args.new_name + '\n') for line in inf: outf.write(line) else: i = 1 for line in inf: if line.startswith('>'): line = ">{}-{}\n".format(args.new_name, i) i += 1 outf.write(line) return 0 __commands__.append(('rename_fasta_sequences', parser_rename_fasta_sequences)) ## derived cols class Adder_Table_Map: def __init__(self, tab_file): self._mapper = {} self._default_col = None with open(tab_file, 'rt') as inf: reader = csv.DictReader(inf, delimiter='\t') self._col_name = reader.fieldnames[0] self._orig_cols = reader.fieldnames[1:] for row in reader: if all(v=='*' for k,v in row.items() if k in self._orig_cols): self._default_col = row.get(self._col_name) else: k = self._make_key_str(row) v = row.get(self._col_name, '') log.debug("setting {}={} if {}".format(self._col_name, v, k)) self._mapper[k] = v def _make_key_str(self, row): key_str = ':'.join('='.join((k,row.get(k,''))) for k in self._orig_cols) return key_str def extra_headers(self): return (self._col_name,) def modify_row(self, row): k = self._make_key_str(row) v = self._mapper.get(k) if v is None and self._default_col: v = row.get(self._default_col, '') row[self._col_name] = v return row class Adder_Source_Lab_Subset: def __init__(self, restrict_string): self._prefix = restrict_string.split(';')[0] self._restrict_map = dict(kv.split('=') for kv in restrict_string.split(';')[1].split(':')) def extra_headers(self): return (self._prefix + '_originating_lab', self._prefix + '_submitting_lab') def modify_row(self, row): if all((row.get(k) == v) for k,v in self._restrict_map.items()): row[self._prefix + '_originating_lab'] = row['originating_lab'] row[self._prefix + '_submitting_lab'] = row['submitting_lab'] return row def parser_tsv_derived_cols(parser=argparse.ArgumentParser()): parser.add_argument("in_tsv", type=str, help="input metadata") parser.add_argument("out_tsv", type=str, help="output metadata") parser.add_argument("--table_map", type=str, nargs='*', help="Mapping tables. Each mapping table is a tsv with a header. The first column is the output column name for this mapping (it will be created or overwritten). The subsequent columns are matching criteria. The value in the first column is written to the output column. The exception is in the case where all match columns are '*' -- in this case, the value in the first column is the column header name to copy over.") parser.add_argument("--lab_highlight_loc", type=str, help="This option copies the 'originating_lab' and 'submitting_lab' columns to new ones including a prefix, but only if they match certain criteria. The value of this string must be of the form prefix;col_header=value:col_header=value. For example, 'MA;country=USA:division=Massachusetts' will copy the originating_lab and submitting_lab columns to MA_originating_lab and MA_submitting_lab, but only for those rows where country=USA and division=Massachusetts.") util_cmd.common_args(parser, (('loglevel', None), ('version', None))) util_cmd.attach_main(parser, tsv_derived_cols, split_args=True) return parser def tsv_derived_cols(in_tsv, out_tsv, table_map=None, lab_highlight_loc=None): ''' Modify metadata table to compute derivative columns on the fly and add or replace new columns ''' adders = [] if table_map: for t in table_map: adders.append(Adder_Table_Map(t)) if lab_highlight_loc: adders.append(Adder_Source_Lab_Subset(lab_highlight_loc)) with open(in_tsv, 'rt') as inf: reader = csv.DictReader(inf, delimiter='\t') out_headers = reader.fieldnames for adder in adders: out_headers.extend(adder.extra_headers()) with open(out_tsv, 'wt') as outf: writer = csv.DictWriter(outf, out_headers, delimiter='\t') writer.writeheader() for row in reader: for adder in adders: adder.modify_row(row) writer.writerow(row) __commands__.append(('tsv_derived_cols', parser_tsv_derived_cols)) def parser_tsv_join(parser=argparse.ArgumentParser()): parser.add_argument("in_tsvs", nargs="+", type=str, help="input tsvs") parser.add_argument("out_tsv", type=str, help="output tsv") parser.add_argument("--join_id", type=str, required=True, help="column name to join on") util_cmd.common_args(parser, (('loglevel', None), ('version', None))) util_cmd.attach_main(parser, tsv_join, split_args=True) return parser def tsv_join(in_tsvs, out_tsv, join_id=None): ''' full outer join of tables ''' ''' schaluva implementation: df_list = list(pandas.read_csv(f, sep="\t") for f in in_tsvs) df_concat = pandas.concat(df_list, axis=0, ignore_index=True, sort=False).fillna('NA') pandas.DataFrame.to_csv(df_concat, out_tsv, sep='\t', na_rep='NA', index=False) but the above causes types to be parsed and re-outputted slightly differently (e.g. ints become floats) and importantly it doesn't actually join on a join key attempt to reimplement by hand ''' # prep all readers readers = list(csv.DictReader(open(fn, 'rt'), delimiter='\t') for fn in in_tsvs) # prep the output header header = [] for reader in readers: header.extend(reader.fieldnames) header = list(util_misc.unique(header)) if not join_id or join_id not in header: raise Exception() # merge everything in-memory out_ids = [] out_row_by_id = {} for reader in readers: for row in reader: row_id = row[join_id] row_out = out_row_by_id.get(row_id, {}) for h in header: # prefer non-empty values from earlier files in in_tsvs, populate from subsequent files only if missing if not row_out.get(h): row_out[h] = row.get(h, '') out_row_by_id[row_id] = row_out out_ids.append(row_id) out_ids = list(util_misc.unique(out_ids)) # write output with open(out_tsv, 'w', newline='') as outf: writer = csv.DictWriter(outf, header, delimiter='\t', dialect=csv.unix_dialect, quoting=csv.QUOTE_MINIMAL) writer.writeheader() writer.writerows(out_row_by_id[row_id] for row_id in out_ids) __commands__.append(('tsv_join', parser_tsv_join)) # ======================= def full_parser(): return util_cmd.make_parser(__commands__, __doc__) def main(): util_cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/illumina.py ================================================ #!/usr/bin/env python3 """ Utilities for demultiplexing Illumina data. """ __author__ = "dpark@broadinstitute.org" __commands__ = [] import argparse import concurrent.futures import csv import gc import glob import gzip import itertools import json import logging import os import os.path import re import shutil import sqlite3 import subprocess import tempfile import xml.etree.ElementTree from collections import Counter, defaultdict import arrow import matplotlib.pyplot as plt import numpy as np import pandas as pd from .core import picard from .core import samtools from .core import splitcode from . import read_utils from .core import file as util_file, misc as util_misc, cmd as util_cmd from .core.illumina_indices import IlluminaIndexReference, IlluminaBarcodeHelper from .core.illumina_utils import IlluminaDirectory, RunInfo, SampleSheet, SampleSheetError log = logging.getLogger(__name__) # ============================= # *** Utility Functions *** # ============================= def parse_illumina_fastq_filename(filename): """Parse Illumina FASTQ filename to extract metadata. Supports two filename formats: 1. DRAGEN format (with flowcell ID): {flowcell}_{lane}_{numeric_id}_{sample_name}_{S#}_{L00#}_{R#}_{chunk}.fastq[.gz] Example: 22J5GLLT4_6_0420593812_B13Pool1a_S1_L006_R1_001.fastq.gz 2. Simple bcl2fastq format (without flowcell ID): {sample_name}_{S#}_{L00#}_{R#}_{chunk}.fastq[.gz] Example: mebv-48-5_S17_L001_R1_001.fastq.gz Args: filename (str): FASTQ filename (with or without path) Returns: dict: Dictionary with extracted metadata fields: For DRAGEN format: - flowcell (str): Flowcell ID (typically 9 alphanumeric characters) - lane_short (int): Short lane number (1-8) - numeric_id (str): Numeric identifier - sample_name (str): Sample name (may contain underscores) - sample_number (int): Sample number (from S#) - lane (int): Full lane number (from L00#) - read (int): Read number (1 or 2) - chunk (int): Chunk number (typically 001) For simple format: - sample_name (str): Sample name - sample_number (int): Sample number (from S#) - lane (int): Lane number (from L00#) - read (int): Read number (1 or 2) - chunk (int): Chunk number (typically 001) Raises: ValueError: If filename doesn't match expected format """ if not filename: raise ValueError("Filename cannot be empty") # Extract basename and remove extensions basename = os.path.basename(filename) basename = basename.replace('.fastq.gz', '').replace('.fastq', '') # Try DRAGEN format first (with flowcell ID) # Pattern: {flowcell}_{lane}_{numeric_id}_{sample_name}_{S#}_{L00#}_{R#}_{chunk} # The tricky part: sample_name can contain underscores! # Strategy: Match from both ends and extract the middle as sample_name # DRAGEN pattern: we know the last 4 fields are always S#_L00#_R#_chunk # and the first 3 fields are flowcell_lane_numeric_id # Everything in between is the sample name dragen_pattern = r'^([A-Z0-9]{5,15})_(\d)_(\d{10})_(.+)_S(\d+)_L00(\d)_(R|I)(\d)_(\d{3})$' match = re.match(dragen_pattern, basename) if match: return { 'flowcell': match.group(1), 'lane_short': int(match.group(2)), 'numeric_id': match.group(3), 'sample_name': match.group(4), 'sample_number': int(match.group(5)), 'lane': int(match.group(6)), 'read': int(match.group(8)), 'chunk': int(match.group(9)), 'is_index': match.group(7) == 'I' } # Try simple bcl2fastq format (without flowcell ID) # Pattern: {sample_name}_{S#}_{L00#}_{R#}_{chunk} # Sample name cannot contain underscores followed by S# pattern simple_pattern = r'^(.+)_S(\d+)_L00(\d)_(R|I)(\d)_(\d{3})$' match = re.match(simple_pattern, basename) if match: return { 'sample_name': match.group(1), 'sample_number': int(match.group(2)), 'lane': int(match.group(3)), 'read': int(match.group(5)), 'chunk': int(match.group(6)), 'is_index': match.group(4) == 'I' } # If neither pattern matches, raise an error raise ValueError( f"Filename '{basename}' does not match expected Illumina FASTQ format. " f"Expected formats:\n" f" DRAGEN: {{flowcell}}_{{lane}}_{{numeric_id}}_{{sample_name}}_S#_L00#_R#_###.fastq[.gz]\n" f" Simple: {{sample_name}}_S#_L00#_R#_###.fastq[.gz]" ) def normalize_barcode(barcode): """Normalize an Illumina barcode sequence. Performs the following normalizations: 1. Converts to uppercase 2. Strips leading and trailing whitespace 3. Validates that only ACGTN characters are present Args: barcode (str): Barcode sequence to normalize Returns: str: Normalized barcode (uppercase, no whitespace) Raises: ValueError: If barcode contains invalid characters (not ACGTN) TypeError: If barcode is not a string Examples: >>> normalize_barcode("acgt") 'ACGT' >>> normalize_barcode(" CTGATCGT ") 'CTGATCGT' >>> normalize_barcode("acgtn") 'ACGTN' """ if not isinstance(barcode, str): raise TypeError(f"Barcode must be a string, got {type(barcode).__name__}") # Strip whitespace and convert to uppercase normalized = barcode.strip().upper() # Empty string is valid (allows for missing barcodes) if not normalized: return normalized # Validate characters (only ACGTN allowed) valid_chars = set('ACGTN') invalid_chars = set(normalized) - valid_chars if invalid_chars: raise ValueError( f"Barcode contains invalid characters: {sorted(invalid_chars)}. " f"Only ACGTN characters are allowed. Got: '{barcode}'" ) return normalized def barcode_n_fraction(barcode): """Calculate the fraction of N bases in a barcode. Args: barcode: Normalized barcode string Returns: float: Fraction of bases that are N (0.0 to 1.0) """ if not barcode: return 0.0 return barcode.count('N') / len(barcode) def barcode_matches_with_n(observed, expected): """Check if an observed barcode matches expected, treating N as wildcard. N bases in the observed barcode (from FASTQ header) are treated as wildcards that match any base. This handles sequencer no-call bases where a position couldn't be confidently determined. Note: N in the expected barcode (from samplesheet) is NOT a wildcard - it requires an exact N match in the observed barcode. Args: observed: Barcode from FASTQ header (may contain N wildcards) expected: Barcode from samplesheet (N requires exact match) Returns: bool: True if barcodes match (accounting for N wildcards in observed) Examples: >>> barcode_matches_with_n('ATCGATCG', 'ATCGATCG') True >>> barcode_matches_with_n('ATCNATCG', 'ATCGATCG') # N matches G True >>> barcode_matches_with_n('ATCGATCG', 'ATCNATCG') # N in expected requires exact N False >>> barcode_matches_with_n('NNNNNNNN', 'ATCGATCG') # All N matches anything True """ if len(observed) != len(expected): return False for obs_base, exp_base in zip(observed, expected): # N in observed matches any base in expected if obs_base == 'N': continue # Otherwise require exact match if obs_base != exp_base: return False return True def barcode_matches_fuzzy(observed, expected, max_mismatches=1): """Check if observed barcode matches expected, with N wildcards and mismatch tolerance. N bases in the observed barcode (from FASTQ header) are treated as wildcards and are NOT counted as mismatches. Non-N bases that differ from expected are counted as mismatches. Match succeeds if total mismatches <= max_mismatches. Args: observed: Barcode from FASTQ header (may contain N wildcards) expected: Barcode from samplesheet max_mismatches: Maximum allowed non-N mismatches (default: 1) Returns: tuple: (matches: bool, mismatch_count: int) Examples: >>> barcode_matches_fuzzy('ATCGATCG', 'ATCGATCG', 1) (True, 0) >>> barcode_matches_fuzzy('ATCGATCG', 'ATCAATCG', 1) # G->A at pos 3 (True, 1) >>> barcode_matches_fuzzy('ATCGATCG', 'ATAAATCG', 1) # 2 mismatches (False, 2) >>> barcode_matches_fuzzy('ATCNATCG', 'ATCGATCG', 0) # N is wildcard, not mismatch (True, 0) """ if len(observed) != len(expected): return False, len(observed) mismatches = 0 for obs_base, exp_base in zip(observed, expected): if obs_base == 'N': continue # wildcard, not a mismatch if obs_base != exp_base: mismatches += 1 if mismatches > max_mismatches: return False, mismatches # early exit return True, mismatches def match_barcodes_with_orientation(target_bc1, target_bc2, sample_rows, barcode_columns=('barcode_1', 'barcode_2'), max_mismatches=1): """ Match FASTQ barcodes against samplesheet with automatic i5 orientation detection. Due to Illumina chemistry changes over the years, the i5 index (barcode_2) may be written to FASTQ headers in either forward or reverse complement orientation depending on the sequencer model. This function automatically tries both orientations. N bases in FASTQ barcodes are treated as wildcards (sequencer no-call bases). However, barcodes with >50% N bases are rejected as too low confidence. Non-N mismatches up to max_mismatches are tolerated to handle cases where DRAGEN demultiplexing accepted reads with index mismatches. When multiple samplesheet barcode pairs match, the one with fewest total mismatches is preferred. If multiple distinct pairs tie at the same mismatch distance, the match is considered ambiguous. Note: Only barcode_2 orientation is auto-detected. barcode_1 (i7) orientation is consistent across all Illumina platforms. Tries matching in this order: 1. Direct match (both barcodes as-is) 2. Reverse complement barcode_2 only (i5 orientation difference) Args: target_bc1: Normalized barcode_1 from FASTQ header target_bc2: Normalized barcode_2 from FASTQ header (or None) sample_rows: List of sample row dicts from samplesheet barcode_columns: Tuple of column names to match against max_mismatches: Maximum allowed non-N mismatches per barcode (default: 1) Returns: tuple: (matched_rows, orientation_info) matched_rows: List of matching sample rows (empty if no match, ambiguous, or high N fraction) orientation_info: dict with keys: - 'barcode_2_revcomp': bool (True if reverse complement was needed) - 'matched_bc1': str. On successful match (no 'skipped_reason'), this is the samplesheet barcode_1 value. When 'skipped_reason' is set, this is the normalized barcode_1 observed in the FASTQ header. - 'matched_bc2': str. On successful match (no 'skipped_reason'), this is the samplesheet barcode_2 value. When 'skipped_reason' is set, this is the normalized barcode_2 observed in the FASTQ header. - 'skipped_reason': str (if empty results, why - 'high_n_fraction', 'ambiguous', or 'no_match') """ log = logging.getLogger(__name__) bc1_col, bc2_col = barcode_columns # Normalize input barcodes for case-insensitive matching target_bc1 = normalize_barcode(target_bc1) if target_bc1 else None target_bc2 = normalize_barcode(target_bc2) if target_bc2 else None # Check if barcodes have too many N bases (>50% = low confidence) bc1_n_frac = barcode_n_fraction(target_bc1) if target_bc1 else 0.0 bc2_n_frac = barcode_n_fraction(target_bc2) if target_bc2 else 0.0 if bc1_n_frac > 0.5 or bc2_n_frac > 0.5: log.warning(f"Skipping barcode match: too many N bases (bc1={bc1_n_frac:.0%}, bc2={bc2_n_frac:.0%}). " f"Barcodes: {target_bc1}+{target_bc2}") return [], { 'barcode_2_revcomp': False, 'matched_bc1': target_bc1, 'matched_bc2': target_bc2, 'skipped_reason': 'high_n_fraction', } def try_match(check_bc1, check_bc2): """Try matching with given barcode values using fuzzy matching. Uses barcode_matches_fuzzy() to handle N wildcards and tolerate mismatches. Returns matches with the fewest total mismatches. """ candidates = [] for row in sample_rows: sheet_bc1 = normalize_barcode(row.get(bc1_col, '')) sheet_bc2 = normalize_barcode(row.get(bc2_col, '')) bc1_ok, bc1_mm = barcode_matches_fuzzy(check_bc1, sheet_bc1, max_mismatches) if not bc1_ok: continue if check_bc2 is not None: bc2_ok, bc2_mm = barcode_matches_fuzzy(check_bc2, sheet_bc2, max_mismatches) if not bc2_ok: continue else: bc2_mm = 0 candidates.append((row, bc1_mm + bc2_mm)) if not candidates: return [] # Prefer matches with fewest total mismatches best_mm = min(mm for _, mm in candidates) return [row for row, mm in candidates if mm == best_mm] def check_ambiguous(matched_rows): """Check if matching produced ambiguous results. Returns True if matched rows have multiple distinct barcode pairs. """ if not matched_rows: return False unique_pairs = set() for row in matched_rows: sheet_bc1 = normalize_barcode(row.get(bc1_col, '')) sheet_bc2 = normalize_barcode(row.get(bc2_col, '')) unique_pairs.add((sheet_bc1, sheet_bc2)) return len(unique_pairs) > 1 def _samplesheet_barcodes(matched_rows): """Get authoritative samplesheet barcode values from matched rows.""" sheet_bc1 = normalize_barcode(matched_rows[0].get(bc1_col, '')) sheet_bc2 = normalize_barcode(matched_rows[0].get(bc2_col, '')) return sheet_bc1, sheet_bc2 # Try direct match first matched = try_match(target_bc1, target_bc2) if matched: if check_ambiguous(matched): log.warning(f"Skipping barcode match: fuzzy matching is ambiguous " f"(matched multiple distinct barcode pairs). Barcodes: {target_bc1}+{target_bc2}") return [], { 'barcode_2_revcomp': False, 'matched_bc1': target_bc1, 'matched_bc2': target_bc2, 'skipped_reason': 'ambiguous', } sheet_bc1, sheet_bc2 = _samplesheet_barcodes(matched) return matched, { 'barcode_2_revcomp': False, 'matched_bc1': sheet_bc1, 'matched_bc2': sheet_bc2, } # Try reverse complement of barcode_2 (i5 orientation issue) if target_bc2: target_bc2_rc = util_misc.reverse_complement(target_bc2) matched = try_match(target_bc1, target_bc2_rc) if matched: if check_ambiguous(matched): log.warning(f"Skipping barcode match: fuzzy matching is ambiguous " f"(matched multiple distinct barcode pairs). Barcodes: {target_bc1}+{target_bc2_rc}") return [], { 'barcode_2_revcomp': True, 'matched_bc1': target_bc1, 'matched_bc2': target_bc2_rc, 'skipped_reason': 'ambiguous', } sheet_bc1, sheet_bc2 = _samplesheet_barcodes(matched) return matched, { 'barcode_2_revcomp': True, 'matched_bc1': sheet_bc1, 'matched_bc2': sheet_bc2, } # No match found - return empty list with skipped_reason unique_bc_pairs = set() for row in sample_rows: bc1 = normalize_barcode(row.get(bc1_col, '')) bc2 = normalize_barcode(row.get(bc2_col, '')) unique_bc_pairs.add(f"{bc1}+{bc2}") log.warning( f"No samples found matching barcodes {target_bc1}+{target_bc2} " f"(also tried reverse complement of barcode_2). " f"Samplesheet contains barcode pairs: {sorted(unique_bc_pairs)[:10]}..." ) return [], { 'barcode_2_revcomp': False, 'matched_bc1': target_bc1, 'matched_bc2': target_bc2, 'skipped_reason': 'no_match', } def build_run_info_json( sequencing_center, run_start_date, read_structure, indexes, run_id, lane, flowcell, lane_count=None, surface_count=None, swath_count=None, tile_count=None, total_tile_count=None, sequencer_model=None ): """Build a run_info.json dictionary with standardized schema. This function consolidates run info JSON construction logic used by illumina_demux, splitcode_demux, and other demultiplexing functions. Args: sequencing_center (str): Sequencing center name run_start_date (str): Run start date in ISO format (YYYY-MM-DD) read_structure (str): Picard-style read structure (e.g., "76T8B8B76T") indexes (int): Number of index reads run_id (str): Run identifier (often flowcell.lane) lane (int): Lane number flowcell (str): Flowcell identifier lane_count (int, optional): Number of lanes in the flowcell surface_count (int, optional): Number of surfaces swath_count (int, optional): Number of swaths tile_count (int, optional): Number of tiles per lane total_tile_count (int, optional): Total number of tiles sequencer_model (str, optional): Sequencer model name Returns: dict: Dictionary with run metadata matching the standard schema. All numeric fields are converted to strings for JSON consistency. Examples: >>> info = build_run_info_json( ... sequencing_center="BROAD", ... run_start_date="2024-01-15", ... read_structure="76T8B76T", ... indexes=1, ... run_id="FC123.1", ... lane=1, ... flowcell="FC123" ... ) >>> info['flowcell'] 'FC123' """ run_info_data = { "sequencing_center": sequencing_center, "run_start_date": run_start_date, "read_structure": read_structure, "indexes": str(indexes), "run_id": run_id, "lane": str(lane), "flowcell": str(flowcell), } # Add optional fields if provided if lane_count is not None: run_info_data["lane_count"] = str(lane_count) if surface_count is not None: run_info_data["surface_count"] = str(surface_count) if swath_count is not None: run_info_data["swath_count"] = str(swath_count) if tile_count is not None: run_info_data["tile_count"] = str(tile_count) if total_tile_count is not None: run_info_data["total_tile_count"] = str(total_tile_count) if sequencer_model is not None: run_info_data["sequencer_model"] = sequencer_model return run_info_data # ============================== # *** illumina_metadata *** # ============================== def illumina_metadata( runinfo, samplesheet, lane=None, sequencing_center=None, append_run_id=False, out_runinfo=None, out_meta_by_sample=None, out_meta_by_filename=None ): """ Generate metadata JSON files from Illumina run files without processing reads. This function extracts metadata from RunInfo.xml and SampleSheet, generating standardized JSON output files. It is designed to be run once per sequencing run to create metadata that's shared across all parallel demux jobs. Args: runinfo (str): Path to RunInfo.xml file samplesheet (str): Path to Illumina SampleSheet.csv file lane (int, optional): Lane number to process. If not specified: - All lanes from samplesheet will be processed - Output run_info.json will use lane="0" - Sample metadata will preserve lane values from samplesheet if present, else use "0" sequencing_center (str, optional): Sequencing center name. If not provided, will be derived from the instrument ID in RunInfo.xml. append_run_id (bool, optional): If True, append flowcell ID and lane to library IDs in the format: {sample}.l{library_id}.{flowcell}.{lane} This matches the behavior of illumina_demux and splitcode_demux_fastqs when using --append_run_id, ensuring metadata 'run' fields match BAM filenames. Default: False. out_runinfo (str, optional): Output path for run_info.json out_meta_by_sample (str, optional): Output path for meta_by_sample.json out_meta_by_filename (str, optional): Output path for meta_by_filename.json Returns: dict: Dictionary containing paths to generated files Raises: FileNotFoundError: If runinfo or samplesheet files don't exist IOError: If there are issues reading input files or writing output files Example: >>> illumina_metadata( ... runinfo='RunInfo.xml', ... samplesheet='SampleSheet.csv', ... lane=1, ... out_runinfo='run_info.json', ... out_meta_by_sample='meta_by_sample.json', ... out_meta_by_filename='meta_by_filename.json' ... ) """ # Validate input files exist if not os.path.exists(runinfo): raise FileNotFoundError(f"RunInfo.xml not found: {runinfo}") # Samplesheet is only required when sample metadata is requested if out_meta_by_sample or out_meta_by_filename: if samplesheet is None: raise ValueError("--samplesheet is required when generating sample metadata " "(--out_meta_by_sample or --out_meta_by_filename)") if not os.path.exists(samplesheet): raise FileNotFoundError(f"SampleSheet not found: {samplesheet}") elif samplesheet is not None and not os.path.exists(samplesheet): raise FileNotFoundError(f"SampleSheet not found: {samplesheet}") # Parse RunInfo.xml runinfo_obj = RunInfo(runinfo) # Derive sequencing center from RunInfo if not provided if sequencing_center is None: sequencing_center = runinfo_obj.get_machine() log.info(f"Using sequencing center from RunInfo.xml: {sequencing_center}") # Build run_id string for library IDs if requested (matches demux commands) if append_run_id: flowcell = runinfo_obj.get_flowcell() run_id_str = f"{flowcell}.{lane if lane is not None else 0}" else: run_id_str = None # Parse SampleSheet only when needed (sample metadata requested or provided) samples = None if samplesheet is not None: # Note: allow_non_unique=True is needed for 3-barcode samplesheets where # multiple samples share outer barcodes (barcode_1 + barcode_2) and differ # only in inner barcodes (barcode_3) samples = SampleSheet( samplesheet, only_lane=lane, allow_non_unique=True, append_run_id=run_id_str ) output_files = {} # Generate run_info.json using utility function if out_runinfo: run_info_dict = build_run_info_json( sequencing_center=sequencing_center, run_start_date=runinfo_obj.get_rundate_iso(), read_structure=runinfo_obj.get_read_structure(), indexes=str(runinfo_obj.get_read_structure().count('B')), run_id=runinfo_obj.get_run_id(), lane=str(lane if lane is not None else 0), flowcell=str(runinfo_obj.get_flowcell()), lane_count=runinfo_obj.get_lane_count(), surface_count=runinfo_obj.get_surface_count(), swath_count=runinfo_obj.get_swath_count(), tile_count=runinfo_obj.get_tile_count(), total_tile_count=runinfo_obj.tile_count(), sequencer_model=runinfo_obj.get_machine_model() ) with open(out_runinfo, 'wt') as outf: json.dump(run_info_dict, outf, indent=2) output_files['run_info'] = out_runinfo # Generate sample metadata JSONs if out_meta_by_sample or out_meta_by_filename: # Get sample metadata and add lane sample_meta = list(samples.get_rows()) for row in sample_meta: row["lane"] = str(lane) if lane is not None else row.get("lane", "0") if out_meta_by_sample: with open(out_meta_by_sample, 'wt') as outf: json.dump(dict((r["sample"], r) for r in sample_meta), outf, indent=2) output_files['meta_by_sample'] = out_meta_by_sample if out_meta_by_filename: with open(out_meta_by_filename, 'wt') as outf: json.dump(dict((r["run"], r) for r in sample_meta), outf, indent=2) output_files['meta_by_filename'] = out_meta_by_filename # Log generated files log.info(f"Generated {len(output_files)} metadata file(s):") for key, path in output_files.items(): log.info(f" {key}: {path}") return output_files def parser_illumina_metadata(parser=argparse.ArgumentParser()): """ Argument parser for illumina_metadata entry point. """ parser.add_argument( '--runinfo', required=True, help='Path to RunInfo.xml file' ) parser.add_argument( '--samplesheet', required=False, default=None, help='Path to Illumina SampleSheet.csv file (required for --out_meta_by_sample and --out_meta_by_filename)' ) parser.add_argument( '--lane', required=False, type=int, default=None, help='Lane number to process (optional; if not specified, processes all lanes and uses default value of 0 in outputs)' ) parser.add_argument( '--sequencing_center', default=None, help='Sequencing center name (default: derived from instrument ID in RunInfo.xml)' ) parser.add_argument( '--append_run_id', action='store_true', help='Append flowcell ID and lane to library IDs (e.g., sample.l1.FLOWCELL.1) for SRA compatibility' ) parser.add_argument( '--out_runinfo', help='Output path for run_info.json' ) parser.add_argument( '--out_meta_by_sample', help='Output path for meta_by_sample.json (sample metadata indexed by sample name)' ) parser.add_argument( '--out_meta_by_filename', help='Output path for meta_by_filename.json (sample metadata indexed by library ID)' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, illumina_metadata, split_args=True) return parser __commands__.append(('illumina_metadata', parser_illumina_metadata)) # =================================== # *** splitcode_demux_fastqs *** # =================================== # This function is called in new processes and must remain at the top level # (global scope) of this file to be picklable and thus compatible with # concurrent.futures.ProcessPoolExecutor() # See: https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor def run_picard_fastq_to_sam_for_splitcode_demux( sample_library_id, sample_name, bc_r1, bc_r2, outdir, picard_opts_dict, jvm_memory='2g', string_to_log=None ): """ Convert a pair of splitcode-demuxed FASTQs to an unaligned BAM file. This function is designed to be called in parallel worker processes via ProcessPoolExecutor. It encapsulates all the logic for converting a single sample's FASTQs to BAM. Args: sample_library_id (str): Library ID from samplesheet (used for logging) sample_name (str): Sample name for BAM (SAMPLE field in @RG) bc_r1 (str): Path to R1 FASTQ file bc_r2 (str): Path to R2 FASTQ file outdir (str): Output directory for BAM picard_opts_dict (dict): Picard options as dict (will be converted to list) jvm_memory (str): JVM memory allocation (e.g., '2g') string_to_log (str): Optional message to log when starting Returns: tuple: (sample_name, output_bam, read_pairs, sample_library_id) - sample_name: Sample name from input - output_bam: Path to created BAM file - read_pairs: Number of read pairs in the BAM - sample_library_id: Library ID from input (for error tracking) Raises: FileNotFoundError: If input FASTQs don't exist subprocess.CalledProcessError: If Picard or samtools fails """ if string_to_log: log.info(string_to_log) # Verify input FASTQs exist if not os.path.exists(bc_r1) or not os.path.exists(bc_r2): raise FileNotFoundError( f"Input FASTQs not found for {sample_library_id}: {bc_r1}, {bc_r2}" ) output_bam = os.path.join(outdir, f"{sample_library_id}.bam") # Convert dict to Picard options list picard_tool = picard.FastqToSamTool() picard_opts = picard_tool.dict_to_picard_opts(picard_opts_dict) # Execute Picard FastqToSam picard_tool.execute( bc_r1, bc_r2, sample_name, output_bam, picardOptions=picard_opts, JVMmemory=jvm_memory ) # Count read pairs samtools_tool = samtools.SamtoolsTool() total_reads = samtools_tool.count(output_bam) read_pairs = total_reads // 2 return (sample_name, output_bam, read_pairs, sample_library_id) def _parse_barcode_from_header(header_line): """Parse barcode sequences from an Illumina FASTQ header line. Expects the standard Illumina format: @INST:RUN:FC:LANE:TILE:X:Y READ:FILTERED:CONTROL:BARCODE Args: header_line: A single FASTQ header line (with or without leading @) Returns: tuple: (bc1_raw, bc2_raw_or_None) raw barcode strings, or (None, None) if the header cannot be parsed. """ parts = header_line.strip().split() if len(parts) < 2: return None, None metadata_field = parts[-1] metadata_parts = metadata_field.split(':') if len(metadata_parts) < 4: return None, None barcode_field = metadata_parts[3] if '+' in barcode_field: bc1_raw, bc2_raw = barcode_field.split('+', 1) return bc1_raw, bc2_raw else: return barcode_field, None def consensus_barcode_from_fastq(fastq_path, num_reads=10): """Read first N reads from a FASTQ and form a consensus barcode sequence. For each position in the barcode, takes the majority base across all reads. N bases are excluded from the vote (treated as missing data). If all reads have N at a position, the consensus is N. Args: fastq_path: Path to FASTQ file (may be gzipped) num_reads: Number of reads to examine (default: 10) Returns: tuple: (barcode_1, barcode_2_or_None) normalized consensus barcodes, or (None, None) if file is empty (no reads). Raises: ValueError: If the FASTQ has reads but none have parseable barcode headers. """ log = logging.getLogger(__name__) bc1_list = [] bc2_list = [] headers_seen = 0 with util_file.open_or_gzopen(fastq_path, 'rt') as f: reads_found = 0 for line_num, line in enumerate(f): # FASTQ format: header is every 4th line starting at line 0 if line_num % 4 != 0: continue headers_seen += 1 if reads_found >= num_reads: break bc1_raw, bc2_raw = _parse_barcode_from_header(line) if bc1_raw is None: continue try: bc1_list.append(normalize_barcode(bc1_raw)) if bc2_raw is not None: bc2_list.append(normalize_barcode(bc2_raw)) except ValueError: continue # skip reads with invalid barcode characters reads_found += 1 if not bc1_list: if headers_seen > 0: raise ValueError( f"FASTQ file has reads but no parseable barcode headers in first " f"{headers_seen} reads: {fastq_path}" ) return None, None def _position_consensus(bases_at_position): """Return majority base at a position, ignoring N. Requires strict majority (>50% of non-N bases). Returns N if there is no clear winner (e.g., a tie). """ non_n = [b for b in bases_at_position if b != 'N'] if not non_n: return 'N' counts = Counter(non_n) top_base, top_count = counts.most_common(1)[0] if top_count * 2 <= len(non_n): return 'N' # no strict majority (tie or split) return top_base # Build consensus for bc1 bc1_len = len(bc1_list[0]) consensus_bc1 = ''.join( _position_consensus([bc[i] for bc in bc1_list if len(bc) > i]) for i in range(bc1_len) ) # Build consensus for bc2 if present consensus_bc2 = None if bc2_list: bc2_len = len(bc2_list[0]) consensus_bc2 = ''.join( _position_consensus([bc[i] for bc in bc2_list if len(bc) > i]) for i in range(bc2_len) ) log.debug(f"Consensus barcode from {len(bc1_list)} reads: {consensus_bc1}+{consensus_bc2}") return consensus_bc1, consensus_bc2 def splitcode_demux_fastqs( fastq_r1, fastq_r2, samplesheet, outdir, runinfo=None, sequencing_center=None, flowcell_id=None, run_date=None, append_run_id=False, max_hamming_dist=1, r1_trim_bp_right_of_barcode=None, r2_trim_bp_left_of_barcode=None, predemux_r1_trim_5prime_num_bp=None, predemux_r1_trim_3prime_num_bp=None, predemux_r2_trim_5prime_num_bp=None, predemux_r2_trim_3prime_num_bp=None, threads=None, picard_jvm_memory='2g', out_meta_by_sample=None, out_meta_by_filename=None, max_barcode_mismatches=1, num_reads_for_barcode=10 ): """ Simplified splitcode demultiplexing from paired DRAGEN FASTQ files. This function performs 3-barcode demultiplexing directly from paired FASTQ files. It's designed to run in parallel across multiple FASTQ pairs. For samples with empty barcode_3 (2-barcode samples), it skips splitcode and performs direct FASTQ → BAM conversion. Picard FastqToSam conversions are parallelized using ProcessPoolExecutor with the number of workers controlled by the 'threads' parameter. For optimal performance with N samples, use threads=min(N, num_cpus). Args: fastq_r1 (str): Path to R1 FASTQ file fastq_r2 (str): Path to R2 FASTQ file samplesheet (str): Path to custom 3-barcode samplesheet (TSV format) outdir (str): Output directory for BAM files and metrics runinfo (str): Path to RunInfo.xml (optional, but recommended for richer BAM metadata including RUN_DATE, SEQUENCING_CENTER, and PLATFORM_UNIT) sequencing_center (str): Sequencing center name (default: None, uses runinfo.get_machine() if available) flowcell_id (str): Override flowcell ID (default: None, extracted from FASTQ filename or RunInfo.xml) run_date (str): Override run date in YYYY-MM-DD format (default: None, read from RunInfo.xml) append_run_id (bool): If True, output BAM filenames will include flowcell ID and lane in the format: {sample}.l{library_id}.{flowcell}.{lane}.bam If False (default): {sample}.l{library_id}.bam max_hamming_dist (int): Maximum Hamming distance for barcode matching (default: 1) r1_trim_bp_right_of_barcode (int): Additional bp to trim from R1 after barcode r2_trim_bp_left_of_barcode (int): Additional bp to trim from R2 before barcode predemux_r1_trim_5prime_num_bp (int): Trim from R1 5' end before demux predemux_r1_trim_3prime_num_bp (int): Trim from R1 3' end before demux predemux_r2_trim_5prime_num_bp (int): Trim from R2 5' end before demux predemux_r2_trim_3prime_num_bp (int): Trim from R2 3' end before demux threads (int): Number of threads for splitcode and parallel Picard conversions (default: auto-detect) picard_jvm_memory (str): JVM memory allocation per Picard worker (default: '2g') out_meta_by_sample (str, optional): Output path for meta_by_sample.json. Contains sample metadata keyed by sample name. out_meta_by_filename (str, optional): Output path for meta_by_filename.json. Contains sample metadata keyed by 'run' field (matches BAM basenames when append_run_id=True). This is the critical output for fixing metadata/BAM filename mismatches in Terra table insertion. max_barcode_mismatches (int): Maximum allowed non-N mismatches per outer barcode when matching FASTQ barcodes to samplesheet (default: 1). DRAGEN tolerates index mismatches during demux, so FASTQ reads may carry barcodes that differ by 1-2 bases from the samplesheet. num_reads_for_barcode (int): Number of reads to examine from the FASTQ to form a consensus barcode sequence (default: 10). Using multiple reads avoids relying on a single read that may have a mismatched index. Raises: FileNotFoundError: If FASTQ or samplesheet files don't exist ValueError: If samplesheet format is invalid Example: >>> splitcode_demux_fastqs( ... fastq_r1='Pool1_R1.fastq.gz', ... fastq_r2='Pool1_R2.fastq.gz', ... samplesheet='samples_3bc.tsv', ... outdir='demux_out' ... ) Outputs: - Per-sample unaligned BAMs (zero to many, depending on samplesheet matches) - demux_metrics.json: Read counts per sample (or reason for no output) - demux_metrics_picard-style.txt: Picard-style metrics Note: - If the input FASTQ is empty or its barcodes don't match the samplesheet, zero BAMs are produced but metrics files are still generated to document the reason (demux_type field). - This simplified function does NOT generate barcodes_common.txt or barcodes_outliers.txt. For comprehensive barcode reporting, use illumina_demux or splitcode_demux instead. """ # Validate inputs if not os.path.exists(fastq_r1): raise FileNotFoundError(f"R1 FASTQ not found: {fastq_r1}") if not os.path.exists(fastq_r2): raise FileNotFoundError(f"R2 FASTQ not found: {fastq_r2}") if not os.path.exists(samplesheet): raise FileNotFoundError(f"Samplesheet not found: {samplesheet}") if max_barcode_mismatches < 0: raise ValueError(f"max_barcode_mismatches must be >= 0, got {max_barcode_mismatches}") if num_reads_for_barcode < 1: raise ValueError(f"num_reads_for_barcode must be >= 1, got {num_reads_for_barcode}") # Parse RunInfo.xml if provided (unless flowcell_id and run_date both overridden) runinfo_obj = None flowcell = flowcell_id # Use CLI override if provided run_date_val = run_date # Use CLI override if provided if runinfo or flowcell is None or run_date_val is None or sequencing_center is None: if runinfo: if not os.path.exists(runinfo): raise FileNotFoundError(f"RunInfo.xml not found: {runinfo}") runinfo_obj = RunInfo(runinfo) # Only extract from RunInfo if not provided via CLI if flowcell is None: flowcell = runinfo_obj.get_flowcell() if run_date_val is None: run_date_val = runinfo_obj.get_rundate_iso() # Use machine as sequencing_center if not specified if sequencing_center is None: sequencing_center = runinfo_obj.get_machine() log.info(f"Using sequencing center from RunInfo: {sequencing_center}") # Set default threads if not provided threads = threads or util_misc.available_cpu_count() # Create output directory os.makedirs(outdir, exist_ok=True) # Parse FASTQ filename to extract metadata fastq_metadata = parse_illumina_fastq_filename(fastq_r1) pool_name = fastq_metadata['sample_name'] lane = fastq_metadata['lane'] log.info(f"Processing pool: {pool_name}, lane: {lane}") # Build run_id for BAM filenames if requested if append_run_id: if not flowcell: raise ValueError("append_run_id=True requires flowcell (from RunInfo.xml or --flowcell_id)") run_id_str = f"{flowcell}.{lane}" else: run_id_str = None # Extract outer barcodes (barcode_1 + barcode_2) from FASTQ headers # DRAGEN FASTQs have headers like: @INSTRUMENT:...:BARCODE where BARCODE is "BC1+BC2" # We read multiple reads and form a consensus to avoid relying on a single read # that may have a mismatched index (DRAGEN tolerates index mismatches). target_bc1, target_bc2 = consensus_barcode_from_fastq(fastq_r1, num_reads=num_reads_for_barcode) # Handle empty FASTQ files (e.g., NTC samples with zero reads) # Since we can't read barcode from an empty FASTQ, we emit zero BAMs but still # generate metrics to document why no output was produced. if target_bc1 is None: log.warning(f"FASTQ file contains no reads (or no parseable barcodes): {fastq_r1}") log.info("Producing metrics files with zero read counts (no BAM output)") # Create output directory if needed os.makedirs(outdir, exist_ok=True) # Generate metrics showing 0 reads metrics = { 'demux_type': 'empty_input', 'samples': { pool_name: { 'sample_library_id': pool_name, 'read_count': 0 } } } metrics_file = os.path.join(outdir, 'demux_metrics.json') with open(metrics_file, 'w') as f: json.dump(metrics, f, indent=2) # Generate Picard-style metrics with 0 reads picard_style_metrics_path = os.path.join(outdir, 'demux_metrics_picard-style.txt') with open(picard_style_metrics_path, 'w') as f: f.write("## METRICS CLASS\tviral-core.splitcode_demux_fastqs.empty\n") columns = [ "BARCODE", "BARCODE_WITHOUT_DELIMITER", "BARCODE_NAME", "LIBRARY_NAME", "READS", "PF_READS", "PERFECT_MATCHES", "PF_PERFECT_MATCHES", "ONE_MISMATCH_MATCHES", "PF_ONE_MISMATCH_MATCHES", "PCT_MATCHES", "RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_PCT_MATCHES", "PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_NORMALIZED_MATCHES", "DEMUX_TYPE" ] f.write("\t".join(columns) + "\n") values = [ "N/A", "N/A", pool_name, pool_name, "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "empty_input" ] f.write("\t".join(values) + "\n") return log.info(f"Consensus outer barcodes from FASTQ ({num_reads_for_barcode} reads): {target_bc1}+{target_bc2}") # Load custom 3-barcode samplesheet # Note: The samplesheet may contain multiple pools, filter to only this pool's outer barcodes samples = SampleSheet(samplesheet, allow_non_unique=True, append_run_id=run_id_str) # Filter sample_rows to only those matching the outer barcodes from the FASTQ # Uses auto-detection for i5 (barcode_2) orientation differences across Illumina platforms all_sample_rows = list(samples.get_rows()) sample_rows, orientation_info = match_barcodes_with_orientation( target_bc1, target_bc2, all_sample_rows, max_mismatches=max_barcode_mismatches ) # Log if i5 orientation auto-detection was used if orientation_info.get('barcode_2_revcomp'): log.info(f"Auto-detected i5 reverse complement orientation: " f"FASTQ barcode_2 {target_bc2} matched samplesheet {orientation_info['matched_bc2']}") log.info(f"Filtered samplesheet to {len(sample_rows)} samples matching outer barcodes") # Handle case where no samples matched the barcodes # This can happen due to: # - Barcodes not in samplesheet (e.g., contaminant reads, barcode hopping) # - High N fraction in observed barcodes (low sequencer confidence) # - Ambiguous N-wildcard matching (matched multiple distinct barcode pairs) # We emit zero BAMs but still generate metrics to document why no output was produced. if not sample_rows: skipped_reason = orientation_info.get('skipped_reason', 'no_match') log.warning(f"No samples matched barcodes {target_bc1}+{target_bc2} (reason: {skipped_reason})") log.info("Producing metrics files with zero read counts (no BAM output)") # Create output directory if needed os.makedirs(outdir, exist_ok=True) # Generate metrics showing 0 reads metrics = { 'demux_type': f'no_barcode_match ({skipped_reason})', 'samples': { pool_name: { 'sample_library_id': pool_name, 'read_count': 0 } } } metrics_file = os.path.join(outdir, 'demux_metrics.json') with open(metrics_file, 'w') as f: json.dump(metrics, f, indent=2) # Generate Picard-style metrics with 0 reads picard_style_metrics_path = os.path.join(outdir, 'demux_metrics_picard-style.txt') with open(picard_style_metrics_path, 'w') as f: f.write(f"## METRICS CLASS\tviral-core.splitcode_demux_fastqs.no_match\n") columns = [ "BARCODE", "BARCODE_WITHOUT_DELIMITER", "BARCODE_NAME", "LIBRARY_NAME", "READS", "PF_READS", "PERFECT_MATCHES", "PF_PERFECT_MATCHES", "ONE_MISMATCH_MATCHES", "PF_ONE_MISMATCH_MATCHES", "PCT_MATCHES", "RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_PCT_MATCHES", "PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_NORMALIZED_MATCHES", "DEMUX_TYPE" ] f.write("\t".join(columns) + "\n") barcode_str = f"{target_bc1}+{target_bc2}" if target_bc2 else target_bc1 values = [ barcode_str, barcode_str.replace('+', ''), pool_name, pool_name, "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", skipped_reason ] f.write("\t".join(values) + "\n") return # Extract samplesheet-authoritative barcode values for use in metrics and platform_unit. # These are the ground truth from the samplesheet, not the FASTQ-observed values # which may contain Ns or mismatches. auth_bc1 = orientation_info.get('matched_bc1', target_bc1) auth_bc2 = orientation_info.get('matched_bc2', target_bc2) # Now check if the FILTERED samples are 2-barcode or 3-barcode has_3bc_samples = any(row.get('barcode_3', '').strip() for row in sample_rows) has_2bc_samples = any(not row.get('barcode_3', '').strip() for row in sample_rows) if has_2bc_samples and not has_3bc_samples: # All samples are 2-barcode → skip splitcode, do direct FASTQ→BAM log.info("2-barcode sample detected - bypassing splitcode, performing direct FASTQ→BAM conversion") # Get the sample name and library ID from the 'run' column (includes run_id if append_run_id was set) sample_name = sample_rows[0]['sample'] sample_library_id = sample_rows[0]['run'] output_bam = os.path.join(outdir, f"{sample_library_id}.bam") # Build platform unit: .. # Uses samplesheet-authoritative barcode values (auth_bc1/auth_bc2) platform_unit = None if flowcell and auth_bc1: if auth_bc2: barcode_str = f"{auth_bc1}-{auth_bc2}" else: barcode_str = auth_bc1 platform_unit = f"{flowcell}.{lane}.{barcode_str}" # Use samtools import for multi-threaded FASTQ→BAM conversion samtools_tool = samtools.SamtoolsTool() samtools_tool.import_fastq( fastq_r1, fastq_r2, output_bam, sample_name=sample_name, library_name=sample_library_id, platform='illumina', platform_unit=platform_unit, sequencing_center=sequencing_center, run_date=run_date_val, threads=threads ) # Generate metrics with consistent schema (nested samples dict) total_reads = samtools_tool.count(output_bam) # Divide by 2 because samtools.count() returns total reads (R1+R2), # but we want to report read pairs read_pairs = total_reads // 2 metrics = { 'demux_type': '2-barcode (no splitcode)', 'samples': { sample_name: { 'sample_library_id': sample_library_id, 'read_count': read_pairs } } } metrics_file = os.path.join(outdir, 'demux_metrics.json') with open(metrics_file, 'w') as f: json.dump(metrics, f, indent=2) # Generate Picard-style TSV metrics for 2-barcode case # Create a simple single-row metrics file picard_style_metrics_path = os.path.join(outdir, 'demux_metrics_picard-style.txt') try: with open(picard_style_metrics_path, 'w') as f: # Write Picard-style header f.write("## METRICS CLASS\tviral-core.splitcode_demux_fastqs.dragen\n") # Column headers columns = [ "BARCODE", "BARCODE_WITHOUT_DELIMITER", "BARCODE_NAME", "LIBRARY_NAME", "READS", "PF_READS", "PERFECT_MATCHES", "PF_PERFECT_MATCHES", "ONE_MISMATCH_MATCHES", "PF_ONE_MISMATCH_MATCHES", "PCT_MATCHES", "RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_PCT_MATCHES", "PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_NORMALIZED_MATCHES", "DEMUX_TYPE" ] f.write("\t".join(columns) + "\n") # Data row - for 2-barcode case, all reads belong to this one sample (100%) # Use samplesheet-authoritative barcode values (not FASTQ-observed) barcode_str = f"{auth_bc1}-{auth_bc2}" if auth_bc2 else auth_bc1 values = [ barcode_str, # BARCODE barcode_str.replace('-', ''), # BARCODE_WITHOUT_DELIMITER sample_name, # BARCODE_NAME sample_library_id, # LIBRARY_NAME str(read_pairs), # READS str(read_pairs), # PF_READS (assume all pass filter) str(read_pairs), # PERFECT_MATCHES (assume all reads match perfectly) str(read_pairs), # PF_PERFECT_MATCHES "0", # ONE_MISMATCH_MATCHES (none, since all are perfect) "0", # PF_ONE_MISMATCH_MATCHES "1.0", # PCT_MATCHES (100%) "1.0", # RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT (100%, it's the only one) "1.0", # PF_PCT_MATCHES (100%) "1.0", # PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT (100%) "1.0", # PF_NORMALIZED_MATCHES "dragen" # DEMUX_TYPE ] f.write("\t".join(values) + "\n") log.info(f"Generated Picard-style metrics: {picard_style_metrics_path}") except Exception as e: log.warning(f"Failed to generate Picard-style metrics for 2-barcode case: {e}") # Generate sample metadata JSONs if requested # The sample_rows already have 'run' field set from SampleSheet with append_run_id # We just need to update the 'lane' field to use actual lane from FASTQ filename if out_meta_by_sample or out_meta_by_filename: sample_meta = [] for row in sample_rows: meta_row = dict(row) # Copy all samplesheet columns meta_row['lane'] = str(lane) # Use actual lane from FASTQ filename (critical fix) sample_meta.append(meta_row) if out_meta_by_sample: with open(out_meta_by_sample, 'wt') as outf: json.dump(dict((r['sample'], r) for r in sample_meta), outf, indent=2) log.info(f"Generated meta_by_sample.json: {out_meta_by_sample}") if out_meta_by_filename: with open(out_meta_by_filename, 'wt') as outf: json.dump(dict((r['run'], r) for r in sample_meta), outf, indent=2) log.info(f"Generated meta_by_filename.json: {out_meta_by_filename}") elif has_3bc_samples: # 3-barcode samples → run splitcode demux log.info("3-barcode samples detected - running splitcode demultiplexing") # Check if the FILTERED samples can be collapsed (outer barcodes are collapsible) # We need to check only the filtered sample_rows, not the entire samplesheet # Create a temporary dataframe from filtered sample_rows to check collapsibility sample_rows_df = pd.DataFrame(sample_rows) # Group by outer barcodes to verify all samples in this pool share the same outer barcodes grouping_cols = ["barcode_1"] if "barcode_2" in sample_rows_df.columns: grouping_cols.append("barcode_2") # For 3-barcode demux, all samples must share the same outer barcodes (be collapsible) duplicated_mask = sample_rows_df.duplicated(subset=grouping_cols, keep=False) if not duplicated_mask.any(): raise ValueError( "The outer (barcode_1, barcode_2) sequences in the filtered sample rows do not appear to be collapsible. " "For 3-barcode demux, all samples in a pool must share the same outer barcodes." ) # Create the inner demux barcode map using SampleSheet method # This creates a dataframe with all samples from the samplesheet inner_demux_barcode_map_df = samples.inner_demux_mapper() # Filter the dataframe to only samples matching the outer barcodes from FASTQ header # Use orientation-corrected barcodes from match_barcodes_with_orientation (issue #133) # AND use N-wildcard matching to handle N bases in observed barcodes matched_bc1 = orientation_info.get('matched_bc1', target_bc1) matched_bc2 = orientation_info.get('matched_bc2', target_bc2) # Filter using N-wildcard aware matching (not exact string ==) # This handles N bases in the FASTQ barcodes (sequencer no-calls) if matched_bc2: # Use apply() with barcode_matches_with_n() for N-wildcard matching # Note: observed barcode (from FASTQ) may have N, expected (from samplesheet) should not filtered_df = inner_demux_barcode_map_df[ inner_demux_barcode_map_df.apply( lambda row: ( barcode_matches_with_n(matched_bc1, normalize_barcode(row['barcode_1'])) and barcode_matches_with_n(matched_bc2, normalize_barcode(row['barcode_2'])) ), axis=1 ) ] else: filtered_df = inner_demux_barcode_map_df[ inner_demux_barcode_map_df.apply( lambda row: barcode_matches_with_n(matched_bc1, normalize_barcode(row['barcode_1'])), axis=1 ) ] # Verify we have 3-barcode samples after filtering samples_with_bc3 = filtered_df[ (filtered_df['barcode_3'].notna()) & (filtered_df['barcode_3'].str.strip() != '') ] if len(samples_with_bc3) == 0: # Get the matched barcodes for logging (with RC correction if applicable) matched_bc1 = orientation_info.get('matched_bc1', target_bc1) matched_bc2 = orientation_info.get('matched_bc2', target_bc2) log.warning(f"No 3-barcode samples found matching outer barcodes {matched_bc1}+{matched_bc2}") log.info("Producing metrics files with zero read counts (no BAM output)") # Generate metrics showing 0 reads metrics = { 'demux_type': 'no_3bc_match', 'samples': { pool_name: { 'sample_library_id': pool_name, 'read_count': 0 } } } metrics_file = os.path.join(outdir, 'demux_metrics.json') with open(metrics_file, 'w') as f: json.dump(metrics, f, indent=2) # Generate Picard-style metrics with 0 reads picard_style_metrics_path = os.path.join(outdir, 'demux_metrics_picard-style.txt') with open(picard_style_metrics_path, 'w') as f: f.write("## METRICS CLASS\tviral-core.splitcode_demux_fastqs.no_3bc_match\n") columns = [ "BARCODE", "BARCODE_WITHOUT_DELIMITER", "BARCODE_NAME", "LIBRARY_NAME", "READS", "PF_READS", "PERFECT_MATCHES", "PF_PERFECT_MATCHES", "ONE_MISMATCH_MATCHES", "PF_ONE_MISMATCH_MATCHES", "PCT_MATCHES", "RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_PCT_MATCHES", "PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT", "PF_NORMALIZED_MATCHES", "DEMUX_TYPE" ] f.write("\t".join(columns) + "\n") barcode_str = f"{auth_bc1}+{auth_bc2}" if auth_bc2 else auth_bc1 values = [ barcode_str, barcode_str.replace('+', ''), pool_name, pool_name, "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "no_3bc_match" ] f.write("\t".join(values) + "\n") return log.info(f"Filtered to {len(samples_with_bc3)} samples with 3-barcode scheme") # Use the filtered dataframe inner_demux_barcode_map_df = filtered_df # The pool_id is the unique muxed_run for this outer barcode pair pool_id = filtered_df['muxed_run'].iloc[0] # Generate splitcode config and keep files using existing helper function splitcode_config, splitcode_keep_file, sample_library_ids = splitcode.generate_splitcode_config_and_keep_files( inner_demux_barcode_map_df, pool_id, outdir, max_hamming_dist=max_hamming_dist, r1_trim_bp_right_of_barcode=r1_trim_bp_right_of_barcode, r2_trim_bp_left_of_barcode=r2_trim_bp_left_of_barcode ) log.info(f"Generated splitcode config: {splitcode_config}") log.info(f"Generated splitcode keep file: {splitcode_keep_file}") log.info(f"Will demux {len(sample_library_ids)} samples") # Run splitcode splitcode_tool = splitcode.SplitCodeTool() # Prepare splitcode output paths unassigned_r1 = os.path.join(outdir, 'unassigned_R1.fastq.gz') unassigned_r2 = os.path.join(outdir, 'unassigned_R2.fastq.gz') # Name the summary file with pool_id to match create_splitcode_lookup_table() expectations summary_stats = os.path.join(outdir, f'{pool_id}_summary.json') # Dummy output files required for --keep to work (splitcode quirk) dummy_output_r1 = os.path.join(outdir, 'dummy_R1.fastq.gz') dummy_output_r2 = os.path.join(outdir, 'dummy_R2.fastq.gz') # Run splitcode with the generated config splitcode_tool.execute( n_fastqs=2, threads=threads, config_file=splitcode_config, keep_file=splitcode_keep_file, unassigned_r1=unassigned_r1, unassigned_r2=unassigned_r2, summary_stats=summary_stats, r1=fastq_r1, r2=fastq_r2, predemux_r1_trim_5prime_num_bp=predemux_r1_trim_5prime_num_bp, predemux_r1_trim_3prime_num_bp=predemux_r1_trim_3prime_num_bp, predemux_r2_trim_5prime_num_bp=predemux_r2_trim_5prime_num_bp, predemux_r2_trim_3prime_num_bp=predemux_r2_trim_3prime_num_bp, keep_r1_r2_suffixes=True, splitcode_opts=[f"--output={dummy_output_r1},{dummy_output_r2}"] ) # Convert splitcode FASTQs to BAMs in parallel # Build mapping from sample_library_id to sample name # Note: inner_demux_barcode_map_df is already filtered to this pool, so no need to check pool_id sample_library_to_sample = {} for sample_name, row in inner_demux_barcode_map_df.iterrows(): sample_library_to_sample[row['run']] = sample_name # Build list of conversion jobs with all metadata conversion_jobs = [] for sample_library_id in sample_library_ids: sample_name = sample_library_to_sample.get(sample_library_id) if not sample_name: log.warning(f"No sample name found for library ID: {sample_library_id}") continue # Find splitcode output FASTQs for this sample # With keep_r1_r2_suffixes=True, splitcode outputs: {outdir}/{sample_library_id}_R1.fastq.gz and _R2.fastq.gz bc_r1 = os.path.join(outdir, f"{sample_library_id}_R1.fastq.gz") bc_r2 = os.path.join(outdir, f"{sample_library_id}_R2.fastq.gz") # Only queue jobs for samples that have FASTQ outputs if not (os.path.exists(bc_r1) and os.path.exists(bc_r2)): log.warning(f"Splitcode output FASTQs not found for {sample_library_id}: {bc_r1}, {bc_r2}") continue # Get inline barcode for this sample from the dataframe sample_row = inner_demux_barcode_map_df.loc[sample_name] inline_barcode = sample_row.get('barcode_3', '') # Build Picard options dict with richer metadata picard_opts = { 'PLATFORM': 'illumina', 'LIBRARY_NAME': sample_library_id, 'VERBOSITY': 'WARNING', 'QUIET': 'TRUE', 'COMPRESSION_LEVEL': '1' # Faster BAM writes } # Add run date from RunInfo or CLI override if run_date_val: picard_opts['RUN_DATE'] = run_date_val # Add sequencing center if sequencing_center: picard_opts['SEQUENCING_CENTER'] = sequencing_center # Add platform unit: .. # For 3-barcode samples, include all three barcodes # Use samplesheet-authoritative barcode values (not FASTQ-observed) if flowcell and auth_bc1: if auth_bc2: barcode_str = f"{auth_bc1}-{auth_bc2}-{inline_barcode}" else: barcode_str = f"{auth_bc1}-{inline_barcode}" picard_opts['PLATFORM_UNIT'] = f"{flowcell}.{lane}.{barcode_str}" conversion_jobs.append({ 'sample_library_id': sample_library_id, 'sample_name': sample_name, 'bc_r1': bc_r1, 'bc_r2': bc_r2, 'picard_opts': picard_opts }) # Execute Picard conversions in parallel workers = max(threads, 1) log.info(f"Converting {len(conversion_jobs)} splitcode outputs to BAM using " f"{workers} parallel worker{'s' if workers != 1 else ''}") sample_metrics = {} with concurrent.futures.ProcessPoolExecutor(max_workers=workers) as executor: futures = [] # Submit all conversion jobs for idx, job in enumerate(conversion_jobs): string_to_log = (f"Processing sample {idx+1}/{len(conversion_jobs)}: " f"{job['sample_name']} (library: {job['sample_library_id']})") future = executor.submit( run_picard_fastq_to_sam_for_splitcode_demux, job['sample_library_id'], job['sample_name'], job['bc_r1'], job['bc_r2'], outdir, job['picard_opts'], jvm_memory=picard_jvm_memory, string_to_log=string_to_log ) futures.append(future) # Collect results as they complete for future in concurrent.futures.as_completed(futures): try: sample_name, output_bam, read_pairs, sample_library_id = future.result() log.info(f"Conversion complete: {sample_name} -> {output_bam} " f"({read_pairs} read pairs)") # Store metrics sample_metrics[sample_name] = { 'sample_library_id': sample_library_id, 'read_count': read_pairs } except subprocess.CalledProcessError as e: log.error(f"Picard FastqToSam failed: {e}") raise except Exception as e: log.error(f"Unexpected error during FASTQ to BAM conversion: {e}") raise # Write JSON metrics (backward compatibility) metrics_file = os.path.join(outdir, 'demux_metrics.json') with open(metrics_file, 'w') as f: json.dump({ 'demux_type': '3-barcode (splitcode)', 'samples': sample_metrics }, f, indent=2) # Generate Picard-style TSV metrics using existing helper functions # Use splitcode.create_splitcode_lookup_table() to parse splitcode JSON summary and create CSV splitcode_csv_path = os.path.join(outdir, 'splitcode_metrics.csv') try: splitcode.create_splitcode_lookup_table( sample_sheet_or_dataframe=inner_demux_barcode_map_df, csv_out=splitcode_csv_path, unmatched_name='unmatched', pool_ids=[pool_id], # Only process this single pool check_sample_sheet_consistency=False ) # Convert CSV to Picard-style TSV picard_style_metrics_path = os.path.join(outdir, 'demux_metrics_picard-style.txt') splitcode.convert_splitcode_demux_metrics_to_picard_style( splitcode_csv_path, picard_style_metrics_path, demux_function="viral-core.splitcode_demux_fastqs", report_within_pools=False # Global stats since we're processing one pool ) log.info(f"Generated Picard-style metrics: {picard_style_metrics_path}") except Exception as e: log.warning(f"Failed to generate Picard-style metrics from splitcode summary: {e}") log.warning("Continuing with JSON metrics only") # Note: We don't generate barcodes_common.txt or barcodes_outliers.txt here. # Those files require full barcode analysis which is handled by illumina_demux # or splitcode_demux workflows. The simplified splitcode_demux_fastqs is designed # for quick per-FASTQ-pair demux without comprehensive barcode reporting. # Generate sample metadata JSONs if requested # The sample_rows already have 'run' field set from SampleSheet with append_run_id # We just need to update the 'lane' field to use actual lane from FASTQ filename if out_meta_by_sample or out_meta_by_filename: sample_meta = [] for row in sample_rows: meta_row = dict(row) # Copy all samplesheet columns meta_row['lane'] = str(lane) # Use actual lane from FASTQ filename (critical fix) sample_meta.append(meta_row) if out_meta_by_sample: with open(out_meta_by_sample, 'wt') as outf: json.dump(dict((r['sample'], r) for r in sample_meta), outf, indent=2) log.info(f"Generated meta_by_sample.json: {out_meta_by_sample}") if out_meta_by_filename: with open(out_meta_by_filename, 'wt') as outf: json.dump(dict((r['run'], r) for r in sample_meta), outf, indent=2) log.info(f"Generated meta_by_filename.json: {out_meta_by_filename}") else: raise ValueError("Samplesheet contains no valid samples (all barcode_3 values are empty)") def parser_splitcode_demux_fastqs(parser=argparse.ArgumentParser()): """ Argument parser for splitcode_demux_fastqs entry point. """ parser.add_argument( '--fastq_r1', required=True, help='Path to R1 FASTQ file' ) parser.add_argument( '--fastq_r2', required=True, help='Path to R2 FASTQ file' ) parser.add_argument( '--samplesheet', required=True, help='Path to custom 3-barcode samplesheet (TSV format)' ) parser.add_argument( '--outdir', required=True, help='Output directory for BAM files and metrics' ) parser.add_argument( '--runinfo', default=None, help='Path to RunInfo.xml (optional, for richer BAM metadata)' ) parser.add_argument( '--sequencing_center', default=None, help='Sequencing center name (default: None, uses runinfo.get_machine() if RunInfo.xml provided)' ) parser.add_argument( '--flowcell_id', default=None, help='Override flowcell ID (default: extracted from FASTQ filename or RunInfo.xml)' ) parser.add_argument( '--run_date', default=None, help='Override run date in YYYY-MM-DD format (default: read from RunInfo.xml)' ) parser.add_argument( '--append_run_id', action='store_true', help='Append flowcell ID and lane to output BAM filenames for SRA compatibility' ) parser.add_argument( '--picard_jvm_memory', default='2g', help='JVM memory allocation per Picard FastqToSam worker (default: %(default)s)' ) parser.add_argument( '--out_meta_by_sample', default=None, help='Output path for meta_by_sample.json (sample metadata indexed by sample name)' ) parser.add_argument( '--out_meta_by_filename', default=None, help='Output path for meta_by_filename.json (sample metadata indexed by run/library ID, matches BAM basenames)' ) parser.add_argument( '--max_barcode_mismatches', type=int, default=1, help='Maximum allowed non-N mismatches per outer barcode when matching FASTQ barcodes ' 'to samplesheet. DRAGEN tolerates index mismatches, so FASTQ reads may carry ' 'barcodes that differ from the samplesheet. (default: %(default)s)' ) parser.add_argument( '--num_reads_for_barcode', type=int, default=10, help='Number of reads to examine from the FASTQ to form a consensus barcode sequence. ' 'Using multiple reads avoids relying on a single read that may have a mismatched ' 'index. (default: %(default)s)' ) util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, splitcode_demux_fastqs, split_args=True) return parser __commands__.append(('splitcode_demux_fastqs', parser_splitcode_demux_fastqs)) # ========================= # *** illumina_demux *** # ========================= def parser_illumina_demux(parser=argparse.ArgumentParser()): parser.add_argument( "inDir", help="Illumina BCL directory (or tar.gz of BCL directory). This is the top-level run directory.", ) parser.add_argument("lane", help="Lane number.", type=int) parser.add_argument("outDir", help="Output directory for BAM files.") parser.add_argument( "--outMetrics", help="Output ExtractIlluminaBarcodes metrics file. Default is to dump to a temp file.", default=None, ) parser.add_argument( "--commonBarcodes", help='''Write a TSV report of all barcode counts, in descending order. Only applicable for read structures containing "B"''', default=None, ) parser.add_argument( "--max_barcodes", help="""Cap the commonBarcodes report length to this size (default: %(default)s)""", default=10000, type=int, ) parser.add_argument( "--sampleSheet", default=None, help="""Override SampleSheet. Input TSV or CSV file w/header and four named columns: barcode_name, library_name, barcode_sequence_1, barcode_sequence_2. Default is to look for a SampleSheet.csv in the inDir.""", ) parser.add_argument( "--runInfo", default=None, dest="runinfo", help="""Override RunInfo. Input xml file. Default is to look for a RunInfo.xml file in the inDir.""", ) parser.add_argument( "--flowcell", help="Override flowcell ID (default: read from RunInfo.xml).", default=None, ) parser.add_argument( "--read_structure", help="Override read structure (default: read from RunInfo.xml).", default=None, ) parser.add_argument( "--append_run_id", help="If specified, output filenames will include the flowcell ID and lane number.", action="store_true", ) parser.add_argument( "--collapse_duplicated_barcodes", help="""If specified, reads from samples with duplicated barcodes or barcode pairs will be collapsed into a single output for each distinct barcode (or distinct barcode pair). Intended for protocols allowing additional demultiplexing downstream by other means (ex. breaking out samples based on a third, inner barcode, added via swift-seq). If not specified, an error will be raised if duplicated barcodes (or barcode pairs) are present in the sample sheet. If a value is specified, it will be used as the path to store output sample sheet with barcodes collapsed""", default=False, const=None, nargs='?', #action="store_true" ) parser.add_argument( "--rev_comp_barcodes_before_demux", help="""Reverse complement barcodes before demultiplexing. If specified without setting a value, the "barcode_2" column will be reverse-complemented. If one or more values are specified, the columns with those names will be reverse-complemented. (and if not specified, barcodes will not be reverse-complemented)""", nargs='*', action=util_cmd.storeMultiArgsOrFallBackToConst, type=str, const=["barcode_2"], ) parser.add_argument( "--out_meta_by_sample", help="Output json metadata by sample", default=None ) parser.add_argument( "--out_meta_by_filename", help="Output json metadata by bam file basename", default=None, ) parser.add_argument( "--out_runinfo", help="Output json metadata about the run", default=None ) for opt in picard.ExtractIlluminaBarcodesTool.option_list: if opt not in ("read_structure", "num_processors"): parser.add_argument( "--" + opt, help="Picard ExtractIlluminaBarcodes " + opt.upper() + " (default: %(default)s)", default=picard.ExtractIlluminaBarcodesTool.defaults.get(opt), ) for opt in picard.IlluminaBasecallsToSamTool.option_list: if opt == "adapters_to_check": parser.add_argument( "--" + opt, nargs="*", help="Picard IlluminaBasecallsToSam " + opt.upper() + " (default: %(default)s)", default=picard.IlluminaBasecallsToSamTool.defaults.get(opt), ) elif opt in ("read_structure", "num_processors"): pass else: parser.add_argument( "--" + opt, help="Picard IlluminaBasecallsToSam " + opt.upper() + " (default: %(default)s)", default=picard.IlluminaBasecallsToSamTool.defaults.get(opt), ) parser.add_argument( "--JVMmemory", help="JVM virtual memory size (default: %(default)s)", default=picard.IlluminaBasecallsToSamTool.jvmMemDefault, ) util_cmd.common_args( parser, ( ( "threads", picard.IlluminaBasecallsToSamTool.defaults["num_processors"], ), ("loglevel", None), ("version", None), ("tmp_dir", None), ), ) util_cmd.attach_main(parser, main_illumina_demux) return parser def main_illumina_demux(args): """Read Illumina runs & produce BAM files, demultiplexing to one bam per sample, or for simplex runs, a single bam will be produced bearing the flowcell ID. Wraps together Picard's ExtractBarcodes (for multiplexed samples) and IlluminaBasecallsToSam while handling the various required input formats. Also can read Illumina BCL directories, tar.gz BCL directories. """ # prepare illumina = IlluminaDirectory(args.inDir) illumina.load() if args.runinfo: runinfo = RunInfo(args.runinfo) else: runinfo = illumina.get_RunInfo() if args.flowcell: flowcell = args.flowcell else: flowcell = runinfo.get_flowcell() if args.run_start_date: run_date = args.run_start_date else: run_date = runinfo.get_rundate_american() if args.read_structure: read_structure = args.read_structure else: read_structure = runinfo.get_read_structure() if args.append_run_id: run_id = "{}.{}".format(flowcell, args.lane) else: run_id = None if args.sampleSheet: samples = SampleSheet( args.sampleSheet, only_lane = args.lane, append_run_id = run_id, allow_non_unique = True if args.collapse_duplicated_barcodes != False else False, # barcode_columns_to_revcomp: # For --rev_comp_barcodes_before_demux: # 1) None if not passed # 2) 'barcode_2' if passed without value # 3) barcodes specified if values passed with --rev_comp_barcodes_before_demux barcode_columns_to_revcomp = args.rev_comp_barcodes_before_demux ) else: samples = illumina.get_SampleSheet( only_lane = args.lane, append_run_id = run_id, allow_non_unique = True if args.collapse_duplicated_barcodes != False else False, # barcode_columns_to_revcomp: # For --rev_comp_barcodes_before_demux: # 1) None if not passed # 2) 'barcode_2' if passed without value # 3) barcodes specified if values passed with --rev_comp_barcodes_before_demux barcode_columns_to_revcomp = args.rev_comp_barcodes_before_demux ) collapse_requested = (args.collapse_duplicated_barcodes is not False) if not samples.can_be_collapsed: if collapse_requested: log.warning( "'--collapse_duplicated_barcodes' specified, but no duplicated barcodes " "(or barcode pairs) were found in the sample sheet." ) else: log.warning("Duplicated barcodes (or barcode pairs) found in the sample sheet.") if collapse_requested: log.info( "'--collapse_duplicated_barcodes' specified; collapsing each duplicated barcode into " "a distinct barcode (or barcode pair)..." ) samples.collapse_sample_index_duplicates(output_tsv=args.collapse_duplicated_barcodes) link_locs = False # For HiSeq-4000/X runs, If Picard's CheckIlluminaDirectory is # called with LINK_LOCS=true, symlinks with absolute paths # may be created, pointing from tile-specific *.locs to the # single s.locs file in the Intensities directory. # These links may break if the run directory is moved. # We should begin by removing broken links, if present, # and call CheckIlluminaDirectory ourselves if a 's.locs' # file is present, but only if the directory check fails # since link_locs=true tries to create symlinks even if they # (or the files) already exist try: picard.CheckIlluminaDirectoryTool().execute( illumina.get_BCLdir(), args.lane, read_structure, link_locs=link_locs ) except subprocess.CalledProcessError as e: log.warning("CheckIlluminaDirectory failed for %s", illumina.get_BCLdir()) if os.path.exists(os.path.join(illumina.get_intensities_dir(), "s.locs")): # recurse to remove broken links in directory log.info( "This run has an 's.locs' file; checking for and removing broken per-tile symlinks..." ) broken_links = util_file.find_broken_symlinks( illumina.get_intensities_dir() ) if len(broken_links): for lpath in broken_links: log.info("Removing broken symlink: %s", lpath) os.unlink(lpath) # call CheckIlluminaDirectory with LINK_LOCS=true link_locs = True log.info("Checking run directory with Picard...") picard.CheckIlluminaDirectoryTool().execute( illumina.get_BCLdir(), args.lane, read_structure, link_locs=link_locs ) else: log.error("CheckIlluminaDirectory failed for %s", illumina.get_BCLdir()) multiplexed_samples = True if "B" in read_structure else False if multiplexed_samples: assert ( samples is not None ), "This looks like a multiplexed run since 'B' is in the read_structure: a SampleSheet must be given." else: assert ( samples == None ), "A SampleSheet may not be provided unless 'B' is present in the read_structure" if args.commonBarcodes: log.warning( "--commonBarcodes was set but 'B' is not present in the read_structure; emitting an empty file." ) util_file.touch(args.commonBarcodes) executor = concurrent.futures.ProcessPoolExecutor() async_execution_futures = [] # B in read structure indicates barcoded multiplexed samples if multiplexed_samples: # Picard ExtractIlluminaBarcodes extract_input = util_file.mkstempfname( ".txt", prefix=".".join(["barcodeData", flowcell, str(args.lane)]) ) barcodes_tmpdir = tempfile.mkdtemp(prefix="extracted_barcodes-") samples.make_barcodes_file(extract_input) out_metrics = ( (args.outMetrics is None) and util_file.mkstempfname(".metrics.txt") or args.outMetrics ) picardOpts = dict( (opt, getattr(args, opt)) for opt in picard.ExtractIlluminaBarcodesTool.option_list if hasattr(args, opt) and getattr(args, opt) != None ) picardOpts["read_structure"] = read_structure picard.ExtractIlluminaBarcodesTool().execute( illumina.get_BCLdir(), args.lane, extract_input, barcodes_tmpdir, out_metrics, picardOptions=picardOpts, JVMmemory=args.JVMmemory, ) # Add DEMUX_TYPE column to Picard metrics file add_constant_column_to_metrics(out_metrics, 'DEMUX_TYPE', 'picard') if args.commonBarcodes: barcode_lengths = re.findall(r"(\d+)B", read_structure) try: barcode1_len = int(barcode_lengths[0]) except IndexError: barcode1_len = 0 try: barcode2_len = int(barcode_lengths[1]) except IndexError: barcode2_len = 0 # this step can take > 2 hours on a large high-output flowcell # so kick it to the background while we demux # count_and_sort_barcodes(barcodes_tmpdir, args.commonBarcodes) async_execution_futures.append( executor.submit( count_and_sort_barcodes, barcodes_tmpdir, args.commonBarcodes, barcode1_len, barcode2_len, truncateToLength=args.max_barcodes, threads=util_misc.sanitize_thread_count(args.threads), ) ) # Picard IlluminaBasecallsToSam basecalls_input = util_file.mkstempfname( ".txt", prefix=".".join(["library_params", flowcell, str(args.lane)]) ) samples.make_params_file(args.outDir, basecalls_input) picardOpts = dict( (opt, getattr(args, opt)) for opt in picard.IlluminaBasecallsToSamTool.option_list if hasattr(args, opt) and getattr(args, opt) != None ) picardOpts["run_start_date"] = run_date picardOpts["read_structure"] = read_structure if args.threads: picardOpts["num_processors"] = args.threads if not picardOpts.get("sequencing_center") and runinfo: picardOpts["sequencing_center"] = runinfo.get_machine() if picardOpts.get("sequencing_center"): picardOpts["sequencing_center"] = util_file.string_to_file_name( picardOpts["sequencing_center"] ) if args.out_runinfo: # Use build_run_info_json() utility function (eliminates code duplication) run_info_dict = build_run_info_json( sequencing_center=picardOpts["sequencing_center"], run_start_date=runinfo.get_rundate_iso(), read_structure=picardOpts["read_structure"], indexes=str(samples.indexes), run_id=runinfo.get_run_id(), lane=str(args.lane), flowcell=str(runinfo.get_flowcell()), lane_count=runinfo.get_lane_count(), surface_count=runinfo.get_surface_count(), swath_count=runinfo.get_swath_count(), tile_count=runinfo.get_tile_count(), total_tile_count=runinfo.tile_count(), sequencer_model=runinfo.get_machine_model() ) with open(args.out_runinfo, "wt") as outf: json.dump(run_info_dict, outf, indent=2) # manually garbage collect to make sure we have as much RAM free as possible gc.collect() if multiplexed_samples: picard.IlluminaBasecallsToSamTool().execute( illumina.get_BCLdir(), barcodes_tmpdir, flowcell, args.lane, basecalls_input, picardOptions=picardOpts, JVMmemory=args.JVMmemory, ) # organize samplesheet metadata as json sample_meta = list(samples.get_rows()) for row in sample_meta: row["lane"] = str(args.lane) if args.out_meta_by_sample: with open(args.out_meta_by_sample, "wt") as outf: json.dump(dict((r["sample"], r) for r in sample_meta), outf, indent=2) if args.out_meta_by_filename: with open(args.out_meta_by_filename, "wt") as outf: json.dump(dict((r["run"], r) for r in sample_meta), outf, indent=2) else: picard.IlluminaBasecallsToSamTool().execute_single_sample( illumina.get_BCLdir(), os.path.join(args.outDir, flowcell + ".bam"), flowcell, args.lane, flowcell, picardOptions=picardOpts, JVMmemory=args.JVMmemory, ) async_execution_results = [] for future in concurrent.futures.as_completed(async_execution_results): try: result = future.result() async_execution_results.append(result) except Exception as e: log.error(f"Exception in future: {e}") async_execution_results.append({"success": False, "error": str(e)}) log.debug(f"async_execution_results: {async_execution_results}") log.info("waiting for backgrounded async operations to finish...") executor.shutdown(wait=True) log.info("backgrounded async operations finished") # clean up if multiplexed_samples: #if args.commonBarcodes: # log.info("waiting for commonBarcodes output to finish...") # executor.shutdown(wait=True) os.unlink(extract_input) os.unlink(basecalls_input) shutil.rmtree(barcodes_tmpdir) illumina.close() log.info("illumina_demux complete") return 0 __commands__.append(("illumina_demux", parser_illumina_demux)) # ========================== # *** flowcell_metadata *** # ========================== def parser_flowcell_metadata(parser=argparse.ArgumentParser()): parser.add_argument( "outMetadataFile", help="path of file to which metadata will be written." ) group = parser.add_mutually_exclusive_group(required=True) group.add_argument( "--inDir", dest="in_dir", help="Illumina BCL directory (or tar.gz of BCL directory). This is the top-level run directory.", default=None, ) group.add_argument( "--runInfo", default=None, dest="run_info", help="""RunInfo.xml file.""" ) group.add_argument( "--flowcellID", dest="flowcell_id", help="flowcell ID (default: read from RunInfo.xml).", default=None, ) util_cmd.common_args( parser, ( ( "threads", picard.IlluminaBasecallsToSamTool.defaults["num_processors"], ), ("loglevel", None), ("version", None), ("tmp_dir", None), ), ) util_cmd.attach_main(parser, main_flowcell_metadata) return parser def main_flowcell_metadata(args): """Writes run metadata to a file""" if args.flowcell_id: machine_matches = RunInfo.get_machines_for_flowcell_id(args.flowcell_id) machine_match = None if len(machine_matches) > 1: raise LookupError( "Multiple sequencers found for flowcell ID: %s" % " ".join([m["machine"] for m in machine_matches]) ) if len(machine_matches) == 0: raise LookupError( "No sequencers found for flowcell ID '%s' " % args.flowcell_id ) machine_match = machine_matches[0] if args.run_info: runinfo = RunInfo(args.run_info) machine_match = runinfo.infer_sequencer_model() if args.in_dir: illumina = IlluminaDirectory(args.in_dir) illumina.load() runinfo = illumina.get_RunInfo() machine_match = runinfo.infer_sequencer_model() with open(args.outMetadataFile, "w") as outf: for k, v in machine_match.items(): if type(v) == str and len(v) > 0 or type(v) != str: outline = "{k}\t{v}\n".format(k=k, v=v) print(outline, end="") outf.writelines([outline]) __commands__.append(("flowcell_metadata", parser_flowcell_metadata)) # ========================== # *** lane_metrics *** # ========================== def parser_lane_metrics(parser=argparse.ArgumentParser()): parser.add_argument( "inDir", help="Illumina BCL directory (or tar.gz of BCL directory). This is the top-level run directory.", ) parser.add_argument( "outPrefix", help="""Prefix path to the *.illumina_lane_metrics and *.illumina_phasing_metrics files.""", ) parser.add_argument( "--read_structure", help="Override read structure (default: read from RunInfo.xml).", default=None, ) parser.add_argument( "--JVMmemory", help="JVM virtual memory size (default: %(default)s)", default=picard.ExtractIlluminaBarcodesTool.jvmMemDefault, ) util_cmd.common_args( parser, (("loglevel", None), ("version", None), ("tmp_dir", None)) ) util_cmd.attach_main(parser, main_lane_metrics) return parser def main_lane_metrics(args): """ Write out lane metrics to a tsv file. """ # prepare illumina = IlluminaDirectory(args.inDir) illumina.load() if args.read_structure: read_structure = args.read_structure else: read_structure = illumina.get_RunInfo().get_read_structure() # Picard CollectIlluminaLaneMetrics output_dir = os.path.dirname(os.path.realpath(args.outPrefix)) output_prefix = os.path.basename(os.path.realpath(args.outPrefix)) picardOpts = dict( (opt, getattr(args, opt)) for opt in picard.CollectIlluminaLaneMetricsTool.option_list if hasattr(args, opt) and getattr(args, opt) != None ) picardOpts["read_structure"] = read_structure picard.CollectIlluminaLaneMetricsTool().execute( illumina.path, output_dir, output_prefix, picardOptions=picardOpts, JVMmemory=args.JVMmemory, ) illumina.close() return 0 __commands__.append(("lane_metrics", parser_lane_metrics)) # ========================== # *** common_barcodes *** # ========================== def parser_common_barcodes(parser=argparse.ArgumentParser()): parser.add_argument( "inDir", help="Illumina BCL directory (or tar.gz of BCL directory). This is the top-level run directory.", ) parser.add_argument("lane", help="Lane number.", type=int) parser.add_argument( "outSummary", help="""Path to the summary file (.tsv format). It includes several columns: (barcode1, likely_index_name1, barcode2, likely_index_name2, count), where likely index names are either the exact match index name for the barcode sequence, or those Hamming distance of 1 away.""", ) parser.add_argument( "--truncateToLength", help="If specified, only this number of barcodes will be returned. Useful if you only want the top N barcodes.", type=int, default=None, ) parser.add_argument( "--omitHeader", help="If specified, a header will not be added to the outSummary tsv file.", action="store_true", ) parser.add_argument( "--includeNoise", help='If specified, barcodes with periods (".") will be included.', action="store_true", ) parser.add_argument( "--outMetrics", help="Output ExtractIlluminaBarcodes metrics file. Default is to dump to a temp file.", default=None, ) parser.add_argument( "--sampleSheet", default=None, help="""Override SampleSheet. Input tab or CSV file w/header and four named columns: barcode_name, library_name, barcode_sequence_1, barcode_sequence_2. Default is to look for a SampleSheet.csv in the inDir.""", ) parser.add_argument( "--flowcell", help="Override flowcell ID (default: read from RunInfo.xml).", default=None, ) parser.add_argument( "--read_structure", help="Override read structure (default: read from RunInfo.xml).", default=None, ) for opt in picard.ExtractIlluminaBarcodesTool.option_list: if opt not in ("read_structure", "num_processors"): parser.add_argument( "--" + opt, help="Picard ExtractIlluminaBarcodes " + opt.upper() + " (default: %(default)s)", default=picard.ExtractIlluminaBarcodesTool.defaults.get(opt), ) parser.add_argument( "--JVMmemory", help="JVM virtual memory size (default: %(default)s)", default=picard.ExtractIlluminaBarcodesTool.jvmMemDefault, ) util_cmd.common_args( parser, (("threads", None), ("loglevel", None), ("version", None), ("tmp_dir", None)), ) util_cmd.attach_main(parser, main_common_barcodes) return parser def main_common_barcodes(args): """ Extract Illumina barcodes for a run and write a TSV report of the barcode counts in descending order """ # prepare illumina = IlluminaDirectory(args.inDir) illumina.load() if args.flowcell: flowcell = args.flowcell else: flowcell = illumina.get_RunInfo().get_flowcell() if args.read_structure: read_structure = args.read_structure else: read_structure = illumina.get_RunInfo().get_read_structure() if args.sampleSheet: samples = SampleSheet(args.sampleSheet, only_lane=args.lane) else: samples = illumina.get_SampleSheet(only_lane=args.lane) # Picard ExtractIlluminaBarcodes barcode_file = util_file.mkstempfname( ".txt", prefix=".".join(["barcodeData", flowcell, str(args.lane)]) ) barcodes_tmpdir = tempfile.mkdtemp(prefix="extracted_barcodes-") samples.make_barcodes_file(barcode_file) out_metrics = ( (args.outMetrics is None) and util_file.mkstempfname(".metrics.txt") or args.outMetrics ) picardOpts = dict( (opt, getattr(args, opt)) for opt in picard.ExtractIlluminaBarcodesTool.option_list if hasattr(args, opt) and getattr(args, opt) != None ) picardOpts["read_structure"] = read_structure picard.ExtractIlluminaBarcodesTool().execute( illumina.get_BCLdir(), args.lane, barcode_file, barcodes_tmpdir, out_metrics, picardOptions=picardOpts, JVMmemory=args.JVMmemory, ) barcode_lengths = re.findall(r"(\d+)B", read_structure) try: barcode1_len = int(barcode_lengths[0]) except IndexError: barcode1_len = 0 try: barcode2_len = int(barcode_lengths[1]) except IndexError: barcode2_len = 0 count_and_sort_barcodes( barcodes_tmpdir, args.outSummary, barcode1_len, barcode2_len, args.truncateToLength, args.includeNoise, args.omitHeader, args.threads, ) # clean up os.unlink(barcode_file) shutil.rmtree(barcodes_tmpdir) illumina.close() return 0 __commands__.append(("common_barcodes", parser_common_barcodes)) def count_and_sort_barcodes( barcodes_dir, outSummary, barcode1_len = 8, barcode2_len = 8, truncateToLength = None, includeNoise = False, omitHeader = False, threads = None, ): # collect the barcode file paths for all tiles tile_barcode_files = [ os.path.join(barcodes_dir, filename) for filename in os.listdir(barcodes_dir) ] # count all of the barcodes present in the tile files log.info("counting barcode occurrences in files containing all barcodes extracted from tiles present (%s tiles)", len(tile_barcode_files)) with util_file.CountDB() as reduce_db: barcodefile_tempfile_tuples = [ (tile_barcode_file, util_file.mkstempfname("sqlite_.db")) for tile_barcode_file in tile_barcode_files ] # scatter tile-specific barcode files among workers to store barcode counts in SQLite workers = util_misc.sanitize_thread_count(threads) with concurrent.futures.ProcessPoolExecutor(max_workers=workers) as executor: log.info("using %s workers to read barcodes from tile files", workers) futures = [] for bf, tf in barcodefile_tempfile_tuples: log.debug("creating separate process to read barcodes from %s and store the count of each distinct barcode in %s", tf, bf) futures.append( executor.submit( util_file.count_occurrences_in_tsv_sqlite_backed, tf, bf, include_noise=includeNoise, ) ) # futures = [ # executor.submit( # util_file.count_occurrences_in_tsv_sqlite_backed, # tf, # bf, # include_noise=includeNoise, # ) # for bf, tf in barcodefile_tempfile_tuples # ] for future in concurrent.futures.as_completed(futures): try: tmp_db, barcode_file = future.result() log.debug( "done reading barcodes from %s; adding to total...", barcode_file ) # gather and reduce counts from separate SQLite databases into one reduce_db.add_counts_from_other_db(tmp_db) os.unlink(tmp_db) except Exception as e: log.error( "Error reading barcodes from tile file %s: %s", barcode_file, e ) raise illumina_reference = IlluminaIndexReference() log.info("Number of barcodes seen %s", reduce_db.get_num_IDS()) # write the barcodes and their corresponding counts with open(outSummary, "w") as tsvfile: log.info("sorting counts...") log.info("writing output...") writer = csv.writer(tsvfile, delimiter="\t") # write the header unless the user has specified not to do so if not omitHeader: writer.writerow( ( "Barcode1", "Likely_Index_Names1", "Barcode2", "Likely_Index_Names2", "Count", ) ) for num_processed, row in enumerate(reduce_db.get_counts_descending()): if truncateToLength and num_processed > truncateToLength: break barcode, count = row writer.writerow( ( barcode[:barcode1_len], ",".join( [ x for x in illumina_reference.guess_index( barcode[:barcode1_len], distance=1 ) ] or ["Unknown"] ), barcode[barcode1_len : len(barcode)], ",".join( [ x for x in illumina_reference.guess_index( barcode[barcode1_len : len(barcode)], distance=1 ) ] or ["Unknown"] ), count, ) ) if num_processed % 50000 == 0: log.debug( "written %s barcode summaries to output file", num_processed ) log.info("done") # ====================================== # *** guess_low-abundance_barcodes *** # ====================================== def parser_guess_barcodes(parser=argparse.ArgumentParser()): parser.add_argument( "in_barcodes", help="The barcode counts file produced by common_barcodes." ) parser.add_argument( "in_picard_metrics", help="The demultiplexing read metrics produced by Picard." ) parser.add_argument( "out_summary_tsv", help="""Path to the summary file (.tsv format). It includes several columns: (sample_name, expected_barcode_1, expected_barcode_2, expected_barcode_1_name, expected_barcode_2_name, expected_barcodes_read_count, guessed_barcode_1, guessed_barcode_2, guessed_barcode_1_name, guessed_barcode_2_name, guessed_barcodes_read_count, match_type), where the expected values are those used by Picard during demultiplexing and the guessed values are based on the barcodes seen among the data.""", ) group = parser.add_mutually_exclusive_group() group.add_argument( "--readcount_threshold", default=None, type=int, help="""If specified, guess barcodes for samples with fewer than this many reads.""", ) group.add_argument( "--sample_names", nargs="*", help="If specified, only guess barcodes for these sample names.", type=str, default=None, ) parser.add_argument( "--outlier_threshold", help="threshold of how far from unbalanced a sample must be to be considered an outlier.", type=float, default=0.775, ) parser.add_argument( "--expected_assigned_fraction", help="The fraction of reads expected to be assigned. An exception is raised if fewer than this fraction are assigned.", type=float, default=0.7, ) group2 = parser.add_mutually_exclusive_group() group2.add_argument( "--number_of_negative_controls", help="If specified, the number of negative controls in the pool, for calculating expected number of reads in the rest of the pool.", type=int, ) group2.add_argument( "--neg_control_prefixes", nargs="+", help="If specified, the sample name prefixes assumed for counting negative controls. Case-insensitive.", type=str, default=["neg", "water", "NTC", "H2O"], ) parser.add_argument( "--rows_limit", default=1000, type=int, help="""The number of rows to use from the in_barcodes.""", ) util_cmd.common_args( parser, (("loglevel", None), ("version", None), ("tmp_dir", None)) ) util_cmd.attach_main(parser, main_guess_barcodes, split_args=True) return parser def main_guess_barcodes( in_barcodes, in_picard_metrics, out_summary_tsv, sample_names, outlier_threshold, expected_assigned_fraction, number_of_negative_controls, readcount_threshold, rows_limit, neg_control_prefixes, ): """ Guess the barcode value for a sample name, based on the following: - a list is made of novel barcode pairs seen in the data, but not in the picard metrics - for the sample in question, get the most abundant novel barcode pair where one of the barcodes seen in the data matches one of the barcodes in the picard metrics (partial match) - if there are no partial matches, get the most abundant novel barcode pair Limitations: - If multiple samples share a barcode with multiple novel barcodes, disentangling them is difficult or impossible The names of samples to guess are selected: - explicitly by name, passed via argument, OR - explicitly by read count threshold, OR - automatically (if names or count threshold are omitted) based on basic outlier detection of deviation from an assumed-balanced pool with some number of negative controls """ bh = IlluminaBarcodeHelper( in_barcodes, in_picard_metrics, rows_limit ) guessed_barcodes = bh.find_uncertain_barcodes( sample_names = sample_names, outlier_threshold = outlier_threshold, expected_assigned_fraction = expected_assigned_fraction, number_of_negative_controls = number_of_negative_controls, readcount_threshold = readcount_threshold, neg_control_prefixes = neg_control_prefixes, ) bh.write_guessed_barcodes(out_summary_tsv, guessed_barcodes) __commands__.append(("guess_barcodes", parser_guess_barcodes)) # NOTE: IlluminaDirectory, RunInfo, SampleSheet, SampleSheetError classes # have been moved to core.illumina_utils # ============================= # *** miseq_fastq_to_bam *** # ============================= def miseq_fastq_to_bam( outBam, sampleSheet, inFastq1, inFastq2=None, runInfo=None, sequencing_center=None, JVMmemory=picard.FastqToSamTool.jvmMemDefault, ): """Convert fastq read files to a single bam file. Fastq file names must conform to patterns emitted by Miseq machines. Sample metadata must be provided in a SampleSheet.csv that corresponds to the fastq filename. Specifically, the _S##_ index in the fastq file name will be used to find the corresponding row in the SampleSheet """ # match miseq based on fastq filenames mo = re.match(r"^\S+_S(\d+)_L001_R(\d)_001.fastq(?:.gz|)$", inFastq1) assert mo, ( "fastq filename %s does not match the patterns used by an Illumina Miseq machine" % inFastq1 ) assert ( mo.group(2) == "1" ), "fastq1 must correspond to read 1, not read %s" % mo.group(2) sample_num = mo.group(1) if inFastq2: mo = re.match(r"^\S+_S(\d+)_L001_R(\d)_001.fastq(?:.gz|)$", inFastq2) assert mo, ( "fastq filename %s does not match the patterns used by an Illumina Miseq machine" % inFastq2 ) assert ( mo.group(2) == "2" ), "fastq2 must correspond to read 2, not read %s" % mo.group(2) assert ( mo.group(1) == sample_num ), "fastq1 (%s) and fastq2 (%s) must have the same sample number" % ( sample_num, mo.group(1), ) # load metadata samples = SampleSheet(sampleSheet, allow_non_unique=True) sample_info = samples.fetch_by_index(sample_num) assert sample_info, "sample %s not found in %s" % (sample_num, sampleSheet) sampleName = sample_info["sample"] log.info("Using sample name: %s", sampleName) if sample_info.get("barcode_2"): barcode = "-".join((sample_info["barcode_1"], sample_info["barcode_2"])) else: barcode = sample_info["barcode_1"] picardOpts = { "LIBRARY_NAME": sample_info["library"], "PLATFORM": "illumina", "VERBOSITY": "WARNING", "QUIET": "TRUE", } if runInfo: runInfo = RunInfo(runInfo) flowcell = runInfo.get_flowcell() picardOpts["RUN_DATE"] = runInfo.get_rundate_iso() if inFastq2: assert ( runInfo.num_reads() == 2 ), "paired fastqs given for a single-end RunInfo.xml" else: assert ( runInfo.num_reads() == 1 ), "second fastq missing for a paired-end RunInfo.xml" else: flowcell = "A" if sequencing_center is None and runInfo: sequencing_center = runInfo.get_machine() if sequencing_center: picardOpts["SEQUENCING_CENTER"] = util_file.string_to_file_name( sequencing_center ) picardOpts["PLATFORM_UNIT"] = ".".join((flowcell, "1", barcode)) if len(flowcell) > 5: flowcell = flowcell[:5] picardOpts["READ_GROUP_NAME"] = flowcell # run Picard picard_tool = picard.FastqToSamTool() picard_tool.execute( inFastq1, inFastq2, sampleName, outBam, picardOptions=picard_tool.dict_to_picard_opts(picardOpts), JVMmemory=JVMmemory, ) return 0 def parser_miseq_fastq_to_bam(parser=argparse.ArgumentParser()): parser.add_argument("outBam", help="Output BAM file.") parser.add_argument("sampleSheet", help="Input SampleSheet.csv file.") parser.add_argument( "inFastq1", help="Input fastq file; 1st end of paired-end reads if paired." ) parser.add_argument( "--inFastq2", help="Input fastq file; 2nd end of paired-end reads.", default=None, ) parser.add_argument("--runInfo", help="Input RunInfo.xml file.", default=None) parser.add_argument( "--sequencing_center", default=None, help="Name of your sequencing center (default is the sequencing machine ID from the RunInfo.xml)", ) parser.add_argument( "--JVMmemory", default=picard.FastqToSamTool.jvmMemDefault, help="JVM virtual memory size (default: %(default)s)", ) util_cmd.common_args( parser, (("loglevel", None), ("version", None), ("tmp_dir", None)) ) util_cmd.attach_main(parser, miseq_fastq_to_bam, split_args=True) return parser __commands__.append(("miseq_fastq_to_bam", parser_miseq_fastq_to_bam)) # ============================== # *** extract_fc_metadata *** # ============================== def extract_fc_metadata(flowcell, outRunInfo, outSampleSheet): """Extract RunInfo.xml and SampleSheet.csv from the provided Illumina directory""" illumina = IlluminaDirectory(flowcell) illumina.load() shutil.copy(illumina.get_RunInfo().get_fname(), outRunInfo) shutil.copy(illumina.get_SampleSheet().get_fname(), outSampleSheet) return 0 def parser_extract_fc_metadata(parser=argparse.ArgumentParser()): parser.add_argument("flowcell", help="Illumina directory (possibly tarball)") parser.add_argument("outRunInfo", help="Output RunInfo.xml file.") parser.add_argument("outSampleSheet", help="Output SampleSheet.csv file.") util_cmd.common_args( parser, (("loglevel", None), ("version", None), ("tmp_dir", None)) ) util_cmd.attach_main(parser, extract_fc_metadata, split_args=True) return parser __commands__.append(("extract_fc_metadata", parser_extract_fc_metadata)) # ================== # *** Swiftseq/cDNAtag-Seq demux *** # ================== def write_barcode_metrics_for_pools(input_csv_path, out_dir, out_basename=None, out_format=None): """ Process sequencing data to calculate read metrics for each inline barcode across library pools and write results to a file. For each (library_id, inline_barcode) pair, calculates: - {library_id}_reads: Total reads for the pair - {library_id}_reads_pool_pct: Reads as fraction of total reads in that library - {library_id}_reads_all_pct: Reads as fraction of total reads across all libraries - {library_id}_barcode_reads_vs_all_reads_for_barcode_pct: Reads as fraction of total reads for that barcode across all libraries Parameters: ----------- input_csv_path : str Path to the input CSV file out_dir : str Output directory for the results file out_basename : str, optional Base name for the output file (default: "reads_per_bc") out_format : str, optional Output file format (default: "csv") Returns: -------- pd.DataFrame Processed dataframe with metrics for each inline barcode """ out_basename = out_basename or "reads_per_bc" out_format = out_format or "csv" output_csv_path = f"{out_dir}/{out_basename}.{out_format}" # Read the CSV file df = pd.read_csv(input_csv_path, dtype=str) # Convert numeric columns explicitly numeric_cols = ['num_reads_total', 'num_reads_hdistance0', 'num_reads_hdistance1'] for col in numeric_cols: if col in df.columns: df[col] = pd.to_numeric(df[col], errors='coerce').fillna(0) # Filter out unmatched entries (those with inline_barcode containing only N characters) # This handles variable numbers of N's (e.g., "N", "NN", "NNNNNNNNN", etc.) df_filtered = df[~df['inline_barcode'].str.match(r'^N+$', na=False)].copy() # Get unique inline barcodes and library IDs unique_barcodes = df_filtered['inline_barcode'].unique() unique_libraries = df_filtered['library_id'].unique() # Calculate total reads across all libraries for percentage calculations total_reads_all = df_filtered['num_reads_total'].sum() # Calculate total reads per library for pool percentage calculations library_totals = df_filtered.groupby('library_id')['num_reads_total'].sum() # Calculate total reads per barcode across all libraries for barcode-specific percentages barcode_totals = df_filtered.groupby('inline_barcode')['num_reads_total'].sum() # Initialize result dataframe with inline_barcode as index result_df = pd.DataFrame(index=unique_barcodes, dtype=str) result_df.index.name = 'inline_barcode' # For each library, calculate metrics for library_id in unique_libraries: library_data = df_filtered[df_filtered['library_id'] == library_id] # Group by inline_barcode and sum reads for this library barcode_reads = library_data.groupby('inline_barcode')['num_reads_total'].sum() # Add columns for this library reads_col = f"{library_id}_reads" pool_pct_col = f"{library_id}_reads_pool_pct" all_pct_col = f"{library_id}_reads_all_pct" barcode_pct_col = f"{library_id}_barcode_reads_vs_all_reads_for_barcode_pct" # Initialize columns with 0 result_df[reads_col] = 0 result_df[pool_pct_col] = 0.0 result_df[all_pct_col] = 0.0 result_df[barcode_pct_col] = 0.0 # Fill in values for barcodes that exist in this library for barcode in barcode_reads.index: reads = barcode_reads[barcode] result_df.loc[barcode, reads_col] = reads result_df.loc[barcode, pool_pct_col] = reads / library_totals[library_id] if library_totals[library_id] > 0 else 0.0 result_df.loc[barcode, all_pct_col] = reads / total_reads_all if total_reads_all > 0 else 0.0 result_df.loc[barcode, barcode_pct_col] = reads / barcode_totals[barcode] if barcode_totals[barcode] > 0 else 0.0 # Sort by inline_barcode for consistent output result_df = result_df.sort_index() # Save to CSV result_df.to_csv(output_csv_path) return result_df # this function is called in new processes # and must remain at the top level (global scope) of this file # to be picklable and thus compatible # with concurrent.futures.ProcessPoolExecutor() # see: https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor # https://stackoverflow.com/a/72776044 def run_picard_fastq_to_ubam(fq1, fq2, library_name, sample_name, out_demux_dir_path, picardOptions, jvm_memory, string_to_log=None): # out_bam = f"{out_demux_dir_path}/{sample}.l{library_name}.{flowcell}.{lane}.bam" # sample in this case is the library ID, so the # output bam file named in the form: .l...bam out_bam = f"{out_demux_dir_path}/{library_name}.bam" if string_to_log: log.info(string_to_log) picard.FastqToSamTool().execute( fq1, fq2, sample_name, out_bam, picardOptions = picardOptions, JVMmemory = jvm_memory) return (sample_name, out_bam) def splitcode_demux( inDir, lane, outDir, max_hamming_dist = 1, unmatched_name = None, illumina_run_directory = None, sampleSheet = None, runinfo = None, read_structure = None, platform_name = None, flowcell = None, run_id = None, run_date = None, #readgroup_name = None, sequencing_center = None, sequencer_model = None, rev_comp_barcodes_before_demux = None, out_runinfo = None, out_meta_by_filename = None, out_meta_by_sample = None, predemux_r1_trim_5prime_num_bp = None, predemux_r1_trim_3prime_num_bp = None, predemux_r2_trim_5prime_num_bp = None, predemux_r2_trim_3prime_num_bp = None, r1_trim_bp_right_of_barcode = None, r2_trim_bp_left_of_barcode = None, threads = None, jvm_memory = None ): """ Args: inDir (str) File path to folder containing gzipped bam or fastq files from demux using outer barcodes outDir (str) Output directory for BAM files and other output files sampleSheet (str) Overwrite file path to csv samplesheet. Input tab or CSV file with columns: sample, library_id_per_sample, I7_Index_ID, barcode_1, I5_Index_ID, barcode_2, Inline_Index_ID, barcode_3. Default is to look for a SampleSheet.csv in the inDir. unmatched_name (str) ID for reads that don't match an inline barcode. Default: "unmatched" max_hamming_dist (int) Max allowed Hamming distance for inline barcode matching. Default: 1 threads (int) Threads used by splitcode demultiplexing. Default: 32 runinfo (str) Override RunInfo. Input xml file. Default: Look for a RunInfo.xml file in the inDir read_structure (str) Read structure. Default: read from RunInfo.xml platform_name (str) Platform name (used to populate BAM header). Default: read from RunInfo.xml flowcell (str) Flowcell ID (used to populate BAM header). Default: read from RunInfo.xml lane (str) Lane number (used to populate BAM header). Default: read from RunInfo.xml run_date (str) Run date (used to populate BAM header). Default: read from RunInfo.xml readgroup_name (str) Readgroup name (used to populate BAM header). Default: read from RunInfo.xml sequencing_center (str) Sequencing center (used to populate BAM header). Default: read from RunInfo.xml sequencer_model (str) Sequencer model (used to populate BAM header). Default: inferred from RunInfo.xml predemux_r1_trim_5prime_num_bp (int) number of bases to trim from the 5' end of read 1 (before demux) predemux_r1_trim_3prime_num_bp (int) number of bases to trim from the 3' end of read 1 (before demux) predemux_r2_trim_5prime_num_bp (int) number of bases to trim from the 5' end of read 2 (before demux) predemux_r2_trim_3prime_num_bp (int) number of bases to trim from the 3' end of read 2 (before demux) rev_comp_barcodes_before_demux (list(str)) List of barcode columns to reverse complement before demux. """ # Create temp directory for splitcode FASTQs inside outDir to prevent cleanup issues splitcode_out_tmp_dir = os.path.join(outDir, ".splitcode_tmp") os.makedirs(splitcode_out_tmp_dir, exist_ok=True) threads = threads or util_misc.available_cpu_count() unmatched_name = unmatched_name or "Unmatched" illumina_dir=None if illumina_run_directory: illumina_dir = IlluminaDirectory(illumina_run_directory) illumina_dir.load() # ToDo: if illumina_run_directory is not provided, but we lack provided runinfo, # inspect the inDir to see if it looks like an illumina run directory # and try to load it as such (then interpreting Analysis/, fastq/ and other sub-dirs) # as potential locations for the fastq files (maybe recursively find them) if runinfo: log.info(f"Loading RunInfo from supplied file {runinfo}") runinfo = RunInfo(runinfo) else: assert illumina_dir, "No Illumina Run Directory provided, and runinfo not provided." log.info(f"Loading RunInfo from Illumina Run Directory: {illumina_dir.path}") runinfo = illumina_dir.get_RunInfo() # data from RunInfo.xml is used in the absense of user input # so assert that we have runinfo available # if RunInfo.xml is needed to obtain any values not provided, # so unless all values are provided, assert that runinfo is available if not all([flowcell, run_date, read_structure, run_id, sequencing_center]): assert runinfo, "No RunInfo.xml provided, nor found in a specified Illumina Run Directory." flowcell = flowcell or runinfo.get_flowcell() run_date = run_date or runinfo.get_rundate_iso() read_structure = read_structure or runinfo.get_read_structure() run_id = run_id or f"{runinfo.get_flowcell()}.{lane}" # runinfo.get_run_id() sequencing_center = sequencing_center or runinfo.get_machine() #f"{runinfo.get_machine_model()}.{runinfo.get_machine()}" platform_model = sequencer_model or runinfo.get_machine_model() sequencing_center = util_file.string_to_file_name(sequencing_center) platform_model = util_file.string_to_file_name(platform_model) log.info(f"{'flowcell:':<19}{flowcell:<20}") log.info(f"{'run_date:':<19}{run_date:<20}") log.info(f"{'read_structure:':<19}{read_structure:<20}") log.info(f"{'run_id:':<19}{run_id:<20}") log.info(f"{'sequencing_center:':<19}{sequencing_center:<20}") log.info(f"{'platform_model:':<19}{platform_model:<20}") if not platform_name: log.warning("No platform name provided. Defaulting to 'ILLUMINA'") platform_name = "ILLUMINA" if sampleSheet: log.info(f"Loading SampleSheet from supplied file {sampleSheet}") samples = SampleSheet( sampleSheet, only_lane = lane, append_run_id = run_id, allow_non_unique = True, # barcode_columns_to_revcomp: # For --rev_comp_barcodes_before_demux: # 1) None if not passed # 2) 'barcode_2' if passed without value # 3) barcodes specified if values passed with --rev_comp_barcodes_before_demux barcode_columns_to_revcomp = rev_comp_barcodes_before_demux ) else: log.info(f"Loading SampleSheet from Illumina Run Directory: {illumina_dir.path}") samples = illumina_dir.get_SampleSheet( only_lane = lane, append_run_id = run_id, allow_non_unique = True, # barcode_columns_to_revcomp: # For --rev_comp_barcodes_before_demux: # 1) None if not passed # 2) 'barcode_2' if passed without value # 3) barcodes specified if values passed with --rev_comp_barcodes_before_demux barcode_columns_to_revcomp = rev_comp_barcodes_before_demux ) # debugging / perhaps useful later lane_count = runinfo.get_lane_count() # Create outDir os.makedirs(outDir, exist_ok=True) out_demux_dir_path = f"{outDir}" os.makedirs(out_demux_dir_path, exist_ok=True) if out_runinfo: # Use build_run_info_json() utility function (eliminates code duplication) run_info_dict = build_run_info_json( sequencing_center=sequencing_center, run_start_date=runinfo.get_rundate_iso(), read_structure=read_structure, indexes=str(samples.indexes), run_id=runinfo.get_run_id(), lane=str(lane), flowcell=str(runinfo.get_flowcell()), lane_count=runinfo.get_lane_count(), surface_count=runinfo.get_surface_count(), swath_count=runinfo.get_swath_count(), tile_count=runinfo.get_tile_count(), total_tile_count=runinfo.tile_count(), sequencer_model=runinfo.get_machine_model() ) with open(out_runinfo, "wt") as outf: json.dump(run_info_dict, outf, indent=2) # Load samplesheet into dataframe barcodes_df = pd.json_normalize(samples.get_rows()).astype(str).fillna("") inner_demux_barcode_map_df = None if samples.can_be_collapsed: #samples.collapse_sample_index_duplicates() #collapsed_barcodes_df = pd.json_normalize(samples.get_rows()).fillna("") inner_demux_barcode_map_df = samples.inner_demux_mapper() else: log.error("The outer (barcode_1,barcode_2) sequences in the sample sheet do not appear to be collapsible.") # TODO: guardrails around missing barcode_3 values or a mixture of rows with it present/absent # Load inline barcodes and inline barcode indices inline_barcodes = sorted(list(set(barcodes_df["barcode_3"].values))) # Instantiate the splitcode and samtools tools samtools_tool = samtools.SamtoolsTool() demux_bams_to_sample_library_id_map = defaultdict(list) pool_id_to_sample_library_id_map = defaultdict(list) sample_to_demux_bam_map = {} pool_id_to_splitcode_keepfile = {} pool_id_to_splitcode_configfile = {} pool_id_to_pool_bam = {} sample_library_id_to_fastqs = {} pool_ids_successfully_demuxed_via_splitcode = [] # Iterate over rows for sample_name, sample_row in inner_demux_barcode_map_df.iterrows(): log.debug(f"Looking for input pool bam files for '{sample_name}'") #b1 = sample_row["barcode_1"] #b3 = sample_row["barcode_3"] #inline_index_id = sample_row["Inline_Index_ID"] #run_str = sample_row["run"] muxed_pool_str = sample_row["muxed_run"] bam_to_glob_for = f"{sample_row['muxed_run']}*.bam" found_bam_files = glob.glob(f"{inDir}/{bam_to_glob_for}".replace("//","/")) found_bam_file = found_bam_files[0] if found_bam_files else None if found_bam_file: if muxed_pool_str not in pool_id_to_pool_bam: pool_id_to_pool_bam[muxed_pool_str] = found_bam_file log.info(f"Found input pool bam file for {muxed_pool_str}: {found_bam_file}") demux_bams_to_sample_library_id_map[found_bam_file].append(sample_row["run"]) sample_to_demux_bam_map[sample_name] = found_bam_file pool_id_to_sample_library_id_map[sample_row["muxed_run"]].append(sample_row["run"]) else: raise FileNotFoundError(f"No bam file found: for {bam_to_glob_for}") demux_bams_to_sample_library_id_map = dict(demux_bams_to_sample_library_id_map) pool_id_to_sample_library_id_map = dict(pool_id_to_sample_library_id_map) """ ToDo: alternative code path to glob the input files for either fastq or bam patterns if the input is a bam file, convert to fastq files In an Illumina directory, a file manifest of fastq files (may, or may not—mush check) exists within: fastq/Reports/fastq_list.csv The manifest is formatted like this: RGID,RGSM,RGLB,Lane,Read1File,Read2File AGCGTGTTAT.CTTCGCAAGT.6,22J5GLLT4_6_0420593812_B13Pool1a,UnknownLibrary,6,/seq/dragen/fastqs/prod/SL-EXC/241217_SL-EXC_0433_B22J5GLLT4/dragen/2024-12-17--18-30-31/fastq/22J5GLLT4_6_0420593812_B13Pool1a_S1_L006_R1_001.fastq.gz,/seq/dragen/fastqs/prod/SL-EXC/241217_SL-EXC_0433_B22J5GLLT4/dragen/2024-12-17--18-30-31/fastq/22J5GLLT4_6_0420593812_B13Pool1a_S1_L006_R2_001.fastq.gz ATCGCCATAT.TGCGTAACGT.6,22J5GLLT4_6_0420593812_B13Pool2a,UnknownLibrary,6,/seq/dragen/fastqs/prod/SL-EXC/241217_SL-EXC_0433_B22J5GLLT4/dragen/2024-12-17--18-30-31/fastq/22J5GLLT4_6_0420593812_B13Pool2a_S2_L006_R1_001.fastq.gz,/seq/dragen/fastqs/prod/SL-EXC/241217_SL-EXC_0433_B22J5GLLT4/dragen/2024-12-17--18-30-31/fastq/22J5GLLT4_6_0420593812_B13Pool2a_S2_L006_R2_001.fastq.gz ... The long paths to the fastq files are local to the dragen server, whether dragen is running on the instrument (ex. NextSeq 2000) or on an external server (ex. NovaSeq X). It is unlikely that the splitcode demultiplexing performed by this function will be performed on the same machine as dragen, so we need to match samples we know from the input sample sheet tsv given to this function to a line in the manifest using the `RGID`,`RGSM`,`RGLB`, and `Lane` columns, and then find the fastq files based on their basenames, somewhere within the `inDir` directory provided to this function or its subdirectories. We cannot assume data will be being delivered in the same way by all sequencers or facilities, so the fastq files may be at varying subdirectory depths within `inDir`. We should be able to find them using a glob pattern looking for the fastq basenames given in the manifest. That said, the common case is that `inDir` will be an Illumina run directory, so after first checking within `inDir` itself, we should check `f"{os.path.realpath(inDir)}/fastq/"` for files matching the basenames, and if not found look elsewhere within `inDir`. We should check a list of subdirs of inDir for the fastq files, starting with `./fastq/`(iff present) before proceeding to (recursively) check the other subdirs within inDir. Once we find the first matching fastq files, the `os.path.realpath(os.path.dirname())` of that path should then be the first location checked for the other files listed in the file manifest, before checking the other subdirs of `inDir`(since they're probably all in the same subdir). """ # # #with samtools.SamtoolsTool().bam2fq_tmp(inBam) as (fqin1, fqin2), \ # util_file.tmp_dir('_splitcode') as t_dir: # pass # Unzip fastq files using pigz #fastq_files = " ".join(f"'{f}'" for f in glob.glob(fastqs)) #subprocess.run(["pigz", "-d", *fastq_files], check=True) # ======== Generate splitcode config and keep files for each pool ======== for pool_id, sample_libraries in pool_id_to_sample_library_id_map.items(): log.info(f"pool to demux with splitcode: {pool_id} containing {len(sample_libraries)} libraries") # Use the extracted function to generate config/keep files splitcode_config, splitcode_sample_keep_file, returned_sample_ids = splitcode.generate_splitcode_config_and_keep_files( inner_demux_barcode_map_df, pool_id, splitcode_out_tmp_dir, max_hamming_dist=max_hamming_dist, r1_trim_bp_right_of_barcode=r1_trim_bp_right_of_barcode, r2_trim_bp_left_of_barcode=r2_trim_bp_left_of_barcode ) # Store paths for later use pool_id_to_splitcode_configfile[pool_id] = splitcode_config pool_id_to_splitcode_keepfile[pool_id] = splitcode_sample_keep_file # Build sample_library_id_to_fastqs mapping for sample_library_id in returned_sample_ids: assert (sample_library_id not in sample_library_id_to_fastqs), "%s detected twice when it should be present only once" % sample_library_id # Map sample_library_id to expected output FASTQ paths # ex. 'VGG_19883.lPool_3.HHJYWDRX5.1' -> # ["VGG_19883.lPool_3.HHJYWDRX5.1_R1.fastq", "VGG_19883.lPool_3.HHJYWDRX5.1_R2.fastq"] sample_output_prefix = f"{splitcode_out_tmp_dir}/{sample_library_id}" sample_library_id_to_fastqs[sample_library_id] = [ f"{sample_output_prefix}_R1.fastq", f"{sample_output_prefix}_R2.fastq" ] # Add unmatched reads to the mapping unmatched_sample_name = f"{unmatched_name}.{pool_id}" unmatched_output_prefix = f"{splitcode_out_tmp_dir}/{unmatched_sample_name}" sample_library_id_to_fastqs[unmatched_sample_name] = [ f"{unmatched_output_prefix}_R1.fastq", f"{unmatched_output_prefix}_R2.fastq" ] log.debug(f"splitcode config and keep files created for {pool_id}") # ======== run splitcode ========== workers = threads or util_misc.available_cpu_count() workers = min(workers, len(pool_id_to_sample_library_id_map)) # ensure we cannot have more workers than pools workers = max(workers,1) # ensure at least 1 worker threads_per_worker = 1 if threads: threads_per_worker = threads // workers else: threads_per_worker = util_misc.available_cpu_count() // workers threads_per_worker = max(threads_per_worker,1) # ensure at least 1 thread per worker log.info(f"Running splitcode using {workers} worker{'s'[:workers^1]} to process {len(pool_id_to_sample_library_id_map)} pools, with {threads_per_worker} thread{'s'[:threads_per_worker^1]} per worker") with concurrent.futures.ProcessPoolExecutor(max_workers=workers) as executor: futures = [] for pool_idx,pool_id in enumerate(sorted(pool_id_to_sample_library_id_map.keys())): splitcode_config = pool_id_to_splitcode_configfile[pool_id] splitcode_keepfile = pool_id_to_splitcode_keepfile[pool_id] pool_bam_file = pool_id_to_pool_bam[pool_id] string_to_log = f"creating splitcode process {pool_idx+1} for: {pool_id}" future = executor.submit( splitcode.run_splitcode_on_pool, pool_id, pool_bam_file, splitcode_config, splitcode_keepfile, out_demux_dir_path, threads_per_worker = threads_per_worker, out_dir_path = out_demux_dir_path, out_demux_dir_path_tmp = splitcode_out_tmp_dir, string_to_log = string_to_log, predemux_r1_trim_5prime_num_bp = predemux_r1_trim_5prime_num_bp, predemux_r1_trim_3prime_num_bp = predemux_r1_trim_3prime_num_bp, predemux_r2_trim_5prime_num_bp = predemux_r2_trim_5prime_num_bp, predemux_r2_trim_3prime_num_bp = predemux_r2_trim_3prime_num_bp, ) futures.append(future) for future in concurrent.futures.as_completed(futures): try: return_code, pool_id = future.result() log.info("worker done processing with splitcode: %s ", pool_id) pool_ids_successfully_demuxed_via_splitcode.append(pool_id) except subprocess.CalledProcessError as e: log.error("Error running splitcode on pool; return code %s: %s", e.returncode, e.output) raise e splitcode_demux_failures = list(set(pool_id_to_sample_library_id_map.keys()) - set(pool_ids_successfully_demuxed_via_splitcode)) if len(splitcode_demux_failures)>0: log.warning("splitcode demux failed for: %s", ) # gather metrics and create output plots log.info("gathering splitcode demux metrics...") # Create look-up table that shows number of reads for each sample and maps i7/i5/inline barcodes splitcode_csv_metrics_out = f"{outDir}/bc2sample_lut.csv" # Pass the inner_demux_barcode_map_df directly instead of re-reading the sample sheet # This ensures pool IDs match exactly what was used to create summary JSON files # (avoiding mismatch between SampleSheet.inner_demux_mapper() and splitcode.create_splitcode_lookup_table()) df_csv_out_path = splitcode.create_splitcode_lookup_table( inner_demux_barcode_map_df, # Pass DataFrame directly (not file path) splitcode_csv_metrics_out, unmatched_name, pool_ids_successfully_demuxed_via_splitcode # Note: append_run_id not needed when passing DataFrame (it's already in the DataFrame) ) log.info("splitcode demux metrics written to %s", splitcode_csv_metrics_out) picard_style_splitcode_metrics_path = os.path.splitext(df_csv_out_path)[0] + "_picard-style.txt" splitcode.convert_splitcode_demux_metrics_to_picard_style(df_csv_out_path, picard_style_splitcode_metrics_path) log.info("picard-style splitcode demux metrics written to %s", picard_style_splitcode_metrics_path) # ----- splitcode metrics plotting ----- log.info("plotting splitcode demux metrics...") # Plot number and fraction of reads per inline barcode per pool splitcode.plot_read_counts(df_csv_out_path, outDir) # Plot a sorted curve per pool and save csv file with sorted read numbers and fractions for QC splitcode.plot_sorted_curve(df_csv_out_path, outDir, unmatched_name) # Write metrics for barcode-pool pairs write_barcode_metrics_for_pools(df_csv_out_path, outDir) # --- end splitcode metrics plotting --- df = pd.read_csv(df_csv_out_path, dtype=str) df = df.rename(columns={"inline_barcode": "barcode_3"}) # change index of df to 'run' column df = df.set_index('run') workers = threads or util_misc.available_cpu_count() workers = min(workers, len(sample_library_id_to_fastqs)) workers = max(workers,1) # ensure at least 1 worker threads_per_worker = 1 bams_successfully_created_for_samples = [] bam_conversion_attempted_for_samples = [] log.info(f"Converting splitcode output to ubam using {workers} worker{'s'[:workers^1]} for {len(sample_library_id_to_fastqs)} samples, with {threads_per_worker} thread{'s'[:threads_per_worker^1]} per worker") with concurrent.futures.ProcessPoolExecutor(max_workers=workers) as executor: futures = [] # Generate bam files for sample_idx,(sample,(fq1,fq2)) in enumerate(sample_library_id_to_fastqs.items()): if sample not in df.index: log.warning("Sample %s not found in the samplesheet data.", sample) continue samplesheet_row_for_sample = df.loc[sample] samplesheet_row_idx = df.index.get_loc(sample) samplesheet_row_idx = samplesheet_row_idx if type(samplesheet_row_idx)==int else None barcodes_for_sample_joined = "-".join([ samplesheet_row_for_sample["barcode_1"], samplesheet_row_for_sample["barcode_2"], samplesheet_row_for_sample["barcode_3"]]) platform_unit = ".".join([ flowcell, str(lane), barcodes_for_sample_joined ]) # this is the long-form name, in the form "{sample}.l{library_name}.{flowcell}.{lane}"" sample = samplesheet_row_for_sample.name sample_name = samplesheet_row_for_sample["sample"] library_name = samplesheet_row_for_sample["library_id"] readgroup_name = ".".join([ flowcell[:4], str(lane), str(samplesheet_row_idx+1) if samplesheet_row_idx is not None else util_misc.md5_digest(barcodes_for_sample_joined,last_n_chr=4) ]) picardOptions = [ f"LIBRARY_NAME={sample}", f"PLATFORM={platform_name}", f"PLATFORM_UNIT={platform_unit}", f"PLATFORM_MODEL={platform_model}", f"SEQUENCING_CENTER={sequencing_center}", f"RUN_DATE={run_date}", f"READ_GROUP_NAME={readgroup_name}", # note in the read group (@RG) description (DS) tag # that this was a two-stage demux (since we don't necessarily know from a RG:PU value whether three barcodes means splitcode demux or atypical picard demux with three barcodes) # see: # https://samtools.github.io/hts-specs/SAMv1.pdf#page=4 f"DESCRIPTION=two-stage-demux_with_picard-on-illumina-indices_then_splitcode-on-inner-barcodes" ] string_to_log = f"creating picard FastqToSamTool process {sample_idx+1} for: {sample_name}" future = executor.submit( run_picard_fastq_to_ubam, fq1, fq2, sample, # library name sample_name, out_demux_dir_path, picardOptions, jvm_memory, string_to_log ) bam_conversion_attempted_for_samples.append(sample_name) futures.append(future) for future in concurrent.futures.as_completed(futures): try: sample_name, out_bam = future.result() log.info("worker done processing splitcode output to ubam: %s --> %s", sample_name, out_bam) bams_successfully_created_for_samples.append(sample_name) except subprocess.CalledProcessError as e: log.error("Error running picard FastqToSamTool; return code %s: %s", e.returncode, e.output) raise e bam_conversion_failures = list(set(bam_conversion_attempted_for_samples) - set(bams_successfully_created_for_samples)) if len(bam_conversion_failures)>0: log.warning("picard FastqToSamTool failed for: %s", bam_conversion_failures) # now that we have ubam output, # the fastq files and tabular splitcode inputs are no longer needed # so we can delete the splitcode_out_tmp_dir directory shutil.rmtree(splitcode_out_tmp_dir) #os.unlink(splitcode_out_tmp_dir) # organize samplesheet metadata as json sample_meta = list(samples.get_rows()) for row in sample_meta: row["lane"] = str(lane) if out_meta_by_sample: with open(out_meta_by_sample, "wt") as outf: json.dump(dict((r["sample"], r) for r in sample_meta), outf, indent=2) if out_meta_by_filename: with open(out_meta_by_filename, "wt") as outf: json.dump(dict((r["run"], r) for r in sample_meta), outf, indent=2) def main_splitcode_demux(args): """ Main function to call splitcode_demux from the command line. """ splitcode_demux( inDir = args.inDir, lane = args.lane, outDir = args.outDir, sampleSheet = args.sampleSheet, illumina_run_directory = args.illumina_run_directory, unmatched_name = args.unmatched_name, max_hamming_dist = args.max_hamming_dist, threads = args.threads, runinfo = args.runinfo, platform_name = args.platform_name, flowcell = args.flowcell, run_date = args.run_date, sequencing_center = args.sequencing_center, rev_comp_barcodes_before_demux = args.rev_comp_barcodes_before_demux, out_runinfo = args.out_runinfo, out_meta_by_filename = args.out_meta_by_filename, out_meta_by_sample = args.out_meta_by_sample, predemux_r1_trim_5prime_num_bp = args.predemux_r1_trim_5prime_num_bp, predemux_r1_trim_3prime_num_bp = args.predemux_r1_trim_3prime_num_bp, predemux_r2_trim_5prime_num_bp = args.predemux_r2_trim_5prime_num_bp, predemux_r2_trim_3prime_num_bp = args.predemux_r2_trim_3prime_num_bp, r1_trim_bp_right_of_barcode = args.r1_trim_bp_right_of_barcode, r2_trim_bp_left_of_barcode = args.r2_trim_bp_left_of_barcode, jvm_memory = args.jvm_memory ) def parser_splitcode_demux(parser=None): if parser is None: parser = argparse.ArgumentParser( description="Demultiplex FASTQ files using inline barcodes with splitcode." ) # Positional arguments parser.add_argument( "inDir", help="File path to folder containing gzipped FASTQ files." ) parser.add_argument( "lane", default=None, help="Lane number (used to populate BAM header). Default: read from RunInfo.xml.", ) parser.add_argument( "outDir", help="Output directory for BAM files and other output files." ) # Optional arguments parser.add_argument( "--sampleSheet", default=None, help="""Override SampleSheet. Input tab or CSV file with columns: sample, library_id_per_sample, I7_Index_ID, barcode_1, I5_Index_ID, barcode_2, Inline_Index_ID, barcode_3.. Default is to look for a SampleSheet.csv in the inDir.""", ) parser.add_argument( "--illuminaRunDirectory", dest="illumina_run_directory", default=None, help="""Path to Illumina Run Directory. Default is to look for a RunInfo.xml file in the inDir.""", ) # Optional arguments specific to splitcode_demux parser.add_argument( "--unmatched_name", default="unmatched", help="ID for reads that don't match an inline barcode. Default: 'unmatched'.", ) parser.add_argument( "--max_hamming_dist", type=int, default=1, help="Max allowed Hamming distance for inline barcode matching. Default: 1.", ) # Additional BAM header fields parser.add_argument( "--runInfo", default=None, dest="runinfo", help="""Override RunInfo. Input xml file. Default is to look for a RunInfo.xml file in the inDir.""", ) parser.add_argument( "--platform_name", default=None, help="Platform name (used to populate BAM header). Default: read from RunInfo.xml.", ) parser.add_argument( "--flowcell", default=None, help="Flowcell ID (used to populate BAM header). Default: read from RunInfo.xml.", ) parser.add_argument( "--run_date", default=None, help="Run date (used to populate BAM header). Default: read from RunInfo.xml.", ) # parser.add_argument( # "--readgroup_name", # default=None, # help="Readgroup name (used to populate BAM header). Default: read from RunInfo.xml.", # ) parser.add_argument( "--sequencing_center", default=None, help="Sequencing center (used to populate BAM header). Default: read from RunInfo.xml.", ) parser.add_argument( "--rev_comp_barcodes_before_demux", help="""Reverse complement barcodes before demultiplexing. If specified without setting a value, the "barcode_2" column will be reverse-complemented. If one or more values are specified, the columns with those names will be reverse-complemented. (and if not specified, barcodes will not be reverse-complemented)""", nargs='*', action=util_cmd.storeMultiArgsOrFallBackToConst, type=str, const=["barcode_2"], ) # ----- pre-demux trimming ----- # typical invocation usage: # '--trim_r1_right_of_barcode --predemux_trim_r1_3prime --predemux_trim_r2_5prime --predemux_trim_r2_3prime' parser.add_argument( "--predemux_trim_r1_5prime", dest="predemux_r1_trim_5prime_num_bp", const=18, nargs="?", help="number of bases to trim from the 5' end of read 1 (before demux)", type=int, ) parser.add_argument( "--predemux_trim_r1_3prime", dest="predemux_r1_trim_3prime_num_bp", const=18, nargs="?", help="number of bases to trim from the 3' end of read 1 (before demux)", type=int, ) parser.add_argument( "--predemux_trim_r2_5prime", dest="predemux_r2_trim_5prime_num_bp", const=18, nargs="?", help="number of bases to trim from the 5' end of read 2 (before demux)", type=int, ) parser.add_argument( "--predemux_trim_r2_3prime", dest="predemux_r2_trim_3prime_num_bp", const=18, nargs="?", help="number of bases to trim from the 3' end of read 2 (before demux)", type=int, ) # ------------------------------- # ----- post-demux trimming (relative to barcode position) ----- parser.add_argument( "--trim_r1_right_of_barcode", dest="r1_trim_bp_right_of_barcode", const=10, nargs="?", help="number of bases to trim after the barcode on the right (3') side of read 1 (after demux)", type=int, ) parser.add_argument( "--trim_r2_left_of_barcode", dest="r2_trim_bp_left_of_barcode", const=10, nargs="?", help="number of bases to trim after the barcode on the left (5') side of read 2 (after demux)", type=int, ) # ------------------------------- parser.add_argument( "--out_meta_by_sample", help="Output json metadata by sample", default=None ) parser.add_argument( "--out_meta_by_filename", help="Output json metadata by bam file basename", default=None, ) parser.add_argument( "--out_runinfo", help="Output json metadata about the run", default=None ) parser.add_argument( "--JVMmemory", dest="jvm_memory", help="JVM virtual memory size (default: %(default)s)", default=picard.FastqToSamTool.jvmMemDefault, ) # Attach common arguments. Adjust the default for threads if needed. util_cmd.common_args( parser, (("threads", 32), ("loglevel", None), ("version", None), ("tmp_dir", None)), ) # Attach main function so that the parser can execute the main when run from CLI. util_cmd.attach_main(parser, main_splitcode_demux) return parser __commands__.append(("splitcode_demux", parser_splitcode_demux)) def add_constant_column_to_metrics( metrics_file, column_name, column_value, output_file=None ): """ Add a constant-value column to a Picard-style metrics file. Reads a tab-delimited Picard metrics file and adds a new column as the last column, with all data rows receiving the specified constant value. Args: metrics_file (str): Path to input metrics file (TSV format) column_name (str): Name of the new column (appears in header) column_value (str): Value to set for all rows in the new column output_file (str, optional): Path to output file. If None, overwrites input file. Returns: str: Path to the output file Raises: FileNotFoundError: If metrics_file doesn't exist Example: >>> add_constant_column_to_metrics('demux_metrics.txt', 'DEMUX_TYPE', 'picard') 'demux_metrics.txt' >>> add_constant_column_to_metrics('metrics.txt', 'BATCH', 'batch_1', 'metrics_with_batch.txt') 'metrics_with_batch.txt' """ import os if not os.path.exists(metrics_file): raise FileNotFoundError(f"Metrics file not found: {metrics_file}") if output_file is None: output_file = metrics_file # Read the file, modify it, write to temp, then move to output temp_file = output_file + '.tmp' with open(metrics_file, 'r') as inf, open(temp_file, 'w') as outf: for line in inf: # Preserve comment lines as-is if line.startswith('##'): outf.write(line) continue # Skip empty lines stripped = line.rstrip('\n\r') if not stripped or stripped.isspace(): outf.write(line) continue # Check if this is a header line is_header = any(stripped.startswith(col) for col in [ 'BARCODE', 'SAMPLE_ALIAS', 'OUTPUT', 'LIBRARY_NAME' ]) if is_header: # Add column_name to header outf.write(f"{stripped}\t{column_name}\n") else: # Add column_value to data row outf.write(f"{stripped}\t{column_value}\n") # Move temp file to output file os.replace(temp_file, output_file) log.info(f"Added column '{column_name}' (value: '{column_value}') to {output_file}") return output_file def merge_demux_metrics( input_metrics_files, output_metrics_file, skip_header_merge_check=False ): """ Merge multiple Picard-style demux metrics tab files into a single file. This function takes multiple tab-delimited metrics files (e.g., from Illumina/Picard demux and splitcode demux) and combines them into a single output file. It preserves comment lines from the first file and combines data rows from all files. The function expects all input files to have the same column structure (same columns in the same order), and will raise an error if headers don't match (unless skip_header_merge_check=True). Args: input_metrics_files (list): List of paths to input metrics files (TSV format). Each file should be in Picard-style format with: - Optional comment lines starting with '##' - A header line with tab-separated column names - Data rows with tab-separated values output_metrics_file (str): Path to the output merged metrics file. skip_header_merge_check (bool): If True, skips validation that all files have matching headers. Use with caution - mismatched columns will produce invalid output. Default: False Returns: str: Path to the output metrics file Raises: ValueError: If input_metrics_files is empty or if headers don't match (when skip_header_merge_check=False) FileNotFoundError: If any input file doesn't exist Example: >>> merge_demux_metrics( ... input_metrics_files=[ ... 'illumina_demux_metrics.txt', ... 'splitcode_demux_metrics_picard-style.txt' ... ], ... output_metrics_file='merged_demux_metrics.txt' ... ) 'merged_demux_metrics.txt' Output format: The output file will have: - Comment lines from the first file (lines starting with '##') - The header line from the first file - All data rows from all input files (in order of input_metrics_files) Notes: - Skips empty lines and whitespace-only lines - Preserves all comment lines from the first file only - The DEMUX_TYPE column (if present) should differentiate rows from different sources - Files are processed in the order provided in input_metrics_files """ import os # Validate inputs if not input_metrics_files: raise ValueError("input_metrics_files cannot be empty") # Check all input files exist for f in input_metrics_files: if not os.path.exists(f): raise FileNotFoundError(f"Input metrics file not found: {f}") reference_header = None first_file = True with open(output_metrics_file, 'w') as outf: for file_idx, metrics_file in enumerate(input_metrics_files): with open(metrics_file, 'r') as inf: current_file_header = None for line in inf: # Preserve comment lines from first file only if line.startswith('##'): if first_file: outf.write(line) continue # Skip empty lines stripped = line.rstrip('\n\r') if not stripped or stripped.isspace(): continue # Detect header line (contains common column names) is_header = any(stripped.startswith(col) for col in [ 'BARCODE', 'SAMPLE_ALIAS', 'OUTPUT', 'LIBRARY_NAME' ]) if is_header: current_file_header = stripped if reference_header is None: # First header - write it and set as reference reference_header = stripped outf.write(f"{stripped}\n") else: # Subsequent headers - validate they match if not skip_header_merge_check and current_file_header != reference_header: raise ValueError( f"Header mismatch in file '{metrics_file}'.\n" f"Expected: {reference_header}\n" f"Got: {current_file_header}\n" f"Use skip_header_merge_check=True to bypass this check." ) # Don't write duplicate headers continue # Data line - write it outf.write(f"{stripped}\n") first_file = False log.info(f"Merged {len(input_metrics_files)} demux metrics files into {output_metrics_file}") return output_metrics_file def parser_merge_demux_metrics(parser=argparse.ArgumentParser()): """ Argument parser for merge_demux_metrics entry point. """ parser.add_argument( 'input_metrics_files', nargs='+', help='Input Picard-style demux metrics files to merge (TSV format). Specify multiple files separated by spaces.' ) parser.add_argument( 'output_metrics_file', help='Output path for merged demux metrics file' ) parser.add_argument( '--skip_header_merge_check', action='store_true', help='Skip validation that all input files have matching column headers. Use with caution.' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, merge_demux_metrics, split_args=True) return parser __commands__.append(('merge_demux_metrics', parser_merge_demux_metrics)) # ======================= def full_parser(): return util_cmd.make_parser(__commands__, __doc__) def main(): util_cmd.main_argparse(__commands__, __doc__) if __name__ == "__main__": main() ================================================ FILE: src/viral_ngs/interhost.py ================================================ #!/usr/bin/env python ''' This script contains a number of utilities for SNP calling, multi-alignment, phylogenetics, etc. ''' __author__ = "PLACEHOLDER" __commands__ = [] # built-ins import argparse import logging import os import json from collections import OrderedDict # third-party libraries import Bio.AlignIO, Bio.SeqIO # module-specific from .core import cmd from .core import file from .core.misc import CoordMapperError, CoordMapper, CoordMapper2Seqs from .phylo import muscle from .phylo import snpeff from .phylo import mafft from .phylo import vcf log = logging.getLogger(__name__) # ========== snpEff annotation of VCF files ================== def parser_snpEff(parser=argparse.ArgumentParser()): parser.add_argument("inVcf", help="Input VCF file") parser.add_argument("genomes", nargs='+', help="genome name (snpEff db name, or NCBI accessions)") parser.add_argument("outVcf", help="Output VCF file") parser.add_argument("--emailAddress", help="""Your email address. To access the Genbank CoreNucleotide database, NCBI requires you to specify your email address with each request. In case of excessive usage of the E-utilities, NCBI will attempt to contact a user at the email address provided before blocking access.""") cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, snpeff.SnpEff().annotate_vcf, split_args=True) return parser __commands__.append(('snpEff', parser_snpEff)) # ======================= # *** align_mafft *** # ======================= def parser_general_mafft(parser=argparse.ArgumentParser()): parser.add_argument('inFastas', nargs='+', help='Input FASTA files.') group = parser.add_mutually_exclusive_group() group.add_argument('--localpair', default=None, action='store_true', help='All pairwise alignments are computed with the Smith-Waterman algorithm.') group.add_argument('--globalpair', default=None, action='store_true', help='All pairwise alignments are computed with the Needleman-Wunsch algorithm.') parser.add_argument('--preservecase', default=None, action='store_true', help='Preserve base or aa case, as well as symbols.') parser.add_argument('--reorder', default=None, action='store_true', help='Output is ordered aligned rather than in the order of the input (default: %(default)s).') parser.add_argument('--gapOpeningPenalty', default=1.53, type=float, help='Gap opening penalty (default: %(default)s).') parser.add_argument('--ep', type=float, help='Offset (works like gap extension penalty).') parser.add_argument('--verbose', default=False, action='store_true', help='Full output (default: %(default)s).') parser.add_argument('--outputAsClustal', default=None, action='store_true', help='Write output file in Clustal format rather than FASTA') parser.add_argument( '--maxiters', default=0, type=int, help="""Maximum number of refinement iterations (default: %(default)s). Note: if "--localpair" or "--globalpair" is specified this defaults to 1000.""") return parser def parser_align_mafft(parser): parser = parser_general_mafft(parser) parser.add_argument('outFile', help='Output file containing alignment result (default format: FASTA)') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_align_mafft) return parser def main_align_mafft(args): ''' Run the mafft alignment on the input FASTA file.''' mafft.MafftTool().execute( inFastas=args.inFastas, outFile=args.outFile, localpair=args.localpair, globalpair=args.globalpair, preservecase=args.preservecase, reorder=args.reorder, gapOpeningPenalty=args.gapOpeningPenalty, offset=args.ep, verbose=args.verbose, outputAsClustal=args.outputAsClustal, maxiters=args.maxiters, threads=args.threads) return 0 __commands__.append(('align_mafft', parser_align_mafft)) # ======================= # *** multichr_mafft *** # ======================= def parser_multichr_mafft(parser): parser = parser_general_mafft(parser) parser.add_argument('outDirectory', help='Location for the output files (default is cwd: %(default)s)') parser.add_argument('--outFilePrefix', default="aligned", help='Prefix for the output file name (default: %(default)s)') parser.add_argument('--sampleRelationFile', default=None, help="""If the parameter sampleRelationFile is specified (as a file path), a JSON file will be written mapping sample name to sequence position in the output.""") parser.add_argument('--sampleNameListFile', default=None, help="""If the parameter sampleRelationFile is specified (as a file path), a file will be written mapping sample names in the order of their sequence positions in the output.""") cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, multichr_mafft) return parser def multichr_mafft(args): ''' Run the mafft alignment on a series of chromosomes provided in sample-partitioned FASTA files. Output as FASTA. (i.e. file1.fasta would contain chr1, chr2, chr3; file2.fasta would also contain chr1, chr2, chr3)''' # get the absolute path to the output directory in case it has been specified as a relative path, # since MAFFT relies on its CWD for path resolution absoluteOutDirectory = os.path.abspath(args.outDirectory) # make the output directory if it does not exist if not os.path.isdir(absoluteOutDirectory): os.makedirs(absoluteOutDirectory) # prefix for output files prefix = "" if args.outFilePrefix is None else args.outFilePrefix # reorder the data into new FASTA files, where each FASTA file has only variants of its respective chromosome transposedFiles = file.transposeChromosomeFiles(args.inFastas, args.sampleRelationFile, args.sampleNameListFile) # since the FASTA files are for idx, filePath in enumerate(transposedFiles): # execute MAFFT alignment. The input file is passed within a list, since argparse ordinarily # passes input files in this way, and the MAFFT tool expects lists, # but in this case we are creating the input file ourselves mafft.MafftTool().execute( inFastas=[os.path.abspath(filePath)], outFile=os.path.join(absoluteOutDirectory, "{}_{}.fasta".format(prefix, idx + 1)), localpair=args.localpair, globalpair=args.globalpair, preservecase=args.preservecase, reorder=args.reorder, gapOpeningPenalty=args.gapOpeningPenalty, offset=args.ep, verbose=args.verbose, outputAsClustal=args.outputAsClustal, maxiters=args.maxiters, threads=args.threads) return 0 __commands__.append(('multichr_mafft', parser_multichr_mafft)) # ============================ # modified version of rachel's call_snps_3.py follows def call_snps_3(inFasta, outVcf, REF="KJ660346.2"): a = Bio.AlignIO.read(inFasta, "fasta") ref_idx = find_ref(a, REF) with open(outVcf, 'wt') as outf: outf.write(vcf_header(a)) for row in make_vcf(a, ref_idx, REF): outf.write('\t'.join(map(str, row)) + '\n') def find_ref(a, ref): for i in range(len(a)): if a[i].id == ref: return i return -1 def vcf_header(a): header = "##fileformat=VCFv4.1\n" header += "##FORMAT=\n" header += "##contig=\n" header += '#' + '\t'.join(['CHROM', 'POS', 'ID', 'REF', 'ALT', 'QUAL', 'FILTER', 'INFO', 'FORMAT'] + [x.id for x in a]) + '\n' # pylint: disable=E1101 return header def make_vcf(a, ref_idx, chrom): bases = set(["A", "C", "G", "T"]) for i in range(len(a[0])): alt = [] for j in range(len(a)): if (a[j][i] != a[ref_idx][i]) and ((a[ref_idx][i] in bases) and (a[j][i] in bases)) and a[j][i] not in alt: alt.append(a[j][i]) if len(alt) > 0: row = [chrom, i + 1, '.', a[ref_idx][i], ','.join(alt), '.', '.', '.', 'GT'] genos = [] for k in range(len(a)): if a[k][i] == a[ref_idx][i]: genos.append(0) elif a[k][i] not in bases: genos.append(".") else: for m in range(0, len(alt)): if a[k][i] == alt[m]: genos.append(m + 1) yield row + genos def full_parser(): return cmd.make_parser(__commands__, __doc__) def main(): cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/intrahost.py ================================================ #!/usr/bin/env python '''This script contains a number of utilities for intrahost variant calling and annotation for viral genomes. ''' __author__ = "dpark@broadinstitute.org, rsealfon@broadinstitute.org, "\ "swohl@broadinstitute.org, irwin@broadinstitute.org" __commands__ = [] # built-ins import argparse import logging import itertools import re import os import collections # third-party import Bio.AlignIO import Bio.SeqIO import Bio.Data.IUPACData import pysam # module-specific from .core import samtools from .core import cmd from .core import file from .core import misc from .phylo import genbank from .phylo import vcf from .phylo import vphaser2 from .core.stats import median, fisher_exact, chi2_contingency from . import interhost log = logging.getLogger(__name__) # ============= class AlleleFieldParser ================= class AlleleFieldParser(object): """ Class for converting between the string and list representation of the fields in the allele columns of vphaser_one_sample output (corresponding to the SNP_or_LP_Profile columns in the V-Phaser 2 output). """ __slots__ = ('_allele', '_strandCounts', '_libBiasPval', '_libCounts') def __init__(self, field=None, allele=None, fcount=None, rcount=None, libBiasPval=None, libCounts=None): """ Input is either the string stored in one of the allele columns. or set field values. """ if field is None: self._allele = allele self._strandCounts = [fcount, rcount] self._libBiasPval = libBiasPval self._libCounts = libCounts # libCounts is a list of 2-element lists else: words = field.split(':') self._allele = words[0] self._strandCounts = [int(words[1]), int(words[2])] self._libCounts = [[int(words[ii]), int(words[ii + 1])] for ii in range(3, len(words) - 1, 2)] self._libBiasPval = float(words[-1]) def __repr__(self): """Convert to string representation.""" return ':'.join([self._allele] + list(map(str, self._strandCounts)) + sum((list(map( str, libCount)) for libCount in self._libCounts), []) + ['%.4g' % self._libBiasPval]) def allele(self): """ Return allele: A, C, G, or T for SNVs, Dn with n > 0 for deletions, Ibases where bases is a string of two or more bases for inserts """ return self._allele def total(self): return sum(self._strandCounts) def strand_counts(self): "Return [# forward reads (all libs), # reverse reads (all libs)]" return self._strandCounts def allele_and_strand_counts(self): return [self.allele()] + self.strand_counts() def lib_counts(self): """Yield [# forward reads, # reverse reads] for each library, in order of read groups in BAM file. """ for counts in self._libCounts: yield counts def lib_bias_pval(self): "Return a p-value on whether there is a library bias for this allele." return self._libBiasPval # ========== vphaser_one_sample ================= defaultMinReads = 5 defaultMaxBias = 10 def vphaser_one_sample(inBam, inConsFasta, outTab, vphaserNumThreads=None, minReadsEach=None, maxBias=None, removeDoublyMappedReads=False): ''' Input: a single BAM file, representing reads from one sample, mapped to its own consensus assembly. It may contain multiple read groups and libraries. Output: a tab-separated file with no header containing filtered V Phaser-2 output variants with additional column for sequence/chrom name, and library counts and p-values appended to the counts for each allele. ''' samtoolsTool = samtools.SamtoolsTool() if minReadsEach is not None and minReadsEach < 0: raise Exception('minReadsEach must be at least 0.') sorted_bam_file = inBam if not file.bam_is_sorted(inBam): sorted_bam_file = file.mkstempfname('.mapped-sorted.bam') sorted_bam_file_tmp = file.mkstempfname('.mapped-sorted.bam') samtoolsTool.sort(args=['-T', sorted_bam_file_tmp], inFile=inBam, outFile=sorted_bam_file) bam_to_process = sorted_bam_file if removeDoublyMappedReads: leading_or_trailing_indels_removed = file.mkstempfname('.mapped-leading_or_trailing_indels_removed.bam') # vphaser crashes when cigar strings have leading or trailing indels # so we will use filterByCigarString() with its default regex to remove such reads samtoolsTool.filterByCigarString(sorted_bam_file, leading_or_trailing_indels_removed) bam_to_process = file.mkstempfname('.mapped-withdoublymappedremoved.bam') samtoolsTool.removeDoublyMappedReads(leading_or_trailing_indels_removed, bam_to_process) os.unlink(leading_or_trailing_indels_removed) samtoolsTool.index(bam_to_process) # For low-quality data, the process of removing doubly-mapped reads # can remove all reads. In such cases, stub out an empty vphaser output # file to allow the pipeline to continue if samtoolsTool.count(bam_to_process) == 0: log.warning("The bam file %s has 0 reads after removing doubly-mapped reads. Writing blank V-Phaser output.", bam_to_process) file.touch(outTab) return None variantIter = vphaser2.Vphaser2Tool().iterate(bam_to_process, vphaserNumThreads) filteredIter = filter_strand_bias(variantIter, minReadsEach, maxBias) libraryFilteredIter = compute_library_bias(filteredIter, bam_to_process, inConsFasta) with file.open_or_gzopen(outTab, 'wt') as outf: for row in libraryFilteredIter: outf.write('\t'.join(row) + '\n') def filter_strand_bias(isnvs, minReadsEach=None, maxBias=None): ''' Take an iterator of V-Phaser output (plus chromosome name prepended) and perform hard filtering for strand bias ''' alleleCol = 7 # First column of output with allele counts if minReadsEach is None: minReadsEach = defaultMinReads if maxBias is None: maxBias = defaultMaxBias for row in isnvs: #front = row[:alleleCol] for fieldInd in range(len(row) - 1, alleleCol - 1, -1): f, r = AlleleFieldParser(row[fieldInd]).strand_counts() if (int(f) < minReadsEach or int(r) < minReadsEach or (minReadsEach > 0 and not (maxBias >= (float(f) / float(r)) >= 1.0 / maxBias))): del row[fieldInd] if len(row) > alleleCol + 1: row[alleleCol:] = sorted(row[alleleCol:], key=lambda field: AlleleFieldParser(field).total(), reverse=True) mac = sum(AlleleFieldParser(field).total() for field in row[alleleCol + 1:]) tot = sum(AlleleFieldParser(field).total() for field in row[alleleCol:]) row[2] = AlleleFieldParser(row[alleleCol + 1]).allele() row[3] = AlleleFieldParser(row[alleleCol]).allele() row[6] = '%.6g' % (100.0 * mac / tot) yield row def compute_library_bias(isnvs, inBam, inConsFasta): ''' For each variant, compute read counts in each library and p-value for library bias; append them to string for each variant. Format is allele:totalF:totalR:1stLibFCount:1stLibRCount:2ndLibFCount:...:p-val. Library counts are in alphabetical order of library IDs. Note: Total was computed by vphaser, library counts by samtools mpileup, so total might not be sum of library counts. ''' alleleCol = 7 # First column of output with allele counts samtoolsTool = samtools.SamtoolsTool() rgs_by_lib = sorted((rg['LB'], rg['ID']) for rg in samtoolsTool.getReadGroups(inBam).values()) rgs_by_lib = itertools.groupby(rgs_by_lib, lambda x: x[0]) libBams = [] header_sam = file.mkstempfname('.sam') samtoolsTool.dumpHeader(inBam, header_sam) for lib, rgs in rgs_by_lib: rgs = list(idVal for lb, idVal in rgs) # Create libBam containing all the readgroups in rgs. # In samtools 1.1, this can be done by including -r multiple times on # a single command line, but that doesn't work in 0.1.19, so instead # extract readgroups one by one and then concatenate. rgBams = [] for idVal in rgs: rgBam = file.mkstempfname('.bam') samtoolsTool.view(['-b', '-r', idVal], inBam, rgBam) samtoolsTool.index(rgBam) if samtoolsTool.count(rgBam) > 0: rgBams.append(rgBam) else: # most samtools functions don't like empty input bams, so skip them os.unlink(rgBam) if rgBams: if len(rgBams) > 1: libBam = file.mkstempfname('.bam') samtoolsTool.merge(rgBams, libBam, ['-f', '-1', '-h', header_sam]) for bam in rgBams: os.unlink(bam) else: # samtools merge cannot deal with only one (or zero) input bams libBam = rgBams[0] samtoolsTool.index(libBam) n_reads = samtoolsTool.count(libBam) log.debug("LB:%s has %s reads in %s read group(s) (%s)", lib, n_reads, len(rgs), ', '.join(rgs)) libBams.append(libBam) for row in isnvs: consensusAllele = row[3] pos = int(row[1]) if consensusAllele != 'i' else int(row[1]) - 1 chrom = row[0] libCounts = [get_mpileup_allele_counts(libBamItem, chrom, pos, inConsFasta, samtools=samtoolsTool) for libBamItem in libBams] numAlleles = len(row) - alleleCol countsMatrix = [[0] * numAlleles for lib in libBams] libCountsByAllele = [] for alleleInd in range(numAlleles): allele = row[alleleCol + alleleInd].split(':')[0] libCountsByAllele.append([]) for libAlleleCounts, countsRow in zip(libCounts, countsMatrix): f, r = libAlleleCounts.get(allele, [0, 0]) libCountsByAllele[-1].append([f, r]) countsRow[alleleInd] += f + r for alleleInd in range(numAlleles): contingencyTable = [ [countsRow[alleleInd] for countsRow in countsMatrix], [sum(countsRow) - countsRow[alleleInd] for countsRow in countsMatrix] ] rowSums = map(sum, contingencyTable) dofs = len(libCounts) - 1 if dofs < 1: pval = 1.0 elif min(rowSums) ** dofs / dofs < 10000: # At this cutoff, fisher_exact should take <~ 0.1 sec pval = fisher_exact(contingencyTable) else: pval = chi2_contingency(contingencyTable) row[alleleCol + alleleInd] = str(AlleleFieldParser(None, *(row[alleleCol + alleleInd].split(':') + [pval, libCountsByAllele[alleleInd]]))) yield row for bam in libBams: os.unlink(bam) os.unlink(header_sam) def parse_alleles_string(allelesStr): # Return {allele : [forwardCount, reverseCount]} # For reference, allele is '.' rather than real allele alleleCounts = {} # allele : [forwardCount, reverseCount] pos = -1 digits = re.compile('[0-9]+') while pos < len(allelesStr) - 1: pos += 1 c = allelesStr[pos] if c in '.,': allele = '.' isRev = c == ',' elif c in '<>$*': # Reference skip, end of read, placeholder continue # Not interested in these elif c == '^': # Start of read pos += 1 # Skip quality character continue elif c in 'ACGTNacgtn': allele = c.upper() isRev = c == c.lower() elif c in '+-': # e.g., +3aaa mat = digits.match(allelesStr, pos + 1) indelLen = int(allelesStr[mat.start():mat.end()]) indelStr = allelesStr[mat.end():mat.end() + indelLen] allele = 'I' + indelStr.upper() if c == '+' else 'D' + str(indelLen) isRev = indelStr == indelStr.lower() pos += mat.end() - mat.start() + indelLen else: raise Exception('Unknown allele type %s' % c) alleleCounts.setdefault(allele, [0, 0]) alleleCounts[allele][isRev] += 1 return alleleCounts def get_mpileup_allele_counts(inBam, chrom, pos, inConsFasta, samtools=None): """ Return {allele : [forwardCount, reverseCount], ...} allele is: Iins for insertions where ins represents the inserted bases Dlen for deletions where len is the length of the deletion base itself for non-indels 'i' or 'd', in which case report count for consensus. """ samtools = samtools or samtools.SamtoolsTool() pileupFileName = file.mkstempfname('.txt') # bcftools params # https://samtools.github.io/bcftools/bcftools.html#mpileup # -A, --count-orphans Do not skip anomalous read pairs in variant calling. # -r, --regions Only generate mpileup output in given regions. Requires the alignment files to be indexed. # -B, --no-BAQ Disable probabilistic realignment for the computation of base alignment quality (BAQ). # -d, --max-depth At a position, read maximally INT reads per input file. # -L, --max-idepth Skip INDEL calling if the average per-sample depth is above INT # -Q, --min-BQ Minimum base quality for a base to be considered # -f, --fasta-ref The faidx-indexed reference file in the FASTA format. The file can be optionally compressed by bgzip. # bcftools.mpileup(inBam, pileupFileName, ['-A', '-r', '%s:%d-%d' % (chrom, pos, pos), '-B', '-d', '50000', # '-L', '50000', '-Q', '0', '-O', 'v', '-f', inConsFasta]) samtools.mpileup(inBam, pileupFileName, ['-A', '-r', '%s:%d-%d' % (chrom, pos, pos), '-B', '-d', '50000', '-Q', '0', '-f', inConsFasta]) with open(pileupFileName) as pileupFile: words = pileupFile.readline().split('\t') if len(words) < 5: # empty output files means no reads pile up on this position return {} alleleCounts = parse_alleles_string(words[4]) # '.' is whatever mpileup thinks is the reference base (which might be # different from vphaser's consensus base). This is the count we want to # report for this base, but we also want to report this count for what # vphaser calls 'i' or 'd'. # This will probably be wrong in the unlikely case that there are both # an indel and a snp at the same position, and vphaser's consensus base # is different from mpileup's at that position. refAllele = words[2] alleleCounts['i'] = alleleCounts['d'] = alleleCounts[refAllele] = \ alleleCounts.get('.', [0, 0]) return alleleCounts def parser_vphaser_one_sample(parser=argparse.ArgumentParser()): parser.add_argument("inBam", help="Input Bam file.") parser.add_argument("inConsFasta", help="Consensus assembly fasta.") parser.add_argument("outTab", help="Tab-separated headerless output file.") parser.add_argument("--vphaserNumThreads", type=int, default=None, help="Number of threads in call to V-Phaser 2.") parser.add_argument("--minReadsEach", type=int, default=defaultMinReads, help="Minimum number of reads on each strand (default: %(default)s).") parser.add_argument("--maxBias", type=int, default=defaultMaxBias, help="""Maximum allowable ratio of number of reads on the two strands (default: %(default)s). Ignored if minReadsEach = 0.""") parser.add_argument("--removeDoublyMappedReads", default=False, action="store_true", help="""When calling V-Phaser, remove reads mapping to more than one contig. Default is to keep the reads.""") cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, vphaser_one_sample, split_args=True) return parser __commands__.append(('vphaser_one_sample', parser_vphaser_one_sample)) # ========== vphaser ================= def parser_vphaser(parser=argparse.ArgumentParser()): parser.add_argument("inBam", help="Input Bam file.") parser.add_argument("outTab", help="Tab-separated headerless output file.") parser.add_argument("--numThreads", type=int, default=None, help="Number of threads in call to V-Phaser 2.") cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, vphaser_main, split_args=True) return parser def vphaser_main(inBam, outTab, numThreads=None): """ Run V-Phaser 2 on the input file without any additional filtering. Combine the non-header lines of the CHROM.var.raw.txt files it produces, adding CHROM as the first field on each line. """ with open(outTab, 'wt') as outf: for row in vphaser2.Vphaser2Tool().iterate(inBam, numThreads): outf.write('\t'.join(row) + '\n') __commands__.append(('vphaser', parser_vphaser)) # ========== tabfile_values_rename ================= def tabfile_values_rename(inFile, mapFile, outFile, col=0): ''' Take input tab file and copy to an output file while changing the values in a specific column based on a mapping file. The first line will pass through untouched (it is assumed to be a header). ''' # read map with open(mapFile, 'rt') as inf: name_map = dict(line.strip().split('\t') for line in inf) # convert file with open(outFile, 'wt') as outf: with open(inFile, 'rt') as inf: # copy header row verbatim outf.write(inf.readline()) # all other rows: remap the specified column's values for line in inf: row = line.rstrip('\n').split('\t') row[col] = name_map[row[col]] outf.write('\t'.join(row) + '\n') def parser_tabfile_rename(parser=argparse.ArgumentParser()): parser.add_argument("inFile", help="Input flat file") parser.add_argument("mapFile", help="""Map file. Two-column headerless file that maps input values to output values. This script will error if there are values in inFile that do not exist in mapFile.""") parser.add_argument("outFile", help="Output flat file") parser.add_argument("--col_idx", dest="col", type=int, help="""Which column number to replace (0-based index). [default: %(default)s]""", default=0) cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, tabfile_values_rename, split_args=True) return parser __commands__.append(('tabfile_rename', parser_tabfile_rename)) # ========== merge_to_vcf =========================== def count_iter_items(iterable): """ Consume an iterable not reading it into memory; return the number of items. """ counter = itertools.count() collections.deque(zip(iterable, counter), maxlen=0) # (consume at C speed) return next(counter) def strip_accession_version(acc): ''' If this is a Genbank accession with a version number, remove the version number. ''' m = re.match(r"^(\S+)\.\d+$", acc) if m: acc = m.group(1) return acc # def merge_to_vcf(refFasta, outVcf, samples, isnvs, assemblies, strip_chr_version=False, naive_filter=False): def merge_to_vcf( refFasta, outVcf, samples, isnvs, alignments, strip_chr_version=False, naive_filter=False, parse_accession=False): ''' Combine and convert vPhaser2 parsed filtered output text files into VCF format. Assumption: consensus assemblies used in creating alignments do not extend beyond ends of reference. the number of alignment files equals the number of chromosomes / segments ''' guessed_samples = [] if not samples: samplenames_from_isnvs = [] for isnvs_file in isnvs: for row in file.read_tabfile(isnvs_file): guessed_sample_ID = sampleIDMatch(row[0]) if guessed_sample_ID not in samplenames_from_isnvs: samplenames_from_isnvs.append(guessed_sample_ID) samplenames_from_alignments = set() for alignmentFile in alignments: with file.open_or_gzopen(alignmentFile, 'r') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): samplenames_from_alignments.add(sampleIDMatch(seq.id)) refnames = set() with file.open_or_gzopen(refFasta, 'r') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): refnames.add(sampleIDMatch(seq.id)) # sample names from the isnv files, in that order, # followed by sample names seen in the alignments, minus the former and the reference IDs guessed_samples = samplenames_from_isnvs + list(samplenames_from_alignments-(refnames|set(samplenames_from_isnvs))) log.info("guessed sample names %s" % guessed_samples) samples = samples if samples is not None and len(samples)>0 else guessed_samples samp_to_isnv = {} # if we had to guess sample names, match them up to isnv files if len(guessed_samples)>0: matched_samples = [] matched_isnv_files = [] for sample in samples: sample_found=False for isnvs_file in isnvs: for row in file.read_tabfile(isnvs_file): if sample==sampleIDMatch(row[0]): samp_to_isnv[sample] = isnvs_file sample_found=True matched_samples.append(sample) matched_isnv_files.append(isnvs_file) break if sample_found: break samples = matched_samples isnvs = matched_isnv_files else: samp_to_isnv = dict(zip(samples, isnvs)) log.info(samp_to_isnv) # get IDs and sequence lengths for reference sequence with file.open_or_gzopen(refFasta, 'r') as inf: ref_chrlens = list((seq.id, len(seq)) for seq in Bio.SeqIO.parse(inf, 'fasta')) # use the output filepath specified if it is a .vcf, otherwise if it is gzipped we need # to write to a temp VCF and then compress to vcf.gz later if outVcf.endswith('.vcf.gz'): tmpVcf = file.mkstempfname('.vcf') elif outVcf.endswith('.vcf'): tmpVcf = outVcf else: raise ValueError("outVcf must end in .vcf or .vcf.gz") log.info("loaded CoordMapper for all genomes, starting VCF merge...") # write header with open(tmpVcf, 'w') as outf: # write header outf.write('##fileformat=VCFv4.1\n') outf.write('##FORMAT=\n') outf.write('##FORMAT=\n') outf.write('##FORMAT=\n') outf.write('##FORMAT=\n') outf.write( '##FORMAT=\n') # write out the contig lengths present in the reference genome for c, clen in ref_chrlens: if parse_accession: c = genbank.parse_accession_str(c) if strip_chr_version: c = strip_accession_version(c) outf.write('##contig=\n' % (c, clen)) # write out the name of the reference file used to generate the VCF outf.write('##reference=file://%s\n' % refFasta) header = ['CHROM', 'POS', 'ID', 'REF', 'ALT', 'QUAL', 'FILTER', 'INFO', 'FORMAT'] + samples outf.write('#' + '\t'.join(header) + '\n') # compress output if requested if outVcf.endswith('.vcf.gz'): pysam.tabix_compress(tmpVcf, outVcf, force=True) pysam.tabix_index(outVcf, force=True, preset='vcf') with open(tmpVcf, 'a') as outf: if not len(ref_chrlens) == len(alignments): raise LookupError("there must be an alignment file for each chromosome/segment present in the reference") # we are assuming that the reference sequences have the same IDs in the alignments and in the # reference fasta, but we need to relate each reference sequence (chromosome/segment) to a specific # alignment file and index within the alignment ref_seq_id_to_alignment_file = dict() ref_seq_in_alignment_file = dict() # copy the list of alignment files alignmentFiles = list(alignments) with file.open_or_gzopen(refFasta, 'r') as inf: for refSeq in Bio.SeqIO.parse(inf, 'fasta'): for alignmentFile in alignmentFiles: with file.open_or_gzopen(alignmentFile, 'r') as inf2: for seq in Bio.SeqIO.parse(inf2, 'fasta'): if refSeq.id == seq.id: ref_seq_id_to_alignment_file[seq.id] = alignmentFile ref_seq_in_alignment_file[seq.id] = seq.seq.replace("-","") if len(ref_seq_id_to_alignment_file) < len(ref_chrlens): raise LookupError("Not all reference sequences found in alignments.") if len(guessed_samples)==0 and not (len(samples) == len(isnvs)): raise LookupError( "There must be an isnv file for each sample. %s samples, %s isnv files" % (len(samples), len(isnvs))) for fileName in alignments: with file.open_or_gzopen(fileName, 'r') as inf: # get two independent iterators into the alignment file number_of_aligned_sequences = count_iter_items(Bio.SeqIO.parse(inf, 'fasta')) num_isnv_files = len(isnvs) # -1 is to account for inclusion of reference in the alignement in addition # to the assemblies # if we had to guess samples only check that the number of isnv files == number of alignments if len(guessed_samples)==0: if not (number_of_aligned_sequences - 1) == num_isnv_files == len(samples): raise LookupError( """The number of isnv files provided (%s) and must equal the number of sequences seen in the alignment (%s) (plus an extra reference record in the alignment), as well as the number of sample names provided (%s) %s does not have the right number of sequences""" % (num_isnv_files,number_of_aligned_sequences - 1,len(samples),fileName)) # one reference chrom at a time with open(refFasta, 'r') as inf: for ref_sequence in Bio.SeqIO.parse(inf, 'fasta'): samp_to_seqIndex = dict() #ref_sequence = ref_seq_in_alignment_file[refSequence.id] # make a coordmapper to map all alignments to this reference sequence cm = interhost.CoordMapper() cm.load_alignments([ref_seq_id_to_alignment_file[ref_sequence.id]]) # ======================== # to map from ref->sample # cm[ref_sequence.id][s] # to map sample->ref # cm[s][ref_sequence.id] # read in all iSNVs for this chrom and map to reference coords data = [] # use conditional matching to only include the sequences that match the sample basename provided samplesToUse = [x for x in cm.chrMaps.keys() if sampleIDMatch(x) in samples] alignmentFile = ref_seq_id_to_alignment_file[ref_sequence.id] with file.open_or_gzopen(alignmentFile, 'r') as alignFileIn: for seq in Bio.SeqIO.parse(alignFileIn, 'fasta'): for sampleName in samplesToUse: if seq.id == sampleName: samp_to_seqIndex[sampleName] = seq.seq.replace("-","") break if not len(samp_to_seqIndex) == len(samplesToUse): raise LookupError( "Sequence info not found in file %s for all sample names provided. Check alignment files." % alignmentFile) for s in samplesToUse: isnv_filepath = samp_to_isnv[sampleIDMatch(s)] for row in file.read_tabfile(isnv_filepath): # map ref->sample s_chrom = cm.mapChr(ref_sequence.id, s) if row[0] == s_chrom: allele_fields = list(AlleleFieldParser(x) for x in row[7:] if x) row = { 'sample': s, 'CHROM': ref_sequence.id, 's_chrom': s_chrom, 's_pos': int(row[1]), 's_alt': row[2], 's_ref': row[3], 'alleles': list(x.allele_and_strand_counts() for x in allele_fields), 'n_libs': dict( (x.allele(), sum(1 for f, r in x.lib_counts() if f + r > 0)) for x in allele_fields), 'lib_bias': dict( (x.allele(), x.lib_bias_pval()) for x in allele_fields), } # make a sorted allele list row['allele_counts'] = list(sorted( [(a, int(f) + int(r)) for a, f, r in row['alleles']], key=(lambda x: x[1]), reverse=True)) # naive filter (quick and dirty) if naive_filter: # require 2 libraries for every allele call row['allele_counts'] = list((a, n) for a, n in row['allele_counts'] if row['n_libs'][a] >= 2) # recompute total read counts for remaining tot_n = sum(n for a, n in row['allele_counts']) # require allele frequency >= 0.5% row['allele_counts'] = list((a, n) for a, n in row['allele_counts'] if tot_n > 0 and float(n) / tot_n >= 0.005) # drop this position:sample if no variation left if len(row['allele_counts']) < 2: log.info( """dropping iSNV at %s:%s (%s) because no variation remains after simple filtering""", row['s_chrom'], row['s_pos'], row['sample']) continue # reposition vphaser deletions minus one to be consistent with # VCF conventions if row['s_alt'].startswith('D'): for a, n in row['allele_counts']: if a[0] not in ('D', 'i'): log.error("allele_counts: " + str(row['allele_counts'])) raise Exception("deletion alleles must always start with D or i") row['s_pos'] = row['s_pos'] - 1 # map position back to reference coordinates row['POS'] = cm.mapChr(s, ref_sequence.id, row['s_pos'], side=-1)[1] row['END'] = cm.mapChr(s, ref_sequence.id, row['s_pos'], side=1)[1] if row['POS'] == None or row['END'] == None: raise Exception('consensus extends beyond start or end of reference.') data.append(row) # sort all iSNVs (across all samples) and group by position data = sorted(data, key=(lambda row: row['POS'])) data = itertools.groupby(data, lambda row: row['POS']) # process one reference position at a time from for pos, rows in data: # each of the sample-specific variants for a given ref pos rows = list(rows) # define the length of this variation based on the largest deletion end = pos for row in rows: end = max(end, row['END']) for a, n in row['allele_counts']: if a.startswith('D'): # end of deletion in sample's coord space local_end = row['s_pos'] + int(a[1:]) # end of deletion in reference coord space ref_end = cm.mapChr(row['s_chrom'], ref_sequence.id, local_end, side=1)[1] if ref_end is None: raise Exception('consensus extends ' 'beyond start or end of reference.') end = max(end, ref_end) # find reference allele and consensus alleles refAllele = str(ref_sequence[pos - 1:end].seq) consAlleles = {} # the full pos-to-end consensus assembly sequence for each sample samp_offsets = {} # {sample : isnv's index in its consAllele string} for row in rows: s_pos = row['s_pos'] sample = row['sample'] if samp_offsets.get(sample, s_pos) != s_pos: raise NotImplementedError('Sample %s has variants at 2 ' 'positions %s mapped to same reference position (%s:%s)' % (sample, (s_pos, samp_offsets[sample]), ref_sequence.id, pos)) samp_offsets[sample] = s_pos for s in samplesToUse: # map ref to s cons_start = cm.mapChr(ref_sequence.id, s, pos, side=-1)[1] cons_stop = cm.mapChr(ref_sequence.id, s, end, side=1)[1] if cons_start is None or cons_stop is None: log.info("variant is outside consensus assembly " "for %s at %s:%s-%s.", s, ref_sequence.id, pos, end) continue cons = samp_to_seqIndex[s] # .seq.replace("-","")#[ cm.mapChr(ref_sequence.id, s) ] allele = str(cons[cons_start - 1:cons_stop]).upper() if s in samp_offsets: samp_offsets[s] -= cons_start if all(a in set(('A', 'C', 'T', 'G')) for a in allele): consAlleles[s] = allele else: log.warning("dropping ambiguous consensus for %s at %s:%s-%s: %s", s, ref_sequence.id, pos, end, allele) # define genotypes and fractions iSNVs = {} # {sample : {allele : fraction, ...}, ...} iSNVs_read_depth = {} # {sample: read depth} iSNVs_n_libs = {} # {sample : {allele : n libraries > 0, ...}, ...} iSNVs_lib_bias = {} # {sample : {allele : pval, ...}, ...} for s in samplesToUse: # get all rows for this sample and merge allele counts together acounts = dict(itertools.chain.from_iterable(row['allele_counts'] for row in rows if row['sample'] == s)) nlibs = dict(itertools.chain.from_iterable(row['n_libs'].items() for row in rows if row['sample'] == s)) libbias = dict(itertools.chain.from_iterable(row['lib_bias'].items() for row in rows if row['sample'] == s)) if 'i' in acounts and 'd' in acounts: # This sample has both an insertion line and a deletion line at the same spot! # To keep the reference allele from be counted twice, once as an i and once # as a d, average the counts and get rid of one of them. acounts['i'] = int(round((acounts['i'] + acounts['d']) / 2.0, 0)) del acounts['d'] nlibs['i'] = max(nlibs['i'], nlibs['d']) libbias['i'] = max(libbias['i'], libbias['d']) if acounts and s in consAlleles: # we have iSNV data on this sample consAllele = consAlleles[s] tot_n = sum(acounts.values()) iSNVs[s] = {} # {allele : fraction, ...} iSNVs_read_depth[s] = tot_n iSNVs_n_libs[s] = {} iSNVs_lib_bias[s] = {} for orig_a, n in acounts.items(): f = float(n) / tot_n a = orig_a if a.startswith('I'): # insertion point is relative to each sample insert_point = samp_offsets[s] + 1 a = consAllele[:insert_point] + a[1:] + consAllele[insert_point:] elif a.startswith('D'): # deletion is the first consensus base, plus remaining # consensus seq with the first few positions dropped off cut_left = samp_offsets[s] + 1 cut_right = samp_offsets[s] + 1 + int(a[1:]) a = consAllele[:cut_left] + consAllele[cut_right:] elif a in ('i', 'd'): # this is vphaser's way of saying the "reference" (majority/consensus) # allele, in the face of other indel variants a = consAllele else: # this is a SNP if a not in set(('A', 'C', 'T', 'G')): raise Exception() if f > 0.5 and a != consAllele[samp_offsets[s]]: log.warning("vPhaser and assembly pipelines mismatch at " "%s:%d (%s) - consensus %s, vPhaser %s, f %.3f", ref_sequence.id, pos, s, consAllele[samp_offsets[s]], a, f) new_allele = list(consAllele) new_allele[samp_offsets[s]] = a a = ''.join(new_allele) if not (a and a == a.upper()): raise Exception() iSNVs[s][a] = f iSNVs_n_libs[s][a] = nlibs[orig_a] iSNVs_lib_bias[s][a] = libbias[orig_a] if all(len(a) == 1 for a in iSNVs[s].keys()): if consAllele not in iSNVs[s]: raise Exception( """at %s:%s (%s), consensus allele %s not among iSNV alleles %s -- other cons alleles: %s""" % ( ref_sequence.id, pos, s, consAllele, ', '.join( iSNVs[s].keys()), ', '.join( consAlleles[s]))) elif s in consAlleles: # there is no iSNV data for this sample, so substitute the consensus allele iSNVs[s] = {consAlleles[s]: 1.0} # get unique alleles list for this position, in this order: # first: reference allele, # next: consensus allele for each sample, in descending order of # number of samples with that consensus, # finally: all other alleles, sorted first by number of containing samples, # then by intrahost read frequency summed over the population, # then by the allele string itself. alleles_cons = [alleleItem for alleleItem, n in sorted(misc.histogram(consAlleles.values()).items(), key=lambda x: x[1], reverse=True) if alleleItem != refAllele] alleles_isnv = list(itertools.chain.from_iterable( [iSNVs[s].items() for s in samplesToUse if s in iSNVs])) alleles_isnv2 = [] for a in set(a for a, n in alleles_isnv): counts = list(x[1] for x in alleles_isnv if x[0] == a) if len(counts) > 0 and sum(counts) > 0: # if we filtered any alleles above, make sure to omit absent alleles alleles_isnv2.append((len(counts), sum(counts), a)) else: log.info("dropped allele %s at position %s:%s", a, ref_sequence.id, pos) alleles_isnv = list(allele for n_samples, n_reads, allele in reversed(sorted(alleles_isnv2))) alleles = list(misc.unique([refAllele] + alleles_cons + alleles_isnv)) # map alleles from strings to numeric indexes if not alleles: raise Exception() elif len(alleles) == 1: # if we filtered any alleles above, skip this position if there is no variation left here log.info("dropped position %s:%s due to lack of variation", ref_sequence.id, pos) continue alleleMap = dict((a, i) for i, a in enumerate(alleles)) # GT col emitted below genos = [str(alleleMap.get(consAlleles.get(s), '.')) for s in samplesToUse] # AF col emitted below, everything excluding the ref allele (one float per non-ref allele) freqs = [(s in iSNVs) and ','.join(map(str, [iSNVs[s].get(a, 0.0) for a in alleles[1:]])) or '.' for s in samplesToUse] # DP col emitted below depths = [str(iSNVs_read_depth.get(s, '.')) for s in samplesToUse] # NL col, everything including the ref allele (one int per allele) nlibs = [(s in iSNVs_n_libs) and ','.join([str(iSNVs_n_libs[s].get(a, 0)) for a in alleles]) or '.' for s in samplesToUse] # LB col, everything including the ref allele (one float per allele) pvals = [(s in iSNVs_lib_bias) and ','.join([str(iSNVs_lib_bias[s].get(a, '.')) for a in alleles]) or '.' for s in samplesToUse] # prepare output row and write to file c = ref_sequence.id if parse_accession: c = genbank.parse_accession_str(c) if strip_chr_version: c = strip_accession_version(c) out = [c, pos, '.', alleles[0], ','.join(alleles[1:]), '.', '.', '.', 'GT:AF:DP:NL:LB'] out = out + list(map(':'.join, zip(genos, freqs, depths, nlibs, pvals))) outf.write('\t'.join(map(str, out)) + '\n') # compress output if requested if outVcf.endswith('.vcf.gz'): pysam.tabix_compress(tmpVcf, outVcf, force=True) pysam.tabix_index(outVcf, force=True, preset='vcf') os.unlink(tmpVcf) def parser_merge_to_vcf(parser=argparse.ArgumentParser()): parser.add_argument("refFasta", help="""The target reference genome. outVcf will use these chromosome names, coordinate spaces, and reference alleles""") parser.add_argument("outVcf", help="Output VCF file containing all variants") parser.add_argument("--samples", nargs='*', help="A list of sample names") parser.add_argument("--isnvs", nargs='+', required=True, help="""A list of file names from the output of vphaser_one_sample These must be in the SAME ORDER as samples.""") parser.add_argument("--alignments", nargs='+', required=True, help="""a list of fasta files containing multialignment of input assemblies, with one file per chromosome/segment. Each alignment file will contain a line for each sample, as well as the reference genome to which they were aligned.""") parser.add_argument("--strip_chr_version", default=False, action="store_true", dest="strip_chr_version", help="""If set, strip any trailing version numbers from the chromosome names. If the chromosome name ends with a period followed by integers, this is interepreted as a version number to be removed. This is because Genbank accession numbers are often used by SnpEff databases downstream, but without the corresponding version number. Default is false (leave chromosome names untouched).""") parser.add_argument("--naive_filter", default=False, action="store_true", dest="naive_filter", help="""If set, keep only the alleles that have at least two independent libraries of support and allele freq > 0.005. Default is false (do not filter at this stage).""") parser.add_argument("--parse_accession", default=False, action="store_true", dest="parse_accession", help="""If set, parse only the accession for the chromosome name. Helpful if snpEff has to create its own database""") cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, merge_to_vcf, split_args=True) return parser __commands__.append(('merge_to_vcf', parser_merge_to_vcf)) # =================================================== def compute_Fws(vcfrow): format_col = vcfrow[8].split(':') if 'AF' not in format_col: return None af_idx = format_col.index('AF') freqs = [dat.split(':') for dat in vcfrow[9:]] freqs = [float(dat[af_idx].split(',')[0]) for dat in freqs if len(dat) > af_idx and dat[af_idx] != '.' and dat[0] != '.' and int(dat[0]) <= 1] if len(freqs) < 2: return None p_s = sum(freqs) / len(freqs) H_s = 2 * p_s * (1.0 - p_s) if H_s == 0.0: return None H_w = [2 * p * (1.0 - p) for p in freqs] H_w = sum(H_w) / len(H_w) return (H_s, 1.0 - H_w / H_s) def add_Fws_vcf(inVcf, outVcf): '''Compute the Fws statistic on iSNV data. See Manske, 2012 (Nature)''' with open(outVcf, 'wt') as outf: with file.open_or_gzopen(inVcf, 'rt') as inf: for line in inf: if line.startswith('##'): outf.write(line) elif line.startswith('#'): outf.write( '##INFO=\n') outf.write( '##INFO=\n') outf.write(line) else: row = line.strip('\n').split('\t') Fws = compute_Fws(row) if Fws is not None: row[7] = row[7] + ";PI=%s;FWS=%s" % Fws outf.write('\t'.join(row) + '\n') def parser_Fws(parser=argparse.ArgumentParser()): parser.add_argument("inVcf", help="Input VCF file") parser.add_argument("outVcf", help="Output VCF file") cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, add_Fws_vcf, split_args=True) return parser __commands__.append(('Fws', parser_Fws)) # =================== iSNV_table ================================ def parse_eff(eff_field): ''' parse the old snpEff "EFF" INFO field ''' out = {} effs = [eff.rstrip(')').replace('(', '|').split('|') for eff in eff_field.split(',')] effs = [[eff[i] for i in (0, 3, 4, 5, 6, 9, 11)] for eff in effs] effs = [eff for eff in effs if eff[5] not in ('sGP', 'ssGP') and int(eff[6]) < 2] if not len(effs) == 1: raise Exception() eff = effs[0] if eff[2]: aa = eff[2].split('/')[0] assert aa.startswith('p.') aa = aa[2:] m = re.search(r"(\d+)", aa) out['eff_aa_pos'] = int(m.group(1)) (out['eff_type'], out['eff_codon_dna'], out['eff_aa'], out[ 'eff_prot_len' ], out['eff_gene'], out['eff_protein'], _) = eff # _ is placeholder for rank return out class SnpEffException(Exception): pass def parse_ann(ann_field, alleles, transcript_blacklist=None): ''' parse the new snpEff "ANN" INFO field ''' transcript_blacklist = transcript_blacklist or set(('GP.2', 'GP.3')) # only work on alt alleles alleles = alleles[1:] effs = [eff.split('|') for eff in ann_field.split(',')] effs = [(eff[0]+"-"+eff[6], dict((k, eff[i]) for k, i in (('eff_type', 1), ('eff_gene', 3), ('eff_protein', 6), ( 'eff_codon_dna', 9), ('eff_aa', 10), ('eff_aa_pos', 13), ('eff_prot_len', 13)))) for eff in effs if eff[6] not in transcript_blacklist] effs_dict = dict(effs) # effs_dict contains key,val pairs where key is BOTH the alt allele plus each transcript being annotated effs_alleles = [ k[:k.index("-")] for k in effs_dict ] # effs_alleles is a non-unique list of all alt alleles to keep track of how many ANNs were processed if not effs: return {} if len(effs) != len(effs_alleles): # raises an exception iff an alt allele has more than one annotation for the same transcript; does not error with overlapping transcripts being annotated raise SnpEffException("ANN field has non-unique alleles") for a in alleles: if a not in effs_alleles: # raises an exception iff an alt allele is not found in the ANN field raise SnpEffException("ANN field is missing ALT allele: " + a) if len(set(effs_alleles)) != len(set(alleles)): # raises an exception if ANN field has different number of unique alleles than alt alleles raise SnpEffException("ANN field has %s entries, but ALT field has %s unique alleles: %s" % ( len(effs), len(set(alleles)), ','.join(alleles))) out = {} for k in ('eff_type', 'eff_codon_dna', 'eff_aa', 'eff_aa_pos', 'eff_prot_len', 'eff_gene', 'eff_protein'): a_out = [] for a in effs_dict: v = effs_dict[a][k] if k == 'eff_codon_dna' and v.startswith('c.'): v = v[2:] elif k == 'eff_aa' and v.startswith('p.'): v = v[2:] elif k == 'eff_aa_pos' and '/' in v: v = v.split('/')[0] elif k == 'eff_prot_len' and '/' in v: v = v.split('/')[1] elif k == 'eff_protein' and v == 'GP.1': v = 'Glycoprotein' if v: a_out.append(v) out[k] = ','.join(misc.unique(a_out)) return out def iSNV_table(vcf_iter): for row in vcf_iter: info = dict(kv.split('=') for kv in row['INFO'].split(';') if kv and kv != '.') samples = [ k for k in row.keys() if k not in set( ('CHROM', 'POS', 'ID', 'REF', 'ALT', 'QUAL', 'FILTER', 'INFO', 'FORMAT')) ] # compute Hs: heterozygosity in population based on consensus genotypes alone genos = [row[s].split(':')[0] for s in samples] genos = misc.histogram(int(gt) for gt in genos if gt != '.') n = sum(genos.values()) Hs = 1.0 - sum(k * k / float(n * n) for k in genos.values()) try: for s in samples: f = row[s].split(':')[1] if f and f != '.': freqs = list(map(float, f.split(','))) f = sum(freqs) Hw = 1.0 - sum(p * p for p in [1.0 - f] + freqs) out = { 'chr': row['CHROM'], 'pos': row['POS'], 'alleles': "%s,%s" % (row['REF'], row['ALT']), 'sample': s, 'iSNV_freq': f, 'Hw': Hw, 'Hs': Hs } if 'EFF' in info: for k, v in parse_eff(info['EFF']).items(): out[k] = v if 'ANN' in info: for k, v in parse_ann(info['ANN'], alleles=out['alleles'].split(',')).items(): out[k] = v if 'PI' in info: out['Hs_snp'] = info['PI'] if 'FWS' in info: out['Fws_snp'] = info['FWS'] yield out except: log.error("VCF parsing error at %s:%s", row['CHROM'], row['POS']) raise def parser_iSNV_table(parser=argparse.ArgumentParser()): parser.add_argument("inVcf", help="Input VCF file") parser.add_argument("outFile", help="Output text file") cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, main_iSNV_table) return parser def main_iSNV_table(args): '''Convert VCF iSNV data to tabular text''' header = ['chr', 'pos', 'sample', 'patient', 'time', 'alleles', 'iSNV_freq', 'Hw', 'Hs', 'eff_type', 'eff_codon_dna', 'eff_aa', 'eff_aa_pos', 'eff_prot_len', 'eff_gene', 'eff_protein'] with file.open_or_gzopen(args.outFile, 'wt') as outf: outf.write('\t'.join(header) + '\n') for row in iSNV_table(file.read_tabfile_dict(args.inVcf)): sample_parts = row['sample'].split('.') row['patient'] = sample_parts[0] if len(sample_parts) > 1: row['time'] = sample_parts[1] outf.write('\t'.join(map(str, [row.get(h, '') for h in header])) + '\n') return 0 __commands__.append(('iSNV_table', parser_iSNV_table)) # =================================================== def iSNP_per_patient(table, agg_fun=median): data = sorted(table, key=lambda row: (int(row['pos']), row['patient'])) data = itertools.groupby(data, lambda row: (int(row['pos']), row['patient'])) for _, rows in data: rows = list(rows) row = rows[0] if set(r['time'] for r in rows if r.get('time')): f = agg_fun(list(float(r['iSNV_freq']) for r in rows)) row['iSNV_freq'] = f row['Hw'] = 2 * f * (1.0 - f) row['sample'] = row['patient'] else: assert len(rows) == 1, "error, found multiple rows for %s:%s" % (row['pos'], row['patient']) yield row def parser_iSNP_per_patient(parser=argparse.ArgumentParser()): parser.add_argument("inFile", help="Input text file") parser.add_argument("outFile", help="Output text file") cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, main_iSNP_per_patient) return parser def main_iSNP_per_patient(args): '''Aggregate tabular iSNP data per patient x position (all time points averaged)''' header = ['pos', 'patient', 'alleles', 'iSNV_freq', 'Hw', 'eff_type', 'eff_codon_dna', 'eff_aa', 'eff_aa_pos', 'eff_prot_len', 'eff_gene', 'eff_protein'] with open(args.outFile, 'wt') as outf: outf.write('\t'.join(header) + '\n') for row in iSNP_per_patient(file.read_tabfile_dict(args.inFile)): outf.write('\t'.join(map(str, [row.get(h, '') for h in header])) + '\n') return 0 __commands__.append(('iSNP_per_patient', parser_iSNP_per_patient)) # =================================================== # ===============[ Utility functions ]================ def sampleIDMatch(inputString): """ Given a sample name in the form of [sample] or [sample]-#, return only [sample] """ idRegex = re.compile(r"(.*?)(?:-\d+)?$") m = idRegex.match(inputString) if m: return m.group(1) else: raise LookupError(r"The ID was not of the form (.*?)(?:-\d+|$)+, ex. 5985-0") def full_parser(): return cmd.make_parser(__commands__, __doc__) def main(): cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/kmer_utils.py ================================================ #!/usr/bin/env python3 """Commands for working with sets of kmers""" from __future__ import print_function __author__ = "ilya@broadinstitute.org" __commands__ = [] import argparse import logging import functools from .core import cmd from .core import file from .core import misc from . import core from .core import picard from .core import samtools from .classify import kmc log = logging.getLogger(__name__) # pylint: disable=invalid-name # ================================= def build_kmer_db(seq_files, kmer_db, kmer_size=kmc.DEFAULT_KMER_SIZE, min_occs=1, max_occs=misc.MAX_INT32, counter_cap=kmc.DEFAULT_COUNTER_CAP, single_strand=False, mem_limit_gb=8, mem_limit_laxness=0, threads=None): """Build a database of kmers occurring in given sequences.""" kmc.KmcTool().build_kmer_db(**locals()) def parser_build_kmer_db(parser=argparse.ArgumentParser()): """Create parser for build_kmer_db""" parser.add_argument('seq_files', nargs='+', help='Files from which to extract kmers (fasta/fastq/bam, fasta/fastq may be .gz or .bz2)') parser.add_argument('kmer_db', help='kmer database (with or without .kmc_pre/.kmc_suf suffix)') parser.add_argument('--kmerSize', '-k', dest='kmer_size', type=int, default=kmc.DEFAULT_KMER_SIZE, help='kmer size') parser.add_argument('--minOccs', '-ci', dest='min_occs', type=int, default=1, help='drop kmers with fewer than this many occurrences') parser.add_argument('--maxOccs', '-cx', dest='max_occs', type=int, default=misc.MAX_INT32, help='drop kmers with more than this many occurrences') parser.add_argument('--counterCap', '-cs', dest='counter_cap', type=int, default=kmc.DEFAULT_COUNTER_CAP, help='cap kmer counts at this value') parser.add_argument('--singleStrand', '-b', dest='single_strand', default=False, action='store_true', help='do not add kmers from reverse complements of input sequences') parser.add_argument('--memLimitGb', dest='mem_limit_gb', default=8, type=int, help='Max memory to use, in GB') parser.add_argument('--memLimitLaxness', dest='mem_limit_laxness', default=0, type=int, choices=(0, 1, 2), help='How strict is --memLimitGb? 0=strict, 1=lax, 2=even more lax') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, build_kmer_db, split_args=True) return parser __commands__.append(('build_kmer_db', parser_build_kmer_db)) # ========================= def dump_kmer_counts(kmer_db, out_kmers, min_occs=1, max_occs=misc.MAX_INT32, threads=None): """Dump kmers and their counts from kmer database to a text file""" kmc.KmcTool().dump_kmer_counts(**locals()) def parser_dump_kmer_counts(parser=argparse.ArgumentParser()): """Create parser for dump_kmer_counts""" parser.add_argument('kmer_db', help='kmer database (with or without .kmc_pre/.kmc_suf suffix)') parser.add_argument('out_kmers', help='text file to which to write the kmers') parser.add_argument('--minOccs', '-ci', dest='min_occs', type=int, default=1, help='drop kmers with fewer than this many occurrences') parser.add_argument('--maxOccs', '-cx', dest='max_occs', type=int, default=misc.MAX_INT32, help='drop kmers with more than this many occurrences') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, dump_kmer_counts, split_args=True) return parser __commands__.append(('dump_kmer_counts', parser_dump_kmer_counts)) # ========================= def filter_reads(kmer_db, in_reads, out_reads, db_min_occs=1, db_max_occs=misc.MAX_INT32, read_min_occs=0, read_max_occs=misc.MAX_INT32, read_min_occs_frac=0.0, read_max_occs_frac=1.0, hard_mask=False, threads=None): """Filter reads based on their kmer contents. Can also be used to filter contigs or reference sequences, but we'll refer to filtering of reads in the documentation. Note that "occurrence of a kmer" means "occurrence of the kmer or its reverse complement" if kmer_db was built with single_strand==False. Inputs: kmer_db: the kmc kmer database in_reads: the reads to filter. can be a .fasta or .fastq or .bam; fasta or fastq can be compressed with gzip or bzip2. If a .bam, a read pair is kept if either mate passes the filter. Outputs: out_reads: file to which filtered reads are written. type is determined from extension, same types as above are supported. Params: db_min_occs: only consider database kmers with at least this count db_max_occs: only consider database kmers with at most this count read_min_occs: only keep reads with at least this many occurrences of kmers from database. read_max_occs: only keep reads with no more than this many occurrence of kmers from the database. read_min_occs_frac: only keep reads with at least this many occurrences of kmers from database, interpreted as a fraction of read length in kmers read_max_occs_frac: only keep reads with no more than this many occurrence of kmers from the database. interpreted as a fraction of read length in kmers. (Note: minimal read kmer content can be given as absolute counts or fraction of read length, but not both). hard_mask: if True, in the output reads, kmers not passing the filter are replaced by Ns threads: use this many threads """ kmc.KmcTool().filter_reads(**locals()) def parser_filter_reads(parser=argparse.ArgumentParser()): """Create parser for filter_reads""" parser.add_argument('kmer_db', help='kmer database (with or without .kmc_pre/.kmc_suf suffix)') parser.add_argument('in_reads', help='input reads, as fasta/fastq/bam') parser.add_argument('out_reads', help='output reads') parser.add_argument('--dbMinOccs', dest='db_min_occs', type=int, default=1, help='ignore datatbase kmers with count below this') parser.add_argument('--dbMaxOccs', dest='db_max_occs', type=int, default=misc.MAX_INT32, help='ignore datatbase kmers with count above this') parser.add_argument('--readMinOccs', dest='read_min_occs', type=int, default=0, help='filter out reads with fewer than this many db kmers') parser.add_argument('--readMaxOccs', dest='read_max_occs', type=int, default=misc.MAX_INT32, help='filter out reads with more than this many db kmers') parser.add_argument('--readMinOccsFrac', dest='read_min_occs_frac', type=float, default=0.0, help='filter out reads with fewer than this many db kmers, ' 'interpreted as fraction of read length') parser.add_argument('--readMaxOccsFrac', dest='read_max_occs_frac', type=float, default=1.0, help='filter out reads with more than this many db kmers, ' 'interpreted as fraction of read length') parser.add_argument('--hardMask', dest='hard_mask', default=False, action='store_true', help='In the output reads, mask the invalid kmers') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, filter_reads, split_args=True) return parser __commands__.append(('filter_reads', parser_filter_reads)) # ========================= def kmers_binary_op(op, kmer_db1, kmer_db2, kmer_db_out, result_min_occs=1, result_max_occs=misc.MAX_INT32, result_counter_cap=kmc.DEFAULT_COUNTER_CAP, threads=None): # pylint: disable=invalid-name """Perform a simple binary operation on kmer sets.""" kmc.KmcTool().kmers_binary_op(**locals()) def parser_kmers_binary_op(parser=argparse.ArgumentParser()): """Create parser forkmers_binary_op""" parser.add_argument('op', choices=('intersect', 'union', 'kmers_subtract', 'counters_subtract'), help='binary operation to perform') parser.add_argument('kmer_db1', help='first kmer set') parser.add_argument('kmer_db2', help='second kmer set') parser.add_argument('kmer_db_out', help='output kmer db') parser.add_argument('--resultMinOccs', dest='result_min_occs', type=int, default=1, help='from the result drop kmers with counts below this') parser.add_argument('--resultMaxOccs', dest='result_max_occs', type=int, default=misc.MAX_INT32, help='from the result drop kmers with counts above this') parser.add_argument('--resultCounterCap', dest='result_counter_cap', type=int, default=kmc.DEFAULT_COUNTER_CAP, help='cap output counters at this value') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kmers_binary_op, split_args=True) return parser __commands__.append(('kmers_binary_op', parser_kmers_binary_op)) # ========================= def kmers_set_counts(kmer_db_in, value, kmer_db_out, threads=None): """Copy the kmer database, setting all kmer counts in the output to the given value.""" kmc.KmcTool().set_kmer_counts(**locals()) def parser_kmers_set_counts(parser=argparse.ArgumentParser()): """Create parser for kmers_set_counts""" parser.add_argument('kmer_db_in', help='input kmer db') parser.add_argument('value', type=int, help='all kmer counts in the output will be set to this value') parser.add_argument('kmer_db_out', help='output kmer db') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kmers_set_counts, split_args=True) return parser __commands__.append(('kmers_set_counts', parser_kmers_set_counts)) # ======================== def full_parser(): """Create parser for all commands in kmers.py""" return cmd.make_parser(__commands__, __doc__) def main(): cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/metagenomics.py ================================================ #!/usr/bin/env python3 ''' This script contains a number of utilities for metagenomic analyses. ''' from __future__ import print_function from __future__ import division __author__ = "yesimon@broadinstitute.org" import argparse import collections import csv import glob import gzip import io import itertools import logging import os.path import operator import queue import re import shutil import sys import tempfile import json from Bio import SeqIO from Bio.Seq import Seq from Bio.SeqRecord import SeqRecord import anndata import numpy as np import pandas as pd import pysam from .core import cmd from .core import file from .core import misc from . import read_utils from .classify import kma from .classify import kraken2 from .classify import krona from .classify import kb from .classify.taxonomy import ( TaxIdError, TaxonomyDb, BlastRecord, blast_records, paired_query_id, blast_m8_taxids, extract_tax_id, coverage_lca, parents_to_children, maybe_compressed, rank_code ) __commands__ = [] log = logging.getLogger(__name__) def tree_level_lookup(parents, node, level_cache): '''Get the node level/depth. Args: parents: Array of node parents. node: Node to get level (root == 1). level_cache: Cache of previously found levels. Returns: (int) level of node ''' path = [] while True: level = level_cache.get(node) if level: for i, node in enumerate(reversed(path)): level_cache[node] = level + i + 1 return level + len(path) path.append(node) node = parents[node] def push_up_tree_hits(parents, hits, min_support_percent=None, min_support=None, update_assignments=False): '''Push up hits on nodes until min support is reached. Args: parents: Array of node parents. hits: Counter of hits on each node. min_support_percent: Push up hits until each node has this percent of the sum of all hits. min_support: Push up hits until each node has this number of hits. Returns: (counter) Hits mutated pushed up the tree. ''' assert min_support_percent or min_support if update_assignments: pass total_hits = sum(hits.values()) if not min_support: min_support = round(min_support_percent * 0.01 * total_hits) pq_level = queue.PriorityQueue() level_cache = {1: 1} for hit_id, num_hits in hits.items(): if num_hits < min_support: pq_level.put((-tree_level_lookup(parents, hit_id, level_cache), hit_id)) while not pq_level.empty() > 0: level, hit_id = pq_level.get() level = -level if hits[hit_id] >= min_support: continue if hit_id == 1: del hits[1] break parent_hit_id = parents[hit_id] num_hits = hits[hit_id] hits[parent_hit_id] += num_hits # Can't pop directly from hits because hit_id might not be stored in counter if hit_id in hits: del hits[hit_id] if hits[parent_hit_id] < min_support: pq_level.put((-tree_level_lookup(parents, parent_hit_id, level_cache), parent_hit_id)) return hits def file_lines(filename): if filename is not None: with open(filename) as f: for line in f: yield line def collect_children(children, original_taxids): '''Collect nodes with all children recursively.''' taxids = original_taxids while taxids: taxid = taxids.pop() yield taxid for child_taxid in children[taxid]: taxids.add(child_taxid) def collect_parents(parents, taxids): '''Collect nodes with all parents recursively.''' # The root taxid node is 1 yield 1 taxids_with_parents = set([1]) for taxid in taxids: while taxid not in taxids_with_parents: yield taxid taxids_with_parents.add(taxid) taxid = parents[taxid] def parser_subset_taxonomy(parser=argparse.ArgumentParser()): parser.add_argument( "taxDb", help="Taxonomy database directory (containing nodes.dmp, parents.dmp etc.)", ) parser.add_argument( "outputDb", help="Output taxonomy database directory", ) parser.add_argument( "--whitelistTaxids", help="List of taxids to add to taxonomy (with parents)", nargs='+', type=int ) parser.add_argument( "--whitelistTaxidFile", help="File containing taxids - one per line - to add to taxonomy with parents.", ) parser.add_argument( "--whitelistTreeTaxids", help="List of taxids to add to taxonomy (with parents and children)", nargs='+', type=int ) parser.add_argument( "--whitelistTreeTaxidFile", help="File containing taxids - one per line - to add to taxonomy with parents and children.", ) parser.add_argument( "--whitelistGiFile", help="File containing GIs - one per line - to add to taxonomy with nodes.", ) parser.add_argument( "--whitelistAccessionFile", help="File containing accessions - one per line - to add to taxonomy with nodes.", ) parser.add_argument( "--skipGi", action='store_true', help="Skip GI to taxid mapping files" ) parser.add_argument( "--skipAccession", action='store_true', help="Skip accession to taxid mapping files" ) parser.add_argument( "--skipDeadAccession", action='store_true', help="Skip dead accession to taxid mapping files" ) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, subset_taxonomy, split_args=True) return parser def subset_taxonomy(taxDb, outputDb, whitelistTaxids=None, whitelistTaxidFile=None, whitelistTreeTaxids=None, whitelistTreeTaxidFile=None, whitelistGiFile=None, whitelistAccessionFile=None, skipGi=None, skipAccession=None, skipDeadAccession=None, stripVersion=True): ''' Generate a subset of the taxonomy db files filtered by the whitelist. The whitelist taxids indicate specific taxids plus their parents to add to taxonomy while whitelistTreeTaxids indicate specific taxids plus both parents and all children taxa. Whitelist GI and accessions can only be provided in file form and the resulting gi/accession2taxid files will be filtered to only include those in the whitelist files. Finally, taxids + parents for the gis/accessions will also be included. ''' file.mkdir_p(os.path.join(outputDb, 'accession2taxid')) db = TaxonomyDb(tax_dir=taxDb, load_nodes=True) taxids = set() if whitelistTaxids is not None: taxids.update(set(whitelistTaxids)) taxids.update((int(x) for x in file_lines(whitelistTaxidFile))) tree_taxids = set() if whitelistTreeTaxids is not None: tree_taxids.update(set(whitelistTreeTaxids)) taxids.update((int(x) for x in file_lines(whitelistTreeTaxidFile))) keep_taxids = set(collect_parents(db.parents, taxids)) if tree_taxids: db.children = parents_to_children(db.parents) children_taxids = collect_children(db.children, tree_taxids) keep_taxids.update(children_taxids) # Taxids kept based on GI or Accession. Get parents afterwards to not pull in all GIs/accessions. keep_seq_taxids = set() def filter_file(path, sep='\t', taxid_column=0, gi_column=None, a2t=False, header=False): input_path = os.path.join(db.tax_dir, path) output_path = os.path.join(outputDb, path) input_path = maybe_compressed(input_path) with file.open_or_gzopen(input_path, 'rt') as f, \ file.open_or_gzopen(output_path, 'wt') as out_f: if header: out_f.write(f.readline()) # Cannot use next(f) for python2 for line in f: parts = line.split(sep) taxid = int(parts[taxid_column]) if gi_column is not None: gi = int(parts[gi_column]) if gi in gis: keep_seq_taxids.add(taxid) out_f.write(line) continue if a2t: accession = parts[accession_column_i] if stripVersion: accession = accession.split('.', 1)[0] if accession in accessions: keep_seq_taxids.add(taxid) out_f.write(line) continue if taxid in keep_taxids: out_f.write(line) if not skipGi: gis = set(int(x) for x in file_lines(whitelistGiFile)) filter_file('gi_taxid_nucl.dmp', taxid_column=1, gi_column=0) filter_file('gi_taxid_prot.dmp', taxid_column=1, gi_column=0) if not skipAccession: if stripVersion: accessions = set(x.strip().split('.', 1)[0] for x in file_lines(whitelistAccessionFile)) accession_column_i = 0 else: accessions = set(file_lines(whitelistAccessionFile)) accession_column_i = 1 acc_dir = os.path.join(db.tax_dir, 'accession2taxid') acc_paths = [] for fn in os.listdir(acc_dir): if fn.endswith('.accession2taxid') or fn.endswith('.accession2taxid.gz'): if skipDeadAccession and fn.startswith('dead_'): continue acc_paths.append(os.path.join(acc_dir, fn)) for acc_path in acc_paths: filter_file(os.path.relpath(acc_path, db.tax_dir), taxid_column=2, header=True, a2t=True) # Add in taxids found from processing GI/accession keep_seq_taxids = collect_parents(db.parents, keep_seq_taxids) keep_taxids.update(keep_seq_taxids) filter_file('nodes.dmp', sep='|') filter_file('names.dmp', sep='|') filter_file('merged.dmp') filter_file('delnodes.dmp') __commands__.append(('subset_taxonomy', parser_subset_taxonomy)) def parser_filter_taxids_to_focal_hits(parser=argparse.ArgumentParser()): parser.add_argument("taxids_tsv", help="TSV file where first column is a taxid") parser.add_argument("focal_report_tsv", help="TSV produced by taxlevel_plurality") parser.add_argument("taxdb_dir", help="Taxonomy database directory (containing nodes.dmp, parents.dmp etc.)") parser.add_argument("min_read_count", type=int, help="ignore focal_report_tsv entries below this read count") parser.add_argument("output_tsv", help="Output TSV file where first column is a taxid") cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, filter_taxids_to_focal_hits, split_args=True) return parser def filter_taxids_to_focal_hits(taxids_tsv, focal_report_tsv, taxdb_dir, min_read_count, output_tsv): ''' Generate a subset of the taxids_tsv file filtered by the focal_report_tsv. We will only emit rows from the taxids_tsv that contain taxids that are either contained within or are a child/descendant of nodes contained within the focal_report_tsv ''' # load taxonomy database structure taxdb = TaxonomyDb(tax_dir=taxdb_dir, load_nodes=True, load_gis=False) # load focal hits hits = set() with file.open_or_gzopen(focal_report_tsv, "rt") as inf: for row in csv.DictReader(inf, delimiter='\t'): if int(row['reads_excl_children']) >= min_read_count: hits.add(int(row['taxon_id'])) # filter taxids_tsv -> output_tsv with file.open_or_gzopen(taxids_tsv, "rt") as inf: with file.open_or_gzopen(output_tsv, "wt") as outf: for line in inf: taxid = int(line.rstrip('\r\n').split('\t')[0]) ancestors = taxdb.get_ordered_ancestors(taxid) if any(node in hits for node in [taxid] + ancestors): outf.write(line) __commands__.append(('filter_taxids_to_focal_hits', parser_filter_taxids_to_focal_hits)) def taxa_hits_from_tsv(f, taxid_column=2): '''Return a counter of hits from tsv.''' c = collections.Counter() for row in csv.reader(f, delimiter='\t'): tax_id = int(row[taxid_column - 1]) c[tax_id] += 1 return c def parser_kraken2(parser=argparse.ArgumentParser()): parser.add_argument('db', help='Kraken database directory.') parser.add_argument('inBams', nargs='+', help='Input unaligned reads, BAM format.') parser.add_argument('--outReports', nargs='+', help='Kraken2 summary report output file. Multiple filenames space separated.') parser.add_argument('--outReads', nargs='+', help='Kraken2 per read classification output file. Multiple filenames space separated.') parser.add_argument( '--minimum_hit_groups', default=None, type=int, help='Minimum hit groups (Kraken2 default: 2)' ) parser.add_argument( '--min_base_qual', default=None, type=int, help='Minimum base quality (default %(default)s)' ) parser.add_argument( '--confidence', default=None, type=float, help='Kraken2 confidence score threshold (default %(default)s)' ) cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_kraken2, split_args=True) return parser def main_kraken2(db, inBams, outReports=None, outReads=None, min_base_qual=None, confidence=None, minimum_hit_groups=None, threads=None): ''' Classify reads by taxon using Kraken2 ''' assert outReads or outReports, ('Either --outReads or --outReport must be specified.') kraken_tool = kraken2.Kraken2() kraken_tool.pipeline(db, inBams, out_reports=outReports, out_reads=outReads, min_base_qual=min_base_qual, confidence=confidence, minimum_hit_groups=minimum_hit_groups, num_threads=threads) __commands__.append(('kraken2', parser_kraken2)) def parser_kb(parser=argparse.ArgumentParser()): """Argument parser for the kb_python wrapper. Args: parser (_type_, optional): _description_. Defaults to argparse.ArgumentParser(). Returns: argparse.ArgumentParser: The parser with arguments added. """ parser.add_argument('in_bam', help='Input unaligned reads, BAM format.') parser.add_argument('--index', help='kb index file.') parser.add_argument('--t2g', help='Input unaligned reads, BAM format.') parser.add_argument('--kmer_len', type=int, help='k-mer size (default: 31bp)', default=31) parser.add_argument('--parity', choices=['single', 'paired'], help='Library parity (default: single)', default='single') parser.add_argument('--technology', choices=['10xv2', '10xv3', '10xv3-3prime', '10xv3-5prime', 'dropseq', 'indrop', 'celseq', 'celseq2', 'smartseq2', 'bulk'], help='Technology used to generate the data (default: bulk)', default='bulk') parser.add_argument('--h5ad', action='store_true', help='Output HDF5 file (default: False)', default=False) parser.add_argument('--loom', action='store_true', help='Output Loom file (default: False)', default=False) parser.add_argument('--protein', action='store_true', help='True if sequence contains amino acids (default: False).') parser.add_argument('--out_dir', help='Output directory (default: kb_out)', default='kb_out') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kb_python, split_args=True) return parser def kb_python(in_bam, index=None, t2g=None, kmer_len=31, parity='single', technology='bulk', h5ad=False, loom=False, protein=False, out_dir=None, threads=None): """Runs kb count on the input BAM files. Args: in_bam (list): List of input BAM files. out_dir (str): Output directory. Defaults to None. index (str): Path to the kb index file. t2g (list|str): Transcript-to-gene mapping file(s). kmer_len (int, optional): K-mer size for the alignment. Defaults to 31. parity (str, optional): Library parity (default: single). Defaults to 'single'. technology (str, optional): Sequencing technology used. Defaults to 'bulk'. h5ad (bool, optional): Whether to output HDF5 file. Defaults to False. loom (bool, optional): Whether to output Loom file. Defaults to False. protein (bool, optional): Whether the sequence contains amino acids. Defaults to False. threads (int, optional): Number of threads to use. Defaults to None. """ assert out_dir, ('Output directory must be specified.') kb_tool = kb.kb() kb_tool.classify( in_bam=in_bam, out_dir=out_dir, index_file=index, t2g_file=t2g, k=kmer_len, parity=parity, technology=technology, h5ad=h5ad, loom=loom, protein=protein, num_threads=threads ) __commands__.append(('kb', parser_kb)) def parser_kma(parser=argparse.ArgumentParser()): parser.add_argument('db', help='KMA database prefix.') parser.add_argument('inBams', nargs='+', help='Input unaligned reads, BAM format.') parser.add_argument('--outPrefixes', nargs='+', help='KMA output prefixes.') parser.add_argument('--threads', type=int, help='Number of threads.') cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_kma, split_args=True) return parser def main_kma(db, inBams, outPrefixes=None, threads=None): if outPrefixes and len(inBams) != len(outPrefixes): raise ValueError(f"Number of input BAMs ({len(inBams)}) must match number of output prefixes ({len(outPrefixes)})") kma_tool = kma.KMA() for in_bam, out_prefix in itertools.zip_longest(inBams, outPrefixes): kma_tool.classify(in_bam, db, out_prefix, num_threads=threads) __commands__.append(('kma', parser_kma)) def parser_kma_build(parser=argparse.ArgumentParser()): parser.add_argument('ref_fasta', help='Reference FASTA file.') parser.add_argument('db_prefix', help='Output database prefix.') parser.add_argument('--threads', type=int, help='Number of threads.') cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_kma_build, split_args=True) return parser def main_kma_build(ref_fasta, db_prefix, threads=None): kma_tool = kma.KMA() kma_tool.build(ref_fasta, db_prefix, num_threads=threads) __commands__.append(('kma_build', parser_kma_build)) def parser_krona(parser=argparse.ArgumentParser()): parser.add_argument('inReports', nargs='+', help='Input report file (default: tsv)') parser.add_argument('db', help='Krona taxonomy database directory.') parser.add_argument('outHtml', help='Output html report.') parser.add_argument('--sample_name', help='Title of dataset (default basename(inReport))', default=None) parser.add_argument('--queryColumn', help='Column of query id. (default %(default)s)', type=int, default=2) parser.add_argument('--taxidColumn', help='Column of taxonomy id. (default %(default)s)', type=int, default=3) parser.add_argument('--scoreColumn', help='Column of score. (default %(default)s)', type=int, default=None) parser.add_argument('--magnitudeColumn', help='Column of magnitude. (default %(default)s)', type=int, default=None) parser.add_argument('--noHits', help='Include wedge for no hits.', action='store_true') parser.add_argument('--noRank', help='Include no rank assignments.', action='store_true') parser.add_argument('--inputType', help='Handling for specialized report types.', default='tsv', choices=['tsv', 'kraken2']) cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, main_krona, split_args=True) return parser def main_krona(inReports, db, outHtml, queryColumn=None, taxidColumn=None, scoreColumn=None, magnitudeColumn=None, noHits=None, noRank=None, inputType=None, sample_name=None): ''' Create an interactive HTML report from a tabular metagenomic report ''' krona_tool = krona.Krona() if sample_name is not None: dataset_names = list(sample_name for fn in inReports) else: dataset_names = list(os.path.basename(fn) for fn in inReports) with file.tmp_dir() as tmp_dir: to_import = [] if inputType == 'tsv': for inReport in inReports: if inReport.endswith('.gz'): tmp_tsv = file.mkstempfname('.tsv', directory=tmp_dir) with gzip.open(inReport, 'rb') as f_in: with open(tmp_tsv, 'w') as f_out: shutil.copyfileobj(f_in, f_out) to_import.append(tmp_tsv) else: to_import.append(inReport) elif inputType == 'kraken2': queryColumn=None taxidColumn=5 scoreColumn=None magnitudeColumn=3 to_import = inReports else: raise NotImplementedError # run krona krona_tool.import_taxonomy( db, list(','.join(pair) for pair in zip(to_import, dataset_names)), outHtml, query_column=queryColumn, taxid_column=taxidColumn, score_column=scoreColumn, magnitude_column=magnitudeColumn, no_hits=noHits, no_rank=noRank ) __commands__.append(('krona', parser_krona)) def parser_metagenomic_report_merge(parser=argparse.ArgumentParser()): parser.add_argument( "metagenomic_reports", help="Input metagenomic reports with the query ID and taxon ID in the 2nd and 3rd columns (Kraken format)", nargs='+', type=argparse.FileType('r') ) parser.add_argument( "out_krona_input", help="Output metagenomic report suitable for Krona input." ) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, metagenomic_report_merge, split_args=True) return parser def metagenomic_report_merge(metagenomic_reports, out_krona_input): ''' Merge multiple metagenomic reports into a single metagenomic report suitable for Krona input. ''' with file.open_or_gzopen(out_krona_input, "wt") as outf: output_writer = csv.writer(outf, delimiter='\t', lineterminator='\n') for metag_file in metagenomic_reports: with file.open_or_gzopen(metag_file.name, "rt") as inf: file_reader = csv.reader(inf, delimiter='\t') for row in file_reader: output_writer.writerow([f for f in row]) __commands__.append(('report_merge', parser_metagenomic_report_merge)) def parser_filter_bam_to_taxa(parser=argparse.ArgumentParser()): parser.add_argument('in_bam', help='Input bam file.') parser.add_argument('read_IDs_to_tax_IDs', help='TSV file mapping read IDs to taxIDs, Kraken-format by default. Assumes bijective mapping of read ID to tax ID.') parser.add_argument('out_bam', help='Output bam file, filtered to the taxa specified') parser.add_argument('nodes_dmp', help='nodes.dmp file from ftp://ftp.ncbi.nlm.nih.gov/pub/taxonomy/') parser.add_argument('names_dmp', help='names.dmp file from ftp://ftp.ncbi.nlm.nih.gov/pub/taxonomy/') parser.add_argument('--exclude', action='store_true', dest="exclude", help='Switch filtration to remove all reads falling under matching taxa (and keep all non-matching). Default is the inverse: keep all reads falling under matching taxa (and remove all non-matching).') parser.add_argument('--taxNames', nargs="+", dest="tax_names", help='The taxonomic names to include. More than one can be specified. Mapped to Tax IDs by lowercase exact match only. Ex. "Viruses" This is in addition to any taxonomic IDs provided.') parser.add_argument('--taxIDs', nargs="+", type=int, dest="tax_ids", help='The NCBI taxonomy IDs to include. More than one can be specified. This is in addition to any taxonomic names provided.') parser.add_argument('--without-children', action='store_true', dest="omit_children", help='Omit reads classified more specifically than each taxon specified (without this a taxon and its children are included).') parser.add_argument('--read_id_col', type=int, dest="read_id_col", help='The (zero-indexed) number of the column in read_IDs_to_tax_IDs containing read IDs. (default: %(default)s)', default=1) parser.add_argument('--tax_id_col', type=int, dest="tax_id_col", help='The (zero-indexed) number of the column in read_IDs_to_tax_IDs containing Taxonomy IDs. (default: %(default)s)', default=2) parser.add_argument('--out_count', help='Write a file with the number of reads matching the specified taxa.') cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, filter_bam_to_taxa, split_args=True) return parser def filter_bam_to_taxa(in_bam, read_IDs_to_tax_IDs, out_bam, nodes_dmp, names_dmp, exclude=False, tax_names=None, tax_ids=None, omit_children=False, read_id_col=1, tax_id_col=2, out_count=None): """ Filter an (already classified) input bam file to only include reads that have been mapped to specified taxonomic IDs or scientific names. This requires a classification file, as produced by tools such as Kraken, as well as the NCBI taxonomy database. """ tax_ids = set(tax_ids) if tax_ids else set() tax_names = tax_names or [] # use TaxonomyDb() class above and tree traversal/collection functions above db = TaxonomyDb(nodes_path=nodes_dmp, names_path=names_dmp, load_nodes=True, load_names=True) db.children = parents_to_children(db.parents) paired_read_base_pattern = re.compile(r'^(.*?)(/[1-2])?$') # get taxIDs for each of the heading values specifed (exact matches only) tax_ids_from_headings = set() for heading in tax_names: # map heading to taxID name_pattern = re.compile(heading, flags=re.IGNORECASE) for row_tax_id, names in db.names.items(): found_heading = False if type(names) != list: # if taxID->str, create list (of names) with cardinality=1 names = [names] for name in names: if name_pattern.match(name): tax_ids_from_headings.add(row_tax_id) log.debug("Found taxName match: %s -> %s" % (row_tax_id,name)) found_heading = True break if found_heading: break tax_ids |= tax_ids_from_headings log.debug("tax_ids %s", tax_ids) log.debug("tax_names %s", tax_names) # extend tax_ids to include IDs of children tax_ids_to_include = set() for tax_id in tax_ids: tax_ids_to_include.add(tax_id) if not omit_children: child_ids = collect_children(db.children, set([tax_id])) tax_ids_to_include |= set(child_ids) tax_ids_to_include = frozenset(tax_ids_to_include) # frozenset membership check slightly faster log.info("matching against {} taxa".format(len(tax_ids_to_include))) def _matching_read_ids(): """Generator that yields read IDs matching the specified taxa.""" for row in file.read_tabfile(read_IDs_to_tax_IDs): assert tax_id_col=count_threshold: sample_summary[currently_being_processed][row["sci_name"]] = Abundance(float(row["pct_of_reads"]), int(row["num_reads"]),row.get("kmers",None),row.get("dup",None),row.get("cov",None)) for k,taxa in sample_summary.items(): sample_summary[k] = collections.OrderedDict(sorted(taxa.items(), key=lambda item: (item[1][1]) , reverse=True)[:top_n_entries]) if len(list(sample_summary[k].items()))>0: log.info("{f}: most abundant among {heading} at the {level} level: " "\"{name}\" with {reads} reads ({percent:.2%} of total); " "included since >{threshold} read{plural}".format( f=f, heading=k, level=taxlevel_focus, name=list(sample_summary[k].items())[0][0], reads=list(sample_summary[k].items())[0][1].count, percent=list(sample_summary[k].items())[0][1].percent/100.0, threshold=count_threshold, plural="s" if count_threshold>1 else "" ) ) if include_root: # include root-level bins (root, unclassified) in the returned data for k,taxa in sample_root_summary.items(): assert (k not in sample_summary), "{k} already in sample summary".format(k=k) sample_summary[k] = taxa samples[sample_name] = sample_summary if json_out != None: json_summary = json.dumps(samples, sort_keys=True, indent=4, separators=(',', ': ')) json_out.write(json_summary) json_out.close() if csv_out != None: # if we're writing out at the same level as the query header # write out the fractions and counts if same_level or no_hist: fieldnames = set() for sample, taxa in samples.items(): for heading,taxon in taxa.items(): if len(taxon): for k in taxon.keys(): fieldnames |= set([k+"-pt",k+"-ct"]) heading_columns = ["sample"] if include_root: root_fields = ["root-pt","root-ct","unclassified-pt","unclassified-ct"] fieldnames -= set(root_fields) heading_columns += root_fields writer = csv.DictWriter(csv_out, restval=0 if zero_fill else '', fieldnames=heading_columns+sorted(list(fieldnames))) writer.writeheader() for sample, taxa in samples.items(): sample_dict = {} sample_dict["sample"] = sample for heading,taxon in taxa.items(): for entry in taxon.keys(): sample_dict[entry+"-pt"] = taxon[entry].percent sample_dict[entry+"-ct"] = taxon[entry].count writer.writerow(sample_dict) csv_out.close() # otherwise write out a histogram else: count = 0 summary_counts = collections.defaultdict(dict) for sample, totals in samples.items(): for heading,taxa in totals.items(): for taxon in taxa.keys(): if taxon not in summary_counts[heading].keys(): summary_counts[heading][taxon] = 1 else: summary_counts[heading][taxon] += 1 for k,taxa in summary_counts.items(): summary_counts[k] = collections.OrderedDict(sorted(taxa.items(), key=lambda item: (item[1]) , reverse=True)) fieldnames = ["heading","taxon","num_samples"] writer = csv.DictWriter(csv_out, restval=0 if zero_fill else '', fieldnames=fieldnames) writer.writeheader() for heading,taxa_counts in summary_counts.items(): writer.writerows([{"heading":heading,"taxon":taxon,"num_samples":count} for taxon,count in taxa_counts.items()]) csv_out.close() __commands__.append(('taxlevel_summary', parser_kraken_taxlevel_summary)) def parser_kraken_taxlevel_plurality(parser=argparse.ArgumentParser()): parser.add_argument('summary_file', help='input Kraken-format summary text file with tab-delimited taxonomic levels.') parser.add_argument('tax_heading', help='The taxonomic heading to analyze.') parser.add_argument('out_report', help='tab-delimited output file.') parser.add_argument('--min_reads', type=int, dest="min_reads", help='Only include hits with more than min_reads (default: %(default)s)', default=1) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, taxlevel_plurality, split_args=True) return parser def taxlevel_plurality(summary_file, tax_heading, out_report, min_reads): """ Identifies the most abundant taxon (of any rank) contributing to a node of interest in the taxonomic tree. It is intended to highlight the primary contributor of taxonomic signal within a taxonomic category of interest, for example, the most abundant virus among all viruses. """ keeper_rows = [] with file.open_or_gzopen(summary_file, 'rt') as inf: report_type=None should_process = False indent_of_selection = -1 def indent_len(in_string): return len(in_string)-len(in_string.lstrip()) for lineno, line in enumerate(inf): if len(line.rstrip('\r\n').strip()) == 0 or ( report_type != None and line.startswith("#") or line.startswith("%")): continue if not report_type and "KrakenUniq" in line: report_type="krakenuniq" continue elif not report_type: report_type="kraken" csv.register_dialect('kraken_report', quoting=csv.QUOTE_MINIMAL, delimiter="\t") if report_type == "kraken": fieldnames = [ "pct_of_total", "reads_cumulative", "reads_excl_children", "taxon_rank", "taxon_id", "taxon_sci_name" ] elif report_type == "krakenuniq": fieldnames = [ "pct_of_total", "reads_cumulative", "reads_excl_children", "uniq_kmers", "kmer_dups", "cov_of_clade_kmers", "taxon_id", "taxon_rank", "taxon_sci_name" ] else: continue #never reached since we fall back to kraken above row = next(csv.DictReader([line.strip().rstrip('\n')], fieldnames=fieldnames, dialect="kraken_report")) try: indent_of_line = indent_len(row["taxon_sci_name"]) except AttributeError as e: log.warning("Report type: '{}'".format(report_type)) log.warning("Issue with line {}: '{}'".format(lineno,line.strip().rstrip('\n'))) log.warning("From file: {}".format(f)) # remove leading/trailing whitespace from each item row = { k:v.strip() for k, v in row.items()} if indent_of_line <= indent_of_selection: should_process = False indent_of_selection=-1 if indent_of_selection == -1: if row["taxon_sci_name"].lower() == tax_heading.lower(): should_process = True indent_of_selection = indent_of_line if should_process: keeper_rows.append(row) # find the top hits within the focal taxon (if any) out = [] if not keeper_rows: # we didn't find anything under the tax_heading of interest out.append({'order_within_focal':0, 'focal_taxon_name':tax_heading, 'focal_taxon_count':0, 'pct_of_focal':0.0, 'pct_of_total':0.0, 'reads_cumulative':0, 'reads_excl_children':0, 'taxon_rank':'', 'taxon_id':'', 'taxon_sci_name':''}) else: # find the most abundant taxon classified underneath (but not including) the tax_heading assert keeper_rows[0]["taxon_sci_name"].lower() == tax_heading.lower() keepers_sorted = enumerate(sorted(keeper_rows[1:], key=lambda row:int(row["reads_excl_children"]), reverse=True)) for i, hit in keepers_sorted: outrow = { 'order_within_focal': i+1, 'focal_taxon_name':keeper_rows[0]["taxon_sci_name"], 'focal_taxon_count':keeper_rows[0]["reads_cumulative"], 'pct_of_focal': 100.0 * float(hit["reads_excl_children"]) / float(keeper_rows[0]["reads_cumulative"])} for k in ("pct_of_total", "reads_cumulative", "reads_excl_children", "taxon_rank", "taxon_id", "taxon_sci_name"): outrow[k] = hit[k] if int(outrow['reads_excl_children']) >= min_reads: out.append(outrow) # write outputs with file.open_or_gzopen(out_report, 'wt') as outf: header = ('focal_taxon_name', 'focal_taxon_count', 'order_within_focal', 'pct_of_focal', 'pct_of_total', 'reads_cumulative', 'reads_excl_children', 'taxon_rank', 'taxon_id', 'taxon_sci_name') writer = csv.DictWriter(outf, header, delimiter='\t', dialect=csv.unix_dialect, quoting=csv.QUOTE_MINIMAL) writer.writeheader() writer.writerows(out) __commands__.append(('taxlevel_plurality', parser_kraken_taxlevel_plurality)) def parser_kb_extract(parser=argparse.ArgumentParser()): """Argument parser for the kb_python extract command. Args: parser (argparse.ArgumentParser): Argument parser instance. Defaults to argparse.ArgumentParser(). Returns: argparse.ArgumentParser: The parser with arguments added. """ parser.add_argument('in_bam', help='Input unaligned reads, BAM format.') parser.add_argument('--index', help='kb index file.') parser.add_argument('--t2g', help='Transcript to gene mapping file.') parser.add_argument('--out_dir', dest='out_dir', help='Output directory (default: kb_out)', default='kb_out') parser.add_argument('--protein', action='store_true', help='True if sequence contains amino acids (default: False).') parser.add_argument('--targets', help='Comma-separated list of target sequences to extract from input sequences.', default=None) parser.add_argument('--h5ad', help='Path to the output h5ad file. Can pull IDs to extract from this file.', default=None) parser.add_argument('--threshold', type=int, help='Minimum read count threshold for a target to be extracted (only used when extractin IDs from h5ad; default: %(default)s)', default=1) cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kb_extract, split_args=True) return parser def kb_extract(in_bam, index, t2g, targets, protein=False, out_dir=None, h5ad=None, threads=None, threshold=None): """Runs kb extract on the input BAM file. Args: in_bam (str): Input BAM file. index (str): Path to the kb index file. t2g (str): Path to the transcript-to-gene mapping file. targets (str): Comma-separated list of target sequences to extract. protein (bool): True if sequence contains amino acids. Defaults to False. out_dir (str): Output directory. Defaults to None. h5ad (str): Path to the output h5ad file. Can pull IDs to extract from this file. Defaults to None. threshold (int, optional): Minimum read count threshold for a target to be extracted. Defaults to 1. threads (int, optional): Number of threads to use. Defaults to None. """ assert out_dir, ('Output directory must be specified.') kb_tool = kb.kb() target_ids = targets.split(',') if targets else [] if not target_ids or len(target_ids) == 0: # TODO: This extraction method expects only to have a single row h5ad (i.e. 1 sample). This should be handled more robustly. log.warning('No targets specified for extraction. Trying to extract IDs from h5ad.') target_ids = kb_tool.extract_hit_ids_from_h5ad(h5ad, threshold=threshold) log.info("Target IDs extracted from h5ad: {}".format(target_ids)) if len(target_ids) == 0: raise ValueError('No targets specified for extraction and no IDs found in h5ad.') kb_tool.extract( in_bam=in_bam, index_file=index, target_ids=target_ids, out_dir=out_dir, t2g_file=t2g, protein=protein, num_threads=threads ) __commands__.append(('kb_extract', parser_kb_extract)) def parser_kb_top_taxa(parser=argparse.ArgumentParser()): parser.add_argument('counts_tar', help='Input kb count tarball (tar.zst format).') parser.add_argument('--id-to-tax-map', dest='id_to_tax_map', help='ID to taxonomy mapping file (CSV format).') parser.add_argument('--target-taxon', dest='target_taxon', default='Viruses', help='Target taxonomic category to analyze (default: Viruses).') parser.add_argument('out_report', help='Tab-delimited output file.') cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kb_top_taxa, split_args=True) return parser def kb_top_taxa(counts_tar, out_report, id_to_tax_map=None, target_taxon='Viruses'): """Identifies the most abundant taxon (of any rank) contributing to a taxa node of interest in kb count output. It is intended to highlight the primary contributor of taxonomic signal within a taxonomic category of interest, for example, the most abundant virus among all viruses. Args: counts_tar (str): Path to the input kb count tarball (tar.zst format). out_report (str): Path to the output report file. id_to_tax_map (str, optional): Path to the ID to taxonomy mapping file (CSV format). target_taxon (str): The taxonomic category to analyze (default: 'Viruses'). """ kb_tool = kb.kb() # Extract and read h5ad file from tarball with file.tmp_dir() as tmp_dir: file.extract_tarball(counts_tar, tmp_dir) h5ad_files = glob.glob(os.path.join(tmp_dir, "counts_unfiltered", '*.h5ad')) assert len(h5ad_files) == 1, "Expected exactly one .h5ad file in the counts tarball, found {}".format(len(h5ad_files)) h5ad_file = h5ad_files[0] # Use kb helper to parse h5ad file gene_counts = kb_tool.parse_h5ad_counts(h5ad_file) # Build results data with taxonomy information results_data = [] if id_to_tax_map: # Load taxonomy mapping tax_map_df = pd.read_csv(id_to_tax_map) tax_map_df = tax_map_df.replace('.', np.nan) # Standardize column name: handle both 'ID' and 'id' if 'ID' in tax_map_df.columns: tax_map_df = tax_map_df.rename(columns={'ID': 'id'}) elif 'id' not in tax_map_df.columns: # If neither exists, use the first column as 'id' tax_map_df = tax_map_df.rename(columns={tax_map_df.columns[0]: 'id'}) # Get the farthest (most specific) non-empty taxonomy for each gene # Define taxonomy rank columns in order from broad to specific taxonomy_columns = [col for col in ['phylum', 'class', 'order', 'family', 'genus', 'species'] if col in tax_map_df.columns] def get_farthest_taxa(row): # Only consider taxonomy columns, in reverse order (most specific first) for col in reversed(taxonomy_columns): if pd.notna(row[col]) and row[col] != '': return row[col] return 'Unknown' tax_map_df['farthest_taxa'] = tax_map_df.apply(get_farthest_taxa, axis=1) # Get the root taxonomy category if 'root' in tax_map_df.columns: tax_map_df['tax_category'] = tax_map_df['root'] elif 'phylum' in tax_map_df.columns: tax_map_df['tax_category'] = tax_map_df['phylum'] else: # Assume first column after 'id' is the root category tax_map_df['tax_category'] = tax_map_df.iloc[:, 1] # OPTIMIZATION: Set 'id' as index for O(1) lookups instead of O(n) filtering tax_map_df = tax_map_df.set_index('id') # Filter by target taxon - optimized with index-based lookup for gene_id, count in gene_counts: # Skip genes with 0 counts if count == 0: continue if gene_id in tax_map_df.index: tax_info = tax_map_df.loc[gene_id] tax_category = tax_info['tax_category'] if tax_category == target_taxon: # Use species name if available, otherwise use farthest_taxa species_name = tax_info.get('species', tax_info['farthest_taxa']) if 'species' in tax_info.index else tax_info['farthest_taxa'] if pd.isna(species_name) or species_name == '': species_name = tax_info['farthest_taxa'] results_data.append({ 'palmdb_id': gene_id, 'sotu_id': species_name, 'count': int(count), 'tax_category': tax_category, 'farthest_taxa': tax_info['farthest_taxa'] }) else: # No taxonomy mapping - report all genes for gene_id, count in gene_counts: # Skip genes with 0 counts if count == 0: continue results_data.append({ 'palmdb_id': gene_id, 'sotu_id': gene_id, 'count': int(count), 'tax_category': 'Unknown', 'farthest_taxa': gene_id }) # Create output if not results_data: out = [{'focal_taxon_name': target_taxon, 'focal_taxon_count': 0, 'pct_of_focal': 0.0, 'palmdb_id': '', 'hit_id': '', 'hit_lowest_taxa_name': '', 'hit_reads': 0}] else: results_df = pd.DataFrame(results_data) total_focal_count = results_df['count'].sum() results_df = results_df.sort_values(by='count', ascending=False).reset_index(drop=True) # OPTIMIZATION: Use vectorized operations instead of iterrows() results_df['focal_taxon_name'] = target_taxon results_df['focal_taxon_count'] = total_focal_count results_df['pct_of_focal'] = 100.0 * results_df['count'] / total_focal_count # Create output dict out = results_df.rename(columns={ 'sotu_id': 'hit_id', 'farthest_taxa': 'hit_lowest_taxa_name', 'count': 'hit_reads' })[['focal_taxon_name', 'focal_taxon_count', 'palmdb_id', 'hit_id', 'hit_lowest_taxa_name', 'hit_reads', 'pct_of_focal']].to_dict('records') # Write output with file.open_or_gzopen(out_report, 'wt') as outf: header = ('focal_taxon_name', 'focal_taxon_count', 'palmdb_id', 'hit_id', 'hit_lowest_taxa_name', 'hit_reads', 'pct_of_focal') writer = csv.DictWriter(outf, header, delimiter='\t', dialect=csv.unix_dialect, quoting=csv.QUOTE_MINIMAL) writer.writeheader() writer.writerows(out) __commands__.append(('kb_top_taxa', parser_kb_top_taxa)) def parser_kb_merge_h5ads(parser=argparse.ArgumentParser()): parser.add_argument('in_count_tars', nargs='+', help='Input kb count tarballs to merge (tar.zst format).') parser.add_argument('--out-h5ad', dest='out_h5ad', help='Output merged h5ad file.') cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kb_merge_h5ads, split_args=True) return parser def kb_merge_h5ads(in_count_tars, out_h5ad, tmp_dir=None): ''' Merge multiple kb count output tarballs into a single h5ad file with sample metadata. Extracts h5ad files from counts_unfiltered folder and adds sample names from matrix.cells. Args: in_count_tars (list): List of input kb count tarballs (tar.zst format). out_h5ad (str): Path to the output h5ad file. tmp_dir (str, optional): Temporary directory for extraction. ''' assert out_h5ad, ('Output h5ad file must be specified.') kb_tool = kb.kb() kb_tool.merge_h5ads( in_count_tars=in_count_tars, out_h5ad=out_h5ad, tmp_dir_parent=tmp_dir ) __commands__.append(('kb_merge_h5ads', parser_kb_merge_h5ads)) def parser_krona_build(parser=argparse.ArgumentParser()): parser.add_argument('db', help='Krona taxonomy database output directory.') parser.add_argument('--taxdump_tar_gz', help='NCBI taxdump.tar.gz file', default=None) parser.add_argument('--get_accessions', action='store_true', help='Fetch NCBI accession to taxid mappings. This is not required for processing kraken1/2/uniq hits, only for BLAST hits, and adds a significant amount of time and database space (default false).') cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, krona_build, split_args=True) return parser def krona_build(db, taxdump_tar_gz=None, get_accessions=False): ''' Builds a Krona taxonomy database ''' krona.Krona().build_db( db, taxdump_tar_gz=taxdump_tar_gz, get_accessions=get_accessions) __commands__.append(('krona_build', parser_krona_build)) def parser_kraken2_build(parser=argparse.ArgumentParser()): parser.add_argument('db', help='Kraken database output directory.') parser.add_argument('--tax_db', help='Use pre-existing kraken2 taxonomy db structure', default=None) parser.add_argument('--taxdump_out', help='Save ncbi taxdump.tar.gz file', default=None) parser.add_argument('--standard_libraries', nargs='+', choices=["archaea", "bacteria", "plasmid", "viral", "human", "fungi", "plant", "protozoa", "nr", "nt", "env_nr", "env_nt", "UniVec", "UniVec_Core"], help='A list of "standard" kraken libraries to download on the fly and add.') parser.add_argument('--custom_libraries', nargs='+', help='Custom fasta files with properly formatted headers.') parser.add_argument('--kmerLen', type=int, help='(k) k-mer length (kraken2 default: 35nt/15aa)') parser.add_argument('--minimizerLen', type=int, help='(l) Minimizer length (kraken2 default: 31nt/12aa)') parser.add_argument('--minimizerSpaces', type=int, help='(s) Number of characters in minimizer that are ignored in comparisons (kraken2 default: 7nt/0aa)') parser.add_argument('--protein', action='store_true', help='Build protein database (default false/nucleotide).') parser.add_argument('--maxDbSize', type=int, help='Maximum db size in GB (default: none)') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kraken2_build, split_args=True) return parser def kraken2_build(db, tax_db=None, taxdump_out=None, standard_libraries=(), custom_libraries=(), protein=False, minimizerLen=None, kmerLen=None, minimizerSpaces=None, maxDbSize=None, threads=None): ''' Builds a kraken2 database from library directory of fastas and taxonomy db directory. The --subsetTaxonomy option allows shrinking the taxonomy to only include taxids associated with the library folders. For this to work, the library fastas must have the standard id names such as `>NC1234.1` accessions, `>gi|123456789|ref|XXXX||`, or custom kraken name `>kraken:taxid|1234|`. ''' kraken_tool = kraken2.Kraken2() kraken_tool.build(db, tax_db=tax_db, standard_libraries=standard_libraries, custom_libraries=custom_libraries, taxdump_out=taxdump_out, k=kmerLen, l=minimizerLen, s=minimizerSpaces, protein=protein, max_db_size=maxDbSize, num_threads=threads) __commands__.append(('kraken2_build', parser_kraken2_build)) def parser_kb_build(parser=argparse.ArgumentParser()): parser.add_argument('ref_fasta', help='Reference sequence fasta file.') parser.add_argument('--index', help='kb output index file.') parser.add_argument('--workflow', choices=['standard', 'nac', 'kite', 'custom'], default='standard', help='Type of index to create (default: %(default)s).') parser.add_argument('--kmer_len', type=int, help='k-mer length (default: 31).') parser.add_argument('--protein', action='store_true', help='True if sequence contains amino acids(default: False).') cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, kb_build, split_args=True) return parser def kb_build(ref_fasta, index, workflow='standard', kmer_len=31, protein=False, threads=None): ''' Builds a kb index from a reference fasta file. Args: ref_fasta (str): Path to the reference sequence fasta file. index (str): Path to the output kb index file. workflow (str): Type of index to create. Options are 'standard', 'nac', 'kite', 'custom'. kmer_len (int): k-mer length (default: 31). protein (bool): True if sequence contains amino acids (default: False). threads (int): Number of threads to use (default: None). ''' kb_tool = kb.kb() kb_tool.build(ref_fasta, index=index, workflow=workflow, kmer_len=kmer_len, protein=protein, num_threads=threads) __commands__.append(('kb_build', parser_kb_build)) def full_parser(): return cmd.make_parser(__commands__, __doc__) def main(): cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/ncbi.py ================================================ #!/usr/bin/env python '''This script contains a number of utilities for submitting our analyses to NCBI's Genbank and SRA databases, as well as retreiving records from Genbank. ''' __author__ = "tomkinsc@broadinstitute.org" __commands__ = [] import argparse import logging import collections import shutil import os import os.path import arrow import Bio.SeqIO from .core import cmd from .core import file from .core import version from .phylo import genbank from . import interhost from .phylo import feature_table log = logging.getLogger(__name__) def fasta_chrlens(fasta): out = collections.OrderedDict() with open(fasta, 'rt') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): out[seq.id] = len(seq) return out def tbl_transfer_common(cmap, ref_tbl, out_tbl, alt_chrlens, oob_clip=False, ignore_ambig_feature_edge=False): """ This function is the feature transfer machinery used by tbl_transfer() and tbl_transfer_prealigned(). cmap is an instance of CoordMapper. """ ft = feature_table.FeatureTable(ref_tbl) remapped_ft = feature_table.FeatureTable() # sequence identifier refSeqID = [x for x in cmap.keys() if ft.refID in x][0] altid = list(set(cmap.keys()) - set([refSeqID]))[0] ft.refID = altid # feature with numeric coordinates (map them) def remap_function(start, end, feature): """ start/end are SeqPositions from phylo.feature_table """ strand = None if end.position >= start.position: strand = '+' start.position = cmap.mapChr(refSeqID, altid, start.position, -1)[1] end.position = cmap.mapChr(refSeqID, altid, end.position, 1)[1] else: # negative strand feature strand = '-' start.position = cmap.mapChr(refSeqID, altid, start.position, 1)[1] end.position = cmap.mapChr(refSeqID, altid, end.position, -1)[1] if ignore_ambig_feature_edge: start.location_operator = None end.location_operator = None if start.position and end.position: # feature completely within bounds return (start, end) elif start.position == None and end.position == None: # feature completely out of bounds return (None, None) else: # feature overhangs end of sequence if oob_clip: if feature.type == "CDS": feature.add_note("sequencing did not capture complete CDS") if strand == '+': # clip pos strand feature if start.position == None: # clip the beginning if feature.type == 'CDS': # for CDS features, clip in multiples of 3 r = (end.position if end.position is not None else alt_chrlens[altid]) start.position = (r % 3) + 1 start.location_operator = '<' else: start.position = 1 start.location_operator = '<' if end.position == None: # clip the end end.position = alt_chrlens[altid] end.location_operator = '>' else: # clip neg strand feature if start.position == None: # clip the beginning (right side) r = alt_chrlens[altid] if feature.type == 'CDS': # for CDS features, clip in multiples of 3 l = (end.position if end.position is not None else 1) # new left r = r - ((r-l+1) % 3) # create new right in multiples of 3 from left if (r-l) < 3: # less than a codon remains, drop it return (None, None) start.position = r start.location_operator = '<' if end.position == None: # clip the end (left side) end.position = 1 end.location_operator = '>' else: return (None, None) # Validate final coordinates are within bounds if start.position and end.position: seq_len = alt_chrlens[altid] if start.position < 1 or start.position > seq_len: return (None, None) if end.position < 1 or end.position > seq_len: return (None, None) return (start, end) ft.remap_locations(remap_function) with open(out_tbl, 'wt') as outf: exclude_patterns = [ # regexp, matched anywhere in line r"protein_id" ] for line in ft.lines(exclude_patterns=exclude_patterns): outf.write(str(line) + '\n') # extra newline at the end outf.write('\n') def tbl_transfer(ref_fasta, ref_tbl, alt_fasta, out_tbl, oob_clip=False, ignore_ambig_feature_edge=False): ''' This function takes an NCBI TBL file describing features on a genome (genes, etc) and transfers them to a new genome. ''' cmap = interhost.CoordMapper() cmap.align_and_load_sequences([ref_fasta, alt_fasta]) alt_chrlens = fasta_chrlens(alt_fasta) tbl_transfer_common(cmap, ref_tbl, out_tbl, alt_chrlens, oob_clip, ignore_ambig_feature_edge) def parser_tbl_transfer(parser=argparse.ArgumentParser()): parser.add_argument("ref_fasta", help="Input sequence of reference genome") parser.add_argument("ref_tbl", help="Input reference annotations (NCBI TBL format)") parser.add_argument("alt_fasta", help="Input sequence of new genome") parser.add_argument("out_tbl", help="Output file with transferred annotations") parser.add_argument('--oob_clip', default=False, action='store_true', help='''Out of bounds feature behavior. False: drop all features that are completely or partly out of bounds True: drop all features completely out of bounds but truncate any features that are partly out of bounds''') parser.add_argument('--ignoreAmbigFeatureEdge', dest="ignore_ambig_feature_edge", default=False, action='store_true', help='''Ambiguous feature behavior. False: features specified as ambiguous ("<####" or ">####") are mapped, where possible True: features specified as ambiguous ("<####" or ">####") are interpreted as exact values''') cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, tbl_transfer, split_args=True) return parser __commands__.append(('tbl_transfer', parser_tbl_transfer)) def tbl_transfer_multichr(ref_fastas, ref_tbls, alt_fasta, out_dir, oob_clip=False, ignore_ambig_feature_edge=False): ''' This function takes an NCBI TBL file describing features on a genome (genes, etc) and transfers them to a new genome. ''' # parse the alt_fasta into one-seg-per-file fastas alt_fastas = [] alt_seqids = [] with file.open_or_gzopen(alt_fasta, 'r') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): fname = os.path.join(out_dir, file.string_to_file_name(seq.id) + ".fasta") alt_seqids.append(seq.id) alt_fastas.append(fname) Bio.SeqIO.write(seq, fname, "fasta") n_segs = len(alt_fastas) # input consistency check if not (n_segs == len(ref_fastas)) and (n_segs == len(ref_tbls)): raise Exception("The number of reference fastas ({}), reference feature tables ({}), and alt sequences ({}) must be exactly equal".format( len(ref_fastas), len(ref_tbls), n_segs)) # iterate over each segment and call tbl_transfer on each for i in range(n_segs): out_tbl = os.path.join(out_dir, file.string_to_file_name(alt_seqids[i]) + '.tbl') tbl_transfer(ref_fastas[i], ref_tbls[i], alt_fastas[i], out_tbl, oob_clip=oob_clip, ignore_ambig_feature_edge=ignore_ambig_feature_edge) def parser_tbl_transfer_multichr(parser=argparse.ArgumentParser()): parser.add_argument("alt_fasta", help="Input sequence of new genome, all chr/segs in one fasta file, in the same order as ref_fastas") parser.add_argument("out_dir", help="Output files include one fasta and tbl per sequence in alt_fasta, named according to the fasta header ID of each entry in alt_fasta.") parser.add_argument("--ref_fastas", nargs='+', help="Input sequences of reference genome, one chr/seg per fasta file") parser.add_argument("--ref_tbls", nargs='+', help="Input reference annotations (NCBI TBL format), one chr/seg per tbl file, in the same order as ref_fastas") parser.add_argument('--oob_clip', default=False, action='store_true', help='''Out of bounds feature behavior. False: drop all features that are completely or partly out of bounds True: drop all features completely out of bounds but truncate any features that are partly out of bounds''') parser.add_argument('--ignoreAmbigFeatureEdge', dest="ignore_ambig_feature_edge", default=False, action='store_true', help='''Ambiguous feature behavior. False: features specified as ambiguous ("<####" or ">####") are mapped, where possible True: features specified as ambiguous ("<####" or ">####") are interpreted as exact values''') cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, tbl_transfer_multichr, split_args=True) return parser __commands__.append(('tbl_transfer_multichr', parser_tbl_transfer_multichr)) def tbl_transfer_prealigned(inputFasta, refFasta, refAnnotTblFiles, outputDir, oob_clip=False, ignore_ambig_feature_edge=False): """ This breaks out the ref and alt sequences into separate fasta files, and then creates unified files containing the reference sequence first and the alt second. Each of these unified files is then passed as a cmap to tbl_transfer_common. This function expects to receive one fasta file containing a multialignment of a single segment/chromosome along with the respective reference sequence for that segment/chromosome. It also expects a reference containing all reference segments/chromosomes, so that the reference sequence can be identified in the input file by name. It also expects a list of reference tbl files, where each file is named according to the ID present for its corresponding sequence in the refFasta. For each non-reference sequence present in the inputFasta, two files are written: a fasta containing the segment/chromosome for the same, along with its corresponding feature table as created by tbl_transfer_common. """ ref_tbl = "" # must be identified in list of tables ref_fasta_filename = "" matchingRefSeq = None if not os.path.exists(outputDir): os.makedirs(outputDir) # identify which of the sequences in the multialignment is the reference, # matching by ID to one of the sequences in the refFasta with file.open_or_gzopen(inputFasta, 'r') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): with file.open_or_gzopen(refFasta, 'r') as reff: for refSeq in Bio.SeqIO.parse(reff, 'fasta'): if seq.id == refSeq.id: ref_fasta_filename = file.mkstempfname('.fasta') matchingRefSeq = seq break if matchingRefSeq: break if ref_fasta_filename == "": raise KeyError("No reference was found in the input file %s" % (inputFasta)) # identify the correct feature table source based on its filename, # which should correspond to a unique component of the ref sequence ID (i.e. the genbank accession) for tblFilename in refAnnotTblFiles: # identify the correct feature table as the one that has an ID that is # part of the ref seq ID fileAccession = genbank.get_feature_table_id(tblFilename) if fileAccession == matchingRefSeq.id.split('|')[0]: ref_tbl = tblFilename break if ref_tbl == "": raise KeyError("No reference table was found for the reference %s" % (matchingRefSeq.id)) # write out the desired sequences to separate fasta files with file.open_or_gzopen(inputFasta, 'r') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): # if we are looking at the reference sequence in the multialignment, # continue to the next sequence if seq.id == matchingRefSeq.id: continue combined_fasta_filename = "" combined_fasta_filename = file.mkstempfname('.fasta') # write ref and alt sequences to a combined fasta file, sourced from the # alignment so gaps are present for the CoordMapper instance, cmap with open(combined_fasta_filename, 'wt') as outf: Bio.SeqIO.write([matchingRefSeq, seq], outf, "fasta") # create a filepath for the output table out_tbl = os.path.join(outputDir, seq.id + ".tbl") cmap = interhost.CoordMapper() cmap.load_alignments([combined_fasta_filename]) # sequences in the fasta file here should NOT include gaps # since alt_chrlens is only used in the case where features would # extend beyond the genome (for reporting >{seq.len}) alt_chrlens = {}#fasta_chrlens(combined_fasta_filename) alt_chrlens[seq.id] = len(seq.seq.replace("-","")) alt_chrlens[matchingRefSeq.id] = len(matchingRefSeq.seq.replace("-","")) tbl_transfer_common(cmap, ref_tbl, out_tbl, alt_chrlens, oob_clip, ignore_ambig_feature_edge) def parser_tbl_transfer_prealigned(parser=argparse.ArgumentParser()): parser.add_argument("inputFasta", help="""FASTA file containing input sequences, including pre-made alignments and reference sequence""") parser.add_argument("refFasta", help="FASTA file containing the reference genome") parser.add_argument("refAnnotTblFiles", nargs='+', help="""Name of the reference feature tables, each of which should have a filename comrised of [refId].tbl so they can be matched against the reference sequences""") parser.add_argument("outputDir", help="The output directory") parser.add_argument('--oob_clip', default=False, action='store_true', help='''Out of bounds feature behavior. False: drop all features that are completely or partly out of bounds True: drop all features completely out of bounds but truncate any features that are partly out of bounds''') parser.add_argument('--ignoreAmbigFeatureEdge', dest="ignore_ambig_feature_edge", default=False, action='store_true', help='''Ambiguous feature behavior. False: features specified as ambiguous ("<####" or ">####") are mapped, where possible True: features specified as ambiguous ("<####" or ">####") are interpreted as exact values''') cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, tbl_transfer_prealigned, split_args=True) return parser __commands__.append(('tbl_transfer_prealigned', parser_tbl_transfer_prealigned)) def fetch_fastas(accession_IDs, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, fileExt, removeSeparateFiles, chunkSize, api_key=None): ''' This function downloads and saves the FASTA files from the Genbank CoreNucleotide database given a given list of accession IDs. ''' genbank.fetch_fastas_from_genbank(accession_IDs, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, removeSeparateFiles, fileExt, "fasta", chunkSize=chunkSize, api_key=api_key) def fetch_feature_tables(accession_IDs, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, fileExt, removeSeparateFiles, chunkSize, api_key=None): ''' This function downloads and saves feature tables from the Genbank CoreNucleotide database given a given list of accession IDs. ''' genbank.fetch_feature_tables_from_genbank(accession_IDs, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, removeSeparateFiles, fileExt, "ft", chunkSize=chunkSize, api_key=api_key) def fetch_genbank_records(accession_IDs, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, fileExt, removeSeparateFiles, chunkSize, api_key=None): ''' This function downloads and saves full flat text records from Genbank CoreNucleotide database given a given list of accession IDs. ''' genbank.fetch_full_records_from_genbank(accession_IDs, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, removeSeparateFiles, fileExt, "gb", chunkSize=chunkSize, api_key=api_key) def parser_fetch_reference_common(parser=argparse.ArgumentParser()): parser.add_argument("emailAddress", help="""Your email address. To access Genbank databases, NCBI requires you to specify your email address with each request. In case of excessive usage of the E-utilities, NCBI will attempt to contact a user at the email address provided before blocking access. This email address should be registered with NCBI. To register an email address, simply send an email to eutilities@ncbi.nlm.nih.gov including your email address and the tool name (tool='https://github.com/broadinstitute/viral-ngs').""") parser.add_argument("--api_key", dest="api_key", help="""Your NCBI API key. If an API key is not provided, NCBI requests are limited to 3/second. If an API key is provided, requests may be submitted at a rate up to 10/second. For more information, see: https://ncbiinsights.ncbi.nlm.nih.gov/2017/11/02/new-api-keys-for-the-e-utilities/ """) parser.add_argument("destinationDir", help="Output directory with where .fasta and .tbl files will be saved") parser.add_argument("accession_IDs", nargs='+', help="List of Genbank nuccore accession IDs") parser.add_argument('--forceOverwrite', default=False, action='store_true', help='''Overwrite existing files, if present.''') parser.add_argument('--combinedFilePrefix', help='''The prefix of the file containing the combined concatenated results returned by the list of accession IDs, in the order provided.''') parser.add_argument('--fileExt', default=None, help='''The extension to use for the downloaded files''') parser.add_argument('--removeSeparateFiles', default=False, action='store_true', help='''If specified, remove the individual files and leave only the combined file.''') parser.add_argument('--chunkSize', default=1, type=int, help='''Causes files to be downloaded from GenBank in chunks of N accessions. Each chunk will be its own combined file, separate from any combined file created via --combinedFilePrefix (default: %(default)s). If chunkSize is unspecified and >500 accessions are provided, chunkSize will be set to 500 to adhere to the NCBI guidelines on information retreival.''') return parser def parser_fetch_fastas(parser): parser = parser_fetch_reference_common(parser) cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, fetch_fastas, split_args=True) return parser __commands__.append(('fetch_fastas', parser_fetch_fastas)) def parser_fetch_feature_tables(parser): parser = parser_fetch_reference_common(parser) cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, fetch_feature_tables, split_args=True) return parser __commands__.append(('fetch_feature_tables', parser_fetch_feature_tables)) def parser_fetch_genbank_records(parser): parser = parser_fetch_reference_common(parser) cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, fetch_genbank_records, split_args=True) return parser __commands__.append(('fetch_genbank_records', parser_fetch_genbank_records)) def biosample_to_genbank(attributes, num_segments, taxid, out_genbank_smt, out_biosample_map, biosample_in_smt=False, iso_dates=False, filter_to_samples=None, sgtf_override=False): ''' Prepare a Genbank Source Modifier Table based on a BioSample registration table (since all of the values are there) ''' header_key_map = { 'Sequence_ID':'sample_name', 'country':'geo_loc_name', 'BioProject':'bioproject_accession', 'BioSample':'accession', } datestring_formats = [ "YYYY-MM-DDTHH:mm:ss", "YYYY-MM-DD", "YYYY-MM", "DD-MMM-YYYY", "MMM-YYYY", "YYYY" ] out_headers_total = ['Sequence_ID', 'isolate', 'collection_date', 'country', 'collected_by', 'isolation_source', 'organism', 'host', 'note', 'db_xref'] if biosample_in_smt: out_headers_total.extend(['BioProject', 'BioSample']) if filter_to_samples: with open(filter_to_samples, 'rt') as inf: samples_to_filter_to = set(line.strip() for line in inf) with open(out_genbank_smt, 'wt') as outf_smt: in_headers = file.readFlatFileHeader(attributes) out_headers = list(h for h in out_headers_total if header_key_map.get(h,h) in in_headers) if 'db_xref' not in out_headers: out_headers.append('db_xref') if 'note' not in out_headers: out_headers.append('note') outf_smt.write('\t'.join(out_headers)+'\n') with open(out_biosample_map, 'wt') as outf_biosample: outf_biosample.write('BioSample\tsample\n') for row in file.read_tabfile_dict(attributes): if row['message'].startswith('Success'): # skip if this is not a sample we're interested in if filter_to_samples: if row['sample_name'] not in samples_to_filter_to: continue # write BioSample outf_biosample.write("{}\t{}\n".format(row['accession'], row['sample_name'])) # populate output row as a dict outrow = dict((h, row.get(header_key_map.get(h,h), '')) for h in out_headers) # custom reformat collection_date collection_date = outrow.get('collection_date', '') if collection_date: date_parsed = None for datestring_format in datestring_formats: try: date_parsed = arrow.get(collection_date, datestring_format) break except arrow.parser.ParserError: pass if date_parsed: if iso_dates: collection_date = str(date_parsed.format("YYYY-MM-DD")) else: collection_date = str(date_parsed.format("DD-MMM-YYYY")) outrow['collection_date'] = collection_date else: log.warn("unable to parse date {} from sample {}".format(collection_date, outrow['Sequence_ID'])) # custom db_xref/taxon outrow['db_xref'] = "taxon:{}".format(taxid) # load the purpose of sequencing (or if not, the purpose of sampling) in the note field outrow['note'] = row.get('purpose_of_sequencing', row.get('purpose_of_sampling', '')) # SARS-CoV-2 specific bits if sgtf_override and (outrow['note'] in set(["Screening for Variants of Concern (VoC)", "SGTF Surveillance"])): outrow['note'] = 'screened by S dropout' # write entry for this sample outf_smt.write('\t'.join(outrow[h] for h in out_headers)+'\n') # also write numbered versions for every segment/chromosome sample_name = outrow['Sequence_ID'] if num_segments>1: for i in range(num_segments): outrow['Sequence_ID'] = "{}-{}".format(sample_name, i+1) outf_smt.write('\t'.join(outrow[h] for h in out_headers)+'\n') def parser_biosample_to_genbank(parser=argparse.ArgumentParser()): parser.add_argument('attributes', help='Input BioSample metadata table -- the attributes.tsv returned by BioSample after successful registration') parser.add_argument("num_segments", type=int, help="number of chromosomes/segments per genome for this species") parser.add_argument("taxid", type=int, help="NCBI Taxonomy numeric taxid to assign to all entries") parser.add_argument("out_genbank_smt", help="Output tab table in Genbank Source Modifier Table format, suitable for prep_genbank_files") parser.add_argument("out_biosample_map", help="Output two-column biosample accession to sample name map, suitable for prep_genbank_files") parser.add_argument('--biosample_in_smt', dest="biosample_in_smt", default=False, action='store_true', help='Add BioSample and BioProject columns to source modifier table output') parser.add_argument('--iso_dates', dest="iso_dates", default=False, action='store_true', help='write collection_date in ISO format (YYYY-MM-DD). default (false) is to write in tbl2asn format (DD-Mmm-YYYY)') parser.add_argument('--sgtf_override', dest="sgtf_override", default=False, action='store_true', help='replace "Screening for Variants of Concern (VoC)" with "screened by S dropout" in the note field') parser.add_argument('--filter_to_samples', help="Filter output to specified sample IDs in this input file (one ID per line).") cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, biosample_to_genbank, split_args=True) return parser __commands__.append(('biosample_to_genbank', parser_biosample_to_genbank)) def fasta2fsa(infname, outdir, biosample=None): ''' copy a fasta file to a new directory and change its filename to end in .fsa for NCBI's sake. ''' outfname = os.path.basename(infname) if outfname.endswith('.fasta'): outfname = outfname[:-6] elif outfname.endswith('.fa'): outfname = outfname[:-3] if not outfname.endswith('.fsa'): outfname = outfname + '.fsa' outfname = os.path.join(outdir, outfname) with open(infname, 'r') as inf: with open(outfname, 'wt') as outf: for line in inf: if line.startswith('>') and biosample: line = line.rstrip('\n\r') line = '{} [biosample={}]\n'.format(line, biosample) outf.write(line) return outfname def multi_smt_table(in_table, out_cmt): header_key_map = { } out_headers_total = ('SeqID', 'StructuredCommentPrefix', 'Assembly Method', 'Coverage', 'Sequencing Technology', 'StructuredCommentSuffix') with open(out_cmt, 'wt') as outf: for row in file.read_tabfile_dict(in_table): outrow = dict((h, row.get(header_key_map.get(h,h), '')) for h in out_headers) outrow['StructuredCommentPrefix'] = 'Assembly-Data' outrow['StructuredCommentSuffix'] = 'Assembly-Data' outf.write('\t'.join(outrow[h] for h in out_headers)+'\n') def make_structured_comment_file(cmt_fname, name=None, seq_tech=None, coverage=None, assembly_method=None, assembly_method_version=None): if assembly_method is None and assembly_method_version is None: assembly_method = "github.com/broadinstitute/viral-ngs" assembly_method_version = version.get_version() elif assembly_method is None or assembly_method_version is None: raise Exception("if either the assembly_method or assembly_method_version are specified, both most be specified") with open(cmt_fname, 'wt') as outf: outf.write("StructuredCommentPrefix\t##Genome-Assembly-Data-START##\n") # note: the v. format is required by NCBI, don't remove the " v. " outf.write("Assembly Method\t{} v. {}\n".format(assembly_method, assembly_method_version)) if name: outf.write("Assembly Name\t{}\n".format(name)) if coverage: coverage = str(coverage) if not coverage.endswith('x') or coverage.endswith('X'): coverage = coverage + 'x' outf.write("Genome Coverage\t{}\n".format(coverage)) if seq_tech: outf.write("Sequencing Technology\t{}\n".format(seq_tech)) outf.write("StructuredCommentSuffix\t##Genome-Assembly-Data-END##\n") def prep_genbank_files(templateFile, fasta_files, annotDir, master_source_table=None, comment=None, sequencing_tech=None, coverage_table=None, biosample_map=None, organism=None, mol_type=None, assembly_method=None, assembly_method_version=None): ''' Prepare genbank submission files. Requires .fasta and .tbl files as input, as well as numerous other metadata files for the submission. Creates a directory full of files (.sqn in particular) that can be sent to GenBank. ''' # get coverage map coverage = {} if coverage_table: for row in file.read_tabfile_dict(coverage_table): if row.get('sample') and row.get('aln2self_cov_median'): coverage[row['sample']] = row['aln2self_cov_median'] # get biosample id map biosample = {} if biosample_map: for row in file.read_tabfile_dict(biosample_map): if row.get('sample') and row.get('BioSample'): biosample[row['sample']] = row['BioSample'] # make output directory file.mkdir_p(annotDir) for fn in fasta_files: if not fn.endswith('.fasta'): raise Exception("fasta files must end in .fasta") sample_base = os.path.basename(fn)[:-6] # for each segment/chromosome in the fasta file, # create a separate new *.fsa file n_segs = file.fasta_length(fn) with open(fn, "r") as inf: asm_fasta = Bio.SeqIO.parse(inf, 'fasta') for idx, seq_obj in enumerate(asm_fasta): seq_obj.id if n_segs>1: sample = sample_base + "-" + str(idx+1) else: sample = sample_base # write the segment to a temp .fasta file # in the same dir so fasta2fsa functions as expected with file.tmp_dir() as tdir: temp_fasta_fname = os.path.join(tdir,file.string_to_file_name(seq_obj.id)+".fasta") with open(temp_fasta_fname, "w") as out_chr_fasta: Bio.SeqIO.write(seq_obj, out_chr_fasta, "fasta") # make .fsa files fasta2fsa(temp_fasta_fname, annotDir, biosample=biosample.get(seq_obj.id)) # make .src files if master_source_table: out_src_fname = os.path.join(annotDir, file.string_to_file_name(seq_obj.id) + '.src') with open(master_source_table, 'rt') as inf: with open(out_src_fname, 'wt') as outf: outf.write(inf.readline()) for line in inf: row = line.rstrip('\n').split('\t') if row[0] in set((seq_obj.id, sample_base, file.string_to_file_name(seq_obj.id))): row[0] = seq_obj.id outf.write('\t'.join(row) + '\n') # make .cmt files make_structured_comment_file(os.path.join(annotDir, file.string_to_file_name(seq_obj.id) + '.cmt'), name=seq_obj.id, coverage=coverage.get(seq_obj.id, coverage.get(sample_base, coverage.get(file.string_to_file_name(seq_obj.id)))), seq_tech=sequencing_tech, assembly_method=assembly_method, assembly_method_version=assembly_method_version) # TODO: Migrate to table2asn (tbl2asn is deprecated by NCBI) # The old tbl2asn tool wrapper was removed during monorepo migration. # table2asn has a different command-line interface and needs a new wrapper. log.warning("tbl2asn step skipped - tool deprecated. Use table2asn manually or implement wrapper.") def parser_prep_genbank_files(parser=argparse.ArgumentParser()): parser.add_argument('templateFile', help='Submission template file (.sbt) including author and contact info') parser.add_argument("fasta_files", nargs='+', help="Input fasta files") parser.add_argument("annotDir", help="Output directory with genbank submission files (.tbl files must already be there)") parser.add_argument('--comment', default=None, help='comment field') parser.add_argument('--sequencing_tech', default=None, help='sequencing technology (e.g. Illumina HiSeq 2500)') parser.add_argument('--master_source_table', default=None, help='source modifier table') parser.add_argument('--organism', default=None, help='species name') parser.add_argument('--mol_type', default=None, help='molecule type') parser.add_argument("--biosample_map", help="""A file with two columns and a header: sample and BioSample. This file may refer to samples that are not included in this submission.""") parser.add_argument('--coverage_table', default=None, help='''A genome coverage report file with a header row. The table must have at least two columns named sample and aln2self_cov_median. All other columns are ignored. Rows referring to samples not in this submission are ignored.''') parser.add_argument('--assembly_method', default=None, help='short description of informatic assembly method') parser.add_argument('--assembly_method_version', default=None, help='version of assembly method used') cmd.common_args(parser, (('tmp_dir', None), ('loglevel', None), ('version', None))) cmd.attach_main(parser, prep_genbank_files, split_args=True) return parser __commands__.append(('prep_genbank_files', parser_prep_genbank_files)) def prep_sra_table(lib_fname, biosampleFile, md5_fname, outFile): ''' This is a very lazy hack that creates a basic table that can be pasted into various columns of an SRA submission spreadsheet. It probably doesn't work in all cases. ''' metadata = {} with file.open_or_gzopen(biosampleFile, 'r') as inf: header = inf.readline() for line in inf: row = line.rstrip('\n\r').split('\t') metadata.setdefault(row[0], {}) metadata[row[0]]['biosample_accession'] = row[1] with file.open_or_gzopen(md5_fname, 'r') as inf: for line in inf: row = line.rstrip('\n\r').split() s = os.path.basename(row[1]) assert s.endswith('.cleaned.bam') s = s[:-len('.cleaned.bam')] metadata.setdefault(s, {}) metadata[s]['filename'] = row[1] metadata[s]['MD5_checksum'] = row[0] with open(outFile, 'wt') as outf: header = ['biosample_accession', 'sample_name', 'library_ID', 'filename', 'MD5_checksum'] outf.write('\t'.join(header) + '\n') with open(lib_fname, 'r') as inf: for line in inf: lib = line.rstrip('\n\r') parts = lib.split('.') assert len(parts) > 1 and parts[-1].startswith('l') s = '.'.join(parts[:-1]) metadata.setdefault(s, {}) metadata[s]['library_ID'] = lib metadata[s]['sample_name'] = s outf.write('\t'.join(metadata[s].get(h, '') for h in header) + '\n') def parser_prep_sra_table(parser=argparse.ArgumentParser()): parser.add_argument('lib_fname', help='A file that lists all of the library IDs that will be submitted in this batch') parser.add_argument("biosampleFile", help="""A file with two columns and a header: sample and BioSample. This file may refer to samples that are not included in this submission.""") parser.add_argument("md5_fname", help="""A file with two columns and no header. Two columns are MD5 checksum and filename. Should contain an entry for every bam file being submitted in this batch. This is typical output from "md5sum *.cleaned.bam".""") parser.add_argument("outFile", help="Output table that contains most of the variable columns needed for SRA submission.") cmd.common_args(parser, (('loglevel', None), ('version', None))) cmd.attach_main(parser, prep_sra_table, split_args=True) return parser __commands__.append(('prep_sra_table', parser_prep_sra_table)) def full_parser(): return cmd.make_parser(__commands__, __doc__) def main(): cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/phylo/__init__.py ================================================ """ viral_ngs.phylo - Phylogenetic analysis tools and utilities. This package contains tool wrappers and utilities for: - Multiple sequence alignment (MAFFT, MUMmer, MUSCLE) - Variant calling and annotation (V-Phaser2, SnpEff) - GenBank feature table manipulation - VCF file utilities """ from . import feature_table from . import feature_table_types from . import genbank from . import mafft from . import mummer from . import muscle from . import snpeff from . import vcf from . import vphaser2 ================================================ FILE: src/viral_ngs/phylo/feature_table.py ================================================ #!/usr/bin/env python import re import os from . import feature_table_types class SeqPosition(object): def __init__(self, position, location_operator=None, allow_fuzzy=True): self.position = int(position) self.location_operator = location_operator self.allow_fuzzy = allow_fuzzy def __str__(self): if self.allow_fuzzy: return "{op}{pos}".format(op=self.location_operator if self.location_operator else "", pos=str(self.position)) else: return str(self.position) def __int__(self): return self.position def is_fuzzy(self): return self.locaton_operator def __eq__(self, other): return self.position == other.position def __ne__(self, other): return self.position != other.position def __lt__(self, other): return self.position < other.position def __le__(self, other): return self.position <= other.position def __gt__(self, other): return self.position > other.position def __ge__(self, other): return self.position >= other.position class SeqQualifier(object): def __init__(self, qualifier_key, qualifier_value): self.qualifier_key = qualifier_key self.qualifier_value = qualifier_value def __str__(self): if self.qualifier_value: return "\t\t\t{k}\t{v}".format(k=self.qualifier_key,v=self.qualifier_value) else: return "\t\t\t{k}".format(k=self.qualifier_key) class SeqLocation(object): def __init__(self, start_pos, end_pos, feature_type=None): self.start = start_pos self.end = end_pos self.feature_type = feature_type def __str__(self): if self.feature_type: return "{start}\t{end}\t{type}".format( start=self.start, end=self.end, type=self.feature_type ) else: return "{start}\t{end}".format(start=self.start, end=self.end) def __eq__(self, other): return ((self.start, self.end) == (other.start, other.end)) def __ne__(self, other): return ((self.start, self.end) != (other.start, other.end)) def __lt__(self, other): return self.start < other.start or (self.start==other.start and self.end < other.end) def __le__(self, other): return self.start <= other.start or (self.start==other.start and self.end <= other.end) def __gt__(self, other): return self.start > other.start or (self.start==other.start and self.end > other.end) def __ge__(self, other): return self.start >= other.start or (self.start==other.start and self.end >= other.end) class SeqFeature(object): def __init__(self, locations=None, feature_type=None): self.locations = locations or [] self.type = feature_type self.qualifiers = [] def add_location(self, location): self.locations.append(location) def add_location(self, start, location_operator_start, end, location_operator_end, allow_fuzzy=True, *args, **kwargs): self.locations.append(SeqLocation(SeqPosition(start, location_operator_start, allow_fuzzy=allow_fuzzy), SeqPosition(end, location_operator_end, allow_fuzzy=allow_fuzzy))) # sort with each insertion self.sort() def sort(self): #pass self.locations = sorted(self.locations) def add_qualifier(self, qualifier_key, qualifier_value, *args, **kwargs): self.qualifiers.append(SeqQualifier(qualifier_key, qualifier_value)) def add_note(self, note_text): self.add_qualifier("note", note_text) @property def lines(self): if len(self.locations): first_loc = self.locations.pop(0) first_loc.feature_type = self.type yield first_loc for l in self.locations: yield l # yield notes first for q in self.qualifiers: if q.qualifier_key == "note": yield q for q in self.qualifiers: if q.qualifier_key != "note": yield q class AttrDict(dict): """ Expose (string) dictionary keys as attributes. Danger: can cause collisions between dict item keys and dict built-ins (the former will override). Only to be used with trusted input for dict keys Note: memory leak Python < 2.7.4 / Python3 < 3.2.3 see: https://bugs.python.org/issue1469629 """ def __init__(self, *args, **kwargs): super(AttrDict, self).__init__(*args, **kwargs) self.__dict__ = self class FeatureTable(object): # get feature table keys from extensive map _default_feature_types = sorted(feature_table_types.ft_types.keys()) def __init__(self, filepath=None, valid_feature_types=None): self.refID = None self._features = [] self.valid_feature_types = valid_feature_types or self._default_feature_types self.feature_line_regex_map = { "feature_table_header" : re.compile(r"^>Feature (gb\||ref\||emb\||dbj\|)(?P.*)\|.*$"), "feature_first_location_line" : re.compile(r"^(?P[<>])?(?P\d+)\t(?P[<>])?(?P\d+)\t(?P" + "|".join(self.valid_feature_types) + ")$"), "feature_subsequent_location_line" : re.compile(r"^(?P[<>])?(?P\d+)\t(?P[<>])?(?P\d+)\t*$"), "offset_line" : re.compile(r"^(?:\[offset=(?P-?\d+)\])$"), "feature_qualifier_line" : re.compile(r"^\t{3}(?P[^\t]*)(?:\t(?P[^\t]*))?$") } if filepath: self.read_feature_table(filepath) def _parse_line(self, line): for k,r in self.feature_line_regex_map.items(): m = r.match(line) if m: return_dict = AttrDict(m.groupdict()) return_dict["line_type"] = k #return_dict["raw_line"] = line return return_dict raise LookupError(r"Error parsing feature table line: '%s'" % line) @property def features(self): return self._features @property def default_feature_types(self): return self._default_feature_values.keys() def add_feature(self, feature): self._features.append(feature) def read_feature_table(self, filepath, map_function=None, allow_fuzzy=True): """ Read a Genbank-style feature table in tsv/Sequin format This applies any offsets present in the input to the positions seen (no offsets in output). The map_function accepts two ints: a position interval, and returns two ints representing remapped feature coordinates. """ with open(os.path.realpath(os.path.normpath(filepath)), 'rt') as inf: feature_in_progress = None offset = 0 for line in inf: line = line.rstrip('\r\n') if not line: continue l = self._parse_line(line) if not self.refID and l.line_type == "feature_table_header": self.refID = l.refID elif l.line_type == "feature_first_location_line": if feature_in_progress: self.features.append(feature_in_progress) feature_in_progress = None feature_in_progress = SeqFeature(feature_type=l.feature_type) l.start = int(l.start) + int(offset) l.end = int(l.end) + int(offset) if map_function: l.start, l.end = map_function(l.start, l.end) feature_in_progress.add_location(allow_fuzzy=allow_fuzzy,**l) elif l.line_type == "feature_subsequent_location_line": l.start = int(l.start) + int(offset) l.end = int(l.end) + int(offset) if map_function: l.start, l.end = map_function(l.start, l.end) feature_in_progress.add_location(allow_fuzzy=allow_fuzzy,**l) elif l.line_type == "feature_qualifier_line": feature_in_progress.add_qualifier(**l) elif l.line_type == "offset_line": offset = int(l.offset) if feature_in_progress: self.features.append(feature_in_progress) feature_in_progress = None if not self.refID: raise Exception("The feature table file did not have a header line in the format '%s'" % self.feature_line_regex_map["feature_table_header"].pattern) def _is_valid_location(self, location): """Check if a location has valid, non-None coordinates.""" if location.start is None or location.end is None: return False if location.start.position is None or location.end.position is None: return False # Ensure positions are integers (not strings) try: int(location.start.position) int(location.end.position) except (ValueError, TypeError): return False return True def remap_locations(self, map_function=None): """ map_function should accept two SeqLocation objects and the containing feature, and return two (mapped) SeqLocation objects if (None,None) is returned, the location will not be included in the remapped location list """ if map_function: for feature in self.features: remapped_locations = [] intervals_dropped = False for location in feature.locations: location.start, location.end = map_function(location.start,location.end, feature) # only include locations that are valid if self._is_valid_location(location): remapped_locations.append(location) else: # Mark that we've dropped intervals intervals_dropped = True # Add note when intervals are dropped if not any(q.qualifier_key == "note" and "sequencing did not capture" in q.qualifier_value for q in feature.qualifiers): feature.add_note("sequencing did not capture all intervals comprising CDS") # Filter out invalid intervals for CDS features if feature.type == "CDS" and len(remapped_locations) > 0: filtered_locations = [] seen_positions = set() for loc in remapped_locations: start_pos = int(loc.start.position) end_pos = int(loc.end.position) interval_key = (min(start_pos, end_pos), max(start_pos, end_pos)) # Skip duplicate or single-base intervals if interval_key not in seen_positions and start_pos != end_pos: filtered_locations.append(loc) seen_positions.add(interval_key) else: # Mark that we dropped an interval intervals_dropped = True # If we filtered out intervals, add note if intervals_dropped and len(filtered_locations) < len(remapped_locations): if not any(q.qualifier_key == "note" and "sequencing did not capture" in q.qualifier_value for q in feature.qualifiers): feature.add_note("sequencing did not capture all intervals comprising CDS") remapped_locations = filtered_locations feature.locations = remapped_locations # Drop CDS features with insufficient total length if feature.type == "CDS" and len(remapped_locations) > 0: total_length = sum(abs(int(loc.end.position) - int(loc.start.position)) + 1 for loc in remapped_locations) if total_length < 3: # Less than one codon feature.locations = [] # Drop multi-interval features with internal partial symbols # Per NCBI spec, < only valid at 5' end, > only at 3' end of entire feature # Issue #74: table2asn rejects "Feature's location has internal partials" if len(feature.locations) > 1: has_internal_partial = False for i, loc in enumerate(feature.locations): is_first = (i == 0) is_last = (i == len(feature.locations) - 1) # Check for partial symbols on non-terminal intervals # < should only appear on the first interval's start if loc.start.location_operator == '<' and not is_first: has_internal_partial = True # > should only appear on the last interval's end if loc.end.location_operator == '>' and not is_last: has_internal_partial = True # Also check reversed cases for strand considerations if loc.start.location_operator == '>' and not is_last: has_internal_partial = True if loc.end.location_operator == '<' and not is_first: has_internal_partial = True if has_internal_partial: feature.locations = [] # Drop the entire feature def lines(self, exclude_patterns=None): yield ">Feature {refID}".format(refID=self.refID) for feature in self.features: for l in feature.lines: if not exclude_patterns: yield l else: if not any(re.search(pattern, str(l)) for pattern in exclude_patterns): yield l ================================================ FILE: src/viral_ngs/phylo/feature_table_types.py ================================================ #!/usr/bin/env python # This is intended to assist with parsing Sequin-format feature tables. # # Note: Molecule scope, Organism scope, and qualifier conditions are not currently included here # Definitions and comments adapted from INSDC documentation. # # see the feature table key reference: # https://www.insdc.org/documents/feature-table#7.2 # https://www.ncbi.nlm.nih.gov/Sequin/table.html ft_types = { "assembly_gap":{ # Definition gap between two components of a genome or transcriptome assembly; "mandatory_qualifiers":["estimated_length","gap_type","linkage_evidence"] # Comment the location span of the assembly_gap feature for an unknown gap has # to be specified by the submitter; the specified gap length has to be # reasonable (less or = 1000) and will be indicated as "n"'s in sequence. # However, the value for the estimated_length of assembly_gap features # within a single (non-CON) transcriptome record must be an integer # and can not be "unknown"; }, "C_region":{ # Definition constant region of immunoglobulin light and heavy # chains, and T-cell receptor alpha, beta, and gamma # chains; includes one or more exons depending on the # particular chain "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "CDS":{ # Definition coding sequence; sequence of nucleotides that # corresponds with the sequence of amino acids in a # protein (location includes stop codon); # feature includes amino acid conceptual translation. "optional_qualifiers":[ "allele", "artificial_location", "citation", "codon_start", "db_xref", "EC_number", "exception", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "number=unquoted text (single token)", "old_locus_tag", "operon", "product", "protein_id", "pseudo", "pseudogene", "ribosomal_slippage", "standard_name", "translation", "transl_except=(pos:,aa:)", "transl_table ", "trans_splicing" ] # Comment codon_start has valid value of 1 or 2 or 3, indicating # the offset at which the first complete codon of a coding # feature can be found, relative to the first base of # that feature; # "transl_table defines the genetic code table used if", # other than the universal genetic code table; # genetic code exceptions outside the range of the specified # tables is reported in /transl_except qualifier; # "protein_id consists of a stable ID portion (3+5 format", # with 3 position letters and 5 numbers) plus a version # number after the decimal point; when the protein # sequence encoded by the CDS changes, only the version # number of the /protein_id value is incremented; the # stable part of the /protein_id remains unchanged and as # a result will permanently be associated with a given # protein; }, "centromere":{ # Definition region of biological interest identified as a centromere and # which has been experimentally characterized; "optional_qualifiers":[ "citation", "db_xref", "experiment", "inference", "note", "standard_name" ] # Comment the centromere feature describes the interval of DNA # that corresponds to a region where chromatids are held # and a kinetochore is formed }, "D-loop":{ # Definition displacement loop; a region within mitochondrial DNA in # which a short stretch of RNA is paired with one strand # of DNA, displacing the original partner DNA strand in # this region; also used to describe the displacement of a # region of one strand of duplex DNA by a single stranded # invader in the reaction catalyzed by RecA protein "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag" ] }, "D_segment":{ # Definition Diversity segment of immunoglobulin heavy chain, and # T-cell receptor beta chain; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "exon":{ # Definition region of genome that codes for portion of spliced mRNA, # rRNA and tRNA; may contain 5'UTR, all CDSs and 3' UTR; "optional_qualifiers":[ "allele", "citation", "db_xref", "EC_number", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "number=unquoted text (single token)", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name", "trans_splicing" ] }, "gap":{ # Definition gap in the sequence "mandatory_qualifiers":[ "estimated_length" ], "optional_qualifiers":[ "experiment", "inference", "map", "note" ] # Comment the location span of the gap feature for an unknown # gap is 100 bp, with the 100 bp indicated as 100 "n"'s in # the sequence. Where estimated length is indicated by # an integer, this is indicated by the same number of # "n"'s in the sequence. # No upper or lower limit is set on the size of the gap. }, "gene":{ # Definition region of biological interest identified as a gene # and for which a name has been assigned; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "product", "pseudo", "pseudogene", "phenotype", "standard_name", "trans_splicing" ] # Comment the gene feature describes the interval of DNA that # corresponds to a genetic trait or phenotype; the feature is, # by definition, not strictly bound to it's positions at the # ends; it is meant to represent a region where the gene is # located. }, "iDNA":{ # Definition intervening DNA; DNA which is eliminated through any of # several kinds of recombination; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "number=unquoted text (single token)", "old_locus_tag", "standard_name" ] # Comment e.g., in the somatic processing of immunoglobulin genes. }, "intron":{ # Definition a segment of DNA that is transcribed, but removed from # within the transcript by splicing together the sequences # (exons) on either side of it; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "number=unquoted text (single token)", "old_locus_tag", "pseudo", "pseudogene", "standard_name", "trans_splicing" ] }, "J_segment":{ # Definition joining segment of immunoglobulin light and heavy # chains, and T-cell receptor alpha, beta, and gamma # chains; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "mat_peptide":{ # Definition mature peptide or protein coding sequence; coding # sequence for the mature or final peptide or protein # product following post-translational modification; the # location does not include the stop codon (unlike the # corresponding CDS); "optional_qualifiers":[ "allele", "citation", "db_xref", "EC_number", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "misc_binding":{ # Definition site in nucleic acid which covalently or non-covalently # binds another moiety that cannot be described by any # other binding key (primer_bind or protein_bind); "mandatory_qualifiers":["bound_moiety"], "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag" ] # Comment note that feature key regulatory with /regulatory_class # should be used for ribosome binding sites. }, "misc_difference":{ # Definition feature sequence is different from that presented # in the entry and cannot be described by any other # difference key (old_sequence, variation, or modified_base); "optional_qualifiers":[ "allele", "citation", "clone", "compare", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map=", "note", "old_locus_tag", "phenotype", "replace", "standard_name" ] # Comment the misc_difference feature key should be used to # describe variability that arises as a result of # genetic manipulation (e.g. site directed mutagenesis); # use /replace="" to annotate deletion, e.g. # misc_difference 412..433 # "replace="" ", }, "misc_feature":{ # Definition region of biological interest which cannot be described # by any other feature key; a new or rare feature; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "number=unquoted text (single token)", "old_locus_tag", "phenotype", "product", "pseudo", "pseudogene", "standard_name" ] # Comment this key should not be used when the need is merely to # mark a region in order to comment on it or to use it in # another feature's location }, "misc_recomb":{ # Definition site of any generalized, site-specific or replicative # recombination event where there is a breakage and # reunion of duplex DNA that cannot be described by other # recombination keys or qualifiers of source key # (/proviral); "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "recombination_class", "standard_name" ] }, "misc_RNA":{ # Definition any transcript or RNA product that cannot be defined by # other RNA keys (prim_transcript, precursor_RNA, mRNA, # 5'UTR, 3'UTR, exon, CDS, sig_peptide, transit_peptide, # mat_peptide, intron, polyA_site, ncRNA, rRNA and tRNA); "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "product", "pseudo", "pseudogene", "standard_name", "trans_splicing" ] }, "misc_structure":{ # Definition any secondary or tertiary nucleotide structure or # conformation that cannot be described by other Structure # keys (stem_loop and D-loop); "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "standard_name" ] }, "mobile_element":{ # Definition region of genome containing mobile elements; "mandatory_qualifiers":["mobile_element_type"], "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "rpt_family", "rpt_type", "standard_name" ] }, "modified_base":{ # Definition the indicated nucleotide is a modified nucleotide and # should be substituted for by the indicated molecule # (given in the mod_base qualifier value) "mandatory_qualifiers":["mod_base"], "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "frequency", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag" ] # Comment value is limited to the restricted vocabulary for # modified base abbreviations; }, "mRNA":{ # Definition messenger RNA; includes 5'untranslated region (5'UTR), # coding sequences (CDS, exon) and 3'untranslated region # (3'UTR); "optional_qualifiers":[ "allele", "artificial_location", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "product", "pseudo", "pseudogene", "standard_name", "trans_splicing" ] }, "ncRNA":{ # Definition a non-protein-coding gene, other than ribosomal RNA and # transfer RNA, the functional molecule of which is the RNA # transcript; "mandatory_qualifiers":["ncRNA_class"], "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "product", "pseudo", "pseudogene", "standard_name", "trans_splicing" ] # Comment the ncRNA feature is not used for ribosomal and transfer # RNA annotation, for which the rRNA and tRNA feature keys # should be used, respectively; }, "N_region":{ # Definition extra nucleotides inserted between rearranged # immunoglobulin segments. "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "old_sequence":{ # Definition the presented sequence revises a previous version of the # sequence at this location; "mandatory_qualifiers":["citation", "compare"], "optional_qualifiers":[ "allele", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "replace" ] # Comment /replace="" is used to annotate deletion, e.g. # old_sequence 12..15 "replace="" ", # NOTE: This feature key is not valid in entries/records # created from 15-Oct-2007. }, "operon":{ # Definition region containing polycistronic transcript including a cluster of # genes that are under the control of the same regulatory sequences/promoter # and in the same biological pathway "mandatory_qualifiers":["operon"], "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "inference", "map", "note", "phenotype", "pseudo", "pseudogene", "standard_name" ] }, "oriT":{ # Definition origin of transfer; region of a DNA molecule where transfer is # initiated during the process of conjugation or mobilization "optional_qualifiers":[ "allele", "bound_moiety", "citation", "db_xref", "direction=value", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "rpt_family", "rpt_type", "rpt_unit_range", "rpt_unit_seq", "standard_name" ] # Comment rep_origin should be used for origins of replication; # "direction has legal values RIGHT, LEFT and BOTH, however only ", # RIGHT and LEFT are valid when used in conjunction with the oriT # feature; # origins of transfer can be present in the chromosome; # plasmids can contain multiple origins of transfer }, "polyA_site":{ # Definition site on an RNA transcript to which will be added adenine # residues by post-transcriptional polyadenylation; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag" ] }, "precursor_RNA":{ # Definition any RNA species that is not yet the mature RNA product; # may include ncRNA, rRNA, tRNA, 5' untranslated region # (5'UTR), coding sequences (CDS, exon), intervening # sequences (intron) and 3' untranslated region (3'UTR); "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "product", "standard_name", "trans_splicing" ] # Comment used for RNA which may be the result of # post-transcriptional processing; if the RNA in question # is known not to have been processed, use the # prim_transcript key. }, "prim_transcript":{ # Definition primary (initial, unprocessed) transcript; # may include ncRNA, rRNA, tRNA, 5' untranslated region # (5'UTR), coding sequences (CDS, exon), intervening # sequences (intron) and 3' untranslated region (3'UTR); "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "standard_name" ] }, "primer_bind":{ # Definition non-covalent primer binding site for initiation of # replication, transcription, or reverse transcription; # includes site(s) for synthetic e.g., PCR primer elements; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "standard_name", "PCR_conditions" ] # Comment used to annotate the site on a given sequence to which a primer # molecule binds - not intended to represent the sequence of the # primer molecule itself; PCR components and reaction times may # be stored under the "/PCR_conditions" qualifier; # since PCR reactions most often involve pairs of primers, # a single primer_bind key may use the order() operator # with two locations, or a pair of primer_bind keys may be # used. }, "propeptide":{ # Definition propeptide coding sequence; coding sequence for the domain of a # proprotein that is cleaved to form the mature protein product. "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "protein_bind":{ # Definition non-covalent protein binding site on nucleic acid; "mandatory_qualifiers":["bound_moiety"], "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "standard_name" ] # Comment note that feature key regulatory with /regulatory_class # should be used for ribosome binding sites. }, "regulatory":{ # Definition any region of sequence that functions in the regulation of # transcription, translation, replication or chromatin structure; "mandatory_qualifiers":["regulatory_class"], "optional_qualifiers":[ "allele", "bound_moiety", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "phenotype", "pseudo", "pseudogene", "standard_name" ] # Comment This feature has replaced the following Feature Keys on 15-DEC-2014: # enhancer, promoter, CAAT_signal, TATA_signal, -35_signal, -10_signal, # RBS, GC_signal, polyA_signal, attenuator, terminator, misc_signal. }, "repeat_region":{ # Definition region of genome containing repeating units; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "rpt_family", "rpt_type", "rpt_unit_range", "rpt_unit_seq", "satellite", "standard_name" ] }, "rep_origin":{ # Definition origin of replication; starting site for duplication of # nucleic acid to give two identical copies; "optional_qualifiers":[ "allele", "citation", "db_xref", "direction=value", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "standard_name" ] # Comment /direction has valid values: RIGHT, LEFT, or BOTH. }, "rRNA":{ # Definition mature ribosomal RNA; RNA component of the # ribonucleoprotein particle (ribosome) which assembles # amino acids into proteins. "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "product", "pseudo", "pseudogene", "standard_name" ] # Comment rRNA sizes should be annotated with the /product # qualifier. }, "S_region":{ # Definition switch region of immunoglobulin heavy chains; # involved in the rearrangement of heavy chain DNA leading # to the expression of a different immunoglobulin class # from the same B-cell; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "sig_peptide":{ # Definition signal peptide coding sequence; coding sequence for an # N-terminal domain of a secreted protein; this domain is # involved in attaching nascent polypeptide to the # membrane leader sequence; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "source":{ # Definition identifies the biological source of the specified span of # the sequence; this key is mandatory; more than one source # key per sequence is allowed; every entry/record will have, as a # minimum, either a single source key spanning the entire # sequence or multiple source keys, which together, span the # entire sequence. "mandatory_qualifiers":["organism","mol_type"], "optional_qualifiers":[ "altitude", "bio_material", "cell_line", "cell_type", "chromosome", "citation", "clone", "clone_lib", "collected_by", "collection_date", "country", "cultivar", "culture_collection", "db_xref", "dev_stage", "ecotype", "environmental_sample", "focus", "germline", "haplogroup", "haplotype", "host", "identified_by", "isolate", "isolation_source", "lab_host", "lat_lon", "macronuclear", "map", "mating_type", "note", "organelle", "PCR_primers", "plasmid", "pop_variant", "proviral", "rearranged", "segment", "serotype", "serovar", "sex", "specimen_voucher", "strain", "sub_clone", "submitter_seqid", "sub_species", "sub_strain", "tissue_lib", "tissue_type", "transgenic", "type_material", "variety" ] # Comment transgenic sequences must have at least two source feature # keys; in a transgenic sequence the source feature key # describing the organism that is the recipient of the DNA # must span the entire sequence; # see Appendix III /organelle for a list of }, "stem_loop":{ # Definition hairpin; a double-helical region formed by base-pairing # between adjacent (inverted) complementary sequences in a # single strand of RNA or DNA. "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "standard_name" ] }, "STS":{ # Definition sequence tagged site; short, single-copy DNA sequence # that characterizes a mapping landmark on the genome and # can be detected by PCR; a region of the genome can be # mapped by determining the order of a series of STSs; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "standard_name", ] # Comment STS location to include primer(s) in primer_bind key or # primers. }, "telomere":{ # Definition region of biological interest identified as a telomere # and which has been experimentally characterized; "optional_qualifiers":[ "citation", "db_xref", "experiment", "inference", "note", "rpt_type", "rpt_unit_range", "rpt_unit_seq", "standard_name" ] # Comment the telomere feature describes the interval of DNA # that corresponds to a specific structure at the end of # the linear eukaryotic chromosome which is required for # the integrity and maintenance of the end; this region # is unique compared to the rest of the chromosome and # represent the physical end of the chromosome; }, "tmRNA":{ # Definition transfer messenger RNA; tmRNA acts as a tRNA first, # and then as an mRNA that encodes a peptide tag; the # ribosome translates this mRNA region of tmRNA and attaches # the encoded peptide tag to the C-terminus of the # unfinished protein; this attached tag targets the protein for # destruction or proteolysis; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name", "tag_peptide" ] }, "transit_peptide":{ # Definition transit peptide coding sequence; coding sequence for an # N-terminal domain of a nuclear-encoded organellar # protein; this domain is involved in post-translational # import of the protein into the organelle; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "tRNA":{ # Definition mature transfer RNA, a small RNA molecule (75-85 bases # long) that mediates the translation of a nucleic acid # sequence into an amino acid sequence; "optional_qualifiers":[ "allele", "anticodon=(pos:,aa:,seq:)", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "operon", "product", "pseudo", "pseudogene", "standard_name", "trans_splicing" ] }, "unsure":{ # Definition a small region of sequenced bases, generally 10 or fewer in its length, which # could not be confidently identified. Such a region might contain called bases # (A, T, G, or C), or a mixture of called-bases and uncalled-bases ('N'). # The unsure feature should not be used when annotating gaps in genome assemblies. # Please refer to assembly_gap feature for gaps within the sequence of an assembled # genome. For annotation of gaps in other sequences than assembled genomes use the # gap feature. "optional_qualifiers":[ "allele", "citation", "compare", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "replace" ] # Comment use /replace="" to annotate deletion, e.g. # unsure 11..15 "replace="" ", }, "V_region":{ # Definition variable region of immunoglobulin light and heavy # chains, and T-cell receptor alpha, beta, and gamma # chains; codes for the variable amino terminal portion; # can be composed of V_segments, D_segments, N_regions, # and J_segments; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name", ] }, "V_segment":{ # Definition variable segment of immunoglobulin light and heavy # chains, and T-cell receptor alpha, beta, and gamma # chains; codes for most of the variable region (V_region) # and the last few amino acids of the leader peptide; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "product", "pseudo", "pseudogene", "standard_name" ] }, "variation":{ # Definition a related strain contains stable mutations from the same # gene (e.g., RFLPs, polymorphisms, etc.) which differ # from the presented sequence at this location (and # possibly others); "optional_qualifiers":[ "allele", "citation", "compare", "db_xref", "experiment", "frequency", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "phenotype", "product", "replace", "standard_name" ] # Comment used to describe alleles, RFLP's,and other naturally occurring # mutations and polymorphisms; variability arising as a result # of genetic manipulation (e.g. site directed mutagenesis) should # be described with the misc_difference feature; # use /replace="" to annotate deletion, e.g. }, "3'UTR":{ # Definition 1) region at the 3' end of a mature transcript (following # the stop codon) that is not translated into a protein; # 2) region at the 3' end of an RNA virus (following the last stop # codon) that is not translated into a protein; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "standard_name", "trans_splicing" ] }, "5'UTR":{ # Definition 1) region at the 5' end of a mature transcript (preceding # the initiation codon) that is not translated into a protein; # 2) region at the 5' end of an RNA virus genome (preceding the first # initiation codon) that is not translated into a protein; "optional_qualifiers":[ "allele", "citation", "db_xref", "experiment", "function", "gene", "gene_synonym", "inference", "locus_tag", "map", "note", "old_locus_tag", "standard_name", "trans_splicing" ] } } ================================================ FILE: src/viral_ngs/phylo/genbank.py ================================================ #!/usr/bin/python # built-ins import time import os import re import logging # third-party from Bio import Entrez log = logging.getLogger(__name__) def parse_accession_str(chr_ref): ''' This tries to match an NCBI accession as defined here: http://www.ncbi.nlm.nih.gov/Sequin/acc.html ''' m = re.search(r"(?P(?:[a-zA-Z]{1,6}|NC_)\d{1,10})(?:\.(?P\d+))?.*", chr_ref) if m: chr_ref = m.group("accession") return chr_ref def get_feature_table_id(featureTableFile): with open(featureTableFile, 'rt') as inf: for line in inf: line = line.rstrip('\r\n') if not line: pass elif line.startswith('>'): # sequence identifier if not line.startswith('>Feature '): raise Exception("not sure how to handle a non-Feature record") seqid = line[len('>Feature '):].strip() if not ( (seqid.startswith('gb|') or seqid.startswith('ref|') or seqid.startswith('emb|') or seqid.startswith('dbj|'))): raise Exception("reference annotation ID does not appear to refer to a GenBank, RefSeq, EMBL, or DDBJ accession: %s" % seqid) m = re.search(r"(?P(?:gb|ref|emb|dbj))\|(?:(?P[a-zA-Z0-9\._]+))+.*", seqid) if m: seqid = m.group("accession") else: raise Exception("Error parsing accession: %s" % seqid) return seqid def _seq_chunks(seq, n): # http://stackoverflow.com/a/312464/190597 (Ned Batchelder) """ Yield successive n-sized chunks from seq.""" for i in range(0, len(seq), n): yield seq[i:i + n] def _fetch_from_nuccore(accessionList, destinationDir, emailAddress, forceOverwrite=False, rettype="fasta", retmode="text", fileExt=None, combinedFilePrefix=None, removeSeparateFiles=False, chunkSize=1, api_key=None): """ This function downloads and saves files from NCBI nuccore. """ db = "nuccore" Entrez.email = emailAddress if api_key is not None: Entrez.api_key = api_key Entrez.tool = "https://github.com/broadinstitute/viral-ngs" maxChunkSize = 500 # Conform to NCBI retreival guidelines by chunking into 500-accession chunks if # >500 accessions are specified and chunkSize is set to 1 # Also clamp chunk size to 500 if the user specified a larger value. if chunkSize > maxChunkSize or (len(accessionList) > maxChunkSize and chunkSize == 1): chunkSize = maxChunkSize outEx = {"fasta": "fasta", "ft": "tbl", "gb": "gbk"} assert rettype in outEx.keys( ), "The return type requested, %s, is not compatible with the nuccore fetch." % rettype outputDirectory = os.path.abspath(os.path.expanduser(destinationDir)) if not os.path.exists(outputDirectory): os.makedirs(outputDirectory) # if the file extension to use is specified as the fileExt arg, use it # otherwise, use the default for the rettype according to the outEx dict, # falling back to the retmode if there is no match if not fileExt: outputExtension = outEx.get(rettype, retmode) else: outputExtension = str(fileExt) # ensure the extension starts with a ".", also allowing for passed-in # extensions that already have it if outputExtension[:1] != ".": outputExtension = "." + outputExtension log.info("Fetching %s entries from GenBank: %s\n", str(len(accessionList)), ", ".join(accessionList[:10])) outputFiles = [] for chunkNum, chunk in enumerate(_seq_chunks(accessionList, chunkSize)): accString = ",".join(chunk) # if the filename would be longer than Linux allows, simply say "chunk-chunkNum" if len(accString) + len(outputExtension) <= 254: outputFilePath = os.path.join(outputDirectory, accString + outputExtension) else: outputFilePath = os.path.join(outputDirectory, "chunk-{}".format(chunkNum) + outputExtension) if not forceOverwrite: log.info("not overwriting, checking for existence") assert not os.path.exists(outputFilePath), """File %s already exists. Consider removing this file or specifying a different output directory. The files for the accessions specified can be overwritten if you add --forceOverwrite flag. Processing aborted.""" % outputFilePath tryCount = 1 while True: try: log.info("Fetching file %s: %s, try #%s", chunkNum + 1, accString, tryCount) handle = Entrez.efetch(db=db, rettype=rettype, id=accString) with open(outputFilePath, "w") as outf: for line in handle: outf.write(line) outputFiles.append(outputFilePath) except IOError: log.warning( "Error fetching file %s: %s, try #%s probably because NCBI is too busy.", chunkNum + 1, accString, tryCount) tryCount += 1 if tryCount > 4: log.warning("Tried too many times. Aborting.") raise # if the fetch failed, wait a few seconds and try again. log.info("Waiting and retrying...") time.sleep(2) continue break # assert that we are not trying to remove the intermediate files without writing a combined file if removeSeparateFiles: assert combinedFilePrefix, """The intermediate files can only be removed if a combined file is written via --combinedFilePrefix""" # build a path to the combined genome file if combinedFilePrefix: concatenatedGenomeFilepath = os.path.join(outputDirectory, combinedFilePrefix + outputExtension) if not forceOverwrite: assert not os.path.exists(concatenatedGenomeFilepath), """File %s already exists. Consider removing this file or specifying a different output directory. The files for the accessions specified can be overwritten if you add --forceOverwrite flag. Processing aborted.""" % outputFilePath # concatenate the files together into one genome file with open(concatenatedGenomeFilepath, 'w') as outfile: for filePath in outputFiles: with open(filePath) as infile: for line in infile: outfile.write(line) # if the option is specified, remove the intermediate fasta files if removeSeparateFiles: while len(outputFiles) > 0: os.unlink(outputFiles.pop()) # add the combined file to the list of files returned outputFiles.append(concatenatedGenomeFilepath) # return list of files return outputFiles def fetch_fastas_from_genbank( accessionList, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, removeSeparateFiles, fileExt=None, rettype="fasta", retmode="text", chunkSize=1, api_key=None): return _fetch_from_nuccore( accessionList, destinationDir, emailAddress, forceOverwrite, rettype, retmode, fileExt, combinedFilePrefix, removeSeparateFiles, chunkSize, api_key=api_key) def fetch_feature_tables_from_genbank( accessionList, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, removeSeparateFiles, fileExt=None, rettype="ft", retmode="text", chunkSize=1, api_key=None): return _fetch_from_nuccore( accessionList, destinationDir, emailAddress, forceOverwrite, rettype, retmode, fileExt, combinedFilePrefix, removeSeparateFiles, chunkSize, api_key=api_key) def fetch_full_records_from_genbank( accessionList, destinationDir, emailAddress, forceOverwrite, combinedFilePrefix, removeSeparateFiles, fileExt=None, rettype="gb", retmode="text", chunkSize=1, api_key=None): return _fetch_from_nuccore( accessionList, destinationDir, emailAddress, forceOverwrite, rettype, retmode, fileExt, combinedFilePrefix, removeSeparateFiles, chunkSize, api_key=api_key) ================================================ FILE: src/viral_ngs/phylo/mafft.py ================================================ ''' MAFFT - Multiple alignment program for amino acid or nucleotide sequences http://mafft.cbrc.jp/alignment/software/ ''' __author__ = "tomkinsc@broadinstitute.org" from Bio import SeqIO import logging from viral_ngs import core from viral_ngs.core import file from viral_ngs.core import misc import os import os.path import shutil import subprocess TOOL_NAME = "mafft" _log = logging.getLogger(__name__) class MafftTool(core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(MafftTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '--version']).decode('UTF-8').strip().split()[0] def __seqIdsAreAllUnique(self, filePath, inputFormat="fasta"): seqIds = [] with open(filePath, "r") as inFile: fastaFile = SeqIO.parse(inFile, inputFormat) seqIds = [x.id for x in fastaFile] # collapse like IDs using set() if len(seqIds) > len(set(seqIds)): raise LookupError( "Not all sequence IDs in input are unique for file: {}".format( os.path.basename(filePath) ) ) # pylint: disable=W0221 def execute( self, inFastas, outFile, localpair, globalpair, preservecase, reorder, outputAsClustal, maxiters, gapOpeningPenalty=None, offset=None, threads=None, verbose=True, retree=None ): inputFileName = "" tempCombinedInputFile = "" # get the full paths of input and output files in case the user has specified relative paths inputFiles = [] for f in inFastas: inputFiles.append(os.path.abspath(f)) outFile = os.path.abspath(outFile) # ensure that all sequence IDs in each input file are unique # (otherwise the alignment result makes little sense) # we can check before combining to localize duplications to a specific file for filePath in inputFiles: self.__seqIdsAreAllUnique(filePath) # if multiple fasta files are specified for input if len(inputFiles) > 1: # combined specified input files into a single temp FASTA file so MAFFT can read them tempFileSuffix = "" for filePath in inputFiles: tempFileSuffix += "__" + os.path.basename(filePath) tempCombinedInputFile = file.mkstempfname('__combined.{}'.format(tempFileSuffix)) with open(tempCombinedInputFile, "w") as outfile: for f in inputFiles: with open(f, "r") as infile: outfile.write(infile.read()) inputFileName = tempCombinedInputFile # if there is only one file specified, just use it else: inputFileName = inputFiles[0] # check that all sequence IDs in a file are unique self.__seqIdsAreAllUnique(inputFileName) # change the pwd, since the shell script that comes with mafft depends on the pwd # being correct pwdBeforeMafft = os.getcwd() os.chdir(os.path.dirname(self.install_and_get_path())) # build the MAFFT command tool_cmd = [self.install_and_get_path()] if not (retree or localpair or globalpair): tool_cmd.append("--auto") tool_cmd.extend(["--thread", "{}".format(misc.sanitize_thread_count(threads))]) if localpair and globalpair: raise Exception("Alignment type must be either local or global, not both.") if localpair: tool_cmd.append("--localpair") if not maxiters: maxiters = 1000 if globalpair: tool_cmd.append("--globalpair") if not maxiters: maxiters = 1000 if preservecase: tool_cmd.append("--preservecase") if reorder: tool_cmd.append("--reorder") if retree: tool_cmd.extend(["--retree", "{}".format(retree)]) if gapOpeningPenalty: tool_cmd.extend(["--op", "{penalty}".format(penalty=gapOpeningPenalty)]) if offset: tool_cmd.extend(["--ep", "{num}".format(num=offset)]) if not verbose: tool_cmd.append("--quiet") if outputAsClustal: tool_cmd.append("--clustalout") if maxiters: tool_cmd.extend(["--maxiterate", "{iters}".format(iters=maxiters)]) tool_cmd.append(inputFileName) _log.debug(' '.join(tool_cmd)) # run the MAFFT alignment with open(outFile, 'w') as outf: misc.run_and_save(tool_cmd, outf=outf) if len(tempCombinedInputFile): # remove temp FASTA file os.unlink(tempCombinedInputFile) # restore pwd os.chdir(pwdBeforeMafft) return outFile # pylint: enable=W0221 ================================================ FILE: src/viral_ngs/phylo/mummer.py ================================================ ''' The MUMMER aligner http://mummer.sourceforge.net/ ''' import logging from viral_ngs import core from viral_ngs.core import file from viral_ngs.core import misc import os import os.path import random import shutil import subprocess import Bio.SeqIO TOOL_NAME = "mummer" log = logging.getLogger(__name__) class MummerTool(core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(MummerTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-version']).decode('UTF-8').strip() def executable_path(self): exec_path = core.Tool.executable_path(self) if os.path.isdir(exec_path): return exec_path else: return os.path.dirname(exec_path) def execute(self, refFasta, qryFastas): toolCmd = [os.path.join(self.install_and_get_path(), 'mummer'), refFasta] + qryFastas log.debug(' '.join(toolCmd)) subprocess.check_call(toolCmd) def nucmer(self, refFasta, qryFasta, outDelta, extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None): if not outDelta.endswith('.delta'): raise Exception() outDelta = outDelta[:-6] toolCmd = [os.path.join(self.install_and_get_path(), 'nucmer'), '--prefix={}'.format(outDelta)] if extend is not None: if not extend: # default behavior is --extend # mummer4 no longer recognizes --extend and we should only # specify an argument here if we want non-default behavior toolCmd.append('--noextend') if breaklen is not None: toolCmd.extend(['--breaklen', str(breaklen)]) if maxgap is not None: toolCmd.extend(['--maxgap', str(maxgap)]) if minmatch is not None: toolCmd.extend(['--minmatch', str(minmatch)]) if mincluster is not None: toolCmd.extend(['--mincluster', str(mincluster)]) toolCmd.extend([refFasta, qryFasta]) log.debug(' '.join(toolCmd)) subprocess.check_call(toolCmd) def promer(self, refFasta, qryFasta, outDelta, extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None): if not outDelta.endswith('.delta'): raise Exception() outDelta = outDelta[:-6] toolCmd = [os.path.join(self.install_and_get_path(), 'promer'), '--prefix={}'.format(outDelta)] if extend is not None: if not extend: # default behavior is --extend # mummer4 no longer recognizes --extend and we should only # specify an argument here if we want non-default behavior toolCmd.append('--noextend') if breaklen is not None: toolCmd.extend(['--breaklen', str(breaklen)]) if maxgap is not None: toolCmd.extend(['--maxgap', str(maxgap)]) if minmatch is not None: toolCmd.extend(['--minmatch', str(minmatch)]) if mincluster is not None: toolCmd.extend(['--mincluster', str(mincluster)]) toolCmd.extend([refFasta, qryFasta]) log.debug(' '.join(toolCmd)) subprocess.check_call(toolCmd) def delta_filter(self, inDelta, outDelta): toolCmd = [os.path.join(self.install_and_get_path(), 'delta-filter'), '-q', inDelta] log.debug(' '.join(toolCmd)) with open(outDelta, 'w') as outf: subprocess.check_call(toolCmd, stdout=outf) def show_tiling(self, inDelta, outTiling, outFasta=None, circular=False, min_pct_id=None, min_contig_len=None, min_pct_contig_aligned=None, tab_delim=False, min_contig_coverage_diff=None): opts = [] if circular: opts.append('-c') if tab_delim: opts.append('-a') if min_pct_id is not None: opts.append('-i') opts.append(str(100.0 * min_pct_id)) if min_contig_len is not None: opts.append('-l') opts.append(str(min_contig_len)) if min_pct_contig_aligned is not None: opts.append('-v') opts.append(str(100.0 * min_pct_contig_aligned)) if min_contig_coverage_diff is not None: opts.append('-V') opts.append(str(100.0 * min_contig_coverage_diff)) toolCmd = [os.path.join(self.install_and_get_path(), 'show-tiling')] if outFasta: toolCmd = toolCmd + ['-p', outFasta] toolCmd = toolCmd + opts + [inDelta] log.debug(' '.join(toolCmd)) with open(outTiling, 'w') as outf: subprocess.check_call(toolCmd, stdout=outf) def trim_contigs(self, refFasta, contigsFasta, outFasta, aligner='nucmer', circular=False, extend=False, breaklen=None, min_pct_id=0.6, min_pct_contig_aligned=0.5, min_contig_len=200): ''' Align contigs with MUMmer and trim off the unused portions. ''' # run MUMmer to get best alignments if aligner=='nucmer': aligner = self.nucmer elif aligner=='promer': aligner = self.promer else: raise NameError() delta_1 = file.mkstempfname('.delta') delta_2 = file.mkstempfname('.delta') tiling = file.mkstempfname('.tiling') aligner(refFasta, contigsFasta, delta_1, extend=extend, breaklen=breaklen) self.delta_filter(delta_1, delta_2) self.show_tiling(delta_2, tiling, circular=circular, tab_delim=True, min_pct_id=min_pct_id, min_contig_len=min_contig_len, min_pct_contig_aligned=min_pct_contig_aligned) os.unlink(delta_1) os.unlink(delta_2) # get trim boundaries per contig seq_bounds = {} with open(tiling, 'rt') as inf: for line in inf: row = line.rstrip().split('\t') seq_bounds.setdefault(row[-1], [float('inf'), 0]) start = min(int(row[2]), int(row[3])) stop = max(int(row[2]), int(row[3])) seq_bounds[row[-1]][0] = min(seq_bounds[row[-1]][0], start) seq_bounds[row[-1]][1] = max(seq_bounds[row[-1]][1], stop) os.unlink(tiling) # trim contigs out = [] with open(contigsFasta, 'rt') as inf: for record in Bio.SeqIO.parse(inf, 'fasta'): if record.id in seq_bounds: seq = record.seq[seq_bounds[record.id][0]-1:seq_bounds[record.id][1]] record.seq = seq out.append(record) with open(outFasta, 'wt') as outf: Bio.SeqIO.write(out, outf, 'fasta') def scaffold_contigs(self, refFasta, contigsFasta, outFasta, aligner='nucmer', circular=False, extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None, min_contig_coverage_diff=0.0, min_pct_id=0.6, min_pct_contig_aligned=None, min_contig_len=200): ''' Use MUMmer's pseudomolecule feature to scaffold contigs onto a reference genome. ''' if aligner=='nucmer': aligner = self.nucmer elif aligner=='promer': aligner = self.promer else: raise NameError() delta_1 = file.mkstempfname('.delta') delta_2 = file.mkstempfname('.delta') tiling = file.mkstempfname('.tiling') aligner(refFasta, contigsFasta, delta_1, extend=extend, breaklen=breaklen, maxgap=maxgap, minmatch=minmatch, mincluster=mincluster) self.delta_filter(delta_1, delta_2) self.show_tiling(delta_2, tiling, outFasta=outFasta, circular=circular, min_pct_id=min_pct_id, min_contig_len=min_contig_len, min_contig_coverage_diff=min_contig_coverage_diff, min_pct_contig_aligned=min_pct_contig_aligned) os.unlink(delta_1) os.unlink(delta_2) os.unlink(tiling) def scaffold_contigs_custom(self, refFasta, contigsFasta, outFasta, outAlternateContigs=None, aligner='nucmer', extend=None, breaklen=None, maxgap=None, minmatch=None, mincluster=None, min_contig_coverage_diff=0.0, min_pct_id=0.6, min_pct_contig_aligned=None, min_contig_len=200, ambig_max_aligns=2, ambig_max_lens=1, ambig_max_frac=.01): ''' Re-implement a less buggy version of MUMmer's pseudomolecule feature to scaffold contigs onto a reference genome. ''' # create tiling path with nucmer/promer and show-tiling if aligner=='nucmer': aligner = self.nucmer elif aligner=='promer': aligner = self.promer raise NotImplementedError('we have not implemented a show-aligns file reader that works for protein alignments') else: raise NameError() delta_1 = file.mkstempfname('.delta') delta_2 = file.mkstempfname('.delta') tiling = file.mkstempfname('.tiling') aligner(refFasta, contigsFasta, delta_1, extend=extend, breaklen=breaklen, maxgap=maxgap, minmatch=minmatch, mincluster=mincluster) self.delta_filter(delta_1, delta_2) self.show_tiling(delta_2, tiling, tab_delim=True, min_pct_id=min_pct_id, min_contig_len=min_contig_len, min_contig_coverage_diff=min_contig_coverage_diff, min_pct_contig_aligned=min_pct_contig_aligned) os.unlink(delta_1) # load intervals into a FeatureSorter fs = misc.FeatureSorter() with file.open_or_gzopen(tiling, 'r') as inf: for line in inf: row = line.rstrip('\n\r').split('\t') c = row[11] start, stop = (int(row[0]), int(row[1])) alt_seq = (row[12], int(row[2]), int(row[3])) if stop1 not currently supported') n_tot = len(seqs[0]) n_unambig = list(map(n_diff_vals, *seqs)).count(1) return float(n_unambig) / float(n_tot or 1.0) # construct scaffolded sequence for this chromosome seq = [] for _, left, right, n_features, features in fs.get_intervals(c): # get all proposed sequences for this specific region alt_seqs = [] for consider_ambig_aligns in (False, True): for f in features: alt_seqs_f = alnReaders[(c, f[-1][0])].retrieve_alts_by_ref(left, right, aln_start=f[1], aln_stop=f[2]) if len(alt_seqs_f) == 1: alt_seqs.append(alt_seqs_f[0]) elif consider_ambig_aligns: if len(alt_seqs_f) <= ambig_max_aligns and n_diff_lens(alt_seqs_f) <= ambig_max_lens and \ frac_unambig(alt_seqs_f) > (1.0 - ambig_max_frac): alt_seqs.append(alt_seqs_f[0]) log.info("using ambiguous alignment to ref seq {} at [{},{}]".format(c, f[1], f[2])) else: log.warning("dropping ambiguous alignment to ref seq {} at [{},{}]".format(c, f[1], f[2])) if alt_seqs: # if have a non-unambiguous alignment, don't consider ambiguous ones break # pick the "right" one and glue together into a chromosome ranked_unique_seqs = contig_chooser(alt_seqs, right-left+1, "%s:%d-%d" % (c, left, right)) seq.append(ranked_unique_seqs[0]) # emit the "alternates" in a separate file if outAlternateContigs and len(ranked_unique_seqs) > 1: alternate_contigs.append((c, left, right, ranked_unique_seqs)) # write this chromosome to fasta file for line in file.fastaMaker([(str(c)+"_contigs_ordered_and_oriented", ''.join(seq))]): outf.write(line) # if alternate scaffolds exist, emit to output fasta file (if specified) if outAlternateContigs and alternate_contigs: log.info("emitting alternative scaffold sequences to {}".format(outAlternateContigs)) with open(outAlternateContigs, 'wt') as outf: for c, left, right, seqs in alternate_contigs: for line in file.fastaMaker([ ("{}:{}-{}_option_{}".format(c,left,right,i), s) for i,s in enumerate(seqs)]): outf.write(line) def align_one_to_one(self, refFasta, otherFasta, outFasta): ''' Take two sequences, align with nucmer, and produce an aligned-fasta file of the two based on show-aligns output. ''' # grab seq_ids (very inefficient, but whatever) ref_id = Bio.SeqIO.read(refFasta, 'fasta').id query_id = Bio.SeqIO.read(otherFasta, 'fasta').id # run nucmer delta_1 = file.mkstempfname('.delta') delta_2 = file.mkstempfname('.delta') self.nucmer(refFasta, otherFasta, delta_1) self.delta_filter(delta_1, delta_2) # run show-aligns aln_file = file.mkstempfname('.aligns') toolCmd = [os.path.join(self.install_and_get_path(), 'show-aligns'), '-r', delta_2, ref_id, query_id] log.debug(' '.join(toolCmd)) with open(aln_file, 'wt') as outf: subprocess.check_call(toolCmd, stdout=outf) alns = AlignsReader(aln_file, refFasta) # write fasta seqs = [[alns.seq_ids[0], []], [alns.seq_ids[1], []]] for a in alns.get_intervals(): seqs[0][1].append(a[6]) seqs[1][1].append(a[7]) seqs[0][1] = ''.join(seqs[0][1]) seqs[1][1] = ''.join(seqs[1][1]) file.makeFastaFile(seqs, outFasta) # cleanup for fn in (delta_1, delta_2, aln_file): os.unlink(fn) def contig_chooser(alt_seqs, ref_len, coords_debug=""): ''' Our little heuristic to choose an alternative sequence from a pile of alignments to a reference. Takes a list of strings (one string per contig). This method will choose a single sequence from the input: 1. if there are no alt_seqs, emit a stretch of Ns, same length as ref 2. if there is only one alt_seq, emit that one 3. if there are many alt_seqs, emit the most popular (if there is one) 4. otherwise, if there is a most popular sequence length (including the ref_len as one vote), filter the alt_seqs to those of the most popular length and emit the most popular sequence (if there is one), otherwise, choose randomly amongst the remainder 5. otherwise, choose randomly amongst the same-as-ref length sequences 6. or just choose randomly if there are no same-as-ref length sequences The output will be a list of unique strings, where the first string is the "chosen" sequence, and the remaining strings are the alternative sequences (in no particular order, but guaranteed to be unique). ''' if not alt_seqs: # no contigs align here, emit Ns of appropriate length new_seq = 'N' * ref_len other_seqs = [] elif len(alt_seqs) == 1: # only one contig aligns here new_seq = alt_seqs[0] other_seqs = [] else: # multiple contigs align here ranks = list(sorted(misc.histogram(alt_seqs).items(), key=lambda x:x[1], reverse=True)) other_seqs = list(s for s,n in ranks) if len(ranks)==1: # only one unique sequence exists new_seq = ranks[0][0] elif ranks[0][1]>ranks[1][1]: # clear winner: a most popular sequence exists new_seq = ranks[0][0] else: # multiple possible replacement sequences len_ranks = list(sorted(misc.histogram( [len(s) for s in alt_seqs] + [ref_len] # let the reference have one vote ).items(), key=lambda x:x[1], reverse=True)) if len(len_ranks)==1 or len_ranks[0][1]>len_ranks[1][1]: # a most popular replacement length exists # remove all alt_seqs that don't use that length alt_seqs = list(s for s in alt_seqs if len(s)==len_ranks[0][0]) assert alt_seqs ranks = list(sorted(misc.histogram(alt_seqs).items(), key=lambda x:x[1], reverse=True)) if len(ranks)==1 or ranks[0][1]>ranks[1][1]: # clear winner amongst remaining sequences of most popular length new_seq = ranks[0][0] else: # more complicated scenario. choose randomly. # perhaps in future, vote based on aligned read count? if len(alt_seqs)>1: log.warning("choosing random contig from %d choices of most popular length in %s" % (len(alt_seqs), coords_debug)) new_seq = random.choice(alt_seqs) else: # no clear winner on replacement length alt_ref_len_seqs = list(s for s in alt_seqs if len(s)==ref_len) if alt_ref_len_seqs: # choose randomly among same-as-ref-length sequences alt_seqs = alt_ref_len_seqs if len(alt_seqs)>1: log.warning("choosing random contig from %d choices of reference length in %s" % (len(alt_seqs), coords_debug)) new_seq = random.choice(alt_seqs) else: # no clear winner and all replacement lengths are different from reference length # just choose randomly if len(alt_seqs)>1: log.warning("choosing random contig from %d choices in %s" % (len(alt_seqs), coords_debug)) new_seq = random.choice(alt_seqs) other_seqs = list(s for s in other_seqs if s!=new_seq) return [new_seq] + other_seqs class AmbiguousAlignmentException(Exception): pass class AlignsReader(object): ''' This class assists in the parsing and reading of show-aligns output. ''' def __init__(self, aligns_file, ref_fasta=None): self.aligns_file = aligns_file self.ref_fasta = ref_fasta self.reference_seq = None self.alignments = [] self.seq_ids = [] self._load_align() self._load_fastas() def _load_align(self): with open(self.aligns_file, 'rt') as inf: # read ref_fasta, query_fasta from header header = inf.readline().strip().split() assert len(header) == 2 if self.ref_fasta is None: self.ref_fasta = header[0] # iterate row by row mode = 'start' coords = None seqs = None for line in inf: line = line.rstrip() if not line: pass # empty lines elif not line.strip('='): pass # header and footer of file elif line[0] in (' ', '\t'): pass # describes mismatches in alignment elif line.startswith('--'): if line.startswith('-- Alignments between '): assert mode == 'start' mode = 'between' self.seq_ids = line[22:].split(' and ') assert len(self.seq_ids) == 2 elif line.startswith('-- BEGIN alignment [ '): assert mode == 'between' mode = 'align' coords = list(x.split() for x in line[21:-2].split(' | ')) assert len(coords) == 2 and coords[0][2] == coords[1][2] == '-' assert coords[0][0] == '+1', "error with line: %s" % line seqs = [[], []] align_lines = 0 elif line.startswith('-- END alignment [ '): assert mode == 'align' mode = 'between' new_coords = list(x.split() for x in line[21:-2].split(' | ')) assert coords == new_coords, "error: %s != %s" % (new_coords, coords) assert len(seqs[0]) == len(seqs[1]) seqs = list(''.join(x) for x in seqs) assert len(seqs[0]) == len(seqs[1]) self.alignments.append([coords[0][0], int(coords[0][1]), int(coords[0][3]), coords[1][0], int(coords[1][1]), int(coords[1][3]), seqs[0], seqs[1]]) coords = None seqs = None else: raise AssertionError("file format: line '%s'" % line) else: # read in one line of an alignment assert mode == 'align', "file format: line '%s' before alignment begins" % line seq_str = line.split()[1].upper().replace('.','-') seqs[align_lines % 2].append(seq_str) align_lines += 1 def _load_fastas(self): assert self.ref_fasta and self.seq_ids self.reference_seq = Bio.SeqIO.index(self.ref_fasta, 'fasta')[self.seq_ids[0]] def get_alignments(self): for a in self.alignments: yield a def get_intervals(self): prev = None for a in self.alignments: cur = a[1:3] assert cur[1] >= cur[0] if prev is None: if cur[0] > 1: # emit leading reference sequence before first alignment yield self._dummy_row(1, cur[0]-1, '-') else: assert cur[0] > prev[1], "overlaps not allowed" if cur[0] > prev[1] + 1: # emit gap between alignments yield self._dummy_row(prev[1]+1, cur[0]-1, 'N') # emit actual alignment yield a prev = cur if prev and prev[1] < len(self.reference_seq): # emit trailing reference sequence after last alignment yield self._dummy_row(prev[1]+1, len(self.reference_seq), '-') def _dummy_row(self, start, stop, filler='N'): return ['+1', start, stop, '+1', start, stop, self.get_ref_seq(start, stop), filler * (stop-start+1)] def get_ref_seq(self, start, stop): ''' Retrieve a sub-sequence from the reference (1st) sequence in the alignment using coordinates relative to the reference sequence. No gaps will be emitted. ''' return str(self.reference_seq.seq[start-1:stop]) def retrieve_alts_by_ref(self, start, stop, aln_start=None, aln_stop=None): ''' Retrieve sub-sequence(s) from the alternate (2nd) sequence in the alignment using coordinates relative to the reference sequence. No gaps will be emitted. Required: start-stop interval must be wholly contained within an alignment. ''' # grab the one alignment that contains this window alns = list(a for a in self.alignments if a[1]<=start and a[2]>=stop) if aln_start is not None and aln_stop is not None: # if specified, restrict to a specific alignment that comes from show-tiling # (sometimes show-aligns is more promiscuous than show-tiling) new_alns = [] for a in alns: if a[1] > aln_start or a[2] < aln_stop: log.debug("dropping undesired alignment: %s(%s):%s-%s to %s(%s):%s-%s (%s:%s-%s requested)", self.seq_ids[0], a[0], a[1], a[2], self.seq_ids[1], a[3], a[4], a[5], self.seq_ids[0], aln_start, aln_stop) else: new_alns.append(a) alns = new_alns if len(alns) != 1: log.warning("invalid %s:%d-%d -> %s specified, %d alignments found that contain it", self.seq_ids[0], start, stop, self.seq_ids[1], len(alns)) for aln in alns: log.debug("alignment: %s", str(aln[:6])) return [self._aln_to_alt_seq(aln, start, stop) for aln in alns] def _aln_to_alt_seq(self, aln, start, stop): """Given an alignment of a contig to ref, return the contig sequence aligned to a given stretch of ref""" ref_l, ref_r, ref_seq, alt_seq = (aln[1], aln[2], aln[-2], aln[-1]) # convert desired start/stop relative to this reference window # such that 0 <= start <= stop <= ref_r-ref_l+1 aln_start = start - ref_l aln_stop = stop - ref_l # travel down alignment until we've reached the left edge # (because of gaps, you must check each position one by one) # end loop when ref_seq[:i_left] contains {aln_start} bases n_ref_bases = 0 i_left = 0 while n_ref_bases < aln_start: if ref_seq[i_left] != '-': n_ref_bases += 1 i_left += 1 # travel down alignment until we've reached the right edge # (because of gaps, you must check each position one by one) # end loop when ref_seq[:i_right] contains {aln_stop} bases i_right = i_left while n_ref_bases < aln_stop: if ref_seq[i_right] != '-': n_ref_bases += 1 i_right += 1 # consume and include any trailing gaps while i_right < len(ref_seq) and ref_seq[i_right] == '-': i_right += 1 # grab the alternate sequence and strip gaps return alt_seq[i_left:i_right+1].replace('-','') ================================================ FILE: src/viral_ngs/phylo/muscle.py ================================================ ''' The MUSCLE aligner http://www.drive5.com/muscle ''' from viral_ngs import core from viral_ngs.core import file from viral_ngs.core import misc import os import os.path import shutil import subprocess import logging TOOL_NAME = "muscle" _log = logging.getLogger(__name__) class MuscleTool(core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(MuscleTool, self).__init__(install_methods=install_methods) def version(self): if self.tool_version is None: self._get_tool_version() return self.tool_version def _get_tool_version(self): self.tool_version = subprocess.check_output([self.install_and_get_path(), '-version']).decode('UTF-8').strip().split()[1] # pylint: disable=W0221 def execute( self, inFasta, outFasta, maxiters=None, maxhours=None, fmt='fasta', diags=None, quiet=True, logFile=None ): tool_cmd = [self.install_and_get_path(), '-in', inFasta, '-out', outFasta] if fmt in ('html', 'msf', 'clw', 'clwstrict'): tool_cmd.append('-' + fmt) else: if fmt != 'fasta': raise Exception() if quiet: tool_cmd.append('-quiet') if diags: tool_cmd.append('-diags') if maxiters: tool_cmd.extend(('-maxiters', str(maxiters))) if maxhours: tool_cmd.extend(('-maxhours', str(maxhours))) if logFile: tool_cmd.extend(('-log', logFile)) _log.debug(' '.join(tool_cmd)) subprocess.check_call(tool_cmd) # pylint: enable=W0221 ================================================ FILE: src/viral_ngs/phylo/snpeff.py ================================================ ''' snpEff - a tool for annotating genetic consequences of variants in VCF format http://snpeff.sourceforge.net/ ''' # built-ins import hashlib import os import tempfile import logging import subprocess import shutil # third-party import pysam # module-specific from viral_ngs import core from viral_ngs.core import file from viral_ngs.core import misc from . import genbank _log = logging.getLogger(__name__) TOOL_NAME = 'snpEff' TOOL_VERSION = '5.1' class SnpEff(core.Tool): def __init__(self, install_methods=None, extra_genomes=None): self.jvmMemDefault = '4g' if not install_methods: install_methods = [core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] self.known_dbs = set() self.installed_dbs = set() super(SnpEff, self).__init__(install_methods=install_methods) def version(self): return TOOL_VERSION def execute(self, command, args, JVMmemory=None, stdin=None, stdout=None, stderr=None): # pylint: disable=W0221 if not JVMmemory: JVMmemory = self.jvmMemDefault # the conda version wraps the jar file with a shell script if self.install_and_get_path().endswith(".jar"): tool_cmd = [ 'java', '-Xmx' + JVMmemory, '-Djava.io.tmpdir=' + tempfile.gettempdir(), '-jar', self.install_and_get_path(), command ] + args else: tool_cmd = [ self.install_and_get_path(), '-Xmx' + JVMmemory, '-Djava.io.tmpdir=' + tempfile.gettempdir(), command ] + args _log.debug(' '.join(tool_cmd)) return misc.run_and_print(tool_cmd, stdin=stdin, stderr=stderr, buffered=True, silent=command in ("databases","build"), check=True) def has_genome(self, genome): if not self.known_dbs: for _ in self.available_databases(): pass return genome in self.installed_dbs def download_db(self, dbname, verbose=False): opts = [dbname] if verbose: opts.append('-v') self.execute('download', opts) self.known_dbs.add(dbname) self.installed_dbs.add(dbname) def create_db(self, accessions, emailAddress=None, JVMmemory=None): sortedAccessionString = ", ".join([genbank.parse_accession_str(acc) for acc in sorted(accessions)]) databaseId = hashlib.sha256(sortedAccessionString.encode('utf-8')).hexdigest()[:55] # if the database is not installed, we need to make it if not self.has_genome(databaseId): config_file = os.path.join(os.path.dirname(os.path.realpath(self.install_and_get_path())), 'snpEff.config') data_dir = get_data_dir(config_file) # if the data directory specified in the config is absolute, use it # otherwise get the data directory relative to the location of the config file if os.path.isabs(data_dir): outputDir = os.path.join(data_dir, databaseId) else: outputDir = os.path.realpath(os.path.join(os.path.dirname(config_file), data_dir, databaseId)) genbank.fetch_full_records_from_genbank( sorted(accessions), outputDir, emailAddress, forceOverwrite=True, combinedFilePrefix="genes", removeSeparateFiles=False ) # create a temp config file in the same location as the original # since the data dir for the built database has a relative # location by default tmp_config_file = config_file+".temp" # build a new snpEff database using the downloaded genbank file # Note that if the snpEff command fails for some reason, # we should take care to not include an entry for the database # in the config file, which is the record of installed databases. # In the event the build fails, the config file must reflect # databases present in the data_dir, otherwise calls to execute snpEff will # fail if the data_dir lacks databases for entries listed in the config file. # make a temp copy of the old config file shutil.copyfile(config_file, tmp_config_file) # add the new genome to the temp config file # since snpEff will not attempt to build unless the # database is in the config file add_genomes_to_snpeff_config_file(tmp_config_file, [(databaseId, sortedAccessionString, sortedAccessionString)]) try: args = ['-genbank', '-v', databaseId, "-c", tmp_config_file] self.execute('build', args, JVMmemory=JVMmemory) except: # remove temp config file if the database build failed shutil.unlink(tmp_config_file) raise # copy the temp config including the built database # if the execute('build') command did not raise an exception shutil.move(tmp_config_file, config_file) self.known_dbs.add(databaseId) self.installed_dbs.add(databaseId) def available_databases(self): # do not capture stderr, since snpEff writes 'Picked up _JAVA_OPTIONS' # which is not helpful for reading the stdout of the databases command with open(os.devnull, "wb") as devnull: command_ps = self.execute("databases", args=[], stderr=devnull) split_points = [] keys = ['Genome', 'Organism', 'Status', 'Bundle', 'Database'] self.installed_dbs = set() self.known_dbs = set() for line in command_ps.stdout.decode("utf-8").splitlines(): line = line.strip() if not split_points: if not line.startswith('Genome'): raise Exception() split_points = list(line.index(key) for key in keys) elif not line.startswith('----'): indexes = split_points + [len(line)] row = dict((keys[i], line[indexes[i]:indexes[i + 1]].strip()) for i in range(len(split_points))) self.known_dbs.add(row['Genome']) if row.get('Status') == 'OK': self.installed_dbs.add(row['Genome']) yield row def annotate_vcf(self, inVcf, genomes, outVcf, emailAddress=None, JVMmemory=None): """ Annotate variants in VCF file with translation consequences using snpEff. """ if outVcf.endswith('.vcf.gz'): tmpVcf = file.mkstempfname(prefix='vcf_snpEff-', suffix='.vcf') elif outVcf.endswith('.vcf'): tmpVcf = outVcf else: raise Exception("invalid input") sortedAccessionString = ", ".join([genbank.parse_accession_str(acc) for acc in sorted(genomes)]) databaseId = hashlib.sha256(sortedAccessionString.encode('utf-8')).hexdigest()[:55] genomeToUse = "" # if we don't have the genome, by name (snpEff official) or by hash (custom) if (not self.has_genome(databaseId)): if (not self.has_genome(genomes[0])): _log.info("Checking for snpEff database online...") # check to see if it is available for download, and if so install it for row in self.available_databases(): if (genomes[0].lower() in row['Genome'].lower()) or ( genomes[0].lower() in row['Bundle'].lower() ) or ( genomes[0].lower() in row['Organism'].lower() ): self.download_db(row['Genome']) # backward compatability for where a single genome name is provided if self.has_genome(genomes[0]): genomeToUse = genomes[0] else: # if the hash of the accessions passed in is not present in the genomes db if not self.has_genome(databaseId): self.create_db(genomes, emailAddress, JVMmemory) if self.has_genome(databaseId): genomeToUse = databaseId if not genomeToUse: raise Exception() args = [ '-treatAllAsProteinCoding', 'false', '-t', '-noLog', '-ud', '0', '-noStats', '-noShiftHgvs', genomeToUse, os.path.realpath(inVcf) ] command_ps = self.execute('ann', args, JVMmemory=JVMmemory) if command_ps.returncode == 0: with open(tmpVcf, 'wt') as outf: outf.write(command_ps.stdout.decode("utf-8")) if outVcf.endswith('.vcf.gz'): pysam.tabix_compress(tmpVcf, outVcf, force=True) pysam.tabix_index(outVcf, force=True, preset='vcf') os.unlink(tmpVcf) else: raise subprocess.CalledProcessError(cmd=command_ps.args, returncode=command_ps.returncode, output=command_ps.stdout) def get_data_dir(config_file): data_dir = "" with open(config_file, 'rt') as inf: for line in inf: if line.strip().startswith('data.dir'): data_dir = line[line.find("=") + 1:].strip() break return data_dir def add_genomes_to_snpeff_config_file(config_file, new_genomes): """ new_genomes is a 3-tuple (g,d,c): where g is the genome name d is the description c is a comma-separated list of chromosomes """ genomes = set() with open(config_file, 'rt') as inf: for line in inf: if not line.startswith('#') and line.strip(): i = line.find('.genome : ') if i >= 0: genomes.add(line[:i]) with open(config_file, 'at') as outf: for (g, d, c) in new_genomes: if g not in genomes: outf.write('{}.genome : {}\n'.format(g, d)) if g != c: outf.write("\t{}.chromosomes : {}\n".format(g, c)) ================================================ FILE: src/viral_ngs/phylo/vcf.py ================================================ '''This gives a number of useful quick methods for dealing with VCF files. ''' __author__ = "dpark@broadinstitute.org" __version__ = "PLACEHOLDER" __date__ = "PLACEHOLDER" import logging import re import pysam from viral_ngs.core import file from viral_ngs.core import misc from viral_ngs.assemble.vcf import parse_contig_header log = logging.getLogger(__name__) def make_intervals(i, n, fasta, chr_prefix='', verbose=False): ''' Divide a sorted genome into n equally sized parts and return the i'th part. We will return a list of intervals: chr, start, stop. It may contain multiple chromosomes in order to fill out a total length equal to the other parts. Each part will be adjacent and non-overlapping with the next part. i must be a number from 1 to n. ''' assert 1 <= i <= n # read genome dict file tot = 0 chrlens = [] for c, c_len in get_chrlens(fasta): if c.startswith(chr_prefix): chrlens.append((c, c_len, tot)) tot += c_len # define our chunk by gpos: part_size = tot // n g_start = 1 + part_size * (i - 1) g_stop = part_size * i if i == n: g_stop = tot # find the genomic intervals that correspond to our gpos window out = [] for c, c_len, c_g_start in chrlens: c_g_stop = c_g_start + c_len c_g_start += 1 if c_g_stop >= g_start and c_g_start <= g_stop: start = max(g_start, c_g_start) - c_g_start + 1 stop = min(g_stop, c_g_stop) - c_g_start + 1 out.append((c, start, stop)) if verbose: log.info( "Dividing the %d bp genome into %d chunks of %d bp each. The %dth chunk contains the following %d intervals: %s", tot, n, part_size, i, len(out), ', '.join(["%s:%d-%d" % x for x in out])) return out def sliding_windows(fasta, width, offset, chr_prefix=''): ''' Divide a genome into sliding windows and return as an iterator of intervals (chr, start, stop). The windows are of fixed width (except maybe the last window on each chromosome) and may overlap (offsetwidth). ''' assert width > 0 and offset > 0 for c, c_len in get_chrlens(fasta): if c.startswith(chr_prefix): start = 1 while start <= c_len: stop = min(c_len, start + width - 1) yield (c, start, stop) start += offset class GenomePosition(object): ''' Provide a mapping from chr:pos to genomic position. Read chromosome lengths and order from either a Picard/GATK-index for a FASTA file (a .dict file) or from a VCF header. ''' def __init__(self, seqDb): self.gpos_map = {} self.clen_map = {} self.chrs = [] totlen = 0 for c, clen in get_chrlens(seqDb): self.chrs.append((c, clen)) self.gpos_map[c] = totlen self.clen_map[c] = clen totlen += clen self.total = totlen def get_gpos(self, c, p): assert isinstance(p, int) assert c in self.gpos_map assert 1 <= p <= self.clen_map[c] return p + self.gpos_map[c] def get_chr_pos(self, gpos): assert isinstance(gpos, int) assert 1 <= gpos <= self.total totlen = 0 for c, clen in self.chrs: if gpos <= totlen + clen: break totlen += clen return (c, gpos - totlen) def get_chrlens(inFile): ''' Read chromosome lengths and order from either a Picard/GATK-index for a FASTA file (a .dict file) or from "contig" rows in the VCF header. ''' chrlens = [] if hasattr(inFile, 'chrlens'): chrlens = inFile.chrlens() else: if inFile.endswith('.fasta'): inFile = inFile[:-len('.fasta')] + '.dict' elif inFile.endswith('.fa'): inFile = inFile[:-len('.fa')] + '.dict' if inFile.endswith('.dict'): with open(inFile, 'rt') as inf: for line in inf: row = line.rstrip('\n').split('\t') if row[0] == '@SQ': assert row[1].startswith('SN:') and row[2].startswith('LN:') c = row[1][3:] c_len = int(row[2][3:]) chrlens.append((c, c_len)) elif inFile.endswith('.vcf') or inFile.endswith('.vcf.gz'): with file.open_or_gzopen(inFile, 'rt') as inf: for line in inf: line = line.rstrip('\n') if line.startswith('##contig='): chrlens.append(parse_contig_header(line)) elif line.startswith('#CHROM'): break else: raise AssertionError("unrecognized file type %s" % inFile) assert chrlens, "no sequence data found in %s % inFile" return chrlens def calc_maf(genos, ancestral=None, ploidy=1): # get list of alleles if ploidy == 1: alleles = genos else: alleles = [] for g in genos: g = g.split('/') assert len(g) == ploidy alleles += g # count up out = {'n_tot': len(alleles)} acounts = misc.histogram(alleles) alist = sorted([(n, a) for a, n in acounts.items()]) # daf if ancestral is not None: out['a_ancestral'] = ancestral derived = list(sorted([a for a in acounts.keys() if a != ancestral])) out['a_derived'] = ','.join(derived) out['dac'] = sum(acounts[a] for a in derived) out['daf'] = out['n_tot'] and float(out['dac']) / out['n_tot'] or None # maf if out['n_tot']: out['a_major'] = alist[-1][1] out['a_minor'] = ','.join([a for n, a in alist[:-1]]) out['mac'] = out['n_tot'] - alist[-1][0] out['maf'] = float(out['mac']) / out['n_tot'] else: out['a_major'] = None out['a_minor'] = None out['mac'] = None out['maf'] = None return out class TabixReader(pysam.TabixFile): ''' A wrapper around pysam.TabixFile that provides a context and allows us to query using 1-based coordinates. We should request upstream to the Pysam people to implement methods __reversed__() and __len__() in pysam.TabixIterator. __getitem__ could be a bonus, but prob unnecessary. ''' def __init__(self, inFile, parser=pysam.asTuple()): # inFile is passed in but is never used, and yet the TabixReader works. How?! # This inFile magic is because Tabixfile is a Cython object that uses def __cinit__ # rather than def __init__; the former is called automatically exactly once for the # base class prior to any use of __init__. Use of subsequent __init__ should obey # normal inheritance rules (assuming inheritance from object and it's not an old-style class). # So __cinit__ sets the input file, and then our __init__ (which doesn't override a base method) # is called and sets the parser. # This could all break in the future if pysam moves away from __cinit__, but doing so would # reduce performance and so it seems unlikely. # See: # https://github.com/cython/cython/blob/master/docs/src/userguide/special_methods.rst#id19 # https://github.com/pysam-developers/pysam/blob/master/pysam/libctabix.pyx#L331 #super(TabixReader, self).__init__(inFile, parser=parser) self.parser = parser def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() # pylint: disable=E1101 return 0 # close() is being inherited from pysam.Tabixfile, why call it ourselves? # def close(self): # super(TabixReader, self).close() def chroms(self): return self.contigs # pylint: disable=E1101 def get(self, chrom=None, start=None, stop=None, region=None): if start is not None: start -= 1 return self.fetch(reference=chrom, start=start, end=stop, region=region, parser=self.parser) # pylint: disable=E1101 def get_pos_from_vcf_record(vcfrec): # new versions of pysam return a zero-based position here return vcfrec.pos + 1 def bytes_to_string(o): if isinstance(o, bytes): o = o.decode('utf-8') return o class VcfReader(TabixReader): ''' Same as TabixReader with a few more perks for VCF files: - emit results parsed as pysam VCF rows - provide self.chrlens(), a dict mapping chrom name to chrom length - provide self.samples(), a list of sample names in order of appearance - provide get_range(c,start,stop) and get_snp_genos(c,pos) ''' def __init__(self, inFile, ploidy=1, parser=pysam.asVCF()): # using old-style class superclass calling here # since TabixReader is derived from pysam.TabixFile # which is itself an old-style class (due to Cython version?) TabixReader.__init__(self, inFile, parser=parser) # when pysam uses new-style classes, we can replace with: #super(VcfReader, self).__init__(inFile, parser=parser) assert ploidy in (1, 2) self.ploidy = ploidy self.clens = [] self.sample_names = None for line in self.header: # pylint: disable=E1101 line = bytes_to_string(line) if line.startswith('##contig='): self.clens.append(parse_contig_header(line)) elif line.startswith('#CHROM'): row = line.split('\t') self.sample_names = row[9:] self.clens = dict(self.clens) assert self.sample_names def samples(self): return self.sample_names def chrlens(self): return self.clens def get_positions(self, c=None, start=None, stop=None, region=None): for snp in self.get(c, start, stop, region): yield (bytes_to_string(snp.contig), get_pos_from_vcf_record(snp), get_pos_from_vcf_record(snp) + len(snp.ref) - 1) def get_range(self, c=None, start=None, stop=None, region=None, as_strings=True, more=False): ''' Read a VCF file (optionally just a piece of it) and return contents as an iterator with parsed contents. Each row is returned as a 4-tuple: 1: chr 2: pos (int) 3: list of allele strings (in order) 4: list of genotypes as 2-tuples: haploid: (sample, allele) diploid: (sample, [allele, allele]) If as_strings, the alleles will be actual alleles. Otherwise, alleles will be integers. If more is true, a fifth column will be emitted with the pysam VCF object. ''' for snp in self.get(c, start, stop, region): alleles = [bytes_to_string(snp.ref)] + bytes_to_string(snp.alt).split(',') alleles = [a for a in alleles if a != '.'] if self.ploidy == 1: genos = [(self.sample_names[i], int(bytes_to_string(snp[i])[0])) for i in range(len(self.sample_names)) if bytes_to_string(snp[i])[0] != '.'] if as_strings: genos = [(s, alleles[a]) for s, a in genos] else: genos = [(self.sample_names[i], [int(bytes_to_string(snp[i])[j * 2]) for j in range(self.ploidy)]) for i in range(len(self.sample_names)) if bytes_to_string(snp[i])[0] != '.'] if as_strings: genos = [(s, [alleles[a] for a in g]) for s, g in genos] if more: yield (bytes_to_string(snp.contig), get_pos_from_vcf_record(snp), alleles, genos, snp) else: yield (bytes_to_string(snp.contig), get_pos_from_vcf_record(snp), alleles, genos) def get_snp_genos(self, c, p, as_strings=True): ''' Read a single position from a VCF file and return the genotypes as a sample -> allele map. If there is not exactly one matching row in the VCF file at this position (if there are none or multiple) then we return an empty map: {}. ''' snps = [x for x in self.get_range(c, p, p, as_strings=as_strings)] return len(snps) == 1 and dict(snps[0][3]) or {} def getFullSequences(self, c, start, stop, samples, na='-', refSeq=None, refInvariantsOnly=False, ignoreIndels=False): ''' chr - chromosome name start - start position stop - default = start samples is a list of samples. None can be used for the ref sample. if refSeq is a string with length = stop-start+1, then use this as the base sequence for missing data, otherwise, use the na string. if refInvariantsOnly is True, refSeq is only used for invariant sites or sites with no entries for any samples. if False, refSeq is used for all missing data. ''' assert 1 <= start <= stop assert len(na) == 1 # get all the VCF records vcf_records = [(p - start, alleles, dict(genos)) for _, p, alleles, genos in self.get_range(c, start, stop, as_strings=True) if not ignoreIndels or set(map(len, alleles)) == set([1])] # Construct a list called "seq" into which we will replace alleles as # we discover them. This is a list, not a string, because each position # might be replaced with an arbitrary length string (deletions will be # empty strings, insertions will be strings > length 1). This all gets # converted to a string at the end. if refSeq: # assume refSeq alleles as a baseline for missing data assert len(refSeq) == (stop - start + 1) seq = list(refSeq) if refInvariantsOnly: # but don't assume refSeq alleles for any known variant sites for i, alleles, genos in vcf_records: if len(set(genos[s] for s in samples if s in genos)) > 1: for j in range(len(alleles[0])): if i + j < len(seq): seq[i + j] = na else: # assume nothing when data is missing seq = list(na * (stop - start + 1)) for sample in samples: assert sample is None or sample in self.samples() # Make copy of reference sequence newseq = [s for s in seq] # Replace alleles, one site at a time. replaceAlleles(sample, newseq, vcf_records) # Convert list back to string. This string may or may not be the same # length as the original (if ignoreIndels is True, it must be the same # length as the original). newseq = ''.join(newseq) assert len(newseq) == (stop - start + 1) or not ignoreIndels yield (sample, newseq) def replaceAlleles(sample, seq, vcf_records): ''' Replace alleles, one site at a time. ''' for i, alleles, genos in vcf_records: # set allele to the DNA sequence we will replace at positions i through i+len(refallele)-1 if sample is None: # caller is asking for the reference sample's sequence allele = alleles[0] alleles = [allele] else: # caller is asking for a normal sample samp_geno = genos.get(sample) if not samp_geno: continue if isinstance(samp_geno, list): log.warning( "TO DO: add code to turn hets into IUPAC ambiguity codes (%s %s = %s).", i, sample, '/'.join(samp_geno)) continue allele = samp_geno # replace portion of sequence with allele # NEED BUGFIXES HERE for overlapping VCF records if allele is None: # nothing here ... is this even possible anymore? pass elif len(alleles[0]) == 1: # the most common cases: SNP, novar, or indel replacing one ref base (with zero or more bases) seq[i] = allele else: # most complicated case: something replacing multiple ref bases # TODO: beware--this is all untested! for j in range(max(len(alleles[0]), len(allele))): if i + j < len(seq): if j < len(allele): if j == len(alleles[0]) - 1: # new allele is >= ref length, fill out the rest of the bases seq[i + j] = allele[j:] else: seq[i + j] = allele[j] else: # new allele is shorter than ref, so delete extra bases seq[i + j] = '' return seq ================================================ FILE: src/viral_ngs/phylo/vphaser2.py ================================================ ''' V-Phaser 2 variant caller ''' import logging import subprocess import os import tempfile import shutil import pysam from viral_ngs import core from viral_ngs.core import file log = logging.getLogger(__name__) TOOL_NAME = "vphaser2" TOOL_VERSION = "2.0" class Vphaser2Tool(core.Tool): def __init__(self, install_methods=None): if install_methods is None: install_methods = [core.PrexistingUnixCommand(shutil.which(TOOL_NAME), require_executability=True)] super(Vphaser2Tool, self).__init__(install_methods=install_methods) def execute(self, inBam, outDir, numThreads=None): # pylint: disable=W0221 # index inBam samtoolsTool = tools.samtools.SamtoolsTool() samtoolsTool.index(inBam) log.debug("V-Phaser2 output directory: '%s'", outDir) cmd = [self.install_and_get_path(), '-i', inBam, '-o', outDir] cmd_str = ' '.join(cmd) envCopy = os.environ.copy() if numThreads is not None: envCopy['OMP_NUM_THREADS'] = str(numThreads) cmd_str = 'OMP_NUM_THREADS=%d ' % numThreads + cmd_str log.debug(cmd_str) # Use check_output instead of check_call so that we get error information # if the executable can't run on GitHub Actions. # Also has the effect of suppressing informational messages from vphaser, # which is probably a good thing. try: subprocess.check_output(cmd, env=envCopy, stderr=subprocess.STDOUT) except subprocess.CalledProcessError as ex: log.error(ex.output if type(ex.output)==str else ex.output.decode('utf-8')) raise def iterate(self, inBam, numThreads=None): """ Run V-Phaser 2 on inBam. Interate through lines in files CHROM.var.raw.txt in order of chroms in the inBam header. For each line yield: [CHROM, Ref_Pos, Var, Cons, Strd_bias_pval, Type, Var_perc, SNP_or_LP_Profile1, SNP_or_LP_Profile2, ...] """ #outdir = tempfile.mkdtemp('vphaser2') with file.tmp_dir(prefix='vphaser2') as outdir: try: self.execute(inBam, outdir, numThreads) finally: # these V-Phaser droppings cause problems if they persist bti = inBam + '.bti' if os.path.isfile(bti): os.unlink(bti) chromNames = pysam.Samfile(inBam).references for chromName in chromNames: outfile = os.path.join(outdir, chromName + '.var.raw.txt') if not os.path.exists(outfile): continue with open(outfile, 'rt') as inf: for line in inf: if not line.startswith('#'): yield [chromName] + line.strip().split() ================================================ FILE: src/viral_ngs/py.typed ================================================ ================================================ FILE: src/viral_ngs/read_utils.py ================================================ #!/usr/bin/env python3 """ Utilities for working with sequence reads, such as converting formats and fixing mate pairs. """ __author__ = "irwin@broadinstitute.org, dpark@broadinstitute.org" __commands__ = [] import argparse import logging import math import os import sqlite3 import subprocess import tempfile import time import shutil import sys import concurrent.futures from contextlib import contextmanager import functools from Bio import SeqIO import pysam from .core import file as util_file, misc as util_misc, cmd as util_cmd from .core.file import mkstempfname from .core import bbmap from .core import bwa from .core import cdhit from .core import picard from .core import samtools from .core import minimap2 from .core import mvicuna from .core import prinseq from .core import novoalign from .core import sambamba from .core import trimmomatic from .core import Tool from .core.misc import ReadIdStore log = logging.getLogger(__name__) # =============================== # *** index_fasta_samtools *** # =============================== def parser_index_fasta_samtools(parser=argparse.ArgumentParser()): parser.add_argument('inFasta', help='Reference genome, FASTA format.') util_cmd.common_args(parser, (('loglevel', None), ('version', None))) util_cmd.attach_main(parser, main_index_fasta_samtools) return parser def main_index_fasta_samtools(args): '''Index a reference genome for Samtools.''' samtools.SamtoolsTool().faidx(args.inFasta, overwrite=True) return 0 __commands__.append(('index_fasta_samtools', parser_index_fasta_samtools)) # ============================= # *** index_fasta_picard *** # ============================= def parser_index_fasta_picard(parser=argparse.ArgumentParser()): parser.add_argument('inFasta', help='Input reference genome, FASTA format.') parser.add_argument( '--JVMmemory', default=picard.CreateSequenceDictionaryTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard\'s CreateSequenceDictionary, OPTIONNAME=value ...' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_index_fasta_picard) return parser def main_index_fasta_picard(args): '''Create an index file for a reference genome suitable for Picard/GATK.''' picard.CreateSequenceDictionaryTool().execute( args.inFasta, overwrite=True, picardOptions=args.picardOptions, JVMmemory=args.JVMmemory ) return 0 __commands__.append(('index_fasta_picard', parser_index_fasta_picard)) # ============================= # *** mkdup_picard *** # ============================= def parser_mkdup_picard(parser=argparse.ArgumentParser()): parser.add_argument('inBams', help='Input reads, BAM format.', nargs='+') parser.add_argument('outBam', help='Output reads, BAM format.') parser.add_argument('--outMetrics', help='Output metrics file. Default is to dump to a temp file.', default=None) parser.add_argument( "--remove", help="Instead of marking duplicates, remove them entirely (default: %(default)s)", default=False, action="store_true", dest="remove" ) parser.add_argument( '--JVMmemory', default=picard.MarkDuplicatesTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard\'s MarkDuplicates, OPTIONNAME=value ...' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_mkdup_picard) return parser def main_mkdup_picard(args): '''Mark or remove duplicate reads from BAM file.''' opts = list(args.picardOptions) if args.remove: opts = ['REMOVE_DUPLICATES=true'] + opts picard.MarkDuplicatesTool().execute( args.inBams, args.outBam, args.outMetrics, picardOptions=opts, JVMmemory=args.JVMmemory ) return 0 __commands__.append(('mkdup_picard', parser_mkdup_picard)) # ============================= # *** revert_bam_picard *** # ============================= def parser_revert_sam_common(parser=argparse.ArgumentParser()): parser.add_argument('--clearTags', dest='clear_tags', default=False, action='store_true', help='When supplying an aligned input file, clear the per-read attribute tags') parser.add_argument("--tagsToClear", type=str, nargs='+', dest="tags_to_clear", default=["XT", "X0", "X1", "XA", "AM", "SM", "BQ", "CT", "XN", "OC", "OP"], help='A space-separated list of tags to remove from all reads in the input bam file (default: %(default)s)') parser.add_argument( '--doNotSanitize', dest="do_not_sanitize", action='store_true', help="""When being reverted, picard's SANITIZE=true is set unless --doNotSanitize is given. Sanitization is a destructive operation that removes reads so the bam file is consistent. From the picard documentation: 'Reads discarded include (but are not limited to) paired reads with missing mates, duplicated records, records with mismatches in length of bases and qualities.' For more information see: https://broadinstitute.github.io/picard/command-line-overview.html#RevertSam """ ) try: parser.add_argument( '--JVMmemory', default=picard.RevertSamTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) except argparse.ArgumentError: # if --JVMmemory is already present in the parser, continue on... pass return parser def parser_revert_bam_picard(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, BAM format.') parser.add_argument('outBam', help='Output reads, BAM format.') parser.add_argument( '--JVMmemory', default=picard.RevertSamTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard\'s RevertSam, OPTIONNAME=value ...' ) parser = parser_revert_sam_common(parser) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_revert_bam_picard, split_args=True) return parser def main_revert_bam_picard(inBam, outBam, clear_tags=False, tags_to_clear=None, picardOptions=None, do_not_sanitize=False, JVMmemory=None): '''Revert BAM to raw reads''' picardOptions = picardOptions or [] tags_to_clear = tags_to_clear or [] if clear_tags: for tag in tags_to_clear: picardOptions.append("ATTRIBUTE_TO_CLEAR={}".format(tag)) if not do_not_sanitize and not any(opt.startswith("SANITIZE") for opt in picardOptions): picardOptions.append('SANITIZE=true') picard.RevertSamTool().execute(inBam, outBam, picardOptions=picardOptions, JVMmemory=JVMmemory) return 0 __commands__.append(('revert_bam_picard', parser_revert_bam_picard)) @contextmanager def revert_bam_if_aligned(inBam, revert_bam=None, clear_tags=True, tags_to_clear=None, picardOptions=None, JVMmemory="4g", sanitize=False): ''' revert the bam file if aligned. If a revertBam file path is specified, it is used, otherwise a temp file is created. ''' revertBamOut = revert_bam if revert_bam else util_file.mkstempfname('.bam') picardOptions = picardOptions or [] tags_to_clear = tags_to_clear or [] outBam = inBam with pysam.AlignmentFile(inBam, 'rb', check_sq=False) as bam: # if it looks like the bam is aligned, revert it if 'SQ' in bam.header and len(bam.header['SQ'])>0: if clear_tags: for tag in tags_to_clear: picardOptions.append("ATTRIBUTE_TO_CLEAR={}".format(tag)) if not any(opt.startswith("SORT_ORDER") for opt in picardOptions): picardOptions.append('SORT_ORDER=queryname') if sanitize and not any(opt.startswith("SANITIZE") for opt in picardOptions): picardOptions.append('SANITIZE=true') picard.RevertSamTool().execute( inBam, revertBamOut, picardOptions=picardOptions ) outBam = revertBamOut else: # if we don't need to produce a revertBam file # but the user has specified one anyway # simply touch the output if revert_bam: log.warning("An output was specified for 'revertBam', but the input is unaligned, so RevertSam was not needed. Touching the output.") util_file.touch(revertBamOut) # TODO: error out? run RevertSam anyway? yield outBam if revert_bam == None: os.unlink(revertBamOut) # ========================= # *** generic picard *** # ========================= def parser_picard(parser=argparse.ArgumentParser()): parser.add_argument('command', help='picard command') parser.add_argument( '--JVMmemory', default=picard.PicardTools.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard, OPTIONNAME=value ...' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_picard) return parser def main_picard(args): '''Generic Picard runner.''' picard.PicardTools().execute(args.command, picardOptions=args.picardOptions, JVMmemory=args.JVMmemory) return 0 __commands__.append(('picard', parser_picard)) # =================== # *** sort_bam *** # =================== def parser_sort_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input bam file.') parser.add_argument('outBam', help='Output bam file, sorted.') parser.add_argument( 'sortOrder', help='How to sort the reads. [default: %(default)s]', choices=picard.SortSamTool.valid_sort_orders, default=picard.SortSamTool.default_sort_order ) parser.add_argument( "--index", help="Index outBam (default: %(default)s)", default=False, action="store_true", dest="index" ) parser.add_argument( "--md5", help="MD5 checksum outBam (default: %(default)s)", default=False, action="store_true", dest="md5" ) parser.add_argument( '--JVMmemory', default=picard.SortSamTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard\'s SortSam, OPTIONNAME=value ...' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_sort_bam) return parser def main_sort_bam(args): '''Sort BAM file''' opts = list(args.picardOptions) if args.index: opts = ['CREATE_INDEX=true'] + opts if args.md5: opts = ['CREATE_MD5_FILE=true'] + opts picard.SortSamTool().execute( args.inBam, args.outBam, args.sortOrder, picardOptions=opts, JVMmemory=args.JVMmemory ) return 0 __commands__.append(('sort_bam', parser_sort_bam)) # ==================== # *** downsample_bams *** # ==================== def parser_downsample_bams(parser=argparse.ArgumentParser()): parser.add_argument('in_bams', help='Input bam files.', nargs='+') parser.add_argument('--outPath', dest="out_path", type=str, help="""Output path. If not provided, downsampled bam files will be written to the same paths as each source bam file""") parser.add_argument('--readCount', dest="specified_read_count", type=int, help='The number of reads to downsample to.') group = parser.add_mutually_exclusive_group() group.add_argument('--deduplicateBefore', action='store_true', dest="deduplicate_before", help='de-duplicate reads before downsampling.') group.add_argument('--deduplicateAfter', action='store_true', dest="deduplicate_after", help='de-duplicate reads after downsampling.') parser.add_argument( '--JVMmemory', default=picard.DownsampleSamTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard\'s DownsampleSam, OPTIONNAME=value ...' ) util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_downsample_bams, split_args=True) return parser def main_downsample_bams(in_bams, out_path, specified_read_count=None, deduplicate_before=False, deduplicate_after=False, picardOptions=None, threads=None, JVMmemory=None): '''Downsample multiple bam files to the smallest read count in common, or to the specified count.''' if picardOptions is None: picardOptions = [] opts = list(picardOptions) + [] def get_read_counts(bams): # get read counts for bam files provided read_counts = {} with concurrent.futures.ProcessPoolExecutor(max_workers=util_misc.sanitize_thread_count(threads)) as executor: samtools_tool = samtools.SamtoolsTool() for x, result in zip(bams, executor.map(samtools_tool.count, bams)): read_counts[x] = int(result) return read_counts def get_downsample_target_count(bams, readcount_requested): read_counts = get_read_counts(bams) downsample_target = 0 if readcount_requested is not None: downsample_target = readcount_requested if downsample_target > min(read_counts.values()): raise ValueError("The smallest file has %s reads, which is less than the downsample target specified, %s. Please reduce the target count or omit it to use the read count of the smallest input file." % (min(read_counts.values()), downsample_target)) else: downsample_target = min(read_counts.values()) return downsample_target def downsample_bams(data_pairs, downsample_target, threads=None, JVMmemory=None): workers = min(util_misc.sanitize_thread_count(threads), len(data_pairs)) JVMmemory = JVMmemory if JVMmemory else picard.DownsampleSamTool.jvmMemDefault jvm_worker_memory_mb = str(int(util_misc.convert_size_str(JVMmemory,"m")[:-1])//workers)+"m" with concurrent.futures.ProcessPoolExecutor(max_workers=workers) as executor: downsamplesam = picard.DownsampleSamTool() future_to_file = {executor.submit(downsamplesam.downsample_to_approx_count, *(list(fp)+[downsample_target]), JVMmemory=jvm_worker_memory_mb): fp[0] for fp in data_pairs} for future in concurrent.futures.as_completed(future_to_file): f = future_to_file[future] try: data = future.result() except Exception as exc: raise def dedup_bams(data_pairs, threads=None): workers = min(util_misc.sanitize_thread_count(threads), len(data_pairs)) with concurrent.futures.ProcessPoolExecutor(max_workers=workers) as executor: future_to_file = {executor.submit(rmdup_mvicuna_bam, *fp): fp[0] for fp in data_pairs} for future in concurrent.futures.as_completed(future_to_file): f = future_to_file[future] try: data = future.result() except Exception as exc: raise data_pairs = [] if deduplicate_before: with util_file.tempfnames(suffixes=[ '{}.dedup.bam'.format(os.path.splitext(os.path.basename(x))[0]) for x in in_bams]) as deduped_bams: data_pairs = list(zip(in_bams, deduped_bams)) dedup_bams(data_pairs, threads=threads) downsample_target = get_downsample_target_count(deduped_bams, specified_read_count) if out_path: util_file.mkdir_p(out_path) data_pairs = list(zip(deduped_bams, [os.path.join(out_path, os.path.splitext(os.path.basename(x))[0]+".dedup.downsampled-{}.bam".format(downsample_target)) for x in in_bams])) else: data_pairs = list(zip(deduped_bams, [os.path.splitext(x)[0]+".dedup.downsampled-{}.bam".format(downsample_target) for x in in_bams])) downsample_bams(data_pairs, downsample_target, threads=threads, JVMmemory=JVMmemory) else: downsample_target = get_downsample_target_count(in_bams, specified_read_count) if deduplicate_after: log.warning("--deduplicateAfter has been specified. Read count of output files is not guaranteed.") with util_file.tempfnames(suffixes=[ '{}.downsampled-{}.bam'.format(os.path.splitext(os.path.basename(x))[0], downsample_target) for x in in_bams]) as downsampled_tmp_bams: data_pairs = list(zip(in_bams, downsampled_tmp_bams)) downsample_bams(data_pairs, downsample_target, threads=threads, JVMmemory=JVMmemory) if out_path: util_file.mkdir_p(out_path) data_pairs = list(zip(downsampled_tmp_bams, [os.path.join(out_path, os.path.splitext(os.path.basename(x))[0]+".downsampled-{}.dedup.bam").format(downsample_target) for x in in_bams])) else: data_pairs = list(zip(downsampled_tmp_bams, [os.path.splitext(x)[0]+".downsampled-{}.dedup.bam".format(downsample_target) for x in in_bams])) dedup_bams(data_pairs, threads=threads) else: if out_path: util_file.mkdir_p(out_path) data_pairs = list(zip(in_bams, [os.path.join(out_path, os.path.splitext(os.path.basename(x))[0]+".downsampled-{}.bam".format(downsample_target)) for x in in_bams])) else: data_pairs = list(zip(in_bams, [os.path.splitext(x)[0]+".downsampled-{}.bam".format(downsample_target) for x in in_bams])) downsample_bams(data_pairs, downsample_target, threads=threads, JVMmemory=JVMmemory) return 0 __commands__.append(('downsample_bams', parser_downsample_bams)) # ==================== # *** merge_bams *** # ==================== def parser_merge_bams(parser=argparse.ArgumentParser()): parser.add_argument('inBams', help='Input bam files.', nargs='+') parser.add_argument('outBam', help='Output bam file.') parser.add_argument( '--JVMmemory', default=picard.MergeSamFilesTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard\'s MergeSamFiles, OPTIONNAME=value ...' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_merge_bams) return parser def main_merge_bams(args): '''Merge multiple BAMs into one''' opts = list(args.picardOptions) + ['USE_THREADING=true'] picard.MergeSamFilesTool().execute(args.inBams, args.outBam, picardOptions=opts, JVMmemory=args.JVMmemory) return 0 __commands__.append(('merge_bams', parser_merge_bams)) # ==================== # *** filter_bam *** # ==================== def parser_filter_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input bam file.') parser.add_argument('readList', help='Input file of read IDs.') parser.add_argument('outBam', help='Output bam file.') parser.add_argument( "--exclude", help="""If specified, readList is a list of reads to remove from input. Default behavior is to treat readList as an inclusion list (all unnamed reads are removed).""", default=False, action="store_true", dest="exclude" ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_filter_bam) return parser def main_filter_bam(args): '''Filter BAM file by read name''' with util_file.tmp_dir(suffix='_filter_bam') as tmpdir: db_path = os.path.join(tmpdir, 'read_ids.db') with ReadIdStore(db_path) as store: store.add_from_readlist(args.readList) store.filter_bam_by_ids(args.inBam, args.outBam, include=not args.exclude) return 0 __commands__.append(('filter_bam', parser_filter_bam)) # ======================= # *** fastq_to_bam *** # ======================= def fastq_to_bam( inFastq1, inFastq2, outBam, sampleName=None, header=None, JVMmemory=None, # Kept for backwards compatibility, ignored (was for Picard) picardOptions=None, # Kept for backwards compatibility, parsed for RG tags threads=None ): ''' Convert a pair of fastq paired-end read files and optional text header to a single bam file. Uses samtools import for multi-threaded FASTQ to BAM conversion. The JVMmemory parameter is kept for backwards compatibility but ignored. The picardOptions parameter is parsed for Picard-style RG tag options. ''' picardOptions = picardOptions or [] if header: fastqToSamOut = mkstempfname('.bam') else: fastqToSamOut = outBam if sampleName is None: sampleName = 'Dummy' # Will get overwritten by rehead command # Parse picardOptions to extract RG tag values # Supports Picard-style options like LIBRARY_NAME=Alexandria opts_dict = {} for opt in picardOptions: if '=' in opt: key, value = opt.split('=', 1) opts_dict[key.upper()] = value # Map Picard option names to import_fastq parameters library_name = opts_dict.get('LIBRARY_NAME') platform = opts_dict.get('PLATFORM', 'illumina') platform_unit = opts_dict.get('PLATFORM_UNIT') sequencing_center = opts_dict.get('SEQUENCING_CENTER') run_date = opts_dict.get('RUN_DATE') read_group_id = opts_dict.get('READ_GROUP_NAME') samtools.SamtoolsTool().import_fastq( inFastq1, inFastq2, fastqToSamOut, sample_name=sampleName, library_name=library_name, platform=platform, read_group_id=read_group_id, platform_unit=platform_unit, sequencing_center=sequencing_center, run_date=run_date, threads=threads ) if header: samtools.SamtoolsTool().reheader(fastqToSamOut, header, outBam) return 0 def parser_fastq_to_bam(parser=argparse.ArgumentParser()): parser.add_argument('inFastq1', help='Input fastq file; 1st end of paired-end reads.') parser.add_argument('inFastq2', help='Input fastq file; 2nd end of paired-end reads.') parser.add_argument('outBam', help='Output bam file.') headerGroup = parser.add_mutually_exclusive_group(required=True) headerGroup.add_argument('--sampleName', help='Sample name to insert into the read group header.') headerGroup.add_argument('--header', help='Optional text file containing header.') parser.add_argument( '--JVMmemory', default=None, help='Deprecated: kept for backwards compatibility, ignored. (Was for Picard)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='''Read group options in Picard format (OPTIONNAME=value). Supported: LIBRARY_NAME, PLATFORM, PLATFORM_UNIT, SEQUENCING_CENTER, RUN_DATE, READ_GROUP_NAME. Note that header-related options will be overwritten by HEADER if present.''' ) parser.add_argument( '--threads', type=int, default=None, help='Number of threads for BAM compression (default: auto)' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, fastq_to_bam, split_args=True) return parser __commands__.append(('fastq_to_bam', parser_fastq_to_bam)) def join_paired_fastq( inFastqs, output, outFormat ): ''' Join paired fastq reads into single reads with Ns ''' inFastqs = list(inFastqs) if output == '-': output = sys.stdout SeqIO.write(util_file.join_paired_fastq(inFastqs, output_format=outFormat), output, outFormat) return 0 def parser_join_paired_fastq(parser=argparse.ArgumentParser()): parser.add_argument('output', help='Output file.') parser.add_argument('inFastqs', nargs='+', help='Input fastq file (2 if paired, 1 if interleaved)') parser.add_argument('--outFormat', default='fastq', help='Output file format.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, join_paired_fastq, split_args=True) return parser __commands__.append(('join_paired_fastq', parser_join_paired_fastq)) # ====================== # *** split_reads *** # ====================== defaultIndexLen = 2 defaultMaxReads = 1000 defaultFormat = 'fastq' def split_bam(inBam, outBams): '''Split BAM file equally into several output BAM files. ''' samtools_tool = samtools.SamtoolsTool() picard_tool = picard.PicardTools() # get totalReadCount and maxReads # maxReads = totalReadCount / num files, but round up to the nearest # even number in order to keep read pairs together (assuming the input # is sorted in query order and has no unmated reads, which can be # accomplished by Picard RevertSam with SANITIZE=true) totalReadCount = samtools_tool.count(inBam) maxReads = int(math.ceil(float(totalReadCount) / len(outBams) / 2) * 2) log.info("splitting %d reads into %d files of %d reads each", totalReadCount, len(outBams), maxReads) # load BAM header into memory header = samtools_tool.getHeader(inBam) if 'SO:queryname' not in header[0]: raise Exception('Input BAM file must be sorted in queryame order') # dump to bigsam bigsam = mkstempfname('.sam') samtools_tool.view(['-@', '3'], inBam, bigsam) # split bigsam into little ones with util_file.open_or_gzopen(bigsam, 'rt') as inf: for outBam in outBams: log.info("preparing file " + outBam) tmp_sam_reads = mkstempfname('.sam') with open(tmp_sam_reads, 'wt') as outf: for row in header: outf.write('\t'.join(row) + '\n') for _ in range(maxReads): line = inf.readline() if not line: break outf.write(line) if outBam == outBams[-1]: for line in inf: outf.write(line) picard_tool.execute( "SamFormatConverter", [ 'INPUT=' + tmp_sam_reads, 'OUTPUT=' + outBam, 'VERBOSITY=WARNING' ], JVMmemory='512m' ) os.unlink(tmp_sam_reads) os.unlink(bigsam) def parser_split_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input BAM file.') parser.add_argument('outBams', nargs='+', help='Output BAM files') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, split_bam, split_args=True) return parser __commands__.append(('split_bam', parser_split_bam)) # ======================= # *** reheader_bam *** # ======================= def parser_reheader_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, BAM format.') parser.add_argument('rgMap', help='Tabular file containing three columns: field, old, new.') parser.add_argument('outBam', help='Output reads, BAM format.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_reheader_bam) return parser def main_reheader_bam(args): ''' Copy a BAM file (inBam to outBam) while renaming elements of the BAM header. The mapping file specifies which (key, old value, new value) mappings. For example: LB lib1 lib_one SM sample1 Sample_1 SM sample2 Sample_2 SM sample3 Sample_3 CN broad BI ''' # read mapping file mapper = dict((a + ':' + b, a + ':' + c) for a, b, c in util_file.read_tabfile(args.rgMap)) # read and convert bam header header_file = mkstempfname('.sam') with open(header_file, 'wt') as outf: for row in samtools.SamtoolsTool().getHeader(args.inBam): if row[0] == '@RG': row = [mapper.get(x, x) for x in row] outf.write('\t'.join(row) + '\n') # write new bam with new header samtools.SamtoolsTool().reheader(args.inBam, header_file, args.outBam) os.unlink(header_file) return 0 __commands__.append(('reheader_bam', parser_reheader_bam)) def parser_reheader_bams(parser=argparse.ArgumentParser()): parser.add_argument('rgMap', help='Tabular file containing three columns: field, old, new.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_reheader_bams) return parser def main_reheader_bams(args): ''' Copy BAM files while renaming elements of the BAM header. The mapping file specifies which (key, old value, new value) mappings. For example: LB lib1 lib_one SM sample1 Sample_1 SM sample2 Sample_2 SM sample3 Sample_3 CN broad BI FN in1.bam out1.bam FN in2.bam out2.bam ''' # read mapping file mapper = dict((a + ':' + b, a + ':' + c) for a, b, c in util_file.read_tabfile(args.rgMap) if a != 'FN') files = list((b, c) for a, b, c in util_file.read_tabfile(args.rgMap) if a == 'FN') header_file = mkstempfname('.sam') # read and convert bam headers for inBam, outBam in files: if os.path.isfile(inBam): with open(header_file, 'wt') as outf: for row in samtools.SamtoolsTool().getHeader(inBam): if row[0] == '@RG': row = [mapper.get(x, x) for x in row] outf.write('\t'.join(row) + '\n') # write new bam with new header samtools.SamtoolsTool().reheader(inBam, header_file, outBam) os.unlink(header_file) return 0 __commands__.append(('reheader_bams', parser_reheader_bams)) # ============================ # *** dup_remove_mvicuna *** # ============================ def mvicuna_fastqs_to_readlist(inFastq1, inFastq2, readList): # Run M-Vicuna on FASTQ files outFastq1 = mkstempfname('.1.fastq') outFastq2 = mkstempfname('.2.fastq') if inFastq2 is None or os.path.getsize(inFastq2) < 10: mvicuna.MvicunaTool().rmdup_single(inFastq1, outFastq1) else: mvicuna.MvicunaTool().rmdup((inFastq1, inFastq2), (outFastq1, outFastq2), None) # Make a list of reads to keep with open(readList, 'at') as outf: for fq in (outFastq1, outFastq2): with util_file.open_or_gzopen(fq, 'rt') as inf: line_num = 0 for line in inf: if (line_num % 4) == 0: idVal = line.rstrip('\n')[1:] if idVal.endswith('/1'): outf.write(idVal[:-2] + '\n') # single-end reads do not have /1 /2 mate suffix # so pass through their IDs if not (idVal.endswith('/1') or idVal.endswith('/2')): outf.write(idVal + '\n') line_num += 1 os.unlink(outFastq1) os.unlink(outFastq2) def rmdup_cdhit_bam(inBam, outBam, max_mismatches=None, jvm_memory=None): ''' Remove duplicate reads from BAM file using cd-hit-dup. ''' max_mismatches = max_mismatches or 4 tmp_dir = tempfile.mkdtemp() picard.SplitSamByLibraryTool().execute(inBam, tmp_dir) s2fq_tool = picard.SamToFastqTool() cdhit_tool = cdhit.CdHit() out_bams = [] for f in os.listdir(tmp_dir): out_bam = mkstempfname('.bam') out_bams.append(out_bam) library_sam = os.path.join(tmp_dir, f) in_fastqs = mkstempfname('.1.fastq'), mkstempfname('.2.fastq') s2fq_tool.execute(library_sam, in_fastqs[0], in_fastqs[1]) if not os.path.getsize(in_fastqs[0]) > 0 and not os.path.getsize(in_fastqs[1]) > 0: continue out_fastqs = mkstempfname('.1.fastq'), mkstempfname('.2.fastq') options = { '-e': max_mismatches, } if in_fastqs[1] is not None and os.path.getsize(in_fastqs[1]) > 10: options['-i2'] = in_fastqs[1] options['-o2'] = out_fastqs[1] log.info("executing cd-hit-dup on library " + library_sam) # cd-hit-dup cannot operate on piped fastq input because it reads twice # Run cd-hit-dup synchronously (not in background) to ensure output files are complete # before FastqToSamTool tries to read them cdhit_tool.execute('cd-hit-dup', in_fastqs[0], out_fastqs[0], options=options, background=False) samtools.SamtoolsTool().import_fastq( out_fastqs[0], out_fastqs[1], out_bam, sample_name=f, ) for fn in in_fastqs: os.unlink(fn) with util_file.fifo(name='merged.sam') as merged_bam: merge_opts = ['SORT_ORDER=queryname'] picard.MergeSamFilesTool().execute(out_bams, merged_bam, picardOptions=merge_opts, JVMmemory=jvm_memory, background=True) picard.ReplaceSamHeaderTool().execute(merged_bam, inBam, outBam, JVMmemory=jvm_memory) def parser_rmdup_cdhit_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, BAM format.') parser.add_argument('outBam', help='Output reads, BAM format.') parser.add_argument( '--JVMmemory', default=picard.FilterSamReadsTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)', dest='jvm_memory' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, rmdup_cdhit_bam, split_args=True) return parser __commands__.append(('rmdup_cdhit_bam', parser_rmdup_cdhit_bam)) def _merge_fastqs_and_mvicuna(lb, files): readList = mkstempfname('.keep_reads.txt') log.info("executing M-Vicuna DupRm on library " + lb) # create merged FASTQs per library infastqs = (mkstempfname('.1.fastq'), mkstempfname('.2.fastq')) for d in range(2): with open(infastqs[d], 'wt') as outf: for fprefix in files: fn = '%s_%d.fastq' % (fprefix, d + 1) if os.path.isfile(fn): with open(fn, 'rt') as inf: for line in inf: outf.write(line) os.unlink(fn) else: log.warning( """no reads found in %s, assuming that's because there's no reads in that read group""", fn ) # M-Vicuna DupRm to see what we should keep (append IDs to running file) if os.path.getsize(infastqs[0]) > 0 or os.path.getsize(infastqs[1]) > 0: mvicuna_fastqs_to_readlist(infastqs[0], infastqs[1], readList) for fn in infastqs: os.unlink(fn) return readList def rmdup_mvicuna_bam(inBam, outBam, threads=None): ''' Remove duplicate reads from BAM file using M-Vicuna. The primary advantage to this approach over Picard's MarkDuplicates tool is that Picard requires that input reads are aligned to a reference, and M-Vicuna can operate on unaligned reads. ''' # Convert BAM -> FASTQ pairs per read group and load all read groups tempDir = tempfile.mkdtemp() picard.SamToFastqTool().per_read_group(inBam, tempDir, picardOptions=['VALIDATION_STRINGENCY=LENIENT']) read_groups = [x[1:] for x in samtools.SamtoolsTool().getHeader(inBam) if x[0] == '@RG'] read_groups = [dict(pair.split(':', 1) for pair in rg) for rg in read_groups] # Collect FASTQ pairs for each library lb_to_files = {} for rg in read_groups: lb_to_files.setdefault(rg.get('LB', 'none'), set()) fname = rg['ID'] lb_to_files[rg.get('LB', 'none')].add(os.path.join(tempDir, fname)) log.info("found %d distinct libraries and %d read groups", len(lb_to_files), len(read_groups)) # Create ReadIdStore and collect read IDs from all libraries with util_file.tmp_dir(suffix='_mvicuna_filter') as filter_tmpdir: db_path = os.path.join(filter_tmpdir, 'read_ids.db') with ReadIdStore(db_path) as store: # For each library, merge FASTQs and run M-Vicuna, collecting read IDs with concurrent.futures.ProcessPoolExecutor( max_workers=threads or util_misc.available_cpu_count()) as executor: futures = [executor.submit(_merge_fastqs_and_mvicuna, lb, files) for lb, files in lb_to_files.items()] for future in concurrent.futures.as_completed(futures): log.info("mvicuna finished processing library") try: readList = future.result() # Stream read IDs directly into store (no intermediate concat) with open(readList, 'rt') as f: store.extend(line.strip() for line in f if line.strip()) os.unlink(readList) # Clean up per-library file immediately except Exception as exc: log.error('mvicuna process call generated an exception: %s' % (exc)) raise # Filter original input BAM against keep-list store.filter_bam_by_ids(inBam, outBam, include=True) return 0 def parser_rmdup_mvicuna_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, BAM format.') parser.add_argument('outBam', help='Output reads, BAM format.') util_cmd.common_args(parser, (('threads',None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, rmdup_mvicuna_bam, split_args=True) return parser __commands__.append(('rmdup_mvicuna_bam', parser_rmdup_mvicuna_bam)) def rmdup_bbnorm_bam(inBam, outBam, target=None, k=None, passes=None, memory=None, threads=None, min_input_reads=None, max_output_reads=None): """ Remove duplicate/normalize reads from BAM file using BBNorm. Convert BAM to interleaved FASTQ, run bbnorm, extract kept read IDs, and filter original BAM to those IDs using pysam (O(1) memory). Args: inBam: Input BAM file outBam: Output BAM file target: BBNorm target normalization depth (default: bbnorm default of 100) k: Kmer length (default: bbnorm default of 31) passes: Number of passes (default: bbnorm default of 2) memory: Java memory for bbnorm (e.g., "4g") threads: Number of threads for bbnorm min_input_reads: Skip processing if input has fewer reads (copy input to output) max_output_reads: Randomly downsample keep-list if larger than this """ samtools_tool = samtools.SamtoolsTool() # Count input reads input_read_count = samtools_tool.count(inBam) log.info("Input BAM has %d reads", input_read_count) # Skip processing if empty or below min_input_reads threshold min_threshold = min_input_reads if min_input_reads is not None else 1 if input_read_count < min_threshold: if min_input_reads is not None: log.info("Input read count %d below min_input_reads %d, copying input to output", input_read_count, min_input_reads) else: log.info("Input BAM is empty, copying to output") shutil.copyfile(inBam, outBam) return 0 with util_file.tmp_dir(suffix='_bbnorm') as tmpdir: # Convert BAM to interleaved FASTQ using samtools bam2fq inFastq = os.path.join(tmpdir, 'input.fastq') samtools_tool.bam2fq(inBam, inFastq) # Single file = interleaved output # Run bbnorm outFastq = os.path.join(tmpdir, 'output.fastq') bbmap.BBMapTool().bbnorm( inFastq, outFastq, tmpdir=tmpdir, target=target, k=k, passes=passes, mindepth=0, threads=threads, memory=memory ) # Extract read IDs from bbnorm output FASTQ using SQLite for O(1) memory db_path = os.path.join(tmpdir, 'read_ids.db') with ReadIdStore(db_path) as store: store.add_from_fastq(outFastq) num_ids = len(store) log.info("BBNorm retained %d read IDs", num_ids) # Downsample if needed (modifies store in-place via SQL) if max_output_reads is not None and num_ids > max_output_reads: log.info("Downsampling from %d to %d read IDs", num_ids, max_output_reads) store.shrink_to_subsample(max_output_reads) # Filter original BAM directly using ReadIdStore store.filter_bam_by_ids(inBam, outBam, include=True) # Count output reads output_read_count = samtools_tool.count(outBam) log.info("Output BAM has %d reads (%.1f%% of input)", output_read_count, 100.0 * output_read_count / max(input_read_count, 1)) return 0 def parser_rmdup_bbnorm_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, BAM format.') parser.add_argument('outBam', help='Output reads, BAM format.') parser.add_argument( '--target', type=int, default=None, help='BBNorm target normalization depth (default: bbnorm default of 100)' ) parser.add_argument( '--kmerLength', dest='k', type=int, default=None, help='Kmer length for bbnorm (default: bbnorm default of 31)' ) parser.add_argument( '--passes', type=int, default=None, help='Number of bbnorm passes (default: bbnorm default of 2)' ) parser.add_argument( '--memory', default=None, help='Java memory for bbnorm (e.g., "4g", "8g")' ) parser.add_argument( '--minInputReads', dest='min_input_reads', type=int, default=None, help='Skip processing if input has fewer than this many reads' ) parser.add_argument( '--maxOutputReads', dest='max_output_reads', type=int, default=None, help='Randomly downsample output to at most this many read IDs' ) util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, rmdup_bbnorm_bam, split_args=True) return parser __commands__.append(('rmdup_bbnorm_bam', parser_rmdup_bbnorm_bam)) def parser_rmdup_prinseq_fastq(parser=argparse.ArgumentParser()): parser.add_argument('inFastq1', help='Input fastq file; 1st end of paired-end reads.') parser.add_argument('inFastq2', help='Input fastq file; 2nd end of paired-end reads.') parser.add_argument('outFastq1', help='Output fastq file; 1st end of paired-end reads.') parser.add_argument('outFastq2', help='Output fastq file; 2nd end of paired-end reads.') parser.add_argument( "--includeUnmated", help="Include unmated reads in the main output fastq files (default: %(default)s)", default=False, action="store_true" ) parser.add_argument('--unpairedOutFastq1', default=None, help='File name of output unpaired reads from 1st end of paired-end reads (independent of --includeUnmated)') parser.add_argument('--unpairedOutFastq2', default=None, help='File name of output unpaired reads from 2nd end of paired-end reads (independent of --includeUnmated)') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_rmdup_prinseq_fastq) return parser def main_rmdup_prinseq_fastq(args): ''' Run prinseq-lite's duplicate removal operation on paired-end reads. Also removes reads with more than one N. ''' prinseq_tool = prinseq.PrinseqTool() prinseq_tool.rmdup_fastq_paired(args.inFastq1, args.inFastq2, args.outFastq1, args.outFastq2, args.includeUnmated, args.unpairedOutFastq1, args.unpairedOutFastq2) return 0 __commands__.append(('rmdup_prinseq_fastq', parser_rmdup_prinseq_fastq)) def filter_bam_mapped_only(inBam, outBam): ''' Samtools to reduce a BAM file to only reads that are aligned (-F 4) with a non-zero mapping quality (-q 1) and are not marked as a PCR/optical duplicate (-F 1024). ''' samtools.SamtoolsTool().view(['-b', '-q', '1', '-F', '1028'], inBam, outBam) picard.BuildBamIndexTool().execute(outBam) return 0 def parser_filter_bam_mapped_only(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input aligned reads, BAM format.') parser.add_argument('outBam', help='Output sorted indexed reads, filtered to aligned-only, BAM format.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, filter_bam_mapped_only, split_args=True) return parser __commands__.append(('filter_bam_mapped_only', parser_filter_bam_mapped_only)) # ======= Novoalign ======== def parser_novoalign(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, BAM format.') parser.add_argument('refFasta', help='Reference genome, FASTA format, pre-indexed by Novoindex.') parser.add_argument('outBam', help='Output reads, BAM format (aligned).') parser.add_argument('--options', default='-r Random', help='Novoalign options (default: %(default)s)') parser.add_argument('--min_qual', default=0, help='Filter outBam to minimum mapping quality (default: %(default)s)') parser.add_argument( '--JVMmemory', default=picard.SortSamTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--NOVOALIGN_LICENSE_PATH', default=None, dest="novoalign_license_path", help='A path to the novoalign.lic file. This overrides the NOVOALIGN_LICENSE_PATH environment variable. (default: %(default)s)' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_novoalign) return parser def main_novoalign(args): '''Align reads with Novoalign. Sort and index BAM output.''' novoalign.NovoalignTool(license_path=args.novoalign_license_path).execute( args.inBam, args.refFasta, args.outBam, options=args.options.split(), min_qual=args.min_qual, JVMmemory=args.JVMmemory ) return 0 __commands__.append(('novoalign', parser_novoalign)) def parser_novoindex(parser=argparse.ArgumentParser()): parser.add_argument('refFasta', help='Reference genome, FASTA format.') parser.add_argument( '--NOVOALIGN_LICENSE_PATH', default=None, dest="novoalign_license_path", help='A path to the novoalign.lic file. This overrides the NOVOALIGN_LICENSE_PATH environment variable. (default: %(default)s)' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None))) util_cmd.attach_main(parser, main_novoindex) return parser def main_novoindex(args): novoalign.NovoalignTool(license_path=args.novoalign_license_path).index_fasta(args.refFasta) return 0 __commands__.append(('novoindex', parser_novoindex)) # ========= align_and_fix ========== def align_and_fix( inBam, refFasta, outBamAll=None, outBamFiltered=None, aligner_options='', aligner="novoalign", bwa_min_score=None, novoalign_amplicons_bed=None, amplicon_window=4, JVMmemory=None, threads=None, skip_mark_dupes=False, dup_marker='sambamba', novoalign_license_path=None, skip_realign=False, ): ''' Take reads, align to reference with Novoalign, minimap2, or BWA-MEM. Optionally mark duplicates with Picard or sambamba, and optionally filter final file to mapped/non-dupe reads. ''' if not (outBamAll or outBamFiltered): log.warning("are you sure you meant to do nothing?") return assert aligner in ["novoalign", "bwa", "minimap2"] samtools_tool = samtools.SamtoolsTool() refFastaCopy = mkstempfname('.ref_copy.fasta') with util_file.fastas_with_sanitized_ids(refFasta, use_tmp=True) as sanitized_fastas: shutil.copyfile(sanitized_fastas[0], refFastaCopy) picard.CreateSequenceDictionaryTool().execute(refFastaCopy, overwrite=True, JVMmemory=JVMmemory) samtools_tool.faidx(refFastaCopy, overwrite=True) if aligner_options is None: if aligner=="novoalign": aligner_options = '-r Random' else: aligner_options = '' # use defaults if samtools_tool.isEmpty(inBam): log.warning("zero reads present in input") bam_aligned = mkstempfname('.aligned.bam') if aligner=="novoalign": if novoalign_amplicons_bed is not None: aligner_options += ' --amplicons {} {}'.format(novoalign_amplicons_bed, amplicon_window) novoalign.NovoalignTool(license_path=novoalign_license_path).index_fasta(refFastaCopy) novoalign.NovoalignTool(license_path=novoalign_license_path).execute( inBam, refFastaCopy, bam_aligned, options=aligner_options.split(), JVMmemory=JVMmemory ) elif aligner=='bwa': bwa_tool = bwa.Bwa() bwa_tool.index(refFastaCopy) opts = aligner_options.split() bwa_tool.align_mem_bam(inBam, refFastaCopy, bam_aligned, min_score_to_filter=bwa_min_score, threads=threads, options=opts) elif aligner=='minimap2': mm2 = minimap2.Minimap2() mm2.align_bam(inBam, refFastaCopy, bam_aligned, threads=threads, options=aligner_options.split()) # Mark duplicates with sambamba (default) or Picard if skip_mark_dupes: bam_marked = bam_aligned else: bam_marked = mkstempfname('.mkdup.bam') if dup_marker == 'sambamba': sambamba.SambambaTool().markdup( bam_aligned, bam_marked, threads=threads ) elif dup_marker == 'picard': picard.MarkDuplicatesTool().execute( [bam_aligned], bam_marked, picardOptions=['CREATE_INDEX=true'], JVMmemory=JVMmemory ) else: raise ValueError(f"Unknown dup_marker: {dup_marker}. Must be 'sambamba' or 'picard'") os.unlink(bam_aligned) # Index the marked BAM if dup_marker == 'sambamba' and not skip_mark_dupes: sambamba.SambambaTool().index(bam_marked, threads=threads) else: samtools_tool.index(bam_marked) # Generate output files if outBamAll: shutil.copyfile(bam_marked, outBamAll) if dup_marker == 'sambamba': sambamba.SambambaTool().index(outBamAll, threads=threads) else: picard.BuildBamIndexTool().execute(outBamAll, JVMmemory=JVMmemory) if outBamFiltered: filtered_any_mapq = mkstempfname('.filtered_any_mapq.bam') # filter based on read flags samtools_tool.filter_to_proper_primary_mapped_reads(bam_marked, filtered_any_mapq) # remove reads with MAPQ <1 samtools_tool.view(['-b', '-q', '1'], filtered_any_mapq, outBamFiltered) os.unlink(filtered_any_mapq) if dup_marker == 'sambamba': sambamba.SambambaTool().index(outBamFiltered, threads=threads) else: picard.BuildBamIndexTool().execute(outBamFiltered, JVMmemory=JVMmemory) os.unlink(bam_marked) def parser_align_and_fix(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input unaligned reads, BAM format.') parser.add_argument('refFasta', help='Reference genome, FASTA format; will be indexed by Picard and Novoalign.') parser.add_argument( '--outBamAll', default=None, help='''Aligned, sorted, and indexed reads. Unmapped and duplicate reads are retained. By default, duplicate reads are marked. If "--skipMarkDupes" is specified duplicate reads are included in outout without being marked.''' ) parser.add_argument( '--outBamFiltered', default=None, help='''Aligned, sorted, and indexed reads. Unmapped reads are removed from this file, as well as any marked duplicate reads. Note that if "--skipMarkDupes" is provided, duplicates will be not be marked and will be included in the output.''' ) parser.add_argument('--aligner_options', default=None, help='aligner options (default for novoalign: "-r Random", bwa: "-T 30"') parser.add_argument('--aligner', choices=['novoalign', 'minimap2', 'bwa'], default='novoalign', help='aligner (default: %(default)s)') parser.add_argument('--bwa_min_score', type=int, default=None, help='BWA mem on paired reads ignores the -T parameter. Set a value here (e.g. 30) to invoke a custom post-alignment filter (default: no filtration)') parser.add_argument('--novoalign_amplicons_bed', default=None, help='Novoalign only: amplicon primer file (BED format) to soft clip') parser.add_argument('--amplicon_window', type=int, default=4, help='Novoalign only: amplicon primer window size (default: %(default)s)') parser.add_argument('--JVMmemory', default='4g', help='JVM virtual memory size (default: %(default)s)') parser.add_argument('--threads', type=int, default=None, help='Number of threads (default: all available cores)') parser.add_argument('--skipMarkDupes', help='If specified, duplicate reads will not be marked in the resulting output file.', dest="skip_mark_dupes", action='store_true') parser.add_argument('--dupMarker', choices=['sambamba', 'picard'], default='sambamba', dest="dup_marker", help='Tool to use for marking duplicates. Sambamba is multi-threaded and faster. ' 'Picard is the legacy option. (default: %(default)s)') parser.add_argument( '--NOVOALIGN_LICENSE_PATH', default=None, dest="novoalign_license_path", help='A path to the novoalign.lic file. This overrides the NOVOALIGN_LICENSE_PATH environment variable. (default: %(default)s)' ) parser.add_argument('--skipRealign', dest="skip_realign", action='store_true', default=False, help='Deprecated no-op. GATK realignment has been removed.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, align_and_fix, split_args=True) return parser __commands__.append(('align_and_fix', parser_align_and_fix)) # ========================= def filter_bam_to_proper_primary_mapped_reads(inBam, outBam, doNotRequirePairsToBeProper=False, keepSingletons=False, keepDuplicates=False): ''' Take a BAM file and filter to only reads that are properly paired and mapped. Optionally reject singletons, and optionally require reads to be properly paired and mapped. Output includes reads that are: - not flagged as duplicates - not secondary or supplementary (split/chimeric reads) - For paired-end reads: - marked as proper pair (if require_pairs_to_be_proper=True) OR both not unmapped (if require_pairs_to_be_proper=False) OR not a member of a pair with a singleton (if reject_singletons=True) - For single-end reads: mapped ''' samtools_tool = samtools.SamtoolsTool() samtools_tool.filter_to_proper_primary_mapped_reads(inBam, outBam, require_pairs_to_be_proper=not doNotRequirePairsToBeProper, reject_singletons=not keepSingletons, reject_duplicates=not keepDuplicates) return 0 def parser_filter_bam_to_proper_primary_mapped_reads(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input aligned reads, BAM format.') parser.add_argument('outBam', help='Output reads, BAM format.') parser.add_argument( '--doNotRequirePairsToBeProper', help='Do not require reads to be properly paired when filtering (default: %(default)s)', action='store_true' ) parser.add_argument( '--keepSingletons', help='Keep singleton reads when filtering (default: %(default)s)', action='store_true' ) parser.add_argument( '--keepDuplicates', help='When filtering, do not exclude reads due to being flagged as duplicates (default: %(default)s)', action='store_true' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, filter_bam_to_proper_primary_mapped_reads, split_args=True) return parser # ========================= def minimap2_idxstats(inBam, refFasta, outStats, outReadlist=None, threads=None): ''' Align reads to reference with minimap2 and produce idxstats-like counts. This uses PAF output format (no SAM/BAM generation) for faster alignment and streams the output directly without intermediate files. Args: inBam: Input reads (BAM format) refFasta: Reference genome (FASTA format) outStats: Output file in samtools idxstats format outReadlist: Optional output file with read IDs that mapped (or None to skip) threads: Number of threads for alignment (default: auto-detect) ''' mm2 = minimap2.Minimap2() mm2.idxstats(inBam, refFasta, outStats, outReadlist=outReadlist, threads=threads) def parser_minimap2_idxstats(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input unaligned reads, BAM format.') parser.add_argument('refFasta', help='Reference genome, FASTA format.') parser.add_argument('outStats', help='Output idxstats file (tab-separated: ref_name, ref_length, mapped_count, 0).') parser.add_argument('--outReadlist', help='Optional output file listing read IDs that mapped.', default=None) util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, minimap2_idxstats, split_args=True) return parser __commands__.append(('minimap2_idxstats', parser_minimap2_idxstats)) def bwamem_idxstats(inBam, refFasta, outBam=None, outStats=None, min_score_to_filter=None, aligner_options=None, filterReadsAfterAlignment=False, doNotRequirePairsToBeProper=False, keepSingletons=False, keepDuplicates=False): ''' Take reads, align to reference with BWA-MEM and perform samtools idxstats. Optionally filter reads after alignment, prior to reporting idxstats, to include only those flagged as properly paired. ''' assert outBam or outStats, "Either outBam or outStats must be specified" bam_aligned = util_file.mkstempfname('.aligned.bam') if outBam is None: bam_filtered = mkstempfname('.filtered.bam') else: bam_filtered = outBam samtools_tool = samtools.SamtoolsTool() bwa_tool = bwa.Bwa() ref_indexed = util_file.mkstempfname('.reference.fasta') shutil.copyfile(refFasta, ref_indexed) bwa_tool.index(ref_indexed) bwa_opts = [] if aligner_options is None else aligner_options.split() bwa_tool.mem(inBam, ref_indexed, bam_aligned, options=bwa_opts, min_score_to_filter=min_score_to_filter) if filterReadsAfterAlignment: samtools_tool.filter_to_proper_primary_mapped_reads(bam_aligned, bam_filtered, require_pairs_to_be_proper=not doNotRequirePairsToBeProper, reject_singletons=not keepSingletons, reject_duplicates=not keepDuplicates) os.unlink(bam_aligned) else: shutil.move(bam_aligned, bam_filtered) if outStats is not None: samtools_tool.idxstats(bam_filtered, outStats) if outBam is None: os.unlink(bam_filtered) def parser_bwamem_idxstats(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input unaligned reads, BAM format.') parser.add_argument('refFasta', help='Reference genome, FASTA format, pre-indexed by Picard and Novoalign.') parser.add_argument('--outBam', help='Output aligned, indexed BAM file', default=None) parser.add_argument('--outStats', help='Output idxstats file', default=None) parser.add_argument( '--minScoreToFilter', dest="min_score_to_filter", type=int, help=("Filter bwa alignments using this value as the minimum allowed " "alignment score. Specifically, sum the alignment scores across " "all alignments for each query (including reads in a pair, " "supplementary and secondary alignments) and then only include, " "in the output, queries whose summed alignment score is at least " "this value. This is only applied when the aligner is 'bwa'. " "The filtering on a summed alignment score is sensible for reads " "in a pair and supplementary alignments, but may not be " "reasonable if bwa outputs secondary alignments (i.e., if '-a' " "is in the aligner options). (default: not set - i.e., do not " "filter bwa's output)") ) parser.add_argument( '--alignerOptions', dest="aligner_options", help="bwa options (default: bwa defaults)") parser.add_argument( '--filterReadsAfterAlignment', help=("If specified, reads till be filtered after alignment to include only those flagged as properly paired." "This excludes secondary and supplementary alignments."), action='store_true' ) parser.add_argument( '--doNotRequirePairsToBeProper', help='Do not require reads to be properly paired when filtering (default: %(default)s)', action='store_true' ) parser.add_argument( '--keepSingletons', help='Keep singleton reads when filtering (default: %(default)s)', action='store_true' ) parser.add_argument( '--keepDuplicates', help='When filtering, do not exclude reads due to being flagged as duplicates (default: %(default)s)', action='store_true' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, bwamem_idxstats, split_args=True) return parser __commands__.append(('bwamem_idxstats', parser_bwamem_idxstats)) def parser_extract_tarball(parser=argparse.ArgumentParser()): parser.add_argument('tarfile', help='Input tar file. May be "-" for stdin.') parser.add_argument('out_dir', help='Output directory') parser.add_argument('--compression', help='Compression type (default: %(default)s). Auto-detect is incompatible with stdin input unless pipe_hint is specified.', choices=('gz', 'bz2', 'lz4', 'zip', 'none', 'auto'), default='auto') parser.add_argument('--pipe_hint', help='If tarfile is stdin, you can provide a file-like URI string for pipe_hint which ends with a common compression file extension if you want to use compression=auto.', default=None) util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, main_extract_tarball, split_args=True) return parser def main_extract_tarball(*args, **kwargs): ''' Extract an input .tar, .tgz, .tar.gz, .tar.bz2, .tar.lz4, or .zip file to a given directory (or we will choose one on our own). Emit the resulting directory path to stdout. ''' print(util_file.extract_tarball(*args, **kwargs)) __commands__.append(('extract_tarball', parser_extract_tarball)) # ========================= def fasta_read_names(in_fasta, out_read_names): """Save the read names of reads in a .fasta file to a text file""" with util_file.open_or_gzopen(in_fasta) as in_fasta_f, open(out_read_names, 'wt') as out_read_names_f: last_read_name = None for line in in_fasta_f: if line.startswith('>'): read_name = line[1:].strip() if read_name.endswith('/1') or read_name.endswith('/2'): read_name = read_name[:-2] if read_name != last_read_name: out_read_names_f.write(read_name+'\n') last_read_name = read_name def read_names(in_reads, out_read_names, threads=None): """Extract read names from a sequence file""" _in_reads = in_reads with util_file.tmp_dir(suffix='_read_names.txt') as t_dir: if in_reads.endswith('.bam'): _in_reads = os.path.join(t_dir, 'reads.fasta') samtools.SamtoolsTool().bam2fa(in_reads, _in_reads) fasta_read_names(_in_reads, out_read_names) def parser_read_names(parser=argparse.ArgumentParser()): parser.add_argument('in_reads', help='the input reads ([compressed] fasta or bam)') parser.add_argument('out_read_names', help='the read names') util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, read_names, split_args=True) return parser __commands__.append(('read_names', parser_read_names)) # ================================ # *** trim_rmdup_subsamp *** # ================================ def trim_rmdup_subsamp_reads(inBam, clipDb, outBam, n_reads=100000, trim_opts=None, threads=None): '''Take reads through Trimmomatic, Prinseq, and subsampling. This function performs three main operations: 1. Trimmomatic: adapter trimming and quality filtering 2. Prinseq: duplicate read removal 3. Subsampling: reduce to target read count Args: inBam: Input unaligned BAM file clipDb: Trimmomatic adapter clip database (FASTA) outBam: Output unaligned BAM file n_reads: Target number of individual reads (default: 100000) trim_opts: Optional dict of Trimmomatic options threads: Number of threads for Trimmomatic (default: all available) Returns: Tuple of (n_input, n_trim, n_rmdup, n_output, n_paired_subsamp, n_unpaired_subsamp) where all counts are individual reads (not pairs). ''' threads = util_misc.sanitize_thread_count(threads) downsamplesam = picard.DownsampleSamTool() samtools_tool = samtools.SamtoolsTool() prinseq_tool = prinseq.PrinseqTool() if n_reads < 1: raise ValueError("n_reads must be >= 1") # Use nested context managers for all temp files with util_file.tempfnames(suffixes=['.in.1.fastq', '.in.2.fastq']) as infq, \ util_file.tempfnames(suffixes=['.trim.1.fastq', '.trim.2.fastq']) as trimfq, \ util_file.tempfnames(suffixes=['.trim.unpaired.1.fastq', '.trim.unpaired.2.fastq']) as trimfq_unpaired, \ util_file.tempfnames(suffixes=['.rmdup.1.fastq', '.rmdup.2.fastq']) as rmdupfq, \ util_file.tempfnames(suffixes=['.rmdup.unpaired.1.fastq', '.rmdup.unpaired.2.fastq']) as rmdupfq_unpaired_from_paired_rmdup, \ util_file.tempfname(suffix='.header.sam') as tmp_header, \ util_file.tempfname(suffix='.paired.bam') as tmp_bam_paired: # BAM -> fastq picard.SamToFastqTool().execute(inBam, infq[0], infq[1]) n_input = util_file.count_fastq_reads(infq[0]) # --- Trimmomatic --- if n_input == 0: for i in range(2): shutil.copyfile(infq[i], trimfq[i]) else: trimmomatic.TrimmomaticTool().execute( infq[0], infq[1], trimfq[0], trimfq[1], clipDb, unpairedOutFastq1=trimfq_unpaired[0], unpairedOutFastq2=trimfq_unpaired[1], threads=threads, **(trim_opts or {}) ) n_trim = max(map(util_file.count_fastq_reads, trimfq)) # count is pairs n_trim_unpaired = sum(map(util_file.count_fastq_reads, trimfq_unpaired)) # count is individual reads # --- Prinseq duplicate removal --- prinseq_tool.rmdup_fastq_paired( trimfq[0], trimfq[1], rmdupfq[0], rmdupfq[1], includeUnmated=False, unpairedOutFastq1=rmdupfq_unpaired_from_paired_rmdup[0], unpairedOutFastq2=rmdupfq_unpaired_from_paired_rmdup[1] ) n_rmdup_paired = max(map(util_file.count_fastq_reads, rmdupfq)) # count is pairs n_rmdup = n_rmdup_paired # count is pairs samtools_tool.dumpHeader(inBam, tmp_header) # convert paired reads to bam # stub out an empty file if the input fastqs are empty if all(os.path.getsize(x) > 0 for x in rmdupfq): picard.FastqToSamTool().execute(rmdupfq[0], rmdupfq[1], 'Dummy', tmp_bam_paired) else: opts = ['INPUT=' + tmp_header, 'OUTPUT=' + tmp_bam_paired, 'VERBOSITY=ERROR'] picard.PicardTools().execute('SamFormatConverter', opts, JVMmemory='50m') n_paired_subsamp = 0 n_unpaired_subsamp = 0 n_rmdup_unpaired = 0 did_include_subsampled_unpaired_reads = False # --- subsampling --- # if we have too few paired reads after trimming and de-duplication, we can incorporate unpaired reads if n_rmdup_paired * 2 < n_reads: # Need to include unpaired reads to reach target with util_file.tempfname(suffix='.unpaired.fastq') as unpaired_concat, \ util_file.tempfname(suffix='.unpaired.rmdup.fastq') as unpaired_concat_rmdup: # merge unpaired reads from trimmomatic and singletons left over from paired-mode prinseq util_file.cat(unpaired_concat, trimfq_unpaired + rmdupfq_unpaired_from_paired_rmdup) prinseq_tool.rmdup_fastq_single(unpaired_concat, unpaired_concat_rmdup) n_rmdup_unpaired = util_file.count_fastq_reads(unpaired_concat_rmdup) did_include_subsampled_unpaired_reads = True # if there are no unpaired reads, simply output the paired reads if n_rmdup_unpaired == 0: shutil.copyfile(tmp_bam_paired, outBam) n_output = samtools_tool.count(outBam) else: with util_file.tempfname(suffix='.unpaired.bam') as tmp_bam_unpaired, \ util_file.tempfname(suffix='.unpaired.subsamp.bam') as tmp_bam_unpaired_subsamp, \ util_file.tempfname(suffix='.merged.bam') as tmp_bam_merged: # take pooled unpaired reads and convert to bam picard.FastqToSamTool().execute(unpaired_concat_rmdup, None, 'Dummy', tmp_bam_unpaired) reads_to_add = (n_reads - (n_rmdup_paired * 2)) downsamplesam.downsample_to_approx_count(tmp_bam_unpaired, tmp_bam_unpaired_subsamp, reads_to_add) n_unpaired_subsamp = samtools_tool.count(tmp_bam_unpaired_subsamp) # merge the subsampled unpaired reads into the bam picard.MergeSamFilesTool().execute([tmp_bam_paired, tmp_bam_unpaired_subsamp], tmp_bam_merged) samtools_tool.reheader(tmp_bam_merged, tmp_header, outBam) n_paired_subsamp = n_rmdup_paired # count is pairs n_output = n_rmdup_paired * 2 + n_unpaired_subsamp # count is individual reads else: did_include_subsampled_unpaired_reads = False log.info("PRE-SUBSAMPLE COUNT: %s read pairs", n_rmdup_paired) with util_file.tempfname(suffix='.paired.subsamp.bam') as tmp_bam_paired_subsamp: downsamplesam.downsample_to_approx_count(tmp_bam_paired, tmp_bam_paired_subsamp, n_reads) n_paired_subsamp = samtools_tool.count(tmp_bam_paired_subsamp) // 2 # count is pairs n_output = n_paired_subsamp * 2 # count is individual reads samtools_tool.reheader(tmp_bam_paired_subsamp, tmp_header, outBam) n_final_individual_reads = samtools_tool.count(outBam) log.info("Pre-DeNovoAssembly read filters: ") log.info(" %d read pairs at start", n_input) log.info( " %d read pairs after Trimmomatic %s", n_trim, "(and {} unpaired)".format(n_trim_unpaired) if n_trim_unpaired > 0 else "" ) log.info( " %d read pairs after Prinseq rmdup %s", n_rmdup, "(and {} unpaired from Trimmomatic+Prinseq)".format(n_rmdup_unpaired) if n_rmdup_unpaired > 0 else "" ) if did_include_subsampled_unpaired_reads: log.info( " Too few individual reads (%d*2=%d) from paired reads to reach desired threshold (%d), " "so including subsampled unpaired reads", n_rmdup_paired, n_rmdup_paired * 2, n_reads ) else: log.info(" Paired read count sufficient to reach threshold (%d)", n_reads) log.info( " %d individual reads for de novo assembly (%s%s)", n_output, "paired subsampled {} -> {}".format(n_rmdup_paired, n_paired_subsamp) if not did_include_subsampled_unpaired_reads else "{} read pairs".format(n_rmdup_paired), " + unpaired subsampled {} -> {}".format(n_rmdup_unpaired, n_unpaired_subsamp) if did_include_subsampled_unpaired_reads else "" ) log.info(" %d individual reads", n_final_individual_reads) if did_include_subsampled_unpaired_reads: if n_final_individual_reads < n_reads: log.warning( "NOTE: Even with unpaired reads included, there are fewer unique trimmed reads " "than requested for de novo assembly input." ) # multiply counts so all reflect individual reads return (n_input * 2, n_trim * 2, n_rmdup * 2, n_output, n_paired_subsamp * 2, n_unpaired_subsamp) def parser_trim_rmdup_subsamp(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, unaligned BAM format.') parser.add_argument('clipDb', help='Trimmomatic clip DB (FASTA with adapter sequences).') parser.add_argument( 'outBam', help='''Output reads, unaligned BAM format (currently, read groups and other header information are destroyed in this process).''' ) parser.add_argument( '--n_reads', default=100000, type=int, help='''Subsample to no more than this many individual reads. Note that paired reads are given priority, and unpaired reads are included to reach the count if there are too few paired reads. (default: %(default)s)''' ) util_cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, trim_rmdup_subsamp_reads, split_args=True) return parser __commands__.append(('trim_rmdup_subsamp', parser_trim_rmdup_subsamp)) # ========================= def full_parser(): return util_cmd.make_parser(__commands__, __doc__) def main(): util_cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/reports.py ================================================ #!/usr/bin/env python3 ''' Functions to create reports from genomics pipeline data. ''' __author__ = "dpark@broadinstitute.org" __commands__ = [] import argparse import logging import glob import os import time from collections import OrderedDict, defaultdict import csv import math import shutil import pysam from pybedtools import BedTool import Bio.SeqIO import matplotlib matplotlib.use('Agg') import matplotlib.pyplot from .core import file as util_file, misc as util_misc, cmd as util_cmd from .core import samtools from .core import bwa from .core import fastqc from .core import picard from .core.stats import mean, median log = logging.getLogger(__name__) def get_assembly_stats(sample, cov_thresholds=(1, 5, 20, 100), assembly_dir='data/02_assembly', assembly_tmp='tmp/02_assembly', align_dir='data/02_align_to_self', reads_dir='data/01_per_sample', raw_reads_dir='data/00_raw'): ''' Fetch assembly-level statistics for a given sample ''' out = {'sample': sample} samtools_tool = samtools.SamtoolsTool() header = ['sample', 'reads_raw', 'reads_cleaned', 'reads_taxfilt', 'assembled_trinity', 'trinity_in_reads', 'n_contigs', 'contig_len', 'unambig_bases', 'pct_unambig', 'aln2self_reads_tot', 'aln2self_reads_aln', 'aln2self_reads_rmdup', 'aln2self_pct_nondup', 'aln2self_cov_median', 'aln2self_cov_mean', 'aln2self_cov_mean_non0',] + ['aln2self_cov_%dX' % t for t in cov_thresholds] # per-sample unaligned read stats for adj in ('cleaned', 'taxfilt'): reads_bam = os.path.join(reads_dir, '.'.join((sample, adj, 'bam'))) if os.path.isfile(reads_bam): out['reads_' + adj] = samtools_tool.count(reads_bam) if os.path.isdir(raw_reads_dir): out['reads_raw'] = sum(samtools_tool.count(bam) # correct issue where sample names containing other sample names as substrings leads # to extra files being included in the count # # add a dot before the wildcard, and assume the sample name is found before the dot. # this works for now since dots are the filename field separators # and leading/trailing dots are stripped from sample names in util_file.string_to_file_name() # TODO: replace this with better filtering? for bam in glob.glob(os.path.join(raw_reads_dir, sample + ".*.bam"))) sample_raw_fname = os.path.join(raw_reads_dir, sample + ".bam") if os.path.isfile(sample_raw_fname): # if "00_raw/sample.bam" exists, these were not demuxed by snakemake if out['reads_raw']: # if sample.bam AND sample.library.flowcell.lane.bam exist, we have a problem! out['reads_raw'] = 'ambiguous filenames in raw reads directory!' else: # just count the sample.bam reads out['reads_raw'] = samtools_tool.count(sample_raw_fname) # pre-assembly stats out['assembled_trinity'] = os.path.isfile(os.path.join(assembly_tmp, sample + '.assembly1-trinity.fasta')) and 1 or 0 sub_bam = os.path.join(assembly_tmp, sample + '.subsamp.bam') if os.path.isfile(sub_bam): out['trinity_in_reads'] = samtools_tool.count(sub_bam) # assembly stats assembly_fname = os.path.join(assembly_dir, sample + '.fasta') if not os.path.isfile(assembly_fname): assembly_fname = os.path.join(assembly_tmp, sample + '.assembly2-scaffolded.fasta') if not os.path.isfile(assembly_fname): out['n_contigs'] = 0 if os.path.isfile(assembly_fname): with open(assembly_fname, 'rt') as inf: counts = [(len(s), util_misc.unambig_count(s.seq)) for s in Bio.SeqIO.parse(inf, 'fasta') if len(s) > 0] out['n_contigs'] = len(counts) out['contig_len'] = ','.join(str(x) for x, y in counts) out['unambig_bases'] = ','.join(str(y) for x, y in counts) out['pct_unambig'] = ','.join(str(float(y) / x) for x, y in counts) # read counts from align-to-self bam_fname = os.path.join(align_dir, sample + '.bam') if os.path.isfile(bam_fname): out['aln2self_reads_tot'] = samtools_tool.count(bam_fname) out['aln2self_reads_aln'] = samtools_tool.count(bam_fname, opts=['-F', '4']) out['aln2self_reads_rmdup'] = samtools_tool.count(bam_fname, opts=['-F', '1028']) if out['aln2self_reads_aln']: out['aln2self_pct_nondup'] = float(out['aln2self_reads_rmdup']) / out['aln2self_reads_aln'] # genome coverage stats bam_fname = os.path.join(align_dir, sample + '.mapped.bam') if os.path.isfile(bam_fname): with pysam.AlignmentFile(bam_fname, 'rb') as bam: coverages = list([pcol.nsegments for pcol in bam.pileup()]) if coverages: out['aln2self_cov_median'] = median(coverages) out['aln2self_cov_mean'] = "%0.3f" % mean(coverages) out['aln2self_cov_mean_non0'] = "%0.3f" % mean([n for n in coverages if n > 0]) for thresh in cov_thresholds: out['aln2self_cov_%dX' % thresh] = sum(1 for n in coverages if n >= thresh) return (header, out) def genome_coverage_stats_only(mapped_bam, chr_name=None, cov_thresholds=(1, 5, 20, 100)): out = {} with pysam.AlignmentFile(mapped_bam, 'rb') as bam: coverages = list([pcol.nsegments for pcol in bam.pileup(chr_name)]) if coverages: out['aln2self_cov_median'] = median(coverages) out['aln2self_cov_mean'] = "%0.3f" % mean(coverages) out['aln2self_cov_mean_non0'] = "%0.3f" % mean([n for n in coverages if n > 0]) for thresh in cov_thresholds: out['aln2self_cov_%dX' % thresh] = sum(1 for n in coverages if n >= thresh) return out def assembly_stats(samples, outFile, cov_thresholds, assembly_dir, assembly_tmp, align_dir, reads_dir, raw_reads_dir): ''' Fetch assembly-level statistics for a given sample ''' header_written = False with open(outFile, 'wt') as outf: for sample in samples: log.info("fetching stats on " + sample) header, out = get_assembly_stats(sample, cov_thresholds=cov_thresholds, assembly_dir=assembly_dir, assembly_tmp=assembly_tmp, align_dir=align_dir, reads_dir=reads_dir, raw_reads_dir=raw_reads_dir) if not header_written: outf.write('\t'.join(map(str, header)) + '\n') header_written = True outf.write('\t'.join([str(out.get(h, '')) for h in header]) + '\n') outf.flush() def parser_assembly_stats(parser=argparse.ArgumentParser()): parser.add_argument('samples', nargs='+', help='Sample names.') parser.add_argument('outFile', help='Output report file.') parser.add_argument('--cov_thresholds', nargs='+', type=int, default=(1, 5, 20, 100), help='Genome coverage thresholds to report on. (default: %(default)s)') parser.add_argument('--assembly_dir', default='data/02_assembly', help='Directory with assembly outputs. (default: %(default)s)') parser.add_argument('--assembly_tmp', default='tmp/02_assembly', help='Directory with assembly temp files. (default: %(default)s)') parser.add_argument('--align_dir', default='data/02_align_to_self', help='Directory with reads aligned to own assembly. (default: %(default)s)') parser.add_argument('--reads_dir', default='data/01_per_sample', help='Directory with unaligned filtered read BAMs. (default: %(default)s)') parser.add_argument('--raw_reads_dir', default='data/00_raw', help='Directory with unaligned raw read BAMs. (default: %(default)s)') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, assembly_stats, split_args=True) return parser __commands__.append(('assembly_stats', parser_assembly_stats)) def _get_samples_from_bam(bam): with pysam.AlignmentFile(bam) as af: return set(rg['SM'] for rg in af.header['RG']) def _get_chrs_from_bam(bam): with pysam.AlignmentFile(bam) as af: return list(sq['SN'] for sq in af.header['SQ']) def parser_coverage_only(parser=argparse.ArgumentParser()): parser.add_argument('mapped_bams', nargs='+', help='Aligned-to-self mapped bam files.') parser.add_argument('out_report', help='Output report file.') parser.add_argument('--cov_thresholds', nargs='+', type=int, default=(1, 5, 20, 100), help='Genome coverage thresholds to report on. (default: %(default)s)') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, coverage_only, split_args=True) return parser def coverage_only(mapped_bams, out_report, cov_thresholds=(1, 5, 20, 100)): header = ['sample','aln2self_cov_median', 'aln2self_cov_mean', 'aln2self_cov_mean_non0'] header += ['aln2self_cov_%dX' % thresh for thresh in cov_thresholds] with open(out_report, 'wt') as outf: outf.write('\t'.join(header)+'\n') for bam in mapped_bams: # check for index and auto-create if needed with pysam.AlignmentFile(bam) as af: is_indexed = af.has_index() if not is_indexed: pysam.index(bam) # get unique sample name samples = _get_samples_from_bam(bam) if len(samples) != 1: raise Exception("input bam file {} has {} unique samples: {} (require one unique sample)".format(bam, len(samples), str(samples))) sample_name = samples.pop() # get and write coverage stats row = genome_coverage_stats_only(bam, cov_thresholds=cov_thresholds) row['sample'] = sample_name outf.write('\t'.join([str(row.get(h,'')) for h in header])+'\n') # for multi-seg genomes, also do per-chr stats chrs = _get_chrs_from_bam(bam) if len(chrs) > 1: for i in range(len(chrs)): row = genome_coverage_stats_only(bam, chr_name=chrs[i], cov_thresholds=cov_thresholds) row['sample'] = "{}-{}".format(sample_name, i+1) outf.write('\t'.join([str(row.get(h,'')) for h in header])+'\n') __commands__.append(('coverage_only', parser_coverage_only)) def consolidate_fastqc(inDirs, outFile): '''Consolidate multiple FASTQC reports into one.''' with util_file.open_or_gzopen(outFile, 'wt') as outf: header = ['Sample'] out_n = 0 for sdir in inDirs: out = {} with open(os.path.join(sdir, 'summary.txt'), 'rt') as inf: for line in inf: v, k, fn = line.strip().split('\t') out[k] = v if out_n == 0: header.append(k) if not fn.endswith('.bam'): raise TypeError("%s not a bam file" % fn) out['Sample'] = fn[:-len('.bam')] if out_n == 0: outf.write('\t'.join(header) + '\n') outf.write('\t'.join([out.get(h, '') for h in header]) + '\n') out_n += 1 def parser_consolidate_fastqc(parser=argparse.ArgumentParser()): parser.add_argument('inDirs', help='Input FASTQC directories.', nargs='+') parser.add_argument('outFile', help='Output report file.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, consolidate_fastqc, split_args=True) return parser __commands__.append(('consolidate_fastqc', parser_consolidate_fastqc)) def get_bam_info(bamstats_dir): libs = {} for fn in glob.glob(os.path.join(bamstats_dir, "*.txt")): with util_file.open_or_gzopen(fn, 'rt') as inf: bam = {} for line in inf: k, v = line.rstrip('\n').split('\t') bam[k] = v libs.setdefault(bam['Sample'], {}) libs[bam['Sample']][bam['BAM']] = bam['Total reads'] return libs def get_lib_info(runfile): libs = {} for lane in util_file.read_tabfile_dict(runfile): for well in util_file.read_tabfile_dict(lane['barcode_file']): libname = well['sample'] + '.l' + well['library_id_per_sample'] libs.setdefault(libname, []) plate = well['Plate'] if plate.lower().startswith('plate'): plate = plate[5:] well_id = well['Well'][0].upper() + "%02d" % int(well['Well'][1:]) dat = [well['sample'], lane['flowcell'] + '.' + lane['lane'], well['barcode_1'] + '-' + well['barcode_2'], plate.strip() + ':' + well_id, get_earliest_date(lane['bustard_dir']), well.get('Tube_ID', '')] libs[libname].append(dat) return libs def get_earliest_date(inDir): fnames = [inDir] + [os.path.join(inDir, x) for x in os.listdir(inDir)] earliest = min(os.path.getmtime(fn) for fn in fnames) return time.strftime("%Y-%m-%d", time.localtime(earliest)) def consolidate_spike_count(in_dir, out_file): '''Consolidate multiple spike count reports into one.''' with open(out_file, 'wt') as outf: for fn in os.listdir(in_dir): fn = os.path.join(in_dir, fn) s = os.path.basename(fn) if not s.endswith('.spike_count.txt'): raise Exception() s = s[:-len('.spike_count.txt')] with open(fn, 'rt') as inf: for line in inf: if not line.startswith('Input bam') and not line.startswith('*'): spike, count = [line.strip().split('\t')[i] for i in [0,2]] outf.write('\t'.join([s, spike, count]) + '\n') def parser_consolidate_spike_count(parser=argparse.ArgumentParser()): parser.add_argument('in_dir', metavar="inDir", help='Input spike count directory.') parser.add_argument('out_file', metavar="outFile", help='Output report file.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, consolidate_spike_count, split_args=True) return parser __commands__.append(('consolidate_spike_count', parser_consolidate_spike_count)) def aggregate_spike_count(in_dir, out_file): '''aggregate multiple spike count reports into one.''' spike_in_sample_counts = defaultdict(dict) # For a given spikein ID, map to sample name and corresponding count samples_seen = [] with open(out_file, 'wt') as outf: for fn in glob.glob(os.path.realpath(in_dir)+"/*.spike_count.txt"):# os.listdir(): #fn = os.path.join(in_dir, fn) s = os.path.basename(fn) if not s.endswith('.spike_count.txt'): raise Exception() if s.find('.spike_count.txt'): s = s[:-len('.spike_count.txt')] if s not in samples_seen: samples_seen.append(s) with open(fn, 'rt') as inf: for line in inf: if not line.startswith('Input bam') and not line.startswith('*'): spike, count = [line.strip().split('\t')[i] for i in [0,2]] spike_in_sample_counts[spike][s] = count #outf.write('\t'.join([s, spike, count]) + '\n') outf.write("\t".join(["spike-in"]+samples_seen)+"\n") for spike in sorted(spike_in_sample_counts.keys()): row = [] row.append(spike) for s in samples_seen: if s in spike_in_sample_counts[spike]: row.append(spike_in_sample_counts[spike][s]) else: row.append("0") outf.write("\t".join(row)+"\n") def parser_aggregate_spike_count(parser=argparse.ArgumentParser()): parser.add_argument('in_dir', metavar="inDir", help='Input spike count directory.') parser.add_argument('out_file', metavar="outFile", help='Output report file.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, aggregate_spike_count, split_args=True) return parser __commands__.append(('aggregate_spike_count', parser_aggregate_spike_count)) def aggregate_alignment_counts(in_reports, out_file): '''aggregate multiple reports from read_utils.py bwamem_idxstats into one report.''' seq_in_sample_counts = defaultdict(dict) # For a given ref sequence ID, map to input file and corresponding count input_files_seen = [] with open(out_file, 'wt') as outf: for in_report in in_reports: short_name = os.path.basename(in_report) for suffix in ['.txt','.tsv']: if short_name.endswith(suffix): short_name = short_name[:-len(suffix)] if short_name not in input_files_seen: input_files_seen.append(short_name) with open(in_report, 'rt') as inf: for line in inf: if not line.startswith('Input bam') and not line.startswith('*'): seq_mapped_to, count = [line.strip().split('\t')[i] for i in [0,2]] seq_in_sample_counts[seq_mapped_to][short_name] = count outf.write("\t".join(["seq_mapped_to"]+sorted(input_files_seen))+"\n") for seq_mapped_to in sorted(seq_in_sample_counts.keys()): row = [] row.append(seq_mapped_to) for s in sorted(input_files_seen): if s in seq_in_sample_counts[seq_mapped_to]: row.append(seq_in_sample_counts[seq_mapped_to][s]) else: row.append("0") outf.write("\t".join(row)+"\n") def parser_aggregate_alignment_counts(parser=argparse.ArgumentParser()): parser.add_argument('in_reports', nargs="+", metavar="in_reports", help='tsv reports with alignment counts from read_utils.py bwamem_idxstats') parser.add_argument('out_file', metavar="outFile", help='Output report file.') util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, aggregate_alignment_counts, split_args=True) return parser __commands__.append(('aggregate_alignment_counts', parser_aggregate_alignment_counts)) # ========================= def parser_plot_coverage_common(parser=argparse.ArgumentParser()): # parser needs add_help=False? parser.add_argument('in_bam', help='Input reads, BAM format.') parser.add_argument('out_plot_file', help='The generated chart file') parser.add_argument( '--plotFormat', dest="plot_format", default=None, type=str, choices=list(matplotlib.pyplot.gcf().canvas.get_supported_filetypes().keys()), metavar='', help="File format of the coverage plot. By default it is inferred from the file extension of out_plot_file, but it can be set explicitly via --plotFormat. Valid formats include: " + ", ".join(list(matplotlib.pyplot.gcf().canvas.get_supported_filetypes().keys())) ) parser.add_argument( '--plotDataStyle', dest="plot_data_style", default="filled", type=str, choices=["filled", "line", "dots"], metavar='', help="The plot data display style. Valid options: " + ", ".join(["filled", "line", "dots"]) + " (default: %(default)s)" ) parser.add_argument( '--plotStyle', dest="plot_style", default="ggplot", type=str, choices=matplotlib.pyplot.style.available, metavar='', help="The plot visual style. Valid options: " + ", ".join(matplotlib.pyplot.style.available) + " (default: %(default)s)" ) parser.add_argument( '--plotWidth', dest="plot_width", default=880, type=int, help="Width of the plot in pixels (default: %(default)s)" ) parser.add_argument( '--plotHeight', dest="plot_height", default=680, type=int, help="Width of the plot in pixels (default: %(default)s)" ) parser.add_argument( '--plotDPI', dest="plot_dpi", default=matplotlib.pyplot.gcf().get_dpi(), type=int, help="dots per inch for rendered output, more useful for vector modes (default: %(default)s)" ) parser.add_argument( '--plotTitle', dest="plot_title", default="Coverage Plot", type=str, help="The title displayed on the coverage plot (default: '%(default)s')" ) parser.add_argument( '--plotXLimits', dest="plot_x_limits", nargs=2, default=None, type=int, help="Limits on the x-axis of the coverage plot; args are ' '" ) parser.add_argument( '--plotYLimits', dest="plot_y_limits", nargs=2, default=None, type=int, help="Limits on the y-axis of the coverage plot; args are ' '" ) parser.add_argument( '-q', dest="base_q_threshold", default=None, type=int, help="The minimum base quality threshold" ) parser.add_argument( '-Q', dest="mapping_q_threshold", default=None, type=int, help="The minimum mapping quality threshold" ) parser.add_argument( '-m', dest="max_coverage_depth", default=None, type=int, help="The max coverage depth (default: %(default)s)" ) parser.add_argument('-l', dest="read_length_threshold", default=None, type=int, help="Read length threshold" ) parser.add_argument( '--binLargePlots', dest="bin_large_plots", action="store_true", help="Plot summary read depth in one-pixel-width bins for large plots." ) parser.add_argument( '--binningSummaryStatistic', dest="binning_summary_statistic", choices=["max", "min", "mean", "median"], type=str, default="max", help="Statistic used to summarize each bin (max or min)." ) parser.add_argument( '--outSummary', dest="out_summary", default=None, type=str, help="Coverage summary TSV file. Default is to write to temp." ) return parser def plot_coverage( in_bam, out_plot_file, plot_format, plot_data_style, plot_style, plot_width, plot_height, plot_dpi, plot_title, plot_x_limits, plot_y_limits, base_q_threshold, mapping_q_threshold, max_coverage_depth, read_length_threshold, plot_only_non_duplicates=False, bin_large_plots=False, binning_summary_statistic="max", out_summary=None ): ''' Generate a coverage plot from an aligned bam file ''' samtools_tool = samtools.SamtoolsTool() # check if in_bam is aligned, if not raise an error num_mapped_reads = samtools_tool.count(in_bam, opts=["-F", "4"]) if num_mapped_reads == 0: raise Exception( """The bam file specified appears to have zero mapped reads. 'plot_coverage' requires an aligned bam file. You can try 'align_and_plot_coverage' if the plot input bam file contains reads and you don't mind a simple bwa alignment. \n File: %s""" % in_bam ) if out_summary is None: coverage_tsv_file = util_file.mkstempfname('.summary.tsv') else: coverage_tsv_file = out_summary bam_dupe_processed = util_file.mkstempfname('.dupe_processed.bam') if plot_only_non_duplicates: # TODO: this is probably not necessary since "samtools depth" does not count marked duplicates # write a new bam file; exclude reads with the 1024 flag set (PCR or optical duplicates) samtools_tool.view(["-F", "1024", '-@', '3'], in_bam, bam_dupe_processed) else: bam_dupe_processed = in_bam # only sort if not sorted bam_sorted = util_file.mkstempfname('.sorted.bam') should_remove_sorted = True if not util_file.bam_is_sorted(bam_dupe_processed): samtools_tool.sort(bam_dupe_processed, bam_sorted, args=["-O", "bam"]) if plot_only_non_duplicates: os.unlink(bam_dupe_processed) else: bam_sorted = bam_dupe_processed if not plot_only_non_duplicates: # in this case we are passing through the original in_bam directly should_remove_sorted = False # call samtools index samtools_tool.index(bam_sorted) # call samtools depth opts = [] opts += ['-aa'] # report coverate at "absolutely all" positions if base_q_threshold: if not plot_only_non_duplicates: # Note: "bedtools genomecov" will count depth including duplicates, but does # not expose options for filtering by quality. When duplicates # are excluded, "samtools depth" is used which does support quality filtering # We use either samtools or bedtools, because the former ignores marked duplicates # from its depth count while bedtools includes them. log.warning("'-q' ignored since --plotOnlyNonDuplicates is absent") opts += ["-q", str(base_q_threshold)] if mapping_q_threshold: if not plot_only_non_duplicates: log.warning("'-Q' ignored since --plotOnlyNonDuplicates is absent") opts += ["-Q", str(mapping_q_threshold)] if max_coverage_depth: if not plot_only_non_duplicates: log.warning("'-m' ignored since --plotOnlyNonDuplicates is absent") opts += ["-m", str(max_coverage_depth)] if read_length_threshold: if not plot_only_non_duplicates: log.warning("'-l' ignored since --plotOnlyNonDuplicates is absent") opts += ["-l", str(read_length_threshold)] # add option here for bedtools to report coverage w/ duplicates # (and then samtools for no-dups) # # Ex. # samtools depth -aa mapped-to-ref.with-dups.tmp.bam # bedtools genomecov -ibam mapped-to-ref.with-dups.tmp.bam -d if not plot_only_non_duplicates: bt = BedTool(bam_sorted) # "d=True" is the equivalent of passing "-d" to the bedtools CLI bt.genome_coverage(d=True).saveas(coverage_tsv_file) else: samtools_tool.depth(bam_sorted, coverage_tsv_file, opts) # only remove the sorted bam if it is not the original input bam # which we use directly in some casess if should_remove_sorted: os.unlink(bam_sorted) # ---- create plot based on coverage_tsv_file ---- segment_depths = OrderedDict() domain_max = 0 with open(coverage_tsv_file, "r") as tabfile: for row in csv.reader(tabfile, delimiter='\t'): segment_depths.setdefault(row[0], []).append(float(row[2])) domain_max += 1 with matplotlib.pyplot.style.context(plot_style): fig = matplotlib.pyplot.gcf() DPI = plot_dpi or fig.get_dpi() fig.set_size_inches(float(plot_width) / float(DPI), float(plot_height) / float(DPI)) font_size = (2.5 * plot_height) / float(DPI) ax = matplotlib.pyplot.subplot() # Defines ax variable by creating an empty plot # Set the tick labels font for label in (ax.get_xticklabels() + ax.get_yticklabels()): label.set_fontsize(font_size) # Binning bin_size = 1 if bin_large_plots: # Bin locations and take summary value (maximum or minimum) in each bin binning_fn = { "min": min, "max": max, "mean": mean, "median": median } binning_action = binning_fn.get(binning_summary_statistic, "max") inner_plot_width_inches = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()).width inner_plot_width_px = inner_plot_width_inches * fig.dpi # width of actual plot (sans whitespace and y axis text) bins_per_pixel = 1 # increase to make smaller (but less visible) bins bin_size = 1 + int(domain_max/(inner_plot_width_px * bins_per_pixel)) binned_segment_depths = OrderedDict() for segment_num, (segment_name, position_depths) in enumerate(segment_depths.items()): summary_depths_in_bins = [binning_action(position_depths[i:i + bin_size]) for i in range(0, len(position_depths), bin_size)] binned_segment_depths[segment_name] = summary_depths_in_bins segment_depths = binned_segment_depths # Plotting domain_max = 0 for segment_num, (segment_name, position_depths) in enumerate(segment_depths.items()): prior_domain_max = domain_max domain_max += len(position_depths) colors = list(matplotlib.pyplot.rcParams['axes.prop_cycle'].by_key()['color']) # get the colors for this style segment_color = colors[segment_num % len(colors)] # pick a color, offset by the segment index x_values = range(prior_domain_max, domain_max) x_values = [x * bin_size for x in x_values] if plot_data_style == "filled": matplotlib.pyplot.fill_between( x_values, position_depths, [0] * len(position_depths), linewidth=0, antialiased=True, color=segment_color ) elif plot_data_style == "line": matplotlib.pyplot.plot( x_values, position_depths, antialiased=True, color=segment_color ) elif plot_data_style == "dots": matplotlib.pyplot.plot( x_values, position_depths, 'ro', antialiased=True, color=segment_color ) matplotlib.pyplot.title(plot_title, fontsize=font_size * 1.2) matplotlib.pyplot.xlabel("bp", fontsize=font_size * 1.1) ylabel = "read depth" if(bin_size > 1): ylabel = "read depth ({summary} in {size}-bp bin)".format(size=bin_size, summary=binning_summary_statistic) matplotlib.pyplot.ylabel(ylabel, fontsize=font_size * 1.1) if plot_x_limits is not None: x_min, x_max = plot_x_limits matplotlib.pyplot.xlim(x_min, x_max) if plot_y_limits is not None: y_min, y_max = plot_y_limits matplotlib.pyplot.ylim(y_min, y_max) # to squash a backend renderer error on OSX related to tight layout if matplotlib.pyplot.get_backend().lower() in ['agg', 'macosx']: fig.set_tight_layout(True) else: fig.tight_layout() matplotlib.pyplot.savefig(out_plot_file, format=plot_format, dpi=DPI) #, bbox_inches='tight') log.info("Coverage plot saved to: " + out_plot_file) if not out_summary: os.unlink(coverage_tsv_file) def parser_plot_coverage(parser=argparse.ArgumentParser()): parser = parser_plot_coverage_common(parser) parser.add_argument( '--plotOnlyNonDuplicates', dest="plot_only_non_duplicates", action="store_true", help="Plot only non-duplicates (samtools -F 1024), coverage counted by bedtools rather than samtools." ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, plot_coverage, split_args=True) return parser __commands__.append(('plot_coverage', parser_plot_coverage)) def align_and_plot_coverage( out_plot_file, plot_format, plot_data_style, plot_style, plot_width, plot_height, plot_dpi, plot_title, plot_x_limits, plot_y_limits, base_q_threshold, mapping_q_threshold, max_coverage_depth, read_length_threshold, out_summary, in_bam, ref_fasta, out_bam=None, sensitive=False, excludeDuplicates=False, bin_large_plots=False, binning_summary_statistic="max", JVMmemory=None, picardOptions=None, min_score_to_filter=None, aligner="bwa", aligner_options='', novoalign_license_path=None ): ''' Take reads, align to reference with BWA-MEM, and generate a coverage plot ''' # TODO: use read_utils.py::align_and_fix in place of the duplicated alignment code here # The main difference is the presence/absence of GATK's local_realign if out_bam is None: bam_aligned = util_file.mkstempfname('.aligned.bam') else: bam_aligned = out_bam assert aligner in ["bwa", "novoalign"] if aligner_options is None: if aligner=="novoalign": aligner_options = '-r Random -l 40 -g 40 -x 20 -t 100 -k' elif aligner=='bwa': aligner_options = '-1' # hidden option to work around kernel/cpu bug; disables multithreaded file read: https://github.com/lh3/bwa/issues/102 samtools_tool = samtools.SamtoolsTool() ref_indexed = util_file.mkstempfname('.reference.fasta') shutil.copyfile(ref_fasta, ref_indexed) aln_bam = util_file.mkstempfname('.bam') if aligner=="bwa": bwa_tool = bwa.Bwa() bwa_tool.index(ref_indexed) bwa_opts = aligner_options.split() if sensitive: bwa_opts += "-k 12 -A 1 -B 1 -O 1 -E 1".split() bwa_tool.align_mem_bam(in_bam, ref_indexed, aln_bam, options=bwa_opts, min_score_to_filter=min_score_to_filter) elif aligner=="novoalign": novoalign.NovoalignTool(license_path=novoalign_license_path).index_fasta(ref_indexed) novoalign.NovoalignTool(license_path=novoalign_license_path).execute( in_bam, ref_indexed, aln_bam, options=aligner_options.split(), JVMmemory=JVMmemory ) aln_bam_dupe_processed = util_file.mkstempfname('.filtered_dupe_processed.bam') if excludeDuplicates: opts = list(picardOptions) dupe_removal_out_metrics = util_file.mkstempfname('.metrics') picard.MarkDuplicatesTool().execute( [aln_bam], aln_bam_dupe_processed, dupe_removal_out_metrics, picardOptions=opts, JVMmemory=JVMmemory ) else: aln_bam_dupe_processed = aln_bam samtools_tool.sort(aln_bam_dupe_processed, bam_aligned) os.unlink(aln_bam) if excludeDuplicates: os.unlink(aln_bam_dupe_processed) samtools.index(bam_aligned) # -- call plot function -- plot_coverage( bam_aligned, out_plot_file, plot_format, plot_data_style, plot_style, plot_width, plot_height, plot_dpi, plot_title, plot_x_limits, plot_y_limits, base_q_threshold, mapping_q_threshold, max_coverage_depth, read_length_threshold, excludeDuplicates, bin_large_plots, binning_summary_statistic, out_summary ) # remove the output bam, unless it is needed if out_bam is None: os.unlink(bam_aligned) # remove the files created by bwa index. # The empty extension causes the original fasta file to be removed for ext in [".amb", ".ann", ".bwt", ".bwa", ".pac", ".sa", ""]: file_to_remove = ref_indexed + ext if os.path.isfile(file_to_remove): os.unlink(file_to_remove) def parser_align_and_plot_coverage(parser=argparse.ArgumentParser()): parser = parser_plot_coverage_common(parser) parser.add_argument('ref_fasta', default=None, help='Reference genome, FASTA format.') parser.add_argument( '--outBam', dest="out_bam", default=None, help='Output aligned, indexed BAM file. Default is to write to temp.' ) parser.add_argument( '--sensitive', action="store_true", help="Equivalent to giving bwa: '-k 12 -A 1 -B 1 -O 1 -E 1'. Only relevant if the bwa aligner is selected (the default). " ) parser.add_argument( '--excludeDuplicates', action="store_true", help="MarkDuplicates with Picard and only plot non-duplicates" ) parser.add_argument( '--JVMmemory', default=picard.MarkDuplicatesTool.jvmMemDefault, help='JVM virtual memory size (default: %(default)s)' ) parser.add_argument( '--picardOptions', default=[], nargs='*', help='Optional arguments to Picard\'s MarkDuplicates, OPTIONNAME=value ...' ) parser.add_argument( '--minScoreToFilter', dest="min_score_to_filter", type=int, help=("Filter bwa alignments using this value as the minimum allowed " "alignment score. Specifically, sum the alignment scores across " "all alignments for each query (including reads in a pair, " "supplementary and secondary alignments) and then only include, " "in the output, queries whose summed alignment score is at least " "this value. This is only applied when the aligner is 'bwa'. " "The filtering on a summed alignment score is sensible for reads " "in a pair and supplementary alignments, but may not be " "reasonable if bwa outputs secondary alignments (i.e., if '-a' " "is in the aligner options). (default: not set - i.e., do not " "filter bwa's output)") ) parser.add_argument('--aligner', choices=['novoalign', 'bwa'], default='bwa', help='aligner (default: %(default)s)') parser.add_argument('--aligner_options', default=None, help='aligner options (default for novoalign: "-r Random -l 40 -g 40 -x 20 -t 100 -k", bwa: bwa defaults') parser.add_argument( '--NOVOALIGN_LICENSE_PATH', default=None, dest="novoalign_license_path", help='A path to the novoalign.lic file. This overrides the NOVOALIGN_LICENSE_PATH environment variable. (default: %(default)s)' ) util_cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) util_cmd.attach_main(parser, align_and_plot_coverage, split_args=True) return parser __commands__.append(('align_and_plot_coverage', parser_align_and_plot_coverage)) def parser_fastqc(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input reads, BAM format.') parser.add_argument('out_html', help='Output report, HTML format.') parser.add_argument('--out_zip', help='Output data, zip archive.') parser.add_argument('--threads', type=int, help='Number of threads.') util_cmd.attach_main(parser, fastqc.FastQC().execute, split_args=True) return parser __commands__.append(('fastqc', parser_fastqc)) # ======================= def full_parser(): return util_cmd.make_parser(__commands__, __doc__) def main(): util_cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: src/viral_ngs/taxon_filter.py ================================================ #!/usr/bin/env python3 '''This script contains a number of utilities for filtering NGS reads based on membership or non-membership in a species / genus / taxonomic grouping. ''' from __future__ import print_function __author__ = "dpark@broadinstitute.org, irwin@broadinstitute.org," \ + "hlevitin@broadinstitute.org" __commands__ = [] import argparse import glob import logging import subprocess import os import math import tempfile import shutil import concurrent.futures import contextlib from Bio import SeqIO import pysam from .core import cmd from .core import file from .core import misc from . import core from .core import minimap2 from .core import prinseq from .core import picard from .core import samtools from .core.file import mkstempfname from .core.errors import QCError from .classify import blast from .classify import last from .classify import bmtagger from . import read_utils ''' #Adding logging configuration to identify issues/ time spent logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler("task.log"), # Log file name logging.StreamHandler() # Keeps the console output if desired ] ) ''' log = logging.getLogger(__name__) # ======================= # *** deplete *** # ======================= def parser_deplete(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input BAM file.') parser.add_argument('revertBam', help='Output BAM: read markup reverted with Picard.') parser.add_argument('minimapBam', help='Output BAM: depleted of reads with minimap2.') parser.add_argument('bwaBam', help='Output BAM: depleted of reads with BWA.') parser.add_argument('bmtaggerBam', help='Output BAM: depleted of reads with BMTagger.') parser.add_argument( 'blastnBam', help='Output BAM: bmtaggerBam run through another depletion of reads with BLASTN.' ) parser.add_argument( '--minimapDbs', nargs='*', default=(), help='Reference FASTA databases for minimap2 to deplete from input.' ) parser.add_argument( '--bwaDbs', nargs='*', default=(), help='Reference databases for BWA to deplete from input.' ) parser.add_argument( '--bmtaggerDbs', nargs='*', default=(), help='''Reference databases to deplete from input. For each db, requires prior creation of db.bitmask by bmtool, and db.srprism.idx, db.srprism.map, etc. by srprism mkindex.''' ) parser.add_argument( '--blastDbs', nargs='*', default=(), help='Reference databases for BLASTN to deplete from input.' ) parser.add_argument('--srprismMemory', dest="srprism_memory", type=int, default=7168, help='Memory for srprism.') parser.add_argument("--chunkSize", type=int, default=1000000, help='blastn chunk size (default: %(default)s)') parser.add_argument( '--JVMmemory', default=picard.PicardTools.jvmMemDefault, help='JVM virtual memory size for Picard RevertSam (default: %(default)s)' ) parser = read_utils.parser_revert_sam_common(parser) cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_deplete) return parser def main_deplete(args): ''' Run the entire depletion pipeline: minimap2, bwa, bmtagger, blastn. ''' assert len(args.minimapDbs) + len(args.bmtaggerDbs) + len(args.blastDbs) + len(args.bwaDbs) > 0 # only RevertSam if inBam is already aligned # Most of the time the input will be unaligned # so we can save save time if we can skip RevertSam in the unaligned case # # via the SAM/BAM spec, if the file is aligned, an SQ line should be present # in the header. Using pysam, we can check this if header['SQ'])>0 # https://samcore.github.io/hts-specs/SAMv1.pdf # if the user has requested a revertBam with read_utils.revert_bam_if_aligned( args.inBam, revert_bam = args.revertBam, clear_tags = args.clear_tags, tags_to_clear = args.tags_to_clear, picardOptions = ['MAX_DISCARD_FRACTION=0.5'], JVMmemory = args.JVMmemory, sanitize = not args.do_not_sanitize) as bamToDeplete: multi_db_deplete_bam( bamToDeplete, args.minimapDbs, deplete_minimap2_bam, args.minimapBam, threads=args.threads ) multi_db_deplete_bam( args.minimapBam, args.bwaDbs, deplete_bwa_bam, args.bwaBam, threads=args.threads ) def bmtagger_wrapper(inBam, db, outBam): return deplete_bmtagger_bam(inBam, db, outBam, srprism_memory=args.srprism_memory) multi_db_deplete_bam( args.bwaBam, args.bmtaggerDbs, bmtagger_wrapper, args.bmtaggerBam ) multi_db_deplete_bam( args.bmtaggerBam, args.blastDbs, deplete_blastn_bam, args.blastnBam, chunkSize=args.chunkSize, threads=args.threads ) if os.path.getsize(args.revertBam) == 0: with file.tempfname('.empty.sam') as empty_sam: samtools_tool = samtools.SamtoolsTool() samtools_tool.dumpHeader(args.inBam, empty_sam) samtools_tool.view(['-b'], empty_sam, args.revertBam) return 0 __commands__.append(('deplete', parser_deplete)) # ======================= # *** filter_lastal *** # ======================= def filter_lastal_bam( inBam, db, outBam, max_gapless_alignments_per_position=1, min_length_for_initial_matches=5, max_length_for_initial_matches=50, max_initial_matches_per_position=100, error_on_reads_in_neg_control=False, neg_control_prefixes=None, #set below: "neg","water","NTC" negative_control_reads_threshold=0, threads=None ): ''' Restrict input reads to those that align to the given reference database using LASTAL. ''' neg_control_prefixes = neg_control_prefixes or ["neg","water","NTC"] with file.tmp_dir('-lastdb') as tmp_db_dir: # index db if necessary lastdb = last.Lastdb() if not lastdb.is_indexed(db): db = lastdb.build_database(db, os.path.join(tmp_db_dir, 'lastdb')) # Stream lastal hits directly into ReadIdStore db_path = os.path.join(tmp_db_dir, 'read_ids.db') with read_utils.ReadIdStore(db_path) as store: store.extend(last.Lastal().get_hits( inBam, db, max_gapless_alignments_per_position, min_length_for_initial_matches, max_length_for_initial_matches, max_initial_matches_per_position, threads=threads )) if error_on_reads_in_neg_control: sample_name=os.path.basename(inBam) if any(sample_name.lower().startswith(prefix.lower()) for prefix in neg_control_prefixes): if len(store) > max(0,negative_control_reads_threshold): log.warning("Error raised due to reads in negative control; re-run this without '--errorOnReadsInNegControl' if this execution should succeed.") raise QCError("The sample '{}' appears to be a negative control, but it contains {} reads after filtering to desired taxa.".format(sample_name, len(store))) # filter original BAM file against keep list store.filter_bam_by_ids(inBam, outBam, include=True) def parser_filter_lastal_bam(parser=argparse.ArgumentParser()): parser.add_argument("inBam", help="Input reads") parser.add_argument("db", help="Database of taxa we keep") parser.add_argument("outBam", help="Output reads, filtered to refDb") parser.add_argument( '-n', dest="max_gapless_alignments_per_position", help='maximum gapless alignments per query position (default: %(default)s)', type=int, default=1 ) parser.add_argument( '-l', dest="min_length_for_initial_matches", help='minimum length for initial matches (default: %(default)s)', type=int, default=5 ) parser.add_argument( '-L', dest="max_length_for_initial_matches", help='maximum length for initial matches (default: %(default)s)', type=int, default=50 ) parser.add_argument( '-m', dest="max_initial_matches_per_position", help='maximum initial matches per query position (default: %(default)s)', type=int, default=100 ) parser.add_argument( '--errorOnReadsInNegControl', dest="error_on_reads_in_neg_control", help='If specified, the function will return an error if there are reads after filtering for samples with names containing: (water,neg,ntc) (default: %(default)s)', action="store_true", ) parser.add_argument( '--negativeControlReadsThreshold', dest="negative_control_reads_threshold", help='maximum number of reads (single-end) or read pairs (paired-end) to tolerate in samples identified as negative controls (default: %(default)s)', type=int, default=0 ) parser.add_argument( '--negControlPrefixes', dest="neg_control_prefixes", default=["neg","water","NTC"], nargs='*', help='Bam file name prefixes to interpret as negative controls, space-separated (default: %(default)s)' ) cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, filter_lastal_bam, split_args=True) return parser __commands__.append(('filter_lastal_bam', parser_filter_lastal_bam)) # ============================== # *** deplete_bmtagger_bam *** # ============================== def deplete_bmtagger_bam(inBam, db, outBam, srprism_memory=7168): """ Use bmtagger to partition the input reads into ones that match at least one of the databases and ones that don't match any of the databases. inBam: paired-end input reads in BAM format. db: bmtagger expects files db.bitmask created by bmtool, and db.srprism.idx, db.srprism.map, etc. created by srprism mkindex outBam: the output BAM files to hold the unmatched reads. srprism_memory: srprism memory in megabytes. """ bmtaggerPath = bmtagger.BmtaggerShTool().install_and_get_path() # bmtagger calls several executables in the same directory, and blastn; # make sure they are accessible through $PATH blastnPath = blast.BlastnTool().install_and_get_path() path = os.environ['PATH'].split(os.pathsep) for t in (bmtaggerPath, blastnPath): d = os.path.dirname(t) if d not in path: path = [d] + path path = os.pathsep.join(path) os.environ['PATH'] = path with file.tempfname('.1.fastq') as inReads1: samtools.SamtoolsTool().bam2fq(inBam, inReads1) with file.tempfname('.bmtagger.conf') as bmtaggerConf: with open(bmtaggerConf, 'w') as f: # Default srprismopts: "-b 100000000 -n 5 -R 0 -r 1 -M 7168" print('srprismopts="-b 100000000 -n 5 -R 0 -r 1 -M {srprism_memory} --paired false"'.format(srprism_memory=srprism_memory), file=f) with extract_build_or_use_database(db, bmtagger_build_db, 'bitmask', tmp_suffix="-bmtagger", db_prefix="bmtagger") as (db_prefix,tempDir): matchesFile = mkstempfname('.txt') cmdline = [ bmtaggerPath, '-b', db_prefix + '.bitmask', '-C', bmtaggerConf, '-x', db_prefix + '.srprism', '-T', tempDir, '-q1', '-1', inReads1, '-o', matchesFile ] log.debug(' '.join(cmdline)) misc.run_and_print(cmdline, check=True) # Load matches into ReadIdStore and filter BAM (exclude matching reads) with file.tmp_dir(suffix='_bmtagger_filter') as filter_tmpdir: db_path = os.path.join(filter_tmpdir, 'read_ids.db') with read_utils.ReadIdStore(db_path) as store: store.add_from_readlist(matchesFile) store.filter_bam_by_ids(inBam, outBam, include=False) os.unlink(matchesFile) def parser_deplete_bam_bmtagger(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input BAM file.') parser.add_argument( 'refDbs', nargs='+', help='''Reference databases (one or more) to deplete from input. For each db, requires prior creation of db.bitmask by bmtool, and db.srprism.idx, db.srprism.map, etc. by srprism mkindex.''' ) parser.add_argument('outBam', help='Output BAM file.') parser.add_argument('--srprismMemory', dest="srprism_memory", type=int, default=7168, help='Memory for srprism.') parser = read_utils.parser_revert_sam_common(parser) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_deplete_bam_bmtagger) return parser def main_deplete_bam_bmtagger(args): '''Use bmtagger to deplete input reads against several databases.''' def bmtagger_wrapper(inBam, db, outBam): return deplete_bmtagger_bam(inBam, db, outBam, srprism_memory=args.srprism_memory) with read_utils.revert_bam_if_aligned( args.inBam, clear_tags = args.clear_tags, tags_to_clear = args.tags_to_clear, picardOptions = ['MAX_DISCARD_FRACTION=0.5'], sanitize = not args.do_not_sanitize) as bamToDeplete: multi_db_deplete_bam( bamToDeplete, args.refDbs, bmtagger_wrapper, args.outBam ) __commands__.append(('deplete_bam_bmtagger', parser_deplete_bam_bmtagger)) def multi_db_deplete_bam(inBam, refDbs, deplete_method, outBam, **kwargs): tmpDb = None if len(refDbs)>1 and not any( not os.path.exists(db) # indexed db prefix or os.path.isdir(db) # indexed db in directory or (os.path.isfile(db) and ('.tar' in db or '.tgz' in db or '.zip' in db)) # packaged indexed db for db in refDbs): # this is a scenario where all refDbs are unbuilt fasta # files. we can simplify and speed up execution by # concatenating them all and running deplete_method # just once tmpDb = mkstempfname('.fasta') merge_compressed_files(refDbs, tmpDb, sep='\n') refDbs = [tmpDb] samtools_tool = samtools.SamtoolsTool() tmpBamIn = inBam for db in refDbs: if not samtools_tool.isEmpty(tmpBamIn): tmpBamOut = mkstempfname('.bam') deplete_method(tmpBamIn, db, tmpBamOut, **kwargs) if tmpBamIn != inBam: os.unlink(tmpBamIn) tmpBamIn = tmpBamOut shutil.copyfile(tmpBamIn, outBam) if tmpDb: os.unlink(tmpDb) # ======================== # *** deplete_blastn *** # ======================== def _run_blastn_chunk(db, input_fasta, out_hits, blast_threads, task=None, outfmt='6', max_target_seqs=1, output_type='read_id'): """ run blastn on the input fasta file. this is intended to be run in parallel by blastn_chunked_fasta """ #Might need to remove this path, not absolute #os.environ['BLASTDB']= 'viral-classify/blast' try: with file.open_or_gzopen(out_hits, 'wt') as outf: for line in blast.BlastnTool().get_hits_fasta(input_fasta, db, threads=blast_threads, task=task, outfmt=outfmt, output_type=output_type): outf.write(line + '\n') log.info("_run_blastn_chunk completed succesfully.") except Exception as e: log.error("An error occurred in _run_blastn_chunk.:%s", e) raise e def blastn_chunked_fasta(fasta, db, out_hits, chunkSize=1000000, threads=None, task=None, outfmt='6', max_target_seqs=1, output_type='read_id'): """ Helper function: blastn a fasta file, overcoming apparent memory leaks on an input with many query sequences, by splitting it into multiple chunks and running a new blastn process on each chunk. Return a list of output filenames containing hits """ # the lower bound of how small a fasta chunk can be. # too small and the overhead of spawning a new blast process # will be detrimental relative to actual computation time #checks if the blastn_chunked_fasta function is being called log.info("Calling blastn_chunked_fasta function...") MIN_CHUNK_SIZE = 20000 # just in case blast is not installed, install it once, not many times in parallel! blast.BlastnTool().install() # clamp threadcount to number of CPU cores threads = misc.sanitize_thread_count(threads) # determine size of input data; records in fasta file number_of_reads = file.fasta_length(fasta) log.debug("number of reads in fasta file %s" % number_of_reads) if number_of_reads == 0: file.make_empty(out_hits) # divide (max, single-thread) chunksize by thread count # to find the absolute max chunk size per thread chunk_max_size_per_thread = chunkSize // threads # find the chunk size if evenly divided among blast threads reads_per_thread = number_of_reads // threads # use the smaller of the two chunk sizes so we can run more copies of blast in parallel chunkSize = min(reads_per_thread, chunk_max_size_per_thread) # if the chunk size is too small, impose a sensible size chunkSize = max(chunkSize, MIN_CHUNK_SIZE) log.debug("chunk_max_size_per_thread %s" % chunk_max_size_per_thread) # adjust chunk size so we don't have a small fraction # of a chunk running in its own blast process # if the size of the last chunk is <80% the size of the others, # decrease the chunk size until the last chunk is 80% # this is bounded by the MIN_CHUNK_SIZE while (number_of_reads / chunkSize) % 1 < 0.8 and chunkSize > MIN_CHUNK_SIZE: chunkSize = chunkSize - 1 log.debug("blastn chunk size %s" % chunkSize) log.debug("number of chunks to create %s" % (number_of_reads / chunkSize)) log.debug("blastn parallel instances %s" % threads) log.debug(f"outfmt value: {outfmt}") # chunk the input file. This is a sequential operation input_fastas = [] with open(fasta, "rt") as fastaFile: record_iter = SeqIO.parse(fastaFile, "fasta") for batch in misc.batch_iterator(record_iter, chunkSize): chunk_fasta = mkstempfname('.fasta') with open(chunk_fasta, "wt") as handle: count= SeqIO.write(batch, handle, "fasta") batch = None #detail chunk sizes being processed log.info(f"Created chunk {chunk_fasta} with {count} records") input_fastas.append(chunk_fasta) num_chunks = len(input_fastas) log.debug("number of chunk files to be processed by blastn %d" % num_chunks) # run blastn on each of the fasta input chunks hits_files = list(mkstempfname('.hits.txt') for f in input_fastas) with concurrent.futures.ProcessPoolExecutor(max_workers=threads) as executor: # If we have so few chunks that there are cpus left over, # divide extra cpus evenly among chunks where possible # rounding to 1 if there are more chunks than extra threads. # Then double up this number to better maximize CPU usage. cpus_leftover = threads - num_chunks blast_threads = 2*max(1, int(cpus_leftover / num_chunks)) for i in range(num_chunks): executor.submit(_run_blastn_chunk, db, input_fastas[i], hits_files[i], blast_threads, task=task, outfmt=outfmt, max_target_seqs=max_target_seqs, output_type=output_type) # merge results and clean up file.cat(out_hits, hits_files) for i in range(num_chunks): os.unlink(input_fastas[i]) os.unlink(hits_files[i]) def deplete_blastn_bam(inBam, db, outBam, threads=None, chunkSize=1000000): 'Use blastn to remove reads that match at least one of the databases.' blast_hits = mkstempfname('.blast_hits.txt') with extract_build_or_use_database(db, blastn_build_db, 'nin', tmp_suffix="-blastn_db_unpack", db_prefix="blastn") as (db_prefix,tempDir): if chunkSize: ## chunk up input and perform blastn in several parallel threads with file.tempfname('.fasta') as reads_fasta: samtools.SamtoolsTool().bam2fa(inBam, reads_fasta) log.info("running blastn on %s against %s", inBam, db) blastn_chunked_fasta(reads_fasta, db_prefix, blast_hits, chunkSize, threads) else: ## pipe tools together and run blastn multithreaded with open(blast_hits, 'wt') as outf: for read_id in blast.BlastnTool().get_hits_bam(inBam, db_prefix, threads=threads): outf.write(read_id + '\n') # Load blast hits into ReadIdStore and filter BAM (exclude matching reads) with file.tmp_dir(suffix='_blastn_filter') as filter_tmpdir: db_path = os.path.join(filter_tmpdir, 'read_ids.db') with read_utils.ReadIdStore(db_path) as store: store.add_from_readlist(blast_hits) store.filter_bam_by_ids(inBam, outBam, include=False) os.unlink(blast_hits) def chunk_blast_hits(inFasta, db, blast_hits_output, threads=None, chunkSize=1000000, task=None, outfmt='6', max_target_seqs=1, output_type= 'read_id'): 'Process BLAST hits from a FASTA file by dividing the file into smaller chunks for parallel processing (blastn_chunked_fasta).' if chunkSize: log.info("Running BLASTN on %s against database %s", inFasta, db) #Execute blastn_chunked_fasta blastn_chunked_fasta(inFasta, db, blast_hits_output, chunkSize, threads, task, outfmt, max_target_seqs, output_type=output_type) else: #Pipe tools together and run blastn multithreaded with open(blast_hits_output, 'wt') as outf: for output in blast.BlastnTool().get_hits_fasta(inFasta, db, threads, task=task, outfmt=outfmt, max_target_seqs=max_target_seqs, output_type=output_type): #Account for read_ids extract only or full blast output run. Default = read_lines. if output_type == 'read_id': # Extract the first clmn in the output (assuming its the read ID) read_id = output.split('\t')[0] outf.write(read_id + '\n') else: #Extract and write full line if the output_type is not set to just read IDs outf.write(output + '\n') def parser_chunk_blast_hits(parser=argparse.ArgumentParser()): parser = argparse.ArgumentParser(description="Run BLASTN on chunks of a FASTA file.") parser.add_argument('inBam', help='Input BAM file.') parser.add_argument('db', help='BLASTN database.') parser.add_argument('blast_hits_output', help='Stores hits found by BLASTN.') parser.add_argument("--chunkSize", type=int, default=1000000, help='FASTA chunk size (default: %(default)s)') parser.add_argument("-task", help="details the type of search (i.e. megablast,blatn,etc)") parser.add_argument("-outfmt", type=str, default=6, help="Custom output formats(default: %(default)s)") parser.add_argument("-max_target_seqs", type=int, default=1, help="BLAST will return the first (if set to default) database hits for a sequence query. (default: %(default)s)") parser.add_argument("--output_type", default= "read_id", choices=["read_id", "full_line"], help="Specify the type of output: 'read_id' for read IDs only, or 'full_line' for full BLAST output lines. Default is 'read_id'. Useful when adding taxonomy IDs to outfmt type 6.") cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, chunk_blast_hits) return parser def parser_deplete_blastn_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input BAM file.') parser.add_argument('refDbs', nargs='+', help='One or more reference databases for blast. ' 'An ephemeral database will be created if a fasta file is provided.') parser.add_argument('outBam', help='Output BAM file with matching reads removed.') parser.add_argument("--chunkSize", type=int, default=1000000, help='FASTA chunk size (default: %(default)s)') parser = read_utils.parser_revert_sam_common(parser) cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_deplete_blastn_bam) return parser def main_deplete_blastn_bam(args): '''Use blastn to remove reads that match at least one of the specified databases.''' def wrapper(inBam, db, outBam, threads): return deplete_blastn_bam(inBam, db, outBam, threads=threads, chunkSize=args.chunkSize) with read_utils.revert_bam_if_aligned( args.inBam, clear_tags = args.clear_tags, tags_to_clear = args.tags_to_clear, picardOptions = ['MAX_DISCARD_FRACTION=0.5'], sanitize = not args.do_not_sanitize) as bamToDeplete: multi_db_deplete_bam(bamToDeplete, args.refDbs, wrapper, args.outBam, threads=args.threads) return 0 __commands__.append(('deplete_blastn_bam', parser_deplete_blastn_bam)) @contextlib.contextmanager def extract_build_or_use_database(db, db_build_command, db_extension_to_expect, tmp_suffix='db_unpack', db_prefix="db"): ''' db_extension_to_expect = file extension, sans dot prefix ''' with file.tmp_dir(tmp_suffix) as tempDbDir: db_dir = "" if os.path.exists(db): if os.path.isfile(db): # this is a single file if db.endswith('.fasta') or db.endswith('.fa') or ('.fasta.' in db) or ('.fa.' in db): # this is an unindexed fasta file, we will need to index it # function should conform to the signature: # db_build_command(inputFasta, outputDirectory, outputFilePrefix) # the function will need to be able to handle lz4, etc. db_build_command(db, tempDbDir, db_prefix) db_dir = tempDbDir else: # this is a tarball with prebuilt indexes db_dir = file.extract_tarball(db, tempDbDir) else: # this is a directory db_dir = db # this directory should have a .{ext} file, where {ext} is specific to the type of db hits = list(glob.glob(os.path.join(db_dir, '*.{ext}'.format(ext=db_extension_to_expect)))) if len(hits) == 0: raise Exception("The blast database does not appear to a *.{ext} file.".format(ext=db_extension_to_expect)) elif len(hits) == 1: db_prefix = hits[0][:-(len('.{ext}'.format(ext=db_extension_to_expect)))] # remove the '.extension' elif len(hits) >1: db_prefix = os.path.commonprefix(hits).rsplit('.', 1)[0] # remove extension and split-db prefix else: # this is simply a prefix to a bunch of files, not an actual file db_prefix = db.rsplit('.', 1)[0] if db.endswith('.') else db yield (db_prefix,tempDbDir) # ======================== # *** deplete_bwa *** # ======================== def deplete_bwa_bam(inBam, db, outBam, threads=None, clear_tags=True, tags_to_clear=None, JVMmemory=None): 'Use bwa to remove reads from an unaligned bam that match at least one of the databases.' tags_to_clear = tags_to_clear or [] threads = misc.sanitize_thread_count(threads) with extract_build_or_use_database(db, bwa_build_db, 'bwt', tmp_suffix="-bwa_db_unpack", db_prefix="bwa") as (db_prefix,tempDbDir): with file.tempfname('.aligned.sam') as aligned_sam: core.bwa.Bwa().align_mem_bam(inBam, db_prefix, aligned_sam, threads=threads, should_index=False, JVMmemory=JVMmemory) #with file.fifo(name='filtered.sam') as filtered_sam: with file.tempfname('.filtered.sam') as filtered_sam: # filter proper pairs samtools.SamtoolsTool().view(['-h','-F0x2'], aligned_sam, filtered_sam) picardOptions = [] if clear_tags: for tag in tags_to_clear: picardOptions.append("ATTRIBUTE_TO_CLEAR={}".format(tag)) picard.RevertSamTool().execute( filtered_sam, outBam, picardOptions=['SORT_ORDER=queryname'] + picardOptions, JVMmemory=JVMmemory ) # TODO: consider using Bwa().mem() so the input bam is not broken out by read group # TODO: pipe bwa input directly to samtools process (need to use Bwa().mem() directly, ) # with Popen to background bwa process def parser_deplete_bwa_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input BAM file.') parser.add_argument('refDbs', nargs='+', help='One or more reference databases for bwa. ' 'An ephemeral database will be created if a fasta file is provided.') parser.add_argument('outBam', help='Ouput BAM file with matching reads removed.') parser.add_argument( '--JVMmemory', default=picard.PicardTools.jvmMemDefault, help='JVM virtual memory size for Picard RevertSam (default: %(default)s)' ) parser = read_utils.parser_revert_sam_common(parser) cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_deplete_bwa_bam) return parser def main_deplete_bwa_bam(args): '''Use BWA to remove reads that match at least one of the specified databases.''' with read_utils.revert_bam_if_aligned( args.inBam, clear_tags = args.clear_tags, tags_to_clear = args.tags_to_clear, picardOptions = ['MAX_DISCARD_FRACTION=0.5'], JVMmemory = args.JVMmemory, sanitize = not args.do_not_sanitize) as bamToDeplete: #def wrapper(inBam, db, outBam, threads, JVMmemory=None): # return deplete_bwa_bam(inBam, db, outBam, threads=threads, ) multi_db_deplete_bam(bamToDeplete, args.refDbs, deplete_bwa_bam, args.outBam, threads=args.threads, clear_tags=args.clear_tags, tags_to_clear=args.tags_to_clear, JVMmemory=args.JVMmemory) return 0 __commands__.append(('deplete_bwa_bam', parser_deplete_bwa_bam)) # ======================== # *** deplete_minimap2 *** # ======================== def deplete_minimap2_bam(inBam, db, outBam, threads=None): '''Use minimap2 to remove reads that match the reference database. inBam: input reads in BAM format. db: reference database in FASTA format. outBam: output BAM file with matching reads removed. threads: number of threads for minimap2 alignment. ''' with file.tmp_dir(suffix='_minimap2_deplete') as tmpdir: idxstats_file = os.path.join(tmpdir, 'idxstats.txt') hitList = os.path.join(tmpdir, 'read_ids.txt') db_path = os.path.join(tmpdir, 'read_ids.db') # Use minimap2 idxstats to get list of mapped read IDs minimap2.Minimap2().idxstats( inBam, db, idxstats_file, outReadlist=hitList, threads=threads ) # Load hit list into ReadIdStore and filter BAM (exclude matching reads) with read_utils.ReadIdStore(db_path) as store: store.add_from_readlist(hitList) store.filter_bam_by_ids(inBam, outBam, include=False) def parser_deplete_minimap2_bam(parser=argparse.ArgumentParser()): parser.add_argument('inBam', help='Input BAM file.') parser.add_argument('refDbs', nargs='+', help='One or more reference FASTA files to deplete from input.') parser.add_argument('outBam', help='Output BAM file with matching reads removed.') parser = read_utils.parser_revert_sam_common(parser) cmd.common_args(parser, (('threads', None), ('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, main_deplete_minimap2_bam) return parser def main_deplete_minimap2_bam(args): '''Use minimap2 to remove reads that match at least one of the specified databases.''' with read_utils.revert_bam_if_aligned( args.inBam, clear_tags=args.clear_tags, tags_to_clear=args.tags_to_clear, picardOptions=['MAX_DISCARD_FRACTION=0.5'], sanitize=not args.do_not_sanitize) as bamToDeplete: multi_db_deplete_bam( bamToDeplete, args.refDbs, deplete_minimap2_bam, args.outBam, threads=args.threads ) return 0 __commands__.append(('deplete_minimap2_bam', parser_deplete_minimap2_bam)) # ======================== # *** lastal_build_db *** # ======================== def lastal_build_db(inputFasta, outputDirectory, outputFilePrefix): ''' build a database for use with last based on an input fasta file ''' if outputFilePrefix: outPrefix = outputFilePrefix else: baseName = os.path.basename(inputFasta) fileNameSansExtension = os.path.splitext(baseName)[0] outPrefix = fileNameSansExtension last.Lastdb().build_database(inputFasta, os.path.join(outputDirectory, outPrefix)) def parser_lastal_build_db(parser=argparse.ArgumentParser()): parser.add_argument('inputFasta', help='Location of the input FASTA file') parser.add_argument('outputDirectory', help='Location for the output files (default is cwd: %(default)s)') parser.add_argument( '--outputFilePrefix', help='Prefix for the output file name (default: inputFasta name, sans ".fasta" extension)' ) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, lastal_build_db, split_args=True) return parser __commands__.append(('lastal_build_db', parser_lastal_build_db)) # ================================ # *** merge_compressed_files *** # ================================ def merge_compressed_files(inFiles, outFile, sep=''): ''' Take a collection of input text files, possibly compressed, and concatenate into a single output text file. ''' with file.open_or_gzopen(outFile, 'wt') as outf: first = True for infname in inFiles: if not first: if sep: outf.write(sep) else: first = False with file.open_or_gzopen(infname, 'rt', newline=None) as inf: shutil.copyfileobj(inf, outf) # ======================== # *** bwa_build_db *** # ======================== def bwa_build_db(inputFasta, outputDirectory, outputFilePrefix): """ Create a database for use with bwa from an input reference FASTA file """ new_fasta = None if not (inputFasta.endswith('.fasta') or inputFasta.endswith('.fa')): new_fasta = file.mkstempfname('.fasta') with file.open_or_gzopen(inputFasta, 'rt', newline=None) as inf, open(new_fasta, 'wt') as outf: shutil.copyfileobj(inf, outf) inputFasta = new_fasta # make the output path if it does not exist file.mkdir_p(outputDirectory) if outputFilePrefix: outPrefix = outputFilePrefix else: baseName = os.path.basename(inputFasta) fileNameSansExtension = os.path.splitext(baseName)[0] outPrefix = fileNameSansExtension core.bwa.Bwa().index(inputFasta, output=os.path.join(outputDirectory, outPrefix)) if new_fasta is not None: os.unlink(new_fasta) def parser_bwa_build_db(parser=argparse.ArgumentParser()): parser.add_argument('inputFasta', help='Location of the input FASTA file') parser.add_argument('outputDirectory', help='Location for the output files') parser.add_argument( '--outputFilePrefix', help='Prefix for the output file name (default: inputFasta name, sans ".fasta" extension)' ) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, bwa_build_db, split_args=True) return parser __commands__.append(('bwa_build_db', parser_bwa_build_db)) # ======================== # *** blastn_build_db *** # ======================== def blastn_build_db(inputFasta, outputDirectory, outputFilePrefix): """ Create a database for use with blastn from an input reference FASTA file """ new_fasta = None if not (inputFasta.endswith('.fasta') or inputFasta.endswith('.fa')): new_fasta = file.mkstempfname('.fasta') with file.open_or_gzopen(inputFasta, 'rt', newline=None) as inf, open(new_fasta, 'wt') as outf: shutil.copyfileobj(inf, outf) inputFasta = new_fasta if outputFilePrefix: outPrefix = outputFilePrefix else: baseName = os.path.basename(inputFasta) fileNameSansExtension = os.path.splitext(baseName)[0] outPrefix = fileNameSansExtension blastdb_path = blast.MakeblastdbTool().build_database(inputFasta, os.path.join(outputDirectory, outPrefix)) if new_fasta is not None: os.unlink(new_fasta) def parser_blastn_build_db(parser=argparse.ArgumentParser()): parser.add_argument('inputFasta', help='Location of the input FASTA file') parser.add_argument('outputDirectory', help='Location for the output files') parser.add_argument( '--outputFilePrefix', help='Prefix for the output file name (default: inputFasta name, sans ".fasta" extension)' ) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, blastn_build_db, split_args=True) return parser __commands__.append(('blastn_build_db', parser_blastn_build_db)) # ======================== # *** bmtagger_build_db *** # ======================== def bmtagger_build_db(inputFasta, outputDirectory, outputFilePrefix, word_size=18): """ Create a database for use with Bmtagger from an input FASTA file. """ new_fasta = None if not (inputFasta.endswith('.fasta') or inputFasta.endswith('.fa')): new_fasta = file.mkstempfname('.fasta') with file.open_or_gzopen(inputFasta, 'rt', newline=None) as inf, open(new_fasta, 'wt') as outf: shutil.copyfileobj(inf, outf) inputFasta = new_fasta if outputFilePrefix: outPrefix = outputFilePrefix else: baseName = os.path.basename(inputFasta) fileNameSansExtension = os.path.splitext(baseName)[0] outPrefix = fileNameSansExtension log.debug("building bmtagger and srprism databases on {}".format(os.path.join(outputDirectory, outPrefix))) bmtooldb_path = bmtagger.BmtoolTool().build_database( inputFasta, os.path.join(outputDirectory, outPrefix + ".bitmask"), word_size=word_size ) srprismdb_path = bmtagger.SrprismTool().build_database( inputFasta, os.path.join(outputDirectory, outPrefix + ".srprism") ) if new_fasta is not None: os.unlink(new_fasta) def parser_bmtagger_build_db(parser=argparse.ArgumentParser()): parser.add_argument('inputFasta', help='Location of the input FASTA file') parser.add_argument( 'outputDirectory', help='Location for the output files (Where *.bitmask and *.srprism files will be stored)' ) parser.add_argument( '--outputFilePrefix', help='Prefix for the output file name (default: inputFasta name, sans ".fasta" extension)' ) parser.add_argument( '--word_size', type=int, default=18, help='Database word size (default: %(default)s)' ) cmd.common_args(parser, (('loglevel', None), ('version', None), ('tmp_dir', None))) cmd.attach_main(parser, bmtagger_build_db, split_args=True) return parser __commands__.append(('bmtagger_build_db', parser_bmtagger_build_db)) # ======================== def full_parser(): return cmd.make_parser(__commands__, __doc__) def main(): cmd.main_argparse(__commands__, __doc__) if __name__ == '__main__': main() ================================================ FILE: tests/__init__.py ================================================ '''utilities for tests''' __author__ = "irwin@broadinstitute.org" # built-ins import filecmp import os import platform import re import unittest import hashlib import logging import copy # third-party import Bio.SeqIO import pytest import pysam # Platform detection for x86-only tools IS_ARM = platform.machine() in ('arm64', 'aarch64') # intra-project import viral_ngs.core from viral_ngs.core.misc import available_cpu_count from viral_ngs.core.samtools import SamtoolsTool logging.getLogger('botocore').setLevel(logging.WARNING) logging.getLogger('boto3').setLevel(logging.WARNING) if 'PYTEST_XDIST_WORKER_COUNT' in os.environ: _CPUS = 1 else: _CPUS = available_cpu_count() def assert_equal_contents(testCase, filename1, filename2): 'Assert contents of two files are equal for a unittest.TestCase' testCase.assertTrue(filecmp.cmp(filename1, filename2, shallow=False)) def assert_equal_bam_reads(testCase, bam_filename1, bam_filename2): ''' Assert that two bam files are equivalent This function converts each file to sam (plaintext) format, without header, since the header can be variable. Test data should be stored in bam format rather than sam to save space, and to ensure the bam->sam conversion is the same for both files. ''' samtools = SamtoolsTool() sam_one = viral_ngs.core.file.mkstempfname(".sam") sam_two = viral_ngs.core.file.mkstempfname(".sam") # write the bam files to sam format, without header (no -h) samtools.view(args=[], inFile=bam_filename1, outFile=sam_one) samtools.view(args=[], inFile=bam_filename2, outFile=sam_two) try: if not filecmp.cmp(sam_one, sam_two, shallow=False): # Files are different - show debug output print("\n" + "="*80) print(f"DEBUG: BAM files are not equal") print(f" File 1: {bam_filename1}") print(f" File 2: {bam_filename2}") print("\nFirst 5 reads from each file:") print("-" * 80) print("File 1:") with open(sam_one, 'r') as f: for i, line in enumerate(f): if i >= 5: break print(f" {line.rstrip()}") print("-" * 80) print("File 2:") with open(sam_two, 'r') as f: for i, line in enumerate(f): if i >= 5: break print(f" {line.rstrip()}") print("="*80 + "\n") testCase.fail("BAM files are not equal (see debug output above)") finally: for fname in [sam_one, sam_two]: if os.path.exists(fname): os.unlink(fname) def assert_md5_equal_to_line_in_file(testCase, filename, checksum_file, msg=None): ''' Compare the checksum of a test file with the expected checksum stored in a second file compare md5(test_output.bam) with expected_output.bam.md5:1 ''' hash_md5 = hashlib.md5() with open(filename, "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5.update(chunk) expected_checksum = "" with open(checksum_file, "rb") as f: expected_checksum = str(f.readline().decode("utf-8")) expected_checksum = expected_checksum.replace("\r","").replace("\n","") assert len(expected_checksum) > 0 testCase.assertEqual(hash_md5.hexdigest(), expected_checksum, msg=msg) @pytest.mark.usefixtures('tmpdir_class') class TestCaseWithTmp(unittest.TestCase): 'Base class for tests that use tempDir' def assertEqualContents(self, f1, f2): assert_equal_contents(self, f1, f2) def assertEqualFasta(self, f1, f2): '''Check that two fasta files have the same sequence ids and bases''' def seqIdPairs(f): return [(rec.id, rec.seq) for rec in Bio.SeqIO.parse(f, 'fasta')] self.assertEqual(seqIdPairs(f1), seqIdPairs(f2)) def assertEqualFastaSeqs(self, f1, f2): '''Check that two fasta files have the same sequence bases (sequence ids may differ)''' def seqs(f): return [rec.seq for rec in Bio.SeqIO.parse(f, 'fasta')] self.assertEqual(seqs(f1), seqs(f2)) def input(self, fname): '''Return the full filename for a file in the test input directory for this test class''' return os.path.join(viral_ngs.core.file.get_test_input_path(self), fname) def inputs(self, *fnames): '''Return the full filenames for files in the test input directory for this test class''' return [self.input(fname) for fname in fnames] def assertEqualSamHeaders(self, tested_samfile, expected_samfile, other_allowed_values=None): ''' other_allowed_values is a dict that maps a key to a list of other accepted values ''' other_allowed_values = other_allowed_values or {} test_sam = pysam.AlignmentFile(tested_samfile, "rb", check_sq=False) expected_sam = pysam.AlignmentFile(expected_samfile, "rb", check_sq=False) # check that the two sams contain the same types of header lines # note that pysam returns lists of dicts for # header lines types that appear more than once (ex. multiple 'RG' lines, etc.) self.assertEqual(sorted(test_sam.header.keys()),sorted(expected_sam.header.keys())) lines_tag_to_check = test_sam.header.keys() for line_tag in lines_tag_to_check: line_type = type(test_sam.header[line_tag]) # for header lines that occur more than once if line_type == list: # if list of dicts # compose alterates for each line present, and check to see if exists in list of expected for test_dict in test_sam.header[line_tag]: alternate_allowed_test_dicts = [] for key,val in test_dict.items(): alterate_test_dict = copy.deepcopy(test_dict) if key in other_allowed_values.keys(): for alternate_val in other_allowed_values[key]: alterate_test_dict[key] = alternate_val alternate_allowed_test_dicts.append(copy.deepcopy(alterate_test_dict)) for expected_d in expected_sam.header[line_tag]: self.assertTrue(any(d==expected_d for d in alternate_allowed_test_dicts+[test_dict]), msg="{} expected but not seen in {}".format(expected_d, alternate_allowed_test_dicts+[test_dict])) # for header lines that occur only once elif line_type in (dict,): # may need to change object type for pysam >=0.18 test_dict = dict(test_sam.header[line_tag]) alternate_allowed_test_dicts = [] for key,val in test_dict.items(): alterate_test_dict = copy.deepcopy(test_dict) if key in other_allowed_values.keys(): for alternate_val in other_allowed_values[key]: alterate_test_dict[key] = alternate_val alternate_allowed_test_dicts.append(copy.deepcopy(alterate_test_dict)) self.assertTrue(any(d==expected_sam.header[line_tag] for d in alternate_allowed_test_dicts+[test_dict]), msg="{} expected but not seen in {}".format(expected_sam.header[line_tag],alternate_allowed_test_dicts+[test_dict])) """ When "nose" executes python scripts for automated testing, it excludes ones with the executable bit set (in case they aren't import safe). To prevent any of the tests in this folder from being silently excluded, assure this bit is not set. """ def assert_valid_feature_table(testCase, tbl_file, fasta_file, temp_dir): '''Validate a feature table file. This is a placeholder function that performs basic validation. Full validation with table2asn would require the tool to be installed. Note: table2asn is x86-only (no ARM64 builds in bioconda). When table2asn validation is implemented, it will be skipped on ARM platforms. ''' # Basic check: the feature table file should exist and not be empty testCase.assertTrue(os.path.exists(tbl_file), f"Feature table file does not exist: {tbl_file}") testCase.assertTrue(os.path.getsize(tbl_file) > 0, f"Feature table file is empty: {tbl_file}") # TODO: When table2asn wrapper is implemented, add validation here # table2asn is x86-only, so skip validation on ARM: # if IS_ARM: # return # Skip table2asn validation on ARM # table2asn_tool = Table2AsnTool() # table2asn_tool.validate(tbl_file, fasta_file, temp_dir) def assert_none_executable(): testDir = os.path.dirname(__file__) assert all(not os.access(os.path.join(testDir, filename), os.X_OK) for filename in os.listdir(testDir) if filename.endswith('.py')) ================================================ FILE: tests/conftest.py ================================================ import operator import os import shutil import sys import tempfile import time import contextlib import string import inspect import copy import functools import viral_ngs.core import pytest import viral_ngs.core def timer(): if sys.version_info < (3, 3): return time.time() return time.perf_counter() def pytest_addoption(parser): group = parser.getgroup("reporting", description="terminal reporting", after="general") group.addoption( '--fixture-durations', action="store", type=int, default=None, metavar="N", help="show N slowest fixture durations (N=0 for all)." ) parser.addoption( "--runslow", action="store_true", default=False, help="run slow tests" ) def pytest_configure(config): reporter = FixtureReporter(config) config.pluginmanager.register(reporter, 'fixturereporter') config.addinivalue_line( "markers", "slow: marks tests as slow (deselect with '-m \"not slow\"')" ) def pytest_collection_modifyitems(config, items): if config.getoption("--runslow"): # --runslow given in cli: do not skip slow tests return skip_slow = pytest.mark.skip(reason="need --runslow option to run") for item in items: if "slow" in item.keywords: item.add_marker(skip_slow) # Fixtures for creating a temp dir at session/module/class/function scope. # Unlike pytest's tmpdir fixture, they use tempfile.mkdtemp to create a # tempdir in the most secure/race-condition-free manner possible. # Also, since viral_ngs.core.file.tmp_dir() is used, the tempdir contens can be # preserved for debugging by setting the environment variable VIRAL_NGS_TMP_DIRKEEP. @contextlib.contextmanager def _tmpdir_aux(base_dir, scope, name): """Create and return a temporary directory; remove it and its contents on context exit.""" with viral_ngs.core.file.tmp_dir(dir=base_dir, prefix='test-{}-{}-'.format(scope, name)) as tmpdir: yield tmpdir @pytest.fixture(scope='session') def tmpdir_session(request, tmpdir_factory): """Create a session-scope temporary directory.""" with _tmpdir_aux(str(tmpdir_factory.getbasetemp()), 'session', id(request.session)) as tmpdir: yield tmpdir @pytest.fixture(scope='module') def tmpdir_module(request, tmpdir_session): """Create a module-scope temporary directory.""" with _tmpdir_aux(tmpdir_session, 'module', request.module.__name__) as tmpdir: yield tmpdir @pytest.fixture(scope='class') def tmpdir_class(request, tmpdir_module): """Create a class-scope temporary directory.""" with _tmpdir_aux(tmpdir_module, 'class', request.cls.__name__ if request.cls else '__noclass__') as tmpdir: yield tmpdir @pytest.fixture(autouse=True) def tmpdir_function(request, tmpdir_class, monkeypatch): """Create a temporary directory and set it to be used by the tempfile module and as the TMPDIR environment variable.""" with _tmpdir_aux(tmpdir_class, 'node', request.node.name) as tmpdir: monkeypatch.setattr(tempfile, 'tempdir', tmpdir) monkeypatch.setenv('TMPDIR', tmpdir) yield tmpdir @pytest.fixture def monkeypatch_function_result(monkeypatch): """Patches result of a function for specified args""" @contextlib.contextmanager def _set_function_result(f, *patch_args, **patch_kwargs): """Within the context, calls to function `f` with `patch_args` and `patch_kwargs` will return the `patch_result` (a keyword-only arg), or raise the `patch_exception` (a keyword-only arg) if that is given. Note that for the patched args, f will not be called, so any side effects of it won't happen. The function will be patched in the module `patch_module` (a keyword-only arg), or in `f` 's module if `patch_module` is None. The keyword-only args `patch_result`, `patch_exception` and `patch_module` will be removed from `patch_kwargs` before calling f. This context manager monkeypatches f for exactly one argument combination; multiple argument combos can be patched by nesting calls to this context manager. For a usage example, see test.unit.test_util_misc.test_available_cpu_count() . """ patch_kwargs = copy.copy(patch_kwargs) patch_result = patch_kwargs.pop('patch_result', None) patch_exception = patch_kwargs.pop('patch_exception', None) viral_ngs.core.misc.chk(patch_exception is None or patch_result is None) patch_module = patch_kwargs.pop('patch_module', inspect.getmodule(f)) get_call_args = functools.partial(inspect.getcallargs, viral_ngs.core.misc.unwrap(f)) patch_call_args = get_call_args(*patch_args, **patch_kwargs) @viral_ngs.core.misc.wraps(f) def patched_f(*args, **kwargs): if get_call_args(*args, **kwargs) != patch_call_args: return f(*args, **kwargs) if patch_exception: raise patch_exception return patch_result viral_ngs.core.misc.chk(inspect.ismodule(patch_module) and getattr(patch_module, f.__name__) == f) with monkeypatch.context() as m: m.setattr(patch_module, f.__name__, patched_f) yield return _set_function_result class FixtureReporter: def __init__(self, config): import _pytest.config self.config = config self.stats = {} self.writer = _pytest.config.create_terminal_writer(config) self.durations = config.option.fixture_durations @pytest.hookimpl(hookwrapper=True) def pytest_fixture_setup(self, fixturedef, request): funcname = request._pyfuncitem.name fixname = fixturedef.argname fixturedef._timer_start = timer() yield duration = timer() - fixturedef._timer_start fixturedef._timer_duration = duration self.stats[(fixname, funcname)] = duration def pytest_terminal_summary(self, terminalreporter, exitstatus): if self.durations is None: return writer = terminalreporter slowest = sorted(self.stats.items(), key=operator.itemgetter(1), reverse=True) if not self.durations: writer.write_sep("=", "slowest fixture durations") else: writer.write_sep("=", "slowest %s fixture durations" % self.durations) slowest = slowest[:self.durations] rows = [] for (fixname, funcname), duration in slowest: row = ['{:.2f}s'.format(duration), fixname, funcname] rows.append(row) widths = [max(map(len, col)) for col in zip(*rows)] for row in rows: writer.write(" ".join((val.ljust(width) for val, width in zip(row, widths)))) writer.line() ================================================ FILE: tests/input/5kb_human_from_chr6.fasta ================================================ >human_5000bp random human subsequence GAAGTTTGGATTATGATATGCTCATTAATTATAAAACAGACTTCAGTAGTCAGAGAATAG TACACATAGGCCATTGAGCAAGTAGGAAATTAAAACAAAATGAAAAAATAAACACTTTCT GCTTTTTTTTTCTTCTTATGTATTGTGAAGAAAATCCAGGGATGGAGTGAATTATCAGTT TAGTTCCCACCTTTGTATATCTGATCTGTCACACACAAATCCACATATACACTTATATGT GAATATATGGCATTAAATGCTCACAAGCAGTCTATGCATATATTATTTGAAAAGATAATC ATTTTTCAATAGTTTGAGAATATATTCCCTGTTAAACTGAATTTACTAACTAAATATTTA CTAAATATACTCTTAACCAGGGTGATTTATGAGATCATAGGAATAACAAAGAATAAAAAT ACCTTCTGCAAAGGAAGCTTTAAATTTTAATTTGATTTGTTTGAAAATTCACATGAAGTC TTTGTAATCAATACATTCAGATCAGTATTCTACGAATCTTTCTGCATGTCAGAAATTAAA ATTTTATTTAGGATTGAAGAGTAAATCATTTGCCAAGTAGGTTTCTAAAAGTGAAAACAA ATGTCAGTTTCAAAAAAGAACAATTTAGTTTTACATTTCTGAGGAAGTCACATATATTAT GTATTAATAAATTAACAGTCTCACATTCTCTTTGATCATTGATTGTTTCTTGGCAGTTTG TTACATACTAGATTCTACACATCTCACAGCTATAAATTCAGTACCAGAATTTAGGGAGAT AATTTTAATGTAAAACAAAGATTGTTGTAAGAGacaacatgtcatagtgtttaagggtca gactccctgggttccagtcccaatttccagctctgtggcattgacacttttacacacttc tctaaacatcagggttttgttttgtttcgtttttttgttgtttctgttttctgtgaagtg gtgatgattttagtgaaataattggaagactgaatgaggtaatgcatgtaaaatacttag cataatgtttggactgtgtagtaaaggctcaataaatgttaaattccattaATTGGGTAA TCCTGGAACTCTTCACTGCAATTAGAATTCTTTATTACAACAAATAAAATTTTGATTCAT CATAAAAAGTAATCAATTTCTTTAATGGACCTCAGAGAAATTAAAATGCCTCCTGGACTG TTAAGTCCTCAGAAATGTATTGCATCTTTAATTCTTTATTTCCTCTGAATACTCATGCAC ATGAGAAAAAATTTCTAAGTTAAGACATGTCTATTCTCCTTTAGTCCTCATTTCAAATAT CAACCACTGTTTACAGTATCACCACTTTTTCCTTTTAAAATGGACTAATCAGTTTTATTT AGAGATTGTTTGACAAAGGGTGATTGCCCCAAATGATGGTTTCCTGAAGACCAGGATATA CCAACCAAGAAAAGGCAAGTATATTTTGTCCACCTAAGTAACTTCTTCTTCTGTGTATTT TTCTGCAAATATGGATGTTCCTTTGGACTAGTCCTTTCTCAATCATATTGAAGTTTAAAT ATATTTACTTTAATTGGTAAAATCAACTTAAAAATCTCTATTCTGATTTTTTCCTAAGGA TTGGTATGCATGTTAAAAGTAACCAAAGTATAATTTATGTCTTGGCCTGTATTGAATGCC TTTTTCCTCCTGAGCAGAGTCAATTGAAAAATATCTTGCTTGCTGCCTCCATTTTTAACA TTTATTCTTAGGCTTAATGTAGGAAACTAGCAATAAAATATAAATCCATATTCTATTTTT TAAAAGATCATACTGTTTTATTTTCAATTTTATGAAACTTTTACTTTTAGATATTACAAA CAAGAGAATTAGAAATGTGACGTTAGACTTTTAACTCTCTGTAGTCCTTTGTATTTAGGA GAGAATTTGGATTAGAAAACCACCTTCTGGAGGAGATTTTGACATTActgtgtgagcaaa ttcaggcaagtcacataatctcttagagagaacttcagtttgctcagttataaagatcaa aataatcatctgtaacacactggattatatggaaagtgtaatatacacgaaatctattta gaaaagtgaaaaccagcatgcaaaaatgttgttgtaattattattattGCCAACATAAAC TTGTAAATTTGTTCACATTTATTAGTTTAGTTCATTGGCCTGTATGTATGTGAAATAATG GTCCAGTCCTTTGATGATAAATATCACAAATTGTTGGATAGATTTGCTGGGTTTGACATT TTAAATTAAGACTCTGATATTCTGTTAGGAAAACATTTATTTCTTTGGTTTTTCTTTTTA CTTTCTATATCACTGGAAGCAATGAGTTTCggcttcatattcacatatttcagagttcca ctcccaaccctgctttccactagtatgacctttggcagtttgcttcacagtttggttcat agaaaatatgaactttattttctgcatctgcaaaatagaaatcataTCTATTCTTTCTTA ATATAGTCTGTACCAAAAGCAATATTAAGATTAATGCACAAATAATGCAGAAGTGGGAAG TTCTCTTAATTCAGGTTTTTTAAGTAATCTAAAACGTTGTTTTAGGCTGCCCATAGAAAA TGAAGTATAATGACTTCGATTTTATTCAATTCCAGTTTTACTCATCTGTAGATGAAGATC AGAAATATAATGAGTTGCTTTATAATAGGCTTCCACTCTTACATCAATCAGACAAGCAGC CTAAAAATAAACACATCCTTTCTGTCCTTGTGTTTCCTGGGAAAGTCAAGAGTTAGCATT AAAGGAAAATGAGTACAAATGAAGATTTATCAAAAAATTTCCCCAAGTGCTAAAAACAAA AATGGTCTGGGAGATATTGTAGTTTTACAGAACTATTTGTTTTCTGTAGGGGGCAAAGGC TATATATAAATAAGCCTAGGTCTCAGTGCCATGTCATGTAACTAAGAATTAAATGTATTA GTCTTTAAAGAATGCAAATGAGGTAAATTTTACATCAGTAAAAATTTTTAAACAGACGAA AATATGGAAACGTGTTAACAGAGCTTCAAAATTTTATGCTATGTTTTTGAATCAGTCTTG AAAATACTACAGATTGGTGTCTGTCCTCCTCTGCAGGTGATAGGTGGGACTATTTCAGAG GACAAATGTGATCAAGCAGCTGGCCATGGTTTTGTTCTGATGGGATTACTCAGCAAATTT AGTAGATAAACTAAACATTTTCCTATTACTTTCTACTTAAAATACTTACTCAACTTGTAA AGGGTTTTATCAAACCTTAGACTTTGTAAACACTTTTAAAAACACTCAGTTTTGTGCCTT TGAACAAGTGTAGCAAAATTAATAGGTGAATCTATATGCAAATTTGTATAGATCTTTGCT TAATTCAGGTAATATCAGCCTAATATATCTATTTTGATTAATTATGTATTTGATTAATTA AACACAACTGGCATTGCACAACTTAACCCCAAATGTATAAACTTTTCTGTTAACCTGGCA TCTATGGGAAATGGCTATTTTAGTAATCCGTTAATGGAAATTTACCATCTGTAGTAGATA TTTTGAGAATTCAAATGGAACAAACAACAGACTACTAAGCCCATACTTTGTATTTATTTA TTTGTGTATTTCataatcacaatactaatgaattattcctgtgtgtcagataaaatttta aatattaactctttcattcttcctaagagccccatgagatagctgttattattacttttg ttttctggatgaaaagactgagacacagaaaagttaagtgacttgcatagtatcacattg agaagaggcagagctgaattcaagttcattctctgagcccttacactataccaccactct gTAAAGATACATATAACACAATATTAGTTAAAAACTCAAAAAGAACTTAGCTTATCCCAT GTTTTGTAACTATAGGACGTTTCAAATAGAAAAATATATGTATTTTAAATCCTGCAAAGT ACATCTCCAGATATGCTTAGTGGCCTCTGTCTGGTAATGTTTCTTCCACCTAGTGTTTTC CAAGCTATAGCCTGCATGTATCCTCACTAATAAAAGGACTTTCTTCTTTAACCAAGCCTA TTGCTCAAAGAATTCTGCAATCTCATCTCTCCCAGGAAACCTCCAAGTGATAAAAAATGG AGTATTGATTTCGACCTGCTATGAGACATGCAAAGTTTACTTTTTACTCACTAATACAAA GTTTTTTGGATTGCTACATTTTAAATTAGTATACATATTTATTTAGATATAAGTTTAGTC TATGTTTAACATTTTGTTTTAGAAAAATTTAAATGTCTTAGGTTACAGGGGCATAGATGT TAAAGGCTTTGCTGTTTAATTACCTTGAACTTTACTTAGCACCATATTAACACAACGAGC TGCTTAATCTTTTCTGTAATTATGATTATAGAAGATCAAAATAAAACTAGAATTACAATT ATCTTTTAATGATTTTAAGTTGGTAAGATGTCATTTCTACTAGACAAAAATAATTTATAG TTAGATTAAGCATCTCTAGTACCAGAAGATACAGGATACCTGTAAAAGAAAGAGAGGTGA AAAGTTCATTCCCTGGCTTAGAGaatattttatttaatttttgtctttaaaataattttC ATAAGTTCTTTTGTAACTCTCAACTTTTATTTACCTGAGAACCAAAAATAAATATCCTAT TAGAAAAAAATAAATCCTGATCCATTCTAACTAAAATAATTTTTTTGTGCTATTTTCTTA ATTGTGGTAACACTCAATTACTGAAAATCAAGCTGATGCAATTTTTTTTAAATGATAAGT GATTCAATGTTTTGGGGATGTGACAGTTTCCTCAGAGGAACTAATCAAAACAAAATTATT TTTCTTGATAAAAAACAGCTACTTCATTTTTTCTAAAAAAAAAAGACAATTCAGAGAACT TATGTAGGTCATTGTCAGTA ================================================ FILE: tests/input/G5012.3.fasta ================================================ >G5012.3 ATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCATAC CTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGGGGGC AAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCAC AAATTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAACATTATTGTTAA AGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACTTTGATTTTGAACC TGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAAAACATTAGAAAT AGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAA AGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC AGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAA CAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCA AGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATTA CAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGA AGTCAAGAAGTGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGG GAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGC CGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGC TTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATA TCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAA TTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGCCGGACATGATGC CAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTCTATTGATTGT CAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCT TGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGCACTCAGCTCCCT GGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAA TCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAGCCCA CGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGCAGC CACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACTTGACCATCTTGG ACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAG CTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGA AGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACAT TCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGAC TGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGATGATGGAGGCTACGG CGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGA TCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGACCAAGGGTGGACA ACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCACGCCAAC TCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCCACTCACGGACAA TGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACCCCAATCAACGA AGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTAGAGTC AGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCCCACC GGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACAAGA TCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCAGCCAGAACATTC TTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCCGTTTTGTA TTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAAAGAGTACAC GTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAA TGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCCAGTAATGAATCA CAGGAATAAATTCATGGCAATCCTGCAACACCATCAGTGAATGAGCATGTAATAATGGGA TGATTTAATCGACAAACAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTT TGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTTTTGAATTTAAAG CTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAAGCG TTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCGATTTATCTAAAT TAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTT TTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTG AATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACAAGA TGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGC CAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTGTAA ACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAAC AAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATC ATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAA CCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAG TTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAA AATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGG CTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGA TTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCATTCA ACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGG CAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACC AATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTCATG CTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAATTA CAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAG GTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGATTG ATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTT GAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAACTGCTGAAC TATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCA ATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAAGATAAATGTAAT AGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAAAAT GATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCT TGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTC CTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTGGCA ACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCATCGAATCCAC TCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCAT CAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGC AAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAA CTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATC CGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGC GAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCCAGT ATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTGCTGCAACAT GGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATC CAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATC TAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTC CAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGC TGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAA AGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATT GTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAATTGCAATAAT TGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAATAAT CCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCATTG TCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTTAAA AGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCAATA CGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTTATCCTCAAATTG CCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAAAAA TCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTCTAATTAAGA AAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTAT TTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCTTCA CTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTC GTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACAT TTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACAAAC TAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCG AGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCG GTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATC TTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGG GCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACT TTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCT ACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGA AGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGA GTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAG AGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCAC AGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGG GAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCT GGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGT ATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGA GACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGT TCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAAT CTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCGTAATAC ACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGC AGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAA AGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAG CCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGA AGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGG ACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATG CAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTG GATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCA AGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACT GTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGA CTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGA ACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGT TGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATG GATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGCTTTATTCTGTAT ATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAACTCAACCTCAAAT CAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAATGAT AACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACA GTTAATCATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAATGATAAACTTGA TGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTACAA TCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTGTAATAATCA GATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCATTGGTAAAAAAG TCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCTTCATATGAGAGA GGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCA CGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAA GTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCA CCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAA AAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAG ACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCA AATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCCAAAATTACCTTGTTGACACTG ATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAAATTA AGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGT CTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAGGCAGAACCCGTT CTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGG CAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTC CAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAA TCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACC CCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATA CCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAATCA CTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAAGAGGTATGATAT AACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGCTCGCAATATAACCTGCCAA GCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACTCTACAGGAGGTA GCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATGATCTCTTAAAAT ATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCTATG GTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTC AGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGA TGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGC GAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCTGTATACCAGTTGCC CCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACACATCTCATACATT GTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAGTGCATAAATCTG GGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACATTA CTTTGAGCACCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAAGGTT ACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGCAAG ACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAG GACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACTATT CAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCC CTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAACCTA TTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTGTGGGCACTGAGA GTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACCCTTA GCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAAC ATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCC AATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAATGGATTA TTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATG GGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGG CCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCG ACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAGATGG AATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACTTGACATCTCTGC CTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTT AACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAG GACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATAT TAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTGTAACTAAACCCG CAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCATACTCGTAACTA ACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTATTGG GTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACA CAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGAC CTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATCCGCAACTACGCAAC TGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTTACCAAGTTCTTA AGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCA CTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATT ATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGTGCT CAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAAT GAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGTAGA TTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATTTAATAGACATCTTA GGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCACTGAACACACAA GGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAAGAAGCGGTTCAA GGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATGTGCAAAGATTTA ATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCCAGTT TGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTA CTCTCCATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAACCATTGTGCTTG GCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATG CATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCACTAAAGCCTTCA CAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAA CAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTGCTACATAGTGAA ACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATCGTG ATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAA GGATCTTGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTTAATTCTTATATC AAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTATGGGAATTTTACCAC CTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAA GACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTG GGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAATTTTTAGAGCAA GAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCA CAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTC GGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGAT GGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAACAAAAAGAA AGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGTGAGCATGCCACA GTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGGTATGAG TTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAAT TGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCG CATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGT CATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAA ATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGACAAT CAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAGCAGGAACAG AGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGT GGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAA AAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCA CCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCT TTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATAACCGCAGCTTTC CATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTTAATAAAGGTTTT GACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCATTGGCACTA GCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGG AATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATGATT GAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATT GACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTT CTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACC TTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGTGGCTCTTATCATCA ACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCGAGCGGGAAGCGA TTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAAC AATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTGCAAAGGTGGAGT CTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATA ACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAG GGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTTTGG CTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACCTGGTGGGAAACCA TTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAATGCATCCCGAATA AGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGG CAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCG TCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTT TTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTAC TCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAAT CGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCA GGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCA GTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAGTATAATCGT GCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAGTACTTAACATAC ACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGACAAT AATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCATTTTTCCAAGGC AAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTATCTGGATGGGAG CTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAATAATTCGTCTACAGACCCA ATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAAATAGGA CTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACT AAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCA CATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGATTA ATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTC TCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAG GAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCATTAGAGGGT CAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTGGTGCATGAT TCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACATCCTCACGACAAT CTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGG AGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGGATCA AGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCA CATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATAAAAAGAACGACA ATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCTGCT TGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAATGTGAAATCTCAG GATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACATCGTCTAGTCCTA CCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACC CAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTAT TGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAA ATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCCTTACTA TTGATTCAGAAATACCAAGTTAAGACCTTATTCTTCAACACGCTAGCTACTGAGTCCAGT ATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCA AAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGAC ATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTT ATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTA CATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTC TTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTTTTTGCC ACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTATCTTTGT CTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAG CAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCAT TTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTTCCATCA TTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACTAGTC TCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTAT AATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGA ATCACAAAACTAGTCAATGATTACTTAAAATTCTTTCTTATTGTACAAGCATTAAAACAT AATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGG TTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTA CATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTA TTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACTTGTA AAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATCT TGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTATACACTA TATTTGGCCTCTCTCCCTGCGTGATAATCAAAAATTCACAATACAGCATGTGTGACATAT TACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATAATTAAGCTTT AACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATATCTTGCCA GATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTTTAAGATT AAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTTAAAAATGGTGATAGCCTTAA TCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTAC TATTCCATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAATCAGAAATACCT TCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGGCATTGAC CACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATCCCTGGAAAAATGGT CGCACACAAAAATTTAAAAATAAATCTATTTC ================================================ FILE: tests/input/README.md ================================================ Description of input files: - ebola.fasta is a collection of Ebolavirus genomes from many Ebolavirus species (EBOV, SUDV, etc) - ebov-makona.fasta is our typical EBOV 2014 reference genome (the earliest Baize et al sequence from Guinea) - G5012.3.testreads.bam is a stripped down set of reads for one particular Sierra Leone patient. These reads are unaligned. This only contains 9179 read pairs that map to EBOV, none of which are PCR duplicates according to Picard after alignment. An additional 200 read pairs that fail to map to EBOV are included here as well. This contains reads from 12 read groups: six from one library prep and six from another independent prep. There are no non-EBOV reads here. - G5012.3.subset.bam is just 200 random reads from G5012.3.testreads.bam, only four read groups, one library. Just to speed up unit tests that don't care about having a lot of reads. This should be updated sometime to be an interesting set of 200 reads (perhaps all aligning to an interesting iSNV) so as to make it more useful for certain kinds of unit tests. - G5012.3.fasta is the consensus assembly that is created from G5012.3.testreads.bam. ================================================ FILE: tests/input/TestAssembleSpades/clipDb.fasta ================================================ >NuGEN TCTATAGTTTAGGTAACTTTGTGTTTGA >TruSeq3_IndexedAdapter AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC >TruSeq3_UniversalAdapter AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA >PrefixPE/1 TACACTCTTTCCCTACACGACGCTCTTCCGATCT >PrefixPE/2 GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT >PE1_rc AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA >PrefixNX/1 AGATGTGTATAAGAGACAG >PrefixNX/2 AGATGTGTATAAGAGACAG >Trans1 TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG >Trans1_rc CTGTCTCTTATACACATCTGACGCTGCCGACGA >Trans2 GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAG >Trans2_rc CTGTCTCTTATACACATCTCCGAGCCCACGAGAC >TruSeq2_SE AGATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG >TruSeq2_PE_f AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT >TruSeq2_PE_r AGATCGGAAGAGCGGTTCAGCAGGAATGCCGAG >PCR_Primer1_rc AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTAGATCTCGGTGGTCGCCGTATCATT >PCR_Primer2 CAAGCAGAAGACGGCATACGAGATCGGTCTCGGCATTCCTGCTGAACCGCTCTTCCGATCT >PCR_Primer2_rc AGATCGGAAGAGCGGTTCAGCAGGAATGCCGAGACCGATCTCGTATGCCGTCTTCTGCTTG >FlowCell1 TTTTTTTTTTAATGATACGGCGACCACCGAGATCTACAC >FlowCell2 TTTTTTTTTTCAAGCAGAAGACGGCATACGA >TruSeq Universal Adapter AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT >TruSeq Adapter, Index 1 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATCACGATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 2 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGATGTATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 3 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTAGGCATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 4 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGACCAATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 5 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACAGTGATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 6 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCAATATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 7 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGATCATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 8 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACTTGAATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 9 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGATCAGATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 10 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTAGCTTATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 11 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGGCTACATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 12 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTTGTAATCTCGTATGCCGTCTTCTGCTTG >Illumina Single End Adapter 1 ACACTCTTTCCCTACACGACGCTGTTCCATCT >Illumina Single End Adapter 2 CAAGCAGAAGACGGCATACGAGCTCTTCCGATCT >Illumina Paired End Adapter 2 CTCGGCATTCCTGCTGAACCGCTCTTCCGATCT >Illumina Paried End Sequencing Primer 1 ACACTCTTTCCCTACACGACGCTCTTCCGATCT >Illumina Paired End Sequencing Primer 2 CGGTCTCGGCATTCCTACTGAACCGCTCTTCCGATCT >Illumina Multiplexing Adapter 1 GATCGGAAGAGCACACGTCT >Illumina Multiplexing Index Sequencing Primer GATCGGAAGAGCACACGTCTGAACTCCAGTCAC >Illumina Multiplexing Read2 Sequencing Primer GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT >Illumina PCR Primer Index 1 CAAGCAGAAGACGGCATACGAGATCGTGATGTGACTGGAGTTC >Illumina PCR Primer Index 2 CAAGCAGAAGACGGCATACGAGATACATCGGTGACTGGAGTTC >Illumina PCR Primer Index 3 CAAGCAGAAGACGGCATACGAGATGCCTAAGTGACTGGAGTTC >Illumina PCR Primer Index 4 CAAGCAGAAGACGGCATACGAGATTGGTCAGTGACTGGAGTTC >Illumina PCR Primer Index 5 CAAGCAGAAGACGGCATACGAGATCACTGTGTGACTGGAGTTC >Illumina PCR Primer Index 6 CAAGCAGAAGACGGCATACGAGATATTGGCGTGACTGGAGTTC >Illumina PCR Primer Index 7 CAAGCAGAAGACGGCATACGAGATGATCTGGTGACTGGAGTTC >Illumina PCR Primer Index 8 CAAGCAGAAGACGGCATACGAGATTCAAGTGTGACTGGAGTTC >Illumina PCR Primer Index 9 CAAGCAGAAGACGGCATACGAGATCTGATCGTGACTGGAGTTC >Illumina PCR Primer Index 10 CAAGCAGAAGACGGCATACGAGATAAGCTAGTGACTGGAGTTC >Illumina PCR Primer Index 11 CAAGCAGAAGACGGCATACGAGATGTAGCCGTGACTGGAGTTC >Illumina PCR Primer Index 12 CAAGCAGAAGACGGCATACGAGATTACAAGGTGACTGGAGTTC >RNA PCR Primer, Index 1 CAAGCAGAAGACGGCATACGAGATCGTGATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 2 CAAGCAGAAGACGGCATACGAGATACATCGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 3 CAAGCAGAAGACGGCATACGAGATGCCTAAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 4 CAAGCAGAAGACGGCATACGAGATTGGTCAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 5 CAAGCAGAAGACGGCATACGAGATCACTGTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 6 CAAGCAGAAGACGGCATACGAGATATTGGCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 7 CAAGCAGAAGACGGCATACGAGATGATCTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 8 CAAGCAGAAGACGGCATACGAGATTCAAGTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 9 CAAGCAGAAGACGGCATACGAGATCTGATCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 10 CAAGCAGAAGACGGCATACGAGATAAGCTAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 11 CAAGCAGAAGACGGCATACGAGATGTAGCCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 12 CAAGCAGAAGACGGCATACGAGATTACAAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 13 CAAGCAGAAGACGGCATACGAGATTTGACTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 14 CAAGCAGAAGACGGCATACGAGATGGAACTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 15 CAAGCAGAAGACGGCATACGAGATTGACATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 16 CAAGCAGAAGACGGCATACGAGATGGACGGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 17 CAAGCAGAAGACGGCATACGAGATCTCTACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 18 CAAGCAGAAGACGGCATACGAGATGCGGACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 19 CAAGCAGAAGACGGCATACGAGATTTTCACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 20 CAAGCAGAAGACGGCATACGAGATGGCCACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 21 CAAGCAGAAGACGGCATACGAGATCGAAACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 22 CAAGCAGAAGACGGCATACGAGATCGTACGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 23 CAAGCAGAAGACGGCATACGAGATCCACTCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 24 CAAGCAGAAGACGGCATACGAGATGCTACCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 25 CAAGCAGAAGACGGCATACGAGATATCAGTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 26 CAAGCAGAAGACGGCATACGAGATGCTCATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 27 CAAGCAGAAGACGGCATACGAGATAGGAATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 28 CAAGCAGAAGACGGCATACGAGATCTTTTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 29 CAAGCAGAAGACGGCATACGAGATTAGTTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 30 CAAGCAGAAGACGGCATACGAGATCCGGTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 31 CAAGCAGAAGACGGCATACGAGATATCGTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 32 CAAGCAGAAGACGGCATACGAGATTGAGTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 33 CAAGCAGAAGACGGCATACGAGATCGCCTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 34 CAAGCAGAAGACGGCATACGAGATGCCATGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 35 CAAGCAGAAGACGGCATACGAGATAAAATGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 36 CAAGCAGAAGACGGCATACGAGATTGTTGGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 37 CAAGCAGAAGACGGCATACGAGATATTCCGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 38 CAAGCAGAAGACGGCATACGAGATAGCTAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 39 CAAGCAGAAGACGGCATACGAGATGTATAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 40 CAAGCAGAAGACGGCATACGAGATTCTGAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 41 CAAGCAGAAGACGGCATACGAGATGTCGTCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 42 CAAGCAGAAGACGGCATACGAGATCGATTAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 43 CAAGCAGAAGACGGCATACGAGATGCTGTAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 44 CAAGCAGAAGACGGCATACGAGATATTATAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 45 CAAGCAGAAGACGGCATACGAGATGAATGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 46 CAAGCAGAAGACGGCATACGAGATTCGGGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 47 CAAGCAGAAGACGGCATACGAGATCTTCGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 48 CAAGCAGAAGACGGCATACGAGATTGCCGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >Custom add, Illumina Paired End Adapter 2 GATCGGAAGAGCGGTTCAGCAGGAATGC >Nextera S501 AATGATACGGCGACCACCGAGATCTACACTAGATCGCTCGTCGGCAGCGTC >Nextera S502 AATGATACGGCGACCACCGAGATCTACACCTCTCTATTCGTCGGCAGCGTC >Nextera S503 AATGATACGGCGACCACCGAGATCTACACTATCCTCTTCGTCGGCAGCGTC >Nextera S504 AATGATACGGCGACCACCGAGATCTACACAGAGTAGATCGTCGGCAGCGTC >Nextera S505 AATGATACGGCGACCACCGAGATCTACACGTAAGGAGTCGTCGGCAGCGTC >Nextera S506 AATGATACGGCGACCACCGAGATCTACACACTGCATATCGTCGGCAGCGTC >Nextera S507 AATGATACGGCGACCACCGAGATCTACACAAGGAGTATCGTCGGCAGCGTC >Nextera S508 AATGATACGGCGACCACCGAGATCTACACCTAAGCCTTCGTCGGCAGCGTC >Nextera N711fw CAAGCAGAAGACGGCATACGAGATAAGAGGCAGTCTCGTGGGCTCGG >Nextera N703fw CAAGCAGAAGACGGCATACGAGATAGGCAGAAGTCTCGTGGGCTCGG >Nextera N708fw CAAGCAGAAGACGGCATACGAGATCAGAGAGGGTCTCGTGGGCTCGG >Nextera N710fw CAAGCAGAAGACGGCATACGAGATCGAGGCTGGTCTCGTGGGCTCGG >Nextera N702fw CAAGCAGAAGACGGCATACGAGATCGTACTAGGTCTCGTGGGCTCGG >Nextera N707fw CAAGCAGAAGACGGCATACGAGATCTCTCTACGTCTCGTGGGCTCGG >Nextera N709fw CAAGCAGAAGACGGCATACGAGATGCTACGCTGTCTCGTGGGCTCGG >Nextera N705fw CAAGCAGAAGACGGCATACGAGATGGACTCCTGTCTCGTGGGCTCGG >Nextera N712fw CAAGCAGAAGACGGCATACGAGATGTAGAGGAGTCTCGTGGGCTCGG >Nextera N701fw CAAGCAGAAGACGGCATACGAGATTAAGGCGAGTCTCGTGGGCTCGG >Nextera N706fw CAAGCAGAAGACGGCATACGAGATTAGGCATGGTCTCGTGGGCTCGG >Nextera N704fw CAAGCAGAAGACGGCATACGAGATTCCTGAGCGTCTCGTGGGCTCGG >Nextera N701 CAAGCAGAAGACGGCATACGAGATTCGCCTTAGTCTCGTGGGCTCGG >Nextera N702 CAAGCAGAAGACGGCATACGAGATCTAGTACGGTCTCGTGGGCTCGG >Nextera N703 CAAGCAGAAGACGGCATACGAGATTTCTGCCTGTCTCGTGGGCTCGG >Nextera N704 CAAGCAGAAGACGGCATACGAGATGCTCAGGAGTCTCGTGGGCTCGG >Nextera N705 CAAGCAGAAGACGGCATACGAGATAGGAGTCCGTCTCGTGGGCTCGG >Nextera N706 CAAGCAGAAGACGGCATACGAGATCATGCCTAGTCTCGTGGGCTCGG >Nextera N707 CAAGCAGAAGACGGCATACGAGATGTAGAGAGGTCTCGTGGGCTCGG >Nextera N708 CAAGCAGAAGACGGCATACGAGATCCTCTCTGGTCTCGTGGGCTCGG >Nextera N709 CAAGCAGAAGACGGCATACGAGATAGCGTAGCGTCTCGTGGGCTCGG >Nextera N710 CAAGCAGAAGACGGCATACGAGATCAGCCTCGGTCTCGTGGGCTCGG >Nextera N711 CAAGCAGAAGACGGCATACGAGATTGCCTCTTGTCTCGTGGGCTCGG >Nextera N712 CAAGCAGAAGACGGCATACGAGATTCCTCTACGTCTCGTGGGCTCGG >Broad Barcode tagged_57 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAAGTAGAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_100 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACACGATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_473 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGCGCGGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_373 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCATGATCGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_498 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGTTACCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_861 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCCTTGGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_23 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAACGCATTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_109 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACAGGTATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_218 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTAAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_3 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAACAATGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_163 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACTGTATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_220 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTCGCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_375 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCATGCTTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_726 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGGTCCAGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_880 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCTGGCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_214 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGATCTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_754 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCTGATGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_223 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTTATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_309 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAACTCTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_379 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCAACATTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_500 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTAACTCGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_291 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTCCTCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_504 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTACCAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_534 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTGCGGATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_630 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCACATCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_741 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTATAACAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_367 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCATAGCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_579 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACAGTAAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_938 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTACGCACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_745 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCATCTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_542 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTGTAATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_655 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCGTCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_732 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTAACATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_567 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGAAGGAAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_584 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACCTAACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_117 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACCAACTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_908 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGCTCGACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_954 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTCGCTGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_357 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGGAGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_426 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCTATGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_959 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTGAATAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_438 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCTTCGCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_778 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTAAGCACAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_821 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTATCTGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_924 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGTAATCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_868 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCGCTAGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_899 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGCAAGTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_934 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTAATCAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_190 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGCAATTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_34 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAACTTGACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_927 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGTCGGATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_866 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCGCCTTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_38 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAAGACACTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_875 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCTCGGTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_78 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAATGTTCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_151 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACTAAGACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_288 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTATCAAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_110 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACAGTTGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_195 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGCATGGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_222 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTGCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_236 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGTTGCTTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_332 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCACATCCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_289 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTATGTTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_250 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATAGCGTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_352 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGCAAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_298 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTGTCTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_355 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGCGGTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_469 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGCCTTCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_509 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTATGCGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_320 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAATAGTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_474 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGCTATGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_544 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTGTGGCGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_393 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCAGTTAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_869 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCGGAATGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_422 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCTACCATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_564 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGAAGAAGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_851 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCCAGCAAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_559 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGAACCTAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_581 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACCAGGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_657 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCTAGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_747 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCCACAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_583 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACCGTTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_616 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGATATCCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_652 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCGCAACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_960 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTGAGCCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_52 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAAGGATGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_800 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTACTTAGCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_293 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTCTAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_388 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCAGAGCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_786 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTAATGAACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_818 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTATCCAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_910 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGCTGCTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_968 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTGTCTATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_878 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCTGCAAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_923 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGTAACTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_944 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTATATCTATCTCGTATGCCGTCTTCTGCTTG ================================================ FILE: tests/input/TestAssembleSpades/trinity_contigs.fasta ================================================ >comp0_c0_seq1 len=381 path=[0:0-380] TGAGACTCGGCGTCATCCAGACTTTCTGAGGACGAGAATCCATACTCGGAATTTTGTGAT TCCGAGCAATTTGTCTTTAAACTATTTCTAATGTTTTACCCCAGGCTTTAGGGTTGTTGA GTCTCCAGTCCTCTGGGTGTTCAGGTTCAAAATCAAAGTTAATTCTCAATCTTGCTTGTT TGACTGTGAACTAATGCTGTCCTTTAACAATAATGTTGCTATTAAGGTTGTTGGATCACC CTGCAGAGTTTAAGGCGGAATTTGTGATGTGATAAGGCCTAGATGTTGACAAGGGATTTT CAACTGAGCACACTGATGCCCTTGCCCCCTCCGGAGACCTAGGTTGTTCTCTATCTTGGT GATATGGCTCTGAAACAAACC >comp3_c0_seq1 len=348 path=[0:0-347] TTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTG AAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCG TTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAGCAGGAACAGAGCGCCGAGGACA ATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAA AACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGA ATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCAC >comp4_c0_seq1 len=328 path=[0:0-327] TTTAATTTTATCATTCTGAATGGAATAGTAGCTTACTAGACAAAAATGTTAAAGTTATTA CACCTAATCTCTTATTTTACACAAAGATTAAGGCTATCACCATTTTTAAAATCGACAAAT TAAAGCAATGACAATTATAAAAAACTTAATCTTAAAGATCAGTTTTGTTTTAAGAAGTCG TGTTATCAACCAAAGCACTATTCCATCTGGCAAGATATTGATACAACATTACTATATCAC TAACAATATGAGCCCAGACCTATCGTTAAAGCTTAATTATAAAGAGTGCGGAGTTTATTA TGTTGCGTTAGACTCATTGCAGCAGTAA >comp2_c0_seq1 len=376 path=[0:0-375] AGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATG ACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATC GAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGA CAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGA GACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCA GCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCA GGGATAGTGATAACAC ================================================ FILE: tests/input/TestBmtagger/expected.Match.1.fastq ================================================ @from_chr1_1/1 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @from_chr9_1 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT + CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT + DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD ================================================ FILE: tests/input/TestBmtagger/expected.Match.2.fastq ================================================ @from_chr1_1/2 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT + ABABABABABABABABABABABABABABABABABABABABABABABABAB @from_chr9_1 GGGGTGGATCGAGGTGGGTGGTGGCATCTGGGATCTCTGCTTGGCTTCCC + CDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCD @from_chr1_2 AATTCTAAGAAATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTT + DEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDE ================================================ FILE: tests/input/TestBmtagger/expected.NoMatch.1.fastq ================================================ @from_ebov_1/1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC + EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE ================================================ FILE: tests/input/TestBmtagger/expected.NoMatch.2.fastq ================================================ @from_ebov_1/2 TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA + BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC @from_ebov_2 GCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC + EFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEF ================================================ FILE: tests/input/TestBmtagger/humanChr1Subset.fa ================================================ >chr1 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTTCAGTGATGAATCTGGAGTGGTTCTTTTTTTATTTAATGTGGTTATTTTTTGAAGAGACTTTCAATTCCATGTCTCCTGTCAATTCTAAGAAATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT ================================================ FILE: tests/input/TestBmtagger/humanChr9Subset.fa ================================================ >chr9 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGTGAAGACGGAGACTCTCTTTGGGCAAAGCGGGGCTTTCAGCACGTTCGGTGGTACAGCTCTGACCCTGGCCAATCATGGCACTGACCTATGCCACCATATGGGGGTGGATCGAGGTGGGTGGTGGCATCTGGGATCTCTGCTTGGCTTCCC ================================================ FILE: tests/input/TestBmtagger/in1.fastq ================================================ @from_chr1_1/1 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @from_ebov_1/1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_chr9_1 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT + CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT + DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD @from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC + EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE ================================================ FILE: tests/input/TestBmtagger/in2.fastq ================================================ @from_chr1_1/2 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT + ABABABABABABABABABABABABABABABABABABABABABABABABAB @from_ebov_1/2 TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA + BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC @from_chr9_1 GGGGTGGATCGAGGTGGGTGGTGGCATCTGGGATCTCTGCTTGGCTTCCC + CDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCD @from_chr1_2 AATTCTAAGAAATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTT + DEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDE @from_ebov_2 GCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC + EFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEF ================================================ FILE: tests/input/TestBmtaggerDbBuild/expected/TestBmtaggerDbBuild.srprism.idx.md5 ================================================ 2e9748024dabadd49dc0862aae5f7180 ================================================ FILE: tests/input/TestBmtaggerDbBuild/expected/TestBmtaggerDbBuild.srprism.imp ================================================ 20 Bundibugyo_ebolavirus_complete_genome Bundibugyo_ebolavirus_isolate_EboBund-14_2012_complete_genome Cote_dIvoire_ebolavirus_complete_genome Reston_ebolavirus_isolate_RESTV/M.fascicularis-tc/PHL-USA/1996/Ferlite_Philippines/Alice_TX_complete_genome Reston_ebolavirus_isolate_RESTV/Sus-wt/PHL/2009/09A_Farm_A_complete_genome Reston_ebolavirus_-_Reston_strain_Reston08-C_complete_genome Reston_ebolavirus_-_Reston_strain_Reston08-E_complete_genome Reston_Ebola_virus_strain_Pennsylvania_complete_genome Sudan_ebolavirus_isolate_EboSud-609_2012_complete_genome Sudan_ebolavirus_isolate_EboSud-639_complete_genome Sudan_ebolavirus_isolate_EBOV-S-2004_from_Sudan_complete_genome Sudan_ebolavirus_-_Nakisamata_complete_genome Sudan_ebolavirus_strain_Gulu_complete_genome Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/COD/1977/Bonduni_complete_genome Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/COD/2007/43_Luebo_complete_genome Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/1Eko_complete_genome Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/2Nza_complete_genome Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/Ilembe_complete_genome Zaire_ebolavirus_isolate_H.sapiens-wt/GIN/2014/Gueckedou-C05_complete_genome Zaire_ebolavirus_strain_Zaire_1995_complete_genome ================================================ FILE: tests/input/TestBmtaggerDbBuild/expected/TestBmtaggerDbBuild.srprism.map.md5 ================================================ 7ecc55c01c27f9569f3926587d5b1743 ================================================ FILE: tests/input/TestBmtaggerDbBuild/expected/TestBmtaggerDbBuild.srprism.rmp ================================================ ================================================ FILE: tests/input/TestBmtaggerDbBuild/expected/TestBmtaggerDbBuild.srprism.ss.md5 ================================================ 143908e3c1d360f5c3f1dae078a8f811 ================================================ FILE: tests/input/TestBmtaggerDbBuild/expected/TestBmtaggerDbBuild.srprism.ssa ================================================ R ================================================ FILE: tests/input/TestDepleteBlastnBam/expected.sam ================================================ @HD VN:1.4 SO:queryname @RG ID:A PL:9.75 LB:Alexandria SM:FreeSample CN:KareemAbdul-Jabbar from_ebov_1 77 * 0 0 * * 0 0 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC ################################################## RG:Z:A from_ebov_1 141 * 0 0 * * 0 0 GCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC &'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&'&' RG:Z:A ================================================ FILE: tests/input/TestDepleteBlastnBam/humanChr1Subset.fa ================================================ >chr1 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTTCAGTGATGAATCTGGAGTGGTTCTTTTTTTATTTAATGTGGTTATTTTTTGAAGAGACTTTCAATTCCATGTCTCCTGTCAATTCTAAGAAATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT ================================================ FILE: tests/input/TestDepleteBlastnBam/humanChr9Subset.fa ================================================ >chr9 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGTGAAGACGGAGACTCTCTTTGGGCAAAGCGGGGCTTTCAGCACGTTCGGTGGTACAGCTCTGACCCTGGCCAATCATGGCACTGACCTATGCCACCATATGGGGGTGGATCGAGGTGGGTGGTGGCATCTGGGATCTCTGCTTGGCTTCCC ================================================ FILE: tests/input/TestDepleteHuman/partial_pan-viral-9seqs-with-human-random-subset.fasta ================================================ >gi|190684443|gb|EU255973.1| Hepatitis C virus subtype 1a isolate HCV-1a/US/BID-V180/1990, complete genome GAGCCATGGCGTTAGTATGAGTGTCGTGCAGCCTCCAGGACCCCCCCTCCCGGGAGAGCC ATAGTGGTCTGCGGAACCGGTGAGTACACCGGAATTGCCAGGACGACCGGGTCCTTTCTT GGATAAACCCGCTCAATGCCTGGAGATTTGGGCGTGCCCCCGCAAGACTGCTAGCCGAGT AGTGTTGGGTCGCGAAAGGCCTTGTGGTACTGCCTGATAGGGTGCTTGCGAGTGCCCCGG GAGGTCTCGTAGACCGTGCACCATGAGCACGAATCCTAAACCTCAAAGAAAAACCAAACG TAACACCAACCGTCGCCCACAGGACGTCAAGTTCCCGGGTGGCGGTCAGATCGTTGGTGG AGTTTACTTGTTGCCGCGCAGGGGCCCTAGATTGGGTGTGCGCGCGACGAGGAAGACTTC CGAGCGGTCGCAACCTCGAGGTAGACGTCAGCCTATCCCCAAGGCACGTCGGCCCGAGGG CAGGACCTGGGCTCAGCCCGGGTATCCTTGGCCCCTCTATGGCAATGAGGGTTGCGGGTG GGCGGGATGGCTCCTGTCTCCCCGAGGCTCTCGGCCTAGTTGGGGCCCCACAGACCCCCG GCGTAGGTCGCGCAATCTGGGTAAGGTCATCGATACCCTTACGTGCGGCTTCGCCGACCT CATGGGGTACATACCGCTCGTCGGCGCTCCTCTTGGAGGCGCTGCCAGGGCTCTGGCGCA TGGCGTCAGGGTTCTGGAAGACGGCGTGAACTATGCAACAGGGAACCTTCCTGGTTGCTC TTTCTCTATCTTCCTTCTGGCCCTACTCTCTTGCCTGACCGTGCCCGCCTCAGCCTACCA AGTGCGCAACTCCTCGGGGCTTTACCATGTCACCAATGATTGCCCTAACTCGAGTATTGT GTACGAGGCGGCCGATGCCATCCTGCACACTCCGGGGTGTGTCCCTTGCGTTCGCGAGGG TAACGCCTCGAGGTGTTGGGTGCCGGTGACCCCCACGGTGGCCACCAGGGACGGCAAGCT CCCCACAACGCAGCTTCGACGTCATATCGATCTGCTCGTCGGGGGCGCCACCCTCTGCTC GGCTCTCTACGTGGGGGACCTGTGCGGGTCTGTCTTTCTTGTCGGCCAGCTGTTTACCCT CTCTCCCAGGCGCCACTGGACGACGCAGGGCTGTAATTGTTCTATCTATCCCGGCCATAT AACGGGTCACCGCATGGCATGGGATATGATGATGAACTGGTCCCCTACAACGGCGTTGGT GGTAGCTCAGCTGCTCCGGATCCCACAAGCCATCATGGACATGATCGCTGGTGCTCACTG GGGAGTCCTGGCGGGCATAGCGTACTTCTCCATGGTGGGGAACTGGGCGAAGGTCCTGGT AGTGCTACTGCTATTTGCCGGCGTCGACGCGGAAACCCACGTCACCGGGGGAAGTGCCGG CCGCACCGTGGCTGGGCTTACTGGTCTCTTCGCACCAGGCGCCAGACAGAACATCCAACT GATCAACACCAACGGCAGTTGGCACATCAATAGCACGGCCTTGAACTGCAATGATAGCCT TCAAACCGGCTGGATAGCAGGCCTCTTCTATCACCACAAATTCAACTCTTCAGGCTGTTC CGAGAGGTTGGCCAGCTGCCGACGCCTTACTGATTTTGCCCAGGGCTGGGGCCCCATCAG TTATGCCAACGGAAGCGGCCCCGACGAGCGTCCCTACTGCTGGCACTACCCCCCAAGACC TTGTGGTATTGTGCCCGCAAGGAGCGTGTGTGGCCCGGTATATTGCTTCACTCCCAGCCC CGTGGTGGTGGGAACGACCGACAGGTCGGGTGCGCCTACCTACAACTGGGGTGAAAATGA TACGGACGTTTTCGTCCTCAACAACACCAGGCCACCGCTGGGCAATTGGTTCGGTTGCAC CTGGATGAACTCGACTGGATTCACCAAAGTGTGCGGAGCGCCCCCTTGTGTCATCGGAGG GGTGGGCAATAACACCTTGCGCTGCCCCACTGATTGCTTCCGCAAGCATCCGGAAGCCAC ATACTCTCGGTGCGGCTCCGGTCCCTGGATTACACCCAGGTGCATGGTCGACTACCCGTA TAGGCTTTGGCATTACCCTTGTACCATCAACTACACCATATTCAAAGTCAGGATGTACGT GGGAGGGGTCGAGCACAGGCTGGAAGCTGCCTGCAACTGGACGCGGGGCGAACGCTGCGA TCTGGAAGACAGGGACAGGTCCGAGCTCAGCCCATTGCTGCTGTCCACCACACAGTGGCA GGTTCTTCCGTGTTCTTTCACGACCCTGCCAGCCTTGTCCACCGGCCTCATCCACCTCCA CCAGAACATCGTGGACGTGCAGTACTTGTACGGGGTAGGGTCAAGCATTGCGTCCTGGGC CATTAAGTGGGAGTATGTCGTTCTCCTGTTCCTTCTGCTTGCAGACGCGCGCGTCTGCTC CTGCTTGTGGATGATGTTACTCATATCCCAAGCGGAGGCGGCTTTGGAGAACCTCGTAAT ACTCAATGCAGCATCCCTGGCCGGGACGCACGGTCTTGTGTCCTTCCTAGTGTTCTTCTG CTTTGCGTGGTATCTGAAGGGTAGGTGGGTGCCCGGAGCGGCATACGCCTTCTACGGGAT GTGGCCTCTCCTCCTGCTCCTGCTGGCGTTGCCTCAACGGGCATACGCACTGGACACGGA GGTGGCCGCGTCGTGTGGCGGCGTTGTTCTTGTCGGGTTAATGGCGCTGACTCTGTCACC ATATTACAAGCGCCACATCGGCTGGTGCTTGTGGTGGCTTCAGTATCTTCTGACCAGAGT AGAAGCGCATCTGCACGTGTGGGTTCCCCCCCTCAACGTTCGAGGGAGGCGCGATGCCAT CATCTTGCTCATGTGTGCTGTACACCCGACTTTGGTATTTGACATCACCAAACTACTGCT GGCCGTCTTCGGACCCCTTTGGATTCTCCAAGCCAGTTTGCTCAAAGTCCCCTACTTCGT GCGCGTTCAAGGCCTCCTCCGGATCTGCGCGCTAGCGCGGAAGATGGTCGGGGGTCATTA CGTGCAGATGGCCATCATCAAGTTAGGGGCGCTTACTGGTACCTATGTTTACAACCACCT CACTCCTCTTCGGGACTGGGCGCACAACGGCCTGCAAGATCTGGCCGTGGCTGTGGAACC TGTCGTCTTCTCCCCAATGGAGACCAAGCTCATCACGTGGGGGGCGGACACCGCCGCGTG CGGCGACATCATCGACGGCTTGCCCGTCTCCGCCCGTAGGGGCCAGGAGATACTGCTTGG ACCAGCCGACGGAATGGTCTCCAAGGGGTGGAGGTTGCTGGCGCCCATCACGGCGTACGC CCAGCAGACGAGAGGCCTCCTAGGGTGTATAATCACCAGCCTGACTGGCCGGGACAAGAA CCAAGTGGAGGGTGAGGTCCAGATCGTGTCAACCGCTGCCCAAACTTTCCTGGCAACGTG CATCAATGGGGTATGCTGGACTGTCTACCACGGGGCCGGAACGAGGACCATCGCATCACC CAAGGGTCCTGTTATCCAGATGTATACCAATGTGGACCAAGACCTCGTGGGCTGGCCCGC TCCTCCAGGTTCCCGCTCATTAACACCCTGCACCTGCGGCTCCTCGGACCTCTACCTGGT CACGAGGCACGCCGATGTCATTCCCGTGCGCCGGCGGGGTGATAGCAGGGGCAGCCTGCT TTCGCCCCGGCCCATCTCCTACTTGAAAGGCTCCTCGGGGGGTCCGCTGTTGTGCCCCGC GGGACACGCCGTGGGCATATTCAGGGCCGCGGTGTGCACCCGTGGAGTGGCTAAAGCGGT GGACTTTATCCCTGTGGAGAACCTAGAGACAACCATGAGATCCCCGGTGTTCACGGACAA CTCCTCTCCACCAGCAGTGCCCCAGAGCTTCCAGGTAGCCCACCTGCATGCTCCCACCGG CAGCGGTAAGAGCACCAAGGTTCCGGCTGCGTACGCAGCTCAAGGCTACAAGGTGCTGGT GCTCAACCCCTCTGTTGCTGCAACACTGGGCTTTGGTGCTTACATGTCCAAGGCCCATGG GGTCGATCCTAACATCAGGACTGGGGTGAGAACAATTACCACTGGCAGCCCCATCACGTA CTCCACCTACGGCAAGTTCCTTGCCGACGGCGGGTGCTCAGGGGGTGCTTATGACATAAT AATTTGTGACGAGTGCCACTCCACGGATGCTACATCCATCTTGGGCATCGGCACTGTCCT TGACCAAGCAGAGACTGCGGGGGCGAGACTGGTTGTGCTCGCCACTGCTACTCCTCCGGG CTCCGTCACTGTGCCCCATCCTAACATCGAGGAGGTTGCTCTGTCCACCACCGGAGAGAT CCCTTTTTACGGCAAGGCTATTCCCCTCGAGGTGATCAAGGGGGGAAGACATCTCATCTT CTGTCACTCAAAGAAGAAGTGCGATGAGCTCGCCGCAAAGCTGGTCGCGTTGGGCGTCAA TGCCGTGGCCTACTACCGCGGTCTCGACGTGTCTGTCATCCCGACCAGCGGCGATGTTGT CGTCGTGGCGACCGATGCTCTCATGACTGGCTATACCGGCGACTTCGACTCTGTGATAGA CTGCAACACGTGTGTCACCCAGACAGTCGATTTCAGCCTTGACCCTACCTTCACCATTGA GACAACCACGCTCCCCCAGGATGCTGTCTCCCGGACTCAACGTCGGGGCAGGACTGGCAG GGGGAAGCCAGGCATCTACAGATTTGTGGCACCGGGGGAGCGCCCCTCGGGCATGTTCGA CTCGTCCGTCCTCTGTGAGTGCTATGACGCGGGCTGTGCTTGGTATGAGCTCACGCCCGC CGAGACTACAGTTAGGCTACGAGCGTACATGAACACCCCGGGGCTTCCCGTGTGCCAGGA CCATCTTGAATTTTGGGAGGGCGTTTTTACGGGCCTCACTCATATAGATGCCCACTTTCT ATCCCAGACAAAGCAGAGTGGGGAGAACTTTCCTTACCTGGTAGCGTACCAAGCCACCGT GTGCGCTAGGGCTCAAGCCCCGCCCCCATCGTGGGACCAGATGTGGAAGTGTTTGATCCG TCTCAAGCCCACCCTCCATGGGCCAACACCCCTGCTATACAGACTGGGCGCTGTTCAGAA TGAAGTTACCCTGACGCACCCAATCACCAAATACATCATGACATGCATGTCGGCTGACCT GGAGGTCGTCACGAGCACCTGGGTGCTCGTTGGCGGCGTCCTGGCTGCTTTGGCCGCGTA TTGCCTGTCAACAGGCTGCGTGGTCATAGTGGGCAGGATTGTCTTGTCCGGGAAGCCGGC AGTTATACCTGACAGGGAGGTTCTCTACCGGGAGTTCGATGAGATGGAAGAGTGCTCTCA GCACTTACCGTACATCGAGCAAGGGATGATGCTCGCCGAGCAGTTCAAGCAGAAGGCCCT CGGCCTCCTGCAGACCGCGTCCCGCCAGGCAGAGGTTATCGCCCCTGCTGTCCAGACCAA CTGGCAGAAACTCGAGGCCTTCTGGGCGAAGCATATGTGGAATTTCATCAGTGGGATACA ATACTTGGCGGGCCTGTCAACGCTGCCTGGTAACCCCGCCATTGCTTCATTGATGGCTTT TACAGCTGCTGTCACCAGCCCACTAACCACTAGCCAAACCCTCCTCTTCAACATATTGGG GGGGTGGGTGGCTGCCCAGCTCGCTGCCCCCGGTGCCGCTACCGCCTTTGTGGGCGCTGG CTTAGCCGGCGCCGCCATCGGCAGTGTTGGGCTGGGGAAGGTCCTCGTGGACATTCTTGC AGGATATGGCGCGGGCGTGGCGGGAGCTCTTGTAGCATTCAAGATCATGAGCGGTGAGGT CCCCTCCACGGAGGACCTGGTCAATCTGCTGCCCGCCATCCTCTCGCCTGGAGCCCTTGT AGTCGGTGTGGTCTGCGCAGCAATACTGCGCCGGCACGTTGGCCCGGGCGAGGGGGCAGT GCAATGGATGAACCGGCTAATAGCCTTCGCCTCCCGGGGGAACCATGTTTCCCCCACGCA CTACGTGCCGGAGAGCGATGCAGCCGCCCGCGTCACGGCCATACTCAGCAGCCTCACTGT AACCCAGCTCCTGAGGCGACTGCACCAGTGGATAAGCTCGGAGTGTACCACTCCATGCTC CGGTTCCTGGCTAAGAGACATCTGGGACTGGATATGCGAGGTGCTGAGCGACTTTAAGAC CTGGCTGAAAGCCAAGCTCATGCCACAACTGCCTGGGATTCCCTTTGTGTCCTGCCAGCG CGGGTATAGGGGGGTCTGGCGGGGAGACGGCATCATGCACACTCGCTGCCACTGTGGAGC TGAGATCACTGGACATGTCAAAAACGGGACGATGAGGATCGTCGGTCCTAGGACCTGCAG GAACATGTGGAGTGGGACCTTCCCCATTAACGCCTACACCACGGGCCCCTGTACCCCCCT TCCTGCGCCGAACTATAAGTTCGCGCTGTGGAGGGTGTCTGCAGAGGAATACGTGGAGAT AAGGCAGGTGGGGGACTTCCACTACGTAACGGGCATGACTACTGACAATCTTAAATGCCC GTGCCAGGTCCCATCGCCCGAATTCTTCACAGAATTGGACGGGGTGCGCCTACATAGGTA TGCGCCCCCTTGCAAGCCCTTGCTGCGGGAGGAGGTATCATTCAGAGTAGGACTCCACGA GTACCCGGTGGGGTCGCAACTACCTTGCGAGCCCGAACCGGACGTGGCCGTGTTGACGTC CATGCTCACTGATCCCTCCCACATAACAGCGGAGGCGGCCGGGAGAAGGTTGGCGAGGGG ATCACCCCCTTCTGTGGCCAGCTCCTCGGCTAGCCAGTTGTCCGCTCCATCTCTCAAGGC AACTTGCACCGCCAACCATGACTCCCCTGACGCCGAGCTCATAGAGGCTAATCTCCTGTG GAGGCAGGAGATGGGCGGCAACATCACCAGGGTTGAGTCAGAGAACAAAGTGGTGATTCT GGACTCCTTCGATCCGCTTGTATCAGAGGAGGATGAGCGGGAGATCTCCGTACCCGCAGA AATCCTGCGGAAGTCTCGGAGATTCGCCCCGGCCCTGCCCATTTGGGCGCGGCCGGACTA CAACCCCCCGCTGGTAGAGACGTGGAAAAAACCTGACTACGAACCACCCGTGGTCCATGG CTGCCCGCTACCACCTCCACAGTCCCCTCCTGTGCCTCCGCCTCGGAAGAAGCGAACGGT GGTCCTCACCGAATCAACCCTATCTACTGCCTTGGCTGAGCTTGCCACCAAAAGTTTTGG CAGCTCCTCAACTTCCGGCATTACGGGCGACAATACGACAACATCCTCTGAGCCCGCCCC TTCTGGCTGCTCCCCCGACTCCGACGTTGAGTCCTATTCTTCCATGCCCCCCCTGGAGGG GGAGCCTGGAGATCCGGATCTCAGCGACGGGTCATGGTCGACGGTCAGTAGCGGGGCCGA CGCGGAGGATGTCGTGTGCTGCTCAATGTCCTATACCTGGACAGGCGCACTCGTCACCCC GTGCGCTGCGGAAGAACAAAAACTGCCCATCAACGCACTGAGCAACTCGTTGCTACGTCA TCACAATCTGGTGTATTCCACCACTTCACGCAGTGCTTGCCAAAGGCAGAAGAAAGTCAC ATTTGACAGACTGCAAGTTCTGGACAGCCATTACCAGGACGTGCTCAAGGAGGTTAAGGC AGCGGCGTCAAAAGTGAAGGCTAACTTGCTATCCGTAGAGGAAGCTTGCAGCCTGACGCC CCCACACTCAGCCAAATCCAAGTTTGGTTATGGGGCGAAAGACGTCCGTTGCCATGCCAG AAAGGCCGTAGCCCACATCAACTCCGTGTGGAAAGACCTTCTGGAAGACAGTGTAACACC AATAGACACTACCATCATGGCTAAGAACGAGGTTTTCTGTGTTCAGCCTGAGAAGGGGGG TCGTAAGCCAGCTCGTCTCATCGTGTTCCCCGACCTGGGCGTGCGCGTGTGCGAGAAGAT GGCCCTGTACGATGTGGTTAGCAAGCTCCCCCTGGCCGTGATGGGAAGCTCCTACGGATT CCAATACTCACCAGGACAGCGGGTTGAATTCCTCGTGAAAGCGTGGAAGTCCAAGAAGAC CCCAATGGGGTTCTCATATGATACCCGCTGTTTTGACTCCACAGTCACTGAGAGCGACAT CCGTACGGAGGAGGCAATTTACCAATGTTGTGACCTGGACCCCCAAGCCCGCGTGGCCAT CAAGTCCCTCACTGAGAGGCTTTACGTTGGGGGCCCTCTTACCAATTCAAGGGGGGAGAA CTGCGGCTACCGCAGGTGCCGCGCGAGCGGCGTACTGACAACTAGCTGTGGTAACACCCT CACTTGCTACATCAAGGCCCAAGCAGCCTGTCGAGCCGCAGGGCTCCAGGACTGCACCAT GCTCGTGTGTGGCGACGACTTAGTCGTTATCTGTGAAAGTGCGGGGGTCCAGGAGGACGC GGCGAGCCTGAGAGCCTTCACGGAGGCTATGACCAGGTACTCCGCCCCCCCCGGGGACCC CCCACAACCAGAATACGACTTGGAGCTCATAACATCATGCTCCTCCAACGTGTCAGTCGC CCACGACGGCGCTGGAAAGAGGGTCTACTACCTCACCCGTGACCCTACAACCCCCCTCGC GAGAGCCGCGTGGGAGACAGCAAGACACACTCCAGTCAATTCCTGGCTAGGCAACATAAT CATGTTTGCCCCCACACTGTGGGCGAGGATGATATTGATGACCCACTTCTTTAGCGTCCT CATAGCCAGGGACCAGCTTGAACAGGCCCTTGATTGCGAGATCTACGGAGCCTGCTACTC CATAGAACCACTGGACCTACCTCCAATCATTCAAAGACTCCATGGCCTCAGCGCATTTTC ACTCCACAGTTACTCTCCAGGTGAGATCAATAGGGTGGCCGCATGCCTCAGAAAACTTGG GGTCCCGCCCTTGCGAGCTTGGAGACACCGGGCCCGGAGCGTCCGCGCTAGGCTTCTGTC CAGAGGAGGCAGGGCTGCCATATGTGGCAAGTACCTCTTCAACTGGGCAGTAAGAACAAA GCTCAAACTCACTCCAATAGCGGCCGCTGGCCGGCTGGACTTGTCCGGCTGGTTCACGGC TGGCTACAGCGGGGGAGACATTTATCACAGCGTGTCTCATGCCCGGCCCCGCTGGTTCTG GTTTTGCCTACTCCTGCTCGCTGCAGGGGTAGGCATCTACCTCCTCCCCAACCGATGA >gi|612340474|gb|KJ207374.1| Tomato mosaic virus isolate Penghu, complete genome GTATTTTTACAACAATTACCAACAACAACAACAAACAACAACAACATTACATTTTACATT CTACAACTACAATGGCATACACACAAACAGCCACATCGTCCGCTTTGCTTGAGACCGTCC GAGGTAACAATACCTTGGTCAACGATCTTGCAAAGCGGCGTCTATATGACACAGCGGTCG ATGAATTTAATGCTAGGGACCGCAGGCCTAAAGTCAATTTTTCCAAAGTAGTAAGCGAAG AACAGACGCTTATTGCAACCAAAGCCTACCCAGAATTCCAAATTACATTCTACAACACGC AGAACGCTGTGCATTCCCTTGCAGGCGGTCTCCGATCATTAGAATTGGAATATCTGATGA TGCAAATTCCCTACGGATCATTGACATATGATATCGGAGGTAATTTTGCATCTCATCTGT TCAAAGGGCGAGCATACGTTCACTGCTGTATGCCGAATCTGGATGTCCGCGACATAATGC GGCACGAGGGCCAAAAGGACAGTATTGAACTATACCTTTCTAGGCTCGAAAGGGGCAACA AACATGTCCCAAACTTCCAAAAGGAAGCTTTCGACAGATACGCTGAAATGCCAAACGAAG TAGTCTGTCACGATACTTTCCAAACGTGTAGGCATTCTCAAGAATGTTACACGGGAAGAG TGTATGCTATTGCTTTGCATAGTATATACGATATACCTGCCGACGAGTTCGGCGCGGCAC TGCTGAGAAAGAATGTACATGTATGTTATGCCGCTTTCCACTTTTCCGAGAATTTACTTC TCGAAGATTCACACGTCAACCTCGATGAGATCAATGCATGTTTCCAAAGAGATGGAGACA GGTTGACCTTTTCCTTTGCATCTGAGAGTACTCTTAATTATAGTCATAGTTATTCTAATA TTCTTAAGTATGTTTGCAAAACTTACTTCCCAGCCTCTAATAGAGAGGTTTACATGAAGG AGTTTTTAGTAACTAGAGTTAATACCTGGTTTTGTAAATTTTCTAGAATAGATACTTTCT TATTGTACAAAGGTGTAGCGCATAAGGGTGTAGATAGTGAGCAGTTTTACAAGGCTATGG AAGACGCATGGCACTACAAAAAGACTCTTGCGATGTGCAACAGTGAAAGAATCTTGTTAG AGGATTCTTCATCAGTTAATTACTGGTTTCCAAAAATGAGGGATATGGTGATAGTTCCAC TATTTGACATATCTCTCGAGACTAGTAAAAGAACACGCAAAGAGGTCTTAGTTTCAAAGG ACTTTGTTTATACAGTGTTAAATCACATTCGTACGTACCAGGCAAAAGCGCTTACTTACT CCAACGTGTTATCTTTCGTCGAATCAATTCGTTCGAGAGTGATCATTAACGGGGTTACTG CTAGGTCTGAGTGGGATGTCGATAAATCATTATTACAGTCCTTGTCGATGACGTTCTTCC TACATACCAAGCTTGCCGTTCTGAAAGACGATCTTTTGATTAGCAAGTTTGCACTTGGTC CAAAAACTGTCTCACAACATGTGTGGGATGAGATTTCCCTAGCTTTCGGCAATGCTTTCC CATCGATCAAGGAAAGATTGATAAACCGGAAACTGATCAAAATTACGGAGAATGCGTTAG AGATCAGGGTGCCCGATCTTTATGTCACTTTCCATGATAGGTTAGTTTCTGAGTACAAAA TGTCAGTGGACATGCCGGTGCTAGACATTAGGAAAAAGATGGAAGAAACTGAGGAAATGT ACAATGCACTGTCCGAACTGTCTGTACTTAAAAATTCAGACAAATTCGATGTTGATGTTT TTTCCCAGATGTGCCAATCTTTAGAAGTTGATCCAATGACTGCAGCAAAGGTAATAGTAG CAGTTATGAGCAACGAGAGTGGTCTTACTCTCACGTTTGAACAGCCCACCGAAGCTAATG TTGCGCTAGCATTGAAAGATTCTGAAAAGGCTTCTGATGGGGCGTTGGTAGTTACCTCAA GAGATGTTGAAGAACCGTCCATAAAGGGTTCGATGGCCCGTGGTGAGTTACAATTGGCCG GATTATCTGGCGACGTTCCTGAATCTTCATACACTAGGAGCGAGGAAATTGAGTCTCTCG AGCAGTTTCATATGGCAACAGCTAGTTCGTTAATTCACAAGCAGATGTGTTCGATCGTGT ACACGGGCCCTCTTAAAGTTCAACAAATGAAAAACTTTATAGACAGCCTGGTAGCCTCGC TCTCTGCTGCGGTGTCGAATCTAGTGAAGATCCTAAAAGATACAGCTGCGATTGACCTTG AAACTCGTCAAAAGTTCGGAGTTCTGGATGTTGCTTCGAAAAGGTGGCTAGTTAAACCAT CCGCAAAGAACCATGCATGGGGGGTTGTTGAGACTCATGCGAGGAAATATCACGTCGCAT TACTGGAGCACGATGAATTTGGCATTATTACGTGCGATAACTGGCGACGGGTGGCTGTGA GTTCTGAGTCGGTAGTATATTCTGATATGGCTAAACTCAGAACTCTGAGAAGATTGCTCA AAGATGGAGAACCACACGTTAGTTCAGCAAAGGTGGTTTTGGTGGATGGCGTTCCAGGGT GCGGGAAAACAAAGGAAATTCTTTCGAGAGTTAATTTCGAAGAAGATCTAATTCTTGTCC CTGGTCGTCAAGCTGCCGAGATGATCAGAAGAAGAGCTAATGCGTCGGGCATAATAGTGG CTACAAAGGACAATGTGCGTACCGTCGATTCATTTTTGATGAATTACGGGAAAGGGGCAC GCTGTCAGTTCAAAAGATTGTTCATAGACGAAGGTTTGATGCTGCATACTGGTTGTGTGA ATTTCTTGGTTGAAATGTCTCTGTGCGATATTGCATATGTTTATGGAGACACCCAACAAA TTCCGTACATCAACAGAGTAACTGGTTTCCCGTACCCTGCACACTTTGCAAAATTGGAGG TCGACGAAGTCGAAACAAGAAGAATTACTCTTCGTTGTCCGGCTGATGTCACACACTTCC TAAATCAAAGGTATGAAGGACACGTAATGTGCACGTCTTCTGAAAAGAAATCAGTTTCCC AGGAAATGGTTAGTGGGGCTGCGTCTATCAATCCTGTGTCCAAGCCGCTTAAAGGGAAAA TTTTGACTTTTACACAGTCTGACAAGGAGGCCCTTCTCTCAAGGGGCTATGCAGATGTCC ATACTGTACATGAGGTACAAGGTGAGACTTATGCAGACGTATCGTTAGTTCGACTAACAC CTACGCCTGTATCTATCATCGCAAGAGACAGTCCGCATGTTCTGGTCTCGTTGTCAAGAC ACACAAAATCCCTAAAGTACTACACCGTTGTGATGGATCCTTTAGTTAGTATCATTAGAG ATTTAGAACAGGTTAGTAGTTACTTATTAGACATGTACAAAGTAGATGCAGGTACTCAAT AGCAATTACAGGTCGACTCTGTGTTTAAGAATTTCAATCTTTTTGTAGCAGCTCCAAAGA CTGGAGATATATCTGATATGCAATTTTACTATGATAAGTGTCTTCCTGGGAACAGCACGT TGTTGAACAACTACGACGCTGTTACCATGAAATTGACTGACATTTCTCTGAATGTCAAAG ATTGCATATTAGATATGTCTAAGTCTGTAGCTGCTCCGAAAGATGTCAAACCAACTTTAA TACCGATGGTACGAACGGCGGCAGAAATGCCTCGCCAGACTGGACTGTTGGAAAATTTAG TTGCGATGATTAAAAGAAATTTTAATTCACCAGAGTTGTCCGGAGTAGTTGATATTGAAA ATACTGCATCTTTAGTGGTAGATAAGTTTTTTGATAGTTATTTACTTAAGGAAAAAAGAA AACCAAACAAAAATTTTTCACTGTTTAGTAGAGAGTCTCTCAATAGGTGGATAGCAAAGC AAGAACAAGTCACAATTGGTCAGTTGGCCGATTTTGATTTTGTGGATCTTCCAGCCGTTG ATCAGTACAGGCATATGATAAAAGCGCAACCGAAGCAGAAACTGGATCTGTCAATTCAGA CGGAATATCCAGCGTTGCAAACGATTGTGTATCATTCAAAGAAAATCAACGCAATATTTG GTCCTCTTTTCAGTGAGCTTACAAGGCAATTACTTGACAGTATTGACTCAAGCAGATTCT TGTTCTTTACGAGAAAGACACCGGCTCAGATCGAAGATTTCTTCGGAGATCTAGACAGTC ATGTCCCAATGGACGTACTTGAGTTGGATATTTCAAAGTATGATAAGTCTCAAAACGAGT TTCATTGTGCTGTTGAGTACGAAATCTGGAGGAGACTGGGTCTGGAGGATTTCTTGGCAG AAGTGTGGAAACAAGGGCATAGAAAAACCACTCTGAAAGATTACACTGCTGGTATAAAAA CGTGTTTATGGTACCAGAGAAAGAGTGGTGATGTTACAACTTTTATCGGTAATACCGTCA TCATTGCTTCGTGTCTTGCATCAATGCTCCCGATGGAAAAATTGATAAAAGGAGCCTTCT GCGGAGATGACAGTTTGTTGTACTTTCCTAGAGGTTGTGAGTATCCCGATATACAACAAG CTGCTAATCTGATGTGGAATTTTGAGGCCAAACTGTTCAAGAAGCAATATGGGTACTTCT GCGGGAGGTACGTGATTCATCACGATAGAGGTTGCATAGTATACTACGACCCTCTGAAGC TGATTTCGAAACTTGGTGCTAAACACATCAAGGATTGGGATCATTTGGAGGAGTTCAGAA GATCCCTCTGTGATGTTGCTGAGTCGTTGAACAATTGTGCGTATTACACACAATTGGACG ACGCTGTTGGGGAGGTTCATAAAACCGCCCCACCTGGTTCGTTTGTTTATAGGAGTTTAG TTAAGTATTTGTCAGATAAAGTTTTGTTTAGAAGTTTATTTCTTGATGGCTCTAGTTGTT AAAGGTAAGGTAAATATTAATGAGTTTATCGATCTGTCAAAGTCTGAGAAACTTCTCCCG TCGATGTTCACGCCTGTAAAGAGTGTTATGGTTTCAAAGGTTGATAAGATTATGGTCCAT GAAAATGAATCATTGTCTGAAGTAAATCTCTTAAAAGGTGTAAAACTTATAGAAGGTGGG TATGTTTGCTTAGTTGGTCTTGTTGTGTCCGGTGAGTGGAATTTACCAGATAATTGCCGT GGTGGTGTGAGTGTCTGCATGGTTGACAAGAGAATGGAAAGAGCGGACGAAGCCACACTG GGGTCATATTACACTGCTGCTGCTAAAAAGCGGTTTCAGTTTAAAGTGGTCCCAAATTAC GGTATTACTACAAAGGATGCAGAAAAGAACATATGGCAGGTCTTAGTAAATATTAAAAAT GTAAAAATGAGTGCGGGCTACTGCCCTTTGTCATTAGAATTTGTGTCTGTGTGTATTGTT TATAAAAATAATATAAAATTGGGTTTGAGGGAGAAAGTAACGAGTGTGAACGATGGAGGA CCCATGGAACTTTCAGAAGAAGTTGTTGATGAGTTCATGGAGAATGTTCCAATGTCGGTT AGACTCGCAAAGTTTCGAACCAAAACCTCAAAAAGAGGTCCGAAAAATAATAATAATTTA GGTAAGGGGCGTTCAGGCGGAAGGCCTAAACCAAAAAGTTTTGATGAAGTTGAAAAAGAG TTTGATAATTTGATTGAAGATGAAGCCGAGACGTCGGTCGCGGATTCTGATTCGTATTAA ATATGTCTTACTCAATCACTTCTCCATCGCAATTTGTGTTTTTGTCATCTGTATGGGCTG ACCCTATAGAATTGTTAAACGTTTGTACAAATTCGTTAGGTAACCAGTTTCAAACACAGC AAGCAAGAACTACTGTTCAACAGCAGTTCAGCGAGGTGTGGAAACCTTTCCCTCAGAGCA CCGTCAGATTTCCTGGCGATGTTTATAAGGTGTACAGGTACAATGCAGTTTTAGATCCTC TAATTACTGCGTTGCTGGGGGCCTTCGATACTAAGAATAGAATAATCGAAGTAGAAAACC AGCAGAGTCCGACAACAGCTGAAACGTTAGATGCTACCCGCAGGGTAGACGACGCTACGG TTGCAATCCGGTCTGCTATAAATAATTTAGTTAATGAACTAGTAAAAGGTACTGGACTGT ACAATCAGAATACTTTTGAAAGTATGTCTGGGTTGGTCTGGACCTCTGCACCTGCATCTT AAATGCATAGGTGCTGAAATATAAAGTTTGTGTTTCTAAAACACACGTGGTACGTACGAT AACGTACAGTGTTTTTCCCTCCACTTAAATCGAAGGGTAGTGTCTTGGAGCGCGCGGAGT AAACATATATGGTGCATATATGTCCGTAGGCACGTAAAAAAGCGAGGGATTCGAATTCCC CCGGAGCACCACTGGTGGTGGCCCA >gi|27085398|gb|AY184220.1| Human poliovirus 2 strain Sabin 2, complete genome TTAAAACAGCTCTGGGGTTGTACCCACCCCAGAGGCCCACGTGGCGGCTAGCACTCCGGT ATTACGGTACCCTTGTGCGCCTGTTTTATACTCCCCTCCCGCAACTTAGAAGCACGAAAC CAAGTTCAATAGAAGGGGGTACAAACCAGTACCACTACGAACAAGCACTTCTGTTTCCCC GGTGACATTGCATAGACTGCTCACGCGGTTGAAAGTGATCGATCCGTTACCCGCTTGTGT ACTTCGAAAAGCCTAGTATCGCCTTGGAATCTTCGACGCGTTGCGCTCAGCACCCGACCC CGGGGTGTAGCTTAGGCTGATGAGTCTGGACATTCCTCACCGGTGACGGTGGTCCAGGCT GCGTTGGCGGCCTACCTATGGCTAACGCCATAGGACGTTAGATGTGAACAAGGTGTGAAG AGCCTATTGAGCTACATAAGAGTCCTCCGGCCCCTGAATGCGGCTAATCCTAACCACGGA ACAGGCGGTCGCGAACCAGTGACTGGCTTGTCGTAACGCGCAAGTCTGTGGCGGAACCGA CTACTTTGGGTGTCCGTGTTTCCTGTTATTTTTATCATGGCTGCTTATGGTGACAATCAG AGATTGTTATCATAAAGCGAATTGGATTGGCCATCCGGTGAGTGTTGTGTCAGGTATACA ACTGTTTGTTGGAACCACTGTGTTAGCTTTACTTCTCATTTAACCAATTAATCAAAAACA ATACGAGGATAAAACAACAATACTACAATGGGCGCCCAAGTTTCATCACAGAAAGTTGGA GCCCACGAAAATTCAAACAGAGCCTATGGCGGGTCCACCATCAATTACACTACAATCAAT TACTATAGGGACTCTGCAAGCAATGCAGCAAGCAAGCAAGATTTTGCACAAGATCCGTCC AAGTTCACCGAACCCATTAAGGACGTCCTTATTAAGACCGCTCCCATGCTAAACTCCCCA AACATTGAGGCGTGTGGTTATAGTGACAGGGTAATGCAGCTAACTCTGGGCAATTCAACG ATCACCACCCAAGAAGCGGCCAATTCTGTTGTTGCCTACGGTAGATGGCCTGAATACATC AGAGATACCGAGGCAAATCCTGTAGACCAACCAACCGAGCCCGATGTAGCCGCGTGCAGG TTCTACACATTAGATACCGTCACTTGGCGCAAGGAGTCCAGAGGGTGGTGGTGGAAACTA CCAGACGCTTTAAAAGACATGGGGTTATTTGGTCAAAACATGTTTTATCACTATCTTGGG AGGGCTGGCTACACAGTGCACGTACAGTGCAATGCTTCAAAGTTTCATCAAGGAGCTCTA GGGGTGTTTGCAGTTCCAGAAATGTGTTTAGCTGGTGATAGCACAACTCACATGTTCACA AAGTACGAGAATGCGAATCCAGGCGAAAAAGGAGGTGAATTCAAAGGGAGTTTCACCCTT GATACCAACGCCACTAACCCTGCACGGAACTTCTGCCCAGTTGATTACCTCTTCGGGAGT GGAGTGCTGGTAGGGAATGCATTTGTTTATCCACATCAAATAATAAACCTGCGCACTAAC AACTGTGCTACGCTAGTATTGCCCTATGTAAACTCACTCTCAATAGATAGCATGACAAAG CACAACAACTGGGGGATCGCTATCCTCCCCCTGGCGCCACTAGACTTTGCCACTGAATCT TCCACTGAGATACCCATTACACTGACCATTGCTCCCATGTGCTGCGAATTCAATGGTTTA CGCAACATCACTGTGCCAAGAACCCAAGGATTACCAGTCCTGAACACTCCAGGGAGTAAC CAGTACCTGACCGCAGACAATTACCAGTCTCCGTGTGCGATACCTGAGTTTGATGTCACT CCACCCATAGACATACCAGGGGAGGTGCGCAACATGATGGAATTGGCGGAAATAGACACC ATGATACCCCTCAACTTGACAAGTCAACGCAAGAACACAATGGACATGTATAGAGTCGAG TTGAGCGACACGGCTCACTCTGACACGCCGATCTTGTGTCTCTCGTTGTCCCCCGCTTCA GACCCCAGATTGGCACACACTATGTTGGGTGAGATATTAAATTACTACACACACTGGGCA GGGTCCTTGAAATTTACCTTTCTCTTTTGCGGCTCAATGATGGCCACCGGAAAGTTATTG GTTTCTTACGCACCACCCGGAGCAGAGGCCCCCAAGAGTCGCAAAGAAGCAATGCTTGGG ACACATGTGATATGGGACATTGGGTTGCAGTCTTCATGCACTATGGTGGTACCTTGGATC AGTAATACCACATACAGACAAACCATCAACGATAGTTTCACAGAAGGTGGCTACATTAGC ATGTTCTATCAAACTAGGGTTGTTGTCCCGTTGTCCACACCCAGAAAGATGGACATCCTG GGTTTTGTGTCAGCTTGCAATGACTTCAGTGTGCGCTTACTGCGAGATACAACACACATT AGTCAAGAGGCTATGCCACAAGGAATTGGTGACATGATTGAGGGGGCCGTTGAAGGGATT ACTAAAAATGCATTGGTTCCCCCGACTTCCACCAATAGCCTGCCTGACACAAAGCCGAGC GGTCCAGCCCACTCCAAGGAGATACCTGCATTGACAGCCGTGGAGACAGGGGCTACCAAT CCGTTGGTGCCTTCGGACACCGTGCAAACGCGCCATGTCATCCAGAGACGAACGCGATCA GAGTCCACGGTTGAGTCATTCTTTGCAAGAGGGGCTTGCGTGGCTATCATTGAGGTGGAC AATGATGCACCGACAAAGCGCGCCAGCAGATTGTTTTCGGTTTGGAAAATAACTTACAAA GATACTGTTCAACTGAGACGCAAACTGGAATTTTTCACATATTCGAGATTTGACATGGAG TTCACTTTTGTGGTCACCTCAAACTACATTGATGCAAATAACGGACATGCATTGAACCAA GTTTATCAGATAATGTATATACCACCCGGAGCACCTATCCCTGGTAAATGGAATGACTAT ACGTGGCAGACGTCCTCTAACCCGTCGGTGTTTTACACCTATGGGGCGCCCCCAGCAAGA ATATCAGTGCCCTACGTGGGAATTGCTAATGCGTATTCCCACTTTTATGATGGGTTTGCA AAAGTACCACTAGCGGGTCAAGCCTCAACTGAAGGCGATTCGTTGTACGGTGCTGCCTCA CTGAATGATTTTGGATCACTGGCTGTTCGCGTGGTAAATGATCACAACCCCACGCGGCTC ACCTCCAAGATCAGAGTGTACATGAAGCCAAAGCATGTCAGAGTCTGGTGCCCACGACCT CCACGAGCAGTCCCATACTTCGGACCAGGTGTTGATTATAAAGATGGGCTCACCCCACTA CCAGAAAAGGGATTAACGACTTATGGATTTGGACACCAAAACAAAGCTGTGTACACAGCT GGCTACAAAATTTGCAATTACCACCTAGCTACACAAGAAGACTTGCAAAATGCCGTGAGT GTCATGTGGAACAGAGACCTCTTAGTGGCTGAATCAAGGGCCCTTGGCACCGACTCGATC GCAAGGTGCAGCTGTAACACGGGTGTGTACTACTGTGAATCCAGGAGAAAATATTATCCA GTTTCTTTCATTGGGCCCACCTTCCAATACATGGAAGCCAATGAATATTACCCGGCTAGA TATCAATCACACATGCTTATTGGTCATGGGTTTGCATCACCGGGTGATTGTGGTGGCATA CTTAGATGTCAACACGGGGTGATAGGAATAATCACTGCTGGTGGGGAAGGCTTGGTTGCA TTTTCAGACATTAGAGACCTGTATGCTTATGAGGAGGAAGCTATGGAGCAGGGCATTTCC AACTATATTGAGTCACTTGGTGCTGCATTTGGTAGTGGATTCACTCAACAAATTGGTGAT AAAGTTTCCGAGCTAACCAGCATGGTAACTAGCACCATTACAGAGAAGTTGCTTAAAAAC TTAATCAAAATTATCTCATCACTTGTGATCATTACCAGGAATTATGAGGACACTACCACA GTGCTTGCCACCCTCGCCCTCCTTGGGTGCGACATCTCACCGTGGCAGTGGCTAAAGAAG AAGGCATGTGACATCCTGGAAATTCCATACGCCATCAAACAAGGAGATAGTTGGTTGAAG AAATTCACTGAGGCATGTAATGCTGCAAAGGGACTGGAGTGGGTGTCCAATAAGATATCC AAATTCATTAGTTGGTTGCAGGATAAAATCATCCCACAAGCGAGAGACAAATTAGAGTTT GTCACTAAACTAAAGCAATTAGAAATGCTTGAAAATCAGATTTCCACCATACACCAATCT TGTCCAAGTCAAGAACATCAGGAGATCTTATTCAACAATGTGCGGTGGCTATCTATCCAG TCCAAGAGGTTTGCACCACTATATGCACATGAAGCTAAAAGGATTCAAAAGCTGGAGCAT ACCATAAATAATTACGTACAGTTCAAGAGCAAGCACCGTATTGAGCCAGTATGTTTGTTA GTACATGGCAGTCCAGGGACAGGAAAATCAGTTGCAACCAATCTAATTGCTAGAGCAATA GCCGAGAAAGAGAACACCTCCACATACTCACTGCCACCTGATCCGTCTCACTTTGATGGC TACAAGCAACAGGGTGTGGTTATTATGGATGACCTAAACCAAAATCCAGACGGAGCAGAC ATGAAACTTTTTTGTCAAATGGTGTCCACTGTGGAGTTTATTCCACCGATGGCCTCGCTA GAAGAGAAAGGCATTTTGTTCACATCTAATTACGTTTTAGCCTCCACCAACTCCAGTCGG ATCACACCACCCACGGTGGCTCACAGTGATGCGCTGGCCAGGAGATTCGCATTTGACGTG GACATACAAGTCATGAGCGAGTACTCCAGAGACGGAAAGCTCAACATGGCAATGGCTACT GAAATGTGCAAAAACTGTCATCAACCAGCAAACTTCAAAAGATGTTGTCCTTTAGTGTGT GGCAAGGCAATTCAGTTAATGGATAAATCTTCCAGGGTTAGATACAGCATTGATCAGATC ACTACAATGATTGTTAATGAGAGAAACAGAAGATCAAACATTGGTAATTGCATGGAAGCT CTATTCCAGGGACCACTGCAGTATAAAGATCTAAAAATAGATGTTAAGACCAGTCCCCCT CCGGAGTGTATCAACGATTTGCTCCAGGCAGTTGATTCCCAGGAAGTGAGAGATTACTGT GAAAAGAAAGGCTGGATTGTTAACATTACCAGTCAGGTTCAAACAGAGAGGAACATCAAC CGGGCGATGACTATCCTACAAGCAGTAACTACTTTCGCTGCAGTAGCCGGTGTCGTGTAC GTTATGTACAAGCTGTTCGCTGGGCACCAGGGTGCATACACTGGTTTGCCAAATAAACGA CCCAATGTACCCACTATCAGGACAGCAAAAGTGCAAGGCCCTGGGTTTGATTACGCAGTG GCCATGGCTAAAAGAAACATTGTTACAGCAACCACCAGCAAAGGGGAGTTTACGATGTTG GGAGTCTATGATAATGTGGCCATCTTGCCAACCCACGCCTCACCTGGTGAAAGCATTGCG ATCGACGGTAAAGAGGTGGAAATTCTTGACGCCAAAGCCCTTGAAGATCAGGCAGGAACT AATCTTGAAATTACCATAATTACACTAAAGAGGAACGAGAAGTTCAGAGATATCAGGCCA CACATTCCCACCCAAATCACCGAAACAAATGATGGAGTTTTGATCGTGAACACTAGTAAG TACCCCAACATGTATGTTCCCGTTGGTGCTGTGACCGAACAGGGGTATCTTAATCTCGGT GGACGACAAACCGCTCGTACGCTAATGTACAACTTTCCAACTAGAGCAGGTCAGTGTGGT GGTGTCATCACGTGCACTGGTAAAGTCATTGGGATGCATGTTGGTGGGAACGGTTCACAT GGGTTCGCGGCGGCCCTAAAGCGGTCATACTTCACTCAGATTCAAGGTGAGATTCAATGG ATGAAACCATCAAAAGAAGTGGGATACCCGATCATAAATGCTCCGTCCAAAACCAAACTT GAACCCAGCGCTTTTCACTATGTGTTTGAAGGGGTGAAGGAACCAGCAGTCCTTACCAAA AATGATCCCAGGCTCAGGACAGACTTTGAAGAAGCAATATTCTCTAAGTATGTAGGCAAC AAGATCACTGATGTGGATGAGTACATGAAAGAGGCAGTGGATCATTACGCTGGCCAACTC ATGTCTCTAGACATCAACACAGAACAAATGTGCTTGGAGGACGCCATGTACGGCACCGAT GGCCTGGAAGCACTTGACTTGACCACTAGTGCTGGATACCCTTATGTAGCAATGGGAAAG AAAAAGAGAGACATCTTGAATAAGCAGACTAGAGACACCAAGGAAATGCGGAGACTCTTA GATACTTATGGAATTAACTTACCGCTTGTAACATATGTTAAAGATGAACTAAGGTCAAAA ACTAAGGTGGAGCAGGGAAAATCCAGATTGATTGAAGCCTCCAGTTTGAATGATTCAGTG GCCATGAGAATGGCATTTGGAAATCTCTATGCAGCATTTCACAAAAACCCAGGAGTTGTC ACTGGCAGTGCAGTTGGTTGTGATCCAGATCTATTTTGGAGCAAGATCCCAGTGCTAATG GAAGAGAAGCTCTTTGCTTTTGACTACACAGGTTATGATGCATCACTCAGCCCGGCCTGG TTTGAGGCACTCAAAATGGTGCTAGAGAAAATCGGATTTGGGGACAGGGTGGATTATATT GATTACCTCAACCATTCCCACCACCTGTACAAAAACAAAACTTATTGCGTAAAAGGCGGC ATGCCATCTGGCTGCTCAGGCACATCAATTTTTAACTCAATGATTAACAACTTAATCATT AGGACACTCCTACTGAAAACCTACAAGGGCATAGATTTAGATCACCTAAAGATGATTGCC TATGGTGATGATGTAATTGCTTCCTACCCCCATGAGGTTGATGCTAGTCTCCTAGCCCAA TCAGGAAAAGACTATGGACTAACCATGACTCCAGCAGACAAGTCAGCTACCTTTGAAACA GTCACATGGGAGAATGTAACATTCTTGAAAAGATTCTTTAGAGCGGATGAGAAGTATCCC TTCCTCATACATCCAGTAATGCCAATGAAGGAGATTCATGAATCAATTAGATGGACAAAG GATCCCAGAAACACACAGGATCACGTGCGCTCATTGTGCCTATTGGCCTGGCACAACGGC GAAGAAGAATACAACAAGTTCTTAGCTAAAATCAGGAGTGTGCCAATTGGGAGAGCTTTA TTGCTCCCAGAGTACTCTACATTGTACCGCCGTTGGCTCGACTCTTTTTAGTAACCCTAC CTCAGTCGAATTGGATTGGGTCATGCTGTTGTAGGGGTAAATTTTTCTTTAATTCGGGG >gi|743485545|gb|KM609478.1| Coxsackievirus A8 isolate CVA8/SZ141/CHN/2012, complete genome TTAAAACAGCCTGTGGGTTGCACCCACTCACAGGGCCCACTGGGCGCTAGCACTCTGATT CTACGGAATCTTTGTGCGCCTGTTTTATAACCCCCTCCCCCAATGTAATTTAGAAGCAAT GCACCAATGATCAACAGCAGGCGTGGCGCACCAGCCATGTCTCGATCAAGCACTTCTGTT TCCCCGGACAGAGTATCAATAGACTGCTCGCGTGGTCGAAGGAGAAAACGTCCGTTACCC GGCTAACTACTTCGAGAAACCTAGTAGCACCAATGAAGCTGCAGAGCGTTTCGCTCAGCA CTTACCCCGTGTAGATCAGGCCGATGAGTCACTGCGTTCCCCACGGGCGACCGTGGCAGT GGCTGCGTTGGCGGCCTGCCTATGGGGTCACCCATAGGACGCTCTAATGTGGACATGGTG CGAAGAGTCTATTGAGCTAGTTAGTAGTCCTCCGGCCCCTGAATGCGGCTAATCCTAACT GCGGAGCGCATACCCTCAAACCAGGGGGTGGTGCGTCGTAACGGGTAACTCTGCAGCGGA ACCGACTACTTTGGGTGTCCGTGTTTCCTTTTATTCTCTTAATGGCTGCTTATGGTGACA ATTGAGGAATTGTTACCATATAGCTATTGGATTGGCCATCCGGTGTGTAACAGAGCAATT ATCTACTTGTTTGCAGGATTTACCCCATTAACGTTCAAATCTCTTAACACACTACAGTAC ATACTAACCTTGAATACAAGAAAATGGGAGCACAAGTTTCGACTCAAAAGTCTGGTAGCC ACGAGACTGGCAACATAGCCACTGAAGGGTCCACCATTAACTTTACTAACATCAATTATT ACAAGGACTCGTACGCCGCCTCGGCTAGCAAACAGGACTTCACCCAGGATCCTACTAGGT TTACTAGCCCTGTGCTTGATGCGCTGAGGGAAGTGGCACCTCCATTAAAGTCACCCTCAG TGGAAGCGTGCGGATACAGTGATAGAGTAGCGCAGTTGACTGTCGGCAATTCAACAATCA CCACACAAGAGGCTGCTAACATAGTCCTTGCTTACGGGGAATGGCCTGAGTACTGTCCCG ACAAAGACGCCACCGCTGTAGATAAGCCTACACGCCCCGATGTGTCGGTTAATAGATTCT ACACCATGTCTACGCAAATGTGGCAGGACACCTCGAAAGGGTGGTACTGGAAGTTCCCAG ATGTTCTTACCAAGACTGGTGTCTTTGGACAAAATGCCCAGTATCACTATTTGTACAGAT CTGGATTTTGCATACATGTCCAATGCAACGCTAGTAAATTCCATCAAGGAGCACTGTTAG TGGCTGCCATCCCAGAGATGGTGTTAGGATCCAATAGCTCAGATCCCAAGCCCAACACTG CAAAGCACCCTGAATTCACTACAACAATGCCAGGTGCTAATGGTGGAATTTTTGAAAATC CCTATATCTTGGACATGGGGGTTCCCTTGAGCCAAGCTTTGGTGTTTCCACACCAATGGA TCAACCTGCGCACTAACAACTGTGCGACCATTATAGTGCCTTATATTAATGCTGTTCCAT TTGATTCAGCCATTAACCACAACAACTTCACGCTAGTCGTAATTCCGATTAGCCCGTTAA AATACTGCACAGGAGCGACAACAGCCATCCCTATAACAGTAACGATAGCCCCATTAAATT CTGAATTTTGTGGGTTGAGGCAAGCTACATCGCAGGGAATACCAGTGGAGCTAAAACCCG GCACCAATCAATTTTTGACAACTGATAACGAAGTCTCCGTACCAATCTTACCTGGTTTCC AGCCTACACCGGTTATACATATACCAGGGGAGGTGAACAACCTCCTGGAGCTCTGCCAGG TTGAATCTATCTTGGAGGTCAATAATGTGACTGGACAAGAAGGGATAAACCGACTCCTTA TCCCAGTTTCTACACAAAGTGACAAGGATACTTTGTGTGCATCACTCAGAGTCGATCCAG GTAGGGACGGACCGTGGCAATCTACTTTAGTTGGGCAAATATGTAGGTATTACACCCAGT GGTCTGGTTCATTAGAGATCACATTCATGTTTACTGGTTCATTCATGGCAACCGGTAAAA TGCTGATAGCTTACTCCCCGCCTGGGAGTGCGCAACCAACAACAAGAGACCTGGCAATGC TCGGCACGCACGTAGTGTGGGATTTTGGGTTGCAATCATCTATTACTCTTGTGATCCCAT GGATCAGCAACACACACTTCAGAACAGGCAAGGTGGGTGGTTACTTTGATTACTATGCGT CTGGTATAGTAACTATTTGGTATCAGACAAACTTCGTCGTGCCCCCCGACACGCCGAGTC AGGCTCATATAATAGCGTTGGGAGCTGCCCAGAAGAATTTCACGCTTAAACTGTGCAAGG ATACAGATGAGGTAACACAACAAGCAGTGTTGCAGGGGGACCCCATTGAAGACATAATAA CTAGCACAGTCTCCCGCACATTGCAGCAAATTAGCACTCCAACACATAGCACTACTGCAG CAAACACCTCTGTGAGTAACCATAAGATAGGCACTGGAGATGTTCCAGCTCTCCAAGCTG CGGAGACAGGTGCTACCTCTAACGCCTCGGATGAGAACATGATCGAGACACGCTGCGTGC TAAATCGCAATGGAGTCGTGGAAACCAGTCTGGACCACTTCTTCTCAAGAGCAGGTCTGG TGGGGGTGATCAATGTGCAAGATGGTAGTACACAGAAGGGATTTGAGGTGTGGGATGTGG ATGTGATGGGGTTTGTACAGCTCAGAAGGAAGTTGGAAATGTTTACATACATGAGATTCA ATGCTGAGTTTACATTTGTGTCCACACTTGCAGACGGCACGACTCCCAGGGTGATGTTAC AGTACATGTATGTTCCACCTGGTGCCCCCAAACCTCAAGAGAGGGATTCATTCCAATGGC AAACAGCGACCAACCCGTCAGTGTTCTGCAAAATGAGCGATCCTCCCCCACAAGTCTCTG TCCCTTTCATGTCGCCAGCCAGCGCGTACCAGTGGTTCTATGATGGATATCCTACATTTG ATGATCGACCTGCCACCTCAAATCACCCGTATGGACAGTGCCCTAATAACATGATGGGCA CATTTGCAGTGCGATTTGTCAGCAAGACCCCTGCTATACGGGACTTGCGTGTTAGGGTAT ATATGCGCCTCAAACACGTGCGCGCTTGGGTACCGAGGCCCATACGATCCCAAGCATACA TCTTAAAGAACTATCCAAACTATGACGGGACAAATATAACACCAACATCCAAGGACAGGC AAAGCATCAAAACGACTGGGAAATTTGGTCAGCAGTCCGGTGCTATTTATGTGGGCAATT ACAGAGTAGTTAACAGACACCTTGCCACACACAATGACTGGGCCAACTTAGTATGGGAAG ACAGCTCCAGGGATCTCCTTGTGTCATCCACGACTGCTCAAGGATGTGACATCATTGCTC GTTGCAATTGCCAGACTGGAGTGTATTACTGTAACTCCCAAAGAAAACACTACCCAGTTA GCTTTTCAAAGCCTAGCCTGATCTATGTGGAAGCTAGTGAGTATTACCCAGCTAGGTATC AATCTCACCTTATGCTCGCACAAGGACACTCAGAACCTGGCGATTGTGGTGGTATCCTCA GGTGCCAACACGGCGTTGTCGGCATAGTGTCCACTGGTGGTGACGGACTCGTCGGCTTCG CAGATGTCAGGGATCTCCTTTGGTTAGATGAGGAGGCGATGGAGCAAGGTGTGTCTGATT ACATCAAGGGACTCGGTGATGCATTTGGAACTGGCTTCACTGATGCTGTCTCTAGAGAAG TGGAGGCCCTTAAAAACCACCTAATTGGTTCTGAAGGAGCTGTTGAGAAAATCCTCAAGA ATTTGATCAAGTTAATCTCTGCTCTTGTCATTGTGATTAGGAGTGATTATGACATGGTCA CCCTTACAGCAACTCTAGCTTTAATCGGGTGTCACGGTAGTCCTTGGGCATGGATTAAAA CAAAGACAGCATCTATTTTAGGCATCCCTATCGCTCAAAAGCAGAGCGCCTCYTGGCTTA AAAAGTTCAACGATATGGCCAACGCTGCCAAGGGATTGGAATGGGTTTCTAACAAGATCA GCAAATTCATCGATTGGCTCAAGGAAAAAATCATACCAGCAGCCAAGGAGAAGGTCGAGT TTTTAAATAACTTGAAACAGTTACCACTGCTAGAGAACCAAATCTCTAATCTGGAACAAT CTGCTGCCTCACAAGAGGACCTTGAAGTTATGTTTGGGAATGTGTCATATCTAGCTCACT TCTGTCGTAAGTACCAGCCACTATACGCTACAGAAGCCAAAAGAGTCTACACTCTAGAGA AGAGGATGAACAACTACATGCAGTTCAAGAGCAAACACCGTATTGAACCTGTATGTCTTA TTATCAGGGGTTCACCGGGCACTGGGAAGTCTTTAGCAACTGGCATCATTGCTCGAGCGA TAGCTGATAAGTATCACTCCAGTGTCTATTCACTCCCACCAGACCCAGACCACTTTGATG GGTACAAGCAGCAAGTGGTTACAGTCATGGATGATCTATGTCAAAATCCTGACGGCAAAG ATATGTCACTGTTTTGCCAAATGGTGTCTACCGTGGACTTCATTCCTCCAATGGCTTCCT TAGAAGAGAAGGGGGTCTCTTTCACATCTAAGTTCGTCATTGCATCCACTAATGCTAGTA ATATCATAGTGCCAACAGTATCTGATGCAGACGCCATTCGCCGCAGGTTCTATATGGATT GTGACATTGAAGTAACAGACTCATATAAAACAGACCTGGGTAGGTTGGATGCCGGGCGAG CAGCCAAATTGTGTTCTGAGAACAACACAGCAAATTTCAAGCGTTGCAGCCCATTAGTGT GTGGAAAGGCTATTCAATTAAGAGATAGGAAATCTAAGGTCAGATACAGCGTGGACACAG TGGTCTCTGAACTCATAAGAGAGCATAATAACAGATCCGCCATTGGTAACACAATTGAGG CTTTGTTCCAGGGCCCACCCAAATTTAGACCCATAAGGATTAGTCTTGAAGAAACGCCAG CTCCAGATGCTATTAGTGATCTTCTCACTAGTGTGGATAGCGAAGAGGTACGTCAATACT GTAGGGATCAAGGTTGGATTATTCCGGAAACCCCTACAAATGTTGAACGACACCTCAACA GAGCTGTGTTGATTATGCAATCCATCGCCACGGTAGTGGCGGTTGTCTCATTGGTGTACG TCATCTATAAACTCTTTGCTGGGTTCCAGGGCGCATATTCTGGTGCCCCCAAGCAAACGC TTAAGAAACCTGTTCTCCGCACAGCAACAGTGCAGGGTCCAAGCCTTGATTTTGCCCTAT CACTATTGAGAAGAAACATCAGGCAAGTGCAGACAGATCAAGGGCACTTCACCATGCTGG GTATCAGAGATCGCTTGGCTATCCTCCCGCGACATTCTCAACCTGGAAGGACTATCTGGG TGGAACACAAACTCGTGAACGTCCTGGATGCTATCGAGCTGGTGGATGAACAAGGGGTCA ACTTAGAGCTGACCTTAATCACCCTCGACACCAATGAGAAATTCAGGGATATCACCAAGT TCATTCCAGAAACCATTAGTGGTGCCAGCGATGCCACCTTAGTGATCAATACAGAGCACA TGCCCTCAATGTTTGTGCCAGTAGGTGATGTTGTACAGTATGGCTTCCTAAATCTCAGCG GGAAACCGACTCATCGCACTATGATGTATAACTTCCCTACTAAGGCAGGACAATGTGGAG GGGTAGTCACATCAGTTGGAAAGATCATTGGCATTCATATAGGAGGTAATGGTAGGCAGG GATTCTGTGCGGGACTCAAGAGAAGCTACTTTGCTAGTGAACAGGGAGAGATCCAATGGG TTAAACCTAACAAAGAAACAGGAAGACTCAACATCAATGGACCAACTCGCACCAAGCTCG AGCCTAGTGTGTTTCATGATGTCTTTGAGGGTGACAAGGAGCCAGCAGTCTTGCATAGTA AGGACCCCCGCCTTGAGGTGGACTTCGAGCAAGCATTGTTCTCCAAGTACGTGGGGAACA CACTACACGAACCTGATGAGTATATCAGGGAGGCAGCCCTCCACTATGCGAACCAATTAA AGCAGCTAGACATAAATACCTCCCAGATGAGCATGGAGGAGGCCTGTTATGGCACAGAAA ACCTTGAGGCTATTGACCTTCACACTAGTGCGGGATACCCCTATAGCGCGCTGGGAATAA AAAAGAGGGATATCTTAGACCCCATTACCAGAGATGTGAGCAAGATGAAGTTCTATATGG ATAAGTACGGTCTTGACCTCCCTTACTCCACCTATGTCAAAGATGAACTTCGCTCAATAG ATAAGATTAAGAAGGGGAAGTCTCGCTTGATTGAAGCTAGCAGCTTGAATGACTCGGTCT ACCTTAGAATGGCCTTTGGGCACCTCTATGAAGCTTTCCATGCGAACCCTGGCACTGTGA CTGGCTCAGCTGTGGGGTGTAACCCAGATGTATTTTGGAGCAAGCTACCAATCCTGCTTC CTGGTTCCCTCTTCGCTTTTGACTACTCAGGTTACGATGCTAGCCTCAGCCCAGTTTGGT TCAGAGCGTTGGAATTAGTCCTTAGAGAGATAGGTTATGGTGATGAGGCAGTCTCACTCA TTGAAGGAATCAACCATACACACCATGTGTACCGTAACAAAACCTACTGCGTACTTGGTG GAATGCCCTCAGGTTGCTCAGGGACATCCATCTTCAACTCAATGATTAATAACATCATCA TCAGAGCACTACTTATTAAAACATTCAAGGGCATTGATCTGGATGAACTCAACATGGTTG CCTACGGGGACGATGTGCTCGCTAGTTACCCCTTTCCAATTGACTGCCTGGAGCTAGCAA AGACAGGTAAGGAGTATGGCCTAACCATGACCCCTGCAGACAAGTCCCCTTGCTTCAATG AAGTTAATTGGGAAAATGCAACCTTCCTCAAGAGAGGCTTCTTGCCTGATGAGCAATTCC CGTTTTTGATCCACCCCACCATGCCAATGAAGGAGATTCATGAATCCATTCGGTGGACCA AGGATGCACGCAATACTCAAGATCACGTGCGGTCTCTATGTCTGTTGGCATGGCATAACG GTAAGCAAGAATATGAAAAATTTGTGAGCTCAATTAGATCCGTCCCAGTAGGAAAAGCAT TGGCAATCCCCAACTATGAAAATCTGAGACGTAATTGGCTCGAATTGTTTTAGAGGTTGG ACAAACGACTCAACCCCACCAGAAATCTGGTCGTGAATGTGACTGGTGGGGGTAAATTTG TTATAACCAGAATAGC ================================================ FILE: tests/input/TestDifficultSampleNames/RunInfo.xml ================================================ 000000000-AEF96 M04004 150821 ================================================ FILE: tests/input/TestDifficultSampleNames/SampleSheet-inline-commas-strings.csv ================================================ [Header],,,,,,,,, IEMFileVersion,4,,,,,,,, Investigator Name,Adrianne,,,,,,,, Experiment Name,Zika run,,,,,,,, Date,6/27/2016,,,,,,,, Workflow,GenerateFASTQ,,,,,,,, Application,FASTQ Only,,,,,,,, Assay,Nextera XT,,,,,,,, Description,Samplesheet with inline commas and strings,,,,,,,, Chemistry,Amplicon,,,,,,,, ,,,,,,,,, [Reads],,,,,,,,, 101,,,,,,,,, 101,,,,,,,,, ,,,,,,,,, [Settings],,,,,,,,, ReverseComplement,1,,,,,,,, Adapter,CTGTCTCTTATACACATCT,,,,,,,, ,,,,,,,,, [Data],,,,,,,,, Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,I5_Index_ID,index2,Sample_Project,Description "Zika \"seedstock_1 (in K562, 5ng)",,,,N705,GGACTCCT,S507 ,AAGGAGTA,, "Zika seedstock_2 (in K562, 5ng)",,,,N706,TAGGCATG,S507 ,AAGGAGTA,, "Zika 'seedstock_3 (in K562, 5ng)",,,,N707,CTCTCTAC,S507 ,AAGGAGTA,, "Zika seedstock_4 (in K562, 5ng)",,,,N710,CGAGGCTG,S507 ,AAGGAGTA,, K562 (5ng),,,,N714,GCTCATGA,S507 ,AAGGAGTA,, Negative control (water),,,,N715,ATCTCAGG,S507 ,AAGGAGTA,, " Zika seedstock_7 (in K562, 10pg)",,,,N705,GGACTCCT,S508 ,CTAAGCCT,, "Zika seedstock_8 (in K562, 10pg)",,,,N706,TAGGCATG,S508 ,CTAAGCCT,, "Zika seedstock_9 (in K562, 10pg)",,,,N707,CTCTCTAC,S508 ,CTAAGCCT,, "Zika seedstock_10 (in K562, 10pg)",,,,N710,CGAGGCTG,S508 ,CTAAGCCT,, "Zika seedstock_1 (in K562, 5ng)_HS",,,,N714,GCTCATGA,S513,TCGACTAG,, "Zika seedstock_2 (in K562, 5ng)_HS",,,,N714,GCTCATGA,S515,TTCTAGCT,, "Zika seedstock_3 (in K562, 5ng)_HS",,,,N714,GCTCATGA,S516,CCTAGAGT,, "Zika seedstock_4 (in K562, 5ng)_HS",,,,N714,GCTCATGA,S517,GCGTAAGA,, "Zika seedstock_7 (in K562, 10pg)_HS",,,,N715,ATCTCAGG,S513,TCGACTAG,, "Zika seedstock_8 (in K562, 10pg)_HS",,,,N715,ATCTCAGG,S515,TTCTAGCT,, "Zika seedstock_9 (in K562, 10pg)_HS",,,,N715,ATCTCAGG,S516,CCTAGAGT,, "Zika seedstock_10 (in K562, 10pg)_HS",,,,N715,ATCTCAGG,S517,GCGTAAGA,, ================================================ FILE: tests/input/TestDifficultSampleNames/SampleSheet.csv ================================================ [Header],,,,,,,,, IEMFileVersion,4,,,,,,,, Investigator Name,James,,,,,,,, Experiment Name,EBoV HS ,,,,,,,, Date,8/18/2015,,,,,,,, Workflow,GenerateFASTQ,,,,,,,, Application,FASTQ Only,,,,,,,, Assay,Nextera XT,,,,,,,, Description,,,,,,,,, Chemistry,Amplicon,,,,,,,, ,,,,,,,,, [Reads],,,,,,,,, 101,,,,,,,,, 101,,,,,,,,, ,,,,,,,,, [Settings],,,,,,,,, ReverseComplement,0,,,,,,,, ,,,,,,,,, [Data],,,,,,,,, Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,I5_Index_ID,index2,Sample_Project,Description difficult/\//value+for'` -〠데이터Sénégalsample_name0.6,GID/14/E021,,,N702,CGTACTAG,S502,CTCTCTAT,, difficult/\//value+for'` -Sénégalsample_name0.5,GID/14/E021,,,N702,CGTACTAG,S503,TATCCTCT,, difficult/\//value+for'` -Sénégalsample_name0.4,GID/14/E021,,,N702,CGTACTAG,S504,AGAGTAGA,, difficult/\//value+for'` -Sénégalsample_name0.3,GID/14/E021,,,N702,CGTACTAG,S505,GTAAGGAG,, difficult/\//value+for'` -Sénégalsample_name0.1,GID/14/E021,,,N702,CGTACTAG,S508,CTAAGCCT,, difficult/\//value+for'` -Sénégalsample_name4.6,GID/14/E021,,,N703,AGGCAGAA,S502,CTCTCTAT,, difficult/\//value+for'` -Sénégalsample_name4.5,GID/14/E021,,,N703,AGGCAGAA,S503,TATCCTCT,, difficult/\//value+for'` -Sénégalsample_name4.4,GID/14/E021,,,N703,AGGCAGAA,S504,AGAGTAGA,, difficult/\//value+for'` -Sénégalsample_name4.3,GID/14/E021,,,N703,AGGCAGAA,S505,GTAAGGAG,, difficult/\//value+for'` -Sénégalsample_name4.1,GID/14/E021,,,N703,AGGCAGAA,S508,CTAAGCCT,, difficult/\//value+for'` -Sénégalsample_name20.6,GID/14/E021,,,N704,TCCTGAGC,S502,CTCTCTAT,, difficult/\//value+for'` -Sénégalsample_name20.5,GID/14/E021,,,N704,TCCTGAGC,S503,TATCCTCT,, difficult/\//value+for'` -Sénégalsample_name20.4,GID/14/E021,,,N704,TCCTGAGC,S504,AGAGTAGA,, difficult/\//value+for'` -Sénégalsample_name20.3,GID/14/E021,,,N704,TCCTGAGC,S505,GTAAGGAG,, difficult/\//value+for'` -Sénégalsample_name20.1,GID/14/E021,,,N704,TCCTGAGC,S508,CTAAGCCT,, difficult/\//value+for'` -Sénégalsample_name48.6,GID/14/E021,,,N705,GGACTCCT,S502,CTCTCTAT,, difficult/\//value+for'` -Sénégalsample_name48.5,GID/14/E021,,,N705,GGACTCCT,S503,TATCCTCT,, difficult/\//value+for'` -Sénégalsample_name48.4,GID/14/E021,,,N705,GGACTCCT,S504,AGAGTAGA,, difficult/\//value+for'` -Sénégalsample_name48.3,GID/14/E021,,,N705,GGACTCCT,S505,GTAAGGAG,, difficult/\//value+for'` -Sénégalsample_name48.1,GID/14/E021,,,N705,GGACTCCT,S508,CTAAGCCT,, ================================================ FILE: tests/input/TestFastaFetch/JQ610675.1.fa ================================================ >JQ610675.1 Orungo virus isolate UGMP 359 segment 1, complete sequence GTATAATTAGGAATGGTCATCACTGTGGAAGGTGCGTGGCTGGTGAGACGGGCGTTGCAACGTTTTTTGA AGTTCAGTAAAATCGACGGGGAATCAGCAGTTTATGAGTTCTATAGGTATTCAAGTAATATTCGTGAAAT AAGAAGGAAGCATGGGACGCGTTATAAAATGCATGATGAAGAGTTGGAGCGGAGGCGTGATTCGGGCAAA CTGCGTTTTAAAGGTATGCAAGTTGTGGTAGAGTCGACTTGGATGGAGATTTTAGGGAAGGGACGTACGA CGGACGAAATCGAGATATTCAGAAGTTCGATTTTATCGTTGGATGAACTGAATCCGGAAGAAGAATTTCT GCGCAATTATGCGAGTTCGGACAAGGAACATCCATCCTACTTGTTTGTTCGGGGGCGGGCGGTCAATGAG ATGCAGATTTATGGCGACATGCCGATAAAAGCGTGGTTGAGCTTTTTAGTAGAATGTGAGGTTGAATATG GGTACAAACTCTTCGGAATGGAAGTTGCGAGATCGTTCGTTCAGAGCTTTGGATCTCCGTTTCACCAGAA CTCGCGTGATCTATCACAGATTGACGATATGGCGCCTGCTTTTACGTCACCTTTATTATTTGAAATGTGT TGTATGACATCAATTCTCGAAATTAATATACGCATGCGTATGCTGGAGGAGAGGGTTGCAACCCTAAAAT TTGGTGAGCGGGAGATCGACCCACTTGAAGTACTAAAAGAATTCTTCCGAATCTGCATTCCGCATCCGAA AAAGATTAATAATATGTTGAGAGCTCCATACTCATGGTTCGTCAAGCTGTGGGGCGTATCGTATCATGAG CCAATAGTCCTGACGGCGAGGGGCGGCGAGGATAAGAACTCGAAAGACATATTCTTTACGGGATTTCACA GAGTCAAGAATCCATACTCAATAATGTTGAAAAAATCGAGGTTTTTTAAGAAATCTTTAGACGAGAATAT CAGCAAAGTGAAAGAAGCGATAGACTATTCAAACTCGTTGACGGGGATGTCTTTAGGGCTGCCCGTATTT CTATCCATGCTACAGAATGTGTACGACACTGAGTTTAATCCGACTATGGTTCAACACGTGTTACTAGCGT CGTTCTTGTTGAGTATCCAAACAATAACTGGCTATGGACGCGCTTGGGTGAAAAATGTGTCAAGCGATAA CGACACTCAAATGCGCCCGGCGGAGGACAACTTCATTGATCGAGTTGCTAAGCAAACGGAGATTAATTTT ATACAGGCGTATGAAGAGGCGTTGGGGCACGGAGAAGATATCGTTAAGCCAGAAGACATGTTTACCTCCA TTTTGCGTTTGGCAAGAAATACAAGTTCCGGCTTCTCTACTGCTGTTGACGTTTATAAACGATTCGGTCC AAAGTCGGGAGGGAGAGGAGAACGCGTTAAGATAACATCAAGAATTAAAGCATTAGTTATCTTCACAAAG GGCCATGAAATATTTACAGCTGAAAATCTCGCGAAAAGATATGATACGGAGGAAGATTACCAGACTAAAG GGTCACGGGATGTACCTATCAAAGCAACGCGGACGATTTATTCAATAAACCTCTCCATCTTGATCCCGCA GCTGATCCTAACTTTACCGTTGAATGAATATTTTGCCCGGTTCGGAGGATCAACTGCACCTGACTCACGT AGCCTAGGGGGTAAGGTGATTATCGGAGATCTAGAAGCAACGGGATCACGGACGATCGATGCGGCAGATA CGTTTAGAAATTCGTCCGACCCAGAAATTTTCACAATAGCGATCGATTATTCGGATTACGATCAACATTT GACGGTTTTTAACTTCAGGAACGGTATGCTGGAAGGAATTCGCTCTGCGATGAAGAGATATAAAGAGTTG AGGTATGATGGATACACGTTGAATGAATTGATTGAATTCGGGTATGGGGAGGGGAGAATTGTTAATTCGA AATGGAACGGAAAGAGGCGGGTCAAATCTGTACGAATGAGCGATTATATGGCATTGAGTGAAAGTCAACG CGCTCAGGGCACTTTCAAGCCGCCGCAGGGAGTGAGACCGGTTAGTTCAATGCAAGTGTTCGATTCAGTG GGTGAGGCATCTGGAGGGGATACTCTCCTCATCTCGCCCACTGACGGATCGGATTTAGCAACCGTCAACA CGCATTTGTCGGGTGAAAATTCAACGTTAGTTGCTAACTCTTTGCATAATATGGCTATCGGACGTATCAT ACAAGAAGAGATCAGAAAGAACCATCGAGCGGCTTTTACCTTTGAATCTGAGCAGTACGTTGGAGATGAT ACGTTACTTTATGCAAAGTTGAACACATTAAACCATGAAATTTTTGATAAAGCGATTGATACCATCTTCG ATACTGTGGGAAAGTGCGGACATGTGGCATCGGCAGCGAAAACCCTTATCGCTCCTTTCTCTGTTGAAAA AACTCAGACTCATGCGAAGCAAGGAATTTACATTGCGCAGGATCGGATGATGATCATCTCTTCAGAGCGT AGAAAGGATATCGAGGACGTCCAAGGGTATATGAGATCACAAGTGTCGGTTATGGCGACAAAAGTAAGCC GCGGCTTTAGTCATGAACTGGCTCAGCTTGTCTTTATGATGAAGAGCAGCATCGTAGGCTTTCGTAAACT GAAGCGAACTGTGGTGGAGGATGGTGTATACCGTGATCGCGCGTTGGATTCGGAAGATGAGGATGGCTTC ACTTTGATGCAGATCCGTGATCCGTTGGTCGCCTTCTACCCTGCTGAGTGGAACGGCTATGGCATGCATC CAGTCGCTTTGAATATCGTCATGACGGAAGACATGTTTATAGACACGAGTACCATGGTTGAGTTTCAGCA TGTAATGCGGCCGCTCCTTCGATTTATGGGTAGGATACCTCCAGTGTGGAATGAAACTAAAGCCGATAAA CGTCAGATTTCATCCATAACAAAGATGAGTTTCTTCTCCAAAATGGCTAGACCAGCGGTGAGGGCGGTTC TGGCGAATAGTGAACTGTCAGATCAAGTGAGAACATTGCCACTGGGCGACTTTTCGCCTTTCAATCTCTC CGCAACAATGATGCACTCAGCATTATTGAAAGAACCACGCGCGCGTGCCCTGCTGACGCCAGCCTACGAA AAAGAATTCCAGTCAGAGTTGAATTCAAACCGGGATAGCGAAGTAAATTTCGTCGGGAGGAACATGGAGA TCAACACTAATTATATGAAACTGTTCGATGTTGATTTGTCTACGCGAATAGTGGCCAAACAATTTAGTTT TCCAGATCAGAATATGTCGTTGCCTTTTTATTTTCAGAAACTCTTGATTGGACATAGACCGGTCGCGCGG ATGAGAATGACCTATATTGACCGGATTGACCAAATCTTACGGGGAGACGTCGTGATGAGGGGTTTCATCA CAGCGAATACTATTATGTCCGTTTTAGAGAAGATTGGCACTGCTCACGCCGTACAGGACTTAACAACAAT ATTTCAGTTGATGAACATTGAATCTAAGGTGGCGCATAGGCTAGCGGAGTATATCGCTTCTGAAAGGGTA AGATTCGACGCGCTCTCGATTGCAAAGAGGGGGATATGCGGGGATGAATTCTCCATGTCGCTGGATGTGT GCACGGAACGGTTTGCTGAACGGTTCATGGAACTACCAGCGCAGTTTACTAAAACTGAGAGAGATATAGC GATTTTATATGCCGCGCAGCTAACTATGTTGCGCTGTGCGGCTAACCTAGATCTTAGGAAAATTAAGATT GGGGTTTCAGCGGATCACGTTAAGAGATTTAAACAAAGACAGGCTAGATTTAAGACTCATCTACCTAAAA TGCGTACAGTCACGCGGCTGATAACGCCTGAACGAATCTCCGCACGCCTGGTTCAGCATCAGTTTACATG ACGCACCACCTAATCAACTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610675.1.fasta ================================================ >JQ610675.1 Orungo virus isolate UGMP 359 segment 1, complete sequence GTATAATTAGGAATGGTCATCACTGTGGAAGGTGCGTGGCTGGTGAGACGGGCGTTGCAACGTTTTTTGA AGTTCAGTAAAATCGACGGGGAATCAGCAGTTTATGAGTTCTATAGGTATTCAAGTAATATTCGTGAAAT AAGAAGGAAGCATGGGACGCGTTATAAAATGCATGATGAAGAGTTGGAGCGGAGGCGTGATTCGGGCAAA CTGCGTTTTAAAGGTATGCAAGTTGTGGTAGAGTCGACTTGGATGGAGATTTTAGGGAAGGGACGTACGA CGGACGAAATCGAGATATTCAGAAGTTCGATTTTATCGTTGGATGAACTGAATCCGGAAGAAGAATTTCT GCGCAATTATGCGAGTTCGGACAAGGAACATCCATCCTACTTGTTTGTTCGGGGGCGGGCGGTCAATGAG ATGCAGATTTATGGCGACATGCCGATAAAAGCGTGGTTGAGCTTTTTAGTAGAATGTGAGGTTGAATATG GGTACAAACTCTTCGGAATGGAAGTTGCGAGATCGTTCGTTCAGAGCTTTGGATCTCCGTTTCACCAGAA CTCGCGTGATCTATCACAGATTGACGATATGGCGCCTGCTTTTACGTCACCTTTATTATTTGAAATGTGT TGTATGACATCAATTCTCGAAATTAATATACGCATGCGTATGCTGGAGGAGAGGGTTGCAACCCTAAAAT TTGGTGAGCGGGAGATCGACCCACTTGAAGTACTAAAAGAATTCTTCCGAATCTGCATTCCGCATCCGAA AAAGATTAATAATATGTTGAGAGCTCCATACTCATGGTTCGTCAAGCTGTGGGGCGTATCGTATCATGAG CCAATAGTCCTGACGGCGAGGGGCGGCGAGGATAAGAACTCGAAAGACATATTCTTTACGGGATTTCACA GAGTCAAGAATCCATACTCAATAATGTTGAAAAAATCGAGGTTTTTTAAGAAATCTTTAGACGAGAATAT CAGCAAAGTGAAAGAAGCGATAGACTATTCAAACTCGTTGACGGGGATGTCTTTAGGGCTGCCCGTATTT CTATCCATGCTACAGAATGTGTACGACACTGAGTTTAATCCGACTATGGTTCAACACGTGTTACTAGCGT CGTTCTTGTTGAGTATCCAAACAATAACTGGCTATGGACGCGCTTGGGTGAAAAATGTGTCAAGCGATAA CGACACTCAAATGCGCCCGGCGGAGGACAACTTCATTGATCGAGTTGCTAAGCAAACGGAGATTAATTTT ATACAGGCGTATGAAGAGGCGTTGGGGCACGGAGAAGATATCGTTAAGCCAGAAGACATGTTTACCTCCA TTTTGCGTTTGGCAAGAAATACAAGTTCCGGCTTCTCTACTGCTGTTGACGTTTATAAACGATTCGGTCC AAAGTCGGGAGGGAGAGGAGAACGCGTTAAGATAACATCAAGAATTAAAGCATTAGTTATCTTCACAAAG GGCCATGAAATATTTACAGCTGAAAATCTCGCGAAAAGATATGATACGGAGGAAGATTACCAGACTAAAG GGTCACGGGATGTACCTATCAAAGCAACGCGGACGATTTATTCAATAAACCTCTCCATCTTGATCCCGCA GCTGATCCTAACTTTACCGTTGAATGAATATTTTGCCCGGTTCGGAGGATCAACTGCACCTGACTCACGT AGCCTAGGGGGTAAGGTGATTATCGGAGATCTAGAAGCAACGGGATCACGGACGATCGATGCGGCAGATA CGTTTAGAAATTCGTCCGACCCAGAAATTTTCACAATAGCGATCGATTATTCGGATTACGATCAACATTT GACGGTTTTTAACTTCAGGAACGGTATGCTGGAAGGAATTCGCTCTGCGATGAAGAGATATAAAGAGTTG AGGTATGATGGATACACGTTGAATGAATTGATTGAATTCGGGTATGGGGAGGGGAGAATTGTTAATTCGA AATGGAACGGAAAGAGGCGGGTCAAATCTGTACGAATGAGCGATTATATGGCATTGAGTGAAAGTCAACG CGCTCAGGGCACTTTCAAGCCGCCGCAGGGAGTGAGACCGGTTAGTTCAATGCAAGTGTTCGATTCAGTG GGTGAGGCATCTGGAGGGGATACTCTCCTCATCTCGCCCACTGACGGATCGGATTTAGCAACCGTCAACA CGCATTTGTCGGGTGAAAATTCAACGTTAGTTGCTAACTCTTTGCATAATATGGCTATCGGACGTATCAT ACAAGAAGAGATCAGAAAGAACCATCGAGCGGCTTTTACCTTTGAATCTGAGCAGTACGTTGGAGATGAT ACGTTACTTTATGCAAAGTTGAACACATTAAACCATGAAATTTTTGATAAAGCGATTGATACCATCTTCG ATACTGTGGGAAAGTGCGGACATGTGGCATCGGCAGCGAAAACCCTTATCGCTCCTTTCTCTGTTGAAAA AACTCAGACTCATGCGAAGCAAGGAATTTACATTGCGCAGGATCGGATGATGATCATCTCTTCAGAGCGT AGAAAGGATATCGAGGACGTCCAAGGGTATATGAGATCACAAGTGTCGGTTATGGCGACAAAAGTAAGCC GCGGCTTTAGTCATGAACTGGCTCAGCTTGTCTTTATGATGAAGAGCAGCATCGTAGGCTTTCGTAAACT GAAGCGAACTGTGGTGGAGGATGGTGTATACCGTGATCGCGCGTTGGATTCGGAAGATGAGGATGGCTTC ACTTTGATGCAGATCCGTGATCCGTTGGTCGCCTTCTACCCTGCTGAGTGGAACGGCTATGGCATGCATC CAGTCGCTTTGAATATCGTCATGACGGAAGACATGTTTATAGACACGAGTACCATGGTTGAGTTTCAGCA TGTAATGCGGCCGCTCCTTCGATTTATGGGTAGGATACCTCCAGTGTGGAATGAAACTAAAGCCGATAAA CGTCAGATTTCATCCATAACAAAGATGAGTTTCTTCTCCAAAATGGCTAGACCAGCGGTGAGGGCGGTTC TGGCGAATAGTGAACTGTCAGATCAAGTGAGAACATTGCCACTGGGCGACTTTTCGCCTTTCAATCTCTC CGCAACAATGATGCACTCAGCATTATTGAAAGAACCACGCGCGCGTGCCCTGCTGACGCCAGCCTACGAA AAAGAATTCCAGTCAGAGTTGAATTCAAACCGGGATAGCGAAGTAAATTTCGTCGGGAGGAACATGGAGA TCAACACTAATTATATGAAACTGTTCGATGTTGATTTGTCTACGCGAATAGTGGCCAAACAATTTAGTTT TCCAGATCAGAATATGTCGTTGCCTTTTTATTTTCAGAAACTCTTGATTGGACATAGACCGGTCGCGCGG ATGAGAATGACCTATATTGACCGGATTGACCAAATCTTACGGGGAGACGTCGTGATGAGGGGTTTCATCA CAGCGAATACTATTATGTCCGTTTTAGAGAAGATTGGCACTGCTCACGCCGTACAGGACTTAACAACAAT ATTTCAGTTGATGAACATTGAATCTAAGGTGGCGCATAGGCTAGCGGAGTATATCGCTTCTGAAAGGGTA AGATTCGACGCGCTCTCGATTGCAAAGAGGGGGATATGCGGGGATGAATTCTCCATGTCGCTGGATGTGT GCACGGAACGGTTTGCTGAACGGTTCATGGAACTACCAGCGCAGTTTACTAAAACTGAGAGAGATATAGC GATTTTATATGCCGCGCAGCTAACTATGTTGCGCTGTGCGGCTAACCTAGATCTTAGGAAAATTAAGATT GGGGTTTCAGCGGATCACGTTAAGAGATTTAAACAAAGACAGGCTAGATTTAAGACTCATCTACCTAAAA TGCGTACAGTCACGCGGCTGATAACGCCTGAACGAATCTCCGCACGCCTGGTTCAGCATCAGTTTACATG ACGCACCACCTAATCAACTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610676.1.fa ================================================ >JQ610676.1 Orungo virus isolate UGMP 359 segment 2, complete sequence GTATAATTGATCCGCGATGGCTTTCGAGCGTACGGTAGCCTTAACAAGAGAGTTCGCAAATGAAACAAGA CAGCATTTTGGGAAGTTTGATATAGTTGTAAACACGGAAAGCAGTATTGAGGACGAAGCAACGGGTGAGT GGGAGTTCGCACGAAGTGATGGGCGGCTTGGCATCTATGAAGAATTGCATAATAGCATCGCTTATAAACA TTATACGGCGATACTAAAAGGGCCGGAAAATTATTTGAATATTCCGCAGATTTTTGAGTCGAAAATCTAT AAGAATTTGAATAGGGATGATCTATTGGCGAGATATGATTATTCACAAATACTAAGATTCCGAGATAGTA AGATAGCGGGCCGATTGAGGATGCAGACGTATTTCGGGGACGTGCATGTAAGTGCGGGACTGATAGATTG TGTAGCGATGGTTCGTGAGCCTATTAGAAGGGAAGGGTGTCAGCATATGATGGTACGTAGTTTTGATTTG ATGAATGCGGGCCAGTTTTTCGATGTTCATGCGCCGAAGATCCACGCGTTTGATGACACGGTGATAGTTG AAAGCATGGACATCGAAAACGGAGTATGGCGCGTAAAGGCGGGTGGCGTAGGTTTGAAAACGCTGCAGGA AAAAGCGGAAGGAATACTCGGAGATTCAGTGTTAGACTTAGTCCACAACTATCTCAGCCAAAAGTGGGAC GCAGGTTATGTGGCCGCGAAGTTGCTGAGGTTTGATGAGACATATAAATTTCATCCAATTCATGAGGTGG GAATTTTCAACACATTGATGATACGCATGGGTCAACTCGATGACGCGTATAGGGATGGGTTCTTCGATTA TGACGAGATTCACGCTCAATTGATGAGGGATGTGACTTTTCAGTACCCAGAAGGTAAGCCAGTCTTTCGG AGAGATGGCCAATTCTTTAAAAACCTAGTGCAGTATTCGGGACGGGCGAAGATTGGGTATGAGACGTATT TACCAGACAGGGAATTGTGGACTGAATGGCGAACGAGATCATCCGTGCAAGATGTTGTACCCAAGTATAT GGAATGGTTGATAGGTAGATTACAGTTGGGGAAAATGCTTAAAATAATGTCGGAATTACCAGCGGATGTT ACGATGCCCAACTATCTTTTGAAAGCCATTACATATAAATCGAGTGTATATGTTAAGAGATTGATACTCA CGTACATCGCTTTACGAATGACGTTTGGACGGTGTCCAGTAAACAAAAAAGGAACGCTTGCCTCATCAGT CTTAGGTTTTCTACACGCGGTTATTCCGAATCTGGAGGAATTTCTGAGGAAAGCGGGAATAACGGATGAA CTATGTGTTAAAATGGAGTTTACGCCGAGACTTACTGTGATGGAGAGAGAGGATAGGAAGTCAGACAGAT ACGCCGTTGTCTTGCAAGTTTATAGGGAGAGGAAGCTGGAGGTTTTTACGCCTATAGACTCAGACTTGTT CGAAGATCGGAAAAAGTACTATGACGAGATCTTGAAAGATAAAAGATGGCGTGGAGAAGAGACTGATTAT TTTTTTAAAGACTCAGGGATACACCGGTCCCAGGTGGCTGGGTTGAGCGCAGAGCAGCTCACGTTGAAAA AGTTAGGACGCGACTCAGATTTCAACGACCCTAAACGGTTCGTTTCATACAGATATAGATATGTATCAGT TAAAGCGGGAGATATCTATGCAGAAGGGGAGAGCGTTATAACGGGACCATTATTGACACTGATTCCACAT GCCTACGAGTTCGGACGAGTATCTTTGATTGCGGGGCAGTCTCGAGATCAATCAAAGTTGGATAATGTCC CAGTCTACCGTGACCACATGAAATCCTTGGAGTTAAATGGCGTCGAAGTTGGCTATGACACTTGGTGTCC GTCGGGGCGTGCAGTACAAGTTAACTTGGAGTTGATATCTACCATCCTGTATAACGCGTTCAAACGTCCC ATCGTTAAGGGAGCATTATGTCACTTCGGTATGTGGGAATTTTATAACCCGAGACGTCCCGCGTATGAGT CAGTAGACGTGACAATCATGAATGCGATCTCGGATATCACTGGGAGCAAAAGATGGGCATATCAGGAAAT TCAAGATTGGTTGGCGAGATTTATTAAGGGGTCACGGGTTGACATGGTGACACACCGCTTCCACGGGGTA ACGAAGAAGCCAACAACTCGAGGTGAGATATGGATCTGGAACCTACTACTAGTTTTGATCTCAAATCCCA GTCTGGTGGTATCACAAACGGATAAATTTCCCTTATGGGTTTGCGCCTCTGATGGCTTACACCTGATTAG TACGGGAGTGAGGCATACCGATCATTTTAGACTTTGGGAGTGGCTACCATATACCGAAAAAATTGGGAAC GACGATTATATGTCGGTTCTCGCCACAGATAGAGAGTTGCGGCTTTTCGAAATCGCGTTGGAATACTTCG AGACTATACGCATTGGATATAGGAGAGATGAATGGACGCATTTGAAATCGAACATGTTTAATACCTGGCT GGGGACGCATTGTGGGGGTGTAGGGGACGGGATGATATTGTTTGACCCGGTGAGATTACCATCCCCGAGC AGCGTCCTTTATTTGATCTGTTCGCATAACTCAACTTTAGAAGGAATGATGTATTTACTACATGATATAT ACGGGAAGATCGTTGAAGAGAATACTGGTACTGTTTTCATAAGGGTACACGCGCGAGGTTGTAAGTGCTC GGTGTGCCGAGGGGGTTTACAGGGAGTTGACGTAAAGAATAGGTCAGCTATGCGTGTTCGTAGTATGCCA GGGAACATCGGCTTCGATTCAGTCAACCTAATTCTTTCAACATCAACGACGAGCGCGTTTGGGAACTCTT ACATTTACTTTAAGCTTATTAATCGTTAGTGAGGTGACACTCGCTCCGCGATCACGCAGATAC ================================================ FILE: tests/input/TestFastaFetch/JQ610676.1.fasta ================================================ >JQ610676.1 Orungo virus isolate UGMP 359 segment 2, complete sequence GTATAATTGATCCGCGATGGCTTTCGAGCGTACGGTAGCCTTAACAAGAGAGTTCGCAAATGAAACAAGA CAGCATTTTGGGAAGTTTGATATAGTTGTAAACACGGAAAGCAGTATTGAGGACGAAGCAACGGGTGAGT GGGAGTTCGCACGAAGTGATGGGCGGCTTGGCATCTATGAAGAATTGCATAATAGCATCGCTTATAAACA TTATACGGCGATACTAAAAGGGCCGGAAAATTATTTGAATATTCCGCAGATTTTTGAGTCGAAAATCTAT AAGAATTTGAATAGGGATGATCTATTGGCGAGATATGATTATTCACAAATACTAAGATTCCGAGATAGTA AGATAGCGGGCCGATTGAGGATGCAGACGTATTTCGGGGACGTGCATGTAAGTGCGGGACTGATAGATTG TGTAGCGATGGTTCGTGAGCCTATTAGAAGGGAAGGGTGTCAGCATATGATGGTACGTAGTTTTGATTTG ATGAATGCGGGCCAGTTTTTCGATGTTCATGCGCCGAAGATCCACGCGTTTGATGACACGGTGATAGTTG AAAGCATGGACATCGAAAACGGAGTATGGCGCGTAAAGGCGGGTGGCGTAGGTTTGAAAACGCTGCAGGA AAAAGCGGAAGGAATACTCGGAGATTCAGTGTTAGACTTAGTCCACAACTATCTCAGCCAAAAGTGGGAC GCAGGTTATGTGGCCGCGAAGTTGCTGAGGTTTGATGAGACATATAAATTTCATCCAATTCATGAGGTGG GAATTTTCAACACATTGATGATACGCATGGGTCAACTCGATGACGCGTATAGGGATGGGTTCTTCGATTA TGACGAGATTCACGCTCAATTGATGAGGGATGTGACTTTTCAGTACCCAGAAGGTAAGCCAGTCTTTCGG AGAGATGGCCAATTCTTTAAAAACCTAGTGCAGTATTCGGGACGGGCGAAGATTGGGTATGAGACGTATT TACCAGACAGGGAATTGTGGACTGAATGGCGAACGAGATCATCCGTGCAAGATGTTGTACCCAAGTATAT GGAATGGTTGATAGGTAGATTACAGTTGGGGAAAATGCTTAAAATAATGTCGGAATTACCAGCGGATGTT ACGATGCCCAACTATCTTTTGAAAGCCATTACATATAAATCGAGTGTATATGTTAAGAGATTGATACTCA CGTACATCGCTTTACGAATGACGTTTGGACGGTGTCCAGTAAACAAAAAAGGAACGCTTGCCTCATCAGT CTTAGGTTTTCTACACGCGGTTATTCCGAATCTGGAGGAATTTCTGAGGAAAGCGGGAATAACGGATGAA CTATGTGTTAAAATGGAGTTTACGCCGAGACTTACTGTGATGGAGAGAGAGGATAGGAAGTCAGACAGAT ACGCCGTTGTCTTGCAAGTTTATAGGGAGAGGAAGCTGGAGGTTTTTACGCCTATAGACTCAGACTTGTT CGAAGATCGGAAAAAGTACTATGACGAGATCTTGAAAGATAAAAGATGGCGTGGAGAAGAGACTGATTAT TTTTTTAAAGACTCAGGGATACACCGGTCCCAGGTGGCTGGGTTGAGCGCAGAGCAGCTCACGTTGAAAA AGTTAGGACGCGACTCAGATTTCAACGACCCTAAACGGTTCGTTTCATACAGATATAGATATGTATCAGT TAAAGCGGGAGATATCTATGCAGAAGGGGAGAGCGTTATAACGGGACCATTATTGACACTGATTCCACAT GCCTACGAGTTCGGACGAGTATCTTTGATTGCGGGGCAGTCTCGAGATCAATCAAAGTTGGATAATGTCC CAGTCTACCGTGACCACATGAAATCCTTGGAGTTAAATGGCGTCGAAGTTGGCTATGACACTTGGTGTCC GTCGGGGCGTGCAGTACAAGTTAACTTGGAGTTGATATCTACCATCCTGTATAACGCGTTCAAACGTCCC ATCGTTAAGGGAGCATTATGTCACTTCGGTATGTGGGAATTTTATAACCCGAGACGTCCCGCGTATGAGT CAGTAGACGTGACAATCATGAATGCGATCTCGGATATCACTGGGAGCAAAAGATGGGCATATCAGGAAAT TCAAGATTGGTTGGCGAGATTTATTAAGGGGTCACGGGTTGACATGGTGACACACCGCTTCCACGGGGTA ACGAAGAAGCCAACAACTCGAGGTGAGATATGGATCTGGAACCTACTACTAGTTTTGATCTCAAATCCCA GTCTGGTGGTATCACAAACGGATAAATTTCCCTTATGGGTTTGCGCCTCTGATGGCTTACACCTGATTAG TACGGGAGTGAGGCATACCGATCATTTTAGACTTTGGGAGTGGCTACCATATACCGAAAAAATTGGGAAC GACGATTATATGTCGGTTCTCGCCACAGATAGAGAGTTGCGGCTTTTCGAAATCGCGTTGGAATACTTCG AGACTATACGCATTGGATATAGGAGAGATGAATGGACGCATTTGAAATCGAACATGTTTAATACCTGGCT GGGGACGCATTGTGGGGGTGTAGGGGACGGGATGATATTGTTTGACCCGGTGAGATTACCATCCCCGAGC AGCGTCCTTTATTTGATCTGTTCGCATAACTCAACTTTAGAAGGAATGATGTATTTACTACATGATATAT ACGGGAAGATCGTTGAAGAGAATACTGGTACTGTTTTCATAAGGGTACACGCGCGAGGTTGTAAGTGCTC GGTGTGCCGAGGGGGTTTACAGGGAGTTGACGTAAAGAATAGGTCAGCTATGCGTGTTCGTAGTATGCCA GGGAACATCGGCTTCGATTCAGTCAACCTAATTCTTTCAACATCAACGACGAGCGCGTTTGGGAACTCTT ACATTTACTTTAAGCTTATTAATCGTTAGTGAGGTGACACTCGCTCCGCGATCACGCAGATAC ================================================ FILE: tests/input/TestFastaFetch/JQ610677.1.fa ================================================ >JQ610677.1 Orungo virus isolate UGMP 359 segment 3, complete sequence GTATATATTCCTTCGCGATGGCGCATGCGGATGCTAAAGGAAGTGATCCGGAGAGAGAGGCGTTGAGGAA GAACCCTTATCTAGATGGAGACGTCTTGGGAACCGCAGGCGGCCAAGTTTTGTCGGTTTTCGCATTGACC GAAATTTTACAAAAAGTAAGACAGACGCAAGCTGAACTGGCCGCACACGCAATCGATTTGGATGGACCAG TCCCTGAGATCACCGGGGTTATTAAGAAGATAGCGGAGTTAGTTGACACCGTTCCATATGAAGTGCGCGA TTCACCACCTATAAGCTATAAGACTTTAAGCATGCAATCGCGCGACTTTGTCATCCAGGTGGACCAGTAT TACGAACAGATTTCGCAAATTGGAGGAGACGTCGGGGAGGACGAGCCGATGGAGTTCTATAAAACAATGC TAGAAAAGGTACGCTATTTAAGGAAGAGTGGAGCATTCATTTTGAGAGGTATTAAAACACGAGACTATAG GGGTAATGAAGTGGCGGAACCAGAAGCTTTAGGAGTCGAATTTCGTGAAGTACTTTCTAATTTTATTGCG GCGGATAGACAAGTGATACAGAATGCGTTAGATGCAGCCATAGTTGAAAATGGCCAGGTGGGTGATAGGG CGGTCGATGTTTATATGGCTGCTGTTTCTGAGCCATGGTATCGAATATATAATAGGTTACAGGCGTATAT TGAAGTTACGCAACTGAGAGAATTGAGGCGCGCAATGGAGTGGCTGAATGCACTTGGTCGTCGTAAGAGA GTGGAGTATGATGATTCATTCTTGACCGATTTTCGAGCGAGAGATACGGTATGGGTGCAGACGCAACAGC TTCCCGTTAACGCTCGTGTGATCTGGGAGGTTCCGAGGTCATATATAGCTAATTTGATGATGAATATCGC GTTATGTCTGCCACTAGGTGATTTCATAGCCCCAAACCCGAGGATTGGGTCGATAACGATAACCCAGCGA ATAACTATGACTACGCCTTTTGGGATGATGTCTGGGATGACCCCCACATCAATGCAGATGGACGATGTCA AGAAGATATATCTCGCGTTGCTCTTTCCCGGGCAGATCGTTTTGAATATTAAACCCGACCCAGCGCACTC CATCGATCCGGTACTGCGTATGGTTTCGGGTGTGTTGGGGCATTTGATGTTCACCTACGGTCCCAGATTT ACTAACATAACAGCTACAACATCGCAGTTGCTAGATAGTGCCTTGAGCGACTATTTTCTGTACATGCAAA ACAGTAGAGTTCCGGTGGTGTACGGACCAACTGGGTTACCTTTGGATTTTAGAATCGGTGGACGACAAGG CTATGATTGCAATAATCTGCGGGGAGACCCGCAGACTGGGAGGGGGTACAATGGATGGGGAGTCGTTGAC GTCGATCGAAGAGCACCCAGTCCGTACGATTTGGTTCAAAGATTTATACGTTACTGCAACATAGACTCTC GCGAGATCATCGACCCACGGACGTTTGGATTTAATATGAACTATCCGCTATATATGGAGATGATACGTGC ATTAGTTGCCGGAGGAAAAGATCAGGAAGCGGCGTACCTACGACAAATGTTACCTTTTCACATGATCAGA TTCGCACGGATCAATCAGATAATAAACGAAGACTTACTTAGCGCGTTTTCCTTACCAGATGAGGATTTCG ACGCATTATTTTTCAATATGCTGCGCGGCGAGTATGGAAAGGCTGAGCCGATCGTTTTAGATATCAGTTG GGCTTCAATTTGGTTTGCGTTCAACCGCTACTTTGACCCAGTCCAAAGGTCAGATCTATTATCAGTGGCA CCCATGATTGAGGCTGTCTATGCGTCAGAAATCTCCATTTTGCAATTGGATATGATCAACCTGCAGCAGT TGAGAGCGAGGGCACCTGATATGTTGATTAACGCAACTCCGAGTCAGTTTTGGAAAGCGGCGTTAGCATC CGCAGCAGAACCAGTAGTTGAGTTGATGAATCTTTCGCAGAGTTTTCGATTCATTAACGTCAGGGATATA ATACAGTGGACTAGAACACGAGAAGTGCAACCGTCGCTGGCTCTCACTTTGGAACGAGAGGCGTGGGCGG TCGCAGCTGACTTCGAAGAGTTGATGCTCGTAAACCATGTCTATTTTCATAGATCGGTGGTTCCCGAACC ACAGTTGGATGACATCGATGAATTTCGTAGGCAAGGATTCCTGTACACAAATCTATTGGAAGCGGCCCCC CCGCGTTTGTTAATCACCAATTATGATTACAACGTTGCGCTACTGCAGGCGAATCTTGGACAATTTAAAT CCGCTTTGAGGAGAATTCTGGATGACGGTGGTTGGGTGATGTTCGGGGGAATGCTGAGAAATGTTCGTTT GAAAATATACGATTCAAAGCCGGGAGAGGACGTCTTAAGCGAACTACCCTATCTTTACTCCGAGAAAGTG GAAAACGGTTTAAGGTTTGTGTCTTTGAAGTATGCGAGACGAGCAACTATTTATTTTTTAATGTATAAGG TTGAATATTCAAACACACCAGATGCTTTAATATCAGTCAACCCCACGTATACCATGACGAAGATTTATAC AAACAAGAGACTGGTCCGGAAAGTCAGGTCACCTGACGTTTTGAACATCGTTAATAAAAGAGTAGTGGCT TATAAAACGAAGATGCGGTTGATTGACATTACATCGGCACTGCGTCTTGGTGTTAAACTTGCAGCACCTA CAGTGTGAATTGACCACTCAACCTGTGGTGCTCGGTGGGGAATTCGCTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610677.1.fasta ================================================ >JQ610677.1 Orungo virus isolate UGMP 359 segment 3, complete sequence GTATATATTCCTTCGCGATGGCGCATGCGGATGCTAAAGGAAGTGATCCGGAGAGAGAGGCGTTGAGGAA GAACCCTTATCTAGATGGAGACGTCTTGGGAACCGCAGGCGGCCAAGTTTTGTCGGTTTTCGCATTGACC GAAATTTTACAAAAAGTAAGACAGACGCAAGCTGAACTGGCCGCACACGCAATCGATTTGGATGGACCAG TCCCTGAGATCACCGGGGTTATTAAGAAGATAGCGGAGTTAGTTGACACCGTTCCATATGAAGTGCGCGA TTCACCACCTATAAGCTATAAGACTTTAAGCATGCAATCGCGCGACTTTGTCATCCAGGTGGACCAGTAT TACGAACAGATTTCGCAAATTGGAGGAGACGTCGGGGAGGACGAGCCGATGGAGTTCTATAAAACAATGC TAGAAAAGGTACGCTATTTAAGGAAGAGTGGAGCATTCATTTTGAGAGGTATTAAAACACGAGACTATAG GGGTAATGAAGTGGCGGAACCAGAAGCTTTAGGAGTCGAATTTCGTGAAGTACTTTCTAATTTTATTGCG GCGGATAGACAAGTGATACAGAATGCGTTAGATGCAGCCATAGTTGAAAATGGCCAGGTGGGTGATAGGG CGGTCGATGTTTATATGGCTGCTGTTTCTGAGCCATGGTATCGAATATATAATAGGTTACAGGCGTATAT TGAAGTTACGCAACTGAGAGAATTGAGGCGCGCAATGGAGTGGCTGAATGCACTTGGTCGTCGTAAGAGA GTGGAGTATGATGATTCATTCTTGACCGATTTTCGAGCGAGAGATACGGTATGGGTGCAGACGCAACAGC TTCCCGTTAACGCTCGTGTGATCTGGGAGGTTCCGAGGTCATATATAGCTAATTTGATGATGAATATCGC GTTATGTCTGCCACTAGGTGATTTCATAGCCCCAAACCCGAGGATTGGGTCGATAACGATAACCCAGCGA ATAACTATGACTACGCCTTTTGGGATGATGTCTGGGATGACCCCCACATCAATGCAGATGGACGATGTCA AGAAGATATATCTCGCGTTGCTCTTTCCCGGGCAGATCGTTTTGAATATTAAACCCGACCCAGCGCACTC CATCGATCCGGTACTGCGTATGGTTTCGGGTGTGTTGGGGCATTTGATGTTCACCTACGGTCCCAGATTT ACTAACATAACAGCTACAACATCGCAGTTGCTAGATAGTGCCTTGAGCGACTATTTTCTGTACATGCAAA ACAGTAGAGTTCCGGTGGTGTACGGACCAACTGGGTTACCTTTGGATTTTAGAATCGGTGGACGACAAGG CTATGATTGCAATAATCTGCGGGGAGACCCGCAGACTGGGAGGGGGTACAATGGATGGGGAGTCGTTGAC GTCGATCGAAGAGCACCCAGTCCGTACGATTTGGTTCAAAGATTTATACGTTACTGCAACATAGACTCTC GCGAGATCATCGACCCACGGACGTTTGGATTTAATATGAACTATCCGCTATATATGGAGATGATACGTGC ATTAGTTGCCGGAGGAAAAGATCAGGAAGCGGCGTACCTACGACAAATGTTACCTTTTCACATGATCAGA TTCGCACGGATCAATCAGATAATAAACGAAGACTTACTTAGCGCGTTTTCCTTACCAGATGAGGATTTCG ACGCATTATTTTTCAATATGCTGCGCGGCGAGTATGGAAAGGCTGAGCCGATCGTTTTAGATATCAGTTG GGCTTCAATTTGGTTTGCGTTCAACCGCTACTTTGACCCAGTCCAAAGGTCAGATCTATTATCAGTGGCA CCCATGATTGAGGCTGTCTATGCGTCAGAAATCTCCATTTTGCAATTGGATATGATCAACCTGCAGCAGT TGAGAGCGAGGGCACCTGATATGTTGATTAACGCAACTCCGAGTCAGTTTTGGAAAGCGGCGTTAGCATC CGCAGCAGAACCAGTAGTTGAGTTGATGAATCTTTCGCAGAGTTTTCGATTCATTAACGTCAGGGATATA ATACAGTGGACTAGAACACGAGAAGTGCAACCGTCGCTGGCTCTCACTTTGGAACGAGAGGCGTGGGCGG TCGCAGCTGACTTCGAAGAGTTGATGCTCGTAAACCATGTCTATTTTCATAGATCGGTGGTTCCCGAACC ACAGTTGGATGACATCGATGAATTTCGTAGGCAAGGATTCCTGTACACAAATCTATTGGAAGCGGCCCCC CCGCGTTTGTTAATCACCAATTATGATTACAACGTTGCGCTACTGCAGGCGAATCTTGGACAATTTAAAT CCGCTTTGAGGAGAATTCTGGATGACGGTGGTTGGGTGATGTTCGGGGGAATGCTGAGAAATGTTCGTTT GAAAATATACGATTCAAAGCCGGGAGAGGACGTCTTAAGCGAACTACCCTATCTTTACTCCGAGAAAGTG GAAAACGGTTTAAGGTTTGTGTCTTTGAAGTATGCGAGACGAGCAACTATTTATTTTTTAATGTATAAGG TTGAATATTCAAACACACCAGATGCTTTAATATCAGTCAACCCCACGTATACCATGACGAAGATTTATAC AAACAAGAGACTGGTCCGGAAAGTCAGGTCACCTGACGTTTTGAACATCGTTAATAAAAGAGTAGTGGCT TATAAAACGAAGATGCGGTTGATTGACATTACATCGGCACTGCGTCTTGGTGTTAAACTTGCAGCACCTA CAGTGTGAATTGACCACTCAACCTGTGGTGCTCGGTGGGGAATTCGCTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610678.1.fa ================================================ >JQ610678.1 Orungo virus isolate UGMP 359 segment 4, complete sequence GTATATTTCGAAATGGAGCCCTTTGCTGTGCTGCACCTATCAGCCAAGCTGGCACCGCTGGTGCGTGAGG GATTTATCCCGTATGTGGACTTGGATAATATTAAGACGTTGAATGACCTCTGGATTGAGATTGGCAAATG CTCATCTGATGTATATGCGGTTGGACGAATAAATAGGTGGACGATACGTCAGCTACGTGCGTATAGATTC ATATTCGTGTCGGAGAAGAGAACAATAACGTTGAAGGATATTAAGATCACACCTGACGTGCCAATAAGAT GCGCGGATGGGCTAGACTTAAAGTTACTTGAGACTACAATAGGACGTAAAAGATTAGTGTTGCGAAAGAC GTTTGGAGACATACTGCGAAAATATGCGTTAAGCCAGTCGGTACACTTGCATGGATCTGAGGCAGAAACC TTGAATATGGCGGACCCTACCATACATCACGTGAAGGGGTTACCAATGATAGCGCCAAATCATTTAAATC CAACGAAACCATGGAGTGATCTGGACGACACAGAAACCGATGAAAAACTAGTGTCAATGCTAGATTACGC GATGTATAGCGCGCAAGAAGTGCATTATGTTGGCTCGGGAGACGGTAGAACGATACGGCTGTTTGCAAAG AGGGACAAAAAGAGATTTGATAGAGCGAAGTGGGTGTGCTATGACCCTATTATGACTGATATTGGATTGA CAAATGTGATAGCTGTTAAACACTATGTCAATACTTTCAGGGATATGCTACCGTATTTAAATACTGGCGA CCGAGTTGAGAGATTACTATTGTGGGACGTAAGTGGAGATGCGGCGAAACATGATCGGTTTTGGGAAGCT CAGAGGACTGAGGAGGACCGGCGGGGAGAATCAGTTGCCGTGTCTTTAACGGAGTACTTCGCCTTGGCTA TTATCAAACATAGAATTCCAATCTATGAGGAAAAGTATAGATGCACCACTTCGTGGATTGTACCGCAGCC TGGCGCGGTCCGCGAGATGTACGAGATGAGGAATATCATACTGTTGAACGGTTTTTCTAGGGTAAATCGA GCGCATATCCCCCAGGCAGGCGTAATGGAGATTGAGGCTGATGTGTTACGTGAGATGGTGAGGAACTTCC ATGGAGCTGGTCGCGGTCGGCTGCTGAAGAAATCGCTTTATGAGAGTCTACATATCCATCAAGTTGATGG ATTGGAGGATTCGGAAGACGGAGCGCGGAGCGATCTCTTTTATTTAACCAACCAACGTAATGTTAATTCA ATACAATCAATCAGACGAGTTTTGGGAAATAGCACGGTGTCGACTTTATGGGTGTCAAGGGAACGAGTTT TCGAATATGATGACTTTAATTTTGACCGATCAGCGTTGATGCTCTGGCACAGGGGTAGAGAGCACTTACT ATTTGATGGCAACGGCGCGGTTCTATATTTGATGTGGCAGCACGGAGATAGATATAGAAAGGATGTGAAC TATGATCCTTCGTGGGCCGAACATTTTGCAGTATTGATCCGAGAGCCACAACCTTGGCGACCAGTTCCAG ATCTGTCCCTCTGCCGTTTTATTTCGCTAAGACGGGTGTCGACGGTTATTAGAATACGAGGCGATATTCA CAGGAAAAGTGATCAGGTAAAGCGTTTAGGGTTAGATTTGTCAGGACATCTGTTCGTAACGTTAATTTCT GGAGCGTATCTTGCCGATTTAAGATGGTGGTTCCGGATGATCATCCAATGGTCAAAGCAGCGTAGACAGG AAAAGATAGACGATTTGGCTAAGGTTAACGCTGAAGTGGTTGAATGGAAAGAAGAGAAAGCCGACGAACC GTGGCATCGCAAGGAGGACCTGATCGCTGCTTTAATCGCGGCAAAAAGTATCACCGGTGATCAGCATATA GATGGGTGGATTGCGGAGCTGAGGGATATGGAATGACATCCACCCGAGGGGCAATCGAACTACCTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610678.1.fasta ================================================ >JQ610678.1 Orungo virus isolate UGMP 359 segment 4, complete sequence GTATATTTCGAAATGGAGCCCTTTGCTGTGCTGCACCTATCAGCCAAGCTGGCACCGCTGGTGCGTGAGG GATTTATCCCGTATGTGGACTTGGATAATATTAAGACGTTGAATGACCTCTGGATTGAGATTGGCAAATG CTCATCTGATGTATATGCGGTTGGACGAATAAATAGGTGGACGATACGTCAGCTACGTGCGTATAGATTC ATATTCGTGTCGGAGAAGAGAACAATAACGTTGAAGGATATTAAGATCACACCTGACGTGCCAATAAGAT GCGCGGATGGGCTAGACTTAAAGTTACTTGAGACTACAATAGGACGTAAAAGATTAGTGTTGCGAAAGAC GTTTGGAGACATACTGCGAAAATATGCGTTAAGCCAGTCGGTACACTTGCATGGATCTGAGGCAGAAACC TTGAATATGGCGGACCCTACCATACATCACGTGAAGGGGTTACCAATGATAGCGCCAAATCATTTAAATC CAACGAAACCATGGAGTGATCTGGACGACACAGAAACCGATGAAAAACTAGTGTCAATGCTAGATTACGC GATGTATAGCGCGCAAGAAGTGCATTATGTTGGCTCGGGAGACGGTAGAACGATACGGCTGTTTGCAAAG AGGGACAAAAAGAGATTTGATAGAGCGAAGTGGGTGTGCTATGACCCTATTATGACTGATATTGGATTGA CAAATGTGATAGCTGTTAAACACTATGTCAATACTTTCAGGGATATGCTACCGTATTTAAATACTGGCGA CCGAGTTGAGAGATTACTATTGTGGGACGTAAGTGGAGATGCGGCGAAACATGATCGGTTTTGGGAAGCT CAGAGGACTGAGGAGGACCGGCGGGGAGAATCAGTTGCCGTGTCTTTAACGGAGTACTTCGCCTTGGCTA TTATCAAACATAGAATTCCAATCTATGAGGAAAAGTATAGATGCACCACTTCGTGGATTGTACCGCAGCC TGGCGCGGTCCGCGAGATGTACGAGATGAGGAATATCATACTGTTGAACGGTTTTTCTAGGGTAAATCGA GCGCATATCCCCCAGGCAGGCGTAATGGAGATTGAGGCTGATGTGTTACGTGAGATGGTGAGGAACTTCC ATGGAGCTGGTCGCGGTCGGCTGCTGAAGAAATCGCTTTATGAGAGTCTACATATCCATCAAGTTGATGG ATTGGAGGATTCGGAAGACGGAGCGCGGAGCGATCTCTTTTATTTAACCAACCAACGTAATGTTAATTCA ATACAATCAATCAGACGAGTTTTGGGAAATAGCACGGTGTCGACTTTATGGGTGTCAAGGGAACGAGTTT TCGAATATGATGACTTTAATTTTGACCGATCAGCGTTGATGCTCTGGCACAGGGGTAGAGAGCACTTACT ATTTGATGGCAACGGCGCGGTTCTATATTTGATGTGGCAGCACGGAGATAGATATAGAAAGGATGTGAAC TATGATCCTTCGTGGGCCGAACATTTTGCAGTATTGATCCGAGAGCCACAACCTTGGCGACCAGTTCCAG ATCTGTCCCTCTGCCGTTTTATTTCGCTAAGACGGGTGTCGACGGTTATTAGAATACGAGGCGATATTCA CAGGAAAAGTGATCAGGTAAAGCGTTTAGGGTTAGATTTGTCAGGACATCTGTTCGTAACGTTAATTTCT GGAGCGTATCTTGCCGATTTAAGATGGTGGTTCCGGATGATCATCCAATGGTCAAAGCAGCGTAGACAGG AAAAGATAGACGATTTGGCTAAGGTTAACGCTGAAGTGGTTGAATGGAAAGAAGAGAAAGCCGACGAACC GTGGCATCGCAAGGAGGACCTGATCGCTGCTTTAATCGCGGCAAAAAGTATCACCGGTGATCAGCATATA GATGGGTGGATTGCGGAGCTGAGGGATATGGAATGACATCCACCCGAGGGGCAATCGAACTACCTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610679.1.fa ================================================ >JQ610679.1 Orungo virus isolate UGMP 359 segment 5, complete sequence GTAAAAAGAATCCTCTGCGTTCACTGGGCACGAACATGGATCAATTCTTGGATTCTTTTGATGTGACTGG AGACGAGGCGAATGCCTTGAGATTATTGAGAGCGGTTTCACCTGAGATGACATGCTCACATTTGAGGAGA GATTGTTTAATTGGAGGGATATGCGCAAAACAGTTTTTCAACGAGGTGCTGATGGCCATTCTGGATTCAA AAGATCGTCAGGCAGCGCGTCAGCTGGTGACATTAGCTGTGATGACCAGTTACGACCGAGAGCTAATCTG GCTCAACGTACTAAGGTCAACTGAAGTGCTGCCGGCAAATGATTATGCACATGAAATACAGAATGTGGTT CTGAACTTGAAGAGGGTCTTCATAGAGAGTGGGTTGGAAGAAAAATACAAGAGTTTCAGGGCGAAGCGGC GTCCAAACAGATCTCCGACCGAGGATGCTTTCTCTTTTTTGCCCTTTTTCTACATACCCATGAATGAAAC AAAACGGGTTGGAATAAAGAAACTCACTAGAGTTCGGAACCTAGGTGTTGCTTTTGTTGATAGACGCGAA GTGACGCATCATTTACCGTTCACGGTGGACGCTGCTAGAAGGGACCTTATGATGCTGAGAAATTTCACGC TGGAGCACCAAAGAACATGTACGTTTACGGGTTCAAAGAGCTTGATACATGGGATGATATTCTGTCCTGA GGAGATGGAACCTCTTTTCCAGAAGAAGGAGACAGCGCTAGAAATCTACAGAATTTGTGAGCAGGATATG AAGTTTATCAACTCAAGAGGTACGATGTCATTTCCCCGGTTTTTGATGCAACGTTTAGCGGTGAAAAACG CTTCATCTGATGCGATGGACCAGGTTATGTTGGGACGAACTCCGAGCGATGGACGTTTGATGTCGGTGAC TGGTGCCTCTTTCTTTTTTGGAGGGGGACCTGATTGGCGCAAGTGGGCGATGCCGGCGTTGTTGGTACGT GCTGCAAGACTGAGAACCGTCGTGACATCATTCGTTAAGGAGTGGTTTGATTCGACTCACACATGTCAAG TCTGTTTCCTAGTTGAAAAAGGTGTCGCCGATTCAATTCCGATCACTGATGTTCGTTTATCGGATGTGTG CGGCGTAGGACCAGTCGCATATGTTAGATCTTATGCACATGATGACGGGAACGCGCCGGATGTTCGCGTA CTGAGAAAAGGTGAAATCTTCAGATTGATGGGCGGACATTATGTTATGCAGACAACGGCGAGTACAATGG AATCATTGGTCGTTGCCGCGAAGGAGATGCAGCGTTTGGTTCGCGGCGATGGTTTTTGGGACACACCGTA TTGGGGTTTAAGCATGGCAAACCTTTGTAAAATCATGTTTCATGAAAACCCAGCAAAGGAACAGATTCAT TTCATGATTAAGCTCATAACCTTTGGGATGTTTGGTGGGGTTCAAAGGCACAATGGACTGTTCACAGACT GGGACAATTTGGAGGAGTTCTTGAAGAGGATGTTTTCTACGGAGGAGATGGGCGTTCGTATGTATGAGTC AAGTTACCATGCGATACTTCGTGCGTGCATACTACATCTACAGACCACTGCGAAGCCTACCCTCGTTCAA CTAACTCACGCGATCGAATCACTCGACCTTGGAATAGAAGAAGTTCCTTTCAATTTTTATGTCTAAAACA TCATAATAAACCATAAAGAGTCTGAGTAATTGTATCCCTGAGCTCTTACTCTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610679.1.fasta ================================================ >JQ610679.1 Orungo virus isolate UGMP 359 segment 5, complete sequence GTAAAAAGAATCCTCTGCGTTCACTGGGCACGAACATGGATCAATTCTTGGATTCTTTTGATGTGACTGG AGACGAGGCGAATGCCTTGAGATTATTGAGAGCGGTTTCACCTGAGATGACATGCTCACATTTGAGGAGA GATTGTTTAATTGGAGGGATATGCGCAAAACAGTTTTTCAACGAGGTGCTGATGGCCATTCTGGATTCAA AAGATCGTCAGGCAGCGCGTCAGCTGGTGACATTAGCTGTGATGACCAGTTACGACCGAGAGCTAATCTG GCTCAACGTACTAAGGTCAACTGAAGTGCTGCCGGCAAATGATTATGCACATGAAATACAGAATGTGGTT CTGAACTTGAAGAGGGTCTTCATAGAGAGTGGGTTGGAAGAAAAATACAAGAGTTTCAGGGCGAAGCGGC GTCCAAACAGATCTCCGACCGAGGATGCTTTCTCTTTTTTGCCCTTTTTCTACATACCCATGAATGAAAC AAAACGGGTTGGAATAAAGAAACTCACTAGAGTTCGGAACCTAGGTGTTGCTTTTGTTGATAGACGCGAA GTGACGCATCATTTACCGTTCACGGTGGACGCTGCTAGAAGGGACCTTATGATGCTGAGAAATTTCACGC TGGAGCACCAAAGAACATGTACGTTTACGGGTTCAAAGAGCTTGATACATGGGATGATATTCTGTCCTGA GGAGATGGAACCTCTTTTCCAGAAGAAGGAGACAGCGCTAGAAATCTACAGAATTTGTGAGCAGGATATG AAGTTTATCAACTCAAGAGGTACGATGTCATTTCCCCGGTTTTTGATGCAACGTTTAGCGGTGAAAAACG CTTCATCTGATGCGATGGACCAGGTTATGTTGGGACGAACTCCGAGCGATGGACGTTTGATGTCGGTGAC TGGTGCCTCTTTCTTTTTTGGAGGGGGACCTGATTGGCGCAAGTGGGCGATGCCGGCGTTGTTGGTACGT GCTGCAAGACTGAGAACCGTCGTGACATCATTCGTTAAGGAGTGGTTTGATTCGACTCACACATGTCAAG TCTGTTTCCTAGTTGAAAAAGGTGTCGCCGATTCAATTCCGATCACTGATGTTCGTTTATCGGATGTGTG CGGCGTAGGACCAGTCGCATATGTTAGATCTTATGCACATGATGACGGGAACGCGCCGGATGTTCGCGTA CTGAGAAAAGGTGAAATCTTCAGATTGATGGGCGGACATTATGTTATGCAGACAACGGCGAGTACAATGG AATCATTGGTCGTTGCCGCGAAGGAGATGCAGCGTTTGGTTCGCGGCGATGGTTTTTGGGACACACCGTA TTGGGGTTTAAGCATGGCAAACCTTTGTAAAATCATGTTTCATGAAAACCCAGCAAAGGAACAGATTCAT TTCATGATTAAGCTCATAACCTTTGGGATGTTTGGTGGGGTTCAAAGGCACAATGGACTGTTCACAGACT GGGACAATTTGGAGGAGTTCTTGAAGAGGATGTTTTCTACGGAGGAGATGGGCGTTCGTATGTATGAGTC AAGTTACCATGCGATACTTCGTGCGTGCATACTACATCTACAGACCACTGCGAAGCCTACCCTCGTTCAA CTAACTCACGCGATCGAATCACTCGACCTTGGAATAGAAGAAGTTCCTTTCAATTTTTATGTCTAAAACA TCATAATAAACCATAAAGAGTCTGAGTAATTGTATCCCTGAGCTCTTACTCTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610680.1.fa ================================================ >JQ610680.1 Orungo virus isolate UGMP 359 segment 6, complete sequence GTATAAAATACCTCGGTCATCATGGGCAAATTCGTAAAGGCCCTGAAGAAAATAGGAAGGGGTACGGTGA AGGCACTGACGTCTGACGCTGCAAAGAAACTTTATACGACTTTAGGAAAGGCGGCGACGCGGTTTGCTGA AAGCGAAGTCGGCAGCGCGGCGATTGATGGATTGATACAAGGAACAGCGCAAACTTTACTGCACGGAGGC AGCGCGAGTGAAAATATCAAGCAAGCGGTTGTTTTAGGTGTTCTCCACAGCATGGAAACGCCGGCGGACC CTTTATCACCAGGAGAGCAAGGAGTATATGATAAGATTAAGGAAATTAAACGAGAAGAAAAGGAAGATCG GTTTTTCGAGGTTTACCAAGAAAAGATTGACGAAGAGCTTGGTTCAGATATGAAGCGAATGCGAGAAGTG GCAAAAGGTGATAAGCAGGCCATCAAGGAAATGGGTGGTGAAATTAAGGTTATCGAGAAAGCTTTCGATG GATTGATTAAAATAGATAAAATTCAAGATATGAAATTAACGCAGTTATATGGCGCGCTCGCGAAAGAGCG TACGGAGCGTACGCAGGACGAGATCAAAATGGTTAACGACTACACTGGAAAAATTGAAGCACTGCAATCC GCGATAACAGTTGAGCGGGACGCTATGCAAGAGGAGGCGTTGCAGGAGATAATAGAAATGGGAACGGATG TAATTGAAACCGCCTCCGAAGAGGTTCCGATATTCGGCCCTGCGGCTGCGAATGTAGTCGCAACTGGACG AATGGTTGAGGGCACCTTAAAGTTGAAGCAAGTAATCGAGAAATTAGCAGGGTTAGATGTTTCGCACACC ACAAGGGACAGAATCGAGCCGAAAGTTATAAACGCTATACTAGATCACGAGGGGGGCGTCGTACCGGAAA AGGAACTAGCGATTGGTGTATATAATAAGCTGCAGACAGTCAGAGAACATATGGCGGAACACAGCCATCT AAAGGAAATGGCAATACCAAGGCTGCAAAAGCTGTACACAGAACACGGCGATGAGTGGCATCCAAAGATA ATTACTCAAATGAAGGTAGCGAGAGAACATCAGCCGCAAATACATATATATTGCGCTCCATGGGAATCGG ATGACGTGTTTATGTTGCGAGTGTACGCGCCGCATCATATAGGGTGTGGTCTTTTCTTAGGAGTTGATTT AGAGAGTGAATTCATATTTTATGAGGATTTGATAGCAGAGAACCACGTATTGCGTGGTGGCGTCATTGAA GTCGTTGGAAGGAACTTCAGGCAAGCAGTGCGCGAATTTCTTTTGATGGCTGCGAGCAAGATTGAGAACA CTATGCATGTCAAGCGGTTAGTGAGAAGCTCGGCTTCCTCACCTATCTACTTGTCAAGCATACACTATGA GTGTACATTTGATGAGATAAAACAGAACGTTTTACAGATCGTGCACGACGAGCAGTTACAGATGCATCTG TTACGTGGTCCGAAACATTTCCAAAGACGTGCTCTGATGGCGGCTGTTGTTAAGGGTGTTAAGATCTTAG AGGGGCCAGATACGAAGGCGCTCATGCTACAGGGTTTGTAAGTGGCTGAAAGGTATCAAGAATAC ================================================ FILE: tests/input/TestFastaFetch/JQ610680.1.fasta ================================================ >JQ610680.1 Orungo virus isolate UGMP 359 segment 6, complete sequence GTATAAAATACCTCGGTCATCATGGGCAAATTCGTAAAGGCCCTGAAGAAAATAGGAAGGGGTACGGTGA AGGCACTGACGTCTGACGCTGCAAAGAAACTTTATACGACTTTAGGAAAGGCGGCGACGCGGTTTGCTGA AAGCGAAGTCGGCAGCGCGGCGATTGATGGATTGATACAAGGAACAGCGCAAACTTTACTGCACGGAGGC AGCGCGAGTGAAAATATCAAGCAAGCGGTTGTTTTAGGTGTTCTCCACAGCATGGAAACGCCGGCGGACC CTTTATCACCAGGAGAGCAAGGAGTATATGATAAGATTAAGGAAATTAAACGAGAAGAAAAGGAAGATCG GTTTTTCGAGGTTTACCAAGAAAAGATTGACGAAGAGCTTGGTTCAGATATGAAGCGAATGCGAGAAGTG GCAAAAGGTGATAAGCAGGCCATCAAGGAAATGGGTGGTGAAATTAAGGTTATCGAGAAAGCTTTCGATG GATTGATTAAAATAGATAAAATTCAAGATATGAAATTAACGCAGTTATATGGCGCGCTCGCGAAAGAGCG TACGGAGCGTACGCAGGACGAGATCAAAATGGTTAACGACTACACTGGAAAAATTGAAGCACTGCAATCC GCGATAACAGTTGAGCGGGACGCTATGCAAGAGGAGGCGTTGCAGGAGATAATAGAAATGGGAACGGATG TAATTGAAACCGCCTCCGAAGAGGTTCCGATATTCGGCCCTGCGGCTGCGAATGTAGTCGCAACTGGACG AATGGTTGAGGGCACCTTAAAGTTGAAGCAAGTAATCGAGAAATTAGCAGGGTTAGATGTTTCGCACACC ACAAGGGACAGAATCGAGCCGAAAGTTATAAACGCTATACTAGATCACGAGGGGGGCGTCGTACCGGAAA AGGAACTAGCGATTGGTGTATATAATAAGCTGCAGACAGTCAGAGAACATATGGCGGAACACAGCCATCT AAAGGAAATGGCAATACCAAGGCTGCAAAAGCTGTACACAGAACACGGCGATGAGTGGCATCCAAAGATA ATTACTCAAATGAAGGTAGCGAGAGAACATCAGCCGCAAATACATATATATTGCGCTCCATGGGAATCGG ATGACGTGTTTATGTTGCGAGTGTACGCGCCGCATCATATAGGGTGTGGTCTTTTCTTAGGAGTTGATTT AGAGAGTGAATTCATATTTTATGAGGATTTGATAGCAGAGAACCACGTATTGCGTGGTGGCGTCATTGAA GTCGTTGGAAGGAACTTCAGGCAAGCAGTGCGCGAATTTCTTTTGATGGCTGCGAGCAAGATTGAGAACA CTATGCATGTCAAGCGGTTAGTGAGAAGCTCGGCTTCCTCACCTATCTACTTGTCAAGCATACACTATGA GTGTACATTTGATGAGATAAAACAGAACGTTTTACAGATCGTGCACGACGAGCAGTTACAGATGCATCTG TTACGTGGTCCGAAACATTTCCAAAGACGTGCTCTGATGGCGGCTGTTGTTAAGGGTGTTAAGATCTTAG AGGGGCCAGATACGAAGGCGCTCATGCTACAGGGTTTGTAAGTGGCTGAAAGGTATCAAGAATAC ================================================ FILE: tests/input/TestFastaFetch/JQ610681.1.fa ================================================ >JQ610681.1 Orungo virus isolate UGMP 359 segment 7, complete sequence GTATAAATATCTAGAGATGGACGCCATTGCGGCACGTGCTCTGTCCGTGATCCAGGACTGCATTAGCGTT GGTGATGGGAGAATTAATTTAGACCCTGGGGTCATGGAGAGATTGGGAATTGCTATTAATAGATACAATG GGCTAACGAACAATGTGGTGACGATCAGACCAGGGACACAAGATGAGCGGAACGCGATGTTTTTTATGTG TCTGGATTTCGCGTTGGCGGCATTGAACATACAAATTGGGGTTATATCTAGGGAATACACGCAGGCGCTG GCCACTATCGGTGTGCTGGCAACGGGAGAAATCCCTTACTCGGTTGCCGCTATGGATACGATTGTACGGA TTAGCGGAACGATGGCGACATGGGGTCCCACCGAATATGAGTTACCGCCATATGCGCGGTCTCAGATGAT ACAAATGAGCGGACGTTACTACGTTCCAGCGGGGGCGAATTCACATGCTGCCCATGTCGATCCCACGACG GTAGAGATTTCTTTAGCTGCTGGAGTAGTAGTGAATGTTACGAACGCGTTACAGCCTAGGGGCGTTGCGC CCACAATGATGTACATGGTATGGCATCCGTTGGCGATTTTCGCGAATCCTCAGGGTGCTACAGCTGCTTC GCCTCAAAATATGACTTTGGTGGTTGGTGGGCTGAATATAGCAGCTGGCACGATCATCGCTTGGGATACC GTCGCTCCTATACAGCTATCGAATCAGGGAGGACAAGAGGGAATGATCGCGATCCGGATACTATGGATGA CAACATTAGATAAATCTATGACAAGCTTGCCGGAGATGCGTGAAATAATCTCAAGATGCTATAGCTTTAT GCACCCTTCATGGCACGCGCTGCGAGGGACGGTCCTACATTCGCTTAATCTGCCGACTAATAATCCACCT ATGTTTGCGCCTGCTACGCGACAGGAGGCATTGGCGTACTTAATTCTGGCAAATTTAGCGGATGCATATA CGTCGTTAAGGCCTGATTTCACCATACAAGGAATGCTCGCGGTTCCACAGGTCATTGACAGGCAGTTCGT TCAGGGTGCGTACAGGTAGAGGACGCCTTCCACAGTGGGCGTCTCATGTAGCCCCAGCGTCGGTCCCTTA CGTGTGCTGTAACGCGTAGGTAGAACGTCATATGATATTAAGTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610681.1.fasta ================================================ >JQ610681.1 Orungo virus isolate UGMP 359 segment 7, complete sequence GTATAAATATCTAGAGATGGACGCCATTGCGGCACGTGCTCTGTCCGTGATCCAGGACTGCATTAGCGTT GGTGATGGGAGAATTAATTTAGACCCTGGGGTCATGGAGAGATTGGGAATTGCTATTAATAGATACAATG GGCTAACGAACAATGTGGTGACGATCAGACCAGGGACACAAGATGAGCGGAACGCGATGTTTTTTATGTG TCTGGATTTCGCGTTGGCGGCATTGAACATACAAATTGGGGTTATATCTAGGGAATACACGCAGGCGCTG GCCACTATCGGTGTGCTGGCAACGGGAGAAATCCCTTACTCGGTTGCCGCTATGGATACGATTGTACGGA TTAGCGGAACGATGGCGACATGGGGTCCCACCGAATATGAGTTACCGCCATATGCGCGGTCTCAGATGAT ACAAATGAGCGGACGTTACTACGTTCCAGCGGGGGCGAATTCACATGCTGCCCATGTCGATCCCACGACG GTAGAGATTTCTTTAGCTGCTGGAGTAGTAGTGAATGTTACGAACGCGTTACAGCCTAGGGGCGTTGCGC CCACAATGATGTACATGGTATGGCATCCGTTGGCGATTTTCGCGAATCCTCAGGGTGCTACAGCTGCTTC GCCTCAAAATATGACTTTGGTGGTTGGTGGGCTGAATATAGCAGCTGGCACGATCATCGCTTGGGATACC GTCGCTCCTATACAGCTATCGAATCAGGGAGGACAAGAGGGAATGATCGCGATCCGGATACTATGGATGA CAACATTAGATAAATCTATGACAAGCTTGCCGGAGATGCGTGAAATAATCTCAAGATGCTATAGCTTTAT GCACCCTTCATGGCACGCGCTGCGAGGGACGGTCCTACATTCGCTTAATCTGCCGACTAATAATCCACCT ATGTTTGCGCCTGCTACGCGACAGGAGGCATTGGCGTACTTAATTCTGGCAAATTTAGCGGATGCATATA CGTCGTTAAGGCCTGATTTCACCATACAAGGAATGCTCGCGGTTCCACAGGTCATTGACAGGCAGTTCGT TCAGGGTGCGTACAGGTAGAGGACGCCTTCCACAGTGGGCGTCTCATGTAGCCCCAGCGTCGGTCCCTTA CGTGTGCTGTAACGCGTAGGTAGAACGTCATATGATATTAAGTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610682.1.fa ================================================ >JQ610682.1 Orungo virus isolate UGMP 359 segment 8, complete sequence GTAAAAAATCTCCTCTCTTTTCACGATGGCTCAAGAAGTTAAGAGAAAGTTCACTAGAACAGTGTGCATC TATGATCCACAAAATCGCACATTCTGTGGTCGAAGTGCCGCGATGGTGTGTAACAGTTATTATACAATTA AAATGGGTAGAACGACGCAGTGTGGAGTGTCGCCGGTGCCCGTACCAAAGTCATATGTGCTAGAGATACC GGATGTTGGCTCTTATCGCATCTTAGATGGGCAGGATTCAATCAGTGTCATCGTTACTGAGACGGGCGTC GAGGCAACGTCTGAGAGGTGGGAAGAGTGGAAATTCGAAGGCGTTAATTGCGTTCCGATGGTTGTTCAAA CGGAGATTGGGAAAGGCCTGATTGACATGGAGATCAAGTTTAGTAAGGGAATGGGGCTCGTTAAACCTTA TGTAAAGAATGAGGTTAGCAGAACTGAGATCCCACGGCTACCGGGTGCTTCAGTCATTGATACACCGATA CGCGATTACCGTCAACTTTTGAAGGATCAGAGAGATGAAAGAAGGGCGGCGCTCGATGCGATCGCATGCG ACATATGTCCCACTCTATCAAGAATGCTAGGGGCGAATATTACAGACGGATCGCCACAAGTCGAAGAAGT CGCAACACGGCCAACACAACCTCCAGCTCAGCTGAAGCTGGATGTGCCTAACTGGGACCAACCGACTGAT TCAGATGATGAGGATGAGGAATCCAAGCGCGTGACAACGCAAAGTAATGCTGATACTGAGGAACAAGTGA CTTTCGAAGATTGCATTACCGATCAATACTTTTCGAAAACGGGTGAATTCGCGAAGAAGTATCCTGAAAT GTTAGCGGGACTTTCCGCGAAGATGCCGAGTGAAACAGGTAGGTTTACAAAAATATTGACGACGAGGAAG GCTCAATGGAATAACGTTCCTCTTTTCGAATTAGATCCAAACGGGTTTACATATCATTTTAGTAAGCTGG GTAATTCGACGAGGATCTTCTGTGTCCAACGTGATTTGAGCTACATGGTTTTACCCGCAGGGCAAGGCCT GAAGTAGCGGTGCATGTAGCCGGGAGAGGTACAACTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610682.1.fasta ================================================ >JQ610682.1 Orungo virus isolate UGMP 359 segment 8, complete sequence GTAAAAAATCTCCTCTCTTTTCACGATGGCTCAAGAAGTTAAGAGAAAGTTCACTAGAACAGTGTGCATC TATGATCCACAAAATCGCACATTCTGTGGTCGAAGTGCCGCGATGGTGTGTAACAGTTATTATACAATTA AAATGGGTAGAACGACGCAGTGTGGAGTGTCGCCGGTGCCCGTACCAAAGTCATATGTGCTAGAGATACC GGATGTTGGCTCTTATCGCATCTTAGATGGGCAGGATTCAATCAGTGTCATCGTTACTGAGACGGGCGTC GAGGCAACGTCTGAGAGGTGGGAAGAGTGGAAATTCGAAGGCGTTAATTGCGTTCCGATGGTTGTTCAAA CGGAGATTGGGAAAGGCCTGATTGACATGGAGATCAAGTTTAGTAAGGGAATGGGGCTCGTTAAACCTTA TGTAAAGAATGAGGTTAGCAGAACTGAGATCCCACGGCTACCGGGTGCTTCAGTCATTGATACACCGATA CGCGATTACCGTCAACTTTTGAAGGATCAGAGAGATGAAAGAAGGGCGGCGCTCGATGCGATCGCATGCG ACATATGTCCCACTCTATCAAGAATGCTAGGGGCGAATATTACAGACGGATCGCCACAAGTCGAAGAAGT CGCAACACGGCCAACACAACCTCCAGCTCAGCTGAAGCTGGATGTGCCTAACTGGGACCAACCGACTGAT TCAGATGATGAGGATGAGGAATCCAAGCGCGTGACAACGCAAAGTAATGCTGATACTGAGGAACAAGTGA CTTTCGAAGATTGCATTACCGATCAATACTTTTCGAAAACGGGTGAATTCGCGAAGAAGTATCCTGAAAT GTTAGCGGGACTTTCCGCGAAGATGCCGAGTGAAACAGGTAGGTTTACAAAAATATTGACGACGAGGAAG GCTCAATGGAATAACGTTCCTCTTTTCGAATTAGATCCAAACGGGTTTACATATCATTTTAGTAAGCTGG GTAATTCGACGAGGATCTTCTGTGTCCAACGTGATTTGAGCTACATGGTTTTACCCGCAGGGCAAGGCCT GAAGTAGCGGTGCATGTAGCCGGGAGAGGTACAACTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610683.1.fa ================================================ >JQ610683.1 Orungo virus isolate UGMP 359 segment 9, complete sequence GTATAAAACATCCTCCCATGTCATGTTGGTGTTGGCACCGGGTGATCTCATAGACGGAGTGCGTCATCAA TTATCTGAAAGAGGAGTCAGGATTCGTTTACGGGAAACGAATGATGACGAGCAAAAGGATGAACCAGTGG ATACGGGAGGCGGCAAGCCGGGTGATCGAATCGGGAAGGAAGTTGGAAATGCCGAGAGTGAACAGTCTTC CGATAAAGAGAAGAAGGCTGGAGGAAGTTCGGATTCAGAGCTCGGGGAAGGTGGAGATGGAAGGCGACAA ACTGAGAAGGCTGAAGGCGGAGAGAATGGAACTAGAGATATTGGCATTCAGGATAAAGACAAACAATTTG ATCGGCGCGCTAATCCAGATAACGCGTTGGACAGAGAAAATCGATCAGGAGATCCGCAACTTAAATATGG ATTTGCAACCAAACGAATTGCAAACGCCGTTGAGTCAAAGTACCACTGCGGTGGATTTGAGGGGCCAGGA TCGGATGGATACATCAAACTAGAAATGTCAATAATGAAGGCGCTAGGTTTAAACCGAGATGACCACATCG AACAATTGGAGTTCCTCAAGCACCAACAGAAAGGGCCCAGCAAAATTCAAGTCAGAACGATCGCTTCCGA AACCAAATTAAAAGAGGTGTGTAATATAATGGACAAGCCGGTGGCTCCCACAGCGAGAAGTGCGGTGAGT GTAGTTAGTAACCGTGTTGAAGACGTGAAGGAAGCCCAGGTGTATTTTACAACTCCAACAGGAGATAGAG GCTGGAAAGAAGTAGCAAGGAAAGCGAGCCAGACACCAAACATTCGAGCGTACATTAATCCGGAGGGAGA TGATCCTAAAGTCTCATTTCTGCATTTAATCGATCATCTGTGAGGTCACGGTCTGAACTACGGGCATGCT GGGTGTTTCAGTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610683.1.fasta ================================================ >JQ610683.1 Orungo virus isolate UGMP 359 segment 9, complete sequence GTATAAAACATCCTCCCATGTCATGTTGGTGTTGGCACCGGGTGATCTCATAGACGGAGTGCGTCATCAA TTATCTGAAAGAGGAGTCAGGATTCGTTTACGGGAAACGAATGATGACGAGCAAAAGGATGAACCAGTGG ATACGGGAGGCGGCAAGCCGGGTGATCGAATCGGGAAGGAAGTTGGAAATGCCGAGAGTGAACAGTCTTC CGATAAAGAGAAGAAGGCTGGAGGAAGTTCGGATTCAGAGCTCGGGGAAGGTGGAGATGGAAGGCGACAA ACTGAGAAGGCTGAAGGCGGAGAGAATGGAACTAGAGATATTGGCATTCAGGATAAAGACAAACAATTTG ATCGGCGCGCTAATCCAGATAACGCGTTGGACAGAGAAAATCGATCAGGAGATCCGCAACTTAAATATGG ATTTGCAACCAAACGAATTGCAAACGCCGTTGAGTCAAAGTACCACTGCGGTGGATTTGAGGGGCCAGGA TCGGATGGATACATCAAACTAGAAATGTCAATAATGAAGGCGCTAGGTTTAAACCGAGATGACCACATCG AACAATTGGAGTTCCTCAAGCACCAACAGAAAGGGCCCAGCAAAATTCAAGTCAGAACGATCGCTTCCGA AACCAAATTAAAAGAGGTGTGTAATATAATGGACAAGCCGGTGGCTCCCACAGCGAGAAGTGCGGTGAGT GTAGTTAGTAACCGTGTTGAAGACGTGAAGGAAGCCCAGGTGTATTTTACAACTCCAACAGGAGATAGAG GCTGGAAAGAAGTAGCAAGGAAAGCGAGCCAGACACCAAACATTCGAGCGTACATTAATCCGGAGGGAGA TGATCCTAAAGTCTCATTTCTGCATTTAATCGATCATCTGTGAGGTCACGGTCTGAACTACGGGCATGCT GGGTGTTTCAGTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610684.1.fa ================================================ >JQ610684.1 Orungo virus isolate UGMP 359 segment 10, complete sequence GTATAAAATTCCGTTCGCAATGTACCGTGACTTGCTGAATATTCACACTGAAATGAGGGGCCCGCCATCT TATGAACCTAGTGGCTTAGCTCAAGCGACAGCACCGACTATGAGGTTTGGGGATAGAGAAGATGAGGAAG GCCTATTGAGGGCGCGCGAGCTTTCGCTTAATGTGTTAACGAATGCTATGACTAATACAACGGGTGCGAA TGAGGCGATTAAGAATGAGAAAGCGATGTTTGGGGCATATGCCGATGCACTTAGGGATACTCCGGAGATT AGGGTGGTGAAAAGGCGGATAAATGAACGTACGTTAGAAAAGTTGCATAAAATGCGACGTTCGCTGCACG GAAGACGAATGTTCGTACGAATGTTGTTGGCGATAAATGTGGGATTGGCGCTATTAACCTCGGCAGTGAA TGTGGTACGCCAGTCGCTAGATGATTTTGGGAAAGAAAGGTGGATAGTTGGTGGAGTGTGGTGGTTAGGT GAGGTCGTCGTTACGATTAATTTTGGAACGACTGTTGCTACGTTGGTATTAATGAGGATACATGGCGCAT TAAACGCGCAGCTTCAAACCATTAAGCGTGACATATATAAGAAAAGCTCGTATAATGAGGCCGCTGCCAT GCATTGGAAAGGTGAAATTAGCTTAATTGAGGAGCTAGCGGCGAGCCACGTACCTGCGGGATCGAATGTC TAGTCCGCGACATCGAAAAATTCACTTGTCCAGGTGAAGCCCGTAGAACGGATCGTCTTAC ================================================ FILE: tests/input/TestFastaFetch/JQ610684.1.fasta ================================================ >JQ610684.1 Orungo virus isolate UGMP 359 segment 10, complete sequence GTATAAAATTCCGTTCGCAATGTACCGTGACTTGCTGAATATTCACACTGAAATGAGGGGCCCGCCATCT TATGAACCTAGTGGCTTAGCTCAAGCGACAGCACCGACTATGAGGTTTGGGGATAGAGAAGATGAGGAAG GCCTATTGAGGGCGCGCGAGCTTTCGCTTAATGTGTTAACGAATGCTATGACTAATACAACGGGTGCGAA TGAGGCGATTAAGAATGAGAAAGCGATGTTTGGGGCATATGCCGATGCACTTAGGGATACTCCGGAGATT AGGGTGGTGAAAAGGCGGATAAATGAACGTACGTTAGAAAAGTTGCATAAAATGCGACGTTCGCTGCACG GAAGACGAATGTTCGTACGAATGTTGTTGGCGATAAATGTGGGATTGGCGCTATTAACCTCGGCAGTGAA TGTGGTACGCCAGTCGCTAGATGATTTTGGGAAAGAAAGGTGGATAGTTGGTGGAGTGTGGTGGTTAGGT GAGGTCGTCGTTACGATTAATTTTGGAACGACTGTTGCTACGTTGGTATTAATGAGGATACATGGCGCAT TAAACGCGCAGCTTCAAACCATTAAGCGTGACATATATAAGAAAAGCTCGTATAATGAGGCCGCTGCCAT GCATTGGAAAGGTGAAATTAGCTTAATTGAGGAGCTAGCGGCGAGCCACGTACCTGCGGGATCGAATGTC TAGTCCGCGACATCGAAAAATTCACTTGTCCAGGTGAAGCCCGTAGAACGGATCGTCTTAC ================================================ FILE: tests/input/TestFastaFetch/orungo.fa ================================================ >JQ610675.1 Orungo virus isolate UGMP 359 segment 1, complete sequence GTATAATTAGGAATGGTCATCACTGTGGAAGGTGCGTGGCTGGTGAGACGGGCGTTGCAACGTTTTTTGA AGTTCAGTAAAATCGACGGGGAATCAGCAGTTTATGAGTTCTATAGGTATTCAAGTAATATTCGTGAAAT AAGAAGGAAGCATGGGACGCGTTATAAAATGCATGATGAAGAGTTGGAGCGGAGGCGTGATTCGGGCAAA CTGCGTTTTAAAGGTATGCAAGTTGTGGTAGAGTCGACTTGGATGGAGATTTTAGGGAAGGGACGTACGA CGGACGAAATCGAGATATTCAGAAGTTCGATTTTATCGTTGGATGAACTGAATCCGGAAGAAGAATTTCT GCGCAATTATGCGAGTTCGGACAAGGAACATCCATCCTACTTGTTTGTTCGGGGGCGGGCGGTCAATGAG ATGCAGATTTATGGCGACATGCCGATAAAAGCGTGGTTGAGCTTTTTAGTAGAATGTGAGGTTGAATATG GGTACAAACTCTTCGGAATGGAAGTTGCGAGATCGTTCGTTCAGAGCTTTGGATCTCCGTTTCACCAGAA CTCGCGTGATCTATCACAGATTGACGATATGGCGCCTGCTTTTACGTCACCTTTATTATTTGAAATGTGT TGTATGACATCAATTCTCGAAATTAATATACGCATGCGTATGCTGGAGGAGAGGGTTGCAACCCTAAAAT TTGGTGAGCGGGAGATCGACCCACTTGAAGTACTAAAAGAATTCTTCCGAATCTGCATTCCGCATCCGAA AAAGATTAATAATATGTTGAGAGCTCCATACTCATGGTTCGTCAAGCTGTGGGGCGTATCGTATCATGAG CCAATAGTCCTGACGGCGAGGGGCGGCGAGGATAAGAACTCGAAAGACATATTCTTTACGGGATTTCACA GAGTCAAGAATCCATACTCAATAATGTTGAAAAAATCGAGGTTTTTTAAGAAATCTTTAGACGAGAATAT CAGCAAAGTGAAAGAAGCGATAGACTATTCAAACTCGTTGACGGGGATGTCTTTAGGGCTGCCCGTATTT CTATCCATGCTACAGAATGTGTACGACACTGAGTTTAATCCGACTATGGTTCAACACGTGTTACTAGCGT CGTTCTTGTTGAGTATCCAAACAATAACTGGCTATGGACGCGCTTGGGTGAAAAATGTGTCAAGCGATAA CGACACTCAAATGCGCCCGGCGGAGGACAACTTCATTGATCGAGTTGCTAAGCAAACGGAGATTAATTTT ATACAGGCGTATGAAGAGGCGTTGGGGCACGGAGAAGATATCGTTAAGCCAGAAGACATGTTTACCTCCA TTTTGCGTTTGGCAAGAAATACAAGTTCCGGCTTCTCTACTGCTGTTGACGTTTATAAACGATTCGGTCC AAAGTCGGGAGGGAGAGGAGAACGCGTTAAGATAACATCAAGAATTAAAGCATTAGTTATCTTCACAAAG GGCCATGAAATATTTACAGCTGAAAATCTCGCGAAAAGATATGATACGGAGGAAGATTACCAGACTAAAG GGTCACGGGATGTACCTATCAAAGCAACGCGGACGATTTATTCAATAAACCTCTCCATCTTGATCCCGCA GCTGATCCTAACTTTACCGTTGAATGAATATTTTGCCCGGTTCGGAGGATCAACTGCACCTGACTCACGT AGCCTAGGGGGTAAGGTGATTATCGGAGATCTAGAAGCAACGGGATCACGGACGATCGATGCGGCAGATA CGTTTAGAAATTCGTCCGACCCAGAAATTTTCACAATAGCGATCGATTATTCGGATTACGATCAACATTT GACGGTTTTTAACTTCAGGAACGGTATGCTGGAAGGAATTCGCTCTGCGATGAAGAGATATAAAGAGTTG AGGTATGATGGATACACGTTGAATGAATTGATTGAATTCGGGTATGGGGAGGGGAGAATTGTTAATTCGA AATGGAACGGAAAGAGGCGGGTCAAATCTGTACGAATGAGCGATTATATGGCATTGAGTGAAAGTCAACG CGCTCAGGGCACTTTCAAGCCGCCGCAGGGAGTGAGACCGGTTAGTTCAATGCAAGTGTTCGATTCAGTG GGTGAGGCATCTGGAGGGGATACTCTCCTCATCTCGCCCACTGACGGATCGGATTTAGCAACCGTCAACA CGCATTTGTCGGGTGAAAATTCAACGTTAGTTGCTAACTCTTTGCATAATATGGCTATCGGACGTATCAT ACAAGAAGAGATCAGAAAGAACCATCGAGCGGCTTTTACCTTTGAATCTGAGCAGTACGTTGGAGATGAT ACGTTACTTTATGCAAAGTTGAACACATTAAACCATGAAATTTTTGATAAAGCGATTGATACCATCTTCG ATACTGTGGGAAAGTGCGGACATGTGGCATCGGCAGCGAAAACCCTTATCGCTCCTTTCTCTGTTGAAAA AACTCAGACTCATGCGAAGCAAGGAATTTACATTGCGCAGGATCGGATGATGATCATCTCTTCAGAGCGT AGAAAGGATATCGAGGACGTCCAAGGGTATATGAGATCACAAGTGTCGGTTATGGCGACAAAAGTAAGCC GCGGCTTTAGTCATGAACTGGCTCAGCTTGTCTTTATGATGAAGAGCAGCATCGTAGGCTTTCGTAAACT GAAGCGAACTGTGGTGGAGGATGGTGTATACCGTGATCGCGCGTTGGATTCGGAAGATGAGGATGGCTTC ACTTTGATGCAGATCCGTGATCCGTTGGTCGCCTTCTACCCTGCTGAGTGGAACGGCTATGGCATGCATC CAGTCGCTTTGAATATCGTCATGACGGAAGACATGTTTATAGACACGAGTACCATGGTTGAGTTTCAGCA TGTAATGCGGCCGCTCCTTCGATTTATGGGTAGGATACCTCCAGTGTGGAATGAAACTAAAGCCGATAAA CGTCAGATTTCATCCATAACAAAGATGAGTTTCTTCTCCAAAATGGCTAGACCAGCGGTGAGGGCGGTTC TGGCGAATAGTGAACTGTCAGATCAAGTGAGAACATTGCCACTGGGCGACTTTTCGCCTTTCAATCTCTC CGCAACAATGATGCACTCAGCATTATTGAAAGAACCACGCGCGCGTGCCCTGCTGACGCCAGCCTACGAA AAAGAATTCCAGTCAGAGTTGAATTCAAACCGGGATAGCGAAGTAAATTTCGTCGGGAGGAACATGGAGA TCAACACTAATTATATGAAACTGTTCGATGTTGATTTGTCTACGCGAATAGTGGCCAAACAATTTAGTTT TCCAGATCAGAATATGTCGTTGCCTTTTTATTTTCAGAAACTCTTGATTGGACATAGACCGGTCGCGCGG ATGAGAATGACCTATATTGACCGGATTGACCAAATCTTACGGGGAGACGTCGTGATGAGGGGTTTCATCA CAGCGAATACTATTATGTCCGTTTTAGAGAAGATTGGCACTGCTCACGCCGTACAGGACTTAACAACAAT ATTTCAGTTGATGAACATTGAATCTAAGGTGGCGCATAGGCTAGCGGAGTATATCGCTTCTGAAAGGGTA AGATTCGACGCGCTCTCGATTGCAAAGAGGGGGATATGCGGGGATGAATTCTCCATGTCGCTGGATGTGT GCACGGAACGGTTTGCTGAACGGTTCATGGAACTACCAGCGCAGTTTACTAAAACTGAGAGAGATATAGC GATTTTATATGCCGCGCAGCTAACTATGTTGCGCTGTGCGGCTAACCTAGATCTTAGGAAAATTAAGATT GGGGTTTCAGCGGATCACGTTAAGAGATTTAAACAAAGACAGGCTAGATTTAAGACTCATCTACCTAAAA TGCGTACAGTCACGCGGCTGATAACGCCTGAACGAATCTCCGCACGCCTGGTTCAGCATCAGTTTACATG ACGCACCACCTAATCAACTTAC >JQ610676.1 Orungo virus isolate UGMP 359 segment 2, complete sequence GTATAATTGATCCGCGATGGCTTTCGAGCGTACGGTAGCCTTAACAAGAGAGTTCGCAAATGAAACAAGA CAGCATTTTGGGAAGTTTGATATAGTTGTAAACACGGAAAGCAGTATTGAGGACGAAGCAACGGGTGAGT GGGAGTTCGCACGAAGTGATGGGCGGCTTGGCATCTATGAAGAATTGCATAATAGCATCGCTTATAAACA TTATACGGCGATACTAAAAGGGCCGGAAAATTATTTGAATATTCCGCAGATTTTTGAGTCGAAAATCTAT AAGAATTTGAATAGGGATGATCTATTGGCGAGATATGATTATTCACAAATACTAAGATTCCGAGATAGTA AGATAGCGGGCCGATTGAGGATGCAGACGTATTTCGGGGACGTGCATGTAAGTGCGGGACTGATAGATTG TGTAGCGATGGTTCGTGAGCCTATTAGAAGGGAAGGGTGTCAGCATATGATGGTACGTAGTTTTGATTTG ATGAATGCGGGCCAGTTTTTCGATGTTCATGCGCCGAAGATCCACGCGTTTGATGACACGGTGATAGTTG AAAGCATGGACATCGAAAACGGAGTATGGCGCGTAAAGGCGGGTGGCGTAGGTTTGAAAACGCTGCAGGA AAAAGCGGAAGGAATACTCGGAGATTCAGTGTTAGACTTAGTCCACAACTATCTCAGCCAAAAGTGGGAC GCAGGTTATGTGGCCGCGAAGTTGCTGAGGTTTGATGAGACATATAAATTTCATCCAATTCATGAGGTGG GAATTTTCAACACATTGATGATACGCATGGGTCAACTCGATGACGCGTATAGGGATGGGTTCTTCGATTA TGACGAGATTCACGCTCAATTGATGAGGGATGTGACTTTTCAGTACCCAGAAGGTAAGCCAGTCTTTCGG AGAGATGGCCAATTCTTTAAAAACCTAGTGCAGTATTCGGGACGGGCGAAGATTGGGTATGAGACGTATT TACCAGACAGGGAATTGTGGACTGAATGGCGAACGAGATCATCCGTGCAAGATGTTGTACCCAAGTATAT GGAATGGTTGATAGGTAGATTACAGTTGGGGAAAATGCTTAAAATAATGTCGGAATTACCAGCGGATGTT ACGATGCCCAACTATCTTTTGAAAGCCATTACATATAAATCGAGTGTATATGTTAAGAGATTGATACTCA CGTACATCGCTTTACGAATGACGTTTGGACGGTGTCCAGTAAACAAAAAAGGAACGCTTGCCTCATCAGT CTTAGGTTTTCTACACGCGGTTATTCCGAATCTGGAGGAATTTCTGAGGAAAGCGGGAATAACGGATGAA CTATGTGTTAAAATGGAGTTTACGCCGAGACTTACTGTGATGGAGAGAGAGGATAGGAAGTCAGACAGAT ACGCCGTTGTCTTGCAAGTTTATAGGGAGAGGAAGCTGGAGGTTTTTACGCCTATAGACTCAGACTTGTT CGAAGATCGGAAAAAGTACTATGACGAGATCTTGAAAGATAAAAGATGGCGTGGAGAAGAGACTGATTAT TTTTTTAAAGACTCAGGGATACACCGGTCCCAGGTGGCTGGGTTGAGCGCAGAGCAGCTCACGTTGAAAA AGTTAGGACGCGACTCAGATTTCAACGACCCTAAACGGTTCGTTTCATACAGATATAGATATGTATCAGT TAAAGCGGGAGATATCTATGCAGAAGGGGAGAGCGTTATAACGGGACCATTATTGACACTGATTCCACAT GCCTACGAGTTCGGACGAGTATCTTTGATTGCGGGGCAGTCTCGAGATCAATCAAAGTTGGATAATGTCC CAGTCTACCGTGACCACATGAAATCCTTGGAGTTAAATGGCGTCGAAGTTGGCTATGACACTTGGTGTCC GTCGGGGCGTGCAGTACAAGTTAACTTGGAGTTGATATCTACCATCCTGTATAACGCGTTCAAACGTCCC ATCGTTAAGGGAGCATTATGTCACTTCGGTATGTGGGAATTTTATAACCCGAGACGTCCCGCGTATGAGT CAGTAGACGTGACAATCATGAATGCGATCTCGGATATCACTGGGAGCAAAAGATGGGCATATCAGGAAAT TCAAGATTGGTTGGCGAGATTTATTAAGGGGTCACGGGTTGACATGGTGACACACCGCTTCCACGGGGTA ACGAAGAAGCCAACAACTCGAGGTGAGATATGGATCTGGAACCTACTACTAGTTTTGATCTCAAATCCCA GTCTGGTGGTATCACAAACGGATAAATTTCCCTTATGGGTTTGCGCCTCTGATGGCTTACACCTGATTAG TACGGGAGTGAGGCATACCGATCATTTTAGACTTTGGGAGTGGCTACCATATACCGAAAAAATTGGGAAC GACGATTATATGTCGGTTCTCGCCACAGATAGAGAGTTGCGGCTTTTCGAAATCGCGTTGGAATACTTCG AGACTATACGCATTGGATATAGGAGAGATGAATGGACGCATTTGAAATCGAACATGTTTAATACCTGGCT GGGGACGCATTGTGGGGGTGTAGGGGACGGGATGATATTGTTTGACCCGGTGAGATTACCATCCCCGAGC AGCGTCCTTTATTTGATCTGTTCGCATAACTCAACTTTAGAAGGAATGATGTATTTACTACATGATATAT ACGGGAAGATCGTTGAAGAGAATACTGGTACTGTTTTCATAAGGGTACACGCGCGAGGTTGTAAGTGCTC GGTGTGCCGAGGGGGTTTACAGGGAGTTGACGTAAAGAATAGGTCAGCTATGCGTGTTCGTAGTATGCCA GGGAACATCGGCTTCGATTCAGTCAACCTAATTCTTTCAACATCAACGACGAGCGCGTTTGGGAACTCTT ACATTTACTTTAAGCTTATTAATCGTTAGTGAGGTGACACTCGCTCCGCGATCACGCAGATAC >JQ610677.1 Orungo virus isolate UGMP 359 segment 3, complete sequence GTATATATTCCTTCGCGATGGCGCATGCGGATGCTAAAGGAAGTGATCCGGAGAGAGAGGCGTTGAGGAA GAACCCTTATCTAGATGGAGACGTCTTGGGAACCGCAGGCGGCCAAGTTTTGTCGGTTTTCGCATTGACC GAAATTTTACAAAAAGTAAGACAGACGCAAGCTGAACTGGCCGCACACGCAATCGATTTGGATGGACCAG TCCCTGAGATCACCGGGGTTATTAAGAAGATAGCGGAGTTAGTTGACACCGTTCCATATGAAGTGCGCGA TTCACCACCTATAAGCTATAAGACTTTAAGCATGCAATCGCGCGACTTTGTCATCCAGGTGGACCAGTAT TACGAACAGATTTCGCAAATTGGAGGAGACGTCGGGGAGGACGAGCCGATGGAGTTCTATAAAACAATGC TAGAAAAGGTACGCTATTTAAGGAAGAGTGGAGCATTCATTTTGAGAGGTATTAAAACACGAGACTATAG GGGTAATGAAGTGGCGGAACCAGAAGCTTTAGGAGTCGAATTTCGTGAAGTACTTTCTAATTTTATTGCG GCGGATAGACAAGTGATACAGAATGCGTTAGATGCAGCCATAGTTGAAAATGGCCAGGTGGGTGATAGGG CGGTCGATGTTTATATGGCTGCTGTTTCTGAGCCATGGTATCGAATATATAATAGGTTACAGGCGTATAT TGAAGTTACGCAACTGAGAGAATTGAGGCGCGCAATGGAGTGGCTGAATGCACTTGGTCGTCGTAAGAGA GTGGAGTATGATGATTCATTCTTGACCGATTTTCGAGCGAGAGATACGGTATGGGTGCAGACGCAACAGC TTCCCGTTAACGCTCGTGTGATCTGGGAGGTTCCGAGGTCATATATAGCTAATTTGATGATGAATATCGC GTTATGTCTGCCACTAGGTGATTTCATAGCCCCAAACCCGAGGATTGGGTCGATAACGATAACCCAGCGA ATAACTATGACTACGCCTTTTGGGATGATGTCTGGGATGACCCCCACATCAATGCAGATGGACGATGTCA AGAAGATATATCTCGCGTTGCTCTTTCCCGGGCAGATCGTTTTGAATATTAAACCCGACCCAGCGCACTC CATCGATCCGGTACTGCGTATGGTTTCGGGTGTGTTGGGGCATTTGATGTTCACCTACGGTCCCAGATTT ACTAACATAACAGCTACAACATCGCAGTTGCTAGATAGTGCCTTGAGCGACTATTTTCTGTACATGCAAA ACAGTAGAGTTCCGGTGGTGTACGGACCAACTGGGTTACCTTTGGATTTTAGAATCGGTGGACGACAAGG CTATGATTGCAATAATCTGCGGGGAGACCCGCAGACTGGGAGGGGGTACAATGGATGGGGAGTCGTTGAC GTCGATCGAAGAGCACCCAGTCCGTACGATTTGGTTCAAAGATTTATACGTTACTGCAACATAGACTCTC GCGAGATCATCGACCCACGGACGTTTGGATTTAATATGAACTATCCGCTATATATGGAGATGATACGTGC ATTAGTTGCCGGAGGAAAAGATCAGGAAGCGGCGTACCTACGACAAATGTTACCTTTTCACATGATCAGA TTCGCACGGATCAATCAGATAATAAACGAAGACTTACTTAGCGCGTTTTCCTTACCAGATGAGGATTTCG ACGCATTATTTTTCAATATGCTGCGCGGCGAGTATGGAAAGGCTGAGCCGATCGTTTTAGATATCAGTTG GGCTTCAATTTGGTTTGCGTTCAACCGCTACTTTGACCCAGTCCAAAGGTCAGATCTATTATCAGTGGCA CCCATGATTGAGGCTGTCTATGCGTCAGAAATCTCCATTTTGCAATTGGATATGATCAACCTGCAGCAGT TGAGAGCGAGGGCACCTGATATGTTGATTAACGCAACTCCGAGTCAGTTTTGGAAAGCGGCGTTAGCATC CGCAGCAGAACCAGTAGTTGAGTTGATGAATCTTTCGCAGAGTTTTCGATTCATTAACGTCAGGGATATA ATACAGTGGACTAGAACACGAGAAGTGCAACCGTCGCTGGCTCTCACTTTGGAACGAGAGGCGTGGGCGG TCGCAGCTGACTTCGAAGAGTTGATGCTCGTAAACCATGTCTATTTTCATAGATCGGTGGTTCCCGAACC ACAGTTGGATGACATCGATGAATTTCGTAGGCAAGGATTCCTGTACACAAATCTATTGGAAGCGGCCCCC CCGCGTTTGTTAATCACCAATTATGATTACAACGTTGCGCTACTGCAGGCGAATCTTGGACAATTTAAAT CCGCTTTGAGGAGAATTCTGGATGACGGTGGTTGGGTGATGTTCGGGGGAATGCTGAGAAATGTTCGTTT GAAAATATACGATTCAAAGCCGGGAGAGGACGTCTTAAGCGAACTACCCTATCTTTACTCCGAGAAAGTG GAAAACGGTTTAAGGTTTGTGTCTTTGAAGTATGCGAGACGAGCAACTATTTATTTTTTAATGTATAAGG TTGAATATTCAAACACACCAGATGCTTTAATATCAGTCAACCCCACGTATACCATGACGAAGATTTATAC AAACAAGAGACTGGTCCGGAAAGTCAGGTCACCTGACGTTTTGAACATCGTTAATAAAAGAGTAGTGGCT TATAAAACGAAGATGCGGTTGATTGACATTACATCGGCACTGCGTCTTGGTGTTAAACTTGCAGCACCTA CAGTGTGAATTGACCACTCAACCTGTGGTGCTCGGTGGGGAATTCGCTTAC >JQ610678.1 Orungo virus isolate UGMP 359 segment 4, complete sequence GTATATTTCGAAATGGAGCCCTTTGCTGTGCTGCACCTATCAGCCAAGCTGGCACCGCTGGTGCGTGAGG GATTTATCCCGTATGTGGACTTGGATAATATTAAGACGTTGAATGACCTCTGGATTGAGATTGGCAAATG CTCATCTGATGTATATGCGGTTGGACGAATAAATAGGTGGACGATACGTCAGCTACGTGCGTATAGATTC ATATTCGTGTCGGAGAAGAGAACAATAACGTTGAAGGATATTAAGATCACACCTGACGTGCCAATAAGAT GCGCGGATGGGCTAGACTTAAAGTTACTTGAGACTACAATAGGACGTAAAAGATTAGTGTTGCGAAAGAC GTTTGGAGACATACTGCGAAAATATGCGTTAAGCCAGTCGGTACACTTGCATGGATCTGAGGCAGAAACC TTGAATATGGCGGACCCTACCATACATCACGTGAAGGGGTTACCAATGATAGCGCCAAATCATTTAAATC CAACGAAACCATGGAGTGATCTGGACGACACAGAAACCGATGAAAAACTAGTGTCAATGCTAGATTACGC GATGTATAGCGCGCAAGAAGTGCATTATGTTGGCTCGGGAGACGGTAGAACGATACGGCTGTTTGCAAAG AGGGACAAAAAGAGATTTGATAGAGCGAAGTGGGTGTGCTATGACCCTATTATGACTGATATTGGATTGA CAAATGTGATAGCTGTTAAACACTATGTCAATACTTTCAGGGATATGCTACCGTATTTAAATACTGGCGA CCGAGTTGAGAGATTACTATTGTGGGACGTAAGTGGAGATGCGGCGAAACATGATCGGTTTTGGGAAGCT CAGAGGACTGAGGAGGACCGGCGGGGAGAATCAGTTGCCGTGTCTTTAACGGAGTACTTCGCCTTGGCTA TTATCAAACATAGAATTCCAATCTATGAGGAAAAGTATAGATGCACCACTTCGTGGATTGTACCGCAGCC TGGCGCGGTCCGCGAGATGTACGAGATGAGGAATATCATACTGTTGAACGGTTTTTCTAGGGTAAATCGA GCGCATATCCCCCAGGCAGGCGTAATGGAGATTGAGGCTGATGTGTTACGTGAGATGGTGAGGAACTTCC ATGGAGCTGGTCGCGGTCGGCTGCTGAAGAAATCGCTTTATGAGAGTCTACATATCCATCAAGTTGATGG ATTGGAGGATTCGGAAGACGGAGCGCGGAGCGATCTCTTTTATTTAACCAACCAACGTAATGTTAATTCA ATACAATCAATCAGACGAGTTTTGGGAAATAGCACGGTGTCGACTTTATGGGTGTCAAGGGAACGAGTTT TCGAATATGATGACTTTAATTTTGACCGATCAGCGTTGATGCTCTGGCACAGGGGTAGAGAGCACTTACT ATTTGATGGCAACGGCGCGGTTCTATATTTGATGTGGCAGCACGGAGATAGATATAGAAAGGATGTGAAC TATGATCCTTCGTGGGCCGAACATTTTGCAGTATTGATCCGAGAGCCACAACCTTGGCGACCAGTTCCAG ATCTGTCCCTCTGCCGTTTTATTTCGCTAAGACGGGTGTCGACGGTTATTAGAATACGAGGCGATATTCA CAGGAAAAGTGATCAGGTAAAGCGTTTAGGGTTAGATTTGTCAGGACATCTGTTCGTAACGTTAATTTCT GGAGCGTATCTTGCCGATTTAAGATGGTGGTTCCGGATGATCATCCAATGGTCAAAGCAGCGTAGACAGG AAAAGATAGACGATTTGGCTAAGGTTAACGCTGAAGTGGTTGAATGGAAAGAAGAGAAAGCCGACGAACC GTGGCATCGCAAGGAGGACCTGATCGCTGCTTTAATCGCGGCAAAAAGTATCACCGGTGATCAGCATATA GATGGGTGGATTGCGGAGCTGAGGGATATGGAATGACATCCACCCGAGGGGCAATCGAACTACCTAC >JQ610679.1 Orungo virus isolate UGMP 359 segment 5, complete sequence GTAAAAAGAATCCTCTGCGTTCACTGGGCACGAACATGGATCAATTCTTGGATTCTTTTGATGTGACTGG AGACGAGGCGAATGCCTTGAGATTATTGAGAGCGGTTTCACCTGAGATGACATGCTCACATTTGAGGAGA GATTGTTTAATTGGAGGGATATGCGCAAAACAGTTTTTCAACGAGGTGCTGATGGCCATTCTGGATTCAA AAGATCGTCAGGCAGCGCGTCAGCTGGTGACATTAGCTGTGATGACCAGTTACGACCGAGAGCTAATCTG GCTCAACGTACTAAGGTCAACTGAAGTGCTGCCGGCAAATGATTATGCACATGAAATACAGAATGTGGTT CTGAACTTGAAGAGGGTCTTCATAGAGAGTGGGTTGGAAGAAAAATACAAGAGTTTCAGGGCGAAGCGGC GTCCAAACAGATCTCCGACCGAGGATGCTTTCTCTTTTTTGCCCTTTTTCTACATACCCATGAATGAAAC AAAACGGGTTGGAATAAAGAAACTCACTAGAGTTCGGAACCTAGGTGTTGCTTTTGTTGATAGACGCGAA GTGACGCATCATTTACCGTTCACGGTGGACGCTGCTAGAAGGGACCTTATGATGCTGAGAAATTTCACGC TGGAGCACCAAAGAACATGTACGTTTACGGGTTCAAAGAGCTTGATACATGGGATGATATTCTGTCCTGA GGAGATGGAACCTCTTTTCCAGAAGAAGGAGACAGCGCTAGAAATCTACAGAATTTGTGAGCAGGATATG AAGTTTATCAACTCAAGAGGTACGATGTCATTTCCCCGGTTTTTGATGCAACGTTTAGCGGTGAAAAACG CTTCATCTGATGCGATGGACCAGGTTATGTTGGGACGAACTCCGAGCGATGGACGTTTGATGTCGGTGAC TGGTGCCTCTTTCTTTTTTGGAGGGGGACCTGATTGGCGCAAGTGGGCGATGCCGGCGTTGTTGGTACGT GCTGCAAGACTGAGAACCGTCGTGACATCATTCGTTAAGGAGTGGTTTGATTCGACTCACACATGTCAAG TCTGTTTCCTAGTTGAAAAAGGTGTCGCCGATTCAATTCCGATCACTGATGTTCGTTTATCGGATGTGTG CGGCGTAGGACCAGTCGCATATGTTAGATCTTATGCACATGATGACGGGAACGCGCCGGATGTTCGCGTA CTGAGAAAAGGTGAAATCTTCAGATTGATGGGCGGACATTATGTTATGCAGACAACGGCGAGTACAATGG AATCATTGGTCGTTGCCGCGAAGGAGATGCAGCGTTTGGTTCGCGGCGATGGTTTTTGGGACACACCGTA TTGGGGTTTAAGCATGGCAAACCTTTGTAAAATCATGTTTCATGAAAACCCAGCAAAGGAACAGATTCAT TTCATGATTAAGCTCATAACCTTTGGGATGTTTGGTGGGGTTCAAAGGCACAATGGACTGTTCACAGACT GGGACAATTTGGAGGAGTTCTTGAAGAGGATGTTTTCTACGGAGGAGATGGGCGTTCGTATGTATGAGTC AAGTTACCATGCGATACTTCGTGCGTGCATACTACATCTACAGACCACTGCGAAGCCTACCCTCGTTCAA CTAACTCACGCGATCGAATCACTCGACCTTGGAATAGAAGAAGTTCCTTTCAATTTTTATGTCTAAAACA TCATAATAAACCATAAAGAGTCTGAGTAATTGTATCCCTGAGCTCTTACTCTTAC >JQ610680.1 Orungo virus isolate UGMP 359 segment 6, complete sequence GTATAAAATACCTCGGTCATCATGGGCAAATTCGTAAAGGCCCTGAAGAAAATAGGAAGGGGTACGGTGA AGGCACTGACGTCTGACGCTGCAAAGAAACTTTATACGACTTTAGGAAAGGCGGCGACGCGGTTTGCTGA AAGCGAAGTCGGCAGCGCGGCGATTGATGGATTGATACAAGGAACAGCGCAAACTTTACTGCACGGAGGC AGCGCGAGTGAAAATATCAAGCAAGCGGTTGTTTTAGGTGTTCTCCACAGCATGGAAACGCCGGCGGACC CTTTATCACCAGGAGAGCAAGGAGTATATGATAAGATTAAGGAAATTAAACGAGAAGAAAAGGAAGATCG GTTTTTCGAGGTTTACCAAGAAAAGATTGACGAAGAGCTTGGTTCAGATATGAAGCGAATGCGAGAAGTG GCAAAAGGTGATAAGCAGGCCATCAAGGAAATGGGTGGTGAAATTAAGGTTATCGAGAAAGCTTTCGATG GATTGATTAAAATAGATAAAATTCAAGATATGAAATTAACGCAGTTATATGGCGCGCTCGCGAAAGAGCG TACGGAGCGTACGCAGGACGAGATCAAAATGGTTAACGACTACACTGGAAAAATTGAAGCACTGCAATCC GCGATAACAGTTGAGCGGGACGCTATGCAAGAGGAGGCGTTGCAGGAGATAATAGAAATGGGAACGGATG TAATTGAAACCGCCTCCGAAGAGGTTCCGATATTCGGCCCTGCGGCTGCGAATGTAGTCGCAACTGGACG AATGGTTGAGGGCACCTTAAAGTTGAAGCAAGTAATCGAGAAATTAGCAGGGTTAGATGTTTCGCACACC ACAAGGGACAGAATCGAGCCGAAAGTTATAAACGCTATACTAGATCACGAGGGGGGCGTCGTACCGGAAA AGGAACTAGCGATTGGTGTATATAATAAGCTGCAGACAGTCAGAGAACATATGGCGGAACACAGCCATCT AAAGGAAATGGCAATACCAAGGCTGCAAAAGCTGTACACAGAACACGGCGATGAGTGGCATCCAAAGATA ATTACTCAAATGAAGGTAGCGAGAGAACATCAGCCGCAAATACATATATATTGCGCTCCATGGGAATCGG ATGACGTGTTTATGTTGCGAGTGTACGCGCCGCATCATATAGGGTGTGGTCTTTTCTTAGGAGTTGATTT AGAGAGTGAATTCATATTTTATGAGGATTTGATAGCAGAGAACCACGTATTGCGTGGTGGCGTCATTGAA GTCGTTGGAAGGAACTTCAGGCAAGCAGTGCGCGAATTTCTTTTGATGGCTGCGAGCAAGATTGAGAACA CTATGCATGTCAAGCGGTTAGTGAGAAGCTCGGCTTCCTCACCTATCTACTTGTCAAGCATACACTATGA GTGTACATTTGATGAGATAAAACAGAACGTTTTACAGATCGTGCACGACGAGCAGTTACAGATGCATCTG TTACGTGGTCCGAAACATTTCCAAAGACGTGCTCTGATGGCGGCTGTTGTTAAGGGTGTTAAGATCTTAG AGGGGCCAGATACGAAGGCGCTCATGCTACAGGGTTTGTAAGTGGCTGAAAGGTATCAAGAATAC >JQ610681.1 Orungo virus isolate UGMP 359 segment 7, complete sequence GTATAAATATCTAGAGATGGACGCCATTGCGGCACGTGCTCTGTCCGTGATCCAGGACTGCATTAGCGTT GGTGATGGGAGAATTAATTTAGACCCTGGGGTCATGGAGAGATTGGGAATTGCTATTAATAGATACAATG GGCTAACGAACAATGTGGTGACGATCAGACCAGGGACACAAGATGAGCGGAACGCGATGTTTTTTATGTG TCTGGATTTCGCGTTGGCGGCATTGAACATACAAATTGGGGTTATATCTAGGGAATACACGCAGGCGCTG GCCACTATCGGTGTGCTGGCAACGGGAGAAATCCCTTACTCGGTTGCCGCTATGGATACGATTGTACGGA TTAGCGGAACGATGGCGACATGGGGTCCCACCGAATATGAGTTACCGCCATATGCGCGGTCTCAGATGAT ACAAATGAGCGGACGTTACTACGTTCCAGCGGGGGCGAATTCACATGCTGCCCATGTCGATCCCACGACG GTAGAGATTTCTTTAGCTGCTGGAGTAGTAGTGAATGTTACGAACGCGTTACAGCCTAGGGGCGTTGCGC CCACAATGATGTACATGGTATGGCATCCGTTGGCGATTTTCGCGAATCCTCAGGGTGCTACAGCTGCTTC GCCTCAAAATATGACTTTGGTGGTTGGTGGGCTGAATATAGCAGCTGGCACGATCATCGCTTGGGATACC GTCGCTCCTATACAGCTATCGAATCAGGGAGGACAAGAGGGAATGATCGCGATCCGGATACTATGGATGA CAACATTAGATAAATCTATGACAAGCTTGCCGGAGATGCGTGAAATAATCTCAAGATGCTATAGCTTTAT GCACCCTTCATGGCACGCGCTGCGAGGGACGGTCCTACATTCGCTTAATCTGCCGACTAATAATCCACCT ATGTTTGCGCCTGCTACGCGACAGGAGGCATTGGCGTACTTAATTCTGGCAAATTTAGCGGATGCATATA CGTCGTTAAGGCCTGATTTCACCATACAAGGAATGCTCGCGGTTCCACAGGTCATTGACAGGCAGTTCGT TCAGGGTGCGTACAGGTAGAGGACGCCTTCCACAGTGGGCGTCTCATGTAGCCCCAGCGTCGGTCCCTTA CGTGTGCTGTAACGCGTAGGTAGAACGTCATATGATATTAAGTTAC >JQ610682.1 Orungo virus isolate UGMP 359 segment 8, complete sequence GTAAAAAATCTCCTCTCTTTTCACGATGGCTCAAGAAGTTAAGAGAAAGTTCACTAGAACAGTGTGCATC TATGATCCACAAAATCGCACATTCTGTGGTCGAAGTGCCGCGATGGTGTGTAACAGTTATTATACAATTA AAATGGGTAGAACGACGCAGTGTGGAGTGTCGCCGGTGCCCGTACCAAAGTCATATGTGCTAGAGATACC GGATGTTGGCTCTTATCGCATCTTAGATGGGCAGGATTCAATCAGTGTCATCGTTACTGAGACGGGCGTC GAGGCAACGTCTGAGAGGTGGGAAGAGTGGAAATTCGAAGGCGTTAATTGCGTTCCGATGGTTGTTCAAA CGGAGATTGGGAAAGGCCTGATTGACATGGAGATCAAGTTTAGTAAGGGAATGGGGCTCGTTAAACCTTA TGTAAAGAATGAGGTTAGCAGAACTGAGATCCCACGGCTACCGGGTGCTTCAGTCATTGATACACCGATA CGCGATTACCGTCAACTTTTGAAGGATCAGAGAGATGAAAGAAGGGCGGCGCTCGATGCGATCGCATGCG ACATATGTCCCACTCTATCAAGAATGCTAGGGGCGAATATTACAGACGGATCGCCACAAGTCGAAGAAGT CGCAACACGGCCAACACAACCTCCAGCTCAGCTGAAGCTGGATGTGCCTAACTGGGACCAACCGACTGAT TCAGATGATGAGGATGAGGAATCCAAGCGCGTGACAACGCAAAGTAATGCTGATACTGAGGAACAAGTGA CTTTCGAAGATTGCATTACCGATCAATACTTTTCGAAAACGGGTGAATTCGCGAAGAAGTATCCTGAAAT GTTAGCGGGACTTTCCGCGAAGATGCCGAGTGAAACAGGTAGGTTTACAAAAATATTGACGACGAGGAAG GCTCAATGGAATAACGTTCCTCTTTTCGAATTAGATCCAAACGGGTTTACATATCATTTTAGTAAGCTGG GTAATTCGACGAGGATCTTCTGTGTCCAACGTGATTTGAGCTACATGGTTTTACCCGCAGGGCAAGGCCT GAAGTAGCGGTGCATGTAGCCGGGAGAGGTACAACTTAC >JQ610683.1 Orungo virus isolate UGMP 359 segment 9, complete sequence GTATAAAACATCCTCCCATGTCATGTTGGTGTTGGCACCGGGTGATCTCATAGACGGAGTGCGTCATCAA TTATCTGAAAGAGGAGTCAGGATTCGTTTACGGGAAACGAATGATGACGAGCAAAAGGATGAACCAGTGG ATACGGGAGGCGGCAAGCCGGGTGATCGAATCGGGAAGGAAGTTGGAAATGCCGAGAGTGAACAGTCTTC CGATAAAGAGAAGAAGGCTGGAGGAAGTTCGGATTCAGAGCTCGGGGAAGGTGGAGATGGAAGGCGACAA ACTGAGAAGGCTGAAGGCGGAGAGAATGGAACTAGAGATATTGGCATTCAGGATAAAGACAAACAATTTG ATCGGCGCGCTAATCCAGATAACGCGTTGGACAGAGAAAATCGATCAGGAGATCCGCAACTTAAATATGG ATTTGCAACCAAACGAATTGCAAACGCCGTTGAGTCAAAGTACCACTGCGGTGGATTTGAGGGGCCAGGA TCGGATGGATACATCAAACTAGAAATGTCAATAATGAAGGCGCTAGGTTTAAACCGAGATGACCACATCG AACAATTGGAGTTCCTCAAGCACCAACAGAAAGGGCCCAGCAAAATTCAAGTCAGAACGATCGCTTCCGA AACCAAATTAAAAGAGGTGTGTAATATAATGGACAAGCCGGTGGCTCCCACAGCGAGAAGTGCGGTGAGT GTAGTTAGTAACCGTGTTGAAGACGTGAAGGAAGCCCAGGTGTATTTTACAACTCCAACAGGAGATAGAG GCTGGAAAGAAGTAGCAAGGAAAGCGAGCCAGACACCAAACATTCGAGCGTACATTAATCCGGAGGGAGA TGATCCTAAAGTCTCATTTCTGCATTTAATCGATCATCTGTGAGGTCACGGTCTGAACTACGGGCATGCT GGGTGTTTCAGTTAC >JQ610684.1 Orungo virus isolate UGMP 359 segment 10, complete sequence GTATAAAATTCCGTTCGCAATGTACCGTGACTTGCTGAATATTCACACTGAAATGAGGGGCCCGCCATCT TATGAACCTAGTGGCTTAGCTCAAGCGACAGCACCGACTATGAGGTTTGGGGATAGAGAAGATGAGGAAG GCCTATTGAGGGCGCGCGAGCTTTCGCTTAATGTGTTAACGAATGCTATGACTAATACAACGGGTGCGAA TGAGGCGATTAAGAATGAGAAAGCGATGTTTGGGGCATATGCCGATGCACTTAGGGATACTCCGGAGATT AGGGTGGTGAAAAGGCGGATAAATGAACGTACGTTAGAAAAGTTGCATAAAATGCGACGTTCGCTGCACG GAAGACGAATGTTCGTACGAATGTTGTTGGCGATAAATGTGGGATTGGCGCTATTAACCTCGGCAGTGAA TGTGGTACGCCAGTCGCTAGATGATTTTGGGAAAGAAAGGTGGATAGTTGGTGGAGTGTGGTGGTTAGGT GAGGTCGTCGTTACGATTAATTTTGGAACGACTGTTGCTACGTTGGTATTAATGAGGATACATGGCGCAT TAAACGCGCAGCTTCAAACCATTAAGCGTGACATATATAAGAAAAGCTCGTATAATGAGGCCGCTGCCAT GCATTGGAAAGGTGAAATTAGCTTAATTGAGGAGCTAGCGGCGAGCCACGTACCTGCGGGATCGAATGTC TAGTCCGCGACATCGAAAAATTCACTTGTCCAGGTGAAGCCCGTAGAACGGATCGTCTTAC ================================================ FILE: tests/input/TestFastaFetch/orungo.fasta ================================================ >JQ610675.1 Orungo virus isolate UGMP 359 segment 1, complete sequence GTATAATTAGGAATGGTCATCACTGTGGAAGGTGCGTGGCTGGTGAGACGGGCGTTGCAACGTTTTTTGA AGTTCAGTAAAATCGACGGGGAATCAGCAGTTTATGAGTTCTATAGGTATTCAAGTAATATTCGTGAAAT AAGAAGGAAGCATGGGACGCGTTATAAAATGCATGATGAAGAGTTGGAGCGGAGGCGTGATTCGGGCAAA CTGCGTTTTAAAGGTATGCAAGTTGTGGTAGAGTCGACTTGGATGGAGATTTTAGGGAAGGGACGTACGA CGGACGAAATCGAGATATTCAGAAGTTCGATTTTATCGTTGGATGAACTGAATCCGGAAGAAGAATTTCT GCGCAATTATGCGAGTTCGGACAAGGAACATCCATCCTACTTGTTTGTTCGGGGGCGGGCGGTCAATGAG ATGCAGATTTATGGCGACATGCCGATAAAAGCGTGGTTGAGCTTTTTAGTAGAATGTGAGGTTGAATATG GGTACAAACTCTTCGGAATGGAAGTTGCGAGATCGTTCGTTCAGAGCTTTGGATCTCCGTTTCACCAGAA CTCGCGTGATCTATCACAGATTGACGATATGGCGCCTGCTTTTACGTCACCTTTATTATTTGAAATGTGT TGTATGACATCAATTCTCGAAATTAATATACGCATGCGTATGCTGGAGGAGAGGGTTGCAACCCTAAAAT TTGGTGAGCGGGAGATCGACCCACTTGAAGTACTAAAAGAATTCTTCCGAATCTGCATTCCGCATCCGAA AAAGATTAATAATATGTTGAGAGCTCCATACTCATGGTTCGTCAAGCTGTGGGGCGTATCGTATCATGAG CCAATAGTCCTGACGGCGAGGGGCGGCGAGGATAAGAACTCGAAAGACATATTCTTTACGGGATTTCACA GAGTCAAGAATCCATACTCAATAATGTTGAAAAAATCGAGGTTTTTTAAGAAATCTTTAGACGAGAATAT CAGCAAAGTGAAAGAAGCGATAGACTATTCAAACTCGTTGACGGGGATGTCTTTAGGGCTGCCCGTATTT CTATCCATGCTACAGAATGTGTACGACACTGAGTTTAATCCGACTATGGTTCAACACGTGTTACTAGCGT CGTTCTTGTTGAGTATCCAAACAATAACTGGCTATGGACGCGCTTGGGTGAAAAATGTGTCAAGCGATAA CGACACTCAAATGCGCCCGGCGGAGGACAACTTCATTGATCGAGTTGCTAAGCAAACGGAGATTAATTTT ATACAGGCGTATGAAGAGGCGTTGGGGCACGGAGAAGATATCGTTAAGCCAGAAGACATGTTTACCTCCA TTTTGCGTTTGGCAAGAAATACAAGTTCCGGCTTCTCTACTGCTGTTGACGTTTATAAACGATTCGGTCC AAAGTCGGGAGGGAGAGGAGAACGCGTTAAGATAACATCAAGAATTAAAGCATTAGTTATCTTCACAAAG GGCCATGAAATATTTACAGCTGAAAATCTCGCGAAAAGATATGATACGGAGGAAGATTACCAGACTAAAG GGTCACGGGATGTACCTATCAAAGCAACGCGGACGATTTATTCAATAAACCTCTCCATCTTGATCCCGCA GCTGATCCTAACTTTACCGTTGAATGAATATTTTGCCCGGTTCGGAGGATCAACTGCACCTGACTCACGT AGCCTAGGGGGTAAGGTGATTATCGGAGATCTAGAAGCAACGGGATCACGGACGATCGATGCGGCAGATA CGTTTAGAAATTCGTCCGACCCAGAAATTTTCACAATAGCGATCGATTATTCGGATTACGATCAACATTT GACGGTTTTTAACTTCAGGAACGGTATGCTGGAAGGAATTCGCTCTGCGATGAAGAGATATAAAGAGTTG AGGTATGATGGATACACGTTGAATGAATTGATTGAATTCGGGTATGGGGAGGGGAGAATTGTTAATTCGA AATGGAACGGAAAGAGGCGGGTCAAATCTGTACGAATGAGCGATTATATGGCATTGAGTGAAAGTCAACG CGCTCAGGGCACTTTCAAGCCGCCGCAGGGAGTGAGACCGGTTAGTTCAATGCAAGTGTTCGATTCAGTG GGTGAGGCATCTGGAGGGGATACTCTCCTCATCTCGCCCACTGACGGATCGGATTTAGCAACCGTCAACA CGCATTTGTCGGGTGAAAATTCAACGTTAGTTGCTAACTCTTTGCATAATATGGCTATCGGACGTATCAT ACAAGAAGAGATCAGAAAGAACCATCGAGCGGCTTTTACCTTTGAATCTGAGCAGTACGTTGGAGATGAT ACGTTACTTTATGCAAAGTTGAACACATTAAACCATGAAATTTTTGATAAAGCGATTGATACCATCTTCG ATACTGTGGGAAAGTGCGGACATGTGGCATCGGCAGCGAAAACCCTTATCGCTCCTTTCTCTGTTGAAAA AACTCAGACTCATGCGAAGCAAGGAATTTACATTGCGCAGGATCGGATGATGATCATCTCTTCAGAGCGT AGAAAGGATATCGAGGACGTCCAAGGGTATATGAGATCACAAGTGTCGGTTATGGCGACAAAAGTAAGCC GCGGCTTTAGTCATGAACTGGCTCAGCTTGTCTTTATGATGAAGAGCAGCATCGTAGGCTTTCGTAAACT GAAGCGAACTGTGGTGGAGGATGGTGTATACCGTGATCGCGCGTTGGATTCGGAAGATGAGGATGGCTTC ACTTTGATGCAGATCCGTGATCCGTTGGTCGCCTTCTACCCTGCTGAGTGGAACGGCTATGGCATGCATC CAGTCGCTTTGAATATCGTCATGACGGAAGACATGTTTATAGACACGAGTACCATGGTTGAGTTTCAGCA TGTAATGCGGCCGCTCCTTCGATTTATGGGTAGGATACCTCCAGTGTGGAATGAAACTAAAGCCGATAAA CGTCAGATTTCATCCATAACAAAGATGAGTTTCTTCTCCAAAATGGCTAGACCAGCGGTGAGGGCGGTTC TGGCGAATAGTGAACTGTCAGATCAAGTGAGAACATTGCCACTGGGCGACTTTTCGCCTTTCAATCTCTC CGCAACAATGATGCACTCAGCATTATTGAAAGAACCACGCGCGCGTGCCCTGCTGACGCCAGCCTACGAA AAAGAATTCCAGTCAGAGTTGAATTCAAACCGGGATAGCGAAGTAAATTTCGTCGGGAGGAACATGGAGA TCAACACTAATTATATGAAACTGTTCGATGTTGATTTGTCTACGCGAATAGTGGCCAAACAATTTAGTTT TCCAGATCAGAATATGTCGTTGCCTTTTTATTTTCAGAAACTCTTGATTGGACATAGACCGGTCGCGCGG ATGAGAATGACCTATATTGACCGGATTGACCAAATCTTACGGGGAGACGTCGTGATGAGGGGTTTCATCA CAGCGAATACTATTATGTCCGTTTTAGAGAAGATTGGCACTGCTCACGCCGTACAGGACTTAACAACAAT ATTTCAGTTGATGAACATTGAATCTAAGGTGGCGCATAGGCTAGCGGAGTATATCGCTTCTGAAAGGGTA AGATTCGACGCGCTCTCGATTGCAAAGAGGGGGATATGCGGGGATGAATTCTCCATGTCGCTGGATGTGT GCACGGAACGGTTTGCTGAACGGTTCATGGAACTACCAGCGCAGTTTACTAAAACTGAGAGAGATATAGC GATTTTATATGCCGCGCAGCTAACTATGTTGCGCTGTGCGGCTAACCTAGATCTTAGGAAAATTAAGATT GGGGTTTCAGCGGATCACGTTAAGAGATTTAAACAAAGACAGGCTAGATTTAAGACTCATCTACCTAAAA TGCGTACAGTCACGCGGCTGATAACGCCTGAACGAATCTCCGCACGCCTGGTTCAGCATCAGTTTACATG ACGCACCACCTAATCAACTTAC >JQ610676.1 Orungo virus isolate UGMP 359 segment 2, complete sequence GTATAATTGATCCGCGATGGCTTTCGAGCGTACGGTAGCCTTAACAAGAGAGTTCGCAAATGAAACAAGA CAGCATTTTGGGAAGTTTGATATAGTTGTAAACACGGAAAGCAGTATTGAGGACGAAGCAACGGGTGAGT GGGAGTTCGCACGAAGTGATGGGCGGCTTGGCATCTATGAAGAATTGCATAATAGCATCGCTTATAAACA TTATACGGCGATACTAAAAGGGCCGGAAAATTATTTGAATATTCCGCAGATTTTTGAGTCGAAAATCTAT AAGAATTTGAATAGGGATGATCTATTGGCGAGATATGATTATTCACAAATACTAAGATTCCGAGATAGTA AGATAGCGGGCCGATTGAGGATGCAGACGTATTTCGGGGACGTGCATGTAAGTGCGGGACTGATAGATTG TGTAGCGATGGTTCGTGAGCCTATTAGAAGGGAAGGGTGTCAGCATATGATGGTACGTAGTTTTGATTTG ATGAATGCGGGCCAGTTTTTCGATGTTCATGCGCCGAAGATCCACGCGTTTGATGACACGGTGATAGTTG AAAGCATGGACATCGAAAACGGAGTATGGCGCGTAAAGGCGGGTGGCGTAGGTTTGAAAACGCTGCAGGA AAAAGCGGAAGGAATACTCGGAGATTCAGTGTTAGACTTAGTCCACAACTATCTCAGCCAAAAGTGGGAC GCAGGTTATGTGGCCGCGAAGTTGCTGAGGTTTGATGAGACATATAAATTTCATCCAATTCATGAGGTGG GAATTTTCAACACATTGATGATACGCATGGGTCAACTCGATGACGCGTATAGGGATGGGTTCTTCGATTA TGACGAGATTCACGCTCAATTGATGAGGGATGTGACTTTTCAGTACCCAGAAGGTAAGCCAGTCTTTCGG AGAGATGGCCAATTCTTTAAAAACCTAGTGCAGTATTCGGGACGGGCGAAGATTGGGTATGAGACGTATT TACCAGACAGGGAATTGTGGACTGAATGGCGAACGAGATCATCCGTGCAAGATGTTGTACCCAAGTATAT GGAATGGTTGATAGGTAGATTACAGTTGGGGAAAATGCTTAAAATAATGTCGGAATTACCAGCGGATGTT ACGATGCCCAACTATCTTTTGAAAGCCATTACATATAAATCGAGTGTATATGTTAAGAGATTGATACTCA CGTACATCGCTTTACGAATGACGTTTGGACGGTGTCCAGTAAACAAAAAAGGAACGCTTGCCTCATCAGT CTTAGGTTTTCTACACGCGGTTATTCCGAATCTGGAGGAATTTCTGAGGAAAGCGGGAATAACGGATGAA CTATGTGTTAAAATGGAGTTTACGCCGAGACTTACTGTGATGGAGAGAGAGGATAGGAAGTCAGACAGAT ACGCCGTTGTCTTGCAAGTTTATAGGGAGAGGAAGCTGGAGGTTTTTACGCCTATAGACTCAGACTTGTT CGAAGATCGGAAAAAGTACTATGACGAGATCTTGAAAGATAAAAGATGGCGTGGAGAAGAGACTGATTAT TTTTTTAAAGACTCAGGGATACACCGGTCCCAGGTGGCTGGGTTGAGCGCAGAGCAGCTCACGTTGAAAA AGTTAGGACGCGACTCAGATTTCAACGACCCTAAACGGTTCGTTTCATACAGATATAGATATGTATCAGT TAAAGCGGGAGATATCTATGCAGAAGGGGAGAGCGTTATAACGGGACCATTATTGACACTGATTCCACAT GCCTACGAGTTCGGACGAGTATCTTTGATTGCGGGGCAGTCTCGAGATCAATCAAAGTTGGATAATGTCC CAGTCTACCGTGACCACATGAAATCCTTGGAGTTAAATGGCGTCGAAGTTGGCTATGACACTTGGTGTCC GTCGGGGCGTGCAGTACAAGTTAACTTGGAGTTGATATCTACCATCCTGTATAACGCGTTCAAACGTCCC ATCGTTAAGGGAGCATTATGTCACTTCGGTATGTGGGAATTTTATAACCCGAGACGTCCCGCGTATGAGT CAGTAGACGTGACAATCATGAATGCGATCTCGGATATCACTGGGAGCAAAAGATGGGCATATCAGGAAAT TCAAGATTGGTTGGCGAGATTTATTAAGGGGTCACGGGTTGACATGGTGACACACCGCTTCCACGGGGTA ACGAAGAAGCCAACAACTCGAGGTGAGATATGGATCTGGAACCTACTACTAGTTTTGATCTCAAATCCCA GTCTGGTGGTATCACAAACGGATAAATTTCCCTTATGGGTTTGCGCCTCTGATGGCTTACACCTGATTAG TACGGGAGTGAGGCATACCGATCATTTTAGACTTTGGGAGTGGCTACCATATACCGAAAAAATTGGGAAC GACGATTATATGTCGGTTCTCGCCACAGATAGAGAGTTGCGGCTTTTCGAAATCGCGTTGGAATACTTCG AGACTATACGCATTGGATATAGGAGAGATGAATGGACGCATTTGAAATCGAACATGTTTAATACCTGGCT GGGGACGCATTGTGGGGGTGTAGGGGACGGGATGATATTGTTTGACCCGGTGAGATTACCATCCCCGAGC AGCGTCCTTTATTTGATCTGTTCGCATAACTCAACTTTAGAAGGAATGATGTATTTACTACATGATATAT ACGGGAAGATCGTTGAAGAGAATACTGGTACTGTTTTCATAAGGGTACACGCGCGAGGTTGTAAGTGCTC GGTGTGCCGAGGGGGTTTACAGGGAGTTGACGTAAAGAATAGGTCAGCTATGCGTGTTCGTAGTATGCCA GGGAACATCGGCTTCGATTCAGTCAACCTAATTCTTTCAACATCAACGACGAGCGCGTTTGGGAACTCTT ACATTTACTTTAAGCTTATTAATCGTTAGTGAGGTGACACTCGCTCCGCGATCACGCAGATAC >JQ610677.1 Orungo virus isolate UGMP 359 segment 3, complete sequence GTATATATTCCTTCGCGATGGCGCATGCGGATGCTAAAGGAAGTGATCCGGAGAGAGAGGCGTTGAGGAA GAACCCTTATCTAGATGGAGACGTCTTGGGAACCGCAGGCGGCCAAGTTTTGTCGGTTTTCGCATTGACC GAAATTTTACAAAAAGTAAGACAGACGCAAGCTGAACTGGCCGCACACGCAATCGATTTGGATGGACCAG TCCCTGAGATCACCGGGGTTATTAAGAAGATAGCGGAGTTAGTTGACACCGTTCCATATGAAGTGCGCGA TTCACCACCTATAAGCTATAAGACTTTAAGCATGCAATCGCGCGACTTTGTCATCCAGGTGGACCAGTAT TACGAACAGATTTCGCAAATTGGAGGAGACGTCGGGGAGGACGAGCCGATGGAGTTCTATAAAACAATGC TAGAAAAGGTACGCTATTTAAGGAAGAGTGGAGCATTCATTTTGAGAGGTATTAAAACACGAGACTATAG GGGTAATGAAGTGGCGGAACCAGAAGCTTTAGGAGTCGAATTTCGTGAAGTACTTTCTAATTTTATTGCG GCGGATAGACAAGTGATACAGAATGCGTTAGATGCAGCCATAGTTGAAAATGGCCAGGTGGGTGATAGGG CGGTCGATGTTTATATGGCTGCTGTTTCTGAGCCATGGTATCGAATATATAATAGGTTACAGGCGTATAT TGAAGTTACGCAACTGAGAGAATTGAGGCGCGCAATGGAGTGGCTGAATGCACTTGGTCGTCGTAAGAGA GTGGAGTATGATGATTCATTCTTGACCGATTTTCGAGCGAGAGATACGGTATGGGTGCAGACGCAACAGC TTCCCGTTAACGCTCGTGTGATCTGGGAGGTTCCGAGGTCATATATAGCTAATTTGATGATGAATATCGC GTTATGTCTGCCACTAGGTGATTTCATAGCCCCAAACCCGAGGATTGGGTCGATAACGATAACCCAGCGA ATAACTATGACTACGCCTTTTGGGATGATGTCTGGGATGACCCCCACATCAATGCAGATGGACGATGTCA AGAAGATATATCTCGCGTTGCTCTTTCCCGGGCAGATCGTTTTGAATATTAAACCCGACCCAGCGCACTC CATCGATCCGGTACTGCGTATGGTTTCGGGTGTGTTGGGGCATTTGATGTTCACCTACGGTCCCAGATTT ACTAACATAACAGCTACAACATCGCAGTTGCTAGATAGTGCCTTGAGCGACTATTTTCTGTACATGCAAA ACAGTAGAGTTCCGGTGGTGTACGGACCAACTGGGTTACCTTTGGATTTTAGAATCGGTGGACGACAAGG CTATGATTGCAATAATCTGCGGGGAGACCCGCAGACTGGGAGGGGGTACAATGGATGGGGAGTCGTTGAC GTCGATCGAAGAGCACCCAGTCCGTACGATTTGGTTCAAAGATTTATACGTTACTGCAACATAGACTCTC GCGAGATCATCGACCCACGGACGTTTGGATTTAATATGAACTATCCGCTATATATGGAGATGATACGTGC ATTAGTTGCCGGAGGAAAAGATCAGGAAGCGGCGTACCTACGACAAATGTTACCTTTTCACATGATCAGA TTCGCACGGATCAATCAGATAATAAACGAAGACTTACTTAGCGCGTTTTCCTTACCAGATGAGGATTTCG ACGCATTATTTTTCAATATGCTGCGCGGCGAGTATGGAAAGGCTGAGCCGATCGTTTTAGATATCAGTTG GGCTTCAATTTGGTTTGCGTTCAACCGCTACTTTGACCCAGTCCAAAGGTCAGATCTATTATCAGTGGCA CCCATGATTGAGGCTGTCTATGCGTCAGAAATCTCCATTTTGCAATTGGATATGATCAACCTGCAGCAGT TGAGAGCGAGGGCACCTGATATGTTGATTAACGCAACTCCGAGTCAGTTTTGGAAAGCGGCGTTAGCATC CGCAGCAGAACCAGTAGTTGAGTTGATGAATCTTTCGCAGAGTTTTCGATTCATTAACGTCAGGGATATA ATACAGTGGACTAGAACACGAGAAGTGCAACCGTCGCTGGCTCTCACTTTGGAACGAGAGGCGTGGGCGG TCGCAGCTGACTTCGAAGAGTTGATGCTCGTAAACCATGTCTATTTTCATAGATCGGTGGTTCCCGAACC ACAGTTGGATGACATCGATGAATTTCGTAGGCAAGGATTCCTGTACACAAATCTATTGGAAGCGGCCCCC CCGCGTTTGTTAATCACCAATTATGATTACAACGTTGCGCTACTGCAGGCGAATCTTGGACAATTTAAAT CCGCTTTGAGGAGAATTCTGGATGACGGTGGTTGGGTGATGTTCGGGGGAATGCTGAGAAATGTTCGTTT GAAAATATACGATTCAAAGCCGGGAGAGGACGTCTTAAGCGAACTACCCTATCTTTACTCCGAGAAAGTG GAAAACGGTTTAAGGTTTGTGTCTTTGAAGTATGCGAGACGAGCAACTATTTATTTTTTAATGTATAAGG TTGAATATTCAAACACACCAGATGCTTTAATATCAGTCAACCCCACGTATACCATGACGAAGATTTATAC AAACAAGAGACTGGTCCGGAAAGTCAGGTCACCTGACGTTTTGAACATCGTTAATAAAAGAGTAGTGGCT TATAAAACGAAGATGCGGTTGATTGACATTACATCGGCACTGCGTCTTGGTGTTAAACTTGCAGCACCTA CAGTGTGAATTGACCACTCAACCTGTGGTGCTCGGTGGGGAATTCGCTTAC >JQ610678.1 Orungo virus isolate UGMP 359 segment 4, complete sequence GTATATTTCGAAATGGAGCCCTTTGCTGTGCTGCACCTATCAGCCAAGCTGGCACCGCTGGTGCGTGAGG GATTTATCCCGTATGTGGACTTGGATAATATTAAGACGTTGAATGACCTCTGGATTGAGATTGGCAAATG CTCATCTGATGTATATGCGGTTGGACGAATAAATAGGTGGACGATACGTCAGCTACGTGCGTATAGATTC ATATTCGTGTCGGAGAAGAGAACAATAACGTTGAAGGATATTAAGATCACACCTGACGTGCCAATAAGAT GCGCGGATGGGCTAGACTTAAAGTTACTTGAGACTACAATAGGACGTAAAAGATTAGTGTTGCGAAAGAC GTTTGGAGACATACTGCGAAAATATGCGTTAAGCCAGTCGGTACACTTGCATGGATCTGAGGCAGAAACC TTGAATATGGCGGACCCTACCATACATCACGTGAAGGGGTTACCAATGATAGCGCCAAATCATTTAAATC CAACGAAACCATGGAGTGATCTGGACGACACAGAAACCGATGAAAAACTAGTGTCAATGCTAGATTACGC GATGTATAGCGCGCAAGAAGTGCATTATGTTGGCTCGGGAGACGGTAGAACGATACGGCTGTTTGCAAAG AGGGACAAAAAGAGATTTGATAGAGCGAAGTGGGTGTGCTATGACCCTATTATGACTGATATTGGATTGA CAAATGTGATAGCTGTTAAACACTATGTCAATACTTTCAGGGATATGCTACCGTATTTAAATACTGGCGA CCGAGTTGAGAGATTACTATTGTGGGACGTAAGTGGAGATGCGGCGAAACATGATCGGTTTTGGGAAGCT CAGAGGACTGAGGAGGACCGGCGGGGAGAATCAGTTGCCGTGTCTTTAACGGAGTACTTCGCCTTGGCTA TTATCAAACATAGAATTCCAATCTATGAGGAAAAGTATAGATGCACCACTTCGTGGATTGTACCGCAGCC TGGCGCGGTCCGCGAGATGTACGAGATGAGGAATATCATACTGTTGAACGGTTTTTCTAGGGTAAATCGA GCGCATATCCCCCAGGCAGGCGTAATGGAGATTGAGGCTGATGTGTTACGTGAGATGGTGAGGAACTTCC ATGGAGCTGGTCGCGGTCGGCTGCTGAAGAAATCGCTTTATGAGAGTCTACATATCCATCAAGTTGATGG ATTGGAGGATTCGGAAGACGGAGCGCGGAGCGATCTCTTTTATTTAACCAACCAACGTAATGTTAATTCA ATACAATCAATCAGACGAGTTTTGGGAAATAGCACGGTGTCGACTTTATGGGTGTCAAGGGAACGAGTTT TCGAATATGATGACTTTAATTTTGACCGATCAGCGTTGATGCTCTGGCACAGGGGTAGAGAGCACTTACT ATTTGATGGCAACGGCGCGGTTCTATATTTGATGTGGCAGCACGGAGATAGATATAGAAAGGATGTGAAC TATGATCCTTCGTGGGCCGAACATTTTGCAGTATTGATCCGAGAGCCACAACCTTGGCGACCAGTTCCAG ATCTGTCCCTCTGCCGTTTTATTTCGCTAAGACGGGTGTCGACGGTTATTAGAATACGAGGCGATATTCA CAGGAAAAGTGATCAGGTAAAGCGTTTAGGGTTAGATTTGTCAGGACATCTGTTCGTAACGTTAATTTCT GGAGCGTATCTTGCCGATTTAAGATGGTGGTTCCGGATGATCATCCAATGGTCAAAGCAGCGTAGACAGG AAAAGATAGACGATTTGGCTAAGGTTAACGCTGAAGTGGTTGAATGGAAAGAAGAGAAAGCCGACGAACC GTGGCATCGCAAGGAGGACCTGATCGCTGCTTTAATCGCGGCAAAAAGTATCACCGGTGATCAGCATATA GATGGGTGGATTGCGGAGCTGAGGGATATGGAATGACATCCACCCGAGGGGCAATCGAACTACCTAC >JQ610679.1 Orungo virus isolate UGMP 359 segment 5, complete sequence GTAAAAAGAATCCTCTGCGTTCACTGGGCACGAACATGGATCAATTCTTGGATTCTTTTGATGTGACTGG AGACGAGGCGAATGCCTTGAGATTATTGAGAGCGGTTTCACCTGAGATGACATGCTCACATTTGAGGAGA GATTGTTTAATTGGAGGGATATGCGCAAAACAGTTTTTCAACGAGGTGCTGATGGCCATTCTGGATTCAA AAGATCGTCAGGCAGCGCGTCAGCTGGTGACATTAGCTGTGATGACCAGTTACGACCGAGAGCTAATCTG GCTCAACGTACTAAGGTCAACTGAAGTGCTGCCGGCAAATGATTATGCACATGAAATACAGAATGTGGTT CTGAACTTGAAGAGGGTCTTCATAGAGAGTGGGTTGGAAGAAAAATACAAGAGTTTCAGGGCGAAGCGGC GTCCAAACAGATCTCCGACCGAGGATGCTTTCTCTTTTTTGCCCTTTTTCTACATACCCATGAATGAAAC AAAACGGGTTGGAATAAAGAAACTCACTAGAGTTCGGAACCTAGGTGTTGCTTTTGTTGATAGACGCGAA GTGACGCATCATTTACCGTTCACGGTGGACGCTGCTAGAAGGGACCTTATGATGCTGAGAAATTTCACGC TGGAGCACCAAAGAACATGTACGTTTACGGGTTCAAAGAGCTTGATACATGGGATGATATTCTGTCCTGA GGAGATGGAACCTCTTTTCCAGAAGAAGGAGACAGCGCTAGAAATCTACAGAATTTGTGAGCAGGATATG AAGTTTATCAACTCAAGAGGTACGATGTCATTTCCCCGGTTTTTGATGCAACGTTTAGCGGTGAAAAACG CTTCATCTGATGCGATGGACCAGGTTATGTTGGGACGAACTCCGAGCGATGGACGTTTGATGTCGGTGAC TGGTGCCTCTTTCTTTTTTGGAGGGGGACCTGATTGGCGCAAGTGGGCGATGCCGGCGTTGTTGGTACGT GCTGCAAGACTGAGAACCGTCGTGACATCATTCGTTAAGGAGTGGTTTGATTCGACTCACACATGTCAAG TCTGTTTCCTAGTTGAAAAAGGTGTCGCCGATTCAATTCCGATCACTGATGTTCGTTTATCGGATGTGTG CGGCGTAGGACCAGTCGCATATGTTAGATCTTATGCACATGATGACGGGAACGCGCCGGATGTTCGCGTA CTGAGAAAAGGTGAAATCTTCAGATTGATGGGCGGACATTATGTTATGCAGACAACGGCGAGTACAATGG AATCATTGGTCGTTGCCGCGAAGGAGATGCAGCGTTTGGTTCGCGGCGATGGTTTTTGGGACACACCGTA TTGGGGTTTAAGCATGGCAAACCTTTGTAAAATCATGTTTCATGAAAACCCAGCAAAGGAACAGATTCAT TTCATGATTAAGCTCATAACCTTTGGGATGTTTGGTGGGGTTCAAAGGCACAATGGACTGTTCACAGACT GGGACAATTTGGAGGAGTTCTTGAAGAGGATGTTTTCTACGGAGGAGATGGGCGTTCGTATGTATGAGTC AAGTTACCATGCGATACTTCGTGCGTGCATACTACATCTACAGACCACTGCGAAGCCTACCCTCGTTCAA CTAACTCACGCGATCGAATCACTCGACCTTGGAATAGAAGAAGTTCCTTTCAATTTTTATGTCTAAAACA TCATAATAAACCATAAAGAGTCTGAGTAATTGTATCCCTGAGCTCTTACTCTTAC >JQ610680.1 Orungo virus isolate UGMP 359 segment 6, complete sequence GTATAAAATACCTCGGTCATCATGGGCAAATTCGTAAAGGCCCTGAAGAAAATAGGAAGGGGTACGGTGA AGGCACTGACGTCTGACGCTGCAAAGAAACTTTATACGACTTTAGGAAAGGCGGCGACGCGGTTTGCTGA AAGCGAAGTCGGCAGCGCGGCGATTGATGGATTGATACAAGGAACAGCGCAAACTTTACTGCACGGAGGC AGCGCGAGTGAAAATATCAAGCAAGCGGTTGTTTTAGGTGTTCTCCACAGCATGGAAACGCCGGCGGACC CTTTATCACCAGGAGAGCAAGGAGTATATGATAAGATTAAGGAAATTAAACGAGAAGAAAAGGAAGATCG GTTTTTCGAGGTTTACCAAGAAAAGATTGACGAAGAGCTTGGTTCAGATATGAAGCGAATGCGAGAAGTG GCAAAAGGTGATAAGCAGGCCATCAAGGAAATGGGTGGTGAAATTAAGGTTATCGAGAAAGCTTTCGATG GATTGATTAAAATAGATAAAATTCAAGATATGAAATTAACGCAGTTATATGGCGCGCTCGCGAAAGAGCG TACGGAGCGTACGCAGGACGAGATCAAAATGGTTAACGACTACACTGGAAAAATTGAAGCACTGCAATCC GCGATAACAGTTGAGCGGGACGCTATGCAAGAGGAGGCGTTGCAGGAGATAATAGAAATGGGAACGGATG TAATTGAAACCGCCTCCGAAGAGGTTCCGATATTCGGCCCTGCGGCTGCGAATGTAGTCGCAACTGGACG AATGGTTGAGGGCACCTTAAAGTTGAAGCAAGTAATCGAGAAATTAGCAGGGTTAGATGTTTCGCACACC ACAAGGGACAGAATCGAGCCGAAAGTTATAAACGCTATACTAGATCACGAGGGGGGCGTCGTACCGGAAA AGGAACTAGCGATTGGTGTATATAATAAGCTGCAGACAGTCAGAGAACATATGGCGGAACACAGCCATCT AAAGGAAATGGCAATACCAAGGCTGCAAAAGCTGTACACAGAACACGGCGATGAGTGGCATCCAAAGATA ATTACTCAAATGAAGGTAGCGAGAGAACATCAGCCGCAAATACATATATATTGCGCTCCATGGGAATCGG ATGACGTGTTTATGTTGCGAGTGTACGCGCCGCATCATATAGGGTGTGGTCTTTTCTTAGGAGTTGATTT AGAGAGTGAATTCATATTTTATGAGGATTTGATAGCAGAGAACCACGTATTGCGTGGTGGCGTCATTGAA GTCGTTGGAAGGAACTTCAGGCAAGCAGTGCGCGAATTTCTTTTGATGGCTGCGAGCAAGATTGAGAACA CTATGCATGTCAAGCGGTTAGTGAGAAGCTCGGCTTCCTCACCTATCTACTTGTCAAGCATACACTATGA GTGTACATTTGATGAGATAAAACAGAACGTTTTACAGATCGTGCACGACGAGCAGTTACAGATGCATCTG TTACGTGGTCCGAAACATTTCCAAAGACGTGCTCTGATGGCGGCTGTTGTTAAGGGTGTTAAGATCTTAG AGGGGCCAGATACGAAGGCGCTCATGCTACAGGGTTTGTAAGTGGCTGAAAGGTATCAAGAATAC >JQ610681.1 Orungo virus isolate UGMP 359 segment 7, complete sequence GTATAAATATCTAGAGATGGACGCCATTGCGGCACGTGCTCTGTCCGTGATCCAGGACTGCATTAGCGTT GGTGATGGGAGAATTAATTTAGACCCTGGGGTCATGGAGAGATTGGGAATTGCTATTAATAGATACAATG GGCTAACGAACAATGTGGTGACGATCAGACCAGGGACACAAGATGAGCGGAACGCGATGTTTTTTATGTG TCTGGATTTCGCGTTGGCGGCATTGAACATACAAATTGGGGTTATATCTAGGGAATACACGCAGGCGCTG GCCACTATCGGTGTGCTGGCAACGGGAGAAATCCCTTACTCGGTTGCCGCTATGGATACGATTGTACGGA TTAGCGGAACGATGGCGACATGGGGTCCCACCGAATATGAGTTACCGCCATATGCGCGGTCTCAGATGAT ACAAATGAGCGGACGTTACTACGTTCCAGCGGGGGCGAATTCACATGCTGCCCATGTCGATCCCACGACG GTAGAGATTTCTTTAGCTGCTGGAGTAGTAGTGAATGTTACGAACGCGTTACAGCCTAGGGGCGTTGCGC CCACAATGATGTACATGGTATGGCATCCGTTGGCGATTTTCGCGAATCCTCAGGGTGCTACAGCTGCTTC GCCTCAAAATATGACTTTGGTGGTTGGTGGGCTGAATATAGCAGCTGGCACGATCATCGCTTGGGATACC GTCGCTCCTATACAGCTATCGAATCAGGGAGGACAAGAGGGAATGATCGCGATCCGGATACTATGGATGA CAACATTAGATAAATCTATGACAAGCTTGCCGGAGATGCGTGAAATAATCTCAAGATGCTATAGCTTTAT GCACCCTTCATGGCACGCGCTGCGAGGGACGGTCCTACATTCGCTTAATCTGCCGACTAATAATCCACCT ATGTTTGCGCCTGCTACGCGACAGGAGGCATTGGCGTACTTAATTCTGGCAAATTTAGCGGATGCATATA CGTCGTTAAGGCCTGATTTCACCATACAAGGAATGCTCGCGGTTCCACAGGTCATTGACAGGCAGTTCGT TCAGGGTGCGTACAGGTAGAGGACGCCTTCCACAGTGGGCGTCTCATGTAGCCCCAGCGTCGGTCCCTTA CGTGTGCTGTAACGCGTAGGTAGAACGTCATATGATATTAAGTTAC >JQ610682.1 Orungo virus isolate UGMP 359 segment 8, complete sequence GTAAAAAATCTCCTCTCTTTTCACGATGGCTCAAGAAGTTAAGAGAAAGTTCACTAGAACAGTGTGCATC TATGATCCACAAAATCGCACATTCTGTGGTCGAAGTGCCGCGATGGTGTGTAACAGTTATTATACAATTA AAATGGGTAGAACGACGCAGTGTGGAGTGTCGCCGGTGCCCGTACCAAAGTCATATGTGCTAGAGATACC GGATGTTGGCTCTTATCGCATCTTAGATGGGCAGGATTCAATCAGTGTCATCGTTACTGAGACGGGCGTC GAGGCAACGTCTGAGAGGTGGGAAGAGTGGAAATTCGAAGGCGTTAATTGCGTTCCGATGGTTGTTCAAA CGGAGATTGGGAAAGGCCTGATTGACATGGAGATCAAGTTTAGTAAGGGAATGGGGCTCGTTAAACCTTA TGTAAAGAATGAGGTTAGCAGAACTGAGATCCCACGGCTACCGGGTGCTTCAGTCATTGATACACCGATA CGCGATTACCGTCAACTTTTGAAGGATCAGAGAGATGAAAGAAGGGCGGCGCTCGATGCGATCGCATGCG ACATATGTCCCACTCTATCAAGAATGCTAGGGGCGAATATTACAGACGGATCGCCACAAGTCGAAGAAGT CGCAACACGGCCAACACAACCTCCAGCTCAGCTGAAGCTGGATGTGCCTAACTGGGACCAACCGACTGAT TCAGATGATGAGGATGAGGAATCCAAGCGCGTGACAACGCAAAGTAATGCTGATACTGAGGAACAAGTGA CTTTCGAAGATTGCATTACCGATCAATACTTTTCGAAAACGGGTGAATTCGCGAAGAAGTATCCTGAAAT GTTAGCGGGACTTTCCGCGAAGATGCCGAGTGAAACAGGTAGGTTTACAAAAATATTGACGACGAGGAAG GCTCAATGGAATAACGTTCCTCTTTTCGAATTAGATCCAAACGGGTTTACATATCATTTTAGTAAGCTGG GTAATTCGACGAGGATCTTCTGTGTCCAACGTGATTTGAGCTACATGGTTTTACCCGCAGGGCAAGGCCT GAAGTAGCGGTGCATGTAGCCGGGAGAGGTACAACTTAC >JQ610683.1 Orungo virus isolate UGMP 359 segment 9, complete sequence GTATAAAACATCCTCCCATGTCATGTTGGTGTTGGCACCGGGTGATCTCATAGACGGAGTGCGTCATCAA TTATCTGAAAGAGGAGTCAGGATTCGTTTACGGGAAACGAATGATGACGAGCAAAAGGATGAACCAGTGG ATACGGGAGGCGGCAAGCCGGGTGATCGAATCGGGAAGGAAGTTGGAAATGCCGAGAGTGAACAGTCTTC CGATAAAGAGAAGAAGGCTGGAGGAAGTTCGGATTCAGAGCTCGGGGAAGGTGGAGATGGAAGGCGACAA ACTGAGAAGGCTGAAGGCGGAGAGAATGGAACTAGAGATATTGGCATTCAGGATAAAGACAAACAATTTG ATCGGCGCGCTAATCCAGATAACGCGTTGGACAGAGAAAATCGATCAGGAGATCCGCAACTTAAATATGG ATTTGCAACCAAACGAATTGCAAACGCCGTTGAGTCAAAGTACCACTGCGGTGGATTTGAGGGGCCAGGA TCGGATGGATACATCAAACTAGAAATGTCAATAATGAAGGCGCTAGGTTTAAACCGAGATGACCACATCG AACAATTGGAGTTCCTCAAGCACCAACAGAAAGGGCCCAGCAAAATTCAAGTCAGAACGATCGCTTCCGA AACCAAATTAAAAGAGGTGTGTAATATAATGGACAAGCCGGTGGCTCCCACAGCGAGAAGTGCGGTGAGT GTAGTTAGTAACCGTGTTGAAGACGTGAAGGAAGCCCAGGTGTATTTTACAACTCCAACAGGAGATAGAG GCTGGAAAGAAGTAGCAAGGAAAGCGAGCCAGACACCAAACATTCGAGCGTACATTAATCCGGAGGGAGA TGATCCTAAAGTCTCATTTCTGCATTTAATCGATCATCTGTGAGGTCACGGTCTGAACTACGGGCATGCT GGGTGTTTCAGTTAC >JQ610684.1 Orungo virus isolate UGMP 359 segment 10, complete sequence GTATAAAATTCCGTTCGCAATGTACCGTGACTTGCTGAATATTCACACTGAAATGAGGGGCCCGCCATCT TATGAACCTAGTGGCTTAGCTCAAGCGACAGCACCGACTATGAGGTTTGGGGATAGAGAAGATGAGGAAG GCCTATTGAGGGCGCGCGAGCTTTCGCTTAATGTGTTAACGAATGCTATGACTAATACAACGGGTGCGAA TGAGGCGATTAAGAATGAGAAAGCGATGTTTGGGGCATATGCCGATGCACTTAGGGATACTCCGGAGATT AGGGTGGTGAAAAGGCGGATAAATGAACGTACGTTAGAAAAGTTGCATAAAATGCGACGTTCGCTGCACG GAAGACGAATGTTCGTACGAATGTTGTTGGCGATAAATGTGGGATTGGCGCTATTAACCTCGGCAGTGAA TGTGGTACGCCAGTCGCTAGATGATTTTGGGAAAGAAAGGTGGATAGTTGGTGGAGTGTGGTGGTTAGGT GAGGTCGTCGTTACGATTAATTTTGGAACGACTGTTGCTACGTTGGTATTAATGAGGATACATGGCGCAT TAAACGCGCAGCTTCAAACCATTAAGCGTGACATATATAAGAAAAGCTCGTATAATGAGGCCGCTGCCAT GCATTGGAAAGGTGAAATTAGCTTAATTGAGGAGCTAGCGGCGAGCCACGTACCTGCGGGATCGAATGTC TAGTCCGCGACATCGAAAAATTCACTTGTCCAGGTGAAGCCCGTAGAACGGATCGTCTTAC ================================================ FILE: tests/input/TestFastqBam/expected.fastq1 ================================================ @myseq/1 CAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + """"""""""""""""""""""""""""""""""""""""""""""""" ================================================ FILE: tests/input/TestFastqBam/expected.java1_7.sam ================================================ @HD VN:1.4 SO:queryname @RG ID:A PL:9.75 LB:Alexandria SM:FreeSample CN:KareemAbdul-Jabbar myseq 77 * 0 0 * * 0 0 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT """""""""""""""""""""""""""""""""""""""""""""""""" RG:Z:A myseq 141 * 0 0 * * 0 0 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT "#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"# RG:Z:A ================================================ FILE: tests/input/TestFastqBam/expected.java1_8.sam ================================================ @HD VN:1.4 SO:queryname @RG ID:A LB:Alexandria SM:FreeSample CN:KareemAbdul-Jabbar PL:9.75 myseq 77 * 0 0 * * 0 0 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT """""""""""""""""""""""""""""""""""""""""""""""""" RG:Z:A myseq 141 * 0 0 * * 0 0 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT "#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"# RG:Z:A ================================================ FILE: tests/input/TestFastqBam/expected.java1_8_v1.5.sam ================================================ @HD VN:1.5 SO:queryname @RG ID:A SM:FreeSample LB:Alexandria PL:9.75 CN:KareemAbdul-Jabbar myseq 77 * 0 0 * * 0 0 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT """""""""""""""""""""""""""""""""""""""""""""""""" RG:Z:A myseq 141 * 0 0 * * 0 0 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT "#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"# RG:Z:A ================================================ FILE: tests/input/TestFastqBam/in1.fastq ================================================ @myseq/1 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + """""""""""""""""""""""""""""""""""""""""""""""""" ================================================ FILE: tests/input/TestFastqBam/in2.fastq ================================================ @myseq/2 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT + "#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"# ================================================ FILE: tests/input/TestFastqBam/inHeader.txt ================================================ @HD VN:1.4 SO:queryname @RG ID:A PL:txtPlatform LB:txtLib DT:2014-11-10 SM:txtSample CN:txtCenter ================================================ FILE: tests/input/TestFeatureReader/GU481072.1.tbl ================================================ >Feature gb|GU481072.1| 52 1524 gene gene_desc GPC 52 1524 CDS product glycoprotein precursor transl_table 1 protein_id gb|ADU56618.1| 3294 1585 gene gene_desc NP 3294 1585 CDS product nucleoprotein transl_table 1 protein_id gb|ADU56619.1| ================================================ FILE: tests/input/TestFeatureReader/GU481073.1.tbl ================================================ >Feature gb|GU481073.1| 46 345 gene gene_desc Z 46 345 CDS product Z protein transl_table 1 protein_id gb|ADU56620.1| 7116 448 gene gene_desc L 7116 448 CDS product polymerase transl_table 1 protein_id gb|ADU56621.1| ================================================ FILE: tests/input/TestFeatureReader/KM821772.1.tbl ================================================ >Feature gb|KM821772.1| 57 356 gene gene Z 57 356 CDS product Z protein transl_table 1 protein_id gb|AIT17124.1| 7118 456 gene gene L 7118 456 CDS product polymerase transl_table 1 protein_id gb|AIT17125.1| ================================================ FILE: tests/input/TestFeatureReader/KM821773.1.tbl ================================================ >Feature gb|KM821773.1| 48 1523 gene gene GPC 48 1523 CDS product glycoprotein precursor transl_table 1 protein_id gb|AIT17126.1| 3294 1585 gene gene NP 3294 1585 CDS product nucleoprotein transl_table 1 protein_id gb|AIT17127.1| ================================================ FILE: tests/input/TestFeatureReader/LC889323.1.tbl ================================================ >Feature dbj|LC889323.1| 1 2280 gene gene test_gene locus_tag TEST_gp1 1 2280 CDS product test protein protein_id dbj|TEST123.1| ================================================ FILE: tests/input/TestFeatureReader/NC_026438.1.tbl ================================================ >Feature ref|NC_026438.1| 1 2280 gene gene PB2 locus_tag UJ99_s1gp1 db_xref GeneID:23308131 1 2280 CDS product polymerase PB2 protein_id ref|YP_009118631.1| ================================================ FILE: tests/input/TestFeatureReader/test1-S.tbl ================================================ >Feature gb|KM821998.1| 59 1531 gene gene GPC 59 1531 CDS product glycoprotein precursor transl_table 1 protein_id gb|AIT17576.1| 3308 1599 gene gene NP 3308 1599 CDS product nucleoprotein transl_table 1 protein_id gb|AIT17577.1| ================================================ FILE: tests/input/TestFeatureReader/test2-L.tbl ================================================ >Feature gb|KM821997.1| 76 375 gene gene Z 76 375 CDS product Z protein transl_table 1 protein_id gb|AIT17574.1| 7132 470 gene gene L 7132 470 CDS product polymerase transl_table 1 protein_id gb|AIT17575.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610675.1.table ================================================ >Feature gb|JQ610675.1| 13 3921 CDS product VP1 prot_desc RNA-dependent RNA polymerase protein_id gb|AFX73387.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610675.1.tbl ================================================ >Feature gb|JQ610675.1| 13 3921 CDS product VP1 prot_desc RNA-dependent RNA polymerase protein_id gb|AFX73387.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610676.1.table ================================================ >Feature gb|JQ610676.1| 17 2899 CDS product VP2 prot_desc T2 protein protein_id gb|AFX73388.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610676.1.tbl ================================================ >Feature gb|JQ610676.1| 17 2899 CDS product VP2 prot_desc T2 protein protein_id gb|AFX73388.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610677.1.table ================================================ >Feature gb|JQ610677.1| 18 2738 CDS product VP3 prot_desc outer capsid and cell attachment protein protein_id gb|AFX73389.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610677.1.tbl ================================================ >Feature gb|JQ610677.1| 18 2738 CDS product VP3 prot_desc outer capsid and cell attachment protein protein_id gb|AFX73389.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610678.1.table ================================================ >Feature gb|JQ610678.1| 13 1926 CDS product VP4 prot_desc capping enzyme protein_id gb|AFX73390.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610678.1.tbl ================================================ >Feature gb|JQ610678.1| 13 1926 CDS product VP4 prot_desc capping enzyme protein_id gb|AFX73390.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610679.1.table ================================================ >Feature gb|JQ610679.1| 36 1676 CDS product NS1 prot_desc non-structural protein 1 protein_id gb|AFX73391.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610679.1.tbl ================================================ >Feature gb|JQ610679.1| 36 1676 CDS product NS1 prot_desc non-structural protein 1 protein_id gb|AFX73391.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610680.1.table ================================================ >Feature gb|JQ610680.1| 22 1581 CDS product VP5 prot_desc outer capsid protein protein_id gb|AFX73392.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610680.1.tbl ================================================ >Feature gb|JQ610680.1| 22 1581 CDS product VP5 prot_desc outer capsid protein protein_id gb|AFX73392.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610681.1.table ================================================ >Feature gb|JQ610681.1| 17 1069 CDS product VP7 prot_desc T13 protein protein_id gb|AFX73393.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610681.1.tbl ================================================ >Feature gb|JQ610681.1| 17 1069 CDS product VP7 prot_desc T13 protein protein_id gb|AFX73393.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610682.1.table ================================================ >Feature gb|JQ610682.1| 26 1057 CDS product NS2 prot_desc non-structural protein 2 protein_id gb|AFX73394.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610682.1.tbl ================================================ >Feature gb|JQ610682.1| 26 1057 CDS product NS2 prot_desc non-structural protein 2 protein_id gb|AFX73394.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610683.1.table ================================================ >Feature gb|JQ610683.1| 23 883 CDS product VP6 prot_desc helicase protein_id gb|AFX73395.1| 111 512 CDS product NS4 prot_desc non-structural protein 4 protein_id gb|AFX73396.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610683.1.tbl ================================================ >Feature gb|JQ610683.1| 23 883 CDS product VP6 prot_desc helicase protein_id gb|AFX73395.1| 111 512 CDS product NS4 prot_desc non-structural protein 4 protein_id gb|AFX73396.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610684.1.table ================================================ >Feature gb|JQ610684.1| 20 703 CDS product NS3 prot_desc non-structural protein 3 protein_id gb|AFX73397.1| ================================================ FILE: tests/input/TestFeatureTableFetch/JQ610684.1.tbl ================================================ >Feature gb|JQ610684.1| 20 703 CDS product NS3 prot_desc non-structural protein 3 protein_id gb|AFX73397.1| ================================================ FILE: tests/input/TestFeatureTableFetch/orungo.table ================================================ >Feature gb|JQ610675.1| 13 3921 CDS product VP1 prot_desc RNA-dependent RNA polymerase protein_id gb|AFX73387.1| >Feature gb|JQ610676.1| 17 2899 CDS product VP2 prot_desc T2 protein protein_id gb|AFX73388.1| >Feature gb|JQ610677.1| 18 2738 CDS product VP3 prot_desc outer capsid and cell attachment protein protein_id gb|AFX73389.1| >Feature gb|JQ610678.1| 13 1926 CDS product VP4 prot_desc capping enzyme protein_id gb|AFX73390.1| >Feature gb|JQ610679.1| 36 1676 CDS product NS1 prot_desc non-structural protein 1 protein_id gb|AFX73391.1| >Feature gb|JQ610680.1| 22 1581 CDS product VP5 prot_desc outer capsid protein protein_id gb|AFX73392.1| >Feature gb|JQ610681.1| 17 1069 CDS product VP7 prot_desc T13 protein protein_id gb|AFX73393.1| >Feature gb|JQ610682.1| 26 1057 CDS product NS2 prot_desc non-structural protein 2 protein_id gb|AFX73394.1| >Feature gb|JQ610683.1| 23 883 CDS product VP6 prot_desc helicase protein_id gb|AFX73395.1| 111 512 CDS product NS4 prot_desc non-structural protein 4 protein_id gb|AFX73396.1| >Feature gb|JQ610684.1| 20 703 CDS product NS3 prot_desc non-structural protein 3 protein_id gb|AFX73397.1| ================================================ FILE: tests/input/TestFeatureTableFetch/orungo.tbl ================================================ >Feature gb|JQ610675.1| 13 3921 CDS product VP1 prot_desc RNA-dependent RNA polymerase protein_id gb|AFX73387.1| >Feature gb|JQ610676.1| 17 2899 CDS product VP2 prot_desc T2 protein protein_id gb|AFX73388.1| >Feature gb|JQ610677.1| 18 2738 CDS product VP3 prot_desc outer capsid and cell attachment protein protein_id gb|AFX73389.1| >Feature gb|JQ610678.1| 13 1926 CDS product VP4 prot_desc capping enzyme protein_id gb|AFX73390.1| >Feature gb|JQ610679.1| 36 1676 CDS product NS1 prot_desc non-structural protein 1 protein_id gb|AFX73391.1| >Feature gb|JQ610680.1| 22 1581 CDS product VP5 prot_desc outer capsid protein protein_id gb|AFX73392.1| >Feature gb|JQ610681.1| 17 1069 CDS product VP7 prot_desc T13 protein protein_id gb|AFX73393.1| >Feature gb|JQ610682.1| 26 1057 CDS product NS2 prot_desc non-structural protein 2 protein_id gb|AFX73394.1| >Feature gb|JQ610683.1| 23 883 CDS product VP6 prot_desc helicase protein_id gb|AFX73395.1| 111 512 CDS product NS4 prot_desc non-structural protein 4 protein_id gb|AFX73396.1| >Feature gb|JQ610684.1| 20 703 CDS product NS3 prot_desc non-structural protein 3 protein_id gb|AFX73397.1| ================================================ FILE: tests/input/TestFeatureTransfer/adenovirus_truncated/expected/mapped.tbl ================================================ >Feature sample 1740 2010 CDS 2100 2300 note sequencing did not capture all intervals comprising CDS product multi-interval-protein-with-missing-middle-section 500 800 CDS product complete-single-interval-protein ================================================ FILE: tests/input/TestFeatureTransfer/adenovirus_truncated/input/aligned_1.fasta ================================================ >TEST123456.1 Synthetic adenovirus-like reference for testing ATGCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA >sample ATGCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- ---------------------------------------------------------------------- --------------------------------------------------GATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA ================================================ FILE: tests/input/TestFeatureTransfer/adenovirus_truncated/input/ref.fasta ================================================ >TEST123456.1 Synthetic adenovirus-like reference for testing ATGCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA TCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATC GATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGAT CGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA ================================================ FILE: tests/input/TestFeatureTransfer/adenovirus_truncated/input/ref.tbl ================================================ >Feature gb|TEST123456.1| 1740 2010 CDS 2500 2700 3200 3400 product multi-interval-protein-with-missing-middle-section protein_id gb|test001| 500 800 CDS product complete-single-interval-protein protein_id gb|test002| ================================================ FILE: tests/input/TestFeatureTransfer/internal_partials/expected/mapped.tbl ================================================ >Feature sample ================================================ FILE: tests/input/TestFeatureTransfer/internal_partials/input/aligned_1.fasta ================================================ >TEST_INTERNAL ref sequence for internal partials test ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC >sample ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------ATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCGC ================================================ FILE: tests/input/TestFeatureTransfer/internal_partials/input/ref.fasta ================================================ >TEST_INTERNAL ref sequence for internal partials test ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ================================================ FILE: tests/input/TestFeatureTransfer/internal_partials/input/ref.tbl ================================================ >Feature gb|TEST_INTERNAL| 500 100 CDS 650 400 product two-interval-protein protein_id gb|test_internal_001| ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0026-1.tbl ================================================ >Feature LASV_NGA_2018_0026-1 7 306 gene gene Z 7 306 CDS product Z protein transl_table 1 <6841 401 gene gene L <6841 401 CDS note sequencing did not capture complete CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0026-2.tbl ================================================ >Feature LASV_NGA_2018_0026-2 13 1485 gene gene GPC 13 1485 CDS product glycoprotein precursor transl_table 1 3262 1553 gene gene NP 3262 1553 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0097-1.tbl ================================================ >Feature LASV_NGA_2018_0097-1 71 370 gene gene Z 71 370 CDS product Z protein transl_table 1 7127 465 gene gene L 7127 465 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0097-2.tbl ================================================ >Feature LASV_NGA_2018_0097-2 56 1528 gene gene GPC 56 1528 CDS product glycoprotein precursor transl_table 1 3305 1596 gene gene NP 3305 1596 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0541-1.tbl ================================================ >Feature LASV_NGA_2018_0541-1 8 307 gene gene Z 8 307 CDS product Z protein transl_table 1 7064 402 gene gene L 7064 402 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0541-2.tbl ================================================ >Feature LASV_NGA_2018_0541-2 <1 1470 gene gene GPC <1 1470 CDS note sequencing did not capture complete CDS product glycoprotein precursor transl_table 1 3247 1538 gene gene NP 3247 1538 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0611-1.tbl ================================================ >Feature LASV_NGA_2018_0611-1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0611-2.tbl ================================================ >Feature LASV_NGA_2018_0611-2 52 1524 gene gene GPC 52 1524 CDS product glycoprotein precursor transl_table 1 3301 1592 gene gene NP 3301 1592 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0664-1.tbl ================================================ >Feature LASV_NGA_2018_0664-1 12 311 gene gene Z 12 311 CDS product Z protein transl_table 1 7068 406 gene gene L 7068 406 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0664-2.tbl ================================================ >Feature LASV_NGA_2018_0664-2 37 1509 gene gene GPC 37 1509 CDS product glycoprotein precursor transl_table 1 3286 1577 gene gene NP 3286 1577 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0959-1.tbl ================================================ >Feature LASV_NGA_2018_0959-1 43 342 gene gene Z 43 342 CDS product Z protein transl_table 1 7099 437 gene gene L 7099 437 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0959-2.tbl ================================================ >Feature LASV_NGA_2018_0959-2 52 1524 gene gene GPC 52 1524 CDS product glycoprotein precursor transl_table 1 3301 1592 gene gene NP 3301 1592 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0998-1.tbl ================================================ >Feature LASV_NGA_2018_0998-1 <1 195 gene gene Z <1 195 CDS note sequencing did not capture complete CDS product Z protein transl_table 1 <6915 290 gene gene L <6913 290 CDS note sequencing did not capture complete CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_0998-2.tbl ================================================ >Feature LASV_NGA_2018_0998-2 <1 1199 gene gene GPC <3 1199 CDS note sequencing did not capture complete CDS product glycoprotein precursor transl_table 1 <2580 1267 gene gene NP <2580 1267 CDS note sequencing did not capture complete CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1024-1.tbl ================================================ >Feature LASV_NGA_2018_1024-1 <1 274 gene gene Z <2 274 CDS note sequencing did not capture complete CDS product Z protein transl_table 1 7030 368 gene gene L 7030 368 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1024-2.tbl ================================================ >Feature LASV_NGA_2018_1024-2 37 1509 gene gene GPC 37 1509 CDS product glycoprotein precursor transl_table 1 3286 1577 gene gene NP 3286 1577 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1079-1.tbl ================================================ >Feature LASV_NGA_2018_1079-1 55 354 gene gene Z 55 354 CDS product Z protein transl_table 1 7110 448 gene gene L 7110 448 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1079-2.tbl ================================================ >Feature LASV_NGA_2018_1079-2 53 1525 gene gene GPC 53 1525 CDS product glycoprotein precursor transl_table 1 3302 1593 gene gene NP 3302 1593 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1177-1.tbl ================================================ >Feature LASV_NGA_2018_1177-1 65 364 gene gene Z 65 364 CDS product Z protein transl_table 1 7121 459 gene gene L 7121 459 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1177-2.tbl ================================================ >Feature LASV_NGA_2018_1177-2 56 1528 gene gene GPC 56 1528 CDS product glycoprotein precursor transl_table 1 3305 1596 gene gene NP 3305 1596 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1375-1.tbl ================================================ >Feature LASV_NGA_2018_1375-1 23 322 gene gene Z 23 322 CDS product Z protein transl_table 1 7079 417 gene gene L 7079 417 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1375-2.tbl ================================================ >Feature LASV_NGA_2018_1375-2 39 1511 gene gene GPC 39 1511 CDS product glycoprotein precursor transl_table 1 3288 1579 gene gene NP 3288 1579 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1381-1.tbl ================================================ >Feature LASV_NGA_2018_1381-1 <1 297 gene gene Z <1 297 CDS note sequencing did not capture complete CDS product Z protein transl_table 1 7054 392 gene gene L 7054 392 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1381-2.tbl ================================================ >Feature LASV_NGA_2018_1381-2 26 1498 gene gene GPC 26 1498 CDS product glycoprotein precursor transl_table 1 3275 1566 gene gene NP 3275 1566 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1392-1.tbl ================================================ >Feature LASV_NGA_2018_1392-1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1392-2.tbl ================================================ >Feature LASV_NGA_2018_1392-2 <1 1418 gene gene GPC <3 1418 CDS note sequencing did not capture complete CDS product glycoprotein precursor transl_table 1 <3148 1486 gene gene NP <3147 1486 CDS note sequencing did not capture complete CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1643-1.tbl ================================================ >Feature LASV_NGA_2018_1643-1 <1 299 gene gene Z <3 299 CDS note sequencing did not capture complete CDS product Z protein transl_table 1 7056 394 gene gene L 7056 394 CDS product polymerase transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/LASV_NGA_2018_1643-2.tbl ================================================ >Feature LASV_NGA_2018_1643-2 17 1489 gene gene GPC 17 1489 CDS product glycoprotein precursor transl_table 1 3266 1557 gene gene NP 3266 1557 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/expected/test.tbl ================================================ >Feature LASV_NGA_2018_1643-2 17 1489 gene gene GPC 17 1489 CDS product glycoprotein precursor transl_table 1 3266 1557 gene gene NP 3266 1557 CDS product nucleoprotein transl_table 1 ================================================ FILE: tests/input/TestFeatureTransfer/lasv/input/KM821997.1.tbl ================================================ >Feature gb|KM821997.1| 76 375 gene gene Z 76 375 CDS product Z protein transl_table 1 protein_id gb|AIT17574.1| 7132 470 gene gene L 7132 470 CDS product polymerase transl_table 1 protein_id gb|AIT17575.1| ================================================ FILE: tests/input/TestFeatureTransfer/lasv/input/KM821998.1.tbl ================================================ >Feature gb|KM821998.1| 59 1531 gene gene GPC 59 1531 CDS product glycoprotein precursor transl_table 1 protein_id gb|AIT17576.1| 3308 1599 gene gene NP 3308 1599 CDS product nucleoprotein transl_table 1 protein_id gb|AIT17577.1| ================================================ FILE: tests/input/TestFeatureTransfer/lasv/input/align_mafft-ref-lasv-ISTH2376_1.fasta ================================================ >KM821997.1 Lassa virus strain ISTH2376-NIG-2012 segment L Z protein (Z) and polymerase (L) genes, complete cds ATCCTAGGCAATTCAGCTGGACTTCAGTGGTGAGGCTCACTTTGGTGAATTCCTGAATTA AAGTACCTAGTC-AAAATGGGCAACAGACAGGCCAAATCGACAAAAGTCGATGAACATCA AAGAGCTCATCTAGTGCCAGATGCATCCCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGGTTGGTAGAGTGCAACAATCACTACCTGTGTCTCAACTGCCTCAG CCTGCTCCTCAGTGTCAGCAGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAGGCT AAAGGCAGCGACACAGCCGAGCGCACCATCAACTGAGGCGACCCAGACCACAACACCTCC ACCATACACCCCATGATCCCGGGATCAACACTCCCACCTCCACCGCCCACCCCNNACCCC CGGGGGGACCCCCCGCCGGGGGCCCCCCCGGGGGGGCAGGCGGTCCAGCTCTACTCGATG TCCTCAACACACTTCTCTGGCCCAAACAACTCCGAACATGTCCTTCCCTTCAGTCTTAGG CTACCCCCACTTGACTGTATCATCACTCTTTGCCTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATTAGCATAA TCCATAGGTCTCTGTTTAGTAAGGATTGAGACAATGTCCACATCCGTCCATTGAACCCTT TGTTTCAATCTATCAGACATCATTGATTTCAATGCACCAACCAAAAGATGCGGGGAACTA TCACCAATCTCCCTTACAAACATTTCCAGATCTTGATCTTGGATAGATGGTGTAAATGCA GCTACCCTTTTATCAGATTCCCACAGTGCTCCTCTACACACAACCAATGGCACTGGTTCG TTGTCAGGTCCGACCTTGGTGAAATCAAACTCACTGAACTGCAGTTTATCTGGATTAATA ATCAGCTTCATGGGTATAACATCCCCCAACTGCTGTGTATCCTTTAAGAATTCATTTACC ACATCTGATTCAACAAACCAGGATGATCTACCTTTGAAAGTTGGGCCCGACAAAGCAAGT CTCCAACAGTCAGGCAGGACACATGGGCTCACAGACCCAGAATATAGTGCCTGTATATCA TTCACTACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGGATAGAAAAA GTCTCTTTAAAACTAGCATCCTGACTCTTGATTTTATACCTAATTGTCTGGTAAAACTGA ACAGAGTCTACTGGCATTGTGCTTAACAAATCAAAGAAATCTTCAAGGGAGTCTAACCTC AATTCCTCTGTCAGGCCTGAAGCAATGAGCTGGTTCAAGTTTATCTGAGCTGGTTCCATG TCAAAATCTATCCATGCATAGCCCATCATTAGATCAAACTTAAACATGGGTCTCTCTATC CCTTTGTAAATGGCTTTCTCAATGAATGAAGAGAAGGGACCCAGTCGCTGTAAACCTTCA CCCTCTGGTATTGAAGTTTTATGAGGAAACCAAGTGAATGACCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGACTTGTCTCATAAAGTTGTCCACTGCA TCAGCAGTACTAACCACCCTTTCCTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTT CTCAGTTCAGAAGCCAATACAACATAATGTTCCTCCCTTTTCCACTTGACAATGTGTGAA ACAAGTGAAAGTGCCTCGCAATTCACATCTAGGGCAACACAAAGGTCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTGGAAGCTAAATCACTCATAAATGGCAAGATGTGCTTC TCAAATAGAGACGGATATAAACGTCTCAAAGAGTGGATGATGTGGCTCATGCCAACCCTG TCCTCTAGCAGTTTCGAAACAGTGGGTCTCAAGGGGAAATAATCACAAGGGTTATGCTTA AAAAAGTCCAAGATCTGAGCTTGTTTTGGTTCCCCGAGCACCCACGCTCCAAGTTCTATA GCTGTAGATAGTGTTATGCACATATAATCCCATAGAAGAGGTCTTAAATAAGTGACAACA GTACTACCTCCATCTTTGGCTTCTGGTGAGACTTTCCATATCTGAATTCCATTGTCCCCC ATCACTGCTTCAACACCCTGAGTCCCCAATAGTTGAGTCTGTATGGATCTAATGTAAAGA TTCTCCTTGTTGGGGCCTCTGACGCACTTGCTACCCAGTGTTCTGCACAACCCCACAAAC CCAGATGCTATAGAACTTTGGAAAGCTGATTTATTTATTGCTTCAGACAGTAGCTTCTGA GCTCCTCTAGTGAATGTGGATGACAACCTATTTTGCAAAGTCTTTACTATTGTAGGGACC CTTTCATCTTCCAGATTCACAGCGCCAGAATAGATAATCTTTTGCCGCAACACCATTCTA AGTGGGTGATGGGTGGCTAAGTTCAACCAATGAAACCCCAAGTCAGAATCAGACAAAGGT TCAATGCCTAGAAGTTTAAACAAATTCTGTAATGATGTTGTGTGTTCACCTGATAGGTAG TTGGTGGTGAATTCCTCATGAAGCTCACCAGTTTTTAATTTATTGAACAATATCCTAAGC ATTGACCTCATCTTTTTGCATGCATCAGGAATTAGCCTCTCGATCTGCCTCATTATCCTA TAGCTACGATTCCCGTCCACCCAATCTCTTACATCAGTCTCGCAGTTCAAAAGGAATGGA TCAATAGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTCTGAATTTGATTGCAC AGATCAACTGGGACACCATTGGCCACAGACTGATCAATTATGGTATCAATTGTTTCTGCC AATTGATGGGGTTCTTTGCACTTTATGTTATGTAAAGCTGCAGCAACAAATTTTGTTAGC AGGGGCACCTCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCA ATTGCACTCTTTGGACTTACAAATTTATTTAACTGATCACTCATGTAGTAATGGAACTCT AACAATGTTTTGAATTCTTCTGCATCTCTTGAAAGTAATTCTGTTAAGTTCTGATCAAAT AATGATATCTGATCGTCACTGGACGTGTAAGCATCAATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGTAAG ATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGGACTGTGCCAGTTTGAAAG TTGGAATTAAAGAAGTCTTCGGTCATTGATTGAGTTGTCTTCTTCTTCAATCCAAGTTGG GACTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCATGTTAATAATGTTGACAAGTAATCTTTACCTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAGATTAAGTTTTGAATTATTGTTAGAAACAAGAAAGGACACATCATA GGACCCCACTTACTGTGATCCATACTATATGATACATGTGCCGATGAGACATTCAGTTTC ATTGACAAAATGGCATTATCAAACTCCTTCTCATTGTTTAGACAGCTGCCTGCTAATTGT GATGTGAGTGCTTCAAAGTAATCCTCAATGAGCCTTGTGAACATTTTTGTCCTTAAATCT CCGATGTACAACTCTCTATTGCCACCCACTTGTTCCTTGTAAGACAAAGAAAACTTTAGT CTACCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCTTGACTGTAAAAACAC AGGTTTTTTAGCATTGCTGTAGTACAGTTAGTTAGGGACAAGGCCTTGCTAAGTGCTTCA GAGTTACTCTCACGTTCACTTATCCTGACATCATCAGCCAATCTCCCTGTATCAAATTTA AAGTTCAGACACTTGCTCTTATAATGAGAGTATCTTCCCATCAGCTTATTCCCATTCATC ACTAGTAAAATTGACTTAAAGCACTGAAAATATTCTTGGTCCAAAAAAGTCCTAGTCACT ACTGCTTTTGTCAGCTCACTAATAGGACATGAATTCATTGGCCCTACATAAAAATATTTA CTTCTCAAAGTAGCATCATTGTAGATATTCTCACAAATTTTGATGTATTGATCTTCAGAC AGGATCTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATCAACCTT ATTAAGAGTTTTTCTTCCACCACTTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCT GCCTGCTGCTGTCCTTTTGGTTGCTCCCTATACTGACTGACAATATTGTCAACAGTGCAC CTCAGTTGGTCGAAGTATTCTGATGCTCCTCCATCCAATAGTATCTCATCTAGATCAGCA TTGTTGGTGTCACCACTCCCTCCTTTGGACCCCAGAACAAGATTACTCATTGCTTGCTGT ATTTTGTAATCATAATCCTGTTTATTAAGCAAGAATTTGCCTTTACGTGCAAACACCTCA GTTAACTGTGTGACAGCCAAAGCTGTAAGTTTATTGAAGTCATAATCCAGAATACGGGAC CCATCTGTATACTTATTCACAACGACGCTCTTATTGCTGGCCAGGTCCAAGGCTGTTGCA CAGCCGCTTGTAATAAGAGGGTCTCGCAGTGTCTTTTTTACCTCCTTTTCTTTGAACAAT GAACCATTGTTAAAACTGGACACAAGGAGTGAAATAAATTTCTTGGAAACACCAGGCTTT TTATACCTAACTTTTTCCGCATCTACACAACATTCTTTACTTAGGAATTTTCTTGCATTA TAAACCATTTCAACAAGCTCTTCCTCCAATGCATCATCCTTCGGGTTCACACTCACATGT CCAAATTCCAACTTGGGCTCAAGGAATTTTTCAAAGCATTTGATCTGGTCAGTCAGTCTG TCAGGTGTTTCTTTTGTAATGAAGTGACACATATAGGAGATATTTAAAACAAACTTGAAT CTATTGGTCATCATACTGACAACTTCTTCAGACAGAATTATCTTTAATAAGTAACGAACA AGTCTGTAGAGCAGATATTCTACTTCTGTGATCAAATCCTCCCTGATTTTCTCAATCAAG TCCTTATGATAAAAATCGGATACAAAGGCCATCACAAAATACCTGATGTTTTGTAAAAAT TTTTGACACCTTTTACTAGGGTGTGTCAGTATTAAAACTAAAATCATTTTAGTTAACAAT TTAATAGTGATCAATTGTTCAGACAACTCTGTGCACTCTTCTATCCAGCTGACCATAACA TCGACTACTTTCTGCAGCACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTGGGATCA GCATAAAAGGAACAAACCTCTCCAACTACATTATTGTTAATAGCATAACACTTTGAGCAT TCACCTGTTTTTTGATACAATAGTTTGAATCCCATCTTATTGATGAAGAACTCTTGGCAG TAGGCCTCTTTGCACCTCACAACCTGGTATCTAGAGGGTCCAAATTCATTTTGCCTTAGT TTCACTGTAGAAGACGTTTTCATTGAGTTAATCAAAGCCAAGCTCAATGATGATAGTCTT TCTAAGTCTGTTGCACCTAGAATGTCAATAACGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGGTAACTCATAGTGGGTGTGATGCCAGAGATCTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGGATTTTGAAATCAATTCCATAAGAGTTGGTTTCTATGCCA ACCTCCCTCAAAGCATTAGCGGCTCGAGTTAAAACTCTGTTGATGATGGCAAGGAGCTCA CAATTTCGTTCTTCTTTGGGTGATAGGACACCCACGTTCTTGTCTCTAGTTCTCTTCCTG CTATCTATCCACCGTTTTAGATCTCTTTTTGTTGATTCCAATGAAACTAATCTGTCGTTA ACACTCACAAAACAGGAGCCCAACCAACCAGCAAGGAGCTTGTCACCATGCCTTATACAG TCCAGTCGGCTGGCAAGAAGGATCAGAACGTCAAAAACAAGGAGAAGTTTCCTTCTGGTG TTGAGGATCCTCAGAGACTTTATCTTATTTAAAAAAGATCTCCAACATTGCATCTGTTCA CTTTGAGAGTCAACAGCCTTTTCCTTGCTAGAATCCAAATCTGCATATAAGAATTTAAGG ACTGGAGAGGCTCTTCGGAACTGAAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCT ATTTTATCACAATATAGCTTTCTGAAATCCTCTAACAACTTCATCTTATCAGTCTTAACA AATTGACTTTCTATGTTCCCTTGCCTTAGTTTGTTCCTGAAGATTTGATACTCCTCCTCA ATCAAACTCTTGACTTCATGAGAGGTAAGCTTGTTATTAATGCCTTGATGACAACTAGAA ATTATTTCTTCAAAGTGTTTTGCACGCTTGTCAATTAGAACATTGATGCTTTCAATTCCT GAGAGCCTCCCAGACGTTAAGGCTAAAGATTCACAAAGCCTCGAATATTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAATATTTTAACAAGGTGAATAAGGTGTCCCTGAGTTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTTGTCCTGCCGTCTATGAGAGGG ATGAGCTTGATGCCAACAGACTCCAAATCGTTCTTTAATTGTTCTAGTTTCCTGTGATCT TCTAAATACTTCTGTTCGAAATTGGCGGGGGATGATCTGACAAAGCACTCAAGTAAGATT AGAACATTGCCAGTGAGTTTGTAGCCGTCAGGCACCACAAAGCATAAAGCTGGAGTGAGA ATCCCATGATCACTCAGAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACATCCA TTGGCCTTACAGGAGTCAATCTCAATGCAAAGAGATAGTAGTTTCAATCCCTCCATAAGC AACATTCTGGGTTCGGTTTGGACCAAAAAAGCTAATTTCTGTCTTGACAACTTCTCATTA TCTGCAAGGTACTTTGAGATGAGATCTTTAGCATTAGCAATGTCTTCCTCCATCGCCAAC TGTGGCACCTGTGTTGGGTTTGGGTTTATGCCAATATGGCTTGTGGGTCGGCTGGTGATG TCCTAAAGAAGCTCCTACAGAAATGAGAGACAATATGCCTAGGATC >LASV_NGA_2018_0026-1 ------------------------------------------------------------ ---------GCC-AAAATGGGCAACAAGCAGGCCAAATCGACAAAAGTTGATGAACATCA AAGAGCTCATCTAGTGCCAGATGCATCTCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGGCTGGTGGAGTGTAACAACCACTACCTGTGTCTCAACTGTCTCAG CCTGCTTCTCAGCGTCAGCAGCAGGTGTCCGATCTGCAAAATGCCTCTTCCCACCAGGCT AAAGGCAGCAACACAGCCGAGTGCACCCTCAACTGAGGCGACCCGGAACACAACACCCCC ACCATACACCCCGTGATCCCAGGAACAACACTCCCANNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCAACTCTATTCAATG TCTTCAATACACCTCTCTGGCCCAAACAACTCCAAACATGTTCTTCCCTTCAGTCTCAGG CTGCCCCTACTTGACTGAATCATAACTTTTTGCTTTGATTTACTATAGCAAAGGGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATCAGCATAA TCCAAAGGTCTCTGTTTNNNNNNNNNNNNNNCAATGTCCACACCCGTCCATTGAATTCTT TGTTTCAATCTATCAGACATCATTGATTTCAATGCACCAACTAAAAGATGTGGGGAACCA TCACCAATCTCCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATGAAATTATCCACTGCA TCAGCAGTACTAACCACCCTTTCCTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTT CTCAGTTCAGAAGCCAATACAACATAATGTTCCTCCCTCTTCCACTTGACAATGTGTGAA ACAAGTGAGAGTGCCTCGCAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTAGAAGCTAAATCACTCATAAATGGCAGTATGTGCTTC TCAAATAGNNNNNNNNACAAACGTCTCAAAGAATGAANNNNNNNNNNNNTGCCAACTCTG TCCTCTAGCAGTTTCGAAACAGTGGGTCTTAAGGGGAAGTAATCACAGGGATTGTGTNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNA TCAATAGGATACTTGGCATAACATAACAAACTTAAAGTCCTCTTCTGAATTTGATTACAC AGATCAACTGGGACACCATTGGCCACAGATTGATNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNACATTAAATGGGATCTCAACCATTTTG TGCATATGCCACGTTAATAATGTTGATAGGTAATCTTTGCTTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAGATTAGGTTTTGAATTACTGTTAGAAACAAGAAAGGACACATCATA GGGCCCCACTTACTGTGATCCATACTATATGAAACATGTGCCGATGAGACATTCAGCTTC ATTGACAAAATGGCATTATCAAACTCCTTCTCATTGTTTAGACAGCTGCCCGCTAACTGT GATGTGAGCGCTTCAAAGTAATCTTCAATAAGCCTTGTGAACATCTTTGTCCTCAAATCT CCGATGTACAACTCTCTATTGCCTCCCACTTGTTCTNNNTAAGACAAAGAAAATTTTAGT CTGCCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCCTGACTGTAAAAACAC AGGTTTTTCAACATTGCTGTAGTACAGTTAGTTAGNNNNNNNNCCTTGCTAAGTGCTTCA GAATTACTCTCACGTTCACTTATTCTGACATCCTCAGCTAATCTTCCTGTATCAAATTTA ANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNACAATATTGTCAACAGTACAC CTCAGTTGGTCGAAGTATTCTGATGCTCCTCCATCCAGTAGTATCTCATCTAGATCAGCA TTGTTGGTGTCACCACTCCCTCCTTTGGACCCCAGAACAAGATTACTCATTGCTTGCTGT ATCTTGTAATCATAATCCTGTTTATTAAGCAAGAATTTGCCCTTACGTGCAAACACCTCG GTCAACTGTGTGACAGCTAAGGCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGATCAGTCAGTCTG TCAGGTGTTTCCTTTGTAATGAAGTGGCACATATAAGAGACATTTAAAACAAACTTGAAC CTATTGGTCATCATACTGACAACTTCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNA AGTCTGTAGAGCAGATACTCAACTTCTGTGATCAGATCCTCCCTAATTTTCTCAATCAAA TCCTTATGATAAAAATCGGATACAAAGGCCATCACAAAATACCTAATGTTTTGTAAAAAT TTCTGACACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGTTGTTAATAGCATAACACTTTGAGCAT TCACCTGTCTTTTGATATAATAGTTTGAATCCCATCCTGTTNNNNNNNNNNNNNNNNNNN NNNNNNNNNTTGCNNCTCACAACCTGATATCTAGAAGGTCCAAANNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNATCAAAGCCAAGCTTAATGATGATAGNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCA TCATAAACATCACAATCAAGAATCTTAAAATCAATTCCATAAGAGTTAGTTTCTATACCA ACCTCCCTCAAAGCATTAGTGGCTCGAGTTAGTACTCTGTTGATGATTGCAAGGAGCTCA CAATTCCGTTCTTCTTTGGGTGATANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNGGATCCTTAGAGACTTTATCTTATTCAGAAAAGATCTCCAACATTGCATCTGTTCA CTTTGAGAGTCAGCAGCCCTTTNNNNNNNAGAATCCAAGTCTGCATACAAGAACTTAAGA ACTGGAGAGGCTCTTCGAAACTGGAATGTTAACTGTNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNCCAATCAGGTATTTGTTCATTGTAAAATGTTGTCCTGCCGTCTATGAGAGGG ATGAGATTGATGCCAACAGACTCCAAATCATTCTTTAATTGTTCTAGTTTCTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCGGGGGATGATCTAACAAAGCACTCAAGTAAGATT AGAACATTACCAGTGAGTTTGTAGCCGTCAGGCACCACAAAGCATAAAGCTGGAGTGAGA ATCCCATGATC------------------------------------------------- ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ---------------------------------------------- >LASV_NGA_2018_0097-1 -----AGGCAATTCAGCTGGACTTCAGTGGAAAGACTCTTTTTAGTGAATCCCTGAATCA AAGTGCCTAATC-AAAATGGGCAACAAACAGACTAAATCGACAAAAGTGGATGAACATCA AAGAGCTCATCTAGTGCCAGATGCATCCCATTTAGGCCCTCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGCCTGGTGGAGTGCAACAACCACTACCTGTGTCTCAACTGCCTCAG CCTGCTCCTCAGCGTCAGCAGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAAGCT AAAGGCAGCAGCACAACCGAGCGCACCCTCAACCGAGGTGACCCAGAACACAACACCCCC ACCGTACACCCCATGATCCCAGGATCAACACTCCCATCTCCATCACCCNNNNNNNNNNNN NNNNNNNACCCCCCGCCGGGGGCCCCCCCGGGGGGTGGGGCGGCCTGGCTCTACTCAATG TCCTCAATACACTTCTTCGGCTCGAACAGCTCTGAGCATGTCCTTCCCTTCAGTCTTAGG CTGCCCCCACTTGACTGAATCATAACTCTTTGCTTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGGGATTCAAGAAGTTCACTCAGTATATCCGCATAA TCTACAGGTCTCTGTCTTGTGAGGATTGAGACAATGTCCACACCCGTCCATTGAATTCTC TGTTTCAATCTATCAGACAACATTGATTTTAGTGCACCAACTAAAAGGTGCGGGGAACTA TCACCAATCTCCTTTACAAACATCTCCAAATCTTGATCTTGGATGGGTGGTGCAAACGTA GCCACCCTTGTATTAGATTCCCATAGTGCTCCCCTACATACAACCAATGGCACTGGTTCG TTGTCAGGTCCGACCTTGGAAAAGTCAAACTCACTGAACTGCAGTTTATCTGGATCAATT ATCAGCCTCATAGGTATAACATCCCCTAACTGCTGTGTATCCTTTAAGAATTCATTTATC ACATCTGATTCAACGAACCAAGCTGACCTGCCTTTGAAAGTTGGACCCGACAAAGCAAGT CTCCAACAGTCAGACAGAACACATGGGCTCACAGACCCAGAATATAGTGCCTGTACATCA TTCACTACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGGATAGAAAAA GTCTCTTTAAAACTAGCATCCTGACTTTTGATTTTATACCTAATTGTCTGATAAAACTGA ACAGAGCCCACTGGCATTGTGCTTAACAAATCAAAAAAATCTTCAAGGGAGTCCAGCCTC AATTCCTCTGTCAGACCTGAAGCAATAAGTTGGTTCAAGTTTATCTGAGCTGGTTCTATA TCAAAATCTATCCATGCATAGCCCATCATTAGATCAAACTTAAACATAGGTCTCTCTATC CCTTTGTAAACAGCTTTCTCAATGAATGAGGAGAAGGGACCCAGTCGTTGCAGACCCTCA CCCTCCGGAATTGAGGTTTTATGAGGAAACCAAGTGAATGATCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGTAGTACTAACCACCCTTTCTTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTT CTCAGTTCAGAAGCCAATACAACATAATGTTCCTCTCTTTTCCACTTAACAATGTGTGAG ACAAGTGAAAGTGCCTCACAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTGGAAGCTAAATCACTCATAAATGGCAATATGTGCTTC TCAAATAGAGACGGATATAAACGTCTCAAGGAATGAATGATGTGGCTCATGCCAACTCTG TCCTCTAGCAGTTTCGAAACAGTGGGTCTCAAGGGAAAGTAATCACAAGGATTATGTTTA AAAAAGTCCAAGGTCTGAGCTTGTTTTGGTTCCCCGAGCACCCACGCTCCAAGTTCTATA GCTGTAGATAGTGTTATGCACATATAATCCCATAGAAGAGGTCTCAAATAAGTGATGATA GTGTCACTTCCATTTCTGACTTCTGGTGAAACTTTCCATATCTGGATTCCATTGTCCCCC ATCACTGCTTCAACACCTTGAGTCCCTAGTAGCTGAGTCTGTATGGATCTAATGTAAAGA TTCTCCTTGTTGGGGCCCCTAACACACTTGCTACCTAGTGTTCTGCACAACCCTACAAAC CCAGAAGCTATAGAACTTTGGAAAGCTGATTTATTTATTGCTTCAGACAGCAGCTTCTGA GCCCCTCTAGTGAATGTCGATGACAACTTATTTTGCAAGGTTTTCACTATTGTAGGGACC TTTTCATCTTCCAGATTCACAGCACCAGAATAGATTATCTTCTGCCGCAACACCATTCTA AGCGGATGATGGGTGGCTAAATTCAACCAATGATACCCCAAGTCAGAATCAGACAAAGGT TCAATGTCTAGAAGTTTGAACAAATTCTGCAATGATGTTGTGTGTTGGCCTGATAAGTAG TTGGTAGTGAATTCCTCATGAAGCTCACCAGTTTTCAATTTATTGAACAGTATCCTAAGC ATTGACCTCATCCTTTTGCATGCATCAGGAATTAGCCTCTCAATTTGCCTCATTATCCTA TAACTACGATTCCCGTCCACCCAATCTCTTACATCAGTCTCACAATTCAAAAGGAATGGA TCAATAGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTTTGAATCTGATTACAC AGGTCAACTGGGACACCATTAGCCACAGACTGATCAATTATGGTGTCAATTGTTTCTGCC AATTGATGGGGTTCTTTGCACTTTATATTATGTAAAGCTGCAGCAACAAATTTGGTTAGC AAGGGTACCTCGTCACCCCAAACATAGAACCTCGATTTGAACTCTGCAACAAACCTGCCA ATTGCACTCTTTGGACTCACAAATTTATTTAGCTGATCACTCATGTAGTAATGGAATTCT AACAATGTTCTGAATTCCTCTGCATCTCTTGAGAGTAACTCTGTTAAGTTCTGATCAAAC AATGAAATCTGATCGTCACTGGACGTGTAAGCATCAATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGCAGG ATACCCTGTCCCATATCAAGAATTGAACTAATGTGCGAGGGCACCGTGCCAATTTGAAAA TTGGAATTAAAAAAGTCTTCAGTCATTGACTGAGTTGTCTTCTTCTTCAGTCCAAGTTGG GATTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCATGTTAATAGTGTTGATAGGTAATCTTTACCTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAAATTAGGTTTTGAATTATTGTTAGAAACAAGAAGGGACACATCATG GGGCCCCACTTACTGTGATCCATACTATATGATACATGTGCTGATGAGACATTCAGCTTC ATTGATAAAATGGCATTGTCAAACTCCTTCTCATTGTTTAGACAGCTGCCCGCTAATTGT GATGTGAGTGCTTCAAAGTAATCTTCAATGAGCCTTGTGAACATCTTTGTCCTTAAATCT CCGATGTACAACTCTCTATTGCCTCCCACTTGTTCCTTATAAGACAAAGAAAATTTTAGT CTACCAGTGTCAGGGCCAGTTGAATTATAAGATTGGGGTGATTCCTGACTGTAAAAACAC AGGTTTTTTAACATCGCTGTAGTACAGTTAGTTAGGGACAAGGCCTTGCTAAGTGCTTCA GAATTGCTCTCACGTTCACTTATCCTGACATCATCAGCCAATCTTCCTGTGTCAAATTTA AAATTTAGACACCTACTCTTATAATGAGAGTATCTCCCCATCAGCTTATTCCCATTCATT ATTAATAAAATTGACTTGAAGCACTGGAAATATTCTTGGTCCAAGAAAGTTCTAGTCACC ACTGCTTTTGTCAGCTCGCCAATAGGACATGAGTTCATTGGCCCTACATAAAAATATTTA CTCCTCAAAGCAGCATCATTGTAGATATTCTCACAAATTTTGATGTATTGATCCTCAGAC AGGATTTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACATTTTATCAACCTT ATTAAGAGTTTCTCTTCCACTACCTTGTCAAGATCAGAAATCGAAGGTGCATTGTGGTCT GCCTGCTGCTGTCTTTCTGGTTGCTCCTTATACTGACTGACAATATTGTCAACAGTGCAC CTCAGTTGGTCGAAGTATTCTGATGCTCCCCCATCCAATAGTATCTCATCTAGATCAGCA TTGTTGGTGTCATTACTCCCCCCTTTGGACCCTAGAACAAGATTGCTCATTGCTTGCTGT ATTTTATAATCATAATCCTGTTTATTAAGCAAGAATTTGCCTTTGCGTGCAAATACTTCA GTTAATTGTGTGACAGCCAAAGCTGTGAGCTTGTTGAAGTCATAATCCAGAACACGAGAT CCATCTGTATACTTATTCACAACAACACTCTTATTACTGGCCAAGTCCAAAGCTGTTGCA CAGCCGCTTGTGATAAGAGGGTCTCGCAGTGTCTTCTTTACTTCTTTTTCTTTAAACAAT GAGCCATTATTAAAACTAGACACAAGGAGTGAAATGAATTTTTTGGAGACACCGGGTTTT TTATACCTAACTTTATCCGCATCTGCACAACACTCTTTGCTAAGAAACTTTCTTGCATTG TAAACCATTTCAGCAAGCTCTTCTTCCGATGCATCATCCTTTGGGTTCACACTCACATGT CCAAATTCCAGTTTGGGCTCAAGGAATTTTTCAAAGCATTTAATCTGATCAGTCAGTCTG TCAGGTGTTTCTTTTGTAATGAAGTGACACATATAAGAGATATTTAAAACAAACTTGAAT CTATTGGTCATCATACTGACAACTTCTTCAGACAAAATTATCTTTAATAAGTGGCGAACA AGTCTGTAGAGCAGATATTCAACTTCTGTGATCAAATCTTCCCTGATTTTTTCAATTAAA TCCTTGTGATAAAAATCAGACACAAAGGCCATCACAAAATACCTAATGTTTTGTAGAAAT TTTTGACACCTTTTACTAGGATGTGTCAGTATCAAAACTAAAATCATCTTGGTTAACAAT TTAATAGTGATCAATTGTTCAGACAACTCTGTGCACTCCTCTATCCAGCTGACCATAACG TCAACTACTTTCTGCAATACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTAGGATCA GCATAAAAAGAACAAACCTCTCCAACTACATTGTTATTAATAGCATAACACTTTGAGCAT TCACCTGTCTTTTGATACAATAGTTTGAATCCCATTCCATTGATGAAGAACTCTTGGCAG TAGGCCTCTTTGCACCTCACAACCTGGTATCTAGAGGGCCCAAATTCATTTTGCCTTAGT TTCACTGTGGAAGACGTCTTCATTGAGTTTATCAAAGCTAAGCTCAATGATGATAGTCTT TCCAAGTCTGTTGCATCTAGAATGTCAATGACGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGGTAACTTATTGTGGGTGTAATACCGGAGATTTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGGATCTTGAGGTCAATTCCATAAGAGTTGGTTTCTATGCCA ACCTCCCTCAAAGCATTAGTGGCTCGAGTCAAAACTCTATTGATGATAGCAAGGAGCTCA CAATTCCGTTCTTCTTTAAGTGATGGGACACCTGCATTTCTGTCTCTAGTTCTTTTCCTA CTGTCCATCCACCGTTTTAAATCTCTTTTTGTTGATTCTAATGAGACCAATCTATCGTTA ACACTCATAAAACAGGAGCCCAGCCAACCAGTAAGGAGCCTGTCACCATGCCTTATGTGG TCCAGCCGGCTAGCAAGGAGAATCAGAACGTCAAAAATAAGGAGAAGTTTCCTCCTGGTG TTGAGGATCCTCATAGATTTTATCTTATTTAGAAAAGATCTCCAACATTGCATCTGTTCA CTTTGAGGTTCAGCAATCCTTTCCTCACTAGAGTTCAAGTCTGCATACAAGAACTTAAGG ACTGGAGAGGCTCTTCGGAACTGGAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCT ATCTTGTCACTATATAGCTTTCTGAAATCCTCTAATAACTTCACTTTATCAGTCTTAACA AATTGACTTTCTATGTCCCCTTGCCTAAGTTTGTTCCTGAAGATTTGATACTCCTCCTCA ATTAAACCCTTGACTTCATGAGAGGTGAGCTTGTTATTAATGCCCTGATGACAACTAGAA ATTATTTCCTCAAAGTGTTTTGCACGCTTGTCGGTTAGAACATTGATGCTTTCAATTCCT GAGAGCCTCCCAGACGTTAAGGCTAAAGACTCACAAAGTCTTGAATACTCAGACTCTTCG AATAATGCATTACTTTCTTGTGAATATTTTAACAGGGTGAATAAGGTGTCCCTGAGCTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTGGTCCTGCCGTCTATGAGAGGG ATGAGGTTGATGCCAACAGTCTCCAAATCATTCTTTAATTGTTCTAGTTTTTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCGGGGGATGACCTAACAAAGCACTCAAGTAAGATT AGAACATTACCAGTGAGTTTGTAACCGTCAGGTACCACAAAACACAAAGCTGGGGTAAGA ATCCCATGATCACTCAGAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACATCCA TTAGCCTTGCAGGAGTCAATCTCAATGCAAAGAGATAACAGCTTCAACCCCTCCATAAGC AGCATCCTGGGTTCAGTTTGGACCAGAAAAGCTAACTTCTGTCTTGATAGCTTCTCATTG TCCGCAAGGTACTTTGAGATAAGATCTTTAGCATTGGCAATGTCTTCCTCCATTGCCAAT TGTGGCGCCTGTGTTGGGTTTGGGTTTGTGCCAGTATGGCTTGTAAGTCAGCTGGTGGTG CCCCACAAAAGCTCCTACAAAAATGAGAGACAATATGCCTAGGAT- >LASV_NGA_2018_0541-1 ------------------------------------------------------------ --------AGTC-AAAATGGGCAACAGACAGGCCAAATCGACAAAAGTCGATGAACATCA AAGAGCTCATCTAGTGCCAGATGCATCTCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGGCTGGTAGAGTGCAACAATCACTACCTGTGTCTCAACTGTCTCAG CCTGCTCCTCAGCGTCAGCAGCAGATGCCCGATCTGCAAGATGCCTCTTCCCACCAAGCT AAAGGCAGCAGCACAACCGAGCGCACCATCGGCCGAGGCGACCCAGAACACAACACCTCC ACCATATGCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGCTCTACTCAATG TCCTCAATACACCTCTCCGGCCCAAACAACTCTGAACATGTCCTTCCCTTCAGTCTTAGG CTGCCCCCACTTGACTGAATCATGACTCTTTGCCTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGGTTCAAAAAGTTCATTCAGTACATCAACATGA TCCAAAGGTCTCTGTTTTGTGAGGATTGAAACAATGTCTACACTCGTCCATTGAATCCTC TGCTTCAATCTATCAGACATCATTGATTTTAATGCACCAACTAAGAGGTGCGGAGAACTA TCACCAATTTCTCTTACAAACATTTCCAAATCTTGATCTTGGATAGGTGGTGTAAACGTA GCCACCCTTCTATCAGATTCCCACAGTGCTCCCCTACACACAACCAATGGCACTGGCTCG TTGTCAGGTCCGACCTTGGAGAAGTCAAACTCACTAAACTGCAGTTTATCTGGATTAATA ATCAGCTTCATGGGTACGACATCCCCCAGCTGCTGTGTATCTTTTAAGAATTCATTTATC ACATCTGATTCAACAAACCAGGCTGACCTACCCTTGAAAATTGGACCCGACAGAACAAGT CTCCAACAGTCAGACAGAACACATGGGCTCACAGGCCCAGAATACAATGGCTGTACATCA CTCACTACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGGATAGAAAAA GTCTCTTTAAAACTGGCATCCTGACTCTTGATTTTATACCTAATTGTCTGGTAAAACTGA ACAGAGTCCAGTGGCATTGTACTTAACAAATCAAAGAAATCTTCAAGGGAGTCTAACCTC AATTCTTCTGTTAGGCCTGAAGCAATAAGCTGGTTCAAGTTTATCTGAGCTGGTTCTATA TCAAAGTCTATCCATGCATAGCCCATCATTAGATCAAACTTAAACATAGGTCTCTCTATT CCTTTGTAAATTGCTTTCTCAATGAATGAAGAGAAGGGACCCAGTCGTTGCAGACCTTCA CCCTCTGGTATTGAGGTTTTATGAGGGAACCAAGTGAATGACCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCG TCAGCAGTACTAACCACCCTCTCCTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTT CTTAGCTCAGAAGCCAACACAACATAATGTTCCTCCCTCTTCCACTTAACAATATGTGAA ACAAGTGAAAGCGCCTCGCAATTCACATCTAAGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTAGAGGCTAAATCACTCATAAATGGCAATATGTGCTTC TCAAATAGAGACGGATATAAACGTCTCAAAGAGTGAATGATGTGGCTCATGCCAACCCTG TCCTCTAGCAGTTTCGAAACAGTGGGTCTCAAGGGGAAGTAATCACAAGGATTATGTTTA AAAAAGTCCAAGATCTGAGCTTGTTTTGGTTCCCCGAGCACCCATGCTCCAAGTTCTATG GCTGTGGATAGTGTTATGCACATATAATCCCATAGGAGAGGTCTTAAATAAGTGACAACA GTATTACCTCCATCTTTGATTTCTGGTGAAACTTTCCATATTTGGATTCCATTGTCCCCC ATCACTGCTTCAACACCTTGAGTCTCTAGTAGCTGGGTCTGTATGGACCTAATGTAAAGA TTCTCCTTATTGGGGCCTCTGACACACTTGCTACCTAGTGTTCTGCATAACCCCACAAAC CCAGACGCTATAGAACTCTGGAAAGCTGATTTATTTATTGCTTCAGACAGTAGCTTCTGA GCTCCTCTAGTGAATGTCGATGACAACCTATTTTGCAAAGTTTTTACTATTGTAGGGACC TTTTCATCTTCTAAATTCACAGCACCAGAATAGATTATCTTTTGCCGCAACACCATTCTA AGCGGGTGATGGGTGGCTAAGTTCAACCAATGAAACCCCAAGTCAGAATCAGACAATGGT TCAATGCCTAGAAGTTTAAACAAATTCTGCAATGATGTTGTATGCTCACCTGACAGGTAG TTGGTAGTGAATTCCTCATGAAGCTCACCAGTTTTTAATTTATTGAACAATATCCTAAGC ATTGACCTCATCTTTTTGCATGCATCAGGAATTAGCCTCTCAATCTGCCTCATTATCCTA TAACTACGATTCCCGTCCACCCAATCTCTCACATCAGTCTCGCAATTCAAAAGGAATGGA TCAATAGGATACTTAGCATAACATAACAAACTCAAGGTCCTCTTCTGAATTTGATTACAT AAATCAACTGGGACACCATTAGCCACAGATTGATCAATTATGGTATCAATTGTTTCTGCC AGTTGGTGGGGTTCTTTGCACTTTATGTTATGTAAAGCCGCAGCAACAAATTTTGTTAGC AGGGGCACCTCGTCACCCCAAACATAGAATCTTGATTTGAACTCTGCAACAAACCTGCCA ATTGCACTCTTTGGACTCACAAATTTATTTAGCTGGTCACTCATGTAGTAATGGAATTCT AACAATGTTTTGAATTCTTCTGCATCTCTAGAGAGTAACTCTGTTAAGTTCTGATCAAAT AATGATATCTGATCGTCACTGGACGTGTAAGCATCGATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAAGTGTTATGCAGG ATTCCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGGACAGTGCCAATTTGAAAG TTGGAATTAAAAAAGTCTTCGGTCATTGATTGAGTTGTCTTCTTCTTCAATCCAAGTTGG GATTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCATGTTAATAATGTTGATAGGTAATCTTTACCTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAGATTAGGTTTTGAATTATTGTTAAAAACAAGAAAGGACACATCATA GGGCCCCACTTGCTATGATCCATACTATATGATACATGTGCTGATGAGACATTCAGCTTC ATTGACAGAATGGCATTATCAAACTCCTTCTCATTGTTTAGACAGCTACCTGCTAACTGT GATGTGAGTGCTTCAAAGTAATCCTCAATGAGCCTTGTGAACATCTTTGTCCTTAGATCT CCAATGTACAACTCTCTATTGCCTCCCACTTGTTCCTTGTAGGACAAAGAAAATTTTAGT CTACCAGTATCAGGGCCAGTTGAATTATAAGATTGAGGAGATTCTTGACTGTAAAAACAC AGATTCTTTAACATTGCTGTAGTGCAATTAGTCAGGGACAAGGCTTTGCTAAGTGCTTCA GAATTACTCTCACGTTCACTTATTCTGACATCATCAGCCAATCTTCCTGTATCAAATTTA AAGTTCAGGCACTTACTCTTATAATGAGAGTATCTTCCCATCAACTTATTCCCATTCATC ACTAGCAAAATTGACTTAAAGCACTGGAAATATTCTTGGTCTAAAAAAGTCCTAGTTACC ACTGCTTTTGTCAGCTCACTAATAGGACATGAATTCATTGGCCCCACATAAAAATATTTA CTCCTCAACGCAGCATCATTGTAGATATTCTCACAGATTTTGATGTATTGATCCTCAGGT AGGATTTCTCGATCAAAATCCTCTATCATATGGTTTGAAAGTTCACTTTTTATCAGCCTT ATTAAGAGTTTTTCTTCTACTACCTTGTCAAGATCAGATATTGAGGGTGTATTGCAGTCT GTCTGTTGCTGTCTTTCTGGTTGCTCCCTATACTGACTGATAATATTGTCAACAGTGCAC CTCAGTTGGTCGAAGTATTCTGATGCTCCTCCATCCAGTAGTATCTCATCTAGGTCAGCA TTGTTGGTGTCACCACTCCCTCCTTTGGACCCTAAAACAAGATTGCTCATTGCTTGCTGT ATTTTGTAATCATAATCCTGTTTGTTAAGCAAGAATTTACCTTTACGTGCAAACACTTCA GTTAACTGTGTGACAGCCAAAGCTGTGAGCTTGTTGAAGTCATAATCTAGAATGCGGGAC CCATCTGTATACTTATTTACAACAACACTTTTGTTACTGGCCAAGTCCAAAGCTGTTGCA CAGCCGCTTGTAATAAGAGGGTCTCGCAGTGTTTTCTTTACCTCCTTTTCTTTGAACAAT GAACCATTATTAAAACTAGACACAAGGAGTGAAATAAATTTCTTGGAAACACCAGGCTTT TTGTACCCAACTTTTTNNNNNNCTGCACAACATTCTTTGCTTAGAAACTTTCTTGCATTA TAAACCATTTCAGCAAGCTCTTCCTCCGATGCATCATCCTTCGGGTTCACACTAACATGT CCAAATTCCAATTTGGGTTCAAGGAATTTTTCAAAGCATTTGATTTGGTCAGTCAGTCTA TCAGGTGTTTCTTTTGTAATGAAATGACACATATAAGAGATATTTAAAATGAACTTGAAT CTATTGGTCATCATACTGACAACTTCTTCAGATAGGATTATCTTTAATAAGTGACGAATA AGTCTGTAGAGCAGATATTCGACTTCTGTGATCAAATCTTCCCTGATTTTCTCAATCAAA TCCTTGTGATAAAAATCAGACACAAAGGCCATCACAAAGTACCTGATGTTTTGCAAAAAC TTTTGACACCTTTTACTAGGATGTGTCAGTATCAAAACCAGGATCATTTTGGTTAACAAT TTAATAGTATTCACTTGTTCAGACAACTCTGTGCACTGTTCTATCCAGCTGACCATAACA TCGACTACTTTCTGCAACACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTGGGATCA GCATAAAAGGAACAAACCTCTCCAACCACATTATTGTTGATGGCATAACATTTTGAGCAT TCACCTGTTTTCTGATATAATAGTTTAAATCCCATCCTATTGATGAAGAACTCCTGGCAA TAGGCCTCTTTGCACCTCACAACTTGGTATCTAGAGGGTCCAAATTCATTTTGCCTTAGT TTCACTGTGGATGATGTTTTCATTGAGTTGATCAAAGCCAAACTCAATGATGATAGTCTT TCTAAGTCTGTTGTATCTAGAATGTCAACAGCGCCAAGAGTGTAAGGGAACATGTCTTCC TGAGTTTTCTGGTAACTTATAGTGGGTGTGATTCCGGAGATCTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGGATCTTGAAATCAATTCCATAAGAGTTGGTTTCTATGCCA ACCTCCCTCAAAGCATTAGTAGCTCGAGTTAAAACTCTGTTGATGATGGCAAGTAGCTCA CAATTTCGTTCTTCTTTAAGAGATAGGACACCTGCATTCCTGTCTCTGGTTTTCTTCCTG CTGTCTATCCACCGTTTTAGATCTCTTTTTGTTGATTCCAATGAGACTAATCTATCGTTT ACACTCACAAAACAGGAGCCCAACCAACCAGCAAGGAGCTTGTCACCATGCCTTATGCAG TCCAGCCGGCTAGCAAGAAGAATCAGAACGTCAAAAATGAGGAGAAGTTTCCTCCTGGTG TTGAGGATCCTCAGAGACTTTATCTTATTTAGAAAAGATCTCCAACACTGCATTTGTTCA CTCTGAGAGTCAGCAGCCCCTTCTTTACCAGAATCCAAATCTGCATACAAGAACTTAAGG ACTGGAGAGGCTCTTCGGAACTGGAACGTTAACTGTTCAATGTTGTCATCACAGGTGTCT ATTTTATCACAATATAGATTTTTGAAGTCTTCTAATAACTTCATTTTATCAACCTTAACA AATTGACTTTCTATGTTCCCTTGTCTTAGTTTGTTCCTGAAGATTTGATACTCCTCCTCA ATCAAACTCTTGACTTCATGAGAGGTGAGCTTGTTATTAATGCCCTGATGACAACTAAAG ATTATTTCCTCAAAGTGCTTTGCACGCTTGTCAGTTAGAACATTGATGCTTTCAATTCCT GAGAGCCTCCCAGACGTTAAAGCTAAAGATTCACAAAGTCTTGAATATTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAGTATTTCAACAAAGTGAATAAGGTGTCTCTGAGTTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTTGTTCTACCATCTATGAGAGGG ATGAGATTGATGCCAACAGATTCCAAATCATTCTTTAATTGTTCTAGTTTTTTGTGATCT TCTAAATACTTCTGCTCAAAATTGGCGGGAGATGATCTAACAAAACACTCAAGTAGGATT AGAACATTACCAGTGAGTTTGTAGCCGTCGGGTACCACAAAACATAAAGCTGGAGTAAGA ATCCCATGATCACTCAGAATAGATTCAACCGTTTTGTTTTCAGTGTTATGTTCACATCCA TTGGCCTTGCAAGAGTCAATCTCAATGCAAAGAGATAGTAACTTCAATCCCTCTATAAGC AACATTCTGGGTTCAGTTTGGACTAAAAAGGCTAACTTCTGTCTTGACAGCTTCTCATTA TCTGCAAGGTACTTTGAGATGAGATCTTTAGCATTAGCAATGTCTTCCTCCATCGCCAAT TGTGGCACCCCTGTAGGGCTT--------------------------------------- ---------------------------------------------- >LASV_NGA_2018_0611-1 ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ----------------------------------------------------------TG TCACCAATTTCCCTCACAAACACTTCCAAATCCTGGTCTTGAATGGATGGNNNAAATGTA GCAATCCTCCTGTCAGACTCCCATAGTGCTCCCCTGCACNNNACCAACGGCACAGGCTCA CTATCAGGCCCGACCTTTGAGAAGTCAAACTCAGTAAACTGTAGCTTGTCTGGATCAACA ACCAGCTTCAGGGGTGTGACATCTCCCAGTTGTTGTGTATCCCTTAAGAACTCATTTATT ACATCTGATTCAACANACCAGGCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNACTCAATAAGTCAAGAAAATCCTCAAGGGACTCAAGCTTC AGCTCCTCTGTCAAGCCTGAGGCGATGAGTTGATTCAAGTTCATCTTGGCCGGTTCAACG TCAAAATCTATCCATGCATAGCCCATCATNNNNNNNNNNNNNNNNNNNNNNNNTTCTATC CCNNNGTGAATGGCTTTCTCAACAAATGAGGAAAAGGGACCCAGTCGCTGCAAACCTTCG CCCTCTGGTATTGAAGTTTTATGAGGGAACCAAGTAAATGATCCCAAAGTCCTTGTTGTT GCCACAAACGATCGAACATATGATTCAAAGTAAACTTGTCTCATGAAGTTGTCTACTGCA TCAGCAGTACTAACCACTCTTTCCTCCACCATGGGTTCATGTGTGCGGGAGTGTGAATTT CTCAGCTCAGATGCCAACACAACATAATGTTCCTCTCTTTTCCACTTGACAATATGTGAA ACAAGTGAGAGTGCCTCACAGTTCACATCTAGAGCAACACAGAGGTCAAGAAACTTTATT CTAGGTGACCATTTCATTTTAGTAGAGGCCAAGTCACTCATGAATGGTAATATGTGTTTC TCAAATAGAGATGGATACAAGCGCCTCAAAGAGNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCTATA GCTGTAGACAGTGTTATGCACATATAATCCCATAGGAGGGGTCTCAGGTAAGTGACAGNN NNNNNNNNNNNNTCCTTGGCTTCTGGTGACACTCTCCATATCTGGATTCCATTATCCCCC ATCACTGCCTCAACACCTTGAGTTTCCAACAACTGAGACTGTATGGATCTAATGTAAAGA TTCTCCCTGTTAGGACCTCTAACACACTTGCTGCCTAGTGTCCTACACAACCCCACGAAT CCGGATGCTATAGAGCTTTGGAAGGCAGACTTATTTATTGCTTCAGACAATAATTTCTGA GCCCCTCTGGTGAACGTTGATGACAATCTGTTCTGCAGAGTCTTCACTATTGTAGGGACC CTGTCATCCTCCAAGTTCACAGCACCAGAATAAATTATCTTTTGTCGCAACACCATCCTA AGTGGATAATGGGTTGCCAGGTTCAGCCAATGAAACTCTAGATCAGAATTGGACAGGGGT TCAATGTTCAAAAGTTTAAAAAGATTCTGCAGCGATGTCATGTGTTCACCTGACAGATAA TTGGTGGTAAATTCCTCATGGAGCTCACCGGTTTTTAATTTATTAAACAATATCCGAAGC ATTGACCTCATTTTTTTACATGCATCAGGAACCAATCTCTCAATTTGCCTCATTATCCTG TAGCTACGATTCCCGTCCACCCAGTCTCTCACATCAGTCTCACAATTTAAGAGGAATGGG TCTATAGGGTACTTAGCATAACACAACAAGCTTAATGTTCTCTTTTGAATCTGATTGCAC AAATCAACTGGAACACCGTTTGCCACAGACTGATCAATTATTGTGTCAATTGTTTCTGCT AACTGATGGGGCTCCTTACACTTTATGTTGTGCAAAGCTGCAGCAACAAATTTTGTTAGT AAAGGCACCTCATCACCCCAGACATAAAATCGTGATTTAAACTCTGCAACAAACCTGCCA ATGGCACTCTTTGGACTTACAAATTTGTTTAGCTGGTCACTCATATAATAGTGAAACTCT AACAATGTTTTGAACTCCTCTTCATCTCTTGAGAGTAATTGTGTCAAGTTCTGATCAAAT AAAGATATTTGGTCATCACTAGATGTGTATGCATCAATCTGTCCACCAGACACACACTTT ATTGCAAAATTAATAAATCTTTCAGAGATCAATGCATAGAAATCTGAGGTATTGTGCAAT ATACCTTGGCCCATATCAAGAATTGAACTAATGTGGGAAGGGACTGTGCCAGCTTGAAAG TTGGAGTTGAAGAAGTCTTCAGTCACTGATTGAGTGGTCTTCTTCTTCAATCCAAGTTGA GATTTGATGTATGATTTCATCATTGCTGACACAACATTAAAAGGAATCTCCACCATCTTG TGCATATGCCATGTCAGTAATGTTGACAGGTAGTCTTTGCCTTTTAGATCAGCCTGCAGG TCATCAGAAAGTAAAATTAGATTCTGAATGATTGTTAGGAATAGAAAGGGACACATCATT GGACCCCACTTACTGTGATCCATGCTATATGAAACGTGTGCTGATGAGACATTTAACTTC ATTGATAAAATGGCATTATCGAATTCTTTCTCATTGTTTAGACAGCTGCCTGTCAACTGT GATGTAAGTGCCTCAAAGTAATCCTCGATGAGCCTTGTGAACATCTTTGTTCTGAGGTCT CCGATGTACAACTCTCGGTTGCCCCCCACCTGTTCCTTGTAGGATAAAGAGAATTTTAGC CTACCGGTGTCAGGACCAGTTGAATTGTAAGACTGAGGTGACTCTTGACTATAAAAACAT AGATTCTTTAACATTGCTGTGGTACAATTGGTCAGAGATAAAGCTTTGCTAAGTGCCTCA GAATTACTCTCCCGTTCACTTATTCTGACATCATCAGCCAACTTCCCTGTGTCAAACTTG AAATTTAGACATTTGCTTTTATAATGGGAATATTTCCCCATTAATCTGTTCCCATTCATC ACCAACAAGATTGATTTAAAACATTGGAAATATTCCTGGTCTAAGAAAGTCCTTGTTACC ACTGCCTTTGTCAACTCTCCTATAGGACAAGAATTCATTGGTCCTGTGTAAAAATATTTG TCTCTTAAAATCTCATCACTATATATGCTTTCACAGATTTTGACATATTGATCTTCAGGC AGGATTTCTCGATCAAAATCTTCTATCATGTGATTGGAGAGTTCACTCTTGATCAATCTT ATGAAGAGCTTTTCCTCCACCACCTTGTCAAGGTCAGATATTGAGGGTGAATTGCAATCT ACTTGCTGTTGTCTTCCTGGTGACTCCCTATATTGACTAATAATATTGTCAACAGTACAT TTTAGGTGATCAAAGTATTCTGATGCTCCTCCATCTAGTAGTATCTCATCAAGATCAGTG TTATCAACATCACCGCTTCCTTCTTTTGAACCTAAGACAAGATTACTCATTGCTTGTTGT ATCTTATAATCGTAGTCCTGTTTGTTTAGCAGATATTTGCCTTTACGTGCGAACACCTCT GTTAATTGTGTGACAGCTAATGCTGTCAACTTGTTGAAATCATAATCTAAGACACGAGAC CCATCTGTATACTTATTTACGACAACACTTTTATTGCTGGCCAGATCCAAAGCTGTAGCA CAACCACTTGTAATAAGGGGGTCTTGCAGTGCCTTTTTTACTTCCTTTCCCTTGAATAGA GAGCCATTGTTAAAACTAGACACGAGAAGTGAAATGAACTTCTTGGACACACCGGGCTTC TTATATCTTACCTTGTCTGCATCTGCACAAGACTCTTTACTCAGGAACTTTCTCGCATTG TAGATCATTTCATGAAGCTCTTCTTCTGACGCATCATCCTTTGGGTTCACACTGACATGC CCAAAATCCAATTTGGGTTCAAGGAATTTCTCGAAGCATTTAATTTGGTCAGTCAATCTG TCAGGTGTTTCTTTAGTGATGAAGTGACACATGTATGAGATGTTCAAGACAAACTTGAAC CTATTGGTCATCATGCTGACAACCTCCTCAGATAAAATTATTCCTAATAAATGACGGACA AGCTTATAGAGCAGGTATTCAACCTCTGTAATTAAATCTTCTCTAATTTTGTCAATTAGA TCCTTGTGGTGAAAATCAGACACAAATGCCATCACAAAATACCTAATGTTTTGTAAGAAC TTTTGACACCTTTTACTGGGGTGTGTTAATATTAGAACCAAGATCATTTTGGTCAACAGT TTGATAGTGATCAGCTGTTCAGATAATTCTGAGCACTCTTCTATCCAGCTGACCATAACA TTGACCACTTTCTGTAGGACATCACTAGAGAAAACTGCAGGAAAGAATCGTTTGGGGTCA GCATAAAATGAGCAGACCTCCCCAACTACATTGTTGTTGATAGCATAACACTTTGAACAT TCACCTGTCTTTTGATATAACAATTTAAATCCTATCTTGTTGACAAAGAACTCTTGACAA TAAGCTTCCTTGCATCTAACAACCTGATATCTAGAAGGCCCAAACTCATTTTGCCTCAGC TTCACGGTTGAAGATGTCTTCATTGAATTGATGAGAGCCAGGCTAAGTGTTGATAGCCTT TCCAAGTCTGTTGTGTTTAGGATATCAACAACACCAAGGGTATAGGGGAACATGTCTTCT TGAGACTTTTGATAGCTCATAGTAGGTGTGATCCCAGAAACCTCAATACTCATAATTGTG TCATAGACATCACAATCAAGAACTTTAAGATCAATTCCATATGAATCAACCTCAATGCCA ACCTCTTTCAGAGCATTAGTAGCTCGAGTTAAAACCTTGTTAATGATGGTTAAAAGCTCG TGGTTTCGTCCCTCTATGGATGATGGAAGATTTGCACTTTTATCCCTGGCTCTCCTTCTA CTATCTATCCACCGTTTTAGATCCCTTTTTGTTGATTCTAATGAAACTAGTCTGTCATTA ACACTAACAAAACAAGAGCCTAGCCAACCAACGAGATACTTGTTATTATGCCCTAAACAA TCCAACCGGCTTGCAAGGAGGATTAGAATGTCAAAAACAAGAAGAAGTTTTCTTCTAGTG TTGAGAATCCTTAGTGATTTCACCTTATTCAAGAAGGATCTCCAACATTGCATCTGTCCA TTCTGAGGGTCAGCAGACTTTTCCTCACTGGAATTTAGACCTGCATACAAGAACTTAAGG ACTGGAGAGGCTCTCTGAAACTGGAATGTCAATTGTTCAATACTTTCATCATTAGTGCTA ATCTTATCATTGTATAGATTCCTGAAATCCTCCAATAACTTTATCTTGTCAGTCTTTATA AATTGACTTTCTATGCCTCCCTGCCTCAACTTATTTCTGAAGATTTGGTATTCTTCCTCA ATTGAGCTTTTGACATCATGGGCAGAAAGCTTGTTGTTAATACCTTGATGGCAGCTAGAA ATTAATTCCTCAAAGTGCTTTGCACGATTATCAATTAAAGCATTGATGCTTTCTATTCCG GAGAGTCTACCAGAAGTTAAAGCTAATGACTCACAGAGTCTTGAATACTCAGACTCCTCG AATAATGCATTGCTTTCCTGTGAATATTTCAATAAGGCAAACAAAGTATCCCTAAGTTTA TCATTCACCCAGTCAGGTATCTGCTCGTTGTAAAAAGTTGTTCTACCGTCTATAAGAGGG ATGAGGTTGATGCCAACAGACTCTAGATCACCTTTCAGTTGTTCTAACTTCTTATAGTCC TCCAGATACTTTTGCTCAAAGTTGGCAGGAGATGATCTAACAAAACACTCAAGCAGAATC AAAACATTGCCAGTGAATTTATAGCCATCAGGAACCACGAAACATAGAGCAGGGGTGAGC ACCCCATAATCATTGAGGATGGATTCAACTGTTTTGTCCTCTGTATTGTGTTCGCAGCCA TTAGCCTTGCAAGAGTCAATCTCAATACAGAGAGATAACAATTTCAACCCCTCCATGAGC AGCATTCTAGGCTCAGTCTGAACCAGAAAAGCCAGTTTCTGTCTAGAAAGCTTTTCGTTG TCTACAAGGTATTTTGAGATGAGA------------------------------------ ------------------------------------------------------------ ---------------------------------------------- >LASV_NGA_2018_0664-1 ------------------------------------------------------------ ----GCCTAATC-AAAATGGGCAACAAACAGACCAAATCGACAAAAGTCGATGAACATCA AAGAGCTCATCTAGTGCCAGATGCTTCCCATTTAGGCCCTCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGCTTGGTGGAGTGCAACAACCACTACCTGTGTCTCAACTGCCTCAG TCTGCTCCTCAGCGTCAGTGGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAAGCT AAAGGCAGCAGCACAGCCGAGCGCACCCTCAACCGAGGCGACCCAAAACACAACACCTCC ACCGTACACCCCATGATCCCAGGATCAACACTCCCATCTCCATCACCCNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCTATTCAATG TCCTCAATGCACTTCTTCGGCCCAAACAACTCTGAACATGTCCTTCCCTTCAGTCTTAGG CTACCCCCACTTGACTGAATCATAACTCTTTGCTTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGGAGTTCACTCAGTATATCCACATAA TCCACAGGTCTCTGTCTTGTGAGGATTGAGACAATGTCCACACCCGTCCATTGAATTTTC TGTTTCAATCTATCAGACAGCATTGATTTCAATGCACCAACTAAAAGGTGCGGAGAACTA TCACCAATCTCCTTTACAAACATCTCCAAATCTTGATCTTGGATGGGTGGTGCAAACGTA GCCACCCTTTTATCAGATTCCCATAGTGCTCCCCTACACACAACCAATGGCACTGGTTCG TTGTCAGGTCCGACCTTGAAAAAGTCAAACTCACTGAACTGCAATTTATCTGGATTAATA ATCAGCTTCATAGGTATAACATCCCCCAACTGCTGTGTGTCCTTTAAGAATTCATTTATC ACATCTGATTCAACGAACCAAGCTGACCTACCTTTGAAAGTTGGACCCGACAAAGCAAGT CTCCAACAGTCAGACAGAACACATGGGCTCACAGACCCAGAATATAGTGCCTGTACATCA TTTACTACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGGATAGAAAAA GTCTCTTTAAAACTAGCATCCTGGCTTTTGATTTTATACCTAATTGTCTGATAAAACTGA ACAGAGCCCACTGGCATTGCGCCCAACAAATCAAAGAAATCTTCAAGGGAGTCCAACCTC AATTCCTCTGTCAGGCCTGAAGCAATAAGCTGGTTCAGATTTATCTGAGCTGGTTCTATA TCAAAATCTATCCATGCATAGCCCATCATTAGATCAAACTTAAACATAGGTCTCTCTATC CCTTTGTAAACAGCTTTCTCAATGAATGAGGAGAAGGGACCCAGTCGCTGCAGACCCTCA CCCTCTGGAATTGAGGTTTTATGAGGAAACCAAGTGAATGATCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTTTCTTCCATCATGGGCTCATGTGTGCGAGAGTGTGAATTT CTCAGTTCAGAAGCCAATACAACATAATGTTCCTCTCTTTTCCACTTAACAATGTGTGAG ACAAGTGAAAGTGCCTCACAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTGGAAGCTAAATCACTCATAAATGGCAATATGTGCTTC TCAAATAGAGACGGATATAAACGTCTCAAGGAATGAATGATGTGGCTCATGCCAACCCTG TCCTCTAGCAGTTTCGAAACAGTGGGTCTCAAGGGGAAGTAATCACAAGGATTATGTTTA AAAAAGTCCAAGGTTTGAGCTTGTTTTGGTTCCCCTAGCACCCATGCTCCAAGTTCTATA GCTGTAGATAGTGTTATGCACATATAATCCCACAGAAGAGGTCTCAAATAAGTGATGATA GTGTCACCTCCATTTCTGACTTCTGGTGAAACTTTCCATATCTGGATTCCATTGTCCCCC ATCACTGCCTCAACACCTTGAGTCCCTAGTAGCTGAGTCTGTATGGATCTAATGTAAAGA TTCTCCTTGTTGGGGCCCCTGACACACTTGCTACCTAGTGTTCTGCACAACCCTACAAAC CCAGAAGCTATAGAACTTTGGAAAGCTGATTTATTTATTGCTTCAGACAACAGCTTCTGA GCTCCTCTAGTGAATGTCGATGACAACTTATTTTGCAAGGTTTTCACTATTGTAGGGACC TTTTCATCTTCCAGATTCACAGCACCAGAATAGATTATCTTTTGCCGCAACACCATTCTA AGCGGATGATGGGTGGCCAAGTTCAACCAATGATACCCCAAATCAGAATCAGACAAAGGT TCAATGTCTAGAAGCTTAAACAAGTTCTGTAATGATGCTGTGTGTTCGCCTGATAAGTAG TTGGTAGTGAATTCCTCATGAAGCTCACCAGTTTTCAATTTATTGAACAGTATCCTAAGC ATTGACCTCATCCTTTTGCATGCATCAGGAATTAGCCTCTCAATTTGCCTCATTATCCTA TAACTACGATTCCCGTCCACCCAATCTCTTACATCAGTCTCACAATTCAAAAGGAATGGA TCAATAGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTCTGAATCTGATTACAC AGGTCAACTGGGACACCATTAGCCACAGACTGATCAATTATGGTGTCAATTGTTTCTGCC AATTGATGGGGTTCTTTGCACTTTATGTTATGTAAAGCTGCAGCAACAAATTTGGTTAGC AAGGGCACCTCGTCACCCCAAACATAGAATCTTGATTTGAACTCTGCAACAAACCTGCCA ATTGCACTCTTTGGACTCACAAATTTATTTAGCTGATCACTCATGTAGTAATGGAATTCC AACAATGTTCTGAATTCCTCTGCATCTCTTGAGAGTAACTCTGTTAAGTTCTGATCAAAT AATGAAATCTGATCGTCACTGGACGTGTAAGCATCAATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGCAGG ATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGCACCGTGCCAATTTGAAAA TTGGAATTAAAAAAGTCTTCAGTCATTGATTGAGTTGTCTTCTTCTTCAGTCCAAGTTGG GATTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCATGTTAATAGTGTTGATAGGTAATCTTTACCTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAAATTAGGTTCTGAATTATTGTTAGAAACAAGAAGGGACACATCATG GGGCCCCACTTACTGTGATCCATACTATATGATACATGTGCCGATGAGACATTCAGCTTC ATTGATAAAATGGCATTGTCAAACTCCTTCTCATTGTTTAAACAGCTGCCCGCTAATTGT GATGTGAGTGCCTCAAAGTAATCTTCAATGAGCCTTGTGAACATCTTTGTCCTTAAATCT CCGATGTACAACTCTCTATTGCCTCCCACTTGTTCCTTATAAGACAAAGAAAATTTTAGT CTACCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCCTGACTGTAAAAACAC AGGTTTTTTAACATCGCTGTAGTACAGTTAGTTAGGGACAAGGCCTTGCTAAGTGCTTCA GAATTGCTCTCACGCTCACTTATCCTGACATCATCAGCCAATCTTCCTGTGTCAAATTTG AAATTCAGACACCTACTCTTATAATGAGAGTATCTCCCCATCAACTTATTCCCATTCATT ACTAATAAAATTGACTTAAAGCACTGGAAATATTCTTGGTCCAGGAAAGTCCTAGTCACC ACTGCTTTTGTCAGCTCGCCAATANNNNNNNNGNNNNNNNGTCCTACATAAAAATATTTA CTTCTCAAAGCAGCATCATTGTAGATATTCTCACAAATTTTGATGTATTGATCCTCAGAC AGGATTTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATTAACCTT ATTAAGAGTTTTTCTTCCACTACCTTGTCAAGATCAGATATCGAGGGTGCATTGCAGTCT GCCTGCTGCTGTCTTTCCGGTTGCTCCTTATACTGACTGACAATATTGTCAACAGTGTGC CTCAATTGGTCGAAGTATTCTGATGCTCCCCCATCCAATAGTATCTCATCTAGATCAGCA TTGTTGGTGTCATCACTCCCTCCTTTGGACCCCAGAACAAGATTACTCATTGCTTGCTGT ATTTTATAATCATAATCCTGTTTATTTAGCAAGAATTTGCCTTTACGTGCAAATACTTCA GTTAATTGTGTGACAGCCAAAGCTGTAAGCTTGTTGAAATCATAATCCAGAACACGAGAC CCATCTGTATACTTATTCACAACAACACTCTTATTACTGGCCAAGTCCAAAGCTGTTGCA CAGCCGCTTGTGATAAGAGGGTCTCGTAGTGTCTTCTTTACTTCTTTTTCTTTAAATAAT GAACCATTNNNNNNNNNNNNNNNNNNGAGTGAAATGAATTTTTTGGAGACACCAGGTTTT TTATACCTAACTTTATCCGCATCTGCACAACACTCTTTGCTTAGAAACTTTCTTGCATTG TAAACCATTTCAGCAAGCTCTTCTTCCGATGCATCATCCTTTGGGTTCACACTCACATGT CCAAATTCCAGTTTGGGCTCAAGGAATTTTTCAAAGCATTTGATCTGGTCAGTCAGTCTG TCAGGTGTTTCTTTTGTAATGAAGTGACACATATAAGAGATATTTAAAACAAACTTGAAT CTATTGGTCATCATACTGACAACTTCTTCAGACAGAATTATCTTTAATAAGTGGCGAACA AGTCTGTAGAGCAGATATTCAACTTCTGTGATCAGATCTTCCCTGATTTTCTCAATTAAA TCCTTGTGATAAAAATCAGACACAAAGGCCATCACAAAATACCTAATGTTTTGTAAAAAT TTTTGACACCTCTTACTAGGATGTGTCAGTATCAAAACTAAAATCATCTTGGTTAACAAT TTAATAGTGATCAATTGTTCAGACAACTCTGTGCACTCTTCTATCCAGCTGACCATAACA TTAACTACTTTCTGCAACACATCACTGGAGAAAACTGAAGGAAAAAACCGCTTAGGATCA GCATAAAAAGAACAAACCTCTCCAACTACATTGTTATTAATAGCATAACACTTTGAGCAC TCACCTGTCTTTTGATACAATAGTTTGAATCCCATTCCATTGATGAAGAACTCTTGGCAA TAGGCCTCTTTGCACCTCACAACCTGGTATCTAGAGGGCCCAAATTCATTTTGCCTTAGT TTCACTGTGGAAGACGTCTTCATTGAGTTTATCAGAGCTAAACTCAATGATGATAGTCTT TCTAAGTCTGTTGCATCTAGAATGTCAATGACGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGATAAGTTATTGTGGGTGTGATACCGGAGATTTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGGATCTTGAGATCAATTCCATAAGAGTTGATTTCTATGCCA ACCTCCCTCAAAGCATTAGTGGCTCGAGTCAAAACTCTATTGATGATGACAAGGAGCTCA CAATTCCGTTCTTCTTTAAGTGATGGGACACCTGCATTTCTGTCTCTAGTTCTTTTCCTG CTGTCCATCCACCGTTTTAAATCTCTTTTTGTTGATTCTAATGAGACCAATCTATCGTTA ACACTCATAAAACAGGAGCCTAGCCAGCCAGCAAGGAGCCTGTCACCATGCCTTATGTGG TCCAGCCGGCTAGCAAGGAGAATCAGAACGTCAAAAATAAGGAGAAGTTTCCTCCTGGTG TTGAGGATCCTCATAGACTTTATCTTATTTAGAAAAGATCTCCAACATTGCATCTGTTCA CTTTGAGATTCAGCAGTCCTTTCCTCACCAAAATTCAAATCTGCATACAAGAACTTAAGG ACTGGAGAGGCTCTTCGGAACTGGAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCT ATCTTATCATTATATAGCTTTCTGAAATCCTCTAACAACTTCACCTTATCAGTCTTAACA AATTGACTTTCTATGTCCCCTTGCCTTAGTTTGTTCCTGAAGATTTGATACTCCTCCTCA ATTAAACCCTTGACTTCATGAGAGGTGAGCTTGTTATTAATGCCCTGATGACAACTAGAA ATTATTTCCTCAAAGTGTTTCGCACGCTTGTCAGTTAAAACATTGATGCTTTCAATTCCT GAGAGCCTCCCAGACGTTAAGGCTAAAGACTCACAAAGTCTTGAATACTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAATATTTTAACAGGGTGAATAAGGTGTCCCTGAGCTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTGGTCCTGCCGTCTATGAGAGGG ATGAGGTTGATGCCAACAGACTCCAAATCATTCTTTAATTGTTCTAGTTTTTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCGGGGGATGACCTAACAAAGCACTCAAGTAAGATT AGAACATTACCAGTGAGTTTGTAACCGTCAGGCACCACAAAACACAAAGCTGGGGTAAGA ATCCCATGATCACTCAGAATAGATTCAACTGTTTTGTCTTCAGTGTTATGTTCACATCCA TTGGCCTTGCAAGAATCAATCTCAATGCAAAGAGATAATAGCTTCAATCCCTCCATAAGC AACATCCTGGGTTCCGTTTGGACCAGAAAAGCTAACTTCTGTCTTGATAGCTTTTCATTG TCCGCAAGGTACTTTGAGATAAGATCTTTAGCATTGGCAATGTCTTCCTCCATCGCCAGT TGTGGCGCCTGTGTTGGGTTTGGGTTTGTGCCGGTGTGGCTTGTGGGTCGGCTGGTGG-- ---------------------------------------------- >LASV_NGA_2018_0959-1 ---------------------------------GGCTCATTTTAGTGAATCCCTGAATCA AAGTGTCCAGTT-AAAATGGGCAACAAACAGGCCAAATCGACAAAAGTCGACGAACATCA AAGGGCTCATCTAGTACCGGATGCATCCCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGGTTGGTAGAGTGCAACAATCACTACCTGTGTCTCAACTGTCTCAG CCTGCTTCTCAGTGTCAGCAGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAAGCT AAAGGCAGCAGCACAGCCGAGCGCACCATCAACAGAGGCGATCCAGAGCACAACACCTCC ACCGTACACTCCATAATCCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGCCCAGCTCTACTCAATG TCCTCAACACACTTCTCCGACCCAAACAACTCTGAACATGTCCTTCCCTTCAGTCTTAGG CTGCCCCCACTTGACTGAATCATTACTCTTTGCTTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAATATATCAACATAA TCCACAGGTCTCTGTTTTGTGAGGATTGAGACAATATCCACACCTGTCCATTGAACTCTT TGTTTTAATCTATCAGACATCATTGATTTCAATGCACCAACTAAAAGGTGCGGGGAACTA TCACCAATCTCCCTTACAAACATTTCCAAATCTTGATCTTGGATAGATGGTGTAAATGTA GCTACTCTTCTATCAGATTCCCACAGTGCTCCCCTACACACGACCAATGGCACTGGTTCG TTGTCAGGTCCGACCTTGGAAAAGTCAAACTCACTGAACTGCAGTTTATCTGGACTAATA ATCAGCTTCATGGGTATAACATCCCCTAACTGCTGTGTGTCCTTTAAGAACTCATTTATT ACATCTGATTCAACAAACCAGGCTGATCTACCTTTGAAAGTTGGACCCGACAAAGCAAGT CTCCAACAGTCAGACAGAACACATGGGCTCACAGACCCAGAATATAGTGCCTGTACACCA TTCACTATAAACTCACCATATTGATTAACAAGTCCTATCATGTTGAGATGGATGGAAAAG GTCTCTTTAAAACTAGCATCCTGACTCTTGATTTTATATCTTATTGTCTGGTGAAACTGA ACGGAGTCCACTGGCATTGTACTTAACAAATCAAAGAAATCTTCAAGGGAGTCCAACCTT AATTCTTCTGTCAGGCCTGAAGCTATAAGCTGGTTCAAGTTTATCTGAGCTGGTTCTATG TCAAAGTCTATCCATGCATAGCCCATCATTAGATCAAACTTAAACATAGGTCTCTCTATC CCTTTGTAAATAGCTTTCTCAATAAATGAAGAGAAGGGACCCAGTCGCTGCAGACCTTCA CCCTCTGGTATTGAGGTTTTGTGAGGAAACCAGGTGAATGACCCGAGTGTCCTTGTTGTT GCCACAAAAGAGCGAACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTTTCTTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTT CTCAGTTCAGAAGCTAACACAACATAATGTTCCTCCCTCTTCCACTTAACAATGTGTGAA ACAAGTGAGAGTGCCTCGCAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCACTTCATCTTTGTGGAAGCTAAGTCACTCATAAATGGCAATATGTGCTTC TCAAATAGAGACGGATATAACCGTCTCAAAGAATGAATGATGTGGCTCATACCAACCCTG TCCTCTAGCAATTTCGAAACAGTGGGTCTCAAGGGGAAGTAATCACAAGGATTATGTTTA AAAAAGTCCAGGATCTGAGCTTGTTTTGGTTCCCCGAGCACCCATGCTCCAAGTTCTATG GCTGTGGATAGCGTTATGCACATATAATCCCATAGAAGGGGTCTTAAATAAGTGACAACA GTATCACCTCCATCCTTGACTTCTGGTGAGACTTTCCATATTTGGATTCCATTGTCCCCC ACCACTGCCTCAACACCTTGAATCCCTAATAGCTGAGTCTGTATAGATCTAATGTAAAGA TTCTCCTTATTGGGGCCTCTGACACACTTGCTTCCTAGTGTTCTGCACAACCCCACAAAC CCAGATGCTATGGAACTTTGAAAAGCTGATTTATTTATTGCTTCAGACAGTAGCTTCTGA GCTCCTCTAGTGAATGTCGATGACAACCTATTTTGCAAGGTTTTCACTATTGTAGGGACC TTTTCATCTTCTAGATTCACAGCACCAGAATAGATTATCTTTTGCCGCAACACCATTCTA AGCGGGTGATGGGTAGCTAAGTTCAACCAATGAAATCCCAAGTCAGAATCAGACAAAGGT TCAATGCCTAGAAGTTTGAATAAATTCTGTAATGATGTTGTATGATCACCTGATAGGTAG TTGGTAGTGAATTCTTCATGGAGCTCACCAGTTTTTAGTTTATTGAACAACACCCTAAGC ATTGACCTCATCTTTTTGCATGCATCAGGGATCAGCCTCTCAATTTGCCTCATTATCCTA TAACTACGATTCCCATCCACCCAATCTCTTACATCAGTCTCGCAATTCAAGAGGAATGGA TCAATAGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTTTGAATCTGATTACAC AGATCAACTGGGACACCATTAGCCACAGATTGATCAATTATGGTATCAATTGTTTCTGCC AATTGATGGGGTTCTTTGCACTTTATGTTGTGTAAAGCCGCAGCAACAAATTTTGTTAAC AAAGGTACCTCATCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCA ATCGCACTCTTTGGACTCACAAATTTATTTAGCTGATCACTCATGTAGTAGTGGAATTCT AACAGTGTTTTGAATTCCTCTGTATCTCTTGAGAGCAACTCTGTTAAGCTCTGATCAAAT AAAGATATCTGATCGTCACTGGACGTGTAAGCATCGATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATGAATCTTTCAGAAATCAATGCATAAAAGTCTGAGGTATTGTGCAAG ATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAAGGGACTGTGCCAATTTGAAAG TTGGAGTTAAAAAAGTCTTCTGTCATTGATTGAGTTGTCTTCTTCTTCAATCCAAGTTGG GATTTAATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCATGTTAATAATGTTGATAGGTAATCTTTACCTTTCAAATCAGCTTGCAAA TCGTCAGAGAGTAAAATTAGGTTTTGAATTATTGTTAGAAACAAGAAAGGACACATCATA GGGCCCCACTTACTGTGATCCATACTATATGACACATGTGCCGATGAGACATTCAGCTTC ATTGACAAAATGGCATTGTCAAACTCCTTCTCATTGTTTAGACAGCTGCCTGCTAACTGT GATGTGAGCGCTTCAAAGTAATCCTCAATGAGCCTTGTGAACATCTTTGTTCTTAAATCT CCGATGTACAACTCTCTATTGCCTCCCACTTGTTCTTTGTAAGACAAAGAGAATTTTAGT CTACCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCTTGGCTGTAAAAACAC AAATTTTTTAACATTGCTGTAGTGCAGTTAGTTAAGGACAAGGCTTTGCTAAGTGCTTCA GAATTACTCTCACGTTCACTTATCCTGACATCATCAGCCAGTTTCCCTGTATCAAATTTA AAGTTCAGACACTTACTCTTATAATGGGAATATCTTCCCATCAGCTTATTCCCATTCATC ACTAATAAAATTGACTTAAAGCACTGGAAATACTCTTGGTCCAAAAAGGTCCTAGTCACC ACTGCTTTTGTCAGCTCACCAATGGGGCATGAATTCATTGGCCCTACATAAAAATACTTA CTTCTCAAAGTAGCATCATTGTAGACATTCTCGCAAATTTTGATGTATTGATCCTCAGAC AGGATTTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATCAACCTT ATTAAGAGTTTTTCTTCCACCACCTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCT GCCTGCTGCTGTCTCTCTGGTTGCTCCCTATACTGACTGACAATATTGTCAACAGTACAC CTCAGTTGGTCGAAGTATTCTGATGCTCCTCCATCCAATAGTATCTCATCTAGATCAGCA TTGTTGGTGTCACCACTCCCTCCTTTGGACCCTAGAACAAGATTACTCATTGCTTGCTGT ATCTTGTAATCATAATCCTGCTTATTGAGCAAGAATTTGCCTTTACGTGCAAACACTTCA GTTAATTGTGTGACAGCCAGAGCTGTAAGCTTGTTGAAGTCATAATCCAAAATACGGGAC CCATCTGTATACTTGTTCACAACAACACTCTTATTGCTAGCCAAGTCTAAAGCTGTTGCA CAGCCGCTTGTAATAAGGGGGTCTCGCAGTGTCTTCTTTACTTCCTTTTCTTTAAACAAT GAACCATTGTTAAAACTAGACACAAGGAGTGAAATAAACTTCTTGGAAACACCAGGCTTT TTATACCTAACTTTTTCCGCATCTGCACAACATTCTTTACCTAGAAACTTTCTTGCATTA TAAACCATTTCAGCAAGCTCTTCCTCCAATGCATCGTCCTTCGGGTTCACACTTACATGC CCAAATTCTAATTTAGGCTCAAGAAACTTTTCAAAGCATTTGATCTGGTCAGTCAGTCTG TCAGGTGTTTCTTTTGTAATGAAATGACACATATAGGAGATATTTAAAACAAACTTGAAT CTGTTGGTCATCATGCTGACAACTTCTTCAGACAGAATTATCTTTATTAAGTGACGAACA AGTCTGTAGAGCAGATATTCAACTTCTGTGATCAAATCTTCCCTGATTTTCTCAATCAAA TCTTTGTGATAGAAATCGGACACAAAGGCCATCACAAAATACCTAATGTTTTGCAAAAAT TTTTGACATCTTTTACTAGGATGTGTCAGTATCAAAACTAAAATCATTTTGGTTAACAAT TTTATAGTGATCAATTGTTCAGATAACTCTGTGCACTCTTCTATCCAGCTAACCATAACA TCGACTACTTTCTGCAACACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTAGGATCA GCATAAAAGGAACAAACCTCTCCAACTACATTGTTGTTAATAGCATAACACTTTGAGCAT TCACCTGTCTTTTGATACAATAGTTTGAATCCCATCCTATTGATGAAGAACTCTTGGCAG TAGGCCTCTTTGCACCTCACAACTTGGTATCTAGAGGGTCCAAATTCATTCTGTCTCAAT TTCACTGTGGAAGATGTTTTCATTGAGTTGATCAAAGCCAGGCTCAATGATGATAGTCTT TCTAGGTCTGTCGCATCTAGAATGTCAACAACGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGGTAACTTATAGTGGGTGTGATACCGGAGATCTCAATGTCCATGATGGCA TCATAAACGTCACAATCAAGGATCTTGAGATCAATTCCATAAGAGTTGGTTTCTATGCCA ACCTCCCTCAAAGCATTAGTAGCTCGAGTTAAAACTCTGTTGATGATGGCAAGGAGCTCA CAATTTCGTTCCTCCCTAAGTGATAGAACACCTGCATTCCTGTCTTTAGTTCTCTTCCTG CTGTCAATCCATCGTTTCAGATCTCTTTTTGTTGATTCCAATGAAACTAATCTATCGTTA ACACTCACAAAACAGGAGCCCAGCCAACCAGCAAGGAGCTTGTCACCATGCCTTATGCAA TCCAGCCGGCTAGCAAGAAGAATCAAGACGTCAAAAATAAGGAGAAGTTTCCTCCTGGTA TTGAGGATCCTCAGGGACTTTATCTTATTTAGAAAAGATCTCCAACATTGCATCTGCTCA CTTTGAGAGTCAGCAGCCCTTTCCTTATTGGAATCTAAATCTGCATACAAGAACTTAAGG ACTGGAGAGGCTCTTCGGAACTGGAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCT ATTTTATCACTATATAGCTTTCTGAAATCCTCTAATAATTTCATCTTATCAGTCTTAATA AATTGACTTTCTATATCCCCTTGCCTTAGTTTGTTCCTAAAGATTTGATACTCCTCTTCA ATTAGACTCTTGACTTCATGAGAAGTGAGCTTGTTATTAATGCCCTGATGACACGTAGAA ATTATTTCCTCAAAGTGTTTTGCACGCTTGTCAGTAAGAACATTGATGCTTTCAATTCCT GAGAGCCTCCCAGATGTTAAGGCTAAAGATTCACAAAGTCTTGAATACTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAGTATTTTAACAAGGTGAATAGGGTGTCCCTGAGTTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTTGTCCTACCGTCTATGAGAGGG ATAAGATTGATGCCAACAGATTCCAAATCATTCTTCAATTGTTCTAGTTTCTTGTGATCT TCTAAATACTTCTGTTCAAAATTAGCAGGGGATGATCTAACAAAGCACTCAAGTAAGATA AGTACATTACCAGTAAGTTTGTAGCCGTCAGGCACCACAAAGCATAAAGCTGGTGTGAGA ATGCCATGATCACTCAGAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACACCCA TTGGCCTTGCAAGAGTCAATCTCAATGCAAAGAGATAGAAGTTTCAATCCCTCCATGAGC AACATTCTGGGTTCGGTTTGGACCAAGAAGGCTAACTTCTGTCTTGACAGCTTCTCATTA TCTGCAAGGTACTTTGAGATAAGATCTTTAGCATTAGCAATGTCTTCCTCCATCGCCAAT TGTGGCACCTATGCTGGGTTTGGGTTAGTGCCGGAATGGCTTGTGGG------------- ---------------------------------------------- >LASV_NGA_2018_0998-1 ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ -TTTGAGAACAGAGGGCTGGTGGAGTGCAACAACCACTACCTGTGTCTCAACTGTCTCAG CCTGCTTCTCAGCGTCAGCAACAGGTGTCCGATCTGCAAAATNNNTCTTCCCACTAGGCT AAAGGCAGCAACACAGCCGAGCGCACCCTCAACCGAGGCAACCCNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNC AATTCCTCTGTCAGGCCTGAGGCAATGAGCTGGTTCAAATTTATCTGGGCTGGTTCTATG TCAAAGTCTATCCATGCATAGCCCATCATCAAATCAAACTTAAACATAGGTCTCTCTATC CCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNATGTGNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNGCTTCTGGTGAGACTTTCCATATCTGGATTCCATTGTCCCCC ATCACTACTTCAACACCTTGAGTTCCCAGCAGCTGAGTTTGTATGGATCTAATGTAAAGA TTCTCCTTGTTGGGCCCTCTGACGCACTTGCTACCTAGTGTTCTGCACAACCCTACAAAC CCAGATGCTATAGAACTTTGGAAAGCCGATTTGTTTATTGCTTCAGACAGCAGCTTCTGA GCTCCTCTAGTGAATGTCGATGACAACCTATTTTGCAAGGTCTTCACTATTGTAGGGACC TTTTCATCTTCCAGATTCACAGCACCAGAATAAATTATCTTCTGCCGCAACACCATTCTA AGCGGGTGATGGGTGGCTAAGTTCAACCAATGATACCCCAAATCAGAATCAGACAAAGGT TCTATGCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTGATAGGTAG TTGGTGGTGAATTCCTCATGAAGCTCACCAGTTTTTAATTTATTAAACAATATCCTAAGC ATTGACCTCATCCTTTTGCATGCATCAGGGATTAGCCTCTCAATTTGCCNNNNNNNNNNN NNNNTACGATTCCCGTCCACCCAATCTCTTACATNNNNNNNNNNNTTCAAAAGGAATGGA TCAATAGGATACTTGGCATAACATAACAAATTTAAAGTCCTCTTCNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN 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GAATTACTCTCACGTTCACTTATTCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NCTAATAAGATTGATTTAAAGCACTGGAAATATTCCTGGTCCAAAAAAGTTCTAGTCACT ACTGCCTTTGTCAACTCACTAATAGGACATGAGTCCATTGGCCCTACATAAAAATATTTA CTTCTCAAAGCAGTATCATTGTAGATGTTCTCACAAATTTTGATGTATTGATCTTCAGAC AGGATCTCTCGATCAAAGTCTTCTATCATATGGTTTGAAAGCTCACTTTTTATCAACCTT ATTAAAAGTTTTTCTTCCACCACCTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCT GCCTGCTGCTGTCTTTCTGGTTGCTCCCTANNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN 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ACCTCCCTCAAAGCACTAGTGGCTCGAGTTAATACTCTGTTGATGATTGCAAGGAGCTCA CAATTCCGTTCTTCTTTGGGTGACAGGACACTTGCATTTNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAGAGGG ATGAGATTGATGCCAACAGACTCCAAATCATTCTTTAACTGCTCTAGTTTCTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCGGGGGATGANNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGGCACCACAAANNNNNNNNNNNNNNNNNNN ATCCCATGATCACTCAGAATGGATTCAACCGTTTTGTCTTCAGTATTATGTTCACACCCA TTGGCTTTACAAGAGTCAATCTCAATACAGAGAGACAATAGCTTCAATCCCTCCATGAGT AACATTCTAGGTTCAGTTTGGACCAGAAAAGCTAACTTCTGTCGTGATAGCTTCTCATTA TCTGCAAGGTATTTTG-------------------------------------------- ------------------------------------------------------------ ---------------------------------------------- >LASV_NGA_2018_1024-1 ------------------------------------------------------------ ------------------------------------------AAGAGTCGATGAACAACA AAGAGCCCATCTAGTGCCAGATGCATCCCATCTAGGCCCTCAGTTCTGTAAGAGTTGCTG GTTTGAGAACAGAGGGTTGGTAGAGTGCAACAACCACTACCTGTGCCTCAACTGTCTCAG CCTGCTCCTCAGCGTAAGCAGCAGATGCCCGATCTGCAAGATGCCCCTTCCAACCAAGCT GAAGGCAGCAGCACAGCCGAGCGCACCCTCAACCGAGGCGACTCAGGACACAAAACCTCC ACCATACGCCCCATGATCCCAAGACCAACACCTCCATCTCCATCACCC-ACNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCAACTCAACTCTACTCGATG TCCTCAATACACTTTTCTGGCCCAAACAACTCTGAACATGTCCTTCCCTTCAGTCTCAGG CTGCCCCCACTTGACTGAATCATGACTCTTTTCTTTGACCTACTATAGCAAAGTGCATAG CCTTTGAAGTCAATCCATTCTCCAAGAGATTCAAGAAGTTCACCCAGTATATCAGCATAG TCCATAGGTCTCTGTTTTGTGAGGATTGAGACAATGTCCACACCTGTCCATTGAATTCTT TGTTTCAATCTATCAGACATCATTGATTTCAATGCACCAACTAAAAGATGCGGGGAACTG TCACCAATCTCTCTTACAAACATTTCCAAATCTTGATCTTGGATAGATGGTGTGAATGTA GCTACCCTTCTATCAGACTCCCACAGTGCCCCCCTACATACAACCAATGGCACTGGTTCG TTGTCAGGTCCGACCTTGGAGAAGTCAAACTCACTGAACTGCAGCTTGTCTGGATCAACA ATCAGCTTCATGGGTATGACATCCCCTAACTGCTGTGTATCTTTTAAGAATTCATTTACC ACATCTGATTCAACAAACCAGGCTGACCTACCTTTGAAAGTTGGACCCGACAAAGCAAGT CTCCAACAGTCAGACAGAACACATGAGCTCACAGACCCAGAATATAATGCCTGCACATCA TCCACTACAAACTCACCGCGTTGGTTAACAAGACCTGTCATGTTGAGATGGATAGAAAAA GTCTCTTTAAAACTAGCATCTTGACTCTTAATTTTATACCTAATTGTCTGATAAAACTGA ACAGAGCCCACTGGCATTGTACTTAACAAATCAAAGAAATCTTCAAGGGAGTCTAACCTC AATTCCTCTGTCAGGCCTGAAGCAATTAGCTGGTTCAAGTTTATCTGAGCTGGTTCTATG TCAAAGTCTATCCATGCATAGCCCATCATTAGGTCAAATTTAAACATAGGTCTCTCTATC CCTTTGTAAATGGCTTTCTCAATGAATGAAGAGAAGGGACCCAGTCGCTGCAGACCTTCA CCCTCTGGTATTGAGGTTTTGTGAGGGAACCAAGTGAATGACCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTCTCCTCCATCATAGGCTCATGTGTGCGAGAGTGTGAGTTC CTCAGTTCAGAAGCCAATACAACATAATGTTCCTCTCTCTTCCACTTGACAATATGTGAA ACAAGTGAAAGTGCTTCGCAATTTACATCTAATGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTGGAAGCTAAATCACTCATAAATGGCAATATGTGCTTC TCAAATAGAGACGGATATAAACGTCTCAGAGAATGGATGATGTGGCTCATGCCAACCCTG TCCTCTAGCAATTTCGAAACAGTGGGTCTCAAGGGGAAATAATCACAAGGATTATGTTTA AAAAAGTCCAGGATCTGGGCTTGTTTTGGTTCCCCGAGCACCCATGCTCCAAGTTCTATA GCTGTAGATAGTGTTATGCACATATAATCCCATAAAAGAGGTCTTAAATAAGTGACAACA GTGTCACCTCTATCTTTGACTTCTGGTGAAACTTTCCATATCTGAATTCCATTATCCCCC ATCACTGCTTCAATACCTTGAGTCCCCAGTAATTGAGTCTGTATGGATCTGATGTAAAGA TTCTCCTTGTTGGGGCCTCTGACACACTTGCTACCTAGTGTTCTACACAACCCTACAAAC CCAGATGCTATAGAACTCTGAAAAGCTGATTTATTTATTGCTTCAGACAGTAGCTTCTGA GCTCCCCTAGTAAATGTCGATGACAACCTATTTTGCAAGGTTTTTACTATTGTAGGGATC TTTTCATCTTCCAGATTTACAGCACCAGAGTAGATTATCTTCTGCCGCAATACCATTCTA AGCGGGTGATGGGTGGCTAAGTTCAACCAATGAAACCCCAAGTCAGAATCAGATAAAGGT TCAATGCCTAGAAGTTTAAACAAGTTTTGTAATGATGTTGTGTGCTCACCTGATAGGTAG TTTGTAGTGAATTCCTCATGGAGCTCACCAGTTTTTAATTTATTGAACAATATCCTAAGC ATTGACCTCATTTTTTTGCACGCATCAGGAATTAGCCTCTCAATTTGTCTCATTATCCTA TAACTACGATTCCCGTCTACCCAGTCTCTCACATCAGTCTCGCAATTCAAAAGGAATGGG TCAATAGGATACTTGGCATAACACAACAAACTCAAAGTTCTCTTCTGAATTTGATTACAC AAATCAACTGGGACGCCATTGGCCACAGACTGATCAATTATGGTATCAATTGTTTCTGCC AATTGATGGGGTTCTTTGCATTTTATGTTATGCAAAGCCGCAGCAACAAATTTTGTTAGC AGGGGTACCTCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCA ACTGCACTCTTTGGGCTCACAAATTTATTTAGCTGATCACTCATGTAATAATGGAATTCC AACAATGTTCTGAATTCCTCTGTATCTCTTGAGAGTAACTCTGTCAAGTTCTGATCAAAT AATGATATCTGATCATCACTGGACGTATAAGCGTCGATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGCAAA ATGCCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGGACTGTGCCAATTTGAAAG TTGGAATTGAAAAAGTCTTCAGTCATTGATAGAGTTGTCTTCTTCTTCAGCCCAAGTTGA GATTTGATGTATGACTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATGTGCCACGTTAACAATGTTGATAGGTAATCTTTACCTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAGATTAGGTTTTGGATTATTGTCAGAAACAAGAAAGGACACATCATG GGGCCCCACTTACTGTGATCCATACTATATGATACATGTGCTGATGAGACATTCAGCTTC ATTGACAAAATGGCATTGTCAAACTCCTTCTCATTGTTTAGACAGCTACCCGCTAATTGT GATGTGAGCGCTTCAAAGTAATCTTCGATAAGCCTTGTGAACATCTTTGTCCTCAAATCT CCGATGTACAACTCTCTATTGCCTCCTACTTGTTCCTTGTAAGACAAAGAAAATTTTAGT CTACCAGTATCAGGGCCAGTTGAATTATAAGACTGAGGCGATTCCTGACTGTAAAAACAT AGGTTTTTTAACATTGCTGTGGTGCAGTTAGTTAGGGACAAGGCTTTGCTAAGTGCTTCA GAATTACTCTCACGTTCACTTATCCTGGTATCATCAGCCAATTTCCCTGTATCAAATTTA AAGTTCAGACATTTACTCTTATAATGAGAATATCTTCCCATCAGCTTATTCCCATTCATC ACTAATAAAATAGATTTAAAGCACTGGAAATATTCTTGGTCCAGAAAAGTTCTAGTCACT ACTGCTTTTGTCATCTCACTAATAGGACATGAGTTCATTGGCCCCACATAAAAGTATTTG CTTCTCAAAGTAGCATCATTGTAGACATTCTCACAAATTTTTATGTATTGATCCTCTGAC AGGATTTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATTAACCTA ATTAAGAGTTTTTCTTCCACCACCTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCT GCTTGCTGCTGTCTCTCCGGTTGCTCCCTATATTGACTGATAATATTGTCAACAGTGCAT CTCAGTTGGTCAAAGTATTCTGATGCTCCTCCATCCAATAGTATCTCATCTAAATCAGCA TTATTGGTGTCACCACTCCCACTTTTGGACCCCAGAACAAGATTACTCATTGCTTGCTGT ATCTTGTAATCATAATCCTGTTTATTAAGTAGGAATTTGCCTTTTCGTGCAAACACTTCA GTTAACTGTGTGACAGCTAAAGCTGTAAGCTTGTTGAAATCATAATCCAGAACACGAGAT CCATCTGTATACTTATTTACAACAACACTCTTATTACTGGCCAAGTCCAAAGCTGTTGCA CAACCGCTTGTGATAAGAGGGTCTCGCAGTGTCTTCTTTACTTCCTTTTCTTTAAACAAT GAACCATTATTAAAACTAGACACAAGGAGTGAAACAAATTTTTTAGAAACACCAGGCTTT TTGTACCTAACTTTTTCCGCATCTGCACAACATTCTTTGCTTAGAAACTTTCTTGCATTG TAGACCATTTCAGCAAGCTCCTCCTCCGATGCATCATCCTTTGGGTTCACACTCACATGT CCAAATTCCAATTTGGGCTCAAGGAATTTTTCAAAGCATTTGATCTGGTCTGTCAGTCTG TCAGGTGTTTCTTTTGTAATGAAATGACACATATAGGAGATATTTAAAACAAACTTGAAT CTATTAGTCATCATACTGACAACTTCTTCAGACAGAATTATCTTCAATAAGTGACGGACA AGTCTGTAGAGCAGATATTCAACTTCTGTGATCAGATCCTCCCTGATTTTCTCAATCAAA TCCTTGTGATAAAAATCGGATACAAAGGCCATCACAAAATACCTAATGTTTTGTAAAAGT TTTTGACACCTTTTACTGGGATGTGTCAGTATCAAGACTAGGATCATTTTGGTTAACAAT CTAATAGTGATCAATTGATCAGACAACTCTGTGCACTCTTCTATCCAGCTGACCATAACA TCAACTACTTTTTGCAACACATCACTGGAGAAAACCGAAGGAAAAAACCGTTTAGGATCA GCATAAAAGGAACAAACCTCTCCAACCACATTGTTATTAATAGCATAACACTTTGAGCAT TCACCTGTCTTTTGATACAATAATTTGAATCCCATCCCATTGATGAAGAACTCCTGGCAA TAAGCCTCTTTGCACCTCACAACCTGGTATCTGGAGGGTCCAAATTCATTTTGCCTTAGT TTCACTGTGGAAGACGTCTTCATTGAGTTGATCAAAGCTAAGCTTAATGATGATAGTCTT TCTAAGTCTGTTGCATCTAGAATGTCAATAATGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGGTAACTTATAGTGGGTGTGATACCGGAGATCTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGGATCTTGAAATCAACTCCATAAGAGTTGGTTTCTATGCCA ACCTCCCTCAAAGCATTGGTGGCTCGAGTTAAAACTCTGTTGATAATGGCAAGGAGCTCA CAATTCCGTTCTTCTTTAAGTGACAAGACACCTTCATTTCTGTCTTTAGTTCTCCTCCTG CTGTCTATCCACCGCTTTAAATCTCTTTTTGTTGATTCCAATGAAACTAATCTATCGTTG ACACTCACAAAACAGGAGCCCAGCCAACCAGCAAGGAGCCTGTCACCATGCCTTATGCAG TCCAGCCGACTAGCAAGAAGAATCAGAACGTCAAAAATAAGGAGAAGTTTCCTCCTGGTG TTGAGAATCCTCAAAGACTTTATCTTATTTAGAAAAGATCTCCAACATGGCATCTGTTCA CTTTGAGAGTCAGCAGCCCTTTCCTTACCAGAATCCAAATCTGCATACAAGAACTTAAGG ACTGGGGNNNNNNNNNNNNACTGGAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCC ATTTTGTCATTGTATAGCTTTTTAAAATCCTCTAATAACTTCATCTTATCAGTCTTAACA AATTGACTTTCTATGTCCCCTTGCCTTAGTTTGTTCCTGAAGATTTGATACTCCTCTTCA ATCAAACTCTTCACTTCATGAGAGGTGAGCTTATTGTTAATGCCCTGATGACAACTAGAA ATTATTTCCTCAAAGTGTTTTGTACGCTTGTCAGTTAAAACATTGATGCTTTCAATTCCT GAAAGCCTTCCAGACGTCAAGGCTAAAGACTCGCAAAGTCTTGAATACTCAGACTCTTCG AATAATGCATTACTTTCTTGTGAATATTTTAATAAGGTGAATAAGGTGTCCCTGAGTTTA TCATTCACCCAATCAGGTATCTGTTCATTATAGAAAGTTGTCCTGCCGTCTATGAGGGGG ATGAGATTGATGCCAACAGACTCTAAATCATTCTTTAATTGCTCTAGTTTCTTGTGATCT TCTAAATACTTCTGCTCAAAATTGGCAGGGGATGATCTAACAAAGCACTCAAGTAAGATT AGAACATTACCAGTGAGTTTGTAGCCATCAGGTACCACAAAGCATAAAGCTGGGGTGAGA ATCCCATGATCACTCAAAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACATCCA TTAGCCTTGCAAGAGTCAATCTCAATGCAAAGAGATAGTAGTTTCAATCCCTCCATAAGT AACATTCTAGGTTCAGTTTGGACCAAGAAAGCTAATTTCTGTCTTGATAGCTTCTCATTA TCTGCAAGGTACTTTGAGATNNNNNCTTTGGCANNNNNNNNNNNNNNNNNNNNNNNNAAT TGTGGCACCTGTGTTGAGTTTGGGTTTATGCTAGTATGGCTTGTGGGTCAGCTGTTGGTG CCCCAC---------------------------------------- >LASV_NGA_2018_1079-1 ---------------------CTTCAGTGGAAAGACTCTTCTTAGTGAATCCCTGAATCA AAGTGCCTAATC-AAAATGGGCAACAAACAGACCAAATCGACAAAAGTTGATGAACATCA AAGAGCTCATCTAGTGCCAGATGCATCCCATTTGGGCCCTCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAAAGGCTTGGTGGAGTGTAACAACCACTATTTGTGTCTCAACTGCCTCAG CCTGCTCCTCAGTGTCAGCAGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAAGCT AAAGACAGCAGCACAGCCGAGCGCACCTCCAACCGAGGCAACCCAGAACACAACACCTCC ACCGTACACCCCATGATCCCAGGGCCAACACTCCCATCTCCATCACCC-ACCCCCCACCN NNNNNNNNNNNNNNNNNNNGGGGCCCCCCCGGGGGTGGGGCGGCCTGGCTCTACTCAATG TCCTCAATACACTTCTTCGGCCCAAACAACTCTGAACATGTCCTTCCCTTCAGTCTTAGG CTGCCCCCACTTGACTGAATCATAACTCTTTGCTTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGACTCAAGAAGCTCACTCAGTATATCCGCATAA TCCACAGGTCTCTGTCTTGTGAGGATTGAGACAATGTCCACACCCGTCCATTGAATTCTC TGTTTTAATCTATCAGACAACATTGATTTCAGTGCACCAACTAAAAGGTGCGGGGAACCA TCACCAATCTCCTTTACAAACATTTCCAAATCTTGATCTTGGATGGGTGGTGCAAACGTG GCCACCCTTCTATCAGATTCCCATAGTGCCCCCCTACATACAACCAATGGCACTGGTTCA TTGTCAGGTCCGACTTTGGAAAAGTCAAACTCACTGAACTGCAATTTATCTGGATTAACA ATCAGCTTCATAGGTATAACATCCCCTAACTGCTGTGTGTCCTTTAAGAATTCATTTATC ACACCTGATTCAACGAACCAGGCTGACCTACCTTTGAAAGTTGGACCTGACAAAGCAAGT CTCCAACAGTCAGACAGAACACATGGGCTCACAGATCCAGAATATAGTGCCTGTGCATCA TTCACTACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGGATGGAAAAA GTTTCTTTAAAACTAGCATCCTGACTTTTAATTTTATACCTAATTGTCTGATAAAACTGA ACAGAGCCCACTGGCATTGCGCTTAACAAATCAAAGAAATCTTCAAGGGAGTCCAACCTC AATTCCTCTGTCAGGCCTGAAGCAATAAGCTGGTTTAAGTTTATCTGAGCTGGTTCTATA TCAAAATCTATCCATGCATAACCCATCATTAGGTCAAACTTAAACATAGGTCTCTCTATC CCTTTGTAAACAGCTTTCTCAACGAATGAGGAGAAGGGACCCAGCCGCTGCAGACCCTCA CCCTCTGGTATTGAGGTTTTATGAGGAAACCAGGTGAATGATCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAATTATCCACTGCA TCAGCAGTACTAACTACCCTTTCTTCCATCATGGGCTCATGTGTGCGGGAGTGTGAATTT CTCAGTTCAGAAGCCAATACAACATAATGTTCTTCTCTTTTCCACTTAACAATGTGTGAG ACAAGTGAAAGTGCCTCACAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTGGAAGCTAAATCACTCATAAATGGTAATATGTGCTTC TCAAATAGAGACGGATACAAACGTCTCAAGGAATGAACGATGTGGCTCATGCCAACCCTG TCCTCTAACAGTTTCGAAACAGTGGGTCTCAAGGGGAAGTAATCACAAGGATTATGTTTA AAAAAGTCCAAGGTCTGAGCTTGTTTTGGTTCCCCGAGCACCCATGCTCCAAGTTCTATA GCTGTAGATAGTGTTATGCACATATAATCCCATAGAAGAGGTCTCAAATAAGTGATGATG GTGTCACCTCCATCTCTAACTTCTGGTGGAACTTTCCATATCTGGATTCCATTGTCCCCC ATCACTGCTTCAACACCTTGAGTCCCTAGTAGCTGAGTCTGTATGGATCTAATGTAAAGA TTCTCCTTGTTAGGGCCCCTGACACACTTGCTACCTAGTGTTCTGCACAACCCTACAAAC CCAGAAGCTATGGAACTTTGGAAAGCTGATTTATTTATTGCTTCAGACAGTAGCTTTTGA GCTCCTCTAGTGAATGTCGATGACAACTTATTTTGCAAGGTTTTCACTATTGTAGGGACC TTTTCATCTTCCAGATTCACAGCACCAGAGTAGATTATCTTTTGCCGCAACACCATTCTA AGCGGATGATGGGTGGCTAAGTTCAACCAATGATACCCCAAGTCAGAATCAGACAAAGGT TCAATGTCTAGAAGTTTAAACAAGTTCTGTAATGATGTTGTGTGTTCGCCTGATAAGTAG TTAGTAGTGAATTCCTCATGAAGCTCACCAGTCTTCAACTTATTGAACAGTATCCTAAGC ATTGACCTCATCCTTTTGCATGCATCAGGAATTAGCCTCTCAATTTGCCTCATTATCCTA TAACTACGATTCCCGTCCACCCAATCTCTTACATCAGTCTCACAGTTCAAAAGAAATGGA TCAATAGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTCTGAATCTGATTACAG AGGTCAACTGGGACACCATTAGCCACAGACTGATCAATTATGGTATCAATTGTTTCTGCC AATTGATGGGGTTCTTTGCACTTTATGTTATGTAAAGCTGCAGCAACAAATTTGGTTAGC AGGGGTACCTCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCA ATTGCACTCTTTGGACTCACAAATTTATTTAGCTGATCACTCATGTAGTAATGGAATTCT AACAATGTTCTGAATTCCTCTGTATCTCTTGAGAGTAACTCTGTTAAGTTCTGATCAAAC AATGAAATCTGGTCGTCACTGGACGTGTAAGCATCAATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGCAGG ATACCCTGCCCCATATCAAGGATTGAACTAATGTGTGAGGGGACCGTGCCAATTTGAAAA TTGGAATTAAAAAAGTCTTCAGTCATTGATTGAGTTGTCTTCTTCTTCAGTCCAAGTTGG GATTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGAATCTCAACCATTTTG TGCATATGCCATGTTAATAGTGTTGATAGGTAATCTTTGCCTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAAATTAGGTTTTGAATTATTGTTAGGAACAAGAAGGGACACATCATG GGGCCCCACTTACTGTGATCCATACTATATGATACATGTGCCGATGAGACATTCAGCTTC ATTGACAAAATGGCATTGTCAAACTCCTTCTCATTGTTTAGGCAGCTGCCCGCTAATTGT GATGTGAGTGCTTCAAAGTAATCTTCAATAAGCCTTGTAAACATCTTTGTCCTTAAATCT CCGATGTACAACTCTCTATTACCCCCCACTTGTTCCTTATAAGACAAAGAAAATTTTAGT CTACCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCCTGACTGTAAAAACAT AGGTTTTTTAACATCGCTGTAGTACAGTTAGTTAGGGACAAGGCCTTGCTAAGCGCTTCA GAATTACTCTCACGTTCACTTATCCTGACATCATCAGCCAATCTTCCCGTATCAAATTTA AAATTCAGACACCTACTTTTATAATGAGAGTATCTCCCCATCAGCTTATTCCCATTCATT ACTAATAAAATTGACTTAAAGCACTGAAAATATTCTTGGTCCAAGAAAGTCCTAGTCACC ACTGCTTTTGTCAGCTCGCCGATAGGACATGAGTTCATTGGCCCTACATAAAAATATTTA CTTCTCAAAGCAGCATCATTGTAGATACCCTCACAAATTTTGATGTATTGATCCTCAGGC AGGATTTCTCGATCAAAATCTTCTACCATATGGTTTGAAAGTTCACTTTTTATTAACCTT ATTAAGAGTTTTTCTTCCACCACCTTGTCAAGATCAGATATCGAGGGTGCATTGCAGTCT GCCTGCTGCTGTCTTCCCGGTTGTTCCTTATACTGATTGACAATATTGTCAACAGTGCAC CTCAGTTGGTCAAAGTATTCTGATGCTCCCCCATCCAATAGTATCTCATCTAGATCAGCA TTGTTGGTGTCATCACTCCCTCCTTTGGACCCCAGAACAAGATTGCTCATTGCTTGCTGT ATTTTATAATCATAATCCTGTTTATTAAGTAAGAATTTGCCTTTACGTGCAAACACTTCA GTTAATTGTGTGACAGCCAAAGCTGTAAGCTTGTTGAAATCATAATCCAGAACACGAGAT CCATCTGTATACTTATTCACAACAACACTCTTATTACTGGCCAAATCCAAAGCTGTTGCA CAGCCACTTGTGATAAGAGGGTCTCGCAGTGTCTTCTTTACCTCTTTTTCTTTAAACAAT GAACCATTATTGAAACTAGACACAAGGAGTGAAATGAATTTTTTGGAAACACCAGGCTTT TTATACCTGACTTTGTCCACATCTGCACAACACTCTTTGCTTAGAAACTTTCTTGCATTG TAAACCATCTCAGCAAGCTCCTCTTCCGATGCATCATCCTTTGGGTTCACACTCACATGT CCAAATTCCAGTTTGGGCTCAAGGAATTTTTCAAAGCATTTGATCTGGTCAGTTAGTCTG TCAGGTGTTTCTTTTGTAATAAAGTGACACATATAAGAGATATTCAAAACAAATTTGAAT CTATTGGTCATCATACTGACAACTTCTTCAGACAGAATTATCTTCAATAAGTAGCGAACG AGTCTGTAGAGCAGATATTCAACTTCTGTGATCAAATCTTCCCTGATTTTCTCAATTAAA TCCTTGTGGTAAAAATCGGATACAAAGGCCATCACAAAATACCTAATGTTTTGTAAAAAT TTCTGACACCTTTTACTAGGATGTGTCAGTATTAAAACTAAAATCATCTTGGTTAACAAT TTAATAGTGATCAATTGTTCAGACAACTCTGTGCACTCTTCTATCCAGCTGACCATAACA TCAACTACTTTCTGCAACACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTAGGATCA GCATAAAAAGAACAAATCTCTCCAACTACATTGTTATTAATGGCATAACACTTTGAGCAT TCACCTGTCTTTTGATACAATAGTTTGAATCCCATCCCATTGATGAAAAACTCTTGACAA TAGGCTTCTTTGCACCTCACAACTTGGTATCTAGATGGCCCAAATTCATTTTGCCTCAGT TTCACAGTGGAAGACGTTTTCATTGAGTTTATCAAAGCTAAGCTCAATGATGATAGTCTT TCTAAGTCTGTTGCATCTAGAATGTCAATGACACCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGGTAACTTATTGTGGGTGTGATACCGGAGATTTCAATGTCCATGATGACA TCATAAACATCACAATCAAGGATCTTGAGATCAATTCCATAAGAGTTGGTTTCTATGCCA ACCTCCCTCAAAGCATTAGTGGCTCGAGTTAAAACTCTATTGATGATGGCAAGGAGCTCA GAATTCCGTTCTTCTTTAAGTGATAGGACACCTGCATTTCTGTCTCTAGTTCTTTTCCTG CTGTCTATCCACCGTTTTAAATCTCTTTTTGTTGATTCCAATGAGACCAATCTATCGTTG ACACTCACAAAACAGGAGCCCAGCCAACCAGCAAGGAGCCTGTCACCATGCCTTATGTGG TCCAGCCGACTAGCAAGAAGAATCAGAACGTCAAAAATAAGGAGAAGTTTCCTCCTGGTG TTGAGGATCCTCATAGACTTTATCTTATTTAGAAAAGATCTCCAACATTGCATCTGTTCA CTTTGAGAGTCAGCAGTCCTTTCTTCACCAAAATTCAAATCTGCATACAAGAACTTAAGG ACTGGAGAGGCTCTTCGGAACTGGAATGTTAATTGTTCAATGTTGTCATCACAGGTGTCT ATCTTATCACTATATAGCTTTCTGAAATCCTCTAATAACTTCACCTTATCGGTCTTAACA AATTGACTTTCTATGTCCCCTTGCCTTAGTTTGTTCCTGAAAATTTGATACTCCTCCTCG ATTAAACCCTTGACTTCATGAGAGGTAAGCTTGTTATTAATGCCTTGATGACAACTAGAA ATTATTTCTTCAAAGTGTTTTGCACGCTTGTCAGTTAGAGCATTGATGCTTTCAATTCCT GAGAGCCTCCCAGACGTTAAGGCTAAAGACTCACAAAGTCTTGAATACTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAATATTTTAACAGGGTGAATAAGGTGTCCCTGAGCTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTGGTCCTGCCGTCAATGAGAGGG ATGAGGTTGATGCCAACAGACCCCAAATCATTCTTTAATTGTTCTAATTTTTTGTGATCT TCTAAATACTTCTGTTCAAAGTTGGCGGGGGATGACCTAACAAAGCATTCAAGTAAGATT AGAATATTACCAGTGAGTTTGTAACCGTCAGGCACCACAAAACACAAAGCTGGGGTGAGA ATCCCATGATCACTCAGAATAGATTCAACCGTTTTGTTTTCAGTGTTATGTTCACATCCA TTAGCCTTGCAAGAATCAATCTCAATGCAAAGAGATAATAGCTTTAATCCCTCTATAAGC AACATTCTGGGTTCAGTTTGGACCAGAAAAGCTAACTTCTGTCTTGATAGCTTCTCATTG TCCGCAAGGTACTTTGAGATAAGATCTTTAGCATTGGCAATGTCTTCCTCCATTGCCAAT TGTGGCGCCTGTGTTGGGTTTGGGTTTGTACCAGTATGGCTTGTAAGTCAGCTGGTGATG CCCCGCAAAGGTTCCCACAAAAATGAGAGACAATATGC-------- >LASV_NGA_2018_1177-1 ----------ATTTAGCTGGACTTCAGTGGCAAGGCTCATTTTAGTGAATCCTTGAATC- AAGTGCCTAGTC-GAAATGGGCAACAGACAGACCAAATCAACAAAAGTCGATGAGCATCA AAGAGCTCATCTAGTGCCAGATGCATCCCATCTAGGCCCCCAGTTTTGCAAAAGTTGCTG GTTTGAGAACAAGGGGTTGGTAGAGTGCAACAACCACTACCTGTGCCTCAACTGTCTCAG CCTGCTCCTCAGCGTCAGTAGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAAGCT GAAGGCAGCAGCACAGCCCAGCGCACCCTCAACTGAGGCAGCCCAGAACACAGCACCTCC ACCGTATGCCCCATGATCTCAAGACCAACACCTCCATCTCCATCACCCACCCCCCACCCC CGGGGGNNNNNNNNNCCGGGGGCCCCCCCGGGGGGGCAGGCAGCCCAGCTCTACTCTATG TCCTCAACACACCTCTCCGGCTCAAACAACTCTGAACATGTCCTTCCCTTTAGTCTTAGG CTGCCTCCACTTGACTGAATCATAACTCTTTGCCTTGATTTACTGTAGCAAAGGGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATCAGCATGA TCCACAGGTCTCTGTTTTGTGAGGATTGAGACAATGTCCACACCCGTCCATTGAACTCTT TGTCTTAATCTATCACACATCATTGATTTCAATGCACCAACCAAAAGATGTGGGGAACTA TCACCAATCTCTCTTACAAACATTTCCAAATCTTGATCTTGAATAGATGGTGTAAATGTA GCTACCCTTCTATCAGATTCCCACAATGCTCCCCTACATACAACCAATGGCACTGGTTCA TTGTCAGGTCCGACCTTGGAGAAATCAAACTCACTAAACTGCAGTTTATCTGGATTGATA ATTAGCTTCATGGGTATAACATCCCCTAACTGCTGTGTATCCTTTAAAAACTCATTCACC ACATCTGACTCAACAAACCAGGCTGACCTACCTTTGAAAGTTGGACCCGACAGAGCAAGT CTCCAACAGTCAGATAGAACACATGGGCTCACAGACCCAGAATACAGTGCTTGTACATGA TTCACCACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGGATGGAAAAG GTCTCTTTAAAACTAGCATCCTGACTCTTGATTTTATACCTAATTGTCTGGTAAAACTGA ACAGAGTCCACTGGCATTGTACTTAACAAATCAAAGAAATCTTCAAGGGAGTCTAGCCTC AATTCTTCTGTCAGGCCTGAAGCAATAAGCTGATTCAAATTTATCTGGGCTGGCTCTATG TCGAAGTCTATCCATGCATAGCCCATCATTAGATCAAACTTGAACATAGGTCTCTCTATC CCTTTGTAAATAGCTTTCTCGATGAATGAAGAGAAGGGACCCAGTCGTTGCAGACCTTCA CCCTCTGGTATTGAGGTTTTATGAGGGAACCAAGTGAATGACCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTTTCTTCCATCATCGGCTCATGTGTGCGAGAGTGTGAGTTT CTCAGTTCAGAAGCCAATACAACATAGTGTTCCTCCCTCTTCCACTTAACAATGTGTGAA ACAAGTGAAAGTGCCTCGCAATTCACATCTAGAGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTAGAAGCTAAATCACTCATAAACGGCAATATGTGCTTT TCAAATAGAGATGGATATAAACGTCTCAAAGAATGAATGATGTGGCTCATGCCAACCCTG TCCTCTAGCAGTTTCGAAACAGTGGGTCTCAAGGGGAAGTAATCACAAGGATTATGTTTA AAAAAGTCCAGGACCTGAGCTTGTTTTGGTTCCCCGAGCACCCACGCTCCAAGTTCTATA GCTGTAGATAATGTTATGCACATATAATCCCATAGAAGAGGTCTTAAATAAGTGACAACA GTATCACCTCCATCTTTGACTTCAGGTGAAACTTTCCATATTTGTATCCCATTGTCCCCC ATCACTGCTTCAACACCTTGAGTCCCCAGTAGCTGAGTCTGTATGGATCTAATGTAAAGA TTCTCCTTGTTAGGGCCTCTGACGCACTTGCTGCCCAGTGTTCTGCACAATCCCACAAAC CCAGATGCTATAGAACTTTGGAAAGCTGATTTATTTATTGCTTCAGACAGTAACTTCTGA GCTCCTCTAGTGAATGTTGATGACAACCTATTTTGCAAGGTTTTTATTATTGTGGGGACC TTCTCATCTTCCAGATTCACAGCACCAGAGTAGATTATCTTTTGCCGCAACACCATTCTG AGCGGGTGATGGGTAGCTAAGTTCAACCAATGAAACCCCAAGTCAGAATCAGACAAAGGT TCAATGTTTAGAAGCTTAAATAAGTTCTGTAATGATGCTGTGTGTTCACCTGATAGGTAG TTGGTGGTGAATTCCTCATGAAGCTCACCAGTTTTTAATTTATTGAATAATATCCTAAGC ATTGACCTCATCTTTTTGCATGCATCAGGAATAAGCCTCTCAATTTGCCTCATTATTCTA TAACTACGATTCCCGTCCACCCAATCTCTTACATCAGTCTCGCAGTTTAAGAGGAATGGA TCAATGGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTCTGAATTTGATTGCAC AGGTCAACTGGGACACCGTTAGCCACAGATTGATCAATTATGGTATCAATTGTTTCTGCC AATTGATGGGGTTCTTTGCACTTTATGTTATGCAGAGCTGCAGCAACAAATTTTGTTAGC AGAGGCACCTCATCACCCCAAACATAGAATCTTGATTTGAACTCTGCAACAAACCTGCCA ATTGCGCTCTTTGGACTCACAAACTTATTTAGCTGGTCACTCATGTAGTAATGGAATTCT AACAATGTTTTGAATTCCTCTGTATCTCTTGAGAGTAACTCTGTTAAGTTCTGATCAAAT AATGATATCTGATCATCACTGGACGTATAAGCATCGATTTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTCTCAGAGATCAACGCATAAAAGTCTGAGGTGTTGTGCAGT ATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGGACTGTGCCAATTTGGAAG TTAGAATTAAAGAAGTCTTCAGTCATTGATTGAGTTGTCTTCTTCTTCAGTCCAAGTTGG GATTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCATGTTAATAATGTTGATAGGTAATCTTTACCTTTTAAATCAGCCTGTAAA TCATCAGAAAGTAGGATTAGGTTTTGAATTATTGTTAGAAACAAGAAAGGACACATCATA GGGCCCCACTTACTGTGATCCATGCTGTATGACACATGTGCCGATGAGACATTCAACTTC ATGGACAGAATGGCATTGTCAAATTCCTTCTCATTATTAAGACAGCTGCCCGCTAATTGT GATGTGAGTGCTTCAAAGTAATCCTCGATGAGCCTTGTGAACATTTTTGTCCTTAAATCT CCGATGTACAGTTCTCTATTGCCTCCCACTTGTTCCTTGTAAGACAAAGAAAATTTTAGT CTACCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCCTGACTGTAAAAACAC AGATTTTTTAACATTGCTGTAGTACAGTTAGTCAAGGATAAAGCCTTGCTAAGTGCTTCA GAATTACTCTCACGTTCACTTATTCTGACATCATCAGCTAATCTTCCTGTATCAAATTTG AAGTTCAGACACTTACTCTTATAATGAGAGTATCTCCCCATCAGCTTATTTCCATTCATC ACTAATAAAATTGACTTGAAGCACTGGAAATATTCTTGGTCCAAAAAAGTCCTAGTCACC ACTGCTTTTGTCAGCTCACTAATAGGACATGAGTTCATTGGCCCCACATAAAAGTATTTA TCTCTCAAGGCAGCATCATTGTAGATATTCTCACAAATTTTGATGTACTGATCCTCAGAC AGGATCTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATCAACCTT ATCAGGAGCTTTTCTTCCACCACCTTGTCAAGATCAGATATTGAAGGTGCATTGCAGTCT GCTTGCTGCTGTCTTTCCGGTTGCTCCCTATACTGACTGACAATATTGTCAACAGTGCAC CTTAGTTGATCGAAGTATTCTGATGCTCCTCCATCCAATAGTATCTCATCTAGATCAGCG TTGTTGGTGTCACCACTCCTTCCCTTGGACCCCAGAACAAGATTGCTCATTGCTTGCTGT ATCTTGTAATCATAATCCTGTTTATTAAGCAAAAATTTTCCTTTACGTGCAAACACCTCA GTCAACTGTGTGACAGCCAAGGCTGTAAGTTTGTTGAAGTCATAATCCAGGACACGAGAC CCATCTGTATACTTGTTCACAACAACACTCTTATTACTGGCCAGGTCCAGGGCTGTTGCA CAACCGCTTGTGATAAGAGGGTCCCGCAGTGTCTTCTTTACTTCCTTTTCTTTAAACAAT GAACCATTATTGAAGCTAGACACAAGGAGTGAGATAAACTTTTTAGAAACACCAGGCTTT TTATACCTAACCTTCTCCGCATCTGCACAACATTCCTTACTTAGAAACTTTCTTGCATTA TAAACCATTTCAGCAAGCTCTTCCTCTGATGCATCATCTTTTGGGTTCACACTCACATGT CCAAATTCCAATTTGGGCTCAAGGAACTTTTCGAAGCATTTGATCTGATCAGTTAGTCTG TCAGGCGTTTCTTTTGTAATGAAATGACACATATAAGAGATATTCAAAACAAACTTGAAT CTATTGGTCATCATGCTGACAACTTCTTCAGACAGAATTATCTTTAATAAGTGACGGATG AGCCTATAGAGCAGATATTCAACTTCTGTGATCAAATCCTCCTTAATTTTCTCAATCAAA TCCTTGTGATAAAAGTCGGATACAAAGGCCATCACAAAATACCTAATGTTTTGTAAAAGT TTTTGACACCTTTTACTAGGATGTGTTAGTATCAAAACTAAAATCATTTTGGTTAACAAT TTGATAGTGATCAAATGTTCAGATAACTCTGTGCACTCTTCTATCCAGCTGACCATAACA TTGACTACTTTTTGCAGCACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTAGGGTCA GCATAAAAGGAACAAACCTCTCCAACTACATTGTTGTTGATAGCATAACACTTTGAGCAT TCACCTGTCTTTTGATATAATAGTTTGAATCCCATCCTGTTGATGAAGAACTCCTGGCAG TAGGCCTCTTTGCACCTTACAACCTGGTATCTAGAGGGTCCAAATTCATTTTGCCTTAGT TTTACTGTGGAAGATGTTTTCATTGAGTTGATCAAAGCCAAGCTCAATGATGATAGTCTT TCTAAGTCTGTTGCATCAAGAATGTCAATGACGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGGTAACTTATAGTGGGTGTGATGCCGGAGATCTCAATGCCCATGATGGCA TCATAAACATCACAATCAAGGATTTTGAAATCAATTCCATAAGAGTTGGTTTCTATGCCA ACCTCCTTTAAAGCATTAGTGGCTCGAGTTAAAACTCTGTCGATGATGGTAAGGAGCTCA CAATTCCGTTCTCCTTTAGGTGATAGGACACTTGCATCTCTATCTTTAGTTTTCTTCCTG CTGTCTATCCACCGTTTTAAATCCCTTTTTGTTGATTCCAATGAAACTAATCTATCGTTA ACACTCACAAAACAAGAGCCCAGCCAACCAGCAAGGAACCTATCACCATGCCTTATGCAG TCCAGCCGGCTAGCAAGAAGAATCAGAATGTCAAAAACAAGGAGAAGTTTCCTCCTGGTA TTGAGGATCCTCAGAGACTTTATCTTATTCAGAAAAGACCTCCAACATTGCATCTGATCA CTTTGAGAATCAGTAGCCCTTTCCTTACCAGAATCCAAGTCTGCATACAAGAACTTGAGG ACTGGAGAGGCTCTTCGGAATTGGAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCT ATTTTGTCACTATATAACTTTCTGAAATCCTCTAATAACTTCATCTTATCAGTTTTAACA AATTGACTTTCTATGTCCCCCTGCCTCAGTTTATTCCTGAAGATCTGGTACTCCTCCTCA ATTAAACTCTTGACTTCGTGAGAAGTGAGTCTGTTATTAATACCCTGATGACAACTAGAA ATTATTTCTTCGAAATGTTTTGCACGCTTGTCAGTTAGAACATTGATACTTTCAATTCCT GAGAGCCTCCCAGACGTTAAGGCTAAAGATTCACAAAGTCTTGAATACTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAATATTTTAACAGGGTGAATAAAGTGTCCCTGAGCTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTTGTCCTGCCGTCTATGAGAGGG ATAAGATTGATGCCAACAGACTCCAAATCATTCTTTAACTGTTCTAGTTTCTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCGGGGGATGATCTGACAAAGCACTCAAGTAGGATT AGAACGTTACCAGTGAGTTTGTAGCCGTCAGGTACTACAAAGCATAAAGCTGGAGTGAGA ATTCCATGATCACTCAGAATGGATTCAACCGTTTTGTCCTCAGTGTTGTGTTCACACCCG TTAGCCTTGCAGGAGTCAATCTCAATGCAGAGAGACAGTAGTTTCAATCCCTCCATGAGC AACATTCTAGGTTCAGTTTGGACCAGAAAAGCTAACTTCTGTCTTGATAGCTTCTCATTG TCTGCAAGGTACTTTGAGATGAGGTCTTTAGCATTGGCAATGTCTTCCTCCAT------- ------------------------------------------------------------ ---------------------------------------------- >LASV_NGA_2018_1375-1 ------------------------------------------------------GAATTA TAGTGCCCAGCCAAAAATGGGCAACAGACATGCCAAATCGACAAAAATCAATGAACATCA AAGAGCTCATCTAGTGCCAGATGCATCCCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGGTTGGTAGAGTGCAACAATCACTATCTGTGTCTCAACTGTCTCAG CCTGCTCCTCAGTGTCAGCAGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAAGCT AAAGGCAGCAGCACAGCCAAGTGCACCATCGACCGAGGCAATCCAGAACACAACACCTCC ACCATACACCCCATAATCCCAGGACCAACACTCTCACCTCCATCACCCANNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCTACTCAATG TCCTCAATGCACTTCTCCGGCCCAAACAACTCTGAACATGTCCTTCCCTTCAGTCTTAGG CTGCCCCCACTTGACTGAATCATGACCCTTTGCTTTGATTTGCTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATCAGCATAA TCCACAGGTCTCTGTTTTGTGAGGATTGAGACAATGTCCACACCTGTCCATTGAATTCTT TGTTTTAATCTATCAGACATCATTGATTTCAATGCACCAAGTAAAAGGTGCGGGGGACTA TCACCAATCTCCCTTACAAACATATCTAAATCTTGATCTTGGATAGATGGTGTGAATGTA GCTACCTTTCTATCAGATTCCCACAGTGCCCCTCTACATACAACCAATGGCACTGGTTCG TTGTCAGGTCCAACCTTGGAGAAGTCAAACTCACTGAACTGCAGTTTATCTGGATTAATA ATCAGCTTCATGGGTATAACATCCCCTAGCTGCTGTGTGTCCTTCAAGAATTCATTTACC ACATCTGATTCAATAAACCAGGCTGACCTACCTTTGAAAGTTGGACCCGACAAAACAAGT CTCCAACAGTCAGGCAGAACACATGGGCTCACAGATCCAGAGTATAGTGCCTGCACATCA TTCACTGCAAACTCACCATACTGATTAACAATTCCTGTCATGTTGAGATGGATAGAAAAA GTCTCTTTAAAACTAGCATCCTGACTCTTGATTTTATATCTTATTGTCTGGTAAAACTGA ACAGAGTCCACTGGCATTGTACTCAACAAATCAAAGAAATCCTCAAGAGAGTCTAACCTC AATTCCTCTGTCAAGCCTGAAGCAATAAGCTGGTTCAAGTTTATCTGAGCTGGCTCTATG TCAAAGTCTATCCATGCATAGCCCATCATTAGATCAAATTTAAACATAGGTCTCTCTATC CCTTTGTAAATGGCTTTCTCAATGAATGATGAGAAGGGACCTAGTCGCTGCAGACCTTCA CCCTCTGGTATTGAGGTTTTATGAGGGAACCAAGTAAATGACCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTTTCTTCTATCATGGGCTCATGTGTGCGAGAGTGTGAGTTT CTCAGTTCAGAAGCCAATACAACATAATGTTCCTCCCTCTTCCACTTAACAATGTGTGAA ACAAGTGAAAGTGCCTCGCAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTAGAAGCTAAGTCACTCATAAATGGCAATATATGCTTC TCAAATAGAGACGGATATAAACGTCTCAAAGAATGAATGATGTGGCTCATACCAATCCTA TCCTCTAGCAGTTTTGAGACAGTGGGTCTCAAGGGGAAGTAATCACAAGGATTGTGTTTA AAGAAGTCCAAAACCTGAGCTTGTTTTGGTTCCCCGAGCACCCATGCTCCAAGTTCTATG GCTGTGGATAGTGTTATGCACATATAATCCCAGAGAAGAGGTCTTAAATAAGTGACAACA GTTTCACCTCCATCTTTGACTTCTGGTGAAACTTTCCATATCTGGATTCCATTGTCCCCC ATCACTGCTTCAACACCTTGAATCTCTAATAACTGAGTCTGTATGGATCTAATATAAAGA TTCTCCTTGTTGGGGCCTCTGACGCACTTGCTACCTAGTGTTCTACACAACCCTACAAAC CCTGATGCTATAGAGCTTTGGAAAGCTGATTTATTTATCGCTTCAGACAGTAGCTTTTGA GCTCCTCTAGTGAATGTCGATGACAACCTATTTTGCAAGGTTTTTACTATTGTAGGGACC TTTTCATCTTCCAGGTTCACAGCACCAGAATAGATTATCTTTTGCCGCAACACCATTCTA AGCGGGTGATGGGTGGCTAAATTCAACCAATGAAACCCCAAGTCAGAATCAGATAGAGGC TCAATGCCTAGAAGTTTGAACAAATTCTGTAATGATGTTGTGTGTTCACCTGATAGGTAG TTGGTAGTGAATTCTTCATGAAGCTCACCAGTTTTTAATTTATTGAACAATATCCTAAGC ATCGACCTCATCTTTTTGCATGCATCAGGAATCAGCCTCTCAATTTGCCTCATTATCCTA TAACTACGATTCCCGTCTACCCAATCTCTTACATCAGTTTCGCAATTCAAAAGGAATGGA TCAATGGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTCTGAATTTGATTACAC AGATCAACTGGGACACCATTAGCCACAGATTGATCAATTATGGTATCAATTGTTTCTGCC AACTGATGGGGTTCTTTGCACTTTATGTTATGTAAAGCTGCAGCGACAAATTTTGTTAGC AGAGGTACCTCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCA ATTGCACTCTTTGGACTCACAAATTTATTTAACTGATCACTCATGTAGTAATGGAATTCT AATAATGTTTTGAATTCCTCTGTATCTCTTGAGAGCAACTCTGTTAAGTTCTGATCAAAT AAAGATATCTGATCGTCACTGGACGTGTAAGCATCGATTTGTCCTCCAGACACACACTTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGCAGG ATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAAGGGACTGTGCCAGTTTGAAAG TTGGAATTAAAAAAGTCTTCAGTCATTGATTGAGTTGTCTTCTTCTTCAATCCAAGTTGG GATTTGATGTATGACTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCATGTTAATAATGTTGATAGGTAATCTTTACCTTTCAAATCAGCTTGCAAA TCATCAGAAAGTAAGATTAGGTTTTGAATTATTGTTAGAAATAAGAAAGGACACATCATA GGGCCCCACTTACTGTGATCCATACTATATGACACATGTGCCGATGAAACATTCAGCTTC ATTGACAAAATGGCATTGTCAAACTCCTTCTCATTGTTTAGACAGCTGCCTGCTAATTGT GATGTGAGCGCTTCAAAGTAATCCTCAATGAGCCTTGTAAACATCTTTGTCCTTAAGTCC CCGATGTACAACTCTCTATTGCCTCCCACTTGTTCCTTGTACGACAAAGAGAATTTTAGT CTACCAGTGTCAGGGCCAGTCGAATTATAAGATTGAGGTGATTCTTGACTGTAAAAACAC AGATTTTTTAACATTGCTGTAGTGCAGTTGGTTAGGGACAAGGCCTTGCTGAGTGCTTCA GAATTGCTCTCACGTTCACTTATTCTGACATCATCAGCCAATCTCCCTGTGTCAAATTTA AAGTTCAGACACTTACTCTTATAATGAGAGTATCTTCCCATCAGCTTATTCCCATTCATC ACTAATAAAATTGACTTAAAACACTGGAAATATTCTTGGTCCAAAAAAGTCCTAGTCACC ACTGCTTTTGTCAGCTCACTAATAGGACATGAATTCATTGGCCCCACATAAAAATACTTA CTTCTCAAAGTAGTATCATTGTAGATACTCTCACAAATTTTGATGTATTGATCTTCAGAC AGGATTTCTCGATCAAAATCCTCTATCATATGATTTGAAAGTTCACTTTTTATCAACCTT ATTAAGAGTTTTTCTTCCACCACCTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCT GCCTGCTGCTGTCTTTCTGGTTGCTCCCTATACTGACTGACAATACTGTCAACAGTGCAC CTCAGTTGGTCAAAGTATTCCGATGCTCCTCCATCCAATAGTATCTCATCTAGATCAGCA TTGTTGGTGTCATCACTCCCTCCTTTGGATCCCAGAACAAGATTACTCATTGCTTGCTGT ATCTTGTAATCATAATCCTGCTTATTAAGCAAGAACTTGCCTTTACGTGCAAATACTTCA GTTAACTGTGTGACAGCCAGAGCTGTAAGCTTGTTAAAGTCATAATCCAGAACACGGGAC CCATCTGTATACTTATTTACAACAACACTCTTATTACTGGCCAAGTCCAAAGCTGTTGCA CAGCCGCTTGTAATAAGAGGGTCTCGCAGTGTCTTCTTCACTTCCTTTTCTTTAAACAAT GAACCATTATTAAAACTAGACACAAGAAGTGAAATAAATTTCTTGGAAACACCAGGCTTT TTATACCTAACTTTTTCCGCATCTGCACAACATTCTTTACTTAGAAACTTCCTTGCATTA TAAACCATTTCAGTAAGCTCTTCCTCCAATGCATCATCCTTCGGGTTCACACTTACATGT CCAAACTCCAGTTTAGGCTCAAGGAATTTCTCAAAGCATTTGATCTGGTCAGTCAGCCTG TCAGGTGTTTCTTTTGTAATGAAATGACACATATAAGAGATATTTAAAACAAACTTGAAC CTGTTAGTCATCATACTGACAACTTCTTCAGACAGTATTATCTTTAGTAAGTGACGAACA AGTCTGTAGAGAAGATATTCAACTTCTGTGATCAAATCCTCTCTGATTTTCTCAATCAAA TCCTTGTGATAAAAATCGGACACAAAGGCCATCACAAAGTACCTAATGTTTTGTAAAAAT TTTTGACACCTTTTACTAGGATGTGTTAGTATCAAAACTAAAATCATTTTGGTTAACAAT TTTATAGTGATCAATTGTTCAGATAACTCTGTGCACTCTTCTATCCAGCTGACCATAACA TCGACTACTCTCTGCAACACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTGGGATCA GCATAAAAGGAACAAACCTCTCCAACCACATTGTTGTTGATAGCATAACACTTTGAGCAT TCACCTGTCTTTTGATACAATAGTTTGAATCCTATCCTATTGATGAAGAACTCTTGGCAG TAAGCCTCTTTACACCTCACAACCTGATATCTAGAGGGTCCAAATTCATTTTGCCTTAGT TTCACTGTAGAAGACGTTTTCATTGAGTTGATCAAAGCCAGGCTCAGTGATGATAGTCTT TCCAAATCTGTCGTATCTAGAATGTCAATGACGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTCTTCTGGTAACTTATAGTTGGTGTGATACCGGAGATCTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGGATTTTGAGATCAATTCCATAAGAGTTGGTTTCTATGCCA ACCTCCTTCAAAGCGTTAGTGGCTCGAGTTAAAACTCTGTTGATGATGGCAAGGAGCTCA CAATTTCGTTCTTCTTTAAGTGATAGGAAACCTGCATTCCTGTCTTTAGTTCTCTTCCTG CTGTCTATCCACCGTTTCAGATCTCTTTTTGTTGAATCCAATGAAACTAATCTATCGTTA ACACTCACAAAACAGGAGCCCAGCCAGCCAGCAAGGAGCTTGTCACCATGCCTTATGCAG TCCAGCCGGCTAGCAAGAAGAATCAGAACGTCAAAAATAAGGAGAAGTTTCCTCCTAGTG TTGAGGATCCTTAGAGATTTTATCTTATTCAGAAAAGATCTCCAACACTGCATCTGTTCA CTTTGGGAGTCAGCAACCCTTTCCTCACCAGAATCCAGATCTGCATACAAGAACTTTAGG ACTGGAGAGGCTCTTCGGAACTGGAATGTTAACTGTTCAATATTGTCATCACAGGTGTCT ATTTTATCACTATATAGCTTTCTGAAATCCTCTAATAACTTCATCTTATCAGTCTTAACA AATTGACTTTCTATGTCCCCTTGTCTTAGTTTGTTCCTGAAGATTTGATACTCCTCTTCA ATTAAACTTTTGACTTCATGGGAGGTGAGCTTGTTATTAATACCCTGATGACAACTAGAA ATTATTTCCTCAAAGTGTATTGCACGCTTGTCAGTTAGAACATTGATGCTTTCTATTCCT GAGAGCCTCCCAGACGTTAAGGCTAAAGACTCACAAAGTCTTGAATACTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAATACTTTAACAAGGTAAATAAGGTGTCCCTGAGTTTG TCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTTGTCCTACCATCTATGAGAGGG ATAAGATTGATGCCAACAGATTCCAAATCATTCTTCAATTGTTCTAGTTTCTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCGGGGGATGATCTGACAAAGCACTCAAGTAAGATA AGTACATTACCAGTGAGTTTGTAGCCATCAGGCACCACAAAGCATAAAGCTGGAGTGAGA ATCCCATGATCACTCAGAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACATCCA TTGGCCTTGCAAGAATCAATCTCAATGCAAAGGGATAGTAGTTTCAATCCCTCCATGAGC AACATTCTGGGTTCGGTTTGGACCAAAAAAGCTAACTTTTGTCTTGATAGCTTCTCATTA TCTGCAAGGTACTTTGAGATAAGATCTTTAGCATTAGCAATGTCTTCCTCCATCACCAAT TGTGGTGCCTGTATTGGGTTTGGGTTTGTGCTAGAATGGCTTGTGGGTCAGCTG------ ---------------------------------------------- >LASV_NGA_2018_1381-1 ------------------------------------------------------------ -------------------GGCAACAAACAGGCCAAATCGACAAAAGTCGATGAACATCA AAGGGCTCATCTAGTGCCAGATGCATCCCACCTGGGCCCTCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGGTTGGTAGAGTGCAACAACCATTACCTGTGTCTCAATTGTCTCAG CCTGCTCCTCAGCGTCAGCAGCAGATGCCCGATATGCAAGATGCCCCTTCCCACCAAGCT AAAAGCAGCAGCACAGCCGAGCGCACCACCAGCCAAGGTGACCCAGGACACAACACCTCC ACCGTACACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNCCCGGGGGGCGGGCAGTCCAGCTCTACTCAATA TCCTCAACGCACTTCTCCGGTCCGAACAACTCTGAACATGTCCTTCCCTTCAGTCTTAGG CTGCCCCCACTTGACTGAATCATGACTCCTTGCTTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATCGGCATAA TCCATAGGTCTCTGTTTTGTGAGGATTGAGACAATGTCTACACCCGCCCATTGAATTCTT TGTTTCAGTCTATCAGACATCATCGATTTCAGCGCACCAACTAGAAGGTGCGGGGAACTA TCACCAATCTCCCTTACAAACATTTCTAAATCTTGATCCTGGATAGATGGTGTGAATGTA GCCACCCTTCTATCAGATTCCCACAGTGCCCCCCTACATACAACCAATGGCACTGGTTCG TTGTCAGGTCCGACCTTAGAGAAATCAAACTCACTGAACTGTAGTTTATCTGGATCAACA ATCAGCTTCATGGGTATAACATCCCCCAATTGCTGTGTATCCNNNNNNNNNNNNNNNNNN NCATCTGATTCGACAAACCAGGCTGACCTACCTTTGAAAGTTGGACCCGATAGAGCAAGT CTCCAACAGTCAGACAGAACACACGGGCTCACAGACCCAGAATATAGTGCCTGTACATCA TTTACCACAAACTCACCACATTGATTAACAAGCCCTGTCATGTTGAGATGGATAGAAAAA GTCTCTTTAAAGCTAGCATCCTGACTCTTAATTTTATACCTAATTGTCTGATAAAACTGA ACAGAGTCCACTGGCATTGTGCTCAGTAAATCAAAGAAATCTTCAAGGGAGTCTAACCTC AATTCCTCTGTCAGGCCTGAAGCAATAAGCTGGTTCAAGTTTATCTGAGCTGGTTCTATG TCAAAGTCTATCCATGCATAGCCCATCATTAGATNNNNNNNNNNNNNNNNNNNNNNNNNN NCTTTGTAGATAGCTTTTTCAACGAATGAAGAGAAGGGACCCAGTCGTTGCAGACCCTCA CCCTCTGGTATTGAGGTTTTATGAGGGAACCAAGNNNNNNNNNNNNNNNNNNNNNNNNNN NNCACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTCTCCTCTATCATGGGCTCATGGGTGCGAGAGTGTGAGNNN NNNNGTTCAGAAGCTAACACAACATAATGTTCCTCCCTCTTCCACTTAACAATGTGTGAG ACAAGTGAGAGTGCCTCGCAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTGGAAGCTAAATCACTCATAAATGGCAGTATATGTTTC TCAAATAGAGACGGATACAAACGTCTCAAAGAATGAATAATGTGGCTCATGCCAACCCTG TCTTCTAGCAGTTTCGAAACAGTAGGTCTCAAGGGGAAGTAATCACAAGGATTATGTTTA AAAAAGTCCAAGATCTGAGCTTGTTTTGGTTCCCCGAGCACCCATGCTCCAAGTTCTATA GCTGTAGATAGTGTTATGCACATATAATCCCATAGAAGGGGTCTTAAATAAGCGACAACA GTATCACCTCCACCTTTGGCTTCTGGTGAAACCTTCCATATCTGGATTCCATTGTCCCCC ATCACCACCTCAACACCTTGAGTCCCTAGTAACTGAGTCTGTATGGATCTAATGTAAAGA TTCTCCTTGTTAGGCCCTCTGACGCACTTGCTACCTAGTGTTCTGCACAATCCTACAAAC CCAGATGCTATGGAGCTCTGGAAAGCTGACTTGTTTATTGCTTCGGACAGTAGCTTTTGA GCTCCTCTAGTGAATGTTGATGACAACCTATTTTGCAAGGTTTTCACTATTGTAGGGNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTGCCTCATTATCCTA TAACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNAATTTATTTAGCNGGTCACTCATGTAATAATGGAATTCT AACAATGTTTTGAATTCCTCTGTATCTCTTGAGAGTAACTCTGTTAAGTTCTGATCAAAT AACGATATCTGATCGTCACTGGACGTGTAAGCATCGATTTGTCCTCCAGACACACACCTC ACCGCAAANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNTAGGATTGAGCTAATGTGTGAGGGGACTGTGCCAGTTTGAAAG TTGGAATTGAAAAAGTCTTCAGTCATTGACTGAGTTGTCTTCTTCTTCAGTCCAAGTTGG GATTTGATATATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCNNNNNN NNNNNNNNNNNTGTCAATAATGTTGATAAGTAATCTTTNCCTTTTAAATCAGCTTGTAAA TCATCAGAAAGTAAGATTAGGTTTTGAATTATTGTTAAAAACAAGAAAGGACNCATNNNN NNNNNNCACTTACTGTGATCCATACTATATGATACGTGTGCCGATGAAACATTCAGCTTC ATTGACAAAATGGCATTGTCAAACTCCTTCTCGTTGTTCAGACAGCTGCCTGCTAATTGT GATGTGANNNNNNNNNNNNNATCCTCAATGAGCCTTGTGAACATCTTTGTCCTTAAATCT CCAATGTACAACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTAAAAATACTTA CTTCTCAAAGCAGCATCATTGTAGATATTCTCACAAATTTTGATGTACTGATCCTCNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNATCTAGATCAGCA TTGTTGGTGTCACCACTCCCTCCTTTGGACCCCAGAACAAGATTACTCATTGCTTGCTGT ATCTTGTAATCATAATCCTGTTTATTAAGCAAGAATTTGCCTTTACGTGCAAATACTTCA GTTAACTGTGTGACAGCCAAAGCTGTGAGCTTGTTGAAGTCATAATCCAGAATGCGAGAC CCATCTGTATATTTATTCACAACAACACTCTTATTACTGGCCNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGT TTGATAGTGATCAATTGTTCAGATAACTCTGTGCACTCTTCTATCCAGCTGACCATAACA TCGACTACTTTCTGTAATACATCACTGGAGAAAATTGAAGGAAAAAATCGTTTAGGGTCA GCATAAAAGGAACAAACCTCTCCAACCACATTGTTGTTAATAGCATAACACTTTGAGCAC TCTCCTGTCTTTTGATATAATAGTTTGAACCCCATCCTGTTGATAAAGAACTCTTGGCAA TAGGCCTCTTTGCACCTCACAACTTGGTATCTAGNNNNNNNNNNNNNNNNNNNNNNTAGT TTCACTGTGGAAGACGTTTTCATTGAGTTGATCAAAGCTAAACTCAGTGATGATAATCTT TCTAAGTCTGTTGCATCTAGAATGTCAATGATGCCAAGAGTATAAGGGAACATGTCTTCC TGAGTTTTCTGATAACTTATAGTGGGTGTGATACCGGAGGTCTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGGATCTTGAAATCAATTCCATAAGAGCTGGTTTCTATGCCA ACCTCCCTCAAAGCACTAGTGGCTCGGGTTAAAACTCNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCTCCTGGTG TTGAGGATCCTCAGAGACTTTATCTTATTTAGAAAGGATCTCCAACATTGCATCTGTTCA CTTTGAGAGTCAGCAGCCCTTTCCTCACCAGAATCCAAATCTGCATACAGGAACTTAAGG ACTGGAGAGGCTCTTCGGAACTGGAATGTTAACTGTTCAATGTNNNNNNNNNNNNNNNNN NNNNNNNNNCTATATAGCTTTCTGAAATCCTCTAATAACTTCATCTTATCTGTTTTGACA AATTGACTTTCTATATCCCCTTGCCTTAGTTTGTTTCTGAAGATTTGATACTCCTCTTCA ATCATACTCTTGACTTCATGAGTGGTGAGCTTATTATTAATGCCCTGATGACAACTAGAA ATTATTTCCTCAAAGTGTTTTNCACGCTTGTCAGTTAGAACATTGANNNNNNNNNNTCCT GAGAGCCTCCCAGACGTTAAGGCTAAAGATTCACAGAGTCTTGAATACTCAGACTCTTCG AACAATGCATTACTTTCTTGTGAATACTTTAATAGGGTGAATAAGGNNNNNNNNNNNNNN TCATTCACCCAATCAGGTATTTGCTCATTGTAAAATGTTGTTCTGCCGTCTATGAGAGGG ATGAGATTGATGCNNNNNNNNNNNNNNNNNTTCTTTAATTGTTCTAGTTTCTTGTGATCT TCTAAATACTTTTGTTCAAAATTAGCGGGGGACGATCTAACAAAGCACTCAAGTAAGATT AGAACATTACCGGTAAGTTTATAGCCGTCAGGCACCACAAAGCATAAAGCTGGAGTGAGT ATCCCATGATCATTCAGAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACATCCA TTAGCCTTGCAAGAATCAATCTCAATGCAAAGAGACAGTAGTTTCAACCCCTCCATGAGC AACATTCTAGGTTCAGTTTGGACCAGAAAGGCTAGCTTCTGTCTTGACAGCCTCTCATTG TCTGCAAGGTACTTTGAGACAAGATCTTTAGCATTGGCAATGTCTTCCTCCATCGCCAAT TGTGGCACCTATGTTGGGTTCGGG------------------------------------ ---------------------------------------------- >LASV_NGA_2018_1392-1 ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ --------------CTGAATCATAACTCTTTGCTTTGATTTACTATAGCAAAGAGCATAG CCTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATCAGCATAA TCCACAGGTCTCTGTTTTGTGAGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNCTTACAAACATTTCTAAATCTTGATCTTGGATAGATGGTGTAAATGTA GCTACCCTTCTANNNNNNNNNNNNNATGCTCCCCTACACACAACCAATGGCACTGGTTCA TTGTCAGGTCCGACCTTGGAGAAGTCAAATTCATTGAACTGCAGTTTATCTGGATTGATA ATCAGCNNNNNGGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNCAACAAACCAGGCTGACCTACCTTTGAAGGTTGGACCCGACANNNNNNNN NNCCAACAGTCAGACAGAACACATGGGCTCACAGACCCAGAATATAGTGCCNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCAGACCTTCA CCCTCTGGGATTGAGGTTTTATGAGGAAACCAAGTGAATGACCCAAGTGTCCTTGTTGTT GCTACAAAAGAGCGGACATATGATTCAAAGTAGATTTGTCTCATAAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTTTCTTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTC CTCAGTTCAGAAGCCAATACAACATAATGTTCCTCCCNNNNNNACTTAACANNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNCTTTGTGGAGGCTAAGTCACTCATAAATGGCAATATGTGCTTT TCAAATAGGGACGGATATAAACGTCTCAAAGAANNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN 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GGACCCCACTTACTGTGATCCATACTATATGATACATGTGCCGATGAGACATTCAGCTTC ATTGACAAAATGGCATTGTCAAACTCCTTCTCATTGTTTAGACAGCTGCCTGCTAACTGT GATGTGAGCGCTTCAAAGTAATCCTCAATGAGCCTTGTGAACATCTTTGTCCTCAAATCT CCGATGTACAACTCTCTATTGCCTCCCACTTGTTCCTTGTAAGACAAAGAGAATTTTAGT CTACCAGTGTCAGGGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAATTTA AAGTTCAGACACTTACTCTTATAATGAGAGTACCTTCCCATCAATTTATTCCCATTCATC ACCAACAAAATTGACTTAAAGCACTGGAAATATTCTTGNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNGGATGTGTCAGTATCAAAACTAAAATCATTTTGGTTAACAAN NNNNNNGTGATCAATNNNNNNNNNNNNNNNNNNNNNNCTTCTATCCAACTGACCATAACN NNNNNNNNNNNCTGCAAAACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTGGGATCA GCATAAAAGGAACAGACCTCTCCAATTTCATTGTTGTTGATAGCATAGCACTTTGAGCAT TCACCTGTCTTTTGATATAATAATTTGAATCCCATCCTATTAATGAAGAACTCTTGGCAG TAGGCCTCTTTGCACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNTCTAGAATGTCAACAGCGCCAAGAGTATAAGGGAACATGTCCTCC TGAGTTTTCTGGTAAGTTATAGTGGGTGTGATGCCGGAGATCTCAATGTCCATAATNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGTTAGAACATTGATGCTCTCAATTCCT GAGAGCCTCCCAGATGTTAAGGCTAATGATTCACAAAGTCTTGAATACTCAGACTCTTCA AACAATGCATTGCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGG ATAAGATTGATGCCAACAGATTCCAAATCATTCTTTAATTGTTCTAGTTTCTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCAGGAGATGATCTANNNAAGCACTCAAGTAAAATA AGTACATTACCAGTGAGTTTGTAGCCGTCAGGCACCACAAAGCATAAAGCTGGAGTGAGA ATCCCATGATCACTCAGAATGGATTCAACCGTTTTGTCCTCAGTGTTATGTTCACATCCA TTGGCCTTACAA------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ---------------------------------------------- >LASV_NGA_2018_1643-1 ------------------------------------------------------------ -----------------TGGGCAACAAACAGGCCAAAACGACAAAAGTCGATGAACATCA AAGAGCTCATATAGTGCCAGATGCATCTCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTG GTTTGAGAACAGAGGGCTGGTAGAGTGCAACAACCACTACCTGTGTCTCAACTGTCTCAG TCTGCTACTCAGCGTCAGCAGTAGGTGTCCGATCTGTAAAATGCCCCTCCCCACCAGGCT AAAGGCAGCAACACAGCCAAGCGCACCCTCAACCGAGGCGACCCAGAACNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NCTTCAATACACCTCTCCGGCCCAAACAACTCTGAACATGTTCTTCCCTTCAGTCTCAAG CTGCCCCCACTTGACTGTATCATAACTTTTTGCTTTGATTTACTATAGCAAAGGGCATAG CCTTTGAAATCAATCCATTCCCCAAGAGATTCAAGAAGTTCACTCAGTATATCAGCATGA TCCAAAGGTCTCTGTTTTGTTAAGATTGAGACAATGTCCACACCCGTCCATTGAATTCTT TGTTTCAATCTATCAGACATCATTGATTTCAATGCACCAACTAAAAGATGTGGGAGACTG TCACCAACCTCCCTTACAAACATCTCTAAATCTTGATCTTGGATAGATGGTGAAAATGTG GCTACTCTCCTATCAGATTCCCACAGTGCTCCCCTACATACAACCAATGGCACTGGTTCG TTGTCAGGACCGACCTTGGTGAAGTCAAACTCACTGAACTGCAGTTTATCTGGATTGATA ATCAGCTTCATGGGTATAACATCCCCTAACTGCTGTGTATCCTTTAAGAACTCATTTACT ACACCTGATTCAACAAACCAGGCTGACCTACCTTTGAAAGTTGGACCCGACAAAGCAAGT CTCCAACAGTCAGACAGAACACATGGGCTCACAGACCCAGAATATAGTGCCTGTACATCA TTCACTACAAATTCACCACATTGGTTAACAAGCCCTGTCATATTGAGATGGATAGAAAAA GTCTCTTTAAAGCTAGCATCCTGACTCTTGATTTTATACCTGATTGTCTGGTAAAACTGA ACAGAGTCCATTGGCATTGTACTCAACAAATCAAAGAAATCTTCAAGAGAGTCCAACCTT AATTCCTCTGTCAGACCTGAGGCAATAAGCTGGTTCAAATTTATCTGGGCTGGTTCTATG TCAAAGTCTATCCATGCATAGCCCATCATTAAATCAAACTTAAACATAGGTCTCTCTATC CCTTTGTAAATGGCCTTTTCAATAAATGAGGAGAAGGGACCTAGTCGCTGCAGACCTTCA CCCTCTGGTATTGAGGTTTTGTGAGGGAACCAAGTGAAAGACCCAAGTGTCCTTGTTGTT GCTACAAAAGAACGGACATATGATTCAAAGTAGATTTGTCTCATGAAGTTATCCACTGCA TCAGCAGTACTAACCACCCTTTCTTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTT CTCAGCTCAGAAGCCAACACAACATAATGTTCCTCCCTCTTCCACTTGACAATATGTGAA ACAAGTGAGAGTGCCTCGCAATTCACATCTAGGGCAACACAAAGATCAAGGAACTTTATT CTAGGTGACCATTTCATCTTTGTAGAAGCTAAATCACTCATAAACGGCAGTATGTGCTTC TCAAATAGAGACGGATATAAACGTCTCAAAGAATGAATGATGTGGCTCATGCCAACCCTG TCCTCTAGCAGTTTCGAAACAGTGGGTCTTAAGGGGAAGTAATCACAAGGATTGTGTTTA AAAAAGTCCAAGATCTGGGCTTGTTTTGGTTCCCCGAGTACCCATGCCCCAAGTTCTATA GCTGTAGATAGTGTTATGCACATATAATCCCATAGAAGAGGTCTTAAATAAGCAACAACA GCATCACCTCCATCTTTGACTTCTGGTGAGACTTTCCATATCTGGATTCCATTGTCCCCC ATCACTACTTCAACACCTTGAGTCCCCAACAGCTGAGTCTGTATGGATCTAATGTAAAGA TTCTCTTTATTAGGCCCTCTGACGCACTTGCTACCTAGTGTTCTGCACAACCCTACAAAC CCAGATGCTATAGAACTTTGGAAAGCCGATTTATTTATTGCTTCAGACAGCAGCTTCTGA GCTCCTCTAGTGAATGTCGATGACAACCTATTTTGCAGGGTCTTTACTATTGTAGGGACC TTTTCATCTTCCAAATTCACAGCACCAGAATAAATTATCTTTTGCCGCAACACCATTCTA AGCGGGTGATGGGTGGCTAAGTTTAACCAATGATACCCCAAATCAGAATCAGACAAAGGT TCAATGCCTAGAAGCTTAAACAAATTCTGTAATGATGTTGTGTGTTCACCTGATAGGTAG TTGGTGGTGAATTCCTCATGAAGCTCACCAGTTTTTAATTTATTAAACAATATCCTAAGC ATTGACCTCATTTTTTTGCATGCATCAGGAATTAGCCTCTCAATTTGCCTCATTATCCTA TAGCTACGATTCCCGTCCACCCAATCCCTTACATCAGTCTCGCAATTCAAAAGGAATGGA TCAATAGGATACTTAGCATAACATAACAAATTTAAAGTCCTCTTTTGAATTTGATTACAC AGATCAACTGGGACACCATTGGCCACAGATTGATCAATTATGGTATCAATTGTTTCTGCC AATTGATGGGGTTCCTTGCACTTTATGTTATGTAAAGCCGCAGCAACAAATTTTGTTAAC AGAGGTACCTCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAATCTGCCA ATTGCACTCTTTGGACTCACAAATTTATTTAGCTGATCACTCATGTAGTAGTGGAATTCT AACAGTGTTTTGAATTCCTCTGTATCTCTTGAGAGTAACTCTGTTAAGTTCTGATCAAAC AATGATATCTGATCGTCACTGGACGTGTAAGCATCGATCTGTCCTCCAGACACACACCTC ACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAAGTGTTGTGCAGA ATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGGACTGTGCCAATTTGAAAG TTGGAATTGAAAAAGTCTTCAGTCACTGATTGAGTTGTCTTCTTCTTCAATCCAAGTTGG GATTTGATGTATGATTTCATCATTGCTGACACAACATTAAATGGGATCTCAACCATTTTG TGCATATGCCACGTTAATAATGTTGACAGGTAATCTTTACCTTTCAAATCAGCTTGTAAA TCATCAGAAAGTAAGATTAGGTTTTGAATTATTGTTAGAAACAAGAAAGGACACATCATG GGGCCCCACTTACTGTGATCCATACTATATGATACATGTGCCGATGAGACATTCAGCTTC ATTGACAAAATGGCATTATCAAACTCCTTCTCATTGTTTAGACAGCTGCCTGCTAACTGT GATGTAAGTGCTTCAAAGTAATCTTCAATAAGCCTTGTGAACATCTTTGTCCTCAAATCT CCGATGTACAACTCTCTATTACCTCCCACTTGTTCCTTGTAAGACAAAGAAAATTTCAAT CTGCCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCCTGACTGTAAAAACAC AGGTTTTTTAACATTGCTGTAGTACAGTTAGTTAGGGATAAGGCCTTGCTAAGTGCTTCA GAATTACTCTCACGTTCACTTATTCTGACATCCTCAGCTAATCTTCCTGTGTCAAATTTA AAGTTCAGACACTTACTCTTATAATGAGAGTATCTTCCCATTAGCTTATTTCCATTCATC ACCAATAGGATTGACTTAAAGCACTGAAAATATTCCTGGTCCAAAAAAGTCCTGGTTACT ACTGCCTTTGTCAGTTCACTAATAGGACATGAGTTCATTGGCCCTTCATAAAAATATTTA CTTCTCAAAGCAGCATCATTGTAGATGTTCTCACAAATTTTGATGTATTGATCTTCAGAC AGGATTTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATCAACCTT ATTAAAAGTTTTTCTTCCACCACCTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCT GCCTGCTGCTGTCTTTCTGGTTGCTCCTTATACTGACTGACAATATTGTCAACAGTACAC CTCAGTTGGTCGAAGTATTCTGATGCTCCTCCATCCAGTAGTATCTCATCTAGATCAGCA TTGTTGGTGTCACCACCCCCTCCTTTGGACCCCAGAACAAGATTACTCATTGCTTGCTGT ATCTTGTAATCATAATCCTGTTTATTAAGCAAGAATTTACCCTTACGTGCAAACACCTCA GTCAACTGTGTGACAGCCAAAGCTGTAAGCTTATTGAAGTCATAATCCAGAATGCGAGAC CCATCTGTATATTTATTCACAACAACACTCTTATTGCTGGCTAAGTCCAAAGCTGTTGCA CAGCCACTTGTGATAAGAGGGTCTCGCAGTGTCCTCTTTACTTCCTTTTCTTTAAATAGT GAACCATTATTGAAACTAGACACAAGGAGTGAGATAAATTTTTTGGAAACACCAGGCTTT TTATACCTAATTTTTTCTGCGTCTGCACAACATTCTTTACTTAAAAACCTTCTTGCATTA TAAACCATTTCAGCAAGCTCTTCCTCCGATGCATCATCCTTCGGGTTCACACTCACATGT CCGAATTCCAATTTGGGTTCAAGGAATTTTTCAAAGCATTTGATCTGATCAGTCAGTCTG TCAGGTGTTTCTTTTGTAATGAAATGGCACATATAAGAGACATTTAAAACAAACTTGAAT CTATTGGTCATCATACTGACAACTTCTTCAGACAGAATTATTTTTAATAAATGACGAACA AGTCTGTAGAGCAGATATTCAACTTCTGTGATCAGATCCTCCTTAATTTTCTCAATCAAA TCTTTGTGATAAAAATCGGATACAAAGGCCATCACAAAATACCTAATGTTTTGTAAAAAC TTTTGACACCTTTTACTAGGATGTGTCAATATCAAAACTAAAATCATTTTGGTTAACAAT TTAATAGTGATCAATTGTTCAGACAACTCTGTGCATTCTTCTATCCAGCTGACCATAACA TCGACCACCTTCTGCAACACATCACTAGAGAAAACTGAAGGAAAGAACCGTTTAGGATCA GCATAAAAGGAACAAACCTCTCCAACTACATTGTTGTTGATGGCATAACACTTTGAGCAT TCACCTGTCTTTTGGTATAATAGTTTGAATCCCATCCTATTAATGAAGAACTCTTGGCAA TAGGCTTCTTTGCACCTTACAACCTGATATCTAGAGGGTCCAAATTCATTTTGCCTTAGT TTCACTGTGGAAGATGTCTTCATTGAGTTGATCAAAGCCAAGCTCAATGATGATAGTCTT TCTAAGTCTGTTGCATCTAGAATGTCAATGACGCCAAGAGTGTAAGGGAACATGTCTTCC TGAATTTTCTGGTAACTTATAGTGGGTGTGATACCGGAAATCTCAATGTCCATGATGGCA TCATAAACATCACAATCAAGAATCTTAAAATCAATTCCATAAGAGTTAGTTTCTATGCCA ACCTCCCTCAAAGCATTAGTGGCTCGAGTTAGTACTCTGTTGATGATAGCAAGGAGCTCA CAATTCCGTTCTTCTTTGGGTGATAGGACACCTGCATTTTTGTCCCTAGTTCTCTTTCTG CTGTCTATCCACCGTTTTAAATCTCTTTTTGTTGATTCCAATGAAACTAATCTATCGTTG ACACTCACAAAACAAGAGCCCAGCCAACCAGCAAGGAGCCCGTCATCATGCTTTATGCGG TCCAACCGGCTAGCAAGAAGAATGAGAACATCAAAAATAAGGAGAAGTTTCCTCCTGGTG TTAAGGATCCTTAGAGACTTTATCTTATTCAGAAAAGATCTCCAACATTGCATCTGTCCA CTTTGAGAGTCAGCAGCCCTTTCTTCACCAGAATCCAAGTCTGCATACAAGAACTTAAGA ACTGGAGAGGCTCTTCGGAACTGGAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCT ATTTTATCACTATACAGCTTTTTGAAATCCTCCAATAACTTCACCTTATCAGTCTTAACA AATTGATTTTCTATGTCCCCTTGCCTTAGTTTGTTCCTGAAGATTTGATATTCCTCCTCA ATTAAACTCTTGACTTCATGAGAGGTAAGCTTGTTATTAATGCCCTGATGACAACTAGAA ATTATTTCCTCAAAGTGTTTTGCACGCTTATCAGTTAGAACATTGATGCTTTCGATTCCT GAGAGCCTACCAGACGTTAAGGCTAAAGACTCACAAAGTCTTGAATACTCAGACTCTTCA AACAATGCATTACTTTCTTGTGAATATTTTAACAGGGTGAACAAGGTGTCCCTGAGTTTG TCATTTACCCAATCAGGTATTTGTTCATTATAAAATGTTGTCCTGCCGTCTATGAGGGGG ATGAGATTGATGCCAACAGACTCCAAATCATTCTTTAATTGTTCTAGTTTCTTGTGATCT TCTAAATACTTCTGTTCAAAATTGGCGGGGGATGATCTAACAAAGCACTCAAGTAAGATT AGAACATTACCAGTGAGTTTGTAGCCGTCAGGTACTACAAAGCATAAAGCTGGAGTGAGA ATCCCATGATCACTCAGAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACACCCA TTAGCCTTACAAGAATCAATCTCAATACAGAGAGACAATAGCTTCAATCCCTCCATGAGC AACATTCTAGGTTCAGTTTGGACCAGAAAAGCTAACTTCTGTCTTGATAGCTTCTCATTA TCTGCAAGGTATTTTGAGATAAGATCTTTAGCATTGGCAATGTCTTCCTCCATCGCCAAT TATGGCACCTG------------------------------------------------- ---------------------------------------------- ================================================ FILE: tests/input/TestFeatureTransfer/lasv/input/align_mafft-ref-lasv-ISTH2376_2.fasta ================================================ >KM821998.1 Lassa virus strain ISTH2376-NIG-2012 segment S glycoprotein precursor (GPC) and nucleoprotein (NP) genes, complete cds CCTAGGCATTTAGGATTGCGCTTTTAGAGATCTTTGTGTGAGTGAGCTTCATCAAGCCAT GGGGCAAATTATAACATTTTTCCAAGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTCAGCCTTCTGGCAATTCTGAAAGGGATCTACAATGTTGCTACATG TGGCCTTTTTGGACTGGTGTCTTTTCTCCTCTTATGTGGAAGATCATGCTCAACAACTTA CAAGGGTGTTTATGAGCTACAGACTCTAGAGCTAGACATGGCTAGCCTTAACATGACAAT GCCCTTATCTTGCACGAAGAACAACTCCCACCATTACATCATGGTCGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATTATCAACCACAAGTTTTGCAACCTCTCTGA TGCACATAAGAAGAATCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTCCACTT ATCCATTCCCAACTTTAATCAATATGAAGCGATGAGCTGTGACTTCAATGGGGGGAAGAT AAGTGTGCAGTACAACCTCAGCCACACTTACGCTGTGGATGCGGCTAACCACTGTGGGAC CATTGCCAATGGCGTTCTTCAGACTTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAAGGGGAATTGGGATTGCATAATGACTTCCTACCAATATTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGTCCATCCCCCATCGGTTATCT GGGGCTACTGTCACAAAGGACCAGGGACATTTATATCAGTCGAAGACTTCTTGGGACTTT CACTTGGACTCTCTCTGATTCCGAAGGTAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGCTGATTGAGGCCGAGTTGAAGTGCTTTGGGAACACAGCAGTTGCAAAATGTAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGC TATAAGTAGGCTGAAGACAGAAGCACAGATGAGTATCCAACTGATAAACAAAGCAGTAAA TGCACTGATCAATGACCAGCTGATTATGAAGAATCATTTGAGAGATATCATGGGAATTCC TTATTGCAATTACAGCAAATATTGGTATCTAAATCACACTGTAACAGGGAAGACATCGTT GCCAAGATGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAAACACATTTTTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAAATGTTGCAAAAGGAGTACATAGATAG GCAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGTTTTTACCT TATTAGCATCTTCCTCCACCTGGTTAAAATCCCAACCCACAGACACATCACAGGGAAACC CTGCCCCAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTATACAAACA TCCTGGTGTGCCAGTCAAGTGGAAAAGATAGAAGATAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCC CCTGACACAGCTGCATCATACATTATGCAGTCCATCAAAGCACAGTGCGGGGTAATTTCT TCTTTACCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTATGCATATGGCACAGATCC CTGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTACTCAGTGCAATG TCAATAAGCTTTATGTCCCTCCTTCCCTGAGAGTCCAAGAGTCTCTTAATATCATCTGAA CCTTGACAGGTCAGTACCATGTTGCGAGGAAGGGCTTCAATAACTGCACTGGTCAGGCCA GGTTGAGCAGGGAAAAGATCTGCCACATCAATCCCGTGAGAATACTTGGCATCTTGCTTG AACTGTTTTAAATCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGACATGGGTTGG TAAAGAGCTATTTCCACAGGATCTTCTGGACGACCTTCAATGTCTATCCATGTTTTGGCA CTTGGGTCAAGTTGCATCATTGAGTCCTTAAGTGTCATCAACTGAGAATAGGTCAGCCCC GTTGGAAACCCCGCTGACTGTAAAGACTTGTTGGACCCAGCAGCACCCACTTTTTGTGGT TTTCCATCTGACTCGAGATCCACAGTAGTATTCTCCCAAGCTCTACCCGCAATAGAAGTC CTTGAAGCTATGTAAGGCCAGCCGTCACCGGAAAGACAGATCTTATAAAGTATGTTCTCG TAAGGGTTCCTCTCACCAGGTGTGTCTGAAACAAACATTCCCAAGGATCTTTTTACCTTT AAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCTCCTAAACTGAAGTTATAA CCAGAAATGTTCAAGGAGCTCTTCTTGGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAGAGTCTGTCCAGGTCGGAGCTATTTGGATACTTAGCTGTGTATATTAGACCCAGGTCT GTCAGTGCTAAGACGGCATCATTCAAATCAACTTGACCTTGTTTGGTGAGACATGCTAAT GTCAGACTAGGCATGGTGCCGAACTGGTTGTTCAGAAGATCCGGGTTCTTAACATCCCAC ACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAATGCTCTTCTTTGCTCAAGCTGCTGTGTACTTAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAACGTCAACAGGTCATCTGAGGTCAGGGTCCCAACTCTCAAGATGCTCTTTTGTTGC GTCGATTTGAGTTCTACAAGATTGTTGACAGCCTGATTCAAATCTCTAAGACGTTTCAGA TCACTATCATCCCTTTTTTGTTTGCGCATTAAGCGTTGCACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGTTTTATGCTGGAGCAA TAACCTGAAAGCTCCCTCCTCAATGACTGTGTCCAGAGAAATGACTTCACTTCCTTGGAA GCACTCATCTTAGTCTGGACACCTAGGGATTGACTGGTCAAAAGTTTCACTCAGTAAGTC AATGAAAGGCGCAATCCAGTAGCCTAGGATCCACTG >LASV_NGA_2018_0026-2 ----------------------------------------------TTTCATTAAGCCAT GGGGCAAATCATAACATTTTTCCAGGAAGTGCCTCATGTCATTGAGGAGGTGATGAACAT TGTCTTGATTGCTCTCAGCCTTCTAGCAGTGCTAAAAGGGATTTATAATGTTGCTACTTG TGGCCTCTTTGGGTTGGTGTCCTTTCTTCTCTTATGTGGAAGGTCATGCTCAACAACTTA CAAGGGTGTTTATGAGCTTCAAACTCTGGAGCTGGATATGGCAAGCCTTAACATGACAAT GCCCTTATCCTGCACGAAGAACAACAGCCACCACTACATCATGGTTGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAACACAAGTATCATCAACCACAAGTTCTGCAACCTTTCTGA TGCACATAAAAAGAATCTCTATGACCATGCTTTGATGAGCATCATCTCAACCTTCCACCT ATCCATCCCTAATTTTAATCAGTATGAAGCAATGAGTTGTGACTTCAATGGAGGAAAGAT AAGTGTTCAGTATAACCTCAGCCATGCTTATGCTGTGGATGCAGCCAACCATTGTGGGAC CATTGCCAATGGTGTCCTTCAAACTTTTATGAGGATGGCCTGGGGTGGCAGTTACATAGC ACTTGATTCTGGAAAGGGGAGTTGGGATTGTATAATGACGTCCTACCAATATTTGATAAT CCAAAACACCAGTTGGGAAGATCACTGCCAGTTTTCTCGCCCGTCCCCCATCGGTTATCT GGGGCTACTGTCACAAAGAACCAGGGACATTTACATCAGCCGAAGGCTCCTTGGAACTTT TACCTGGACTCTCTCTGACTCTGAGGGCAATGAAACACCAGGTGGATATTGTTTGACAAG ATGGATGTTGATTGAGGCCGAATTAAAGTGCTTTGGGAACACAGCAGTTGCGAAATGCAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTGAGGCTGTTTGACTTTAACAAACAGGC NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAAATAAAGCAGTGAA CGCATTAATCAATGACCAGCTCATTATGAAGAATCATTTAAGAGATATCATGGGAATTCC TTACTGCAATTACAGCAAGTATTGGTACTTAAACCACACTGTAACAGGGAAGACATCGTT GCCAAGATGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAAACATATTTTTCTGATGA CATTGAGCAACAAGCAGACAACATGATAACAGAATTGTTACAGAAGGAGTACATTGACAG GCAAGGGAGAACACCCTTAGGGTTGGTGGATCTTTTTGTCTTCAGCACTAGCTTCTACCT TATTAGCATCTTCCTCCACCTGGTCAAAATCCCAACCCACAGACATGTCATAGGGAAACC CTGCCCCAAGCCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTGTACAAACA TCCTGGTGTACCAGTCAAGTGGAAAAGATAGGAGACAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GATGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTCAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAATCCATTAGAGCACAGTNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCCCAGTATNNNNNNNNNNNNNNNNN NNNNNNNGATCCCAAACAGCATTCTCAAACCTCCTAGAGTCAGCCCTGCTCAGTGCAATG TCAATAAGTTTTATGTCCCTTCTTCCTTGTGAATCTAAGAGTTTCTTGATATCGTCTGAA CCCTGACAGGTCAGTACCATATTGCGAGGAAGGGCTTCAATGACTGCACTGGTCAAGCCA GGCTGAGCAGGGAAAAGATCTGCCACATCAATCCCATGAGAATATTTGGCATCTTGCTTG AACTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGATATAGGTTGG TAANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGGT TTTCCATCTGACTCGAGATCTACAGTGGTGTTCTCCCAAGCTCTACCCACAATGGAAGTT CTTGAAGCTATGTAGGGCCAACCGTCCCCAGAAAGACAGATCTTGTAAAGTATGTTCTCA TAAGGGTTCCTCTCACCAGGTGCATCTGAAACAAACATTCCCAAAGATCTCTTTACCTTT AAGATAGATTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAGGCTCCAGCTTTCACTGCAGCTCCTAAACTGAAGTTGTAA CCAGAAATATTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATGGCTTTGA GAAAGTCTGTCCAAGTCGGAGCTGTTTGGGTACTTAGCTGTGTATATTAGACCCAGGTCT GTTAGTGCTAAGACGGCATCATTTAGATCAACTTGTCCTTGTTTGGTGAGACATGCTAAT GTCAGACTAGGCATGGTGCCGAATTGGTTGTTCAAAAGATCCGGATTCTTGACATCCCAA ACCCTAACAACTCCGTCCCTTCCAGGTTGGGTACCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAATGCTCTTCTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNGAGTTCCACAAGATTGTTGACAGCTTGGTTCAGATCTCTGAGACGTTTCAGA TCACTGTCGTCCCTTTTTTGTTTGCGCATCAAGCGCTGAACATTGCTGACCTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGCTTTATGCTGGAGCAG AAACCTGAGAGCTCCCTCCTCAATGACTGTGTCCAAAGGAATGATTTTACTTCCTTGGAA GCACTCATCCTGATCTAGACAATCA----------------------------------- ------------------------------------ >LASV_NGA_2018_0097-2 ---AGGCATTTAGGATTGCGCTTTTAGAGATCTTTGTGTGAGTGGGCTTCATCAAGCCAT GGGACAAATCATAACATTTTTCCAGGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTTAGCCTTCTGGCAATATTGAAAGGGATCTACAATGTTGCTACCTG TGGCCTCTTTGGATTGGTGTCCTTTCTCCTCTTGTGCGGAAGATCATGCTCGACAACCTA CAAGGGCGTTTATGAGCTACAAACCCTAGAGCTAGACATGGCTAGCCTTAATATGACAAT GCCTTTATCTTGCACGAAGAACAACAGCCATCATTACATCATGGTCGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATCATCAACCACAAGTTTTGTAACCTTTCTGA TGCACATAAAAAGAATCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTCCACTT ATCCATTCCCAACTTTAATCAGTATGAAGCAATGAGTTGTGACTTCAATGGAGGAAAGAT AAGTGTTCAGTACAACCTCAGCCACACTTATGCTGTAGATGCAGCTAACCACTGTGGAAC CATTGCCAATGGTGTTCTTCAGACTTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAAGGGGAGTTGGGACTGCATAATGACTTCCTACCAATATTTGATAAT CCAAAACACCACTTGGGAAGATCATTGCCAATTTTCTCGCCCATCCCCTATCGGTTATCT GGGGCTACTGTCACAAAGGACCAGGGATATTTACATCAGCCGAAGGCTTCTTGGAACCTT TACTTGGACTCTCTCTGATTCTGAAGGTAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGTTGATTGAGGCCGAGCTGAAATGCTTTGGGAACACAGCAGTTGCGAAGTGCAA TGAGAAACACGATGAGGAGTTTTGTGACATGTTAAGGTTGTTTGACTTTAACAAACAAGC TATAAGGAGGCTGAAGACGGAAGCACAGATGAGCATTCAACTGATAAACAAAGCAGTAAA CGCACTAATCAATGACCAACTGATCATGAAGAATCATTTGAGAGATATCATGGGAATTCC CTACTGCAATTACAGCAAATACTGGTATCTAAATCATACTGTGACAGGGAGGACATCACT GCCAAGATGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAACTGTTGCAAAAGGAGTACATAGAGAG GCAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACTAGCTTTTATCT CATTAGCATCTTCCTCCACCTGATTAAAATCCCAACCCATAGACATGTCATAGGGAAACC CTGCCCTAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTATACAAACA TCCTGGTGTACCAGTTAAGTGGAAAAGATAGAAGACAGACCCACTCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTAAGTCCT CCTGACACAGCTGCATCATACATTATGCAATCCATTAAAGCACAGTGCGGGGTAATTTCT TCTTTGCCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTATGCATATGGCATAGATCT TTGCATTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTGCTCAGTGAAATG TCAATAAGTTTTATGTCTCTTCTCCCTTGGGAGTCTAAGAGTCTCTTAATGTCATCTGAG CCTTGACAGGTCAGTACCATATTGCGAGGGAGAGCTTCTATGACTGCACTAGTCAAACCA GGTTGAGCAGGGAAAAGATCTGCTACATCAATCCCATGAGAATATTTGGCATCCTGCTTG AATTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCTGACATAGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTCTTGGCA CTTGGGTCAAGCTGCATCATTGAGTCTTTGAGTGTCATCAACTGAGAATAGGTCAGCCCT GTTGGGAACCCTGCTGACTGTAAAGACTTGTTGGACCCAGCTGTGCCCACTTTTTGTGGT TTTCCATCTGACTCGAGATCCACAGTGGTATTCTCCCAAGCTCTACCCACAATGGAAGTC CTTGAAGCTATGTAGGGCCAGCCGTCACCAGAAAGACAGATTTTGTAAAGTATGTTCTCA TAAGGGTTCCTCTCACCAGGTGTATCTGAAACAAACATTCCTAAGGATTTTTTCACCTTT AAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTTCCCCCATCAAGCATACAAGCTCCGGCTTTCACTGCAGCTCCTAAGCTGAAGTTGTAA CCAGAAATGTTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAAAGTCTGTCTAGGTCAGAGCTATTTGGGTATTTGGCTGTGTATATCAGACCTAGGTCT GTTAGTGCCAGGACGGCATCATTCAGATCAACTTGACCTTGTTTGGTGAGACATGCTAAT GTCAAACTAGGCATGGTGCCGAACTGGTTGTTCAAAAGATCCGGATTCTTAACATCCCAC ACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGTCCCGCCAACCATGCCTATC ATGTTCAGCAATGCTCTTCTTTGCTCAAGCTGTTGTGTACTCAAATTCCCCATGTAAACA CCTGAGCTCAGTGGCCTTTCTGTCCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAATGTCAGCAGGTCATCTGAAGTCAAGGTCCCAACTCTCAGGATACTCTTCTGTTGT GTTGACTTGAGTTCAACAAGATTGTTGACAGCCTGATTTAGATCTCTGAGACGTTTCAGA TCACTATCATCCCTTTTTTGTTTGCGCATTAAACGCTGCACATTGCTGACTTCAGAAAAA TCAAGACCATGAAGGAGAGCCTGAGCATCTTTAACAACCTGAAGCTTTATACTGGAACAA TAACCTGAAAGTTCCCTCCTTAATGATTGTGTCCAGAGAAATGACTTCACTTCCTTGGAA GCACTCATCTTGGTCTGGACACCTAGAGATTTACTGGTTGAAAGTATTACAAAGTAAGTC AATGAAAAGCGCAATCCAATAGCCTAGGATCCA--- >LASV_NGA_2018_0541-2 ------------------------------------------------------------ -GGACAAATCATAACATTCTTCCAGGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTCAGCCTTCTGGCAATACTGAAAGGGATCTACAATGTTGCTACCTG TGGCCTCTTTGGATTGGTGTCCTTTCTCCTCTTATGTGGTAGATCATGCTCAACAACTTA CAAGGGTGTTTATGAGTTACAAACTCTAGAGCTAGACATGGCAAGCCTTAATATGACAAT GCCCTTGTCTTGCACGAAGAACAACTCCCACCATTACATCATGGTTGGAAATGAGACTGG CCTGGAGCTGACTCTAACAAATACAAGCATTATCAACCACAAGTTTTGTAACCTTTCTGA TGCACATAAAAAGAATCTCTACGACCATGCTCTAATGAGTATCATCTCAACCTTCCACTT ATCCATTCCCAACTTTAATCAATATGAAGCGATGAGTTGTGACTTCAATGGGGGTAAGAT AAGTGTCCAGTACAACCTTAGCCACACTTATGCTGTCGATGCAGCTAACCACTGTGGGAC CATTGCCAATGGCGTTCTTCAGACTTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAAGGGGAGCTGGGATTGCATAATGACTTCCTATCAATACTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGCCCGTCCCCCATCGGTTATCT GGGGCTGCTGTCACAAAGGACCAGGGACATTTACATCAGTCGGAGACTTCTTGGGACTTT TACTTGGACTCTCTCTGACTCTGAAGGCAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGCTGATTGAGGCCGAGTTGAAGTGCTTTGGGAACACAGCAGTTGCAAAATGCAA TGAAAAACATGATGAAGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGC CATAAGGAGGTTGAAGACAGAAGCACAGATGAGTATTCAACTGATAAACAAAGCAGTGAA CGCACTGATCAATGACCAGCTAATTATGAAGAATCATTTGAGAGACATCATGGGAATTCC TTACTGCAATTACAGCAAGTATTGGTACCTGAATCACACTGTAACAGGGAAGACATCGTT GCCAAGATGCTGGCTTGTGTCAAATGGTTCCTACTTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAACTGTTGCAAAAGGAGTACATAGAAAG ACAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT TATTAGCATCTTCCTCCACCTGGTTAAAATCCCAACCCACAGACATATCACAGGAAAACC CTGCCCTAAACCACACAGACTCAACCATATGGGCATATGCTCATGTGGTCTGTACAAACA TCCTGGTGTGCCAGTCAAGTGGAAAAGATAGAAGACAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGCCCT CCTGACACAGCTGCATCATACATTATGCAGTCCATTAAAGCACAGTGCGGGGTAATTTCC TCCTTGCCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTGTGCATATGGCATAGATCT TTGCACTGATCCCAAACAGCATTCTCAAATCTCCTAGAGTCAGCCTTGCTCAGTGCAATG TCAATAAGCTTTATGTCCCTTCTTCCTTGGGAGTCCAAGAGTCTCTTAATATCATCTGAA CCTTGACAGGTCAGCACCATATTGCGAGGGAGGGCTTCAATGACTGCACTGGTCAAACCA GGTTGAGCAGGGAAGAGATCTGCCACATCAATCCCATGAGAAAATTTGGCATCTTGCTTG AACTGTTTCAAATCTGTTGGTTCTCTGAAGAAATGTATGTAACAGCCCGACATAGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTCTTGGCA CTTGGGTCAAGCTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAGGTCAGCCCT GTTGGAAACCCTGCTGACTGTAAAGACTTGTTGGACCCGGCAACACCTACTTTTTGTGGT TTCCCATCTGACTCGAGATCCACCGTAGTGTTCTCCCAAGCTCTACCCACAATAGAAGTC CTTGAAGCTATGTAAGGCCAGCCGTCACCGGAAAGGCAGATCTTGTAAAGTATGTTCTCG TAAGGGTTCCTCTCACCAGGTGTATCTGAAACAAACATTCCCAAAGATCTCTTCACCTTT AAAATAGACTTCAAGATACCATCCATTGTCTGGGGTGTAACCTTTATGGTCTCCAACATG TTCCCCCCATCAAGCATACAGGCTCCAGCTTTCACTGCAGCACCTAAGCTGAAATTATAA CCAGAAATGTTCAAAGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAAAGTCTGTCCAGGTCGGAGCTATTTGGGTACTTAGCTGTGTATATTAGACCCAGGTCT GTTAGTGCTAAGACAGCATCATTCAAATCAACTTGACCTTGTTTGGTGAGACATGCTAAT GTCAGACTAGGCATAGTGCCAAACTGATTGTTCAAAAGATCCGGGTTCTTGACGTCCCAT ACCCTAACAACCCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAGTGCTCTTCTTTGCTCAAGTTGCTGTGTGCTCAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAATGTCAGCAAGTCATCTGAGGTTAAAGTCCCAACTCTCAAGATGCTCTTTTGTTGT GTCGATTTGAGTTCTACAAGATTGTTGACAGCCTGATTTAAATCTCTGAGACGTTTCAGG TCACTATCATCCCTCTTTTGTTTGCGCATTAAGCGTTGCACATTACTGACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGTTTTATGCTGGAGCAA TAACCTGAAAGCTCCCTCCTCAATGACTGTGTCCAGAGAAATGACTTCACTTCCTTAGAA GCACTCATCTTGGTCTGGACACTTAGGGATTTACTG------------------------ ------------------------------------ >LASV_NGA_2018_0611-2 -------ATTTAGGATTGCGCTTTAAGAGATCTTTGTGTGACTGAGCTTCATCAAGCCAT GGGACAAATAATAACATTCTTTCAGGAAGTTCCTCATGTCATAGAAGAGGTGATGAATAT TGTCCTGATTGCTCTCAGCCTCCTGGCGATACTGAAGGGGATTTACAATATTGCCACTTG TGGTCTTTTTGGGCTGATCTCCTTTCTTCTTTTGTGTGGAAGATCATGCTCAACAACCTA CAAAGGTGTCTATGAGCTACAAACCCTGGAACTGGATATGGCAAACCTCAACATGACCAT GCCTCTATCTTGTACAAAAAACAACAGCCATCATTATATTATGGTTGGGAATGAGACGGG CCTAGAACTGACCTTGACAAACACAAGCATAATCAACCACAAGTTCTGCAACCTTTCTGA TGCACACAAAAGGAATCTTTATGATCATGCCTTGATGAGCATCATTTCAACTTTCCACTT ATCCATTCCGAACTTCAATCAGTATGAAGCAATGAGTTGTGACTTTAATGGAGGGAAAAT AAGTGTGCAATACAATCTCAGTCATAGTTATGCTATAGATGCAGCCGGCCACTGTGGGAC CATTGCCAACGGTGTCCTACAGACTTTCATGAGAATGGCTTGGGGCGGCAGTTACATAGC GCTTGATTCTGGGAAAGGGAACTGGGATTGCATAATGACTTCCTATCAGTACTTGATTAT TCAAAACACCACCTGGGAAGATCACTGTCAATTTTCCCGCCCATCCCCTATTGGATACCT AGGACTGCTGTCACAAAGAACTAGAGATATTTACATTAGTCGGAGACTTCTTGGAACTTT CACCTGGACTCTCTCTGACTCTGAGGGCAATGAAGCACCAGGTGGATACTGCCTTACTAG GTGGATGCTAATTGAAGCTGAATTGAAGTGCTTTGGGAACACAGCCATTGCAAAGTGCAA TGAGAAGCACGATGAGGAATTCTGTGATATGTTGAGACTTTTTGACTTCAACAAACAAGC CATAAGTAGGCTAAAAGCAGAAGCACAGATGAGCATCCAGTTGATAAATAAAGCAGTAAA TGCACTAATCAATGACCAGTTGATCATGAAGAACCACTTGAGGGATATCATGGGAATTCC TTATTGCAATTACAGCAAGTACTGGTATCTAAACCACACTGTGACAGGGAAGACATCATT GCCAAAGTGTTGGCTTGTTTCAAATGGTTCTTACCTAAATGAGACACATTTCTCCGATGA TATCGAACAGCAAGCAGATAACATGATAACAGAACTGTTGCAAAAGGAGTATATGGACAG GCAGGGGAAAACACCCTTAGGGTTGGTGGATCTTTTTGTTTTTAGCACTAGCTTTTATCT CATAAGTATTTTCCTCCACCTGGTCAAAATTCCGACCCATAGACACATTGTGGGGAAACC CTGCCCCAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTTNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNGCGTCAAACATTATGCAATCCATTAAAGCACAATGTGGAGTGATCTCC TCTTTACCTCCTCTCTTCTTTTTCTCAACGACCACTCCGGTGTGCATGTGACACAAATCT TTGCACTGATCCCAGACAGCATTTTCAAATCTCCTAGAATCAGCCTTACTTAATGAGATA TCGATGAGCTTGATGTCCCTTCTCCCCTGAGAATCAAAGAGTTTTTTAATGTCGTCTGAA CCTTGACACGTTAACACCATGTTACGGGGGAGAGCCTCAATGACTGCACTGGTTAGACCA GGCTGAGCAGAAAAGAGATCTGTCACATCAATCCCATGAGAATATTTGGCATCTTGTTTG AACTGTTTTAAATCCGTTGGTTCTCTGAAGAAATGTATATAACAGCCTGACATAGGCTGG TAAAGAGCTATCTCAACAGGGTCTTCTGGACGACCCTCAATGTCTATCCAAGTTTTGGCG CTTGGGTCAAGTTGCATCATTGAATCTTTGAGTGTCATCAGTTGGGAATAAGTTAGCCCT GTTGGGAACCCTGCAGATTGCAGAGATTTGTTGGATCCAGCAGTGCCCACTTTCTGTGGT TTCCCATCTGACTCAAGGTCTACAGTGGTATTCTCCCAAGCTCTACCCACAATGGAGGTT CTTGAAGCTATGTAGGGCCAACCGTCCCCAGAGAGACAAATTTTGTAAAGTATGTTTTCA TAGGGGTTTCTTTCACCAGGTGTGTCTGAAACAAACATTCCCAGGGACCTTTTCACCTTT AGAATGGACTTCAGAATGCCATCCATTGTCTGAGGCGTTACCTTGATAGTTTCCAACATG TTACCCCCATCGAGCATGCAAGCTCCAGCCTTCACTGCAGCTCCCAAACTAAAATTGTAG CCAGAAATATTTAGGGAGCTCTTCTTGGTGTCTACCATGTTCAATATAGGATGGCTCTGG GAAAGTCTGTCCAGGTCAGAACTATTGGGGTATTTAGCTGTGTATATTAACCCCAAGTCT GTTAGCGCCAAGACGGCGTCATTTAAATCAACTTGACCCTGTTTAGTGAGACATGCTAGT GTTAAACTAGGCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCACCGACCATGCCTATC ATACTCAACAACGCCTTCCTCTGCTCAAGTTGTTGTGTGCTCAAGTTTCCCATATACACG CCTGAACTTAGTGGCCTCTCTGTCCTAATGACCTTTGACTTCAATTTCTCTAGATCAGCT GCTAAAATCAGCAAGTCGTCTGAGGTCAGTGTTCCAACTCTCAGAACACTCTTTTGTTGT GTTGACTTGAGCTCAACAAGATTGTTAACTGCCTGATTTAGGTCTCTAAGACGTTTTAGG TCACCGTCATCTCTTTTCTGTTTGCGCATCAAGCGCTGGACATTGCTGACCTCAGAGAAG TCGAGGCCATGCAGAAGGGCCTGAGCATCCTTAACCACCTGGAGTTTTATATTAGAGCAG TAGCCTGAAAGCTCTCTCCTCAGTGATTGTGTCCAAAGGAATGATTTCACTTCCTTGGAA GCACTCAT---------------------------------------------------- ------------------------------------ >LASV_NGA_2018_0664-2 ----------------------TTTAGAGATCTTTGTGTGAGTGGGCTTCATCAAGCCAT GGGACAAATCATAACATTTTTCCAGGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTCAGCCTTTTGGCAATACTGAAAGGGATCTACAATGTTGCCACCTG TGGCCTCTTTGGATTGGTGTCCTTTCTCCTCTTGTGTGGAAGATCATGCTCGACAACCTA TAAGGGTGTTTATGAGTTACAAACCCTAGAGCTAGACATGGCAAGCCTTAATATGACAAT GCCTTTATCTTGCACGAAGAACAACAGCCATCATTACATCATGGTCGGGAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATCATCAACCACAAGTTTTGTAACCTTTCTGA TGCACATAAAAAGAATCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTCCACTT ATCCATTCCCAACTTTAATCAGTATGAAGCAATGAGTTGTGACTTCAATGGAGGAAAGAT AAGTGTTCAGTACAACCTTAGCCACACTTATGCTGTGGATGCAGCTAACCACTGTGGAAC CATTGCCAATGGCGTTCTTCAGACTTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAAGGGGAGTTGGGACTGCATAATGACTTCCTACCAATACTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAATTTTCTCGCCCATCCCCTATCGGTTATCT GGGGCTACTGTCACAAAGGACCAGGGATATTTACATCAGCCGAAGGCTTCTTGGAACTTT TACTTGGACTCTCTCTGATTCTGAAGGTAATGAGACACCGGGTGGGTATTGTCTAACAAG ATGGATGTTGATTGAGGCCGAGCTGAAGTGCTTTGGGAACACAGCAGTTGCGAAGTGCAA TGAGAAACACGATGAGGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGC TATAAGGAGGCTGAAGACGGAAGCACAGATGAGTATCCAACTGATAAACAAAGCAGTAAA CGCACTAATCAATGACCAGCTGATCATGAAGAATCATTTGAGAGATATCATGGGAATTCC CTACTGCAATTACAGTAAATACTGGTATCTAAATCATACTGTGACAGGGAGGACATCACT GCCAAGATGCTGGCTTGTGTCAAATGGCTCCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAACTGTTGCAAAAGGAGTACATAGACAG GCAAGGGAAAACACCCTTAGGGTTGGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT CATTAGCATCTTCCTCCACCTGATTAAAATCCCAACCCATAGACATGTCATAGGGAAACC CTGCCCTAAACCACATAGACTCAACCACATGGGAATATGCTCATGTGGTCTGTACAAACA TCCTGGTGTACCAGTTAAATGGAAAAGATAAGAGACAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAATCCATTAAAGCACAGTGCGGGGTAATTTCT TCTTTGCCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTGTGCATATGGCATAGATCT TTGCATTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTGCTCAGTGAAATG TCAATAAGCTTTATGTCTCTTCTTCCTTGGGAGTCTAAGAGTCTCTTAATGTCATCTGAA CCTTGACAGGTCAGTACCATATTGCGAGGGAGGGCTTCAATAACTGCACTAGTCAAACCA GGTTGAGCAGGGAAAAGATCTGCTACATCAATCCCATGAGAATATTTGGCATCCTGCTTG AATTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGACATAGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTCTTGGCA CTTGGGTCAAGCTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAGGTCAGCCCT GTTGGGAACCCTGCTGACTGTAAAGACTTGTTGGACCCAACTGTGCCCACTTTTTGTAGT TTTCCATCTGGCTCGAGATCCACAGTGGTATTCTCCCAAGCTCTACCCACAATGGAAGTC CTTGAAGCTATGTAGGGCCAGCCGTCACCAGAAAGACAGATCTTGTAAAGTATGTTCTCA TAAGGGTTCCTCTCACCAGGTGTATCTGAAACAAACATCCCTAGGGATTTTTTCACCTTT AAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAGGCTCCAGCTTTCACTGCAGCTCCTAAGCTGAAGTTGTAA CCAGAAATGTTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAAAGTCTGTCTAGGTCAGAGCTATTTGGGTACTTAGCTGTGTATATTAGACCCAGGTCT GTTAGTGCCAGGACGGCATCATTTAGATCAACTTGACCTTGTTTGGTGAGACATGCTAGT GTCAAACTAGGCATGGTACCGAACTGATTGTTCAAAAGATCCGGATTCTTAACATCCCAC ACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCTTGAGTCCCGCCAACCATGCCTATC ATGTTCAGCAATGCTCTTCTTTGCTCAAGCTGCTGTGTACTCAAATTCCCCATGTAGACA CCTGAACTCAGTGGCCTTTCTGTCCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAATGTCAGCAGGTCATCTGAAGTCAAGGTCCCAACTCTCAGGATACTTTTTTGTTGT GTTGATTTGAGTTCAACAAGATTGTTGACAGCCTGATTCAGATCTCTGAGACGTTTCAGA TCACTATCATCCCTCTTTTGTTTGCGCATTAAACGCTGCACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGGGCCTGAGCATCTTTAACAACCTGAAGCTTTATACTGGAGCAA TAACCTGAAAGTTCCCTCCTTAATGATTGTGTCCAGAGAAATGACTTCACTTCCTTGGAA GCGCTCATCTTGATCTGAACACCTAGAGATTTACTGGTTGAAAGTATTACACAGTAAG-- ------------------------------------ >LASV_NGA_2018_0959-2 -------ATTTAGGATTGCGCTTTTAGAGATCTTTGTGTGAGTGGGCTTCATCAAGCCAT GGGACAAATCATAACATTTTTCCAGGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTCAGCCTTTTGGCAATACTGAAGGGGATCTACAATGTTGTTACCTG TGGCCTCTTTGGATTGGTGTCCTTCCTCCTCTTATGTGGAAGATCATGTTCAACAACTTA CAAGGGTGTTTATGAGCTACAAACTCTGGAGCTGGACATGGCAAGCCTTAATATGACAAT GCCCTTATCTTGCACGAAGAACAACAGCCACCATTACATCATGGTCGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATCATCAACCATAAATTTTGTAACCTCTCTGA TGCACATAAAAAGAATCTTTATGATCATGCTTTAATGAGTATCATTTCAACCTTCCACTT ATCCATTCCAAACTTTAATCAGTATGAAGCAATGAGCTGTGACTTCAATGGGGGAAAGAT AAGTGTTCAGTACAACCTTAGCCACGCCTATGCTATAGATGCAGCCAACCACTGCGGGAC TATTGCCAATGGCGTTCTTCAAACTTTTATGAGGATGGCTTGGGGTGGCAGCTATATAGC ACTTGATTCCGGAAAGGGGAGTTGGGACTGTATAATGACTTCCTACCAGTATTTGATAAT CCAAAACACCACTTGGGAAGATCATTGTCAGTTTTCTCGCCCATCCCCTATCGGTTACCT AGGGCTACTGTCACAAAGGACCAGGGACATTTACATCAGTCGAAGACTTCTTGGGACTTT TACTTGGACTCTCTCTGATTCTGAAGGTAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGCTGATTGAGGCCGAGTTGAAATGCTTTGGGAACACAGCAGTTGCGAAATGCAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGC TATAAGGAGGCTAAAGACAGAAGCACAGATGAGTATCCAGCTGATAAACAAAGCAGTGAA CGCACTGATCAATGACCAGCTGATTATGAAAAATCATTTGAGAGATATCATGGGGATTCC TTACTGCAATTACAGCAAGTACTGGTATCTAAATCATACTGTAACAGGGAAGACATCGTT GCCAAGGTGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCAGACAATATGATAACAGAACTGCTGCAAAAGGAGTACATAGACAG GCAAGGGAAAACACCTTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT CATTAGCATCTTCCTCCACCTGGTTAAAATCCCAACCCACAGACATGTCATAGGAAAACC CTGCCCTAAACCACACAGACTTAATCACATGGGCATATGTTCATGTGGTCTATACAAACA TCCTGGTGTGCCAGTCAAGTGGAAAAGATAGGAGACAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGACTT GAGGTTCTAAACACCATGTCCCTGGGGAGAACTGCCCTTAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAGTCCATTAAAGCACAGTGCGGGGTGATCTCT TCTTTGCCTCCTCTCTTCTTCTTTTCGACAACCACTCCAGTGTGCATATGGCATAGATCC TTACACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGTCTTGCTCAGTGCAATG TCAATAAGCTTTATATCCTTTCTTCCTTGGGAGTCTAAGAGTCTCTTAATATCATCTGAA CCTTGACAGGTTAGCACCATATTGCGAGGGAGGGCTTCAATGACTGCGCTGGTCAAACCA GGTTGAGCAGGGAAAAGATCTGCCACATCAATCCCATGAGAATATTTGGCATCTTGCTTG AATTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCTGACATAGGTTGG TAGAGGGCTATCTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTCTTGGCA CTTGGGTCAAGCTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAAGTCAGCCCT GTTGGGAACCCCGCTGACTGTAAAGACTTGTTGGACCCAGCAGTGCCTACTTTATGCGGT TTTCCATCTGACTCGAGATCCACAGTGGTATTCTCCCAAGCCCTACCCACAATGGAAGTC CTTGAAGCTATATAGGGCCATCCGTCACCGGAAAGACAGATCTTGTAAAGTATATTCTCA TAAGGGTTCCTCTCACCAGGTGTGTCCGAAACAAACATTCCCAAAGATTTTTTTACCTTT AAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCTAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTTACTGCAGCTCCTAAGCTGAAGTTGAAA CCAGAAATGTTCAAAGAGCTCTTCTTTGTGTCCACCATATTCAGTATAGGATGGCTCTGG GAAAGTCTGTCCAGGTCGGAGCTATTTGGGTACTTGGCTGTGTATATTAGGCCCAGGTCT GTCAGTGCTAAGACGACATCATTCAAATCAACTTGACCTTGTTTGGTGAGACATGCCAAT GTCAGACTAGGCATGGTGCCGAACTGGTTGTTCAGAAGGTCCGGATTCTTAACATCCCAA ACCCTAACAACTCCGTCTCTTCCAGGCTGGGTGCCCTGAGCCCCACCAACCATGCCTATC AAGTTCAGCAATGCCCTTCTCTGCTCAAGCTGCTGTGTACTCAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAGTGTCAGCAGGTCATCTGAGGTCAGGGTCCCAACTCTCAAGATGCTCTTTTGTTGT GTCGATTTAAGTTCTACAAGATTGTTGACAGCCTGATTCAAATCTCTGAGACGCTTCAGA TCACTATCATCCCTCTTTTGTTTGCGCATTAAGCGCTGCACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGTTTTATATTGGAGCAA TAACCTGAAAGCTCCCTCCTCAAAGACTGTGTCCAGAGAAATGACTTCACTTCCTTAGAA GCACTCATCTTGGTCTGGACACTTGGAGACTTACTGGTTGAAAGTATCACTCAGTAAGTC AATGAAAAGCGCAATCCAATAG-------------- >LASV_NGA_2018_0998-2 ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ --------------------------------ACTACATCATGGTTGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAACACAAGTATCATCAACCACAAGTTCTNNNACCTTTCTGA TGCACATAAAAAGNNNNNNNNNGACNNNNNNNNNNNNAGCATCATCTCAACCTTCCACCT ATCCATCCCTAACTTTAATCAGTATGAAGCANNGAGTTGTGACTTCAATGGAGGAAAGAT AAGNGTTCAGTATAACCTCAGCCATGCTTATGCTGTGGATGCAGCTAACCATTGTGGGAC CATTGCCAATGGAGTCCTTCAAACTTTCATGAGGATGGCCTGGGGTGGCAGTTACATNNN NNNNNNNNNNNGAAAGGGGAGTTGGGATTGTATAATGACGTCCTACCAATATTTGATAAT CCAAAACATCAGTTGGGAAGATCACTGCCAGTTTTCTCGCCCATCCCCTATCGGTTATCT GGGGCTACTGTCACAAAGAACCAGGGACATTTACATCAGCCGAAGGCTCCTTGGAACTTT TACTTGGACTCTCTCTGACTCTGAGGGCAATGAAACACCGGGTGGGTATTGTTTAACAAG NNNNNNNNNNNNNNNNNNNNNNNNNNAGTGCTTTGGGAACACAGCAGTTGCGAAATGCAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGGTTGTTTGACTTTAACAAACAGGC TATAAGGAGGCTAAAGACAGAAGCACAGATGAGTATCCAACTAATAAATAAAGCAGTGAA CGCATTGATCAATGACCAGCTCATTATGAAGAATCATTTAAGAGATATCATGGGAATTCC TTACTGCAATTACAGCAAGTATTGGTACTTAAACCACACTGTAACAGGGAAGACATCGTT GCCAAGATGCTGGCTTGTATCAAATGGTTCCTACCTAAATGAAACACATTTTTCTGATGA CATTGAGCAACAAGCAGACAACATGATAACAGAATTGTTACAGAAAGAGTACATTGACAG GCAAGGGAAAACACCCTTAGGGTTGGTGGATCTTTTTGTCTTCAGCACTAGCTTCTACCT TATTAGCATCTTCCTCCACCTAGTCAAAATCCCTACCCACAGACATGTCATAGGGAAGCC CTGCCCCAAGCCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTGTACAAACA TCCTGGTGTACCAGTCAAGTGGAAAAGATAGGAGATAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GATGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTCAAAGTTGGAATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAATCCATTAGAGCACAGTGTGGGGTGATTTCT TCTTTACCTCCTCTTTTCTTCTTTTCAACAACCACCCCAGTGTGCATATGGCATAGATCC TTGCATTGATCCCAGACAGCATTCTCAAACCTCCTAGAGTCAGCCTTGCTCAGTGCAATG TCAATAAGCTTTATGTCCCTTCTTCCTTGTGAATCTAAGAGTTTCTTGATGTCGTCTGAA CCCTGACAGGTCAGTACCATATTGCGAGGAAGGGCTTCAATGACTGCACTGGTCAAGCCA GGTTGAGCAGGGAAAAGATCTGCCACATCAATCCCATGAGAATATTTGGCATCTTGCTTG AACTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAGCAGCCCGACATAGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCTATGTCTATCCAGGTTTTGGCA CTTGGATCAAGCTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAGTAGGTCAACCCT GTTGGAAACCCCGCTGACTGTAAAGACTTGTTGGACCCAGCAGTGCCCATCTTTTGTGGT TTTCCATCTGACTCGAGATCCACAGTGGTGTTCTCCCAAGCTCTACCCACAATGGAAGTT CTTGAAGCTATGTAGGGCCAACCGTCCCCAGAAAGACAGATCTTGTAAAGTATGTTCTCA TAAGGGTTCCTCTCACCAGGTGCATCTGAAACGAACATTCCCAAAGATCTNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNTATTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNATCCCAC ACCCTAACAACTCCGTCCCTTCCAGGTTGGGTGCCCTGAGCCCCGCCAACCATACCTATC ATGTTCAGCAATGCTCTTCTTTGCTCAAGTTG---------------------------- ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------------ >LASV_NGA_2018_1024-2 ----------------------TTTAGAGATCTTTGTGTGAGTGGGCTTAATTAAGCCAT GGGACAAATCATAACATTTTTCCAGGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTTTTGATTGCTCTCAGCCTTCTGGCAATACTGAAAGGGGTCTACAATGTTGCTACCTG TGGCCTCTTTGGATTGGTGTCTTTTCTTCTCTTATGTGGAAGATCATGCTCAACAACTTA CAAGGGCGTTTATGAGTTGCAAACTCTAGAGCTAGACATGGCAAACCTTAACATGACAAT GCCCTTATCTTGCACGAAGAATAACAGCCACCATTACATCAGGGTCGGAAATGAGACTGG TCTGGAGCTGACTTTAACAAACACGAGCATCATCAACCACAAGTTTTGTAACCTTTCTGA TGCACATAAAAATAATCTTTATGACCATGCTTTAATGAGTATCATCTCAACTTTCCACTT ATCCATTCCTAACTTTAATCAGTATGAGGCAATGAGTTGTGACTTCAATGGGGGGAAGAT AAGTGTTCAGTACAACCTCAGCCACGCTTATGCTGTGGATGCAGCTAACCATTGTGGGAC CATTGCCAATGGCGTTCTTCAAACTTTTATGAGAATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAGGGGGAGTTGGGATTGTATAATGACTTCCTACCAATACTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGTCCATCCCCTATCGGTTATCT GGGGCTACTGTCACAGAGGACCAGGGACATTTACATCAGTCGGAGGCTTCTTGGGACTTT TACTTGGACTCTCTCTGATTCTGAAGGTAATGAAACACCGGGTGGATATTGTCTAACAAG GTGGATGCTGATTGAGGCTGAGTTGAAGTGCTTTGGGAACACAGCAGTTGCAAAATGCAA CGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGC TATAAGGAGGCTGAAAACAGAAGCACAAATGAGTATCCAACTGATAAACAAAGCAGTGAA CGCACTGATTAATGACCAGCTGATCATGAAGAATCATTTAAGAGATATCATGGGAATTCC TTATTGCAATTACAGCAAGTATTGGTACTTAAATCACACTGTAACAGGGAAGACATCGTT GCCAAGATGCTGGCTTGTATCAAATGGTACCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCAGACAATATGATAACAGAACTGTTGCAGAAGGAGTACATGGACAG GCAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT CATTAGCATCTTCCTCCATCTGGTTAAGATCCCAACCCACAGACATGTCATAGGGAAACC CTGCCCTAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTATACAAACA TCCTGGTGTACCAGTCAAGTGGAAGAGATAGGAGACAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTGAACACCATGTCTCTAGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAGTCCATTAAAGCACAATGTGGGGTGATTTCT TCTTTGCCCCCTCTTTTCTTCTTTTCGACAACCACCCCAGTGTGCATGTGGCACAGATCT TTGCATTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTGCTCAGTGCAATG TCAATAAGCTTTATGTCCCTTCTTCCTTGGGAATCCAAGAGTCTCTTGATATCATCTGAA CCTTGACAGGTCAGTACCATATTGCGAGGGAGGGCTTCAATAACTGCACTGGTCAAGCCA GGTTGAGCAGGGAAAAGATCTACTACATCAATCCCATGGGAGTATTTGGCATCTTGTTTG AATTGTTTTAAGTCTGTTGGTTCTCTGAAGAAGTGTATATAACAGCCCGACATAGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTTTTGGCA CTTGGGTCAAGCTGCATCATTGAATCCTTAAGTGTCATCAGCTGAGAGTAGGTCAGCCCT GTTGGAAACCCCGCTGACTGCAAAGACTTGTTAGACCCAGCAGTGCCCACCTTTTGTGGT TTTCCATCTGATTCGAGATCCACAGTAGTATTCTCCCAAGCTCTACCCACAATAGAAGTC CTGGAAGCTATGTAGGGCCAGCCGTCACCGGAAAGACAGATCTTATAAAGTATGTTCTCA TAAGGGTTTCTCTCACCAGGCGTATCTGAGACAAACATTCCCAAGGATTTTTTCACCTTT AAAATAGACTTCAGGATACCATCTATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCTCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCTCCTAAACTGAAGTTGTAA CCAGAAATATTCAAAGAGCTTTTCTTGGTGTCCACCATGTTCAGTATGGGATGACTTTGG GAAAGTCTATCCAGGTCGGAGCTATTTGGGTACTTGGCTGTGTATATTAAACCCAGGTCT GTTAGTGCTAAAACGGCATCATTTAAATCAACTTGACCTTGTTTAGTGAGACATGCTAAT GTCAGACTGGGCATGGTGCCAAACTGGTTGTTCAAGAGATCCGGATTTTTAACATCCCAC ACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAATGCTCTCCTTTGCTCAAGTTGCTGTGTACTCAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTGATGACCTTTGACTTTAGCTTCTCTAAATCAGCT GCTAATGTCAGCAGGTCATCTGAGGATAAGGTCCCAACTCTTAAGACACTCTTTTGTTGT GTTGATTTGAGTTCCACAAGATTGTTGACAGCCTGATTCAGATCTCTAAGACGCTTCAGA TCACTATCATCCCTTTTCTGCTTACGCATTAAGCGTTGCACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGTGCATCTTTAACAACTTGAAGCTTTATGCTGGAGCAA TAACCTGAAAGCTCCCTTCTCAATGACTGTGTCCAGAGGAATGATTTTACTTCCTTAGAA GCACTCATCCTGGTCTGAACACTTAGGGACTTGCTGGTTGAATGTATCACTC-------- ------------------------------------ >LASV_NGA_2018_1079-2 ------CATTTAGGATTGCGCTTTTAGAGATCTTTGTGTGAGTGAGCTTCATCAAGCCAT GGGACAAATCATAACATTTTTCCAGGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTTAGCCTTCTGGCAATACTGAAAGGGATCTACAATGTTGCCACCTG TGGCCTCTTTGGATTGGTGGCCTTTCTCCTCTTGTGTGGGAGATCATGCTCGACAACCTA CAAGGGTGTTTATGAGCTACAAACCCTAGAGCTAGACATGGCAAGCCTCAATATGACAAT GCCTTTATCTTGCACGAAGAACAACAGCCATCATTACATCATGGTCGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATTATTAACCACAAGTTTTGTAACCTTTCTGA TGCACATAAAAAGAATCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTTCACTT ATCCATTCCCAACTTTAATCAGTATGAAGCGATGAGTTGTGACTTCAATGGAGGAAAGAT AAGTGTTCAGTACAACCTTAGCCACACTTATGCTGTAGATGCAGCTAACCACTGTGGAAC CATTGCCAATGGTGTTCTTCAGACTTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAAGGGGAGCTGGGACTGCATAATGACTTCCTACCAATATTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAATTTTCTCGCCCATCCCCTATCGGTTACCT GGGGCTACTGTCACAAAGGACCAGGGATATTTACATCAGCCGAAGGCTTCTTGGGACTTT TACCTGGACTCTCTCTGACTCTGAAGGTAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGCTGATTGAGGCCGAGCTGAAGTGCTTTGGGAACACAGCAGTTGCGAAGTGCAA TGAGAAACACGATGAAGAGTTTTGTGACATGTTAAGGTTGTTTGACTTTAACAAACAAGC TATAAGGAGGCTGAAAACGGAAGCACAGATGAGCATCCAACTGATAAACAAAGCAGTGAA CGCACTAATCAATGACCAGCTGATCATGAAGAATCATTTAAGAGATATCATGGGAATTCC CTACTGCAATTACAGCAAATACTGGTATCTAAATCATACTGTGACAGGGAGAACATCACT GCCAAGGTGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAGACACATTTCTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAACTGTTGCAAAAGGAGTACATGGACAG GCAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT CATTAGCATCTTCCTCCACCTGATTAAAATCCCAACCCATAGACATGTCATAGGGAAACC CTGCCCTAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTGTACAAACA TCCTGGTGTACCAGTTAAGTGGAAAAGATAGGAGATAGACCCACCCACGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAATCCATTAAAGCACAGTGCGGGGTAATTTCT TCTTTACCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTATGCATATGGCATAGATCT TTGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTGCTCAGTGAAATG TCAATGAGCTTTATGTCTCTTCTTCCTTGGGAGTCTAAGAGTCTCTTAATATCATCTGAA CCTTGACAGGTCAGTACCATATTGCGAGGGAGGGCTTCGATGACTGCACTAGTCAAACCA GGTTGAGCAGGGAAAAGATCTGCTACATCAATCCCATGAGAATATTTGGCATCCTGCTTG AATTGTTTTAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGATATGGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTTTTGGCA CTTGGGTCAAGCTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAGGTCAGCCCT GTTGGAAACCCTGCTGACTGTAAAGACTTGTTGGACCCAGCTGTGCCCACTTTTTGTGGT TTTCCATCTGACTCGAGATCCACAGTGGTATTCTCCCAAGCTCTACCTACAATGGAAGTC CTTGAAGCTATATAGGGCCAGCCGTCACCAGAAAGACAGATCTTGTAAAGTATATTCTCA TAAGGGTTCCTCTCACCAGGTGTATCTGAAACAAACATTCCTAAGGATTTTTTCACCTTT AAAATAGACTTCAGGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCTCCTAAGCTGAAGTTGTAA CCAGAAATGTTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAAAGTCTGTCTAGGTCAGAGCTATTTGGGTACTTAGCTGTGTATATCAGACCTAGGTCT GTTAGTGCCAGGACGGCATCATTTAGATCAACTTGACCTTGTTTGGTGAGACATGCTAAT GTCAAACTAGGCATGGTGCCGAACTGGTTGTTCAGAAGATCCGGATTCTTAACATCCCAC ACCCTGACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGGGTTCCACCAACCATGCCTATC ATGTTCAGCAATGCTCTTCTTTGCTCAAGCTGTTGTGTGCTCAAATTCCCCATATAAACA CCTGAGCTCAATGGCCTTTCTGTCCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAATGTCAGCAGATCATCTGAAGTCAAGGTCCCAACTCTCAGGATACTCTTTTGTTGT GTTGATTTGAGTTCAACAAGATTGTTGACAGCCTGATTCAGATCTCTGAGACGTTTCAGA TCACTGTCATCCCTTTTTTGTTTGCGCATTAAACGCTGCACATTGCTGACTTCAGAAAAG TCAAGGCCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGCTTTATATTGGAGCAA TAACCTGAAAGTTCCCTCCTTAATGACTGTGTCCAGAGAAATGACTTCACTTCCTTGGAA GCACTCATCTTGGTCTGGACGCTTAGAGATTCACTGGTTGAAAATATTACCCAGTAAGTC AATGAAAAGCGCAATCCAATAGCC------------ >LASV_NGA_2018_1177-2 ---AGGCATTTAGGATTGCGCTTTTAGAGATCTTTGTGTGAGTGGGCTTTATTAAGCCAT GGGACAAATTATAACATTTTTCCAGGAAGTACCTCATGTTATAGAAGAAGTGATGAACAT TGTCCTGATTGCCCTCAGCCTTCTGGCAATATTGAAAGGGATCTACAATGTTGCTACCTG TGGCCTCTTTGGATTGGTGTCCTTCCTTCTCTTATGTGGAAGATCATGCTCAACAACTTA CAAAGGTGTTTATGAGCTGCAAACTCTAGAGCTGGACATGGCAAGCCTTAACATGACAAT GCCCTTATCCTGCACAAAAAATAACAGCCACCATTACATCAGGGTTGGAAATGAGACTGG CTTAGAGTTGACTTTAACAAATACAAGTATCATCGACCACAAGTTCTGTAACCTTTCTGA TGCACATAAAAAGAACCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTCCACTT ATCCATTCCTAACTTTAATCAGTATGAAGCAATGAGTTGTGACTTCAATGGGGGGAAGAT AAGTGTTCAGTACAACCTTAGCCACACTTACGCTGTAGATGCAGCTAACCACTGTGGGAC TATTGCTAATGGCGTTCTCCAGACTTTCATGAGGATGGCTTGGGGTGGTAGTTACATAGC ACTTGATTCCGGAAAAGGAAGCTGGGATTGCATAATGACTTCCTACCAATATTTGATAAT CCAGAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGCCCATCCCCTATCGGTTATCT GGGGCTGCTGTCACAAAGGACCAGGGACATTTACATCAGTCGAAGACTCCTTGGGACTTT TACTTGGACCCTCTCTGATTCTGAAGGCAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGCTGATTGAGGCCGAATTGAAGTGCTTTGGAAACACAGCAGTTGCGAAATGCAA TGAGAAACATGATGAGGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGC TATAAGGAGGCTGAAGACAGAAGCACAGATGAGTATCCAACTGATAAACAAAGCAGTGAA CGCACTGATCAATGACCAGCTGATTATGAAGAATCATTTAAGAGATATCATGGGAATTCC TTACTGCAATTACAGCAAGTACTGGTATTTAAATCACACTATAACAGGGAGGACATCGTT ACCAAGATGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAACTGTTGCAGAAGGAGTACATGGATAG GCAAGGGAAAACACCCTTGGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGTTTTTATCT CATTAGCATCTTTCTCCACCTAGTTAAAATCCCAACTCACAGACATGTTATAGGAAAACC CTGCCCTAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTGTACAAACA TCCTGGTGTACCAGTCAAATGGAAAAGATAGGAGACGGACCCATCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTAAACACCATGTCCCTGGGGAGGACTGCTCTCAGAACTGGTATATTAAGACCT CCTGACACAGCTGCATCATACATTATGCAGTCCATTAGAGCACAGTGTGGGGTAATTTCT TCTTTGCCTCCTCTTTTCTTCTTTTCGACGACCACTCCAGTGTGCATATGGCATAGATCT TTGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTGTTCAGTGCAATG TCAATAAGTTTTATGTCCCTTCTTCCTTGGGAATCCAAGAGTCGCTTAATATCATCTGAA CCTTGACAGGTCAGTACCATATTGCGAGGGAGAGCTTCAATGACTGCACTGGTTAATCCA GGTTGAGCAGAGAAAAGATCTGTTACATCAATCCCATGAGAATATTTGGCATCTTGCTTG AACTGTTTTAAGTCTGTTGGTTCTCTGAAGAAGTGTATATAGCAGCCCGACATAGGCTGG TAAAGAGCTATCTCCACAGGGTCTTCTGGACGACCCTCAATGTCTATCCAGGTTTTGGCA CTTGGGTCAAGTTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAAGTCAGCCCT GTTGGAAACCCCGCTGACTGTAAAGACTTGTTGGATCCAGCAGTTCCCACTTTTTGTGGT TTTCCATCTGACTCAAGATCTACAGTAGTATTTTCCCAAGCTCTACCTACAATAGAAGTC CTTGAAGCGATGTAGGGCCAGCCGTCACCGGAAAGACAGATCTTGTAAAGTATGTTCTCA TAAGGGTTCCTTTCACCAGGTGTATCTGAAACAAACATTCCTAAGGATTTTTTTACCTTT AAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTTTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCCCCTAAACTAAAGTTGTAA CCAGAGATGTTCAAAGAGCTCTTCTTAGTGTCCACCATATTCAATATAGGATGGCTTTGG GAAAGTCTGTCCAGGTCAGAGCTATTAGGATACTTAGCTGTGTATATTAGACCCAGGTCT GTCAGTGCTAAGACGGCATCATTCAAATCAACCTGACCCTGTTTAGTGAGACATGCTAAT GTCAAACTGGGCATGGTGCCGAATTGGTTGTTCAAAAGATCTGGATTCTTAACATCCCAC ACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAATGCCCTTCTTTGCTCAAGTTGCTGTGTACTCAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTGATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAATGTCAGCAGGTCATCTGAGGTCAAAGTCCCAACTCTCAAGATACTCTTTTGTTGT GTTGATTTGAGTTCTACAAGATTGTTGACAGCCTGATTCAGATCTCTGAGACGTTTCAGA TCACCATCATCCCTCTTTTGTTTGCGCATCAAGCGCTGCACATTGCTAACTTCAGAAAAG TCAAGACCATGAAGGAGAGCTTGAGCATCCTTAACAACTTGAAGCTTTATGTTGGAGCAA TAACCTGAAAGCTCCCTCCTCAATGACTGTGTCCAGAGAAATGACTTCACTTCCTTAGAA GCACTCATCTTGATCTGGACACTTTGAGGTTTGCTGGCTGAAAGTATCACTCAGTGAGTC AAAGAAAAGCGCAATCCAATAGCCTAGGATCC---- >LASV_NGA_2018_1375-2 --------------------CTTTTAGAGATCTTTGTGTGAGTGAGCTTCATTAAGCCAT GGGACAAATCATAACATTTTTCCAGGAAGTACCTCATGTTATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTCAGCCTTCTGGCAATACTGAAGGGGATCTACAATATTGCTACCTG TGGCCTCTTTGGATTGGTGTCCTTTCTCCTCTTATGTGGAAGATCATGTTCAACAACTTA CAAGGGTGTTTATGAGCTACAAACTCTGGAGCTAGACATGGCAAGCCTTAATATGACAAT GCCCTTATCTTGCACGAAGAACAACAGCCACCATTACATCATGGTCGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATCATCAACCACAGGTTTTGTAATCTCTCTGA TGCACATAAAAAGAATCTTTATGATCATGCTTTAATGAGTATCATTTCAACCTTCCACTT ATCCATTCCTAACTTTAATCAGTATGAAGCAATGAGCTGTGACTTCAATGGGGGAAAGAT AAGTGTTCAGTACAACCTTAGCCACGCTTATGCTGTAGATGCAGCCAACCACTGTGGGAC CATCGCCAATGGCGTTCTTCAGACTTTTATGAGGATGGCTTGGGGTGGCAGTTATATAGC ACTTGATTCCGGAAAGGGGAGTTGGGACTGTATAATGACTTCCTACCAATATTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGCCCATCCCCTATCGGTTACCT GGGGCTATTGTCACAGAGGACCAGGGACATTTACATCAGTCGAAGGCTCCTTGGGACTTT TACTTGGACTCTCTCTGATTCTGAAGGTAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGCTGATTGAGGCCGAGTTGAAATGCTTTGGGAACACAGCAGTTGCGAAATGCAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAATAAACAAGC TATAAGGAGGCTGAAGACGGAAGCACAGATGAGTATCCAGCTGATAAACAAAGCAGTGAA CGCACTGATCAATGACCAGCTGATTATGAAGAATCATTTGAGAGATATCATGGGGATTCC TTACTGCAATTACAGCAAGTACTGGTATCTAAATCATACTGTAACAGGGAAGACATCGTT GCCAAGGTGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCAGACAATATGATAACAGAACTGCTGCAAAAGGAGTACATAGACAG GCAAGGAAAAACACCTTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT CATTAGCATCTTCCTCCACCTGGTCAAAATCCCAACCCACAGACATGTCATAGGAAAACC CTGCCCTAAACCACACAGACTTAACCACATGGGCATATGTTCATGTGGTCTATACAAACA TCCTGGTGTGCCAGTCAAGTGGAAAAGATAGGAGACGGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGACTT GAGGTTCTGAACACCATGTCCCTGGGGAGAACTGCCCTTAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAGTCCATTAAAGCACAGTGTGGGGTGATTTCT TCTTTGCCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTGTGCATATGGCATAGATCT TTGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTGCTCAGTGCAATG TCAATAAGCTTTATATCCCTTCTTCCTTGGGAGTCCAAGAGTCTCTTAATATCATCTGAA CCTTGACAGGTTAGCACCATATTGCGAGGGAGGGCTTCAATGACTGCGCTGGTCAATCCA GGTTGAGCAGGGAAAAGATCTGCCACATCAATCCCATGAGAATATTTGGCATCTTGCTTG AACTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATATAACAGCCTGACATAGGTTGG TAAAGGGCTATCTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTTTTGGCA CTTGGGTCAAGCTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAAGTCAGCCCT GTTGGGAACCCCGCTGACTGTAAAGACTTGTTGGACCCAGCAGTGCCCACTTTATGCGGT TTTCCATCTGACTCGAGATCCACAGTGGTATTCTCCCAAGCCCTACCCACAATAGAAGTC CTTGAAGCTATGTAGGGCCATCCGTCACCGGAAAGACAGATCTTGTAAAGTATATTCTCA TAAGGGTTCCTCTCACCAGGTGTGTCCGAAACAAACATTCCCAAAGATTTTTTTACCTTT AAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTGATCCTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCTCCTAAGCTGAAGTTGAAA CCAGAAATATTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAAAGTCTGTCCAGGTCGGAGCTATTTGGGTACTTGGCTGTGTATATTAGGCCCAGGTCT GTCAGTGCTAAGACAGCATCATTCAAATCGACTTGGCCTTGTTTGGTGAGACATGCCAAT GTCAGACTAGGCATGGTGCCGAACTGGTTGTTCAAAAGGTCTGGATTCTTAACATCCCAA ACCCTGACAACTCCGTCTCTCCCAGGTTGAGTGCCCTGAGCCCCACCAACCATGCCTATC AAGTTCAGCAATGCTCTTCTCTGCTCAAGCTGCTGTGTGCTCAAGTTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGATTTCAGTTTCTCTAAGTCAGCT GCCAATATCAGCAGGTCATCTGAGGTCAAGGTCCCAACTCTCAAGATACTCTTTTGTTGT GTCGATTTAAGTTCTACAAGATTGTTGACAGCTTGATTCAAATCTCTGAGACGTTTCAGA TCACTGTCATCCCTCTTTTGTTTGCGCATTAAGCGCTGCACATTGCTAACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGTTTTATGTTGGAGCAA TAGCCTGAAAGCTCCCTCCTCAAGGACTGTGTCCAGAGAAATGACTTCACTTCCTTAGAA GCACTCATCTTGGTCTGGACACTTGGGAATTTACTGGTTGAAAGTATCACTCAGTAAGTC ------------------------------------ >LASV_NGA_2018_1381-2 ---------------------------------TTATGTGAGTGGGCTTCATCAAGCCAT GGGACAAATTGTAACATTTTTCCAGGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCTTGATTGCTCTCAGCCTTCTGGCAATACTGAAAGGGATCTACAATGTTGCTACCTG TGGCCTCTTTGGATTGGTATCCTTTCTTCTCTTGTGTGGAAGATCATGCTCAACAACTTA CAAGGGTGTTTATGAGCTACAAACTCTAGAGCTAGACATGGCAAGCCTTAATATGACAAT GCCCTTATCTTGCACGAAGAACAACAGCCACCATTACATCATGGTCGGAAATGAGACTGG CTTAGAGCTGACCTTAACAAATACAAGTATTATCAACCACAAGTTTTGCAACCTTTCTGA TGCACATAAAAAGAACCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTCCACTT ATCCATTCCCAACTTTAATCAGTATGAAGCAATGAGTTGTGACTTCAATGGGGGGAAGAT AAGTGTTCAGTACAACCTTAGCCACACTTATGCTGTAGATGCAGCCAACCACTGTGGGAC TATCGCCAATGGCGTCCTTCAGACCTTTATGAGGATGGCTTGGGGAGGCAGCTACATAGC ACTTGATTCCGGAAAGGGGAGTTGGGACTGTATAATGACTTCCTACCAATATTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGCCCATCCCCTATCGGTTACCT GGGGTTGTTGTCACAAAGGACCAGGGACATTTACATCAGTCGAAGACTTCTTGGGACTTT TACTTGGACTCTTTCTGATTCTGAAGGCAATGAGACACCGGGTGGGTATTGTCTAACAAG GTGGATGCTGATTGAGGCCGAATTGAAGTGCTTTGGGAACACAGCGGTTGCGAAATGCAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGACTGTTTGACTTTAACAAACAAGC CATAAGGAGGCTGAAGACGGAAGCACAGATGAGTATCCAACTAATAAACAAAGCAGTGAA CGCACTGATCAATGACCAGTTGATCATGAAAAATCATTTAAGAGATATCATGGGAATTCC TTACTGCAATTACAGCAAGTACTGGTATCTAAATCACACTGTAACAGGGAAGACATCGCT GCCAAGATGTTGGCTTGTGTCAAATGGTTCCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAGCAAGCAGACAACATGATAACAGAACTGTTGCAAAAGGAGTACATGGACAG GCAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT CATCAGTATCTTCCTCCACTTGGTTAAAATTCCAACCCACAGACATGTTGTAGGGAAGCC TTGCCCTAAACCACACAGACTTAATCACATGGGTATATGCTCATGTGGTCTGTACAAACA TCCTGGTGTACCAGTCAGATGGAAAAGATAAGAGATAGACCCATCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTA GAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAGTCCATTAAAGCACAGTGCGGGGTAATTTCT TCTTTACCTCCTCTTTTCTTCTTCTCGACAACCACTCCAGTGTGCATATGGCACAGGTCT TTGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTGCTCAGTGCAATG TCAATAAGCTTTATGTCTCTTCTTCCTTGGGATTCAAGGAGTCTCTTAATATCATCTGAA CCTTGACAGGTCAGTACCATATTGCGAGGGAGGGCTTCAATGACTGCACTGGTCAAACCA GGTTGAGCAGGGAAAAGATCTGCTACATCAATTCCATGAGAATATTTGGCATCTTGCTTA AACTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGACATAGGCTGG TAAAGAGCTATTTCTACGGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTTTTGGCA CTTGGGTCAAGCTGCATCATTGAATCCTTAAGTGTCATCAACTGAGAATAGGTCAGCCCT GTTGGAAACCCCGCTGACTGTAGAGACTTGTTGGACCCAGTATTGCCTATCTTTTGTGGC TTTCCATCTGACTCGAGATCCACAGTGGTATTCTCCCAAGCTCTACCCACAATGGAAGTC CTTGAAGCTATGTAGGGCCAGCCGTCACCGGAAAGACAGATCTTGTAAAGTATGTTCTCA TAAGGGTTCCTCTCACCAGGTGTATCTGAAACAAACATTCCCAAGGATCTTTTTACCTTC AAAATAGACTTCAGGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCCCCTAAGCTGAAGTTGTAA CCAGAAATGTTCAAGGAGCTCTTCTTAGTGTCTACCATATTTAGTATGGGATGACTTTGG GAAAGCCTGTCTAGGTCGGAGCTATTTGGGTACTTAGCTGTGTATATTAGACCCAGGTCT GTTAGTGCTAAGACAGCATCATTCAAATCAACTTGACCTTGTTTGGTGAGACATGCTAAT GTCAGACTAGGCATGGTGCCAAACTGATTGTTCAAAAGATCCGGATTCTTAACATCCCAC ACCCTAACAACTCCATCTCTTCCAGGCTGGGTGCCCTGGGCCCCACCAGCCATGCCTATC ATGTTCAGCAATGCTCTTCTTTGCTCAAGTTGCTGTGTACTCAGGTTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAATGTCAACAGGTCATCTGAGGTTAGAGTCCCAACTCTCAAGATGCTCTTTTGTTGT GTTGATTTGAGTTCTACAAGATTGTTGACAGCCTGATTCAGATCTCTGAGACGTTTCAGA TCACTATCATCTCTTTTTTGCTTGCGCATTAAGCGCTGCACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGCTTTATGCTGGAGCAA TAACCTGAAAGTTCCCTCCTCAGTGACTGTGTCCAGAGAAATGACTTCACTTCCTTGGAA ACACTCATCTTGGTCTGGAAACCCAGAGATCCACTGGTTGAAAGTATCACAC-------- ------------------------------------ >LASV_NGA_2018_1392-2 ------------------------------------------------------------ -----------------------------------------------------TGAACAT TGTTCTGATTGCTCTCAGCCTTCTGGCAATACTGAAAGGAATCTACAATGTTGCCACCTG TGGCCTCTTTGGATTGGTATCCTTTCTCTTCTTGNNNNNNAGATCATGCTCAACAACTTA CAAGGGTGTCTATGAGCTACAAACTCTAGAGTTAGACATGGCAAACCTTAACATGACAAT GCCCTTATCTTGCACGAAGAACAACAGCCACCATTATATCATGGTCGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATTATCAACCACAAGTTCTGTAACCTTTCTGA TGCACATAAAAAGAATCTTTATGACCATGCCTTAATGAGTATCATCTCAACCTTCCACTT ATCCATCCCTAACTTTAATCAGTATGAAGCAATGAGTTGTGACTTCAATGGGGGAAAGAT AAGTGTTCAGTACAACCTTAGCCACACTTATGCTGTAGATGCAGCCAATCACTGTGGGAC TATCGCCAATGGCGTTCTCCAGACCTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAAAGGGAGTTGGGATTGTATAATGACTTCCTACCAGTATTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGTCCATCCCCTATCGGCTATCT GGGGCTACTGTCACAAAGGACCAAGGACATTTACATCAGTCGAAGACTTCTAGGGACTTT TACTTGGACTCTCTCTGATTCTGAAGGTAATGAAACACCGGGTGGGTATTGTTTAACAAG ATGGATGTTGATTGAGGCCGAGTTGAAGTGCTTTGGGAACACAGCAGTTGCGAAATGCAA TGAGAAACATGATGAAGAGTTTTGTGATATGTTGAGATTGTTTGACTTTAACAAACAAGC TATAAGGAGGCTAAAGACAGAAGCACAGATGAGTATCCAACTGATAAACAAAGCAGTGAA CGCACTGATCAATGACCAGCTGATCATGAAGAATCATTTGAGAGACATCATGGGAATTCC TTACTGCAACTACAGCAAGTACTGGTATCTGAATCACACTGTAACAGGGAAGACATCGTT GCCAAGGTGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAGACACATTTTTCTGATGA CATTGAACAACAAGCGGACAACATGATAACAGAACTGTTGCAAAAGGAGTACATGGACAG ACAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGCTTTTATCT CATTAGCATCTTCCTCCACCTGGTAAAAATCCCAACCCACAGACATGTCATAGGGAAACC TTGCCCTAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTATATAAACA TCCTGGTGTGCCAGTGAAGTGGAAAAGATAGGAGACAAACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATNNNNNNNNNGANNNNNNNNNNN NNNNNNNNNNNNACCATGTCCCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCT CCTGACACAGCTGCATCATACATTATGCAATCCATCAAAGCACAGTGTGGGGTAATCTCT TCTTTGCCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTGTGCATATGGCATAGATCT TTGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGTCTTGCTCAGTGCAATG TCAATAAGTTTTATGTCCCTTCTTCCTTGGGAATCTAAGAGTCTCTTAATATCATCTGAA CCTTGACAGGTCAGTACCATATTGCGAGGGAGGGCTTCAATGACTGCGCTGGTCNNNCCA GGTTGAGCAGGGAAAAGGTCTGCCACATCAATTCCATGAGAATACTTGGCATCTTGCTTG AACTGTTTCAAGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGACACAGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCAATGTCTATCCAGGTTTTGGCA CTTGGGTCAAGCTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAGGTCAGCCCT GTTGGGAACCCCGCTGACTGTAAAGACTTGTTGGACCCAGCAGTGCCCACTTTTTGTGGT TTTCCATCTGACTCGAGATCCACAGTAGTATTCTCCCAAGCTCTACCCACAATAGAAGTT CTTGAAGCTATGTAGGGCCAGCCGTCACCAGAAAGACAGATCTTGTAAAGTATGTTCTCA TAAGGGTTCCTCTCACCAGGCGTATCTGAAACAAACATTCCCAAAGATTTTTTTACCTTC AAAATGGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCCTTTACTGCAGCTCCCAAGCTGAAGTTGTAA CCAGAAATGTTCAAGGAGCTTTTCTTAGTGTCCACCATGTTCAGTATAGGATGGCTTTGG GAAAGTCTATCCAAGTCGGAGCTGTTTGGGTACTTAGCTGTGTATATTAGACCCAGGTCC GTTAGTGCTAAGACAGCATCATTCAAATCAACTTGACCTTGTTTGGTAAGACATGCTAAA GTCAGACTAGGCATGGTGCCGAACTGGTTGTTCAGAAGATCCGGATTCTTAACATCCCAC ACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAATGCTCTTCTCTGCTCAAGCTGTTGTGTACTCAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTAGACTTTAGTTTCTCCAAGTCAGCT GCCAGTGTCAGCAGGTCATCTGAGGTCAAGGTGCCAACTCTCAAGATACTCTTCTGTTGT GTCGATTTAAGTTCTACAAGATTGTTGACAGCCTGATTCAAATCTCTGAGACGTTTCAGA TCACTGTCATCCCTCTTTTGTTTGCGCATTAAGCGCTGTACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGGGCCTGAGCATCCNTTACAACTTGAAGTTTTATGTTTGAGCAA TAACCTGAAAGCTCCCTCCTC--------------------------------------- ------------------------------------------------------------ ------------------------------------ >LASV_NGA_2018_1643-2 ------------------------------------------TGGGTTTCATTAAGCCAT GGGGCAAATCATAACATTTTTCCAGGAAGTGCCTCATGTCATTGAGGAGGTGATGAACAT TGTCTTAATTGCTCTCAGCCTTCTAGCAATACTAAAAGGGATTTACAATGTTGCTACCTG TGGCCTCTTTGGGTTGGTGTCCTTTCTTCTCTTATGTGGAAGGTCATGCTCAACAACTTA CAAGGGTGTTTATGAGCTTCAAACTCTGGAGCTGGATATGGCAAGCCTTAATATGACAAT GCCCTTATCCTGCACGAAGAACAACAGCCACCACTACATCATGGTTGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAACACAAGTATCATCAACCACAAGTTTTGCAACCTTTCTGA TGCACATAAAAAGAATCTCTATGACCATGCTTTAATGAGCATCATCTCAACCTTCCACCT ATCCATCCCTAACTTTAATCAGTATGAAGCAATGAGTTGTGATTTCAATGGGGGAAAGAT AAGTGTTCAGTACAACCTCAGCCATACTTATGCTGTGGATGCAGCTAACCATTGTGGGAC CATTGCCAATGGAGTCCTTCAAACTTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCTGGAAAAGGGAGTTGGGATTGTATAATGACATCCTACCAATATTTGATAAT CCAAAACACCAGTTGGGAAGATCACTGCCAGTTTTCTCGCCCGTCCCCTATCGGTTATCT GGGACTACTTTCACAAAGAACCAGAGACATTTACATCAGCCGAAGACTCCTTGGGACTTT TACTTGGACTCTCTCTGATTCTGAGGGCAATGAAACACCGGGTGGGTATTGTTTAACAAG ATGGATGCTGATTGAAGCCGAATTGAAGTGCTTTGGGAACACAGCAGTTGCGAAATGCAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGGTTGTTTGACTTTAATAAACAGGC TATAAGGAGGCTAAAGACAGAAGCACAGATGAGTATCCAACTAATAAACAAAGCAGTGAA TGCATTGATCAATGACCAGCTCATTATGAAGAATCATTTAAGAGATATCATGGGAATTCC TTACTGCAATTACAGCAAGTATTGGTACTTAAACCACACTGTAACAGGGAAGACGTCGTT GCCAAGGTGTTGGCTTGTATCAAATGGTACCTACCTGAATGAAACACATTTTTCTGATGA CATTGAGCAACAAGCAGACAACATGATAACAGAATTGTTACAGAAAGAGTACATTGATAG GCAAGGGAAAACACCCTTAGGGTTGGTGGATCTTTTTGTCTTCAGCACTAGCTTCTACCT TATTAGCATCTTCCTCCACCTGGTTAAAATCCCAACCCACAGACATGTCATAGGGAAACC CTGCCCCAAGCCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTGTATAAACA TCCTGGTGTACCAGTCAAGTGGAAAAGATAAGAGACAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GATGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTCAAAACTGGTATATTGAGTCCT CCTGACACAGCCGCATCATACATTATGCAATCCATTAGAGCACAGTGTGGGGTAATTTCT TCTTTACCTCCTCTTTTCTTCTTTTCAACAACCACCCCAGTATGCATATGGCATAGATCC TTGCATTGATCCCAAACAGCATTCTCAAACCTCCTAGAGTCAGCCTTGCTCAGTGCAATG TCAATAAGCTTTATGTCCCTTCTTCCTTGGGAGTCTAAGAGTTTCTTAATATCATCTGAA CCCTGACAGGTCAGTACCATATTGCGAGGAAGGGCTTCAATGACTGCACTGGTCAAGCCA GGTTGAGCAGGGAAAAGATCTGCTACATCAATCCCATGAGAATATTTGGCATCTTGCTTG AACTGTTTCAAATCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGACATAGGTTGG TAAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCAATATCTATCCAGGTTTTAGCA CTTGGGTCAAGTTGCATCATTGAGTCTTTAAGTGTCATCAACTGAGAATAGGTCAACCCT GTTGGAAACCCTGCTGACTGTAAAGACTTGTTGGACCCAGCAGTGCCCACCTTTTGTGGC TTTCCATCTGACTCGAGATCCACAGTGGTATTCTCCCAAGCTCTACCTACAATGGAAGTT CTTGAAGCTATGTAGGGCCAACCGTCCCCAGAAAGACAGATCTTGTAAAGTATGTTCTCA TAAGGGTTCCTCTCACCAGGTGCATCTGAAACAAACATTCCTAAAGATCTTTTTACCTTT AAGATAGATTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCTCCATCAAGCATACAGGCTCCAGCTTTCACTGCAGCTCCTAAACTGAAGTTGTAA CCAGAAATATTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAAAGTCTGTCCAGGTCGGAGCTGTTTGGGTACTTAGCTGTGTATATTAGACCCAGGTCT GTTAGTGCTAAGACGGCATCATTTAAATCAACTTGACCTTGTTTGGTGAGACATGCTAAT GTCAGACTAGGCATGGTGCCGAATTGGTTGTTCAAAAGATCCGGATTCTTGACATCCCAC ACCCTAACAACTCCGTCCCTTCCAGGTTGGGTACCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAATGCCCTTCTTTGCTCAAGTTGCTGTGTACTCAAATTTCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTGATGACCTTCGACTTCAGTTTCTCCAAGTCAGCA GCCAATGTCAGCAGGTCATCTGAAGTCAAGGTCCCAACTCTCAGGATACTCTTTTGTTGT GTTGATTTGAGTTCTACAAGATTGTTGACAGCCTGGTTCAGATCTCTGAGACGTTTCAGA TCACTGTCGTCCCTTTTTTGTTTGCGCATCAAGCGTTGAACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACCTGAAGCTTTATGCTGGAGCAG TAACCTGAGAGCTCCCTCCTCAATGACTGTGTCCAAAGGAATGACTTTACTTCCTTGGAA GCACTCATCCTGATCTAGACACTCAGGAACTCACTGGTTGAAAGTATCACTCAGTAAGTC AGTGA------------------------------- ================================================ FILE: tests/input/TestFeatureTransfer/lasv/input/ref-lasv-ISTH2376.fasta ================================================ >KM821997.1 Lassa virus strain ISTH2376-NIG-2012 segment L Z protein (Z) and polymerase (L) genes, complete cds ATCCTAGGCAATTCAGCTGGACTTCAGTGGTGAGGCTCACTTTGGTGAATTCCTGAATTAAAGTACCTAG TCAAAATGGGCAACAGACAGGCCAAATCGACAAAAGTCGATGAACATCAAAGAGCTCATCTAGTGCCAGA TGCATCCCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTGGTTTGAGAACAGAGGGTTGGTAGAGTGCAAC AATCACTACCTGTGTCTCAACTGCCTCAGCCTGCTCCTCAGTGTCAGCAGCAGATGCCCGATCTGCAAGA TGCCCCTTCCCACCAGGCTAAAGGCAGCGACACAGCCGAGCGCACCATCAACTGAGGCGACCCAGACCAC AACACCTCCACCATACACCCCATGATCCCGGGATCAACACTCCCACCTCCACCGCCCACCCCNNACCCCC GGGGGGACCCCCCGCCGGGGGCCCCCCCGGGGGGGCAGGCGGTCCAGCTCTACTCGATGTCCTCAACACA CTTCTCTGGCCCAAACAACTCCGAACATGTCCTTCCCTTCAGTCTTAGGCTACCCCCACTTGACTGTATC ATCACTCTTTGCCTTGATTTACTATAGCAAAGAGCATAGCCTTTGAAATCAATCCATTCTCCAAGAGATT CAAGAAGTTCACTCAGTATATTAGCATAATCCATAGGTCTCTGTTTAGTAAGGATTGAGACAATGTCCAC ATCCGTCCATTGAACCCTTTGTTTCAATCTATCAGACATCATTGATTTCAATGCACCAACCAAAAGATGC GGGGAACTATCACCAATCTCCCTTACAAACATTTCCAGATCTTGATCTTGGATAGATGGTGTAAATGCAG CTACCCTTTTATCAGATTCCCACAGTGCTCCTCTACACACAACCAATGGCACTGGTTCGTTGTCAGGTCC GACCTTGGTGAAATCAAACTCACTGAACTGCAGTTTATCTGGATTAATAATCAGCTTCATGGGTATAACA TCCCCCAACTGCTGTGTATCCTTTAAGAATTCATTTACCACATCTGATTCAACAAACCAGGATGATCTAC CTTTGAAAGTTGGGCCCGACAAAGCAAGTCTCCAACAGTCAGGCAGGACACATGGGCTCACAGACCCAGA ATATAGTGCCTGTATATCATTCACTACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGG ATAGAAAAAGTCTCTTTAAAACTAGCATCCTGACTCTTGATTTTATACCTAATTGTCTGGTAAAACTGAA CAGAGTCTACTGGCATTGTGCTTAACAAATCAAAGAAATCTTCAAGGGAGTCTAACCTCAATTCCTCTGT CAGGCCTGAAGCAATGAGCTGGTTCAAGTTTATCTGAGCTGGTTCCATGTCAAAATCTATCCATGCATAG CCCATCATTAGATCAAACTTAAACATGGGTCTCTCTATCCCTTTGTAAATGGCTTTCTCAATGAATGAAG AGAAGGGACCCAGTCGCTGTAAACCTTCACCCTCTGGTATTGAAGTTTTATGAGGAAACCAAGTGAATGA CCCAAGTGTCCTTGTTGTTGCTACAAAAGAGCGGACATATGATTCAAAGTAGACTTGTCTCATAAAGTTG TCCACTGCATCAGCAGTACTAACCACCCTTTCCTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTTC TCAGTTCAGAAGCCAATACAACATAATGTTCCTCCCTTTTCCACTTGACAATGTGTGAAACAAGTGAAAG TGCCTCGCAATTCACATCTAGGGCAACACAAAGGTCAAGGAACTTTATTCTAGGTGACCATTTCATCTTT GTGGAAGCTAAATCACTCATAAATGGCAAGATGTGCTTCTCAAATAGAGACGGATATAAACGTCTCAAAG AGTGGATGATGTGGCTCATGCCAACCCTGTCCTCTAGCAGTTTCGAAACAGTGGGTCTCAAGGGGAAATA ATCACAAGGGTTATGCTTAAAAAAGTCCAAGATCTGAGCTTGTTTTGGTTCCCCGAGCACCCACGCTCCA AGTTCTATAGCTGTAGATAGTGTTATGCACATATAATCCCATAGAAGAGGTCTTAAATAAGTGACAACAG TACTACCTCCATCTTTGGCTTCTGGTGAGACTTTCCATATCTGAATTCCATTGTCCCCCATCACTGCTTC AACACCCTGAGTCCCCAATAGTTGAGTCTGTATGGATCTAATGTAAAGATTCTCCTTGTTGGGGCCTCTG ACGCACTTGCTACCCAGTGTTCTGCACAACCCCACAAACCCAGATGCTATAGAACTTTGGAAAGCTGATT TATTTATTGCTTCAGACAGTAGCTTCTGAGCTCCTCTAGTGAATGTGGATGACAACCTATTTTGCAAAGT CTTTACTATTGTAGGGACCCTTTCATCTTCCAGATTCACAGCGCCAGAATAGATAATCTTTTGCCGCAAC ACCATTCTAAGTGGGTGATGGGTGGCTAAGTTCAACCAATGAAACCCCAAGTCAGAATCAGACAAAGGTT CAATGCCTAGAAGTTTAAACAAATTCTGTAATGATGTTGTGTGTTCACCTGATAGGTAGTTGGTGGTGAA TTCCTCATGAAGCTCACCAGTTTTTAATTTATTGAACAATATCCTAAGCATTGACCTCATCTTTTTGCAT GCATCAGGAATTAGCCTCTCGATCTGCCTCATTATCCTATAGCTACGATTCCCGTCCACCCAATCTCTTA CATCAGTCTCGCAGTTCAAAAGGAATGGATCAATAGGATACTTGGCATAACATAACAAACTCAAAGTCCT CTTCTGAATTTGATTGCACAGATCAACTGGGACACCATTGGCCACAGACTGATCAATTATGGTATCAATT GTTTCTGCCAATTGATGGGGTTCTTTGCACTTTATGTTATGTAAAGCTGCAGCAACAAATTTTGTTAGCA GGGGCACCTCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCAATTGCACTCTT TGGACTTACAAATTTATTTAACTGATCACTCATGTAGTAATGGAACTCTAACAATGTTTTGAATTCTTCT GCATCTCTTGAAAGTAATTCTGTTAAGTTCTGATCAAATAATGATATCTGATCGTCACTGGACGTGTAAG CATCAATTTGTCCTCCAGACACACACCTCACCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAA GTCTGAGGTGTTGTGTAAGATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGGACTGTGCCA GTTTGAAAGTTGGAATTAAAGAAGTCTTCGGTCATTGATTGAGTTGTCTTCTTCTTCAATCCAAGTTGGG ACTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTGTGCATATGCCA TGTTAATAATGTTGACAAGTAATCTTTACCTTTTAAATCAGCTTGTAAATCATCAGAAAGTAAGATTAAG TTTTGAATTATTGTTAGAAACAAGAAAGGACACATCATAGGACCCCACTTACTGTGATCCATACTATATG ATACATGTGCCGATGAGACATTCAGTTTCATTGACAAAATGGCATTATCAAACTCCTTCTCATTGTTTAG ACAGCTGCCTGCTAATTGTGATGTGAGTGCTTCAAAGTAATCCTCAATGAGCCTTGTGAACATTTTTGTC CTTAAATCTCCGATGTACAACTCTCTATTGCCACCCACTTGTTCCTTGTAAGACAAAGAAAACTTTAGTC TACCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCTTGACTGTAAAAACACAGGTTTTTTAG CATTGCTGTAGTACAGTTAGTTAGGGACAAGGCCTTGCTAAGTGCTTCAGAGTTACTCTCACGTTCACTT ATCCTGACATCATCAGCCAATCTCCCTGTATCAAATTTAAAGTTCAGACACTTGCTCTTATAATGAGAGT ATCTTCCCATCAGCTTATTCCCATTCATCACTAGTAAAATTGACTTAAAGCACTGAAAATATTCTTGGTC CAAAAAAGTCCTAGTCACTACTGCTTTTGTCAGCTCACTAATAGGACATGAATTCATTGGCCCTACATAA AAATATTTACTTCTCAAAGTAGCATCATTGTAGATATTCTCACAAATTTTGATGTATTGATCTTCAGACA GGATCTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATCAACCTTATTAAGAGTTT TTCTTCCACCACTTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCTGCCTGCTGCTGTCCTTTTGGT TGCTCCCTATACTGACTGACAATATTGTCAACAGTGCACCTCAGTTGGTCGAAGTATTCTGATGCTCCTC CATCCAATAGTATCTCATCTAGATCAGCATTGTTGGTGTCACCACTCCCTCCTTTGGACCCCAGAACAAG ATTACTCATTGCTTGCTGTATTTTGTAATCATAATCCTGTTTATTAAGCAAGAATTTGCCTTTACGTGCA AACACCTCAGTTAACTGTGTGACAGCCAAAGCTGTAAGTTTATTGAAGTCATAATCCAGAATACGGGACC CATCTGTATACTTATTCACAACGACGCTCTTATTGCTGGCCAGGTCCAAGGCTGTTGCACAGCCGCTTGT AATAAGAGGGTCTCGCAGTGTCTTTTTTACCTCCTTTTCTTTGAACAATGAACCATTGTTAAAACTGGAC ACAAGGAGTGAAATAAATTTCTTGGAAACACCAGGCTTTTTATACCTAACTTTTTCCGCATCTACACAAC ATTCTTTACTTAGGAATTTTCTTGCATTATAAACCATTTCAACAAGCTCTTCCTCCAATGCATCATCCTT CGGGTTCACACTCACATGTCCAAATTCCAACTTGGGCTCAAGGAATTTTTCAAAGCATTTGATCTGGTCA GTCAGTCTGTCAGGTGTTTCTTTTGTAATGAAGTGACACATATAGGAGATATTTAAAACAAACTTGAATC TATTGGTCATCATACTGACAACTTCTTCAGACAGAATTATCTTTAATAAGTAACGAACAAGTCTGTAGAG CAGATATTCTACTTCTGTGATCAAATCCTCCCTGATTTTCTCAATCAAGTCCTTATGATAAAAATCGGAT ACAAAGGCCATCACAAAATACCTGATGTTTTGTAAAAATTTTTGACACCTTTTACTAGGGTGTGTCAGTA TTAAAACTAAAATCATTTTAGTTAACAATTTAATAGTGATCAATTGTTCAGACAACTCTGTGCACTCTTC TATCCAGCTGACCATAACATCGACTACTTTCTGCAGCACATCACTGGAGAAAACTGAAGGAAAAAACCGT TTGGGATCAGCATAAAAGGAACAAACCTCTCCAACTACATTATTGTTAATAGCATAACACTTTGAGCATT CACCTGTTTTTTGATACAATAGTTTGAATCCCATCTTATTGATGAAGAACTCTTGGCAGTAGGCCTCTTT GCACCTCACAACCTGGTATCTAGAGGGTCCAAATTCATTTTGCCTTAGTTTCACTGTAGAAGACGTTTTC ATTGAGTTAATCAAAGCCAAGCTCAATGATGATAGTCTTTCTAAGTCTGTTGCACCTAGAATGTCAATAA CGCCAAGAGTATAAGGGAACATGTCTTCCTGAGTTTTCTGGTAACTCATAGTGGGTGTGATGCCAGAGAT CTCAATGTCCATGATGGCATCATAAACATCACAATCAAGGATTTTGAAATCAATTCCATAAGAGTTGGTT TCTATGCCAACCTCCCTCAAAGCATTAGCGGCTCGAGTTAAAACTCTGTTGATGATGGCAAGGAGCTCAC AATTTCGTTCTTCTTTGGGTGATAGGACACCCACGTTCTTGTCTCTAGTTCTCTTCCTGCTATCTATCCA CCGTTTTAGATCTCTTTTTGTTGATTCCAATGAAACTAATCTGTCGTTAACACTCACAAAACAGGAGCCC AACCAACCAGCAAGGAGCTTGTCACCATGCCTTATACAGTCCAGTCGGCTGGCAAGAAGGATCAGAACGT CAAAAACAAGGAGAAGTTTCCTTCTGGTGTTGAGGATCCTCAGAGACTTTATCTTATTTAAAAAAGATCT CCAACATTGCATCTGTTCACTTTGAGAGTCAACAGCCTTTTCCTTGCTAGAATCCAAATCTGCATATAAG AATTTAAGGACTGGAGAGGCTCTTCGGAACTGAAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCTA TTTTATCACAATATAGCTTTCTGAAATCCTCTAACAACTTCATCTTATCAGTCTTAACAAATTGACTTTC TATGTTCCCTTGCCTTAGTTTGTTCCTGAAGATTTGATACTCCTCCTCAATCAAACTCTTGACTTCATGA GAGGTAAGCTTGTTATTAATGCCTTGATGACAACTAGAAATTATTTCTTCAAAGTGTTTTGCACGCTTGT CAATTAGAACATTGATGCTTTCAATTCCTGAGAGCCTCCCAGACGTTAAGGCTAAAGATTCACAAAGCCT CGAATATTCAGACTCTTCGAACAATGCATTACTTTCTTGTGAATATTTTAACAAGGTGAATAAGGTGTCC CTGAGTTTGTCATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTTGTCCTGCCGTCTATGAGAGGGA TGAGCTTGATGCCAACAGACTCCAAATCGTTCTTTAATTGTTCTAGTTTCCTGTGATCTTCTAAATACTT CTGTTCGAAATTGGCGGGGGATGATCTGACAAAGCACTCAAGTAAGATTAGAACATTGCCAGTGAGTTTG TAGCCGTCAGGCACCACAAAGCATAAAGCTGGAGTGAGAATCCCATGATCACTCAGAATGGATTCAACCG TTTTGTCTTCAGTGTTATGTTCACATCCATTGGCCTTACAGGAGTCAATCTCAATGCAAAGAGATAGTAG TTTCAATCCCTCCATAAGCAACATTCTGGGTTCGGTTTGGACCAAAAAAGCTAATTTCTGTCTTGACAAC TTCTCATTATCTGCAAGGTACTTTGAGATGAGATCTTTAGCATTAGCAATGTCTTCCTCCATCGCCAACT GTGGCACCTGTGTTGGGTTTGGGTTTATGCCAATATGGCTTGTGGGTCGGCTGGTGATGTCCTAAAGAAG CTCCTACAGAAATGAGAGACAATATGCCTAGGATC >KM821998.1 Lassa virus strain ISTH2376-NIG-2012 segment S glycoprotein precursor (GPC) and nucleoprotein (NP) genes, complete cds CCTAGGCATTTAGGATTGCGCTTTTAGAGATCTTTGTGTGAGTGAGCTTCATCAAGCCATGGGGCAAATT ATAACATTTTTCCAAGAAGTACCTCATGTCATAGAGGAAGTGATGAACATTGTCCTGATTGCTCTCAGCC TTCTGGCAATTCTGAAAGGGATCTACAATGTTGCTACATGTGGCCTTTTTGGACTGGTGTCTTTTCTCCT CTTATGTGGAAGATCATGCTCAACAACTTACAAGGGTGTTTATGAGCTACAGACTCTAGAGCTAGACATG GCTAGCCTTAACATGACAATGCCCTTATCTTGCACGAAGAACAACTCCCACCATTACATCATGGTCGGAA ATGAGACTGGCTTGGAGCTGACTTTAACAAATACAAGTATTATCAACCACAAGTTTTGCAACCTCTCTGA TGCACATAAGAAGAATCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTCCACTTATCCATTCCC AACTTTAATCAATATGAAGCGATGAGCTGTGACTTCAATGGGGGGAAGATAAGTGTGCAGTACAACCTCA GCCACACTTACGCTGTGGATGCGGCTAACCACTGTGGGACCATTGCCAATGGCGTTCTTCAGACTTTTAT GAGGATGGCTTGGGGTGGCAGTTACATAGCACTTGATTCCGGAAAGGGGAATTGGGATTGCATAATGACT TCCTACCAATATTTGATAATCCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGTCCATCCCCCA TCGGTTATCTGGGGCTACTGTCACAAAGGACCAGGGACATTTATATCAGTCGAAGACTTCTTGGGACTTT CACTTGGACTCTCTCTGATTCCGAAGGTAATGAAACACCGGGTGGGTATTGTCTAACAAGATGGATGCTG ATTGAGGCCGAGTTGAAGTGCTTTGGGAACACAGCAGTTGCAAAATGTAATGAGAAACATGATGAAGAGT TTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGCTATAAGTAGGCTGAAGACAGAAGCACAGAT GAGTATCCAACTGATAAACAAAGCAGTAAATGCACTGATCAATGACCAGCTGATTATGAAGAATCATTTG AGAGATATCATGGGAATTCCTTATTGCAATTACAGCAAATATTGGTATCTAAATCACACTGTAACAGGGA AGACATCGTTGCCAAGATGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAAACACATTTTTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAAATGTTGCAAAAGGAGTACATAGATAGGCAAGGGAAA ACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGTTTTTACCTTATTAGCATCTTCCTCCACC TGGTTAAAATCCCAACCCACAGACACATCACAGGGAAACCCTGCCCCAAACCACACAGACTCAACCACAT GGGCATATGCTCATGTGGTCTATACAAACATCCTGGTGTGCCAGTCAAGTGGAAAAGATAGAAGATAGAC CCACCCATGGGCCCCCGTGACCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGAC CTTGGGGCTTGAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCC CCTGACACAGCTGCATCATACATTATGCAGTCCATCAAAGCACAGTGCGGGGTAATTTCTTCTTTACCTC CTCTTTTCTTCTTTTCGACAACCACTCCAGTATGCATATGGCACAGATCCCTGCACTGATCCCAAACAGC ATTTTCAAATCTCCTAGAGTCAGCCTTACTCAGTGCAATGTCAATAAGCTTTATGTCCCTCCTTCCCTGA GAGTCCAAGAGTCTCTTAATATCATCTGAACCTTGACAGGTCAGTACCATGTTGCGAGGAAGGGCTTCAA TAACTGCACTGGTCAGGCCAGGTTGAGCAGGGAAAAGATCTGCCACATCAATCCCGTGAGAATACTTGGC ATCTTGCTTGAACTGTTTTAAATCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGACATGGGTTGG TAAAGAGCTATTTCCACAGGATCTTCTGGACGACCTTCAATGTCTATCCATGTTTTGGCACTTGGGTCAA GTTGCATCATTGAGTCCTTAAGTGTCATCAACTGAGAATAGGTCAGCCCCGTTGGAAACCCCGCTGACTG TAAAGACTTGTTGGACCCAGCAGCACCCACTTTTTGTGGTTTTCCATCTGACTCGAGATCCACAGTAGTA TTCTCCCAAGCTCTACCCGCAATAGAAGTCCTTGAAGCTATGTAAGGCCAGCCGTCACCGGAAAGACAGA TCTTATAAAGTATGTTCTCGTAAGGGTTCCTCTCACCAGGTGTGTCTGAAACAAACATTCCCAAGGATCT TTTTACCTTTAAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCTCCTAAACTGAAGTTATAACCAGAAATGT TCAAGGAGCTCTTCTTGGTGTCCACCATATTCAGTATAGGATGGCTTTGGGAGAGTCTGTCCAGGTCGGA GCTATTTGGATACTTAGCTGTGTATATTAGACCCAGGTCTGTCAGTGCTAAGACGGCATCATTCAAATCA ACTTGACCTTGTTTGGTGAGACATGCTAATGTCAGACTAGGCATGGTGCCGAACTGGTTGTTCAGAAGAT CCGGGTTCTTAACATCCCACACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAAC CATGCCTATCATGTTCAGCAATGCTCTTCTTTGCTCAAGCTGCTGTGTACTTAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCTGCCAACGTCA ACAGGTCATCTGAGGTCAGGGTCCCAACTCTCAAGATGCTCTTTTGTTGCGTCGATTTGAGTTCTACAAG ATTGTTGACAGCCTGATTCAAATCTCTAAGACGTTTCAGATCACTATCATCCCTTTTTTGTTTGCGCATT AAGCGTTGCACATTGCTGACTTCAGAAAAGTCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTT GAAGTTTTATGCTGGAGCAATAACCTGAAAGCTCCCTCCTCAATGACTGTGTCCAGAGAAATGACTTCAC TTCCTTGGAAGCACTCATCTTAGTCTGGACACCTAGGGATTGACTGGTCAAAAGTTTCACTCAGTAAGTC AATGAAAGGCGCAATCCAGTAGCCTAGGATCCACTG ================================================ FILE: tests/input/TestFeatureTransfer/negative_strand_partial/expected/mapped.tbl ================================================ >Feature sample 550 >1 CDS note sequencing did not capture complete CDS product negative-strand-protein ================================================ FILE: tests/input/TestFeatureTransfer/negative_strand_partial/input/aligned_1.fasta ================================================ >TEST123.1 Synthetic test sequence for negative strand partial ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC >sample ------------------------------------------------------------ ------------------------------------------------------------ ------------------------------ATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCAT GCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCGC ================================================ FILE: tests/input/TestFeatureTransfer/negative_strand_partial/input/ref.fasta ================================================ >TEST123.1 Synthetic test sequence for negative strand partial ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGC ================================================ FILE: tests/input/TestFeatureTransfer/negative_strand_partial/input/ref.tbl ================================================ >Feature gb|TEST123.1| 700 100 CDS product negative-strand-protein protein_id gb|test001| ================================================ FILE: tests/input/TestFeatureTransfer/synthetic/expected/mapped.tbl ================================================ >Feature sample <1 99 CDS product should-be-output-if-not-ignore_ambig_feature_edge <1508 2740 CDS product should-output-with-fuzzy-lt-start-if-not-ignore_ambig_feature_edge 225 1703 CDS product one-complete-range-should-be-included 2740 >1508 gene gene neg-strand-should-be-present-fuzzy-gt-end 4000 4027 CDS 7000 7034 7500 7578 product three-ranges-all-output-sorted 4000 4027 CDS note sequencing did not capture all intervals comprising CDS product two-ranges-with-second-truncated-downstream 5379 5454 CDS note sequencing did not capture all intervals comprising CDS product only-5379-range-should-output 200 212 CDS product after-offset-should-be_200-212 ================================================ FILE: tests/input/TestFeatureTransfer/synthetic/input/aligned_1.fasta ================================================ >AY772699.1 HIV-1 isolate 04ZASK146B1 from South Africa, complete genome TACT-GTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA >sample T-CTGGTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA ================================================ FILE: tests/input/TestFeatureTransfer/synthetic/input/ref.fasta ================================================ >AY772699.1 HIV-1 isolate 04ZASK146B1 from South Africa, complete genome TCTGTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA ================================================ FILE: tests/input/TestFeatureTransfer/synthetic/input/ref.tbl ================================================ >Feature gb|AY772699.1| <1 99 CDS product should-be-output-if-not-ignore_ambig_feature_edge <1508 2740 CDS product should-output-with-fuzzy-lt-start-if-not-ignore_ambig_feature_edge 225 1703 CDS product one-complete-range-should-be-included 2740 >1508 gene gene neg-strand-should-be-present-fuzzy-gt-end 4000 4027 CDS 7500 7578 7000 7034 product three-ranges-all-output-sorted 4000 4027 CDS 7000 10000 product two-ranges-with-second-truncated-downstream 5379 5454 CDS 12000 12001 product only-5379-range-should-output protein_id gb|should-not-appear| 12002 12500 gene gene should-not-output [offset=100] 100 112 CDS product after-offset-should-be_200-212 ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_ignore_ambig_edges/expected/mapped.tbl ================================================ >Feature sample 1 99 CDS product should-be-output-if-not-ignore_ambig_feature_edge 1508 2740 CDS product should-output-with-fuzzy-lt-start-if-not-ignore_ambig_feature_edge 225 1703 CDS product one-complete-range-should-be-included 2740 1508 gene gene neg-strand-should-be-present-fuzzy-gt-end 4000 4027 CDS 7000 7034 7500 7578 product three-ranges-all-output-sorted 4000 4027 CDS note sequencing did not capture all intervals comprising CDS product two-ranges-with-second-truncated-downstream 5379 5454 CDS note sequencing did not capture all intervals comprising CDS product only-5379-range-should-output 200 212 CDS product after-offset-should-be_200-212 ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_ignore_ambig_edges/input/aligned_1.fasta ================================================ >AY772699.1 HIV-1 isolate 04ZASK146B1 from South Africa, complete genome TACT-GTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA >sample T-CTGGTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_ignore_ambig_edges/input/ref.fasta ================================================ >AY772699.1 HIV-1 isolate 04ZASK146B1 from South Africa, complete genome TCTGTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_ignore_ambig_edges/input/ref.tbl ================================================ >Feature gb|AY772699.1| <1 99 CDS product should-be-output-if-not-ignore_ambig_feature_edge <1508 2740 CDS product should-output-with-fuzzy-lt-start-if-not-ignore_ambig_feature_edge 225 1703 CDS product one-complete-range-should-be-included 2740 >1508 gene gene neg-strand-should-be-present-fuzzy-gt-end 4000 4027 CDS 7500 7578 7000 7034 product three-ranges-all-output-sorted 4000 4027 CDS 7000 10000 product two-ranges-with-second-truncated-downstream 5379 5454 CDS 12000 12001 product only-5379-range-should-output protein_id gb|should-not-appear| 12002 12500 gene gene should-not-output [offset=100] 100 112 CDS product after-offset-should-be_200-212 ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_oob_clip/expected/mapped.tbl ================================================ >Feature sample <1 99 CDS product should-be-output-if-not-ignore_ambig_feature_edge <1508 2740 CDS product should-output-with-fuzzy-lt-start-if-not-ignore_ambig_feature_edge 225 1703 CDS product one-complete-range-should-be-included 2740 >1508 gene gene neg-strand-should-be-present-fuzzy-gt-end 4000 4027 CDS 7000 7034 7500 7578 product three-ranges-all-output-sorted 4000 4027 CDS 7000 >9012 note sequencing did not capture complete CDS product two-ranges-with-second-truncated-downstream 5379 5454 CDS note sequencing did not capture all intervals comprising CDS product only-5379-range-should-output 200 212 CDS product after-offset-should-be_200-212 ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_oob_clip/input/aligned_1.fasta ================================================ >AY772699.1 HIV-1 isolate 04ZASK146B1 from South Africa, complete genome TACT-GTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA >sample T-CTGGTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_oob_clip/input/ref.fasta ================================================ >AY772699.1 HIV-1 isolate 04ZASK146B1 from South Africa, complete genome TCTGTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA ================================================ FILE: tests/input/TestFeatureTransfer/synthetic_oob_clip/input/ref.tbl ================================================ >Feature gb|AY772699.1| <1 99 CDS product should-be-output-if-not-ignore_ambig_feature_edge <1508 2740 CDS product should-output-with-fuzzy-lt-start-if-not-ignore_ambig_feature_edge 225 1703 CDS product one-complete-range-should-be-included 2740 >1508 gene gene neg-strand-should-be-present-fuzzy-gt-end 4000 4027 CDS 7500 7578 7000 7034 product three-ranges-all-output-sorted 4000 4027 CDS 7000 10000 product two-ranges-with-second-truncated-downstream 5379 5454 CDS 12000 12001 product only-5379-range-should-output protein_id gb|should-not-appear| 12002 12500 gene gene should-not-output [offset=100] 100 112 CDS product after-offset-should-be_200-212 ================================================ FILE: tests/input/TestFilterLastal/expected.fastq ================================================ @ebola:1000-1067 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGA +ebola:1000-1067 CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD @ebola:2000-2067_with_insertion_deletion_N_and_SNP AGCCAAAAGGGCCAGCATATAGAGGGCAGAAGACACAATCCCAGGCCAATTCAAAATGTCCCANGCCC +ebola:2000-2067_with_insertion_deletion_N_and_SNP CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD @ebola:1000-1066_with_description XXX length=101 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTG +ebola:1000-1066_with_description XXX length=101 CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD ================================================ FILE: tests/input/TestFilterLastal/in.fastq ================================================ @ebola:1000-1067 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGA + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD @human:chr19:1000000-1000067 CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD @ebola:2000-2067_with_insertion_deletion_N_and_SNP AGCCAAAAGGGCCAGCATATAGAGGGCAGAAGACACAATCCCAGGCCAATTCAAAATGTCCCANGCCC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD @ebola:1000-1066_with_description XXX length=101 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTG + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD ================================================ FILE: tests/input/TestGap2Seq/expected.ebov.doublehit.gapfill.fasta ================================================ >KJ660346.2_contigs_ordered_and_oriented CTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGTC TCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCC TTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAA CATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACTT TGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAA AACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTC TCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAA GATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGT GTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGG TGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTA CCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGG GTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGC AGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGAC TGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGT AGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGG ACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTT GATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGC CGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGG TCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCG TCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGC ACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTC TGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGT CGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCT CAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACT TGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAA GAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGC CAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGA TGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGA TGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGATGA TGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTT GGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGAC CAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACA ATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCC ACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGAC CCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCC GCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCAC TGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGA TGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCA GCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGA TGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGG TAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAA AGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCC AGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCAT GTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAAC AGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTT TTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAA TGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCG ATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATT TACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCC TTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCT GGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAA ACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAA GGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCAT CCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACC CAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTG TGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATG GTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTG AGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTG CGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATG AAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTA GGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAAC CTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAA CTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGG ACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCC TAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACA TCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCAT CACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTG GACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTT CAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGA TAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAA GATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACC CAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCAT TAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGC CTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTG CTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTC CATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAG GCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAG TGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACA GCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCA AGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCC TCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCC AACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGC CTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAA TTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGA ACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACT TTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTC TGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTG TTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAA TCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGT AATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACAT CTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGC TTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATA CCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTA CTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTT ATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGAT GTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTC TTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCT CTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCA AAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATAT TGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTT TCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTG ATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTG GACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGG GCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAA ACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAG ACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCAT GTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTT CCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGC CCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGG AGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAA CTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAA GATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGA GCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGG AGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTC TTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTC TTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTC CTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAAC CCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAG CACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACA TCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGC CGGACCCTTAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGC CACCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCA AGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGC TGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGC TCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAAT CGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCT AATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCA AGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCG TAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGA CTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTAT TCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGG ATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGC TTTATTCTGTATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAAC TCAACCTCAAATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTAC TTGACAAATGATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCC TTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAA TGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCC TTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAG TTGTAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCA TTGGTAAAAAAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCT TCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCAC CATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGG AGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACA GTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGT AGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTA ATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGAC TCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCCAAAATTACC TTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGAG GATTCCAAATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAA TCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAG GCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAA GCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTG AATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACA TTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCT GATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACA ATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCA GTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAA GAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGCTCGCAAT ATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACT CTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATG ATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGG AGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATAT TGTTCTTGTTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAAT GCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCA TCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCTGT ATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACAC ATCTCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAG TGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTA CAACGAACATTACTTTGAGCACCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATC GAGCGCAAGGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAG ACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATA TCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTT AGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCAC AAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATG ACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTG TGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTG ATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACT AACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCG TTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAAC TACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACT CGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGC AAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACA CAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATC TAACTAAGATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACT TGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTT GATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCT TACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATT GCTTTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTG TAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCA TACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAA ACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATAT TAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTG GACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATCCG CAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTT ACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATT CTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTC TTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAA AATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCA ATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACT CGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATTTA ATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCA CTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAA GAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATG TGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTT GAGGACCCAGTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGC GGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAA CCATTGTGCTTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGGCCGATTC TTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCA CTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAG ATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTG CTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTA CGCCCTATCGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTAT TTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTT AATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTATGG GAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGT ATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAG CCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAA TTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAG TATCTACTACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTA GGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCT CTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGT GAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGT GAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCA TTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAG AATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTAT TATAATCCACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGT TCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATT TCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTG ATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGC GAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTT ACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATC TATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCT ACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGT ATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATA ACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTT AATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATA TCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAA TGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTAT CTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAAC TGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGAC TTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAA CTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGTGG CTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCG AGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCT AAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTG CAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCT TTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCA CATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTC AAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACCT GGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAAT GCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAA GATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCC ATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTA ATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACC CCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCT TTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTTA GGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTT ATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATC CAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAG TACTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATTG ATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCA TTTTTCCAAGGCAAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTA TCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAATAATTCG TCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTAT CCCAAAATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACA ATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATT CATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTT ATGTCACGATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGT GACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTT ACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATAT CCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTG CTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACAT CCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCA TTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCT TCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACC ACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATA AAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCTA AGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAAT GTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACAT CGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAAT GAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGAT ACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAG GTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCT GGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTCTTCAACACGCTAGCT ACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTA CCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGC CAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGG CAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTG TACGAAGCTGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTG GTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCC CCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAG TGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCAT CTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATAC TGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTT GGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGA GGTCCACTAGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTG ACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACT GCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACAA GCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGT GTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAA ACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGG CTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATT TTGATACTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCT CATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTA CATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAGC ATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTT ATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTAT CAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACT GATCTTTAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGG TGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGT CTAGTAAGCTACTATTCCATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAA TCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAAT TAAGGCATTGACCACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATCCC TGGAAAAATGGTCACACACAAAAAAGAAGAAATAGATTTATTTTTAAATTTTTGTGTG ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610675.1.gb ================================================ LOCUS JQ610675 3942 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 1, complete sequence. ACCESSION JQ610675 VERSION JQ610675.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 3942) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 3942) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..3942 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="1" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..3921 /note="RNA-dependent RNA polymerase" /codon_start=1 /product="VP1" /protein_id="AFX73387.1" /translation="MVITVEGAWLVRRALQRFLKFSKIDGESAVYEFYRYSSNIREIR RKHGTRYKMHDEELERRRDSGKLRFKGMQVVVESTWMEILGKGRTTDEIEIFRSSILS LDELNPEEEFLRNYASSDKEHPSYLFVRGRAVNEMQIYGDMPIKAWLSFLVECEVEYG YKLFGMEVARSFVQSFGSPFHQNSRDLSQIDDMAPAFTSPLLFEMCCMTSILEINIRM RMLEERVATLKFGEREIDPLEVLKEFFRICIPHPKKINNMLRAPYSWFVKLWGVSYHE PIVLTARGGEDKNSKDIFFTGFHRVKNPYSIMLKKSRFFKKSLDENISKVKEAIDYSN SLTGMSLGLPVFLSMLQNVYDTEFNPTMVQHVLLASFLLSIQTITGYGRAWVKNVSSD NDTQMRPAEDNFIDRVAKQTEINFIQAYEEALGHGEDIVKPEDMFTSILRLARNTSSG FSTAVDVYKRFGPKSGGRGERVKITSRIKALVIFTKGHEIFTAENLAKRYDTEEDYQT KGSRDVPIKATRTIYSINLSILIPQLILTLPLNEYFARFGGSTAPDSRSLGGKVIIGD LEATGSRTIDAADTFRNSSDPEIFTIAIDYSDYDQHLTVFNFRNGMLEGIRSAMKRYK ELRYDGYTLNELIEFGYGEGRIVNSKWNGKRRVKSVRMSDYMALSESQRAQGTFKPPQ GVRPVSSMQVFDSVGEASGGDTLLISPTDGSDLATVNTHLSGENSTLVANSLHNMAIG RIIQEEIRKNHRAAFTFESEQYVGDDTLLYAKLNTLNHEIFDKAIDTIFDTVGKCGHV ASAAKTLIAPFSVEKTQTHAKQGIYIAQDRMMIISSERRKDIEDVQGYMRSQVSVMAT KVSRGFSHELAQLVFMMKSSIVGFRKLKRTVVEDGVYRDRALDSEDEDGFTLMQIRDP LVAFYPAEWNGYGMHPVALNIVMTEDMFIDTSTMVEFQHVMRPLLRFMGRIPPVWNET KADKRQISSITKMSFFSKMARPAVRAVLANSELSDQVRTLPLGDFSPFNLSATMMHSA LLKEPRARALLTPAYEKEFQSELNSNRDSEVNFVGRNMEINTNYMKLFDVDLSTRIVA KQFSFPDQNMSLPFYFQKLLIGHRPVARMRMTYIDRIDQILRGDVVMRGFITANTIMS VLEKIGTAHAVQDLTTIFQLMNIESKVAHRLAEYIASERVRFDALSIAKRGICGDEFS MSLDVCTERFAERFMELPAQFTKTERDIAILYAAQLTMLRCAANLDLRKIKIGVSADH VKRFKQRQARFKTHLPKMRTVTRLITPERISARLVQHQFT" ORIGIN 1 gtataattag gaatggtcat cactgtggaa ggtgcgtggc tggtgagacg ggcgttgcaa 61 cgttttttga agttcagtaa aatcgacggg gaatcagcag tttatgagtt ctataggtat 121 tcaagtaata ttcgtgaaat aagaaggaag catgggacgc gttataaaat gcatgatgaa 181 gagttggagc ggaggcgtga ttcgggcaaa ctgcgtttta aaggtatgca agttgtggta 241 gagtcgactt ggatggagat tttagggaag ggacgtacga cggacgaaat cgagatattc 301 agaagttcga ttttatcgtt ggatgaactg aatccggaag aagaatttct gcgcaattat 361 gcgagttcgg acaaggaaca tccatcctac ttgtttgttc gggggcgggc ggtcaatgag 421 atgcagattt atggcgacat gccgataaaa gcgtggttga gctttttagt agaatgtgag 481 gttgaatatg ggtacaaact cttcggaatg gaagttgcga gatcgttcgt tcagagcttt 541 ggatctccgt ttcaccagaa ctcgcgtgat ctatcacaga ttgacgatat ggcgcctgct 601 tttacgtcac ctttattatt tgaaatgtgt tgtatgacat caattctcga aattaatata 661 cgcatgcgta tgctggagga gagggttgca accctaaaat ttggtgagcg ggagatcgac 721 ccacttgaag tactaaaaga attcttccga atctgcattc cgcatccgaa aaagattaat 781 aatatgttga gagctccata ctcatggttc gtcaagctgt ggggcgtatc gtatcatgag 841 ccaatagtcc tgacggcgag gggcggcgag gataagaact cgaaagacat attctttacg 901 ggatttcaca gagtcaagaa tccatactca ataatgttga aaaaatcgag gttttttaag 961 aaatctttag acgagaatat cagcaaagtg aaagaagcga tagactattc aaactcgttg 1021 acggggatgt ctttagggct gcccgtattt ctatccatgc tacagaatgt gtacgacact 1081 gagtttaatc cgactatggt tcaacacgtg ttactagcgt cgttcttgtt gagtatccaa 1141 acaataactg gctatggacg cgcttgggtg aaaaatgtgt caagcgataa cgacactcaa 1201 atgcgcccgg cggaggacaa cttcattgat cgagttgcta agcaaacgga gattaatttt 1261 atacaggcgt atgaagaggc gttggggcac ggagaagata tcgttaagcc agaagacatg 1321 tttacctcca ttttgcgttt ggcaagaaat acaagttccg gcttctctac tgctgttgac 1381 gtttataaac gattcggtcc aaagtcggga gggagaggag aacgcgttaa gataacatca 1441 agaattaaag cattagttat cttcacaaag ggccatgaaa tatttacagc tgaaaatctc 1501 gcgaaaagat atgatacgga ggaagattac cagactaaag ggtcacggga tgtacctatc 1561 aaagcaacgc ggacgattta ttcaataaac ctctccatct tgatcccgca gctgatccta 1621 actttaccgt tgaatgaata ttttgcccgg ttcggaggat caactgcacc tgactcacgt 1681 agcctagggg gtaaggtgat tatcggagat ctagaagcaa cgggatcacg gacgatcgat 1741 gcggcagata cgtttagaaa ttcgtccgac ccagaaattt tcacaatagc gatcgattat 1801 tcggattacg atcaacattt gacggttttt aacttcagga acggtatgct ggaaggaatt 1861 cgctctgcga tgaagagata taaagagttg aggtatgatg gatacacgtt gaatgaattg 1921 attgaattcg ggtatgggga ggggagaatt gttaattcga aatggaacgg aaagaggcgg 1981 gtcaaatctg tacgaatgag cgattatatg gcattgagtg aaagtcaacg cgctcagggc 2041 actttcaagc cgccgcaggg agtgagaccg gttagttcaa tgcaagtgtt cgattcagtg 2101 ggtgaggcat ctggagggga tactctcctc atctcgccca ctgacggatc ggatttagca 2161 accgtcaaca cgcatttgtc gggtgaaaat tcaacgttag ttgctaactc tttgcataat 2221 atggctatcg gacgtatcat acaagaagag atcagaaaga accatcgagc ggcttttacc 2281 tttgaatctg agcagtacgt tggagatgat acgttacttt atgcaaagtt gaacacatta 2341 aaccatgaaa tttttgataa agcgattgat accatcttcg atactgtggg aaagtgcgga 2401 catgtggcat cggcagcgaa aacccttatc gctcctttct ctgttgaaaa aactcagact 2461 catgcgaagc aaggaattta cattgcgcag gatcggatga tgatcatctc ttcagagcgt 2521 agaaaggata tcgaggacgt ccaagggtat atgagatcac aagtgtcggt tatggcgaca 2581 aaagtaagcc gcggctttag tcatgaactg gctcagcttg tctttatgat gaagagcagc 2641 atcgtaggct ttcgtaaact gaagcgaact gtggtggagg atggtgtata ccgtgatcgc 2701 gcgttggatt cggaagatga ggatggcttc actttgatgc agatccgtga tccgttggtc 2761 gccttctacc ctgctgagtg gaacggctat ggcatgcatc cagtcgcttt gaatatcgtc 2821 atgacggaag acatgtttat agacacgagt accatggttg agtttcagca tgtaatgcgg 2881 ccgctccttc gatttatggg taggatacct ccagtgtgga atgaaactaa agccgataaa 2941 cgtcagattt catccataac aaagatgagt ttcttctcca aaatggctag accagcggtg 3001 agggcggttc tggcgaatag tgaactgtca gatcaagtga gaacattgcc actgggcgac 3061 ttttcgcctt tcaatctctc cgcaacaatg atgcactcag cattattgaa agaaccacgc 3121 gcgcgtgccc tgctgacgcc agcctacgaa aaagaattcc agtcagagtt gaattcaaac 3181 cgggatagcg aagtaaattt cgtcgggagg aacatggaga tcaacactaa ttatatgaaa 3241 ctgttcgatg ttgatttgtc tacgcgaata gtggccaaac aatttagttt tccagatcag 3301 aatatgtcgt tgccttttta ttttcagaaa ctcttgattg gacatagacc ggtcgcgcgg 3361 atgagaatga cctatattga ccggattgac caaatcttac ggggagacgt cgtgatgagg 3421 ggtttcatca cagcgaatac tattatgtcc gttttagaga agattggcac tgctcacgcc 3481 gtacaggact taacaacaat atttcagttg atgaacattg aatctaaggt ggcgcatagg 3541 ctagcggagt atatcgcttc tgaaagggta agattcgacg cgctctcgat tgcaaagagg 3601 gggatatgcg gggatgaatt ctccatgtcg ctggatgtgt gcacggaacg gtttgctgaa 3661 cggttcatgg aactaccagc gcagtttact aaaactgaga gagatatagc gattttatat 3721 gccgcgcagc taactatgtt gcgctgtgcg gctaacctag atcttaggaa aattaagatt 3781 ggggtttcag cggatcacgt taagagattt aaacaaagac aggctagatt taagactcat 3841 ctacctaaaa tgcgtacagt cacgcggctg ataacgcctg aacgaatctc cgcacgcctg 3901 gttcagcatc agtttacatg acgcaccacc taatcaactt ac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610675.1.gbk ================================================ LOCUS JQ610675 3942 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 1, complete sequence. ACCESSION JQ610675 VERSION JQ610675.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 3942) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 3942) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..3942 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="1" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..3921 /note="RNA-dependent RNA polymerase" /codon_start=1 /product="VP1" /protein_id="AFX73387.1" /translation="MVITVEGAWLVRRALQRFLKFSKIDGESAVYEFYRYSSNIREIR RKHGTRYKMHDEELERRRDSGKLRFKGMQVVVESTWMEILGKGRTTDEIEIFRSSILS LDELNPEEEFLRNYASSDKEHPSYLFVRGRAVNEMQIYGDMPIKAWLSFLVECEVEYG YKLFGMEVARSFVQSFGSPFHQNSRDLSQIDDMAPAFTSPLLFEMCCMTSILEINIRM RMLEERVATLKFGEREIDPLEVLKEFFRICIPHPKKINNMLRAPYSWFVKLWGVSYHE PIVLTARGGEDKNSKDIFFTGFHRVKNPYSIMLKKSRFFKKSLDENISKVKEAIDYSN SLTGMSLGLPVFLSMLQNVYDTEFNPTMVQHVLLASFLLSIQTITGYGRAWVKNVSSD NDTQMRPAEDNFIDRVAKQTEINFIQAYEEALGHGEDIVKPEDMFTSILRLARNTSSG FSTAVDVYKRFGPKSGGRGERVKITSRIKALVIFTKGHEIFTAENLAKRYDTEEDYQT KGSRDVPIKATRTIYSINLSILIPQLILTLPLNEYFARFGGSTAPDSRSLGGKVIIGD LEATGSRTIDAADTFRNSSDPEIFTIAIDYSDYDQHLTVFNFRNGMLEGIRSAMKRYK ELRYDGYTLNELIEFGYGEGRIVNSKWNGKRRVKSVRMSDYMALSESQRAQGTFKPPQ GVRPVSSMQVFDSVGEASGGDTLLISPTDGSDLATVNTHLSGENSTLVANSLHNMAIG RIIQEEIRKNHRAAFTFESEQYVGDDTLLYAKLNTLNHEIFDKAIDTIFDTVGKCGHV ASAAKTLIAPFSVEKTQTHAKQGIYIAQDRMMIISSERRKDIEDVQGYMRSQVSVMAT KVSRGFSHELAQLVFMMKSSIVGFRKLKRTVVEDGVYRDRALDSEDEDGFTLMQIRDP LVAFYPAEWNGYGMHPVALNIVMTEDMFIDTSTMVEFQHVMRPLLRFMGRIPPVWNET KADKRQISSITKMSFFSKMARPAVRAVLANSELSDQVRTLPLGDFSPFNLSATMMHSA LLKEPRARALLTPAYEKEFQSELNSNRDSEVNFVGRNMEINTNYMKLFDVDLSTRIVA KQFSFPDQNMSLPFYFQKLLIGHRPVARMRMTYIDRIDQILRGDVVMRGFITANTIMS VLEKIGTAHAVQDLTTIFQLMNIESKVAHRLAEYIASERVRFDALSIAKRGICGDEFS MSLDVCTERFAERFMELPAQFTKTERDIAILYAAQLTMLRCAANLDLRKIKIGVSADH VKRFKQRQARFKTHLPKMRTVTRLITPERISARLVQHQFT" ORIGIN 1 gtataattag gaatggtcat cactgtggaa ggtgcgtggc tggtgagacg ggcgttgcaa 61 cgttttttga agttcagtaa aatcgacggg gaatcagcag tttatgagtt ctataggtat 121 tcaagtaata ttcgtgaaat aagaaggaag catgggacgc gttataaaat gcatgatgaa 181 gagttggagc ggaggcgtga ttcgggcaaa ctgcgtttta aaggtatgca agttgtggta 241 gagtcgactt ggatggagat tttagggaag ggacgtacga cggacgaaat cgagatattc 301 agaagttcga ttttatcgtt ggatgaactg aatccggaag aagaatttct gcgcaattat 361 gcgagttcgg acaaggaaca tccatcctac ttgtttgttc gggggcgggc ggtcaatgag 421 atgcagattt atggcgacat gccgataaaa gcgtggttga gctttttagt agaatgtgag 481 gttgaatatg ggtacaaact cttcggaatg gaagttgcga gatcgttcgt tcagagcttt 541 ggatctccgt ttcaccagaa ctcgcgtgat ctatcacaga ttgacgatat ggcgcctgct 601 tttacgtcac ctttattatt tgaaatgtgt tgtatgacat caattctcga aattaatata 661 cgcatgcgta tgctggagga gagggttgca accctaaaat ttggtgagcg ggagatcgac 721 ccacttgaag tactaaaaga attcttccga atctgcattc cgcatccgaa aaagattaat 781 aatatgttga gagctccata ctcatggttc gtcaagctgt ggggcgtatc gtatcatgag 841 ccaatagtcc tgacggcgag gggcggcgag gataagaact cgaaagacat attctttacg 901 ggatttcaca gagtcaagaa tccatactca ataatgttga aaaaatcgag gttttttaag 961 aaatctttag acgagaatat cagcaaagtg aaagaagcga tagactattc aaactcgttg 1021 acggggatgt ctttagggct gcccgtattt ctatccatgc tacagaatgt gtacgacact 1081 gagtttaatc cgactatggt tcaacacgtg ttactagcgt cgttcttgtt gagtatccaa 1141 acaataactg gctatggacg cgcttgggtg aaaaatgtgt caagcgataa cgacactcaa 1201 atgcgcccgg cggaggacaa cttcattgat cgagttgcta agcaaacgga gattaatttt 1261 atacaggcgt atgaagaggc gttggggcac ggagaagata tcgttaagcc agaagacatg 1321 tttacctcca ttttgcgttt ggcaagaaat acaagttccg gcttctctac tgctgttgac 1381 gtttataaac gattcggtcc aaagtcggga gggagaggag aacgcgttaa gataacatca 1441 agaattaaag cattagttat cttcacaaag ggccatgaaa tatttacagc tgaaaatctc 1501 gcgaaaagat atgatacgga ggaagattac cagactaaag ggtcacggga tgtacctatc 1561 aaagcaacgc ggacgattta ttcaataaac ctctccatct tgatcccgca gctgatccta 1621 actttaccgt tgaatgaata ttttgcccgg ttcggaggat caactgcacc tgactcacgt 1681 agcctagggg gtaaggtgat tatcggagat ctagaagcaa cgggatcacg gacgatcgat 1741 gcggcagata cgtttagaaa ttcgtccgac ccagaaattt tcacaatagc gatcgattat 1801 tcggattacg atcaacattt gacggttttt aacttcagga acggtatgct ggaaggaatt 1861 cgctctgcga tgaagagata taaagagttg aggtatgatg gatacacgtt gaatgaattg 1921 attgaattcg ggtatgggga ggggagaatt gttaattcga aatggaacgg aaagaggcgg 1981 gtcaaatctg tacgaatgag cgattatatg gcattgagtg aaagtcaacg cgctcagggc 2041 actttcaagc cgccgcaggg agtgagaccg gttagttcaa tgcaagtgtt cgattcagtg 2101 ggtgaggcat ctggagggga tactctcctc atctcgccca ctgacggatc ggatttagca 2161 accgtcaaca cgcatttgtc gggtgaaaat tcaacgttag ttgctaactc tttgcataat 2221 atggctatcg gacgtatcat acaagaagag atcagaaaga accatcgagc ggcttttacc 2281 tttgaatctg agcagtacgt tggagatgat acgttacttt atgcaaagtt gaacacatta 2341 aaccatgaaa tttttgataa agcgattgat accatcttcg atactgtggg aaagtgcgga 2401 catgtggcat cggcagcgaa aacccttatc gctcctttct ctgttgaaaa aactcagact 2461 catgcgaagc aaggaattta cattgcgcag gatcggatga tgatcatctc ttcagagcgt 2521 agaaaggata tcgaggacgt ccaagggtat atgagatcac aagtgtcggt tatggcgaca 2581 aaagtaagcc gcggctttag tcatgaactg gctcagcttg tctttatgat gaagagcagc 2641 atcgtaggct ttcgtaaact gaagcgaact gtggtggagg atggtgtata ccgtgatcgc 2701 gcgttggatt cggaagatga ggatggcttc actttgatgc agatccgtga tccgttggtc 2761 gccttctacc ctgctgagtg gaacggctat ggcatgcatc cagtcgcttt gaatatcgtc 2821 atgacggaag acatgtttat agacacgagt accatggttg agtttcagca tgtaatgcgg 2881 ccgctccttc gatttatggg taggatacct ccagtgtgga atgaaactaa agccgataaa 2941 cgtcagattt catccataac aaagatgagt ttcttctcca aaatggctag accagcggtg 3001 agggcggttc tggcgaatag tgaactgtca gatcaagtga gaacattgcc actgggcgac 3061 ttttcgcctt tcaatctctc cgcaacaatg atgcactcag cattattgaa agaaccacgc 3121 gcgcgtgccc tgctgacgcc agcctacgaa aaagaattcc agtcagagtt gaattcaaac 3181 cgggatagcg aagtaaattt cgtcgggagg aacatggaga tcaacactaa ttatatgaaa 3241 ctgttcgatg ttgatttgtc tacgcgaata gtggccaaac aatttagttt tccagatcag 3301 aatatgtcgt tgccttttta ttttcagaaa ctcttgattg gacatagacc ggtcgcgcgg 3361 atgagaatga cctatattga ccggattgac caaatcttac ggggagacgt cgtgatgagg 3421 ggtttcatca cagcgaatac tattatgtcc gttttagaga agattggcac tgctcacgcc 3481 gtacaggact taacaacaat atttcagttg atgaacattg aatctaaggt ggcgcatagg 3541 ctagcggagt atatcgcttc tgaaagggta agattcgacg cgctctcgat tgcaaagagg 3601 gggatatgcg gggatgaatt ctccatgtcg ctggatgtgt gcacggaacg gtttgctgaa 3661 cggttcatgg aactaccagc gcagtttact aaaactgaga gagatatagc gattttatat 3721 gccgcgcagc taactatgtt gcgctgtgcg gctaacctag atcttaggaa aattaagatt 3781 ggggtttcag cggatcacgt taagagattt aaacaaagac aggctagatt taagactcat 3841 ctacctaaaa tgcgtacagt cacgcggctg ataacgcctg aacgaatctc cgcacgcctg 3901 gttcagcatc agtttacatg acgcaccacc taatcaactt ac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610676.1.gb ================================================ LOCUS JQ610676 2933 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 2, complete sequence. ACCESSION JQ610676 VERSION JQ610676.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2933) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2933) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2933 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="2" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..2899 /note="T2 protein" /codon_start=1 /product="VP2" /protein_id="AFX73388.1" /translation="MAFERTVALTREFANETRQHFGKFDIVVNTESSIEDEATGEWEF ARSDGRLGIYEELHNSIAYKHYTAILKGPENYLNIPQIFESKIYKNLNRDDLLARYDY SQILRFRDSKIAGRLRMQTYFGDVHVSAGLIDCVAMVREPIRREGCQHMMVRSFDLMN AGQFFDVHAPKIHAFDDTVIVESMDIENGVWRVKAGGVGLKTLQEKAEGILGDSVLDL VHNYLSQKWDAGYVAAKLLRFDETYKFHPIHEVGIFNTLMIRMGQLDDAYRDGFFDYD EIHAQLMRDVTFQYPEGKPVFRRDGQFFKNLVQYSGRAKIGYETYLPDRELWTEWRTR SSVQDVVPKYMEWLIGRLQLGKMLKIMSELPADVTMPNYLLKAITYKSSVYVKRLILT YIALRMTFGRCPVNKKGTLASSVLGFLHAVIPNLEEFLRKAGITDELCVKMEFTPRLT VMEREDRKSDRYAVVLQVYRERKLEVFTPIDSDLFEDRKKYYDEILKDKRWRGEETDY FFKDSGIHRSQVAGLSAEQLTLKKLGRDSDFNDPKRFVSYRYRYVSVKAGDIYAEGES VITGPLLTLIPHAYEFGRVSLIAGQSRDQSKLDNVPVYRDHMKSLELNGVEVGYDTWC PSGRAVQVNLELISTILYNAFKRPIVKGALCHFGMWEFYNPRRPAYESVDVTIMNAIS DITGSKRWAYQEIQDWLARFIKGSRVDMVTHRFHGVTKKPTTRGEIWIWNLLLVLISN PSLVVSQTDKFPLWVCASDGLHLISTGVRHTDHFRLWEWLPYTEKIGNDDYMSVLATD RELRLFEIALEYFETIRIGYRRDEWTHLKSNMFNTWLGTHCGGVGDGMILFDPVRLPS PSSVLYLICSHNSTLEGMMYLLHDIYGKIVEENTGTVFIRVHARGCKCSVCRGGLQGV DVKNRSAMRVRSMPGNIGFDSVNLILSTSTTSAFGNSYIYFKLINR" ORIGIN 1 gtataattga tccgcgatgg ctttcgagcg tacggtagcc ttaacaagag agttcgcaaa 61 tgaaacaaga cagcattttg ggaagtttga tatagttgta aacacggaaa gcagtattga 121 ggacgaagca acgggtgagt gggagttcgc acgaagtgat gggcggcttg gcatctatga 181 agaattgcat aatagcatcg cttataaaca ttatacggcg atactaaaag ggccggaaaa 241 ttatttgaat attccgcaga tttttgagtc gaaaatctat aagaatttga atagggatga 301 tctattggcg agatatgatt attcacaaat actaagattc cgagatagta agatagcggg 361 ccgattgagg atgcagacgt atttcgggga cgtgcatgta agtgcgggac tgatagattg 421 tgtagcgatg gttcgtgagc ctattagaag ggaagggtgt cagcatatga tggtacgtag 481 ttttgatttg atgaatgcgg gccagttttt cgatgttcat gcgccgaaga tccacgcgtt 541 tgatgacacg gtgatagttg aaagcatgga catcgaaaac ggagtatggc gcgtaaaggc 601 gggtggcgta ggtttgaaaa cgctgcagga aaaagcggaa ggaatactcg gagattcagt 661 gttagactta gtccacaact atctcagcca aaagtgggac gcaggttatg tggccgcgaa 721 gttgctgagg tttgatgaga catataaatt tcatccaatt catgaggtgg gaattttcaa 781 cacattgatg atacgcatgg gtcaactcga tgacgcgtat agggatgggt tcttcgatta 841 tgacgagatt cacgctcaat tgatgaggga tgtgactttt cagtacccag aaggtaagcc 901 agtctttcgg agagatggcc aattctttaa aaacctagtg cagtattcgg gacgggcgaa 961 gattgggtat gagacgtatt taccagacag ggaattgtgg actgaatggc gaacgagatc 1021 atccgtgcaa gatgttgtac ccaagtatat ggaatggttg ataggtagat tacagttggg 1081 gaaaatgctt aaaataatgt cggaattacc agcggatgtt acgatgccca actatctttt 1141 gaaagccatt acatataaat cgagtgtata tgttaagaga ttgatactca cgtacatcgc 1201 tttacgaatg acgtttggac ggtgtccagt aaacaaaaaa ggaacgcttg cctcatcagt 1261 cttaggtttt ctacacgcgg ttattccgaa tctggaggaa tttctgagga aagcgggaat 1321 aacggatgaa ctatgtgtta aaatggagtt tacgccgaga cttactgtga tggagagaga 1381 ggataggaag tcagacagat acgccgttgt cttgcaagtt tatagggaga ggaagctgga 1441 ggtttttacg cctatagact cagacttgtt cgaagatcgg aaaaagtact atgacgagat 1501 cttgaaagat aaaagatggc gtggagaaga gactgattat ttttttaaag actcagggat 1561 acaccggtcc caggtggctg ggttgagcgc agagcagctc acgttgaaaa agttaggacg 1621 cgactcagat ttcaacgacc ctaaacggtt cgtttcatac agatatagat atgtatcagt 1681 taaagcggga gatatctatg cagaagggga gagcgttata acgggaccat tattgacact 1741 gattccacat gcctacgagt tcggacgagt atctttgatt gcggggcagt ctcgagatca 1801 atcaaagttg gataatgtcc cagtctaccg tgaccacatg aaatccttgg agttaaatgg 1861 cgtcgaagtt ggctatgaca cttggtgtcc gtcggggcgt gcagtacaag ttaacttgga 1921 gttgatatct accatcctgt ataacgcgtt caaacgtccc atcgttaagg gagcattatg 1981 tcacttcggt atgtgggaat tttataaccc gagacgtccc gcgtatgagt cagtagacgt 2041 gacaatcatg aatgcgatct cggatatcac tgggagcaaa agatgggcat atcaggaaat 2101 tcaagattgg ttggcgagat ttattaaggg gtcacgggtt gacatggtga cacaccgctt 2161 ccacggggta acgaagaagc caacaactcg aggtgagata tggatctgga acctactact 2221 agttttgatc tcaaatccca gtctggtggt atcacaaacg gataaatttc ccttatgggt 2281 ttgcgcctct gatggcttac acctgattag tacgggagtg aggcataccg atcattttag 2341 actttgggag tggctaccat ataccgaaaa aattgggaac gacgattata tgtcggttct 2401 cgccacagat agagagttgc ggcttttcga aatcgcgttg gaatacttcg agactatacg 2461 cattggatat aggagagatg aatggacgca tttgaaatcg aacatgttta atacctggct 2521 ggggacgcat tgtgggggtg taggggacgg gatgatattg tttgacccgg tgagattacc 2581 atccccgagc agcgtccttt atttgatctg ttcgcataac tcaactttag aaggaatgat 2641 gtatttacta catgatatat acgggaagat cgttgaagag aatactggta ctgttttcat 2701 aagggtacac gcgcgaggtt gtaagtgctc ggtgtgccga gggggtttac agggagttga 2761 cgtaaagaat aggtcagcta tgcgtgttcg tagtatgcca gggaacatcg gcttcgattc 2821 agtcaaccta attctttcaa catcaacgac gagcgcgttt gggaactctt acatttactt 2881 taagcttatt aatcgttagt gaggtgacac tcgctccgcg atcacgcaga tac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610676.1.gbk ================================================ LOCUS JQ610676 2933 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 2, complete sequence. ACCESSION JQ610676 VERSION JQ610676.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2933) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2933) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2933 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="2" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..2899 /note="T2 protein" /codon_start=1 /product="VP2" /protein_id="AFX73388.1" /translation="MAFERTVALTREFANETRQHFGKFDIVVNTESSIEDEATGEWEF ARSDGRLGIYEELHNSIAYKHYTAILKGPENYLNIPQIFESKIYKNLNRDDLLARYDY SQILRFRDSKIAGRLRMQTYFGDVHVSAGLIDCVAMVREPIRREGCQHMMVRSFDLMN AGQFFDVHAPKIHAFDDTVIVESMDIENGVWRVKAGGVGLKTLQEKAEGILGDSVLDL VHNYLSQKWDAGYVAAKLLRFDETYKFHPIHEVGIFNTLMIRMGQLDDAYRDGFFDYD EIHAQLMRDVTFQYPEGKPVFRRDGQFFKNLVQYSGRAKIGYETYLPDRELWTEWRTR SSVQDVVPKYMEWLIGRLQLGKMLKIMSELPADVTMPNYLLKAITYKSSVYVKRLILT YIALRMTFGRCPVNKKGTLASSVLGFLHAVIPNLEEFLRKAGITDELCVKMEFTPRLT VMEREDRKSDRYAVVLQVYRERKLEVFTPIDSDLFEDRKKYYDEILKDKRWRGEETDY FFKDSGIHRSQVAGLSAEQLTLKKLGRDSDFNDPKRFVSYRYRYVSVKAGDIYAEGES VITGPLLTLIPHAYEFGRVSLIAGQSRDQSKLDNVPVYRDHMKSLELNGVEVGYDTWC PSGRAVQVNLELISTILYNAFKRPIVKGALCHFGMWEFYNPRRPAYESVDVTIMNAIS DITGSKRWAYQEIQDWLARFIKGSRVDMVTHRFHGVTKKPTTRGEIWIWNLLLVLISN PSLVVSQTDKFPLWVCASDGLHLISTGVRHTDHFRLWEWLPYTEKIGNDDYMSVLATD RELRLFEIALEYFETIRIGYRRDEWTHLKSNMFNTWLGTHCGGVGDGMILFDPVRLPS PSSVLYLICSHNSTLEGMMYLLHDIYGKIVEENTGTVFIRVHARGCKCSVCRGGLQGV DVKNRSAMRVRSMPGNIGFDSVNLILSTSTTSAFGNSYIYFKLINR" ORIGIN 1 gtataattga tccgcgatgg ctttcgagcg tacggtagcc ttaacaagag agttcgcaaa 61 tgaaacaaga cagcattttg ggaagtttga tatagttgta aacacggaaa gcagtattga 121 ggacgaagca acgggtgagt gggagttcgc acgaagtgat gggcggcttg gcatctatga 181 agaattgcat aatagcatcg cttataaaca ttatacggcg atactaaaag ggccggaaaa 241 ttatttgaat attccgcaga tttttgagtc gaaaatctat aagaatttga atagggatga 301 tctattggcg agatatgatt attcacaaat actaagattc cgagatagta agatagcggg 361 ccgattgagg atgcagacgt atttcgggga cgtgcatgta agtgcgggac tgatagattg 421 tgtagcgatg gttcgtgagc ctattagaag ggaagggtgt cagcatatga tggtacgtag 481 ttttgatttg atgaatgcgg gccagttttt cgatgttcat gcgccgaaga tccacgcgtt 541 tgatgacacg gtgatagttg aaagcatgga catcgaaaac ggagtatggc gcgtaaaggc 601 gggtggcgta ggtttgaaaa cgctgcagga aaaagcggaa ggaatactcg gagattcagt 661 gttagactta gtccacaact atctcagcca aaagtgggac gcaggttatg tggccgcgaa 721 gttgctgagg tttgatgaga catataaatt tcatccaatt catgaggtgg gaattttcaa 781 cacattgatg atacgcatgg gtcaactcga tgacgcgtat agggatgggt tcttcgatta 841 tgacgagatt cacgctcaat tgatgaggga tgtgactttt cagtacccag aaggtaagcc 901 agtctttcgg agagatggcc aattctttaa aaacctagtg cagtattcgg gacgggcgaa 961 gattgggtat gagacgtatt taccagacag ggaattgtgg actgaatggc gaacgagatc 1021 atccgtgcaa gatgttgtac ccaagtatat ggaatggttg ataggtagat tacagttggg 1081 gaaaatgctt aaaataatgt cggaattacc agcggatgtt acgatgccca actatctttt 1141 gaaagccatt acatataaat cgagtgtata tgttaagaga ttgatactca cgtacatcgc 1201 tttacgaatg acgtttggac ggtgtccagt aaacaaaaaa ggaacgcttg cctcatcagt 1261 cttaggtttt ctacacgcgg ttattccgaa tctggaggaa tttctgagga aagcgggaat 1321 aacggatgaa ctatgtgtta aaatggagtt tacgccgaga cttactgtga tggagagaga 1381 ggataggaag tcagacagat acgccgttgt cttgcaagtt tatagggaga ggaagctgga 1441 ggtttttacg cctatagact cagacttgtt cgaagatcgg aaaaagtact atgacgagat 1501 cttgaaagat aaaagatggc gtggagaaga gactgattat ttttttaaag actcagggat 1561 acaccggtcc caggtggctg ggttgagcgc agagcagctc acgttgaaaa agttaggacg 1621 cgactcagat ttcaacgacc ctaaacggtt cgtttcatac agatatagat atgtatcagt 1681 taaagcggga gatatctatg cagaagggga gagcgttata acgggaccat tattgacact 1741 gattccacat gcctacgagt tcggacgagt atctttgatt gcggggcagt ctcgagatca 1801 atcaaagttg gataatgtcc cagtctaccg tgaccacatg aaatccttgg agttaaatgg 1861 cgtcgaagtt ggctatgaca cttggtgtcc gtcggggcgt gcagtacaag ttaacttgga 1921 gttgatatct accatcctgt ataacgcgtt caaacgtccc atcgttaagg gagcattatg 1981 tcacttcggt atgtgggaat tttataaccc gagacgtccc gcgtatgagt cagtagacgt 2041 gacaatcatg aatgcgatct cggatatcac tgggagcaaa agatgggcat atcaggaaat 2101 tcaagattgg ttggcgagat ttattaaggg gtcacgggtt gacatggtga cacaccgctt 2161 ccacggggta acgaagaagc caacaactcg aggtgagata tggatctgga acctactact 2221 agttttgatc tcaaatccca gtctggtggt atcacaaacg gataaatttc ccttatgggt 2281 ttgcgcctct gatggcttac acctgattag tacgggagtg aggcataccg atcattttag 2341 actttgggag tggctaccat ataccgaaaa aattgggaac gacgattata tgtcggttct 2401 cgccacagat agagagttgc ggcttttcga aatcgcgttg gaatacttcg agactatacg 2461 cattggatat aggagagatg aatggacgca tttgaaatcg aacatgttta atacctggct 2521 ggggacgcat tgtgggggtg taggggacgg gatgatattg tttgacccgg tgagattacc 2581 atccccgagc agcgtccttt atttgatctg ttcgcataac tcaactttag aaggaatgat 2641 gtatttacta catgatatat acgggaagat cgttgaagag aatactggta ctgttttcat 2701 aagggtacac gcgcgaggtt gtaagtgctc ggtgtgccga gggggtttac agggagttga 2761 cgtaaagaat aggtcagcta tgcgtgttcg tagtatgcca gggaacatcg gcttcgattc 2821 agtcaaccta attctttcaa catcaacgac gagcgcgttt gggaactctt acatttactt 2881 taagcttatt aatcgttagt gaggtgacac tcgctccgcg atcacgcaga tac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610677.1.gb ================================================ LOCUS JQ610677 2781 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 3, complete sequence. ACCESSION JQ610677 VERSION JQ610677.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2781) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2781) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2781 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="3" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 18..2738 /note="outer capsid and cell attachment protein" /codon_start=1 /product="VP3" /protein_id="AFX73389.1" /translation="MAHADAKGSDPEREALRKNPYLDGDVLGTAGGQVLSVFALTEIL QKVRQTQAELAAHAIDLDGPVPEITGVIKKIAELVDTVPYEVRDSPPISYKTLSMQSR DFVIQVDQYYEQISQIGGDVGEDEPMEFYKTMLEKVRYLRKSGAFILRGIKTRDYRGN EVAEPEALGVEFREVLSNFIAADRQVIQNALDAAIVENGQVGDRAVDVYMAAVSEPWY RIYNRLQAYIEVTQLRELRRAMEWLNALGRRKRVEYDDSFLTDFRARDTVWVQTQQLP VNARVIWEVPRSYIANLMMNIALCLPLGDFIAPNPRIGSITITQRITMTTPFGMMSGM TPTSMQMDDVKKIYLALLFPGQIVLNIKPDPAHSIDPVLRMVSGVLGHLMFTYGPRFT NITATTSQLLDSALSDYFLYMQNSRVPVVYGPTGLPLDFRIGGRQGYDCNNLRGDPQT GRGYNGWGVVDVDRRAPSPYDLVQRFIRYCNIDSREIIDPRTFGFNMNYPLYMEMIRA LVAGGKDQEAAYLRQMLPFHMIRFARINQIINEDLLSAFSLPDEDFDALFFNMLRGEY GKAEPIVLDISWASIWFAFNRYFDPVQRSDLLSVAPMIEAVYASEISILQLDMINLQQ LRARAPDMLINATPSQFWKAALASAAEPVVELMNLSQSFRFINVRDIIQWTRTREVQP SLALTLEREAWAVAADFEELMLVNHVYFHRSVVPEPQLDDIDEFRRQGFLYTNLLEAA PPRLLITNYDYNVALLQANLGQFKSALRRILDDGGWVMFGGMLRNVRLKIYDSKPGED VLSELPYLYSEKVENGLRFVSLKYARRATIYFLMYKVEYSNTPDALISVNPTYTMTKI YTNKRLVRKVRSPDVLNIVNKRVVAYKTKMRLIDITSALRLGVKLAAPTV" ORIGIN 1 gtatatattc cttcgcgatg gcgcatgcgg atgctaaagg aagtgatccg gagagagagg 61 cgttgaggaa gaacccttat ctagatggag acgtcttggg aaccgcaggc ggccaagttt 121 tgtcggtttt cgcattgacc gaaattttac aaaaagtaag acagacgcaa gctgaactgg 181 ccgcacacgc aatcgatttg gatggaccag tccctgagat caccggggtt attaagaaga 241 tagcggagtt agttgacacc gttccatatg aagtgcgcga ttcaccacct ataagctata 301 agactttaag catgcaatcg cgcgactttg tcatccaggt ggaccagtat tacgaacaga 361 tttcgcaaat tggaggagac gtcggggagg acgagccgat ggagttctat aaaacaatgc 421 tagaaaaggt acgctattta aggaagagtg gagcattcat tttgagaggt attaaaacac 481 gagactatag gggtaatgaa gtggcggaac cagaagcttt aggagtcgaa tttcgtgaag 541 tactttctaa ttttattgcg gcggatagac aagtgataca gaatgcgtta gatgcagcca 601 tagttgaaaa tggccaggtg ggtgataggg cggtcgatgt ttatatggct gctgtttctg 661 agccatggta tcgaatatat aataggttac aggcgtatat tgaagttacg caactgagag 721 aattgaggcg cgcaatggag tggctgaatg cacttggtcg tcgtaagaga gtggagtatg 781 atgattcatt cttgaccgat tttcgagcga gagatacggt atgggtgcag acgcaacagc 841 ttcccgttaa cgctcgtgtg atctgggagg ttccgaggtc atatatagct aatttgatga 901 tgaatatcgc gttatgtctg ccactaggtg atttcatagc cccaaacccg aggattgggt 961 cgataacgat aacccagcga ataactatga ctacgccttt tgggatgatg tctgggatga 1021 cccccacatc aatgcagatg gacgatgtca agaagatata tctcgcgttg ctctttcccg 1081 ggcagatcgt tttgaatatt aaacccgacc cagcgcactc catcgatccg gtactgcgta 1141 tggtttcggg tgtgttgggg catttgatgt tcacctacgg tcccagattt actaacataa 1201 cagctacaac atcgcagttg ctagatagtg ccttgagcga ctattttctg tacatgcaaa 1261 acagtagagt tccggtggtg tacggaccaa ctgggttacc tttggatttt agaatcggtg 1321 gacgacaagg ctatgattgc aataatctgc ggggagaccc gcagactggg agggggtaca 1381 atggatgggg agtcgttgac gtcgatcgaa gagcacccag tccgtacgat ttggttcaaa 1441 gatttatacg ttactgcaac atagactctc gcgagatcat cgacccacgg acgtttggat 1501 ttaatatgaa ctatccgcta tatatggaga tgatacgtgc attagttgcc ggaggaaaag 1561 atcaggaagc ggcgtaccta cgacaaatgt taccttttca catgatcaga ttcgcacgga 1621 tcaatcagat aataaacgaa gacttactta gcgcgttttc cttaccagat gaggatttcg 1681 acgcattatt tttcaatatg ctgcgcggcg agtatggaaa ggctgagccg atcgttttag 1741 atatcagttg ggcttcaatt tggtttgcgt tcaaccgcta ctttgaccca gtccaaaggt 1801 cagatctatt atcagtggca cccatgattg aggctgtcta tgcgtcagaa atctccattt 1861 tgcaattgga tatgatcaac ctgcagcagt tgagagcgag ggcacctgat atgttgatta 1921 acgcaactcc gagtcagttt tggaaagcgg cgttagcatc cgcagcagaa ccagtagttg 1981 agttgatgaa tctttcgcag agttttcgat tcattaacgt cagggatata atacagtgga 2041 ctagaacacg agaagtgcaa ccgtcgctgg ctctcacttt ggaacgagag gcgtgggcgg 2101 tcgcagctga cttcgaagag ttgatgctcg taaaccatgt ctattttcat agatcggtgg 2161 ttcccgaacc acagttggat gacatcgatg aatttcgtag gcaaggattc ctgtacacaa 2221 atctattgga agcggccccc ccgcgtttgt taatcaccaa ttatgattac aacgttgcgc 2281 tactgcaggc gaatcttgga caatttaaat ccgctttgag gagaattctg gatgacggtg 2341 gttgggtgat gttcggggga atgctgagaa atgttcgttt gaaaatatac gattcaaagc 2401 cgggagagga cgtcttaagc gaactaccct atctttactc cgagaaagtg gaaaacggtt 2461 taaggtttgt gtctttgaag tatgcgagac gagcaactat ttatttttta atgtataagg 2521 ttgaatattc aaacacacca gatgctttaa tatcagtcaa ccccacgtat accatgacga 2581 agatttatac aaacaagaga ctggtccgga aagtcaggtc acctgacgtt ttgaacatcg 2641 ttaataaaag agtagtggct tataaaacga agatgcggtt gattgacatt acatcggcac 2701 tgcgtcttgg tgttaaactt gcagcaccta cagtgtgaat tgaccactca acctgtggtg 2761 ctcggtgggg aattcgctta c // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610677.1.gbk ================================================ LOCUS JQ610677 2781 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 3, complete sequence. ACCESSION JQ610677 VERSION JQ610677.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2781) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2781) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2781 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="3" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 18..2738 /note="outer capsid and cell attachment protein" /codon_start=1 /product="VP3" /protein_id="AFX73389.1" /translation="MAHADAKGSDPEREALRKNPYLDGDVLGTAGGQVLSVFALTEIL QKVRQTQAELAAHAIDLDGPVPEITGVIKKIAELVDTVPYEVRDSPPISYKTLSMQSR DFVIQVDQYYEQISQIGGDVGEDEPMEFYKTMLEKVRYLRKSGAFILRGIKTRDYRGN EVAEPEALGVEFREVLSNFIAADRQVIQNALDAAIVENGQVGDRAVDVYMAAVSEPWY RIYNRLQAYIEVTQLRELRRAMEWLNALGRRKRVEYDDSFLTDFRARDTVWVQTQQLP VNARVIWEVPRSYIANLMMNIALCLPLGDFIAPNPRIGSITITQRITMTTPFGMMSGM TPTSMQMDDVKKIYLALLFPGQIVLNIKPDPAHSIDPVLRMVSGVLGHLMFTYGPRFT NITATTSQLLDSALSDYFLYMQNSRVPVVYGPTGLPLDFRIGGRQGYDCNNLRGDPQT GRGYNGWGVVDVDRRAPSPYDLVQRFIRYCNIDSREIIDPRTFGFNMNYPLYMEMIRA LVAGGKDQEAAYLRQMLPFHMIRFARINQIINEDLLSAFSLPDEDFDALFFNMLRGEY GKAEPIVLDISWASIWFAFNRYFDPVQRSDLLSVAPMIEAVYASEISILQLDMINLQQ LRARAPDMLINATPSQFWKAALASAAEPVVELMNLSQSFRFINVRDIIQWTRTREVQP SLALTLEREAWAVAADFEELMLVNHVYFHRSVVPEPQLDDIDEFRRQGFLYTNLLEAA PPRLLITNYDYNVALLQANLGQFKSALRRILDDGGWVMFGGMLRNVRLKIYDSKPGED VLSELPYLYSEKVENGLRFVSLKYARRATIYFLMYKVEYSNTPDALISVNPTYTMTKI YTNKRLVRKVRSPDVLNIVNKRVVAYKTKMRLIDITSALRLGVKLAAPTV" ORIGIN 1 gtatatattc cttcgcgatg gcgcatgcgg atgctaaagg aagtgatccg gagagagagg 61 cgttgaggaa gaacccttat ctagatggag acgtcttggg aaccgcaggc ggccaagttt 121 tgtcggtttt cgcattgacc gaaattttac aaaaagtaag acagacgcaa gctgaactgg 181 ccgcacacgc aatcgatttg gatggaccag tccctgagat caccggggtt attaagaaga 241 tagcggagtt agttgacacc gttccatatg aagtgcgcga ttcaccacct ataagctata 301 agactttaag catgcaatcg cgcgactttg tcatccaggt ggaccagtat tacgaacaga 361 tttcgcaaat tggaggagac gtcggggagg acgagccgat ggagttctat aaaacaatgc 421 tagaaaaggt acgctattta aggaagagtg gagcattcat tttgagaggt attaaaacac 481 gagactatag gggtaatgaa gtggcggaac cagaagcttt aggagtcgaa tttcgtgaag 541 tactttctaa ttttattgcg gcggatagac aagtgataca gaatgcgtta gatgcagcca 601 tagttgaaaa tggccaggtg ggtgataggg cggtcgatgt ttatatggct gctgtttctg 661 agccatggta tcgaatatat aataggttac aggcgtatat tgaagttacg caactgagag 721 aattgaggcg cgcaatggag tggctgaatg cacttggtcg tcgtaagaga gtggagtatg 781 atgattcatt cttgaccgat tttcgagcga gagatacggt atgggtgcag acgcaacagc 841 ttcccgttaa cgctcgtgtg atctgggagg ttccgaggtc atatatagct aatttgatga 901 tgaatatcgc gttatgtctg ccactaggtg atttcatagc cccaaacccg aggattgggt 961 cgataacgat aacccagcga ataactatga ctacgccttt tgggatgatg tctgggatga 1021 cccccacatc aatgcagatg gacgatgtca agaagatata tctcgcgttg ctctttcccg 1081 ggcagatcgt tttgaatatt aaacccgacc cagcgcactc catcgatccg gtactgcgta 1141 tggtttcggg tgtgttgggg catttgatgt tcacctacgg tcccagattt actaacataa 1201 cagctacaac atcgcagttg ctagatagtg ccttgagcga ctattttctg tacatgcaaa 1261 acagtagagt tccggtggtg tacggaccaa ctgggttacc tttggatttt agaatcggtg 1321 gacgacaagg ctatgattgc aataatctgc ggggagaccc gcagactggg agggggtaca 1381 atggatgggg agtcgttgac gtcgatcgaa gagcacccag tccgtacgat ttggttcaaa 1441 gatttatacg ttactgcaac atagactctc gcgagatcat cgacccacgg acgtttggat 1501 ttaatatgaa ctatccgcta tatatggaga tgatacgtgc attagttgcc ggaggaaaag 1561 atcaggaagc ggcgtaccta cgacaaatgt taccttttca catgatcaga ttcgcacgga 1621 tcaatcagat aataaacgaa gacttactta gcgcgttttc cttaccagat gaggatttcg 1681 acgcattatt tttcaatatg ctgcgcggcg agtatggaaa ggctgagccg atcgttttag 1741 atatcagttg ggcttcaatt tggtttgcgt tcaaccgcta ctttgaccca gtccaaaggt 1801 cagatctatt atcagtggca cccatgattg aggctgtcta tgcgtcagaa atctccattt 1861 tgcaattgga tatgatcaac ctgcagcagt tgagagcgag ggcacctgat atgttgatta 1921 acgcaactcc gagtcagttt tggaaagcgg cgttagcatc cgcagcagaa ccagtagttg 1981 agttgatgaa tctttcgcag agttttcgat tcattaacgt cagggatata atacagtgga 2041 ctagaacacg agaagtgcaa ccgtcgctgg ctctcacttt ggaacgagag gcgtgggcgg 2101 tcgcagctga cttcgaagag ttgatgctcg taaaccatgt ctattttcat agatcggtgg 2161 ttcccgaacc acagttggat gacatcgatg aatttcgtag gcaaggattc ctgtacacaa 2221 atctattgga agcggccccc ccgcgtttgt taatcaccaa ttatgattac aacgttgcgc 2281 tactgcaggc gaatcttgga caatttaaat ccgctttgag gagaattctg gatgacggtg 2341 gttgggtgat gttcggggga atgctgagaa atgttcgttt gaaaatatac gattcaaagc 2401 cgggagagga cgtcttaagc gaactaccct atctttactc cgagaaagtg gaaaacggtt 2461 taaggtttgt gtctttgaag tatgcgagac gagcaactat ttatttttta atgtataagg 2521 ttgaatattc aaacacacca gatgctttaa tatcagtcaa ccccacgtat accatgacga 2581 agatttatac aaacaagaga ctggtccgga aagtcaggtc acctgacgtt ttgaacatcg 2641 ttaataaaag agtagtggct tataaaacga agatgcggtt gattgacatt acatcggcac 2701 tgcgtcttgg tgttaaactt gcagcaccta cagtgtgaat tgaccactca acctgtggtg 2761 ctcggtgggg aattcgctta c // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610678.1.gb ================================================ LOCUS JQ610678 1957 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 4, complete sequence. ACCESSION JQ610678 VERSION JQ610678.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1957) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1957) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1957 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="4" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..1926 /note="capping enzyme" /codon_start=1 /product="VP4" /protein_id="AFX73390.1" /translation="MEPFAVLHLSAKLAPLVREGFIPYVDLDNIKTLNDLWIEIGKCS SDVYAVGRINRWTIRQLRAYRFIFVSEKRTITLKDIKITPDVPIRCADGLDLKLLETT IGRKRLVLRKTFGDILRKYALSQSVHLHGSEAETLNMADPTIHHVKGLPMIAPNHLNP TKPWSDLDDTETDEKLVSMLDYAMYSAQEVHYVGSGDGRTIRLFAKRDKKRFDRAKWV CYDPIMTDIGLTNVIAVKHYVNTFRDMLPYLNTGDRVERLLLWDVSGDAAKHDRFWEA QRTEEDRRGESVAVSLTEYFALAIIKHRIPIYEEKYRCTTSWIVPQPGAVREMYEMRN IILLNGFSRVNRAHIPQAGVMEIEADVLREMVRNFHGAGRGRLLKKSLYESLHIHQVD GLEDSEDGARSDLFYLTNQRNVNSIQSIRRVLGNSTVSTLWVSRERVFEYDDFNFDRS ALMLWHRGREHLLFDGNGAVLYLMWQHGDRYRKDVNYDPSWAEHFAVLIREPQPWRPV PDLSLCRFISLRRVSTVIRIRGDIHRKSDQVKRLGLDLSGHLFVTLISGAYLADLRWW FRMIIQWSKQRRQEKIDDLAKVNAEVVEWKEEKADEPWHRKEDLIAALIAAKSITGDQ HIDGWIAELRDME" ORIGIN 1 gtatatttcg aaatggagcc ctttgctgtg ctgcacctat cagccaagct ggcaccgctg 61 gtgcgtgagg gatttatccc gtatgtggac ttggataata ttaagacgtt gaatgacctc 121 tggattgaga ttggcaaatg ctcatctgat gtatatgcgg ttggacgaat aaataggtgg 181 acgatacgtc agctacgtgc gtatagattc atattcgtgt cggagaagag aacaataacg 241 ttgaaggata ttaagatcac acctgacgtg ccaataagat gcgcggatgg gctagactta 301 aagttacttg agactacaat aggacgtaaa agattagtgt tgcgaaagac gtttggagac 361 atactgcgaa aatatgcgtt aagccagtcg gtacacttgc atggatctga ggcagaaacc 421 ttgaatatgg cggaccctac catacatcac gtgaaggggt taccaatgat agcgccaaat 481 catttaaatc caacgaaacc atggagtgat ctggacgaca cagaaaccga tgaaaaacta 541 gtgtcaatgc tagattacgc gatgtatagc gcgcaagaag tgcattatgt tggctcggga 601 gacggtagaa cgatacggct gtttgcaaag agggacaaaa agagatttga tagagcgaag 661 tgggtgtgct atgaccctat tatgactgat attggattga caaatgtgat agctgttaaa 721 cactatgtca atactttcag ggatatgcta ccgtatttaa atactggcga ccgagttgag 781 agattactat tgtgggacgt aagtggagat gcggcgaaac atgatcggtt ttgggaagct 841 cagaggactg aggaggaccg gcggggagaa tcagttgccg tgtctttaac ggagtacttc 901 gccttggcta ttatcaaaca tagaattcca atctatgagg aaaagtatag atgcaccact 961 tcgtggattg taccgcagcc tggcgcggtc cgcgagatgt acgagatgag gaatatcata 1021 ctgttgaacg gtttttctag ggtaaatcga gcgcatatcc cccaggcagg cgtaatggag 1081 attgaggctg atgtgttacg tgagatggtg aggaacttcc atggagctgg tcgcggtcgg 1141 ctgctgaaga aatcgcttta tgagagtcta catatccatc aagttgatgg attggaggat 1201 tcggaagacg gagcgcggag cgatctcttt tatttaacca accaacgtaa tgttaattca 1261 atacaatcaa tcagacgagt tttgggaaat agcacggtgt cgactttatg ggtgtcaagg 1321 gaacgagttt tcgaatatga tgactttaat tttgaccgat cagcgttgat gctctggcac 1381 aggggtagag agcacttact atttgatggc aacggcgcgg ttctatattt gatgtggcag 1441 cacggagata gatatagaaa ggatgtgaac tatgatcctt cgtgggccga acattttgca 1501 gtattgatcc gagagccaca accttggcga ccagttccag atctgtccct ctgccgtttt 1561 atttcgctaa gacgggtgtc gacggttatt agaatacgag gcgatattca caggaaaagt 1621 gatcaggtaa agcgtttagg gttagatttg tcaggacatc tgttcgtaac gttaatttct 1681 ggagcgtatc ttgccgattt aagatggtgg ttccggatga tcatccaatg gtcaaagcag 1741 cgtagacagg aaaagataga cgatttggct aaggttaacg ctgaagtggt tgaatggaaa 1801 gaagagaaag ccgacgaacc gtggcatcgc aaggaggacc tgatcgctgc tttaatcgcg 1861 gcaaaaagta tcaccggtga tcagcatata gatgggtgga ttgcggagct gagggatatg 1921 gaatgacatc cacccgaggg gcaatcgaac tacctac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610678.1.gbk ================================================ LOCUS JQ610678 1957 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 4, complete sequence. ACCESSION JQ610678 VERSION JQ610678.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1957) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1957) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1957 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="4" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..1926 /note="capping enzyme" /codon_start=1 /product="VP4" /protein_id="AFX73390.1" /translation="MEPFAVLHLSAKLAPLVREGFIPYVDLDNIKTLNDLWIEIGKCS SDVYAVGRINRWTIRQLRAYRFIFVSEKRTITLKDIKITPDVPIRCADGLDLKLLETT IGRKRLVLRKTFGDILRKYALSQSVHLHGSEAETLNMADPTIHHVKGLPMIAPNHLNP TKPWSDLDDTETDEKLVSMLDYAMYSAQEVHYVGSGDGRTIRLFAKRDKKRFDRAKWV CYDPIMTDIGLTNVIAVKHYVNTFRDMLPYLNTGDRVERLLLWDVSGDAAKHDRFWEA QRTEEDRRGESVAVSLTEYFALAIIKHRIPIYEEKYRCTTSWIVPQPGAVREMYEMRN IILLNGFSRVNRAHIPQAGVMEIEADVLREMVRNFHGAGRGRLLKKSLYESLHIHQVD GLEDSEDGARSDLFYLTNQRNVNSIQSIRRVLGNSTVSTLWVSRERVFEYDDFNFDRS ALMLWHRGREHLLFDGNGAVLYLMWQHGDRYRKDVNYDPSWAEHFAVLIREPQPWRPV PDLSLCRFISLRRVSTVIRIRGDIHRKSDQVKRLGLDLSGHLFVTLISGAYLADLRWW FRMIIQWSKQRRQEKIDDLAKVNAEVVEWKEEKADEPWHRKEDLIAALIAAKSITGDQ HIDGWIAELRDME" ORIGIN 1 gtatatttcg aaatggagcc ctttgctgtg ctgcacctat cagccaagct ggcaccgctg 61 gtgcgtgagg gatttatccc gtatgtggac ttggataata ttaagacgtt gaatgacctc 121 tggattgaga ttggcaaatg ctcatctgat gtatatgcgg ttggacgaat aaataggtgg 181 acgatacgtc agctacgtgc gtatagattc atattcgtgt cggagaagag aacaataacg 241 ttgaaggata ttaagatcac acctgacgtg ccaataagat gcgcggatgg gctagactta 301 aagttacttg agactacaat aggacgtaaa agattagtgt tgcgaaagac gtttggagac 361 atactgcgaa aatatgcgtt aagccagtcg gtacacttgc atggatctga ggcagaaacc 421 ttgaatatgg cggaccctac catacatcac gtgaaggggt taccaatgat agcgccaaat 481 catttaaatc caacgaaacc atggagtgat ctggacgaca cagaaaccga tgaaaaacta 541 gtgtcaatgc tagattacgc gatgtatagc gcgcaagaag tgcattatgt tggctcggga 601 gacggtagaa cgatacggct gtttgcaaag agggacaaaa agagatttga tagagcgaag 661 tgggtgtgct atgaccctat tatgactgat attggattga caaatgtgat agctgttaaa 721 cactatgtca atactttcag ggatatgcta ccgtatttaa atactggcga ccgagttgag 781 agattactat tgtgggacgt aagtggagat gcggcgaaac atgatcggtt ttgggaagct 841 cagaggactg aggaggaccg gcggggagaa tcagttgccg tgtctttaac ggagtacttc 901 gccttggcta ttatcaaaca tagaattcca atctatgagg aaaagtatag atgcaccact 961 tcgtggattg taccgcagcc tggcgcggtc cgcgagatgt acgagatgag gaatatcata 1021 ctgttgaacg gtttttctag ggtaaatcga gcgcatatcc cccaggcagg cgtaatggag 1081 attgaggctg atgtgttacg tgagatggtg aggaacttcc atggagctgg tcgcggtcgg 1141 ctgctgaaga aatcgcttta tgagagtcta catatccatc aagttgatgg attggaggat 1201 tcggaagacg gagcgcggag cgatctcttt tatttaacca accaacgtaa tgttaattca 1261 atacaatcaa tcagacgagt tttgggaaat agcacggtgt cgactttatg ggtgtcaagg 1321 gaacgagttt tcgaatatga tgactttaat tttgaccgat cagcgttgat gctctggcac 1381 aggggtagag agcacttact atttgatggc aacggcgcgg ttctatattt gatgtggcag 1441 cacggagata gatatagaaa ggatgtgaac tatgatcctt cgtgggccga acattttgca 1501 gtattgatcc gagagccaca accttggcga ccagttccag atctgtccct ctgccgtttt 1561 atttcgctaa gacgggtgtc gacggttatt agaatacgag gcgatattca caggaaaagt 1621 gatcaggtaa agcgtttagg gttagatttg tcaggacatc tgttcgtaac gttaatttct 1681 ggagcgtatc ttgccgattt aagatggtgg ttccggatga tcatccaatg gtcaaagcag 1741 cgtagacagg aaaagataga cgatttggct aaggttaacg ctgaagtggt tgaatggaaa 1801 gaagagaaag ccgacgaacc gtggcatcgc aaggaggacc tgatcgctgc tttaatcgcg 1861 gcaaaaagta tcaccggtga tcagcatata gatgggtgga ttgcggagct gagggatatg 1921 gaatgacatc cacccgaggg gcaatcgaac tacctac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610679.1.gb ================================================ LOCUS JQ610679 1735 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 5, complete sequence. ACCESSION JQ610679 VERSION JQ610679.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1735) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1735) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1735 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="5" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 36..1676 /note="non-structural protein 1" /codon_start=1 /product="NS1" /protein_id="AFX73391.1" /translation="MDQFLDSFDVTGDEANALRLLRAVSPEMTCSHLRRDCLIGGICA KQFFNEVLMAILDSKDRQAARQLVTLAVMTSYDRELIWLNVLRSTEVLPANDYAHEIQ NVVLNLKRVFIESGLEEKYKSFRAKRRPNRSPTEDAFSFLPFFYIPMNETKRVGIKKL TRVRNLGVAFVDRREVTHHLPFTVDAARRDLMMLRNFTLEHQRTCTFTGSKSLIHGMI FCPEEMEPLFQKKETALEIYRICEQDMKFINSRGTMSFPRFLMQRLAVKNASSDAMDQ VMLGRTPSDGRLMSVTGASFFFGGGPDWRKWAMPALLVRAARLRTVVTSFVKEWFDST HTCQVCFLVEKGVADSIPITDVRLSDVCGVGPVAYVRSYAHDDGNAPDVRVLRKGEIF RLMGGHYVMQTTASTMESLVVAAKEMQRLVRGDGFWDTPYWGLSMANLCKIMFHENPA KEQIHFMIKLITFGMFGGVQRHNGLFTDWDNLEEFLKRMFSTEEMGVRMYESSYHAIL RACILHLQTTAKPTLVQLTHAIESLDLGIEEVPFNFYV" ORIGIN 1 gtaaaaagaa tcctctgcgt tcactgggca cgaacatgga tcaattcttg gattcttttg 61 atgtgactgg agacgaggcg aatgccttga gattattgag agcggtttca cctgagatga 121 catgctcaca tttgaggaga gattgtttaa ttggagggat atgcgcaaaa cagtttttca 181 acgaggtgct gatggccatt ctggattcaa aagatcgtca ggcagcgcgt cagctggtga 241 cattagctgt gatgaccagt tacgaccgag agctaatctg gctcaacgta ctaaggtcaa 301 ctgaagtgct gccggcaaat gattatgcac atgaaataca gaatgtggtt ctgaacttga 361 agagggtctt catagagagt gggttggaag aaaaatacaa gagtttcagg gcgaagcggc 421 gtccaaacag atctccgacc gaggatgctt tctctttttt gccctttttc tacataccca 481 tgaatgaaac aaaacgggtt ggaataaaga aactcactag agttcggaac ctaggtgttg 541 cttttgttga tagacgcgaa gtgacgcatc atttaccgtt cacggtggac gctgctagaa 601 gggaccttat gatgctgaga aatttcacgc tggagcacca aagaacatgt acgtttacgg 661 gttcaaagag cttgatacat gggatgatat tctgtcctga ggagatggaa cctcttttcc 721 agaagaagga gacagcgcta gaaatctaca gaatttgtga gcaggatatg aagtttatca 781 actcaagagg tacgatgtca tttccccggt ttttgatgca acgtttagcg gtgaaaaacg 841 cttcatctga tgcgatggac caggttatgt tgggacgaac tccgagcgat ggacgtttga 901 tgtcggtgac tggtgcctct ttcttttttg gagggggacc tgattggcgc aagtgggcga 961 tgccggcgtt gttggtacgt gctgcaagac tgagaaccgt cgtgacatca ttcgttaagg 1021 agtggtttga ttcgactcac acatgtcaag tctgtttcct agttgaaaaa ggtgtcgccg 1081 attcaattcc gatcactgat gttcgtttat cggatgtgtg cggcgtagga ccagtcgcat 1141 atgttagatc ttatgcacat gatgacggga acgcgccgga tgttcgcgta ctgagaaaag 1201 gtgaaatctt cagattgatg ggcggacatt atgttatgca gacaacggcg agtacaatgg 1261 aatcattggt cgttgccgcg aaggagatgc agcgtttggt tcgcggcgat ggtttttggg 1321 acacaccgta ttggggttta agcatggcaa acctttgtaa aatcatgttt catgaaaacc 1381 cagcaaagga acagattcat ttcatgatta agctcataac ctttgggatg tttggtgggg 1441 ttcaaaggca caatggactg ttcacagact gggacaattt ggaggagttc ttgaagagga 1501 tgttttctac ggaggagatg ggcgttcgta tgtatgagtc aagttaccat gcgatacttc 1561 gtgcgtgcat actacatcta cagaccactg cgaagcctac cctcgttcaa ctaactcacg 1621 cgatcgaatc actcgacctt ggaatagaag aagttccttt caatttttat gtctaaaaca 1681 tcataataaa ccataaagag tctgagtaat tgtatccctg agctcttact cttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610679.1.gbk ================================================ LOCUS JQ610679 1735 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 5, complete sequence. ACCESSION JQ610679 VERSION JQ610679.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1735) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1735) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1735 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="5" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 36..1676 /note="non-structural protein 1" /codon_start=1 /product="NS1" /protein_id="AFX73391.1" /translation="MDQFLDSFDVTGDEANALRLLRAVSPEMTCSHLRRDCLIGGICA KQFFNEVLMAILDSKDRQAARQLVTLAVMTSYDRELIWLNVLRSTEVLPANDYAHEIQ NVVLNLKRVFIESGLEEKYKSFRAKRRPNRSPTEDAFSFLPFFYIPMNETKRVGIKKL TRVRNLGVAFVDRREVTHHLPFTVDAARRDLMMLRNFTLEHQRTCTFTGSKSLIHGMI FCPEEMEPLFQKKETALEIYRICEQDMKFINSRGTMSFPRFLMQRLAVKNASSDAMDQ VMLGRTPSDGRLMSVTGASFFFGGGPDWRKWAMPALLVRAARLRTVVTSFVKEWFDST HTCQVCFLVEKGVADSIPITDVRLSDVCGVGPVAYVRSYAHDDGNAPDVRVLRKGEIF RLMGGHYVMQTTASTMESLVVAAKEMQRLVRGDGFWDTPYWGLSMANLCKIMFHENPA KEQIHFMIKLITFGMFGGVQRHNGLFTDWDNLEEFLKRMFSTEEMGVRMYESSYHAIL RACILHLQTTAKPTLVQLTHAIESLDLGIEEVPFNFYV" ORIGIN 1 gtaaaaagaa tcctctgcgt tcactgggca cgaacatgga tcaattcttg gattcttttg 61 atgtgactgg agacgaggcg aatgccttga gattattgag agcggtttca cctgagatga 121 catgctcaca tttgaggaga gattgtttaa ttggagggat atgcgcaaaa cagtttttca 181 acgaggtgct gatggccatt ctggattcaa aagatcgtca ggcagcgcgt cagctggtga 241 cattagctgt gatgaccagt tacgaccgag agctaatctg gctcaacgta ctaaggtcaa 301 ctgaagtgct gccggcaaat gattatgcac atgaaataca gaatgtggtt ctgaacttga 361 agagggtctt catagagagt gggttggaag aaaaatacaa gagtttcagg gcgaagcggc 421 gtccaaacag atctccgacc gaggatgctt tctctttttt gccctttttc tacataccca 481 tgaatgaaac aaaacgggtt ggaataaaga aactcactag agttcggaac ctaggtgttg 541 cttttgttga tagacgcgaa gtgacgcatc atttaccgtt cacggtggac gctgctagaa 601 gggaccttat gatgctgaga aatttcacgc tggagcacca aagaacatgt acgtttacgg 661 gttcaaagag cttgatacat gggatgatat tctgtcctga ggagatggaa cctcttttcc 721 agaagaagga gacagcgcta gaaatctaca gaatttgtga gcaggatatg aagtttatca 781 actcaagagg tacgatgtca tttccccggt ttttgatgca acgtttagcg gtgaaaaacg 841 cttcatctga tgcgatggac caggttatgt tgggacgaac tccgagcgat ggacgtttga 901 tgtcggtgac tggtgcctct ttcttttttg gagggggacc tgattggcgc aagtgggcga 961 tgccggcgtt gttggtacgt gctgcaagac tgagaaccgt cgtgacatca ttcgttaagg 1021 agtggtttga ttcgactcac acatgtcaag tctgtttcct agttgaaaaa ggtgtcgccg 1081 attcaattcc gatcactgat gttcgtttat cggatgtgtg cggcgtagga ccagtcgcat 1141 atgttagatc ttatgcacat gatgacggga acgcgccgga tgttcgcgta ctgagaaaag 1201 gtgaaatctt cagattgatg ggcggacatt atgttatgca gacaacggcg agtacaatgg 1261 aatcattggt cgttgccgcg aaggagatgc agcgtttggt tcgcggcgat ggtttttggg 1321 acacaccgta ttggggttta agcatggcaa acctttgtaa aatcatgttt catgaaaacc 1381 cagcaaagga acagattcat ttcatgatta agctcataac ctttgggatg tttggtgggg 1441 ttcaaaggca caatggactg ttcacagact gggacaattt ggaggagttc ttgaagagga 1501 tgttttctac ggaggagatg ggcgttcgta tgtatgagtc aagttaccat gcgatacttc 1561 gtgcgtgcat actacatcta cagaccactg cgaagcctac cctcgttcaa ctaactcacg 1621 cgatcgaatc actcgacctt ggaatagaag aagttccttt caatttttat gtctaaaaca 1681 tcataataaa ccataaagag tctgagtaat tgtatccctg agctcttact cttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610680.1.gb ================================================ LOCUS JQ610680 1605 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 6, complete sequence. ACCESSION JQ610680 VERSION JQ610680.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1605) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1605) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1605 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="6" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 22..1581 /note="outer capsid protein" /codon_start=1 /product="VP5" /protein_id="AFX73392.1" /translation="MGKFVKALKKIGRGTVKALTSDAAKKLYTTLGKAATRFAESEVG SAAIDGLIQGTAQTLLHGGSASENIKQAVVLGVLHSMETPADPLSPGEQGVYDKIKEI KREEKEDRFFEVYQEKIDEELGSDMKRMREVAKGDKQAIKEMGGEIKVIEKAFDGLIK IDKIQDMKLTQLYGALAKERTERTQDEIKMVNDYTGKIEALQSAITVERDAMQEEALQ EIIEMGTDVIETASEEVPIFGPAAANVVATGRMVEGTLKLKQVIEKLAGLDVSHTTRD RIEPKVINAILDHEGGVVPEKELAIGVYNKLQTVREHMAEHSHLKEMAIPRLQKLYTE HGDEWHPKIITQMKVAREHQPQIHIYCAPWESDDVFMLRVYAPHHIGCGLFLGVDLES EFIFYEDLIAENHVLRGGVIEVVGRNFRQAVREFLLMAASKIENTMHVKRLVRSSASS PIYLSSIHYECTFDEIKQNVLQIVHDEQLQMHLLRGPKHFQRRALMAAVVKGVKILEG PDTKALMLQGL" ORIGIN 1 gtataaaata cctcggtcat catgggcaaa ttcgtaaagg ccctgaagaa aataggaagg 61 ggtacggtga aggcactgac gtctgacgct gcaaagaaac tttatacgac tttaggaaag 121 gcggcgacgc ggtttgctga aagcgaagtc ggcagcgcgg cgattgatgg attgatacaa 181 ggaacagcgc aaactttact gcacggaggc agcgcgagtg aaaatatcaa gcaagcggtt 241 gttttaggtg ttctccacag catggaaacg ccggcggacc ctttatcacc aggagagcaa 301 ggagtatatg ataagattaa ggaaattaaa cgagaagaaa aggaagatcg gtttttcgag 361 gtttaccaag aaaagattga cgaagagctt ggttcagata tgaagcgaat gcgagaagtg 421 gcaaaaggtg ataagcaggc catcaaggaa atgggtggtg aaattaaggt tatcgagaaa 481 gctttcgatg gattgattaa aatagataaa attcaagata tgaaattaac gcagttatat 541 ggcgcgctcg cgaaagagcg tacggagcgt acgcaggacg agatcaaaat ggttaacgac 601 tacactggaa aaattgaagc actgcaatcc gcgataacag ttgagcggga cgctatgcaa 661 gaggaggcgt tgcaggagat aatagaaatg ggaacggatg taattgaaac cgcctccgaa 721 gaggttccga tattcggccc tgcggctgcg aatgtagtcg caactggacg aatggttgag 781 ggcaccttaa agttgaagca agtaatcgag aaattagcag ggttagatgt ttcgcacacc 841 acaagggaca gaatcgagcc gaaagttata aacgctatac tagatcacga ggggggcgtc 901 gtaccggaaa aggaactagc gattggtgta tataataagc tgcagacagt cagagaacat 961 atggcggaac acagccatct aaaggaaatg gcaataccaa ggctgcaaaa gctgtacaca 1021 gaacacggcg atgagtggca tccaaagata attactcaaa tgaaggtagc gagagaacat 1081 cagccgcaaa tacatatata ttgcgctcca tgggaatcgg atgacgtgtt tatgttgcga 1141 gtgtacgcgc cgcatcatat agggtgtggt cttttcttag gagttgattt agagagtgaa 1201 ttcatatttt atgaggattt gatagcagag aaccacgtat tgcgtggtgg cgtcattgaa 1261 gtcgttggaa ggaacttcag gcaagcagtg cgcgaatttc ttttgatggc tgcgagcaag 1321 attgagaaca ctatgcatgt caagcggtta gtgagaagct cggcttcctc acctatctac 1381 ttgtcaagca tacactatga gtgtacattt gatgagataa aacagaacgt tttacagatc 1441 gtgcacgacg agcagttaca gatgcatctg ttacgtggtc cgaaacattt ccaaagacgt 1501 gctctgatgg cggctgttgt taagggtgtt aagatcttag aggggccaga tacgaaggcg 1561 ctcatgctac agggtttgta agtggctgaa aggtatcaag aatac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610680.1.gbk ================================================ LOCUS JQ610680 1605 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 6, complete sequence. ACCESSION JQ610680 VERSION JQ610680.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1605) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1605) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1605 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="6" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 22..1581 /note="outer capsid protein" /codon_start=1 /product="VP5" /protein_id="AFX73392.1" /translation="MGKFVKALKKIGRGTVKALTSDAAKKLYTTLGKAATRFAESEVG SAAIDGLIQGTAQTLLHGGSASENIKQAVVLGVLHSMETPADPLSPGEQGVYDKIKEI KREEKEDRFFEVYQEKIDEELGSDMKRMREVAKGDKQAIKEMGGEIKVIEKAFDGLIK IDKIQDMKLTQLYGALAKERTERTQDEIKMVNDYTGKIEALQSAITVERDAMQEEALQ EIIEMGTDVIETASEEVPIFGPAAANVVATGRMVEGTLKLKQVIEKLAGLDVSHTTRD RIEPKVINAILDHEGGVVPEKELAIGVYNKLQTVREHMAEHSHLKEMAIPRLQKLYTE HGDEWHPKIITQMKVAREHQPQIHIYCAPWESDDVFMLRVYAPHHIGCGLFLGVDLES EFIFYEDLIAENHVLRGGVIEVVGRNFRQAVREFLLMAASKIENTMHVKRLVRSSASS PIYLSSIHYECTFDEIKQNVLQIVHDEQLQMHLLRGPKHFQRRALMAAVVKGVKILEG PDTKALMLQGL" ORIGIN 1 gtataaaata cctcggtcat catgggcaaa ttcgtaaagg ccctgaagaa aataggaagg 61 ggtacggtga aggcactgac gtctgacgct gcaaagaaac tttatacgac tttaggaaag 121 gcggcgacgc ggtttgctga aagcgaagtc ggcagcgcgg cgattgatgg attgatacaa 181 ggaacagcgc aaactttact gcacggaggc agcgcgagtg aaaatatcaa gcaagcggtt 241 gttttaggtg ttctccacag catggaaacg ccggcggacc ctttatcacc aggagagcaa 301 ggagtatatg ataagattaa ggaaattaaa cgagaagaaa aggaagatcg gtttttcgag 361 gtttaccaag aaaagattga cgaagagctt ggttcagata tgaagcgaat gcgagaagtg 421 gcaaaaggtg ataagcaggc catcaaggaa atgggtggtg aaattaaggt tatcgagaaa 481 gctttcgatg gattgattaa aatagataaa attcaagata tgaaattaac gcagttatat 541 ggcgcgctcg cgaaagagcg tacggagcgt acgcaggacg agatcaaaat ggttaacgac 601 tacactggaa aaattgaagc actgcaatcc gcgataacag ttgagcggga cgctatgcaa 661 gaggaggcgt tgcaggagat aatagaaatg ggaacggatg taattgaaac cgcctccgaa 721 gaggttccga tattcggccc tgcggctgcg aatgtagtcg caactggacg aatggttgag 781 ggcaccttaa agttgaagca agtaatcgag aaattagcag ggttagatgt ttcgcacacc 841 acaagggaca gaatcgagcc gaaagttata aacgctatac tagatcacga ggggggcgtc 901 gtaccggaaa aggaactagc gattggtgta tataataagc tgcagacagt cagagaacat 961 atggcggaac acagccatct aaaggaaatg gcaataccaa ggctgcaaaa gctgtacaca 1021 gaacacggcg atgagtggca tccaaagata attactcaaa tgaaggtagc gagagaacat 1081 cagccgcaaa tacatatata ttgcgctcca tgggaatcgg atgacgtgtt tatgttgcga 1141 gtgtacgcgc cgcatcatat agggtgtggt cttttcttag gagttgattt agagagtgaa 1201 ttcatatttt atgaggattt gatagcagag aaccacgtat tgcgtggtgg cgtcattgaa 1261 gtcgttggaa ggaacttcag gcaagcagtg cgcgaatttc ttttgatggc tgcgagcaag 1321 attgagaaca ctatgcatgt caagcggtta gtgagaagct cggcttcctc acctatctac 1381 ttgtcaagca tacactatga gtgtacattt gatgagataa aacagaacgt tttacagatc 1441 gtgcacgacg agcagttaca gatgcatctg ttacgtggtc cgaaacattt ccaaagacgt 1501 gctctgatgg cggctgttgt taagggtgtt aagatcttag aggggccaga tacgaaggcg 1561 ctcatgctac agggtttgta agtggctgaa aggtatcaag aatac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610681.1.gb ================================================ LOCUS JQ610681 1166 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 7, complete sequence. ACCESSION JQ610681 VERSION JQ610681.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1166) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1166) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1166 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="7" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..1069 /note="T13 protein" /codon_start=1 /product="VP7" /protein_id="AFX73393.1" /translation="MDAIAARALSVIQDCISVGDGRINLDPGVMERLGIAINRYNGLT NNVVTIRPGTQDERNAMFFMCLDFALAALNIQIGVISREYTQALATIGVLATGEIPYS VAAMDTIVRISGTMATWGPTEYELPPYARSQMIQMSGRYYVPAGANSHAAHVDPTTVE ISLAAGVVVNVTNALQPRGVAPTMMYMVWHPLAIFANPQGATAASPQNMTLVVGGLNI AAGTIIAWDTVAPIQLSNQGGQEGMIAIRILWMTTLDKSMTSLPEMREIISRCYSFMH PSWHALRGTVLHSLNLPTNNPPMFAPATRQEALAYLILANLADAYTSLRPDFTIQGML AVPQVIDRQFVQGAYR" ORIGIN 1 gtataaatat ctagagatgg acgccattgc ggcacgtgct ctgtccgtga tccaggactg 61 cattagcgtt ggtgatggga gaattaattt agaccctggg gtcatggaga gattgggaat 121 tgctattaat agatacaatg ggctaacgaa caatgtggtg acgatcagac cagggacaca 181 agatgagcgg aacgcgatgt tttttatgtg tctggatttc gcgttggcgg cattgaacat 241 acaaattggg gttatatcta gggaatacac gcaggcgctg gccactatcg gtgtgctggc 301 aacgggagaa atcccttact cggttgccgc tatggatacg attgtacgga ttagcggaac 361 gatggcgaca tggggtccca ccgaatatga gttaccgcca tatgcgcggt ctcagatgat 421 acaaatgagc ggacgttact acgttccagc gggggcgaat tcacatgctg cccatgtcga 481 tcccacgacg gtagagattt ctttagctgc tggagtagta gtgaatgtta cgaacgcgtt 541 acagcctagg ggcgttgcgc ccacaatgat gtacatggta tggcatccgt tggcgatttt 601 cgcgaatcct cagggtgcta cagctgcttc gcctcaaaat atgactttgg tggttggtgg 661 gctgaatata gcagctggca cgatcatcgc ttgggatacc gtcgctccta tacagctatc 721 gaatcaggga ggacaagagg gaatgatcgc gatccggata ctatggatga caacattaga 781 taaatctatg acaagcttgc cggagatgcg tgaaataatc tcaagatgct atagctttat 841 gcacccttca tggcacgcgc tgcgagggac ggtcctacat tcgcttaatc tgccgactaa 901 taatccacct atgtttgcgc ctgctacgcg acaggaggca ttggcgtact taattctggc 961 aaatttagcg gatgcatata cgtcgttaag gcctgatttc accatacaag gaatgctcgc 1021 ggttccacag gtcattgaca ggcagttcgt tcagggtgcg tacaggtaga ggacgccttc 1081 cacagtgggc gtctcatgta gccccagcgt cggtccctta cgtgtgctgt aacgcgtagg 1141 tagaacgtca tatgatatta agttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610681.1.gbk ================================================ LOCUS JQ610681 1166 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 7, complete sequence. ACCESSION JQ610681 VERSION JQ610681.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1166) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1166) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1166 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="7" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..1069 /note="T13 protein" /codon_start=1 /product="VP7" /protein_id="AFX73393.1" /translation="MDAIAARALSVIQDCISVGDGRINLDPGVMERLGIAINRYNGLT NNVVTIRPGTQDERNAMFFMCLDFALAALNIQIGVISREYTQALATIGVLATGEIPYS VAAMDTIVRISGTMATWGPTEYELPPYARSQMIQMSGRYYVPAGANSHAAHVDPTTVE ISLAAGVVVNVTNALQPRGVAPTMMYMVWHPLAIFANPQGATAASPQNMTLVVGGLNI AAGTIIAWDTVAPIQLSNQGGQEGMIAIRILWMTTLDKSMTSLPEMREIISRCYSFMH PSWHALRGTVLHSLNLPTNNPPMFAPATRQEALAYLILANLADAYTSLRPDFTIQGML AVPQVIDRQFVQGAYR" ORIGIN 1 gtataaatat ctagagatgg acgccattgc ggcacgtgct ctgtccgtga tccaggactg 61 cattagcgtt ggtgatggga gaattaattt agaccctggg gtcatggaga gattgggaat 121 tgctattaat agatacaatg ggctaacgaa caatgtggtg acgatcagac cagggacaca 181 agatgagcgg aacgcgatgt tttttatgtg tctggatttc gcgttggcgg cattgaacat 241 acaaattggg gttatatcta gggaatacac gcaggcgctg gccactatcg gtgtgctggc 301 aacgggagaa atcccttact cggttgccgc tatggatacg attgtacgga ttagcggaac 361 gatggcgaca tggggtccca ccgaatatga gttaccgcca tatgcgcggt ctcagatgat 421 acaaatgagc ggacgttact acgttccagc gggggcgaat tcacatgctg cccatgtcga 481 tcccacgacg gtagagattt ctttagctgc tggagtagta gtgaatgtta cgaacgcgtt 541 acagcctagg ggcgttgcgc ccacaatgat gtacatggta tggcatccgt tggcgatttt 601 cgcgaatcct cagggtgcta cagctgcttc gcctcaaaat atgactttgg tggttggtgg 661 gctgaatata gcagctggca cgatcatcgc ttgggatacc gtcgctccta tacagctatc 721 gaatcaggga ggacaagagg gaatgatcgc gatccggata ctatggatga caacattaga 781 taaatctatg acaagcttgc cggagatgcg tgaaataatc tcaagatgct atagctttat 841 gcacccttca tggcacgcgc tgcgagggac ggtcctacat tcgcttaatc tgccgactaa 901 taatccacct atgtttgcgc ctgctacgcg acaggaggca ttggcgtact taattctggc 961 aaatttagcg gatgcatata cgtcgttaag gcctgatttc accatacaag gaatgctcgc 1021 ggttccacag gtcattgaca ggcagttcgt tcagggtgcg tacaggtaga ggacgccttc 1081 cacagtgggc gtctcatgta gccccagcgt cggtccctta cgtgtgctgt aacgcgtagg 1141 tagaacgtca tatgatatta agttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610682.1.gb ================================================ LOCUS JQ610682 1089 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 8, complete sequence. ACCESSION JQ610682 VERSION JQ610682.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1089) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1089) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1089 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="8" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 26..1057 /note="non-structural protein 2" /codon_start=1 /product="NS2" /protein_id="AFX73394.1" /translation="MAQEVKRKFTRTVCIYDPQNRTFCGRSAAMVCNSYYTIKMGRTT QCGVSPVPVPKSYVLEIPDVGSYRILDGQDSISVIVTETGVEATSERWEEWKFEGVNC VPMVVQTEIGKGLIDMEIKFSKGMGLVKPYVKNEVSRTEIPRLPGASVIDTPIRDYRQ LLKDQRDERRAALDAIACDICPTLSRMLGANITDGSPQVEEVATRPTQPPAQLKLDVP NWDQPTDSDDEDEESKRVTTQSNADTEEQVTFEDCITDQYFSKTGEFAKKYPEMLAGL SAKMPSETGRFTKILTTRKAQWNNVPLFELDPNGFTYHFSKLGNSTRIFCVQRDLSYM VLPAGQGLK" ORIGIN 1 gtaaaaaatc tcctctcttt tcacgatggc tcaagaagtt aagagaaagt tcactagaac 61 agtgtgcatc tatgatccac aaaatcgcac attctgtggt cgaagtgccg cgatggtgtg 121 taacagttat tatacaatta aaatgggtag aacgacgcag tgtggagtgt cgccggtgcc 181 cgtaccaaag tcatatgtgc tagagatacc ggatgttggc tcttatcgca tcttagatgg 241 gcaggattca atcagtgtca tcgttactga gacgggcgtc gaggcaacgt ctgagaggtg 301 ggaagagtgg aaattcgaag gcgttaattg cgttccgatg gttgttcaaa cggagattgg 361 gaaaggcctg attgacatgg agatcaagtt tagtaaggga atggggctcg ttaaacctta 421 tgtaaagaat gaggttagca gaactgagat cccacggcta ccgggtgctt cagtcattga 481 tacaccgata cgcgattacc gtcaactttt gaaggatcag agagatgaaa gaagggcggc 541 gctcgatgcg atcgcatgcg acatatgtcc cactctatca agaatgctag gggcgaatat 601 tacagacgga tcgccacaag tcgaagaagt cgcaacacgg ccaacacaac ctccagctca 661 gctgaagctg gatgtgccta actgggacca accgactgat tcagatgatg aggatgagga 721 atccaagcgc gtgacaacgc aaagtaatgc tgatactgag gaacaagtga ctttcgaaga 781 ttgcattacc gatcaatact tttcgaaaac gggtgaattc gcgaagaagt atcctgaaat 841 gttagcggga ctttccgcga agatgccgag tgaaacaggt aggtttacaa aaatattgac 901 gacgaggaag gctcaatgga ataacgttcc tcttttcgaa ttagatccaa acgggtttac 961 atatcatttt agtaagctgg gtaattcgac gaggatcttc tgtgtccaac gtgatttgag 1021 ctacatggtt ttacccgcag ggcaaggcct gaagtagcgg tgcatgtagc cgggagaggt 1081 acaacttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610682.1.gbk ================================================ LOCUS JQ610682 1089 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 8, complete sequence. ACCESSION JQ610682 VERSION JQ610682.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1089) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1089) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1089 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="8" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 26..1057 /note="non-structural protein 2" /codon_start=1 /product="NS2" /protein_id="AFX73394.1" /translation="MAQEVKRKFTRTVCIYDPQNRTFCGRSAAMVCNSYYTIKMGRTT QCGVSPVPVPKSYVLEIPDVGSYRILDGQDSISVIVTETGVEATSERWEEWKFEGVNC VPMVVQTEIGKGLIDMEIKFSKGMGLVKPYVKNEVSRTEIPRLPGASVIDTPIRDYRQ LLKDQRDERRAALDAIACDICPTLSRMLGANITDGSPQVEEVATRPTQPPAQLKLDVP NWDQPTDSDDEDEESKRVTTQSNADTEEQVTFEDCITDQYFSKTGEFAKKYPEMLAGL SAKMPSETGRFTKILTTRKAQWNNVPLFELDPNGFTYHFSKLGNSTRIFCVQRDLSYM VLPAGQGLK" ORIGIN 1 gtaaaaaatc tcctctcttt tcacgatggc tcaagaagtt aagagaaagt tcactagaac 61 agtgtgcatc tatgatccac aaaatcgcac attctgtggt cgaagtgccg cgatggtgtg 121 taacagttat tatacaatta aaatgggtag aacgacgcag tgtggagtgt cgccggtgcc 181 cgtaccaaag tcatatgtgc tagagatacc ggatgttggc tcttatcgca tcttagatgg 241 gcaggattca atcagtgtca tcgttactga gacgggcgtc gaggcaacgt ctgagaggtg 301 ggaagagtgg aaattcgaag gcgttaattg cgttccgatg gttgttcaaa cggagattgg 361 gaaaggcctg attgacatgg agatcaagtt tagtaaggga atggggctcg ttaaacctta 421 tgtaaagaat gaggttagca gaactgagat cccacggcta ccgggtgctt cagtcattga 481 tacaccgata cgcgattacc gtcaactttt gaaggatcag agagatgaaa gaagggcggc 541 gctcgatgcg atcgcatgcg acatatgtcc cactctatca agaatgctag gggcgaatat 601 tacagacgga tcgccacaag tcgaagaagt cgcaacacgg ccaacacaac ctccagctca 661 gctgaagctg gatgtgccta actgggacca accgactgat tcagatgatg aggatgagga 721 atccaagcgc gtgacaacgc aaagtaatgc tgatactgag gaacaagtga ctttcgaaga 781 ttgcattacc gatcaatact tttcgaaaac gggtgaattc gcgaagaagt atcctgaaat 841 gttagcggga ctttccgcga agatgccgag tgaaacaggt aggtttacaa aaatattgac 901 gacgaggaag gctcaatgga ataacgttcc tcttttcgaa ttagatccaa acgggtttac 961 atatcatttt agtaagctgg gtaattcgac gaggatcttc tgtgtccaac gtgatttgag 1021 ctacatggtt ttacccgcag ggcaaggcct gaagtagcgg tgcatgtagc cgggagaggt 1081 acaacttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610683.1.gb ================================================ LOCUS JQ610683 925 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 9, complete sequence. ACCESSION JQ610683 VERSION JQ610683.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 925) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 925) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..925 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="9" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 23..883 /note="helicase" /codon_start=1 /product="VP6" /protein_id="AFX73395.1" /translation="MLVLAPGDLIDGVRHQLSERGVRIRLRETNDDEQKDEPVDTGGG KPGDRIGKEVGNAESEQSSDKEKKAGGSSDSELGEGGDGRRQTEKAEGGENGTRDIGI QDKDKQFDRRANPDNALDRENRSGDPQLKYGFATKRIANAVESKYHCGGFEGPGSDGY IKLEMSIMKALGLNRDDHIEQLEFLKHQQKGPSKIQVRTIASETKLKEVCNIMDKPVA PTARSAVSVVSNRVEDVKEAQVYFTTPTGDRGWKEVARKASQTPNIRAYINPEGDDPK VSFLHLIDHL" CDS 111..512 /note="non-structural protein 4" /codon_start=1 /product="NS4" /protein_id="AFX73396.1" /translation="MMTSKRMNQWIREAASRVIESGRKLEMPRVNSLPIKRRRLEEVR IQSSGKVEMEGDKLRRLKAERMELEILAFRIKTNNLIGALIQITRWTEKIDQEIRNLN MDLQPNELQTPLSQSTTAVDLRGQDRMDTSN" ORIGIN 1 gtataaaaca tcctcccatg tcatgttggt gttggcaccg ggtgatctca tagacggagt 61 gcgtcatcaa ttatctgaaa gaggagtcag gattcgttta cgggaaacga atgatgacga 121 gcaaaaggat gaaccagtgg atacgggagg cggcaagccg ggtgatcgaa tcgggaagga 181 agttggaaat gccgagagtg aacagtcttc cgataaagag aagaaggctg gaggaagttc 241 ggattcagag ctcggggaag gtggagatgg aaggcgacaa actgagaagg ctgaaggcgg 301 agagaatgga actagagata ttggcattca ggataaagac aaacaatttg atcggcgcgc 361 taatccagat aacgcgttgg acagagaaaa tcgatcagga gatccgcaac ttaaatatgg 421 atttgcaacc aaacgaattg caaacgccgt tgagtcaaag taccactgcg gtggatttga 481 ggggccagga tcggatggat acatcaaact agaaatgtca ataatgaagg cgctaggttt 541 aaaccgagat gaccacatcg aacaattgga gttcctcaag caccaacaga aagggcccag 601 caaaattcaa gtcagaacga tcgcttccga aaccaaatta aaagaggtgt gtaatataat 661 ggacaagccg gtggctccca cagcgagaag tgcggtgagt gtagttagta accgtgttga 721 agacgtgaag gaagcccagg tgtattttac aactccaaca ggagatagag gctggaaaga 781 agtagcaagg aaagcgagcc agacaccaaa cattcgagcg tacattaatc cggagggaga 841 tgatcctaaa gtctcatttc tgcatttaat cgatcatctg tgaggtcacg gtctgaacta 901 cgggcatgct gggtgtttca gttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610683.1.gbk ================================================ LOCUS JQ610683 925 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 9, complete sequence. ACCESSION JQ610683 VERSION JQ610683.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 925) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 925) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..925 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="9" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 23..883 /note="helicase" /codon_start=1 /product="VP6" /protein_id="AFX73395.1" /translation="MLVLAPGDLIDGVRHQLSERGVRIRLRETNDDEQKDEPVDTGGG KPGDRIGKEVGNAESEQSSDKEKKAGGSSDSELGEGGDGRRQTEKAEGGENGTRDIGI QDKDKQFDRRANPDNALDRENRSGDPQLKYGFATKRIANAVESKYHCGGFEGPGSDGY IKLEMSIMKALGLNRDDHIEQLEFLKHQQKGPSKIQVRTIASETKLKEVCNIMDKPVA PTARSAVSVVSNRVEDVKEAQVYFTTPTGDRGWKEVARKASQTPNIRAYINPEGDDPK VSFLHLIDHL" CDS 111..512 /note="non-structural protein 4" /codon_start=1 /product="NS4" /protein_id="AFX73396.1" /translation="MMTSKRMNQWIREAASRVIESGRKLEMPRVNSLPIKRRRLEEVR IQSSGKVEMEGDKLRRLKAERMELEILAFRIKTNNLIGALIQITRWTEKIDQEIRNLN MDLQPNELQTPLSQSTTAVDLRGQDRMDTSN" ORIGIN 1 gtataaaaca tcctcccatg tcatgttggt gttggcaccg ggtgatctca tagacggagt 61 gcgtcatcaa ttatctgaaa gaggagtcag gattcgttta cgggaaacga atgatgacga 121 gcaaaaggat gaaccagtgg atacgggagg cggcaagccg ggtgatcgaa tcgggaagga 181 agttggaaat gccgagagtg aacagtcttc cgataaagag aagaaggctg gaggaagttc 241 ggattcagag ctcggggaag gtggagatgg aaggcgacaa actgagaagg ctgaaggcgg 301 agagaatgga actagagata ttggcattca ggataaagac aaacaatttg atcggcgcgc 361 taatccagat aacgcgttgg acagagaaaa tcgatcagga gatccgcaac ttaaatatgg 421 atttgcaacc aaacgaattg caaacgccgt tgagtcaaag taccactgcg gtggatttga 481 ggggccagga tcggatggat acatcaaact agaaatgtca ataatgaagg cgctaggttt 541 aaaccgagat gaccacatcg aacaattgga gttcctcaag caccaacaga aagggcccag 601 caaaattcaa gtcagaacga tcgcttccga aaccaaatta aaagaggtgt gtaatataat 661 ggacaagccg gtggctccca cagcgagaag tgcggtgagt gtagttagta accgtgttga 721 agacgtgaag gaagcccagg tgtattttac aactccaaca ggagatagag gctggaaaga 781 agtagcaagg aaagcgagcc agacaccaaa cattcgagcg tacattaatc cggagggaga 841 tgatcctaaa gtctcatttc tgcatttaat cgatcatctg tgaggtcacg gtctgaacta 901 cgggcatgct gggtgtttca gttac // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610684.1.gb ================================================ LOCUS JQ610684 761 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 10, complete sequence. ACCESSION JQ610684 VERSION JQ610684.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 761) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 761) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..761 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="10" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 20..703 /note="non-structural protein 3" /codon_start=1 /product="NS3" /protein_id="AFX73397.1" /translation="MYRDLLNIHTEMRGPPSYEPSGLAQATAPTMRFGDREDEEGLLR ARELSLNVLTNAMTNTTGANEAIKNEKAMFGAYADALRDTPEIRVVKRRINERTLEKL HKMRRSLHGRRMFVRMLLAINVGLALLTSAVNVVRQSLDDFGKERWIVGGVWWLGEVV VTINFGTTVATLVLMRIHGALNAQLQTIKRDIYKKSSYNEAAAMHWKGEISLIEELAA SHVPAGSNV" ORIGIN 1 gtataaaatt ccgttcgcaa tgtaccgtga cttgctgaat attcacactg aaatgagggg 61 cccgccatct tatgaaccta gtggcttagc tcaagcgaca gcaccgacta tgaggtttgg 121 ggatagagaa gatgaggaag gcctattgag ggcgcgcgag ctttcgctta atgtgttaac 181 gaatgctatg actaatacaa cgggtgcgaa tgaggcgatt aagaatgaga aagcgatgtt 241 tggggcatat gccgatgcac ttagggatac tccggagatt agggtggtga aaaggcggat 301 aaatgaacgt acgttagaaa agttgcataa aatgcgacgt tcgctgcacg gaagacgaat 361 gttcgtacga atgttgttgg cgataaatgt gggattggcg ctattaacct cggcagtgaa 421 tgtggtacgc cagtcgctag atgattttgg gaaagaaagg tggatagttg gtggagtgtg 481 gtggttaggt gaggtcgtcg ttacgattaa ttttggaacg actgttgcta cgttggtatt 541 aatgaggata catggcgcat taaacgcgca gcttcaaacc attaagcgtg acatatataa 601 gaaaagctcg tataatgagg ccgctgccat gcattggaaa ggtgaaatta gcttaattga 661 ggagctagcg gcgagccacg tacctgcggg atcgaatgtc tagtccgcga catcgaaaaa 721 ttcacttgtc caggtgaagc ccgtagaacg gatcgtctta c // ================================================ FILE: tests/input/TestGenbankRecordFetch/JQ610684.1.gbk ================================================ LOCUS JQ610684 761 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 10, complete sequence. ACCESSION JQ610684 VERSION JQ610684.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 761) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 761) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..761 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="10" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 20..703 /note="non-structural protein 3" /codon_start=1 /product="NS3" /protein_id="AFX73397.1" /translation="MYRDLLNIHTEMRGPPSYEPSGLAQATAPTMRFGDREDEEGLLR ARELSLNVLTNAMTNTTGANEAIKNEKAMFGAYADALRDTPEIRVVKRRINERTLEKL HKMRRSLHGRRMFVRMLLAINVGLALLTSAVNVVRQSLDDFGKERWIVGGVWWLGEVV VTINFGTTVATLVLMRIHGALNAQLQTIKRDIYKKSSYNEAAAMHWKGEISLIEELAA SHVPAGSNV" ORIGIN 1 gtataaaatt ccgttcgcaa tgtaccgtga cttgctgaat attcacactg aaatgagggg 61 cccgccatct tatgaaccta gtggcttagc tcaagcgaca gcaccgacta tgaggtttgg 121 ggatagagaa gatgaggaag gcctattgag ggcgcgcgag ctttcgctta atgtgttaac 181 gaatgctatg actaatacaa cgggtgcgaa tgaggcgatt aagaatgaga aagcgatgtt 241 tggggcatat gccgatgcac ttagggatac tccggagatt agggtggtga aaaggcggat 301 aaatgaacgt acgttagaaa agttgcataa aatgcgacgt tcgctgcacg gaagacgaat 361 gttcgtacga atgttgttgg cgataaatgt gggattggcg ctattaacct cggcagtgaa 421 tgtggtacgc cagtcgctag atgattttgg gaaagaaagg tggatagttg gtggagtgtg 481 gtggttaggt gaggtcgtcg ttacgattaa ttttggaacg actgttgcta cgttggtatt 541 aatgaggata catggcgcat taaacgcgca gcttcaaacc attaagcgtg acatatataa 601 gaaaagctcg tataatgagg ccgctgccat gcattggaaa ggtgaaatta gcttaattga 661 ggagctagcg gcgagccacg tacctgcggg atcgaatgtc tagtccgcga catcgaaaaa 721 ttcacttgtc caggtgaagc ccgtagaacg gatcgtctta c // ================================================ FILE: tests/input/TestGenbankRecordFetch/orungo.gb ================================================ LOCUS JQ610675 3942 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 1, complete sequence. ACCESSION JQ610675 VERSION JQ610675.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 3942) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 3942) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..3942 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="1" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..3921 /note="RNA-dependent RNA polymerase" /codon_start=1 /product="VP1" /protein_id="AFX73387.1" /translation="MVITVEGAWLVRRALQRFLKFSKIDGESAVYEFYRYSSNIREIR RKHGTRYKMHDEELERRRDSGKLRFKGMQVVVESTWMEILGKGRTTDEIEIFRSSILS LDELNPEEEFLRNYASSDKEHPSYLFVRGRAVNEMQIYGDMPIKAWLSFLVECEVEYG YKLFGMEVARSFVQSFGSPFHQNSRDLSQIDDMAPAFTSPLLFEMCCMTSILEINIRM RMLEERVATLKFGEREIDPLEVLKEFFRICIPHPKKINNMLRAPYSWFVKLWGVSYHE PIVLTARGGEDKNSKDIFFTGFHRVKNPYSIMLKKSRFFKKSLDENISKVKEAIDYSN SLTGMSLGLPVFLSMLQNVYDTEFNPTMVQHVLLASFLLSIQTITGYGRAWVKNVSSD NDTQMRPAEDNFIDRVAKQTEINFIQAYEEALGHGEDIVKPEDMFTSILRLARNTSSG FSTAVDVYKRFGPKSGGRGERVKITSRIKALVIFTKGHEIFTAENLAKRYDTEEDYQT KGSRDVPIKATRTIYSINLSILIPQLILTLPLNEYFARFGGSTAPDSRSLGGKVIIGD LEATGSRTIDAADTFRNSSDPEIFTIAIDYSDYDQHLTVFNFRNGMLEGIRSAMKRYK ELRYDGYTLNELIEFGYGEGRIVNSKWNGKRRVKSVRMSDYMALSESQRAQGTFKPPQ GVRPVSSMQVFDSVGEASGGDTLLISPTDGSDLATVNTHLSGENSTLVANSLHNMAIG RIIQEEIRKNHRAAFTFESEQYVGDDTLLYAKLNTLNHEIFDKAIDTIFDTVGKCGHV ASAAKTLIAPFSVEKTQTHAKQGIYIAQDRMMIISSERRKDIEDVQGYMRSQVSVMAT KVSRGFSHELAQLVFMMKSSIVGFRKLKRTVVEDGVYRDRALDSEDEDGFTLMQIRDP LVAFYPAEWNGYGMHPVALNIVMTEDMFIDTSTMVEFQHVMRPLLRFMGRIPPVWNET KADKRQISSITKMSFFSKMARPAVRAVLANSELSDQVRTLPLGDFSPFNLSATMMHSA LLKEPRARALLTPAYEKEFQSELNSNRDSEVNFVGRNMEINTNYMKLFDVDLSTRIVA KQFSFPDQNMSLPFYFQKLLIGHRPVARMRMTYIDRIDQILRGDVVMRGFITANTIMS VLEKIGTAHAVQDLTTIFQLMNIESKVAHRLAEYIASERVRFDALSIAKRGICGDEFS MSLDVCTERFAERFMELPAQFTKTERDIAILYAAQLTMLRCAANLDLRKIKIGVSADH VKRFKQRQARFKTHLPKMRTVTRLITPERISARLVQHQFT" ORIGIN 1 gtataattag gaatggtcat cactgtggaa ggtgcgtggc tggtgagacg ggcgttgcaa 61 cgttttttga agttcagtaa aatcgacggg gaatcagcag tttatgagtt ctataggtat 121 tcaagtaata ttcgtgaaat aagaaggaag catgggacgc gttataaaat gcatgatgaa 181 gagttggagc ggaggcgtga ttcgggcaaa ctgcgtttta aaggtatgca agttgtggta 241 gagtcgactt ggatggagat tttagggaag ggacgtacga cggacgaaat cgagatattc 301 agaagttcga ttttatcgtt ggatgaactg aatccggaag aagaatttct gcgcaattat 361 gcgagttcgg acaaggaaca tccatcctac ttgtttgttc gggggcgggc ggtcaatgag 421 atgcagattt atggcgacat gccgataaaa gcgtggttga gctttttagt agaatgtgag 481 gttgaatatg ggtacaaact cttcggaatg gaagttgcga gatcgttcgt tcagagcttt 541 ggatctccgt ttcaccagaa ctcgcgtgat ctatcacaga ttgacgatat ggcgcctgct 601 tttacgtcac ctttattatt tgaaatgtgt tgtatgacat caattctcga aattaatata 661 cgcatgcgta tgctggagga gagggttgca accctaaaat ttggtgagcg ggagatcgac 721 ccacttgaag tactaaaaga attcttccga atctgcattc cgcatccgaa aaagattaat 781 aatatgttga gagctccata ctcatggttc gtcaagctgt ggggcgtatc gtatcatgag 841 ccaatagtcc tgacggcgag gggcggcgag gataagaact cgaaagacat attctttacg 901 ggatttcaca gagtcaagaa tccatactca ataatgttga aaaaatcgag gttttttaag 961 aaatctttag acgagaatat cagcaaagtg aaagaagcga tagactattc aaactcgttg 1021 acggggatgt ctttagggct gcccgtattt ctatccatgc tacagaatgt gtacgacact 1081 gagtttaatc cgactatggt tcaacacgtg ttactagcgt cgttcttgtt gagtatccaa 1141 acaataactg gctatggacg cgcttgggtg aaaaatgtgt caagcgataa cgacactcaa 1201 atgcgcccgg cggaggacaa cttcattgat cgagttgcta agcaaacgga gattaatttt 1261 atacaggcgt atgaagaggc gttggggcac ggagaagata tcgttaagcc agaagacatg 1321 tttacctcca ttttgcgttt ggcaagaaat acaagttccg gcttctctac tgctgttgac 1381 gtttataaac gattcggtcc aaagtcggga gggagaggag aacgcgttaa gataacatca 1441 agaattaaag cattagttat cttcacaaag ggccatgaaa tatttacagc tgaaaatctc 1501 gcgaaaagat atgatacgga ggaagattac cagactaaag ggtcacggga tgtacctatc 1561 aaagcaacgc ggacgattta ttcaataaac ctctccatct tgatcccgca gctgatccta 1621 actttaccgt tgaatgaata ttttgcccgg ttcggaggat caactgcacc tgactcacgt 1681 agcctagggg gtaaggtgat tatcggagat ctagaagcaa cgggatcacg gacgatcgat 1741 gcggcagata cgtttagaaa ttcgtccgac ccagaaattt tcacaatagc gatcgattat 1801 tcggattacg atcaacattt gacggttttt aacttcagga acggtatgct ggaaggaatt 1861 cgctctgcga tgaagagata taaagagttg aggtatgatg gatacacgtt gaatgaattg 1921 attgaattcg ggtatgggga ggggagaatt gttaattcga aatggaacgg aaagaggcgg 1981 gtcaaatctg tacgaatgag cgattatatg gcattgagtg aaagtcaacg cgctcagggc 2041 actttcaagc cgccgcaggg agtgagaccg gttagttcaa tgcaagtgtt cgattcagtg 2101 ggtgaggcat ctggagggga tactctcctc atctcgccca ctgacggatc ggatttagca 2161 accgtcaaca cgcatttgtc gggtgaaaat tcaacgttag ttgctaactc tttgcataat 2221 atggctatcg gacgtatcat acaagaagag atcagaaaga accatcgagc ggcttttacc 2281 tttgaatctg agcagtacgt tggagatgat acgttacttt atgcaaagtt gaacacatta 2341 aaccatgaaa tttttgataa agcgattgat accatcttcg atactgtggg aaagtgcgga 2401 catgtggcat cggcagcgaa aacccttatc gctcctttct ctgttgaaaa aactcagact 2461 catgcgaagc aaggaattta cattgcgcag gatcggatga tgatcatctc ttcagagcgt 2521 agaaaggata tcgaggacgt ccaagggtat atgagatcac aagtgtcggt tatggcgaca 2581 aaagtaagcc gcggctttag tcatgaactg gctcagcttg tctttatgat gaagagcagc 2641 atcgtaggct ttcgtaaact gaagcgaact gtggtggagg atggtgtata ccgtgatcgc 2701 gcgttggatt cggaagatga ggatggcttc actttgatgc agatccgtga tccgttggtc 2761 gccttctacc ctgctgagtg gaacggctat ggcatgcatc cagtcgcttt gaatatcgtc 2821 atgacggaag acatgtttat agacacgagt accatggttg agtttcagca tgtaatgcgg 2881 ccgctccttc gatttatggg taggatacct ccagtgtgga atgaaactaa agccgataaa 2941 cgtcagattt catccataac aaagatgagt ttcttctcca aaatggctag accagcggtg 3001 agggcggttc tggcgaatag tgaactgtca gatcaagtga gaacattgcc actgggcgac 3061 ttttcgcctt tcaatctctc cgcaacaatg atgcactcag cattattgaa agaaccacgc 3121 gcgcgtgccc tgctgacgcc agcctacgaa aaagaattcc agtcagagtt gaattcaaac 3181 cgggatagcg aagtaaattt cgtcgggagg aacatggaga tcaacactaa ttatatgaaa 3241 ctgttcgatg ttgatttgtc tacgcgaata gtggccaaac aatttagttt tccagatcag 3301 aatatgtcgt tgccttttta ttttcagaaa ctcttgattg gacatagacc ggtcgcgcgg 3361 atgagaatga cctatattga ccggattgac caaatcttac ggggagacgt cgtgatgagg 3421 ggtttcatca cagcgaatac tattatgtcc gttttagaga agattggcac tgctcacgcc 3481 gtacaggact taacaacaat atttcagttg atgaacattg aatctaaggt ggcgcatagg 3541 ctagcggagt atatcgcttc tgaaagggta agattcgacg cgctctcgat tgcaaagagg 3601 gggatatgcg gggatgaatt ctccatgtcg ctggatgtgt gcacggaacg gtttgctgaa 3661 cggttcatgg aactaccagc gcagtttact aaaactgaga gagatatagc gattttatat 3721 gccgcgcagc taactatgtt gcgctgtgcg gctaacctag atcttaggaa aattaagatt 3781 ggggtttcag cggatcacgt taagagattt aaacaaagac aggctagatt taagactcat 3841 ctacctaaaa tgcgtacagt cacgcggctg ataacgcctg aacgaatctc cgcacgcctg 3901 gttcagcatc agtttacatg acgcaccacc taatcaactt ac // LOCUS JQ610676 2933 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 2, complete sequence. ACCESSION JQ610676 VERSION JQ610676.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2933) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2933) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2933 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="2" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..2899 /note="T2 protein" /codon_start=1 /product="VP2" /protein_id="AFX73388.1" /translation="MAFERTVALTREFANETRQHFGKFDIVVNTESSIEDEATGEWEF ARSDGRLGIYEELHNSIAYKHYTAILKGPENYLNIPQIFESKIYKNLNRDDLLARYDY SQILRFRDSKIAGRLRMQTYFGDVHVSAGLIDCVAMVREPIRREGCQHMMVRSFDLMN AGQFFDVHAPKIHAFDDTVIVESMDIENGVWRVKAGGVGLKTLQEKAEGILGDSVLDL VHNYLSQKWDAGYVAAKLLRFDETYKFHPIHEVGIFNTLMIRMGQLDDAYRDGFFDYD EIHAQLMRDVTFQYPEGKPVFRRDGQFFKNLVQYSGRAKIGYETYLPDRELWTEWRTR SSVQDVVPKYMEWLIGRLQLGKMLKIMSELPADVTMPNYLLKAITYKSSVYVKRLILT YIALRMTFGRCPVNKKGTLASSVLGFLHAVIPNLEEFLRKAGITDELCVKMEFTPRLT VMEREDRKSDRYAVVLQVYRERKLEVFTPIDSDLFEDRKKYYDEILKDKRWRGEETDY FFKDSGIHRSQVAGLSAEQLTLKKLGRDSDFNDPKRFVSYRYRYVSVKAGDIYAEGES VITGPLLTLIPHAYEFGRVSLIAGQSRDQSKLDNVPVYRDHMKSLELNGVEVGYDTWC PSGRAVQVNLELISTILYNAFKRPIVKGALCHFGMWEFYNPRRPAYESVDVTIMNAIS DITGSKRWAYQEIQDWLARFIKGSRVDMVTHRFHGVTKKPTTRGEIWIWNLLLVLISN PSLVVSQTDKFPLWVCASDGLHLISTGVRHTDHFRLWEWLPYTEKIGNDDYMSVLATD RELRLFEIALEYFETIRIGYRRDEWTHLKSNMFNTWLGTHCGGVGDGMILFDPVRLPS PSSVLYLICSHNSTLEGMMYLLHDIYGKIVEENTGTVFIRVHARGCKCSVCRGGLQGV DVKNRSAMRVRSMPGNIGFDSVNLILSTSTTSAFGNSYIYFKLINR" ORIGIN 1 gtataattga tccgcgatgg ctttcgagcg tacggtagcc ttaacaagag agttcgcaaa 61 tgaaacaaga cagcattttg ggaagtttga tatagttgta aacacggaaa gcagtattga 121 ggacgaagca acgggtgagt gggagttcgc acgaagtgat gggcggcttg gcatctatga 181 agaattgcat aatagcatcg cttataaaca ttatacggcg atactaaaag ggccggaaaa 241 ttatttgaat attccgcaga tttttgagtc gaaaatctat aagaatttga atagggatga 301 tctattggcg agatatgatt attcacaaat actaagattc cgagatagta agatagcggg 361 ccgattgagg atgcagacgt atttcgggga cgtgcatgta agtgcgggac tgatagattg 421 tgtagcgatg gttcgtgagc ctattagaag ggaagggtgt cagcatatga tggtacgtag 481 ttttgatttg atgaatgcgg gccagttttt cgatgttcat gcgccgaaga tccacgcgtt 541 tgatgacacg gtgatagttg aaagcatgga catcgaaaac ggagtatggc gcgtaaaggc 601 gggtggcgta ggtttgaaaa cgctgcagga aaaagcggaa ggaatactcg gagattcagt 661 gttagactta gtccacaact atctcagcca aaagtgggac gcaggttatg tggccgcgaa 721 gttgctgagg tttgatgaga catataaatt tcatccaatt catgaggtgg gaattttcaa 781 cacattgatg atacgcatgg gtcaactcga tgacgcgtat agggatgggt tcttcgatta 841 tgacgagatt cacgctcaat tgatgaggga tgtgactttt cagtacccag aaggtaagcc 901 agtctttcgg agagatggcc aattctttaa aaacctagtg cagtattcgg gacgggcgaa 961 gattgggtat gagacgtatt taccagacag ggaattgtgg actgaatggc gaacgagatc 1021 atccgtgcaa gatgttgtac ccaagtatat ggaatggttg ataggtagat tacagttggg 1081 gaaaatgctt aaaataatgt cggaattacc agcggatgtt acgatgccca actatctttt 1141 gaaagccatt acatataaat cgagtgtata tgttaagaga ttgatactca cgtacatcgc 1201 tttacgaatg acgtttggac ggtgtccagt aaacaaaaaa ggaacgcttg cctcatcagt 1261 cttaggtttt ctacacgcgg ttattccgaa tctggaggaa tttctgagga aagcgggaat 1321 aacggatgaa ctatgtgtta aaatggagtt tacgccgaga cttactgtga tggagagaga 1381 ggataggaag tcagacagat acgccgttgt cttgcaagtt tatagggaga ggaagctgga 1441 ggtttttacg cctatagact cagacttgtt cgaagatcgg aaaaagtact atgacgagat 1501 cttgaaagat aaaagatggc gtggagaaga gactgattat ttttttaaag actcagggat 1561 acaccggtcc caggtggctg ggttgagcgc agagcagctc acgttgaaaa agttaggacg 1621 cgactcagat ttcaacgacc ctaaacggtt cgtttcatac agatatagat atgtatcagt 1681 taaagcggga gatatctatg cagaagggga gagcgttata acgggaccat tattgacact 1741 gattccacat gcctacgagt tcggacgagt atctttgatt gcggggcagt ctcgagatca 1801 atcaaagttg gataatgtcc cagtctaccg tgaccacatg aaatccttgg agttaaatgg 1861 cgtcgaagtt ggctatgaca cttggtgtcc gtcggggcgt gcagtacaag ttaacttgga 1921 gttgatatct accatcctgt ataacgcgtt caaacgtccc atcgttaagg gagcattatg 1981 tcacttcggt atgtgggaat tttataaccc gagacgtccc gcgtatgagt cagtagacgt 2041 gacaatcatg aatgcgatct cggatatcac tgggagcaaa agatgggcat atcaggaaat 2101 tcaagattgg ttggcgagat ttattaaggg gtcacgggtt gacatggtga cacaccgctt 2161 ccacggggta acgaagaagc caacaactcg aggtgagata tggatctgga acctactact 2221 agttttgatc tcaaatccca gtctggtggt atcacaaacg gataaatttc ccttatgggt 2281 ttgcgcctct gatggcttac acctgattag tacgggagtg aggcataccg atcattttag 2341 actttgggag tggctaccat ataccgaaaa aattgggaac gacgattata tgtcggttct 2401 cgccacagat agagagttgc ggcttttcga aatcgcgttg gaatacttcg agactatacg 2461 cattggatat aggagagatg aatggacgca tttgaaatcg aacatgttta atacctggct 2521 ggggacgcat tgtgggggtg taggggacgg gatgatattg tttgacccgg tgagattacc 2581 atccccgagc agcgtccttt atttgatctg ttcgcataac tcaactttag aaggaatgat 2641 gtatttacta catgatatat acgggaagat cgttgaagag aatactggta ctgttttcat 2701 aagggtacac gcgcgaggtt gtaagtgctc ggtgtgccga gggggtttac agggagttga 2761 cgtaaagaat aggtcagcta tgcgtgttcg tagtatgcca gggaacatcg gcttcgattc 2821 agtcaaccta attctttcaa catcaacgac gagcgcgttt gggaactctt acatttactt 2881 taagcttatt aatcgttagt gaggtgacac tcgctccgcg atcacgcaga tac // LOCUS JQ610677 2781 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 3, complete sequence. ACCESSION JQ610677 VERSION JQ610677.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2781) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2781) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2781 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="3" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 18..2738 /note="outer capsid and cell attachment protein" /codon_start=1 /product="VP3" /protein_id="AFX73389.1" /translation="MAHADAKGSDPEREALRKNPYLDGDVLGTAGGQVLSVFALTEIL QKVRQTQAELAAHAIDLDGPVPEITGVIKKIAELVDTVPYEVRDSPPISYKTLSMQSR DFVIQVDQYYEQISQIGGDVGEDEPMEFYKTMLEKVRYLRKSGAFILRGIKTRDYRGN EVAEPEALGVEFREVLSNFIAADRQVIQNALDAAIVENGQVGDRAVDVYMAAVSEPWY RIYNRLQAYIEVTQLRELRRAMEWLNALGRRKRVEYDDSFLTDFRARDTVWVQTQQLP VNARVIWEVPRSYIANLMMNIALCLPLGDFIAPNPRIGSITITQRITMTTPFGMMSGM TPTSMQMDDVKKIYLALLFPGQIVLNIKPDPAHSIDPVLRMVSGVLGHLMFTYGPRFT NITATTSQLLDSALSDYFLYMQNSRVPVVYGPTGLPLDFRIGGRQGYDCNNLRGDPQT GRGYNGWGVVDVDRRAPSPYDLVQRFIRYCNIDSREIIDPRTFGFNMNYPLYMEMIRA LVAGGKDQEAAYLRQMLPFHMIRFARINQIINEDLLSAFSLPDEDFDALFFNMLRGEY GKAEPIVLDISWASIWFAFNRYFDPVQRSDLLSVAPMIEAVYASEISILQLDMINLQQ LRARAPDMLINATPSQFWKAALASAAEPVVELMNLSQSFRFINVRDIIQWTRTREVQP SLALTLEREAWAVAADFEELMLVNHVYFHRSVVPEPQLDDIDEFRRQGFLYTNLLEAA PPRLLITNYDYNVALLQANLGQFKSALRRILDDGGWVMFGGMLRNVRLKIYDSKPGED VLSELPYLYSEKVENGLRFVSLKYARRATIYFLMYKVEYSNTPDALISVNPTYTMTKI YTNKRLVRKVRSPDVLNIVNKRVVAYKTKMRLIDITSALRLGVKLAAPTV" ORIGIN 1 gtatatattc cttcgcgatg gcgcatgcgg atgctaaagg aagtgatccg gagagagagg 61 cgttgaggaa gaacccttat ctagatggag acgtcttggg aaccgcaggc ggccaagttt 121 tgtcggtttt cgcattgacc gaaattttac aaaaagtaag acagacgcaa gctgaactgg 181 ccgcacacgc aatcgatttg gatggaccag tccctgagat caccggggtt attaagaaga 241 tagcggagtt agttgacacc gttccatatg aagtgcgcga ttcaccacct ataagctata 301 agactttaag catgcaatcg cgcgactttg tcatccaggt ggaccagtat tacgaacaga 361 tttcgcaaat tggaggagac gtcggggagg acgagccgat ggagttctat aaaacaatgc 421 tagaaaaggt acgctattta aggaagagtg gagcattcat tttgagaggt attaaaacac 481 gagactatag gggtaatgaa gtggcggaac cagaagcttt aggagtcgaa tttcgtgaag 541 tactttctaa ttttattgcg gcggatagac aagtgataca gaatgcgtta gatgcagcca 601 tagttgaaaa tggccaggtg ggtgataggg cggtcgatgt ttatatggct gctgtttctg 661 agccatggta tcgaatatat aataggttac aggcgtatat tgaagttacg caactgagag 721 aattgaggcg cgcaatggag tggctgaatg cacttggtcg tcgtaagaga gtggagtatg 781 atgattcatt cttgaccgat tttcgagcga gagatacggt atgggtgcag acgcaacagc 841 ttcccgttaa cgctcgtgtg atctgggagg ttccgaggtc atatatagct aatttgatga 901 tgaatatcgc gttatgtctg ccactaggtg atttcatagc cccaaacccg aggattgggt 961 cgataacgat aacccagcga ataactatga ctacgccttt tgggatgatg tctgggatga 1021 cccccacatc aatgcagatg gacgatgtca agaagatata tctcgcgttg ctctttcccg 1081 ggcagatcgt tttgaatatt aaacccgacc cagcgcactc catcgatccg gtactgcgta 1141 tggtttcggg tgtgttgggg catttgatgt tcacctacgg tcccagattt actaacataa 1201 cagctacaac atcgcagttg ctagatagtg ccttgagcga ctattttctg tacatgcaaa 1261 acagtagagt tccggtggtg tacggaccaa ctgggttacc tttggatttt agaatcggtg 1321 gacgacaagg ctatgattgc aataatctgc ggggagaccc gcagactggg agggggtaca 1381 atggatgggg agtcgttgac gtcgatcgaa gagcacccag tccgtacgat ttggttcaaa 1441 gatttatacg ttactgcaac atagactctc gcgagatcat cgacccacgg acgtttggat 1501 ttaatatgaa ctatccgcta tatatggaga tgatacgtgc attagttgcc ggaggaaaag 1561 atcaggaagc ggcgtaccta cgacaaatgt taccttttca catgatcaga ttcgcacgga 1621 tcaatcagat aataaacgaa gacttactta gcgcgttttc cttaccagat gaggatttcg 1681 acgcattatt tttcaatatg ctgcgcggcg agtatggaaa ggctgagccg atcgttttag 1741 atatcagttg ggcttcaatt tggtttgcgt tcaaccgcta ctttgaccca gtccaaaggt 1801 cagatctatt atcagtggca cccatgattg aggctgtcta tgcgtcagaa atctccattt 1861 tgcaattgga tatgatcaac ctgcagcagt tgagagcgag ggcacctgat atgttgatta 1921 acgcaactcc gagtcagttt tggaaagcgg cgttagcatc cgcagcagaa ccagtagttg 1981 agttgatgaa tctttcgcag agttttcgat tcattaacgt cagggatata atacagtgga 2041 ctagaacacg agaagtgcaa ccgtcgctgg ctctcacttt ggaacgagag gcgtgggcgg 2101 tcgcagctga cttcgaagag ttgatgctcg taaaccatgt ctattttcat agatcggtgg 2161 ttcccgaacc acagttggat gacatcgatg aatttcgtag gcaaggattc ctgtacacaa 2221 atctattgga agcggccccc ccgcgtttgt taatcaccaa ttatgattac aacgttgcgc 2281 tactgcaggc gaatcttgga caatttaaat ccgctttgag gagaattctg gatgacggtg 2341 gttgggtgat gttcggggga atgctgagaa atgttcgttt gaaaatatac gattcaaagc 2401 cgggagagga cgtcttaagc gaactaccct atctttactc cgagaaagtg gaaaacggtt 2461 taaggtttgt gtctttgaag tatgcgagac gagcaactat ttatttttta atgtataagg 2521 ttgaatattc aaacacacca gatgctttaa tatcagtcaa ccccacgtat accatgacga 2581 agatttatac aaacaagaga ctggtccgga aagtcaggtc acctgacgtt ttgaacatcg 2641 ttaataaaag agtagtggct tataaaacga agatgcggtt gattgacatt acatcggcac 2701 tgcgtcttgg tgttaaactt gcagcaccta cagtgtgaat tgaccactca acctgtggtg 2761 ctcggtgggg aattcgctta c // LOCUS JQ610678 1957 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 4, complete sequence. ACCESSION JQ610678 VERSION JQ610678.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1957) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1957) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1957 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="4" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..1926 /note="capping enzyme" /codon_start=1 /product="VP4" /protein_id="AFX73390.1" /translation="MEPFAVLHLSAKLAPLVREGFIPYVDLDNIKTLNDLWIEIGKCS SDVYAVGRINRWTIRQLRAYRFIFVSEKRTITLKDIKITPDVPIRCADGLDLKLLETT IGRKRLVLRKTFGDILRKYALSQSVHLHGSEAETLNMADPTIHHVKGLPMIAPNHLNP TKPWSDLDDTETDEKLVSMLDYAMYSAQEVHYVGSGDGRTIRLFAKRDKKRFDRAKWV CYDPIMTDIGLTNVIAVKHYVNTFRDMLPYLNTGDRVERLLLWDVSGDAAKHDRFWEA QRTEEDRRGESVAVSLTEYFALAIIKHRIPIYEEKYRCTTSWIVPQPGAVREMYEMRN IILLNGFSRVNRAHIPQAGVMEIEADVLREMVRNFHGAGRGRLLKKSLYESLHIHQVD GLEDSEDGARSDLFYLTNQRNVNSIQSIRRVLGNSTVSTLWVSRERVFEYDDFNFDRS ALMLWHRGREHLLFDGNGAVLYLMWQHGDRYRKDVNYDPSWAEHFAVLIREPQPWRPV PDLSLCRFISLRRVSTVIRIRGDIHRKSDQVKRLGLDLSGHLFVTLISGAYLADLRWW FRMIIQWSKQRRQEKIDDLAKVNAEVVEWKEEKADEPWHRKEDLIAALIAAKSITGDQ HIDGWIAELRDME" ORIGIN 1 gtatatttcg aaatggagcc ctttgctgtg ctgcacctat cagccaagct ggcaccgctg 61 gtgcgtgagg gatttatccc gtatgtggac ttggataata ttaagacgtt gaatgacctc 121 tggattgaga ttggcaaatg ctcatctgat gtatatgcgg ttggacgaat aaataggtgg 181 acgatacgtc agctacgtgc gtatagattc atattcgtgt cggagaagag aacaataacg 241 ttgaaggata ttaagatcac acctgacgtg ccaataagat gcgcggatgg gctagactta 301 aagttacttg agactacaat aggacgtaaa agattagtgt tgcgaaagac gtttggagac 361 atactgcgaa aatatgcgtt aagccagtcg gtacacttgc atggatctga ggcagaaacc 421 ttgaatatgg cggaccctac catacatcac gtgaaggggt taccaatgat agcgccaaat 481 catttaaatc caacgaaacc atggagtgat ctggacgaca cagaaaccga tgaaaaacta 541 gtgtcaatgc tagattacgc gatgtatagc gcgcaagaag tgcattatgt tggctcggga 601 gacggtagaa cgatacggct gtttgcaaag agggacaaaa agagatttga tagagcgaag 661 tgggtgtgct atgaccctat tatgactgat attggattga caaatgtgat agctgttaaa 721 cactatgtca atactttcag ggatatgcta ccgtatttaa atactggcga ccgagttgag 781 agattactat tgtgggacgt aagtggagat gcggcgaaac atgatcggtt ttgggaagct 841 cagaggactg aggaggaccg gcggggagaa tcagttgccg tgtctttaac ggagtacttc 901 gccttggcta ttatcaaaca tagaattcca atctatgagg aaaagtatag atgcaccact 961 tcgtggattg taccgcagcc tggcgcggtc cgcgagatgt acgagatgag gaatatcata 1021 ctgttgaacg gtttttctag ggtaaatcga gcgcatatcc cccaggcagg cgtaatggag 1081 attgaggctg atgtgttacg tgagatggtg aggaacttcc atggagctgg tcgcggtcgg 1141 ctgctgaaga aatcgcttta tgagagtcta catatccatc aagttgatgg attggaggat 1201 tcggaagacg gagcgcggag cgatctcttt tatttaacca accaacgtaa tgttaattca 1261 atacaatcaa tcagacgagt tttgggaaat agcacggtgt cgactttatg ggtgtcaagg 1321 gaacgagttt tcgaatatga tgactttaat tttgaccgat cagcgttgat gctctggcac 1381 aggggtagag agcacttact atttgatggc aacggcgcgg ttctatattt gatgtggcag 1441 cacggagata gatatagaaa ggatgtgaac tatgatcctt cgtgggccga acattttgca 1501 gtattgatcc gagagccaca accttggcga ccagttccag atctgtccct ctgccgtttt 1561 atttcgctaa gacgggtgtc gacggttatt agaatacgag gcgatattca caggaaaagt 1621 gatcaggtaa agcgtttagg gttagatttg tcaggacatc tgttcgtaac gttaatttct 1681 ggagcgtatc ttgccgattt aagatggtgg ttccggatga tcatccaatg gtcaaagcag 1741 cgtagacagg aaaagataga cgatttggct aaggttaacg ctgaagtggt tgaatggaaa 1801 gaagagaaag ccgacgaacc gtggcatcgc aaggaggacc tgatcgctgc tttaatcgcg 1861 gcaaaaagta tcaccggtga tcagcatata gatgggtgga ttgcggagct gagggatatg 1921 gaatgacatc cacccgaggg gcaatcgaac tacctac // LOCUS JQ610679 1735 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 5, complete sequence. ACCESSION JQ610679 VERSION JQ610679.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1735) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1735) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1735 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="5" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 36..1676 /note="non-structural protein 1" /codon_start=1 /product="NS1" /protein_id="AFX73391.1" /translation="MDQFLDSFDVTGDEANALRLLRAVSPEMTCSHLRRDCLIGGICA KQFFNEVLMAILDSKDRQAARQLVTLAVMTSYDRELIWLNVLRSTEVLPANDYAHEIQ NVVLNLKRVFIESGLEEKYKSFRAKRRPNRSPTEDAFSFLPFFYIPMNETKRVGIKKL TRVRNLGVAFVDRREVTHHLPFTVDAARRDLMMLRNFTLEHQRTCTFTGSKSLIHGMI FCPEEMEPLFQKKETALEIYRICEQDMKFINSRGTMSFPRFLMQRLAVKNASSDAMDQ VMLGRTPSDGRLMSVTGASFFFGGGPDWRKWAMPALLVRAARLRTVVTSFVKEWFDST HTCQVCFLVEKGVADSIPITDVRLSDVCGVGPVAYVRSYAHDDGNAPDVRVLRKGEIF RLMGGHYVMQTTASTMESLVVAAKEMQRLVRGDGFWDTPYWGLSMANLCKIMFHENPA KEQIHFMIKLITFGMFGGVQRHNGLFTDWDNLEEFLKRMFSTEEMGVRMYESSYHAIL RACILHLQTTAKPTLVQLTHAIESLDLGIEEVPFNFYV" ORIGIN 1 gtaaaaagaa tcctctgcgt tcactgggca cgaacatgga tcaattcttg gattcttttg 61 atgtgactgg agacgaggcg aatgccttga gattattgag agcggtttca cctgagatga 121 catgctcaca tttgaggaga gattgtttaa ttggagggat atgcgcaaaa cagtttttca 181 acgaggtgct gatggccatt ctggattcaa aagatcgtca ggcagcgcgt cagctggtga 241 cattagctgt gatgaccagt tacgaccgag agctaatctg gctcaacgta ctaaggtcaa 301 ctgaagtgct gccggcaaat gattatgcac atgaaataca gaatgtggtt ctgaacttga 361 agagggtctt catagagagt gggttggaag aaaaatacaa gagtttcagg gcgaagcggc 421 gtccaaacag atctccgacc gaggatgctt tctctttttt gccctttttc tacataccca 481 tgaatgaaac aaaacgggtt ggaataaaga aactcactag agttcggaac ctaggtgttg 541 cttttgttga tagacgcgaa gtgacgcatc atttaccgtt cacggtggac gctgctagaa 601 gggaccttat gatgctgaga aatttcacgc tggagcacca aagaacatgt acgtttacgg 661 gttcaaagag cttgatacat gggatgatat tctgtcctga ggagatggaa cctcttttcc 721 agaagaagga gacagcgcta gaaatctaca gaatttgtga gcaggatatg aagtttatca 781 actcaagagg tacgatgtca tttccccggt ttttgatgca acgtttagcg gtgaaaaacg 841 cttcatctga tgcgatggac caggttatgt tgggacgaac tccgagcgat ggacgtttga 901 tgtcggtgac tggtgcctct ttcttttttg gagggggacc tgattggcgc aagtgggcga 961 tgccggcgtt gttggtacgt gctgcaagac tgagaaccgt cgtgacatca ttcgttaagg 1021 agtggtttga ttcgactcac acatgtcaag tctgtttcct agttgaaaaa ggtgtcgccg 1081 attcaattcc gatcactgat gttcgtttat cggatgtgtg cggcgtagga ccagtcgcat 1141 atgttagatc ttatgcacat gatgacggga acgcgccgga tgttcgcgta ctgagaaaag 1201 gtgaaatctt cagattgatg ggcggacatt atgttatgca gacaacggcg agtacaatgg 1261 aatcattggt cgttgccgcg aaggagatgc agcgtttggt tcgcggcgat ggtttttggg 1321 acacaccgta ttggggttta agcatggcaa acctttgtaa aatcatgttt catgaaaacc 1381 cagcaaagga acagattcat ttcatgatta agctcataac ctttgggatg tttggtgggg 1441 ttcaaaggca caatggactg ttcacagact gggacaattt ggaggagttc ttgaagagga 1501 tgttttctac ggaggagatg ggcgttcgta tgtatgagtc aagttaccat gcgatacttc 1561 gtgcgtgcat actacatcta cagaccactg cgaagcctac cctcgttcaa ctaactcacg 1621 cgatcgaatc actcgacctt ggaatagaag aagttccttt caatttttat gtctaaaaca 1681 tcataataaa ccataaagag tctgagtaat tgtatccctg agctcttact cttac // LOCUS JQ610680 1605 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 6, complete sequence. ACCESSION JQ610680 VERSION JQ610680.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1605) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1605) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1605 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="6" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 22..1581 /note="outer capsid protein" /codon_start=1 /product="VP5" /protein_id="AFX73392.1" /translation="MGKFVKALKKIGRGTVKALTSDAAKKLYTTLGKAATRFAESEVG SAAIDGLIQGTAQTLLHGGSASENIKQAVVLGVLHSMETPADPLSPGEQGVYDKIKEI KREEKEDRFFEVYQEKIDEELGSDMKRMREVAKGDKQAIKEMGGEIKVIEKAFDGLIK IDKIQDMKLTQLYGALAKERTERTQDEIKMVNDYTGKIEALQSAITVERDAMQEEALQ EIIEMGTDVIETASEEVPIFGPAAANVVATGRMVEGTLKLKQVIEKLAGLDVSHTTRD RIEPKVINAILDHEGGVVPEKELAIGVYNKLQTVREHMAEHSHLKEMAIPRLQKLYTE HGDEWHPKIITQMKVAREHQPQIHIYCAPWESDDVFMLRVYAPHHIGCGLFLGVDLES EFIFYEDLIAENHVLRGGVIEVVGRNFRQAVREFLLMAASKIENTMHVKRLVRSSASS PIYLSSIHYECTFDEIKQNVLQIVHDEQLQMHLLRGPKHFQRRALMAAVVKGVKILEG PDTKALMLQGL" ORIGIN 1 gtataaaata cctcggtcat catgggcaaa ttcgtaaagg ccctgaagaa aataggaagg 61 ggtacggtga aggcactgac gtctgacgct gcaaagaaac tttatacgac tttaggaaag 121 gcggcgacgc ggtttgctga aagcgaagtc ggcagcgcgg cgattgatgg attgatacaa 181 ggaacagcgc aaactttact gcacggaggc agcgcgagtg aaaatatcaa gcaagcggtt 241 gttttaggtg ttctccacag catggaaacg ccggcggacc ctttatcacc aggagagcaa 301 ggagtatatg ataagattaa ggaaattaaa cgagaagaaa aggaagatcg gtttttcgag 361 gtttaccaag aaaagattga cgaagagctt ggttcagata tgaagcgaat gcgagaagtg 421 gcaaaaggtg ataagcaggc catcaaggaa atgggtggtg aaattaaggt tatcgagaaa 481 gctttcgatg gattgattaa aatagataaa attcaagata tgaaattaac gcagttatat 541 ggcgcgctcg cgaaagagcg tacggagcgt acgcaggacg agatcaaaat ggttaacgac 601 tacactggaa aaattgaagc actgcaatcc gcgataacag ttgagcggga cgctatgcaa 661 gaggaggcgt tgcaggagat aatagaaatg ggaacggatg taattgaaac cgcctccgaa 721 gaggttccga tattcggccc tgcggctgcg aatgtagtcg caactggacg aatggttgag 781 ggcaccttaa agttgaagca agtaatcgag aaattagcag ggttagatgt ttcgcacacc 841 acaagggaca gaatcgagcc gaaagttata aacgctatac tagatcacga ggggggcgtc 901 gtaccggaaa aggaactagc gattggtgta tataataagc tgcagacagt cagagaacat 961 atggcggaac acagccatct aaaggaaatg gcaataccaa ggctgcaaaa gctgtacaca 1021 gaacacggcg atgagtggca tccaaagata attactcaaa tgaaggtagc gagagaacat 1081 cagccgcaaa tacatatata ttgcgctcca tgggaatcgg atgacgtgtt tatgttgcga 1141 gtgtacgcgc cgcatcatat agggtgtggt cttttcttag gagttgattt agagagtgaa 1201 ttcatatttt atgaggattt gatagcagag aaccacgtat tgcgtggtgg cgtcattgaa 1261 gtcgttggaa ggaacttcag gcaagcagtg cgcgaatttc ttttgatggc tgcgagcaag 1321 attgagaaca ctatgcatgt caagcggtta gtgagaagct cggcttcctc acctatctac 1381 ttgtcaagca tacactatga gtgtacattt gatgagataa aacagaacgt tttacagatc 1441 gtgcacgacg agcagttaca gatgcatctg ttacgtggtc cgaaacattt ccaaagacgt 1501 gctctgatgg cggctgttgt taagggtgtt aagatcttag aggggccaga tacgaaggcg 1561 ctcatgctac agggtttgta agtggctgaa aggtatcaag aatac // LOCUS JQ610681 1166 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 7, complete sequence. ACCESSION JQ610681 VERSION JQ610681.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1166) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1166) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1166 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="7" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..1069 /note="T13 protein" /codon_start=1 /product="VP7" /protein_id="AFX73393.1" /translation="MDAIAARALSVIQDCISVGDGRINLDPGVMERLGIAINRYNGLT NNVVTIRPGTQDERNAMFFMCLDFALAALNIQIGVISREYTQALATIGVLATGEIPYS VAAMDTIVRISGTMATWGPTEYELPPYARSQMIQMSGRYYVPAGANSHAAHVDPTTVE ISLAAGVVVNVTNALQPRGVAPTMMYMVWHPLAIFANPQGATAASPQNMTLVVGGLNI AAGTIIAWDTVAPIQLSNQGGQEGMIAIRILWMTTLDKSMTSLPEMREIISRCYSFMH PSWHALRGTVLHSLNLPTNNPPMFAPATRQEALAYLILANLADAYTSLRPDFTIQGML AVPQVIDRQFVQGAYR" ORIGIN 1 gtataaatat ctagagatgg acgccattgc ggcacgtgct ctgtccgtga tccaggactg 61 cattagcgtt ggtgatggga gaattaattt agaccctggg gtcatggaga gattgggaat 121 tgctattaat agatacaatg ggctaacgaa caatgtggtg acgatcagac cagggacaca 181 agatgagcgg aacgcgatgt tttttatgtg tctggatttc gcgttggcgg cattgaacat 241 acaaattggg gttatatcta gggaatacac gcaggcgctg gccactatcg gtgtgctggc 301 aacgggagaa atcccttact cggttgccgc tatggatacg attgtacgga ttagcggaac 361 gatggcgaca tggggtccca ccgaatatga gttaccgcca tatgcgcggt ctcagatgat 421 acaaatgagc ggacgttact acgttccagc gggggcgaat tcacatgctg cccatgtcga 481 tcccacgacg gtagagattt ctttagctgc tggagtagta gtgaatgtta cgaacgcgtt 541 acagcctagg ggcgttgcgc ccacaatgat gtacatggta tggcatccgt tggcgatttt 601 cgcgaatcct cagggtgcta cagctgcttc gcctcaaaat atgactttgg tggttggtgg 661 gctgaatata gcagctggca cgatcatcgc ttgggatacc gtcgctccta tacagctatc 721 gaatcaggga ggacaagagg gaatgatcgc gatccggata ctatggatga caacattaga 781 taaatctatg acaagcttgc cggagatgcg tgaaataatc tcaagatgct atagctttat 841 gcacccttca tggcacgcgc tgcgagggac ggtcctacat tcgcttaatc tgccgactaa 901 taatccacct atgtttgcgc ctgctacgcg acaggaggca ttggcgtact taattctggc 961 aaatttagcg gatgcatata cgtcgttaag gcctgatttc accatacaag gaatgctcgc 1021 ggttccacag gtcattgaca ggcagttcgt tcagggtgcg tacaggtaga ggacgccttc 1081 cacagtgggc gtctcatgta gccccagcgt cggtccctta cgtgtgctgt aacgcgtagg 1141 tagaacgtca tatgatatta agttac // LOCUS JQ610682 1089 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 8, complete sequence. ACCESSION JQ610682 VERSION JQ610682.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1089) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1089) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1089 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="8" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 26..1057 /note="non-structural protein 2" /codon_start=1 /product="NS2" /protein_id="AFX73394.1" /translation="MAQEVKRKFTRTVCIYDPQNRTFCGRSAAMVCNSYYTIKMGRTT QCGVSPVPVPKSYVLEIPDVGSYRILDGQDSISVIVTETGVEATSERWEEWKFEGVNC VPMVVQTEIGKGLIDMEIKFSKGMGLVKPYVKNEVSRTEIPRLPGASVIDTPIRDYRQ LLKDQRDERRAALDAIACDICPTLSRMLGANITDGSPQVEEVATRPTQPPAQLKLDVP NWDQPTDSDDEDEESKRVTTQSNADTEEQVTFEDCITDQYFSKTGEFAKKYPEMLAGL SAKMPSETGRFTKILTTRKAQWNNVPLFELDPNGFTYHFSKLGNSTRIFCVQRDLSYM VLPAGQGLK" ORIGIN 1 gtaaaaaatc tcctctcttt tcacgatggc tcaagaagtt aagagaaagt tcactagaac 61 agtgtgcatc tatgatccac aaaatcgcac attctgtggt cgaagtgccg cgatggtgtg 121 taacagttat tatacaatta aaatgggtag aacgacgcag tgtggagtgt cgccggtgcc 181 cgtaccaaag tcatatgtgc tagagatacc ggatgttggc tcttatcgca tcttagatgg 241 gcaggattca atcagtgtca tcgttactga gacgggcgtc gaggcaacgt ctgagaggtg 301 ggaagagtgg aaattcgaag gcgttaattg cgttccgatg gttgttcaaa cggagattgg 361 gaaaggcctg attgacatgg agatcaagtt tagtaaggga atggggctcg ttaaacctta 421 tgtaaagaat gaggttagca gaactgagat cccacggcta ccgggtgctt cagtcattga 481 tacaccgata cgcgattacc gtcaactttt gaaggatcag agagatgaaa gaagggcggc 541 gctcgatgcg atcgcatgcg acatatgtcc cactctatca agaatgctag gggcgaatat 601 tacagacgga tcgccacaag tcgaagaagt cgcaacacgg ccaacacaac ctccagctca 661 gctgaagctg gatgtgccta actgggacca accgactgat tcagatgatg aggatgagga 721 atccaagcgc gtgacaacgc aaagtaatgc tgatactgag gaacaagtga ctttcgaaga 781 ttgcattacc gatcaatact tttcgaaaac gggtgaattc gcgaagaagt atcctgaaat 841 gttagcggga ctttccgcga agatgccgag tgaaacaggt aggtttacaa aaatattgac 901 gacgaggaag gctcaatgga ataacgttcc tcttttcgaa ttagatccaa acgggtttac 961 atatcatttt agtaagctgg gtaattcgac gaggatcttc tgtgtccaac gtgatttgag 1021 ctacatggtt ttacccgcag ggcaaggcct gaagtagcgg tgcatgtagc cgggagaggt 1081 acaacttac // LOCUS JQ610683 925 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 9, complete sequence. ACCESSION JQ610683 VERSION JQ610683.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 925) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 925) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..925 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="9" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 23..883 /note="helicase" /codon_start=1 /product="VP6" /protein_id="AFX73395.1" /translation="MLVLAPGDLIDGVRHQLSERGVRIRLRETNDDEQKDEPVDTGGG KPGDRIGKEVGNAESEQSSDKEKKAGGSSDSELGEGGDGRRQTEKAEGGENGTRDIGI QDKDKQFDRRANPDNALDRENRSGDPQLKYGFATKRIANAVESKYHCGGFEGPGSDGY IKLEMSIMKALGLNRDDHIEQLEFLKHQQKGPSKIQVRTIASETKLKEVCNIMDKPVA PTARSAVSVVSNRVEDVKEAQVYFTTPTGDRGWKEVARKASQTPNIRAYINPEGDDPK VSFLHLIDHL" CDS 111..512 /note="non-structural protein 4" /codon_start=1 /product="NS4" /protein_id="AFX73396.1" /translation="MMTSKRMNQWIREAASRVIESGRKLEMPRVNSLPIKRRRLEEVR IQSSGKVEMEGDKLRRLKAERMELEILAFRIKTNNLIGALIQITRWTEKIDQEIRNLN MDLQPNELQTPLSQSTTAVDLRGQDRMDTSN" ORIGIN 1 gtataaaaca tcctcccatg tcatgttggt gttggcaccg ggtgatctca tagacggagt 61 gcgtcatcaa ttatctgaaa gaggagtcag gattcgttta cgggaaacga atgatgacga 121 gcaaaaggat gaaccagtgg atacgggagg cggcaagccg ggtgatcgaa tcgggaagga 181 agttggaaat gccgagagtg aacagtcttc cgataaagag aagaaggctg gaggaagttc 241 ggattcagag ctcggggaag gtggagatgg aaggcgacaa actgagaagg ctgaaggcgg 301 agagaatgga actagagata ttggcattca ggataaagac aaacaatttg atcggcgcgc 361 taatccagat aacgcgttgg acagagaaaa tcgatcagga gatccgcaac ttaaatatgg 421 atttgcaacc aaacgaattg caaacgccgt tgagtcaaag taccactgcg gtggatttga 481 ggggccagga tcggatggat acatcaaact agaaatgtca ataatgaagg cgctaggttt 541 aaaccgagat gaccacatcg aacaattgga gttcctcaag caccaacaga aagggcccag 601 caaaattcaa gtcagaacga tcgcttccga aaccaaatta aaagaggtgt gtaatataat 661 ggacaagccg gtggctccca cagcgagaag tgcggtgagt gtagttagta accgtgttga 721 agacgtgaag gaagcccagg tgtattttac aactccaaca ggagatagag gctggaaaga 781 agtagcaagg aaagcgagcc agacaccaaa cattcgagcg tacattaatc cggagggaga 841 tgatcctaaa gtctcatttc tgcatttaat cgatcatctg tgaggtcacg gtctgaacta 901 cgggcatgct gggtgtttca gttac // LOCUS JQ610684 761 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 10, complete sequence. ACCESSION JQ610684 VERSION JQ610684.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 761) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 761) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..761 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="10" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 20..703 /note="non-structural protein 3" /codon_start=1 /product="NS3" /protein_id="AFX73397.1" /translation="MYRDLLNIHTEMRGPPSYEPSGLAQATAPTMRFGDREDEEGLLR ARELSLNVLTNAMTNTTGANEAIKNEKAMFGAYADALRDTPEIRVVKRRINERTLEKL HKMRRSLHGRRMFVRMLLAINVGLALLTSAVNVVRQSLDDFGKERWIVGGVWWLGEVV VTINFGTTVATLVLMRIHGALNAQLQTIKRDIYKKSSYNEAAAMHWKGEISLIEELAA SHVPAGSNV" ORIGIN 1 gtataaaatt ccgttcgcaa tgtaccgtga cttgctgaat attcacactg aaatgagggg 61 cccgccatct tatgaaccta gtggcttagc tcaagcgaca gcaccgacta tgaggtttgg 121 ggatagagaa gatgaggaag gcctattgag ggcgcgcgag ctttcgctta atgtgttaac 181 gaatgctatg actaatacaa cgggtgcgaa tgaggcgatt aagaatgaga aagcgatgtt 241 tggggcatat gccgatgcac ttagggatac tccggagatt agggtggtga aaaggcggat 301 aaatgaacgt acgttagaaa agttgcataa aatgcgacgt tcgctgcacg gaagacgaat 361 gttcgtacga atgttgttgg cgataaatgt gggattggcg ctattaacct cggcagtgaa 421 tgtggtacgc cagtcgctag atgattttgg gaaagaaagg tggatagttg gtggagtgtg 481 gtggttaggt gaggtcgtcg ttacgattaa ttttggaacg actgttgcta cgttggtatt 541 aatgaggata catggcgcat taaacgcgca gcttcaaacc attaagcgtg acatatataa 601 gaaaagctcg tataatgagg ccgctgccat gcattggaaa ggtgaaatta gcttaattga 661 ggagctagcg gcgagccacg tacctgcggg atcgaatgtc tagtccgcga catcgaaaaa 721 ttcacttgtc caggtgaagc ccgtagaacg gatcgtctta c // ================================================ FILE: tests/input/TestGenbankRecordFetch/orungo.gbk ================================================ LOCUS JQ610675 3942 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 1, complete sequence. ACCESSION JQ610675 VERSION JQ610675.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 3942) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 3942) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..3942 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="1" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..3921 /note="RNA-dependent RNA polymerase" /codon_start=1 /product="VP1" /protein_id="AFX73387.1" /translation="MVITVEGAWLVRRALQRFLKFSKIDGESAVYEFYRYSSNIREIR RKHGTRYKMHDEELERRRDSGKLRFKGMQVVVESTWMEILGKGRTTDEIEIFRSSILS LDELNPEEEFLRNYASSDKEHPSYLFVRGRAVNEMQIYGDMPIKAWLSFLVECEVEYG YKLFGMEVARSFVQSFGSPFHQNSRDLSQIDDMAPAFTSPLLFEMCCMTSILEINIRM RMLEERVATLKFGEREIDPLEVLKEFFRICIPHPKKINNMLRAPYSWFVKLWGVSYHE PIVLTARGGEDKNSKDIFFTGFHRVKNPYSIMLKKSRFFKKSLDENISKVKEAIDYSN SLTGMSLGLPVFLSMLQNVYDTEFNPTMVQHVLLASFLLSIQTITGYGRAWVKNVSSD NDTQMRPAEDNFIDRVAKQTEINFIQAYEEALGHGEDIVKPEDMFTSILRLARNTSSG FSTAVDVYKRFGPKSGGRGERVKITSRIKALVIFTKGHEIFTAENLAKRYDTEEDYQT KGSRDVPIKATRTIYSINLSILIPQLILTLPLNEYFARFGGSTAPDSRSLGGKVIIGD LEATGSRTIDAADTFRNSSDPEIFTIAIDYSDYDQHLTVFNFRNGMLEGIRSAMKRYK ELRYDGYTLNELIEFGYGEGRIVNSKWNGKRRVKSVRMSDYMALSESQRAQGTFKPPQ GVRPVSSMQVFDSVGEASGGDTLLISPTDGSDLATVNTHLSGENSTLVANSLHNMAIG RIIQEEIRKNHRAAFTFESEQYVGDDTLLYAKLNTLNHEIFDKAIDTIFDTVGKCGHV ASAAKTLIAPFSVEKTQTHAKQGIYIAQDRMMIISSERRKDIEDVQGYMRSQVSVMAT KVSRGFSHELAQLVFMMKSSIVGFRKLKRTVVEDGVYRDRALDSEDEDGFTLMQIRDP LVAFYPAEWNGYGMHPVALNIVMTEDMFIDTSTMVEFQHVMRPLLRFMGRIPPVWNET KADKRQISSITKMSFFSKMARPAVRAVLANSELSDQVRTLPLGDFSPFNLSATMMHSA LLKEPRARALLTPAYEKEFQSELNSNRDSEVNFVGRNMEINTNYMKLFDVDLSTRIVA KQFSFPDQNMSLPFYFQKLLIGHRPVARMRMTYIDRIDQILRGDVVMRGFITANTIMS VLEKIGTAHAVQDLTTIFQLMNIESKVAHRLAEYIASERVRFDALSIAKRGICGDEFS MSLDVCTERFAERFMELPAQFTKTERDIAILYAAQLTMLRCAANLDLRKIKIGVSADH VKRFKQRQARFKTHLPKMRTVTRLITPERISARLVQHQFT" ORIGIN 1 gtataattag gaatggtcat cactgtggaa ggtgcgtggc tggtgagacg ggcgttgcaa 61 cgttttttga agttcagtaa aatcgacggg gaatcagcag tttatgagtt ctataggtat 121 tcaagtaata ttcgtgaaat aagaaggaag catgggacgc gttataaaat gcatgatgaa 181 gagttggagc ggaggcgtga ttcgggcaaa ctgcgtttta aaggtatgca agttgtggta 241 gagtcgactt ggatggagat tttagggaag ggacgtacga cggacgaaat cgagatattc 301 agaagttcga ttttatcgtt ggatgaactg aatccggaag aagaatttct gcgcaattat 361 gcgagttcgg acaaggaaca tccatcctac ttgtttgttc gggggcgggc ggtcaatgag 421 atgcagattt atggcgacat gccgataaaa gcgtggttga gctttttagt agaatgtgag 481 gttgaatatg ggtacaaact cttcggaatg gaagttgcga gatcgttcgt tcagagcttt 541 ggatctccgt ttcaccagaa ctcgcgtgat ctatcacaga ttgacgatat ggcgcctgct 601 tttacgtcac ctttattatt tgaaatgtgt tgtatgacat caattctcga aattaatata 661 cgcatgcgta tgctggagga gagggttgca accctaaaat ttggtgagcg ggagatcgac 721 ccacttgaag tactaaaaga attcttccga atctgcattc cgcatccgaa aaagattaat 781 aatatgttga gagctccata ctcatggttc gtcaagctgt ggggcgtatc gtatcatgag 841 ccaatagtcc tgacggcgag gggcggcgag gataagaact cgaaagacat attctttacg 901 ggatttcaca gagtcaagaa tccatactca ataatgttga aaaaatcgag gttttttaag 961 aaatctttag acgagaatat cagcaaagtg aaagaagcga tagactattc aaactcgttg 1021 acggggatgt ctttagggct gcccgtattt ctatccatgc tacagaatgt gtacgacact 1081 gagtttaatc cgactatggt tcaacacgtg ttactagcgt cgttcttgtt gagtatccaa 1141 acaataactg gctatggacg cgcttgggtg aaaaatgtgt caagcgataa cgacactcaa 1201 atgcgcccgg cggaggacaa cttcattgat cgagttgcta agcaaacgga gattaatttt 1261 atacaggcgt atgaagaggc gttggggcac ggagaagata tcgttaagcc agaagacatg 1321 tttacctcca ttttgcgttt ggcaagaaat acaagttccg gcttctctac tgctgttgac 1381 gtttataaac gattcggtcc aaagtcggga gggagaggag aacgcgttaa gataacatca 1441 agaattaaag cattagttat cttcacaaag ggccatgaaa tatttacagc tgaaaatctc 1501 gcgaaaagat atgatacgga ggaagattac cagactaaag ggtcacggga tgtacctatc 1561 aaagcaacgc ggacgattta ttcaataaac ctctccatct tgatcccgca gctgatccta 1621 actttaccgt tgaatgaata ttttgcccgg ttcggaggat caactgcacc tgactcacgt 1681 agcctagggg gtaaggtgat tatcggagat ctagaagcaa cgggatcacg gacgatcgat 1741 gcggcagata cgtttagaaa ttcgtccgac ccagaaattt tcacaatagc gatcgattat 1801 tcggattacg atcaacattt gacggttttt aacttcagga acggtatgct ggaaggaatt 1861 cgctctgcga tgaagagata taaagagttg aggtatgatg gatacacgtt gaatgaattg 1921 attgaattcg ggtatgggga ggggagaatt gttaattcga aatggaacgg aaagaggcgg 1981 gtcaaatctg tacgaatgag cgattatatg gcattgagtg aaagtcaacg cgctcagggc 2041 actttcaagc cgccgcaggg agtgagaccg gttagttcaa tgcaagtgtt cgattcagtg 2101 ggtgaggcat ctggagggga tactctcctc atctcgccca ctgacggatc ggatttagca 2161 accgtcaaca cgcatttgtc gggtgaaaat tcaacgttag ttgctaactc tttgcataat 2221 atggctatcg gacgtatcat acaagaagag atcagaaaga accatcgagc ggcttttacc 2281 tttgaatctg agcagtacgt tggagatgat acgttacttt atgcaaagtt gaacacatta 2341 aaccatgaaa tttttgataa agcgattgat accatcttcg atactgtggg aaagtgcgga 2401 catgtggcat cggcagcgaa aacccttatc gctcctttct ctgttgaaaa aactcagact 2461 catgcgaagc aaggaattta cattgcgcag gatcggatga tgatcatctc ttcagagcgt 2521 agaaaggata tcgaggacgt ccaagggtat atgagatcac aagtgtcggt tatggcgaca 2581 aaagtaagcc gcggctttag tcatgaactg gctcagcttg tctttatgat gaagagcagc 2641 atcgtaggct ttcgtaaact gaagcgaact gtggtggagg atggtgtata ccgtgatcgc 2701 gcgttggatt cggaagatga ggatggcttc actttgatgc agatccgtga tccgttggtc 2761 gccttctacc ctgctgagtg gaacggctat ggcatgcatc cagtcgcttt gaatatcgtc 2821 atgacggaag acatgtttat agacacgagt accatggttg agtttcagca tgtaatgcgg 2881 ccgctccttc gatttatggg taggatacct ccagtgtgga atgaaactaa agccgataaa 2941 cgtcagattt catccataac aaagatgagt ttcttctcca aaatggctag accagcggtg 3001 agggcggttc tggcgaatag tgaactgtca gatcaagtga gaacattgcc actgggcgac 3061 ttttcgcctt tcaatctctc cgcaacaatg atgcactcag cattattgaa agaaccacgc 3121 gcgcgtgccc tgctgacgcc agcctacgaa aaagaattcc agtcagagtt gaattcaaac 3181 cgggatagcg aagtaaattt cgtcgggagg aacatggaga tcaacactaa ttatatgaaa 3241 ctgttcgatg ttgatttgtc tacgcgaata gtggccaaac aatttagttt tccagatcag 3301 aatatgtcgt tgccttttta ttttcagaaa ctcttgattg gacatagacc ggtcgcgcgg 3361 atgagaatga cctatattga ccggattgac caaatcttac ggggagacgt cgtgatgagg 3421 ggtttcatca cagcgaatac tattatgtcc gttttagaga agattggcac tgctcacgcc 3481 gtacaggact taacaacaat atttcagttg atgaacattg aatctaaggt ggcgcatagg 3541 ctagcggagt atatcgcttc tgaaagggta agattcgacg cgctctcgat tgcaaagagg 3601 gggatatgcg gggatgaatt ctccatgtcg ctggatgtgt gcacggaacg gtttgctgaa 3661 cggttcatgg aactaccagc gcagtttact aaaactgaga gagatatagc gattttatat 3721 gccgcgcagc taactatgtt gcgctgtgcg gctaacctag atcttaggaa aattaagatt 3781 ggggtttcag cggatcacgt taagagattt aaacaaagac aggctagatt taagactcat 3841 ctacctaaaa tgcgtacagt cacgcggctg ataacgcctg aacgaatctc cgcacgcctg 3901 gttcagcatc agtttacatg acgcaccacc taatcaactt ac // LOCUS JQ610676 2933 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 2, complete sequence. ACCESSION JQ610676 VERSION JQ610676.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2933) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2933) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2933 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="2" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..2899 /note="T2 protein" /codon_start=1 /product="VP2" /protein_id="AFX73388.1" /translation="MAFERTVALTREFANETRQHFGKFDIVVNTESSIEDEATGEWEF ARSDGRLGIYEELHNSIAYKHYTAILKGPENYLNIPQIFESKIYKNLNRDDLLARYDY SQILRFRDSKIAGRLRMQTYFGDVHVSAGLIDCVAMVREPIRREGCQHMMVRSFDLMN AGQFFDVHAPKIHAFDDTVIVESMDIENGVWRVKAGGVGLKTLQEKAEGILGDSVLDL VHNYLSQKWDAGYVAAKLLRFDETYKFHPIHEVGIFNTLMIRMGQLDDAYRDGFFDYD EIHAQLMRDVTFQYPEGKPVFRRDGQFFKNLVQYSGRAKIGYETYLPDRELWTEWRTR SSVQDVVPKYMEWLIGRLQLGKMLKIMSELPADVTMPNYLLKAITYKSSVYVKRLILT YIALRMTFGRCPVNKKGTLASSVLGFLHAVIPNLEEFLRKAGITDELCVKMEFTPRLT VMEREDRKSDRYAVVLQVYRERKLEVFTPIDSDLFEDRKKYYDEILKDKRWRGEETDY FFKDSGIHRSQVAGLSAEQLTLKKLGRDSDFNDPKRFVSYRYRYVSVKAGDIYAEGES VITGPLLTLIPHAYEFGRVSLIAGQSRDQSKLDNVPVYRDHMKSLELNGVEVGYDTWC PSGRAVQVNLELISTILYNAFKRPIVKGALCHFGMWEFYNPRRPAYESVDVTIMNAIS DITGSKRWAYQEIQDWLARFIKGSRVDMVTHRFHGVTKKPTTRGEIWIWNLLLVLISN PSLVVSQTDKFPLWVCASDGLHLISTGVRHTDHFRLWEWLPYTEKIGNDDYMSVLATD RELRLFEIALEYFETIRIGYRRDEWTHLKSNMFNTWLGTHCGGVGDGMILFDPVRLPS PSSVLYLICSHNSTLEGMMYLLHDIYGKIVEENTGTVFIRVHARGCKCSVCRGGLQGV DVKNRSAMRVRSMPGNIGFDSVNLILSTSTTSAFGNSYIYFKLINR" ORIGIN 1 gtataattga tccgcgatgg ctttcgagcg tacggtagcc ttaacaagag agttcgcaaa 61 tgaaacaaga cagcattttg ggaagtttga tatagttgta aacacggaaa gcagtattga 121 ggacgaagca acgggtgagt gggagttcgc acgaagtgat gggcggcttg gcatctatga 181 agaattgcat aatagcatcg cttataaaca ttatacggcg atactaaaag ggccggaaaa 241 ttatttgaat attccgcaga tttttgagtc gaaaatctat aagaatttga atagggatga 301 tctattggcg agatatgatt attcacaaat actaagattc cgagatagta agatagcggg 361 ccgattgagg atgcagacgt atttcgggga cgtgcatgta agtgcgggac tgatagattg 421 tgtagcgatg gttcgtgagc ctattagaag ggaagggtgt cagcatatga tggtacgtag 481 ttttgatttg atgaatgcgg gccagttttt cgatgttcat gcgccgaaga tccacgcgtt 541 tgatgacacg gtgatagttg aaagcatgga catcgaaaac ggagtatggc gcgtaaaggc 601 gggtggcgta ggtttgaaaa cgctgcagga aaaagcggaa ggaatactcg gagattcagt 661 gttagactta gtccacaact atctcagcca aaagtgggac gcaggttatg tggccgcgaa 721 gttgctgagg tttgatgaga catataaatt tcatccaatt catgaggtgg gaattttcaa 781 cacattgatg atacgcatgg gtcaactcga tgacgcgtat agggatgggt tcttcgatta 841 tgacgagatt cacgctcaat tgatgaggga tgtgactttt cagtacccag aaggtaagcc 901 agtctttcgg agagatggcc aattctttaa aaacctagtg cagtattcgg gacgggcgaa 961 gattgggtat gagacgtatt taccagacag ggaattgtgg actgaatggc gaacgagatc 1021 atccgtgcaa gatgttgtac ccaagtatat ggaatggttg ataggtagat tacagttggg 1081 gaaaatgctt aaaataatgt cggaattacc agcggatgtt acgatgccca actatctttt 1141 gaaagccatt acatataaat cgagtgtata tgttaagaga ttgatactca cgtacatcgc 1201 tttacgaatg acgtttggac ggtgtccagt aaacaaaaaa ggaacgcttg cctcatcagt 1261 cttaggtttt ctacacgcgg ttattccgaa tctggaggaa tttctgagga aagcgggaat 1321 aacggatgaa ctatgtgtta aaatggagtt tacgccgaga cttactgtga tggagagaga 1381 ggataggaag tcagacagat acgccgttgt cttgcaagtt tatagggaga ggaagctgga 1441 ggtttttacg cctatagact cagacttgtt cgaagatcgg aaaaagtact atgacgagat 1501 cttgaaagat aaaagatggc gtggagaaga gactgattat ttttttaaag actcagggat 1561 acaccggtcc caggtggctg ggttgagcgc agagcagctc acgttgaaaa agttaggacg 1621 cgactcagat ttcaacgacc ctaaacggtt cgtttcatac agatatagat atgtatcagt 1681 taaagcggga gatatctatg cagaagggga gagcgttata acgggaccat tattgacact 1741 gattccacat gcctacgagt tcggacgagt atctttgatt gcggggcagt ctcgagatca 1801 atcaaagttg gataatgtcc cagtctaccg tgaccacatg aaatccttgg agttaaatgg 1861 cgtcgaagtt ggctatgaca cttggtgtcc gtcggggcgt gcagtacaag ttaacttgga 1921 gttgatatct accatcctgt ataacgcgtt caaacgtccc atcgttaagg gagcattatg 1981 tcacttcggt atgtgggaat tttataaccc gagacgtccc gcgtatgagt cagtagacgt 2041 gacaatcatg aatgcgatct cggatatcac tgggagcaaa agatgggcat atcaggaaat 2101 tcaagattgg ttggcgagat ttattaaggg gtcacgggtt gacatggtga cacaccgctt 2161 ccacggggta acgaagaagc caacaactcg aggtgagata tggatctgga acctactact 2221 agttttgatc tcaaatccca gtctggtggt atcacaaacg gataaatttc ccttatgggt 2281 ttgcgcctct gatggcttac acctgattag tacgggagtg aggcataccg atcattttag 2341 actttgggag tggctaccat ataccgaaaa aattgggaac gacgattata tgtcggttct 2401 cgccacagat agagagttgc ggcttttcga aatcgcgttg gaatacttcg agactatacg 2461 cattggatat aggagagatg aatggacgca tttgaaatcg aacatgttta atacctggct 2521 ggggacgcat tgtgggggtg taggggacgg gatgatattg tttgacccgg tgagattacc 2581 atccccgagc agcgtccttt atttgatctg ttcgcataac tcaactttag aaggaatgat 2641 gtatttacta catgatatat acgggaagat cgttgaagag aatactggta ctgttttcat 2701 aagggtacac gcgcgaggtt gtaagtgctc ggtgtgccga gggggtttac agggagttga 2761 cgtaaagaat aggtcagcta tgcgtgttcg tagtatgcca gggaacatcg gcttcgattc 2821 agtcaaccta attctttcaa catcaacgac gagcgcgttt gggaactctt acatttactt 2881 taagcttatt aatcgttagt gaggtgacac tcgctccgcg atcacgcaga tac // LOCUS JQ610677 2781 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 3, complete sequence. ACCESSION JQ610677 VERSION JQ610677.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 2781) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 2781) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..2781 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="3" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 18..2738 /note="outer capsid and cell attachment protein" /codon_start=1 /product="VP3" /protein_id="AFX73389.1" /translation="MAHADAKGSDPEREALRKNPYLDGDVLGTAGGQVLSVFALTEIL QKVRQTQAELAAHAIDLDGPVPEITGVIKKIAELVDTVPYEVRDSPPISYKTLSMQSR DFVIQVDQYYEQISQIGGDVGEDEPMEFYKTMLEKVRYLRKSGAFILRGIKTRDYRGN EVAEPEALGVEFREVLSNFIAADRQVIQNALDAAIVENGQVGDRAVDVYMAAVSEPWY RIYNRLQAYIEVTQLRELRRAMEWLNALGRRKRVEYDDSFLTDFRARDTVWVQTQQLP VNARVIWEVPRSYIANLMMNIALCLPLGDFIAPNPRIGSITITQRITMTTPFGMMSGM TPTSMQMDDVKKIYLALLFPGQIVLNIKPDPAHSIDPVLRMVSGVLGHLMFTYGPRFT NITATTSQLLDSALSDYFLYMQNSRVPVVYGPTGLPLDFRIGGRQGYDCNNLRGDPQT GRGYNGWGVVDVDRRAPSPYDLVQRFIRYCNIDSREIIDPRTFGFNMNYPLYMEMIRA LVAGGKDQEAAYLRQMLPFHMIRFARINQIINEDLLSAFSLPDEDFDALFFNMLRGEY GKAEPIVLDISWASIWFAFNRYFDPVQRSDLLSVAPMIEAVYASEISILQLDMINLQQ LRARAPDMLINATPSQFWKAALASAAEPVVELMNLSQSFRFINVRDIIQWTRTREVQP SLALTLEREAWAVAADFEELMLVNHVYFHRSVVPEPQLDDIDEFRRQGFLYTNLLEAA PPRLLITNYDYNVALLQANLGQFKSALRRILDDGGWVMFGGMLRNVRLKIYDSKPGED VLSELPYLYSEKVENGLRFVSLKYARRATIYFLMYKVEYSNTPDALISVNPTYTMTKI YTNKRLVRKVRSPDVLNIVNKRVVAYKTKMRLIDITSALRLGVKLAAPTV" ORIGIN 1 gtatatattc cttcgcgatg gcgcatgcgg atgctaaagg aagtgatccg gagagagagg 61 cgttgaggaa gaacccttat ctagatggag acgtcttggg aaccgcaggc ggccaagttt 121 tgtcggtttt cgcattgacc gaaattttac aaaaagtaag acagacgcaa gctgaactgg 181 ccgcacacgc aatcgatttg gatggaccag tccctgagat caccggggtt attaagaaga 241 tagcggagtt agttgacacc gttccatatg aagtgcgcga ttcaccacct ataagctata 301 agactttaag catgcaatcg cgcgactttg tcatccaggt ggaccagtat tacgaacaga 361 tttcgcaaat tggaggagac gtcggggagg acgagccgat ggagttctat aaaacaatgc 421 tagaaaaggt acgctattta aggaagagtg gagcattcat tttgagaggt attaaaacac 481 gagactatag gggtaatgaa gtggcggaac cagaagcttt aggagtcgaa tttcgtgaag 541 tactttctaa ttttattgcg gcggatagac aagtgataca gaatgcgtta gatgcagcca 601 tagttgaaaa tggccaggtg ggtgataggg cggtcgatgt ttatatggct gctgtttctg 661 agccatggta tcgaatatat aataggttac aggcgtatat tgaagttacg caactgagag 721 aattgaggcg cgcaatggag tggctgaatg cacttggtcg tcgtaagaga gtggagtatg 781 atgattcatt cttgaccgat tttcgagcga gagatacggt atgggtgcag acgcaacagc 841 ttcccgttaa cgctcgtgtg atctgggagg ttccgaggtc atatatagct aatttgatga 901 tgaatatcgc gttatgtctg ccactaggtg atttcatagc cccaaacccg aggattgggt 961 cgataacgat aacccagcga ataactatga ctacgccttt tgggatgatg tctgggatga 1021 cccccacatc aatgcagatg gacgatgtca agaagatata tctcgcgttg ctctttcccg 1081 ggcagatcgt tttgaatatt aaacccgacc cagcgcactc catcgatccg gtactgcgta 1141 tggtttcggg tgtgttgggg catttgatgt tcacctacgg tcccagattt actaacataa 1201 cagctacaac atcgcagttg ctagatagtg ccttgagcga ctattttctg tacatgcaaa 1261 acagtagagt tccggtggtg tacggaccaa ctgggttacc tttggatttt agaatcggtg 1321 gacgacaagg ctatgattgc aataatctgc ggggagaccc gcagactggg agggggtaca 1381 atggatgggg agtcgttgac gtcgatcgaa gagcacccag tccgtacgat ttggttcaaa 1441 gatttatacg ttactgcaac atagactctc gcgagatcat cgacccacgg acgtttggat 1501 ttaatatgaa ctatccgcta tatatggaga tgatacgtgc attagttgcc ggaggaaaag 1561 atcaggaagc ggcgtaccta cgacaaatgt taccttttca catgatcaga ttcgcacgga 1621 tcaatcagat aataaacgaa gacttactta gcgcgttttc cttaccagat gaggatttcg 1681 acgcattatt tttcaatatg ctgcgcggcg agtatggaaa ggctgagccg atcgttttag 1741 atatcagttg ggcttcaatt tggtttgcgt tcaaccgcta ctttgaccca gtccaaaggt 1801 cagatctatt atcagtggca cccatgattg aggctgtcta tgcgtcagaa atctccattt 1861 tgcaattgga tatgatcaac ctgcagcagt tgagagcgag ggcacctgat atgttgatta 1921 acgcaactcc gagtcagttt tggaaagcgg cgttagcatc cgcagcagaa ccagtagttg 1981 agttgatgaa tctttcgcag agttttcgat tcattaacgt cagggatata atacagtgga 2041 ctagaacacg agaagtgcaa ccgtcgctgg ctctcacttt ggaacgagag gcgtgggcgg 2101 tcgcagctga cttcgaagag ttgatgctcg taaaccatgt ctattttcat agatcggtgg 2161 ttcccgaacc acagttggat gacatcgatg aatttcgtag gcaaggattc ctgtacacaa 2221 atctattgga agcggccccc ccgcgtttgt taatcaccaa ttatgattac aacgttgcgc 2281 tactgcaggc gaatcttgga caatttaaat ccgctttgag gagaattctg gatgacggtg 2341 gttgggtgat gttcggggga atgctgagaa atgttcgttt gaaaatatac gattcaaagc 2401 cgggagagga cgtcttaagc gaactaccct atctttactc cgagaaagtg gaaaacggtt 2461 taaggtttgt gtctttgaag tatgcgagac gagcaactat ttatttttta atgtataagg 2521 ttgaatattc aaacacacca gatgctttaa tatcagtcaa ccccacgtat accatgacga 2581 agatttatac aaacaagaga ctggtccgga aagtcaggtc acctgacgtt ttgaacatcg 2641 ttaataaaag agtagtggct tataaaacga agatgcggtt gattgacatt acatcggcac 2701 tgcgtcttgg tgttaaactt gcagcaccta cagtgtgaat tgaccactca acctgtggtg 2761 ctcggtgggg aattcgctta c // LOCUS JQ610678 1957 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 4, complete sequence. ACCESSION JQ610678 VERSION JQ610678.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1957) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1957) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1957 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="4" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 13..1926 /note="capping enzyme" /codon_start=1 /product="VP4" /protein_id="AFX73390.1" /translation="MEPFAVLHLSAKLAPLVREGFIPYVDLDNIKTLNDLWIEIGKCS SDVYAVGRINRWTIRQLRAYRFIFVSEKRTITLKDIKITPDVPIRCADGLDLKLLETT IGRKRLVLRKTFGDILRKYALSQSVHLHGSEAETLNMADPTIHHVKGLPMIAPNHLNP TKPWSDLDDTETDEKLVSMLDYAMYSAQEVHYVGSGDGRTIRLFAKRDKKRFDRAKWV CYDPIMTDIGLTNVIAVKHYVNTFRDMLPYLNTGDRVERLLLWDVSGDAAKHDRFWEA QRTEEDRRGESVAVSLTEYFALAIIKHRIPIYEEKYRCTTSWIVPQPGAVREMYEMRN IILLNGFSRVNRAHIPQAGVMEIEADVLREMVRNFHGAGRGRLLKKSLYESLHIHQVD GLEDSEDGARSDLFYLTNQRNVNSIQSIRRVLGNSTVSTLWVSRERVFEYDDFNFDRS ALMLWHRGREHLLFDGNGAVLYLMWQHGDRYRKDVNYDPSWAEHFAVLIREPQPWRPV PDLSLCRFISLRRVSTVIRIRGDIHRKSDQVKRLGLDLSGHLFVTLISGAYLADLRWW FRMIIQWSKQRRQEKIDDLAKVNAEVVEWKEEKADEPWHRKEDLIAALIAAKSITGDQ HIDGWIAELRDME" ORIGIN 1 gtatatttcg aaatggagcc ctttgctgtg ctgcacctat cagccaagct ggcaccgctg 61 gtgcgtgagg gatttatccc gtatgtggac ttggataata ttaagacgtt gaatgacctc 121 tggattgaga ttggcaaatg ctcatctgat gtatatgcgg ttggacgaat aaataggtgg 181 acgatacgtc agctacgtgc gtatagattc atattcgtgt cggagaagag aacaataacg 241 ttgaaggata ttaagatcac acctgacgtg ccaataagat gcgcggatgg gctagactta 301 aagttacttg agactacaat aggacgtaaa agattagtgt tgcgaaagac gtttggagac 361 atactgcgaa aatatgcgtt aagccagtcg gtacacttgc atggatctga ggcagaaacc 421 ttgaatatgg cggaccctac catacatcac gtgaaggggt taccaatgat agcgccaaat 481 catttaaatc caacgaaacc atggagtgat ctggacgaca cagaaaccga tgaaaaacta 541 gtgtcaatgc tagattacgc gatgtatagc gcgcaagaag tgcattatgt tggctcggga 601 gacggtagaa cgatacggct gtttgcaaag agggacaaaa agagatttga tagagcgaag 661 tgggtgtgct atgaccctat tatgactgat attggattga caaatgtgat agctgttaaa 721 cactatgtca atactttcag ggatatgcta ccgtatttaa atactggcga ccgagttgag 781 agattactat tgtgggacgt aagtggagat gcggcgaaac atgatcggtt ttgggaagct 841 cagaggactg aggaggaccg gcggggagaa tcagttgccg tgtctttaac ggagtacttc 901 gccttggcta ttatcaaaca tagaattcca atctatgagg aaaagtatag atgcaccact 961 tcgtggattg taccgcagcc tggcgcggtc cgcgagatgt acgagatgag gaatatcata 1021 ctgttgaacg gtttttctag ggtaaatcga gcgcatatcc cccaggcagg cgtaatggag 1081 attgaggctg atgtgttacg tgagatggtg aggaacttcc atggagctgg tcgcggtcgg 1141 ctgctgaaga aatcgcttta tgagagtcta catatccatc aagttgatgg attggaggat 1201 tcggaagacg gagcgcggag cgatctcttt tatttaacca accaacgtaa tgttaattca 1261 atacaatcaa tcagacgagt tttgggaaat agcacggtgt cgactttatg ggtgtcaagg 1321 gaacgagttt tcgaatatga tgactttaat tttgaccgat cagcgttgat gctctggcac 1381 aggggtagag agcacttact atttgatggc aacggcgcgg ttctatattt gatgtggcag 1441 cacggagata gatatagaaa ggatgtgaac tatgatcctt cgtgggccga acattttgca 1501 gtattgatcc gagagccaca accttggcga ccagttccag atctgtccct ctgccgtttt 1561 atttcgctaa gacgggtgtc gacggttatt agaatacgag gcgatattca caggaaaagt 1621 gatcaggtaa agcgtttagg gttagatttg tcaggacatc tgttcgtaac gttaatttct 1681 ggagcgtatc ttgccgattt aagatggtgg ttccggatga tcatccaatg gtcaaagcag 1741 cgtagacagg aaaagataga cgatttggct aaggttaacg ctgaagtggt tgaatggaaa 1801 gaagagaaag ccgacgaacc gtggcatcgc aaggaggacc tgatcgctgc tttaatcgcg 1861 gcaaaaagta tcaccggtga tcagcatata gatgggtgga ttgcggagct gagggatatg 1921 gaatgacatc cacccgaggg gcaatcgaac tacctac // LOCUS JQ610679 1735 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 5, complete sequence. ACCESSION JQ610679 VERSION JQ610679.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1735) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1735) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1735 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="5" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 36..1676 /note="non-structural protein 1" /codon_start=1 /product="NS1" /protein_id="AFX73391.1" /translation="MDQFLDSFDVTGDEANALRLLRAVSPEMTCSHLRRDCLIGGICA KQFFNEVLMAILDSKDRQAARQLVTLAVMTSYDRELIWLNVLRSTEVLPANDYAHEIQ NVVLNLKRVFIESGLEEKYKSFRAKRRPNRSPTEDAFSFLPFFYIPMNETKRVGIKKL TRVRNLGVAFVDRREVTHHLPFTVDAARRDLMMLRNFTLEHQRTCTFTGSKSLIHGMI FCPEEMEPLFQKKETALEIYRICEQDMKFINSRGTMSFPRFLMQRLAVKNASSDAMDQ VMLGRTPSDGRLMSVTGASFFFGGGPDWRKWAMPALLVRAARLRTVVTSFVKEWFDST HTCQVCFLVEKGVADSIPITDVRLSDVCGVGPVAYVRSYAHDDGNAPDVRVLRKGEIF RLMGGHYVMQTTASTMESLVVAAKEMQRLVRGDGFWDTPYWGLSMANLCKIMFHENPA KEQIHFMIKLITFGMFGGVQRHNGLFTDWDNLEEFLKRMFSTEEMGVRMYESSYHAIL RACILHLQTTAKPTLVQLTHAIESLDLGIEEVPFNFYV" ORIGIN 1 gtaaaaagaa tcctctgcgt tcactgggca cgaacatgga tcaattcttg gattcttttg 61 atgtgactgg agacgaggcg aatgccttga gattattgag agcggtttca cctgagatga 121 catgctcaca tttgaggaga gattgtttaa ttggagggat atgcgcaaaa cagtttttca 181 acgaggtgct gatggccatt ctggattcaa aagatcgtca ggcagcgcgt cagctggtga 241 cattagctgt gatgaccagt tacgaccgag agctaatctg gctcaacgta ctaaggtcaa 301 ctgaagtgct gccggcaaat gattatgcac atgaaataca gaatgtggtt ctgaacttga 361 agagggtctt catagagagt gggttggaag aaaaatacaa gagtttcagg gcgaagcggc 421 gtccaaacag atctccgacc gaggatgctt tctctttttt gccctttttc tacataccca 481 tgaatgaaac aaaacgggtt ggaataaaga aactcactag agttcggaac ctaggtgttg 541 cttttgttga tagacgcgaa gtgacgcatc atttaccgtt cacggtggac gctgctagaa 601 gggaccttat gatgctgaga aatttcacgc tggagcacca aagaacatgt acgtttacgg 661 gttcaaagag cttgatacat gggatgatat tctgtcctga ggagatggaa cctcttttcc 721 agaagaagga gacagcgcta gaaatctaca gaatttgtga gcaggatatg aagtttatca 781 actcaagagg tacgatgtca tttccccggt ttttgatgca acgtttagcg gtgaaaaacg 841 cttcatctga tgcgatggac caggttatgt tgggacgaac tccgagcgat ggacgtttga 901 tgtcggtgac tggtgcctct ttcttttttg gagggggacc tgattggcgc aagtgggcga 961 tgccggcgtt gttggtacgt gctgcaagac tgagaaccgt cgtgacatca ttcgttaagg 1021 agtggtttga ttcgactcac acatgtcaag tctgtttcct agttgaaaaa ggtgtcgccg 1081 attcaattcc gatcactgat gttcgtttat cggatgtgtg cggcgtagga ccagtcgcat 1141 atgttagatc ttatgcacat gatgacggga acgcgccgga tgttcgcgta ctgagaaaag 1201 gtgaaatctt cagattgatg ggcggacatt atgttatgca gacaacggcg agtacaatgg 1261 aatcattggt cgttgccgcg aaggagatgc agcgtttggt tcgcggcgat ggtttttggg 1321 acacaccgta ttggggttta agcatggcaa acctttgtaa aatcatgttt catgaaaacc 1381 cagcaaagga acagattcat ttcatgatta agctcataac ctttgggatg tttggtgggg 1441 ttcaaaggca caatggactg ttcacagact gggacaattt ggaggagttc ttgaagagga 1501 tgttttctac ggaggagatg ggcgttcgta tgtatgagtc aagttaccat gcgatacttc 1561 gtgcgtgcat actacatcta cagaccactg cgaagcctac cctcgttcaa ctaactcacg 1621 cgatcgaatc actcgacctt ggaatagaag aagttccttt caatttttat gtctaaaaca 1681 tcataataaa ccataaagag tctgagtaat tgtatccctg agctcttact cttac // LOCUS JQ610680 1605 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 6, complete sequence. ACCESSION JQ610680 VERSION JQ610680.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1605) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1605) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1605 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="6" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 22..1581 /note="outer capsid protein" /codon_start=1 /product="VP5" /protein_id="AFX73392.1" /translation="MGKFVKALKKIGRGTVKALTSDAAKKLYTTLGKAATRFAESEVG SAAIDGLIQGTAQTLLHGGSASENIKQAVVLGVLHSMETPADPLSPGEQGVYDKIKEI KREEKEDRFFEVYQEKIDEELGSDMKRMREVAKGDKQAIKEMGGEIKVIEKAFDGLIK IDKIQDMKLTQLYGALAKERTERTQDEIKMVNDYTGKIEALQSAITVERDAMQEEALQ EIIEMGTDVIETASEEVPIFGPAAANVVATGRMVEGTLKLKQVIEKLAGLDVSHTTRD RIEPKVINAILDHEGGVVPEKELAIGVYNKLQTVREHMAEHSHLKEMAIPRLQKLYTE HGDEWHPKIITQMKVAREHQPQIHIYCAPWESDDVFMLRVYAPHHIGCGLFLGVDLES EFIFYEDLIAENHVLRGGVIEVVGRNFRQAVREFLLMAASKIENTMHVKRLVRSSASS PIYLSSIHYECTFDEIKQNVLQIVHDEQLQMHLLRGPKHFQRRALMAAVVKGVKILEG PDTKALMLQGL" ORIGIN 1 gtataaaata cctcggtcat catgggcaaa ttcgtaaagg ccctgaagaa aataggaagg 61 ggtacggtga aggcactgac gtctgacgct gcaaagaaac tttatacgac tttaggaaag 121 gcggcgacgc ggtttgctga aagcgaagtc ggcagcgcgg cgattgatgg attgatacaa 181 ggaacagcgc aaactttact gcacggaggc agcgcgagtg aaaatatcaa gcaagcggtt 241 gttttaggtg ttctccacag catggaaacg ccggcggacc ctttatcacc aggagagcaa 301 ggagtatatg ataagattaa ggaaattaaa cgagaagaaa aggaagatcg gtttttcgag 361 gtttaccaag aaaagattga cgaagagctt ggttcagata tgaagcgaat gcgagaagtg 421 gcaaaaggtg ataagcaggc catcaaggaa atgggtggtg aaattaaggt tatcgagaaa 481 gctttcgatg gattgattaa aatagataaa attcaagata tgaaattaac gcagttatat 541 ggcgcgctcg cgaaagagcg tacggagcgt acgcaggacg agatcaaaat ggttaacgac 601 tacactggaa aaattgaagc actgcaatcc gcgataacag ttgagcggga cgctatgcaa 661 gaggaggcgt tgcaggagat aatagaaatg ggaacggatg taattgaaac cgcctccgaa 721 gaggttccga tattcggccc tgcggctgcg aatgtagtcg caactggacg aatggttgag 781 ggcaccttaa agttgaagca agtaatcgag aaattagcag ggttagatgt ttcgcacacc 841 acaagggaca gaatcgagcc gaaagttata aacgctatac tagatcacga ggggggcgtc 901 gtaccggaaa aggaactagc gattggtgta tataataagc tgcagacagt cagagaacat 961 atggcggaac acagccatct aaaggaaatg gcaataccaa ggctgcaaaa gctgtacaca 1021 gaacacggcg atgagtggca tccaaagata attactcaaa tgaaggtagc gagagaacat 1081 cagccgcaaa tacatatata ttgcgctcca tgggaatcgg atgacgtgtt tatgttgcga 1141 gtgtacgcgc cgcatcatat agggtgtggt cttttcttag gagttgattt agagagtgaa 1201 ttcatatttt atgaggattt gatagcagag aaccacgtat tgcgtggtgg cgtcattgaa 1261 gtcgttggaa ggaacttcag gcaagcagtg cgcgaatttc ttttgatggc tgcgagcaag 1321 attgagaaca ctatgcatgt caagcggtta gtgagaagct cggcttcctc acctatctac 1381 ttgtcaagca tacactatga gtgtacattt gatgagataa aacagaacgt tttacagatc 1441 gtgcacgacg agcagttaca gatgcatctg ttacgtggtc cgaaacattt ccaaagacgt 1501 gctctgatgg cggctgttgt taagggtgtt aagatcttag aggggccaga tacgaaggcg 1561 ctcatgctac agggtttgta agtggctgaa aggtatcaag aatac // LOCUS JQ610681 1166 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 7, complete sequence. ACCESSION JQ610681 VERSION JQ610681.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1166) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1166) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1166 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="7" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 17..1069 /note="T13 protein" /codon_start=1 /product="VP7" /protein_id="AFX73393.1" /translation="MDAIAARALSVIQDCISVGDGRINLDPGVMERLGIAINRYNGLT NNVVTIRPGTQDERNAMFFMCLDFALAALNIQIGVISREYTQALATIGVLATGEIPYS VAAMDTIVRISGTMATWGPTEYELPPYARSQMIQMSGRYYVPAGANSHAAHVDPTTVE ISLAAGVVVNVTNALQPRGVAPTMMYMVWHPLAIFANPQGATAASPQNMTLVVGGLNI AAGTIIAWDTVAPIQLSNQGGQEGMIAIRILWMTTLDKSMTSLPEMREIISRCYSFMH PSWHALRGTVLHSLNLPTNNPPMFAPATRQEALAYLILANLADAYTSLRPDFTIQGML AVPQVIDRQFVQGAYR" ORIGIN 1 gtataaatat ctagagatgg acgccattgc ggcacgtgct ctgtccgtga tccaggactg 61 cattagcgtt ggtgatggga gaattaattt agaccctggg gtcatggaga gattgggaat 121 tgctattaat agatacaatg ggctaacgaa caatgtggtg acgatcagac cagggacaca 181 agatgagcgg aacgcgatgt tttttatgtg tctggatttc gcgttggcgg cattgaacat 241 acaaattggg gttatatcta gggaatacac gcaggcgctg gccactatcg gtgtgctggc 301 aacgggagaa atcccttact cggttgccgc tatggatacg attgtacgga ttagcggaac 361 gatggcgaca tggggtccca ccgaatatga gttaccgcca tatgcgcggt ctcagatgat 421 acaaatgagc ggacgttact acgttccagc gggggcgaat tcacatgctg cccatgtcga 481 tcccacgacg gtagagattt ctttagctgc tggagtagta gtgaatgtta cgaacgcgtt 541 acagcctagg ggcgttgcgc ccacaatgat gtacatggta tggcatccgt tggcgatttt 601 cgcgaatcct cagggtgcta cagctgcttc gcctcaaaat atgactttgg tggttggtgg 661 gctgaatata gcagctggca cgatcatcgc ttgggatacc gtcgctccta tacagctatc 721 gaatcaggga ggacaagagg gaatgatcgc gatccggata ctatggatga caacattaga 781 taaatctatg acaagcttgc cggagatgcg tgaaataatc tcaagatgct atagctttat 841 gcacccttca tggcacgcgc tgcgagggac ggtcctacat tcgcttaatc tgccgactaa 901 taatccacct atgtttgcgc ctgctacgcg acaggaggca ttggcgtact taattctggc 961 aaatttagcg gatgcatata cgtcgttaag gcctgatttc accatacaag gaatgctcgc 1021 ggttccacag gtcattgaca ggcagttcgt tcagggtgcg tacaggtaga ggacgccttc 1081 cacagtgggc gtctcatgta gccccagcgt cggtccctta cgtgtgctgt aacgcgtagg 1141 tagaacgtca tatgatatta agttac // LOCUS JQ610682 1089 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 8, complete sequence. ACCESSION JQ610682 VERSION JQ610682.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 1089) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 1089) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..1089 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="8" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 26..1057 /note="non-structural protein 2" /codon_start=1 /product="NS2" /protein_id="AFX73394.1" /translation="MAQEVKRKFTRTVCIYDPQNRTFCGRSAAMVCNSYYTIKMGRTT QCGVSPVPVPKSYVLEIPDVGSYRILDGQDSISVIVTETGVEATSERWEEWKFEGVNC VPMVVQTEIGKGLIDMEIKFSKGMGLVKPYVKNEVSRTEIPRLPGASVIDTPIRDYRQ LLKDQRDERRAALDAIACDICPTLSRMLGANITDGSPQVEEVATRPTQPPAQLKLDVP NWDQPTDSDDEDEESKRVTTQSNADTEEQVTFEDCITDQYFSKTGEFAKKYPEMLAGL SAKMPSETGRFTKILTTRKAQWNNVPLFELDPNGFTYHFSKLGNSTRIFCVQRDLSYM VLPAGQGLK" ORIGIN 1 gtaaaaaatc tcctctcttt tcacgatggc tcaagaagtt aagagaaagt tcactagaac 61 agtgtgcatc tatgatccac aaaatcgcac attctgtggt cgaagtgccg cgatggtgtg 121 taacagttat tatacaatta aaatgggtag aacgacgcag tgtggagtgt cgccggtgcc 181 cgtaccaaag tcatatgtgc tagagatacc ggatgttggc tcttatcgca tcttagatgg 241 gcaggattca atcagtgtca tcgttactga gacgggcgtc gaggcaacgt ctgagaggtg 301 ggaagagtgg aaattcgaag gcgttaattg cgttccgatg gttgttcaaa cggagattgg 361 gaaaggcctg attgacatgg agatcaagtt tagtaaggga atggggctcg ttaaacctta 421 tgtaaagaat gaggttagca gaactgagat cccacggcta ccgggtgctt cagtcattga 481 tacaccgata cgcgattacc gtcaactttt gaaggatcag agagatgaaa gaagggcggc 541 gctcgatgcg atcgcatgcg acatatgtcc cactctatca agaatgctag gggcgaatat 601 tacagacgga tcgccacaag tcgaagaagt cgcaacacgg ccaacacaac ctccagctca 661 gctgaagctg gatgtgccta actgggacca accgactgat tcagatgatg aggatgagga 721 atccaagcgc gtgacaacgc aaagtaatgc tgatactgag gaacaagtga ctttcgaaga 781 ttgcattacc gatcaatact tttcgaaaac gggtgaattc gcgaagaagt atcctgaaat 841 gttagcggga ctttccgcga agatgccgag tgaaacaggt aggtttacaa aaatattgac 901 gacgaggaag gctcaatgga ataacgttcc tcttttcgaa ttagatccaa acgggtttac 961 atatcatttt agtaagctgg gtaattcgac gaggatcttc tgtgtccaac gtgatttgag 1021 ctacatggtt ttacccgcag ggcaaggcct gaagtagcgg tgcatgtagc cgggagaggt 1081 acaacttac // LOCUS JQ610683 925 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 9, complete sequence. ACCESSION JQ610683 VERSION JQ610683.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 925) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 925) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..925 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="9" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 23..883 /note="helicase" /codon_start=1 /product="VP6" /protein_id="AFX73395.1" /translation="MLVLAPGDLIDGVRHQLSERGVRIRLRETNDDEQKDEPVDTGGG KPGDRIGKEVGNAESEQSSDKEKKAGGSSDSELGEGGDGRRQTEKAEGGENGTRDIGI QDKDKQFDRRANPDNALDRENRSGDPQLKYGFATKRIANAVESKYHCGGFEGPGSDGY IKLEMSIMKALGLNRDDHIEQLEFLKHQQKGPSKIQVRTIASETKLKEVCNIMDKPVA PTARSAVSVVSNRVEDVKEAQVYFTTPTGDRGWKEVARKASQTPNIRAYINPEGDDPK VSFLHLIDHL" CDS 111..512 /note="non-structural protein 4" /codon_start=1 /product="NS4" /protein_id="AFX73396.1" /translation="MMTSKRMNQWIREAASRVIESGRKLEMPRVNSLPIKRRRLEEVR IQSSGKVEMEGDKLRRLKAERMELEILAFRIKTNNLIGALIQITRWTEKIDQEIRNLN MDLQPNELQTPLSQSTTAVDLRGQDRMDTSN" ORIGIN 1 gtataaaaca tcctcccatg tcatgttggt gttggcaccg ggtgatctca tagacggagt 61 gcgtcatcaa ttatctgaaa gaggagtcag gattcgttta cgggaaacga atgatgacga 121 gcaaaaggat gaaccagtgg atacgggagg cggcaagccg ggtgatcgaa tcgggaagga 181 agttggaaat gccgagagtg aacagtcttc cgataaagag aagaaggctg gaggaagttc 241 ggattcagag ctcggggaag gtggagatgg aaggcgacaa actgagaagg ctgaaggcgg 301 agagaatgga actagagata ttggcattca ggataaagac aaacaatttg atcggcgcgc 361 taatccagat aacgcgttgg acagagaaaa tcgatcagga gatccgcaac ttaaatatgg 421 atttgcaacc aaacgaattg caaacgccgt tgagtcaaag taccactgcg gtggatttga 481 ggggccagga tcggatggat acatcaaact agaaatgtca ataatgaagg cgctaggttt 541 aaaccgagat gaccacatcg aacaattgga gttcctcaag caccaacaga aagggcccag 601 caaaattcaa gtcagaacga tcgcttccga aaccaaatta aaagaggtgt gtaatataat 661 ggacaagccg gtggctccca cagcgagaag tgcggtgagt gtagttagta accgtgttga 721 agacgtgaag gaagcccagg tgtattttac aactccaaca ggagatagag gctggaaaga 781 agtagcaagg aaagcgagcc agacaccaaa cattcgagcg tacattaatc cggagggaga 841 tgatcctaaa gtctcatttc tgcatttaat cgatcatctg tgaggtcacg gtctgaacta 901 cgggcatgct gggtgtttca gttac // LOCUS JQ610684 761 bp RNA linear VRL 31-JAN-2014 DEFINITION Orungo virus isolate UGMP 359 segment 10, complete sequence. ACCESSION JQ610684 VERSION JQ610684.1 KEYWORDS . SOURCE Orungo virus (ORUV) ORGANISM Orungo virus Viruses; dsRNA viruses; Reoviridae; Sedoreovirinae; Orbivirus. REFERENCE 1 (bases 1 to 761) AUTHORS Mohd Jaafar,F., Belhouchet,M., Belaganahalli,M., Tesh,R.B., Mertens,P.P. and Attoui,H. TITLE Full-genome characterisation of orungo, lebombo and changuinola viruses provides evidence for co-evolution of orbiviruses with their arthropod vectors JOURNAL PLoS ONE 9 (1), E86392 (2014) PUBMED 24475112 REMARK Publication Status: Online-Only REFERENCE 2 (bases 1 to 761) AUTHORS Attoui,H., Mohd Jaafar,F., Mertens,P.P.C. and Belhouchet,M. TITLE Direct Submission JOURNAL Submitted (01-FEB-2012) Vector-Borne Diseases, Institute for Animal Health, Ash Road, Pirbright, Woking, Surrey GU24 0NF, United Kingdom COMMENT GenBank Accession Numbers JQ610675-JQ610684 represent sequences from the 10 segments of Orungo virus. ##Assembly-Data-START## Assembly Method :: manually v. manually Sequencing Technology :: Sanger dideoxy sequencing ##Assembly-Data-END## FEATURES Location/Qualifiers source 1..761 /organism="Orungo virus" /mol_type="genomic RNA" /isolate="UGMP 359" /isolation_source="Anopheles funestus" /host="Homo sapiens" /db_xref="taxon:40058" /segment="10" /country="Uganda" /collection_date="Sep-1959" /note="acronym: ORUV" CDS 20..703 /note="non-structural protein 3" /codon_start=1 /product="NS3" /protein_id="AFX73397.1" /translation="MYRDLLNIHTEMRGPPSYEPSGLAQATAPTMRFGDREDEEGLLR ARELSLNVLTNAMTNTTGANEAIKNEKAMFGAYADALRDTPEIRVVKRRINERTLEKL HKMRRSLHGRRMFVRMLLAINVGLALLTSAVNVVRQSLDDFGKERWIVGGVWWLGEVV VTINFGTTVATLVLMRIHGALNAQLQTIKRDIYKKSSYNEAAAMHWKGEISLIEELAA SHVPAGSNV" ORIGIN 1 gtataaaatt ccgttcgcaa tgtaccgtga cttgctgaat attcacactg aaatgagggg 61 cccgccatct tatgaaccta gtggcttagc tcaagcgaca gcaccgacta tgaggtttgg 121 ggatagagaa gatgaggaag gcctattgag ggcgcgcgag ctttcgctta atgtgttaac 181 gaatgctatg actaatacaa cgggtgcgaa tgaggcgatt aagaatgaga aagcgatgtt 241 tggggcatat gccgatgcac ttagggatac tccggagatt agggtggtga aaaggcggat 301 aaatgaacgt acgttagaaa agttgcataa aatgcgacgt tcgctgcacg gaagacgaat 361 gttcgtacga atgttgttgg cgataaatgt gggattggcg ctattaacct cggcagtgaa 421 tgtggtacgc cagtcgctag atgattttgg gaaagaaagg tggatagttg gtggagtgtg 481 gtggttaggt gaggtcgtcg ttacgattaa ttttggaacg actgttgcta cgttggtatt 541 aatgaggata catggcgcat taaacgcgca gcttcaaacc attaagcgtg acatatataa 601 gaaaagctcg tataatgagg ccgctgccat gcattggaaa ggtgaaatta gcttaattga 661 ggagctagcg gcgagccacg tacctgcggg atcgaatgtc tagtccgcga catcgaaaaa 721 ttcacttgtc caggtgaagc ccgtagaacg gatcgtctta c // ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/ambiguous/barcodes.txt ================================================ Barcode1 Likely_Index_Names1 Barcode2 Likely_Index_Names2 Count CTCTCTAC N707 AAGGAGTA S507,[N|S|E]507 40324834 GGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 12067922 CTCTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 9352602 TAAGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 9213648 GGACTCCT N705 AAGGCTAT S520 6391634 TCCTGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 4891900 CTCTCTAC N707 TCGACTAG S513 4242203 TAAGGCGA N701 AAGGAGTA S507,[N|S|E]507 4160867 CTCTCTAC N707 GCGTAAGA E517,S517,[N|S|E]517 1831895 GGACTCCT N705 GAGCCTTA S521 1418032 CGTACTAG N702 AAGGCTAT S520 1021205 CGTACTAG N702 GAGCCTTA S521 652596 TAGGCATG N706 TAGATCGC [N|S|E]501 455611 TAGGCATG N706 GAGCCTTA S521 418837 TCCTGAGC N704 TCGTAAGA E517,S517,[N|S|E]517 175892 CTCTCTAC N707 AGGAGTAT Unknown 145075 CAGAGAGG N708 GCGTAAGA E517,S517,[N|S|E]517 118186 CTCTCTAC N707 AAGAGTAT Unknown 79895 TCTCTACA Unknown AAGGAGTA S507,[N|S|E]507 74461 CTCTCTAC N707 TCGTAAGA E517,S517,[N|S|E]517 71672 CTCTCTAA E502,N707,S502,[N|S|E]502 AAGGAGTA S507,[N|S|E]507 71100 CTCTCACA Unknown AAGGAGTA S507,[N|S|E]507 66418 CGTACTAG N702 TCGACTAG S513 61974 CTCCTACA Unknown AAGGAGTA S507,[N|S|E]507 60633 GGACTCCT N705 TAGCCTTA S521 56252 CTCTCTAC N707 AAGGAGTT S507,[N|S|E]507 56036 CTCTTACA Unknown AAGGAGTA S507,[N|S|E]507 48032 CTCTCTCA Unknown AAGGAGTA S507,[N|S|E]507 46157 CTCTCTAC N707 AATGAGTA S507,[N|S|E]507 45196 CTCTCTAT E502,S502,[N|S|E]502 AAGGAGTA S507,[N|S|E]507 41520 CTTCTACA Unknown AAGGAGTA S507,[N|S|E]507 38556 CTCTCTAC N707 AAGGATAT S520 38371 GGGGGGGG Unknown GGGGGGGG Unknown 37779 CTCTCTAC N707 AAGGGTAT S520 37348 CTCTCTAC N707 AAGTAGTA S507,[N|S|E]507 33737 CTCGCTAC N707 AAGGAGTA S507,[N|S|E]507 31828 CTCTCTAC N707 AAGGCGTA S507,[N|S|E]507 29290 TAAGGCGA N701 TCTCTATT Unknown 27529 CCTCTACA Unknown AAGGAGTA S507,[N|S|E]507 27185 CGTACTAG N702 TAGCCTTA S521 27026 CTCTCTAC N707 ACGGAGTA S507,[N|S|E]507 26688 CTCTCTAC N707 ATGGAGTA S507,[N|S|E]507 25576 CTCTCTAC N707 TCTCTATT Unknown 24747 CTCTCTAC N707 GGAGTATC Unknown 24158 GGACTCCT N705 AGGCTATT D501 23435 CTCTCTAC N707 GAGGAGTA S507,[N|S|E]507 23353 CTCTCTAC N707 AAGGAGAA S507,[N|S|E]507 22625 GGACTCTA Unknown TATCCTCT E503,S503,[N|S|E]503 21208 GACTCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 19930 CTCCCTAC E505,N707,S505,[N|S|E]505 AAGGAGTA S507,[N|S|E]507 19487 GGACTCCT N705 ATCCTCTT Unknown 18705 CTCTCTAC N707 AAGGAGTC S507,[N|S|E]507 18162 TCTCTACA Unknown CTCTCTAT E502,S502,[N|S|E]502 18065 GGACTCCT N705 TATCTCTT Unknown 17988 CTCTCTAC N707 AAGGAGCA S507,[N|S|E]507 17930 CTCTCTAC N707 AAAGAGTA S507,[N|S|E]507 17907 CTCTCTAC N707 TAGGAGTA S507,[N|S|E]507 17665 TAGGCATG N706 TAGCCTTA S521 16651 CTCTCACA Unknown CTCTCTAT E502,S502,[N|S|E]502 16525 CTCTCTAC N707 AAGGATTA S507,[N|S|E]507 16149 CTCTCTAA E502,N707,S502,[N|S|E]502 CTCTCTAT E502,S502,[N|S|E]502 15992 GGACTCCT N705 GATCCTCT E503,S503,[N|S|E]503 14680 CTCTCTAC N707 AAGGAGTG S507,[N|S|E]507 14393 CTCCTACA Unknown CTCTCTAT E502,S502,[N|S|E]502 14390 GGGCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 14330 CTCTCTAC N707 AAGGTGTA S507,[N|S|E]507 14229 CTCTACAT Unknown AAGGAGTA S507,[N|S|E]507 13739 CTCTCTTC N707 AAGGAGTA S507,[N|S|E]507 13735 CTCTCTAC N707 TCGACTAT S513 13710 GGACTCCT N705 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 13370 GGACTCCT N705 TAGCCTCT E503,S503,[N|S|E]503 13355 GGACTCCT N705 TATCCTTT E503,S503,[N|S|E]503 13243 TAAGGCGA N701 CTCTCTTT E502,S502,[N|S|E]502 13112 CTCTCTAC N707 AGGGAGTA S507,[N|S|E]507 13046 GGACTCCT N705 TATCATCT E503,S503,[N|S|E]503 12648 CTCTCTAC N707 AAGCAGTA S507,[N|S|E]507 12637 CTCTCTAC N707 CAGGAGTA S507,[N|S|E]507 12237 CTCTCTAC N707 CTATCTAT E502,S502,[N|S|E]502 12226 CTCTCTGC N707 AAGGAGTA S507,[N|S|E]507 12207 CTCTCTAC N707 CTCTCTTT E502,S502,[N|S|E]502 12085 TAAGGCGA N701 CTATCTAT E502,S502,[N|S|E]502 11989 CTCTCTAC N707 AAGGGGTA S507,[N|S|E]507 11970 CTCACTAC N707 AAGGAGTA S507,[N|S|E]507 11821 CTCTCTCA Unknown CTCTCTAT E502,S502,[N|S|E]502 11693 TTCTCTAC N707 AAGGAGTA S507,[N|S|E]507 11666 CCTCTCTA Unknown AAGGAGTA S507,[N|S|E]507 11534 TCCTGAGC N704 ACGTAAGA E517,S517,[N|S|E]517 11394 TAAGGCGA N701 AGGAGTAT Unknown 11322 TAGGCGAA Unknown CTCTCTAT E502,S502,[N|S|E]502 11123 CTCTTACA Unknown CTCTCTAT E502,S502,[N|S|E]502 11028 CTCTCTAC N707 AACGAGTA S507,[N|S|E]507 10914 TAAGGCGA N701 CTCTTATT Unknown 10736 GGACTCTA Unknown AAGGCTAT S520 10618 GGACTCAT N705 TATCCTCT E503,S503,[N|S|E]503 10411 TAAGCGAA Unknown CTCTCTAT E502,S502,[N|S|E]502 10332 CTCTCTAC N707 AAGAAGTA S507,[N|S|E]507 10232 GACTCCTA Unknown AAGGCTAT S520 10048 GGCTCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 9937 GGACTCCT N705 TTCCTCTT Unknown 9867 CTCTCCAC N707 AAGGAGTA S507,[N|S|E]507 9819 GGACCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 9587 CTCTCTAC N707 CTCTTATT Unknown 9492 TCCTGAGC N704 GCGTACGA E517,S517,[N|S|E]517 9445 TCTCTACA Unknown TCGACTAG S513 9358 CTCTCTAC N707 AAGGACTA S507,[N|S|E]507 9350 GGATCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 9282 TCCTGAGC N704 GCGTAAGT E517,S517,[N|S|E]517 9139 CTCTCTAA E502,N707,S502,[N|S|E]502 TCGACTAG S513 8975 TCCTGAGC N704 GGTAAGAT Unknown 8968 TAAGGCGA N701 CTTCTATT Unknown 8774 GGACTCCT N705 TACCTCTT Unknown 8701 GGACTCCT N705 AATGCTAT S520 8635 GGAGTCCT N705 TATCCTCT E503,S503,[N|S|E]503 8631 CTCTCTAC N707 CCCTCTAT D502,E502,S502,[N|S|E]502 8628 CTCTCTAT E502,S502,[N|S|E]502 CTCTCTAT E502,S502,[N|S|E]502 8559 TAAGGCGA N701 CTCTCATT D703 8510 CTCTCACA Unknown TCGACTAG S513 8391 GGACTCCT N705 TATCCTAT E503,S503,[N|S|E]503 8333 GGACTCCT N705 TATCCCTT Unknown 8264 AAGGCGAA Unknown CTCTCTAT E502,S502,[N|S|E]502 8114 CTTCTACA Unknown CTCTCTAT E502,S502,[N|S|E]502 8053 GGATTCCT N705 TATCCTCT E503,S503,[N|S|E]503 7982 ATCTCTAC N707 AAGGAGTA S507,[N|S|E]507 7964 TCCTGAGC N704 GCATAAGA E517,S517,[N|S|E]517 7945 CCCTCTAC N707 AAGGAGTA S507,[N|S|E]507 7945 CTCTCTAC N707 AAAGGAGT Unknown 7821 CTCTCTAC N707 AAGGAATA S507,[N|S|E]507 7779 GGACTCCC N705 TATCCTCT E503,S503,[N|S|E]503 7719 CTCTCTAC N707 CGACTAGT Unknown 7704 TCTGAGCA Unknown GCGTAAGA E517,S517,[N|S|E]517 7665 TAAGGCGA N701 CCTCTATT Unknown 7645 CTCCTACA Unknown TCGACTAG S513 7612 CTCTCTAC N707 CTTCTATT Unknown 7540 CTCTCTAC N707 AAGGAGGA S507,[N|S|E]507 7391 CTCTCTAC N707 TGACTAGT Unknown 7378 TCCTGAGC N704 GCTAAGAT Unknown 7331 CTCGCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 7323 GGACTCCT N705 AAGCTATT Unknown 7288 TCCTGAGC N704 CGTAAGAT Unknown 7249 CTATCTAC N707 AAGGAGTA S507,[N|S|E]507 7247 GGGCTCCT N705 AAGGCTAT S520 7231 CTCTCTAC N707 CTCTATTC Unknown 7200 TAAGGCGA N701 CTCCTATT Unknown 7191 CTCTCTAC N707 CTCCTATT Unknown 7109 TCCTGAGC N704 CCGTAAGA E517,S517,[N|S|E]517 7032 GGACTCCT N705 AATCCTCT E503,S503,[N|S|E]503 7013 CTCTCTAC N707 AAGGTATC Unknown 6989 TCCTGAGC N704 GCGTAAAT Unknown 6962 TCCTGAGC N704 GCGTAGAT Unknown 6932 TAAGGCGA N701 CTCTATTC Unknown 6905 CTCTCTAC N707 AAGGGAGT Unknown 6885 CTCTCTAC N707 ATCTCTAT E502,S502,[N|S|E]502 6875 CTCTCTAC N707 AAGGAGAT Unknown 6826 CTCTTACA Unknown TCGACTAG S513 6699 CTCTATAC N707 AAGGAGTA S507,[N|S|E]507 6682 GGACTCCT N705 TATCCTCC E503,S503,[N|S|E]503 6682 TAAGGCAA N701 CTCTCTAT E502,S502,[N|S|E]502 6590 CTCTCTAC N707 CCTCTATT Unknown 6533 TAATGCGA D708,N701,S522 CTCTCTAT E502,S502,[N|S|E]502 6491 GGACTCCT N705 AAGGCTTT S520 6466 CTCTCTAC N707 CTCTCATT D703 6451 CTCTCTAC N707 CTCTATAT E502,S502,[N|S|E]502 6442 TAAGGCGA N701 ATCTCTAT E502,S502,[N|S|E]502 6427 CACTCTAC N707 AAGGAGTA S507,[N|S|E]507 6395 CTCTCTAC N707 CACTCTAT E502,S502,[N|S|E]502 6380 TAAGGCGA N701 CTCTATAT E502,S502,[N|S|E]502 6258 GGACTCCT N705 AAGTCTAT S520 6243 CCTCTACA Unknown CTCTCTAT E502,S502,[N|S|E]502 6111 CTCTTTAC E505,N707,S505,[N|S|E]505 AAGGAGTA S507,[N|S|E]507 6040 TAAGGCGA N701 CACTCTAT E502,S502,[N|S|E]502 5961 GGACTCCT N705 TATCCTGT E503,S503,[N|S|E]503 5957 GGATCCTA Unknown AAGGCTAT S520 5949 CTCTCTCA Unknown TCGACTAG S513 5756 CTTTCTAC N707 AAGGAGTA S507,[N|S|E]507 5708 GGACTCCT N705 AAGGTATT Unknown 5669 CTCTCTAC N707 TCAACTAG S513 5607 CTCTCTCC N707 AAGGAGTA S507,[N|S|E]507 5598 TCCTGAGA D702,N704 GCGTAAGA E517,S517,[N|S|E]517 5572 TAAGGCGA N701 CTCTCTGT E502,S502,[N|S|E]502 5528 TAAGGCGA N701 CCCTCTAT D502,E502,S502,[N|S|E]502 5509 TAGGCGAA Unknown AAGGAGTA S507,[N|S|E]507 5496 CTCTCTAC N707 GTCTCTAT D502,E502,S502,[N|S|E]502 5448 TAAGGCGA N701 GTCTCTAT D502,E502,S502,[N|S|E]502 5431 GGACTCAT N705 AAGGCTAT S520 5365 GGACTCCA N705 TATCCTCT E503,S503,[N|S|E]503 5354 CTCTCTAC N707 CTCTCTGT E502,S502,[N|S|E]502 5343 GGACTCCT N705 CATCCTCT E503,S503,[N|S|E]503 5276 CTCTCTAC N707 TCTACTAG S513 5241 TAAGGCGA N701 CTCTCTAC N707 5233 GGACTCCT N705 TTTCCTCT E503,S503,[N|S|E]503 5212 CTCTCTAC N707 CAAGGAGT Unknown 5153 TCCTGAGC N704 GTAAGATC Unknown 5146 GGGGGGGG Unknown GGGGGCGG Unknown 5132 CTCTCTAC N707 AAGGCGTT Unknown 5073 CTCTCTAC N707 AAGTATCG Unknown 5052 GGACTCCT N705 TCCTCTTC Unknown 5043 CTCTCTAC N707 CTCTCTAC N707 5041 CTCCCTAC E505,N707,S505,[N|S|E]505 CTCTCTAT E502,S502,[N|S|E]502 5038 CTCTCTAC N707 TCGACTGT Unknown 4961 TGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 4959 GGACTCCT N705 TATCCTTC Unknown 4952 CTCTCTAC N707 GCGACTAG S513 4938 TAAGGCGA N701 AAGGAGTT S507,[N|S|E]507 4936 CTTCTACA Unknown TCGACTAG S513 4916 GGACTCCT N705 ACGGCTAT S520 4889 TCCTGAGC N704 GCGAAGAT Unknown 4876 TCCGAGCA Unknown GCGTAAGA E517,S517,[N|S|E]517 4874 CTCTCTAC N707 TTCTCTAT E502,S502,[N|S|E]502 4857 TAAGGCGA N701 AAGAGTAT Unknown 4830 CTCTCTAC N707 CTGTCTAT E502,S502,[N|S|E]502 4827 GGGGGGGG Unknown GGCGGGGG Unknown 4812 GGACCCTA Unknown AAGGCTAT S520 4777 CTCTCTAC N707 ACGTAAGA E517,S517,[N|S|E]517 4763 GGACTCCC N705 AAGGCTAT S520 4686 CTCTCTTA Unknown AAGGAGTA S507,[N|S|E]507 4684 GGACTCCT N705 TATCGTCT E503,S503,[N|S|E]503 4653 GGACTCCT N705 AAGGATAT S520 4578 GGAGTCCT N705 AAGGCTAT S520 4553 TCCTAGCA Unknown GCGTAAGA E517,S517,[N|S|E]517 4550 TAAGGCGA N701 CTGTCTAT E502,S502,[N|S|E]502 4549 TAAGGCGA N701 TTCTCTAT E502,S502,[N|S|E]502 4547 TCCGGAGC D702,N704 GCGTAAGA E517,S517,[N|S|E]517 4533 CTCTCTAA E502,N707,S502,[N|S|E]502 GCGTAAGA E517,S517,[N|S|E]517 4479 CGTACTAG N702 AGGCTATT D501 4459 GGACTCCT N705 AAGACTAT S520 4432 TAAGGGAA Unknown CTCTCTAT E502,S502,[N|S|E]502 4425 TAACGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 4413 GGCTCCTA Unknown AAGGCTAT S520 4393 CTCTCTAT E502,S502,[N|S|E]502 TCGACTAG S513 4386 GGCCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 4380 CTTCTCTA Unknown AAGGAGTA S507,[N|S|E]507 4366 TCCTGGCA Unknown GCGTAAGA E517,S517,[N|S|E]517 4357 GGACTCCT N705 TAACCTCT E503,S503,[N|S|E]503 4341 TCCTGAGC N704 GCTTAAGA E517,S517,[N|S|E]517 4323 GGACTCCT N705 TGTCCTCT A503,E503,S503,[N|S|E]503 4322 CTCTCTAC N707 AGAGTATC Unknown 4319 TCTCTACA Unknown GCGTAAGA E517,S517,[N|S|E]517 4309 TAAGGCGA N701 AATGAGTA S507,[N|S|E]507 4291 GGACTCCT N705 ATGGCTAT S520 4262 TCCTGAGC N704 GCGTAATA E517,N719,S517,[N|S|E]517 4234 GGACTCCT N705 TATCCCCT E503,S503,[N|S|E]503 4204 GGATTCCT N705 AAGGCTAT S520 4192 GGGGGGGG Unknown GGTGGGGG Unknown 4115 TAAGCGAA Unknown AAGGAGTA S507,[N|S|E]507 4041 CTCTCTAC N707 GCGTACGA E517,S517,[N|S|E]517 4022 TCCTGAGC N704 GCGTCAGA E517,S517,[N|S|E]517 4018 CAGAGAGG N708 TCGTAAGA E517,S517,[N|S|E]517 4003 CCTGAGCA Unknown GCGTAAGA E517,S517,[N|S|E]517 3997 TAAGGCGA N701 TCTATTCG Unknown 3950 TCCTGACA Unknown GCGTAAGA E517,S517,[N|S|E]517 3946 AAGGCGAA Unknown AAGGAGTA S507,[N|S|E]507 3923 TTCTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 3911 CTCTCTAC N707 AAGGATCG Unknown 3887 GGACTCCT N705 GAGGCTAT S520 3878 GGACTCCT N705 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 3806 GGACTCCT N705 AAAGCTAT S520 3771 CCTCTACA Unknown TCGACTAG S513 3762 CTCTTCTA Unknown AAGGAGTA S507,[N|S|E]507 3734 GGAATCCT N705 TATCCTCT E503,S503,[N|S|E]503 3728 CTCTCTAC N707 AAGGAAGT Unknown 3721 TCCTGAGC N704 GAGTAAGA E517,S517,[N|S|E]517 3696 CTCTCTAC N707 TCACTAGT Unknown 3651 CTCTCTAC N707 GCGTAAGT E517,S517,[N|S|E]517 3592 GGGGGGGG Unknown GGGCGGGG Unknown 3580 CTCTCTAC N707 AAGGCGTC Unknown 3563 CTCTCTAC N707 GCGTAAAT Unknown 3524 GTACTAGA Unknown AAGGCTAT S520 3511 TAAGGCGA N701 AAGTAGTA S507,[N|S|E]507 3509 CTCTCTAC N707 AAGGAATC Unknown 3494 TAAGGCAA N701 AAGGAGTA S507,[N|S|E]507 3461 CTCTCTAC N707 CGTAAGAT Unknown 3444 CTCTCTAC N707 CTCGCTAT E502,S502,[N|S|E]502 3443 GGACTCCT N705 AAGGCTGT S520 3442 CTCTCACA Unknown GCGTAAGA E517,S517,[N|S|E]517 3435 CTCTCAAC N707 AAGGAGTA S507,[N|S|E]507 3428 CTCTCTAC N707 CCGTAAGA E517,S517,[N|S|E]517 3425 CTCTCCTA Unknown AAGGAGTA S507,[N|S|E]507 3419 CTCTCTAC N707 CTCTCTAA E502,N707,S502,[N|S|E]502 3406 CTCTCTAC N707 ACGACTAG S513 3377 GGACTCCT N705 TATGCTCT E503,S503,[N|S|E]503 3350 CTCGCTAC N707 TCGACTAG S513 3334 CTCTCTAC N707 CTCACTAT E502,S502,[N|S|E]502 3333 GGACTCCT N705 TATCCTCG E503,S503,[N|S|E]503 3326 CTCTCTAC N707 TCTATTCG Unknown 3324 GGACTCCT N705 TACCCTCT E503,S503,[N|S|E]503 3323 CTCTCTCA Unknown GCGTAAGA E517,S517,[N|S|E]517 3321 GGACTCCT N705 AAGCCTTA S521 3320 TAAGGCGA N701 CTCACTAT E502,S502,[N|S|E]502 3313 TAAGGCTA N701,S521 CTCTCTAT E502,S502,[N|S|E]502 3296 CTCTCTAC N707 CTCTGTAT E502,S502,[N|S|E]502 3294 CTCTCTAC N707 AAGGAGCG Unknown 3290 TAAGGCGA N701 CTCTCTTC N707 3278 GGGGGGGG Unknown GGAGGGGG Unknown 3275 CTCTCTAC N707 TAGACTAG S513 3265 CCTCTCTT Unknown AAGGAGTA S507,[N|S|E]507 3228 AGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 3214 CTCTCTAC N707 CTCCCTAT E502,S502,[N|S|E]502 3195 CTCTCTAC N707 CTCTCCAT E502,S502,[N|S|E]502 3189 CTCTCTAC N707 TCGATAGT Unknown 3189 GGACTCCT N705 CCTCTTCG Unknown 3183 TCCTATCT Unknown TATCCTCT E503,S503,[N|S|E]503 3180 CTCCTACA Unknown GCGTAAGA E517,S517,[N|S|E]517 3148 CTCCTCTA Unknown AAGGAGTA S507,[N|S|E]507 3146 TAAGGCGA N701 CTCTGTAT E502,S502,[N|S|E]502 3144 CTCTCTAC N707 GCTAAGAT Unknown 3143 GGACTCCT N705 AAGGCATT Unknown 3098 TAAGGAGA N701 CTCTCTAT E502,S502,[N|S|E]502 3098 TAAGGCGA N701 CTCTCCAT E502,S502,[N|S|E]502 3096 TAAGGCGA N701 CTCTCTCT E502,S502,[N|S|E]502 3088 TAAGGCGA N701 CTCGCTAT E502,S502,[N|S|E]502 3082 CTCTCTAC N707 TCGACTAA S513 3079 TCCTGAGC N704 GCGTGAGA E517,S517,[N|S|E]517 3065 TCCTGAGC N704 GTGTAAGA E517,S517,[N|S|E]517 3043 TCCCGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 3023 CTCTCTGC N707 CTCTCTAT E502,S502,[N|S|E]502 3017 GGGGGGGG Unknown GGCCGCGG Unknown 3013 CTCACTAC N707 CTCTCTAT E502,S502,[N|S|E]502 3002 TAATGCGA D708,N701,S522 AAGGAGTA S507,[N|S|E]507 2995 CTCTCTAC N707 GCATAAGA E517,S517,[N|S|E]517 2984 TAAGGCGA N701 CTCCCTAT E502,S502,[N|S|E]502 2947 TAAGGCGA N701 CTCTCTAA E502,N707,S502,[N|S|E]502 2913 CTCTTACA Unknown GCGTAAGA E517,S517,[N|S|E]517 2912 CTCTCTAC N707 CTCTCTCT E502,S502,[N|S|E]502 2910 CTCTCTAC N707 AAGGAGGT Unknown 2849 TAAGGTGA N701 CTCTCTAT E502,S502,[N|S|E]502 2849 GGACTCCT N705 GAGCTTAT Unknown 2819 CTCTACAT Unknown CTCTCTAT E502,S502,[N|S|E]502 2808 GCGGGGGG Unknown GGGGGGGG Unknown 2796 CTCTCTAC N707 GAGTATCG Unknown 2789 GGACTCCT N705 TAGGCTAT S520 2736 CTCTATCT Unknown AAGGAGTA S507,[N|S|E]507 2727 CTCTCTAC N707 AAGTATTA Unknown 2720 GGACTCCT N705 GGCTATTC Unknown 2716 GTACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 2710 CTCTCTAC N707 GGTAAGAT Unknown 2682 GGACTTCT N705 TATCCTCT E503,S503,[N|S|E]503 2670 GGGGGGGG Unknown GGACGCGG Unknown 2666 CTCTCTAC N707 TCGCTAGT Unknown 2633 GGACTCCT N705 AAGGCTAC S520 2627 TAAGGCGA N701 AAGGATAT S520 2614 TCCTGAGC N704 GCGTAAGG E517,S517,[N|S|E]517 2606 CTCTCTTC N707 CTCTCTAT E502,S502,[N|S|E]502 2604 CTCTCTAC N707 GCGTAGAT Unknown 2603 TAGGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 2588 CTCTCTAC N707 TCGACTGG S513 2586 GGACTCCT N705 AACGCTAT S520 2580 GGACTCCT N705 AAGGCTAA S520 2574 CCCTCTTC Unknown AAGGAGTA S507,[N|S|E]507 2574 GGACTCTT N705 TATCCTCT E503,S503,[N|S|E]503 2562 TAAGGCGA N701 AAGGCGTA S507,[N|S|E]507 2534 GGACCTAT Unknown TATCCTCT E503,S503,[N|S|E]503 2533 CTCTCTAC N707 CTCTCTTC N707 2531 CTCTCTAC N707 AAAGTATC Unknown 2524 TAAGGCGA N701 ATGGAGTA S507,[N|S|E]507 2490 GGACTACT N705 TATCCTCT E503,S503,[N|S|E]503 2483 GGCCTCCT N705 AAGGCTAT S520 2468 TAAGGCGA N701 GAGGAGTA S507,[N|S|E]507 2435 GGGGGGGG Unknown GGCGGCGG Unknown 2434 GGACTCTA Unknown GAGCCTTA S521 2429 CTCTCCAC N707 CTCTCTAT E502,S502,[N|S|E]502 2426 GGACTCCT N705 AAGGCCAT S520 2422 TAAGGCGA N701 AAGGGTAT S520 2405 CTCTCATC Unknown AAGGAGTA S507,[N|S|E]507 2397 TCCTGCGC N704 GCGTAAGA E517,S517,[N|S|E]517 2381 TAAGGCGA N701 AAGGAGAA S507,[N|S|E]507 2361 CTTCTACA Unknown GCGTAAGA E517,S517,[N|S|E]517 2355 GGACTCCT N705 GAGCCTTT S521 2351 GGACTCCA N705 AAGGCTAT S520 2348 GGACTCCT N705 CAGGCTAT S520 2343 GGACTCCT N705 AGGGCTAT S520 2336 GGACTCCT N705 TATCTTCG Unknown 2333 GGACTCCT N705 TATCCGCT E503,S503,[N|S|E]503 2313 CCCTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 2269 CTCTCTAC N707 AGTATCGT Unknown 2263 CTCTCTAC N707 AAGGACGT D507 2253 TAAGGCGA N701 CGCTCTAT E502,S502,[N|S|E]502 2250 CTCTCCAT E502,S502,[N|S|E]502 AAGGAGTA S507,[N|S|E]507 2234 CTCTCTAC N707 GCGAAGAT Unknown 2223 GGACTCCT N705 CTCTTCGT Unknown 2221 GGACCCCT N705 TATCCTCT E503,S503,[N|S|E]503 2209 CTCTCTAC N707 CGCTCTAT E502,S502,[N|S|E]502 2195 GGACTCCT N705 TACTCTTC Unknown 2191 GGGGGGGG Unknown GGGCGCGG Unknown 2188 CTCTCTAC N707 AAGGTGTT Unknown 2169 CTCTCTAC N707 AAGGGGTG Unknown 2145 CTCTCTAC N707 GACTAGTC Unknown 2136 TAAGGCGA N701 GGAGTATC Unknown 2112 GGACTCCT N705 TATCATCA Unknown 2112 TAAGTCGA N701 CTCTCTAT E502,S502,[N|S|E]502 2109 GGACTCCT N705 GAGCCTAT Unknown 2105 CCTCTCTA Unknown CTCTCTAT E502,S502,[N|S|E]502 2102 TAAGGGAA Unknown AAGGAGTA S507,[N|S|E]507 2102 CTCTCTAC N707 GTAAGATC Unknown 2102 TAAGGCGA N701 ACGGAGTA S507,[N|S|E]507 2091 ATCTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 2088 CTCTCTAC N707 CTCTCTCG Unknown 2080 TGACTCCT N705 AAGGCTAT S520 2078 TAAGGCGA N701 AAGGAGTC S507,[N|S|E]507 2070 GGACTCGT N705 TATCCTCT E503,S503,[N|S|E]503 2058 CTCCCTAC E505,N707,S505,[N|S|E]505 TCGACTAG S513 2057 GGACTCCT N705 TATCCTCA E503,S503,[N|S|E]503 2051 CCCCCCCC Unknown CCCCCCCC Unknown 2044 GGTCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 2038 TCCTGAGC N704 GCGCAAGA E517,S517,[N|S|E]517 2036 TCCTGATC N704 GCGTAAGA E517,S517,[N|S|E]517 2023 TCCTGAGC N704 GCGTAGGA E517,N719,S517,[N|S|E]517 2020 GGGGGGGG Unknown GGGTGGGG Unknown 2018 CTCTACAT Unknown TCGACTAG S513 2007 TCCTGAGC N704 GCGTAAAA E517,S517,[N|S|E]517 1979 CTCTCTAC N707 TTGACTAG S513 1976 CTCTCTAC N707 GCGTCAGA E517,S517,[N|S|E]517 1975 TAACGCGA N701 AAGGAGTA S507,[N|S|E]507 1967 GACTCCTA Unknown GAGCCTTA S521 1960 GGACTCCT N705 AAGGCTCT S520 1944 TAAGGCGA N701 AAAGAGTA S507,[N|S|E]507 1936 GGAATCCT N705 AAGGCTAT S520 1925 GGACTCCT N705 TCTTCGTC Unknown 1922 CTCTCTAC N707 CCGACTAG S513 1917 CTCTCTAC N707 TCGCCTAG S513 1913 CTGAGCAT Unknown GCGTAAGA E517,S517,[N|S|E]517 1897 CTCTCTCC N707 CTCTCTAT E502,S502,[N|S|E]502 1880 TAAGGCGA N701 CTCTCTCG Unknown 1876 CTATCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 1868 CCTTCTTC Unknown AAGGAGTA S507,[N|S|E]507 1849 GGGGGGGG Unknown GGCAGCGG Unknown 1844 TAAGGCGC D708,N701,S521 CTCTCTAT E502,S502,[N|S|E]502 1840 CTCTCTAC N707 CTCTCGAT E502,S502,[N|S|E]502 1834 TACGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 1818 TAAGGCGG N701 CTCTCTAT E502,S502,[N|S|E]502 1815 TAAGGCGA N701 AAGGAGCA S507,[N|S|E]507 1814 TCCTGAGC N704 GCGTATGA E517,S517,[N|S|E]517 1807 CTCTCTAC N707 GCTTAAGA E517,S517,[N|S|E]517 1799 TAAGGCGA N701 CTCTCGAT E502,S502,[N|S|E]502 1798 GGACTCCT N705 AGCCTTAT Unknown 1797 TCCTGAGG N704 GCGTAAGA E517,S517,[N|S|E]517 1793 CGTACTAG N702 AAGCCTTA S521 1790 CTCTCTAC N707 TCGAATAG A505,S513 1759 TAAGGGGA N701 CTCTCTAT E502,S502,[N|S|E]502 1758 TCTACATC Unknown AAGGAGTA S507,[N|S|E]507 1751 GGACTATC Unknown TATCCTCT E503,S503,[N|S|E]503 1747 GGGGGGGG Unknown GGGAGGGG Unknown 1736 CTCTCTAC N707 TCCACTAG S513 1730 CTTTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 1725 CTCTCTAC N707 ATCGTCGG Unknown 1722 TAAGGCGA N701 TAGGAGTA S507,[N|S|E]507 1703 TGAGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 1693 GGACTCCT N705 TATCTTCT E503,S503,[N|S|E]503 1686 CTCTCTAC N707 CTCTATAA Unknown 1681 GGGGGGGG Unknown GGAAGCGG Unknown 1677 GGACTCCT N705 AAGGCGAT S520 1671 TCCCGAGG Unknown GCGTAAGA E517,S517,[N|S|E]517 1651 TATGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 1626 GGGGGGGG Unknown GGACGAGG Unknown 1626 GGACTCCT N705 TATTCTCT A503,E503,S503,[N|S|E]503 1622 GGGCTCCT N705 GAGCCTTA S521 1620 GGTCCTAT Unknown TATCCTCT E503,S503,[N|S|E]503 1619 GTCTCTAC N707 AAGGAGTA S507,[N|S|E]507 1619 TAAGGCGA N701 AAGGAGTG S507,[N|S|E]507 1613 GGACTCCT N705 TATCGTCA Unknown 1612 GGGGGGGG Unknown GGGGGAGG Unknown 1609 TAAGGCGA N701 AAGGTGTA S507,[N|S|E]507 1605 TAAAGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 1602 CTCTCTAT E502,S502,[N|S|E]502 GCGTAAGA E517,S517,[N|S|E]517 1594 TAAGGCGA N701 CTATTCGT Unknown 1590 CTCTCTAC N707 GCGTAATA E517,N719,S517,[N|S|E]517 1581 CTTTCTTC Unknown AAGGAGTA S507,[N|S|E]507 1581 GTACTAGA Unknown GAGCCTTA S521 1572 AGACTCCT N705 AAGGCTAT S520 1568 GGGGGGGG Unknown GGTCGCGG Unknown 1563 CTCTATAC N707 CTCTCTAT E502,S502,[N|S|E]502 1562 ACGAAATG Unknown AAGGAGTA S507,[N|S|E]507 1560 TCCTTAGC N704 GCGTAAGA E517,S517,[N|S|E]517 1559 TCCCAACT Unknown TATCCTCT E503,S503,[N|S|E]503 1557 CCTCTACA Unknown GCGTAAGA E517,S517,[N|S|E]517 1536 GGACTCCT N705 CAGCCTTA S521 1531 TAAGGCGA N701 CCTCTCTA Unknown 1527 TAAGGCGA N701 CTCTATAA Unknown 1522 TAAGGCGA N701 AAGGATTA S507,[N|S|E]507 1520 GGACTTCT N705 AAGGCTAT S520 1520 GGCTCCTA Unknown GAGCCTTA S521 1518 GGACTCCT N705 GATCCTTA S521 1516 CTCTCTAC N707 TCGACAGT Unknown 1514 TCCTATCT Unknown AAGGCTAT S520 1514 GGACTCCT N705 TATCATCC Unknown 1512 TTCTCTAC N707 TCGACTAG S513 1499 GGGGGGGG Unknown GGAGGCGG Unknown 1498 TAAGGAAT Unknown CTCTCTAT E502,S502,[N|S|E]502 1494 CTCTCTAC N707 AAGGTGTC Unknown 1491 GGGGGGCG Unknown GGGGGGGG Unknown 1482 TAAGGCGA N701 TATTCGTC Unknown 1479 CTCTCTAC N707 AAGGGGTT Unknown 1477 CGTACTAA N702 AAGGCTAT S520 1469 GGGCTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 1464 CTCTCTAC N707 CTATTCGT Unknown 1461 CTCGCTAC N707 GCGTAAGA E517,S517,[N|S|E]517 1456 TAAGGAGA N701 AAGGAGTA S507,[N|S|E]507 1456 TAAGGCGA N701 CTCTCTAG E502,N707,S502,[N|S|E]502 1436 CTCTCTAC N707 TCGAGTAG A505,S513 1425 GGGGGGGG Unknown TGGGGGGG Unknown 1413 GTACTCCT N705 AAGGCTAT S520 1413 TCCAGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 1409 CTCTCTAC N707 AATCGTCG Unknown 1407 CTCTTTAC E505,N707,S505,[N|S|E]505 CTCTCTAT E502,S502,[N|S|E]502 1403 GGATCCTA Unknown GAGCCTTA S521 1403 CTCTCTAC N707 TCGTCTAG S513 1401 CACTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 1384 CTGTCTAC N707 AAGGAGTA S507,[N|S|E]507 1380 CTCTCTAC N707 AAGGCGTG Unknown 1377 TAAAGGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 1369 GGGGGGGG Unknown GGAAGAGG Unknown 1368 TAAGGCGA N701 AGGGAGTA S507,[N|S|E]507 1362 GAACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 1358 CTCTCTAC N707 CGTCGGCA Unknown 1350 CCTCTCTA Unknown TCGACTAG S513 1343 GGGGGGGG Unknown GGCCGGGG Unknown 1342 TAAGGCGA N701 AAGCAGTA S507,[N|S|E]507 1339 CTCTCTAC N707 AATATCGT Unknown 1337 CGACTAGA Unknown AAGGCTAT S520 1332 CTCTGTAC N707 AAGGAGTA S507,[N|S|E]507 1327 TAAGGCTA N701,S521 AAGGAGTA S507,[N|S|E]507 1324 TCCTGAGC N704 GCGTAAGC E517,S517,[N|S|E]517 1323 TCATGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 1316 TCCTGAGC N704 GCGTAACA E517,S517,[N|S|E]517 1309 CTCTCTAC N707 AAGGGGTC Unknown 1303 GGGGGGGG Unknown GGGGGTGG Unknown 1301 CTCTCTAC N707 CCTCTCTA Unknown 1300 CGTACTAG N702 AATGCTAT S520 1300 CTCTCTGC N707 TCGACTAG S513 1299 CGTACTAT N702 AAGGCTAT S520 1297 ACGGGGGG Unknown GGGGGGGG Unknown 1290 CTCTCTTC N707 TCGACTAG S513 1287 GGACCCCT N705 AAGGCTAT S520 1285 ACGAAGTG Unknown AAGGAGTA S507,[N|S|E]507 1281 TAAAAGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 1276 CTCTCTAC N707 TCGACTCG S513 1268 TAAGGCGA N701 AACGAGTA S507,[N|S|E]507 1264 GGACTCTT N705 AAGGCTAT S520 1261 CTCTCTAC N707 GAGTAAGA E517,S517,[N|S|E]517 1259 CTCTCTAC N707 CTCTCTAG E502,N707,S502,[N|S|E]502 1254 CTCTCTAC N707 GTGTAAGA E517,S517,[N|S|E]517 1253 GGGGGGGG Unknown GGACGGGG Unknown 1247 GGACCTAT Unknown AAGGCTAT S520 1244 GGACTCCT N705 AAGGGCTA Unknown 1244 GGACTCCT N705 GAGCATTA S521 1236 ATCTCGTA Unknown AAGGAGTA S507,[N|S|E]507 1231 GGACTCCT N705 GCGCCTTA S521 1227 GGACTCCT N705 AAGGATAA Unknown 1220 GGGGGGGG Unknown GGCAGAGG Unknown 1213 TCCTAACT Unknown TATCCTCT E503,S503,[N|S|E]503 1206 TCCTGAGC N704 CGCGTAAG Unknown 1205 CTCACTAC N707 TCGACTAG S513 1201 CTCTCTAC N707 GGGGGGGG Unknown 1198 GGACTCCT N705 TCTCTTCG S511 1193 CCTCTCTC Unknown AAGGAGTA S507,[N|S|E]507 1191 GGACTCCT N705 TATCGTCG Unknown 1189 CTCTCTAC N707 TATCGTCG Unknown 1177 GGACTCAT N705 GAGCCTTA S521 1169 GGGGGGGG Unknown GGCCGAGG Unknown 1162 TAAGGCGA N701 AAGGGGTA S507,[N|S|E]507 1159 CTCTCTAC N707 TATTCGTC Unknown 1159 GGACTCCT N705 AAGCCTAT S520 1159 TCCTGAGC N704 GCGTAAAG Unknown 1158 GGGGGGGG Unknown GGTGGCGG Unknown 1157 CTCTCTAC N707 TCGGCTAG S513 1155 CTCTCTAC N707 CTCTTCGT Unknown 1151 TCCTGAGT N704 GCGTAAGA E517,S517,[N|S|E]517 1147 GGACTCCT N705 AAGGCTTC Unknown 1147 TAAGGCGA N701 CTCTGTAA Unknown 1145 CTCTCTAC N707 GCGTAGGA E517,N719,S517,[N|S|E]517 1142 CTCTCTAC N707 GTATCGTC Unknown 1139 TAAGGCGA N701 CAGGAGTA S507,[N|S|E]507 1138 TAAGACGA N701 CTCTCTAT E502,S502,[N|S|E]502 1138 CTCTCTAC N707 GTCGGCAG Unknown 1134 GGGCTACT Unknown TATCCTCT E503,S503,[N|S|E]503 1128 CTCTCTAG E502,N707,S502,[N|S|E]502 AAGGAGTA S507,[N|S|E]507 1127 CTCTCTAC N707 GCGTGAGA E517,S517,[N|S|E]517 1126 CTCTCTAC N707 CTCTGTAA Unknown 1125 GGACTCCT N705 TATCGTCC Unknown 1112 CTCTCTAC N707 CTCTTTCG Unknown 1112 TAAGGTGA N701 AAGGAGTA S507,[N|S|E]507 1111 CATGCTCA Unknown AAGGAGTA S507,[N|S|E]507 1107 CTCTCTAC N707 TCGACCAG S513 1106 TAGGGCGA N701 AAGGAGTA S507,[N|S|E]507 1101 CAAGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 1097 GGACTATC Unknown AAGGCTAT S520 1089 TCCTGAGC N704 GCGTAATC Unknown 1088 CCTCTCCT D503 AAGGAGTA S507,[N|S|E]507 1085 TTCTGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 1083 CCTCTTTC Unknown AAGGAGTA S507,[N|S|E]507 1081 GGACTCGT N705 AAGGCTAT S520 1080 GGGGGGTG Unknown GGGGGGGG Unknown 1072 CTCTCCAC N707 TCGACTAG S513 1068 CTCTCTAC N707 TCGTCGGC Unknown 1061 CGTACTAG N702 GAGCCTTT S521 1058 GGGGGGGG Unknown GGGAGCGG Unknown 1057 CTCTCTAC N707 GCGTAAGG E517,S517,[N|S|E]517 1055 CGTACTAG N702 ACGGCTAT S520 1054 TGGGGGGG Unknown GGGGGGGG Unknown 1054 GGACTCCT N705 CTATCCTC Unknown 1052 GGGACTCC Unknown TATCCTCT E503,S503,[N|S|E]503 1050 TAGCATGA Unknown TAGATCGC [N|S|E]501 1040 CTCTCTAC N707 AAGGGGGG Unknown 1036 TAAGGCGA N701 CTCTTCGT Unknown 1035 CGTACTAG N702 AAGGCTTT S520 1035 GGACTTCC Unknown TATCCTCT E503,S503,[N|S|E]503 1027 ACTAAATG Unknown AAGGAGTA S507,[N|S|E]507 1021 GGGGGGGG Unknown GGTCGGGG Unknown 1019 CTCTCTAC N707 ATATCGTC Unknown 1014 GGAGTCCT N705 GAGCCTTA S521 1013 TCCTGTGC N704 GCGTAAGA E517,S517,[N|S|E]517 1012 CTCTCTAC N707 AGGGTATC Unknown 1010 TAAGGCGA N701 AAGAAGTA S507,[N|S|E]507 1010 GGACTCCT N705 AAGGTTAT S520 1009 TAAGGCGA N701 CTTTCTAT E502,S502,[N|S|E]502 1007 TTCTCTAC N707 GCGTAAGA E517,S517,[N|S|E]517 1006 CTCTCTAC N707 AATGATTA Unknown 1001 GGACTCCT N705 TATTCTTC Unknown 1000 CGGGGGGG Unknown GGGGGGGG Unknown 997 GGACTCCT N705 CAAGGCTA Unknown 992 GGATTCCT N705 GAGCCTTA S521 992 GGGGGGGG Unknown GGTAGCGG Unknown 991 CTCTCTAC N707 AAGTCGTC Unknown 991 CTATCTCG Unknown AAGGAGTA S507,[N|S|E]507 991 TCCTGAAC N704 GCGTAAGA E517,S517,[N|S|E]517 990 CTCTCTAC N707 TGAGTATC Unknown 988 GGACTCCC N705 GAGCCTTA S521 982 CGTCTAGA Unknown AAGGCTAT S520 973 CTCTCTAC N707 AACGCGTA Unknown 972 CGTACTAG N702 AAGGTATT Unknown 972 CTCTCTAC N707 TCGACTTG S513 970 CTCTCTAC N707 AAGGTGTG Unknown 967 CTCTCTAC N707 ACGGCGTA Unknown 966 TAGGCATG N706 AAGCCTTA S521 966 CGTACTAG N702 GAGCCTAT Unknown 964 CGTACTAG N702 AGCCTTAT Unknown 952 GGGGGGGG Unknown GGGGTGGG Unknown 951 ATCTCTAC N707 TCGACTAG S513 947 GAGGGGGG Unknown GGGGGGGG Unknown 944 TAAGGCGA N701 CTCTCGTC Unknown 943 CTAAGGCG Unknown CTCTCTAT E502,S502,[N|S|E]502 943 TAGGCATG N706 GAGATCGC [N|S|E]501 941 CTCTCTAC N707 AAGGCTTA Unknown 941 CTCTCTAC N707 TCGACTAC S513 939 TCTTGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 938 TAAGGCGT N701 CTCTCTAT E502,S502,[N|S|E]502 937 GGACTCCT N705 TATCATCG Unknown 937 CTCTCTAC N707 AATTAGTA Unknown 933 TACGGCGA N701 AAGGAGTA S507,[N|S|E]507 932 GGGCGGGG Unknown GGGGGGGG Unknown 931 CCGGGGGG Unknown GGGGGGGG Unknown 927 TAAGGGGA N701 AAGGAGTA S507,[N|S|E]507 924 CTCTACAT Unknown GCGTAAGA E517,S517,[N|S|E]517 924 GGACTCCT N705 GGCCTTAT Unknown 924 CTCTCTAC N707 GCGCAAGA E517,S517,[N|S|E]517 923 CCCTGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 922 TAAGGCGA N701 AAGGAATA S507,[N|S|E]507 918 CTCTCTAC N707 CTCTATAC N707 913 TCCTGGGC N704 GCGTAAGA E517,S517,[N|S|E]517 913 CCCTCTAC N707 TCGACTAG S513 910 CTTCTCTA Unknown CTCTCTAT E502,S502,[N|S|E]502 909 CTCTCTAC N707 AGGGGGGG Unknown 906 GGACCCTA Unknown GAGCCTTA S521 904 GGACTCCT N705 TATCCACT E503,S503,[N|S|E]503 903 TAAGGCGA N701 CTCTGTAC N707 896 TCCTGCAT Unknown GCGTAAGA E517,S517,[N|S|E]517 895 CTCTCAAC N707 CTCTCTAT E502,S502,[N|S|E]502 893 TAAAGGGG Unknown AAGGAGTA S507,[N|S|E]507 892 CTCTCTTA Unknown CTCTCTAT E502,S502,[N|S|E]502 888 GGTCTCCT N705 AAGGCTAT S520 887 CTCCCTAC E505,N707,S505,[N|S|E]505 GCGTAAGA E517,S517,[N|S|E]517 886 GGACACCT N705 TATCCTCT E503,S503,[N|S|E]503 884 CTCTCTAC N707 CTCTCGTC Unknown 884 GGACTCCT N705 GAGCCTAA S521 876 GGGCACCT Unknown TATCCTCT E503,S503,[N|S|E]503 875 CTCTCTAC N707 CTTTCTAT E502,S502,[N|S|E]502 874 CTCTCTAC N707 CTCTGTAC N707 873 TAAGGCGA N701 AAGGACTA S507,[N|S|E]507 873 CGTACTAG N702 GAGCTTAT Unknown 872 CGTACTAG N702 AAGGATAT S520 872 TAAGGCGA N701 CCTATTCG Unknown 872 CGTACTAG N702 AAGTCTAT S520 868 CTCTATCT Unknown CTCTCTAT E502,S502,[N|S|E]502 868 CTCCACAT Unknown AAGGAGTA S507,[N|S|E]507 865 CGTACTAG N702 AAAGCTAT S520 858 GCTCCTAT Unknown TATCCTCT E503,S503,[N|S|E]503 857 TAAGGCGC D708,N701,S521 AAGGAGTA S507,[N|S|E]507 856 CTCTTTTC Unknown AAGGAGTA S507,[N|S|E]507 851 TCTCAACT Unknown TATCCTCT E503,S503,[N|S|E]503 849 TAAGGCCG Unknown CTCTCTAT E502,S502,[N|S|E]502 848 CTCTTCTA Unknown CTCTCTAT E502,S502,[N|S|E]502 848 GGACTCCT N705 GTGCCTTA A504,S521 845 TAGCATGA Unknown GAGCCTTA S521 843 CTCTCTAC N707 CTCTTTAT E502,S502,[N|S|E]502 841 TAAGGCGA N701 AAGGGAGT Unknown 840 CTCTCTGC N707 GCGTAAGA E517,S517,[N|S|E]517 840 CTCTCTAC N707 AACGTCGG Unknown 835 CTCTCTAC N707 AAGCGTCG Unknown 835 CACTCTAC N707 TCGACTAG S513 835 TAGGCATG N706 AGATCGCT Unknown 833 GGACCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 832 ACTAAATG Unknown CTCTCTAT E502,S502,[N|S|E]502 825 GGGATCCT Unknown TATCCTCT E503,S503,[N|S|E]503 813 CGTACTAG N702 CAGCCTTA S521 813 TAAAAGGG Unknown AAGGAGTA S507,[N|S|E]507 812 TAAGGCGA N701 CTCTCAAT E502,S502,[N|S|E]502 812 CTCTCTAC N707 ACGTAGTA N719 812 CTCTCTAC N707 AAGGCTAT S520 811 GGTCCTAT Unknown AAGGCTAT S520 811 CGTGCTAG N702 AAGGCTAT S520 810 GGGGGGGG Unknown GGCTGCGG Unknown 810 TAAGGCGA N701 CTCTATAC N707 808 CTCTCAAT E502,S502,[N|S|E]502 AAGGAGTA S507,[N|S|E]507 806 GGACTCCT N705 AAAGGCTA Unknown 801 TCCTGAGC N704 GCCTAAGA E517,S517,[N|S|E]517 801 CTCTATAC N707 TCGACTAG S513 799 GGACTCCT N705 AAGGCTAG S520 797 TAAGGCCA N701 CTCTCTAT E502,S502,[N|S|E]502 794 TAAGGCGA N701 AAGGAGGA S507,[N|S|E]507 789 CATACTAG N702 AAGGCTAT S520 788 TAAGTCGA N701 AAGGAGTA S507,[N|S|E]507 782 GGACTCCT N705 TTCGTCGG Unknown 777 GGGGGGGG Unknown GGTCGAGG Unknown 777 GGGGGGGG Unknown GGAGGAGG Unknown 774 TAAAGGCG Unknown CTCTCTAT E502,S502,[N|S|E]502 773 GGACTCCT N705 AAGGGTAT S520 772 TCCTGAGC N704 GCGTGAGG Unknown 771 CTCTCTAC N707 GCGGAGTA N719 769 TAGGCATG N706 AAGGAGTA S507,[N|S|E]507 768 CTCTCTAC N707 AAGGAGGG Unknown 768 CGTACTGA Unknown AAGGCTAT S520 767 CTCTCTAC N707 GCGTAAAA E517,S517,[N|S|E]517 767 TAAGGCGA N701 GATGGCAC Unknown 766 CTCTCTAC N707 CTCTCAAT E502,S502,[N|S|E]502 765 ACTAAGTG Unknown AAGGAGTA S507,[N|S|E]507 765 GGACTACT N705 AAGGCTAT S520 765 TAGGCATG N706 TGATCGCT Unknown 765 CGTACTAG N702 GATCCTTA S521 764 GCTCCTAT Unknown AAGGCTAT S520 764 GCGGGGGG Unknown GGCCGCGG Unknown 763 TCGGGGGG Unknown GGGGGGGG Unknown 758 TCCCTAGG Unknown GCGTAAGA E517,S517,[N|S|E]517 758 GGGGGGGG Unknown GGTAGAGG Unknown 756 CCTTTTTC Unknown AAGGAGTA S507,[N|S|E]507 755 TTAAGGCG Unknown CTCTCTAT E502,S502,[N|S|E]502 755 GGGGGGGG Unknown GGCAGGGG Unknown 753 CTCTCTAC N707 GCGTATGA E517,S517,[N|S|E]517 751 AAGGGGGG Unknown GGGGGGGG Unknown 748 TCCTGAGC N704 GCGAAAGA E517,S517,[N|S|E]517 746 GGGGTCCT Unknown TATCCTCT E503,S503,[N|S|E]503 745 TACTGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 741 CTCTCTAC N707 AAGTCGGC Unknown 740 GGGCAACT Unknown TATCCTCT E503,S503,[N|S|E]503 737 TAAGGCGA N701 CTCTTTAT E502,S502,[N|S|E]502 735 CTCTCGAC N707 AAGGAGTA S507,[N|S|E]507 728 GGGGGGGG Unknown CGGGGGGG Unknown 725 CTCCTCTA Unknown CTCTCTAT E502,S502,[N|S|E]502 725 GGGGGGGG Unknown GGGCGAGG Unknown 724 TGAGGCGA N701 AAGGAGTA S507,[N|S|E]507 722 CGTACTAG N702 ATGGCTAT S520 720 GGGCTCCC Unknown AAGGCTAT S520 716 CGTCTAGA Unknown GAGCCTTA S521 714 CTCTCTAC N707 AAGGTCGT Unknown 709 CTCTTTAC E505,N707,S505,[N|S|E]505 TCGACTAG S513 703 CTCTCTAC N707 AAATCGTC Unknown 700 GGCCTATC Unknown TATCCTCT E503,S503,[N|S|E]503 699 GGGGGGGG Unknown GGAAGGGG Unknown 697 CATGCTCA Unknown CTCTCTAT E502,S502,[N|S|E]502 696 CTCTCTAC N707 TCGACGAG S513 695 GCGGGGGG Unknown GGGGGCGG Unknown 694 TAAGGCAT Unknown CTCTCTAT E502,S502,[N|S|E]502 693 TAAAGCGA N701 AAGGAGTA S507,[N|S|E]507 692 TAAGGCGA N701 CTCTCCGT Unknown 692 TAGGCATG N706 TATATCGC [N|S|E]501 691 GGGGGGGG Unknown GGGAGAGG Unknown 690 CTCTCTAC N707 TCGATTAG A505 690 CTCTCTCC N707 TCGACTAG S513 689 GGGCTGCT Unknown TATCCTCT E503,S503,[N|S|E]503 688 GCGGGGGG Unknown GGCGGGGG Unknown 687 TAGGCATG N706 GAGCTTAT Unknown 687 GGGGGGGG Unknown GGCGGAGG Unknown 685 CTCTCATC Unknown CTCTCTAT E502,S502,[N|S|E]502 681 CTCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 681 CTAAGGCG Unknown AAGGAGTA S507,[N|S|E]507 680 CGCTCTAC N707 AAGGAGTA S507,[N|S|E]507 676 CGGACTCC Unknown AAGGCTAT S520 676 CGTACTAG N702 AAGCTATT Unknown 673 GGACTCCT N705 CTCTCTAT E502,S502,[N|S|E]502 672 GGACTCCT N705 GAGCCCTA S521 672 TAAGGGCG Unknown CTCTCTAT E502,S502,[N|S|E]502 672 CCTCTTTA Unknown AAGGAGTA S507,[N|S|E]507 671 CGGACTCC Unknown TATCCTCT E503,S503,[N|S|E]503 670 CTCTCTAC N707 GAGGGGGG Unknown 664 CTCTCTAC N707 CTCTGTAG Unknown 661 GGACTCCT N705 GAGCCTGA S521 661 TAAGGCGG N701 AAGGAGTA S507,[N|S|E]507 659 GGACTCCT N705 GAGCCTTC S521 659 ACGAAATG Unknown CTCTCTAT E502,S502,[N|S|E]502 657 ACTAAATG Unknown TATCCTCT E503,S503,[N|S|E]503 655 CTCACTAC N707 GCGTAAGA E517,S517,[N|S|E]517 655 GGTGGGGG Unknown GGGGGGGG Unknown 654 AGGGGGGG Unknown GGGGGGGG Unknown 653 CGTACTAG N702 GCGCCTTA S521 650 CTCTCTAC N707 GAGCCTTA S521 648 GTGGGGGG Unknown GGGGGGGG Unknown 647 CGTACAGA Unknown AAGGCTAT S520 646 TAGGCATG N706 TAATCGCT Unknown 646 GGGGCGGG Unknown GGGGGGGG Unknown 642 TCCCTGAG Unknown GCGTAAGA E517,S517,[N|S|E]517 642 GGCCTTCT Unknown TATCCTCT E503,S503,[N|S|E]503 639 GAACTCCT N705 AAGGCTAT S520 636 CTCACATC Unknown AAGGAGTA S507,[N|S|E]507 636 TATGGCGA N701 AAGGAGTA S507,[N|S|E]507 635 CTCTCTAC N707 TCGAATAT Unknown 635 TAGGCATG N706 GAGCCTTT S521 631 CGACTAGA Unknown GAGCCTTA S521 630 GGACTCCT N705 GAGCCTCA S521 627 GGACTCCT N705 AAGGATAC Unknown 625 TAAGGCGA N701 AAGGAGAT Unknown 624 CGTACTAG N702 GAGCATTA S521 619 CTCTCTAC N707 AGGAGTAC Unknown 618 TCCTGAGC N704 GCGTCAGT Unknown 618 GGACTCCT N705 TAATCCTC Unknown 618 CTCTCTAC N707 AGGAGTTC Unknown 617 CTCTCTAC N707 CTCTATAG Unknown 617 CTCTCTCT E502,S502,[N|S|E]502 AAGGAGTA S507,[N|S|E]507 617 GGGGGGGG Unknown GGGTGCGG Unknown 615 TCCTGAGC N704 TCGTACGA Unknown 615 CTCTCACC Unknown AAGGAGTA S507,[N|S|E]507 614 GTCTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 614 CGTACTAG N702 GAGGCTAT S520 612 CTCTCTAC N707 ACGTCGGC Unknown 610 CTCTCTAC N707 AGGATATC Unknown 609 GGACTCCT N705 GAACCTTA S521 607 GGACTGCT N705 TATCCTCT E503,S503,[N|S|E]503 606 CTCTCCTA Unknown CTCTCTAT E502,S502,[N|S|E]502 605 TAAGGCGA N701 CTCTGTAG Unknown 605 CCTTCTTA Unknown AAGGAGTA S507,[N|S|E]507 604 CGTACTAG N702 AAGACTAT S520 603 GGACTCCT N705 GACCTTAT Unknown 602 TCCCAACT Unknown AAGGCTAT S520 599 GGACTCCT N705 AAGGAGTA S507,[N|S|E]507 599 CTCTCTAC N707 CCTATTCG Unknown 598 TAGGCATG N706 GAGCCTAT Unknown 598 CTCTCTAC N707 AAGGGGGA Unknown 596 CTCTCTAC N707 GCGTAAGC E517,S517,[N|S|E]517 596 CCTCTCTT Unknown CTCTCTAT E502,S502,[N|S|E]502 595 CTCTCTAC N707 TGGACTAG S513 595 TAGGCATG N706 TAGATCAC [N|S|E]501 594 CGTACTAG N702 AAGGCTGT S520 594 CTCCTAAT Unknown AAGGAGTA S507,[N|S|E]507 593 TCCTAAGC N704 GCGTAAGA E517,S517,[N|S|E]517 593 CTTTCTAC N707 TCGACTAG S513 592 TAGGCATG N706 TAGTCGCT Unknown 591 GGGGGGGG Unknown GGCTGGGG Unknown 591 CCCCCTTC Unknown AAGGAGTA S507,[N|S|E]507 590 TCCTGAGC N704 GCGGAAGA E517,S517,[N|S|E]517 588 CGTCCTAG N702 AAGGCTAT S520 585 CCTACATC Unknown AAGGAGTA S507,[N|S|E]507 581 CTCTCTTC N707 GCGTAAGA E517,S517,[N|S|E]517 581 TAAGGCGA N701 AAGGCGTT Unknown 579 TAGCGAAT Unknown CTCTCTAT E502,S502,[N|S|E]502 578 TTAGGCGA N701,S522 CTCTCTAT E502,S502,[N|S|E]502 577 GGAGGGGG Unknown GGGGGGGG Unknown 576 CCTCCTTC Unknown AAGGAGTA S507,[N|S|E]507 576 GGGGGGGG Unknown GGTAGGGG Unknown 576 TAAGGCGA N701 CTCATTCG Unknown 576 CTCTCTAC N707 AAGGACGG Unknown 576 GCACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 574 GGGGTGGG Unknown GGGGGGGG Unknown 574 CCTCTTTT Unknown AAGGAGTA S507,[N|S|E]507 574 GGGGGGGG Unknown GGATGCGG Unknown 572 GGACTCCA N705 GAGCCTTA S521 572 TCCTGCGC N704 TCGTAAGA E517,S517,[N|S|E]517 572 CTCTCTAC N707 AAGGAGGC Unknown 568 CGTACTAG N702 GGCCTTAT Unknown 566 TAAGCCGA N701 CTCTCTAT E502,S502,[N|S|E]502 564 CTCTCTAC N707 TCGAATAA S522 564 ACCTGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 561 CGTATAGA Unknown AAGGCTAT S520 560 TAAGGCGA N701 CTCTATAG Unknown 558 TCCTGAGC N704 TCTTAAGA Unknown 555 TAGGGGGG Unknown GGGGGGGG Unknown 551 CTCTCTAC N707 TTTTTTTT Unknown 551 CGTACTAA N702 GAGCCTTA S521 548 GGGGACCT Unknown TATCCTCT E503,S503,[N|S|E]503 546 CTCCCTTC Unknown AAGGAGTA S507,[N|S|E]507 545 CTCTCTAC N707 TCGAGTAA Unknown 544 CGTACTAG N702 AACGCTAT S520 543 CTATCTAC N707 TCGACTAG S513 543 CTCTCTAC N707 TCGAGTAT Unknown 543 TTAAAGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 543 GGGGGGGG Unknown GGTGGAGG Unknown 542 CTCTCTAC N707 AAGGCGAA Unknown 542 CGTACTAG N702 AAGGCTAA S520 541 ACGGGGGG Unknown GGCAGCGG Unknown 537 TAGGCATG N706 TAGATCTC [N|S|E]501 537 AGGCATGA Unknown GAGCCTTA S521 535 GGACTTAT Unknown TATCCTCT E503,S503,[N|S|E]503 534 TGACTCCT N705 GAGCCTTA S521 534 TAGGCAGA Unknown TAGATCGC [N|S|E]501 533 TAAGGCGA N701 CTTATTCG Unknown 531 CCCTTTTC Unknown AAGGAGTA S507,[N|S|E]507 530 AAAAAATA Unknown CTCTCTAT E502,S502,[N|S|E]502 528 GCGGGGGG Unknown GGCAGCGG Unknown 526 AATAAATA Unknown CTCTCTAT E502,S502,[N|S|E]502 525 TCCTGAAT Unknown GCGTAAGA E517,S517,[N|S|E]517 525 CGTGCTAG N702 GAGCCTTA S521 522 AAGAAGTG Unknown AAGGAGTA S507,[N|S|E]507 521 TAGGCATC N706 TAGATCGC [N|S|E]501 520 CTCTCCCC Unknown AAGGAGTA S507,[N|S|E]507 520 TAAGGCGA N701 CAAGGAGT Unknown 520 CTCTCTAC N707 CGCGTAAG Unknown 519 CGCACTAG N702 AAGGCTAT S520 518 TAAGGCGA N701 CTTCGTCG Unknown 518 CCTCTCTA Unknown GCGTAAGA E517,S517,[N|S|E]517 517 CTCTCTAC N707 GAGGAGGA Unknown 514 GGACTCCG N705 TATCCTCT E503,S503,[N|S|E]503 514 GGACTCCT N705 TACTTCGT Unknown 514 CTCTCTAC N707 CTCTCCTA Unknown 513 TATGCATG N706 TAGATCGC [N|S|E]501 511 CTCTCTAC N707 CTCTCCGT Unknown 510 CTCTTAAT Unknown AAGGAGTA S507,[N|S|E]507 510 GCGGGGGG Unknown GGACGCGG Unknown 510 GGCGGGGG Unknown GGGGGGGG Unknown 510 AAAAAAGA Unknown CTCTCTAT E502,S502,[N|S|E]502 508 TAGGCTGA Unknown TAGATCGC [N|S|E]501 506 CGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 506 CTCTCTAC N707 GCGTAACA E517,S517,[N|S|E]517 505 TAAGGCGA N701 CGTCGGCA Unknown 503 CTCTCTAC N707 CTCGACTA Unknown 502 GGGCACCT Unknown AAGGCTAT S520 502 GGGGGGCG Unknown GGCCGCGG Unknown 501 CGTACTAG N702 CAGGCTAT S520 500 GGACTCCT N705 GAGACTTA S521 499 CAAGGCGA N701 AAGGAGTA S507,[N|S|E]507 499 GGACTCCT N705 GCTCCTCT Unknown 498 TCCTGAGC N704 GGCGTAAG Unknown 496 CTTCCTTC Unknown AAGGAGTA S507,[N|S|E]507 495 TACGGCGC Unknown CTCTCTAT E502,S502,[N|S|E]502 493 CTCTCTTA Unknown TCGACTAG S513 493 TAAGGCGA N701 CTTTCGTC Unknown 493 TCCTGAGC N704 GCGTGAGC Unknown 492 GGACTCCT N705 GAGTCTTA A504,S521 492 TAGGCATG N706 AGCCTTAT Unknown 492 TAAGGAAT Unknown AAGGAGTA S507,[N|S|E]507 492 CTCTCTAC N707 GCGTAAAG Unknown 490 GGACTCCT N705 TTATCCTC Unknown 487 CGTACTAG N702 AAGGCCAT S520 486 GGACTCCT N705 TATTTCGT Unknown 486 TCCTGAGC N704 GCGTGAGT Unknown 485 TCCTGAGC N704 GCGTATCG Unknown 484 TAGGCATG N706 TAGAACGC [N|S|E]501 484 CTCTCTAC N707 CTTCGTCG Unknown 484 TAAGGATC S521 CTCTCTAT E502,S502,[N|S|E]502 483 TCCTATCT Unknown GAGCCTTA S521 483 GGATCTCG Unknown TATCCTCT E503,S503,[N|S|E]503 483 TTTAAGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 482 CTCTCTAC N707 CTCTTCTA Unknown 481 AAAGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 480 GGGCGGCG Unknown GGGGGGGG Unknown 480 GGGGGGGG Unknown GGGGGGTG Unknown 479 CTACATCT Unknown AAGGAGTA S507,[N|S|E]507 478 TAAGGCGA N701 CTCTTTCG Unknown 476 GGCGAATC Unknown CTCTCTAT E502,S502,[N|S|E]502 472 TAGGCAGA Unknown GAGCCTTA S521 471 TTAAGGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 471 GCGGGGGG Unknown GGAGGGGG Unknown 471 CGTTCTAG A506,N702 AAGGCTAT S520 471 TAGGCATG N706 GATCCTTA S521 470 CGTATAGA Unknown GAGCCTTA S521 470 CTCCTCAT Unknown AAGGAGTA S507,[N|S|E]507 470 GGACTCCT N705 TATCCCTC Unknown 468 GGGGGGGG Unknown GGCCGCGC Unknown 467 ACGGGGGG Unknown GGAAGCGG Unknown 467 GGACTCCT N705 GACCCTTA S521 465 GGCCTCCT N705 GAGCCTTA S521 463 TCTCGAGG Unknown GCGTAAGA E517,S517,[N|S|E]517 462 CGTACTAG N702 GACCTTAT Unknown 461 CGTACTAG N702 GTGCCTTA A504,S521 461 CGTACTAG N702 AGGGCTAT S520 459 TCCTGAGC N704 GCGAGATC Unknown 458 GGACTCCT N705 GAGCGTTA S521 458 GGGGGGCG Unknown GGACGCGG Unknown 457 GGACTCCT N705 TATTCGTC Unknown 455 TAAGGCGA N701 GTCGGCAG Unknown 455 GCGGGGGG Unknown GGCGGCGG Unknown 454 TATGCATG N706 GAGCCTTA S521 452 TATAAGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 452 TAGGCATG N706 CAGCCTTA S521 451 CGTACTAG N702 AAGGCTAC S520 450 GGGGGGGG Unknown GGATGAGG Unknown 449 GGACTCCT N705 AAGGCAAT S520 448 CTCTCTAC N707 CAGGCGTA Unknown 448 TAGGCATG N706 TAGATGCT Unknown 447 TTCTCTGC Unknown AAGGAGTA S507,[N|S|E]507 447 GGGGGGGG Unknown GGCTGAGG Unknown 446 TAAGGCGT N701 AAGGAGTA S507,[N|S|E]507 445 TAGGCATG N706 TAGATCGT [N|S|E]501 445 CTCATCTC Unknown AAGGAGTA S507,[N|S|E]507 445 GGGCTACT Unknown AAGGCTAT S520 445 AGAGAGGA Unknown GCGTAAGA E517,S517,[N|S|E]517 442 CATCTCGT Unknown AAGGAGTA S507,[N|S|E]507 442 TCCTACAT Unknown AAGGAGTA S507,[N|S|E]507 442 CTCTCTAC N707 CTCTCTTA Unknown 441 CTCTCCAC N707 GCGTAAGA E517,S517,[N|S|E]517 440 CATACTAG N702 GAGCCTTA S521 440 CTCTCTAC N707 ACGGAGTG Unknown 438 TCCTAACT Unknown AAGGCTAT S520 438 GGAATCCT N705 GAGCCTTA S521 433 GGGCCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 432 GGGAGGGG Unknown GGGGGGGG Unknown 432 CTCTCTAC N707 TCGACCTA A508 431 ACGAAATG Unknown TATCCTCT E503,S503,[N|S|E]503 427 TCCCAATT Unknown TATCCTCT E503,S503,[N|S|E]503 427 TAGGCATC N706 GAGCCTTA S521 426 TAGGCATG N706 TAGATCCT Unknown 426 CGTACTAG N702 TAGGCTAT S520 426 GGGGTCCT Unknown AAGGCTAT S520 425 CTCTCTCC N707 AAGGCGTA S507,[N|S|E]507 424 CTCCTCTA Unknown TCGACTAG S513 424 CTCTCTAC N707 AAGAGTTC Unknown 423 TAGGCATA N706 TAGATCGC [N|S|E]501 423 CTTCTCTA Unknown TCGACTAG S513 423 CGTACTTG N702 AAGGCTAT S520 423 AGGCATGA Unknown TAGATCGC [N|S|E]501 423 CGTACTAT N702 GAGCCTTA S521 423 GCGGGGGG Unknown GGAAGCGG Unknown 421 CGTAATAG N702,S518 AAGGCTAT S520 421 TAAGGCGA N701 AAAGGAGT Unknown 421 CTCTCTAC N707 AAGATCGT Unknown 421 TCCTCAGC N704 GCGTAAGA E517,S517,[N|S|E]517 420 TAAGGCGA N701 TCGTCGGC Unknown 420 GGACTCCT N705 GAGCCGTA S521 419 GGGCAGCT Unknown TATCCTCT E503,S503,[N|S|E]503 418 CTCTTCAT Unknown AAGGAGTA S507,[N|S|E]507 418 GGACTCCT N705 CGTCGGCA Unknown 418 GTCCTATC Unknown TATCCTCT E503,S503,[N|S|E]503 417 CCCTCTAC N707 GCGTAAGA E517,S517,[N|S|E]517 417 CTCTCTAC N707 AGGGGGTG Unknown 417 TGAGCATC Unknown GCGTAAGA E517,S517,[N|S|E]517 417 GCGGGGGG Unknown GGGCGGGG Unknown 416 CTTTACAT Unknown AAGGAGTA S507,[N|S|E]507 415 CTCTCTAC N707 ACGGAGGA Unknown 413 GGGGGGGG Unknown GTGGGGGG Unknown 412 CTCTCCTC Unknown AAGGAGTA S507,[N|S|E]507 409 CTCTCTAC N707 GATGGCAC Unknown 409 AAGAAGTA S507,[N|S|E]507 AAGGAGTA S507,[N|S|E]507 408 TCCTTGAG Unknown GCGTAAGA E517,S517,[N|S|E]517 408 GGCGAATC Unknown AAGGAGTA S507,[N|S|E]507 407 GGACTCCT N705 AAGGATAG Unknown 406 CTCTCTAC N707 AATTATTA Unknown 404 CTCTCTAC N707 GCGGGGGG Unknown 402 CTCTCTAC N707 CTCCGTCG Unknown 402 GGGGGGGG Unknown GGATGGGG Unknown 400 GGGTGGGG Unknown GGGGGGGG Unknown 400 GGGGGGGG Unknown GGGGGGGC Unknown 400 GGACTTCT N705 GAGCCTTA S521 397 CTCTCTAC N707 AAGAGTAC Unknown 397 AGGCGAAT D505 CTCTCTAT E502,S502,[N|S|E]502 394 ACGGGGGG Unknown GGAAGAGG Unknown 393 TCGAGCAT Unknown GCGTAAGA E517,S517,[N|S|E]517 393 TCCTGACC N704 GCGTAAGA E517,S517,[N|S|E]517 392 TAGGCTGA Unknown GAGCCTTA S521 392 CTCTCCCA Unknown AAGGAGTA S507,[N|S|E]507 392 TAGGCATG N706 GAGCATTA S521 391 GGGGGGGG Unknown GGGTGAGG Unknown 391 CGTACTGA Unknown GAGCCTTA S521 390 TAAGGCGA N701 TTCGTCGG Unknown 388 CGTCCTAG N702 GAGCCTTA S521 388 GGACACCT N705 AAGGCTAT S520 387 CTCTCTAC N707 TACTAGTC Unknown 387 ACGGGGGG Unknown GGAGGGGG Unknown 387 CTCTACAC Unknown AAGGAGTA S507,[N|S|E]507 386 CTCCCTCC Unknown AAGGAGTA S507,[N|S|E]507 386 CTCCTGAG Unknown GCGTAAGA E517,S517,[N|S|E]517 386 CTTTTTTC Unknown AAGGAGTA S507,[N|S|E]507 385 CCGAAATG Unknown AAGGAGTA S507,[N|S|E]507 385 CTTCACAT Unknown AAGGAGTA S507,[N|S|E]507 385 TCCCTACT Unknown TATCCTCT E503,S503,[N|S|E]503 384 CTCTCTAC N707 AAGGCGGC Unknown 384 GGGGAGGG Unknown GGGGGGGG Unknown 384 ACGAAGTG Unknown CTCTCTAT E502,S502,[N|S|E]502 384 CGTACTAG N702 AAGGCGAT S520 383 TAGGCATG N706 GCGCCTTA S521 382 TCCTGAGC N704 TCGTCAGA Unknown 382 TAAAGGCG Unknown AAGGAGTA S507,[N|S|E]507 382 CTCTCTAC N707 CACGAGTA Unknown 381 GGGGGGGG Unknown GCGGGGGG Unknown 381 TAAGGCGA N701 CTCTTCGG Unknown 381 CGTACTAG N702 GAGCCCTA S521 380 TAGGCATG N706 GGCCTTAT Unknown 377 ACGAAATG Unknown GCGTAAGA E517,S517,[N|S|E]517 377 TAAGGCCA N701 AAGGAGTA S507,[N|S|E]507 376 CTCTCTAC N707 CTTCTCTA Unknown 375 AGACTCCT N705 GAGCCTTA S521 374 TAAGGCGA N701 AAGGCGTC Unknown 373 TTAAAGGG Unknown AAGGAGTA S507,[N|S|E]507 372 GGGATCCT Unknown AAGGCTAT S520 372 AAGGAGTA S507,[N|S|E]507 AAGGAGTA S507,[N|S|E]507 371 TAGGCATG N706 AAGATCGC [N|S|E]501 371 CGTACTAG N702 GAGCCTAA S521 370 AGGCGAAA D505 CTCTCTAT E502,S502,[N|S|E]502 370 TAAGGCCG Unknown AAGGAGTA S507,[N|S|E]507 370 CTCTCTAC N707 CTCGTCGG Unknown 370 GGACTCCT N705 GCTATTCG Unknown 368 TAAGACGA N701 AAGGAGTA S507,[N|S|E]507 367 GGACTACT N705 GAGCCTTA S521 367 GGGGGGGG Unknown GGGGGGCG Unknown 367 CCCCTTTC Unknown AAGGAGTA S507,[N|S|E]507 366 CGTACTAG N702 GAGCCTTC S521 366 TGTACTAG A506,N702 AAGGCTAT S520 366 TACGAATC Unknown CTCTCTAT E502,S502,[N|S|E]502 365 TAAGCCGA N701 AAGGAGTA S507,[N|S|E]507 364 TCTCTACT Unknown TATCCTCT E503,S503,[N|S|E]503 364 CCCCTCTC Unknown AAGGAGTA S507,[N|S|E]507 364 CTCTCTAC N707 GGGGAGTA Unknown 363 TAAGGGCG Unknown AAGGAGTA S507,[N|S|E]507 361 GGCCTTCT Unknown AAGGCTAT S520 361 CGTACTAG N702 GGCTATTC Unknown 359 CGTACTAG N702 GAGCCTCA S521 359 ACGGGGGG Unknown GGCGGGGG Unknown 358 CCCCTCTT Unknown AAGGAGTA S507,[N|S|E]507 358 GGCCTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 357 CTCTCTAC N707 ACGTAGGA Unknown 357 TCCTGAGC N704 TGTAAGAT Unknown 356 ACGGGGGG Unknown GGGAGGGG Unknown 356 CTCTCTAC N707 CTCTCGGC Unknown 356 CTCTCTAC N707 CATTCGTC Unknown 355 TCTTACAT Unknown AAGGAGTA S507,[N|S|E]507 355 CTCTCTAC N707 AAGGTCGG Unknown 354 AAGAAATA Unknown AAGGAGTA S507,[N|S|E]507 354 TCTCTAAT Unknown AAGGAGTA S507,[N|S|E]507 353 GGGGGCGG Unknown GGGGGGGG Unknown 353 TCCCATCT Unknown TATCCTCT E503,S503,[N|S|E]503 352 TCCTGAGC N704 TCGTAAGT Unknown 350 GGACTCCT N705 GAGCCTTG S521 350 AAGAAATA Unknown CTCTCTAT E502,S502,[N|S|E]502 349 TAGGCATA N706 GAGCCTTA S521 349 CTTTCTTC Unknown CTCTCTAT E502,S502,[N|S|E]502 349 GGACTCCT N705 AGCTATTC Unknown 349 ACTAAGTG Unknown CTCTCTAT E502,S502,[N|S|E]502 349 TCTCAATT Unknown TATCCTCT E503,S503,[N|S|E]503 348 CGTACTAG N702 AAGGGCTA Unknown 347 TCCCACCT Unknown TATCCTCT E503,S503,[N|S|E]503 347 CTCTGTAC N707 CTCTCTAT E502,S502,[N|S|E]502 346 TGGCATGA Unknown GAGCCTTA S521 345 CTCTCTAC N707 CGGCAGCG Unknown 345 GGGGGGGG Unknown CGCCGCGG Unknown 345 TAAGGCGA N701 CTCCTCTA Unknown 344 AAGAAATG Unknown AAGGAGTA S507,[N|S|E]507 344 TAAGGCGA N701 AACAAATG Unknown 344 CTCTCTAC N707 GCGAAAGA E517,S517,[N|S|E]517 343 TCCTGAGC N704 ACGTAATA Unknown 343 GGGCAACT Unknown AAGGCTAT S520 343 ACGAAATA Unknown AAGGAGTA S507,[N|S|E]507 342 CGTACTGG N702 AAGGCTAT S520 341 GGGGGGCG Unknown GGGGGCGG Unknown 340 TCCTGAGC N704 GGGTAAGA E517,S517,[N|S|E]517 340 GGACTCCT N705 TTTCGTCG Unknown 339 GGGGGGGG Unknown GGTTGGGG Unknown 338 TAGTCATG N706 TAGATCGC [N|S|E]501 337 TAGGCATG N706 TAGCTCGC [N|S|E]501 336 TAAAGGGA Unknown CTCTCTAT E502,S502,[N|S|E]502 336 CCCCTCTA Unknown AAGGAGTA S507,[N|S|E]507 336 CTCTCTAC N707 CTTATTCG Unknown 335 TCCAGCAT Unknown GCGTAAGA E517,S517,[N|S|E]517 334 TAAGGCGA N701 CTCTTCTA Unknown 334 CTCTCTAC N707 AATGAGTT Unknown 334 TAGGCATG N706 TCGATCGC [N|S|E]501 333 CTCTCTAC N707 AAGGATTT Unknown 333 TCTCACAT Unknown AAGGAGTA S507,[N|S|E]507 332 TAGGCATG N706 TAGACGCT Unknown 332 CTCTCTAC N707 AATGCGTA Unknown 332 GGGGACCT Unknown AAGGCTAT S520 331 CTCTCTAC N707 AAGGCTTT S520 331 CTCTCTAC N707 GCCTAAGA E517,S517,[N|S|E]517 331 ACTCCTAT Unknown TATCCTCT E503,S503,[N|S|E]503 331 CTCTCTAC N707 TCGAGTAC Unknown 330 CGTACAGA Unknown GAGCCTTA S521 330 TACGCATG N706 TAGATCGC [N|S|E]501 329 CTCTCTAC N707 GGGGGGTG Unknown 329 CTCTCTGC N707 AAGCAGTA S507,[N|S|E]507 329 TCCTGAGC N704 GCGTCAGC Unknown 328 CTCTCTAC N707 GAGGAGTG Unknown 328 CTCTCTAC N707 TAGTCGTC Unknown 327 GGGACTCC Unknown AAGGCTAT S520 327 TACGGCGC Unknown AAGGAGTA S507,[N|S|E]507 327 TAAGGGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 327 TTAAGGGG Unknown AAGGAGTA S507,[N|S|E]507 327 CTCTCTAC N707 GCGTAGTA N719 327 GGGGGGGG Unknown CGCGGGGG Unknown 327 CTCTCTAC N707 CCCATATG Unknown 326 GGACTGCT N705 AAGGCTAT S520 326 ATCTCTAC N707 GCGTAAGA E517,S517,[N|S|E]517 325 GGACTCCT N705 GGGCCTTA S521 325 CGTTCTAG A506,N702 GAGCCTTA S521 325 GGGGGGCG Unknown GGCGGGGG Unknown 325 CTCTTTAC E505,N707,S505,[N|S|E]505 GCGTAAGA E517,S517,[N|S|E]517 324 CTGTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 323 TAGTCATG N706 GAGCCTTA S521 323 TGGCGAAT Unknown CTCTCTAT E502,S502,[N|S|E]502 323 CTTCTTTC Unknown AAGGAGTA S507,[N|S|E]507 323 CCCTCTTA Unknown AAGGAGTA S507,[N|S|E]507 322 CTTCCTTA Unknown AAGGAGTA S507,[N|S|E]507 321 CTCTCTAC N707 GCGTGAGG Unknown 321 GGGCTGCG Unknown GGGGGGGG Unknown 321 ACGGGGGG Unknown GGCAGAGG Unknown 319 GTACTCCT N705 GAGCCTTA S521 319 CTCTCTAC N707 CTCCTCTA Unknown 318 AAGGGGGG Unknown GGAAGCGG Unknown 318 CTCTATCT Unknown TCGACTAG S513 317 CCTTTTTA Unknown AAGGAGTA S507,[N|S|E]507 317 GGGGGGGG Unknown GGCCGTGG Unknown 317 GGACTCCT N705 TTCTTCGT Unknown 316 CAGGGGGG Unknown GGGGGGGG Unknown 316 ACGGGGGG Unknown GGCCGCGG Unknown 316 CTCCATCT Unknown AAGGAGTA S507,[N|S|E]507 315 GGACTTCC Unknown AAGGCTAT S520 314 GGACTCCT N705 AAGGGTAA Unknown 314 CGTACTAG N702 GAGCCTGA S521 314 AATAAAGA Unknown CTCTCTAT E502,S502,[N|S|E]502 314 TAAGGCGA N701 CTCTCCTA Unknown 314 CTCTCTAC N707 TCGCCTAT Unknown 313 CTCTCTAC N707 GCGGAAGA E517,S517,[N|S|E]517 313 TTAGGCGA N701,S522 AAGGAGTA S507,[N|S|E]507 312 AAGGGGGG Unknown GGAAGAGG Unknown 311 CTTTCTTA Unknown AAGGAGTA S507,[N|S|E]507 311 CTCTCTAC N707 TCTACTAT E504,[N|S|E]504 311 ACGAAACG Unknown AAGGAGTA S507,[N|S|E]507 311 TAAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 311 GCGGGGGG Unknown GGAAGAGG Unknown 310 GGGGGGGG Unknown GGCGGTGG Unknown 310 GCGGGGGG Unknown GGGCGCGG Unknown 309 TAGGCATG N706 TAAATCGC [N|S|E]501 309 TAGCGAAT Unknown AAGGAGTA S507,[N|S|E]507 309 CCTCCCTA Unknown AAGGAGTA S507,[N|S|E]507 308 TTTAAGGG Unknown AAGGAGTA S507,[N|S|E]507 308 GGGGGGGG Unknown GGACGTGG Unknown 308 CGTACTAG N702 AAGGCTCT S520 306 GATCTCGT Unknown TATCCTCT E503,S503,[N|S|E]503 306 GGGCTGCT Unknown AAGGCTAT S520 306 AATAAATA Unknown AAGGAGTA S507,[N|S|E]507 305 GGGGGGGG Unknown GGACGCGC Unknown 304 CTCTCTAC N707 GCGGAGGA Unknown 304 CTCTCTAC N707 TCGACTTC N729 304 ACTAAATG Unknown GCGTAAGA E517,S517,[N|S|E]517 304 TATAAGGG Unknown AAGGAGTA S507,[N|S|E]507 304 CTCTCTAC N707 AGGGAGGG Unknown 303 TTCTACAT Unknown AAGGAGTA S507,[N|S|E]507 302 CTATCTCG Unknown CTCTCTAT E502,S502,[N|S|E]502 302 CTACATCT Unknown CTCTCTAT E502,S502,[N|S|E]502 301 AATAAGTG Unknown AAGGAGTA S507,[N|S|E]507 301 ACGGGGGG Unknown GGACGCGG Unknown 301 CTCTCTAC N707 CTCATTCG Unknown 301 CTCTCGAC N707 GGGGGGGG Unknown 300 GGGGGGGG Unknown GGTGGTGG Unknown 300 CTCTCTAC N707 AGGGAGGA Unknown 300 ATCTCGTA Unknown GCGTAAGA E517,S517,[N|S|E]517 299 TCTACATC Unknown GCGTAAGA E517,S517,[N|S|E]517 298 GGACTCCT N705 AAGTATTC Unknown 297 CTCTCTAC N707 AAGGATTC Unknown 297 ACTAAATA Unknown AAGGAGTA S507,[N|S|E]507 297 TCCTGGAG Unknown GCGTAAGA E517,S517,[N|S|E]517 297 CGTACCAG N702 AAGGCTAT S520 296 TGGCGAAT Unknown AAGGAGTA S507,[N|S|E]507 296 GGTCTACT Unknown TATCCTCT E503,S503,[N|S|E]503 296 GCGGGGGG Unknown GGCAGAGG Unknown 295 CTCTCTAC N707 TCGTACGA Unknown 294 TAAGGCGA N701 AAGGATCG Unknown 293 GGGGGGGG Unknown GGCGGGGC Unknown 292 CCGAAGTG Unknown AAGGAGTA S507,[N|S|E]507 292 GCGGGGGG Unknown GGGAGGGG Unknown 292 AATAAGTA Unknown CTCTCTAT E502,S502,[N|S|E]502 291 GGACTCCT N705 TATCTCGT Unknown 291 AATAAGTA Unknown AAGGAGTA S507,[N|S|E]507 291 AAAAAAAA Unknown CTCTCTAT E502,S502,[N|S|E]502 290 TCCTGAGC N704 GCAAGATC Unknown 290 CTATCTAC N707 GCGTAAGA E517,S517,[N|S|E]517 290 CTCCTATC Unknown AAGGAGTA S507,[N|S|E]507 290 CCTCTGTT Unknown AAGGAGTA S507,[N|S|E]507 290 GGACTCCT N705 TATCCCGT Unknown 290 GGGGGGGG Unknown GGGCGTGG Unknown 289 CTTACATC Unknown AAGGAGTA S507,[N|S|E]507 289 CGTAACTG Unknown AAGGCTAT S520 288 CCTCTATT Unknown AAGGAGTA S507,[N|S|E]507 288 GGGGGGGG Unknown GGGGAGGG Unknown 288 AAGAAAGA Unknown CTCTCTAT E502,S502,[N|S|E]502 288 CTCTCTAC N707 TCTTAAGA Unknown 287 GGACCTCC Unknown AAGGCTAT S520 287 AATAAATG Unknown CTCTCTAT E502,S502,[N|S|E]502 286 TAAGGCGA N701 CTCGTCGG Unknown 286 CTCTCTAC N707 TTCGACTA Unknown 286 CGCACTAG N702 GAGCCTTA S521 285 GGACTCCT N705 AGGCTTTC Unknown 285 GGGGGGGG Unknown GGCAGTGG Unknown 284 CCCTCTTC Unknown CTCTCTAT E502,S502,[N|S|E]502 284 GGGGGGGG Unknown GGTTGCGG Unknown 283 GGGATCCC Unknown TATCCTCT E503,S503,[N|S|E]503 283 GGACTCTT N705 GAGCCTTA S521 283 TCCTGAGC N704 CCGTCAGA Unknown 283 GGTCTGCT Unknown TATCCTCT E503,S503,[N|S|E]503 282 ACTCTCTT Unknown AAGGAGTA S507,[N|S|E]507 282 CTCTTAAT Unknown CTCTCTAT E502,S502,[N|S|E]502 281 CTCTCTAC N707 AGGGAGTG Unknown 281 GGGGGGGC Unknown GGGGGGGG Unknown 281 TCCTGAGC N704 GCGTTAAG Unknown 281 TAGGAATG N706 TAGATCGC [N|S|E]501 281 GGACTTAT Unknown AAGGCTAT S520 279 TAGGATGA Unknown GAGCCTTA S521 278 CTCTCAAC N707 TCGACTAG S513 278 TAAGGCGA N701 AAGGTATC Unknown 278 TCCTGAGC N704 TCTAAGAT Unknown 278 CTCTCTAC N707 TCGAATAC Unknown 278 CTTCTAAT S510 AAGGAGTA S507,[N|S|E]507 278 CAGAGAGG N708 ACGTAAGA E517,S517,[N|S|E]517 278 TCCTAATT Unknown TATCCTCT E503,S503,[N|S|E]503 278 CTCTCTTT E502,S502,[N|S|E]502 AAGGAGTA S507,[N|S|E]507 278 CCTTCTTC Unknown CTCTCTAT E502,S502,[N|S|E]502 278 CGTACTAG N702 GAACCTTA S521 278 GGCCTATC Unknown AAGGCTAT S520 277 ACGGGGGG Unknown GGGGGCGG Unknown 277 GGACTCCT N705 TATCCTTA Unknown 276 CTCTCTAC N707 GGGGAGGG Unknown 276 CTCTCTAC N707 ATGAGTAT Unknown 275 GGGGGCCT Unknown TATCCTCT E503,S503,[N|S|E]503 275 AATAAATA Unknown TATCCTCT E503,S503,[N|S|E]503 275 GGGGGGCG Unknown GGGCGGGG Unknown 275 CTCTCTAC N707 CTTTCGTC Unknown 275 GGACTCCT N705 TATCGGCA Unknown 274 GGGCCCCC Unknown AAGGCTAT S520 273 CCCCCCTC Unknown AAGGAGTA S507,[N|S|E]507 273 ACGGGGGG Unknown GGAAGGGG Unknown 273 CGCTAGAT Unknown GAGCCTTA S521 273 CTGGGGGG Unknown GGGGGGGG Unknown 272 GGACTCCT N705 AAGGGTAG Unknown 272 CCTCCCTC Unknown AAGGAGTA S507,[N|S|E]507 272 GGGGGGGG Unknown GGGGCGGG Unknown 272 CTCTCTAC N707 CGGGGGGG Unknown 272 TACGCATG N706 GAGCCTTA S521 271 GGGGGGGT Unknown GGGGGGGG Unknown 271 CTCTCTAC N707 TTCGTCGG Unknown 271 TCCTGAGC N704 ACGTAGGA Unknown 271 TCTAAATA Unknown AAGGAGTA S507,[N|S|E]507 271 TTCCTGAG Unknown GCGTAAGA E517,S517,[N|S|E]517 270 GGACTCCT N705 GAGCATTT Unknown 270 TAGCCATG N706 TAGATCGC [N|S|E]501 270 AAGGAGTG S507,[N|S|E]507 AAGGAGTA S507,[N|S|E]507 270 GGGGGGCG Unknown GGTCGCGG Unknown 270 AAGGGGGG Unknown GGCAGCGG Unknown 270 GGGCTTCT Unknown TATCCTCT E503,S503,[N|S|E]503 269 CTCCTTTC E505,S505,[N|S|E]505 AAGGAGTA S507,[N|S|E]507 269 GGACTCCT N705 AAGGTTCG A501 269 GGGAACCT Unknown TATCCTCT E503,S503,[N|S|E]503 268 GGGGGGCG Unknown GGAGGGGG Unknown 268 CTCTCTAC N707 GAGGGGTG Unknown 268 CTCTCTAC N707 AAGATATC Unknown 268 TAAGGCAT Unknown AAGGAGTA S507,[N|S|E]507 268 CCTGGGGG Unknown GCGTAAGA E517,S517,[N|S|E]517 268 TTCTCTAC N707 AAGGCGTA S507,[N|S|E]507 267 TAAGGCGA N701 CTCTCGGC Unknown 267 TCTGAGCA Unknown TCGTAAGA E517,S517,[N|S|E]517 267 CCTAAATG Unknown AAGGAGTA S507,[N|S|E]507 267 TCCCTCCT Unknown TATCCTCT E503,S503,[N|S|E]503 267 TAGGCATG N706 TATCGCTC N723 266 GGACGCCT N705 TATCCTCT E503,S503,[N|S|E]503 266 GGACTCCT N705 ATATTCGT Unknown 265 CCTCTGCG Unknown GCGTAAGA E517,S517,[N|S|E]517 265 CGTACTAG N702 GAGCCGTA S521 265 GGACTCCT N705 GAGCCATA S521 265 TCTCAACT Unknown AAGGCTAT S520 264 AAGAAAGA Unknown AAGGAGTA S507,[N|S|E]507 264 CTCTCTAC N707 AACGCGTT Unknown 263 GGGGGGCG Unknown GGGCGCGG Unknown 263 TAGGCATG N706 CAGATCGC [N|S|E]501 263 GCGGGGGG Unknown GGAGGCGG Unknown 263 TATAGGGG Unknown CTCTCTAT E502,S502,[N|S|E]502 263 CTCTCTAC N707 GGCGTAAG Unknown 263 CTGTCTAC N707 TCGACTAG S513 263 ACTAAACG Unknown AAGGAGTA S507,[N|S|E]507 262 TAGGGATG N706 TAGATCGC [N|S|E]501 262 CTCTCTAC N707 AAGGCTAA S520 262 CCTCCTTA Unknown AAGGAGTA S507,[N|S|E]507 262 CCGGGGGG Unknown GGCGGGGG Unknown 262 GGGGGGCG Unknown GGCAGCGG Unknown 261 TAGGCATG N706 GATCGCTC Unknown 261 GCGGGGGG Unknown GGTGGGGG Unknown 261 GGACTCCT N705 GATGGCAC Unknown 260 GGACTCCT N705 AAGGGTAC Unknown 260 ACTAAATA Unknown TATCCTCT E503,S503,[N|S|E]503 260 TAAGGCGA N701 AAGGAATC Unknown 260 CTCTCTAC N707 GCGTAATC Unknown 259 CTCTCTAC N707 TAGAGGCC Unknown 259 CGTACTTG N702 GAGCCTTA S521 259 CTCTCCTA Unknown TCGACTAG S513 259 GGACCCCT N705 GAGCCTTA S521 258 CTCTCTAC N707 TCGACAAG S513 257 TTCGCTAC Unknown AAGGAGTA S507,[N|S|E]507 256 GGACTCCT N705 TATCCGTC Unknown 256 GGGCAGCG Unknown GGGGGGGG Unknown 255 GGGAAACT Unknown TATCCTCT E503,S503,[N|S|E]503 255 CTCTCTAC N707 CCCCTATT Unknown 255 CTCTTATC Unknown AAGGAGTA S507,[N|S|E]507 254 GGACTCCT N705 TTCCTCTC Unknown 254 TAAGTCTA A508 CTCTCTAT E502,S502,[N|S|E]502 254 GCGGGGGG Unknown GGCCGGGG Unknown 253 GGACATCT Unknown TATCCTCT E503,S503,[N|S|E]503 253 GGGGGGAG Unknown GGGGGGGG Unknown 253 CGTACTAG N702 GAGTCTTA A504,S521 253 TCCTGAGC N704 TCGTAAAT Unknown 252 GGGGGGCG Unknown GGACGAGG Unknown 252 CTCTCTAC N707 TCCTAGTC Unknown 252 ACGAAGTG Unknown GCGTAAGA E517,S517,[N|S|E]517 252 CTCTCTAC N707 TCGAACTA Unknown 252 CTCTCTAC N707 AAGGCAGC Unknown 251 GGGCGGGG Unknown GGGGGCGG Unknown 251 TCCTGAGC N704 GCGTTAGA E517,S517,[N|S|E]517 251 CTCTCACA Unknown AGGAGTAT Unknown 251 AAAAAATA Unknown AAGGAGTA S507,[N|S|E]507 251 TAGGCCTG N706 TAGATCGC [N|S|E]501 250 CTCTCGAC N707 CTCTCTAT E502,S502,[N|S|E]502 250 TCCTGAGC N704 TTAAGATC Unknown 249 CTCTCTAC N707 CTCGCGAT Unknown 249 CCTCTACT Unknown AAGGAGTA S507,[N|S|E]507 249 GGACTCCT N705 CGAGCCTT Unknown 249 ACGGGGGG Unknown GGCGGCGG Unknown 248 ACGGGGGG Unknown GGCAGGGG Unknown 248 CAGAGAGG N708 GCGTACGA E517,S517,[N|S|E]517 248 CTCTCTAG E502,N707,S502,[N|S|E]502 CTCTCTAT E502,S502,[N|S|E]502 247 TAAGGCGA N701 AAGGGGTG Unknown 247 TATCTCGT Unknown TATCCTCT E503,S503,[N|S|E]503 247 GCGGGGGG Unknown GGACGAGG Unknown 247 TTGAGCAT Unknown GCGTAAGA E517,S517,[N|S|E]517 246 ACTAAATA Unknown CTCTCTAT E502,S502,[N|S|E]502 246 CTCTCTAC N707 ACGGCGTG Unknown 246 AAAAAAGA Unknown AAGGAGTA S507,[N|S|E]507 245 CTTTCTAC N707 GCGTAAGA E517,S517,[N|S|E]517 245 CTCTTCTA Unknown TCGACTAG S513 245 CCTCTCTT Unknown TCGACTAG S513 245 AAGGGGGG Unknown GGAGGGGG Unknown 245 GGGGGGCG Unknown GGAAGCGG Unknown 244 CTTCTTTA Unknown AAGGAGTA S507,[N|S|E]507 244 TCCTGAGC N704 GCGTCAGG Unknown 244 TCTACATC Unknown TCGACTAG S513 244 CTCTCTCC N707 GCGTAAGA E517,S517,[N|S|E]517 243 GGGACCCC Unknown TATCCTCT E503,S503,[N|S|E]503 243 TAAGGCGA N701 CATTCGTC Unknown 243 TCTCTACA Unknown AGGAGTAT Unknown 242 TAGGCATG N706 GAGCCTAA S521 242 TCTCACCT Unknown TATCCTCT E503,S503,[N|S|E]503 242 CTCGCTAC N707 GGGGGGGG Unknown 241 GGACCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 240 AAGGGGGG Unknown GGCAGAGG Unknown 240 AATAAGTA Unknown TATCCTCT E503,S503,[N|S|E]503 240 AAAAAACA Unknown CTCTCTAT E502,S502,[N|S|E]502 240 GGGGGGGG Unknown GGGTGTGG Unknown 240 GGACTCCT N705 AATTCTAT Unknown 240 GGACTCGT N705 GAGCCTTA S521 239 TAGGTATG N706 TAGATCGC [N|S|E]501 239 TAGGATGA Unknown TAGATCGC [N|S|E]501 239 CGCTCTAC N707 GGGGGGGG Unknown 238 GCGGGGGG Unknown GGCTGCGG Unknown 238 CTCTCACT Unknown AAGGAGTA S507,[N|S|E]507 238 CTCTTCAT Unknown CTCTCTAT E502,S502,[N|S|E]502 238 GGGGGGCG Unknown GGTGGGGG Unknown 237 CTCTCTAC N707 AGTCGGCA Unknown 236 TCCTGAGC N704 TCGTAGAT Unknown 235 TAGGCATG N706 GTGCCTTA A504,S521 235 GCGGGGGG Unknown GGACGGGG Unknown 235 GGGCAGCT Unknown AAGGCTAT S520 235 CCTAAGTG Unknown AAGGAGTA S507,[N|S|E]507 234 TAAGGCGA N701 CTCTCTTA Unknown 234 TAAGGCGA N701 AAGTATTA Unknown 234 AAGAAATG Unknown CTCTCTAT E502,S502,[N|S|E]502 234 ATCTCGTA Unknown CTCTCTAT E502,S502,[N|S|E]502 233 TAAGGCGA N701 CTCTCCGG Unknown 233 TAGCCATG N706 GAGCCTTA S521 233 CTCCTACC Unknown AAGGAGTA S507,[N|S|E]507 233 CTCTCTAC N707 CACGCGTA Unknown 232 TAAGGCGA N701 ATTCGTCG Unknown 232 CGTACTCG N702 AAGGCTAT S520 232 CGTACTAG N702 AAGGATAA Unknown 231 CTCTCGCC Unknown AAGGAGTA S507,[N|S|E]507 231 CTCTCTAC N707 AAGGAGAC Unknown 231 ACGAAGTA Unknown AAGGAGTA S507,[N|S|E]507 231 CCTCTCCA Unknown AAGGAGTA S507,[N|S|E]507 230 CTCTCTGC N707 AAGAAGTA S507,[N|S|E]507 230 AGGCGAAT D505 AAGGAGTA S507,[N|S|E]507 230 GGCCTCCC Unknown AAGGCTAT S520 230 GGGGGGGG Unknown AGGGGGGG Unknown 230 GGGGGGGG Unknown GGAAGTGG Unknown 229 CTCTCTAC N707 ACAGAGTA Unknown 229 ACTAAATT Unknown TATCCTCT E503,S503,[N|S|E]503 229 GGGGGGTG Unknown GGTGGGGG Unknown 228 CTCTCTAC N707 GAGGAGGG Unknown 228 CTCTCTAC N707 CCGGAGTA Unknown 228 CTCTCTAC N707 ACGGGGGG Unknown 228 GGACTCCT N705 AAGGATTC Unknown 227 CTCTCTAC N707 TCGACTTA Unknown 227 CTCCTATC Unknown AAGGCTAT S520 227 CTCTCTAC N707 AAGGCGAT S520 226 TAGGCATG N706 TACATCGC [N|S|E]501 226 GCGGGGGG Unknown GGGTGGGG Unknown 226 GAGGGGGG Unknown GGCGGGGG Unknown 226 AATAAATG Unknown AAGGAGTA S507,[N|S|E]507 225 TAAGGCGA N701 CTCGGCAG Unknown 225 CCGCTCTT Unknown AAGGAGTA S507,[N|S|E]507 225 TCGTGAGC N704 GCGTAAGA E517,S517,[N|S|E]517 224 AAGAAGTA S507,[N|S|E]507 CTCTCTAT E502,S502,[N|S|E]502 224 ACGAAGCG Unknown AAGGAGTA S507,[N|S|E]507 223 GGGCGCCT Unknown TATCCTCT E503,S503,[N|S|E]503 223 TAAGGCGA N701 CCCCTATT Unknown 222 TCCTGAGC N704 AACAAATG Unknown 222 GGACTCCG N705 AAGGCTAT S520 222 CGTACTGG N702 GAGCCTTA S521 222 CCTCACTT Unknown AAGGAGTA S507,[N|S|E]507 221 AAGAAGTG Unknown CTCTCTAT E502,S502,[N|S|E]502 221 TCCTGAGC N704 GCGTAACG Unknown 221 GAGGGGGG Unknown GGAGGGGG Unknown 221 ACGAAGTG Unknown TATCCTCT E503,S503,[N|S|E]503 221 GGGGGGGG Unknown GGCGGCGC Unknown 221 CGTACTAG N702 AAGGAGTA S507,[N|S|E]507 220 GGGGGGGG Unknown TGGGGCGG Unknown 220 TCTCTAGG S516 GCGTAAGA E517,S517,[N|S|E]517 220 CTCTCTAA E502,N707,S502,[N|S|E]502 AGGAGTAT Unknown 220 GGACTCCT N705 ACTATTCG Unknown 220 CTCTCCAT E502,S502,[N|S|E]502 TCGACTAG S513 219 GGGGGGGG Unknown GGTCGTGG Unknown 219 CGTACTAG N702 GACCCTTA S521 219 CTCTCTAC N707 AGGGGGTA Unknown 219 GGACTCCT N705 CTTCGTCG Unknown 219 GCGGGGGG Unknown GGCCGCGC Unknown 219 ACTAAGTG Unknown GCGTAAGA E517,S517,[N|S|E]517 219 TCCTGCGC N704 GCGTATGA E517,S517,[N|S|E]517 218 TGGCATGA Unknown TAGATCGC [N|S|E]501 218 CGTACTAG N702 AAGGCATT Unknown 218 ACGAAATG Unknown AAGGCTAT S520 218 CTCTCTAC N707 GGCAGCGT Unknown 217 CTCTCTAC N707 CTTCGGCA Unknown 217 GGACTAGA Unknown AAGGCTAT S520 217 GGGGGGTG Unknown GGAGGGGG Unknown 217 CTCTCTAC N707 ACGGCTAG Unknown 216 GGACTCCT N705 AAGGCCTA Unknown 216 CTCTCTAC N707 ATCGCTAT Unknown 216 TAGGCATG N706 GAGCCCTA S521 216 GGGGGGGG Unknown GGTTGAGG Unknown 216 CGTTACTA Unknown AAGGCTAT S520 216 ACTAAATG Unknown AAGGCTAT S520 215 GGGGGGGG Unknown GGTGTGGG Unknown 215 TTCTCTGC Unknown CTCTCTAT E502,S502,[N|S|E]502 215 CTCTCTAC N707 AACAAATG Unknown 215 GCGGGGGG Unknown GGCCGAGG Unknown 214 TCCTTAGC N704 TCGTAAGA E517,S517,[N|S|E]517 214 CGCTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 214 CAGAGAGG N708 GGTAAGAT Unknown 214 CTCTCTAC N707 CTCTGTCG Unknown 214 CTCTCTAC N707 TCGACGTC N729 214 CCTTTCTA Unknown AAGGAGTA S507,[N|S|E]507 214 GTACTAGA Unknown TCGACTAG S513 213 CCCCTCCT Unknown AAGGAGTA S507,[N|S|E]507 213 CTCTCTAC N707 AAGGGTTC Unknown 213 CTCTCTAC N707 ATTCGTCG Unknown 213 GCACTCCT N705 AAGGCTAT S520 213 TCCTGAGC N704 GCGTAGTC N719 213 GGGCTCCC Unknown GAGCCTTA S521 212 GGACTCCT N705 AATGCTCT Unknown 212 TCCTTAGG Unknown GCGTAAGA E517,S517,[N|S|E]517 212 GGACTCCT N705 AAGGCTCG Unknown 212 CAGAGAGG N708 GCGTAAGT E517,S517,[N|S|E]517 211 TAGGCATG N706 GAGCCTGA S521 211 ACTCTCCT Unknown AAGGAGTA S507,[N|S|E]507 211 CTCTCTAC N707 AGGGGGGA Unknown 211 CTCTCTAC N707 GCGTTAGA E517,S517,[N|S|E]517 210 GGACTCCT N705 GCCTTATC Unknown 210 CGTAAATG Unknown AAGGCTAT S520 210 GCGGGGGG Unknown GGTCGCGG Unknown 210 CGTAATTG Unknown AAGGCTAT S520 209 CTCTTACA Unknown AGGAGTAT Unknown 209 CTCTCAAA Unknown AAGGAGTA S507,[N|S|E]507 209 TTAAGGCG Unknown AAGGAGTA S507,[N|S|E]507 209 GGGCCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 209 ACTAAGTG Unknown TATCCTCT E503,S503,[N|S|E]503 208 TCCTGATC N704 TCGTAAGA E517,S517,[N|S|E]517 208 CTCTCCCT Unknown AAGGAGTA S507,[N|S|E]507 208 CTCTCTAC N707 ATCGAGTA Unknown 208 GAGGGGGG Unknown GGAAGCGG Unknown 207 ACTCCTAT Unknown AAGGCTAT S520 207 TAAAGGGA Unknown AAGGAGTA S507,[N|S|E]507 206 TAAGGCGA N701 CTTCTCTA Unknown 206 GGGGGGGG Unknown GGAGGGGC Unknown 206 GGGATACT Unknown TATCCTCT E503,S503,[N|S|E]503 206 GCGGGGGG Unknown GGGAGCGG Unknown 206 TAAGGCGA N701 AAGGTGTT Unknown 206 TGTACTAG A506,N702 GAGCCTTA S521 205 ACTAAGTA Unknown AAGGAGTA S507,[N|S|E]507 205 CTCTCCAA Unknown AAGGAGTA S507,[N|S|E]507 205 TAAAAAGG Unknown CTCTCTAT E502,S502,[N|S|E]502 205 GAGGGGGG Unknown GGAAGAGG Unknown 205 AAGGGGGG Unknown GGGAGGGG Unknown 204 GGGGGGCG Unknown GGCGGCGG Unknown 204 TAAGGCGA N701 TCTCTATC Unknown 204 TAGGCATG N706 TTGATCGC [N|S|E]501 204 GGGAAGTG Unknown GGGGGGGG Unknown 203 GGGGGGTG Unknown GGACGCGG Unknown 203 CTCTCTAC N707 TCGTCAGA Unknown 203 TAAGCGAT Unknown CTCTCTAT E502,S502,[N|S|E]502 203 GGGAAGCG Unknown GGGGGGGG Unknown 203 CTCTCTAC N707 GAGGGGGA Unknown 203 CTCCACAT Unknown CTCTCTAT E502,S502,[N|S|E]502 202 AGTACTAG N702 AAGGCTAT S520 202 TAAGGCGA N701 AAGGAGCG Unknown 202 CGTACTAG N702 GAGACTTA S521 202 CTCTCTAC N707 AATCGGCA Unknown 202 CAGAGAGG N708 CCGTAAGA E517,S517,[N|S|E]517 202 CGTAATAG N702,S518 GAGCCTTA S521 202 GGGGAACT Unknown TATCCTCT E503,S503,[N|S|E]503 202 ACGAAAGG Unknown AAGGAGTA S507,[N|S|E]507 202 TACATCTC Unknown AAGGAGTA S507,[N|S|E]507 202 CTCTCTAC N707 AGAAGTAT Unknown 201 CGGGCGGG Unknown GGGGGGGG Unknown 201 GGACTCCT N705 ATCCTCTC Unknown 201 GGTCTCCT N705 GAGCCTTA S521 201 CGTACTAG N702 GGGCCTTA S521 201 GGGGGGGG Unknown GGAGGTGG Unknown 201 TAAGGCGA N701 AAGGCTAT S520 201 CTCTCTAC N707 CCCCCTAT Unknown 200 TACGAATC Unknown AAGGAGTA S507,[N|S|E]507 200 GCGGGGGG Unknown GGGGGAGG Unknown 200 GGACTCCT N705 TAGCCTTT Unknown 200 CTCCTACA Unknown AGGAGTAT Unknown 199 CCTTTCTC Unknown AAGGAGTA S507,[N|S|E]507 199 GGGGGGGG Unknown CGCGGCGG Unknown 199 ACGGGGGG Unknown GGCTGCGG Unknown 198 TAAGGGGG Unknown AAGGAGTA S507,[N|S|E]507 198 TCCTGAGA D702,N704 TCGTAAGA E517,S517,[N|S|E]517 198 GGGGGTGG Unknown GGGGGGGG Unknown 198 GGGGGGGG Unknown CGACGCGG Unknown 198 GGGCGGGG Unknown GGCCGCGG Unknown 198 GGACTCCT N705 GCGTAAGA E517,S517,[N|S|E]517 198 TCAGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 197 CTCTCTAC N707 GCGTCAGT Unknown 197 GGGGGGGG Unknown GGCCGCCG Unknown 197 GTCTCTCC Unknown AAGGAGTA S507,[N|S|E]507 196 GGACTCCT N705 GTCGGCAG Unknown 196 GGGGGGGG Unknown CGGGGCGG Unknown 196 CTCTCTAC N707 AGTAGTAT Unknown 196 CTCCCCAC Unknown AAGGAGTA S507,[N|S|E]507 196 GGACTCCT N705 GAGGCCTT Unknown 196 CAGAGAGG N708 AAGGAGTA S507,[N|S|E]507 196 CTCTTCTA Unknown GCGTAAGA E517,S517,[N|S|E]517 196 CTTACTAG N702,S518 AAGGCTAT S520 196 CTCTCTAC N707 AAGCGGCA N711 195 TAAGGCGA N701 AACTCTAT Unknown 195 TCGGGGGG Unknown GGCGGGGG Unknown 195 CCTCTGCT Unknown AAGGAGTA S507,[N|S|E]507 195 TAGGCATG N706 TGGATCGC [N|S|E]501 194 CTCTCATA Unknown AAGGAGTA S507,[N|S|E]507 194 CTCTCTAC N707 CCGTCAGA Unknown 193 GGGGGGCG Unknown GGAAGAGG Unknown 193 TAAGGCGA N701 CGGCAGCG Unknown 193 CTCTCTAC N707 AAGGGTCG Unknown 193 TCCTGAGC N704 ACGCGTAA Unknown 193 CTCTCTAC N707 AAGGATAC Unknown 192 ACGAAATA Unknown TATCCTCT E503,S503,[N|S|E]503 192 GGACTCCT N705 GGTCCTCT Unknown 192 AGGCGGAA N703 CTCTCTAT E502,S502,[N|S|E]502 191 TAAGGCGA N701 CATGGCAC Unknown 191 TCCGGAGC D702,N704 TCGTAAGA E517,S517,[N|S|E]517 191 GGGGGGGG Unknown TGTGGGGG Unknown 191 CTCTTCTC Unknown AAGGAGTA S507,[N|S|E]507 191 TCCCAATT Unknown AAGGCTAT S520 191 CGTACTAG N702 AAGCCTAT S520 189 CTCTCTAC N707 TAGGGGCC Unknown 189 GGGCGCCT Unknown AAGGCTAT S520 189 GGCCTTCC Unknown TATCCTCT E503,S503,[N|S|E]503 189 CTCCCTCC Unknown CTCTCTAT E502,S502,[N|S|E]502 189 ACGGGGGG Unknown GGAGGCGG Unknown 189 CTCTCTAC N707 ACGTAATA Unknown 189 CGTACTAG N702 AAGGCTTC Unknown 189 GGACTCCT N705 GAGGCTTA S521 189 AATAAAGA Unknown AAGGAGTA S507,[N|S|E]507 189 GAGGGGGG Unknown GGCAGCGG Unknown 188 GGGGGGGG Unknown GGTAGTGG Unknown 188 ACTAAATT Unknown AAGGAGTA S507,[N|S|E]507 188 CGTACTAG N702 TCGACTAT S513 188 CTCTCTAC N707 GAGGCGTA Unknown 188 CAGAGAGG N708 GCGTAGAT Unknown 188 AATAAGTG Unknown CTCTCTAT E502,S502,[N|S|E]502 188 CCCTACAT Unknown AAGGAGTA S507,[N|S|E]507 187 CTCTCTAC N707 GCGGTAAG Unknown 187 GGGCTTCC Unknown TATCCTCT E503,S503,[N|S|E]503 187 CCGGGGGG Unknown GGGGGCGG Unknown 187 CTCTCTAC N707 GAGTAGTA N719 187 GGGGGGGG Unknown GGACGAGC Unknown 186 CTCTCTAC N707 GGGGAGTG Unknown 186 CTCTCTAC N707 ACGGCGAA Unknown 186 CCTAAATA Unknown AAGGAGTA S507,[N|S|E]507 186 CCCTCTTC Unknown TCGACTAG S513 186 TAAGGCGA N701 CTCGCGAT Unknown 185 TCTACATC Unknown CTCTCTAT E502,S502,[N|S|E]502 185 AAAAAGTA Unknown CTCTCTAT E502,S502,[N|S|E]502 185 CTCTCTAC N707 CTGGAGTA Unknown 185 TCGGAATA Unknown TATCCTCT E503,S503,[N|S|E]503 185 CGACTCCT N705 AAGGCTAT S520 185 GGACTCCT N705 TATCTTCA Unknown 184 GAACTCCT N705 GAGCCTTA S521 184 CTCTCTAC N707 ACGGATTA Unknown 184 CTCTCTAC N707 CTCTCCAC N707 183 GGGGGGGG Unknown GGGAGTGG A712 183 TCCTGAGC N704 TCGTATGA Unknown 183 CTCTCTAC N707 AACTCTAT Unknown 183 TCCTGAGC N704 TCGAAGAT Unknown 183 TAGGCATG N706 GAGCCTCA S521 183 GGGCTCTT Unknown TATCCTCT E503,S503,[N|S|E]503 183 GTCTCTAC N707 TCGACTAG S513 183 GGACTCCT N705 AAGGCTTA Unknown 182 GCGGGGGG Unknown GGCAGGGG Unknown 182 TAGACATG N706 TAGATCGC [N|S|E]501 182 ACGGAATA Unknown AAGGAGTA S507,[N|S|E]507 182 GGGGGGCG Unknown GGCCGCGC Unknown 182 GGGGTGCG Unknown GGGGGGGG Unknown 182 GGGGGGTG Unknown GGGGGCGG Unknown 181 CTTCACAT Unknown CTCTCTAT E502,S502,[N|S|E]502 181 CTCTCTAC N707 AAGGGATC Unknown 181 ACGGGGGG Unknown GGACGGGG Unknown 181 AAGGGGGG Unknown GGAAGGGG Unknown 181 GGACATCT Unknown AAGGCTAT S520 181 CTCTCTAC N707 ATCGGCAG Unknown 181 GGACTCCT N705 TTTTTTTT Unknown 181 CTCTAATC Unknown AAGGAGTA S507,[N|S|E]507 181 TCTAAATA Unknown TATCCTCT E503,S503,[N|S|E]503 180 GGGGGCCT Unknown AAGGCTAT S520 180 CTCTCTAC N707 CCCACTAT Unknown 180 CATGCTCA Unknown GCGTAAGA E517,S517,[N|S|E]517 180 ACTAAATT Unknown CTCTCTAT E502,S502,[N|S|E]502 180 TAGACATG N706 GAGCCTTA S521 180 CTCTCTGC N707 GGGGGGGG Unknown 179 CGTACTAG N702 GAGCGTTA S521 179 CTCTCTAC N707 GGGGAGGA Unknown 179 CTCTCTAC N707 AGGAATAT Unknown 178 AAGAAATA Unknown TATCCTCT E503,S503,[N|S|E]503 178 CTCTCTAC N707 ATGGCGTA Unknown 178 CTCTCTAC N707 CACGCTAT Unknown 178 CGGGGGGG Unknown GGCGGGGG Unknown 178 GGACTTAT Unknown GAGCCTTA S521 177 TAGGAATA Unknown TATCCTCT E503,S503,[N|S|E]503 177 CAGAGAGG N708 GCTAAGAT Unknown 177 CCTCACAT Unknown AAGGAGTA S507,[N|S|E]507 177 ACGGGGGG Unknown GGACGAGG Unknown 177 CTCTCTAC N707 TCTTATTC Unknown 177 CTCTCTAC N707 AACGGCAG Unknown 177 TAGGCATG N706 ATCGCTCG Unknown 177 TAGGCATG N706 GAGACTTA S521 176 TCGGGGGG Unknown GGCAGCGG Unknown 176 GGGGGGGG Unknown GCACGCGG Unknown 176 TAGGGGGA Unknown CTCTCTAT E502,S502,[N|S|E]502 176 TAGGAATG N706 GAGCCTTA S521 176 GGACTCCT N705 CACGCTAT Unknown 176 GGGCCGCG Unknown GGGGGGGG Unknown 176 TAAGGCGA N701 AGTATCGT Unknown 176 CTCTCTAC N707 GCGTGAGT Unknown 175 TAGGCCTG N706 GAGCCTTA S521 175 TCCTGAGC N704 GCAGATCG Unknown 175 ACGGGGGG Unknown GGATGCGG Unknown 175 TAAGGCGA N701 CTCCGTCG Unknown 175 TAAGAATC Unknown CTCTCTAT E502,S502,[N|S|E]502 175 TAAGGCGA N701 TCGGCAGC Unknown 175 CTCCTATC Unknown TATCCTCT E503,S503,[N|S|E]503 174 CTCTCATT D703 AAGGAGTA S507,[N|S|E]507 174 TTATCTAC Unknown AAGGAGTA S507,[N|S|E]507 174 TCCCGAGC N704 TCGTAAGA E517,S517,[N|S|E]517 174 CAGAGAGG N708 GCATAAGA E517,S517,[N|S|E]517 174 GGACTCCT N705 CGAACTGA Unknown 174 CTACATCT Unknown TCGACTAG S513 174 CTCTCTAC N707 TCGGACTA Unknown 174 CCCTTCTC Unknown AAGGAGTA S507,[N|S|E]507 173 GGGCGGGG Unknown GGGCGGGG Unknown 173 GGGCTATT Unknown TATCCTCT E503,S503,[N|S|E]503 173 CTCTCTAC N707 AAGTCGTA Unknown 173 GTCCTATC Unknown AAGGCTAT S520 172 GGGAAGCT Unknown TATCCTCT E503,S503,[N|S|E]503 172 TCCCACCT Unknown AAGGCTAT S520 172 CTCTCTAC N707 GCGGCTAG Unknown 172 CTCTCTAC N707 GCGTGAGC Unknown 172 AAGGAATA S507,[N|S|E]507 AAGGAGTA S507,[N|S|E]507 172 CTCTCTAC N707 AACGAGTT Unknown 171 CTCCACAT Unknown TCGACTAG S513 171 GGACTCCT N705 TACGTCGG Unknown 171 GGACTCCT N705 GGAGCCTT Unknown 171 CCACTCCT Unknown AAGGAGTA S507,[N|S|E]507 171 CCTCCCTT Unknown AAGGAGTA S507,[N|S|E]507 171 TAGGCATG N706 GACCTTAT Unknown 171 ACGAAGGG Unknown AAGGAGTA S507,[N|S|E]507 171 CAGAGAGG N708 GCGTAAAT Unknown 171 TATAAATA Unknown TATCCTCT E503,S503,[N|S|E]503 170 CTCTCTAC N707 GGGGGGGA Unknown 170 CTCTTTCC Unknown AAGGAGTA S507,[N|S|E]507 170 CTCTCTGA Unknown AAGGAGTA S507,[N|S|E]507 170 CTCTCTAA E502,N707,S502,[N|S|E]502 TCGTAAGA E517,S517,[N|S|E]517 170 CGTACTAG N702 GCCTTATC Unknown 170 GGACTCCT N705 AGGTATTC Unknown 170 GGACTCCT N705 ATCTCTTC Unknown 169 CTTCCTAC Unknown AAGGAGTA S507,[N|S|E]507 169 TCCTATTT Unknown TATCCTCT E503,S503,[N|S|E]503 169 CTCTCTGC N707 AAGGACTA S507,[N|S|E]507 169 TAAGGCGA N701 AAGGGGTT Unknown 169 TAAGGCGA N701 GGGGGGGG Unknown 169 TTCTCTAC N707 AACGAGTA S507,[N|S|E]507 169 CTGTCTAC N707 GGGGGGGG Unknown 169 CTCCTCTA Unknown GCGTAAGA E517,S517,[N|S|E]517 168 GCTCTCCT Unknown AAGGAGTA S507,[N|S|E]507 168 GCGGGGGG Unknown GGAAGGGG Unknown 168 AAGGGGGG Unknown GGCGGGGG Unknown 168 AGGGGGGG Unknown GGAGGGGG Unknown 168 ACGGAGTA S507,[N|S|E]507 AAGGAGTA S507,[N|S|E]507 167 TGGGGGGG Unknown GGCGGGGG Unknown 167 CTCTCAGC Unknown AAGGAGTA S507,[N|S|E]507 167 TATAGGGG Unknown AAGGAGTA S507,[N|S|E]507 167 GGAACTCC Unknown TATCCTCT E503,S503,[N|S|E]503 167 GGGGGGGG Unknown GGCTGTGG Unknown 167 CTCTCTAC N707 ACGGCTAA Unknown 166 TAACGAAT Unknown CTCTCTAT E502,S502,[N|S|E]502 166 GAGGGGGG Unknown GGGGGCGG Unknown 166 CAGAGAGG N708 CGTAAGAT Unknown 166 TCCCTACT Unknown AAGGCTAT S520 166 GGACTCAA Unknown TATCCTCT E503,S503,[N|S|E]503 166 GGGCAATT Unknown TATCCTCT E503,S503,[N|S|E]503 166 GGACCTAT Unknown GAGCCTTA S521 166 CCGTACTA Unknown AAGGCTAT S520 166 GGACGCCT N705 AAGGCTAT S520 166 CCTCAATT Unknown AAGGAGTA S507,[N|S|E]507 166 AGGGGGGG Unknown GGAAGCGG Unknown 165 CTCTCTAC N707 AGGCGTAT Unknown 165 CTCTTTTA Unknown AAGGAGTA S507,[N|S|E]507 165 TAAGGCGA N701 CTCTCCAC N707 165 ACTAAGGA Unknown AAGGAGTA S507,[N|S|E]507 165 TAAGGCGA N701 CTCTGCAC Unknown 165 CTCTCTAC N707 CGACTGTC Unknown 165 ACGGGGGG Unknown GGGAGCGG Unknown 165 GGACTCCT N705 CCTCCTCT Unknown 165 ACGAAATA Unknown CTCTCTAT E502,S502,[N|S|E]502 164 CTCTCAAC N707 GCGTAAGA E517,S517,[N|S|E]517 164 TCCTAGCA Unknown TCGTAAGA E517,S517,[N|S|E]517 164 TAGGCATG N706 TAGAGCGC [N|S|E]501 163 CTCCTCTC Unknown AAGGAGTA S507,[N|S|E]507 163 CTCTCTAC N707 TGGGAGTA Unknown 163 GGGCCCCT Unknown TATCCTCT E503,S503,[N|S|E]503 163 GGAATCTC Unknown TATCCTCT E503,S503,[N|S|E]503 163 CTCTCTAC N707 AAGGGTAC Unknown 163 CTCTCTAC N707 AAGGATAA Unknown 163 TAAAAAGA Unknown CTCTCTAT E502,S502,[N|S|E]502 163 AAGAAGTA S507,[N|S|E]507 TATCCTCT E503,S503,[N|S|E]503 163 TCTCTCAT Unknown AAGGAGTA S507,[N|S|E]507 163 TAAGGCGA N701 AAGGTGTC Unknown 163 TAGGCATG N706 GAACCTTA S521 163 CCTCGGGG Unknown GCGTAAGA E517,S517,[N|S|E]517 162 CTCTCTAC N707 AAGAGATC Unknown 162 CTCTGTAC N707 TCGACTAG S513 162 GGGCAGCG Unknown GGACGCGG Unknown 162 GGCCCCCT Unknown TATCCTCT E503,S503,[N|S|E]503 162 CTCGCTAC N707 AGGGGGGG Unknown 162 CTCTCTAC N707 CCGTCTAT Unknown 162 GGGGGGGG Unknown GGGGGGGT Unknown 162 CTCTCTAC N707 TCGTAAGT Unknown 162 TAAGGCGA N701 GTATCGTC Unknown 162 CATCTCGT Unknown AAGGCTAT S520 161 TCCTGAGC N704 TCGTAATA Unknown 161 GGACCTCC Unknown GAGCCTTA S521 161 TCCTATCT Unknown GCGTAAGA E517,S517,[N|S|E]517 161 GGGGGGTG Unknown GGAAGCGG Unknown 160 CGTACTAG N702 GAGCCTTG S521 160 CCCTCCTC Unknown AAGGAGTA S507,[N|S|E]507 160 TCCGAGCA Unknown TCGTAAGA E517,S517,[N|S|E]517 160 GAGGGGGG Unknown GGACGCGG Unknown 160 CGGGGGGG Unknown GGGGGCGG Unknown 160 TAGGGATG N706 GAGCCTTA S521 160 CCTCTCAT Unknown AAGGAGTA S507,[N|S|E]507 160 CCATCTCG Unknown AAGGAGTA S507,[N|S|E]507 160 CCGCTCCT Unknown AAGGAGTA S507,[N|S|E]507 160 TAGGCGTG N706 TAGATCGC [N|S|E]501 160 CTATCTCG Unknown GCGTAAGA E517,S517,[N|S|E]517 159 GGGAAATT Unknown TATCCTCT E503,S503,[N|S|E]503 159 CTCTCTAC N707 CGGGAGTA Unknown 159 CTCCTTAC E505,S505,[N|S|E]505 AAGGAGTA S507,[N|S|E]507 159 GGGCGGCG Unknown GGGGGCGG Unknown 159 GGGGGGGG Unknown GGACGCCG Unknown 159 CTCTCTAC N707 CCCACTAG Unknown 159 TTCTCCAC Unknown AAGGAGTA S507,[N|S|E]507 159 TAAGCGAA Unknown TCTCTATT Unknown 159 CTACTAGA Unknown AAGGCTAT S520 158 GAGGGGGG Unknown GGGAGGGG Unknown 158 TCGGGGGG Unknown GGAAGCGG Unknown 158 GGGGCGCG Unknown GGGGGGGG Unknown 158 GGACTCCT N705 GATCCTTT Unknown 158 CTTTCTTC Unknown TCGACTAG S513 158 CCTTTTTC Unknown CTCTCTAT E502,S502,[N|S|E]502 158 CTCCCTAC E505,N707,S505,[N|S|E]505 AAGGCGTA S507,[N|S|E]507 158 GGACTCCT N705 TACCTTTC Unknown 158 GGGGGGGG Unknown CGCAGCGG Unknown 157 ACGAAAGA Unknown AAGGAGTA S507,[N|S|E]507 157 GGCCCCCT Unknown AAGGCTAT S520 157 TCCCTGGG Unknown GCGTAAGA E517,S517,[N|S|E]517 157 CTCTTTTC Unknown CTCTCTAT E502,S502,[N|S|E]502 156 TTAGGCGC Unknown CTCTCTAT E502,S502,[N|S|E]502 156 CGTACTAG N702 AAGGCTAG S520 156 AAGGGGGG Unknown GGGGGCGG Unknown 156 TAGGCATG N706 TAGAATCG Unknown 156 GGACTCCT N705 ACGTCTAT Unknown 156 TCTCTACA Unknown AAGAGTAT Unknown 156 GGGGAGCG Unknown GGGGGGGG Unknown 155 TAAGGCGA N701 AAGGGGTC Unknown 155 GGGGGGCG Unknown GGAGGCGG Unknown 155 GGACTCCT N705 GAGCATTC Unknown 155 CGTAATCT Unknown AAGGCTAT S520 155 TAAGGCGA N701 TCTTATTC Unknown 155 TAAGAAGA Unknown CTCTCTAT E502,S502,[N|S|E]502 155 CTCTCTAC N707 ACGGCTTA Unknown 155 TCCTGTGC N704 GCGTAGGA E517,N719,S517,[N|S|E]517 155 CTCTCTAC N707 CCCTCTCT Unknown 155 GGACTCCT N705 AAGATTCG Unknown 155 TCCTGAGC N704 GCGTAGAC Unknown 155 ATCTCGTA Unknown TCGACTAG S513 155 CTCTCTAC N707 GTGGAGTA Unknown 155 GGGGGGCG Unknown GGCCGGGG Unknown 155 GGGGGGGG Unknown GGCGGGCG Unknown 155 CTCATCTC Unknown TCGACTAG S513 155 AGGAAGTG Unknown AAGGAGTA S507,[N|S|E]507 154 CGTACTAG N702 AAGGGTAT S520 154 GGATCTCG Unknown AAGGCTAT S520 154 CTCCTCCC Unknown AAGGAGTA S507,[N|S|E]507 154 CCTCTCTC Unknown CTCTCTAT E502,S502,[N|S|E]502 154 GCGGGGGG Unknown GGATGCGG Unknown 154 AAAAAACA Unknown AAGGAGTA S507,[N|S|E]507 154 CGTACTAG N702 AAGGTTAT S520 154 GGGCGGCG Unknown GGACGCGG Unknown 154 TCCCAACT Unknown GAGCCTTA S521 154 GGACTCCT N705 GAGCTTTA S521 154 GGACTCCT N705 AATCCTAT Unknown 153 AATGAGTA S507,[N|S|E]507 AAGGAGTA S507,[N|S|E]507 153 TCCTGAAG Unknown GCGTAAGA E517,S517,[N|S|E]517 153 GGGGGGTG Unknown GGGCGGGG Unknown 153 GGGGGGCG Unknown GGCCGAGG Unknown 153 TAACGAAT Unknown AAGGAGTA S507,[N|S|E]507 152 GGGGACTT Unknown TATCCTCT E503,S503,[N|S|E]503 152 CTTACTAG N702,S518 GAGCCTTA S521 152 GGGGGGGG Unknown GCGGGCGG Unknown 152 GGGGGGTG Unknown GGCGGGGG Unknown 152 ACGGGGGG Unknown GGGTGGGG Unknown 152 TCTCTACA Unknown TCGTAAGA E517,S517,[N|S|E]517 152 GGACCCCC Unknown AAGGCTAT S520 152 CTCTCTAC N707 ACGGAGAA Unknown 152 CTCTTAAT Unknown GCGTAAGA E517,S517,[N|S|E]517 152 AAGGGGGG Unknown GGCAGGGG Unknown 152 CTCTCTAC N707 TCTCTTTC Unknown 151 AGGGGGGG Unknown GGAAGAGG Unknown 151 GGGGAGGG Unknown GGACGCGG Unknown 151 ACGGGGGG Unknown GGATGAGG Unknown 151 CGTACATC Unknown AAGGCTAT S520 151 GGGGGGGG Unknown GGCAGCGC Unknown 151 TCCTACAT Unknown GCGTAAGA E517,S517,[N|S|E]517 151 GGGGCGAG Unknown GGGGGGGG Unknown 151 CCTCTCCT D503 CTCTCTAT E502,S502,[N|S|E]502 150 GGGGGGGG Unknown GGCGTGGG Unknown 150 CTCTCTAC N707 CGAACTGA Unknown 150 CTCTCTAC N707 CCGTCGGC Unknown 150 CTCCCCCC Unknown AAGGAGTA S507,[N|S|E]507 150 CTCTCTAC N707 TCGGCAGC Unknown 149 CCTTCCTC Unknown AAGGAGTA S507,[N|S|E]507 149 TCGGGGGG Unknown GGGAGGGG Unknown 149 TCTCTCCT S511 TATCCTCT E503,S503,[N|S|E]503 149 ACGGGGGG Unknown GGCCGGGG Unknown 149 GGGCTGGG Unknown GGGGGGGG Unknown 149 TCTCTATC Unknown AAGGAGTA S507,[N|S|E]507 149 TCCTGACA Unknown TCGTAAGA E517,S517,[N|S|E]517 149 ACTAAATG Unknown GAGCCTTA S521 149 GTCCTCCT Unknown TATCCTCT E503,S503,[N|S|E]503 149 GGGCGGGG Unknown GGGCGCGG Unknown 149 GGAATCTC Unknown AAGGCTAT S520 148 TCGGGGGG Unknown GGAGGGGG Unknown 148 TCCTGAGC N704 GCGGTAAG Unknown 148 CGTACTAG N702 GAGCATTT Unknown 148 GGGGGGGG Unknown GGCCGGGC Unknown 148 TCCTGAGC N704 TCGTAAGG Unknown 147 CTCTCTAC N707 AAGGGCAG Unknown 147 GGGGGGGG Unknown GGCCGAGC Unknown 147 AAGGGGGG Unknown GGACGCGG Unknown 147 GGGCCCCT Unknown AAGGCTAT S520 147 GACCCTAT Unknown AAGGCTAT S520 147 CTTCTCAT Unknown AAGGAGTA S507,[N|S|E]507 147 ACGAAGTG Unknown AAGGCTAT S520 147 CTCTCTAC N707 TCGTAAAT Unknown 146 CGTACTAG N702 GAGGCTTA S521 146 CTCTCTAC N707 GAGGGGTA Unknown 146 ACGAAGTG Unknown GGAAGCGG Unknown 146 CGAACTAG N702 AAGGCTAT S520 146 CGTATTAG N702 AAGGCTAT S520 146 AAGGCGAT S520 AAGGAGTA S507,[N|S|E]507 146 GGACTCCT N705 ACAGCTAT Unknown 145 TAAGGATC S521 AAGGAGTA S507,[N|S|E]507 145 GGCCTCCT N705 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 145 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/ambiguous/expected.txt ================================================ sample_name expected_barcode_1 expected_barcode_2 expected_barcode_1_name expected_barcode_2_name expected_barcodes_read_count guessed_barcode_1 guessed_barcode_2 guessed_barcode_1_name guessed_barcode_2_name guessed_barcodes_read_count match_type G4509.1_180615 TAGGCATG GAGCCTTA BI7H12,N706 S521 447585 alternative_indices_uncertain G4439.1_180615 CGTACTAG GAGCCTTA BI7H07,N702 S521 698370 alternative_indices_uncertain G4438.1_180615 CAGAGAGG GCGTAAGA BI7A06,N708 E517,S517,[N|S|E]517 125735 alternative_indices_uncertain G4762.2_180615 CGTACTAG TCGACTAG BI7H07,N702 S513 63465 alternative_indices_uncertain G5748.1_180615 TAGGCATG TAGATCGC BI7H12,N706 BI5A06,[N|S|E]501 469572 alternative_indices_uncertain G5413.1_180615 TAGGCATG AGAGTAGA BI7H12,N706 BI5G06,E504,[N|S|E]504 0 alternative_indices_uncertain ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/ambiguous/metrics.txt ================================================ ## htsjdk.samtools.metrics.StringHeader # ExtractIlluminaBarcodes BASECALLS_DIR=/tmp/tmp.BlCr1Hi364/Data/Intensities/BaseCalls OUTPUT_DIR=/tmp/tmp-illumina-illumina_demux-s_l2zlkg/extracted_barcodes-7e8qlzo5 LANE=2 READ_STRUCTURE=101T8B8B101T BARCODE_FILE=/tmp/tmp-illumina-illumina_demux-s_l2zlkg/barcodeData.HHK7CBCX2.28b1b6msw.txt METRICS_FILE=metrics.txt MAX_MISMATCHES=1 MINIMUM_BASE_QUALITY=10 MINIMUM_QUALITY=10 NUM_PROCESSORS=0 MIN_MISMATCH_DELTA=1 MAX_NO_CALLS=2 COMPRESS_OUTPUTS=false VERBOSITY=INFO QUIET=false VALIDATION_STRINGENCY=STRICT COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json USE_JDK_DEFLATER=false USE_JDK_INFLATER=false ## htsjdk.samtools.metrics.StringHeader # Started on: Thu Sep 06 15:00:30 UTC 2018 ## METRICS CLASS picard.illumina.ExtractIlluminaBarcodes$BarcodeMetric BARCODE BARCODE_WITHOUT_DELIMITER BARCODE_NAME LIBRARY_NAME READS PF_READS PERFECT_MATCHES PF_PERFECT_MATCHES ONE_MISMATCH_MATCHES PF_ONE_MISMATCH_MATCHES PCT_MATCHES RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_PCT_MATCHES PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_NORMALIZED_MATCHES GGACTCCT-GAGCCTTA GGACTCCTGAGCCTTA G4508.1_180615 G4508.1_180615 1513398 1500642 1426282 1416509 87116 84133 0.014648 0.036633 0.014782 0.036663 0.259294 TAGGCATG-GAGCCTTA TAGGCATGGAGCCTTA G4509.1_180615 G4509.1_180615 447585 443680 421320 418341 26265 25339 0.004332 0.010834 0.004371 0.01084 0.076663 CGTACTAG-GAGCCTTA CGTACTAGGAGCCTTA G4439.1_180615 G4439.1_180615 698370 691798 656466 651475 41904 40323 0.006759 0.016905 0.006815 0.016901 0.119535 GGACTCCT-AAGGCTAT GGACTCCTAAGGCTAT G4489.1_180615 G4489.1_180615 6551371 6490595 6430062 6377484 121309 113111 0.063409 0.158582 0.063936 0.158573 1.121502 CGTACTAG-AAGGCTAT CGTACTAGAAGGCTAT G4482.1_180615 G4482.1_180615 1049237 1039060 1027266 1018608 21971 20452 0.010155 0.025398 0.010235 0.025386 0.179538 TCCTGAGC-GCGTAAGA TCCTGAGCGCGTAAGA G3773.1_180615 G3773.1_180615 5209877 5161381 4920943 4882130 288934 279251 0.050425 0.12611 0.050843 0.126099 0.891828 CAGAGAGG-GCGTAAGA CAGAGAGGGCGTAAGA G4438.1_180615 G4438.1_180615 125735 124542 118849 117921 6886 6621 0.001217 0.003044 0.001227 0.003043 0.021519 CTCTCTAC-GCGTAAGA CTCTCTACGCGTAAGA G4121.1_180615 G4121.1_180615 1962258 1943116 1842708 1828048 119550 115068 0.018992 0.047498 0.019141 0.047473 0.335748 CTCTCTAC-TCGACTAG CTCTCTACTCGACTAG G4323.1_180615 G4323.1_180615 4342192 4303172 4252523 4219208 89669 83964 0.042027 0.105106 0.042389 0.105132 0.74354 CGTACTAG-TCGACTAG CGTACTAGTCGACTAG G4762.2_180615 G4762.2_180615 63465 62876 62097 61604 1368 1272 0.000614 0.001536 0.000619 0.001536 0.010864 TAAGGCGA-AAGGAGTA TAAGGCGAAAGGAGTA G5208.2_180615 G5208.2_180615 4224502 4194555 4149242 4123682 75260 70873 0.040888 0.102258 0.041319 0.102478 0.724772 CTCTCTAC-AAGGAGTA CTCTCTACAAGGAGTA G4220.1_180615 G4220.1_180615 41312326 40931185 40566981 40221276 745345 709909 0.399852 1 0.403197 1 7.072446 TAGGCATG-AGAGTAGA TAGGCATGAGAGTAGA G5413.1_180615 G5413.1_180615 0 0 0 0 0 0 0 0 0 0 0 GGACTCCT-TATCCTCT GGACTCCTTATCCTCT G5585.1_180615 G5585.1_180615 12380244 12269547 12141046 12045590 239198 223957 0.119825 0.299674 0.120862 0.29976 2.120039 CTCTCTAC-CTCTCTAT CTCTCTACCTCTCTAT G5784.1_180615 G5784.1_180615 9587474 9490089 9408832 9323748 178642 166341 0.092795 0.232073 0.093483 0.231855 1.63978 TAAGGCGA-CTCTCTAT TAAGGCGACTCTCTAT G5767.1_180615 G5767.1_180615 9349304 9277016 9173332 9112595 175972 164421 0.09049 0.226308 0.091384 0.226649 1.602964 TAGGCATG-TAGATCGC TAGGCATGTAGATCGC G5748.1_180615 G5748.1_180615 469572 462806 458368 452686 11204 10120 0.004545 0.011366 0.004559 0.011307 0.079968 NNNNNNNN-NNNNNNNN NNNNNNNNNNNNNNNN 4032103 3130582 0 0 0 0 0.039026 0.0976 0.030838 0.076484 0 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/few_assigned/barcodes.txt ================================================ Barcode1 Likely_Index_Names1 Barcode2 Likely_Index_Names2 Count GTAGAGGA N712 AGAGTAGA E504,[N|S|E]504 18969580 AGGCAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 12459537 TCCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 10788903 TAAGGCGA N701 GTAAGGAG E505,S505,[N|S|E]505 10436673 GGACTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 9941054 GGACTCCT N705 AAGGAGTA S507,[N|S|E]507 8851019 AAGAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 8677012 AGGCAGAA N703 AAGGAGTA S507,[N|S|E]507 8554648 TAAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 8294319 TAAGGCGA N701 AAGGAGTA S507,[N|S|E]507 7919201 CGTACTAG N702 TATCCTCT E503,S503,[N|S|E]503 7741249 TAGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 7054916 TAGGCATG N706 GTAAGGAG E505,S505,[N|S|E]505 7046412 TCCTGAGC N704 GTAAGGAG E505,S505,[N|S|E]505 6941251 CTCTCTAC N707 AGAGTAGA E504,[N|S|E]504 6872843 TCCTGAGC N704 AAGGAGTA S507,[N|S|E]507 6445936 TAGGCATG N706 AAGGAGTA S507,[N|S|E]507 6293965 CGAGGCTG N710 AGAGTAGA E504,[N|S|E]504 6259554 GGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 6067309 CGTACTAG N702 AAGGAGTA S507,[N|S|E]507 6064383 GTAGAGGA N712 ACTGCATA E506,S506,[N|S|E]506 5889232 AAGAGGCA N711 AGAGTAGA E504,[N|S|E]504 5812472 CGTACTAG N702 GTAAGGAG E505,S505,[N|S|E]505 5613671 GCTACGCT N709 ACTGCATA E506,S506,[N|S|E]506 5383537 CAGAGAGG N708 ACTGCATA E506,S506,[N|S|E]506 4563539 CGAGGCTG N710 ACTGCATA E506,S506,[N|S|E]506 4398418 CTCTCTAC N707 ACTGCATA E506,S506,[N|S|E]506 4355047 CAGAGAGG N708 CTAAGCCT S508,[N|S|E]508 2772738 CAGAGAGG N708 AGAGTAGA E504,[N|S|E]504 1638249 CTCTCTAC N707 CTAAGCCT S508,[N|S|E]508 1456663 GCTACGCT N709 CTAAGCCT S508,[N|S|E]508 1331747 AGGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 1232119 GCTACGCT N709 AGAGTAGA E504,[N|S|E]504 873181 GTAGAGGA N712 AGAGTAGG E504,[N|S|E]504 626046 CGAGGCTG N710 CTAAGCCT S508,[N|S|E]508 557897 AAGAGGCA N711 ACTGCATT E506,S506,[N|S|E]506 386797 CTCTCTAC N707 ACTGCATT E506,S506,[N|S|E]506 360546 CGAGGCTG N710 AGAGTAGG E504,[N|S|E]504 270716 CGAGGCTG N710 ACTGCATT E506,S506,[N|S|E]506 266888 GTAGAGGA N712 ACTGCATT E506,S506,[N|S|E]506 238172 GTAGAGGA N712 AGCGTAGA E504,[N|S|E]504 233638 GGACTCCT N705 GTACGGAG E505,S505,[N|S|E]505 225387 AAGAGGCA N711 ACTGCATC E506,S506,[N|S|E]506 221657 GGACTCCT N705 AAGGAGTT S507,[N|S|E]507 217573 GTAGAGGA N712 CGAGTAGA E504,[N|S|E]504 214926 TAAGGCGA N701 GTACGGAG E505,S505,[N|S|E]505 213686 GTAGAGGA N712 AGAGTAGC E504,[N|S|E]504 208128 GCTACGCT N709 ACTGCATT E506,S506,[N|S|E]506 205385 TAAGGCGA N701 AAGGAGTT S507,[N|S|E]507 191687 AAGAGGCA N711 AGAGTAGG E504,[N|S|E]504 190290 AGGCAGAA N703 AAGGAGTT S507,[N|S|E]507 190116 AGGCAGAA N703 GTACGGAG E505,S505,[N|S|E]505 186013 CAGAGAGG N708 CTAAGCCC S508,[N|S|E]508 184597 GGACTCCT N705 GTCAGGAG E505,S505,[N|S|E]505 180173 TAGGCATG N706 AAGGAGTT S507,[N|S|E]507 175949 CAGAGAGG N708 ACTGCATT E506,S506,[N|S|E]506 168260 AGGCAGAA N703 AAGGAGTC S507,[N|S|E]507 165041 CTCTCTAC N707 AGAGTAGG E504,[N|S|E]504 164593 CGTACTAG N702 AAGGAGTT S507,[N|S|E]507 163864 TCCTGAGC N704 AAGGAGTT S507,[N|S|E]507 163482 CTCTCTAC N707 ACTGCATC E506,S506,[N|S|E]506 148474 GTAGAGGA N712 AGAGTAGT E504,[N|S|E]504 148334 TAAGGCGA N701 AAGGAGTC S507,[N|S|E]507 140453 TAAGGCGA N701 GTCAGGAG E505,S505,[N|S|E]505 140291 GGACTCCT N705 CAGGAGTA S507,[N|S|E]507 136568 GTAGAGGA N712 AGAGTCGA E504,[N|S|E]504 131858 AGGCAGAA N703 GTCAGGAG E505,S505,[N|S|E]505 124584 AGGCAGAA N703 AAGGAGTG S507,[N|S|E]507 123558 TCCTGAGC N704 GTACGGAG E505,S505,[N|S|E]505 122660 TAGGCATG N706 GTACGGAG E505,S505,[N|S|E]505 119478 GGACTCCT N705 AAGGAGTC S507,[N|S|E]507 115875 AAGAGGCA N711 CCTGCATA E506,S506,[N|S|E]506 113851 GTAGAGGA N712 AGTGTAGA E504,[N|S|E]504 107267 TCCTGAGC N704 TATCCTCC E503,S503,[N|S|E]503 106563 CTCTCTAC N707 AGCGTAGA E504,[N|S|E]504 103472 TCCTGAGC N704 AAGGAGTC S507,[N|S|E]507 102685 CTCTCTAC N707 AGAGTAGC E504,[N|S|E]504 102497 CGTACTAG N702 GTACGGAG E505,S505,[N|S|E]505 101557 TAAGGCGA N701 CAGGAGTA S507,[N|S|E]507 99162 TAAGGCGA N701 TATCCTCC E503,S503,[N|S|E]503 97311 CTCTCTAC N707 CGAGTAGA E504,[N|S|E]504 92600 CAGAGAGG N708 AGAGTAGG E504,[N|S|E]504 91279 GTAGAGGA N712 AGGGTAGA E504,[N|S|E]504 89196 AAGAGGCA N711 CGAGTAGA E504,[N|S|E]504 81433 GTAGAGGA N712 ACTGCATC E506,S506,[N|S|E]506 80169 CGTACTAG N702 AAGGAGTC S507,[N|S|E]507 79728 TAAGGCGA N701 AAGGAGTG S507,[N|S|E]507 79659 CGTACTAG N702 TATCCTCC E503,S503,[N|S|E]503 79474 CGAGGCTG N710 CGAGTAGA E504,[N|S|E]504 78976 GTAGAGGA N712 GGAGTAGA E504,[N|S|E]504 78931 TAGGCATG N706 AAGGAGTC S507,[N|S|E]507 73651 AAGAGGCA N711 AATGCATA E506,S506,[N|S|E]506 71902 CTCTCTAC N707 CTAAGCCC S508,[N|S|E]508 71801 TAGGCATG N706 GTCAGGAG E505,S505,[N|S|E]505 71626 CAGAGAGG N708 ACTGCATC E506,S506,[N|S|E]506 71328 TAGGCATG N706 CAGGAGTA S507,[N|S|E]507 69881 TCCTGAGC N704 CAGGAGTA S507,[N|S|E]507 68954 AAGAGGCA N711 TGCATATC Unknown 67736 CTCTCTAC N707 AGAGTAGT E504,[N|S|E]504 66829 AGGCAGAA N703 AAGAAGTA S507,[N|S|E]507 66820 AGGCAGAA N703 CAGGAGTA S507,[N|S|E]507 65181 AGGCAGAA N703 GTAAGTAG E505,S505,[N|S|E]505 64589 CGTACTAG N702 AAGGAGTG S507,[N|S|E]507 63621 GCTACGCT N709 CTAAGCCC S508,[N|S|E]508 62214 AAGAGGCA N711 ACTGCCTA E506,S506,[N|S|E]506 62182 GGACTCCT N705 ACGGAGTA S507,[N|S|E]507 61738 TCCTGAGC N704 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 61391 AGGCAGAA N703 GTAAGGCG E505,S505,[N|S|E]505 59196 CGAGGCTG N710 AGCGTAGA E504,[N|S|E]504 58458 GTAGAGGA N712 AGAGTAAT Unknown 58274 GTAGAGGA N712 CGAGTAGG Unknown 57584 CTCTCTAC N707 AGAGTCGA E504,[N|S|E]504 57488 CGTACTAG N702 CAGGAGTA S507,[N|S|E]507 57112 GTAGAGGA N712 GGAGTAGG Unknown 55826 CTCTCTAC N707 ACTGCCTA E506,S506,[N|S|E]506 55678 TCCTGAGC N704 GTCAGGAG E505,S505,[N|S|E]505 55015 AGGCAGAA N703 GTAAGAGT Unknown 54491 GGACTCCT N705 AAGGAGTG S507,[N|S|E]507 54355 TCCTGAGC N704 AAGGAGTG S507,[N|S|E]507 53682 TAAGGCGA N701 TATCATCT E503,S503,[N|S|E]503 52580 CGAGGCTG N710 ACTGCATC E506,S506,[N|S|E]506 51416 GGACTCCT N705 GTAAGAGT Unknown 51103 CGAGGCTG N710 AGAGTAGC E504,[N|S|E]504 50988 GTAGAGAA N712 AGAGTAGA E504,[N|S|E]504 49686 TAGGCATG N706 AAGGAGTG S507,[N|S|E]507 49422 TCCTGAGC N704 TATCATCT E503,S503,[N|S|E]503 49332 TAAGGCGA N701 GTAAGGCG E505,S505,[N|S|E]505 49172 TAGGCATG N706 TATCCTCC E503,S503,[N|S|E]503 49098 CGAGGCTG N710 AGAGTAGT E504,[N|S|E]504 48714 GTAGAGGA N712 TGCATATC Unknown 47742 GGACTCCT N705 GTAGGAGT Unknown 47536 GTAGAGGA N712 AGAGTGAT Unknown 46566 AGGCAGAA N703 GTAAGCAG E505,S505,[N|S|E]505 46306 AAGAGGCA N711 AGAGTAGC E504,[N|S|E]504 46260 GTAGAGGA N712 GGAGTAGC Unknown 45845 TAAGGCGA N701 ACGGAGTA S507,[N|S|E]507 45180 CCCCCCCC Unknown CCCCCCCC Unknown 45134 GGACTCCT N705 TATCCTCC E503,S503,[N|S|E]503 44982 AGGCAGAA N703 GTAGGAGT Unknown 44194 CTCTCTAC N707 CCTGCATA E506,S506,[N|S|E]506 43488 AGGCAGAA N703 AAGCAGTA S507,[N|S|E]507 43031 AGGCAGAA N703 AAGGAGAA S507,[N|S|E]507 42493 TAAGGCGA N701 AAGGAGAA S507,[N|S|E]507 42345 TAGGCATG N706 GTAAGAGT Unknown 41389 GTAGAGGA N712 ACTGCCTA E506,S506,[N|S|E]506 41032 TAAGGCGA N701 GTAAGAGT Unknown 40888 CGTACTAA N702 TATCCTCT E503,S503,[N|S|E]503 40388 TAAGGCGA N701 GTGAGGAG E505,S505,[N|S|E]505 40159 GGACTCCT N705 GTGAGGAG E505,S505,[N|S|E]505 40099 GCTACGCT N709 ACTGCATC E506,S506,[N|S|E]506 40023 GTAGAGGA N712 AGAGTGGA E504,[N|S|E]504 39767 TAAGGCGA N701 GTAAGCAG E505,S505,[N|S|E]505 39438 GTAGAGGA N712 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 39359 AAGAGGCA N711 AGCGTAGA E504,[N|S|E]504 39049 CAGAGAGG N708 CTACGCCT D505,S508,[N|S|E]508 38988 AGGCAGAA N703 GAAAGGAG E505,S505,[N|S|E]505 38945 CGAGGCTG N710 AGTGTAGA E504,[N|S|E]504 38937 GCTACGCT N709 ACTGCCTA E506,S506,[N|S|E]506 38829 TAGGCATG N706 GTAGGAGT Unknown 38596 GGACTCCT N705 GTAAGCAG E505,S505,[N|S|E]505 38592 CGAGGCTG N710 CCTGCATA E506,S506,[N|S|E]506 38398 TAAGGCGA N701 TATCCTAT E503,S503,[N|S|E]503 38309 TCCTGAGC N704 GTAAGAGT Unknown 38210 TAGGCATG N706 TATCATCT E503,S503,[N|S|E]503 37995 CGAGGCTG N710 CTAAGCCC S508,[N|S|E]508 37293 CTCTCTAC N707 TGCATATC Unknown 37154 AGGCAGAA N703 AGGAGTAT Unknown 36847 CGAGGCTG N710 AGAGTCGA E504,[N|S|E]504 36812 AAGAGGCA N711 AGAGTAGT E504,[N|S|E]504 36682 TCCTGAGC N704 TATCCTTT E503,S503,[N|S|E]503 36459 CGTACTAG N702 ACGGAGTA S507,[N|S|E]507 36349 TCCTGAGC N704 ACGGAGTA S507,[N|S|E]507 35782 CAGAGAGG N708 TGCATATC Unknown 35732 TCCTGAGC N704 TATCGTCT E503,S503,[N|S|E]503 35647 GGACTCCT N705 AGGAGTAT Unknown 35638 AGGCAGAA N703 ACTGCATA E506,S506,[N|S|E]506 35587 GTAGAGGA N712 GGAGTCGC Unknown 35485 CGTACTAG N702 TATCATCT E503,S503,[N|S|E]503 35424 GTAGAGGA N712 AGAGAGAT Unknown 35137 GTAGAGGA N712 GAGTAGAT Unknown 35081 TAAGGCGA N701 AAGGAGGA S507,[N|S|E]507 35067 CGTACTAG N702 GTAAGGCG E505,S505,[N|S|E]505 35057 TCCTGAGC N704 TATCCTAT E503,S503,[N|S|E]503 34844 CGTACTAG N702 AAGGCGTA S507,[N|S|E]507 34794 TAGGCATG N706 ACGGAGTA S507,[N|S|E]507 34623 AGGCAGAA N703 TATCCTCC E503,S503,[N|S|E]503 34596 GGACTCCT N705 GTAAGGCG E505,S505,[N|S|E]505 34132 CTCTCTAC N707 AGTGTAGA E504,[N|S|E]504 33760 CGAGGCTG N710 TGCATATC Unknown 33629 GTAGAGGA N712 AATGCATA E506,S506,[N|S|E]506 33576 CAGAGAGG N708 ACTGCCTA E506,S506,[N|S|E]506 33456 CGAGGCTG N710 AGGGTAGA E504,[N|S|E]504 33103 GCTACGCT N709 CCTGCATA E506,S506,[N|S|E]506 33022 TAAGGCGA N701 GTAAGTAG E505,S505,[N|S|E]505 32937 TAAGGCGA N701 ACTGCATA E506,S506,[N|S|E]506 32801 CTCTCTAA E502,N707,S502,[N|S|E]502 AGAGTAGA E504,[N|S|E]504 32716 TAAGGCGA N701 GTAGGAGT Unknown 32667 GGACTCCT N705 ACTGCATA E506,S506,[N|S|E]506 32505 CGAGGCTG N710 ACTGCCTA E506,S506,[N|S|E]506 32291 TCCTGAGC N704 GTAGGAGT Unknown 32277 CTCTCTAC N707 CTACGCCT D505,S508,[N|S|E]508 32275 AGGCAGAA N703 GTAAGAAG E505,S505,[N|S|E]505 32224 AAGAGGCA N711 GCTGCATC Unknown 32059 CGTACTAA N702 GTAAGGAG E505,S505,[N|S|E]505 32053 TAGGCATG N706 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 31411 GGACTCCT N705 AAGCAGTA S507,[N|S|E]507 31403 TAAGGCGA N701 AGGAGTAT Unknown 31326 GGACTCCT N705 TATCATCT E503,S503,[N|S|E]503 31093 TAAGGCGA N701 AAGAAGTA S507,[N|S|E]507 30686 TAAGGCGA N701 TATCGTCT E503,S503,[N|S|E]503 30656 GCTACGCT N709 TGCATATC Unknown 30626 AGGCAGAA N703 AAGTAGTA S507,[N|S|E]507 30487 GAAGAGGA N712 AGAGTAGA E504,[N|S|E]504 30364 GTAGAGGA N712 AGAGTCGC Unknown 30349 AGGCAGAA N703 ACGGAGTA S507,[N|S|E]507 30341 GTAGAGGA N712 AGAGTTGA E504,[N|S|E]504 30263 GGACTCCT N705 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 30088 GTAGAGGA N712 CCTGCATA E506,S506,[N|S|E]506 29975 CAGAGAGG N708 AATGCATA E506,S506,[N|S|E]506 29941 CGTACTAG N702 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 29873 GCTACGCT N709 AATGCATA E506,S506,[N|S|E]506 29683 AGGCAGAA N703 GTGAGGAG E505,S505,[N|S|E]505 29595 CGTACTAA N702 AAGGAGTA S507,[N|S|E]507 29329 CGTACTAG N702 GTCAGGAG E505,S505,[N|S|E]505 29326 GTAGAGGA N712 AGAGCAGA E504,[N|S|E]504 29282 TAAGGCGA N701 GTAGGGAG E505,S505,[N|S|E]505 29224 TAGGCGAA Unknown GTAAGGAG E505,S505,[N|S|E]505 29182 GTAGAGGA N712 AGAGTAAA E504,[N|S|E]504 29170 CGTACTAG N702 GTAAGTAG E505,S505,[N|S|E]505 29097 TAAGGCGA N701 TATCCTTT E503,S503,[N|S|E]503 29073 AGGCAGAA N703 AAGGAGGA S507,[N|S|E]507 29072 TAAGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 28950 GTAGAGGA N712 AGACTAGA E504,[N|S|E]504 28821 TAAGGCGA N701 AAGGCGTA S507,[N|S|E]507 28634 TAGGCATG N706 GTGAGGAG E505,S505,[N|S|E]505 28267 TCCTGAGC N704 GTAAGGCG E505,S505,[N|S|E]505 27857 TAAGGCGA N701 GAGGAGTA S507,[N|S|E]507 27820 TAGGCATG N706 AGGAGTAT Unknown 27796 AAGAGGCA N711 ACTGCATG E506,S506,[N|S|E]506 27778 TCCTGAGC N704 ACTGCATA E506,S506,[N|S|E]506 27715 GTAGAGGA N712 AAAGTAGA E504,[N|S|E]504 27686 GGACTCCT N705 AAGAAGTA S507,[N|S|E]507 27650 TAAGGCGA N701 AAGCAGTA S507,[N|S|E]507 27572 TCCTGAGC N704 AAGGCGTA S507,[N|S|E]507 27248 GTACTAGA Unknown TATCCTCT E503,S503,[N|S|E]503 27095 CGTACTAG N702 GTAAGAGT Unknown 27094 AGGCAGAA N703 GTAGGAGG Unknown 27092 TAGGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 27026 AGGCAGAA N703 AAGGCGTA S507,[N|S|E]507 26912 TAAGGCGA N701 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 26873 TAAGCGAA Unknown GTAAGGAG E505,S505,[N|S|E]505 26791 AAGAGGCA N711 GCTGCATA E506,S506,[N|S|E]506 26770 CGTACTAG N702 TATCCTTT E503,S503,[N|S|E]503 26756 AAGAGGCA N711 CCTGCATC Unknown 26751 TAAGGCGA N701 GATCCTCT E503,S503,[N|S|E]503 26615 TAAGGCGA N701 GAGGAGTC Unknown 26457 CTCTCTAC N707 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 26053 AGGCAGAA N703 GTAAGGAT E505,S505,[N|S|E]505 25976 GTAGAGGA N712 CTGCGGCG Unknown 25765 TCCTGAGC N704 AATCCTCT E503,S503,[N|S|E]503 25735 GGACTCCT N705 AAGGCGTA S507,[N|S|E]507 25638 AAGAGGCA N711 AGTGTAGA E504,[N|S|E]504 25628 GGACTCCT N705 GTAAGTAG E505,S505,[N|S|E]505 25481 TAGGCATG N706 TATCCTTT E503,S503,[N|S|E]503 25330 GGACTCCT N705 GTAAGGAT E505,S505,[N|S|E]505 25329 GGACTCCT N705 GTAGGGAG E505,S505,[N|S|E]505 25312 AAGAGGCA N711 CTGCATAT Unknown 25157 CGTACTAG N702 AATCCTCT E503,S503,[N|S|E]503 25047 GGACTCCT N705 GTAAGGAA E505,S505,[N|S|E]505 24977 GTAAGGAA E505,S505,[N|S|E]505 AGAGTAGA E504,[N|S|E]504 24751 TAAGCGAA Unknown AAGGAGTA S507,[N|S|E]507 24487 GTAGAGGA N712 AGAATAGA E504,[N|S|E]504 24396 GTAGAGGA N712 AGATAGAT Unknown 24096 TAGGCATG N706 TATCCTAT E503,S503,[N|S|E]503 24090 TTAGAGGA N712 AGAGTAGA E504,[N|S|E]504 23962 TAGGCGAA Unknown AAGGAGTA S507,[N|S|E]507 23915 CGTACTAG N702 AGGAGTAT Unknown 23839 GTAGAGGA N712 AGAGAAGA A503,E504,[N|S|E]504 23611 CGTACTAG N702 TATCCTAT E503,S503,[N|S|E]503 23584 AGAGGCAA Unknown ACTGCATA E506,S506,[N|S|E]506 23573 TAAGGCGA N701 GTTAGGAG E505,S505,[N|S|E]505 23568 AAGAGGCA N711 AGAGCAGA E504,[N|S|E]504 23442 CGTACTAG N702 ACTGCATA E506,S506,[N|S|E]506 23354 TAAGGCGA N701 GTAGGAGG Unknown 23286 AGGCAGAA N703 GAGGAGTC Unknown 23219 GGACTCCT N705 AAGGAGAA S507,[N|S|E]507 23130 TGACTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 22989 TAGGCATG N706 TATCGTCT E503,S503,[N|S|E]503 22948 TCCTGAGC N704 AGGAGTAT Unknown 22925 CTCTCTAA E502,N707,S502,[N|S|E]502 ACTGCATA E506,S506,[N|S|E]506 22830 TAAGGCGA N701 GTACGGCG Unknown 22825 TAGGCATG N706 GTAAGTAG E505,S505,[N|S|E]505 22800 CGAGGCTG N710 AATGCATA E506,S506,[N|S|E]506 22797 TAAGGCGA N701 GTAAGAAG E505,S505,[N|S|E]505 22773 GTAGAGGA N712 AGCGTAGC Unknown 22769 TGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 22711 TCCTGAGC N704 TATCTCTT Unknown 22682 TCCTGAGC N704 TTTCCTCT E503,S503,[N|S|E]503 22581 CGTACTAG N702 AAGGAGAA S507,[N|S|E]507 22544 CGTACTAG N702 TATCGTCT E503,S503,[N|S|E]503 22414 TAGGCATG N706 GTAAGGCG E505,S505,[N|S|E]505 22225 CGTACTAG N702 GTAGGAGT Unknown 22223 GGACTCCT N705 GTTAGGAG E505,S505,[N|S|E]505 22216 AGGCAGAA N703 GTAGGGAG E505,S505,[N|S|E]505 22150 TAAGGCGA N701 CTGCGGCG Unknown 22140 TAGGCATG N706 AAGAAGTA S507,[N|S|E]507 22125 GAGGCTGA Unknown AGAGTAGA E504,[N|S|E]504 22096 AAGAGGCA N711 ACAGCATA E506,S506,[N|S|E]506 21851 GGACTCCT N705 GAGGAGTA S507,[N|S|E]507 21766 TAAGGCGA N701 GTAAGGAT E505,S505,[N|S|E]505 21736 AAGAGGCA N711 ACTGAATA E506,S506,[N|S|E]506 21736 AGGCAGAA N703 GTAAAGAG E505,S505,[N|S|E]505 21724 AGGCAGAA N703 AAGGAGCA S507,[N|S|E]507 21722 AAGAGGCA N711 ACTACATA E506,S506,[N|S|E]506 21654 TACTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 21626 GTACTAGA Unknown AAGGAGTA S507,[N|S|E]507 21557 TCCTGAGC N704 AAGCAGTA S507,[N|S|E]507 21400 AGGCAGAA N703 AAGAGTAT Unknown 21384 GTAGAGAA N712 ACTGCATA E506,S506,[N|S|E]506 21331 AGGCAGAA N703 GTAAGGAA E505,S505,[N|S|E]505 21291 AAGAGGCA N711 AGAGTCGA E504,[N|S|E]504 21287 AAGAGGCA N711 AAAGTAGA E504,[N|S|E]504 21204 TCCTGAGC N704 ATCCTCTT Unknown 21089 GTAGAGGA N712 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 21061 CAGAGAGG N708 AGCGTAGA E504,[N|S|E]504 21056 TAGGCATG N706 GTAAGGAA E505,S505,[N|S|E]505 21041 GTAGAGGA N712 CGAGTAGC Unknown 20938 TCCTGAGC N704 GATCCTCT E503,S503,[N|S|E]503 20858 TAGGCATG N706 GTAAGGAT E505,S505,[N|S|E]505 20691 CTCTCTAC N707 ACAGTAGA E504,[N|S|E]504 20655 TCCTGACA Unknown TATCCTCT E503,S503,[N|S|E]503 20451 TAGGCATG N706 GTTAGGAG E505,S505,[N|S|E]505 20392 AGGCAGAA N703 GTAAGAGG Unknown 20386 AGGCAAAA N703 GTAAGGAG E505,S505,[N|S|E]505 20341 AAGAGGCA N711 CCTGCATT Unknown 20234 GGACTCCT N705 GAGGAGTC Unknown 20189 GTACTAGA Unknown GTAAGGAG E505,S505,[N|S|E]505 20155 GGACTCCT N705 TATCCTTT E503,S503,[N|S|E]503 20133 TCCTGAGC N704 CATCCTCT E503,S503,[N|S|E]503 20104 TCCTGAGC N704 AAGGAGGA S507,[N|S|E]507 20063 CTCTCTAC N707 AGAGTAAT Unknown 20048 TAAGGCGA N701 GTAAGGAA E505,S505,[N|S|E]505 20010 TCCTGAGC N704 AAGGAGAA S507,[N|S|E]507 20001 GGACTCCT N705 AAGAGTAT Unknown 19999 TAAGGCGA N701 AATCCTCT E503,S503,[N|S|E]503 19969 TCCTGAGC N704 GTAAGGAT E505,S505,[N|S|E]505 19949 CAGAGAGG N708 CTAAGCAT S508,[N|S|E]508 19842 GGACTCCT N705 TATCGTCT E503,S503,[N|S|E]503 19830 AGGCAGAA N703 GAGGAGTA S507,[N|S|E]507 19688 AGGCAGAA N703 AGAGTAGA E504,[N|S|E]504 19681 TAGGCATG N706 AATCCTCT E503,S503,[N|S|E]503 19667 TAAGGCGA N701 AGAGTAGA E504,[N|S|E]504 19660 TAGCATGA Unknown GTAAGGAG E505,S505,[N|S|E]505 19626 GGACTCCT N705 TATCCTAT E503,S503,[N|S|E]503 19615 TAAGGCGA N701 CTAAGCCT S508,[N|S|E]508 19414 TAGGCATG N706 GTAAGCAG E505,S505,[N|S|E]505 19406 TAGGCATG N706 AAGCAGTA S507,[N|S|E]507 19388 AGCAGAAA Unknown GTAAGGAG E505,S505,[N|S|E]505 19293 TCCTGAGC N704 GTAAGTAG E505,S505,[N|S|E]505 19285 AAGAGGCA N711 AGGGTAGA E504,[N|S|E]504 19234 TAGGCATG N706 AAGGCGTA S507,[N|S|E]507 19212 CGAGGCTG N710 GGAGTAGG Unknown 19097 AGGCAGAA N703 GTTAGGAG E505,S505,[N|S|E]505 19084 TAGCATGA Unknown TATCCTCT E503,S503,[N|S|E]503 19082 GGACTCCT N705 CAGGAGTC Unknown 19059 AGGCAGAA N703 GTACGGCG Unknown 18965 AGGCAGAA N703 AAGGAATA S507,[N|S|E]507 18824 TAGGCATG N706 GTAGGGAG E505,S505,[N|S|E]505 18816 GGACTCCT N705 CTAAGCCT S508,[N|S|E]508 18740 GTAGAGGA N712 AGGTAGAT Unknown 18733 TAGGCATG N706 ACTGCATA E506,S506,[N|S|E]506 18715 AGGCAGAA N703 CTAAGCCT S508,[N|S|E]508 18675 TCCTGAGC N704 AAGAGTAT Unknown 18613 AAGCAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 18573 GGACTCCT N705 AGAGTAGA E504,[N|S|E]504 18437 GTAGAGGA N712 GGAGTCGA Unknown 18398 GTAGAGGA N712 AGAGTATC Unknown 18350 TCCTGAGC N704 GTGAGGAG E505,S505,[N|S|E]505 18128 GTAGAGGA N712 ATAGTAGA E504,[N|S|E]504 18052 GGACTCCT N705 AAGGAGGA S507,[N|S|E]507 18009 GTAGAGGA N712 CGAGTCGA S513 18003 GTAGAGGA N712 GCTGCATA E506,S506,[N|S|E]506 17980 CGAGGCTG N710 CGAGTAGG Unknown 17942 AGGCAGAA N703 AAAGAGTA S507,[N|S|E]507 17934 AGGCAAAA N703 AAGGAGTA S507,[N|S|E]507 17843 AAGAGGCA N711 GCTGCCTC Unknown 17839 TCTCTACA Unknown AGAGTAGA E504,[N|S|E]504 17830 GTAGAGGA N712 CTGCATAT Unknown 17763 TAAGGCGA N701 TATCTCTT Unknown 17752 TCCTGAGC N704 CTAAGCCT S508,[N|S|E]508 17733 AAGAGGCA N711 CGAGTAGG Unknown 17700 AAGAGGCA N711 ACTGCGTA E506,S506,[N|S|E]506 17693 TCCTGAGC N704 AGAGTAGA E504,[N|S|E]504 17655 CAGAGAGA N708,S511 ACTGCATA E506,S506,[N|S|E]506 17653 CTCTCTAC N707 ATAGTAGA E504,[N|S|E]504 17579 CGTACTAG N702 GTAGGGAG E505,S505,[N|S|E]505 17561 TAAGGCGA N701 AAGAGTAT Unknown 17545 GCTACGCT N709 ACTGCGTA E506,S506,[N|S|E]506 17498 CGAGGCTG N710 AGAGTGGA E504,[N|S|E]504 17464 CGTACTAG N702 AAGGAGGA S507,[N|S|E]507 17427 GGACTCCT N705 GTACGGCG Unknown 17318 TAGGCATG N706 AAGGAGAA S507,[N|S|E]507 17250 GTAGAGGA N712 ACTGCGTA E506,S506,[N|S|E]506 17154 TCCTGAGC N704 AAGAAGTA S507,[N|S|E]507 17153 GAACTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 17126 TCCTGAGA D702,N704 TATCCTCT E503,S503,[N|S|E]503 17106 GTAGAGGA N712 AGAGTGGG Unknown 17068 AAGAGCAA Unknown ACTGCATA E506,S506,[N|S|E]506 17057 TCCTGAGC N704 GTAGGAGG Unknown 17025 CGTACTAG N702 AAGAAGTA S507,[N|S|E]507 17011 AAGAGGCA N711 GGAGTAGA E504,[N|S|E]504 17007 TAGCATGA Unknown AAGGAGTA S507,[N|S|E]507 16950 AAGAGGCA N711 AGAGAAGA A503,E504,[N|S|E]504 16908 CGAGGCTG N710 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 16857 GAGGCTGA Unknown ACTGCATA E506,S506,[N|S|E]506 16832 GGACTCCT N705 AAGTAGTA S507,[N|S|E]507 16817 GGACTCCT N705 ATGGAGTA S507,[N|S|E]507 16770 TAAGGCGA N701 GTAAGAGG Unknown 16763 AGGCAGAA N703 GTATGGAG E505,S505,[N|S|E]505 16711 AGAGGCAA Unknown AGAGTAGA E504,[N|S|E]504 16682 CGTACTAG N702 TTTCCTCT E503,S503,[N|S|E]503 16630 AAGAGGCA N711 ACTGATAT Unknown 16609 TAGGCATG N706 TTTCCTCT E503,S503,[N|S|E]503 16576 GGACTCCT N705 CTGCGGCG Unknown 16565 TAAGGCGA N701 ATCCTCTT Unknown 16483 GGACTCCT N705 GTAAGAAG E505,S505,[N|S|E]505 16442 GTAGAGGG N712 AGAGTAGA E504,[N|S|E]504 16434 TCCTGAGC N704 GTAAGCAG E505,S505,[N|S|E]505 16408 CAGAGAGG N708 GTAAGCCT S508,[N|S|E]508 16384 AGCAGAAA Unknown AAGGAGTA S507,[N|S|E]507 16371 CGTACTAG N702 CTGCGGCG Unknown 16354 TAAGGCGA N701 CAGGAGTC Unknown 16292 GTAGAGCA N712 AGAGTAGA E504,[N|S|E]504 16236 GAACTCCT N705 AAGGAGTA S507,[N|S|E]507 16233 GCTACGAT N709 ACTGCATA E506,S506,[N|S|E]506 16222 CGAGGCTG N710 ACTGCGTA E506,S506,[N|S|E]506 16202 CGAGGCTG N710 AGAGTAAT Unknown 16171 GCTACGCT N709 CTACGCCT D505,S508,[N|S|E]508 16134 TAAGGCGA N701 AAGTAGTA S507,[N|S|E]507 16132 TAAGGCGA N701 AAGGAATA S507,[N|S|E]507 16132 CAGAGAGG N708 CCTGCATA E506,S506,[N|S|E]506 16088 GTAGAGGA N712 ACAGTAGA E504,[N|S|E]504 16008 TCCTGAGC N704 CTGCGGCG Unknown 15992 TAGGCATG N706 TATCTCTT Unknown 15978 CGTACTAG N702 CTAAGCCT S508,[N|S|E]508 15970 GTAGAGGA N712 AGAGTCGG Unknown 15925 GCTACGCA N709 ACTGCATA E506,S506,[N|S|E]506 15925 AAGAGGCA N711 AGAGTAAT Unknown 15913 AGAGAGGA Unknown ACTGCATA E506,S506,[N|S|E]506 15844 AGGCAGAA N703 ATAAGGAG E505,S505,[N|S|E]505 15843 TCCTGAGC N704 GATCCTCC Unknown 15825 TGACTCCT N705 AAGGAGTA S507,[N|S|E]507 15766 CAGAGAGG N708 ACTGCGTA E506,S506,[N|S|E]506 15716 CGAGGCTG N710 GGAGTAGA E504,[N|S|E]504 15682 AAGAGGCA N711 ACTGCCTC Unknown 15665 CTCTCTAC N707 AGAGTGAT Unknown 15663 TCCTGAGC N704 GTAGGGAG E505,S505,[N|S|E]505 15635 GTAGAGGA N712 AAGTAGAT Unknown 15621 TAGGCATG N706 AAGAGTAT Unknown 15600 CGTACTAG N702 GTAGGAGG Unknown 15552 AAGAGGCA N711 GGAGTAGG Unknown 15544 TCCTGCGC N704 TATCCTCT E503,S503,[N|S|E]503 15518 AGGCAGAA N703 CTGCGGCG Unknown 15506 TAGGCATG N706 GAGGAGTA S507,[N|S|E]507 15494 GGACTCCT N705 GTAGGAGG Unknown 15476 AGGCAGAA N703 AAGCAGTT Unknown 15407 CTCTCTAC N707 AGGGTAGA E504,[N|S|E]504 15407 CGTATAGA Unknown TATCCTCT E503,S503,[N|S|E]503 15379 CGTACTAG N702 AAGCAGTA S507,[N|S|E]507 15272 GTAGAGGA N712 CGCGTAGA Unknown 15203 GTAGAGGA N712 AGTGTATA Unknown 15167 CGTACTAG N702 AGAGTAGA E504,[N|S|E]504 15152 CGTACTAG N702 TATCTCTT Unknown 14984 CGAGCTGA Unknown AGAGTAGA E504,[N|S|E]504 14974 CGTACTAG N702 TGTCCTCT A503,E503,S503,[N|S|E]503 14973 CAGAGAGG N708 ACTGCATG E506,S506,[N|S|E]506 14885 CATACTAG N702 TATCCTCT E503,S503,[N|S|E]503 14876 TGTACTAG A506,N702 TATCCTCT E503,S503,[N|S|E]503 14844 GTAGAGGA N712 ACTGAATA E506,S506,[N|S|E]506 14802 CTCTCTAC N707 CTCAGCCT S508,[N|S|E]508 14775 GGACTCCT N705 CAGGAGTT Unknown 14760 CTCTCTAC N707 AGAGTTGA E504,[N|S|E]504 14665 TACTGAGC N704 GTAAGGAG E505,S505,[N|S|E]505 14660 GGAGAGGA N712 AGAGTAGA E504,[N|S|E]504 14636 GTAGAGGA N712 AGCGTAGG Unknown 14610 TAGGCATG N706 GAGGAGTC Unknown 14610 TCCTGAGA D702,N704 GTAAGGAG E505,S505,[N|S|E]505 14585 CGTACTAG N702 GTAAGGAT E505,S505,[N|S|E]505 14517 TAGGCATG N706 ATCCTCTT Unknown 14511 AAGCAGAA N703 AAGGAGTA S507,[N|S|E]507 14502 TAAGGCGA N701 GTAAAGAG E505,S505,[N|S|E]505 14422 CGTACTAG N702 ATCCTCTT Unknown 14412 CGTACTAG N702 GTGAGGAG E505,S505,[N|S|E]505 14376 CGTACTAG N702 GTACGGCG Unknown 14365 GTAGAGGA N712 AGATTAGA E504,[N|S|E]504 14347 GGACTCCT N705 GTATGGAG E505,S505,[N|S|E]505 14283 TAGGCATG N706 AAGGAGGA S507,[N|S|E]507 14264 AAGAGGCA N711 ATGCATAT Unknown 14249 GATACGCT N709 ACTGCATA E506,S506,[N|S|E]506 14238 GGACTCCT N705 GTAAGGAC E505,S505,[N|S|E]505 14201 CAGAGAGG N708 ATAAGCCT S508,[N|S|E]508 14193 GGACTCCT N705 TTTCCTCT E503,S503,[N|S|E]503 14176 CGTACTAG N702 ATAAGGAG E505,S505,[N|S|E]505 14146 CGAGGCTG N710 AGAGTGAT Unknown 14037 AAGAGGCA N711 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 14022 TCCTGAGC N704 GAGGAGTC Unknown 13999 CTCTCTAC N707 AGACTAGA E504,[N|S|E]504 13986 TAGGCATA N706 TATCCTCT E503,S503,[N|S|E]503 13985 TAAGGCGA N701 GATCCTCC Unknown 13959 AAAGGCAA Unknown ACTGCATA E506,S506,[N|S|E]506 13935 TAGGCAGA Unknown GTAAGGAG E505,S505,[N|S|E]505 13916 CGAGGCTG N710 AGAGTTGA E504,[N|S|E]504 13885 TAAGGCGA N701 AAGGAGCA S507,[N|S|E]507 13873 TCCTGAGC N704 GTTAGGAG E505,S505,[N|S|E]505 13873 CTCTCTAC N707 ACTGCCTT Unknown 13866 AAGAGGCA N711 ACGCATAT Unknown 13849 CTCTCTAC N707 GAGTAGAT Unknown 13834 CTCTCTAC N707 CCTGCATT Unknown 13828 TAGGCATG N706 CTGCGGCG Unknown 13810 AAGAGGCA N711 ACTGCAAT Unknown 13752 CTCTCTAC N707 CTGCATAT Unknown 13719 TAGGCAGA Unknown TATCCTCT E503,S503,[N|S|E]503 13688 TAAGGCGA N701 GTATGGAG E505,S505,[N|S|E]505 13685 GTAGAGGA N712 GGCGTCGC Unknown 13675 GGACTCCT N705 TATCTCTT Unknown 13656 CGTACTAG N702 AAGGAGCA S507,[N|S|E]507 13631 TCCTGACA Unknown GTAAGGAG E505,S505,[N|S|E]505 13544 TCTACGCT E504,N709,[N|S|E]504 ACTGCATA E506,S506,[N|S|E]506 13540 TAAGGCGA N701 CATCCTCT E503,S503,[N|S|E]503 13529 CAGAGAGG N708 AGAGTAGC E504,[N|S|E]504 13529 GGACTCCT N705 GTGCGGAG Unknown 13523 TAAGGCGA N701 GTAAGGGG E505,S505,[N|S|E]505 13477 GTAGAGGC D502,N712 AGAGTAGA E504,[N|S|E]504 13420 GTAGAGGA N712 AGTGTAGT Unknown 13410 GAACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 13399 CAGAGAGG N708 CGAGTAGA E504,[N|S|E]504 13384 TGAGGCGA N701 GTAAGGAG E505,S505,[N|S|E]505 13361 GCAGAGGA N712 AGAGTAGA E504,[N|S|E]504 13319 TGGCAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 13274 TCCTGAGC N704 GTACGGCG Unknown 13262 GGGCTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 13240 TAGGCATG N706 GTAAGAAG E505,S505,[N|S|E]505 13220 CGAGGCTA N710 AGAGTAGA E504,[N|S|E]504 13204 AGGCAGAA N703 AAGCAGTG Unknown 13130 CAGAGAGG N708 CTGCATAT Unknown 13113 AAGAGGCA N711 ACTCCATA E506,S506,[N|S|E]506 13089 AAGAGGCA N711 ACTGCTTT Unknown 13073 GTAGGGAA Unknown AGAGTAGA E504,[N|S|E]504 13007 GGACTCCT N705 ATCCTCTT Unknown 12990 CAAGGCTG N710 AGAGTAGA E504,[N|S|E]504 12962 GGACTCCT N705 AAGGAATA S507,[N|S|E]507 12960 TACTGAGC N704 AAGGAGTA S507,[N|S|E]507 12923 CGAGGCTG N710 GAGTAGAT Unknown 12922 TCCTGAGC N704 GTAAGGAA E505,S505,[N|S|E]505 12876 GGCAGAAA Unknown GTAAGGAG E505,S505,[N|S|E]505 12854 CGTACTAG N702 AAGAGTAT Unknown 12844 CTCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 12789 CAGAGAGG N708 GCTGCATA E506,S506,[N|S|E]506 12766 AAGAGGCA N711 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 12763 CGAGGCTG N710 CTGCATAT Unknown 12703 AAGAGCAA Unknown AGAGTAGA E504,[N|S|E]504 12688 AAGAGGCA N711 AATGCATT Unknown 12683 CTCTCTAC N707 ACTGCTTT Unknown 12660 CTCTCTAC N707 AGAGTAAA E504,[N|S|E]504 12643 GGACTCCT N705 AAGCAGTT Unknown 12634 CTCTCTAC N707 AATGCATA E506,S506,[N|S|E]506 12629 TAAGGCGA N701 TATCTTCT E503,S503,[N|S|E]503 12588 GTAGAGGA N712 AGTGCATA E506,S506,[N|S|E]506 12578 GCTAAGCT N709 ACTGCATA E506,S506,[N|S|E]506 12523 AGGCAGAA N703 CAGGAGTC Unknown 12509 TCCTGCGC N704 GTAAGGAG E505,S505,[N|S|E]505 12509 TAGGCATG N706 CATCCTCT E503,S503,[N|S|E]503 12460 CGTACTAG N702 GTTAGGAG E505,S505,[N|S|E]505 12454 AGGCAGAA N703 TAAGGAGT Unknown 12430 TAAGGCGA N701 GTGCGGAG Unknown 12425 CTCTCTAC N707 AAAGTAGA E504,[N|S|E]504 12423 GGACTCCT N705 TAAGGAGT Unknown 12418 GTAGCGGA N712 AGAGTAGA E504,[N|S|E]504 12406 CGTACTAG N702 GTAAGCAG E505,S505,[N|S|E]505 12317 TAAGGCGA N701 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 12307 AGGCAGCA N703 GTAAGGAG E505,S505,[N|S|E]505 12258 TCTCTACA Unknown ACTGCATA E506,S506,[N|S|E]506 12257 GTAGAGGA N712 ACTGATAT Unknown 12255 TAAGGCGA N701 GTGCGGCG Unknown 12245 CAGAGAGG N708 CTAAGCTT S508,[N|S|E]508 12184 TAGGCATA N706 GTAAGGAG E505,S505,[N|S|E]505 12178 AAGAGGCA N711 AGAGTGAT Unknown 12168 AGGCAGAA N703 GTAAGGAC E505,S505,[N|S|E]505 12157 TAGGCAGA Unknown AAGGAGTA S507,[N|S|E]507 12153 TAGGCATG N706 GTAGGAGG Unknown 12145 CTCTCTAC N707 CCTGCATC Unknown 12135 AAGAAGCA N711 AGAGTAGA E504,[N|S|E]504 12118 CTCTCTAC N707 CGAGTAGG Unknown 12115 AAGAGGAA N711 ACTGCATA E506,S506,[N|S|E]506 12099 TAAGGCGA N701 GTAAGGAC E505,S505,[N|S|E]505 12091 AAGAGGCA N711 ACTCATAT Unknown 12069 TCCTGAGC N704 GAGGAGTA S507,[N|S|E]507 12068 GTAGAGGA N712 TGAGTAGA E504,[N|S|E]504 12038 AAGAAGCA N711 ACTGCATA E506,S506,[N|S|E]506 12030 TCCTGAGC N704 TATCTTCT E503,S503,[N|S|E]503 12020 CGAGGCTG N710 ACTGCATG E506,S506,[N|S|E]506 12002 CGTACTAG N702 AAGTAGTA S507,[N|S|E]507 12000 CAGAGAGG N708 AGAGTCGA E504,[N|S|E]504 11981 AAGAGGCA N711 GAGTAGAT Unknown 11966 GTAGACGA N712 AGAGTAGA E504,[N|S|E]504 11961 GTAGAGGA N712 CGACTAGG Unknown 11930 TAGGCATG N706 GATCCTCT E503,S503,[N|S|E]503 11915 GCTACGCT N709 CTAAGCAT S508,[N|S|E]508 11906 CGTATAGA Unknown GTAAGGAG E505,S505,[N|S|E]505 11900 TAAGGCGA N701 GTAAGGTG E505,S505,[N|S|E]505 11846 AAGAGGCA N711 AGAGTAAA E504,[N|S|E]504 11815 GTAGAGGA N712 AGAGTACA A503,E504,[N|S|E]504 11746 CTCTCTAC N707 ACTGCGTA E506,S506,[N|S|E]506 11711 CAGAGAGG N708 AGTGCATA E506,S506,[N|S|E]506 11691 AAGAGGCA N711 ACTGCCTT Unknown 11684 TAGGCATG N706 AGAGTAGA E504,[N|S|E]504 11653 TAAGGCGA N701 GAGGAGTG Unknown 11639 AGGCAGAA N703 AAGGACTA S507,[N|S|E]507 11623 TAAGGCGA N701 TTTCCTCT E503,S503,[N|S|E]503 11605 AGGCAGAA N703 GGCTCCAC Unknown 11604 GTAGAGGA N712 CTAAGCCT S508,[N|S|E]508 11558 CTCTCTAC N707 AGAGAGAT Unknown 11519 TAAGGCGA N701 CAGGAGTT Unknown 11519 AGGAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 11517 TAGGCATG N706 CTAAGCCT S508,[N|S|E]508 11510 GCTACGCT N709 ACTGAATA E506,S506,[N|S|E]506 11492 AGGCAGAA N703 GTAAGGGG E505,S505,[N|S|E]505 11473 GCTACGCT N709 CTGCATAT Unknown 11467 CGTACTAG N702 TAACCTCT E503,S503,[N|S|E]503 11419 GTAGAGGA N712 AGTGCAGA Unknown 11418 GTAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 11417 TAAGGCGA N701 AAGCAGTT Unknown 11410 TCCTGAGC N704 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 11396 CGTACTAG N702 ATGGAGTA S507,[N|S|E]507 11380 CTCTCTAC N707 ACTGCCTC Unknown 11322 CTCTCTAC N707 AGATTAGA E504,[N|S|E]504 11262 AGGCAGCA N703 AAGGAGTA S507,[N|S|E]507 11232 CAGAGAGA N708,S511 CTAAGCCT S508,[N|S|E]508 11215 CGTATAGA Unknown AAGGAGTA S507,[N|S|E]507 11190 CGTACTAG N702 CATCCTCT E503,S503,[N|S|E]503 11183 GGCAGAAA Unknown AAGGAGTA S507,[N|S|E]507 11162 CAGAGAGG N708 CTCAGCCT S508,[N|S|E]508 11154 CGTACTAG N702 GAGGAGTC Unknown 11145 GGATCCTA Unknown GTAAGGAG E505,S505,[N|S|E]505 11141 TCCTGAGC N704 GTAAGAGG Unknown 11133 AAGAGGAA N711 AGAGTAGA E504,[N|S|E]504 11130 AGGCAGAA N703 AATCCTCT E503,S503,[N|S|E]503 11112 AAGAGGCA N711 ACTCCATT Unknown 11089 GGCCTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 11080 CTCTCTAC N707 CGAGTAGC Unknown 11080 TGAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 11049 CATACTAG N702 GTAAGGAG E505,S505,[N|S|E]505 11038 GTAAAGGA N712 AGAGTAGA E504,[N|S|E]504 11023 CAGAGAGG N708 ACTGAATA E506,S506,[N|S|E]506 11015 TAGGCATG N706 AAGGAATA S507,[N|S|E]507 10976 GTAGAGGA N712 AGAGTCGT Unknown 10959 TAGGCATG N706 ATGGAGTA S507,[N|S|E]507 10934 TCCTGAGC N704 TTCCTCTT Unknown 10932 TAAGGCAA N701 TATCCTCT E503,S503,[N|S|E]503 10924 GTAGAGGA N712 ACTGCATG E506,S506,[N|S|E]506 10922 CATACTAG N702 AAGGAGTA S507,[N|S|E]507 10914 AGGCAGAA N703 GTAACGAG E505,S505,[N|S|E]505 10900 TAGGCATA N706 AAGGAGTA S507,[N|S|E]507 10887 GGCCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 10875 CGAGGCTG N710 ACTGCTTT Unknown 10866 GTAGAGGA N712 GCTGCATC Unknown 10864 CGAGGCTA N710 ACTGCATA E506,S506,[N|S|E]506 10863 GTATAGGA N712 AGAGTAGA E504,[N|S|E]504 10862 GCTACGAT N709 CTAAGCCT S508,[N|S|E]508 10845 GTAGAGGA N712 ATGCATAT Unknown 10827 GAAGAGGA N712 ACTGCATA E506,S506,[N|S|E]506 10816 CGAGGCTG N710 AGAGAGAT Unknown 10783 TCCTGACA Unknown AAGGAGTA S507,[N|S|E]507 10754 GTAGAGGA N712 AGTAGATC Unknown 10751 AAGAGGCA N711 CTGCGGCG Unknown 10735 TAGGCATG N706 AAGTAGTA S507,[N|S|E]507 10732 CTCTCTAC N707 AGCGTAGC Unknown 10724 CGAGGCTG N710 ACTGAATA E506,S506,[N|S|E]506 10708 CGAGCTGA Unknown ACTGCATA E506,S506,[N|S|E]506 10705 GTAGGGGA N712 AGAGTAGA E504,[N|S|E]504 10688 TCCTGAGC N704 CAGGAGTC Unknown 10672 CGTACTAT N702 TATCCTCT E503,S503,[N|S|E]503 10649 CTCTCTAC N707 AGAGTCGC Unknown 10633 CAAGGCTG N710 ACTGCATA E506,S506,[N|S|E]506 10624 CGAGGCTG N710 AGAGCAGA E504,[N|S|E]504 10602 TAGTCATG N706 TATCCTCT E503,S503,[N|S|E]503 10586 CAGAGAGG N708 CTAGGCCT S508,[N|S|E]508 10569 CTCTCTAC N707 AGAATAGA E504,[N|S|E]504 10565 AAAGGCAA Unknown AGAGTAGA E504,[N|S|E]504 10535 TAGGCATG N706 AAGCAGTT Unknown 10534 AGGCAGAA N703 AAGGATAT S520 10522 TAGGCATG N706 GTACGGCG Unknown 10478 TAAGGCGG N701 TATCCTCT E503,S503,[N|S|E]503 10476 CGTACTAG N702 GTAAGGTG E505,S505,[N|S|E]505 10451 GTAGAGGA N712 AGAGGAGG Unknown 10449 TGCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 10438 CGTACTAG N702 GTAAGAGG Unknown 10427 AGAGAGGA Unknown CTAAGCCT S508,[N|S|E]508 10418 TAGGCATG N706 TAAGGAGT Unknown 10394 GGATCCTA Unknown AAGGAGTA S507,[N|S|E]507 10362 GTAGAGGA N712 ACTGCAAT Unknown 10347 CACTCTAC N707 AGAGTAGA E504,[N|S|E]504 10264 TAAGGCAA N701 GTAAGGAG E505,S505,[N|S|E]505 10242 TAAGGCGA N701 ATAAGGAG E505,S505,[N|S|E]505 10237 TAGGCATG N706 TGTCCTCT A503,E503,S503,[N|S|E]503 10220 TAAGGCGA N701 AAGGACTA S507,[N|S|E]507 10213 GGACTCCT N705 AAGGACTA S507,[N|S|E]507 10208 TGTACTAG A506,N702 GTAAGGAG E505,S505,[N|S|E]505 10180 GTAGAGGA N712 ACGCATAT Unknown 10179 AAGGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 10172 TAATGCGA D708,N701,S522 TATCCTCT E503,S503,[N|S|E]503 10160 AGGCAGAA N703 AATGAGTA S507,[N|S|E]507 10156 CGTACTAG N702 GAGGAGTA S507,[N|S|E]507 10149 GGGCTCCT N705 AAGGAGTA S507,[N|S|E]507 10146 TAGGCATG N706 CAGGAGTT Unknown 10140 TAAGACGA N701 TATCCTCT E503,S503,[N|S|E]503 10139 GGACTCCT N705 GTAAAGAG E505,S505,[N|S|E]505 10110 AGGCAGAA N703 AAGGGTAT S520 10106 CTCTCTAC N707 ACTGCATG E506,S506,[N|S|E]506 10100 GTAGAGGA N712 AGACTAGG Unknown 10092 GGACTCCT N705 GTAAGAGG Unknown 10085 AGGCAGAA N703 GTAAGGTG E505,S505,[N|S|E]505 10083 TCCTGAGC N704 AAGTAGTA S507,[N|S|E]507 10047 TCCTGAGC N704 AAGCAGTT Unknown 10023 TCCTTAGC N704 TATCCTCT E503,S503,[N|S|E]503 10022 CGTACTAG N702 GATCCTCT E503,S503,[N|S|E]503 9979 AGGCAGGA N703 GTAAGGAG E505,S505,[N|S|E]505 9950 GGGCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 9949 GTAGAGTA N712 AGAGTAGA E504,[N|S|E]504 9944 GCTACGCT N709 CGAGTAGA E504,[N|S|E]504 9937 GCTACGCA N709 CTAAGCCT S508,[N|S|E]508 9934 AAGAGGCA N711 GGAGTAGC Unknown 9929 CTCTCTAC N707 AGAGTGGA E504,[N|S|E]504 9929 TCCTGAGC N704 GTAAGGTG E505,S505,[N|S|E]505 9902 CGTACTAG N702 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 9887 TCCTGAGC N704 TAGCCTCT E503,S503,[N|S|E]503 9886 AGGCAGAA N703 GTGCGGAG Unknown 9876 TAGGCATG N706 CAGGAGTC Unknown 9870 GGACTCCT N705 AAGGATAT S520 9847 GTAGAGGA N712 ACTACATA E506,S506,[N|S|E]506 9813 TCTACGCT E504,N709,[N|S|E]504 CTAAGCCT S508,[N|S|E]508 9807 GGACTCAT N705 GTAAGGAG E505,S505,[N|S|E]505 9764 TAGGCATG N706 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 9748 AGGCAGAA N703 AAGGATTA S507,[N|S|E]507 9743 AGACAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 9740 AAGAGGCA N711 AGTGCATA E506,S506,[N|S|E]506 9739 CAGAGAGG N708 AGAGTAGT E504,[N|S|E]504 9732 GGACTCCT N705 AAGGGTAT S520 9725 GTAGAGGA N712 AGAGTAAG Unknown 9707 CTCTCTAC N707 ACTGATAT Unknown 9705 GTAGAGGA N712 ACTGTATA E506,S506,[N|S|E]506 9697 AGGCAGAA N703 TATCATCT E503,S503,[N|S|E]503 9694 CAGAGAGG N708 ACTGCTTT Unknown 9694 CTCTCTAC N707 ACTACATA E506,S506,[N|S|E]506 9687 TGAGGCGA N701 AAGGAGTA S507,[N|S|E]507 9686 AGGCAGAA N703 AAGCAGTC Unknown 9681 CGTACTAG N702 GTAAGAAG E505,S505,[N|S|E]505 9670 TCCTGAGA D702,N704 AAGGAGTA S507,[N|S|E]507 9661 TAAGCATG N706 TATCCTCT E503,S503,[N|S|E]503 9654 GGACTCCT N705 GTGCGGCG Unknown 9636 TAAGGCGA N701 ATGGAGTA S507,[N|S|E]507 9633 TCCTGAGC N704 AAGGATAT S520 9621 GAGAGGAA Unknown AGAGTAGA E504,[N|S|E]504 9612 GTAGAGGA N712 GGCGTAGC Unknown 9593 AAGGCGAA Unknown GTAAGGAG E505,S505,[N|S|E]505 9550 AGTCAGAA D705,N703 GTAAGGAG E505,S505,[N|S|E]505 9541 GTAGAGGA N712 AGAGTTGT Unknown 9538 CGTACTAG N702 GTATGGAG E505,S505,[N|S|E]505 9509 TCCTGAGC N704 TATCCCTT Unknown 9493 TAGGCATG N706 GTATGGAG E505,S505,[N|S|E]505 9482 GTAGAGGA N712 ACAGCATA E506,S506,[N|S|E]506 9469 ACGCAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 9463 TAGGCATG N706 TATCTTCT E503,S503,[N|S|E]503 9463 AAGAGGCA N711 ACTGCTAT Unknown 9449 GTAGAGGA N712 ACTGCTTT Unknown 9448 AAGAGGCA N711 AGAGAGAT Unknown 9448 GGACTCCT N705 GTAAGGGG E505,S505,[N|S|E]505 9426 TAAGGCGA N701 GAAAGGAG E505,S505,[N|S|E]505 9408 TCCTGAGC N704 GTAAGAAG E505,S505,[N|S|E]505 9398 TAGACATG N706 TATCCTCT E503,S503,[N|S|E]503 9396 TCCTGAGC N704 AAGGGTAT S520 9323 TCCTGAGC N704 TACCTCTT Unknown 9306 GCTACACT N709 ACTGCATA E506,S506,[N|S|E]506 9304 GTAGAGGA N712 ACTCATAT Unknown 9300 ACGAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 9284 CGAGGCTG N710 CTACGCCT D505,S508,[N|S|E]508 9207 TAGAGGAA Unknown AGAGTAGA E504,[N|S|E]504 9190 CTCTCTAC N707 AGAGCAGA E504,[N|S|E]504 9159 CAGAGAGG N708 TAAGCCTT Unknown 9157 AAGAGGCA N711 CCTGCATG Unknown 9141 GCTACTCT E504,N709,[N|S|E]504 ACTGCATA E506,S506,[N|S|E]506 9118 GTAAGGAA E505,S505,[N|S|E]505 ACTGCATA E506,S506,[N|S|E]506 9117 CGAGGCTG N710 AGTGCATA E506,S506,[N|S|E]506 9113 CTCTCTAC N707 AGATAGAT Unknown 9106 CTCTCTAA E502,N707,S502,[N|S|E]502 CTAAGCCT S508,[N|S|E]508 9066 GTAGATGA N712 AGAGTAGA E504,[N|S|E]504 9055 TCCTGATC N704 TATCCTCT E503,S503,[N|S|E]503 9030 GGACTCCT N705 AATCCTCT E503,S503,[N|S|E]503 9014 CGTACTAG N702 AAGGAATA S507,[N|S|E]507 9006 TCTGAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 9000 TCATGAGC N704 TATCCTCT E503,S503,[N|S|E]503 8999 GACTCCTA Unknown GTAAGGAG E505,S505,[N|S|E]505 8981 CGACTCCT N705 ACTGCATA E506,S506,[N|S|E]506 8976 CAGAGAGG N708 ACTGATAT Unknown 8974 TAAGGCGA N701 TAAGGAGT Unknown 8967 TAAGGCGA N701 AATGAGTA S507,[N|S|E]507 8940 TCCTGAGC N704 CAGGAGTT Unknown 8939 AAGGCGAA Unknown AAGGAGTA S507,[N|S|E]507 8917 TAAGGAGA N701 TATCCTCT E503,S503,[N|S|E]503 8876 GTAGAGGA N712 AGCGTCGA Unknown 8872 AAAAAAAA Unknown ACTGCATA E506,S506,[N|S|E]506 8866 AAGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 8854 GCACTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 8844 TAAGGCGA N701 AAGCAGTG Unknown 8844 GCTACGCT N709 AGTGTAGA E504,[N|S|E]504 8843 GACTCCTA Unknown AAGGAGTA S507,[N|S|E]507 8837 TCCTGAGC N704 AATGAGTA S507,[N|S|E]507 8830 CGTACTAG N702 GATCCTCC Unknown 8821 CTCTCTAC N707 AGAGTACA A503,E504,[N|S|E]504 8821 CTCTCTAC N707 GCTGCATC Unknown 8820 AGACAGAA N703 AAGGAGTA S507,[N|S|E]507 8815 TAAGGCGG N701 GTAAGGAG E505,S505,[N|S|E]505 8811 TCCTGAAC N704 TATCCTCT E503,S503,[N|S|E]503 8794 CGAGGCTG N710 AGATAGAT Unknown 8784 GGACTCCT N705 ATAAGGAG E505,S505,[N|S|E]505 8781 TCCTGAGC N704 TAAGGAGT Unknown 8772 AGGCAGAA N703 CAGCAGTG Unknown 8759 TCCTAAGC N704 TATCCTCT E503,S503,[N|S|E]503 8757 TCCTGAGC N704 AAGGAATA S507,[N|S|E]507 8752 TAAGGCGA N701 TTCCTCTT Unknown 8747 GTAGAGGA N712 AGAGTACG Unknown 8743 CGAGGCTG N710 ACTGATAT Unknown 8729 TAGGCATG N706 GTAAGGAC E505,S505,[N|S|E]505 8720 AAGAGGCA N711 AGAGTTGA E504,[N|S|E]504 8703 CGAGGCTG N710 AGAGTAAA E504,[N|S|E]504 8691 GTGGAGGA N712 AGAGTAGA E504,[N|S|E]504 8689 CGTCCTAG N702 GTAAGGAG E505,S505,[N|S|E]505 8684 AGGCAGAA N703 GGAGTATC Unknown 8681 GGTCTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 8660 TAAGGCGA N701 AAGGATAT S520 8660 CGAGGCTG N710 CCTGCATT Unknown 8657 CAGAGAGG N708 GCTGCATC Unknown 8648 GTAGAGGA N712 AAGGTAGA Unknown 8644 TGGCAGAA N703 AAGGAGTA S507,[N|S|E]507 8612 GGCCTCCT N705 AAGGAGTA S507,[N|S|E]507 8586 TAAGGCGA N701 GTAACGAG E505,S505,[N|S|E]505 8586 CAGAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 8585 CAGAGAGG N708 AGGGTAGA E504,[N|S|E]504 8579 TAAGGCAA N701 AAGGAGTA S507,[N|S|E]507 8574 GGACTCAT N705 AAGGAGTA S507,[N|S|E]507 8551 TAGGCCTG N706 TATCCTCT E503,S503,[N|S|E]503 8549 AGGCAGAA N703 AAGAAGAA Unknown 8546 TAATGCGA D708,N701,S522 GTAAGGAG E505,S505,[N|S|E]505 8541 GGACTCCT N705 GTAAGGTG E505,S505,[N|S|E]505 8537 GTAGAGGA N712 AGGGTGGA Unknown 8509 TCCTGAGC N704 ATAAGGAG E505,S505,[N|S|E]505 8486 GTAGAAGA N712 AGAGTAGA E504,[N|S|E]504 8474 CAGAGCGG N708 ACTGCATA E506,S506,[N|S|E]506 8469 CGTACTAG N702 AAGGAGCT Unknown 8460 AGGCAGAA N703 AAGGAGAG Unknown 8443 TAAGACGA N701 GTAAGGAG E505,S505,[N|S|E]505 8438 GGACTCTA Unknown GTAAGGAG E505,S505,[N|S|E]505 8435 CGTACTAG N702 CAGGAGTC Unknown 8411 TCAGGCGA N701 GTAAGGAG E505,S505,[N|S|E]505 8405 GGTCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 8392 CTCTCTAC N707 GTAAGGAG E505,S505,[N|S|E]505 8389 AAGAGGCA N711 ACTTCATA E506,S506,[N|S|E]506 8380 AGGCAGAA N703 GAGGAGTG Unknown 8367 TATGCATG N706 TATCCTCT E503,S503,[N|S|E]503 8344 CGAGGCTG N710 GGAGTAGC Unknown 8339 TTCTCTAC N707 AGAGTAGA E504,[N|S|E]504 8337 ATAGAGGA D502,N712 AGAGTAGA E504,[N|S|E]504 8335 GGATCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 8304 CTCTCTAC N707 CTAAGCAT S508,[N|S|E]508 8298 CTATCTAC N707 AGAGTAGA E504,[N|S|E]504 8290 TAAGGCGA N701 AAGGGTAT S520 8268 CTCTCTAC N707 GGAGTAGA E504,[N|S|E]504 8266 CTCTCTAC N707 ATGCATAT Unknown 8252 GGACTCAT N705 TATCCTCT E503,S503,[N|S|E]503 8246 CGTACTAG N702 GTAAGGAA E505,S505,[N|S|E]505 8236 GGACTCCT N705 GGAGTATC Unknown 8229 GCTAAGCT N709 CTAAGCCT S508,[N|S|E]508 8198 TAGGCATG N706 GTAAAGAG E505,S505,[N|S|E]505 8192 CGTACTAG N702 CAGGAGTT Unknown 8188 AGGCAGGA N703 AAGGAGTA S507,[N|S|E]507 8182 TCCTCAGC N704 TATCCTCT E503,S503,[N|S|E]503 8172 CAGAGAGG N708 AGTGTAGA E504,[N|S|E]504 8168 TCCTGAGC N704 AAGGAGCA S507,[N|S|E]507 8161 AGGAGGCA N711 AGAGTAGA E504,[N|S|E]504 8152 TGGGCATG N706 GTAAGGAG E505,S505,[N|S|E]505 8150 CGTACTAG N702 TATCTTCT E503,S503,[N|S|E]503 8143 AGGCAGAA N703 AAGGAGCT Unknown 8122 TGGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 8097 TAGGCATG N706 AAGGATAT S520 8091 AAGAGGCA N711 AGATAGAT Unknown 8046 AAGGGCAA Unknown ACTGCATA E506,S506,[N|S|E]506 8041 AAGAGGCA N711 CTAAGCCT S508,[N|S|E]508 8027 GTAGAGCA N712 ACTGCATA E506,S506,[N|S|E]506 8024 TCCTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 8013 CTCTCTAC N707 TGAGTAGA E504,[N|S|E]504 8009 TAGGCATG N706 GTAAGAGG Unknown 8004 CAGAGAGG N708 ATGCATAT Unknown 7997 GCACTCCT N705 AAGGAGTA S507,[N|S|E]507 7996 AGGCAGAA N703 GTACGCAG Unknown 7993 GCTACGCT N709 ACTACATA E506,S506,[N|S|E]506 7993 CTCTCTAC N707 ACTCCATT Unknown 7964 CTCTCTAC N707 ACTGCAAT Unknown 7964 GGACTCCT N705 TATCTTCT E503,S503,[N|S|E]503 7957 GCTACGCT N709 CTTAGCCT D505,S508,[N|S|E]508 7955 AGGCAGAA N703 CAGGAGTT Unknown 7937 AGGCAGAA N703 GTGCGGCG Unknown 7929 AGGCAGAA N703 GTACGTAG Unknown 7915 TAGGCATG N706 ATAAGGAG E505,S505,[N|S|E]505 7909 ATGCAGAA D705,N703 GTAAGGAG E505,S505,[N|S|E]505 7908 CTCTCTAC N707 ACGCATAT Unknown 7904 TCCTGAGC N704 GTAAAGAG E505,S505,[N|S|E]505 7891 CGTACTAG N702 AAGCAGTT Unknown 7885 TAAGGCGA N701 TATCCCTT Unknown 7884 TCAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 7878 GGACTCTA Unknown AAGGAGTA S507,[N|S|E]507 7854 AAGAGGCA N711 AGAGTGGA E504,[N|S|E]504 7849 AGGCAGAA N703 AAGAAGTG Unknown 7844 AGGCAGAA N703 GCAAGGAG E505,S505,[N|S|E]505 7844 TCCTGAGC N704 TGTCCTCT A503,E503,S503,[N|S|E]503 7840 CGTCCTAG N702 TATCCTCT E503,S503,[N|S|E]503 7833 GGACTCCT N705 AATGAGTA S507,[N|S|E]507 7832 GTACAGGA N712 AGAGTAGA E504,[N|S|E]504 7814 GTAGAGGA N712 CGCGTAGC Unknown 7809 GCTACGCC N709 ACTGCATA E506,S506,[N|S|E]506 7803 CTAGAGGA N712 AGAGTAGA E504,[N|S|E]504 7800 GTAGAGGA N712 GTAAGGAG E505,S505,[N|S|E]505 7791 TCCTGAGC N704 GTAAGGGG E505,S505,[N|S|E]505 7788 GGACTCCC N705 GTAAGGAG E505,S505,[N|S|E]505 7784 TCCTGAGC N704 ACTGCATT E506,S506,[N|S|E]506 7776 CGTACTAG N702 AGGGAGTA S507,[N|S|E]507 7764 CTCTCTAC N707 ACTGAATA E506,S506,[N|S|E]506 7757 TCCTAAGC N704 GTAAGGAG E505,S505,[N|S|E]505 7744 CGAGGCTG N710 ACTGCCTT Unknown 7740 CGAGGCTG N710 ATGCATAT Unknown 7736 TAAGGCGA N701 AAGGAGCT Unknown 7734 AGGCAGAA N703 AAGGATTT Unknown 7732 TCCTGAGC N704 TAACCTCT E503,S503,[N|S|E]503 7723 TCCTGAGC N704 ATGGAGTA S507,[N|S|E]507 7697 TAGGCATG N706 TTCCTCTT Unknown 7696 GTAGAGGA N712 AGAATAGG D503 7688 AAGAGGCA N711 AGAATAGA E504,[N|S|E]504 7684 AGGCAGAA N703 GACTCCAC Unknown 7672 CAGAGAGG N708 CTACGCCC Unknown 7671 TAGGCATG N706 AAGGGTAT S520 7671 CGTACTAG N702 TTCCTCTT Unknown 7670 TAAGGCGC D708,N701,S521 TATCCTCT E503,S503,[N|S|E]503 7653 TAAGGCGA N701 GTACGTAG Unknown 7649 TAAGGCGA N701 GTACGCAG Unknown 7647 TTAGAGGA N712 ACTGCATA E506,S506,[N|S|E]506 7645 TAGTCATG N706 GTAAGGAG E505,S505,[N|S|E]505 7639 CTCTCTAC N707 CGAGTCGA S513 7612 GTAGAGGA N712 CGAGTCGC Unknown 7609 GTAGAGGA N712 ACTGCCTT Unknown 7609 GGACTCCT N705 AGGGAGTA S507,[N|S|E]507 7603 CGTACTAT N702 GTAAGGAG E505,S505,[N|S|E]505 7590 TCCTGAGC N704 GTAAGGAC E505,S505,[N|S|E]505 7590 GTAGAGGA N712 AAGGAGTA S507,[N|S|E]507 7588 CTCTCTAC N707 ACTCCATA E506,S506,[N|S|E]506 7585 ACGCAGAA N703 AAGGAGTA S507,[N|S|E]507 7585 TAAGGCGA N701 TACCTCTT Unknown 7584 GCTACGCT N709 ACTGCTTT Unknown 7581 TAGACATG N706 GTAAGGAG E505,S505,[N|S|E]505 7566 GCTACGCT N709 CCTGCATT Unknown 7547 CTCTATAC N707 ACTGCATA E506,S506,[N|S|E]506 7539 CCCTGAGC N704 ACTGCATA E506,S506,[N|S|E]506 7539 CGTACTAG N702 TAGCCTCT E503,S503,[N|S|E]503 7536 TAGGAATG N706 GTAAGGAG E505,S505,[N|S|E]505 7522 CTAGAGGA N712 ACTGCATA E506,S506,[N|S|E]506 7518 TAAGACGA N701 AAGGAGTA S507,[N|S|E]507 7500 CAGAGAGG N708 GGAGTAGG Unknown 7496 TAAGCATG N706 GTAAGGAG E505,S505,[N|S|E]505 7489 AATAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 7480 TGGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 7465 GTACTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 7462 CGGCAGAA N703 ACTGCATA E506,S506,[N|S|E]506 7454 TAAGGAGA N701 GTAAGGAG E505,S505,[N|S|E]505 7454 GCTACCCT N709 ACTGCATA E506,S506,[N|S|E]506 7447 CAGAGAGG N708 ACTGCAAT Unknown 7446 TAGGCATG N706 AATGAGTA S507,[N|S|E]507 7446 CGAGGCTG N710 GCTGCATA E506,S506,[N|S|E]506 7443 CAGAGAGG N708 ACAGCATA E506,S506,[N|S|E]506 7442 TCGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 7422 GGACTCCT N705 GAAGGAGT Unknown 7412 TAGGCCTG N706 GTAAGGAG E505,S505,[N|S|E]505 7411 CGAGGCTG N710 ACTGCAAT Unknown 7411 GATACGCT N709 CTAAGCCT S508,[N|S|E]508 7395 CGAGGCTG N710 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 7395 GTAGAGGA N712 CTGCTGCG Unknown 7392 TAAGGCGA N701 TAACCTCT E503,S503,[N|S|E]503 7381 AAGAGGCA N711 AGACTAGA E504,[N|S|E]504 7375 GGACTCCT N705 GTACGCAG Unknown 7364 ACCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 7363 AGGCAGAA N703 GTAATGAG E505,S505,[N|S|E]505 7358 GCTACGCT N709 ACTGTATA E506,S506,[N|S|E]506 7348 GTAGAGGA N712 CCTGCATT Unknown 7347 AGTCAGAA D705,N703 AAGGAGTA S507,[N|S|E]507 7337 TGTACTAG A506,N702 AAGGAGTA S507,[N|S|E]507 7329 TAGGAATG N706 TATCCTCT E503,S503,[N|S|E]503 7325 AGGCAGAA N703 TATCCTAT E503,S503,[N|S|E]503 7324 CAGAGAGG N708 ACGCATAT Unknown 7322 GCTACGCA N709 AGAGTAGA E504,[N|S|E]504 7311 CGTACTAG N702 AAGGATTT Unknown 7307 TAGGCATG N706 GTGCGGAG Unknown 7305 CACTCTAC N707 ACTGCATA E506,S506,[N|S|E]506 7278 TGCTGAGC N704 GTAAGGAG E505,S505,[N|S|E]505 7275 GCTACGCT N709 AGAGTAGG E504,[N|S|E]504 7269 CTCTCTAC N707 AGGTAGAT Unknown 7256 TCCTGAGC N704 GTATGGAG E505,S505,[N|S|E]505 7254 GGACTCCA N705 GTAAGGAG E505,S505,[N|S|E]505 7248 CTCTCTAC N707 ACTCATAT Unknown 7233 CGTACTAG N702 GTAAGGGG E505,S505,[N|S|E]505 7222 CTCTCTAC N707 GGAGTAGG Unknown 7206 TAAGGCGA N701 TATCCACC Unknown 7192 GTAGAGGA N712 CGAGTAGT Unknown 7160 CGAGGCTG N710 ACGCATAT Unknown 7142 CGAGGCTG N710 CGAGTAGC Unknown 7140 GTACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 7138 TAGGCATC N706 TATCCTCT E503,S503,[N|S|E]503 7128 GGACTCCT N705 AAGGAGCA S507,[N|S|E]507 7126 TCCTGAAC N704 GTAAGGAG E505,S505,[N|S|E]505 7115 GCACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 7108 CGTACTAG N702 GTAAAGAG E505,S505,[N|S|E]505 7088 TCATGAGC N704 GTAAGGAG E505,S505,[N|S|E]505 7076 TAGGCATG N706 GATCCTCC Unknown 7072 GTAGAGGA N712 AATGCATT Unknown 7061 TAAGGCGG N701 AAGGAGTA S507,[N|S|E]507 7061 AGGCAGAA N703 TACCCTCC Unknown 7059 TAAGGCGC D708,N701,S521 GTAAGGAG E505,S505,[N|S|E]505 7055 GGACTCCT N705 GTCCGGAG Unknown 7046 TAAGGCGA N701 CTAAGGAG E505,S505,[N|S|E]505 7044 CGACTCCT N705 CTAAGCCT S508,[N|S|E]508 7043 GGACTCCT N705 CTAAGGAG E505,S505,[N|S|E]505 7043 CTCTCTAC N707 AGTGTATA Unknown 7042 TAAGGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 7039 CCCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 7028 GCTACGCT N709 ACTGATAT Unknown 7027 AGGCAGAA N703 AAGGAGCC Unknown 7018 ATGCAGAA D705,N703 AAGGAGTA S507,[N|S|E]507 7005 TCCTGAGC N704 AAGCAGTG Unknown 7004 TAGACATG N706 AAGGAGTA S507,[N|S|E]507 7000 AAGAGACA N711 ACTGCATA E506,S506,[N|S|E]506 6989 AGGCAGAA N703 ATGGAGTA S507,[N|S|E]507 6983 CTCTCTAC N707 ACTGTATA E506,S506,[N|S|E]506 6975 CTCTCTAC N707 AAGGAGTA S507,[N|S|E]507 6973 TAAGCATG N706 AAGGAGTA S507,[N|S|E]507 6971 CGTACTAG N702 AAGGCGTT Unknown 6971 CGTACTAT N702 AAGGAGTA S507,[N|S|E]507 6965 GGACTCCT N705 GTAACGAG E505,S505,[N|S|E]505 6941 CTCTCTAC N707 CTAAGCTT S508,[N|S|E]508 6938 TCCTGCGC N704 AAGGAGTA S507,[N|S|E]507 6934 GGTCTCCT N705 AAGGAGTA S507,[N|S|E]507 6931 TAAGGCGA N701 GGAGTATC Unknown 6916 TAAAGCGA N701 TATCCTCT E503,S503,[N|S|E]503 6914 GTAGAGGA N712 ACTGCTAT Unknown 6914 GGACTCCT N705 CATCCTCT E503,S503,[N|S|E]503 6911 GCTACGCT N709 ACTGCAAT Unknown 6911 CGAGGCTG N710 AGTGTATA Unknown 6908 CGAGGCTG N710 AGAGTGGG Unknown 6904 AAAAGGCA N711 AGAGTAGA E504,[N|S|E]504 6893 TAGGCATG N706 GTAAGGTG E505,S505,[N|S|E]505 6883 CAAGGCGA N701 ACTGCATA E506,S506,[N|S|E]506 6875 TCCTGAGC N704 GCATCTCG Unknown 6874 GCTACGCT N709 ACTGCCTT Unknown 6873 GCTACGAT N709 AGAGTAGA E504,[N|S|E]504 6862 TAAGGCGA N701 ACTGCATT E506,S506,[N|S|E]506 6854 TGGGCATG N706 AAGGAGTA S507,[N|S|E]507 6847 CGAGGCTG N710 AGGTAGAT Unknown 6847 TAGGCATG N706 GTAAGGGG E505,S505,[N|S|E]505 6843 TAAGGCGA N701 TAGCCTCT E503,S503,[N|S|E]503 6831 AAGAGGCA N711 ACGGCATA E506,S506,[N|S|E]506 6808 AGGCAGAA N703 TAAGGAGG Unknown 6800 CAGAGAGG N708 ACTCATAT Unknown 6793 TAAGGCGA N701 CAGCAGTG Unknown 6791 AAGAGGCA N711 CGAGTAGC Unknown 6786 CGTACTAG N702 AAGGATTA S507,[N|S|E]507 6776 GACTCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 6773 AAAAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 6767 AGGCAGAA N703 GAAGGAGT Unknown 6746 CTATCTAC N707 ACTGCATA E506,S506,[N|S|E]506 6744 CGAGGCTG N710 ACTCATAT Unknown 6727 GGACTCCT N705 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 6713 AAGAGGCA N711 ACTGCTTA E506,S506,[N|S|E]506 6710 AAGACGCA N711 ACTGCATA E506,S506,[N|S|E]506 6704 TAGGCATG N706 GGAGTATC Unknown 6694 TAAGGCGA N701 CAGGAGTG Unknown 6692 GTAGAGGA N712 ACTGCCTC Unknown 6673 CGAGGCTG N710 GGAGTCGC Unknown 6670 TCTGAGCA Unknown AAGGAGTA S507,[N|S|E]507 6664 GGACTCCT N705 AAGCAGTG Unknown 6661 CTCTCTAC N707 GGAGTAGC Unknown 6658 GCTACTCT E504,N709,[N|S|E]504 CTAAGCCT S508,[N|S|E]508 6658 GGACTCCC N705 AAGGAGTA S507,[N|S|E]507 6652 GGACTCCT N705 GATCCTCT E503,S503,[N|S|E]503 6651 GTAGAGGA N712 AGCGTCGC Unknown 6641 TAGTCATG N706 AAGGAGTA S507,[N|S|E]507 6633 GGACTCCT N705 AAGGATTT Unknown 6627 TAAGGCGA N701 GTAATGAG E505,S505,[N|S|E]505 6625 CTCTCTAC N707 AGAGTATC Unknown 6619 TCCTTAGC N704 GTAAGGAG E505,S505,[N|S|E]505 6605 CGTACTAG N702 AATGAGTA S507,[N|S|E]507 6604 CAGAGAGG N708 CTAAGCCG S508,[N|S|E]508 6596 AAGAGGCC N711 ACTGCATA E506,S506,[N|S|E]506 6588 GGACTACT N705 TATCCTCT E503,S503,[N|S|E]503 6583 CGTACTAG N702 TATCCCTT Unknown 6574 CGAGGCTG N710 AGACTAGA E504,[N|S|E]504 6570 GGACTCCT N705 GAGGAGTG Unknown 6567 GCTACACT N709 CTAAGCCT S508,[N|S|E]508 6567 GTACTCCT N705 AAGGAGTA S507,[N|S|E]507 6565 GGACTCCT N705 TTCCTCTT Unknown 6564 TAGGGATG N706 TATCCTCT E503,S503,[N|S|E]503 6561 GGACTACT N705 GTAAGGAG E505,S505,[N|S|E]505 6557 GTAGAGGA N712 GCTGCCTC Unknown 6557 GTAGAGGT N712 AGAGTAGA E504,[N|S|E]504 6550 GTAGAAGA N712 ACTGCATA E506,S506,[N|S|E]506 6548 CGAGGCTG N710 ACTACATA E506,S506,[N|S|E]506 6543 TAAGGCGA N701 AAGGATTT Unknown 6540 CGCTCTAC N707 AGAGTAGA E504,[N|S|E]504 6537 TAGGCATG N706 TACCTCTT Unknown 6535 TAGGCATG N706 TATCCCTT Unknown 6528 TCAGGCGA N701 AAGGAGTA S507,[N|S|E]507 6523 TGAGGCTG N710 AGAGTAGA E504,[N|S|E]504 6515 CAGAGAGA N708,S511 AGAGTAGA E504,[N|S|E]504 6500 GTAGACGA N712 ACTGCATA E506,S506,[N|S|E]506 6500 CTCTCTAC N707 GCTGCCTC Unknown 6496 TAAGGCTA N701,S521 TATCCTCT E503,S503,[N|S|E]503 6477 TAAGTCGA N701 TATCCTCT E503,S503,[N|S|E]503 6476 CGTACTCG N702 TATCCTCT E503,S503,[N|S|E]503 6469 AGGCAGAA N703 GGAAGGAG E505,S505,[N|S|E]505 6466 GCTACGCT N709 AATGCATT Unknown 6459 CGTACTAG N702 AAGGGTAT S520 6438 CGTACTAG N702 AAGGATAT S520 6435 CGGCAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 6434 GCTACGCT N709 ATGCATAT Unknown 6434 CGAGGCTG N710 AGAGAAGA A503,E504,[N|S|E]504 6414 AAGAGGCA N711 AGAGTACA A503,E504,[N|S|E]504 6410 GGACTCCT N705 GTAATGAG E505,S505,[N|S|E]505 6407 AGGCATGA Unknown GTAAGGAG E505,S505,[N|S|E]505 6401 ACGAGGCA N711 AGAGTAGA E504,[N|S|E]504 6396 CAGAGAGG N708 CTAGCCTT S520 6390 CGAGGCTG N710 AGAGTCGC Unknown 6387 GTAAAGGA N712 ACTGCATA E506,S506,[N|S|E]506 6381 TTCTCTAC N707 ACTGCATA E506,S506,[N|S|E]506 6379 CTCTCTAC N707 GCTGCATA E506,S506,[N|S|E]506 6376 GCTACGCT N709 ACGCATAT Unknown 6374 CGTACTAG N702 TAAGGAGT Unknown 6371 TAGGCATG N706 TAGCCTCT E503,S503,[N|S|E]503 6369 AAGAGGCA N711 AGGTAGAT Unknown 6365 TCCTGAGC N704 AAGGACTA S507,[N|S|E]507 6363 CGTACTAG N702 TACCTCTT Unknown 6362 CGTACTAG N702 ACTGCATT E506,S506,[N|S|E]506 6351 TAATGCGA D708,N701,S522 AAGGAGTA S507,[N|S|E]507 6349 TCCTGAGC N704 CATCCTCC Unknown 6349 AAGAGACA N711 AGAGTAGA E504,[N|S|E]504 6335 GTAGAGGA N712 ATAGTAGG Unknown 6329 CTCTCTAC N707 AAGTAGAT Unknown 6323 CAGAGCGG N708 CTAAGCCT S508,[N|S|E]508 6322 CGTACTAG N702 GTAACGAG E505,S505,[N|S|E]505 6320 CTCTATAC N707 AGAGTAGA E504,[N|S|E]504 6313 AAGCGGCA N711 ACTGCATA E506,S506,[N|S|E]506 6313 TAAGTCGA N701 GTAAGGAG E505,S505,[N|S|E]505 6311 GCTAGGCT N709 ACTGCATA E506,S506,[N|S|E]506 6310 CCCTGAGC N704 CTAAGCCT S508,[N|S|E]508 6310 GTAGAGGA N712 CCTGCATC Unknown 6308 TCCTGAGC N704 TATGCTCT E503,S503,[N|S|E]503 6302 TCCTGAGC N704 GTAACGAG E505,S505,[N|S|E]505 6293 TCCTGACC N704 TATCCTCT E503,S503,[N|S|E]503 6292 CGAGGCTG N710 CCTGCATC Unknown 6287 GTAGGAAT Unknown AGAGTAGA E504,[N|S|E]504 6285 AGGCAGAA N703 CTGCAGCG Unknown 6285 TCCTGAGC N704 TATCCTTC Unknown 6282 TAGGCATG N706 TAACCTCT E503,S503,[N|S|E]503 6277 GGACTCCT N705 GTAAGGGT Unknown 6272 CCTGAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 6270 TCCTGAGC N704 TACCCTCT E503,S503,[N|S|E]503 6269 AGGCATGA Unknown TATCCTCT E503,S503,[N|S|E]503 6266 TCGGCATG N706 GTAAGGAG E505,S505,[N|S|E]505 6264 CGAGGCTG N710 CGAGTCGA S513 6256 GCTCCGCT N709 ACTGCATA E506,S506,[N|S|E]506 6250 CCTACGCT N709 ACTGCATA E506,S506,[N|S|E]506 6245 CAGAGAGG N708 AATGCATT Unknown 6210 TAAGGCGA N701 AAGGAGAG Unknown 6205 TAAGGCGA N701 AAGGATTA S507,[N|S|E]507 6202 TAAGGAGA N701 AAGGAGTA S507,[N|S|E]507 6199 AGGCAGAA N703 CTAAGGAG E505,S505,[N|S|E]505 6198 TAAGCCGA N701 TATCCTCT E503,S503,[N|S|E]503 6192 TAGGAATG N706 AAGGAGTA S507,[N|S|E]507 6190 CGAGGCTG N710 TGAGTAGA E504,[N|S|E]504 6190 AAAAAAAA Unknown AGAGTAGA E504,[N|S|E]504 6188 GTAGAGGG N712 ACTGCATA E506,S506,[N|S|E]506 6187 AAGAGGCA N711 GGAGTCGC Unknown 6181 TAGGCATG N706 AGGGAGTA S507,[N|S|E]507 6181 GGACTCCA N705 TATCCTCT E503,S503,[N|S|E]503 6179 GGACTCCT N705 GTCCGCCC Unknown 6177 CGAGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 6173 TAGGCATT N706 TATCCTCT E503,S503,[N|S|E]503 6159 TAGGCATC N706 GTAAGGAG E505,S505,[N|S|E]505 6141 GCTACGCT N709 CTAAGCTT S508,[N|S|E]508 6135 GGACTCCT N705 GTACGTAG Unknown 6131 GGACTCCT N705 CAGCAGTG Unknown 6129 ACCTGAGC N704 AAGGAGTA S507,[N|S|E]507 6128 TAAGGGAA Unknown GTAAGGAG E505,S505,[N|S|E]505 6122 GGACTCTA Unknown TATCCTCT E503,S503,[N|S|E]503 6117 TGCTGAGC N704 AAGGAGTA S507,[N|S|E]507 6116 CGTACTAG N702 GTACGTAG Unknown 6109 AAGAGGCA N711 CCTGCCTA Unknown 6098 TCCAGAGC N704 TATCCTCT E503,S503,[N|S|E]503 6088 AAGAGGCA N711 ACCGCATA E506,S506,[N|S|E]506 6086 CGAGGCTG N710 AGAATAGA E504,[N|S|E]504 6084 AAGAGGCA N711 AAGGAGTA S507,[N|S|E]507 6078 CAGAGAAG N708 ACTGCATA E506,S506,[N|S|E]506 6076 GTAGAGGA N712 GGAGTGGG Unknown 6068 CAGAGAGG N708 ACTACATA E506,S506,[N|S|E]506 6065 CGAGGCTG N710 AAGTAGAT Unknown 6058 CGTACTGG N702 TATCCTCT E503,S503,[N|S|E]503 6037 CGAGGCTG N710 TCTGCATT Unknown 6035 CGAACTAG N702 TATCCTCT E503,S503,[N|S|E]503 6023 TCCTGATC N704 GTAAGGAG E505,S505,[N|S|E]505 6007 GGACTACT N705 AAGGAGTA S507,[N|S|E]507 6001 CGTAATAG N702,S518 GTAAGGAG E505,S505,[N|S|E]505 5995 TAGGCATG N706 AAGGATTT Unknown 5994 TAAGGCGA N701 AGGGAGTA S507,[N|S|E]507 5993 TAGGCATG N706 GAAGGAGT Unknown 5990 AAGAGGCA N711 AGAGGAGG Unknown 5959 CAGAGAGG N708 CTAAGACT S508,[N|S|E]508 5955 TATGCATG N706 GTAAGGAG E505,S505,[N|S|E]505 5943 TCTGAGCA Unknown GTAAGGAG E505,S505,[N|S|E]505 5941 GTAGAGGA N712 GGAGGAGG Unknown 5939 ACTACGCT N709 ACTGCATA E506,S506,[N|S|E]506 5938 CAGAGAGG N708 ACTGCCTT Unknown 5928 TAGGCATG N706 GTGCGGCG Unknown 5908 TAAGGCGA N701 AAGCAGTC Unknown 5907 CTCTCTAC N707 CGCGTAGA Unknown 5877 CGAGGCTG N710 AAAGTAGA E504,[N|S|E]504 5873 TTCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 5865 CGTAATAG N702,S518 TATCCTCT E503,S503,[N|S|E]503 5864 GGACTCCA N705 AAGGAGTA S507,[N|S|E]507 5862 GCTACGCT N709 GCTGCATA E506,S506,[N|S|E]506 5862 TCCTGAGC N704 GGAGTATC Unknown 5856 AAGAGGCA N711 AGTGCAGA Unknown 5856 GGACTCCT N705 GAAAGGAG E505,S505,[N|S|E]505 5851 TAAGGCGA N701 TATGCTCT E503,S503,[N|S|E]503 5850 GGACTCCT N705 CAGGAGTG Unknown 5846 GCTAGCTA Unknown ACTGCATA E506,S506,[N|S|E]506 5839 TAAGGGAA Unknown AAGGAGTA S507,[N|S|E]507 5838 TCCTGGGC N704 TATCCTCT E503,S503,[N|S|E]503 5831 AGGCAGAA N703 GTAAGTCG Unknown 5823 CTCTCTAC N707 AGAGAAGA A503,E504,[N|S|E]504 5811 GGACTCCT N705 AAGGTGTA S507,[N|S|E]507 5807 CTCTCTAC N707 GGAGTCGC Unknown 5799 TAACGCGA N701 GTAAGGAG E505,S505,[N|S|E]505 5796 TAGGGATG N706 GTAAGGAG E505,S505,[N|S|E]505 5795 CTCTCTAC N707 ACAGCATA E506,S506,[N|S|E]506 5794 GTAGAGGA N712 AGGGTAGG D503 5792 CTCTCTAC N707 AGAGTCGG Unknown 5788 GCTACCCT N709 CTAAGCCT S508,[N|S|E]508 5787 GTAGAGGA N712 AGAGTTCG Unknown 5773 TCGGCATG N706 AAGGAGTA S507,[N|S|E]507 5771 CGACTAGA Unknown TATCCTCT E503,S503,[N|S|E]503 5769 TCCTCAGC N704 GTAAGGAG E505,S505,[N|S|E]505 5766 AAGAGGCA N711 CCTGCCTC Unknown 5763 GCTAAGCT N709 AGAGTAGA E504,[N|S|E]504 5749 AGGCATGA Unknown AAGGAGTA S507,[N|S|E]507 5743 GCTACGCT N709 TATCCTCT E503,S503,[N|S|E]503 5742 AAGAGGCA N711 GTAAGGAG E505,S505,[N|S|E]505 5742 TAGGCATG N706 AAGGACTA S507,[N|S|E]507 5731 GCTACGCT N709 CTCAGCCT S508,[N|S|E]508 5722 TCCTGAGC N704 AAGGCGTT Unknown 5721 CAGAGAGG N708 ACTGCCTC Unknown 5721 AGGAAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 5719 AAGGGCAA Unknown AGAGTAGA E504,[N|S|E]504 5702 GCTCCGCT N709 CTAAGCCT S508,[N|S|E]508 5699 TAGGCCTG N706 AAGGAGTA S507,[N|S|E]507 5698 AGGCAGAA N703 CAGCAGCG Unknown 5689 GTGAGGAA Unknown AGAGTAGA E504,[N|S|E]504 5687 CTCTCTAC N707 AGAGTTGT Unknown 5687 TCCTGAGC N704 AAGGTGTA S507,[N|S|E]507 5673 TCCTGAGC N704 TCCTCTTC Unknown 5658 AGGCAGAA N703 GTAGAGTC Unknown 5656 GGACTCCT N705 AAGCAGTC Unknown 5655 AAGAGGCA N711 ACTGTATA E506,S506,[N|S|E]506 5653 GCTATGCT N709 ACTGCATA E506,S506,[N|S|E]506 5652 GGTACGCT N709 ACTGCATA E506,S506,[N|S|E]506 5648 TAGCCATG N706 TATCCTCT E503,S503,[N|S|E]503 5638 CTTACTAG N702,S518 TATCCTCT E503,S503,[N|S|E]503 5634 CAGAGAGG N708 CTGAGCCT N720,S508,[N|S|E]508 5631 TTAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 5624 TAAAGCGA N701 GTAAGGAG E505,S505,[N|S|E]505 5615 TAAGGCGA N701 AAAGAGTA S507,[N|S|E]507 5614 TAGGCATC N706 AAGGAGTA S507,[N|S|E]507 5612 GGACTCCT N705 TACCTCTT Unknown 5612 GGACTCCT N705 GTACGGAC D508 5611 GTAGAGGA N712 ACTCCATA E506,S506,[N|S|E]506 5611 CCGTACTA Unknown TATCCTCT E503,S503,[N|S|E]503 5610 AAGACGCA N711 AGAGTAGA E504,[N|S|E]504 5608 TAAGGCTA N701,S521 GTAAGGAG E505,S505,[N|S|E]505 5582 CAGAGGGA Unknown ACTGCATA E506,S506,[N|S|E]506 5573 CGTACTAG N702 AAAGAGTA S507,[N|S|E]507 5572 AGGCAGAA N703 AAGGAGAT Unknown 5569 CGAGGCGG N710 AGAGTAGA E504,[N|S|E]504 5565 CTCTCTAC N707 ATAGTAGG Unknown 5562 CTCTCTAC N707 ACTTCATA E506,S506,[N|S|E]506 5551 CTCTCTAT E502,S502,[N|S|E]502 AGAGTAGA E504,[N|S|E]504 5550 TCCTGAGC N704 CTAAGGAG E505,S505,[N|S|E]505 5548 AAGAGGCA N711 AAGTAGAT Unknown 5544 TAAGGCGA N701 AAGGCGTT Unknown 5539 CAGCGAGG N708 ACTGCATA E506,S506,[N|S|E]506 5537 CGTACTAG N702 GTGCGGCG Unknown 5533 TAAGCCGA N701 GTAAGGAG E505,S505,[N|S|E]505 5521 AGGCAGAA N703 GTCCGCCC Unknown 5520 GGACTCCT N705 TATCCCTT Unknown 5520 CGGGCTGA Unknown AGAGTAGA E504,[N|S|E]504 5517 ACCTGAGC N704 GTAAGGAG E505,S505,[N|S|E]505 5515 AGGCAGAA N703 CAGGAGTG Unknown 5512 AGGCGGAA N703 GTAAGGAG E505,S505,[N|S|E]505 5488 CGGCAGAA N703 CTAAGCCT S508,[N|S|E]508 5484 GGACTCCT N705 AAGGATTA S507,[N|S|E]507 5482 TAAGGCGA N701 CTGCAGCG Unknown 5482 TAAGGCGA N701 TAAGGAGG Unknown 5481 TAAGGCGA N701 GTCCGCCC Unknown 5481 GCTACGCT N709 ATTGCATA E506,S506,[N|S|E]506 5478 AGGCAGAT N703 GTAAGGAG E505,S505,[N|S|E]505 5471 CTCTCTAC N707 AGTGTAGT Unknown 5471 AAGAGGGA N711 ACTGCATA E506,S506,[N|S|E]506 5471 CTCACTAC N707 ACTGCATA E506,S506,[N|S|E]506 5448 TATGCATG N706 AAGGAGTA S507,[N|S|E]507 5427 TCCTGAGC N704 AAGGGGTA S507,[N|S|E]507 5425 TAGCCATG N706 GTAAGGAG E505,S505,[N|S|E]505 5412 TAGGCAAG N706 TATCCTCT E503,S503,[N|S|E]503 5411 GTAGAGGA N712 AGACTAGT Unknown 5408 CGAGGCTG N710 ATAGTAGA E504,[N|S|E]504 5408 CTCTCTAC N707 ACTGCTAT Unknown 5405 TCCTGAGC N704 AAGGAGCT Unknown 5394 CAGAGAGG N708 TATCCTCT E503,S503,[N|S|E]503 5393 TCCTGGCA Unknown GTAAGGAG E505,S505,[N|S|E]505 5377 TCCTAAGC N704 AAGGAGTA S507,[N|S|E]507 5377 AAGAGGCA N711 ATAGTAGA E504,[N|S|E]504 5376 TCCTGAGC N704 GAAAGGAG E505,S505,[N|S|E]505 5366 CGTACTAG N702 GGAGTATC Unknown 5362 CGTGCTAG N702 TATCCTCT E503,S503,[N|S|E]503 5357 AGGCATAA N703 GTAAGGAG E505,S505,[N|S|E]505 5357 CGAGGCTG N710 AATGCATT Unknown 5353 AAGAGGCA N711 ATTGCATA E506,S506,[N|S|E]506 5353 CGAGGCTG N710 ACTGTATA E506,S506,[N|S|E]506 5352 AAGCGGCA N711 AGAGTAGA E504,[N|S|E]504 5351 GGACTCCT N705 GTACGCAC Unknown 5349 AGAGAGGA Unknown AGAGTAGA E504,[N|S|E]504 5346 AGGCAGAA N703 AAGGCGTC Unknown 5345 ATGAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 5322 CGAGGCTG N710 AGTGTAGT Unknown 5316 TAGGCATG N706 AAGGAGCA S507,[N|S|E]507 5310 AAGAGCCA N711 ACTGCATA E506,S506,[N|S|E]506 5309 CGAGGCTG N710 AGCGTAGC Unknown 5299 GGACTCCT N705 TAGCCTCT E503,S503,[N|S|E]503 5297 TCTACGCT E504,N709,[N|S|E]504 AGAGTAGA E504,[N|S|E]504 5297 GGACTCCC N705 TATCCTCT E503,S503,[N|S|E]503 5294 TAGGCATG N706 GAGGAGTG Unknown 5294 TAGGCAGG N706 TATCCTCT E503,S503,[N|S|E]503 5293 CAAGGCGA N701 CTAAGCCT S508,[N|S|E]508 5285 GGACTCCT N705 AAGGCGTT Unknown 5278 TCATGAGC N704 AAGGAGTA S507,[N|S|E]507 5278 TCCTGAGC N704 AAAGAGTA S507,[N|S|E]507 5274 TAAGGCGA N701 GTCAGGCG Unknown 5272 CGAGGCAG N710 AGAGTAGA E504,[N|S|E]504 5271 GGACTCCT N705 CAGCAGTA Unknown 5256 AGGAAGAA N703 AAGGAGTA S507,[N|S|E]507 5255 CGTACTAG N702 TATGCTCT E503,S503,[N|S|E]503 5250 GGACTCCT N705 GTAGAGTC Unknown 5249 TAAGGCGA N701 AAGAAGAA Unknown 5247 GCTACGCT N709 ACTCATAT Unknown 5232 CTCTCTAC N707 ACTGCTTA E506,S506,[N|S|E]506 5217 CCTACTAG N702 TATCCTCT E503,S503,[N|S|E]503 5214 TAGGGATG N706 AAGGAGTA S507,[N|S|E]507 5212 AAGAGGCA N711 AGAGTATC Unknown 5209 AAGAGTCA N711 ACTGCATA E506,S506,[N|S|E]506 5175 AAGAGGGA N711 AGAGTAGA E504,[N|S|E]504 5170 TAGGCATG N706 GTAACGAG E505,S505,[N|S|E]505 5170 TCCTGAGC N704 AAGGATTT Unknown 5169 CAGAGAGG N708 ACTGCTTA E506,S506,[N|S|E]506 5167 TAAGGCGA N701 TATCCACT E503,S503,[N|S|E]503 5157 GTAGAGGA N712 ATTGCATA E506,S506,[N|S|E]506 5153 CTAGGCTG N710 AGAGTAGA E504,[N|S|E]504 5153 AGGCAGAA N703 GTCAGGCG Unknown 5152 CGAGGATG N710 AGAGTAGA E504,[N|S|E]504 5145 TAAGGCGA N701 GTCCGGAG Unknown 5140 TAAGGCGA N701 TATCCTTC Unknown 5138 TAAGGCGC D708,N701,S521 AAGGAGTA S507,[N|S|E]507 5137 CAGCGAGG N708 CTAAGCCT S508,[N|S|E]508 5128 TAAGGCGA N701 GTACGCAC Unknown 5113 GATACGCT N709 AGAGTAGA E504,[N|S|E]504 5111 CAGAGAGG N708 ACTGCTAT Unknown 5107 CGTACTAG N702 AAGGGGTA S507,[N|S|E]507 5104 TAAGGCGA N701 AAGGGGTA S507,[N|S|E]507 5102 CGAGACTG N710 ACTGCATA E506,S506,[N|S|E]506 5100 TCCCTGAG Unknown TATCCTCT E503,S503,[N|S|E]503 5097 TAGGCATG N706 AAGCAGTG Unknown 5094 CGTCCTAG N702 AAGGAGTA S507,[N|S|E]507 5091 CTCTCTAC N707 AGAGTCGT Unknown 5088 CGAGACTG N710 AGAGTAGA E504,[N|S|E]504 5084 GTAGAGGA N712 ACTCCATT Unknown 5075 CGACTCCT N705 AGAGTAGA E504,[N|S|E]504 5074 TAGGCATT N706 GTAAGGAG E505,S505,[N|S|E]505 5073 CGAGGCTG N710 ACTGCTAT Unknown 5072 CAGAGAGG N708 AGAGCAGA E504,[N|S|E]504 5072 GGACTCCT N705 AAGGGGTA S507,[N|S|E]507 5065 AAGAGGCA N711 CCTCCATG Unknown 5058 TAAGGCGA N701 GTACGGAC D508 5057 AGGCAGAA N703 GAAGGAGG Unknown 5055 CGAGGCTG N710 AGAGTCGG Unknown 5052 GTAGCGGA N712 ACTGCATA E506,S506,[N|S|E]506 5043 GGAGAGGA N712 ACTGCATA E506,S506,[N|S|E]506 5042 TAAAGCGA N701 AAGGAGTA S507,[N|S|E]507 5039 TCCTGAGC N704 AAGGAGAT Unknown 5028 CGGAGAGG N708,S511 ACTGCATA E506,S506,[N|S|E]506 5021 TCCTGAAC N704 AAGGAGTA S507,[N|S|E]507 5019 AAGATGCA N711 ACTGCATA E506,S506,[N|S|E]506 5015 CGAGGCTG N710 AGAGTACA A503,E504,[N|S|E]504 5014 AAGAGGCG N711 ACTGCATA E506,S506,[N|S|E]506 5007 CGTACTAG N702 ACGGCGTA Unknown 5007 AAGAGGCA N711 ACTGGATA E506,S506,[N|S|E]506 5006 CGAGGCTG N710 AGAGTATC Unknown 5004 CTCACTAC N707 AGAGTAGA E504,[N|S|E]504 4999 AAGAGGCA N711 GCTGCATG Unknown 4997 CGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 4987 TAGGCATG N706 GTAAGGGT Unknown 4985 CAGAGAGG N708 CTTAGCCT D505,S508,[N|S|E]508 4979 AGACTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 4976 GCTACGCT N709 AGCGTAGA E504,[N|S|E]504 4966 TAGGCAAG N706 GTAAGGAG E505,S505,[N|S|E]505 4966 TAAGGCCA N701 TATCCTCT E503,S503,[N|S|E]503 4959 AGGCAGAA N703 GTAAGGGT Unknown 4957 GTACGCTA Unknown ACTGCATA E506,S506,[N|S|E]506 4954 TCCTGAGC N704 CAGCAGTG Unknown 4950 CGAGGCTG N710 CTGCGGCG Unknown 4950 TAAGGCGA N701 AAGGTGTA S507,[N|S|E]507 4947 CAGAGAGG N708 GCTGCCTC Unknown 4938 TCCTGAGC N704 GTAATGAG E505,S505,[N|S|E]505 4936 CGAGGCTG N710 AGTGCAGA Unknown 4924 TAGGCATG N706 GTACGTAG Unknown 4923 TAAGGCGA N701 CATCCTCC Unknown 4919 GCTACGCT N709 ACTCCATT Unknown 4913 CGTACTAG N702 AAGGAGAG Unknown 4908 AGGCAGAA N703 TAACCTCT E503,S503,[N|S|E]503 4907 GCTACGTA Unknown ACTGCATA E506,S506,[N|S|E]506 4898 TAACTCCT Unknown TATCCTCT E503,S503,[N|S|E]503 4896 CGTACTAG N702 AAGGACTA S507,[N|S|E]507 4890 GGACTCCT N705 GTCAGCAG Unknown 4890 TAGGCATG N706 ACTGCATT E506,S506,[N|S|E]506 4889 AGGCAGAA N703 AAGTAGTC Unknown 4880 CAGAGAGG N708 GGAGTAGA E504,[N|S|E]504 4874 CGTACTAG N702 CTAAGGAG E505,S505,[N|S|E]505 4871 GGACTCCT N705 AAGGAGAT Unknown 4870 AAGAGGCA N711 ACAGTAGA E504,[N|S|E]504 4861 CGACTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 4847 CTCTCTAC N707 AGAGTACG Unknown 4844 GTAGAGGA N712 CTGCGACG Unknown 4842 CTCTCTAC N707 ACAGTATA Unknown 4836 CGTACTCG N702 GTAAGGAG E505,S505,[N|S|E]505 4836 AGGCAGAA N703 AAGGACTC Unknown 4832 AAGAGGCC N711 AGAGTAGA E504,[N|S|E]504 4827 GTAGAGGA N712 AGGGAAGA Unknown 4826 TAGGCATG N706 CTAAGGAG E505,S505,[N|S|E]505 4826 TCCTAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 4826 CCCTGAGC N704 GTAAGGAG E505,S505,[N|S|E]505 4821 CAGAGAGG N708 CTCAGCCC Unknown 4820 GGACTCCT N705 GATCCTCC Unknown 4810 AAGAGCCA N711 AGAGTAGA E504,[N|S|E]504 4804 TCCTTAGC N704 AAGGAGTA S507,[N|S|E]507 4797 CGAGGCTG N710 AGAGTTGT Unknown 4796 GCAGAGGA N712 ACTGCATA E506,S506,[N|S|E]506 4795 TCCTGAGC N704 GTACGTAG Unknown 4793 CGTACTAG N702 AAGGTGTA S507,[N|S|E]507 4793 ATCTCTAC N707 AGAGTAGA E504,[N|S|E]504 4792 GTTACGCT N709 ACTGCATA E506,S506,[N|S|E]506 4782 CGTACTAG N702 GTAAGTCG Unknown 4775 GGCTCCTA Unknown GTAAGGAG E505,S505,[N|S|E]505 4762 GCTACGCT N709 ACTGCTAT Unknown 4762 TAAGGCGA N701 GCAAGGAG E505,S505,[N|S|E]505 4762 AGGCACAA N703 GTAAGGAG E505,S505,[N|S|E]505 4761 TCCTGAGC N704 GAAGGAGT Unknown 4761 GGACTCCT N705 TAGGAGTA S507,[N|S|E]507 4760 GCACGCTA Unknown ACTGCATA E506,S506,[N|S|E]506 4760 CAGAGGGG N708 ACTGCATA E506,S506,[N|S|E]506 4760 TAGGCATG N706 GTAATGAG E505,S505,[N|S|E]505 4756 CGAACTAG N702 GTAAGGAG E505,S505,[N|S|E]505 4754 CTCTCTAC N707 TAAGCCTT Unknown 4752 TAGGCATG N706 AAGGCGTT Unknown 4752 GGACTCCT N705 GTAAGCAC Unknown 4751 TAGGCATG N706 AAGGAGAT Unknown 4751 TAAGGCGA N701 CAGCAGCG Unknown 4750 CGTAGTAG N702 TATCCTCT E503,S503,[N|S|E]503 4747 TAGGCATG N706 AAAGAGTA S507,[N|S|E]507 4743 GGACTGCT N705 GTAAGGAG E505,S505,[N|S|E]505 4742 GTAGAGGA N712 ACTGGATA E506,S506,[N|S|E]506 4741 GCTACGCT N709 CCTGCATC Unknown 4730 AGGCAGAG N703 GTAAGGAG E505,S505,[N|S|E]505 4727 CGCTCTAC N707 ACTGCATA E506,S506,[N|S|E]506 4726 TAAGGCGA N701 AAGGAGCC Unknown 4720 CGAAGCTG N710 ACTGCATA E506,S506,[N|S|E]506 4708 TAACGCGA N701 TATCCTCT E503,S503,[N|S|E]503 4701 GCTACGCT N709 ACTGGATA E506,S506,[N|S|E]506 4692 TAGGCAGG N706 GTAAGGAG E505,S505,[N|S|E]505 4691 GGACTCGT N705 GTAAGGAG E505,S505,[N|S|E]505 4689 TCCTGGCA Unknown AAGGAGTA S507,[N|S|E]507 4689 CGTACTAG N702 GTAAGGAC E505,S505,[N|S|E]505 4683 TAGGCATG N706 TATGCTCT E503,S503,[N|S|E]503 4679 AGGCAAAA N703 TATCCTCT E503,S503,[N|S|E]503 4678 CCTCTCTA Unknown AGAGTAGA E504,[N|S|E]504 4677 TAAGGCGA N701 TGTCCTCT A503,E503,S503,[N|S|E]503 4671 AATAGGCA N711 AGAGTAGA E504,[N|S|E]504 4666 TCCTGATC N704 AAGGAGTA S507,[N|S|E]507 4663 GTAGAGTA N712 ACTGCATA E506,S506,[N|S|E]506 4659 TCCGGAGC D702,N704 TATCCTCT E503,S503,[N|S|E]503 4658 GTAGGGAA Unknown ACTGCATA E506,S506,[N|S|E]506 4642 CAGAGGCA N711 AGAGTAGA E504,[N|S|E]504 4635 CGTAGAGG Unknown AGAGTAGA E504,[N|S|E]504 4632 CGAGGCTG N710 CTAAGCAT S508,[N|S|E]508 4632 CGAAGCTG N710 AGAGTAGA E504,[N|S|E]504 4632 CGAGGCTG N710 AGAGGAGG Unknown 4630 TAGGCATG N706 AAGGATTA S507,[N|S|E]507 4623 GGACTCCT N705 ACTGCATT E506,S506,[N|S|E]506 4620 TCCTGGGC N704 GTAAGGAG E505,S505,[N|S|E]505 4603 CGAGGCTG N710 TGAGCTCG Unknown 4602 GTAGAGGC D502,N712 ACTGCATA E506,S506,[N|S|E]506 4592 TAGGCGTG N706 GTAAGGAG E505,S505,[N|S|E]505 4586 CAGAGAGG N708 CTAAGTCT S508,[N|S|E]508 4583 AAGAGGCA N711 AGTGTATA Unknown 4580 TAAGGCGA N701 GAATCTCG Unknown 4574 TCCTGAGC N704 AATCCTTT Unknown 4574 GGACTCCT N705 CTGCAGTG Unknown 4574 TCCTGAGC N704 GTAAGGGT Unknown 4570 TCCTGAGC N704 GTGCGGCG Unknown 4569 TAAGGCGA N701 GAAGGAGT Unknown 4560 CGAGGCTG N710 ACTGCTTA E506,S506,[N|S|E]506 4556 TAAGGCGA N701 TAGGAGTA S507,[N|S|E]507 4554 TAAGGCGA N701 AAGGCGTC Unknown 4553 GTAGAGGA N712 AGAGATCG Unknown 4552 CTCTCAAC N707 ACTGCATA E506,S506,[N|S|E]506 4552 CTCTCTAC N707 CTATGCCT S508,[N|S|E]508 4545 AAGAGGCA N711 AGAGTCGC Unknown 4544 CGTACTAG N702 AAGCAGTG Unknown 4538 CTAAGGCG Unknown GTAAGGAG E505,S505,[N|S|E]505 4536 CAGAGACG N708 ACTGCATA E506,S506,[N|S|E]506 4536 TAGGCATG N706 CAGCAGTG Unknown 4534 CGAGGCTG N710 ACAGCATA E506,S506,[N|S|E]506 4532 CAGAGAAG N708 CTAAGCCT S508,[N|S|E]508 4531 GCTACGGT N709 ACTGCATA E506,S506,[N|S|E]506 4530 AGGCAGAA N703 GTAAGCAC Unknown 4524 TAAGTCGA N701 AAGGAGTA S507,[N|S|E]507 4524 AGGCAGAA N703 GACTCTAC Unknown 4523 GGACTCCT N705 AAAGAGTA S507,[N|S|E]507 4521 TAAGGCGA N701 TCCTCTTC Unknown 4519 GTAGAGGA N712 AGACTAGC Unknown 4516 TCCGAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 4515 CTCTCTAC N707 CTTAGCCT D505,S508,[N|S|E]508 4514 CAGGGAGG N708 ACTGCATA E506,S506,[N|S|E]506 4510 AGACTCCT N705 AAGGAGTA S507,[N|S|E]507 4505 CGAGGCTG N710 ACTTCATA E506,S506,[N|S|E]506 4505 TCCTGAGC N704 TTTCGTCT Unknown 4504 TAAGGCGA N701 GTAAGCAC Unknown 4495 TCCTGAGC N704 TCTCCTCC Unknown 4488 GGACTCCT N705 GTCAGGAC D508 4488 AGGCAGAA N703 GTCAGCAG Unknown 4486 AGGCAGAA N703 AGGGAGTA S507,[N|S|E]507 4485 GGACTCCT N705 TAACCTCT E503,S503,[N|S|E]503 4484 AGGCAGAA N703 AAGGAGCG Unknown 4483 GGACTCCT N705 GTCCGCAC Unknown 4482 CTCTCTCC N707 ACTGCATA E506,S506,[N|S|E]506 4473 CTCTCTAC N707 TCTGCATT Unknown 4473 TCCTGAGC N704 TAAGGAGG Unknown 4470 GGACTCCT N705 TGTCCTCT A503,E503,S503,[N|S|E]503 4465 TCCTGAGC N704 TATCCGCT E503,S503,[N|S|E]503 4456 TAAGGCGA N701 GTCAGCAG Unknown 4446 TAGGCATG N706 TATCCTTC Unknown 4444 TAAGGCCA N701 GTAAGGAG E505,S505,[N|S|E]505 4444 TAGGCATT N706 AAGGAGTA S507,[N|S|E]507 4435 TCCTGAGC N704 GTGCGGAG Unknown 4433 GTAGGGGA N712 ACTGCATA E506,S506,[N|S|E]506 4431 CGAACTAG N702 AAGGAGTA S507,[N|S|E]507 4429 CGGCAGAA N703 AAGGAGTA S507,[N|S|E]507 4428 AGGCAGAA N703 AAGGTGTA S507,[N|S|E]507 4421 GGACTCCT N705 AAGGAGCT Unknown 4421 CCCTCTAC N707 AGAGTAGA E504,[N|S|E]504 4420 GCTACGCT N709 ACTCCATA E506,S506,[N|S|E]506 4419 GGACTCCT N705 ACGGCGTA Unknown 4418 TAGGCATG N706 GTAGAGTC Unknown 4417 CAGAGAGG N708 ACGGCATA E506,S506,[N|S|E]506 4412 AAGAGGCA N711 ACTGCAAA E506,S506,[N|S|E]506 4409 TCCTGAGC N704 AAGCAGTC Unknown 4409 TAAGGGGA N701 GTAAGGAG E505,S505,[N|S|E]505 4406 TCCTGAGC N704 GCACCTCG Unknown 4404 TAGGCGTG N706 TATCCTCT E503,S503,[N|S|E]503 4395 TAGGCAAG N706 AAGGAGTA S507,[N|S|E]507 4394 TAGGCATG N706 AAGGGGTA S507,[N|S|E]507 4392 CAGAGAGG N708 ACTGGATA E506,S506,[N|S|E]506 4385 AGGCAGAA N703 GTACGCAC Unknown 4385 GGACTCCT N705 ACGGAGTC Unknown 4382 TAGAGAGG N708 ACTGCATA E506,S506,[N|S|E]506 4370 TAAGACGA N701 ACTGCATA E506,S506,[N|S|E]506 4368 CGTACAAG N702 TATCCTCT E503,S503,[N|S|E]503 4366 TAGGCATG N706 AAGGTGTA S507,[N|S|E]507 4361 CCCTGAGC N704 AAGGAGTA S507,[N|S|E]507 4359 CTCTCTAC N707 AGTGCATA E506,S506,[N|S|E]506 4358 GCTAGGCT N709 CTAAGCCT S508,[N|S|E]508 4358 CGTACTGG N702 GTAAGGAG E505,S505,[N|S|E]505 4353 AAGGGGCA N711 ACTGCATA E506,S506,[N|S|E]506 4351 TCCTGAGC N704 GAGGAGTG Unknown 4347 CGAGGCTG N710 AGCGTAGG Unknown 4344 CCCTGAGC N704 AGAGTAGA E504,[N|S|E]504 4343 TAAGGCGA N701 AAGGAGAT Unknown 4340 AGGCAGAA N703 GAGAGGAG Unknown 4337 AGGCGGAA N703 AAGGAGTA S507,[N|S|E]507 4337 CGAGGCTG N710 GTAAGGAG E505,S505,[N|S|E]505 4336 CGTACTAG N702 GTGCGGAG Unknown 4336 CCGTACTA Unknown GTAAGGAG E505,S505,[N|S|E]505 4335 TAGGCATG N706 GAAAGGAG E505,S505,[N|S|E]505 4332 TCCTGAGC N704 GTAGAGTC Unknown 4329 CGAGGCTA N710 CTAAGCCT S508,[N|S|E]508 4328 CTCTCTAC N707 ATAAGCCT S508,[N|S|E]508 4328 GGACTCCT N705 TAGGAGTT Unknown 4326 TGAGGCTG N710 ACTGCATA E506,S506,[N|S|E]506 4322 TAAGGCGA N701 GAGGCGTC Unknown 4321 GCTACGCT N709 AGTGCATA E506,S506,[N|S|E]506 4318 CTCTCTAC N707 AGTAGATC Unknown 4315 CGTTCTAG A506,N702 TATCCTCT E503,S503,[N|S|E]503 4308 CGTACTAG N702 AGATCTCG Unknown 4301 GCTACGCT N709 AGAGTAGT E504,[N|S|E]504 4298 CGAGGATG N710 ACTGCATA E506,S506,[N|S|E]506 4296 TAAGGCGA N701 ACGGCGTA Unknown 4295 TCCTCAGC N704 AAGGAGTA S507,[N|S|E]507 4295 TAAGGGGA N701 TATCCTCT E503,S503,[N|S|E]503 4294 GGACTCCT N705 GTCAGGCG Unknown 4289 CTCTACAT Unknown AGAGTAGA E504,[N|S|E]504 4288 GGAATCCT N705 GTAAGGAG E505,S505,[N|S|E]505 4287 CGACTAGA Unknown AAGGAGTA S507,[N|S|E]507 4284 TAAGGCGA N701 GAGGAGCC Unknown 4283 CGATGCTG N710 AGAGTAGA E504,[N|S|E]504 4282 CTAGGCTG N710 ACTGCATA E506,S506,[N|S|E]506 4281 CGAGGCTG N710 ATTGCATA E506,S506,[N|S|E]506 4277 TCCTGAGC N704 CAGGAGTG Unknown 4273 TCCAGAGC N704 GTAAGGAG E505,S505,[N|S|E]505 4273 GTATAGGA N712 ACTGCATA E506,S506,[N|S|E]506 4268 AGGCAGAA N703 TATCCTTT E503,S503,[N|S|E]503 4265 TAAGGCCG Unknown GTAAGGAG E505,S505,[N|S|E]505 4263 GGACTCCT N705 CTGCAGCG Unknown 4256 CGTGCTAG N702 GTAAGGAG E505,S505,[N|S|E]505 4255 CCTACGCT N709 CTAAGCCT S508,[N|S|E]508 4255 CGACTAGA Unknown GTAAGGAG E505,S505,[N|S|E]505 4255 CGTAATAG N702,S518 AAGGAGTA S507,[N|S|E]507 4251 AGGCGAAA D505 GTAAGGAG E505,S505,[N|S|E]505 4250 GCTATGCT N709 CTAAGCCT S508,[N|S|E]508 4249 GGCTCCTA Unknown AAGGAGTA S507,[N|S|E]507 4245 GGACTCCT N705 GCAAGGAG E505,S505,[N|S|E]505 4241 CGTACTAG N702 TATCCTTC Unknown 4240 CGTACAGA Unknown TATCCTCT E503,S503,[N|S|E]503 4240 AAGAGGCA N711 CATGCATA Unknown 4233 AGGCAGAA N703 CAGCAGTA Unknown 4232 CGTACTCG N702 AAGGAGTA S507,[N|S|E]507 4227 GCTACCTA Unknown ACTGCATA E506,S506,[N|S|E]506 4226 GTAGAGGA N712 GGCGTCGA Unknown 4216 TCCTGAGC N704 AAGGATTA S507,[N|S|E]507 4216 CAGGCATG N706 ACTGCATA E506,S506,[N|S|E]506 4212 CTCTATAC N707 CTAAGCCT S508,[N|S|E]508 4212 AAGAGGCA N711 CGAGTCGA S513 4198 TCCTGACC N704 GTAAGGAG E505,S505,[N|S|E]505 4197 ATCTCTAC N707 ACTGCATA E506,S506,[N|S|E]506 4194 TCCTGAGG N704 TATCCTCT E503,S503,[N|S|E]503 4193 GTAGAGGA N712 GGCGTAGA Unknown 4184 GAGAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 4183 AGGCAGAT N703 AAGGAGTA S507,[N|S|E]507 4175 AGGCAGAA N703 GTACGCCC Unknown 4171 GTAGAGGA N712 AGTGTAGC Unknown 4171 TAGAGGCA N711 ACTGCATA E506,S506,[N|S|E]506 4170 GTCGAGGA N712 AGAGTAGA E504,[N|S|E]504 4159 AGGCAGAA N703 AAGGCGTT Unknown 4156 TAAGGCGA N701 GTACGCCC Unknown 4154 ATGAGGCA N711 AGAGTAGA E504,[N|S|E]504 4150 ATAGAGGA D502,N712 ACTGCATA E506,S506,[N|S|E]506 4148 TAGCCATG N706 AAGGAGTA S507,[N|S|E]507 4146 TAAGGCTA N701,S521 AAGGAGTA S507,[N|S|E]507 4142 CCGTACTA Unknown AAGGAGTA S507,[N|S|E]507 4139 CGTACTAG N702 TAAGGAGG Unknown 4139 GGAATCCT N705 TATCCTCT E503,S503,[N|S|E]503 4138 CAGAGAGG N708 CCTGCATT Unknown 4134 AGTACTAG N702 TATCCTCT E503,S503,[N|S|E]503 4133 CGTACTGG N702 AAGGAGTA S507,[N|S|E]507 4130 TAGGGCGA N701 GTAAGGAG E505,S505,[N|S|E]505 4123 GCTACGCC N709 CTAAGCCT S508,[N|S|E]508 4120 GTAGAGGA N712 AGTGTTGT Unknown 4116 GCTACGCT N709 GTAAGGAG E505,S505,[N|S|E]505 4115 CCCTCTAC N707 ACTGCATA E506,S506,[N|S|E]506 4108 GCTACGCT N709 AAGGAGTA S507,[N|S|E]507 4108 GTAGAGGA N712 ACTGCTTA E506,S506,[N|S|E]506 4106 CGAGGCTG N710 AGGGTGGA Unknown 4104 CTCTCTAT E502,S502,[N|S|E]502 ACTGCATA E506,S506,[N|S|E]506 4104 GGACTGCT N705 AAGGAGTA S507,[N|S|E]507 4101 TAGGCAGG N706 AAGGAGTA S507,[N|S|E]507 4098 TCCTGAGC N704 AAGGCGTC Unknown 4098 GTACAGGA N712 ACTGCATA E506,S506,[N|S|E]506 4097 GTAGAGGA N712 AGAGCATA E503,S503,[N|S|E]503 4095 CCTGAGCA Unknown AAGGAGTA S507,[N|S|E]507 4095 CGAGGCTG N710 AGTAGATC Unknown 4094 CAGAAAGG N708 ACTGCATA E506,S506,[N|S|E]506 4094 CTCTCTGC N707 AGAGTAGA E504,[N|S|E]504 4087 TAAGGCGA N701 GTAGAGTC Unknown 4085 AGGCAGAA N703 GTACGGAC D508 4083 TCCTGAGC N704 TATCCTCG E503,S503,[N|S|E]503 4080 CGTACTAG N702 GAGGAGTG Unknown 4073 GTTGAGGA N712 AGAGTAGA E504,[N|S|E]504 4053 CAGAGAGG N708 GTAAGGAG E505,S505,[N|S|E]505 4050 CGTACTAG N702 CAGGAGTG Unknown 4048 AGGCAGAG N703 AAGGAGTA S507,[N|S|E]507 4046 CTTTCTAC N707 ACTGCATA E506,S506,[N|S|E]506 4039 CGTACTAG N702 AAGGCGTC Unknown 4036 AAGAGGCA N711 ACTCCATC Unknown 4035 TAGGCATG N706 TCCTCTTC Unknown 4027 TAACTCCT Unknown GTAAGGAG E505,S505,[N|S|E]505 4027 AGGCAGAA N703 AAGCAGCT Unknown 4025 CGTAGTAG N702 GTAAGGAG E505,S505,[N|S|E]505 4024 AGGCAGAA N703 AACGAGTA S507,[N|S|E]507 4022 AAGAGGCA N711 ACTCCTTT Unknown 4019 TAAGGCCG Unknown TATCCTCT E503,S503,[N|S|E]503 4018 TAAGGCGA N701 GAAGGAGG Unknown 4017 CGGGCTGA Unknown ACTGCATA E506,S506,[N|S|E]506 4015 AGGCAGAA N703 GTCCGGAG Unknown 4015 CAGAGAGG N708 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 4014 GGACTCGT N705 TATCCTCT E503,S503,[N|S|E]503 4011 CTTTCTAC N707 AGAGTAGA E504,[N|S|E]504 4011 CAGAAGGA Unknown ACTGCATA E506,S506,[N|S|E]506 4010 AAGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 4009 TAAGCCGA N701 AAGGAGTA S507,[N|S|E]507 4005 AGGCAGAA N703 AAGAAGTT Unknown 4002 AAGATGCA N711 AGAGTAGA E504,[N|S|E]504 3993 TAGAGAGG N708 CTAAGCCT S508,[N|S|E]508 3992 GCTACGCT N709 ACTGCCTC Unknown 3992 CGTACTAC N702 TATCCTCT E503,S503,[N|S|E]503 3988 AGGCAGAA N703 AAGAAGAG Unknown 3987 GGACTCGT N705 AAGGAGTA S507,[N|S|E]507 3987 GCTACGCT N709 ACTGCATG E506,S506,[N|S|E]506 3984 TAAGGCGA N701 TACCCTCT E503,S503,[N|S|E]503 3983 GGAATCCT N705 AAGGAGTA S507,[N|S|E]507 3983 CGTCTAGA Unknown TATCCTCT E503,S503,[N|S|E]503 3972 CTCTCTAC N707 CCTGCCTA Unknown 3968 CGTACTAG N702 AATCCTTT Unknown 3966 CCTGAGCA Unknown GTAAGGAG E505,S505,[N|S|E]505 3962 CGAGCCTG N710 AGAGTAGA E504,[N|S|E]504 3958 GGACTCCT N705 ATGGAGTG Unknown 3953 CGAGGCTG N710 ACAGTAGA E504,[N|S|E]504 3948 CGTACTAG N702 CATCCTCC Unknown 3945 CGTACTAG N702 AAGGAGAT Unknown 3940 CAAGAGGA Unknown ACTGCATA E506,S506,[N|S|E]506 3939 GTAGAGGA N712 GTAGTAGG Unknown 3937 AAGCAGAA N703 ACTGCATA E506,S506,[N|S|E]506 3935 GCTAAGCA Unknown ACTGCATA E506,S506,[N|S|E]506 3923 CGAGGCTG N710 CGCGTAGA Unknown 3921 AAGAGGCA N711 GCTGCCTA Unknown 3918 CTAAGGCG Unknown TATCCTCT E503,S503,[N|S|E]503 3916 GCTACACT N709 AGAGTAGA E504,[N|S|E]504 3916 AAGGGGCA N711 AGAGTAGA E504,[N|S|E]504 3914 CTCTCTCC N707 AGAGTAGA E504,[N|S|E]504 3911 GTAGAGGA N712 CTGCTACG Unknown 3904 TAAGGCGT N701 TATCCTCT E503,S503,[N|S|E]503 3904 CGAGGCAG N710 ACTGCATA E506,S506,[N|S|E]506 3903 GTAGAGGA N712 CGAGTGGG Unknown 3902 CAAGGCGA N701 AGAGTAGA E504,[N|S|E]504 3896 CCGAGGCT Unknown AGAGTAGA E504,[N|S|E]504 3882 CTTACTAG N702,S518 GTAAGGAG E505,S505,[N|S|E]505 3878 CTCTCAAC N707 AGAGTAGA E504,[N|S|E]504 3877 AAGAGTCA N711 AGAGTAGA E504,[N|S|E]504 3877 CAGAGAGG N708 CCTGCATC Unknown 3876 TAGGCATG N706 AAGGAGCT Unknown 3874 CAGAGAGG N708 AGAGAAGA A503,E504,[N|S|E]504 3873 TCCTGAGC N704 TATCCTGT E503,S503,[N|S|E]503 3873 TCCTGAGC N704 ACGGCGTA Unknown 3871 GTAGAGGA N712 ACAGTATA Unknown 3869 AAGAGGCA N711 AGAGTAAG Unknown 3857 CTCTGTAC N707 AGAGTAGA E504,[N|S|E]504 3851 CGTACTAG N702 GTAATGAG E505,S505,[N|S|E]505 3851 TCCTGAGC N704 CATCGTCT Unknown 3848 CGTACTAG N702 TACCCTCT E503,S503,[N|S|E]503 3847 CTCTCTAC N707 CTGCGGCG Unknown 3847 CAGGCAGA Unknown GTAAGGAG E505,S505,[N|S|E]505 3847 AGACAGAA N703 TATCCTCT E503,S503,[N|S|E]503 3847 TCCAGAGC N704 AAGGAGTA S507,[N|S|E]507 3844 GGACTCCT N705 TATCCTTC Unknown 3842 TCCTGAGC N704 TATCCCCT E503,S503,[N|S|E]503 3840 AGGCAGAA N703 AAGTATCG Unknown 3833 TCCTGAGC N704 AAGGAGAG Unknown 3831 CGAGGTGA Unknown AGAGTAGA E504,[N|S|E]504 3831 CAGAGAGG N708 GAGTAGAT Unknown 3826 AAGAGGCA N711 AGTAGATC Unknown 3826 TAGGCGTG N706 AAGGAGTA S507,[N|S|E]507 3825 CGAGGCTG N710 AAGGAGTA S507,[N|S|E]507 3825 TAAGGCGA N701 CAGCAGTA Unknown 3811 CGTACTAG N702 ATGGAGTG Unknown 3810 TTCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 3809 CGGACTAG N702 TATCCTCT E503,S503,[N|S|E]503 3805 AAGAGGCA N711 AATGAATA Unknown 3804 GCAACGCT N709 ACTGCATA E506,S506,[N|S|E]506 3803 GTAGATGA N712 ACTGCATA E506,S506,[N|S|E]506 3803 TAGGCATG N706 CAGGAGTG Unknown 3792 AGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 3791 CGTACTAG N702 CTGCAGCG Unknown 3789 AGGCAGAA N703 AAGCAGCA Unknown 3787 AGGCAGAA N703 GAGGAGCC Unknown 3784 CGAGGCTG N710 ACTCCATT Unknown 3779 GGACACCT N705 GTAAGGAG E505,S505,[N|S|E]505 3774 TCCTGAGC N704 CTGCAGCG Unknown 3774 TAAGGCGA N701 TATCCTGT E503,S503,[N|S|E]503 3771 TCCTGAGC N704 AGGGAGTA S507,[N|S|E]507 3765 CGGACTAG N702 GTAAGGAG E505,S505,[N|S|E]505 3763 CGTACTAG N702 TATCCTCG E503,S503,[N|S|E]503 3761 GGACTCCT N705 AAGGCGTC Unknown 3758 AGGCATAA N703 AAGGAGTA S507,[N|S|E]507 3753 CGTACTAG N702 AAGGAGCC Unknown 3751 TAAGGCGT N701 GTAAGGAG E505,S505,[N|S|E]505 3746 CAGAGAGG N708 ACTCCATA E506,S506,[N|S|E]506 3739 CCTACTAG N702 AAGGAGTA S507,[N|S|E]507 3738 CGTACTAG N702 TCCTCTTC Unknown 3738 GCTCGCTA N716 ACTGCATA E506,S506,[N|S|E]506 3738 TAAGGGGA N701 AAGGAGTA S507,[N|S|E]507 3737 AGGCCAGA Unknown GTAAGGAG E505,S505,[N|S|E]505 3736 CGAGGCTT N710 AGAGTAGA E504,[N|S|E]504 3735 TAAGGCGA N701 GTAAGGGT Unknown 3733 TTCTCTAC N707 CTAAGCCT S508,[N|S|E]508 3731 CCTACTAG N702 GTAAGGAG E505,S505,[N|S|E]505 3726 TAGGCATG N706 CATCCTCC Unknown 3726 TAAGGCGA N701 ACGGAGTC Unknown 3723 AGGCAGCA N703 TATCCTCT E503,S503,[N|S|E]503 3717 AAAAAAAA Unknown TATCCTCT E503,S503,[N|S|E]503 3713 TAGGCATG N706 TAGGAGTA S507,[N|S|E]507 3712 CGAGGCTG N710 GGAGTCGA Unknown 3712 TAAGGCGA N701 GTAAGTCG Unknown 3712 CAGAGAGG N708 AGAGTGGA E504,[N|S|E]504 3709 AAGAGGCG N711 AGAGTAGA E504,[N|S|E]504 3709 TCTTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 3704 AAAAAAAA Unknown CTAAGCCT S508,[N|S|E]508 3704 TCTCTACA Unknown CTAAGCCT S508,[N|S|E]508 3700 TAAGGCCA N701 AAGGAGTA S507,[N|S|E]507 3697 TTCTCTAC N707 GTAAGGAG E505,S505,[N|S|E]505 3697 GGACTGCT N705 TATCCTCT E503,S503,[N|S|E]503 3694 GGGCAGAA N703 GTAAGGAG E505,S505,[N|S|E]505 3691 GTAGAGGA N712 CGACTAGA Unknown 3690 TAAAAAAA Unknown TATCCTCT E503,S503,[N|S|E]503 3684 AAGAGGCA N711 AGCGTAGC Unknown 3680 GTAGAGGA N712 ACTGCAGA E506,S506,[N|S|E]506 3680 TAGGATGA Unknown GTAAGGAG E505,S505,[N|S|E]505 3679 CTAGAGGA N712 CTAAGCCT S508,[N|S|E]508 3678 CTTACTAG N702,S518 AAGGAGTA S507,[N|S|E]507 3677 CGAGGCGG N710 ACTGCATA E506,S506,[N|S|E]506 3668 AGGCCGAA N703 GTAAGGAG E505,S505,[N|S|E]505 3668 TTAGAGGA N712 GTAAGGAG E505,S505,[N|S|E]505 3660 GCTACGCT N709 CTAAGACT S508,[N|S|E]508 3658 CTCTCTAC N707 ACTCCTTT Unknown 3656 CTCTCTAC N707 CTCAGCCC Unknown 3651 TCCTGAGC N704 TCTCCTTT Unknown 3647 GCTACTCT E504,N709,[N|S|E]504 AGAGTAGA E504,[N|S|E]504 3643 TAGGCATG N706 GTACGCAG Unknown 3643 GGACTCCT N705 TATGCTCT E503,S503,[N|S|E]503 3641 TAGGCCAT Unknown GTAAGGAG E505,S505,[N|S|E]505 3641 GCTACGCT N709 GCTGCATC Unknown 3640 TAGGCCAT Unknown TATCCTCT E503,S503,[N|S|E]503 3639 TCCTGGGC N704 AAGGAGTA S507,[N|S|E]507 3636 TAAGGCGA N701 AATCCTTT Unknown 3636 TAAGGCGA N701 TAGGAGTT Unknown 3635 GTAGAGGA N712 ACGGCATA E506,S506,[N|S|E]506 3628 CTCTCTAC N707 AGCGTCGA Unknown 3627 GTAGAGGA N712 CGCGTCGC Unknown 3626 CAGGCATG N706 CTAAGCCT S508,[N|S|E]508 3626 CTCTGTAC N707 ACTGCATA E506,S506,[N|S|E]506 3626 GTAGAGGA N712 AGAGTTGG Unknown 3611 CCGAGAGG N708 ACTGCATA E506,S506,[N|S|E]506 3606 AGTACTAG N702 GTAAGGAG E505,S505,[N|S|E]505 3604 CTAAGGCG Unknown AAGGAGTA S507,[N|S|E]507 3604 CGGGGCTG N710 AGAGTAGA E504,[N|S|E]504 3601 CCAGGCTG N710 AGAGTAGA E504,[N|S|E]504 3601 AGGAGAAA Unknown GTAAGGAG E505,S505,[N|S|E]505 3595 GTAGAGGA N712 TGAGTAGT Unknown 3591 GGAGTCCT N705 TATCCTCT E503,S503,[N|S|E]503 3590 AGGCAGAA N703 CTGCAGTG Unknown 3588 TAGGATGA Unknown TATCCTCT E503,S503,[N|S|E]503 3588 CGATGCTG N710 ACTGCATA E506,S506,[N|S|E]506 3587 TCCCTGAG Unknown GTAAGGAG E505,S505,[N|S|E]505 3586 GTCTCTAC N707 AGAGTAGA E504,[N|S|E]504 3582 CGAGGCTG N710 ACTGGATA E506,S506,[N|S|E]506 3565 CTCTCTAC N707 CTAACCCT S508,[N|S|E]508 3562 CGAGGCTG N710 AGAGTAAG Unknown 3560 CGTGCTAG N702 AAGGAGTA S507,[N|S|E]507 3555 GGACTCCT N705 TAAGGAGG Unknown 3554 TAGAGGCA N711 AGAGTAGA E504,[N|S|E]504 3552 CAGAGATG N708 ACTGCATA E506,S506,[N|S|E]506 3552 CTCTCTAC N707 AGAGTAAG Unknown 3550 TCCTGACC N704 AAGGAGTA S507,[N|S|E]507 3550 GCTACGCT N709 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 3545 GTAGAGGA N712 AGATCGTC Unknown 3544 CGTACAAG N702 GTAAGGAG E505,S505,[N|S|E]505 3541 GGACCCTA Unknown GTAAGGAG E505,S505,[N|S|E]505 3539 GGAGTCCT N705 GTAAGGAG E505,S505,[N|S|E]505 3538 CTCTCACA Unknown AGAGTAGA E504,[N|S|E]504 3535 TCGTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 3532 CTCTCTAC N707 AGCGTAGG Unknown 3530 CAGAGAGG N708 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 3526 AAGAGGCA N711 AGAGCATA E503,S503,[N|S|E]503 3525 CAGAGAGG N708 ATTGCATA E506,S506,[N|S|E]506 3520 GTAGAGGA N712 CGACTACG Unknown 3509 CTCTCTAC N707 AATGCATT Unknown 3509 CTCTCTAC N707 CTAGCCTT S520 3508 CGCGGCTG N710 AGAGTAGA E504,[N|S|E]504 3507 TAAGGCGA N701 TATTCTCT A503,E503,S503,[N|S|E]503 3504 CGAGCCTG N710 ACTGCATA E506,S506,[N|S|E]506 3495 TAGGCATG N706 AAGCAGTC Unknown 3492 CAAAGAGG N708 ACTGCATA E506,S506,[N|S|E]506 3484 AGTACTAG N702 AAGGAGTA S507,[N|S|E]507 3482 GTAGAGGA N712 ACTTCATA E506,S506,[N|S|E]506 3481 AGGCAGAC N703 GTAAGGAG E505,S505,[N|S|E]505 3479 CAGAGAGG N708 CTGCGGCG Unknown 3477 TAAGGCGA N701 AATGCATA E506,S506,[N|S|E]506 3475 CTCTCTAC N707 CGAGTAGT Unknown 3475 CTCTCTAC N707 CGCGTAGC Unknown 3473 TAACGCGA N701 AAGGAGTA S507,[N|S|E]507 3467 TAAGGCCG Unknown AAGGAGTA S507,[N|S|E]507 3465 GCTGCGCT N709 ACTGCATA E506,S506,[N|S|E]506 3462 AGGCAGAA N703 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 3462 TAGGCATG N706 TAGGAGTT Unknown 3462 CGAGGCTG N710 ACTCCATA E506,S506,[N|S|E]506 3459 CGGACTCC Unknown GTAAGGAG E505,S505,[N|S|E]505 3459 CGTACCAG N702 TATCCTCT E503,S503,[N|S|E]503 3453 AGGCAGAA N703 AAGTAGTG Unknown 3453 CGTACTAG N702 CAGCAGTG Unknown 3452 AGGCAGAA N703 TTAAGGAG E505,S505,[N|S|E]505 3450 AAGAGGCA N711 AAAGAAGA Unknown 3444 GTAGAGGA N712 AGAGAGGA Unknown 3442 TAAGGCGA N701 TATCCTCG E503,S503,[N|S|E]503 3439 CTCTCTAC N707 AGAGTGGG Unknown 3438 AGGCACAA N703 AAGGAGTA S507,[N|S|E]507 3432 TAGGCATG N706 TGATCTCG Unknown 3426 CAAAAAAA Unknown ACTGCATA E506,S506,[N|S|E]506 3425 AGGCAGAA N703 GTAAGCCG Unknown 3423 CAGAGAGG N708 CTAAACCT S508,[N|S|E]508 3418 CGTACAGA Unknown GTAAGGAG E505,S505,[N|S|E]505 3416 GGACTCCT N705 AAGAAGAA Unknown 3412 CGGCAGAA N703 AGAGTAGA E504,[N|S|E]504 3412 CAAGAGGC Unknown ACTGCATA E506,S506,[N|S|E]506 3406 CTCTCTAC N707 CCTGCCTT Unknown 3403 ATGCAGAA D705,N703 ACTGCATA E506,S506,[N|S|E]506 3402 CGAGGCTG N710 AGAGTCGT Unknown 3398 TAAGGCGA N701 TATCCGCT E503,S503,[N|S|E]503 3394 AGGCAGAA N703 GAGGCGTC Unknown 3391 CTACGCTA Unknown ACTGCATA E506,S506,[N|S|E]506 3391 CGAGGCTG N710 AGATTAGA E504,[N|S|E]504 3390 GCTACGCT N709 ATAAGCCT S508,[N|S|E]508 3386 TAAGGCGA N701 GAGTATCG Unknown 3385 CTCTCTAC N707 AGACTAGT Unknown 3381 AAGAAGAA Unknown AGAGTAGA E504,[N|S|E]504 3378 GTGGAGGA N712 ACTGCATA E506,S506,[N|S|E]506 3377 CAGAGAGG N708 AGAGTTGA E504,[N|S|E]504 3376 AAGAGGCA N711 AGAGTACG Unknown 3376 CGTACTAG N702 GAAGGAGT Unknown 3376 GGACTCCT N705 TCCTCTTC Unknown 3374 GGACTCCT N705 AAGGAGAG Unknown 3373 TAAGGCGA N701 GTCAGGAC D508 3371 TAGAGGAA Unknown ACTGCATA E506,S506,[N|S|E]506 3370 CGAGGGTG N710 AGAGTAGA E504,[N|S|E]504 3369 CTCTCTAC N707 CTACGCCC Unknown 3368 TCCTGAGC N704 AATCATCT Unknown 3364 CGAGGCTG N710 ACTGCCTC Unknown 3362 TCCTAAAC Unknown GTAAGGAG E505,S505,[N|S|E]505 3362 AAGAGGCA N711 AGATTAGA E504,[N|S|E]504 3359 CGAGGCTT N710 ACTGCATA E506,S506,[N|S|E]506 3358 GTACTCCT N705 ACTGCATA E506,S506,[N|S|E]506 3356 GGACCCTA Unknown AAGGAGTA S507,[N|S|E]507 3353 AAGAGGCA N711 ACTGCACA E506,S506,[N|S|E]506 3353 TCCTGAGC N704 GAAGGAGG Unknown 3352 TAGGCCAT Unknown AAGGAGTA S507,[N|S|E]507 3352 CAGAGAGG N708 CGAGTAGG Unknown 3351 AAGAGGCA N711 GGAGTCGA Unknown 3345 CTCTCTCA Unknown AGAGTAGA E504,[N|S|E]504 3345 TAAGGCGA N701 ATGGAGTG Unknown 3344 CAGAGCGG N708 AGAGTAGA E504,[N|S|E]504 3341 AGCCAGAA N703,S515 GTAAGGAG E505,S505,[N|S|E]505 3340 AGGCAGAA N703 GGCTCTAC Unknown 3340 GTAGAGGA N712 AGAGGATC E503,S503,[N|S|E]503 3339 AGGAGAAA Unknown AAGGAGTA S507,[N|S|E]507 3337 GGACTCCT N705 GAGGCGTC Unknown 3331 CAGAGAGG N708 CTAAGGCT S508,[N|S|E]508 3328 GCACTCCT N705 ACTGCATA E506,S506,[N|S|E]506 3327 CGTACTAG N702 AGTCCTCG Unknown 3323 TAGGCATG N706 TACCCTCT E503,S503,[N|S|E]503 3323 AAGAGGCA N711 CCTGCCTT Unknown 3321 GAGAGGAA Unknown ACTGCATA E506,S506,[N|S|E]506 3317 AAGAGGCA N711 AAGGTAGA Unknown 3311 TAGGCATG N706 TTTCGTCT Unknown 3311 CGTACTAG N702 GTAAGGGT Unknown 3309 TCCTAGCA Unknown GTAAGGAG E505,S505,[N|S|E]505 3308 GGACTCCT N705 GTACGCCC Unknown 3306 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/few_assigned/metrics.txt ================================================ ## htsjdk.samtools.metrics.StringHeader # ExtractIlluminaBarcodes BASECALLS_DIR=/tmp/tmp.4ca6mVHJzT/seq/illumina/proc/SL-HAK/171013_SL-HAK_0510_ACBMYCANXX/Data/Intensities/BaseCalls OUTPUT_DIR=/tmp/tmp-illumina-illumina_demux-xr2r0084/extracted_barcodes-yji4jkcr LANE=6 READ_STRUCTURE=100T8B8B100T BARCODE_FILE=/tmp/tmp-illumina-illumina_demux-xr2r0084/barcodeData.CBMYCANXX.6jrypqot6.txt METRICS_FILE=metrics.txt MAX_MISMATCHES=1 MINIMUM_BASE_QUALITY=10 MINIMUM_QUALITY=10 NUM_PROCESSORS=0 MIN_MISMATCH_DELTA=1 MAX_NO_CALLS=2 COMPRESS_OUTPUTS=false VERBOSITY=INFO QUIET=false VALIDATION_STRINGENCY=STRICT COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json USE_JDK_DEFLATER=false USE_JDK_INFLATER=false ## htsjdk.samtools.metrics.StringHeader # Started on: Thu Sep 06 02:50:46 UTC 2018 ## METRICS CLASS picard.illumina.ExtractIlluminaBarcodes$BarcodeMetric BARCODE BARCODE_WITHOUT_DELIMITER BARCODE_NAME LIBRARY_NAME READS PF_READS PERFECT_MATCHES PF_PERFECT_MATCHES ONE_MISMATCH_MATCHES PF_ONE_MISMATCH_MATCHES PCT_MATCHES RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_PCT_MATCHES PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_NORMALIZED_MATCHES CGTACTAG-GCGTAAGA CGTACTAGGCGTAAGA Mumps_5_171013 Mumps_5_171013 1 1 0 0 1 1 0 0 0 0 0.000001 AGGCAGAA-CCTAGAGT AGGCAGAACCTAGAGT G4225.1_171013 G4225.1_171013 0 0 0 0 0 0 0 0 0 0 0 GGACTCCT-GCGTAAGA GGACTCCTGCGTAAGA G3911.1_171013 G3911.1_171013 1 1 0 0 1 1 0 0 0 0 0.000001 TAGGCATG-AAGGCTAT TAGGCATGAAGGCTAT G4490.1_171013 G4490.1_171013 11221 11034 7 7 11214 11027 0.000041 0.001812 0.000044 0.001821 0.010601 TAAGGCGA-CTCTCTAT TAAGGCGACTCTCTAT G5767.1_171013 G5767.1_171013 10 10 9 9 1 1 0 0.000002 0 0.000002 0.00001 GGACTCCT-CTAAGCCT GGACTCCTCTAAGCCT G4137.1_171013 G4137.1_171013 2359 2107 776 692 1583 1415 0.000009 0.000381 0.000008 0.000348 0.002024 TAGGCATG-CTAAGCCT TAGGCATGCTAAGCCT G4947.1_171013 G4947.1_171013 1216 1041 365 307 851 734 0.000004 0.000196 0.000004 0.000172 0.001 CAGAGAGG-AGAGTAGA CAGAGAGGAGAGTAGA G5416.1_171013 G5416.1_171013 1184996 1159869 577516 564073 607480 595796 0.004359 0.191384 0.004625 0.191393 1.114383 CGTACTAG-TATCCTCT CGTACTAGTATCCTCT G5787.1_171013 G5787.1_171013 6191732 6060133 3613555 3532430 2578177 2527703 0.022774 1 0.024164 1 5.822478 TCCTGAGC-AGAGTAGA TCCTGAGCAGAGTAGA G5619.1_171013 G5619.1_171013 2308 2228 950 919 1358 1309 0.000008 0.000373 0.000009 0.000368 0.002141 CTCTCTAC-AGAGTAGA CTCTCTACAGAGTAGA G5415.1_171013 G5415.1_171013 4853952 4780289 3211496 3163679 1642456 1616610 0.017854 0.783941 0.019061 0.788809 4.592825 AGGCAGAA-AAGGCTAT AGGCAGAAAAGGCTAT G4483.1_171013 G4483.1_171013 13772 13536 10 10 13762 13526 0.000051 0.002224 0.000054 0.002234 0.013005 GGACTCCT-AGAGTAGA GGACTCCTAGAGTAGA G5621.1_171013 G5621.1_171013 2468 2383 881 844 1587 1539 0.000009 0.000399 0.00001 0.000393 0.00229 GGACTCCT-TATCCTCT GGACTCCTTATCCTCT G5585.1_171013 G5585.1_171013 4897225 4764847 3192388 3102458 1704837 1662389 0.018013 0.79093 0.018999 0.786261 4.577988 TAGGCATG-CCTAGAGT TAGGCATGCCTAGAGT Water_4_171013 Water_4_171013 0 0 0 0 0 0 0 0 0 0 0 CAGAGAGG-CTAAGCCT CAGAGAGGCTAAGCCT G4880.1_171013 G4880.1_171013 1963811 1923084 646734 630354 1317077 1292730 0.007223 0.317167 0.007668 0.317334 1.847668 TAAGGCGA-AAGGCTAT TAAGGCGAAAGGCTAT G4439.1_171013 G4439.1_171013 11783 11581 11 9 11772 11572 0.000043 0.001903 0.000046 0.001911 0.011127 AGGCAGAA-CTAAGCCT AGGCAGAACTAAGCCT G4715.2_171013 G4715.2_171013 2848 2558 919 831 1929 1727 0.00001 0.00046 0.00001 0.000422 0.002458 NNNNNNNN-NNNNNNNN NNNNNNNNNNNNNNNN 252733991 232055835 0 0 0 0 0.929601 40.81798 0.925297 38.292202 0 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/one_correction/barcodes.txt ================================================ Barcode1 Likely_Index_Names1 Barcode2 Likely_Index_Names2 Count GTAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 3025191 CTCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 2816035 TAAGGCGA N701 AGAGTAGA E504,[N|S|E]504 2545155 AAGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 2123013 GCTACGCT N709 TATCCTCT E503,S503,[N|S|E]503 1533037 TCCTGAGC N704 AGAGTAGA E504,[N|S|E]504 1366847 TAAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 849939 TAGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 712147 AGGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 556637 AGGCAGAA N703 AGAGTAGA E504,[N|S|E]504 420657 CGAGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 390503 TCCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 355304 CGTACTAG N702 AGAGTAGA E504,[N|S|E]504 321177 GGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 231310 CGTACTAG N702 TATCCTCT E503,S503,[N|S|E]503 123272 TAGGCATT N706 TATCCTCT E503,S503,[N|S|E]503 41442 TAAGGCGA N701 AGAGCAGA E504,[N|S|E]504 28449 CGAGGCTT N710 TATCCTCT E503,S503,[N|S|E]503 25596 TAAGGCGA N701 TGTGCTGT Unknown 24710 TAAGGCGA N701 AGAGTAGT E504,[N|S|E]504 17272 CGTACTAT N702 AGAGTAGA E504,[N|S|E]504 16583 TCCTGAGC N704 AGAGCAGA E504,[N|S|E]504 14075 GTAGGGGA N712 TATCCTCT E503,S503,[N|S|E]503 11484 TAAGGCGA N701 TGAGTAGA E504,[N|S|E]504 11368 TAAGGCGA N701 AGTGCTGT Unknown 10313 TAAGGCGA N701 TGGGGAGA Unknown 9596 TCCTGAGC N704 TGTGCTGT Unknown 9324 GTAGCGGA N712 TATCCTCT E503,S503,[N|S|E]503 8899 TAAGGCGA N701 AGTGCAGT Unknown 7839 TCCTGAGC N704 AGAGTAGT E504,[N|S|E]504 7775 TAAGGCGA N701 TAGAGACA Unknown 7575 TAAGGCGA N701 AGTGTAGA E504,[N|S|E]504 7458 CGTACTAT N702 TATCCTCT E503,S503,[N|S|E]503 7315 TAAGGCGA N701 AGAGCAGT Unknown 6548 AGGCAGAA N703 AGAGCAGA E504,[N|S|E]504 6534 TCCTGAGC N704 TGAGTAGA E504,[N|S|E]504 5207 TAAGGCGA N701 AGAGTAAT Unknown 5075 TAAGGCGA N701 AGTGCAGA Unknown 5062 TAAGGCGA N701 TGTGCAGT E506,S506,[N|S|E]506 5049 TTCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 4968 TAAGGCGA N701 AGGGGAGA Unknown 4903 TAAGGCGA N701 AGTGTAGT Unknown 4844 TAAGGCGA N701 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 4726 GTTACGCT N709 TATCCTCT E503,S503,[N|S|E]503 4721 TCCTGAGC N704 AGTGCTGT Unknown 4604 TCTACGCT E504,N709,[N|S|E]504 TATCCTCT E503,S503,[N|S|E]503 4271 GCTAGCTA Unknown TATCCTCT E503,S503,[N|S|E]503 4235 TAAGGCGA N701 AGAGTAGG E504,[N|S|E]504 4230 TTAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 4221 TCCTGAGC N704 AGTGTAGA E504,[N|S|E]504 4079 CTCTCTAA E502,N707,S502,[N|S|E]502 TATCCTCT E503,S503,[N|S|E]503 4046 AAGAGGCA N711 GCGTAAGA E517,S517,[N|S|E]517 4024 CTCTCTAC N707 TAGGGGCA Unknown 3923 GCTAGGCT N709 TATCCTCT E503,S503,[N|S|E]503 3893 GCAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 3875 TAAGGCGA N701 AGTGTTGT Unknown 3754 AGGCAGAA N703 TGTGCTGT Unknown 3701 CTCTCTCC N707 TATCCTCT E503,S503,[N|S|E]503 3669 TAAGGCGA N701 AGAGTTGA E504,[N|S|E]504 3528 TAAGGCGA N701 AGAGTGAT Unknown 3470 TAGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 3448 CGTACTAG N702 AGAGCAGA E504,[N|S|E]504 3274 TCCTGAGC N704 AGTGCAGT Unknown 3261 CTCTCTAC N707 TATGCTCT E503,S503,[N|S|E]503 3260 AGGCAGAA N703 AGAGTAGT E504,[N|S|E]504 3086 CTCTGTAC N707 TATCCTCT E503,S503,[N|S|E]503 3040 TAAGGCGA N701 AGAGAGAT Unknown 3020 TAAGGCGA N701 TGTGCTCT A503 2970 GCTACGCA N709 TATCCTCT E503,S503,[N|S|E]503 2967 GTAGAGGA N712 TATCTCTT Unknown 2940 ATGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 2885 GTAGAGAA N712 TATCCTCT E503,S503,[N|S|E]503 2838 CTCTCTAC N707 TTTCCTCT E503,S503,[N|S|E]503 2772 TAGGCATA N706 TATCCTCT E503,S503,[N|S|E]503 2751 CTCTCTAC N707 TAGGGGCT Unknown 2730 GTAGAGGA N712 ATCCTCTT Unknown 2686 TCCTGAGC N704 AGAGCAGT Unknown 2673 CTCTCTAC N707 TGTCCTCT A503,E503,S503,[N|S|E]503 2662 TAAGGCGA N701 TGTGTAGT Unknown 2613 GAAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 2572 GCTACGCC N709 TATCCTCT E503,S503,[N|S|E]503 2570 TAAGGCGA N701 TGTGTTGT Unknown 2564 CTCTCTAC N707 TATCTCTT Unknown 2552 TAGGCGAA Unknown AGAGTAGA E504,[N|S|E]504 2523 TCCTGAGC N704 AGTGCAGA Unknown 2491 CTCTCTAC N707 ATCCTCTT Unknown 2414 TCCTGAGC N704 AGAGTAAT Unknown 2322 AAGAGGCA N711 TGTCCTCT A503,E503,S503,[N|S|E]503 2276 GGAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 2263 GTAGAGGA N712 TGTCCTCT A503,E503,S503,[N|S|E]503 2258 TAAGGCGA N701 AGATAGAT Unknown 2208 TCCTGAGC N704 AGTGTAGT Unknown 2194 CGTACTAG N702 TGTGCTGT Unknown 2177 TCCTGAGC N704 AGAGTTGA E504,[N|S|E]504 2135 GTAGAGGA N712 TATCCCTT Unknown 2133 TCCTGAGC N704 AGAGTAGG E504,[N|S|E]504 2131 GTAGAGGG N712 TATCCTCT E503,S503,[N|S|E]503 2074 TAAGGCGA N701 AGAGCTGT Unknown 2070 TAGGCATC N706 TATCCTCT E503,S503,[N|S|E]503 2040 TCTCTACA Unknown TATCCTCT E503,S503,[N|S|E]503 2024 TCCTGAGC N704 AGTGTTGT Unknown 2024 AAGAGGCA N711 TATCTCTT Unknown 2016 GCTACGAT N709 TATCCTCT E503,S503,[N|S|E]503 1996 TAAGGCGA N701 TGAGTAGT Unknown 1958 CTCTCTAT E502,S502,[N|S|E]502 TATCCTCT E503,S503,[N|S|E]503 1930 TTAGGCGA N701,S522 TGTGCTGT Unknown 1906 CGAGGCTA N710 TATCCTCT E503,S503,[N|S|E]503 1897 GTAGAGGA N712 TATCCTTT E503,S503,[N|S|E]503 1897 CGTACTAA N702 AGAGTAGA E504,[N|S|E]504 1858 TCCTGAGC N704 TGTGCAGT E506,S506,[N|S|E]506 1837 AAGAGGCA N711 ATCCTCTT Unknown 1823 TAAGCGAA Unknown AGAGTAGA E504,[N|S|E]504 1807 AAGAGGCA N711 TATGCTCT E503,S503,[N|S|E]503 1801 TAAGGCGA N701 TGAGCAGA Unknown 1795 CTCTCTAC N707 TATCCCTT Unknown 1757 CCTCTCTA Unknown TATCCTCT E503,S503,[N|S|E]503 1740 GTCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 1739 TAAGGCGA N701 AGAGCTGA Unknown 1691 TAAGGCGA N701 TGAGCAGT Unknown 1689 TAAGGCGA N701 TGAGGAGA Unknown 1666 CTCTCTAC N707 TATCCTTT E503,S503,[N|S|E]503 1652 CTCTCTAC N707 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 1642 GCTACGGT N709 TATCCTCT E503,S503,[N|S|E]503 1640 TCCTGAGC N704 AGAGTGAT Unknown 1634 CAGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 1624 TCCTGAGA D702,N704 AGAGTAGA E504,[N|S|E]504 1599 TAAGGCGA N701 TAGGGACA Unknown 1570 TTCTGAGC N704 TGTGCTGT Unknown 1562 CTCTCTAC N707 TACCTCTT Unknown 1556 AAGAGGCA N711 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 1551 GCTACCTA Unknown TATCCTCT E503,S503,[N|S|E]503 1535 TTCTGAGC N704 AGAGTAGA E504,[N|S|E]504 1533 CTCTCTAC N707 TTCCTCTT Unknown 1528 TAAGGCGA N701 TGTCCTCT A503,E503,S503,[N|S|E]503 1522 TAAGGCCG Unknown AGAGTAGA E504,[N|S|E]504 1511 AGGCAGAA N703 AGAGCAGT Unknown 1495 GTACGCTA Unknown TATCCTCT E503,S503,[N|S|E]503 1482 CTAAGGCG Unknown AGAGTAGA E504,[N|S|E]504 1481 CGTACTAG N702 AGAGTAGT E504,[N|S|E]504 1472 AGGCAGAA N703 AGTGCAGT Unknown 1444 TAAGGCGA N701 CTCTCTAT E502,S502,[N|S|E]502 1442 GTAGAGGA N712 TTCCTCTT Unknown 1441 TCCTGAGC N704 AGAGAGAT Unknown 1437 CTCTCTGC N707 TATCCTCT E503,S503,[N|S|E]503 1435 GCTACGTA Unknown TATCCTCT E503,S503,[N|S|E]503 1427 TTAGGCGA N701,S522 TATCCTCT E503,S503,[N|S|E]503 1423 TCCTGCGC N704 AGAGTAGA E504,[N|S|E]504 1419 CTCTCCAC N707 TATCCTCT E503,S503,[N|S|E]503 1415 TAAGGGGA N701 TATCCTCT E503,S503,[N|S|E]503 1405 TAAGGCGA N701 CGAGTAGA E504,[N|S|E]504 1405 AGAGGCAA Unknown TATCCTCT E503,S503,[N|S|E]503 1404 TAAGGCGA N701 GAGTAGAT Unknown 1401 AGGCGGAA N703 TATCCTCT E503,S503,[N|S|E]503 1401 GCTACGCT N709 GCGTAAGA E517,S517,[N|S|E]517 1385 CTCTCTAC N707 TGTGCTCT A503 1383 GTAGGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 1382 TAAGGGGA N701 TGTGCTGT Unknown 1372 AAGAGGCA N711 TTTCCTCT E503,S503,[N|S|E]503 1368 GCTCGCTA N716 TATCCTCT E503,S503,[N|S|E]503 1365 TAAGGCGA N701 TGGGGACA Unknown 1363 TAAGGCGA N701 TGTGTAGA Unknown 1361 TCCTGAGC N704 TGTGTTGT Unknown 1359 GCTAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 1346 GTAGAGGA N712 TTTCCTCT E503,S503,[N|S|E]503 1343 GCACGCTA Unknown TATCCTCT E503,S503,[N|S|E]503 1335 TAAGGCGA N701 TGTGCAGA Unknown 1330 CTCTCTAC N707 TGTGCTGT Unknown 1312 TAAGGAGA N701 AGAGTAGA E504,[N|S|E]504 1311 AAGAGGCA N711 TATCCTTT E503,S503,[N|S|E]503 1308 AAGAGGCA N711 TATCCCTT Unknown 1298 GTAGAGGC D502,N712 TATCCTCT E503,S503,[N|S|E]503 1297 TAAGGAGA N701 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 1291 AGGCAGAA N703 TGAGTAGA E504,[N|S|E]504 1289 AGGCAGAA N703 AGTGCTGT Unknown 1287 GTAGAGGA N712 TACCTCTT Unknown 1283 CAGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 1281 GAAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 1263 CTCTCGAC N707 TATCCTCT E503,S503,[N|S|E]503 1257 CTCGCTAC N707 TATCCTCT E503,S503,[N|S|E]503 1257 AGGCGGAA N703 AGAGTAGA E504,[N|S|E]504 1246 TAAGGCGG N701 AGAGTAGA E504,[N|S|E]504 1237 GTAAGGAA E505,S505,[N|S|E]505 TATCCTCT E503,S503,[N|S|E]503 1236 TAAGGCGA N701 AGAGTATC Unknown 1235 GAGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 1222 GCTACGCT N709 TATCTCTT Unknown 1222 GCTACGCT N709 ATCCTCTT Unknown 1219 TAAGGCGA N701 AGTGCTGA Unknown 1210 TAAGGCGA N701 TATGCTCT E503,S503,[N|S|E]503 1204 AAGAGGCA N711 TTCCTCTT Unknown 1189 AAGAGGCA N711 TGTGCTGT Unknown 1188 CGTAGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 1182 CTCTCTAC N707 TATGGTCT Unknown 1179 CGAGGCTC N710 TATCCTCT E503,S503,[N|S|E]503 1172 AAGGGGCA N711 TATCCTCT E503,S503,[N|S|E]503 1166 AAGGCGAA Unknown AGAGTAGA E504,[N|S|E]504 1155 TGGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 1150 TCCTGAGC N704 TGTGTAGT Unknown 1141 CTCTCTCA Unknown TATCCTCT E503,S503,[N|S|E]503 1139 AAGAGGCA N711 TGTGCTCT A503 1135 CGTACTAG N702 TGAGTAGA E504,[N|S|E]504 1130 TCCTGAGC N704 AGATAGAT Unknown 1126 GTAGCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 1121 CTCTCTAC N707 TATCGTCT E503,S503,[N|S|E]503 1120 AAGAGGCA N711 TACCTCTT Unknown 1118 GAGAGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 1109 TAAGGCGA N701 AGAGTTGT Unknown 1105 TAAGGCGA N701 TGAGCTGT Unknown 1091 ACGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 1087 GCTACGCT N709 TGTCCTCT A503,E503,S503,[N|S|E]503 1085 TAAGGCGA N701 AGAGTAGC E504,[N|S|E]504 1084 AGGCAGCA N703 TATCCTCT E503,S503,[N|S|E]503 1074 TAAGGCGC D708,N701,S521 AGAGTAGA E504,[N|S|E]504 1068 AGGCAGAA N703 AGAGTAAT Unknown 1066 TCCCTGAG Unknown AGAGTAGA E504,[N|S|E]504 1057 GTAGAGGA N712 TATGCTCT E503,S503,[N|S|E]503 1055 TCCTGAGC N704 TGTGCTCT A503 1055 TAGAGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 1053 ATGCAGAA D705,N703 TATCCTCT E503,S503,[N|S|E]503 1050 AGGCAGAA N703 TGTGCAGT E506,S506,[N|S|E]506 1050 CTACGCTA Unknown TATCCTCT E503,S503,[N|S|E]503 1047 CAAGGCGA N701 AGAGTAGA E504,[N|S|E]504 1045 AGGCAGAA N703 AAACCGTC Unknown 1038 CTCTCTAC N707 CTCTCTAT E502,S502,[N|S|E]502 1035 GCTACGCG N709 TATCCTCT E503,S503,[N|S|E]503 1035 AAAAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 1029 CGTACTAC N702 AGAGTAGA E504,[N|S|E]504 1027 CTCTCTCC N707 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 1020 TCCTGAGC N704 CGAGTAGA E504,[N|S|E]504 1014 AAGAGGGA N711 TATCCTCT E503,S503,[N|S|E]503 1012 GCTACGCT N709 TATCCCTT Unknown 1010 TCCTGAGC N704 AGAGCTGT Unknown 997 GCTACGCT N709 TATGCTCT E503,S503,[N|S|E]503 984 CTATCTAC N707 TATCCTCT E503,S503,[N|S|E]503 983 TAAGGCGA N701 AGAGTAAG Unknown 973 CTCTCACA Unknown TATCCTCT E503,S503,[N|S|E]503 972 GAAGGCGA N701 TGTGCTGT Unknown 967 TAGGGATG N706 TATCCTCT E503,S503,[N|S|E]503 959 TTCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 953 AGGCAGAA N703 AGAGTAGG E504,[N|S|E]504 948 GAAGGCGA N701 AGAGTAGA E504,[N|S|E]504 947 GTAGAGGA N712 TATCCTTC Unknown 944 GTAGAGGA N712 TATCCTCC E503,S503,[N|S|E]503 940 TCAGGCGA N701 AGAGTAGA E504,[N|S|E]504 938 GCAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 937 CTCTCTAC N707 TAGCGGCT Unknown 934 CGTACTAG N702 AGTGTAGA E504,[N|S|E]504 926 GCTACGCT N709 TTTCCTCT E503,S503,[N|S|E]503 924 CGTACTAG N702 AGTGCTGT Unknown 922 CTCCTACA Unknown TATCCTCT E503,S503,[N|S|E]503 910 TAAGGCGA N701 TAGAGAGA Unknown 907 CAGAGAGG N708 CTCTCTAT E502,S502,[N|S|E]502 905 TCCTGAGC N704 AGAGCTGA Unknown 896 GCAGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 894 TGAGGCGA N701 AGAGTAGA E504,[N|S|E]504 893 TAAGGCAA N701 AGAGTAGA E504,[N|S|E]504 892 TCCGGAGC D702,N704 AGAGTAGA E504,[N|S|E]504 892 TAGGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 890 CCCTGAGC N704 AGAGTAGA E504,[N|S|E]504 890 GGACTCCT N705 CTCTCTAT E502,S502,[N|S|E]502 878 AAGAGCAA Unknown TATCCTCT E503,S503,[N|S|E]503 876 CTCTCTAC N707 TATCCTCC E503,S503,[N|S|E]503 874 GCTACGCT N709 TATCCTTT E503,S503,[N|S|E]503 866 GTGGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 858 CCTCTACA Unknown TATCCTCT E503,S503,[N|S|E]503 843 TCCTGAGC N704 TGAGTAGT Unknown 842 GCAACGCT N709 TATCCTCT E503,S503,[N|S|E]503 835 AAGAGGCA N711 CATCCTCT E503,S503,[N|S|E]503 834 CTCTCTAC N707 CATCCTCT E503,S503,[N|S|E]503 830 TAAGGCGA N701 TAGGGAGA Unknown 830 CCTACGCT N709 TATCCTCT E503,S503,[N|S|E]503 828 TAAGGCGA N701 TATCTCTT Unknown 819 GAAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 814 ATCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 810 CTCCTCTA Unknown TATCCTCT E503,S503,[N|S|E]503 805 TAAGGCGA N701 TGGAGAGA S511 804 TCATGAGC N704 AGAGTAGA E504,[N|S|E]504 804 TAAGGCGA N701 AGGTAGAT Unknown 804 TAAGGCGA N701 AGGGTAGA E504,[N|S|E]504 804 AGGCAGAA N703 AGTGTAGA E504,[N|S|E]504 802 TCTGAGCA Unknown AGAGTAGA E504,[N|S|E]504 796 GTAGAGGA N712 AATCCTCT E503,S503,[N|S|E]503 794 CTCTCTAC N707 TATCCTTC Unknown 792 TGAGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 790 TGGCAGAA N703 AGAGTAGA E504,[N|S|E]504 790 CTCTCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 786 AGGCAGAA N703 AGTGCAGA Unknown 782 GTAGGGGA N712 TGTCCTCT A503,E503,S503,[N|S|E]503 780 GTAGAGGA N712 CATCCTCT E503,S503,[N|S|E]503 777 AAGAGGAA N711 TATCCTCT E503,S503,[N|S|E]503 767 GCTACGCT N709 TTCCTCTT Unknown 757 TAAGGCGA N701 ATCCTCTT Unknown 747 AAGAGGCC N711 TATCCTCT E503,S503,[N|S|E]503 744 CGTACTAA N702 TATCCTCT E503,S503,[N|S|E]503 742 TCCTGAGC N704 AGTGCTGA Unknown 733 TAAGGGGA N701 AGAGTAGA E504,[N|S|E]504 732 AGGCAGGA N703 TATCCTCT E503,S503,[N|S|E]503 727 GTAGAGGA N712 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 727 TAAGGCGA N701 AGAGTGGA E504,[N|S|E]504 725 GCTGCGCT N709 TATCCTCT E503,S503,[N|S|E]503 724 AAGAGGCA N711 TATCCTCC E503,S503,[N|S|E]503 721 GTGAGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 716 GCTACGCT N709 TACCTCTT Unknown 715 TCCTGAGC N704 TGAGCAGA Unknown 714 GAGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 699 GTAGGGGA N712 TGTGCTCT A503 699 GTAGGGGA N712 TGTGCTGT Unknown 695 TCCTGCGC N704 TATCCTCT E503,S503,[N|S|E]503 695 TAAGGCGA N701 AGTGTTGA Unknown 692 GTTAGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 688 TAAGGGAA Unknown AGAGTAGA E504,[N|S|E]504 683 TCCTGAGC N704 TGTGTAGA Unknown 679 TCCTGAGC N704 GAGTAGAT Unknown 679 TCCTTCTC Unknown TATCCTCT E503,S503,[N|S|E]503 678 TCCTGAGC N704 TGTCCTCT A503,E503,S503,[N|S|E]503 676 GCCACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 675 AGGCAGAA N703 AGAGTGAT Unknown 674 GTAGAGGA N712 GATCCTCT E503,S503,[N|S|E]503 673 TTAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 669 TCCTGAGC N704 TGAGCAGT Unknown 667 GAAGGGGA Unknown TGTGCTGT Unknown 665 GTAGAGCA N712 TATCCTCT E503,S503,[N|S|E]503 664 TAATGCGA D708,N701,S522 AGAGTAGA E504,[N|S|E]504 664 GTCACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 664 CGTACTAG N702 AGAGTAGG E504,[N|S|E]504 660 TGTACTAG A506,N702 AGAGTAGA E504,[N|S|E]504 659 CGTACTAG N702 AGTGCAGA Unknown 658 CTCTTACA Unknown TATCCTCT E503,S503,[N|S|E]503 653 CTCCCTAC E505,N707,S505,[N|S|E]505 TATCCTCT E503,S503,[N|S|E]503 652 GTAGAGGA N712 CTATCCTC Unknown 650 TAGGCATG N706 TATCTCTT Unknown 648 TCAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 647 AGGCAGAA N703 CTCTCTAT E502,S502,[N|S|E]502 645 TTAGGCGA N701,S522 AGAGTAGA E504,[N|S|E]504 644 AGGCAGAA N703 AGTGTAGT Unknown 634 GCTACCCT N709 TATCCTCT E503,S503,[N|S|E]503 634 AAAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 633 GTAGAGGA N712 TATCCCTC Unknown 633 TAGGCATG N706 TGTCCTCT A503,E503,S503,[N|S|E]503 619 TAGGCATG N706 ATCCTCTT Unknown 619 CGTAGTAG N702 AGAGTAGA E504,[N|S|E]504 617 CTCTCTAC N707 CTATCCTC Unknown 617 GTAGAGGT N712 TATCCTCT E503,S503,[N|S|E]503 613 GTTACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 611 AAGCGGCA N711 TATCCTCT E503,S503,[N|S|E]503 610 TAAGGCGA N701 AAGTAGAT Unknown 605 AAGAGGCA N711 TATCCTTC Unknown 598 TAAGGCGA N701 GGAGTAGA E504,[N|S|E]504 597 TGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 596 GTAGAGGA N712 TGTGCTCT A503 595 CGTACTAG N702 AGTGCAGT Unknown 587 CTTCTACA Unknown TATCCTCT E503,S503,[N|S|E]503 585 TAAGGGCG Unknown AGAGTAGA E504,[N|S|E]504 585 CTCTCTAC N707 TATCCGCT E503,S503,[N|S|E]503 583 CTCCTGAG Unknown AGAGTAGA E504,[N|S|E]504 583 ATAGAGGA D502,N712 TATCCTCT E503,S503,[N|S|E]503 583 CTCTCTAC N707 TATCCCTC Unknown 581 TCCTGGCA Unknown AGAGTAGA E504,[N|S|E]504 574 CCTGAGCA Unknown AGAGTAGA E504,[N|S|E]504 574 AGGCAGAA N703 TATGCTCT E503,S503,[N|S|E]503 572 TAAGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 572 AGGAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 571 CGTACTAG N702 AGAGTAAT Unknown 570 TAAGGCGA N701 TATCCCTT Unknown 569 ACTACGCT N709 TATCCTCT E503,S503,[N|S|E]503 568 TAAGGCGA N701 AGTAGATC Unknown 567 TTCTCCAC Unknown TATCCTCT E503,S503,[N|S|E]503 566 TCCTGAGC N704 AGAGTTGT Unknown 563 CTTTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 563 GCTCCGCT N709 TATCCTCT E503,S503,[N|S|E]503 563 CTCACTAC N707 TATCCTCT E503,S503,[N|S|E]503 563 TAAGGCGG N701 TATCCTCT E503,S503,[N|S|E]503 561 GTATAGGA N712 TATCCTCT E503,S503,[N|S|E]503 560 CTCTACAT Unknown TATCCTCT E503,S503,[N|S|E]503 557 AGGCAGAA N703 TGTCCTCT A503,E503,S503,[N|S|E]503 556 GTCTCGAC Unknown TATCCTCT E503,S503,[N|S|E]503 556 GCCACGCT N709 TATCCTCT E503,S503,[N|S|E]503 555 AAGGGCAA Unknown TATCCTCT E503,S503,[N|S|E]503 553 CGTACTAG N702 CTCTCTAT E502,S502,[N|S|E]502 552 TTCTGAGC N704 AGTGCTGT Unknown 550 AGGCCGAA N703 TATCCTCT E503,S503,[N|S|E]503 550 CTCTCTAC N707 AGAGTAGA E504,[N|S|E]504 549 AGGCAGGA N703 AGAGTAGA E504,[N|S|E]504 547 GCTACGCT N709 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 544 TAAGGCGA N701 TGTGCTGA Unknown 542 TAAGGCGA N701 AGGAGTAG A712 542 CTCTCAAC N707 TATCCTCT E503,S503,[N|S|E]503 538 CAAGGCGA N701 TGTGCTGT Unknown 537 CTCTCTAC N707 TAGCCTCT E503,S503,[N|S|E]503 535 AGGCAGAA N703 ATCCTCTT Unknown 534 GCCTGAGC N704 AGAGTAGA E504,[N|S|E]504 533 AAGAGGCA N711 AATCCTCT E503,S503,[N|S|E]503 532 TAAGGCCG Unknown TATCCTCT E503,S503,[N|S|E]503 531 CTCTCTAC N707 TCCTCTTC Unknown 530 GCTACGCT N709 TATCCTCC E503,S503,[N|S|E]503 530 GTAGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 529 GTAGGAAT Unknown TATCCTCT E503,S503,[N|S|E]503 527 TAGGCACG N706 TATCCTCT E503,S503,[N|S|E]503 527 GTAGAGGA N712 TACCCTCT E503,S503,[N|S|E]503 526 TAAGGCGA N701 TGGAGACA Unknown 526 TAAGGCGA N701 TATCCTTT E503,S503,[N|S|E]503 521 AGGCAGAA N703 TGTGCTCT A503 521 GTAGAGGA N712 TCCTCTTC Unknown 518 TTAGGCGA N701,S522 TGTGCTCT A503 516 AAGAGACA N711 TATCCTCT E503,S503,[N|S|E]503 513 AAAGGCAA Unknown TATCCTCT E503,S503,[N|S|E]503 510 TCCTGAGC N704 TGTGCAGA Unknown 510 CTCTCTTC N707 TATCCTCT E503,S503,[N|S|E]503 510 TTAAGGCG Unknown AGAGTAGA E504,[N|S|E]504 507 GCTACTAT Unknown TATCCTCT E503,S503,[N|S|E]503 506 AGGCAGAA N703 TATCTCTT Unknown 506 AGGCGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 505 GCTACGTT N709 TATCCTCT E503,S503,[N|S|E]503 502 TAGGCATG N706 TATGCTCT E503,S503,[N|S|E]503 500 TAAGGCGC D708,N701,S521 TATCCTCT E503,S503,[N|S|E]503 499 GTACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 498 TACTGAGC N704 AGAGTAGA E504,[N|S|E]504 496 CTAGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 495 TAGGCCAT Unknown TATCCTCT E503,S503,[N|S|E]503 494 CTCTCTAC N707 TATGGGCT Unknown 494 TAAGGGGA N701 TGTGCTCT A503 494 GTCTCTTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 494 TGGCAGAA N703 TGAGTAGA E504,[N|S|E]504 493 TCCTGAGC N704 AGAGTAGC E504,[N|S|E]504 489 CGGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 488 AGGCAGAA N703 AGAGAGAT Unknown 486 TCCTGGGC N704 AGAGTAGA E504,[N|S|E]504 486 TAAGGCGA N701 TTTCCTCT E503,S503,[N|S|E]503 486 GTAGGCGA Unknown TATCCTCT E503,S503,[N|S|E]503 486 GCCTACGC Unknown TATCCTCT E503,S503,[N|S|E]503 485 CGAGGCTG N710 TGTCCTCT A503,E503,S503,[N|S|E]503 484 AGCAGAAA Unknown TATCCTCT E503,S503,[N|S|E]503 482 TTGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 482 GAGGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 480 AATAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 480 CTAGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 473 AAGAGGCA N711 CTATCCTC Unknown 470 TACGGCGA N701 AGAGTAGA E504,[N|S|E]504 469 CAAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 468 GCCTGAGC N704 TGTGCTGT Unknown 468 GTCGCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 467 CTCTCTAG E502,N707,S502,[N|S|E]502 TATCCTCT E503,S503,[N|S|E]503 464 TAGGCATG N706 TATCCCTT Unknown 463 TCCTGAGC N704 TGAGCTGT Unknown 463 CTCTCTAC N707 TAGGGTCT Unknown 461 TCCTGAGG N704 AGAGTAGA E504,[N|S|E]504 461 CTAAGGCG Unknown TATCCTCT E503,S503,[N|S|E]503 460 TCCTGAGC N704 AGTGTTGA Unknown 459 TAGGCAGG N706 TATCCTCT E503,S503,[N|S|E]503 458 TCCGAGCA Unknown AGAGTAGA E504,[N|S|E]504 457 GTAGAGGA N712 TGTGCTGT Unknown 455 GCTACACT N709 TATCCTCT E503,S503,[N|S|E]503 455 CTCTCTAC N707 AATCCTCT E503,S503,[N|S|E]503 454 TAAGGCGA N701 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 453 TAAGGCGA N701 AGAGGTAG Unknown 452 CTCTCTAC N707 TACCCTCT E503,S503,[N|S|E]503 452 CGTACTAG N702 AGAGCAGT Unknown 452 AGGCAGAA N703 AGAGTTGA E504,[N|S|E]504 452 TTAGGCGA N701,S522 AGTGCTGT Unknown 451 AAGAGGCA N711 TATCCCTC Unknown 451 GCTACGCT N709 TATCCTTC Unknown 450 TAAGGCGA N701 TTCCTCTT Unknown 447 GTAGAGGA N712 TAATCCTC Unknown 445 AAGAGGCA N711 AAACCGTC Unknown 445 CTCTGAGC Unknown TGTGCTGT Unknown 445 TCCTGAGC N704 AGAGTAAG Unknown 445 AAGTGGCA N711 TATCCTCT E503,S503,[N|S|E]503 444 AGGCAGAA N703 TGAGCAGT Unknown 443 AAGGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 442 CGTACTAG N702 AGAGTTGA E504,[N|S|E]504 441 AAGAGGCG N711 TATCCTCT E503,S503,[N|S|E]503 441 TAGCATGA Unknown TATCCTCT E503,S503,[N|S|E]503 439 TAAGGCGA N701 AGAGGATC E503,S503,[N|S|E]503 437 CTCTATAC N707 TATCCTCT E503,S503,[N|S|E]503 437 TAAGGCGA N701 TACCTCTT Unknown 436 TCCTGAGC N704 AGAGTATC Unknown 434 TCCTGACA Unknown AGAGTAGA E504,[N|S|E]504 434 CTCTGTGC Unknown TGTGCTGT Unknown 433 GTACTAGA Unknown AGAGTAGA E504,[N|S|E]504 432 AAGAGCCA N711 TATCCTCT E503,S503,[N|S|E]503 432 TCCTGAGA D702,N704 TATCCTCT E503,S503,[N|S|E]503 430 TAGGCATG N706 TATCCTTT E503,S503,[N|S|E]503 429 GGTAGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 429 TTCTGAGC N704 AGAGCAGA E504,[N|S|E]504 428 TAAGGCGA N701 TATGCTGT E506,S506,[N|S|E]506 426 AGGCAGAA N703 AGTGTTGT Unknown 425 TAAAGGCG Unknown AGAGTAGA E504,[N|S|E]504 425 GTAGACGA N712 TATCCTCT E503,S503,[N|S|E]503 425 CGAGGCCG N710 TATCCTCT E503,S503,[N|S|E]503 424 TCCTTCTC Unknown ATCTTCTC Unknown 423 CTCTTCTA Unknown TATCCTCT E503,S503,[N|S|E]503 423 TCCTGAGC N704 AGGTAGAT Unknown 423 AAGAGGCA N711 GATCCTCT E503,S503,[N|S|E]503 422 CGTACTAC N702 TATCCTCT E503,S503,[N|S|E]503 422 TAAGGCGA N701 AGAGTCGA E504,[N|S|E]504 419 GTAGAAGA N712 TATCCTCT E503,S503,[N|S|E]503 419 CTCTCTAC N707 TATGCTGT E506,S506,[N|S|E]506 418 CTCTCTTA Unknown TATCCTCT E503,S503,[N|S|E]503 417 AAGAGGCA N711 TAGAGGCC Unknown 417 AAGAGGCA N711 TCCTCTTC Unknown 417 TCCTGAGC N704 AGAGTGGA E504,[N|S|E]504 417 CGTACTAG N702 TGTGCAGT E506,S506,[N|S|E]506 416 TAAGGCGA N701 CAGAGTAG Unknown 416 CGCACTAG N702 AGAGTAGA E504,[N|S|E]504 415 AAGGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 411 TAAGGCGA N701 TGAGTTGT Unknown 410 GCTACGCT N709 AATCCTCT E503,S503,[N|S|E]503 408 AAGAGGCA N711 TATGCTGT E506,S506,[N|S|E]506 407 TGAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 407 GGAGAGGA N712 TAGAAGAG Unknown 405 CTCTCTAC N707 TAATCCTC Unknown 402 CGTACTAG N702 AGAGTGAT Unknown 401 GAAGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 401 CGTACTAG N702 AGTGTAGT Unknown 400 TAAGGTGA N701 AGAGTAGA E504,[N|S|E]504 400 CTTCTCTA Unknown TATCCTCT E503,S503,[N|S|E]503 399 CGCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 398 TCCTGAGC N704 CTCTCTAT E502,S502,[N|S|E]502 396 TCCTGAGC N704 TATGCTCT E503,S503,[N|S|E]503 394 CCCTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 394 TAAGGGGA N701 AGTGCTGT Unknown 391 CGAGGCGG N710 TATCCTCT E503,S503,[N|S|E]503 391 GAAGGAGA Unknown AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 389 CTCTGTAC N707 TGTGCTGT Unknown 389 TAGGCATG N706 TACCTCTT Unknown 388 GCTACGCT N709 TGTGCTCT A503 388 GTAGAGGA N712 TATCTTCT E503,S503,[N|S|E]503 387 GGAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 387 CGCTACGC Unknown TATCCTCT E503,S503,[N|S|E]503 385 TCCTGAGA D702,N704 TGTGCTGT Unknown 385 TAAGGCGA N701 AGAGTAAA E504,[N|S|E]504 384 AGGCAGAA N703 AGATAGAT Unknown 375 GTAAAGGA N712 TATCCTCT E503,S503,[N|S|E]503 375 GATACGCT N709 TATCCTCT E503,S503,[N|S|E]503 375 AAGAGGCA N711 TACCCTCT E503,S503,[N|S|E]503 372 GCTACGCT N709 CATCCTCT E503,S503,[N|S|E]503 372 GATAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 371 TACGCTAT Unknown TATCCTCT E503,S503,[N|S|E]503 370 AGGCCAGA Unknown TATCCTCT E503,S503,[N|S|E]503 370 AGGCAGAA N703 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 369 AGGCAGAA N703 TGAGCAGA Unknown 369 TAAGGAGA N701 TATCCTCT E503,S503,[N|S|E]503 368 CCGTACTA Unknown AGAGTAGA E504,[N|S|E]504 368 AGGCAGAA N703 TATCCTTT E503,S503,[N|S|E]503 368 TCCTAGCA Unknown AGAGTAGA E504,[N|S|E]504 368 GAAGGGGA Unknown TGTGCTCT A503 367 GTCACGCT Unknown TATCCTCT E503,S503,[N|S|E]503 366 GGACGCCT N705 TATCCTCT E503,S503,[N|S|E]503 366 TCCCGAGC N704 AGAGTAGA E504,[N|S|E]504 365 CCGAGGCT Unknown TATCCTCT E503,S503,[N|S|E]503 364 TAGGCATG N706 TTTCCTCT E503,S503,[N|S|E]503 364 GCTATCTC Unknown TATCCTCT E503,S503,[N|S|E]503 363 GTAGAGGA N712 TATCCCCT E503,S503,[N|S|E]503 363 CGAGGCTG N710 TATCTCTT Unknown 362 CAAGAGGC Unknown TATCCTCT E503,S503,[N|S|E]503 361 AAGAGGCA N711 TATCCTGT E503,S503,[N|S|E]503 360 GTAGGGGA N712 TATGCTCT E503,S503,[N|S|E]503 359 CTCTGTCC Unknown TATCCTCT E503,S503,[N|S|E]503 357 TCTTGAGC N704 AGAGTAGA E504,[N|S|E]504 356 GAAAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 356 TACGGCGC Unknown AGAGTAGA E504,[N|S|E]504 356 GCTGCGGT Unknown TATCCTCT E503,S503,[N|S|E]503 356 TAGGCATG N706 TTCCTCTT Unknown 356 AGCAGAAA Unknown AGAGTAGA E504,[N|S|E]504 354 CTCTCTAC N707 TAGCGTCT Unknown 354 AGGCAGAA N703 TTTCCTCT E503,S503,[N|S|E]503 354 TAGGCAGA Unknown TATCCTCT E503,S503,[N|S|E]503 353 AAGAGGAA N711 TAGAAGAG Unknown 352 CTCTCTCC N707 AGAGTAGA E504,[N|S|E]504 351 TCCTGAGC N704 AAGTAGAT Unknown 351 GCAACGGA Unknown TATCCTCT E503,S503,[N|S|E]503 350 TAAGGCGA N701 AGAGTACA A503,E504,[N|S|E]504 349 GGGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 347 AAAGGCGA N701 AGAGTAGA E504,[N|S|E]504 347 GGGGGGGG Unknown GGGGGGGG Unknown 347 ACTAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 346 GCTACGCT N709 CTATCCTC Unknown 346 GCAGCGGT Unknown TATCCTCT E503,S503,[N|S|E]503 346 TTCTGTAC Unknown TATCCTCT E503,S503,[N|S|E]503 343 CGCGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 342 CTCTCTAC N707 TATCTTCT E503,S503,[N|S|E]503 341 TAGGGCGA N701 AGAGTAGA E504,[N|S|E]504 341 CGAGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 340 CCCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 340 TAAGGCGA N701 AGAGTACG Unknown 340 TCCTGAGC N704 TATCTCTT Unknown 339 GGTACGCT N709 TATCCTCT E503,S503,[N|S|E]503 338 TAAGGCAA N701 TATCCTCT E503,S503,[N|S|E]503 337 AAAGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 332 GCTACGCT N709 TATCCCTC Unknown 332 CCCTGAGC N704 TGTGCTGT Unknown 332 TCTAGGCT Unknown TATCCTCT E503,S503,[N|S|E]503 328 CGTACTAG N702 AGAGAGAT Unknown 326 TAGGCATG N706 TGTGCTCT A503 325 AGGCAGAA N703 TGAGTAGT Unknown 325 TAAGGAGA N701 GGAGGAGA Unknown 324 TAAGGCGA N701 CATCCTCT E503,S503,[N|S|E]503 324 AAGAGGTA N711 TATCCTCT E503,S503,[N|S|E]503 322 GCCTCGCC Unknown TATCCTCT E503,S503,[N|S|E]503 321 TAAGGCGA N701 AGAGATCG Unknown 321 TACTGCGC D708 AGAGTAGA E504,[N|S|E]504 320 GTCTCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 319 AGGCAGAA N703 TGTGTAGT Unknown 319 AGGCAGAA N703 TATCCCTT Unknown 318 ACCTGAGC N704 AGAGTAGA E504,[N|S|E]504 316 GCAACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 316 GCTACTCT E504,N709,[N|S|E]504 TATCCTCT E503,S503,[N|S|E]503 315 TTCTGAGC N704 TGTGCTCT A503 314 AAGAGGCA N711 TAATCCTC Unknown 314 TAAGGCGA N701 AGAATAGA E504,[N|S|E]504 313 ATGCAGAA D705,N703 TGTGCTGT Unknown 313 CTCACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 313 GCTATGCT N709 TATCCTCT E503,S503,[N|S|E]503 313 AAGAGGCA N711 TATCCGCT E503,S503,[N|S|E]503 313 ACTCTTCC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 312 CACGAGAC Unknown TATCCTCT E503,S503,[N|S|E]503 311 GCTAGGGT Unknown TATCCTCT E503,S503,[N|S|E]503 309 CTCTGTGC Unknown TATCCTCT E503,S503,[N|S|E]503 308 GCCTCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 308 GCCTTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 307 CGTACTAG N702 AGTGTTGT Unknown 307 GCTACGCT N709 TGTGCTGT Unknown 307 TAAAGCGA N701 AGAGTAGA E504,[N|S|E]504 306 TAAGGCGA N701 AGAGTCGT Unknown 306 CAGGCAGA Unknown TATCCTCT E503,S503,[N|S|E]503 306 TCCTGAGC N704 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 306 GACGCTAT Unknown TATCCTCT E503,S503,[N|S|E]503 305 TCCTGAGC N704 TGTGCTGA Unknown 304 GCTACGCT N709 GATCCTCT E503,S503,[N|S|E]503 304 TAAGGCGA N701 AGAGTTAG Unknown 303 GCCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 303 CTCTCTAC N707 TATCCCCT E503,S503,[N|S|E]503 302 AAAGGGGA Unknown AGAGTAGA E504,[N|S|E]504 301 AGGCAGCA N703 AGAGTAGA E504,[N|S|E]504 301 AAGAGGCA N711 TATCTTCT E503,S503,[N|S|E]503 300 GTAGATGA N712 TATCCTCT E503,S503,[N|S|E]503 299 CTCTCTAC N707 TAGCCGCT Unknown 299 TCCTGAGC N704 TTTCCTCT E503,S503,[N|S|E]503 298 CGAGGCGA Unknown TATCCTCT E503,S503,[N|S|E]503 298 AGGCAGAA N703 TTCCTCTT Unknown 297 AGGCAGAA N703 TACCTCTT Unknown 296 TCCTGAGT N704 AGAGTAGA E504,[N|S|E]504 295 TAAGGCCA N701 TATCCTCT E503,S503,[N|S|E]503 295 AAGAGGCA N711 TATCGTCT E503,S503,[N|S|E]503 293 AGGCAGAA N703 TATCCGCT E503,S503,[N|S|E]503 293 TCCTGAGC N704 ATCCTCTT Unknown 292 AGGCAGAA N703 AGAGCTGT Unknown 291 TCCTGAGC N704 GGAGTAGA E504,[N|S|E]504 291 TAAGGCGA N701 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 291 CGAGGCTG N710 TATGCTCT E503,S503,[N|S|E]503 290 TAAGGCGA N701 TATCCTCC E503,S503,[N|S|E]503 290 TAAGGCGA N701 GGAGTAGG Unknown 290 TCCTGGGC N704 TATCCTCT E503,S503,[N|S|E]503 290 GCTACCGC Unknown TATCCTCT E503,S503,[N|S|E]503 289 TAGGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 287 TAGGCATG N706 TGTGCTGT Unknown 287 GTAGGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 287 GCAACGGT Unknown TATCCTCT E503,S503,[N|S|E]503 287 TAAGGGGA N701 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 286 AGGCAGAA N703 TAGAGGCT Unknown 286 CGAGGCTG N710 ATCCTCTT Unknown 285 TCCCTGAG Unknown TATCCTCT E503,S503,[N|S|E]503 284 GTAGAGGA N712 TATTCTCT A503,E503,S503,[N|S|E]503 283 TAAGGCGA N701 AAGAGTAG Unknown 283 TCCTGAGC N704 AGTAGATC Unknown 282 TCAGGAGA D702 AGAGTAGA E504,[N|S|E]504 282 CCTCTTCC Unknown TATCCTCT E503,S503,[N|S|E]503 280 GCTCCTCT Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 279 GCCGCTAT D502 TATCCTCT E503,S503,[N|S|E]503 279 GCTAAGCT N709 TATCCTCT E503,S503,[N|S|E]503 279 GTACAGGA N712 TATCCTCT E503,S503,[N|S|E]503 278 TAAGGCGA N701 ATAGTAGA E504,[N|S|E]504 278 CGAGGCCT Unknown TATCCTCT E503,S503,[N|S|E]503 277 GCGAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 277 TAAGGCCA N701 TGTGCTGT Unknown 274 GTAGAAGG Unknown TATCCTCT E503,S503,[N|S|E]503 273 CTCTCTAC N707 GATCCTCT E503,S503,[N|S|E]503 273 AAGAGGCA N711 TATCCCCT E503,S503,[N|S|E]503 273 TAGGGATA Unknown TATCCTCT E503,S503,[N|S|E]503 272 AGGCAAAA N703 TATCCTCT E503,S503,[N|S|E]503 272 CTCTCTAC N707 TATCGGCT Unknown 272 TCCTGACC N704 TATCCTCT E503,S503,[N|S|E]503 271 CTGTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 270 GTAGCGGT Unknown TATCCTCT E503,S503,[N|S|E]503 270 TCATGAGA Unknown AGAGTAGA E504,[N|S|E]504 269 TCATGAGC N704 TGTGCTGT Unknown 269 TAAGGCGA N701 AGAAGTAG Unknown 269 AAGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 268 TCCGGAGC D702,N704 TATCCTCT E503,S503,[N|S|E]503 268 AAGAGGCA N711 TAGCCTCT E503,S503,[N|S|E]503 268 TGGCATGA Unknown TATCCTCT E503,S503,[N|S|E]503 267 TAAGGCGT N701 AGAGTAGA E504,[N|S|E]504 267 CTCGCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 266 AGGCAGAA N703 AGAGTATC Unknown 266 CTCTTTAC E505,N707,S505,[N|S|E]505 TATCCTCT E503,S503,[N|S|E]503 265 GGACCCCT N705 TATCCTCT E503,S503,[N|S|E]503 264 CTCACTCC Unknown TATCCTCT E503,S503,[N|S|E]503 262 CTCTCTAC N707 TATTCTCT A503,E503,S503,[N|S|E]503 262 GCGACGCT N709 TATCCTCT E503,S503,[N|S|E]503 261 AAGAGTCA N711 TATCCTCT E503,S503,[N|S|E]503 261 AAGAAGCA N711 TATCCTCT E503,S503,[N|S|E]503 260 CGAGGCTG N710 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 260 GTAGTGGA N712 TATCCTCT E503,S503,[N|S|E]503 260 GCTACGCT N709 TCCTCTTC Unknown 260 GCCCTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 260 GTCTCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 259 TCAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 259 TTCTGTGC Unknown TATCCTCT E503,S503,[N|S|E]503 259 TACGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 258 GTAGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 258 GGCCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 257 CGAGGGTG N710 TATCCTCT E503,S503,[N|S|E]503 257 TAAGGCGA N701 TAGAGCTG Unknown 256 AGGCAGAA N703 CATCCTCT E503,S503,[N|S|E]503 256 ATGCAGAA D705,N703 AGAGTAGA E504,[N|S|E]504 256 TCCTGAGC N704 AGCGTAGA E504,[N|S|E]504 256 GTAGAGTA N712 TATCCTCT E503,S503,[N|S|E]503 256 GTAGGCGA Unknown TGTGCTGT Unknown 255 ATGTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 255 TAAGGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 254 CTCTGTAA Unknown TATCCTCT E503,S503,[N|S|E]503 252 TAAGGGGA N701 TGTCCTCT A503,E503,S503,[N|S|E]503 252 GAAGGGGA Unknown TGTCCTCT A503,E503,S503,[N|S|E]503 251 CTCCCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 251 GAGCCCAC Unknown TATCCTCT E503,S503,[N|S|E]503 251 GCTCCTCT Unknown TATCCTCT E503,S503,[N|S|E]503 251 CGTACCAG N702 AGAGTAGA E504,[N|S|E]504 249 TAGGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 249 TCTGAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 249 GGAGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 249 CAGGCAGA Unknown AGAGTAGA E504,[N|S|E]504 249 AGGCGGGA Unknown AGAGTAGA E504,[N|S|E]504 249 CTCTGAGC Unknown AGAGTAGA E504,[N|S|E]504 248 AAGAGGGC Unknown TATCCTCT E503,S503,[N|S|E]503 248 TAAGGCGA N701 TATCCTTC Unknown 248 TGCTGAGC N704 AGAGTAGA E504,[N|S|E]504 248 GCTACGCT N709 TACCCTCT E503,S503,[N|S|E]503 248 AGGCAGAA N703 GAGTAGAT Unknown 247 CTCTCTAC N707 TATCCTGT E503,S503,[N|S|E]503 246 TCTACCCT E504,[N|S|E]504 TATCCTCT E503,S503,[N|S|E]503 246 CGTACTAG N702 AGATAGAT Unknown 246 TTAGGGGA Unknown TGTGCTGT Unknown 245 AGGCCAGA Unknown AGAGTAGA E504,[N|S|E]504 244 TTAGGCGA N701,S522 TGTGTTGT Unknown 244 TCCTTCTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 243 CTGAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 243 TCCTGAGC N704 TATCCCTT Unknown 243 TCCTGAGC N704 TATCCTTT E503,S503,[N|S|E]503 242 CGAGGCTG N710 TATCCCTT Unknown 242 CTCTCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 242 GGACTCCT N705 TATCTCTT Unknown 240 TTCTGAGC N704 AGTGCAGT Unknown 240 GGACTCCT N705 ATCCTCTT Unknown 240 TAAAGCGA N701 TATCCTCT E503,S503,[N|S|E]503 240 CGTACTAG N702 TGTGCTCT A503 239 TAAGCATG N706 TATCCTCT E503,S503,[N|S|E]503 239 TCCTGAGC N704 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 238 CGTACCTA Unknown AGAGTAGA E504,[N|S|E]504 238 AAGAGGCA N711 TATTCTCT A503,E503,S503,[N|S|E]503 237 CTCTCTAC N707 TATGGTCA Unknown 236 TAAGGCGA N701 AGATTAGA E504,[N|S|E]504 236 AGGCATGA Unknown TATCCTCT E503,S503,[N|S|E]503 235 AGGCAGAA N703 TGTGTTGT Unknown 233 CTTACGCT Unknown TATCCTCT E503,S503,[N|S|E]503 232 CTCTCTTC N707 TTTCCTCT E503,S503,[N|S|E]503 232 CGTACTAG N702 TGTGTAGT Unknown 231 AGGCAGCA N703 TGTGCTGT Unknown 231 CTCTCTAC N707 CTGTCTCT Unknown 230 TTAGGCGA N701,S522 TGTCCTCT A503,E503,S503,[N|S|E]503 230 TAAGGCGA N701 AGTGCTCT Unknown 230 TTCTCTAC N707 TTTCCTCT E503,S503,[N|S|E]503 230 TAGGCCTG N706 TATCCTCT E503,S503,[N|S|E]503 230 CGAGGCTG N710 GCGTAAGA E517,S517,[N|S|E]517 229 GTCGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 229 GCTACGCT N709 TAATCCTC Unknown 229 GGAGAGGG Unknown TATCCTCT E503,S503,[N|S|E]503 229 CTCTCTCT E502,S502,[N|S|E]502 TATCCTCT E503,S503,[N|S|E]503 227 CCCTCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 227 AGGCAGAA N703 AGAGCTGA Unknown 226 CGTACTAG N702 TGTGTTGT Unknown 226 TAAGGCGA N701 TGAGCTGA Unknown 225 CCTCCTCT Unknown TATCCTCT E503,S503,[N|S|E]503 224 TAAGGCGA N701 AGAGTTCG Unknown 224 CTAGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 224 GGAGGAAT Unknown TATCCTCT E503,S503,[N|S|E]503 223 TAGGCATG N706 CATCCTCT E503,S503,[N|S|E]503 223 TAGAGCCA Unknown TATCCTCT E503,S503,[N|S|E]503 223 GTCTCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 223 TAAGGCGT N701 TATCCTCT E503,S503,[N|S|E]503 222 GTAGAGGA N712 TTATCCTC Unknown 222 CTCTCGCC Unknown TATCCTCT E503,S503,[N|S|E]503 222 TTAGGTGA Unknown TGTGCTGT Unknown 222 CTCTGAGC Unknown TATCCTCT E503,S503,[N|S|E]503 221 GTAAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 221 GTGAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 221 AGGCAGAA N703 TATCCTCC E503,S503,[N|S|E]503 219 CGGGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 219 GCTACGGA Unknown TATCCTCT E503,S503,[N|S|E]503 219 CGTACTAG N702 AGAGCTGA Unknown 219 CGGCAGAA N703 AGAGTAGA E504,[N|S|E]504 219 CTAGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 219 CTAGGCGA S513 TGTGCTGT Unknown 219 TCCTGAGC N704 CAGAGTAG Unknown 218 TCATGAGC N704 TATCCTCT E503,S503,[N|S|E]503 218 CGAACTAG N702 AGAGTAGA E504,[N|S|E]504 218 TAGGCATG N706 TATCCTCC E503,S503,[N|S|E]503 217 CGTACTAG N702 TGTCCTCT A503,E503,S503,[N|S|E]503 217 GCGCTATC Unknown TATCCTCT E503,S503,[N|S|E]503 217 AGGCGAAA D505 TATCCTCT E503,S503,[N|S|E]503 217 GAAGGAGA Unknown AGAGTAGA E504,[N|S|E]504 217 AGGCAGAA N703 AGAGTAGC E504,[N|S|E]504 217 CGTACTAA N702 TGTGCTGT Unknown 216 CTCTCTAC N707 CCTCTTCG Unknown 216 TCCTGATC N704 TATCCTCT E503,S503,[N|S|E]503 216 GTCGCGAC Unknown TATCCTCT E503,S503,[N|S|E]503 216 TCCTGCTC Unknown TATCCTCT E503,S503,[N|S|E]503 216 CGAGGCTG N710 TATCCTTT E503,S503,[N|S|E]503 215 TAGGCATG N706 CTCTCTAT E502,S502,[N|S|E]502 214 TTCTCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 214 TTCCTGAG Unknown AGAGTAGA E504,[N|S|E]504 213 TAGGCGTG N706 TATCCTCT E503,S503,[N|S|E]503 213 TAGGCATG N706 TATCCTTC Unknown 213 TAATGCGA D708,N701,S522 TATCCTCT E503,S503,[N|S|E]503 213 CTCTCTAC N707 TATCCTCG E503,S503,[N|S|E]503 212 AAAGAGGC D502 TATCCTCT E503,S503,[N|S|E]503 212 AGGAAGAA N703 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 212 AGACAGAA N703 TATCCTCT E503,S503,[N|S|E]503 211 CTCTCTAC N707 TACTCTTC Unknown 211 CGAGGCTG N710 TTTCCTCT E503,S503,[N|S|E]503 211 CGAGGCTG N710 TACCTCTT Unknown 210 GTTACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 210 AGGCGGAA N703 TGTGCTGT Unknown 210 GTAAGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 210 TCAGGCGA N701 TGTGCTGT Unknown 210 TAAGGCGA N701 AAAGTAGA E504,[N|S|E]504 210 TCCAGAGC N704 AGAGTAGA E504,[N|S|E]504 209 GAAGGCGA N701 TGTGCTCT A503 208 TAAGGGCG Unknown TATCCTCT E503,S503,[N|S|E]503 208 GTCTCGCC Unknown TATCCTCT E503,S503,[N|S|E]503 208 AAAGGCGA N701 TGTGCTGT Unknown 207 CTCTGCAC Unknown TATCCTCT E503,S503,[N|S|E]503 206 CGAGGCTG N710 TTCCTCTT Unknown 206 TTCTCTTC Unknown TATCCTCT E503,S503,[N|S|E]503 205 CTAGGTGA Unknown TGTGCTGT Unknown 205 GTACTAGA Unknown TATCCTCT E503,S503,[N|S|E]503 204 GTCGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 204 AGGCAGAA N703 TGAGCTGT Unknown 203 CGTACTAG N702 TGAGCAGA Unknown 203 CTATCTAA Unknown TATCCTCT E503,S503,[N|S|E]503 203 GTAGCGGG Unknown TATCCTCT E503,S503,[N|S|E]503 202 CGTACAGA Unknown AGAGTAGA E504,[N|S|E]504 202 GTAGAGGA N712 TATCCTCG E503,S503,[N|S|E]503 202 TCCTGAGC N704 TGAGTTGT Unknown 202 GTAGAGGA N712 CCTCTTCG Unknown 201 CTCTCTAC N707 TATTCCTC Unknown 201 TCCTGAGC N704 AGAGGTAG Unknown 201 TCCTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 200 TCCTGAGC N704 AGGGTAGA E504,[N|S|E]504 200 CTAGGCAT Unknown TATCCTCT E503,S503,[N|S|E]503 199 TCCGGCGC Unknown TATCCTCT E503,S503,[N|S|E]503 199 TACGGCGC Unknown TATCCTCT E503,S503,[N|S|E]503 199 GTAACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 199 AGGCAAAA N703 AGAGTAGA E504,[N|S|E]504 198 AGGCAGAA N703 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 198 GTAGAGGA N712 TATCCTGT E503,S503,[N|S|E]503 198 TCCTGAGC N704 AGAGGATC E503,S503,[N|S|E]503 198 GTCACGAC A701 TATCCTCT E503,S503,[N|S|E]503 197 AGGCCGAA N703 AGAGTAGA E504,[N|S|E]504 197 CGCACTAG N702 TATCCTCT E503,S503,[N|S|E]503 197 TCGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 197 TCCTGAGC N704 AGAGTCGA E504,[N|S|E]504 197 GTAACGCT Unknown TATCCTCT E503,S503,[N|S|E]503 197 GCCCCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 196 TAGGCATG N706 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 196 TCAGGCGC Unknown AGAGTAGA E504,[N|S|E]504 196 GTTACGAT Unknown TATCCTCT E503,S503,[N|S|E]503 196 AGGGAGAA N703 TATCCTCT E503,S503,[N|S|E]503 196 CGTACTGG N702 AGAGTAGA E504,[N|S|E]504 196 GCTACGGC Unknown TATCCTCT E503,S503,[N|S|E]503 196 GGAGTCCT N705 TATCCTCT E503,S503,[N|S|E]503 195 GTAGAGGA N712 TATTCCTC Unknown 195 TCCGGAGC D702,N704 TGTGCTGT Unknown 195 TCCTGAGC N704 TACCTCTT Unknown 194 CGTACTAG N702 GAGTAGAT Unknown 194 TTCTGTGC Unknown TGTGCTGT Unknown 193 TCCTGAGC N704 AGAGTAAA E504,[N|S|E]504 193 CACTCTAC N707 TATCCTCT E503,S503,[N|S|E]503 193 CGTACTGA Unknown AGAGTAGA E504,[N|S|E]504 192 GTAACGGA Unknown TATCCTCT E503,S503,[N|S|E]503 192 CCTACTCT E504,[N|S|E]504 TATCCTCT E503,S503,[N|S|E]503 192 GGACTCCC N705 TATCCTCT E503,S503,[N|S|E]503 191 CGTACTAT N702 AGAGCAGA E504,[N|S|E]504 191 GCTGCTAT Unknown TATCCTCT E503,S503,[N|S|E]503 190 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 TATCCTCT E503,S503,[N|S|E]503 190 CTAGCTAC Unknown TATCCTCT E503,S503,[N|S|E]503 190 AGGCAGAA N703 TGTGCAGA Unknown 190 AAAGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 189 GAAGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 188 TAAGGCGA N701 AGACTAGA E504,[N|S|E]504 188 TCATGCGA S522 AGAGTAGA E504,[N|S|E]504 188 TTCTGCGC Unknown TATCCTCT E503,S503,[N|S|E]503 188 GTAGAGGA N712 TACTCTTC Unknown 187 CAAGGCGA N701 AGAGCAGA E504,[N|S|E]504 186 CTCGCGAC Unknown TATCCTCT E503,S503,[N|S|E]503 186 CTCTCTAC N707 TTATCCTC Unknown 186 CTAGGCGA S513 TATCCTCT E503,S503,[N|S|E]503 186 TCCGGCGC Unknown AGAGTAGA E504,[N|S|E]504 185 GTAGAGGA N712 AGAGTAGA E504,[N|S|E]504 185 CGTACTAG N702 CGAGTAGA E504,[N|S|E]504 184 TCCTGAGC N704 AGAATAGA E504,[N|S|E]504 183 TAAGGCGA N701 CTATCCTC Unknown 183 TTTCTTCA Unknown TATCCTCT E503,S503,[N|S|E]503 183 AAGAGGAA N711 GAGAAGAG Unknown 183 AAAAGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 183 GGACAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 182 CTCTGGAC Unknown TATCCTCT E503,S503,[N|S|E]503 182 CTGGCATG Unknown TATCCTCT E503,S503,[N|S|E]503 181 TAAGGCTA N701,S521 TATCCTCT E503,S503,[N|S|E]503 181 TCAGGAGC Unknown AGAGTAGA E504,[N|S|E]504 181 TCCTGAGC N704 AGAGTTAG Unknown 180 GTAGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 180 AGGTAGAA N703,S515 AGAGTAGA E504,[N|S|E]504 180 ATCTCTAC N707 GATCCTCT E503,S503,[N|S|E]503 180 TAAGGAGA N701 TGTGCTGT Unknown 180 TGTACTAG A506,N702 TATCCTCT E503,S503,[N|S|E]503 179 ATCTCTAC N707 AATCCTCT E503,S503,[N|S|E]503 179 GTCGCTAC Unknown TATCCTCT E503,S503,[N|S|E]503 179 TAAGGCGA N701 AGCGTAGA E504,[N|S|E]504 179 AACAGGCA N711 TATCCTCT E503,S503,[N|S|E]503 179 TAAGGCGA N701 TGTGTTGA Unknown 179 TAGAGGCA N711 TTTCCTCT E503,S503,[N|S|E]503 178 AGGCAGAT N703 TATCCTCT E503,S503,[N|S|E]503 177 TTAGGGGA Unknown TGTGCTCT A503 177 AAGAGGCA N711 AGAGTAGA E504,[N|S|E]504 177 GTATCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 176 TAGGGCAT Unknown TATCCTCT E503,S503,[N|S|E]503 176 GGACTCCT N705 TATCCCTT Unknown 176 TAAGAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 175 TTCTGCAC Unknown TATCCTCT E503,S503,[N|S|E]503 175 TTAAGGCG Unknown TATCCTCT E503,S503,[N|S|E]503 175 AAGGCAAT S520 TATCCTCT E503,S503,[N|S|E]503 174 TAAGGCGA N701 TGGGTAGA Unknown 174 CGACTAGA Unknown AGAGTAGA E504,[N|S|E]504 174 GGACTCTA Unknown TATCCTCT E503,S503,[N|S|E]503 174 CGTACTAG N702 AGTGCTGA Unknown 173 AGGCAGAA N703 AATCCTCT E503,S503,[N|S|E]503 173 CTCTGTAC N707 TGTGCTCT A503 173 GCTACGCT N709 TATGCTGT E506,S506,[N|S|E]506 172 AGGCGAAA D505 AGAGTAGA E504,[N|S|E]504 172 TAAGGCGA N701 TATCCCTC Unknown 172 AGGCAGAA N703 CGAGTAGA E504,[N|S|E]504 172 TCCTGAGC N704 AGGAGTAG A712 172 GCTCCCCT Unknown TATCCTCT E503,S503,[N|S|E]503 171 TAAGACGA N701 AGAGTAGA E504,[N|S|E]504 171 TGGCGGGA Unknown AGAGTAGA E504,[N|S|E]504 171 TCGTGAGC N704 AGAGTAGA E504,[N|S|E]504 171 AAGAGGCA N711 TAGCGGCT Unknown 171 TCCTGCGC N704 TGTGCTGT Unknown 171 GTAGCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 170 TTAAGGGG Unknown AGAGTAGA E504,[N|S|E]504 170 CTCTCTAC N707 TATCTTCG Unknown 169 CGTACTAG N702 AGAGCTGT Unknown 169 GTAGAGGA N712 TATCTTCG Unknown 168 TAAGGCGA N701 TGAGTTGA Unknown 167 AGGCAGAA N703 AGAGTGGA E504,[N|S|E]504 167 AAGAGGCA N711 TATCCTCG E503,S503,[N|S|E]503 167 GGAGAGGA N712 GAGAAGAG Unknown 167 GCTACGCT N709 TATCCCCT E503,S503,[N|S|E]503 167 GTAGCGAC Unknown TATCCTCT E503,S503,[N|S|E]503 167 GGAGGGGG Unknown TATCCTCT E503,S503,[N|S|E]503 166 TCCTGAGC N704 TTCCTCTT Unknown 166 GTCGAGGC Unknown TATCCTCT E503,S503,[N|S|E]503 166 TAGGATGA Unknown TATCCTCT E503,S503,[N|S|E]503 166 TCCTGGGC N704 TGTGCTGT Unknown 166 TCCTGAGC N704 AAGAGTAG Unknown 165 TCTTCCTT Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 165 TCTAGGGT Unknown TATCCTCT E503,S503,[N|S|E]503 165 GACTCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 165 GGCAGAAA Unknown TATCCTCT E503,S503,[N|S|E]503 165 TACTGAGA Unknown AGAGTAGA E504,[N|S|E]504 164 TTCTGAGC N704 TGTGCAGT E506,S506,[N|S|E]506 164 CGTACTCG N702 TATCCTCT E503,S503,[N|S|E]503 164 AGGAGAAA Unknown TATCCTCT E503,S503,[N|S|E]503 164 GTAGGGGG Unknown TATCCTCT E503,S503,[N|S|E]503 164 GTAGAGGA N712 TATCCGCT E503,S503,[N|S|E]503 164 TTAGGCGA N701,S522 AGTGTTGT Unknown 163 TCCTCCTC Unknown TATCCTCT E503,S503,[N|S|E]503 163 TAAGGCGA N701 TAGCCTCT E503,S503,[N|S|E]503 163 AGGCAGAA N703 AGAGTAAG Unknown 163 GGACTCGT N705 TATCCTCT E503,S503,[N|S|E]503 162 AAGACGCA N711 TATCCTCT E503,S503,[N|S|E]503 162 AAGAGGCT N711 TATCCTCT E503,S503,[N|S|E]503 162 CCGTACTA Unknown TATCCTCT E503,S503,[N|S|E]503 162 AGGCAGAA N703 TATGCTGT E506,S506,[N|S|E]506 161 AGGCCGAA N703 TGTGCTGT Unknown 161 CTTACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 161 CCTACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 161 AAGAGGCA N711 CCTCTTCG Unknown 160 AGGGAGAA N703 AGAGTAGA E504,[N|S|E]504 160 CTCTCTAC N707 TATGGGCA Unknown 160 TAGGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 160 TAGGAATG N706 TATCCTCT E503,S503,[N|S|E]503 159 CGTAGTAG N702 TATCCTCT E503,S503,[N|S|E]503 159 CGTAGTAA Unknown AGAGTAGA E504,[N|S|E]504 159 CTCTCTAC N707 TAGGGTCG Unknown 158 GGGCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 158 CGCACTAC Unknown AGAGTAGA E504,[N|S|E]504 158 GCTAGGCT N709 TGTGCTGT Unknown 158 TCCTGAGC N704 ATAGTAGA E504,[N|S|E]504 157 CGTCTAGA Unknown AGAGTAGA E504,[N|S|E]504 157 GTAGCGCA Unknown TATCCTCT E503,S503,[N|S|E]503 157 AGGCAGAA N703 TATCCTTC Unknown 157 CCTCCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 157 CCCCCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 157 CGTACTAT N702 TGTGCTGT Unknown 156 GCTACGCT N709 TATCGTCT E503,S503,[N|S|E]503 156 GAGGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 156 GCTACGCT N709 TATCTTCT E503,S503,[N|S|E]503 155 TCCTAAGC N704 AGAGTAGA E504,[N|S|E]504 155 TTCTCTTC Unknown TTTCCTCT E503,S503,[N|S|E]503 155 CTAGGCTC Unknown TATCCTCT E503,S503,[N|S|E]503 155 TGGGCATG N706 TATCCTCT E503,S503,[N|S|E]503 155 CGAGGCTG N710 CATCCTCT E503,S503,[N|S|E]503 155 GGACTCCT N705 TGTCCTCT A503,E503,S503,[N|S|E]503 154 TCCTGAGC N704 AGAGTACA A503,E504,[N|S|E]504 154 AGGCAGAA N703 AGGTAGAT Unknown 154 TAGGCATG N706 CTATCCTC Unknown 154 TCCTGAGC N704 AGAGATCG Unknown 154 CTCTCTAC N707 TAGGGCTG Unknown 153 GCTTCGCT N709 TATCCTCT E503,S503,[N|S|E]503 153 GCTACGCT N709 TATCCGCT E503,S503,[N|S|E]503 153 TAGGCATT N706 TTTCCTCT E503,S503,[N|S|E]503 153 TTAGGCGA N701,S522 TGTGCAGT E506,S506,[N|S|E]506 153 TCCTGAGG N704 TATCCTCT E503,S503,[N|S|E]503 152 AGGCGGCA Unknown TGTGCTGT Unknown 152 TTAGGCGA N701,S522 AGTGCAGT Unknown 152 GTCTGAGC Unknown TGTGCTGT Unknown 152 TCCTGACA Unknown TATCCTCT E503,S503,[N|S|E]503 152 CGTACTAG N702 TGTGCAGA Unknown 152 TAAGGCGA N701 TGTCCTGT Unknown 152 CGGGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 152 CTCTGTCA Unknown TATCCTCT E503,S503,[N|S|E]503 151 TTAGTGGA Unknown TTTCCTCT E503,S503,[N|S|E]503 151 CTCTCTAC N707 CTGCCTCT Unknown 151 GGGCAGAA N703 TGTGCTGT Unknown 151 GTATCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 150 GGACTCCT N705 TTCCTCTT Unknown 150 TCCTGAAC N704 AGAGTAGA E504,[N|S|E]504 150 TAAGGCGA N701 AGGGGAGG Unknown 150 CTTACTAC Unknown TATCCTCT E503,S503,[N|S|E]503 150 CTTACTAG N702,S518 TATCCTCT E503,S503,[N|S|E]503 150 TAGGCATG N706 TCCTCTTC Unknown 149 CCCCCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 149 GCCTCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 149 TCCTGAGC N704 AGATTAGA E504,[N|S|E]504 149 TAAGGCGT N701 TGTGCTGT Unknown 149 CCACGAGA Unknown TATCCTCT E503,S503,[N|S|E]503 149 CGTACTAG N702 TGAGTAGT Unknown 148 TCCTGAGC N704 AGAGTCGT Unknown 148 AAGAGGCA N711 TAGAGGCT Unknown 148 TAAAGGCG Unknown TATCCTCT E503,S503,[N|S|E]503 148 TAAGGCGG N701 TGTGCTGT Unknown 147 CGTACTAG N702 TGTGTAGA Unknown 147 CTATCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 147 TCCTGACC N704 TGTGCTGT Unknown 147 CCCTGAGC N704 AGAGCAGA E504,[N|S|E]504 147 GCTACGCT N709 TATCCTGT E503,S503,[N|S|E]503 147 GTATCTAC Unknown TATCCTCT E503,S503,[N|S|E]503 147 TAAGGCGA N701 GATCCTCT E503,S503,[N|S|E]503 147 TACTGCGA Unknown AGAGTAGA E504,[N|S|E]504 147 GGAGAGGA N712 TGTGCTGT Unknown 147 GATAGGCT Unknown TATCCTCT E503,S503,[N|S|E]503 146 TAGAGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 146 AGGCGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 146 TCCTGCGA Unknown AGAGTAGA E504,[N|S|E]504 146 TCCTTGAG Unknown AGAGTAGA E504,[N|S|E]504 146 GCAGGGGA Unknown TGTGCTGT Unknown 146 GTAGAGAT Unknown TATCCTCT E503,S503,[N|S|E]503 146 TAAGGCGA N701 TACCCTCT E503,S503,[N|S|E]503 146 TCATGCGC D708 AGAGTAGA E504,[N|S|E]504 146 AAGAGGCA N711 TATTCCTC Unknown 146 GGACTGCT N705 TATCCTCT E503,S503,[N|S|E]503 146 TACTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 146 TTCGGCGC Unknown TATCCTCT E503,S503,[N|S|E]503 145 CGTAATAG N702,S518 AGAGTAGA E504,[N|S|E]504 145 TCCTGAGC N704 AGAAGTAG Unknown 145 CTTTCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 145 TTAGGGGA Unknown AGAGTAGA E504,[N|S|E]504 145 CTCTCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 145 AGTACTAG N702 AGAGTAGA E504,[N|S|E]504 145 TCCTGAGC N704 AGAGTATA E503,E504,S503,[N|S|E]503,[N|S|E]504 145 TAAGGCGA N701 TGGGGAGC Unknown 145 ATCAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 145 TAGGCATG N706 TATCCCTC Unknown 145 TAAGGCGA N701 AATCCTCT E503,S503,[N|S|E]503 145 TGTACCAG Unknown AGAGTAGA E504,[N|S|E]504 145 TAAGGCGA N701 TATGGACA Unknown 145 GGTCTCCT N705 TATCCTCT E503,S503,[N|S|E]503 144 GCTAGGCT N709 TATGCTCT E503,S503,[N|S|E]503 144 TCCTGAGC N704 CATCCTCT E503,S503,[N|S|E]503 143 TCCTGAGC N704 TATCCTCC E503,S503,[N|S|E]503 143 TAAGGCGA N701 AGAGTCGG Unknown 143 TCCTGAGC N704 TATGCTGT E506,S506,[N|S|E]506 143 CGAGGTGA Unknown TATCCTCT E503,S503,[N|S|E]503 143 TCTCCCCT Unknown TATCCTCT E503,S503,[N|S|E]503 143 TAACGCGA N701 AGAGTAGA E504,[N|S|E]504 142 GAGGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 142 CTAGCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 142 GGACTCCT N705 TTTCCTCT E503,S503,[N|S|E]503 142 AGGCAGAA N703 CTATCCTC Unknown 142 TCCTTCGC Unknown TATCCTCT E503,S503,[N|S|E]503 142 CGAGGCTG N710 TGTGCTGT Unknown 142 GCTACGCT N709 TAGCCTCT E503,S503,[N|S|E]503 142 CCTGAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 142 TAAGGAGA N701 TAGAAGAG Unknown 142 GAAGGCGA N701 AGTGCTGT Unknown 141 TCCCGAGC N704 TATCCTCT E503,S503,[N|S|E]503 141 TATGGCGA N701 AGAGTAGA E504,[N|S|E]504 141 AAGAGGCA N711 TAGCGGCC Unknown 141 TAGGGCGA N701 TGTGCTGT Unknown 140 GCAGAGGT Unknown TATCCTCT E503,S503,[N|S|E]503 140 GTAGAGGA N712 CTCTTCGT Unknown 140 TCCTGAGC N704 AGAGTACG Unknown 140 CGTGCTAG N702 AGAGTAGA E504,[N|S|E]504 139 TCCTTCTC Unknown AGAGTAGA E504,[N|S|E]504 139 TAAGGCTG S521 TATCCTCT E503,S503,[N|S|E]503 139 ACTACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 139 GGACTCCT N705 TATCCTTT E503,S503,[N|S|E]503 139 TAATGCGC D708 AGAGTAGA E504,[N|S|E]504 139 GGACTCCT N705 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 139 TAAGGCGA N701 TATCCTGT E503,S503,[N|S|E]503 138 GTAGAATC Unknown TATCCTCT E503,S503,[N|S|E]503 138 TAGGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 138 TAAGGCGA N701 AATGCTGT Unknown 138 GTATCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 138 AGACAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 138 TTCTCAAC Unknown TATCCTCT E503,S503,[N|S|E]503 138 AAGAGGCA N711 TTATCCTC Unknown 137 TAAGGCGA N701 TATCTTCT E503,S503,[N|S|E]503 137 TAAGGCGA N701 TCCTCTTC Unknown 137 TAAGGCGA N701 CTGTCTCT Unknown 137 ATAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 137 CTGAGCAT Unknown AGAGTAGA E504,[N|S|E]504 137 CAAGGTGA Unknown AGAGTAGA E504,[N|S|E]504 136 TAAGCCGA N701 TATCCTCT E503,S503,[N|S|E]503 136 CGAACTAG N702 TGTGCTGT Unknown 135 CGTACTAT N702 AGTGTTGT Unknown 135 AGGAAGAA N703 AGAGTAGA E504,[N|S|E]504 135 TAAGGTGA N701 TATCCTCT E503,S503,[N|S|E]503 135 GCAGCGCT Unknown TATCCTCT E503,S503,[N|S|E]503 135 GTTACTCT Unknown TATCCTCT E503,S503,[N|S|E]503 135 TCCTTATC Unknown TATCCTCT E503,S503,[N|S|E]503 135 TAGACATG N706 TATCCTCT E503,S503,[N|S|E]503 135 AGGCAGAA N703 AGTGCTGA Unknown 135 AAAAGACA Unknown TATCCTCT E503,S503,[N|S|E]503 135 TAAGGCGA N701 AGAAGATC Unknown 135 TTAGGCGC Unknown TATCCTCT E503,S503,[N|S|E]503 134 TCCTGTGC N704 TGTGTTGT Unknown 134 GTCGCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 134 AAGAGGCA N711 TATCTTCG Unknown 134 TAAGACGA N701 TATCCTCT E503,S503,[N|S|E]503 134 CTTCCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 134 GGAGTCGT Unknown TATCCTCT E503,S503,[N|S|E]503 133 CGAGGCTG N710 TGTGCTCT A503 133 TCCTGAGC N704 GGAGTAGG Unknown 133 CCCTTCTC Unknown TATCCTCT E503,S503,[N|S|E]503 132 AAGAGGCA N711 TACTCTTC Unknown 132 GTAGAGGA N712 GCGTAAGA E517,S517,[N|S|E]517 131 GCTACGCT N709 TATTCCTC Unknown 131 GTAGGCGA Unknown TGTGCTCT A503 131 AGAGAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 130 TCATGAGA Unknown TGTGCTGT Unknown 130 TTCTCTTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 130 CTTACTCT Unknown TATCCTCT E503,S503,[N|S|E]503 130 GGACTCCA N705 TATCCTCT E503,S503,[N|S|E]503 130 GTAGAGGA N712 TATGCTGT E506,S506,[N|S|E]506 130 TAAGGCGC D708,N701,S521 TGTGCTGT Unknown 130 TTAGGGGA Unknown TGTCCTCT A503,E503,S503,[N|S|E]503 129 GCTAGGCC Unknown TATCCTCT E503,S503,[N|S|E]503 129 TTAGGCAT Unknown TATCCTCT E503,S503,[N|S|E]503 129 CCCCTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 129 TAAGGCGA N701 TAATCCTC Unknown 129 GTAGAGGA N712 TATTCTTC Unknown 128 CGTATAGA Unknown AGAGTAGA E504,[N|S|E]504 128 TTCTGAGC N704 AGAGCAGT Unknown 128 AGGCAGAA N703 TGTGTAGA Unknown 128 AGGCAGAG N703 TATCCTCT E503,S503,[N|S|E]503 128 TCCGAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 128 CGTACTAG N702 TGAGCAGT Unknown 128 TTCTGAGC N704 AGTGCAGA Unknown 128 TCAGGAGA D702 TGTGCTGT Unknown 128 CTCTGAGC Unknown AGAGCAGA E504,[N|S|E]504 128 TAAGGCGA N701 CGGGCTGT Unknown 128 TTCTCTAC N707 TATGCTCT E503,S503,[N|S|E]503 128 TAGGCATG N706 TACCCTCT E503,S503,[N|S|E]503 128 CCTCTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 128 AGGAGAAA Unknown AGAGTAGA E504,[N|S|E]504 127 TCCTGAGC N704 TGAGCTGA Unknown 127 GTCTAGGC Unknown TATCCTCT E503,S503,[N|S|E]503 127 TAGGGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 127 CGTACTAG N702 AGAGTAGC E504,[N|S|E]504 126 TAAGCCGA N701 TGTGCTGT Unknown 126 ATCTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 126 TCTAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 125 CTTACTCC Unknown TATCCTCT E503,S503,[N|S|E]503 125 CAAGGTGA Unknown TGTGCTGT Unknown 125 TAAGGCGA N701 ACAGTAGA E504,[N|S|E]504 125 TCCTGAGC N704 TGTGTTGA Unknown 125 AAGAGGCA N711 TAGCGTCT Unknown 125 TTCTGAGC N704 AGTGTAGA E504,[N|S|E]504 125 GGACTCCT N705 TACCTCTT Unknown 125 ATGCCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 125 GGAGGCGA Unknown TATCCTCT E503,S503,[N|S|E]503 125 CGAGGCTG N710 TATCCTCC E503,S503,[N|S|E]503 124 ATGAGTCA Unknown TATCCTCT E503,S503,[N|S|E]503 124 CTCGCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 124 TCTACGCT E504,N709,[N|S|E]504 TTTCCTCT E503,S503,[N|S|E]503 124 TCCTGAGA D702,N704 AGAGCAGA E504,[N|S|E]504 124 TTCTGCGC Unknown AGAGTAGA E504,[N|S|E]504 124 TTCTGTAC Unknown TGTGCTGT Unknown 124 GTTGAGGA N712 TATCCTCT E503,S503,[N|S|E]503 124 AAGAGGCA N711 TGTCCTGT Unknown 124 TAGAGGCA N711 TGTGCTGT Unknown 123 GCTAGGCT N709 TGTGCTCT A503 123 TTCTCTAC N707 TGTGCTGT Unknown 123 GCTTACGC E517,S517,[N|S|E]517 TATCCTCT E503,S503,[N|S|E]503 123 TTCTGAGC N704 AGAGTAGT E504,[N|S|E]504 123 TCAGAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 122 TAGGCATG N706 TATGCTGT E506,S506,[N|S|E]506 122 CGAACTAG N702 TATCCTCT E503,S503,[N|S|E]503 122 ACCTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 122 CTCTCTGC N707 TGTGCTGT Unknown 122 GGTGGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 122 TCCCTCTC Unknown TATCCTCT E503,S503,[N|S|E]503 122 TAAGGTGA N701 TGTGCTGT Unknown 122 TTAGACGA Unknown TATCCTCT E503,S503,[N|S|E]503 121 CGAGAGAA Unknown TAGAAGAG Unknown 121 TCCTGAGC N704 CGCGTAGA Unknown 121 TTCTCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 121 AAGAGGCA N711 AGTGCTGT Unknown 121 GTATAGGC Unknown TATCCTCT E503,S503,[N|S|E]503 121 TTAGGCGA N701,S522 AGAGCAGA E504,[N|S|E]504 121 AGGCAGGA N703 TGTGCTGT Unknown 120 CGAGGATG N710 TATCCTCT E503,S503,[N|S|E]503 120 AGGCAGAA N703 GATCCTCT E503,S503,[N|S|E]503 120 AGGGAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 120 CTCTGTAC N707 TATGCTCT E503,S503,[N|S|E]503 119 AGGCAGAA N703 AAACCGCC Unknown 119 CTCACGAC A701 TATCCTCT E503,S503,[N|S|E]503 119 TTTCTTCC Unknown TATCCTCT E503,S503,[N|S|E]503 119 CTCCTGAG Unknown TATCCTCT E503,S503,[N|S|E]503 119 TAAGGCGA N701 TGTGGAGA Unknown 119 CTCGGTAC Unknown TATCCTCT E503,S503,[N|S|E]503 119 TCCTGATC N704 AGAGTAGA E504,[N|S|E]504 119 ATGAGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 119 GGGGGGGG Unknown TATCCTCT E503,S503,[N|S|E]503 119 GGCAGAAA Unknown AGAGTAGA E504,[N|S|E]504 119 CGTACTAG N702 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 118 CGAGGGCT Unknown TATCCTCT E503,S503,[N|S|E]503 118 TGGCGGAA Unknown AGAGTAGA E504,[N|S|E]504 118 TCAGGCGC Unknown TATCCTCT E503,S503,[N|S|E]503 118 TACTGCGC D708 TATCCTCT E503,S503,[N|S|E]503 118 AGGGCAGA Unknown TATCCTCT E503,S503,[N|S|E]503 118 CGTACTAG N702 AGAGTGGA E504,[N|S|E]504 118 CTCTCTAC N707 CTCTTCGT Unknown 117 TCCTGAGC N704 TGAGTTGA Unknown 117 CTTTCTAT E502,S502,[N|S|E]502 TATCCTCT E503,S503,[N|S|E]503 117 CTCTCATC Unknown TATCCTCT E503,S503,[N|S|E]503 117 TCCTGAGC N704 AGACTAGA E504,[N|S|E]504 117 TCCGGAGC D702,N704 AGTGCTGT Unknown 117 GGACTCAT N705 TATCCTCT E503,S503,[N|S|E]503 117 CGTACTAG N702 ATCCTCTT Unknown 117 TCCTTAGC N704 TATCCTCT E503,S503,[N|S|E]503 116 CGTACTAG N702 AGAGTAAG Unknown 116 GATACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 116 AAGGGGGA Unknown AGAGTAGA E504,[N|S|E]504 116 TCCTGAGA D702,N704 AGTGCTGT Unknown 116 AAGCGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 115 AGGCAGAA N703 AAGTAGAT Unknown 115 CTCTCTAC N707 TATTCTTC Unknown 115 CAGGCATC Unknown TATCCTCT E503,S503,[N|S|E]503 115 GTAGGGGC Unknown TATCCTCT E503,S503,[N|S|E]503 115 ACTAGGCT Unknown TATCCTCT E503,S503,[N|S|E]503 115 GTAAGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 115 TGAGGCGA N701 TGTGCTGT Unknown 115 AGAGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 115 TAGTCATG N706 TATCCTCT E503,S503,[N|S|E]503 115 CGTACTAG N702 AGAGTATC Unknown 114 GCAGAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 114 CTCTCCAT E502,S502,[N|S|E]502 TATCCTCT E503,S503,[N|S|E]503 114 TTAGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 114 TAAGGCGA N701 AGATCGTC Unknown 114 GTAGAGGA N712 TAGCCTCT E503,S503,[N|S|E]503 114 GTAGAGGA N712 TCTTCGTC Unknown 113 AGCCAGAA N703,S515 TATCCTCT E503,S503,[N|S|E]503 113 GGGGGAGG Unknown TATCCTCT E503,S503,[N|S|E]503 113 GTCTGGGC Unknown TATCCTCT E503,S503,[N|S|E]503 113 GCAGCGCA Unknown TATCCTCT E503,S503,[N|S|E]503 113 CACGAGAC Unknown AGAGTAGA E504,[N|S|E]504 113 TCCTTAGC N704 AGAGTAGA E504,[N|S|E]504 113 TTTTTTTT Unknown TTTCCTCT E503,S503,[N|S|E]503 113 AGGAAGAA N703 TATCCTCT E503,S503,[N|S|E]503 113 CAAGGCGA N701 TGTGCAGT E506,S506,[N|S|E]506 113 AGGCAGAC N703 TATCCTCT E503,S503,[N|S|E]503 113 GAAGGCGA N701 TGTGCAGT E506,S506,[N|S|E]506 113 CGCACTAG N702 TGTGCTGT Unknown 113 GCTACCCC Unknown TATCCTCT E503,S503,[N|S|E]503 113 CTCTGGCC Unknown TATCCTCT E503,S503,[N|S|E]503 112 TCCTTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 112 TAAGGCGA N701 AGAGGAGG Unknown 112 CTCTCTAC N707 TCTTCGTC Unknown 112 CTATCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 112 TCAGGGGA Unknown TGTGCTGT Unknown 112 CGAGGCTG N710 TATCCTTC Unknown 111 AGGTAGAA N703,S515 TATCCTCT E503,S503,[N|S|E]503 111 CTCTCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 111 ACGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 111 TCCTGAGA D702,N704 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 111 TTAGGCGA N701,S522 AGAGCAGT Unknown 111 GCTCTCCT Unknown TATCCTCT E503,S503,[N|S|E]503 111 TAAGGCGA N701 AGAGAAGA A503,E504,[N|S|E]504 111 GCTACGCT N709 TATCCTCG E503,S503,[N|S|E]503 111 AGACAGAA N703 AGAGTAGA E504,[N|S|E]504 111 TAGGCAAG N706 TATCCTCT E503,S503,[N|S|E]503 110 TAAGGCAT Unknown TATCCTCT E503,S503,[N|S|E]503 110 GTATCTGC Unknown TATCCTCT E503,S503,[N|S|E]503 110 GAAAGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 110 TAGGCATG N706 TATCTTCT E503,S503,[N|S|E]503 110 TCCGGCGA D702 TATCCTCT E503,S503,[N|S|E]503 109 AGGCAGAA N703 AGAGTTGT Unknown 109 AGGCGAAT D505 AGAGTAGA E504,[N|S|E]504 109 GCTACGCT N709 TACTCTTC Unknown 109 CTCTGTAC N707 TGTCCTCT A503,E503,S503,[N|S|E]503 109 CGTACTAT N702 AGAGTAGT E504,[N|S|E]504 109 TTGGCATC Unknown TATCCTCT E503,S503,[N|S|E]503 108 GAAGGCGA N701 AGAGCAGA E504,[N|S|E]504 108 TCCTCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 108 TTAGAGGA N712 TTTCCTCT E503,S503,[N|S|E]503 108 TAAAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 108 AGAGGAAT Unknown TATCCTCT E503,S503,[N|S|E]503 108 TAAGGCGA N701 TATCGTCT E503,S503,[N|S|E]503 108 GTGGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 108 ATGAGGCA N711 TTTCCTCT E503,S503,[N|S|E]503 107 GTAGAGGA N712 TAACCTCT E503,S503,[N|S|E]503 107 TCCTGACC N704 AGAGTAGA E504,[N|S|E]504 107 GTTACGGT Unknown TATCCTCT E503,S503,[N|S|E]503 107 CGAGGCAG N710 TATCCTCT E503,S503,[N|S|E]503 107 GCCCTCCT Unknown TATCCTCT E503,S503,[N|S|E]503 107 AAAGGGGA Unknown TGTGCTGT Unknown 107 GCTACGCT N709 AGAGTAGA E504,[N|S|E]504 107 TAGGGAGA Unknown TATCCTCT E503,S503,[N|S|E]503 106 TAAGGCGA N701 TATTCTCT A503,E503,S503,[N|S|E]503 106 GTAGAAAT Unknown TATCCTCT E503,S503,[N|S|E]503 106 TAATGAGA Unknown AGAGTAGA E504,[N|S|E]504 106 TTAGGTGA Unknown TATCCTCT E503,S503,[N|S|E]503 106 TCCTGAGC N704 AGTGCTCT Unknown 106 CGAGCCCA Unknown TATCCTCT E503,S503,[N|S|E]503 106 GTATATGA Unknown TATCCTCT E503,S503,[N|S|E]503 105 GGACTCCT N705 TATGCTCT E503,S503,[N|S|E]503 105 CTAGGTGA Unknown TATCCTCT E503,S503,[N|S|E]503 105 CTAGCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 105 TAAGGCGA N701 TGTGCACA Unknown 105 CGTACTAA N702 AGAGCAGA E504,[N|S|E]504 105 AGGCAGTA N703 TATCCTCT E503,S503,[N|S|E]503 105 AAGGAGGC Unknown TATCCTCT E503,S503,[N|S|E]503 105 CTAGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 105 CGTACTAG N702 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 104 AATAGGCC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 104 TCCGGAGA D702 AGAGTAGA E504,[N|S|E]504 104 TAAGCAGA Unknown TATCCTCT E503,S503,[N|S|E]503 104 TAAGGCCA N701 AGAGTAGA E504,[N|S|E]504 104 TAGGCATG N706 AATCCTCT E503,S503,[N|S|E]503 104 CCCTCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 104 TAGGCATG N706 TATTCTCT A503,E503,S503,[N|S|E]503 103 GCAGGGGA Unknown TGTGCTCT A503 103 CGTACTAG N702 TATGCTCT E503,S503,[N|S|E]503 103 CTCTCTAC N707 TAGGGTCA Unknown 103 TAAGGCGA N701 AGAGCGTC Unknown 103 CTCTCTGC N707 TGTGCTCT A503 103 AGGCAGAA N703 TCCTCTTC Unknown 103 TCTTCCTT Unknown TATCCTCT E503,S503,[N|S|E]503 103 TTCTGAGC N704 TGTCCTCT A503,E503,S503,[N|S|E]503 103 TTCGCTAC Unknown TATCCTCT E503,S503,[N|S|E]503 102 CAAGGCGA N701 TGTGCTCT A503 102 TAAGGCGA N701 TATGCACA Unknown 102 TCCTGGAG Unknown AGAGTAGA E504,[N|S|E]504 102 TCAGGAGA D702 TATCCTCT E503,S503,[N|S|E]503 102 GAAGGGGA Unknown TATGCTCT E503,S503,[N|S|E]503 102 CGTACTAG N702 TGAGCTGT Unknown 101 TCCTGAAC N704 TATCCTCT E503,S503,[N|S|E]503 101 CTCTGTGC Unknown TGTGCTCT A503 101 CTAGCTAA Unknown TATCCTCT E503,S503,[N|S|E]503 101 ACTCTTCA Unknown TATCCTCT E503,S503,[N|S|E]503 101 CGTACTAG N702 AAGTAGAT Unknown 101 CGCGGCTC Unknown TATCCTCT E503,S503,[N|S|E]503 101 TAAGGCGA N701 TATCCGCT E503,S503,[N|S|E]503 101 TAGGGCTG Unknown TATCCTCT E503,S503,[N|S|E]503 101 GAAGGCGA N701 TGTCCTCT A503,E503,S503,[N|S|E]503 100 GAAGGGGA Unknown AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 100 CGACTAGA Unknown TATCCTCT E503,S503,[N|S|E]503 100 TCTCCGCT Unknown TATCCTCT E503,S503,[N|S|E]503 100 ATAAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 100 CCCCTCTC Unknown TATCCTCT E503,S503,[N|S|E]503 100 TCCTCAGC N704 TATCCTCT E503,S503,[N|S|E]503 100 AGGCAGAA N703 GGAGTAGA E504,[N|S|E]504 100 CTCTGAGC Unknown AGTGCTGT Unknown 100 TAAGGCGA N701 TATCCCCT E503,S503,[N|S|E]503 100 CTCTCTAC N707 AGTGCTGT Unknown 100 TAGGCAAT Unknown TATCCTCT E503,S503,[N|S|E]503 100 AGGCAGAA N703 AGTAGATC Unknown 99 CTCGGTGC Unknown TGTGCTGT Unknown 99 TTCTGAGC N704 TGTGTTGT Unknown 99 TCCTGCAT Unknown AGAGTAGA E504,[N|S|E]504 99 CGGCAGAA N703 CGAGTAGA E504,[N|S|E]504 99 TCTTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 99 AGGCAGAA N703 TATCGTCT E503,S503,[N|S|E]503 99 CGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 98 TCCTGAGC N704 TATCCTTC Unknown 98 GTAGCGTA Unknown TATCCTCT E503,S503,[N|S|E]503 98 GTATGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 98 GCTACGCT N709 TAGAGGCT Unknown 98 TCCTGAGC N704 TATCCCTC Unknown 98 TTAGTGGA Unknown TATCCTCT E503,S503,[N|S|E]503 98 TTAGGCGC Unknown AGAGTAGA E504,[N|S|E]504 98 CGTACTAC N702 TGTGCTGT Unknown 97 CTCTCCTC Unknown TATCCTCT E503,S503,[N|S|E]503 97 CGCACTAC Unknown TATCCTCT E503,S503,[N|S|E]503 97 CAAGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 97 TAAGGAAT Unknown AGAGTAGA E504,[N|S|E]504 97 TAACGCGA N701 TATCCTCT E503,S503,[N|S|E]503 97 AGGCAGAA N703 AGGAGTAG A712 97 TTAGGCGA N701,S522 AGAGTAGT E504,[N|S|E]504 97 GCTGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 97 GTTGCGCT Unknown TATCCTCT E503,S503,[N|S|E]503 97 GTCTCTGA D504 TATCCTCT E503,S503,[N|S|E]503 97 GCCCACGA Unknown TATCCTCT E503,S503,[N|S|E]503 97 GCCTGGGC Unknown TATCCTCT E503,S503,[N|S|E]503 97 GCTACGCT N709 TTATCCTC Unknown 97 CTCTCTAC N707 TATGCGCT Unknown 97 TAAGGAGC Unknown AGAGTAGA E504,[N|S|E]504 96 AAGAGGCA N711 TATACTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 96 TACTGAGC N704 TGTGCTGT Unknown 96 TCCTTCTC Unknown CTCTTCTC Unknown 96 TCCTCATC Unknown TATCCTCT E503,S503,[N|S|E]503 96 GCAGGGGC Unknown TATCCTCT E503,S503,[N|S|E]503 96 TATGCATG N706 TATCCTCT E503,S503,[N|S|E]503 96 AAGAGGCA N711 TAGCCGCT Unknown 96 GTTGAGTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 96 CGTACTAG N702 TATCTCTT Unknown 96 GGGGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 95 GGCTCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 95 TAGGCACA Unknown TATCCTCT E503,S503,[N|S|E]503 95 TAAGGCGA N701 TAGGGCTG Unknown 95 AAGAGGGA N711 TGTGCTGT Unknown 95 TTAAGGGA Unknown AGAGTAGA E504,[N|S|E]504 95 AGTCAGAA D705,N703 TATCCTCT E503,S503,[N|S|E]503 94 TCTTGAGC N704 TGTGCTGT Unknown 94 GCTAAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 94 GCTAGGGT Unknown TGTGCTGT Unknown 94 GAGACGCT Unknown TATCCTCT E503,S503,[N|S|E]503 94 GCTACGCT N709 TAGAGGCC Unknown 94 GTAGAGTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 94 ATCTGTCA Unknown TATCCTCT E503,S503,[N|S|E]503 94 AGGCGGCA Unknown AGAGTAGA E504,[N|S|E]504 94 CGTGGCTG N710 TATCCTCT E503,S503,[N|S|E]503 94 GCAAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 93 AGGCAGAA N703 AAATCGTC Unknown 93 GCTTCTCT Unknown TTTCCTCT E503,S503,[N|S|E]503 93 TGAGGCTA Unknown TATCCTCT E503,S503,[N|S|E]503 93 GCGACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 93 TCCGGCGA D702 AGAGTAGA E504,[N|S|E]504 93 TAAGGCGA N701 TGGGGAGG Unknown 93 GTCTGAGC Unknown TATCCTCT E503,S503,[N|S|E]503 93 CGAGGCTG N710 CTATCCTC Unknown 93 CGCTCTAC N707 AGAGTAGA E504,[N|S|E]504 93 GCTACGCT N709 TATTCTCT A503,E503,S503,[N|S|E]503 93 TCCTGAGT N704 TGTGCTGT Unknown 92 ATCTGTAC Unknown TATCCTCT E503,S503,[N|S|E]503 92 TAAAGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 92 TTCTCTAC N707 TGTCCTCT A503,E503,S503,[N|S|E]503 92 GTAGGGGA N712 TATGCTGT E506,S506,[N|S|E]506 92 TAAGGCGA N701 TAGCGTCT Unknown 92 TAAGGCCA N701 TGTGCTCT A503 92 AACTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 92 TCTCTTCA Unknown TATCCTCT E503,S503,[N|S|E]503 92 CGAGGCTG N710 TATCCCTC Unknown 92 TTCTCTAC N707 TGTGCTCT A503 92 TATGGCGA N701 TATCCTCT E503,S503,[N|S|E]503 92 CCCCCCCC Unknown CCCCCCCC Unknown 92 CGAGGGTA Unknown TATCCTCT E503,S503,[N|S|E]503 92 GGTGAAGG Unknown TATCCTCT E503,S503,[N|S|E]503 92 CTCTATCT Unknown TATCCTCT E503,S503,[N|S|E]503 91 ATTCCTCC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 91 TAAAGCCA Unknown TATCCTCT E503,S503,[N|S|E]503 91 TAAGGCGA N701 TGGGGCTG Unknown 91 AAGAGGCA N711 TAACCTCT E503,S503,[N|S|E]503 91 TAAGGCGA N701 TGTGGACA Unknown 91 CTCTCTCC N707 TTTCCTCT E503,S503,[N|S|E]503 91 CGTACTAG N702 AGGTAGAT Unknown 91 AGGCAGAT N703 AGAGTAGA E504,[N|S|E]504 91 CCTCTCTT Unknown TATCCTCT E503,S503,[N|S|E]503 91 GCATGAGC Unknown AGAGTAGA E504,[N|S|E]504 91 TCTTCTCT A503,E504,[N|S|E]504 TTTCCTCT E503,S503,[N|S|E]503 91 TAAGGGGA N701 AGTGCAGT Unknown 90 TTAGGCGC Unknown TGTGCTGT Unknown 90 GCTACGCT N709 CCTCTTCG Unknown 90 TAAAGGGA Unknown AGAGTAGA E504,[N|S|E]504 90 GATCTCGT Unknown TATCCTCT E503,S503,[N|S|E]503 90 GCCTGAGC N704 AGTGCTGT Unknown 90 GCCTCACC Unknown TATCCTCT E503,S503,[N|S|E]503 90 GTAGAGGA N712 TAGAAGAG Unknown 90 TTAAGGGG Unknown TATCCTCT E503,S503,[N|S|E]503 90 TAAGGCGA N701 TAGAGACC Unknown 90 CGAGGCCA Unknown TATCCTCT E503,S503,[N|S|E]503 90 GGAGAGGA N712 TGTGCTCT A503 90 CGAACTAA Unknown AGAGTAGA E504,[N|S|E]504 90 CGTACTAG N702 TGTGCTGA Unknown 90 TAAGGGCA Unknown TGTGCTGT Unknown 90 GTAGAGGA N712 TATCGTCT E503,S503,[N|S|E]503 89 GCCTTCTC Unknown TATCCTCT E503,S503,[N|S|E]503 89 ATCTGTCC Unknown TATCCTCT E503,S503,[N|S|E]503 89 AAGAGGCA N711 TCTTCGTC Unknown 89 GGGCAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 89 CTTTCTCT Unknown TATCCTCT E503,S503,[N|S|E]503 89 CTAGGTGC Unknown TGTGCTGT Unknown 89 CGTACTAC N702 AGAGCAGA E504,[N|S|E]504 89 GCTATATC Unknown TATCCTCT E503,S503,[N|S|E]503 89 CTCTCTAC N707 TGTCCTGT Unknown 89 TGAGGCGG Unknown TATCCTCT E503,S503,[N|S|E]503 88 ATCTCTAA Unknown TATCCTCT E503,S503,[N|S|E]503 88 GAGGCATT Unknown TATCCTCT E503,S503,[N|S|E]503 88 AGGCAGAA N703 TATCTTCT E503,S503,[N|S|E]503 88 GTAGTGGT Unknown TATCCTCT E503,S503,[N|S|E]503 88 CGGACTCC Unknown TATCCTCT E503,S503,[N|S|E]503 88 GCTACGCT N709 TATCTTCG Unknown 88 TAGGGATG N706 TGTGCTGT Unknown 87 CTTACTAT Unknown TATCCTCT E503,S503,[N|S|E]503 87 GCCTGAGC N704 TGTGCTCT A503 87 CCTCTCCT D503 TATCCTCT E503,S503,[N|S|E]503 87 TAGGCACT Unknown TATCCTCT E503,S503,[N|S|E]503 87 TAGGCGTA Unknown TATCCTCT E503,S503,[N|S|E]503 87 CTCTGAGC Unknown TGTGCTCT A503 87 GGTACTAG N702 TGTGCTGT Unknown 87 GTAGCGCT Unknown TATCCTCT E503,S503,[N|S|E]503 87 AGGCAGAA N703 TATCCCTC Unknown 87 TCAGGAGC Unknown TGTGCTGT Unknown 87 ATCTGGCC Unknown TATCCTCT E503,S503,[N|S|E]503 86 CGTACCAG N702 TATCCTCT E503,S503,[N|S|E]503 86 GAGGAATC Unknown TATCCTCT E503,S503,[N|S|E]503 86 TCATGAGA Unknown TATCCTCT E503,S503,[N|S|E]503 86 TAAGGGGA N701 TATGCTCT E503,S503,[N|S|E]503 86 GCTCTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 86 GTCTCTAC N707 AATCCTCT E503,S503,[N|S|E]503 86 GTAGAGTT Unknown TCTTCTCT A503,E504,[N|S|E]504 86 AGGCAGAG N703 AGAGTAGA E504,[N|S|E]504 86 GCGAGGCT Unknown TATCCTCT E503,S503,[N|S|E]503 86 TAAGCAGG Unknown TATCCTCT E503,S503,[N|S|E]503 86 TTATGCGA S522 TATCCTCT E503,S503,[N|S|E]503 86 TCCTAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 86 GTTGCGGT Unknown TATCCTCT E503,S503,[N|S|E]503 86 AGGCAGCA N703 AGAGCAGA E504,[N|S|E]504 86 TCATGAGC N704 AGTGCTGT Unknown 85 ACGAGGCC Unknown TATCCTCT E503,S503,[N|S|E]503 85 TCTACGTT Unknown TATCCTCT E503,S503,[N|S|E]503 85 GTAGAGAG E502,S502,[N|S|E]502 TATCCTCT E503,S503,[N|S|E]503 85 GCTAGGCT N709 TGTCCTCT A503,E503,S503,[N|S|E]503 85 CCCCTTCC Unknown TATCCTCT E503,S503,[N|S|E]503 85 TATAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 85 GGACTCCT N705 TATCCTCC E503,S503,[N|S|E]503 85 AAGAAGGC Unknown TATCCTCT E503,S503,[N|S|E]503 85 GGTACTAG N702 AGAGTAGA E504,[N|S|E]504 85 TCTAGCCT D501 TATCCTCT E503,S503,[N|S|E]503 85 TACGCATG N706 TATCCTCT E503,S503,[N|S|E]503 84 CTCTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 84 TAGGCATG N706 TAATCCTC Unknown 84 AAAAGAAA Unknown TATCCTCT E503,S503,[N|S|E]503 84 CGTACTAG N702 TATCCCTT Unknown 84 GCTTCGCC Unknown TATCCTCT E503,S503,[N|S|E]503 84 CTGCAGAA Unknown TATCCTCT E503,S503,[N|S|E]503 84 CGTTACTA Unknown AGAGTAGA E504,[N|S|E]504 84 TTCTGAGC N704 TGAGTAGA E504,[N|S|E]504 84 TCCTCTAC Unknown TATCCTCT E503,S503,[N|S|E]503 84 CTCTCTAC N707 TCTCTTCG S511 84 CTCTCTAC N707 TAGGCTCT Unknown 84 GTAGTGGT Unknown TTTCCTCT E503,S503,[N|S|E]503 84 TCCTGAAG Unknown AGAGTAGA E504,[N|S|E]504 83 TCCTGAGC N704 ACAGTAGA E504,[N|S|E]504 83 TTCTGTGC Unknown AGAGTAGA E504,[N|S|E]504 83 TCCTGAGC N704 AAAGTAGA E504,[N|S|E]504 83 TGTACTAG A506,N702 TGAGTAGA E504,[N|S|E]504 83 ATGTGTCA Unknown TATCCTCT E503,S503,[N|S|E]503 83 TAAGGCGA N701 TGGGGCGG Unknown 83 TCCTGAGT N704 TATCCTCT E503,S503,[N|S|E]503 83 TACGGAGC Unknown AGAGTAGA E504,[N|S|E]504 83 ATCTCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 83 TAGGGCCA Unknown TATCCTCT E503,S503,[N|S|E]503 83 AGGCAGAA N703 TATCCTGT E503,S503,[N|S|E]503 83 ATGCAGAA D705,N703 TGTGCTCT A503 83 TTCTGAGC N704 AGTGTTGT Unknown 82 ATGCAGAA D705,N703 AGTGCTGT Unknown 82 GCTAATCT Unknown TATCCTCT E503,S503,[N|S|E]503 82 TAAGGCGA N701 TATTCCTC Unknown 82 GGGCAGAA N703 AGAGTAGA E504,[N|S|E]504 82 TTCTGAGC N704 AGTGTAGT Unknown 82 TAAGGCCA N701 AGTGCTGT Unknown 82 TAAGGCGA N701 TGAGGACA Unknown 82 CTCTTCTT Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 82 TAGGCATG N706 TATCCTGT E503,S503,[N|S|E]503 82 CTCTCTAC N707 TAACCTCT E503,S503,[N|S|E]503 82 TAGAGGCA N711 TGTGCTCT A503 81 GGACTCCT N705 CATCCTCT E503,S503,[N|S|E]503 81 CGTACTAG N702 AGTGTTGA Unknown 81 CTGGCATC Unknown TATCCTCT E503,S503,[N|S|E]503 81 TAAGGCGT N701 AGTGTTGT Unknown 81 CTTCCTCT Unknown TATCCTCT E503,S503,[N|S|E]503 81 AAGATGCA N711 TATCCTCT E503,S503,[N|S|E]503 81 CTCTCTAC N707 TAGGGGCC Unknown 81 GTAGAGGA N712 TCTCTTCG S511 81 AAGAGGCA N711 CTGTCTCT Unknown 81 GGGGAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 81 TCTACGGT Unknown TATCCTCT E503,S503,[N|S|E]503 81 AGCCAGAA N703,S515 AGAGTAGA E504,[N|S|E]504 80 TCTCTTCC Unknown TATCCTCT E503,S503,[N|S|E]503 80 GCAAAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 80 ACGCAGAA N703 AGAGTAGA E504,[N|S|E]504 80 GCCCTACC Unknown TATCCTCT E503,S503,[N|S|E]503 80 GTAGGCGA Unknown TGTCCTCT A503,E503,S503,[N|S|E]503 80 TCCTGAGC N704 CTATCCTC Unknown 80 CGTACCTA Unknown TATCCTCT E503,S503,[N|S|E]503 80 TTAGGCGA N701,S522 AGTGTAGT Unknown 80 TCCTGGGA Unknown TGTGCTGT Unknown 80 CTAGGCGA S513 AGAGTAGA E504,[N|S|E]504 80 GCTAGCCT Unknown TATCCTCT E503,S503,[N|S|E]503 80 TCCTGAGC N704 AGAGTTCG Unknown 80 GAAGAGGA N712 TAGAAGAG Unknown 80 TCGTGAGC N704 TGTGCTGT Unknown 80 GGAGAGGA N712 TGTCCTCT A503,E503,S503,[N|S|E]503 79 CTCTGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 79 GAAGGCGA N701 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 79 AGGGCAGA Unknown AGAGTAGA E504,[N|S|E]504 79 CCTCTTCT Unknown TATCCTCT E503,S503,[N|S|E]503 79 CTTACTAG N702,S518 AGAGTAGA E504,[N|S|E]504 79 TCTACGCT E504,N709,[N|S|E]504 TATGCTCT E503,S503,[N|S|E]503 79 TCGAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 79 AAAGGCCA Unknown TGTGCTGT Unknown 79 GGAGAGGA N712 GATAAGAT Unknown 79 TAGGCATG N706 TATCCCCT E503,S503,[N|S|E]503 79 AGGCAGCA N703 AGTGCTGT Unknown 79 CGTACTGG N702 TATCCTCT E503,S503,[N|S|E]503 79 AGGCAGAA N703 AGAGGTAG Unknown 79 TTCTCATC Unknown TATCCTCT E503,S503,[N|S|E]503 79 TCCTGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 79 CTTACTAG N702,S518 TGTGCTGT Unknown 78 TTAGGCGA N701,S522 AGTGTAGA E504,[N|S|E]504 78 TCTGGCGT Unknown TATCCTCT E503,S503,[N|S|E]503 78 GCTACGCT N709 TAGCCGCT Unknown 78 GTCGGGGC Unknown TATCCTCT E503,S503,[N|S|E]503 78 TCGTGAGC N704 TATCCTCT E503,S503,[N|S|E]503 78 GTAGCTAC N718 TATCCTCT E503,S503,[N|S|E]503 78 CCCACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 78 TCCGTCTC Unknown TATCCTCT E503,S503,[N|S|E]503 78 AAGAGGCA N711 TATTCTTC Unknown 78 AAGGCACG Unknown TATCCTCT E503,S503,[N|S|E]503 78 CGGCCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 78 CGTACTCG N702 AGAGTAGA E504,[N|S|E]504 78 GTGGCATG Unknown TATCCTCT E503,S503,[N|S|E]503 78 GCTCCCCC Unknown TATCCTCT E503,S503,[N|S|E]503 77 TCCTGCGA Unknown TATCCTCT E503,S503,[N|S|E]503 77 CGTACTAG N702 TACCTCTT Unknown 77 AACTGGCC Unknown TATCCTCT E503,S503,[N|S|E]503 77 TTAGGCGA N701,S522 TGTGTAGT Unknown 77 AGGCAGAA N703 AATCCGCT Unknown 77 CTTTCTCC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 77 TGTAGTAG Unknown AGAGTAGA E504,[N|S|E]504 77 CGTACTAG N702 AGAGTTGT Unknown 77 ACGAGGCA N711 TGTGCTGT Unknown 77 AGGGAGGA Unknown AGAGTAGA E504,[N|S|E]504 77 CAGGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 77 GCAGGGGA Unknown TGTCCTCT A503,E503,S503,[N|S|E]503 77 CTCTCTGC N707 TGTCCTCT A503,E503,S503,[N|S|E]503 77 AAGAGGCA N711 CTCTTCGT Unknown 77 CCCTGAGC N704 TGTGCAGT E506,S506,[N|S|E]506 76 TCTACTCT E504,[N|S|E]504 TATCCTCT E503,S503,[N|S|E]503 76 TCAGGAGC Unknown TATCCTCT E503,S503,[N|S|E]503 76 CGTACTAA N702 AGTGCTGT Unknown 76 TAAGGCCT Unknown AGAGTAGA E504,[N|S|E]504 76 TAGGTATG N706 TATCCTCT E503,S503,[N|S|E]503 76 TATGGCTC S521 ATCTTCTC Unknown 76 CCTCCCCT Unknown TATCCTCT E503,S503,[N|S|E]503 76 CGCACTAG N702 AGAGCAGA E504,[N|S|E]504 76 CTGTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 76 ATGTGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 76 AGGCAGAA N703 TACCCTCT E503,S503,[N|S|E]503 75 GCTACGCT N709 CTCCTATG Unknown 75 CCTCTTCC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 75 TGGCAGAA N703 TGTGCTGT Unknown 75 TAATGCGA D708,N701,S522 TGTGCTGT Unknown 75 TAAGGGGA N701 GGAGGAGA Unknown 75 GGCTCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 75 GAGGCATG N706 AATCCTCT E503,S503,[N|S|E]503 75 CGAGGCTG N710 TCCTCTTC Unknown 75 GCAGAGGC Unknown TATCCTCT E503,S503,[N|S|E]503 75 ATAGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 75 AAGGGGCA N711 TGTGCTGT Unknown 74 GCTACATC Unknown TATCCTCT E503,S503,[N|S|E]503 74 GTAGTGGA N712 TTTCCTCT E503,S503,[N|S|E]503 74 TCCTTCTT Unknown TATCCTCT E503,S503,[N|S|E]503 74 CAAGGCGA N701 AGTGCAGT Unknown 74 GTAGAGGA N712 TATCCACT E503,S503,[N|S|E]503 74 CTCTCTAC N707 TAGGCGCT Unknown 74 TAGGCATG N706 GATCCTCT E503,S503,[N|S|E]503 74 AAGGGGGA Unknown TGTGCTGT Unknown 74 AGGCAGAA N703 TATTCTCT A503,E503,S503,[N|S|E]503 74 TCCTGCCC Unknown TATCCTCT E503,S503,[N|S|E]503 74 TGAGGCGG Unknown AGAGTAGA E504,[N|S|E]504 74 TTAGTGGT Unknown TTTCCTCT E503,S503,[N|S|E]503 74 CGTACTAG N702 AGGAGTAG A712 73 ACGCGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 73 GCTCTATC Unknown TATCCTCT E503,S503,[N|S|E]503 73 TAAAGCGG Unknown AGAGTAGA E504,[N|S|E]504 73 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 73 AGGGAGAA N703 AGAGGAGA E503,E504,S503,[N|S|E]503,[N|S|E]504 73 GTAACGGT Unknown TATCCTCT E503,S503,[N|S|E]503 73 TTAGCCGA Unknown TATCCTCT E503,S503,[N|S|E]503 73 TTCGGCGC Unknown TGTGCTGT Unknown 73 AGGCAGAA N703 TATCCCCT E503,S503,[N|S|E]503 73 CGAGGCTG N710 AATCCTCT E503,S503,[N|S|E]503 73 GCTACGTG Unknown TATCCTCT E503,S503,[N|S|E]503 73 TAAGGCGA N701 CCTCTTCG Unknown 73 TGAGAGGA Unknown TATCCTCT E503,S503,[N|S|E]503 73 CGTACTAG N702 AGGGTAGA E504,[N|S|E]504 73 AAAGGGCA Unknown TGTGCTGT Unknown 73 CAAGGCGA N701 AGTGCTGT Unknown 72 CGGCAGAA N703 TGTGCTGT Unknown 72 GTCTCTAC N707 GATCCTCT E503,S503,[N|S|E]503 72 CGTGCTAG N702 TATCCTCT E503,S503,[N|S|E]503 72 AGGCAGAA N703 TAATCCTC Unknown 72 GCCTGGGC Unknown TGTGCTGT Unknown 72 TCCTGAGC N704 CGCGTAGC Unknown 72 TAAGGCTA N701,S521 AGAGTAGA E504,[N|S|E]504 72 TAGGCATG N706 TATCCGCT E503,S503,[N|S|E]503 72 GAAGGGGA Unknown AGTGCTGT Unknown 72 AAGCGGCA N711 TGTGCTGT Unknown 71 TCTAGCGT Unknown TATCCTCT E503,S503,[N|S|E]503 71 TAAAGGGG Unknown AGAGTAGA E504,[N|S|E]504 71 CGTACTAG N702 TTTCCTCT E503,S503,[N|S|E]503 71 TAAGGGGA N701 TGTGCAGT E506,S506,[N|S|E]506 71 CTCTCTCC N707 TCTGCTCT E504,[N|S|E]504 71 AGGCAGAA N703 AGGGTAGA E504,[N|S|E]504 71 GCTAACGC Unknown TATCCTCT E503,S503,[N|S|E]503 71 CGTACTAG N702 GGAGTAGA E504,[N|S|E]504 71 TAGCGAAT Unknown AGAGTAGA E504,[N|S|E]504 71 TCTTGAGT Unknown AGAGTAGA E504,[N|S|E]504 71 AAGCAGAA N703 TATCCTCT E503,S503,[N|S|E]503 71 TCCTGAGC N704 AGAGCAGG Unknown 71 TAAGGCGT N701 TGTGTTGT Unknown 71 CGTAGTAG N702 TGTGCTGT Unknown 71 CTCTCTAC N707 TGTGTTGT Unknown 70 TCTTGAGT Unknown TGTGCTGT Unknown 70 CGTCTAGA Unknown TATCCTCT E503,S503,[N|S|E]503 70 CGAGGTTG N710 TATCCTCT E503,S503,[N|S|E]503 70 AGGAAGAA N703 TAGAAGAG Unknown 70 TAAGGCGC D708,N701,S521 AGAGCAGA E504,[N|S|E]504 70 TACTCATC Unknown TATCCTCT E503,S503,[N|S|E]503 70 TAAGTCGA N701 TATCCTCT E503,S503,[N|S|E]503 70 GTTTCGCT Unknown TATCCTCT E503,S503,[N|S|E]503 70 TCCCTCCC Unknown TATCCTCT E503,S503,[N|S|E]503 70 CGTACTAG N702 AGTAGATC Unknown 70 AGGCGGAA N703 AGTGCTGT Unknown 70 GAGGCATA Unknown TATCCTCT E503,S503,[N|S|E]503 70 TAAGGCGA N701 AGGGGCGG Unknown 70 ATGACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 70 GCCTTACC Unknown TATCCTCT E503,S503,[N|S|E]503 70 GCACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 69 CGTACTAG N702 TATCCTTT E503,S503,[N|S|E]503 69 GCCCCACC Unknown TATCCTCT E503,S503,[N|S|E]503 69 TAGTGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 69 GAAGGCGA N701 AATCCTCT E503,S503,[N|S|E]503 69 AGGCGGAA N703 TGTGCTCT A503 69 AGGCAGAA N703 AGAGTAAA E504,[N|S|E]504 69 GTCGGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 69 TCCTGAGA D702,N704 AGTGCAGT Unknown 69 TGGCAGAA N703 TGTGTAGT Unknown 69 CGATGCTG N710 TATCCTCT E503,S503,[N|S|E]503 69 CTCTCTAC N707 TAGAGGCC Unknown 69 CTATATGA Unknown TATCCTCT E503,S503,[N|S|E]503 69 AAGAGGCA N711 TGTGTTGT Unknown 69 TAGAGGCA N711 TATGCTCT E503,S503,[N|S|E]503 69 ACCTGAGC N704 TGTGCTGT Unknown 68 ATGAGGCC Unknown TATCCTCT E503,S503,[N|S|E]503 68 GCTACGAG Unknown TATCCTCT E503,S503,[N|S|E]503 68 GCCACCCC Unknown TATCCTCT E503,S503,[N|S|E]503 68 TGGCAGGA Unknown AGAGTAGA E504,[N|S|E]504 68 TTCTGTGC Unknown TGTGTTGT Unknown 68 CTCTGAGC Unknown TGTGCAGT E506,S506,[N|S|E]506 68 TAAGGCGA N701 TAGAGAGC Unknown 68 GTAGTCGA S513 TATCCTCT E503,S503,[N|S|E]503 68 CGTACAGA Unknown TATCCTCT E503,S503,[N|S|E]503 68 TTCGGCGA Unknown TATCCTCT E503,S503,[N|S|E]503 68 TCAGGCGT Unknown TATCCTCT E503,S503,[N|S|E]503 68 GGTGGGGG Unknown TATCCTCT E503,S503,[N|S|E]503 68 AGGCAGAA N703 AGAGTCGA E504,[N|S|E]504 68 ATGCAGAA D705,N703 AGAGCAGA E504,[N|S|E]504 68 GCTACGCT N709 TAGCGTCT Unknown 68 AGGCAGAA N703 CAGAGTAG Unknown 68 GGACAGAA Unknown TATCCTCT E503,S503,[N|S|E]503 67 TTTTCTTT Unknown TTTCCTCT E503,S503,[N|S|E]503 67 AGGCGGAA N703 AGAGCAGA E504,[N|S|E]504 67 TCCTGACC N704 AGTGCTGT Unknown 67 CGTACTTA Unknown AGAGTAGA E504,[N|S|E]504 67 TAGGCATG N706 TATCGTCT E503,S503,[N|S|E]503 67 CGAGGCTT N710 TTTCCTCT E503,S503,[N|S|E]503 67 TGGCGAAT Unknown AGAGTAGA E504,[N|S|E]504 67 TAAGCATA Unknown TATCCTCT E503,S503,[N|S|E]503 67 CGTACAAG N702 AGAGTAGA E504,[N|S|E]504 67 CGAGGCTG N710 GATCCTCT E503,S503,[N|S|E]503 66 GGACCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 66 CTAAGGCT S508,[N|S|E]508 AGAGTAGA E504,[N|S|E]504 66 AGGCAGAA N703 AGTGTTGA Unknown 66 AAAGGCCA Unknown TATCCTCT E503,S503,[N|S|E]503 66 AGGCAGAA N703 TAGCCTCT E503,S503,[N|S|E]503 66 CTCTGCTC Unknown TATCCTCT E503,S503,[N|S|E]503 66 GGAGGGTG Unknown TATCCTCT E503,S503,[N|S|E]503 66 GTCGATTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 66 TAGGCCTT Unknown TATCCTCT E503,S503,[N|S|E]503 66 GTAGAGGT N712 TTTCCTCT E503,S503,[N|S|E]503 66 TCCTAAGC N704 TATCCTCT E503,S503,[N|S|E]503 66 CAAGGCGA N701 AGAGCAGT Unknown 66 AAAAGCCA Unknown TATCCTCT E503,S503,[N|S|E]503 66 ACGACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 66 AGGCGGGA Unknown TGTGCTGT Unknown 66 GAAGGCGA N701 TGTGTTGT Unknown 66 TCCTGAGC N704 TATCCGCT E503,S503,[N|S|E]503 65 GCTGGGGT Unknown TATCCTCT E503,S503,[N|S|E]503 65 GCATGAGC Unknown TGTGCTGT Unknown 65 GTTACGAC Unknown TATCCTCT E503,S503,[N|S|E]503 65 AAGAGGCA N711 TCTCTTCG S511 65 CGTACTAT N702 TGAGTAGA E504,[N|S|E]504 65 TCCTGAGC N704 AGAGAAGA A503,E504,[N|S|E]504 65 TTCTGCGC Unknown TGTGCTGT Unknown 65 TACGGCGA N701 TGTGCTGT Unknown 65 ACGCTATC Unknown TATCCTCT E503,S503,[N|S|E]503 65 GGACTCCG N705 TATCCTCT E503,S503,[N|S|E]503 65 TAGGGACG Unknown TATCCTCT E503,S503,[N|S|E]503 65 TAAGTCGA N701 AGAGTAGA E504,[N|S|E]504 65 TCCTGTGC N704 TATCCTCT E503,S503,[N|S|E]503 64 GGACTCCT N705 TATCCTTC Unknown 64 GCAAAGCA Unknown TATCCTCT E503,S503,[N|S|E]503 64 TTCGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 64 CTCGGCAC Unknown TATCCTCT E503,S503,[N|S|E]503 64 AGGCGGAA N703 TGTCCTCT A503,E503,S503,[N|S|E]503 64 GTCTAGTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 64 ATCTCGTA Unknown TATCCTCT E503,S503,[N|S|E]503 64 CCTCTACC Unknown TATCCTCT E503,S503,[N|S|E]503 64 TAGGGAGG Unknown TGTGCTGT Unknown 64 CAGAGTCA Unknown TATCCTCT E503,S503,[N|S|E]503 64 AGGCAGAA N703 AGAGGATC E503,S503,[N|S|E]503 64 GCCTCGGC Unknown TATCCTCT E503,S503,[N|S|E]503 64 AGGCAGAA N703 AGAGATCG Unknown 64 TTCTGTGC Unknown TGTGCTCT A503 63 TACTGCGA Unknown TATCCTCT E503,S503,[N|S|E]503 63 TACGGCTC S521 ATCTTCTC Unknown 63 TCTAGGCT Unknown TGTGCTGT Unknown 63 GTGGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 63 CGTACTAT N702 AGTGCTGT Unknown 63 CGTACTAG N702 TTCCTCTT Unknown 63 AAGAGGCA N711 AAACCGCC Unknown 63 GGAGGCTA Unknown TATCCTCT E503,S503,[N|S|E]503 63 TAGGCATG N706 TAGAGGCC Unknown 63 CCCTCCTC Unknown TATCCTCT E503,S503,[N|S|E]503 63 GTGCAGAA Unknown TATCCTCT E503,S503,[N|S|E]503 63 GTCGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 63 TCCTGAGG N704 TGTGCTGT Unknown 63 AAGGGACA Unknown TATCCTCT E503,S503,[N|S|E]503 63 TTCTGAGC N704 AGTGCTGA Unknown 63 TACTGCGC D708 TGTGCTGT Unknown 63 TCTTCGCT Unknown TTTCCTCT E503,S503,[N|S|E]503 63 GGATTCCT N705 TATCCTCT E503,S503,[N|S|E]503 63 GTCCTCCT Unknown TATCCTCT E503,S503,[N|S|E]503 63 CGTACTGA Unknown TATCCTCT E503,S503,[N|S|E]503 63 CCCTGAGC N704 AGTGCTGT Unknown 63 AAGGGCCA Unknown TATCCTCT E503,S503,[N|S|E]503 63 TTCCTGAG Unknown TATCCTCT E503,S503,[N|S|E]503 63 AGACAGGA Unknown AGAGTAGA E504,[N|S|E]504 63 GAAGAAGA Unknown TATCCTCT E503,S503,[N|S|E]503 63 GGACAGGA Unknown TGTGCTGT Unknown 62 GCTACGCT N709 TATTCTTC Unknown 62 GCTACGCT N709 TAGCGGCT Unknown 62 TAAGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 62 AGGCGAAT D505 TATCCTCT E503,S503,[N|S|E]503 62 GTAGAGTC Unknown TCTGCTCT E504,[N|S|E]504 62 GCTGCGCA Unknown TATCCTCT E503,S503,[N|S|E]503 62 TCTACGCC Unknown TATCCTCT E503,S503,[N|S|E]503 62 TTCTCCGC Unknown TATCCTCT E503,S503,[N|S|E]503 62 CTCTCTAC N707 TATCCACT E503,S503,[N|S|E]503 62 ATCCAGAA D705 TATCCTCT E503,S503,[N|S|E]503 62 TCATGCGC D708 TATCCTCT E503,S503,[N|S|E]503 62 GGATCCTA Unknown TATCCTCT E503,S503,[N|S|E]503 62 GTCTCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 62 TCTCTCCT S511 TATCCTCT E503,S503,[N|S|E]503 62 TAGGGACA Unknown TATCCTCT E503,S503,[N|S|E]503 62 TTTTTTTT Unknown TATCCTCT E503,S503,[N|S|E]503 62 TAGGAAGG Unknown TAGAAGAG Unknown 62 TCCAGAGC N704 TATCCTCT E503,S503,[N|S|E]503 62 GCCATCCC Unknown TATCCTCT E503,S503,[N|S|E]503 61 GTAGAGGA N712 TATCATCT E503,S503,[N|S|E]503 61 TAGGGATT Unknown TATCCTCT E503,S503,[N|S|E]503 61 CAAGGCGA N701 TGAGTAGA E504,[N|S|E]504 61 GTATCGAC Unknown TATCCTCT E503,S503,[N|S|E]503 61 GTATCTAA Unknown TATCCTCT E503,S503,[N|S|E]503 61 GGTGAGGG Unknown TATCCTCT E503,S503,[N|S|E]503 61 GAAGGCGA N701 AGTGCAGT Unknown 61 CCTCTTCC Unknown AGAGTAGA E504,[N|S|E]504 61 CGAGGCTG N710 TACCCTCT E503,S503,[N|S|E]503 61 TCCTGTGC N704 AGAGTAGA E504,[N|S|E]504 61 AGGCAGAA N703 AGAGTACA A503,E504,[N|S|E]504 61 CAGAGAGT N708 CTCTCTAT E502,S502,[N|S|E]502 61 CTCAGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 61 TTAGGCGA N701,S522 AGAGCTGT Unknown 61 TTCTCCTC Unknown TATCCTCT E503,S503,[N|S|E]503 60 TCCTTCGC Unknown AGAGTAGA E504,[N|S|E]504 60 TAAGCCGA N701 TGTGCTCT A503 60 GTCTATTC Unknown TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 60 CTAGCGAA Unknown TATCCTCT E503,S503,[N|S|E]503 60 CGTAGCAG Unknown AGAGTAGA E504,[N|S|E]504 60 GTAGAGGA N712 TATCCTAT E503,S503,[N|S|E]503 60 TAAGGCGA N701 TTATCCTC Unknown 60 TCCTGAGC N704 TAGAGGCC Unknown 60 TGTAGCAG Unknown AGAGTAGA E504,[N|S|E]504 60 TAAGGGCA Unknown TATCCTCT E503,S503,[N|S|E]503 60 CGCTCTAG Unknown AGAGTAGA E504,[N|S|E]504 60 TGGCGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 60 AGGCAGCA N703 AGAGCAGT Unknown 60 AGGCCGCA Unknown TATCCTCT E503,S503,[N|S|E]503 60 TAAGGAGA N701 AGAGAAGA A503,E504,[N|S|E]504 60 TCCTGGGC N704 TGTGCTCT A503 60 TAAGGCGA N701 TACTCTTC Unknown 60 CCCCTCTT Unknown TATCCTCT E503,S503,[N|S|E]503 60 GTCTCTTC Unknown TATCCTCT E503,S503,[N|S|E]503 60 TCATGAGC N704 AGAGCAGA E504,[N|S|E]504 60 GAGGCATG N706 GATCCTCT E503,S503,[N|S|E]503 60 CATACTAG N702 AGAGTAGA E504,[N|S|E]504 60 CGTACTCT Unknown TATCCTCT E503,S503,[N|S|E]503 60 CGTACTCG N702 TGTGCTGT Unknown 60 GTAGAGGA N712 TATCTCCT Unknown 60 GGACCTCC Unknown TATCCTCT E503,S503,[N|S|E]503 60 AGACTCCT N705 TATCCTCT E503,S503,[N|S|E]503 60 GAGGCGTG Unknown TATCCTCT E503,S503,[N|S|E]503 59 GTCTCTAA Unknown TATCCTCT E503,S503,[N|S|E]503 59 TCCTGAGA D702,N704 TGTGCTCT A503 59 CGCACTAC Unknown TGTGCTGT Unknown 59 TAAGGCTT S521 TATCCTCT E503,S503,[N|S|E]503 59 GTACAGAA Unknown TATCCTCT E503,S503,[N|S|E]503 59 CTCACGCT Unknown TATCCTCT E503,S503,[N|S|E]503 59 TCCTGAGC N704 TAATCCTC Unknown 59 TACGGAGA D702 AGAGTAGA E504,[N|S|E]504 59 TCTTCGCT Unknown TATCCTCT E503,S503,[N|S|E]503 59 TTAGCTGA Unknown TATCCTCT E503,S503,[N|S|E]503 59 TAAGCCGA N701 AGAGTAGA E504,[N|S|E]504 59 GCAGGGGA Unknown TATGCTCT E503,S503,[N|S|E]503 59 GTCTGAGC Unknown TGTGCTCT A503 59 TCAGGCGA N701 TGTGCTCT A503 59 TCTACACT E504,[N|S|E]504 TATCCTCT E503,S503,[N|S|E]503 59 GGTACTAG N702 TATCCTCT E503,S503,[N|S|E]503 59 TTCTGAGC N704 AGAGCTGT Unknown 59 CCCTCGCC Unknown TATCCTCT E503,S503,[N|S|E]503 59 TTAGGCGA N701,S522 TTTCCTCT E503,S503,[N|S|E]503 59 CTCTGAGC Unknown AGTGCAGT Unknown 59 TCCTTCTC Unknown ATCTTATC Unknown 59 GCTACGCT N709 TAACCTCT E503,S503,[N|S|E]503 59 GAGGCGGA Unknown TATCCTCT E503,S503,[N|S|E]503 59 GCTACGAC Unknown TATCCTCT E503,S503,[N|S|E]503 59 TACGCATC Unknown TATCCTCT E503,S503,[N|S|E]503 59 TCCTGAGC N704 TCCTCTTC Unknown 59 GCTATCCT D503 TATCCTCT E503,S503,[N|S|E]503 59 TCCTCACC Unknown TATCCTCT E503,S503,[N|S|E]503 59 TAGGCATG N706 TATTCCTC Unknown 59 GGCTACGC Unknown TATCCTCT E503,S503,[N|S|E]503 59 CGCCCTAC Unknown TATCCTCT E503,S503,[N|S|E]503 59 TCCCTGAT Unknown AGAGTAGA E504,[N|S|E]504 59 TCTACGCA Unknown TATCCTCT E503,S503,[N|S|E]503 59 TCATGGGA Unknown TGTGCTGT Unknown 58 TAAGGCGA N701 AGGGCAGA Unknown 58 GCTACGCT N709 CTCTTCGT Unknown 58 TGGCGGGA Unknown TATCCTCT E503,S503,[N|S|E]503 58 TAAGGCGA N701 TATCCTCG E503,S503,[N|S|E]503 58 CTCCCGAC Unknown TATCCTCT E503,S503,[N|S|E]503 58 GGGGGGAA Unknown TATCCTCT E503,S503,[N|S|E]503 58 GAGGCAGG Unknown TATCCTCT E503,S503,[N|S|E]503 58 TCTCTCCC S511 TATCCTCT E503,S503,[N|S|E]503 58 CGCTCTAC N707 TGTGCTGT Unknown 58 CTCGCCAC Unknown TATCCTCT E503,S503,[N|S|E]503 58 TAGAGGCA N711 TGTCCTCT A503,E503,S503,[N|S|E]503 58 GTCACTCC Unknown TATCCTCT E503,S503,[N|S|E]503 58 CTCTCTAC N707 TATCTCCT Unknown 58 TAAGGCGA N701 AGAGCAGG Unknown 58 TACGGCGC Unknown TGTGCTGT Unknown 58 TAGGGGGA Unknown TGTGCTGT Unknown 58 GTAGCGTG Unknown TATCCTCT E503,S503,[N|S|E]503 58 CGTACTAT N702 AGTGTAGA E504,[N|S|E]504 58 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/one_correction/expected.txt ================================================ sample_name expected_barcode_1 expected_barcode_2 expected_barcode_1_name expected_barcode_2_name expected_barcodes_read_count guessed_barcode_1 guessed_barcode_2 guessed_barcode_1_name guessed_barcode_2_name guessed_barcodes_read_count match_type G5767.1_171025 CAGAGAGG TATCCTCT BI7A06,N708 BI5G02,E503,S503,[N|S|E]503 69 TAGGCATT TATCCTCT N706 E503,S503,[N|S|E]503 41442 one_barcode_match ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/one_correction/metrics.txt ================================================ ## htsjdk.samtools.metrics.StringHeader # ExtractIlluminaBarcodes BASECALLS_DIR=/tmp/tmp.MFbcoiGo6L/Data/Intensities/BaseCalls OUTPUT_DIR=/tmp/tmp-illumina-illumina_demux-6rg4yi1t/extracted_barcodes-bdo5m9xj LANE=1 READ_STRUCTURE=101T8B8B101T BARCODE_FILE=/tmp/tmp-illumina-illumina_demux-6rg4yi1t/barcodeData.AYAC2.1po0amae6.txt METRICS_FILE=metrics.txt MAX_MISMATCHES=1 MINIMUM_BASE_QUALITY=10 MINIMUM_QUALITY=10 NUM_PROCESSORS=0 MIN_MISMATCH_DELTA=1 MAX_NO_CALLS=2 COMPRESS_OUTPUTS=false VERBOSITY=INFO QUIET=false VALIDATION_STRINGENCY=STRICT COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json USE_JDK_DEFLATER=false USE_JDK_INFLATER=false ## htsjdk.samtools.metrics.StringHeader # Started on: Wed Sep 05 21:57:07 UTC 2018 ## METRICS CLASS picard.illumina.ExtractIlluminaBarcodes$BarcodeMetric BARCODE BARCODE_WITHOUT_DELIMITER BARCODE_NAME LIBRARY_NAME READS PF_READS PERFECT_MATCHES PF_PERFECT_MATCHES ONE_MISMATCH_MATCHES PF_ONE_MISMATCH_MATCHES PCT_MATCHES RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_PCT_MATCHES PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_NORMALIZED_MATCHES TAAGGCGA-TATCCTCT TAAGGCGATATCCTCT G4220.1_171025 G4220.1_171025 865707 803364 849939 796393 15768 6971 0.046287 0.280799 0.046622 0.287287 0.766694 CGTACTAG-TATCCTCT CGTACTAGTATCCTCT G4324.1_171025 G4324.1_171025 134239 126862 123272 117996 10967 8866 0.007177 0.043542 0.007362 0.045366 0.121071 AGGCAGAA-TATCCTCT AGGCAGAATATCCTCT G4468.2_171025 G4468.2_171025 569363 538190 556637 531720 12726 6470 0.030442 0.184678 0.031233 0.192459 0.513624 TCCTGAGC-TATCCTCT TCCTGAGCTATCCTCT G5135.1_171025 G5135.1_171025 363423 339128 355304 334983 8119 4145 0.019431 0.117879 0.019681 0.121274 0.323648 GGACTCCT-TATCCTCT GGACTCCTTATCCTCT G5395.1_171025 G5395.1_171025 236368 220798 231310 218284 5058 2514 0.012638 0.076668 0.012814 0.078958 0.21072 TAGGCATG-TATCCTCT TAGGCATGTATCCTCT G5413.1_171025 G5413.1_171025 768484 721458 712147 675201 56337 46257 0.041088 0.249264 0.041869 0.257997 0.688527 CTCTCTAC-TATCCTCT CTCTCTACTATCCTCT G5754.1_171025 G5754.1_171025 2866604 2692792 2816035 2663917 50569 28875 0.153268 0.929807 0.156272 0.962955 2.569879 CAGAGAGG-TATCCTCT CAGAGAGGTATCCTCT G5767.1_171025 G5767.1_171025 69 66 4 3 65 63 0.000004 0.000022 0.000004 0.000024 0.000063 GCTACGCT-TATCCTCT GCTACGCTTATCCTCT G5787.1_171025 G5787.1_171025 1571414 1502484 1533037 1479389 38377 23095 0.084019 0.509701 0.087195 0.537295 1.433903 CGAGGCTG-TATCCTCT CGAGGCTGTATCCTCT G3773.1_171025 G3773.1_171025 425490 400469 390503 371648 34987 28821 0.02275 0.138011 0.023241 0.14321 0.382189 AAGAGGCA-TATCCTCT AAGAGGCATATCCTCT G4121.1_171025 G4121.1_171025 2156674 2003380 2123013 1986343 33661 17037 0.115311 0.699535 0.116263 0.716418 1.911935 GTAGAGGA-TATCCTCT GTAGAGGATATCCTCT G4441.1_171025 G4441.1_171025 3083011 2796383 3025191 2770962 57820 25421 0.164839 1 0.162284 1 2.668741 TAAGGCGA-AGAGTAGA TAAGGCGAAGAGTAGA G4494.1_171025 G4494.1_171025 2643139 2507469 2545155 2434742 97984 72727 0.14132 0.857324 0.145517 0.896683 2.393015 CGTACTAG-AGAGTAGA CGTACTAGAGAGTAGA G4489.1_171025 G4489.1_171025 353013 339894 321177 312249 31836 27645 0.018875 0.114503 0.019725 0.121548 0.324379 AGGCAGAA-AGAGTAGA AGGCAGAAAGAGTAGA Water_2_171025 Water_2_171025 440262 424432 420657 409246 19605 15186 0.023539 0.142803 0.024631 0.151779 0.405059 TCCTGAGC-AGAGTAGA TCCTGAGCAGAGTAGA K562_2_171025 K562_2_171025 1418503 1348085 1366847 1310862 51656 37223 0.075843 0.460103 0.078234 0.482082 1.286551 NNNNNNNN-NNNNNNNN NNNNNNNNNNNNNNNN 807391 466153 0 0 0 0 0.043169 0.261884 0.027053 0.166699 0 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/single_index/barcodes.txt ================================================ Barcode1 Likely_Index_Names1 Barcode2 Likely_Index_Names2 Count CAGAGAGG N708 Unknown 2236892 GGACTCCT N705 Unknown 1481969 TAGGCATG N706 Unknown 1388954 CAGGCGAT Unknown Unknown 1375668 GCTACGCT N709 Unknown 1370424 CTCTCTAC N707 Unknown 1181498 GTAGAGGA N712 Unknown 1144504 CGAGGCTG N710 Unknown 1078586 AAGAGGCA N711 Unknown 910195 TACAGCAT Unknown Unknown 670800 CATTTTAT Unknown Unknown 627525 TCATTCAT Unknown Unknown 624071 ACTGATAT Unknown Unknown 613337 ATTCCTAT Unknown Unknown 578494 CGGAATAT Unknown Unknown 564153 GACGACAT Unknown Unknown 555371 TATAATAT Unknown Unknown 545928 CATGGCAT Unknown Unknown 455796 ATGAGCAT Unknown Unknown 449580 CCAACAAT Unknown Unknown 446825 TAATCGAT Unknown Unknown 409191 CAACTAAT Unknown Unknown 402513 TCCCGAAT Unknown Unknown 340067 CAAAAGAT Unknown Unknown 305712 CTAGCTAT Unknown Unknown 298921 CACCGGAT Unknown Unknown 217902 GAAGAGGA N712 Unknown 8740 AGAGAGGA Unknown Unknown 8486 GCTACGAT N709 Unknown 6491 GGACTCAT N705 Unknown 5693 AAGAGAGG N708 Unknown 5249 CAGGCATG N706 Unknown 5051 CAGGGAGG N708 Unknown 4417 CAGAGAGA N708,S511 Unknown 4238 CAGAGAGT N708 Unknown 4217 GTAGAGGT N712 Unknown 4012 TAATTCAT Unknown Unknown 4012 GATACGCT N709 Unknown 3956 CTTCCTAT Unknown Unknown 3741 GGAGAGGA N712 Unknown 3650 CTCTCTAA E502,N707,S502,[N|S|E]502 Unknown 3421 CAGGCGAG Unknown Unknown 3409 AAGAGGAA N711 Unknown 3380 CAGACGAT Unknown Unknown 3260 GTAGAGAA N712 Unknown 3247 CAGAGAAG N708 Unknown 3185 ACTGATCT Unknown Unknown 3119 CATTTATC Unknown Unknown 3101 TATAATCT Unknown Unknown 2948 GCAACGCT N709 Unknown 2912 CGAGGCTA N710 Unknown 2893 TAGAGAGG N708 Unknown 2785 CAGAGCGG N708 Unknown 2785 GGACTCTA Unknown Unknown 2749 CAGAGGGG N708 Unknown 2693 TAGGCAAG N706 Unknown 2675 CAAGAGGA Unknown Unknown 2615 ATCTCTAC N707 Unknown 2608 CGAGGCTT N710 Unknown 2566 AAGGCGAT S520 Unknown 2561 CTACGCTA Unknown Unknown 2553 TAGGCATT N706 Unknown 2541 GGACTACT N705 Unknown 2499 CCAACATC Unknown Unknown 2479 GGAATCCT N705 Unknown 2477 CAGGAGAT Unknown Unknown 2476 TATAAATC Unknown Unknown 2454 GAGAGAGG N708 Unknown 2441 CAAGCGAT Unknown Unknown 2437 TATATATC Unknown Unknown 2436 CTCTCTAT E502,S502,[N|S|E]502 Unknown 2419 CAGGCGCT Unknown Unknown 2404 ATTTTATC Unknown Unknown 2402 GCACGCTA Unknown Unknown 2320 CAGAGGCA N711 Unknown 2304 CAAAGATC Unknown Unknown 2268 GCTACCTA Unknown Unknown 2250 CAGAGGGA Unknown Unknown 2217 TAGGCGAT Unknown Unknown 2190 CGAGGCAG N710 Unknown 2168 TCATCATC Unknown Unknown 2148 GAGGCTGA Unknown Unknown 2128 GAGGCATG N706 Unknown 2123 CTCTCACA Unknown Unknown 2080 GGGCTCCT N705 Unknown 2028 GCTCGCTA N716 Unknown 2027 CGGAATCT Unknown Unknown 2024 CTATCTAC N707 Unknown 2014 TAGCATGA Unknown Unknown 2003 GCTAGCTA Unknown Unknown 1985 TAAATATC Unknown Unknown 1983 GCTACGTA Unknown Unknown 1964 CCTCTCTT Unknown Unknown 1964 AGAGGCTG N710 Unknown 1937 CAGGCGAA Unknown Unknown 1922 CAGAGGAT Unknown Unknown 1888 CTCTCTCC N707 Unknown 1872 TCCCGATC Unknown Unknown 1863 CAGCGAGG N708 Unknown 1857 CAGAGAAT Unknown Unknown 1837 CAGAAGGA Unknown Unknown 1786 TAGGAATG N706 Unknown 1757 AATGATAT Unknown Unknown 1745 CGAGGATG N710 Unknown 1740 CTCCTACA Unknown Unknown 1725 CAACAATC Unknown Unknown 1723 GCAGAGGA N712 Unknown 1702 TAAGCATG N706 Unknown 1689 TTCTCTAC N707 Unknown 1664 GCGACGCT N709 Unknown 1664 GTACGCTA Unknown Unknown 1663 GTAGAGGC D502,N712 Unknown 1646 CAGGCAAT Unknown Unknown 1641 CAGGGGAT Unknown Unknown 1625 AAGAGGCT N711 Unknown 1612 CAAACAAT Unknown Unknown 1596 AGGCGATC Unknown Unknown 1596 CAGGCATC Unknown Unknown 1590 CCTGATAT Unknown Unknown 1582 TAGACATG N706 Unknown 1572 GCTAAGCT N709 Unknown 1567 GAACTCCT N705 Unknown 1567 CAACTATC Unknown Unknown 1565 CGAGGCGA Unknown Unknown 1553 AGGCATGA Unknown Unknown 1526 CCTTCTCT Unknown Unknown 1522 CGAGCTGA Unknown Unknown 1519 CATGCGAT Unknown Unknown 1508 TGACTCCT N705 Unknown 1498 CAGGAGGA Unknown Unknown 1498 GTCTCTAC N707 Unknown 1487 TACAGCAG Unknown Unknown 1474 CTCTTACA Unknown Unknown 1469 AAGGCATG N706 Unknown 1463 GTAGCGGA N712 Unknown 1442 CGAGAGGA Unknown Unknown 1433 GAGGCGAT Unknown Unknown 1421 TCTCTACA Unknown Unknown 1413 CCTACGCT N709 Unknown 1402 TACAGAAT Unknown Unknown 1395 CATAATAT Unknown Unknown 1373 TCTACGCT E504,N709,[N|S|E]504 Unknown 1364 CGACTCCT N705 Unknown 1364 ATGGCATC Unknown Unknown 1352 TCTCCTCT E503,E504,S503,[N|S|E]503,[N|S|E]504 Unknown 1346 GGAGGCTG N710 Unknown 1335 CTGAGCAT Unknown Unknown 1325 CTCTCTCA Unknown Unknown 1312 CAAAGAGG N708 Unknown 1302 GGTCTCCT N705 Unknown 1292 GGCTCCTA Unknown Unknown 1285 CGGGATAT Unknown Unknown 1284 GTACTCCT N705 Unknown 1278 CTCACTAC N707 Unknown 1278 CAGCGATC Unknown Unknown 1275 TAGGCATA N706 Unknown 1273 TAAGCATC Unknown Unknown 1272 CGGAGAGG N708,S511 Unknown 1266 AGGAATAT Unknown Unknown 1261 TAGGCGTG N706 Unknown 1259 CAAGGCAT Unknown Unknown 1257 ACTGAATC Unknown Unknown 1250 CAGGCTAT S520 Unknown 1241 CAGGCAAG Unknown Unknown 1241 CAGACAGG N708 Unknown 1234 GGACCCTA Unknown Unknown 1234 TACCGAAT Unknown Unknown 1233 AATTTTAT Unknown Unknown 1232 TCTTCCTT Unknown Unknown 1225 CACTCTAC N707 Unknown 1223 CGGAAATC Unknown Unknown 1222 CACAGCAT Unknown Unknown 1220 AAAAGGCA N711 Unknown 1214 ACTGCTAT Unknown Unknown 1209 CATAGCAT Unknown Unknown 1205 ACTGAGAT Unknown Unknown 1203 CTTCTACA Unknown Unknown 1200 GAAGACAT Unknown Unknown 1199 GGACTGCT N705 Unknown 1198 GACTCCTA Unknown Unknown 1197 TAAAGCAT Unknown Unknown 1196 TAGGGATG N706 Unknown 1187 CCAAAATC Unknown Unknown 1168 TGAGGCTG N710 Unknown 1160 GGACTCCA N705 Unknown 1148 ATTACTAT Unknown Unknown 1147 CGGATATC Unknown Unknown 1135 GGATCCTA Unknown Unknown 1133 GTAGAGGG N712 Unknown 1123 GCTACACT N709 Unknown 1122 AGAGGCAA Unknown Unknown 1122 TAGGCAGA Unknown Unknown 1120 CAGTCGAT Unknown Unknown 1120 CGAGGGTG N710 Unknown 1119 AAGAGGCC N711 Unknown 1109 ATTCATAT Unknown Unknown 1101 GGACCCCT N705 Unknown 1100 TCCCGCAT Unknown Unknown 1095 CATTCTAT Unknown Unknown 1092 AAGACGCA N711 Unknown 1086 CAGAATAT Unknown Unknown 1070 AAGAGCAA Unknown Unknown 1068 AAGAGACA N711 Unknown 1065 GTAAGGAA E505,S505,[N|S|E]505 Unknown 1062 CCACAATC Unknown Unknown 1061 CAGGGCAT Unknown Unknown 1057 TACAGCAA Unknown Unknown 1052 CAGGTGAT Unknown Unknown 1037 TCCCTCCT Unknown Unknown 1034 TACACATC Unknown Unknown 1033 ACTGACAT Unknown Unknown 1032 TAGAGGAA Unknown Unknown 1030 CTCGCTAC N707 Unknown 1029 GCTACTCT E504,N709,[N|S|E]504 Unknown 1027 GGAGTCCT N705 Unknown 1025 GGCCTCCT N705 Unknown 1022 GCTACGCA N709 Unknown 1014 CAATCGAT Unknown Unknown 1009 CAGAGATG N708 Unknown 1002 CAAGGCTG N710 Unknown 999 CGGGGCTG N710 Unknown 999 TAAACGAT Unknown Unknown 989 TATACTAT Unknown Unknown 987 TCACGAAT Unknown Unknown 977 CAAAAATC Unknown Unknown 977 GCTGCGCT N709 Unknown 976 TATCGATC Unknown Unknown 971 GGAATATC Unknown Unknown 969 CCGGCGAT Unknown Unknown 964 AAGGGGCA N711 Unknown 956 TTATTCAT Unknown Unknown 956 CACGACAT Unknown Unknown 950 TAGGCCTG N706 Unknown 949 TATAAGAT Unknown Unknown 943 CTTCCTCT Unknown Unknown 942 GACAACAT Unknown Unknown 942 CAAGAGAT Unknown Unknown 941 TCATTAAT Unknown Unknown 937 TATGATAT Unknown Unknown 932 CGGGCTGA Unknown Unknown 932 AAGAGCAT Unknown Unknown 931 GACGACAG Unknown Unknown 928 GAGAGGAA Unknown Unknown 927 CATATTAT Unknown Unknown 926 GGCGACAT Unknown Unknown 925 TAGGCTGA Unknown Unknown 924 CGAGCCTG N710 Unknown 923 CAAACGAT Unknown Unknown 922 CCGAGAGG N708 Unknown 918 CAGGGATG Unknown Unknown 917 TCATTCAG Unknown Unknown 907 TAGGCATC N706 Unknown 903 TACGACAT Unknown Unknown 900 CTCTTCTT Unknown Unknown 900 TAATCGAG Unknown Unknown 898 CCTTTTAT Unknown Unknown 897 TATGCATG N706 Unknown 896 GGACACCT N705 Unknown 896 ATGAGAAT Unknown Unknown 885 CGGAAGAT Unknown Unknown 878 CAGAGTGG N708 Unknown 875 ATTCCTCT Unknown Unknown 872 GACGACAA Unknown Unknown 872 GACGAAAT Unknown Unknown 871 CATTTCAT Unknown Unknown 869 TACAACAT Unknown Unknown 869 TTCCTCCT Unknown Unknown 869 CGAGGCAT Unknown Unknown 861 CTCTATAC N707 Unknown 860 CAGGCCAT Unknown Unknown 859 ATGAGCAG N722 Unknown 858 CGGACTAT Unknown Unknown 854 TATAACAT Unknown Unknown 849 TTTCCTAT Unknown Unknown 849 ACTACGCT N709 Unknown 848 AATGGCAT Unknown Unknown 848 TCAATCAT Unknown Unknown 845 GACGCCAT Unknown Unknown 843 TGGCATGA Unknown Unknown 843 GAGACATC Unknown Unknown 842 CTACTATC Unknown Unknown 836 GCTACGCG N709 Unknown 833 CATGGCAG Unknown Unknown 832 TAATAGAT Unknown Unknown 831 ACAACAAT Unknown Unknown 830 TAACGATC Unknown Unknown 825 ATGATATC Unknown Unknown 825 CAGAAGAT Unknown Unknown 816 AAACTAAT Unknown Unknown 815 TAGGCAGG N706 Unknown 813 GACGAATC Unknown Unknown 813 CTGGCGAT Unknown Unknown 812 CCAGGCGA Unknown Unknown 811 CAGAGCAT Unknown Unknown 808 TAGGCAAT Unknown Unknown 802 TATAAAAT Unknown Unknown 800 GATACGAT Unknown Unknown 798 CATTTTAG Unknown Unknown 798 TATTTTAT Unknown Unknown 797 CGGGCGAT Unknown Unknown 792 GCTAGGCT N709 Unknown 790 CGAAATAT Unknown Unknown 789 TGATTCAT Unknown Unknown 788 TACACCAT Unknown Unknown 788 GTTCCTAT Unknown Unknown 786 TCTAATAT Unknown Unknown 785 TGGAATAT Unknown Unknown 782 CAACTCAT Unknown Unknown 774 TCCTTCCT Unknown Unknown 773 GGACGCCT N705 Unknown 773 TGGGCATG N706 Unknown 770 CCTCTACA Unknown Unknown 770 CCTTTTCT Unknown Unknown 765 CAGCCGAT Unknown Unknown 763 AAAAGATC Unknown Unknown 761 TACAGCCT D501 Unknown 761 CAAATAAT Unknown Unknown 759 CAGGCGGT Unknown Unknown 758 ATTCCGAT Unknown Unknown 757 TACGGCAT Unknown Unknown 755 TCATTCAA Unknown Unknown 754 CTGAGAGG N708 Unknown 753 TCAACAAT Unknown Unknown 753 GCTACCCT N709 Unknown 752 GCCACGCT N709 Unknown 750 ACTGAAAT Unknown Unknown 749 CATTTGAT Unknown Unknown 747 CTCTCAAC N707 Unknown 743 GCTATGCT N709 Unknown 737 AACTAATC Unknown Unknown 736 GCTACTAT Unknown Unknown 736 CTGTCTAC N707 Unknown 736 GTCGACAT Unknown Unknown 735 TAATCGCT Unknown Unknown 734 TAGGATGA Unknown Unknown 732 AGACTCCT N705 Unknown 731 TATAATAG Unknown Unknown 730 CATTTAAT Unknown Unknown 726 CATGCCAT Unknown Unknown 726 CAGAAAGG N708 Unknown 726 TATAGCAT D501 Unknown 723 TATGGCAT Unknown Unknown 722 GAGACGCT Unknown Unknown 721 AAGAGGAT Unknown Unknown 718 GGACTCCG N705 Unknown 718 ATGAGCAA Unknown Unknown 717 TCGGCATG N706 Unknown 716 GACGAGAT Unknown Unknown 716 GTAGAGAT Unknown Unknown 716 AAGAGGGA N711 Unknown 713 CGGAAAAT Unknown Unknown 711 CCATTCAT Unknown Unknown 707 ACCGGATC Unknown Unknown 704 TAGCTATC Unknown Unknown 703 ATCCTATC Unknown Unknown 701 CATGGAAT Unknown Unknown 701 TAAAAGAT Unknown Unknown 700 ACTAATAT Unknown Unknown 697 GCCGACAT Unknown Unknown 692 TAGAGCAT Unknown Unknown 691 CATGACAT Unknown Unknown 690 TACAGGAT Unknown Unknown 688 ACTGATAG Unknown Unknown 688 CGAGGTGA Unknown Unknown 687 TGTAATAT Unknown Unknown 685 CGTTTTAT Unknown Unknown 685 CCCCCCCC Unknown Unknown 684 GCTCCGCT N709 Unknown 684 TAAGCGAT Unknown Unknown 678 CGAAGCTG N710 Unknown 676 CGGCATAT Unknown Unknown 673 TATAGTAT Unknown Unknown 669 GGTACGCT N709 Unknown 666 GACGACCT Unknown Unknown 664 AAAAAAAA Unknown Unknown 664 CAGGGGGG Unknown Unknown 661 CAGGCGTT Unknown Unknown 659 TCATTCCT Unknown Unknown 659 CGGAATAG Unknown Unknown 658 CAGTGAGG N708 Unknown 657 CATAGAGG N708 Unknown 656 GACAGCAT Unknown Unknown 655 GTAAAGGA N712 Unknown 653 TATAATAA Unknown Unknown 652 AAAAAGAT Unknown Unknown 651 ATAAGCAT Unknown Unknown 651 TAACTAAT Unknown Unknown 651 CTAGCGAT Unknown Unknown 650 CGGAACAT Unknown Unknown 649 GTTACGCT N709 Unknown 647 GAAGAGAT Unknown Unknown 646 TAATCGAA Unknown Unknown 645 CAACTGAT Unknown Unknown 645 AAGGAGAT Unknown Unknown 642 CCAACGAT Unknown Unknown 640 ATTCCCAT Unknown Unknown 635 ACAGATAT Unknown Unknown 635 GAAGAGAA Unknown Unknown 635 GGACTTCT N705 Unknown 634 TACATCAT Unknown Unknown 634 CAGGCGAC Unknown Unknown 632 ATTCCTAG Unknown Unknown 632 TCAGTCAT Unknown Unknown 628 AAGAAGCA N711 Unknown 625 GTAGGGAA Unknown Unknown 624 CAATTTAT Unknown Unknown 623 AATCCTAT Unknown Unknown 623 CAGGCAGG Unknown Unknown 623 CATGTTAT Unknown Unknown 621 CATTATAT Unknown Unknown 621 AATAATAT Unknown Unknown 620 TAATTGAT Unknown Unknown 620 CGAGGCGG N710 Unknown 620 CCCCCCCT Unknown Unknown 618 TAAAATAT Unknown Unknown 617 TAGGTATG N706 Unknown 611 CTCTCGAC N707 Unknown 609 CACGGATC Unknown Unknown 604 GTCCTCCT Unknown Unknown 604 TTTAATAT Unknown Unknown 603 ATTCCTAA Unknown Unknown 598 CGCGGCTG N710 Unknown 595 CTCTCCAC N707 Unknown 595 GGACTCTT N705 Unknown 593 TAGGCACG N706 Unknown 591 CACGGCAT Unknown Unknown 590 CAGATAGG N708 Unknown 590 GAGAGGCA N711 Unknown 589 ATTCCAAT Unknown Unknown 589 CAAAAAAT Unknown Unknown 589 GCTCCTCT Unknown Unknown 589 CATTTTCT Unknown Unknown 588 GATGACAT Unknown Unknown 588 CCACTAAT Unknown Unknown 585 CACTAATC Unknown Unknown 585 AATAGGCA N711 Unknown 585 AAGAGGCG N711 Unknown 585 GCACTCCT N705 Unknown 584 CCCCTCCT Unknown Unknown 583 TTCTCTTC Unknown Unknown 581 GGACTCCC N705 Unknown 581 CAGGGATC Unknown Unknown 580 TCGTTCAT Unknown Unknown 578 CCAACAAG Unknown Unknown 577 TTGGCATG N706 Unknown 577 CTATCTAT E502,S502,[N|S|E]502 Unknown 576 CGTAATAT Unknown Unknown 574 CCAACACT Unknown Unknown 573 AAGGGCAA Unknown Unknown 570 GGGAATAT Unknown Unknown 569 ACTGATAA Unknown Unknown 569 GCTACGCC N709 Unknown 568 GAAGAGGT Unknown Unknown 567 CATTTTAA Unknown Unknown 566 TCTTTCAT Unknown Unknown 561 TCACTCAT Unknown Unknown 561 TAGTCATG N706 Unknown 559 ATGGGCAT Unknown Unknown 557 GTAGATGA N712 Unknown 557 CTTTCTAC N707 Unknown 556 AGGAGGCA N711 Unknown 551 GCATTCAT Unknown Unknown 550 ATTCGTAT Unknown Unknown 550 CGAATATC Unknown Unknown 549 CAACTACT Unknown Unknown 549 ATAGCTAT Unknown Unknown 547 CAGGCGTG Unknown Unknown 543 CTAACTAT Unknown Unknown 543 CTTTTTAT Unknown Unknown 542 TCCAGAAT Unknown Unknown 541 TTAGAGGA N712 Unknown 541 TCATCGAT Unknown Unknown 540 CAACTAAG Unknown Unknown 538 CATGCTAT Unknown Unknown 537 AAGAGCCA N711 Unknown 536 CAAAAGAG Unknown Unknown 536 GTGAGGAA Unknown Unknown 534 ATTGATAT Unknown Unknown 533 CATGGCAA Unknown Unknown 533 TACCGCAT Unknown Unknown 533 TAGTCGAT Unknown Unknown 531 CGAGACTG N710 Unknown 531 CAGGGAAG Unknown Unknown 531 CTCCCTAC E505,N707,S505,[N|S|E]505 Unknown 531 CGACTAAT S510 Unknown 530 TCCCGACT Unknown Unknown 529 ACGAGGCA N711 Unknown 526 CAGAGACG N708 Unknown 525 TCCTTCAT Unknown Unknown 524 CGGCGATC Unknown Unknown 524 ATACCTAT Unknown Unknown 523 CCGCGCGG Unknown Unknown 523 CATGATAT Unknown Unknown 521 CCAACCAT Unknown Unknown 521 CACAGGAT Unknown Unknown 520 CAATAATC Unknown Unknown 519 CTAGATAT Unknown Unknown 516 CAGACAAT Unknown Unknown 515 ATTGCTAT Unknown Unknown 515 CCATTTTA Unknown Unknown 511 CAAGCTAT Unknown Unknown 509 AACGACAT Unknown Unknown 508 TCCCGGAT Unknown Unknown 506 ATGAGCCT Unknown Unknown 505 TTCAGCAT Unknown Unknown 504 CAACCAAT Unknown Unknown 502 CCAAAAAT Unknown Unknown 500 AACAGCAT Unknown Unknown 500 TACAGATC Unknown Unknown 499 GGATTCCT N705 Unknown 499 CGCTCTAC N707 Unknown 497 GATAAGAT Unknown Unknown 496 GTAGGGGA N712 Unknown 493 TCCCGAAG Unknown Unknown 493 CATGCATC Unknown Unknown 490 CTAACAAT Unknown Unknown 490 TCCAGCAT Unknown Unknown 486 AAGCGGCA N711 Unknown 485 CTAGCTAG Unknown Unknown 485 CATGGTAT Unknown Unknown 484 ACTGGTAT Unknown Unknown 482 TCATTGAT Unknown Unknown 481 ATGACATC Unknown Unknown 480 GCTATCTC Unknown Unknown 479 ATTAGCAT Unknown Unknown 477 CAAAGAAT Unknown Unknown 476 ATTCTATC Unknown Unknown 475 CGAGGCCG N710 Unknown 475 GGAGAGGT Unknown Unknown 474 TATCATAT Unknown Unknown 472 GACGGCAT Unknown Unknown 472 TGCAGCAT Unknown Unknown 472 TACCGGAT Unknown Unknown 471 GATAATAT Unknown Unknown 471 CTAGGCTG N710 Unknown 470 CTAGCAAT Unknown Unknown 468 CATCTTAT Unknown Unknown 467 CCAGCAAT Unknown Unknown 467 CAACGGAT Unknown Unknown 465 CAAAAGCT Unknown Unknown 465 CACGCGAT Unknown Unknown 464 ATGAGGAT Unknown Unknown 464 CATGTCAT Unknown Unknown 463 GTGGAGGA N712 Unknown 463 CCCCGAAT Unknown Unknown 461 TAATCAAT Unknown Unknown 459 GAAAAGAT Unknown Unknown 457 TACAGTAT Unknown Unknown 456 AAGATGCA N711 Unknown 456 CAGGCGGG Unknown Unknown 456 GTAGAAGA N712 Unknown 455 AAAGGCAA Unknown Unknown 455 ATTCTTAT Unknown Unknown 454 CATACGAT Unknown Unknown 454 CCCAACAA Unknown Unknown 453 ATGAGGCA N711 Unknown 452 CGAGTCTG N710 Unknown 451 CTCTGTAC N707 Unknown 449 CCTCTTCC Unknown Unknown 449 ATTCCCTA Unknown Unknown 447 GCAACAAT Unknown Unknown 447 CTAGCCAT Unknown Unknown 444 CAGGGGAG Unknown Unknown 443 CACCGAAT Unknown Unknown 442 ATGACCAT Unknown Unknown 438 AACCGGAT Unknown Unknown 437 CAGAGCGT Unknown Unknown 435 CTGGCTAT Unknown Unknown 434 AGAGCATC Unknown Unknown 434 CCTACGAT Unknown Unknown 434 TCTGATAT Unknown Unknown 434 GAGGCGCT Unknown Unknown 430 TCCCGAAA Unknown Unknown 429 CACCGGAG Unknown Unknown 429 GCTACGTT N709 Unknown 429 CATTGTAT Unknown Unknown 429 CGGAATAA Unknown Unknown 428 CTCTACAT Unknown Unknown 428 CAGACGCT Unknown Unknown 427 TAATTAAT Unknown Unknown 424 CCAACAAA Unknown Unknown 420 ATAGAGGA D502,N712 Unknown 420 AAGAGTCA N711 Unknown 417 GTAGACGA N712 Unknown 414 CATGGGAT Unknown Unknown 414 TCATTATC Unknown Unknown 413 CGGAGTAT Unknown Unknown 412 TAGAATAT Unknown Unknown 412 CAAAGGAT Unknown Unknown 412 GAAAAGGA Unknown Unknown 411 GCAGAGGT Unknown Unknown 411 CTACTAAT Unknown Unknown 411 GGACTCGT N705 Unknown 411 CAGGGCGG Unknown Unknown 409 GAACTAAT Unknown Unknown 408 TAATCCAT Unknown Unknown 408 CGTGGCTG N710 Unknown 407 CCTTTCCT D503 Unknown 406 TCCGAATC Unknown Unknown 405 CGACTCAT Unknown Unknown 404 CACCGGCT Unknown Unknown 402 TCTCGAAT Unknown Unknown 401 GAAGAGGG Unknown Unknown 398 CTCTCTGC N707 Unknown 397 GCTGATAT Unknown Unknown 396 CAGACAAG Unknown Unknown 396 GATGGCAT Unknown Unknown 395 CGGTATAT Unknown Unknown 394 GTATAGGA N712 Unknown 394 CAACTAAA Unknown Unknown 393 CCTGGCAT Unknown Unknown 393 CATACGCT Unknown Unknown 392 CTGAATAT Unknown Unknown 391 GATTTTAT Unknown Unknown 390 CATTTTTA Unknown Unknown 390 TACGCATG N706 Unknown 387 TCATCCAT Unknown Unknown 387 TCCTCTCT Unknown Unknown 387 TAATGGAT Unknown Unknown 387 CAATTCAT Unknown Unknown 386 CTTTCTAT E502,S502,[N|S|E]502 Unknown 386 CAGCTAAT Unknown Unknown 386 GCTACGGT N709 Unknown 385 CATGGCCT Unknown Unknown 383 CAGGATCT Unknown Unknown 383 GAGGACAT Unknown Unknown 382 AAGAGAGA Unknown Unknown 382 GAGGAGAT Unknown Unknown 382 CAAAAGAA Unknown Unknown 381 ATGAACAT Unknown Unknown 380 CCAAGAAT Unknown Unknown 379 TCATTTAT Unknown Unknown 379 GAGCTCCT Unknown Unknown 378 CCAATAAT Unknown Unknown 377 TAGAGAAG Unknown Unknown 375 GACGATAT Unknown Unknown 375 CGTGGCAT Unknown Unknown 375 GAGGAGGA Unknown Unknown 375 CCAACTAA Unknown Unknown 374 GTAGAGTA N712 Unknown 371 CTCTTTAC E505,N707,S505,[N|S|E]505 Unknown 371 GCAACGAT Unknown Unknown 369 ATGAGTAT Unknown Unknown 368 ACAGCATC Unknown Unknown 366 CAGAGGGT Unknown Unknown 366 CAAAATAT Unknown Unknown 365 TAAAGAAT Unknown Unknown 365 CAGGCTGA Unknown Unknown 363 GAACTCAT Unknown Unknown 363 GACGCTAT Unknown Unknown 357 TAATCTAT Unknown Unknown 355 CATTGCAT Unknown Unknown 355 CAACAGAT Unknown Unknown 354 GGAATCAT Unknown Unknown 353 ACTTATAT Unknown Unknown 352 CCCCCTCT Unknown Unknown 352 GAATCGAT Unknown Unknown 351 AAATCGAT Unknown Unknown 351 CATTATCT Unknown Unknown 349 CAGAGATC Unknown Unknown 348 CAGGGCTG Unknown Unknown 348 TAGAGGCA N711 Unknown 347 CAGGGCGA Unknown Unknown 347 TCCTCCCT Unknown Unknown 346 CCGACAAT Unknown Unknown 345 GAAGGGGA Unknown Unknown 345 CAGAGGAA Unknown Unknown 345 GTAGAGCA N712 Unknown 345 TACGCTAT Unknown Unknown 344 GCTAAGAT Unknown Unknown 343 CGAGGTTG N710 Unknown 342 GTCTCTTC Unknown Unknown 342 TAGAGATG Unknown Unknown 341 TTATCGAT Unknown Unknown 341 TACGCATC Unknown Unknown 341 TCCCGTAT Unknown Unknown 341 CATTCATC Unknown Unknown 339 TGATCGAT Unknown Unknown 339 CAGAGTAG Unknown Unknown 337 CAACGAAT Unknown Unknown 337 CACCGATC Unknown Unknown 337 ATGCGCAT N722 Unknown 336 CATCTCGT Unknown Unknown 334 CATGGATC Unknown Unknown 334 CAGGGAAT Unknown Unknown 333 CGAAAGAT Unknown Unknown 333 ATTCCATC Unknown Unknown 333 CACCCGAT Unknown Unknown 332 GGACCTAT Unknown Unknown 332 CATAGTAT Unknown Unknown 332 ACATTCAT Unknown Unknown 331 ACTCTTCC Unknown Unknown 331 CTACCTAT Unknown Unknown 329 GAAGCGGA Unknown Unknown 329 CAAGCAAT Unknown Unknown 328 CACCGCAT Unknown Unknown 328 CAGACATG Unknown Unknown 327 TCCCCGAA D710 Unknown 326 GGAATGCT Unknown Unknown 325 AAGAGGTA N711 Unknown 325 TAATCATC Unknown Unknown 325 CCTGCTAT Unknown Unknown 325 CTCTCTCT E502,S502,[N|S|E]502 Unknown 323 GAGAGGGG Unknown Unknown 322 CTAGCTAA Unknown Unknown 322 ACTGTATC Unknown Unknown 322 ATTTCTAT Unknown Unknown 321 CAAGTAAT Unknown Unknown 320 CAGAGGAG Unknown Unknown 319 ATGAGCCA Unknown Unknown 318 TAGGCCAT Unknown Unknown 318 ACTCCTAT Unknown Unknown 318 ATTAATAT Unknown Unknown 316 CTAGAGGA N712 Unknown 316 ATGAGATC Unknown Unknown 316 CCGGAATA Unknown Unknown 315 CATAAGAT Unknown Unknown 315 ATTCATCT Unknown Unknown 315 CAGGCGGA Unknown Unknown 313 TAGCCATG N706 Unknown 312 CAGCGAGT Unknown Unknown 311 CAGCGGAT Unknown Unknown 310 CTAGCTAC Unknown Unknown 309 TAAATCAT Unknown Unknown 308 GCCGCTAT D502 Unknown 307 TAACCGAT Unknown Unknown 307 TACAGCCA Unknown Unknown 307 CAGGCCGA Unknown Unknown 306 CTTGCTAT Unknown Unknown 304 GATAGGCT Unknown Unknown 304 TCGGCCTG Unknown Unknown 302 CAGATCTC Unknown Unknown 302 GAGGGAGG Unknown Unknown 301 CAGAGTAT Unknown Unknown 301 TATGCATT E506,S506,[N|S|E]506 Unknown 300 AAGAGACG Unknown Unknown 299 TAGTTCAT Unknown Unknown 297 CCTCCTCT Unknown Unknown 297 TAGGGAGG Unknown Unknown 296 ATGATCAT Unknown Unknown 296 AGAGGATG E503,S503,[N|S|E]503 Unknown 294 ACTATATC Unknown Unknown 292 TACAATAT Unknown Unknown 292 CATCCTAT Unknown Unknown 291 CGAGTCTT Unknown Unknown 291 GCCCGAAT Unknown Unknown 291 CCAACTAT Unknown Unknown 290 TACAGAAG Unknown Unknown 290 CATAGAGT S516 Unknown 289 GACTACAT Unknown Unknown 288 GACGCATC Unknown Unknown 288 TTGAGCAT Unknown Unknown 287 GTGAGCAT Unknown Unknown 285 TCCCCAAT Unknown Unknown 285 TAGGAAAG Unknown Unknown 284 TCATACAT Unknown Unknown 284 CAAAACAT Unknown Unknown 283 GGCCTCAT Unknown Unknown 282 CAGAGCAG Unknown Unknown 282 TAGAGAAT Unknown Unknown 281 TCTTCATC Unknown Unknown 280 CATACTAT Unknown Unknown 280 GGAATAAT Unknown Unknown 279 ACGATATC Unknown Unknown 278 TCCCGATA Unknown Unknown 277 AAGAGAAG Unknown Unknown 277 AGTCCTAT Unknown Unknown 276 GTAGCGGT Unknown Unknown 276 GACCACAT Unknown Unknown 276 CCAAAGAT Unknown Unknown 275 GTAGCTAT Unknown Unknown 274 AGTGATAT Unknown Unknown 273 CTTTTATC Unknown Unknown 273 TATTCGAT Unknown Unknown 273 GGACTAAT Unknown Unknown 273 CACCGGAA Unknown Unknown 272 GAAGAAGA Unknown Unknown 272 CCATGGCA Unknown Unknown 271 TCATTCCA Unknown Unknown 271 TTAGCTAT Unknown Unknown 270 TATACGAT Unknown Unknown 270 CATCTAAT S510 Unknown 269 CATCGCAT Unknown Unknown 268 GGAATACT Unknown Unknown 268 AAGGCAAT S520 Unknown 267 ATTTCCTA Unknown Unknown 267 ATGCCTAT Unknown Unknown 267 TCTCCGCT Unknown Unknown 267 CAGGAGAG Unknown Unknown 266 GCTGCTAT Unknown Unknown 265 TCGCGAAT Unknown Unknown 265 ATCTCGTA Unknown Unknown 265 GAGGAAGG Unknown Unknown 264 GGACTTAT Unknown Unknown 264 TATATTAT Unknown Unknown 263 TTCCTATC Unknown Unknown 262 CAAGCATG Unknown Unknown 261 CAACTCCT Unknown Unknown 260 CTTCTCCT D505 Unknown 260 AAGGCGCA Unknown Unknown 259 CCACCAAT Unknown Unknown 259 CCAAAAGA Unknown Unknown 258 GCGACATC Unknown Unknown 257 CAGAAAAT Unknown Unknown 256 CATAGAAT Unknown Unknown 256 ATCAGCAT Unknown Unknown 256 AGGAGCAT Unknown Unknown 256 CGGGGATG Unknown Unknown 256 TACAGCAC Unknown Unknown 255 CGAACAAT Unknown Unknown 254 ACGGATAT Unknown Unknown 254 CGATGCTG N710 Unknown 253 CAGTCTAT Unknown Unknown 252 CTAGCTCT Unknown Unknown 251 CTTGGCAT Unknown Unknown 251 TAGAGGAT Unknown Unknown 251 CAAAGCAT Unknown Unknown 251 CTCGCTAT E502,S502,[N|S|E]502 Unknown 250 CCGGCGCT Unknown Unknown 250 GCGCTATC Unknown Unknown 249 AAGAGAAT Unknown Unknown 248 CACAGAGG N708 Unknown 247 TATTATAT Unknown Unknown 247 TCCCAAAT Unknown Unknown 247 CTCTCTTC N707 Unknown 246 CATTCCTA Unknown Unknown 246 GGAGTCAT Unknown Unknown 245 GGAGACAT Unknown Unknown 245 CAATTAAT Unknown Unknown 244 CTATAATA Unknown Unknown 243 ATTCCTAC Unknown Unknown 243 GATCTCGT Unknown Unknown 242 GAGAGGAT Unknown Unknown 242 TAGGCGTT Unknown Unknown 241 CATTCGAT Unknown Unknown 241 CACCGTAT Unknown Unknown 241 AAGGCGAA Unknown Unknown 241 CAACAAAT Unknown Unknown 241 CTAGGTAT Unknown Unknown 240 CAAGGAGG Unknown Unknown 240 TAGACGAT Unknown Unknown 240 CGAGGATC Unknown Unknown 239 GAGAGGCT Unknown Unknown 238 GAAGCGAT Unknown Unknown 238 TGACTCAT Unknown Unknown 238 TAGGCTTG N706 Unknown 237 GGGATCCT Unknown Unknown 237 TACAGCGT Unknown Unknown 237 CGGGAGAT Unknown Unknown 237 TCCCTAAT Unknown Unknown 236 CAGAGAGC N708 Unknown 236 TACTCGAT Unknown Unknown 236 CAGGGCAG Unknown Unknown 236 CTCACTAT E502,S502,[N|S|E]502 Unknown 236 GCCACGAT Unknown Unknown 236 GGAGACCT Unknown Unknown 236 GACCGGAT Unknown Unknown 235 TAGACAGG Unknown Unknown 235 CCCTCTAC N707 Unknown 235 TACTTCAT Unknown Unknown 234 CAAAGAAG Unknown Unknown 234 GTAGGAAT Unknown Unknown 234 CAGAGGCG Unknown Unknown 234 CACTCTAT E502,S502,[N|S|E]502 Unknown 233 TATTCATC Unknown Unknown 233 TCATTTCA Unknown Unknown 233 GAAGAAAT Unknown Unknown 233 AACAGGCA N711 Unknown 233 CGAGGAGG Unknown Unknown 232 GGATTCAT Unknown Unknown 232 GGAGAGGG Unknown Unknown 231 CAGTTTAT Unknown Unknown 231 ATATATAA Unknown Unknown 231 CCCGAATC Unknown Unknown 230 CAGGAGAA Unknown Unknown 229 TCCTATCT Unknown Unknown 228 CAGGCGCA Unknown Unknown 228 GGAACGCT Unknown Unknown 227 TAACTCAT Unknown Unknown 227 GACGTCAT Unknown Unknown 227 TATCTCGT Unknown Unknown 226 TCATGCAT Unknown Unknown 226 CAGAAAAG Unknown Unknown 225 ATTCTCCT Unknown Unknown 225 ATAATATC Unknown Unknown 225 CAGAGACA Unknown Unknown 225 GCGACGCG Unknown Unknown 225 CAGAGGCT Unknown Unknown 224 ACGACATC Unknown Unknown 224 CAGGATAT Unknown Unknown 224 AAGACGCT Unknown Unknown 224 ACTTCTCT Unknown Unknown 224 TACACGAT Unknown Unknown 223 CACGCCAT Unknown Unknown 223 CAAGGCAG Unknown Unknown 222 GAGGCATT Unknown Unknown 220 CTCATTCA Unknown Unknown 220 TAATCGGT Unknown Unknown 220 TCAGCATC Unknown Unknown 219 CAGTCTAC Unknown Unknown 219 ACTGTTAT Unknown Unknown 219 ACCCGAAT Unknown Unknown 219 TAAAGGAT Unknown Unknown 219 GGAGGCTT Unknown Unknown 218 CTTACTAT Unknown Unknown 217 CACGGGAT Unknown Unknown 217 CTACAGCA Unknown Unknown 216 GAAGCATG Unknown Unknown 215 TAGGCCTT Unknown Unknown 215 GAACTACT Unknown Unknown 214 CAGGCATT Unknown Unknown 214 CAACTAGT Unknown Unknown 214 GACGACCA Unknown Unknown 213 CCTACAAT Unknown Unknown 213 CTGATATC Unknown Unknown 213 TATTTCAT Unknown Unknown 212 ATCCCTAT Unknown Unknown 212 TAAGCATT Unknown Unknown 211 CAGCGAAT Unknown Unknown 210 TTCCGAAT Unknown Unknown 210 ACCGATAT Unknown Unknown 210 GACGACGT Unknown Unknown 210 CAGACGGT Unknown Unknown 209 CAACCGAT Unknown Unknown 209 TCCATTCA Unknown Unknown 208 GTAGCGAA Unknown Unknown 208 TATAATGT Unknown Unknown 208 CTCCCTAT E502,S502,[N|S|E]502 Unknown 207 GCAAAGCT Unknown Unknown 207 GACGAAAG Unknown Unknown 206 CAAGCCAT Unknown Unknown 206 TAATCGAC Unknown Unknown 205 GGAGACGA Unknown Unknown 205 CAGATAGT Unknown Unknown 205 CCTAGCTA Unknown Unknown 205 CATGGCCA Unknown Unknown 205 CATTTTTT Unknown Unknown 204 CCAGCGAT Unknown Unknown 204 CCTACTAT Unknown Unknown 204 GCAACACT Unknown Unknown 203 ACTCATAT Unknown Unknown 202 GTAGATAA Unknown Unknown 202 GATGATAT Unknown Unknown 202 CATGAGAT Unknown Unknown 202 GACACATC Unknown Unknown 202 TGAGCATC Unknown Unknown 201 CCGACGCT Unknown Unknown 201 GTACAGGA N712 Unknown 200 CGAGGCCT Unknown Unknown 200 GTAGTGGA N712 Unknown 200 CAAGTCAT Unknown Unknown 200 CTCTCTAG E502,N707,S502,[N|S|E]502 Unknown 200 TAGGTGAT Unknown Unknown 200 GAGAGAGT Unknown Unknown 199 GCAGCGCT Unknown Unknown 198 AGGCGATA D501 Unknown 198 CCCCTTCT Unknown Unknown 198 CATCGGAT Unknown Unknown 197 CTAGTTAT Unknown Unknown 197 TAATCGTT Unknown Unknown 196 TATACGCT Unknown Unknown 196 GGTCCTAT Unknown Unknown 195 TAAACAAT Unknown Unknown 195 GCTCCTAT Unknown Unknown 195 GGAAGCCT Unknown Unknown 195 CGACGCTG N710 Unknown 195 TAAGTCAT Unknown Unknown 194 TATAAATA Unknown Unknown 194 CATTTTAC Unknown Unknown 193 CTAATCGA A505 Unknown 193 GTTACGAT Unknown Unknown 193 CACTGATA Unknown Unknown 193 TCCTGAAT Unknown Unknown 193 CAACTTAT Unknown Unknown 192 CACAGAAT Unknown Unknown 192 GGACTATC Unknown Unknown 192 CATGAGCA Unknown Unknown 192 CGGATCTC Unknown Unknown 192 CTAGTATC Unknown Unknown 192 ATAGCATC Unknown Unknown 192 GCCTCCCT Unknown Unknown 192 GTACTCAT Unknown Unknown 191 ACCTGATA Unknown Unknown 191 GAGGAATG Unknown Unknown 191 TAAGGCAT Unknown Unknown 191 CACCAGAT Unknown Unknown 190 TAATATCT Unknown Unknown 189 CCAACGCT Unknown Unknown 188 CACTTTAT Unknown Unknown 187 ATCTCTAA Unknown Unknown 187 GGGCTACT Unknown Unknown 187 TCTACGAT Unknown Unknown 186 GTCTCTAT D502,E502,S502,[N|S|E]502 Unknown 186 ATGAGCAC Unknown Unknown 186 TCATTCAC Unknown Unknown 185 CGAGCTAT Unknown Unknown 185 TATGCTAT Unknown Unknown 185 TACTGCAT Unknown Unknown 185 CGAGGAAG Unknown Unknown 185 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/single_index/expected.txt ================================================ sample_name expected_barcode_1 expected_barcode_1_name expected_barcodes_read_count guessed_barcode_1 guessed_barcode_1_name guessed_barcodes_read_count match_type EBOV-VP24UTR_G10218A-C10220U.DMSO CAAAAGAT RPI28 264750 alternative_indices_uncertain EBOV-VP24UTR_G10218A-C10242U.DMSO CACCGGAT RPI30 187070 alternative_indices_uncertain EBOV-VP24UTR_G10218A-C10242U.NMIA CTAGCTAT RPI38 268529 alternative_indices_uncertain EBOV-VP24UTR_G10218A-C10242U.DENAT TCCCGAAT RPI46 287559 alternative_indices_uncertain ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/single_index/metrics.txt ================================================ ## htsjdk.samtools.metrics.StringHeader # ExtractIlluminaBarcodes BASECALLS_DIR=tmp/00_flowcells/171110_M04004_0212_000000000-BDTT8/Data/Intensities/BaseCalls OUTPUT_DIR=/tmp/8574290.1.broad/tmp-illumina-illumina_demux-8574290-0-5ctjr6gn/extracted_barcodes-qt71mddp LANE=1 READ_STRUCTURE=150T8B150T BARCODE_FILE=/tmp/8574290.1.broad/tmp-illumina-illumina_demux-8574290-0-5ctjr6gn/barcodeData.BDTT8.1x4fc_7rw.txt METRICS_FILE=/idi/sabeti-scratch/alin/software/viral-ngs-etc/projects/190206-LCMV-C2c2/reports/barcodes/barcodes-metrics-BDTT8.1.txt MAX_MISMATCHES=0 MINIMUM_BASE_QUALITY=20 NUM_PROCESSORS=0 MIN_MISMATCH_DELTA=1 MAX_NO_CALLS=2 MINIMUM_QUALITY=2 COMPRESS_OUTPUTS=false VERBOSITY=INFO QUIET=false VALIDATION_STRINGENCY=STRICT COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json USE_JDK_DEFLATER=false USE_JDK_INFLATER=false ## htsjdk.samtools.metrics.StringHeader # Started on: Sat Feb 16 00:09:44 EST 2019 ## METRICS CLASS picard.illumina.ExtractIlluminaBarcodes$BarcodeMetric BARCODE BARCODE_WITHOUT_DELIMITER BARCODE_NAME LIBRARY_NAME READS PF_READS PERFECT_MATCHES PF_PERFECT_MATCHES ONE_MISMATCH_MATCHES PF_ONE_MISMATCH_MATCHES PCT_MATCHES RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_PCT_MATCHES PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_NORMALIZED_MATCHES GGACTCCT GGACTCCT pTOPO-LCMV-Arm-emGFP-S-NoEnds_P3-IC-170825-cloned_171103 pTOPO-LCMV-Arm-emGFP-S-NoEnds_P3-IC-170825-cloned_171103.l1 1282976 1239382 1282976 1239382 0 0 0.060095 0.655219 0.065356 0.652624 1.904065 TAGGCATG TAGGCATG pcDNA34-MGC-ADAR2-V5 pcDNA34-MGC-ADAR2-V5.l1 1192766 1159442 1192766 1159442 0 0 0.055869 0.609149 0.06114 0.61053 1.781253 CTCTCTAC CTCTCTAC pT7CFE-MGC-ADAR2 pT7CFE-MGC-ADAR2.l1 1051975 1009354 1051975 1009354 0 0 0.049275 0.537247 0.053226 0.531497 1.550672 CAGAGAGG CAGAGAGG p20_3E5E_fLuc2 p20_3E5E_fLuc2.l1 1958086 1899076 1958086 1899076 0 0 0.091717 1 0.100143 1 2.917554 GCTACGCT GCTACGCT p20_3E5E_rLuc-fLuc2_6 p20_3E5E_rLuc-fLuc2_6.l1 1184157 1158385 1184157 1158385 0 0 0.055466 0.604752 0.061084 0.609973 1.779629 CGAGGCTG CGAGGCTG p20_3E5E_rLuc-fLuc2_5 p20_3E5E_rLuc-fLuc2_5.l1 941504 917972 941504 917972 0 0 0.0441 0.480829 0.048407 0.483378 1.410282 AAGAGGCA AAGAGGCA p20_3E5E_rLuc-fLuc2_7 p20_3E5E_rLuc-fLuc2_7.l1 765762 744083 765762 744083 0 0 0.035868 0.391077 0.039237 0.391813 1.143136 GTAGAGGA GTAGAGGA p20_3E5E_rLuc-fLuc2_8 p20_3E5E_rLuc-fLuc2_8.l1 940017 917850 940017 917850 0 0 0.044031 0.480069 0.0484 0.483314 1.410095 ACTGATAT ACTGATAT EBOV-VP24UTR_G10218.DMSO EBOV-VP24UTR_G10218.DMSO.l1 538711 517696 538711 517696 0 0 0.025233 0.275121 0.027299 0.272604 0.795337 ATGAGCAT ATGAGCAT EBOV-VP24UTR_G10218A.DMSO EBOV-VP24UTR_G10218A.DMSO.l1 382966 366987 382966 366987 0 0 0.017938 0.195582 0.019352 0.193245 0.563803 ATTCCTAT ATTCCTAT EBOV-VP24UTR_G10218A-A10232G.DMSO EBOV-VP24UTR_G10218A-A10232G.DMSO.l1 490275 472589 490275 472589 0 0 0.022965 0.250385 0.024921 0.248852 0.726039 CAAAAGAT CAAAAGAT EBOV-VP24UTR_G10218A-C10220U.DMSO EBOV-VP24UTR_G10218A-C10220U.DMSO.l1 264750 255281 264750 255281 0 0 0.012401 0.135209 0.013462 0.134424 0.392189 CAACTAAT CAACTAAT EBOV-VP24UTR_G10218A-A10240G.DMSO EBOV-VP24UTR_G10218A-A10240G.DMSO.l1 353697 337630 353697 337630 0 0 0.016567 0.180634 0.017804 0.177786 0.518702 CACCGGAT CACCGGAT EBOV-VP24UTR_G10218A-C10242U.DMSO EBOV-VP24UTR_G10218A-C10242U.DMSO.l1 187070 179344 187070 179344 0 0 0.008762 0.095537 0.009457 0.094438 0.275526 CAGGCGAT CAGGCGAT EBOV-VP24UTR_G10218.NMIA EBOV-VP24UTR_G10218.NMIA.l1 1179793 1125673 1179793 1125673 0 0 0.055262 0.602524 0.059359 0.592748 1.729373 CATGGCAT CATGGCAT EBOV-VP24UTR_G10218A.NMIA EBOV-VP24UTR_G10218A.NMIA.l1 386930 371948 386930 371948 0 0 0.018124 0.197606 0.019614 0.195857 0.571424 CATTTTAT CATTTTAT EBOV-VP24UTR_G10218A-A10232G.NMIA EBOV-VP24UTR_G10218A-A10232G.NMIA.l1 561855 537740 561855 537740 0 0 0.026317 0.286941 0.028356 0.283159 0.826131 CCAACAAT CCAACAAT EBOV-VP24UTR_G10218A-C10220U.NMIA EBOV-VP24UTR_G10218A-C10220U.NMIA.l1 395259 379142 395259 379142 0 0 0.018514 0.20186 0.019993 0.199646 0.582477 CGGAATAT CGGAATAT EBOV-VP24UTR_G10218A-A10240G.NMIA EBOV-VP24UTR_G10218A-A10240G.NMIA.l1 487124 470904 487124 470904 0 0 0.022817 0.248776 0.024832 0.247965 0.723451 CTAGCTAT CTAGCTAT EBOV-VP24UTR_G10218A-C10242U.NMIA EBOV-VP24UTR_G10218A-C10242U.NMIA.l1 268529 257633 268529 257633 0 0 0.012578 0.137139 0.013586 0.135662 0.395802 GACGACAT GACGACAT EBOV-VP24UTR_G10218.DENAT EBOV-VP24UTR_G10218.DENAT.l1 471442 454685 471442 454685 0 0 0.022082 0.240767 0.023977 0.239424 0.698533 TAATCGAT TAATCGAT EBOV-VP24UTR_G10218A.DENAT EBOV-VP24UTR_G10218A.DENAT.l1 349709 334453 349709 334453 0 0 0.01638 0.178597 0.017637 0.176114 0.513821 TACAGCAT TACAGCAT EBOV-VP24UTR_G10218A-A10232G.DENAT EBOV-VP24UTR_G10218A-A10232G.DENAT.l1 588492 559195 588492 559195 0 0 0.027565 0.300545 0.029488 0.294456 0.859092 TATAATAT TATAATAT EBOV-VP24UTR_G10218A-C10220U.DENAT EBOV-VP24UTR_G10218A-C10220U.DENAT.l1 482453 460095 482453 460095 0 0 0.022598 0.24639 0.024262 0.242273 0.706845 TCATTCAT TCATTCAT EBOV-VP24UTR_G10218A-A10240G.DENAT EBOV-VP24UTR_G10218A-A10240G.DENAT.l1 541051 519095 541051 519095 0 0 0.025343 0.276316 0.027373 0.273341 0.797487 TCCCGAAT TCCCGAAT EBOV-VP24UTR_G10218A-C10242U.DENAT EBOV-VP24UTR_G10218A-C10242U.DENAT.l1 287559 278125 287559 278125 0 0 0.013469 0.146857 0.014666 0.146453 0.427284 NNNNNNNN NNNNNNNN 3814272 2039896 0 0 0 0 0.178661 1.947959 0.107569 1.074152 0 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/single_index_i5_only/barcodes.txt ================================================ Barcode1 Likely_Index_Names1 Barcode2 Likely_Index_Names2 Count GACGGTTA BI5B07 Unknown 232258 GAACTTCG BI5B06 Unknown 226749 TTAGCCAG BI5B05 Unknown 176648 TCTTTCCC Unknown Unknown 100792 CAAGCTTA BI5B08 Unknown 21771 TCCTTTTC Unknown Unknown 662 TCCCTTCT Unknown Unknown 630 TTCTCCCT Unknown Unknown 626 TACGGTTA BI5B07,X5135,X7346 Unknown 596 TAACTTCG BI5B06,X5016,X5355,X7126 Unknown 535 GTACTTCG BI5B06,X5337 Unknown 319 GTCGGTTA BI5B07,X5188,X7293 Unknown 183 TTAGCCTG BI5B05 Unknown 155 GCCTTTTC Unknown Unknown 151 GCCCTTCT X5312,X7169 Unknown 143 GACCTTCG BI5B06 Unknown 137 TTAGCCAA BI5B05 Unknown 137 GACGTTTA BI5B07 Unknown 135 TCTTTTCC Unknown Unknown 133 GAAAGGAG BI5H02,E505,S505,[N|S|E]505 Unknown 129 GACGGTTT BI5B07 Unknown 126 TCTTTCCT Unknown Unknown 119 GAACTTCA BI5B06 Unknown 117 GAAGGGGA BI5F04 Unknown 112 TAGCCAGA Unknown Unknown 111 GACGGCTA BI5B07 Unknown 100 GAACTTTG BI5B06 Unknown 98 GAGGGGGA Unknown Unknown 97 GCACTTCG BI5B06,X5258,X7223 Unknown 97 TCTTTCTC Unknown Unknown 96 GACGGTAA BI5B07,BI7C04,X5188,X7293 Unknown 85 ATAGCCAG BI5E07 Unknown 84 GAACTTCT BI5B06 Unknown 79 TCTTCCCT Unknown Unknown 78 AACGGTTA BI5B07,X5004,X5204,X7277 Unknown 76 TTAGCTAG BI5B05,X5094,X7003 Unknown 76 CCCTCTTC X5140 Unknown 75 TTACTTCG X5355,X7126 Unknown 73 TTAGCCAT BI5B05,RPI3,X5373 Unknown 73 TTAGTCAG BI5B05,BI7D11 Unknown 71 CGACGGTT Unknown Unknown 70 GAAACTTC X5359 Unknown 70 TTTTTCCC Unknown Unknown 68 GAACTCGA Unknown Unknown 67 GAAAAAAG Unknown Unknown 65 GATGGTTA BI5B07 Unknown 65 TTATCCAG BI5B05 Unknown 65 AAACTTCG BI5B06 Unknown 64 GGAGAAAG Unknown Unknown 64 ACGGTTAA Unknown Unknown 62 GACTTCGA X5282 Unknown 62 GTAGCCAG BI5B05,BI5E07 Unknown 61 CGAACTTC BI5D12 Unknown 60 TTAACCAG BI5B05,BI7D11 Unknown 60 GAACTTCC BI5B06 Unknown 59 GAAGGAAA BI7C10,X5057,X7040 Unknown 57 GACCGTTA BI5B07,BI7G10,X5031 Unknown 56 CCCCCCCC Unknown Unknown 55 GACGGTTG BI5B07,BI7G10,X5135,X7346 Unknown 55 GACGTTAA BI5E12 Unknown 55 GACGGGTT Unknown Unknown 54 GATCTTCG BI5B06,X5337 Unknown 54 GAACGGTT X5003 Unknown 52 GAACTTGA X5225 Unknown 52 GACGGTCA BI5B07,X5204,X7277 Unknown 52 GAAGGTTA BI5B07,X5359,X7122 Unknown 51 GACAGTTA BI5B07,BI7C04 Unknown 51 AACTTCGA X5187 Unknown 48 GACTGTTA BI5B07 Unknown 48 ACTTTCCC Unknown Unknown 47 GAATTTCG BI5B06,BI5D12 Unknown 47 GACCTTTA Unknown Unknown 46 CTTAGCCA Unknown Unknown 45 GAAAAGAG X5230,X7251 Unknown 45 GCCGGTTA BI5B07,X5004 Unknown 45 GCTTTCCC Unknown Unknown 44 GAACCTCG BI5B06,X5005,X7092 Unknown 43 AGAGAAAG Unknown Unknown 42 GACGATTA BI5B07 Unknown 41 TGAGAAAG Unknown Unknown 41 TTTGCCAG BI5B05 Unknown 41 GACGGATA BI5B07,X5031 Unknown 40 TTAGCCCG BI5B05 Unknown 40 GGAACTTC A507,BI5D12 Unknown 39 GGTTAACA Unknown Unknown 39 TAACTTCT Unknown Unknown 39 TTAGCAGA Unknown Unknown 39 TTAGCCGG BI5B05 Unknown 38 TTCGGTTA X5268 Unknown 38 TTCGCCTG Unknown Unknown 37 CTTTCCCT Unknown Unknown 36 TTAAGCCA Unknown Unknown 36 AAAAAAAA Unknown Unknown 35 GAACTTTC X5359 Unknown 35 GAGGTTAA Unknown Unknown 35 TAAGCTTA BI5B08,D506 Unknown 34 TTCGGCTA X5268 Unknown 34 TTGCCAGA X5179 Unknown 34 GAAAGAAG BI7C10,X5057,X5288,X7040 Unknown 33 GAGCTTCG BI5B06 Unknown 33 TCTTTCAC Unknown Unknown 33 TTAGCCAC BI5B05 Unknown 33 TTAGGCCA Unknown Unknown 33 GACTTTTA Unknown Unknown 32 GGACGGTT X5003 Unknown 32 GGCGGTTA BI5B07 Unknown 31 TCCTTCCC Unknown Unknown 31 TTAGCCCA Unknown Unknown 31 TTAGCCGA Unknown Unknown 31 TTATCCAT Unknown Unknown 31 AAAGAAAG Unknown Unknown 30 GGACTTCG BI5B06,X5355,X7126 Unknown 30 GACGGTTC BI5B07,X5359,X7122 Unknown 29 GCGGTTAA Unknown Unknown 29 TCAGCCAG BI5B05 Unknown 29 GAATTCGA D706,X5076,X7021 Unknown 28 TCTCTCCC S511 Unknown 28 TTCGCCAG BI5B05,X5373 Unknown 28 TTTCCCTA Unknown Unknown 28 CACGGTTA BI5B07 Unknown 27 CTAGCCAG BI5B05,BI5E07 Unknown 27 CACGCTTA BI5B08,BI7B02 Unknown 26 TTCGCCTA X5268 Unknown 26 TTTAGCCA Unknown Unknown 26 CCTTTCCC Unknown Unknown 25 GAAGAAAG BI7C10,X5057,X7040 Unknown 25 GAAGGAAG BI7C10,X5057,X7040 Unknown 25 GAAGGAGA Unknown Unknown 25 TACTTTTA Unknown Unknown 25 TTTTCCCT Unknown Unknown 25 GTCGGCTA X5268 Unknown 24 GAACTTAG BI5B06 Unknown 23 TACGGCTA X5268 Unknown 23 CTCTTTCC Unknown Unknown 22 GACCGGTT X5003 Unknown 22 TCTTCCCC Unknown Unknown 22 TAAGCCAG BI5B05 Unknown 21 TCTCTTCC Unknown Unknown 21 TTACCAGA Unknown Unknown 21 TTACCCAG BI5B05,X5156,X7325 Unknown 21 TTGGCCAG BI5B05 Unknown 21 AAGCTTAA Unknown Unknown 20 GAACTCCG BI5B06 Unknown 20 GACCTTTG BI7G10 Unknown 20 TTCTCCCC Unknown Unknown 20 CTAGCTTA BI5B08,X5094 Unknown 19 GCTCTTCG X5337 Unknown 19 TCCCTTCC Unknown Unknown 19 GAAGGGAG BI7C10,X5057,X7040 Unknown 18 TTAGCAAG BI5B05 Unknown 18 GAAGGGAA Unknown Unknown 17 TGTTTCCC Unknown Unknown 17 TTACTTAG Unknown Unknown 17 TTTTTCAC Unknown Unknown 17 GAGGGAAA Unknown Unknown 17 CAACTTCG BI5B06,X5150 Unknown 16 GACCTTCA Unknown Unknown 16 GACGCTTA BI5B07 Unknown 16 TAGGGAAA Unknown Unknown 16 TCCCTTTC Unknown Unknown 16 AAAGAGGA Unknown Unknown 16 GAGGGAGA Unknown Unknown 15 AAAGCTTA BI5B08 Unknown 13 CAACCCCC Unknown Unknown 13 GCTCTTCC Unknown Unknown 13 TAAGAAAG Unknown Unknown 13 TTACTCCG Unknown Unknown 13 TTAGCCTA Unknown Unknown 13 AAGGGAAA Unknown Unknown 13 GAACCTTC X5359 Unknown 12 GACGGGGA Unknown Unknown 12 TCCTTTCC Unknown Unknown 12 TTAGACAG BI5B05 Unknown 12 CAAGCTTT BI5B08 Unknown 11 CAAGTTTA BI5B08 Unknown 11 GAACTACG BI5B06 Unknown 11 NACGGTTA BI5B07 Unknown 11 TTAGTCCG Unknown Unknown 11 TTAGTTAG BI5H08 Unknown 11 GAAGGTTG BI5E01,X5359,X7122 Unknown 10 GAAGTTCG BI5D12 Unknown 10 CAATCTTA BI5B08,D506 Unknown 9 CCACCCAC Unknown Unknown 9 GAACGTCG BI5B06,X5005,X5016,X7092 Unknown 9 GCACTTCC Unknown Unknown 9 GCCGGTTC Unknown Unknown 9 NAACTTCG BI5B06 Unknown 9 TCACTTCG X5355,X7126 Unknown 9 TCTTTCCA Unknown Unknown 9 CAAGCTAA BI5B08 Unknown 8 GAAATTCG BI5B06,BI5D12,X5258,X7223 Unknown 8 GAAGAGAG Unknown Unknown 8 GACCTTCT BI5C11,X5312,X7169 Unknown 8 GACGGGTA BI5B07 Unknown 8 TCACTTCT RP3-v4 Unknown 8 TCTTACCC E517,S517,[N|S|E]517 Unknown 8 TTACTCAG BI7D11 Unknown 8 TTAGGCAG BI5B05,RPI3 Unknown 8 TTCCCCCT X5138 Unknown 8 TTCTCCCG X5207,X7274 Unknown 8 TTCTTTCC Unknown Unknown 8 AAGAGAAA Unknown Unknown 8 CACCCCCC Unknown Unknown 7 GACGCTCT X5080,X7017 Unknown 7 GCCTCTTC X5140 Unknown 7 GCCTGTTA Unknown Unknown 7 GTCGCCTA Unknown Unknown 7 TGAGCCAG BI5B05,X5094,X7003 Unknown 7 TTAGCGAG BI5B05,X5156,X7325 Unknown 7 TTATCCCT Unknown Unknown 7 TTCGGCTG X5268 Unknown 7 GAGAGAAA Unknown Unknown 7 ACTTCGAC X5071 Unknown 6 CAGCTTAA Unknown Unknown 6 CCAAGCTT X5252 Unknown 6 CCCTTTTC Unknown Unknown 6 GAAATGAG X5109 Unknown 6 GAACATCG X5005,X7092 Unknown 6 GAACCCCG Unknown Unknown 6 GAACTTTA Unknown Unknown 6 GACGTTTG Unknown Unknown 6 GATCTTCC X5086 Unknown 6 GTAGTTAG Unknown Unknown 6 TAAGGCAA N701 Unknown 6 TATTTCCC Unknown Unknown 6 TCATTCCC Unknown Unknown 6 TCCTTTTA Unknown Unknown 6 TCTTTAAC Unknown Unknown 6 TCTTTACC Unknown Unknown 6 CACCCCTA X5277,X7204 Unknown 6 ACTCTTTC Unknown Unknown 5 CAAAGCTT Unknown Unknown 5 CAAGCCTA BI5B08 Unknown 5 CAAGTTAA Unknown Unknown 5 CAGGCTTA BI5B08,BI7B02 Unknown 5 CATGCTTA BI7B02 Unknown 5 CCAGCTTA BI5B08 Unknown 5 CCTCCCCC Unknown Unknown 5 GAAACTCG Unknown Unknown 5 GAAAGGCG Unknown Unknown 5 GAAAGGGA Unknown Unknown 5 GAAAGTCG BI5F09 Unknown 5 GAACGTTA BI5C09,X5225 Unknown 5 GAACTTGG BI5B06,X5041,X5150,X7056 Unknown 5 GAAGCTTA BI5B08 Unknown 5 GACACTCT Unknown Unknown 5 GACCGTCA Unknown Unknown 5 GACGGAAC Unknown Unknown 5 GCCCCTCT Unknown Unknown 5 GCCCTTCC Unknown Unknown 5 GCCTGTTC Unknown Unknown 5 NTAGCCAG BI5B05,BI5E07 Unknown 5 TATCTTCG Unknown Unknown 5 TCACTTCC Unknown Unknown 5 TCCTCTTC BI5F04,X5140 Unknown 5 TCTATCCC Unknown Unknown 5 TCTCTTCG S511 Unknown 5 TCTTTCGC E517,S517,[N|S|E]517 Unknown 5 TTATCCAC X5290 Unknown 5 TTATCCCG Unknown Unknown 5 TTTGTCAG X5169 Unknown 5 CAAGAAAA Unknown Unknown 4 CAAGGTTA BI5B08 Unknown 4 CACCCCCA Unknown Unknown 4 CCACCCCC Unknown Unknown 4 CCCCTTCC BI7F07 Unknown 4 CTACCCAC X5290 Unknown 4 GAACGGCG Unknown Unknown 4 GACGGCAA Unknown Unknown 4 GAGGGTTA BI5B07 Unknown 4 GCAAGGAG BI5H02,E505,S505,X5109,[N|S|E]505 Unknown 4 GCCGGCTC Unknown Unknown 4 GCTGGTTA Unknown Unknown 4 GGGGGGGG Unknown Unknown 4 GGGTTAAC BI5H03 Unknown 4 GTACTTAG Unknown Unknown 4 GTAGTTCG BI5D12,X5056,X7041 Unknown 4 GTCGCTTA Unknown Unknown 4 TAAGCCAA Unknown Unknown 4 TACCTTCT Unknown Unknown 4 TAGAGAAA Unknown Unknown 4 TCCGGTTC Unknown Unknown 4 TCCTCCCT X5374,X7107 Unknown 4 TTACCCCG Unknown Unknown 4 TTAGCTCG X5222,X7259 Unknown 4 TTCGCCAA X5373 Unknown 4 TTCTCCAT X5373 Unknown 4 TTGCCCGA Unknown Unknown 4 TTTTCCCC Unknown Unknown 4 AAAGGAAA Unknown Unknown 4 CAAACTTA BI5B08 Unknown 4 CAAGCTTG BI5B08 Unknown 4 GATGTTTA Unknown Unknown 4 GGAGGAAG BI7C10,X5057,X7040 Unknown 4 AATACCAT BI5A09 Unknown 3 AGGGGGCA Unknown Unknown 3 CAACTTCC Unknown Unknown 3 CAAGAGGA Unknown Unknown 3 CAAGCTCA BI5B08,X5094 Unknown 3 CAAGGCTT Unknown Unknown 3 CACGGCTA X5063,X5367,X7034 Unknown 3 CCCCCCTC Unknown Unknown 3 CCCCTTCT Unknown Unknown 3 CCTCTCCC Unknown Unknown 3 CCTTCTTC Unknown Unknown 3 CCTTTTTC Unknown Unknown 3 CTACCCCC Unknown Unknown 3 GAAACACT Unknown Unknown 3 GAAAGGGG Unknown Unknown 3 GAAGGCTA BI5C09 Unknown 3 GAAGGTAA Unknown Unknown 3 GAAGTTAG BI5D12,X5041,X7056 Unknown 3 GAAGTTTA Unknown Unknown 3 GAAGTTTG BI5D12,X5041,X7056 Unknown 3 GACGGTAC Unknown Unknown 3 GACTCTTT Unknown Unknown 3 GCCCTTTC Unknown Unknown 3 GCTAGCAG BI5B01 Unknown 3 GCTTAACA X5116 Unknown 3 GCTTTCTC Unknown Unknown 3 GTAGCTAG Unknown Unknown 3 TAAGCTAG BI5B08,X5094,X7003 Unknown 3 TAAGGAAA Unknown Unknown 3 TAAGGAAG BI7C10,X5057,X7040 Unknown 3 TACGCTTA Unknown Unknown 3 TACGTTTA Unknown Unknown 3 TAGGTAAA Unknown Unknown 3 TAGTGAAA Unknown Unknown 3 TATGGCTA X5063,X7034 Unknown 3 TATTTCTA Unknown Unknown 3 TCCCCCCC Unknown Unknown 3 TCCGGTTA X5004 Unknown 3 TCGGGAAC Unknown Unknown 3 TCTGTCCC Unknown Unknown 3 TCTTTCCG S511 Unknown 3 TTACCTCG Unknown Unknown 3 TTAGCGAC X5188 Unknown 3 TTAGTTCG BI5H08,X5222,X7259 Unknown 3 TTCAGACA Unknown Unknown 3 TTCGACAC Unknown Unknown 3 TTCGCTTG Unknown Unknown 3 AAAGAAAA Unknown Unknown 3 AAGTGAAA Unknown Unknown 3 AAGTTAAA Unknown Unknown 3 AGGGGAAA Unknown Unknown 3 GAACGACA Unknown Unknown 3 GAACTTAC Unknown Unknown 3 GACGGGCA Unknown Unknown 3 GACGTTCA Unknown Unknown 3 GAGGGGAA Unknown Unknown 3 GCCTTCTC X5193,X7288 Unknown 3 GTAGGTTA Unknown Unknown 3 NCTTTCCC Unknown Unknown 3 TTAGCTTA Unknown Unknown 3 TTCGCTTA BI7D01 Unknown 3 AACGGATA Unknown Unknown 2 ACACTCTT Unknown Unknown 2 AGCCAGAC Unknown Unknown 2 AGGGGGAG Unknown Unknown 2 ATCCTTAA BI5A12 Unknown 2 CAACCTTA BI5B08,X5135 Unknown 2 CAACTTCA X5183 Unknown 2 CAAGCCTT Unknown Unknown 2 CACCCCTC A706 Unknown 2 CACGGTTC BI5F05,X5111 Unknown 2 CACTCTTT Unknown Unknown 2 CAGACACT BI7E05 Unknown 2 CCATCTTC X5041 Unknown 2 CCCCCTCC Unknown Unknown 2 CCCGGTTA X5004 Unknown 2 CCGGGGCA Unknown Unknown 2 CGGGGGAG Unknown Unknown 2 CGGTTAAC X5299,X7182 Unknown 2 GAAAAGCG Unknown Unknown 2 GAAAATCG X5005,X7092 Unknown 2 GAACCGAC BI5D05 Unknown 2 GAACCTAG X5168,X7313 Unknown 2 GAACGTCA X5225 Unknown 2 GAACGTTG BI7G10 Unknown 2 GAACTACA Unknown Unknown 2 GAACTGCG BI5B06 Unknown 2 GAAGGACA Unknown Unknown 2 GAAGGTCA Unknown Unknown 2 GAAGGTCG BI5D12 Unknown 2 GAATCGAC BI5D05 Unknown 2 GACAACAC Unknown Unknown 2 GACCGTCG BI7G10 Unknown 2 GACCTTTC Unknown Unknown 2 GACGCCTA Unknown Unknown 2 GACGGACA Unknown Unknown 2 GACGGCAC Unknown Unknown 2 GACGTTCG BI5D12 Unknown 2 GACGTTCT X5080,X7017 Unknown 2 GACTTCTA Unknown Unknown 2 GATGGCTA X5063,X7034 Unknown 2 GATTTTTC Unknown Unknown 2 GCACTGAG X5109 Unknown 2 GCACTTCT BI7C01 Unknown 2 GCCCGTTC Unknown Unknown 2 GCCCTTCG Unknown Unknown 2 GCCGGCTA Unknown Unknown 2 GCCTTCCC Unknown Unknown 2 GCCTTTTA Unknown Unknown 2 GTACCTAG Unknown Unknown 2 GTAGCCTA X5084 Unknown 2 GTAGCTCG Unknown Unknown 2 GTCGACAC Unknown Unknown 2 TAACCTCG X5016 Unknown 2 TAACTTCC A507 Unknown 2 TAAGACAG A504 Unknown 2 TAAGGCTA N701,S521 Unknown 2 TAAGGTTA D506 Unknown 2 TATCTTCC BI7D07 Unknown 2 TATGTTTA Unknown Unknown 2 TATTTTCG Unknown Unknown 2 TATTTTTA Unknown Unknown 2 TCAGCCAC X5356 Unknown 2 TCCGGCTA X5268 Unknown 2 TCCGGCTC Unknown Unknown 2 TCCTCCCC Unknown Unknown 2 TCCTCCTC Unknown Unknown 2 TCCTTCTC X5193,X7288 Unknown 2 TCTCCCTC Unknown Unknown 2 TCTGTCAC Unknown Unknown 2 TCTTTTTA Unknown Unknown 2 TGAGACAG Unknown Unknown 2 TGGGGGGG Unknown Unknown 2 TTACAGAC X5027,X5188,X7070 Unknown 2 TTACCAAA Unknown Unknown 2 TTACCCAC BI7C05,X5188 Unknown 2 TTACCCGG Unknown Unknown 2 TTAGCAAA Unknown Unknown 2 TTAGCCTT S520,X5216 Unknown 2 TTAGCTGA BI7D01 Unknown 2 TTAGCTTG BI5B08 Unknown 2 TTAGGCAA RPI3 Unknown 2 TTATTCAG BI7D11 Unknown 2 TTATTCAT BI5A10,RPI45 Unknown 2 TTCCCCAC Unknown Unknown 2 TTCCCCCC Unknown Unknown 2 TTCCCTAC Unknown Unknown 2 TTCGCTAA BI7D01 Unknown 2 TTCGGTTG X5135,X7346 Unknown 2 TTCTCCTC Unknown Unknown 2 TTCTCTTC Unknown Unknown 2 AAAAAATA Unknown Unknown 2 AAGAAAAA Unknown Unknown 2 AAGGTAAA BI5F12 Unknown 2 AGAGAGAG BI5D03,E502,S502,[N|S|E]502 Unknown 2 AGGGGGGG Unknown Unknown 2 CCACTTCC Unknown Unknown 2 CCCGGTTC Unknown Unknown 2 CTGCTCCT BI5A05 Unknown 2 GAAAGAAA Unknown Unknown 2 GAAGAAAA Unknown Unknown 2 GAAGCCAG Unknown Unknown 2 GAAGGATA Unknown Unknown 2 GAAGGGGG Unknown Unknown 2 GACGACAC RPI41 Unknown 2 GAGTGAAA Unknown Unknown 2 GATCTTTC X5086 Unknown 2 GCAAAGAG X5109 Unknown 2 GCCAGACA Unknown Unknown 2 GCCTTTCC Unknown Unknown 2 GGGGGGGA Unknown Unknown 2 GTAGCCTG Unknown Unknown 2 TACCTTCG Unknown Unknown 2 TACTTTTC Unknown Unknown 2 TATTTCCA Unknown Unknown 2 TATTTCTC Unknown Unknown 2 TCTGGCTC Unknown Unknown 2 TCTTCCTC Unknown Unknown 2 TCTTGCCC Unknown Unknown 2 TCTTTTTC Unknown Unknown 2 TTAACTCT Unknown Unknown 2 TTAGACAC A504,X5356 Unknown 2 TTAGCCTC Unknown Unknown 2 TTGCCCGG Unknown Unknown 2 TTGGCCGG Unknown Unknown 2 TTTGCCAC Unknown Unknown 2 TTTTTTTT Unknown Unknown 2 AAAAGAAA Unknown Unknown 1 AAAGCCAG BI5E07 Unknown 1 AACACTCT X5051 Unknown 1 AACCTCTT BI5A03 Unknown 1 AACCTTCA Unknown Unknown 1 AACTGAGC X5079,X7018 Unknown 1 AACTTCCA Unknown Unknown 1 AAGGGGGG Unknown Unknown 1 AATTCAAC BI5C02 Unknown 1 ACCGGTTC X5004 Unknown 1 ACGGAACA X5089,X7008 Unknown 1 ACGGGGAG Unknown Unknown 1 ACGGGGAT Unknown Unknown 1 ACGTGAAG X5118,X7363 Unknown 1 AGGGGATG Unknown Unknown 1 ATGACGTC X5040,X7057 Unknown 1 CAACCCCG Unknown Unknown 1 CAACCTCC BI5E01,X5292 Unknown 1 CAACGCCG Unknown Unknown 1 CAACTCCC BI7B08,X5183 Unknown 1 CAAGAAGA X5257 Unknown 1 CAAGAGAA X5207 Unknown 1 CAAGCAAC Unknown Unknown 1 CAAGCTAG X5168,X7313 Unknown 1 CAAGCTTC BI5B08 Unknown 1 CAAGGGGG Unknown Unknown 1 CACCGCCC Unknown Unknown 1 CACCGTTC X5003,X7094 Unknown 1 CAGGGGGG Unknown Unknown 1 CAGGGGTG Unknown Unknown 1 CATACCAC X5042,X7055 Unknown 1 CATCCCCC Unknown Unknown 1 CATTTTCA Unknown Unknown 1 CCAGACAC X5356 Unknown 1 CCCCCTTC Unknown Unknown 1 CCCCGTTC Unknown Unknown 1 CCCCTCCC Unknown Unknown 1 CCCGCCCC Unknown Unknown 1 CCCGGGTA Unknown Unknown 1 CCCTTCCC Unknown Unknown 1 CCGGGGAA Unknown Unknown 1 CCTGCTTC Unknown Unknown 1 CCTGGCCC Unknown Unknown 1 CCTTCCTC X5248,X7233 Unknown 1 CCTTTCAC Unknown Unknown 1 CGAAACTT Unknown Unknown 1 CGAACTTG BI5D12 Unknown 1 CGAGCTTA BI5B08 Unknown 1 CGAGGGTT Unknown Unknown 1 CGCAGATC Unknown Unknown 1 CGGCTTCT X5112,X7369 Unknown 1 CGGGGATA Unknown Unknown 1 CGGGGCGG Unknown Unknown 1 CGGGGGGG Unknown Unknown 1 CGGTTCTT BI5A02 Unknown 1 CTAGCCAC X5290 Unknown 1 CTAGCCCC Unknown Unknown 1 CTATTAGC BI5C07 Unknown 1 CTCCCTAC BI5H02,BI7G02,E505,N707,S505,[N|S|E]505 Unknown 1 CTGGGGGG Unknown Unknown 1 CTTCGACA X5011,X7086 Unknown 1 GAAAAAGA Unknown Unknown 1 GAAACTCT Unknown Unknown 1 GAACACTC Unknown Unknown 1 GAACCTTG X5359 Unknown 1 GAACTAAG X5288 Unknown 1 GAACTCCC Unknown Unknown 1 GAACTCCT BI7D03,N705 Unknown 1 GAACTCTT X5132,X7349 Unknown 1 GAACTGAC D508,X5120 Unknown 1 GAAGCTAG Unknown Unknown 1 GAAGTTCA BI5D12 Unknown 1 GAATTTCC Unknown Unknown 1 GACCGTTG BI7G10 Unknown 1 GACCTACA Unknown Unknown 1 GACGAACA X5047 Unknown 1 GACGGACT X5047 Unknown 1 GACGGCTT Unknown Unknown 1 GACGGGAA Unknown Unknown 1 GACGGTCG Unknown Unknown 1 GACGGTCT X5080,X7017 Unknown 1 GACGTCCC Unknown Unknown 1 GACTCCTA Unknown Unknown 1 GACTGACA X5283,X7198 Unknown 1 GACTGTTC Unknown Unknown 1 GAGGGGTA Unknown Unknown 1 GAGTGACA Unknown Unknown 1 GATGTTCA Unknown Unknown 1 GATGTTCG BI5D12,X5056,X7041 Unknown 1 GATTAACA Unknown Unknown 1 GATTTCCA BI7G11 Unknown 1 GATTTCGA X5262 Unknown 1 GCACAGAG Unknown Unknown 1 GCACCTCC Unknown Unknown 1 GCACCTTC X5359 Unknown 1 GCACGTTC X5225,X7256 Unknown 1 GCAGCCAG Unknown Unknown 1 GCCCTCCC Unknown Unknown 1 GCCTGCTC Unknown Unknown 1 GCCTTTCT Unknown Unknown 1 GCGGGAAA Unknown Unknown 1 GCGTGTTC Unknown Unknown 1 GCTCTCTT BI5E02 Unknown 1 GCTCTTTC Unknown Unknown 1 GCTGGTTC BI5C05 Unknown 1 GCTTGTTC Unknown Unknown 1 GCTTTCCG Unknown Unknown 1 GCTTTTTC Unknown Unknown 1 GGCCTGCC Unknown Unknown 1 GGCTGATA X5202 Unknown 1 GGGAGAAT Unknown Unknown 1 GGGCTACG Unknown Unknown 1 GGGGGGAG Unknown Unknown 1 GGGGGGGT Unknown Unknown 1 GTACCTCG Unknown Unknown 1 GTACTCCG X5255 Unknown 1 GTACTTCT X5312,X7169 Unknown 1 GTAGCCAA Unknown Unknown 1 GTAGCCGG Unknown Unknown 1 GTAGCTTG Unknown Unknown 1 GTAGGCAG Unknown Unknown 1 GTAGGCTA Unknown Unknown 1 GTAGTCCG X5255 Unknown 1 GTCGCCTG Unknown Unknown 1 GTGGGGAG Unknown Unknown 1 GTGGGGGA Unknown Unknown 1 GTTCCCTA Unknown Unknown 1 TAACCCGA Unknown Unknown 1 TAACCTAG X5168,X5191,X7313 Unknown 1 TAAGAAGA Unknown Unknown 1 TAAGCAGA BI7D08 Unknown 1 TAAGCTTG BI5B08 Unknown 1 TAAGGAAC BI7H05 Unknown 1 TAAGGGAG Unknown Unknown 1 TAAGTCCG Unknown Unknown 1 TAAGTTAG Unknown Unknown 1 TAATTTCC A507 Unknown 1 TACCCAGA Unknown Unknown 1 TACCTTTA Unknown Unknown 1 TACGGCAA Unknown Unknown 1 TACGGTTG X5135,X7346 Unknown 1 TACTTCGA Unknown Unknown 1 TACTTCTA Unknown Unknown 1 TAGATAAA Unknown Unknown 1 TAGCCTGA BI5B09,X5007 Unknown 1 TAGGGCCA Unknown Unknown 1 TAGGGGGG Unknown Unknown 1 TAGTAAAA Unknown Unknown 1 TAGTAAAC Unknown Unknown 1 TAGTCCGA Unknown Unknown 1 TATCCCCC Unknown Unknown 1 TATCGCCG Unknown Unknown 1 TATCTCCA BI5G04 Unknown 1 TATGTCCC Unknown Unknown 1 TATTGCTA Unknown Unknown 1 TATTTTCC Unknown Unknown 1 TCAGCCAT X5216 Unknown 1 TCAGGTTC X5225,X7256 Unknown 1 TCAGTCAG Unknown Unknown 1 TCAGTCCG X5174 Unknown 1 TCATTTCG Unknown Unknown 1 TCCCTCCC Unknown Unknown 1 TCCCTCTC Unknown Unknown 1 TCCGTTTC Unknown Unknown 1 TCTCTCCG S511 Unknown 1 TCTCTTCT Unknown Unknown 1 TCTGCCGC Unknown Unknown 1 TCTGTCTC Unknown Unknown 1 TCTTGCTA Unknown Unknown 1 TGAGAGAG Unknown Unknown 1 TGCCTGGT Unknown Unknown 1 TGGGGCAA Unknown Unknown 1 TGGGGGCG Unknown Unknown 1 TTAAAAAG Unknown Unknown 1 TTAAGAAG Unknown Unknown 1 TTAAGCCC Unknown Unknown 1 TTACAAAG Unknown Unknown 1 TTACCCAA Unknown Unknown 1 TTACCCAT Unknown Unknown 1 TTACCTAG X5156,X5191,X7325 Unknown 1 TTAGAAAG Unknown Unknown 1 TTAGAGAG BI5D03,E502,S502,[N|S|E]502 Unknown 1 TTAGCACT BI5H01 Unknown 1 TTAGCAGG Unknown Unknown 1 TTAGCCCT BI5H01 Unknown 1 TTAGGCTA X5268 Unknown 1 TTAGTCAC BI5E11 Unknown 1 TTAGTCTG BI5F03 Unknown 1 TTATCCAA Unknown Unknown 1 TTCACTCT Unknown Unknown 1 TTCCAGCT BI5F01 Unknown 1 TTCCCAGA BI5D02 Unknown 1 TTCCCCTT BI5F12 Unknown 1 TTCCTTCT X5138,X5312,X7169 Unknown 1 TTCGCCAT X5373 Unknown 1 TTCGCCTT BI5F12,X5015,X5373,X7082 Unknown 1 TTCGCTTC Unknown Unknown 1 TTCGTTTT Unknown Unknown 1 TTCTAAGG X5091,X7006 Unknown 1 TTCTTCTA Unknown Unknown 1 TTCTTGGC BI5B12 Unknown 1 TTCTTTAT Unknown Unknown 1 TTGGCAAG Unknown Unknown 1 TTGGCCTG BI5F03,X5028 Unknown 1 TTTCCAGA X5273,X7208 Unknown 1 TTTTCCAG Unknown Unknown 1 AAAAATTA Unknown Unknown 1 AAAATAAA Unknown Unknown 1 AAAATAAG Unknown Unknown 1 AAAGAGAG BI5D03,E502,S502,[N|S|E]502 Unknown 1 AAAGGGAG Unknown Unknown 1 AAAGTTTA Unknown Unknown 1 AACAGCCA X5075,X5245,X7236 Unknown 1 AACGCTTA Unknown Unknown 1 AAGATAAA Unknown Unknown 1 AAGATAAG Unknown Unknown 1 AAGATTAA Unknown Unknown 1 AATAAAAA Unknown Unknown 1 AATTCGAC BI5C02 Unknown 1 AATTTCCA BI5G04 Unknown 1 ACAGCCAG BI5E07,X5148 Unknown 1 ACGGGGCA Unknown Unknown 1 ACGGGGGA Unknown Unknown 1 ACTCCATC X5025,X7072 Unknown 1 AGACACTC Unknown Unknown 1 AGAGACAG Unknown Unknown 1 AGAGGAAG Unknown Unknown 1 AGCGCTAA BI5H01 Unknown 1 AGGAAAGA Unknown Unknown 1 AGGAGAAG BI5A05,D505 Unknown 1 AGGGGCAG BI5A05 Unknown 1 AGTGTCCA X5083 Unknown 1 AGTTTCCA Unknown Unknown 1 ATCTTCTC BI5E10 Unknown 1 ATGAATTA BI5A10 Unknown 1 ATGGGGCA Unknown Unknown 1 ATTAAAAA Unknown Unknown 1 CAAAAAAA Unknown Unknown 1 CAAACTCC Unknown Unknown 1 CAACCCCA X5183 Unknown 1 CAACTTAA Unknown Unknown 1 CAACTTTG X5150 Unknown 1 CAAGCTAC Unknown Unknown 1 CAAGCTGA BI5B08 Unknown 1 CAAGTTCC A507 Unknown 1 CACCCTTA Unknown Unknown 1 CACCGCTA X5277,X7204 Unknown 1 CACGATTC BI5F05,X5111 Unknown 1 CACTCTTA Unknown Unknown 1 CACTGTTC Unknown Unknown 1 CAGCTGCG Unknown Unknown 1 CAGCTTCG Unknown Unknown 1 CAGCTTTA Unknown Unknown 1 CCACTTCG Unknown Unknown 1 CCAGCTTC X5041 Unknown 1 CCAGGCTT BI5B09,X5007,X7090 Unknown 1 CCCCCCAC Unknown Unknown 1 CCCCCCCT Unknown Unknown 1 CCCCCTTA Unknown Unknown 1 CCCCGCTC Unknown Unknown 1 CCCGCCCT Unknown Unknown 1 CCCGCCTA Unknown Unknown 1 CCCGGCCC Unknown Unknown 1 CCCTACAC Unknown Unknown 1 CCCTCCCC Unknown Unknown 1 CCCTTCTC X5193,X7288 Unknown 1 CCGGGGAC Unknown Unknown 1 CCTGCTTA BI7B02 Unknown 1 CCTTTTCC Unknown Unknown 1 CGACACTC BI5F09 Unknown 1 CGAGCCAG Unknown Unknown 1 CGCCGGTT Unknown Unknown 1 CGGGGCAG Unknown Unknown 1 CGGGGGGA Unknown Unknown 1 CGGGGGTA Unknown Unknown 1 CTACATTG BI5B03 Unknown 1 CTACCCTC Unknown Unknown 1 CTACGGTT X5233 Unknown 1 CTCCGTCA Unknown Unknown 1 CTCTCCCC Unknown Unknown 1 GAAAAAAA Unknown Unknown 1 GAAAAACG Unknown Unknown 1 GAAAACCG Unknown Unknown 1 GAAAGACG Unknown Unknown 1 GAAAGAGG Unknown Unknown 1 GAAAGGAA Unknown Unknown 1 GAAATTTG Unknown Unknown 1 GAACAACG X5005,X7092 Unknown 1 GAACACAC Unknown Unknown 1 GAACAGAG Unknown Unknown 1 GAACGACG X5288 Unknown 1 GAACGCCG Unknown Unknown 1 GAACGGAG X5288 Unknown 1 GAACTCAC Unknown Unknown 1 GAACTCAG X5289 Unknown 1 GAACTTTT Unknown Unknown 1 GAAGAAGA BI7G04 Unknown 1 GAAGAGGA BI5F04,N712,X5140,X7341 Unknown 1 GAAGCTCG BI5D12 Unknown 1 GAAGGCAA Unknown Unknown 1 GAAGGCCG Unknown Unknown 1 GAAGGGCA X5147 Unknown 1 GAAGGGCG Unknown Unknown 1 GAATATCA Unknown Unknown 1 GAATGAAG BI7C10,X5057,X5288,X7040 Unknown 1 GAATTCCG X5255 Unknown 1 GAATTCGC D706 Unknown 1 GACCCCCA Unknown Unknown 1 GACCTTAG Unknown Unknown 1 GACGAAAA Unknown Unknown 1 GACGGGCT Unknown Unknown 1 GACGTTTC Unknown Unknown 1 GACTGATA X5031 Unknown 1 GACTTTTC Unknown Unknown 1 GAGAAAAA Unknown Unknown 1 GAGCCAGA Unknown Unknown 1 GAGGGATA Unknown Unknown 1 GAGGTTAC Unknown Unknown 1 GATACTTC Unknown Unknown 1 GATCGACA Unknown Unknown 1 GATGGTTC X5359,X7122 Unknown 1 GATTCCCT Unknown Unknown 1 GATTTTCC Unknown Unknown 1 GCAGAAAG Unknown Unknown 1 GCAGAGAG Unknown Unknown 1 GCCCTCCT Unknown Unknown 1 GCCGTTTC Unknown Unknown 1 GCCTTGTC X5123,X7358 Unknown 1 GCGCGCCC Unknown Unknown 1 GCGCTTCG Unknown Unknown 1 GCGGGAAG Unknown Unknown 1 GCGGGCCC Unknown Unknown 1 GCGGTAAC Unknown Unknown 1 GCTCTCCC Unknown Unknown 1 GCTGGCCC Unknown Unknown 1 GCTGGCTC Unknown Unknown 1 GCTTACCA BI5G11 Unknown 1 GCTTTTCC Unknown Unknown 1 GGAGAGAG Unknown Unknown 1 GGAGCCAG Unknown Unknown 1 GGCGGTTG Unknown Unknown 1 GGCTAACA Unknown Unknown 1 GGGGGAAA Unknown Unknown 1 GGGGGACT Unknown Unknown 1 GGGGGAGG Unknown Unknown 1 GGGGGCAG Unknown Unknown 1 GGGGGGAC Unknown Unknown 1 GGGGGGCG Unknown Unknown 1 GGGGGGTA Unknown Unknown 1 GGGGGTGG Unknown Unknown 1 GGGGTCAA A711 Unknown 1 GGGGTGGA Unknown Unknown 1 GTAGGCTG X5106,X7375 Unknown 1 GTAGTCAG Unknown Unknown 1 GTAGTTTG Unknown Unknown 1 GTCCTTCT X5312,X7169 Unknown 1 GTCGTTTA Unknown Unknown 1 GTCTCTCT Unknown Unknown 1 GTTAACAC Unknown Unknown 1 GTTCTTCG X5337 Unknown 1 TAAAGGAG Unknown Unknown 1 TAACTCCG Unknown Unknown 1 TAACTTTA Unknown Unknown 1 TAAGAAAA Unknown Unknown 1 TAAGCTCG BI5B08 Unknown 1 TAAGCTTC BI5B08 Unknown 1 TAAGTCAG Unknown Unknown 1 TAATGAAA BI7H05 Unknown 1 TAATTCCC Unknown Unknown 1 TAATTTCG Unknown Unknown 1 TACAGTTA Unknown Unknown 1 TACGCCTA X5015,X7082 Unknown 1 TACGGCCA Unknown Unknown 1 TACGGGAA Unknown Unknown 1 TACTGTTA Unknown Unknown 1 TAGAGCCA X5245,X7236 Unknown 1 TAGCCAGG BI7H08,X5063 Unknown 1 TAGGGACA Unknown Unknown 1 TAGGTCCA A508 Unknown 1 TATCTTCT BI5G02,E503,S503,[N|S|E]503 Unknown 1 TATGGTGA Unknown Unknown 1 TCACCCAC Unknown Unknown 1 TCACCCAG X5191 Unknown 1 TCACCCCC Unknown Unknown 1 TCACTCCC Unknown Unknown 1 TCAGAAAG Unknown Unknown 1 TCATCCAC Unknown Unknown 1 TCCGTCTA Unknown Unknown 1 TCCTGTTC Unknown Unknown 1 TCGGGGAA Unknown Unknown 1 TCGTTCCC Unknown Unknown 1 TCTCCCTA Unknown Unknown 1 TCTGCTTA Unknown Unknown 1 TCTTAAAC Unknown Unknown 1 TCTTCCGC E517,S517,[N|S|E]517 Unknown 1 TCTTTCTA Unknown Unknown 1 TCTTTGAC X5071 Unknown 1 TCTTTGCC Unknown Unknown 1 TCTTTTCG Unknown Unknown 1 TGCCAGAC Unknown Unknown 1 TGCTATTA BI5G09 Unknown 1 TGCTTCAC BI5A11 Unknown 1 TGGAAAGA Unknown Unknown 1 TGGGGCAG Unknown Unknown 1 TTAAAAAA Unknown Unknown 1 TTAAGACA Unknown Unknown 1 TTACAGAG X5156,X7325 Unknown 1 TTACTCTT Unknown Unknown 1 TTACTTGG BI5F02,BI5H08,X5376,X7105 Unknown 1 TTAGCTAA Unknown Unknown 1 TTAGTTTG BI5H08 Unknown 1 TTATTCAC BI5E11 Unknown 1 TTATTCCC Unknown Unknown 1 TTATTCCG X5255 Unknown 1 TTATTTCG Unknown Unknown 1 TTCCCCAT X5373 Unknown 1 TTCGCCCG Unknown Unknown 1 TTCGGCAA X5268 Unknown 1 TTCGGTTT Unknown Unknown 1 TTCGTTTA Unknown Unknown 1 TTCTCCTT BI5F12,BI5H07,S507,X5176,X7305,[N|S|E]507 Unknown 1 TTGACACT Unknown Unknown 1 TTGGCAGA Unknown Unknown 1 TTGGCCGA Unknown Unknown 1 TTGGGGAT Unknown Unknown 1 TTGGTCTG BI5F03 Unknown 1 TTTGCCAT X5373 Unknown 1 TTTTAATT Unknown Unknown 1 TTTTCCAC Unknown Unknown 1 ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/single_index_i5_only/expected.txt ================================================ sample_name expected_barcode_1 expected_barcode_1_name expected_barcodes_read_count guessed_barcode_1 guessed_barcode_1_name guessed_barcodes_read_count match_type Amm_RNA-Tag CAAGCTTA BI5B08 21771 alternatives_have_lower_read_counts ================================================ FILE: tests/input/TestIlluminaBarcodeHelper/single_index_i5_only/metrics.txt ================================================ ## htsjdk.samtools.metrics.StringHeader # ExtractIlluminaBarcodes BASECALLS_DIR=/2022-08-12/220729_M04004_0626_000000000-DGV59/Data/Intensities/BaseCalls OUTPUT_DIR=/tmp/tmp-illumina-illumina_demux-wfkcl506/extracted_barcodes-ohj84p5l LANE=1 READ_STRUCTURE=150T3S8B150T BARCODE_FILE=/tmp/tmp-illumina-illumina_demux-wfkcl506/barcodeData.DGV59.11s52n5o4.txt METRICS_FILE=metrics.txt MAX_MISMATCHES=0 MINIMUM_BASE_QUALITY=10 NUM_PROCESSORS=0 MIN_MISMATCH_DELTA=1 MAX_NO_CALLS=2 MINIMUM_QUALITY=2 COMPRESS_OUTPUTS=false DISTANCE_MODE=HAMMING VERBOSITY=INFO QUIET=false VALIDATION_STRINGENCY=STRICT COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json USE_JDK_DEFLATER=false USE_JDK_INFLATER=false ## htsjdk.samtools.metrics.StringHeader # Started on: Fri Aug 12 19:08:48 UTC 2022 ## METRICS CLASS picard.illumina.ExtractIlluminaBarcodes$BarcodeMetric BARCODE BARCODE_WITHOUT_DELIMITER BARCODE_NAME LIBRARY_NAME READS PF_READS PERFECT_MATCHES PF_PERFECT_MATCHES ONE_MISMATCH_MATCHES PF_ONE_MISMATCH_MATCHES PCT_MATCHES RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_PCT_MATCHES PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT PF_NORMALIZED_MATCHES TTAGCCAG TTAGCCAG Ctrl_RNA-Tag Ctrl_RNA-Tag.lCtrl_RNA-Tag 176653 153671 176653 153671 0 0 0.229165 0.760557 0.22364 0.745784 1.13097 GAACTTCG GAACTTCG LowMgCl2_RNA-Tag LowMgCl2_RNA-Tag.lLowMgCl2_RNA-Tag 226758 206053 226758 206053 0 0 0.294165 0.976277 0.299872 1 1.516485 GACGGTTA GACGGTTA Form_RNA-Tag Form_RNA-Tag.lForm_RNA-Tag 232268 200616 232268 200616 0 0 0.301313 1 0.29196 0.973614 1.47647 CAAGCTTA CAAGCTTA Amm_RNA-Tag Amm_RNA-Tag.lAmm_RNA-Tag 21771 19346 21771 19346 0 0 0.028243 0.093732 0.028155 0.093888 0.14238 TCTTTCCC TCTTTCCC misc_barcode misc_barcode.lmisc_barcode 100795 99691 100795 99691 0 0 0.130758 0.43396 0.145082 0.483812 0.733694 NNNNNNNN NNNNNNNN 12609 7759 0 0 0 0 0.016357 0.054286 0.011292 0.037655 0 ================================================ FILE: tests/input/TestIlluminaDir/empty_dir/Data/Intensities/BaseCalls/README ================================================ This is an empty mock directory just for testing ================================================ FILE: tests/input/TestImputeFromReference/contigs.sub.ebov.fasta ================================================ >c1_with_snp CTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGG CTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAA ACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCA GACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACC ATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTG CTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATA CTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGC AACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTT TTGGAACTAATGAG >c2_with_6bp_ins_and_tail_snps GCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGG CAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAG GCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACT TAGTAG CGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGAC TACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAG CCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTTTAATCTGTGGGTTG AGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCAGAATTGA G >c3_doesnt_map TGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGA GCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACA GTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAG TAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTAC TAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAG GACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCCAAAAT TACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGA >c4_too_short CAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATT GATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACC >c5_overlap_end_revcomp TGATCAATTTTGTCTGTTATGTTCTTGGTCCAATCATGTGGTTCGATACAGCAGTCCGG TCCCAAAATGTGGCATGTGCCACCCCATCGCTGCAGCAGGAAGTCAATTGCCTTACGGT TGAGGATTGAAAAGGTTCGCAGCTCAGTTGTGGCTCTCAGGAACAGCTGGAGAGATTG ================================================ FILE: tests/input/TestImputeFromReference/expected.hhv3.mummer.fasta ================================================ >HHV3-test-1 AGGCCAGCCCTCTCGCGGCCCCCTCGAGAGAGAAAAAAAAAAGCGACCCCACCTCCCCGC GCGTTTGCGGGGCGACCATCGGGGGGGATGGGATTTTTTGCCGGGAAACCCCCCCCCGCC AGCCTTTAACAAAACCCGCGCCTTTTGCGTCCACCCCTCGTTTACTGCTCGGATGGCGAC CGTGCACTACTCCCGCCGACCTGGGACCCCGCCGGTCACCCTCACGTCGTCCCCCAGCAT GGATGACGTTGCGACCCCCATCCCCTACCTACCCACATACGCCGAGGCCGTGGCAGACGC GCCCCCCCCTTACAGAAGCCGCGAGAGTCTGGTGTTCTCCCCGCCTCTTTTTCCTCACGT GGAGAACGGCACCACCCAACAGTCTTACGATTGCCTAGACTGCGCTTATGATGGAATCCA CAGACTTCAGCTGGCTTTTCTAAGAATTCGCAAATGCTGTGTACCGGCTTTTTTAATTCT TTTTGGTATTCTCACCCTTACTGCTGTCGTGGTCGCCATTGTTGCCGTTTTTCCCGAGGA ACCTCCCAACTCAACTACATGAAACTACTGTCCGGAAGGGGAAGGTATTTATTCTCGCTT GCAGCTTGTCGCGCGTGTATGCACAACAAAAGCTATATATGTCACCAAAGCCAACGTCGC CATCTGGAGTACTACACCCAGTACGTTGCATAACCTGTCCATTTGCATTTTCAGTTGCGC GGACGCCTTTCTCCGGGATCGTGGCCTTGGGACATCAACCAGTGGAATAAGAACCGCCGG TGGTCTTGCCCGAACGACGAGTGGCGACGCGTTGTTCTGCATAAGCTCTGTATGCTGATA CATAAACACAGAGTCTGTATCGCTATCAGATTCCCGAACACCTTCCGGTACCCCATACTC CGATACCCTGGACATTGCGGATCCCAAAAATATAATATTAACAGGATTTGCTTATACTTT GCTACAGCTTATATAAATTTATGTGCGATACATCTTAAGTGCATCCGTACGTTATTTATA CATTGCCGGTCACGTGAAAAGACTGTGTTACCCAATAAAGGTTCTACAAAAAATGCTTTA TTGGGTGTTTGTTTAATAGCTATTATCGTAACCCACCCCCGTAAAATCATAAAATGCATG TAATTTCTGAGACACTTGCATATGGGCATGTTCCCGCATTTATTATGGGCTCCACTCTGG TGCGTCCCAGTTTAAACGCCACCGCCGAGGAAAATCCCGCGTCAGAAACGCGATGTTTAT TACGAGTGCTTGCGGGGAGAACTGTAGACCTGCCAGGCGGAGGAACGTTACACATTACCT GTACCAAAACCTATGTAATTATTGGCAAATATAGCAAACCCGGCGAACGTCTTAGCCTTG CCCGTCTAATAGGGCGTGCAATGACGCCTGGAGGTGCAAGGACATTTATTATTTTGGCGA TGAAGGAAAAGCGATCCACAACGCTTGGGTATGAATGTGGTACGGGCTTGCATTTACTGG CTCCATCTATGGGTACATTTCTCCGCACACACGGTTTAAGTAACAGAGATCTCTGTTTAT GGCGGGGTAATATTTATGATATGCATATGCAACGTCTTATGTTTTGGGAGAATATCGCGC AAAATACCACTGAAACACCTTGTATAACGTCGACGTTAACATGCAACTTGACAGAAGACT CTGGTGAAGCCGCACTTACCACGTCAGACCGACCCACTCTCCCAACCCTAACAGCCCAAG GAAGACCAACAGTTTCCAACATTCGTGGAATATTGAAAGGATCCCCCCGTCAACAGCCGG TCTGTCACCGGGTTAGATTTGCCGAACCTACGGAGGGCGTATTGATGTAATCACTAAATA AAATACACCTTTTTTCGATTGTACGTATTTTTATTTAAATGTGTAGTTCATAGTCCGCCG ACAGCCGCTCGGGCTTTTCCCCCACATACAACATGATCGTATGCCTCGGATGCACCGGTC CAACACTCCGCCGAGAAGGGGGATTTACAATGACAGTGATACCCAATAGCCGCCAGATGT ACACCCAGCTGTCCGGACTCCAGCATCATCTGCTGAGTTGCGGCGCTGAAGGGTGCATCG CATAGGGTGTTATAATTAGCCATTTCCGGTAACAGTCGTTGGGAATTTAGGAGGCTGCAA AACGGCTGTAGGTCAACATACATTGGGGATTCAGATGGTTTATCTCGACGTCCAAGTCCA ATCAAAAAAGCGTGTAAATCATCAGCCCGGCCGCATGTTGCTCGAAGAGCACATAACCTC TTAACACCGTACAGAGGGGATGGCGTCGGTGCATGTGAGTTGGCAGGGCATGTCCACGTT GTTTCCAACGCCAGTGGCGGTATAACTTGTGTAAACGACGCCAACGGGTCAGGTTTAAGA TTCACTCGGATGGGTTGACTGCTTTCGGAAGCTCCCGTTGTATCCATTAATTAAACGTTC GGTACACGTCTGGTGTGTGTTTTACCCGAATCAGAGACGGAATTGCAAAGATATTGGTTT GAAAGCAATGTAATCCCGCCCATATATCCCCAACGTCGCCTTAAAAACTCCCACAATATT ACATTTTTATTAGTCTTTTATTAATATAGAATCACATAAACAATTGATAAAATCAAGGGG TGGTGTATAATGATTAAAAATATAAATTGATATGTTTTACAAGCATGAAATAGGTATTTA CTATTCTAACAGGTAAATATGCTTAATGATTAAAAATACAAATTAGTATGTTTTGACAAG CATGAAAAAGGTATTTTTTATTTTAGCAGTTAAAGGTACTACACTTAAAATATTTACCGT ATGGACGGGCGTCAGAAAGATGCCCGGCCCAAGTTGAGAGGGTACATTCAACACGACCAC ACTCGCGTTGGTGGGTGATTAGGGCCTCTAAAACACCGGCCAGACATGACCCGGGTGTAT ATTCTTGTAACACTTGAACGTTACAACTGATATCATCATATTCCACAAATTTAGAGCCAC GGACAACTATATTAGCAATGCGGGCAATCATAACAAACATATAAGTAGTAATACACGTGA TATCACTAAAACGTTGCTGGCGCAACAGTTCGGGGAGAGTACGAGACCCCAAATCGTTGT CCCTGTTTAGAAGAAGACATCTTACAAAAGGCCCCAGCTTTAACTTTAAATTCTCCAAAA GTGACTTCGAGGTTGCAACAATGGGATTATTTGTGTAGATGGGCAAGTTTTTTGCCGCTA ACATTTTAATCCACGTTAACAGTTCATCCGCAGACTCCAACGCTTCAATCAAAGATTCTC CACGTATGACTCTCTCACGCAACGCGCGGGCAATACGTGAGTCCATTTTATATGACTCAA AGGTACGATAAAGTTCATGTCCGTACAACATCAACTCCGGCCAAGATGTGTTTTGTTTTA TCCCCGGAAAACATCCACCGGAAGCCCATGAATCACCCTCTTGTATTGTGGCATATCGGA CTACCAGTTTTTCAATTGTTTCATCTAAATGGCGTACCGAGTCAATGGTCACGCTGGCTC CCGCGGTGGAGACGACTTCAATAGCACGGCCCGTAATTCGATCGACCGGGATATCATACT CTTTTCGAATACGCTCTCGGCGGGCGTCTCTCTTGGAAAATCGCAACCTGTACGATTCGT CATGTGTCTGATCATTTCTTTCTCCCGTGGTCATTGCAGGAGGCGTTGTAGGACGCCGTC TTCGATTTGACAGGGATCGATCACGGTGTTTTCTTGAACTTTGGGTGTTATAAGATCTGG ATGATCGTCGATGTCCCCGTTCGATGCGTGCATATCCAGTCTCCACGTCTCTTCCTCCAT GATGGTTTGAATCGGGTAATACAACAACCAAAGTTTTCGGGCGATTGTGGTGGTAGCTTT CACGCCTTCCGTGCCTTCGTTTGGAATACCGTGGATTATATGCTGTATCTGCAGTACGCT CCACATACACAGTTCTAGACGTTGTGGAGTCCTCGCCTGGAGTGGAGCCAATAGCTTCAT CATTTGCCCAATCGGTGACTTCCAATGCAAAGTCATCCGAAGGTTCGTCTGGTAGCAAAT TCATAAAGTCTTCACAAATAGTAGACACGTCTGGGTCGGTTGGAATTGAAGCAGAGGCCA TGGCTGCAAAATATCTGACAATTGCGTGTTTGCAGTTGCCTGTATCTTCCGCCAATGTTG TAGAATTTATAGGCTCACCCAACCCCGCAATGGGCGTGTTTAGTCACATGATTAATGTTT CTGGGAGTTTTCACTTTCCCCAAACAAGCTTACCTGCACCCTTTGTTCGTAATGCATAAA AATAACCACTGCTATAGCAAATATGACGATATAAAAACATTTTATAGCAAGGCCGGACAT TACTGTAGCACAACATGTTGTGCATATACCACGTATTCCCCCCGTATTGATATGATTTAA ATGATTATCCTTGGTTGGTTTTGGTCTAACATAAGATATAAGCTCTACTATAGCGAGCGT GCATACAACAACCCAGGCCAGAATCCGAATGTATGTGGGGTATAATAACGCGCATGGTGT ATATGCAACGCCAAGCGTTAAAAGCACAATACATCCAGATGATATATGAGCGATAACCTC CAAAAGCATCAATAACGTAACACCTTTATGCATATATAAAAAACTTATAGGGTCAGCATT AAATACTTTACTCATACCATCCCGTCGCATGGAAACATCACATAACAACCTTGCCAACTT TGTATATGGGTAACCAAGAAGAATGTTCGAAATAACCCGTGTTACGTAATTCAGTGAATA TGATGTGGGGGATATTAACTCACAGGATGATCGGAATGGCCCAAACATACGACGTATTCG TCGAAATTGTAAATACATACCATATACAAACCATGCAAAAAAAATCATTTTTAGCTGCAC GCACCAAAAATAAGCGTGACAATTACGTGTTCCCAGAACAATTCGAATTTTGTCATGCAA AGGTGTAGAAATAGCGGTTTTTACCATAGTATCTCCTGATAATAGATTTTCCCGGCAGCT GTAATCGTATCCAGATAGGCCATCCAAAAACGTTGAGTGGTTTACAAACGTTACATATAT AAGAGAGTTGTTATAAGACCCCCATACAACCGGTCCACCATTAATCACCGTGGTTGCATA CACACACTCATGTTCAAACTTTACACGAGCGGTATACCATAGGGTAAAAACAGCATGTCC GCTAAGTAGACACATAATTATAAAATGTTCTGTCTTGATTCCTAAAGCCTGCATGACCCG TGGAAGATGGCAATTCAAGCACGATGTAGTATCACACGGTTGGTGTTAACTCGAAGTTAA ATTTGGATAATTAGGTACTTCTAGAGTAAAGATTGTATGCATGCGATTGCTATCGCACTT TGTAGCAAAACATTGTTGTGCAAGCGAAATACACAAACGGTTGTGATGATCCACTCGCAG AGACACAAATGTCCGGGGAGCCGTTCTTCCTCCGCGATGGGGATATCGAAGACAAGTGAA CCCTTTTGTTCCGCATATGAGCTGAAATAACACCCAGTCCCTTTTGATGGCGATACACTT TGATGATGTTAAGGTATATTCGCGATCACGCCCGGGGAAATGAACAGCAATATGCTCCAC AATAGATTCTAATATTGTGCTGTCGACAAAGGCCTCCAGTGTAAATGCGTCCAGACAAGT TACCCCGCGCTCTTTTAGAGCCTTTGTTAAAGATATTTGCGGGGAGCTAAATATTTGTTT ATTACGCGCAACCTTACGTTCAAAAAACTCTGCGTATTCCCCCCCAAGGTTATGTAAAAT AAATTGCACTGGAACATTCGACTGCGGTCTTGAATGAAAATGAAAGTTTGCCGGGTTTCT ATGTGATGTCACAAACGCTAATATATCAATACACTGCTCAGGTACAACATAAAATGGGAG TAGTTGTCCAACCGCCGTCCCTGTGGTTGTTACTTTGGAGAAAAAAGGCAGTCTTAAACT ATGTCCGTGGCTATAAACACCAGTATCTATAAACGAAAAGTCCCGTAAATACGGACCAAT ATATTCAACAAATTCCCGTTCCAGCAACACCGCTTGTTGTAATATTTGTGCAAACCCCTT TAAAGTGGAAGACCCCACTAACGCATAGGGATTTGGGATTGGTACGCATACCCTGAAACC TATTTTCTCTTTACAGTTACAGGGTAGAGTTTCATGCAAGTTTTCATTGTTTGATACATC GGCGTGTGTATGGACTTCAGACGTTGTCTGTGTATCAAAAAACCATACATCCTCTGTATA ATTCTCTTCTACACACGTGTATAATTCGCCATTTTCTATGTAAAAATCGATGTCAGAATG GCTGGTTATATCCAATAAATTATCATCATCCAACACCTCAACGGTAGGTTCAGGACATGC AGTTTTATAAAAATAACATGGGTCTTTGTTAGGGTTTACCACGGCCTTTGGAAAAAGTAA TTGCATGGCCGTTAAAATACCATGACGAAATGCTCGCATGCCGGCATGTAAAATACCCAA TGGGATGGGTTTTCTTATATGAAAGTCTACATCAAGTATGAGGTTTGTGATTATAAGATT TGTATTAAATAGCTCATTCCTGTTTATATAAAGCTGATCTTTGGGTATGTTAGATGAAAT TTTAGAAACGTTTTTAACAGACGTAGATAATAGTAAAGTCAACTGCATATCTCGTAGTGA AGCGGCAACAAAATTACATGGATTAATTTGTTTAAGGTCCTCCGCAATTAATCGAGCCTC GTGCGGTAAAGTGTAACGGTTTGTTATTGATGACCACGTATCATTAGCAATAACAGCAAA TGCTTGGGCACCTTGAGGCAAGGCTACCCGATATACAGGCATTGGTCCAGTTACCTCAGA ATGGCCGATGAGGGCTTCTAATGGAGTTTTATAACTCAGGATGGATACATCATGTGTGGC TATCCCAGTGGCAGCAGAGAAAAACAGTAATAGTTTTGTAATCCCCGGGCTCGTATCAAA ACCAGTACGACCACTTTGGTTAGGTGTATCGTTTGCAAAGTTGGCTGCTCGTAACGCCTC CGCGGAAACAACCGAATCCTCAAAATTAGACAATTCGTCAAAACCGGGTGGATTTGAGGG AATAGTGGAGGACCATCCATATGGACTAAATTGTTTTTCAATGTTTTCCACACGACGAGT TAGCGTTGTAGCTAGGTCACATACGCCTATAAACTTGCTAGGTTTTGCGGCATACGTAAG ACTTAAAGTATATGTTTTAGTAATTGTATATTTATGTCCAATCTCAGGTCCAAGTTCAGT GACATCACAAATTACGTTCTTTTTTATATAGTCACGCATGTTGAGACGAGAACGTACATG ATTAAAAAAATTAGCAGTAGCTCTTTTTCCCAGGTTGGATGATTTTAAGAGGACCGGTTT ATTCACAAAATCTGAGTATGTAACCGCTTGTAGGTGGTCTGCGATCTGTTTCCGATTGAA ACATTCAAAATGTGCCAGATAAATATAATCAACAAATTCACGGTCTGGAACTTTAAGGCC TTTTCTATCGTTGGTAATATACTCCGATACTGCGTGTATTTCCGTTGTGTCTGTATGTAT TCGCTGTAAAATGTACGATAGAGCATTTTTGGCTGTCAAACCTCGTGTATATGTTGAGGA ACAACAAAACATGGAAAGTTTATCAAAAGACAACAAGTCCGAAATATTGTACCCACTACA ATTAGGTAATGCCGGGACTTGGTAAGTTAAAAACAAATCTTTAATTGCCTGTAAGTCATA TAAGGGGGTTTCCAACGTATTGTAACTTGTGTCCGTTTGTAACAAGTAATAGCGTGTAGC CAACACTAGCGTTTTTTCAGAGGGTCCAAATCGAACAATATACCAAAACGGCGAGCATCC ATACCCCCAGTAGAGTCGTCGATATGCAGCCAATACTTGACGTTCGTAATGGGCATATAA TGATGTTAGCTCCTGACGACCAACGGATTTTTTAACTAACTTGCAGAGTGTTGCCTCTGT GATGCATAGGCCGTTGTCCGATAATCCCTTTCGGTTTAAATGGTGTGTTGTTACCATCAG AGTTTGTATAACTTCCGAGTGAATGTCAAACGTCTCCGATATACATAGGGTATCAGATAT TATATGCGGATTTAGGGGTGCTCCATACCATAACGCCTTATATAAAGCTTTAAAATCAGT TTGGGTTTTAAAACAACAAAAAAATATAGGCCAGACCCGGGATCGTACATCTCCAGTTGA AAATCCACCAATTAAATAAAAAATAACGTTGACGTCCCTACTACAAAATAAATGCATTAT TTGGTTTTCTTCATCGTTTTCAGTTACTTCACGTGGGCGTTTAGTTGGGATTACTTGCGT GATCTCTTCCCTCCCATTTTTGACAAAGACGTCATCTAAGTCGGGAGTCCAAGTATAACT CACCACATACAGAGGTTCTGTGCTTATCTGCCCGGTAAGCAACAACAGCGAGTGGGAGAT TGCACATCCCTTTGTGGCAAATAATAACCGAATCGTCGGTTTGGAGGATTTATCCATAGT TCAATACGTTGGAAAGCCAGTCAATCATGCAGACGGTGTGTGCCAGCTTATGTGGATATG CTCGAATACCAACTGAAGAGCCATCTTATGAAGAGGTGCGTGTAAACACGCACCCCCAAG GAGCCGCCCTGCTCCGCCTCCAAGAGGCTTTAACCGCTGTGAATGGATTATTGCCTGCAC CTCTAACGTTAGAAGACGTAGTCGCTTCTGCAGATAATACCCGTCGTTTGGTCCGCGCCC AGGCTTTGGCGCGAACTTACGCTGCATGTTCTCGTAACATTGAATGTTTAAAACAGCACC ATTTTACTGAAGATAACCCCGGTCTTAACGCCGTGGTCCGTTCACACATGGAAAACTCAA AACGGCTTGCTGATATGTGTTTAGCTGCAATTACCCATTTGTATTTATCGGTTGGCGCGG TGGATGTTACTACGGATGATATTGTCGATCAAACCCTGAGAATGACCGCTGAAAGTGAAG TGGTCATGTCTGATGTTGTTCTTTTGGAAAAAACTCTTGGGGTCGTTGCTAAACCTCAGG CATCGTTTGATGTTTCCCACAACCATGAATTATCTATAGCTAAAGGGGAAAATGTGGGTT TAAAAACATCACCTATTAAATCGGAGGCGACACAATTATCTGAAATTAAACCCCCACTTA TAGAAGTATCGGATAATAACACATCTAACCTAACAAAAAAAACGTATCCGACAGAAACTC TTCAGCCCGTGTTGACCCCAAAACAGACGCAAGATGTACAACGCACAACCCCCGCGATCA AGAAATCCCATGTTATGCTTGTATAAATATTGAAATAAAAACTAAAAACGTTTCTGGTGT ATGTTTTTATTTTGTATATAAAATTAAAACATTGCTGGCTGGCGTGGTTATTACATTTAA TGTTTTAGTAGAAAATCGACATCGTTTGTTTCTTTATCAGTTGAACCAAATCCACGCGTT CCCCGTTCGCTGGGTGTGGCTATTAGATCTAACGTTTTAGTAAAATACCATTGTACACCC GGTATGCCACATTTACCGCGGATAGCATAAGGAAATGCAATATTACTTAAAACGTTGTGT TTTAAGTGTATTTGGGTGTTGTGATCTATTAACAGGACCTGTGCAAGACGATCTCCCGTT TTTATACGTATGTCATCACCCGTGAGATTATATACGTAGAATTTACAGTGTTCTCCTGCA GGCCATGCCGTTGGACACACGATAATGCCTGATCGGCTTTTCGATGATCTTCCAAAAATA TAAGCGTTTATACTCGGATGTTGTAAGTCCCAGTCTCTTATAATCGGTAAGACAATTTTT ATAAATTCATTCCTTTTTAAATATAGGTTATATGGTACACAAATATCATATCCCGCGTCT TCTTGGCGTTTTGGATTGATGATATGTTTGTAGGTTAAGGGAACATCGATATGGTATTCT GCAGAATCCCTATGTAAAGGTTGCCCCTGCTGTACCGTGGAAATATCAGCAAATTCAGGT ATAACGGGTTTTTCATAATTTGACGGCGAGTTTGATAAGGGTTGAACTTGTATCGATTTA AAAATTGGATCCAGATGTTTAAGAACGTTTTTTGGGAGAAGGCGACTTTGTCTTAATTTT ACCGGGAACAAGTAGATTGTTAAATGTCCGGGTAAAATAACGGTTACTCCTGGCCGGTAA TACAAAAGGGCTGAAATTACTCCTCTGTAACCCGCATCAATAACTCCGTTGGCGACAAAA AAATTGTCTTCATCAGCAAGGGCAGTATCTTTGCATTGAATTAACAACAGTGCGTATTCA TTGGGAGGCGCCGACTTAACCAACAGCTCCAACTGCTGCATATAAAAACCGCCCCGTGTT ACAGATTTTTCAGATGGCAGTTCGAGTTTCTTGTGGTTCCGGAGTAACAACGGTTGATGT CGACTTACTTTATCGTCTAACACGCATTGCAGCGTATCTGCACATTCAGGTTGAACTTCT ATTAAAATTGTATCTTTTAAACACCGATTCGGAATAGTTTGGCTACAAAACATATCACCT GTATTTACTGCCGTTTCCAAGATGGGATCAATTACCGCTTCGTTCATATTAATAACGATG CAAATTTTATTTTTTTGTGAAGACAGCAGTGGGGAGCCAAACTTTGCAGAACGGAATTTT TGGCATGCCAGCTGTTCGGCTCGTGGAGTTTATATCGACGGATCAATGATCACCACCCTT TTCTTCTACGCATCCCTGTTGGGGGTGTGTGTAGCCCTTATTTCGTTAGCTTATCATGCG TGTTTCCGGTTATTTACTCGTTCTGTATTACGCAGCACGTGGTAAACCCGTTTGCCTATA AAAGGGGCAGGCGTGTATAAGAGGGTCCCTGTTTAATACGCGGTCTGCCGTGTTTGGATA TTTCACGACCCTATCGTTTATTTACGTAATGGCATCTTCCGACGGTGACAGACTTTGTCG CTCTAATGCAGTGCGTCGTAAAACAACGCCTAGTTATTCCGGACAATATCGAACCGCGCG GCGAAGTGTGGTCGTAGGACCCCCCGATGATTCAGACGACTCGTTGGGTTACATTACCAC AGTTGGGGCCGATTCTCCTTCTCCAGTGTACGCGGATCTTTATTTTGAACATAAAAATAC GACCCCTCGCGTACATCAACCAAACGACTCCAGCGGATCGGAAGATGACTTTGAAGACAT CGATGAAGTAGTGGCCGCCTTTCGGGAGGCCCGTTTGAGACATGAACTGGTTGAAGATGC TGTATATGAAAACCCGCTAAGTGTAGAAAAACCATCTAGATCTTTTACTAAAAATGCGGC GGTTAAACCTAAATTAGAGGATTCACCGAAGCGAGCTCCCCCGGGAGCGGGCGCAATTGC CAGCGGGAGACCAATTTCCTTCAGCACTGCACCAAAAACCGCAACAAGCTCGTGGTGCGG TCCTACGCCATCATATAACAAACGCGTCTTTTGTGAAGCGGTCCGGCGCGTAGCCGCCAT GCAGGCACAAAAGGCTGCCGAAGCGGCTTGGAATAGTAATCCCCCAAGGAATAACGCCGA ATTAGACCGTTTGTTAACCGGAGCCGTTATTCGTATTACGGTGCATGAGGGTTTAAATTT AATACAAGCCGCTAATGAAGCAGAACTAGGTGAAGGAGCATCGGTATCCAAACGTGGACA TAATCGAAAAACTGGAGATTTACAGGGGGGCATGGGTAATGAACCTATGTACGCACAAGT TCGTAAGCCAAAAAGTCGAACGGATACACAAACGACTGGGCGTATAACTAATCGAAGTAG GGCCCGTTCGGCATCAAGAACTGATGCGCGAAAATAGGGATATAATTACGCAGTAACGGT TTACCCGGTATTATGTATAATAAATAAACGTATAAAAGACAGTCGTGGTTTGTGTTTATT ATAAATGTGTATTATATGTCACATATTATAAACTGTTTAAATAGTACCACGTGGTATTAT GAACAGTTTATAATCAGTTGCTACCAAACAAACCCCATTAGACGGCGGGTTTTGATAAAG GGAATCGCTTATTTAAACTAAAGATTTTACTCTATAAGTATGGAGTGTAATTTAGGAACC GAACATCATAGTACAGATACGTGGAATCGTAGTAAAACGGAACAAGCGGTTGTGGACGCA TTTGATGAATCGTTGTTTGGTGATGTAGCATCGGATATTGGATCCGAAACGTCGTTATAT TCACATGCAGTTAAAACTGCTCCGTCTCCGCCTTGGGTAGCTAGCCCTAAAATTTTATAT CAACAGTTAATACGGGATCTTGATTTTTCAGAAGGGCCGCGTTTACTATCATGTCTTGAA ACCTGGAACGAGGATTTATTCTCATGTTTTCCTATTAATGAGGACCTATATTCCGATATG ATGGTTTTATCCCCGGATCCAGATGACGTTATCTCAACCGTTTCAACCAAAGACCATGTT GAAATGTTTAATTTAACAACCCGGGGTTCCGTTCGATTGCCTAGTCCACCAAAGCAACCG ACGGGGCTTCCAGCTTACGTTCAGGAGGTCCAGGATTCGTTTACCGTAGAACTACGCGCC CGGGAAGAAGCATACACAAAACTACTAGTTACTTATTGTAAATCGATTATACGTTATCTC CAAGGAACGGCGAAAAGGACGACAATAGGTCTTAATATACAAAACCCTGACCAGAAAGCT TACACGCAACTCAGGCAAAGTATTCTACTTAGATATTATCGTGAGGTGGCAAGTTTGGCG CGTCTTTTGTACCTACATTTATATTTAACCGTAACGCGTGAATTTTCCTGGCGTTTGTAC GCCAGTCAATCTGCACACCCGGACGTGTTTGCGGCTTTAAAATTCACCTGGACCGAACGT CGACAGTTCACGTGTGCGTTTCATCCTGTATTATGCAACCACGGCATTGTGTTATTAGAA GGGAAACCACTAACAGCGTCTGCCTTGAGGGAAATAAATTACCGCCGCCGAGAACTGGGA CTGCCTCTAGTTAGATGTGGTCTTGTTGAAGAAAACAAATCTCCGTTGGTTCAACAACCC TCATTTTCGGTTCATTTACCACGGTCGGTGGGTTTTCTTACCCACCACATTAAGCGTAAG TTAGACGCATATGCGGTCAAACATCCTCAAGAACCGAGACATGTACGAGCGGATCATCCT TACGCAAAAGTTGTTGAAAATAGAAACTACGGTAGTAGCATCGAAGCTATGATTTTAGCA CCTCCGTCCCCATCCGAGATCCTGCCGGGGGACCCACCACGCCCACCCACGTGTGGGTTT TTAACGCGTTAAACGTCATTGGGGTAGAGGGTGTAAATAAATTACGAAAACGTGCATGCG TTTTTTATTTTTACAATGCGCCGTATATGGTATGTCTGTCATGTGCTCTAAAGTCCCATA TATAAAAGAAGCCCCAACGAGTGTATGCGTATTGCGTACCGCGACCCTGGGATGTTTTAC AGGCGCGTTTGTTTGTCTCGGTTATAAGTATGCAGTCGGGTCATTATAACCGGAGGCAAT CCCGCCGACAGCGGATATCGTCTAATACCACAGACTCCCCCCGTCACACACACGGAACAC GTTATCGGTCAACCAATTGGTATACACACCCACCCCAGATATTGTCCAATTCAGAAACAT TAGTTGCGGTTCAAGAACTACTGAACTCCGAGATGGATCAGGACAGCAGTTCTGACGCAT CGGATGATTTTCCGGGATACGCCTTACATCATTCTACATATAATGGATCCGAACAAAATA CATCAACTTCCAGACATGAAAATCGCATATTTAAATTAACGGAGAGGGAAGCTAATGAGG AAATCAACATCAATACGGACGCGATCGACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGG AGGAGGACGCGATCGACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGACGCGA TTGACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGACGCGATTGACGACGAGG GAGAGGCGGAGGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGG ACGCGATCGACGACGAGGGAGAGGCGGAGGAGGACGCGGCGGAGGAGGACGCGATCGACG ACGAGGGAGAGGCGGAGGAGGATTATTTTTCTGTAAGTCAAGTTTGCAGTCGAGACGCGG ATGAGGTTTATTTTACGTTAGACCCGGAAATAAGTTACAGTACCGATCTTCGCATTGCAA AGGTTATGGAGCCTGCGGTATCAAAGGAACTTAATGTATCAAAACGTTGCGTTGAACCTG TTACCCTAACAGGCTCTATGTTAGCGCATAATGGGTTTGATGAGTCCTGGTTTGCTATGC GCGAATGTACCCGTCGCGAATATATTACGGTCCAAGGATTATACGACCCAATTCATTTAC GGTATCAGTTTGATACTTCCCGGATGACACCCCCACAGATTTTGAGAACTATACCAGCCC TTCCTAACATGACACTTGGTGAACTTTTATTGATTTTTCCTATTGAATTTATGGCCCAGC CAATTTCTATAGAACGTATTTTAGTTGAAGATGTATTTTTAGATAGGCGGGCTTCCAGTA AAACACATAAATACGGCCCGCGTTGGAATTCCGTCTACGCACTTCCATATAATGCGGGTA AAATGTATGTACAACACATTCCTGGGTTTTATGACGTGTCCTTACGTGCTGTGGGCCAAG GAACGGCCATTTGGCATCACATGATATTATCCACAGCAGCATGCGCTATTTCTAATCGCA TTTCACATGGAGATGGATTAGGATTTTTGTTAGACGCGGCAATTCGTATTAGCGCAAACT GTATTTTTTTGGGACGTAACGATAATTTTGGCGTGGGGGATCCATGTTGGTTAGAAGACC ATCTTGCCGGATTACCACGAGAAGCCGTACCCGACGTACTCCAAGTGACACAGTTGGTTT TGCCAAATCGGGGTCCAACGGTTGCCATTATGCGTGGTTTTTTTGGGGCGTTGGCATATT GGCCCGAACTAAGAATTGCTATAAGTGAACCATCTACATCTTTGGTGCGATATGCTACCG GTCACATGGAACTTGCCGAATGGTTTTTATTTTCACGTACACATAGTTTAAAGCCACAAT TTACCCCAACGGAACGGGAAATGTTAGCGTCATTTTTTACGTTGTATGTTACTCTTGGTG GAGGAATGTTGAACTGGATCTGTAGAGCAACTGCAATGTATTTAGCTGCTCCTTACCATT CCCGTTCGGCTTACATCGCGGTCTGTGAATCTCTGCCCTATTACTATATCCCGGTTAATA GTGACCTGTTATGTGATTTAGAGGTATTACTGTTAGGCGAGGTCGACCTCCCAACTGTTT GTGAATCCTACGCAACTATTGCACACGAATTAACCGGATATGAGGCTGTTCGCACAGCAG CCACAAATTTTATGATAGAGTTTGCCGATTGTTATAAGGAAAGTGAGACCGATTTAATGG TAAGCGCGTACCTGGGGGCCGTTTTATTGTTACAACGGGTGTTGGGTCATGCAAATCTTC TTTTGTTGCTTCTCTCCGGTGCTGCGTTGTACGGAGGATGTTCAATTTACATCCCCCGAG GTATTTTAGATGCATATAATACTTTAATGTTGGCAGCAAGTCCTCTTTACGCTCACCAAA CTTTAACATCCTTTTGGAAAGACCGCGATGATGCAATGCAAACTTTGGGGATTCGACCGA CAACGGACGTTTTACCCAAAGAGCAAGACAGGATAGTTCAGGCATCACCTATAGAGATGA ACTTCCGTTTTGTGGGATTGGAGACCATCTATCCCCGAGAACAGCCCATTCCCTCCGTGG ACCTAGCCGAAAATCTTATGCAATACAGGAATGAAATTCTGGGTTTGGATTGGAAAAGCG TAGCCATGCATTTACTACGAAAATATTAAGGGTTGTGATTTTTTTCATTAGGATGAAAAG AACGTTTCCTAGCCACACCCACAAAGGAGTTTGTAAAATAAAATCTCTGTTTAGACCTTA AAATTTGTTGTGTGTGTTGTGTGGGGGGTCCGTGAGGATCGACCTTTACAAGATATAATT TGTCCATATCGCAATGTTTTCTCGGTTTGCGCGTTCCTTTTCCAGCGATGATAGAACGCG TAAATCTTATGATGGTAGTTACCAAAGTTTTAATGCCGGCGAACGTGATTTGCCCACACC TACCCGGGACTGGTGTTCTATTTCCCAACGCATAACCAGCGAGCGCGTGAGGGATGGATG TCTTATTCCAACGCCCGGCGAGGCTTTGGAGACGGCGGTAAAGGCTTTATCTGAAAAGAC CGACAGCCTAACATCGCCGGTTTTACAAAGTACCGAAAGACACAGTGTTCTGCTTGGATT ACACCATAATAATGTTCCTGAATCGTTGGTGGTCTCGTGTATGTCTAACGATGTTCATGA CGGGTTTATGCAGCGTTATATGGAAACAATTCAAAGATGTTTGGATGACCTGAAACTTTC TGGGGATGGACTTTGGTGGGTTTATGAAAATACATATTGGCAGTATCTCAAATACACCAC AGGAGCCGAGGTACCGGTGACTTCAGAGAAGGTAAATAAAAAGTCTAAATCCACGGTTTT GTTGTTTTCATCCGTAGTTGCCAATAAACCAATATCCAGACATCCTTTTAAATCTAAAGT TATAAATTCGGATTACCGGGGAATATGTCAGGAGCTACGTGAGGCGTTAGGAGCTGTGCA AAAGTATATGTATTTTATGCGTCCAGATGATCCTACAAACCCCAGCCCGGATACAAGAAT ACGTGTACAAGAAATTGCGGCTTACACGGCTACTGGCTACGGGTGGATGTTATGGTTCTT GGACGTTGTGGACGCCAGGGTATGTCGCCATCTCAAACTTCAATTTCGACGGATTCGAGG GCCGCGCGCGTCTGTTATTCCAGATGATTTGCTTAGACGACATTTAAAAACGGGTCCTGC GGTCTCAGCGGGCACAGGAGTTGCGTTTATTTTAGCAGCAACAACTGCCAGCGCTCTTAC TGCGCTTTTGCGTATTAGTGTATTATGGCGAAAGGAAGAGTGGCGGGATGGTTTAAATGG AACCGCAGCTGCAATTGTTGCGGCGGTTGAACTTATTACGCTTTTGCACCACCATTTTCA ATACTTAATTAATATGATGCTTATTGGATATGCATGTTGGGGGGATGGGGGATTAAACGA TCCTTATATATTAAAGGCGCTACGCGCCCAGGGACGGTTTTTATATTTTGCGGGTCAGTT GGTTAGAACAATGTCAACACACAGTTGGGTTGTGTTAGAGACCAGCACCCATATGTGGTT TTCCCGGGCCGTGGCGCAGAGTATTTTAGCACATGGGGGTAAACCCACAAAGTATTATGC TCAGGTTCTTGCCGCCAGTAAACGGTATACTCCGTTACATTTAAGACGTATATCCGAACC ATCGAGTGTGTCTGATCAGCCGTATATTCGTTTTAATCGACTGGGATCTCCAATAGGGAC AGGTATAGGGAATTTGGAATGTGTCTGTTTAACGGGAAATTATTTATCTGACGACGTAAA TGCAAGTTCGCATGTAATTAATACGGAAGCACCGTTAAACAGTATAGCACCCGATACAAA TAGACAGCGGACTTCTCGCGTTTTAGTTCGTCCAGACACGGGTTTGGATGTAACTGTCCG AAAAAACCACTGTCTGGACATAGGCCATACGGACGGTAGTCCAGTTGACCCAACGTATCC TGATCATTACACCCGGATAAAGGCGGAATATGAAGGTCCGGTTCGGGATGAATCAAACAC AATGTTTGACCAAAGATCGGATTTACGTCACATAGAAACCCAAGCATCTTTAAATGATCA CGTATATGAAAATATACCACCCAAGGAAGTGGGTTTTAACTCATCTTCAGACCCGGATGT GGATAGCCTTAACGGGTACACCTCCGGAGACATGCATACAGACGATGACTTATCACCAGA TTTTATACCCAACGACGTTCCCGTTAGATGTAAAACCACGGTTACGTTTAGGAAAAATAC GCCTAAGAGTCATCATTAAGTACAGCGGTTAATAGATAGTTATGGACTAGGCACTTTGGC GGTCATTTCCACAACCAGGTTAAAATTGGGGGATTTGGGAGAAAATAGTCTATTGCGTAT TTTCTGTTCAATAATTGGACTGCGTTATTTAAAGGTCTGATTGGTTGATTGGGTTATAAA AGGAATTACTCCTTTAAATTTTACTTAATGTACCCACAATATCAAGTGGTCGTTTGTATT TAACGATTATTACCGGTACCATGGGAGACTTGTCATGTTGGACAAAAGTGCCGGGTTTTA CGTTAACCGGCGAACTTCAGTACTTAAAACAAGTGGATGATATTTTAAGGTATGGAGTTC GGAAACGCGATCGAACAGGAATCGGAACGTTATCTTTATTTGGAATGCAAGCTCGATACA ATTTGCGAAATGAATTTCCTCTTTTAACTACAAAGCGTGTTTTTTGGAGGGCCGTCGTGG AAGAGTTGTTATGGTTTATCCGCGGGTCAACCGATTCCAAAGAACTCGCCGCTAAAGATA TACACATATGGGATATATACGGATCGAGCAAATTTCTAAATAGGAATGGCTTCCATAAAA GACACACGGGGGACCTTGGCCCCATTTACGGCTTCCAGTGGAGACATTTTGGAGCGGAAT ATAAAGACTGTCAATCAAACTATTTACAGCAAGGAATCGATCAGCTGCAAACTGTTATAG ATACAATTAAAACAAACCCAGAAAGCCGACGAATGATTATATCGTCTTGGAATCCAAAGG ATATCCCCTTAATGGTACTACCTCCATGTCACACGTTATGTCAGTTTTACGTTGCAAACG GTGAATTATCCTGCCAAGTATACCAGAGATCGGGGGATATGGGCCTTGGGGTACCGTTCA ACATTGCTGGATATGCACTTCTTACCTACATAGTAGCGCATGTTACAGGACTTAAAACCG GAGATTTAATTCATACAATGGGGGATGCACATATTTACTTGAATCATATAGATGCTTTAA AAGTGCAGCTAGCTCGATCCCCAAAACCTTTTCCTTGCCTTAAAATTATTCGAAATGTAA CAGATATAAACGACTTTAAATGGGACGATTTTCAGCTTGATGGATATAATCCACACCCCC CCCTAAAAATGGAAATGGCTCTTTAATGGATTTTTAAATGTTGTCAAGACAGTAGATGTG TTGCGAATGTAATAAAATGATATACACAGACGCGTTTGGTTGGTTTCTGTTTATGAACAG CAACGGATGCATAGGGTTGCGATAACTGCGATAAGACCCAATGTCCCAAGGATAGATATC ACACCAATTATAACTGCTACAACGGAAAATGTAGTGGCGTAGGTAGATGCATCGTAGGTA TAAACGGCCGAAAACGGAGGGAATTTTTTAGGGTAACCATCTAGATGACACGAATAGGTG ATAGGTCCGTCGAGTTCCGATGTTGGACAAGAACTTTGCATGTTTACAAACCGTTTGTTT TGATCACACACCCCAGTAATCTCACTGTTTTCGTGGTTAATGGGAGAATCGTTAACCCAC CATACGAAATGTACAACGCCACGTGGCACACATTTTGCCGTACATACTATGTGTCCATCA ATAATACCTATAGACACGTTGGGAAATGGATAGACGTCAGGGGTAACGACAGCAGAATAT TTCATATTAGAGACGCCATCCCGAATCCATAAAACATTACATTGGATGGCTGGGGGTGGG TAATCCATTTGTTTTTGCTGTGGAATTCGTACCGCCGAAACATAACTAAATAATCCATTG GCATATTCTTGTATTGCATCGGTTATAAAATTTTTTCCGATGTTACCAAACCTTGAAGTC CACCGAACACGTACCGAGTGCGGTGGATAATACTTTGATACGTTACAGTAGGCTGTGTAT GTCTGTCCGGTTAAGACTGGATCGCCGACAACGGTAATATTTGGACGATAATACGTTGTA ACTGTAATACTGTGTTCCGATATGACGTTCTTAGTTTTTGTATTAACGACTCGCCAAATA TACGTTCCCTCCGTGGTAGCATCCATAGATAAAATTGTTACAGAAAAATCAGACGTTGTT TTAACATCTGGTATTACATAATTTTCCTTAGCGTGTGTAAATATCTCAGGGTTGTTTATT AAGTTTAAATCGGCACTGTTGCTATATAACATAACCGGTAAATCTGGCATGCGTATTAAC GCATTGCCCAGTTGACGGTGCGGATCTATAAGGTGACGCGTAAACCAAACTTCAATATGA AGATCGGGGCGTATAAGCGACTTCCACCTTGTTATATTTGAACCTTCCGGATCTAAAGAA TATTGTTCATATGTTTTTTGTTGCTGCTTAAAGGCCGCCTGTTGTCCGGTCGTTAGACGC ATGTAACAAGGCATGATAAATGTGTGAAAATAGGGTATGGATTGTATTCCGCCGTGAACG CATTGTATATTTTCATATAGAAAAGGTGGTTGTGAATGTTGGGTGTTGGCTGCGGGATCG GGCTTTCGGGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGTAGCGGCC GAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCGACGGCG GGATCGGGCTTTCGGGTAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGAA GCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCG ACGGCGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTT CGGGTAGCGGCCGAGGTATATAATTCAGTTATACTTACGGGTGTGGGTTGAGATTCAGTC GATAATTGTATACACGCGATCGTTAAAATTAAATTTATTTGTATCCGCTTCATCCTGGTT TTTATTGACACATCCACGCTCCCCTTAAATAAAAGATTAAAACACCCACCGCGGAATTTA AATGATGGAAACGTTTTTTTCGACATTGGGAATAATAAAAACGGCTTTTGCAACTTTAAA AACTTTATTTATCTCGATTACGATACATATGTACCACATAGATAGCATAGATTTATTATA ATATAAACACACACGTGATATACTTTAGTGATATGAGATGCCATAAAACAGTCAATAGGT TTAACGCTTAGTCTCATCATCTGAATACACGTCAAACCCGCCGCAACTGTTGATGTTAGA ATTATAATAGCTCCCCATGAAATGCCGGCAAATGTTACAGCTATACCCGTCACCGAGGTC GTTGTATATAATACAATTACCCATAGGTTTTTTTTTTCTTGATATAAAACGGCAAAACCC TGTAACCCAAATGCTATAATATGACCTCCTATTGAAACTGCTAACGTTACTTGTGTAAGT TTGATAAAATGATTTAATTTAATTATATGTGAGATTGCCCACATTAATGGGGTAACTATA TATAACACCGGGGGTATAACAGACATTATACGAATTCCTTTAAACACGCGTTTAAGGGTC CGGGAACTTTCTCGATGGTCACATACTCTCCCGCGGTCATTTTGTGTATATACAACGGCA AAACCTAAATCTGTATAAGTGTTTAATTGCTTATGGCGATTTTTACGATATATACACGTA TCTTGCAAATCGGTGGCGGCATCGACAATTGAAACTAGTGTGACAATAGATATACACAAT CCAATAAGAACCTCATATTTACTGACATACATATATAAAATAACGGTTAGTAAACCTCCC AACCCAGTTCCCAACATCATAACATAAAAATAAATATGCGGTCCATTGAATGTCGTAACA AAGTTGTAGTAATGGATATGCACAGCAGCCACTGTTCCGGTAATCGCGGATATGGAAATT CCCAGTAATTCTACAAATGGAAGATCCCGGGATATTGGGCAACCAACCGCCCATAACACA GCAAAACCCAACACGACCACCGTCTGCAAACATCGTCCCAATTTTGCTAATGTGCGTAGA AATTTCACGGATGTTGGCCATAACCCCGAAACGACGATCAACCCCATAATAGTTGCATTG ACGGCAGCTTCGCAGACGTGATATTGTAAAATTAACCCGGACGTGATAACACTTGCTTGT AGTCCCACGAGAAACAACCGCGATGCTGAGGTTATTGCACACGAATTACATTCTTGAGGG TTTCCGACACATCCTTGGATTGATTGAGCGCGGATTAATTCTCTGTCTAACACACCCAGG TTTTCATCATGGACAGCTCTTTCACCATTCACGGCCATGTCTTAAGTTTAATAATTCAAA ACAAATAAAAATGTGTTCATCTATGGTACACACAAGTTTGTATGTAAAATATAAGCAAAA GTTGCACTTATTTAACTGTACATATTACGTCAGATTCACGTGATAATTCAGAATAATCCA GGGTTCCTGCAGGGTCCACTGGAGGAGCCACACAATATTCGCGAATTCCGATTCCCTCCT GCCATGTGGTTTCGGGGAGTTTCCCCCCCATTTTATTTCCGGTATTTTTTTCGTTTCTTT TTGTTAATAAATTGCGTCTTTTTTTTAATGGTGGTTCATCCTTCACAGATTCCATGTTCG CAAATAATTGCATCGAGGTTAATTTTTCTTTAAGGTCTTTGGGACTTAAGAACGTTGCAT AAAAAAAAGAATGCACGGGTGCGGAACGTTGGATATACAATCCAACCATGGGGGAGTTAG TTAAGGCGAGATAAAAATTAATATAACACGTCTCATCCCGTGTTAACTTAAGATTTTGTA CGGCAGAACGGAATCCACTGTGTGTTTCCAATAATACTCCAAATTCACGCATACTCCCGC TGCCATAAACAACATTATTAAGGATCCTTTTTGAATTTGTGATTGAGCGTATTAAATTAT ATGGTGTAGGCTTGCTTCCGTTTATATCCAAGGAAACATTAAATGAGATAAAACCACCCC CGGCGGTCTGGATGTACATATCCGTGGCTGTTAGAATGAAGCATGTTGTAAACCCAAAAG TTTTAAGTAGTCGCTGTAAACGGGTGAATTGATCGCGTTTTAAGCAAATGCTTATATCTG GAGTTAGATTTGGGAACATCATTGTATAACAAGCGAGTTCACGTTTTACAACTTGTTTGT AACATTGTACTTGATCATCTGGACCACAATCACCCGGGCGTTGCCATACCATCGTTTGGA TAATACTCCGCTCGGGGGGTTGTCCGGTGAATTTAAAATATAACCGTGTTGGGGTCGACG GATCTTTTGTATGGCGAAACGCGTCAATAAGCGAGGACCGTCCCTCCGTTGCCGCGAGTA CAACCATTCTCGGCCCAGTCCAATTATACTGGTCAAACATATTTGCCGGTATAGGAATAT ACAGTTGTTCTGTTTCCAAACTACAGTGAATAATTAATCCTTCGTCGCTGAATATTAAAA TAGAATCCCTTAGTCTATTAACCAGAGGTGATATAGACGAAATTAAACCAGTAAGCGTTT TTTCCGTTAAAACAGCTCTGGCGATTTCTGGGGCGTCAAAACCCGCATGCAATTCCATGT CCAAAGCATCGTCTGTACGCGACCTCAAATCCATAATTTACTACTTAAAATGTTTACTAT AGAAAAAGTAATCATATGTAAACACACGAGTTTCGTTAATATGTTTGTTTAACCCGATCC GGTGACTTAAGTACATAAACAGGCATGATATTTGAATAGTACGGCCCATGGGAGGGAACA TTTCCACGTGTTCCAATACAGGGGGTGTTCCTTAATAGGGACTGTGCAATAAAATACGTA AGAAGTTACCAGATTTGATGTAATGTTTGTCATAAAAAATATGTACATCATTATATACGT CTGTAATTAACACAAGATCACATCGAAGAATTACTGAAGCCGCTGTGAAACCTTTCACAA GACGATATAAACTTGGTTAAGTGTATTGATGGGGCTCTTTGGACTGACACGCTTTATCCA TGAACATAAACTGGTTAAACCCAGCATCATTTCAACGCCACCCGGAGTTTTAACCCCCGT GGCGGTAGACGTATGGAACGTCATGTACACATTGTTGGAACGTTTATACCCTGTGGGTAA ACGCGAGAATTTACACGGACCATCTGTAACGATACATTGTCTTGGAGTCTTATTGCGGCT ATTAACACAACGGTCATACTATCCGATATTTGTATTGGAACGTTGTACAGACGGCCCATT ATCACGTGGAGCCAAGGCAATTATGTCACGGGCCATGAACCACGATGAAAGGGGAACCTC GGACTTAACCCGTGTTCTACTATCATCCAACACATCATGTTCTATCAAGTATAACAAAAC ATCGGAAACATATGACAGTGTGTTTCGAAACTCTTCCGCGAGTTGTATTCCTAGCGAAGA AAACAAATCCCAGGATATGTTTTTGGACGGTTGTCCACGACAAACTGACAAGATGATCTG CCTGCGCGACCAAAACGTATGCAGTCTTACCTCTACAATGCCATCCCGAGGACATCCTAA CCATCGATTATATCACAAATTGTGTGCAAGTCTTATTAGATGGATGGGGTATGCATACGT CGAGGCGGTTGACATTGAGGCGGACGAGGCATGTGCAAACTTATTTCATACGCGTACAGT GGCTTTGGTTTATACGACAGATACTGATTTACTCTTCATGGGCTGTGATATTTTGTTAGA TGCAATTCCTATGTTTGCTCCAGTAGTACGATGTCGCGATTTGCTTCAATATTTAGGAAT TACATACCCTGAATTTTTGGTTGCCTTTGTTCGCTGTCAGACCGATTTGCATACAAGTGA CAACCTAAAATCTGTTCAGCAAGTTATTCAGGATACCGGCCTGAAAATTCCACATCAAAT GGACACTTCAACGCGCTCCCCCACTTACGACTCGTGGAGACATGGCGAGGTTTTCAAAAG TCTTACCGTAGCCACGTCGGGTAAAACAGAAAACGGAGTGTCCGTTTCCAAATATGCATC TAACCGATCGGAGGTGACAGTAGACGCCAGTTGGGCTTTAAACCTTCTGCCACCCTCATC CTCCCCATTGGATAATTTGGAACGCGCATTTGTTGAACATATAATCGCCGTGGTAACTCC ATTGACCCGCGGTCGCCTAAAGTTAATGAAACGTGTAAATATTATGCAAAATACGGCAGA CCCATATATGGTTATTAACACCTTATATCATAACTTAAAGGGGGAAAAAATGGCTCGCCA ATACGCACGTATTTTTAAACAGTTTATTCCTACTCCACTCCCACTAAACACTGTATTAAC AAAATATTGGAATTAAAACACACATAAGAGCGACTTAATGGTTCATTGTTTTATTTTGCT CGTATATACATGTTATAAATCGTTTATCACTGTGCCCGCATAAGATGTACTGTGTCTCTC AAAAAAATTTGTGTTTTTATCTGCAATCATAAATGCAAGTGGAAAGTCCGAATCTGGAGG TGGGGTGTTAAATAGTTTTGGTACATTAATCGCTGATAAAAGCCTGTCCGCGCTGAATTT CACGTATTGTGTAATTGCATCGACGTTCACCAAACGGGTTTTGGGTGCATGGGATTTTAA AAACGCACACTCGATTTCAACGGCTTCCGAAAACAGTTGATGTATTCTGGTGATAGCGGG TTTTTCGGGTACATAGTTATTGTATATACAACACGATGCGCTGGTATGTATGGCTTCATC TCGGCTTATAAGGTCGTTAAATTGACAAGTTACAACAAATAGTCCGTTATTGCGTAAATA TGCAATAGCCGCGAACGATGATACAAAAAAAATGCCCTCTATAAGAATCATTAGTATATA TTTTTCTGCAACGGATGGGTTGTCCCGTACCTTTTCTTCCAACCATTGTACTTTTTGTTG GATCGACGGATTATTAATAGTGACATTTACGTATTGTACCCGCAACGATTCATCCCCTCT GAACAACATTAGTTGAATTTGACTATAGACACGCGCGTGGACAACCTCGATGCACTCTTG TTCAATGTAGTAATGGTGAATATCCTTTTGGGAAAAGAGTTGGGTTAGAGAGCCCAAATT AACATTTACCAGATCATCTGCCGCCGATAAAAATGTAAAAATAAATCTGTAGAATATTAG TTCATCTTCCGTTAAACAGTCCAAGTATTGATAATCATCTTCAATGATAAAATCGCTTTC TAACCAACGATTCGAAATGCTCAGGGCACGTAAATTGTTTATATCTGGACACTCCGGCCT GTAAAAAAAATGACTGCAATCTTTCTGATCCATTTTGGAATAGTTTCCCGTGTAAATTTA TAAAGCACAACTGGTACAGGTTAATTCGCCTCCCGCAAACAGTCCGCTGTTTGTAGCTTT ACGAATTTTACAGTAGTACATACCCGTTTTAAGGCCGGCTTTATAGGCACGTATAAGCAA ATTCATTATTTTGGAGGCGGGAATTGTCCCGTCTGGGCGTTCCTCAATAAATAAAGTCAT TGATTGACTTTGGTCAATAAATGGCGCCCTTTCTGCACACATATCAACGAGATCCTCTTG CTCATATTCAAACGCTGTTTTATATTTTAAGAGTGGGTGACTATTAGATAAACAGCCAAA CGAACGTATTACTGACCATTGGTTTTTCTCAAGTATGTTTATAACTTCCAGTCGTTTTTC TTCACATGAATACATATCTCTTAGTTCGTCCATAAGGTCTAAGTTGGGTCTAAGTAACTC ACCCGAGGTGGTGACCTTACTAAACATATTATTATAAATTGGAGAGAAACCCTCACTGCA CTCCGTTACCTGTGCAGATGAAACTGTGGGCATTAACGCTAAGAACTGCGAGTTGTATAA CCCATAAGCGCAAATATCATCTCGCAGGGTACACCATGGTAAATCTAAATAACTTATCGT AGAAAACCCATCTTGGTGTAACCATCCCTTAGCATATTTACTTTCGGTAAAACCCTTAAA CGGGGCTAAGCCGCCAATCTTACACATTTCCATGCTTGTTTTCATTGTCTCATACAACAT TAACTCCGCTATTTGTACATTTAACCGTCTAGCTGGTTGGGAAGTTAAATCAAATCCTAA GCGGAGACAAGTTGTATGTAACCCTTGTATGCCAATGCCAAGTGATCGGTTGTTTTTTAC ACCTTTACATGATTTTTTACATGGAAAGTTCCCAGCCGCCAGGACCCCGTTTAAAAAAAT AACAGTCGTTCTTGCTGTCAATTGAAGGTCGTTTAAATTAAATGACACTGGGCCTTTGGA TAAGCACGTTGTAAGATTTATGCTGGCAAGATTACATACGCCATGTTGATGAGCGTCTGC CTTTTGAACAATTTCCGTACACAAATTTGACCCCGTGATAGCATTTCCTTGGGTATTCAT ATGATAATTACGATTACAGGCATCTTTGAACATTAAAAAGGGGCTTCCTGTTACAGCAGC ACTGCGTATGATTGTGAATGCGATATCTTGAATGGGAACAGAAGAAACGCCTAATCCTTC TCTCTCTAAACGTAAATAGGTTGAAGTGAATGCCTCCCCGTGTAATGTTCGAAGGATATC GGCTCTGTTATCAAAAAGAGTCCACTGAACATTACTAGCCCCTTTTAGATAGCTTAGGTA TCTTTCAAAAAATAAATCTGGGGTCCATAAACAACAAAATATGTTATCACATCGAAATAT TTCATCACGAACCAACATTCCACGTGTGGCCAAAACAGTTTGTAGATCGACGTGCCATGG TTCTATGTAAACACAAACTCCAGTTGGTCGTTCACAATCACTGTTAATTGCCATAACCAT GCAATCTAAAAGTTTTAAAACTGCAAGAAGACCTTTCGTTTGATTTTCCGTAGGTATTAA ATTCAGACTCTGTAGAGAAATTCCCACTCCGCCTCGACTTTGTAATACCGTTCCCACATC GCCTGTGATAGCTCGAACAGCTCTCCCAACAGTGATGGATTCCGGGTCCATTAAATAACA ACTGGCCGTTGCCCCGGTCTCTCGACCTAAAAACATCATAACCGGTGTAGCCGGGACAAT TTTCTGACATGCCAACGCTGTGAAAAATACCCGACAGACATCAGTCCATGTATAACCATC ATTTATTCCGGGAATAAGAGTTGCGATTTTAGGCAGGTTTACGATTTCTGTTGTCACGGT GGCCGCCAGTCTTAAAAAGAATTGGCAAAGCGACTCTAATTTACCTTCCTCTAACTTAGT TAAATAAAAGTCTTCGTACTTTAAAGCAGACTGTAGTCCAAGGGTAGCTAAAGCGGGGTA TTGATCTTTCAAAAACGGTTCTAATATAGCCCGACGAATTTCGTCCCTCCGCCCTTCAAT TGCTTGGCGGACTCGGGGAGTTAAACAGAGAATTGGGGAAGTCAACCACGTTTCCATGGA AACGGATCGTAGGTTAATACGGCAATGGATAAGTTCTCCACAACATCGGTACACTCGCTC ATCTTGTCGCGTCACCGCCTTAAGTTTTGAGACGATAGTGCTAATATACTCCATTAATTC CACCGGTGTGGTTGATTCGGGCGGAATGATGTATTCCTTGTAGCCATGTTGACATAATCG GTTTATAATGTCATGAACCGATTAAAAATTCTTTTGAACTCCATAACGGATAACGTATTT AGGCTCCGGAATAAACCTTTAAACCCTAAACTCACAGCTGAGTTAGTTCTACAATATTGT AGACTCCCTTATATATGGTTACGTACAGCCTGCCCCTCCCCAGTATATAATATCACGCAA AACCCACGCTATGTTAAATTCAGTTTATTTTACATACATGCTTTAATAATAACATTCGTT CCATGTATTTGTACCCCCCCACACAACCCCCTCTAACCAAATAGTTGGCACGTTATAACC TCCGAACCGTTCCATGCGTCTTGTATAACGCACAGACTCTGATGGAATTGTTCCAATTAA CGTATATGCCGCATACATGCAGGATAATTGTGTGGGAAGTCCCCGAAAATCGCCGGTCCA TTGATACAATCGCTGTCTAGCCAAGTTCCAATTTACTCCTGTAATTTCGCCAATACTACA TCGAGGGCTTGTCGGGTCATTGGATAACTGCACAAGCGGCAACGCCCTTGTGTTATATGG CTGGTGGGTATTTGCAACCCCTTCAGTCCCCCAGGCGGCATTTTCAGCTCGTATGCGTCC TAACAGGAAGCCAATACCACGACCAAAACATTGTTCGTTTAGTTGGCTTAATGCAAGATG CAGTCTTACACCTTCTCGTTGGCGTCGCTGTGTATATACAAAAACCAAGAACACATGCTT CAGTCCGTCCGCGGAAAGATGTAAGTCTTTGTCAACGTCCCAAAATACGCAGGCCGGGAT GTTGGCTGTGACCCTGCGAGTTGAAGTTTTGTCTGTACGTGCAGCTTCTTGGGGACCTTT GGCCACGGCGGTTATATTGCATAAATTATCCTGAATGGTATATTCCAGCAGGGACCCAAA AAAACTTATAAATCGATGTGGAAATACATGACATTGTACCATCGCACGTAAACACTCCGA AAACCTTATGAGCCGCGTTTCCATACGACTGCATCCATAGGCAGAAACAATTGCTGTTCT GTTGGCATCTGCTGCCTGTTTATCCGTATATTCTTCTGCCCGGCATGCGGCGATGAAACT TAATGACGTTACATATGCTCTAAGCCCCCCACCTTCTCCAACGGTCCAAGGAGCCGTGCA GGCATTGAATAGGTTTCGTAAACCCTCTAGTATTACATCGGGGTCACGTCCAGCCTGTGT AAGTGTATTAGCTTCTCCAATCATGTCAGATGGATGACGAAGGATTAAGACGATTGACCC AGCATGCTCAATGTCCGGACGAAAAAAATCGGTTAATGACACTTGTTGGATTAGCTGTGT CGTTGATTTAAAATTATTTAACGGGAGTCTAATGGTAACTTGCGGGTTACCAATTGAAGT TGGATTTATTTGAATGTTGTTCATGCGATTAATAACAATTGAACGGGGGGTTACTTGAAT AGACGCGGTTTCTGTACGTTTTGGTGGTCCATGTATCGGTTGTTTGTTCAGACCTCCAAA GCGAGGGCCAATTGTTAAATCGCGACTCCAATTTCCGAAGAAGCCCGGAGCATAAGTCAT ATGAAGCCCGTTCCCTATTTGAATAAAACGGTTATTTCCTAAAAGACTGATATTAGTTCC ACATAGCGTTTGTTCGTTTAAAGTAAAATGCGAGTTGGTTGGTTGACTCCCCATAGCTGA GGGGGTAAATTCACACAATGCAATCGTGACGTGGTACTATCTGAAATGTTGCCTGGGGTA TGTGTACACATTATACAGTCGTAGTACCGTTTATATAATGTTAGGTAGGAGGAGCCTATA AAAATATTTTGATTGGCGTTAAAAGGTTCTTCAACTTACCGTGACGTCCTTTTTATTAAC ATGCGTTTTTATTGATGTTACATTTATGTCTTTTCATTCCGGACGGATGTAGCTTTTTCA TATCACGTTATAAAGTTAAGTCAGCGTAGAATATACCATGGAAGAACCAATTTGTTATGA TACACAAAAACTTTTGGATGATTTAAGTAACTTGAAAGTACAAGAAGCGGACAACGAAAG ACCATGGTCACCAGAGAAAACAGAAATCGCCAGAGTTAAGGTAGTTAAGTTTTTACGATC TACCCAGAAAATTCCAGCTAAACATTTTATTCAGATATGGGAACCCCTGCATTCTAATAT CTGTTTTGTATATTCCAATACATTTTTGGCGGAGGCTGCTTTCACGGCCGAAAATTTACC CGGACTGTTGTTTTGGAGACTAGATCTAGACTGGACGATAGAGGAGCCAGGTAATAGCTT AAAAATTTTAACCCAGCTATCAAGTGTAGTACAAGATTCCGAGACGTTACATCGTTTATC GGCCAATAAATTACGAACCTCGTCTAAATTTGGACCCGTTTCGATACACTTCATTATAAC GGACTGGATAAATATGTACGAGGTCGCCTTAAAGGATGCAACAACAGCCATTGAATCACC ATTCACTCACGCTCGTATTGGAATGTTGGAAAGCGCCATTGCAGCTTTAACACAACATAA ATTTGCGATCATTTACGATATGCCATTTGTTCAAGAGGGGATTCGTGTTTTAACACAATA TGCAGGATGGCTTCTTCCGTTTAATGTTATGTGGAATCAGATTCAAAATAGCTCACTCAC TCCTCTAACACGAGCCCTTTTTATAATCTGTATGATTGATGAATATCTCACGGAAACGCC AGTACATAGCATATCAGAATTATTTGCAGATACTGTAAATTTAATTAAAGATGAGGCGTT CGTATCCATCGAAGAAGCGGTAACGAATCCACGAACGGTGCACGAGTCACGAATTTCTTC AGCTCTGGCTTATCGAGACCCTTATGTTTTTGAGACATCCCCGGGAATGCTTGCTAGGAG ACTTAGATTAGACAATGGTATATGGGAAAGCAACCTCTTATCGTTGTCCACCCCCGGAAT TCATATTGAGGCGCTGTTACATTTACTAAACTCCGACCCGGAAGCGGAAACCACATCTGG AAGTAATGTAGCAGAACACACCCGTGGCATTTGGGAAAAGGTTCAGGCTAGTACATCGCC TAGTATGTTAATAAGCACCCTTGCCGAATCCGGGTTTACAAGATTTTCATGCAAATTGCT ACGTCGGTTTATTGCTCACCACACACTCGCCGGTTTTATTCACGGAAGCGTTGTAGCAGA CGAGCATATTACAGATTTCCAACAAACACTAGGATGTCTCGCTTTAGTGGGTGGACTGGC ATACCAATTAGTGGAAACGTACGCTCCTACTACCGAGTATGTGTTAACATATACACGGAC AGTAAACGAGACCGAAAAACGGTATGAAACGCTATTACCCGCCTTAGGATTACCACCGGG AGGCCTGGGACAAATTATGCGGCGCTGTTTTGCTCCACGACCCCTTATTGAAAGTATACA AGCGACACGCGTAATACTACTTAATGAAATTTCTCATGCAGAAGCTAGAGAGACAACATA TTTTAAGCAAACACATAATCAATCCTCAGGTGCGTTATTACCACAAGCAGGACAAAGTGC CGTACGCGAAGCCGTACTAACCTGGTTTGACCTACGTATGGATTCAAGATGGGGTATTAC TCCCCCGGTGGATGTGGGTATGACACCTCCTATTTGTGTTGATCCACCGGCTACAGGGTT GGAAGCTGTCATGATAACAGAAGCACTAAAGATTGCATATCCTACCGAATATAATCGCTC TAGCGTGTTTGTGGAACCGTCGTTTGTGCCTTATATTATTGCAACAAGCACGCTTGATGC CCTTTCGGCAACAATAGCTTTGTCTTTTGATACACGGGGAATACAGCAAGCCTTGTCTAT TCTTCAGTGGGCTCGCGATTATGGATCCGGAACCGTGCCCAATGCAGATGGATATCGCAC AAAACTATCTGCTCTTATAACAATATTAGAACCTTTTACCCGTACACACCCCCCAGTACT TTTACCATCTCACGTTTCTACTATAGATTCCCTTATATGCGAACTTCATCGGACTGTTGG CATTGCCGTTGACCTGCTTCCCCAGCACGTCCGTCCTTTGGTTCCTGACCGTCCTTCTAT TACAAATAGCGTTTTTTTAGCAACTCTCTATTATGATGAACTTTACGGTCGTTGGACCCG ACTGGATAAAACATCGCAGGCGTTGGTTGAAAATTTTACATCCAACGCGTTAGTGGTTTC TCGGTACATGTTAATGTTACAAAAATTTTTTGCGTGTCGTTTTTATCCAACGCCAGATCT TCAGGCCGTTGGTATCTGTAACCCAAAGGTTGAACGCGATGAACAATTTGGGGTATGGCG TTTAAACGATCTTGCTGATGCGGTTGGTCATATTGTTGGGACAATACAAGGAATCCGAAC GCAAATGAGAGTGGGAATATCCAGCCTGCGCACAATTATGGCCGATGCTTCCTCAGCCCT TAGGGAATGTGAAAATTTAATGACTAAAACCTCCACTTCTGCTATTGGGCCTCTTTTTTC AACGATGGCTTCCCGGTATGCACGGTTTACACAGGATCAAATGGACATTTTAATGCGTGT TGACAAACTAACAACAGGAGAAAATATACCCGGTCTTGCAAATGTAGAGATTTTTTTAAA TAGGTGGGAACGAATAGCAACAGCTTGTAGGCATGCCACGGCAGTCCCGTCTGCCGAATC TATTGCAACCGTGTGTAATGAATTGAGGCGCGGTTTAAAAAATATACAAGAGGATCGTGT AAATGCCCCAACCTCATATATGAGTCACGCCCGAAATCTGGAAGATCACAAGGCAGCAGT TTCATTCGTTATGGACTCCAGGCAACAGTTTATTGTGGATTCTGGACCTCAGATGGGCGC GGTTTTAACTTCACAATGTAATATAGGAACATGGGAGAATGTAAATGCAACGTTTTTACA CGACAACGTTAAAATAACGACAACGGTCAGAGACGTAATTTCAGAGGCTCCGACGCTGAT AATAGGACAAAGATGGCTTCGTCCAGATGAGATTTTATCTAATGTAGATTTGCGTCTTGG CGTACCCGGGAATACAAGTGGGAGTGACCCTTAATATAAAACAGGCGTGTTTATGTACAT TAAAGTATTTGTGGTTTTTATTGACTGGGCGTTTCGTTTGTATAACGCTGTTGTTGCTAG TATTTTCATAACCTCCTAGGTTTTTGGAGCTACACGTGCTTATTCAACGCTCTTTGGGAT TTGAATCATCGTAAACGTAGCGTCCCTACCAGTTGAGCGCGTAATTTTCGTAAGCAATAA AATGGATATAATTCCGCCTATAGCTGTCACTGTTGCGGGAGTGGGAAGCCGTAATCAATT TGACGGTGCCCTGGGACCGGCGTCAGGTCTGTCATGTTTAAGAACATCTTTATCGTTTTT GCATATGACATATGCGCATGGAATTAATGCAACCCTGTCATCAGACATGATTGATGGATG TTTACAAGAGGGTGCAGCATGGACTACGGATCTGTCTAATATGGGGAGGGGTGTCCCAGA TATGTGTGCTCTTGTTGATCTCCCCAATCGAATTTCATATATTAAACTGGGGGACACTAC CAGTACGTGCTGCGTTTTGTCTAGAATATACGGCGATAGCCATTTTTTTACCGTTCCAGA CGAGGGTTTTATGTGCACACAAATTCCCGCTAGAGCGTTTTTCGATGATGTGTGGATGGG ACGTGAAGAGTCGTATACAATTATAACTGTAGACTCAACGGGAATGGCCATCTATCGTCA GGGAAACATATCTTTTATTTTTGATCCACATGGCCATGGGACTATAGGACAGGCTGTAGT TGTTCGGGTGAATACCACGGATGTGTACTCTTATATCGCATCGGAGTATACCCACCGCCC CGATAACGTAGAATCCCAATGGGCCGCTGCATTAGTTTTTTTTGTCACCGCAAACGACGG TCCCGTAAGCGAAGAAGCGCTATCTTCGGCAGTAACGCTTATATACGGAAGCTGTGATAC ATATTTTACAGATGAACAATATTGCGAAAAACTGGTTACAGCTCAACATCCGTTGCTTCT TTCACCTCCTAATTCCACGACAATTGTGCTTAATAAATCGTCTATAGTACCTCTTCACCA AAACGTTGGTGAAAGTGTATCCTTGGAAGCAACCCTACATTCAACGTTAACCAACACGGT TGCACTGGACCCTAGATGTAGTTACAGCGAGGTTGATCCTTGGCATGCGGTTCTAGAAAC AACCTCGACTGGGTCTGGCGTTTTGGATTGTCGTCGTAGACGCCGTCCTTCATGGACTCC TCCTTCAAGCGAGGAAAATTTAGCTTGTATCGACGATGGCTTGGTAAATAATACACATTC CACGGATAATTTACATAAACCCGCTAAAAAGGTTCTCAAATTTAAACCAACTGTAGACGT GCCGGATAAAACACAAGTGGCACATGTATTACCCCGCCTACGAGAAGTTGCTAACACCCC AGACGTTGTGTTAAATGTATCCAATGTAGATACGCCTGAATCCAGTCCCACTTTTTCACG GAACATGAATGTAGGAAGCAGTTTGAAAGATCGGAAGCCATTTCTATTTGAACAGAGTGG TGATGTCAACATGGTTGTCGAAAAACTACTACAACATGGGCATGAAATTAGCAATGGATA CGTACAAAATGCGGTGGGTACGTTGGATACTGTTATTACCGGTCATACAAATGTTCCCAT TTGGGTAACAAGGCCCTTGGTCATGCCAGACGAAAAGGATCCATTGGAGCTTTTTATTAA CCTCACCATTTTGCGTTTAACGGGATTTGTGGTGGAAAATGGAACACGTACACATCATGG TGCTACAAGCGTTGTATCAGACTTTATAGGTCCCCTTGGGGAAATTTTAACAGGATTTCC CTCCGCCGCGGAACTTATACGCGTTACAAGTTTGATATTAACAAACATGCCGGGGGCGGA ATATGCTATTAAAACTGTTCTCCGGAAAAAATGTACAATTGGCATGCTCATTATCGCTAA GTTTGGTCTAGTTGCCATGCGGGTTCAGGATACAACCGGCGCTTTACATGCCGAACTAGA TGTGTTAGAAGCGGATCTAGGAGGTTCGTCGCCCATAGACCTCTATTCTAGACTGTCGAC AGGTCTTATAAGTATACTAAATTCGCCTATTATTTCTCATCCCGGACTTTTTGCCGAGCT TATTCCAACCCGTACAGGGTCCCTGTCTGAACGAATACGTCTTCTTTGTGAATTAGTCTC GGCCCGGGAGACACGCTATATGCGTGAACACACCGCGCTTGTTTCTAGTGTAAAGGCTTT AGAGAATGCATTACGGTCTACCCGCAATAAAATTGATGCCATTCAAATACCAGAAGTTCC CCAGGAACCCCCGGAAGAAACCGACATTCCACCCGAAGAGTTAATTCGGCGTGTATATGA GATACGATCCGAAGTTACAATGCTATTGACCTCGGCTGTTACAGAATACTTCACCCGCGG AGTGTTATATAGCACACGGGCCTTGATCGCTGAACAATCCCCTAGGCGTTTTCGGGTCGC GACCGCAAGTACGGCACCCATTCAACGGCTTTTAGATTCTCTTCCGGAATTCGACGCTAA ATTAACGGCAATCATATCGTCCCTGTCTATACACCCTCCTCCTGAGACTATACAAAATCT CCCCGTCGTATCTCTGTTAAAAGAGCTTATTAAAGAAGGGGAAGATTTAAACACAGACAC GGCTCTCGTATCGTGGTTATCTGTAGTCGGGGAAGCTCAAACCGCAGGTTACTTATCCAG ACGAGAGTTCGATGAATTATCACGTACAATTAAAACCATTAATACACGCGCAACGCAACG GGCTTCCGCGGAAGCAGAGTTGTCTTGCTTTAATACGCTAAGCGCGGCCGTAGACCAAGC CGTAAAGGACTATGAAACATATAACAATGGTGAGGTCAAGTATCCTGAAATAACACGGGA TGATTTATTAGCAACAATTGTACGTGCTACAGACGATTTGGTGCGACAGATAAAAATTTT AAGTGATCCAATGATCCAATCCGGTTTACAACCTTCGATTAAAAGACGATTGGAAACAAG GCTTAAAGAGGTTCAGACGTATGCAAACGAGGCCCGAACCACACAGGACACAATAAAGAG TCGAAAACAGGCGGCATATAATAAACTCGGGGGGTTACTTCGCCCGGTAACCGGTTTTGT GGGACTTAGGGCTGCAGTAGATTTATTACCGGAACTTGCTTCTGAGTTAGATGTCCAAGG AGCCCTGGTAAATCTCAGGACCAAAGTCTTAGAGGCGCCGGTAGAGATCCGTTCTCAACT TACGGGTGATTTCTGGGCGTTATTTAACCAATATCGAGACATTTTAGAACATCCCGGAAA CGCACGCACATCTGTCTTAGGAGGACTGGGAGCTTGTTTTACAGCTATTATCGAAATTGT GCCGATACCTACGGAGTATAGACCATCATTGCTTGCGTTTTTTGGTGACGTGGCAGATGT GCTTGCATCCGACATCGCGACCGTATCTACTAACCCGGAAAGTGAGTCCGCCATAAACGC TGTTGTTGCAACTCTTAGTAAAGCGACGTTAGTTTCATCTACAGTGCCAGCCTTATCCTT TGTGTTGTCGTTATATAAAAAATATCAGGCTTTACAACAAGAAATTACGAATACCCATAA GTTGACTGAATTACAAAAACGACTTGGAGATGACTTCTCCACCCTAGCTGTCTCATCTGG ACACTTGAAGTTTATATCATCTTCAAATGTAGATGATTATGAAATAAACGATGCGATATT ATCAATACAAACAAATGTGCACGCCCTAATGGATACGGTTAAACTTGTTGAAGTTGAACT GCAAAAGCTACCCCCCCATTGTATTGCTGGGACATCTACCTTATCTCGAGTAGTAAAGGA TCTTCATAAACTCGTCACAATGGCACATGAGAAGAAGGAACAGGCAAAAGTGTTAATTAC CGATTGTGAACGTGCACATAAACAACAAACGACTCGGGTTTTGTATGAGCGTTGGACACG TGATATTATAGCATGTCTGGAGGCAATGGAAACGCGCCATATATTTAACGGGACAGAACT GGCACGGTTGCGAGATATGGCCGCTGCGGGAGGGTTTGATATACACGCAGTTTACCCACA AGCACGTCAGGTTGTAGCGGCATGTGAAACTACAGCCGTTACGGCATTAGATACTGTGTT TCGCCACAATCCATATACCCCCGAAAATACAAATATTCCCCCACCTTTGGCTTTGTTAAG AGGGTTAACATGGTTTGATGATTTTTCGATTACGGCTCCCGTATTCACCGTTATGTTTCC AGGTGTTAGTATTGAGGGACTCCTTCTGCTTATGCGTATTCGCGCGGTTGTGTTATTATC CGCCGATACGTCTATTAATGGAATACCTAACTACAGAGATATGATATTACGAACCTCGGG GGATCTATTACAAATACCCGCATTGGCTGGGTATGTTGATTTTTACACACGGTCTTATGA TCAGTTTATAACCGAAAGTGTAACGTTAAGTGAACTTAGAGCAGACATCAGACAGGCTGC CGGGGCTAAACTTACAGAAGCAAATAAGGCTTTGGAGGAAGTAACTCATGTTCGGGCACA CGAAACGGCTAAACTTGCACTTAAAGAAGGTGTCTTCATTACATTACCAAGCGAAGGTTT ATTGATTCGGGCTATAGAGTATTTTACAACTTTCGATCATAAACGATTTATAGGAACGGC ATATGAAAGAGTTTTACAAACAATGGTAGACCGCGATCTAAAGGAGGCCAACGCAGAGCT TGCACAGTTTCGTATGGTGTGTCAGGCAACAAAGAACCGTGCAATACAAATTTTACAAAA CATTGTTGATACTGCCAATGCCACTGAGCAACAAGAAGACGTGGATTTCACTAACCTGAA GACGTTATTAAAACTAACCCCCCCTCCCAAAACAATTGCATTGGCCATTGATAGATCTAC TTCCGTTCAGGACATTGTCACGCAGTTTGCATTGCTGTTAGGGCGTCTGGAAGAAGAAAC TGGTACGTTGGACATTCAGGCGGTTGACTGGATGTACCAAGCTCGCAATATTATTGACTC CCATCCACTAAGTGTGCGTATAGACGGTACCGGCCCCCTGCATACTTATAAAGATAGGGT GGATAAACTTTATGCGTTACGAACTAAATTAGATCTCCTACGACGACGAATAGAAACCGG TGAGGTTACGTGGGACGATGCATGGACAACATTTAAAAGAGAAACGGGGGATATGTTGGC ATCGGGGGACACGTACGCTACTTCCGTAGATAGTATAAAGGCACTCCAGGCATCGGCGTC TGTGGTTGACATGCTTTGTTCCGAACCCGAATTTTTTTTATTGCCTGTGGAAACGAAAAA CCGTTTCCACAAAAAGCAACAGGAACGTAAAACGGCGTTGGATGTTGTGTTGCAAAAACA AAGACAGTTTGAAGAGACCGCGTCTCGCTTACGAGCTTTAATTGAACGTATTCCAACGGA GAGTGACCATGACGTTCTTCGTATGTTATTACATGATTTCGATCAATTTACACATTTGCC TATATGGATAAAAACACAGTATATGACATTTCGAAATTTACTCATGGTACGGTTAGGCTT GTATGCAAGTTATGCTGAGATTTTTCCACCCGCGTCTCCAAACGGAGTGTTTGCTCCTAT TCCCGCCATGTCGGGTGTATGTCTAGAAGACCAATCCCGATGCATTCGCGCGCGGGTGGC CGCGTTTATGGGGGAGGCGTCTGTGGTGCAAACGTTTAGGGAAGCCAGATCTTCTATAGA CGCTTTGTTTGGAAAAAATTTAACCTTTTACTTGGATACTGATGGGGTTCCACTTCGATA TAGAGTGTGTTATAAATCAGTTGGGGTTAAACTTGGAACCATGCTATGCAGGCAGGGTGG ATTATCTTTACGACCGGCACTTCCCGATGAAGGTATTGTGGAAGAAACTACACTATCGGC ATTACGCGTGGCCAATGAGGTCAATGAGCTACGCATTGAATACGAATCCGCTATAAAATC CGGGTTTTCTGCCTTTTCCACCTTTGTTAGGCATCGCCACGCCGAATGGGGTAAAACCAA CGCACGCAGAGCCATTGCAGAGATATACGCCGGCCTTATAACAACAACATTGACACGACA ATACGGGGTTCATTGGGACAAGCTTATTTATTCTTTTGAAAAACACCACCTAACTTCTGT AATGGGCAATGGACTAACTAAACCAATCCAGAGAAGGGGTGATGTACGCGTATTAGAGTT AACCCTATCTGATATTGTAACTATTTTGGTTGCCACAACCCCGGTACATCTTCTCAATTT TGCTAGATTGGATTTAATTAAACAGCATGAGTATATGGCCCGTACCCTCAGACCCGTAAT CGAGGCCGCATTTAGAGGTCGTTTACTCGTTCGCTCATTGGATGGAGACCCGAAAGGCAA TGCCCGGGCCTTTTTTAATGCCGCCCCATCCAAACATAAACTCCCGTTAGCTCTTGGATC AAACCAAGATCCTACCGGCGGGAGAATATTTGCATTTCGGATGGCAGATTGGAAACTTGT TAAAATGCCACAGAAAATAACGGATCCTTTTGCGCCATGGCAACTTTCCCCCCCCCCCGG GGTAAAGGCCAATGTCGATGCAGTTACCCGTATAATGGCAACAGATCGTCTTGCGACCAT TACTGTACTTGGGCGCATGTGTCTCCCGCCAATTTCCTTAGTGTCAATGTGGAATACGCT GCAACCGGAGGAATTCGCATACAGAACACAAGATGATGTGGACATTATAGTTGATGCGAG ACTGGATTTGTCATCCACGCTTAATGCAAGATTTGATACCGCTCCCAGCAATACCACGTT AGAGTGGAATACAGACCGTAAAGTAATTACAGATGCTTATATTCAAACCGGGGCAACGAC AGTTTTTACAGTAACGGGGGCGGCACCAACTCACGTTTCTAATGTAACAGCGTTTGACAT AGCAACTACGGCTATTTTATTTGGGGCTCCTTTGGTTATTGCCATGGAACTTACATCCGT TTTTTCACAAAATTCCGGACTTACTTTGGGGTTAAAATTATTCGATTCCCGGCATATGGC TACAGATTCGGGTATATCCTCAGCCGTATCTCCCGATATTGTTTCTTGGGGGTTACGTTT ACTGCATATGGATCCTCACCCAACTGAAAATGCATGTTTAACTGTCCAACTAGAAAAACT GTCCGCGCTCATTGCAAACAAACCTCTTACAAACAATCCCCCGTGTTTACTGCTATTGGA CGAACATATGAATCCCTCTTATGTTTTATGGGAACGAAAAGACTCGATTCCAGCTCCGGA TTATGTGGTCTTTTGGGGGCCAGAATCTCTTATTGATTTGCCGTACATCGACTCCGATGA GGACTCTTTCCCCTCGTGTCCCGATGATCCATTTTACTCGCAAATTATTGCCGGTTATGC GCCCCAAGGCCCCCCAAACCTCGACACAACTGATTTTTACCCAACGGAGCCACTATTTAA GTCTCCCGTTCAAGTTGTTAGAAGTTCCAAATGTAAAAAAATGCCCGTCCGGCCCGCGCA GCCCGCGCAGCCCGCGCAGCCCGCGCAGCCCGCGCAGACCGTCCAGCCCGCGCAGCCCAT AGAACCGGGCACACAAATAGTGGTACAAAATTTTAAGAAACCCCAAAGCGTAAAAACAAC CCTTAGCCAAAAAGATATTCCCTTGTATGTGGAAACCGAATCAGAAACGGCTGTGCTTAT ACCTAAGCAATTAACCACCTCCATTAAAACAACCGTTTGTAAAAGTATTACCCCACCAAA TAACCAATTGTCGGATTGGAAAAATAATCCACAGCAAAACCAAACGTTAAACCAAGCGTT CAGTAAACCAATACTTGAGATTACCTCCATTCCGACAGATGACTCGATATCTTACCGGAC TTGGATTGAAAAATCAAATCAAACACAAAAACGGCATCAAAATGACCCTCGAATGTATAA CTCCAAAACAGTATTCCACCCTGTAAATAACCAATTACCTTCTTGGGTTGACACGGCAGC CGATGCCCCCCAAACGGACCTATTGACAAACTATAAAACAAGACAGCCGTCGCCAAACTT TCCGCGGGACGTACACACATGGGGCGTATCTTCTAACCCGTTTAACTCACCGAACAGAGA CCTATATGAAAGTGATTTTAGTGAACCTTCTGACGGCTATAGCAGTGAGAGTGAAAATTC TATCGTACTAAGTCTCGACGAACATCGGTCATGTCGCGTTCCTAGGCACGTACGCGTTGT TAATGCCGATGTAGTCACCGGTCGACGTTATGTCCGAGGGACCGCCTTGGGAGCACTGGC CCTGTTAAGCCAGGCATGTCGGCGTATGATCGACAACGTTAGATATACACGTAAACTTTT AATGGACCACACGGAAGATATATTTCAAGGCCTGGGGTATGTTAAATTGTTATTAGATGG AACATATATATAAAGTAGCGCCTATTAAAGAAAAAAAAAAAACAACGATTATTTTCTGTG TATTTTTATTTACACCCTACGACTTCTTGAAGCGTTTCCAGATTGTCCCGTGTGTGACAA GGTCTGTCCCTTACCCCCCTGGGGGGTATTTTGGGTTGGGGGCGGGGTAGACTGTGGCAC GCCTTGGGCCGCGGGCGGTGATCCGGTTGTTGGCTGGACAGTGCTTGACTGTGCTCCCTG TTGCGGTTGTTGTCCAGAAGACCCCGACACCACGTGTTGCTGTTGTCCAACGGATGCCGA CGTCGTTTGAGGTGGGGGGTGTTGCGGGGATGATCCCGAAAACGCCAACGCGGCGGGCTG TTGTAAAGCAGACTGATCGGCGCTCTGTGTTTTTTGCGGCAATATAGTAGGCCCCGAGAT TCCCAAACTCATGGATGGATTTGGGGGTTGTGGTCGTATAATACGCGGGTTAAACGTACG TTTTAAGCCAACCGTTGGTCTTAACCATGTCATAGGGTCAGTCTCGGCAAACATGGCCGT TCGGCGTATCGTATTTGCATTATGGTTAGCGCGTGCACGCGCGGCACTGGCCGCGGCTCC CACGGTGTAAATGCTTCTGGCATCAGCGATGTCCACACGGTGACCAGGTTGCAAAGGTCC ACTGGCGTTTAAAAGTCGTATTAAAGCAACGGGGGTGTAAGCCGCAATTGCTTCCACCGA AAATGTGGTGGGGTTGCTGGGATCAAAGACTACACGAGACGATGCGGGTTGTGTCATCGT TTATTAGTTTACGGGACAATCGATAACAGCATACACGTACATCTGCGCAGGATATGTACG GAAAGGCAATTTATTTCCAGAAAAGCACCGCCCCTAATACAACTACCAGTACAATTACAA CGAACAGGGCATATGTCACGTTAGCTACGGGTAGAGCAAGTTTCCAGACACGCGTAGTTT GGGTATCGGGTAACGCAGGTTTAATGTCACTTTGCATTTGAACAGACGTGTTTGGACTTC CGTTCTCGGGTGGGGATCTGAATGAAGGCCGCCAGCGTATATATTCATCCAAATTATTGC CAGTTTCCTTATACATGTATGCATCCGTGGCGCGGGCCATAAGTTTAATGGTGCGAGATG GATCTTCCGGTCCCATAAAACGAAAGGATAACTGAACATATGGCATTCGCACAAAGCAGT TCACCCACATTAAAGCCTGGAGAGGTCGGCGGTCAATACCCCCACCTCGTTTAATTGATT CCAAAGCAGATAGGTTGATACCGGTACTTAACGTTGAACTAAGAATCACGTTATTACTGT CAATGGACACTTCAGCCACTGGTGCGTTAGTCGGACGAAAAAAAAAACCTTGAAATAGCA CAGACACCCCCGTATTTTGAATTTTTATGTAAGGGTCACAATCTACTTGCGCCCAATTCG CCATTAAACGCATAATATACTCTACCGGAAAGGCTTCGGATACGTTGTCTTCGCCGTTAA ACTGAAAAACACAACGGGCGGGGGGGCGTTGTGGATCAAATATTGGAAGATCCCCATCGC AACATTGAAGAGCGCTTGGTACCACCAACCGAATACGTTGTAAAAGATTATCTCCGCAAC CCCTCCTGCGTTCACTCCGTACATACGTTCTCCGTGACATATTGATCTAAGGTTGCAAAC CAAGGCACACGCGTGAAGTATTTAGACCATTTATCGTGGGATATAGGAGGAGTTTGGAGT GATCCACCCCCTGACGACTTATTAATGCGTTTATTTTCCCCATGTATTAAGCATCCTTCA ATATTTCATGCAAATCTAGAAATTTGGCCATGACTCCCGCAAAGCGTTCACGGCGACGGG TCACGCTGGCACTATGTTCACATGGAACAACATAAGCAGATTTTTCTGAATCGTTACTTT CTTTATGTTTTAAAACGGACGCCAGGCGACTGGTAAATGATATATAATTTAATTGAGCGT CAGTTGTAGGTAGAATTGCTTCTATTTCCGGGGGAATTAAATTTTCAAACCAAACGGAAA GAGTAAAGGTGCTATCAGCAGGAAAATACTTTGACTCCAGTGCATCGATATTTAATAGAT TAACATCGGTGTCTGTAATTAAATCGCGGGCCCTCATCCCAGAGATGGATCGGGTAGAAT CAGAAGAACCCATGGATGGATTCGAATCGCCCGTATTCTCCGAAAATACATCTTCTAATT CCGGATGGTGTTCCGACGCATTTTCCGATTCGTACATCGCTTATAATCCAGCCCTTCTGC TAAAAAACGATTTGTTATTTTCAGAATTGTTATTTGCCTCCCACTTAATAAATGTTCCCC GTGCAATAGAAAACAACGTCACTTATGAGGCCTCTTCGGCGGTAGGTGTGGATAATGAAA TGACCTCAAGTACCACTGAATTTATAGAAGAAATTGGAGACGTTTTGGCGTTAGACAGAG CCTGTTTGGTCTGTAGAACGCTTGATTTGTATAAACGTAAATTTGGACTGACACCGGAAT GGGTTGCGGACTACGCCATGTTATGTATGAAAAGTCTGGCATCCCCGCCCTGTGCAGTTG TCACTTTTAGCGCTGCCTTTGAATTTGTGTATCTTATGGATCGTTACTACCTGTGCCGTT ATAACGTTACTTTGGTTGGGTCCTTTGCCAGGCGCACGCTTTCCCTGTTAGATATACAAA GACATTTTTTTTTGCATGTATGTTTTCGTACCGATGGAGGGTTACCAGGTATACGACCGC CCCCCGGTAAGGAAATGGCCAACAAAGTAAGATATTCCAATTACTCCTTTTTTGTACAGG CGGTAGTTAGGGCTGCATTACTATCGATCAGCACGTCTCGTTTAGACGAAACCGAAACGC GTAAGTCATTTTACTTTAATCAGGACGGACTGACTGGAGGCCCTCAACCTTTAGCGGCCG CCTTGGCTAATTGGAAAGATTGCGCGCGGATGGTTGACTGTTCATCATCGGAACATCGCA CAAGTGGGATGATTACCTGCGCGGAACGTGCATTAAAAGAGGATATAGAGTTTGAAGATA TATTAATAGACAAACTTAAAAAATCGTCTTACGTAGAAGCAGCTTGGGGTTACGCAGACT TGGCTTTATTATTACTGAGTGGGGTTGCTACTTGGAATGTAGACGAGCGTACAAATTGTG CTATAGAAACTCGCGTTGGATGTGTTAAATCATACTGGCAGGCGAACCGGATTGAAAACT CCAGGGACGTTCCAAAACAATTTTCCAAATTTACGAGCGAGGATGCCTGTCCCGAAGTAG CATTTGGGCCTATTTTGTTAACTACCTTAAAAAACGCAAAGTGCCGTGGTCGCACGAATA CCGAATGCATGTTATGTTGTTTATTAACCATAGGGCACTATTGGATCGCTTTGCGGCAGT TTAAAAGGGATATATTAGCATACTCAGCAAATAACACAAGTTTATTTGACTGTATCGAAC CTGTAATCAATGCATGGAGCCTAGATAACCCCATTAAACTTAAATTTCCATTTAATGATG AGGGTCGATTCATAACCATTGTAAAAGCAGCAGGTTCCGAGGCCGTATATAAACATTTAT TTTGCGATCTCCTATGCGCTCTCTCGGAATTACAGACAAACCCTAAAATTTTATTTGCCC ATCCTACAACCGCGGATAAGGAAGTGTTGGAGTTATATAAAGCCCAACTGGCTGCACAAA ACAGATTTGAAGGTCGTGTATGTGCTGGCCTGTGGACATTGGCGTATGCATTTAAAGCCT ACCAGATTTTTCCACGCAAACCAACCGCCAATGCCGCATTCATACGAGATGGAGGACTTA TGCTTCGACGACATGCAATATCGCTGGTCTCCCTCGAACACACCCTATCGAAGTATGTCT AGGCGATATAAATCCGTATCTCGGAGCGGGCCTTCGATGCGTGTACGCTCCAGAACGCCA TGCCGCCGTCAAACCATTCGAGGAAAACTTATGTCAAAGGAGCGGTCTGTGTACCGCCAT TATTTTAATTACATCGCAAGGTCCCCCCCAGAAGAACTAGCTACCGTTAGAGGCTTAATC GTGCCAATTATTAAGACGACCCCTGTCACCCTTCCGTTTAACTTGGGTCAGACAGTGGCG GATAACTGCCTGTCGTTATCCGGAATGGGTTATCATTTAGGTCTCGGAGGTTATTGTCCG ACATGCACTGCATCTGGAGAACCGCGTCTATGTCGAACCGATCGGGCGGCTCTGATACTA GCATATGTTCAGCAGCTTAACAACATATACGAATATCGTGTGTTTCTTGCATCCATTTTG GCGCTATCAGACCGAGCCAACATGCAAGCAGCGTCCGCTGAACCCCTATTGTCGAGCGTA TTGGCACAACCGGAATTATTTTTTATGTATCATATTATGAGGGAGGGGGGCATGCGAGAT ATACGCGTACTTTTTTATCGTGATGGAGATGCCGGAGGGTTTATGATGTATGTTATATTT CCGGGGAAATCTGTTCACCTCCATTACAGACTAATCGATCATATACAGGCCGCGTGTCGG GGGTATAAAATAGTCGCACACGTTTGGCAGACAACATTTTTACTGTCGGTATGTCGCAAC CCAGAACAACAAACAGAGACTGTGGTGCCATCCATTGGAACATCGGACGTTTACTGTAAA ATGTGTGACCTTAACTTTGATGGAGAATTGCTTTTGGAATACAAAAGACTCTACGCATTA TTTGATGACTTTGTTCCTCCTCGGTGATTTCAGCTTCAGTGTTCATTTTATTATCCCAGC ACGGGGCGTGTATACAAACAAAGCCTGCCGCCTGCAAGCGGTTTAGCATTTTAACGTTAA CAACTCGTGTCTCTGGAATAAAACGTTTTAAAAGCCGTTCTGTGAGTTTAGTGTCGTTTC CAAATAACGCCTTAAAAGTTACACTCGCCGTCCCAATGAGATGAGAAAAATAATAGTCAA TGTTTAAAGACAGCCCGTGTGATGTTACGTGAATGGGATCTTCCGCTAAGTCAGATATTA TTAACTTACGCTTTGCTTCCCCACACCGTTTACCTGCGGTATTCTGTAAAGGATCTCCAC GTAGCAAAGCTACACTTTTTGCATCAGCCTCCACTTCGTCTGTGGGGGCCACAATAACAT AAGGGATGCGTTCTCGAACGTTTGGGATTTGACCCTGTCTCATTACTAATTTATAATATA CTGTTAAGTGAGCCAAGCGACGGTTTATGTAGGCGGATGGTGGACGACTAAGCTCGGCCG TCATAACAAACTTATTAATATCCAATTTGGGTGATGTAATCTGGCGATGTGCATCTGCAA TTATGCGTCCAAACCCGGCCATCCCAGACGGCATGGCCCGTCTATTCCATTCAGCAATGG AAACACACGACGCCTCCGCCGCAGCACGCGAGACGGTGTCGTCATATAACAACAGTTCTA CAAGTTTGCGGGCATAATCGTTAATAAATTGACAGTTGTTTTTTCTAACCAAGTCGACTC CCTTCATTAAAACCTTTCCGCCGTAAATTACCCCAATGTACTTTTTCTTTGTTATAAGCA AAAGTTTTATAAAAGTTTTTTCACACTCCAACTTTATAGGAGGACAAAACAGAGCCGTTG AAATTATATGTGCCATTTTCTCGCCGATTTTAGCTATCCCCTCAACACCAACACCCTTGA ATCGGATAAACACAGAATCCGTATCTCCATATATAACCTTTACCTCGTACGCTTTTTGGG AGAGAACGCTACTTTCAATGTCTGGAAACGCTGTAATAAAACGTTCAAATGCGGCCCAGT TATTATGAATATAATCTCTGGTACTTAATAACATTTGACGGCCAATTGTAGTGACAGTGG CCGCTACGTATAAACATGGCAGAAATCCCTGCGCAACTCCAGTAAAACCGTACACGGAAT TACAAACTACTTTTATCGCGGCTTGTTGTTTGTCTAATAACACTGCTTCATCTGAAGAAC TTCCGGGTATGCGCGCTCTAATAGCCTTGCGCATAGCCAACCAGTCTTTTAAAAGAACAC CCAGCAGACTTTCTCGAACGTTAGAGCGCACAAAAAAAAGACGTTTTCCTCCAACTGTAA AGGTGGCATAATCGGATGGATTCAAACGTTTAACCGTCTCAAAATTTAACGTTAGCGTGG TAAAACATAAGTTATGGGCCTGAATTATACTTGGATATAAACTTGCAAAATCCAATACGA CCACCGGATCGATATAAAATCCCGTATCAGGGTCAAAAACCCTGGCTCCTTTATATCCTA CATTTCGCCCACTTGACGTACCAGTGGGAGAAACGCTCTCGTCTTCATCCATCTCTTCCT CAACATCCCCGACATCGGGAATAACATCCTTATATTCAAAAGTAGCTGGGTATCCCCCAT CGGGTAAAATAAATCCTCGAGACGAAGCCAGTCCTAATAAACAGGTGTAAATCCTAACCT GCTGTCCGTCGTAAATAGCCTTGGTTAAAGTAATTCTAGCTAGCCTTGCAACCGCGGATA ACTCAAGGTGTGGTAAATATTTAAAAAACAGTTTCCCCACAAGAGCCGAGTCTTGTATAC AATATTCACCAATAATTCCTCGTGTATTCGGTCCACTAGCGTAGTATCCCGGAATGTCTT TGTAGGGCAAATCTCTCTTGGACTCATTTAGAGCTTCACGTGCAACCGAATCTAATTTAT AACTCGAGAGTTTTAATTTTTCAGTTGCAATTGCATACATATCCAGAGATATGAGACCGT TGATCTTTACCTTGCTTCGTCGCTGAAATCCGGATTTGCCAACATCCCATATCTTAAACA GACCCCCACGGTTTATACTGCCATAACCATCAAGCTTGAGACTGTATATAGAATTAAGTT TCTCCATAATAAACGCCCAATCAAAATTAACAATGTTATAACCTGTGGCAAACTCGGGAG CGTACTGTTTTACGAGGGTCATAAATGCAATTAATAGCTCGAATTCACTATCAAACTCCA GCACAGTCGGCTCCGGTAACCCCGCGTCCTTCATTTCTTGTACATACCTTTGTGGTAAGT CACAAGAGCCAAGGGAAAACAGTAAAATGTGTTCTAAAGACTGTCGAGGGATTGAATATA ATAGACAAGAAATTTGGATTACAAGATCCTCCAGATGTGTTGCATCGGGAAACGCCAGCT CATTAGATCCTCCTGATTTACATTCAATATCGAAACATAACAACTTGTAGTCAGGCCATG AGTCATCGTTTGGTATAGCCTGCAGATTATCCGACATGCAGTCAATTTCAACGTCGCTTA ACGTTAATTGGCGACTTGCCGGTCGAACTCGAACACGTTCCCCATCAACTCCAGGTTTTA GTTGATACCAACCAAAACTAACAAAGCCGGGATTATCCATTAGAAAACGAGTGGTAGCGT CTACCCGACCTTCATACTTTTTCAACTCCGGGTGAAAGTTATCACAAAGATAATTTGTAA ATTTAGATGAGGGAGAATACACCCTGTAAAACGCACATGGCTGTGTATCGTAGTAATAAA CATCTGTGCGCTCAATAACCTCAACGCGAAAGCTTTCTGGAGATGCGCTTTTAAACGAGG TACCATGAAAAGCGTTCTTGTCTCCATTTAACGTTGCATCATTTTGTGTTATCATAGAAC TGCGTAAACACTCGGCAAGTAATACAGATAACTCGCTACCGGAACGTATGCCACAAGCGG TATCCACCTCGGCTTTGTTTATATAAAAATATTGACAGATGCCGTATACATGAACTGCCA CCCTTTTTCCACATCGGGACATGCCAAGTAAAGTAATAACGGTACCAAGCGGTCGTGTTG CAGTTGCAAACCGGGATACATCTCCATTAGACGCGGCTTCTGTTGTTTCGACAATATCAT ATACATGGAATGTGTTAAAGCGGGGGTCAAACTTATCCCCACGAAAGTCGATTTCCCCCC AAATATTCACGCGTCTAGGCCAGGGGCTGGAACAACGAAAATCCAGAATCGGAACTTCTT TTCCATTACAGTAAACTTTAGGCGGTCGACTAAGTGTACCGACGTGAACCCCCTTTCGTT CTTCCATGGGCACATCTTCATCTAAACATTTAGGGGCCAAAAATTGAAACGATGACATGG TAGTTTTGTAACTATGAAGAAATTCTCTGTTACTACCGCGCCCGGTTCTTGGGTTATATG TAATCCCTGATGCTTGGGTTAAAAAGGGATTACAAAACCCCGTTCTGATCGCCATTTTAT GTTAACGATTGATAATCTTGTAAAAAGCCAGTGTTACTGAGTAACACAACCCCACGCCCT TCTAATACATAAAGTGTAATCACGTGATTTGTTGTGGTTTCCGCATATGTAATACCCGTT TAAAAGCCTCTCTTCTTAATGTATCGACAGACTGGGTTTTGGGTGGTCATTTGACCCTGC CAACAACCCCCCATTATTACGAGTACTTCACCAAAATGGAAAATACTCAGAAGACTGTGA CAGTGCCCACGGGGCCCCTGGGTTACGTTTATGCGTGCCGGGTTGAAGATTTGGATCTGG AGGAAATTTCATTTTTGGCCGCTCGTAGCACGGACTCTGATTTGGCTTTATTACCTTTGA TGCGTAATTTGACCGTGGAAAAAACTTTTACATCCAGCCTGGCGGTGGTTTCTGGAGCAC GCACTACGGGTCTTGCCGGAGCTGGTATTACCTTAAAACTCACTACCAGTCATTTCTATC CATCTGTCTTTGTCTTTCACGGAGGCAAACACGTTTTACCCAGCTCCGCGGCCCCAAATC TCACACGCGCGTGTAACGCGGCTCGAGAACGGTTTGGGTTTTCACGCTGCCAAGGGCCTC CTGTTGACGGTGCTGTTGAGACGACCGGCGCTGAGATATGCACCCGCCTTGGATTAGAGC CAGAAAATACAATATTATACTTGGTGGTCACGGCATTGTTTAAGGAAGCCGTATTTATGT GCAACGTGTTTCTGCATTATGGAGGACTCGATATTGTTCATATTAACCATGGGGATGTTA TACGTATACCGTTATTTCCGGTACAACTTTTCATGCCCGATGTTAACCGTCTGGTACCCG ACCCATTCAACACTCATCACAGGTCTATCGGAGAGGGTTTTGTATACCCAACACCCTTTT ATAACACCGGGTTGTGCCATTTAATACATGACTGTGTTAAATGGCACAACCCGGTGTTAT TGCTCCCATGGCCGTTGCCTTGCGCGTCAGAAATGTAACTGCCGTCGCCCGAGGAGCGGC CCACCTTGCTTTTGATGAAAATCACGAGGGGGCAGTACTCCCCCCTGACATTACGTACAC GTATTTTCAGTCCTCTTCAAGTGGAACCACTACCGCCCGTGGAGCGCGTCGAAACGATGT CAACTCCACGTCTAAGCCTAGCCCATCGGGGGGGTTTGAAAGACGGTTGGCGTCTATTAT GGCCGCTGACACAGCCTTGCACGCAGAAGTTATATTCAACACTGGAATTTACGAAGAAAC TCCAACAGATATCAAAGAATGGCCAATGTTTATAGGCATGGAGGGCACTTTGCCAAGGCT AAACGCTCTGGGGTCATATACCGCTCGTGTGGCCGGGGTCATTGGTGCGATGGTTTTCAG CCCAAATTCTGCGTTGTATCTAACTGAGGTGGAGGATAGCGGGATGACCGAAGCCAAGGA TGGGGGACCGGGTCCATCATTTAATCGATTTTACCAGTTTGCCGGACCTCATTTAGCTGC GAATCCCCAAACAGATCGAGATGGCCACGTTCTATCCAGTCAGTCTACGGGTTCATCAAA CACAGAGTTTAGCGTGGATTATTTGGCACTCATTTGTGGATTTGGAGCACCCCTGTTGGC GCGACTGCTTTTTTATCTAGAACGCTGTGACGCTGGTGCGTTTACAGGGGGTCACGGGGA TGCGTTAAAATATGTTACGGGGACCTTTGACTCTGAAATTCCATGTAGTTTATGTGAAAA ACATACGCGGCCGGTATGCGCTCACACAACAGTACACCGACTTAGACAACGCATGCCGCG ATTTGGACAAGCCACCCGTCAACCTATTGGGGTGTTTGGAACAATGAACAGCCAATATAG CGACTGCGATCCTCTAGGAAACTATGCTCCATATTTAATCCTTCGAAAACCCGGGGATCA AACGGAAGCAGCAAAGGCAACCATGCAGGACACTTATAGGGCTACACTAGAACGCTTGTT TATCGATCTAGAACAAGAGCGACTACTGGATCGCGGTGCCCCATGTTCTTCCGAGGGACT ATCGTCTGTCATTGTGGATCATCCAACGTTTCGTCGCATATTAGACACACTGCGTGCGCG TATAGAACAGACAACAACACAATTTATGAAAGTGTTGGTTGAGACCCGCGATTATAAGAT CCGTGAAGGATTATCCGAAGCCACCCATTCAATGGCGTTAACGTTTGATCCATACTCAGG AGCATTTTGTCCCATTACCAATTTTTTAGTTAAACGAACACACCTAGCCGTGGTACAAGA CTTAGCATTAAGCCAGTGTCATTGTGTATTTTACGGACAGCAAGTTGAGGGGCGGAACTT TCGTAACCAATTCCAGCCTGTTTTGCGGCGGCGTTTTGTTGACCTGTTTAATGGGGGGTT TATATCAACACGCTCTATAACCGTAACATTATCTGAAGGTCCTGTATCCGCCCCAAATCC GACATTGGGACAAGACGCGCCCGCGGGGCGTACCTTTGATGGGGATTTAGCGCGCGTAAG CGTGGAAGTTATTCGGGATATACGAGTTAAAAATAGGGTCGTTTTTTCAGGTAACTGTAC AAATCTCTCTGAGGCAGCCCGGGCAAGGCTTGTAGGCCTTGCAAGTGCGTACCAACGCCA AGAAAAAAGAGTGGATATGTTACACGGGGCCCTAGGGTTTTTGCTTAAACAGTTTCACGG CCTGTTATTTCCTCGGGGTATGCCACCAAACAGTAAATCCCCCAACCCGCAGTGGTTTTG GACCCTGTTACAACGCAACCAGATGCCGGCAGATAAACTTACACACGAAGAGATTACCAC TATTGCAGCTGTTAAACGGTTTACCGAGGAATATGCAGCAATAAACTTTATTAATCTACC CCCAACCTGCATAGGAGAATTAGCCCAGTTTTATATGGCAAATCTTATTCTTAAATACTG CGATCATTCACAGTACCTTATAAATACCTTAACTTCTATAATTACGGGTGCCAGGCGCCC GCGTGACCCATCATCCGTTTTGCATTGGATTCGTAAAGATGTCACGTCCGCCGCGGACAT AGAAACCCAAGCAAAGGCGCTTCTTGAAAAAACGGAAAACTTACCGGAATTATGGACTAC GGCTTTTACTTCAACTCATTTAGTCCGCGCGGCCATGAATCAACGTCCCATGGTCGTTTT AGGAATAAGCATTAGTAAATATCACGGAGCGGCAGGAAACAACCGCGTCTTTCAGGCAGG GAATTGGAGCGGTTTAAACGGGGGTAAAAATGTATGCCCGCTATTTACATTTGATCGCAC TCGCCGTTTTATAATAGCATGTCCTAGAGGAGGTTTTATCTGCCCCGTAACAGGTCCCTC GTCGGGAAATCGAGAAACCACCCTATCCGACCAAGTTCGCGGTATAATTGTCAGTGGCGG GGCCATGGTTCAATTAGCCATATACGCCACGGTTGTGCGTGCAGTGGGCGCTCGAGCACA ACATATGGCATTTGACGACTGGTTAAGTCTTACAGACGATGAGTTTTTAGCCAGAGACTT GGAGGAGTTACACGACCAGATTATCCAAACCCTGGAAACGCCCTGGACCGTAGAAGGCGC TCTAGAAGCCGTAAAGATTCTAGATGAAAAAACGACAGCGGGAGATGGGGAAACCCCCAC AAACCTAGCATTTAATTTTGATTCTTGTGAACCAAGCCATGACACCACATCTAACGTATT AAACATTTCAGGGTCAACTGTCCCTGGTCTTAAACGACCCCCCGAAGATGACGAACTCTT TGATCTTAGTGGTATTCCCATAAAACATGGGAACATTACAATGGAAATGATTTAACCTCC CTCTTTATCCAATTAAAGCCCACACGCGGGTGAGTGTACGTAATAAACAAGTCAATATTA CATATTCTGTTGTGTTTTCTTTTTTGCGTGTAGTCCTTACCCATATGACCTGTAATATAG TGTGTCTCCAACCATTCAGCTTACAGTCCAGTGGACAGTAACAGCCCGATAACATGGAAT TGGATATTAATCGAACATTGTTGGTTCTACTGGGTCAAGTTTATACGTACATCTTTCAGG TTGAACTGCTACGTCGCTGTGATCCAAGGGTGGCGTGTCGCTTTTTATATCGGTTAGCGG CTAACTGTTTGACAGTTCGTTATTTATTAAAGCTGTTTCTCCGGGGATTTAATACCCAGC TAAAATTTGGAAACACTCCCACGGTTTGTGCACTGCATTGGGCATTATGTTATGTAAAGG GAGAAGGTGAGCGTTTGTTTGAGTTGCTACAACATTTTAAAACGCGTTTTGTTTATGGTG AGACCAAAGACTCAAACTGTATCAAAGATTACTTTGTCTCAGCGTTTAACTTAAAAACCT GCCAATATCACCATGAGCTGTCGTTAACAACATACGGAGGTTACGTATCGAGTGAAATTC AGTTTTTACACGACATTGAGAATTTTTTAAAACAGCTTAATTACTGCTATATTATCACGT CTTCTCGTGAGGCGCTAAACACATTGGAAACCGTGACGCGGTTTATGACAGATACTATAG GAAGCGGTCTAATACCACCCGTGGAGTTGTTTGATCCGGCGCATCCATGTGCTATATGTT TTGAAGAATTATGTATAACAGCTAACCAAGGTGAGACCTTACATCGTAGATTATTAGGAT GTATCTGCGATCACGTTACTAAGCAAGTTCGGGTTAACGTGGATGTTGACGATATTATTC GGTGTTTACCATATATCCCTGATGTACCGGATATCAAACGTCAATCCGCCGTTGAAGCGT TACGAACACTTCAAACCAAGACGGTAGTCAATCCCATGGGAGCAAAGAACGATACGTTTG ACCAAACATACGAAATTGCGAGCACCATGCTTGATTCTTATAATGTTTTTAAACCTGCCC CTCGGTGTATGTACGCCATCAGCGAGCTTAAATTCTGGTTAACGTCTAATTCCACTGAAG GACCCCAACGTACTTTAGACGTGTTTGTTGATAATTTGGATGTATTAAACGAACATGAAA AACACGCAGAACTTACAGCCGTAACGGTTGAGTTGGCGTTATTTGGAAAAACTCCCATAC ACTTTGATAGGGCGTTTTCTGAAGAACTCGGATCTCTGGATGCAATTGATAGTATTTTGG TTGGCAATCGCTCATCCTCACCAGACAGTCAGATAGAAGCATTAATTAAAGCCTGTTATG CCCATCATCTATCGTCGCCTCTCATGCGTCACATTTCTAACCCGAGTCATGATAACGAAG CCGCCTTACGCCAACTTTTAGAAAGAGTTGGGTGTGAGGATGATTTAACCAAAGAGGCGA GTGACAGCGCTACAGCATCCGAATGTGATCTGAACGATGATAGTAGCATAACTTTTGCTG TTCATGGATGGGAAAACCTGTTATCCAAAGCAAAAATTGACGCTGCGGAAAGAAAACGAG TATATCTTGAACATCTGTCTAAGCGCTCTCTAACCAGCCTCGGTAGATGTATCCGCGAAC AGCGCCAAGAGCTAGAAAAAACACTCAGGGTAAACGTTTATGGAGAGGCCTTATTGCAGA CATTTGTTTCGATGCAAAATGGGTTTGGGGCACGAAACGTGTTTTTAGCTAAGGTTTCCC AGGCAGGGTGTATTATCGACAATCGCATTCAGGAAGCGGCCTTTGATGCACATAGATTTA TAAGGAATACCTTAGTTCGACATACAGTAGATGCGGCTATGTTACCTGCACTTACACATA AATTTTTTGAGTTGGTCAACGGCCCATTGTTTAATCACGATGAACACCGTTTTGCACAAC CCCCTAACACCGCCTTATTTTTTACCGTGGAAAACGTTGGCCTATTTCCGCACTTAAAAG AGGAATTGGCAAAGTTTATGGGCGGTGTCGTTGGTTCCAACTGGCTTCTCAGTCCATTTA GGGGCTTTTATTGCTTTTCTGGGGTAGAAGGCGTTACTTTTGCACAGAGACTTGCCTGGA AATATATTAGGGAGCTTGTGTTTGCAACCACACTATTCACCTCTGTTTTCCATTGTGGGG AGGTGCGGTTATGTCGCGTTGACCGTCTAGGTAAGGATCCACGCGGGTGCACGTCTCAAC CTAAAGGTATAGGCAGTTCCCACGGACCCTTAGACGGCATTTATTTAACGTACGAAGAAA CATGTCCCCTTGTGGCTATTATTCAAAGTGGAGAAACAGGGATCGACCAGAATACCGTCG TAATCTACGATTCAGACGTTTTTTCTCTTCTATACACCCTAATGCAGCGGCTGGCTCCGG ATTCAACGGACCCGGCGTTTTCATAACCTCCGTTACGGGGGTGTGGTTATGCTTTTTATG CATATTTTCTATGTTTGTTACGGCGGTTGTGTCGGTCTCTCCAAGCTCGTTTTATGAGAG TTTACAAGTAGAGCCCACACAATCAGAAGATATAACCCGGTCTGCTCATCTGGGCGATGG TGATGAAATCAGAGAAGCTATACACAAGTCCCAGGACGCCGAAACAAAACCCACGTTTTA CGTCTGCCCACCGCCAACAGGCTCCACAATCGTACGATTAGAACCAACTCGGACATGTCC GGATTATCACCTTGGTAAAAACTTTACAGAGGGTATTGCTGTTGTTTATAAAGAAAACAT TGCCGCGTACAAGTTTAAGGCGACGGTATATTACAAAGATGTTATCGTTAGCACGGCGTG GGCCGGAAGTTCTTATACGCAAATTACTAATAGATATGCGGATAGGGTACCAATTCCCGT TTCAGAGATCACGGACACCATTGATAAGTTTGGCAAGTGTTCTTCTAAAGCAACGTACGT ACGAAATAACCACAAAGTTGAAGCCTTTAATGAGGATAAAAATCCACAGGATATGCCTCT AATCGCATCAAAATATAATTCTGTGGGATCCAAAGCATGGCATACTACCAATGACACGTA CATGGTTGCCGGAACCCCCGGAACATATAGGACGGGCACGTCGGTGAATTGCATCATTGA GGAAGTTGAAGCCAGATCAATATTCCCTTATGATAGTTTTGGACTTTCCACGGGAGATAT AATATACATGTCCCCGTTTTTTGGCCTACGGGATGGTGCATACAGAGAACATTCCAATTA TGCAATGGATCGTTTTCACCAGTTTGAGGGTTATAGACAAAGGGATCTTGACACTAGAGC ATTACTGGAACCTGCAGCGCGGAACTTTTTAGTCACGCCTCATTTAACGGTTGGTTGGAA CTGGAAGCCAAAACGAACGGAAGTTTGTTCGCTTGTCAAGTGGCGTGAGGTTGAAGATGT AGTTCGCGATGAGTATGCACACAATTTTCGCTTTACAATGAAAACACTTTCTACCACGTT TATAAGTGAAACAAACGAGTTTAATCTTAACCAAATCCATCTCAGTCAATGTGTAAAGGA GGAAGCCCGGGCTATTATTAACCGGATCTATACAACCAGATACAACTCATCTCATGTTAG AACCGGGGATATCCAGACCTACCTTGCCAGAGGGGGGTTTGTTGTGGTGTTTCAACCCCT GCTGAGCAATTCCCTCGCCCGTCTCTATCTCCAAGAATTGGTCCGTGAAAACACTAATCA TTCACCACAAAAACACCCGACTCGAAATACCAGATCCCGACGAAGCGTGCCAGTTGAGTT GCGTGCCAATAGAACAATAACAACCACCTCATCGGTGGAATTTGCTATGCTCCAGTTTAC ATATGACCACATTCAAGAGCATGTTAATGAAATGTTGGCACGTATCTCCTCGTCGTGGTG CCAGCTACAAAATCGCGAACGCGCCCTTTGGAGCGGACTATTTCCAATTAACCCAAGTGC TTTAGCGAGCACCATTTTGGATCAACGTGTTAAAGCTCGTATTCTCGGCGACGTTATCTC CGTTTCTAATTGTCCAGAACTGGGATCAGATACACGCATTATACTTCAAAACTCTATGAG GGTATCTGGTAGTACTACGCGTTGTTATAGCCGTCCTTTAATTTCAATAGTTAGTTTAAA TGGGTCCGGGACGGTGGAGGGCCAGCTTGGAACAGATAACGAGTTAATTATGTCCAGAGA TCTGTTAGAACCATGCGTGGCTAATCACAAGCGATATTTTCTATTTGGGCATCACTACGT ATATTATGAGGATTATCGTTACGTCCGTGAAATCGCAGTCCATGATGTGGGAATGATTAG CACTTACGTAGATTTAAACTTAACACTTCTTAAAGATAGAGAGTTTATGCCGCTGCAAGT ATATACAAGAGACGAGCTGCGGGATACAGGGTTACTAGACTACAGTGAAATTCAACGCCG AAATCAAATGCATTCGCTGCGTTTTTATGACATAGACAAGGTTGTGCAATATGATAGCGG AACGGCCATTATGCAGGGCATGGCTCAGTTTTTCCAGGGACTTGGGACCGCGGGCCAGGC CGTTGGACATGTGGTTCTTGGGGCCACGGGAGCGCTGCTTTCCACCGTACACGGATTTAC CACGTTTTTATCTAACCCATTTGGGGCATTGGCCGTGGGATTATTGGTTTTGGCGGGACT GGTAGCGGCCTTTTTTGCGTACCGGTACGTGCTTAAACTTAAAACAAGCCCGATGAAGGC ATTATATCCACTCACAACCAAGGGGTTAAAACAGTTACCGGAAGGAATGGATCCCTTTGC CGAGAAACCCAACGCTACTGATACCCCAATAGAAGAAATTGGCGACTCACAAAACACTGA ACCGTCGGTAAATAGCGGGTTTGATCCCGATAAATTTCGAGAAGCCCAGGAAATGATTAA ATATATGACGTTAGTATCTGCGGCTGAGCGCCAAGAATCTAAAGCCCGCAAAAAAAATAA GACTAGCGCCCTTTTAACTTCACGTCTTACCGGCCTTGCTTTACGAAATCGCCGAGGATA CTCCCGTGTTCGCACCGAGAATGTAACGGGGGTGTAAATAGCCAGGGGGTTTGTTTTAAT TTATTAATAAAAATGTGTATTACGTTACTCATGTGTCTCCATTACGCATCACAGGGGGTA TTTATACCCGATAATATACAAAACGCGTTTTGTACCTCTACCGCACCCGATATCTTAACG GGGTTATTATGGAATCGTCTAACATTAACGCGCTACAACAACCGTCGTCTATCGCACATC ATCCGTCCAAACAGTGCGCTTCAAGTCTCAATGAAACAGTAAAAGATTCTCCCCCCGCGA TTTATGAAGATAGGTTAGAACACACGCCGGTACAATTACCCCGCGACGGTACACCCCGAG ACGTATGTTCTGTGGGACAGCTAACCTGTCGAGCATGTGCAACGAAACCTTTTCGCCTTA ACCGCGACAGCCAATACGACTACTTAAACACATGTCCAGGGGGCCGTCATATTTCACTGG CACTGGAGATTATAACGGGTCGATGGGTTTGCATCCCGCGTGTGTTTCCGGATACCCCAG AGGAAAAATGGATGGCGCCATATATTATTCCAGACCGAGAACAACCATCATCAGGGGATG AAGATTCTGACACCGATTAAATTTAACTTAAATAAAACCTTACCACCCATAAAAACGCCT TCTGTTTGTTTAACACGACACCGCTTAACAAAAAAAAAAAAACCAAACACGCCTTTTATG AATGTAATACTTTTATTTGTTGGTTAACACCGCCCCACCATCATCTGATTTGCAAACATA TCGGCGTCGTCTGCCGTGGACCCCTGTATTAAAGGGGCCTTGGAACTAGCCTCCACTGCA TTTACATCTTGTCCAACTGTATCTGTATGTGGGGTGCTTGTTGTATTTTGGGATGAGCAT AGACCCGAAACGCTTTGAAGCTGTTTTAATAAAATCGATATTCGAGGATCCCGTGTCCCC TCTGGTATATTTGTATGGTGCGACAAAGGCATTTGTGTCCCATTTTGTGATTTTAGCTCT GTAACCTCCTGTTGCAGTTTTGCCACAACCCCAGCAAGCTCTTCGTGCTGACCATTAGAA ACTCTGTGTCTCCTCTGCCAATATGATGGAGAAACTCGACGTCTCCGATGCGTTATATAC GTTGGTTCACCGGGAAAATATATATTTGAGGGAAACTCTCCGTCCATTTGAGACTCCCCA CTAGAAAAAGAATCCAATTCCCTTTGATCCATGCTCTTGAAATCCCGTTTTCCTGGACGA CGGACATCGGTTTTGTCTGGAAAATTTACACACGGGGTCTGCAAGTCAATACCCCGTTCG GCGGCCAATGCGTTCATAAATGCGGACATTTGCATTTCCAAACGATTGGGTGGTGGATAT CCCGGAAACCCGTACGGTCCCCCGAAGTGTCCCGGAGGGCAACCATAACCCCCTGTATTA GGTGGGAAGGCAGGCGGGTGTGGAGATCCATATGGCCCGACGATATACTGTCCGTTATTT GGAGCTCCAATTGATACCTGCGGATTTTTAGTCTGCCCGGTTAACAGCTGTGAATAATAC GCGGTAGGTATCAGTACAAATTCCCCTCCGGTTGGAACGCCCGACGGGGGCTGTGGTGAG ATACCACTAGCGTTACCTGCTACAGAAGCCATATCGCTGTCGTTCCTACACAACTGCGTA ACCTTTAAATGCGGAACAGTCTTTTCACAATCTTCATTTGATTCCCCAACACCCAACGCG AGATCGTATATGGGCCCGCCGGGGTGGAATGTGGCGTTTATAACACCCGCGTTGGGTAAT TTAGACTCCACCCCATTAACGTTGGTTATCCGAGCAAGTCCATATCCGGTGCTAGCCTGA AGATAAACGTGACCCATAATTCCGGCTTCGCGTCTACGTTTTGCAACCACGTCCCATCTA TCTCTTAAAAGCATATTGTTCACGGCTGTGGATAATAACACCTTGGCGAGTTTATCTTCG CTAACCTTCCATACTTTATTTAAACCCGCGTAGTCTTTAACCAGCGACAATAACCGCGCT TTACTTTCCATCGATAAAACCCGGAATGGTTCAATTGAAGATTCCGGGGTACAGTCATAA TTGACCACTGTTCCAACGCGTCTTCCAACAACACATAACGCAACATGGGTAAAAAAATTA CCGTCTGGTATCTCATTCGGGGACAATCGTTTTGAAGACAGGGATACGGAGGGTAAGTAA TTTGTGACCAAGTATAACGCACGTTCTAGCGGAGATAATACAGAATCTCTATTTCCAAAA AAATTCGAATGGGCCGCTTCAAACAGCACCGCATGTAGTTGAGGGCATCTAACGATACCC AAAAAAAAAGGTCCGCGTATGTCCTCAATGATTGCGATTACTTCACCCACGACACAGTCT TTTCGATGATCGATGTTTATTGGTATTTTACTAGTAGGCGGCAAAGCGGACCGCACAATC TCTGGGGTAATATTTAATTCCCCTTCGTCCTTTGAATATAAGGCTAAATACCCAGCCACG TATAACGCTTCACAGTTCTCTTCGTCAGCTTCAGCAGCCATTATAAACACCCCACGGACC GGATAGTGAATACTCACGGTGTGGAGGCAAACTGAGGAATGACACCCAAACAGACAAAAT ATAGAAGATCATAGTCACTGTTAACGTTGAACTGCGCAAGGCGGCGACTTTCTTCCAATG CCGCCCTTACACGCGGTTGGTGCATTAACATTCCAAGTCCCCGTTCATATTGCAACATAA CACTGTCATGTATTGATACCACGGCGGCTATGGGTAGGGATGTAACATTTTGTCGGCGGT GTTCTAATTCCAATGCAATTAAGCTTATGAGCCGATCTTGGTACTGTCCAGAAGAAATAT CTATTACGGTTCTTCCTAAACTTCCACGACTAAGCTGGGTATGCGCGTCTAAACAAAGAG CAACTAATCCAGGAAACATTTCAGTCAGCTCTGTGGTCCGATTTAACGTATACAGTGGTG CTATATATCGTTCACATAAAAATTGAAAGTTATTATTACCGCTTTTAAACTTCCCATCAA ACCCCGTCGCTCCGCGCAAGATTACATTGTTGGTAGGGGTTCCTGTTGCTTCTGACACAA TCAAACCCAGTTGAAAATTATTTTTTAGTTTATCTCCGTATACGTTCCCGTTCCATAATA AGCGCCTTAATAATAATAACGCCGTAATCGTGTCAATTGTTAACCTTAATAGAGTTTGGT CTTCCATAAGAAACACGTTTTGGGCCCGTTCTAAATACGCCGCGGCCGCCTGTTGAATCT TGTCCACATATGCGGTATGATTGCGATCAATAATGTCATTAACCCCAGGATTAAACTGTC CAGGTGCAGGCGGTAGGACCTGCAACCGTATAAGCGCATCCATAACAGAATGTGACGTTA AGGCGCCTTGATCATACCGCCCCCCACGAGCATGAAACTGGTCGCGTGGTAGACGATCAT AGCAAAATTGATAACTGTTTTTATTTTCGTGTGTTGTCATATAATTCACAAATGTCTCAG TATATTCCGGTAGGTGCTCTATAAGGTTCCCGAAGGACGAAACTTGAGGTTCGTGGACAC TATTAGATGTCCTATACATTAAATATAAACATAATACCGCACACTCGAACGCGGAGTACG CTCTATCTCCAACATACATTCTCCCGGCGGACTGTAGACATGTTACCGTTGTGTTCATAA ACGTACGGGAAATGCGCCCGTCTTTACAATCAACTCCGCGTGCAGCTACGGGCCTATCTA ACACAAGCCGTTCCTGCAGAGTACGATACCATGGCCCGAAAACAATCCCTGGAGAGTTAT TGCCCCTTGCCCTTCCCAAGTACACCAGGGTGATAAAATCCACTTGAAAGTTTGTATCGT ACTGCAACGGTGCATCATTTTTGGCAATCTGTACCTCGGGGTGTATAGACTCATTGCGTA TTATTTCTGTACGTGTACATTCCTCAGATTGTGCATCTGCTTCTTCCGCCTCGGCAGCAG CCGTCTCCAGGGAATCCAAAACCTTGGCCATGCGCGTTAGTTGGTCTTCGAGGGGCTTTA AACGACGATCTATTTCCGTTGGTAACGTAATCGTTTCCCCGCGAAGGTTGTCTAATGCGG CAACGGCCGCCGCATTTTTTAACGTTAACGTATTTTTTTCCAAATCGGGATTCATACGCC CTCTTAACTCAAACGCGGGAGCCGTCCAGTAGTGTATGGGGAAGTTGGGGGCTATAAAGT TCTTAGTGGTAGACAAAAATATCCCACATTTATTCGGAAACGAGATAGATCCGAACCCAT ATCTCGCCGTCATGGTGTCTGCAGCAAACAAAGTCAACTGGCGTGAATATAAACCGGTAC TGCTTTAAAAGCTGTTTTCTTACCCATGGGAAAACATCCCGGTTATACTTTGTAAAATTC CACCACAAGCACCTAAAGAAGGCCTTCTAAGGGGTAAATCCACCCCACAAGCTGCATTTT CTTCAAACTTTGTTAAAGCGGAACGATGGCATGATTTCGCACGCTTTTTCGCAAGAGAAC ATACGTGAATTTTCTTTTTGCATAGACGTCTTCGCTCTCTAACGGACCTTATCGGGGGGG TATATTCCGCTACATTCTCCAAATGCGACGCTAGCATAACAAGGTTTCCATGAATCACCT TTGGGGGTAACCGAGTTACCTGTAACAGGTTCAGACCCCGTTGAGATACAAACACAAGGA GGGGGGTCACCATTATTTCATCAGATCCCGTGGGTGTGGTTTCCTTTATTAAAGCCACGG TATCCCTCAGCTGGCGCATACCCTCGCAAAACTGGTGATACTTAGTAGGGGTATGTATAT TAGCGCTAAAACGGCAAGATTTTAATTCCACTATAAAACAAACGGTCTTTCCGGCACCAC TGGATTCCGTTTGTATAATACAAATACAATCGGGGCGTCGGCGTCCCAAATTTACTTCAA ACGACATTGATATGCGTACAGCCCTTTGAACATCCACGTGGGATAACGGCGACAGGAGTT TTGCCAGCCTCGGGTTGAACGCGTCCGCGAAACCTCGACGTACGTTATCAATATCCTTTT TGAGTACATCGTAAAAACGAGTGTGACAACGTTGTCCCAAACGAAAACACTTGGCCCGAA TTTGACTAGCGGACATATTTGAAGTTCCGTCCCAGAAGATAACCTAAGACGCGTTTGTCT ACAATAAACATGTCAACGGATAAAACCGATGTAAAAATGGGCGTTTTGCGTATTTATTTG GACGGGGCGTATGGAATTGGAAAAACAACCGCCGCCGAAGAATTTTTACACCACTTTGCA ATAACACCAAACCGGATCTTACTCATTGGGGAGCCCCTGTCGTATTGGCGTAACCTTGCA GGGGAGGACGCCATTTGCGGAATTTACGGAACACAAACTCGCCGTCTTAATGGAGACGTT TCGCCTGAAGACGCACAACGCCTCACGGCTCATTTTCAGAGCCTGTTCTGTTCTCCGCAT GCAATTATGCATGCGAAAATCTCGGCATTGATGGACACAAGTACATCGGATCTCGTACAA GTAAATAAGGAGCCGTATAAAATTATGTTATCCGACCGACACCCAATCGCCTCAACTATA TGTTTTCCCTTGTCCAGATACTTAGTGGGAGATATGTCCCCAGCGGCGCTTCCTGGGTTA TTGTTTACGCTTCCCGCTGAACCCCCCGGGACCAACTTGGTAGTTTGTACCGTTTCACTC CCCAGTCATTTATCCAGAGTAAGCAAACGGGCCAGACCGGGAGAAACGGTTAATCTGCCG TTTGTTATGGTTCTGAGAAATGTATATATAATGCTTATTAATACAATTATATTTCTTAAA ACTAACAACTGGCACGCGGGCTGGAACACACTGTCATTTTGTAATGATGTATTTAAACAG AAATTACAAAAATCCGAGTGTATAAAACTACGCGAAGTACCTGGGATTGAAGACACGTTA TTCGCCGTGCTTAAACTTCCGGAGCTTTGCGGAGAGTTTGGAAATATTCTGCCGTTATGG GCATGGGGAATGGAGACCCTTTCAAACTGCTTACGAAGCATGTCTCCGTTCGTATTATCG TTAGAACAGACACCCCAGCATGCGGCACAAGAACTAAAAACTCTGCTACCCCAGATGACC CCGGCAAACATGTCCTCCGGTGCATGGAATATATTGAAAGAGCTTGTTAATGCCGTTCAG GACAACACTTCCTAAATATACCTAGTATTTACGTATGTACCAGTAAAAAGATGATACACA TTGTCATACTCGCGTGTACGTGTTTTTCTTTTTTATATATGCGTCATTTATTACCACATC CTTTAATCCCGCCTTTATCTCCCTAAAACGGAGTGGTAATATTAAAAGCCGCCAAGCCTG TTGGTGGGTGAGGAGGGGTAAAGGCACGCTGTGTGCATAACGTTGCGGTGATATTGTAGC GCAAGTAACAGCGACTATGTTTGCGCTAGTTTTAGCGGTGGTAATTCTTCCTCTTTGGAC CACGGCTAATAAATCTTACGTAACACCAACCCCTGCGACTCGCTCTATCGGACATATGTC TGCTCTTCTACGAGAATATTCCGACCGTAATATGTCTCTGAAATTAGAAGCCTTTTATCC TACTGGTTTCGATGAAGAACTCATTAAATCACTTCACTGGGGAAATGATAGAAAACACGT TTTCTTGGTTATTGTTAAGGTTAACCCTACAACACACGAAGGAGACGTCGGGCTGGTTAT ATTTCCAAAATACTTGTTATCGCCATACCATTTCAAAGCAGAACATCGAGCACCGTTTCC TGCTGGACGTTTTGGATTTCTTAGTCACCCTGTGACACCCGACGTGAGCTTCTTTGACAG TTCGTTTGCGCCGTATTTAACTACGCAACATCTTGTTGCGTTTACTACGTTCCCACCAAA CCCCCTTGTATGGCATTTGGAAAGAGCTGAGACCGCAGCAACTGCAGAAAGGCCGTTTGG GGTAAGTCTTTTACCCGCTCGCCCAACAGTCCCCAAGAATACTATTCTGGAACATAAAGC GCATTTTGCTACATGGGATGCCCTTGCCCGACATACTTTTTTTTCTGCCGAAGCAATTAT CACCAACTCAACGTTGAGAATACACGTTCCCCTTTTTGGGTCGGTATGGCCAATTCGATA CTGGGCCACCGGTTCGGTGCTTCTCACAAGCGACTCGGGTCGTGTGGAAGTAAATATTGG TGTAGGATTTATGAGCTCGCTCATTTCTTTATCCTCTGGACTACCGATAGAATTAATTGT TGTACCACATACAGTAAAACTGAACGCGGTTACAAGCGACACCACATGGTTCCAGCTAAA TCCACCGGGTCCGGATCCGGGGCCATCTTATCGAGTTTATTTACTTGGACGTGGGTTGGA TATGAATTTTTCAAAGCATGCTACGGTCGATATATGCGCATATCCCGAAGAGAGTTTGGA TTACCGCTATCATTTATCCATGGCCCACACGGAGGCTCTGCGGATGACAACGAAGGCGGA TCAACATGACATAAACGAGGAAAGCTATTACCATATCGCCGCAAGAATAGCCACATCAAT TTTTGCGTTGTCGGAAATGGGCCGTACCACAGAATATTTTCTGTTAGATGAGATCGTAGA TGTTCAGTATCAATTAAAATTCCTTAATTACATTTTAATGCGGATAGGAGCAGGAGCTCA TCCCAACACTATATCCGGAACCTCGGATCTGATCTTTGCCGATCCATCGCAGCTTCATGA CGAACTTTCACTTCTTTTTGGTCAGGTAAAACCCGCAAATGTCGATTATTTTATTTCATA TGATGAAGCCCGTGATCAACTAAAGACCGCATACGCGCTTTCCCGTGGTCAAGACCATGT GAATGCACTTTCTCTCGCCAGGCGTGTTATAATGAGCATATACAAGGGGCTGCTTGTGAA GCAAAATTTAAATGCTACAGAGAGGCAGGCTTTATTTTTTGCCTCAATGATTTTATTAAA TTTCCGCGAAGGACTAGAAAATTCATCTCGGGTATTAGACGGTCGCACAACTTTGCTTTT AATGACATCCATGTGTACGGCAGCTCACGCCACGCAAGCAGCACTTAACATACAAGAAGG CCTGGCATACTTAAATCCTTCAAAACACATGTTTACAATACCAAACGTATACAGTCCTTG TATGGGTTCCCTTCGTACAGACCTCACGGAAGAGATTCATGTTATGAATCTCCTGTCGGC AATACCAACACGCCCAGGACTTAACGAGGTATTGCATACCCAACTAGACGAATCTGAAAT ATTCGACGCGGCATTTAAAACCATGATGATTTTTACCACATGGACTGCCAAAGATTTGCA TATACTCCACACCCATGTACCAGAAGTATTTACGTGTCAAGATGCAGCCGCGCGTAACGG AGAATATGTGCTCATTCTTCCAGCTGTCCAGGGACACAGTTATGTGATTACACGAAACAA ACCTCAAAGGGGTTTGGTATATTCCCTGGCAGATGTGGATGTATATAACCCCATATCCGT TGTTTATTTAAGCAAGGATACTTGCGTGTCTGAACATGGTGTCATAGAGACGGTCGCACT GCCCCATCCGGACAATTTAAAAGAATGTTTGTATTGCGGAAGTGTTTTTCTTAGGTATCT AACCACGGGGGCGATTATGGATATAATTATTATTGACAGCAAAGATACAGAACGACAACT AGCCGCTATGGGAAACTCCACAATTCCACCCTTTAATCCAGACATGCACGGGGATGACTC TAAGGCTGTGTTGTTGTTTCCAAACGGAACTGTGGTAACGCTTCTAGGATTCGAACGACG ACAAGCCATACGAATGTCGGGACAATACCTTGGGGCCTCTTTAGGAGGGGCGTTTCTGGC GGTAGTGGGGTTTGGTATTATCGGATGGATGTTATGTGGAAATTCCCGCCTTCGAGAATA TAATAAAATACCTCTGACATAAAAAACATGTATAATAAAAAGTCACTATAAACGTATTCT CTACAATACTTTATTCGCGAATAATACACACTACCTTTGGGTTTTTTTCCCGTCCCCAAA TGGTGTTTGGTGCACTCTACCAAAAAATAGAGCGCCTAAATATGCTATATAACGCCTCCC AGCAAAATACGGTTCAAAGGCATTACCCGATATTGTATTGTAGTACAGGGCAATGGGAAT TGATGATCCCAATAAACGGCATAGACGCACAGCGCCGTTATAGCAGGGGTCTCCAGAGTA CAGGGTATCTAAGTACCGGGATATCTCATACTCATGCCTTTCCGTGACAGAAACATCAAC CGGAACAGTATCCGATAAACCAACTCCTGTTTTTGCAAGGCGTAAAATTCGCACACCTTC CTTTTTTGCAAGATGTGACGTTTCCTTGTAACAGGGAAGCTGGGGGAGTGGTAAGAACAA CAAAGTTTCAGCCAACGTGCCAATAAAGCCCACTTCCCTCAAGAGGCTGTTTGCTGTATC CACAATGGTCCGTATTAAATCTTGAGCAACTTGATCCGTGTCATCATCACTGGGTAACGC GTTAACATAACTACGCGTTAAATCTTCAATAACGGCATAACAATTAAACGCTTCCCACCG AGACAGTATATATTGAACAATCACGAACCGTTGACAGGACGTCAGATCACGTCCGTAAGC ATGCCCGAAAAATGGAAGTTCCCCCCGTTCGCCATATACCGCAACAACTGCAGTATATAT CGTCTCACGGGCTTCATTAAGTTCATCTTCAAGTCCAGGCCATTTTCTGGCTTTAAATAT AACCTCGTCCGCAAAAAAAACCGCACATGATAACGCGCGGATACAATGAGTAGTGGCTTT ATGGCGAGGATCCCAAATGTCCATTACCCGGGGGATGGTCCTAATCTGTACAAAGTTACT TAGTGTAATATGATCGGACTTCTTACGCCGTCTAGGCTGTTTCTCAGAATACGGTTCACC CGAAATCGGCACATCATCTGCTTTTACGTCTTCCGTAACCACATCAGCAGCGCGCCGACT AACAATTATACTTGTTTTTTCATCGTCGTTACTTCCGTTAAGCGCGTCTCGTATCTCGGG CGTCCCGTCGAATAATCCACTCACTAGCTCCTGCAAACCTTCTGGTAACTCCAACATACG CATATACACCAATGAAAAACTGGCTTCGTTTGGTACGTACATAAAGCCATTTGTGGTATT AATGGCGGTGGGTGTTGGAGACAATTTTAGCTTATTCTCGCGCGTAACATCTACCCCCGC CACCAATGTTAAATGCGTCACGGGGAGGGACACGAGATAATCTGCGAGCGTAGGGTCCTC CACTTCAACATCAAATGTTCCGCAAAGGTCGCGATCCACCGCCCCCGATCCCGCTGCAAG TAAGGCCACTCGATCCAAAAACACGCAGTTATTATTGGATGATACCGCCCATGTCTTCCC GGTGCGATTGAGCTCACTTCGAACGTAACTGGCAACAGATCTGTCACCGGGTCCGACCCC GCGAACAACATGTCCAAATTTTGCGATCTCGCCTCCATGTTTGCGGGGTATGGAAATTAA GCATCCCCCGCATATAAAATACGCCCTGGTAGCACGCTCGTTAAAATAAAACGTTACGCC GTTATAAGATACGGTTGAATGATATGGAAATTCCATATTAAAGCGTTTATCGGAACATTA ACCTCGAACTTGCCGTCCCGTGATCGTGTGATCGCCAACCTTAGGTCCACACCGAATATG AGAAATATATAACTACACGCAAACATTCAAAACACCGTGGTATCATTAACGTCATATGAA AAGATCCAATCAATCCAATCAACCACACCTCCTACCGTTTAGCACGTCAGCTATGTGACA TGCTCCAAACATACGTAAACATTTAGAGAGGGTGTTATAACAGTCTGTCAGGCGGGGTAT ATTCTACATAATACAAGGATCGGCTTTAACTTTGTCAACATTTTTACTTTGGACTATAAA CTGCGACTGAACGTTATGAACCCACCCCAAGCCCGCGTCTCGGAACAGACAAAGGACTTG CTTAGCGTTATGGTTAACCAGCACCCCGAAGAGGACGCAAAAGTGTGTAAATCCAGTGAT AATTCACCGCTTTATAACACCATGGTTATGTTATCGTATGGGGGTGATACGGACTTACTA TTAAGCTCTGCATGTACCCGCACATCTACCGTAAACAGGTCGGCGTTTACGCAACACTCC GTGTTTTATATTATATCCACGGTGTTGATTCAACCAATATGTTGTATCTTCTTTTTTTTT TACTATAAAGCGACACGCTGTATGCTCTTATTCACAGCCGGGTTACTTCTGACGATTCTA CATCACTTTCGACTTATTATTATGTTATTGTGTGTCTACAGAAATATACGATCAGACCTG CTACCCTTATCTACATCCCAGCAACTGCTGCTTGGAATTATTGTTGTGACTCGAACAATG CTATTTTGTATTACGGCGTATTATACTCTTTTTATAGACACCCGGGTGTTCTTTTTGATT ACCGGACACTTGCAAAGTGAGGTTATTTTTCCAGATAGCGTTTCAAAAATACTTCCTGTG TCGTGGGGTCCAAGTCCAGCCGTGTTACTGGTAATGGCGGCAGTTATTTACGCTATGGAC TGTTTGGTGGACACGGTATCCTTTATTGGGCCAAGGGTGTGGGTCCGTGTTATGTTAAAA ACATCTATTTCGTTTTAGTCCATTTCAATAAATGTACTATAATTGTTCAGTCTAAAAATA ATGTTGGGTATTTATAATTACCGCCCCCGTGTTACTTGGAAACACCCATACATATGTTCC ACTCTACATCAAACTTCTCGCAGTTTTCTTGTTCCCGCACACGTTTACACGTCCGGATTC AAGTCGCAACGCTGCTGACAAAATGACAACGGTTTCATGTCCCGCTAACGTGATTACTAC AACGGAATCTGATCGTATTGCTGGGTTATTTAACATCCCAGCGGGGATCATTCCAACTGG AAATGTGCTGTCAACCATAGAGGTGTGTGCACACCGTTGCATTTTTGATTTTTTTAAACA AATACGATCAGATGATAACAGCCTTTACTCGGCTCAATTCGATATTCTTTTGGGGACATA CTGCAATACATTAAACTTTGTGCGTTTTCTAGAACTTGGACTGTCTGTCGCTTGCATCTG TACTAAATTTCCGGAGCTGGCTTACGTGCGAGATGGCGTTATTCAATTTGAGGTACAACA ACCCATGATAGCACGTGATGGCCCACATCCCGTCGATCAGCCTGTTCATAATTATATGGT TAAGCGGATACACAAGCGTTCGTTAAGCGCTGCGTTTGCAATTGCATCGGAAGCGTTGAG TTTGTTAAGTAACACATATGTCGATGGGACAGAGATTGACTCATCGTTACGTATAAGAGC TATCCAACAGATGGCTCGTAATTTACGCACCGTTTTGGACTCATTTGAACGAGGCACTGC CGATCAACTTCTTGGTGTTCTATTGGAGAAAGCCCCACCGCTATCGCTGCTTTCACCAAT TAATAAATTCCAACCCGAGGGACATCTAAATCGTGTTGCACGCGCGGCCCTACTTTCGGA CCTCAAACGTAGAGTCTGTGCGGATATGTTTTTTATGACCCGACACGCCAGGGAACCTAG GCTGATCTCTGCGTATCTGTCGGATATGGTTTCGTGCACCCAACCATCGGTGATGGTATC ACGAATAACTCATACAAACACTCGCGGACGGCAGGTTGACGGTGTGTTGGTAACAACAGC AACCTTAAAACGGCAACTATTACAGGGAATTTTACAAATTGACGACACCGCCGCTGACGT ACCAGTAACATATGGCGAAATGGTTCTACAGGGGACAAACTTGGTAACCGCCCTTGTGAT GGGAAAGGCCGTCCGCGGAATGGATGATGTAGCCCGCCATCTCCTTGATATAACCGACCC TAACACGTTAAACATACCGTCTATACCCCCACAATCCAACTCCGATTCAACGACAGCTGG GCTTCCGGTTAACGCCCGTGTTCCTGCGGATTTAGTGATTGTTGGGGATAAACTTGTATT CTTAGAAGCATTAGAACGGCGGGTCTACCAAGCTACGCGCGTTGCCTACCCTCTTATTGG AAATATAGATATTACGTTTATCATGCCAATGGGAGTGTTTCAGGCAAACTCCATGGACAG ATATACACGACACGCCGGCGATTTTTCAACTGTATCCGAACAGGATCCACGTCAATTTCC ACCCCAAGAGATTTTTTTTTATAATAAAGATGGGATATTAACACAGTTGACTCTTCGTGA TGCAATGGGTACCATCTGCCACAGTTCATTGCTTGATGTTGAGGCCACACTTGTTGCCCT CCGCCAACAACATTTAGATCGTCAGTGTTATTTTGGTGTATACGTGGCCGAGGGTACAGA GGACACATTGGATGTTCAAATGGGGAGGTTTATGGAAACGTGGGCAGATATGATGCCTCA TCACCCTCATTGGGTAAACGAACATTTAACAATTCTACAGTTTATAGCTCCGAGCAACCC GCGTCTAAGGTTTGAATTAAACCCCGCCTTTGATTTTTTTGTTGCACCGGGGGACGTAGA CCTTCCCGGACCGCAGCGTCCCCCGGAAGCCATGCCAACCGTTAACGCAACATTACGGAT TATCAACGGAAACATTCCCGTGCCTCTATGTCCCATTTCATTTCGAGACTGTCGCGGAAC CCAACTCGGTTTGGGAAGACATACAATGACCCCGGCAACCATTAAAGCCGTAAAGGATAC ATTTGAAGACCGCGCATACCCAACTATTTTCTACATGCTAGAGGCTGTTATTCATGGAAA CGAAAGAAACTTCTGTGCGTTACTGCGACTGTTAACACAGTGTATTCGCGGGTATTGGGA GCAATCCCACAGGGTGGCATTTGTAAATAACTTTCACATGTTAATGTACATAACTACATA TCTCGGAAACGGTGAGCTTCCCGAAGTCTGTATTAATATATATCGGGATTTACTGCAGCA TGTAAGAGCATTACGCCAAACTATAACCGATTTTACAATACAAGGAGAGGGCCATAACGG CGAGACCTCGGAAGCGCTAAATAACATCCTTACGGATGACACGTTTATTGCACCTATTCT ATGGGATTGTGATGCGTTAATATACCGTGATGAAGCCGCCCGAGACCGACTCCCCGCAAT TCGTGTAAGCGGGCGAAACGGATACCAAGCCCTTCACTTTGTGGATATGGCCGGGCATAA CTTCCAACGACGCGATAATGTGTTAATCCACGGGAGACCCGTTCGGGGAGACACGGGTCA GGGTATTCCCATTACCCCACACCATGACCGTGAATGGGGTATTCTCTCCAAGATTTACTA CTATATTGTCATTCCTGCATTTTCCCGCGGTTCCTGTTGTACAATGGGCGTGCGTTATGA TCGCCTATACCCTGCGTTACAGGCAGTTATCGTTCCGGAAATTCCCGCTGATGAAGAAGC CCCAACTACCCCAGAAGATCCAAGACACCCTCTTCACGCACACCAACTCGTTCCGAACTC TCTTAACGTTTACTTCCATAATGCACACCTAACCGTTGATGGTGATGCATTGCTCACACT ACAAGAGTTAATGGGAGATATGGCTGAACGAACGACGGCCATTTTAGTATCAAGCGCCCC CGATGCGGGAGCCGCCACGGCAACAACCAGAAATATGAGAATATATGACGGAGCGCTTTA CCATGGCCTTATTATGATGGCATATCAGGCGTACGATGAAACCATTGCAACGGGTACTTT TTTTTATCCCGTTCCGGTCAACCCTCTGTTTGCATGTCCGGAACATTTGGCATCATTGCG TGGAATGACAAATGCTAGGCGGGTTTTGGCAAAAATGGTACCACCAATCCCTCCTTTTCT GGGAGCCAACCACCACGCAACTATACGCCAACCCGTTGCCTACCATGTAACGCATAGTAA GTCGGATTTTAATACTCTTACATATTCTCTTCTTGGAGGGTATTTTAAGTTTACACCAAT AGCTCTTACACATCAACTACGAACGGGATTTCACCCCGGGATTGCCTTTACCGTAGTGCG CCAGGATCGCTTTGCCACAGAGCAACTTTTATATGCCGAGCGTGCTTCTGAATCGTACTT TGTCGGACAAATCCAAGTACACCATCATGATGCTATTGGGGGGGTAAACTTTACCCTAAC CCAACCCAGAGCTCACGTGGACCTGGGAGTTGGGTATACAGCTGTATGTGCCACAGCAGC CCTGCGATGCCCTCTCACGGATATGGGCAATACTGCCCAAAATCTTTTTTTTTCACGAGG AGGAGTGCCAATGTTACATGATAACGTTACCGAATCGTTGCGTCGTATAACAGCATCGGG GGGTCGCTTAAATCCCACCGAACCCCTACCCATCTTCGGCGGACTGCGTCCTGCTACATC GGCAGGAATTGCACGAGGGCAAGCCTCTGTGTGTGAGTTTGTGGCCATGCCGGTGTCCAC TGACCTACAATATTTTAGAACTGCATGCAATCCTAGAGGTCGAGCATCTGGAATGTTATA TATGGGTGACCGTGACGCCGACATAGAGGCTATAATGTTTGATCACACACAATCGGATGT TGCTTATACAGATCGAGCAACTCTTAACCCATGGGCATCACAAAAACATTCATACGGTGA CAGGCTATACAACGGAACATACAACCTTACAGGCGCTTCTCCTATCTACAGCCCATGCTT TAAGTTTTTTACACCAGCGGAGGTTAACACTAATTGTAATACACTGGATCGGCTTCTAAT GGAGGCAAAGGCTGTGGCGTCGCAAAGCTCCACCGACACTGAATATCAATTTAAACGCCC TCCCGGTTCTACCGAAATGACACAGGATCCGTGTGGCCTTTTTCAAGAAGCATATCCACC ACTATGCTCAAGCGATGCGGCCATGTTACGAACGGCTCACGCGGGAGAAACCGGGGCAGA TGAAGTTCACTTAGCCCAATATCTGATTCGAGACGCGTCGCCCCTTAGGGGATGTCTTCC TCTTCCGCGATAATTTCACCACGCCCACATACCCACTCCCAATAAAAGCCCTGTAGAGCG CATTGGCATCTTACTTGAGATTTGGATACGCTCGGCCGACTTGGTCTGTTTCACGCTTCC TTAAACAACATGGCTATGCCATTTGAGATAGAGGTATTGTTACCAGGAGACCTATCCCCG GCGGAAACATCTGCATTACAGAAATGTGAGGGAAAAATTATTACCTTCTCAACCCTGCGT CATCGAGCTTCACTGGTGGATATAGCGCTGTCGTCATATTACATTAACGGTGCTCCACCA GACACGCTCTCGCTGTTAGAGGCATACCGAATGCGATTCGCGGCAGTTATAACACGGGTC ATCCCGGGAAAGTTGTTGGCGCATGCCATTGGCGTGGGTACTCCTACACCCGGGTTGTTT ATTCAAAATACATCCCCCGTTGATCTTTGTAATGGCGATTACATCTGCTTACTTCCTCCG GTTTTCGGGTCCGCAGACTCAATTCGCTTGGACTCTGTAGGACTGGAAATTGTTTTCCCT TTAACCATCCCCCAGACCTTAATGCGAGAAATCATCGCCAAAGTGGTTGCACGGGCCGTT GAGCGCACGGCCGCGGGTGCTCAAATTTTACCCCACGAAGTTCTACGAGGCGCGGATGTC ATTTGTTACAATGGAAGGCGTTATGAACTCGAAACAAATTTACAACATCGGGACGGATCG GATGCGGCTATTCGCACATTGGTTTTAAATCTAATGTTTTCCATAAACGAGGGATGTCTG CTTTTATTGGCGCTGATTCCAACTTTGTTAGTCCAAGGAGCACACGACGGTTATGTAAAT TTATTGATACAAACGGCCAATTGCGTTAGAGAAACCGGCCAGTTAATTAATATACCGCCA ATGCCGCGGATTCAAGACGGCCATCGCCGATTTCCCATATATGAAACTATTTCATCTTGG ATATCAACATCATCTAGACTGGGGGATACCTTGGGAACTCGCGCAATTTTACGCGTCTGT GTGTTTGATGGACCCTCTACTGTTCATCCGGGAGACCGCACAGCCGTGATTCAAGTGTAA ACAGGTGTTAATAAAAACACAACCAGTCTAGTTACATTTCACGCGTCTTGTTTTTATTTA ATAGGCATAAACACGGAATCCGGTATACATGAACTGCCAATATACACGGACATAATTAAT GCAACCATCAGATCATCTGACATTGTTCCCGTGGTACCTTTACCCGTGTAAGTTTTTGTG TCTAGATGACCCATACCGCCTTTAATTACCTCTGTCAGGTTATCCAACTGTTTACATAGA TACTCCACGGGGTCTACACCTAACTTTACTGTTAGGGATACAAGCTCCTGTGAGGCTATT ATATTTCCGGAGTTAAATCGTTTAACAAAATAGTCTACGGCCGGCGTTTTTTGTTTTTGT AATAAAAAAAAAGGGTACGCCACGCTACATCCGGGAGGTATGGAATGATAAAACAGTAAC ACTGGAGCGGAAGATAGCACGTTTCCCTTTTCGAGGACAGCAAACTGTTGTGCTATAGCC AACGATATGGCAACTGCAGAATCCTGGCTGCTGTTTCCCTCTATAGAAACGTGTACGTTT GTAAATGTATTGGGGTGTAAAGCGAGTATGTGGCCTAAGCATTGAGTAACGCAACGCCCT ATCTCACTGGAAGACGTGCCAGTTAAAGCTCTAAGAAAAAAGTGCTCCAATCCAAATATA ATCCAATCCGACTTATAACGACCAACAATCGCTACACCAGTACCAGACGCTCCTGCATTT GAGGTAAATGCAGGGTCTACGTAAACGTACAACACTGACGATAATATAGCACAATTCGCA ACGGTTGACGGCCGATATAAAATAAACCTCTCACGGGCAGTTTTTGTAAATAATGGCCGG TCAAACCCCACACCCCCAGAATTCTGTTTACGCCCACCTACAATTTCCTGCACGAAGGAG TCGGCCATAAATAAATCTGCAGTGCGCCGCATGGCTCCATCCATTGTGATGAAAACCGGC TTATTTAATACATAACACGAACAAGCTGTGACATCGCTATGTGCTAAAACACGCGGCATG TGATCGTCGCATACATATGTAACAACGTTTAACAACTGATCCGACGATCCACGTAAGTTA TACAAAAAACTTGTACTTGCTTTTCCGGTATTTGTTGATGAAACAAAAATAATTTTACAA TTGGTTTGATTTAAAAATCCGACTATAGTTTGTACAGCATCAGGTCGAATAAAATTAGCT TCATCCACAAACAGAAGATTAAAATCTTGACCTCGGATACCCTGGAACGATAGAAAGATA TATAGTTACCCCACCAAAGTTTAAATGTATCCTTAAATACCACGTACGTAAAAAATGTTT GAATACGTACATATTTCTTTTTTTTTTTTCCAGTACAACCATATCCGGTGTATAATGGAA GCCCATTTGGCAAATGAAACCAAACATGCACTTTGGCATAATGATCACACAAAAGGATTA CTACACGTTGTGATACCTAACGCGGGGCTTATTGCGGCCGGAATAGATCCCGCATTACTG ATTTTAAAGAAACCCGGACAACGCTTCAAGGTTGAAGTACAAACAAGATATCATGCTACA GGTCAATGCGAACCGTGGTGTCAAGTTTTCGCCGCGTACATTCCCGATAACGCCTTAACA AATCTCTTAATACCAAAAACGGAACCATTTGTTTCACACGTTTTTTCGGCCACGCATAAT TCAGGGGGATTGATTTTATCATTGCCTGTTTATCTTAGCCCCGGTTTATTCTTTGATGCA TTTAACGTTGTAGCGATACGAATAAATACTGGAAACCGCAAGCACCGTGATATTTGTATT ATGTATGCAGAACTAATCCCAAACGGAACGCGTTATTTTGCTGATGGACAACGGGTACTT TTATTATGCAAACAGCTGATTGCGTATATCCGATGCACCCCTCGTCTTGCATCGTCTATA AAAATATACGCAGAGCATATGGTGGCAGCCATGGGTGAATCACACACGTCAAATGGGGAC AATATTGGACCCGTTTCATCCATAATCGATCTTGATCGACAGTTAACTTCTGGAGGTATT GATGACTCCCCTGCTGAAACACGCATACAGGAAAATAATCGGGACGTCCTTGAGCTAATA AAACGGGCCGTAAACATTGTTAACTCCAGGCACCCCGTCCGACCTTCTAGTTCCCGCGTT GCATCTGGGTTGCTTCAAAGTGCAAAGGGCCACGGAGCGCAAACTTCCAACACAGATCCG ATCAATAACGGTTCCTTTGATGGCGTCCTTGAGCCGCCTGGACAAGGGCGATTTACGGGA AAGAAAAACAATTCGTCCGCCAGCATCCCACCTTTACAAGACGTTCTATTGTTTACCCCA GCTTCGACAGAACCCCAAAGTCTTATGGAATGGTTCGACATCTGTTATGCCCAATTAGTT AGCGGGGACACTCCAGCAGATTTCTGGAAACGGCGTCCCCTATCAATTGTACCGCGACAT TACGCAGAATCCCCCAGTCCGTTGATTGTAGTATCTTACAACGGATCCTCTGCCTGGGGA GGACGTATTACCGGAAGTCCAATTTTATATCACTCTGCACAGGCTATTATTGATGCTGCG TGTATAAATGCCCGGGTTGACAATCCCCAAAGCCTACATGTGACAGCTCGCCAAGAGCTA GTCGCGCGTTTACCGTTTTTGGCTAACGTCCTAAATAATCAAACCCCCTTACCCGCCTTT AAACCAGGCGCCGAAATGTTTTTAAACCAGGTATTTAAACAAGCGTGTGTGACATCGCTA ACCCAAGGTCTTATAACGGAGTTACAAACGAACCCGACTCTACAACAACTCATGGAATAT GATATTGCAGATTCTTCCCAAACGGTTATTGATGAAATTGTAGCCCGCACACCAGACCTG ATTCAGACTATAGTTTCGGTGTTAACGGAAATGTCAATGGATGCGTTTTATAACAGCTCC TTGATGTATGCGGTTTTGGCGTATCTGTCATCTGTATATACACGACCACAAGGTGGGGGG TATATACCCTACCTTCACGCTTCCTTCCCATGCTGGTTAGGTAATCGTTCTATATATTTA TTTGACTATTATAATTCAGGAGGGGAAATACTTAAGCTTTCCAAGGTCCCCGTTCCCGTA GCCTTAGAAAAGGTTGGTATTGGTAATTCCACACAACTGAGGGGTAAATTTATACGCAGC GCGGATATTGTTGATATTGAAATTTGTTCTAAGTATTTACCCGGTCAATGTTACGCGTAC ATTTGTCTAGGATTTAACCAGCAATTACAATCCATTTTAGTTTTACCGGGGGGATTTGCG GCATGTTTTTGTATTACCGATACCCTACAGGCAGCACTACCTGCATCGTTAATCGGACCT ATTCTAGACAGATTCTGCTTCTCTATTCCCAACCCCCATAAATAAATTAGTGTCACTATA AAAACATAACACCAGAATCTCTTCATATTTAATTTTACGTCATTTCTCCCGTTTCCACCC CCTCTTAAAATATAAAATAACCGGGTGGGTGGCATTAAACCCACAAGTACCCGGGCGGCA ATCCGCTAGACTGTTTTTCTGCTCATGGAATTACAACGCATATTTCCGCTGTACACCGCT ACGGGTGCAGCGCGCAAATTAACCCCCGAGGCAGTTCAGAGACTCTGCGATGCATTAACG CTGGATATGGGATTATGGAAGTCCATCCTGACCGATCCCCGGGTGAAAATAATGCGATCA ACTGCTTTTATAACTTTAAGGATCGCTCCGTTTATCCCCCTTCAAACGGATACTACTAAT ATTGCCGTTGTTGTAGCCACAATTTACATCACGCGCCCACGTCAGATGAACTTACCTCCG AAGACTTTTCATGTAATTGTAAATTTTAATTACGAGGTCTCGTACGCAATGACGGCGACT TTAAGAATTTATCCGGTTGAAAACATAGACCATGTTTTTGGAGCAACGTTTAAGAACCCG ATCGCGTACCCCCTTCCAACATCTATTCCGGATCCTCGAGCAGATCCCACCCCCGCAGAT CTTACACCAACGCCAAACTTAAGCGACTACTTACAACCCCCGCGGCTTCCGAAAAATCCA TACGCATGTAAAGTTATTTCTCCGGGAGTGTGGTGGTCAGACGAACGAAGGCGTTTATAT GTACTGGCTATGGAACCTAATTTAATAGGGCTATGTCCCGCCGGATGGCATGCTCGGATA CTTGGCTCTGTATTAAATCGACTCCTCAGCCATGCGGACGGATGTGATGAATGTAATCAT AGAGTTCACGTGGGGGCACTGTATGCGTTACCCCATGTCACAAATCATGCGGAAGGTTGT GTGTGTTGGGCTCCGTGTATGTGGAGAAAGGCCGGTCAGCGGGAATTAAAAGTGGAGGTA GACATTGGCGCCACGCAGGTTCTTTTTGTAGATGTCACCACCTGCATTCGAATTACGAGT ACTAAAAATCCTCGCATTACCGCAAATCTTGGCGACGTTATAGCGGGAACCAACGCCAGT GGTCTCTCTGTACCAGTAAATTCATCTGGGTGGCAGCTTTATATGTTTGGAGAAACATTA AGCCGGGCTATTATTAACGGCTGTGGTCTGCTTCAGCGAATTTGCTTCCCCGAGACACAA AGATTATCGGGTGAACCGGAACCTACAACCACCTAGTATACCTTAACTCAACCGCCGTTG TGGAAAGGTATATGTCAACATTTACAGTAATATATTAAAGGTTAAATTTATAAAACACTC ACGTTTGTGTTGTGACTTGACGCGAACACCGCTGTGCTGTAAGACCCGTCGGTAAATGAA AACGTAATAGATTCGCCTTTTACATGATCCACGTAATTTGCCCCAAACCACTGTTCCAGG CGAGACTTGATACCCTCAAACACGGGTTCCGTTGCTTTGCGTATATGAGCCGTATAACCC ACTTTAATTCCTCTAAACGTGGCCATTACTAAAGCTATTAATGGTACAAGAAACCATGTT TTCCCATGTCTACGTGGTACCAAAAACACAGTTGATTTTTGTTTGAAGTGTTCTAAAACA CTGTCAGAAACACTTGGCGTGTTAAACACTGTACGCAGAAAGCAGTCAACTCTGTCGGCA TGATCGCCCAATAGCACCGATGAAATAAAATGCGTGGTGTGCATGAGGATCATTTTTTGA AACAGTTCCAACGTCCCCTTATATCTGCCATAGATTGGAACGTCAACCTTTGCGCGTTTG CCATGACTTCCACACTCTTCAATACTCTCAAAAGATGTTTCCACAAGGTACGAAAACCGT TGTGTAAAGGTAGACAACTGACAGAAACTATCCGACAGAGAAAACGCGCGAAATGTGTTC ATAACCCCGCTATACGCATTTCGATGAGGTGCTGCTTCTTCCGGTGAATATTCATAAAAC TGTACACTACTGACAGCCTTTTTTAATTCAGGGCTTACGTTTGCATTTACCGAATATCGC CATGGTTTCAAAACTACATTGGGGGTACAGTTGTACCCTGTTGACGATAGAAACGCGCCA AACATTGCCCGTCGAGCAGTAGCCGAGAACAGTGGAATATATTCACAACAGTTGTGAAGC GTTCCAATTCCGGGAATAACGGCCTGATGACGTCGGGTTACATCTATAGCAAAATTCAGA AACGGGATTTGGGTTGCGTTTCCCAGAGACCCTTGCCGCGTGGAACACGGGGTAGGGGAC TCCAACGTCTAAAGCGTTCATCCCTACGACGCTTTAGACGTTCAAAATATCTTACAGATT CTTCACCAAGCGTACGACCAAACATTATCAATGACATTTAACATCAATTCACGGAATCCG CCTCATCTCTTGTAAGCAGTAAAACAGGAAGCCGCGTCATCTTACGTACTCGTTACGTAT ATATCATAAACATTTTCAGGGCCGCATTCATTCACTTTGGTCATGTCAGGCCACACTCCA ACCTACGCTTCTCATAGGCGTAACCGTGTCAAACTAGTTGAGGCGCATAACCGCGCGGGG TTATTTAAAGAACGGACCCTCGATCTAATCCGTGGGGGTGCGAGTGTACAAGATCCAGCA TTTGTGTATGCCTTTACTGCTGCCAAAGAGGCCTGCGCCGATTTAAATAACCAGCTCCGC TCTGCAGCTCGCATAGCTTCAGTTGAACAGAAGATTCGTGATATACAATCCAAGGTTGAG GAACAAACAAGTATTCAACAGATTTTAAATACAAACAGACGCTATATAGCACCCGATTTT ATTCGCGGTTTGGATAAAACAGAAGACGATAATACCGATAATATAGACAGACTGGAAGAC GCGGTAGGACCGAACATCGAACACGAAAATCATACTTGGTTTGGAGAAGACGACGAAGCG TTACTTACACAATGGATGCTGACGACACACCCCCCAACCTCCAAATATCTCCAACTGCAG GACCTTTGCGTTCCCACCACAATACCGACGGACATGAACCAAATGCAACCACAGCCGATC AGCAAGAACGAGAATCCACCAACCCCACACACGGATGTGTAAATCATCCATGGGCCAATC CGTCAACTGCAACATGCATGGAATCACCAGAACGATCACAACAGACAAGCTTATTTTTAT TAAAGCACGGCTTAACGAGAGATCCAATACATCAACGCGAAAGGGTGGACGTTTTTCCAC AATTTAACAAACCCCCATGGGTTTTTAGAATTTCCAAATTATCCCGTTTAATTGTACCCA TCTTCACGCTCAATGAACAGTTATGTTTTTCTAAATTACAGATTCGAGATAGACCCAGGT TTGCGGGACGGGGAACGTATGGGCGTGTTCATATATACCCATCGTCAAAAATAGCTGTAA AAACCATGGACAGTCGTGTTTTTAATAGAGAGTTAATTAACGCGATTTTAGCGAGTGAGG GTTCTATACGAGCAGGGGAAAGGCTAGGTATTTCTAGCATAGTTTGCCTTTTAGGTTTTT CGTTACAAACCAAACAGCTACTGTTTCCGGCATACGACATGGATATGGATGAATACATTG TTCGCCTGTCCAGACGGTTGACAATACCTGATCACATAGACAGAAAAATTGCCCATGTAT TTTTAGATTTGGCTCAAGCGTTGACGTTTTTAAATCGAACGTGCGGCCTGACCCACCTAG ATGTGAAATGTGGCAATATTTTTCTTAACGTCGACAACTTTGCCTCGTTGGAAATAACCA CAGCAGTAATCGGAGACTATAGCCTAGTAACATTAAATACGTATTCCCTTTGTACTCGAG CGATATTTGAAGTTGGAAATCCATCCCACCCGGAGCACGTACTACGCGTACCCCGGGATG CATCGCAGATGTCATTTCGTTTGGTGTTGAGTCATGGAACAAACCAACCCCCTGAAATCT TGCTTGATTATATTAATGGAACGGGCCTTACTAAATATACTGGAACCTTGCCCCAAAGAG TTGGACTTGCGATTGATCTTTATGCATTGGGCCAAGCACTCTTAGAAGTTATCCTGCTAG GACGTCTTCCCGGACAACTGCCCATTTCAGTACATCGGACCCCGCATTATCACTACTACG GTCATAAGTTATCACCAGATTTGGCGCTTGATACGCTGGCATATCGATGTGTCCTGGCGC CATATATACTCCCATCTGACATCCCCGGGGACTTAAATTATAATCCCTTTATACACGCCG GAGAGCTGAACACCCGTATTTCCCGGAATTCTTTACGCCGGATATTCCAGTGTCACGCAG TGCGTTACGGCGTAACGCACTCAAAGCTTTTCGAAGGCATACGCATTCCGGCCTCATTAT ACCCAGCCACTGTTGTTACGTCGTTGTTGTGTCACGATAATTCAGAAATACGCTCGGATC ACCCTTTATTATGGCACGATCGGGATTGGATAGGATCGACATAAGCCCCCAGCCAGCCAA AAAAATTGCCCGTGTGGGAGGTCTACAGCACCCTTTTGTAAAAACGGATATTAACACGAT TAACGTTGAACACCATTTTATAGACACGCTACAGAAGACATCACCGAACATGGACTGTCG CGGGATGACAGCGGGTATTTTTATTCGTTTATCCCACATGTATAAAATTCTAACAACTCT GGAGTCTCCAAATGATGTAACCTACACAACACCCGGTTCTACCAACGCACTGTTCTTTAA GACGTCCACACAGCCTCAGGAGCCGCATCCGGAAGAGTTAGCATCCAAATTAACCCAAGA CGACATTAAACGTATTCTATTAACGATAGAATCGGAGACTCGTGGTCAGGGCGACAATGC CATTTGGACACTACTCAGACGAAATTTAATCACCGCATCAACTCTTAAATGGAGTGTATC TGGACCCGTCATTCCACCTCAGTGGTTTTACCACCATAACACTACAGACACATACGGTGA TGCGGCGGCAATGGCGTTTGGAAAAACCAACGAACCGGCGGCACGAGCGATAGTTGAAGC ATTGTTTATAGATCCGGCTGATATCCGTACTCCTGATCATTTAACGCCAGAAGCTACAAC TAAGTTTTTTAATTTTGACATGCTCAATACCAAATCTCCAAGTCTCCTTGTGGGTACACC AAGAATCGGAACGTATGAATGTGGACTTTTAATCGACGTTCGAACGGGACTTATAGGCGC GTCGTTGGACGTTCTTGTATGTGACAGGGACCCTTTAACTGGCACCCTAAATCCCCACCC TGCAGAAACCGACATTTCATTTTTTGAAATTAAATGTCGTGCTAAATACCTCTTTGATCC AGATGACAAAAATAACCCGCTCGGTCGGACGTACACCACGTTAATAAATAGACCTACAAT GGCAAATCTACGGGACTTTTTATATACTATAAAAAACCCATGTGTAAGCTTCTTTGGACC CTCAGCAAACCCAAGTACACGCGAGGCCTTAATAACGGATCACGTTGAATGGAAACGTTT AGGATTTAAAGGTGGGAGGGCCCTTACAGAACTCGACGCCCATCATTTGGGCCTCAATCG GACAATCTCATCCCGAGTGTGGGTATTTAATGATCCGGACATACAAAAGGGGACAATTAC AACCATTGCATGGGCCACTGGAGATACGGCTCTTCAAATTCCTGTATTTGCCAATCCGCG GCACGCTAACTTTAAACAAATTGCCGTACAAACCTATGTATTATCCGGTTACTTTCCAGC GCTAAAACTACGGCCCTTCCTTGTCACCTTTATAGGACGTGTGCGCCGACCACACGAGGT GGGAGTCCCATTGCGCGTCGATACACAAGCGGCTGCCATTTACGAATATAACTGGCCGAC TATCCCACCCCACTGTGCGGTTCCGGTTATAGCCGTTCTAACGCCTATCGAAGTTGATGT GCCTAGAGTGACACAAATACTTAAAGACACAGGAAACAACGCGATTACATCAGCATTGCG GTCATTGCGATGGGACAATCTTCATCCAGCGGTCGAGGAGGAATCTGTGGATTGTGCAAA CGGTACAACGAGCTTGTTACGTGCAACGGAGAAACCGTTGCTTTGAACTCAGAGTTCTTT GAAGACTTTGACTTTGATGAGAATGTAACAGAGGACGCCGATAAATCCACACAACGCCGC CCACGAGTGATCGATGTAACACCAAAACGAAAACCTTCGGGAAAGAGCTCCCATTCCAAA TGCGCAAAATGTTAAACCCTGATAAACCCTGATAAACGTTCTAATAAAAACATCAAATCA TGGTTGGTTACTGTGAATGTTTGTTTTATTGCTTGGGGGTTTACAAGTACAACCCACGCT ACTCCCACCCACTGTTTGATCGCTCGTATAACAGCTCATCCTCACGGTCCGTTTCATATG TTGAGTCATTTTCATAGACGTAGCCGTAGCCTTGTGATGGGTAATTTGTGCGGCGAGAAT TTCTATGTGCAGGTTTTACTTTTCGTATGTATCCCCGTACCCGCTCGGGTACTCTTCTTA CGGCACCGTAGAACCGACTGCGTTTCTGTCGATGATACACATATGCACGCATCAATCTGA GAAGCAACATGACAACGGAAAACACGGCCAGGCAAGCCAAGGTTCCCCGAGTTGTGGGAA TTAACCGTGGAGATTGAACCGATATAGGGTCATATAATCGGTCCATATACGAGTGCGCGG CGGTTCCCAACGTAGCACAGGCCACGAGCGTTCCCAGGGACGGTCCTATTAACACGTGTA TATAATGCGCCAAAATTAATTCTGATACTATAAGATATACAACTGACAATGTACTAAATG TAGACATGGCCACGGACACCGATGACCACAGTCCCGTATGTAGATGATTCGCCACCACAA GTTCCAGCATTAATGATACAAATAGGATACATATCGCCATCAACGCAGCCATCAAATTCA CGAACACTGCGCGCGTAGGCCCCGCAAGGCGATATAAAAAGACGCTCTGCTGTCGTAAAT TTGCGACCGCTTTTATGTTCGTTTCGTCCAATTTTCCGCGTCCACAAAAATACGTTGTAA ATATTACACTTGTCGCAAAATGTCCAAGATATAATGTAGCAGCCACGCCGATTTGCTTGT AAGCTAATAATAACACAACGGCGTTTAATAACCACAATGACAAAAGACCCCAAAAAAGTG TTGTGGGATCTACAACTAACCATGCAACACCGGAGCTTTGCCGGACACGTTGATTTTTCG TTTCTCGGTGTATAATCGCGGCCGTGATCAGTGTATATACCGCCATGGCCATTGCCGTTA AAGCCGTGTAGTAAGTAAATGCCACAACGCTATGTGGTTCCAAAAACAAAACCGGGGCGC TGTATCCACCTCTATTTCCGGACCATACCCCCCCATCTAGGGTGGCGTTAAATAACTCAT AATCAACTACGGCAGCATAAAAACAAGGGATCCCGGTATATTCAGAAGAGGCGGCAATTA ACGTAGCCAGGAGCATTACCGCACCCAAAGTGAACATCATCACCTGAATTATCCAAATTC GCCAATTAAGCGTATCCATTTGATGATCTAACGCTTCCACCTCGGGTGTCGTGGTGTCGT ACGGTGAGACTTTTTCAGAACGCGGCCCCTTCTTTTGAGTTCCCATGTCTCCCAACACCG GGGAGAGCAACGCCGCCGTCTATGCGTCCAGTACACAGCTCGCGCGGGCGTTATATGGAG GGGATCTGGTTTCGTGGATTAAACACACCCACCCGGGAATTAGCCTGGAACTGCAATTGG ATGTTCCAGTAAAACTAATAAAACCTGGTATGTCACAAACTCGCCCGGTAACCGTCGTAC GTGCCCCTATGGGCTCTGGTAAAACAACAGCCTTGCTTGAGTGGCTTCAACACGCGTTAA AGGCAGATATTAGCGTACTGGTTGTCTCATGTCGCCGTAGCTTTACCCAGACGTTGATTC AACGGTTTAACGATGCAGGCCTCTCCGGATTCGTAACATATTTGACATCCGAGACATATA TTATGGGTTTTAAACGTTTGATTGTGCAACTTGAAAGCCTACACCGCGTATCCAGCGAAG CTATCGACAGCTACGACGTATTAATACTGGATGAGGTAATGTCAGTGATTGGACAATTAT ACTCCCCCACAATGAGACGTCTTTCCGCGGTTGATAGCCTATTATATCGTCTTTTAAATC GCTGTTCTCAAATTATCGCGATGGATGCTACAGTAAACTCTCAGTTTATTGATTTAATCT CCGGATTGCGTGGAGATGAAAACATACACACAATTGTGTGTACATACGCGGGAGTTGGGT TCTCCGGAAGAACTTGCACGATCCTGCGTGATATGGGCATCGACACGCTTGTGCGAGTCA TTAAACGATCTCCTGAACACGAGGATGTACGTACCATACACCAACTACGTGGAACATTTT TTGACGAACTAGCACTACGATTACAATGTGGGCATAACATCTGTATATTTTCATCAACTT TATCGTTTTCGGAGCTAGTTGCTCAGTTTTGTGCAATATTTACAGACTCTATTCTTATTT TAAACTCAACTCGGCCCCTATGTAATGTAAACGAATGGAAACATTTTCGCGTGTTGGTGT ACACTACCGTCGTGACCGTTGGATTGAGTTTTGACATGGCTCATTTTCATAGCATGTTTG CTTACATAAAGCCAATGTCATATGGGCCGGATATGGTATCGGTCTACCAATCATTAGGGC GTGTACGGTTATTGCTACTTAATGAAGTTTTGATGTACGTCGATGGCTCAAGGACCAGAT GCGGACCCCTGTTCTCGCCAATGTTACTAAACTTTACCATCGCAAATAAATTTCAATGGT TTCCTACACACACCCAAATAACTAACAAACTGTGCTGTGCATTTAGGCAACGATGTGCAA ATGCATTTACACGCTCGAACACCCATCTCTTCTCAAGATTTAAATACAAACACCTTTTCG AGAGATGCTCTCTTTGGAGTTTAGCCGATAGCATTAATATCTTACAAACTCTTTTGGCCT CTAACCAAATTTTGGTTGTATTGGATGGCATGGGTCCAATAACGGACGTTTCCCCAGTTC AATTTTGTGCATTTATACACGATCTCAGACATAGCGCTAACGCCGTAGCTTCCTGTATGC GTTCTCTTAGACAGGACAATGACAGCTGCTTGACCGATTTTGGCCCTTCCGGATTTATGG CCGATAACATTACCGCGTTTATGGAAAAGTATCTTATGGAGTCAATTAATACCGAAGAAC AAATTAAAGTATTTAAAGCCCTTGCATGTCCAATAGAACAGCCTAGACTAGTCAATACGG CAATATTGGGGGCGTGTATACGAATACCTGAAGCGTTGGAAGCATTTGACGTATTTCAAA AAATATACACGCACTACGCTTCCGGTTGGTTTCCCGTCCTGGACAAAACCGGGGAATTTA GCATCGCGACTATAACTACCGCCCCAAATTTAACCACACATTGGGAGCTGTTTCGCCGTT GTGCCTATATTGCAAAAACACTCAAGTGGAATCCGTCCACCGAAGGCTGTGTAACACAAG TTTTGGATACGGACATTAATACACTTTTCAATCAACACGGGGATTCGCTGGCTCAACTAA TATTTGAGGTTATGCGCTGTAACGTTACCGACGCTAAGATTATATTAAACCGCCCGGTTT GGCGAACAACCGGATTCTTAGATGGATGCCATAATCAATGCTTCCGTCCAATCCCTACAA AACACGAATATAACATTGCTCTATTTCGTTTAATTTGGGAACAATTATTTGGCGCCCGCG TAACTAAAAGTACCCAGACCTTTCCGGGAAGTACTCGTGTGAAAAACCTAAAAAAAAAAG ATCTAGAAACTTTACTTGATTCAATTAACGTGGATCGTTCTGCATGTCGTACCTACCGCC AGTTGTATAACCTGCTTATGAGCCATCGCCATTCGTTCTCCCAACAGCGTTACAAAATTA CTGCCCCCGCTTGGGCACGCCACGTGTATTTTCAAGCACATCAAATGCACTTGGCCCCGC ATGCCGAAGCCATGCTACAATTAGCGCTATCGGAACTGTCCCCGGGATCGTGGCCGCGGA TAAACGGGGCGGTAAATTTTGAAAGTTTATAACCCATTAATACCATATATGGACATCCAT AGGGGGGGTTACATAAATACTAAGCCTCTGTACAACACAAAGGGCCTCTAACAATGCACT GAACCACAACCAAGCTATGGACGCAACGCAGATTACCTTGGTTAGAGAAAGCGGACACAT TTGTGCCGCAAGCATATACACATCCTGGACACAGTCCGGACAATTAACACAGAACGGTCT TTCCGTGTTATACTACTTATTATGCAAAAACTCATGTGGGAAATACGTCCCTAAGTTTGC CGAAATTACCGTACAACAAGAGGATTTATGTCGCTACTCCAGGCATGGGGGGAGTGTTTC TGCGGCAACGTTTGCGTCTATCTGCAGGGCGGCGTCCTCGGCTGCGTTAGACGCCTGGCC CCTTGAACCACTGGGTAACGCAGACACCTGGCGGTGTCTCCATGGCACTGCCCTGGCCAC TTTACGGCGCGTATTAGGGTTTAAATCGTTTTATTCGCCAGTAACATTCGAGACTGATAC GAATACAGGTCTTCTGTTAAAAACAATCCCCGATGAACACGCGTTGAATAATGACAACAC GCCATCTACCGGAGTATTGAGGGCTAATTTTCCCGTGGCCATTGATGTTTCAGCAGTCAG CGCATGTAACGCCCACACGCAAGGTACGTCGCTAGCCTACGCCCGCCTGACCGCACTTAA ATCTAACGGTGACACCCAGCAACAAACACCTTTAGACGTGGAGGTAATTACACCAAAGGC CTACATACGTCGGAAATATAAGTCTACGTTTTCCCCCCCTATAGAGCGGGAAGGCCAAAC CTCCGATTTGTTTAACCTTGAAGAACGCCGCTTGGTTCTTAGTGGCAATCGCGCAATTGT GGTAAGGGTACTCTTACCGTGTTATTTTGACTGTTTAACAACGGATTCCACCGTTGCATC TTCCCTTTCAATATTAGCGGCATGTGGACTGTGGTACGCGGCGGCGTTTGGAAAACCCGG GGTTGTCCGTCCAATCTTTGCGTATTTAGGCCCGGAACTCAATCCGAAGGGTGAAGACAG AGACTACTTTTGTACTGTCGGATTTCCCGGATGGACCACTCTTCGGACACAAACTCCAGC CGTCGAATCTATTCGCACGGCTACGGAGATGTACATGGAAACGGATGGGTTGTGGCCAGT AACCGGTATTCAGGCCTTTCATTATCTAGCCCCCTGGGGACAGCATCCCCCCTTACCTCC GCGGGTGCAGGATCTTATTGGGCAAATCCCTCAAGATACTGGACATGCAGATGCAACTGT CAATTGGGACGCGGGCCGGATATCTACCGTCTTCAAACAGCCTGTACAACTACAAGATCG TTGGATGGCAAAGTTTGATTTCAGCGCCTTTTTTCCCACGATATACTGCGCTATGTTCCC CATGCATTTTAGATTAGGCAAAATCGTCCTGGCTAGAATGCGTCGAGGAATGGGGTGCCT AAAACCCGCGTTGGTGTCTTTTTTTGGGGGGTTACGGCACATACTCCCGAGTATATACAA AGCTATTATTTTTATAGCCAATGAAATTAGCCTTTGCGTCGAACAAACGGCCTTGGAACA GGGCTTTGCTATATGTACTTATATAAAAGATGGATTTTGGGGAATCTTCACCGATTTACA TACGCGCAATGTATGTTCAGATCAGGCACGTTGTTCGGCCTTAAATTTAGCGGCCACCTG CGAAAGAGCAGTCACGGGCTTATTACGAATTCAACTAGGTCTTAACTTTACACCCGCCAT GGAACCGGTACTCCGGGTCGAGGGTGTGTACACTCACGCATTTACCTGGTGTACCACGGG AAGCTGGCTGTGGAATTTACAAACAAACACGCCTCCGGATTTAGTTGGCGTGCCATGGCG AAGTCAGGCGGCGCGAGATTTAAAGGAGCGTCTTTCAGGACTCCTATGTACCGCAACAAA AATTCGAGAACAGATACAGGAAAATTGCATATGGGACCATGTCCTATACGACATATGGGC CGGACAAGTTGTGGAGGCTGCCAGAAAAACATACGTCGATTTTTTTGAACATGTTTTTGA TCGCCGTTATACTCCGGTATACTGGAGTCTTCAGGAGCAAAATTCGGAAACAAAAGCAAT ACCGGCATCTTATCTGACATACGGACACATGCAAGATAAGGATTATAAACCAAGACAGAT AATTATGGTTCGTAATCCCAACCCACATGGACCTCCTACTGTTGTTTACTGGGAATTGCT ACCATCGTGTGCCTGTATTCCCCCCATAGACTGCGCTGCTCATCTCAAGCCCCTTATACA CACGTTTGTCACTATTATTAACCATCTTCTAGATGCTCATAATGATTTTTCAAGTCCATC ATTGAAATTTACTGACGATCCCCTTGCTTCATATAACTTCTTGTTTTTATGACAAAAAAA CACGCCGCAACAACCCATCCTTAAAATAAAAGGTTTATTTACTTTACAACCCGTGGTGAA TTTTTATACGTTTCAAATAACTGAACATTTTTCGGTGTTACCATGGTGCGATTTAACCAC CAAAAATATACGCTCTTCTGATATTCCGAATCTCGTAAAGGTCCATTTAACAATCCCGGG GGCACTTGCACCACACCATCTGGACAGGGGGGGGTTCCGTGGGGCAGGTCAAAACGCTGA CCCACCCCACATGAATATATAGCCTTTATAATATTGGGGGCCGTTCCAGGCTGAGGGTTC AGTAACTTAACAAACATATAATGCGGCAATACGCGGGTTTTTGTAAAGGGGTTGTTATCA ACGACATACATTAGAGTGTTTAACAACCATAAAACTCCCTCATATAAAAACCGACGCATT TTTTCCAAAGGTCCTATTTGACACTCAACGCGTCTAAGATATACAGACAATTGTACAAAC AGCGATGGAGATGCCCCGGAGGGCCCAATGCCTTCCAGATACATTAAAATAACACATAAG GTAAAATCTAAAACATTATCCGGGCGGAATAGAGTCATCCGATAGATTAACAGGCGCGGA GGCACCCCCACCGTATACACCCTATCTTCAACCGCAGTTAATACGGAAAAAATAAATCCG CGGAACGCTGGTTGAGTAACACACTCCATGTAGTAACGATCACAGGACACCTCACTTGAA TCACCATTCAACACTACTAAAACGGTCTCTTGGTGTTCCGGTTTTACGCGCAGTGATACA ACAGAGTTTGCCAAAAAGCGTGGCTTCAAACCGGTTACCTCCCGCGCCTCGCATACGAAT CTTGGTATTGCTTGTATTCTAAGATCTTCGATCACGTCGCTCACATCCAACCCCTCTTCG GCTCGTGTTAGTAAGTTGTCGATCGTTACGCTGCAACCTAAAATGCTGGGTATATTTATT CCGGACATCCCATCGGCCATCCCCGCGCCTCCGGTTTGCTCGAATTTTATCCAGTAAGGT CGAATCCGCTGCATTTACCTTGTGTACCCGTAACCTCTCAGGGGGGTGTCCTTTCATAAA ATGGGATAGGTTTTTATATCCAACATGCATGTATTGGTTATTTATTTTATTGGGTTCCGG GATTCTTTCGTCATCTTCTGTAGGGTCAGGCAAACCCCAGGAAGGACTTGGCGTTCTCCG TGGGCCCCGTTTTATTACCTCTGCGCGAACCTGCATTTCATATAATATTCGGATTTGGGA TAAATAGGACTCTGTTCTCGCCTTTTTAAAAATAGCCTGGCATAACTCTTCCTCTGACCT ATGTACCTCGCTTTGAGTTACCAAGAATCCTAATCGGGTGGCCCGTAATATGAATGAAAA ATACGGCGCAACTAGTAATGAGATTGACGCATTTGAATATGATACAGAAATTTCCTGGCC TTGATTATTGTTTACCCGGTGAAGCTTAAAACAGCGAACAAGTTCCTGTTTCCATAGCTC AGACAAACGTGTTATATCATCTCCATAAGGGGGGATATAACGAGATTGAAAACTATTGGC AATATATGCATCATCCCCTATTATGCCGGTAAGATCTATAACCTCGTGATTTAAATCGGC AATACGTGTTTCTTCTGCCATTGTAATATGTGACCCTTTAGATGGCTTTATTTTTACCCT CTCTTCCCGTAACCGTTTCAGCTCTCCTTCTTTGAACTGGAGCCTTTCGGTCAGATCGCT GTTCACATCCTTGAGACCCTCAATGGTTTTGAATAAATTATTCACATAACCCTCGAGCAT GCCGTTGATACTGTTAACCACCGATGTTTTAAACGCACTTTGAACGTTTGTTGTTCCGGA CATTGCCCCCCCGTTAAAGGATTGGTTGGCCTTGCCAAACCCCGGTTGTGATGTGTCCAC CGATCCACTTCCTTCCAGAATGTGATTGCCCGTTTCTTCTAGATAGGAACGTACGGTTTC GGTAATATCTCCAACATGTCTCATGTTTTTTAAGTTAACTATTAGCTTTACAAGTCTAGA CGCGGCCGATCCAGCCCGTGTTGTATCGTTCTCGCCCATTATACGATCAACCGCACGTGT GCTGTGAGATCTATCATCTTCATTCCGGCGACCTATTAACACGCGCAAAGGGGCTGTATT TAAAACTTGGCAGACGCGAGCATGTTCACGTAATGCATAACAGGCCAACACCTCCCCAGA AAGCCGCTGTAAGGGTGAGTCAAATACTACACCCTCCCCACATACAACGGGCGGCCACAC GACCAAACACTCTCCCTTCATGCCCGTTACATCATCCTTTGCCATAATTAATCTTCGGTT ATAATTATAATAAAGACGCGTCCTATCATAATCCATAATAGCAACATTTTGCATACACTC AACTAGGCTTGTGACAACCGCCGCCCCTCTGGCCAACGTTGCATCGGCAACTTTTAACAT CTGGGACAGTTCTGCCGCTTGACTCATATACGTATTTAATGGTGCAGGGGTTCCATCCTG TTCTGATCGTACCTTTCTTACAACGGGCACAATACCTACACAGGCTATCCAGTCCACGTA TTTGGCAAAACCGACCCTTCCATTTAAACCACTGGTATAGAGACAACCGGTTATTCCACG CAGAAACTCAAGTAACGATGACTGTAATGTTTGACGCCAGGTTTCAAAAACCTGATGTGC AAGCCGTACGGCTTCTGATTCTCCACATAACCCATAACGTTCCGCTAGAGCCCCGGCATG CAGGTTACATTGTTGGATGTGGTGTTCCCAATCTGCTGCTAGGTCCTCATACCGAGTTGC ATCCAACGCGTTCATCAAAACGGTTGCCTGAACTTGGCGAATTACAGTTTCCGTAGACCG TACAGCGCTATATATGCCTTGTCCATCGGTATATCCAAAGTCACCGGCTAGGATTTTTCG AAACAACATACTTTGCGTGGTTGGGTGTATTAACATCCAGCCATCTTCCTCCGGAAATGT ACAAAACCCTATATCCGGGGCGTACTCATTCCAGTATATATCGAACATGTTCTTGTATTG GTCATTTGGGTTACTTCCATTCAAGCCCTGGTCAATAGAAACAGAACTTGCTATCCTTTT TTCTTCACTACCGGAACTGTTATTAAAAAGAGACGTTATTTCGGCCATTGAAAACCACGA TGAAAAGATCAATTTCTGTAGACAGTTCTTCACCCAAAAACGTTTTTAATCCAGAGACGC CCAATGGATTTGATGACAGTGTATATTTAAACTTCACCTCTATGCATAGCATTCAACCTA TCCTCTCACGGATTCGAGAACTTGCCGCAATTACGATTCCAAAAGAACGTGTTCCGCGGT TGTGTTGGTTTAAACAGTTACTCGAACTGCAAGCGCCTCCTGAAATGCAGAGGAATGAGC TCCCCTTCTCCGTTTATTTAATTAGCGGAAATGCCGGCTCCGGAAAAAGCACGTGTATCC AAACGCTTAACGAAGCTATCGATTGCATTATTACCGGATCCACCAGGGTTGCTGCCCAAA ATGTTCATGCTAAGTTATCAACGGCTTATGCGAGTCGTCCGATAAACACAATCTTTCATG AATTTGGTTTTCGCGGAAATCACATTCAGGCTCAGCTGGGCCGTTACGCATATAACTGGA CTACGACCCCCCCTTCTATTGAGGACCTGCAAAAAAGAGATATTGTATACTACTGGGAAG TTTTAATTGATATAACAAAACGAGTGTTTCAAATGGGGGACGACGGTCGCGGAGGAACAT CGACATTTAAAACCCTGTGGGCAATTGAACGTTTGCTTAATAAACCTACAGGCTCAATGT CCGGAACCGCGTTTATCGCATGCGGTTCCCTTCCGGCTTTTACCCGGAGCAACGTTATTG TTATTGATGAAGCAGGATTGCTAGGGCGTCATATTCTCACGGCCGTTGTTTACTGTTGGT GGCTTTTGAATGCTATATATCAAAGCCCTCAGTACATAAACGGTCGAAAACCGGTCATAG TATGCGTCGGTTCGCCCACCCAAACTGACTCGTTAGAATCTCATTTTCAACATGACATGC AGCGTTCACACGTAACTCCTAGTGAAAATATACTCACGTATATAATCTGCAATCAAACTC TGCGTCAATATACTAACATCTCACATAACTGGGCAATCTTTATTAATAACAAACGATGTC AAGAGGACGATTTTGGAAATCTTTTAAAAACGCTTGAGTACGGGCTACCTATTACCGAAG CACATGCGCGTCTGGTCGATACATTTGTTGTACCTGCATCCTATATTAACAATCCTGCTA ATCTTCCCGGATGGACGCGTCTGTATTCGTCGCATAAGGAGGTGAGCGCGTATATGAGTA AGTTACACGCGCATTTAAAACTATCGAAAAATGACCATTTTTCTGTGTTTGCCTTACCGA CTTATACATTCATCCGGCTAACGGCATTTGATGAATACCGCAAATTAACGGGACAACCCG GACTTTCTGTTGAACATTGGATACGGGCAAACTCCGGTCGTTTGCACAATTATTCCCAAA GCCGAGATCATGACATGGGAACAGTTAAATACGAAACACATTCAAATCGCGACTTAATTG TAGCCCGTACAGACATCACTTACGTGCTAAATAGTCTCGTAGTTGTAACCACAAGACTAC GTAAGTTAGTTATTGGATTCAGTGGTACATTTCAATCGTTTGCAAAGGTTTTACGTGACG ACTCCTTTGTGAAGGCTCGAGGAGAGACATCCATCGAATATGCTTACCGGTTTCTGTCAA ACCTAATCTTTGGAGGCTTGATTAACTTTTACAATTTTTTGTTAAATAAAAACCTACATC CCGATAAGGTATCGTTAGCATACAAACGGTTAGCTGCCTTAACCCTGGAGTTATTGTCTG GAACAAACAAAGCCCCCTTACACGAAGCAGCGGTTAATGGGGCGGGTGCCGGGATTGACT GTGATGGTGCAGCTACTTCTGCCGATAAAGCCTTCTGCTTTACCAGAGCCCCCGAGTCCA AAGTAACGGCCTCCATACCCGAAGACCCGGATGATGTAATTTTTACGGCACTTAACGACG AGGTTATTGACTTGGTATACTGCCAGTACGAATTTTCCTATCCCAAATCATCCAATGAGG TCCATGCTCAGTTTCTGTTAATGAAAGCTATTTACGATGGTCGATATGCCATATTAGCAG AGCTTTTCGAAAGCAGCTTTACAACCGCCCCCTTTAGCGCGTATGTCGATAATGTTAATT TCAACGGAAGCGAGCTTTTGATCGGCAATGTGCGGGGGGGGCTGTTATCTTTGGCATTAC AAACAGATACGTATACCCTTTTGGGGTATACTTTTGCACCCGTGCCAGTCTTTGTAGAGG AACTGACCCGAAAAAAGCTGTACCGCGAAACTACCGAAATGTTATATGCTCTACACGTAC CTCTTATGGTCTTACAGGATCAACATGGGTTTGTGTCCATCGTAAACGCTAACGTATGTG AATTTACCGAGTCTATAGAGGATGCAGAATTGGCAATGGCCACCACGGTGGACTATGGCC TTAGTTCTAAACTAGCCATGACAATTGCACGCTCACAGGGTCTGAGTTTAGAGAAGGTAG CTATCTGTTTTACGGCGGATAAACTGCGCCTAAATAGTGTGTATGTTGCCATGTCGCGTA CGGTCTCCTCTAGGTTCTTAAAAATGAATCTAAACCCTCTACGGGAACGATATGAAAAAT CCGCAGAAATTAGCGATCACATTCTTGCCGCTCTACGTGATCCCAACGTACACGTTGTGT ATTAAAGCATTGTATAAAAACACGCATGCGGGCTTGCTGTTCTCATTTCTAGGTTTTGTC TTAAATACACCCGCCATGAGCATCTCTGGACCCCCAACGACGTTTATTTTATATAGGTTA CATGGGGTTAGGCGGGTTCTTCACTGGACTTTACCGGATCATGAACAAACACTCTACGCA TTTACGGGCGGGTCAAGATCAATGGCGGTGAAGACGGACGCTCGATGTGATACAATGAGC GGTGGTATGATCGTCCTTCAACACACCCATACAGTGACCCTGCTAACCATAGACTGTTCT ACTGACTTTTCATCATACGCATTTACGCACCGGGATTTCCACTTACAGGACAAACCCCAC GCAACATTTGCGATGCCGTTTATGTCCTGGGTCGGTTCTGACCCAACATCTCAGCTGTAC AGTAATGTGGGGGGGGTACTATCCGTAATAACGGAAGATGACCTATCCATGTGTATCTCA ATTGTTATATACGGTTTACGGGTAAACAGACCTGACGATCAGACCACACCAACACCAACC CCGCACCAGTATACATCGCAAAGGCGGCAGCCTGAAACCAACTGTCCTTCTTCACCACAA CCGGCCTTTTTCACATCAGACGACGACGTTCTTTCGTTAATATTACGGGACGCCGCAAAC GCGTAAAGACAGATTCAAGACTAACATTTATCCCAACTGATTACATTTCATACGCGAATA AACGACACAAAAAATTTATATTTAACGGCTTTTAATTTGAAGACACCTATCCTCTTAACG TTGATGAGCCTTGCAGGTTGGGTGCCGCGCTTCACCGGTATTATACATAACCGATTTACC GTGTTTACGGCAGTCTGACCATTTACCAGTGTATGTCTGTAATACGACGTTGTTGTGTCC CGACAAAATTAACTCGCGTACAAATTTCTGATGTTCCCCCGGCGTGGCAACGCTGGCATT TCCAAACACATTACGTTCTCGTACGTCCATGACCGCTATTTTCAGTATTAATTGGTTGGT CGGTCAAAGTATTTTCCTTATGTAAAAGGACACGATCTAAAGCCGTAAACTCGTACACAA ACACTGGTACCAACGGACGCGATTTTCCGTCCGTTGAGCGGGTGTAATATCGGCGAGGTC TTCTTGCACGAATACTCTCGTACAGTAGGTTTCTGACACGGGGTGCATGGGTTTTTTGAC ACAACACAAACATTTGCAGGCTCTTATGACTGGATGGATTGAATTTATTTTTAGATAGGG TCACGTGTTTTTGTCGTGACACGCCTCGACCAGAAAAGGCTGCGGTTTTCGTACACGCGA CCGTTATTTCACAGGCGTTCATAACCAAGCTGCGGCGGATGGTGTCGGTTAATTGTCTCC GCCCAAGTTCGTCAATAGATGATACCATGAACAACGTATCAAATGGTACATAGTCGTCTT TGGTTTTCTCAATACAGCCCGCGTGCCCAATCGGAAAATTTTCATTTGCATCAACGCTAT TTTCTGTAAAATCGTTCTGAACACTGTGTTGGCTGGCTACCTGTTTAAAATTTGGGATCG AACACGGTCCACGATGCAATCCCCAACCCCATTGAAGCAATGCCGTCGGTACGGAAGGAG GCAACTCCGAAAACATTATGGTACGCAAGAGGGTCGATTGGAGTGTTATATAACACTCCA ATCGATCTCGGGTTCGCCTTTACGCGTAAAATACTCATTGGCTTGAACGAAATGTCGACA ATTCCGAAATGGAACACGGGACAATGGCGACGGATGCGCGTGTGTTAGCACCAGATGACA TCTTGAATTCGGTTGGGTTGTCTTCTGTGCATGCGCACCCCACAGCATAAAAACTAACCC TGTACGGTTCTCGCATAACCTCTGTAGCACGCGTTGCACCAGCCGCCCCCAGCCTAAGTA TACATGCGACCCCGGAGTCCCGCGACGAACCGTAAGCGTGGTATTCAGCAATAACACCCC CTGCCTTGCCCAACTCTCCAGGCATCCGTGAGTGGGCGGAGTCATATTTGGGTATGATTC CATGAGGGCCGCAAAAATATTTTTAAGACTAGACGGTGGTGTTATGCCACGTTTTACACT AAACGCTAGCCCATGTGCATGTCCCGCGGTAGGGTATGGATCTTGACCAATAATTACAAC GCGAATGCTCTGGGGTCCGCAAAATCGCGTCCATGCAAAAATATCGCCTGTAGATGGAAG TATTTCTTCCCCTGAATTTAAAAGACGATTGTATTCTAAAAAAATACCTTTCGCGTACGG CTCTTTAAGTTCGTCCGACAACAGGTCATACCACTCAGGGGAAATGTTAAACTTGCTGAA AACTTCAACCGAATCCAGTTGCGAAGAGACGGGGGTGAACGTTTCCGTGTCGTAATGATG TGACATGTTATTTAACTTGAAGGTTGGGGGGTCTAGCTTAACCCCCAAAGGCAGCCCGCG GGGTCGCTTGCGGGTTTTTTTGGTAACCGGATGGGCCAAAACATAAATGTCCTTTGAATC CGATAGTTTCATTTCATTGGCATACGCGTTGGAACAAACGGTCGGCTCCCCAGACACATC CATTTTCCGGGATATTTGTGGAAGATGGAGTAGAGTCTACCCATACACCGGAAAGGGCAT CCAACAAAGCATCGCGTATGTCCCCGCTTTTATGTTCTTCACCAACAGATTGTGCCAGCC CCTTTAAGGTGACGTATGGATTTGTCCAGTACGCCATTTGTTTGTCTTTAAACCAAAGTA TAACTTCCGGTACTGGACATTTTGTCTTAACCACGATTCCCGATAGCGCCTCGCTGAGGT TTGATACAGGGGGTGCCGCATAGTCCCACGCCTCATATACCGATGACACGCACGGTTCCG TTATAATCAAACTCACATCCGATAGCGGTTTGGCTCCAAAAAACAACGGAGTGTCGTCTT GGAGATGAAGACAATACGCGATTGTGATAGTTTTTAAAAAAACTATCTGCAGTAACCATT TATGTGATGCCATGACGCTTGTGTTTTCCCTTCACTACGACGTTGTCGTATCCTTTGAAA AACTTGACCACTCTAATGGAAGCATGGACAAGTATGAGTTTTATATATACAGTTGGCCTT TAGTTAAACTCTTGGTGTCATATCTCATTTTCCTAAAAAGGGCGATCTTAATATGTCAAA CGTCACGGCGTGCCGACAAAGCGAATTTCCATGCAAGATTTGGATGTAGTATTTATACAC CCAATCACATGTCACGTATTAAGCTTTACAGTCCCCCGTTATCTGATATAATCACTTTTC TTAACACGTCATCGGGAAAACAGATGTTTATATTATACCTCTCGCGGTCATTTATGGCAA ATACTTAGACCGTTTTCAAGCGGACTGAAAACGCTCAAATTGCCTTTTGGAGGCCTGCCC AACGGCCATTATCCCTTGGATCTGAGATTGATTTGCGGTAACGTTTGCCAATCAAGCTTT AAAAACGTACCCCAAACTGAAAACGCTCAAATTGCCTTTTGGAGGCCTGCCCAACGGCCA TTATCCCTTGGATCTGAGATTGATTTGCGGTAACGTTTGCCAAACCCACGCATTTCAGTT TAAATATTTCTAAGCATTCTTAGTGCGTACTTGGCAGCGTGCTTAAAATATCAACCAATA TCCATTATGCTACACGTTTCCTTCTATCCGTTTCAATCCATTAAAAGTCCATTAACAAAA ATGATGCATCATACCTAATTCACCTAAAAACCTGACTCATTGCAGCAGCGTTTCCTCCTT GCAGACTATCCAGTTGGCATTTTAAACGGGTCCGGCTGCCTAAACCGAAAACACCGTTGC CTTTACTGTAAGTACAAAACTAAAATTTATATTTGCGTGCGTATTTTGTAACATATATGC CTTTTATCCCCCCGCAAGTTTGCTTTACCCTCGCCTTCACCACCCCCGCCACCTTCCGGC CATTTTAATAACTTTAATTGCTATAAGACATACCCAAACCGGATGATTTTTGCCGCTGGA AAAACAGCTTCTAATTTTCCCGTCTCAACTCGGCCTTGGTTGCATCTCCAAGTATACCTT TAGTTTGCTCCCGTAGAGGTGTATAAATACAAACGGTGACAAGTATTGAGCGTAATCTCA AATTTTTGTAATTTAGGGCGGAGCGCTTACGACAGCACATGCGTACTGTTAGACTGTTAT GTTTATTGTATTTGCAGAGCAGGATGCCCCGGTTACTCCGAGACCGGATTGCGGGCATTC CGAATCGTGTACGGACTTACCAGGGGGCAGTATTTACACCTTGGGTTCCAGATATACCAA CCCTTACGACCAATAGCAACACTCAGGTATTTTTAAAATGCACGTTTAATGATCATAATT TACATACAGTTGGTAATAAAGCAGACTGTGGATGTTTAAGGCATTTCCTTCCCCCTCCCA ACAAACTAGGACTTCTTCATCTTGTTTGGAATACCTTTACCCGCTTTACCGGCAGAGCTT TTTTTGGTAAGGTGTTTCAGTGAACCTGATGTTGATCCGGAGGTGGAGGGGGTATTGGAC TCCCCCTGTGGAGAGGCAACTTTGCGGGTTTTACTTCCCTTACATGCCGAATCAGACTCA GATGTCAGGTCTATTGTTAAGCATCGTTTAACGTCTCTGCCGGTATGAAATAAACGGCGC TTAGCACCCCTTGCGCTTCCCGGTTTAATCCCCGGTAACACAGAAAAAAGCCTGACTTTT TGGGGTGTATTTACCAATCGGGTATCCCTTTCATCGCCACGAGAGGTCTCCCCGGTTGAG GTGGTTTCTGGTCTTACAATTGGACCTGTAATTAGTTGGATGGCTGTATCTTTCCAGGTC CAGGTTTGCATGGTTAGGCGGGTTGGATCGGTACATCGATCCAACAAGAATAACATGTTT GTTACAAACGGTCCTGTTGAATCATGCAAAAGACAACGCAGGGATGTTTTTAATCCCGCC TCATCACGCCCGTAAATACCTATATAGTTTAATATCAACATTTTTGTAGGCTCTACAATT TCGGGTTGATACAGTTCCGCAAGTTGATCATCAAGCCATCCGAGTAAAGGTTGCATGTAA CACGGGAATCTCGCGTTTCCCTCTGTTCCTCTATCCGTGGCTCGAAAAGGCAGTCTGTCC ATGGTTCGTGGGTCTTGATTAATTCCCACAGATACTGGACGATCACGGTAGTCCTGCCCC CCGGTCCGGGGTTGCTGTGCAGATTCAATCGAGCCATACACCACCGGGGTCGCCGATCGA ACAGCAGGTTGGTCTTTAAAAAATACCTTCCGTAAAAATGATGCGGTAGAGCATGTTTTG GTTACACCAGGGCTCGAGTCTCGGGTCGGTGGTTGTATAGAATCCTGTTGAGAGTCACTT GGTGACTCTGCTGTGGGCTCTCTAGCCGACGATTGAAGGGGCCCAGGGTTTGGTGATTGA ATGGGCTCCCGACTCGATCTTGATGTTGGCTGTTGGATGGACTCCCGACTCGGTCCTGGG CTTGGTGGCAGAAGATCTATGACATCTCCCGGTAGGATGTCGATGGAATCTTCAAATGAC GGCTCAGAAAAACCATCGTCGTCGGATGGGTGCACTTCATATTCCTTGTAACTTGTATCA CTTACGATCTTATGCAGGATGGATTGCACTGGACACCGGCAGAGAGGACACTGGACGCTG GTGGAGGTCCATGCCCGAATACAAACAAAGCAGAAGTCGTGCAAACACGGCATGGTTTTT CCGAGATCGGAAACGGTGCTCATGCATATGGTGCAGGTATTATCCGAAGCGTCGGAGGTG CCGCTACCGCCCGCTAATATGGTATCCATGGTAACAACTGGCTGTATTCTAATGTCCGGG CATCCAAACACGTAGCAGAACTGCCATGCGTTCTAAATTGTGAGTTGTGGCGAGTACATT TTTATAATTGGTACCAACGAAGACACACCCCTATATCCCTCCACCCATTTCTTTTAAGTC CCACCCACTAAAACGTGGGTATAAAATGTGTATTGGGGTAGGCGGACAGTCCCAACAAAC AGGGAAGTTGATTGGTATAACCTTGGGCCGGGTATACAGCTAAGTGACATTTTAGATTCT GTCTTTATTTAGATAAAGAGCGATACGAAGACATTTCTCCACCCCCCTGTAATACCCGTA AATAAAGGTAAGTCCACAAACAAAAGCACTGTATATAGGAAGTCGGGTGTATTGGGACAG TTACTCCATTAGAGGCGTACAAACAATACTGGGATAGGGTAATGCAAGTCCCCCCCGATG GTCGCCCCGCAAACGCGCGGGGAGGTGGGGTCGCTTTTTTTTTTCTCTCTCGAGGGGGCC GCGAGAGGGCTGGCCTCCTCTCCCGGGGTCCGCCGGGCGCCCAGAAACCGGGGGGGGGTT ATTTTCGGGGGGGGGTCCGACCAGCCCGCCCGTCGCCCGCCCGCACAGACAGACAGACAC TTTTTTCATAAAAACCGTTCCGCTTTTATTAACAACAAACAGTCCGCGCGCCAGTGGCGC TCACGAGAAAAGGAGGGGACTCCGTCACCCCCGACTCTGCGGGGGGCTCCTCCCCCCGCG CCCTCCCCACACATCGTCCTCGTCCTCGGAGGACGAGGACGAGGACAACAGCTCCACCTT GACCGCCGGGCGCAAACCCACCCGGCGGTCTCGCAGCACACCCGGGGCCACCGACACGAT GCTCACCCCAAAGGATGACCCCGGTGCGTCCCCGTCGTCCCCGCCCCCCTCCTCGCTGTC CCACGCGTCTTCACACCCCACCTCCCAATCGTCCAGCTCCAAAGCGTGTTCTCTGTCGTC TGCGGTGCGCCGCTGTCGCCCCGCCTGGGTTTCTGACGGCCGTTCCGAGCCCCCGTGGTG TCCGAACACGAACCGTGTTCCGTCGCTCCCCTCCAACACCGTCTCCGCGGCCCCAAAACC GGGCGGCCACATTACTCTGGGAATCGGGGGGAGGGCATTCCGAGCCTCGTCCGCCGACGC ATACAGCGCCACCGACCGACCGGCCACGGGTGGAAGCACGAGTGGTTCTGCGGCAGGGTC GGGTTCCAGCAGGGCGTGGCGGCAAAACACCCTCGCCCAGGTGGGTACGTCGCCGGCCTC CGGCCCGGCGGCCCCCGGTCTCCGTCCCTCGGGAAGGAAGACGGGTCGAAGCGCGGCACC CAGGCCCCATCGGTTTGCTGCGCGGTGGCTATGTGCCGCCTCGTCCACAAAGTCGGCTGC CCCGAGCCCCAGACCCCGAGACTGTCGCGCGAGGTCCTTGCAACCGTCAAAACCCGGCAG CACGTACTGCCGGTATTCACGGGGCGACAGGGGGACGCGGGTCTTGGGGCCCGCGCGGGT ACACACGGTGTATGCGACGTTCCCACCGCGGCACAAACACAGGGGTTGTTCGCCCGGGTA CAGGTTGGCAAACGCAGTCTCGATACGAGCAAAACTCGCTGGCCCAAAGGTGCGCGACGA TGCAAACACGGCCCGGGCGAGTCCTTCTGTGACCGCCGAGTCTGGCCATCGGACGACGGC CTGGGCGTCCGGTCGCGCCGGGGCCCGGACGTACACGTGATACTGAGACAAAGCGGGTCC ATCCCTGGGCCACCTCTCGAGGGCCACCGCGTCCAACACCAGCAACCGGCGCCGGGCAGA GGCCAACCGCGAGCCTAGATACTCGACGGCCCCGGCAAAGGCCAGGTCTCGGGTCGACAG TAATAAAACGCCCCGGGCGTTCAAAGCGGACACGTCCGGCGGGCCGGTCCAGTTCCCGGC CCAGGCATGAGTGCTCGGCAGGCACAACCGGTTACTCAGGGCTGCCAGGACCACAGACAG TCCCCCTCGGGATGGACTCCATGACGGTCCCGGATCTGTCGCGAGGGTGCTCTCGAGGGG GCCGTTGATGTCCTCTCCGGGCAACGGATCGTAGATGATCAGAAGCCTCACATCCTCCGG GTCTGGGATCTGCCGCATCCAGGCGCACCTCCGTCGCAGCGCCTCCACTCCGCTGGGTGG ACCAAACCGTCGGTCTCCTCCGCCCGGACGCCGAGCGGCGATTTCCGCCAAGGCGCCGGG ATCAAAGCTTAGCGCAGGGCGCCAGGCCGTGGGAAACAATGGGTCGTCGACCAGACGGGC GATGGTTTCGGGGGTACAGTACGCCTTGCGAGCCTGGTCCGACGGGACCGGGGTATGCAG GGCCCCCCGGGGAATACGCCGAAATCCCCCGTTTGGGGCCGGTCCGTCAAGTGGCATCGT TATTACGGCGGGGGGATCCACCACAGGGCCCGAGGTGATGGTCACGGGCTCGGATACCCG CCTCTTGGCCTTGGAAACCACATGATCGTCTGCAACCCGGGCGTCCGCGACGGGTGTCTC CCTAATCTTGTCGAGGAGGCTTCTGCTCTCGACTGGCTGGGACTTGCGCTTGCGCGGAGT TCGTAAACGATCATCCGGTGGACACACAGAAAGAGAGCGTGCGGCGGCCGACGGCTGAGG GTCGGGAGCCTGTGTGGCCGGGGTTGTTGGAGAAGGGTGACCGCGGGAGATCCGCGCCGC CGGACTGGAGCCCGTTGCCTCGGGGTATGCCATGCTGGCAAAGGCTCTGCGGAGACTCTG TAGGATAAAGTGTTTTTGGGCCCGGTCGTATCGACGGCTCATAGCCACGGCCGCGGCCGC GTGGGGGAGAGCCCAGAGGGCCTCCCCCGTGGCCATGGCTTCGCCTACATGCGGAACGGG AGACGCTACGCTCCCCGTAACGGCGGTACCCGCCCGTCCCGGTGGCAACAGCTTTTGGTA GAACTGGTTCAGGGCCGAGTTGACACCGGTCAGCTTGGGGTTCTGGAGCCATGCTATAGG GTCTCTGTCTGGACAGTAGATCAGGTTAATCAGCGCGCGGTACTGTCTAGCCGGATCTCC CAACTCCGGCACGTAAAGCGGCACGGGTTCCGTTGAGGCCTCGTAACGAGCCCGCGCCGC TCTCACAGCCTCATCCTCCCAGTGACCCTCTCTGGTCTCCCCGGACGGTCCAAACCGCAC CCTGTTGGATGGGAGGGGTGCCGATCCGGGCCAAGGGCTTCCGTCGGGCATCATGAGCGG CCCCGACACCGGGGGAATTATCGGGGTTCTGGATCGCGGCAGGGAAAATGATTTCTGTCT CTGGCGCCCCGGTTCCCCCGCAAGACGTTTGGTCTTACGAATCCTCGGATCGGGACCGCT GATGGATCGATATCCCGGTTGGATATTTTGTTTCGTCGACCCACCATCATTTGAGTCCGA ATCATCCGAATTTGACGGGGAAGGGGCGTGTTCGCGTCCGGACCTGCTGCCTGTAGTTTC ACTTCCCACCGAAACGCGCCGGGGTTCATCGTCTTCATCCTCCGATGACGATCCCCACGA CGAGGAAGAGGATGAAGACGAAACAAACTCACGACTCTTTGGCTTTTTCTCCACTGGGCT GTCATCCTCAATCGGGTCTGGTGCGTGGGATCTTCCCGGCAGGGCCAAAAACGCTCTAGG TTTGCCCCCCGACGAACGTCCAGGGACGCGAGGTGTTATACCCCGGGCATCATGTTTCCT TGGGCGGGTATCATCGGTCTCAAACGGCAGGTCCGCCTTTGCCCCCTTAGCGGGAACGCT GTCCGAAAGGACGTGGTACAATTGCTCAACCGGGCCGGGTACAGGTCCACCGGGTTTCCG CGCCGGGAGTGGGACCTTAACCTTCAAAGTCTTTTTCTTCGGGCTCTTTCCCTGAGCGGG CCGTTGAGTTTTCTGGAGAACTACTCCGTCCCCCGATGCATGCGCATGACCCGCTTGCTC ATCGCCCGGCTTTTTACCCGAGATGGACTGAGTTTGTCTGTCTCGATGGACCACCGACGG CAAACCTGGTGAATTTCCTCTCGTCGTTTGTCGGGGTATAGACCGCTGGTCTTCCCGTTG ATCGTTCCCGGCGGCGTCTCCAACAGGAGACGCGGGGGATACAGGGGAGAAGGCCTGCGG GAACGGAGGGGTCGTACCTCTGCCCGTTTCCCCATCGTTCATCGGTGGTTTTGGAGACCT AGCAAGCTTCGTTCCGAGAGAGACTGTCTCAAGGGAGCGATCGGCTCCTGTTGGTTCTCG CGCGCCGGCCTCCGAGAATCGGGTGTGGAAGACCTCGGCCAGCGGGATTACAGGCGAGCC CATTAGATCCTGACCGTCCTCGCATACGTAGTCGTCTTGTGTTAGCTCTTCGCCAACATC TTCCGTTCTGGGTTCTGGTTGAAGTCCCGATACGGAGGGAATTGAAACGATCTCGTGTTC CCGTCCCACCATGACCCCGTTCTCTCCAAATAGTAGATCGTCAGGCTGACTCGAGGTGAC CACCCGGGCCCTGTGTTCGGCGGCCGCCGCGGCCGCGTCCAACAGGTCCATTAACTCCAA AGTATCAGGCGACCCCGCGCGTTGGGGTGTAGAGCGCTGCATCGGCGGCGTATCCATCGC ACTGGGGTGAATTTAGACGTACCCGAGTTTTCCAAACGCTCTCGCAGCCTTCAAAGGATT GCGATTGCGGTTGGTGAGGGAGTTCCAACAGTACTTAAAACGTGTTGTGCCCCCCCCTCG ACCGCATATTTCCTCCCCGTGTCGTCACCGTGTAAATATTCTTAATGATAAGACGATGTA GTGATTGGACGAGACTCGAGGCGGGAAGTTCATGGACCATAGTATGCGTTTAAGGAGAGA CCGCTGGTTGGCGATGTACGCCCGGTGTCTATTTCCGCATACCTTACAACATCATAACAA GGGATACCAGACATGTGAATTTCATTTACATATGTTTAAATAACAACCAATCATCGTGTG TCTACAGACGATATATAATATACATAAACACAATTGGGGTTGTCTCACATGCAAAACATC TTATATAACACGGGTTGTTTCCACCCATCCGGCATCTAGTTAATCAAATGCACGTCGACG GTGTGTTTGGGTCCCTCTCCGTCGTCATTACGTTCGCGCAATCAACAAGCGTATACACCA CCACCCCTCCCAACGATTATGTCAGGCGGCACGAAGCCCGCGATAACCCATAAAATACAC ACGGGGTTGTGGTGTTCACGTAACCCCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCG ATGGGGAGGGGGCGCGGTACCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCGATGGGG AGGGGGCGCGGTACCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCGATGTTTATAACC ATAATTCTCTAAACCGTTGTAGAAAATCACAAAAAAATTTATTCAAAAACAAGTCGAAGA ACTTCATATCTGAGGCATGTAAACCCGTTCGCACTTCCTGGGGTGGAATGGGGTGGGGTG GGGGGGTGAAAAAGGGGGGGGGTTAAATTGGGCGTCCGCATGTCTGTGGTGTACGCCAAT CGGATACACTCTTTTGATCTGCATTCGCACTTCCCGTTTTTTCACTGTATGGGTTTTCAT GTTTTGGCATGTGTCCAACCACCGTTCGCACTTTCTTTCTATATATATATATATATATAT ATATATATATAGAGAAAGAGAGAGAGTTTCTTGTTCGCGCGTGTTCCCGCGATGTCGCGG TTTTATGGGGTGTGGGCGGGCTTTTCACAGAATATATATATTCCAAATGGAGCGGCAGGC TTTTTAAAATCGATTTGACGTGATAAAAAAAAACACACGGGGCCCCCCCCTTTTTTTGGT GTTATAAAGGCAACCCAATCGAAGGTCTCCCGCCCCGGAATCCCCCATTGCCATTTTACC CAAGTAGCCTTATTCATAGATGTAAACGTTTGGGTGTGTGTTTTGTTGTGCAGGGTTCGT CCGATTCATAACGCGACAGCGTCGAGTCGGTTTTAAGGGAAAAGGTTACTACGGCCCCAA GGACATGTTTTGCACCTCACCGGCTACGCGGGGCGACTCGTCCGAGTCAAAACCCGGGGC ATCGGTTGATGTTAACGGAAAGATGGAATATGGATCTGCACCAGGACCCCTGAACGGCCG GGATACGTCGCGGGGCCCCGGCGCGTTTTGTACTCCGGGTTGGGAGATCCACCCGGCCAG GCTCGTTGAGGACATCAACCGTGTTTTTTTATGTATTGCACAGTCGTCGGGACGCGTCAC GCGAGATTCACGAAGATTGCGGCGCATATGCCTCGACTTTTATCTAATGGGTCGCACCAG ACAGCGTCCCACGTTAGCGTGCTGGGAGGAATTGTTACAGCTTCAACCCACCCAGACGCA GTGCTTACGCGCTACTTTAATGGAAGTGTCCCATCGACCCCCTCGGGGGGAAGACGGGTT CATTGAGGCGCCGAATGTTCCTTTGCATAGGAGCGCACTGGAATGTGACGTATCTGATGA TGGTGGTGAAGACGATAGCGACGATGATGGGTCTACGCCATCGGATGTAATTGAATTTCG GGATTCCGACGCGGAATCATCGGACGGGGAAGACTTTATAGTGGAAGAAGAATCAGAGGA GAGCACCGATTCTTGTGAACCAGACGGGGTACCCGGCGATTGTTATCGAGACGGGGATGG GTGCAACACCCCGTCCCCAAAGAGACCCCAGCGTGCCATCGAGCGATACGCGGGTGCAGA AACCGCGGAATATACAGCCGCGAAAGCGCTCACCGCGTTGGGCGAGGGGGGTGTAGATTG GAAGCGACGTCGACACGAAGCCCCGCGCCGGCATGATATACCGCCCCCCCATGGCGTGTA GTCTTTATAAATAAATACAATGGTTTGGCTCGTGTCTTTTTTTGATGTCTGTCTGTGGGG GAGTGGGGTGTTGTGGATATTAGAGGGTAGAGGGTGCTGGTTTGAACGTCTCCATTAACC CACGGGGTCCCCACACGGGCCGTGTGGTATGAATCTCTGCGGATCCCGCGGTGAGCACCC GGGCGGTGAATATGCCGGACTTTACTGCACACGACACGATACCCCCGCGCACCAGGCTCT CATGAACGACGCCGAACGGTACTTCGCCGCCGCGCTATGCGCCATATCTACCGAGGCCTA CGAGGCTTTTATACACAGCCCCTCCGAGAGACCGTGCGCGAGTTTGTGGGGGAGGGCAAA GGACGCCTTCGGACGGATGTGCGGGGAGCTCGCAGCGGATAGACAACGTCCACCCTCGGT TCCGCCGATCCGCAGAGCGGTGTTATCGTTATTACGCGAGCAATGCATGCCGGATCCACA ATCGCATCTGGAGCTCAGCGAGCGGCTGATATTGATGGCATATTGGTGCTGTTTGGGACA CGCCGGACTTCCGACTATTGGATTGTCGCCCGATAATAAATGCATCCGCGCCGAATTATA TGACCGCCCCGGGGGAATTTGTCACAGGCTTTTTGACGCGTACCTGGGCTGCGGGTCCCT TGGAGTCCCAAGAACCTACGAGAGATCCTGACACCCCATCCCTTTATATAGAAAAAAAAA ATAAATTTAAAACATACACCGGATAAAAGCGTACTGTTTTTTATTTAAATTTACACGCTC GGCGTTGCCCCGGTTCGGTGATCACCGGGTCTTATCTATATACACCGTGTAACTCGAACC CCCGTGACTCCCTCCAATCGCGTTACCAAACTCTTCTTCCGTATCCGTAGATTCCGAGTC CTCGAAATCGTCCACTTATCCAACAAATTGTGACGTTATATATCCCAAGGCAAAGGCCGC TCCCGTCATAGCAAATACAAAGACAATTATTAGCGTAATATAACAGAATTTTTTACGATG ATATATTTTATGTTGATATTTTCCAATTCGACGCAAAAATTCATCTGCCGTTTCATTTTC GCTATCACTATAATAACACTTTTCAGCCGAACGGCTCGGTTGTATGGCTGTTATCGTTGT ATTATTTGGTTGCGCTCGCGGGGTTACCACCGCTTCCATCAGTAAGGCCACGGCCTCACC CTCCATGGTGTTTTGTCCGGCCATAGAAATCCAGATTGTAAGGCCAGCAGGCTAGTTTAA AAGTGTTTAATACCACACCTTTTGATATTTATATACATGCAAGATTCTAGATTATTCATC AATAGGTCGTTTAAAGCGCGTTTTCATAAACGTTGTCAGCTATACCGACATTCTCACAAA GAGGTAAAGTTACCTTACGTTATTATTAAATAAAACATGTAGACATTATTAATAATCCTA GGAACAATCAAATCCATATTTGTAAGTTATGTTTAACCCCTCCCCTTTTTGTCATTATCT CCGCCCTCTTATAATCGGATCACTTTATAAGTGTGTCGGTGAGTATATTTTGTACAGTTG TTGGACAACAGGTTTTTGGTTCATTAACACTATCAACATAAGTCGGGGTATACAAGTATA ATGAACGACGTTGATGCAACAGACACCTTTGTTGGACAAGGAAAGTTCCGTGGCGCCATC TCAACATCACCGTCACATATTATGCAAACATGTGGGTTTATACAACAGATGTTTCCAGTT GAAATGTCGCCCGGCATAGAATCTGAGGATGATCCCAATTATGACGTTAACATGGATATA CAGTCTTTTAATATATTTGATGGTGTCCACGAAACTGAAGCCGAAGCCTCTGTGGCATTG TGTGCAGAAGCACGCGTTGGAATTAATAAAGCGGGATTTGTAATATTAAAAACGTTTACA CCAGGGGCGGAAGGTTTTGCGTTTGCGTGTATGGACAGTAAAACATGTGAACATGTGGTC ATTAAAGCGGGTCAACGTCAAGGAACGGCCACCGAGGCAACCGTGTTAAGAGCGTTAACC CACCCATCCGTTATACAGCTTAAAGGAACGTTTACGTATAACAAAATGACATGTCTTATA TTACCACGTTACCGAACAGATTTATACTGCTATCTAGCTGCAAAGCGCAACCTCCCCATA TGTGACATTTTAGCAATTCAGCGATCTGTATTACGCGCGTTACAGTATCTTCATAATAAC AGTATTATTCACCGTGATATAAAATCTGAAAATATATTTATTAACCACCCAGGTGATGTT TGTGTGGGAGACTTTGGAGCAGCGTGTTTCCCCGTGGATATTAATGCCAACAGGTATTAT GGCTGGGCTGGAACAATCGCCACAAACTCTCCTGAGTTATTGGCTAGAGATCCATATGGA CCTGCCGTGGACATATGGAGTGCCGGGATTGTATTATTTGAAATGGCTACAGGACAGAAC TCGTTATTTGAACGAGACGGTTTAGATGGCAATTGTGACAGTGAGCGTCAAATTAAACTT ATTATACGACGATCTGGAACTCATCCCAATGAATTTCCCATTAACCCTACATCAAATCTT CGTCGACAATACATTGGTTTGGCAAAACGGTCTTCTCGAAAACCCGGATCCAGGCCATTG TGGACAAATCTATATGAGTTGCCAATTGATTTGGAGTATTTGATATGTAAGATGTTATCG TTTGACGCACGTCATCGACCATCGGCAGAGGTGTTGCTTAACCACTCTGTTTTCCAAACT CTTCCCGATCCATATCCAAATCCAATGGAAGTTGGAGATTAAAATTCATTAAGCCTGTTA ATAAAATATTGTATAAATTGTGTTTATAACGTATAACCCGTTAAGGCAAATAGGGTACAA ACGCGCAATGTTTTGAAATACTAATATAAATAACATAACCAATAGAAACTTAATACAGAG TCACGCCCCATTACAACAAGGATAAAACACGGGATCATTTTCTTAACATTGTAGTAGCGC TGAAAAGCGTCCCCTCCCCCGGCTCACAGAGCTGCTCTTCGGTGTAGTTGGGTATACTGG TGCGCCTCATTTAATCGCGATGTTTTTAATCCAATGTTTGATATCGGCCGTTATATTTTA CATACAAGTGACCAACGCTTTGATCTTCAAGGGCGACCACGTGAGCTTGCAAGTTAACAG CAGTCTCACGTCTATCCTTATTCCCATGCAAAATGATAATTATACAGAGATAAAAGGACA GCTTGTCTTTATTGGAGAGCAACTACCTACCGGGACAAACTATAGCGGAACACTGGAACT GTTATACGCGGATACGGTGGCGTTTTGTTTCCGGTCAGTACAAGTAATAAGATACGACGG ATGTCCCCGGATTAGAACGAGCGCTTTTATTTCGTGTAGGTACAAACATTCGTGGCATTA TGGTAACTCAACGGATCGGATATCAACAGAGCCGGATGCTGGTGTAATGTTGAAAATTAC CAAACCGGGAATAAATGATGCTGGTGTGTATGTACTTCTTGTTCGGTTAGACCATAGCAG ATCCACCGATGGTTTTATTCTTGGTGTAAATGTATATACAGCGGGCTCGCATCACAACAT TCACGGGGTTATCTACACTTCTCCGTCTCTACAGAATGGATATTCTACAAGAGCCCTTTT TCAACAAGCTCGTTTGTGTGATTTACCCGCGACACCCAAAGGGTCCGGTACCTCCCTGTT TCAACATATGCTTGATCTTCGTGCCGGTAAATCGTTAGAGGATAACCCTTGGTTACATGA GGACGTTGTTACGACAGAAACTAAGTCCGTTGTTAAGGAGGGGATAGAAAATCACGTATA TCCAACGGATATGTCCACGTTACCCGAAAAGTCCCTTAATGATCCTCCAGAAAATCTACT TATAATTATTCCTATAGTAGCGTCTGTCATGATCCTCACCGCCATGGTTATTGTTATTGT AATAAGCGTTAAGCGACGTAGAATTAAAAAACATCCAATTTATCGCCCAAATACAAAAAC AAGAAGGGGCATACAAAATGCGACACCAGAATCCGATGTGATGTTGGAGGCCGCCATTGC ACAACTAGCAACGATTCGCGAAGAATCCCCCCCACATTCCGTTGTAAACCCGTTTGTTAA ATAGAACTAATTATCCCGGATTTTATATTAAATAAACTATATGCGTTTTATTTAGCGTTT TGATTACGCGTTGTGATATGAGGGGAAGGATTAAGAATCTCCTAACTATAAGTTAACACG CCCACATTTGGGCGGGGATGTTTTATGAAGCCTTAAAGGCCGAGCTGGTATACACGAGAG CAGTCCATGGTTTTAGACCTCGGGCGAATTGCGTGGTTTTAAGTGACTATATTCCGAGGG TCGCCTGTAATATGGGGACAGTTAATAAACCTGTGGTGGGGGTATTGATGGGGTTCGGAA TTATCACGGGAACGTTGCGTATAACGAATCCGGTCAGAGCATCCGTCTTGCGATACGATG ATTTTCACATCGATGAAGACAAACTGGATACAAACTCCGTATATGAGCCTTACTACCATT CAGATCATGCGGAGTCTTCATGGGTAAATCGGGGAGAGTCTTCGCGAAAAGCGTACGATC ATAACTCACCTTATATATGGCCACGTAATGATTATGATGGATTTTTAGAGAACGCACACG AACACCATGGGGTGTATAATCAGGGCCGTGGTATCGATAGCGGGGAACGGTTAATGCAAC CCACACAAATGTCTGCACAGGAGGATCTTGGGGACGATACGGGCATCCACGTTATCCCTA CGTTAAACGGCGATGACAGACATAAAATTGTAAATGTGGACCAACGTCAATACGGTGACG TGTTTAAAGGAGATCTTAATCCAAAACCCCAAGGCCAAAGACTCATTGAGGTGTCAGTGG AAGAAAATCACCCGTTTACTTTACGCGCACCGATTCAGCGGATTTATGGAGTCCGGTACA CCGAGACTTGGAGCTTTTTGCCGTCATTAACCTGTACGGGAGACGCAGCGCCCGCCATCC AGCATATATGCTTAAAACATACAACATGCTTTCAAGACGTGGTGGTGGATGTGGATTGCG CGGAAAATACTAAAGAGGATCAGTTGGCCGAAATCAGTTACCGTTTTCAAGGTAAGAAGG AAGCGGACCAACCGTGGATTGTTGTAAACACGAGCACACTGTTTGATGAACTCGAATTAG ACCCCCCCGAGATTGAACCGGGTGTCTTGAAAGTACTTCGGACAGAAAAACAATACTTGG GTGTGTACATTTGGAACATGCGCGGCTCCGATGGTACGTCTACCTACGCCACGTTTTTGG TCACCTGGAAAGGGGATGAAAAAACAAGAAACCCTACGCCCGCAGTAACTCCTCAACCAA GAGGGGCTGAGTTTCATATGTGGAATTACCACTCGCATGTATTTTCAGTTGGGGATACGT TTAGCTTGGCAATGCATCTTCAGTATAAGATACATGAAGCGCCATTTGATTTGCTGTTAG AGTGGTTGTATGTCCCCATCGATCCTACATGTCAACCAATGCGGTTATATTCTACGTGTT TGTATCATCCCAACGCACCCCAATGCCTCTCTCATATGAATTCCGGTTGTACATTTACCT CGCCACATTTAGCCCAGCGTGTTGCAAGCACAGTGTATCAAAATTGTGAACATGCAGATA ACTACACCGCATATTGTCTGGGAATATCTCATATGGAGCCTAGCTTTGGTCTAATCTTAC ACGACGGGGGCACCACGTTAAAGTTTGTAGATACACCCGAGAGTTTGTCGGGATTATACG TTTTTGTGGTGTATTTTAACGGGCATGTTGAAGCCGTAGCATACACTGTTGTATCCACAG TAGATCATTTTGTAAACGCAATTGAAGAGCGTGGATTTCCGCCAACGGCCGGTCAGCCAC CGGCGACTACTAAACCCAAGGAAATTACCCCCGTAAACCCCGGAACGTCACCACTTCTAC GATATGCCGCATGGACCGGAGGGCTTGCAGCAGTAGTACTTTTATGTCTCGTAATATTTT TAATCTGTACGGCTAAACGAATGAGGGTTAAAGCCTATAGGGTAGACAAGTCCCCGTATA ACCAAAGCATGTATTACGCTGGCCTTCCAGTGGACGATTTCGAGGACTCGGAATCTACGG ATACGGAAGAAGAGTTTGGTAACGCGATTGGAGGGAGTCACGGGGGTTCGAGTTACACGG TGTATATAGATAAGACCCGGTGATCACCGAACCGGGGCAACGTCGAGCGTGTAAATTTAA ATAAAAAACAGTACGCTTTTATCCGGTGTATGTTTTAAATTTATTTTTTTTTTCTATATA AAGGGATGGGGTGTCAGGATCTCTCGTAGGTTCTTGGGACTCCAAGGGACCCGCAGCCCA GGTACGCGTCAAAAAGCCTGTGACAAATTCCCCCGGGGCGGTCATATAATTCGGCGCGGA TGCATTTATTATCGGGCGACAATCCAATAGTCGGAAGTCCGGCGTGTCCCAAACAGCACC AATATGCCATCAATATCAGCCGCTCGCTGAGCTCCAGATGCGATTGTGGATCCGGCATGC ATTGCTCGCGTAATAACGATAACACCGCTCTGCGGATCGGCGGAACCGAGGGTGGACGTT GTCTATCCGCTGCGAGCTCCCCGCACATCCGTCCGAAGGCGTCCTTTGCCCTCCCCCACA AACTCGCGCACGGTCTCTCGGAGGGGCTGTGTATAAAAGCCTCGTAGGCCTCGGTAGATA TGGCGCATAGCGCGGCGGCGAAGTACCGTTCGGCGTCGTTCATGAGAGCCTGGTGCGCGG GGGTATCGTGTCGTGTGCAGTAAAGTCCGGCATATTCACCGCCCGGGTGCTCACCGCGGG ATCCGCAGAGATTCATACCACACGGCCCGTGTGGGGACCCCGTGGGTTAATGGAGACGTT CAAACCAGCACCCTCTACCCTCTAATATCCACAACACCCCACTCCCCCACAGACAGACAT CAAAAAAAGACACGAGCCAAACCATTGTATTTATTTATAAAGACTACACGCCATGGGGGG GCGGTATATCATGCCGGCGCGGGGCTTCGTGTCGACGTCGCTTCCAATCTACACCCCCCT CGCCCAACGCGGTGAGCGCTTTCGCGGCTGTATATTCCGCGGTTTCTGCACCCGCGTATC GCTCGATGGCACGCTGGGGTCTCTTTGGGGACGGGGTGTTGCACCCATCCCCGTCTCGAT AACAATCGCCGGGTACCCCGTCTGGTTCACAAGAATCGGTGCTCTCCTCTGATTCTTCTT CCACTATAAAGTCTTCCCCGTCCGATGATTCCGCGTCGGAATCCCGAAATTCAATTACAT CCGATGGCGTAGACCCATCATCGTCGCTATCGTCTTCACCACCATCATCAGATACGTCAC ATTCCAGTGCGCTCCTATGCAAAGGAACATTCGGCGCCTCAATGAACCCGTCTTCCCCCC GAGGGGGTCGATGGGACACTTCCATTAAAGTAGCGCGTAAGCACTGCGTCTGGGTGGGTT GAAGCTGTAACAATTCCTCCCAGCACGCTAACGTGGGACGCTGTCTGGTGCGACCCATTA GATAAAAGTCGAGGCATATGCGCCGCAATCTTCGTGAATCTCGCGTGACGCGTCCCGACG ACTGTGCAATACATAAAAAAACACGGTTGATGTCCTCAACGAGCCTGGCCGGGTGGATCT CCCAACCCGGAGTACAAAACGCGCCGGGGCCCCGCGACGTATCCCGGCCGTTCAGGGGTC CTGGTGCAGATCCATATTCCATCTTTCCGTTAACATCAACCGATGCCCCGGGTTTTGACT CGGACGAGTCGCCCCGCGTAGCCGGTGAGGTGCAAAACATGTCCTTGGGGCCGTAGTAAC CTTTTCCCTTAAAACCGACTCGACGCTGTCGCGTTATGAATCGGACGAACCCTGCACAAC AAAACACACACCCAAACGTTTACATCTATGAATAAGGCTACTTGGGTAAAATGGCAATGG GGGATTCCGGGGCGGGAGACCTTCGATTGGGTTGCCTTTATAACACCAAAAAAAGGGGGG GGCCCCGTGTGTTTTTTTTTATCACGTCAAATCGATTTTAAAAAGCCTGCCGCTCCATTT GGAATATATATATTCTGTGAAAAGCCCGCCCACACCCCATAAAACCGCGACATCGCGGGA ACACGCGCGAACAAGAAACTCTCTCTCTTTCTCTATATATATATATATATATATATATAT ATATAGAAAGAAAGTGCGAACGGTGGTTGGACACATGCCAAAACATGAAAACCCATACAG TGAAAAAACGGGAAGTGCGAATGCAGATCAAAAGAGTGTATCCGATTGGCGTACACCACA GACATGCGGACGCCCAATTTAACCCCCCCCCTTTTTCACCCCCCCACCCCACCCCATTCC ACCCCAGGAAGTGCGAACGGGTTTACATGCCTCAGATATGAAGTTCTTCGACTTGTTTTT GAATAAATTTTTTTGTGATTTTCTACAACGGTTTAGAGAATTATGGTTATAAACATCGGC GGGGTACCGCGCCCCCTCCCCATCGGCGGGGTACCGCGCCCCCTCCCCATCGGCGGGGTA CCGCGCCCCCTCCCCATCGGCGGGGTACCGCGCCCCCTCCCCATCGGCGGGGTACCGCGC CCCCTCCCCATCGGCGGGGGGTTACGTGAACACCACAACCCCGTGTGTATTTTATGGGTT ATCGCGGGCTTCGTGCCGCCTGACATAATCGTTGGGAGGGGTGGTGGTGTATACGCTTGT TGATTGCGCGAACGTAATGACGACGGAGAGGGACCCAAACACACCGTCGACGTGCATTTG ATTAACTAGATGCCGGATGGGTGGAAACAACCCGTGTTATATAAGATGTTTTGCATGTGA GACAACCCCAATTGTGTTTATGTATATTATATATCGTCTGTAGACACACGATGATTGGTT GTTATTTAAACATATGTAAATGAAATTCACATGTCTGGTATCCCTTGTTATGATGTTGTA AGGTATGCGGAAATAGACACCGGGCGTACATCGCCAACCAGCGGTCTCTCCTTAAACGCA TACTATGGTCCATGAACTTCCCGCCTCGAGTCTCGTCCAATCACTACATCGTCTTATCAT TAAGAATATTTACACGGTGACGACACGGGGAGGAAATATGCGGTCGAGGGGGGGGCACAA CACGTTTTAAGTACTGTTGGAACTCCCTCACCAACCGCAATCGCAATCCTTTGAAGGCTG CGAGAGCGTTTGGAAAACTCGGGTACGTCTAAATTCACCCCAGTGCGATGGATACGCCGC CGATGCAGCGCTCTACACCCCAACGCGCGGGGTCGCCTGATACTTTGGAGTTAATGGACC TGTTGGACGCGGCCGCGGCGGCCGCCGAACACAGGGCCCGGGTGGTCACCTCGAGTCAGC CTGACGATCTACTATTTGGAGAGAACGGGGTCATGGTGGGACGGGAACACGAGATCGTTT CAATTCCCTCCGTATCGGGACTTCAACCAGAACCCAGAACGGAAGATGTTGGCGAAGAGC TAACACAAGACGACTACGTATGCGAGGACGGTCAGGATCTAATGGGCTCGCCTGTAATCC CGCTGGCCGAGGTCTTCCACACCCGATTCTCGGAGGCCGGCGCGCGAGAACCAACAGGAG CCGATCGCTCCCTTGAGACAGTCTCTCTCGGAACGAAGCTTGCTAGGTCTCCAAAACCAC CGATGAACGATGGGGAAACGGGCAGAGGTACGACCCCTCCGTTCCCGCAGGCCTTCTCCC CTGTATCCCCCGCGTCTCCTGTTGGAGACGCCGCCGGGAACGATCAACGGGAAGACCAGC GGTCTATACCCCGACAAACGACGAGAGGAAATTCACCAGGTTTGCCGTCGGTGGTCCATC GAGACAGACAAACTCAGTCCATCTCGGGTAAAAAGCCGGGCGATGAGCAAGCGGGTCATG CGCATGCATCGGGGGACGGAGTAGTTCTCCAGAAAACTCAACGGCCCGCTCAGGGAAAGA GCCCGAAGAAAAAGACTTTGAAGGTTAAGGTCCCACTCCCGGCGCGGAAACCCGGTGGAC CTGTACCCGGCCCGGTTGAGCAATTGTACCACGTCCTTTCGGACAGCGTTCCCGCTAAGG GGGCAAAGGCGGACCTGCCGTTTGAGACCGATGATACCCGCCCAAGGAAACATGATGCCC GGGGTATAACACCTCGCGTCCCTGGACGTTCGTCGGGGGGCAAACCTAGAGCGTTTTTGG CCCTGCCGGGAAGATCCCACGCACCAGACCCGATTGAGGATGACAGCCCAGTGGAGAAAA AGCCAAAGAGTCGTGAGTTTGTTTCGTCTTCATCCTCTTCCTCGTCGTGGGGATCGTCAT CGGAGGATGAAGACGATGAACCCCGGCGCGTTTCGGTGGGAAGTGAAACTACAGGCAGCA GGTCCGGACGCGAACACGCCCCTTCCCCGTCAAATTCGGATGATTCGGACTCAAATGATG GTGGGTCGACGAAACAAAATATCCAACCGGGATATCGATCCATCAGCGGTCCCGATCCGA GGATTCGTAAGACCAAACGTCTTGCGGGGGAACCGGGGCGCCAGAGACAGAAATCATTTT CCCTGCCGCGATCCAGAACCCCGATAATTCCCCCGGTGTCGGGGCCGCTCATGATGCCCG ACGGAAGCCCTTGGCCCGGATCGGCACCCCTCCCATCCAACAGGGTGCGGTTTGGACCGT CCGGGGAGACCAGAGAGGGTCACTGGGAGGATGAGGCTGTGAGAGCGGCGCGGGCTCGTT ACGAGGCCTCAACGGAACCCGTGCCGCTTTACGTGCCGGAGTTGGGAGATCCGGCTAGAC AGTACCGCGCGCTGATTAACCTGATCTACTGTCCAGACAGAGACCCTATAGCATGGCTCC AGAACCCCAAGCTGACCGGTGTCAACTCGGCCCTGAACCAGTTCTACCAAAAGCTGTTGA CACCGGGACGGGCGGGTACCGCCGTTACGGGGAGCGTAGCGTCTCCCGTTCCGCATGTAG GCGAAGCCATGGCCACGGGGGAGGCCCTCTGGGCTCTCCCCCACGCGGCCGCGGCCGTGG CTATGAGCCGTCGGTACGACCGGGCCCAAAAACACTTTATCCTACAGAGTCTCCGCAGAG CCTTTGCCAGCATGGCATACCCCGAGGCAACGGGCTCCAGTCCGGCGGCGCGGATCTCCC GCGGTCACCCTTCTCCAACAACCCCGGCCACACAGACTCCCGACCCTCAGCCGTCGGCCG CCGCACGCTCTCTTTCTGTGTGTCCACCGGATGATCGTTTACGAACTCCGCGCAAGCGCA AGTCCCAGCCAGTCGAGAGCAGAAGCCTCCTCGACAAGATTAGGGAGACACCCGTCGCGG ACGCCCGGGTTGCAGACGATCATGTGGTTTCCAAGGCCAAGAGGCGGGTATCCGAGCCCG TGACCATCACCTCGGGCCCTGTGGTGGATCCCCCCGCCGTAATAACGATGCCACTTGACG GACCGGCCCCAAACGGGGGATTTCGGCGTATTCCCCGGGGGGCCCTGCATACCCCGGTCC CGTCGGACCAGGCTCGCAAGGCGTACTGTACCCCCGAAACCATCGCCCGTCTGGTCGACG ACCCATTGTTTCCCACGGCCTGGCGCCCTGCGCTAAGCTTTGATCCCGGCGCCTTGGCGG AAATCGCCGCTCGGCGTCCGGGCGGAGGAGACCGACGGTTTGGTCCACCCAGCGGAGTGG AGGCGCTGCGACGGAGGTGCGCCTGGATGCGGCAGATCCCAGACCCGGAGGATGTGAGGC TTCTGATCATCTACGATCCGTTGCCCGGAGAAGACATCAACGGCCCCCTCGAGAGCACCC TCGCGACAGATCCGGGACCGTCATGGAGTCCATCCCGAGGGGGACTGTCTGTGGTCCTGG CAGCCCTGAGTAACCGGTTGTGCCTGCCGAGCACTCATGCCTGGGCCGGGAACTGGACCG GCCCGCCGGACGTGTCCGCTTTGAACGCCCGGGGCGTTTTATTACTGTCGACCCGAGACC TGGCCTTTGCCGGGGCCGTCGAGTATCTAGGCTCGCGGTTGGCCTCTGCCCGGCGCCGGT TGCTGGTGTTGGACGCGGTGGCCCTCGAGAGGTGGCCCAGGGATGGACCCGCTTTGTCTC AGTATCACGTGTACGTCCGGGCCCCGGCGCGACCGGACGCCCAGGCCGTCGTCCGATGGC CAGACTCGGCGGTCACAGAAGGACTCGCCCGGGCCGTGTTTGCATCGTCGCGCACCTTTG GGCCAGCGAGTTTTGCTCGTATCGAGACTGCGTTTGCCAACCTGTACCCGGGCGAACAAC CCCTGTGTTTGTGCCGCGGTGGGAACGTCGCATACACCGTGTGTACCCGCGCGGGCCCCA AGACCCGCGTCCCCCTGTCGCCCCGTGAATACCGGCAGTACGTGCTGCCGGGTTTTGACG GTTGCAAGGACCTCGCGCGACAGTCTCGGGGTCTGGGGCTCGGGGCAGCCGACTTTGTGG ACGAGGCGGCACATAGCCACCGCGCAGCAAACCGATGGGGCCTGGGTGCCGCGCTTCGAC CCGTCTTCCTTCCCGAGGGACGGAGACCGGGGGCCGCCGGGCCGGAGGCCGGCGACGTAC CCACCTGGGCGAGGGTGTTTTGCCGCCACGCCCTGCTGGAACCCGACCCTGCCGCAGAAC CACTCGTGCTTCCACCCGTGGCCGGTCGGTCGGTGGCGCTGTATGCGTCGGCGGACGAGG CTCGGAATGCCCTCCCCCCGATTCCCAGAGTAATGTGGCCGCCCGGTTTTGGGGCCGCGG AGACGGTGTTGGAGGGGAGCGACGGAACACGGTTCGTGTTCGGACACCACGGGGGCTCGG AACGGCCGTCAGAAACCCAGGCGGGGCGACAGCGGCGCACCGCAGACGACAGAGAACACG CTTTGGAGCTGGACGATTGGGAGGTGGGGTGTGAAGACGCGTGGGACAGCGAGGAGGGGG GCGGGGACGACGGGGACGCACCGGGGTCATCCTTTGGGGTGAGCATCGTGTCGGTGGCCC CGGGTGTGCTGCGAGACCGCCGGGTGGGTTTGCGCCCGGCGGTCAAGGTGGAGCTGTTGT CCTCGTCCTCGTCCTCCGAGGACGAGGACGATGTGTGGGGAGGGCGCGGGGGGAGGAGCC CCCCGCAGAGTCGGGGGTGACGGAGTCCCCTCCTTTTCTCGTGAGCGCCACTGGCGCGCG GACTGTTTGTTGTTAATAAAAGCGGAACGGTTTTTATGAAAAAAGTGTCTGTCTGTCTGT GCGGGCGGGCGACGGGCGGGCTGGTCGGACCCCCCCCCGAAAATAACCCCCCCCCGGTTT CTGGGCGCCCGGCGGACCCCGGGAGAGG ================================================ FILE: tests/input/TestImputeFromReference/expected.hhv3.muscle.fasta ================================================ >HHV3-test-1 AGGCCAGCCCTCTCGCGGCCCCCTCGAGAGAGAAAAAAAAAAGCGACCCCACCTCCCCGC GCGTTTGCGGGGCGACCATCGGGGGGGATGGGATTTTTTGCCGGGAAACCCCCCCCCGCC AGCCTTTAACAAAACCCGCGCCTTTTGCGTCCACCCCTCGTTTACTGCTCGGATGGCGAC CGTGCACTACTCCCGCCGACCTGGGACCCCGCCGGTCACCCTCACGTCGTCCCCCAGCAT GGATGACGTTGCGACCCCCATCCCCTACCTACCCACATACGCCGAGGCCGTGGCAGACGC GCCCCCCCCTTACAGAAGCCGCGAGAGTCTGGTGTTCTCCCCGCCTCTTTTTCCTCACGT GGAGAACGGCACCACCCAACAGTCTTACGATTGCCTAGACTGCGCTTATGATGGAATCCA CAGACTTCAGCTGGCTTTTCTAAGAATTCGCAAATGCTGTGTACCGGCTTTTTTAATTCT TTTTGGTATTCTCACCCTTACTGCTGTCGTGGTCGCCATTGTTGCCGTTTTTCCCGAGGA ACCTCCCAACTCAACTACATGAAACTACTGTCCGGAAGGGGAAGGTATTTATTCTCGCTT GCAGCTTGTCGCGCGTGTATGCACAACAAAAGCTATATATGTCACCAAAGCCAACGTCGC CATCTGGAGTACTACACCCAGTACGTTGCATAACCTGTCCATTTGCATTTTCAGTTGCGC GGACGCCTTTCTCCGGGATCGTGGCCTTGGGACATCAACCAGTGGAATAAGAACCGCCGG TGGTCTTGCCCGAACGACGAGTGGCGACGCGTTGTTCTGCATAAGCTCTGTATGCTGATA CATAAACACAGAGTCTGTATCGCTATCAGATTCCCGAACACCTTCCGGTACCCCATACTC CGATACCCTGGACATTGCGGATCCCAAAAATATAATATTAACAGGATTTGCTTATACTTT GCTACAGCTTATATAAATTTATGTGCGATACATCTTAAGTGCATCCGTACGTTATTTATA CATTGCCGGTCACGTGAAAAGACTGTGTTACCCAATAAAGGTTCTACAAAAAATGCTTTA TTGGGTGTTTGTTTAATAGCTATTATCGTAACCCACCCCCGTAAAATCATAAAATGCATG TAATTTCTGAGACACTTGCATATGGGCATGTTCCCGCATTTATTATGGGCTCCACTCTGG TGCGTCCCAGTTTAAACGCCACCGCCGAGGAAAATCCCGCGTCAGAAACGCGATGTTTAT TACGAGTGCTTGCGGGGAGAACTGTAGACCTGCCAGGCGGAGGAACGTTACACATTACCT GTACCAAAACCTATGTAATTATTGGCAAATATAGCAAACCCGGCGAACGTCTTAGCCTTG CCCGTCTAATAGGGCGTGCAATGACGCCTGGAGGTGCAAGGACATTTATTATTTTGGCGA TGAAGGAAAAGCGATCCACAACGCTTGGGTATGAATGTGGTACGGGCTTGCATTTACTGG CTCCATCTATGGGTACATTTCTCCGCACACACGGTTTAAGTAACAGAGATCTCTGTTTAT GGCGGGGTAATATTTATGATATGCATATGCAACGTCTTATGTTTTGGGAGAATATCGCGC AAAATACCACTGAAACACCTTGTATAACGTCGACGTTAACATGCAACTTGACAGAAGACT CTGGTGAAGCCGCACTTACCACGTCAGACCGACCCACTCTCCCAACCCTAACAGCCCAAG GAAGACCAACAGTTTCCAACATTCGTGGAATATTGAAAGGATCCCCCCGTCAACAGCCGG TCTGTCACCGGGTTAGATTTGCCGAACCTACGGAGGGCGTATTGATGTAATCACTAAATA AAATACACCTTTTTTCGATTGTACGTATTTTTATTTAAATGTGTAGTTCATAGTCCGCCG ACAGCCGCTCGGGCTTTTCCCCCACATACAACATGATCGTATGCCTCGGATGCACCGGTC CAACACTCCGCCGAGAAGGGGGATTTACAATGACAGTGATACCCAATAGCCGCCAGATGT ACACCCAGCTGTCCGGACTCCAGCATCATCTGCTGAGTTGCGGCGCTGAAGGGTGCATCG CATAGGGTGTTATAATTAGCCATTTCCGGTAACAGTCGTTGGGAATTTAGGAGGCTGCAA AACGGCTGTAGGTCAACATACATTGGGGATTCAGATGGTTTATCTCGACGTCCAAGTCCA ATCAAAAAAGCGTGTAAATCATCAGCCCGGCCGCATGTTGCTCGAAGAGCACATAACCTC TTAACACCGTACAGAGGGGATGGCGTCGGTGCATGTGAGTTGGCAGGGCATGTCCACGTT GTTTCCAACGCCAGTGGCGGTATAACTTGTGTAAACGACGCCAACGGGTCAGGTTTAAGA TTCACTCGGATGGGTTGACTGCTTTCGGAAGCTCCCGTTGTATCCATTAATTAAACGTTC GGTACACGTCTGGTGTGTGTTTTACCCGAATCAGAGACGGAATTGCAAAGATATTGGTTT GAAAGCAATGTAATCCCGCCCATATATCCCCAACGTCGCCTTAAAAACTCCCACAATATT ACATTTTTATTAGTCTTTTATTAATATAGAATCACATAAACAATTGATAAAATCAAGGGG TGGTGTATAATGATTAAAAATATAAATTGATATGTTTTACAAGCATGAAATAGGTATTTA CTATTCTAACAGGTAAATATGCTTAATGATTAAAAATACAAATTAGTATGTTTTGACAAG CATGAAAAAGGTATTTTTTATTTTAGCAGTTAAAGGTACTACACTTAAAATATTTACCGT ATGGACGGGCGTCAGAAAGATGCCCGGCCCAAGTTGAGAGGGTACATTCAACACGACCAC ACTCGCGTTGGTGGGTGATTAGGGCCTCTAAAACACCGGCCAGACATGACCCGGGTGTAT ATTCTTGTAACACTTGAACGTTACAACTGATATCATCATATTCCACAAATTTAGAGCCAC GGACAACTATATTAGCAATGCGGGCAATCATAACAAACATATAAGTAGTAATACACGTGA TATCACTAAAACGTTGCTGGCGCAACAGTTCGGGGAGAGTACGAGACCCCAAATCGTTGT CCCTGTTTAGAAGAAGACATCTTACAAAAGGCCCCAGCTTTAACTTTAAATTCTCCAAAA GTGACTTCGAGGTTGCAACAATGGGATTATTTGTGTAGATGGGCAAGTTTTTTGCCGCTA ACATTTTAATCCACGTTAACAGTTCATCCGCAGACTCCAACGCTTCAATCAAAGATTCTC CACGTATGACTCTCTCACGCAACGCGCGGGCAATACGTGAGTCCATTTTATATGACTCAA AGGTACGATAAAGTTCATGTCCGTACAACATCAACTCCGGCCAAGATGTGTTTTGTTTTA TCCCCGGAAAACATCCACCGGAAGCCCATGAATCACCCTCTTGTATTGTGGCATATCGGA CTACCAGTTTTTCAATTGTTTCATCTAAATGGCGTACCGAGTCAATGGTCACGCTGGCTC CCGCGGTGGAGACGACTTCAATAGCACGGCCCGTAATTCGATCGACCGGGATATCATACT CTTTTCGAATACGCTCTCGGCGGGCGTCTCTCTTGGAAAATCGCAACCTGTACGATTCGT CATGTGTCTGATCATTTCTTTCTCCCGTGGTCATTGCAGGAGGCGTTGTAGGACGCCGTC TTCGATTTGACAGGGATCGATCACGGTGTTTTCTTGAACTTTGGGTGTTATAAGATCTGG ATGATCGTCGATGTCCCCGTTCGATGCGTGCATATCCAGTCTCCACGTCTCTTCCTCCAT GATGGTTTGAATCGGGTAATACAACAACCAAAGTTTTCGGGCGATTGTGGTGGTAGCTTT CACGCCTTCCGTGCCTTCGTTTGGAATACCGTGGATTATATGCTGTATCTGCAGTACGCT CCACATACACAGTTCTAGACGTTGTGGAGTCCTCGCCTGGAGTGGAGCCAATAGCTTCAT CATTTGCCCAATCGGTGACTTCCAATGCAAAGTCATCCGAAGGTTCGTCTGGTAGCAAAT TCATAAAGTCTTCACAAATAGTAGACACGTCTGGGTCGGTTGGAATTGAAGCAGAGGCCA TGGCTGCAAAATATCTGACAATTGCGTGTTTGCAGTTGCCTGTATCTTCCGCCAATGTTG TAGAATTTATAGGCTCACCCAACCCCGCAATGGGCGTGTTTAGTCACATGATTAATGTTT CTGGGAGTTTTCACTTTCCCCAAACAAGCTTACCTGCACCCTTTGTTCGTAATGCATAAA AATAACCACTGCTATAGCAAATATGACGATATAAAAACATTTTATAGCAAGGCCGGACAT TACTGTAGCACAACATGTTGTGCATATACCACGTATTCCCCCCGTATTGATATGATTTAA ATGATTATCCTTGGTTGGTTTTGGTCTAACATAAGATATAAGCTCTACTATAGCGAGCGT GCATACAACAACCCAGGCCAGAATCCGAATGTATGTGGGGTATAATAACGCGCATGGTGT ATATGCAACGCCAAGCGTTAAAAGCACAATACATCCAGATGATATATGAGCGATAACCTC CAAAAGCATCAATAACGTAACACCTTTATGCATATATAAAAAACTTATAGGGTCAGCATT AAATACTTTACTCATACCATCCCGTCGCATGGAAACATCACATAACAACCTTGCCAACTT TGTATATGGGTAACCAAGAAGAATGTTCGAAATAACCCGTGTTACGTAATTCAGTGAATA TGATGTGGGGGATATTAACTCACAGGATGATCGGAATGGCCCAAACATACGACGTATTCG TCGAAATTGTAAATACATACCATATACAAACCATGCAAAAAAAATCATTTTTAGCTGCAC GCACCAAAAATAAGCGTGACAATTACGTGTTCCCAGAACAATTCGAATTTTGTCATGCAA AGGTGTAGAAATAGCGGTTTTTACCATAGTATCTCCTGATAATAGATTTTCCCGGCAGCT GTAATCGTATCCAGATAGGCCATCCAAAAACGTTGAGTGGTTTACAAACGTTACATATAT AAGAGAGTTGTTATAAGACCCCCATACAACCGGTCCACCATTAATCACCGTGGTTGCATA CACACACTCATGTTCAAACTTTACACGAGCGGTATACCATAGGGTAAAAACAGCATGTCC GCTAAGTAGACACATAATTATAAAATGTTCTGTCTTGATTCCTAAAGCCTGCATGACCCG TGGAAGATGGCAATTCAAGCACGATGTAGTATCACACGGTTGGTGTTAACTCGAAGTTAA ATTTGGATAATTAGGTACTTCTAGAGTAAAGATTGTATGCATGCGATTGCTATCGCACTT TGTAGCAAAACATTGTTGTGCAAGCGAAATACACAAACGGTTGTGATGATCCACTCGCAG AGACACAAATGTCCGGGGAGCCGTTCTTCCTCCGCGATGGGGATATCGAAGACAAGTGAA CCCTTTTGTTCCGCATATGAGCTGAAATAACACCCAGTCCCTTTTGATGGCGATACACTT TGATGATGTTAAGGTATATTCGCGATCACGCCCGGGGAAATGAACAGCAATATGCTCCAC AATAGATTCTAATATTGTGCTGTCGACAAAGGCCTCCAGTGTAAATGCGTCCAGACAAGT TACCCCGCGCTCTTTTAGAGCCTTTGTTAAAGATATTTGCGGGGAGCTAAATATTTGTTT ATTACGCGCAACCTTACGTTCAAAAAACTCTGCGTATTCCCCCCCAAGGTTATGTAAAAT AAATTGCACTGGAACATTCGACTGCGGTCTTGAATGAAAATGAAAGTTTGCCGGGTTTCT ATGTGATGTCACAAACGCTAATATATCAATACACTGCTCAGGTACAACATAAAATGGGAG TAGTTGTCCAACCGCCGTCCCTGTGGTTGTTACTTTGGAGAAAAAAGGCAGTCTTAAACT ATGTCCGTGGCTATAAACACCAGTATCTATAAACGAAAAGTCCCGTAAATACGGACCAAT ATATTCAACAAATTCCCGTTCCAGCAACACCGCTTGTTGTAATATTTGTGCAAACCCCTT TAAAGTGGAAGACCCCACTAACGCATAGGGATTTGGGATTGGTACGCATACCCTGAAACC TATTTTCTCTTTACAGTTACAGGGTAGAGTTTCATGCAAGTTTTCATTGTTTGATACATC GGCGTGTGTATGGACTTCAGACGTTGTCTGTGTATCAAAAAACCATACATCCTCTGTATA ATTCTCTTCTACACACGTGTATAATTCGCCATTTTCTATGTAAAAATCGATGTCAGAATG GCTGGTTATATCCAATAAATTATCATCATCCAACACCTCAACGGTAGGTTCAGGACATGC AGTTTTATAAAAATAACATGGGTCTTTGTTAGGGTTTACCACGGCCTTTGGAAAAAGTAA TTGCATGGCCGTTAAAATACCATGACGAAATGCTCGCATGCCGGCATGTAAAATACCCAA TGGGATGGGTTTTCTTATATGAAAGTCTACATCAAGTATGAGGTTTGTGATTATAAGATT TGTATTAAATAGCTCATTCCTGTTTATATAAAGCTGATCTTTGGGTATGTTAGATGAAAT TTTAGAAACGTTTTTAACAGACGTAGATAATAGTAAAGTCAACTGCATATCTCGTAGTGA AGCGGCAACAAAATTACATGGATTAATTTGTTTAAGGTCCTCCGCAATTAATCGAGCCTC GTGCGGTAAAGTGTAACGGTTTGTTATTGATGACCACGTATCATTAGCAATAACAGCAAA TGCTTGGGCACCTTGAGGCAAGGCTACCCGATATACAGGCATTGGTCCAGTTACCTCAGA ATGGCCGATGAGGGCTTCTAATGGAGTTTTATAACTCAGGATGGATACATCATGTGTGGC TATCCCAGTGGCAGCAGAGAAAAACAATTTAATCCATATGGATTACGACCACTTTGGTTA GGTGTATCGTTTGCAAAGTTGGCTGCTCGTAACGCCTCCGCGGAAACAACCGAATCCTCA AAATTAGACAATTCGTCAAAACCGGGTGGATTTGAGGGAATAGTGGAGGACCATCCATAT GGACTAAATTGTTTTTCAATGTTTTCCACACGACGAGTTAGCGTTGTAGCTAGGTCACAT ACGCCTATAAACTTGCTAGGTTTTGCGGCATACGTAAGACTTAAAGTATATGTTTTAGTA ATTGTATATTTATGTCCAATCTCAGGTCCAAGTTCAGTGACATCACAAATTACGTTCTTT TTTATATAGTCACGCATGTTGAGACGAGAACGTACATGATTAAAAAAATTAGCAGTAGCT CTTTTTCCCAGGTTGGATGATTTTAAGAGGACCGGTTTATTCACAAAATCTGAGTATGTA ACCGCTTGTAGGTGGTCTGCGATCTGTTTCCGATTGAAACATTCAAAATGTGCCAGATAA ATATAATCAACAAATTCACGGTCTGGAACTTTAAGGCCTTTTCTATCGTTGGTAATATAC TCCGATACTGCGTGTATTTCCGTTGTGTCTGTATGTATTCGCTGTAAAATGTACGATAGA GCATTTTTGGCTGTCAAACCTCGTGTATATGTTGAGGAACAACAAAACATGGAAAGTTTA TCAAAAGACAACAAGTCCGAAATATTGTACCCACTACAATTAGGTAATGCCGGGACTTGG TTGCCTGTAAGTCATATAAGGGGGTTTCCAACGTATTGTAACTTGTGTCCGTTTGTAACA AGTAATAGCGTGTAGCCAACACTAGCGTTTTTTCAGAGGGTCCAAATCGAACAATATACC AAAACGGCGAGCATCCATACCCCCAGTAGAGTCGTCGATATGCAGCCAATACTTGACGTT CGTAATGGGCATATAATGATGTTAGCTCCTGACGACCAACGGATTTTTTAACTAACTTGC AGAGTGTTGCCTCTGTGATGCATAGGCCGTTGTCCGATAATCCCTTTCGGTTTAAATGGT GTGTTGTTACCATCAGAGTTTGTATAACTTCCGAGTGAATGTCAAACGTCTCCGATATAC ATAGGGTATCAGATATTATATGCGGATTTAGGGGTGCTCCATACCATAACGCCTTATATA AAGCTTTAAAATCAGTTTGGGTTTTAAAACAACAAAAAAATATAGGCCAGACCCGGGATC GTACATCTCCAGTTGAAAATCCACCAATTAAATAAAAAATAACGTTGACGTCCCTACTAC AAAATAAATGCATTATTTGGTTTTCTTCATCGTTTTCAGTTACTTCACGTGGGCGTTTAG TTGGGATTACTTGCGTGATCTCTTCCCTCCCAAGTCGGGAGTCCAAGTATAACTCACCAC ATACAGAGGTTCTGTGCTTATCTGCCCGGTAAGCAACAACAGCGAGTGGGAGATTGCACA TCCCTTTGTGGCAAATAATAACCGAATCGTCGGTTTGGAGGATTTATCCATAGTTCAATA CGTTGGAAAGCCAGTCAATCATGCAGACGGTGTGTGCCAGCTTATGTGGATATGCTCGAA TACCAACTGAAGAGCCATCTTATGAAGAGGTGCGTGTAAACACGCACCCCCAAGGAGCCG CCCTGCTCCGCCTCCAAGAGGCTTTAACCGCTGTGAATGGATTATTGCCTGCACCTCTAA CGTTAGAAGACGTAGTCGCTTCTGCAGATAATACCCGTCGTTTGGTCCGCGCCCAGGCTT TGGCGCGAACTTACGCTGCATGTTCTCGTAACATTGAATGTTTAAAACAGCACCATTTTA CTGAAGATAACCCCGGTCTTAACGCCGTGGTCCGTTCACACATGGAAAACTCAAAACGGC TTGCTGATATGTGTTTAGCTGCAATTACCCATTTGTATTTATCGGTTGGCGCGGTGGATG TTACTACGGATGATATTGTCGATCAAACCCTGAGAATGACCGCTGAAAGTGAAGTGGTCA TGTCTGATGTTGTTCTTTTGGAAAAAACTCTTGGGGTCGTTGCTAAACCTCAGGCATCGT TTGATGTTTCCCACAACCATGAATTATCTATAGCTAAAGGGGAAAATGTGGGTTTAAAAA CATCACCTATTAAATCGGAGGCGACACAATTATCTGAAATTAAACCCCCACTTATAGAAG TATCGGATAATAACACATCTAACCTAACAATCTTCAGCCCGTGTTGACCCCAAAACAGAC GCAAGATGTACAACGCACAACCCCCGCGATCAAGAAATCCCATGTTATGCTTGTATAAAT ATTGAAATAAAAACTAAAAACGTTTCTGGTGTATGTTTTTATTTTGTATATAAAATTAAA ACATTGCTGGCTGGCGTGGTTATTACATTTAATGTTTTAGTAGAAAATCGACATCGTTTG TTTCTTTATCAGTTGAACCAAATCCACGCGTTCCCCGTTCGCTGGGTGTGGCTATTAGAT CTAACGTTTTAGTAAAATACCATTGTACACCCGGTATGCCACATTTACCGCGGATAGCAT AAGGAAATGCAATATTACTTAAAACGTTGTGTTTTAAGTGTATTTGGGTGTTGTGATCTA TTAACAGGACCTGTGCAAGACGATCTCCCGTTTTTATACGTATGTCATCACCCGTGAGAT TATATACGTAGAATTTACAGTGTTCTCCTGCAGGCCATGCCGTTGGACACACGATAATGC CTGATCGGCTTTTCGATGATCTTCCAAAAATATAAGCGTTTATACTCGGATGTTGTAAGT CCCAGTCTCTTATAATCGGTAAGACAATTTTTATAAATTCATTCCTTTTTAAATATAGGT TATATGGTACACAAATATCATATCCCGCGTCTTCTTGGCGTTTTGGATTGATGATATGTT TGTAGGTTAAGGGAACATCGATATGGTATTCTGCAGAATCCCTATGTAAAGGTTGCCCCT GCTGTACCGTGGAAATATCAGCAAATTCAGGTATAACGGGTTTTTCATAATTTGACGGCG AGTTTGATAAGGGTTGAACTTGTATCGATTTAAAAATTGGATCCAGATGTTTAAGAACGT TTTTTGGGAGAAGGCGACTTTGTCTTAATTTTACCGGGAACAAGTAGATTGTTAAATGTC CGGGTAAAATAACGGTTACTCCTGGCCGGTAATACAAAAGGGCTGAAATTACTCCTCTGT AACCCGCATCAATAACTCCGTTGGCGACAAAAAAATTGTCTTCATCAGCAAGGGCAGTAT CTTTGCATTGAATTAACAACAGTGCGTATTCATTGGGAGGCGCCGACTTAACCAACAGCT CCAACTGCTGCATATAAAAACCGCCCCGTGTTACAGATTTTTCAGATGGCAGTTCGAGTT TCTTGTGGTTCCGGAGTAACAACGGTTGATGTCGACTTACTTTATCGTCTAACACGCATT GCAGCGTATCTGCACATTCAGGTTGAACTTCTATTAAAATTGTATCTTTTAAACACCGAT TCGGAATAGTTTGGCTACAAAACATATCACCTGTATTTACTGCCGTTTCCAAGATGGGAT CAATTACCGCTTCGTTCATATTAATAACGATGCAAATTTTATTTTTTTGTGAAGACAGCA GTGGGGAGCCAAACTTTGCAGAACGGAATTTTTGGCATGCCAGCTGTTCGGCTCGTGGAG TTTATATCGACGGATCAATGATCACCACCCTTTTCTTCTACGCATCCCTGTTGGGGGTGT GTGTAGCCCTTATTTCGTTAGCTTATCATGCGTGTTTCCGGTTATTTACTCGTTCTGTAT TACGCAGCACGTGGTAAACCCGTTTGCCTATAAAAGGGGCAGGCGTGTATAAGAGGGTCC CTGTTTAATACGCGGTCTGCCGTGTTTGGATATTTCACGACCCTATCGTTTATTTACGTA ATGGCATCTTCCGACGGTGACAGACTTTGTCGCTCTAATGCAGTGCGTCGTAAAACAACG CCTAGTTATTCCGGACAATATCGAACCGCGCGGCGAAGTGTGGTCGTAGGACCCCCCGAT GATTCAGACGACTCGTTGGGTTACATTACCACAGTTGGGGCCGATTCTCCTTCTCCAGTG TACGCGGATCTTTATTTTGAACATAAAAATACGACCCCTCGCGTACATCAACCAAACGAC TCCAGCGGATCGGAAGATGACTTTGAAGACATCGATGAAGTAGTGGCCGCCTTTCGGGAG GCCCGTTTGAGACATGAACTGGTTGAAGATGCTGTATATGAAAACCCGCTAAGTGTAGAA AAACCATCTAGATCTTTTACTAAAAATGCGGCGGTTAAACCTAAATTAGAGGATTCACCG AAGCGAGCTCCCCCGGGAGCGGGCGCAATTGCCAGCGGGAGACCAATTTCCTTCAGCACT GCACCAAAAACCGCAACAAGCTCGTGGTGCGGTCCTACGCCATCATATAACAAACGCGTC TTTTGTGAAGCGGTCCGGCGCGTAGCCGCCATGCAGGCACAAAAGGCTGCCGAAGCGGCT TGGAATAGTAATCCCCCAAGGAATAACGCCGAATTAGACCGTTTGTTAACCGGAGCCGTT ATTCGTATTACGGTGCATGAGGGTTTAAATTTAATACAAGCCGCTAATGAAGCAGAACTA GGTGAAGGAGCATCGGTATCCAAACGTGGACATAATCGAAAAACTGGAGATTTACAGGGG GGCATGGGTAATGAACCTATGTACGCACAAGTTCGTAAGCCAAAAAGTCGAACGGATACA CAAACGACTGGGCGTATAACTAATCGAAGTAGGGCCCGTTCGGCATCAAGAACTGATGCG CGAAAATAGGGATATAATTACGCAGTAACGGTTTACCCGGTATTATGTATAATAAATAAA CGTATAAAAGACAGTCGTGGTTTGTGTTTATTATAAATGTGTATTATATGTCACATATTA TAAACTGTTTAAATAGTACCACGTGGTATTATGAACAGTTTATAATCAGTTGCTACCAAA CAAACCCCATTAGACGGCGGGTTTTGATAAAGGGAATCGCTTATTTAAACTAAAGATTTT ACTCTATAAGTATGGAGTGTAATTTAGGAACCGAACATCATAGTACAGATACGTGGAATC GTAGTAAAACGGAACAAGCGGTTGTGGACGCATTTGATGAATCGTTGTTTGGTGATGTAG CATCGGATATTGGATCCGAAACGTCGTTATATTCACATGCAGTTAAAACTGCTCCGTCTC CGCCTTGGGTAGCTAGCCCTAAAATTTTATATCAACAGTTAATACGGGATCTTGATTTTT CAGAAGGGCCGCGTTTACTATCATGTCTTGAAACCTGGAACGAGGATTTATTCTCATGTT TTCCTATTAATGAGGACCTATATTCCGATATGATGGTTTTATCCCCGGATCCAGATGACG TTATCTCAACCGTTTCAACCAAAGACCATGTTGAAATGTTTAATTTAACAACCCGGGGTT CCGTTCGATTGCCTAGTCCACCAAAGCAACCGACGGGGCTTCCAGCTTACGTTCAGGAGG TCCAGGATTCGTTTACCGTAGAACTACGCGCCCGGGAAGAAGCATACACAAAACTACTAG TTACTTATTGTAAATCGATTATACGTTATCTCCAAGGAACGGCGAAAAGGACGACAATAG GTCTTAATATACAAAACCCTGACCAGAAAGCTTACACGCAACTCAGGCAAAGTATTCTAC TTAGATATTATCGTGAGGTGGCAAGTTTGGCGCGTCTTTTGTACCTACATTTATATTTAA CCGTAACGCGTGAATTTTCCTGGCGTTTGTACGCCAGTCAATCTGCACACCCGGACGTGT TTGCGGCTTTAAAATTCACCTGGACCGAACGTCGACAGTTCACGTGTGCGTTTCATCCTG TATTATGCAACCACGGCATTGTGTTATTAGAAGGGAAACCACTAACAGCGTCTGCCTTGA GGGAAATAAATTACCGCCGCCGAGAACTGGGACTGCCTCTAGTTAGATGTGGTCTTGTTG AAGAAAACAAATCTCCGTTGGTTCAACAACCCTCATTTTCGGTTCATTTACCACGGTCGG TGGGTTTTCTTACCCACCACATTAAGCGTAAGTTAGACGCATATGCGGTCAAACATCCTC AAGAACCGAGACATGTACGAGCGGATCATCCTTACGCAAAAGTTGTTGAAAATAGAAACT ACGGTAGTAGCATCGAAGCTATGATTTTAGCACCTCCGTCCCCATCCGAGATCCTGCCGG GGGACGGTTTTTAACGCGTTAAACGTCATTGGGGTAGAGGGTGTAAATAAATTACGAAAA CGTGCATGCGTTTTTTATTTTTACAATGCGCCGTATATGGTATGTCTGTCATGTGCTCTA AAGTCCCATATATAAAAGAAGCCCCAACGAGTGTATGCGTATTGCGTACCGCGACCCTGG GATGTTTTACAGGCGCGTTTGTTTGTCTCGGTTATAAGTATGCAGTCGGGTCATTATAAC CGGAGGCAATCCCGCCGACAGCGGATATCGTCTAATACCACAGACTCCCCCCGTCACACA CACGGAACACGTTATCGGTCAACCAATTGGTATACACACCCACCCCAGATATTGTCCAAT TCAGAAACATTAGTTGCGGTTCAAGAACTACTGAACTCCGAGATGGATCAGGACAGCAGT TCTGACGCATCGGATGATTTTCCGGGATACGCCTTACATCATTCTACATATAATGGATCC GAACAAAATACATCAACTTCCAGACATGAAAATCGCATATTTAAATTAACGGAGAGGGAA GCTAATGAGGAAATCAACATCAATACGGACGCGATCGACGACGAGGGAGAGGCGGAGGAG GGAGAGGCGGAGGAGGACGCGATCGACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGGAG GAGGACGCGATTGACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGACGCGATT GACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGGAGAG GCGGAGGAGGACGCGATCGACGACGAGGGAGAGGCGGAGGAGGACGCGGCGGAGGAGGAC GCGATCGACGACGAGGGAGAGGCGGAGGAGGTTGCAGTCGAGACGCGGATGAGGTTTATT TTACGTTAGACCCGGAAATAAGTTACAGTACCGATCTTCGCATTGCAAAGGTTATGGAGC CTGCGGTATCAAAGGAACTTAATGTATCAAAACGTTGCGTTGAACCTGTTACCCTAACAG GCTCTATGTTAGCGCATAATGGGTTTGATGAGTCCTGGTTTGCTATGCGCGAATGTACCC GTCGCGAATATATTACGGTCCAAGGATTATACGACCCAATTCATTTACGGTATCAGTTTG ATACTTCCCGGATGACACCCCCACAGATTTTGAGAACTATACCAGCCCTTCCTAACATGA CACTTGGTGAACTTTTATTGATTTTTCCTATTGAATTTATGGCCCAGCCAATTTCTATAG AACGTATTTTAGTTGAAGATGTATTTTTAGATAGGCGGGCTTCCAGTAAAACACATAAAT ACGGCCCGCGTTGGAATTCCGTCTACGCACTTCCATATAATGCGGGTAAAATGTATGTAC AACACATTCCTGGGTTTTATGACGTGTCCTTACGTGCTGTGGGCCAAGGAACGGCCATTT GGCATCACATGATATTATCCACAGCAGCATGCGCTATTTCTAATCGCATTTCACATGGAG ATGGATTAGGATTTTTGTTAGACGCGGCAATTCGTATTAGCGCAAACTGTATTTTTTTGG GACGTAACGATAATTTTGGCGTGGGGGATCCATGTTGGTTAGAAGACCATCTTGCCGGAT TACCACGAGAAGCCGTACCCGACGTACTCCAAGTGACACAGTTGGTTTTGCCAAATCGGG GTCCAACGGTTGCCATTATGCGTGGTTTTTTTGGGGCGTTGGCATATTGGCCCGAACTAA GAATTGCTATAAGTGAACCATCTACATCTTTGGTGCGATATGCTACCGGTCACATGGAAC TTGCCGAATGGTTTTTATTTTCACGTACACATAGTTTAAAGCCACAATTTACCCCAACGG AACGGGAAATGTTAGCGTCATTTTTTACGTTGTATGTTACTCTTGGTGGAGGAATGTTGA ACTGGATCTGTAGAGCAACTGCAATGTATTTAGCTGCTCCTTACCATTCCCGTTCGGCTT ACATCGCGGTCTGTGAATCTCTGCCCTATTACTATATCCCGGTTAATAGTGACCTGTTAT GTGATTTAGAGGTATTACTGTTAGGCGAGGTCGACCTCCCAACTGTTTGTGAATCCTACG CAACTATTGCACACGAATTAACCGGATATGAGGCTGTTCGCACAGCAGCCACAAATTTTA TGATAGAGTTTGCCGATTGTTATAAGGAAAGTGAGACCGATTTAATGGTAAGCGCGTACC TGGGGGCCGTTTTATTGTTACAACGGGTGTTGGGTCATGCAAATCTTCTTTTGTTGCTTC TCTCCGGTGCTGCGTTGTACGGAGGATGTTCAATTTACATCCCCCGAGGTATTTTAGATG CATATAATACTTTAATGTTGGCAGCAAGTCCTCTTTACGCTCACCAAACTTTAACATCCT TTTGGAAAGACCGCGATGATGCAATGCAAACTTTGGGGATTCGACCGACAACGGACGTTT TACCCAAAGAGCAAGACAGGATAGTTCAGGCATCACCTATAGAGATGAACTTCCGTTTTG TGGGATTGGAGACCATCTATCCCCGAGAACAGCCCATTCCCTCCGTGGACCTAGCCGAAA ATCTTATGCAATACAGGAATGAAATTCTGGGTTTGGATTGGAAAAGCGTAGCCATGCATT TACTACGAAAATATTAAGGGTTGTGATTTTTTTCATTAGGATGAAAAGAACGTTTCCTAG CCACACCCACAAAGGAGTTTGTAAAATAAAATCTCGTGTGTGTTGTGTGGGGGGTCCGTG AGGATCGACCTTTACAAGATATAATTTGTCCATATCGCAATGTTTTCTCGGTTTGCGCGT TCCTTTTCCAGCGATGATAGAACGCGTAAATCTTATGATGGTAGTTACCAAAGTTTTAAT GCCGGCGAACGTGATTTGCCCACACCTACCCGGGACTGGTGTTCTATTTCCCAACGCATA ACCAGCGAGCGCGTGAGGGATGGATGTCTTATTCCAACGCCCGGCGAGGCTTTGGAGACG GCGGTAAAGGCTTTATCTGAAAAGACCGACAGCCTAACATCGCCGGTTTTACAAAGTACC GAAAGACACAGTGTTCTGCTTGGATTACACCATAATAATGTTCCTGAATCGTTGGTGGTC TCGTGTATGTCTAACGATGTTCATGACGGGTTTATGCAGCGTTATATGGAAACAATTCAA AGATGTTTGGATGACCTGAAACTTTCTGGGGATGGACTTTGGTGGGTTTATGAAAATACA TATTGGCAGTATCTCAAATACACCACAGGAGCCGAGGTACCGGTGACTTCAGAGAAGGTA AATAAAAAGTCTAAATCCACGGTTTTGTTGTTTTCATCCGTAGTTGCCAATAAACCAATA TCCAGACATCCTTTTAAATCTAAAGTTATAAATTCGGATTACCGGGGAATATGTCAGGAG CTACGTGAGGCGTTAGGAGCTGTGCAAAAGTATATGTATTTTATGCGTCCAGATGATCCT ACAAACCCCAGCCCGGATACAAGAATACGTGTACAAGAAATTGCGGCTTACACGGCTACT GGCTACGGGTGGATGTTATGGTTCTTGGACGTTGTGGACGCCAGGGTATGTCGCCATCTC AAACTTCAATTTCGACGGATTCGAGGGCCGCGCGCGTCTGTTATTCCAGATGATTTGCTT AGACGACATTTAAAAACGGGTCCTGCGGTCTCAGCGGGCACAGGAGTTGCGTTTATTTTA GCAGCAACAACTGCCAGCGCTCTTACTGCGCTTTTGCGTATTAGTGTATTATGGCGAAAG GAAGAGTGGCGGGATGGTTTAAATGGAACCGCAGCTGCAATTGTTGCGGCGGTTGAACTT ATTACGCTTTTGCACCACCATTTTCAATACTTAATTAATATGATGCTTATTGGATATGCA TGTTGGGGGGATGGGGGATTAAACGATCCTTATATATTAAAGGCGCTACGCGCCCAGGGA CGGTTTTTATATTTTGCGGGTCAGTTGGTTAGAACAATGTCAACACACAGTTGGGTTGTG TTAGAGACCAGCACCCATATGTGGTTTTCCCGGGCCGTGGCGCAGAGTATTTTAGCACAT GGGGGTAAACCCACAAAGTATTATGCTCAGGTTCTTGCCGCCAGTAAACGGTATACTCCG TTACATTTAAGACGTATATCCGAACCATCGAGTGTGTCTGATCAGCCGTATATTCGTTTT AATCGACTGGGATCTCCAATAGGGACAGGTATAGGGAATTTGGAATGTGTCTGTTTAACG GGAAATTATTTATCTGACGACGTAAATGCAAGTTCGCATGTAATTAATACGGAAGCACCG TTAAACAGTATAGCACCCGATACAAATAGACAGCGGACTTCTCGCGTTTTAGTTCGTCCA GACACGGGTTTGGATGTAACTGTCCGAAAAAACCACTGTCTGGACATAGGCCATACGGAC GGTAGTCCAGTTGACCCAACGTATCCTGATCATTACACCCGGATAAAGGCGGAATATGAA GGTCCGGTTCGGGATGAATCAAACACAATGTTTGACCAAAGATCGGATTTACGTCACATA GAAACCCAAGCATCTTTAAATGATCACGTATATGAAAATATACCACCCAAGGAAGTGGGT TTTAACTCATCTTCAGACCCGGATGTGGATAGCCTTAACGGGTACACCTCCGGAGACATG CATACAGACGATGACTTATCACCAGATTTTATACCCAACGACGTTCCCGTTAGATGTAAA ACCACGGTTACGTTTAGGAAAAATACGCCTAAGAGTCATCATTAAGTACAGCGGTTAATA GATAGTTATGGACTAGGCACTTTGGCGGTCATTTCCACAACCAGGTTAAAATTGGGGGAT TTGGGAGAAAATAGTCTATTGCGTATTTTCTGTTCAATAATTGGACTGCGTTATTTAAAG GTCTGATTGGTTGATTGGGTTATAAAAGGAATTACTCCTTTAAATTTTACTTAATGTACC CACAATATCAAGTGGTCGTTTGTATTTAACGATTATTACCGGTACCATGGGAGACTTGTC ATGTTGGACAAAAGTGCCGGGTTTTACGTTAACCGGCGAACTTCAGTACTTAAAACAAGT GGATGATATTTTAAGGTATGGAGTTCGGAAACGCGATCGAACAGGAATCGGAACGTTATC TTTATTTGGAATGCAAGCTCGATACAATTTGCGAAATGAATTTCCTCTTTTAACTACAAA GCGTGTTTTTTGGAGGGCCGTCGTGGAAGAGTTGTTATGGTTTATCCGCGGGTCAACCGA TTCCAAAGAACTCGCCGCTAAAGATATACACATATGGGATATATACGGATCGAGCAAATT TCTAAATAGGAATGGCTTCCATAAAAGACACACGGGGGACCTTGGCCCCATTTACGGCTT CCAGTGGAGACATTTTGGAGCGGAATATAAAGACTGTCAATCAAACTATTTACAGCAAGG AATCGATCAGCTGCAAACTGTTATAGATACAATTAAAACAAACCCAGAAAGCCGACGAAT GATTATATCGTCTTGGAATCCAAAGGATATCCCCTTAATGGTACTACCTCCATGTCACAC GTTATGTCAGTTTTACGTTGCAAACGGTGAATTATCCTGCCAAGTATACCAGAGATCGGG GGATATGGGCCTTGGGGTACCGTTCAACATTGCTGGATATGCACTTCTTACCTACATAGT AGCGCATGTTACAGGACTTAAAACCGGAGATTTAATTCATACAATGGGGGATGCACATAT TTACTTGAATCATATAGATGCTTTAAAAGTGCAGCTAGCTCGATCCCCAAAACCTTTTCC TTGCCTTAAAATTATTCGAAATGTAACAGATATAAACGACTTTAAATGGGACGATTTTCA GCTTGATGGATATAATCCACACCCCCCCCTAAAAATGGAAATGGCTCTTTAATGGATTTT TAAATGTTGTCAAGACAGTAGATGTGTTGCCAGACGCGTTTGGTTGGTTTCTGTTTATGA ACAGCAACGGATGCATAGGGTTGCGATAACTGCGATAAGACCCAATGTCCCAAGGATAGA TATCACACCAATTATAACTGCTACAACGGAAAATGTAGTGGCGTAGGTAGATGCATCGTA GGTATAAACGGCCGAAAACGGAGGGAATTTTTTAGGGTAACCATCTAGATGACACGAATA GGTGATAGGTCCGTCGAGTTCCGATGTTGGACAAGAACTTTGCATGTTTACAAACCGTTT GTTTTGATCACACACCCCAGTAATCTCACTGTTTTCGTGGTTAATGGGAGAATCGTTAAC CCACCATACGAAATGTACAACGCCACGTGGCACACATTTTGCCGTACATACTATGTGTCC ATCAATAATACCTATAGACACGTTGGGAAATGGATAGACGTCAGGGGTAACGACAGCAGA ATATTTCATATTAGAGACGCCATCCCGAATCCATAAAACATTACATTGGATGGCTGGGGG TGGGTAATCCATTTGTTTTTGCTGTGGAATTCGTACCGCCGAAACATAACTAAATAATCC ATTGGCATATTCTTGTATTGCATCGGTTATAAAATTTTTTCCGATGTTACCAAACCTTGA AGTCCACCGAACACGTACCGAGTGCGGTGGATAATACTTTGATACGTTACAGTAGGCTGT GTATGTCTGTCCGGTTAAGACTGGATCGCCGACAACGGTAATATTTGGACGATAATACGT TGTAACTGTAATACTGTGTTCCGATATGACGTTCTTAGTTTTTGTATTAACGACTCGCCA AATATACGTTCCCTCCGTGGTAGCATCCATAGATAAAATTGTTACAGAAAAATCAGACGT TGTTTTAACATCTGGTATTACATAATTTTCCTTAGCGTGTGTAAATATCTCAGGGTTGTT TATTAAGTTTAAATCGGCACTGTTGCTATATAACATAACCGGTAAATCTGGCATGCGTAT TAACGCATTGCCCAGTTGACGGTGCGGATCTATAAGGTGACGCGTAAACCAAACTTCAAT ATGAAGATCGGGGCGTATAAGCGACTTCCACCTTGTTATATTTGAACCTTCCGGATCTAA AGAATATTGTTCATATGTTTTTTGTTGCTGCTTAAAGGCCGCCTGTTGTCCGGTCGTTAG ACGCATGTAACAAGGCATGATAAATGTGTGAAAATAGGGTATGGATTGTATTCCGCCGTG AACGCATTGTATATTTTCATATAGAAAAGGTGGTTGTGAATGTTGGGTGTTGGCTGCGGG ATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGTAGC GGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCGAC GGCGGGATCGGGCTTTCGGGTAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCG GGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGG CGCGACGGCGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGG CTTTCGGGTAGCGGCCGAGGTATATAATTCAGTTATACTTACGGGTGTGGGTTGAGATTC AGTCGATAATTGTATACACGCGATCGCCGCTTCATCCTGGTTTTTATTGACACATCCACG CTCCCCTTAAATAAAAGATTAAAACACCCACCGCGGAATTTAAATGATGGAAACGTTTTT TTCGACATTGGGAATAATAAAAACGGCTTTTGCAACTTTAAAAACTTTATTTATCTCGAT TACGATACATATGTACCACATAGATAGCATAGATTTATTATAATATAAACACACACGTGA TATACTTTAGTGATATGAGATGCCATAAAACAGTCAATAGGTTTAACGCTTAGTCTCATC ATCTGAATACACGTCAAACCCGCCGCAACTGTTGATGTTAGAATTATAATAGCTCCCCAT GAAATGCCGGCAAATGTTACAGCTATACCCGTCACCGAGGTCGTTGTATATAATACAATT ACCCATAGGTTTTTTTTTTCTTGATATAAAACGGCAAAACCCTGTAACCCAAATGCTATA ATATGACCTCCTATTGAAACTGCTAACGTTACTTGTGTAAGTTTGATAAAATGATTTAAT TTAATTATATGTGAGATTGCCCACATTAATGGGGTAACTATATATAACACCGGGGGTATA ACAGACATTATACGAATTCCTTTAAACACGCGTTTAAGGGTCCGGGAACTTTCTCGATGG TCACATACTCTCCCGCGGTCATTTTGTGTATATACAACGGCAAAACCTAAATCTGTATAA GTGTTTAATTGCTTATGGCGATTTTTACGATATATACACGTATCTTGCAAATCGGTGGCG GCATCGACAATTGAAACTAGTGTGACAATAGATATACACAATCCAATAAGAACCTCATAT TTACTGACATACATATATAAAATAACGGTTAGTAAACCTCCCAACCCAGTTCCCAACATC ATAACATAAAAATAAATATGCGGTCCATTGAATGTCGTAACAAAGTTGTAGTAATGGATA TGCACAGCAGCCACTGTTCCGGTAATCGCGGATATGGAAATTCCCAGTAATTCTACAAAT GGAAGATCCCGGGATATTGGGCAACCAACCGCCCATAACACAGCAAAACCCAACACGACC ACCGTCTGCAAACATCGTCCCAATTTTGCTAATGTGCGTAGAAATTTCACGGATGTTGGC CATAACCCCGAAACGACGATCAACCCCATAATAGTTGCATTGACGGCAGCTTCGCAGACG TGATATTGTAAAATTAACCCGGACGTGATAACACTTGCTTGTAGTCCCACGAGAAACAAC CGCGATGCTGAGGTTATTGCACACGAATTACATTCTTGAGGGTTTCCGACACATCCTTGG ATTGATTGAGCGCGGATTAATTCTCTGTCTAACACACCCAGGTTTTCATCATGGACAGCT CTTTCACCATTCACGGCCATGTCTTAAGTTTAATAATTCAAAACAAATAAAAATGTGTTC ATCTATGGTACACACAAGTTTGTATGTAAAATATAAGCAAAAGTTGCACTTATTTAACTG TACATATTACGTCAGATTCACGTGATAATTCAGAATAATCCAGGGTTCCTGCAGGGTCCA CTGGAGGAGCCACACAATATTCGCGAATTCCGATTCCCTCCTGCCATGTGGTTTCGGAAT TCGCGAATATTGTGTTCTTTTTGTTAATAAATTGCGTCTTTTTTTTAATGGTGGTTCATC CTTCACAGATTCCATGTTCGCAAATAATTGCATCGAGGTTAATTTTTCTTTAAGGTCTTT GGGACTTAAGAACGTTGCATAAAAAAAAGAATGCACGGGTGCGGAACGTTGGATATACAA TCCAACCATGGGGGAGTTAGTTAAGGCGAGATAAAAATTAATATAACACGTCTCATCCCG TGTTAACTTAAGATTTTGTACGGCAGAACGGAATCCACTGTGTGTTTCCAATAATACTCC AAATTCACGCATACTCCCGCTGCCATAAACAACATTATTAAGGATCCTTTTTGAATTTGT GATTGAGCGTATTAAATTATATGGTGTAGGCTTGCTTCCGTTTATATCCAAGGAAACATT AAATGAGATAAAACCACCCCCGGCGGTCTGGATGTACATATCCGTGGCTGTTAGAATGAA GCATGTTGTAAACCCAAAAGTTTTAAGTAGTCGCTGTAAACGGGTGAATTGATCGCGTTT TAAGCAAATGCTTATATCTGGAGTTAGATTTGGGAACATCATTGTATAACAAGCGAGTTC ACGTTTTACAACTTGTTTGTAACATTGTACTTGATCATCTGGACCACAATCACCCGGGCG TTGCCATACCATCGTTTGGATAATACTCCGCTCGGGGGGTTGTCCGGTGAATTTAAAATA TAACCGTGTTGGGGTCGACGGATCTTTTGTATGGCGAAACGCGTCAATAAGCGAGGACCG TCCCTCCGTTGCCGCGAGTACAACCATTCTCGGCCCAGTCCAATTATACTGGTCAAACAT ATTTGCCGGTATAGGAATATACAGTTGTTCTGTTTCCAAACTACAGTGAATAATTAATCC TTCGTCGCTGAATATTAAAATAGAATCCCTTAGTCTATTAACCAGAGGTGATATAGACGA AATTAAACCAGTAAGCGTTTTTTCCGTTAAAACAGCTCTGGCGATTTCTGGGGCGTCAAA ACCCGCATGCAATTCCATGTCCAAAGCATCGTCTGTACGCGACCTCAAATCCATAATTTA CTACTTAAAATGTTTACTATAGAAAAAGTAATCATATGTAAACACACGAGTTTCGTTAAT ATGTTTGTTTAACCCGATCCGGTGACTTAAGTACATAAACAGGCATGATATTTGAATAGT ACGGCCCATGGGAGGGAACATTTCCACGTGTTCCAATACAGGGGGTGTTCCTTAATAGGG ACTGTGCAATAAAATACGTAAGAAGTTACCAGATTTGATGGTACATCATTATATACGTCT GTAATTAACACAAGATCACATCGAAGAATTACTGAAGCCGCTGTGAAACCTTTCACAAGA CGATATAAACTTGGTTAAGTGTATTGATGGGGCTCTTTGGACTGACACGCTTTATCCATG AACATAAACTGGTTAAACCCAGCATCATTTCAACGCCACCCGGAGTTTTAACCCCCGTGG CGGTAGACGTATGGAACGTCATGTACACATTGTTGGAACGTTTATACCCTGTGGGTAAAC GCGAGAATTTACACGGACCATCTGTAACGATACATTGTCTTGGAGTCTTATTGCGGCTAT TAACACAACGGTCATACTATCCGATATTTGTATTGGAACGTTGTACAGACGGCCCATTAT CACGTGGAGCCAAGGCAATTATGTCACGGGCCATGAACCACGATGAAAGGGGAACCTCGG ACTTAACCCGTGTTCTACTATCATCCAACACATCATGTTCTATCAAGTATAACAAAACAT CGGAAACATATGACAGTGTGTTTCGAAACTCTTCCGCGAGTTGTATTCCTAGCGAAGAAA ACAAATCCCAGGATATGTTTTTGGACGGTTGTCCACGACAAACTGACAAGATGATCTGCC TGCGCGACCAAAACGTATGCAGTCTTACCTCTACAATGCCATCCCGAGGACATCCTAACC ATCGATTATATCACAAATTGTGTGCAAGTCTTATTAGATGGATGGGGTATGCATACGTCG AGGCGGTTGACATTGAGGCGGACGAGGCATGTGCAAACTTATTTCATACGCGTACAGTGG CTTTGGTTTATACGACAGATACTGATTTACTCTTCATGGGCTGTGATATTTTGTTAGATG CAATTCCTATGTTTGCTCCAGTAGTACGATGTCGCGATTTGCTTCAATATTTAGGAATTA CATACCCTGAATTTTTGGTTGCCTTTGTTCGCTGTCAGACCGATTTGCATACAAGTGACA ACCTAAAATCTGTTCAGCAAGTTATTCAGGATACCGGCCTGAAAATTCCACATCAAATGG ACACTTCAACGCGCTCCCCCACTTACGACTCGTGGAGACATGGCGAGGTTTTCAAAAGTC TTACCGTAGCCACGTCGGGTAAAACAGAAAACGGAGTGTCCGTTTCCAAATATGCATCTA ACCGATCGGAGGTGACAGTAGACGCCAGTTGGGCTTTAAACCTTCTGCCACCCTCATCCT CCCCATTGGATAATTTGGAACGCGCATTTGTTGAACATATAATCGCCGTGGTAACTCCAT TGACCCGCGGTCGCCTAAAGTTAATGAAACGTGTAAATATTATGCAAAATACGGCAGACC CATATATGGTTATTAACACCTTATATCATAACTTAAAGGGGGAAAAAATGGCTCGCCAAT ACGCACGTATTTTTAAACAGTTTATTCCTACTCCACTCCCACTAAACACTGAAACACACA TAAGAGCGACTTAATGGTTCATTGTTTTATTTTGCTCGTATATACATGTTATAAATCGTT TATCACTGTGCCCGCATAAGATGTACTGTGTCTCTCAAAAAAATTTGTGTTTTTATCTGC AATCATAAATGCAAGTGGAAAGTCCGAATCTGGAGGTGGGGTGTTAAATAGTTTTGGTAC ATTAATCGCTGATAAAAGCCTGTCCGCGCTGAATTTCACGTATTGTGTAATTGCATCGAC GTTCACCAAACGGGTTTTGGGTGCATGGGATTTTAAAAACGCACACTCGATTTCAACGGC TTCCGAAAACAGTTGATGTATTCTGGTGATAGCGGGTTTTTCGGGTACATAGTTATTGTA TATACAACACGATGCGCTGGTATGTATGGCTTCATCTCGGCTTATAAGGTCGTTAAATTG ACAAGTTACAACAAATAGTCCGTTATTGCGTAAATATGCAATAGCCGCGAACGATGATAC AAAAAAAATGCCCTCTATAAGAATCATTAGTATATATTTTTCTGCAACGGATGGGTTGTC CCGTACCTTTTCTTCCAACCATTGTACTTTTTGTTGGATCGACGGATTATTAATAGTGAC ATTTACGTATTGTACCCGCAACGATTCATCCCCTCTGAACAACATTAGTTGAATTTGACT ATAGACACGCGCGTGGACAACCTCGATGCACTCTTGTTCAATGTAGTAATGGTGAATATC CTTTTGGGAAAAGAGTTGGGTTAGAGAGCCCAAATTAACATTTACCAGATCATCTGCCGC CGATAAAAATGTAAAAATAAATCTGTAGAATATTAGTTCATCTTCCGTTAAACAGTCCAA GTATTGATAATCATCTTCAATGATAAAATCGCTTTCTAACCAACGATTCGAAATGCTCAG GGCACGTAAATTGTTTATATCTGGACACTCCGGCCTGTAAAAAAAATGACTGCAATCTTT CTGATCCATTTTGGAATAGTTTCCCGTGTAAATTTATAAAGCACAACTGGTACAGGTTAA TTCGCCTCCCGCAAACAGTCCGCTGTTTGTAGCTTTACGAATTTTACAGTAGTACATACC CGTTTTAAGGCCGGCTTTATAGGCACGTATAAGCAAATTCATTATTTTGGAGGCGGGAAT TGTCCCGTCTGGGCGTTCCTCAATAAATAAAGTCATTGATTGACTTTGGTCAATAAATGG CGCCCTTTCTGCACACATATCAACGAGATCCTCTTGCTCATATTCAAACGCTGTTTTATA TTTTAAGAGTGGGTGACTATTAGATAAACAGCCAAACGAACGTATTACTGACCATTGGTT TTTCTCAAGTATGTTTATAACTTCCAGTCGTTTTTCTTCACATGAATACATATCTCTTAG TTCGTCCATAAGGTCTAAGTTGGGTCTAAGTAACTCACCCGAGGTGGTGACCTTACTAAA CATATTATTATAAATTGGAGAGAAACCCTCACTGCACTCCGTTACCTGTGCAGATGAAAC TGTGGGCATTAACGCTAAGAACTGCGAGTTGTATAACCCATAAGCGCAAATATCATCTCG CAGGGTACACCATGGTAAATCTAAATAACTTATCGTAGAAAACCCATCTTGGTGTAACCA TCCCTTAGCATATTTACTTTCGGTAAAACCCTTAAACGGGGCTAAGCCGCCAATCTTACA CATTTCCATGCTTGTTTTCATTGTCTCATACAACATTAACTCCGCTATTTGTACATTTAA CCGTCTAGCTGGTTGGGAAGTTAAATCAAATCCTAAGCGGAGACAAGTTGTATGTAACCC TTGTATGCCAATGCCAAGTGATCGGTTGTTTTTTACACCTTTACATGATTTTTTACATGG AAAGTTCCCAGCCGCCAGGACCCCGTTTAAAAAAATAACAGTCGTTCTTGCTGTCAATTG AAGGTCGTTTAAATTAAATGACACTGGGCCTTTGGATAAGCACGTTGTAAGATTTATGCT GGCAAGATTACATACGCCATGTTGATGAGCGTCTGCCTTTTGAACAATTTCCGTACACAA ATTTGACCCCGTGATAGCATTTCCTTGGGTATTCATATGATAATTACGATTACAGGCATC TTTGAACATTAAAAAGGGGCTTCCTGTTACAGCAGCACTGCGTATGATTGTGAATGCGAT ATCTTGAATGGGAACAGAAGAAACGCCTAATCCTTCTCTCTCTAAACGTAAATAGGTTGA AGTGAATGCCTCCCCGTGTAATGTTCGAAGGATATCGGCTCTGTTATCAAAAAGAGTCCA CTGAACATTACTAGCCCCTTTTAGATAGCTTAGGTATCTTTCAAAAAATAAATCTGGGGT CCATAAACAACAAAATATGTTATCACATCGAAATATTTCATCACGAACCAACATTCCACG TGTGGCCAAAACAGTTTGTAGATCGACGTGCCATGGTTCTATGTAAACACAAACTCCAGT TGGTCGTTCACAATCACTGTTAATTGCCATAACCATGCAATCTAAAAGTTTTAAAACTGC AAGAAGACCTTTCGTTTGATTTTCCGTAGGTATTAAATTCAGACTCTGTAGAGAAATTCC CACTCCGCCTCGACTTTGTAATACCGTTCCCACATCGCCTGTGATAGCTCGAACAGCTCT CCCAACAGTGATGGATTCCGGGTCCATTAAATAACAACTGGCCGTTGCCCCGGTCTCTCG ACCTAAAAACATCATAACCGGTGTAGCCGGGACAATTTTCTGACATGCCAACGCTGTGAA AAATACCCGACAGACATCAGTCCATGTATAACCATCATTTATTCCGGGAATAAGAGTTGC GATTTTAGGCAGGTTTACGATTTCTGTTGTCACGGTGGCCGCCAGTCTTAAAAAGAATTG GCAAAGCGACTCTAATTTACCTTCCTCTAACTTAGTTAAATAAAAGTCTTCGTACTTTAA AGCAGACTGTAGTCCAAGGGTAGCTAAAGCGGGGTATTGATCTTTCAAAAACGGTTCTAA TATAGCCCGACGAATTTCGTCCCTCCGCCCTTCAATTGCTTGGCGGACTCGGGGAGTTAA ACAGAGAATTGGGGAAGTCAACCACGTTTCCATGGAAACGGATCGTAGGTTAATACGGCA ATGGATAAGTTCTCCACAACATCGGTACACTCGCTCATCTTGTCGCGTCACCGCCTTAAG TTTTGAGACGATAGTGCTAATATACTCCATTAATTCCACCGGTGTGGTTGATTCGGGCGG AATGATGTATTCCTTGTAGCCATGTTGACATAATCGGTTTATAATGTCATGAACCGATTA TGTCAACATGGCTACGTACAGCCTGCCCCTCCCCAGTATATAATATCACGCAAAACCCAC GCTATGTTAAATTCAGTTTATTTTACATACATGCTTTAATAATAACATTCGTTCCATGTA TTTGTACCCCCCCACACAACCCCCTCTAACCAAATAGTTGGCACGTTATAACCTCCGAAC CGTTCCATGCGTCTTGTATAACGCACAGACTCTGATGGAATTGTTCCAATTAACGTATAT GCCGCATACATGCAGGATAATTGTGTGGGAAGTCCCCGAAAATCGCCGGTCCATTGATAC AATCGCTGTCTAGCCAAGTTCCAATTTACTCCTGTAATTTCGCCAATACTACATCGAGGG CTTGTCGGGTCATTGGATAACTGCACAAGCGGCAACGCCCTTGTGTTATATGGCTGGTGG GTATTTGCAACCCCTTCAGTCCCCCAGGCGGCATTTTCAGCTCGTATGCGTCCTAACAGG AAGCCAATACCACGACCAAAACATTGTTCGTTTAGTTGGCTTAATGCAAGATGCAGTCTT ACACCTTCTCGTTGGCGTCGCTGTGTATATACAAAAACCAAGAACACATGCTTCAGTCCG TCCGCGGAAAGATGTAAGTCTTTGTCAACGTCCCAAAATACGCAGGCCGGGATGTTGGCT GTGACCCTGCGAGTTGAAGTTTTGTCTGTACGTGCAGCTTCTTGGGGACCTTTGGCCACG GCGGTTATATTGCATAAATTATCCTGAATGGTATATTCCAGCAGGGACCCAAAAAAACTT ATAAATCGATGTGGAAATACATGACATTGTACCATCGCACGTAAACACTCCGAAAACCTT ATGAGCCGCGTTTCCATACGACTGCATCCATAGGCAGAAACAATTGCTGTTCTGTTGGCA TCTGCTGCCTGTTTATCCGTATATTCTTCTGCCCGGCATGCGGCGATGAAACTTAATGAC GTTACATATGCTCTAAGCCCCCCACCTTCTCCAACGGTCCAAGGAGCCGTGCAGGCATTG AATAGGTTTCGTAAACCCTCTAGTATTACATCGGGGTCACGTCCAGCCTGTGTAAGTGTA TTAGCTTCTCCAATCATGTCAGATGGATGACGAAGGATTAAGACGATTGACCCAGCATGC TCAATGTCCGGACGAAAAAAATCGGTTAATGACACTTGTTGGATTAGCTGTGTCGTTGAT TTAAAATTATTTAACGGGAGTCTAATGGTAACTTGCGGGTTACCAATTGAAGTTGGATTT ATTTGAATGTTGTTCATGCGATTAATAACAATTGAACGGGGGGTTACTTGAATAGACGCG GTTTCTGTACGTTTTGGTGGTCCATGTATCGGTTGTTTGTTCAGACCTCCAAAGCGAGGG CCAATTGTTAAATCGCGACTCCAATTTCCGAAGAAGCCCGGAGCATAAGTCATATGAAGC CCGTTCCCTATTTGAATAAAACGGTTATTTCCTAAAAGACTGATATTAGTTCCACATAGC GTTTGTTCGTTTAAAGTAAAATGCGAGTTGGTTGGTTGACTCCCCATAGCTGAGGGGGTA AATTCACACAATGCAATCGTGACGTGGTACTATCTGAAATGTTGCCTGGGGTATGTGTAC ACATTATACAGTCGTAGTACCGTTTATATAATGTTAGGTAGGAGGAGCCTATAAAAATAT TTTGATTGGCGTTAAAAGGTTCTTCAACTTACCGTGACGTCCTTTTTATTAACATGCGGT CTTTTCATTCCGGACGGATGTAGCTTTTTCATATCACGTTATAAAGTTAAGTCAGCGTAG AATATACCATGGAAGAACCAATTTGTTATGATACACAAAAACTTTTGGATGATTTAAGTA ACTTGAAAGTACAAGAAGCGGACAACGAAAGACCATGGTCACCAGAGAAAACAGAAATCG CCAGAGTTAAGGTAGTTAAGTTTTTACGATCTACCCAGAAAATTCCAGCTAAACATTTTA TTCAGATATGGGAACCCCTGCATTCTAATATCTGTTTTGTATATTCCAATACATTTTTGG CGGAGGCTGCTTTCACGGCCGAAAATTTACCCGGACTGTTGTTTTGGAGACTAGATCTAG ACTGGACGATAGAGGAGCCAGGTAATAGCTTAAAAATTTTAACCCAGCTATCAAGTGTAG TACAAGATTCCGAGACGTTACATCGTTTATCGGCCAATAAATTACGAACCTCGTCTAAAT TTGGACCCGTTTCGATACACTTCATTATAACGGACTGGATAAATATGTACGAGGTCGCCT TAAAGGATGCAACAACAGCCATTGAATCACCATTCACTCACGCTCGTATTGGAATGTTGG AAAGCGCCATTGCAGCTTTAACACAACATAAATTTGCGATCATTTACGATATGCCATTTG TTCAAGAGGGGATTCGTGTTTTAACACAATATGCAGGATGGCTTCTTCCGTTTAATGTTA TGTGGAATCAGATTCAAAATAGCTCACTCACTCCTCTAACACGAGCCCTTTTTATAATCT GTATGATTGATGAATATCTCACGGAAACGCCAGTACATAGCATATCAGAATTATTTGCAG ATACTGTAAATTTAATTAAAGATGAGGCGTTCGTATCCATCGAAGAAGCGGTAACGAATC CACGAACGGTGCACGAGTCACGAATTTCTTCAGCTCTGGCTTATCGAGACCCTTATGTTT TTGAGACATCCCCGGGAATGCTTGCTAGGAGACTTAGATTAGACAATGGTATATGGGAAA GCAACCTCTTATCGTTGTCCACCCCCGGAATTCATATTGAGGCGCTGTTACATTTACTAA ACTCCGACCCGGAAGCGGAAACCACATCTGGAAGTAATGTAGCAGAACACACCCGTGGCA TTTGGGAAAAGGTTCAGGCTAGTACATCGCCTAGTATGTTAATAAGCACCCTTGCCGAAT CCGGGTTTACAAGATTTTCATGCAAATTGCTACGTCGGTTTATTGCTCACCACACACTCG CCGGTTTTATTCACGGAAGCGTTGTAGCAGACGAGCATATTACAGATTTCCAACAAACAC TAGGATGTCTCGCTTTAGTGGGTGGACTGGCATACCAATTAGTGGAAACGTACGCTCCTA CTACCGAGTATGTGTTAACATATACACGGACAGTAAACGAGACCGAAAAACGGTATGAAA CGCTATTACCCGCCTTAGGATTACCACCGGGAGGCCTGGGACAAATTATGCGGCGCTGTT TTGCTCCACGACCCCTTATTGAAAGTATACAAGCGACACGCGTAATACTACTTAATGAAA TTTCTCATGCAGAAGCTAGAGAGACAACATATTTTAAGCAAACACATAATCAATCCTCAG GTGCGTTATTACCACAAGCAGGTCAAACCAGGTTAGTACGGCTTCGCGTACGGCACTTTG TCCTGCTTGTGGATTCAAGATGGGGTATTACTCCCCCGGTGGATGTGGGTATGACACCTC CTATTTGTGTTGATCCACCGGCTACAGGGTTGGAAGCTGTCATGATAACAGAAGCACTAA AGATTGCATATCCTACCGAATATAATCGCTCTAGCGTGTTTGTGGAACCGTCGTTTGTGC CTTATATTATTGCAACAAGCACGCTTGATGCCCTTTCGGCAACAATAGCTTTGTCTTTTG ATACACGGGGAATACAGCAAGCCTTGTCTATTCTTCAGTGGGCTCGCGATTATGGATCCG GAACCGTGCCCAATGCAGATGGATATCGCACAAAACTATCTGCTCTTATAACAATATTAG AACCTTTTACCCGTACACACCCCCCAGTACTTTTACCATCTCACGTTTCTACTATAGATT CCCTTATATGCGAACTTCATCGGACTGTTGGCATTGCCGTTGACCTGCTTCCCCAGCACG TCCGTCCTTTGGTTCCTGACCGTCCTTCTATTACAAATAGCGTTTTTTTAGCAACTCTCT ATTATGATGAACTTTACGGTCGTTGGACCCGACTGGATAAAACATCGCAGGCGTTGGTTG AAAATTTTACATCCAACGCGTTAGTGGTTTCTCGGTACATGTTAATGTTACAAAAATTTT TTGCGTGTCGTTTTTATCCAACGCCAGATCTTCAGGCCGTTGGTATCTGTAACCCAAAGG TTGAACGCGATGAACAATTTGGGGTATGGCGTTTAAACGATCTTGCTGATGCGGTTGGTC ATATTGTTGGGACAATACAAGGAATCCGAACGCAAATGAGAGTGGGAATATCCAGCCTGC GCACAATTATGGCCGATGCTTCCTCAGCCCTTAGGGAATGTGAAAATTTAATGACTAAAA CCTCCACTTCTGCTATTGGGCCTCTTTTTTCAACGATGGCTTCCCGGTATGCACGGTTTA CACAGGATCAAATGGACATTTTAATGCGTGTTGACAAACTAACAACAGGAGAAAATATAC CCGGTCTTGCAAATGTAGAGATTTTTTTAAATAGGTGGGAACGAATAGCAACAGCTTGTA GGCATGCCACGGCAGTCCCGTCTGCCGAATCTATTGCAACCGTGTGTAATGAATTGAGGC GCGGTTTAAAAAATATACAAGAGGATCGTGTAAATGCCCCAACCTCATATATGAGTCACG CCCGAAATCTGGAAGATCACAAGGCAGCAGTTTCATTCGTTATGGACTCCAGGCAACAGT TTATTGTGGATTCTGGACCTCAGATGGGCGCGGTTTTAACTTCACAATGTAATATAGGAA CATGGGAGAATGTAAATGCAACGTTTTTACACGACAACGTTAAAATAACGACAACGGTCA GAGACGTAATTTCAGAGGCTCCGACGCTGATAATAGGACAAAGATGGCTTCGTCCAGATG AGATTTTATCTAATGTAGATTTGCGTCTTGGCGTACCCGGGAATACAAGTGGGAGTGACC CTTAATATAAAACAGGCGTGTTTATGTACATTAAAGTATTTGTGGTTTTTATTGACTGGG CGTTTCGTTTGTATAACGCTGTTGTTGCTAGTATTTTCATAACCTCCTAGGTTTTTGGAG CTACACGTGCTTATTCAACGCTCTTTGGGATTTGAATCATCGTAAACGTAGCGTCCCTAC CAGTTGAGCGCGTAATTTTCGTAAGCAATAAAATGGATATAATTCCGCCTATAGCTGTCA CTGTTGCGGGAGTGGGAAGCCGTAATCAATTTGACGGTGCCCTGGGACCGGCGTCAGGTC TGTCATGTTTAAGAACATCTTTATCGTTTTTGCATATGACATATGCGCATGGAATTAATG CAACCCTGTCATCAGACATGATTGATGGATGTTTACAAGAGGGTGCAGCATGGACTACGG ATCTGTCTAATATGGGGAGGGGTGTCCCAGATATGTGTGCTCTTGTTGATCTCCCCAATC GAATTTCATATATTAAACTGGGGGACACTACCAGTACGTGCTGCGTTTTGTCTAGAATAT ACGGCGATAGCCATTTTTTTACCGTTCCAGACGAGGGTTTTATGTGCACACAAATTCCCG CTAGAGCGTTTTTCGATGATGTGTGGATGGGACGTGAAGAGTCGTATACAATTATAACTG TAGACTCAACGGGAATGGCCATCTATCGTCAGGGAAACATATCTTTTATTTTTGATCCAC ATGGCCATGGGACTATAGGACAGGCTGTAGTTGTTCGGGTGAATACCACGGATGTGTACT CTTATATCGCATCGGAGTATACCCACCGCCCCGATAACGTAGAATCCCAATGGGCCGCTG CATTAGTTTTTTTTGTCACCGCAAACGACGGTCCCGTAAGCGAAGAAGCGCTATCTTCGG CAGTAACGCTTATATACGGAAGCTGTGATACATATTTTACAGATGAACAATATTGCGAAA AACTGGTTACAGCTCAACATCCGTTGCTTCTTTCACCTCCTAATTCCACGACAATTGTGC TTAATAAATCGTCTATAGTACCTCTTCACCAAAACGTTGGTGAAAGTGTATCCTTGGAAG CAACCCTACATTCAACGTTAACCAACACGGTTGCACTGGACCCTAGATGTAGTTACAGCG AGGTTGATCCTTGGCATGCGGTTCTAGAAACAACCTCGACTGGGTCTGGCGTTTTGGATT GTCGTCGTAGACGCCGTCCTTCATGGACTCCTCCTTCAAGCGAGGAAAATTTAGCTTGTA TCGACGATGGCTTGGTAAATAATACACATTCCACGGATAATTTACATAAACCCGCTAAAA AGGTTCTCAAATTTAAACCAACTGTAGACGTGCCGGATAAAACACAAGTGGCACATGTAT TACCCCGCCTACGAGAAGTTGCTAACACCCCAGACGTTGTGTTAAATGTATCCAATGTAG ATACGCCTGAATCCAGTCCCACTTTTTCACGGAACATGAATGTAGGAAGCAGTTTGAAAG ATCGGAAGCCATTTCTATTTGAACAGAGTGGTGATGTCAACATGGTTGTCGAAAAACTAC TACAACATGGGCATGAAATTAGCAATGGATACGTACAAAATGCGGTGGGTACGTTGGATA CTGTTATTACCGGTCATACAAATGTTCCCATTTGGGTAACAAGGCCCTTGGTCATGCCAG ACGAAAAGGATCCATTGGAGCTTTTTATTAACCTCACCATTTTGCGTTTAACGGGATTTG TGGTGGAAAATGGAACACGTACACATCATGGTGCTACAAGCGTTTATAGGTCCCCTTGGG GAAATTTTAACAGGATTTCCCTCCGCCGCGGAACTTATACGCGTTACAAGTTTGATATTA ACAAACATGCCGGGGGCGGAATATGCTATTAAAACTGTTCTCCGGAAAAAATGTACAATT GGCATGCTCATTATCGCTAAGTTTGGTCTAGTTGCCATGCGGGTTCAGGATACAACCGGC GCTTTACATGCCGAACTAGATGTGTTAGAAGCGGATCTAGGAGGTTCGTCGCCCATAGAC CTCTATTCTAGACTGTCGACAGGTCTTATAAGTATACTAAATTCGCCTATTATTTCTCAT CCCGGACTTTTTGCCGAGCTTATTCCAACCCGTACAGGGTCCCTGTCTGAACGAATACGT CTTCTTTGTGAATTAGTCTCGGCCCGGGAGACACGCTATATGCGTGAACACACCGCGCTT GTTTCTAGTGTAAAGGCTTTAGAGAATGCATTACGGTCTACCCGCAATAAAATTGATGCC ATTCAAATACCAGAAGTTCCCCAGGAACCCCCGGAAGAAACCGACATTCCACCCGAAGAG TTAATTCGGCGTGTATATGAGATACGATCCGAAGTTACAATGCTATTGACCTCGGCTGTT ACAGAATACTTCACCCGCGGAGTGTTATATAGCACACGGGCCTTGATCGCTGAACAATCC CCTAGGCGTTTTCGGGTCGCGACCGCAAGTACGGCACCCATTCAACGGCTTTTAGATTCT CTTCCGGAATTCGACGCTAAATTAACGGCAATCATATCGTCCCTGTCTATACACCCTCCT CCTGAGACTATACAAAATCTCCCCGTCGTATCTCTGTTAAAAGAGCTTATTAAAGAAGGG GAAGATTTAAACACAGACACGGCTCTCGTATCGTGGTTATCTGTAGTCGGGGAAGCTCAA ACCGCAGGTTACTTATCCAGACGAGAGTTCGATGAATTATCACGTACAATTAAAACCATT AATACACGCGCAACGCAACGGGCTTCCGCGGAAGCAGAGTTGTCTTGCTTTAATACGCTA AGCGCGGCCGTAGACCAAGCCGTAAAGGACTATGAAACATATAACAATGGTGAGGTCAAG TATCCTGAAATAACACGGGATGATTTATTAGCAACAATTGTACGTGCTACAGACGATTTG GTGCGACAGATAAAAATCAATGATCCAATCCGGTTTACAACCTTCGATTAAAAGACGATT GGAAACAAGGCTTAAAGAGGTTCAGACGTATGCAAACGAGGCCCGAACCACACAGGACAC AATAAAGAGTCGAAAACAGGCGGCATATAATAAACTCGGGGGGTTACTTCGCCCGGTAAC CGGTTTTGTGGGACTTAGGGCTGCAGTAGATTTATTACCGGAACTTGCTTCTGAGTTAGA TGTCCAAGGAGCCCTGGTAAATCTCAGGACCAAAGTCTTAGAGGCGCCGGTAGAGATCCG TTCTCAACTTACGGGTGATTTCTGGGCGTTATTTAACCAATATCGAGACATTTTAGAACA TCCCGGAAACGCACGCACATCTGTCTTAGGAGGACTGGGAGCTTGTTTTACAGCTATTAT CGAAATTGTGCCGATACCTACGGAGTATAGACCATCATTGCTTGCGTTTTTTGGTGACGT GGCAGATGTGCTTGCATCCGACATCGCGACCGTATCTACTAACCCGGAAAGTGAGTCCGC CATAAACGCTGTTGTTGCAACTCTTAGTAAAGCGACGTTAGTTTCATCTACAGTGCCAGC CTTATCCTTTGTGTTGTCGTTATATAAAAAATATCAGGCTTTACAACAAGAAATTACGAA TACCCATAAGTTGACTGAATTACAAAAACGACTTGGAGATGACTTCTCCACCCTAGCTGT CTCATCTGGACACTTGAAGTTTATATCATCTTCAAATGTAGATGATTATGAAATAAACGA TGCGATATTATCAATACAAACAAATGTGCACGCCCTAATGGATACGGTTAAACTTGTTGA AGTTGAACTGCAAAAGCTACCCCCCCATTGTATTGCTGGGACATCTACCTTATCTCGAGT AGTAAAGGATCTTCATAAACTCGTCACAATGGCACATGAGAAGAAGGAACAGGCAAAAGT GTTAATTACCGATTGTGAACGTGCACATAAACAACAAACGACTCGGGTTTTGTATGAGCG TTGGACACGTGATATTATAGCATGTCTGGAGGCAATGGAAACGCGCCATATATTTAACGG GACAGAACTGGCACGGTTGCGAGATATGGCCGCTGCGGGAGGGTTTGATATACACGCAGT TTACCCACAAGCACGTCAGGTTGTAGCGGCATGTGAAACTACAGCCGTTACGGCATTAGA TACTGTGTTTCGCCACAATCCATATACCCCCGAAAATACAAATATTCCCCCACCTTTGGC TTTGTTAAGAGGGTTAACATGGTTTGATGATTTTTCGATTACGGCTCCCGTATTCACCGT TATGTTTCCAGGTGTTAGTATTGAGGGACTCCTTCTGCTTATGCGTATTCGCGCGGTTGT GTTATTATCCGCCGATACGTCTATTAATGGAATACCTAACTACAGAGATATGATATTACG AACCTCGGGGGATCTATTACAAATACCCGCATTGGCTGGGTATGTTGATTTTTACACACG GTCTTATGATCAGTTTATAACCGAAAGTGTAACGTTAAGTGAACTTAGAGCAGACATCAG ACAGGCTGCCGGGGCTAAACTTACAGAAGCAAATAAGGCTTTGGAGGAAGTAACTCATGT TCGGGCACACGAAACGGCTAAACTTGCACTTAAAGAAGGTGTCTTCATTACATTACCAAG CGAAGGTTTATTGATTCGGGCTATAGAGTATTTTACAACTTTCGATCATAAACGATTTAT AGGAACGGCATATGAAAGAGTTTTACAAACAATGGTAGACCGCGATCTAAAGGAGGCCAA CGCAGAGCTTGCACAGTTTCGTATGGTGTGTCAGGCAACAAAGAACCGTGCAATACAAAT TTTACAAAACATTGTTGATACTGCCAATGCCACTGAGCAACAAGAAGACGTGGATTTCAC TAACCTGAAGACGTTATTAAAACTAACCCCCCCTCCCAAAACAATTGCATTGGCCATTGA TAGATCTACTTCCGTTCAGGACATTGTCACGCAGTTTGCATTGCTGTTAGGGCGTCTGGA AGAAGAAACTGGTACGTTGGACATTCAGGCGGTTGACTGGATGTACCAAGCTCGCAATAT TATTGACTCCCATCCACTAAGTGTGCGTATAGACGGTACCGGCCCCCTGCATACTTATAA AGATAGGGTGGATAAACTTTATGCGTTACGAACTAAATTAGATCTCCTACGACGACGAAT AGAAACCGGTGAGGTTACGTGGGACGATGCATGGACAACATTTAAAAGAGAAACGGGGGA TATGTTGGCATCGGGGGACACGTACGCTACTTCCGTAGATAGTATAAAGGCACTCCAGGC ATCGGCGTCTGTGGTTGACATGCTTTGTTCCGAACCCGAATTTTTTTTATTGCCTGTGGA AACGAAAAACCGTCTCCAAAAAAAGCAACAGGAACGTAAAACGGCGTTGGATGTTGTGTT GCAAAAACAAAGACAGTTTGAAGAGACCGCGTCTCGCTTACGAGCTTTAATTGAACGTAT TCCAACGGAGAGTGACCATGACGTTCTTCGTATGTTATTACGTGATTTCGATCAATTTAC ACATTTGCCTATATGGATAAAAACACAGTATATGACATTTCGAAATTTACTCATGGTACG GTTAGGCTTGTATGCAAGTTATGCTGAGATTTTTCCACCCGCGTCTCCAAACGGAGTATT TGCTCCTATTCCCGCCATGTCGGGTGTATGTCTAGAAGACCAATCCCGATGCATTCGCGC GCGGGTGGCCGCGTTTATGGGGGAGGCGTCTGTGGTGCAAACGTTTAGGGAAGCCAGATC TTCTATAGACGCTTTGCTTGGATACTGATGGGGTTCCACTTCGATATAGAGTGTGTTATA AATCAGTTGGGGTTAAACTTGGAACCATGCTATGCAGTCAGGGTGGATTATCTTTACGAC CGGCACTTCCCGATGAAGGTATTGTGGAAGAAACTACACTATCGGCATTACGCGTGGCCA ATGAGGTCAATGAGCTACGCATTGAATACGAATCCGCTATAAAATCCGGGTTTTCTGCCT TTTCCACCTTTGTTAGGCATCGCCACGCCGAATGGGGTAAAACCAACGCACGCAGAGCCA TTGCAGAGATATACGCCGGCCTTATAACAACAACATTGACACGACAATACGGGGTTCATT GGGACAAGCTTATTTATTCTTTTGAAAAACACCACCTAACTTCTGTAATGGGCAATGGAC TAACTAAACCAATCCAGAGAAGGGGTGATGTACGCGTATTAGAGTTAACCCTATCTGATA TTGTAACTATTTTGGTTGCCACAACCCCGGTACATCTTCTCAATTTTGCTAGATTGGATT TAATTAAACAGCATGAGTATATGGCCCGTACCCTCAGACCCGTAATCGAGGCCGCATTTA GAGGTCGTTTACTCGTTCGCTCATTGGATGGAGACCCGAAAGGCAATGCCCGGGCCTTTT TTAATGCCGCCCCATCCAAACATAAACTCCCGTTAGCTCTTGGATCAAACCAAGATCCTA CCGGCGGGAGAATATTTGCATTTCGGATGGCAGATTGGAAACTTGTTAAAATGCCACAGA AAATAACGGATCCTTTTGCGCCATGGCAACTTTCCCCCCCCCCCGGGGTAAAGGCCAATG TCGATGCAGTTACCCGTATAATGGCAACAGATCGTCTTGCGACCATTACTGTACTTGGGC GCATGTGTCTCCCGCCAATTTCCTTAGTGTCAATGTGGAATACGCTGCAACCGGAGGAAT TCGCATACAGAACACAAGATGATGTGGACATTATAGTTGATGCGAGACTGGATTTGTCAT CCACGCTTAATGCAAGATTTGATACCGCTCCCAGCAATACCACGTTAGAGTGGAATACAG ACCGTAAAGTAATTACAGATGCTTATATTCAAACCGGGGCAACGACAGTTTTTACAGTAA CGGGGGCGGCACCAACTCACGTTTCTAATGTAACAGCGTTTGACATAGCAACTACGGCTA TTTTATTTGGGGCTCCTTTGGTTATTGCCATGGAACTTACATCCGTTTTTTCACAAAATT CCGGACTTACTTTGGGGTTAAAATTATTCGATTCCCGGCATATGGCTACAGATTCGGGTA TATCCTCAGCCGTATCTCCCGATATTGTTTCTTGGGGGTTACGTTTACTGCATATGGATC CTCACCCAACTGAAAATGCATGTTTAACTGTCCAACTAGAAAAACTGTCCGCGCTCATTG CAAACAAACCTCTTACAAACAATCCCCCGTGTTTACTGCTATTGGACGAACATATGAATC CCTCTTATGTTTTATGGGAACGAAAAGACTCGATTCCAGCTCCGGATTATGTGGTCTTTT GGGGGCCAGAATCTCTTATTGATTTGCCGTACATCGACTCCGATGAGGACTCTTTCCCCT CGTGTCCCGATGATCCATTTTACTCGCAAATTATTGCCGGTTATGCGCCCCAAGGCCCCC CAAACCTCGACACAACTGATTTTTACCCAACGGAGCCACTATTTAAGTCTCCCGTTCAAG TTGTTAGAAGTTCCAAATGTAAAAAAATGCCCGTCCGGCCCGCGCAGCCCGCGCAGCCCG CGCAGCCCGCGCAGCCCGCGCAGACCGTCCAGCCCGCGCAGCCCATAGAACCGGGCACAC AAATAGTGGTACAAAATTTTAAGAAACCCCAAAGCGTAAAAACAACCCTTAGCCAAAAAG ATATTCCCTTGTATGTGGAAACCGAATCAGAAACGGCTGTGCTTATACCTAAGCAATTAA CCACCTCCATTAAAACAACCGTTTGTAAAAGTATTACCCCACCAAATAACCAATTGTCGG ATTGGAAAAATAATCCACAGCAAAACCAAACGTTAAACCAAGCGTTCAGTAAACCAATAC TTGAGATTACCTCCATTCCGACAGATGACTCGATATCTTACCGGACTTGGATTGCGGCAT CAAAATGACCCTCGAATGTATAACTCCAAAACAGTATTCCACCCTGTAAATAACCAATTA CCTTCTTGGGTTGACACGGCAGCCGATGCCCCCCAAACGGACCTATTGACAAACTATAAA ACAAGACAGCCGTCGCCAAACTTTCCGCGGGACGTACACACATGGGGCGTATCTTCTAAC CCGTTTAACTCACCGAACAGAGACCTATATGAAAGTGATTTTAGTGAACCTTCTGACGGC TATAGCAGTGAGAGTGAAAATTCTATCGTACTAAGTCTCGACGAACATCGGTCATGTCGC GTTCCTAGGCACGTACGCGTTGTTAATGCCGATGTAGTCACCGGTCGACGTTATGTCCGA GGGACCGCCTTGGGAGCACTGGCCCTGTTAAGCCAGGCATGTCGGCGTATGATCGACAAC GTTAGATATACACGTAAACTTTTAATGGACCACACGGAAGATATATTTCAAGGCCTGGGG TATGTTAAATTGTTATTAGATGGAACATATATATAAAGTAGCGCCCGATTATTTTCTGTG TATTTTTATTTACACCCTACGACTTCTTGAAGCGTTTCCAGATTGTCCCGTGTGTGACAA GGTCTGTCCCTTACCCCCCTGGGGGGTATTTTGGGTTGGGGGCGGGGTAGACTGTGGCAC GCCTTGGGCCGCGGGCGGTGATCCGGTTGTTGGCTGGACAGTGCTTGACTGTGCTCCCTG TTGCGGTTGTTGTCCAGAAGACCCCGACACCACGTGTTGCTGTTGTCCAACGGATGCCGA CGTCGTTTGAGGTGGGGGGTGTTGCGGGGATGATCCCGAAAACGCCAACGCGGCGGGCTG TTGTAAAGCAGACTGATCGGCGCTCTGTGTTTTTTGCGGCAATATAGTAGGCCCCGAGAT TCCCAAACTCATGGATGGATTTGGGGGTTGTGGTCGTATAATACGCGGGTTAAACGTACG TTTTAAGCCAACCGTTGGTCTTAACCATGTCATAGGGTCAGTCTCGGCAAACATGGCCGT TCGGCGTATCGTATTTGCATTATGGTTAGCGCGTGCACGCGCGGCACTGGCCGCGGCTCC CACGGTGTAAATGCTTCTGGCATCAGCGATGTCCACACGGTGACCAGGTTGCAAAGGTCC ACTGGCGTTTAAAAGTCGTATTAAAGCAACGGGGGTGTAAGCCGCAATTGCTTCCACCGA AAATGTGGTGGGGTTGCTGGGATCAAAGACTACACGAGACGATGCGGGTTGTGTCATCGT TTATTAGTTTACGGGACAATCGATAACAGCATACACGTACATCTGCGCAGGATATGTACG GAAAGGCAATTTATTTCCAGAAAAGCACCGCCCCTAATACAACTACCAGTACAATTACAA CGAACAGGGCATATGTCACGTTAGCTACGGGTAGAGCAAGTTTCCAGACACGCGTAGTTT GGGTATCGGGTAACGCAGGTTTAATGTCACTTTGCATTTGAACAGACGTGTTTGGACTTC CGTTCTCGGGTGGGGATCTGAATGAAGGCCGCCAGCGTATATATTCATCCAAATTATTGC CAGTTTCCTTATACATGTATGCATCCGTGGCGCGGGCCATAAGTTTAATGGTGCGAGATG GATCTTCCGGTCCCATAAAACGAAAGGATAACTGAACATATGGCATTCGCACAAAGCAGT TCACCCACATTAAAGCCTGGAGAGGTCGGCGGTCAATACCCCCACCTCGTTTAATTGATT CCAAAGCAGATAGGTTGATACCGGTACTTAACGTTGAACTAAGAATCACGTTATTACTGT CAATGGACACTTCAGCCACTGGTGCGTTAGTCGGACGAAAAAAAAAACCTTGAAATAGCA CAGACACCCCCGTATTTTGAATTTTTATGTAAGGGTCACAATCTACTTGCGCCCAATTCG CCATTAAACGCATAATATACTCTACCGGAAAGGCTTCGGATACGTTGTCTTCGCCGTTAA ACTGAAAAACACAACGGGCGGGGGGGCGTTGTGGATCAAATATTGGAAGATCCCCATCGC AACATTGAAGAGCGCTTGGTACCACCAACCGAATACGTTGTAAAAGATTATCTCCGCAAC CCCTCCTGCGTTCACTCCGTACATACGTTCTCCGTGACATATTGATCTAAGGTTGCAAAC CAAGGCACACGCGTGAAGTATTTAGACCATTTATCGTGGGATATAGGAGGAGTTTGGAGT GATCCACCCCCTGACGACTTATTAATGCGTTTATTTTCCCCATGTATTAAGCATCCTTCA ATATTTCATGCAAATCTAGAAATTTGGCCATGACTCCCGCAAAGCGTTCACGGCGACGGG TCACGCTGGCACTATGTTCACATGGAACAACATAAGCAGATTTTTCTGAATCGTTACTTT CTTTATGTTTTAAAACGGACGCCAGGCGACTGGTAAATGATATATAATTTAATTGAGCGT CAGTTGTAGGTAGAATTGCTTCTATTTCCGGGGGAATTAAATTTTCAAACCAAACGGAAA GAGTAAAGGTGCTATCAGCAGGAAAATACTTTGACTCCAGTGCATCGATATTTAATAGAT TAACATCGGTGTCTGTAATTAAATCGCGGGCCCTCATCCCAGAGATGGATCGGGTAGAAT CAGAAGAACCCATGGATGGATTCGAATCGCCCGTATTCTCCGAAAATACATCTTCTAATT CCGGATGGTGTTCCGACGCATTTTCCGATTCGTACATCGCTTATAATCCAGCCCTTCTGC TAAAAAACGATTTGTTATTTTCAGAATTGTTATTTGCCTCCCACTTAATAAATGTTCCCC GTGCAATAGAAAACAACGTCACTTATGAGGCCTCTTCGGCGGTAGGTGTGGATAATGAAA TGACCTCAAGTACCACTGAATTTATAGAAGAAATTGGAGACGTTTTGGCGTTAGACAGAG CCTGTTTGGTCTGTAGAACGCTTGATTTGTATAAACGTAAATTTGGACTGACACCGGAAT GGGTTGCGGACTACGCCATGTTATGTATGAACAGTTGTCACTTTTAGCGCTGCCTTTGAA TTTGTGTATCTTATGGATCGTTACTACCTGTGCCGTTATAACGTTACTTTGGTTGGGTCC TTTGCCAGGCGCACGCTTTCCCTGTTAGATATACAAAGACATTTTTTTTTGCATGTATGT TTTCGTACCGATGGAGGGTTACCAGGTATACGACCGCCCCCCGGTAAGGAAATGGCCAAC AAAGTAAGATATTCCAATTACTCCTTTTTTGTACAGGCGGTAGTTAGGGCTGCATTACTA TCGATCAGCACGTCTCGTTTAGACGAAACCGAAACGCGTAAGTCATTTTACTTTAATCAG GACGGACTGACTGGAGGCCCTCAACCTTTAGCGGCCGCCTTGGCTAATTGGAAAGATTGC GCGCGGATGGTTGACTGTTCATCATCGGAACATCGCACAAGTGGGATGATTACCTGCGCG GAACGTGCATTAAAAGAGGATATAGAGTTTGAAGATATATTAATAGACAAACTTAAAAAA TCGTCTTACGTAGAAGCAGCTTGGGGTTACGCAGACTTGGCTTTATTATTACTGAGTGGG GTTGCTACTTGGAATGTAGACGAGCGTACAAATTGTGCTATAGAAACTCGCGTTGGATGT GTTAAATCATACTGGCAGGCGAACCGGATTGAAAACTCCAGGGACGTTCCAAAACAATTT TCCAAATTTACGAGCGAGGATGCCTGTCCCGAAGTAGCATTTGGGCCTATTTTGTTAACT ACCTTAAAAAACGCAAAGTGCCGTGGTCGCACGAATACCGAATGCATGTTATGTTGTTTA TTAACCATAGGGCACTATTGGATCGCTTTGCGGCAGTTTAAAAGGGATATATTAGCATAC TCAGCAAATAACACAAGTTTATTTGACTGTATCGAACCTGTAATCAATGCATGGAGCCTA GATAACCCCATTAAACTTAAATTTCCATTTAATGATGAGGGTCGATTCATAACCATTGTA AAAGCAGCAGGTTCCGAGGCCGTATATAAACATTTGCAAAATAAATGTTTATATACGGCC TCGGAATTACAGACAAACCCTAAAATTTTATTTGCCCATCCTACAACCGCGGATAAGGAA GTGTTGGAGTTATATAAAGCCCAACTGGCTGCACAAAACAGATTTGAAGGTCGTGTATGT GCTGGCCTGTGGACATTGGCGTATGCATTTAAAGCCTACCAGATTTTTCCACGCAAACCA ACCGCCAATGCCGCATTCATACGAGATGGAGGACTTATGCTTCGACGACATGCAATATCG CTGGTCTCCCTCGAACACACCCTATCGAAGTATGTCTAGGCGATATAAATCCGTATCTCG GAGCGGGCCTTCGATGCGTGTACGCTCCAGAACGCCATGCCGCCGTCAAACCATTCGAGG AAAACTTATGTCAAAGGAGCGGTCTGTGTACCGCCATTATTTTAATTACATCGCAAGGTC CCCCCCAGAAGAACTAGCTACCGTTAGAGGCTTAATCGTGCCAATTATTAAGACGACCCC TGTCACCCTTCCGTTTAACTTGGGTCAGACAGTGGCGGATAACTGCCTGTCGTTATCCGG AATGGGTTATCATTTAGGTCTCGGAGGTTATTGTCCGACATGCACTGCATCTGGAGAACC GCGTCTATGTCGAACCGATCGGGCGGCTCTGATACTAGCATATGTTCAGCAGCTTAACAA CATATACGAATATCGTGTGTTTCTTGCATCCATTTTGGCGCTATCAGACCGAGCCAACAT GCAAGCAGCGTCCGCTGAACCCCTATTGTCGAGCGTATTGGCACAACCGGAATTATTTTT TATGTATCATATTATGAGGGAGGGGGGCATGCGAGATATACGCGTACTTTTTTATCGTGA TGGAGATGCCGGAGGGTTTATGATGTATGTTATATTTCCGGGGAAATCTGTTCACCTCCA TTACAGACTAATCGATCATATACAGGCCGCGTGTCGGGGGTATAAAATAGTCGCACACGT TTGGCAGACAACATTTTTACTGTCGGTATGTCGCAACCCAGAACAACAAACAGAGACTGT GGTGCCATCCATTGGAACATCGGACGTTTACTGTAAAATGTGTGACCTTAACTTTGATGG AGAATTGCTTTTGGAATACAAAAGACTCTACGCATTATTTGATGACTTTGTTCCTCCTCG GTGATTTCAGCTTCAGTGTTCATTTTATTATCCCAGCACGGGGCGTGTATACAAACAAAG CCTGCCGCCTGCAAGCGGTTTAGCATTTTAACGTTAACAACTCGTGTCTCTGGAATAAAA CGTTTTAAAAGCCGTTCTGTGAGTTTAGTGTCGTTTCCAAATAACGCCTTAAAAGTTACA CTCGCCGTCCCAATGAGATGAGAAAAATAATAGTCAATGTTTAAAGACAGCCCGTGTGAT GTTACGTGAATGGGATCTTCCGCTAAGTCAGATATTATTAACTTACGCTTTGCTTCCCCA CACCGTTTACCTGCGGTATTCTGTAAAGGATCTCCACGTAGCAAAGCTACACTTTTTGCA TCAGCCTCCACTTCGTCTGTGGGGGCCACAATAACATAAGGGATGCGTTCTCGAACGTTT GGGATTTGACCCTGTCTCATTACTAATTTATAATATACTGTTAAGTGAGCCAAGCGACGG TTTATGTAGGCGGATGGTGGACGACTAAGCTCGGCCGTCATAACAAACTTATTAATATCC AATTTGGGTGATGTAATCTGGCGATGTGCATCTGCAATTATGCGTCCAAACCCGGCCATC CCAGACGGCATGGCCCGTCTATTCCATTCAGCAATGGAAACACACGACGCCTCCGCCGCA GCACGCGAGACGGTGTCGTCATATAACAACAGTTCTACAAGTTTGCGGGCATAATCGTTA ATAAATTGACAGTTGTTTTTTCTAACCAAGTCGACTCCCTTCATTAAAACCTTTCCGCCG TAAATTACCCCAATGTACTTTTTCTTTGTTATAAGCAAAAGTTTTATAAAAGTTTTTTCA CACTCCAACTTTATAGGAGGACAAAACAGAGCCGTTGAAATTATATGTGCCATTTTCTCG CCGATTTTAGCTATCCCCTCAACACCAACACCCTTGAATCGGATAAACACAGAATCCGTA TCTCCATATATAACCTTTACCTCGTACGCTTTTTGGGAGAGAACGCTACTTTCAATGTCT GGAAACGCTGTAATAAAACGTTCAAATGCGGCCCAGTTATTATGAATATAATCTCTGGTA CTTAATAACATTTGACGGCCAATTGTAGTGACAGTGGCCGCTACGTATAAACATGGCAGA AATCCCTGCGCAACTCCAGTAAAACCGTACACGGAATTACAAACTACTTTTATCGCGGCT TGTTGTTTGTCTAATAACACTGCTTCATCTGAAGAACTTCCGGGTATGCGCGCTCTAATA GCCTTGCGCATAGCCAACCAGTCTTTTAAAAGAACACCCAGCAGACTTTCTCGAACGTTA GAGCGCACAAAAAAAAGACGTTTTCCTCCAACTGTAAAGGTGGCATAATCGGATGGATTC AAACGTTTAACCGTCTCAAAATTTAACGTTAGCGTGGTAAAACATAAGTTATGGGCCTGA ATTATACTTATACGACCACCGGATCGATATAAAATCCCGTATCAGGGTCAAAAACCCTGG CTCCTTTATATCCTACATTTCGCCCACTTGACGTACCAGTGGGAGAAACGCTCTCGTCTT CATCCATCTCTTCCTCAACATCCCCGACATCGGGAATAACATCCTTATATTCAAAAGTAG CTGGGTATCCCCCATCGGGTAAAATAAATCCTCGAGACGAAGCCAGTCCTAATAAACAGG TGTAAATCCTAACCTGCTGTCCGTCGTAAATAGCCTTGGTTAAAGTAATTCTAGCTAGCC TTGCAACCGCGGATAACTCAAGGTGTGGTAAATATTTAAAAAACAGTTTCCCCACAAGAG CCGAGTCTTGTATACAATATTCACCAATAATTCCTCGTGTATTCGGTCCACTAGCGTAGT ATCCCGGAATGTCTTTGTAGGGCAAATCTCTCTTGGACTCATTTAGAGCTTCACGTGCAA CCGAATCTAATTTATAACTCGAGAGTTTTAATTTTTCAGTTGCAATTGCATACATATCCA GAGATATGAGACCGTTGATCTTTACCTTGCTTCGTCGCTGAAATCCGGATTTGCCAACAT CCCATATCTTAAACAGACCCCCACGGTTTATACTGCCATAACCATCAAGCTTGAGACTGT ATATAGAATTAAGTTTCTCCATAATAAACGCCCAATCAAAATTAACAATGTTATAACCTG TGGCAAACTCGGGAGCGTACTGTTTTACGAGGGTCATAAATGCAATTAATAGCTCGAATT CACTATCAAACTCCAGCACAGTCGGCTCCGGTAACCCCGCGTCCTTCATTTCTTGTACAT ACCTTTGTGGTAAGTCACAAGAGCCAAGGGAAAACAGTAAAATGTGTTCTAAAGACTGTC GAGGGATTGAATATAATAGACAAGAAATTTGGATTACAAGATCCTCCAGATGTGTTGCAT CGGGAAACGCCAGCTCATTAGATCCTCCTGATTTACATTCAATATCGAAACATAACAACT TGTAGTCAGGCCATGAGTCATCGTTTGGTATAGCCTGCAGATTATCCGACATGCAGTCAA TTTCAACGTCGCTTAACGTTAATTGGCGACTTGCCGGTCGAACTCGAACACGTTCCCCAT CAACTCCAGGTTTTAGTTGATACCAACCAAAACTAACAAAGCCGGGATTATCCATTAGAA AACGAGTGGTAGCGTCTACCCGACCTTCATACTTTTTCAACTCCGGGTGAAAGTTATCAC AAAGATAATTTGTAAATTTAGATGAGGGAGAATACACCCTGTAAAACGCACATGGCTGTG TATCGTAGTAATAAACATCTGTGCGCTCAATAACCTCAACGCGAAAGCTTTCTGGAGATG CGCTTTTAAACGAGGTACCATGAAAAGCGTTCTTGTCTCCATTTAACGTTGCATCATTTT GTGTTATCATAGAACTGCGTAAACACTCGGCAAGTAATACAGATAACTCGCTACCGGAAC GTATGCCACAAGCGGTATCCACCTCGGCTTTGTTTATATAAAAATATTGACAGATGCCGT ATACATGAACTGCCACCCTTTTTCCACATCGGGACATGCCAAGTAAAGTAATAACGGTAC CAAGCGGTCGTGTTGCAGTTGCAAACCGGGATACATCTCCATTAGACGCGGCTTCTGTTG TTTCGACAATATCATATACATGGAATGTGTTAAAGCGGGGGTCAAACTTATCCCCACGAA AGTCGATTTCCCCCCAAATATTCACGCGTCTAGGCCAGGGGCTGGAACAACGAAAATCCA GAATCGGAACTTCTTTTCCATTACAGTAAACTTTAGGCGGTCGACTAAGTGTACCGACGT GAACCCCCTTTCGTTCTTCCATGGGCACATCTTCATCTAAACATTTAGGGGCCAAAAATT GAAACGATGACATGGTAGTTTTGTAACTATGAAGAAATTCTCTGTTACTACCGCGCCCGG TTCTTGGGTTATATGTAATCCCTTTTTAACCCAAGCATCAGGGATTAAATATAACCCAAG AACCGGGCGCGGTTTCCGCATATGTAATACCCGTTTAAAAGCCTCTCTTCTTAATGTATC GACAGACTGGGTTTTGGGTGGTCATTTGACCCTGCCAACAACCCCCCATTATTACGAGTA CTTCACCAAAATGGAAAATACTCAGAAGACTGTGACAGTGCCCACGGGGCCCCTGGGTTA CGTTTATGCGTGCCGGGTTGAAGATTTGGATCTGGAGGAAATTTCATTTTTGGCCGCTCG TAGCACGGACTCTGATTTGGCTTTATTACCTTTGATGCGTAATTTGACCGTGGAAAAAAC TTTTACATCCAGCCTGGCGGTGGTTTCTGGAGCACGCACTACGGGTCTTGCCGGAGCTGG TATTACCTTAAAACTCACTACCAGTCATTTCTATCCATCTGTCTTTGTCTTTCACGGAGG CAAACACGTTTTACCCAGCTCCGCGGCCCCAAATCTCACACGCGCGTGTAACGCGGCTCG AGAACGGTTTGGGTTTTCACGCTGCCAAGGGCCTCCTGTTGACGGTGCTGTTGAGACGAC CGGCGCTGAGATATGCACCCGCCTTGGATTAGAGCCAGAAAATACAATATTATACTTGGT GGTCACGGCATTGTTTAAGGAAGCCGTATTTATGTGCAACGTGTTTCTGCATTATGGAGG ACTCGATATTGTTCATATTAACCATGGGGATGTTATACGTATACCGTTATTTCCGGTACA ACTTTTCATGCCCGATGTTAACCGTCTGGTACCCGACCCATTCAACACTCATCACAGGTC TATCGGAGAGGGTTTTGTATACCCAACACCCTTTTATAACACCGGGTTGTGCCATTTAAT ACATGACTGTGTTAAATGGCACAACCCGGTGTTATTGCTCCCATGGCCGTTGCCTTGCGC GTCAGAAATGTAACTGCCGTCGCCCGAGGAGCGGCCCACCTTGCTTTTGATGAAAATCAC GAGGGGGCAGTACTCCCCCCTGACATTACGTACACGTATTTTCAGTCCTCTTCAAGTGGA ACCACTACCGCCCGTGGAGCGCGTCGAAACGATGTCAACTCCACGTCTAAGCCTAGCCCA TCGGGGGGGTTTGAAAGACGGTTGGCGTCTATTATGGCCGCTGACACAGCCTTGCACGCA GAAGTTATATTCAACACTGGAATTTACGAAGAAACTCCAACAGATATCAAAGAATGGCCA ATGTTTATAGGCATGGAGGGCACTTTGCCAAGGCTAAACGCTCTGGGGTCATATACCGCT CGTGTGGCCGGGGTCATTGGTGCGATGGTTTTCAGCCCAAATTCTGCGTTGTATCTAACT GAGGTGGAGGATAGCGGGATGACCGAAGCCAAGGATGGGGGACCGGGTCCATCATTTAAT CGATTTTACCAGTTTGCCGGACCTCATTTAGCTGCGAATCCCCAAACAGATCGAGATGGC CACGTTCTATCCAGTCAGTCTACGGGTTCATCAAACACAGAGTTTAGCGTGGATTATTTG GCACTCATTTGTGGATTTGGAGCACCCCTGTTGGCGCGACTGCTTTTTTATCTAGAACGC TGTGACGCTGGTGCGTTTACAGGGGGTCACGGGGATGCGTTAAAATATGTTACGGGGACC TTTGACTCTGAAATTCCATGTAGTTTATGTGAAAAACATACGCGGCCGGTATGCGCTCAC ACAACAGTACACCGACTTAGACAACGCATGCCGCGATTTGGACAAGCCACCCGTCAACCT ATTGGGGTGTTTGGAACAATGAACAGCCAATATAGCGACTGCGATCCTCTAGGAAACTAT GCTCCATATTTAATCCTTCGAAAACCCGGGGATCAAACGGAAGCAGCAAAGGCAACCATG CAGGACACTTATAGGGCTACACTAGAACGCTTGTTTATCGATCTAGAACAAGAGCGACTA CTGGATCGCGGTGCCCCATGTTCTTCCGAGGGACTATCGTCTGTCATTGTGGATCATCCA ACGTTTCGTCGCATATTAGACACACTGCGTGCGCGTATAGAACAGACAACAACACAATTT ATGAAAGTGTTGGTTGAGACCCGCGATTATAAGATCCGTGAAGGATTATCCGAAGCCACC CATTCAATGGCGTTAACGTTTGATCCATACTCAGGAGCATTTTGTCCCATTACCAATTTT TTAGTTAAACGAACACACCTAGCCGTGGTACAAGACTTAGCATTAAGCCAGTGTCATTGT GTATTTTACGGACAGCAAGTTGAGGGGCGGAACTTTCGTAACCAATTCCAGCCTGTTTTG CGGCGGCGTTTTGTTGACCTGTTTAATGGGGGGTTTATATCAACACGCTCTATAACCGTA ACATTATCTGAAGGTCCTGTACGTACCTTTGATGGGGATTTAGCGCGCGTAAGCGTGGAA GTTATTCGGGATATACGAGTTAAAAATAGGGTCGTTTTTTCAGGTAACTGTACAAATCTC TCTGAGGCAGCCCGGGCAAGGCTTGTAGGCCTTGCAAGTGCGTACCAACGCCAAGAAAAA AGAGTGGATATGTTACACGGGGCCCTAGGGTTTTTGCTTAAACAGTTTCACGGCCTGTTA TTTCCTCGGGGTATGCCACCAAACAGTAAATCCCCCAACCCGCAGTGGTTTTGGACCCTG TTACAACGCAACCAGATGCCGGCAGATAAACTTACACACGAAGAGATTACCACTATTGCA GCTGTTAAACGGTTTACCGAGGAATATGCAGCAATAAACTTTATTAATCTACCCCCAACC TGCATAGGAGAATTAGCCCAGTTTTATATGGCAAATCTTATTCTTAAATACTGCGATCAT TCACAGTACCTTATAAATACCTTAACTTCTATAATTACGGGTGCCAGGCGCCCGCGTGAC CCATCATCCGTTTTGCATTGGATTCGTAAAGATGTCACGTCCGCCGCGGACATAGAAACC CAAGCAAAGGCGCTTCTTGAAAAAACGGAAAACTTACCGGAATTATGGACTACGGCTTTT ACTTCAACTCATTTAGTCCGCGCGGCCATGAATCAACGTCCCATGGTCGTTTTAGGAATA AGCATTAGTAAATATCACGGAGCGGCAGGAAACAACCGCGTCTTTCAGGCAGGGAATTGG AGCGGTTTAAACGGGGGTAAAAATGTATGCCCGCTATTTACATTTGATCGCACTCGCCGT TTTATAATAGCATGTCCTAGAGGAGGTTTTATCTGCCCCGTAACAGGTCCCTCGTCGGGA AATCGAGAAACCACCCTATCCGACCAAGTTCGCGGTATAATTGTCAGTGGCGGGGCCATG GTTCAATTAGCCATATACGCCACGGTTGTGCGTGCAGTGGGCGCTCGAGCACAACATATG GCATTTGACGACTGGTTAAGTCTTACAGACGATGAGTTTTTAGCCAGAGACTTGGAGGAG TTACACGACCAGATTATCCAAACCCTGGAAACGCCCTGGACCGTAGAAGGCGCTCTAGAA GCCGTAAAGATTCTAGATGAAAAAACGACAGCGGGAGATGGGGAAACCCCCACAAACCTA GCATTTAATTTTGATTCTTGTGAACCAAGCCATGACACCACATCTAACGTATTAAACATT TCAGGGTCAACTGTCCCTGGTCTTAAACGACCCCCCGAAGATGACGAACTCTTTGATCTT AGTGGTATTCCCATAAAACATGGGAACATTACAATGGAAATGATTTAACCTCCCTCTTTA TCCAATTAAAGCCCACACGCGGGTGAGTGTACGTAATAAACAAGTCAATATTACATATTC TGTTGTGTTTTCTTTTTTGCGTGTAGTCCTTACCCATATGACCTGTAATATAGTGTGTCT ATTCAGCTTACAGTCCAGTGGACAGTAACAGCCCGATAACATGGAATTGGATATTAATCG AACATTGTTGGTTCTACTGGGTCAAGTTTATACGTACATCTTTCAGGTTGAACTGCTACG TCGCTGTGATCCAAGGGTGGCGTGTCGCTTTTTATATCGGTTAGCGGCTAACTGTTTGAC AGTTCGTTATTTATTAAAGCTGTTTCTCCGGGGATTTAATACCCAGCTAAAATTTGGAAA CACTCCCACGGTTTGTGCACTGCATTGGGCATTATGTTATGTAAAGGGAGAAGGTGAGCG TTTGTTTGAGTTGCTACAACATTTTAAAACGCGTTTTGTTTATGGTGAGACCAAAGACTC AAACTGTATCAAAGATTACTTTGTCTCAGCGTTTAACTTAAAAACCTGCCAATATCACCA TGAGCTGTCGTTAACAACATACGGAGGTTACGTATCGAGTGAAATTCAGTTTTTACACGA CATTGAGAATTTTTTAAAACAGCTTAATTACTGCTATATTATCACGTCTTCTCGTGAGGC GCTAAACACATTGGAAACCGTGACGCGGTTTATGACAGATACTATAGGAAGCGGTCTAAT ACCACCCGTGGAGTTGTTTGATCCGGCGCATCCATGTGCTATATGTTTTGAAGAATTATG TATAACAGCTAACCAAGGTGAGACCTTACATCGTAGATTATTAGGATGTATCTGCGATCA CGTTACTAAGCAAGTTCGGGTTAACGTGGATGTTGACGATATTATTCGGTGTTTACCATA TATCCCTGATGTACCGGATATCAAACGTCAATCCGCCGTTGAAGCGTTACGAACACTTCA AACCAAGACGGTAGTCAATCCCATGGGAGCAAAGAACGATACGTTTGACCAAACATACGA AATTGCGAGCACCATGCTTGATTCTTATAATGTTTTTAAACCTGCCCCTCGGTGTATGTA CGCCATCAGCGAGCTTAAATTCTGGTTAACGTCTAATTCCACTGAAGGACCCCAACGTAC TTTAGACGTGTTTGTTGATAATTTGGATGTATTAAACGAACATGAAAAACACGCAGAACT TACAGCCGTAACGGTTGAGTTGGCGTTATTTGGAAAAACTCCCATACACTTTGATAGGGC GTTTTCTGAAGAACTCGGATCTCTGGATGCAATTGATAGTATTTTGGTTGGCAATCGCTC ATCCTCACCAGACAGTCAGATAGAAGCATTAATTAAAGCCTGTTATGCCCATCATCTATC GTCGCCTCTCATGCGTCACATTTCTAACCCGAGTCATGATAACGAAGCCGCCTTACGCCA ACTTTTAGAAAGAGTTGGGTGTGAGGATGATTTAACCAAAGAGGCGAGTGACAGCGCTAC AGCATCCGAATGTGATCTGAACGATGATAGTAGCATAACTTTTGCTGTTCATGGATGGGA AAACCTGTTATCCAAAGCAAAAATTGACGCTGCGGAAAGAAAACGAGTATATCTTGAACA TCTGTCTAAGCGCTCTCTAACCAGCCTCGGTAGATGTATCCGCGAACAGCGCCAAGAGCT AGAAAAAACACTCAGGGTAAACGTTTATGGAGAGGCCTTATTGCAGACATTTGTTTCGAT GCAAAATGGGTTTGGGGCACGAAACGTGTTTTTAGCTAAGGTTTCCCAGGCAGGGTGTAT TATCGACAATCGCATTCAGGAAGCGGCCTTTGATGCACATAGATTTATAAGGAATACCTT AGTTCGACATACAGTAAGTGCAGGTAACATAGCCCATTGTTTAATCACGATGAACACCGT TTTGCACAACCCCCTAACACCGCCTTATTTTTTACCGTGGAAAACGTTGGCCTATTTCCG CACTTAAAAGAGGAATTGGCAAAGTTTATGGGCGGTGTCGTTGGTTCCAACTGGCTTCTC AGTCCATTTAGGGGCTTTTATTGCTTTTCTGGGGTAGAAGGCGTTACTTTTGCACAGAGA CTTGCCTGGAAATATATTAGGGAGCTTGTGTTTGCAACCACACTATTCACCTCTGTTTTC CATTGTGGGGAGGTGCGGTTATGTCGCGTTGACCGTCTAGGTAAGGATCCACGCGGGTGC ACGTCTCAACCTAAAGGTATAGGCAGTTCCCACGGACCCTTAGACGGCATTTATTTAACG TACGAAGAAACATGTCCCCTTGTGGCTATTATTCAAAGTGGAGAAACAGGGATCGACCAG AATACCGTCGTAATCTACGATTCAGACGTTTTTTCTCTTCTATACACCCTAATGCAGCGG CTGGCTCCGGATTCAACGGACCCGGCGTTTTCATAACCTCCGTTACGGGGGTGTGGTTAT GCTTTTTATGCATATTTTCTATGTTTGTTACGGCGGTTGTGTCGGTCTCTCCAAGCTCGT TTTATGAGAGTTTACAAGTAGAGCCCACACAATCAGAAGATATAACCCGGTCTGCTCATC TGGGCGATGGTGATGAAATCAGAGAAGCTATACACAAGTCCCAGGACGCCGAAACAAAAC CCACGTTTTACGTCTGCCCACCGCCAACAGGCTCCACAATCGTACGATTAGAACCAACTC GGACATGTCCGGATTATCACCTTGGTAAAAACTTTACAGAGGGTATTGCTGTTGTTTATA AAGAAAACATTGCCGCGTACAAGTTTAAGGCGACGGTATATTACAAAGATGTTATCGTTA GCACGGCGTGGGCCGGAAGTTCTTATACGCAAATTACTAATAGATATGCGGATAGGGTAC CAATTCCCGTTTCAGAGATCACGGACACCATTGATAAGTTTGGCAAGTGTTCTTCTAAAG CAACGTACGTACGAAATAACCACAAAGTTGAAGCCTTTAATGAGGATAAAAATCCACAGG ATATGCCTCTAATCGCATCAAAATATAATTCTGTGGGATCCAAAGCATGGCATACTACCA ATGACACGTACATGGTTGCCGGAACCCCCGGAACATATAGGACGGGCACGTCGGTGAATT GCATCATTGAGGAAGTTGAAGCCAGATCAATATTCCCTTATGATAGTTTTGGACTTTCCA CGGGAGATATAATATACATGTCCCCGTTTTTTGGCCTACGGGATGGTGCATACAGAGAAC ATTCCAATTATGCAATGGATCGTTTTCACCAGTTTGAGGGTTATAGACAAAGGGATCTTG ACACTAGAGCATTACTGGAACCTGCAGCGCGGAACTTTTTAGTCACGCCTCATTTAACGG TTGGTTGGAACTGGAAGCCAAAACGAACGGAAGTTTGTTCGCTTGTCAAGTGGCGTGAGG TTGAAGATGTAGTTCGCGATGAGTATGCACACAATTTTCGCTTTACAATGAAAACACTTT CTACCACGTTTATAAGTGAAACAAACGAGTTTAATCTTAACCAAATCCATCTCAGTCAAT GTGTAAAGGAGGAAGCCCGGGCTATTATTAACCGGATCTATACAACCAGATACAACTCAT CTCATGTTAGAACCGGGGATATCCAGACCTACCTTGCCAGAGGGGGGTTTGTTGTGGTGT TTCAACCCCTGCTGAGCAATTCCCTCGCCCGTCTCTATCTCCAAGAATTGGTCCGTGAAA ACACTAATCATTCACCACAAAAACACCCGACTCGAAATACCAGATCCCGACGAAGCGTGC CAGTTGAGTTGCGTGCCAATAGAACAATAACAACCACCTCATCGGTGGAATTTGCTATGC TCCAGTTTACATATGACCACATTCAAGAGCATGTTAATGAAATGTTGGCACGTATCTCCT CGTCGTGGTGCCAGCTACAAAATCGCGAACGCGCCCTTTGGAGCGGACTATTTCCAATTA ACCCAAGTGCTTTAGCGAGCACCATTTTGGATCAACGTGTTAAAGCTCGTATTCTCGGCG ACGTTATCTCCGTTTCTAATTGTCCAGAACTGGGATCAGATACACGCATTATACTTCAAA ACTCTATGAGGGTATCTGGTAGTACTACGCGTTGTTATAGCCGTCCTTTAATTTCAATAG TTAGTTTAAATGGGTCCGGGACGGTGGAGGGCCAGCTTGGAACAGATAACGAGTTAATTA TGTCCAGAGATCTGTTAGAACCATGCGTGGCTAATCACAAGCGATATTTTCTATTTGGGC ATCACTACGTATATTATGAGGATTATCGTTACGTCCGTGAAATCGCAGTCCATGATGTGG GAATGATTAGCACTTACGTAGATTTAAACTTAACACTTCTTAAAGATAGAGAGTTTATGC CGCTGCAAGTATATACAAGAGACGAGCTGCGGGATACAGGGTTACTAGACTACAGTGAAA TTCAACGCCGAAATCAAATGCATTCGCTGCGTTTTTATGACATAGACAAGGTTGTGCAAT ATGATAGCGGAACGGCCATTATGCAGGGCATGGCTCAGTTTTTCCAGGGACTTGGGACCG CGGGCCAGGCCGTTGGACATGTGGTTCTTGGGGCCACGGGAGCGCTGCTTTCCACCGTAC ACGGATTTACCACGTTTTTATCTAACCCATTTGGGGCATTGGCCGTGGGATTATTGGTTT TGGCGGGACTGGTAGCGGCCTTTTTTGCGTACCGGTACGTGCTTAAACTTAAAACAAGCC CGATGAAGGCATTATATCCACTCACAACCAAGGGGGTTGGGTTTCTCGGCAAAGGAATGG ATCCCTTTGCCGAGAAACCCAACGCTACTGATACCCCAATAGAAGAAATTGGCGACTCAC AAAACACTGAACCGTCGGTAAATAGCGGGTTTGATCCCGATAAATTTCGAGAAGCCCAGG AAATGATTAAATATATGACGTTAGTATCTGCGGCTGAGCGCCAAGAATCTAAAGCCCGCA AAAAAAATAAGACTAGCGCCCTTTTAACTTCACGTCTTACCGGCCTTGCTTTACGAAATC GCCGAGGATACTCCCGTGTTCGCACCGAGAATGTAACGGGGGTGTAAATAGCCAGGGGGT TTGTTTTAATTTATTAATAAAAATGTGTATTACGTTACTCATGTGTCTCCATTACGCATC ACAGGGGGTATTTATACCCGATAATATACAAAACGCGTTTTGTACCTCTACCGCACCCGA TATCTTAACGGGGTTATTATGGAATCGTCTAACATTAACGCGCTACAACAACCGTCGTCT ATCGCACATCATCCGTCCAAACAGTGCGCTTCAAGTCTCAATGAAACAGTAAAAGATTCT CCCCCCGCGATTTATGAAGATAGGTTAGAACACACGCCGGTACAATTACCCCGCGACGGT ACACCCCGAGACGTATGTTCTGTGGGACAGCTAACCTGTCGAGCATGTGCAACGAAACCT TTTCGCCTTAACCGCGACAGCCAATACGACTACTTAAACACATGTCCAGGGGGCCGTCAT ATTTCACTGGCACTGGAGATTATAACGGGTCGATGGGTTTGCATCCCGCGTGTGTTTCCG GATACCCCAGAGGAAAAATGGATGGCGCCATATATTATTCCAGACCGAGAACAACCATCA TCAGGGGATGAAGATTCTGACACCGATTAAATTTAACTTAAATAAAACCTTACCACCCAT AAAAACGCCTTCTGTTTGACACGACACCGCTTAACAAAAAAAAAAAAACCAAACACGCCT TTTATGAATGTAATACTTTTATTTGTTGGTTAACACCGCCCCACCATCATCTGATTTGCA AACATATCGGCGTCGTCTGCCGTGGACCCCTGTATTAAAGGGGCCTTGGAACTAGCCTCC ACTGCATTTACATCTTGTCCAACTGTATCTGTATGTGGGGTGCTTGTTGTATTTTGGGAT GAGCATAGACCCGAAACGCTTTGAAGCTGTTTTAATAAAATCGATATTCGAGGATCCCGT GTCCCCTCTGGTATATTTGTATGGTGCGACAAAGGCATTTGTGTCCCATTTTGTGATTTT AGCTCTGTAACCTCCTGTTGCAGTTTTGCCACAACCCCAGCAAGCTCTTCGTGCTGACCA TTAGAAACTCTGTGTCTCCTCTGCCAATATGATGGAGAAACTCGACGTCTCCGATGCGTT ATATACGTTGGTTCACCGGGAAAATATATATTTGAGGGAAACTCTCCGTCCATTTGAGAC TCCCCACTAGAAAAAGAATCCAATTCCCTTTGATCCATGCTCTTGAAATCCCGTTTTCCT GGACGACGGACATCGGTTTTGTCTGGAAAATTTACACACGGGGTCTGCAAGTCAATACCC CGTTCGGCGGCCAATGCGTTCATAAATGCGGACATTTGCATTTCCAAACGATTGGGTGGT GGATATCCCGGAAACCCGTACGGTCCCCCGAAGTGTCCCGGAGGGCAACCATAACCCCCT GTATTAGGTGGGAAGGCAGGCGGGTGTGGAGATCCATATGGCCCGACGATATACTGTCCG TTATTTGGAGCTCCAATTGATACCTGCGGATTTTTAGTCTGCCCGGTTAACAGCTGTGAA TAATACGCGGTAGGTATCAGTACAAATTCCCCTCCGGTTGGAACGCCCGACGGGGGCTGT GGTGAGATACCACTAGCGTTACCTGCTACAGAAGCCATATCGCTGTCGTTCCTACACAAC TGCGTAACCTTTAAATGCGGAACAGTCTTTTCACAATCTTCATTTGATTCCCCAACACCC AACGCGAGATCATGGGCCCGCCGGGGTGGAATGTGGCGTTTATAACACCCGCGTTGGGTA ATTTAGACTCCACCCCATTAACGTTGGTTATCCGAGCAAGTCCATATCCGGTGCTAGCCT GAAGATAAACGTGACCCATAATTCCGGCTTCGCGTCTACGTTTTGCAACCACGTCCCATC TATCTCTTAAAAGCATATTGTTCACGGCTGTGGATAATAACACCTTGGCGAGTTTATCTT CGCTAACCTTCCATACTTTATTTAAACCCGCGTAGTCTTTAACCAGCGACAATAACCGCG CTTTACTTTCCATCGATAAAACCCGGAATGGTTCAATTGAAGATTCCGGGGTACAGTCAT AATTGACCACTGTTCCAACGCGTCTTCCAACAACACATAACGCAACATGGGTAAAAAAAT TACCGTCTGGTATCTCATTCGGGGACAATCGTTTTGAAGACAGGGATACGGAGGGTAAGT AATTTGTGACCAAGTATAACGCACGTTCTAGCGGAGATAATACAGAATCTCTATTTCCAA AAAAATTCGAATGGGCCGCTTCAAACAGCACCGCATGTAGTTGAGGGCATCTAACGATAC CCAAAAAAAAAGGTCCGCGTATGTCCTCAATGATTGCGATTACTTCACCCACGACACAGT CTTTTCGATGATCGATGTTTATTGGTATTTTACTAGTAGGCGGCAAAGCGGACCGCACAA TCTCTGGGGTAATATTTAATTCCCCTTCGTCCTTTGAATATAAGGCTAAATACCCAGCCA CGTATAACGCTTCACAGTTCTCTTCGTCAGCTTCAGCAGCCATTATAAACACCCCACGGA CCGGATAGTGAATACTCACGGTGTGGAGGCAAACTGAGGAATGACACCCAAACAGACAAA ATATAGAAGATCATAGTCACTGTTAACGTTGAACTGCGCAAGGCGGCGACTTTCTTCCAA TGCCGCCCTTACACGCGGTTGGTGCATTAACATTCCAAGTCCCCGTTCATATTGCAACAT AACACTGTCATGTATTGATACCACGGCGGCTATGGGTAGGGATGTAACATTTTGTCGGCG GTGTTCTAATTCCAATGCAATTAAGCTTATGAGCCGATCTTGGTACTGTCCAGAAGAAAT ATCTATTACGGTTCTTCCTAAACTTCCACGACTAAGCTGGGTATGCGCGTCTAAACAAAG AGCAACTAATCCAGGAAACATTTCAGTCAGCTCTGTGGTCCGATTTAACGTATACAGTGG TGCTATATATCGTTCACATAAAAATTGAAAGTTATTATTACCGCTTTTAAACTTCCCATC AAACCCCGTCGCTCCGCGCAAGATTACATTGTTGGTAGGGGTTCCTGTTGCTTCTGACAC AATCAAACCCAGCTTAGTCGTGGAAGTTTATCTCCGTATACGTTCCCGTTCCATAATAAG CGCCTTAATAATAATAACGCCGTAATCGTGTCAATTGTTAACCTTAATAGAGTTTGGTCT TCCATAAGAAACACGTTTTGGGCCCGTTCTAAATACGCCGCGGCCGCCTGTTGAATCTTG TCCACATATGCGGTATGATTGCGATCAATAATGTCATTAACCCCAGGATTAAACTGTCCA GGTGCAGGCGGTAGGACCTGCAACCGTATAAGCGCATCCATAACAGAATGTGACGTTAAG GCGCCTTGATCATACCGCCCCCCACGAGCATGAAACTGGTCGCGTGGTAGACGATCATAG CAAAATTGATAACTGTTTTTATTTTCGTGTGTTGTCATATAATTCACAAATGTCTCAGTA TATTCCGGTAGGTGCTCTATAAGGTTCCCGAAGGACGAAACTTGAGGTTCGTGGACACTA TTAGATGTCCTATACATTAAATATAAACATAATACCGCACACTCGAACGCGGAGTACGCT CTATCTCCAACATACATTCTCCCGGCGGACTGTAGACATGTTACCGTTGTGTTCATAAAC GTACGGGAAATGCGCCCGTCTTTACAATCAACTCCGCGTGCAGCTACGGGCCTATCTAAC ACAAGCCGTTCCTGCAGAGTACGATACCATGGCCCGAAAACAATCCCTGGAGAGTTATTG CCCCTTGCCCTTCCCAAGTACACCAGGGTGATAAAATCCACTTGAAAGTTTGTATCGTAC TGCAACGGTGCATCATTTTTGGCAATCTGTACCTCGGGGTGTATAGACTCATTGCGTATT ATTTCTGTACGTGTACATTCCTCAGATTGTGCATCTGCTTCTTCCGCCTCGGCAGCAGCC GTCTCCAGGGAATCCAAAACCTTGGCCATGCGCGTTAGTTGGTCTTCGAGGGGCTTTAAA CGACGATCTATTTCCGTTGGTAACGTAATCGTTTCCCCGCGAAGGTTGTCTAATGCGGCA ACGGCCGCCGCATTAGACAACCTTCGCGGGAGCCGTCCAGTAGTGTATGGGGAAGTTGGG GGCTATAAAGTTCTTAGTGGTAGACAAAAATATCCCACATTTATTCGGAAACGAGATAGA TCCGAACCCATATCTCGCCGTCATGGTGTCTGCAGCAAACAAAGTCAACTGGCGTGAATA TAAACCGGGATGTTTTGTAAAATTCCACCACAAGCACCTAAAGAAGGCCTTCTAAGGGGT AAATCCACCCCACAAGCTGCATTTTCTTCAAACTTTGTTAAAGCGGAACGATGGCATGAT TTCGCACGCTTTTTCGCAAGAGAACATACGTGAATTTTCTTTTTGCATAGACGTCTTCGC TCTCTAACGGACCTTATCGGGGGGGTATATTCCGCTACATTCTCCAAATGCGACGCTAGC ATAACAAGGTTTCCATGAATCACCTTTGGGGGTAACCGAGTTACCTGTAACAGGTTCAGA CCCCGTTGAGATACAAACACAAGGAGGGGGGTCACCATTATTTCATCAGATCCCGTGGGT GTGGTTTCCTTTATTAAAGCCACGGTATCCCTCAGCTGGCGCATACCCTCGCAAAACTGG TGATACTTAGTAGGGGTATGTATATTAGCGCTAAAACGGCAAGATTTTAATTCCACTATA AAACAAACGGTCTTTCCGGCACCACTGGATTCCGTTTGTATAATACAAATACAATCGGGG CGTCGGCGTCCCAAATTTACTTCAAACGACATTGATATGCGTACAGCCCTTTGAACATCC ACGTGGGATAACGGCGACAGGAGTTTTGCCAGCCTCGGGTTGAACGCGTCCGCGAAACCT CGACGTACGTTATCAATATCCTTTTTGAGTACATCGTAAAAACGAGTGTGACAACGTTGT CCCAAACGAAAACACTTGGCCCGAATTTGACTAGCGGACATATTTGAAGTTCCGTCCCAG AAGATAACCTAAGACGCGTTTGTCTACAATAAACATGTCAACGGATAAAACCGATGTAAA AATGGGCGTTTTGCGTATTTATTTGGACGGGGCGTATGGAATTGGAAAAACAACCGCCGC CGAAGAATTTTTACACCACTTTGCAATAACACCAAACCGGATCTTACTCATTGGGGAGCC CCTGTCGTATTGGCGTAACCTTGCAGGGGAGGACGCCATTTGCGGAATTTACGGAACACA AACTCGCCGTCTTAATGGAGACGTTTCGCCTGAAGACGCACAACGCCTCACGGCTCATTT TCAGAGCCTGTTCTGTTCTCCGCATGCAATTATGCATGCGAAAATCTCGGCATTGATGGA CACAAGTACATCGGATCTCGTACAAGTAAATAAGGAGCCGTATAAAATTATGTTATCCGA CCGACACCCAATCGCCTCAACTATATGTTTTCCCTTGTCCAGATACTTAGTGGGAGATAT GTCCCCAGCGGCGCTTCCTGGGTTATTGTTTACGCTTCCCGCTGAACCCCCCGGGACCAA CTTGGTAGTTTGTACCGTTTCACTCCCCAGTCATTTATCCAGAGTAAGCAAACGGGCCAG ACCGGGAGAAACGGTTAATCTGCCGTTTGTTATGGTTCTGAGAAATGTATATATAATGCT TATTAATACAATTATATTTCTTAAAACTAACAACTGGCACGCGGGCTGGAACACACTGTC ATTTTGTAATGATGTATTTAAACAGAAATTACAAAAATCCGAGTGTATAAAACTACGCGA AGTACCTGGGATTGAAGACACGTTATTCGCCGTGCTTAAACTTCCGGAGCTTTGCGGAGA GTTTGGAAATATTCTGCCGTTATGGGCATGGGGAATGGAGACCCTTTCAAACTGCTTACG AAGCATGTCTCCGTTCGTATTATCGTTAGAACAGACACCCCAGCATGCGGCACAAGAACT AAAAACTCTGCTACCCCAGATGACCCCGGCAAACATGTCCTCCGGTGCATGGAATATATT GAAAGAGCTTGTTAATGCCGTTCAGGACAACACTTCCTAAATATACCTAGTATTTACGTA TGTACCAGTAAAAAGATGATACACATTGTCATACTCGCGTGTACGTGTTTTTCTTTTTTA TATATGCGTCATTTATTACCACATCCTTTAATCCCGCCTTTATCTCCCTAAAACGGAGTG GTAATATTAAAAGCCGCCAAGCCTGTTGGTGGGTGAGGAGGGGTAAAGGCACGCTGTGTG CATAACGTTGCGGTGATATTGTAGCGCAAGTAACAGCGACTATGTTTGCGCTAGTTTTAG CGGTGGTAATTCTTCCTCTTTGGACCACGGCTAATAAATCTTACGTAACACCAACCCCTG CGACTCGCTCTATCGGACATATGTCTGCTCTTCTACGAGAATATTCCGACCGTAATATGT CTCTGAAATTAGAAGCCTTTTATCCTACTGGTTTCGATGAAGAACTCATTAAATCACTTC ACTGGGGAAATGATAGAAAACACGTTTTCTTGGTTATTGTTAAGGTTAACCCTACAACAC ACGAAGGAGACGTCGGGCTGGTTATATTTCCAAAATACTTGTTATCGCCATACCATTTCA AAGCAGAACATCGAGCACCGTTTCCTGCTGGACGTTTTGGATTTCTTAGTCACCCTGTGA CACCCGACGTGAGCTTCTTTGACAGTTCGTTTGCGCCGTATTTAACTACGCAACATCTTG TTGCGTTTACTACGTTCCCACCAAACCCCCTTGTATGGCATTTGGAAAGAGCTGAGACCG CAGCAACTGCAGAAAGGCCGTTTGGGGTAAGTCTTTTACCCGCTCGCCCAACAGTCCCCA AGAATACTATTCTGGAACATAAAGCGCATTTTGCTACATGGGATGCCCTTGCCCGACATA CTTTTTTTTCTGCCGAAGCAATTATCACCAACTCAACGTTGAGAATACACGTTCCCCTTT TTGGGTCGGTATGGCCAATTCGATACTGGGCCACCGGTTCGGTGCTTCTCACAAGCGACT CGGGTCGTGTGGAAGTAAATATTGGTGTAGGATTTATGAGCTCGCTCATTTCTTTATCCT CTGGACTACCGATAGAATTAATTGTTGTACCACATACAGTAAAACTGAACGCGGTTACAA GCGACACCACATGGTTCCAGCTAAATCCACCGGGTCCGGATCCGGGGCCATCTTATCGAG TTTATTTACTTGGACGTGGGTTGGATATGAATTTTTCAAAGCATGCTACGGTCGATATAT GCGCATATCCCGAAGAGAGTTTGGATTACCGCTATCATTTATCCATGGCCCACACGGAGG CTCTGCGGATGACAACGAAGGCGGATCAACATGACATAAACGAGGAAAGCTATTACCATA TCGCCGCAAGAATAGCCACATCAATTTTTGCGTTGTCGGAAATGGGCCGTACCACAGAAT ATTTTCTGTTAGATGAGATCGTAGATGTTCAGTATCAATTAAAATTCCTTAATTACATTT TAATGCGGATAGGAGCAGGAGCTCATCCCAACACTATATCCGGAACCTCGGATCTGATCT TTGCCGATCCATCGCAGCTTCATGACGAACTTTCACTTCTTTTTGGTCAGGTAAAACCCG CAAATGTCGATTATTTTATTTCATATGATGAAGCCCGTGATCAACTAAAGACCGCATACG CGCTTTCCCGTGGTCAAGACCATGTGAATGCACTTTCTCTCGCCAGGCGTGTTATAATGA GCATATACAAGGGGCTGCTTGTGAAGCAAAATTTAAATGCTACAGAGAGGCAGGCTTTAT TTTTTGCCTCAATGATTTTATTAAATTTCCGCGAAGGACTAGAAAATTCATCTCGGGTAT TAGACGGTCGCACAACTTTGCTTTTAATGACATCCATGTGTACGGCAGCTCACGCCACGC AAGCAGCACTTAACATACAAGAAGGCCTGGCATACTTAAATCCTTCAAAACACATGTTTA CAATACCAAACGTATACAGTCCTTGTATGGGTTCCCTTCGTACAGACCTCACGGAAGAGA TTCATGTTATGAATCTCCTGTCGGCAATACCAACACGCCCAGGACTTAACGAGGTATTGC ATACCCAACTAGACGAATCTGAAATATTCGACGCGGCATTTAAAACCATGATGATTTTTA CCACATGGACTGCCAAAGATTTGCATATACTCCACACCCATGTACCAGAAGTATTTACGT GTCAAGATGCAGCCGCGCGTAACGGAGAATATGTGCTCATTCTTCCAGCTGTCCAGGGAC ACAGTTATGTGATTACACGAAACAAACCTCAAAGGGGTTTGGTATATTCCCTGGCAGATG TGGATGTATATAACCCCATATCCGTTGTTTATTTAAGCAAGGATACTTGCGTGTCTGAAC ATGGTGTCATAGAGACGGTCGCACTGCCCCATCCGGACAATTTAAAAGAATGTTTGTATT GCGGAAGTGTTTTTCTTAGGTATCTAACCACGGGGGCGATTATGGATATAATTATTATTG ACAGCAAAGATACAGAACGACAACTAGCCGCTATGGGAAACTCCACAATTCCACCCTTTA ATCCAGACATGCACGGGGATGACTCTAAGGCTGTGTTGTTGTTTCCAAACGGAACTGTGG TAACGCTTCTAGGATTCGAACGACGACAAGCCATACGAATGTCGGGACAATACCTTGGGG CCTCTTTAGGAGGGGCGTTTCTGGCGGTAGTGGGGTTTGGTATTATCGGATGGATGTTAT GTGGAAATTCCCGCCTTCGAGAATATAATAAAATACCTCTGACATAAAAAACATGTATAA TAAAAAGTCACTATAAACGTATTAATAATACACACTACCTTTGGGTTTTTTTCCCGTCCC CAAATGGTGTTTGGTGCACTCTACCAAAAAATAGAGCGCCTAAATATGCTATATAACGCC TCCCAGCAAAATACGGTTCAAAGGCATTACCCGATATTGTATTGTAGTACAGGGCAATGG GAATTGATGATCCCAATAAACGGCATAGACGCACAGCGCCGTTATAGCAGGGGTCTCCAG AGTACAGGGTATCTAAGTACCGGGATATCTCATACTCATGCCTTTCCGTGACAGAAACAT CAACCGGAACAGTATCCGATAAACCAACTCCTGTTTTTGCAAGGCGTAAAATTCGCACAC CTTCCTTTTTTGCAAGATGTGACGTTTCCTTGTAACAGGGAAGCTGGGGGAGTGGTAAGA ACAACAAAGTTTCAGCCAACGTGCCAATAAAGCCCACTTCCCTCAAGAGGCTGTTTGCTG TATCCACAATGGTCCGTATTAAATCTTGAGCAACTTGATCCGTGTCATCATCACTGGGTA ACGCGTTAACATAACTACGCGTTAAATCTTCAATAACGGCATAACAATTAAACGCTTCCC ACCGAGACAGTATATATTGAACAATCACGAACCGTTGACAGGACGTCAGATCACGTCCGT AAGCATGCCCGAAAAATGGAAGTTCCCCCCGTTCGCCATATACCGCAACAACTGCAGTAT ATATCGTCTCACGGGCTTCATTAAGTTCATCTTCAAGTCCAGGCCATTTTCTGGCTTTAA ATATAACCTCGTCCGCAAAAAAAACCGCACATGATAACGCGCGGATACAATGAGTAGTGG CTTTATGGCGAGGATCCCAAATGTCCATTACCCGGGGGATGGTCCTAATCTGTACAAAGT TACTTAGTGTAATATGATCGGACTTCTTACGCCGTCTAGGCTGTTTCTCAGAATACGGTT CACCCGAAATCGGCACATCATCTGCTTTTACGTCTTCCGTAACCACATCAGCAGCGCGCC GACTAACAATTATACTTGTTTTTTCATCGTCGTTACTTCCGTTAAGCGCGTCTCGTATCT CGGGCGTCCCGTCGAATAATCCACTCACTAGCTCCTGCAAACCTTCTGGTAACTCCAACA TACGCATATACACCAATGAAAAACTGGCTTCGTTTGGTACGTACATAAAGCCATTTGTGG TATACAATTTTAGCTTATTCTCGCGCGTAACATCTACCCCCGCCACCAATGTTAAATGCG TCACGGGGAGGGACACGAGATAATCTGCGAGCGTAGGGTCCTCCACTTCAACATCAAATG TTCCGCAAAGGTCGCGATCCACCGCCCCCGATCCCGCTGCAAGTAAGGCCACTCGATCCA AAAACACGCAGTTATTATTGGATGATACCGCCCATGTCTTCCCGGTGCGATTGAGCTCAC TTCGAACGTAACTGGCAACAGATCTGTCACCGGGTCCGACCCCGCGAACAACATGTCCAA ATTTTGCGATCTCGCCTCCATGTTTGCGGGGTATGGAAATTAAGCATCCCCCGCATATAA AATACGCCCTGGTAGCACGCTCGTTAAAATAAAACGTTACGCCGTTATAAGATACGGTTG AATGATATGGAAATTCCATATTAAAGCGTTTATCGGAACATTAACCTCGAACTTGCCGTC CCGTGATCGTGTGATCGCCATGAGAAATATATAACTACACGCAAACATTCAAAACACCGT GGTATCATTAACGTCATATGAAAAGATCCAATCAATCCAATCAACCACACCTCCTACCGT TTAGCACGTCAGCTATGTGACATGCTCCAAACATACGTAAACATTTAGAGAGGGTGTTAT AACAGTCTGTCAGGCGGGGTATATTCTACATAATACAAGGATCGGCTTTAACTTTGTCAA CATTTTTACTTTGGACTATAAACTGCGACTGAACGTTATGAACCCACCCCAAGCCCGCGT CTCGGAACAGACAAAGGACTTGCTTAGCGTTATGGTTAACCAGCACCCCGAAGAGGACGC AAAAGTGTGTAAATCCAGTGATAATTCACCGCTTTATAACACCATGGTTATGTTATCGTA TGGGGGTGATACGGACTTACTATTAAGCTCTGCATGTACCCGCACATCTACCGTAAACAG GTCGGCGTTTACGCAACACTCCGTGTTTTATATTATATCCACGGTGTTGATTCAACCAAT ATGTTGTATCTTCTTTTTTTTTTACTATAAAGCGACACGCTGTATGCTCTTATTCACAGC CGGGTTACTTCTGACGATTCTACATCACTTTCGACTTATTATTATGTTATTGTGTGTCTA CAGAAATATACGATCAGACCTGCTACCCTTATCTACATCCCAGCAACTGCTGCTTGGAAT TATTGTTGTGACTCGAACAATGCTATTTTGTATTACGGCGTATTATACTCTTTTTATAGA CACCCGGGTGTTCTTTTTGATTACCGGACACTTGCAAAGTGAGGTTATTTTTCCAGATAG CGTTTCAAAAATACTTCCTGTGTCGTGGGGTCCAAGTCCAGCCGTGTTACTGGTAATGGC GGCAGTTATTTACGCTATGGACTGTTTGGTGGACACGGTATCCTTTATTGGGCCAAGGGT GTGGGTCCGTGTTATGTTAAAAACATCTATTTCGTTTTAGTCCATTTCAATAAATGTACT ATAATTGTTCAGTCTAAAAATAATGTTGGGTATTTATAATTACCGCCCCCGTGTTACTTG GAAACACCCATACATATGTTCCACTCTACATCAAACTTCTCGCAGTTTTCTTGTTCCCGC ACACGTTTACACGTCCGGATTCAAGTCGCAACGCTGCTGACAAAATGACAACGGTTTCAT GTCCCGCTAACGTGATTACTACAACGGAATCTGATCGTATTGCTGGGTTATTTAACATCC CAGCGGGGATCATTCCAACTGGAAATGTGCTGTCAACCATAGAGGTGTGTGCACACCGTT GCATTTTTGATTTTTTTAAACAAATACGATCAGATGATAACAGCCTTTACTCGGCTCAAT TCGATATTCTTTTGGGGACATACTGCAATACATTAAACTTTGTGCGTTTTCTAGAACTTG GACTGTCTGTCGCTTGCATCTGTACTAAATTTCCGGAGCTGGCTTACGTGCGAGATGGCG TTATTCAATTTGAGGTACAACAACCCATGATAGCACGTGATGGCCCACATCCCGTCGATC AGCCTGTTCATAATTATATGGTTAAGCGGATACACAAGCGTTCGTTAAGCGCTGCGTTTG CAATTGCATCGGAAGCGTTGAGTTTGTTAAGTAACACATATGTCGATGGGACAGAGATTG ACTCATCGTTACGTATAAGAGCTATCCAACAGATGGCTCGTAATTTACGCACCGTTTTGG ACTCATTTGAACGAGGCACTGCCGATCAACTTCTTGGTGTTCTATTGGAGAAAGCCCCAC CGCTATCGCTGCTTTCACCAATTAATAAATTCCAACCCGAGGGACATCTAAATCGTGTTG CACGCGCGGCCCTACTTTCGGACCTCAAACGTAGAGTCTGTGCGGATATGTTTTTTATGA CCCGACACGCCAGGGAACCTAGGCTGATCTCTGCGTATCTGTCGGATATGGTTTCGTGCA CCCAACCATCGGTGATGGTATCACGAATAACTCATACAAACACTCGCGGACGGCAGGTTG ACGGTGTGTTGGTAACAACAGCAACCTTAAAACGGCAACTATTACAGGGAATTTTACAAA TTGACGACACCGCCGCTGACGTACCAGTAACATATGGCGAAATGGTTCTACAGGGGACAA ACTTGGTAACCGCCCTTGTGATGGGAAAGGCCGTCCGCGGAATGGATGATGTAGCCCGCC ATCTCCTTGATATAACCGACCCTAACACGTTAAACATACCGTCTATACCCCCACAATCCA ACTCCGATTCAACGACAGCTGGGCTTCCGGTTAACGCCCGTGTTCCTGCGGATTTAGTGA TTGTTGGGGATAAACTTGTATTCTTAGAAGCATTAGAACGGCGGGTCTACCAAGCTACGC GCGTTGCCTACCCTCTTATTGGAAATATAGATATTACGTTTATCATGCCAATGGGAGTGT TTCAGGCAAACTCCATGGACAGATATACACGACACGCCGGCGATTTTTCAACTGTATCCG AACAGGATCCACGTCAATTTCCACCCCAAGAGATTTTTTTTTATAATAAAGATGGGATAT TAACACAGTTGACTCTTCGTGATGCAATGGGTACCATCTGCCACAGTTCATTGCTTGATG TTGAGGCCACACTTGTTGCCCTCCGCCAACAACATTTAGATCGTCAGTGTTATTTTGGTG TATACGTGGCCGAGGGTACAGAGGACACATTGGATGTTCAAATGGGGAGGTTTATGGAAA CGTGGGCAGATATGATGCCTCATCACCCTCATTGGGTAAACGAACATTTAACAATTCTAC AGTTTATAGCTCCGAGCAACCCGCGTCTAAGGTTTGAATTAAACCCCGCCTTTGATTTTT TTGTTGCACCGGGGGACGTAGACCTTCCCGGACCGCAGCGTCCCCCGGAAGCCATGCCAA CCGTTAACGCAACATTACGGATTATCAACGGAAACATTCCCGTGCCTCTATGTCCCATTT CATTTCGAGACTGTCGCGGAACCCAACTCGGTTTGGGAAGACATACAATGACCCCGGCAA CCATTAAAGCCGTAAAGGATACATTTGAAGACCGCGCATACCCAACTATTTTCTACATGC TAGAGGCTGTTATTCATGGAAACGAAAGAAACTTCTGTGCGTTACTGCGACTGTTAACAC AGTGTATTCGCGGGTATTGGGAGCAATCCCACAGGGTGGCATTTGTAAATAACTTTCACA TGTTAATGTACATAACTACATATCTCGGAAACGGTGAGCTTCCCGAAGTCTGTATTAATA TATATCGGGATTTACTGCAGCATGTAAGAGCATTACGCCAAACTATAACCGATTTTACAA TACAAGGAGAGGGCCATAACGGCGAGACCTCGGAAGCGCTAAATAACATCCTTACGGATG ACACGTTTATTGCACCTATTCTATGGGATTGTGATGCGTTAATATACCGTGATGAAGCCG CCCGAGACCGACTCCCCGCAATTCGTGTAAGCGGGCGAAACGGATACCAAGCCCTTCACT TTGTGGATATGGCCGGGCATAACTTCCAACGACGCGATAATGTGTTAATCCACGGGAGAC CCGTTCGGGGAGACACGGGTCAGGGTATTCCCATTACCCCACACCATGACCGTGAATGGG GTATTCTCTCCAAGATTTACTACTATATTGTCATTCCTGCATTTTCCCGCGGTTCCTGTT GTACAATGGGCGTGCGTTATGATCGCCTATACCCTGCGTTACAGGCAGTTATCGTTCCGG AAATTCCCGCTGATGAAGAAGCCCCAACTACCCCAGAAGATCCAAGACACCCTCTTCACG CACACCAACTCGTTCCGAACTCTCTTAACGTTTACTTCCATAATGCACACCTAACCGTTG ATGGTGATGCATTGCTCACACTACAAGAGTTAATGGGAGATATGGCTGAACGAACGACGG CCATTTTAGTATCAAGCGCCCCCGATGCGGGAGCCGCCACGGCAACAACCAGAAATATGA GAATATATGACGGAGCGCTTTACCATGGCCTTATTATGATGGCATATCAGGCGTACGATG AAACCATTGCAACGGGTACTTTTTTTTATCCCGTTCCGGTCAACCCTCTGTTTGCATGTC CGGAACATTTGGCATCATTGCGTGGAATGACAAATGCTAGGCGGGTTTTGGCAAAAATGG TACCACCAATCCCTCCTTTTCTGGGAGCCAACCACCACGCAACTATACGCCAACCCGTTG CCTACCATGTAACGCATAGTAAGTCGGATTTTAATACTCTTACATATTCTCTTCTTGGAG GGTATTTTAAGTTTACACCAATAGCTCTTACACATCAACTACGAACGGGATTTCACCCCG GGATTGCCTTTACCGTAGTGCGCCAGGATCGCTTTGCCACAGAGCAACTTTTATATGCCG AGCGTGCTTCTGAATCGTACTTTGTCGGACAAATCCAAGTACACCATCATGATGCTATTG GGGGGGTAAACTTTACCCTAACCCAACCCAGAGCTCACGTGGACCTGGGAGTTGGGTATA CAGCTGTATGTGCCACAGCAGCCCTGCGATGCCCTCTCACGGATATGGGCAATACTGCCC AAAATCTTTTTTTTTCACGAGGAGGAGTGCCAATGTTACATGATAACGTTACCGAATCGT TGCGTCGTATAACAGCATCGGGGGGTCGCTTAAATCCCACCGAACCCCTACCCATCTTCG GCGGACTGCGTCCTGCTACATCGGCAGGAATTGCACGAGGGCAAGCCTCTGTGTGTGAGT TTGTGGCCATGCCGGTGTCCACTGACCTACAATATTTTAGAACTGCATGCAATCCTAGAG GTCGAGCATCTGGAATGTTATATATGGGTGACCGTGACGCCGACATAGAGGCTATAATGT TTGATCACACACAATCGGATGTTGCTTATACAGATCGAGCAACTCTTAACCCATGGGCAT CACAAAAACATTCATACGGTGACAGGCTATACAACGGAACATACAACCTTACAGGCGCTT CTCCTATCTACAGCCCATGCTTTAAGTTTTTTACACCAGCGGAGGTTAACACTAATTGTA ATACACTGGATCGGCTTCTAATGGAGGCAAAGGCTGTGGCGTCGCAAAGCTCCACCGACA CTGAATATCAATTTAAACGCCCTCCCGGTTCTACCGAAATGACACAGGATCCGTGTGGCC TTTTTCAAGAAGCATATCCACCACTATGCTCAAGCGATGCGGCCATGTTACGAACGGCTC ACGCGGGAGAAACCGGGGCAGATGAAGTTCACTTAGCCCAATATCTGATTCGAGACGCGT CGCCCCTTAGGGGATGTCTTCCTCTTCCGCGATAATTTCACCACGCCCACATACCCACTC CCAATAAAAGCCCTGTAGAGCGCATTGGCATCTTACTTGAGATTTGGATACGCTCGGCCG ACTTGGTCTGTTTCACGCTTCCTTAAACAACATGGCTATGCCATTTGAGATAGAGGTATT GTTACCAGGAGACCTATCCCCGGCGGAAACATCTGCATTACAGAAATGTGAGGGAAAAAT TATTACCTTCTCAACCCTGCGTCATCGAGCTTCACTGGTGGATATAGCGCTGTCGTCATA TTACATTAACGGTGCTCCACCAGACACGCTCTCGCTGTTAGAGGCATACCGAATGCGATT CGCGGCAGTTATAACACGGGTCATCCCGGGAAAGTTGTTGGCGCATGCCATTGGCGTGGG TACTCCTACACCCGGGTTGTTTATTCAAAATACATCCCCCGTTGATCTTTGTAATGGCGA TTACATCTGCTTACTTCCTCCGGTTTTCGGGTCCGCAGACTCAATTCGCTTGGACTCTGT AGGACTGGAAATTGTTTTCCCTTTAACCATCCCCCAGACCTTAATGCGAGAAATCATCGC CAAAGTGGTTGCACGGGCCGTTGAGCGCACGGCCGCGGGTGCTCAAATTTTACCCCACGA AGTTCTACGAGGCGCGGATGTCATTTGTTACAATGGAAGGCGTTATGAACTCGAAACAAA TTTACAACATCGGGACGGATCGGATGCGGCTATTCGCACATTGGTTTTAAATCTAATGTT TTCCATAAACGAGGGATGTCTGCTTTTATTGGCGCTGATTCCAACTTTGTTAGTCCAAGG AGCACACGACGGTTATGTAAATTTATTGATACAAACGGCCAATTGCGTTAGAGAAACCGG CCAGTTAATTAATATACCGCCAATGCCGCGGATTCAAGACGGCCATCGCCGATTTCCCAT ATATGAAACTATTTCATCTTGGATATCAACATCATCTAGACTGGGGGATACCTTGGGAAC TCGCGCAATTTTACGCGTCTGTGTGTTTGATGGACCCTCTACTGTTCATCCGGGAGACCG CACAGCCGTGATTCAAGTGTAAACAGGTGTTAATAAAAACACAACCAGTCTAGTTACATT TCACGCGTCTTGTTTTTATTTAATAGGCATAAACACGGAATCCGGTATACATGAACTGCC AATATACACGGACATAATTAATGCAACCATCAGATCATCTGACATTGTTCCCGTGGTACC TTTACCCGTGTAAGTTTTTGTGTCTAGATGACCCATACCGCCTTTAATTACCTCTGTCAG GTTATCCAACTGTTTACATAGATACTCCACGGGGTCTACACCTAACTTTACTGTTAGGGA TACAAGCTCCTGTGAGGCTATTATATTTCCGGAGTTAAATCGTTTAACAAAATAGTCTAC GGCCGGCGTTTTTTGTTTTTGTAATAAAAAAAAAGGGTACGCCACGCTACATCCGGGAGG TATGGAATGATAAAACAGTAACACTGGAGCGGAAGATAGCACGTTTCCCTTTTCGAGGAC AGCAAACTGTTGTGCTATAGCCAACGATATGGCAACTGCAGAATCCTGGCTGCTGTTTCC CTCTATAGAAACGTGTACGTTTGTAAATGTATTGGGGTGTAAAGCGAGTATGTGGCCTAA GCATTGAGTAACGCAACGCCCTATCTCACTGGAAGACGTGCCAGTTAAAGCTCTAAGAAA AAAGTGCTCCAATCCAAATATAATCCAATCCGACTTATAACGACCAACAATCGCTACACC AGTACCAGACGCTCCTGCATTTACCTCAAATACACGAGCGTCTGGTACTGGTGTAGCGAC AACGGTTGACGGCCGATATAAAATAAACCTCTCACGGGCAGTTTTTGTAAATAATGGCCG GTCAAACCCCACACCCCCAGAATTCTGTTTACGCCCACCTACAATTTCCTGCACGAAGGA GTCGGCCATAAATAAATCTGCAGTGCGCCGCATGGCTCCATCCATTGTGATGAAAACCGG CTTATTTAATACATAACACGAACAAGCTGTGACATCGCTATGTGCTAAAACACGCGGCAT GTGATCGTCGCATACATATGTAACAACGTTTAACAACTGATCCGACGATCCACGTAAGTT ATACAAAAAACTTGTACTTGCTTTTCCGGTATTTGTTGATGAAACAAAAATAATTTTACA ATTGGTTTGATTTAAAAATCCGACTATAGTTTGTACAGCATCAGGTCGAATAAAATTAGC TTCATCCACAAACAGAAGATTAAAATCTTGACCTCGGATACCCTGGAACGATAGAAAGAT ATATAGTTACCCCACCAAAGTTTAAATGTATCCTTAAATACCACGTACGTAAAAAATGTT TGAATACGTACATATTTCTTTTTTTTTTTTCCAGTACAACCATATCCGGTGTATAATGGA AGCCCATTTGGCAAATGAAACCAAACATGCACTTTGGCATAATGATCACACAAAAGGATT ACTACACGTTGTGATACCTAACGCGGGGCTTATTGCGGCCGGAATAGATCCCGCATTACT GATTTTAAAGAAACCCGGACAACGCTTCAAGGTTGAAGTACAAACAAGATATCATGCTAC AGGTCAATGCGAACCGTGGTGTCAAGTTTTCGCCGCGTACATTCCCGATAACGCCTTAAC AAATCTCTTAATACCAAAAACGGAACCATTTGTTTCACACGTTTTTTCGGCCACGCATAA TTCAGGGGGATTGATTTTATCATTGCCTGTTTATCTTAGCCCCGGTTTATTCTTTGATGC ATTTAACGTTGTAGCGATACGAATAAATACTGGAAACCGCAAGCACCGTGATATTTGTAT TATGTATGCAGAACTAATCCCAAACGGAACGCGTTATTTTGCTGATGGACAACGGGTACT TTTATTATGCAAACAGCTGATTGCGTATATCCGATGCACCCCTCGTCTTGCATCGTCTAT AAAAATATACGCAGAGCATATGGTGGCAGCCATGGGTGAATCACACACGTCAAATGGGGA CAATATTGGACCCGTTTCATCCATAATCGATCTTGATCGACAGTTAACTTCTGGAGGTAT TGATGACTCCCCTGCTGAAACACGCATACAGGAAAATAATCGGGACGTCCTTGAGCTAAT AAAACGGGCCGTAAACATTGTTAACTCCAGGCACCCCGTCCGACCTTCTAGTTCCCGCGT TGCATCTGGGTTGCTTCAAAGTGCAAAGGGCCACGGAGCGCAAACTTCCAACACAGATCC GATCAATAACGGTTCCTTTGATGGCGTCCTTGAGCCGCCTGGACAAGGGCGATTTACGGG AAAGAAAAACAATTCGTCCGCCAGCATCCCACCTTTACAAGACGTTCTATTGTTTACCCC AGCTTCGACAGAACCCCAAAGTCTTATGGAATGGTTCGACATCTGTTATGCCCAATTAGT TAGCGGGGACACTCCAGCAGATTTCTGGAAACGGCGTCCCCTATCAATTGTACCGCGACA TTACGCAGAATCCCCCAGTCCGTTGATTGTAGTATCTTACAACGGATCCTCTGCCTGGGG AGGACGTATTACCGGAAGTCCAATTTTATATCACTCTGCACAGGCTATTATTGATGCTGC GTGTATAAATGCCCGGGTTGACAATCCCCAAAGCCTACATGTGACAGCTCGCCAAGAGCT AGTCGCGCGTTTACCGTTTTTGGCTAACGTCCTAAATAATCAAACCCCCTTACCCGCCTT TAAACCAGGCGCCGAAATGTTTTTAAACCAGGTATTTAAACAAGCGTGTGTGACATCGCT AACCCAAGGTCTTATAACGGAGTTACAAACGAACCCGACTCTACAACAACTCATGGAATA TGATATTGCAGATTCTTCCCAAACGGTTATTGATGAAATTGTAGCCCGCACACCAGACCT GATTCAGACTATAGTTTCGGTGTTAACGGAAATGTCAATGGATGCGTTTTATAACAGCTC CTTGATGTATGCGGTTTTGGCGTATCTGTCATCTGTATATACACGACCACAAGGTGGGGG GTATATACCCTACCTTCACGCTTCCTTCCCATGCTGGTTAGGTAATCGTTCTATATATTT ATTTGACTATTATAATTCAGGAGGGGAAATACTTAAGCTTTCCAAGGTCCCCGTTCCCGT AGCCTTAGAAAAGGTTGGTATTGGTAATTCCACACAACTGAGGGGTAAATTTATACGCAG CGCGGATATTGTTGATATTGAAATTTGTTCTAAGTATTTACCCGGTCAATGTTACGCGTA CATTTGTCTAGGATTTAACCAGCAATTACAATCCATTTTAGTTTTACCGGGGGGATTTGC GGCATGTTTTTGTATTACCGATACCCTACAGGCAGCACTACCTGCATCGTTAATCGGACC TATTCTAGACAGATTCTGCTTCTCTATTCCCAACCCCCATAAATAAATTAGTGTCACTAT AAAAACATAACACCAGAATCTCTTCATATTTAATTTTACGTCATTTCTCCCGTTTCCACC GGGTGGGTGGCATTAAACCCACAAGTACCCGGGCGGCAATCCGCTAGACTGTTTTTCTGC TCATGGAATTACAACGCATATTTCCGCTGTACACCGCTACGGGTGCAGCGCGCAAATTAA CCCCCGAGGCAGTTCAGAGACTCTGCGATGCATTAACGCTGGATATGGGATTATGGAAGT CCATCCTGACCGATCCCCGGGTGAAAATAATGCGATCAACTGCTTTTATAACTTTAAGGA TCGCTCCGTTTATCCCCCTTCAAACGGATACTACTAATATTGCCGTTGTTGTAGCCACAA TTTACATCACGCGCCCACGTCAGATGAACTTACCTCCGAAGACTTTTCATGTAATTGTAA ATTTTAATTACGAGGTCTCGTACGCAATGACGGCGACTTTAAGAATTTATCCGGTTGAAA ACATAGACCATGTTTTTGGAGCAACGTTTAAGAACCCGATCGCGTACCCCCTTCCAACAT CTATTCCGGATCCTCGAGCAGATCCCACCCCCGCAGATCTTACACCAACGCCAAACTTAA GCGACTACTTACAACCCCCGCGGCTTCCGAAAAATCCATACGCATGTAAAGTTATTTCTC CGGGAGTGTGGTGGTCAGACGAACGAAGGCGTTTATATGTACTGGCTATGGAACCTAATT TAATAGGGCTATGTCCCGCCGGATGGCATGCTCGGATACTTGGCTCTGTATTAAATCGAC TCCTCAGCCATGCGGACGGATGTGATGAATGTAATCATAGAGTTCACGTGGGGGCACTGT ATGCGTTACCCCATGTCACAAATCATGCGGAAGGTTGTGTGTGTTGGGCTCCGTGTATGT GGAGAAAGGCCGGTCAGCGGGAATTAAAAGTGGAGGTAGACATTGGCGCCACGCAGGTTC TTTTTGTAGATGTCACCACCTGCATTCGAATTACGAGTACTAAAAATCCTCGCATTACCG CAAATCTTGGCGACGTTATAGCGGGAACCAACGCCAGTGGTCTCTCTGTACCAGTAAATT CATCTGGGTGGCAGCTTTATATGTTTGGAGAAACATTAAGCCGGGCTATTATTAACGGCT GTGGTCTGCTTCAGCGAATTTGCTTCCCCGAGACACAAAGATTATCGGGTGAACCGGAAC CTACAACCACCTAGTATACCTTAACTATATGTCAACATTTACAGTAATATATTAAAGGTT AAATTTATAAAACACTCACGTTTGTGTTGTGACTTGACGCGAACACCGCTGTGCTGTAAG ACCCGTCGGTAAATGAAAACGTAATAGATTCGCCTTTTACATGATCCACGTAATTTGCCC CAAACCACTGTTCCAGGCGAGACTTGATACCCTCAAACACGGGTTCCGTTGCTTTGCGTA TATGAGCCGTATAACCCACTTTAATTCCTCTAAACGTGGCCATTACTAAAGCTATTAATG GTACAAGAAACCATGTTTTCCCATGTCTACGTGGTACCAAAAACACAGTTGATTTTTGTT TGAAGTGTTCTAAAACACTGTCAGAAACACTTGGCGTGTTAAACACTGTACGCAGAAAGC AGTCAACTCTGTCGGCATGATCGCCCAATAGCACCGATGAAATAAAATGCGTGGTGTGCA TGAGGATCATTTTTTGAAACAGTTCCAACGTCCCCTTATATCTGCCATAGATTGGAACGT CAACCTTTGCGCGTTTGCCATGACTTCCACACTCTTCAATACTCTCAAAAGATGTTTCCA CAAGGTACGAAAACCGTTGTGTAAAGGTAGACAACTGACAGAAACTATCCGACAGAGAAA ACGCGCGAAATGTGTTCATAACCCCGCTATACGCATTTCGATGAGGTGCTGCTTCTTCCG GTGAATATTCATAAAACTGTACACTACTGACAGCCTTTTTTAATTCAGGGCTTACGTTTG CATTTACCGAATATCGCCATGGTTTCAAAACTACATTGGGGGTACAGTTGTACCCTGTTG ACGATAGAAACGCGCCAAACATTGCCCGTCGAGCAGTAGCCGAGAACAGTGGAATATATT CACAACAGTTGTGAAGCGTTCCAATTCCGGGAATAACGGCCTGATGACGTCGGGTTACAT CTATAGCAAAATTCAGAAACGGGATTTGGGTTGCGTTTCCCAGAGACCCTTGCCGCGTGG AACACGGGGTAGGGGACTCCAACGTCTAAAGCGTCGTAGGGATGAACGCTTTGGGACGTT GGAGTCCCCTACCCCGTGTAAGCAGTAAAACAGGAAGCCGCGTCATCTTACGTACTCGTT ACGTATATATCATAAACATTTTCAGGGCCGCATTCATTCACTTTGGTCATGTCAGGCCAC ACTCCAACCTACGCTTCTCATAGGCGTAACCGTGTCAAACTAGTTGAGGCGCATAACCGC GCGGGGTTATTTAAAGAACGGACCCTCGATCTAATCCGTGGGGGTGCGAGTGTACAAGAT CCAGCATTTGTGTATGCCTTTACTGCTGCCAAAGAGGCCTGCGCCGATTTAAATAACCAG CTCCGCTCTGCAGCTCGCATAGCTTCAGTTGAACAGAAGATTCGTGATATACAATCCAAG GTTGAGGAACAAACAAGTATTCAACAGATTTTAAATACAAACAGACGCTATATAGCACCC GATTTTATTCGCGGTTTGGATAAAACAGAAGACGATAATACCGATAATATAGACAGACTG GAAGACGCGGTAGGACCGAACATCGAACACGAAAATCATACTTGGTTTGGAGAAGACGAC GAAGCGTTACTTACACAATGGATGCTGACGACACACCCCCCAACCTCCAAATATCTCCAA CTGCAGGACCTTTGCGTTCCCACCACAATACCGACGGACATGAACCAAATGCAACCACAG CCGATCAGCAAGAACGAGAATCCACCAACCCCACACACGGATGTGTAAATCATCCATGGG CCAATCCGTCAACTGCAACATGCATGGAATCACCAGAACGATCACAACAGACAAGCTTAT TTTTATTAAAGCACGGCTTAACGAGAGATCCAATACATCAACGCGAAAGGGTGGACGTTT TTCCACAATTTAACAAACCCCCATGGGTTTTTAGAATTTCCAAATTATCCCGTTTAATTG TACCCATCTTCACGCTCAATGAACAGTTATGTTTTTCTAAATTACAGATTCGAGATAGAC CCAGGTTTGCGGGACGGGGAACGTATGGGCGTGTTCATATATACCCATCGTCAAAAATAG CTGTAAAAACCATGGACAGTCGTGTTTTTAATAGAGAGTTAATTAACGCGATTTTAGCGA GTGAGGGTTCTATACGAGCAGGGGAAAGGCTAGGTATTTCTAGCATAGTTTGCCTTTTAG GTTTTTCGTTACAAACCAAACAGCTACTGTTTCCGGCATACGACATGGATATGGATGAAT ACATTGTTCGCCTGTCCAGACGGTTGACAATACCTGATCACATAGACAGAAAAATTGCCC ATGTATTTTTAGATTTGGCTCAAGCGTTGACGTTTTTAAATCGAACGTGCGGCCTGACCC ACCTAGATGTGAAATGTGGCAATATTTTTCTTAACGTCGACAACTTTGCCTCGTTGGAAA TAACCACAGCAGTAATCGGAGACTATAGCCTAGTAACATTAAATACGTATTCCCTTTGTA CTCGAGCGATATTTGAAGTTGGAAATCCATCCCACCCGGAGCACGTACTACGCGTACCCC GGGATGCATCGCAGATGTCATTTCGTTTGGTGTTGAGTCATGGAACAAACCAACCCCCTG AAATCTTGCTTGATTATATTAATGGAACGGGCCTTACTAAATATACTGGAACCTTGCCCC AAAGAGTTGGACTTGCGATTGATCTTTATGCATTGGGCCAAGCACTCTTAGAAGTTATCC TGCTAGGACGTCTTCCCGGACAACTGCCCATTTCAGTACATCGGACCCCGCATTATCACT ACTACGGTCATAAGTTATCACCAGATTTGGCGCTTGATACGCTGGCATATCGATGTGTCC TGGCGCCATATATACTCCCATCTGACATCCCCGGGGACTTAAATTATAATCCCTTTATAC ACGCCGGAGAGCTGAACACCCGTATTTCCCGGAATTCTTTACGCCGGATATTCCAGTGTC ACGCAGTGCGTTACGGCGTAACGCACTCAAAGCTTTTCGAAGGCATACGCATTCCGGCCT CATTATACCCAGCCACTGTTGTTACGTCGTTGTTGTGTCACGATAATTCAGAAATACGCT CGGATCACCCTTTATTATGGCACGATCGGGATTGGATAGGATCGACATAAGCCCCCAGCC AGCCAAAAAAATTGCCCGTGTGGGAGGTCTACAGCACCCTTTTGTAAAAACGGATATTAA CACGATTAACGTTGAACACCATTTTATAGACACGCTACAGAAGACATCACCGAACATGGA CTGTCGCGGGATGACAGCGGGTATTTTTATTCGTTTATCCCACATGTATAAAATTCTAAC AACTCTGGAGTCTCCAAATGATGTAACCTACACAACACCCGGTTCTACCAACGCACTGTT CTTTAAGACGTCCACACAGCCTCAGGAGCCGCATCCGGAAGAGTTAGCATCCAAATTAAC CCAAGACGACATTAAACGTATTCTATTAACGATAGAATCGGAGACTCGTGGTCAGGGCGA CAATGCCATTTGGACACTACTCAGACGAAATTTAATCACCGCATCAACTCTTAAATGGAG TGTATCTGGACCCGTCATTCCACCTCAGTGGTTTTACCACCATAACACTACAGACACATA CGGTGATGCGGCGGCAATGGCGTTTGGAAAAACCAACGAACCGGCGGCACGAGCGATAGT TGAAGCATTGTTTATAGATCCGGCTGATATCCGTACTCCTGATCATTTAACGCCAGAAGC TACAACTAAGTTTTTTAATTTTGACATGCTCAATACCAAATCTCCAAGTCTCCTTGTGGG TACACCAAGAATCGGAACGTATGAATGTGGACTTTTAATCGACGTTCGAACGGGACTTAT AGGCGCGTCGTTGGACGTTCTTGTATGTGACAGGGACCCTTTAACTGGCACCCTAAATCC CCACCCTGCAGAAACCGACATTTCATTTTTTGAAATTAAATGTCGTGCTAAATACCTCTT TGATCCAGATGACAAAAATAACCCGCTCGGTCGGACGTACACCACGTTAATAAATAGACC TACAATGGCAAATCTACGGGACTTTTTATATACTATAAAAAACCCATGTGTAAGCTTCTT TGGACCCTCAGCAAACCCAAGTACACGCGAGGCCTTAATAACGGATCACGTTGAATGGAA ACGTTTAGGATTTAAAGGTGGGAGGGCCCTTACAGAACTCGACGCCCATCATTTGGGCCT CAATCGGACAATCTCATCCCGAGTGTGGGTATTTAATGATCCGGACATACAAAAGGGGAC AATTACAACCATTGCATGGGCCACTGGAGATACGGCTCTTCAAATTCCTGTATTTGCCAA TCCGCGGCACGCTAACTTTAAACAAATTGCCGTACAAACCTATGTATTATCCGGTTACTT TCCAGCGCTAAAACTACGGCCCTTCCTTGTCACCTTTATAGGACGTGTGCGCCGACCACA CGAGGTGGGAGTCCCATTGCGCGTCGATACACAAGCGGCTGCCATTTACGAATATAACTG GCCGACTATCCCACCCCACTGTGCGGTTCCGGTTATAGCCGTTCTAACGCCTATCGAAGT TGATGTGCCTAGAGTGACACAAATACTTAAAGACACAGGAAACAACGCGATTACATCAGC ATTGCGGTCATTGCGATGGGACAATCTTCATCCAGCGGTCGAGGAGGAATCTGTGGATTG TGCAAACGGTACAACGAGCTTGTTACGTGCAACGGAGAAACCGTTGCTTTGAACTCAGAG TTCTTTGAAGACTTTGACTTTGATGAGAATGTAACAGAGGACGCCGATAAATCCACACAA CGCCGCCCACGAGTGATCGATGTAACACCAAAACGAAAACCTTCGGGAAAGAGCTCCCAT TCCAAATGCGCAAAATGTTAAACCCTGATAAACCCTGATAAACGTTCTAATAAAAACATC AAATCATGGTTGGTTACTGTGAATGTTTGTTTTATTGCTTGGGGGTTTACAAGTACAACC CACGCTACTCCCACCCACTGTTTGATCGCTCGTATAACAGCTCATCCTCACGGTCCGTTT CATATGTTGAGTCATTTTCATAGACGTAGCCGTAGCCTTGTGATGGGTAATTTGTGCGGC GAGAATTTCTATGTGCAGGTTTTACTTTTCGTATGTATCCCCGTACCCGCTCGGGTACTC TTCTTACGGCACCGTAGAACCGACTGCGTTTCTGTCGATGATACACATATGCACGCATCA ATCTGAGAAGCAACATGACAACGGAAAACACGGCCAGGCAAGCCAAGGTTCCCCGAGTTG TGGGAATTAACCGTGGAGATTGAACCGATATAGGGTCATATAATCGGTCCATATACGAGT GCGCGGCGGTTCCCAACGTAGCACAGGCCACGAGCGTTCCCAGGGACGGTCCTATTAACA CGTGTATATAATGCGCCAAAATTAATTCTGATACTATAAGATATACAACTGACAATGTAC TAAATGTAGACATGGCCACGGACACCGATGACCACAGTCCCGTATGTAGATGATTCGCCA CCACAAGTTCCAGCATTAATGATACAAATAGGATACATATCGCCATCAACGCAGCCATCA AATTCACGAACACTGCGCGCGTAGGCCCCGCAAGGCGATATAAAAAGACGCTCTGCTGTC GTAAATTTGCGACCGCTTTTATGTTCGTTTCGTCCAATTTTCCGCGTCCACAAAAATACG TTGTAAATATTACACTTGTCGCAAAATGTCCAAGATATAATGTAGCAGCCACGCCGATTT GCTTGTAAGCTAATAATAACACAACGGCGTTTAATAACCACAATGACAAAAGACCCCAAA AAAGTGTTGTGGGATCTACAACTAACCATGCAACACCGGAGCTTTGCCGGACACGTTGAT TTTTCGTTTCTCGGTGTATAATCGCGGCCGTGATCAGTGTATATACCGCCATGGCCATTG CCGTTAAAGCCGTGTAGTAAGTAAATGCCACAACGCTATGTGGTTCCAAAAACAAAACCG GGGCGCTGTATCCACCTCTATTTCCGGACCATACCCCCCCATCTAGGGTGGCGTTAAATA ACTCATAATCAACTACGGCAGCATAAAAACAAGGGATCCCGGTATATTCAGAAGAGGCGG CAATTAACGTAGCCAGGAGCATTACCGCACCCAAAGTGAACATCATCACCTGAATTATCC AAATTCGCCAATTAAGCGTATCCATTTGATGATCTAACGCTTCCACCTCGGGTGTCGTGG TGTCGTACGGTGAGACTTTTTCAGAACGCGGCCCCTTCTTTTGAGTTCCCATGTCTCCCA ACACCGGGGAGAGCAACGCCGCCGTCTATGCGTCCAGTACACAGCTCGCGCGGGCTTCGT GGATTAAACACACCCACCCGGGAATTAGCCTGGAACTGCAATTGGATGTTCCAGTAAAAC TAATAAAACCTGGTATGTCACAAACTCGCCCGGTAACCGTCGTACGTGCCCCTATGGGCT CTGGTAAAACAACAGCCTTGCTTGAGTGGCTTCAACACGCGTTAAAGGCAGATATTAGCG TACTGGTTGTCTCATGTCGCCGTAGCTTTACCCAGACGTTGATTCAACGGTTTAACGATG CAGGCCTCTCCGGATTCGTAACATATTTGACATCCGAGACATATATTATGGGTTTTAAAC GTTTGATTGTGCAACTTGAAAGCCTACACCGCGTATCCAGCGAAGCTATCGACAGCTACG ACGTATTAATACTGGATGAGGTAATGTCAGTGATTGGACAATTATACTCCCCCACAATGA GACGTCTTTCCGCGGTTGATAGCCTATTATATCGTCTTTTAAATCGCTGTTCTCAAATTA TCGCGATGGATGCTACAGTAAACTCTCAGTTTATTGATTTAATCTCCGGATTGCGTGGAG ATGAAAACATACACACAATTGTGTGTACATACGCGGGAGTTGGGTTCTCCGGAAGAACTT GCACGATCCTGCGTGATATGGGCATCGACACGCTTGTGCGAGTCATTAAACGATCTCCTG AACACGAGGATGTACGTACCATACACCAACTACGTGGAACATTTTTTGACGAACTAGCAC TACGATTACAATGTGGGCATAACATCTGTATATTTTCATCAACTTTATCGTTTTCGGAGC TAGTTGCTCAGTTTTGTGCAATATTTACAGACTCTATTCTTATTTTAAACTCAACTCGGC CCCTATGTAATGTAAACGAATGGAAACATTTTCGCGTGTTGGTGTACACTACCGTCGTGA CCGTTGGATTGAGTTTTGACATGGCTCATTTTCATAGCATGTTTGCTTACATAAAGCCAA TGTCATATGGGCCGGATATGGTATCGGTCTACCAATCATTAGGGCGTGTACGGTTATTGC TACTTAATGAAGTTTTGATGTACGTCGATGGCTCAAGGACCAGATGCGGACCCCTGTTCT CGCCAATGTTACTAAACTTTACCATCGCAAATAAATTTCAATGGTTTCCTACACACACCC AAATAACTAACAAACTGTGCTGTGCATTTAGGCAACGATGTGCAAATGCATTTACACGCT CGAACACCCATCTCTTCTCAAGATTTAAATACAAACACCTTTTCGAGAGATGCTCTCTTT GGAGTTTAGCCGATAGCATTAATATCTTACAAACTCTTTTGGCCTCTAACCAAATTTTGG TTGTATTGGATGGCATGGGTCCAATAACGGACGTTTCCCCAGTTCAATTTTGTGCATTTA TACACGATCTCAGACATAGCGCTAACGCCGTAGCTTCCTGTATGCGTTCTCTTAGACAGG ACAATGACAGCTGCTTGACCGATTTTGGCCCTTCCGGATTTATGGCCGATAACATTACCG CGTTTATGGAAAAGTATCTTATGGAGTCAATTAATACCGAAGAACAAATTAAAGTATTTA AAGCCCTTGCATGTCCAATAGAACAGCCTAGACTAGTCAATACGGCAATATTGGGGGCGT GTATACGAATACCTGAAGCGTTGGAAGCATTTGACGTATTTCAAAAAATATACACGCACT ACGCTTCCGGTTGGTTTCCCGTCCTGGACAAAACCGGGGAATTTAGCATCGCGACTATAA CTACCGCCCCAAATTTAACCACACATTGGGAGCTGTTTCGCCGTTGTGCCTATATTGCAA AAACACTCAAGTGGAATCCGTCCACCGAAGGCTGTGTAACACAAGTTTTGGATACGGACA TTAATACACTTTTCAATCAACACGGGGATTCGCTGGCTCAACTAATATTTGAGGTTATGC GCTGTAACGTTACCGACGCTAAGATTATGGCATCCATCTAAGAATCCGGTTGTTCGCCAA ACCGGGCGGTTTAATATAATCTTCCAATCCCTACAAAACACGAATATAACATTGCTCTAT TTCGTTTAATTTGGGAACAATTATTTGGCGCCCGCGTAACTAAAAGTACCCAGACCTTTC CGGGAAGTACTCGTGTGAAAAACCTAAAAAAAAAAGATCTAGAAACTTTACTTGATTCAA TTAACGTGGATCGTTCTGCATGTCGTACCTACCGCCAGTTGTATAACCTGCTTATGAGCC ATCGCCATTCGTTCTCCCAACAGCGTTACAAAATTACTGCCCCCGCTTGGGCACGCCACG TGTATTTTCAAGCACATCAAATGCACTTGGCCCCGCATGCCGAAGCCATGCTACAATTAG CGCTATCGGAACTGTCCCCGGGATCGTGGCCGCGGATAAACGGGGCGGTAAATTTTGAAA GTTTATAACCCATTAATACCATATATGGACATCCATAGGGGGGGTTACATAAATACTAAG CCTCTGTACAACACAAAGGGCCTCTAACAATGCACTGAACCACAACCAAGCTATGGACGC AACGCAGATTACCTTGGTTAGAGAAAGCGGACACATTTGTGCCGCAAGCATATACACATC CTGGACACAGTCCGGACAATTAACACAGAACGGTCTTTCCGTGTTATACTACTTATTATG CAAAAACTCATGTGGGAAATACGTCCCTAAGTTTGCCGAAATTACCGTACAACAAGAGGA TTTATGTCGCTACTCCAGGCATGGGGGGAGTGTTTCTGCGGCAACGTTTGCGTCTATCTG CAGGGCGGCGTCCTCGGCTGCGTTAGACGCCTGGCCCCTTGAACCACTGGGTAACGCAGA CACCTGGCGGTGTCTCCATGGCACTGCCCTGGCCACTTTACGGCGCTTTAAATCGTTTTA TTCGCCAGTAACATTCGAGACTGATACGAATACAGGTCTTCTGTTAAAAACAATCCCCGA TGAACACGCGTTGAATAATGACAACACGCCATCTACCGGAGTATTGAGGGCTAATTTTCC CGTGGCCATTGATGTTTCAGCAGTCAGCGCATGTAACGCCCACACGCAAGGTACGTCGCT AGCCTACGCCCGCCTGACCGCACTTAAATCTAACGGTGACACCCAGCAACAAACACCTTT AGACGTGGAGGTAATTACACCAAAGGCCTACATACGTCGGAAATATAAGTCTACGTTTTC CCCCCCTATAGAGCGGGAAGGCCAAACCTCCGATTTGTTTAACCTTGAAGAACGCCGCTT GGTTCTTAGTGGCAATCGCGCAATTGTGGTAAGGGTACTCTTACCGTGTTATTTTGACTG TTTAACAACGGATTCCACCGTTACATCTTCCCTTTCAATATTAGCGGCATGTGGACTGTG GTACGCGGCGGCGTTTGGAAAACCCGGGGTTGTCCGTCCAATCTTTGCGTATTTAGGCCC GGAACTCAATCCGAAGGGTGAAGACAGAGACTACTTTTGTACTGTCGGATTTCCCGGATG GACCACTCTTCGGACACAAACTCCAGCCGTCGAATCTATTCGCACGGCTACGGAGATGTA CATGGAAACGGATGGGTTGTGGCCAGTAACCGGTATTCAGGCCTTTCATTATCTAGCCCC CTGGGGACAGCATCCCCCCTTACCTCCGCGGGTGCAGGATCTTATTGGGCAAATCCCTCA AGATACTGGACATGCAGATGCAACTGTCAATTGGGACGCGGGCCGGATATCTACCGTCTT CAAACAGCCTGTACAACTACAAGATCCAAAGTTTGATTTCAGCGCCTTTTTTCCCACGAT ATACTGCGCTATGTTCCCCATGCATTTTAGATTAGGCAAAATCGTCCTGGCTAGAATGCG TCGAGGAATGGGGTGCCTAAAACCCGCGTTGGTGTCTTTTTTTGGGGGGTTACGGCACAT ACTCCCGAGTATATACAAAGCTATTATTTTTATAGCCAATGAAATTAGCCTTTGCGTCGA ACAAACGGCCTTGGAACAGGGCTTTGCTATATGTACTTATATAAAAGATGGATTTTGGGG AATCTTCACCGATTTACATACGCGCAATGTATGTTCAGATCAGGCACGTTGTTCGGCCTT AAATTTAGCGGCCACCTGCGAAAGAGCAGTCACGGGCTTATTACGAATTCAACTAGGTCT TAACTTTACACCCGCCATGGAACCGGTACTCCGGGTCGAGGGTGTGTACACTCACGCATT TACCTGGTGTACCACGGGAAGCTGGCTGTGGAATTTACAAACAAACACGCCTCCGGATTT AGTTGGCGTGCCATGGCGAAGTCAGGCGGCGCGAGATTTAAAGGAGCGTCTTTCAGGACT CCTATGTACCGCAACAAAAATTCGAGAACAGATACAGGAAAATTGCATATGGGACCATGT CCTATACGACATATGGGCCGGACAAGTTGTGGAGGCTGCCAGAAAAACATACGTCGATTT TTTTGAACATGTTTTTGATCGCCGTTATACTCCGGTATACTGGAGTCTTCAGGAGCAAAA TTCGGAAACAAAAGCAATACCGGCATCTTATCTGACATACGGACACATGCAAGATAAGGA TTATAAACCAAGACAGATAATTATGGTTCGTAATCCCAACCCACATGGACCTCCTACTGT TGTTTACTGGGAATTGCTACCATCGTGTGCCTGTATTCCCCCCATAGACTGCGCTGCTCA TCTCAAGCCCCTTATACACACGTTTGTCACTATTATTAACCATCTTCTAGATGCTCATAA TGATTTTTCAAGTCCATCATTGAAATTTACTGACGATCCCCTTGCTTCATATAACTTCTT GTTTTTATGACAAAAAAACACGCCGCAACAACCCATCCTTAAAATAAAAGGTTTATTTCC CGTGGTGAATTTTTATACGTTTCAAATAACTGAACATTTTTCGGTGTTACCATGGTGCGA TTTAACCACCAAAAATATACGCTCTTCTGATATTCCGAATCTCGTAAAGGTCCATTTAAC AATCCCGGGGGCACTTGCACCACACCATCTGGACAGGGGGGGGTTCCGTGGGGCAGGTCA AAACGCTGACCCACCCCACATGAATATATAGCCTTTATAATATTGGGGGCCGTTCCAGGC TGAGGGTTCAGTAACTTAACAAACATATAATGCGGCAATACGCGGGTTTTTGTAAAGGGG TTGTTATCAACGACATACATTAGAGTGTTTAACAACCATAAAACTCCCTCATATAAAAAC CGACGCATTTTTTCCAAAGGTCCTATTTGACACTCAACGCGTCTAAGATATACAGACAAT TGTACAAACAGCGATGGAGATGCCCCGGAGGGCCCAATGCCTTCCAGATACATTAAAATA ACACATAAGGTAAAATCTAAAACATTATCCGGGCGGAATAGAGTCATCCGATAGATTAAC AGGCGCGGAGGCACCCCCACCGTATACACCCTATCTTCAACCGCAGTTAATACGGAAAAA ATAAATCCGCGGAACGCTGGTTGAGTAACACACTCCATGTAGTAACGATCACAGGACACC TCACTTGAATCACCATTCAACACTACTAAAACGGTCTCTTGGTGTTCCGGTTTTACGCGC AGTGATACAACAGAGTTTGCCAAAAAGCGTGGCTTCAAACCGGTTACCTCCCGCGCCTCG CATACGAATCTTGGTATTGCTTGTATTCTAAGATCTTCGATCACGTCGCTCACATCCAAC CCCTCTTCGGCTCGTGTTAGTAAGTTGTCGATCGTTACGCTGCAACCTAAAATGCTGGGT ATATTTATTCCGGACATCCCATCGGCCATCCCCGCGCCTCCGGTTTGCTCGAATTTTATC CAGTAAGGTCGAATCCGCTGCATTTACCTTGTGTACCCGTAACCTCTCAGGGGGGTGTCC TTTCATAAAATGGGATAGGTTTTTATATCCAACATGCATGTATTGGTTATTTATTTTATT GGGTTCCGGGATTCTTTCGTCATCTTCTGTAGGGTCAGGCAAACCCCAGGAAGGACTTGG CGTTCTCCGTGGGCCCCGTTTTATTACCTCTGCGCGAACCTATTTATCCCAAATCCGAAT ATTATATGAAATGCAGGTTCGCGCAGAGGTAATAAAACTGACGCATTTGAATATGATACA GAAATTTCCTGGCCTTGATTATTGTTTACCCGGTGAAGCTTAAAACAGCGAACAAGTTCC TGTTTCCATAGCTCAGACAAACGTTTTATATCATCTCCATAAGGGGGGATATAACGAGAT TGAAAACTATTGGCAATATATGCATCATCCCCTATTATGCCGGTAAGATCTATAACCTCG TGATTTAAATCGGCAATACGTGTTTCTTCTGCCATTGTAATATGTGACCCTTTAGATGGC TTTATTTTTACCCTCTCTTCCCGTAACCGTTTCAGCTCTCCTTCTTTGAACTGGAGCCTT TCGGTCAGATCGCTGTTCACATCCTTGAGACCCTCAATGGTTTTGAATAAATTATTCACA TAACCCTCGAGCATGCCGTTGATACTGTTAACCACCGATGTTTTAAACGCACTTTGAACG TTTGTTGTTCCGGACATTGCCCCCCCGTTAAAGGATTGGTTGGCCTTGCCAAACCCCGGT TGTGATGTGTCCACCGCTTCCAGAATGTGATTGCCCGTTTCTTCTAGATAGGAACGTACG GTTTCGGTAATATCTCCAACATGTCTCATGTTTTTTAAGTTAACTATTAGCTTTACAAGT CTAGACGCGGCCGATCCAGCCCGTGTTGTATCGTTCTCGCCCATTATACGATCAACCGCA CGTGTGCTGTGAGATCTATCATCTTCATTCCGGCGACCTATTAACACGCGCAAAGGGGCT GTATTTAAAACTTGGCAGACGCGAGCATGTTCACGTAATGCATAACAGGCCAACACCTCC CCAGAAAGCCGCTGTAAGGGTGAGTCAAATACTACACCCTCCCCACATACAACGGGCGGC CACACGACCAAACACTCTCCCTTCATGCCCGTTACATCATCCTTTGCCATAATTAATCTT CGGTTATAATTATAATAAAGACGCGTCCTATCATAATCCATAATAGCAACATTTTGCATA CACTCAACTAGGCTTGTGACAACCGCCGCCCCTCTGGCCAACGTTGCATCGGCAACTTTT AACATCTGGGACAGTTCTGCCGCTTGACTCATATACGTATTTAATGGTGCAGGGGTTCCA TCCTGTTCTGATCGTACCTTTCTTACAACGGGCACAATACCTACACAGGCTATCCAGTCC ACGTATTTGGCAAAACCGACCCTTCCATTTAAACCACTGGTATAGAGACAACCGGTTATT CCACGCAGAAACTCAAGTAACGATGACTGTAATGTTTGACGCCAGGTTTCAAAAACCTGA TGTGCAAGCCGTACGGCTTCTGATTCTCCACATAACCCATAACGTTCCGCTAGAGCCCCG GCATGCAGGTTACATTGTTGGATGTGGTGTTCCCAATCTGCTGCTAGGTCCTCATACCGA GTTGCATCCAACGCGTTCATCAAAACGGTTGCCTGAACTTGGCGAATTACAGTTTCCGTA GACCGTACAGCGCTATATATGCCTTGTCCATCGGTATATCCAAAGTCACCGGCTAGGATT TTTCGAAACAACATACTTTGCGTGGTTGGGTGTATTAACATCCAGCCATCTTCCTCCGGA AATGTACAAAACCCTATATCCGGGGCGTACTCATTCCAGTATATATCGAACATGTTCTTG TATTGGTCATTTGGGTTACTTCCATTCAAGCCCTGGTCAATAGAAACAGAACTTGCTATC CTTTTTTCTTCACTACCGGAACTGTTATTAAAAAGAGACGTTATTTCGGCCATTGAAAAC CACGATGAAAAGATCAATTTCTGTAGACAGTTCTTCACCCAAAAACGTTTTTAATCCAGA GACGCCCAATGGATTTGATGACAGTGTATATTTAAACTTCACCTCTATGCATAGCATTCA ACCTATCCTCTCACGGATTCGAGAACTTGCCGCAATTACGATTCCAAAAGAACGTGTTCC GCGGTTGTGTTGGTTTAAACAGTTACTCGAACTGCAAGCGCCTCCTGAAATGCAGAGGAA TGAGCTCCCCTTCTCCGTTTATTTAATTAGCGGAAATGCCGGCTCCGGAAAAAGCACGTG TATCCAAACGCTTAACGAAGCTATCGATTGCATTATTACCGGATCCACCAGGGTTGCTGC CCAAAATGTTCATGCTAAGTTATCAACGGCTTATGCGAGTCGTCCGATAAACACAATCTT TCATGAATTTGGTTTTCGCGGAAATCACATTCAGGCTCAGCTGGGCCGTTACGCATATAA CTGGACTACGACCCCCCCTTCTATTGAGGACCTGCAAAAAAGAGATATTGTATACTACTG GGAAGTTTTAATTGATATAACAAAACGAGTGTTTCAAATGGGGGACGACGGTCGCGGAGG AACATCGACATTTAAAACCCTGTGGGCAATTGAACGTTTGCTTAATAAACCTACAGGCTC AATGTCCGGAACCGCGTTTATCGCATGCGGTTCCCTTCCGGCTTTTACCCGGAGCAACGT TATTGTTATTGATGAAGCAGGATTGCTAGGGCGTCATATTCTCACGGCCGTTGTTTACTG TTGGTGGCTTTTGAATGCTATATATCAAAGCCCTCAGTACATAAACGGTCGAAAACCGGT CATAGTATGCGTCGGTTCGCCCACCCAAACTGACTCGTTAGAATCTCATTTTCAACATGA CATGCAGCGTTCACACGTAACTCCTAGTGAAAATATACTCACGTATATAATCTGCAATCA AACTCTGCGTCAATATACTAACATCTCACATAACTGGGCAATCTTTATTAATAACAAACG ATGTCAAGAGGACGATTTTGGAAATCTTTTAAAAACGCTTGAGTACGGGCTACCTATTAC CGAAGCACATGCGCGTCTGGTCGATACATTTGTTGTACCTGCATCCTATATTAACAATCC TGCTAATCTTCCCGGATGGACGCGTCTGTATTCGTCGCATAAGGAGGTGAGCGCGTATAT GAGTAAGTTACACGCGCATTTAAAACTATCGAAAAATGACCATTTTTCTGTGTTTGCCTT ACCGACTTATACATTCATCCGGCTAACGGCATTTGATGAATACCGCAAATTAACGGGACA ACCCGGACTTTCTGTTGAACATTGGATACGGGCAAACTCCGGTCGTTTGCACAATTATTC CCAAAGCCGAGATCATGACATGGGAACAGTTAAATACGAAACACATTCAAATCGCGACTT AATTGTAGCCCGTACAGACATCACTTACGTGCTAAATAGTCTCGTAGTTGTAACCACAAG ACTACGTAAGTTAGTTATTGGATTCAGTGGTACATTTCAATCGTTTGCAAAGGTTTTACG TGACGACTCCTTTGTGAAGGCTCGAGGAGAGACATCCATCGAATATGCTTACCGGTTTCT GTCAAACCTAATCTTTGGAGGCTTGATTAACTTTTACAATTTTTTGTTAAATAAAAACCT ACATCCCGATAAGGTATCGTTAGCATACAAACGGTTAGCTGCCTTAACCCTGGAGTTATT GTCTGGAACAAACAAAGCCCCCTTACACGAAGCAGCGGTTAATGGGGCGGGTGCCGGGAT TGACTACTTCTGCCGATAAAGCCTTCTGCTTTACCAGAGCCCCCGAGTCCAAAGTAACGG CCTCCATACCCGAAGACCCGGATGATGTAATTTTTACGGCACTTAACGACGAGGTTATTG ACTTGGTATACTGCCAGTACGAATTTTCCTATCCCAAATCATCCAATGAGGTCCATGCTC AGTTTCTGTTAATGAAAGCTATTTACGATGGTCGATATGCCATATTAGCAGAGCTTTTCG AAAGCAGCTTTACAACCGCCCCCTTTAGCGCGTATGTCGATAATGTTAATTTCAACGGAA GCGAGCTTTTGATCGGCAATGTGCGGGGGGGGCTGTTATCTTTGGCATTACAAACAGATA CGTATACCCTTTTGGGGTATACTTTTGCACCCGTGCCAGTCTTTGTAGAGGAACTGACCC GAAAAAAGCTGTACCGCGAAACTACCGAAATGTTATATGCTCTACACGTACCTCTTATGG TCTTACAGGATCAACATGGGTTTGTGTCCATCGTAAACGCTAACGTATGTGAATTTACCG AGTCTATAGAGGATGCAGAATTGGCAATGGCCACCACGGTGGACTATGGCCTTAGTTCTA AACTAGCCATGACAATTGCACGCTCACAGGGTCTGAGTTTAGAGAAGGTAGCTATCTGTT TTACGGCGGATAAACTGCGCCTAAATAGTGTGTATGTTGCCATGTCGCGTACGGTCTCCT CTAGGTTCTTAAAAATGAATCTAAACCCTCTACGGGAACGATATGAAAAATCCGCAGAAA TTAGCGATCACATTCTTGCCGCTCTACGTGATCCCAACGTACACGTTGTGTATTAAAGCA TTGTATAAAAACACGCATGCGGGCTTGCTGTTCTCATTTCTAGGTTTTGTCTTAAATACA CCCGCCATGAGCATCTCTGGACCCCCAACGACGTTTATTTTATATAGGTTACATGGGGTT AGGCGGGTTCTTCACTGGACTTTACCGGATCATGAACAAACACTCTACGCATTTACGGGC GGGTCAAGATCAATGGCGGTGAAGACGGACGCTCGATGTGATACAATGAGCGGTGGTATG ATCGTCCTTCAACACACCCATACAGTGACCCTGCTAACCATAGACTGTTCTACTGACTTT TCATCATACGCATTTACGCACCGGGATTTCCACTTACAGGACAAACCCCACGCAACATTT GCGATGCCGTTTATGTCCTGGGTCGGTTCTGACCCAACATCTCAGCTGTACAGTAATGTG GGGGGGGTACTATCCGTAATAACGGAAGATGACCTATCCATGTGTATCTCAATTGTTATA TACGGTTTACGGGTAAACAGACCTGACGATCAGACCACACCAACACCAACCCCGCACCAG TATACATCGCAAAGGCGGCAGCCTGAAACCAACTGTCCTTCTTCACCACAACCGGCCTTT TTCACATCAGACGACGACGTTCTTTCGTTAATATTACGGGACGCCGCAAACGCGTAAAGA CAGATTCAAGACTAACATTTATCCCAACTGATTACATTTCATACGCGAATAAACGACACA AAAAATTTATATTTAACGGCTTTTAATTTGAAGACACCTATCCTCTTAACGTTGATGAGC CTTGCAGGTTGGGTGCCGCGCTTCACCGGTATTATACATAACCGATTTACCGTGTTTACG GCAGTCTGACCATTTACCAGTGTATGTCTGTAATACGACGTTGTTGTGTCCCGACAAAAT TAACTCGCGTACAAATTTCTGATGTTCCCCCGGCGTGGCAACGCTGGCATTTCCAAACAC ATTACGTTCTCGTACGTCCATGACCGCTATTTTCAGTATTAATTGGTTGGTCGGTCAAAG TATTTTCCTTATGTAAAAGGACACGATCTAAAGCCGTAAACTCGTACACAAACACTGGTA CCAACGGACGCGATTTTCCGTCCGTTGAGCGGGTGTAATATCGGCGAGGTCTTCTTGCAC GAATACTCTCGTACAGTAGGTTTCTGACACGGGGTGCATGGGTTTTTTGACACAACACAA ACATTTGCAGGCTCTTATGACTGGATGGATTGAATTTATTTTTAGATAGGGTCACGTGTT TTTGTCGTGACACGCCTCGACCAGAAAAGGCTGCGGTTTTCGTACACGCGACCGTTATTT CACAGGCGTTCATAACCAAGCTGCGGCGGATGGTGTCGGTTAATTGTCTCCGCCCAAGTT CGTCAATAGATGATACCATGAACAACGTATCAAATGGTACATAGTCGTCTTTGGTTTTCT CAATACAGCCCGCGTGCCCAATCGGAAAATTTTCATTTGCATCAACGCTATTTTCTGTAA AATCGTTCTGAACACTGTGTTGGCTGGCTACCTGTTTAAAATTTGGGATCGAACACGGTC CACGATGCAATCCCCAACCCCATTGAAGCAATGCCGTCGGTACGGAAGGAGGCAACTCCG AAAACATTATGGTACGCAAGAGGGTCGATTGGCCAATCGATCTCGGGTTCGCCTTTACGC GTAAAATACTCATTGGCTTGAACGAAATGTCGACAATTCCGAAATGGAACACGGGACAAT GGCGACGGATGCGCGTGTGTTAGCACCAGATGACATCTTGAATTCGGTTGGGTTGTCTTC TGTGCATGCGCACCCCACAGCATAAAAACTAACCCTGTACGGTTCTCGCATAACCTCTGT AGCACGCGTTGCACCAGCCGCCCCCAGCCTAAGTATACATGCGACCCCGGAGTCCCGCGA CGAACCGTAAGCGTGGTATTCAGCAATAACACCCCCTGCCTTGCCCAACTCTCCAGGCAT CCGTGAGTGGGCGGAGTCATATTTGGGTATGATTCCATGAGGGCCGCAAAAATATTTTTA AGACTAGACGGTGGTGTTATGCCACGTTTTACACTAAACGCTAGCCCATGTGCATGTCCC GCGGTAGGGTATGGATCTTGACCAATAATTACAACGCGAATGCTCTGGGGTCCGCAAAAT CGCGTCCATGCAAAAATATCGCCTGTAGATGGAAGTATTTCTTCCCCTGAATTTAAAAGA CGATTGTATTCTAAAAAAATACCTTTCGCGTACGGCTCTTTAAGTTCGTCCGACAACAGG TCATACCACTCAGGGGAAATGTTAAACTTGCTGAAAACTTCAACCGAATCCAGTTGCGAA GAGACGGGGGTGAACGTTTCCGTGTCGTAATGATGTGACATGTTATTTAACTTGAAGGTT GGGGGGTCTAGCTTAACCCCCAAAGGCAGCCCGCGGGGTCGCTTGCGGGTTTTTTTGGTA ACCGGATGGGCCAAAACATAAATGTCCTTTGAATCCGATAGTTTCATTTCATTGGCATAC GCGTTGGAACAAACGGTCGGCTCCCCAGACACATCCATTTTCCGGGATATTTGTGGAAGA TGGAGTAGAGTCTACCCATACACCGGAAAGGGCATCCAACAAAGCATCGCGTATGTCCCC GCTTTTATGTTCTTCACCAACAGATTGTGCCAGCCCCTTTAAGGTGACGTATGGATTTGT CCAGTACGCCATTTGTTTGTCTTTAAACCAAAGTATAACTTCCGGTACTGGACATTTTGT CTTAACCACGATTCCCGATAGCGCCTCGCTGAGGTTTGATACAGGGGGTGCCGCATAGTC CCACGCCTCATATACCGATGACACGCACGGTTCCGTTATAATCAAACTCACATCCGATAG CGGTTTGGCTCCAAAAAACAACGGAGTGTCGTCTTGGAGATGAAGACAATACGCGATTGT GATAGTTTTTAAAAAAACTATCTGCAGTAACCATTTATGTGATGCCATGACGCTATCGGA TGTGAGTTTGATTAATATACAGTTGGCCTTTAGTTAAACTCTTGGTGTCATATCTCATTT TCCTAAAAAGGGCGATCTTAATATGTCAAACGTCACGGCGTGCCGACAAAGCGAATTTCC ATGCAAGATTTGGATGTAGTATTTATACACCCAATCACATGTCACGTATTAAGCTTTACA GTCCCCCGTTATCTGATATAATCACTTTTCTTAACACGTCATCGGGAAAACAGATGTTTA TATTATACCTCTCGCGGTCATTTATGGCAAATACTTAGACCGTTTTCAAGCGGACTGAAA ACGCTCAAATTGCCTTTTGGAGGCCTGCCCAACGGCCATTATCCCTTGGATCTGAGATTG ATTTGCGGTAACGTTTGCCAAACCCACGCATTTCAGTTTAAATATTTCTAAGCATTCTTA GTGCGTACTTGGCAGCGTGCTTAAAATATCAACCAATATCCATTATGCTACACGTTTCCT TCTATCCGTTTCAATCCATTAAAAGTCCATTAACAAAAATGATGCATCATACCTAATTCA CCTAAAAACCTGACTCATTGCAGCAGCGTTTCCTCCTTGCAGACTATCCAGTTGGCAAGG AGGAAACGCTGCTGCCTTTACTGTAAGTACAAAACTAAAATTTATATTTGCGTGCGTATT TTGTAACATATATGCCTTTTATCCCCCCGCAAGTTTGCTTTACCCTCGCCTTCACCACCC CCGCCACCTTCCGGCCATTTTAATAACTTTAATTGCTATAAGACATACCCAAACCGGATG ATTTTTGCCGCTGGAAAAACAGCTTCTAATTTTCCCGTCTCAACTCGGCCTTGGTTGCAT CTCCAAGTATACCTTTAGTTTGCTCCCGTAGAGGTGTATAAATACAAACGGTGACAAGTA TTGAGCGTAATCTCAAATTTTTGTAATTTAGGGCGGAGCGCTTACGACAGCACATGCGTA CTGTTAGACTGTTATGTTTATTGTATTTGCAGAGCAGGATGCCCCGGTTACTCCGAGACC GGATTGCGGGCATTCCGAATCGTGTACGGACTTACCAGGGGGCAGTATTTACACCTTGGG TTCCAGATATACCAACCCTTACGACCAATAGCAACACTCAGGTATTTTTAAAATGCACGT TTAATGATCATAATTTACATACAGTTGGTAATAAAGCAGACTGTGGATGTTTAAGGCATT TCCTTCCCCCTCCCAACAAACTAGGACTTCTTCATCTTGTTTGGAATACCTTTACCCGCT TTACCGGCAGAGCTTTTTTTGGTAAGGTGTTTCAGTGAACCTGATGTTGATCCGGAGGTG GAGGGGGTATTGGACTCCCCCTGTGGAGAGGCAACTTTGCGGGTTTTACTTCCCTTACAT GCCGAATCAGACTCAGATGTCAGGTCTATTGTTAAGCATCGTTTAACGTCTCTGCCGGTA TGAAATAAACGGCGCTTAGCACCCCTTGCGCTTCCCGGTTTAATCCCCGGTAACACAGAA AAAAGCCTGACTTTTTGGGGTGTATTTACCAATCGGGTATCCCTTTCATCGCCACGAGAG GTCTCCCCGGTTGAGGTGGTTTCTGGTCTTACAATTGGACCTGTAATTAGTTGGATGGCT GTATCTTTCCAGGTCCAGGTTTGCATGGTTAGGCGGGTTGGATCGGTACATCGATCCAAC AAGAATAACATGTTTGTTACAAACGGTCCTGTTGAATCATGCAAAAGACAACGCAGGGAT GTTTTTAATCCCGCCTCATCACGCCCGTAAATACCTATATAGTTTAATATCAACATTTTT GTAGGCTCTACAATTTCGGGTTGATACAGTTCCGCAAGTTGATCATCAAGCCATCCGAGT AAAGGTTGCATGTAACACGGGAATCTCGCGTTTCCCTCTGTTCCTCTATCCGTGGCTCGA AAAGGCAGTCTGTCCATGGTTCGTGGGTCTTGATTAATTCCCACAGATACTGGACGATCA CGGTAGTCCTGCCCCCCGGTCCGGGGTTGCTGTGCAGATTCAATCGAGCCATACACCACC GGGGTCGCCGATCGAACAGCAGGTTGGTCTTTAAAAAATACCTTCCGTAAAAATGATGCG GTAGAGCATGTTTTGGTTACACCAGGGCTCGAGTCTCGGGTCGGTGGTTGTATAGAATCC TGTTGAGAGTCACTTGGTGACTCTGCTGTGGGCTCTCTAGCCGACGATTGAAGGGGCCCA GGGTTTGGTGATTGAATGGGCTCCCGACTCGATCTTGATGTTGGCTGTTGGATGGACTCC CGACTCGGTCCTGGGCTTGGTGGCAGAAGATCTATGACATCTCCCGGTAGGATGTCGATG GAATCTTCAAATGACGGCTCAGAAAAACCATCGTCGTCGGATGGGTGCACTTCATATTCC TTGTAACTTGTATCACTTACGATCTTATGCAGGATGGATTGCACTGGACACCGGCAGAGA GGACACTGGACGCTGGTGGAGGTCCATGCCCGAATACAAACAAAGCAGAAGTCGTGCAAA CACGGCATGGTTTTTCCGAGATCGGAAACGGTGCTCATGCATATGGTGCAGGTATTATCC GAAGCGTCGGAGGTGCCGCTACCGCCCGCTAATATGGTATCCATGGTAACAACTGGCTGT ATTCTAATGTCCGGGCATCCAAACACGTAGCAGAACTGCCATGCGTTTGGATGCCCGGAC ATTAGAATTGGTACCAACGAAGACACACCCCTATATCCCTCCACCCATTTCTTTTAAGTC CCACCCACTAAAACGTGGGTATAAAATGTGTATTGGGGTAGGCGGACAGTCCCAACAAAC AGGGAAGTTGATTGGTATAACCTTGGGCCGGGTATACAGCTAAGTGACATTTTAGATTCT GTCTTTATTTAGATAAAGAGCGATACGAAGACATTTCTCCACCCCCCTGTAATACCCGTA AATAAAGGTAAGTCCACAAACAAAAGCACTGTATATAGGAAGTCGGGTGTATTGGGACAG TTACTCCATTAGAGGCGTACAAACAATACTGGGATAGGGTAATGCAAGTCCCCCCCGATG GTCGCCCCGCAAACGCGCGGGGAGGTGGGGTCGCTTTTTTTTTTCTCTCTCGAGGGGGCC GCGAGAGGGCTGGCCTCCTCTCCCGGGGTCCGCCGGGCGCCCAGAAACCGGGGGGGGGTT ATTTTCGGGGGGGGGTCCGACCAGCCCGCCCGTCGCCCGCCCGCACAGACAGACAGACAC TTTTTTCATAAAAACCGTTCCGCTTTTATTAACAACAAACAGTCCGCGCGCCAGTGGCGC TCACGAGAAAAGGAGGGGACTCCGTCACCCCCGACTCTGCGGGGGGCTCCTCCCCCCGCG CCCTCCCCACACATCGTCCTCGTCCTCGGAGGACGAGGACGAGGACAACAGCTCCACCTT GACCGCCGGGCGCAAACCCACCCGGCGGTCTCGCAGCACACCCGGGGCCACCGACACGAT GCTCACCCCAAAGGATGACCCCGGTGCGTCCCCGTCGTCCCCGCCCCCCTCCTCGCTGTC CCACGCGTCTTCACACCCCACCTCCCAATCGTCCAGCTCCAAAGCGTGTTCTCTGTCGTC TGCGGTGCGCCGCTGTCGCCCCGCCTGGGTTTCTGACGGCCGTTCCGAGCCCCCGTGGTG TCCGAACACGAACCGTGTTCCGTCGCTCCCCTCCAACACCGTCTCCGCGGCCCCAAAACC GGGCGGCCACATTACTCTGGGAATCGGGGGGAGGGCATTCCGAGCCTCGTCCGCCGACGC ATACAGCGCCACCGACCGACCGGCCACGGGTGGAAGCACGAGTGGTTCTGCGGCAGGGTC GGGTTCCAGCAGGGCGTGGCGGCAAAACACCCTCGCCCAGGTGGGTACGTCGCCGGCCTC CGGCCCGGCGGCCCCCGGTCTCCGTCCCTCGGGAAGGAAGACGGGTCGAAGCGCGGCACC CAGGCCCCATCGGTTTGCTGCGCGGTGGCTATGTGCCGCCTCGTCCACAAAGTCGGCTGC CCCGAGCCCCAGACCCCGAGACTGTCGCGCGAGGTCCTTGCAACCGTCAAAACCCGGCAG CACGTACTGCCGGTATTCACGGGGCGACAGGGGGACGCGGGTCTTGGGGCCCGCGCGGGT ACACACGGTGTATGCGACGTTCCCACCGCGGCACAAACACAGGGGTTGTTCGCCCGGGTA CAGGTTGGCAAACGCAGTCTCGATACGAGCAAAACTCGCTGGCCCAAAGGTGCGCGACGA TGCAAACACGGCCCGGGCGAGTCCTTCTGTGACCGCCGAGTCTGGCCATCGGACGACGGC CTGGGCGTCCGGTCGCGCCGGGGCCCGGACGTACACGTGATACTGAGACAAAGCGGGTCC ATCCCTGGGCCACCTCTCGAGGGCCACCGCGTCCAACACCAGCAACCGGCGCCGGGCAGA GGCCAACCGCGAGCCTAGATACTCGACGGCCCCGGCAAAGGCCAGGTCTCGGGTCGACAG TAATAAAACGCCCCGGGCGTTCAAAGCGGACACGTCCGGCGGGCCGGTCCAGTTCCCGGC CCAGGCATGAGTGCTCGGCAGGCACAACCGGTTACTCAGGGCTGCCAGGACCACAGACAG TCCCCCTCGGGATGGACTCCATGACGGTCCCGGATCTGTCGCGAGGGTGCTCTCGAGGGG GCCGTTGATGTCCTCTCCGGGCAACGGATCGTAGATGATCAGAAGCCTCACATCCTCCGG GTCTGGGATCTGCCGCATCCAGGCGCACCTCCGTCGCAGCGCCTCCACTCCGCTGGGTGG ACCAAACCGTCGGTCTCCTCCGCCCGGACGCCGAGCGGCGATTTCCGCCAAGGCGCCGGG ATCAAAGCTTAGCGCAGGGCGCCAGGCCGTGGGAAACAATGGGTCGTCGACCAGACGGGC GATGGTTTCGGGGGTACAGTACGCCTTGCGAGCCTGGTCCGACGGGACCGGGGTATGCAG GGCCCCCCGGGGAATACGCCGAAATCCCCCGTTTGGGGCCGGTCCGTCAAGTGGCATCGT TATTACGGCGGGGGGATCCACCACAGGGCCCGAGGTGATGGTCACGGGCTCGGATACCCG CCTCTTGGCCTTGGAAACCACATGATCGTCTGCAACCCGGGCGTCCGCGACGGGTGTCTC CCTAATCTTGTCGAGGAGGCTTCTGCTCTCGACTGGCTGGGACTTGCGCTTGCGCGGAGT TCGTAAACGATCATCCGGTGGACACACAGAAAGAGAGCGTGCGGCGGCCGACGGCTGAGG GTCGGGAGCCTGTGTGGCCGGGGTTGTTGGAGAAGGGTGACCGCGGGAGATCCGCGCCGC CGGACTGGAGCCCGTTGCCTCGGGGTATGCCATGCTGGCAAAGGCTCTGCGGAGACTCTG TAGGATAAAGTGTTTTTGGGCCCGGTCGTATCGACGGCTCATAGCCACGGCCGCGGCCGC GTGGGGGAGAGCCCAGAGGGCCTCCCCCGTGGCCATGGCTTCGCCTACATGCGGAACGGG AGACGCTACGCTCCCCGTAACGGCGGTACCCGCCCGTCCCGGTGGCAACAGCTTTTGGTA GAACTGGTTCAGGGCCGAGTTGACACCGGTCAGCTTGGGGTTCTGGAGCCATGCTATAGG GTCTCTGTCTGGACAGTAGATCAGGTTAATCAGCGCGCGGTACTGTCTAGCCGGATCTCC CAACTCCGGCACGTAAAGCGGCACGGGTTCCGTTGAGGCCTCGTAACGAGCCCGCGCCGC TCTCACAGCCTCATCCTCCCAGTGACCCTCTCTGGTCTCCCCGGACGGTCCAAACCGCAC CCTGTTGGATGGGAGGGGTGCCGATCCGGGCCAAGGGCTTCCGTCGGGCATCATGAGCGG CCCCGACACCGGGGGAATTATCGGGGTTCTGGATCGCGGCAGGGAAAATGATTTCTGTCT CTGGCGCCCCGGTTCCCCCGCAAGACGTTTGGTCTTACGAATCCTCGGATCGGGACCGCT GATGGATCGATATCCCGGTTGGATATTTTGTTTCGTCGACCCACCATCATTTGAGTCCGA ATCATCCGAATTTGACGGGGAAGGGGCGTGTTCGCGTCCGGACCTGCTGCCTGTAGTTTC ACTTCCCACCGAAACGCGCCGGGGTTCATCGTCTTCATCCTCCGATGACGATCCCCACGA CGAGGAAGAGGATGAAGACGAAACAAACTCACGACTCTTTGGCTTTTTCTCCACTGGGCT GTCATCCTCAATCGGGTCTGGTGCGTGGGATCTTCCCGGCAGGGCCAAAAACGCTCTAGG TTTGCCCCCCGACGAACGTCCAGGGACGCGAGGTGTTATACCCCGGGCATCATGTTTCCT TGGGCGGGTATCATCGGTCTCAAACGGCAGGTCCGCCTTTGCCCCCTTAGCGGGAACGCT GTCCGAAAGGACGTGGTACAATTGCTCAACCGGGCCGGGTACAGGTCCACCGGGTTTCCG CGCCGGGAGTGGGACCTTAACCTTCAAAGTCTTTTTCTTCGGGCTCTTTCCCTGAGCGGG CCGTTGAGTTTTCTGGAGAACTACTCCGTCCCCCGATGCATGCGCATGACCCGCTTGCTC ATCGCCCGGCTTTTTACCCGAGATGGACTGAGTTTGTCTGTCTCGATGGACCACCGACGG CAAACCTGGTGAATTTCCTCTCGTCGTTTGTCGGGGTATAGACCGCTGGTCTTCCCGTTG ATCGTTCCCGGCGGCGTCTCCAACAGGAGACGCGGGGGATACAGGGGAGAAGGCCTGCGG GAACGGAGGGGTCGTACCTCTGCCCGTTTCCCCATCGTTCATCGGTGGTTTTGGAGACCT AGCAAGCTTCGTTCCGAGAGAGACTGTCTCAAGGGAGCGATCGGCTCCTGTTGGTTCTCG CGCGCCGGCCTCCGAGAATCGGGTGTGGAAGACCTCGGCCAGCGGGATTACAGGCGAGCC CATTAGATCCTGACCGTCCTCGCATACGTAGTCGTCTTGTGTTAGCTCTTCGCCAACATC TTCCGTTCTGGGTTCTGGTTGAAGTCCCGATACGGAGGGAATTGAAACGATCTCGTGTTC CCGTCCCACCATGACCCCGTTCTCTCCAAATAGTAGATCGTCAGGCTGACTCGAGGTGAC CACCCGGGCCCTGTGTTCGGCGGCCGCCGCGGCCGCGTCCAACAGGTCCATTAACTCCAA AGTATCAGGCGACCCCGCGCGTTGGGGTGTAGAGCGCTGCATCGGCGGCGTATCCATCGC ACTGGGGTGAATTTAGACGTACCCGAGTTTTCCAAACGCTCTCGCAGCCTTCAAAGGATT GCGATTGCGGTTGGTGAGGGAGTTCCAACAGTACTTAAAACGTGTTGTGCCCCCCCCTCG ACCGCATATTTCCTCCCCGTGTCGTCACCGTGTAAATATTCTTAATGATAAGACGATGTA GTGATTGGACGAGACTCGAGGCGGGAAGTTCATGGACCATAGTATGCGTTTAAGGAGAGA CCGCTGGTTGGCGATGTACGCCCGGTGTCTATTTCCGCATACCTTACAACATCATAACAA GGGATACCAGACATGTGAATTTCATTTACATATGTTTAAATAACAACCAATCATCGTGTG TCTACAGACGATATATAATATACATAAACACAATTGGGGTTGTCTCACATGCAAAACATC TTATATAACACGGGTTGTTTCCACCCATCCGGCATCTAGTTAATCAAATGCACGTCGACG GTGTGTTTGGGTCCCTCTCCGTCGTCATTACGTTCGCGCAATCAACAAGCGTATACACCA CCACCCCTCCCAACGATTATGTCAGGCGGCACGAAGCCCGCGATAACCCATAAAATACAC ACGGGGTTGTGGTGTTCACGTAACCCCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCG ATGGGGAGGGGGCGCGGTACCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCGATGGGG AGGGGGCGCGGTACCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCGATGTTTATAACC ATAATTCTCTAAACCGTTGTAGAAAATCACAAAAAAATTTATTCAAAAACAAGTCGAAGA ACTTCATATCTGAGGCATGTAAACCCGTTCGCACTTCCTGGGGTGGAATGGGGTGGGGTG GGGGGGTGAAAAAGGGGGGGGGTTAAATTGGGCGTCCGCATGTCTGTGGTGTACGCCAAT CGGATACACTCTTTTGATCTGCATTCGCACTTCCCGTTTTTTCACTGTATGGGTTTTCAT GTTTTGGCATGTGTCCAACCACCGTTCGCACTTTCTTTCTATATATATATATATATATAT ATATATATATAGAGAAAGAGAGAGAGTTTCTTGTTCGCGCGTGTTCCCGCGATGTCGCGG TTTTATGGGGTGTGGGCGGGCTTTTCACAGAATATATATATTCCAAATGGAGCGGCAGGC TTTTTAAAATCGATTTGACGTGATAAAAAAAAACACACGGGGCCCCCCCCTTTTTTTGGT GTTATAAAGGCAACCCAATCGAAGGTCTCCCGCCCCGGAATCCCCCATTGCCATTTTACC CAAGTAGCCTTATTCATAGATGTAAACGTTTGGGTGTGTGTTTTGTTGTGCAGGGTTCGT CCGATTCATAACGCGACAGCGTCGAGTCGGTTTTAAGGGAAAAGGTTACTACGGCCCCAA GGACATGTTTTGCACCTCACCGGCTACGCGGGGCGACTCGTCCGAGTCAAAACCCGGGGC ATCGGTTGATGTTAACGGAAAGATGGAATATGGATCTGCACCAGGACCCCTGAACGGCCG GGATACGTCGCGGGGCCCCGGCGCGTTTTGTACTCCGGGTTGGGAGATCCACCCGGCCAG GCTCGTTGAGGACATCAACCGTGTTTTTTTATGTATTGCACAGTCGTCGGGACGCGTCAC GCGAGATTCACGAAGATTGCGGCGCATATGCCTCGACTTTTATCTAATGGGTCGCACCAG ACAGCGTCCCACGTTAGCGTGCTGGGAGGAATTGTTACAGCTTCAACCCACCCAGACGCA GTGCTTACGCGCTACTTTAATGGAAGTGTCCCATCGACCCCCTCGGGGGGAAGACGGGTT CATTGAGGCGCCGAATGTTCCTTTGCATAGGAGCGCACTGGAATGTGACGTATCTGATGA TGGTGGTGAAGACGATAGCGACGATGATGGGTCTACGCCATCGGATGTAATTGAATTTCG GGATTCCGACGCGGAATCATCGGACGGGGAAGACTTTATAGTGGAAGAAGAATCAGAGGA GAGCACCGATTCTTGTGAACCAGACGGGGTACCCGGCGATTGTTATCGAGACGGGGATGG GTGCAACACCCCGTCCCCAAAGAGACCCCAGCGTGCCATCGAGCGATACGCGGGTGCAGA AACCGCGGAATATACAGCCGCGAAAGCGCTCACCGCGTTGGGCGAGGGGGGTGTAGATTG GAAGCGACGTCGACACGAAGCCCCGCGCCGGCATGATATACCGCCCCCCCATGGCGTGTA GTCTTTATAAATAAATACAATGGTTTGGCTCGTGTCTTTTTTTGATGTCTGTCTGTGGGG GAGTGGGGTGTTGTGGATATTAGAGGGTAGAGGGTGCTGGTTTGAACGTCTCCATTAACC CACGGGGTCCCCACACGGGCCGTGTGGTATGAATCTCTGCGGATCCCGCGGTGAGCACCC GGGCGGTGAATATGCCGGACTTTACTGCACACGACACGATACCCCCGCGCACCAGGCTCT CATGAACGACGCCGAACGGTACTTCGCCGCCGCGCTATGCGCCATATCTACCGAGGCCTA CGAGGCTTTTATACACAGCCCCTCCGAGAGACCGTGCGCGAGTTTGTGGGGGAGGGCAAA GGACGCCTTCGGACGGATGTGCGGGGAGCTCGCAGCGGATAGACAACGTCCACCCTCGGT TCCGCCGATCCGCAGAGCGGTGTTATCGTTATTACGCGAGCAATGCATGCCGGATCCACA ATCGCATCTGGAGCTCAGCGAGCGGCTGATATTGATGGCATATTGGTGCTGTTTGGGACA CGCCGGACTTCCGACTATTGGATTGTCGCCCGATAATAAATGCATCCGCGCCGAATTATA TGACCGCCCCGGGGGAATTTGTCACAGGCTTTTTGACGCGTACCTGGGCTGCGGGTCCCT TGGAGTCCCAAGAACCTACGAGAGATCCTGACACCCCATCCCTTTATATAGAAAAAAAAA ATAAATTTAAAACATACACCGGATAAAAGCGTACTGTTTTTTATTTAAATTTACACGCTC GGCGTTGCCCCGGTTCGGTGATCACCGGGTCTTATCTATATACACCGTGTAACTCGAACC CCCGTGACTCCCTCCAATCGCGTTACCAAACTCTTCTTCCGTATCCGTAGATTCCGAGTC CTCGAAATCGTCCACTTATCCAACAAATTGTGACGTTATATATCCCAAGGCAAAGGCCGC TCCCGTCATAGCAAATACAAAGACAATTATTAGCGTAATATAACAGAATTTTTTACGATG ATATATTTTATGTTGATATTTTCCAATTCGACGCAAAAATTCATCTGCCGTTTCATTTTC GCTATCACTATAATAACACTTTTCAGCCGAACGGCTCGGTTGTATGGCTGTTATCGTTGT ATTATTTGGTTGCGCTCGCGGGGTTACCACCGCTTCCATCAGTAAGGCCACGGCCTCACC CTCCATGGTGTTTTGTCCGGCCATAGAAATCCAGATTGTAAGGCCAGCAGGCTAGTTTAA AAGTGTTTAATACCACACCTTTTGATATTTATATACATGCAAGATTCTAGATTATTCATC AATAGGTCGTTTAAAGCGCGTTTTCATAAACGTTGTCAGCTATACCGACATTCTCACAAA GAGGTAAAGTTACCTTACGTTATTATTAAATAAAACATGTAGACATTATTAATAATCCTA GGAACAATCAAATCCATATTTGTAAGTTATGTTTAACCCCTCCCCTTTTTGTCATTATCT CCGCCCTCTTATAATCGGATCACTTTATAAGTGTGTCGGTGAGTATATTTTGTATAGTGT TTTTGGTTCATTAACACTATCAACATAAGTCGGGGTATACAAGTATAATGAACGACGTTG ATGCAACAGACACCTTTGTTGGACAAGGAAAGTTCCGTGGCGCCATCTCAACATCACCGT CACATATTATGCAAACATGTGGGTTTATACAACAGATGTTTCCAGTTGAAATGTCGCCCG GCATAGAATCTGAGGATGATCCCAATTATGACGTTAACATGGATATACAGTCTTTTAATA TATTTGATGGTGTCCACGAAACTGAAGCCGAAGCCTCTGTGGCATTGTGTGCAGAAGCAC GCGTTGGAATTAATAAAGCGGGATTTGTAATATTAAAAACGTTTACACCAGGGGCGGAAG GTTTTGCGTTTGCGTGTATGGACAGTAAAACATGTGAACATGTGGTCATTAAAGCGGGTC AACGTCAAGGAACGGCCACCGAGGCAACCGTGTTAAGAGCGTTAACCCACCCATCCGTTA TACAGCTTAAAGGAACGTTTACGTATAACAAAATGACATGTCTTATATTACCACGTTACC GAACAGATTTATACTGCTATCTAGCTGCAAAGCGCAACCTCCCCATATGTGACATTTTAG CAATTCAGCGATCTGTATTACGCGCGTTACAGTATCTTCATAATAACAGTATTATTCACC GTGATATAAAATCTGAAAATATATTTATTAACCACCCAGGTGATGTTTGTGTGGGAGACT TTGGAGCAGCGTGTTTCCCCGTGGATATTAATGCCAACAGGTATTATGGCTGGGCTGGAA CAATCGCCACAAACTCTCCTGAGTTATTGGCTAGAGATCCATATGGACCTGCCGTGGACA TATGGAGTGCCGGGATTGTATTATTTGAAATGGCTACAGGACAGAACTCGTTATTTGAAC GAGACGGTTTAGATGGCAATTGTGACAGTGAGCGTCAAATTAAACTTATTATACGACGAT CTGGAACTCATCCCAATGAATTTCCCATTAACCCTACATCAAATCTTCGTCGACAATACA TTGGTTTGGCAAAACGGTCTTCTCGAAAACCCGGATCCAGGCCATTGTGGACAAATCTAT ATGAGTTGCCAATTGATTTGGAGTATTTGATATGTAAGATGTTATCGTTTGACGCACGTC ATCGACCATCGGCAGAGGTGTTGCTTAACCACTCTGTTTTCCAAACTCTTCCCGATCCAT ATCCAAATCCAATGGAAGTTGGAGATTAAAATTCATTAAGCCTGTTAATAAAATATTGTA TAAATTGTGTTTATAACGTATAACCCGTTAAGGCAAATAGGGTACAAACGCGCAATGTTT TGAAATACTAATATAAATAACATAACCAATAGAAACTTAATACAGAGTCACGCCCCATTA CAACAAGGATAAAACACGGGATCATTTTCTTAACATTGTAGTAGCGCTGAAAAGCGTCCC CTCCCCCGGCTCACAGAGCTGCTCTTCGGTGTAGTTGGGTATACTGGTGCGCCTCATTTA ATCGCGATGTTTTTAATCCAATGTTTGATATCGGCCGTTATATTTTACATACAAGTGACC AACGCTTTGATCTTCAAGGGCGACCACGTGAGCTTGCAAGTTAACAGCAGTCTCACGTCT ATCCTTATTCCCATGCAAAATGATAATTATACAGAGATAAAAGGACAGCTTGTCTTTATT GGAGAGCAACTACCTACCGGGACAAACTATAGCGGAACACTGGAACTGTTATACGCGGAT ACGGTGGCGTTTTGTTTCCGGTCAGTACAAGTAATAAGATACGACGGATGTCCCCGGATT AGAACGAGCGCTTTTATTTCGTGTAGGTACAAACATTCGTGGCATTATGGTAACTCAACG GATCGGATATCAACAGAGCCGGATGCTGGTGTAATGTTGAAAATTACCAAACCGGGAATA AATGATGCTGGTGTGTATGTACTTCTTGTTCGGTTAGACCATAGCAGATCCACCGATGGT TTTATTCTTGGTGTAAATGTATATACAGCGGGCTCGCATCACAACATTCACGGGGTTATC TACACTTCTCCGTCTCTACAGAATGGATATTCTACAAGAGCCCTTTTTCAACAAGCTCGT TTGTGTGATTTACCCGCGACACCCAAAGGGTCCGGTACCTCCCTGTTTCAACATATGCTT GATCTTCGTGCCGGTAAATCGTTAGAGGATAACCCTTGGTTACATGAGGACGTTGTTACG ACAGAAACTAAGTCCGTTGTTAAGGAGGGGATAGAAAATCACGTATATCCAACGGATATG TCCACGTTACCCGAAAAGTCCCTTAATGATCCTCCAGAAAATCTACTTATAATTATTCCT ATAGTAGCGTCTGTCATGATCCTCACCGCCATGGTTATTGTTATTGTAATAAGCGTTAAG CGACGTAGAATTAAAAAACATCCAATTTATCGCCCAAATACAAAAACAAGAAGGGGCATA CAAAATGCGACACCAGAATCCGATGTGATGTTGGAGGCCGCCATTGCACAACTAGCAACG ATTCGCGAAGAATCCCCCCCACATTCCGTTGTAAACCCGTTTGTTAAATAGAACTAATTA TCCCGGATTTTATATTAAATAAACTATATGCGTTTTATTTAGCGTTTTGATTACGCGTTG TGATATGAGGGGAAGGATTAAGAATCTCCTAACTATAAGTTAACACGCCCACATTTGGGC GGGGATGTTTTATGAAGCCTTAAAGGCCGAGCTGGTATACACGAGAGCAGTCCATGGTTT TAGACCTCGGGCGAATTGCGTGGTTTTAAGTGACTATATTCCGAGGGTCGCCTGTAATAT GGGGACAGTTAATAAACCTGTGGTGGGGGTATTGATGGGGTTCGGAATTATCACGGGAAC GTTGCGTATAACGAATCCGGTCAGAGCATCCGTCTTGCGATACGATGATTTTCACATCGA TGAAGACAAACTGGATACAAACTCCGTATATGAGCCTTACTACCATTCAGATCATGCGGA GTCTTCATGGGTAAATCGGGGAGAGTCTTCGCGAAAAGCGTACGATCATAACTCACCTTA TATATGGCCACGTAATGATTATGATGGATTTTTAGAGAACGCACACGAACACCATGGGGT GTATAATCAGGGCCGTGGTATCGATAGCGGGGAACGGTTAATGCAACCCACACAAATGTC TGCACAGGAGGATCTTGGGGACGATACGGGCATCCACGTTATCCCTACGTTAAACGGCGA TGACAGACATAAAATTGTAAATGTGGACCAACGTCAATACGGTGACGTGTTTAAAGGAGA TCTTAATCCAAAACCCCAAGGCCAAAGACTCATTGAGGTGTCAGTGGAAGAAAATCACCC GTTTACTTTACGCGCACCGATTCAGCGGATTTATGGAGTCCGGTACACCGAGACTTGGAG CTTTTTGCCGTCATTAACCTGTACGGGAGACGCAGCGCCCGCCATCCAGCATATATGCTT AAAACATACAACATGCTTTCAAGACGTGGTGGTGGATGTGGATTGCGCGGAAAATACTAA AGAGGATCAGTTGGCCGAAATCAGTTACCGTTTTCAAGGTAAGAAGGAAGCGGACCAACC GTGGATTGTTGTAAACACGAGCACACTGTTTGATGAACTCGAATTAGACCCCCCCGAGAT TGAACCGGGTGTCTTGAAAGTACTTCGGACAGAAAAACAATACTTGGGTGTGTACATTTG GAACATGCGCGGCTCCGATGGTACGTCTACCTACGCCACGTTTTTGGTCACCTGGAAAGG GGATGAAAAAACAAGAAACCCTACGCCCGCAGTAACTCCTCAACCAAGAGGGGCTGAGTT TCATATGTGGAATTACCACTCGCATGTATTTTCAGTTGGGGATACGTTTAGCTTGGCAAT GCATCTTCAGTATAAGATACATGAAGCGCCATTTGATTTGCTGTTAGAGTGGTTGTATGT CCCCATCGATCCTACATGTCAACCAATGCGGTTATATTCTACGTGTTTGTATCATCCCAA CGCACCCCAATGCCTCTCTCATATGAATTCCGGTTGTACATTTACCTCGCCACATTTAGC CCAGCGTGTTGCAAGCACAGTGTATCAAAATTGTGAACATGCAGATAACTACACCGCATA TTGTCTGGGAATATCTCATATGGAGCCTAGCTTTGGTCTAATCTTACACGACGGGGGCAC CACGTTAAAGTTTGTAGATACACCCGAGAGTTTGTCGGGATTATACGTTTTTGTGGTGTA TTTTAACGGGCATGTTGAAGCCGTAGCATACACTGTTGTATCCACAGTAGATCATTTTGT AAACGCAATTGAAGAGCGTGGATTTCCGCCAACGGCCGGTCAGCCACCGGCGACTACTAA ACCCAAGGAAATTACCCCCGTAAACCCCGGAACGTCACCACTTCTACGATATGCCGCATG GACCGGAGGGCTTGCAGCAGTAGTACTTTTATGTCTCGTAATATTTTTAATCTGTACGGC TAAACGAATGAGGGTTAAAGCCTATAGGGTAGACAAGTCCCCGTATAACCAAAGCATGTA TTACGCTGGCCTTCCAGTGGACGATTTCGAGGACTCGGAATCTACGGATACGGAAGAAGA GTTTGGTAACGCGATTGGAGGGAGTCACGGGGGTTCGAGTTACACGGTGTATATAGATAA GACCCGGTGATCACCGAACCGGGGCAACGTCGAGCGTGTAAATTTAAATAAAAAACAGTA CGCTTTTATCCGGTGTATGTTTTTCTATATAAAGGGATGGGGTGTCAGGATCTCTCGTAG GTTCTTGGGACTCCAAGGGACCCGCAGCCCAGGTACGCGTCAAAAAGCCTGTGACAAATT CCCCCGGGGCGGTCATATAATTCGGCGCGGATGCATTTATTATCGGGCGACAATCCAATA GTCGGAAGTCCGGCGTGTCCCAAACAGCACCAATATGCCATCAATATCAGCCGCTCGCTG AGCTCCAGATGCGATTGTGGATCCGGCATGCATTGCTCGCGTAATAACGATAACACCGCT CTGCGGATCGGCGGAACCGAGGGTGGACGTTGTCTATCCGCTGCGAGCTCCCCGCACATC CGTCCGAAGGCGTCCTTTGCCCTCCCCCACAAACTCGCGCACGGTCTCTCGGAGGGGCTG TGTATAAAAGCCTCGTAGGCCTCGGTAGATATGGCGCATAGCGCGGCGGCGAAGTACCGT TCGGCGTCGTTCATGAGAGCCTGGTGCGCGGGGGTATCGTGTCGTGTGCAGTAAAGTCCG GCATATTCACCGCCCGGGTGCTCACCGCGGGATCCGCAGAGATTCATACCACACGGCCCG TGTGGGGACCCCGTGGGTTAATGGAGACGTTCAAACCAGCACCCTCTACCCTCTAATATC CACAACACCCCACTCCCCCACAGACAGACATCAAAAAAAGACACGAGCCAAACCATTGTA TTTATTTATAAAGACTACACGCCATGGGGGGGCGGTATATCATGCCGGCGCGGGGCTTCG TGTCGACGTCGCTTCCAATCTACACCCCCCTCGCCCAACGCGGTGAGCGCTTTCGCGGCT GTATATTCCGCGGTTTCTGCACCCGCGTATCGCTCGATGGCACGCTGGGGTCTCTTTGGG GACGGGGTGTTGCACCCATCCCCGTCTCGATAACAATCGCCGGGTACCCCGTCTGGTTCA CAAGAATCGGTGCTCTCCTCTGATTCTTCTTCCACTATAAAGTCTTCCCCGTCCGATGAT TCCGCGTCGGAATCCCGAAATTCAATTACATCCGATGGCGTAGACCCATCATCGTCGCTA TCGTCTTCACCACCATCATCAGATACGTCACATTCCAGTGCGCTCCTATGCAAAGGAACA TTCGGCGCCTCAATGAACCCGTCTTCCCCCCGAGGGGGTCGATGGGACACTTCCATTAAA GTAGCGCGTAAGCACTGCGTCTGGGTGGGTTGAAGCTGTAACAATTCCTCCCAGCACGCT AACGTGGGACGCTGTCTGGTGCGACCCATTAGATAAAAGTCGAGGCATATGCGCCGCAAT CTTCGTGAATCTCGCGTGACGCGTCCCGACGACTGTGCAATACATAAAAAAACACGGTTG ATGTCCTCAACGAGCCTGGCCGGGTGGATCTCCCAACCCGGAGTACAAAACGCGCCGGGG CCCCGCGACGTATCCCGGCCGTTCAGGGGTCCTGGTGCAGATCCATATTCCATCTTTCCG TTAACATCAACCGATGCCCCGGGTTTTGACTCGGACGAGTCGCCCCGCGTAGCCGGTGAG GTGCAAAACATGTCCTTGGGGCCGTAGTAACCTTTTCCCTTAAAACCGACTCGACGCTGT CGCGTTATGAATCGGACGAACCCTGCACAACAAAACACACACCCAAACGTTTACATCTAT GAATAAGGCTACTTGGGTAAAATGGCAATGGGGGATTCCGGGGCGGGAGACCTTCGATTG GGTTGCCTTTATAACACCAAAAAAAGGGGGGGGCCCCGTGTGTTTTTTTTTATCACGTCA AATCGATTTTAAAAAGCCTGCCGCTCCATTTGGAATATATATATTCTGTGAAAAGCCCGC CCACACCCCATAAAACCGCGACATCGCGGGAACACGCGCGAACAAGAAACTCTCTCTCTT TCTCTATATATATATATATATATATATATATATATAGAAAGAAAGTGCGAACGGTGGTTG GACACATGCCAAAACATGAAAACCCATACAGTGAAAAAACGGGAAGTGCGAATGCAGATC AAAAGAGTGTATCCGATTGGCGTACACCACAGACATGCGGACGCCCAATTTAACCCCCCC CCTTTTTCACCCCCCCACCCCACCCCATTCCACCCCAGGAAGTGCGAACGGGTTTACATG CCTCAGATATGAAGTTCTTCGACTTGTTTTTGAATAAATTTTTTTGTGATTTTCTACAAC GGTTTAGAGAATTATGGTTATAAACATCGGCGGGGTACCGCGCCCCCTCCCCATCGGCGG GGTACCGCGCCCCCTCCCCATCGGCGGGGTACCGCGCCCCCTCCCCATCGGCGGGGTACC GCGCCCCCTCCCCATCGGCGGGGTACCGCGCCCCCTCCCCATCGGCGGGGGGTTACGTGA ACACCACAACCCCGTGTGTATTTTATGGGTTATCGCGGGCTTCGTGCCGCCTGACATAAT CGTTGGGAGGGGTGGTGGTGTATACGCTTGTTGATTGCGCGAACGTAATGACGACGGAGA GGGACCCAAACACACCGTCGACGTGCATTTGATTAACTAGATGCCGGATGGGTGGAAACA ACCCGTGTTATATAAGATGTTTTGCATGTGAGACAACCCCAATTGTGTTTATGTATATTA TATATCGTCTGTAGACACACGATGATTGGTTGTTATTTAAACATATGTAAATGAAATTCA CATGTCTGGTATCCCTTGTTATGATGTTGTAAGGTATGCGGAAATAGACACCGGGCGTAC ATCGCCAACCAGCGGTCTCTCCTTAAACGCATACTATGGTCCATGAACTTCCCGCCTCGA GTCTCGTCCAATCACTACATCGTCTTATCATTAAGAATATTTACACGGTGACGACACGGG GAGGAAATATGCGGTCGAGGGGGGGGCACAACACGTTTTAAGTACTGTTGGAACTCCCTC ACCAACCGCAATCGCAATCCTTTGAAGGCTGCGAGAGCGTTTGGAAAACTCGGGTACGTC TAAATTCACCCCAGTGCGATGGATACGCCGCCGATGCAGCGCTCTACACCCCAACGCGCG GGGTCGCCTGATACTTTGGAGTTAATGGACCTGTTGGACGCGGCCGCGGCGGCCGCCGAA CACAGGGCCCGGGTGGTCACCTCGAGTCAGCCTGACGATCTACTATTTGGAGAGAACGGG GTCATGGTGGGACGGGAACACGAGATCGTTTCAATTCCCTCCGTATCGGGACTTCAACCA GAACCCAGAACGGAAGATGTTGGCGAAGAGCTAACACAAGACGACTACGTATGCGAGGAC GGTCAGGATCTAATGGGCTCGCCTGTAATCCCGCTGGCCGAGGTCTTCCACACCCGATTC TCGGAGGCCGGCGCGCGAGAACCAACAGGAGCCGATCGCTCCCTTGAGACAGTCTCTCTC GGAACGAAGCTTGCTAGGTCTCCAAAACCACCGATGAACGATGGGGAAACGGGCAGAGGT ACGACCCCTCCGTTCCCGCAGGCCTTCTCCCCTGTATCCCCCGCGTCTCCTGTTGGAGAC GCCGCCGGGAACGATCAACGGGAAGACCAGCGGTCTATACCCCGACAAACGACGAGAGGA AATTCACCAGGTTTGCCGTCGGTGGTCCATCGAGACAGACAAACTCAGTCCATCTCGGGT AAAAAGCCGGGCGATGAGCAAGCGGGTCATGCGCATGCATCGGGGGACGGAGTAGTTCTC CAGAAAACTCAACGGCCCGCTCAGGGAAAGAGCCCGAAGAAAAAGACTTTGAAGGTTAAG GTCCCACTCCCGGCGCGGAAACCCGGTGGACCTGTACCCGGCCCGGTTGAGCAATTGTAC CACGTCCTTTCGGACAGCGTTCCCGCTAAGGGGGCAAAGGCGGACCTGCCGTTTGAGACC GATGATACCCGCCCAAGGAAACATGATGCCCGGGGTATAACACCTCGCGTCCCTGGACGT TCGTCGGGGGGCAAACCTAGAGCGTTTTTGGCCCTGCCGGGAAGATCCCACGCACCAGAC CCGATTGAGGATGACAGCCCAGTGGAGAAAAAGCCAAAGAGTCGTGAGTTTGTTTCGTCT TCATCCTCTTCCTCGTCGTGGGGATCGTCATCGGAGGATGAAGACGATGAACCCCGGCGC GTTTCGGTGGGAAGTGAAACTACAGGCAGCAGGTCCGGACGCGAACACGCCCCTTCCCCG TCAAATTCGGATGATTCGGACTCAAATGATGGTGGGTCGACGAAACAAAATATCCAACCG GGATATCGATCCATCAGCGGTCCCGATCCGAGGATTCGTAAGACCAAACGTCTTGCGGGG GAACCGGGGCGCCAGAGACAGAAATCATTTTCCCTGCCGCGATCCAGAACCCCGATAATT CCCCCGGTGTCGGGGCCGCTCATGATGCCCGACGGAAGCCCTTGGCCCGGATCGGCACCC CTCCCATCCAACAGGGTGCGGTTTGGACCGTCCGGGGAGACCAGAGAGGGTCACTGGGAG GATGAGGCTGTGAGAGCGGCGCGGGCTCGTTACGAGGCCTCAACGGAACCCGTGCCGCTT TACGTGCCGGAGTTGGGAGATCCGGCTAGACAGTACCGCGCGCTGATTAACCTGATCTAC TGTCCAGACAGAGACCCTATAGCATGGCTCCAGAACCCCAAGCTGACCGGTGTCAACTCG GCCCTGAACCAGTTCTACCAAAAGCTGTTGACACCGGGACGGGCGGGTACCGCCGTTACG GGGAGCGTAGCGTCTCCCGTTCCGCATGTAGGCGAAGCCATGGCCACGGGGGAGGCCCTC TGGGCTCTCCCCCACGCGGCCGCGGCCGTGGCTATGAGCCGTCGGTACGACCGGGCCCAA AAACACTTTATCCTACAGAGTCTCCGCAGAGCCTTTGCCAGCATGGCATACCCCGAGGCA ACGGGCTCCAGTCCGGCGGCGCGGATCTCCCGCGGTCACCCTTCTCCAACAACCCCGGCC ACACAGACTCCCGACCCTCAGCCGTCGGCCGCCGCACGCTCTCTTTCTGTGTGTCCACCG GATGATCGTTTACGAACTCCGCGCAAGCGCAAGTCCCAGCCAGTCGAGAGCAGAAGCCTC CTCGACAAGATTAGGGAGACACCCGTCGCGGACGCCCGGGTTGCAGACGATCATGTGGTT TCCAAGGCCAAGAGGCGGGTATCCGAGCCCGTGACCATCACCTCGGGCCCTGTGGTGGAT CCCCCCGCCGTAATAACGATGCCACTTGACGGACCGGCCCCAAACGGGGGATTTCGGCGT ATTCCCCGGGGGGCCCTGCATACCCCGGTCCCGTCGGACCAGGCTCGCAAGGCGTACTGT ACCCCCGAAACCATCGCCCGTCTGGTCGACGACCCATTGTTTCCCACGGCCTGGCGCCCT GCGCTAAGCTTTGATCCCGGCGCCTTGGCGGAAATCGCCGCTCGGCGTCCGGGCGGAGGA GACCGACGGTTTGGTCCACCCAGCGGAGTGGAGGCGCTGCGACGGAGGTGCGCCTGGATG CGGCAGATCCCAGACCCGGAGGATGTGAGGCTTCTGATCATCTACGATCCGTTGCCCGGA GAAGACATCAACGGCCCCCTCGAGAGCACCCTCGCGACAGATCCGGGACCGTCATGGAGT CCATCCCGAGGGGGACTGTCTGTGGTCCTGGCAGCCCTGAGTAACCGGTTGTGCCTGCCG AGCACTCATGCCTGGGCCGGGAACTGGACCGGCCCGCCGGACGTGTCCGCTTTGAACGCC CGGGGCGTTTTATTACTGTCGACCCGAGACCTGGCCTTTGCCGGGGCCGTCGAGTATCTA GGCTCGCGGTTGGCCTCTGCCCGGCGCCGGTTGCTGGTGTTGGACGCGGTGGCCCTCGAG AGGTGGCCCAGGGATGGACCCGCTTTGTCTCAGTATCACGTGTACGTCCGGGCCCCGGCG CGACCGGACGCCCAGGCCGTCGTCCGATGGCCAGACTCGGCGGTCACAGAAGGACTCGCC CGGGCCGTGTTTGCATCGTCGCGCACCTTTGGGCCAGCGAGTTTTGCTCGTATCGAGACT GCGTTTGCCAACCTGTACCCGGGCGAACAACCCCTGTGTTTGTGCCGCGGTGGGAACGTC GCATACACCGTGTGTACCCGCGCGGGCCCCAAGACCCGCGTCCCCCTGTCGCCCCGTGAA TACCGGCAGTACGTGCTGCCGGGTTTTGACGGTTGCAAGGACCTCGCGCGACAGTCTCGG GGTCTGGGGCTCGGGGCAGCCGACTTTGTGGACGAGGCGGCACATAGCCACCGCGCAGCA AACCGATGGGGCCTGGGTGCCGCGCTTCGACCCGTCTTCCTTCCCGAGGGACGGAGACCG GGGGCCGCCGGGCCGGAGGCCGGCGACGTACCCACCTGGGCGAGGGTGTTTTGCCGCCAC GCCCTGCTGGAACCCGACCCTGCCGCAGAACCACTCGTGCTTCCACCCGTGGCCGGTCGG TCGGTGGCGCTGTATGCGTCGGCGGACGAGGCTCGGAATGCCCTCCCCCCGATTCCCAGA GTAATGTGGCCGCCCGGTTTTGGGGCCGCGGAGACGGTGTTGGAGGGGAGCGACGGAACA CGGTTCGTGTTCGGACACCACGGGGGCTCGGAACGGCCGTCAGAAACCCAGGCGGGGCGA CAGCGGCGCACCGCAGACGACAGAGAACACGCTTTGGAGCTGGACGATTGGGAGGTGGGG TGTGAAGACGCGTGGGACAGCGAGGAGGGGGGCGGGGACGACGGGGACGCACCGGGGTCA TCCTTTGGGGTGAGCATCGTGTCGGTGGCCCCGGGTGTGCTGCGAGACCGCCGGGTGGGT TTGCGCCCGGCGGTCAAGGTGGAGCTGTTGTCCTCGTCCTCGTCCTCCGAGGACGAGGAC GATGTGTGGGGAGGGCGCGGGGGGAGGAGCCCCCCGCAGAGTCGGGGGTGACGGAGTCCC CTCCTTTTCTCGTGAGCGCCACTGGCGCGCGGACTGTTTGTTGTTAATAAAAGCGGAACG GTTTTTATGAAAAAAGTGTCTGTCTGTCTGTGCGGGCGGGCGACGGGCGGGCTGGTCGGA CCCCCCCCCGAAAATAACCCCCCCCCGGTTTCTGGGCGCCCGGCGGACCCCGGGAGAGG ================================================ FILE: tests/input/TestImputeFromReference/expected.sub.ebov.impute.fasta ================================================ >test_sub-EBOV.genome-1 TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAA TGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCC ACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAAT CAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCC CCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTT CCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGG AACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTT CTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTA TTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTT GTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCT GCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACT AATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAAC TAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAAC GGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAAC ACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTG CACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACG AGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAATACACCCGTG TATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAAC GACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAG AACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAA AACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGT GCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATC ACAGGCGGGAGAAGGACTTAGTAGCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGC AACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGG ATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAA GATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAACAATCTCTCCAGCTGTTCCTG AGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTG CTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACAT GATTGGACCAAGAACAT ================================================ FILE: tests/input/TestImputeFromReference/ref.sub.ebov.fasta ================================================ >test_ref TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGA ATGGAGTGGCAACTGACGTGCCATCTGCGACTAAAAGATGGGGCTTCAGGTCCGGTGTC CCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGA AATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCT TCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTT GCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTA CCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGA AGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCG AGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGAC AGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACAC CACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACC ACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGC CTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCAC AGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCG ACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCT GCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCT TGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCA CCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACAT CACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGC CGGACCCTTAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCG CCACCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCAC CAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTAT TGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCA ATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCT GCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGA GGGGCTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAA CGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATC CTCAACCGTAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTT GGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACAT ================================================ FILE: tests/input/TestImputeFromReference/test.pseudo.fasta ================================================ >pseudo_used_test_ref CTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGC TTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAAC TGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGAC GGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGT GCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCC ACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCC CAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAG GACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACT AATGAGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGCTGACTCCCTGGACCTCGCCA CCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAG ATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTG GAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTTAGTAGCGAAGAGAAGTAATTGTCA ATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTG CAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGG GGCTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAACAAT CTCTCCAGCTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTA AGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACT GCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCA ================================================ FILE: tests/input/TestKMA/ref.fasta ================================================ >NC_045512.2_Wuhan-Hu-1_partial ATTAAAGGTTTATACCTTCCCAGGTAACAAACCAACCAACTTTCGATCTCTTGTAGATCTGTTCTCTAAACGAACTTTAAAATCTGTGTGGCTGTCACTCGGCTGCATGCTTAGTGCACTCACGCAGTATAATTAATAACTAATTACTGTCGTTGACAGGACACGAGTAACTCGTCTATCTTCTGCAGGCTGCTTACGGTTTCGTCCGTGTTGCAGCCGATCATCAGCACATCTAGGTTTCGTCCGGGTGTGACCGAAAGGTAAGATGGAGAGCCTTGTCCCTGGTTTCAACGAGAAAACACACGTCCAACTCAGTTTGCCTGTTTTACAGGTTCGCGACGTGCTCGTACGTGGCTTTGGAGACTCCGTGGAGGAGGTCTTATCAGAGGCACGTCAACATCTTAAAGATGGCACTTGTGGCTTAGTAGAAGTTGAAAAAGGCGTTTTGCCTCAACTTGAACAGCCCTATGTGTTCATCAAACGTTCGGATGCTCGAACTGCACCTCATGGTCATGTTATGGTTGAGCTGGTAGCAGAACTCGAA >NC_002645.1_SARS-CoV_partial ATATTAGGTTTTTACCTACCCAGGAAAAGCCAACCAACCTCGATCTCTTGTAGATCTGTTCTCTAAACGAACTTTAAAATCTGTGTAGCTGTCGCTCGGCTGCATGCCTAGTGCACCTACGCAGTATAAATTAATAACTAATTACTGTCGTTGACAGGACACGAGTAACTCGTCTATCTTCTGCAGGCTGCTTACGGTTTCGTCCGTGTTGCAGCCGATCATCAGCACATCTAGGTTTCGTCCGGGTGTGACCGAAAGGTAAGATGGAGAGCCTTGTCCCTGGTTTCAACGAGAAAACACACGTCCAACTCAGTTTGCCTGTTTTACAGGTTCGCGACGTGCTCGTACGTGGCTTTGGAGACTCCGTGGAGGAGGTCTTATCAGAGGCACGTCAACATCTTAAAGATGGCACTTGTGGCTTAGTAGAAGTTGAAAAAGGCGTTTTGCCTCAACTTGAACAGCCCTATGTGTTCATCAAACGTTCGGATGCTCGAACTGCACCTCATGGTCATGTTATGGTTGAGCTGGTAGCAGAA >MN908947.3_SARS-CoV-2_partial GTTTATACCTTCCCAGGTAACAAACCAACCAACTTTCGATCTCTTGTAGATCTGTTCTCTAAACGAACTTTAAAATCTGTGTGGCTGTCACTCGGCTGCATGCTTAGTGCACTCACGCAGTATAATTAATAACTAATTACTGTCGTTGACAGGACACGAGTAACTCGTCTATCTTCTGCAGGCTGCTTACGGTTTCGTCCGTGTTGCAGCCGATCATCAGCACATCTAGGTTTCGTCCGGGTGTGACCGAAAGGTAAGATGGAGAGCCTTGTCCCTGGTTTCAACGAGAAAACACACGTCCAACTCAGTTTGCCTGTTTTACAGGTTCGCGACGTGCTCGTACGTGGCTTTGGAGACTCCGTGGAGGAGGTCTTATCAGAGGCACGTCAACATCTTAAAGATGGCACTTGTGGCTTAGTAGAAGTTGAAAAAGGCGTTTTGCCTCAACTTGAACAGCCCTATGTGTTCATCAAACGTTCGGATGCTCGAACTGCACCTCATGGTCATGTTATGGTTGAGCTGGTAGCAGAACTCGAAGGCG ================================================ FILE: tests/input/TestKbPython/palmdb_clustered_t2g.txt ================================================ u1 u1 u10066 u1 u10121 u1 u10124 u1 u102609 u1 u102640 u1 u1058 u1 u10660 u1 u109 u1 u10928 u1 u10950 u1 u10973 u1 u10989 u1 u111220 u1 u11160 u1 u112438 u1 u12893 u1 u12986 u1 u130132 u1 u13117 u1 u13593 u1 u13663 u1 u13817 u1 u13850 u1 u1389 u1 u1391 u1 u1440 u1 u14731 u1 u1477 u1 u15150 u1 u15195 u1 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u296396 u296399 u296399 u296402 u296402 u296403 u296403 u296405 u296405 u296406 u296406 u296409 u296409 u296410 u296410 u296414 u296414 u296415 u296415 u296420 u296420 u296422 u296422 u296423 u296423 u296424 u296424 u296432 u296432 u296433 u296433 u296439 u296439 u296446 u296446 u296459 u296459 u296464 u296464 u296471 u296471 u296472 u296472 u296473 u296473 u296475 u296475 u296476 u296476 u296477 u296477 u296478 u296478 u296482 u296482 u296483 u296483 u296488 u296488 u296489 u296489 u296493 u296493 u296494 u296494 u296495 u296495 u296496 u296496 u296498 u296498 u296508 u296508 u296509 u296509 u296516 u296516 u296517 u296517 u296521 u296521 u296523 u296523 u296535 u296535 u296539 u296539 u296546 u296546 u296547 u296547 u296549 u296549 u296552 u296552 u296554 u296554 u296558 u296558 u296562 u296562 u296570 u296570 u296578 u296578 u296580 u296580 u296581 u296581 u296582 u296582 u296583 u296583 u296584 u296584 u296590 u296590 u296592 u296592 u296596 u296596 u296597 u296597 u296598 u296598 u296599 u296599 u296607 u296607 u296608 u296608 u296609 u296609 u296613 u296613 u296616 u296616 u296623 u296623 ================================================ FILE: tests/input/TestKbPython/palmdb_rdrp_seqs.corona.fa ================================================ >u4907 IETDISKMDKSQGAVHQYIQDMMFHVLGLDLEIIQMWSDAHGRCQIRDSDCGFSFATLWQ RRTGDACTLLGNTIVTAVVNHYVLDFTKFEAVGVIGDDFTG >u5166 AIADAKSFDSQQSPLTLEIERQFMKRLGANMPSLEQYYQIRNPMEFRXFNLFSGKTRGEK GSGFPDTLLGNTILQTCLSTYVFEGMGPMVVAAKGDDHLR >u9210 TCNDFSEWDASFRQAFVKLTSWLLIAAGCPRALVEEYEKFRESWVMQYRTMWGNASLHGE EKQFSGNPFTICENTIGNMALCFTLFEYKGFQFAYFKGDDSAV >u10985 LELDLSKQDRQTSKEILSKHFTFMQALGLTDGHNALYQELLLTWSFNSRTKIRGNLPPMH MSGGTFTGLGNELRNLYILSDINAMYPIDYSWSLGDDSIS >u11438 STNDYTAFDQSQTGEALSFELMMLRAFGIPDGVISYYTELKLELTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPSDTAIAVAGDDLAM >u11684 YECDMSAFDKSLERTMFSGVLELYRSFGLSDADCELWEILHRLTLSRSRAGISFYTSYQT KSGDPATALGNTLATMIALARVMHAVSPQLSLFMGDDSLL >u11814 KESDIRKFDKSQQEKVLRAEQKVLMLFGFPPQLAELWLRVHEDTILIDRGLGIMFRVRWH RKSGDASTFLGNSLVLLMVLCSTYDLTKAVMVVFPGDDFYI >u12665 CESDLEACDAGQDETTMLFERKMMELFDVPQIAIDFLFFIRKNWKLSARDLASVDNEGKK HSGAPDTLDGNTIVNAAIVARMFKITRLILAMFKGDDTFI >u12968 SWNDFTAFDQGQDASFLAMEVNLMEKLSIPASEIAFYIHLKTNTFSNLGSFSIMRFTGEV FTFIFNSLANMAISNLRFVLDRSGKPICFGGDDSCF >u15124 YEFDVPKFDKSQDMMCFNLILEVMSILGISQEFIQYWRRASYEGTIFNSAFSMVFTLFYG NRSGSGGTLAVNCICLLFAFYTEFANLSIVAALIKGDDSII >u15127 SENDFEAFDSTQNEEFLTAQVALMHALQLPVPLIQDYINWVTHLSIFAGELGIMIASGYK PTWLFNTFDNMCIAALSFGLTPHTSVLGDLPYHNPLPATRSVARAFSGDDSAH >u16744 IEIDISQMDKSQMELHQLIQDKVFLRLGADPEFIFKWKEAHRLCHMAEASVGFAFTTSWQ RRTGDAATLLGNSVVTLVVNNYVLGFKNFVAVGCVGDDFSG >u17082 IENDFSDYDRSQDALALAIERWVDYYCGFDGEYCDAWFNAHVFTNNRNHVTGLSAFLLYQ RKSGDVSTSYGNTVVGMVVVAWGYKLPSFVFCIFLGDDSIF >u17899 FAADATEFDSSQNYTALLFLSKFINYLLGLTNSKLVNNFICMNQVANLVGPKFTTRVCYN RHSGEPFTIFCNTLFNMGLAATFLEGRIDFVGFKGDDMII >u18032 LAADVTEFDSVHSQVTKEVEKILMQKCELPQPIIDLYMHMRNKWKLSTYSVGYLHGEHKQ HSGQPATLFSNTFLAMMIMIIGLDEEEMEKGNYMMMAKGDDTVL >u18851 YEDDYTGFDGTQNEDFLAFQVLLMGWYGIPTNIIETYVLWVTHLRDALGECGVWIASGFI PTWLFNTADNMAFQALKHALTTHTWSPSDVARSFSGDDSTH >u18993 IQVDISEYDKSQESRTRHLEDLIFRELGMLDDYIDLWSYSHIDTTIRVLGMGIKMVVAYQ RKSGDATTALGNVMLNMMASAYVFGKPTVSISQGDDGLI >u19711 WEMDFSKQDRQTDQNAMEFEFHLYEKLGMDQETLELWKSCHATWISRSSHTKGKREWMRK TGDASTALGNAINNFRAILRLAEDPRFRGALILGDDSHV >u20466 LTCDFSEFDSSQEKQGILSSCMILKMMGFDGDLVNFYMAKRKDWTLINQDENFNMPLRTM LDGEYMQHSGQPFTLDGNTMFNMSCMGMCFEFVNMIFASFKGDDSYI >u20478 LENDFKAYDKTQDNIALEIELHFLKLLGVPEDMIEMWRSGHVYTRATCRETGFLLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFQNHNDAKHKLRCAFFLGDDSLF >u22346 TINDFTAFGSSQGGESVTMDLCWFRWCSMPESLCDLYVGFKTKLLALGAIKVICRDDGEP GTYLFNSLYDIGNTAAKFSPMALWLGYWLFGGDDMAT >u24448 TWCDYTGWDSGVNESFTLLYTDVLRSYGVPSAVAARFASDRHSLRSFLGPMPAMQASGDR YTWLANTLGNMALTGISFDLPADVPACFSGDDMIL >u25128 TACDYTGWDSGVDESFTLLYSNVMRAFGIPDSVVDRFCSDRNNLRSFLGPMPAMQASGDR YTWLANTIGNMAVTGVSFDVGPKTAACFSGDDMIM >u26309 LSNDFTEFDSAQNNVEKHLIRIILTEIGCPAHVINHYENLRSRRLVYGSAARFVLHDKRD SGEPFTLIGNTAFNAAVVLRLVLGDVRFAIFKGDDSYV >u26790 YANDYTSFDQSQTGEVLASELLYMWHAGIPEVIINCYESNKVDMFCAFGHLQTMRFSGEP ATYAFNCRCNLAVLNLQFPLDRNLNVPIFVSGDDGGL >u27314 IENDFSAYDKSQDDACLELEMLFLRRLGFPPDLLDMWETGHIFTRIRAFDSGFTLWTMYQ RKSGDVTTSFGNTILNMIAVAWCYFKSAVDCWNDVIFAWFLGDDSTL >u27647 VQNDLQKQDKQTVMQIIQIQMLIYKYLGMQNNLVDFWRLMHIDWQLRSKYSTTMATAQRL TGQATTAIGNVITNLIVHTDFIKYNMSQLKLMLVLGDDFVA >u28806 ISLDGSAFDSSQFECLMRLVDDKFWRGMRPFIRRVIQHNWDGMVNTPANSVDKITEQLMK ALLKSQNLVFVHLPGVKSPSWPPQVRKQFFRDVEQAGQWKNGDPEEDWIYLELNGTTFSG HSTKTTLGNTLRTLCYAWFYIMKAGISQTPWNSNKVFAIASGDDCVI >u30539 TASDYNAFDSSQRGDSLGLEYKLMEYLHISNNWSLAFELFRSEAATLPDLYLNWKLDTVS NLGFVKRSGRDTGEPGTYDFNTYFNMAVYRLMYGALPGLPACFGGDDLAA >u30705 IMNDFGGYDAAQGRALSLECDLMEALNWPKEIINSYIWHKTNARARNLKNGAYLAPMRFT GEVWTYVFNTLFNIVIINIKYEIGSRSVLISGDDSAI >u31688 YEGDAEMYDQSQSFGPLNFEREVLRVFGVKDFAVRLFRTLAENEYLVMSRDRESKLLIDK GERALRDTGGANTSFGNGVIMALSWTAVILRTGLNCVSILISGDDSLV >u32186 VDVDANRFDASFNELCRKLERLIYVKYGLHLDIIRMLEKQDRINGTSFVGCRVFETVKSG KRRSGEQNTSIGNSLVNGSLVLAYLRKIGVVGHCLVLGDDLVI >u32205 VDNDFSSFDSTQSKHALGLVYDFYEMCGMDTDIVNLMRKDTIKGCRIFTNCGVKLHARNI RISGRGDTLIGNTVLNCLIMNHAAGGWLRKMIIKGDDSVL >u32590 YEGDASMFDQSQSTGPLDFEYRCLHVLGVDPGVTNCLRQLSKAKYIYSSIDGVGKLSVDK TLRPMRDTGGADTSIGNSINMAHAWVYALGSVVHIIVSGDDSLV >u32831 VESDFSEFDSGQNDLTLRCEEMIMRKFHVPESAIFLYVSMRKKWKLSARDVATLYGAYKQ HSGQPATLFGNSLVTLLIIAEVCDVTDALVLVKGDDCCI >u33284 FEADARNFDCTESHGPLEWERSVLLRLGIPFQICQALYASASNTLRAMPHRREGDQVAFE IDCKERPMRRTGDADTYLGNTIVMISAWYFVLQMITYEKHCPWDDPGVAILACGDDSVV >u33295 VEGDFSTYDQTQTTSIINKFETEIYNCDAETHQFFNDMTRTDLELRVRFSHYTFRIRRPD GKRNSGGYNTSTGNSLVTGCAWVNALVHTDYLRDNTIVIIVVGDDSLV >u33693 EEDDYTAFDQSQDAAFLEFELLLMRHLGIPDHLVQEYEQHKRCTKCQIGVRDLAILRFSG EFGTFILNCTANIAYTNLKYNIPRNAIQLYAGDDLVV >u34022 LENDMSRFDSTQTPEALHLVHLFYSLAGLPITAIECLQSDLSDVKVSTSVGINCHVKGFR LSGRSDTLVGNTILNLLIMYHAFPSLKRVIVKGDDSVM >u34211 SADDFEAFDQSLDENFAEAERHLALNVYHIPPELVEQVVEFKVTMRWMGRELAHMILSGF PGTWFANTTNNIAYQATKYALDRGVAAAYSGDDSGY >u34481 IECDMTQFDQSQGPETLSREVYHMRHYSVPENLIDLYIWQKTHLRHQFGTSDVMRFTGEP ATYYFNTCMNEAYLHCRYHLNGVAYAISGDDSLI >u34954 GDADGSKFDKLQQEFALLCELYLYKLLGWRGFDFDKWFEAVDHKSMLSYRAKLRLQLAFQ RSSGNRNTALGNSIVMLLAVFSKVNIEYDQLLCAINLGDDITF >u35481 IEMDMKKQDRQTDQGEIENEELIMIKLGFPKFMMEKWHSYNSDWRYVSGSGIRARRNWFR KTGDEMTSLGNAIKNLSGLAAPFIKFGAERVLVLGDDSIA >u35664 KAIDFAEFDSRVVDAGPRLNALLMFYMFCPSYLCQEYTQQRSNWVLDTGIIKLLGFDKMH SGEPWTLMGNTLYNMAVIGCVYLIDGLVVAGFKGDDSGI >u35682 VSTDWSEYDSTHNKVAMYVFAEVLRWVGTPEPLVKYFQARCGRRNLVSDAGTVTVNWMLD SGAVWTLAKNTVYSAGFLFAATLGVRMGFFKGDDALL >u35840 FEADARMFDQSQSFGPLQAEYFALQCYGVPSHICDMLFAVASNRYVVRPSDKDKHLEPLY LDKKARPIRDTGGADTYLGNTLVMAMAWFLVLTEPDQNYSLGFAILVCGDDSVV >u35853 LEGDASMYDQSQSYGPLNLENHVLVKCGLSYEASRILTLLSANTYALRYKETHTKTHIKR TERPIRDSGGVNTSIGNSIVMAHLWCYSLLTKACFILVSGDDSLV >u36358 LATDFTQHDTSHSYIIKLWMLKDFLDMGFDACAMAEFFHAYEDWMQTARIDDELIASVHN FFIQHSGSPDTLHGNTKLTMAANGMAYRFRNLRFGSFKGDDSLI >u36827 FESDLSKQDRQTDAHSLAFEYMLYEKLGVPIHINNFYKLQHKNTRLTHSNFRTQTKPKRH TGQTTVGFGNIINNMRTYAQLFNDKEFDFVCLLGDDLLA >u37152 LENDFSSFEASVSDAIMDIVECEAFRFFFKKVLTKERLAELIADVKTSVFGYKTFTGVVR GRRKSGDLWTSTGNGFTNLVVLLVAAHMSSTKIVAAKVEGDDSLV >u37183 IELDLSMCETTMRGPFLVLESMIYKALGLSLYDIDYLLNHDKSHGKSMKGNLRFNMTFCR ESGTANTTPGNTVVFMAVLWATLLKHGMTENDFVCLIGGDDAAI >u37789 TTNDYEAYDQSQNAECLIFEVMLLEYFNIPDDLIEFYKFLKVSANTQFGNLEIMRLTGEW CTFLFNTYVNIAYSTFKFQELRLPRKLKPASAFGGDDLVI >u37921 STCDFTAYDQSCRAETLSFELCLFDFFSLSSEFPDAVFLYFFIKTHMFTQFGPSAIMRFT GEFGTYDFNTWYNIAYMSFRFLLDERSPDEASAFSGDDSIF >u38952 LELDLSKQDRQTDAPIIEAEMDFLCALGMHPEVMDSFRNILKPSFVKTADNLSFHLPVMQ WTGGELTAFGNTFRNLLFIADLWDECDFDYAMVLGDDSLI >u40536 FEGDASMYDQSQSFGPLSYEYRFLQILGVPPEVIEILVTLSQNVYELRTKDPQYHGIIDK YKRPMRDTGGTDTSLGNSLIMAVAWIFVALRKDVAIIVSGDDSLV >u40538 VEGDASMFDQSQSHGPLSFERKILARLGLDPETCDMIERLARATYVIRTPSGAIRIHRAD RPFRDTGGGETTLGNSLVMGVGWLYTWQALAAMTLWPATGIHIGISGDDSVC >u40718 MDNDFSSFDCTQNKRALSLLNKFYKMCGIPGKVIGQFAKFQMGARMRAKYLSTFVTKGHR VSGTADTLVGNTILNFIISNHVQPKLLKVIAKGDDSVV >u40733 GENDYEAFDATQHVACRLLIIEMLVEHFGMAPEVARLMRAAAKEKFGHTMNGTYVSMEGT MASGHPDTYLTNTMMNILLQWYASECCGVHQPPIAAAGDDSVI >u41736 TESDYSGFDATQKGDSVGFEVGLMRHVGLDDAWTALFADFSGYAETMPELYEFWKTHIVS TVIGPKDLGRDTGEPGTFDFNTYFNLALVILMYDPPRTLPICVGGDDMSA >u42095 AVYDVSEFDSKQSADTQFLEDIEYELFCDKSLLWFYRQLRLSAPQASKVVRLRKFGVKDS GESATLQSNTSVIKWLMLIATRVTCPKIEAFKGDDVFI >u42152 FEGDASMYDQSESFGPLSLGWMACRRLGVDSGTIKLLSELASNSYLVCAKDSTDQNYFRI NKRNRPLRDTGGADTSLGNSLVMGCAWYYVIKKCFKSSFNFAAIVVSGDDSFV >u42218 LVNDFKQFDSAQDETSILAFASFLKMLRMPEVCIKLYTKLRLRWVMALRGSNLQQDTITL LRGVFKKHSGEPATLDGNTWFNRAVTCMCIKWKNPYIAGFKGDDSII >u43280 ISLDGSAFDSSXFECLMRLVDDKFWRGMRPFIRRVIXHNWDGMVNTPANSVDKITEQLMK ALLKSXNLVFVHLPGVKSPSWPPXVRKQFFRDVEXAGQWKNGDPEEDWIYLELNGTTFSG HSTKTTLGNTLRTLCYAWFYIMKAGISXTPWNSNKVFAIASGDDCVI >u43947 LEIDQSRYDGTLCEHAIALEHAFYQRFMVYRQTGAVGDQFRECIKAMKSTNVYLVNGVKA HYHAGRQSGDANTSVGNSYINAVVISYALWEAGIRFGSYRMLVLGDDNLV >u44041 LEADIEAFDKSWQTLHLDFLTELLVIMGFPAFSVNLFQKHMYGSTYRSRDCGISTFVGVQ QKSGMFMTYLGNTIITMAVFAAAGNITKFKLGIFGGDDSVV >u44289 LENDFSSMDRTQGVHALEAEARILQTLGIPEEKTKILFDTMLKNPVYKAEKLGVKIKLQM PPQRATGAPDTTIGNTIINIMSVIYALNECRRMACIVAGDDFYA >u44293 WEGDFSMFDQSQSKGPLNLEYEVLQSLGVPKFVTDRMRRLSYASYVLHTKDKEGAERAII SRADRPMRDTGGSDTTIGNSIVTAHAIAHVMKKFCRKGNAIFFIVAGDDSLV >u44807 IEGDAGMFDASESKGPLKDEEENNRKLGVDEETLEILCELSSNTYVARSRKDTQVLMIIK THCWKRDTGGPNTSTGNSNVMGNSWFYTVLETWHCKMISIIVCGDDSLL >u45995 LEGDWTEFDSSQNNVEHELLMMQLEAIGCPAELRDLFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDHVLFKGDDSLM >u46005 LEIDFSKFDKSQARMCHLFEMFFWEQLGMDQYLNGLWRAGHYTTSALDFSTGVKAFFLYQ RKSGDAATAFGNTLVAMASLARAADVSGFATAMFVGDDSLL >u46307 LEGDWTEFDSSQNNVEHELFMMQLEAIGCPEELRDLFMLMMLKRGVHSSFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETISHVLFKGDDSLM >u46786 TWCDYTGWDSGVNESFTLLYTDVLRSYGVPSAVAARFASDRHSLRSFLGPMPAMQASGDR YTWLANTLGNMALTGISFDLPPDVPACFSGDDMIL >u47256 LEYDASKFDKSQGYLALEVEIEIMRRFGFPEIVLSKWKEAHEQSYIKDYGTGMKVKLNYQ RKSGDSMTLLGNTIITMSTLSMVYDLDDAVFGLFVGDDSLI >u47560 AENDMKEYDTSQNEITIENEIKWLKRMGCNELFIRLFKKHRIEWKANYPGYCQLIGYAKK HSGEPFTIDFNTLLCMALNGLLFPLEHFVFAAFKGDDSEI >u48052 VACDISEQDTTKTEATHLVFRWLFEAIGVPSHTYDIVQQACIRWTGFGLDFSINNVETFQ SGINWTYLNNTVDSMARIGASFEIEGLRLAMFKGDDAYV >u48136 LEGDWTEFDSSQNNVEHELLMMQLEAIGCPAELRELFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDHVLFKGDDSLM >u48145 VSGDDSLVIVWSETSNISVYEGDFGMFDQSQSVGPLTFEYAVLKRLGVPHDIVERMEGLA HATYLFRTRDKRSSAEVRVDLTRRPMRHTGGTDTTFGNTVVN >u48846 TCNDFSEWDSSFRSCFAKVTSRLLIMIGCPEKLAQWFENFRESWRMEYRHEFGKTVLSGF EKQFSGNPFTICENTIGNMALCFISFEYKGLDFAMFKGDDSAV >u48950 TTSDYTAYDSSQKGDSLGLEHLLMYHFGLDKCWTLLFADYVKAFKTVPELYLHWKTHIES TVIGSKETGRDTGEPGTYDFNTYFNLALISLMYKPRRGIPIAVGGDDMAT >u49101 SWNDFTAYDQGQDASFLRMELTLMERLCLPQDVIDYYSWLKTSTFSRLGSFAIMRFTGEV FTFIFNSLANIAVSSMRYYFAPGRACMFGGDDSCF >u49200 STNDYTAFDQSQTGEALSFELMMLRAFGIPDGVIAYYTELKLELTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPSDTAIAVAGDDLAM >u49619 CSGDDSIVAEFYPTHMVFWEGDASMFDSSQSKGPLKFQYLMMHCLGVDASITLSLYKVAH ATLVVRPKKNDYDFDILRVDRSQRPHRDTGGADTYIGNTLVM >u49874 VEVDYSKFDKSQGEAILLFECLLFNWLGMPQQFIEHHYRSHSESFVRCSTTGFSATTQYQ RKSGDPWTFHGNSIVTLATIVHALAGYSVVGVVAYGDDSIV >u49885 LEMDMGKFDKSQGLTALLFECEVFRKAGMDTWMVNLWFLSHFLIRVKGFGTSIRLSIPHQ RRSGDPWTYGGNTFFLLAILLKMCGNRLRYLMVSGDDSLA >u49925 VAGDDFFAIVREKDEIFYLENDFAKFDRTQGVHAQDAEAKVLKLLGMSERISYILFTTMN LQPRYENKRLDHQAIYHMPAQRATGAPDTTIGNTINN >u50292 GTNDYSAFDQSQTGEALSLEVVKMRVFNIPEHVIHYYEELKLTLTCQFGSLAVMRFTGEG PTLLFNSDFNTALIGCQYEMPPDTPLMVAGDDSAI >u50293 LENDFAKFDKSQLEVVYWFEYYLFKSFGMDEYLLEIYLNANRTSRFYDAKHGVSANVNYQ RKSGGATTWLGNSLFTLCVLLCVYDIEDIIAMLVAGDDSFV >u51315 TTCDYTRYDFGCRGPTLNFELCLFEWGNLPGVLGQIYVDIKLTMMTQFGHVAIMRFTGEF GTYDFNTWWNMAFQALKFHLGDVRFSKIKACMFSGDDSLF >u51320 LEIDFSKFDKSQTEICFEIEMAFWSLLGMDEALHDLWKIGHFNVSAMDFQAGIKAYLQYQ RKSGDSATAFGNTIISMASVAYAFTAPEVTAAYFIGDDSLI >u51336 LEIDFSKFDKSQTEICFEIEMAFWSLLGMDEALHDLWKIGHFNVSAMDFQAGIKAYLQYQ RKSGDSATAFGNTIISMASVAYAFTGPEVTAAYFIGDDSLI >u51666 MSIDLSQQDSSHVNVHRFFIGKVLAFLGFDDTVVSLYLMTRAKRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSTGTSVCTFDFSKFELFIGKGDDNTV >u51885 LESDFANNDGSQSVEFRRREAMFYAKHGAPAWFVREFARNTSVRVWTRYGIEATVYGQRW SGETTTTTGNSYVGSVLLLASALLAGIKKSTHIHGGDDFMG >u52027 TTNDYTAFDQSQTGEALALEQIILKVFRVPEHVISYYITLKLELTCQFGELAVMRFTGEG PTLCFNSWMNDAIIGVQYVIERDTPTAVCGDDAAI >u52034 IESDAKNNDGSQSKEFRKYEAMFYRKLGAPDWFVREFARTLKVRVWTRYGICAEVSGERW SGETTTTTGNSYVHMALIQAAHERAEIKNSTNIHGGDDYLG >u52061 MSIDLSQQDSSHVNVHRFFIGKVLAFLGFDDTVVSLYLMTRAKRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSTGTSVCTFDFSKFDLFIGKGDDNTV >u52073 TINDYSNFDATQGGESVVLELAVLQWSGLPDYIVQGYAHWKTHIVTSFIGLKQTSRDSGE PGTWDGNTWYNIANCALKFGYQALRRGTWLFSGDDMAC >u52086 IEVDISKFDKSLLMWAFWYLRLLMIQFGVPEWIADLYYSVHLLTTMVDVQTGVKLETFCQ MKSGDPITFPGNSFITLGTLLYCLSDIDDIQLMMFGGDDSLI >u52094 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELMALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKVARAFAGDDSLF >u52280 TESDFTLFDSSQNGRGVAFEELKMEYFRLPTVDIDFYVELKLTSESFLGTLPVMRFSGDV NTLLGNSDFTIAVMNLRFRIGCCIRLGRNVLHCGDDFAC >u52508 STCDFTKYDMSCKAETLSFELCLFSYFGLDVIFPDLVNDYFFIKTHMYTQLGTSGIMRFT GEFGTYDFNSWYNIAYMAFRFKLNPLDTRGSAFSGDDSIF >u52700 MSIDLSQQDSSHVNVHRFFIGKVLAFLGFDDTIVSLYLMTRAKRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSTGTSVCTFDFSKFELFIGKGDDNTV >u53148 FELDVSKYDKSQEAVWLDAQCIVFKLLGMCDQMIDLWRVLHEMCILTAPKFGATYRVGYQ RRSGDALTWFGNTLVLLMMMAYLYPIEEAHMVLLGGDDNVT >u53181 TCNDFSEWDASWRGCFTEFTCTLLRYMGCPKPLVEDYKLFRDDWIMTYMTAFGNVTLSGR EKQFSGNPFTICENTLGNMALCFSIFEVRDMQYAMFKGDDSVI >u53329 LEIDMAKFDKSQGERILEMTCEIMRLFRVPEAYIQEWKNCHIINRLVFHKIGVSLKVKYQ RRSGDVSTFIGNTIVTMIILSYVYDLKSPECKGGVFGGDDSLI >u53415 TTNDFTAFDQSQSADALALELMLLRYLNVPESMISLYTEIKLETKSFLGVLAIMRFTGEW CTFLFNTLFNIAYTSLMYNLDPLTPCAFAGDDSII >u53442 CENDYTQYDKCQNGEFLNFEIYLMKHYCIPSYLLDFYVNNKIGLHSFVGHHATQRGTGEG PTFDANTDCNIAIDSLKFEIPKGTPAAYAGDDMGR >u53621 ASGDDSIMASGGLDGTRDYIEGDQSMFDQSQDEAPLSFTAEIFRECGIPEDFIDLFWYCC KQGYTVRKGRLEVKGSPGTQMPTGVVVTTLTNSMNT >u53921 STNDYTAFDQSQTGEAVSLELTNLRAHHIPDEVIEYYIDLKLNLCCQFGELAVMRFTGEG PTLKFNSDFNAALIGVQYDFPDDMARAVAGDDMAL >u54033 STNDYTAFDQSQTGEALSFELMMLRAFGLPDGVISYYTELKLELTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPADTAVAVAGDDLAM >u54862 LEIDFAKFDKSQQDFCLKTELKIMKEYGISQDLINAWELYHWISVATDYNTGIKARMIRQ RRTGDSFTCLGNSLISMQSIAACIDLRRLICAAFVGDDSLL >u55046 TYCDYSGWDTGVDESFTLAYASIMRSYGLSESVVERFVRDRHNRVSFLGPMPAMQASGDR YTWLNNTIGNMCLTGHSFKRVAGAPIAFSGDDMIA >u55214 LTADFSEFDSSQEMQGILAGATYFKLCGVPDHIVEMYLSQRRRWLMLAVDKDDSTIMRAM LEGVWKQHSGQPDTLNGNTTFNMAAMGACYNITDLQFASFKGDDSII >u55265 VDNDYTAFDQSQDATALFLEIELMRHFNVPSDMIELYYWLKTETRSWLGPFGIMRFTGEW STFLFNTLFSIAYSHTKYSFPPGMLQCYGGDDSSF >u55305 VENDFSRFDSSVHDLAIQLEEEIYTACGLTGDALKMFQHQRFTSGYTSHNIHYGVPATRK SGDPNTTLGNSIINMLMSKYVFQCITGEHWSKIPILVGGDDSVI >u55634 CSGDDSIVAEFYPTHMVFWEGDASMFDSSQSKGPLKFQYLMMHCLGVDASITLALYKVAH ATLVVRPKKNDYDFDILRVDRSQRPHRDTGGADTYIGNTLVM >u55770 IEMDLKKQDRQTDMHELENEFILMTALGFPSYLMPLWRQYNESWRYKASDGTTSQQTGKR KTGDEMTSLGNTFKNMSGLVEPFNKYKTERILILSDDMIA >u56161 LEIDQEKFDKSQTRECFEVEMYFLEKLGLDKELLAVWGDGHESSTAINFANGIKCYFVYQ RKTGDAMTCFGNTLISMAAMATVFDLKGSEASYFVGDDSFI >u56398 VCNDFSEWDSTFRSPFVNMMSDLILACGCPKMIVDIFVGLRIKWVMRFNKNGEKTKLYGN EKQFSGNPFTICENTICNMALTNALLDIKDEQMALFKGDDSAI >u56924 LMADFSEFDSSQEKQGIMGNAILLSEMGCHHSITDLYIEMREKWLLCGQSEQDHVPIRMM LAGKYKQHSGQPDTLDGNTRFNMAVMGMCYDYKNICFAAFKGDDSFI >u57146 TESDFEGFDSTQRGDSLGLELKLMAQFGLKDAWMSLFEQFSFGFLDMPELYAWWKTHIIS TVIGPKQTGRDTGEPGTYDFNTYFNLAVTCLMYELPRGVPLCIGGDDMSA >u57466 TTNDYTAFDQSQTGEALALESAKLTAFHIPDHVLAYYLELKLNLSCQFGDLAVMRFTGEG PTLLFNSDFNAALLGCQYAQIASYAVAVAGDDCAI >u57496 LENDFGKFDKSQGEFAYIFLAFVLVQLGMDDELIDRWIDSNERATLKSVVLGILLIIRYQ NKSGGPATSFVNGVLNMASTATAYAGTVVYWATYMGDDSLL >u57667 TWCDYTGWDSGVNESFTLLYTDVLRSYGVPSAVAARFASDRHSLRSFLGPMPAMQASGDR YTWLANTLGNMALTGISFDLPSDVPACFSGDDMIL >u57774 VACDISEQDTTKTEATHLVFRWLFEAIGVPSHTYDLVQQACIQWTGYGLDFSINNVETFQ SGINWTYLNNTVDSMARIGASFEIEGLRLAMFKGDDAYI >u58072 VAGDDFFAIVREKDEIFYLENDFAKFDRTQGVHAQDAEAKILKLLGMSERISYILFTTMN LQPRYENKRLDHQAIYHMPAQRATGAPDTTIGNTINN >u58260 MSIDLSQQDSSHVNVHRFFIGKVLAFLGFDDTIVTLYLMTRAKRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSTGTSVCTFDFSKFELFIGKGDDNTV >u58441 IENDFSDYDRSQDALALAIERWVDYYCGFDGEYCDAWFNAHVFTNNRNHVTGLSAFLLYQ RKSGDVSTSYGNTVVNMVVVAWGYKLPSFVFCIFLGDDSIF >u58796 LEMDMGKFDKSQGLTALLFECEVFRKAGMDTWMVNLWFLSHFLIRVKGFGTSLRLSIPHQ RRSGDPWTYGGNTFFLLAILLKMCGNRLRYLMVSGDDSLA >u58991 LECDFSKFDCSQGKGAYLFEKYVYQKIGKLNKHPDAYRTFQAQAMTRGRCAQGTTYRVRY GRKSGDPNTSCGNSLLNGVTCAISLENLGLRFKVIVMGDDMLA >u59347 LENDYSKYDKSQSEMCVRLEQFVNDQLGFDINMMERWYRGHEHSRIHSVQHALTLFIDWQ RRSGGSNTAFGNVVVNLLTTSYVYKGSEVIAAAYIGDDSLI >u59553 MMCDFTEFDSSQNEKAMIASVMMLKAMGLPSHILDHYLHRRKEWVLYVKNNTGAVDLTVY LDGVWNQHSGQPFTLGGNTQYNMSAIGMCYNFKDFQFAAFKGDDSVV >u60032 TETDYTAWDSSIDGPFIKFDAWLFTAIGIDPEYVELYLNECCNTRYWGGNLRLMQHSGNR YTFILNTLRNLALTNATYNLGTTPQAYGGDDSLI >u60673 LEIDMSKYDKSQGERVLEITCAIMRRFKVPEEYISYWKDCHIINRLVFHKTGVSFKVKYQ RRSGDIATFIGNTIVTMVILSFVYDLKQKPCIGGIFGGDDSLI >u60838 VENDFSNYDKSLDDFGMEVEACFLQMIGLDPELAELWNQGHNYTSIKNHDVGFVLHTLFQ RKSGDVTTSFGNTFINMMTVSWCYFRNPADFDTKALFAMFLGDDSII >u62415 LENDYSKFDKSQDRFTFIVMRLILDDLGFDEEMLDRWVDANDRCVLRSFALGIMFVVFYG NKSGGPATAFQNAVMNMISVAYAYKGTDAVWAVFMGDDSLV >u62546 LELDISKFDKSQEGTMLEAQCDILKLFGVSELVIDLWRSFHELVKLSSPKFGVSYMVKYQ RRSGDAITWLGNTMVLIMIVAYLYPIEKAIMVLLAGDDNLL >u62595 FTNDFTAYDQSCTGEAVQFEMAMMRYFGFPEELVGYYFWQKTTLTTNFGPSAVMRFTGEP GTYIFNSLFNLAYMLLKYQCEDVPSIYSGDDSLL >u63276 SAFDKSQQEASHFIKLHFYRMLGMPEALLRLWDYGHRAAICQARGCGVAFQMPFQHKSGD ASTAIGNTIVNMASMAVVFEPRCFDYAAFLGDDNFL >u64339 LAADVTEFDSVHSQVTKEVEKILMQKCDLPQPIIDLYMHMRNKWKLSTYSVGYLHGEHKQ HSGQPATLFSNTFLAMMIMIIGLDEEEMEKGNYMMMAKGDDTVL >u64395 TANDYTSWDSGVDKVFAHFDEWYFRLHGLPEEFIERYLDLKYNSYFYGGPLEPMQFSGDR FTWLLNSVRNAALTGASLDLPQHAPSLSPVTMEQMSARRSRGTPAAFSGDDSIV >u64638 VAGDDSLVGVWENGALRWYEADAGMFDQSESYGPLLSEYRALHKLGVPGRTTDLLFHLAH ASYRVAGREHQWHATIDRSHRPMRDTGGADTSIGNSIVM >u64688 WESDLTLQDMSMTGAYVTLLECMMRHFEIPEHLVEGYSKYKKTLILNKVLTGIMTFSGEI LTWIKNTFGNMARVSLKYDLRPGEPSKWSGDDSLV >u64793 VENDYTAYDQSQREECLYFERKVMRHFRIPEELIEQYVYQKVHCKHKYGDAAIMRFSGEP STYTFNTWVNVAVLHCKFDLNGMPYGVSGDDSII >u65293 IESDAKNNDGSQPKELRKYEAMFYLKLGAPEWFVREFARTTKVRVWTRYGICAPIVGQRW SGETTTTTGNSYTHMALMQAALECASIKDSTNVHGGDDYLG >u66398 EMCDIEGFDSSIRGADVTLEQDLMRFFHVPEDHISEYVEDKMDFHTRTIHFGIMRFSGEI FTWLFNTMHTLARECLKYDHQPGDPIAVSGDDVLK >u66963 FTCDFTAYDQSCTEETLSFELAFMEYCGIPTSLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u67520 TTNDFTAYDQSQSADALALELLILEFFSIPASIIELYREIKVNTQTFLGVLSIMRFTGEW CTFLFNTVFNIAYTFTMYNLKPTDPCAFAGDDSVI >u67838 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELMALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPNPEVARAFAGDDSLF >u68399 FEDDLSKQDRQTDDDILKVEMCVYQLLGIDKHILRWWSIVHDRWRFKQQHMWGWNRSKRQ TGSVTTAIGNVVTNLQVRRDLYQRNKDRIEMMLMLGDDNAM >u68450 VSGDDSMAVKRGGWQQKGRAFLRFGEGDFSAYDQSQRAHCLTAHAVWMTALGLPKLLIDL ILWVCSMPYRARGKRVKVKGKAGCQLATGIDWTTVINSMSN >u68966 TCNDFSEWDASFRTPFVKLTSWLLIASGCPRNLVNTYEKFRESWTMQYRTIWGFASLDGF EKQFSGNPFTICENTIGNMALCFSLFEYKDFQFAYFKGDDSAV >u69269 VENDFTEYDSSQSELTIYFESDILFLACHNPELVELYREHRTNWSTSTPGLVHMRGYAKK HSGEPFTIDFNTILNIAICGAIYDIDDLCCALFKGDDSLI >u69339 QENDFSKFDGTHGFPSRELEERYLLRLFHPSYAARALKLHKSTHFRRCGNNDTHYERLSG GFDTSIFNTLVAAFVDYLALRRSGFDSHKAYSMIGLHGGDDSLT >u69595 VESDAKNNDGSQPKELRKYEAMFYRKLGAPVWFVRDFARTTKIRVWTRYGVAGDVDGERW SGETTTTTGNSYTHMALMQVAAERASIEESTNVHGGDDYLG >u69689 TINDFSNFDSTQGGESVRLDMAVPIWAGVPEEWMLLYKHWKTHMVSDKIGVKKTSRDSGE PGTFDGNTWYSIANTALKYGWRALWCGTWLFGGDDMAC >u70092 GTCDYSAFDQSQDISVLLFELKVYEYMGVPRTLLERFKRWKMNLICQYGSLEVMRFTGES GTILGNTLANMALSNLERDLAGPRGVHFPCAFIGDDSVF >u70867 TTNDYTAYDASQNGDILDFEVKKQRYIFSIPEEFIQDYIYFKLHLSTKDLIFAIIRFTGE PGTFNFNTDASIAFVALRFKKVKGSKIAFAGDDMVC >u70938 STNDYTAFDQSQTGEALSFELMMLRAFGLPDGVISYYTELKLELTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPLDTAIAVAGDDLAM >u71159 TVNDFTKFGATQGGDSLQMDLQWFQWAGMSDASVELYRRIKLSLQALGGTKKTCRDDGEP GTYLFNCFYDLGITAERFGVEALWRGFWLIGGDDEAA >u71552 FENDFEKFDKSQLEECFESEMFFYDVLGLEQWLQALWALGLIKTEARNFILGILIYLIFQ RKTGTVTTSLGNLIINMIATAIAYKLLETGFIAVYYVGDDSFL >u72286 LENDFSKFDKSQDRFTFILMRLILDDLGFDEDMLNRWVDSNERCVLRSLLLGVLIVVSYG NKSGGPATAFQNAVMNMAAVCTAYAGTDIAWAVFMGDDSLV >u72622 FANDFSEFDSAQDEISILAFAAFLSMLGFNEKCIKLYVNLRLKWVMALRGSSLQHDTITT LKGVFKKHSGEPATLCGNTWFNRAVTCLCVTFLNPYICAFKGDDSLI >u73925 TTNDYTAYDASQNGDILDFEVKKQRYIFSIPEEFIQDYIYFKLHLSTKDLIFAIIRFTGE PGTFNFNTDASIAFVALRFKNVKGSKIAFAGDDMVC >u74362 FTCDFTAYDQSCTEETLSFELAFMAYCKIPQSLIDLYSWIKLNMRTQFGFTAVMRFTGEF GTYDFNTFWNMAYMELRYAPSPSIPACYSGDDSLF >u74639 TGTDYTSWDTGCDEAFLGFDRWLMGIASLPSSFVAHYVNRKLSLNSFAGPMPVMQCSGDR WTWLLNTHRNIAFSNNKFAIPFGTPQCYSGDDMLL >u75059 YANDYTAYDQSQRGEVLASEKMYFWQASIPDFIVDMYVQNKTEMTCSLGNLQTMRFSGEP PTYDFNGRCNLAVMNMQFPIAERKDVAAFVSGDDGGL >u75067 VENDFKSYDKTQDDVALDIEMRFLEMIGFDKDLLELWESGHVYTKAFAHDTGFMILTAFQ RKSGDVTTSFGNTLINMLAVAWTYFTDIPSARRHIKFGWFLGDDSII >u75135 TTNDFTAYDQSQSADALALELLILEFFSIPASIIDLYREIKVNTQTFLGVLSIMRFTGEW CTFLFNTVFNIAYTFTMYNLKPTDPCAFAGDDSVI >u75186 MSIDLSQQDSSHINVHRFFIGKVLAFLGFDDTIVTLYLMTRAKRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSTGTSVCTFDFSKFELFIGKGDDNTV >u75224 FTCDFTAYDQSCTEETLSFELAFMEYCGIPVSLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRDLACAFSGDDSLF >u75414 VENDFSSYDKSQHIETWILEREVYRLLGCDEDLLQHWEDGHWFTKIRSPSVGFTMYTLFQ RKSGDVTTSFGNTLVNMITMIYSYRYVDIEYGLFLGDDSLI >u75466 TVNDFSAFDSTQGGESVRLETSMMHLFGVPEETITAYVYWKTHIRSNVVGEKKTARDSGE PGTFDANTWYSMAITFLKFGWPAARRGCWLFGGDDMAA >u75659 TCNDFSEWDASWRGCFTEFTCTLLRYMGCPKPLVEDYKRFRDDWIMTYMTAFGNVTLSGR EKQFSGNPFTICENTLGNMALCFSIFEVRDMQYAMFKGDDSVI >u75870 LETDLEACDAGQDETTMLFESKLMRQFQVPDIVIDFLMFIRKEWKLSARDLASVENEGKK HSGAPDTLDGNTIVTAAIISRLFRFKNLKLALFKGDDGAI >u76057 VENDFSAYDKSQDDACLELEMLFLRRLGVPADLIDMWETGHIFTRIRAYDSGFTLWTMYQ RKSGDVTTSFGNTLINMIAVACSYFPTPQSCWDDIIYAWFLGDDSTI >u76243 TDDDFEQFDSSQNGQILAFELRLLQYFNVPAHLIELYRQAKINAHCFVGPLAILRLTGEW STFLFNTLANIAFKNLKYIIRPGTPQVYAGDDSSI >u76559 GVTDFEMYDSQQDKFSQDLERAFYEALQLDEQFLEHYFSFRSKQKLLVPGFSGVLGTEKT SGEPLTLTGNSVVSMLLANWLLRGEGPFLMAFKGDDGFK >u76580 AYCDYTGWDTNVDEAFTLLYTGVMRSYGFPEDVAERYAFERHNSRAFIGKMPPMQFSGDR YTWLLNTVGNMALTGISFKLAPDQPACFSGDDMIL >u77068 EMCDIEGFDSSIRGGDVTLEQELMRFFGVPEDHITEYVEDKLDFHTRTIHFGIMRFSGEI FTWLFNTIHTLARECLKFGHEPGDSIAVSGDDVLK >u77578 VENDFSEYDASQNESTIQFDSDHIRDMGATEECVQLYREQRSEWVTVYPGFMVLIGKFKK QSGEPFTIDFNTTICMGAIGHMLDINNLVCAQFKGDDSWI >u77678 IENDFTEYDTSQNEATIEWEMSVLRDLGVTDQCVVLYGEHKKKWKATYPGKCSLNGVMKK HSGEPFTLDFNTVLNMSICGAIYDIEELTCALFKGDDSCV >u77731 VELDISKYDKSQSLLALLVEYKLMRTFGFSKLDCDVWFNMRHYCRFSSTATGIKFDVLYQ MKSGVASTFISNTLHQMCVLFSEWHPSPDSFSLFCGDDSLL >u77902 AANDFAEFDASQNNLELSFNMSIMRDFGVPPDVVEFYGLYRTEWVQIKHGLMKLHGHNKK HSGEPATLLFNTTFNMAVTLQLMKPTGLTFAGFKGDDSIV >u78038 VLNDFKQFDCTQQRTGAEAVFFAYKVLGMNYKVREYMWDMRRKWTLEMYEPGKKGNLKST LNGQWEQHSGQPHTLRSNSLYNMAAMGAGVEWTTVHAAGFKGDDSQV >u78171 TYCDYTGWDSGVNESFTLLYEKIMRSYGVPHSIVAKWKRERHSLTSFLGPLPAMQASGDR YTWLHNTIGNMALSAISFNLKPSTVAAFSGDDMIV >u78278 VSGDDSLVAVWNGETWDWYEGDATMYDQSESLGPLLSEYAALRALGVPENVITVLYQLAH ARYMVRGDGWTLTIDRSERPMRDTGGADTSAGNSIVM >u78336 GVTDYKMFDAQQDEFTQQIEKEFFHMLGFSERFTTEYYRLRKNYNMQAGPISGKARTEKT SGEPATLLGNSVLGGVVMNYIFRGEGPCAMAIKGDDGFK >u78545 FTCDFTAYDQSCTEETLSFELAFMEYCGIPASLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRSLACAFSGDDSLF >u78594 RTNDYTAFDQGQTAEALYLEIRLMEMFNIPKHFRDDYFQSKVSAFSWLGSFAIMRFTGEF GTFLFNTLFNMAYSNLKYNMVGRVALFGGDDSAF >u78925 IEIDFSKFDKSQLQLCHETEMHVWRILGMDQYLHSLWKLGHFDTTAIDYLNGVIATLMFQ RRSGDAATCFGNTLISMLALARCTDLRTVASGYFVGDDSIM >u79367 IENDMEEYDTSQSEITIGNEIKWLRRMGCNELFIAMFKKHRTQWTANYPGYVSMRGYAKK HSGEPFTLDFNTLLCLCLNGLMFPLENFVFAAFKGDDSEI >u79517 YEGDLSKQDRQTDESLLGVEMYLYVLLGLELNIAEWWSATHGLWKFKTKFFSGYRKAMRQ TGTPTTALGNVFTNFQVHKPLVKNMWENIVLFLGLGDDNAM >u79633 FTCDFTAYDQSCTEETLSFEICFMDYCKIPTELIDLYRWIKLNMRTQFGFTAIMRFTGEF GTYDFNTFWNMAYMTLRYKPRKDMACCYSGDDSLF >u80493 VSGDDSLVYISLNGERYCFEGDASMYDQSQSVGPLTVGWRAYKRLGVDSETIKLLRALAY NKYVVEGRDRSNLPTFYTIDKRHRPMRDTGGADTSLGNSVLM >u80730 LEIDESKFDKSQLEFIFAIEQMFWEMFGLNSESAQIWAEGHSSTTLRSWLHGFTVQILFQ RKSGDVTTCFGNTIINMMALADCFDLTDAAALYFVGDDSFL >u80928 AENDMEEYDTSQNEITIENEVKWLKRMGCNEFFVKIFKQHRVEWRTNYPGYCQLIGYGKK HSGEPFTLDFNTLLCMALNGLLFPLEHFVFAAFKGDDSEL >u80990 LINDYTAFDQGQSGAALYLELRLMKYCGVPRRYRDEYFESKVSAFSWLGHLAIMRFTGEF GTFLFNTLYNMAYANLKYDLTGIVCCFGGDDSAF >u81136 GTNDYSAFDQSQTGEALSLEVVKMRVFNIPDHVIHYYEELKLTLTCQFGSLAVMRFTGEG PTLLFNSDFNTALIGCQYEMPPDTPLMVAGDDSAI >u81155 MSIDLSQQDSSHVNVHRFFIGKVLTFLGFDDTIVSLYLMTRAKRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSTGTSVCTFDFSKFDLFIGKGDDNTV >u81272 LEVDFSKFDKSQERMILMIVLALFRRFNIPEEFIENWDKCHQLTKLIFHIIGIMLIASHQ RRSGDVGTFILNTVVAMVAMSMSYSLSLAIGGIFGGDDMII >u81332 IENDFSKFDKSQLGVCWAVEGYAYKQLGLAPELLEHWMDSNVTGEVRSATAGLRYWVAFQ RKSGTATTSLGNTIVNMAAVAYSYALAGENIVYAVFLGDDSLI >u81433 TTNDYTSFDQSQTGETLSFERSLLDFFNIPEWLKDWYTESKMDLVCQYGHLQTMRFTGEG PTWLFNTLFNFALIYCQYEMRPSQPVAVSGDDMAI >u81443 ISIDGSAFDSSQFQVLMSLVDDLFWRRIRPFIRVIVQHNWQCRILTPHNTVDQITDRLMG ALLKSQNLVFVHLPGVNSPXWPXPIRKXFFLDIDESKKWRETGPEXDWIYIEINGTTFSG HSTKTTLGNTLRTLCYSWYYILKSGVSMTPWNSDKVFSIASGDDCVI >u81850 TTNDYTSFDQSQTGETLAFERSLLDFFNIPEWLKDWYTESKMDLVCQYGHLQTMRFTGEG PTWLFNTLFNFALIFCQYEMGVAQPVAVSGDDMAI >u81856 TGNDVTGWDAGCEAEFLYGIDVPLMELLGFPQQYIDTYLHRRLNSFTHLGSFPIMQASGD RYTWLLNTYRNIAITTLYFNLPKGTVMAFSGDDAII >u81905 TTNDFSEFDQSQTGDALSLELKVMEYASIPQPLVDYYFHLKTNMTSSLGDLAIMRHTGEG PTWFFNTLFNLAVTGLRYENAHLYPRCFAGDDSAI >u81994 TCNDFSEWDSCVRKAFYEFTCYLMKLMGAPDHIIDFYRRFRDEWTMKFDTQYGSAFLKGT EKQLSGNPFTICENTIWNMSLCFVIFEYKNLKFAAFKGDDSAV >u82100 TVNDYTAFDSTQQGESVVLDNCLLAWVGCPIEVREAYAYWKTHIVSDQLGVTPVQTHRAT GESGTWLGNTLYNIACVALLYGPKALHHGAWLFGGDDMAT >u82557 VSGDDSVVGWGAFNPEIPFSEADQSKFDHTQDEGPLSLSLHWMKELGAPDWFLDAVCFCC RAPYTMQKHFMRARGHAGTQMPTGITLTTLLNSMAT >u82909 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELQALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKVARAFAGDDSLF >u82941 AENDMEEYDTSQNEITIENEINWLKRMGCNDFFIRLFKQHRIEWRTNYPGYCQLIGYGKK HSGEPFTLDFNTLLCMALNGLLFPLEQFVFAAFKGDDSEL >u83094 AENDMEEYDTSQNEITIENECRMLKRLGSNDLFVSLYKKHRTEWSTNYNGYCKFFGYAKK HSGEPFTLDFNTWLCMCLNGLMFPLDDFVFAGFKGDDSEI >u83596 TYSDYTGWDSGTDESFTLFYSDVMRMFGVPPNIAARFRSDRHGRRSFLGPMPAMQASGDR YTWLNNTIGNMALTGISFDLTHVPAASFSGDDMIL >u83954 LELDISKFDKSQDATLLEAQCRIFKLFNMADWAIDLWIAFHELCKLTFPKWGVRFTVGFQ RRSGDALTWFGNTLVMLMIMAYLYEVEKSVFTILGGDDNTT >u83986 LEIDESKFDKSQLEFIFAIEQMFWEMFGLNSESAQIWAEGHSSTTLRSWLHGFTVQILFQ RKSGDVTTCFGNTIINMMALADCFELTDAAALYFVGDDSFL >u84009 TINDYSAYDLSQRGEALSFELQQLKWFSMPEDIIQYYYELKIAITCQFGDLATLRHTGEG PTWKFNSDFNTAVVGLQYEGAESVALAISGDDMAA >u84054 IENDFSDYDRSQDALALAIERWVDYYCGFDGEYCDAWFNAHVFTNNRNHVTGLSAFLLYQ RKSGDVSTSYGNTIVNMVVVAWGYKLPSFVFCIFLGDDSIF >u84080 TGNDVTGWDAGCEAEFLYGVDLYLMELCGFPQHYIDSYLHRRLNSYTHLGKFPIMQASGD RYTWLLNTYRNIAITTLYFTIPRGTVMAFSGDDAIV >u84109 STNDYTAFDQSQTGEAVSLELTNLRAHHIPDDVIEYYIDLKLNLCCQFGELAVMRFTGEG PTLKFNSDFNAALIGVQYDLPSGMARAVAGDDMAL >u84268 TCNDFSEWDASFRIPFVKLTSWLLIASGCPRNLVNTYEKFRESWTMQYRTIWGFASLDGF EKQFSGNPFTICENTIGNMALCFSLFEYKDFQFAYFKGDDSAV >u84680 LENDYTRFDQSQKAEFVNFQIHILKMFNTPENLINKFMDIKLNCFNDISVLDFMILSGDW ATLLFNTLDNAAYANLQYNIPPGTAQLYVGDDSAI >u84756 GVTDGADFDSMQNKFTQQIEKRHSHHLLVPKVLIDSYYQYRNDYRMVENGLFSGRARSEK TSGEPGTLLYNSQLGGTVCNFSLRGIGQSTMEIQGDDAKK >u85114 FEADISQFDKSQTELSLAVEMAVYRKLGLDPEWAMRWEGAMFETRNVCHAVGITIYLMHQ RKSGSVTTSIGNTIVNMVACAYPDTLTAECIIAALFLGDDSLI >u85498 AENDMEEYDTSQNEITIENECRMLKRLGCNDLFVMLYRKHRLEWSTSYAGYCKFIGYAKK HSGEPFTLDFNTWLCMCLNGLMFPLNDFVYAGFKGDDSDI >u85501 DERDGKNWDSTMQCETLTAEALVYEMLKLPVLAPFIVRSSKCWGRVRCQGFPPVKYITSW KRLSGDWNTSVGNTLISMIICATTIRALPDHLRPASVEAYFMGDDYLG >u85540 VENDFTEYDTSQNAVTIEFECGFLRAMQLSEEFVVLYKEHRSEWCANYPGFVKMYGKYKK HSGEPFTICFNTILNAAVCGAIYDFDNFVGGIVKGDDSHF >u85833 FTCDFTAYDQSCKAETLAFELVLMDWANIPFDLQDLYFNIKIGMFLDRQSYKIHSSIMRF TGEFCTYDFNTFWNICYMATRYNLQPTERCAFSGDDSLF >u86024 TSNDFSEFDQSQTGDALSLEMVMMSAYDIPDSITDYYFSLKTRLRTSLGPLATMRHTGEG PTWFFNTMFNCAVTGLRYGYLGDKARCFAGDDSCI >u86128 VEIDFSKFDKSQNAFILNIQLILMAKLGIEPHFIEFWSKNHEKTTLDFRNHGFKINVDHQ RKSGDAFTFLGNTIVTMMVLNYVLDLDKAICALFGGDDSFI >u86241 FTCDFTAYDQSCKTETLAFELVLMDWAHIPLPLIDLYYDIKVSMYLDRGWYKIPSAVMRF TGEFCTYDFNTFWNICYMATRYQIRDDTACCFSGDDSLF >u86298 REIDFSKYDKSQGELHLLMEMLIFDILGLPPFYLLLWYRMHFLTQVKDKSMGFTAWLFYQ RKTGDAATFIGNTVVCICMLLLLYDFTGILFAIFAGDDSIL >u86313 GIADGEEFDSWQNSVTLHAEKEFRRLQGACSESIAAYYQIRGPQEFTMFGCFRGRTNFEK GSGFLDTLLGNTTLAVIAGHQMFKGVGPKVVASKGDDYMH >u86647 LSLDIKGFDGTQRGAALELERQWMTCFNVPEDLVDAYVHDKLDAHTKTIHLGLMRLSGEI FTFFFNTVFMSARTVTKYRIEAGDPMAGSGDDIEL >u86666 VENDFSEYDSSQNEATICWEASILSYFVLNPEIVQLYIEHRKNWRTCCPGLVSFKGFVKK HSGEPFTIDFNTILNIAICGSIYDINNMHFALFKGDDSLI >u87045 VENDFSSFDSTQSKYALGMVYDFYAMCGMPDDVIALLKLDLEYANVSTRVGLRFKAGGFR FSGRGDTLGGNGVLNYIVMYHAYMCMILRMIFKGDDSVI >u87195 LENDFSEYDSTQGKGAHELELMFYRSFNPTQPVLNALEAQSKTEGFGSFYKYRVAYTRKS GDQNTSIGNTVINAVVHMEAMSRAGVADYRLICLGDDMVL >u87259 ESLDWTMFDSCQGNVEHELTRLSLNKIGCPHILTQLFVAVVYNRKITGKIASLNVRNKKD SGRIDTLLSNSQFNAAVIIFMIDWERSYLDHLFIKGDDSLL >u87382 GENDYEAFDATQHVDCRLLIIEMLVEHFGMSASVARYMRAAAKEKFGHTLNGTYVSMEGT MASGHPDTYLTNTMMNILLQWYASACCGVFKPPIAAAGDDSVI >u87396 TANDYTAFDASQGYDSVLLECHVMRLAGLPDALVDNYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLHCLALFGGDDSAI >u87732 TSIDYTAWDSSLDEPFLRLNAHILEFVGVPDPYVQVFLDERLNTRSFLGPMPLMQFSGDR YTWLFNTLSNVSLAHAAFENAATTTMGVSGDDIVL >u87741 TETDYTSWDSSIDGPFIEFDCWLLTQIGAPSHYIETYRHEACNTRYFGGNLRLMQHSGNR YTFLLNTLRNLALTNASYAGISKTPQAFGGDDSLI >u87829 LSTDFTQHDTSHSHVVKLWFLKDFLDAGFDPEAMITQFNTYSDWVQKAKIGEDVQFDVHN FFIQHSGSPDTLHGNTKLTMAANGLAYDFKNLVFAAFKGDDSML >u88085 IENDFSKFDKSQQWAALRLEWRMYQALGLDCQMAEIWEVGHISCSMSSYAAGIKVWSMLQ RLSGDAATALGNSIVSLVTVATCYDIPKFEYAMGLGDDSVI >u88646 VSGDDFYGLVNEFGSVWVAENDFTKMDRTQGAHALETEFQLLLFLGVPRSVCRRLFLAML STAKYENKSLGVKMKCPMPYQRATGAPDTTIGNTLIN >u88691 STNDYTAFDQSQTGEALSFELMMLRAFGLPDGVISYYTELKLELTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPSDTAIAVAGDDLAM >u88746 VSGDDMIGFFQEKGLVQAFENDYKRFDRTQGRCAQESEFRILRKLGVTERKISILRQALG AKTVFESRRYEEQIKIDLPLQRNTGGADTTLGNCITN >u89229 VSGDDSLVIYRDCHGLTTYFEGDASMFDQSQSKGPLNFEYKCLERLGVSKVFCRDLRVLS SNRYIATCRGLRQHRITVDRTIRPMRDTGGADTSLGNSINM >u89865 TINDYSNFDATQGGESVVLELAVLQWSGLPDFIVQGYAHWKTHIVTSFIGLKQTSRDSGE PGTWDGNTWYNIANCALKFGYQALRRGTWLFSGDDMAC >u89949 TVNDYTAFDSTQQGESVVLDNCLLAWVGCPLDVREAYAYWKTHIVSDQLGGTPVQTHRAT GESGTWLGNTLYNIACVALLYGPKALHHGAWLFGGDDMAT >u90344 LENDFSKFDKSQQEICLFLEMELYRLLGVDVDFIQNWYRTSEYSRIKSTTAGLKLFSVWQ RKSGEGTTAMGNSIVNMLVLCCFYDIDPADLLYSVFMGDDSLL >u90904 LENDFSSFDSTQNQCALGMVYDYYEMCGMPTQVVNMMRNDTFNGCKITTSVGISFHQRNS RISGRGDTLFGNTILSFVAVNHSTGGKVKKIIAKGDDSVM >u91052 IESDGRRWDARMQRMHHDFKIRLYRVVDAELASSVEQGFACVGVVVLPDDRLVYRVHGTV KSGHNDTTLGNSLINAAVAYETCVSMGLKASIIVAGDDLLI >u91056 TEVDFAKYDKSQTHNIYLLEEKILIALGMPKELIPLWRYANCHSRLINFKNKFRGSVNWQ RKSGTAFTYFGNTILCMAMLAYSMNLKDVIVLFSGDDSLI >u91192 LENDFSSFDSTQNQCALGMVYDYYEMCGMPTNVVDMMRRDTFNGCKITTSVGISFHQRNS RISGRGDTLFGNTILSFVAMNYSTAGKVKRIIAKGDDSVM >u91513 VEIDFSKFDKSQESIALETQLVIMKMFGIPDRVIDEWYSCHILGYYIDPRTSIAFRVCYQ RRSGDSFTYTGNTLVTMCAMCHTMDLTRAVGGMFSGDDSLI >u92120 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPEELMALYEEIKIDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKVARAFAGDDSLF >u92280 EMCDIEGFDSSIRGGDVTLEQCMMRHFGVPEQHIDEYTEDKMDFHTRTIHFGIMRFSGEI FTWLFNTMHTLARECLKYDHIPGDQIACSGDDVLK >u92384 VESDAKNNDGSQPKELRKYEAMFYRKLGAPVWFVQEFARTTKITVWTRYGIAAQVEGERW SGETTTTTGNSYVHMAMIQAALERASIEESTNVHGGDDYLG >u92391 VAIDISAFDSSQRGADCQLASRLFRLIGMPEELIQEYLDDKYDFHTATIHFGLMRFSGEV WTWCLNTTFQTARTVTKYAVPKGAPIKVAGDDILM >u92418 VELDISKYDKSQSLLALLVEYKLMRTFGFSKLDCDVWFNMRHYCHFSSTATGIKFDVLYQ MKSGVASTFISNTLHQMCVLFSEWHPSPDSFSLFCGDDSLL >u92467 TETDYTSWDSSVDGPFIKFDCWLLHQMGAPAEYIAAYQEEACSTRFFRGNLRLMQHSGNR YTFLLNTLRVLALTHATYHRIKYTPQAYGGDDSLL >u93013 MDGDMSKFDKSQGELVLRTQLEILKRFGMCEEILLEWEYNHIINILDFPLFGLRFKCLYQ RRSGNIFTYLGNTILTMTVFSYFYDLETCICAIFSGDDSTI >u93097 LEGDFTAFDQSEDAAFVDFERRLMEDCSFPEHIIADYLQLKASLSSRFGHLAVMRFTGEV WTFIFNTVANFAYTHLKYDIPPGTPQCYGGDDKVI >u93158 TVNDYTAFDSTQQGESVVLDNCLLAWVGCPLEVREAYAYWKTHIVSDQLGVTPVQTHRAT GESGTWLGNTLYNIACVALLYGPKALHHGAWLFGGDDMAT >u93200 FTCDFTAYDQSCTEETLSFELAFMEYCGIPTSLVELYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u93479 GVTDFTMYDSQQDAFTQAIERRFLFKMGMTTEAIADYFSFRNDYKIISASASGRGKTEKT SGEPGTLLFNTVINAVVMNWLLRGVGPVAMAFKGDDGYK >u93805 DEDDCVALDQSMREEFIAFESYLCAYAGWPQDIIDEYVSHKLTLFCFLGNLSPARFTGEP PTFLFNTLGLIAYKHLKYRIPPGCPQLYAGDDSAT >u94031 LMADFTEFDTSQDEKAVVSSCIILKSLGFNKNLVDYYQHKRKEWTMIAHAETDHMPITIT LNGKWNQHSGQPFTLDGNTLFNMSAMGMCYNFKELILASFKGDDSFI >u94293 GIMDFTEFDSQQNDVTLAIEKEVCRLMGVPVQWSEEYYAYRSKGLKVSFPGLFKLKMNQE KPSGFLDTKSGNTILSCALATWLFDYKGPRVHAAKGDDTLF >u94591 AENDFSKFEGCQTPELLKDTELKIFLALYPKCYHQEIKLLFKHKLQKKIFSREGMKADLI GCRGSGDMDTGLGNTIVNLIACKYNYKRNKISGNQIVDGDDGVL >u94699 MVADFSEFDSSQEMQGILAGAMFMRLCNVPYHIVDMYLKQRQHWVMVACDKSDGGGVMRA VLEGAWKQHSGQPDTLNGNTTFNMMAMGACYVYTDIQFASFKGDDSII >u94711 VENDFSDYDKSQDARVYSIEARIVALLGVDVELAGDWYAAHIVTHNYCRSVALTLTVCYQ RKSGDVTTSFGNTLTNMVAIVVGYRFLEDAGENLRFMIFLGDDSLI >u95209 TTNDFTGFDSTQKGDSHGFEMHLLEWAHLPLAWTRHFVDLGRGRDMSLLYSWWKTNIVSD VIGPKELGRDTGEPGTYDFNTYFNIAVTSRMYIIPPNTSLAFGGDDFAA >u95328 YGSDVTRWDVGCDAAMVNFDVHVMRQLHFPSWYIDAYVERRVSPFSQHGPMRTMQNSGDR YTWILNSVRRAVVTSIVCQIKPEDTVAINGDDAAV >u95755 MENDFSKYDGTISLAARELEIRLFTRHFDTSVIAQALQVHDNLHHRTTTTGDHTEYERLS GGFDTSLLNTTVAAFADYLGLRRANHNPEEAYSLIGLHGGDDSLT >u95764 LECDFSQFDKSQQWFILRLEWILYQLLGLDPNILVAWKEGNIINDTRGRCGIYLVLILQR RSGTATTALGNTVCNMIAVATVYKLDGFAYAMFIGDDSII >u95963 VENDYTRFDQSQKAEFVNFQIKILQMFNVPTELIDLFVDLKIRCYTDVDVLDFMILTGDW ATLLFNTLDNATFANLQYNIPPGTPQLYIGDDSVI >u96140 LSNDYSAWDSGCDKVFAEFDAWVIGQAGLPEHVSTRYLEWKYNIRTVIGPLRVMQNSGDR WTWLLNTVRNVSLLTAQYECDKLPMAVSGDDCSI >u96253 FTCDFTAYDQSCTGETLWFEIKLLRHIGVPEELVSLYWEQKINLQTTFGHSAVMRFTGEP WTFVFNTAFNMAYMWTRYDLANDQSCPPQCFAGDDSLF >u96374 LEGDFTAFDQSEDAAFVDFERRIMEDCSFPEHIISDYLNLKASLSSRFGHLAVMRFTGEV WTFIYNTLANFAFTHLKYCIPPGTPQCYGGDDKVI >u97119 TESDYEGYDASQRGDSIQFEYQLMRHFGLSDAWVELFLDFRADFPTMTDLYVWWKLNIIS DVIGPKQSGRDTGEPGTYDFNTYFNLALIQLMYAPARTVPIAVGGDDMSA >u97367 ASDDFSKNDLTTDGPHIDLEMLIYKYLGGEPNTIDLWATCHRHWRYLGANGLMGKSDWKR LTGQATTALGNFIVNMNVHKHWLLDSLTKIKLMLVLGDDCTV >u97604 AENDMEEYDTSQNEITIENEVNWLRRMGCNEVFIRLFKQHRIEWRTNYPGYCQLIGYGKK HSGEPFTLDFNTLLCMALNGLLFPVEHFVFAAFKGDDSEL >u97726 FANDFSEFDSAQDEISILAFASFLTMLGFSDKCVKFYIKLRIKWVMALRGSSLQEDTITL LKGIFKKHSGEPATLCGNTWFNRAVTCLCVVIVNPYICGFKGDDSII >u97861 EMLDLTALDTSVRGGAVLVMSKLMRRFSIPEDLIEAYIADKMDFHTRNLTFAIMTFSGEI FTWLGNTIDVASRECAMFDMPPGWPMASSGDDIWR >u98398 STCDFTQYDMSCTAETLSFELCLFSYFCLDLVFPEAYQLYYFIKTEMYTQLGTSAIMRFT GEFGTYDFNTWYNIAYMALRYHFDETNPDEGCAFSGDDSIF >u99134 YANDYTAYDQSQTGEVLASEIAYLRHAGIPEHYVAMYEENKTDMSMFLGHLQTMRFSGEP ATYEFNCRCNIAVMNLQFPLDQHPEIPIFISGDDGGL >u99290 LENDFKAYDKTQDNVALEIELSFLALLGVPLDLLEMWRSGHVYTRATCRETGFMLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFAKPEDARTKIRCAFFLGDDSLF >u99753 TDNDYTAFDQSQDAAALYMELQLMVHFGIPQHYIDFYYWLKTETRSWLGPFAIMRFTGEW STFLFNTLFSIAYSFSKYDFPADALLCFGGDDSSF >u99805 YEFDVPKFDKSQDMMCFTLILEVMSVLGVSSEFIEYWRRASYEGTIFNSAFSMVFTLFYG NRSGSGGTLAVNCICLLFAFYTEFSNLTIVAALIKGDDSVI >u100031 VSGDDSFVVVSWEGQLFTFEGDATMYDQSESFGPLGVAWKACRRLGVDSSTIKLLSELAH NSYTVRSKDPTDQATLRINKRNRPIRDTGGADTSLGNSLVM >u100065 MAGDDFFGLVNSQGLKAYENDFSKMDRTQGVHALGVEFVILRAFGVRHFTLCRLFDAMLS NPRYESVKYDIRVKLPMQPQRATGAPDTTIGNTLIN >u100279 GVTDYKMFDAQQDEFTQQIEKEFFHMLGFSERFTDEYYRLRRNYDMQAGPISGKARTEKT SGEPATLLGNSVLGGVVMNYIFRGEGRCAMAIKGDDGFK >u100615 VEDDASKQDRQTDQDTLRIEMLIYEGLGLHPQLLNLWSTIHHRWYFWNRHIKGYNSSKRQ TGSATTALGNFIVNLLIHLKMFKDNWNKLLVAYLLGDDNSS >u100617 IEMDLSKQDRQTDAQMNAIELAIYEMLGMDKQLVRMWAHLHEKWRYFGADVSGFWQNMRH SGAATTAIGNVITNITLLSEAIKRESDKFVFCLMLGDDNLS >u100719 GVTDFEMYDSQQDEFSQELEKGLLSLMGVDQGFIDHYFSFRKGGKLLANGLSGRLGTEKT SGEPMTLLGNSIISMVLANWILRGDGPFVMAVKGDDGFK >u100758 TTNDFSEFDQSQTGDALSLELKVMEYASIPQSLVDYYFHLKTNMTSSLGDLAIMRHTGEG PTWFFNTLFNLAVTGLRYENAHLYPRCFAGDDSAI >u100858 TDNDFSEMDSSHAESSVKLEMLLYKLVGMPENMLNMYLSMRKRWMMSYMNNDGITKLWND WLQHSGQPLTLAGNTLLNMAAVGAFIELGEVLYAMFKGDDSHI >u100900 IENDFSKYDKSQKGLCMAIEFEIYRLIGMNPVTIEIWEEGNRVGIVFSFDTGIKFTIVWQ RHSGGVTTSLGNTIVNIVTIAYAYKRLRFFYYAIFLGDDSLI >u101247 LELDLSKQDRQTDLPILNTEIEFMGDLGVTEDCLDSFANITKHAYVQSSDKISLMLPPMQ WTGGEMTAFGNSFRNLLIMADLKRKYHLKFVAILGDDSLI >u101506 IMMDASKFEQSVSAECIDFESELYGAYYPGDKLFKYMMRKQRKYKGKARCQDGKLSFTIE GVRASGMNNTALGNCVISAGFLWDVQGKLASKDKTFEMRGHVDGDDVVV >u101709 GVTDGKDFDSMQNKFTQEIERRHSYHLRVPKEVIEAYYTYRNDYPMIQNGLFKATARSEK TSGEPGTLLFNSQLGGSVNNYVLRGMGPSAMAIQGDDAKK >u102045 VDNDFTEYDASQNSSTIEFETLILEDLGVVTEVIELYQERRSKWKTYYPGYASLEGRDKK HSGESFTIDFNTSLNMAICGYIYEFDLLVVAQFKGDDSNI >u102456 LTADFSEFDSSQEMQGILAGATYFRLCGVPEHVIDMYLDQRRKWLMVAVDKDDSTMMRAM LEGAWKQHSGQPDTLNGNTTFNMAAMGACYDVENLQFASFKGDDSII >u102994 RCSDWTEFDSSQNNVEHELLMMQLEAIGCPAELRDLFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDHVLFKGDDSLM >u103697 SCNDFSEWDASFRTPFSKVTSQLMTYMGIPNEVVQEFEAYREKWSMMFQHDLGTTTLRGS EKQFSGNPFTICENTIGNMALCFSIFDYRNFQMALFKGDDSAV >u103938 LELDLAKFDKSQRRLALMIEVHFMLVFGYPIDFVIAWIIKHNVSVLRSIKAMVKLVIEMQ RRSGDAWTYIGNTIHNGCVLAHCFGPMLLRQCIVLISGDDSVV >u104223 YENDLHKQDRQTNEAILDTEKELYIKIGLAPLTAEFWFICHRHWTFRSRMYKGVFDKMRL TGQVTTALGNFITNLIVHVDMVLSNIDNIKLMLLLGDDNLA >u104269 LENDFVEYDSSQQAMHVGFLGELLKFVGVPDHIVTSWKELRSERMMVARGVIAGRIEEKQ DSGEPFTLGGNTELARALIALLVQFDGLALCLSKGDDIYL >u104447 VENDFTEYDSSQSELTIYFESDILFLACHNPELVELYKEHRTNWSTSTPGLVHMRGYAKK HSGEPFTIDFNTILNIAICGAIYDIDDLCCALFKGDDSLI >u104580 LEVDFSKYDKSQDYNCYIVEEMLLVALGFPVELLGCWRYACFVSKLVNIKTKISGKIIYQ RKSGTAVTYFGNTLVCMSSLCTVADLSNAACLFSGDDSLI >u104622 LENDWSEFDSSQNNLEHALFMQAMRDLGCPSVLMEFFLQMMEMRFVTSGNHSVLVQDKKD SGRVDTLVGNTLFNAAVVLSLINYEDVVLAAFKGDDSVI >u105165 YEDDYTGFDGTQNEEFLYFQTLFMRQFGIPEDLISEFVIWATHLSSTIGPLGIMIPSGFK PTWFFNTIDSMAYQALKHKLTPHSSKRVARAFSGDDTLH >u105334 STCDFTAYDQSCQGETLSLEVLLMRHLNFPKWFVDWYVELKVDLKTSFGHSAIARFTGEF CTYTFNTFYNIAYMHLRFEIPRDMAKAFSGDDSIF >u105337 MEQDFDNFDRSQGESVVSIELELYRRFGLDLVEWYNWAEHSEYVTVASIKTGLEFVMRWM RRTGSPTTAMGNTLVDMVSVARVYRFPSDFYYAMFLGDDSLI >u105397 TDNDFERYDNSQDEGPLSFELNLMLCLNIDAELVELYKWLKLNAKCFLGNMAVARLTGEF STFLFNTYVNVAYTHLRYDIPANTARAFAGDDSSI >u106422 FTCDFTAYDQSCTEETLSFELAFMEYCGIPSSLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u106521 TCNDFSEWDASFRQAFVKLTSWLLIAAGCPRALVEEYEKFRESWVMQYRTMWGNASLHGE EKQFSGNPFTICENTISNMALCFTLFEYKGFQFAYFKGDDSAV >u106578 SSDLLAKFDKSQRRLALMIEVHFMLVFGYPIDFVIAWIIKHNVSVLRSIKAMVKLVIEMQ RRSGDAWTYIGNTIHNGCVLAHCFGPMLLRQCIVLISGDDSVV >u106759 RENDYSKYDKGEGYNVLPLERGFYLEFGMDIDEANTWFAGQDIGVIRAVSFLFKLHLELQ RRTGQLTTLLGNTIVCMLTIWFVYRIKREDVNWALIKGDDSII >u107324 MSGDDSLVVIWDHCGNMHIFEGDFSMFDQSQSFGPLAHQYKFMRALGLTAEYEALFRKLA RTQYVLKTRDAKAVNRIKVDLRDRPIRHTGGADTSLGNSIVT >u107566 HEVDISGFDSTVRGGSITNNVRVMQHFSIPQDLINDYVEDKLDFHTSTMHFGIMTFSGEI FTWLFNTIHEHSREALKYDLTDEPIMVSGDDILR >u107616 FECDFTSFDSSQNEISVMLEVEIFQRMCPELIGTELIEMYQKLRMDWIASNEYVKWHGSG VKCSGEPATLLGNTMVNMLIIISSFIFEGVKFCLFKGDDSLI >u107687 TTNDFTGFDSTQKGDSHGFEMHLLEWAHLPLAWTRHFVDLGRGRDMSLLYSWWKTNIVSD VIGPKELGRDTGEPGTYDFNTYFNIAVTSRMYVIPPNTSLAFGGDDFAA >u107707 WESDLEQQEKSMSGAYVTLFSKVLEHFGVPRDIIEAYIDDKLDKKTARMHLGLMTFSGEI FTFLANTLGNMARIAAKYDLKPAERGKFGGDDSLC >u107828 VETDYTAWDSSVDGAFITFDCWLMAQVGIPDWYISTYRSEMEGTLSRLGNLRTMQHSGNR WTFLLNTLRNVALTQHVYAGIHNTPQAFGGDDSLI >u107941 GTTDVAEMDAMQDYFTQLVERLILEHLGFDDEFLDYYYQFRSNYPMVGRDVFKCRGGTEK TSGEPGTLLLNSILSGVFSYFIMEGRGPFVIIIKGDDNGR >u108081 REIDFSKYDKSQGELHLLMEMLIFDILGLPPFYLLLWYRIHFLTQVKDKSMGFTAWLFYQ RKTGDAATFIGNTVVCICMLLLLYDFTGILFAIFAGDDSIL >u108116 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELMALYEEIKIDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPNVARAFAGDDSLF >u108182 VENDFTEYDASQNTLTVQFESDILLLVSQNVELAELYREHRTHWTTVMPGVVVMKGYAKK HSGEPFTLDFNTLLNIAICGMIYEFDELVVALFKGDDSLI >u108371 TANDYTAFDASQGYDSVLLECHVMRLAGLPDALVDSYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLSCMALFGGDDSAI >u108429 LETDFSKFDGTLSSDVRFCEKKIMCNMMLPQHRRKLKELFDAEINCPSKTSLGYRYKVGT SRLSGSANTTLGNTLVNAFAAYVGLRLAGLTTQESFANLGPKYGDDSIT >u108447 TINDYSAFDSTQGGESLNMEVVLMQRYSIPTVLIQHYLDWKLHQRSLSIGEKKLARDTGE PGTFLFNTLYSIANCTLKYGKITCMALFGGDDMAA >u108709 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELMALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPTIARAFAGDDSLF >u108946 LTADFSEFDSSQEMQGILAGATYFKLCGVPDHIVEMYLSQRRRWLMLAVDKDDSTIMRAM LEGVWKQHSGQPDTLNGNTTFNMAAMGACYNIIDLQFASFKGDDSII >u109228 RENDYSKYDKGEGYNVMPLERAFYLMFGMEIHEADLWFSGQDIGVIRAVSFLFKLHLELQ RRSGQLSTLLGNTVVCMLTVWFVYRIKRKDVNWALIKGDDSIV >u109315 CTTDVAEMDSIQDIFTQAIEREVLLRLGFDDGFIAYYYQFRSNYPIIIQGVAKATGGTEK TSGEPGTLLFNSVLSAVFSYFIIDGKGRFFIVIKGDDNAR >u109609 YEDDFEAYDASQGEGAWGCENGVYDDFHPPASVKHGLEQQRQTIGTGKYYFYSCPFTRKS GDQNTSIGNTIINFAAHALVMSRLGLSDFYMLGLGDDNLI >u109713 LELDISKFDKSQDATLLEAQCRIFKLFNMADWAIDLWIAFHELCKLTFPKWGVRFTVGFQ RRSGDALTWFGNTLVMLMIMAYLYEIEKSVFTILGGDDNTT >u109953 MVNDFSDFDSTQGGNSVWLEVLVMRYCGIPDELVDAYTHWKTHLRSDRIGPKKTSRDTGE PGTYFGNTIYSIAVTFARFGWEASRKGMWVFGGDDMAT >u110281 VELDISKYDKSQGLVALLFEIKLLRYFGVDERILDVIYGSNVSTILKSFNSGLKMKIPLQ RKSGEARTLFGNTVFNMAVAACAYDMTKARFAVFQGDDSVI >u110299 VQSDFSQFDSTQHERCLRLINRLMRLCGMPEEVVKLMDLDMESIKVTHRKGFKYLCKNLR LSGRSETLLGNTMLTLMTFLHCCGPNLCAILVKGDDVLL >u110451 FSGDWTEFDSSQNNVTAALQQRIFREIGVPEHYARLFGDMVKKRTVACTTGSLQVESKKD SGRVDTLVDNTVFNAAVLLSVVANPDDICL >u110472 IELDISKYDKSQGEAALIFECNVMRLLGVEERFVDHWQAFHKYALLTAKSEGLLEVKYSV NYQRKSGEANTFIGNTLLTLALLLYVYDYNEIYFLTVAGDDSVI >u110524 VGGDDSLVGVHLDDGKVRWLETDFSQFDQSQSTGPLDIECIYLGRLGLSPSDVCYVQEMH KATWVFRGKGDVKFRIKHQHRPERATGGPNTTSGNSSVN >u110562 LETDFSKFDKSQEHFCLKVQKYIMQYLGMPIDIIKEWVNCHLINKLIFNGGVYLETFNQR RSGDVFTFIGNTIINMAAMAYVYNLKEEIGGVFAGDDSII >u110758 DCSDVNEWDTKFRTVFQQLTSTLVCAIGCPTWLASWFTQFRSKWKMVIMTKSIRTVLIGD EKQFSGNPFTICENTIGNMAMTYAIKRFVSEYISLFKGDDSAI >u110915 IEIDFEKFDKSQLQMCHEMEMAVWEVLGMDAFLLSIWKLGHFDTSATDFIAGIKSRRSGD ASTCFANTLISMMAIAHSVELQKMICAYFVGDDSDV >u111000 VESDFSKFESTQQMDLLVHIELGVWKRLLNLGDYHIVERLFWLKMVKQGHCTHGVKFCFL FCRGSGDMDTGLFNTIINWIATRYFEDINGMFKGQFLVDGDDNVM >u111835 QANDMSKFDKQQTEDHLNVERAIYEWFGVEPEFLNFYYDFHFNWILTSAQTQMYLNAMRI SGEPTTALGNAIVNLIIHSKLVVNNISKLTWLLVVGDDIII >u111857 FCADYSEWDSRFRHIFVEIMGEFLVAAGCEEALVEEYIQFRKKWVMTANNYRSAGNTKLY GEEKKFSGDPFTICENTIMNMILTFSAFDFDGIALALFKGDDSAI >u112018 VCGDDSVVARWYNGKLTFKEGDARMFDQSQSFGPLCAEYQALQHFGVPREITGRLGEVAA NTYVVRPYRKDRDQAVFQLGRKSRPMRDTGGADTYIGNTLVM >u112368 GVTDFTMFDAQQDEFTQAIEKEFLRRVGASEEFIAHYYSMRKGYKISAGPLSGTAGTEKT SGEPGTLLFNSIVNCMMMNFLLRGEGPSAVAIKGDDGFK >u112406 WCYDMLGVDTNISQFYYXLHKNWPFXTQLQXGXGNNXRLTGEPATAVGNFLINTIVNXEL LGNNYNXLXLSLMLGDDCIS >u113300 ATNDFSEWDSTFRTPLANVTTQLIRYMGCPEWLADWFSLYRKEWTMHYASKVGNTKLSGH EKQFSGNPFTICENTILNFALTHLVYDFKEPILQLFKGDDSAI >u113620 TETDYTSWDSSVDGPFIKFDCWLLHQMGAPAEYIASYQEEACSTRFFRGNLRLMQHSGNR YTFLLNTLRVLALTQATYQRLRFVPQAYGGDDSLI >u113685 LEGDWTEFDSSQNNVEHELLMMQLEAIGCPAELRDLFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDYVLFKGDDSLM >u113850 LEMDMGKFDKSQGLTSLLFECEMFVRAGMPRWMVNLWFLSHALARVKGFGTSLRTRLPHQ RRSGDPWTFGGNTFFLLSILKYYCKDSINFLMVSGDDSLV >u113927 LENDFKAYDKTQDNIALEIELYFLSLLGVPEDMIEMWRSGHVYTRATCRETGFLLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFQNHNDAKHKLRCAFFLGDDSLF >u114016 TTNDYTSFDKGQAGEVLGFELMRLAQADIPREIIDSYKRDKLSLTSQLGDLATLRFTGEA ATWKFNTDMNYAMIGLMYDVPPTMALMVSGDDSLI >u114079 LIVDAQQFDSQQNAVTVEIERRFCEMAGASPIALEEYYQIRQAGVPWSLLGRAQGKMNGE KGSGFPDTKLGNTVLQLCVASHKYKGRGPKVVAAKGDDYLR >u114132 FANDFAEFDSSQFILSPYANAIIMIHLGCPWNLVESYIEMRRCWITSDDTVKLRGHQKMH SGEPFTLVGNTFFGMLIIAHCVEFDLLCYAVFKGDDSAI >u114366 TDLDISALDSSERGDSLQLEINILKHFSIPDEFIEDYTEDKYDFHTATIHFGLMRFSGEI YTFLFNTMFMLARTVTKYSILRGRPIKVAGDDVLI >u114385 LENDLSKQDRQTTKESIQVEMGVYHDLGVTADTLRMWYEAHNHWKASDKVTTIILDGMRQ TGQATTALGNLITQLTVHSRHVERNLKTLKLMLMLGDDHLS >u114561 SCNDFSEWDASFRKPFQSLTGKLIQFLGCPEELARWFVAYRENWTMLYRNKFGTTSLRGQ EKQFSGNPFTIAENTIGNMALCFALFDYKNMRMALFKGDDSAV >u114642 LELDIGKFDKSQDETMLDAQCKLFEAFGMETWMIELWRTYHELCKLSSPKWGASYWVGFQ RRSGDPLTWFGNTLVLLMILAYLYDIEKAYLVLVGGDDNVC >u114741 FSNDFTAYDQSQDQKVLAFEVRLLNYFNIPRELIDEYVWIKLNSHAFPGPLQTMRFTGEW CTLIFNTFMNMAYMNLKYHIPKGMPQCYAGDDSIF >u114773 GVTDYKMFDAQQDEFTQQIEKEFFHMLGFSERFTDEYYRLRRNYDMQAGPISGKARTEKT SGEPATLLGNSVLGGVVMNYIFRGEGKCAMAIKGDDGFK >u114920 TGNDVTGWDAGCEAEFLYGIDLYLMELCGFPQHYIDSYLHRRLNSYTHLGKFPIMQASGD RYTWLLNTYRNIAITTLYFTIPRGTVMAFSGDDAIV >u114991 QANDFTAFDQGQDGSFLYQEVSIMESLCIPQADIDYYVWLKTHMQSRYGHLSIMRFTGEV FTFLFNSLANLAVTNLRFFICGRPTLIGGDDSAI >u115093 ITSDGTRYEQGFSRGSGEMGTSVWNTIINLFMIFYAKYMEVTDFDAAWAFLQSSAIAGGD DSVV >u115134 VAGDDMLLLNHEKSRYIEGDASMFDQSQATGPLEVEHLLLAKLGLDQETIEVSLQASKAN YVGYSGDKTGKLLLTVDKKGVATRASGHCDTTVGNSIVM >u115171 SNNDFEEWDSSYNEFLIEFDCLLITALGANEYVVNCYRFFRKHWVLSYGYADFPIKLVGE MKQHSGQPFTLVCNSAGNMALTASLIDFTDIYYALFKGDDGCV >u115421 VEDDLSKQDRQTDWELLNIEKLIYLYCGLDESICEMYMKMHKNWTWIGHGVRGKCDAGRL TGEPTTSLGNAIVNLIVHIIFIYDNWNDILAVYILGDDNMI >u115465 TGNDVTGWDAGCEAEFLYGIDVTLMELLGFPQQYIDTYLHRRLNSFTHLGSFPIMQASGD RYTWLLNTYRNIAITTLYFNLPKGTVMAFSGDDAII >u115790 TVNDYTAFDSTQQGESVVLDNCLLAWVGCPLEVREAYAYWKTHIVSDQLGVTPVQTHRAT GESGTWLGNTLYNIACVALLYGPKALHRGAWLFGGDDMAT >u116058 TCNDFSEWDASFRTAFVKLTSWLLIAAGCPRDLVLDYENFRSSWIMQYRSMWGSASLRGR EKQFSGNPFTICENTIGNMALCFSIFDYEGFQFAMFKGDDSAV >u116237 YENDLEKQDRQTDSHIITIELSLYKALGVHDDVLYLWQTMHRIWRFRSNFNWGFCKEMRL TGQSTTSIGNWITDMITHTDLLITQIDDIVYMIMLGDDNNI >u116338 TYCDYTGWDTGVNESFTLLYRSIMHSYGIPDHVLDRWQRERHSLVSFLGPMPAMQASGDR YTWLHNTIGNMALTGISFSVDGSEPIAFSGDDMII >u116935 IENDWTEFDSSQNNLEHSLFVSCMRRLGCPEQLVLFFLEMMQMRYVSSGDHSVLVQDKKD SGRVDTLVGNTIFNAAIVLSLIDYKNVEFAAFKGDDSVI >u117228 VAGDDSLVGVWENGVLRWYEADAGMFDQSESYGPLLSEYRALHKLGVPGRTTDLLFHLAH ASYRVAGREHQWHATIDRSHRPMRDTGGADTSIGNSIVM >u117240 VENDFTEYDTSQNSVTIEFECCFLRSMQLTNEFVQLYKEHRSEWVANYPGFVSMQGRFKK HSGEPFTICFNTILNAAVCGAIYDFRGFVGGIVKGDDSHF >u117284 LELDISKYDKSQEGTMLDAQCMILKRFGVDKTVIEMWRQYHEICKLSSPNYGLSYSIKYQ RRSGDALTWLGNTMVLLMIVAYLYPIEKAYMVLLAGDDNSM >u117375 MVADFSEFDSSQEMQGILAGAMFMRLCNVPYHIVDMYLKQRQHWVMIACDKSDGGGVMRA VLEGAWKQHSGQPDTLNGNTTFNMMAMGACYVYTDIQFASFKGDDSII >u117408 MMADFSEFDCSQEEKGIVASTVVLRMMGCNQKILGYYLKLRSEWTLSSIANDGPNSITAY LDGVWKQHSGQPFTLDGNTMFNMMAMGMCYDWTYLDAAAFKGDDTGL >u118224 LEIDFSKFDKSQEGMLLLIVTKILVVFLDMPIDMAKRYVEDHVINTLAFRSLGVHLRTRF QRRSGDILTLLGNTLVSMVVIAFAYDLGNSYGGVFVGDDSLV >u118475 LLNDFSEFDCSQEKRGIEAIFEMYRICGMNKFTMDFMFRMRSQWTLTLKSTTKHIPIQAF LEGQWQQHSGQVHTLGSNTLYNMGAMGMCYDFTNMYFAAFKGDDSFI >u118578 VGADFSEFDSSQEMQGILAGLMFYRLCGVPEEICQLYLQQRAKWALIAADKNSVSSMMMR AILYGLWKQHSGQPATLDGNTTFNMMAMGACYEFIELVFASFKGDDSDA >u118867 LENDFSKFDKSQQEICLFLEMEMYRLLGVDVDFIQNWYRTSEYSRIKSTTAGLKLFSVWQ RKSGEGTTAMGNSIVNMLVLCCFYDIDPSDLLYSVFMGDDSLL >u119230 QESDFSKFDASLGPFWLWFNRLFIYSLFPDHKDELDELLGDSEFQEVSTTLRQKFSYGCG RFSGVNETALFNTLDQAFVQYVSFREHGLSHKSAVARLEQCLLGGDDGIV >u119394 LEADSSMYDKSQSLLALMIEVEFLKRLGISCEVTEQLKQSFIGRVSTRNAGLSFVIAMQR KSGHVDTMIGNLIFNFVSLGKSVGYEKIYGMIGKGDDNVA >u119420 FTCDFTAYDQSCTEETLAFELAFMDYCGLPSELIELYTWIKLTMHTQYGTTAVMRFTGEF GTYDFNTFWNMAYMTLRYDPDPSIASCFSGDDSLF >u119710 GENDYEAFDATQHVSCRMLIIEMLVEHFGMAPDVARYMRAAAKEKFGHTLNGTFVSMEGT MASGHPDTYLTNTMMNILLQWYASACCGVFKPPIAAAGDDSVI >u119854 SENDYTQFDRSQKAEFVLFQIELMKFFNVPQVLIDTFLDLKLNAHTDDGLLDFMILTGEW CTFLFNTFDNAAFTVTKYDIPKGTPCLFGGDDSVV >u119923 VAGDDSLVIEWWNGTLRVVEGDASMFDQSQSFGPLEFEYQCQRRLGLSELAIQLMRKLNA APYVAISRDKQRLGKLTIDRSQRPIRDTGGGNTSVGNSLVM >u119935 FTCDFTSYDQSCTAETLAFELTLFEWAGIPQDLSDLYSFIKINVYTQLGHLQIMRLTGEF GTYDFNSWWNICYMRVRYGFDSDQPCCFSGDDSLF >u120015 AEVDMSKYDKSQPQLSLELECRLFSRMGMPAELVKYWRLFHLNVRLSDRHTGLTFSTGPQ RRSGDPATYLGNTFYNMIAVDALQDLRTIRLAMFSGDDSLL >u120287 FTCDFTAYDQSCTEETLSFELAFMEYCGIPDSLVELYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u120457 LEIDESKFDKSQLEFIFQVEQMFWEMFGLNGESADIWAKGHSSTTLRSWLHGFTVQIMFQ RKSGDVTTCFGNTIINMMALADCFDLKDAAAMYFVGDDSFL >u120661 MVADFSEFDSSQEKQGIMSSILILKFCGFSTKITNFYMEMRQKWTLSARTEGDVMMNMTL CGEFMQHSGQPFTLDGNTLFNMACMGMCYNIKQMCFAAFKGDDSII >u120796 VAGDDSIAIIWDEDGNMWIIEGDFGMFDQSQSFGPLRLEWANLLRYGVSYGTVGALERLS HASYVFRSGTKYSKEKIVVSREERPFRDTGGANTSLGNSLVT >u120869 LELDISKFDKSQDDMALDLQCRIFVQFGMPSGLVNRYRQEHVKNKIKFRALGLTLTTFFQ RRSGDVFTLLGNTLVTMFSAAYCYDLKNAVGGVFVGDDSLI >u120914 FCSDLQKQDMMTTHTELDAEFLMYEWLGVDPSLNRVYRESHNNWRFKSNTFRGVSDAMRW TGQVTTALGNVLVNMMVHSQLMKDNSKSVKHCFMLGDDNLM >u120925 LLLDFSKFDSRNKTEVMTRLYRIYKKHLSTELYHWLEQTFHKFGKTSQGIKFSVEATVAS GRIDTSLGNTWIVFMLAYAIMYLLDPKYLPDLFISALGDDNNI >u120949 MMCDFTEFDSSQNEKAMVASVMMLKSMGLPSHILDHYLNRRKEWVLYVKNNTGTVDLTVY LDGVWNQHSGQPFTLGGNTQYNMSAIGMCYNFKDFQFAAFKGDDSVV >u121524 FAGDDFFALVHVGSEVFALENDFSKFDRTQGVHALGAECRVLVELGMSRKQARLLFQTQL ASPRYQVERYEIKRRLPMPPQRATGGPDTTIGNTLTN >u122029 WESDLEQQEKSMSGAYVTLFSKVLEHFGVPRDIIEAYIDDKLDKKTARMHLGIMTFSGEI FTFLANTLGNMARIAAKYDLKPAERGKFGGDDSLC >u122090 TCNDFSEWDASFRKPFVKLTSWLLIASGCPRNLVNTYEKFRESWTMQYRTIWGFASLDGF EKQFSGNPFTICENTIGNMALCFSLFEYKDFQFAYFKGDDSAV >u122140 FSCDFTAYDQSCTEETLSFELAFMEYCGIPVSLVELYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u122281 ASGDDSVVSFGGLHPEFDFGEADQSAFDHTQDDGPNKIFQGYVQRALGFPREFTELAYEA CSSGYTSRKGRFFARGECGTQMPTGITTTTTYNSLAT >u122633 TTADATFYDYHQGAPGLLFEQMLFETFSMPQPLLSEYMRTKVDTQCFLGHMAIMRLTGEW FTLDGNTYYNIADFLLRHPQCLSSLMAPLHSPISRCLLVVGDDRCY >u122634 LVNDYEAFDQKQDGCALYLELKLFERFSLPKWFTTMYFESKVGAFSWLGHLAIMRFTGEF GTYLFNTLFNMAYANLKFDLSVMISLFGGDDSAF >u122826 LEADMSQYDKSQLEMAMRMEIYWYEHVGLNKEFINCWLVAARQASLTAKVGMRLLIEYQR KSGHSNTTLGNTVLTMLVMAYCYDLGRPWASMFVGDDSTI >u123451 SCNDFSEWDASFRKCFAKLTTNLILWMGCPQSLADFFEHYRSRWTMIYRHEYGTTSLKGE EKQFSGNPFTICENTIGNMALCYSLFQYEGVKLALFKGDDSAV >u123597 VSGDDSLVLTKREGRMRIYEGDASMYDQSQSFGPLRYQYDVLERLGVPVEVTNILADLAG NNYVLHTRDPTYHGIINKKNRPIRDTGGTDTSIGNSLIM >u123915 LEIDFSKFDKSQDDLTLEMNILLMRKFGMPEHVLTEWEKCHVNTKLVFQSFGIKISIMFQ RKSGDVFTFMGNTITSMLALGFVYNLNHAVMAVFGGDDSLI >u124222 AILDAKTFDAQQNEVTLEIERQMLLLLGHKIPAVHEFYKIRGSLPYRMFGAFEGKTDGSK GSGFLDTKSGNTILETALAGMLFEGKGPKLIAAKGDDLTR >u124229 STNDYTAFDQSQTGEAVALEMVNLRAHHIPDPIIEYYIELKLNLQCQFGALAIMRFTGEG PTLRFNSDFNAALMGVQYVVEEETARAVAGDDMAI >u124844 VENDFSSYDKSQHIETWILEREVYRLLGCDEDLLQHWEDGHWFTKIRSPAVGFTMYTLFQ RKSGDVTTSFGNTLVNMITMIYSYRYVDIEYGLFLGDDSLI >u124877 AILDSEEFDSKQGPVTLYLERCFLGKLGFDFEDIDEFQQARQPNRFRAPGQFKGKHKGEK PSGALDTKSGNTTLEMVLASQMFVGKGPEVEAGKGDDYLK >u124963 VDNDFTEYDASQNSSTIEFETCILEDLGLTDECIDLYRNHRSQWKTYYPSYASFEGVDKK HSGEPFTIDFNTSLNMAICGYIYDFDDLVV >u125351 ITTDVVEMDSIQDVFTQEIERQVLARLGFTDKFVEYYYSYRRNYPLFCQGVFSAKGGTEK TSGEPGTLLFNSVLSSVFACYIIRFDGDFVMAIKGDDNTI >u125405 LETDFSKFDGTLSSDVRFCEKKIMCNMMLPQHRRKLKELFDAEINCPSKTSLGYRYKVGT SRLSGSANTTLGNTLVNAFAAYVGLRLAGLTTQDSFANLGPKYGDDSIT >u125490 FENDVKRMDVNVDSYVLNDEYKFLEILGLDLNIINLIKEIHKSFYFRGCNTKGYSKDKRL TGEMTTALGNVILNMIIHSKFVLNNMKNYKASFFLGDDSLI >u125543 LENDYTKFDQSQKAEFVHFQIQLLEYLNIPKYLIKMFIELKLGYHDDKSLIDFMILTGAF YTYIFNTLDNMAFAATKYAIPIDTPQCYSGDDSVI >u125778 YECDYTNFDATQNDVSMTVERMVYETVFPGIGSLMEVYFDARAKWRADTGFFAWDAQFIK TSGEPATLLGNTIVNMFVMYSAFTFGGQEFALFKGDDSLI >u125855 MVNDFSDFDSTQGGNSVWLEVLVMRYCGIPDELVDAYTHWKTHLRSDRIGPKKTSRDTGE PGTYFGNTVYSIAVTFARFGWEASRKGMWVFGGDDMAT >u126262 MTADFSEFDTAQEEIGTLSSAVILRSAGIPENLVGWYLARRKEWTLLNRDSVFDLSVLTT VPGTWKQHSGQPFTLTGNAIFNMSAMGMVYNYKNLKLAAFKGDDSII >u126687 FEADISKFDKSQGELHLDIECALFEFLGMQKRVVEFWRHCHTVTYLKDFINKIRVQIYHQ RKSGDASTWFGNTIVTMAAIAVALYGYMEEVLVGMFSGDDSGL >u126926 LELEVGKFDKSQDENMLEAQCRAFKILGMHDWQIELWRVFHELNILVAPKFGARMTVGFQ RRSGDSITWFGNTLVLLMMLGYLYPIENSIACVLGGDDNYT >u127036 YEDDYTAFDGTQNEDFLVFQVMLMSECITLDQLIDEYIEHMTEVKVHGKRSRPFIASGYK FTWLINTLDNMAYQSVKHRLTPHTPEERVARAFSGDDSIH >u127367 TINDYSAFDSTQGGESLNMEVVLMQRFSIPTVLIQHYLDWKLHQRSLSVGEKKLARDTGE PGTFLFNTLYSIANCTLKYGKITCMALFGGDDMAA >u127771 TENDYERYDQSQGAECLWFEIYLMRFLNVPTEYIEFYIFLKLNAETQFGLLDIMRLTGEW ATFLFNTLVNMAYTFLKYKDFRRKLEDKPAAAFGGDDMVV >u127835 AENDMEEYDTSQSEITIENECNWLKRMGCNEFFVWLFKQHRTEWRTNYTGYVSMVGFAKK HSGEPFTLDFNTLLCMCLNGLMFPLDHFVFAAFKGDDSEI >u128463 YENDLSKQDRQTDKAHLDLAAALYAYLGIEATTLALWRRCDTMWRFKGNNSLRGVLPHMR KTGEAPTALGNIITNLNIHKSWVLHNFDNLNLFLGLGDDMAA >u128704 VAADITEFDSSQEAKGIYSSALLLRSYGFNQKVIDGYLSMRNSWSLYMSGKTVNESFYCI LGGVFKQHSGQPFTLDGNTIFNMGLIGACYDLGHIFFASFKGDDSFL >u128982 LELDIGKFDKSQDEAMLHAQCKMFKIFGMDDVYIDLWRVYHELCRLTSPKWGARYTVGHQ RRSGDPLTWFGNTLVLLMILCYLYDIDKCSLAVLGGDDNLC >u128993 TADDCVALDQSMREEFLAMECLLMANYGIPAHVIEEYVLVKLTTYCFLGPLAVMRFTGEW CTFLFNTVGVIGHKHLKYLIPRGTPQVFAGDDSAI >u129117 WESDLEQQEKSMSGAYVTLFSCIMRHFGVPEDIIDAYVEDKLDKQTARMHFGLMTFSGEI FTFLANTLGNIARFVAKYDVTPGERGKFGGDDLLM >u129183 TELDITALDSSERGGSLQLEVEIMEHFCTPAELVRDYVEDKFNFHTDTIHFGLMRFSGEI FTFLFNTMFMLARTVTKYAIPRGSPIKVAGDDILL >u129188 LENDYTKFDQSQKAEFVHFQIHLLEYLNIPKYLIKMFVELKLGYHDDKSTIDFMILTGAF YTYIFNTLDNMAFAATKYSIPIETPQCYSGDDSVI >u129224 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELMALYEDIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKVARAFAGDDSLF >u129344 LMVDISKYDKSQDEFDITLQVEFFRWFGLSDYDAELLLATYRETKLISKDLKVQAELAFQ QKSGGPFTWLGNTILLLVCVATVLDLRRANLVVLGGDDSII >u130145 LECDWTEFDSSQNNLEHHLLMANLAALKCPEVLRDNFLAMMRIRNVQSRVGTVRVENKKD SGRVDTLIGNTLFNAAILLSCIDRTEMKYLLVKGDDGLV >u130390 LEGDWTEFDSSQNNFXHELLMMQLEAIGCPAELRDLFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDHVLFKGDDSLM >u130493 VSGDDSLVAVWNGETWDWYEGDATMYDQSESLGPLLSEYAALRALGVPENVITILYQLAH ARYMVRGDGWTLTIDRSERPMRDTGGADTSAGNSIVM >u130611 TEDDYTAFDSTQGGEFLNFDRLIMLDAGIPEKDILDYLYFMTHLETWMGRMGLMMPSGCK FTLLFNTTRSAAYQALKYDIKRNTPIALTGDDTAC >u130978 FACDFTEYDSSQYDLSPLINAIFMLSMGAPVKLVDFYINMRANWVLSDDVMKLYGHDKMH SGEPFTLVGNTLFGMFVIAHAVAFDHWAYAAFKGDDSAI >u131060 IDTDFTEFDTSHCRASLEAEITIFKKMGIPANIESLYRNQRMKWTLFYVNNYGLSKLSNV FMQHSGQPNTLTGNTLFNMMAIGSCYKFENLIVAAFKGDDFHG >u131064 TGTDYTSWDTGCNAPFLVFDVWLFRWLGLPEAFIDHYVHRKLNVRCFMGTMPIMQCSGDR WTWFLNSIRNIAFTHNKFSIPWGTPQCYSGDDMLL >u131172 GEGDWTEFDSSQNNVEHELLMMQLEAIGCPAELRDLFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDHVLFKGDDSLM >u131344 LENDFSKYDKTQSETTYECEYIIYELLGIDRQFLNYWKDGHCVTKLVSRTVGIALVIIFQ RKSGDATTSIGNTLVNMLTIAAVYNIVDFKCALFLGDDSLL >u131662 LENDFSKFDKSQQEICLFLEMEMYRLLGVDVDFIQNWYRTSEYSRIKSTTAGLKLFSVWQ RKSGEGTTAMGNSIVNMLVLCCFYDIDPADLLYSVFMGDDSLL >u131743 IENDLEKXDRETNLFGLEVEIXLYEEFGLDKEVCDVLRDVHKHWXWATDTIXGKHSGVRL TGQPTTALGNFITNLRCHLLLRMREKNNIRNMLVCGDDNLL >u132104 EMCDIEGFDSSIRGADVTLECELMRHFGVPADHVHEYVEDKMDFHTRTIHFGIMRFSGEI FTWLFNTMHTLARECLKFNHQPGDPIAVSGDDILK >u132257 FACDFTQFDQSCVGETLHFELLWLRYFKVPEEIIQLYLMIKLDLQHTFGHSAIMRFTGEA STFAFNTAYNMAVIASKYEIDQGTPCAFSGDDSII >u132323 LELDISKYDKSQEGTMLDAQCMILRRFGVDKTVIEMWRQYHEICKLSSPNYGLSYSIKYQ RRSGDALTWLGNTMVLLMIVAYLYPIEKAYMVLLAGDDNSM >u132630 LENDFSKYDKTQSETTYECEYIIYELLGIDRQFLNYWKDGHCITKLVSRTVGIALVIIFQ RKSGDATTSIGNTLVNMLTIAAVYNITDFKCALFLGDDSLL >u132702 LEIDQEKFDKSQTRECFEVEMYFLEKLGLDKELLAIWGDGHESSTAINFANGIKCYFVYQ RKTGDAMTCFGNTLISMAAMATVFDLKGSEASYFVGDDSFI >u132853 NAGDDVLVVVNTGFTYEIIEADVSKCDHSMRLPMLRAEYSLLAHAGLKEDTLDFLRVNAA AALVVCRRTRKDFGQKVVYRQAERNTGGTDTSIGNSLVI >u132860 FTCDFTAYDQSCKAETLAFELVLMDWAHIPRELSELYYDIKVGMYLDRGWYKIPSAIMRF TGEFCTYDFNTFWNICYMATRYNIRNDTACCFSGDDSLF >u133004 FEADQSKFDKSQDHVSLELERLVYTMLGLDPSVLTTWVQACEYGEVASVSAGFRAFVAYQ RKTGTGTTTLGNTLVNVFSTITAFKFKIEDVAYAIFLGDDSLV >u133324 LESDFKSNDATQNGAWRKHEAMFYMKLGAPQWFVRAFAKQTTVRVWTRVGLEATVQGQRW SGEATTTTGNTYVGACQIQSALSQAGVEDSMNIHGGDDYLG >u133380 ANNDFSEWDASYRQPFTTLMWDLMVASGCPTPLADEFKQFRAKWKAIAHTKHGNIVLQGN EKQFSGNPFTICENTIGNMAMCFAVFTYDHPTVALFKGDDSSV >u133460 QWSDKTAFDSAQDHSALHMEIRAMEFFNVPQSLIDIYVKDKLDTRTWVGHMAILRFTGEL FTWLFNTWHVIGRTQCQYLIPWGVPQMYSGDDEAH >u133473 LEIDYSKFDKSQTERCAMIEMFIYSMLGLDKDFLIYWYESLEESSVYNYHDLIKAFIEWQ RRTGTATTALGNTLITMVTVCYVLFPDHPEDDMDGPFELAAYLGDDSSV >u133489 TTNDFTAYDEANRGPSLHLECDIMRTFSIPSHYIDEYIFLKMNVISWMGNLATMRFSGEF ATFDFNSYTGVAVINLALVIPRGVAQLFGGDDSAI >u133626 TANDFSEFDQSQTGDALSLELKLMELLSIPDHLLSHYLHLKTNMSCSLGPLATMRHTGEG PTWFFNTLFNMAVTGARYRNASEYSRCFAGDDSAV >u133707 IELDISKYDKSQGEAALIFECNVMRLLGVEERFVDHWQKFHKYALLTAKSEGLLEVKYSV NYQRKSGEANTFIGNTLLTLALILYVYDYDEIYFLTVAGDDSVI >u133828 TEDDYTTFDSTQGGEFLNFDALLMRAMGIPEFEIEQYLNFMCSLCCWMGKMGYMMPSGCK FTLAFNTTRSGGYQSTKYIIPKKMPICLTGDDVAC >u133954 STNDYTAFDQSQTGEALSFELMMLRAFGLPDGVISYYTELKLELTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPSDTAVAVAGDDLAM >u134001 TVNDYTAFDSTQQGESVVLDNCLLAWVGCPIEVREAYAYWKTHIVSDQLGVTPVQTHRAT GESGTWLGNTLYNIACVALLYGPKALHRGAWLFGGDDMAT >u134015 IMMDASKFEQSVSAECIDFESELYGAYYPGDRLFKYMMRKQRKYKGKARCQDGKLSFTIE GVRASGMNNTALGNCVISAGFLWDVQGKLASKDKTFEMRGHVDGDDVVV >u134048 MSIDLKQQDSSHVNVHRFFIAKVLAFLGFDDTICTLYLMSRARRFCKGLTMMGLLFEVIE RLFSGEPGTALFNFLMSTGTSVCTYDFAKFEVFLAKGDDNTV >u134218 TSIYSRKYDFTVRTDSXRKSGDPATFLFNTLVTLCLFCNCYNLHSPRIVCAVFGGDDSLI >u134257 LENDYTRFDQSQKAEFVNFQVHILKMFNTPEHLINKYMDIKLNCFNDISVLDFMILSGDW ATLLFNTLDNAAYANLQYNIPPGTAQLYVGDDSAI >u134489 VELDLSKQDRQTDKPILEAELDFLAKLGITNDCMASFRNIVDDKSYIRTADNLTFKIGPM QWTGGELTAFGNTYRNLLVVSDFYNHNKYEHVFVLGDDSLF >u135239 TTSDYTAFDSTQRGDSLGLETMLMRHFCLDEAWVSLFSDYRHLAADIPELYTWWKLNITS DVIGPKRTGRDTGEPGTYDFNTYFNLALIQLMYSPPRGTPIAVGGDDMAA >u136589 FDDDIEGFDGGQNEDFSHFQTLVAHFYSVPPPMWAEYQRFTAHILVLGKRSRFWIPSGLK PTWLFNTIDNMANQALKYDLTPHPPWTGCSAGRSRGVARGFSGDDATH >u137026 MCADITEFDSTHSEATIDFEVRLMGLMGIPDSVTEIYRALRQTWTLNTFAGHRLAGKNKQ HSGQPSTLFANSLVCLLVNISMLNREQILAGDYAIAIKGDDSFI >u137458 IEDDLEKQDMQTDLPQLNVEAAIYKLLGVQDEVLQFWMTCHRFWTFKGNQGLFGHDDLKR LTGQATTALGNVITRMNNTKDSIISMGNSMSFAVFLGDDLNI >u137757 STCDFTQYDMSCKAETLSFEMCLFSYFELDVQFPDLTELYLFIKTHMYTQFGPSAIMRFT GEFGTYDFNTWYNIAYMAFRYELDVRAPTGGAAFSGDDSIM >u137825 LAADVTEFDSVHSQVTKEVEKILMQKCELPQPIIDLYMHMRNKWKLSTYSVGYLHGEHKQ HSGQPATLFSNTFLAMMIMIIGLNEEEMEKGNYMMMAKGDDTVL >u138371 FMADISEFDSSQEEKAVLASAIMLKSIGISTKVIDFYTEQRKKWVMINKTSTSFETLSTV LAGNWKQHSGQPFTLDGNTLYNMSLIGICYDFKNIAFASFKGDDSYI >u138530 LEDDLEKQDRQTDKPTIEVELELYRLVGMPDYLVKVWERVHEKWRLKGKFSQLWCQYMRL TGQASTSIGNLINNMTCHAHWVSQNLDRIQLILMMGDDFTA >u138629 QANDMSKFDKQQTEDHLNVEKAIYKWFGVDPEFLEFYYDFHFNWILSSAQTQMYLNAMRI SGEPTTALGNAIVNLVIHSKLVVNNISKLTWLLVVGDDIII >u138904 LGADFSEFDSSQEMQGILAGLMFKRMCNVPENICQLYMEQRRKWMLLATDKNNVTHMMMR AILHGFWKQHSGQPETLDGNTTFNMMAMGACYNVEQLAFASFKGDDSEI >u139213 VCGDDSVVARWFNGKLTFKEGDARMFDQSQSFGPLCAEYQALQHFGVPREITGRLGEVAA NTYVVRPYRKDRDQAVFQLGRKSRPMRDTGGADTYIGNTLVM >u139985 LENDYSKFDKSQSELCVRLEMFQNEQLGMDLDLLANWFQGHERSRIRCIQHALVLMISWQ RRSGGGNTSYGNVTLNILSTAYVYRHSEVACGVYIGDDSLL >u139994 FECDLEQQDTQTDSEMIKVEQGLYELVGMDKEVSKIWFLVHEDWMLRSSLISHKNRSKRL TGQATTSLGCFINNIKTLSSVFQKSKHIINFLIFLGDDNVA >u141152 AEVDMSKYDKSQPQLSLELECRLFARMGMPAKLVQYWRLFHLNVRLSDRHTGLTFSTGPQ RRSGDPATYLGNTFYNMIAVDALQDLRTIRLAMFSGDDSLL >u141218 FTCDFTAYDQSCTGNTLSFELCLCRWAGVPEIVLDAYFRQKTTMYTQFGPSAIMRFTGEG PTYDFNTYYNVAYMSLRYDAGDMARCFSGDDSLL >u141324 FTCDFTAYDQSCTSGVLGFELAFMDYCGIPQELMALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKVARAFAGDDSLF >u141383 GTTDVKEMDSIQDLFTQEIERCMLRDLGEDEAFCNEYYSYRVNYPIMCRGVFTAKGQGEK TSGEPGTLLFNSVLAAVFTNFILIGVGIAILLFKGDDVIK >u142823 VAGDDSVVYSLGKWFRADASAFDKSQSFGPLYFQRNMLVDLGMPRDIADLLNAVSAWPYF YRDHSGCLLITRKQRPMRDTGGPDTSLGNTIVM >u143741 FEGDISQFDKSQTELALAIEMAVYRKLGLDPEWALRWESAMFETRNVCHAAGITIYLMHQ RKSGSVTTSIGNTIVNMVANAYPDTLQIDNVKAALFLGDDSLV >u143851 TTNDYTAFDQSQTGEALALELSILRLFNVPEHVIEFYLTLKMQLTCAFGELAVMRFTGEG PTLKFNSDFNAALLGCQYDFDYSHAVAVAGDDSAI >u143897 IENDFAKYDKSQLEMVYWFEYFLYRALGMDPYLLEIYMNAHRRSKYFDSKHGLSATIEFQ RRSGGSTTWLGNTLFALGILLCVYDIDEIVLLLAGGDDSFI >u144223 YEDDFSSYDATQGEGAHECEMALYKLFMPDHAVYNALERQKLTEGYGKYHKYTCPYTRKS GDQNTSIGNTFINFSVHCWALDQLNVSDFYMLALGDDNLL >u144422 VAGDDSLVAINRGDGVWFEEMDASMFDQSQSTGPLQAEYVILKRLGVPVYVTRMLWRLAH ARYVACGKYVKIKIDRARRPMRDTGGADTTLGNTITM >u144474 GYTDASEFDSRQNVVTQYLEYDFFRRMGVPEFFLKDYYSKRSNAKMIAHGIFKVQMGYEK SSGEPGTLLTNSLVAKVTAFYQMEGTGPFLMGYKGDDTFK >u144513 IENDWTEFDSSQNNLEHALFIECMRNLGCPEQVVRFFLEMMQLRFVSSGDHAVLVQDKKD SGRVDTLVGNTLFNAAVVLSLIEYKDVELAAFKGDDSVI >u144652 VDNDFTEYDASQNSSTIEFETLILEDLGVVTEVIELYRERRSKWKTYYPGYASLEGRDKK HSGESFTIDFNTSLNMAICGYIYEFDLLVVAQFKGDDSNI >u144655 YSSDLKQQDRQTDHPLLDIENAIEIEFGLDPALAKLWRSVHYAWKARGVHIGGKFDAMRL SGQATTALGNGITNLIVNWRRCSGFGSTLVYYLFLGDDTNC >u144766 LCADFSEFDSSQERRGIMSSLIMLSMCGYNQKILQFYLDKRTSWTLFSRSEHCEMPIKLF LDGHDMQHSGQPFTLDGNTLFNMSSIGMCYKFDDLAVAAFKGDDSFI >u144778 CANDFTEFDSCQNNVSLEFECYLLRKTGIPEFCVQLFKEQRSKWSITSPGNVQLNGMWKK HSGAPDTLSFNCYFNMSVMGYVCEWDELVFAAFKGDDSLL >u144905 LMIDFTEFDTSQESKSVISSCILMKSLGFNNNVVDFYMSRRRSWTMMTQAELNHERVVAM LDGEWNQHSGQPFTLDGNTLFNMCAVGMCYDMKGMILSAFKGDDSLI >u145726 MLNDFSEFDSSQGGESVGLEINVFNHFSIPPRLIAFYRWWKLHIRSNVVGEKKTSRDTGE PNTFDGNTWYAAAITFLKYGWRTAYKAVWVFGGDDMAA >u145883 TCNDFSEWDASFRTPFVKLTSWLLIASGCPRPLVNTYEKFRESWTMQYRTIWGFASLDGF EKQFSGNPFTICENTIGNMALCFSLFEYKDFQFAYFKGDDSAV >u146196 ACNDFSEWDASFRTPFAQLTHTLICYMGCPPELADYFLLYREKWTMTFRHAYGITKLVGR EKQFSGNPFTICENTIGNMALCFAIFDFRGYQMCLFKGDDSAV >u146554 GTNDYSAFDQSQTGEALSLEVVKMRVFNIPEHIIHYYEELKLTLTCQFGSLAVMRFTGEG PTLLFNSDFNTALIGCQYEMPPDTPLMVAGDDSAI >u146617 GVTDFEMYDSQQDEFSQEIEKEILKLLGVDQSFLDHYFSFRKGGKLLASGISGRLGTEKT SGEPMTLLGNSVISMVLANWILRGDGPFVMAVKGDDGFK >u146936 KTNDYSAYDQSQTGEALAFESVKCRAFGIPDIVLEYYLELKLRLTCQFGELAVMRFTGEG PTLLFNSDFNAALVGCQYQFGPDMAIAIAGDDLAI >u147151 IECDESRYDAHQGEGAYTNQMNVYKKFGIDEYNQAAKSMESMIRIKGYSQKGVAYRVPYT MTSGSATTSVGNTINNAATLTFAITSIMPKLKYKMIVHGDDSLV >u147152 FENDFEKFDKSQMIAAFCTEMNFFWILGLDALLLALWAAGATITEAANLLLAIKILLYFQ RKTGTVTTSFGNLWINMASAAWVYKLGDVLFFAVYFVGDDSWL >u148158 LENDYSKFDSTQTSPALKCIIMFLELCGMPKDLAGRMLLDTEAMTVRGPYKLKYVARGFR ASGRSETLIGNTILNIVVTYHIFGKDCVGFIVKGDDSII >u148450 MEDDLEAQDRQTPVDIIDVEMYLLKYFGVNQALVNLWRVTHENWRFKGRFSSGTRNAMRW TGQVTTALGNYIVNMLVRANWVLRNASYITFTLKLGDDFLA >u148525 VDNDFTEYDASQNSSTIEFETLILEDLGVVSEVIELYRERRSKWKTYYQSYASFEGFDKK HSGEPFTIDFNTSLNMAICGYIYDFDDLVVAQFKGDDSNI >u148634 TMNDWSAWDSGIDGAFLSFDMYVLRWLGLPADYLRFFVAMRIGSFNFLGNVKLMQLSGDR YTFLLNTLRNLCLCAAIFLLTLAHYLMVAGDDVLL >u149151 LEVDFSKFDKSQERMILMIVLALFRRFNIPEEFIENWDKCHQLTKLIFHIIGIMLIASHQ RRSGDVGTFILNTVVAMVAMSMSYCLLLAIGGIFGGDDMII >u149426 VENDFTEYDSSQSELTIYFESDILLLACHNPELVELYKEHRTNWSTSTPGLVHMRGYAKK HSGEPFTIDFNTILNIAICGAIYDIDDLCCALFKGDDSLI >u149466 LEIDESKFDKSQLEFIFAIEQMFWEMFGLNSESAQIWAEGHSSTTLRSWLHGFTVQILFQ RKSGDVTTCFGNTIINMMALADCFELTDAAALYFVGDESFL >u149839 EMCDIEGFDSSIRGADITLEKSFMLHFNVPLDHISAYVEDKLDFHTRTIHFGIMRFSGEI FTWLFNSVHTLARECLKFDHVPGDSIAVSGDDVLK >u149916 FENDVSAWDASMHELLGELEVWLAQKMGARPAVIQLMHANIDTHGVTNSGIKYSVKGTRK SGDPYTSCFNSVINGLMHLFCIFKGGVPVESLQSVVRMLVQGDDNAM >u149992 LEIDQEKFDKSQTRECFEVEMYFLERLGLDKELLAIWGDGHESSTAINFANGIKCYFVYQ RKTGDAMTCFGNTLISMAAMATVFDLKGSEASYFVGDDSFI >u149996 TANDYTAFDASQGYDSVLLECHVMRLAGLPDALVDRYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLSCLALFGGDDSAI >u150066 LEMDISKFDKSQNDYILEVQMEILRQLGFQEEVLKLYEKYHSFNKLNFRSFGVILDVAYQ RRSGDVFTFIGNTLVTMFTTLTSMDMNDVYGGIFCGDDNIM >u150100 TVNDFTKFRATQGGDSLQMDLQWFQWAGMSDASVELYRRIKLSLQALGGTKKTCRDDGEP GTYLFNCFYDLGITAERFGVEALWRDFWLIGGDDEAA >u150245 VSGDDSMAVKRRGWQRKGQAFLRFGEGDFSAYDQSQRAHCLTAHAVWMTALGLPKLLIDL ILWVCSMPYRARGKRVKVKGKAGCQLATGIDWTTVINSMSN >u150546 LEIDFSKFDKSXEEDLLLAXCYLMERFGIPRDIILSWFKCHIYTILNFXXVGLKFSVAFX RKSGDVFTFIGNTIVSMLILCNTYEIXDIIGGIFAGDDSLX >u150571 GVTDGTEFDSMQNRFTQEIERRHCAHLQVPQVVIDAYYEYRNDYNMIQQGLFRATAGSEK TSGEPGTLLFNSMLGGSICNYVLRGIGPSTLCVQGDDAKK >u150843 LEIDFGKYDKSQDDVMLEFQCRVFERFGMEPWLIDAWRYFHELCILTAPKYGVSYAVGYQ RRSGDALTWVGNTMVLVAAIAYLYPIERAHMVVVGGDDNLA >u151036 FTNDFTAYDQSCTGEAIWFIIKPLQWRGYPDEFVQLFFRLKTDLSTSFGHSAVMMFTGEP GTYIINSLYNLAYMSMKYELKGMTLAVSGDDSIF >u151172 VEIDFSKFDKSXDEVSLLILTEIFDCFGISSEFMSMWTKSHISNKLIFAKLGIWIYTQFQ RRSGDVCTFIGNTIVTMASLAYVYPMEHCLGAGMGGDDSYM >u151381 TACDYTGWDTGVDEAFSVLYRDVMCSFGVPRRVADAFFDTRHERRSFLGPMPAMQASGDR YTWLCNTIGNMAVTCANFDFPSSTPACFSGDDMIL >u151474 SANDYTQFDQSQGAEALHFEILRMKWYNIPSLFIDLYRWQKLHLHHQLWTSAIMRFTGEP GTYKFNTDFGEAYYYLQYDLKPSDPIVHSGDDTLC >u151535 IESDAKNNDGSQSKEFRKYEAMFYRKLGAPDWFVREFARTLKIRVWTRYGICAEVVGERW SGETTTTTGNSYVHMALIQAAHELAGIKESTNIHGGDDYLG >u151610 TACDYTGWDTGVDESFSLLYKEVFIALGVPAHVAAELVVNRHSRRPFLGDFPAMQASGDR YTWLCNTIGNMALTSLSFDVPAGTPACFSGDDMLL >u151939 MELDISKYDKSQDSVMLDAQCLLFKEFGLTPTIIELWRQFHELCQLTAPGYGVTYRVGYQ RRSGDSLTWVGNTIVLIMLLAYLYPIEKAYLVLVGGDDNSC >u152157 SCNDFSEWDASFRKPFSVLTSRLLQYMGMPDELNDWFLRCREEWTMVYRSAGGITKLHGK EKQFSGNPFTICENTLGNMALCFALFDYGQFDFAAFKGDDSIV >u152625 GENDYEAFDATQHVSCRMLIIEMLVEHFGMAPDVARYMRAAAKEKFGHTLNGTFVSMEGT MASGHPDTYLTNTMMNVLLQWYASACCGVFKPPIAAAGDDSVI >u153012 TENDFTAYDQSQRGVVLGFELLVLRFYGIPEPLIELYLAMKLYLRRTRVPFAEAELGTMR FSGEPATWSFNSRFNLVVSHTKFDLRGLPVLISGDDFLC >u153162 LVADFGEFDSSQEMQGILAGAMFMRLCNVPTHIIEMYLSQRQHWVMVACDKWDGNGVMRA ILEGAWKQHSGQPDTLNGNTTFNMMAMGACYKYVETQFASFKGDDSII >u153292 ICTDLKKQDRQTDLELLEVEMNIFLLFGVAPHVVKLWSMMHYNWRWLARQCVGWRHMFRH TGSVTTALGNLITDLQCNTVTMEMLDGEFNFAILLGDDNTI >u153455 FEDDLEMQDCRTEHNLLYLEKKIYQLMNVDDNILNMWFTTHDIWRVKGKTIRAVNKLMRL TGQATTALGNAVVNLIVHLEIVINSPKLNLYLFLGDDALL >u153847 FGDDYQMWDGGQGAEFIMAQVLLMRALGVPEFWINLYILWMTALDALGKILGLSLFSGFQ PTWTFNTFDDLCFQALKHALTPHVPKSSFNLSITPPGAAHVARAVSGDDCTH >u154303 LELDIGKFDKSQDETMLDAQCALFRIFGMEEDLIELWRAYHELCKLVSPKWGAHFWVSYQ RRSGDPLTWFGNTLVLMMILAYLYDLEKAYLVLVGGDDNFC >u154448 VSGDDSLVYISLNGERYCFEGDASMYDQSQSVGPLTVGWRAYKRLGVDSETIKLLRALAY NKYVVEGRDRSNLPTFYTIDKRRRPMRDTGGADTSLGNSVLM >u154487 VENDFSSFDSTEGRRALLMVYRFYNMCGVPKEITDLMERDLDDTKISTSVGITFNCKGFR FSGRSDTLLGNTVLNVIIMYHVFKSSLQKMIVKGDDSVI >u154663 VSGDDSLVVVWDVYSNIPNCIENDFSQFDRSQGVHALEAQHKVMRAAGCSHEEEQLFAQM YNEPVLVQDRTSQTEFVFPIPVQRRTGGPDTTLGNTLNN >u154681 TQIDISKQDTSHTLLTLLVFCHLLRHFGVPAELVDIYLVHSHKFRFKSLIPGLYAGEATD NLGSGDPFTLIRNIFQVATKIVAAFVIQESKDACWIIKGDDVET >u154696 YYSDLKKQDRQTDQTMLEVEMNIFLLLGVHPSIVKLWSAMHFNWRWLARQSHGYRHMMRH TGAVTTSFGNFLTDMQVNTELLIELHSNFNGVIMLGDDNLL >u155190 TENDYTAWDSSIDGPFVKFDLWLLRQIGVPEEYLATWAEERCSTTCFMGNLRLMQHSGDR YTFLLNTVRNLAITNAQYAGMAGRPQAYGGDDSLV >u155295 VENDFTEYDSYQNALTIEFESDILLLACHNQELVNLYKEHRTHWKTLQPGVLTMHGYAKK HSGEPFTLDFNTILNIAICGCIYDIDDLACAAFKGDDSFI >u156249 VENDFSKYDKSQQWTCLRMEWEVYALLGMDPEMLADWRAGHVECNASSISAGVKIFSLLQ RRSGDATTALGNTIVNMLTVAATYSLRGYHYAMFLGDDSVV >u156259 LSDDLSKNDLTTDKPQLNIEMLMYKYLGGEPELIDLWATCHRHWTYLGANGLMGKSDLKR LTGQATTALGNFIVNMNCHKEWWLDLTVKAKLTLALGDDNTT >u157159 MCADFSEFDSSQEKQGIMSSLLILRSCGINQDVLDYYLSMRQHWYMSCRGNGELETFNVS MNVMWKQCSGQPFTLSGNTLFNMSAIGMCYNIQDMAFASFKGDDSFI >u157450 TKNDFKQFDQSQRGEAVCAEVLHLDYWGIPVHLVDLYERQKVSLKHQFGTSAIMRFTGEP GTYKFNSFFSEGLCGLQYQFTPGYPRAHSGDDTLF >u157660 IELDLSKQDRQTDNDILELETYMVYALTGNRNLSNYLDEARTGFTVKTQSKHLFHRPGMR WTGGEITALGNNIRNWLCIGDIARHYDVAYVITLGDDSLI >u157840 LEDDIGKFDASVCEDWCKLEVWMARAFGAPRAVLDLMRANINTHGYTSQGFKYSVPGTRK SGDPYTSLFNSVLNGLMHLFIFCEHFGVTVEQARHLLRMLVQGDDNLI >u157850 FSTDAKKFDRQXNHWLLDFEYMIYDILGMDVKVQQLLRNSHNNWKWSSGEMXGIMDSMRL TGQSTTALGNLIVNMCIHSIFLNKNXXITTFVIMLGDDNVI >u158136 LEDDISAYDASICEELCKLEVWMSKRFGLRGVGLQLMHANIKTHGWTTHGIKYSCVGTRK SGDPFTSLYNSILNGLMHLYIFCKARHLEVHVALGLIKMVVMGDDNLL >u158556 CITDGQMFDANQDEFTQMLERETYIRLGASAAWVEWYMSHRRDYPLITPYAYGVAGYEKT SGEPFTLLGNTIVAACMSNYLYRGHGPAILAVKGDDGWK >u158707 FENDFEKFDKSQLEECFSAEMKLYEILGLHWLLHALWAFGLIKTEARNFILGILIYLMFQ RKTGTVTTSFGNLIINMIATAVAYNLLEVGFEAVYYVGDDSYL >u159528 TYTDYTGWDTGVNESFSLFYAKVMMEYGIPHAIAKKFIHDRHSRQSFMGHMPAMQASGDR YTWLNNTIGNMGLTGISFSGLDGLAVCFSGDDMII >u159582 LENDFSKFDKSQEYIALMVEYEVYRRLGFDELLLEAWKDGHFDTRLTDYNAGFRAFISFQ RKSGEATTLLGNTIVQMVAIAYAYKDLNFDMAAFVGDDSAI >u159598 TETDYTAWDSGIDAPFFKFDAWLMTQVGIPQWYIDVYLEEACTTTSFRGNLGLSQKSGNR YTFLFNSLRNLALTNHTYSNLRRVPQAYGGDDSLI >u159708 YDNDLSKQDRQTTPELLEIEHYLYSKLGVADEFISVYIKCFDNWRFKSKFGLGMLNAMRL TGQASTAIGNMVVNMITSWRTVLKCKARLTLLCGDDHLS >u159784 FTCDFTQYDQSCTEETLSFELCLMDWAGIPDDLISLYRWIKLNMRTQFGYTAVMRFTGEF GTYDFNTFWNMAYMCIRYDIPSDMACCYSGDDSLF >u159811 FTCDFTAYDQSCTEETLSFELAFMAYCKIPQSLIDLYSWIKLNMRTQFGFTAVMRFTGEF GTYDFNTFWNMAYMELRYAPSSSIPACYSGDDSLF >u159836 VDNDFTEYDASQNSSTIEFETLILEDLGVVTEMIELYQERRSKWKTYYPGYASLEGRDKK HSGESFTIDFNTSLNMAICGYIYEFDLLVVAQFKGDDSNI >u159867 VESDMKNNDGTQPAECRKYEAMFYKKLGAPDWFVREFAKNTQVRVWTRFGISARINGQRW SGESTTTTGNSYVSMCIMLAALDSAGVQRSLNVHGGDDYLG >u160017 YGSDVTRWDVGCDAAMVNFDVHVMRSLCFPTWYIDAYIERRVSSFSQHGPMKTMQNSGDR YTWILNSIRRAVVTSLVCAITPADTAAINGDDAAV >u160459 MEIDFSKFDKSQESFCLEIQLHILKFLYMPEHIINLWWNCHRTNKLVFNNGITLITHNQR RSGDIFTFMGNTIINMAALNFVYNLKNSYGGCFAGDDSLI >u160593 VAGDDSLCYYRGFGYEGDASSFDQCQSFGPLEYEARALRRLGLPEWADDILRNVHSATCV NDERAGFKIKRDNRPFRNSGAPDTTIGNSIVM >u160903 TENDYERYDQSQGAECLWFEVYLMRHLNIPEDFIEFYIFLKLNAETQFGLLDIMRLTGEW ATFLFNTFVNMAYTFLKYKDFRRKIEDRPAAAFGGDDMVV >u161278 VDNDFTEYDASQNSSTIEFETLILEDLGVVSEVIELYQERRSRWKTYYPGYASFEGVEKK HSGEPFTIDFNTSLNMAICGYIYDFDDLVVAQFKGDDSNI >u161413 QEIDFSKFDKCQEEFILSLTSEVLRRFRFPEYIIREWEDCHRVNKLIFHKQGVSLQVRYQ RRSGDIFTFIGNTLVAMIVMSYAYDLKSCIGGLFGGDDSLI >u162029 VSGDDSLIVLKKSGSYLLYEADASMFDQSQSEGPLFSEYAVLRQLGVPNEITEVLYHCAT APYYYYSKMKGKMRVNHKHRPMRPTGGADTSLGNSIVM >u162184 TATDYVAWDGGCDGKFLGLDVKIMRHVGLSEEFIDAYIDRKLHTRYFGGPLPIMQFSGDR WTWLLNTLRNIALTHVKYDIPPGTPQAYSGDDMIV >u162242 FTNDFTAFDQSCTGESVWAIIKLLRWRHYPEWFINLFFQIKVDLETSFGHSAVMMYTGEP GTYIINCLINVMYMASKYDLRSVTFAVSGDDSIF >u162432 TCDDFESYDQSQDGTCVNLEIFLFDWLKIPRDLLNLYLHVKCHALTFVGFLELMRLTGEW ATFLFNTLNNIAYHHTDKKIKDGTPQMYGGDDLTI >u162752 TEVDYAKFDKSQGEVCHKVENKIFSLLGFDATMHELWKHGHLFSRVTDYLTGVRLFLYYQ RRSGDATTCFGNTLIAMSSLAYCLELEGKIQAAYFIGDDSSI >u163182 FENDLHRQDRQTEEDLLYLEMLIYIYVLGVPYKIISAWYIIHKYWRYHTSDIKGDFSGMR LSGQASTALGNFLVNLLITSNIMYKQPTNLVCMLGLGDDNLM >u163228 LSLDIKGFDGTQRGAALELERQWMTCFNVPEELMDAYVHDKLDAHTKTIHLGLMRLSGEI FTFFFNTVFMSARTVTKYRIEPGDPMASSGDDIEL >u163237 GVTDYAKFDAQQGHFTKLLERFALFDLGATHEFLDHYYSFRKDYKIKSKEVSCTGADEKT SGEPGTLFLNTLINAIIGDYVLEGIGPCVIVFKGDDGFK >u163442 ITSDGTRYEQGFSRGSGEMGTAVWNTIINLFMIFYAKYMEATDFDVSWSFLQSSAIAGGD DSVV >u163499 TINDFSDFDSTQKGESVWLEVSVMRCFGVPTELIDSYVWWKLHVVSDKIGVKATSRDTGE GGTFDGNTWYSTANTALKYGVAALWIGLWLFGGDDMAT >u163625 TVNDYSAFDSTQGGESVQMELAWLRWAGAPGEVVDMYSWWKTHIFNSVVGEKKTSRDTGD PGTFLFNTLYSIGNTALKYGTACFETTTFLFGGDDMAA >u163665 LEGDWTEFDSSQNNVEHELLMMQLEAIGCPAELRDLFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDHVLFKGDDSLS >u163732 LELDFSKFDKSQHRAFKLFELKIYEFMGVEPEILAIWFQGEMHAIGTTNDKSISYDFGVQ RRTGSANTWLGNTLVTSGILSYYMHEKNALFLVSGDDSLL >u163736 ISGDDSLVVVRFQGLTTCYEGDAEMYDQSQSFGPLNFEREVLRVFGVKDSAVRLFRTLAE NEYLVMSRDRESKLLIDKSERALRDTGGANTSFGNGVIM >u163853 YSNDYTSFDQSQTGEVLASELLYMWHAGIPESIISMYEENKVDMVCAFGHLQTMRFSGEP ATYAFNCRCNLAVLNLQFPLDQNGDVPIFVSGDDGGL >u164528 FTADFSEFDSAQEQKGIMSSIVVLKSLGFNNDMLDFYLNMRSSWTLASNTKDSCGSYIFY LNNSWMQHSGQPFTLDGNTLFNMSSIGACYELKDLICASFKGDDSII >u165253 IQVDISEYDKSQESRTRALEDLIFTELGMSASMMDNWSHSHKDTVIRCLALGIKLSVAYQ RKSGDATTALGNVMLNMMATAYAFACPVVSISQGDDGLV >u165281 LVADFSEFDSSQEMQGILAGAMFMRLCNVPYHIVDMYLKQRQHWVMVACDKSDGGGVMRA VLEGAWKQHSGQPDTLNGNTTFNMMAMGACYVYTDIQFASFKGDDSII >u165410 FTSDMTGFDAGQDENPLAMELLVMEFFNVPQDLRDFYERTKLDTTLGRHVLAIARDSGEL FTWLFNTLHTIARRYLKWVIPKGAIAMFGGDDENL >u165418 TMFDSSQGNVEHELTRLSLNKIGCPHILTQLFVAVVYNRKITGKIASLNVRNKKDSGRID TLLSNSQFNAAVIIFMIDWERSYLDHLFIKGDDSLL >u165425 VSGDDALAVGEMNGTHYVIEGDASMYDQSQSIGPLSMGWRVCKKLGADDETIDLLSTLSY NTYTVEPRQREDASFFKINKRDRPLRDTGGADTSVGNSIVI >u165738 AIVDAEKFDSQQNEVTVYAEKLFFEKLGANVSSLEEYYKIRQKGIPWSLLGRIYGEMNGE KGSGFPDTKIGNTVLSGILANQQYVGKGVKVEAGKGDDWLR >u166125 FDSDLEKQDRQTTHSLIDIEFGVDENVLSLWRQVHNHWRLKGRFVRGKRDAMRQSGMATT AIGNACVNLIVNNDIGLKRRREITCFMFLGDDSIM >u166157 IELDISKYDKSQGEAALIFECNVMKLLGVEERFVDHWQNFHKYALLTAKSEGLLEVKYSV NYQRKSGEANTFIGNTLLTLALLLYVYDYNEIYFLTVAGDDSVI >u166255 FEDDFSAYDASQGFGAHWVENHVFKRLGLDAAACEAFDRQVWSKGFGRWFTYTVPFTRKS GDQNTSLGNSIINALAHMWCMLQLGITDFKMIVMGDDNLL >u166438 LSTDFTEHDTSHSMVVKMWFCYDMIHFGFDKRLIAKYWNAYVHWSQHTTTDTPITVDNVF MQHSGSPDTIHGNTKLTMGANGACYVFDRLHFSSFKGDDTLI >u166458 FTNDYTSYDKNQKHATTRFEILMMKFFDVPEEEANFYLNLKHETVCYLGTLDHLRTSGEG PTFDFNTRMNIAYNHAKFNIPLDTTELYAGDHLAQ >u166546 FENDLHRQDRQTDIDLLYLEMLIYIYILGVPYKIVSAWYTIHRFWRFHTNEIKGSFEGMR LSGQASTALGNFLVNLLITSNILHKQPDNLVCMLGLGDDNLM >u166547 LEIDFSKFDKSQTEVCFEIEMAIWSLLGMDKFLHDLWKIGHFSVSATDFTAGIKAYFQYQ RKSGDSATAFGNSLISMASLAYAATFPSVEAAYFVGDDSLI >u166568 YGDDYTGFDGTQNEDFLAFHVQLMRFYGIPEPYIEDHAVWSTHLRCMLGPMAVVIPSGYK PTWLLNTMDSMAFQAIKFALTPGVARAFSGDDTLH >u166640 VCGDDSVVAYCGTDGKFLFMEGDASMFDQSESFGPLLSEYRVLEHLGVSKSHTTALYKTA RNSYRVRPKKPQSDQEFFLMSRQNRPMRDTGGADTYLGNTIVM >u166754 VTIDYTAYDQSCTHVTLCFEECLMGWCDIPIELQLVYIDIKLNMRTQFGPSAIMRFTGEA FTYDFNTYWNIAYSATRYQLSGHFICAFSGDDSLF >u166766 TTNDYTAFDQSQTGEALALEACKMRCFGIPDHVMAYYMDLKLNLTCQFGALAVMCFTGEG PTLHFNSDFNAALIGCQYLGVDKLPVAVAGDDCAI >u166867 TTNDFEAYDKSLRGEFINFNILLLNWFNIPQNLIDCFVELKTNAHTFLGILQLMTLTGEW ATYLLNTLDNIAFTHTKFNIEKKTPQCYSGDDLAV >u166871 AETDLAECDAGQDETTARFERKLMELFGVPEIAIDFLFFIRKTWVLSARDLAKVENHGKK HSGAPDTLDGNTIVSAGQIARVFKFTNLKLALFKGDDGCM >u166887 TTNDYTSFDKGQAGEVLGFELMRLAQADIPREIIDSYRSDKLSLTCQLGNLATLRFTGEA ATWKFNTDMNYAMIGLMYDVPPEMALMVSGDDSLI >u166955 TCNDYTKYDQSQNEQFLSFERKLMEFLNIPRELIDLYTTIKMNTQYFGGILDIMRITGEK FTFLFNTYANIAHTELKYSTNNLKLAEVYGGDDMAI >u167177 TCNDFSEWDASWRGCFTEFTCTLLRYMGCPKQLVEDYKRFRDDWIMTYMTAFGNVTLSGR EKQFSGNPFTICENTLGNMALCFSIFEVRDMQYAMFKGDDSVI >u167276 LAADVTEFDSVHSQVTKEVEKILMQKCELPQPIIDLYMHMRNKWKLSTYSVGYLHGEHKQ HSGQPATLFSNTFLAMMIMIIGLDEEEMGKGNYMMMAKGDDTVL >u167659 HESDATAFDQSQRGEALQLEKLVFWHYSIPDELVDMYIEDKLTFRCQMFTIATQRLTGEA FTWLFNTLFNIAYTYTRYDVTPEDPQAYGGDDQAI >u168009 TVNDFSAFGASQGGDSLKMDLLFFAWCGMPDSLMALYFKLKTQLIALSKVKKTCRDDGEP GTFLFNCLYDIGVCAMRFGWGAFWYGYWLIGGDDMAC >u168122 AIGDAEEFDSNQDYYTVAVEEENRRLLGASVEWAKVFYDTRGPSPLRAFGLFKGETKGEK GSGFLDTLLGNTTSAGTLADTRISGSGPAVKAVKGDDFLR >u168185 VENDYTQYDQSQREECLYFEVLLMKHFSVPEGLIDRYVFNKTHCKHKYGDAAIMRFSGEP GTYTFNTWVNIAVLCCKFRIDGYAFAVSGDDSLI >u168211 VSIDFSKFDSSQKREILEMLIIFYRHIYQGPQKEILMKYIKMCCGKKKSFSNTRDDDRMF IIEFDSTRGSGDSDTTCSNTLLAILLTHYICRDFRDDIWDYFWSFNAGDDILL >u168783 LQVDISRQDSSHTAALLYVFLMVLRDCGANEDDLQFYFKYCSQYKVRSRGSDAARMRISF NLGSGDPFTLIRNDVMEATVLACRFEHAAKALWVFKGDDTHS >u168979 TESDFTAFDQSQKGESVAFEALVMRHFSIPEEIIEAYEIDKTSYRCQFFEIAIQRLTGEA FTWLYNTMFNFVYTQIRYDISLDDPQMYGGDDMTV >u168989 TDVDFTEMDTSHGESIIKLEMLLFGIAQMPLFIRSMYENARTNWMMMYNNGNGVSKMWGM YCQHSGQPFTLGGNTILNMAAIGAFIDFGTVLYAAFKGDDSHI >u169359 FENDSSRQDRQTSEEAIAFEMSVYKLLGVPSELIDIWFTFHKNWKFKSSLLSGEYEWQRL SGLITTAIGNFIVHLLVNMKLILLYTTSFKMYIGVGDDSLM >u169776 LELDLEKQDKQTDHDILEFEFSMYEALGIDSELLSVWKTVHNKWKWEGGHMRNYADAMRL TGQATTALGNVITNIYVNASLMLKTNQRWEWMLMLGDDMIA >u169809 TCNDYTKYDQSQNEQFLSFERKLMEFLNIPRELIDLYTTIKMNTQYFGGILDIMRITGEK FTFLFNTYANIAHTELKYSTRTLKLAEVYGGDDMAI >u170085 AENDMEEYDTSQSEITIENECRWLKRMGCNDFFIWMYKMHRTEWRTTYIGYVSMMGFAKK HSGEPFTLDFNTLLCMCLNGLMFPLDKFIFASFKGDDSDI >u170941 AEADLEKQDRQTDDNVIKAELSVYHALGVADEVLATYQTLHETWRFKSKFSWGLHKSMRL SGQPTTASGNGLTTLQTTARNIAELGDDLSFFVFIGDDNTF >u171096 LQVDVSKQDSSHTAAFLYAFILVARDCGLPEDRLCFYLQYCRKYAFLSRGADACRGQLSY NLGSGDPFTLIRNDIMEMMVIAARYEAADKAILVEKGDDVHA >u171220 TTNDFTQFDCSQGAETLRREVHAMQLFSIPQWLIDLYVWQKLSLDHQFWTSAIIRFTGEP GTYRFNTDFSAAQLSLQYDPPEKTAMVISGDDILI >u171404 VELDMSSFDKSQQELAHLVKMAWYKLLGMPPYLLELWDRFHRVTFNRGISSGITFWTSYQ HKSGDASTAFGNTLMTMTALADIVAPQGFDSAFFIGDDVIV >u171409 IENDYTAYDQSQGAEALQMEIRLMHHYNIPQKFVDMYVQMKTHSFHQFGVSRIMRFSGEP STYAFNTLFNIAVAGAQYWILDRPFCVSGDDLLI >u171445 TASDYTGFDSTQKGDSLGLELRILLHCGLDLAWIDLMSQFLHIAQTLPEMYRWWKLHIES TVIGVKDTGRDTGEPGTYDFNTYFNLALIQLMYAPPKGTPIAVGGDDMVA >u171466 TTNDYTSFDQSQTGETLAFERSLLDFFNIPEWLKDWYTESKMDLVCQYGHLQTMRFTGEG PTWLFNTLFNFALIFCQYEMGVAQPVAVSGDDTAI >u171713 AENDMEEYDTSQNEITIENECRMLKRLGCNDLFVMLYKKHRIDWSTTYSGYCKFIGYAKK HSGEPFTLNFNTWLCMCLNGLMFPLDDFVYAGFKGDDSDI >u171784 CMGDDKLIFGMGDFTEFDSTQNELMPELCTAYVQLFTGMPDSILATYVNQLSAWVVTVEG VLKIKNQNQKHSGAAATLLFNTIWN >u172164 LEGDFTAFDQSEDAAFVDFERRIMEDCSFPEHIISDYLNLKASLSSRFGHLAVMRFTGEV WTFIYNTLANFAFTHLKYCIPPGTPQCYGGDDTVI >u172201 VEGDFSEFDSTQNELMPIICCEVLEMFTGIDPQLTATYKQHLAEWKVEIPSLMTIAGKNQ KHSGEAATLLFNTIWNAAWVSALFDTKDVVATCFKGDDSLI >u172465 LENDFKAYDKTQDNVALEIELSFLALLGVPLDLLEMWRSGHVYTRATCRETGFMLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFSKPEDARIKIRCAFFLGDDSLF >u172468 LENDFKAYDKTQDNVALEIELSFLALLGVPLELLEMWRSGHVYTRATCRETGFMLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFAKPEDARTKIRCAFFLGDDSLF >u172471 LECDLEQQDAQTDEFIINVEKEMYIELGMDPALADFWFLVHEDWYLRSRMIKYGSRSKRH TGQASTALGNLITNLLTMGRWHEQNQRAVCFGLFLGDDSVI >u172474 VENDMSMYDSQQTLEQHEIEAGVYKALGGDSGMIDFYMSFHEDWYMRNSTLLMRLSGGRV TGEAATALGNAVVNMIIHIGLIERYGQDLVFCLIVGDDIVL >u172478 YFNDYSRQDRQTLDDLLLAEMVVYNRLGLSKSITDIWYWFCHKLWRLKTNTSSAWLKFMR LSGQATTALGNTVVNLIMTARIVNISHTKLNWGIVMGDDSLF >u172491 FDCDLEQQDAQTDENIIAIEKELYIQFGMDREVADIWFLVHEDWAVRSSLNKLYNRAKRL TGQASTSLGCFLNNINTLARTFEREGDNVKWAMMLGDDNTG >u172627 IEYDLSAQDCQTTRELIDVEFKLYELLGLDYVTAQFYKNCHNMWRWKGKGIRGMMDAMRL TGQVTTALGNAIVNLIVYNRFTMRNANNISCTLILGDDYLC >u172880 LENDFSKFDASQNLFTQKFEQWLLESLFPGYSGVLEHYYSLRRSWYARNGYVSWHSKYIK TSGEPGTLFLNCVVTMLITSLTIKCSGVRFFAVKGDDSIL >u172985 QENDFSKYDKSEGENILPLEKLIYEELGMKLSRSDEWFDGQHMGVVKAVSFLFTIHLELQ RRSGQLTTLLGNTIICMMTVWYVYQVKRDNVNWSFFKGDDSIV >u173031 SENDYTAYDQSQNEEFLNFERNLMEYLNIPQKIIQFYVENKLSLRSFMGTHQVMRGTGEG PTFDFNTYCNIAYDSMKFRNKRIPSLYAGDDMAK >u173144 TETDFTLFDSSQNGRGVAFEELKMEYFRLPCADIDFYVELKLTSESFLGTLPVMRFSGDV NTLLGNSDFTIAVMNLRFRIGCRLRAGRNVLHCGDDFAA >u173260 GISDAEEFDAQQNESTVEVEKEFTRLQGAVSADIEQYYLVRGRLPARMFGFFSGTTNGAK GSGFLDTLLGNSKLSLCCSRRLFRGSGPKIEAVKGDDYLR >u173283 VMADFSEFDSSQERQGIMATCVILRKMGMPYGYIQEYYERRAKWVVACKTTTDSMKITGH FSQHSGQPFTLAGNTMFNMMVMGAVYVYKTVVCASFKGDDSFI >u173311 VENDFSKYDKSQQWATHVREWILYEMLGFNFDQSLQWRYGHIITVANSLTAGIKMFTLLQ RKSGDATTAIGNTIVNVIAVMKVYNIRPENMAFALFLGDDSVI >u173413 STCDYESYDKTQNEDFLQFQITLMEHLNIPKELIALAMAYKLSVNFNGKHLQVAIYSGEK WTFDFNTLDNIAFTYLKFGFRGPYPSTRPIELYGGDDNAL >u173668 TATDYTAWDTGCDESFLSFDCWLLDRVGLPQWYVSEYARGKVSTRCYAGHIPTMQFSGDR WTWLLNTYRNIAITSVRYKVRRGTPCAFSGDDMIM >u173674 AIVDARSFDSQQSQVTLEIERQFLKLLGAKMEVLERYYEFRKPMPYSCFGRFSGHTNGEK GSGFPDTLLGNTILQTCLATYALEGKGPMCVASKGDDHLR >u174113 MEGDYTAFDSTQDASFGTMEVLLMERLNLQSYAREYKAHKNTLVCMFGQLAVMRFTGEVF TWIFNTLGNIAYTHTKYNIPPNTPQMYAGDDKAI >u174287 YANDYTAYDQSQRGEVLASERMYFWQASIPEFIVDMYVTNKTEMYCSLGSLQTMRFSGEP PTYDFNGRCNLAVMNLQFPICENPDVAVFASGDDGGL >u174659 TTNDYAGFDATQRGDSLGMEMRAMRHWGLDCAWIALFAQYARMADTIPELYEWWKLARVS DVIGPQRTARDTGEPGTYDFNTWFNLGILGLMYDIQPDTAVAVGGDDSAI >u174760 TCNDFSEWDSCVRKAFYEFTCYLMKLMGAPDHIIDFYCRFRDEWTMKFDTQYGSAFLKGT EKQLSGNPFTICENTIWNMSLCFVIFEYKNLKFAAFKGDDSAV >u174847 FTCDFTAYDQSCTEETLSFELAFMEYCGVPTSLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRSLACAFSGDDSLF >u175093 VCGDDSLVVTNYFGQWMVFEGDASMFDQSESFGPLNFVNGIYLRLGVDLDVCLILQTLAS NSYIVRSRKEHHCLSINKKNRPLRDTGGADTSLGNSLVM >u175153 AENDFSKFEGCQTPELLKDTELKIFLALYPKCYHQEIKLLFKHKLQKKIFSREGMKADLI GCRGSGDMDTGLGNTIVNLIACKYNYKRNKISGDQIVDGDDGVL >u175194 VENDYTAYDQSQREECLYFERKVMRHFRVPDELIEQYVYQKVHCRHKYGDAAIMRFSGEP STYTFNTWVNVAVLHCKFDLNGMAYGVSGDDSII >u175196 TTSDYTAFDSSQKGDSLGLEYQLMLHFGLDWAWVELFGMFSEGLHHIPELYLFWKTHLES TVIGPKATGRDTGEPGTYDFNTYFNLALIQLMYEPLTGTPIAVGGDDMAA >u175416 KNTDVNEFDSSNTDAQAEYDALNLERCRVPEVLIQMYKAQRHVWKLNCPDTIMVEGEQKQ HSGQPFTLIFNTATNMSWIGAMYDWDTIIAGGFKGDDSTL >u175827 SAFDKSQQEASHFIKLHFYRMLGMPEALLRVWDYGHRAAICQARGCGVAFQMPFQHKSGD ASTAIGNTIVNMASMAVVFEPRCFDYAAFLGDDNFL >u175994 CMGDDKLIFGMGDFTEFDSTQNELMPELCTAYVQLFTGMPDSILATYVNQLSAWVVTVEG VLKIKNQNQKHSGEAATLLFNTIWN >u176211 VGADFSEFDSSQEMQGILAGLMFYRLCGVPEEICQLYLQQRAKWALIAADKNTVSSMMMR AILYGLWKQHSGQPATLDGNTTFNMMAMGACYEFIGLVFASFKGDDSDA >u176306 LEVDFSKFDKSQQRFCLETELYFMRKLGIHPALVDLWREIHTITSATCHANGIRARFLYQ RKTGDSYTCMGNTIISMHALAATFDLSDMICASFVGDDSLL >u176453 LMADIQEFDSSQNSKALIATVLIMRALGMNEKIIRYYYKRRAEWIMHVKDNTSIVDIFAV LEGIFNQHSGQPFTLGGNTQYNMMIIGMCYRSEGLKCEAFKGDDSFI >u176492 IEVDISKFDKSLLMWAFWYLRLLMIQFGVPEWIADLYYSVHLLTTMVDVQTGVKLETFCQ MKSGDPITFPGNSFITLGTLLYCLSDINDIHLMLFGGDDSLI >u176515 IANDLKKQDKQTDENILEVEKLLYKELGVSSEIVEAYMGFHEQWRWYNPKVKGMGKYQRQ SGQVTTALGNLITNYQVNSDFVYKNRHDIILSLFLGDDSLF >u176934 LEGDWTEFDSSQNNVEHELLMTQLEAIGCPAELRDLFMQMMLKRGVHCPFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETIDHVLFKGDDSLM >u176963 LEGDWTEFDSSQNNVEHELLMMQLEAIGCPEELRDLFMLMMLKRGVHSSFASLQVQSKKD SGRVDTLIGNTSFNAGVMLTLVDLETISHVLFKGDDSLM >u176968 CSGDDSIVAEFHPTHMVFWEGDASMFDSSQSKGPLKFQYLMMHCLGVDASITLSLYKVAH ATLVVRPKKNDYDFDILRVDRSQRPHRDTGGADTYIGNTLVM >u177068 ARGDWETMDACQNRFTQQIERRLLHLAGFSHAFIEHYYWYRSGYTIAAGAVFAKGDTEKT SGEPGTLLFNTMINGAIGLWLVRGEGPMAVVLKGDDSMK >u177240 SANDYTSWDSGCDEVFLTAFVVLLERLGVPAEYIDKLLVEETLLMAGSREFPIMQQSGNR WTWIRNTVWNAMLTGASLLVPRGTPAAFSGDDSAL >u178068 VESDFSKFESTQQMDLLVHIELGVWKRLLNLEEYHIVERLFWLKMVKQGHCTHGVKFCFL FCRGSGDMDTGLFNTIINWIATRYFEYVNGMFKGQFLVDGDDNVM >u178116 VACDISEQDTTKTEATHLVFRWLFEAIGVPSHTYDIVQQACIRWTGFGLDFSINNVETFQ SGINWTYLNNTVDSMARIGASFEVEGLRLAMFKGDDAYV >u178152 LELDIGKFDKSQDETMLDAQCRLFKVFGMDEWAVELWRAFHELCKLSAPTWGVRFNVGFQ RRSGDPLTWLGNTLVLLIIVCQLYEIDKAYMVLLAGDDNVC >u178471 MAGDDSLVFIYQSGRLAVIWEGDFSMYDQSQSWGPLFAEMAVLKALGVSEEARDLLLRSS LAKIVAKGKRGDKVAIRHLHRPMRVTGGADTTVGNTITG >u179034 VENDFTEYDSSQNALTIEFESDILLLACHNQELVNLYKEHRTHWKTLQPGVLTMHGYAKK HSGEPFTLDFNTILNIAICGCIYDIDDLACAAFKGDDSFI >u179493 TETDYTAFDQSQHAEYLHLQLNLMRHYEMPNHIIEFYFWLKTHSSCFLGVLNITLFTGED PTFLFNTITNIATQPVLFNFDPLAAQVYAGDDSAI >u179636 TINDFSAFDSTQGGESLNMEIAMARHFSIPEELIHYYALWKSRQRSARIGVKAIARDTGE PGTFFFNTCYNVAVNTLKYGKITQPALFGGDDMAV >u179658 LELDLSKFDKSQDLLCLLLDCKLMLLFGIDEFYVKFWYHIHVSTRLYNLRYSLVQYIPFQ RKSGDPSTYIGNTFITMCTVALYTDASQFDIALFSGDDSLC >u179866 TQIDISKQDTSHTLLTLLVFCHILRYFGVPENLIDIYRVHSHRFRFKSLVPGLYGGEVTD NLGSGDPFTLIRNIFQVATKIVAAFDLNEAKASYWIIKGDDVET >u180021 STNDYTAFDQSQTGEALSFELMMLRAFGIPDGVIAYYTELKLELTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPSDTAIAIAGDDLAM >u180073 AENDMKEYDTSQNEITIENEIKWLKRMGCNELFIKLFKKHRIEWKTNYPGYCQLIGYAKK HSGEPFTIDFNTLLCMALNGLLFPLEYFVFAAFKGDDSEI >u180321 IEVDLSAFDKSQQEICHLLKESWYRLLGMPEHLLALWSKYHRVTHNKGIQSGITFVSTYQ HKSGDASTAFGNSLVTLTSLADCVDLGDFSTLFFIGDDVVV >u180382 YENDLTKQDRQTRMFNIDCEYGMYKFLGCDEKILSVFKRTHDLWKFQYDAGSGICKEQRL TGQATTAIGNAINNLLAHWEFISSNWSTMEWMLFLGDDMLC >u181387 VAGDDSLVLSGHTWYESDFSAFDQSQSTGPLEFEMAVLRRLGVPREIRTLLLATAKQPYI AKDKQRHWSMVVNHPKRPMRVTGGADTTIGNSIIT >u181462 LELDIGKFDKSQDETMLDVQCKFFMLFGMEKWAVELWRVYHELCKLSSPTWGVRFNVGFQ RRSGDPLTWLGNTLVLLIILCQLYDLNKAHLVVLAGDDNLS >u181728 TINDFSAFDSTQGGESLNMEIAMARHFSVPEELIHYYALWKSRQRSARIGVKAIARDTGE PGTFFFNTCYNVAVNTLKYGKITQPALFGGDDMAV >u181843 LEVDFSKFDKSQQRFCLLTECFLMRKFGVAEELVRMWEIFHHASVATDYTAGIRARFIYQ RKTGDSYTCLGNTLMSMMALASVFQMEDLICASFIGDDSLL >u182030 CMIDIRKQDSSHTISHVLLQTMLMEYVGMPADLVELYFSMRSHYRVRSKGSKLYQGTVSF NLPSGDPFTLIANCVQALASIVTRYDIAGRSMIMKGDDFIC >u182055 SWNDFSAFDQGQDASFLAMEVRLMEQLSIPASEIAFYIHLKTHTFSNLGSFSIMRFTGEV FTFIFNTLANMAISNLRFVLDRSSKPLCFGGDDSCF >u182488 HCTDVSEWDTKFRKIFTQLTDTLIRALGCPDWLATWFTLFRSKWRMYFLTKDGRVWLEGS EKQFSGNPFTICENTLGNMALFYTIFDIQKETAALFKGDDSAV >u182708 FELDLSMCETTMRGPHLVLEGDVYRKLGVKKEDVDFLLTHKTSYGTSTKKNLKFTMPFCR ESGTANTTPGNTTVFAVELWASLISVGLTEHDFVALIGGDDSAL >u182783 VMIDIEKQDSSHSSVTLYTFYLFLVWFGVPEYVARCYLLLSSGYDVKSLNPRLYRAYVEF NLGSGDAFTLIRNIFQVLTTVVDRYEIEDDSIWIVKGDDVET >u182826 CVTDGKMFDANQDEFTQMLEREVYLRLGASKPWVEWYMSHRADYPLITPYAYGKATTEKT SGEPFTLLGNTIVAALMSNYIYRGVGQCMLAIKGDDGWK >u182985 AEGDFSEFDSTQNELMPEICVMVLQEFTGINSPLAHTYINHLKKWRVDIKGVGEIFGKHQ KHSGEAATLLFNTLWNAAWCSALFSVRGARVCAFKGDDSLI >u183619 LINDYTAFDQGQNAQALYLEIRLMKRFGIPASFVNEYFESKVSAYSWLGSLAIMRFTGEF GTFLFNSLFNMAYANLKYDLAGVVCLFGGDDSAY >u184413 TTNDFSAFDSTQQGDSVGLEWRVMRHFGLDEAWLQLFETYRGACATLPELYVQWKMTVES DLIGPKEVGRDTGEPGTYDFNCWFNAAVSHLKYAVPSGVAACIGGDDSAF >u184472 LNNDYTQFDRSERGDALMFEIYLMHHFCLPIELINKYYELKCSFELFTIDNRRIGNLCTL RLSGEPSTFHFNSYYNLAVILTAYKIKSTKHVVMIAGDDSNI >u184537 HCTDVSEWDTKFRKIFTQLTDTLITALGCPDWLATWFTLFRSKWRMYFLTKDGRVWLEGS EKQFSGNPFTICENTLGNMALFYTIFDIQKETAALFKGDDSAV >u185295 HESDAKAFDQSQRGESLCFEARLMRRFSIPTEIIDAYVRDKTTYRCQFMLIATQRLTGEA FTWLFNTLFNIAYTYVRYDIRPTDPQAYGGDDNTV >u185386 LESDFANNDGSQSVEFRRREAMFYAKHGAPAWFVREFARNTSVRVWTRYGIEPTVNGQRW SGETTTTTGNSYVGSVLLLACALLAGIEKSTHIHGGDDFMG >u185481 TANDYTGWDTGVDLAFHHFHAWLLRRVGLGHRVDAYFHQAFNARTHLGPFPIQMPSGSAW TWDFNTADDFALTGASTNFPVGTPIAVAGDDSAV >u185563 TANDYSAWDTSMDRVFLAFDCWLMEQYGLPPWYVDEYRFSRVMSRTFAGPYPIMQPSGDR WTLFLNSMRNLAVTGASVNFPAGTPIAVCGDDSVI >u185696 TENDYTAWDSGVDGPFVRFLAWLMEQLSFPASYIAEWKEEKAATRFFGGNLQLMQHSGDR YTYLANTVCNLALSNAVYGGLGRVGQVYGGDDSLI >u185729 FNSDFKEFDSHQSGGALSMEMLLMERFQIPQRYREMYLDLKLTMRGFVGEIAIMRFTGEF STYLFNTIYNIAYCHMSFLILPGTPQLYSGDDSCL >u185987 MMCDFTEFDSSQNEKAMIATVMMLKAMGLPSHILDHYLHRRKEWVLYVKNNTGVVDLTVY LDGIWNQHSGQPFTLGGNTQYNMSAIGMCYNFKDFQFAAFKGDDSVV >u186037 YENDMTQIDRQTNEGLIETEFEIYNMLGVNPAILLIWKDIHRHWIARGKTVTGQFDWMRL TGQATTALGNVIVNMICHRFFINRNYGLLRKAFFLGDDSLF >u186070 VENDFSEYDSSQNEATICWEASILSYFVVNPEIVQLYIEHRKQWRTNSPEIATFKGFVKK HSGEPFTIDFNTILNIAICGSIYDIDSMYFALFKGDDSLI >u186085 VDNDYTAFDQSQDATALFLEIELMRHFNVPSDMIELYYWLKTESRSWLGPFGIMRFTGEW STFLFNTLFSIAYSHTKYSFSPGMLQCYGGDDSSF >u186567 LEIDFSKFDKSQARMCHLFEMFFWEQLGMDQYLNGLWRAGHYTTSALDFSTGVKAFFLYQ RKSGDAATAFGNTLVAMASLARAADVSGFATAMIVGDDSLL >u186732 TASDYTGFDSTQKGDSLGLELRILLHCGLDLAWIDLMSQFLHIAQSLPEMYRWWKLHIES TVIGIKDTGRDTGEPGTYDFNTYFNLALIQLMYAPPKGTPIAVGGDDMVA >u186750 TTNDYTAFDQSQTGEALALEQIILKVFRVPEHVISYYINLKLELTCQFGELAVMRFTGEG PTLCFNSWMNDAIIGVQYVIERDTPTAVCGDDAAI >u186944 TENDYTAFDQSQKAEFVLFQVRIMEYFDIPSELIETFMKLKIEGHVDTGLLDFMILTGEW CTFLFNTLDNMAFTSLKYNVDPETPMAFGGDDSAI >u186998 LENDFSKFDKSQNAFAYKLFCFIMEKLGFTQELLDIWIDANTDCTLKSMQLGVLLVSHYQ NKSGGPATALMNGVLNMCAVAYCYNGTQVEWATFMGDDSLI >u187051 TCSDYTAFDTSQKGDSLGLEVLCMRQVGLGLASTELYADYHRLYGDEFTGILGLYTGWKV HVTSSVIGQKELGRDTGEPGTYDFNTIYNLALVELMYAPPPGTPIAVGGDDMAA >u187181 VGIDWSGFDSCQNNAEHALSTWVMAEAGVPSFLSELFQNFRFKWTMISRNKFSVRGTSKK HSGEPGTLIFNTIFNMCVCDSMMQVDGFVFAAFRGDDSIL >u187380 TINDYTQYDRSQRGETLAFEVQLMKFFSIPEGIIDFYVNLKCNIKTFIGTLRLLRNTGED GTFDFNTYMNIAYTETKFAPSEKNVAQIYGGDDMAI >u187403 TENDYEAYDQSQTEEALDFELRLMRYFNIPEELLEFYVFLKTNAITNLGQLSIMRLTGEW CTFLFNTYYNIAYTALKFYDYHGKPEDMPPSAFGGDDMVV >u187422 LENDFSKFDKSQDRFSYMLMQFIMTKLGFDDELLDRWIDANERCVLKLMALGILLVSRWQ NKSGGAATALMNVVVNVCATVTCYAGTDMVWAAFMGDDSIV >u187512 IELDISKYDKSQGEAALIFECNVMRLLGVEERFVDHWQNFHKYALLTAKSEGLLEVKYSV NYQRKSGEANTFIGNTLLTLALLLYVYDYNEIYFLTVAGDDSVI >u187745 LEGDFTAFDQSEDAAFVDFERRIMEDCSFPQHIIDDYLTLKASLSSRFGHLAVMRFTGEV WTFIFNTLANFSYTHLKYCIPPGTPQCYGGDDKVI >u187849 SENDYTAYDQSQNEEFLNFERNLMEYLNIPRKIIQFYVENKLSLRSFMGTHQVMRGTGEG PTFDFNTYCNIAYDSMKFRNKKLPSLYAGDDMAK >u187934 LEADVSKFDKSQEALCLMFFRTLAKRMGIHDQILDDWDSAHIHSKIVFPNLGIRANTMYQ RKSGDILTFIGNTIIVMMVTSLIVQKDEPEFYMFAGDDSLI >u187943 TESDFTAFDQSQKGESVAFEALVMRHFSIPEEIIEAYEYDKTHYRCQFFEIAIQRLTGEA FTWLYNTMFNFVYTHIRYEITLDDPQMYGGDDMTV >u187953 TTNDYTAFDQSQTGEALALEQIILQQFGIPDNVLEYYLSLKLNLTCQFGELAVMRFTGEG PTLKFNSDFNAAIVGCQYVFSPDTAIAVAGDDMAA >u187955 TLNDFESFDTTQGAEFANLHVAIMRLFNIPERVIQFYLDLKVNCYTFLGPQAVTLFTGEP PTFLFNTLTNLAFLATFYNIKGTTIIVAGDDSAI >u188050 VSGDDSLVAVRNGVDWDWYEADATMYDQSESIGPLLSEYRALRALGVTSDVVAILHQLAH ARYVVRGEGWSLNIDRTARPMRDTGGADTSMGNSIVM >u188077 YANDYTSFDQSQTGEVLDSELLYMWHAGIPESIVNVYRENKMNMSSFLGHLQTMRFSGEP ATYAFNCRCNLAVLNLQFPLDQRKNVAVMVSGDDGGL >u188128 AILDAEEFDSQQGPVTVYLERRFLEKLGFDAQDILDFQEVRRPERVVCPGQFKGRHNGEK GSGFLDTLSGNTTDILVLANGMFDGVGPKVVAAKGDDYLL >u188307 LTCDFSEFDSSQEKQGILSSCIILKSMGFNDNIINFYYHKRASWTLINHDSEHNMPYHTI LNGVFMQHSGQPFTLDGNTMFNMSCIGMCYEFVNLIFASFKGDDSYV >u188712 TDNDFERYDNSQDEGPLSFELNLMLCLNIDAELVELYKWLKLNAKCFLGNMAVARLTGEF STFLFNTYVNVAYTHLRYDIPANVARAFAGDDSSI >u188730 TYCDYSGWDTGVDESFTLAYASIMRSYGLSESVVERFIRDRHNRVSFLGPMPAMQASGDR YTWLNNTIGNMCLTGHSFKRVAGAPIAFSGDDMIA >u188809 IEVDFSKFDKSQLMIALHLECYFMTKLGVPPVFIQIWRQMHEVKWLRSLVTEFRAKVVLQ RNSGDAFTFTGNTCVSMFALIYILLLIFGKKTLKYILRFAAFAGDDSIL >u188817 VENDFSKFDKSQGWQSLYLVWGLYQLLGVNVPDLMRWVSGHQVTVACDLKVGLQVLLNLQ QKSGDVTTALGNSILNILTVADVYEFRDFLYAIFLGDDSIV >u188880 LEGDFTAFDQSEDSSFLRFEEQLLRDCGFPEQLITDYRNDKQQLRCRLGPLATMRFTGEV WTFIFNTLANVAYTHCKYDIPSSSAQMFGGDDKVI >u188957 VEIDHSKYDKSQQWTALRIEWFMYKKLGLDMDLCDVWKAGAVDCVMQSTQLGIKLWSILQ RRSGTATTALGNSMVTLFTLGASTDFPHGFYYVLFLGDDSLV >u189006 STCDFTEYYQSCTSSTLSFELLLLRWCGLPESLLAAYWEQKVSMRTQFGHSAIMRFTGEG PTYDFNTFFNIAYMALRYGLTSKDACCFSGDDSLV >u189080 MSIDLSQQDSSHINVHRFFIAKVLAFLGFDDTVVTLYLMSRARRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSSGTTACTFDFAKFILFVGKGDDNTT >u189132 QANDMSKFDKQQTEDHLNVERAIYEWFGVEPEFLNFYYDFHFNWILSSAQTQMYLNAMRI SGEPTTALGNAIVNLIIHSKLVVNNVSKLTWLLVVGDDIII >u189523 FEIDFSKFDKSQLALCYEFENQMYQLLGMDPYLDNIWKMGHRKTSAMDFQTGIKALLFYQ RKSGDAATAFGNTLVSMASIARSTDIRGYVCAYFVGDDSLI >u189933 LENDFAKFDKSQLEVVYWFEYYLFKSFGMDEDLLEIYLNANRTSRFYDAKHGVSANVNYQ RKSGGATTWLGNSLFTLCVLLCVYDIEDIIAMLVAGDDSFV >u189949 FENDFTQFDSGQDECFLSMERCLMEWAQFPPELIDEYVSLKLHMNCFLGPVGTMRTTGEA FTYLFNTLANIAYTHLRYQIPPGTAQAYSGDDSGL >u190132 CALPISAYDQSQRANVLAFEVLLLRYYNIPEFYLDLYVEMKLHLSRTGASFEEAELGTMR FSGEPATWAFNTRVNLAIAANKYFLLGRPIMLSGDDFLA >u190139 QEGDFTAYDQSQKHEFLVFDAWLFRHLGVPERLVNDYLWFMTNLYTHLGELGCMMPSGCK MTLIMNSMRTLAYLTLRYQVKPGTPLMVSGDDSAI >u190154 FTCDFTAYDQSCTEETLSFELAFMSYCGIPIDLIEIYKWIKLNMRTQFGFTAVMRFTGEF GTYDFNTFWNMAYMTLRYRFNPNMACCFSGDGSLF >u190214 GTCDYSAFDQSQDISVLLFELKVYEAMGVPRALLERFKRWKMNLICQYGSLEVMRFTGES GTILGNTLANMALSNLERDLAGLRGVHSPCAFIGDDSVF >u190286 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELIALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKVARAFAGDDSLF >u190470 VAGDDSLVGVWENGALRWYEADAGMFDQFESYGPLLSEYRALHKLGVPGRTTDLLFHLAH ASYRVAGREHQWHATIDRSHRPMRDTGGADTSIGNSIVM >u190852 VSTDWTEYDSTHNKVAALVFAEMLRKVGTPEWLIDYFMQRCGKRKLTSNSCTLTVNWMLD SGAVWTLAKNTLCSIGFLLATTMGVEYAFAKGDDSLL >u191019 LSNDFTEFDSAQNNVEKHLIRIILTEIGCPAHVINHYENLRSRRLVCGSAARFVLHDKRD SGEPFTLIGNTAFNAAVVLRLVLGDVRFAIFKGDDSYV >u191031 SEDDLSKQDKQTDQNLINCEFRVYQWLGADPSMLKMWRNVHNEWRGRGKHLTIYGDGMRL TGQATTSLGNAIINMLIHSQLVITLDSRLRVMLILGDDNLF >u191197 LTADFSEFDSSQEMQGILAGATYFRLCGVPEHVIDMYLDQRRRWLMVAVDKDDSTMMRAM LEGAWKQHSGQPDTLNGNTTFNMAAMGACYNVENLQFASFKGDDSII >u191586 LTADFSEFDSSQEMQGILAGATYFRMCGVPEHVIDMYLDQRRKWLMVAVDKDDSTMMRAM LEGAWKQHSGQPDTLNGNTTFNMAAMGACYDVENLQFASFKGDDSII >u191814 TINDFSGFGASQKGESLHMDLLWLRWAHLPDAFVSKYIKLKTALHVSHTEVKDICRDDGE PGTFWFNCLFNLGVCVIRFGPDCFSRGLVLIAGDDMAC >u191820 TYCDYSGWDTGVDESFTLAYAQIMRSYGLSDSVVERFIRDRHNRVSFLGPMPAMQASGDR YTWLNNTIGNMCLTGHSFKRVEGAPIAFSGDDMIA >u191953 YSNDYTSFDQSQTGEVLASELLYMWHAGIPENVISIYENNKIDMFCAFGHLQTMRFSGEP ATYAFNCRCNLAVLNLQFPLDVYSEVAVMVSGDDGGI >u192124 YEDDYTGFDGTQNEDFLAFQVLLMRAFSIPEDLIFDYTNWVTHLSCMVGPLGIMIASGFK PTWFFNTVDSMAYQALKHELTPHREGSPRIARAFSGDDTLH >u192127 TTNDYSEFDLSQRGEALSFEDHLLHHFSIPEDVIEYYLDLKVKLKCQYGDLAVLRHTGEG PTWAFNSFFNMAVCGLQYDMHANTPVAVSGDDLAI >u192151 VEIDIRKYDKSQGEEALLFETELLIKFGVPLFFADLWYKCHAGVKVTDPTTGFGAELDVM RLSGDGGTYKGNTYFLMAVIAYLYCQVKQPIRAGVFSGDDSNL >u192210 RTNDYTAFDQSQTGEALALEVKLCSAFGIPAEVLDYYLDLKLNLTCQFGDLAVMRFTGEG PTLLFNSVFNMALIGLQYELEVDTAIAVAGDDCAI >u192215 CTTDVAEMDAMQCIVTQXVEKEMLRHLGFDEGFIAYYYQFRSDYPMTGKGTFSCKGGTEK TSGEPGTLLFNTIVSAVFSYFVIDGKGAFCMLMKGDDNAR >u192383 VSGDDSVVITHNFGRPGMVIYEGDATMYDQSQSTGPLYYSREGQRSLGMDKETCKRLQKL SAAKYVAVSRDKQQPRRFIIYKDLRPMRDTGGSDTSLGNSTVM >u192388 VSGDDSLVVFQDEAGVHILEGDASMYDQSQSLGPLHTEYAVLSLLGVSQHYLEMLSTLSA NTYNVRTKELLHKGFINRQHRPMRDSGGTDTSLGNSVIM >u192847 IEVDISKFDKSLLMWAFWYLRLLMIQFGVPEWIADLYYSVHLLTTMVDVQTGVKLETFCQ MKSGDPITFPGNSFITLGTLLYCLSDIDDIRLMMFGGDDSLI >u192886 FTADFSEFDSAQEQKGIMSSVVVLKSLGFNNDMLDFYLNMRSSWTLASNTKDSYGSYIFY LNNSWMQHSGQPFTLDGNTLFNMSSIGACYELKDLICASFKGDDSII >u193126 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELQALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u193306 VGADFSEFDSSQEMQGILAGLMFYRLCGVPEEICQLYLQQRAKWALIAADKNAVSSMMMR AILYGLWKQHSGQPATLDGNTTFNMMAMGACYDFIGLVFASFKGDDSDA >u193329 TCNDFSEWDASFRTPFAELTRRLLEYMGCTKAMNDWFFANRKNWTMSFVKGSERTTLKGF EKQFSGNPFTICENTLGNMALCFAIFEFIDMDFALFKGDDSCV >u193553 MEIDFSKFDKSQEEIVLNSVCLLMLRLGVAKNEVDEWRRTHIINILVFSGVGMKITTQFQ RRSGDVLTFLGNVLVAMMAISYLHDLSSAIGGIFGGDDSLI >u193555 FQADLSKQDSSHSAPLVLAFCAIAADAGCDASLMGLYAIHRSRFSFRSRTDDRTRGAATW SLPSGDPFTLIANDVMELCVIGCSLEDAPLMHIVEKGDDVHA >u193660 GVTDFKMYDSQQDDFSQALERAFLRELGVGDEFLDHYFSFRKDGKLITGGIAGRLGTEKT SGEPMTLLGNSVISMLLANWLLRGEGEYVMAVKGDDGFK >u193765 LENDFSKFDKSQMQECLLLEKVLYEFVGLAPNLLEYWIDSNVSGEVRSVAAGLRYWLSLQ RKSGTATTSIGNTLVNMATVALAYDLRPQDYVYAVFLGDDSLV >u193841 VSGDDSLVIVWSETSNISVYEGDFGMFDQSQSVGPLTFEYAVLKRLGVPHDIVERMEGLA HATYLFRTRDKRSSAEVRVNLTRRPMRHTGGTDTTFGNTVVN >u193957 TDNDYTAFDQSQDAAALFMEIQLMTHFNIPQHFIDFYFWLKTETYSWLGPFSIMRFTGEW STFLFNTLFSIAYSFSKYDFPKDALLCFGGDDSSF >u194215 IESDAKNNDGSQSKEFRKYEALWYRRHGAPLWFVQEFARNTSVTVWTRYGVQARVDGQRW SGESTTTTGNSYVHMALMLAAAEKASVVDSVHIHGGDDFLG >u194563 ASGIDSAALANKLYSLSASYVEDDISVWDSSLGEEFCKFELRVCKYFKVPRAVYQLCKAN IATHGISRFGHKYSVPGTRKSGDPYTSLFNTMIN >u194643 VENDFSTFDATQKYEALNMIIDCFELANFPREIIHLMRQDIKYCKVTSRLGVSYAIGGAR LSGVTETLVGNTLLSLIVMYHVFEDSINGGIYKGDDSVI >u194702 VENDYTQYDQSQREECLYFEVLLMKHFSVPEGLIDRYVHNKTHCRHKYGEAAIMRFSGEP GTYTFNTWVNIAVLCCKFRIDGFAFAVSGDDSLI >u194723 VENDYTAYDQSQREECLYFERKVMRHFRIPEELIEQYVYQKVHCRHKYGDAAIMRFSGEP STYTFNTWVNVAVLHCKFDLNGMPYGVSGDDSII >u194854 FECDFTSFDSSQNEISVMLEIEIFERMCPELAGTELIEMYRQMRLNWVASNEYVKWHGSG VKCSGEPATLLGNTMVNMLIIISSFVFEGVRFCLFKGDDSLI >u194896 TESDFTAFDQSQKGESVAFEALVMRHFSIPEEIIEAYEIDKTSYRCQFFEIAIQRLTGEA FTWLYNTMFNFVYTQIRYDISLEDPQMYGGDDMTV >u194958 TVNDYTAYDQSQVGEALAFEICLLGFFGFPQDVIDYYVELKLALECQYGPLQTMRFTGEG PTWLFNSLFNAAVLGLQYELEPDQAVAISGDDMAI >u195134 SWNDFTAYDQGQDASFLAMEVTLMEQLNIPRSEIDFYIWLKSNTFSRLGSFSIMRFTGEV FTFIFNTLANMAISNLRYHLDSSPAALCFGGDDSCF >u195175 AVTDGADFDSMQNRFTQEIEREHSRFLGVPERFLDAYYELRNDYRMTQQGLFTAQCRSEK TSGEPGTLLYNSQLGGTVTDNAVQGIGPMTLDMQGDDAKK >u195398 GENDYEAFDATQHVACRMLIIEMLVEHFGMAPEVARLMRAAAKEKFGHTLNGTFVSMEGT MASGHPDTYLTNTMMNILLQWYASACCGVFKPPIAAAGDDSVI >u195633 LENDFSKYDKSQGEFATRLKGYLYQQLGFGPELVKRWMDAQESSVLVSMVLAIRLEIVDQ QKSGDGATAFANGALNVMSVSWAYKGTQVDAAVFVGDDSGV >u195675 TGNDYTSWDQGCDTTILKLDEHIFRRCGLPDSFIASYLDRKLHSRSFPGLLAVMQNSGDR FTWPMNSLRNAVVTLTNLGYRPDVQYWFNGDDFVA >u196209 LTADFSEFDSSQEMQGILAGATYFKLCGVPDHIVDMYLSQRRRWLMLAVDKDDSTIMRAM LEGVWKQHSGQPDTLNGNTTFNMAAMGACYNITDLQFASFKGDDSII >u196326 SWNDFTAFDQGQDASFLAMEVRLMEQLSIPASEIAFYIHLKTHTFSNLGSFSIMRFTGEV FTFIFNTLANMAISNLRFVLDRSSKPLCFGGDDSCF >u196404 VEVDYSKFDKSQGEAILLFECLLFNWLGMPQQFIEHHYRSHSESFVRCSTTGFSATTQYQ RKSGDPWTFHGNSIVTLATIVHALAGYSAVGVVAYGDDSIV >u197053 LMLDFEQFDTSQNEKATMSSCIMLKNVGMPPHIVNYYLQRRSEWVLQVKDNTSADVDLIA FLEGEWNQHSGQPFTLSGNTQYNMSAIGMCYKIEDLVCAAFKGDDSFI >u197257 FAGDDTFFMVNKRGHNYYGEIDFSKYDRTQGHHALCSAIRIENLLGIQANVCEAMFISYS SSSKYEEKSLNLKDKISMPIQRATGGPDTTIGNTINN >u198009 LQIDLTRQDSTHRPSHVLAYAMFLEFCNVPREICDLYIMLRSMAYVKSLAEGLYKAIIKW NLGSGDPFTLNANCFMMKSTLAVRYTGLRYCAGIQKGDDFTC >u198111 AVMDHKAYDATQNLFTQEIEKEVLRTMGVSEKYIQWYYHLRASYKLIGGCFIARVNFKKT SGEPGTLLYNSVLNAVLCNYIVRGSGPFILFIQGDDGSK >u198272 LENDLEKQDRQTESQIINAEFALYYLLGADESMLAAYKKTHDYWKFTTDYSVGVGYEMRL SGEATTALGNAIVDLIIQTNEINDIQWMIFLGDDSVI >u198557 SCNDFSEWDASFRKCFAKLTTNLILWMGCPQSLADFFEHYRSRWTMIYRHEYGTTSLKGE EKQFSGNPFTICENTIGNMALCYSLFKYEGVKLALFKGDDSAV >u199059 YEDDLSKQDRQTDKQNIEFQQQMLILLGVHPQVVRLWSYTYSLWRFKSKQTWGWQMYQRA TGSALTALGNVLTNINVHADLIANNMANIRLVLCLGDDHCT >u199235 LELDISKYDKSQEGVWLDAQCEVFKLLGMSDDMIELWRVFHEVCILTAPKFGVSYRVGFQ RRSGDALTWFGNTLVLLMLMAYLYPIENAIMVLLGGDDNLT >u199355 LELDISKFDKSQDETMLDAQCKLFKLFGMQDWMIELWRSHHELCKLTSPTWGARYSVGFQ RRSGDPLTWFGNTLVLLMIMAYLYPIEKYHMTLLGGDDNLC >u199408 LEIDLSKYDKSQQDNCFAVEMKIYNLLGFSDELFLQWKKGHELSFVKAFAGGIMFMLRLQ RRSGDAATWLGNTIVNMAAVCTAIDCRDVYFGLFSGDDSLL >u199607 LENDFAKFDKSQLEVVYWFEYYLFKSFGMYEYLLEIYLNANRTSRFYDAKHGVSANVNYQ RKSGGATTWLGNSLFTLCVLLCVYDIEDIIAMLVAGDDSFV >u199853 VEGDFSRYDGRQTTWCVDLNTRLMLRAYGPEEAETIRELRYKLSHALFTTGYGVKYDSAD SQKSGSATTSIDNTVTHAFCQFSHFRNIGYEPDQAYQAVGLCAGDDGLL >u199906 TEFDTTQGEGAVVANAVTFRLFAMEESFIQEYFKMRAKWFMATVTPGARMILTGKFMQHS GQPATLDGNTLFDMQAVGACYEIKDLRFAAFKGDDSLV >u200266 TTNDFTGFDSTQRGDSVGLEYRAMRHFNLQEAWVALFDWYRDQCQTVPDLYLDWKLTVES DLIGPKETGRDTGEPGTYDFNTWFNAAITQGKYDLPRTVASALGGDDGAQ >u200536 LEIDLSKFDKSQGELALELELLFMQHFGVSELFLDIWRAQHTHTTLHSRSGRWSTNITYQ RKSGDGLTFWGNTIFSMCITAYLYRNSDIKVAMFAGDDSLI >u200537 TESDFTLFDSSQNGRGVAFEELKMEYFRLPTVDIDFYVELKLTSESFLGTLPVMRFSGDV NTLLGNSDFTIAVMNLRFRIGCCIRLGRNVLHCGDDFAW >u201028 VEIDHSKYDKSQQWTALRIEWFLYKKLGLDMDLCEVWKAGAVDCVMRSTQLGIKLWSILQ RRSGTATTALGNSMVTLFTLGASTDFPHGFYYVLFLGDDSLV >u201130 HANDFTAYDQGQDGPFLFMETKLMEALSIPREYIDYYIWLKTHLNVRYGDVGIMRFTGEV FTFLFNSLANIAITNLRFVLGTSVCCFAGDDMAC >u201371 VACDISEQDTTKSEATHLVFRWLFEAIGVPSHTYDIVQQACIRWTGFGLDFSINNVETFQ SGINWTYLNNTVDSMARIGASFEIEGLRLAMFKGDDAYV >u201383 GENDYEAFDATQHVDCRLLIIEMLVEHFGMSVSVARYMRAAAKEKFGHTLNGTYVSMEGT MASGHPDTYLTNTMMNILLQWYASACCGVFKPPIAAAGDDSVI >u202287 LENDFSKYDKSQSEMCVRLEQFVNDQLGFDINMMERWYKGHERSRIHSVQNALTLFIDWQ RRSGGGNTAFGNVTVNILTTAYVYKGSEVIAATYIGDDSLI >u202349 YENDLEKXDRQTTKYITDVEMEIYKLCGMDWELVDFWSXVHDTFIIKGRFCRTIAKEMRT TGQATTSIGNFITNLXVHSDMILRNQDKLIIGLFLGDDMLL >u202366 FCVDDCARKRLSKPLAMLNNLERDQDPSLRDNHTVLNFLKGQLINKLDTLTKFSESENIS VPTVKPAQMITTYTEEINAFFGPITRYLATKLRLSLPDDHVLFYGGYSLSDLDEWSRRHI PANLSQSFANDYTAYDKSCRGDSLQFEVCVMRFFNVPERYIDLHVDLTCHLNSALGHLGI MRTSGQWCTYLFNSWFN >u202733 TINDFSAFGASQGGDSLAMDEKWFEWLGVLESMIQLHHRLKCNMQIGAFVKKICRDDGEP GTFFFNSVFNIGNCVCKFARAALWRGKWYFAGDDMAC >u203050 LENDFSRFDSTQTPELLEMFYAFSERCGVPSDVADLMRQDLEGCKVKVKHNVTYVVRGCL LSGRSQTLLSNTIINMCVMIWALEDAFRMMVVKGDDSVV >u203051 IEDDFSSFDATQSLGAHEAEMSFYRLFNPSKTVLTALQAQKRTVGVSKYYTYMCPYTRKS GDQNTSIGNTLINFVVHNYVIRKHYPGMRFWMMALGDDNLL >u203804 FELDVSKYDKSQEAVWLEAQCIVFKLLGMCNQMIDLWRVLHEMCILTAPKFGATYRVGYQ RRSGDALTWFGNTLVLLMMMAYLYPIEEAIMVLLGGDDNVT >u204910 TETDYTAWDSSIDAPFFRFDAWLMEQLGVPQWYIDLYLEEACRTKFFRGNMGLSQKSGNR YTFLFNSLRNLALTNHTYAGLTHVPQAYGGDDSLL >u205365 IELDLSMCETTMRGPFLVLEGDIYRAFGLNLEDISYLLDHKTSFGKSGKKDLTFKMPFCR ESGTANTTPGNTVVFAAMLYATLLLAGLGSSYFCLIGGDDACI >u205425 GTNDYSAFDQSQTGEALSLEVVKMRVFNIPDHVIHYYEELKLTLTCQFGSLAVMRFTGEG PTLLFNSDFNTALIGCQYEMPPDTPLMVAGDDSAD >u205428 TVNDFTKFGATQGGDSLQMDLQWFQWAGMSDASVELYRRIKLSLQALGGTKKTCRDDGEP GTYLFNCFYDLGITAERFGVEALWIGFWLIGGDDEAA >u205887 VEDDLEKQDKQTDHWLLYLERLIYLICGLDPSVADWWFNMHNIWKCMSKKNYGLRILSRL TGQATTALGNLVVNTIVHSDLVLELGNRCLLMIMLGDDNLA >u206074 YGSDVTRWDVGCDVAMVNFDVHVMRSLCFPTWYIDAYIERRVSSFSQHGTMKTMQNSGDR YTWILNSIRRAVVTSLVCAITPADTAAINGDDAAV >u206482 LANDFSEFDSTQGVVTTKLEQKLWRHCGLPAHLVSLYGVLRASWRIKVPGVASVQNGDMR HSGEPFTLLGNTAVNMAVSGVIMQCQGFSFAGFKGDDSIV >u206583 LQIDLTRQDSTHRPAHVLAYAMFLEFCNVPQEVCNLYVMMRSMAYVKSLAEGLYKAIIKW NLGSGDPFTLNANCFTMKSTMAVRYTGLEYCAGIQKGDDFIC >u206623 EMCDIEGFDSSIRGADVTLERLLMTHFGVPTDHIDAYCEDKMDFHTRTIHFGIMRFSGEI FTWLFNTMHTLARECLKFGHKPGDPIAVSGDDILK >u206703 TMSDCTGWDRGRGKPFLALDIHIMRQTGLPEGYVELYKDEKYGTSCYLGPLPVMQFSGDR WTFLFNSFSCLAFSMALFDCPDDAPIIVGGDDVII >u206971 FTCDFTAYDQSCTEETLSFELCFMNFCGIPEDLIDLYRWIKLSMRTQFGFSAVMRFTGEF GTYDFNTFWNMAYMETRYHIPLNTACAFSGDDSLF >u207095 GTCDYSAFDQSQDISVLLFELKVYEAMGVPRALLDRFKRWKMNLICQYGSLEVMRFTGES GTILGNTLANMALSNLERDLAGPRGVHSPCAFIGDDSVF >u207167 TTNDYTSFDQSQTGETLSFERSLLDFFCIPGWLKDWYTESKMDLFCQYGHLQTMRFTGEG PTWLFNTLFNFALIFCQYNMSPSQPLAVSGDDMAI >u207186 VMSDVSGFDSSVRGASVTNELRFMEHFGVPQDLRDAYKEDKMDFKTATIHFGIMRFSGEI FTFLFNTTHTMSREALKYRLMPGERMMGAGDDLLR >u207597 IANDFTRFDSTQTNPLLNLIIECFELTNMPPEVIELLRRDVDVGTSVSTKFLDYVVRGVR MSGRGETLSGNTIANLIIVIYAFDDLIRMAIFKGDDAVL >u207755 TACDMTGWDTGVDESFSLLYRRVFASFGVPESVCDAFVEARHSRRSFMGPMGAMQASGDR FTWLCNTIGNMAVTSLTFKLNPLQASSFSGDDMLL >u207921 VRLDAAEMDSKQNEFTHYINRCFIERLCVSCEFLDLYFSMLEDYYVVNPEMKLHLRWVKP SGEPWTLLGNSFLMTALCLWLIIGDGPMALFTQGDDVDR >u208087 AWNDFSAYDQGQDASFLAMETQLMECLGIPASEVSFYVWLKTNTFSRLGSFAIMRFTGEV FTFIFNSLANIAISNLRFVLTGERRAMAFGGDDSCF >u208109 FTNDFTAYDQSCTGEAIWFIVKLLQWRGYPDEFVQLFFRLKTDLSTSFGHSAVMMFTGEP GTYIINSLYNLAYMSMKYELKGITLAVSGDDSIF >u208129 LENDLSKQDRQTEDNTLKLEMEIYRQLGVNETILKWWSSVHMKWRYKYRTVKGWDESKRQ SGAVTTAIGNLITNLIVNKQMVSSAKMHNKFICGVLLGDDGLF >u208608 VAGDDSLVAINSTKLQLLIEGDASMFDQSQSFPLLHDLWGLYEALGGTDEVISIFRRQAR ATYQCRGLKVSRSKRSNRETGGADTTLGNTIVM >u208988 TACDYTGWDTGVNESFSLLYREVFIRLGVPVHVADAFVETRHSRRSFLGPMPAMQASGDR YTWLCNTIGNMALTSASFNFPPDTPCCFSGDDMIL >u209007 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELMALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKIARAFAGDDSLF >u209248 MMADFTEFDSSQEEKGILASNMVLKMCGFDEDILNFYMSMRSEWKLLSNASNDVSKMIII LEGEWMQHSGQPNTLDGNTQFNMAAIGMCYDFSEPDLSSFKGDDSLL >u209342 VDNDFTEYDASQNSSTIEFETLILEDLGVVTEVIELYKERRSKWKTYYPGYASLEGRDKK HSGESFTIDFNTSLNMAICGYIYEFDLLVVAQFKGDDSNI >u209428 VSGDDSMAVKRGGWQQKGRAFLRFGEGDFSAYDQSQRAHCLTAHAVWMTALGLPKLLIDL ILWVCAMPYRARGKRVKVKGKAGCQLATGIDWTTVINSMSN >u209748 GIVDGEEFDAGQTQGTLFAEMIHRRMSKISEKFIETYYKIREPGTFVYGGICSGQTRYEK GSGFPDTLLGNTTLEEIIGHNAIVGEGPRVLGVKGDDFFK >u210032 WESDLEQQEKSMSGAYVTLFSKVLEHFGVPRDIIEAYIDDKLDKRTARMHLGLMTFSGEI FTFLANTLGNMARIAAKYDLKPAERGKFGGDDSLC >u210280 MEIDFSKFDKSQEEIVLNSVCLLMLRLGVSKKDVDEWRRTHIINILVFSGVGIKITTQFQ RRSGDVLTFLGNVLVAMMAISYLHDLSSAIGGIFGGDDSLI >u210345 LEVDFSKYDKSQELFCLKLFLEILRRFDVPEKYLVDWERYHISNVIKFKREGVKTKVEYQ RRSGDVFTFIGNTLVAMCCIVWSYKDIISQAAGGVFGGDDSLV >u210412 STCDFTEYDQSCTSSTLSFELLLLRWCGLPESLLAAYWEQKVSMRTQFGHSAIMRFTGEG PTYDFNTFFNMAYMALRYGLTSKDACCFSGDDSLV >u210621 YTCDFTAYDQSCTAETVTFELALFHWAGITQEDPRLAEAYLDIKMTMHTQIGPSAVMRFT GEFGTYDFNTFWNIAYMSLRFVLRPSRAAAFSGDDSLF >u210673 TCNDYSKYDQSQNEQFLAFEILLMKFLHIPEPLISLYANIKMNTKYFAGILDIMRITGEK FTFLFNTYANIAHTELKYNTSHLSIPEVYGGDDMAI >u210693 FSNDFKAYDQSQDQKVLAFEVRLMKFLDIPKEIIDEYVYIKLNSKAFTGPLQTMRFTGEW CTLIFNTFMNMAYMNLKYKIPKGMPCAFAGDDSIF >u210796 LEVDFSKFDKSQTEVCFEIEMAFWELLGMDEALLQLWRLGHFSVSATDFRAGIKAFLHYQ RKSGDSATAFGNTIISMSSLAYAACFSEVEAAYFVGDDSLV >u210806 TEDDYTAYDQSQDESFLHLDVLMMTRLGMPQHFIDDHVWLMTHCTSWAGPCAVGGKSGEQ LTWARNTHHSLAYQALKYRIVPGTPIMASGDDVAL >u210854 TDADHTQFDCTQGNGLARLQEAVYNRMGFPRRTTAWLLAMRAKYHASALDASTMAYCTFD FMWQMTSGALYTLTWNTVANMAITGACYHFGDIALAAFKGDDVHI >u211157 IESDMKNNDGSQSVEYRRYEAMFYKKLGAPTWFVKEFAKNKEVRIWTRFGIEAKVVGQRW SGESTTTTGNSFVSMCIMLAALHASGVKESLNVHGGDDYLG >u211251 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELLALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPQVARAFAGDDSLF >u211275 LELDMSKFDKSQGSMHLKTECMILKHFGMSDELLDLYYLSTLVTKNVDPISGITLLMGPI RKTGGWDTFDGNTIVTMAAIAHRTHGIGQADLLYFGGDDSTI >u211298 TANDYTAFDASQGYDSVLLECHVMRLAGLPDHLVDSYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLNCLALFGGDDSAI >u211533 VSGDDSLVIKNHNGALTIFEADASAFDQSQSTGPLNFENEALTSLGAEPVLLECLDALSH APYLVKFKQGARKILHNKRPMRITGGADTSLGNSAIM >u211707 VENGYTAYDQSQREECLYFERKVMRHFRIPDELIEQYVYQKVHCKHKYGDAAIMRFSGEP STYTFNTWVNVAVLHCKFDLNGMAYGVSGDDSII >u211785 TVNDYTAYDQSQTGEALAFELALNNMFGLPHHVSQYYFELKVDLSCAFGHLAVMRFTGEG PTLRANSDFNAAVIGLQYVFGPDLAIAVAGDDSAI >u211832 TENDYEAYDQSQTEEALDFELRLMRYFNIPEEYLEYYVFLKSNAITNLGQLSIMRLTGEW CTFLFNTYYNIAYTALKFLEFQGDSSEI >u211846 MSIDLSQQDSSHINVHRYFIAKVLAFLGFDDTIVTLYLMSRARRFCKGLTMLGLLFEVIE RLFSGEPGTALFNFLMSTGTTASTFDLSKFVVFLGKGDDNTI >u211852 GTTDVKEMDSIQDLFTQEIEKEMLRELGCSELFIAEYYSYRSKYPIVCRGVFSGKGEGEK TSGEPGTLLFNSVLAAVFTNAIFRGIGISVLLFKGDDVIK >u211955 TETDYTSWDSGVDAPFFKFDAWLMSQLGVPQWYIDTYLDEACTTDSFRGVLALGQRSGNR YTFLFNTLRNLALTNHTYSGLSRVAQAYGGDDSLL >u212002 TTNDYTAFDQSQTGEALALEQIILKVFKVPEHVISYYITLKLELTCQFGELAVMRFTGEG PTLCFNSWMNDAIIGVQYVIERDTPTAVCGDDAAI >u212089 YSNDYTSFDQSQTGEVLSSELLYMWHSGIPESIIKIYEENKVDMNCAFGHLQTMRFSGEP ATYAFNCRCNLAILNLQFPLDRNSDVAVFVSGDDGGI >u212094 TYCDYSGWDTGVDESFTLAYASIMRSYGLSQSVVERFVRDRHNRVSFLGPMPAMQASGDR YTWLNNTIGNMCLTGHSFKRVAGAPIAFSGDDMIA >u212257 TYTDYTGWDTGVDESFTILYSETMIRFGIPAHVAKKFAQDRHSRRSFMGPMPAMQASGDR YTWLNNTIGNMALTGISFDIRPDTVAAFSGDDMIL >u212328 VENDFTEYDSSQTELSINFEADILKFAVHNEEIVELYKEHRTNWKTNTPGLLTMKGYAKK HSGEPFTIDFNTILNIAICGSIYNIDNLSCALFKGDDSLI >u212329 IFNDYSKFESAQQPELLCDIELTLWGELLSGTHLDIIKSIFSIKMEKKGTTPHGVGFSFT GCRGSGDADTGLGNSLVNYVACRYFEIINGLGTEDFVVDGDDSVI >u212387 LENDFSKFDKSQNAFAYKLFCFIMEKLGFTQELLDIWTDANTDCTLKSMQLGVLLVSHYQ NKSGGPATALMNGVLNMCAVAYCYNGTQVEWATFMGDDSLI >u212416 TSNDFSEFDQSQTGDALSLEMVMMDAYHIPEPLRDYYFSLKTHLRCSLGPLATMRHTGEG PTWFFNTMFNCAVTGLRYGPCADKARCFAGDDSSI >u212444 FESDISGFDSGQDHNPLRMELELMHFFNVPKKLIDFYEKTKISTTLGKHILAIARDSGEL FTWLFNTMHTIARRHCKSLVPRGTPQGYGGDDEVH >u212493 LEMDMGKFDKSQGLTSLLFECKLFSYAGLPDWLVRLWYISHFHAKVHGFGTSLRTQLPHQ RRSGDPWTYGGNTFFLLAILSEVCASNGRFYMVSGDDSLV >u212630 TSNDFSEFDQSQTGDALSLEMVMMSAYDIPDSITDYYFSLKTRLRTSLGPLATMRHTGEG PTWFFNTMFNCAVTGLRYGHLGDKARCFAGDDSCI >u212639 TSNDFSEFDQSQTGDALSLEMVMMSAYDIPDSITDYYFSLKTRLRTSLGPLATMRHTGEG PTSFFNTMFNCAVTGLRYGHLGDKARCFAGDDSCI >u212706 SWNDFTAFDQGQDGAFLSMEVQLMRALNIPVKEIDFYIWLKTNTWSRLGSFSIMRFTGEV FTFIFNTLANISISFLRYHIRLIPCCFGGDDSCF >u212812 VSGDDSMAVKRGGCQQKGRAFLRFGEGDFSAYDQSQRAHCLTAHAVWMTALGLPKLLIDL ILWVCSMPYRARGKRVKVKGKAGCQLATGIDWTTVINSMSN >u212890 YVSDMTKFDSSQRGEWVAMELALMRLMNFDKSVLEEYSWLKTHTAAFPGWLRIMRFTGEA FTFIFNTLVTISHGALKYHLDPSVARCNAGDDEAY >u213106 TESDFTAFDQSQKGESVAFETLVMRHFSIPEEIIEAYEIDKTSYRCQFFEIAIQRLTGEA FTWLYNTMFNFVYTQIRYDISLDDPQMYGGDDMTV >u213363 IANDYTAFDASQGYDSVLLECHVMRLAGLPDHLVDRYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLPCLALFGGDDSAI >u213480 FTCDFTAYDQSCTEETLSFELAFMEYCGIPTSLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYRIPRDLACAFSGDDSLF >u213944 LENDFSKFDKSQQWTIIMIEYLLYQMLGLDVLDEDLWESGHIITEGTAFAAGLKVFILLQ RKSGDVTTATGNTISNEITVCVIYVLPDGFFYSCSLGDDIVI >u213996 LELDMGKFDKSQGLTALLFDCELFVRAGMPRWMVNLWFLSHIIARVKGFGTSLRTVIPHQ RRSGDPWTYGGNTFFLLAVLKYYCGDRINYIMVSGDDSLV >u214122 STCDFTQYDMSCKAETLSFEMCLFSYFELDVQFPDLTELYLFIKTHMYTQFGPSAIMRFT GEFGTYDFNTWYNIAYMAFRYELDVRAPTDGAAFSGDDSIM >u214219 QEIDFSKYDKSQEEVILDIQCQIMRRMKVPEETVQAWFDMHTSNTLVFHRYGLAIRTKFQ RRSGDALTFIGNTIVTMAVLAYTNNFNDAYGGVFGGDDALT >u214237 FTCDFTAYDQSCTGETVIFELSWMRSCGVPEWVLDLYVKIKVDLTHNFGHSAVMRFTGEA STFAFNTAFNMAYMRLRFVIGETSPCCFSGDDSAF >u214318 FTCDFTAYDQSCTSEVLGFELAFMDYCRIPQELMALYEEIKIDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPNVARAFAGDDSLF >u214416 YENDFKSYDKSQHTACLALELEVYRSLGVPYRVVELWDEAHSKTTGTVRNEQLGIKIELE TQKRSGEVTTALGNTIVNLLSVNAVYDFKDAIFQAALGDDHIA >u214682 TATDYTMWDKGCDASFLHFDVLLMERAGLPTWFRDQYVERKLGTHIGRRTLPIMQISGDR WTWLLNTLRNLAFTNLRFRDLSECAQAYSGDDSAI >u214719 MIGDFPMYDSSQNGFTQQIERALWRSGGVSDLFLDAYFDHREKYTIQSDCVRGDIKYIKG SGFSDTLTGNSGLTAVLNNYIARGAGPCTIVIKGDDFNK >u214762 TCEDFENFDQSQRAEIVAMEILLLKFYNLPQEYIDFYLTFKTHFETYIGNMATSRFTGEP PTFDFNTYATIAYTHTKFHMPPNTPQCYGGDDSAR >u215002 TELDITALDSSERGGSLQLEVEIMEHFTTDPNLVRDYVDDKFSFHTDTIHFGLMRFSGEI FTFLFNTLFMLARTLCKYAIPRGTPMKVAGDDILL >u215152 SWNDFSKFDKGQNAAVLAAEIRFMECIDLPREEIEFYTWLKTHVFSRLGSFAIMRFTGEL FTFIFNTLFNIMVAELAFGISRFKFAMFFAGDDSCF >u215181 GITDYTMYDSQQDDFTQCIEKEFLRRLKISDEYIDIYYRYRKNYKIISDNIYGKCGTEKT SGEPATLLMNSIIAMVITNYIFRGEGPSVMAAKGDDGFK >u215610 MEIDFKKFDKCQHSLLFKFEIELYRRFGMPEWMIDIWIASHEQTRLKSYATGVKVSVNYQ RKSGDPATLLGNTLVSMGMVCLMYDFDFGMFVGDDVSL >u216443 VECDFSKFDKTQTPVILEMEYAVYEMLGLDTRIIDEWRKCHEYTTARNVATGVKLTTVGQ RKTGDVATALGNTIANMCTLAMVLPMQRMVAGLFSGDDSAF >u216491 TSIDYTAWDSSLDEPFLRLNAHILEFVGVPSPYIEKFLDERLNTRSFLGPMPLMQFSGDR YTWLFNTLSNVSLAHAAFENASTTTLGVSGDDIIL >u216530 LELDISKFDKSQDETMLDAQCKIFKIFGMDEWLIELWRAFHELSKLTFPTWGARFTVGYQ RRSGDALTWFGNTLVLLMILAYLYPIEKSYMSILGGDDNIT >u216980 TTNDYTAFDLSQRGEAMAVEVLYLKYEDFPDWIVEYYVYLKTNMSCQYGDLAVLRHTGEG PTWFFNCVFNISVSGLQYELGPDQPMAISGDDEAI >u217251 IEIDFSKFDKSQQLFCHNLEMGFLGLLGFDQEWLDLWKFAHQDTTAQDFKCGVRIRTQYQ RKTGDSATAFSNTLISVFSIARCMNLSDLCAAYFVGDDSLI >u217567 IEMDFSKFDKSCTPYTVLLEEKWMERLKAPKEYIDAWRKTHTNTKLKSREYGFKIDGGSX RKSGDPATFLFNTMVTMITLAGSYDLKQFKCGLFGGDDSLL >u218054 LCLRVGKYDKSQEAVWLDAQCIVFKLLGMCDQMIDLWRVLHEMCILTAPKFGATYRVGYQ RRSGDALTWFGNTLVLLMMMAYLYPIEKAHMVLLGGDDNVT >u218155 TETDFTEFDCNQDSLTLEAECYMMTIYGLPPAVVWLYRQMRTCWRLSARNCAQVFGQYGQ HSGQPATLHGNSFVSMFLISNVVDVDRDSVMLFKGDDCLI >u218731 VSGDDSLVAVWNGADWDWYEADATMYDQSESLGPLLSEYRALAALGVTSDVVAILHQLAH AKYVVRGEGWSLNIDRTARPMRDTGGADTSMGNSIVM >u219003 PXRDWTEFDSSQNNIEHLLFAKCMRALGCPQRLLLRFVDMMRSRYVQSRYGSVNVRNKKD SGRVDTLIGNTIFNATVLLSCFELDSLTAVFFKGDDSLL >u219062 LSSIYSEGDTSISTFLDGIWKQHSGQPFTLDGNTMFNMMAIGMCYDWIQLDAASFKGDDS AL >u219257 TACDYTGWDTGVDEGFTLLYADVFRAFGVPWSIVDDFKDARHGRRSFLGPMPAMQASGDR YTWLCNTIGNMALTAATFDLTPTTPCCFSGDDMIL >u219348 FENDYEKFDKQTDEVDVELEFELYKRLGLSDNIINVWRAIYKNIKIISHQFSMKLPTMRL SGAPDTALGNTIVNFFAMIYMCKTYKNSLNRLYTMGDDMTS >u219445 VDNDFTEYDASQNSSTIEFETCILEDLGLTDECIDLYRNHRSQWKTYYPSYASFEGVEKK HSGEPFTIDFNTSLNMAICGYIYDFDDLVV >u219456 FACDFAEYDSSQYAMSPMANAVFMSLLGAHRNIIDLYIDMRTNWRLNDDMMKLYGNQKMH SGEPFTLVGNTLFNMLIIANCVEFDHLVFASFKGDDSAI >u219596 SEQDTTKTEATHLVFRWLFEAIGVPSHTYDIVQQACIRWTGFGLDFSINNVETFQSGINW TYLNNTVDSMARIGASFEIEGLRLAMFKGDDAYV >u220044 FENDWAEFDSSQNNLEHELFCCVMLQLGCPPRLVSLFKAMMYQRYVAANIGALSVLNKKD SGRVDTLIGNTLFNSSVLLSMIPNWRELLVVVKGDDSVI >u220357 CEDDFSKQDRQTSDDTLRIELNTWALLGLHPDLVRWLSTLHSKWFYKFKEMWGFEKGKRK TGSVFTALGNWHTNLLVHADYYKKYRYVINFVLFLGDDYLV >u220572 GENDYEAFDATQHVACRLLIIEMLVTHFGMRPEVARLMRAAAEEKFGHTTNGTYVSMEGT MASGHPDTYLTNTMMNILLQWYASECCGVLMPPIAAAGDDSVI >u220598 SWNDFTAYDQGQDASFLRLELTLMERLCLPQDVIDYYSWLKTSTFSRLGSFAIMRFTGEV FTFIFNSLANIAVSSMRYYFAPGRACMFGGDDSCF >u221597 TCNDFSEWDASWRGCFTEFTCTLLLYMGCPKPLVEDYKRFRDDWIMTYMTAFGNVTLSGR EKQFSGNPFTICENTLGNMALCFSIFEVRDMQYAMFKGDDSVI >u221605 IENDFEKYDKSQHITAVKLKNYVYKRFGLNDIDHDTWEYGSELTHAIAFDTGISFTYCFQ MRSGMSDTAIGNTVINAISVAYSYKIKVYIFAVFLGDDSII >u221695 LELDISKFDKSQDETMLDAKCKLFKLFGMQDWMIELWRSHHELCKLTSPKWGARYSVGFQ RRSGDPLTWFGNTLVLLMIMAYLYPIEKYYMTLLGGDDNLC >u221738 TETDYTSWDSSVDGPFIKFDCWLLHQMGAPAEYIASYQEEACSTRLFRGNLRLMQHSGNR YTFLLNTLRVLALTQATYQRLRFVPQAYGGDDSLI >u221746 STCDFTQYDMSCKAETLSFEMCLFSYFELDIQFPDLTELYLFIKTHMYTQFGPSAIMRFT GEFGTYDFNTWYNIAYMAFRYELDVRAPTGGAAFSGDDSIM >u221905 MCADFSEFDLSQEAQGILSSIIILKICGYKTPIIDFYLAMRAKWTLFARSTNNNEILTMY LSGHNMQHSGQPFTLDGNTIFNMACMGMCYIYDDLICAAFKGDDSFI >u222360 YEDDFSAYDSSQGAGAHAAEMAVYKLFGPDEVVLNALSNQQRTVGYGKYHRYKAKYTRKS GDQNTSIGNTIINMMAHVWAISKYNVGRKQKVEFKMLALGDDNLL >u222473 GVTDFTMYDSQQDEFTQLIEKTYLRKIGVDEGFIEHYFSFRRDYQIICGGIKGKAGTEKT SGEPGTLFFNSIINAVCLNYILVGEGPFAMAFKGDDGYK >u222732 VSGDDSLVVDHRFGHSRFFEGDASMYDQSLSIGPLESEYMALAKLGVPCETLEQLRTIAR APFILYDKKRTRYLKITKVGHPIRDTGGADTSVGNSYVM >u223687 LENDFSSFDATQNQCALGMVYDYYEMCGMPTNVVDMMRRDTFNGCKITTSVGISFHQRNS RISGRGDTLFGNTILSFVAMNYSTAGKVKRIIAKGDDSVM >u223759 TTNDFTQFDCSQGAEALWREIHVMRLFSIPEWLIALYVHQKLTFTHQFWISLIIRFTGEP GTYRFNTDFSAAQLQLQYNLPPGTACVISGDDILI >u224100 AENDCTEFDASQNNVSIAFDSIMLSSTGVSQLFIDLYVSHRTDWSTIYQSYAKFYGTCKK HSGEPATIDFNSALVLAINGALYDFQELVTAGFKGDDIYI >u224337 STCDFTKYDMSCKAETLSFELCLFSYFGLDVIFPDLVNDYFFIKTHMYTQLGTSGIMRFT GEFGTYDFNSWYNIAYMAFRFKLNPLDTRGSAFSGDDRSE >u224567 YFSDDSCFSFLHKGVVHRYNVDISKCDASHGPGIFEALECITPTEHRDDMHILTEQCKLP IRIVSTFDKSQKVVGRFKGARLYSGSTITTIINNLAN >u224669 STNDYTAFDQSQTGEAVALEMVALRARNIPDHVIEYYINLKLELSCQFGELAIMRFTGEG PTLKFNSDFNAALIGVQYIVEPDDARCVAGDDMAI >u224706 QEDDFTAFDQSQTAEFLAMETLLMQHLNIPEEYITFYTWLKTHCKCQYGDLAIMRFTGEW CTFLFNTLANIAYQHTKYVIPPNTAQVYGGDDSAI >u225135 VENDFTEWDRFNTEPNIRFGAHLLSYVGLPPEFEDFYVQHRMYWKTKCVNVITLHGEVKQ HSGQSLTLLDNTNNNMALSGILFEIVKLYVAGFKGDDDSI >u225565 VGGDDSLVVLDFPGQPLLLVEGDASMHDQSQSMGPLLHEMKLLRFLGVTSEVIRVLMQNT FAAYKLRYPTCEGGVRIEHPSRPMRPTGGPETSLGNSITM >u225698 LENDFSKFDKSQDEFSFKVFMYIMQNLGFDQELLDRWVESNRDVTMRSMILGIILKASWG NKSGGPATALQNVALNLAAVCTCYPGTQIVWAVFMGDDSIV >u226007 VDGDATSFDSRQNHLVIAAEFLIYTMLGIDHGALALYKTCHDHWYLKGKGVTGTFNAMRI SGQATTALGNVIVNMLIHADFVIANRSALSLGMFVGDDNLF >u226057 ATTDVKEMDSIQDLFTQEIERCMLRALGCSDLFIEEYFTYRSKYPILCRGVFAAFGEAEK TSGEPGTLLFNSTLSAVFTNFIIRGVGLCILLFKGDDVIK >u226064 IQMDVKKQDSSHCCSHVVALCILSEYCGVPKATIDTYFEMRSCLTVKSQVPNLYRGTISW NLPSGDPFTLLANCFQALCTLALKYREMPIVCGIQKGDDVLL >u226068 FEADISQFDKSQDQLALAIEMAVYRKLGLDPEWAMRWEGAMFETRNICHAVGITIYLMHQ RKSGSVTTSIGNTIVSMVACAYPNSLDADNVKAAMFLGDDSLI >u226071 LELDCSKFDKSQGKVLLMFQELLWRKLGLDPHMGGIWNEAHRLTFISDFLNGVMFSVNYQ RKSGDATTYMGNTLVTMAMIAYLYPIERALFSVFGGDDSLV >u226084 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELMALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPRVARAFAGDDSLF >u226568 MERDLEKQDRQTDKQDLNIEYILYDLLGVHKTTLSLYRKTHSNWRMKSGPLRAFGDGMRM TGQATTALGNVEVNLMVHSRWAERNLHQLHRVYILGDDFIG >u226854 VENDFSKYDKSQQWTCLRMEWEVYALLGMDPEMLTDWRAGHVECNASSISAGVKIFSLLQ RRSGDATTALGNTIVNMLTVAATYSLRGYHYAMFLGDDSVV >u227008 TCNDFSEWDASFRTPFVKLTSWLLIASGCPRPLVNTYEKFRENWTMQYRTIWGFASLDGF EKQFSGNPFTICENTIGNMALCFSLFEYKDFQFAYFKGDDSAV >u227331 LTCDFSEFDSSQEKQGILSSCMILKFMGFEKDTINFYMARRSNWTLINQDESNNIPVKTL LDGKFMQHSGQPFTLDGNTMFNMSCMGMCFEITDLVFASFKGDDSYI >u227354 DLNDFSEFDTSQEQKTVVSSCITLRMMGANPSVLDYYRDLRSKWVLSSYNEVDNMDIMQT LEGVWLQHSGQPFTLDGNTQFNMSAIGMCYDIKGMILASFKGDDSAI >u227494 TATDFTAFDQGQTCDFLAFELKLLQFFGIPRAFIDFYEHLKLQSFCYAGALPVMRFTGEA GTFLFNTLGNMAYHALMYNWPLSAACAFTGDDSAI >u227794 RVREHPKFDKSQDEVILEFNCHLMTMLGVPEHVVVEWRRCHMNTSLVFHKFGVRVKTLYQ RKSGDVFTFMGNTVTAMAVLAYTYSLDESLVGVFGGDDSLI >u228563 SCNDFSEWDASFRTPFSKITSMLLEFMGAPNDIIRDFEEYRKSWSMIYRNKHGLTKLRGH EKQFSGNPFTICENTICNMALCFTIFDYKDMKMALFKGDDSAV >u228737 LEIDLSKFDKSQGPMFLEFELMVYKYFGVSEEFIDLWRNARTETKLIDRLHKLIAFIMFQ RKSGAADTYIGNTIVTMGIIAALYIVEQCALAMFAGDDSGL >u228762 LENDFSSYDKTQTDTTFQIEYALWRTLGVDPGLLQYWIDGHIDTYVVSSTLGVRIMLQYQ RKSGDVTTSLGNTVVNMMTVCAVYDVIMFKYAVFSGDDSLI >u228785 TCNDFSEWDASFRKPFAGITQTLLEFMGAPRDLVEYYGKFRANWVMRYQYAHGSASLRGT EKQFSGNPFTIAENTICNMAMCYTMFDYRGLELAMFKGDDSAI >u229127 LENDYTKFDQSQKAEFVHFQIHLLEYLNIPKYLIKMFVELKLGYHDDKSTIDFMILTGAF YTYIFNTLDNMAFAATKYAIPIETPQCYSGDDSVI >u229338 AITDMTAFDSLQNRFTQQIERNILSAMGITPNFIEHYYSFRNEYRIISGYSVHKAKSEKT SGEPGTLPLNTLLSSALTHYIIEGEGDFVLVGKGDDGFK >u229459 TACDYTGWDTGVDEAFSVFYRELFIRFGVPVHIADDFLADRHARRSFLGPMPAMQASGDR YTWLNNTIGNMALTALVFNPPAHAPACFSGDDMLL >u229604 VETDYSAWDSSIDAPFIKFDCWLMQQVGFPPSYISTYHQEACCTMSMKGNLRLMQHSGNR YTFLLNTLRNLALTQHTYQNIAHIPQAYGGDDSLL >u229683 VALDHSKYDKSQGRVAKYCEMRFYCDYLGLCPDLVDEWFTGQYGAELSSSAVGVRLFIEL QRRTGDATTALGNTILNFISFVTLFDGWHENVLFDGFMGDDMIR >u229776 LEGDFTAFDQSEDSSFLRFEEKLMRDCGFPDTVVTDYRQRKLDLKCRLGHLATMRFTGEV WTFLFNTTANIGFSHLKYDIPKHFSQMYGGDDKVV >u229813 TENDYTAWDSGIDQDFLRFDAWLLTSLGVSQEYVTQFVHERCSTRFFGGTLGLMQLSGDR YTFLLNTIRNMALTNAQYDSMIGRAQIYGGDDSLI >u230255 LSADFSEFDSSQEMQGVLAGNLVLKMCGVPENILKMYLEQRKNWILQSVDKSPNGGIMRA VLEGAWKQHSGQPATLVGNTIFNMMAMGACFKFEDFQFASFKGDDSLI >u230354 TINDFTAFGSSQGGESVTMDLCWFRWCGMPESLCDLYVGFKTKLLALGAIKVICRDDGEP GTYLFNSLYDIGNTAAKFSPMALWLGYWLFGGDDMAT >u230659 TCNDFSEWDASFRQAFVKLTSWLLIAAGCPRALVEEYEKFRESWVMQYRTMWGNASLHGQ EKQFSGNPFTICENTIGNMALCFTLFEYKGFQFAYFKGDDSAV >u230803 GENDYEAFDATQHVACRLLIIEMLVAHFGMPSEVARIMRAAAREKFGHTANGTYVSMEGT MASGHPDTYLTNTMMNILLQWYASECCGVRMPPIAAAGDDSVI >u231057 MMCDFTEFDSSQNEKAMIASVMMLKAMGLPSHILDQYLHRRKEWVLYVKNNTGAVDLTVY LDGVWNQHSGQPFTLGGNTQYNMSAIGMCYNFKDFQFAAFKGDDSVV >u231106 TEMDISSFDKSQLESAHIAKMTFYRMMGLHPTIAEIWDKSHVSSKARNIQTGVSIDTVFQ HKSGDATTLLGNTLMNLFVYSVAYRKIPKFMIAIGDDSLF >u231558 LENDFSQFDKSQLWTCHRLEMDFYGALGLNSEDLEKWDHGHLRAHGWSMVTLVSIWIWLQ RRTGDAATALGNTIINMLTVGYIYDITVFVCCAFIGDDSIV >u231666 VEVDFSTYDGTQSLESHLFERDELIRAGIADFPSALDVFDHQKNMRGYTGDGLVYYVPNG RNSGDPNTSCGNSLMTGATAEFVLYRVFGSTDGVHIAVMGDDNTS >u231736 LQADISKQDSSHTASLLYAFILIAKDAGCDDETLQFYLAYCRRYKFRSRGADSVTSNVSF NLGSGDPFTLIRNDIMELCIISCLYQHADSMVTVAKGDDIHG >u232459 AAGDDSIVYTGNAWYCCDASAYDQSQSFGPLKHAYKVYQLLGVPKIVIDLLEKVSKLPYR YDAKEYGSFKVDRKLRPIRDTGGPDTTLGNTINM >u232564 VSGDDSMAVKRGGWQQKGRAFLRFGEGDFSAYDQSQRAHCLTAHAVWMTALGLPKLLIDL ILWVCSMPYRARGKRVKVKGKAGCXLATGIDWTTVINSMSN >u232624 VVNDFSEFDSAQDEVSILAFAFYLRKLNFPDKIIRFYVKLRLRWNMALRSSCLGVQTITI LKGTEKKHSGEPATLDGNTWFNKAVIGVCVNIVNPYFLGFKGDDCIM >u232832 FAGDDFFALVHRDQRIGALENDFAKFDRTQGVHALGSEYRVLRALGMSPFQCKRLFKTML SSPRYESKKYELRMNLPMPPQRATGGPDTTIGNTLTN >u232842 FCADYSEWDSRFRHIFVEIMGELLIAAGCEEALVEEYVQFRKKWVMTANNYRTAGNTKLY GEEKKFSGDPFTICENTIMNMMLTFSAFEFDEIALALFKGDDSAI >u233153 MENDVSAWDSSVSVEWCQMEVRLAKWFGAPRAVIDLMTANINTHGYTTNGYKYKVPGTRK SGDPYTSLFNSVLNGCMHVFVYCLNTGKTVKEIKSSYKMLVQGDDSAI >u233284 FAGDDFFAIYWDGSKYWYYENDFSKFDRTEGVHALQSELVYMHTQGVPPTVTEAILDSLQ VKSTYQNRKMEIKYSCPMPQQRLTGGPNTTTGNSIVN >u233332 FDYYLRKQDRQTTHDLLSIEMMMYETLGVDQDVLTMWKQVHNHWNFRGKYVKGNLDAMRL TGQATTSLGNAIVNLITHWRFIKENYNKWVFTLICGDDHLT >u233397 TANDYTGWDTGVDLAFHHFHAWLLRRVGLGHRVDAYFKQAFNARTHLGPFPIQMPSGSAW TWDFNTADDFALTGASTAFPTGTPIAVAGDDSAV >u233828 RTNDFTAYDQSCVGETLNFEINLMRWLGFDEELIHNYVWLKLHTDTTFGHSAIARFTGEP GTYILNTLFNIAYTFLQYGITWGMACIFSGDDSLI >u234073 SAFDKSQLESAHMFKMMMYQDFGLHPVILELWDRSHILTLNKHFNSGTTFKFLYQHKSGD ATTLIGNTIYNAAVHAVAYRCVPEFISLVGDDSIF >u234103 VEVDFSKFDKSQGRMAFLVEREIWRILGVDEDFLQFWWETNEYSRLMDYKHGTSANVNFQ RKSGAGDTLMGNTIYGSSVLSVFKPAKIFSVFIGDDSFF >u234331 VDNDYTAFDQSQDATALFLEIELMRHFNVPSDMIELYYWLKTETRSWLGPFGIMRFTGEW STFLFNTLFSIAYSHTKYSFPPGMLQCYGGDDSRS >u234352 AWNDFSAYDQGQDASFLAMETQLMERLGIPAPEVSFYIWLKTNTFSRLGSFAIVRFTGEV FTFIFNSLANMAISNLRFNLTGERRAMAFGGDDSVF >u234438 FKSDGTSFDQGCRGGSMAFEVSLLHFFEIPSELIDFYVEDKIDQATKSFIIGLMRLTGEI FTFIFNLLFQIARTYVRYHVPRGTPRMFAGDDVDI >u234462 TETDYTAWDSSIDGPFIKFDCWLMGQLSFPEEYIATYRSEACSTTARGKNLRLMQHSGNR YTFLFNSIRNLALTQATYADIANVPQAFGGDDSII >u234818 LENDFTAFDQSQNAEFLWFEIFKMRHFNYPESEISLYVETKLNTVLYLGVLKIMRLTGEG PTFDFNSDGGKAATALKYDLGPDAVLGNSGDDTVL >u234842 IESDAKNNDGSQSKEFRKYEALWYRRHGAPLWFVQEFARNTSVTVWTRYGVQARVDGQRW SGESTTTTGNSYVHMALMLAAAERASVVDSVHIHGGDDFLG >u234926 TEIDMKKYDKSQDEICLYFECLMFSYFGMDPELVTMWYEIHKTSVLYDRANKIKTFCVCQ RKSGDAATFFGNTMVLMMLIMTVYDIENCELAMFAGDDSII >u235061 YELDISQYDKNQQHTALLFDCKVFAELGVPRELVSLWYSAHVVTWIVNKSIKLKKLVYFQ RKSGDAYTFMGNTMYNLGALCNHLKRDFIHFPLVLVAGDDSLI >u235136 RSNDFTAFDASQTAQVLLFEVYMLRAFSIPEAEIEYYVELKLDAYCRYGHLAVMRFSGEF STFLFNSTMNMAYLACHYNLTDEPLVVAGDDSSI >u235287 FTCDFTAYDQSCTEETLSFELAFMEYCGIPTSLVALYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u235314 QIIDFSTFDSQQNQVTLEIEKQLALLMGMNPGQVEAYYTVRDNHKVKMNRVFKGRMNGEK GSGFLDTKSGNTSLSTSLAAHVLRGKGPEVLAAKGDDILY >u235343 AIADAKSFDSQQSPLTLEIERQFMKRLGANMPSLEQYYQIRNPMEFRAFNLFSGKTRGEK GSGFPDTLLGNTILQTCLSTYVFEGMGPMVVAAKGDDHLR >u235393 TDNDMKEYDTSQSEITIENEIKWLRRMGCNELFVKLFKQHRIEWKTSYPGYCQLIGYAKK HSGEPFTIDFNALLCMALNGLLFPLEHFVFAAFKGDDSEI >u235543 FSNDFKAYDQSQDQKVLAFEVRLMKFLDIPKELIDEYVFIKLNSKAFVGPLQTMRFTGEW CTLIFNTFMNMAYMNLKYKIPRGMPCAFAGDDSIF >u235790 TINDFTAFGSSQGGESVTMDLCWFRWCSMPESLCDLYVGFKTTLLALGAIKAICRDDGEP GTYLFNSLYDIGNTAAKFSPMALWLGYWLFGGDDMAT >u235914 STNDYTAFDQSQTGEALSFELMMLRAFGLPDGVISYYTELKLDLTCQFGELAVMRFTGEG PTLWFNGCFNTALVGVQYDFPADTAVAVAGDDLAM >u235961 GVTDYKMFDAQQDEFTQQIEKEFFHMLGFSERFTTEYYRLRKNYNMQAGPMSGKARTEKT SGEPATLLGNSVLGGVVMNYIFRGEGPCAMAIKGDDGFK >u236017 VECDFSKFDKSQSVLAVWCTVAILKRFKASDAVINKWLNSHLNNVVTSYAHGFRATLGSQ RPSGDVFTFLANSIYTICALTYATKGKYVGLMVGGDDSVM >u236076 FENDFTKFDSSQGGAFVSLETHVMAHYGVPREWIEEYVYLKSHTLSAHGWLSIMRFTGEA TTFDFNTLACIAFTHLKYEVPHGVAEAHAGDDLAL >u236579 FENDLSKQDAYTDGHMLKIEMFIYKKLGLNEILVDTWSKMHDKWLWRSNKSKGFNNYKRL TGQATTALGNVIVNMIIHVSLFNKFNIVPTFYLMLGDDALV >u236590 VETDFSKFDKSQQEFCLRTELMMMTALGLAPSLVQAWRHFHAITSATDYGVGIRARFIYQ RKTGDSYTCFGNTIINMSAIASCLDLSHLICASFVGDDSLM >u236636 KELDFSKYDKSQDAAMLEFECNFMSFFGVASWLVETWRTAHRRGRFRDYNNGIRADVEYQ RRSGDAATYLGNTIFLMAVIAAVVDVDDMEF >u236775 HTSDVTRWDYGCDAGVLNFDEHIMLRCGFPGDYVQAYVDRRLETRTQHGVVQTTQPSGDR YTWTLNSIRRAVVASILHKIRPEDTVAINGDDEAM >u236863 AECDWTQMDSVQNKFTQEIERQFLVLMGVDQAFLDHYYRFRCGPRIIAAGVYGRGGTEKT SGEPGTLLLNTVLALCITLWALDWEGPVVGAFKGDDSVI >u237294 FANDYTAWDSGRNEAFLLLDLHIMRFCGVPRTYRDTYTHEKLHTRSYLGPVGVMQHSGDR YTKLFNTYSNIALTHLSRLIPLGTPQAFCGDDSIL >u237628 MENDFSKYDKSQQWRALYTEWGLYELLGLHIVDLDRWCRGHRIRTVVSPELGLLIIALLQ RCSGDATTTLGNTVVNMISVADVYEIDRFYLAFFIGDDSVL >u238299 FTNDFTAYDQSCTGEAMQFELAMMRYFGFPEEIVSYYFWQKTTLTTNFGPSAIMRFTGEP GTYIFNSLFNLAYMLLKYQCEATPSIYSGDDSLL >u238550 TENDYEAYDQSQTEECLDFELRLLREFNIPEELIEFYVFLKTHAFTNLGQLDIMRLTGEW CTFLFNTYNNIAYTSLKFVEFQGPVEERPASAFGGDDMIV >u238562 IESDAKNNDGSQSKEFRKYEAMFYLKLGAPEWFVREFARTTKVRVWTRYGVAATVEGQRW SGETTTTTGNSYVHMALMQASMEEAQVKESTNIHGGDDYLG >u238565 FECDFTSFDSSQNEISVMLEIEIFERMCPELIGTELIEMYRQMRLNWVASNEYVKWHGSG VKCSGEPATLLGNTMVNMLIIISSFVFEGVKFCLFKGDDSLI >u238584 TTNDYTAFDQSQTGEALAFEIVKLTAFGVPGPVIAYYIDLKLNLTCQFGELAVMRFTGEG PTLLANSDFNAAVLGCQYDNIALFAVAVAGDDCAI >u238777 TENDYEAYDQSQTEEALDFELRLMRFFNIPNEFLEFYVFLKTNAITNLGQLSIMRLTGEW CTFLFNTYYNIAYTALKFYDYHGKPEDMPPSAFGGDDMVV >u238862 TSSDYVAYDTTQDESNLHMELALMQHLGFPAKVLDGYRDMKLYMQHRVGNLAVMRFTGEV FTFIFNTLGNIAYTHLKYTIPPGTLQCYGGDDKII >u238930 YEDDYTGFDGTQNEDFLAFQVLFMRALDIPGPIIADYVNWVTHLRCMLGPLGVMIASGFK PTWFFNTLDSMAYQALKHDLTPHRTPGIKPVARSFSGDDTLH >u238979 TTSDYTGFDRSQRGESIGLEVRLMQHFQLDQSWLLAFDSWRGQHDSVVDLYLDWKLNTVS NLVGRKRAGRDTGEPGTYDFNTYFNLALIQLMYDPPPGLPIAVGGDDMAA >u238980 MSIDLSQQDSSHVNVHRFFIAKVLTFLGFDDTIVSLYLMSRARRFCKGLTMLGLLFEVIE RLFSGEPGTALFNYLMSTGTSVCTFDFSKFILFLGKGDDNSI >u239092 AENDFSQFDSMQCHTTVEMMCRLYALCGMPKELLTIYRHMRAKWVMNTRSAGIKMEGEAK KHSGAPDTLLENTVLNMALNNYVLDMRELSIAFYQGDDFMA >u239418 TEDDLEKQDRQTDHPLLSCERLISRAMGVDESVLETWALIHELWTYKGNDRLQSTLHAMR LSGQATTAYGNAITNLVLHSRLVERHYSQIELILLLGDDFLM >u239494 LEIDQEKFDKSQTRECFEVEMYFLEKLGLDKELLTIWGDGHESSTAINFANGIKCYFVYQ RKTGDAMTCFGNTLISMAAMATVFDLKGSEASYFVGDDSFI >u239533 QEDDLTKXDRQTTMEHIEIEMKIYEDLGADPDFIRFWMTMHXKWRFYSCEARGKLNGMRI TGQATTAIGNAIVNFIVHMKFIQDNRYNINWMIVVGDDNLI >u239534 FENDFTAFDQSQNSDFLWFEIFLMQQYSVPERVIQFYKKTKLKLSVKKRNIRTGRGTGEG PTFTFNSFASYAFTALKYNTTPADLLVVSGDDTLA >u239549 FESDMTGFDSAQDENPLAMELLFMEHLGVPPQLRTFYERTKLDTKLGRHVLAIARDSGEI FTWLFNTLHTIARRHLKSFIPPKTPQAYGGDDEAH >u239563 STNVYTAFDQSQTGEAVSLELTNLRAHHIPDEVIEYYIDLKLNLCCQFGELAVMRFTGEG PTLKFNSDFNAALIGVQYDFPDDMARAVAGDDMAL >u239613 IEVDFSAFDKSQQEVCHDIKILMYRMLGLPARLCDLWDRFHRITRSYGYLAGVSFDTFFQ QKSGDASTALGNTIVSLVATADSLKFKRCAVAAFLGDDSIV >u239747 GTNDYSAFDQSQTGEALSLEVVKMRVFNIPEHVIHYYEELKLILTCQFGSLAVMRFTGEG PTLLFNSDFNTALIGCQYEMPPDTPLMVAGDDSAI >u239855 VSGDDSLIIRMNADGSIDFVEGDASMFDQSQGTGPLMFELKMLYLLGVDQETISILSESF GSTYVAKSRDRARSVKIKRKGVRYMRDTGGPTTSFGNSVVM >u240037 LELDIGKFDKSQDETMLEAQLALFRIFGMEEWMIGLWRVFHQLCRLSVPKWGLRYKVGFQ RRSGDPLTWFGNTLVLLMILAYLYDLEDAFMVLLGGDDNIC >u240628 LEIDMSQYDKSQQRMCYLLEMAFYLHLGLCPLFMEKWTSACLRANLRADSISLFLDYQRR SGNAPTTLGNTAISMLTVADSYDLHLADIVQAMFVGDDSAI >u240794 LEVDFSKFDKSQERMILMIVLALFRRFNIPEEFIENWDKCHQLTKLIFHIIGIMLIASHQ RRSGDVGTFILNTVVAMVAMSMSYSLILAIGGIFGGDDMII >u241498 TENDFGEFDSTQNELMPIVCTEYVQSVCGTADSILHTYINHLMEWKVVIDGLLTILNKNQ KHSGEAATLLFNTIWNAAWCGVIMNVDELVVALFKGDDSLV >u241657 VCGDDSLMVIRTESGTVIYEGDASMFDQSQSFGPLNESYDIYTLLGVSMEVLVLLMKLAS NDYVAYSKFHPEQRLKINKSGRAMRDTGGSDTTLGNSVVM >u241943 LQIDLTRQDSTHRPAHVLAYAMFLEFCNVPQEVCNLYVMMRSMAYVKSLAEGLYKAIIKW NLGSGDPFTLNANCFMMKSTMAVRYTGLEYCAGIQKGDDFIC >u243395 LEIDFSKFDKSXEEDLLLAXCYIMXRCDIPLDIIXQWFKCHIYTILNFQRIGLKFDIAFX RKSGDVFTFIGNTIVSMLILCNTYNIXDIIGGIFAGDDSLX >u243539 VDNDFTEYDASQNSSTIEFETLILEDLGVVSEVIELYQERRSKWKTYYPGYASFEGVEKK HSGEPFTIDFNTSLNMAICGYIYDFDDLVVAQFKGDDSNI >u243715 GENDYEAFDATQHVACRLLIIEMLVTHFGMRPEVARLMRAAAEEKFGHTTNGTFVSMEGT MASGHPDTYLTNTMMNILLQWYASECCGVLMPPIAAAGDDSVI >u243762 RSSDLAQQDRQTDDYLIATELELYNRMGMMKETLDLWRKTHEDWFYKGLSVKGRRNHMRL SGQASTSIGNTITNLIVHSRMMLANKDNVQLAMLLGDDIIV >u244039 VENDFSAYDKSQDDACLELEMLFLRRLGVPADLIDMWETGHIFTRIRAYDSGFTLWTMYQ RKSGDVTTSFGNTLINMIAVACSYFPTPQSCWDDIIYAWFLGDDSTR >u244079 TINDYTAFGASQGGESLQMDTMWYAWCGMPESLIARYVELKTQLRVGGGVKVISRDDGEA DTYNGNCRYNIALCAARFGVEAMWRGCWWVAGDDMVV >u244888 IELDLSKQDRQTDNDILEFETYMVYALTGNRNFSNYLDEARTGFTVKTQSKHLFHRPGMR WTGGEITALGNNIRNWLCIGDIAKHYDISYVITLGDDSLI >u244953 LELDISKFDKSQDGTMLEAQCKILLIFGVSQSVVDLWRAFHQICKLSAPRYGVSYSVKYQ RRSGDALTWLGNTMVLLMIVAYLYPIEKSFMTLLAGDDNLM >u245159 YENDLAKQDRQTEDALISFELYFYEKMGVSKQMIDWWASVHGVWKFKSSTSSGVRKSMRH TGSVTTALGNLITNMRSNIDFLRDNDSTLELVLMLGDDHLS >u245179 IECDESRYDAHQGEGAYTNQMNVYRKFGIDEYNQAAKSMESMIRIKGYSQKGVAYRVPYT MTSGSATTSVGNTINNATTLTFAITSIMPKLKYKMIVHGDDSLV >u245242 LTADFSEFDSSQEMQGILAGATYFRLCGVPEHVIDRYLDQRRKWLMVAVDKDDSTMMRAM LEGAWKQHSGQPDTLNGNTTFNMAAMGACYDVENLQFASFKGDDSII >u245847 VENDFSKFDKSQLWVALRMEWYVYAQLGLDPCLLKLWAGGHMTTTAASVAAGVKIVLELQ RKSGDATTALGNTIVNMLSVADTYDIDEFYYAMFIGDDSVI >u245938 LEIDFSKFDKSQDELTLEANIELMRMFGVPKTILEEWEACHTSTKLVFQRWGIKLETAFQ RKSGDVFTFTGNTITSMQALAFVYDLTEIVMGVFGGDDSII >u246161 STCDFTKYDMSCKAETLSFELCLFSYFGLDVIFPDLVNDYFYIKTHMYTQLGTSGIMRFT GEFGTYDFNSWYNIAYMAFRFKLNPLDTRGSAFSGDDSIF >u247937 TEDDLEQQDKQTDGEDIALEMLWYSHIGVSKVVLDSWLRVHRSWRAKGKFLTFMGDFMRL TGQATTALGNFIINAFIHAELVKTLGSRAKLVMFLGDDNLI >u248031 LEGDWTEFDSSQNNVEHQLFMLQLEAIGCPQELRDMFLAMMTRRTVHAPYASLNVESKKD SGRVDTLIGNTTFNAAVMLTLVDPETVDHVFFKGDDSLI >u248486 LELDISKYDKSQEGTVLDAQCKVLKAFGLDDTVVEMWRQFHEVCKLSSPNYGLSYSIKYQ RRSGDALTWLGNTMVLLMIVAYLYPIEKAYMVLLAGDDNSM >u248585 IEMDLKKQDRQTDMHELENEFILMTALGFPSYLMPLWRQYNKSWRYKASDGTTSQQTGKR KTGDEMTSLGNTFKNMSGLVEPFNKYKTERILILSDDMIA >u248786 LMNDFSSFDGTQSIRALALVYKFYELCGVPIDVVDIMRRDLHDIEVKTSQGIEFVAGGFR FSGRSDTLLGNTILNIIIMHHACGGHLTKFIVKGDDSVI >u248964 VACDFSEFDTTQEFNGVYTCATFQAMGWFNPKAVGLMMKQRSAWTMKLMVGNEEVTSYAF LNGEWQQHSGQVATLESNGFYNMAALGLVMKITDLKFASFKGDDSLI >u249150 LESDLSKQDRQVDEYMLGLHFNIYLLFGVDRSIINLWSAMHKNWSFRGVDVMGYLSGYQH TGGSNTGIGNLLTNLIVHADLANDLGPQLEYCIMLGDDNNM >u249541 LELDISKFDKSQDETMLDAQCKIFKIFGMDEWLVELWRAFHELSKLTFPTWGARFTVGYQ RRSGDALTWFGNTLVLLMILAYLYPIEKSYMSILGGDDNIT >u249567 YEDDLSKQDRQTDKQNIEFQQQMLILLGVHPQVVRLWSYTYSLWRFKSKQTWGWQMYQRA TGSALTALGNVLTNINVHADLIADNMPNIRLVLCLGDDHCT >u249769 LEMDMGKFDKSQGLTSLIFECEMFRRAGMPVWMINLWFLPHLLIRVKGFGTSIRFTLPHQ RRSGDPWTFGGNTFFLLAILLDLCKGRINYLMVSGDDSVV >u249937 LENDFSKFDKSQQWTTFHIEMRFYELLGLHPVLLDMWKRGHVATTVTSFSGGLHGDIPYQ RKSGDATTSLGNTLVNMVTVSYVYDLPVFDYAMFLGDDSLV >u250025 LEIDFSKFDKSQARMCHLFEMFFWEQLGMDQYLNGLWRAGHYTTSALDFSTGVKAFFLYQ RKSGDAATAFGNTLVAMVSLARAADVSGFATAMFVGDDSLL >u250167 QEVDVSKFDKSQEQLSLEIQTEIMKRFGSPDYLLNMWFHCHTMTTLVIQSHGIKVKTRYQ RKSGDVTTFIGNTIVTMAALAYVYDYTKAYGGLFGGDDSLV >u250272 TYTDYTGWDTGVDESFTILYSETMIRFGIPARIAKKFAEDRHSRRSFMGPMPAMQASGDR YTWLNNTIGNMALTGISFDIDSSTVAAFSGDDMIL >u250374 VEVDYSKFDKSQGEAILLFECLLFNWLGMPQQFIEHYYRSHSESFVRCSTTGFSATTQYQ RKSGDPWTFHGNSIVTLATIVHALAGYSVVGVVAYGDDSIV >u250696 LEIDFSKFDKSXEEDLLLAXCYLMERFGIPRDIILSWFKCHIYTILNFXXVGLKFSVAFX RKSGDVFTFIGNTIVSMLILCNTYEIXDIIGGIFAGADSLX >u250964 ADCDTSHFDSSARGEAVVLTERWLRRYGIPEHLILEYRNDKLSFHTKQLWIGIMTLSGEI FTWLTNTLKNWGVEALKYDMKPGQPLASNGDDKLR >u252452 AENDMEEYDTSQNEITIENECRMLKRLGCNDLYIALFKKHRTSWTTTYNGYCSFTGYAKK HSGEPFTLDFNTWLCMCLNGLLFPLEDFVYAGFKGDDSDI >u252501 TTNDFTQFDCSQGAEALWREIHAMRLFSIPEWLIALYVHQKLTLTHQFWVSLIIRFTGEP GTYRFNTDFSAAQLQLQYNLPPGTPCVISGDDILI >u252579 TEIDLSAFDKSQLEAAHTFKMNLYADLGMDCRLLEAWSEGHKYTTNRHKNSGASFGILYQ HKSGDATTLFGNTLVNLAMYAVSHDVTPDFMVAVGDDSLF >u252841 YELDIEKQDSSHRAVHVLVAAEFLRMAADKLGLDTIATEIRTMRSVKMMNGPFSFILALA LASGDPWTLIINKIMAISCLVSVAKLKDVRMQQSGDDVTL >u253006 VENDMSSFDSSQSQFALSQVYKFYRDCGVPDEVVEYLEKDLEPTEVETSVGIKFKGKNFR FSGRGDTLLGNTVLNLLIMSNAYPHVRKMIVKGDDSVV >u253216 TESDYTLFDSSQNGRGVAFEELKMEYFRLPCADIDFYVELKLTSESFLGTLPVMRFSGDV NTLLGNSDFTIAIMNLRFRIGCCLRLGRNVLHCGDDFAC >u253489 AISDAKSFDSQQSEVTLEIEKQFLMKLGVNADILAQYHEIRKPQVFRSINYFSGHTNGEK GSGFPDTLLGNTILQTCLSSYIFEGVGPMVIAAKGDDHLR >u253525 TEVDFAKYDKSQTHNIYLLEEKILLALGMPKELIPLWRYANCHSRLINFKNKFRGSVNWQ RKSGTAFTYFGNTILCMAMLAYSMNLKDVIVLFSGDDSLI >u253700 GENDFTEFDSTQNQLMPAVCTEILQYYSGISHALSNTYTQQLAKRMIDIPGVMKILVEWM KDSGEVATLLFNTTWNTIWVSFILDIKGILLGAFKGDDSAI >u254109 LEIDYSRFDRSQGVGCLCIELEMFERLGLDQVILDMWEYAHRRTDLMSYKNGIRAFIAFQ RKTGDAATAFGNSLISMAAMAAAVRAKERSQLVCASFLGDDSLA >u254183 FEDDAEKQDRQTTQELIDIEYLIYNMLGLSDKCAMMFRETHNNWKAYSSTFRIYGDAMRN TGSATTALGNVVVNMITHCDLISAHLSCLKLCTFLGDDHHG >u254355 TATDYVAWDVGCDAPFQLFDESLMRRVGLPEGFIAHYRHRKLHSRTFKGPLPIMQCSGDR WTWVLNTYRNVALTHVRYVVPPGSAEMYSGDDMAV >u254610 VEVDYSKFDKSQGEAILLFECLLFNWLGMPQQFIEHHYRSHSESFVRCSTTGFSATTQYQ RKSGDPWTFHGNSIVTLATIVHALAGYSVVGVVAYGDASIV >u254650 VAGDDSLIVINHNHTVEYIEGDASMFDQSQSRGPLEYEYKVLSILGVSTRGIDVLRQITR APYRISYKTCKGHIDRSHRPTRDTGGPDTSLGNSIVM >u255625 FSDDLSKQDRQTDDDIIKVELVMYELLGMNSSLLKWWCTVHDKWRWKSDVVRGWQHSKRQ SGSVTTALGNVITNMQVRHRLYKRNKNKIEMMLMLGDDNIM >u255661 TVCDYTGWDSGVNESFSLLYHRVMTTFGVPIEVADRFVHERHSLRSFMGPIPAMQASGDR FTWLHNTIGNMAITGFFYPSAGSVSACFSGDDMVL >u255930 TATDYTAWDTGCDEAFLGFDCWLMKRCGLPLWFVSEYARGKVSTRCFAGEIPTMQFSGDR WTWLLNTHRNIAITAVRYRPRPLTPCAFSGDDMIL >u255962 FVFDVSKYDKSQEAVWLDAQCIVFKLLGMCDQMIDLWRVLHEMCILTAPKFGATYRVGYQ RRSGDALTWFGNTLVLLMMMAYLYPIEEAHMVLLGGDDNVT >u256054 LEIDFSKFDKSQDDLTLEMNCELMKRFGVPEHIINEWEECHVSTTLVFQNFGIKVETLFQ RKSGDVFTFMGNTVTAMIALAYVYDLTEVYLAVFGGDDSII >u256489 FESDMTGFDAAQDENPLAMELEFMKFFGVPADLVHFYEQSKLNTTMGKLVLAIARDSGEI FTWLFNTLHTIARRHTKSEVPRSAPQGYGGDDEVH >u256973 IESDISKQDMSTKLQLIRVEFEIYHALGIDSNVLSTYFDLHELWQYRGRTSRGWLEGQRK TGEPTTALGNVIVAMIAGRRCIQSQMRLGLFIFNARIGDDSID >u257009 IEMDLKKQDRQTDMHELENEFVLMTALGFPSYLMPLWRAYNESWRYKASDMTESWQVGKR KTGDEMTSLGNTFKNMSGIAEPFVKYNTERVLILSDDMIA >u257086 WESDMSYFDSSQNGEWVAAEMAMMEFMNFPKEVRDEYAWLKTNTSCFKGWLRIMRFTGEA FTFIFNTCATIAHGAVKYNLDVNVPRCNAGDDEAY >u257726 FSTDAKKFDRQXNHWLLDFEYMIYDILGMDVKVQQLLRNSHNNWKWSSGEMXGIMDSMRL TGQSTTALGNLIVNMCIHSIFLNKNXXITTCVIMLGDDNVI >u257876 LLTDFAEFDTSQEMMSVLAAEIILRSVGFNQDILAFYRQKRSEWTMINHGEEFGVPLMIL LSGVWNQHSGQPFTLSGNTLFNMAAIGMCYNIEEMACAAFKGDDAIV >u257920 LELDIGKFDKSQDETMLDAQCALFQVFGMDVGLIELWRAYHELCKLSSPKWGASFWVAHQ RRSGDPLTWFGNTLVLLMILAYLYPIDEAYLVLVGGDDNFC >u257952 VQMDVSAQDSSHTPALIDAMCKLAVFFGVPKDTMDLYYESRSYIKIKSMAPGLYTGFQCD NLPSGDPFTLIANMFQMLMTVACNFTGLDKAIVLQKGDDLAT >u258267 MMADFTEFDSSQEEKGILSSAVAFKNLGFDEKIIDFYVKMRKEWTLYNVADSGGMHYSFK LQGEWMQHSGQPMTLDGNTLFNMSAIGLCYNFKDLVMAAFKGDDSFI >u258287 LENDYSSFEATVSTAALALEFYVYRKFMGLSKKEERVFRKQFHQRIFSKYGHKASRKGGR ASGVGNTSCGNTVINVCLTLIAMEHCLDEKKPLGEQIFLLALGDDSLL >u258310 LMCDFSEFDSSQEEVGILASTVILRSIGIPDKQLGFYTDLRRKWKLASIDSNLNSTIMTT LTGKWMQHSGQPFTLDGNTMFNMCAIGMCYDIEDLVFAGFKGDDSII >u258938 FEADLEKQDRQTNDSIFDVECEIYKRLGMNGETLTLWRSMKSNWYLKSQHVRTTLNIKRC TGEPTTALGNMINNLLVNWRFIRDNETFLDINLFLGDDFLA >u259352 TCNDFSEWDASFRTPFSKVTSYLLKCMGAPKALIDNFETYRKSWSMTYQNKIGRATLKGF EKQFSGNPFTICENTIGNMALCFAIFDYKNFKFAMFKGDDSAV >u259785 LELDISKFDKSQDDMALDLQCRIFVQFGMPSGLVNRYRQEHVKNKIKFRALGLTLTTFFQ RRSGDVFTLLGNTLVTMFSAAYCYDLKNAAGGVFVGDESLI >u259958 STCDYESYDKTQNEDFLNFQIQLMEHLNFPKELIDLAIAYKLTVNFDGKHLQVAIYSGEK WTFDFNTMDNIAFTYLKFGFRGPYPKDRPLELYGGDDNAL >u260062 GVTDFEMYDSQQDEFSQQIEKETLKLLGVDQSFLDHYFSFRQGGKLLASGISGRLGTEKT SGEPMTLLGNSVISMVLANWILRGDGPFVMAVKGDDGFK >u260093 VAGDDFFCIYIESEVNVVNFVENDFSSFDRTQGVHALEAKALCYTALGVSACKRDFLFEA ILTDPIYENSRFELKEKIRMPPQCATGGPDTTLGNTVLN >u260165 LEVDFSKYDKSQMFETYSLEEELFRRLGFDSYYAFIWIEGYILSTAASFTLGVRIILFFQ RESGTQTTSFGNTIVSMITVVWTFKLGDEQWIAMAFIGDDSIL >u260450 YEDDYTGFDGTQNEEFLTFQVLVYQACGIPDSIIEDYVKWDTHITTAMGDLGVVIPSGLK QTWLNNTLDNMAFQALKHNLTPHTELKRVARAFSGDDSAH >u260459 GISDAVMFDASQDEFTQAIEKIHLSKLGMSPEAIAIYYSFREKYRVYAEGFSGDVEYSKT SGEPGTLLNNSLVASSTTNYVFRGRGPAAIALKGDDGYK >u260475 TINDFSAFDSTQGGESVQLELCVLKWARVPESIVDGYPAWKSTIVTQWAGIKTVSRDSGE PGTFDGNTWYSMANCALKFGPIALQRGCWCFGGDDMAT >u260678 CENDYTQYDRCQNGEFLNFEICLMKHYCIPSYLLDFYVNNKIGLHSFVGHHATQRGTGEG PTFDANTDCNIAIDSLKFEIPKGTPAAYAGDDMGR >u260684 AENDFSQFEGSQRIELFDEVQFECFIQLMEPWLLEIDPLYEEKLHKHGWTLRGLWYYLYA LMASGDFETGAFNTIFNMVSCRYFEIVHGFGNFNFIVDGDDSVI >u260763 VENDFTEYDASQNTLTVQFESDILLLVCQNPELAELYREHRTHWTTIMPGVVVMKGYAKK HSGEPFTLDFNTLLNIAICGMIYDIDELVVALFKGDDSLI >u260966 VAGDDFFAIIHDKNGIRFFENDFSKYDRTQGVHAQDAERQILLLLGMSEYVAFTLFSTAN LQPRYESKRLDFHQIMKMPPQRATGAPDTTIGNTINN >u261210 TACDYTGWDTGVDESFTLFYADLFARFGVPKDVAERFISDRHNRRTFLGPLPAMQASGDR YTWLCNTIGNMALTSLSFGIKRGQPCAFSGDDMIL >u261259 IANDFTRFDSTQTTPLLNLIIECFELTNMPPEVIELLRRDVDVGTSVSTKFLDYVVRGVR MSGRGETLSGNTIANLIIVIYAFDDLIRMAIFKGDDAVL >u261280 IESDMKNNDGSQSAEFRRPEAMFYRKLGAPDWFVREFAKTTSIRVWTRYGVTAQVDGERW SGETSTTTGNSYVSMALMQQALSVAGVEKSTNIHGGDDYLG >u261469 TATDYTGWDTGVDEAFTEFYRKVFVQFGVPPSVARKFAEVRHSRRTFLGPLPAMQASGDR YTWLCNTMGNIAVTYLTHDIPASTPACFSGDDMIL >u261673 VAGDDVLACVKRPRHKAIWIENDATMFDQSQSIGPLLYEGDFLRLLGVPDNVVDLLWHSY HSKLVAKHPKTEYSLSVNRSKRPIRDTGGPMTTLGNGIVM >u261783 TANDYTAFDASQGYDSVLLECHVMRLAGLPDALVDNYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKIDCLALFGGDDSAI >u261983 TANDYTAFDASQGYDSVLLECHVMRLAGLPDSLVDSYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLSCMALFGGDDSAI >u262068 FTCDFTAYDQSCTEETLSFEICFMDYCKIPTDLIDLYRWIKLNMRTQFGFTAIMRFTGEF GTYDFNTFWNMAYMTLRYKPRKDMACCYSGDDSLF >u262139 TENDYEAFDQSQVEEQLAFECRILKNFSIPEELIEFYVFLKLNAKVEDKLLDIMRLTGEW CTFLFNTLSNLAYLGVRFNEFRKPNHNIPLAVGGDDMVA >u262197 VSGDDSVVVVRYKGLTSCYEGDASMYDQSQSFGPLAFERKVLKAFGVDDSVLLLLKTLSE NDYLLLNRNRDSRILIDKMNRALRDTGGSNTSFGNGVVM >u262445 TEIDLSKQDRQTDKPILEEHIHMLRDVGMPENMINIIKSLAEPVNILTANKIMSHRPPFH LSGGEMTSLGNELRNLYLLAEIASNYKTRMIYTLGDDSII >u262449 ITSDLKKQDRQTDKEILEVEMNLFLLMGISPEVIIIWSMMHEDWRWVARQSTGYRHVMRH TGAPTTAIGNAITDLQVNTLVVEELMGDINWAVFLGDDNDI >u262560 KETDYERYDQSQREEFLRAEVMLMQLFNLPKEDVDLYLESKFNARVFLGELDIMRLSGEW CTFLFNTLGNIAYQHLRYKIPPGTAQIYAGDDSCI >u262714 VSSDLKKQDRQTDSYMLEVEMNLMLLLGVNPWVVKLWSSMHSNWRWMSKQCKGWRNMMRQ TGSVTTAIGNLITDLQVNCETIESLSEVKFVIMLGDDNTM >u263110 LELDCSKFDKSQGKVLLMFQELLWRKLGLDPHMGGIWNEAHRLTFISDFLNGVMFTVNYQ RKSGDATTYMGNTLVTMAMIAYLYPIEKALFSVFGGDDSLV >u263172 TEIDYTAWDKGVDGKFLTFDLWMMRWFGFPTYYISFFLYCRLNSSYFGGTIGLMQLSGDR FTFLFNTLHNMLLTFLLYVLPLTVFIMFAGDDVLI >u263215 VSGDDSLIVGNYKGKLYVFEGDASMYDQSESTGPLTVGWMMCQRFGANKETIEILSTLAH NTYIVEPKKREDGEYYRINKKKRPLRDTGGADTSVGNSIVM >u263328 TCNDFSEWDASFRKAFAKLTSFINRAMGMPEHAVDWFERNRENWTMIYRNALGATILKGK EKQFSGNPYTIAENTVCNMALCFALFEFKGMSIAMFKGDDSAV >u263334 FTCDFTAYDQSCTSEVLGFELAFMDYCGIPQELLALYEEIKVDMFTEFGHSAVMRFTGEF GTFDFNTFWNMAYMELRYRPDPKIARAFAGDDSLF >u263758 FENDFGKFDKSQFDETYSIEEQVFKMLGLDALIAHMWANSYTEKQIRVVEHAIKLVLYYQ RNSGTVTTGLGNLIVNLFCTVFAACIKRNDYRAIYAVGDDSLF >u263862 TCNDFSECDASFRTPFVKLTSWLLIASGCPRNLVNTYEKFRESWTMQYRTIWGFASLDGF EKQFSGNPFTICENTIGNMALCFSLFEYKDFQFAYFKGDDSAV >u263889 VEIDHSKYDKSQQWTALRIEWFLYQKLGLDMDLCDVWKAGAVDCVMQSTQLGIKLWSILQ RRSGTATTALGNSMVTLFTLGASTDFPHGFYYVLFLGDDSLV >u264125 LEIDYSKFDKSQDDLILETNCLLMSKLGVPEHVVEEWRDCHISTQLSFLDWGIKINTLYQ RKSGDVFTFMGNTVTSMLTLSYVYDLSQCIMCIFGGDDSLI >u264276 VENDFSKYDKSQQEFCLMLEWAFYELLGFGLEELEMWRRGNMDSSVIDMSLGLAFYLMWQ RRSGAQPTLLGNILVNMFSVADTYDIEPELMEAAAFVGDDSII >u264637 TEIDMKKYDKSQDELVLKFEIEMFRYLGLDDYLCDLWYDMHKTSRLYDRSNKIRVECVCQ RKSGDAATFFGNTMFLMVVLMTVIKMEDVILAMFAGDDSIV >u264797 IMADFSEFDSSQEEQGTMASIVMMKQLGMPQNIMDKYQEMRHKWKLRSITDESYIMLSGE WKQHSGQVFTLAGNTLFNMLIMGAVYQYDHIVVAAFKGDDSLI >u265075 LEVDFSKFDKSQERMILMIVLALFRRFNIPEEFIENWDKCHQLTKLIFHIIGIMLIASHQ RRSGDVGTFILNTVVAMVAMSMSYSLLLAIGGIFGGDDMII >u265382 VSGDDSLVAVWNGAEWDWYEADATMYDQSESLGPLLSEYRALRALGVTSDVVAILHQLAH AKYVVRGEGWSLNIDRTARPMRDTGGADTSMGNSIVM >u265402 FANDFSEFDSAQDEISILAFAAFLSMLGFNEKCIKLYVNLRLKWVMALRGSSLQHETITT LKGVFKKHSGEPATLCGNTWFNRAVTCLCVTFLNPYICAFKGDDSLI >u266106 IEVDFSKFDKSQHRTALFLETLLMQDLGLPADWAALWYRMHTQSVCCGLRHGIKFYCMFQ RRSGDAMTMLGNTFINMAALAHSIPQKGFVCGAYSGDDSFE >u266174 VENDFSEFDSSQNNLEHENFLATMRLLGCPEILLEPFSAMMKQRVVTDGPNTVVVKSKKD SGRVDTLVGNTLFNLCVLLSLLDEVKSDVRAVFVKGDDSLL >u266488 LTCDFSEFDSSQEKQGILSSCMILKMMGFNKDTISFYMDKRSKWTLLNQDQIDNMPVRTV LDGEYMQHSGQPFTLDGNTMFNMSCMGMCFEFQDLIFASFKGDDSYI >u266551 VAGDDFYALAVRNGKIVALENDFSSMDRTQGVHALEAEARILQTLGIPEEKTKILFDTML KNPVYKAEKLGVKIKLQMPPQRATGAPDTTIGNTIIN >u266625 YESDMSKYDRQQDMNLISIEMAIYKLLGADEHLINWYSKVHVRWMYKSQYSKGYLKAMRL TGQPTTALGNAVVNMILFYTIFRFEKNIINMLIIMGDDNVA >u266878 GTNDYSAFDQSQTGEALSLEVVKLRVFNIPEHVIHYYEELKLTLTCQFGSLAVMRFTGEG PTLLFNSDFNTALIGCQYEMPPDTPLMVAGDDSAI >u266891 FEGDWTEFDSSQNNVEHALFCLQLRAIGCPKSLVHRFASMMDRRGVSCPLASVIVENKKD SGRVDTLVGNTTFNAAVLLNLIQGDILHTLWKGDDSLI >u266961 LENDFSKFDKSQDRFSYLVFAHVMRMLGFDDELLDRWLEGNARCTLRSMTLGILLIIRYQ NKSGGPATTLMNVVMNACATAVCYRGTVIVYALFMGDDSLV >u267308 LENDFSKFDKSQGRFCTDLKMHFYAALGMDESLLARWESAQRESEFVSLAERVRVHVRDQ QKSGDGATTLANTIVNICSVVYAYRGTQVDFAVFIGDDSLV >u267354 TTNDFTAFDQSQTADALALELQVLRFLQIPESFISLYVEIKVETRSFLGVLAIMRFTGEW CTFLFNTLFNMAYTSLMYELGPDTACAFAGDDSII >u267358 VCGDDSLVVTNISGKWEVWEGDASMFDQSESFGPLLLCWEIYKILGVDSHTIALLQTLAS NTYTVRSRKSHEVLFISKKLRPLRDTGGADTSLGNSIVM >u267649 TGNDVTGWDAGCEAEFLYGIDLFLMELCGFPQHYIDSYLHRRLNSYTHLGPFPIMQASGD RYTWLLNTYRNIAITTLYFSLPRGTVMAFSGDDAII >u267766 LENDYTKFDQSQKAEFVHFQIQLLEYLNIPKYLIKMFVELKLGYHDDKSAIDFMILTGAF YTYIYNTLDNMAFAATKYEIPVNTPQCYSGDDSVI >u267874 VENDFTEYDSSQSELTIYFXSDILFLACHNPELVELYREHRTNWSTSTPGLVHMRGYAKK HSGEPFTIDFNTILNIAICGAIYDIDDLCCALFKGDDSLI >u267924 FANDFTEYDSSQYELSPYANSIVMLAMGAPSLLVDVYLQMRADWVLSDDMMKLYGHQKMH SGEPFTLTGNTFFGMLVIASAIEFDDLAYAIFKGDDSAI >u267964 MMCDFTEFDSSQNEKAMIASVMMLKAMGLPSHILDHYLHRRKEWVLYVKNNTGVVDLTVY LDGIWNQHSGQPFTLGGNTQYNMSAIGMCYNFKDFQFAAFKGDDSVV >u268162 TCNDFSEWDSCVRKAFYEFTCYLMKLMGAPDHIIDFYRRFRDEWTMKFDTQYGSAFLKGT EKQLSGNPFTICENTIWNMSLCFVIFEYKNLKFAAFKGDDSAG >u268341 LEGDYTAFDQSEDAAFAVFETLIMERLGFPQAIINGYHDCKNRLRSSVENHAIMRFTGEV WTFIFNTMGNIGYTALKYDIPPKTKFLFGGDDKLA >u268342 TTNDYTAFDQSQTGEALALEQIVLQAFGIPDNVLSYYLELKLNLTCQFGDLAVMRFTGEG PTLKFNSDFNAAIVGCQYEFDSDTAIAVAGDDMAA >u268356 TINDFTAFGSSQGGESVTMDLCWFRWCSMPESLCDLYVGFKTKLLALGAIKAICRDDGEP GTYLFNSLYDIGNTAAKFSPMALWLGYWLFGGDDMAT >u268408 FSNDFKAYDQSQDQKVLAFEVRLMKFLDIPKELIDEYVFIKLNSKAFVGPLQTMRFTGEW CTLIFNTFMNMAYMNLKYKIPKGMPCAFAGDDSIF >u268486 YESDASKQDRQTDEFDLKVEYILYARLGVHESINNCLKQIHDMWRFKTNLVRGHMDNDRH TGSLTTAIGNVIVNLQVLWRTIKRYNDQLELVLILGDDNLL >u268597 LENDFSKFDKTQSETTYEAEYIIYELLGIDKSFIQYWKEGHFITRLISRTAGIALTIIFQ RKSGDATTSLGNTLVNMLTIAAVYNITDFKYAMFLGDDSLI >u268680 GVTDFEMFDSQQDGFTQLLEKEVLKALGTSEEFIEHYFSFRRNGKLLGPGIAGTCTTEKT SGEPMTLLGNSLISMFLGNWLLRGEGPFVSAYKGDDGFK >u268761 YENDFEAFDSTQNEEFLGAQVMLMHAVQIPPPIIADYINWVTHLKIFAGELGIMIASGYK PTWLFNTFDNMCIAATQFQLTPHVSVLGHLPYHNALPASHPVARAFSGDDSAH >u268818 TVNDYSAFDSTQGGESVQMELAWLRWAHAPGEIVDMYSWWKTHIFNSVVGEKKTSRDTGE PGTFLFNTLYSIGNTALKYGTECFEHTTFLFGGDDMAA >u268930 YEDDYTGFDGTQNEDFLAFQTFYMRALQIPEPIISDYLTWVTHLTCLLGPTGIFIASGFK PTWFFNTLDSMAYQALKHDLTPHRLPGKAPVARAFSGDDTLH >u268973 TTNDFTAYDQSQSADALALELIILQFFSIPTSLIELYREIKLNTQTFLGVLSIMRFTGEW CTFLFNTVFNIAYTYAMYSLTPETPMAFAGDDSVI >u269072 TSNDFSEFDQSQTGDALSLEMVMMSAYNLPDAITDYYFSLKTRLRTSLGPLATMRHTGEG PTWFFNTMFNCAVTGLRYGYLGDKARCFAGDDSCI >u269418 IEVDISKFDKSLLMWAFWYLRLLMIQFGVPEWIADLYYSVHLLTTMVDVQTGVKLETFCQ MKSGDPITFPGNSFITLGTLLYCLSDINDIQLMMFGGDDSLI >u269856 FENDWAEFDSSQNNLEHELFCCVMLQLGCPPRLVTLFKAMMYQRYVAANIGALSVLNKKD SGRVDTLIGNTLFNSSVLLSMIPNWRELLVVVKGDDSVI >u269898 VSGDDSIVIVKYKGELFCFEGDASMYDQSQSFGPLGVGWRSCRHLGVDKSTIKLLSELAR NTYVVRSRIKDDPGLFRINKRNRPLRDTGGADTSLGNSLVM >u269940 VGGDDSLVALNQKGKTTFFEGDASMFDQSQSFGPLGFERRVLKHLGVQKDELDLITKMAA CPYVVPFSNGEKLTVDRSHRPLRDTGGPDTTIGNTTVM >u270105 VEIDISKMDKSQNEIHQLIQDKMFSFLGVDKEFIEMWHNCHVKSVMSEIGVGFQFTTLWQ RRTGDACTLLGNTIVTAVVNNYILDFSKFAAVGVVGDDFTG >u270398 TETDFTEFDCNQDSLTLEAECYMMTIYGLPPAVVWLYRQMRTCWRLSARNCAQVFGQYGQ HSGQPATLHGNSFVSMFLISNVVDVDRNSVMLFKGDDCLI >u270401 CSGDDSIVAEFHPGHIVLWEGDASMFDSSQSRGPLKWQYKLMHMLGVDASVTMALYKVAH ATLVVRPRTGDYDMDVFRVDLSDRPHRDTGGADTYLGNTLVM >u270727 TTSDYTGYDSTQKGDSLGFEHLLMLHWGLPQAYVALFAEFQVIQRSLPELYVWWKTHIIS DIIGPKSTGRDTGEPGTFDFNTYFNLALIFTMYIVPLGTVMAVGGDDFAA >u270752 TASDYTRYDQSQNEAMLYFEYLLLQHLNIPADYVDMYIHMKTHCVHQFSKAPLQAAVMRF SGEPGTYTFNTWVNIAVLNVQYDLTGLSYCASGDDSLI >u270778 SWNDFTAFDQGQDASFLAMEVRLMEQLSLPASEIAFYIHLKTHTFSNLGSFSIMRFTGEV FTFIFNTLANMAISNLRFCLDKSNKPLCFGGDDSCF >u271084 LEIDFSKFDKSQEDVILSFSAKILLKLGMPDPIVQEWVNCHKTNRLIFYNIGLSIKTKFQ RKSGDIFTFIGNTIVTMAVLAYVYDLDKAEGGIFGGDDSII >u271310 LSNDFTDFDSAQNNVEKHLIRIILTEIGCPAHVINHYENLRSRRLVCGSAARFVLHDKRD SGEPFTLIGNTAFNAAVVLRLVLGDVRFAIFKGDDSYV >u271379 FTCDFTAYDQSCTEETLSFELAFIEYCGIPTSLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u271380 FTCDFTAYDQSCTEETLSFELAFMEYCGIPVSLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRNLACAFSGDDSLF >u271449 FENDFEEFDSSQGGAFVALECSLMRAFAIPEDLIEYYANIKTHTRARAGYLSIMRFTGEA FTFDFNTLACIAYTHLKYCIPPKTPEAHAGDDLAL >u271574 FTCDFTAYDQSCTEETLSFELCFMSYCNIPQPLIDLYSWIKLNMRTQFGFTAVMRFTGEF GTYDFNTFWNMAYMELRYSPNRDIAACYSGDDSLF >u271636 TATDYTAWDTGRDMSFLHFDDALFARLSLPKAFREEYLDRKLHTRSFVGAMPVMQFSGDR WTWLLNTLSNVAFTHHRYRVPPGAPCCFSGDDMLG >u271763 TENDYTAYDQSQRGPTLELERLLFIHIGIPQDIVDLYVWQKTRMRHQFGISAIARFSGEA GTYDLNTLFNAAILCIQYEDMDKLAFAVSGDDSMI >u271858 STCDFTAFDQSQQAETLAFEMCLFEYFSFTKVMFDLVALYYFIKVAMFTQFGEMGIMRFT GEFGTYDFNTWMSIAYMSWRFGLWRAEYCSLGAAFSGDDSIF >u271950 YSNDYTSFDQSQTGEVLASELLYMWHAGIPENVISIYENNKIDMFCAFGHLQTMRFSGEP ATYAFNCRCNLAVLNLQFPLDVYSEVAVMVSGDDGVI >u272117 CETDYTAWDSSIDAPFIKFDCWIMRQLGIPESYIDTYVNEVSATRSFRGNLRIMQHSGNR YTFLFNTIRNLALTHAAYKNLHKVPQAYGGDDSLL >u272189 LENDFKAYDKTQDNIALEIELSFLALLGVPFDFLEMWRSGHVYTRATCRETGFMLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFPKPEDANTKIRCAFFLGDDSLF >u272220 TENDYTLYDQSQNAEFLNFQILLMRYMNMPPFFIDYYYHYKTHLFSQHGPLDIMVFSGEP PTFQFNSEDNLAFCATQYDIPDGTPILIAGDDSAI >u272322 SCNDFSEWDASFRKCFSSMTCDLLRMMNAPEGLVSWFEQYRENWTMLYQHQYGTTTLSGH EKQFSGNPFTICENTIGNLALCFSIFEYRKLRLALFKGDDSAV >u272332 STCDFTQYDMSCTAETLSFELCLFSYFCLDLVFPEAYQLYYFIKTEMYTQLGTSAIMRFT GEFGTYDFNTWYNIAYMALRYHFDETNPNEGCAFSGDDSIF >u272472 ISGDDSLVVTNYNGVLEAFEGDASMYDQSESFGPLSVGWKACKRLGADSRTIKLLSTLAH NTYHVRSRVSTEFFRINKRDRPLRDTGGADTSLGNSLVM >u272499 FENDWAEFDSSQNNLEHELFCCVMLQLGCPPRLVTLFKAMMYQRYVAANIGALSVLNKKD SGRVDTLIGNTLFNSSVLLSMISNWRELLVVVKGDDSVI >u272574 GVTDFTMFDAQQDEFTQEVEKQVLYRLGASESFVHHYYSNRKNYRILAGPLSGRAGTEKT SGEPGTLLFNSIVNVVIMNFLLRGAGPVAMAVKGDDGFK >u272596 SCKDVKEWDSVYTSLFIDFFSSLMEMLGCPMQIVQWWRLYRKKWRMVHRKSGTSLYGTNK EMSGSPFTICENTIMNMILIFTLYDFKDLVLGCFKGDDSSV >u272742 LEMDFGKFDKSQGIDCFEVEMKMYELLGMDDLLNQLWRMGHFRTSAYDFRTSIKAYFFYQ RKTGDVSTAFGNSMITFMALAKCVAVDRRFSCFAAMGDDSIM >u272745 TCNDYSKYDQSQNEQFLAFEILLMKFLHLPEPLISLYANIKMNTKYFAGILDIMRITGEK FTFLFNTYANIAHTELKYNTSHLQIPEVYGGDDMAI >u272900 GVTDGADFDSMQNKFTQQIEKRHSHHLLVPKVLIDSYYQYRNDYRMVENGLFSGRARSEK TSGEPGTLLYNSQLGGTVCNFSLRGIGQSTMEIQGDDARS >u273130 IEDDLEKQDRQTDRWLLKCEEILSDELGVDSAVTLVWQSMHEMWRYYGGDRLRGVLKEMR LSGQATTAYGNAITNLVLHRKMVEKHYDSIARVLILGDDFLM >u273208 AIADAKSFDSQQSPLTLEIERQFMKRLGANMPSLEQYYQIRNPMEFRSFNLFSGKTRGEK GSGFPDTLLGNTILQTCLSTYVFEGMGPMVVAAKGDDHLR >u273499 SEDDYTAFDQSQGMEFLQFDNYLMQACGIPEIVRHDYLSFMTHLRTWLGPMGVMMPSGCK FTLLFNTTRSAAYQQLKYTIPRNTPMCATGDDVAL >u273556 LVSDYTAFDANQDGSFLRFEQRLMAMYGVPEDVIDNYTELKLTLVSFLGPLAISRFSGET FTWFFNTMANVAYTHLKYDIPPAIAQMYSGDDRAI >u273571 YEDDYTGFDGTQNEDFLAFQVMYMRACSVPEPLIADYVQWVTHLIVLGRESGVFIASGFK PTWFFNTIDSMAYQALKHELTPHRRTGIRPVARAFSGDDTLH >u273716 TTNDYTAFDQSQTGEALSLELTKLHAFGLPDEIINYYFHLKLHLVCQFGELAVMRFTGEG PTLAFNSDFNAALLGLQYLRIENTAVAVAGDDCAL >u273955 LSNDFTEFDSAQNNVEKHLIRIILTEIGCPAHVINHYENLRSRRLVYGSAARFVLHDKRD SGKPFTLIGNTAFNAAVVLRLVLGDVRFAIFKGDDSYV >u274297 VSGDDSVVGWGTFNSTVSFSEADQSKFDHTQDDGPLSLSLSWMRKLGAPDWFLDLVVFCC RSPYTMRKHEMRARGVAGVQMPTGITLTTLLNSMAT >u274467 LELDIGKFDKSQDETMLDVQCKFFILFGMEKWAVELWRVYHELCKLSSPTWGVRFNVGFQ RRSGDPLTWLGNTLVLLIILCQLYDLNKAHLVVLAGDDNLS >u274601 LCTDFSEHDTSHSLIVLLWKCEDYIQMGFDQTLVANYFNAYMHWRQTAKQDGENVTVYND LMQHSGSSDTIHGNSKLTMGANGACFDFRGLKFAAFKGDDTYI >u274703 MEIDVSKYDKSQEKFCLDIQMEIWRRLGVQEEAIKLWYDCHTNTTLTFVNYGLRLPVSFQ RKSGDTFTFLGNTLLLMAMIAYSYDIDACNGAIFGGDDSII >u274884 REIDFSKYDKSQGELHLLMEMLIFDILGLPPFYLLLWYRMHFLTQVKDKSMGFTAWLFYQ RKTGDAATFIGNTVVCICMLLLLYDFSGILFAIFAGDDSIL >u275159 LENDFSKFDKSQDRFSYMLMQFMMTKLGFDDELLDRWIDANERCVLMTMALGILLVSRWQ NKSGGAATALMNVVVNMCATVTCYAGTDMVWAAFMGDDSIV >u275164 FANDFEAFDSGIQGEFVWFFTLLMKHLNIPEHFIEFYLNQSTNAQTFLGALQLMNLTGTW CTWILNTFSNIAYTHTKYVIKNNTPQGYSGDDLTI >u275255 VAGDDFFAIVREKNEIFYLENDFAKFDRTQGVHAQDAEAKVLKLLGMSERISYILFTTMN LQPRYENKRLDHQAIYHMPAQRATGAPDTTIGNTINN >u275343 ASGDDSVVSWGEFARGRVSPFVEADQSKFDHTQDEGPLSLSIYWMRLLGAPEWFLDLVFY CCREGYTSRKHEFSSRGTSGTQMPTGITLTTLLNSMAT >u275394 IQIDLSEYDKSQESRTREFEDIALQDLGMGLLDVQRWSDGQTIKLVKSLQLGIKAVVAFQ RSSGIVTTAFGNVLWALGLESHIIDGPPIVSSNRGDDGYA >u275609 AIVDAESFDSQQNEVTVYAEKVFLELLGASKRSLDEYYEVRKVGIPWALIGRAYGKLNGE KGSGFPDTKTGNTVLQGILANHQFDGVGPKVEAGKGDDWLR >u276232 LEVDFSKFDKSQQRFCLLTECYLMRKFGVAEELVRMWEIFHHASVATDFTSGIRAFFTYQ RKTGDSYTCLGNTLMSMMALVSVFTMDDLICASFIGDDSLL >u276528 LENYFSKFDKSQQEICLFLEMELYRLLGVDVDFIQNWYRTSEYSRIKSTTAGLKLFSVWQ RKSGEGTTAMGNSIVNMLVLCCFYDIDPADLLYSVFMGDDSLL >u276611 ATTDVKEMDSIQDLFTQEIEKEMLRELGCSELFIAEYYSYRSKYPIVCRGVFSGKGEGEK TSGEPGTLLFNSVLAAVFTNAIFRGIGISVLLFKGDDVIK >u276726 YEFDVPKFDKSQDETCFALILEVMRIVGISEEFINYWERASFSGSVFNAQFSMVFTLFYG NRSGSGGTLAVNCICLLFAFLSEFSNLNIIAALIKGDDSVI >u276740 TVNDYTAYDQSQTAETLAFELSLNDLFHVPDHITAYYAELKLSLTCAFGGLAVMRFTGEG PTLRANSDFNAAIIGLQYDFSSSQPICVAGDDSAM >u276834 LEVDFSKFDKSQQRFCLLTECYIMKKFGMAPELVRMWEIFHHASVATDFTAGIRAKFTYQ RKTGDSYTCLGNTLMSMMALASVFDLSDLLCASFIGDDSLL >u276987 IENDYTAFDQSQRGEFLNLHIKIMEYFNIPKDFIETFIKAKTEASTFIGILMIMILTGEW CTFLFNTFSNQAMAVTKYDFDPEVAQVYGGDDSVI >u277155 VENDMEKFDKSQQWTALRLEWFLYTLLGLSVVESHMWQQGHIGCVMTSILAGLKVFSLLQ RRSGDATTALGNTIVNILSVVATYDISGFLYAMFLGDDSLI >u277349 FMADFSEFDSSQEKQGVISSLMILRMMGANTKVMSLYLQMRKQWILTSTNHTDHMSIYHT LNGVWKQHSGQPFTLDGNTMFNMSAIGMCYDIKNLAFASFKGDDSAI >u277455 TENDFTAYDQSQRGVVLGFEIHLLRFYSIPEPLIELYVEMKLHLRRSGVPFVESELGTMR FSGEPATWSFNSRFNLVVSHAKFDLRGVPVLISGDDFLA >u277553 LSSDLSQQDSSHTNVHRFFIAKVMAFLGFNDTIVTLYLISRARRFCSGLTILGLMFEVIE RLFSGEPGTAFFNWLMSGGTAACTLDLVTRPPRLMIGKGDDFSV >u277626 EMCDIEGFDSSIRGADVTLERLLMTHFGVPADHIDAYCEDKMDFHTRTIHFGIMRFSGEI FTWLFNTMHTLARECLKFGHKPGDPIAVSGDDVLK >u277643 TSNDFSEFDQSQTGDALSLEMVMMSAYNLPDAITDYYFSLKTQLRTSMGPLATMRHTGEG PTWFFNTMFNCAVTGLRYGYLGDKARCFAGDDSCI >u277715 LEIDFSKFDKSQTDICYELEMNFWGMLGMDTVLEQLWRIGHYKCTAIDFISGIKLYIAYQ RKSGDSATAFGNTLISMLTIAYCQLPVTLSCAYFVGDDSLF >u278127 YEDDYTGFDGTQNEDFLSFQMFILRALHLPEALIEDYLEWVTDLRGMGKPFGIFIASGFK PTWLFNTLDSMAYQALKHKLQRHLPGTKHVARAFSGDDTLH >u278324 QEDDFTKFDQSQTAEVLHFEILFMKHLSLPQDLIDFYFWTKTHCKSQLGPLAIMRFTGEK FTFFFNTLLNMAFQMTKYVIIKKTPQVYGGDDSAI >u278487 LEIDMGKFDKSQGLTALLFECEYFKRAGMPIWMVNLWFISHFLIKVKGFGTSLKFSLPHQ RRSGDPWTYGGNTMYLLAIMLNLCGNRINYIMVSGDDSLI >u278496 FSTDYSRFESSFKFDIMLALELAYYKPMVPEDIYEAMCKCHKYFRSRNIFVTMDYDNGIR ASGDGDTSLSNTLSNICLTSYIFDTLQIPWDGLFEGDDGLI >u278545 LENDFKAYDKTQDNVALEIELSFLALLGVPLDLLEMWRSGHVYTRATCRETGFMLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFPKPEDARTKIRCAFFLGDDSLF >u278634 YSNDYTSFDQSQTGEVLASELLYMWHAGIPESIIRIYEQNKTDMFCAFGHLQTMRFSGEP ATYAFNCRCNLAVLNLQFPLDRNESLAVMVSGDDGGI >u278638 TENDYTLYDQSQSEEFLHFQSLLMRYHNLPTFIIDYYILYKTSLVSQHGPLDIMVFSGEP PTFQFNSDDNIAFAHTQYDIDPTTPLLIAGDDSVI >u278659 TVNDYSAFDSTQGGESVQMELAWLRWAGAPGEVVDMYSWWKTHIFNSVVGEKKTSRDTGE PGTFLFNTLYSIGNTALKYGTACFETTTFLFGGDDMAA >u278691 LEIDFSKFDKSQMQTCFEVEMTIYELLGFDQYLLNLWKIGHIETTITDFVNDFKAFIMYQ RKSGDISTAFGNSLISMIAIAMTTNFKEGVTCAMFLGDDSLI >u278895 FEDDLSKQDRQTDKHLLDTEYAIYDILGLSEEVSSSFRKIHDLWKMKAREIKGIGTEQRN TGVATTALGNALVNLIAHRPFIESHWSQIKITTILGDDHHG >u278921 FENDFSAYDKSQHIETWIVEKTVYEMLGLDVGLLDVWEDAHWFTKVRSPAVGLTMHLLFQ RKSGDVTTSFGNTLVNMICLTYCYRIREFTYGLFLGDDSLI >u279067 IANDWTAWDSGCNKTTVLAVAHYFTSLGLPQSYVDTYVHDRLNVTSYLGTHRTKQESGDR WTWLVNTIVNMMISGATIACPAATPAGFSGDDSII >u279286 VCGDDSITVIKHQNVMYFVENDFSRYDTTIGPEAIAFELTFYDKLGYFDGDARFVLEQQK MTKGYTRVGVSYSFPGERKSGDPNTSTGNSMIT >u279450 SCNDFSEWDSCFRECFAMLTCKLLTFMGCPRALVNWFGKYRQEWEMHYHSVFGMVSLKGH EKQFSGNPFTICENTIGNLALCFSIFEYKNLKFAMFKGDDSAV >u279454 TEDDYTAFDSTQGGEFLNFDQHLLLAAGVPQVDIEAYLYFMTNLETWMGRMGLMMPSGCK FTLLFNTTRSAAYQALKYDIPRNTPIALTGDDTAC >u279460 VESDMKNNDGTQQAECRKYEAMFYKKLGAPDWFVREFAKNTQVRVWTRFGISARINGQRW SGESTTTTGNSYVSMCIMLAALDSAGVQRSLNVHGGDDYLG >u279475 TANDYTGWDTGVDLAFHHFHAWLLRRVGLGHRVDAYFHQAFNARTHLGPFPIQMPSWSAW TWDFNTADDFALTGASTNFPVGTPIAVAGDDSAV >u279632 TTSDYTAYDSSQKGDSLGLEHLLMYHFGLEKSWTLLFADYTKAFKTIPELYLHWKTHIES TVIGSKETGRDTGEPGTYDFNTYFNLALISLMYRPAGNVPIAVGGDDMAA >u279772 RENDFRMFDKSQLQKTVELELAFYERLGHCKYLNAVWAEGITTSLVKSLLLAVKVIINYQ RRSGACTTAFGNTAINMITNAWELKLLNNFFAVYFISDDSSL >u279808 LELDCSKFDKSQGKVLLMFQELLWRKLGLDPHMGGIWNEAHRLTFISDFLNGVMFSVNYQ RKSGDATTYMGNTLVTMAMIAYLYPIEKALFSVFGGDDSLV >u279878 VDNDYTAFDQSQDATALFLEIELMRHFNVPSDMIELYYWLKTETRSWLGPFGIMRFTGEW STFLFNNLFSIAYSHTKYSFPPGMLQCYGGDDSSF >u279903 TANDYTAFDASQGYDSVMLECHVMRLAGLPDALVDSYEQWKISIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLHCLALFGGDDSAI >u279930 TANDYTAFDASQGYDSVLLECHVMRLAGIPDHLVDSYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLQCMALFGGDDSAI >u280499 DENDYTAYDQSQDGGVTGFKRRIMETFSIPEHYIKENEERCMTLRAFMGELGHQMFSGSW DTHFINTTLNVAMNHTKYNINPRTPQMYAGDDSAT >u280505 FEADISQFDKSQTELSLAVEMAVYRKLGLDPEWAMRWEGAMFETRNVCHAVGITIYLMHQ RKSGSVTTSIGNTIVNMVACAYPDTLTAECIIAAMFLGDDSLI >u280615 FANDFTEYDSSQYELSPYANSIVMLAMGAPSLLVDVYLQMRADWVLSDDMMKLYGHQKMH SGEPFTLTGNTFFGMLVIAFAIEFDDLAYAIFKGDDSAI >u280979 TANDYTAFDASQGYDSVLLECHVMRLAGLPDALVDNYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSVAVSSLKYGKLRCLALFGGDDSAI >u281095 FTCDFTAYDQSCTEETLSFELAFMEYCGIPISLVDLYRWIKLSMRTQFGFSAIMRFTGEF GTYDFNTFWNMAYMETRYHIPRTLACAFSGDDSLF >u281100 TANDYTAFDASQGYDSVLLECQVMRLAGLPDQLVDNYEQWKVSIRSNLIGPKDVSRDTGE PGTFDFNTLFSIAVSSLKYGKLHCLALFGGDDSAI >u281105 FENDFSTFDATQSDRALEIIVNALSLTNMSKQALDLMLLDVQGCRISNSVGSYTAKGVRF SGRSETLVGNTILNLVVMCHAFKGKLSAMIIKGDDSVV >u281161 IEDDFSAYDSTQSKGCHYAEKWFYDKFEGFAVAKNIVSFQAKTVGEGRFHRYEVEYTRKS GDQNTSIGNTIINFLAHAYAIAMYEKKYETKVKYYMIGLGDDNLL >u281283 AIVDAKEFDSQQSDVTVYAEKCFLELLGANPRSLEEYYKVRDAGVPWGLIGRAYGLMGGK KGSGFPDTKMGNTVLQGILANQQFKGLGPKVEAGKGDDWLR >u281359 EMCDIEGFDSSIRGADVTLEKELMAFFGVPQTHIDAYVEDKMDFHTRTIHFGIMRFSGEI FTWLFNTMHTLARECLKFGHQPGDPIACSGDDVLK >u281901 FENDFEKFDKSQLEETFAVEMLIYKRLGLDLKLLDLWAFGQTLKTATSLLLGVRVQLLFQ RTSGTVVTAFGNVLVNMAATAWAYKLRDTKFHAAYYVGDDSFV >u282014 LETDFSKFDGTLSSDVRFCEKKIMCNMMLPQHRRKLKELFDAEINCPSKTSLGHRYKVGT SRLSGSANTTLGNTLVNAFAAYVGLRLAGLTTQESFANLGPKYGDDSIT >u282903 VENDLKKQDRQTKMDLIXVEFGLYEKLGMNKNLLDFYKQVHTLWHWFNKQVNGMGTEMRL TGFPNTSLGNVIVNLIVNTNLIQQLGPKLTMFIVLGDDGLM >u283000 VENDLKKQDRQTKMDLIXVEFGLYEKLGMNKNLLDFYKQVHTLWHWFNKQVNGMGTEMRL TGFPNTSLGNVIVNLIVNTNLIKQLGPKLTMFIVLGDDGLM >u283393 GTNDFTAFDQGQDGATLQMEVRLMEAFNTPRPMINYYIWLKMNVYSWLGPFSIMRFTGEF CTFLFNTLSNMAFSNLRFFLVGVVCLFGGDDSAF >u283498 FENDMSKFDRQTDTQLINIELAIYKLLGCDSTTLKHWRKMHGKWKWRSKHANGTREAMRL SGQATTALGNAITNMVCHTDYFYDNKLSITGALFLGDDMLV >u284330 VDNDFTEYDASQNSSTIEFETCILEDLGLTDECIDLYRNHRSQWKTYYPSYASFEGVDKK HSGEPFTIDFNTSLNMAICGYIYDFDDLVVAQFKGDDSNI >u284512 FENDFEKFDKSQLEETFAVEMGIYRKLGLDIRLLDLWAYGQVFKTATSLLLGVRIELLFQ RTSGTVVTAFGNVLINMAAMAWAYKLRVIKFFAAYFVGDDSYV >u284580 TENDYTAWDSSIDGPFVKFDLWLLRQIGVPEDYLSTWAEERCSTTCFMGNLRLMQHSGDR YTFLLNTVRNLAITNAQYAGMAGRAQAYGGDDSLV >u284777 MAGDDFFGLVNSQGLRAYENDFSKMDRTQGVHALGVEFVILRAFGVRHFTLCRLFDAMLS NPRYESVKYDIRVKLPMQPQRATGAPDTTIGNTLIN >u284912 VSGDDSVCSRAMTNFQGRARNVSTYVEGDFSAFDQAQREECLRAHGLWMKMIGVSPYVID LILHACSMPYKALCKRLRVDGDCGYEMATGIDWTTVINSMSN >u284977 SEADHAKFDKSLDDVFLELEIIFLDSFRMPARVVRLWREMHEYCRLLSMQHAIAYDLPLQ RKSGDPATWIFNTLATLCMLCYAYRKVDLLLVSGDDSLI >u285023 AANDFSEFDSSQNNVGHLLLKNILIKIGCPIEMAELFAARMHQRVVTADVGSLNVENKKD SGRVDTLIDNTLFGAAVVLYLLDPSSKLTHAFFKGDDSLL >u285318 MEADISKFDKSQNEFCLLLELELMKRLGVPTCVISAWDYVHTXTKLNFRKEGLIVDTGVX RKSGDPGTFLFNTFVTMAMLNYCLDLHHPNIKCAIFGGDDSLI >u285388 FENDFEKFDKSQLIEALRLEFRAYQILGVDKFLENLWYYGVTLTEARNLLLGVRIYLLFQ RKTGSVTTSFGNVLVNMISTCWAYKLGDTGFVALYYVGDDSYI >u285591 TINDFSEFDSTQGAESVYMEVAMMRHYSIPEELVELYLHWKLFQTSKLIPEKKTARDTGE PGTFDFNTIYNIANCTLKYGKICDFALFGGDDTAI >u286183 GTCDYSAFDQSQDISVLLFELKVYEAMGVPRALLERFKRWKMNLICQYGSLEVMRFTGES GTILGNTLANMALSNLERDLAGPRGVHSPCAFIGDDSVF >u286275 WESDLEQQEKSMSGAYVTLFSCIMRHFGVPDDIIDAYVEDKLDKQTARMHFGLMTFSGEI FTFLANTLGNIARFVAKYDVTPGERGKFGGDDLLM >u286454 YECDMSKFDKSQGQAVLEMEIHVLKHFGVPDYLVTVWRMAHTHTIVKDRSHQITFKIDYE RKSGDPATFAGNTLNQMASHAQVYPVNKFVYGMFAGDDSLI >u286457 VDADANKQDRQTNKHLRMIEMQVYKILGIPASIAESWISNFETRLLQSRTTRVSGTPWQR ASGEPTTALGNYIVNLVVHGKVIRTNIKSLVLSMGLGDDHLS >u286550 FMADFSEFDCSQEQQGVISSTIILSMMGCNHKVLDLYIQMRKQWTLTSVNELEGIKMMTK LKGVWKQHSGQPFTLDXNTMFNMSAIGMCYDIKNLIFASFKGDDSVL >u286809 EEMDISQFDKSEGENCVEGIEKPLVLDLGLDPEVAALWYEPNEEARIASVAFNFKIFLQV QRRSGQLSTLLGNSMVTAGAVCLTMALDRVPFLWFFFQGDDSLI >u287179 LEVDFSKYDKSQDYNCYIVEEMLLVALGFPVELLGAWRYACFVSKLVNIKTKISGKIIYQ RKSGTAVTYFGNTLVCMSSLCTVADLSNAACLFSGDDSLI >u287316 MANDYTEYDQSQTGEALAFEVSRLRAHRVPEFLVQYYEELKLSLRCQYGHLQTLRHTGEG PTWKFNSDFNAAVAGCQYVFSAGQARAISGDDSAF >u287411 AVIDFDSYDATQNRFTQQIERRIMEKLGISEYVIDIYYSFRENYPLVTKILKANGGYTKT SGEPGTLLFNTLLAMALTNYIIRGFLKIVMLGQGDDVIK >u287427 TYCDYTGWDSGVDESFTLLYSDLQRSYGVPIDIVERFIDERHNSRSFMGPMPAMQFSGDR YTWLNNTVGNMALTGLSFHIDADTRAAFSGDDMIL >u287863 TVNDFTKFGATQGGEALQMDMQWFRWAGCSEAVVYRYRELKLSMIALGSTKKTCRDDGEP GTYCFNCLYAIGVTALRFGVAALWRGMWWFGGDDEAC >u288181 VCGDDSLVVTNISGSWRVFEGDASMYDQSESKGPLGTAWAVYMKLGVTAYVIQILTTLAE NTYTVRSRKSHEVLFINKKDRPLRDTGGADTSLGNSIVM >u288663 LENDFKAYDKTQDNVALEIELSFLALLGVPLDLLEMWRSGHVYTRATCRETGFMLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFEKPEDARTKIRCAFFLGDDSLF >u288945 FSGFDEVLKGKNYSQRGEIFKKKYITKFLLENDYSKFESSQRPEVLKLIELELFKKIIDP QYLDEFLKIYEYKLHKPIKTIQGISAYVYGCRGSGDMDTGLGNTIVN >u289188 YADDYVAFDEKQGLAFLWLHVFIMLGPNGIKLPSGFKFTWLFNTLDNMAYQAIKYWLTPR NIKPVARSFSGDDSGH >u289228 SCNDFTAFDQGQDASFLAMEVRLMEQLSLPASEIAFYIHLKTHTFSNLGSFSLMCFTGDV FTFILNTLANMAISNLRFCLDKSNKPLCFGGDDSCF >u289527 TINDYSAFDSTQGAESLWMEIVLMRHYNLPADLIQAYQDWKCHQRSSIIGLKTLSRDTGE PGTVLFNTFYSVANCTLKYGKINAFSLFGGDDMAS >u289867 TINDYTKFGATQGGDSLKMDMLWFQWAGVPDSLVELYFHYKTRLETNGFVKTISRDDGEN GTWLFNTLYNLGNIALRFGVSALHSGMWLLSGDDGEN >u290151 VACDISEQDTTKTEATHLVFRWLFEAIGVPSHTYDIVQQACIRWIGFGLDFSINNVETFQ SGINWTYLNNTVDSMARIGASFEIEGLRLAMFKGDDAYV >u290693 VEDDLEKQDGQTTHLVIETEMLIYAHLGVDPGTLELYSWIHKRWAWKSQGLSGVWDAMRL TGQPTTALGNAITNLLVHVRFFIKNRSDIIVMYVLGDDNAI >u290833 CSGDDSIVAEFHPGHIVFWEGDASMFDSSQSRGPLKWQYKLMHMLGVDASVTMALYKVAH ATLVVRPRTGDYDMDVFRVDLSDRPHRDTGGADTYLGNTLVM >u291244 LENDFKAYDKTQDNVALEIELSFLALLGVPLDLLEMWRSGHVYTRATCRETGFMLLTTFQ RKSGDVTTSFGNTLINMVGTAQAYFVKPEDARTKIRCAFFLGDDSLF >u292259 LENDFSKFDKSQDRFSYMLMQFIMAKLGFDDELLDRWVDANERCTLKSMALGILLVTRYQ NKSGGPATALMNVTVNLCATVTCYAGTDVVWAAFMGDDSIV >u292454 YERDGKNWDSTMQRPHIDLRKHAYACAGEKFLEFVEAGYRVKGRDPCGALKYILQGTVKS GHNDTTLGNSLVNGLLAATALKRCGLRGDIIVAGDDLLC >u292732 FELDVSKYDKSQEAVWLDAQCIVFKLLGMCDQMIDLWRALHEMCILTAPKFGATYRVGYQ RRSGDALTWFGNTLVLLMMMAYLYPIEEAHMVLLGGDDNVT >u292858 YFDDASKFESSQRENLLRDVELSLWQQILLPSDFELLKRCFEVKMVKHGYTNLGMEFIFY ALRCSGEVDTWLGNTIMNWVAHRYFXIKNGFPKYNFIVTGDDGVG >u293202 VEMDYSKFDKNQDETMMMYQLFLFEYLGLKDKVIIDYLLTHLNCELMFRDAGIKVRVSAQ RRTGDAFTFFGNTLMTMMMAIYAFREEDIVLGVFGGDDSII >u293475 DCSDVNEWDTKFRTVFQQLTSTLVCAIGCPTWLASWFTRFRSKWKMVIMTKSIRTVLIGD EKQFSGNPFTICENTIGNMAMTYAIKRFISEYMSLFKGDDSAI >u294390 IENDLSRNDSTQTTWMRKYEAMFYHKLGATKWWVREFVKNTSVDVWTRFGISAHIEGQRW SGEVPTTPGNGHTNXAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAISPKLGXLSRFQ XYTVKHKSVNVWTRFGISATIEGQRWSGEVPTTPGNGHTNACHILSYLPEVGVTESVSVV YGDDRSE >u294466 AEDDLGKFDTSIREEWCWYEWWLCKTFGAPKALLDLLEANIQTHGYTMHGMKYKVLSTRK SGDPFTSMFNSNINGVAHAFVFCMHPRSRQMPLRRARKILKMLLQGDDNAI >u295080 LENDFSKFDKSQDEFSFKVFMYIMQNLGFDQELLDRWVESNRDVTMRSMILGILLKASWG NKSGGPATALQNVALNLAAVCTCYPGTQIVWAVFMGDDSIV >u295996 IAVDAGKLDQVLPSFISEFSIGHRLGNAFHSCMRLTGEPGTYDDNTDYNIAVLFLRYDLR PYHNVLVSGDDSAI >u296007 LENDFGKFDKSQDSFSYAIMIRVCEECGFNQELLDRWRDANDKCTLHSTLLTIVLVVHDQ NKSGGPATAFMNAVSNMSAVAVCYAGTVIVWAAFMGDDSLA >u296316 STNDYSAFDQSQTGEALSLEITLLRAFSIPDHVISYYEQVKLYLTCQFGALAVMRHTGEG PTLFFNSVFNAALVGVQYDLPAGTAIAVAGDDLPI ================================================ FILE: tests/input/TestKmers/ambig_bases.fasta ================================================ >seq_with_Ns CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGTGTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCTAATCT NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCGGACACACAAAAAGAATGAAGGATTTTGAANNNNTCTTTATTGTGTGCGAGTAACTAGAAATTGAGATTCTAATCT CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGTGTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCTAATCT CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGTGTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCTAATCT >seq_with_ambig_bases CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGTGTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCTAATCT MRWSCGGACACACAAAAAGAATGAAGGATTTTGAANNNNTCTTTATTGTGTGCGAGTAACTAGAAATTGAGATTCTAATCTTTGAAATTGAAATTGAGATTCTAATCT CGGACACACAAAAAGAATGAAGYKVTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCTAATCTAATTGAGATTCTAATCT CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGHDBHDBHDBCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCT ================================================ FILE: tests/input/TestKmers/filt.fasta ================================================ >seq1 AAAAAAAAAAAAAAAAAAAA >seq2 AAAAAAAAAAAATCGATCGAAAAAAAAAAAAAAAAAA ================================================ FILE: tests/input/TestKmers/palindromic_kmers.fasta ================================================ >seq_with_reverse_complement_palindromic_kmers AAAAAAAAAAAAAAAAAAAAAAAAAAAAAATTTTTTTTTTTTTTTTTTTTTTTTTTTTTT ================================================ FILE: tests/input/TestKmers/simple.fasta ================================================ >test_seq TCGATCGATCGATCGA ================================================ FILE: tests/input/TestKmers/simple.fasta.kmers.k4.txt ================================================ ATCG 6 GATC 3 TCGA 4 ================================================ FILE: tests/input/TestKmers/tcgaattt.fasta ================================================ >rec1 TCGATCGATCGA >rec2 ATTTATTTATTTATTTATTT >rec3 AAAAAAAATTTTTTTT ================================================ FILE: tests/input/TestLastalDbBuild/expected/TestLastalDbBuild.des ================================================ Bundibugyo_ebolavirus,_complete_genomeBundibugyo_ebolavirus_isolate_EboBund-14_2012,_complete_genomeCote_d'Ivoire_ebolavirus,_complete_genomeReston_ebolavirus_isolate_RESTV/M.fascicularis-tc/PHL-USA/1996/Ferlite,_Philippines/Alice,_TX,_complete_genomeReston_ebolavirus_isolate_RESTV/Sus-wt/PHL/2009/09A_Farm_A,_complete_genomeReston_ebolavirus_-_Reston_strain_Reston08-C,_complete_genomeReston_ebolavirus_-_Reston_strain_Reston08-E,_complete_genomeReston_Ebola_virus_strain_Pennsylvania,_complete_genomeSudan_ebolavirus_isolate_EboSud-609_2012,_complete_genomeSudan_ebolavirus_isolate_EboSud-639,_complete_genomeSudan_ebolavirus_isolate_EBOV-S-2004_from_Sudan,_complete_genomeSudan_ebolavirus_-_Nakisamata,_complete_genomeSudan_ebolavirus_strain_Gulu,_complete_genomeZaire_ebolavirus_isolate_EBOV/H.sapiens-tc/COD/1977/Bonduni,_complete_genomeZaire_ebolavirus_isolate_EBOV/H.sapiens-tc/COD/2007/43_Luebo,_complete_genomeZaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/1Eko,_complete_genomeZaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/2Nza,_complete_genomeZaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/Ilembe,_complete_genomeZaire_ebolavirus_isolate_H.sapiens-wt/GIN/2014/Gueckedou-C05,_complete_genomeZaire_ebolavirus_strain_Zaire_1995,_complete_genome ================================================ FILE: tests/input/TestLastalDbBuild/expected/TestLastalDbBuild.prj ================================================ version=876 alphabet=ACGT numofsequences=20 numofletters=378200 letterfreqs=119533 81197 74635 102835 maxunsortedinterval=0 keeplowercase=1 masklowercase=0 numofindexes=1 integersize=32 totallength=378222 specialcharacters=22 prefixlength=13 subsetseed=A C G T subsetseed=AG CT subsetseed=A C G T subsetseed=ACGT subsetseed=ACGT subsetseed=A C G T subsetseed=A C G T subsetseed=ACGT subsetseed=ACGT subsetseed=A C G T subsetseed=ACGT subsetseed=A C G T ================================================ FILE: tests/input/TestLastalDbBuild/expected/TestLastalDbBuild.suf.md5 ================================================ 38fa84aa28cd468b7dd789906a6db721 ================================================ FILE: tests/input/TestManualSnpCaller/output.fasta ================================================ >EBOV_2014_G6060.1 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACAT GATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGAT ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Bundibugyo_ebolavirus/GCF_000889155.1_ViralProj51245_genomic.fna ================================================ >NC_014373.1 Bundibugyo ebolavirus isolate Bundibugyo virus/H.sapiens-tc/UGA/2007/Butalya-811250, complete genome CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGTGTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTC ATTGAAATTGAAATTGAGATTCTAATCTCGACGGATCGATCCCCAATACCAACACTGAGAATTGGCCTGAAGAAGTCATC TGCTCCTTGGCAAAACCAAGAGCAGGCCCAAAGGGCCATTAGGCCACATCTGCTGAGCCTGCAGAACACGCAGGACTTAC TTAGCAGAAGAGAGCGCGTGCCGAAACCAGCCAACAAATTGACACAGCTGCTCACTCTGACCCTGAATTCATAAACAATA TTAAGTTGACAACAGAGATACTAATCCAATATTTGGATCAAGAATCAAAATAGTGAAACGACTGACTATCCCTCCTTAGA ATTAGCAAAGATCCTTTTGTAGACTATTGTGCTACATTCTCTATCCAAGACCTCAAAATGGATCCTCGTCCAATCAGAAC CTGGATGATGCATAACACATCTGAAGTTGAAGCAGACTACCATAAGATTCTAACTGCCGGATTGTCCGTCCAGCAAGGCA TTGTGAGACAAAGAATCATTCCTGTTTACCAAATCTCAAACCTGGAGGAAGTATGTCAACTCATCATACAGGCATTCGAG GCTGGCGTCGACTTCCAGGATAGTGCAGATAGCTTTTTGTTAATGCTATGTCTGCATCATGCCTATCAAGGGGATTATAA ACAATTTTTGGAAAGTAATGCGGTAAAATACCTTGAAGGTCATGGATTCCGTTTTGAGATGAAGAAAAAGGAAGGTGTCA AGCGCCTGGAGGAACTACTCCCTGCTGCCTCGAGTGGAAAGAACATCAAGAGAACATTGGCTGCAATGCCCGAGGAGGAA ACAACAGAAGCAAATGCTGGACAATTTCTTTCATTTGCTAGTCTGTTTCTCCCAAAATTGGTTGTCGGAGAAAAGGCCTG TCTGGAGAAGGTTCAACGACAAATCCAAGTGCACGCAGAACAAGGTCTGATTCAATACCCGACATCTTGGCAATCGGTGG GACATATGATGGTCATCTTCAGACTAATGCGAACCAACTTCCTGATTAAGTTCCTCCTAATACATCAAGGAATGCATATG GTTGCAGGGCATGATGCTAATGATGCCGTCATTGCCAACTCTGTAGCTCAAGCTCGTTTCTCCGGATTGTTGATAGTCAA AACAGTGCTTGATCATATCCTCCAAAAAACAGAGCACGGAGTTCGCCTGCATCCCTTGGCGCGAACAGCCAAAGTCAAAA ATGAGGTGAGCTCTTTTAAGGCCGCTTTAGCCTCACTAGCACAACATGGAGAATATGCCCCGTTTGCTCGTCTGCTGAAT CTATCTGGGGTTAATAATCTTGAGCATGGGCTTTTCCCTCAACTTTCTGCAATTGCTTTGGGAGTAGCAACTGCACATGG GAGCACTCTGGCTGGAGTCAATGTAGGAGAGCAATACCAACAACTGCGAGAAGCAGCCACTGAGGCCGAAAAGCAGTTGC AGAAATATGCTGAATCTCGTGAACTTGATCACCTAGGTCTTGATGATCAGGAAAAGAAAATCCTAAAAGACTTCCATCAG AAAAAGAATGAGATCAGCTTCCAGCAGACGACAGCCATGGTCACACTGCGGAAAGAGAGATTGGCCAAATTGACCGAAGC TATTACTTCCACCTCTATCCTCAAAACAGGAAGGCGGTATGATGATGACAATGACATACCCTTTCCAGGGCCAATCAATG ATAACGAGAACTCTGGTCAGAACGATGACGATCCAACAGACTCCCAGGATACCACAATCCCGGATGTAATAATCGATCCA AACGATGGTGGGTATAATAATTACAGCGATTATGCAAATGATGCTGCAAGTGCTCCTGATGACCTAGTTCTTTTTGACCT TGAGGACGAGGATGATGCTGATAACCCGGCTCAAAACACGCCAGAAAAAAATGATAGACCAGCAACAACAAAGCTGAGAA ATGGACAGGACCAGGATGGAAACCAAGGCGAAACTGCATCCCCACGGGTAGCCCCCAACCAATACAGAGACAAGCCAATG CCACAAGTACAGGACAGATCCGAAAATCATGACCAAACCCTTCAAACACAGTCCAGGGTTTTGACTCCTATCAGCGAGGA AGCAGACCCCAGCGACCACAACGATGGTGACAATGAAAGCATTCCTCCCCTGGAATCAGACGACGAGGGTAGCACTGATA CTACTGCAGCAGAAACAAAGCCTGCCACTGCACCTCCCGCTCCCGTCTACCGAAGTATCTCCGTAGATGATTCTGTCCCC TCAGAGAACATTCCCGCACAGTCCAATCAAACGAACAATGAGGACAATGTCAGGAACAATGCTCAGTCGGAGCAATCCAT TGCAGAAATGTATCAACATATCTTGAAAACACAAGGACCTTTTGATGCCATCCTTTACTACCATATGATGAAAGAAGAGC CCATCATTTTCAGCACTAGTGATGGGAAGGAGTATACATATCCAGACTCTCTTGAAGATGAGTATCCACCCTGGCTCAGC GAGAAGGAAGCCATGAACGAAGACAATAGATTCATAACCATGGATGGTCAGCAGTTTTACTGGCCTGTGATGAATCATAG AAATAAATTCATGGCAATCCTCCAGCATCACAGGTGATCCGACCTCTAAAACTGAGCTCCTAACTACAAGCTACCCCATC ACTCTGCCGGAATGCCAGAACCTCCCTCCAAAACAGCTCCACATCGAGAACCTCCGACGCGGTACACAGGCAAGACAGGC AACCTAATGATGTTCCTGTTCACCCACAACCGCAACCAACACTTGATCGACTTCCAAGACAACTACAACCCCCTTAGCCA ACTCCACCACAGAAGCACCACCCCATAACAACAACCCCAAACCAACAACACTGCATGTAAGTATTGTCTCACCCCAAGAT GATCCCTGGACACCAACAACCCCCTAACCTCCCCAAGTTGTCATTAAGAAAAAATATATGATGAAGATTAAAACCTTCAT CAGAGCTATTTCTTCTACGCTTGGTTAGGACCAGTATTCACAAACTATTTTACAATCCCTACCCAATATGACCTCTAACA GAGCAAGGGTGACTTACAACCCACCACCAACAACCACAGGCACACGATCGTGTGGGCCGGAACTTTCCGGGTGGATCTCT GAGCAATTGATGACAGGCAAGATTCCGATTACCGATATCTTCAATGAAATTGAAACCTTACCTAGTATAAGTCCCTCGAT CCACTCCAAAATCAAAACCCCAAGTGTTCAAACACGCAGTGTCCAGACCCAAACTGACCCAAATTGTAATCATGATTTTG CAGAGGTTGTGAAAATGCTAACATCTCTAACCCTTGTCGTACAAAAACAAACCCTTGCAACTGAATCACTTGAGCAACGC ATTACTGACCTGGAAGGTAGCCTGAAACCAGTGTCTGAGATCACCAAGATTGTTTCTGCACTAAATAGATCCTGTGCAGA GATGGTGGCCAAATATGATCTTCTAGTAATGACGACTGGTCGTGCAACTGCCACTGCTGCAGCTACTGAAGCATACTGGG CAGAACATGGACGTCCTCCACCGGGGCCCTCATTGTACGAGGAGGATGCAATCAGGACTAAAATTGGAAAACAAGGGGAT ATGGTACCCAAGGAAGTGCAAGAGGCCTTCCGTAATCTGGATAGTACTGCCCTTCTAACGGAAGAGAATTTTGGGAAACC AGACATATCCGCAAAAGACTTGCGCAATATCATGTATGATCACCTCCCAGGTTTTGGCACAGCATTTCATCAACTAGTGC AAGTTATCTGCAAGTTAGGGAAGGACAATTCCTCACTTGATGTAATTCATGCAGAATTTCAGGCCAGCCTTGCTGAAGGA GACTCTCCTCAGTGTGCCCTGATTCAGATAACCAAACGGATTCCTATTTTCCAAGATGCAGCACCACCCGTAATCCATAT TCGGTCACGCGGTGATATACCAAAGGCGTGTCAAAAGAGCCTCCGCCCTGTTCCACCATCACCAAAGATTGATAGGGGTT GGGTATGCATATTCCAGCTACAAGACGGAAAAACACTCGGACTCAAAATCTAAGGTGAACAATTGCGCAACCTCCACAGT CGCCTATATTGCTTCCTTCCGGAATCAGGGTATGATCGCGTAAAAAATAAGCTTCCAACATATTGATACACGATCCATAT CCATAATGCCATCTCCAGGAATATGAGAACGCAAGGCCATATCAGGACCCGATCTCAATTCCAATGCAACCTACTGTTAA GAATAAAATAACCAATGTCCTCTAGCCTTATATGTTCTCAAAAATACAAGTGATGAAGATTAAGAAAAAGCATCCTTTAC TTGAGAGGAGCTAATTCTTTATACTTCATCTAATCTTTAAGTAAGTTGATCACTACCACCATGAGGAGGGCAATTCTACC TACTGCACCGCCAGAATACATAGAGGCTGTCTACCCAATGAGAACGGTTAGTACTAGTATCAACAGTACTGCCAGTGGTC CGAACTTTCCAGCACCGGATGTAATGATGAGTGATACACCCTCCAACTCACTCCGACCAATTGCTGATGATAACATCGAT CATCCAAGTCATACACCAACCAGTGTTTCATCAGCCTTTATACTCGAGGCAATGGTGAATGTGATATCGGGGCCGAAGGT ACTAATGAAGCAAATTCCTATATGGCTCCCCTTGGGTGTTGCTGATCAAAAAACATATAGTTTTGACTCAACTACAGCTG CAATTATGCTCGCATCGTACACCATCACTCACTTTGGCAAAACCTCCAATCCGCTTGTGAGAATCAATCGACTTGGTCCT GGGATCCCCGATCACCCGTTGCGGCTTCTAAGAATAGGAAATCAAGCCTTCTTGCAAGAGTTTGTGCTGCCTCCAGTTCA ATTGCCGCAGTATTTCACTTTTGACCTGACGGCTCTAAAGCTGATCACTCAACCTCTCCCGGCAGCAACCTGGACGGATG ATACTCCGACCGGTCCTACAGGAATACTTCGTCCTGGAATTTCCTTTCATCCCAAACTGAGACCTATCCTATTGCCAGGG AAGACCGGGAAAAGAGGATCCAGCTCCGATCTTACTTCTCCTGATAAAATACAAGCAATAATGAACTTTCTCCAAGACCT CAAACTCGTGCCGATTGATCCAGCCAAGAACATTATGGGTATTGAAGTGCCGGAACTCTTGGTCCACAGACTAACTGGAA AGAAAATCACAACAAAAAATGGTCAACCAATAATTCCTATTCTTCTACCAAAGTATATTGGCATGGATCCCATTTCTCAG GGAGACCTCACAATGGTCATCACTCAAGACTGTGACACTTGCCATTCTCCTGCTAGTCTTCCTCCAGTCAGCGAGAAATG AGCATGAAGTCCGAGGCTGCCCGGCCCACACGACCCCCAGGGCCTTCGTCCGGCTACCGAACCAACCATCCGACCTTCAT CAAAACCAAAAAATACCGCCACGCGAAAGCTAAAATGCAGGACCACAATCCAACCAGCAACACCATCCATACACAGGTAT CAATTGGGCTGCCGCAGCATATAGACCCAATAGCAAGCTGCTGTCCAGAAAATAGTTCCGGAAAGTAACTCAACCATCGC AAGCCCAATGCAGCTTTCAGAAATCCGCCAGCAACCCAACTCCACTGTACCCCCAATATTAACCTGAATCGACTAACCGC ACTTTAATTTGAAGTACATTTGTTCAATGGGTTCATTATTAACAGTGTTGCTTTTAGATTGTACCTTTGCTCACAGATAG TAAATTGTTATGGTATCAAATCTTATTAAGAAAAAGAACACGATGAAGATTAACGCGACCTAGAGCGCTGCCTTCATCTC ATCAATTTAACTTGTCAATAGAGCAACCTAGTTTGTGATTACTCATCTTCCGTAGTTGACAAACACTTTGCTGGTTAATT GTAAATATACCACAGTCATCATGGTTACATCAGGAATTCTACAATTGCCCCGTGAACGCTTCAGAAAAACATCATTTTTT GTTTGGGTAATAATCCTATTTCACAAAGTTTTCCCTATCCCATTGGGCGTAGTTCACAACAACACTCTCCAGGTAAGTGA TATAGATAAATTGGTGTGCCGGGATAAACTTTCCTCCACAAGTCAGCTGAAATCGGTCGGGCTTAATCTAGAAGGTAATG GAGTTGCCACAGATGTACCAACAGCAACGAAGAGATGGGGATTCCGAGCTGGTGTTCCACCCAAAGTGGTGAACTACGAA GCTGGGGAGTGGGCTGAAAACTGCTACAACCTGGACATCAAGAAAGCAGATGGTAGCGAATGCCTACCTGAAGCCCCTGA GGGTGTAAGAGGCTTCCCTCGCTGCCGTTATGTGCACAAGGTTTCTGGAACAGGGCCGTGCCCTGAAGGTTACGCTTTCC ACAAAGAAGGCGCTTTCTTCCTGTATGATCGACTGGCATCAACAATCATCTATCGAAGCACCACGTTTTCAGAAGGTGTT GTGGCTTTCTTGATCCTCCCCGAAACTAAAAAGGACTTTTTCCAATCGCCACCACTACATGAACCGGCCAATATGACAAC AGACCCATCCAGCTACTACCACACAGTCACACTTAATTATGTGGCTGACAATTTTGGGACCAATATGACTAACTTTCTGT TTCAAGTGGATCATCTAACTTATGTGCAACTTGAACCAAGATTCACACCACAATTTCTTGTCCAACTCAATGAGACCATT TATACTAATGGGCGTCGCAGCAACACCACAGGAACACTAATTTGGAAAGTAAATCCTACTGTTGACACCGGCGTAGGTGA ATGGGCCTTCTGGGAAAATAAAAAAACTTCACAAAAACCCTTTCAAGTGAAGAGCTGTCTGTCATATTTGTACCAAGAGC CCAGGATCCAGGCAGCAACCAGAAGACGAAGGTCACTCCCACCAGCTTCGCCAACAACCAAACCTCCAAGAACCACGAAG ACTTGGTTCCAGAGGATCCCGCTTCAGTGGTTCAAGTGCGAGACCTCCAGAGGGAAAACACAGTGCCGACCCCACCCCCA GACACAGTCCCCACAACTCTGATCCCCGACACAATGGAGGAACAAACCACCAGCCACTACGAACCACCAAACATTTCCAG AAACCATCAAGAGAGGAACAACACCGCACACCCCGAAACTCTCGCCAACAATCCCCCAGACAACACAACCCCGTCGACAC CACCTCAAGACGGTGAGCGGACAAGTTCCCACACAACACCCTCCCCCCGCCCAGTCCCAACCAGCACAATCCATCCCACC ACACGAGAGACTCACATTCCCACCACAATGACAACAAGCCATGACACCGACAGCAATCGACCCAACCCAATTGACATCAG CGAGTCTACAGAGCCAGGACCACTCACCAACACCACAAGAGGGGCTGCAAATCTGCTGACAGGCTCAAGAAGAACCCGAA GGGAAATCACCCTGAGAACACAAGCCAAATGCAACCCAAACCTACACTATTGGACAACCCAAGATGAAGGGGCTGCCATT GGTTTAGCCTGGATACCTTACTTCGGGCCCGCAGCAGAGGGAATTTATACGGAAGGGATAATGCACAATCAAAATGGGCT AATTTGCGGGTTGAGGCAGCTAGCAAATGAGACGACTCAAGCCCTACAGTTATTCTTGCGTGCTACCACGGAATTGCGCA CTTTCTCTATATTGAATCGAAAAGCCATCGACTTTTTACTCCAAAGATGGGGAGGAACGTGCCACATCTTAGGCCCAGAT TGCTGTATTGAGCCCCATGATTGGACTAAGAACATTACTGACAAAATAGATCAAATCATTCATGATTTCATTGATAAACC TCTACCAGATCAAACAGATAATGACAATTGGTGGACAGGGTGGAGGCAATGGGTTCCTGCCGGGATCGGGATCACGGGGG TAATAATCGCAGTTATAGCACTGCTGTGTATTTGCAAATTTCTACTCTAATCTAGTCCGACTCTGTACCAGCATAATGGC CTCTAAAATAAGCTTTTGCTTCTGCTTCCTATAGTTAATACATTTCAGCAAAAATCAACTATTAAGTCAAAAGAAGATCC CTCTAATAATCCTAATTACCTTCAAAAATCTAGAACTTTATTAATTCTCAGGGTATTTAGAACAGCCAGATGACTTGACT AAGTTTGTACTGTAATAAAAAGATACTTGATGAAGATTAAGAAAAAGACAGTCTTGTGATTGTCACTAATCTTCATCTCA AAACATATTATTTTACCAGAAGCTACTATAGCCTACCTCCTTGACACATAGCAAACCTTACTCATGTTGATAATTGTTTG CCTGCTATTTACATATTTACTAACTTACAAAATTATCTTGGGGATTTCTCTGAACATATAATCAGAATTGGCATTTAAAA CACAAGTTAGTCCTAATGGACTCATTTCATGAGAGAGGGCGTAGCAGAACTATTCGACAGAGTGCAAGAGATGGGCCGAG TCATCAAGTAAGAACAAGATCATCCTCCAGAGACAGCCACCGCAGCGAATATCATACACCTAGGAGCTCTTCCCAAGTTC GAGTCCCGACTGTGTTTCATCGGAAGCGTACTGATTCTTTGACAGTTCCACCAGCACCAAAGGACATATGTCCTACCTTA AGGAAAGGATTTTTGTGTGACAGCAATTTTTGTAAAAAGGACCATCAACTAGAAAGTTTAACAGATAGGGAGCTGCTTTT GCTGATTGCACGGAAAACCTGCGGCTCCCTTGAACAACAATTGAACATCACTGCTCCTAAAGATACACGATTAGCAAATC CAATTGCAGATGATTTCCAACAAAAAGACGGCCCAAAAATTACACTATTGACACTTTTGGAGACTGCGGAGTATTGGTCA AAACAAGATATCAAGGGCATTGATGACTCAAGACTAAGAGCATTACTAACCCTTTGTGCCGTCATGACGAGGAAATTCTC AAAATCCCAGCTTAGTCTATTGTGTGAGAGTCATCTACGACGAGAAGGGCTAGGACAGGATCAATCAGAATCTGTTCTTG AAGTGTATCAGCGCTTACATAGCGACAAAGGCGGAAATTTTGAGGCAGCCCTATGGCAACAATGGGACCGACAGTCCTTG ATCATGTTTATAACAGCATTTCTTAATATTGCTTTACAATTACCCTGTGAAAGTTCATCTGTTGTTATTTCAGGATTAAG GCTGCTAGTGCCTCAATCAGAAGATACCGAGACCTCAACCTACACCGAGACACGTGCATGGTCAGAGGAAGGTGGCCCCC ATTAACATCTTCCACAGTCGAATCTACCATAATTTCCCTATTCAACGCAGATAAGAATCAGTACTAAACCACAAGTGCAA AAATTAACAAAACACCAGCATAAGTGAAATCCTGTCTGTGATTAGCAACACGAATGATCTTCAATCCTGTTGCAATTCGC CAGTGATAATTGTATTCACATTGTGGCCACAATATACTGTCTTTTCCCATTGAAAAATAAGGCTGAATCTATTACGCTAC ACAAACTTACAGGATTAGCACCACGACGGCTCAATACTATACCTATTGGTCACGGCTCGATGTGTTAATCACTTATATTG TATTCATTTGAAATTACTCATTAGGCAAATACTTTGATTAAGAAAAAATAATTGGAAAACCAGAAAATCCCTAGGTATTT AAATTCCTATCTCCGGAGATCCGAGATAATTAATCAAGCAATGAGGGAACAATGGTGAACAACAACATATTGTTGCCCCC TTTAGATTGGTCAGTTCCAAAAACAAGTGATGAAGATTAATGCAGATGTCCAAGGAACACATATTTGTGATTTAAACGTT CCAGTTAGACTCTGTTCAAGGATCTTCATCTTTTGTAGCTCCACTCTGAGTCACAACATAATTGAGTTTTTGCTCAGAAC AGTTATCAGGATTAAATTCTCTCAAATAACTGAAACTACTAGCATCACTCTCAATTTCATTACTTACGACAATCATTATC TTAATAATATTTCTCTAAATTACTGACTTAATTAGCTTGTAATCAGATAATATCGAAACCAATTTATCATAAGGCATAAT TTGTATAAGTGATTTAGGATTTACCCCAGAAGTGAAATAATTCTTAGAATAAAAGACCGACTAGAATATCCTTAAGGCTG TCTAACGTGCCACACAGCTAGGGTTAGCCTGACATCTGGAACAAGATCGATACTAATATAGGGATTTGTTTCATACTAGC TCTCTGCAAACACAATGGCTAAGGCAACAGGTAGGTACAACTTGGTTTCACCTAAAAAGGACCTCGAGAGGGGGCTTGTT TTGAGTGATTTGTGCACGTTTTTAGTTGATCAGACTATCCAGGGGTGGCGGGTGACTTGGGTTGGGATTGAATTTGACAT CGCCCAGAAAGGGATGGCTCTACTGCATCGGTTAAAAACTGCTGACTTCGCTCCTGCATGGTCGATGACAAGGAATTTAT TTCCTCATTTATTTCAAAATTCAAATTCTACTATTGAGTCTCCCCTCTGGGCATTACGAGTGATTCTGGCAGCTGGTATT CAAGACCAGTTAATTGACCAATCCTTGGTAGAACCGTTGGCCGGAGCCCTGAGCTTAGTCTCCGATTGGCTTCTTACAAC AAACACAAACCATTTTCAAATGCGCACGCAGCACGCTAAAGAGCAACTGAGCTTGAAGATGCTATCATTAGTGCGCTCTA ATATCTTGAAATTCATCAGTCAATTGGACGCACTACATGTCGTGAACTACAATGGACTCTTGAGCAGTATCGAAATTGGC ACTAGAAATCATACCATTATCATCACAAGAACCAACATGGGTTTCCTGGTAGAATTACAGGAGCCTGATAAATCTGCCAT GAATCAAAAGAAACCAGGACCAGTCAAGTTCTCCCTCCTGCATGAATCAACCTTCAAGGCTCTAATCAAAAAACCCGCAA CTAAGATGCAGGCCTTGATTCTGGAATTTAACAGCTCCCTGGCAATATAGTCCAACGCTACCAACCATCATTTTTTGTAA CTGCATCTCTTTTATTTCCTTTCTAACTTGATACAATTATAATCAAGATCCCTAATCCCTTTTGACGAAGTGGGCTAATT TTTGCTCATTCTAATAATAAATCATAACCTGAATAAAAGACACCACAATATTATAACCCAATAACACCTAGAGAATTTCT GAATTGCTAAAGATTATATACTCGCACTAAGAGACAAGTTAATCAATCTTTACTTAATAATATACTAAATGCTAGATAGC TCTGGCTAACTAACCTGAGTTGTGGATTACTCCTTTTAAAAGTCTATCAATTTAAGCTTATCACTAATATTAAGGAGGAC TTTTTAAATAAGAGCAAGTGTTATGTAGTCTTACTAAGAATGATTTGAGGAAGATTAAGAAAAAGTGCTTGTGGGGTCTT TCCGTTGTAGAGGACACACGAGCAAACTTCTTCCTCTAATTTTAATATGGCAACTCAACATACACAATATCCAGATGCAA GATTATCTTCACCCATTGTCTTAGATCAATGTGATCTTGTCACCCGTGCTTGCGGTCTGTATTCTTCATACTCATTAAAT CCTCAGTTGAAAAATTGTAGACTACCAAAACATATTTACCGCCTCAAATTTGATGCTACGGTTACAAAATTTTTAAGCGA TGTTCCAATAGTTACATTGCCGATAGATTACTTGACCCCTTTACTTTTACGAACTTTATCCGGGGAGGGCTTATGCCCTG TCGAACCAAAGTGCAGCCAATTCTTAGATGAAATAGTAAGTTATGTTTTGCAGGATGCACGTTTTTTAAGATACTATTTT AGGCATGTTGGAGTACACGATGACAATGTTGGAAAAAATTTTGAGCCAAAGATTAAGGCTTTGATTTATGATAATGAATT TCTGCAACAATTGTTTTATTGGTACGATTTAGCAATCCTAACGCGTAGAGGGCGCCTGAATCGAGGGAATAACCGTTCAA CATGGTTTGCAAATGACGATTTAATAGACATTCTCGGGTACGGTGATTATATTTTCTGGAAAATACCGTTGTCATTGTTG TCACTCAACACAGAGGGGATTCCTCATGCAGCTAAGGACTGGTATCACGCATCAATCTTCAAAGAAGCGGTTCAAGGTCA CACACATATCGTGTCAGTTTCCACTGCAGATGTTTTAATTATGTGTAAGGACATCATAACCTGTCGTTTCAATACCACAC TCATTGCAGCATTGGCAAATTTAGAAGATTCTATCTGTTCTGACTATCCACAACCTGAAACAATCTCTAATCTGTATAAG GCAGGGGATTACTTAATCTCGATACTGGGTTCAGAAGGTTATAAGGTCATAAAGTTTTTAGAACCACTATGTTTAGCTAA GATCCAATTGTGCTCAAATTACACTGAGAGGAAAGGGAGATTCCTTACTCAAATGCATTTGGCCGTTAATCACACACTTG AAGAACTTATTGAGGGCCGGGGATTGAAGTCACAACAAGACTGGAAGATGAGGGAATTTCACCGAATCTTAGTAAATTTA AAGTCAACACCACAACAACTCTGTGAATTGTTTTCAGTGCAAAAGCATTGGGGGCATCCTGTGCTACATAGCGAGAAGGC TATTCAGAAAGTAAAGAAACATGCAACCGTAATAAAAGCATTGCGTCCCGTAATCATCTTTGAGACATATTGTGTGTTCA AGTACAGCATTGCCAAACATTATTTTGATAGCCAAGGGTCATGGTATAGTGTAATCTCAGATAAACATCTAACACCAGGT TTACACTCTTACATTAAGAGGAACCAATTTCCGCCACTGCCTATGATTAAAGACTTATTGTGGGAATTCTATCACCTTGA TCATCCTCCCTTATTTTCCACCAAGATTATTAGTGACTTGAGTATTTTCATTAAGGATCGCGCTACCGCAGTGGAAAAAA CATGTTGGGATGCAGTTTTCGAGCCTAATGTTCTTGGATATAGTCCTCCAAACAAGTTCTCAACTAAGAGGGTTCCTGAA CAGTTTCTTGAACAAGAAAATTTCTCGATTGATAGTGTTCTCACTTATGCCCAGCGCCTGGATTATCTACTTCCACAATA CCGGAATTTTTCTTTCTCACTTAAGGAAAAAGAATTAAATGTAGGACGAGCTTTTGGTAAGCTACCTTATCCTACACGTA ATGTTCAAACTTTATGTGAAGCCTTATTGGCAGATGGATTAGCTAAAGCCTTTCCTAGTAACATGATGGTTGTAACAGAG CGTGAGCAGAAGGAAAGCCTCTTGCACCAGGCGTCGTGGCACCACACAAGTGACGATTTCGGTGAGAATGCCACTGTTAG AGGCAGCAGTTTTGTTACCGACCTAGAAAAATACAACTTGGCATTTAGATATGAGTTTACAGCTCCATTTATTGAATACT GTAATCGATGTTATGGTGTAAAAAATTTATTCAATTGGATGCATTATACGATACCGCAATGTTATATACATGTAAGTGAT TATTATAATCCCCCTCATGGAGTTTCGCTAGAAAATCGGGAAGATCCCCCGGAAGGCCCTAGCTCTTACCGTGGTCATCT TGGGGGAATTGAGGGACTCCAACAGAAACTCTGGACCAGCATTTCATGTGCACAAATCTCATTAGTTGAGATCAAGACTG GTTTCAAATTGAGATCTGCGGTAATGGGTGATAATCAATGCATCACAGTTCTTTCCGTATTTCCTCTAGAGACAGATTCC AATGAGCAAGAGCATAGCTCCGAGGACAATGCTGCTCGCGTAGCAGCCAGTTTAGCCAAAGTCACGAGTGCCTGTGGCAT CTTCCTAAAACCAGATGAGACTTTTGTGCATTCAGGCTTTATTTATTTCGGTAAGAAGCAATATTTAAATGGCGTTCAAT TGCCACAATCACTCAAGACTGCTACCAGGATTGCTCCCTTGTCAGATGCAATCTTTGATGACCTTCAGGGAACTCTGGCT AGTATAGGAACGGCATTTGAGAGATCTATATCCGAGACTAGACATGTATACCCTTGCCGGGTGGTTGCCGCATTCCATAC ATTCTTCTCCGTTAGGATCCTCCAATACCACCACCTTGGTTTCAACAAAGGAACCGATCTAGGTCAACTATCACTAAGCA AACCGTTGGATTTCGGAACTATCACTCTTGCTTTAGCGGTACCTCAAGTTCTAGGAGGTTTATCGTTTTTAAACCCAGAG AAATGTTTTTATCGCAACCTTGGAGACCCCGTGACCTCCGGCCTATTCCAACTTAGGACTTACCTGCAAATGATCAACAT GGACGACTTATTTCTACCTTTAATTGCCAAGAACCCCGGGAACTGTAGTGCAATTGACTTTGTACTCAACCCAAGCGGAT TGAATGTCCCTGGGTCACAAGACCTAACATCTTTTTTACGTCAGATAGTGCGTAGAACAATCACATTGAGTGCAAAAAAT AAGCTAATAAACACATTGTTTCACTCCTCAGCCGATTTAGAAGATGAGATGGTATGTAAATGGCTACTTTCTTCAACACC TGTAATGAGTCGGTTTGCTGCTGATATATTCTCTCGTACTCCGAGTGGGAAGCGCTTGCAGATCCTAGGTTATTTAGAAG GGACTAGAACCTTGCTAGCCTCCAAAGTCATCAATAACAATGCAGAGACTCCTATTTTAGATAGGTTGAGGAAAATCACA CTGCAGAGATGGAGTTTGTGGTTTAGCTACCTAGACCACTGTGATCAGGTTCTAGCAGATGCTTTAATAAAAGTTTCTTG TACAGTTGATTTGGCGCAAATTTTACGTGAATATACCTGGGCACACATACTAGAGGGAAGACAGCTCATTGGTGCAACAC TTCCTTGCATGTTAGAACAATTTAATGTGTTTTGGCTCAAATCGTACGAACAATGCCCTAAATGTGCAAAATCTAGAAAT CCAAAAGGAGAGCCATTTGTGTCAATTGCAATTAAGAAACAAGTTGTGAGTGCATGGCCGAATCAGTCACGGTTAAATTG GACCATTGGGGACGGTGTACCTTACATCGGGTCTCGAACAGAGGACAAGATTGGGCAGCCAGCAATCAAGCCTAAGTGTC CCTCTGCTGCCTTACGTGAAGCAATAGAGTTGACATCTAGACTAACATGGGTTACCCAAGGTGGTGCCAATAGTGATTTG CTAGTTAAACCTTTTGTAGAGGCACGAGTAAACCTGAGTGTGCAGGAGATCCTTCAAATGACGCCTTCTCATTATTCAGG GAACATCGTACATCGGTATAATGACCAATACAGCCCTCATTCTTTCATGGCAAATAGAATGAGTAATTCCGCGACGAGAT TGGTGGTGTCGACAAATACTCTCGGGGAGTTCTCAGGTGGGGGGCAATCAGCAAGGGACAGCAATATCATCTTTCAAAAT GTAATCAATTTTTCGGTTGCCCTATTTGATTTACGATTTCGGAACACCGAAACATCCTCCATTCAGCATAATCGTGCCCA TCTCCATCTTTCACAGTGTTGCACACGGGAAGTCCCAGCTCAATACCTAACCTACACGTCTACGCTTTCCTTGGATCTCA CAAGGTACCGAGAGAATGAGTTAATTTATGATAACAATCCGTTAAAAGGTGGACTTAATTGCAACCTATCCTTTGATAAT CCACTTTTCAAGGGCCAAAGGCTCAATATCATAGAGGAGGATTTGATTAGATTTCCTCATCTATCTGGGTGGGAACTTGC GAAAACCATCATTCAGTCCATTATCTCAGACAGCAATAACTCATCCACAGACCCCATTAGCAGTGGAGAAACACGATCAT TCACAACTCACTTTCTCACATATCCTAAGGTTGGGCTCCTCTATAGTTTCGGCGCCATCGTGAGTTATTACTTAGGGAAT ACCATTATTAGGACCAAAAAGCTAGACCTCAGTCATTTTATGTATTACTTAACAACTCAAATCCATAATTTGCCACATCG CTCGTTGAGGATACTTAAGCCCACCTTTAAACATGTTAGTGTGATATCAAGACTAATGAGTATTGATCCTCATTTTTCAA TCTACATCGGGGGTACGGCAGGTGATCGAGGGCTTTCGGATGCTACCAGACTATTCCTTCGAGTGGCCATTTCTTCCTTC CTTCAATTTATCAAAAAATGGATCGTGGAATACAAGACAGCTATTCCTCTGTGGGTTATATACCCTTTGGAGGGACAAAA TCCAGATCCAATTAATAGCTTTCTACATCTGATTATAGCCTTACTGCAAAATGAATCCCCTCAAAACAACATCCAATTCC AAGAAGACAGAAATAATCAACAGTTGTCCGATAATCTAGTTTACATGTGCAAGAGCACTGCCAGTAATTTCTTCCATGCA TCACTTGCCTATTGGAGGAGCCGGCACAAAGGACGGCCCAAAAATCGATCGACCGAAGAACAGACAGTTAAACCCATACC ATATGATAATTTTCATTCTGTTAAATGTGCCTCAAACCCACCAAGCATCCCCAAATCTAAGTCAGGAACTCAAGGTTCAA GCGCATTTTTTGAGAAACTTGAATATGATAAAGAAAGAGAATTGCCAACAGCTTCCACACCAGCCGAACAATCCAAGACC TATATCAAGGCCCTATCCAGCCGAATTTATCATGGTAAAACACCATCCAATGCCGCAAAAGATGATTCAACAACCTCCAA GGGCTGCGATTCCAAAGAAGAAAATGCCGTTCAAGCTTCACACCGAATTGTCCTACCATTTTTTACATTGTCACAGAACG ACTACAGAACTCCCTCAGCTAAAAAGTCAGAGTATATAACTGAAATCACCAAACTAATTCGACAATTAAAGGCAATTCCA GATACCACTGTATACTGTCGCTTTACAGGGGTTGTATCTTCAATGCATTATAAGCTTGATGAGGTTCTCTGGGAATTCGA TAGTTTCAAAACTGCTGTGACTCTAGCTGAAGGAGAAGGGTCAGGTGCCTTATTACTACTACAAAAATATAAGGTCAGAA CAATCTTTTTTAACACTTTAGCTACAGAGCATAGCATCGAGGCAGAAATAGTTTCTGGGACAACCACACCTCGAATGCTC CTTCCTGTAATGGCCAAACTTCATGATGATCAAATAAATGTAATATTAAACAATTCTGCTAGCCAGGTTACTGATATCAC TAACCCTGCATGGTTCACTGACCAGAAATCTAGAATCCCCACACAAGTTGAGATTATGACTATGGATGCTGAAACGACAG AAAATATTAATCGGTCAAAATTATATGAGGCTATTCAGCAATTAATTGTTTCACACATTGATACAAGGGTGCTAAAGATT GTTATTATAAAGGTTTTTTTAAGTGATATTGAAGGTCTCCTGTGGCTTAATGACCATCTTGCCCCTTTATTCGGATCCGG CTATTTAATTAAACCTATTACTTCGAGTCCAAAGTCAAGCGAATGGTACTTATGTCTTTCAAATTTCCTTTCAGCCTCTC GACGACGGCCTCATCAGGGTCATGCTACCTGTATGCAAGTCATCCAAACAGCGCTACGACTCCAAGTTCAAAGGAGTTCA TACTGGCTTAGCCATTTAGTGCAATATGCTGATATTAATTTGCACTTGAGTTATGTTAATTTGGGTTTCCCTTCATTGGA AAAGGTTCTTTACCATCGATATAACCTAGTTGATTCACGGAAGGGTCCACTGGTCTCGATCCTTTACCATTTAACACACT TGCAAGCAGAGATTAGAGAATTAGTGTGTGACTATAATCAGCAACGACAAAGTCGAACCCAAACATACCACTTCATCAAA ACGACAAAGGGCCGGATTACAAAATTAGTCAATGACTACCTTAAATTTTATCTCGTAGTGCAAGCACTGAAGCATAATTG TCTTTGGCAGGAAGAACTCAGAACACTTCCTGACTTAATCAATGTTTGCAATCGATTTTACCATATAAGGGACTGCTCAT GTGAAGATCGATTTTTAATTCAAACTCTTTACTTAACCCGTATGCAAGACTCAGAAGCAAAATTAATGGAGAGATTAACC GGGTTTCTAGGATTGTATCCTAATGGTATTAACGCTTAAGATCCCCTTAGAGGCATCGCAATATGACTCCAAACATTAAA TGATATTGCTGTCAATACATCTACCTGACCGAGAGCAAGGTTTATTATAAAAAACCTATACACATGACTGCAATGCGTAA TTTATACCGAAACACAGTGAGGGCTGCACATGCAGGTTCCTGTTGAGCTTTAAAAGATCATGCAATATAAAATGATATTT GTATACTAATCATGTTAGTACTAACTAACAGTACTCACTGCATATACTCTATCAATTAAGAAAAATTACTGTGGTTTATG CATTTAAATGACATCACAGATGGATATAATATAGTTAATTCTTACCTAAATGTTGAGTTATAGTAATTTGAAGTTATAAT TATGATTAGTGCTTATACTATAAATAATAGCTATACCAAGTATACACAAGAAGTTATGATTTTGTATTCAAATTATATTC ACAGGAACTTGTGATTAATAATAAAAGTCTCAGTTGTTGGTTGTTGAGTTGTAAAACTCCCGTTAAAAATTTATTTTCCA CTTATAACTAATAATAATCATAGATCAGTATGAGTTGAGGCTATTCAAACCTTAGAAAAATTGTGCGATGTTTTTTACCA TGTCAATCTTGATTTCAATGATATTGGAGGGCTTGTCGATAAATTCAGTAATTAACATTAAGTCAGTGTGGAACCTCATT GGATATTTGATCGTACACAAAATATCTTTACAAAATTGTTTTCTCTTTTTTGTGTGTCCA ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Bundibugyo_ebolavirus/GCF_000889155.1_ViralProj51245_protein.faa ================================================ >YP_003815432.1 nucleoprotein [Bundibugyo virus] MDPRPIRTWMMHNTSEVEADYHKILTAGLSVQQGIVRQRIIPVYQISNLEEVCQLIIQAFEAGVDFQDSADSFLLMLCLH HAYQGDYKQFLESNAVKYLEGHGFRFEMKKKEGVKRLEELLPAASSGKNIKRTLAAMPEEETTEANAGQFLSFASLFLPK LVVGEKACLEKVQRQIQVHAEQGLIQYPTSWQSVGHMMVIFRLMRTNFLIKFLLIHQGMHMVAGHDANDAVIANSVAQAR FSGLLIVKTVLDHILQKTEHGVRLHPLARTAKVKNEVSSFKAALASLAQHGEYAPFARLLNLSGVNNLEHGLFPQLSAIA LGVATAHGSTLAGVNVGEQYQQLREAATEAEKQLQKYAESRELDHLGLDDQEKKILKDFHQKKNEISFQQTTAMVTLRKE RLAKLTEAITSTSILKTGRRYDDDNDIPFPGPINDNENSGQNDDDPTDSQDTTIPDVIIDPNDGGYNNYSDYANDAASAP DDLVLFDLEDEDDADNPAQNTPEKNDRPATTKLRNGQDQDGNQGETASPRVAPNQYRDKPMPQVQDRSENHDQTLQTQSR VLTPISEEADPSDHNDGDNESIPPLESDDEGSTDTTAAETKPATAPPAPVYRSISVDDSVPSENIPAQSNQTNNEDNVRN NAQSEQSIAEMYQHILKTQGPFDAILYYHMMKEEPIIFSTSDGKEYTYPDSLEDEYPPWLSEKEAMNEDNRFITMDGQQF YWPVMNHRNKFMAILQHHR >YP_003815433.1 polymerase complex protein [Bundibugyo virus] MTSNRARVTYNPPPTTTGTRSCGPELSGWISEQLMTGKIPITDIFNEIETLPSISPSIHSKIKTPSVQTRSVQTQTDPNC NHDFAEVVKMLTSLTLVVQKQTLATESLEQRITDLEGSLKPVSEITKIVSALNRSCAEMVAKYDLLVMTTGRATATAAAT EAYWAEHGRPPPGPSLYEEDAIRTKIGKQGDMVPKEVQEAFRNLDSTALLTEENFGKPDISAKDLRNIMYDHLPGFGTAF HQLVQVICKLGKDNSSLDVIHAEFQASLAEGDSPQCALIQITKRIPIFQDAAPPVIHIRSRGDIPKACQKSLRPVPPSPK IDRGWVCIFQLQDGKTLGLKI >YP_003815434.1 matrix protein [Bundibugyo virus] MRRAILPTAPPEYIEAVYPMRTVSTSINSTASGPNFPAPDVMMSDTPSNSLRPIADDNIDHPSHTPTSVSSAFILEAMVN VISGPKVLMKQIPIWLPLGVADQKTYSFDSTTAAIMLASYTITHFGKTSNPLVRINRLGPGIPDHPLRLLRIGNQAFLQE FVLPPVQLPQYFTFDLTALKLITQPLPAATWTDDTPTGPTGILRPGISFHPKLRPILLPGKTGKRGSSSDLTSPDKIQAI MNFLQDLKLVPIDPAKNIMGIEVPELLVHRLTGKKITTKNGQPIIPILLPKYIGMDPISQGDLTMVITQDCDTCHSPASL PPVSEK >YP_003815435.1 spike glycoprotein [Bundibugyo virus] MVTSGILQLPRERFRKTSFFVWVIILFHKVFPIPLGVVHNNTLQVSDIDKLVCRDKLSSTSQLKSVGLNLEGNGVATDVP TATKRWGFRAGVPPKVVNYEAGEWAENCYNLDIKKADGSECLPEAPEGVRGFPRCRYVHKVSGTGPCPEGYAFHKEGAFF LYDRLASTIIYRSTTFSEGVVAFLILPETKKDFFQSPPLHEPANMTTDPSSYYHTVTLNYVADNFGTNMTNFLFQVDHLT YVQLEPRFTPQFLVQLNETIYTNGRRSNTTGTLIWKVNPTVDTGVGEWAFWENKKNFTKTLSSEELSVIFVPRAQDPGSN QKTKVTPTSFANNQTSKNHEDLVPEDPASVVQVRDLQRENTVPTPPPDTVPTTLIPDTMEEQTTSHYEPPNISRNHQERN NTAHPETLANNPPDNTTPSTPPQDGERTSSHTTPSPRPVPTSTIHPTTRETHIPTTMTTSHDTDSNRPNPIDISESTEPG PLTNTTRGAANLLTGSRRTRREITLRTQAKCNPNLHYWTTQDEGAAIGLAWIPYFGPAAEGIYTEGIMHNQNGLICGLRQ LANETTQALQLFLRATTELRTFSILNRKAIDFLLQRWGGTCHILGPDCCIEPHDWTKNITDKIDQIIHDFIDKPLPDQTD NDNWWTGWRQWVPAGIGITGVIIAVIALLCICKFLL >YP_003815436.1 small secreted glycoprotein [Bundibugyo virus] MVTSGILQLPRERFRKTSFFVWVIILFHKVFPIPLGVVHNNTLQVSDIDKLVCRDKLSSTSQLKSVGLNLEGNGVATDVP TATKRWGFRAGVPPKVVNYEAGEWAENCYNLDIKKADGSECLPEAPEGVRGFPRCRYVHKVSGTGPCPEGYAFHKEGAFF LYDRLASTIIYRSTTFSEGVVAFLILPETKKDFFQSPPLHEPANMTTDPSSYYHTVTLNYVADNFGTNMTNFLFQVDHLT YVQLEPRFTPQFLVQLNETIYTNGRRSNTTGTLIWKVNPTVDTGVGEWAFWENKKTSQKPFQVKSCLSYLYQEPRIQAAT RRRRSLPPASPTTKPPRTTKTWFQRIPLQWFKCETSRGKTQCRPHPQTQSPQL >YP_003815437.1 second secreted glycoprotein [Bundibugyo virus] MVTSGILQLPRERFRKTSFFVWVIILFHKVFPIPLGVVHNNTLQVSDIDKLVCRDKLSSTSQLKSVGLNLEGNGVATDVP TATKRWGFRAGVPPKVVNYEAGEWAENCYNLDIKKADGSECLPEAPEGVRGFPRCRYVHKVSGTGPCPEGYAFHKEGAFF LYDRLASTIIYRSTTFSEGVVAFLILPETKKDFFQSPPLHEPANMTTDPSSYYHTVTLNYVADNFGTNMTNFLFQVDHLT YVQLEPRFTPQFLVQLNETIYTNGRRSNTTGTLIWKVNPTVDTGVGEWAFWENKKLHKNPFK >YP_003815438.1 minor nucleoprotein [Bundibugyo virus] MDSFHERGRSRTIRQSARDGPSHQVRTRSSSRDSHRSEYHTPRSSSQVRVPTVFHRKRTDSLTVPPAPKDICPTLRKGFL CDSNFCKKDHQLESLTDRELLLLIARKTCGSLEQQLNITAPKDTRLANPIADDFQQKDGPKITLLTLLETAEYWSKQDIK GIDDSRLRALLTLCAVMTRKFSKSQLSLLCESHLRREGLGQDQSESVLEVYQRLHSDKGGNFEAALWQQWDRQSLIMFIT AFLNIALQLPCESSSVVISGLRLLVPQSEDTETSTYTETRAWSEEGGPH >YP_003815439.1 membrane-associated protein [Bundibugyo virus] MAKATGRYNLVSPKKDLERGLVLSDLCTFLVDQTIQGWRVTWVGIEFDIAQKGMALLHRLKTADFAPAWSMTRNLFPHLF QNSNSTIESPLWALRVILAAGIQDQLIDQSLVEPLAGALSLVSDWLLTTNTNHFQMRTQHAKEQLSLKMLSLVRSNILKF ISQLDALHVVNYNGLLSSIEIGTRNHTIIITRTNMGFLVELQEPDKSAMNQKKPGPVKFSLLHESTFKALIKKPATKMQA LILEFNSSLAI >YP_003815440.1 RNA-dependent RNA polymerase [Bundibugyo virus] MATQHTQYPDARLSSPIVLDQCDLVTRACGLYSSYSLNPQLKNCRLPKHIYRLKFDATVTKFLSDVPIVTLPIDYLTPLL LRTLSGEGLCPVEPKCSQFLDEIVSYVLQDARFLRYYFRHVGVHDDNVGKNFEPKIKALIYDNEFLQQLFYWYDLAILTR RGRLNRGNNRSTWFANDDLIDILGYGDYIFWKIPLSLLSLNTEGIPHAAKDWYHASIFKEAVQGHTHIVSVSTADVLIMC KDIITCRFNTTLIAALANLEDSICSDYPQPETISNLYKAGDYLISILGSEGYKVIKFLEPLCLAKIQLCSNYTERKGRFL TQMHLAVNHTLEELIEGRGLKSQQDWKMREFHRILVNLKSTPQQLCELFSVQKHWGHPVLHSEKAIQKVKKHATVIKALR PVIIFETYCVFKYSIAKHYFDSQGSWYSVISDKHLTPGLHSYIKRNQFPPLPMIKDLLWEFYHLDHPPLFSTKIISDLSI FIKDRATAVEKTCWDAVFEPNVLGYSPPNKFSTKRVPEQFLEQENFSIDSVLTYAQRLDYLLPQYRNFSFSLKEKELNVG RAFGKLPYPTRNVQTLCEALLADGLAKAFPSNMMVVTEREQKESLLHQASWHHTSDDFGENATVRGSSFVTDLEKYNLAF RYEFTAPFIEYCNRCYGVKNLFNWMHYTIPQCYIHVSDYYNPPHGVSLENREDPPEGPSSYRGHLGGIEGLQQKLWTSIS CAQISLVEIKTGFKLRSAVMGDNQCITVLSVFPLETDSNEQEHSSEDNAARVAASLAKVTSACGIFLKPDETFVHSGFIY FGKKQYLNGVQLPQSLKTATRIAPLSDAIFDDLQGTLASIGTAFERSISETRHVYPCRVVAAFHTFFSVRILQYHHLGFN KGTDLGQLSLSKPLDFGTITLALAVPQVLGGLSFLNPEKCFYRNLGDPVTSGLFQLRTYLQMINMDDLFLPLIAKNPGNC SAIDFVLNPSGLNVPGSQDLTSFLRQIVRRTITLSAKNKLINTLFHSSADLEDEMVCKWLLSSTPVMSRFAADIFSRTPS GKRLQILGYLEGTRTLLASKVINNNAETPILDRLRKITLQRWSLWFSYLDHCDQVLADALIKVSCTVDLAQILREYTWAH ILEGRQLIGATLPCMLEQFNVFWLKSYEQCPKCAKSRNPKGEPFVSIAIKKQVVSAWPNQSRLNWTIGDGVPYIGSRTED KIGQPAIKPKCPSAALREAIELTSRLTWVTQGGANSDLLVKPFVEARVNLSVQEILQMTPSHYSGNIVHRYNDQYSPHSF MANRMSNSATRLVVSTNTLGEFSGGGQSARDSNIIFQNVINFSVALFDLRFRNTETSSIQHNRAHLHLSQCCTREVPAQY LTYTSTLSLDLTRYRENELIYDNNPLKGGLNCNLSFDNPLFKGQRLNIIEEDLIRFPHLSGWELAKTIIQSIISDSNNSS TDPISSGETRSFTTHFLTYPKVGLLYSFGAIVSYYLGNTIIRTKKLDLSHFMYYLTTQIHNLPHRSLRILKPTFKHVSVI SRLMSIDPHFSIYIGGTAGDRGLSDATRLFLRVAISSFLQFIKKWIVEYKTAIPLWVIYPLEGQNPDPINSFLHLIIALL QNESPQNNIQFQEDRNNQQLSDNLVYMCKSTASNFFHASLAYWRSRHKGRPKNRSTEEQTVKPIPYDNFHSVKCASNPPS IPKSKSGTQGSSAFFEKLEYDKERELPTASTPAEQSKTYIKALSSRIYHGKTPSNAAKDDSTTSKGCDSKEENAVQASHR IVLPFFTLSQNDYRTPSAKKSEYITEITKLIRQLKAIPDTTVYCRFTGVVSSMHYKLDEVLWEFDSFKTAVTLAEGEGSG ALLLLQKYKVRTIFFNTLATEHSIEAEIVSGTTTPRMLLPVMAKLHDDQINVILNNSASQVTDITNPAWFTDQKSRIPTQ VEIMTMDAETTENINRSKLYEAIQQLIVSHIDTRVLKIVIIKVFLSDIEGLLWLNDHLAPLFGSGYLIKPITSSPKSSEW YLCLSNFLSASRRRPHQGHATCMQVIQTALRLQVQRSSYWLSHLVQYADINLHLSYVNLGFPSLEKVLYHRYNLVDSRKG PLVSILYHLTHLQAEIRELVCDYNQQRQSRTQTYHFIKTTKGRITKLVNDYLKFYLVVQALKHNCLWQEELRTLPDLINV CNRFYHIRDCSCEDRFLIQTLYLTRMQDSEAKLMERLTGFLGLYPNGINA ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Reston_ebolavirus/GCF_000854085.1_ViralProj15006_genomic.fna ================================================ >NC_004161.1 Reston ebolavirus isolate Reston virus/M.fascicularis-tc/USA/1989/Philippines89-Pennsylvania, complete genome CGGACACACAAAAAGAAAAAAGGTTTTTTAAGACTTTTTGTGTGCGAGTAACTATGAGGAAGATTAACAGTTTTCCTCAG TTTAAGATATACACTGAAATTGAGATTGAGATTCTCCTCTTTGCTATTCTGTAACTTTCCCTGGTTGTGACAATTGAATC AGTTTTATCTATTACCAATTACCATCAACATGGTATGTCTAGTGATCTTGGGACTCTTCTTCATCTGGTTTTTCCTAGAG CTCTGAATCCATTTTGCGAGAAGTTCATCCAAACGACCCAGTGTCTGAAAATACAAAAGGTTCCCCTTTCCGTCAAGTTT AAGGGGTTGTTTTGATTGTGTGTAGATTTTATAATCCTAGAGTGCCAAGGAGTTGCGTGTCATCATTGATTGGGAAGATC AAGGAAACAATTTGTTCCAATAATATCGTACATCTTGACTAAGTCGAACAAGGGGAAGTCGATATGGATCGTGGGACCAG AAGAATCTGGGTGTCGCAAAATCAAGGTGATACTGATTTAGATTATCATAAAATTTTGACAGCTGGCCTTACTGTTCAAC AGGGAATTGTCAGGCAGAAAATAATTTCTGTATATCTTGTTGATAACTTGGAGGCTATGTGTCAATTGGTAATACAAGCC TTTGAGGCCGGAATTGATTTCCAAGAAAATGCCGACAGCTTCCTTCTGATGCTTTGCCTACATCATGCTTACCAAGGTGA CTATAAATTGTTCTTGGAGAGCAATGCTGTACAGTATTTGGAAGGTCATGGATTCAAATTTGAGCTCCGGAAGAAGGACG GTGTCAATCGGCTCGAGGAATTGCTTCCTGCTGCAACGAGTGGAAAAAACATCAGGCGTACGTTGGCCGCACTGCCTGAA GAGGAGACTACAGAAGCAAATGCAGGGCAATTTCTCTCATTTGCGAGTTTGTTTCTTCCCAAACTGGTTGTGGGAGAGAA GGCTTGCTTGGAAAAAGTCCAGCGACAAATTCAGGTTCATGCAGAACAGGGTTTAATTCAATATCCCACTGCATGGCAAT CAGTTGGACACATGATGGTAATCTTCAGATTGATGAGGACTAATTTCTTGATTAAATATTTACTGATCCACCAGGGTATG CATATGGTAGCTGGCCACGATGCCAATGATGCTGTCATTGCTAATTCAGTTGCTCAGGCTCGCTTTTCAGGACTCCTAAT TGTCAAAACCGTTCTTGATCATATTCTGCAAAAAACCGACCAAGGAGTAAGACTTCACCCTTTGGCCCGAACAGCCAAAG TGCGTAATGAGGTTAATGCATTTAAGGCCGCCCTAAGCTCACTTGCTAAGCATGGGGAATATGCCCCTTTTGCTCGCCTT CTCAATCTCTCGGGAGTTAACAACCTAGAACATGGTCTCTACCCACAGTTATCAGCAATTGCTCTTGGAGTTGCCACAGC ACATGGTAGCACCCTTGCAGGAGTTAATGTTGGTGAGCAGTATCAGCAGCTTAGAGAGGCTGCCACTGAAGCTGAGAAGC AACTCCAACAATATGCTGAGTCCAGAGAACTCGACAGCCTAGGCCTGGACGATCAGGAAAGAAGAATACTAATGAACTTC CATCAGAAGAAAAACGAAATTAGTTTCCAGCAGACCAATGCAATGGTAACCCTTAGGAAAGAGCGACTGGCTAAATTAAC AGAAGCTATAACGCTGGCCTCAAGACCTAACCTCGGGTCTAGACAAGACGACGGCAATGAAATACCGTTCCCTGGGCCTA TAAGCAACAACCCAGACCAAGATCATCTGGAGGATGATCCTAGAGACTCCAGAGACACCATCATTCCTAATGGTGCAATT GACCCCGAGGATGGTGATTTTGAAAATTACAATGGCTATCATGATGATGAAGTTGGGACGGCAGGTGACTTGGTCCTGTT CGATCTTGACGATCATGAGGATGACAATAAAGCTTTTGAGCCACAGGACAGCTCGCCACAATCCCAAAGGGAAATAGAGA GAGAAAGATTAATTCATCCACCCCCAGGCAACAACAAGGACGACAATCGAGCCTCAGACAACAATCAACAATCAGCAGAT TCTGAGGAACAAGGAGGTCAATACAACTGGCACCGAGGCCCAGAACGTACGACCGCCAATCGAAGACTCTCACCAGTGCA CGAAGAGGACACCCTTATGGATCAAGGTGATGATGATCCCTCAAGCTTACCTCCGCTGGAATCTGATGATGACGATGCAT CAAGTAGCCAACAAGATCCCGATTATACAGCTGTTGCCCCTCCTGCTCCTGTATACCGCAGTGCAGAAGCCCACGAGCCT CCCCACAAATCCTCGAACGAGCCAGCTGAAACATCACAATTGAATGAAGACCCTGATATCGGTCAATCAAAGTCTATGCA AAAATTAGAAGAGACATATCACCATCTGCTGAGAACTCAAGGTCCATTTGAAGCCATCAATTATTATCACATGATGAAGG ATGAGCCGGTAATATTTAGCACTGATGATGGGAAGGAATACACCTACCCGGATTCACTTGAGGAAGCCTATCCTCCATGG CTCACCGAGAAAGAACGACTGGACAAAGAGAATCGCTACATTTACATAAATAATCAACAGTTCTTCTGGCCTGTCATGAG TCCCAGAGACAAATTTCTTGCAATCTTGCAGCACCATCAGTAACCACAGCACAAAGCGCGGTCCACTTCGTAAAGCTAAA TACACTTAAGACTTGACCGATTCATCTACAAAAACTAATCCATTATAACTTATTAGTGCTACTTTTCTATAAGTGATTCT TAATCTAAGGCCATTAAGAGTTTAAGTAATATACATATACACTTACACCGGTCTATCCAAGATGTGGCTCAATGTTCTTG ATTTGAACATAGTCATAAGGGGATAAATAATACTTTATATTTCTGATTGTGGATTGACCCATTCTGCTTAAAATGCTTCG CCCATTGAAAATGTGATCTAATAGATAGCCCTGACTAGACAAATTAAGAAAAACATTTGATGAAGATTAAAACCTTCATC GCCAGTAAATGATTATATTGTCTGTAGGCAGGTGTTTACTCCACCTTAAATTTGGAAATATCCTACCTTAGGACCATTGT CAAGAGGTGCATAGGCATTACCACCCTTGAGAACATGTACAATAATAAATTGAAGGTATGTTCAGGCCCAGAAACGACTG GATGGATTTCTGAGCAACTTATGACAGGTAAGATTCCAGTAACTGATATATTCATTGATATTGATAACAAGCCAGATCAA ATGGAAGTCCGACTCAAACCATCATCAAGGAGCTCAACAAGAACTTGTACAAGTAGCAGTCAGACGGAGGTCAACTATGT ACCTCTCCTTAAAAAGGTTGAGGATACATTAACTATGCTAGTGAATGCCACCAGTCGTCAGAATGCTGCAATCGAGGCCC TTGAAAACCGCCTCAGCACACTTGAGAGTAGCTTAAAGCCAATCCAAGACATGGGTAAAGTGATTTCATCATTGAATCGC AGTTGTGCCGAAATGGTTGCAAAATATGATCTTCTAGTTATGACAACTGGACGGGCTACTTCAACTGCAGCTGCAGTAGA TGCGTATTGGAAAGAGCACAAACAGCCACCACCAGGGCCAGCGTTGTATGAAGAGAATGCGCTTAAAGGAAAAATCGATG ATCCAAACAGCTATGTACCAGATGCTGTGCAAGAGGCTTACAAGAACCTTGACAGTACATCGACCCTGACCGAGGAAAAT TTTGGGAAACCTTATATATCTGCTAAAGACCTGAAGGAGATCATGTATGATCATCTACCTGGTTTTGGGACTGCCTTTCA CCAACTTGTTCAAGTGATTTGTAAAATAGGAAAGGATAACAACCTTTTGGACACAATCCATGCTGAGTTCCAGGCAAGTC TAGCAGATGGTGACTCTCCCCAATGTGCACTCATACAGATAACCAAAAGGGTCCCAATCTTTCAGGATGTGCCGCCCCCG ATAATCCATATTAGATCCCGTGGTGACATCCCACGAGCATGCCAAAAGAGTCTCCGACCAGCACCACCATCACCCAAAAT TGATCGTGGTTGGGTTTGTTTGTTTAAGATGCAAGATGGTAAAACGCTTGGACTTAAGATCTAAGAATCAAGATTTATTT AACAAGGCAAGCCACAACCTTAGATGGAACCTCAGCCAGACTATTGAACTATTGACGCTGTTGATGATAATATATAATTA ATGGTCTTATTTGAATATGACAACATCTTGCTTCTTGTTCTGCCTTGTAGCTCTTTGAATTGGAAGATCATTCCAAACTT ACAAACATGCACAAGATGTTATGGTTTAGCAAAGAATTGATAGGAGTACTGGTATATAATGTAAATATAACAAGTGATGA AGATTAAGAAAAACCAGTCGGTATTTTCCAGACTTGGCATTTCTTATCTTCATCTTCTAAAGTGAGATATTTTATCATCA AAAAATGAGGCGCGGAGTGTTACCAACGGCTCCTCCAGCATATAATGATATTGCATACCCTATGAGCATACTCCCAACCC GACCAAGTGTCATAGTCAATGAGACCAAATCAGATGTACTGGCAGTGCCAGGGGCAGATGTTCCATCAAACTCCATGAGA CCAGTGGCTGATGATAACATTGATCACTCAAGCCATACTCCAAGCGGAGTAGCTTCTGCCTTTATATTGGAAGCTACAGT GAATGTAATTTCGGGAACAAAAGTCCTGATGAAGCAAATACCTATTTGGCTTCCACTGGGTGTAGCTGATCAGAAGATAT ACAGCTTTGATTCAACAACAGCCGCAATTATGTTGGCTTCCTACACAGTGACACACTTCGGGAAGATATCTAACCCGCTG GTACGTGTCAACAGGCTAGGCCCAGGAATACCCGATCATCCGCTACGACTCCTAAGGTTGGGCAATCAGGCATTCCTTCA AGAGTTTGTTCTTCCACCAGTCCAGCTTCCCCAGTATTTCACATTTGATCTAACAGCTCTAAAGCTCATCACTCAACCAT TGCCAGCTGCAACCTGGACAGACGAAACTCCAGCAGGAGCAGTCAATGCTCTTCGTCCTGGGCTCTCACTCCATCCCAAG CTTCGTCCAATTCTCCTGCCGGGGAAGACAGGAAAGAAAGGACATGCTTCAGACTTAACATCACCTGACAAGATTCAAAC AATCATGAATGCAATACCGGACCTCAAAATTGTCCCGATTGATCCAACCAAGAACATAGTTGGAATTGAGGTTCCAGAAT TACTAGTTCAAAGGCTGACCGGCAAAAAACCACAACCCAAAAATGGCCAACCAATTATTCCAGTTCTTCTTCCGAAATAT GTTGGACTTGATCCTATATCGCCAGGGGACTTAACTATGGTTATCACCCAGGATTGTGATTCATGCCACTCTCCAGCCAG CCATCCGTATCACATGGACAAGCAGAATAGTTACCAATAATTTAAATTCCATTCGAGCTATTATTCTGCTAGTAATTCCG ACGGGATCAATAGACTAAAAATCTGATTGTATAGAATTATAAAAGAATCAAGCAGAGGCAACAGACTCACAGCTTACGCC TAGATAACTAATATTAAGGAGTTTTTTAATCTAATTTTCCAGTCTTGAGTAATAATCATTTCTTTTGTAATTAATTATGC ATTTGTTAACTTATCGGTGCGAGATTTCCTTGAGAACCCGGCGGAGCTTCTACTATCTGCAGTAACCAGAAGAGAAGTTC AACCCAGTCAAAACTAAACCAAGCAATATTCTGAATGCTCTATAGTCTATTCTAATCAGAGGTATAACAATGGCTAAGAT TTCAATGACTCGTTAACAATCGCTAGTAATTTTAATCTCCAGATTAAGAAAAAGATATACGATGAAGATTAAGGCGACAA CGAGCCGAAACTTCATCTCTTTTAAAGATCTAACATTATCTGTTCCAAAGTCATACAAGGACACATTCAAATCAGGGATT GTAAGCTGCTATTTCTTACCTCCCCAAATTACCTATACAACATGGGGTCAGGATATCAACTTCTCCAATTGCCTCGGGAA CGTTTTCGTAAAACTTCGTTCTTAGTATGGGTAATCATCCTCTTCCAGCGAGCAATCTCCATGCCGCTTGGTATAGTGAC AAATAGCACTCTCAAAGCAACAGAAATTGATCAATTGGTTTGTCGGGACAAACTGTCATCAACCAGTCAGCTCAAGTCTG TGGGGCTGAATCTGGAAGGAAATGGAATTGCAACCGATGTCCCATCAGCAACAAAACGCTGGGGATTTCGTTCAGGTGTG CCTCCCAAGGTGGTCAGCTATGAAGCCGGAGAATGGGCAGAAAATTGCTACAATCTGGAGATCAAAAAGTCAGACGGAAG TGAATGCCTCCCTCTCCCTCCCGACGGTGTACGAGGATTCCCTAGATGTCGCTATGTCCACAAAGTTCAAGGAACAGGTC CTTGTCCTGGTGACTTAGCTTTCCATAAAAATGGGGCTTTTTTCTTGTATGATAGATTGGCCTCAACTGTCATCTACCGA GGGACAACTTTTGCTGAAGGTGTCGTAGCTTTTTTAATTCTGTCAGAGCCCAAGAAGCATTTTTGGAAGGCTACACCAGC TCATGAACCGGTGAACACAACAGATGATTCCACAAGCTACTACATGACCCTGACACTCAGCTACGAGATGTCAAATTTTG GGGGCAATGAAAGCAACACCCTTTTTAAGGTAGACAACCACACATATGTGCAACTAGATCGTCCACACACTCCGCAGTTC CTTGTTCAGCTCAATGAAACACTTCGAAGAAATAATCGCCTTAGCAACAGTACAGGGAGATTGACTTGGACATTGGATCC TAAAATTGAACCAGATGTTGGTGAGTGGGCCTTCTGGGAAACTAAAAAAACTTTTCCCAACAACTTCATGGAGAAAACTT GCATTTCCAAATTCCATCAACCCACACCAACAACTCCTCAGATCAGAGCCCGGCGGGAACTGTCCAAGGAAAAATTAGCT ACCACCCACCCGCCAACAACTCCGAGCTGGTTCCAACGGATTCCCCTCCAGTGGTTTCAGTGCTCACTGCAGGACGGACA GAGGAAATGTCGACCCAAGGTCTAACCAACGGAGAGACAATCACAGGTTTCACCGCGAACCCAATGACAACCACCATTGC CCCAAGTCCAACCATGACAAGCGAGGTTGATAACAATGTACCAAGTGAACAGCCGAACAACACAGCATCCATTGAAGACT CCCCCCCATCGGCAAGCAACGAGACAATTTACCACTCCGAGATGGATCCGATCCAAGGCTCGAACAACTCCGCCCAGAGC CCACAGACCAAGACCACGCCAGCACCCACAACATCCCCGATGACCCAGGACCCGCAAGAGACGGCCAACAGCAGCAAACC AGGAACCAGCCCAGGAAGCGCAGCCGGACCAAGTCAGCCCGGACTCACTATAAATACAGTAAGTAAGGTAGCTGATTCAC TGAGTCCCACCAGGAAACAAAAGCGATCGGTTCGACAAAACACCGCTAATAAATGTAACCCAGATCTTTACTATTGGACA GCTGTTGATGAGGGGGCAGCAGTAGGATTGGCATGGATTCCATATTTCGGACCTGCAGCAGAAGGCATCTACATTGAGGG TGTAATGCATAATCAGAATGGGCTTATTTGCGGGCTACGTCAGCTAGCCAATGAAACTACCCAGGCTCTTCAATTATTTC TGCGGGCCACAACAGAACTGAGGACTTACTCACTTCTTAACAGAAAAGCTATTGATTTTCTTCTTCAACGATGGGGAGGT ACCTGTCGAATCCTAGGACCATCTTGTTGCATTGAGCCACATGATTGGACAAAAAATATTACTGATGAAATTAACCAAAT TAAACATGACTTTATTGACAATCCCCTACCAGACCACGGAGATGATCTTAATCTATGGACAGGTTGGAGACAATGGATCC CGGCTGGAATTGGGATTATTGGAGTTATAATTGCTATAATAGCCCTACTTTGTATATGTAAGATTTTGTGTTGATTTATT CTGAGATCTGAGAGAGAAAAATCTCAGGGTTACTCTAAGGAGAAATATTATTTTTAAAATTTACTTGAATGCTGACCACT TATCTTAAATGAGCAATTAATAATATGTTTTTCTGCTTCTTTGCTTGATTTACAATATGATATTTCTCTTAATAATGATT AATATATTAAGAAAAACTTATGACGAAGATTAAAGGAGAGGATCGTTAACGGGAAAACCTCCCATCTCGTTCGTCGAAGC CACGTTGGTGGTGCTTGCAGCTGAGAACAACTCCAGAGATTGTAGGTAGAAAGGACCAACATTTATAGGTAGGGGTCAGA AAGCAACAATAACCATAAAAGGAGAGCCTGACATTGCTATTTAATATCCTAGAACCTGATTTCTAGGTTCTAGCTTTAAA ATCCGGATGATGGAGCATTCAAGAGAACGGGGTAGATCTAGCAACATGCGACATAATAGCCGGGAACCATACGAAAATCC ATCAAGGTCTCGCTCATTATCTCGGGACCCTAATCAGGTTGATCGTAGACAGCCTCGAAGTGCATCCCAAATTCGTGTTC CGAATCTGTTCCATCGGAAAAAGACTGATGCACTCATAGTTCCTCCGGCTCCTAAAGATATATGCCCAACACTCAAAAAA GGATTCCTCTGCGATAGCAAATTTTGCAAAAAAGATCACCAATTGGATAGCTTAAATGATCATGAATTACTACTGCTAAT TGCAAGAAGAACATGTGGAATTATCGAGAGCAATTCGCAGATTACATCCCCAAAAGATATGCGGTTAGCGAATCCAACAG CTGAAGACTTCTCACAAGGTAATAGTCCTAAATTAACACTTGCAGTCCTTCTTCAAATTGCTGAACATTGGGCAACCAGA GACCTAAGGCAAATTGAGGACTCTAAACTTAGAGCTCTTTTAACCCTTTGTGCCGTATTAACAAGGAAATTTTCTAAATC CCAACTGGGTCTTCTATGTGAGACCCACCTACGGCATGAGGGCCTCGGACAGGACCAAGCTGATTCTGTATTAGAGGTCT ACCAAAGACTCCACAGTGATAAAGGAGGGAATTTTGAGGCTGCCCTGTGGCAACAATGGGACCGACAGTCATTAATAATG TTCATCTCTGCTTTTCTCAACATTGCTCTCCAGATACCTTGTGAAAGTTCTAGTGTCGTAGTCTCAGGTCTTGCCACATT GTACCCAGCACAAGACAATTCTACACCATCCGAGGCAACTAATGATACCACCTGGTCAAGTACAGTTGAATAGAAAACCA CTGGAGCTATTTTTCCACGATTGCTCTCAGTCAATAAATTAATATAGATATAATACGACTTCGGTGTGCAATTGTCAAGA GTTCCATTTAGTAATAATGATTCTTAAAACAATCTACTATCGCAATTATCGATGGATCTACCCTATTTGACGGTACATGA CTTGAATGTAATAAGGTAAGTTGGTATCTGAGGTATTTTGTCTAGAGTATACTCAAAATCGTATGTCTAGCAAATTATCA ATAGCAAAGTTAAATTCTCCTAACCTCATATTTTGATCAAGTAATCATGATTTTATGATAATTCTTTTCAGATTATCGGT TTAATCTTTATTAAGAAAAAATCATGATTGTAGACAATTTACTGGTAGTCCTTGGGTATCCAAGTTTATGAATAGAGCTA GAGAGAATTTGCTACTTCCGAGGTATAACTTTATTATTTGCTACTTCGAATGCCTAAAACCAGTAATGCAGGATGAAGAT TAATTGCGGAGGAATCAGGAATTCAACTTTAGTTCCTTAAGGCCTCGTCCGAATCTTCATCAGTTCGTAAGTTCTTTTAT AGAAGTCATTAGCTTCTAAGGTGATTATATTTTAGTATTAAATTTTGCTAATTGCTTGCTATAAAGTTGAAATGTCTAAT GCTTAAATGAACACTTTTTTGAAGCTGACATACGAATACATCATATCATATGAAAACATCGCAATTAGAGCGTCCTTGAA GTCTGGCATTGACAGTCACCAGGCTGTTCTCAGTAGTCTGTCCTTGGAAGCTCTTGGGGAGACAAAAAGAGGTCCCAGAG AGTCCCAACAGGTTGGCATAAGGTCATTAACACCAGCATAGTCGGCTCGACCAAGACTGTAAGCGAGTCGATTTCAACTA AAAAGATTATTTCTTGTTGTTTAAACAAATTCCTTTTGTGTGAGACATCCTCAAGGCACAAGATGGCTAAAGCCACAGGC CGATACAATCTCGTGCCCCCAAAGAAAGATATGGAAAAGGGAGTGATTTTTAGTGATCTTTGTAATTTCTTGATTACTCA AACCCTGCAAGGTTGGAAGGTTTATTGGGCAGGAATTGAGTTTGATGTAAGTCAAAAAGGCATGGCTCTTCTGACAAGAC TCAAAACAAATGACTTTGCTCCTGCCTGGGCGATGACAAGAAATCTTTTCCCACATCTGTTCCAGAACCCAAATTCGGTT ATTCAATCTCCCATCTGGGCTTTGAGGGTAATTTTGGCAGCCGGATTGCAGGATCAGTTGTTAGACCATTCATTGGTTGA GCCATTGACAGGGGCTCTCGGTCTAATTTCTGATTGGCTCCTAACTACAACGTCAACACATTTCAATCTTCGTACTAGAA GCGTAAAGGACCAGCTTAGTCTTCGTATGTTATCTTTGATCAGGTCAAACATCTTGCAGTTCATCAACAAGCTTGACGCC CTGCATGTTGTCAATTACAATGGTTTACTCAGTAGTATTGAGATCGGGACTTCTACACACACAATCATTATAACTCGTAC AAATATGGGTTTTCTCGTGGAAGTTCAAGAGCCTGACAAATCAGCTATGAATTCTAAGCGCCCAGGACCAGTCAAGTTCT CATTACTTCATGAGTCTGCCTTCAAACCTTTCACTCGTGTTCCACAATCTGGGATGCAATCATTAATAATGGAGTTCAAC AGTTTGTTGGCAATTTAACAAGGTAATCTTAAAATAAGTACATGAATGAGAATTAGTTGTGGGTCTTATCTAGCATTGTT GAGTTAACTATCTAATCTATTTTCGCTAATTGCATTGAGCACTGCTAATAGGTTTGTATCACGTTAAAGATTTAGAGTGT ATGAATTGTGCAGATTTAAACTTGGGTTTTGCCTTATGCTTCATAGGTGGTCTTTTTGAAATGGAGATTATCAGCATTTC TTAAATGGGAGGAGTTAGCAATCAGAAATTGGAGATAAATGGACATCGGGATAGAACAATGCCTAACTATTGGGCGGCTT CCATTTTTACATGTGTATATAACCAATCTTTTCCTATCTTTGCTTATATTGGTGTAACTTTATTTTAATAACATGTCAAT GCTATACTGTTAAGAGAAGGTCTGAGGAAGATTAAGAAAAAGGCCTCGTGTTCACTTGGTTGCCGTCAAGTATCCTGTGG TTTTTTTCTACCTAACTTCCTCATGCCATATGGCTACCCAGCATACCCAGTACCCGGATGCACGTTTATCCTCACCTATA GTCCTGGATCAATGTGATTTGGTAACTCGAGCATGTGGGTTATATTCATCTTATTCTCTAAATCCTCAACTAAGGCAATG TAAATTACCAAAACATATATATCGACTTAAGTTCGACACAATAGTATCCAAATTCCTAAGTGATACACCTGTAGCAACAC TGCCGATAGACTATTTAGTACCAATTCTCCTGCGTTCCCTAACGGGGCACGGTGATAGGCCATTGACCCCGACTTGCAAT CAATTCCTTGATGAAATTATTAATTACACTCTTCATGATGCAGCCTTTCTTGATTACTATCTCAAGGCAACAGGTGCACA GGACCATTTGACAAACATTGCAACTAGAGAGAAGCTTAAAAACGAAATTCTAAACAATGATTATGTCCATCAATTGTTCT TCTGGCATGACCTTTCTATTTTGGCTCGACGTGGGCGTCTGAATCGCGGGAACAACCGTTCAACCTGGTTTGTTCATGAT GAATTCATTGATATTTTAGGATATGGCGATTATATTTTTTGGAAAATACCTTTATCATTATTACCAGTTACTATAGACGG GGTCCCACACGCAGCAACTGACTGGTATCAACCGACTCTTTTTAAAGAATCCATCCTAGGGCATAGCCAAATCCTATCTG TGTCAACAGCTGAAATACTAATTATGTGTAAAGATATTATCACCTGTAGGTTTAATACATCACTGATTGCATCCATTGCA AAATTAGAGGATGTAGATGTGTCTGATTATCCTGACCCGAGTGATATTCTTAAGATATACAATGCTGGAGACTATGTAAT ATCTATTCTTGGCTCAGAGGGTTATAAGATAATAAAGTACCTTGAACCACTTTGTTTGGCCAAAATCCAACTTTGCTCTA AATTCACAGAAAGAAAAGGTCGTTTCCTCACACAGATGCATTTATCAGTAATAAATGATCTTCGGGAGTTGATTTCTAAC CGCAGGTTAAAGGACTATCAGCAAGAGAAGATTAGAGATTTTCACAAAATATTATTACAATTGCAATTATCTCCTCAACA GTTTTGTGAATTATTCTCTGTTCAAAAACATTGGGGGCATCCAATTTTACATAGTGAGAAAGCTATACAAAAAGTAAAAC GGCATGCAACCATCCTTAAGGCTCTCAGACCTAATGTCATCTTTGAGACATATTGTGTATTCAAGTACAATATTGCCAAG CACTATTTCGACAGCCAAGGAACTTGGTACAGTGTAATCTCAGACAGGAATTTAACTCCAGGACTCAACTCCTTCATAAA ACGTAATCACTTTCCTTCACTACCCATGATTAAGGATCTTCTATGGGAATTCTATCATCTTAATCACCCTCCGTTATTCT CTACAAAGGTGATTAGTGACTTAAGTATTTTCATCAAAGATAGGGCCACAGCTGTTGAACAGACATGTTGGGATGCAGTC TTTGAACCCAATGTGCTAGGTTACAATCCTCCAAACAAATTCTCCACTAAAAGGGTGCCGGAACAATTTCTAGAACAAGA GGATTTTTCAATCGAAAGTGTCCTGAATTATGCACAGGAATTACATTATTTATTACCACAGAATAGGAATTTTTCCTTTT CTCTCAAAGAAAAGGAATTAAATATTGGACGAACATTTGGGAAGCTACCATATCTCACACGGAATGTCCAAACTTTATGT GAGGCTCTGTTAGCAGATGGACTGGCCAAGGCCTTCCCCAGTAACATGATGGTAGTAACTGAACGTGAACAAAAAGAGAG CCTTCTTCATCAGGCATCATGGCACCACACCAGTGATGATTTTGGAGAGAATGCTACCGTTCGAGGGAGTAGTTTTGTAA CTGATTTAGAGAAGTACAATCTTGCATTTCGCTATGAGTTCACTGCACCATTTATTGAGTACTGCAACCATTGCTATGGT GTGCGTAATGTCTTTAATTGGATGCATTATTTAATCCCGCAGTGTTACATGCATGTAAGTGATTATTATAATCCGCCTCA CAATGTTAATCTTAGCAATCGAGAATATCCTCCTGAAGGCCCGAGTTCGTACCGAGGGCACTTAGGAGGCATAGAGGGAT TACAACAAAAACTGTGGACGAGTATATCCTGTGCACAAATCTCCTTAGTGGAAATTAAAACTGGTTTTAAGTTACGATCA GCGGTCATGGGAGACAATCAGTGTATAACCGTATTGTCTGTTTTTCCACTTAAAACAGACCCTGAAGAGCAGGAGCAAAG CGCCGAAGACAATGCTGCAAGAGTAGCAGCAAGTCTTGCAAAAGTAACCAGTGCATGTGGGATCTTTCTTAAACCAGATG AGACATTTGTACACTCAGGTTTCATTTATTTCGGAAAAAAACAATATCTCAATGGTGTACAATTACCGCAATCACTCAAA ACAGCAGCAAGAATGGCACCACTCTCTGATGCTATATTCGATGATCTACAAGGAACACTTGCCAGTATTGGAACTGCCTT CGAACGTGCTATATCGGAAACGCGACATATCCTCCCATGTCGTATTGTAGCAGCTTTCCATACGTATTTCGCCGTTCGGA TTTTACAATATCACCATCTTGGATTTAATAAAGGCATCGATTTAGGACAGTTGTCACTTAGTAAACCATTAGACTATGGG ACTATTACTCTAACATTGGCGGTTCCACAAGTCCTTGGGGGATTGTCTTTTCTAAATCCAGAAAAGTGTTTTTATCGAAA CTTCGGAGATCCTGTGACTTCTGGACTTTTCCAGCTACGGGTGTACCTAGAAATGGTTAACATGAAAGACCTATTTTGTC CATTAATATCGAAAAATCCAGGAAATTGTAGTGCCATTGATTTTGTCTTAAATCCATCCGGATTAAATGTTCCAGGATCA CAAGACTTGACATCCTTTTTGCGACAAATCGTTAGGCGTAGTATTACCCTAACTGCTAGAAATAAGTTAATTAACACTCT CTTCCATGCCTCTGCTGATTTGGAAGATGAGATGGTTTGTAAGTGGCTCCTTTCATCAAACCCTGTCATGAGTCGCTTTG CAGCGGATATTTTTTCCAGGACACCGAGTGGTAAACGTCTCCAAATATTAGGTTATCTTGAAGGGACCAGGACTCTATTG GCCTCCAAAATCATAAACAACAACAGTGAGACACCTGTACTTGATAAGCTGAGGAAGATCACCCTACAAAGATGGAATCT GTGGTTCAGTTATTTGGACCATTGTGACCAATTACTAGCAGATGCTCTACAGAAAATTAGTTGCACGGTGGATTTGGCCC AGATTTTGCGTGAGTATACATGGTCACACATCTTAGAGGGTAGATCATTGATCGGAGCGACATTACCATGTATGGTGGAG CAATTCAAAGTTAAGTGGCTAGGACAATATGAACCTTGTCCAGAATGTCTCAACAAAAAAGGCTCAAATGCTTATGTCTC AGTTGCAGTCAAAGATCAAGTGGTCAGTGCTTGGCCTAATACTTCTCGAATAAGTTGGACAATAGGGAGTGGTGTCCCCT ATATAGGGTCAAGAACCGAGGATAAAATCGGACAGCCTGCTATCAAGCCGCGATGCCCTTCATCTGCCCTCAAGGAGGCT ATAGAATTAGCATCAAGGCTCACTTGGGTTACACAAGGAGGTTCTAATAGTGAACAATTAATCCGGCCTTTCTTGGAAGC GAGAGTCAACCTTAGTGTCAGTGAAGTCCTGCAAATGACACCATCACATTATTCAGGAAATATTGTCCATCGATATAACG ACCAATACAGCCCGCACTCATTTATGGCGAATCGCATGAGCAATACTGCGACCCGTCTCATAGTGTCAACTAATACACTT GGAGAATTTTCAGGTGGAGGGCAGGCCGCCAGGGATAGCAATATAATTTTCCAGAATGTTATAAATTTAGCAGTTGCCCT TTATGATATTAGATTCCGGAATACAAACACCTCTGATATAAGGCATAATAGGGCTCATCTTCACCTGACAGAGTGCTGTA CTAAAGAGGTCCCGGCCCAGTATTTGACATATACAAGTGCACTTAATCTGGATTTAAGCCGTTATCGTGATAATGAACTA ATATATGACTCAAATCCACTGAAGGGAGGATTGAACTGCAATTTAACAATAGATAGTCCTTTAGTGAAGGGTCCTAGGCT TAACATGATTGAAGATGATCTTCTCCGCTTTCCACACCTTTCTGGATGGGAGTTAGCGAAAACGGTGGTACAATCCATCA TCTCAGACAATAGCAACTCATCAACAGATCCAATCAGTAGCGGAGAAACACGCTCTTTCACAACTCATTTTCTCACTTAC CCTCAGATTGGCCTTCTTTACAGTTTCGGAGCAGTATTATGCTTTTATCTAGGCAATACTATCCTATGGACTAAAAAACT TGATTACGAACAGTTTCTATATTATTTGCATAACCAGCTGCACAACTTACCTCATCGAGCACTCCGTGTTTTTAAACCAA CATTTAAGCATGCCAGTGTGATGTCCCGATTAATGGAAATTGATTCTAACTTCTCAATTTATATTGGCGGGACATCTGGA GATCGAGGGCTGTCTGATGCTGCTCGACTGTTTCTTCGGACAGCAATCGCGAGTTTTTTACAATTTCTTAAAAGCTGGAT CATCGATCGCCAAAAGACAATTCCTTTATGGATAGTATATCCGCTTGAAGGTCAACAGCCGGAATCCATCAATGAATTTC TACATAAAATTTTGGGTCTGCTCAAACAAGGCCCCAAAAGTATTCCAAAGGAGGTCAGCATCCAAAATGATGGACATTTG GATTTGGCAGAAAATAATTATGTTTACAATAGTAAGAGCACTGCTAGTAATTTCTTCCATGCATCCTTAGCTTACTGGAG AAGTAGGAAATCTCGGAAAACTCAAGACCATAATGATTTCTCAAGAGGGGATGGAACACTTACAGAACCCGTGCGTAAGT TTTCAAGCAATCATCAGTCAGATGAAAAGTACTACAATGTGACATGTGGAAAGTCACCGAAGCCGCAAGAACGCAAAGAC TTCTCGCAATACAGACTCAGCAATAACGGGCAAACAATGAGTAATCATCGTAAGAAAGGGAAGTTCCACAAGTGGAATCC CTGCAAAATGTTAATGGAGAGTCAAAGGGGAACTGTTCTAACAGAGGGTGACTACTTTCAAAACAATACTCCACCAACAG ATGATGTATCAAGTCCTCACCGACTCATTCTACCATTTTTTAAATTGGGAAATCACAACCATGCACATGATCAAGATGCC CAAGAATTGATGAATCAAAATATTAAACAGTACCTACATCAGCTAAGGTCTATGTTGGACACCACTATATATTGTAGATT CACAGGGATTGTCTCATCCATGCATTACAAATTGGACGAAGTTCTTCTAGAATACAATAGTTTCGATTCAGCTATCACAT TAGCTGAAGGTGAGGGGTCAGGGGCTCTATTACTTTTGCAAAAATATAGTACAAGGTTATTATTTTTGAACACATTGGCA ACAGAACACAGTATAGAATCAGAAGTTGTATCAGGTTTTTCTACTCCGAGAATGTTGTTACCAATAATGCAAAAGGTTCA TGAAGGACAAGTCACTGTTATCTTAAATAATTCAGCAAGTCAGATAACTGACATAACTAGCTCAATGTGGTTAAGTAATC AAAAATATAATCTACCTTGTCAAGTTGAAATCATTATGATGGATGCTGAAACAACAGAGAACTTAAACAGGTCCCAACTC TACCGAGCAGTATATAACTTAATACTTGATCACATTGATCCGCAGTATCTCAAGGTGGTGGTACTCAAAGTATTTCTGAG TGATATAGAAGGAATATTATGGATTAATGATTACTTGGCTCCATTATTCGGGGCTGGTTACTTGATTAAACCGATTACAT CAAGTGCCCGGTCAAGTGAATGGTACCTTTGCTTATCAAATTTGATATCTACTAACAGGAGATCGGCCCATCAGACTCAC AAGGCATGTCTTGGTGTTATCAGAGATGCTTTGCAAGCACAAGTCCAGCGAGGCGTGTACTGGTTGAGTCACATCGCACA GTATGCTACAAAGAATCTCCATTGTGAATACATAGGCCTTGGTTTCCCATCTCTAGAAAAGGTCCTATATCACAGGTATA ATCTAGTTGATACTGGACTCGGTCCATTGTCGTCAGTTATTAGACATTTAACTAACCTCCAGGCAGAGATACGAGACTTA GTATTAGATTATAACCTGATGAGGGAGAGTCGCACTCAAACGTACCATTTTATTAAGACTGCAAAAGGCAGAATCACAAA GTTAGTCAATGACTTTCTGAAGTTTTCTTTAATTGTCCAGGCACTCAAAAATAATTCTTCTTGGTATACTGAGCTTAAAA AATTACCTGAGGTTATTAATGTGTGTAATCGATTTTATCATACTCACAATTGCGAATGTCAGGAAAAATTCTTTGTCCAG ACGCTTTATTTACAACGCCTACGCGATGCAGAAATCAAGCTAATTGAACGCCTTACCGGGTTAATGCGATTTTATCCAGA AGGGTTAATATATTCCAATCACACATAGGTACTAAATCATCATAGTATGAGGAATAAGATAATGATAATTCCTGACGACA GTTTTAGTTCCGATTCTAAGTATATCGGAAGAGAGTATGCCAATCTTAATTGTTAGAGGTAACAAGCTATTAGTTATTAC TTATTGATAAGAATACACTTTATCATAGCGTAACACATCATAACTTTATAACGATTTTGCATTTCTAATCCTAGTATTTA TTAGAATGTACTACCAGAGAAATGACCCCAGTTCCTATCTTTAAATAATGATTGTGTGTATTAAATTATTAGTTTATTAG GTTTATGAGTTGGTTACACAGTGAGTATTAGTAATTGAGGATTATGTAGATAGGTAATCTAACACTGAATCACCCATCTG ATGTCACCATATCCAAATGTTGTGCTAGTCGCATTTAAACATGCTATCTTCAGTTAAGTAACATAGACTGAAAATGCTAA GAAGAGATTGGAGTAAAAGTATAAAATAAATTTAATTAAACTTCAAAGTGATTAAATGATAATGATCTTGGGAACTCGAT ATGACCTCAAGTCAAAAATAATGTCAATATAATTGTTTAGTAATATGAGTGATAATGTAAATTTTGATAACTAACTAGCT TTAGTAGTTAAGATCAAATGCAAACATTATAAGAATGTTAAGCGCACACAAAAACATTATAAAAAACCAATTTTTTCCTT TTTGTGTGTCC ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Reston_ebolavirus/GCF_000854085.1_ViralProj15006_protein.faa ================================================ >NP_690580.1 nucleoprotein [Reston ebolavirus] MDRGTRRIWVSQNQGDTDLDYHKILTAGLTVQQGIVRQKIISVYLVDNLEAMCQLVIQAFEAGIDFQENADSFLLMLCLH HAYQGDYKLFLESNAVQYLEGHGFKFELRKKDGVNRLEELLPAATSGKNIRRTLAALPEEETTEANAGQFLSFASLFLPK LVVGEKACLEKVQRQIQVHAEQGLIQYPTAWQSVGHMMVIFRLMRTNFLIKYLLIHQGMHMVAGHDANDAVIANSVAQAR FSGLLIVKTVLDHILQKTDQGVRLHPLARTAKVRNEVNAFKAALSSLAKHGEYAPFARLLNLSGVNNLEHGLYPQLSAIA LGVATAHGSTLAGVNVGEQYQQLREAATEAEKQLQQYAESRELDSLGLDDQERRILMNFHQKKNEISFQQTNAMVTLRKE RLAKLTEAITLASRPNLGSRQDDGNEIPFPGPISNNPDQDHLEDDPRDSRDTIIPNGAIDPEDGDFENYNGYHDDEVGTA GDLVLFDLDDHEDDNKAFEPQDSSPQSQREIERERLIHPPPGNNKDDNRASDNNQQSADSEEQGGQYNWHRGPERTTANR RLSPVHEEDTLMDQGDDDPSSLPPLESDDDDASSSQQDPDYTAVAPPAPVYRSAEAHEPPHKSSNEPAETSQLNEDPDIG QSKSMQKLEETYHHLLRTQGPFEAINYYHMMKDEPVIFSTDDGKEYTYPDSLEEAYPPWLTEKERLDKENRYIYINNQQF FWPVMSPRDKFLAILQHHQ >NP_690581.1 polymerase complex protein [Reston ebolavirus] MYNNKLKVCSGPETTGWISEQLMTGKIPVTDIFIDIDNKPDQMEVRLKPSSRSSTRTCTSSSQTEVNYVPLLKKVEDTLT MLVNATSRQNAAIEALENRLSTLESSLKPIQDMGKVISSLNRSCAEMVAKYDLLVMTTGRATSTAAAVDAYWKEHKQPPP GPALYEENALKGKIDDPNSYVPDAVQEAYKNLDSTSTLTEENFGKPYISAKDLKEIMYDHLPGFGTAFHQLVQVICKIGK DNNLLDTIHAEFQASLADGDSPQCALIQITKRVPIFQDVPPPIIHIRSRGDIPRACQKSLRPAPPSPKIDRGWVCLFKMQ DGKTLGLKI >NP_690582.1 matrix protein [Reston ebolavirus] MRRGVLPTAPPAYNDIAYPMSILPTRPSVIVNETKSDVLAVPGADVPSNSMRPVADDNIDHSSHTPSGVASAFILEATVN VISGTKVLMKQIPIWLPLGVADQKIYSFDSTTAAIMLASYTVTHFGKISNPLVRVNRLGPGIPDHPLRLLRLGNQAFLQE FVLPPVQLPQYFTFDLTALKLITQPLPAATWTDETPAGAVNALRPGLSLHPKLRPILLPGKTGKKGHASDLTSPDKIQTI MNAIPDLKIVPIDPTKNIVGIEVPELLVQRLTGKKPQPKNGQPIIPVLLPKYVGLDPISPGDLTMVITQDCDSCHSPASH PYHMDKQNSYQ >NP_690583.1 spike glycoprotein [Reston ebolavirus] MGSGYQLLQLPRERFRKTSFLVWVIILFQRAISMPLGIVTNSTLKATEIDQLVCRDKLSSTSQLKSVGLNLEGNGIATDV PSATKRWGFRSGVPPKVVSYEAGEWAENCYNLEIKKSDGSECLPLPPDGVRGFPRCRYVHKVQGTGPCPGDLAFHKNGAF FLYDRLASTVIYRGTTFAEGVVAFLILSEPKKHFWKATPAHEPVNTTDDSTSYYMTLTLSYEMSNFGGNESNTLFKVDNH TYVQLDRPHTPQFLVQLNETLRRNNRLSNSTGRLTWTLDPKIEPDVGEWAFWETKKNFSQQLHGENLHFQIPSTHTNNSS DQSPAGTVQGKISYHPPANNSELVPTDSPPVVSVLTAGRTEEMSTQGLTNGETITGFTANPMTTTIAPSPTMTSEVDNNV PSEQPNNTASIEDSPPSASNETIYHSEMDPIQGSNNSAQSPQTKTTPAPTTSPMTQDPQETANSSKPGTSPGSAAGPSQP GLTINTVSKVADSLSPTRKQKRSVRQNTANKCNPDLYYWTAVDEGAAVGLAWIPYFGPAAEGIYIEGVMHNQNGLICGLR QLANETTQALQLFLRATTELRTYSLLNRKAIDFLLQRWGGTCRILGPSCCIEPHDWTKNITDEINQIKHDFIDNPLPDHG DDLNLWTGWRQWIPAGIGIIGVIIAIIALLCICKILC >NP_690584.1 small secreted glycoprotein [Reston ebolavirus] MGSGYQLLQLPRERFRKTSFLVWVIILFQRAISMPLGIVTNSTLKATEIDQLVCRDKLSSTSQLKSVGLNLEGNGIATDV PSATKRWGFRSGVPPKVVSYEAGEWAENCYNLEIKKSDGSECLPLPPDGVRGFPRCRYVHKVQGTGPCPGDLAFHKNGAF FLYDRLASTVIYRGTTFAEGVVAFLILSEPKKHFWKATPAHEPVNTTDDSTSYYMTLTLSYEMSNFGGNESNTLFKVDNH TYVQLDRPHTPQFLVQLNETLRRNNRLSNSTGRLTWTLDPKIEPDVGEWAFWETKKTFPNNFMEKTCISKFHQPTPTTPQ IRARRELSKEKLATTHPPTTPSWFQRIPLQWFQCSLQDGQRKCRPKV >NP_690585.1 minor nucleoprotein [Reston ebolavirus] MEHSRERGRSSNMRHNSREPYENPSRSRSLSRDPNQVDRRQPRSASQIRVPNLFHRKKTDALIVPPAPKDICPTLKKGFL CDSKFCKKDHQLDSLNDHELLLLIARRTCGIIESNSQITSPKDMRLANPTAEDFSQGNSPKLTLAVLLQIAEHWATRDLR QIEDSKLRALLTLCAVLTRKFSKSQLGLLCETHLRHEGLGQDQADSVLEVYQRLHSDKGGNFEAALWQQWDRQSLIMFIS AFLNIALQIPCESSSVVVSGLATLYPAQDNSTPSEATNDTTWSSTVE >NP_690586.1 membrane-associated protein [Reston ebolavirus] MAKATGRYNLVPPKKDMEKGVIFSDLCNFLITQTLQGWKVYWAGIEFDVSQKGMALLTRLKTNDFAPAWAMTRNLFPHLF QNPNSVIQSPIWALRVILAAGLQDQLLDHSLVEPLTGALGLISDWLLTTTSTHFNLRTRSVKDQLSLRMLSLIRSNILQF INKLDALHVVNYNGLLSSIEIGTSTHTIIITRTNMGFLVEVQEPDKSAMNSKRPGPVKFSLLHESAFKPFTRVPQSGMQS LIMEFNSLLAI >NP_690587.1 RNA-dependent RNA polymerase [Reston ebolavirus] MATQHTQYPDARLSSPIVLDQCDLVTRACGLYSSYSLNPQLRQCKLPKHIYRLKFDTIVSKFLSDTPVATLPIDYLVPIL LRSLTGHGDRPLTPTCNQFLDEIINYTLHDAAFLDYYLKATGAQDHLTNIATREKLKNEILNNDYVHQLFFWHDLSILAR RGRLNRGNNRSTWFVHDEFIDILGYGDYIFWKIPLSLLPVTIDGVPHAATDWYQPTLFKESILGHSQILSVSTAEILIMC KDIITCRFNTSLIASIAKLEDVDVSDYPDPSDILKIYNAGDYVISILGSEGYKIIKYLEPLCLAKIQLCSKFTERKGRFL TQMHLSVINDLRELISNRRLKDYQQEKIRDFHKILLQLQLSPQQFCELFSVQKHWGHPILHSEKAIQKVKRHATILKALR PNVIFETYCVFKYNIAKHYFDSQGTWYSVISDRNLTPGLNSFIKRNHFPSLPMIKDLLWEFYHLNHPPLFSTKVISDLSI FIKDRATAVEQTCWDAVFEPNVLGYNPPNKFSTKRVPEQFLEQEDFSIESVLNYAQELHYLLPQNRNFSFSLKEKELNIG RTFGKLPYLTRNVQTLCEALLADGLAKAFPSNMMVVTEREQKESLLHQASWHHTSDDFGENATVRGSSFVTDLEKYNLAF RYEFTAPFIEYCNHCYGVRNVFNWMHYLIPQCYMHVSDYYNPPHNVNLSNREYPPEGPSSYRGHLGGIEGLQQKLWTSIS CAQISLVEIKTGFKLRSAVMGDNQCITVLSVFPLKTDPEEQEQSAEDNAARVAASLAKVTSACGIFLKPDETFVHSGFIY FGKKQYLNGVQLPQSLKTAARMAPLSDAIFDDLQGTLASIGTAFERAISETRHILPCRIVAAFHTYFAVRILQYHHLGFN KGIDLGQLSLSKPLDYGTITLTLAVPQVLGGLSFLNPEKCFYRNFGDPVTSGLFQLRVYLEMVNMKDLFCPLISKNPGNC SAIDFVLNPSGLNVPGSQDLTSFLRQIVRRSITLTARNKLINTLFHASADLEDEMVCKWLLSSNPVMSRFAADIFSRTPS GKRLQILGYLEGTRTLLASKIINNNSETPVLDKLRKITLQRWNLWFSYLDHCDQLLADALQKISCTVDLAQILREYTWSH ILEGRSLIGATLPCMVEQFKVKWLGQYEPCPECLNKKGSNAYVSVAVKDQVVSAWPNTSRISWTIGSGVPYIGSRTEDKI GQPAIKPRCPSSALKEAIELASRLTWVTQGGSNSEQLIRPFLEARVNLSVSEVLQMTPSHYSGNIVHRYNDQYSPHSFMA NRMSNTATRLIVSTNTLGEFSGGGQAARDSNIIFQNVINLAVALYDIRFRNTNTSDIRHNRAHLHLTECCTKEVPAQYLT YTSALNLDLSRYRDNELIYDSNPLKGGLNCNLTIDSPLVKGPRLNMIEDDLLRFPHLSGWELAKTVVQSIISDNSNSSTD PISSGETRSFTTHFLTYPQIGLLYSFGAVLCFYLGNTILWTKKLDYEQFLYYLHNQLHNLPHRALRVFKPTFKHASVMSR LMEIDSNFSIYIGGTSGDRGLSDAARLFLRTAIASFLQFLKSWIIDRQKTIPLWIVYPLEGQQPESINEFLHKILGLLKQ GPKSIPKEVSIQNDGHLDLAENNYVYNSKSTASNFFHASLAYWRSRKSRKTQDHNDFSRGDGTLTEPVRKFSSNHQSDEK YYNVTCGKSPKPQERKDFSQYRLSNNGQTMSNHRKKGKFHKWNPCKMLMESQRGTVLTEGDYFQNNTPPTDDVSSPHRLI LPFFKLGNHNHAHDQDAQELMNQNIKQYLHQLRSMLDTTIYCRFTGIVSSMHYKLDEVLLEYNSFDSAITLAEGEGSGAL LLLQKYSTRLLFLNTLATEHSIESEVVSGFSTPRMLLPIMQKVHEGQVTVILNNSASQITDITSSMWLSNQKYNLPCQVE IIMMDAETTENLNRSQLYRAVYNLILDHIDPQYLKVVVLKVFLSDIEGILWINDYLAPLFGAGYLIKPITSSARSSEWYL CLSNLISTNRRSAHQTHKACLGVIRDALQAQVQRGVYWLSHIAQYATKNLHCEYIGLGFPSLEKVLYHRYNLVDTGLGPL SSVIRHLTNLQAEIRDLVLDYNLMRESRTQTYHFIKTAKGRITKLVNDFLKFSLIVQALKNNSSWYTELKKLPEVINVCN RFYHTHNCECQEKFFVQTLYLQRLRDAEIKLIERLTGLMRFYPEGLIYSNHT >YP_009246340.1 second secreted glycoprotein [Reston ebolavirus] MGSGYQLLQLPRERFRKTSFLVWVIILFQRAISMPLGIVTNSTLKATEIDQLVCRDKLSSTSQLKSVGLNLEGNGIATDV PSATKRWGFRSGVPPKVVSYEAGEWAENCYNLEIKKSDGSECLPLPPDGVRGFPRCRYVHKVQGTGPCPGDLAFHKNGAF FLYDRLASTVIYRGTTFAEGVVAFLILSEPKKHFWKATPAHEPVNTTDDSTSYYMTLTLSYEMSNFGGNESNTLFKVDNH TYVQLDRPHTPQFLVQLNETLRRNNRLSNSTGRLTWTLDPKIEPDVGEWAFWETKKLFPTTSWRKLAFPNSINPHQQLLR SEPGGNCPRKN ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Sudan_ebolavirus/GCF_000855585.1_ViralProj15012_genomic.fna ================================================ >NC_006432.1 Sudan ebolavirus isolate Sudan virus/H.sapiens-tc/UGA/2000/Gulu-808892, complete genome CGGACACACAAAAAGAAAGAAAAGTTTTTTATACTTTTTGTGTGCGAATAACTATGAGGAAGATTAATCATTTTCCTCAA ACTCAAACTAATATTAACATTGAGATTGATCTCATCATTTACCAATTGGAGACAATTTAACTAGTCAATCCCCCATTTGG GGGCATTCCTAAAGTGTTGCAAAGGTATGTGGGTCGTATTGCTTTGCCTTTTCCTAACCTGGCTCCTCCTACAATTCTAA CCTGCTTGATAAGTGTGATTACCTGAGTAATAGACTAATTTCGTCCTGGTAATTAGCATTTTCTAGTAAAACCAATACTA TCTCAAGTCCTAAGAGAAGGTGAGAAGAGGGTCCCGAGGTATCCCTCCAGTCCACAAAATCTAGCTAATTTTAGCTGAGT GGACTGATTACTCTCATCACACGCTAACTACTAAGGGTTTACCTGAGAGCCTACAACATGGATAAACGGGTGAGAGGTTC ATGGGCCCTGGGAGGACAATCTGAAGTTGATCTTGACTACCACAAAATATTAACAGCCGGGCTTTCGGTCCAACAAGGGA TTGTGCGACAAAGAGTCATCCCGGTATATGTTGTGAGTGATCTTGAGGGTATTTGTCAACATATCATTCAGGCCTTTGAA GCAGGCGTAGATTTCCAAGATAATGCTGACAGCTTCCTTTTACTTTTATGTTTACATCATGCTTACCAAGGAGATCATAG GCTCTTCCTCAAAAGTGATGCAGTTCAATACTTAGAGGGCCATGGTTTCAGGTTTGAGGTCCGAGAAAAGGAGAATGTGC ACCGTCTGGATGAATTGTTGCCCAATGTCACCGGTGGAAAAAATCTTAGGAGAACATTGGCTGCAATGCCTGAAGAGGAG ACAACAGAAGCTAATGCTGGTCAGTTTTTATCCTTTGCCAGTTTGTTTCTACCCAAACTTGTCGTTGGGGAGAAAGCGTG TCTGGAAAAAGTACAAAGGCAGATTCAGGTCCATGCAGAACAAGGGCTCATTCAATATCCAACTTCCTGGCAATCAGTTG GACACATGATGGTGATCTTCCGTTTGATGAGAACAAACTTTTTAATCAAGTTCCTACTAATACATCAGGGGATGCACATG GTCGCAGGCCATGATGCGAATGACACAGTAATATCTAATTCTGTTGCCCAAGCAAGGTTCTCTGGTCTTCTGATTGTAAA GACTGTTCTGGACCACATCCTACAAAAAACAGATCTTGGAGTACGACTTCATCCACTGGCCAGGACAGCAAAAGTCAAGA ATGAGGTCAGTTCATTCAAGGCAGCTCTTGGCTCACTTGCCAAGCATGGAGAATATGCTCCATTTGCACGTCTCCTCAAT CTTTCTGGAGTCAACAACTTGGAACATGGGCTTTATCCACAACTCTCAGCCATTGCTTTGGGTGTTGCAACTGCCCACGG GAGCACGCTGGCTGGTGTTAATGTAGGGGAGCAATATCAGCAACTGCGTGAGGCTGCTACTGAAGCTGAAAAGCAACTCC AACAATATGCTGAAACACGTGAGTTGGACAACCTTGGGCTTGATGAACAGGAAAAGAAGATTCTCATGAGCTTCCACCAG AAGAAGAATGAGATCAGCTTCCAGCAAACTAACGCAATGGTAACCCTGAGGAAAGAGCGGCTGGCCAAACTGACCGAAGC CATCACGACTGCATCAAAGATCAAGGTTGGAGATCGTTATCCTGATGACAATGATATTCCATTTCCCGGGCCGATCTATG ATGAAACCCACCCCAACCCTTCTGATGATAATCCTGATGATTCACGTGATACAACTATCCCAGGTGGTGTTGTTGACCCG TATGATGATGAGAGTAATAATTATCCTGACTACGAGGATTCGGCTGAAGGCACCACAGGAGATCTTGATCTCTTCAATTT GGACGACGACGATGACGACAGCCAACCAGGACCACCAGACAGGGGGCAGAGCAAGGAAAGAGCGGCTCGGACACATGGCC TCCAAGATCCGACCTTGGACGGAGCGAAAAAGGTGCCGGAGTTGACCCCAGGTTCCCACCAACCAGGCAACCTCCACATC ACCAAGCCGGGTTCAAACACCAACCAACCACAAGGCAATATGTCATCTACTCTCCAGAGTATGACCCCTATACAGGAAGA ATCAGAGCCCGATGATCAGAAAGATGATGATGACGAGAGTCTCACATCCCTTGACTCTGAAGGTGACGAAGATGTTGAGA GCGTATCAGGGGAGAACAACCCAACTGTAGCTCCACCAGCACCAGTCTACAAAGATACTGGAGTAGACACTAATCAGCAA AATGGACCAAGCAATGCTGTAGATGGTCAAGGTTCTGAAAGTGAAGCTCTCCCAATCAACCCCGAAAAGGGATCTGCACT GGAAGAAACATATTATCATCTCCTAAAAACACAGGGTCCATTTGAGGCAATCAATTATTATCACCTAATGAGTGATGAGC CCATTGCTTTTAGCACTGAAAGTGGCAAGGAATATATCTTCCCAGATTCTCTTGAAGAAGCCTACCCGCCTTGGTTGAGT GAGAAGGAGGCCTTAGAGAAAGAAAATCGTTATCTGGTCATTGATGGCCAGCAATTCCTCTGGCCAGTAATGAGCCTACA GGACAAGTTCCTTGCTGTTCTTCAACATGACTGAGGACCCATGATTAGTAGATTTTGTTTATTCTGAGCTTGATTATAAT TGTTTTGATAATTCAAGTATGAGCAACCAACCCGAAATATAAACCCTATTTTAGTTATGAGGAAATTAAATAAATAATCT GTAAGTTGTAGGACTATGAAGAGCTGCTTGTGTCAATTTATCACGGGCTAATACCCATACCGCAAGAATAATTATTTAGT AATTTTGATCAGCTTATGATATGTACCAATAGGAAAACATTATAGCATTAAAACATAAAGTATCCTTCGATGAGCTTAGG AGGATAATATCCTGATGAATTCTATAGAACTTAGGATTAAGAAAAAATTCATGATGAAGATTAAAACCTTCATCATCCTT TAAAAAGAGAGCTATTCTTTATCTGAATGTCCTTATTAATGTCTAAGAGCTATTATTTTGTACCCTCTTAGCCTAGACAC TGCCCAGCATATAAGCCATGCAGCAGGATAGGACTTATAGACATCATGGACCCGAAGTGTCTGGCTGGTTTTCTGAGCAA TTAATGACCGGCAAAATACCGCTAACAGAGGTGTTTGTTGATGTTGAAAACAAACCAAGTCCTGCCCCGATAACCATTAT TAGTAAGAATCCCAAGACAACACGTAAAAGTGATAAGCAAGTCCAAACAGATGATGCCAGTAGCTTATTGACAGAAGAAG TCAAGGCTGCCATAAATTCGGTGATATCAGCTGTGCGTCGGCAAACCAATGCTATTGAATCACTAGAAGGTCGAGTAACA ACTCTTGAGGCCAGCTTAAAACCCGTTCAAGACATGGCAAAGACCATATCATCCCTGAATCGCAGCTGTGCCGAAATGGT TGCAAAATACGACCTACTGGTGATGACCACTGGGCGAGCAACTGCCACTGCTGCAGCAACAGAAGCATATTGGAATGAAC ATGGACAAGCACCTCCAGGCCCATCATTGTACGAGGATGATGCTATTAAGGCTAAATTGAAAGATCCGAACGGGAAGGTT CCAGAAAGTGTCAAACAGGCCTACATAAATCTAGATAGCACAAGTGCCCTCAATGAGGAAAATTTCGGGCGACCTTACAT TTCAGCAAAAGATCTCAAGGAAATCATCTATGACCATCTCCCAGGATTTGGGACAGCTTTTCATCAGTTGGTGCAGGTTA TCTGCAAAATTGGTAAGGATAATAATATCCTAGACATAATTCATGCAGAATTCCAAGCAAGCTTGGCTGAGGGAGACTCC CCCCAGTGTGCATTAATCCAGATAACAAAACGGATCCCTGCTTTCCAAGATGCCTCTCCTCCAATTGTGCATATCAAGTC TCGAGGAGATATACCCAAAGCCTGTCAGAAAAGCCTCCGGCCGGTCCCACCGTCACCAAAGATCGATAGAGGTTGGGTCT GTATTTTTCAATTCCAAGACGGGAAGGCCCTTGGGCTAAAAATATGATACAGAAGCAAGGTAAGCTCATTTTGCGATGGC CAAATGATACTTATGACTGTTTAAAATCAAGTTAGACTAATAGTCTATTGTGTCATAAGCTTATAAGTCAGTTTTAAATT TCCCCTCTATCCTAATCAATTGATAATGCTGTCAATAGGGAAATTCCCCTGTATTGTAATAAGACCTCATTAACATATTT CCCCTGCTTAGTACTATGCAGAAACCCCCGAGCAAATTAAAATTGATGAAGATTAAGAAAAAGAGGGATTTTCTCAGGAA AAATCTTTTTTCTTACCTTCATCTCATTTAAACAAATTTAGGACTCAGGAAAAATGAGAAGGGTCACTGTGCCGACTGCA CCACCTGCCTATGCTGACATTGGCTATCCTATGAGCATGCTTCCCATCAAGTCAAGCAGGGCTGTGAGTGGAATTCAACA GAAACAAGAGGTCCTTCCTGGAATGGATACACCATCAAATTCTATGAGACCTGTTGCTGATGATAACATTGATCATACAA GTCATACCCCGAACGGAGTGGCCTCAGCATTCATCTTGGAGGCAACTGTCAATGTGATCTCGGGGCCCAAAGTCCTCATG AAACAAATCCCTATTTGGTTGCCACTCGGAATTGCTGACCAAAAAACGTACAGTTTTGACTCAACAACAGCAGCAATTAT GCTCGCATCTTATACGATCACCCATTTTGGAAAGGCCAACAACCCCCTCGTTAGAGTGAATCGACTTGGTCAGGGAATAC CGGATCACCCACTCAGATTGCTCAGGATGGGGAACCAGGCTTTCCTTCAAGAGTTTGTGCTACCACCAGTTCAACTGCCG CAATATTTCACTTTTGATCTGACTGCACTCAAACTAGTGACACAGCCTCTCCCTGCTGCAACATGGACAGATGAGACTCC GAGCAACCTTTCAGGAGCCCTTCGTCCCGGGCTTTCATTTCACCCAAAGCTGAGACCCGTTCTACTTCCAGGCAAGACGG GAAAGAAAGGGCATGTTTCTGATCTGACTGCCCCAGACAAAATTCAGACAATTGTGAACCTGATGCAAGATTTCAAAATC GTGCCAATTGATCCAGCTAAGAGTATCATTGGGATCGAGGTTCCAGAATTGCTGGTCCACAAGCTCACTGGGAAGAAAAT GAGTCAGAAGAATGGACAGCCTATAATTCCTGTCTTACTCCCAAAATACATTGGGCTAGATCCAATCTCACCTGGAGACC TGACTATGGTCATAACACCAGATTATGATGATTGTCATTCACCTGCCAGTTGCTCTTATCTCAGTGAAAAGTGATTCTCA CAAAGTGAGAGAAACACCTCCAGTAAAGAAATCAAATCTTATCTATAGCAACTCAATCGACTTTTAGGAAGCTAGCAGTC CATATACTATGGGACAACTCAACCCTCTTGTTAAAATGTACTAATCGGGTCAAGGAACTCTCACTGATCAAGCCTGAATC CAAGATAGAACCAGCCCAAAGGGCCTCCCCAGAGTCTCTTACAAGCTTAGCCAATCAATTAACATGCATAAGCGATCCAT ACTTCGCCCAATCAGTGTCCGATGTTCACCCCTTCAAGCCTCCTTCCTAGCAAATTGACCTAGCTGTACCAAGAGATTCC CTCAGCCTCCTTCTCAAATAACCTGATCCTCGAGGGTTACACCTTCACCACTCTATGCTCATTTCACCCAAACATAAAAT GAAATGTCTTAACATGATTGCACCATTAAGAAAAACAAATCTGATGAAGATTAAGCCTGATGAAGGCCCAACCTTCATCT TTTTACCATAATCTTGTTCTCAGTACCATTTGATAAGGGTACACTTGCCAATACGCCCCCATCCTAAGGGTCTCGCAATG GGGGGTCTTAGCCTACTCCAATTGCCCAGGGACAAATTTCGGAAAAGCTCTTTCTTTGTTTGGGTCATCATCTTATTCCA AAAGGCCTTTTCCATGCCTTTGGGTGTTGTGACTAACAGCACTTTAGAAGTAACAGAGATTGACCAGCTAGTCTGCAAGG ATCATCTTGCATCTACTGACCAGCTGAAATCAGTTGGTCTCAACCTCGAGGGGAGCGGAGTATCTACTGATATCCCATCT GCAACAAAGCGTTGGGGCTTCAGATCTGGTGTTCCTCCCAAGGTGGTCAGCTATGAAGCGGGAGAATGGGCTGAAAATTG CTACAATCTTGAAATAAAGAAGCCGGACGGGAGCGAATGCTTACCCCCACCGCCAGATGGTGTCAGAGGCTTTCCAAGGT GCCGCTATGTTCACAAAGCCCAAGGAACCGGGCCCTGCCCAGGTGACTACGCCTTTCACAAGGATGGAGCTTTCTTCCTC TATGACAGGCTGGCTTCAACTGTAATTTACAGAGGAGTCAATTTTGCTGAGGGGGTAATTGCATTCTTGATATTGGCTAA ACCAAAAGAAACGTTCCTTCAGTCACCCCCCATTCGAGAGGCAGTAAACTACACTGAAAATACATCAAGTTATTATGCCA CATCCTACTTGGAGTATGAAATCGAAAATTTTGGTGCTCAACACTCCACGACCCTTTTCAAAATTGACAATAATACTTTT GTTCGTCTGGACAGGCCCCACACGCCTCAGTTCCTTTTCCAGCTGAATGATACCATTCACCTTCACCAACAGTTGAGTAA TACAACTGGGAGACTAATTTGGACACTAGATGCTAATATCAATGCTGATATTGGTGAATGGGCTTTTTGGGAAAATAAAA AAATCTCTCCGAACAACTACGTGGAGAAGAGCTGTCTTTCGAAGCTTTATCGCTCAACGAGACAGAAGACGATGATGCGG CATCGTCGAGAATTACAAAGGGAAGAATCTCCGACCGGGCCACCAGGAAGTATTCGGACCTGGTTCCAAAGAATTCCCCT GGGATGGTTCCATTGCACATACCAGAAGGGGAAACAACATTGCCGTCTCAGAATTCGACAGAAGGTCGAAGAGTAGGTGT GAACACTCAGGAGACCATTACAGAGACAGCTGCAACAATTATAGGCACTAACGGCAACCATATGCAGATCTCCACCATCG GGATAAGACCGAGCTCCAGCCAAATCCCGAGTTCCTCACCGACCACGGCACCAAGCCCTGAGGCTCAGACCCCCACAACC CACACATCAGGTCCATCAGTGATGGCCACCGAGGAACCAACAACACCACCGGGAAGCTCCCCCGGCCCAACAACAGAAGC ACCCACTCTCACCACCCCAGAAAATATAACAACAGCGGTTAAAACTGTCCTGCCACAGGAGTCCACAAGCAACGGTCTAA TAACTTCAACAGTAACAGGGATTCTTGGGAGTCTTGGGCTTCGAAAACGCAGCAGAAGACAAACTAACACCAAAGCCACG GGTAAGTGCAATCCCAACTTACACTACTGGACTGCACAAGAACAACATAATGCTGCTGGGATTGCCTGGATCCCGTACTT TGGACCGGGTGCGGAAGGCATATACACTGAAGGCCTGATGCATAACCAAAATGCCTTAGTCTGTGGACTTAGGCAACTTG CAAATGAAACAACTCAAGCTCTGCAGCTTTTCTTAAGAGCCACAACGGAGCTGCGGACATATACCATACTCAATAGGAAG GCCATAGATTTCCTTCTGCGACGATGGGGCGGGACATGCAGGATCCTGGGACCAGATTGTTGCATTGAGCCACATGATTG GACAAAAAACATCACTGATAAAATCAACCAAATCATCCATGATTTCATCGACAACCCCTTACCTAATCAGGATAATGATG ATAATTGGTGGACGGGCTGGAGACAGTGGATCCCTGCAGGAATAGGCATTACTGGAATTATTATTGCAATTATTGCTCTT CTTTGCGTTTGCAAGCTGCTTTGCTGAATATCAATTTGAATCATCAATTTAAGCTTGATACATTTCTAGCATTTTAAATT ATAAACCGATACTGATACTTGAAAATCAGGCTAATGCCAAGTTCTGTGCAAAACTTGAAAGTAGGTTTACAAAAATCCTT TGGACTGGAATGCTTTGATACTCTTTCTCAATACTATATAAGTTCCTTCCCAAGAATAATATTGATGAAGATTAAGAAAA AGTGACATTGTGCCCACTTTTGTAATCTTCATCCACCTACACATTCATATTCAGGAATCTTTGAATTAACCCTCACACTT GCTTAGGAAAGAGCCTATCCTCTACAAGAATCCCGAGGCGGCAATTCAGTTAATTTCATATCAAGATAACATCCATTTCC AAGACCACAGATAACTATATTATTAATCTTTACCACAAATATGGAGAGGGGTCGTGAGCGCGGGAGATCAAGGAATTCAC GTGCCGACCAGCAAAATTCAACAGGTCCTCAATTTAGGACAAGATCCATTTCCCGGGATAAGACAACAACAGACTACCGT AGTAGTCGAAGTACTTCGCAAGTTAGAGTCCCTACGGTTTTCCATAAGAAAGGTACTGGGACCCTTACTGTCCCTCCAGC ACCTAAGGATGTTTGTCCTACTCTCAGAAAAGGATTTCTATGTGATAGTAATTTCTGTAAAAAGGACCATCAACTTGAAA GCCTAACCGACCGGGAGCTCCTACTTCTTATAGCACGGAAGACCTGTGGATCAACTGATTCATCGCTTAATATAGCTGCT CCTAAAGACCTAAGACTAGCAAATCCTACGGCTGATGACTTCAAGCAAGACGGCAGTCCAAAATTAACCCTAAAATTACT AGTCGAGACTGCTGAGTTTTGGGCCAATCAGAATATTAATGAAGTAGATGATGCAAAACTCCGTGCTCTCTTGACGTTGA GTGCTGTCTTAGTGCGGAAATTCTCTAAGTCACAGCTTAGTCAATTATGTGAGAGTCATCTTAGGAGGGAAAACTTAGGA CAAGACCAAGCTGAATCAGTTCTCGAGGTTTATCAACGTTTACATAGTGACAAAGGAGGTGCTTTTGAGGCAGCACTATG GCAACAGTGGGATAGACAATCATTAACTATGTTTATATCTGCTTTCCTCCATGTAGCATTGCAACTTTCCTGTGAGAGCT CCACTGTAGTGATATCAGGCCTACGCTTACTTGCCCCCCCAAGCGTTAATGAAGGGCTCCCTCCTGCACCAGGGGAATAT ACTTGGTCAGAAGATAGTACAACTTAGCCTGTAGGGAGGACAAGTAAAACAAGATGCCCTTATCCTCTATAGATGGTATT TTTAGAGAGGGGGACAGGATAGGAATAAAGATAATGACTAAAGCCAATATAAAGATACGAACACAAGTAGAAATTAAAAT AGAAATCAAAACAATCTCCCCTTATTCAATATGAAATATAATAGTGAGTATTTGTTTCATGATGTCAATCATTTATTGTT AAAAATAAACAAAGTCAGTAAGAGTGTTAGGATCGTTATATTGCAAGGATCCTCCCTAGAAGCGTTGAATCATCTCAAGT AGCCTAGAACAAGAACAGCAGAGCATTAAATTGAAATAGATAATAAGGATATTGCTTGTTTTTAAGATAGTTTTAGGAAG TTTAAAATTAAGAAAAAGAACCCATGGACACACTCTAGCATTGAGGATGGGGTTCCCTTGATGATAGTATAGTCTTAGGT ATAGGGTAGTCCTACACGTACTATATTATACAGTCTAAACTTGTAAAATTAAACTACAAGAACATGATGAAAATTAATGA GAAGGTTCCAAGATTGACTTCAATCCAAACACCTTGCTCTGCCAATTTTCATCTCCTTAAGATATATGATTTTGTTCCTG CGAGATAAGGTTATCAAATAGGGTGTGTATCTCTTTTACATATTTGGGCTCCCACTAGGCTAGGGTTTATAGTTAAGGAA GACTCATCACATTTTTTATTGAACTAGTCTACTCGCAGAATCCTACCGGGAATAGAAATTAGAACATTTGTGATACTTTG ACTATAGGAAATAATTTTCAACACTACCTGAGATCAGGTTATTCTTCCAACTTATTCTGCAAGTAATTGTTTAGCATCAT AACAACAACGTTATAATTTAAGAATCAAGTCTTGTAACAGAAATAAAGATAACAGAAAGAACCTTTATTATACGGGTCCA TTAATTTTATAGGAGAAGCTCCTTTTACAAGCCTAAGATTCCATTAGAGATAACCAGAATGGCTAAAGCCACAGGCCGGT ACAACTTGGTAACACCAAAACGGGAGCTAGAGCAAGGAGTTGTGTTTAGCGACCTATGCAACTTCCTAGTGACTCCAACT GTGCAAGGATGGAAGGTTTACTGGGCTGGACTTGAGTTTGATGTCAACCAAAAGGGTATTACCCTGTTAAATCGTCTTAA AGTGAATGATTTTGCTCCTGCATGGGCGATGACCCGGAACCTCTTCCCACACTTGTTCAAAAACCAACAGTCTGAAGTCC AAACTCCCATTTGGGCCTTGAGGGTAATTCTTGCCGCCGGGATTCTTGACCAATTAATGGATCATTCCCTCATTGAGCCG CTATCAGGGGCCCTGAACCTAATTGCTGATTGGTTACTAACAACATCTACTAATCACTTCAACATGAGAACTCAACGAGT AAAGGACCAACTGAGCATGAGGATGTTATCTCTTATAAGGTCAAATATTATTAACTTTATAAATAAGCTCGAGACTCTTC ATGTCGTTAATTACAAGGGACTTCTAAGCAGTGTTGAGATAGGAACACCAAGCTATGCAATCATCATTACCAGGACTAAT ATGGGTTATCTTGTCGAGGTTCAGGAACCAGATAAATCTGCGATGGATATACGACACCCTGGTCCTGTCAAATTCTCCTT ACTACATGAATCGACACTTAAACCTGTTGCCACTCCTAAACCATCAAGCATTACTTCATTGATCATGGAGTTCAACAGTT CTTTGGCAATTTAATTGCCGTAATAAAAATTGTACGATAGGGCTAACATTGATTCCATAATCCATCGTAGGACAGAATCA TTTTCCTGTATGATCTTAGTTTAATCTCTCTTTATACAATGATTAATAAGGAGCCTGTTTAAAATGTTACAAAAGTATAC TGTTTGAACCCCTAGTATCCCTGTAAATATCCTCATTCAATTTTTTGCTTTTACATGTGTAGTCACCTGTATAGCATGAC CCTAGTCATGCCTTTAATTAATACTTAATCTAACAGTTAATATAATGTATAACTTTCCATGTTCAAAGAGTAGTCAAAAC AATGTGAGATCCAGTTTCACTCACAGCATCTATTCACTATTTACAGTATGATGAGCCCAAATTAACACGGTAGAGGTCTA GATTTATTAATAGAACGAGGAAGATTAAGAAAAAGTCCATAATGCTGGGGAGGCAATCCTTGCCACCATAGGACTTTTTC AATTCCTCTATTTTATGATGGCTACCCAACATACACAATATCCTGATGCAAGATTGTCTTCCCCAATTGTCTTAGACCAA TGTGACCTAGTGACAAGAGCATGTGGACTTTACTCTGAGTATTCGCTGAACCCTAAACTAAAGACATGCCGTTTACCGAA ACATATCTATAGATTAAAATATGACACTATTGTTTTACGATTTATTAGTGATGTCCCTGTAGCTACAATCCCAATAGACT ACATTGCTCCGATGTTAATAAATGTTCTGGCAGATAGTAAAAATGTACCATTGGAACCTCCCTGCTTGAGTTTCTTGGAT GAAATAGTCAATTATACCGTGCAGGATGCAGCCTTCCTTAATTATTACATGAATCAGATTAAAACACAGGAAGGAGTAAT TACAGATCAATTAAAACAGAACATTCGTAGGGTCATTCACAAAAACAGATATCTATCTGCTCTATTCTTCTGGCATGATC TTGCCATCCTCACCCGTCGAGGGAGAATGAACCGAGGAAATGTGCGCTCCACTTGGTTTGTAACGAATGAGGTTGTTGAC ATTCTAGGATATGGTGATTATATCTTCTGGAAGATCCCTATTGCTCTATTACCAATGAACACAGCTAATGTTCCACATGC ATCAACTGACTGGTACCAACCTAATATCTTCAAGGAGGCTATTCAAGGACACACACATATTATTTCAGTCTCTACAGCCG AGGTCCTTATTATGTGTAAGGATCTTGTCACAAGTCGTTTTAATACCCTTCTGATTGCTGAGTTAGCCAGGTTGGAAGAT CCAGTGTCTGCTGATTATCCACTAGTAGATAATATTCAATCTCTGTATAACGCAGGAGACTACCTGTTGTCCATATTGGG ATCAGAGGGGTACAAAATAATCAAATATCTCGAACCTCTGTGTTTGGCTAAGATTCAACTATGTTCCCAATATACAGAAC GAAAAGGGCGGTTTTTAACCCAGATGCATCTTGCAGTTATTCAGACATTGCGTGAACTCCTCCTTAATAGAGGGTTGAAA AAATCACAATTGTCTAAAATCCGCGAGTTTCACCAACTGTTGCTCAGACTCCGATCTACACCACAACAATTATGTGAATT ATTTTCAATCCAAAAACACTGGGGCCACCCAGTTCTGCATAGTGAAAAGGCCATCCAAAAGGTTAAAAATCATGCAACAG TTCTAAAGGCATTGCGGCCGATTATCATCTTTGAAACGTATTGTGTATTCAAGTATAGTGTTGCAAAACATTTCTTTGAT AGTCAAGGCACTTGGTACAGTGTGATATCAGACCGATGTTTAACGCCGGGATTGAATTCCTACATTAGGCGAAATCAATT CCCTCCACTTCCAATGATCAAAGATCTTTTATGGGAATTTTACCATTTGGATCATCCTCCATTATTCTCCACGAAGATCA TTAGTGACCTCAGCATTTTCATTAAAGACCGCGCAACAGCAGTTGAACAAACCTGTTGGGATGCAGTTTTTGAGCCTAAC GTTTTGGGCTACAGTCCACCTTATCGATTCAATACCAAACGTGTACCTGAACAATTCCTGGAGCAAGAGGATTTTTCTAT TGAGAGTGTCTTACAATACGCCCAAGAACTTAGGTACTTATTGCCCCAGAATCGAAATTTTTCTTTTTCATTGAAGGAAA AAGAATTAAATGTTGGTAGGACATTTGGAAAATTGCCTTATTTAACCAGGAATGTCCAAACCCTCTGCGAAGCATTACTT GCAGATGGTTTGGCTAAAGCCTTTCCAAGCAATATGATGGTTGTCACAGAGAGGGAACAAAAGGAGAGCCTCCTTCACCA AGCATCCTGGCACCATACAAGTGATGATTTCGGAGAGCATGCCACAGTTCGTGGAAGTAGTTTTGTCACAGACCTGGAAA AATACAATCTGGCCTTCAGGTATGAATTCACAGCTCCCTTCATCAAATATTGCAACCAATGCTATGGGGTTCGCAATGTC TTTGATTGGATGCACTTCCTAATTCCGCAATGTTACATGCATGTTAGTGATTATTATAACCCACCACATAATGTAACCTT AGAGAATAGGGAATATCCCCCCGAAGGACCAAGTGCTTATAGAGGCCACCTTGGCGGTATTGAGGGGCTTCAACAAAAGT TATGGACTAGTATCTCATGTGCTCAAATCTCATTGGTAGAGATCAAGACCGGGTTCAAATTGCGATCAGCAGTCATGGGG GATAATCAATGTATTACAGTATTATCAGTCTTTCCACTAGAATCTAGTCCGAATGAGCAGGAGAGATGCGCAGAAGACAA TGCAGCCAGAGTGGCTGCTAGCTTGGCCAAAGTCACAAGTGCCTGTGGGATATTCCTCAAGCCTGATGAGACTTTCGTAC ACTCAGGCTTTATCTATTTTGGCAAAAAGCAATACTTGAACGGAATTCAATTACCTCAATCACTCAAGACAGCAGCTAGG ATGGCCCCTCTCTCAGATGCAATTTTTGATGACTTGCAAGGTACACTTGCCAGTATAGGAACTGCCTTTGAGCGATCAAT CTCCGAAACTAGACATATTTTACCATGCCGTGTTGCAGCTGCCTTTCATACATATTTCTCTGTTCGGATCTTACAACATC ATCACCTTGGTTTCCATAAGGGTTCAGACCTTGGACAATTGGCAATCAATAAACCTCTTGATTTCGGGACCATTGCACTA TCCTTAGCAGTTCCTCAGGTATTGGGTGGATTATCCTTCCTAAATCCAGAAAAGTGCCTTTATCGCAACTTGGGTGATCC TGTAACTTCAGGCCTATTTCAGTTGAAGCATTATCTGTCAATGGTGGGTATGAGTGATATCTTTCATGCACTTATTGCAA AAAGCCCAGGGAATTGTAGCGCAATTGACTTTGTTCTAAACCCAGGCGGGTTAAATGTCCCTGGATCACAGGATTTAACA TCTTTCCTTCGTCAGATTGTCAGAAGGAGTATCACACTTTCGGCAAGGAACAAGTTAATCAACACGTTATTTCACGCTTC TGCAGATCTTGAAGACGAATTAGTATGTAAATGGTTACTTTCTTCAACGCCCGTGATGAGCCGTTTTGCAGCCGATATTT TCTCACGAACACCAAGCGGGAAAAGATTACAAATCTTGGGATACCTCGAGGGAACCAGAACTTTATTAGCATCCAAAATG ATAAGCAATAATGCAGAGACACCAATCTTGGAGAGGCTCAGAAAAATAACACTTCAAAGATGGAATCTATGGTTTAGTTA CCTAGACCATTGTGACCCAGCTTTAATGGAAGCAATTCAACCAATTAAGTGTACTGTTGATATTGCTCAAATTCTTAGAG AATACTCCTGGGCTCATATCCTTGATGGTAGACAGTTAATAGGGGCAACACTGCCATGTATACCTGAGCAGTTCCAAACC ACATGGTTAAAACCTTACGAGCAATGTGTGGAATGTTCATCCACAAACAATTCTAGTCCATATGTATCAGTTGCATTAAA AAGGAACGTGGTTAGTGCTTGGCCTGATGCATCTAGATTGGGGTGGACGATTGGTGATGGGATTCCCTACATAGGCTCAA GAACTGAGGACAAAATAGGTCAGCCCGCTATTAAGCCGAGGTGCCCATCAGCTGCATTAAGAGAAGCTATTGAATTGACC TCTAGGTTGACCTGGGTCACTCAAGGTAGTGCAAACAGCGATCAGTTAATTCGCCCTTTTCTTGAGGCAAGAGTAAACTT GAGTGTACAAGAGATTCTTCAAATGACCCCCTCACATTACTCCGGTAATATTGTGCATCGGTATAATGATCAGTATAGCC CTCACTCCTTTATGGCTAACCGCATGAGTAACACAGCAACGCGCTTGATGGTATCTACCAACACACTAGGAGAGTTTTCC GGAGGGGGTCAGGCTGCACGTGATAGCAACATTATATTTCAAAATGTGATTAACTTTGCAGTGGCCTTGTATGACATTAG GTTTCGGAACACTTGTACATCTTCTATTCAATATCACAGGGCCCATATTCACCTGACGAATTGTTGTACGAGGGAAGTAC CGGCCCAATACTTAACATACACAACCACGCTAAATCTAGATTTGAGTAAGTACCGTAATAATGAACTGATTTATGATTCA GATCCACTAAGAGGAGGTCTCAACTGCAACTTATCGATTGACAGTCCTTTGATGAAGGGCCCACGTTTAAATATTATTGA GGATGACTTAATACGGTTGCCACATTTATCCGGCTGGGAATTAGCAAAAACAGTCTTGCAATCAATAATCTCTGATAGTA GCAATTCATCAACAGATCCCATTAGCAGCGGTGAAACAAGATCCTTCACAACCCACTTCTTAACGTATCCCAAAATAGGG CTTCTATACAGTTTTGGAGCCCTCATAAGTTTTTATTTGGGTAATACTATTCTATGCACGAAAAAGATCGGACTCACAGA ATTTCTATACTATCTCCAGAATCAGATCCACAACTTATCACATAGATCCCTTCGAATCTTCAAACCGACATTTAGACACT CAAGTGTCATGTCCAGGTTGATGGATATAGACCCCAACTTCTCAATATATATTGGTGGGACTGCAGGTGACCGTGGATTA TCGGACGCTGCAAGATTATTTCTCCGAATTGCAATTTCAACTTTCTTGAGCTTTGTTGAGGAGTGGGTTATCTTTAGGAA GGCAAACATCCCACTATGGGTTATCTATCCTCTCGAAGGCCAACGCTCTGATCCTCCTGGCGAATTTTTGAACCGAGTAA AATCTCTAATTGTTGGGACTGAAGATGATAAAAATAAAGGCTCTATACTTTCAAGATCTGGAGAGAAATGCTCTTCAAAT CTAGTTTATAATTGCAAGAGTACAGCAAGCAATTTTTTCCATGCATCATTGGCTTACTGGAGAGGTCGACATAGACCTAA GAAGACTATAGGTGCAACTAACGCGACAACAGCTCCACATATCATTTTGCCACTGGGAAATTCTGATCGACCGCCTGGCC TAGACCTTAATAGGAACAATGATACTTTCATTCCTACCAGAATTAAACAGATAGTCCAAGGAGACTCTAGAAACGACAGA ACGACCACCACGAGATTTCCACCCAAAAGTAGGTCCACTCCAACATCAGCAACCGAGCCTCCTACAAAAATGTATGAGGG TTCGACAACCCACCAAGGGAAATTAACAGATACACATTTGGATGAGGATCACAATGCCAAAGAGTTCCCATCCAATCCGC ATCGTTTAGTAGTACCATTCTTTAAATTAACAAAAGATGGGGAATACAGCATCGAACCTTCTCCTGAAGAAAGCCGCAGT AATATAAAAGGGTTACTTCAACATTTAAGAACCATGGTTGATACTACCATATATTGTCGCTTCACTGGAATTGTTTCATC AATGCATTATAAGTTAGATGAAGTACTATGGGAATATAATAAATTTGAATCAGCTGTAACCCTAGCAGAAGGGGAGGGTT CAGGTGCCTTACTACTGATCCAAAAATACGGCGTTAAGAAGTTATTTTTGAATACACTTGCTACTGAACATAGTATTGAG AGTGAAGTGATATCAGGTTACACCACTCCAAGGATGCTACTCCCAATTATGCCTAAAACACATCGTGGTGAGCTAGAGGT CATATTAAATAACTCAGCTAGTCAAATAACTGATATTACACATCGAGATTGGTTTTCAAATCAAAAAAATAGGATTCCAA ATGATGCTGATATTATTACCATGGATGCTGAAACTACAGAAAACTTAGATCGTTCCAGATTATATGAAGCAGTATATACG ATTATTTGTAATCATATCAATCCTAAAACTTTGAAAGTGGTCATCTTAAAAGTCTTCCTCAGCGATTTGGATGGGATGTG CTGGATTAACAATTATCTTGCTCCTATGTTTGGATCAGGATATTTAATCAAACCTATAACATCAAGTGCAAAGTCAAGTG AGTGGTATTTATGCTTATCTAATCTACTTTCAACCTTGAGAACTACTCAGCATCAAACCCAGGCAAACTGTCTCCATGTC GTACAATGTGCTCTTCAACAGCAAGTACAAAGAGGGTCATATTGGCTAAGTCATCTTACCAAATACACCACAAGTAGATT GCACAATAGTTATATTGCATTTGGTTTTCCTTCATTAGAGAAGGTCCTATATCATAGGTATAACCTTGTTGATTCGAGAA ATGGACCATTAGTTTCTATAACGAGACACCTTGCCCTCCTCCAAACTGAGATCCGGGAGTTGGTAACTGATTATAATCAG CTGCGACAAAGTCGAACCCAGACTTATCATTTCATAAAAACATCCAAGGGACGGATAACTAAACTAGTGAATGATTATCT AAGATTTGAGTTGGTTATACGGGCTCTTAAAAATAATTCTACATGGCACCATGAGTTATACTTGCTACCAGAACTTATAG GTGTTTGCCATCGATTTAATCATACACGTAACTGTACATGCAGTGAAAGGTTCCTGGTTCAAACTTTATATCTACACCGA ATGAGTGATGCTGAGATAAAACTTATGGACCGGCTCACCAGCCTAGTCAATATGTTTCCTGAAGGTTTCAGGTCTAGTTC AGTCTAATTCTAACTGCACCAAAGGCTCTAAAAATATTTTAAATAACCAGGTGTATATCAAAGTCAATACAAGTGTAAAA ACAATATGCAAGGGACCACATTTAGGATCAGTTTATTGACTCTTCCAATACACAGAGTTGGAAGCACCGATTCAAGGTTT CTAAGACGCCCTATCGATTATGTTGATAATGTAAATAATAGCTTTTCCTGTCTATTATGACTTAAATAATCATATCTATA ACGACCATCACAGCTAAGTCGTTGCCCTAGTTCATATATTAAATTAAAATTTAGAAGCTAGGTTGACTCTAATTACATAA GTATTAAGAAAAAATTACTAAGACTAATACTCTCATGCCAAGAACTAGTAATGTGTTTCACATGACAGATTATTTCTAAC ACTAAATTGCAATTTCAATTTTAAAGCTAAGTTTAACACCTATACAGCCAAAATATTTCATAGGGCCGATGGGAATAACA TAAGAGGAACATGATCAATGAACCCTTTATTCCAACTAGGCAGTTGATTGATAATCTACAAATTCCATAAGATGTTCTTA CGATATTCTTTTGTTTTTAATCTCAATGTCAATGATTTAATAAGTAATAATAAAAAAATCACATTAAAGATGCAGGAAGA TCTTGACCTCGCCAGGAAAATTAAGCGCACACAAATAAATTAAAAAATCTGTATTTTCTCTTTTTTGTGTGTCCA ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Sudan_ebolavirus/GCF_000855585.1_ViralProj15012_protein.faa ================================================ >YP_009246341.1 second secreted glycoprotein [Sudan ebolavirus] MGGLSLLQLPRDKFRKSSFFVWVIILFQKAFSMPLGVVTNSTLEVTEIDQLVCKDHLASTDQLKSVGLNLEGSGVSTDIP SATKRWGFRSGVPPKVVSYEAGEWAENCYNLEIKKPDGSECLPPPPDGVRGFPRCRYVHKAQGTGPCPGDYAFHKDGAFF LYDRLASTVIYRGVNFAEGVIAFLILAKPKETFLQSPPIREAVNYTENTSSYYATSYLEYEIENFGAQHSTTLFKIDNNT FVRLDRPHTPQFLFQLNDTIHLHQQLSNTTGRLIWTLDANINADIGEWAFWENKKSLRTTTWRRAVFRSFIAQRDRRR >YP_138520.1 nucleoprotein [Sudan ebolavirus] MDKRVRGSWALGGQSEVDLDYHKILTAGLSVQQGIVRQRVIPVYVVSDLEGICQHIIQAFEAGVDFQDNADSFLLLLCLH HAYQGDHRLFLKSDAVQYLEGHGFRFEVREKENVHRLDELLPNVTGGKNLRRTLAAMPEEETTEANAGQFLSFASLFLPK LVVGEKACLEKVQRQIQVHAEQGLIQYPTSWQSVGHMMVIFRLMRTNFLIKFLLIHQGMHMVAGHDANDTVISNSVAQAR FSGLLIVKTVLDHILQKTDLGVRLHPLARTAKVKNEVSSFKAALGSLAKHGEYAPFARLLNLSGVNNLEHGLYPQLSAIA LGVATAHGSTLAGVNVGEQYQQLREAATEAEKQLQQYAETRELDNLGLDEQEKKILMSFHQKKNEISFQQTNAMVTLRKE RLAKLTEAITTASKIKVGDRYPDDNDIPFPGPIYDETHPNPSDDNPDDSRDTTIPGGVVDPYDDESNNYPDYEDSAEGTT GDLDLFNLDDDDDDSQPGPPDRGQSKERAARTHGLQDPTLDGAKKVPELTPGSHQPGNLHITKPGSNTNQPQGNMSSTLQ SMTPIQEESEPDDQKDDDDESLTSLDSEGDEDVESVSGENNPTVAPPAPVYKDTGVDTNQQNGPSNAVDGQGSESEALPI NPEKGSALEETYYHLLKTQGPFEAINYYHLMSDEPIAFSTESGKEYIFPDSLEEAYPPWLSEKEALEKENRYLVIDGQQF LWPVMSLQDKFLAVLQHD >YP_138521.1 polymerase complex protein [Sudan ebolavirus] MQQDRTYRHHGPEVSGWFSEQLMTGKIPLTEVFVDVENKPSPAPITIISKNPKTTRKSDKQVQTDDASSLLTEEVKAAIN SVISAVRRQTNAIESLEGRVTTLEASLKPVQDMAKTISSLNRSCAEMVAKYDLLVMTTGRATATAAATEAYWNEHGQAPP GPSLYEDDAIKAKLKDPNGKVPESVKQAYINLDSTSALNEENFGRPYISAKDLKEIIYDHLPGFGTAFHQLVQVICKIGK DNNILDIIHAEFQASLAEGDSPQCALIQITKRIPAFQDASPPIVHIKSRGDIPKACQKSLRPVPPSPKIDRGWVCIFQFQ DGKALGLKI >YP_138522.1 matrix protein [Sudan ebolavirus] MRRVTVPTAPPAYADIGYPMSMLPIKSSRAVSGIQQKQEVLPGMDTPSNSMRPVADDNIDHTSHTPNGVASAFILEATVN VISGPKVLMKQIPIWLPLGIADQKTYSFDSTTAAIMLASYTITHFGKANNPLVRVNRLGQGIPDHPLRLLRMGNQAFLQE FVLPPVQLPQYFTFDLTALKLVTQPLPAATWTDETPSNLSGALRPGLSFHPKLRPVLLPGKTGKKGHVSDLTAPDKIQTI VNLMQDFKIVPIDPAKSIIGIEVPELLVHKLTGKKMSQKNGQPIIPVLLPKYIGLDPISPGDLTMVITPDYDDCHSPASC SYLSEK >YP_138523.1 spike glycoprotein [Sudan ebolavirus] MGGLSLLQLPRDKFRKSSFFVWVIILFQKAFSMPLGVVTNSTLEVTEIDQLVCKDHLASTDQLKSVGLNLEGSGVSTDIP SATKRWGFRSGVPPKVVSYEAGEWAENCYNLEIKKPDGSECLPPPPDGVRGFPRCRYVHKAQGTGPCPGDYAFHKDGAFF LYDRLASTVIYRGVNFAEGVIAFLILAKPKETFLQSPPIREAVNYTENTSSYYATSYLEYEIENFGAQHSTTLFKIDNNT FVRLDRPHTPQFLFQLNDTIHLHQQLSNTTGRLIWTLDANINADIGEWAFWENKKNLSEQLRGEELSFEALSLNETEDDD AASSRITKGRISDRATRKYSDLVPKNSPGMVPLHIPEGETTLPSQNSTEGRRVGVNTQETITETAATIIGTNGNHMQIST IGIRPSSSQIPSSSPTTAPSPEAQTPTTHTSGPSVMATEEPTTPPGSSPGPTTEAPTLTTPENITTAVKTVLPQESTSNG LITSTVTGILGSLGLRKRSRRQTNTKATGKCNPNLHYWTAQEQHNAAGIAWIPYFGPGAEGIYTEGLMHNQNALVCGLRQ LANETTQALQLFLRATTELRTYTILNRKAIDFLLRRWGGTCRILGPDCCIEPHDWTKNITDKINQIIHDFIDNPLPNQDN DDNWWTGWRQWIPAGIGITGIIIAIIALLCVCKLLC >YP_138524.1 small secreted glycoprotein [Sudan ebolavirus] MGGLSLLQLPRDKFRKSSFFVWVIILFQKAFSMPLGVVTNSTLEVTEIDQLVCKDHLASTDQLKSVGLNLEGSGVSTDIP SATKRWGFRSGVPPKVVSYEAGEWAENCYNLEIKKPDGSECLPPPPDGVRGFPRCRYVHKAQGTGPCPGDYAFHKDGAFF LYDRLASTVIYRGVNFAEGVIAFLILAKPKETFLQSPPIREAVNYTENTSSYYATSYLEYEIENFGAQHSTTLFKIDNNT FVRLDRPHTPQFLFQLNDTIHLHQQLSNTTGRLIWTLDANINADIGEWAFWENKKISPNNYVEKSCLSKLYRSTRQKTMM RHRRELQREESPTGPPGSIRTWFQRIPLGWFHCTYQKGKQHCRLRIRQKVEE >YP_138525.1 minor nucleoprotein [Sudan ebolavirus] MERGRERGRSRNSRADQQNSTGPQFRTRSISRDKTTTDYRSSRSTSQVRVPTVFHKKGTGTLTVPPAPKDVCPTLRKGFL CDSNFCKKDHQLESLTDRELLLLIARKTCGSTDSSLNIAAPKDLRLANPTADDFKQDGSPKLTLKLLVETAEFWANQNIN EVDDAKLRALLTLSAVLVRKFSKSQLSQLCESHLRRENLGQDQAESVLEVYQRLHSDKGGAFEAALWQQWDRQSLTMFIS AFLHVALQLSCESSTVVISGLRLLAPPSVNEGLPPAPGEYTWSEDSTT >YP_138526.1 membrane-associated protein [Sudan ebolavirus] MAKATGRYNLVTPKRELEQGVVFSDLCNFLVTPTVQGWKVYWAGLEFDVNQKGITLLNRLKVNDFAPAWAMTRNLFPHLF KNQQSEVQTPIWALRVILAAGILDQLMDHSLIEPLSGALNLIADWLLTTSTNHFNMRTQRVKDQLSMRMLSLIRSNIINF INKLETLHVVNYKGLLSSVEIGTPSYAIIITRTNMGYLVEVQEPDKSAMDIRHPGPVKFSLLHESTLKPVATPKPSSITS LIMEFNSSLAI >YP_138527.1 RNA-dependent RNA polymerase [Sudan ebolavirus] MMATQHTQYPDARLSSPIVLDQCDLVTRACGLYSEYSLNPKLKTCRLPKHIYRLKYDTIVLRFISDVPVATIPIDYIAPM LINVLADSKNVPLEPPCLSFLDEIVNYTVQDAAFLNYYMNQIKTQEGVITDQLKQNIRRVIHKNRYLSALFFWHDLAILT RRGRMNRGNVRSTWFVTNEVVDILGYGDYIFWKIPIALLPMNTANVPHASTDWYQPNIFKEAIQGHTHIISVSTAEVLIM CKDLVTSRFNTLLIAELARLEDPVSADYPLVDNIQSLYNAGDYLLSILGSEGYKIIKYLEPLCLAKIQLCSQYTERKGRF LTQMHLAVIQTLRELLLNRGLKKSQLSKIREFHQLLLRLRSTPQQLCELFSIQKHWGHPVLHSEKAIQKVKNHATVLKAL RPIIIFETYCVFKYSVAKHFFDSQGTWYSVISDRCLTPGLNSYIRRNQFPPLPMIKDLLWEFYHLDHPPLFSTKIISDLS IFIKDRATAVEQTCWDAVFEPNVLGYSPPYRFNTKRVPEQFLEQEDFSIESVLQYAQELRYLLPQNRNFSFSLKEKELNV GRTFGKLPYLTRNVQTLCEALLADGLAKAFPSNMMVVTEREQKESLLHQASWHHTSDDFGEHATVRGSSFVTDLEKYNLA FRYEFTAPFIKYCNQCYGVRNVFDWMHFLIPQCYMHVSDYYNPPHNVTLENREYPPEGPSAYRGHLGGIEGLQQKLWTSI SCAQISLVEIKTGFKLRSAVMGDNQCITVLSVFPLESSPNEQERCAEDNAARVAASLAKVTSACGIFLKPDETFVHSGFI YFGKKQYLNGIQLPQSLKTAARMAPLSDAIFDDLQGTLASIGTAFERSISETRHILPCRVAAAFHTYFSVRILQHHHLGF HKGSDLGQLAINKPLDFGTIALSLAVPQVLGGLSFLNPEKCLYRNLGDPVTSGLFQLKHYLSMVGMSDIFHALIAKSPGN CSAIDFVLNPGGLNVPGSQDLTSFLRQIVRRSITLSARNKLINTLFHASADLEDELVCKWLLSSTPVMSRFAADIFSRTP SGKRLQILGYLEGTRTLLASKMISNNAETPILERLRKITLQRWNLWFSYLDHCDPALMEAIQPIKCTVDIAQILREYSWA HILDGRQLIGATLPCIPEQFQTTWLKPYEQCVECSSTNNSSPYVSVALKRNVVSAWPDASRLGWTIGDGIPYIGSRTEDK IGQPAIKPRCPSAALREAIELTSRLTWVTQGSANSDQLIRPFLEARVNLSVQEILQMTPSHYSGNIVHRYNDQYSPHSFM ANRMSNTATRLMVSTNTLGEFSGGGQAARDSNIIFQNVINFAVALYDIRFRNTCTSSIQYHRAHIHLTNCCTREVPAQYL TYTTTLNLDLSKYRNNELIYDSDPLRGGLNCNLSIDSPLMKGPRLNIIEDDLIRLPHLSGWELAKTVLQSIISDSSNSST DPISSGETRSFTTHFLTYPKIGLLYSFGALISFYLGNTILCTKKIGLTEFLYYLQNQIHNLSHRSLRIFKPTFRHSSVMS RLMDIDPNFSIYIGGTAGDRGLSDAARLFLRIAISTFLSFVEEWVIFRKANIPLWVIYPLEGQRSDPPGEFLNRVKSLIV GTEDDKNKGSILSRSGEKCSSNLVYNCKSTASNFFHASLAYWRGRHRPKKTIGATNATTAPHIILPLGNSDRPPGLDLNR NNDTFIPTRIKQIVQGDSRNDRTTTTRFPPKSRSTPTSATEPPTKMYEGSTTHQGKLTDTHLDEDHNAKEFPSNPHRLVV PFFKLTKDGEYSIEPSPEESRSNIKGLLQHLRTMVDTTIYCRFTGIVSSMHYKLDEVLWEYNKFESAVTLAEGEGSGALL LIQKYGVKKLFLNTLATEHSIESEVISGYTTPRMLLPIMPKTHRGELEVILNNSASQITDITHRDWFSNQKNRIPNDADI ITMDAETTENLDRSRLYEAVYTIICNHINPKTLKVVILKVFLSDLDGMCWINNYLAPMFGSGYLIKPITSSAKSSEWYLC LSNLLSTLRTTQHQTQANCLHVVQCALQQQVQRGSYWLSHLTKYTTSRLHNSYIAFGFPSLEKVLYHRYNLVDSRNGPLV SITRHLALLQTEIRELVTDYNQLRQSRTQTYHFIKTSKGRITKLVNDYLRFELVIRALKNNSTWHHELYLLPELIGVCHR FNHTRNCTCSERFLVQTLYLHRMSDAEIKLMDRLTSLVNMFPEGFRSSSV ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Tai_Forest_ebolavirus/GCF_000888475.1_ViralProj51257_genomic.fna ================================================ >NC_014372.1 Tai Forest ebolavirus isolate Tai Forest virus/H.sapiens-tc/CIV/1994/Pauleoula-CI, complete genome CGGACACACAAAAAGAAAGAAGGTTTTTTGATCTTTATTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTC ATTGACACTTACATTAAGATTAAGATTCTCATTGATCTGTTACTTACTCTGAGGATAATAATTGGTGTTCAGAAGTACCC CATTCCCCAGTGGGGGCAAAGACAGTCCAAAAGACTCAACTTGTCCTATTCAACTAATCTGTTTTGTCTCAGTAGTTCAC ATATTGATCATACCCAGGAGTTGGACCTAATTCCAAAGCTTAGAGTGGGACCTAGTGTATCCTCGGGGCTGTAATATAAT CAGCCATTTAACACATAACAAGCCCTACTGTTTTCTTGTTTTGCCGTGCATTTAGAATAAGAGACAACTTAAACCTCCGA TTCGGCAACACAGGGAATAATCTCACCAGACCCGGCAGTGTCTTCAGGCTTCATAGCCCCAAGATGGAGAGTCGGGCCCA CAAAGCATGGATGACGCACACCGCATCAGGTTTCGAAACAGATTACCATAAGATTTTAACAGCAGGATTGTCAGTCCAAC AAGGCATTGTGAGACAACGGGTCATTCAAGTCCACCAGGTTACAAACCTAGAAGAAATATGCCAATTGATCATTCAAGCC TTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCAGACAGTTTCTTGCTGATGCTATGTTTACATCATGCTTATCAGGGTGA CTACAAGCAATTCTTGGAAAGCAATGCAGTCAAGTACCTTGAGGGTCATGGCTTTCGCTTTGAGGTCAGGAAAAAGGAAG GAGTCAAGCGACTCGAAGAATTGCTTCCTGCTGCATCCAGTGGCAAGAGCATCAGGAGAACACTGGCTGCAATGCCTGAA GAGGAGACAACAGAAGCAAATGCCGGACAGTTCCTCTCTTTTGCTAGCTTATTTCTTCCTAAGCTAGTTGTCGGAGAAAA AGCCTGTCTAGAAAAGGTGCAGCGGCAAATTCAAGTTCATTCTGAGCAGGGATTGATCCAATACCCCACAGCCTGGCAGT CAGTTGGACACATGATGGTCATTTTCAGACTGATGAGAACAAATTTTCTAATTAAGTTCCTCCTTATACATCAAGGGATG CATATGGTAGCAGGACACGATGCTAACGATGCTGTCATCGCAAACTCTGTAGCTCAAGCACGTTTTTCAGGATTATTGAT CGTTAAAACAGTGCTAGATCACATCCTTCAGAAAACAGAGCACGGAGTGCGTCTTCATCCTTTGGCAAGAACTGCTAAGG TCAAGAACGAAGTAAATTCCTTTAAGGCTGCCCTTAGCTCGCTAGCACAACATGGAGAGTATGCTCCTTTTGCTCGCTTG CTGAATCTTTCTGGAGTCAACAATCTCGAGCACGGACTGTTTCCTCAGCTTTCTGCAATTGCCCTAGGTGTCGCAACGGC ACACGGCAGTACCCTGGCAGGAGTAAATGTGGGGGAACAGTATCAGCAACTACGAGAAGCAGCCACTGAGGCAGAAAAAC AATTGCAGAAATACGCTGAATCTCGCGAGCTTGACCATCTAGGTCTCGATGATCAAGAGAAGAAGATCTTGAAAGACTTC CATCAGAAGAAAAATGAAATCAGCTTCCAGCAGACAACAGCCATGGTCACACTACGGAAGGAAAGGCTAGCCAAGCTCAC TGAGGCAATCACCTCCACATCCCTTCTCAAGACAGGAAAACAGTATGATGATGACAACGATATCCCCTTTCCTGGGCCCA TCAATGATAACGAAAACTCAGAACAGCAAGACGATGATCCAACAGATTCTCAGGACACTACCATCCCTGATATCATTGTT GACCCGGATGATGGCAGATACAACAATTATGGAGACTATCCTAGTGAGACGGCGAATGCCCCTGAAGACCTTGTTCTTTT TGACCTTGAAGATGGTGACGAGGATGATCACCGACCGTCAAGTTCATCAGAGAACAACAACAAACACAGTCTTACAGGAA CTGACAGTAACAAAACAAGTAACTGGAATCGAAACCCGACTAATATGCCAAAGAAAGACTCCACACAAAACAATGACAAT CCTGCACAGCGGGCTCAAGAATACGCCAGGGATAACATCCAGGATACACCAACACCCCATCGAGCTCTAACTCCCATCAG CGAAGAAACCGGCTCCAATGGTCACAATGAAGATGACATTGATAGCATCCCTCCTTTGGAATCAGACGAAGAAAACAACA CTGAGACAACCATTACCACCACAAAAAATACCACTGCTCCACCAGCACCTGTTTATCGGAGTAATTCAGAAAAGGAGCCC CTCCCGCAAGAAAAATCCCAGAAGCAACCAAACCAAGTGAGTGGTAGTGAGAATACCGACAATAAACCTCACTCAGAGCA ATCAGTGGAAGAAATGTATCGACACATCCTCCAAACACAAGGACCATTTGATGCCATCCTATACTATTACATGATGACGG AGGAGCCGATTGTCTTTAGCACTAGTGATGGGAAAGAATACGTATACCCTGATTCTCTTGAAGGGGAGCATCCACCGTGG CTCAGTGAAAAAGAGGCCTTGAATGAGGACAATAGGTTTATCACAATGGATGATCAACAATTCTACTGGCCTGTAATGAA TCACAGGAACAAATTCATGGCTATCCTTCAGCACCACAAGTAATTTCTTCATAATGACAGATCATTGTAAGGTTATTACC ACCATCCCTGCAACAAAGCATGAAAACCACACTCAACAACGCCCTACCACAGGATACCTTGGAGACCATACACCAAGATC AGCAGCTGTGCAACCACCCCCATGCGAATCCACCACCACAACCACCAAACAATAATCCCAAGACCAAACCGCACACATCC AGATCAACCCAAACCCTCAAACACCACCCCACTCCGCGATCCCAGACCAAACTCCGCCCCAGACAAGCACCCCACCCATC CCAGAAACCGCACGGCCGAGAATCGATCCCCAGCATTCAAAATGCGTTATTAAGAAAAAACATATGATGAAGATTAAAAC CTTCATCAACATTGCACAGACTTTGATCCTTAGGAGTTTATTCTAGCTATCTACAAAACGGGTCCAAAACGGAATGATTT CCACTAGGGCTGCAGCAATCAATGATCCTTCATTACCAATCAGAAACCAGTGTACACGTGGCCCTGAACTATCAGGATGG ATCTCCGAACAATTAATGACAGGCAAAATTCCGGTACATGAAATCTTCAACGACACTGAGCCCCACATAAGCTCAGGGTC CGACTGCCTTCCCAGACCCAAAAACACGGCCCCCCGGACTCGCAACACCCAGACACAGACCGATCCGGTTTGCAATCACA ATTTTGAAGACGTTACACAAGCACTAACATCATTAACCAATGTCATACAAAAACAGGCTCTTAACTTAGAGTCTCTCGAA CAACGCATCATAGATCTAGAGAATGGCTTAAAGCCAATGTATGACATGGCTAAAGTCATTTCTGCATTGAATAGATCTTG TGCTGAGATGGTAGCAAAATATGATCTCCTGGTGATGACAACTGGCCGCGCAACCGCCACCGCCGCTGCAACTGAGGCTT ATTGGGAGGAACATGGACAACCACCACCTGGACCATCACTTTATGAAGAGAGTGCGATTAGAGGCAAGATTAACAAGCAA GAGGATAAAGTACCTAAGGAAGTTCAAGAAGCTTTTCGTAATCTGGACAGTACCAGCTCACTAACAGAAGAGAACTTTGG CAAGCCAGATATATCTGCAAAGGACCTACGAGACATCATGTATGACCACCTACCAGGCTTCGGTACGGCTTTTCACCAAC TGGTCCAGGTAATTTGCAAGCTAGGAAAAGACAATTCTGCATTGGACATTATTCATGCTGAGTTCCAAGCCAGCCTTGCT GAAGGTGATTCTCCCCAATGTGCCCTGATCCAAATAACAAAACGGATCCCCATCTTCCAGGATGCCACTCCGCCCACAAT TCACATCCGCTCTCGTGGTGACATCCCACGTGCCTGCCAAAAAAGTCTCCGTCCAGTTCCTCCATCACCAAAAATAGACA GAGGTTGGGTTTGCATTTTCCAATTGCAGGACGGGAAGACACTTGGGCTCAAGATATAGGGTCCCCCAGTCAAAGACACG TGCGGTCCCATCCTCCCTCACCTTCAGACATCAACGCATGGCAGTCCCAAACACCGGTGAGGGAGGCGCCCGGCGACAAC ACATGATGATAGGCTGATCTTCGGGATAAGAGACATGAAAAACCAAAAAGCCGTTTACATCCAGATCCAAGATCAAGAGT GGCTTGGAAATAAGGGGCACTTGTTCTTTGTCTCAAAGGACTTACAAAAACAAGGGTGATGAAGATTAAGAAAAAGCCTC CTTCAGTTGCAAGGAGCTAATTCTTAAAACTTCATCTAGACTAAGGATAAATCGATTCCAATCACGATGAGGAGAATCAT CCTACCCACGGCACCACCTGAATACATGGAGGCTGTTTACCCAATGAGAACAATGAATTCTGGTGCAGACAACACTGCCA GTGGCCCTAATTACACAACAACTGGTGTGATGACAAATGATACTCCCTCTAATTCACTCCGACCAGTTGCAGATGATAAT ATTGATCATCCGAGCCACACGCCTAACAGTGTTGCCTCTGCATTTATATTGGAAGCTATGGTGAATGTAATATCTGGCCC GAAAGTGCTGATGAAGCAAATCCCAATCTGGCTTCCTCTGGGTGTCTCTGACCAGAAGACATATAGCTTTGATTCAACCA CTGCTGCCATTATGCTAGCATCATATACCATCACTCATTTTGGCAAAACCTCAAATCCCCTTGTGAGAATCAACCGACTT GGTCCTGGCATACCTGATCACCCACTACGACTCCTAAGAATAGGAAATCAAGCCTTCCTACAAGAGTTTGTGCTACCTCC TGTACAACTGCCACAATACTTCACTTTTGATCTGACAGCGCTGAAGCTGATCACCCAGCCACTCCCAGCGGCAACCTGGA CAGATGAAACTCCAGCTGTGTCAACTGGCACGCTCCGCCCAGGGATCTCATTCCATCCCAAATTAAGGCCTATCCTGCTA CCAGGAAGAGCTGGAAAGAAGGGCTCCAACTCCGATCTAACATCTCCTGACAAAATCCAGGCTATAATGAATTTCCTACA AGACCTCAAAATTGTACCAATCGATCCAACCAAGAATATCATGGGTATTGAAGTGCCAGAACTCCTGGTTCACAGGCTGA CTGGGAAGAAGACAACTACCAAGAATGGTCAACCAATCATTCCAATTCTGCTACCAAAGTACATTGGTCTTGATCCTCTA TCTCAAGGTGATCTCACAATGGTGATCACTCAGGACTGTGATTCCTGCCACTCCCCGGCCAGTCTTCCCCCAGTCAATGA AAAATGACCATGAGACTCAACATCACACTGCCAGAGCACCTCACCGCAAGTCTATACAACAATCAACCCCGGCATCTACA ACCTGCAAAAACCAGCCCATCTGATACTCCTGGCATCGGGGGCAAGACAAGGCAGCCAAGCAGCAGCCCCCGAGCCGAGC CCAAACCCATTACACCCGAGCCCAACACCCATCCAGCAACCCACAACCGTCAAACGCACAGATGGACAAGCAAAGAACAT CAAGCCAGGAGCAACACAGACCCCAAGTCTAAGCTGATCAACCCCTCCCGCAATCCCACCAACGCCAGCAAAAATCCCCC AACTCGATACCAACCCCAAGCAAATCAGCTCAAACCGTCTATCTCTCCCCGCTTCACTCCACACCCCAGATTCAGCAAAC GATCAACGCACTTCTTATGCCACAGCTTATATTAAGAAAAAGAACTTGATGAAGATTAAGGCAACCAGTGGTGCTATCTT CATCTCTTTGATTTGAGTCTTAAGTGAATACACAGGTTCTAATACTGTTCTTCTGTCCAACGGTATAATTCAGCCAGGCC TAAGACAGTAGCTAATCACAGTCATCATGGGAGCGTCAGGGATTCTGCAATTGCCCCGTGAGCGCTTCAGGAAAACATCT TTCTTTGTTTGGGTAATAATCCTATTCCATAAAGTCTTTTCAATCCCGTTGGGGGTTGTACACAACAATACCCTACAAGT GAGTGATATTGACAAGTTTGTGTGCCGAGACAAACTCTCTTCAACTAGCCAATTGAAGTCAGTCGGGTTGAACTTGGAGG GCAATGGAGTAGCAACTGATGTACCAACGGCAACCAAAAGATGGGGTTTTCGAGCTGGTGTTCCACCAAAGGTGGTAAAT TGCGAAGCTGGAGAATGGGCTGAGAACTGTTATAACCTGGCTATAAAGAAAGTTGATGGTAGTGAGTGCCTACCAGAAGC CCCTGAGGGAGTGAGGGATTTTCCCCGTTGCCGCTATGTACACAAAGTCTCAGGAACTGGACCATGCCCAGGAGGACTCG CCTTTCACAAAGAAGGAGCCTTCTTCCTGTATGACCGACTCGCATCAACAATCATTTATCGGGGTACAACCTTTGCCGAA GGAGTTATTGCATTTCTGATCTTGCCTAAGGCGCGAAAGGATTTTTTCCAGTCTCCTCCATTGCATGAGCCTGCCAACAT GACCACGGATCCCTCCAGTTACTATCACACGACAACAATAAACTACGTGGTTGATAATTTTGGAACCAACACCACAGAGT TTCTGTTCCAAGTCGATCATTTGACGTATGTGCAGCTCGAGGCAAGATTCACACCACAATTCCTTGTCCTCCTAAATGAA ACCATCTACTCTGATAACCGCAGAAGTAACACAACAGGAAAACTAATCTGGAAAATAAATCCCACTGTTGATACCAGCAT GGGTGAGTGGGCTTTCTGGGAAAATAAAAAAACTTCACAAAAACCCTTTCAAGTGAAGAGTTGTCTTTCGTACCTGTACC AGAAACCCAGAACCAGGTCCTTGACACGACAGCGACGGTCTCTCCTCCCATCTCCGCCCACAACCACGCAGCCGAAGACC ACAAAGAATTGGTTTCAGAGGATTCCACTCCAGTGGTTCAGATGCAAAACATCAAGGGAAAGGACACAATGCCAACCACA GTGACGGGTGTACCAACAACCACACCCTCTCCATTTCCAATCAATGCTCGCAACACTGATCATACCAAATCATTTATCGG CCTGGAGGGGCCCCAAGAAGACCACAGCACCACACAGCCTGCCAAGACCACCAGCCAACCAACCAACAGCACAGAATCGA CGACACTAAACCCAACATCAGAGCCCTCCAGTAGAGGCACGGGACCATCCAGCCCCACGGTCCCCAACACCACAGAAAGC CACGCCGAACTTGGCAAGACAACCCCAACCACACTCCCAGAACAGCACACTGCCGCCAGTGCCATTCCAAGAGCCGTGCA CCCCGACGAACTCAGTGGACCTGGCTTCCTGACGAACACAATACGGGGGGTTACAAATCTCCTGACAGGATCCAGAAGAA AGCGAAGGGATGTCACTCCCAATACACAACCCAAATGCAACCCAAACCTGCACTATTGGACAGCCTTGGATGAGGGTGCT GCCATAGGTTTAGCCTGGATACCATACTTCGGGCCAGCAGCTGAGGGAATTTACACTGAAGGCATAATGGAGAATCAAAA TGGATTGATCTGTGGATTGAGGCAGCTGGCCAACGAAACGACACAAGCTCTTCAATTGTTCTTAAGGGCAACTACTGAGT TGCGTACATTCTCTATACTAAATCGGAAAGCAATAGACTTCTTGCTCCAAAGATGGGGAGGAACATGTCACATTCTAGGG CCTGATTGTTGCATTGAACCCCAAGATTGGACCAAAAATATCACTGATAAAATTGATCAAATAATCCATGACTTTGTCGA TAATAATCTTCCAAATCAGAATGATGGCAGCAACTGGTGGACTGGATGGAAACAATGGGTTCCTGCTGGAATAGGAATCA CAGGAGTAATCATTGCTATTATTGCTTTGCTGTGCATTTGCAAATTCATGCTTTGAACTAATATAGCATCATACTTTCTA ATATTCCCCCAATATGAATTTTTGTTTTCGATTTTATTTAATGATATATCCTCTGTATACCTCACTAATGTACTCGAGCA TAATTTCCCTGATAGACTTGATTGTATTTGATGATTAAGGACCTCACAAAATTCCTGGGGATTGAAAAGAACTGGATAAC TCAATAAATTTTATGCTAGGACCACAAATACACTTGATGAAGATTAAGAAAAAGATAATCTTATGATTATCATTGATCTT CATCTATACCTTAAATACTCTATTCAAGGAGAGTATGACAAAACCAAGTAGTATTGGATAAACTTGTCCTGCATTCAAAT CTGAAGACATACGGCTTATCTATTCACTATTGTATTAGAAAATCTAGGGAATATCATTTGAAACTAATTAGTGACTAAAA CACACAACTCAAGTCGGCCAGAATGGAAGTTGTTCATGAAAGAGGTCGCTCCAGGATCTCCCGACAAAACACAAGGGATG GACCTAGTCATTTAGTACGGGCGAGATCATCCTCTCGAGCTAGTTATCGAAGTGAATACCATACACCAAGGAGTGCCTCG CAGATCCGTGTCCCCACTGTCTTTCATCGGAAAAAGACAGATTTATTGACAGTTCCACCAGCACCTAAAGATGTATGCCC GACTTTAAAGAAAGGGTTTCTATGTGACAGCAATTTCTGTAAAAAGGATCACCAACTTGAAAGCTTAACAGATAGAGAGT TACTCTTGCTGATTGCACGCAAGACATGTGGATCCACGGAACAACAACTAAGCATAGTTGCTCCAAAAGATTCACGTCTG GCTAATCCTATTGCTGAGGATTTCCAACAAAAAGATGGGCCTAAGGTAACACTGTCGATGCTTATAGAGACAGCAGAGTA TTGGTCCAAACAGGACATTAAGAACATCGATGATTCAAGATTAAGAGCTTTATTGACCCTTTGTGCTGTTATGACGCGCA AATTTTCAAAATCTCAACTTAGCTTGCTATGTGAAAGCCACTTACGGCGAGAAGGACTTGGTCAAGACCAATCAGAGTCA GTTCTGGAGGTATATCAACGCTTACACAGCGATAAAGGTGGGAATTTCGAGGCAGCACTATGGCAGCAGTGGGATCGGCA ATCATTGATAATGTTCATAACAGCATTTTTAAATATTGCATTACAATTACCATGTGAGAGTTCATCTGTTGTTATTTCAG GTTTGAGAATGCTGATACCCCAGTCGGAAGCCACTGAGGTTGTAACCCCCTCCGAAACCTGCACATGGTCAGAAGGAGGA AGTTCCCATTGAAGCCCCAAATCACAAGGCGAGCTAAAAAATCCCTTTTGAACATGCATAACATCACATACAATTTCAAA GGCATTGGAATAAATGGTGATTTCAGGAAGATTAGTGTTTGCCCTCAAAATCAGATCCGAGCAATAATCATCTACTCTAC AGCCAGTTAATTTCTAATATAAAGGTTAAAAAAATGCTGCAGGCCAGCTATTGTTCCACAGGTCCCAATTCTTCTTGTTA AATTGTAGGAGCTAGCACAAGTGATGCAATTAAATGATACTAGTATATACAATGCCACCAACTTAATTCTAAGATTTTGT ATATCTCGGAAATTCAAAATTAAATGCTACGTTATTGATTCAATTAAGAAAAAGACAATGGACCATCAAAATTAGTTCAA TACCTGAACTAATGCACTTATAGAAACAGGAGAACCAGCCAGACAGCAGACAAATAACAATGAACCACAATATGTTACTG CTATAATGAAGTTCGTTAATTCAAAAACAAATGATGAAGATTAATGCAGATGTCTAAAGGATAAACACTCCATGCATCAG TGTTATAATTGGGCTCTGTAGAAAATCTTCATCTCCTCCAACCTACCTCAAAGAAGGATTTTACCGCGATTGGGAGTTAT AACGACAATAGGGACAACCACCTTTGACACTAGCCAAGCTTGTCGTGGGCACACAGCATTTTATCTTGCAACGTCGACAT TCCCATCAATCTGAGGAGTAACAGCTATCAAAACAACGCATATGTAGACATTGTCGGTAATAGTACTGCCTAAGACAACT ATTTATAATAACAGTTGGAATTCATTTTTTCACCCAAGCTATTCTCAAGTTAACAGTTGAAACAGGACTCGACCCAGGAC AACTCCGGATACGTAACATAAGAAAAGAACAACCCTTGACCCAGAGTGAACAAGCTCATACTATCAAGGCTAATCCTCGG GCCTGCCTGGAGTCCACAATGGCCAAGGCTACTGGGAGGTACAACCTTATCTCCCCAAAGAAAGATCTTGAAAAAGGGCT GGTTCTGAATGACCTTTGCACTCTCTCAGTGGCCCAGACGGTCCAGGGATGGAAGGTTACCTGGGCTGGGATTGAATTTG ATGTTACACAGAAAGGGATGGCCTTATTGCACAGGCTCAAGACCAGTGATTTTGCTCCAGCCTGGTCAATGACCAGGAAC TTATTTCCACATCTCTTTCAAAACCCGAACTCTACAATTGAGTCGCCACTTTGGGCACTGCGGGTCATACTAGCAGCAGG TATTCAAGATCAGCTAATTGATCAATCGTTGATCGAACCCTTGGCAGGAGCGCTAGGCTTAATTGCTGATTGGCTTCTTA CTACTGGAACAAACCACTTTCAAATGCGCACACAACAGGCTAAGGAGCAACTAAGTCTAAAAATGTTGTCCCTGGTGCGA TCAAACATCCTAAAGTTCATCAACCAACTAGATGCACTACATGTTGTGAATTACAATGGACTTCTCAGTAGCATTGAAAT TGGCACCAAAAGCCATACAATTATAATTACCCGGACAAATATGGGTTTTTTGGTAGAGTTGCAAGAGCCTGACAAATCAG CCATGAACACCAGAAAACCAGGACCAGTCAAATTCTCCCTCCTCCATGAATCAACCTTGAAGACACTTGCTAAAAAACCT GCGACCCAGATGCAAGCACTAATCTTAGAATTCAATAGTTCTCTCGCTATTTAACTCAACTCATCAAAATGCTAACTTGT GATCCTTAAGCTGCACCTTAGACTTTTGATAAGAATACTAACTATTGATGATTGTCTTTGACATGAGGATAAGAACACTG CCCATTAGATAGATGGGGTTCACCATTAATACACAATTACCCAATCATGTTAACAGCAGTTAGATCCCTCAAGTATATCA AGTTCATTCTACCCTTTGCATTGTCACTCTAATTAAATCACCTGATACAATTATGTTAATTAGCTAGATTCTCTCATTTT TAGACTTGTTTGCTAGAATAATTGATCATCCACTTGATTACACATCCAACTAGGGTCTAGTTCATAGATTGCTAATAATC TTTAGTTCAATACTAATGACAAAGAGATTAGATTAGCTATAGCTTGAGGAAGATTAAGAAAAAGTGTCTGTGGGGTCTTT CCGTGTAGAAGGGCACACAGCCATAATTCTTCCTCTTTATACAACATGGCTACACAACATACGCAATATCCAGACGCAAG GTTATCATCACCTATAGTTTTAGATCAGTGTGATCTTGTCACTCGTGCTTGTGGATTGTATTCCGCATACTCCTTAAATC CCCAACTAAAGAACTGTAGACTACCGAAACATATATACCGACTAAAATATGACACCACTGTTACAGAGTTTTTGAGTGAT GTGCCGGTAGCAACATTGCCAGCGGATTTTTTAGTACCTACATTTCTTAGGACTCTATCAGGAAATGGTTCTTGTCCAAT TGATCCAAAATGCAGTCAATTTTTAGAAGAAATTGTCAATTATACTCTACAAGATATTCGCTTCCTAAACTATTACCTCA ATCGAGCCGGAGTGCATAACGATCATGTGGATAGGGATTTTGGACAAAAAATTCGCAATCTAATTTGCGACAATGAGGTT TTACATCAAATGTTTCACTGGTATGATCTTGCAATTCTAGCACGTAGAGGGCGACTAAATAGAGGGAATAATCGCTCAAC ATGGTTTGCAAGTGATAATTTGGTAGATATCCTAGGTTATGGAGATTATATTTTTTGGAAAATACCATTATCACTACTAC CAGTGGATACACAAGGCCTCCCACATGCAGCCAAGGACTGGTATCATGAATCGGTTTTCAAGGAGGCTATTCAAGGCCAT ACACACATCGTGTCCATCTCTACAGCAGATGTCTTAATCATGTGTAAGGACATAATCACCTGTCGATTTAATACTTTACT GATTGCTGCTGTGGCAAATCTAGAGGATTCAGTTCATTCAGATTACCCTTTACCAGAAACAGTGTCTGACCTATACAAAG CAGGAGATTATTTAATCTCATTGCTAGGATCAGAAGGTTACAAAGTCATAAAATTCCTTGAGCCGTTATGCTTAGCAAAG ATCCAACTCTGCTCAAATTACACTGAGAGGAAAGGAAGATTCCTCACTCAAATGCATTTAGCTGTAAATCATACACTTGA GGAACTTACAGGGTCCCGAGAATTAAGGCCACAACAGATTCGGAAGGTAAGGGAATTCCATCAAATGCTGATAAACCTTA AGGCAACTCCTCAACAACTCTGTGAGTTGTTTTCAGTGCAAAAGCATTGGGGGCACCCTGTCTTGCATAGCGAAAAGGCT ATCCAAAAAGTAAAGAAGCATGCAACAGTGATAAAAGCATTGCGCCCAATAATAATCTTTGAAACATATTGTGTGTTTAA ATACAGCATTGCAAAACATTATTTTGATAGTCAGGGTACGTGGTACAGTGTGACTTCTGACAGATGCTTAACACCAGGCC TTTCCTCTTACATCAAAAGAAACCAATTTCCTCCACTACCTATGATCAAAGAACTTTTGTGGGAATTTTATCACTTAGAT CATCCTCCGTTATTCTCCACCAAAGTGATTAGTGATTTGAGTATCTTTATTAAAGATCGTGCTACTGCAGTCGAGAAAAC ATGCTGGGACGCAGTTTTTGAACCCAATGTTCTTGGTTATAACCCACCGAATAAATTTGCTACAAAAAGGGTACCTGAGC AATTCCTTGAACAGGAGAATTTCTCAATAGAGAGTGTCCTACATTATGCTCAACGTCTGGAATATCTTCTCCCGGAGTAC CGGAACTTCTCTTTTTCACTCAAGGAGAAGGAGTTAAACATTGGACGAGCTTTTGGGAAATTGCCATATCCAACACGCAA TGTTCAAACTCTGTGCGAAGCTTTGTTAGCAGATGGTTTGGCGAAAGCATTCCCAAGCAATATGATGGTTGTGACAGAGC GCGAGCAAAAAGAAAGCCTTTTGCATCAAGCGTCTTGGCATCACACAAGTGATGATTTTGGTGAGAATGCTACTGTTAGA GGCAGTAGTTTTGTAACAGACTTGGAAAAATACAATTTAGCATTCCGATATGAGTTTACAGCTCCTTTTATTGAATACTG TAATCGTTGTTACGGTGTAAGAAATTTGTTTAATTGGATGCACTACACTATACCACAGTGTTATATACATGTGAGTGATT ATTATAACCCCCCACATGGAGTCTCTCTCGAAAACCGAGAAAATCCACCAGAAGGTCCAAGCTCTTACCGTGGTCATCTA GGCGGGATTGAGGGACTTCAACAAAAACTCTGGACAAGCATCTCATGTGCACAGATTTCATTAGTTGAAATCAAAACCGG TTTTAAACTGCGATCTGCGGTAATGGGTGACAATCAATGTATAACTGTACTCTCTGTATTTCCCCTCGAAACTGAGTCTA GTGAGCAAGAATTAAGTTCTGAAGATAATGCCGCTAGAGTAGCTGCTAGCTTAGCAAAAGTCACAAGTGCCTGCGGCATC TTTTTAAAACCTGATGAAACTTTTGTTCACTCAGGTTTCATTTATTTTGGCAAAAAACAATATTTGAATGGAGTACAATT ACCTCAATCACTGAAAACTGCTACTAGAATTGCACCCTTGTCAGATGCTATCTTTGATGATCTTCAAGGGACACTAGCTA GCATAGGCACGGCTTTTGAAAGATCTATCTCCGAAACTAGGCACGTAGTCCCTTGTAGAGTAGCAGCTGCATTCCATACC TTTTTTTCCGTAAGAATCTTACAATATCATCATCTTGGCTTCAACAAGGGAACAGACCTGGGTCAATTGTCATTAAGCAA GCCATTAGATTTTGGAACTATAACTTTGGCCTTGGCAGTACCACAAGTCTTGGGTGGCTTATCATTCCTAAATCCAGAAA AATGTTTTTATAGAAATCTGGGTGATCCTGTTACTTCAGGGCTGTTTCAGCTCAAGACATATCTTCAAATGATCCACATG GATGATTTGTTTTTACCTTTGATCGCAAAGAACCCAGGGAACTGTAGCGCAATTGACTTTGTGTTAAACCCTAGTGGGTT AAACGTACCGGGGTCACAGGATTTGACATCCTTCCTACGTCAGATAGTGCGCCGAACAATTACTCTAAGTGCTAAAAATA AATTAATAAACACTTTGTTCCATTCTTCTGCTGATTTAGAAGATGAAATGGTTTGCAAATGGTTGCTTTCTTCTACACCA GTCATGAGTAGGTTTGCCGCCGATATATTTTCTCGCACTCCCAGTGGGAAACGTTTACAGATCTTAGGTTACCTTGAAGG GACTAGAACATTGTTAGCCTCTAAAATTATAAATCATAATACTGAGACACCTATCCTAGATCGATTGAGGAAAATTACGC TGCAAAGGTGGAGCCTGTGGTTTAGTTATCTCGACCACTGTGATCAAGTTCTGGCTGATGCCCTAACTCAGATAACCTGC ACTGTGGACTTAGCACAGATTCTTCGCGAGTACACCTGGGCACACATACTAGAGGGAAGGCAGCTCATTGGAGCAACACT TCCTTGTATACTAGAACAACTAAATGTCATCTGGCTCAAACCATATGAGCATTGCCCTAAATGTGCAAAGTCAGCAAACC CTAAAGGGGAACCTTTTGTTTCTATTGCAATTAAAAAACATGTAGTAAGTGCTTGGCCTGATCAATCACGACTTAGTTGG ACAATTGGAGATGGCATCCCTTATATCGGATCTCGAACAGAGGATAAGATTGGGCAGCCAGCCATCAAACCAAAATGCCC TTCAGCAGCCTTACGTGAAGCAATTGAGTTGACATCAAGATTGACTTGGGTTACTCAAGGTGGAGCAAACAGCGACTTAC TAGTTAAACCCTTCATAGAAGCACGAGTAAATTTAAGCGTACAGGAAATTCTCCAAATGACACCTTCTCATTACTCCGGC AACATTGTGCATCGATATAATGATCAATATAGTCCACACTCATTTATGGCAAATAGGATGAGTAATTCTGCTACTAGGTT AGTTGTTTCGACAAACACTCTTGGAGAATTTTCAGGAGGAGGTCAGTCAGCAAGAGATAGTAATATTATCTTCCAGAATG TCATTAATTTTGCTGTTGCACTTTTTGATCTACGATTTAGGAACGTGGCTACTTCTTCTATACAACATCATCGGGCTCAT CTTCATTTGTCAAAGTGTTGCACGCGAGAGGTTCCAGCCCAATATTTAGTTTATACATCAACATTGCCATTGGACCTTAC ACGGTATCGGGATAATGAGTTGATTTACGATGACAATCCATTAAGAGGTGGTTTAAATTGCAATCTTTCTTTTGATAATC CGCTTTTCAAGGGCCAGAGACTTAACATAATTGAAGAAGACTTGATTAGACTACCTTACTTATCAGGATGGGAGCTAGCT AAAACTGTTATCCAATCTATAATTTCTGACAGCAACAATTCATCAACGGATCCAATCAGTAGTGGGGAAACACGATCATT CACCACTCACTTCTTGACATATCCTAAGATTGGACTACTATATAGTTTTGGTGCACTCATCAGTTATTATCTAGGCAACA CCATTATTAGAACCAAAAAATTGACTCTTAACAACTTCATATATTACCTAGCTACTCAAATACATAATTTACCTCATCGC TCGTTGAGAATCCTTAAACCTACTTTGAAACACGCTAGTGTTATCTCGAGATTAATAAGTATTGACTCTCACTTCTCAAT TTATATTGGAGGAACTGCTGGTGATCGAGGACTTTCCGATGCGGCAAGATTGTTTCTTAGAACTGCCATTACTGTCTTCC TTCAATTCGTTAGAAAGTGGATAGTTGAACGCAAGACAGCTATTCCACTGTGGGTCATCTACCCTCTAGAAGGTCAAAGT CCTAGTCCGATCAACAGTTTTCTACACCACGTCATCGCATTGTTGCAACATGAGTCCTCCCACGATCATGTTTGTGCTGC AGAAGCCCACAGTCGAGTGGAGACATTTGATAATTTAGTTTATATGTGTAAAAGCACAGCAAGTAACTTCTTTCATGCTT CATTAGCATACTGGAGAAGTCGATCTAAAAATCAAGACAAAAGAGAGATGACAAAGATATTATCTTTGACGCAAACGGAA AAGAAAAATTCATTCGGCTATACAGCACATCCAGAAAGCACTGCTGTTCTTGGTTCCCTCCAGACCAGCCTTGCTCCACC TCCATCTGCTGACGAGGCTACATATGATAGGAAAAACAAAGTTTTGAAAGCTTCCAGACCTGGCAAGTATTCCCAGAATA CAACCAAAGCCCCACCCAACCAAACCAGTTGTCGCGATGTATCTCCCAATATCACAGGCACAGATGGGTGCCCTTCTGCC AATGAGGGTTCTAACAGCAATAACAATAATTTAGTCTCGCACAGAATTGTACTGCCGTTTTTTACATTGTCTCATAATTA TAACGAAAGACCCTCTATCAGAAAGTCTGAGGGGACAACAGAGATTGTAAGGCTTACTCGGCAGCTGAGGGCAATACCAG ACACCACAATATATTGCCGCTTCACGGGAATAGTTTCTTCAATGCACTATAAGCTCGATGAAGTCCTTTGGGAATTTGAT AATTTTAAGTCTGCTATAACACTTGCCGAAGGTGAAGGTTCGGGTGCATTACTCTTATTACAAAAATATAAAGTAGAAAC CTTGTTTTTTAATACACTAGCCACAGAACACAGCATTGAAGCAGAAATTATTTCTGGAATAACTACACCAAGAATGCTTC TCCCTATTATGTCTAGGTTCCATGGTGGACAAATAAAAGTCACTTTAAACAATTCTGCAAGCCAGATTACCGATATTACT AATCCAAGTTGGTTGGCAGACCAAAAATCTAGGATCCCTAAGCAAGTAGAGATTATAACCATGGATGCTGAAACAACAGA AAACATTAATCGGTCAAAATTGTACGAAGCAGTCCAACAGCTGATTGTCTCACATATTGATCCGAATGCACTCAAAGTTG TGGTTCTTAAAGTTTTCTTAAGTGACATTGATGGAATCCTATGGCTGAATGATAACCTTACCCCTTTGTTTGGGCTGGGT TACTTGATCAAGCCGATCACCTCTAGCCCAAAATCTAGTGAGTGGTACCTATGTCTCTCAAACCTTCTTTCAACTTCAAG ACGATTACCTCATCAGAGTCATACTACTTGCATGCATGTTATTCAAACAGCACTCCAGCTACAAATTCAGAGGAGCTCAT ATTGGCTTAGCCACCTTGTCCAGTATGCCAATCATAATTTGCATTTAGATTATATTAATCTCGGTTTCCCTTCATTGGAG AGGGTTTTATACCATAGATACAATTTAGTCGATTCTCAGAAAGGCCCTTTGACTTCCATTGTCCAACATCTAGCGCACCT GCAGACCGAGATTAGGGAGTTGGTTAATGACTATAATCAACAAAGACAAAGTCGAACCCAAACATATCATTTCATTAAAA CAATAAAAGGTCGTATTACAAAATTGGTAAATGATTACCTTAAGTTCTTTCTAATAATACAAGCCTTAAAGCACAATTGC ACATGGCAAGAGGAACTAAGAGCTCTTCCAGATCTAATTAGTGTCTGCACTCGATTCTATCATACTCGAAACTGTTCATG TGAAAACCGGTTCCTAGTACAGACTTTATACTTATCACGCATGCAGGATTCGGAAATCAAACTAATAGATAGATTGACCG GCCTTCTTAGTCTATGTCCAAATGGTTTTTTTCGGTAAGGACTCTTGACGTACAAACTCCACATAGTTATACAATGGTAC CAGGACACTATATGTAAATTGACCCTAAGAAAGAGTAATTCGACACACAGAGTTCTCAAGTGAAACCCCTCATCTCAGAT TATCTGTGGTTGCAATTCTAATATCCGATTGTTACCCCGTGAGTATAACTCCAGATTAATATAAGAAAATACCTTTTGTC CTGCAAATTTATCTTAAATTCAAGTACATACGCTCCAAATCGTATAAAATATTAAGAAAAAGTTAATCTGCTTGCTTTAA TTATAACTTTAATATTCGACAAATAGTTAACGGTCTCATCACTCAAAAATTTCATTAACAAAAGAAGTACTCTGAGTATA TTCACATATCATATGTGATTAACATATAAGCAACGCATGATGCGCCTTCCTCTTACTTATTGTGTTGTCACGCAGTCGTT GTACTACCTCGAAAATTCCAAACAATAAATCGTGTCTATCCCGCATTTAGTGTCTTTAATTTAAGATCTCAAATCCAAAA AACTGGGTTTATGTTGATGTAAATCAATAATACCGAAATTGCTTGATATTAAAATAAAGCTTAAAGGATTTTTCCTTAAA CGGTGATGTTAGGTATATAGGAAAGCTCGATCACGATGTCCCTTACTCAGAAAAAGAAAAACGGAAGCCCTATTGGCCAT TTAATCGTACACAAAAATATCTTTACCAAATTGTTTTCTCTTTTTTGTGTGTCCA ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Tai_Forest_ebolavirus/GCF_000888475.1_ViralProj51257_protein.faa ================================================ >YP_003815423.1 nucleoprotein [Tai Forest ebolavirus] MESRAHKAWMTHTASGFETDYHKILTAGLSVQQGIVRQRVIQVHQVTNLEEICQLIIQAFEAGVDFQESADSFLLMLCLH HAYQGDYKQFLESNAVKYLEGHGFRFEVRKKEGVKRLEELLPAASSGKSIRRTLAAMPEEETTEANAGQFLSFASLFLPK LVVGEKACLEKVQRQIQVHSEQGLIQYPTAWQSVGHMMVIFRLMRTNFLIKFLLIHQGMHMVAGHDANDAVIANSVAQAR FSGLLIVKTVLDHILQKTEHGVRLHPLARTAKVKNEVNSFKAALSSLAQHGEYAPFARLLNLSGVNNLEHGLFPQLSAIA LGVATAHGSTLAGVNVGEQYQQLREAATEAEKQLQKYAESRELDHLGLDDQEKKILKDFHQKKNEISFQQTTAMVTLRKE RLAKLTEAITSTSLLKTGKQYDDDNDIPFPGPINDNENSEQQDDDPTDSQDTTIPDIIVDPDDGRYNNYGDYPSETANAP EDLVLFDLEDGDEDDHRPSSSSENNNKHSLTGTDSNKTSNWNRNPTNMPKKDSTQNNDNPAQRAQEYARDNIQDTPTPHR ALTPISEETGSNGHNEDDIDSIPPLESDEENNTETTITTTKNTTAPPAPVYRSNSEKEPLPQEKSQKQPNQVSGSENTDN KPHSEQSVEEMYRHILQTQGPFDAILYYYMMTEEPIVFSTSDGKEYVYPDSLEGEHPPWLSEKEALNEDNRFITMDDQQF YWPVMNHRNKFMAILQHHK >YP_003815424.1 polymerase complex protein [Tai Forest ebolavirus] MISTRAAAINDPSLPIRNQCTRGPELSGWISEQLMTGKIPVHEIFNDTEPHISSGSDCLPRPKNTAPRTRNTQTQTDPVC NHNFEDVTQALTSLTNVIQKQALNLESLEQRIIDLENGLKPMYDMAKVISALNRSCAEMVAKYDLLVMTTGRATATAAAT EAYWEEHGQPPPGPSLYEESAIRGKINKQEDKVPKEVQEAFRNLDSTSSLTEENFGKPDISAKDLRDIMYDHLPGFGTAF HQLVQVICKLGKDNSALDIIHAEFQASLAEGDSPQCALIQITKRIPIFQDATPPTIHIRSRGDIPRACQKSLRPVPPSPK IDRGWVCIFQLQDGKTLGLKI >YP_003815425.1 matrix protein [Tai Forest ebolavirus] MRRIILPTAPPEYMEAVYPMRTMNSGADNTASGPNYTTTGVMTNDTPSNSLRPVADDNIDHPSHTPNSVASAFILEAMVN VISGPKVLMKQIPIWLPLGVSDQKTYSFDSTTAAIMLASYTITHFGKTSNPLVRINRLGPGIPDHPLRLLRIGNQAFLQE FVLPPVQLPQYFTFDLTALKLITQPLPAATWTDETPAVSTGTLRPGISFHPKLRPILLPGRAGKKGSNSDLTSPDKIQAI MNFLQDLKIVPIDPTKNIMGIEVPELLVHRLTGKKTTTKNGQPIIPILLPKYIGLDPLSQGDLTMVITQDCDSCHSPASL PPVNEK >YP_003815426.1 spike glycoprotein [Tai Forest ebolavirus] MGASGILQLPRERFRKTSFFVWVIILFHKVFSIPLGVVHNNTLQVSDIDKFVCRDKLSSTSQLKSVGLNLEGNGVATDVP TATKRWGFRAGVPPKVVNCEAGEWAENCYNLAIKKVDGSECLPEAPEGVRDFPRCRYVHKVSGTGPCPGGLAFHKEGAFF LYDRLASTIIYRGTTFAEGVIAFLILPKARKDFFQSPPLHEPANMTTDPSSYYHTTTINYVVDNFGTNTTEFLFQVDHLT YVQLEARFTPQFLVLLNETIYSDNRRSNTTGKLIWKINPTVDTSMGEWAFWENKKNFTKTLSSEELSFVPVPETQNQVLD TTATVSPPISAHNHAAEDHKELVSEDSTPVVQMQNIKGKDTMPTTVTGVPTTTPSPFPINARNTDHTKSFIGLEGPQEDH STTQPAKTTSQPTNSTESTTLNPTSEPSSRGTGPSSPTVPNTTESHAELGKTTPTTLPEQHTAASAIPRAVHPDELSGPG FLTNTIRGVTNLLTGSRRKRRDVTPNTQPKCNPNLHYWTALDEGAAIGLAWIPYFGPAAEGIYTEGIMENQNGLICGLRQ LANETTQALQLFLRATTELRTFSILNRKAIDFLLQRWGGTCHILGPDCCIEPQDWTKNITDKIDQIIHDFVDNNLPNQND GSNWWTGWKQWVPAGIGITGVIIAIIALLCICKFML >YP_003815427.1 small secreted glycoprotein [Tai Forest ebolavirus] MGASGILQLPRERFRKTSFFVWVIILFHKVFSIPLGVVHNNTLQVSDIDKFVCRDKLSSTSQLKSVGLNLEGNGVATDVP TATKRWGFRAGVPPKVVNCEAGEWAENCYNLAIKKVDGSECLPEAPEGVRDFPRCRYVHKVSGTGPCPGGLAFHKEGAFF LYDRLASTIIYRGTTFAEGVIAFLILPKARKDFFQSPPLHEPANMTTDPSSYYHTTTINYVVDNFGTNTTEFLFQVDHLT YVQLEARFTPQFLVLLNETIYSDNRRSNTTGKLIWKINPTVDTSMGEWAFWENKKTSQKPFQVKSCLSYLYQKPRTRSLT RQRRSLLPSPPTTTQPKTTKNWFQRIPLQWFRCKTSRERTQCQPQ >YP_003815428.1 second secreted glycoprotein [Tai Forest ebolavirus] MGASGILQLPRERFRKTSFFVWVIILFHKVFSIPLGVVHNNTLQVSDIDKFVCRDKLSSTSQLKSVGLNLEGNGVATDVP TATKRWGFRAGVPPKVVNCEAGEWAENCYNLAIKKVDGSECLPEAPEGVRDFPRCRYVHKVSGTGPCPGGLAFHKEGAFF LYDRLASTIIYRGTTFAEGVIAFLILPKARKDFFQSPPLHEPANMTTDPSSYYHTTTINYVVDNFGTNTTEFLFQVDHLT YVQLEARFTPQFLVLLNETIYSDNRRSNTTGKLIWKINPTVDTSMGEWAFWENKKLHKNPFK >YP_003815429.1 minor nucleoprotein [Tai Forest ebolavirus] MEVVHERGRSRISRQNTRDGPSHLVRARSSSRASYRSEYHTPRSASQIRVPTVFHRKKTDLLTVPPAPKDVCPTLKKGFL CDSNFCKKDHQLESLTDRELLLLIARKTCGSTEQQLSIVAPKDSRLANPIAEDFQQKDGPKVTLSMLIETAEYWSKQDIK NIDDSRLRALLTLCAVMTRKFSKSQLSLLCESHLRREGLGQDQSESVLEVYQRLHSDKGGNFEAALWQQWDRQSLIMFIT AFLNIALQLPCESSSVVISGLRMLIPQSEATEVVTPSETCTWSEGGSSH >YP_003815430.1 membrane-associated protein [Tai Forest ebolavirus] MAKATGRYNLISPKKDLEKGLVLNDLCTLSVAQTVQGWKVTWAGIEFDVTQKGMALLHRLKTSDFAPAWSMTRNLFPHLF QNPNSTIESPLWALRVILAAGIQDQLIDQSLIEPLAGALGLIADWLLTTGTNHFQMRTQQAKEQLSLKMLSLVRSNILKF INQLDALHVVNYNGLLSSIEIGTKSHTIIITRTNMGFLVELQEPDKSAMNTRKPGPVKFSLLHESTLKTLAKKPATQMQA LILEFNSSLAI >YP_003815431.1 RNA-dependent RNA polymerase [Tai Forest ebolavirus] MATQHTQYPDARLSSPIVLDQCDLVTRACGLYSAYSLNPQLKNCRLPKHIYRLKYDTTVTEFLSDVPVATLPADFLVPTF LRTLSGNGSCPIDPKCSQFLEEIVNYTLQDIRFLNYYLNRAGVHNDHVDRDFGQKIRNLICDNEVLHQMFHWYDLAILAR RGRLNRGNNRSTWFASDNLVDILGYGDYIFWKIPLSLLPVDTQGLPHAAKDWYHESVFKEAIQGHTHIVSISTADVLIMC KDIITCRFNTLLIAAVANLEDSVHSDYPLPETVSDLYKAGDYLISLLGSEGYKVIKFLEPLCLAKIQLCSNYTERKGRFL TQMHLAVNHTLEELTGSRELRPQQIRKVREFHQMLINLKATPQQLCELFSVQKHWGHPVLHSEKAIQKVKKHATVIKALR PIIIFETYCVFKYSIAKHYFDSQGTWYSVTSDRCLTPGLSSYIKRNQFPPLPMIKELLWEFYHLDHPPLFSTKVISDLSI FIKDRATAVEKTCWDAVFEPNVLGYNPPNKFATKRVPEQFLEQENFSIESVLHYAQRLEYLLPEYRNFSFSLKEKELNIG RAFGKLPYPTRNVQTLCEALLADGLAKAFPSNMMVVTEREQKESLLHQASWHHTSDDFGENATVRGSSFVTDLEKYNLAF RYEFTAPFIEYCNRCYGVRNLFNWMHYTIPQCYIHVSDYYNPPHGVSLENRENPPEGPSSYRGHLGGIEGLQQKLWTSIS CAQISLVEIKTGFKLRSAVMGDNQCITVLSVFPLETESSEQELSSEDNAARVAASLAKVTSACGIFLKPDETFVHSGFIY FGKKQYLNGVQLPQSLKTATRIAPLSDAIFDDLQGTLASIGTAFERSISETRHVVPCRVAAAFHTFFSVRILQYHHLGFN KGTDLGQLSLSKPLDFGTITLALAVPQVLGGLSFLNPEKCFYRNLGDPVTSGLFQLKTYLQMIHMDDLFLPLIAKNPGNC SAIDFVLNPSGLNVPGSQDLTSFLRQIVRRTITLSAKNKLINTLFHSSADLEDEMVCKWLLSSTPVMSRFAADIFSRTPS GKRLQILGYLEGTRTLLASKIINHNTETPILDRLRKITLQRWSLWFSYLDHCDQVLADALTQITCTVDLAQILREYTWAH ILEGRQLIGATLPCILEQLNVIWLKPYEHCPKCAKSANPKGEPFVSIAIKKHVVSAWPDQSRLSWTIGDGIPYIGSRTED KIGQPAIKPKCPSAALREAIELTSRLTWVTQGGANSDLLVKPFIEARVNLSVQEILQMTPSHYSGNIVHRYNDQYSPHSF MANRMSNSATRLVVSTNTLGEFSGGGQSARDSNIIFQNVINFAVALFDLRFRNVATSSIQHHRAHLHLSKCCTREVPAQY LVYTSTLPLDLTRYRDNELIYDDNPLRGGLNCNLSFDNPLFKGQRLNIIEEDLIRLPYLSGWELAKTVIQSIISDSNNSS TDPISSGETRSFTTHFLTYPKIGLLYSFGALISYYLGNTIIRTKKLTLNNFIYYLATQIHNLPHRSLRILKPTLKHASVI SRLISIDSHFSIYIGGTAGDRGLSDAARLFLRTAITVFLQFVRKWIVERKTAIPLWVIYPLEGQSPSPINSFLHHVIALL QHESSHDHVCAAEAHSRVETFDNLVYMCKSTASNFFHASLAYWRSRSKNQDKREMTKILSLTQTEKKNSFGYTAHPESTA VLGSLQTSLAPPPSADEATYDRKNKVLKASRPGKYSQNTTKAPPNQTSCRDVSPNITGTDGCPSANEGSNSNNNNLVSHR IVLPFFTLSHNYNERPSIRKSEGTTEIVRLTRQLRAIPDTTIYCRFTGIVSSMHYKLDEVLWEFDNFKSAITLAEGEGSG ALLLLQKYKVETLFFNTLATEHSIEAEIISGITTPRMLLPIMSRFHGGQIKVTLNNSASQITDITNPSWLADQKSRIPKQ VEIITMDAETTENINRSKLYEAVQQLIVSHIDPNALKVVVLKVFLSDIDGILWLNDNLTPLFGLGYLIKPITSSPKSSEW YLCLSNLLSTSRRLPHQSHTTCMHVIQTALQLQIQRSSYWLSHLVQYANHNLHLDYINLGFPSLERVLYHRYNLVDSQKG PLTSIVQHLAHLQTEIRELVNDYNQQRQSRTQTYHFIKTIKGRITKLVNDYLKFFLIIQALKHNCTWQEELRALPDLISV CTRFYHTRNCSCENRFLVQTLYLSRMQDSEIKLIDRLTGLLSLCPNGFFR ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Zaire_ebolavirus/GCF_000848505.1_ViralProj14703_genomic.fna ================================================ >NC_002549.1 Zaire ebolavirus isolate Ebola virus/H.sapiens-tc/COD/1976/Yambuku-Mayinga, complete genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTC ATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCACACCTGGTTTGTTTCAGAGCCACATCACAAAGAT AGAGAACAACCTAGGTCTCCGAAGGGAGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTA TCACATCACAAGTTCCACCTCAGACTCTGCAGGGTGATCCAACAACCTTAATAGAAACATTATTGTTAAAGGACAGCATT AGTTCACAGTCAAACAAGCAAGATTGAGAATTAACCTTGGTTTTGAACTTGAACACTTAGGGGATTGAAGATTCAACAAC CCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCG TCCTCAGAAAATCTGGATGGCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCG TTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAAGAAATTTGCCAACTTATCATA CAGGCCTTTGAAGCAGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCA GGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGC GTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGAAAAAACATTAAGAGAACACTTGCTGCCATG CCGGAAGAGGAGACAACTGAAGCTAATGCCGGTCAGTTTCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGG AGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTT GGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTCTGATCAAATTTCTCCTAATACACCAA GGGATGCACATGGTTGCCGGGCATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGCTT ATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCG CCAAGGTAAAAAATGAGGTGAACTCCTTTAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCC CGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTATCGGCAATTGCACTCGGAGTCGC CACAGCACACGGGAGTACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAACTCAGAGAGGCTGCCACTGAGGCTG AGAAGCAACTCCAACAATATGCAGAGTCTCGCGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATG AACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCTATGGTAACTCTAAGAAAAGAGCGCCTGGCCAA GCTGACAGAAGCTATCACTGCTGCGTCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAG GACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTG GTGGTTGATCCCGATGATGGAAGCTACGGCGAATACCAGAGTTACTCGGAAAACGGCATGAATGCACCAGATGACTTGGT CCTATTCGATCTAGACGAGGACGACGAGGACACTAAGCCAGTGCCTAATAGATCGACCAAGGGTGGACAACAGAAGAACA GTCAAAAGGGCCAGCATATAGAGGGCAGACAGACACAATCCAGGCCAATTCAAAATGTCCCAGGCCCTCACAGAACAATC CACCACGCCAGTGCGCCACTCACGGACAATGACAGAAGAAATGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACACC AATTAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTGGAGTCAGATGATGAAG AGCAGGACAGGGACGGAACTTCCAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCTGAAAAG AAAGAACTCCCGCAAGACGAGCAACAAGATCAGGACCACACTCAAGAGGCCAGGAACCAGGACAGTGACAACACCCAGTC AGAACACTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCTGTTTTGTATTATCATATGA TGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGCAAAGAGTACACGTATCCAGACTCCCTTGAAGAGGAATATCCA CCATGGCTCACTGAAAAAGAGGCTATGAATGAAGAGAATAGATTTGTTACATTGGATGGTCAACAATTTTATTGGCCGGT GATGAATCACAAGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGGAACAATGGGATGATTCAACCG ACAAATAGCTAACATTAAGTAGTCAAGGAACGAAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAAT AAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGC AAATAGGCGTTAAGCCACAGTTATAGCCATAATTGTAACTCAATATTCTAACTAGCGATTTATCTAAATTAAATTACATT ATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGAT TAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTCGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGT CTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGCGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAG CTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGAATTCCTGTAAGCGACATCTTCTGTGATATTGAGAACAATCC AGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGACGCGCAACAGTCAAACCCAAACGGACCCAA TTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCA GAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATT GAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGG CAACTGAGGCTTATTGGGCCGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAG ATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAAACAGTACCACTTCACTAACTGA GGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTG CTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAACTCATTGGACATCATTCATGCTGAGTTCCAG GCCAGCCTGGCTGAAGGAGACTCTCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGC TCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAAAGCTTGCGTCCAGTCCCACCATCGC CCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTC CCTTCCCTCCGAAAGAGGCGAATAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTACGTTACATTAATGATACACTTG TGAGTATCAGCCCTGGATAATATAAGTCAATTAAACGACCAAGATAAAATTGTTCATATCTCGCTAGCAGCTTAAAATAT AAATGTAATAGGAGCTATATCTCTGACAGTATTATAATCAATTGTTATTAAGTAACCCAAACCAAAAGTGATGAAGATTA AGAAAAACCTACCTCGGCTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATAT GAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTA GAGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGGGACACTCCATCGAATCCACTCAGGCCAATT GCCGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTTGAAGCTATGGTGAATGT CATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCT TTGACTCAACTACGGCCGCCATCATGCTTGCTTCATACACTATCACCCATTTCGGCAAGGCAACCAATCCACTTGTCAGA GTCAATCGGCTGGGTCCTGGAATCCCGGATCATCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTT CGTTCTTCCGCCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACCCAACCACTGCCTG CTGCAACATGGACCGATGACACTCCAACAGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGC CCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAAT GACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGAATCGAAGTGCCAGAAACTCTGG TCCACAAGCTGACCGGTAAGAAGGTGACTTCTAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGG TTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCC AGCTGTGATTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTATAGAATCTTCTCAGGGATAGTGATAACATCTA TTTAGTAATCCGTCCATTAGAGGAGACACTTTTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTTTTTTCTC TCCTAAATGTAGAACTTAACAAAAGACTCATAATATACTTGTTTTTAAAGGATTGATTGATGAAAGATCATAACTAATAA CATTACAAATAATCCTACTATAATCAATACGGTGATTCAAATGTTAATCTTTCTCATTGCACATACTTTTTGCCCTTATC CTCAAATTGCCTGCATGCTTACATCTGAGGATAGCCAGTGTGACTTGGATTGGAAATGTGGAGAAAAAATCGGGACCCAT TTCTAGGTTGTTCACAATCCAAGTACAGACATTGCCCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGT GAGCGTAATCTTCATCTCTCTTAGATTATTTGTTTTCCAGAGTAGGGGTCGTCAGGTCCTTTTCAATCGTGTAACCAAAA TAAACTCCACTAGAAGGATATTGTGGGGCAACAACACAATGGGCGTTACAGGAATATTGCAGTTACCTCGTGATCGATTC AAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCACTTGGAGTCATCCACAATAG CACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGAC TGAATCTCGAAGGGAATGGAGTGGCAACTGACGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCA AAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTG TCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCGTGTG CCGGAGACTTTGCCTTCCATAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACG ACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGA GCCGGTCAATGCAACGGAGGACCCGTCTAGTGGCTACTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACCA ATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTC CAGCTGAATGAGACAATATATACAAGTGGGAAAAGGAGCAATACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAAT TGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTT CACAGTTGTATCAAACGGAGCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGGGACCAACACAA CAACTGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCA GTGTCGCATCTAACAACCCTTGCCACAATCTCCACGAGTCCCCAATCCCTCACAACCAAACCAGGTCCGGACAACAGCAC CCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGAACAACATCACCGCAGAACAGACAACGACA GCACAGCCTCCGACACTCCCTCTGCCACGACCGCAGCCGGACCCCCAAAAGCAGAGAACACCAACACGAGCAAGAGCACT GACTTCCTGGACCCCGCCACCACAACAAGTCCCCAAAACCACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGA TACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTCGCAGGACTGATCACAG GCGGGAGAAGAACTCGAAGAGAAGCAATTGTCAATGCTCAACCCAAATGCAACCCTAATTTACATTACTGGACTACTCAG GATGAAGGTGCTGCAATCGGACTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAGGGAATTTACATAGAGGGGCTAAT GCACAATCAAGATGGTTTAATCTGTGGGTTGAGACAGCTGGCCAACGAGACGACTCAAGCTCTTCAACTGTTCCTGAGAG CCACAACTGAGCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATTTCTTGCTGCAGCGATGGGGCGGCACATGC CACATTCTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCA TGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAG GTATTGGAGTTACAGGCGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTTTTTCTTCAGA TTGCTTCATGGAAAAGCTCAGCCTCAAATCAATGAAACCAGGATTTAATTATATGGATTACTTGAATCTAAGATTACTTG ACAAATGATAATATAATACACTGGAGCTTTAAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAA ACAAGGTTTGACATCAATCTAGTTATCTCTTTGAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATT ATCTTTAATCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAGTGACAAGGGAAAGAAGCCTTTTTATTAAGTTG TAATAATCAGATCTGCGAACCGGTAGAGTTTAGTTGCAACCTAACACACATAAAGCATTGGTCAAAAAGTCAATAGAAAT TTAAACAGTGAGTGGAGACAACTTTTAAATGGAAGCTTCATATGAGAGAGGACGCCCACGAGCTGCCAGACAGCATTCAA GGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGC GCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACAT ATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGATCACCAGTTGGAGAGTTTAACTGATA GGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCG CGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACACTGATCAAGACGGC AGAACACTGGGCGAGACAAGACATCAGAACCATAGAGGATTCAAAATTAAGAGCATTGTTGACTCTATGTGCTGTGATGA CGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTATGTGAGACACACCTAAGGCGCGAGGGGCTTGGGCAAGATCAGGCA GAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGA CCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATTGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTG TTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGAT GAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCAT ATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCGTTTCAAATTAATAAGATGTGCATGA TTGCCCTAATATATGAAGAGGTATGATACAACCCTAACAGTGATCAAAGAAAATCATAATCTCGTATCGCTCGTAATATA ACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTTACTCTACAGGAGGTAGCAACGATCCA TCCCATCAAAAAATAAGTATTTCATGACTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTT TATGCTTCAAGCTGTGGAGGAGGTGTTTGGTATTGGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGT TCTTGTTTCAAGAGGTAGATTGTGACCGGAAATGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAAC CTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAGTACTATTTCAGGGTAGTCCAATTAGTG GCACGTCTTTTAGCTGTATATCAGTCGCCCCTGAGATACGCCACAAAAGTGTCTCTAAGCTAAATTGGTCTGTACACATC CCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCGTTTAAAATTTAGTGCATAAATCTGGGCTAACACCA CCAGGTCAACTCCATTGGCTGAAAAGAAGCTTACCTACAACGAACATCACTTTGAGCGCCCTCACAATTAAAAAATAGGA ACGTCGTTCCAACAATCGAGCGCAAGGTTTCAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATTGATACTCCAGACA CCAAGCAAGACCTGAGAAAAAACCATGGCTAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAA AGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGCCAAACTATTCAGGGGTGGAAGGTTTATTGGGCTGGTATTG AGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACA AGGAATCTCTTTCCTCATTTATTTCAAAATCCGAATTCCACAATTGAATCACCGCTGTGGGCATTGAGAGTCATCCTTGC AGCAGGGATACAGGACCAGCTGATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGC TGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTG ATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAACGGATTGTTGAGCAGTAT TGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACA AATCGGCAATGAACCGCATGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAA GGATCCTCGACACGAATGCAAAGTTTGATTCTTGAATTTAATAGCTCTCTTGCTATCTAACTAAGGTAGAATACTTCATA TTGAGCTAACTCATATATGCTGACTCAATAGTTATCTTGACATCTCTGCTTTCATAATCAGATATATAAGCATAATAAAT AAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTAC AAAAACCAGGACTCAGAATCCCTCAAACAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATATGAATAAGCATT TTATCACCAGAAATCCTATATACTAAATGGTTAATTGTAACTGAACCCGCAGGTCACATGTGTTAGGTTTCACAGATTCT ATATATTACTAACTCTATACTCGTAATTAACATTAGATAAGTAGATTAAGAAAAAAGCCTGAGGAAGATTAAGAAAAACT GCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGAAATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCA ATACCCAGACGCTAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTAGTCACTAGAGCTTGCGGGTTATATTCAT CATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTGAAATACGATGTAACTGTTACC AAGTTCTTGAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAGTTCTTCTCAAGGCACTGTCAGGCAA TGGATTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATCATTAAGTACACAATGCAAGATGCTCTCTTCT TGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGAACACTTTCAAGAGAAAATCTTATCTTCAATT CAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGATCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGG AAACTCTAGATCAACATGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCC CAATTTCAATGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGACTGGTATCAGGCATCAGTATTCAAAGAA GCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCG ATTCAACACAACTCTAATCTCAAAAATAGCAGAGATTGAGGATCCAGTTTGTTCTGATTATCCCAATTTTAAGATTGTGT CTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATTATTAAGTTCCTCGAACCA TTGTGCTTGGCCAAAATTCAATTATGCTCAAAGTACACTGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGT AAATCACACCCTAGAAGAAATTACAGAAATGCGTGCACTAAAGCCTTCACAGGCTCAAAAGATCCGTGAATTCCATAGAA CATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATTCAAAAACACTGGGGGCATCCTGTGCTA CATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATAGTGATTTTCGAGAC ATACTGTGTTTTTAAATATAGTATTGCCAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACTTCAGATAGGA ATCTAACACCGGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTACTATGGGAA TTTTACCACCTTGACCACCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTAC CGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTTAGTACTA AACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCACAAAAACTCGAGTAT CTACTACCACAATATCGGAACTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACCTTCGGAAAATTGCC TTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGA TGGTAGTTACGGAACGTGAGCAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTTGGTGAA CATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGATATGAGTTTACAGCACC TTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATA TGCATGTCAGTGATTATTATAATCCACCACATAACCTCACACTGGAGAATCGAGACAACCCCCCCGAAGGGCCTAGTTCA TACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGT TGAAATTAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGGTGACAATCAGTGCATTACTGTTTTATCAGTCTTCCCCT TAGAGACTGACGCAGACGAGCAGGAACAGAGCGCCGAAGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACA AGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTT GAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTC AAGGGACCCTGGCTAGTATAGGCACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGGATAACC GCAGCTTTCCATACGTTTTTTTCGGTGAGAATCTTGCAATATCATCATCTCGGGTTCAATAAAGGTTTTGACCTTGGACA GTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCT TCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGCTTATTCCAGTTAAAAACTTATCTC CGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCT AAATCCTAGCGGATTAAATGTCCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGCAGGACCATCACCC TAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCGTCAGCTGACTTCGAAGACGAAATGGTTTGTAAATGGCTA TTATCATCAACTCCTGTTATGAGTCGTTTTGCGGCCGATATCTTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCT AGGATACCTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAGACACCGGTTTTGGACAGAC TGAGGAAAATAACATTGCAAAGGTGGAGCCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTA ACCCAAATAACTTGCACAGTTGATTTAGCACAGATTCTGAGGGAATATTCATGGGCTCATATTTTAGAGGGAAGACCTCT TATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGTTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTT CAAATGCAAAGCAACCAGGTGGGAAACCATTCGTGTCAGTGGCAGTCAAGAAACATATTGTTAGTGCATGGCCGAACGCA TCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGACAACCTGCTAT TAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTT CGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCT TCACATTACTCAGGAAATATTGTTCACAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAA TTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAGTCTGCACGCGACAGCAATA TTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAA TATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAAGTACCAGCTCAGTATTTAACATACACATCTACATT GGATTTAGATTTAACAAGATACCGAGAAAACGAATTGATTTATGACAGTAATCCTCTAAAAGGAGGACTCAATTGCAATA TCTCATTCGATAATCCATTTTTCCAAGGTAAACGGCTGAACATTATAGAAGATGATCTTATTCGACTGCCTCACTTATCT GGATGGGAGCTAGCCAAGACCATCATGCAATCAATTATTTCAGATAGCAACAATTCATCTACAGACCCAATTAGCAGTGG AGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTT ATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACTCAAATTCAT AATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGGTTAATGAGTATTGA TCCTCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGT CCATTTCATCTTTTCTTACATTTGTAAAAGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCG CTAGAGGGTCAAAACCCAACACCTGTGAATAATTTTCTCTATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACA ACAGGCTTTTAAAACTACCATAAGTGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCA ATTTCTTCCATGCATCATTGGCGTACTGGAGGAGCAGACACAGAAACAGCAACCGAAAATACTTGGCAAGAGACTCTTCA ACTGGATCAAGCACAAACAACAGTGATGGTCATATTGAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCAC TGAACGGAATCTAGTCCTACAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAAAACACGCACCAGGGTCCGT CGTTCCAGTCCTTTCTAAGTGACTCTGCTTGTGGTACAGCAAATCCAAAACTAAATTTCGATCGATCGAGACACAATGTG AAATTTCAGGATCATAACTCGGCATCCAAGAGGGAAGGTCATCAAATAATCTCACACCGTCTAGTCCTACCTTTCTTTAC ATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGACGAGATATCAAAGTACTTACGGCAAT TGAGATCCGTCATTGATACCACAGTTTATTGTAGATTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTC CTTTGGGAAATAGAGAGTTTCAAGTCGGCTGTGACGCTAGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAA ATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTA CTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAA ATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAAGCAAGTCGAGGTTATAACCATGGA TGCAGAGACAACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAATTGATCTTACACCATATTGATCCTA GCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACTGAGGGTATGTTATGGCTAAATGATAATTTAGCCCCG TTTTTTGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGCTAGATCTAGTGAGTGGTATCTTTGTCTGACGAACTT CTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAACAGGTAATACTTACGGCATTGCAACTGCAAA TTCAACGAAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGTGAGTTACATTTAAGTTATATCCGCCTTGGT TTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTCGTCGATTCAAAAAGAGGTCCACTAGTCTCTATCACTCA GCACTTAGCACATCTTAGAGCAGAGATTCGAGAATTAACTAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACAT ATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCA TTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTACCATAT TAGAGATTGCAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTA TCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCGGATGGTCTCTACAGGTTTGATTGAATTACCGTGCATAGTATCCTG ATACTTGCAAAGGTTGGTTATTAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATATTGATCTAATCT CAATAAACAACTATTTAAATAACGAAAGGAGTCCCTATATTATATACTATATTTAGCCTCTCTCCCTGCGTGATAATCAA AAAATTCACAATGCAGCATGTGTGACATATTACTGCCGCAATGAATTTAACGCAACATAATAAACTCTGCACTCTTTATA ATTAAGCTTTAACGAAAGGTCTGGGCTCATATTGTTATTGATATAATAATGTTGTATCAATATCCTGTCAGATGGAATAG TGTTTTGGTTGATAACACAACTTCTTAAAACAAAATTGATCTTTAAGATTAAGTTTTTTATAATTATCATTACTTTAATT TGTCGTTTTAAAAACGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACCTTAACATTTTTGTCTA GTAAGCTACTATTTCATACAGAATGATAAAATTAAAAGAAAAGGCAGGACTGTAAAATCAGAAATACCTTCTTTACAATA TAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGACATTGACCACGCTCATCAGAAGGCTCGCCAGAATAAAC GTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/Viruses/Zaire_ebolavirus/GCF_000848505.1_ViralProj14703_protein.faa ================================================ >NP_066243.1 nucleoprotein [Zaire ebolavirus] MDSRPQKIWMAPSLTESDMDYHKILTAGLSVQQGIVRQRVIPVYQVNNLEEICQLIIQAFEAGVDFQESADSFLLMLCLH HAYQGDYKLFLESGAVKYLEGHGFRFEVKKRDGVKRLEELLPAVSSGKNIKRTLAAMPEEETTEANAGQFLSFASLFLPK LVVGEKACLEKVQRQIQVHAEQGLIQYPTAWQSVGHMMVIFRLMRTNFLIKFLLIHQGMHMVAGHDANDAVISNSVAQAR FSGLLIVKTVLDHILQKTERGVRLHPLARTAKVKNEVNSFKAALSSLAKHGEYAPFARLLNLSGVNNLEHGLFPQLSAIA LGVATAHGSTLAGVNVGEQYQQLREAATEAEKQLQQYAESRELDHLGLDDQEKKILMNFHQKKNEISFQQTNAMVTLRKE RLAKLTEAITAASLPKTSGHYDDDDDIPFPGPINDDDNPGHQDDDPTDSQDTTIPDVVVDPDDGSYGEYQSYSENGMNAP DDLVLFDLDEDDEDTKPVPNRSTKGGQQKNSQKGQHIEGRQTQSRPIQNVPGPHRTIHHASAPLTDNDRRNEPSGSTSPR MLTPINEEADPLDDADDETSSLPPLESDDEEQDRDGTSNRTPTVAPPAPVYRDHSEKKELPQDEQQDQDHTQEARNQDSD NTQSEHSFEEMYRHILRSQGPFDAVLYYHMMKDEPVVFSTSDGKEYTYPDSLEEEYPPWLTEKEAMNEENRFVTLDGQQF YWPVMNHKNKFMAILQHHQ >NP_066244.1 polymerase complex protein [Zaire ebolavirus] MTTRTKGRGHTAATTQNDRMPGPELSGWISEQLMTGRIPVSDIFCDIENNPGLCYASQMQQTKPNPKTRNSQTQTDPICN HSFEEVVQTLASLATVVQQQTIASESLEQRITSLENGLKPVYDMAKTISSLNRVCAEMVAKYDLLVMTTGRATATAAATE AYWAEHGQPPPGPSLYEESAIRGKIESRDETVPQSVREAFNNLNSTTSLTEENFGKPDISAKDLRNIMYDHLPGFGTAFH QLVQVICKLGKDSNSLDIIHAEFQASLAEGDSPQCALIQITKRVPIFQDAAPPVIHIRSRGDIPRACQKSLRPVPPSPKI DRGWVCVFQLQDGKTLGLKI >NP_066245.1 matrix protein [Zaire ebolavirus] MRRVILPTAPPEYMEAIYPVRSNSTIARGGNSNTGFLTPESVNGDTPSNPLRPIADDTIDHASHTPGSVSSAFILEAMVN VISGPKVLMKQIPIWLPLGVADQKTYSFDSTTAAIMLASYTITHFGKATNPLVRVNRLGPGIPDHPLRLLRIGNQAFLQE FVLPPVQLPQYFTFDLTALKLITQPLPAATWTDDTPTGSNGALRPGISFHPKLRPILLPNKSGKKGNSADLTSPEKIQAI MTSLQDFKIVPIDPTKNIMGIEVPETLVHKLTGKKVTSKNGQPIIPVLLPKYIGLDPVAPGDLTMVITQDCDTCHSPASL PAVIEK >NP_066246.1 spike glycoprotein [Zaire ebolavirus] MGVTGILQLPRDRFKRTSFFLWVIILFQRTFSIPLGVIHNSTLQVSDVDKLVCRDKLSSTNQLRSVGLNLEGNGVATDVP SATKRWGFRSGVPPKVVNYEAGEWAENCYNLEIKKPDGSECLPAAPDGIRGFPRCRYVHKVSGTGPCAGDFAFHKEGAFF LYDRLASTVIYRGTTFAEGVVAFLILPQAKKDFFSSHPLREPVNATEDPSSGYYSTTIRYQATGFGTNETEYLFEVDNLT YVQLESRFTPQFLLQLNETIYTSGKRSNTTGKLIWKVNPEIDTTIGEWAFWETKKNLTRKIRSEELSFTVVSNGAKNISG QSPARTSSDPGTNTTTEDHKIMASENSSAMVQVHSQGREAAVSHLTTLATISTSPQSLTTKPGPDNSTHNTPVYKLDISE ATQVEQHHRRTDNDSTASDTPSATTAAGPPKAENTNTSKSTDFLDPATTTSPQNHSETAGNNNTHHQDTGEESASSGKLG LITNTIAGVAGLITGGRRTRREAIVNAQPKCNPNLHYWTTQDEGAAIGLAWIPYFGPAAEGIYIEGLMHNQDGLICGLRQ LANETTQALQLFLRATTELRTFSILNRKAIDFLLQRWGGTCHILGPDCCIEPHDWTKNITDKIDQIIHDFVDKTLPDQGD NDNWWTGWRQWIPAGIGVTGVIIAVIALFCICKFVF >NP_066247.1 small secreted glycoprotein [Zaire ebolavirus] MGVTGILQLPRDRFKRTSFFLWVIILFQRTFSIPLGVIHNSTLQVSDVDKLVCRDKLSSTNQLRSVGLNLEGNGVATDVP SATKRWGFRSGVPPKVVNYEAGEWAENCYNLEIKKPDGSECLPAAPDGIRGFPRCRYVHKVSGTGPCAGDFAFHKEGAFF LYDRLASTVIYRGTTFAEGVVAFLILPQAKKDFFSSHPLREPVNATEDPSSGYYSTTIRYQATGFGTNETEYLFEVDNLT YVQLESRFTPQFLLQLNETIYTSGKRSNTTGKLIWKVNPEIDTTIGEWAFWETKKTSLEKFAVKSCLSQLYQTEPKTSVV RVRRELLPTQGPTQQLKTTKSWLQKIPLQWFKCTVKEGKLQCRI >NP_066248.1 second secreted glycoprotein [Zaire ebolavirus] MGVTGILQLPRDRFKRTSFFLWVIILFQRTFSIPLGVIHNSTLQVSDVDKLVCRDKLSSTNQLRSVGLNLEGNGVATDVP SATKRWGFRSGVPPKVVNYEAGEWAENCYNLEIKKPDGSECLPAAPDGIRGFPRCRYVHKVSGTGPCAGDFAFHKEGAFF LYDRLASTVIYRGTTFAEGVVAFLILPQAKKDFFSSHPLREPVNATEDPSSGYYSTTIRYQATGFGTNETEYLFEVDNLT YVQLESRFTPQFLLQLNETIYTSGKRSNTTGKLIWKVNPEIDTTIGEWAFWETKKPH >NP_066249.1 minor nucleoprotein [Zaire ebolavirus] MEASYERGRPRAARQHSRDGHDHHVRARSSSRENYRGEYRQSRSASQVRVPTVFHKKRVEPLTVPPAPKDICPTLKKGFL CDSSFCKKDHQLESLTDRELLLLIARKTCGSVEQQLNITAPKDSRLANPTADDFQQEEGPKITLLTLIKTAEHWARQDIR TIEDSKLRALLTLCAVMTRKFSKSQLSLLCETHLRREGLGQDQAEPVLEVYQRLHSDKGGSFEAALWQQWDRQSLIMFIT AFLNIALQLPCESSAVVVSGLRTLVPQSDNEEASTNPGTCSWSDEGTP >NP_066250.1 membrane-associated protein [Zaire ebolavirus] MAKATGRYNLISPKKDLEKGVVLSDLCNFLVSQTIQGWKVYWAGIEFDVTHKGMALLHRLKTNDFAPAWSMTRNLFPHLF QNPNSTIESPLWALRVILAAGIQDQLIDQSLIEPLAGALGLISDWLLTTNTNHFNMRTQRVKEQLSLKMLSLIRSNILKF INKLDALHVVNYNGLLSSIEIGTQNHTIIITRTNMGFLVELQEPDKSAMNRMKPGPAKFSLLHESTLKAFTQGSSTRMQS LILEFNSSLAI >NP_066251.1 RNA-dependent RNA polymerase [Zaire ebolavirus] MATQHTQYPDARLSSPIVLDQCDLVTRACGLYSSYSLNPQLRNCKLPKHIYRLKYDVTVTKFLSDVPVATLPIDFIVPVL LKALSGNGFCPVEPRCQQFLDEIIKYTMQDALFLKYYLKNVGAQEDCVDEHFQEKILSSIQGNEFLHQMFFWYDLAILTR RGRLNRGNSRSTWFVHDDLIDILGYGDYVFWKIPISMLPLNTQGIPHAAMDWYQASVFKEAVQGHTHIVSVSTADVLIMC KDLITCRFNTTLISKIAEIEDPVCSDYPNFKIVSMLYQSGDYLLSILGSDGYKIIKFLEPLCLAKIQLCSKYTERKGRFL TQMHLAVNHTLEEITEMRALKPSQAQKIREFHRTLIRLEMTPQQLCELFSIQKHWGHPVLHSETAIQKVKKHATVLKALR PIVIFETYCVFKYSIAKHYFDSQGSWYSVTSDRNLTPGLNSYIKRNQFPPLPMIKELLWEFYHLDHPPLFSTKIISDLSI FIKDRATAVERTCWDAVFEPNVLGYNPPHKFSTKRVPEQFLEQENFSIENVLSYAQKLEYLLPQYRNFSFSLKEKELNVG RTFGKLPYPTRNVQTLCEALLADGLAKAFPSNMMVVTEREQKESLLHQASWHHTSDDFGEHATVRGSSFVTDLEKYNLAF RYEFTAPFIEYCNRCYGVKNVFNWMHYTIPQCYMHVSDYYNPPHNLTLENRDNPPEGPSSYRGHMGGIEGLQQKLWTSIS CAQISLVEIKTGFKLRSAVMGDNQCITVLSVFPLETDADEQEQSAEDNAARVAASLAKVTSACGIFLKPDETFVHSGFIY FGKKQYLNGVQLPQSLKTATRMAPLSDAIFDDLQGTLASIGTAFERSISETRHIFPCRITAAFHTFFSVRILQYHHLGFN KGFDLGQLTLGKPLDFGTISLALAVPQVLGGLSFLNPEKCFYRNLGDPVTSGLFQLKTYLRMIEMDDLFLPLIAKNPGNC TAIDFVLNPSGLNVPGSQDLTSFLRQIVRRTITLSAKNKLINTLFHASADFEDEMVCKWLLSSTPVMSRFAADIFSRTPS GKRLQILGYLEGTRTLLASKIINNNTETPVLDRLRKITLQRWSLWFSYLDHCDNILAEALTQITCTVDLAQILREYSWAH ILEGRPLIGATLPCMIEQFKVFWLKPYEQCPQCSNAKQPGGKPFVSVAVKKHIVSAWPNASRISWTIGDGIPYIGSRTED KIGQPAIKPKCPSAALREAIELASRLTWVTQGSSNSDLLIKPFLEARVNLSVQEILQMTPSHYSGNIVHRYNDQYSPHSF MANRMSNSATRLIVSTNTLGEFSGGGQSARDSNIIFQNVINYAVALFDIKFRNTEATDIQYNRAHLHLTKCCTREVPAQY LTYTSTLDLDLTRYRENELIYDSNPLKGGLNCNISFDNPFFQGKRLNIIEDDLIRLPHLSGWELAKTIMQSIISDSNNSS TDPISSGETRSFTTHFLTYPKIGLLYSFGAFVSYYLGNTILRTKKLTLDNFLYYLTTQIHNLPHRSLRILKPTFKHASVM SRLMSIDPHFSIYIGGAAGDRGLSDAARLFLRTSISSFLTFVKEWIINRGTIVPLWIVYPLEGQNPTPVNNFLYQIVELL VHDSSRQQAFKTTISDHVHPHDNLVYTCKSTASNFFHASLAYWRSRHRNSNRKYLARDSSTGSSTNNSDGHIERSQEQTT RDPHDGTERNLVLQMSHEIKRTTIPQENTHQGPSFQSFLSDSACGTANPKLNFDRSRHNVKFQDHNSASKREGHQIISHR LVLPFFTLSQGTRQLTSSNESQTQDEISKYLRQLRSVIDTTVYCRFTGIVSSMHYKLDEVLWEIESFKSAVTLAEGEGAG ALLLIQKYQVKTLFFNTLATESSIESEIVSGMTTPRMLLPVMSKFHNDQIEIILNNSASQITDITNPTWFKDQRARLPKQ VEVITMDAETTENINRSKLYEAVYKLILHHIDPSVLKAVVLKVFLSDTEGMLWLNDNLAPFFATGYLIKPITSSARSSEW YLCLTNFLSTTRKMPHQNHLSCKQVILTALQLQIQRSPYWLSHLTQYADCELHLSYIRLGFPSLEKVLYHRYNLVDSKRG PLVSITQHLAHLRAEIRELTNDYNQQRQSRTQTYHFIRTAKGRITKLVNDYLKFFLIVQALKHNGTWQAEFKKLPELISV CNRFYHIRDCNCEERFLVQTLYLHRMQDSEVKLIERLTGLLSLFPDGLYRFD ================================================ FILE: tests/input/TestMetagenomicsSimple/db/library/prelim_map.txt ================================================ ACCNUM NC_014373.1 NC_014373 ACCNUM NC_002549.1 NC_002549 ACCNUM NC_004161.1 NC_004161 ACCNUM NC_014372.1 NC_014372 ACCNUM NC_006432.1 NC_006432 ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/accession2taxid/nucl_est.accession2taxid ================================================ accession accession.version taxid gi ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/accession2taxid/nucl_gb.accession2taxid ================================================ accession accession.version taxid gi NC_002549 NC_002549.1 186538 10313991 NC_004161 NC_004161.1 186539 22789222 NC_006432 NC_006432.1 186540 55770807 NC_014373 NC_014373.1 565995 302371213 NC_014372 NC_014372.1 186541 302315369 ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/accession2taxid/nucl_gss.accession2taxid ================================================ accession accession.version taxid gi ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/accession2taxid/nucl_wgs.accession2taxid ================================================ accession accession.version taxid gi ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/accession2taxid/pdb.accession2taxid ================================================ accession accession.version taxid gi 5HQL_A 5HQL_A 1 1134776119 5HQL_B 5HQL_B 1 1134776120 5HQL_C 5HQL_C 1 1134776121 5HQL_D 5HQL_D 1 1134776122 5HQL_E 5HQL_E 1 1134776123 5HQL_F 5HQL_F 1 1134776124 ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/accession2taxid/prot.accession2taxid ================================================ accession accession.version taxid gi NP_066244 NP_066244.1 186538 10313992 NP_066245 NP_066245.1 186538 10313993 NP_066247 NP_066247.1 186538 10313994 NP_066246 NP_066246.1 186538 10313995 NP_066248 NP_066248.1 186538 10313996 NP_066249 NP_066249.1 186538 10313997 NP_066250 NP_066250.1 186538 10313998 NP_066251 NP_066251.1 186538 10313999 NP_066243 NP_066243.1 186538 10314000 NP_690580 NP_690580.1 186539 22789223 NP_690581 NP_690581.1 186539 22789224 NP_690582 NP_690582.1 186539 22789225 NP_690584 NP_690584.1 186539 22789226 NP_690585 NP_690585.1 186539 22789227 NP_690586 NP_690586.1 186539 22789228 NP_690587 NP_690587.1 186539 22789229 NP_690583 NP_690583.1 186539 22789230 YP_138520 YP_138520.1 186540 55770808 YP_138521 YP_138521.1 186540 55770809 YP_138522 YP_138522.1 186540 55770810 YP_138524 YP_138524.1 186540 55770811 YP_138523 YP_138523.1 186540 55770812 YP_138525 YP_138525.1 186540 55770813 YP_138526 YP_138526.1 186540 55770814 YP_138527 YP_138527.1 186540 55770815 YP_003815432 YP_003815432.1 565995 302371214 YP_003815433 YP_003815433.1 565995 302371215 YP_003815434 YP_003815434.1 565995 302371216 YP_003815436 YP_003815436.1 565995 302371217 YP_003815435 YP_003815435.1 565995 302371218 YP_003815438 YP_003815438.1 565995 302371219 YP_003815439 YP_003815439.1 565995 302371220 YP_003815440 YP_003815440.1 565995 302371221 YP_003815437 YP_003815437.1 565995 302371222 YP_003815423 YP_003815423.1 186541 302315370 YP_003815424 YP_003815424.1 186541 302315371 YP_003815425 YP_003815425.1 186541 302315372 YP_003815426 YP_003815426.1 186541 302315373 YP_003815427 YP_003815427.1 186541 302315374 YP_003815429 YP_003815429.1 186541 302315375 YP_003815430 YP_003815430.1 186541 302315376 YP_003815431 YP_003815431.1 186541 302315377 YP_003815428 YP_003815428.1 186541 302315378 YP_009246340 YP_009246340.1 186539 1021000625 YP_009246341 YP_009246341.1 186540 1021000626 ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/delnodes.dmp ================================================ ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/gi_taxid_nucl.dmp ================================================ ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/gi_taxid_prot.dmp ================================================ 1134776119 1 1134776120 1 1134776121 1 1134776122 1 1134776123 1 1134776124 1 ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/merged.dmp ================================================ ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/names.dmp ================================================ 1 | all | | synonym | 1 | root | | scientific name | 10239 | Vira | | synonym | 10239 | Viridae | | synonym | 10239 | Viruses | | scientific name | 10239 | viruses | viruses | blast name | 11157 | Mononegavirales | | scientific name | 11157 | negative-sense genome single-stranded RNA viruses | | genbank common name | 11266 | Filoviridae | | scientific name | 11266 | Filovirus | | synonym | 35301 | ssRNA negative-strand viruses | | scientific name | 186536 | Ebola-like viruses | | synonym | 186536 | Ebolavirus | | scientific name | 186538 | ZEBOV | | acronym | 186538 | Zaire Ebola virus | | synonym | 186538 | Zaire ebolavirus | | scientific name | 186539 | Ebola virus Reston | | synonym | 186539 | REBOV | | acronym | 186539 | RESTV | | acronym | 186539 | Reston Ebola virus | | synonym | 186539 | Reston ebolavirus | | scientific name | 186540 | Ebolavirus Sudan | | synonym | 186540 | SEBOV | | acronym | 186540 | SUDV | | acronym | 186540 | Sudan Ebola virus | | synonym | 186540 | Sudan ebolavirus | | scientific name | 186541 | CIEBOV | | acronym | 186541 | Cote d'Ivoire Ebola virus | | synonym | 186541 | Cote d'Ivoire ebolavirus | | synonym | 186541 | Ivory Coast ebolavirus | | synonym | 186541 | TAFV | | acronym | 186541 | Tai Forest ebolavirus | | scientific name | 186541 | Tai Forest virus | | synonym | 439488 | ssRNA viruses | | scientific name | 565995 | BDBV | | acronym | 565995 | Bundibugyo ebolavirus | | scientific name | 565995 | Bundibugyo virus | | synonym | 565995 | Ebolavirus bundibugyo | | synonym | ================================================ FILE: tests/input/TestMetagenomicsSimple/db/taxonomy/nodes.dmp ================================================ 1 | 1 | no rank | | 8 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | | 10239 | 1 | superkingdom | | 9 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | | 11157 | 35301 | order | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 11266 | 11157 | family | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 35301 | 439488 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 186536 | 11266 | genus | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 186538 | 186536 | species | ZE | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 186539 | 186536 | species | RE | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 186540 | 186536 | species | SE | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 186541 | 186536 | species | TF | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 439488 | 10239 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 565995 | 186536 | species | BE | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | ================================================ FILE: tests/input/TestMetagenomicsSimple/zaire_ebola.1.fastq ================================================ @gi|10313991|ref|NC_002549.1|_10362_10852_0:0:0_5:0:0_0/1 CGACATGTAGAGCATCCAAATTTTTAATAAACTTGAGACTATTGGATCGAATCAACGACCGCATTTTTAGGCTCAATTGTACCTTGACACGTTGTGTTCGCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15762_16228_1:0:1_1:0:0_1/1 CTCATTCGATAATCCATTTTTCCAAGGTAAACGGCTGAACATTATAGAATAGATGATCTTATTCGCCTGCCTCACTTATCTGGATGGGAGCTAGCCAAGACC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11931_12413_0:0:0_0:0:0_2/1 TCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGAACACTTTCAAGAGAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4003_4599_1:0:0_2:0:0_3/1 CACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAACGCTTGCGTCCAGTCCCACCATCGCCCAAGATTGATCGAGGTTGGGTAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14754_15169_1:0:0_0:0:0_4/1 TTGATCCAATGTATGGGATTCCATCCCCGATAGTCCAGCTTATTCGGGATGCGTTCGGCCATGCACTAACAATATGTTTCTTGACTGCCACTGACACGAATG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13715_14227_2:0:0_2:0:0_5/1 AACCTTTATTGAACCCGAGATGATGATATTGCAAGATTCTCACCGAAAAAAACGTATGGAACGCTGCGGTTATCCTGCAATGAAAGATATGTCGTGTCTCAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4686_5203_2:0:0_0:0:0_6/1 GTCATTATTGCTTGGATTTTCTCCGGAGATGTTAGATCGGCACTGTTCCCCTTCTTCCCACTTTTGTTGGGTAAAAGAATGGGGCGAAGTTTTGGATGAAAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15756_16318_1:0:1_0:0:0_7/1 GATATACTATCCATAAAGGGACAATTGTTCCGCGATTAATTATCCATTCTTTTACAAATGTAAGAAAAGATGAAATGGACGTTCTCAAAAATAACCTGGCCG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10034_10501_2:0:0_2:0:0_8/1 AGATACGCCACACAAGTGTCTCTAAGCTAAATTGGTCTGTACACATCCCATACATTGTATTAGGGGCAATAATATCTAATTGCACTTAGCCGTTTAAAATTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5357_5868_2:0:0_4:0:0_9/1 TGGGTAGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGAGATTGAGAAGTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7324_7712_4:0:0_0:0:0_a/1 GCCAAAAGCAGAGAACACCAACACGAGCAAGCGCACTGACTTCCTGGACGCCGCCACCACAACAAGTCCCCAAAACGACAGCGAGACCGCTGGCAACAACAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14867_15301_1:0:0_1:0:0_b/1 TTATTAGCAAGTCACTGTTCGAACTGCCTTGAGTTACCCATGTTAAACGGGACGCCAATTCAATGGCCTCTCTTAAGGCTGGGGAAGGACATTTTGGTTTAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2491_3004_4:0:0_5:1:0_c/1 GCCTGTAGTTTACAGTACCAGTTATGGCAAAGAGTACACGTATCCAGACTCCCTTGAAGAGGAATATCCACCCTGGCTCACTGACAAAGAGGCTATGAATGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11709_12286_2:0:0_3:0:0_d/1 CGTCGGCAGTAGAAACAGAAACAAAGTGTGTATGCCCTTGAACCGCTTCTTAGAATACTGATTCCTGATACCAGTCCATAGCAGCATGGGGGATTCCTTGTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12245_12709_3:0:0_1:0:0_e/1 GCCCCCAGTGTTTTTGAATGGAAAATAGCTCACAAAGTTGTTGTGGCGTCATCTCCAGCCTTATCAATGTTCTATGGAATTCACGGATCTTTTGATCCTGTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10110_10593_2:0:0_3:0:0_f/1 CGGATTTTGAAATAAATGAGGAAAGAGATTCCTTGTCATTGACCATGCAGGGGCAAAGTCATTAGTTTTCAGTCAATGCCATAGGTCCATTCCTTTGTGAGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5082_5545_2:0:0_2:0:0_10/1 CTCCTCTAATGGACGGATTACTAAATAGATGTTATCACTATCCCTGAGACGATTCTATAAAACTGGATCTTAGTCAATTATTGCAATTACTTCTCAATCACA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17955_18488_1:1:0_5:0:0_11/1 AAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCATTAAAACATACTGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTAATTAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7196_7578_0:0:0_4:0:2_12/1 TTAGGGTTGCAATTGGGTTGAGCATTGACAATTTCTTCTCTTCGAGTTCTTCTCCCGCCTGTGATCACCTGCGACTGCAGCAATAGTATTGGTCATTAAGCC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6892_7455_3:0:0_2:0:0_13/1 TCGGGGAGATGTCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGTTGTATCAAACGGAGCCAAAAACATCAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10430_10922_1:0:0_1:0:0_14/1 GTTCGAGTTATGATGATTGTATGATTTTGAGTTCCAATTTCAATACTGCTCAACAATCCGTTGTAGTTCACGACATGTAGAGCATCCCATTTGTTAATAAAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13242_13711_2:1:0_2:0:0_15/1 GAAAGAGTTGAATGTAGGTAGAACCTTCGGAAAATTGCGTTATCCGACTCGCAATGTTCAAACACTTTGTGAACCTCTGATAGCTGATGGTCTTGCTAAAGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11689_12287_0:0:0_2:0:0_16/1 CTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTGAAATACGATGTAACTGTTACCAAGTTCTTGAGTGATGTACCAGTGGCGACA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11181_11646_2:0:0_5:0:0_17/1 ACATTGGTCCAATACAATTGGTGAAGATAACCTCGCTTCTGGGTATTGGGTATGTTGTGTAGCCATTTAAAATCAAGAGTAAGAATTTCAACTGCTTCATCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17689_18218_2:0:0_5:0:0_18/1 ATCCCATACTGGCTAAGTGATTTAACTCAGTATGCTGACTGTGAGTTACATTTAAGTTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6823_7340_1:0:0_4:0:0_19/1 CAAGTGGGAAAAGGAGCAATACCACGGGAAAACTCATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9594_10146_2:0:0_2:0:0_1a/1 ATTTATGCACTAAATTTTAAACGGCTAAGTTCAATTAGATATTATTGCCCCTAATACAATGTATGTGATGTGTACAGACCAATTTAGCTTAGAGAGACTTTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14066_14537_3:0:0_2:0:0_1b/1 TGGCGCAGAAATGAAGTTAAGTCTTTCGACCCAGGGACATTTAATCCGCTAGGATTTAGCCCAAAGTCAATGGCAGTGCAGTTCCCAGGGTTCTTCGCAATT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10897_11452_2:0:0_2:0:0_1c/1 TTCGTAATATATAGAATCTGTGAAACGTAACACATGTGACCTGCGGGTTCAGTTACAATTAACCATTTAGTATATAGGATTTCTGGTGATAAAATGCTTATT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16074_16594_4:0:0_1:0:0_1d/1 TATGACCATCACTGTTGTTTGTGCTTGATGCAGTTGAAGAGTCTCTTGCCAAGTATTTTCGGTTGCTGTTTCTGTGTCTGCTCCTCCAGTACGCCAATGATG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12408_12931_0:0:0_2:0:0_1e/1 TTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATTATTAAGTTCCTCGAACCATTGTGCTTGGCCAAAATTCAATTATGCTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14051_14574_0:0:0_1:0:0_1f/1 CATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGCACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_1538_2036_3:0:0_1:0:0_20/1 AATGCAGAGTCTCGCGAACTTGACCATCTTGGACTTGATGATCATGAAAAGAAAATTCTTATTAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14954_15496_1:0:0_2:0:0_21/1 CACCTCCTGAAAACTCACCTAAAGTGTTTGTAGAAACAATCAATCGCGTTGCTGAATTACTCATACGAATGGCCCTGAAAGAATGAGGACTGTATTGATCGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15843_16395_4:0:0_1:0:0_22/1 TGATGAAACATGCACCAGCAGTTCTACGATCTGATAGAGAAAATTATTCACAGGTGTTGGGTTTTGACCCTCTAGCGGATATACTATCCATAAAGGGACAAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_112_638_0:0:0_1:0:0_23/1 TTGTTACTGTAATCACACCTGGTTTGTTTCAGAGCCACATCACAAAGATAGAGAACAACCTAGGTCTCCGAAGGGAGCAAGGGCATCAGTGTGCTCAGTTGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7088_7662_0:0:0_2:0:0_24/1 AATCCCTCGGCTGCTGGCCCGAAATATGGTATCCAGGCCAGTCCGATTGCAGCACCTTCATCCTGAGTAGTCCAGAAATGTAAATTAGGGTTGCATTTGGGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15221_15694_2:0:0_2:0:0_25/1 CATCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACATTGACTTGCTAATAAAACCATTTTTGGAAGCACGAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9871_10361_2:0:0_0:0:0_26/1 AATGCTAAAGTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAACCTTATTATTCAGATTAGGCCCCCAGAGGCATTCTTCATCTCCTTTTAGCAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9314_9818_2:0:1_1:0:0_27/1 ATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCAAGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTAAATAACCTCTCTACTTGATC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6318_6789_0:0:0_1:0:0_28/1 CCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17500_17934_3:0:0_3:0:0_29/1 ACGAATCCAGTGATATGTTTGAGTCCGACTTTGTCGCTGTTGATTATAATCATTCGTTAATTCTCGAATCTCTGCTCTAAGATGTGCTAAGTGCTGAGTGAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_1309_1873_5:0:0_2:1:0_2a/1 TTCGCCGTAGCTTCCATCATCGGTATCAACCACCACATCGGGAATGGTCGTATCCTGTGAGTAAGTCGGATCATCATGTTGATGGCCAGGATTGTCGTCATC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15542_16049_4:0:0_1:0:0_2b/1 ATTATGCCGTTGCACTGTTCGATAAAAAATTTAGAAACACTGAGGCTACAGATATCCAATATAATCGTGCTCAGCTTCATCTAACTAAGTGTTGCACCCGGG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16649_17083_3:0:0_1:0:0_2c/1 CTGCTAGCGTCACAGCCGACTTGAAACTCTCTATTTCCCAACGGACCTCATCAAGTTTGTAATGCATGGACGAGACTATACCGGTAAATCTACAATAAACTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14204_14547_4:1:0_1:0:0_2d/1 GCGTACAATCTGGCGCAGAAATGAAGTTAAGTCTTGCGACCCAGGGACATTTAATCCGCTAGGATTTAGCACAAAGTCAATGGCAGTGCAGTTCGCAGGGTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13818_14306_2:0:0_0:1:0_2e/1 TACTGTTTTATCAGTCTTCCCCTTAGAGACTGACGCATACGCGCAGGAACAGAGCGCCGAAGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5740_6258_4:0:0_3:0:0_2f/1 CACATAGTTTTTGCCCTTATCCTGAAATTGCCTGCCTGCTTACATCTGAGGATAGCCAGTGTGACTTGGATTTGAAATGTGGAGAAAAAATCGGGACCCATT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7037_7561_1:0:0_4:0:0_30/1 ACAACAACTGAAGACCACAAAAACATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCAGTGTCGCATCTAACAACC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13166_13606_1:0:0_3:0:0_31/1 AGAATGTTCTTTCCTACGCACAAAAACTCGAGTATCTACTACCACAATATCGGAACTTTTGTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6612_7154_2:0:0_2:0:0_32/1 GACTTCATCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCCACGGAGGACCCGTCTAGTGGCTACTATTCTACCACAATTAGATATCAGGCTACCGGTTTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13034_13513_2:0:0_1:0:0_33/1 TAAACTCATATCTAAATGCAAGATTGTATTTCTCTAAATCAGTTACAAAGCTACTCCCTCTAACTGTGGCATGTACACCAAAATCATCACTTGTGTGGTGCC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17102_17518_1:0:0_1:0:0_34/1 CCTTACTAATGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15980_16409_2:0:0_4:0:0_35/1 AAAGCCTGTTGTCTTGATTAATCATGCACCAGCAGTTCTCCGATCTTAAAGAGAAAATTATTCACAGGTGTTGGGTTTTGACCCTCTAGCGGATATACTATC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5718_6211_3:0:0_2:0:0_36/1 GACAGTTTGTCACGACAAACTAGTTTGTGGACATCACTAACCTGTAATGTGCTATTGTGGATGACTCCAAGTGGGATGGAAAAAGTTCTTTGGAAAAGGATA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4507_5067_2:0:0_2:0:0_37/1 TTGGAGTGTCATCGGTCCATGTTGCAGCAGGCAGTGGTTGGGTGATCAGTTTGAGTGCTGTCAAATCAAAGGTGAAATACTGGGGTAGTTGGACTTGCGGCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13979_14474_2:0:0_3:0:0_38/1 ATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTAAAAAGGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15468_15909_0:0:0_3:0:1_39/1 TGGTTCTGTAGATGAATTGTTGCTATCTGAAATAATTGATTGCATGATGGTCTTGGCTAGCTCCCATCCAGATAAGTGAGGCAGTCGCATAAGCTCATCTAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17365_17889_2:0:0_1:0:0_3a/1 TAGACAACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAATTGATCTTACACCATATTTATCCTAGCGTATTGAAAGCAGTGGTCCTTAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4529_5011_0:0:0_3:0:0_3b/1 GCTGTCAAATCAAAGGTGAAATACTGGGGTAGTTGGACTGGCGGAAGAACGAACTCCTGGATGAAAGCCTGGTTACCACTTCGCAGGAGCCTGAGGGGATGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9252_9780_0:0:0_2:0:0_3c/1 GTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3703_4201_6:0:0_1:0:0_3d/1 TCCCTCAAAGTGATAGGGAGGCAATCAACAATCTAAACAGTACCACATCACTAACTGAGGAAACTTTTGGGAAACCTGCCATTTCGGCAAAGTATTTGAGAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13584_14067_2:0:0_3:0:0_3e/1 AATTGCATCAGACAATGTTGCCATTCTTGTAGCCGTTTTAAGGGCCTGAGGCAATTGGACCCCATTCACATATTGTTTTTTTCCAAAATAGATAAAACCTGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11303_11748_2:0:0_2:0:0_3f/1 ATCGAATTTCAAACGGTAGATATGTTTCGGGAGTTTACAGTTGCGTAGTTGCGGATTAAGGGAGTCTGATGAATATAACCCGCAAGCTCTAGTGACTAGGTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3848_4203_3:0:0_0:0:0_40/1 CCAATTAGTACAAGTGATTTGTAAATTGGTAAAAGATAGCAACTCATTGGACATCATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACACTCGTCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18346_18839_3:0:0_2:0:0_41/1 AAGGAGTCCCTATATTATATACTATATTTAGCCTCTCTCCCTGCGTGATACTCAAAAAATTCACAATGCAGCATGTGTGACATATTACTGCCGGAATGCATT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3761_4298_3:0:0_1:0:0_42/1 GGAAAATTTTGTGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCGACCAATTAGTACACGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14140_14694_2:0:0_3:1:0_43/1 ATCTTTCCTTGCAGGATAACCGCATCTTTCCATACGTTTTTTTCGGTGAGAATCTTGCAATATCATCATCTCGGGTTCAATAAAGGTTTTGACCTTGGACAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9952_10439_3:0:0_3:0:0_44/1 TCTTCATCTCCTATTAGCAAAGTACTATTTCAGGGTCGTCGAATTAGTGGCACGTCTTTTAGCTGTATATCAGTCGCCCCTGAGATACGCCACAAAAGTGTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16744_17246_1:0:0_4:0:0_45/1 TGGTCATTATGGAATTTTGACATAACAGGTATAAGCATCCTAGGAGAAGTCATTCCTGATACTATTTCTGACTCTATACTTGACTCAGTCGCTAGCGTGTTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3643_4087_2:0:0_0:0:0_46/1 GACCAACACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGTGAGGCATTCAACAATCTAAACAGTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_8369_8867_1:0:0_1:0:0_47/1 TGACAAGGGAAAGAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCGAACCGGTAGAGTTTAGTTGCAACCTAACACACATAAAGCATTGGTCAAAAATT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6226_6670_1:0:0_2:0:0_48/1 TGAGATCAGTTGGACTGAATCTCGAAGGGAATGGAGTGGCAACTGACGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCGCACCAAAGGTGG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7389_7891_0:0:0_3:0:0_49/1 GTCCCCAAAACCACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2456_2976_1:0:0_0:0:0_4a/1 TAAGTTATAAAAGCATAATGTAATTTAATTTAGATAAATCGCTAGTTAGAATATTGAGTTACAATTATGGCTATAACTGTGGCTTAACGCCTATTTGCATTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_8060_8538_1:0:0_2:0:0_4b/1 TGGGCGTCCTCTCTCATATGAAGCATCCATTTAAAAGTTGTCACCACTCACTGTTTAAATTTCTATTGACTTTTTGACCAATGCTTTATGTGTGTTAGGTTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18004_18473_0:0:0_1:0:0_4c/1 AGTGCAGAGTTTATTATGTTGCGTTACATTCATTGCGGCAGTAATATGTCACACATGCTGCATTGTGAATTTTTTGATTATCACGCAGGGAGAGAGGCTAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_913_1414_1:0:0_1:0:0_4d/1 TCAGTTTCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAAATCAAGTACATGCAGAGCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9100_9692_2:0:0_2:0:0_4e/1 GGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCATTTTTGAATCTGCACTATGGCAACAATGGGAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9248_9710_3:0:0_1:0:0_4f/1 TCCATTTAGCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCATATAATGAGGAAGCTTCAACCAACCCGGGGACATGCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18001_18506_2:1:0_1:0:0_50/1 GCCCAGACCTTTCGTTAAAGCTAAATTATAAAGAGTGCAGAGTTTATTATGTTGCGTTAAATTCATTGCGGCAGTAATATGTCACACATGCTGCATTGTGAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2800_3284_1:0:0_1:0:0_51/1 TCCTGGATTGTTCTCAATATCACAGAAGATGTCGCTTCCAGGAATTCTTCCGGTCATTAGCTGCTCAGAGATCCAGCCCGAAAGCTCAGGGCCTGGCATTCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10425_10979_3:0:0_2:0:0_52/1 TAACTTCTTAGTTAGCCAAACTATTCAGGGGTGGACGGTTTATTGGGCTGGTATTGAGTATGATGTGACTCACAAAGGACTGGCCCTATTGCATAGACTGAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12355_12840_3:0:0_1:0:0_53/1 AAAATAATGTTTGGCAATACTATATTTAAAAACACAGTATGTCTCGAAAATCACTATAGGGCGTAATGCTTTTAGCACCGTAGCATGTTTTTTACCTTTTTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16177_16756_2:0:0_4:0:0_54/1 AACCACAAGCAGAGTCACTTAGAAAGGACTGGAACGACGGACCCTGGTGCGTGTTTTCATGTGGAATTTTCGTTCTTTTTATTTCATGGCTCCTTTGTAGGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10689_11116_1:0:0_1:0:0_55/1 AGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAAGACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7751_8212_4:0:0_0:0:0_56/1 TTCCTGAGAGCCACAACTGATCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATATCTTGGTGCAGCGATGGGGCGGCACATGGCACATTCTGGGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12563_13167_0:0:0_2:0:0_57/1 CTCACTAGAAAAGATTTCTTGCTCTAAAAATTGTTCCGGTACACGTTTAGTACTAAATTTGTGAGGTGGATTATATCCTAGAACATTAGGCTCGAATACTGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6554_7043_3:0:0_1:0:0_58/1 AGGAACGACTTTCGCTGAAGGTGTCGATGCATTACTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCATGAGAGAGCCGGTCAATGCAAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16027_16579_2:0:0_4:0:0_59/1 TGTTTGTGCTTGATCCAGATGAAGAGTCTCTTGCCAAGTATTTTCGGTTGCTGTTTCAGTGTCTGCTGCTCCAGTACGCCAATGATGCATGGAAGAAAATGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2878_3350_5:0:0_2:0:0_5a/1 TGCAAATAGGCGTTAAGCCCCAGTTATAGCCATAATTGTAACTCAAAATTCTAACTAGCGATTAATCTCAATTAAATTACATTCTGCTTTTATAACTTACCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13608_14037_4:0:0_0:0:0_5b/1 AGCCGTTTTAAGGGACTGAGGCAATTGGACCCCATTCAAATATTGTTTTTTTCCAAAATAGATAAAACCTGAATGTACAAATGTTTCATCAGGTTTTAAAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11348_11900_4:0:0_2:0:0_5c/1 GTGTACTTAATGATTTCATCTAAGACCTGTTGGCACCGCGGCTCAAGAGGACAGAATCCATTGCCTGACAGTGCCTTGAGAAGAACTGGGACTATGAAATCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_1455_2087_2:0:0_3:0:0_5d/1 GTACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAAGAACTCAGAGAGGCTGCCACTGAGGCTGAGCAGCAACTCCAACAATATGCAGAGTCTCGCGAAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6969_7495_4:0:0_2:0:0_5e/1 AATAGTATTGGTAATTAAGCCTAGGTTCCCGCTGCTGGCACTCTCTTCTCCGGTATCTTGGTGATGAGTGTTGTTGTTGCCAGCGGTCTCGCTGTGTTTTTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4103_4480_6:0:0_6:0:0_5f/1 AAATTTTTAACAATTTTGCTCAACGATTACAAGATGAAGGTTAATGCAAAAACACTCTCACAGCCGAGGTAGGTTTTTCTTAATGTTCATCACTATTGGTTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18236_18768_1:0:0_0:0:0_60/1 CCTGCCTTTTCTTTTAATTTTATCATTCTGTATGAAATAGTAGCTTACTAGACAAAAATGTTAAGGTTATTACACCTAATCTCTTATTTTACACAAAGATTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9854_10419_4:0:0_0:0:0_61/1 GTCGCTTAAGACAACCCCTTTCTCCAGGTCCTTTTTGGGCGATATTAGATTGTATCGTCCCGTAGCTTTAGCCATGGTTTTTTCTCAGGTCTTGCTTGGTGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12604_13104_2:0:0_2:0:0_62/1 AGGTGGATTATATCCTAGACCATTAGGCTCGAATACTTCATCCCAGCATGTCCTTTCTACTGCGGTAGCTCTGTCTTTTATAAAAATACTTAAGTCACTAAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4144_4676_5:0:0_2:0:0_63/1 TGGTGTGTGGCTGGCATGGTCGATGGTGTCATCGGCAATTGTCCTGAGTGGATTCGATGGAGAGTCCCCATTGACTGACTCCGGTGTCAGGAAGCCTGTATT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 ================================================ FILE: tests/input/TestMetagenomicsSimple/zaire_ebola.2.fastq ================================================ @gi|10313991|ref|NC_002549.1|_10362_10852_0:0:0_5:0:0_0/2 ACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGCCAAACTATTCAGGGGTGGAAGGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15762_16228_1:0:1_1:0:0_1/2 ATAACCTGGCCGCATCTGAGAGTCCTCTGTCACCTGCAGCAGCGCCTATGTAAATAGAAAAATGAGGATCAATACTCATTAACCGTGACATAACGCTTGCAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11931_12413_0:0:0_0:0:0_2/2 TGGTAAAGCATAGACACAATCTTAAAATTGGGATAATCAGAACAAACTGGATCCTCAATCTCTGCTATTTTTGAGATTAGAGTTGTGTTGAATCGACATGTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4003_4599_1:0:0_2:0:0_3/2 ACTCCGGTGTCAGGAAGCCTGTAATGCTGTTGCCACCTCTAGCAATTGTTGAATTTGACCTGACAGGGAATATGGCCTCCATATATTCAGGAGGAGCAGTAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14754_15169_1:0:0_0:0:0_4/2 CTCTAAGATCATCAACAATAATACAGAGACACCGGTTTTGGACAGACTGATGAAAATAACATTGCAAAGGTGGAGCCTATGGTTTAGTTATCTTGATCATTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13715_14227_2:0:0_2:0:0_5/2 AACAAACACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGTTGACAATCAGTGCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4686_5203_2:0:0_0:0:0_6/2 TCATCAGCATTCATCCTTGACGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATATGGCTTCCTCTAGGTGTCGCTGATCAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15756_16318_1:0:1_0:0:0_7/2 CAATATCTCATTCGATAATCCATTTTTCCAAGGTAAACGGCTGAACATTATAGAATAGATGATCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTCGCC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10034_10501_2:0:0_2:0:0_8/2 GTTTGTGAGTCACATCAAACTCAATACCAGCCCAATACACCTTCCACCCCTGAATAGTTTGGCTAACTAAGAAGTTACAGAGGTCGCTTAAGACAACCCCTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5357_5868_2:0:0_4:0:0_9/2 CTGTACTTGGATTGTGAACAACCTAGAAATGGGTCCCGATTTTTTCTCCACATTTCCAATGCAAGTCACACTGGCTCTCCTCCGATTTAAGCATGCAGGCAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7324_7712_4:0:0_0:0:0_a/2 TCAACCCACAGATTAAACCATCTTGATTGTGCATTAGCCCCTCTATGTAAATTCCCTCGGCTGCTGGCCCGAAATATGGTATCCAGGCCAGTCCGATTGCAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14867_15301_1:0:0_1:0:0_b/2 TGGCGGAGGCTTTAACCCAACTAACTTGCACAGTTGATTTAGCACAGATTCTGAGGGAATATTCATGGGCTCATATTTTAGAGGGAAGACCTCTTATTGGAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2491_3004_4:0:0_5:1:0_c/2 TCTTGTAAATGTTGGGCAGGCTAGTAGGTAAGTTATAAAAGCCTAATGTAATTTAATTTCGATAAATCGCTAGTTAGAATAATGAGTTACAATTATGGCCAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11709_12286_2:0:0_3:0:0_d/2 CTGTAAACTCCGGAAACATATCTACCGTTTGAAATACGATGTAACTGTTACCAAGTTCTTGCGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12245_12709_3:0:0_1:0:0_e/2 TTCAATGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACAGAACTGTAATCTCAAAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10110_10593_2:0:0_3:0:0_f/2 TAATTGAACTTAGCCGTTTAAAATTTAGTGCATAAATCAGGGCTAACACCACCAGGTCAACTCCATTGGCTGAAACGAAGCTTACCTACAACGAACATCACT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5082_5545_2:0:0_2:0:0_10/2 GCGTTGGGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCACCAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17955_18488_1:1:0_5:0:0_11/2 AGCTTAATTATAAAGAGTTCAGAGTTTATTATGTTGCGTTAAATTCATTGCGGCAGTAAACTGTGACACATGCTGCATTGTGAATTTTTTGAATATCACGCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7196_7578_0:0:0_4:0:2_12/2 AGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGAACAACATCACCGCAGAACAGACAACGACAGCACAGCCTCCGACACT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6892_7455_3:0:0_2:0:0_13/2 CTCTCTTCTCCGGTATCTTGGTGATGAGTGTTGTTGTAGCCAGCGGTCTCGCTGTTGTTTTGGGGACTTGTTGTGGTGGCGGGGTCCAGGAAGTCAGTGCTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10430_10922_1:0:0_1:0:0_14/2 TCTTAGTTAGCCAAACTATTCAGGGGTGGAAGGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGACTGGCCCTATTGCATAGACTGAAAACTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13242_13711_2:1:0_2:0:0_15/2 GTCCTTCAATCCCTCCCATATGACCCCTGTATGAACTAGGCCCTTCGGGGGGGTTGTCTCGATTCTCCAGTGTGAGGTTATGAGTTGGATTATAATAATCAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11689_12287_0:0:0_2:0:0_16/2 ACGTCGGCAGTAGAAACAGACACCATGTGTGTATGCCCTTGAACCGCTTCTTTGAATACTGATGCCTGATACCAGTCCATAGCAGCATGGGGGATTCCTTGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11181_11646_2:0:0_5:0:0_17/2 GATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTATAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTAGACACCCTTACAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17689_18218_2:0:0_5:0:0_18/2 CAATCAAACCTGTAGAGACCATCGGGAAATAAACTCAGAAGCCCTGTCAGCCTATCGATAAGCTTAACTTCAGAAACGTGCCTTCTATGTAAATATAAGGTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6823_7340_1:0:0_4:0:0_19/2 TTTTCTCTGCTTTTGGGGGTCCGGCTGCGGTGGTGGCAGAGGGAGTGACGGAGGCTGTGCAGTCGTTGTCTGTTCTGCGGTGATGTTGTTCAACTTGAGTTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9594_10146_2:0:0_2:0:0_1a/2 TAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTTACTCAACAGGAGGTAGCAACGATCCAACCCATCAAAAAATA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14066_14537_3:0:0_2:0:0_1b/2 TTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGCACTGCTATTGAGCGATCCATCTCTGAGACACGACCTATCTTTCGTTGCAGGATAACCGCAGCTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10897_11452_2:0:0_2:0:0_1c/2 CATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTTGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCATGAAGCCTGGGCCGGCGAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16074_16594_4:0:0_1:0:0_1d/2 AATTCATAATCTACCACATGGGTCATTGCGAATACTTAAGCGAACATTCAAACATGCAAGCGTTATGACACGGTTAATGAGTATTGATCCTCATTTTTCTAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12408_12931_0:0:0_2:0:0_1e/2 ACGGAGGGAATTGATTTCTTTTGATAAAAGAATTAAGACCCGGTGTTAGATTCCTATCTGAAGTAACCCTGTACCAAGATCCTTGACTATCAAAATAATGTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14051_14574_0:0:0_1:0:0_1f/2 GTTTTTCGCACTTAGGGTGAAGGTCCTGCGTACAATCTGGCGCAGAAATGAAGTTAAGTCTTGCGACCCAGGGACATTTAATCCGCTAGGATTTAGCACAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_1538_2036_3:0:0_1:0:0_20/2 GTGTCTGTCTGCCGTCTATATGCTGGCCCTTTTGACTGTTCTTCTGTTGTCCACCCTTGGTCGATCTATTAGGCACTGGCTTAGTGTCCTCGTCGTCCTCGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14954_15496_1:0:0_2:0:0_21/2 GACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGTTTTGGCTGAACCCCTACGAACAATGTCCGCAGTGTTCAAATGCAAAGCAAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15843_16395_4:0:0_1:0:0_22/2 ATGGGAGCTAGCCAAGACCATCATGCAAACAATTATTTCAGATAGCAACAATTCATCTACAGACCCACTTAGCAGTGGAGAAACAAGATCATTCACTAGCGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_112_638_0:0:0_1:0:0_23/2 TGATAAGTTGGCAAATTTCTTCAAGATTGTTTACTTGATACACTGGGATGACTCTTTGGCGAACAATCCCCTGTTGAACGGACAGACCTGCTGTCAAGATCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7088_7662_0:0:0_2:0:0_24/2 GTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCAGTGTCGCATCTAACAACCCTTGCCACAATCTCCACGAGTCCCCAATCCCTCACAACCAAACCAGGTCCG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15221_15694_2:0:0_2:0:0_25/2 TTAAATCTAAATCCAATGTAGATGTGTATGTTAAATACTGAGCAGGTACTTGCCGGGTGCAACACTTAGTTAGATGAAGGTGAGCACGATTATATTGGATAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9871_10361_2:0:0_0:0:0_26/2 CCCGTAGCTTTAGCCATGGTTTTTTCTCAGGTCTTGCTTGGTGTCTGGAGTATCAATATTTTGTTGTCTAGACACTCTCAGTTCAACCTTGAAACCTTGCGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9314_9818_2:0:1_1:0:0_27/2 ATTGATTGTAATATAACAATAGCCAATACCAAACACCTCCTCCACAGCTTTAAGCATAAAGAATTTATGTTCCGTCAGTTTTTCTTAATATTTTAAGAGATC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6318_6789_0:0:0_1:0:0_28/2 GTGGTGTGAATCTTGATTCAAGTTGGACGTAGGTCAAATTGTCAACCTCGAACAAGTACTCTGTCTCATTGGTTCCAAACCCGGTAGCCTGATATCTAATTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17500_17934_3:0:0_3:0:0_29/2 CTAAATGATAATTTAGCCCCGTTTTTAGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGGTAGATCTAGTGAGAGGTATCTTTGTCTGACGAACTTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_1309_1873_5:0:0_2:1:0_2a/2 TAAGTCTGCACTCATCTCCCTGGCCAAGGATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTATGCC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15542_16049_4:0:0_1:0:0_2b/2 TTGTCAAGTGTTAATTTCTTAGTCCGAAGAATTGTATTGCCAAGATAATAACTTACAAAGGCCCCAAAACTGTACAGAAGTCCTATGTTGGGATAAGTTAAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16649_17083_3:0:0_1:0:0_2c/2 ATCTAGTCCTACAAATGAGCCATGAAATAAAAAGAACGACAATTCCACACGAAAACACGCACCAGGGTCCGTCGTTCGCGTCCTTTCTAAGTGACTCTGCTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14204_14547_4:1:0_1:0:0_2d/2 ATCATCTCGTGTTGAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAAGCACTGGATTTCGGAACAATATCATTGGCACTAGCGGTCCCGCAGGTGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13818_14306_2:0:0_0:1:0_2e/2 AGCACCTGCGGGACCGCTAGTGCCAATGATATTGTTCCGAAATCCAGAGGTTTGCCGAGTGTTAACTGTCCAAGGTCAAAACCTTTATTGAACCCGAGATGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5740_6258_4:0:0_3:0:0_2f/2 CATTCCCTTCGAGATTCAGTCCCACTGATCTCAATTGAATTGTGGATGACAGTTTGTCACGACACACTAGTTTGTCGACATCACTAACCTGTAATGTGCTAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7037_7561_1:0:0_4:0:0_30/2 TTGAGCATTGACAAATGCTTCTCTTCGAGTTCTTCTCCCGCCTGTGATCAGTCCTGCGACTCCAGCAATAGTATTGGTAATTAAGCCTCGCTAGCCGCTGCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13166_13606_1:0:0_3:0:0_31/2 CATGCATATAACACTGTGGGATTGTATAATTCATCCAATTAAAAAGATTCTTAACACCATAGCAACGGTTGCACTATTCTATAAAAGGTGCTGTAAACTCAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6612_7154_2:0:0_2:0:0_32/2 TGGAGATTGTGGCAAGGGTTGTTAGATGCGACACTGCAGCTTCCCTTCCATGACTGTGCACTTGAACCATTGCAGAGGCATTTTCTGAAGCCATGATTTTGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13034_13513_2:0:0_1:0:0_33/2 GCGCTACCGCAGTAGAAAGGACATGCTGGGATGCAGTATACGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTTAGTACTAAACGTGTACCGGAAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17102_17518_1:0:0_1:0:0_34/2 GGGCTAAATTATCATTTAGCCATAACATACCCTCAGTATCACTTAGAAAGACTTTAAGGACCACTGCTATCAATACGCTAGGATCAATATGGTGTAAGATCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15980_16409_2:0:0_4:0:0_35/2 GTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACACTTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACTCAAATACATA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_5718_6211_3:0:0_2:0:0_36/2 CAAATGTTAATCTTTCTCATTGCACATACTTTTTGCCCTTATCCTCAACTTGCCTGCATGCTTACATCTGAGGATAGCCAGTGTGACTTTGATTGTAAATGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4507_5067_2:0:0_2:0:0_37/2 CTCCTGAAAATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTAGAGGTGGCAACAGCAATACAGGCTTGCTGACACCGGAGTCAGTCAATG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13979_14474_2:0:0_3:0:0_38/2 AAGTCAATGGCAGTGCAGTTCCCAGGGTTCTTCGCAATTAAAGGTAATAATAACTCATCCATCTCAATCATTCGGAGATAAGTTTTTAACTGGAATCAGCCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_15468_15909_0:0:0_3:0:1_39/2 AAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAGTCTGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_17365_17889_2:0:0_1:0:0_3a/2 ATAATCATTAGTTAATTCTCGAATCTCTGCTCTAAGATGTGCTAAGTGCTGAGTGATAGAGACTCGTGGACCTCTTTTTGAATCGACGAGGTTATACCTGTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4529_5011_0:0:0_3:0:0_3b/2 ATACCCTGTCAGGTCAAATTCAACAATTGCTAGAGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGGGACACTCCATCGAATCCACT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9252_9780_0:0:0_2:0:0_3c/2 CCTCCACAGCTTGAAGCATAAAGAATTTATGTTCCGTCAGTTTTTCTTAATATTTTACGAGATCATTAGTAAGTCATGAAATACTTAATTTTTGATGGGATG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3703_4201_6:0:0_1:0:0_3d/2 GTTGAAGCCTCTGCTATTATTCGCCTCTTTCGGAGGGAAGGGAGATTGGCTCAAATTTTGAGTCCAAGTGTTTTAGCATCTTGAAGCTGAAAAACACATACC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13584_14067_2:0:0_3:0:0_3e/2 AATCCCACAGTGTTATATGCATGTCAGTGATTATTATACTCCACCACATAACCTCACACTGGAGAATCGAGACAACCCCCCCGCAGGGCCTAGTTCATACAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11303_11748_2:0:0_2:0:0_3f/2 TCAAACAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATATGAATAAGCATTTTATCACCAGACATCCTATATACAAAATGGTTAATTGTAACTGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3848_4203_3:0:0_0:0:0_40/2 CAGTTGAAGCCTCTGCTATTATTCGCCTCTTTCGGAGGGAAGGGAGATTGGCTCAAATTTTGAGTCCAAGTGTTTTACCATCTTGAAGCTGAAAAACACATA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18346_18839_3:0:0_2:0:0_41/2 TAATTATCATTAACACGAAGATTATTAACTAGTCTGCTATATTGTAAAGAAGGTATTTCTGATTTTACAGTCCTGCGTTTTCTTTTAATTTTATCATTCTGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3761_4298_3:0:0_1:0:0_42/2 TATGAACAATTTTATCTTGGTCGTTTAATTGACTTATAATATCCAGGGCTGATACTCACAAGTGTATCATTAATGTAACGTACCCTATAGTTCAGCAGTTGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_14140_14694_2:0:0_3:1:0_43/2 CGTGCGTGAAAAGAAATCGGCCGCAAAACGACTCATAACAGGAGTTGATGATAATCTCCATTTACAAACCATTTCGTCTTCGAAGTCAGCTGACGCATCAAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9952_10439_3:0:0_3:0:0_44/2 CTAACTAAGAAGTTACCGAGGTCGCTTAAGACAACCCCTTTCTCCAGGTCCTTTTTGGGCGATATTAGATTGTATGGTCCCGTAGCTTTATCCATGGTTTTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16744_17246_1:0:0_4:0:0_45/2 TCTGCTTGTGGTACAGCAAATCCAAAACTAAATTTCGATCGATCGAGACACAATGTGAAATTTCAGGATCATAACTCTGCATCCAAGAGGGAAGGTCATCAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_3643_4087_2:0:0_0:0:0_46/2 ATCTTGGGCGATGGTGGGACTGGACGCAAGCTTTTCTGGCAAGCTCGGGGAATGTCACCTCGAGAGCGGATGTGGATGACAGGTGGAGCAGCATCTTGGAAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_8369_8867_1:0:0_1:0:0_47/2 GCAGTTATAATTAATTGTTGTTCTACTGATCCACAAGTCTTACGGGCGATTAGTAGGAGTAATTCCCTATCAGTTAAACTCTCCAACTGGTGATCTTTTTTG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6226_6670_1:0:0_2:0:0_48/2 CTAGACGGGTCCTCCGTTGCATTGACCGGCTCTCTCAAGGGGTGTGAGCTGAAGAAGTCCTTCATAGCTTGGGTCAGTATCAGAAATGCAACGACACCTTCA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7389_7891_0:0:0_3:0:0_49/2 GTTCTTGGTCCAATCATGTGGTTCTATACAGCAGTCCGGTCCCAGAATGTGGCATGTGCCTCCCCCTCGCTGCAGCAAGAAATCAATTGCCTTACGGTTGAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2456_2976_1:0:0_0:0:0_4a/2 GATGCTGTTTTGTATTATCATATGATGCAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGCAAAGAGTACACGTATCCAGACTCCCTTGAAGAGGAATAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_8060_8538_1:0:0_2:0:0_4b/2 GTCTTTTAGTTTTTCTTCAGATTGCTTCATGGAAAAGCTCAGCCTCAAATCAATGACACCAGGATTTAATTATATGGATTACTTGAATCTAAGATTACTTGA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18004_18473_0:0:0_1:0:0_4c/2 AAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTACCATATTAGAGATTGCAATTGTGAAGAACGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_913_1414_1:0:0_1:0:0_4d/2 TTGAGGGAAAAGACCATGCTCAAGATTATTTACTCCAGAAAGGTTGAAAAGTCGGGCGAAAGGAGCATACTCTCCATGCTTGGCCAGGGAGCTGAGTGCAGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9100_9692_2:0:0_2:0:0_4e/2 TTTTTGATGGGATGGATCGTTGCTACCTCCTGTAGAGTAAAACATTATTTTTGTACAAGAATCACTTTGTGCAAGAGGTATGCTTGGCAGGTTATATTACTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9248_9710_3:0:0_1:0:0_4f/2 AAGTCATGAAATACTTATTTTTTGATGGGATGGATCGTTGCTACCTCCTGTAGAGTAAAACCTTATTTGTGTACAAGAATCACTTTGTGCAAGAGGTATGCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18001_18506_2:1:0_1:0:0_50/2 TTAAAACATAATGGGACATGGCCAGCTGAGTTTAAGAAATTACCAGAGTTAATTAGTGTGTGCAATAGGTTCTACCATATTAGATATTGCAATTGTGAAGAA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2800_3284_1:0:0_1:0:0_51/2 TAAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATTCAAATAGGCGTTAAGCCACAGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10425_10979_3:0:0_2:0:0_52/2 ATGCGGTTCATTGCCGATTTGTCGGGTTCTTGGAGCTCCACCCGAAAACCCATGTTAGTTCGAGTTATGATGATTGTATGATTTTGAGTTGCAATTTCAATA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12355_12840_3:0:0_1:0:0_53/2 ATTGAGGATCCAGTTTGTTCTGATTATCCCAATTTTAAGATTTTGTCTATGCTTTACCAGAGCGGAGATTACATACTCTCCCTATTAGGGTCTGATGGGTAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16177_16756_2:0:0_4:0:0_54/2 TACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCGAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAAGCATGGATA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_10689_11116_1:0:0_1:0:0_55/2 AAGTATTCTACCTTAGTTAGCTAGCAAGAGAGCTATTAAATTCAAGAATCAAACTTTGCATTCGTGTCGAGGATCCTTGTGTAAATGCTTTCAGTGTGGACT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_7751_8212_4:0:0_0:0:0_56/2 TAGAATCACATTGGCTATGTTTAAAGCTCCAGTGTATTATATTATCATTTGTCAAGTAATCTTAGATTCAAGTAATCCATATAATTAAATCCTGGTTTCATT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12563_13167_0:0:0_2:0:0_57/2 ATCACACCCTAGAAGAAATTACAGAAATGCGTGCACTAAAGCCTTCACAGGCTCAAAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6554_7043_3:0:0_1:0:0_58/2 TTGTTGTGTTGGTCCCTGGGTCGGAAGAAGTTCGCGCCGGACTCTGACCACTGATGTTTTTGGCTCCGTTAGATACAACTGTGAAAGACAACTCTTCACTGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_16027_16579_2:0:0_4:0:0_59/2 ACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACAACTCAAATTCATAATCTAGCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACAT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_2878_3350_5:0:0_2:0:0_5a/2 TTGGGTTTGACTGTTGCGCGTCTTCGGGTTTGGCTTCGTTTGTTGCATTTGGGATGCGTAGCATAATCCTGGATTGTTGTCAATATCACAGAAGCTGTCGCT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_13608_14037_4:0:0_0:0:0_5b/2 CAGTGATTATTATAATCCACCACATAACCTCACACTGGAGAATCGAGACAAGCCCCCCGACGGTCCTAGTTCATCCAGGGGTCATATGGGAGGGATTGAAGG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_11348_11900_4:0:0_2:0:0_5c/2 ATGAATAAGCATTTTATCACCAGAACACCTATATACTCAATGGTTAATTGTAACTGAACCCGCAGGTCACATGTGTTAGGTTTCACAGATACTATATATTAC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_1455_2087_2:0:0_3:0:0_5d/2 CGTGGTGGATTGTTCTGTTAGGTCCTGGGACATTTTGAATTGGCCTGGATTGTGTCTGTCTGCCGTCTATATGCTGGCCCTTTTGACTGTTCTTCTGTTGTC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_6969_7495_4:0:0_2:0:0_5e/2 TATCAAACGGAGCCAAAAAGATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGTGACCAACCCAACAACTGAAGACCACAAAATCATGTCTTCAG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4103_4480_6:0:0_6:0:0_5f/2 ATGAGTTTTTCAGCTTGAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCCCTTCCGTCGGAACGAGGCGAATAATAGGAGAGGCTTCAACTGC + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_18236_18768_1:0:0_0:0:0_60/2 TCCTGATACTTGCAAAGGTTGGTTATTAACCTACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATATTGATCTAATCTCAATAAACAACTATTTA + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_9854_10419_4:0:0_0:0:0_61/2 GGTAGATTGTGACCGGAAATGCTAAACTAATGATGAAGATTAATGCGGAGGACAGAAAAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTGTT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_12604_13104_2:0:0_2:0:0_62/2 CCTTCACAGGCTCAAAAGATCCGTGAATTCCATAGAACATTGATAATGCTGGAGATGACGGCACAACAACTTTGTGAGCTATTTTCCATTCAAAAACACTGG + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 @gi|10313991|ref|NC_002549.1|_4144_4676_5:0:0_2:0:0_63/2 AAATTTGAGCCAATCTCCCTTCCCTCCGAAAGAGGCGAATAATAGCAGAGTCTTCAACTGCTGAACAATAGGGTACGTTCCATTACTGATACACTTGTGCGT + 222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/Viruses/Enterovirus_C/GCF_000861165.1_ViralProj15288_genomic.fna ================================================ >NC_002058.3 Poliovirus, complete genome TTAAAACAGCTCTGGGGTTGTACCCACCCCAGAGGCCCACGTGGCGGCTAGTACTCCGGTATTGCGGTACCCTTGTACGC CTGTTTTATACTCCCTTCCCGTAACTTAGACGCACAAAACCAAGTTCAATAGAAGGGGGTACAAACCAGTACCACCACGA ACAAGCACTTCTGTTTCCCCGGTGATGTCGTATAGACTGCTTGCGTGGTTGAAAGCGACGGATCCGTTATCCGCTTATGT ACTTCGAGAAGCCCAGTACCACCTCGGAATCTTCGATGCGTTGCGCTCAGCACTCAACCCCAGAGTGTAGCTTAGGCTGA TGAGTCTGGACATCCCTCACCGGTGACGGTGGTCCAGGCTGCGTTGGCGGCCTACCTATGGCTAACGCCATGGGACGCTA GTTGTGAACAAGGTGTGAAGAGCCTATTGAGCTACATAAGAATCCTCCGGCCCCTGAATGCGGCTAATCCCAACCTCGGA GCAGGTGGTCACAAACCAGTGATTGGCCTGTCGTAACGCGCAAGTCCGTGGCGGAACCGACTACTTTGGGTGTCCGTGTT TCCTTTTATTTTATTGTGGCTGCTTATGGTGACAATCACAGATTGTTATCATAAAGCGAATTGGATTGGCCATCCGGTGA AAGTGAGACTCATTATCTATCTGTTTGCTGGATCCGCTCCATTGAGTGTGTTTACTCTAAGTACAATTTCAACAGTTATT TCAATCAGACAATTGTATCATAATGGGTGCTCAGGTTTCATCACAGAAAGTGGGCGCACATGAAAACTCAAATAGAGCGT ATGGTGGTTCTACCATTAATTACACCACCATTAATTATTATAGAGATTCAGCTAGTAACGCGGCTTCGAAACAGGACTTC TCTCAAGACCCTTCCAAGTTCACCGAGCCCATCAAGGATGTCCTGATAAAAACAGCCCCAATGCTAAACTCGCCAAACAT AGAGGCTTGCGGGTATAGCGATAGAGTACTGCAATTAACACTGGGAAACTCCACTATAACCACACAGGAGGCGGCTAATT CAGTAGTCGCTTATGGGCGTTGGCCTGAATATCTGAGGGACAGCGAAGCCAATCCAGTGGACCAGCCGACAGAACCAGAC GTCGCTGCATGCAGGTTTTATACGCTAGACACCGTGTCTTGGACGAAAGAGTCGCGAGGGTGGTGGTGGAAGTTGCCTGA TGCACTGAGGGACATGGGACTCTTTGGGCAAAATATGTACTACCACTACCTAGGTAGGTCCGGGTACACCGTGCATGTAC AGTGTAACGCCTCCAAATTCCACCAGGGGGCACTAGGGGTATTCGCCGTACCAGAGATGTGTCTGGCCGGGGATAGCAAC ACCACTACCATGCACACCAGCTATCAAAATGCCAATCCTGGCGAGAAAGGAGGCACTTTCACGGGTACGTTCACTCCTGA CAACAACCAGACATCACCTGCCCGCAGGTTCTGCCCGGTGGATTACCTCCTTGGAAATGGCACGTTGTTGGGGAATGCCT TTGTGTTCCCGCACCAGATAATAAACCTACGGACCAACAACTGTGCTACACTGGTACTCCCTTACGTGAACTCCCTCTCG ATAGATAGTATGGTAAAGCACAATAATTGGGGAATTGCAATATTACCATTGGCCCCATTAAATTTTGCTAGTGAGTCCTC CCCAGAGATTCCAATCACCTTGACCATAGCCCCTATGTGCTGTGAGTTCAATGGATTAAGAAACATCACCCTGCCACGCT TACAGGGCCTGCCGGTCATGAACACCCCTGGTAGCAATCAATATCTTACTGCAGACAACTTCCAGTCACCGTGTGCGCTG CCTGAATTTGATGTGACCCCACCTATTGACATACCCGGTGAAGTAAAGAACATGATGGAATTGGCAGAAATCGACACCAT GATTCCCTTTGACTTAAGTGCCACAAAAAAGAACACCATGGAAATGTATAGGGTTCGGTTAAGTGACAAACCACATACAG ACGATCCCATACTCTGCCTGTCACTCTCTCCAGCTTCAGATCCTAGGTTGTCACATACTATGCTTGGAGAAATCCTAAAT TACTACACACACTGGGCAGGATCCCTGAAGTTCACGTTTCTGTTCTGTGGATTCATGATGGCAACTGGCAAACTGTTGGT GTCATACGCGCCTCCTGGAGCCGACCCACCAAAGAAGCGTAAGGAGGCGATGTTGGGAACACATGTGATCTGGGACATAG GACTGCAGTCCTCATGTACTATGGTAGTGCCATGGATTAGCAACACCACGTATCGGCAAACCATAGATGATAGTTTCACC GAAGGCGGATACATCAGCGTCTTCTACCAAACTAGAATAGTCGTCCCTCTTTCGACACCCAGAGAGATGGACATCCTTGG TTTTGTGTCAGCGTGTAATGACTTCAGCGTGCGCTTGTTGCGAGATACCACACATATAGAGCAAAAAGCGCTAGCACAGG GGTTAGGTCAGATGCTTGAAAGCATGATTGACAACACAGTCCGTGAAACGGTGGGGGCGGCAACATCTAGAGACGCTCTC CCAAACACTGAAGCCAGTGGACCAACACACTCCAAGGAAATTCCGGCACTCACCGCAGTGGAAACTGGGGCCACAAATCC ACTAGTCCCTTCTGATACAGTGCAAACCAGACATGTTGTACAACATAGGTCAAGGTCAGAGTCTAGCATAGAGTCTTTCT TCGCGCGGGGTGCATGCGTGACCATTATGACCGTGGATAACCCAGCTTCCACCACGAATAAGGATAAGCTATTTGCAGTG TGGAAGATCACTTATAAAGATACTGTCCAGTTACGGAGGAAATTGGAGTTCTTCACCTATTCTAGATTTGATATGGAACT TACCTTTGTGGTTACTGCAAATTTCACTGAGACTAACAATGGGCATGCCTTAAATCAAGTGTACCAAATTATGTACGTAC CACCAGGCGCTCCAGTGCCCGAGAAATGGGACGACTACACATGGCAAACCTCATCAAATCCATCAATCTTTTACACCTAC GGAACAGCTCCAGCCCGGATCTCGGTACCGTATGTTGGTATTTCGAACGCCTATTCACACTTTTACGACGGTTTTTCCAA AGTACCACTGAAGGACCAGTCGGCAGCACTAGGTGACTCCCTTTATGGTGCAGCATCTCTAAATGACTTCGGTATTTTGG CTGTTAGAGTAGTCAATGATCACAACCCGACCAAGGTCACCTCCAAAATCAGAGTGTATCTAAAACCCAAACACATCAGA GTCTGGTGCCCGCGTCCACCGAGGGCAGTGGCGTACTACGGCCCTGGAGTGGATTACAAGGATGGTACGCTTACACCCCT CTCCACCAAGGATCTGACCACATATGGATTCGGACACCAAAACAAAGCGGTGTACACTGCAGGTTACAAAATTTGCAACT ACCACTTGGCCACTCAGGATGATTTGCAAAACGCAGTGAACGTCATGTGGAGTAGAGACCTCTTAGTCACAGAATCAAGA GCCCAGGGCACCGATTCAATCGCAAGGTGCAATTGCAACGCAGGGGTGTACTACTGCGAGTCTAGAAGGAAATACTACCC AGTATCCTTCGTTGGCCCAACGTTCCAGTACATGGAGGCTAATAACTATTACCCAGCTAGGTACCAGTCCCATATGCTCA TTGGCCATGGATTCGCATCTCCAGGGGATTGTGGTGGCATACTCAGATGTCACCACGGGGTGATAGGGATCATTACTGCT GGTGGCGAAGGGTTGGTTGCATTTTCAGACATTAGAGACTTGTATGCCTACGAAGAAGAAGCCATGGAACAAGGCATCAC CAATTACATAGAGTCACTTGGGGCCGCATTTGGAAGTGGATTTACTCAGCAGATTAGCGACAAAATAACAGAGTTGACCA ATATGGTGACCAGTACCATCACTGAAAAGCTACTTAAGAACTTGATCAAGATCATATCCTCACTAGTTATTATAACTAGG AACTATGAAGACACCACAACAGTGCTCGCTACCCTGGCCCTTCTTGGGTGTGATGCTTCACCATGGCAGTGGCTTAGAAA GAAAGCATGCGATGTTCTGGAGATACCTTATGTCATCAAGCAAGGTGACAGTTGGTTGAAGAAGTTTACTGAAGCATGCA ACGCAGCTAAGGGACTGGAGTGGGTGTCAAACAAAATCTCAAAATTCATTGATTGGCTCAAGGAGAAAATTATCCCACAA GCTAGAGATAAGTTGGAATTTGTAACAAAACTTAGACAACTAGAAATGCTGGAAAACCAAATCTCAACTATACACCAATC ATGCCCTAGTCAGGAACACCAGGAAATTCTATTCAATAATGTCAGATGGTTATCCATCCAGTCTAAGAGGTTTGCCCCTC TTTACGCAGTGGAAGCCAAAAGAATACAGAAACTAGAGCATACTATTAACAACTACATACAGTTCAAGAGCAAACACCGT ATTGAACCAGTATGTTTGCTAGTACATGGCAGCCCCGGAACAGGTAAATCTGTAGCAACCAACCTGATTGCTAGAGCCAT AGCTGAAAGAGAAAACACGTCCACGTACTCGCTACCCCCGGATCCATCACACTTCGACGGATACAAACAACAGGGAGTGG TGATTATGGACGACCTGAATCAAAACCCAGATGGTGCGGACATGAAGCTGTTCTGTCAGATGGTATCAACAGTGGAGTTT ATACCACCCATGGCATCCCTGGAGGAGAAAGGAATCCTGTTTACTTCAAATTACGTTCTAGCATCCACAAACTCAAGCAG AATTTCCCCCCCCACTGTGGCACACAGTGATGCATTAGCCAGGCGCTTTGCGTTCGACATGGACATTCAGGTCATGAATG AGTATTCTAGAGATGGGAAATTGAACATGGCCATGGCTACTGAAATGTGTAAGAACTGTCACCAACCAGCAAACTTTAAG AGATGCTGTCCTTTAGTGTGTGGTAAGGCAATTCAATTAATGGACAAATCTTCCAGAGTTAGATACAGTATTGACCAGAT CACTACAATGATTATCAATGAGAGAAACAGAAGATCCAACATTGGCAATTGTATGGAGGCTTTGTTTCAAGGACCACTCC AGTATAAAGACTTGAAAATTGACATCAAGACGAGTCCCCCTCCTGAATGTATCAATGACTTGCTCCAAGCAGTTGACTCC CAGGAGGTGAGAGATTACTGTGAGAAGAAGGGTTGGATAGTCAACATCACCAGCCAGGTTCAAACAGAAAGGAACATCAA CAGGGCAATGACAATTCTACAAGCGGTGACAACCTTCGCCGCAGTGGCTGGAGTTGTCTATGTCATGTATAAACTGTTTG CTGGACACCAGGGAGCATACACTGGTTTACCAAACAAAAAACCCAACGTGCCCACCATTCGGACAGCAAAGGTACAAGGA CCAGGGTTCGATTACGCAGTGGCTATGGCTAAAAGAAACATTGTTACAGCAACTACTAGCAAGGGAGAGTTCACTATGTT AGGAGTCCACGACAACGTGGCTATTTTACCAACCCACGCTTCACCTGGTGAAAGCATTGTGATCGATGGCAAAGAAGTGG AGATCTTGGATGCCAAAGCGCTCGAAGATCAAGCAGGAACCAATCTTGAAATCACTATAATCACTCTAAAGAGAAATGAA AAGTTCAGAGACATTAGACCACATATACCTACTCAAATCACTGAGACAAATGATGGAGTCTTGATCGTGAACACTAGCAA GTACCCCAATATGTATGTTCCTGTCGGTGCTGTGACTGAACAGGGATATCTAAATCTCGGTGGGCGCCAAACTGCTCGTA CTCTAATGTACAACTTTCCAACCAGAGCAGGACAGTGTGGTGGAGTCATCACATGTACTGGGAAAGTCATCGGGATGCAT GTTGGTGGGAACGGTTCACACGGGTTTGCAGCGGCCCTGAAGCGATCATACTTCACTCAGAGTCAAGGTGAAATCCAGTG GATGAGACCTTCGAAGGAAGTGGGATATCCAATCATAAATGCCCCGTCCAAAACCAAGCTTGAACCCAGTGCTTTCCACT ATGTGTTTGAAGGGGTGAAGGAACCAGCAGTCCTCACTAAAAACGATCCCAGGCTTAAGACAGACTTTGAGGAGGCAATT TTCTCCAAGTACGTGGGTAACAAAATTACTGAAGTGGATGAGTACATGAAAGAGGCAGTAGACCACTATGCTGGCCAGCT CATGTCACTAGACATCAACACAGAACAAATGTGCTTGGAGGATGCCATGTATGGCACTGATGGTCTAGAAGCACTTGATT TGTCCACCAGTGCTGGCTACCCTTATGTAGCAATGGGAAAGAAGAAGAGAGACATCTTGAACAAACAAACCAGAGACACT AAGGAAATGCAAAAACTGCTCGACACATATGGAATCAACCTCCCACTGGTGACTTATGTAAAGGATGAACTTAGATCCAA AACAAAGGTTGAGCAGGGGAAATCCAGATTAATTGAAGCTTCTAGTTTGAATGACTCAGTGGCAATGAGAATGGCTTTTG GGAACCTATATGCTGCTTTTCACAAAAACCCAGGAGTGATAACAGGTTCAGCAGTGGGGTGCGATCCAGATTTGTTTTGG AGCAAAATTCCGGTATTGATGGAAGAGAAGCTGTTTGCTTTTGACTACACAGGGTATGATGCATCTCTCAGCCCTGCTTG GTTCGAGGCACTAAAGATGGTGCTTGAGAAAATCGGATTCGGAGACAGAGTTGACTACATCGACTACCTAAACCACTCAC ACCACCTGTACAAGAATAAAACATACTGTGTCAAGGGCGGTATGCCATCTGGCTGCTCAGGCACTTCAATTTTTAACTCA ATGATTAACAACTTGATTATCAGGACACTCTTACTGAAAACCTACAAGGGCATAGATTTAGACCACCTAAAAATGATTGC CTATGGTGATGATGTAATTGCTTCCTACCCCCATGAAGTTGACGCTAGTCTCCTAGCCCAATCAGGAAAAGACTATGGAC TAACTATGACTCCAGCTGACAAATCAGCTACATTTGAAACAGTCACATGGGAGAATGTAACATTCTTGAAGAGATTCTTC AGGGCAGACGAGAAATACCCATTTCTTATTCATCCAGTAATGCCAATGAAGGAAATTCATGAATCAATTAGATGGACTAA AGATCCTAGGAACACTCAGGATCACGTTCGCTCTCTGTGCCTTTTAGCTTGGCACAATGGCGAAGAAGAATATAACAAAT TCCTAGCTAAAATCAGGAGTGTGCCAATTGGAAGAGCTTTATTGCTCCCAGAGTACTCAACATTGTACCGCCGTTGGCTT GACTCATTTTAGTAACCCTACCTCAGTCGAATTGGATTGGGTCATACTGTTGTAGGGGTAAATTTTTCTTTAATTCGGAG ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/Viruses/Enterovirus_C/GCF_000861165.1_ViralProj15288_protein.faa ================================================ >NP_041277.1 genome polyprotein [Enterovirus C] MGAQVSSQKVGAHENSNRAYGGSTINYTTINYYRDSASNAASKQDFSQDPSKFTEPIKDVLIKTAPMLNSPNIEACGYSD RVLQLTLGNSTITTQEAANSVVAYGRWPEYLRDSEANPVDQPTEPDVAACRFYTLDTVSWTKESRGWWWKLPDALRDMGL FGQNMYYHYLGRSGYTVHVQCNASKFHQGALGVFAVPEMCLAGDSNTTTMHTSYQNANPGEKGGTFTGTFTPDNNQTSPA RRFCPVDYLLGNGTLLGNAFVFPHQIINLRTNNCATLVLPYVNSLSIDSMVKHNNWGIAILPLAPLNFASESSPEIPITL TIAPMCCEFNGLRNITLPRLQGLPVMNTPGSNQYLTADNFQSPCALPEFDVTPPIDIPGEVKNMMELAEIDTMIPFDLSA TKKNTMEMYRVRLSDKPHTDDPILCLSLSPASDPRLSHTMLGEILNYYTHWAGSLKFTFLFCGFMMATGKLLVSYAPPGA DPPKKRKEAMLGTHVIWDIGLQSSCTMVVPWISNTTYRQTIDDSFTEGGYISVFYQTRIVVPLSTPREMDILGFVSACND FSVRLLRDTTHIEQKALAQGLGQMLESMIDNTVRETVGAATSRDALPNTEASGPTHSKEIPALTAVETGATNPLVPSDTV QTRHVVQHRSRSESSIESFFARGACVTIMTVDNPASTTNKDKLFAVWKITYKDTVQLRRKLEFFTYSRFDMELTFVVTAN FTETNNGHALNQVYQIMYVPPGAPVPEKWDDYTWQTSSNPSIFYTYGTAPARISVPYVGISNAYSHFYDGFSKVPLKDQS AALGDSLYGAASLNDFGILAVRVVNDHNPTKVTSKIRVYLKPKHIRVWCPRPPRAVAYYGPGVDYKDGTLTPLSTKDLTT YGFGHQNKAVYTAGYKICNYHLATQDDLQNAVNVMWSRDLLVTESRAQGTDSIARCNCNAGVYYCESRRKYYPVSFVGPT FQYMEANNYYPARYQSHMLIGHGFASPGDCGGILRCHHGVIGIITAGGEGLVAFSDIRDLYAYEEEAMEQGITNYIESLG AAFGSGFTQQISDKITELTNMVTSTITEKLLKNLIKIISSLVIITRNYEDTTTVLATLALLGCDASPWQWLRKKACDVLE IPYVIKQGDSWLKKFTEACNAAKGLEWVSNKISKFIDWLKEKIIPQARDKLEFVTKLRQLEMLENQISTIHQSCPSQEHQ EILFNNVRWLSIQSKRFAPLYAVEAKRIQKLEHTINNYIQFKSKHRIEPVCLLVHGSPGTGKSVATNLIARAIAERENTS TYSLPPDPSHFDGYKQQGVVIMDDLNQNPDGADMKLFCQMVSTVEFIPPMASLEEKGILFTSNYVLASTNSSRISPPTVA HSDALARRFAFDMDIQVMNEYSRDGKLNMAMATEMCKNCHQPANFKRCCPLVCGKAIQLMDKSSRVRYSIDQITTMIINE RNRRSNIGNCMEALFQGPLQYKDLKIDIKTSPPPECINDLLQAVDSQEVRDYCEKKGWIVNITSQVQTERNINRAMTILQ AVTTFAAVAGVVYVMYKLFAGHQGAYTGLPNKKPNVPTIRTAKVQGPGFDYAVAMAKRNIVTATTSKGEFTMLGVHDNVA ILPTHASPGESIVIDGKEVEILDAKALEDQAGTNLEITIITLKRNEKFRDIRPHIPTQITETNDGVLIVNTSKYPNMYVP VGAVTEQGYLNLGGRQTARTLMYNFPTRAGQCGGVITCTGKVIGMHVGGNGSHGFAAALKRSYFTQSQGEIQWMRPSKEV GYPIINAPSKTKLEPSAFHYVFEGVKEPAVLTKNDPRLKTDFEEAIFSKYVGNKITEVDEYMKEAVDHYAGQLMSLDINT EQMCLEDAMYGTDGLEALDLSTSAGYPYVAMGKKKRDILNKQTRDTKEMQKLLDTYGINLPLVTYVKDELRSKTKVEQGK SRLIEASSLNDSVAMRMAFGNLYAAFHKNPGVITGSAVGCDPDLFWSKIPVLMEEKLFAFDYTGYDASLSPAWFEALKMV LEKIGFGDRVDYIDYLNHSHHLYKNKTYCVKGGMPSGCSGTSIFNSMINNLIIRTLLLKTYKGIDLDHLKMIAYGDDVIA SYPHEVDASLLAQSGKDYGLTMTPADKSATFETVTWENVTFLKRFFRADEKYPFLIHPVMPMKEIHESIRWTKDPRNTQD HVRSLCLLAWHNGEEEYNKFLAKIRSVPIGRALLLPEYSTLYRRWLDSF ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/Viruses/Hepatitis_C_virus/GCF_000861845.1_ViralProj15432_genomic.fna ================================================ >NC_004102.1 Hepatitis C virus genotype 1, complete genome GCCAGCCCCCTGATGGGGGCGACACTCCACCATGAATCACTCCCCTGTGAGGAACTACTGTCTTCACGCAGAAAGCGTCT AGCCATGGCGTTAGTATGAGTGTCGTGCAGCCTCCAGGACCCCCCCTCCCGGGAGAGCCATAGTGGTCTGCGGAACCGGT GAGTACACCGGAATTGCCAGGACGACCGGGTCCTTTCTTGGATAAACCCGCTCAATGCCTGGAGATTTGGGCGTGCCCCC GCAAGACTGCTAGCCGAGTAGTGTTGGGTCGCGAAAGGCCTTGTGGTACTGCCTGATAGGGTGCTTGCGAGTGCCCCGGG AGGTCTCGTAGACCGTGCACCATGAGCACGAATCCTAAACCTCAAAGAAAAACCAAACGTAACACCAACCGTCGCCCACA GGACGTCAAGTTCCCGGGTGGCGGTCAGATCGTTGGTGGAGTTTACTTGTTGCCGCGCAGGGGCCCTAGATTGGGTGTGC GCGCGACGAGGAAGACTTCCGAGCGGTCGCAACCTCGAGGTAGACGTCAGCCTATCCCCAAGGCACGTCGGCCCGAGGGC AGGACCTGGGCTCAGCCCGGGTACCCTTGGCCCCTCTATGGCAATGAGGGTTGCGGGTGGGCGGGATGGCTCCTGTCTCC CCGTGGCTCTCGGCCTAGCTGGGGCCCCACAGACCCCCGGCGTAGGTCGCGCAATTTGGGTAAGGTCATCGATACCCTTA CGTGCGGCTTCGCCGACCTCATGGGGTACATACCGCTCGTCGGCGCCCCTCTTGGAGGCGCTGCCAGGGCCCTGGCGCAT GGCGTCCGGGTTCTGGAAGACGGCGTGAACTATGCAACAGGGAACCTTCCTGGTTGCTCTTTCTCTATCTTCCTTCTGGC CCTGCTCTCTTGCCTGACTGTGCCCGCTTCAGCCTACCAAGTGCGCAATTCCTCGGGGCTTTACCATGTCACCAATGATT GCCCTAACTCGAGTATTGTGTACGAGGCGGCCGATGCCATCCTGCACACTCCGGGGTGTGTCCCTTGCGTTCGCGAGGGT AACGCCTCGAGGTGTTGGGTGGCGGTGACCCCCACGGTGGCCACCAGGGACGGCAAACTCCCCACAACGCAGCTTCGACG TCATATCGATCTGCTTGTCGGGAGCGCCACCCTCTGCTCGGCCCTCTACGTGGGGGACCTGTGCGGGTCTGTCTTTCTTG TTGGTCAACTGTTTACCTTCTCTCCCAGGCGCCACTGGACGACGCAAGACTGCAATTGTTCTATCTATCCCGGCCATATA ACGGGTCATCGCATGGCATGGGATATGATGATGAACTGGTCCCCTACGGCAGCGTTGGTGGTAGCTCAGCTGCTCCGGAT CCCACAAGCCATCATGGACATGATCGCTGGTGCTCACTGGGGAGTCCTGGCGGGCATAGCGTATTTCTCCATGGTGGGGA ACTGGGCGAAGGTCCTGGTAGTGCTGCTGCTATTTGCCGGCGTCGACGCGGAAACCCACGTCACCGGGGGAAGTGCCGGC CGCACCACGGCTGGGCTTGTTGGTCTCCTTACACCAGGCGCCAAGCAGAACATCCAACTGATCAACACCAACGGCAGTTG GCACATCAATAGCACGGCCTTGAACTGCAATGAAAGCCTTAACACCGGCTGGTTAGCAGGGCTCTTCTATCAGCACAAAT TCAACTCTTCAGGCTGTCCTGAGAGGTTGGCCAGCTGCCGACGCCTTACCGATTTTGCCCAGGGCTGGGGTCCTATCAGT TATGCCAACGGAAGCGGCCTCGACGAACGCCCCTACTGCTGGCACTACCCTCCAAGACCTTGTGGCATTGTGCCCGCAAA GAGCGTGTGTGGCCCGGTATATTGCTTCACTCCCAGCCCCGTGGTGGTGGGAACGACCGACAGGTCGGGCGCGCCTACCT ACAGCTGGGGTGCAAATGATACGGATGTCTTCGTCCTTAACAACACCAGGCCACCGCTGGGCAATTGGTTCGGTTGTACC TGGATGAACTCAACTGGATTCACCAAAGTGTGCGGAGCGCCCCCTTGTGTCATCGGAGGGGTGGGCAACAACACCTTGCT CTGCCCCACTGATTGTTTCCGCAAGCATCCGGAAGCCACATACTCTCGGTGCGGCTCCGGTCCCTGGATTACACCCAGGT GCATGGTCGACTACCCGTATAGGCTTTGGCACTATCCTTGTACCATCAATTACACCATATTCAAAGTCAGGATGTACGTG GGAGGGGTCGAGCACAGGCTGGAAGCGGCCTGCAACTGGACGCGGGGCGAACGCTGTGATCTGGAAGACAGGGACAGGTC CGAGCTCAGCCCATTGCTGCTGTCCACCACACAGTGGCAGGTCCTTCCGTGTTCTTTCACGACCCTGCCAGCCTTGTCCA CCGGCCTCATCCACCTCCACCAGAACATTGTGGACGTGCAGTACTTGTACGGGGTAGGGTCAAGCATCGCGTCCTGGGCC ATTAAGTGGGAGTACGTCGTTCTCCTGTTCCTCCTGCTTGCAGACGCGCGCGTCTGCTCCTGCTTGTGGATGATGTTACT CATATCCCAAGCGGAGGCGGCTTTGGAGAACCTCGTAATACTCAATGCAGCATCCCTGGCCGGGACGCACGGTCTTGTGT CCTTCCTCGTGTTCTTCTGCTTTGCGTGGTATCTGAAGGGTAGGTGGGTGCCCGGAGCGGTCTACGCCTTCTACGGGATG TGGCCTCTCCTCCTGCTCCTGCTGGCGTTGCCTCAGCGGGCATACGCACTGGACACGGAGGTGGCCGCGTCGTGTGGCGG CGTTGTTCTTGTCGGGTTAATGGCGCTGACTCTGTCGCCATATTACAAGCGCTACATCAGCTGGTGCATGTGGTGGCTTC AGTATTTTCTGACCAGAGTAGAAGCGCAACTGCACGTGTGGGTTCCCCCCCTCAACGTCCGGGGGGGGCGCGATGCCGTC ATCTTACTCATGTGTGTTGTACACCCGACTCTGGTATTTGACATCACCAAACTACTCCTGGCCATCTTCGGACCCCTTTG GATTCTTCAAGCCAGTTTGCTTAAAGTCCCCTACTTCGTGCGCGTTCAAGGCCTTCTCCGGATCTGCGCGCTAGCGCGGA AGATAGCCGGAGGTCATTACGTGCAAATGGCCATCATCAAGTTAGGGGCGCTTACTGGCACCTATGTGTATAACCATCTC ACCCCTCTTCGAGACTGGGCGCACAACGGCCTGCGAGATCTGGCCGTGGCTGTGGAACCAGTCGTCTTCTCCCGAATGGA GACCAAGCTCATCACGTGGGGGGCAGATACCGCCGCGTGCGGTGACATCATCAACGGCTTGCCCGTCTCTGCCCGTAGGG GCCAGGAGATACTGCTTGGGCCAGCCGACGGAATGGTCTCCAAGGGGTGGAGGTTGCTGGCGCCCATCACGGCGTACGCC CAGCAGACGAGAGGCCTCCTAGGGTGTATAATCACCAGCCTGACTGGCCGGGACAAAAACCAAGTGGAGGGTGAGGTCCA GATCGTGTCAACTGCTACCCAAACCTTCCTGGCAACGTGCATCAATGGGGTATGCTGGACTGTCTACCACGGGGCCGGAA CGAGGACCATCGCATCACCCAAGGGTCCTGTCATCCAGATGTATACCAATGTGGACCAAGACCTTGTGGGCTGGCCCGCT CCTCAAGGTTCCCGCTCATTGACACCCTGCACCTGCGGCTCCTCGGACCTTTACCTGGTCACGAGGCACGCCGATGTCAT TCCCGTGCGCCGGCGAGGTGATAGCAGGGGTAGCCTGCTTTCGCCCCGGCCCATTTCCTACTTGAAAGGCTCCTCGGGGG GTCCGCTGTTGTGCCCCGCGGGACACGCCGTGGGCCTATTCAGGGCCGCGGTGTGCACCCGTGGAGTGGCTAAGGCGGTG GACTTTATCCCTGTGGAGAACCTAGAGACAACCATGAGATCCCCGGTGTTCACGGACAACTCCTCTCCACCAGCAGTGCC CCAGAGCTTCCAGGTGGCCCACCTGCATGCTCCCACCGGCAGCGGTAAGAGCACCAAGGTCCCGGCTGCGTACGCAGCCC AGGGCTACAAGGTGTTGGTGCTCAACCCCTCTGTTGCTGCAACGCTGGGCTTTGGTGCTTACATGTCCAAGGCCCATGGG GTTGATCCTAATATCAGGACCGGGGTGAGAACAATTACCACTGGCAGCCCCATCACGTACTCCACCTACGGCAAGTTCCT TGCCGACGGCGGGTGCTCAGGAGGTGCTTATGACATAATAATTTGTGACGAGTGCCACTCCACGGATGCCACATCCATCT TGGGCATCGGCACTGTCCTTGACCAAGCAGAGACTGCGGGGGCGAGACTGGTTGTGCTCGCCACTGCTACCCCTCCGGGC TCCGTCACTGTGTCCCATCCTAACATCGAGGAGGTTGCTCTGTCCACCACCGGAGAGATCCCTTTTTACGGCAAGGCTAT CCCCCTCGAGGTGATCAAGGGGGGAAGACATCTCATCTTCTGCCACTCAAAGAAGAAGTGCGACGAGCTCGCCGCGAAGC TGGTCGCATTGGGCATCAATGCCGTGGCCTACTACCGCGGTCTTGACGTGTCTGTCATCCCGACCAGCGGCGATGTTGTC GTCGTGTCGACCGATGCTCTCATGACTGGCTTTACCGGCGACTTCGACTCTGTGATAGACTGCAACACGTGTGTCACTCA GACAGTCGATTTCAGCCTTGACCCTACCTTTACCATTGAGACAACCACGCTCCCCCAGGATGCTGTCTCCAGGACTCAAC GCCGGGGCAGGACTGGCAGGGGGAAGCCAGGCATCTACAGATTTGTGGCACCGGGGGAGCGCCCCTCCGGCATGTTCGAC TCGTCCGTCCTCTGTGAGTGCTATGACGCGGGCTGTGCTTGGTATGAGCTCACGCCCGCCGAGACTACAGTTAGGCTACG AGCGTACATGAACACCCCGGGGCTTCCCGTGTGCCAGGACCATCTTGAATTTTGGGAGGGCGTCTTTACGGGCCTCACTC ATATAGATGCCCACTTTCTATCCCAGACAAAGCAGAGTGGGGAGAACTTTCCTTACCTGGTAGCGTACCAAGCCACCGTG TGCGCTAGGGCTCAAGCCCCTCCCCCATCGTGGGACCAGATGTGGAAGTGTTTGATCCGCCTTAAACCCACCCTCCATGG GCCAACACCCCTGCTATACAGACTGGGCGCTGTTCAGAATGAAGTCACCCTGACGCACCCAATCACCAAATACATCATGA CATGCATGTCGGCCGACCTGGAGGTCGTCACGAGCACCTGGGTGCTCGTTGGCGGCGTCCTGGCTGCTCTGGCCGCGTAT TGCCTGTCAACAGGCTGCGTGGTCATAGTGGGCAGGATTGTCTTGTCCGGGAAGCCGGCAATTATACCTGACAGGGAGGT TCTCTACCAGGAGTTCGATGAGATGGAAGAGTGCTCTCAGCACTTACCGTACATCGAGCAAGGGATGATGCTCGCTGAGC AGTTCAAGCAGAAGGCCCTCGGCCTCCTGCAGACCGCGTCCCGCCAAGCAGAGGTTATCACCCCTGCTGTCCAGACCAAC TGGCAGAAACTCGAGGTCTTCTGGGCGAAGCACATGTGGAATTTCATCAGTGGGATACAATACTTGGCGGGCCTGTCAAC GCTGCCTGGTAACCCCGCCATTGCTTCATTGATGGCTTTTACAGCTGCCGTCACCAGCCCACTAACCACTGGCCAAACCC TCCTCTTCAACATATTGGGGGGGTGGGTGGCTGCCCAGCTCGCCGCCCCCGGTGCCGCTACCGCCTTTGTGGGCGCTGGC TTAGCTGGCGCCGCCATCGGCAGCGTTGGACTGGGGAAGGTCCTCGTGGACATTCTTGCAGGGTATGGCGCGGGCGTGGC GGGAGCTCTTGTAGCATTCAAGATCATGAGCGGTGAGGTCCCCTCCACGGAGGACCTGGTCAATCTGCTGCCCGCCATCC TCTCGCCTGGAGCCCTTGTAGTCGGTGTGGTCTGCGCAGCAATACTGCGCCGGCACGTTGGCCCGGGCGAGGGGGCAGTG CAATGGATGAACCGGCTAATAGCCTTCGCCTCCCGGGGGAACCATGTTTCCCCCACGCACTACGTGCCGGAGAGCGATGC AGCCGCCCGCGTCACTGCCATACTCAGCAGCCTCACTGTAACCCAGCTCCTGAGGCGACTGCATCAGTGGATAAGCTCGG AGTGTACCACTCCATGCTCCGGTTCCTGGCTAAGGGACATCTGGGACTGGATATGCGAGGTGCTGAGCGACTTTAAGACC TGGCTGAAAGCCAAGCTCATGCCACAACTGCCTGGGATTCCCTTTGTGTCCTGCCAGCGCGGGTATAGGGGGGTCTGGCG AGGAGACGGCATTATGCACACTCGCTGCCACTGTGGAGCTGAGATCACTGGACATGTCAAAAACGGGACGATGAGGATCG TCGGTCCTAGGACCTGCAGGAACATGTGGAGTGGGACGTTCCCCATTAACGCCTACACCACGGGCCCCTGTACTCCCCTT CCTGCGCCGAACTATAAGTTCGCGCTGTGGAGGGTGTCTGCAGAGGAATACGTGGAGATAAGGCGGGTGGGGGACTTCCA CTACGTATCGGGTATGACTACTGACAATCTTAAATGCCCGTGCCAGATCCCATCGCCCGAATTTTTCACAGAATTGGACG GGGTGCGCCTACATAGGTTTGCGCCCCCTTGCAAGCCCTTGCTGCGGGAGGAGGTATCATTCAGAGTAGGACTCCACGAG TACCCGGTGGGGTCGCAATTACCTTGCGAGCCCGAACCGGACGTAGCCGTGTTGACGTCCATGCTCACTGATCCCTCCCA TATAACAGCAGAGGCGGCCGGGAGAAGGTTGGCGAGAGGGTCACCCCCTTCTATGGCCAGCTCCTCGGCCAGCCAGCTGT CCGCTCCATCTCTCAAGGCAACTTGCACCGCCAACCATGACTCCCCTGACGCCGAGCTCATAGAGGCTAACCTCCTGTGG AGGCAGGAGATGGGCGGCAACATCACCAGGGTTGAGTCAGAGAACAAAGTGGTGATTCTGGACTCCTTCGATCCGCTTGT GGCAGAGGAGGATGAGCGGGAGGTCTCCGTACCCGCAGAAATTCTGCGGAAGTCTCGGAGATTCGCCCGGGCCCTGCCCG TTTGGGCGCGGCCGGACTACAACCCCCCGCTAGTAGAGACGTGGAAAAAGCCTGACTACGAACCACCTGTGGTCCATGGC TGCCCGCTACCACCTCCACGGTCCCCTCCTGTGCCTCCGCCTCGGAAAAAGCGTACGGTGGTCCTCACCGAATCAACCCT ATCTACTGCCTTGGCCGAGCTTGCCACCAAAAGTTTTGGCAGCTCCTCAACTTCCGGCATTACGGGCGACAATACGACAA CATCCTCTGAGCCCGCCCCTTCTGGCTGCCCCCCCGACTCCGACGTTGAGTCCTATTCTTCCATGCCCCCCCTGGAGGGG GAGCCTGGGGATCCGGATCTCAGCGACGGGTCATGGTCGACGGTCAGTAGTGGGGCCGACACGGAAGATGTCGTGTGCTG CTCAATGTCTTATTCCTGGACAGGCGCACTCGTCACCCCGTGCGCTGCGGAAGAACAAAAACTGCCCATCAACGCACTGA GCAACTCGTTGCTACGCCATCACAATCTGGTGTATTCCACCACTTCACGCAGTGCTTGCCAAAGGCAGAAGAAAGTCACA TTTGACAGACTGCAAGTTCTGGACAGCCATTACCAGGACGTGCTCAAGGAGGTCAAAGCAGCGGCGTCAAAAGTGAAGGC TAACTTGCTATCCGTAGAGGAAGCTTGCAGCCTGACGCCCCCACATTCAGCCAAATCCAAGTTTGGCTATGGGGCAAAAG ACGTCCGTTGCCATGCCAGAAAGGCCGTAGCCCACATCAACTCCGTGTGGAAAGACCTTCTGGAAGACAGTGTAACACCA ATAGACACTACCATCATGGCCAAGAACGAGGTTTTCTGCGTTCAGCCTGAGAAGGGGGGTCGTAAGCCAGCTCGTCTCAT CGTGTTCCCCGACCTGGGCGTGCGCGTGTGCGAGAAGATGGCCCTGTACGACGTGGTTAGCAAGCTCCCCCTGGCCGTGA TGGGAAGCTCCTACGGATTCCAATACTCACCAGGACAGCGGGTTGAATTCCTCGTGCAAGCGTGGAAGTCCAAGAAGACC CCGATGGGGTTCTCGTATGATACCCGCTGTTTTGACTCCACAGTCACTGAGAGCGACATCCGTACGGAGGAGGCAATTTA CCAATGTTGTGACCTGGACCCCCAAGCCCGCGTGGCCATCAAGTCCCTCACTGAGAGGCTTTATGTTGGGGGCCCTCTTA CCAATTCAAGGGGGGAAAACTGCGGCTACCGCAGGTGCCGCGCGAGCGGCGTACTGACAACTAGCTGTGGTAACACCCTC ACTTGCTACATCAAGGCCCGGGCAGCCTGTCGAGCCGCAGGGCTCCAGGACTGCACCATGCTCGTGTGTGGCGACGACTT AGTCGTTATCTGTGAAAGTGCGGGGGTCCAGGAGGACGCGGCGAGCCTGAGAGCCTTCACGGAGGCTATGACCAGGTACT CCGCCCCCCCCGGGGACCCCCCACAACCAGAATACGACTTGGAGCTTATAACATCATGCTCCTCCAACGTGTCAGTCGCC CACGACGGCGCTGGAAAGAGGGTCTACTACCTTACCCGTGACCCTACAACCCCCCTCGCGAGAGCCGCGTGGGAGACAGC AAGACACACTCCAGTCAATTCCTGGCTAGGCAACATAATCATGTTTGCCCCCACACTGTGGGCGAGGATGATACTGATGA CCCATTTCTTTAGCGTCCTCATAGCCAGGGATCAGCTTGAACAGGCTCTTAACTGTGAGATCTACGGAGCCTGCTACTCC ATAGAACCACTGGATCTACCTCCAATCATTCAAAGACTCCATGGCCTCAGCGCATTTTCACTCCACAGTTACTCTCCAGG TGAAATCAATAGGGTGGCCGCATGCCTCAGAAAACTTGGGGTCCCGCCCTTGCGAGCTTGGAGACACCGGGCCCGGAGCG TCCGCGCTAGGCTTCTGTCCAGAGGAGGCAGGGCTGCCATATGTGGCAAGTACCTCTTCAACTGGGCAGTAAGAACAAAG CTCAAACTCACTCCAATAGCGGCCGCTGGCCGGCTGGACTTGTCCGGTTGGTTCACGGCTGGCTACAGCGGGGGAGACAT TTATCACAGCGTGTCTCATGCCCGGCCCCGCTGGTTCTGGTTTTGCCTACTCCTGCTCGCTGCAGGGGTAGGCATCTACC TCCTCCCCAACCGATGAAGGTTGGGGTAAACACTCCGGCCTCTTAGGCCATTTCCTGTTTTTTTTTTTTTTTTTTTTTTT TTTTTTTTTTTTTTTTTTTTTTTTTTTTCTTTTTTTTTTTTTTTTTCCTTTTTTTTTTTTTTTTTTTTCTTTCCTTCTTT TTTCCTTTCTTTTCCTTCCTTCTTTAATGGTGGCTCCATCTTAGCCCTAGTCACGGCTAGCTGTGAAAGGTCCGTGAGCC GCATGACTGCAGAGAGTGCTGATACTGGCCTCTCTGCAGATCATGT ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/Viruses/Hepatitis_C_virus/GCF_000861845.1_ViralProj15432_protein.faa ================================================ >NP_671491.1 polyprotein [Hepatitis C virus] MSTNPKPQRKTKRNTNRRPQDVKFPGGGQIVGGVYLLPRRGPRLGVRATRKTSERSQPRGRRQPIPKARRPEGRTWAQPG YPWPLYGNEGCGWAGWLLSPRGSRPSWGPTDPRRRSRNLGKVIDTLTCGFADLMGYIPLVGAPLGGAARALAHGVRVLED GVNYATGNLPGCSFSIFLLALLSCLTVPASAYQVRNSSGLYHVTNDCPNSSIVYEAADAILHTPGCVPCVREGNASRCWV AVTPTVATRDGKLPTTQLRRHIDLLVGSATLCSALYVGDLCGSVFLVGQLFTFSPRRHWTTQDCNCSIYPGHITGHRMAW DMMMNWSPTAALVVAQLLRIPQAIMDMIAGAHWGVLAGIAYFSMVGNWAKVLVVLLLFAGVDAETHVTGGSAGRTTAGLV GLLTPGAKQNIQLINTNGSWHINSTALNCNESLNTGWLAGLFYQHKFNSSGCPERLASCRRLTDFAQGWGPISYANGSGL DERPYCWHYPPRPCGIVPAKSVCGPVYCFTPSPVVVGTTDRSGAPTYSWGANDTDVFVLNNTRPPLGNWFGCTWMNSTGF TKVCGAPPCVIGGVGNNTLLCPTDCFRKHPEATYSRCGSGPWITPRCMVDYPYRLWHYPCTINYTIFKVRMYVGGVEHRL EAACNWTRGERCDLEDRDRSELSPLLLSTTQWQVLPCSFTTLPALSTGLIHLHQNIVDVQYLYGVGSSIASWAIKWEYVV LLFLLLADARVCSCLWMMLLISQAEAALENLVILNAASLAGTHGLVSFLVFFCFAWYLKGRWVPGAVYAFYGMWPLLLLL LALPQRAYALDTEVAASCGGVVLVGLMALTLSPYYKRYISWCMWWLQYFLTRVEAQLHVWVPPLNVRGGRDAVILLMCVV HPTLVFDITKLLLAIFGPLWILQASLLKVPYFVRVQGLLRICALARKIAGGHYVQMAIIKLGALTGTYVYNHLTPLRDWA HNGLRDLAVAVEPVVFSRMETKLITWGADTAACGDIINGLPVSARRGQEILLGPADGMVSKGWRLLAPITAYAQQTRGLL GCIITSLTGRDKNQVEGEVQIVSTATQTFLATCINGVCWTVYHGAGTRTIASPKGPVIQMYTNVDQDLVGWPAPQGSRSL TPCTCGSSDLYLVTRHADVIPVRRRGDSRGSLLSPRPISYLKGSSGGPLLCPAGHAVGLFRAAVCTRGVAKAVDFIPVEN LETTMRSPVFTDNSSPPAVPQSFQVAHLHAPTGSGKSTKVPAAYAAQGYKVLVLNPSVAATLGFGAYMSKAHGVDPNIRT GVRTITTGSPITYSTYGKFLADGGCSGGAYDIIICDECHSTDATSILGIGTVLDQAETAGARLVVLATATPPGSVTVSHP NIEEVALSTTGEIPFYGKAIPLEVIKGGRHLIFCHSKKKCDELAAKLVALGINAVAYYRGLDVSVIPTSGDVVVVSTDAL MTGFTGDFDSVIDCNTCVTQTVDFSLDPTFTIETTTLPQDAVSRTQRRGRTGRGKPGIYRFVAPGERPSGMFDSSVLCEC YDAGCAWYELTPAETTVRLRAYMNTPGLPVCQDHLEFWEGVFTGLTHIDAHFLSQTKQSGENFPYLVAYQATVCARAQAP PPSWDQMWKCLIRLKPTLHGPTPLLYRLGAVQNEVTLTHPITKYIMTCMSADLEVVTSTWVLVGGVLAALAAYCLSTGCV VIVGRIVLSGKPAIIPDREVLYQEFDEMEECSQHLPYIEQGMMLAEQFKQKALGLLQTASRQAEVITPAVQTNWQKLEVF WAKHMWNFISGIQYLAGLSTLPGNPAIASLMAFTAAVTSPLTTGQTLLFNILGGWVAAQLAAPGAATAFVGAGLAGAAIG SVGLGKVLVDILAGYGAGVAGALVAFKIMSGEVPSTEDLVNLLPAILSPGALVVGVVCAAILRRHVGPGEGAVQWMNRLI AFASRGNHVSPTHYVPESDAAARVTAILSSLTVTQLLRRLHQWISSECTTPCSGSWLRDIWDWICEVLSDFKTWLKAKLM PQLPGIPFVSCQRGYRGVWRGDGIMHTRCHCGAEITGHVKNGTMRIVGPRTCRNMWSGTFPINAYTTGPCTPLPAPNYKF ALWRVSAEEYVEIRRVGDFHYVSGMTTDNLKCPCQIPSPEFFTELDGVRLHRFAPPCKPLLREEVSFRVGLHEYPVGSQL PCEPEPDVAVLTSMLTDPSHITAEAAGRRLARGSPPSMASSSASQLSAPSLKATCTANHDSPDAELIEANLLWRQEMGGN ITRVESENKVVILDSFDPLVAEEDEREVSVPAEILRKSRRFARALPVWARPDYNPPLVETWKKPDYEPPVVHGCPLPPPR SPPVPPPRKKRTVVLTESTLSTALAELATKSFGSSSTSGITGDNTTTSSEPAPSGCPPDSDVESYSSMPPLEGEPGDPDL SDGSWSTVSSGADTEDVVCCSMSYSWTGALVTPCAAEEQKLPINALSNSLLRHHNLVYSTTSRSACQRQKKVTFDRLQVL DSHYQDVLKEVKAAASKVKANLLSVEEACSLTPPHSAKSKFGYGAKDVRCHARKAVAHINSVWKDLLEDSVTPIDTTIMA KNEVFCVQPEKGGRKPARLIVFPDLGVRVCEKMALYDVVSKLPLAVMGSSYGFQYSPGQRVEFLVQAWKSKKTPMGFSYD TRCFDSTVTESDIRTEEAIYQCCDLDPQARVAIKSLTERLYVGGPLTNSRGENCGYRRCRASGVLTTSCGNTLTCYIKAR AACRAAGLQDCTMLVCGDDLVVICESAGVQEDAASLRAFTEAMTRYSAPPGDPPQPEYDLELITSCSSNVSVAHDGAGKR VYYLTRDPTTPLARAAWETARHTPVNSWLGNIIMFAPTLWARMILMTHFFSVLIARDQLEQALNCEIYGACYSIEPLDLP PIIQRLHGLSAFSLHSYSPGEINRVAACLRKLGVPPLRAWRHRARSVRARLLSRGGRAAICGKYLFNWAVRTKLKLTPIA AAGRLDLSGWFTAGYSGGDIYHSVSHARPRWFWFCLLLLAAGVGIYLLPNR >NP_803170.1 protein F [Hepatitis C virus] MSTNPKPQRKPNVTPTVAHRTSSSRVAVRSLVEFTCCRAGALDWVCARRGRLPSGRNLEVDVSLSPRHVGPRAGPGLSPG TLGPSMAMRVAGGRDGSCLPVALGLAGAPQTPGVGRAIWVRSSIPLRAASPTSWGTYRSSAPLLEALPGPWRMASGFWKT A ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/Viruses/Tomato_mosaic_virus/GCF_000853705.1_ViralProj14926_genomic.fna ================================================ >NC_002692.1 Tomato mosaic virus, complete genome GTATTTTTACAACAATTACCAACAACAACAACAAACAACAACAACATTACATTTTACATTCTACAACTACAATGGCATAC ACACAAACAGCCACATCGTCCGCTTTGCTTGAGACCGTCCGAGGTAACAATACCTTGGTCAACGATCTTGCAAAGCGGCG TCTATATGACACAGCGGTAGATGAATTTAATGCTAGGGACCGCAGGCCTAAAGTCAATTTTTCCAAAGTAGTAAGCGAAG AACAGACGCTTATTGCAACCAAAGCCTACCCAGAATTCCAAATTACATTCTACAACACGCAGAATGCTGTGCATTCCCTT GCAGGCGGTCTCCGATCATTAGAATTGGAATATCTGATGATGCAAATTCCCTACGGATCATTGACATATGATATCGGAGG TAATTTTGCATCTCATCTGTTCAAAGGGCGAGCATACGTTCACTGCTGTATGCCGAATCTAGATGTCCGCGACATAATGC GGCACGAGGGCCAAAAGGACAGTATTGAACTATACCTTTCTAGGCTCGAGAGGGGCAACAAACATGTCCCAAACTTCCAA AAGGAAGCTTTCGACAGATACGCTGAAATGCCAAACGAAGTAGTCTGTCACGATACTTTCCAAACGTGTAGGCATTCTCA AGAATGTTACACGGGAAGAGTGTATGCTATTGCTTTGCATAGTATATACGATATACCTGCCGACGAGTTCGGCGCGGCAC TGCTGAGAAAGAATGTACATGTATGTTATGCCGCTTTCCACTTTTCCGAGAATTTACTTCTCGAAGATTCACACGTCAAC CTCGATGAGATCAATGCATGTTTCCAAAGAGATGGAGACAGGTTGACTTTTTCCTTTGCATCTGAGAGTACTCTTAATTA TAGTCATAGTTATTCTAATATTCTTAAGTATGTTTGCAAAACTTACTTCCCAGCCTCTAATAGAGAGGTTTACATGAAGG AGTTTTTAGTAACTAGAGTTAATACCTGGTTTTGTAAATTTTCTAGAATAGATACTTTCTTATTGTACAAAGGTGTAGCG CATAAGGGTGTAGATAGTGAGCAGTTTTACAAGGCTATGGAAGACGCATGGCACTACAAAAAGACTCTTGCGATGTGCAA CAGTGAAAGAATCTTGTTAGAGGATTCTTCATCAGTTAATTACTGGTTTCCAAAAATGAGGGATATGGTGATAGTTCCAC TATTTGACATATCTCTCGAGACTAGTAAAAGAACACGCAAAGAGGTCTTAGTTTCAAAGGACTTTGTTTATACAGTGTTA AATCACATTCGTACGTACCAGGCCAAAGCGCTTACTTACTCCAACGTGTTATCTTTCGTCGAATCAATTCGTTCGAGAGT GATCATTAACGGGGTTACTGCCAGGTCTGAGTGGGATGTCGATAAATCATTATTACAGTCCTTGTCGATGACGTTCTTCC TACATACCAAGCTTGCCGTTCTGAAAGACGATCTTTTGATTAGCAAGTTTGCACTTGGACCAAAAACTGTCTCACAACAT GTGTGGGATGAGATTTCCCTAGCTTTCGGCAATGCTTTCCCATCGATCAAGGAAAGATTGATAAACCGGAAACTGATCAA AATTACGGAGAATGCGTTAGAGATCAGGGTGCCCGATCTTTATGTCACTTTCCATGATAGGTTAGTTTCTGAGTACAAAA TGTCAGTGGACATGCCGGTGCTAGACATTAGGAAAAAGATGGAAGAAACTGAGGAAATGTACAATGCACTGTCCGAACTG TCTGTACTTAAAAATTCAGACAAGTTCGATGTTGATGTTTTTTCCCAGATGTGCCAATCTTTAGAAGTTGATCCAATGAC TGCAGCAAAGGTAATAGTAGCAGTTATGAGCAACGAGAGTGGTCTTACTCTCACGTTTGAACAGCCCACCGAAGCTAATG TTGCGCTAGCATTGCAAGATTCTGAAAAGGCTTCTGATGGGGCGTTGGTAGTTACCTCAAGAGATGTTGAGGAACCGTCC ATAAAGGGTTCGATGGCCCGTGGTGAGTTACAATTGGCCGGATTATCTGGCGACGTTCCTGAATCTTCATACACTAGGAG CGAGGAGATTGAGTCTCTCGAGCAGTTTCATATGGCAACAGCTAGTTCGTTAATTCATAAGCAGATGTGTTCGATCGTGT ACACGGGCCCTCTTAAAGTTCAACAAATGAAAAACTTTATAGACAGCCTGGTAGCCTCGCTCTCTGCTGCGGTGTCGAAT CTAGTGAAGATCCTAAAAGATACAGCCGCGATTGACCTTGAAACTCGTCAAAAGTTCGGAGTTCTGGATGTTGCTTCGAA AAGGTGGCTAGTTAAACCATCCGCAAAGAACCATGCATGGGGGGTTGTTGAGACTCATGCGAGGAAATATCACGTCGCAT TACTGGAGCACGATGAATTTGGCATTATTACGTGCGATAACTGGCGACGGGTGGCTGTGAGTTCTGAGTCGGTAGTATAT TCTGATATGGCTAAACTCAGGACTCTGAGAAGATTGCTCAAAGATGGAGAACCACACGTTAGTTCAGCAAAGGTGGTTTT GGTGGATGGCGTTCCAGGGTGCGGGAAGACAAAGGAAATTCTTTCGAGAGTTAATTTCGAAGAAGATCTAATTCTTGTCC CTGGTCGTCAAGCTGCCGAGATGATCAGAAGAAGAGCTAATGCGTCGGGCATAATAGTGGCTACAAAGGATAATGTGCGC ACCGTCGATTCATTTTTGATGAATTACGGGAAAGGGGCACGCTGTCAGTTCAAAAGATTGTTCATAGACGAAGGTTTGAT GCTGCATACTGGTTGTGTGAATTTCTTGGTTGAAATGTCTCTGTGCGATATTGCATATGTTTATGGAGACACCCAACAAA TTCCGTACATCAACAGAGTAACTGGTTTCCCGTACCCTGCGCACTTTGCAAAATTGGAGGTCGACGAAGTCGAAACAAGA AGAACTACTCTTCGCTGTCCGGCTGATGTCACACACTTCCTAAATCAAAGGTATGAAGGACACGTAATGTGCACGTCTTC TGAAAAGAAATCAGTTTCCCAGGAAATGGTTAGTGGGGCTGCGTCTATCAATCCTGTGTCCAAGCCGCTTAAAGGGAAAA TTTTGACTTTCACACAGTCTGACAAGGAGGCCCTTCTCTCAAGGGGCTACGCAGATGTCCATACTGTACATGAGGTACAA GGTGAGACTTATGCAGACGTATCGTTAGTTCGACTAACACCTACGCCTGTATCTATCATCGCAAGAGACAGTCCGCATGT TCTGGTCTCGTTGTCAAGACACACAAAATCCCTAAAGTACTACACCGTTGTGATGGATCCTTTAGTTAGTATCATTAGAG ATTTAGAACGGGTTAGTAGTTACTTATTAGACATGTACAAAGTAGATGCAGGTACTCAATAGCAATTACAGGTCGACTCT GTGTTTAAAAATTTCAATCTTTTTGTAGCAGCTCCAAAGACTGGAGATATATCTGATATGCAATTTTACTATGATAAGTG TCTTCCTGGGAACAGCACGTTGTTGAACAACTACGACGCTGTTACCATGAAATTGACTGACATTTCTCTGAATGTCAAAG ATTGCATATTAGATATGTCTAAGTCTGTAGCTGCTCCGAAAGATGTCAAACCAACTTTAATACCGATGGTACGAACGGCG GCAGAAATGCCTCGCCAGACTGGACTGTTGGAAAATCTAGTTGCGATGATTAAAAGAAATTTTAATTCACCAGAGTTGTC CGGAGTAGTTGATATTGAAAATACTGCATCTTTAGTGGTAGATAAGTTTTTTGATAGTTATTTACTTAAGGAAAAAAGAA AACCAAACAAAAATTTTTCACTGTTTAGTAGAGAGTCTCTCAATAGGTGGATAGCAAAGCAAGAACAAGTCACAATTGGT CAGTTGGCCGATTTTGATTTTGTGGATCTTCCAGCCGTTGATCAGTACAGGCATATGATTAAAGCGCAACCGAAGCAGAA ACTGGATCTGTCAATTCAGACAGAATATCCAGCGTTGCAAACGATTGTGTATCATTCAAAGAAAATCAACGCAATATTTG GTCCTCTTTTCAGTGAGCTTACAAGGCAATTACTTGACAGTATTGACTCAAGCAGATTCTTGTTCTTTACGAGAAAGACA CCGGCTCAGATCGAAGATTTCTTCGGAGATCTAGACAGTCATGTCCCAATGGACGTACTTGAGTTGGATGTTTCGAAGTA TGATAAGTCTCAAAACGAGTTTCATTGTGCTGTTGAGTACGAAATCTGGAGGAGACTGGGTCTGGAGGATTTCTTGGCAG AAGTGTGGAAACAAGGGCATAGAAAAACCACCCTGAAAGATTACACTGCTGGTATAAAAACGTGTTTATGGTACCAGAGA AAGAGTGGTGATGTTACAACTTTTATCGGTAATACCGTCATCATTGCTTCGTGTCTTGCATCAATGCTCCCGATGGAAAA ATTGATAAAAGGAGCCTTCTGCGGAGATGACAGTTTGTTGTACTTTCCTAAGGGTTGTGAGTATCCCGATATACAACAAG CTGCCAATCTAATGTGGAATTTTGAGGCCAAACTGTTCAAGAAGCAATATGGGTACTTCTGCGGGAGGTACGTGATTCAT CACGATAGAGGTTGCATAGTATACTACGACCCTTTGAAGCTGATTTCGAAACTTGGTGCTAAACACATCAAGGATTGGGA TCATTTGGAGGAGTTCAGAAGATCCCTCTGTGATGTTGCTGAGTCGTTGAACAATTGCGCGTATTACACACAATTGGACG ACGCTGTTGGGGAGGTTCATAAAACCGCCCCACCTGGTTCGTTTGTTTATAAGAGTTTAGTTAAGTATTTGTCAGATAAA GTTTTGTTTAGAAGTTTATTTCTTGATGGCTCTAGTTGTTAAAGGTAAGGTAAATATTAATGAGTTTATCGATCTGTCAA AGTCTGAGAAACTTCTCCCGTCGATGTTCACGCCTGTAAAGAGTGTTATGGTTTCAAAGGTTGATAAGATTATGGTCCAT GAAAATGAATCATTGTCTGAAGTAAATCTCTTAAAAGGTGTAAAACTTATAGAAGGTGGGTATGTTTGCTTAGTCGGTCT TGTTGTGTCCGGTGAGTGGAATTTACCAGATAATTGCCGTGGTGGTGTGAGTGTCTGCATGGTTGACAAGAGAATGGAAA GAGCGGACGAAGCCACACTGGGGTCATATTACACTGCTGCTGCTAAAAAGCGGTTTCAGTTTAAAGTGGTCCCAAATTAC GGTATTACAACAAAGGATGCAGAAAAGAACATATGGCAGGTCTTAGTAAATATTAAAAATGTAAAAATGAGTGCGGGCTA CTGCCCTTTGTCATTAGAATTTGTGTCTGTGTGTATTGTTTATAAAAATAATATAAAATTGGGTTTGAGGGAGAAAGTAA CGAGTGTGAACGATGGAGGACCCATGGAACTTTCAGAAGAAGTTGTTGATGAGTTCATGGAGAATGTTCCAATGTCGGTT AGACTCGCAAAGTTTCGAACCAAATCCTCAAAAAGAGGTCCGAAAAATAATAATAATTTAGGTAAGGGGCGTTCAGGCGG AAGGTCTAAACCAAAAAGTTTTGATGAAGTTGAAAAAGAGTTTGATAATTTGATTGAAGATGAAGCCGAGACGTCGGTCG CGGATTCTGATTCGTATTAAATATGTCTTACTCAATCACTTCTCCATCGCAATTTGTGTTTTTGTCATCTGTATGGGCTG ACCCTATAGAATTGTTAAACGTTTGTACAAATTCGTTAGGTAACCAGTTTCAAACACAGCAAGCAAGAACTACTGTTCAA CAGCAGTTCAGCGAGGTGTGGAAACCTTTCCCTCAGAGCACCGTCAGATTTCCTGGCGATGTTTATAAGGTGTACAGGTA CAATGCAGTTTTAGATCCTCTAATTACTGCGTTGCTGGGGGCTTTCGATACTAGGAATAGAATAATCGAAGTAGAAAACC AGCAGAGTCCGACAACAGCTGAAACGTTAGATGCTACCCGCAGGGTAGACGACGCTACGGTTGCAATTCGGTCTGCTATA AATAATTTAGTTAATGAACTAGTAAGAGGTACTGGACTGTACAATCAGAATACTTTTGAAAGTATGTCTGGGTTGGTCTG GACCTCTGCACCTGCATCTTAAATGCATAGGTGCTGAAATATAAATTTTGTGTTTCTAAAACACACGTGGTACGTACGAT AACGTACAGTGTTTTTCCCTCCACTTAAATCGAAGGGTAGTGTCTTGGAGCGCGCGGAGTAAACATATATGGTTCATATA TGTCCGTAGGCACGTAAAAAAGCGAGGGATTCGAATTCCCCCGGAACCCCCGGTTGGGGCCCA ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/Viruses/Tomato_mosaic_virus/GCF_000853705.1_ViralProj14926_protein.faa ================================================ >NP_078446.1 unnamed protein product [Tomato mosaic virus] MAYTQTATSSALLETVRGNNTLVNDLAKRRLYDTAVDEFNARDRRPKVNFSKVVSEEQTLIATKAYPEFQITFYNTQNAV HSLAGGLRSLELEYLMMQIPYGSLTYDIGGNFASHLFKGRAYVHCCMPNLDVRDIMRHEGQKDSIELYLSRLERGNKHVP NFQKEAFDRYAEMPNEVVCHDTFQTCRHSQECYTGRVYAIALHSIYDIPADEFGAALLRKNVHVCYAAFHFSENLLLEDS HVNLDEINACFQRDGDRLTFSFASESTLNYSHSYSNILKYVCKTYFPASNREVYMKEFLVTRVNTWFCKFSRIDTFLLYK GVAHKGVDSEQFYKAMEDAWHYKKTLAMCNSERILLEDSSSVNYWFPKMRDMVIVPLFDISLETSKRTRKEVLVSKDFVY TVLNHIRTYQAKALTYSNVLSFVESIRSRVIINGVTARSEWDVDKSLLQSLSMTFFLHTKLAVLKDDLLISKFALGPKTV SQHVWDEISLAFGNAFPSIKERLINRKLIKITENALEIRVPDLYVTFHDRLVSEYKMSVDMPVLDIRKKMEETEEMYNAL SELSVLKNSDKFDVDVFSQMCQSLEVDPMTAAKVIVAVMSNESGLTLTFEQPTEANVALALQDSEKASDGALVVTSRDVE EPSIKGSMARGELQLAGLSGDVPESSYTRSEEIESLEQFHMATASSLIHKQMCSIVYTGPLKVQQMKNFIDSLVASLSAA VSNLVKILKDTAAIDLETRQKFGVLDVASKRWLVKPSAKNHAWGVVETHARKYHVALLEHDEFGIITCDNWRRVAVSSES VVYSDMAKLRTLRRLLKDGEPHVSSAKVVLVDGVPGCGKTKEILSRVNFEEDLILVPGRQAAEMIRRRANASGIIVATKD NVRTVDSFLMNYGKGARCQFKRLFIDEGLMLHTGCVNFLVEMSLCDIAYVYGDTQQIPYINRVTGFPYPAHFAKLEVDEV ETRRTTLRCPADVTHFLNQRYEGHVMCTSSEKKSVSQEMVSGAASINPVSKPLKGKILTFTQSDKEALLSRGYADVHTVH EVQGETYADVSLVRLTPTPVSIIARDSPHVLVSLSRHTKSLKYYTVVMDPLVSIIRDLERVSSYLLDMYKVDAGTQXQLQ VDSVFKNFNLFVAAPKTGDISDMQFYYDKCLPGNSTLLNNYDAVTMKLTDISLNVKDCILDMSKSVAAPKDVKPTLIPMV RTAAEMPRQTGLLENLVAMIKRNFNSPELSGVVDIENTASLVVDKFFDSYLLKEKRKPNKNFSLFSRESLNRWIAKQEQV TIGQLADFDFVDLPAVDQYRHMIKAQPKQKLDLSIQTEYPALQTIVYHSKKINAIFGPLFSELTRQLLDSIDSSRFLFFT RKTPAQIEDFFGDLDSHVPMDVLELDVSKYDKSQNEFHCAVEYEIWRRLGLEDFLAEVWKQGHRKTTLKDYTAGIKTCLW YQRKSGDVTTFIGNTVIIASCLASMLPMEKLIKGAFCGDDSLLYFPKGCEYPDIQQAANLMWNFEAKLFKKQYGYFCGRY VIHHDRGCIVYYDPLKLISKLGAKHIKDWDHLEEFRRSLCDVAESLNNCAYYTQLDDAVGEVHKTAPPGSFVYKSLVKYL SDKVLFRSLFLDGSSC >NP_078447.1 unnamed protein product [Tomato mosaic virus] MAYTQTATSSALLETVRGNNTLVNDLAKRRLYDTAVDEFNARDRRPKVNFSKVVSEEQTLIATKAYPEFQITFYNTQNAV HSLAGGLRSLELEYLMMQIPYGSLTYDIGGNFASHLFKGRAYVHCCMPNLDVRDIMRHEGQKDSIELYLSRLERGNKHVP NFQKEAFDRYAEMPNEVVCHDTFQTCRHSQECYTGRVYAIALHSIYDIPADEFGAALLRKNVHVCYAAFHFSENLLLEDS HVNLDEINACFQRDGDRLTFSFASESTLNYSHSYSNILKYVCKTYFPASNREVYMKEFLVTRVNTWFCKFSRIDTFLLYK GVAHKGVDSEQFYKAMEDAWHYKKTLAMCNSERILLEDSSSVNYWFPKMRDMVIVPLFDISLETSKRTRKEVLVSKDFVY TVLNHIRTYQAKALTYSNVLSFVESIRSRVIINGVTARSEWDVDKSLLQSLSMTFFLHTKLAVLKDDLLISKFALGPKTV SQHVWDEISLAFGNAFPSIKERLINRKLIKITENALEIRVPDLYVTFHDRLVSEYKMSVDMPVLDIRKKMEETEEMYNAL SELSVLKNSDKFDVDVFSQMCQSLEVDPMTAAKVIVAVMSNESGLTLTFEQPTEANVALALQDSEKASDGALVVTSRDVE EPSIKGSMARGELQLAGLSGDVPESSYTRSEEIESLEQFHMATASSLIHKQMCSIVYTGPLKVQQMKNFIDSLVASLSAA VSNLVKILKDTAAIDLETRQKFGVLDVASKRWLVKPSAKNHAWGVVETHARKYHVALLEHDEFGIITCDNWRRVAVSSES VVYSDMAKLRTLRRLLKDGEPHVSSAKVVLVDGVPGCGKTKEILSRVNFEEDLILVPGRQAAEMIRRRANASGIIVATKD NVRTVDSFLMNYGKGARCQFKRLFIDEGLMLHTGCVNFLVEMSLCDIAYVYGDTQQIPYINRVTGFPYPAHFAKLEVDEV ETRRTTLRCPADVTHFLNQRYEGHVMCTSSEKKSVSQEMVSGAASINPVSKPLKGKILTFTQSDKEALLSRGYADVHTVH EVQGETYADVSLVRLTPTPVSIIARDSPHVLVSLSRHTKSLKYYTVVMDPLVSIIRDLERVSSYLLDMYKVDAGTQ >NP_078448.1 unnamed protein product [Tomato mosaic virus] MALVVKGKVNINEFIDLSKSEKLLPSMFTPVKSVMVSKVDKIMVHENESLSEVNLLKGVKLIEGGYVCLVGLVVSGEWNL PDNCRGGVSVCMVDKRMERADEATLGSYYTAAAKKRFQFKVVPNYGITTKDAEKNIWQVLVNIKNVKMSAGYCPLSLEFV SVCIVYKNNIKLGLREKVTSVNDGGPMELSEEVVDEFMENVPMSVRLAKFRTKSSKRGPKNNNNLGKGRSGGRSKPKSFD EVEKEFDNLIEDEAETSVADSDSY >NP_078449.1 unnamed protein product [Tomato mosaic virus] MSYSITSPSQFVFLSSVWADPIELLNVCTNSLGNQFQTQQARTTVQQQFSEVWKPFPQSTVRFPGDVYKVYRYNAVLDPL ITALLGAFDTRNRIIEVENQQSPTTAETLDATRRVDDATVAIRSAINNLVNELVRGTGLYNQNTFESMSGLVWTSAPAS ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/Viruses/partial_pan-viral-9seqs-with-human-random-subset.fna ================================================ >EU255973.1 Hepatitis C virus subtype 1a isolate HCV-1a/US/BID-V180/1990, complete genome GAGCCATGGCGTTAGTATGAGTGTCGTGCAGCCTCCAGGACCCCCCCTCCCGGGAGAGCC ATAGTGGTCTGCGGAACCGGTGAGTACACCGGAATTGCCAGGACGACCGGGTCCTTTCTT GGATAAACCCGCTCAATGCCTGGAGATTTGGGCGTGCCCCCGCAAGACTGCTAGCCGAGT AGTGTTGGGTCGCGAAAGGCCTTGTGGTACTGCCTGATAGGGTGCTTGCGAGTGCCCCGG GAGGTCTCGTAGACCGTGCACCATGAGCACGAATCCTAAACCTCAAAGAAAAACCAAACG TAACACCAACCGTCGCCCACAGGACGTCAAGTTCCCGGGTGGCGGTCAGATCGTTGGTGG AGTTTACTTGTTGCCGCGCAGGGGCCCTAGATTGGGTGTGCGCGCGACGAGGAAGACTTC CGAGCGGTCGCAACCTCGAGGTAGACGTCAGCCTATCCCCAAGGCACGTCGGCCCGAGGG CAGGACCTGGGCTCAGCCCGGGTATCCTTGGCCCCTCTATGGCAATGAGGGTTGCGGGTG GGCGGGATGGCTCCTGTCTCCCCGAGGCTCTCGGCCTAGTTGGGGCCCCACAGACCCCCG GCGTAGGTCGCGCAATCTGGGTAAGGTCATCGATACCCTTACGTGCGGCTTCGCCGACCT CATGGGGTACATACCGCTCGTCGGCGCTCCTCTTGGAGGCGCTGCCAGGGCTCTGGCGCA TGGCGTCAGGGTTCTGGAAGACGGCGTGAACTATGCAACAGGGAACCTTCCTGGTTGCTC TTTCTCTATCTTCCTTCTGGCCCTACTCTCTTGCCTGACCGTGCCCGCCTCAGCCTACCA AGTGCGCAACTCCTCGGGGCTTTACCATGTCACCAATGATTGCCCTAACTCGAGTATTGT GTACGAGGCGGCCGATGCCATCCTGCACACTCCGGGGTGTGTCCCTTGCGTTCGCGAGGG TAACGCCTCGAGGTGTTGGGTGCCGGTGACCCCCACGGTGGCCACCAGGGACGGCAAGCT CCCCACAACGCAGCTTCGACGTCATATCGATCTGCTCGTCGGGGGCGCCACCCTCTGCTC GGCTCTCTACGTGGGGGACCTGTGCGGGTCTGTCTTTCTTGTCGGCCAGCTGTTTACCCT CTCTCCCAGGCGCCACTGGACGACGCAGGGCTGTAATTGTTCTATCTATCCCGGCCATAT AACGGGTCACCGCATGGCATGGGATATGATGATGAACTGGTCCCCTACAACGGCGTTGGT GGTAGCTCAGCTGCTCCGGATCCCACAAGCCATCATGGACATGATCGCTGGTGCTCACTG GGGAGTCCTGGCGGGCATAGCGTACTTCTCCATGGTGGGGAACTGGGCGAAGGTCCTGGT AGTGCTACTGCTATTTGCCGGCGTCGACGCGGAAACCCACGTCACCGGGGGAAGTGCCGG CCGCACCGTGGCTGGGCTTACTGGTCTCTTCGCACCAGGCGCCAGACAGAACATCCAACT GATCAACACCAACGGCAGTTGGCACATCAATAGCACGGCCTTGAACTGCAATGATAGCCT TCAAACCGGCTGGATAGCAGGCCTCTTCTATCACCACAAATTCAACTCTTCAGGCTGTTC CGAGAGGTTGGCCAGCTGCCGACGCCTTACTGATTTTGCCCAGGGCTGGGGCCCCATCAG TTATGCCAACGGAAGCGGCCCCGACGAGCGTCCCTACTGCTGGCACTACCCCCCAAGACC TTGTGGTATTGTGCCCGCAAGGAGCGTGTGTGGCCCGGTATATTGCTTCACTCCCAGCCC CGTGGTGGTGGGAACGACCGACAGGTCGGGTGCGCCTACCTACAACTGGGGTGAAAATGA TACGGACGTTTTCGTCCTCAACAACACCAGGCCACCGCTGGGCAATTGGTTCGGTTGCAC CTGGATGAACTCGACTGGATTCACCAAAGTGTGCGGAGCGCCCCCTTGTGTCATCGGAGG GGTGGGCAATAACACCTTGCGCTGCCCCACTGATTGCTTCCGCAAGCATCCGGAAGCCAC ATACTCTCGGTGCGGCTCCGGTCCCTGGATTACACCCAGGTGCATGGTCGACTACCCGTA TAGGCTTTGGCATTACCCTTGTACCATCAACTACACCATATTCAAAGTCAGGATGTACGT GGGAGGGGTCGAGCACAGGCTGGAAGCTGCCTGCAACTGGACGCGGGGCGAACGCTGCGA TCTGGAAGACAGGGACAGGTCCGAGCTCAGCCCATTGCTGCTGTCCACCACACAGTGGCA GGTTCTTCCGTGTTCTTTCACGACCCTGCCAGCCTTGTCCACCGGCCTCATCCACCTCCA CCAGAACATCGTGGACGTGCAGTACTTGTACGGGGTAGGGTCAAGCATTGCGTCCTGGGC CATTAAGTGGGAGTATGTCGTTCTCCTGTTCCTTCTGCTTGCAGACGCGCGCGTCTGCTC CTGCTTGTGGATGATGTTACTCATATCCCAAGCGGAGGCGGCTTTGGAGAACCTCGTAAT ACTCAATGCAGCATCCCTGGCCGGGACGCACGGTCTTGTGTCCTTCCTAGTGTTCTTCTG CTTTGCGTGGTATCTGAAGGGTAGGTGGGTGCCCGGAGCGGCATACGCCTTCTACGGGAT GTGGCCTCTCCTCCTGCTCCTGCTGGCGTTGCCTCAACGGGCATACGCACTGGACACGGA GGTGGCCGCGTCGTGTGGCGGCGTTGTTCTTGTCGGGTTAATGGCGCTGACTCTGTCACC ATATTACAAGCGCCACATCGGCTGGTGCTTGTGGTGGCTTCAGTATCTTCTGACCAGAGT AGAAGCGCATCTGCACGTGTGGGTTCCCCCCCTCAACGTTCGAGGGAGGCGCGATGCCAT CATCTTGCTCATGTGTGCTGTACACCCGACTTTGGTATTTGACATCACCAAACTACTGCT GGCCGTCTTCGGACCCCTTTGGATTCTCCAAGCCAGTTTGCTCAAAGTCCCCTACTTCGT GCGCGTTCAAGGCCTCCTCCGGATCTGCGCGCTAGCGCGGAAGATGGTCGGGGGTCATTA CGTGCAGATGGCCATCATCAAGTTAGGGGCGCTTACTGGTACCTATGTTTACAACCACCT CACTCCTCTTCGGGACTGGGCGCACAACGGCCTGCAAGATCTGGCCGTGGCTGTGGAACC TGTCGTCTTCTCCCCAATGGAGACCAAGCTCATCACGTGGGGGGCGGACACCGCCGCGTG CGGCGACATCATCGACGGCTTGCCCGTCTCCGCCCGTAGGGGCCAGGAGATACTGCTTGG ACCAGCCGACGGAATGGTCTCCAAGGGGTGGAGGTTGCTGGCGCCCATCACGGCGTACGC CCAGCAGACGAGAGGCCTCCTAGGGTGTATAATCACCAGCCTGACTGGCCGGGACAAGAA CCAAGTGGAGGGTGAGGTCCAGATCGTGTCAACCGCTGCCCAAACTTTCCTGGCAACGTG CATCAATGGGGTATGCTGGACTGTCTACCACGGGGCCGGAACGAGGACCATCGCATCACC CAAGGGTCCTGTTATCCAGATGTATACCAATGTGGACCAAGACCTCGTGGGCTGGCCCGC TCCTCCAGGTTCCCGCTCATTAACACCCTGCACCTGCGGCTCCTCGGACCTCTACCTGGT CACGAGGCACGCCGATGTCATTCCCGTGCGCCGGCGGGGTGATAGCAGGGGCAGCCTGCT TTCGCCCCGGCCCATCTCCTACTTGAAAGGCTCCTCGGGGGGTCCGCTGTTGTGCCCCGC GGGACACGCCGTGGGCATATTCAGGGCCGCGGTGTGCACCCGTGGAGTGGCTAAAGCGGT GGACTTTATCCCTGTGGAGAACCTAGAGACAACCATGAGATCCCCGGTGTTCACGGACAA CTCCTCTCCACCAGCAGTGCCCCAGAGCTTCCAGGTAGCCCACCTGCATGCTCCCACCGG CAGCGGTAAGAGCACCAAGGTTCCGGCTGCGTACGCAGCTCAAGGCTACAAGGTGCTGGT GCTCAACCCCTCTGTTGCTGCAACACTGGGCTTTGGTGCTTACATGTCCAAGGCCCATGG GGTCGATCCTAACATCAGGACTGGGGTGAGAACAATTACCACTGGCAGCCCCATCACGTA CTCCACCTACGGCAAGTTCCTTGCCGACGGCGGGTGCTCAGGGGGTGCTTATGACATAAT AATTTGTGACGAGTGCCACTCCACGGATGCTACATCCATCTTGGGCATCGGCACTGTCCT TGACCAAGCAGAGACTGCGGGGGCGAGACTGGTTGTGCTCGCCACTGCTACTCCTCCGGG CTCCGTCACTGTGCCCCATCCTAACATCGAGGAGGTTGCTCTGTCCACCACCGGAGAGAT CCCTTTTTACGGCAAGGCTATTCCCCTCGAGGTGATCAAGGGGGGAAGACATCTCATCTT CTGTCACTCAAAGAAGAAGTGCGATGAGCTCGCCGCAAAGCTGGTCGCGTTGGGCGTCAA TGCCGTGGCCTACTACCGCGGTCTCGACGTGTCTGTCATCCCGACCAGCGGCGATGTTGT CGTCGTGGCGACCGATGCTCTCATGACTGGCTATACCGGCGACTTCGACTCTGTGATAGA CTGCAACACGTGTGTCACCCAGACAGTCGATTTCAGCCTTGACCCTACCTTCACCATTGA GACAACCACGCTCCCCCAGGATGCTGTCTCCCGGACTCAACGTCGGGGCAGGACTGGCAG GGGGAAGCCAGGCATCTACAGATTTGTGGCACCGGGGGAGCGCCCCTCGGGCATGTTCGA CTCGTCCGTCCTCTGTGAGTGCTATGACGCGGGCTGTGCTTGGTATGAGCTCACGCCCGC CGAGACTACAGTTAGGCTACGAGCGTACATGAACACCCCGGGGCTTCCCGTGTGCCAGGA CCATCTTGAATTTTGGGAGGGCGTTTTTACGGGCCTCACTCATATAGATGCCCACTTTCT ATCCCAGACAAAGCAGAGTGGGGAGAACTTTCCTTACCTGGTAGCGTACCAAGCCACCGT GTGCGCTAGGGCTCAAGCCCCGCCCCCATCGTGGGACCAGATGTGGAAGTGTTTGATCCG TCTCAAGCCCACCCTCCATGGGCCAACACCCCTGCTATACAGACTGGGCGCTGTTCAGAA TGAAGTTACCCTGACGCACCCAATCACCAAATACATCATGACATGCATGTCGGCTGACCT GGAGGTCGTCACGAGCACCTGGGTGCTCGTTGGCGGCGTCCTGGCTGCTTTGGCCGCGTA TTGCCTGTCAACAGGCTGCGTGGTCATAGTGGGCAGGATTGTCTTGTCCGGGAAGCCGGC AGTTATACCTGACAGGGAGGTTCTCTACCGGGAGTTCGATGAGATGGAAGAGTGCTCTCA GCACTTACCGTACATCGAGCAAGGGATGATGCTCGCCGAGCAGTTCAAGCAGAAGGCCCT CGGCCTCCTGCAGACCGCGTCCCGCCAGGCAGAGGTTATCGCCCCTGCTGTCCAGACCAA CTGGCAGAAACTCGAGGCCTTCTGGGCGAAGCATATGTGGAATTTCATCAGTGGGATACA ATACTTGGCGGGCCTGTCAACGCTGCCTGGTAACCCCGCCATTGCTTCATTGATGGCTTT TACAGCTGCTGTCACCAGCCCACTAACCACTAGCCAAACCCTCCTCTTCAACATATTGGG GGGGTGGGTGGCTGCCCAGCTCGCTGCCCCCGGTGCCGCTACCGCCTTTGTGGGCGCTGG CTTAGCCGGCGCCGCCATCGGCAGTGTTGGGCTGGGGAAGGTCCTCGTGGACATTCTTGC AGGATATGGCGCGGGCGTGGCGGGAGCTCTTGTAGCATTCAAGATCATGAGCGGTGAGGT CCCCTCCACGGAGGACCTGGTCAATCTGCTGCCCGCCATCCTCTCGCCTGGAGCCCTTGT AGTCGGTGTGGTCTGCGCAGCAATACTGCGCCGGCACGTTGGCCCGGGCGAGGGGGCAGT GCAATGGATGAACCGGCTAATAGCCTTCGCCTCCCGGGGGAACCATGTTTCCCCCACGCA CTACGTGCCGGAGAGCGATGCAGCCGCCCGCGTCACGGCCATACTCAGCAGCCTCACTGT AACCCAGCTCCTGAGGCGACTGCACCAGTGGATAAGCTCGGAGTGTACCACTCCATGCTC CGGTTCCTGGCTAAGAGACATCTGGGACTGGATATGCGAGGTGCTGAGCGACTTTAAGAC CTGGCTGAAAGCCAAGCTCATGCCACAACTGCCTGGGATTCCCTTTGTGTCCTGCCAGCG CGGGTATAGGGGGGTCTGGCGGGGAGACGGCATCATGCACACTCGCTGCCACTGTGGAGC TGAGATCACTGGACATGTCAAAAACGGGACGATGAGGATCGTCGGTCCTAGGACCTGCAG GAACATGTGGAGTGGGACCTTCCCCATTAACGCCTACACCACGGGCCCCTGTACCCCCCT TCCTGCGCCGAACTATAAGTTCGCGCTGTGGAGGGTGTCTGCAGAGGAATACGTGGAGAT AAGGCAGGTGGGGGACTTCCACTACGTAACGGGCATGACTACTGACAATCTTAAATGCCC GTGCCAGGTCCCATCGCCCGAATTCTTCACAGAATTGGACGGGGTGCGCCTACATAGGTA TGCGCCCCCTTGCAAGCCCTTGCTGCGGGAGGAGGTATCATTCAGAGTAGGACTCCACGA GTACCCGGTGGGGTCGCAACTACCTTGCGAGCCCGAACCGGACGTGGCCGTGTTGACGTC CATGCTCACTGATCCCTCCCACATAACAGCGGAGGCGGCCGGGAGAAGGTTGGCGAGGGG ATCACCCCCTTCTGTGGCCAGCTCCTCGGCTAGCCAGTTGTCCGCTCCATCTCTCAAGGC AACTTGCACCGCCAACCATGACTCCCCTGACGCCGAGCTCATAGAGGCTAATCTCCTGTG GAGGCAGGAGATGGGCGGCAACATCACCAGGGTTGAGTCAGAGAACAAAGTGGTGATTCT GGACTCCTTCGATCCGCTTGTATCAGAGGAGGATGAGCGGGAGATCTCCGTACCCGCAGA AATCCTGCGGAAGTCTCGGAGATTCGCCCCGGCCCTGCCCATTTGGGCGCGGCCGGACTA CAACCCCCCGCTGGTAGAGACGTGGAAAAAACCTGACTACGAACCACCCGTGGTCCATGG CTGCCCGCTACCACCTCCACAGTCCCCTCCTGTGCCTCCGCCTCGGAAGAAGCGAACGGT GGTCCTCACCGAATCAACCCTATCTACTGCCTTGGCTGAGCTTGCCACCAAAAGTTTTGG CAGCTCCTCAACTTCCGGCATTACGGGCGACAATACGACAACATCCTCTGAGCCCGCCCC TTCTGGCTGCTCCCCCGACTCCGACGTTGAGTCCTATTCTTCCATGCCCCCCCTGGAGGG GGAGCCTGGAGATCCGGATCTCAGCGACGGGTCATGGTCGACGGTCAGTAGCGGGGCCGA CGCGGAGGATGTCGTGTGCTGCTCAATGTCCTATACCTGGACAGGCGCACTCGTCACCCC GTGCGCTGCGGAAGAACAAAAACTGCCCATCAACGCACTGAGCAACTCGTTGCTACGTCA TCACAATCTGGTGTATTCCACCACTTCACGCAGTGCTTGCCAAAGGCAGAAGAAAGTCAC ATTTGACAGACTGCAAGTTCTGGACAGCCATTACCAGGACGTGCTCAAGGAGGTTAAGGC AGCGGCGTCAAAAGTGAAGGCTAACTTGCTATCCGTAGAGGAAGCTTGCAGCCTGACGCC CCCACACTCAGCCAAATCCAAGTTTGGTTATGGGGCGAAAGACGTCCGTTGCCATGCCAG AAAGGCCGTAGCCCACATCAACTCCGTGTGGAAAGACCTTCTGGAAGACAGTGTAACACC AATAGACACTACCATCATGGCTAAGAACGAGGTTTTCTGTGTTCAGCCTGAGAAGGGGGG TCGTAAGCCAGCTCGTCTCATCGTGTTCCCCGACCTGGGCGTGCGCGTGTGCGAGAAGAT GGCCCTGTACGATGTGGTTAGCAAGCTCCCCCTGGCCGTGATGGGAAGCTCCTACGGATT CCAATACTCACCAGGACAGCGGGTTGAATTCCTCGTGAAAGCGTGGAAGTCCAAGAAGAC CCCAATGGGGTTCTCATATGATACCCGCTGTTTTGACTCCACAGTCACTGAGAGCGACAT CCGTACGGAGGAGGCAATTTACCAATGTTGTGACCTGGACCCCCAAGCCCGCGTGGCCAT CAAGTCCCTCACTGAGAGGCTTTACGTTGGGGGCCCTCTTACCAATTCAAGGGGGGAGAA CTGCGGCTACCGCAGGTGCCGCGCGAGCGGCGTACTGACAACTAGCTGTGGTAACACCCT CACTTGCTACATCAAGGCCCAAGCAGCCTGTCGAGCCGCAGGGCTCCAGGACTGCACCAT GCTCGTGTGTGGCGACGACTTAGTCGTTATCTGTGAAAGTGCGGGGGTCCAGGAGGACGC GGCGAGCCTGAGAGCCTTCACGGAGGCTATGACCAGGTACTCCGCCCCCCCCGGGGACCC CCCACAACCAGAATACGACTTGGAGCTCATAACATCATGCTCCTCCAACGTGTCAGTCGC CCACGACGGCGCTGGAAAGAGGGTCTACTACCTCACCCGTGACCCTACAACCCCCCTCGC GAGAGCCGCGTGGGAGACAGCAAGACACACTCCAGTCAATTCCTGGCTAGGCAACATAAT CATGTTTGCCCCCACACTGTGGGCGAGGATGATATTGATGACCCACTTCTTTAGCGTCCT CATAGCCAGGGACCAGCTTGAACAGGCCCTTGATTGCGAGATCTACGGAGCCTGCTACTC CATAGAACCACTGGACCTACCTCCAATCATTCAAAGACTCCATGGCCTCAGCGCATTTTC ACTCCACAGTTACTCTCCAGGTGAGATCAATAGGGTGGCCGCATGCCTCAGAAAACTTGG GGTCCCGCCCTTGCGAGCTTGGAGACACCGGGCCCGGAGCGTCCGCGCTAGGCTTCTGTC CAGAGGAGGCAGGGCTGCCATATGTGGCAAGTACCTCTTCAACTGGGCAGTAAGAACAAA GCTCAAACTCACTCCAATAGCGGCCGCTGGCCGGCTGGACTTGTCCGGCTGGTTCACGGC TGGCTACAGCGGGGGAGACATTTATCACAGCGTGTCTCATGCCCGGCCCCGCTGGTTCTG GTTTTGCCTACTCCTGCTCGCTGCAGGGGTAGGCATCTACCTCCTCCCCAACCGATGA >KJ207374.1 Tomato mosaic virus isolate Penghu, complete genome GTATTTTTACAACAATTACCAACAACAACAACAAACAACAACAACATTACATTTTACATT CTACAACTACAATGGCATACACACAAACAGCCACATCGTCCGCTTTGCTTGAGACCGTCC GAGGTAACAATACCTTGGTCAACGATCTTGCAAAGCGGCGTCTATATGACACAGCGGTCG ATGAATTTAATGCTAGGGACCGCAGGCCTAAAGTCAATTTTTCCAAAGTAGTAAGCGAAG AACAGACGCTTATTGCAACCAAAGCCTACCCAGAATTCCAAATTACATTCTACAACACGC AGAACGCTGTGCATTCCCTTGCAGGCGGTCTCCGATCATTAGAATTGGAATATCTGATGA TGCAAATTCCCTACGGATCATTGACATATGATATCGGAGGTAATTTTGCATCTCATCTGT TCAAAGGGCGAGCATACGTTCACTGCTGTATGCCGAATCTGGATGTCCGCGACATAATGC GGCACGAGGGCCAAAAGGACAGTATTGAACTATACCTTTCTAGGCTCGAAAGGGGCAACA AACATGTCCCAAACTTCCAAAAGGAAGCTTTCGACAGATACGCTGAAATGCCAAACGAAG TAGTCTGTCACGATACTTTCCAAACGTGTAGGCATTCTCAAGAATGTTACACGGGAAGAG TGTATGCTATTGCTTTGCATAGTATATACGATATACCTGCCGACGAGTTCGGCGCGGCAC TGCTGAGAAAGAATGTACATGTATGTTATGCCGCTTTCCACTTTTCCGAGAATTTACTTC TCGAAGATTCACACGTCAACCTCGATGAGATCAATGCATGTTTCCAAAGAGATGGAGACA GGTTGACCTTTTCCTTTGCATCTGAGAGTACTCTTAATTATAGTCATAGTTATTCTAATA TTCTTAAGTATGTTTGCAAAACTTACTTCCCAGCCTCTAATAGAGAGGTTTACATGAAGG AGTTTTTAGTAACTAGAGTTAATACCTGGTTTTGTAAATTTTCTAGAATAGATACTTTCT TATTGTACAAAGGTGTAGCGCATAAGGGTGTAGATAGTGAGCAGTTTTACAAGGCTATGG AAGACGCATGGCACTACAAAAAGACTCTTGCGATGTGCAACAGTGAAAGAATCTTGTTAG AGGATTCTTCATCAGTTAATTACTGGTTTCCAAAAATGAGGGATATGGTGATAGTTCCAC TATTTGACATATCTCTCGAGACTAGTAAAAGAACACGCAAAGAGGTCTTAGTTTCAAAGG ACTTTGTTTATACAGTGTTAAATCACATTCGTACGTACCAGGCAAAAGCGCTTACTTACT CCAACGTGTTATCTTTCGTCGAATCAATTCGTTCGAGAGTGATCATTAACGGGGTTACTG CTAGGTCTGAGTGGGATGTCGATAAATCATTATTACAGTCCTTGTCGATGACGTTCTTCC TACATACCAAGCTTGCCGTTCTGAAAGACGATCTTTTGATTAGCAAGTTTGCACTTGGTC CAAAAACTGTCTCACAACATGTGTGGGATGAGATTTCCCTAGCTTTCGGCAATGCTTTCC CATCGATCAAGGAAAGATTGATAAACCGGAAACTGATCAAAATTACGGAGAATGCGTTAG AGATCAGGGTGCCCGATCTTTATGTCACTTTCCATGATAGGTTAGTTTCTGAGTACAAAA TGTCAGTGGACATGCCGGTGCTAGACATTAGGAAAAAGATGGAAGAAACTGAGGAAATGT ACAATGCACTGTCCGAACTGTCTGTACTTAAAAATTCAGACAAATTCGATGTTGATGTTT TTTCCCAGATGTGCCAATCTTTAGAAGTTGATCCAATGACTGCAGCAAAGGTAATAGTAG CAGTTATGAGCAACGAGAGTGGTCTTACTCTCACGTTTGAACAGCCCACCGAAGCTAATG TTGCGCTAGCATTGAAAGATTCTGAAAAGGCTTCTGATGGGGCGTTGGTAGTTACCTCAA GAGATGTTGAAGAACCGTCCATAAAGGGTTCGATGGCCCGTGGTGAGTTACAATTGGCCG GATTATCTGGCGACGTTCCTGAATCTTCATACACTAGGAGCGAGGAAATTGAGTCTCTCG AGCAGTTTCATATGGCAACAGCTAGTTCGTTAATTCACAAGCAGATGTGTTCGATCGTGT ACACGGGCCCTCTTAAAGTTCAACAAATGAAAAACTTTATAGACAGCCTGGTAGCCTCGC TCTCTGCTGCGGTGTCGAATCTAGTGAAGATCCTAAAAGATACAGCTGCGATTGACCTTG AAACTCGTCAAAAGTTCGGAGTTCTGGATGTTGCTTCGAAAAGGTGGCTAGTTAAACCAT CCGCAAAGAACCATGCATGGGGGGTTGTTGAGACTCATGCGAGGAAATATCACGTCGCAT TACTGGAGCACGATGAATTTGGCATTATTACGTGCGATAACTGGCGACGGGTGGCTGTGA GTTCTGAGTCGGTAGTATATTCTGATATGGCTAAACTCAGAACTCTGAGAAGATTGCTCA AAGATGGAGAACCACACGTTAGTTCAGCAAAGGTGGTTTTGGTGGATGGCGTTCCAGGGT GCGGGAAAACAAAGGAAATTCTTTCGAGAGTTAATTTCGAAGAAGATCTAATTCTTGTCC CTGGTCGTCAAGCTGCCGAGATGATCAGAAGAAGAGCTAATGCGTCGGGCATAATAGTGG CTACAAAGGACAATGTGCGTACCGTCGATTCATTTTTGATGAATTACGGGAAAGGGGCAC GCTGTCAGTTCAAAAGATTGTTCATAGACGAAGGTTTGATGCTGCATACTGGTTGTGTGA ATTTCTTGGTTGAAATGTCTCTGTGCGATATTGCATATGTTTATGGAGACACCCAACAAA TTCCGTACATCAACAGAGTAACTGGTTTCCCGTACCCTGCACACTTTGCAAAATTGGAGG TCGACGAAGTCGAAACAAGAAGAATTACTCTTCGTTGTCCGGCTGATGTCACACACTTCC TAAATCAAAGGTATGAAGGACACGTAATGTGCACGTCTTCTGAAAAGAAATCAGTTTCCC AGGAAATGGTTAGTGGGGCTGCGTCTATCAATCCTGTGTCCAAGCCGCTTAAAGGGAAAA TTTTGACTTTTACACAGTCTGACAAGGAGGCCCTTCTCTCAAGGGGCTATGCAGATGTCC ATACTGTACATGAGGTACAAGGTGAGACTTATGCAGACGTATCGTTAGTTCGACTAACAC CTACGCCTGTATCTATCATCGCAAGAGACAGTCCGCATGTTCTGGTCTCGTTGTCAAGAC ACACAAAATCCCTAAAGTACTACACCGTTGTGATGGATCCTTTAGTTAGTATCATTAGAG ATTTAGAACAGGTTAGTAGTTACTTATTAGACATGTACAAAGTAGATGCAGGTACTCAAT AGCAATTACAGGTCGACTCTGTGTTTAAGAATTTCAATCTTTTTGTAGCAGCTCCAAAGA CTGGAGATATATCTGATATGCAATTTTACTATGATAAGTGTCTTCCTGGGAACAGCACGT TGTTGAACAACTACGACGCTGTTACCATGAAATTGACTGACATTTCTCTGAATGTCAAAG ATTGCATATTAGATATGTCTAAGTCTGTAGCTGCTCCGAAAGATGTCAAACCAACTTTAA TACCGATGGTACGAACGGCGGCAGAAATGCCTCGCCAGACTGGACTGTTGGAAAATTTAG TTGCGATGATTAAAAGAAATTTTAATTCACCAGAGTTGTCCGGAGTAGTTGATATTGAAA ATACTGCATCTTTAGTGGTAGATAAGTTTTTTGATAGTTATTTACTTAAGGAAAAAAGAA AACCAAACAAAAATTTTTCACTGTTTAGTAGAGAGTCTCTCAATAGGTGGATAGCAAAGC AAGAACAAGTCACAATTGGTCAGTTGGCCGATTTTGATTTTGTGGATCTTCCAGCCGTTG ATCAGTACAGGCATATGATAAAAGCGCAACCGAAGCAGAAACTGGATCTGTCAATTCAGA CGGAATATCCAGCGTTGCAAACGATTGTGTATCATTCAAAGAAAATCAACGCAATATTTG GTCCTCTTTTCAGTGAGCTTACAAGGCAATTACTTGACAGTATTGACTCAAGCAGATTCT TGTTCTTTACGAGAAAGACACCGGCTCAGATCGAAGATTTCTTCGGAGATCTAGACAGTC ATGTCCCAATGGACGTACTTGAGTTGGATATTTCAAAGTATGATAAGTCTCAAAACGAGT TTCATTGTGCTGTTGAGTACGAAATCTGGAGGAGACTGGGTCTGGAGGATTTCTTGGCAG AAGTGTGGAAACAAGGGCATAGAAAAACCACTCTGAAAGATTACACTGCTGGTATAAAAA CGTGTTTATGGTACCAGAGAAAGAGTGGTGATGTTACAACTTTTATCGGTAATACCGTCA TCATTGCTTCGTGTCTTGCATCAATGCTCCCGATGGAAAAATTGATAAAAGGAGCCTTCT GCGGAGATGACAGTTTGTTGTACTTTCCTAGAGGTTGTGAGTATCCCGATATACAACAAG CTGCTAATCTGATGTGGAATTTTGAGGCCAAACTGTTCAAGAAGCAATATGGGTACTTCT GCGGGAGGTACGTGATTCATCACGATAGAGGTTGCATAGTATACTACGACCCTCTGAAGC TGATTTCGAAACTTGGTGCTAAACACATCAAGGATTGGGATCATTTGGAGGAGTTCAGAA GATCCCTCTGTGATGTTGCTGAGTCGTTGAACAATTGTGCGTATTACACACAATTGGACG ACGCTGTTGGGGAGGTTCATAAAACCGCCCCACCTGGTTCGTTTGTTTATAGGAGTTTAG TTAAGTATTTGTCAGATAAAGTTTTGTTTAGAAGTTTATTTCTTGATGGCTCTAGTTGTT AAAGGTAAGGTAAATATTAATGAGTTTATCGATCTGTCAAAGTCTGAGAAACTTCTCCCG TCGATGTTCACGCCTGTAAAGAGTGTTATGGTTTCAAAGGTTGATAAGATTATGGTCCAT GAAAATGAATCATTGTCTGAAGTAAATCTCTTAAAAGGTGTAAAACTTATAGAAGGTGGG TATGTTTGCTTAGTTGGTCTTGTTGTGTCCGGTGAGTGGAATTTACCAGATAATTGCCGT GGTGGTGTGAGTGTCTGCATGGTTGACAAGAGAATGGAAAGAGCGGACGAAGCCACACTG GGGTCATATTACACTGCTGCTGCTAAAAAGCGGTTTCAGTTTAAAGTGGTCCCAAATTAC GGTATTACTACAAAGGATGCAGAAAAGAACATATGGCAGGTCTTAGTAAATATTAAAAAT GTAAAAATGAGTGCGGGCTACTGCCCTTTGTCATTAGAATTTGTGTCTGTGTGTATTGTT TATAAAAATAATATAAAATTGGGTTTGAGGGAGAAAGTAACGAGTGTGAACGATGGAGGA CCCATGGAACTTTCAGAAGAAGTTGTTGATGAGTTCATGGAGAATGTTCCAATGTCGGTT AGACTCGCAAAGTTTCGAACCAAAACCTCAAAAAGAGGTCCGAAAAATAATAATAATTTA GGTAAGGGGCGTTCAGGCGGAAGGCCTAAACCAAAAAGTTTTGATGAAGTTGAAAAAGAG TTTGATAATTTGATTGAAGATGAAGCCGAGACGTCGGTCGCGGATTCTGATTCGTATTAA ATATGTCTTACTCAATCACTTCTCCATCGCAATTTGTGTTTTTGTCATCTGTATGGGCTG ACCCTATAGAATTGTTAAACGTTTGTACAAATTCGTTAGGTAACCAGTTTCAAACACAGC AAGCAAGAACTACTGTTCAACAGCAGTTCAGCGAGGTGTGGAAACCTTTCCCTCAGAGCA CCGTCAGATTTCCTGGCGATGTTTATAAGGTGTACAGGTACAATGCAGTTTTAGATCCTC TAATTACTGCGTTGCTGGGGGCCTTCGATACTAAGAATAGAATAATCGAAGTAGAAAACC AGCAGAGTCCGACAACAGCTGAAACGTTAGATGCTACCCGCAGGGTAGACGACGCTACGG TTGCAATCCGGTCTGCTATAAATAATTTAGTTAATGAACTAGTAAAAGGTACTGGACTGT ACAATCAGAATACTTTTGAAAGTATGTCTGGGTTGGTCTGGACCTCTGCACCTGCATCTT AAATGCATAGGTGCTGAAATATAAAGTTTGTGTTTCTAAAACACACGTGGTACGTACGAT AACGTACAGTGTTTTTCCCTCCACTTAAATCGAAGGGTAGTGTCTTGGAGCGCGCGGAGT AAACATATATGGTGCATATATGTCCGTAGGCACGTAAAAAAGCGAGGGATTCGAATTCCC CCGGAGCACCACTGGTGGTGGCCCA >AY184220.1 Human poliovirus 2 strain Sabin 2, complete genome TTAAAACAGCTCTGGGGTTGTACCCACCCCAGAGGCCCACGTGGCGGCTAGCACTCCGGT ATTACGGTACCCTTGTGCGCCTGTTTTATACTCCCCTCCCGCAACTTAGAAGCACGAAAC CAAGTTCAATAGAAGGGGGTACAAACCAGTACCACTACGAACAAGCACTTCTGTTTCCCC GGTGACATTGCATAGACTGCTCACGCGGTTGAAAGTGATCGATCCGTTACCCGCTTGTGT ACTTCGAAAAGCCTAGTATCGCCTTGGAATCTTCGACGCGTTGCGCTCAGCACCCGACCC CGGGGTGTAGCTTAGGCTGATGAGTCTGGACATTCCTCACCGGTGACGGTGGTCCAGGCT GCGTTGGCGGCCTACCTATGGCTAACGCCATAGGACGTTAGATGTGAACAAGGTGTGAAG AGCCTATTGAGCTACATAAGAGTCCTCCGGCCCCTGAATGCGGCTAATCCTAACCACGGA ACAGGCGGTCGCGAACCAGTGACTGGCTTGTCGTAACGCGCAAGTCTGTGGCGGAACCGA CTACTTTGGGTGTCCGTGTTTCCTGTTATTTTTATCATGGCTGCTTATGGTGACAATCAG AGATTGTTATCATAAAGCGAATTGGATTGGCCATCCGGTGAGTGTTGTGTCAGGTATACA ACTGTTTGTTGGAACCACTGTGTTAGCTTTACTTCTCATTTAACCAATTAATCAAAAACA ATACGAGGATAAAACAACAATACTACAATGGGCGCCCAAGTTTCATCACAGAAAGTTGGA GCCCACGAAAATTCAAACAGAGCCTATGGCGGGTCCACCATCAATTACACTACAATCAAT TACTATAGGGACTCTGCAAGCAATGCAGCAAGCAAGCAAGATTTTGCACAAGATCCGTCC AAGTTCACCGAACCCATTAAGGACGTCCTTATTAAGACCGCTCCCATGCTAAACTCCCCA AACATTGAGGCGTGTGGTTATAGTGACAGGGTAATGCAGCTAACTCTGGGCAATTCAACG ATCACCACCCAAGAAGCGGCCAATTCTGTTGTTGCCTACGGTAGATGGCCTGAATACATC AGAGATACCGAGGCAAATCCTGTAGACCAACCAACCGAGCCCGATGTAGCCGCGTGCAGG TTCTACACATTAGATACCGTCACTTGGCGCAAGGAGTCCAGAGGGTGGTGGTGGAAACTA CCAGACGCTTTAAAAGACATGGGGTTATTTGGTCAAAACATGTTTTATCACTATCTTGGG AGGGCTGGCTACACAGTGCACGTACAGTGCAATGCTTCAAAGTTTCATCAAGGAGCTCTA GGGGTGTTTGCAGTTCCAGAAATGTGTTTAGCTGGTGATAGCACAACTCACATGTTCACA AAGTACGAGAATGCGAATCCAGGCGAAAAAGGAGGTGAATTCAAAGGGAGTTTCACCCTT GATACCAACGCCACTAACCCTGCACGGAACTTCTGCCCAGTTGATTACCTCTTCGGGAGT GGAGTGCTGGTAGGGAATGCATTTGTTTATCCACATCAAATAATAAACCTGCGCACTAAC AACTGTGCTACGCTAGTATTGCCCTATGTAAACTCACTCTCAATAGATAGCATGACAAAG CACAACAACTGGGGGATCGCTATCCTCCCCCTGGCGCCACTAGACTTTGCCACTGAATCT TCCACTGAGATACCCATTACACTGACCATTGCTCCCATGTGCTGCGAATTCAATGGTTTA CGCAACATCACTGTGCCAAGAACCCAAGGATTACCAGTCCTGAACACTCCAGGGAGTAAC CAGTACCTGACCGCAGACAATTACCAGTCTCCGTGTGCGATACCTGAGTTTGATGTCACT CCACCCATAGACATACCAGGGGAGGTGCGCAACATGATGGAATTGGCGGAAATAGACACC ATGATACCCCTCAACTTGACAAGTCAACGCAAGAACACAATGGACATGTATAGAGTCGAG TTGAGCGACACGGCTCACTCTGACACGCCGATCTTGTGTCTCTCGTTGTCCCCCGCTTCA GACCCCAGATTGGCACACACTATGTTGGGTGAGATATTAAATTACTACACACACTGGGCA GGGTCCTTGAAATTTACCTTTCTCTTTTGCGGCTCAATGATGGCCACCGGAAAGTTATTG GTTTCTTACGCACCACCCGGAGCAGAGGCCCCCAAGAGTCGCAAAGAAGCAATGCTTGGG ACACATGTGATATGGGACATTGGGTTGCAGTCTTCATGCACTATGGTGGTACCTTGGATC AGTAATACCACATACAGACAAACCATCAACGATAGTTTCACAGAAGGTGGCTACATTAGC ATGTTCTATCAAACTAGGGTTGTTGTCCCGTTGTCCACACCCAGAAAGATGGACATCCTG GGTTTTGTGTCAGCTTGCAATGACTTCAGTGTGCGCTTACTGCGAGATACAACACACATT AGTCAAGAGGCTATGCCACAAGGAATTGGTGACATGATTGAGGGGGCCGTTGAAGGGATT ACTAAAAATGCATTGGTTCCCCCGACTTCCACCAATAGCCTGCCTGACACAAAGCCGAGC GGTCCAGCCCACTCCAAGGAGATACCTGCATTGACAGCCGTGGAGACAGGGGCTACCAAT CCGTTGGTGCCTTCGGACACCGTGCAAACGCGCCATGTCATCCAGAGACGAACGCGATCA GAGTCCACGGTTGAGTCATTCTTTGCAAGAGGGGCTTGCGTGGCTATCATTGAGGTGGAC AATGATGCACCGACAAAGCGCGCCAGCAGATTGTTTTCGGTTTGGAAAATAACTTACAAA GATACTGTTCAACTGAGACGCAAACTGGAATTTTTCACATATTCGAGATTTGACATGGAG TTCACTTTTGTGGTCACCTCAAACTACATTGATGCAAATAACGGACATGCATTGAACCAA GTTTATCAGATAATGTATATACCACCCGGAGCACCTATCCCTGGTAAATGGAATGACTAT ACGTGGCAGACGTCCTCTAACCCGTCGGTGTTTTACACCTATGGGGCGCCCCCAGCAAGA ATATCAGTGCCCTACGTGGGAATTGCTAATGCGTATTCCCACTTTTATGATGGGTTTGCA AAAGTACCACTAGCGGGTCAAGCCTCAACTGAAGGCGATTCGTTGTACGGTGCTGCCTCA CTGAATGATTTTGGATCACTGGCTGTTCGCGTGGTAAATGATCACAACCCCACGCGGCTC ACCTCCAAGATCAGAGTGTACATGAAGCCAAAGCATGTCAGAGTCTGGTGCCCACGACCT CCACGAGCAGTCCCATACTTCGGACCAGGTGTTGATTATAAAGATGGGCTCACCCCACTA CCAGAAAAGGGATTAACGACTTATGGATTTGGACACCAAAACAAAGCTGTGTACACAGCT GGCTACAAAATTTGCAATTACCACCTAGCTACACAAGAAGACTTGCAAAATGCCGTGAGT GTCATGTGGAACAGAGACCTCTTAGTGGCTGAATCAAGGGCCCTTGGCACCGACTCGATC GCAAGGTGCAGCTGTAACACGGGTGTGTACTACTGTGAATCCAGGAGAAAATATTATCCA GTTTCTTTCATTGGGCCCACCTTCCAATACATGGAAGCCAATGAATATTACCCGGCTAGA TATCAATCACACATGCTTATTGGTCATGGGTTTGCATCACCGGGTGATTGTGGTGGCATA CTTAGATGTCAACACGGGGTGATAGGAATAATCACTGCTGGTGGGGAAGGCTTGGTTGCA TTTTCAGACATTAGAGACCTGTATGCTTATGAGGAGGAAGCTATGGAGCAGGGCATTTCC AACTATATTGAGTCACTTGGTGCTGCATTTGGTAGTGGATTCACTCAACAAATTGGTGAT AAAGTTTCCGAGCTAACCAGCATGGTAACTAGCACCATTACAGAGAAGTTGCTTAAAAAC TTAATCAAAATTATCTCATCACTTGTGATCATTACCAGGAATTATGAGGACACTACCACA GTGCTTGCCACCCTCGCCCTCCTTGGGTGCGACATCTCACCGTGGCAGTGGCTAAAGAAG AAGGCATGTGACATCCTGGAAATTCCATACGCCATCAAACAAGGAGATAGTTGGTTGAAG AAATTCACTGAGGCATGTAATGCTGCAAAGGGACTGGAGTGGGTGTCCAATAAGATATCC AAATTCATTAGTTGGTTGCAGGATAAAATCATCCCACAAGCGAGAGACAAATTAGAGTTT GTCACTAAACTAAAGCAATTAGAAATGCTTGAAAATCAGATTTCCACCATACACCAATCT TGTCCAAGTCAAGAACATCAGGAGATCTTATTCAACAATGTGCGGTGGCTATCTATCCAG TCCAAGAGGTTTGCACCACTATATGCACATGAAGCTAAAAGGATTCAAAAGCTGGAGCAT ACCATAAATAATTACGTACAGTTCAAGAGCAAGCACCGTATTGAGCCAGTATGTTTGTTA GTACATGGCAGTCCAGGGACAGGAAAATCAGTTGCAACCAATCTAATTGCTAGAGCAATA GCCGAGAAAGAGAACACCTCCACATACTCACTGCCACCTGATCCGTCTCACTTTGATGGC TACAAGCAACAGGGTGTGGTTATTATGGATGACCTAAACCAAAATCCAGACGGAGCAGAC ATGAAACTTTTTTGTCAAATGGTGTCCACTGTGGAGTTTATTCCACCGATGGCCTCGCTA GAAGAGAAAGGCATTTTGTTCACATCTAATTACGTTTTAGCCTCCACCAACTCCAGTCGG ATCACACCACCCACGGTGGCTCACAGTGATGCGCTGGCCAGGAGATTCGCATTTGACGTG GACATACAAGTCATGAGCGAGTACTCCAGAGACGGAAAGCTCAACATGGCAATGGCTACT GAAATGTGCAAAAACTGTCATCAACCAGCAAACTTCAAAAGATGTTGTCCTTTAGTGTGT GGCAAGGCAATTCAGTTAATGGATAAATCTTCCAGGGTTAGATACAGCATTGATCAGATC ACTACAATGATTGTTAATGAGAGAAACAGAAGATCAAACATTGGTAATTGCATGGAAGCT CTATTCCAGGGACCACTGCAGTATAAAGATCTAAAAATAGATGTTAAGACCAGTCCCCCT CCGGAGTGTATCAACGATTTGCTCCAGGCAGTTGATTCCCAGGAAGTGAGAGATTACTGT GAAAAGAAAGGCTGGATTGTTAACATTACCAGTCAGGTTCAAACAGAGAGGAACATCAAC CGGGCGATGACTATCCTACAAGCAGTAACTACTTTCGCTGCAGTAGCCGGTGTCGTGTAC GTTATGTACAAGCTGTTCGCTGGGCACCAGGGTGCATACACTGGTTTGCCAAATAAACGA CCCAATGTACCCACTATCAGGACAGCAAAAGTGCAAGGCCCTGGGTTTGATTACGCAGTG GCCATGGCTAAAAGAAACATTGTTACAGCAACCACCAGCAAAGGGGAGTTTACGATGTTG GGAGTCTATGATAATGTGGCCATCTTGCCAACCCACGCCTCACCTGGTGAAAGCATTGCG ATCGACGGTAAAGAGGTGGAAATTCTTGACGCCAAAGCCCTTGAAGATCAGGCAGGAACT AATCTTGAAATTACCATAATTACACTAAAGAGGAACGAGAAGTTCAGAGATATCAGGCCA CACATTCCCACCCAAATCACCGAAACAAATGATGGAGTTTTGATCGTGAACACTAGTAAG TACCCCAACATGTATGTTCCCGTTGGTGCTGTGACCGAACAGGGGTATCTTAATCTCGGT GGACGACAAACCGCTCGTACGCTAATGTACAACTTTCCAACTAGAGCAGGTCAGTGTGGT GGTGTCATCACGTGCACTGGTAAAGTCATTGGGATGCATGTTGGTGGGAACGGTTCACAT GGGTTCGCGGCGGCCCTAAAGCGGTCATACTTCACTCAGATTCAAGGTGAGATTCAATGG ATGAAACCATCAAAAGAAGTGGGATACCCGATCATAAATGCTCCGTCCAAAACCAAACTT GAACCCAGCGCTTTTCACTATGTGTTTGAAGGGGTGAAGGAACCAGCAGTCCTTACCAAA AATGATCCCAGGCTCAGGACAGACTTTGAAGAAGCAATATTCTCTAAGTATGTAGGCAAC AAGATCACTGATGTGGATGAGTACATGAAAGAGGCAGTGGATCATTACGCTGGCCAACTC ATGTCTCTAGACATCAACACAGAACAAATGTGCTTGGAGGACGCCATGTACGGCACCGAT GGCCTGGAAGCACTTGACTTGACCACTAGTGCTGGATACCCTTATGTAGCAATGGGAAAG AAAAAGAGAGACATCTTGAATAAGCAGACTAGAGACACCAAGGAAATGCGGAGACTCTTA GATACTTATGGAATTAACTTACCGCTTGTAACATATGTTAAAGATGAACTAAGGTCAAAA ACTAAGGTGGAGCAGGGAAAATCCAGATTGATTGAAGCCTCCAGTTTGAATGATTCAGTG GCCATGAGAATGGCATTTGGAAATCTCTATGCAGCATTTCACAAAAACCCAGGAGTTGTC ACTGGCAGTGCAGTTGGTTGTGATCCAGATCTATTTTGGAGCAAGATCCCAGTGCTAATG GAAGAGAAGCTCTTTGCTTTTGACTACACAGGTTATGATGCATCACTCAGCCCGGCCTGG TTTGAGGCACTCAAAATGGTGCTAGAGAAAATCGGATTTGGGGACAGGGTGGATTATATT GATTACCTCAACCATTCCCACCACCTGTACAAAAACAAAACTTATTGCGTAAAAGGCGGC ATGCCATCTGGCTGCTCAGGCACATCAATTTTTAACTCAATGATTAACAACTTAATCATT AGGACACTCCTACTGAAAACCTACAAGGGCATAGATTTAGATCACCTAAAGATGATTGCC TATGGTGATGATGTAATTGCTTCCTACCCCCATGAGGTTGATGCTAGTCTCCTAGCCCAA TCAGGAAAAGACTATGGACTAACCATGACTCCAGCAGACAAGTCAGCTACCTTTGAAACA GTCACATGGGAGAATGTAACATTCTTGAAAAGATTCTTTAGAGCGGATGAGAAGTATCCC TTCCTCATACATCCAGTAATGCCAATGAAGGAGATTCATGAATCAATTAGATGGACAAAG GATCCCAGAAACACACAGGATCACGTGCGCTCATTGTGCCTATTGGCCTGGCACAACGGC GAAGAAGAATACAACAAGTTCTTAGCTAAAATCAGGAGTGTGCCAATTGGGAGAGCTTTA TTGCTCCCAGAGTACTCTACATTGTACCGCCGTTGGCTCGACTCTTTTTAGTAACCCTAC CTCAGTCGAATTGGATTGGGTCATGCTGTTGTAGGGGTAAATTTTTCTTTAATTCGGGG >KM609478.1 Coxsackievirus A8 isolate CVA8/SZ141/CHN/2012, complete genome TTAAAACAGCCTGTGGGTTGCACCCACTCACAGGGCCCACTGGGCGCTAGCACTCTGATT CTACGGAATCTTTGTGCGCCTGTTTTATAACCCCCTCCCCCAATGTAATTTAGAAGCAAT GCACCAATGATCAACAGCAGGCGTGGCGCACCAGCCATGTCTCGATCAAGCACTTCTGTT TCCCCGGACAGAGTATCAATAGACTGCTCGCGTGGTCGAAGGAGAAAACGTCCGTTACCC GGCTAACTACTTCGAGAAACCTAGTAGCACCAATGAAGCTGCAGAGCGTTTCGCTCAGCA CTTACCCCGTGTAGATCAGGCCGATGAGTCACTGCGTTCCCCACGGGCGACCGTGGCAGT GGCTGCGTTGGCGGCCTGCCTATGGGGTCACCCATAGGACGCTCTAATGTGGACATGGTG CGAAGAGTCTATTGAGCTAGTTAGTAGTCCTCCGGCCCCTGAATGCGGCTAATCCTAACT GCGGAGCGCATACCCTCAAACCAGGGGGTGGTGCGTCGTAACGGGTAACTCTGCAGCGGA ACCGACTACTTTGGGTGTCCGTGTTTCCTTTTATTCTCTTAATGGCTGCTTATGGTGACA ATTGAGGAATTGTTACCATATAGCTATTGGATTGGCCATCCGGTGTGTAACAGAGCAATT ATCTACTTGTTTGCAGGATTTACCCCATTAACGTTCAAATCTCTTAACACACTACAGTAC ATACTAACCTTGAATACAAGAAAATGGGAGCACAAGTTTCGACTCAAAAGTCTGGTAGCC ACGAGACTGGCAACATAGCCACTGAAGGGTCCACCATTAACTTTACTAACATCAATTATT ACAAGGACTCGTACGCCGCCTCGGCTAGCAAACAGGACTTCACCCAGGATCCTACTAGGT TTACTAGCCCTGTGCTTGATGCGCTGAGGGAAGTGGCACCTCCATTAAAGTCACCCTCAG TGGAAGCGTGCGGATACAGTGATAGAGTAGCGCAGTTGACTGTCGGCAATTCAACAATCA CCACACAAGAGGCTGCTAACATAGTCCTTGCTTACGGGGAATGGCCTGAGTACTGTCCCG ACAAAGACGCCACCGCTGTAGATAAGCCTACACGCCCCGATGTGTCGGTTAATAGATTCT ACACCATGTCTACGCAAATGTGGCAGGACACCTCGAAAGGGTGGTACTGGAAGTTCCCAG ATGTTCTTACCAAGACTGGTGTCTTTGGACAAAATGCCCAGTATCACTATTTGTACAGAT CTGGATTTTGCATACATGTCCAATGCAACGCTAGTAAATTCCATCAAGGAGCACTGTTAG TGGCTGCCATCCCAGAGATGGTGTTAGGATCCAATAGCTCAGATCCCAAGCCCAACACTG CAAAGCACCCTGAATTCACTACAACAATGCCAGGTGCTAATGGTGGAATTTTTGAAAATC CCTATATCTTGGACATGGGGGTTCCCTTGAGCCAAGCTTTGGTGTTTCCACACCAATGGA TCAACCTGCGCACTAACAACTGTGCGACCATTATAGTGCCTTATATTAATGCTGTTCCAT TTGATTCAGCCATTAACCACAACAACTTCACGCTAGTCGTAATTCCGATTAGCCCGTTAA AATACTGCACAGGAGCGACAACAGCCATCCCTATAACAGTAACGATAGCCCCATTAAATT CTGAATTTTGTGGGTTGAGGCAAGCTACATCGCAGGGAATACCAGTGGAGCTAAAACCCG GCACCAATCAATTTTTGACAACTGATAACGAAGTCTCCGTACCAATCTTACCTGGTTTCC AGCCTACACCGGTTATACATATACCAGGGGAGGTGAACAACCTCCTGGAGCTCTGCCAGG TTGAATCTATCTTGGAGGTCAATAATGTGACTGGACAAGAAGGGATAAACCGACTCCTTA TCCCAGTTTCTACACAAAGTGACAAGGATACTTTGTGTGCATCACTCAGAGTCGATCCAG GTAGGGACGGACCGTGGCAATCTACTTTAGTTGGGCAAATATGTAGGTATTACACCCAGT GGTCTGGTTCATTAGAGATCACATTCATGTTTACTGGTTCATTCATGGCAACCGGTAAAA TGCTGATAGCTTACTCCCCGCCTGGGAGTGCGCAACCAACAACAAGAGACCTGGCAATGC TCGGCACGCACGTAGTGTGGGATTTTGGGTTGCAATCATCTATTACTCTTGTGATCCCAT GGATCAGCAACACACACTTCAGAACAGGCAAGGTGGGTGGTTACTTTGATTACTATGCGT CTGGTATAGTAACTATTTGGTATCAGACAAACTTCGTCGTGCCCCCCGACACGCCGAGTC AGGCTCATATAATAGCGTTGGGAGCTGCCCAGAAGAATTTCACGCTTAAACTGTGCAAGG ATACAGATGAGGTAACACAACAAGCAGTGTTGCAGGGGGACCCCATTGAAGACATAATAA CTAGCACAGTCTCCCGCACATTGCAGCAAATTAGCACTCCAACACATAGCACTACTGCAG CAAACACCTCTGTGAGTAACCATAAGATAGGCACTGGAGATGTTCCAGCTCTCCAAGCTG CGGAGACAGGTGCTACCTCTAACGCCTCGGATGAGAACATGATCGAGACACGCTGCGTGC TAAATCGCAATGGAGTCGTGGAAACCAGTCTGGACCACTTCTTCTCAAGAGCAGGTCTGG TGGGGGTGATCAATGTGCAAGATGGTAGTACACAGAAGGGATTTGAGGTGTGGGATGTGG ATGTGATGGGGTTTGTACAGCTCAGAAGGAAGTTGGAAATGTTTACATACATGAGATTCA ATGCTGAGTTTACATTTGTGTCCACACTTGCAGACGGCACGACTCCCAGGGTGATGTTAC AGTACATGTATGTTCCACCTGGTGCCCCCAAACCTCAAGAGAGGGATTCATTCCAATGGC AAACAGCGACCAACCCGTCAGTGTTCTGCAAAATGAGCGATCCTCCCCCACAAGTCTCTG TCCCTTTCATGTCGCCAGCCAGCGCGTACCAGTGGTTCTATGATGGATATCCTACATTTG ATGATCGACCTGCCACCTCAAATCACCCGTATGGACAGTGCCCTAATAACATGATGGGCA CATTTGCAGTGCGATTTGTCAGCAAGACCCCTGCTATACGGGACTTGCGTGTTAGGGTAT ATATGCGCCTCAAACACGTGCGCGCTTGGGTACCGAGGCCCATACGATCCCAAGCATACA TCTTAAAGAACTATCCAAACTATGACGGGACAAATATAACACCAACATCCAAGGACAGGC AAAGCATCAAAACGACTGGGAAATTTGGTCAGCAGTCCGGTGCTATTTATGTGGGCAATT ACAGAGTAGTTAACAGACACCTTGCCACACACAATGACTGGGCCAACTTAGTATGGGAAG ACAGCTCCAGGGATCTCCTTGTGTCATCCACGACTGCTCAAGGATGTGACATCATTGCTC GTTGCAATTGCCAGACTGGAGTGTATTACTGTAACTCCCAAAGAAAACACTACCCAGTTA GCTTTTCAAAGCCTAGCCTGATCTATGTGGAAGCTAGTGAGTATTACCCAGCTAGGTATC AATCTCACCTTATGCTCGCACAAGGACACTCAGAACCTGGCGATTGTGGTGGTATCCTCA GGTGCCAACACGGCGTTGTCGGCATAGTGTCCACTGGTGGTGACGGACTCGTCGGCTTCG CAGATGTCAGGGATCTCCTTTGGTTAGATGAGGAGGCGATGGAGCAAGGTGTGTCTGATT ACATCAAGGGACTCGGTGATGCATTTGGAACTGGCTTCACTGATGCTGTCTCTAGAGAAG TGGAGGCCCTTAAAAACCACCTAATTGGTTCTGAAGGAGCTGTTGAGAAAATCCTCAAGA ATTTGATCAAGTTAATCTCTGCTCTTGTCATTGTGATTAGGAGTGATTATGACATGGTCA CCCTTACAGCAACTCTAGCTTTAATCGGGTGTCACGGTAGTCCTTGGGCATGGATTAAAA CAAAGACAGCATCTATTTTAGGCATCCCTATCGCTCAAAAGCAGAGCGCCTCYTGGCTTA AAAAGTTCAACGATATGGCCAACGCTGCCAAGGGATTGGAATGGGTTTCTAACAAGATCA GCAAATTCATCGATTGGCTCAAGGAAAAAATCATACCAGCAGCCAAGGAGAAGGTCGAGT TTTTAAATAACTTGAAACAGTTACCACTGCTAGAGAACCAAATCTCTAATCTGGAACAAT CTGCTGCCTCACAAGAGGACCTTGAAGTTATGTTTGGGAATGTGTCATATCTAGCTCACT TCTGTCGTAAGTACCAGCCACTATACGCTACAGAAGCCAAAAGAGTCTACACTCTAGAGA AGAGGATGAACAACTACATGCAGTTCAAGAGCAAACACCGTATTGAACCTGTATGTCTTA TTATCAGGGGTTCACCGGGCACTGGGAAGTCTTTAGCAACTGGCATCATTGCTCGAGCGA TAGCTGATAAGTATCACTCCAGTGTCTATTCACTCCCACCAGACCCAGACCACTTTGATG GGTACAAGCAGCAAGTGGTTACAGTCATGGATGATCTATGTCAAAATCCTGACGGCAAAG ATATGTCACTGTTTTGCCAAATGGTGTCTACCGTGGACTTCATTCCTCCAATGGCTTCCT TAGAAGAGAAGGGGGTCTCTTTCACATCTAAGTTCGTCATTGCATCCACTAATGCTAGTA ATATCATAGTGCCAACAGTATCTGATGCAGACGCCATTCGCCGCAGGTTCTATATGGATT GTGACATTGAAGTAACAGACTCATATAAAACAGACCTGGGTAGGTTGGATGCCGGGCGAG CAGCCAAATTGTGTTCTGAGAACAACACAGCAAATTTCAAGCGTTGCAGCCCATTAGTGT GTGGAAAGGCTATTCAATTAAGAGATAGGAAATCTAAGGTCAGATACAGCGTGGACACAG TGGTCTCTGAACTCATAAGAGAGCATAATAACAGATCCGCCATTGGTAACACAATTGAGG CTTTGTTCCAGGGCCCACCCAAATTTAGACCCATAAGGATTAGTCTTGAAGAAACGCCAG CTCCAGATGCTATTAGTGATCTTCTCACTAGTGTGGATAGCGAAGAGGTACGTCAATACT GTAGGGATCAAGGTTGGATTATTCCGGAAACCCCTACAAATGTTGAACGACACCTCAACA GAGCTGTGTTGATTATGCAATCCATCGCCACGGTAGTGGCGGTTGTCTCATTGGTGTACG TCATCTATAAACTCTTTGCTGGGTTCCAGGGCGCATATTCTGGTGCCCCCAAGCAAACGC TTAAGAAACCTGTTCTCCGCACAGCAACAGTGCAGGGTCCAAGCCTTGATTTTGCCCTAT CACTATTGAGAAGAAACATCAGGCAAGTGCAGACAGATCAAGGGCACTTCACCATGCTGG GTATCAGAGATCGCTTGGCTATCCTCCCGCGACATTCTCAACCTGGAAGGACTATCTGGG TGGAACACAAACTCGTGAACGTCCTGGATGCTATCGAGCTGGTGGATGAACAAGGGGTCA ACTTAGAGCTGACCTTAATCACCCTCGACACCAATGAGAAATTCAGGGATATCACCAAGT TCATTCCAGAAACCATTAGTGGTGCCAGCGATGCCACCTTAGTGATCAATACAGAGCACA TGCCCTCAATGTTTGTGCCAGTAGGTGATGTTGTACAGTATGGCTTCCTAAATCTCAGCG GGAAACCGACTCATCGCACTATGATGTATAACTTCCCTACTAAGGCAGGACAATGTGGAG GGGTAGTCACATCAGTTGGAAAGATCATTGGCATTCATATAGGAGGTAATGGTAGGCAGG GATTCTGTGCGGGACTCAAGAGAAGCTACTTTGCTAGTGAACAGGGAGAGATCCAATGGG TTAAACCTAACAAAGAAACAGGAAGACTCAACATCAATGGACCAACTCGCACCAAGCTCG AGCCTAGTGTGTTTCATGATGTCTTTGAGGGTGACAAGGAGCCAGCAGTCTTGCATAGTA AGGACCCCCGCCTTGAGGTGGACTTCGAGCAAGCATTGTTCTCCAAGTACGTGGGGAACA CACTACACGAACCTGATGAGTATATCAGGGAGGCAGCCCTCCACTATGCGAACCAATTAA AGCAGCTAGACATAAATACCTCCCAGATGAGCATGGAGGAGGCCTGTTATGGCACAGAAA ACCTTGAGGCTATTGACCTTCACACTAGTGCGGGATACCCCTATAGCGCGCTGGGAATAA AAAAGAGGGATATCTTAGACCCCATTACCAGAGATGTGAGCAAGATGAAGTTCTATATGG ATAAGTACGGTCTTGACCTCCCTTACTCCACCTATGTCAAAGATGAACTTCGCTCAATAG ATAAGATTAAGAAGGGGAAGTCTCGCTTGATTGAAGCTAGCAGCTTGAATGACTCGGTCT ACCTTAGAATGGCCTTTGGGCACCTCTATGAAGCTTTCCATGCGAACCCTGGCACTGTGA CTGGCTCAGCTGTGGGGTGTAACCCAGATGTATTTTGGAGCAAGCTACCAATCCTGCTTC CTGGTTCCCTCTTCGCTTTTGACTACTCAGGTTACGATGCTAGCCTCAGCCCAGTTTGGT TCAGAGCGTTGGAATTAGTCCTTAGAGAGATAGGTTATGGTGATGAGGCAGTCTCACTCA TTGAAGGAATCAACCATACACACCATGTGTACCGTAACAAAACCTACTGCGTACTTGGTG GAATGCCCTCAGGTTGCTCAGGGACATCCATCTTCAACTCAATGATTAATAACATCATCA TCAGAGCACTACTTATTAAAACATTCAAGGGCATTGATCTGGATGAACTCAACATGGTTG CCTACGGGGACGATGTGCTCGCTAGTTACCCCTTTCCAATTGACTGCCTGGAGCTAGCAA AGACAGGTAAGGAGTATGGCCTAACCATGACCCCTGCAGACAAGTCCCCTTGCTTCAATG AAGTTAATTGGGAAAATGCAACCTTCCTCAAGAGAGGCTTCTTGCCTGATGAGCAATTCC CGTTTTTGATCCACCCCACCATGCCAATGAAGGAGATTCATGAATCCATTCGGTGGACCA AGGATGCACGCAATACTCAAGATCACGTGCGGTCTCTATGTCTGTTGGCATGGCATAACG GTAAGCAAGAATATGAAAAATTTGTGAGCTCAATTAGATCCGTCCCAGTAGGAAAAGCAT TGGCAATCCCCAACTATGAAAATCTGAGACGTAATTGGCTCGAATTGTTTTAGAGGTTGG ACAAACGACTCAACCCCACCAGAAATCTGGTCGTGAATGTGACTGGTGGGGGTAAATTTG TTATAACCAGAATAGC ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/library/prelim_map.txt ================================================ ACCNUM NC_004102.1 NC_004102 ACCNUM EU255973.1 EU255973 ACCNUM KJ207374.1 KJ207374 ACCNUM AY184220.1 AY184220 ACCNUM KM609478.1 KM609478 ACCNUM NC_002058.3 NC_002058 ACCNUM NC_002692.1 NC_002692 ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/accession2taxid/nucl_est.accession2taxid ================================================ accession accession.version taxid gi ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/accession2taxid/nucl_gb.accession2taxid ================================================ accession accession.version taxid gi NC_002058 NC_002058.3 138950 12408699 NC_002692 NC_002692.1 12253 13357204 NC_004102 NC_004102.1 11103 22129792 AY184220 AY184220.1 12083 27085398 EU255973 EU255973.1 31646 190684443 KJ207374 KJ207374.1 12253 612340474 KM609478 KM609478.1 42788 743485545 ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/accession2taxid/nucl_gss.accession2taxid ================================================ accession accession.version taxid gi ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/accession2taxid/nucl_wgs.accession2taxid ================================================ accession accession.version taxid gi ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/accession2taxid/pdb.accession2taxid ================================================ accession accession.version taxid gi 5HQL_A 5HQL_A 1 1134776119 5HQL_B 5HQL_B 1 1134776120 5HQL_C 5HQL_C 1 1134776121 5HQL_D 5HQL_D 1 1134776122 5HQL_E 5HQL_E 1 1134776123 5HQL_F 5HQL_F 1 1134776124 ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/accession2taxid/prot.accession2taxid ================================================ accession accession.version taxid gi NP_041277 NP_041277.1 138950 9627037 NP_078447 NP_078447.1 12253 13357205 NP_078446 NP_078446.1 12253 13357206 NP_078448 NP_078448.1 12253 13357207 NP_078449 NP_078449.1 12253 13357208 NP_671491 NP_671491.1 11103 22129793 NP_803170 NP_803170.1 11103 28921567 ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/delnodes.dmp ================================================ ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/gi_taxid_nucl.dmp ================================================ ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/gi_taxid_prot.dmp ================================================ 1134776119 1 1134776120 1 1134776121 1 1134776122 1 1134776123 1 1134776124 1 ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/merged.dmp ================================================ ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/names.dmp ================================================ 1 | all | | synonym | 1 | root | | scientific name | 10239 | Vira | | synonym | 10239 | Viridae | | synonym | 10239 | Viruses | | scientific name | 10239 | viruses | viruses | blast name | 11050 | Flaviviridae | | scientific name | 11050 | Flavivirus (arbovirus group B) | | synonym | 11102 | Hepacivirus | | scientific name | 11102 | Hepatitis C virus group | | synonym | 11102 | Hepatitis C viruses | | synonym | 11102 | Hepatitis C-like viruses | | synonym | 11103 | HCV | | acronym | 11103 | Hepatitis C | | misnomer | 11103 | Hepatitis C virus | | scientific name | 11103 | hepatitis C virus HCV | | synonym | 11103 | human hepatitis C virus | | synonym | 11103 | human hepatitis C virus HCV | | synonym | 11103 | human hepatitis virus C HCV | | synonym | 11103 | human hepatitis virus HCV | | misnomer | 11103 | post-transfusion hepatitis non A non B virus | | synonym | 12058 | Picormavirus | | misspelling | 12058 | Picornaviridae | | scientific name | 12058 | Picornavirus | | synonym | 12059 | Enterovirus | | scientific name | 12059 | Enteroviruses | | synonym | 12059 | Rhinovirus | | includes | 12059 | Rhinoviruses | | includes | 12059 | common cold viruses | | includes | 12083 | HPV-2 | | acronym | 12083 | Human Poliovirus type 2 | | synonym | 12083 | Human poliovirus 2 | | scientific name | 12083 | Poliovirus 2 | | synonym | 12083 | Poliovirus type 2 | | synonym | 12234 | Tobamoviridae | | synonym | 12234 | Tobamovirus | | scientific name | 12253 | Tomato mosaic virus | | scientific name | 31646 | Hepatitis C virus subtype 1a | | scientific name | 31646 | Hepatitis C virus type 1a | | synonym | 35278 | ssRNA positive-strand viruses, no DNA stage | | scientific name | 41856 | Hepatitis C virus 1 | | synonym | 41856 | Hepatitis C virus genotype 1 | | scientific name | 41856 | Hepatitis C virus type 1 | | synonym | 41856 | hepatitis C virus 1 HCV 1 | | synonym | 42788 | CV-A8 | | genbank acronym | 42788 | Coxsackievirus A8 | | scientific name | 42788 | Human coxsackievirus A8 | | synonym | 138948 | Coxsackievirus A | | synonym | 138948 | Enterovirus A | | scientific name | 138948 | Enterovirus EV-A | | synonym | 138948 | Human coxsackievirus A | | synonym | 138948 | Human enterovirus A | | synonym | 138950 | Enterovirus C | | scientific name | 138950 | Enterovirus EV-C | | synonym | 138950 | Human enterovirus C | | synonym | 138950 | Poliovirus | | synonym | 439488 | ssRNA viruses | | scientific name | 464095 | Picornavirales | | scientific name | 675071 | Virgaviridae | | scientific name | ================================================ FILE: tests/input/TestMetagenomicsViralMix/db/taxonomy/nodes.dmp ================================================ 1 | 1 | no rank | | 8 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | | 10239 | 1 | superkingdom | | 9 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | | 11050 | 35278 | family | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 11102 | 11050 | genus | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 11103 | 11102 | species | HC | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 12058 | 464095 | family | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 12059 | 12058 | genus | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 12083 | 138950 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 12234 | 675071 | genus | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 12253 | 12234 | species | TM | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 31646 | 41856 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 35278 | 439488 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 41856 | 11103 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 42788 | 138948 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | | 138948 | 12059 | species | EA | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 138950 | 12059 | species | EC | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 439488 | 10239 | no rank | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 464095 | 35278 | order | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | 675071 | 35278 | family | | 9 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | | ================================================ FILE: tests/input/TestMinimap2Idxstats/multi-viral-refs.fasta ================================================ >EU255973.1 Hepatitis C virus subtype 1a isolate HCV-1a/US/BID-V180/1990, complete genome GAGCCATGGCGTTAGTATGAGTGTCGTGCAGCCTCCAGGACCCCCCCTCCCGGGAGAGCC ATAGTGGTCTGCGGAACCGGTGAGTACACCGGAATTGCCAGGACGACCGGGTCCTTTCTT GGATAAACCCGCTCAATGCCTGGAGATTTGGGCGTGCCCCCGCAAGACTGCTAGCCGAGT AGTGTTGGGTCGCGAAAGGCCTTGTGGTACTGCCTGATAGGGTGCTTGCGAGTGCCCCGG GAGGTCTCGTAGACCGTGCACCATGAGCACGAATCCTAAACCTCAAAGAAAAACCAAACG TAACACCAACCGTCGCCCACAGGACGTCAAGTTCCCGGGTGGCGGTCAGATCGTTGGTGG AGTTTACTTGTTGCCGCGCAGGGGCCCTAGATTGGGTGTGCGCGCGACGAGGAAGACTTC CGAGCGGTCGCAACCTCGAGGTAGACGTCAGCCTATCCCCAAGGCACGTCGGCCCGAGGG CAGGACCTGGGCTCAGCCCGGGTATCCTTGGCCCCTCTATGGCAATGAGGGTTGCGGGTG GGCGGGATGGCTCCTGTCTCCCCGAGGCTCTCGGCCTAGTTGGGGCCCCACAGACCCCCG GCGTAGGTCGCGCAATCTGGGTAAGGTCATCGATACCCTTACGTGCGGCTTCGCCGACCT CATGGGGTACATACCGCTCGTCGGCGCTCCTCTTGGAGGCGCTGCCAGGGCTCTGGCGCA TGGCGTCAGGGTTCTGGAAGACGGCGTGAACTATGCAACAGGGAACCTTCCTGGTTGCTC TTTCTCTATCTTCCTTCTGGCCCTACTCTCTTGCCTGACCGTGCCCGCCTCAGCCTACCA AGTGCGCAACTCCTCGGGGCTTTACCATGTCACCAATGATTGCCCTAACTCGAGTATTGT GTACGAGGCGGCCGATGCCATCCTGCACACTCCGGGGTGTGTCCCTTGCGTTCGCGAGGG TAACGCCTCGAGGTGTTGGGTGCCGGTGACCCCCACGGTGGCCACCAGGGACGGCAAGCT CCCCACAACGCAGCTTCGACGTCATATCGATCTGCTCGTCGGGGGCGCCACCCTCTGCTC GGCTCTCTACGTGGGGGACCTGTGCGGGTCTGTCTTTCTTGTCGGCCAGCTGTTTACCCT CTCTCCCAGGCGCCACTGGACGACGCAGGGCTGTAATTGTTCTATCTATCCCGGCCATAT AACGGGTCACCGCATGGCATGGGATATGATGATGAACTGGTCCCCTACAACGGCGTTGGT GGTAGCTCAGCTGCTCCGGATCCCACAAGCCATCATGGACATGATCGCTGGTGCTCACTG GGGAGTCCTGGCGGGCATAGCGTACTTCTCCATGGTGGGGAACTGGGCGAAGGTCCTGGT AGTGCTACTGCTATTTGCCGGCGTCGACGCGGAAACCCACGTCACCGGGGGAAGTGCCGG CCGCACCGTGGCTGGGCTTACTGGTCTCTTCGCACCAGGCGCCAGACAGAACATCCAACT GATCAACACCAACGGCAGTTGGCACATCAATAGCACGGCCTTGAACTGCAATGATAGCCT TCAAACCGGCTGGATAGCAGGCCTCTTCTATCACCACAAATTCAACTCTTCAGGCTGTTC CGAGAGGTTGGCCAGCTGCCGACGCCTTACTGATTTTGCCCAGGGCTGGGGCCCCATCAG TTATGCCAACGGAAGCGGCCCCGACGAGCGTCCCTACTGCTGGCACTACCCCCCAAGACC TTGTGGTATTGTGCCCGCAAGGAGCGTGTGTGGCCCGGTATATTGCTTCACTCCCAGCCC CGTGGTGGTGGGAACGACCGACAGGTCGGGTGCGCCTACCTACAACTGGGGTGAAAATGA TACGGACGTTTTCGTCCTCAACAACACCAGGCCACCGCTGGGCAATTGGTTCGGTTGCAC CTGGATGAACTCGACTGGATTCACCAAAGTGTGCGGAGCGCCCCCTTGTGTCATCGGAGG GGTGGGCAATAACACCTTGCGCTGCCCCACTGATTGCTTCCGCAAGCATCCGGAAGCCAC ATACTCTCGGTGCGGCTCCGGTCCCTGGATTACACCCAGGTGCATGGTCGACTACCCGTA TAGGCTTTGGCATTACCCTTGTACCATCAACTACACCATATTCAAAGTCAGGATGTACGT GGGAGGGGTCGAGCACAGGCTGGAAGCTGCCTGCAACTGGACGCGGGGCGAACGCTGCGA TCTGGAAGACAGGGACAGGTCCGAGCTCAGCCCATTGCTGCTGTCCACCACACAGTGGCA GGTTCTTCCGTGTTCTTTCACGACCCTGCCAGCCTTGTCCACCGGCCTCATCCACCTCCA CCAGAACATCGTGGACGTGCAGTACTTGTACGGGGTAGGGTCAAGCATTGCGTCCTGGGC CATTAAGTGGGAGTATGTCGTTCTCCTGTTCCTTCTGCTTGCAGACGCGCGCGTCTGCTC CTGCTTGTGGATGATGTTACTCATATCCCAAGCGGAGGCGGCTTTGGAGAACCTCGTAAT ACTCAATGCAGCATCCCTGGCCGGGACGCACGGTCTTGTGTCCTTCCTAGTGTTCTTCTG CTTTGCGTGGTATCTGAAGGGTAGGTGGGTGCCCGGAGCGGCATACGCCTTCTACGGGAT GTGGCCTCTCCTCCTGCTCCTGCTGGCGTTGCCTCAACGGGCATACGCACTGGACACGGA GGTGGCCGCGTCGTGTGGCGGCGTTGTTCTTGTCGGGTTAATGGCGCTGACTCTGTCACC ATATTACAAGCGCCACATCGGCTGGTGCTTGTGGTGGCTTCAGTATCTTCTGACCAGAGT AGAAGCGCATCTGCACGTGTGGGTTCCCCCCCTCAACGTTCGAGGGAGGCGCGATGCCAT CATCTTGCTCATGTGTGCTGTACACCCGACTTTGGTATTTGACATCACCAAACTACTGCT GGCCGTCTTCGGACCCCTTTGGATTCTCCAAGCCAGTTTGCTCAAAGTCCCCTACTTCGT GCGCGTTCAAGGCCTCCTCCGGATCTGCGCGCTAGCGCGGAAGATGGTCGGGGGTCATTA CGTGCAGATGGCCATCATCAAGTTAGGGGCGCTTACTGGTACCTATGTTTACAACCACCT CACTCCTCTTCGGGACTGGGCGCACAACGGCCTGCAAGATCTGGCCGTGGCTGTGGAACC TGTCGTCTTCTCCCCAATGGAGACCAAGCTCATCACGTGGGGGGCGGACACCGCCGCGTG CGGCGACATCATCGACGGCTTGCCCGTCTCCGCCCGTAGGGGCCAGGAGATACTGCTTGG ACCAGCCGACGGAATGGTCTCCAAGGGGTGGAGGTTGCTGGCGCCCATCACGGCGTACGC CCAGCAGACGAGAGGCCTCCTAGGGTGTATAATCACCAGCCTGACTGGCCGGGACAAGAA CCAAGTGGAGGGTGAGGTCCAGATCGTGTCAACCGCTGCCCAAACTTTCCTGGCAACGTG CATCAATGGGGTATGCTGGACTGTCTACCACGGGGCCGGAACGAGGACCATCGCATCACC CAAGGGTCCTGTTATCCAGATGTATACCAATGTGGACCAAGACCTCGTGGGCTGGCCCGC TCCTCCAGGTTCCCGCTCATTAACACCCTGCACCTGCGGCTCCTCGGACCTCTACCTGGT CACGAGGCACGCCGATGTCATTCCCGTGCGCCGGCGGGGTGATAGCAGGGGCAGCCTGCT TTCGCCCCGGCCCATCTCCTACTTGAAAGGCTCCTCGGGGGGTCCGCTGTTGTGCCCCGC GGGACACGCCGTGGGCATATTCAGGGCCGCGGTGTGCACCCGTGGAGTGGCTAAAGCGGT GGACTTTATCCCTGTGGAGAACCTAGAGACAACCATGAGATCCCCGGTGTTCACGGACAA CTCCTCTCCACCAGCAGTGCCCCAGAGCTTCCAGGTAGCCCACCTGCATGCTCCCACCGG CAGCGGTAAGAGCACCAAGGTTCCGGCTGCGTACGCAGCTCAAGGCTACAAGGTGCTGGT GCTCAACCCCTCTGTTGCTGCAACACTGGGCTTTGGTGCTTACATGTCCAAGGCCCATGG GGTCGATCCTAACATCAGGACTGGGGTGAGAACAATTACCACTGGCAGCCCCATCACGTA CTCCACCTACGGCAAGTTCCTTGCCGACGGCGGGTGCTCAGGGGGTGCTTATGACATAAT AATTTGTGACGAGTGCCACTCCACGGATGCTACATCCATCTTGGGCATCGGCACTGTCCT TGACCAAGCAGAGACTGCGGGGGCGAGACTGGTTGTGCTCGCCACTGCTACTCCTCCGGG CTCCGTCACTGTGCCCCATCCTAACATCGAGGAGGTTGCTCTGTCCACCACCGGAGAGAT CCCTTTTTACGGCAAGGCTATTCCCCTCGAGGTGATCAAGGGGGGAAGACATCTCATCTT CTGTCACTCAAAGAAGAAGTGCGATGAGCTCGCCGCAAAGCTGGTCGCGTTGGGCGTCAA TGCCGTGGCCTACTACCGCGGTCTCGACGTGTCTGTCATCCCGACCAGCGGCGATGTTGT CGTCGTGGCGACCGATGCTCTCATGACTGGCTATACCGGCGACTTCGACTCTGTGATAGA CTGCAACACGTGTGTCACCCAGACAGTCGATTTCAGCCTTGACCCTACCTTCACCATTGA GACAACCACGCTCCCCCAGGATGCTGTCTCCCGGACTCAACGTCGGGGCAGGACTGGCAG GGGGAAGCCAGGCATCTACAGATTTGTGGCACCGGGGGAGCGCCCCTCGGGCATGTTCGA CTCGTCCGTCCTCTGTGAGTGCTATGACGCGGGCTGTGCTTGGTATGAGCTCACGCCCGC CGAGACTACAGTTAGGCTACGAGCGTACATGAACACCCCGGGGCTTCCCGTGTGCCAGGA CCATCTTGAATTTTGGGAGGGCGTTTTTACGGGCCTCACTCATATAGATGCCCACTTTCT ATCCCAGACAAAGCAGAGTGGGGAGAACTTTCCTTACCTGGTAGCGTACCAAGCCACCGT GTGCGCTAGGGCTCAAGCCCCGCCCCCATCGTGGGACCAGATGTGGAAGTGTTTGATCCG TCTCAAGCCCACCCTCCATGGGCCAACACCCCTGCTATACAGACTGGGCGCTGTTCAGAA TGAAGTTACCCTGACGCACCCAATCACCAAATACATCATGACATGCATGTCGGCTGACCT GGAGGTCGTCACGAGCACCTGGGTGCTCGTTGGCGGCGTCCTGGCTGCTTTGGCCGCGTA TTGCCTGTCAACAGGCTGCGTGGTCATAGTGGGCAGGATTGTCTTGTCCGGGAAGCCGGC AGTTATACCTGACAGGGAGGTTCTCTACCGGGAGTTCGATGAGATGGAAGAGTGCTCTCA GCACTTACCGTACATCGAGCAAGGGATGATGCTCGCCGAGCAGTTCAAGCAGAAGGCCCT CGGCCTCCTGCAGACCGCGTCCCGCCAGGCAGAGGTTATCGCCCCTGCTGTCCAGACCAA CTGGCAGAAACTCGAGGCCTTCTGGGCGAAGCATATGTGGAATTTCATCAGTGGGATACA ATACTTGGCGGGCCTGTCAACGCTGCCTGGTAACCCCGCCATTGCTTCATTGATGGCTTT TACAGCTGCTGTCACCAGCCCACTAACCACTAGCCAAACCCTCCTCTTCAACATATTGGG GGGGTGGGTGGCTGCCCAGCTCGCTGCCCCCGGTGCCGCTACCGCCTTTGTGGGCGCTGG CTTAGCCGGCGCCGCCATCGGCAGTGTTGGGCTGGGGAAGGTCCTCGTGGACATTCTTGC AGGATATGGCGCGGGCGTGGCGGGAGCTCTTGTAGCATTCAAGATCATGAGCGGTGAGGT CCCCTCCACGGAGGACCTGGTCAATCTGCTGCCCGCCATCCTCTCGCCTGGAGCCCTTGT AGTCGGTGTGGTCTGCGCAGCAATACTGCGCCGGCACGTTGGCCCGGGCGAGGGGGCAGT GCAATGGATGAACCGGCTAATAGCCTTCGCCTCCCGGGGGAACCATGTTTCCCCCACGCA CTACGTGCCGGAGAGCGATGCAGCCGCCCGCGTCACGGCCATACTCAGCAGCCTCACTGT AACCCAGCTCCTGAGGCGACTGCACCAGTGGATAAGCTCGGAGTGTACCACTCCATGCTC CGGTTCCTGGCTAAGAGACATCTGGGACTGGATATGCGAGGTGCTGAGCGACTTTAAGAC CTGGCTGAAAGCCAAGCTCATGCCACAACTGCCTGGGATTCCCTTTGTGTCCTGCCAGCG CGGGTATAGGGGGGTCTGGCGGGGAGACGGCATCATGCACACTCGCTGCCACTGTGGAGC TGAGATCACTGGACATGTCAAAAACGGGACGATGAGGATCGTCGGTCCTAGGACCTGCAG GAACATGTGGAGTGGGACCTTCCCCATTAACGCCTACACCACGGGCCCCTGTACCCCCCT TCCTGCGCCGAACTATAAGTTCGCGCTGTGGAGGGTGTCTGCAGAGGAATACGTGGAGAT AAGGCAGGTGGGGGACTTCCACTACGTAACGGGCATGACTACTGACAATCTTAAATGCCC GTGCCAGGTCCCATCGCCCGAATTCTTCACAGAATTGGACGGGGTGCGCCTACATAGGTA TGCGCCCCCTTGCAAGCCCTTGCTGCGGGAGGAGGTATCATTCAGAGTAGGACTCCACGA GTACCCGGTGGGGTCGCAACTACCTTGCGAGCCCGAACCGGACGTGGCCGTGTTGACGTC CATGCTCACTGATCCCTCCCACATAACAGCGGAGGCGGCCGGGAGAAGGTTGGCGAGGGG ATCACCCCCTTCTGTGGCCAGCTCCTCGGCTAGCCAGTTGTCCGCTCCATCTCTCAAGGC AACTTGCACCGCCAACCATGACTCCCCTGACGCCGAGCTCATAGAGGCTAATCTCCTGTG GAGGCAGGAGATGGGCGGCAACATCACCAGGGTTGAGTCAGAGAACAAAGTGGTGATTCT GGACTCCTTCGATCCGCTTGTATCAGAGGAGGATGAGCGGGAGATCTCCGTACCCGCAGA AATCCTGCGGAAGTCTCGGAGATTCGCCCCGGCCCTGCCCATTTGGGCGCGGCCGGACTA CAACCCCCCGCTGGTAGAGACGTGGAAAAAACCTGACTACGAACCACCCGTGGTCCATGG CTGCCCGCTACCACCTCCACAGTCCCCTCCTGTGCCTCCGCCTCGGAAGAAGCGAACGGT GGTCCTCACCGAATCAACCCTATCTACTGCCTTGGCTGAGCTTGCCACCAAAAGTTTTGG CAGCTCCTCAACTTCCGGCATTACGGGCGACAATACGACAACATCCTCTGAGCCCGCCCC TTCTGGCTGCTCCCCCGACTCCGACGTTGAGTCCTATTCTTCCATGCCCCCCCTGGAGGG GGAGCCTGGAGATCCGGATCTCAGCGACGGGTCATGGTCGACGGTCAGTAGCGGGGCCGA CGCGGAGGATGTCGTGTGCTGCTCAATGTCCTATACCTGGACAGGCGCACTCGTCACCCC GTGCGCTGCGGAAGAACAAAAACTGCCCATCAACGCACTGAGCAACTCGTTGCTACGTCA TCACAATCTGGTGTATTCCACCACTTCACGCAGTGCTTGCCAAAGGCAGAAGAAAGTCAC ATTTGACAGACTGCAAGTTCTGGACAGCCATTACCAGGACGTGCTCAAGGAGGTTAAGGC AGCGGCGTCAAAAGTGAAGGCTAACTTGCTATCCGTAGAGGAAGCTTGCAGCCTGACGCC CCCACACTCAGCCAAATCCAAGTTTGGTTATGGGGCGAAAGACGTCCGTTGCCATGCCAG AAAGGCCGTAGCCCACATCAACTCCGTGTGGAAAGACCTTCTGGAAGACAGTGTAACACC AATAGACACTACCATCATGGCTAAGAACGAGGTTTTCTGTGTTCAGCCTGAGAAGGGGGG TCGTAAGCCAGCTCGTCTCATCGTGTTCCCCGACCTGGGCGTGCGCGTGTGCGAGAAGAT GGCCCTGTACGATGTGGTTAGCAAGCTCCCCCTGGCCGTGATGGGAAGCTCCTACGGATT CCAATACTCACCAGGACAGCGGGTTGAATTCCTCGTGAAAGCGTGGAAGTCCAAGAAGAC CCCAATGGGGTTCTCATATGATACCCGCTGTTTTGACTCCACAGTCACTGAGAGCGACAT CCGTACGGAGGAGGCAATTTACCAATGTTGTGACCTGGACCCCCAAGCCCGCGTGGCCAT CAAGTCCCTCACTGAGAGGCTTTACGTTGGGGGCCCTCTTACCAATTCAAGGGGGGAGAA CTGCGGCTACCGCAGGTGCCGCGCGAGCGGCGTACTGACAACTAGCTGTGGTAACACCCT CACTTGCTACATCAAGGCCCAAGCAGCCTGTCGAGCCGCAGGGCTCCAGGACTGCACCAT GCTCGTGTGTGGCGACGACTTAGTCGTTATCTGTGAAAGTGCGGGGGTCCAGGAGGACGC GGCGAGCCTGAGAGCCTTCACGGAGGCTATGACCAGGTACTCCGCCCCCCCCGGGGACCC CCCACAACCAGAATACGACTTGGAGCTCATAACATCATGCTCCTCCAACGTGTCAGTCGC CCACGACGGCGCTGGAAAGAGGGTCTACTACCTCACCCGTGACCCTACAACCCCCCTCGC GAGAGCCGCGTGGGAGACAGCAAGACACACTCCAGTCAATTCCTGGCTAGGCAACATAAT CATGTTTGCCCCCACACTGTGGGCGAGGATGATATTGATGACCCACTTCTTTAGCGTCCT CATAGCCAGGGACCAGCTTGAACAGGCCCTTGATTGCGAGATCTACGGAGCCTGCTACTC CATAGAACCACTGGACCTACCTCCAATCATTCAAAGACTCCATGGCCTCAGCGCATTTTC ACTCCACAGTTACTCTCCAGGTGAGATCAATAGGGTGGCCGCATGCCTCAGAAAACTTGG GGTCCCGCCCTTGCGAGCTTGGAGACACCGGGCCCGGAGCGTCCGCGCTAGGCTTCTGTC CAGAGGAGGCAGGGCTGCCATATGTGGCAAGTACCTCTTCAACTGGGCAGTAAGAACAAA GCTCAAACTCACTCCAATAGCGGCCGCTGGCCGGCTGGACTTGTCCGGCTGGTTCACGGC TGGCTACAGCGGGGGAGACATTTATCACAGCGTGTCTCATGCCCGGCCCCGCTGGTTCTG GTTTTGCCTACTCCTGCTCGCTGCAGGGGTAGGCATCTACCTCCTCCCCAACCGATGA >KJ207374.1 Tomato mosaic virus isolate Penghu, complete genome GTATTTTTACAACAATTACCAACAACAACAACAAACAACAACAACATTACATTTTACATT CTACAACTACAATGGCATACACACAAACAGCCACATCGTCCGCTTTGCTTGAGACCGTCC GAGGTAACAATACCTTGGTCAACGATCTTGCAAAGCGGCGTCTATATGACACAGCGGTCG ATGAATTTAATGCTAGGGACCGCAGGCCTAAAGTCAATTTTTCCAAAGTAGTAAGCGAAG AACAGACGCTTATTGCAACCAAAGCCTACCCAGAATTCCAAATTACATTCTACAACACGC AGAACGCTGTGCATTCCCTTGCAGGCGGTCTCCGATCATTAGAATTGGAATATCTGATGA TGCAAATTCCCTACGGATCATTGACATATGATATCGGAGGTAATTTTGCATCTCATCTGT TCAAAGGGCGAGCATACGTTCACTGCTGTATGCCGAATCTGGATGTCCGCGACATAATGC GGCACGAGGGCCAAAAGGACAGTATTGAACTATACCTTTCTAGGCTCGAAAGGGGCAACA AACATGTCCCAAACTTCCAAAAGGAAGCTTTCGACAGATACGCTGAAATGCCAAACGAAG TAGTCTGTCACGATACTTTCCAAACGTGTAGGCATTCTCAAGAATGTTACACGGGAAGAG TGTATGCTATTGCTTTGCATAGTATATACGATATACCTGCCGACGAGTTCGGCGCGGCAC TGCTGAGAAAGAATGTACATGTATGTTATGCCGCTTTCCACTTTTCCGAGAATTTACTTC TCGAAGATTCACACGTCAACCTCGATGAGATCAATGCATGTTTCCAAAGAGATGGAGACA GGTTGACCTTTTCCTTTGCATCTGAGAGTACTCTTAATTATAGTCATAGTTATTCTAATA TTCTTAAGTATGTTTGCAAAACTTACTTCCCAGCCTCTAATAGAGAGGTTTACATGAAGG AGTTTTTAGTAACTAGAGTTAATACCTGGTTTTGTAAATTTTCTAGAATAGATACTTTCT TATTGTACAAAGGTGTAGCGCATAAGGGTGTAGATAGTGAGCAGTTTTACAAGGCTATGG AAGACGCATGGCACTACAAAAAGACTCTTGCGATGTGCAACAGTGAAAGAATCTTGTTAG AGGATTCTTCATCAGTTAATTACTGGTTTCCAAAAATGAGGGATATGGTGATAGTTCCAC TATTTGACATATCTCTCGAGACTAGTAAAAGAACACGCAAAGAGGTCTTAGTTTCAAAGG ACTTTGTTTATACAGTGTTAAATCACATTCGTACGTACCAGGCAAAAGCGCTTACTTACT CCAACGTGTTATCTTTCGTCGAATCAATTCGTTCGAGAGTGATCATTAACGGGGTTACTG CTAGGTCTGAGTGGGATGTCGATAAATCATTATTACAGTCCTTGTCGATGACGTTCTTCC TACATACCAAGCTTGCCGTTCTGAAAGACGATCTTTTGATTAGCAAGTTTGCACTTGGTC CAAAAACTGTCTCACAACATGTGTGGGATGAGATTTCCCTAGCTTTCGGCAATGCTTTCC CATCGATCAAGGAAAGATTGATAAACCGGAAACTGATCAAAATTACGGAGAATGCGTTAG AGATCAGGGTGCCCGATCTTTATGTCACTTTCCATGATAGGTTAGTTTCTGAGTACAAAA TGTCAGTGGACATGCCGGTGCTAGACATTAGGAAAAAGATGGAAGAAACTGAGGAAATGT ACAATGCACTGTCCGAACTGTCTGTACTTAAAAATTCAGACAAATTCGATGTTGATGTTT TTTCCCAGATGTGCCAATCTTTAGAAGTTGATCCAATGACTGCAGCAAAGGTAATAGTAG CAGTTATGAGCAACGAGAGTGGTCTTACTCTCACGTTTGAACAGCCCACCGAAGCTAATG TTGCGCTAGCATTGAAAGATTCTGAAAAGGCTTCTGATGGGGCGTTGGTAGTTACCTCAA GAGATGTTGAAGAACCGTCCATAAAGGGTTCGATGGCCCGTGGTGAGTTACAATTGGCCG GATTATCTGGCGACGTTCCTGAATCTTCATACACTAGGAGCGAGGAAATTGAGTCTCTCG AGCAGTTTCATATGGCAACAGCTAGTTCGTTAATTCACAAGCAGATGTGTTCGATCGTGT ACACGGGCCCTCTTAAAGTTCAACAAATGAAAAACTTTATAGACAGCCTGGTAGCCTCGC TCTCTGCTGCGGTGTCGAATCTAGTGAAGATCCTAAAAGATACAGCTGCGATTGACCTTG AAACTCGTCAAAAGTTCGGAGTTCTGGATGTTGCTTCGAAAAGGTGGCTAGTTAAACCAT CCGCAAAGAACCATGCATGGGGGGTTGTTGAGACTCATGCGAGGAAATATCACGTCGCAT TACTGGAGCACGATGAATTTGGCATTATTACGTGCGATAACTGGCGACGGGTGGCTGTGA GTTCTGAGTCGGTAGTATATTCTGATATGGCTAAACTCAGAACTCTGAGAAGATTGCTCA AAGATGGAGAACCACACGTTAGTTCAGCAAAGGTGGTTTTGGTGGATGGCGTTCCAGGGT GCGGGAAAACAAAGGAAATTCTTTCGAGAGTTAATTTCGAAGAAGATCTAATTCTTGTCC CTGGTCGTCAAGCTGCCGAGATGATCAGAAGAAGAGCTAATGCGTCGGGCATAATAGTGG CTACAAAGGACAATGTGCGTACCGTCGATTCATTTTTGATGAATTACGGGAAAGGGGCAC GCTGTCAGTTCAAAAGATTGTTCATAGACGAAGGTTTGATGCTGCATACTGGTTGTGTGA ATTTCTTGGTTGAAATGTCTCTGTGCGATATTGCATATGTTTATGGAGACACCCAACAAA TTCCGTACATCAACAGAGTAACTGGTTTCCCGTACCCTGCACACTTTGCAAAATTGGAGG TCGACGAAGTCGAAACAAGAAGAATTACTCTTCGTTGTCCGGCTGATGTCACACACTTCC TAAATCAAAGGTATGAAGGACACGTAATGTGCACGTCTTCTGAAAAGAAATCAGTTTCCC AGGAAATGGTTAGTGGGGCTGCGTCTATCAATCCTGTGTCCAAGCCGCTTAAAGGGAAAA TTTTGACTTTTACACAGTCTGACAAGGAGGCCCTTCTCTCAAGGGGCTATGCAGATGTCC ATACTGTACATGAGGTACAAGGTGAGACTTATGCAGACGTATCGTTAGTTCGACTAACAC CTACGCCTGTATCTATCATCGCAAGAGACAGTCCGCATGTTCTGGTCTCGTTGTCAAGAC ACACAAAATCCCTAAAGTACTACACCGTTGTGATGGATCCTTTAGTTAGTATCATTAGAG ATTTAGAACAGGTTAGTAGTTACTTATTAGACATGTACAAAGTAGATGCAGGTACTCAAT AGCAATTACAGGTCGACTCTGTGTTTAAGAATTTCAATCTTTTTGTAGCAGCTCCAAAGA CTGGAGATATATCTGATATGCAATTTTACTATGATAAGTGTCTTCCTGGGAACAGCACGT TGTTGAACAACTACGACGCTGTTACCATGAAATTGACTGACATTTCTCTGAATGTCAAAG ATTGCATATTAGATATGTCTAAGTCTGTAGCTGCTCCGAAAGATGTCAAACCAACTTTAA TACCGATGGTACGAACGGCGGCAGAAATGCCTCGCCAGACTGGACTGTTGGAAAATTTAG TTGCGATGATTAAAAGAAATTTTAATTCACCAGAGTTGTCCGGAGTAGTTGATATTGAAA ATACTGCATCTTTAGTGGTAGATAAGTTTTTTGATAGTTATTTACTTAAGGAAAAAAGAA AACCAAACAAAAATTTTTCACTGTTTAGTAGAGAGTCTCTCAATAGGTGGATAGCAAAGC AAGAACAAGTCACAATTGGTCAGTTGGCCGATTTTGATTTTGTGGATCTTCCAGCCGTTG ATCAGTACAGGCATATGATAAAAGCGCAACCGAAGCAGAAACTGGATCTGTCAATTCAGA CGGAATATCCAGCGTTGCAAACGATTGTGTATCATTCAAAGAAAATCAACGCAATATTTG GTCCTCTTTTCAGTGAGCTTACAAGGCAATTACTTGACAGTATTGACTCAAGCAGATTCT TGTTCTTTACGAGAAAGACACCGGCTCAGATCGAAGATTTCTTCGGAGATCTAGACAGTC ATGTCCCAATGGACGTACTTGAGTTGGATATTTCAAAGTATGATAAGTCTCAAAACGAGT TTCATTGTGCTGTTGAGTACGAAATCTGGAGGAGACTGGGTCTGGAGGATTTCTTGGCAG AAGTGTGGAAACAAGGGCATAGAAAAACCACTCTGAAAGATTACACTGCTGGTATAAAAA CGTGTTTATGGTACCAGAGAAAGAGTGGTGATGTTACAACTTTTATCGGTAATACCGTCA TCATTGCTTCGTGTCTTGCATCAATGCTCCCGATGGAAAAATTGATAAAAGGAGCCTTCT GCGGAGATGACAGTTTGTTGTACTTTCCTAGAGGTTGTGAGTATCCCGATATACAACAAG CTGCTAATCTGATGTGGAATTTTGAGGCCAAACTGTTCAAGAAGCAATATGGGTACTTCT GCGGGAGGTACGTGATTCATCACGATAGAGGTTGCATAGTATACTACGACCCTCTGAAGC TGATTTCGAAACTTGGTGCTAAACACATCAAGGATTGGGATCATTTGGAGGAGTTCAGAA GATCCCTCTGTGATGTTGCTGAGTCGTTGAACAATTGTGCGTATTACACACAATTGGACG ACGCTGTTGGGGAGGTTCATAAAACCGCCCCACCTGGTTCGTTTGTTTATAGGAGTTTAG TTAAGTATTTGTCAGATAAAGTTTTGTTTAGAAGTTTATTTCTTGATGGCTCTAGTTGTT AAAGGTAAGGTAAATATTAATGAGTTTATCGATCTGTCAAAGTCTGAGAAACTTCTCCCG TCGATGTTCACGCCTGTAAAGAGTGTTATGGTTTCAAAGGTTGATAAGATTATGGTCCAT GAAAATGAATCATTGTCTGAAGTAAATCTCTTAAAAGGTGTAAAACTTATAGAAGGTGGG TATGTTTGCTTAGTTGGTCTTGTTGTGTCCGGTGAGTGGAATTTACCAGATAATTGCCGT GGTGGTGTGAGTGTCTGCATGGTTGACAAGAGAATGGAAAGAGCGGACGAAGCCACACTG GGGTCATATTACACTGCTGCTGCTAAAAAGCGGTTTCAGTTTAAAGTGGTCCCAAATTAC GGTATTACTACAAAGGATGCAGAAAAGAACATATGGCAGGTCTTAGTAAATATTAAAAAT GTAAAAATGAGTGCGGGCTACTGCCCTTTGTCATTAGAATTTGTGTCTGTGTGTATTGTT TATAAAAATAATATAAAATTGGGTTTGAGGGAGAAAGTAACGAGTGTGAACGATGGAGGA CCCATGGAACTTTCAGAAGAAGTTGTTGATGAGTTCATGGAGAATGTTCCAATGTCGGTT AGACTCGCAAAGTTTCGAACCAAAACCTCAAAAAGAGGTCCGAAAAATAATAATAATTTA GGTAAGGGGCGTTCAGGCGGAAGGCCTAAACCAAAAAGTTTTGATGAAGTTGAAAAAGAG TTTGATAATTTGATTGAAGATGAAGCCGAGACGTCGGTCGCGGATTCTGATTCGTATTAA ATATGTCTTACTCAATCACTTCTCCATCGCAATTTGTGTTTTTGTCATCTGTATGGGCTG ACCCTATAGAATTGTTAAACGTTTGTACAAATTCGTTAGGTAACCAGTTTCAAACACAGC AAGCAAGAACTACTGTTCAACAGCAGTTCAGCGAGGTGTGGAAACCTTTCCCTCAGAGCA CCGTCAGATTTCCTGGCGATGTTTATAAGGTGTACAGGTACAATGCAGTTTTAGATCCTC TAATTACTGCGTTGCTGGGGGCCTTCGATACTAAGAATAGAATAATCGAAGTAGAAAACC AGCAGAGTCCGACAACAGCTGAAACGTTAGATGCTACCCGCAGGGTAGACGACGCTACGG TTGCAATCCGGTCTGCTATAAATAATTTAGTTAATGAACTAGTAAAAGGTACTGGACTGT ACAATCAGAATACTTTTGAAAGTATGTCTGGGTTGGTCTGGACCTCTGCACCTGCATCTT AAATGCATAGGTGCTGAAATATAAAGTTTGTGTTTCTAAAACACACGTGGTACGTACGAT AACGTACAGTGTTTTTCCCTCCACTTAAATCGAAGGGTAGTGTCTTGGAGCGCGCGGAGT AAACATATATGGTGCATATATGTCCGTAGGCACGTAAAAAAGCGAGGGATTCGAATTCCC CCGGAGCACCACTGGTGGTGGCCCA >AY184220.1 Human poliovirus 2 strain Sabin 2, complete genome TTAAAACAGCTCTGGGGTTGTACCCACCCCAGAGGCCCACGTGGCGGCTAGCACTCCGGT ATTACGGTACCCTTGTGCGCCTGTTTTATACTCCCCTCCCGCAACTTAGAAGCACGAAAC CAAGTTCAATAGAAGGGGGTACAAACCAGTACCACTACGAACAAGCACTTCTGTTTCCCC GGTGACATTGCATAGACTGCTCACGCGGTTGAAAGTGATCGATCCGTTACCCGCTTGTGT ACTTCGAAAAGCCTAGTATCGCCTTGGAATCTTCGACGCGTTGCGCTCAGCACCCGACCC CGGGGTGTAGCTTAGGCTGATGAGTCTGGACATTCCTCACCGGTGACGGTGGTCCAGGCT GCGTTGGCGGCCTACCTATGGCTAACGCCATAGGACGTTAGATGTGAACAAGGTGTGAAG AGCCTATTGAGCTACATAAGAGTCCTCCGGCCCCTGAATGCGGCTAATCCTAACCACGGA ACAGGCGGTCGCGAACCAGTGACTGGCTTGTCGTAACGCGCAAGTCTGTGGCGGAACCGA CTACTTTGGGTGTCCGTGTTTCCTGTTATTTTTATCATGGCTGCTTATGGTGACAATCAG AGATTGTTATCATAAAGCGAATTGGATTGGCCATCCGGTGAGTGTTGTGTCAGGTATACA ACTGTTTGTTGGAACCACTGTGTTAGCTTTACTTCTCATTTAACCAATTAATCAAAAACA ATACGAGGATAAAACAACAATACTACAATGGGCGCCCAAGTTTCATCACAGAAAGTTGGA GCCCACGAAAATTCAAACAGAGCCTATGGCGGGTCCACCATCAATTACACTACAATCAAT TACTATAGGGACTCTGCAAGCAATGCAGCAAGCAAGCAAGATTTTGCACAAGATCCGTCC AAGTTCACCGAACCCATTAAGGACGTCCTTATTAAGACCGCTCCCATGCTAAACTCCCCA AACATTGAGGCGTGTGGTTATAGTGACAGGGTAATGCAGCTAACTCTGGGCAATTCAACG ATCACCACCCAAGAAGCGGCCAATTCTGTTGTTGCCTACGGTAGATGGCCTGAATACATC AGAGATACCGAGGCAAATCCTGTAGACCAACCAACCGAGCCCGATGTAGCCGCGTGCAGG TTCTACACATTAGATACCGTCACTTGGCGCAAGGAGTCCAGAGGGTGGTGGTGGAAACTA CCAGACGCTTTAAAAGACATGGGGTTATTTGGTCAAAACATGTTTTATCACTATCTTGGG AGGGCTGGCTACACAGTGCACGTACAGTGCAATGCTTCAAAGTTTCATCAAGGAGCTCTA GGGGTGTTTGCAGTTCCAGAAATGTGTTTAGCTGGTGATAGCACAACTCACATGTTCACA AAGTACGAGAATGCGAATCCAGGCGAAAAAGGAGGTGAATTCAAAGGGAGTTTCACCCTT GATACCAACGCCACTAACCCTGCACGGAACTTCTGCCCAGTTGATTACCTCTTCGGGAGT GGAGTGCTGGTAGGGAATGCATTTGTTTATCCACATCAAATAATAAACCTGCGCACTAAC AACTGTGCTACGCTAGTATTGCCCTATGTAAACTCACTCTCAATAGATAGCATGACAAAG CACAACAACTGGGGGATCGCTATCCTCCCCCTGGCGCCACTAGACTTTGCCACTGAATCT TCCACTGAGATACCCATTACACTGACCATTGCTCCCATGTGCTGCGAATTCAATGGTTTA CGCAACATCACTGTGCCAAGAACCCAAGGATTACCAGTCCTGAACACTCCAGGGAGTAAC CAGTACCTGACCGCAGACAATTACCAGTCTCCGTGTGCGATACCTGAGTTTGATGTCACT CCACCCATAGACATACCAGGGGAGGTGCGCAACATGATGGAATTGGCGGAAATAGACACC ATGATACCCCTCAACTTGACAAGTCAACGCAAGAACACAATGGACATGTATAGAGTCGAG TTGAGCGACACGGCTCACTCTGACACGCCGATCTTGTGTCTCTCGTTGTCCCCCGCTTCA GACCCCAGATTGGCACACACTATGTTGGGTGAGATATTAAATTACTACACACACTGGGCA GGGTCCTTGAAATTTACCTTTCTCTTTTGCGGCTCAATGATGGCCACCGGAAAGTTATTG GTTTCTTACGCACCACCCGGAGCAGAGGCCCCCAAGAGTCGCAAAGAAGCAATGCTTGGG ACACATGTGATATGGGACATTGGGTTGCAGTCTTCATGCACTATGGTGGTACCTTGGATC AGTAATACCACATACAGACAAACCATCAACGATAGTTTCACAGAAGGTGGCTACATTAGC ATGTTCTATCAAACTAGGGTTGTTGTCCCGTTGTCCACACCCAGAAAGATGGACATCCTG GGTTTTGTGTCAGCTTGCAATGACTTCAGTGTGCGCTTACTGCGAGATACAACACACATT AGTCAAGAGGCTATGCCACAAGGAATTGGTGACATGATTGAGGGGGCCGTTGAAGGGATT ACTAAAAATGCATTGGTTCCCCCGACTTCCACCAATAGCCTGCCTGACACAAAGCCGAGC GGTCCAGCCCACTCCAAGGAGATACCTGCATTGACAGCCGTGGAGACAGGGGCTACCAAT CCGTTGGTGCCTTCGGACACCGTGCAAACGCGCCATGTCATCCAGAGACGAACGCGATCA GAGTCCACGGTTGAGTCATTCTTTGCAAGAGGGGCTTGCGTGGCTATCATTGAGGTGGAC AATGATGCACCGACAAAGCGCGCCAGCAGATTGTTTTCGGTTTGGAAAATAACTTACAAA GATACTGTTCAACTGAGACGCAAACTGGAATTTTTCACATATTCGAGATTTGACATGGAG TTCACTTTTGTGGTCACCTCAAACTACATTGATGCAAATAACGGACATGCATTGAACCAA GTTTATCAGATAATGTATATACCACCCGGAGCACCTATCCCTGGTAAATGGAATGACTAT ACGTGGCAGACGTCCTCTAACCCGTCGGTGTTTTACACCTATGGGGCGCCCCCAGCAAGA ATATCAGTGCCCTACGTGGGAATTGCTAATGCGTATTCCCACTTTTATGATGGGTTTGCA AAAGTACCACTAGCGGGTCAAGCCTCAACTGAAGGCGATTCGTTGTACGGTGCTGCCTCA CTGAATGATTTTGGATCACTGGCTGTTCGCGTGGTAAATGATCACAACCCCACGCGGCTC ACCTCCAAGATCAGAGTGTACATGAAGCCAAAGCATGTCAGAGTCTGGTGCCCACGACCT CCACGAGCAGTCCCATACTTCGGACCAGGTGTTGATTATAAAGATGGGCTCACCCCACTA CCAGAAAAGGGATTAACGACTTATGGATTTGGACACCAAAACAAAGCTGTGTACACAGCT GGCTACAAAATTTGCAATTACCACCTAGCTACACAAGAAGACTTGCAAAATGCCGTGAGT GTCATGTGGAACAGAGACCTCTTAGTGGCTGAATCAAGGGCCCTTGGCACCGACTCGATC GCAAGGTGCAGCTGTAACACGGGTGTGTACTACTGTGAATCCAGGAGAAAATATTATCCA GTTTCTTTCATTGGGCCCACCTTCCAATACATGGAAGCCAATGAATATTACCCGGCTAGA TATCAATCACACATGCTTATTGGTCATGGGTTTGCATCACCGGGTGATTGTGGTGGCATA CTTAGATGTCAACACGGGGTGATAGGAATAATCACTGCTGGTGGGGAAGGCTTGGTTGCA TTTTCAGACATTAGAGACCTGTATGCTTATGAGGAGGAAGCTATGGAGCAGGGCATTTCC AACTATATTGAGTCACTTGGTGCTGCATTTGGTAGTGGATTCACTCAACAAATTGGTGAT AAAGTTTCCGAGCTAACCAGCATGGTAACTAGCACCATTACAGAGAAGTTGCTTAAAAAC TTAATCAAAATTATCTCATCACTTGTGATCATTACCAGGAATTATGAGGACACTACCACA GTGCTTGCCACCCTCGCCCTCCTTGGGTGCGACATCTCACCGTGGCAGTGGCTAAAGAAG AAGGCATGTGACATCCTGGAAATTCCATACGCCATCAAACAAGGAGATAGTTGGTTGAAG AAATTCACTGAGGCATGTAATGCTGCAAAGGGACTGGAGTGGGTGTCCAATAAGATATCC AAATTCATTAGTTGGTTGCAGGATAAAATCATCCCACAAGCGAGAGACAAATTAGAGTTT GTCACTAAACTAAAGCAATTAGAAATGCTTGAAAATCAGATTTCCACCATACACCAATCT TGTCCAAGTCAAGAACATCAGGAGATCTTATTCAACAATGTGCGGTGGCTATCTATCCAG TCCAAGAGGTTTGCACCACTATATGCACATGAAGCTAAAAGGATTCAAAAGCTGGAGCAT ACCATAAATAATTACGTACAGTTCAAGAGCAAGCACCGTATTGAGCCAGTATGTTTGTTA GTACATGGCAGTCCAGGGACAGGAAAATCAGTTGCAACCAATCTAATTGCTAGAGCAATA GCCGAGAAAGAGAACACCTCCACATACTCACTGCCACCTGATCCGTCTCACTTTGATGGC TACAAGCAACAGGGTGTGGTTATTATGGATGACCTAAACCAAAATCCAGACGGAGCAGAC ATGAAACTTTTTTGTCAAATGGTGTCCACTGTGGAGTTTATTCCACCGATGGCCTCGCTA GAAGAGAAAGGCATTTTGTTCACATCTAATTACGTTTTAGCCTCCACCAACTCCAGTCGG ATCACACCACCCACGGTGGCTCACAGTGATGCGCTGGCCAGGAGATTCGCATTTGACGTG GACATACAAGTCATGAGCGAGTACTCCAGAGACGGAAAGCTCAACATGGCAATGGCTACT GAAATGTGCAAAAACTGTCATCAACCAGCAAACTTCAAAAGATGTTGTCCTTTAGTGTGT GGCAAGGCAATTCAGTTAATGGATAAATCTTCCAGGGTTAGATACAGCATTGATCAGATC ACTACAATGATTGTTAATGAGAGAAACAGAAGATCAAACATTGGTAATTGCATGGAAGCT CTATTCCAGGGACCACTGCAGTATAAAGATCTAAAAATAGATGTTAAGACCAGTCCCCCT CCGGAGTGTATCAACGATTTGCTCCAGGCAGTTGATTCCCAGGAAGTGAGAGATTACTGT GAAAAGAAAGGCTGGATTGTTAACATTACCAGTCAGGTTCAAACAGAGAGGAACATCAAC CGGGCGATGACTATCCTACAAGCAGTAACTACTTTCGCTGCAGTAGCCGGTGTCGTGTAC GTTATGTACAAGCTGTTCGCTGGGCACCAGGGTGCATACACTGGTTTGCCAAATAAACGA CCCAATGTACCCACTATCAGGACAGCAAAAGTGCAAGGCCCTGGGTTTGATTACGCAGTG GCCATGGCTAAAAGAAACATTGTTACAGCAACCACCAGCAAAGGGGAGTTTACGATGTTG GGAGTCTATGATAATGTGGCCATCTTGCCAACCCACGCCTCACCTGGTGAAAGCATTGCG ATCGACGGTAAAGAGGTGGAAATTCTTGACGCCAAAGCCCTTGAAGATCAGGCAGGAACT AATCTTGAAATTACCATAATTACACTAAAGAGGAACGAGAAGTTCAGAGATATCAGGCCA CACATTCCCACCCAAATCACCGAAACAAATGATGGAGTTTTGATCGTGAACACTAGTAAG TACCCCAACATGTATGTTCCCGTTGGTGCTGTGACCGAACAGGGGTATCTTAATCTCGGT GGACGACAAACCGCTCGTACGCTAATGTACAACTTTCCAACTAGAGCAGGTCAGTGTGGT GGTGTCATCACGTGCACTGGTAAAGTCATTGGGATGCATGTTGGTGGGAACGGTTCACAT GGGTTCGCGGCGGCCCTAAAGCGGTCATACTTCACTCAGATTCAAGGTGAGATTCAATGG ATGAAACCATCAAAAGAAGTGGGATACCCGATCATAAATGCTCCGTCCAAAACCAAACTT GAACCCAGCGCTTTTCACTATGTGTTTGAAGGGGTGAAGGAACCAGCAGTCCTTACCAAA AATGATCCCAGGCTCAGGACAGACTTTGAAGAAGCAATATTCTCTAAGTATGTAGGCAAC AAGATCACTGATGTGGATGAGTACATGAAAGAGGCAGTGGATCATTACGCTGGCCAACTC ATGTCTCTAGACATCAACACAGAACAAATGTGCTTGGAGGACGCCATGTACGGCACCGAT GGCCTGGAAGCACTTGACTTGACCACTAGTGCTGGATACCCTTATGTAGCAATGGGAAAG AAAAAGAGAGACATCTTGAATAAGCAGACTAGAGACACCAAGGAAATGCGGAGACTCTTA GATACTTATGGAATTAACTTACCGCTTGTAACATATGTTAAAGATGAACTAAGGTCAAAA ACTAAGGTGGAGCAGGGAAAATCCAGATTGATTGAAGCCTCCAGTTTGAATGATTCAGTG GCCATGAGAATGGCATTTGGAAATCTCTATGCAGCATTTCACAAAAACCCAGGAGTTGTC ACTGGCAGTGCAGTTGGTTGTGATCCAGATCTATTTTGGAGCAAGATCCCAGTGCTAATG GAAGAGAAGCTCTTTGCTTTTGACTACACAGGTTATGATGCATCACTCAGCCCGGCCTGG TTTGAGGCACTCAAAATGGTGCTAGAGAAAATCGGATTTGGGGACAGGGTGGATTATATT GATTACCTCAACCATTCCCACCACCTGTACAAAAACAAAACTTATTGCGTAAAAGGCGGC ATGCCATCTGGCTGCTCAGGCACATCAATTTTTAACTCAATGATTAACAACTTAATCATT AGGACACTCCTACTGAAAACCTACAAGGGCATAGATTTAGATCACCTAAAGATGATTGCC TATGGTGATGATGTAATTGCTTCCTACCCCCATGAGGTTGATGCTAGTCTCCTAGCCCAA TCAGGAAAAGACTATGGACTAACCATGACTCCAGCAGACAAGTCAGCTACCTTTGAAACA GTCACATGGGAGAATGTAACATTCTTGAAAAGATTCTTTAGAGCGGATGAGAAGTATCCC TTCCTCATACATCCAGTAATGCCAATGAAGGAGATTCATGAATCAATTAGATGGACAAAG GATCCCAGAAACACACAGGATCACGTGCGCTCATTGTGCCTATTGGCCTGGCACAACGGC GAAGAAGAATACAACAAGTTCTTAGCTAAAATCAGGAGTGTGCCAATTGGGAGAGCTTTA TTGCTCCCAGAGTACTCTACATTGTACCGCCGTTGGCTCGACTCTTTTTAGTAACCCTAC CTCAGTCGAATTGGATTGGGTCATGCTGTTGTAGGGGTAAATTTTTCTTTAATTCGGGG >KM609478.1 Coxsackievirus A8 isolate CVA8/SZ141/CHN/2012, complete genome TTAAAACAGCCTGTGGGTTGCACCCACTCACAGGGCCCACTGGGCGCTAGCACTCTGATT CTACGGAATCTTTGTGCGCCTGTTTTATAACCCCCTCCCCCAATGTAATTTAGAAGCAAT GCACCAATGATCAACAGCAGGCGTGGCGCACCAGCCATGTCTCGATCAAGCACTTCTGTT TCCCCGGACAGAGTATCAATAGACTGCTCGCGTGGTCGAAGGAGAAAACGTCCGTTACCC GGCTAACTACTTCGAGAAACCTAGTAGCACCAATGAAGCTGCAGAGCGTTTCGCTCAGCA CTTACCCCGTGTAGATCAGGCCGATGAGTCACTGCGTTCCCCACGGGCGACCGTGGCAGT GGCTGCGTTGGCGGCCTGCCTATGGGGTCACCCATAGGACGCTCTAATGTGGACATGGTG CGAAGAGTCTATTGAGCTAGTTAGTAGTCCTCCGGCCCCTGAATGCGGCTAATCCTAACT GCGGAGCGCATACCCTCAAACCAGGGGGTGGTGCGTCGTAACGGGTAACTCTGCAGCGGA ACCGACTACTTTGGGTGTCCGTGTTTCCTTTTATTCTCTTAATGGCTGCTTATGGTGACA ATTGAGGAATTGTTACCATATAGCTATTGGATTGGCCATCCGGTGTGTAACAGAGCAATT ATCTACTTGTTTGCAGGATTTACCCCATTAACGTTCAAATCTCTTAACACACTACAGTAC ATACTAACCTTGAATACAAGAAAATGGGAGCACAAGTTTCGACTCAAAAGTCTGGTAGCC ACGAGACTGGCAACATAGCCACTGAAGGGTCCACCATTAACTTTACTAACATCAATTATT ACAAGGACTCGTACGCCGCCTCGGCTAGCAAACAGGACTTCACCCAGGATCCTACTAGGT TTACTAGCCCTGTGCTTGATGCGCTGAGGGAAGTGGCACCTCCATTAAAGTCACCCTCAG TGGAAGCGTGCGGATACAGTGATAGAGTAGCGCAGTTGACTGTCGGCAATTCAACAATCA CCACACAAGAGGCTGCTAACATAGTCCTTGCTTACGGGGAATGGCCTGAGTACTGTCCCG ACAAAGACGCCACCGCTGTAGATAAGCCTACACGCCCCGATGTGTCGGTTAATAGATTCT ACACCATGTCTACGCAAATGTGGCAGGACACCTCGAAAGGGTGGTACTGGAAGTTCCCAG ATGTTCTTACCAAGACTGGTGTCTTTGGACAAAATGCCCAGTATCACTATTTGTACAGAT CTGGATTTTGCATACATGTCCAATGCAACGCTAGTAAATTCCATCAAGGAGCACTGTTAG TGGCTGCCATCCCAGAGATGGTGTTAGGATCCAATAGCTCAGATCCCAAGCCCAACACTG CAAAGCACCCTGAATTCACTACAACAATGCCAGGTGCTAATGGTGGAATTTTTGAAAATC CCTATATCTTGGACATGGGGGTTCCCTTGAGCCAAGCTTTGGTGTTTCCACACCAATGGA TCAACCTGCGCACTAACAACTGTGCGACCATTATAGTGCCTTATATTAATGCTGTTCCAT TTGATTCAGCCATTAACCACAACAACTTCACGCTAGTCGTAATTCCGATTAGCCCGTTAA AATACTGCACAGGAGCGACAACAGCCATCCCTATAACAGTAACGATAGCCCCATTAAATT CTGAATTTTGTGGGTTGAGGCAAGCTACATCGCAGGGAATACCAGTGGAGCTAAAACCCG GCACCAATCAATTTTTGACAACTGATAACGAAGTCTCCGTACCAATCTTACCTGGTTTCC AGCCTACACCGGTTATACATATACCAGGGGAGGTGAACAACCTCCTGGAGCTCTGCCAGG TTGAATCTATCTTGGAGGTCAATAATGTGACTGGACAAGAAGGGATAAACCGACTCCTTA TCCCAGTTTCTACACAAAGTGACAAGGATACTTTGTGTGCATCACTCAGAGTCGATCCAG GTAGGGACGGACCGTGGCAATCTACTTTAGTTGGGCAAATATGTAGGTATTACACCCAGT GGTCTGGTTCATTAGAGATCACATTCATGTTTACTGGTTCATTCATGGCAACCGGTAAAA TGCTGATAGCTTACTCCCCGCCTGGGAGTGCGCAACCAACAACAAGAGACCTGGCAATGC TCGGCACGCACGTAGTGTGGGATTTTGGGTTGCAATCATCTATTACTCTTGTGATCCCAT GGATCAGCAACACACACTTCAGAACAGGCAAGGTGGGTGGTTACTTTGATTACTATGCGT CTGGTATAGTAACTATTTGGTATCAGACAAACTTCGTCGTGCCCCCCGACACGCCGAGTC AGGCTCATATAATAGCGTTGGGAGCTGCCCAGAAGAATTTCACGCTTAAACTGTGCAAGG ATACAGATGAGGTAACACAACAAGCAGTGTTGCAGGGGGACCCCATTGAAGACATAATAA CTAGCACAGTCTCCCGCACATTGCAGCAAATTAGCACTCCAACACATAGCACTACTGCAG CAAACACCTCTGTGAGTAACCATAAGATAGGCACTGGAGATGTTCCAGCTCTCCAAGCTG CGGAGACAGGTGCTACCTCTAACGCCTCGGATGAGAACATGATCGAGACACGCTGCGTGC TAAATCGCAATGGAGTCGTGGAAACCAGTCTGGACCACTTCTTCTCAAGAGCAGGTCTGG TGGGGGTGATCAATGTGCAAGATGGTAGTACACAGAAGGGATTTGAGGTGTGGGATGTGG ATGTGATGGGGTTTGTACAGCTCAGAAGGAAGTTGGAAATGTTTACATACATGAGATTCA ATGCTGAGTTTACATTTGTGTCCACACTTGCAGACGGCACGACTCCCAGGGTGATGTTAC AGTACATGTATGTTCCACCTGGTGCCCCCAAACCTCAAGAGAGGGATTCATTCCAATGGC AAACAGCGACCAACCCGTCAGTGTTCTGCAAAATGAGCGATCCTCCCCCACAAGTCTCTG TCCCTTTCATGTCGCCAGCCAGCGCGTACCAGTGGTTCTATGATGGATATCCTACATTTG ATGATCGACCTGCCACCTCAAATCACCCGTATGGACAGTGCCCTAATAACATGATGGGCA CATTTGCAGTGCGATTTGTCAGCAAGACCCCTGCTATACGGGACTTGCGTGTTAGGGTAT ATATGCGCCTCAAACACGTGCGCGCTTGGGTACCGAGGCCCATACGATCCCAAGCATACA TCTTAAAGAACTATCCAAACTATGACGGGACAAATATAACACCAACATCCAAGGACAGGC AAAGCATCAAAACGACTGGGAAATTTGGTCAGCAGTCCGGTGCTATTTATGTGGGCAATT ACAGAGTAGTTAACAGACACCTTGCCACACACAATGACTGGGCCAACTTAGTATGGGAAG ACAGCTCCAGGGATCTCCTTGTGTCATCCACGACTGCTCAAGGATGTGACATCATTGCTC GTTGCAATTGCCAGACTGGAGTGTATTACTGTAACTCCCAAAGAAAACACTACCCAGTTA GCTTTTCAAAGCCTAGCCTGATCTATGTGGAAGCTAGTGAGTATTACCCAGCTAGGTATC AATCTCACCTTATGCTCGCACAAGGACACTCAGAACCTGGCGATTGTGGTGGTATCCTCA GGTGCCAACACGGCGTTGTCGGCATAGTGTCCACTGGTGGTGACGGACTCGTCGGCTTCG CAGATGTCAGGGATCTCCTTTGGTTAGATGAGGAGGCGATGGAGCAAGGTGTGTCTGATT ACATCAAGGGACTCGGTGATGCATTTGGAACTGGCTTCACTGATGCTGTCTCTAGAGAAG TGGAGGCCCTTAAAAACCACCTAATTGGTTCTGAAGGAGCTGTTGAGAAAATCCTCAAGA ATTTGATCAAGTTAATCTCTGCTCTTGTCATTGTGATTAGGAGTGATTATGACATGGTCA CCCTTACAGCAACTCTAGCTTTAATCGGGTGTCACGGTAGTCCTTGGGCATGGATTAAAA CAAAGACAGCATCTATTTTAGGCATCCCTATCGCTCAAAAGCAGAGCGCCTCYTGGCTTA AAAAGTTCAACGATATGGCCAACGCTGCCAAGGGATTGGAATGGGTTTCTAACAAGATCA GCAAATTCATCGATTGGCTCAAGGAAAAAATCATACCAGCAGCCAAGGAGAAGGTCGAGT TTTTAAATAACTTGAAACAGTTACCACTGCTAGAGAACCAAATCTCTAATCTGGAACAAT CTGCTGCCTCACAAGAGGACCTTGAAGTTATGTTTGGGAATGTGTCATATCTAGCTCACT TCTGTCGTAAGTACCAGCCACTATACGCTACAGAAGCCAAAAGAGTCTACACTCTAGAGA AGAGGATGAACAACTACATGCAGTTCAAGAGCAAACACCGTATTGAACCTGTATGTCTTA TTATCAGGGGTTCACCGGGCACTGGGAAGTCTTTAGCAACTGGCATCATTGCTCGAGCGA TAGCTGATAAGTATCACTCCAGTGTCTATTCACTCCCACCAGACCCAGACCACTTTGATG GGTACAAGCAGCAAGTGGTTACAGTCATGGATGATCTATGTCAAAATCCTGACGGCAAAG ATATGTCACTGTTTTGCCAAATGGTGTCTACCGTGGACTTCATTCCTCCAATGGCTTCCT TAGAAGAGAAGGGGGTCTCTTTCACATCTAAGTTCGTCATTGCATCCACTAATGCTAGTA ATATCATAGTGCCAACAGTATCTGATGCAGACGCCATTCGCCGCAGGTTCTATATGGATT GTGACATTGAAGTAACAGACTCATATAAAACAGACCTGGGTAGGTTGGATGCCGGGCGAG CAGCCAAATTGTGTTCTGAGAACAACACAGCAAATTTCAAGCGTTGCAGCCCATTAGTGT GTGGAAAGGCTATTCAATTAAGAGATAGGAAATCTAAGGTCAGATACAGCGTGGACACAG TGGTCTCTGAACTCATAAGAGAGCATAATAACAGATCCGCCATTGGTAACACAATTGAGG CTTTGTTCCAGGGCCCACCCAAATTTAGACCCATAAGGATTAGTCTTGAAGAAACGCCAG CTCCAGATGCTATTAGTGATCTTCTCACTAGTGTGGATAGCGAAGAGGTACGTCAATACT GTAGGGATCAAGGTTGGATTATTCCGGAAACCCCTACAAATGTTGAACGACACCTCAACA GAGCTGTGTTGATTATGCAATCCATCGCCACGGTAGTGGCGGTTGTCTCATTGGTGTACG TCATCTATAAACTCTTTGCTGGGTTCCAGGGCGCATATTCTGGTGCCCCCAAGCAAACGC TTAAGAAACCTGTTCTCCGCACAGCAACAGTGCAGGGTCCAAGCCTTGATTTTGCCCTAT CACTATTGAGAAGAAACATCAGGCAAGTGCAGACAGATCAAGGGCACTTCACCATGCTGG GTATCAGAGATCGCTTGGCTATCCTCCCGCGACATTCTCAACCTGGAAGGACTATCTGGG TGGAACACAAACTCGTGAACGTCCTGGATGCTATCGAGCTGGTGGATGAACAAGGGGTCA ACTTAGAGCTGACCTTAATCACCCTCGACACCAATGAGAAATTCAGGGATATCACCAAGT TCATTCCAGAAACCATTAGTGGTGCCAGCGATGCCACCTTAGTGATCAATACAGAGCACA TGCCCTCAATGTTTGTGCCAGTAGGTGATGTTGTACAGTATGGCTTCCTAAATCTCAGCG GGAAACCGACTCATCGCACTATGATGTATAACTTCCCTACTAAGGCAGGACAATGTGGAG GGGTAGTCACATCAGTTGGAAAGATCATTGGCATTCATATAGGAGGTAATGGTAGGCAGG GATTCTGTGCGGGACTCAAGAGAAGCTACTTTGCTAGTGAACAGGGAGAGATCCAATGGG TTAAACCTAACAAAGAAACAGGAAGACTCAACATCAATGGACCAACTCGCACCAAGCTCG AGCCTAGTGTGTTTCATGATGTCTTTGAGGGTGACAAGGAGCCAGCAGTCTTGCATAGTA AGGACCCCCGCCTTGAGGTGGACTTCGAGCAAGCATTGTTCTCCAAGTACGTGGGGAACA CACTACACGAACCTGATGAGTATATCAGGGAGGCAGCCCTCCACTATGCGAACCAATTAA AGCAGCTAGACATAAATACCTCCCAGATGAGCATGGAGGAGGCCTGTTATGGCACAGAAA ACCTTGAGGCTATTGACCTTCACACTAGTGCGGGATACCCCTATAGCGCGCTGGGAATAA AAAAGAGGGATATCTTAGACCCCATTACCAGAGATGTGAGCAAGATGAAGTTCTATATGG ATAAGTACGGTCTTGACCTCCCTTACTCCACCTATGTCAAAGATGAACTTCGCTCAATAG ATAAGATTAAGAAGGGGAAGTCTCGCTTGATTGAAGCTAGCAGCTTGAATGACTCGGTCT ACCTTAGAATGGCCTTTGGGCACCTCTATGAAGCTTTCCATGCGAACCCTGGCACTGTGA CTGGCTCAGCTGTGGGGTGTAACCCAGATGTATTTTGGAGCAAGCTACCAATCCTGCTTC CTGGTTCCCTCTTCGCTTTTGACTACTCAGGTTACGATGCTAGCCTCAGCCCAGTTTGGT TCAGAGCGTTGGAATTAGTCCTTAGAGAGATAGGTTATGGTGATGAGGCAGTCTCACTCA TTGAAGGAATCAACCATACACACCATGTGTACCGTAACAAAACCTACTGCGTACTTGGTG GAATGCCCTCAGGTTGCTCAGGGACATCCATCTTCAACTCAATGATTAATAACATCATCA TCAGAGCACTACTTATTAAAACATTCAAGGGCATTGATCTGGATGAACTCAACATGGTTG CCTACGGGGACGATGTGCTCGCTAGTTACCCCTTTCCAATTGACTGCCTGGAGCTAGCAA AGACAGGTAAGGAGTATGGCCTAACCATGACCCCTGCAGACAAGTCCCCTTGCTTCAATG AAGTTAATTGGGAAAATGCAACCTTCCTCAAGAGAGGCTTCTTGCCTGATGAGCAATTCC CGTTTTTGATCCACCCCACCATGCCAATGAAGGAGATTCATGAATCCATTCGGTGGACCA AGGATGCACGCAATACTCAAGATCACGTGCGGTCTCTATGTCTGTTGGCATGGCATAACG GTAAGCAAGAATATGAAAAATTTGTGAGCTCAATTAGATCCGTCCCAGTAGGAAAAGCAT TGGCAATCCCCAACTATGAAAATCTGAGACGTAATTGGCTCGAATTGTTTTAGAGGTTGG ACAAACGACTCAACCCCACCAGAAATCTGGTCGTGAATGTGACTGGTGGGGGTAAATTTG TTATAACCAGAATAGC ================================================ FILE: tests/input/TestMiseqToBam/RunInfo.xml ================================================ 000000000-AEF96 M04004 150821 ================================================ FILE: tests/input/TestMiseqToBam/SampleSheet.csv ================================================ [Header],,,,,,,,, IEMFileVersion,4,,,,,,,, Investigator Name,James,,,,,,,, Experiment Name,EBoV HS ,,,,,,,, Date,8/18/2015,,,,,,,, Workflow,GenerateFASTQ,,,,,,,, Application,FASTQ Only,,,,,,,, Assay,Nextera XT,,,,,,,, Description,,,,,,,,, Chemistry,Amplicon,,,,,,,, ,,,,,,,,, [Reads],,,,,,,,, 101,,,,,,,,, 101,,,,,,,,, ,,,,,,,,, [Settings],,,,,,,,, ReverseComplement,0,,,,,,,, ,,,,,,,,, [Data],,,,,,,,, Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,I5_Index_ID,index2,Sample_Project,Description mebv.0.6,,,,N702,CGTACTAG,S502,CTCTCTAT,, mebv.0.5,,,,N702,CGTACTAG,S503,TATCCTCT,, mebv.0.4,,,,N702,CGTACTAG,S504,AGAGTAGA,, mebv.0.3,,,,N702,CGTACTAG,S505,GTAAGGAG,, mebv.0.1,,,,N702,CGTACTAG,S508,CTAAGCCT,, mebv.4.6,,,,N703,AGGCAGAA,S502,CTCTCTAT,, mebv.4.5,,,,N703,AGGCAGAA,S503,TATCCTCT,, mebv.4.4,,,,N703,AGGCAGAA,S504,AGAGTAGA,, mebv.4.3,,,,N703,AGGCAGAA,S505,GTAAGGAG,, mebv.4.1,,,,N703,AGGCAGAA,S508,CTAAGCCT,, mebv.20.6,,,,N704,TCCTGAGC,S502,CTCTCTAT,, mebv.20.5,,,,N704,TCCTGAGC,S503,TATCCTCT,, mebv.20.4,,,,N704,TCCTGAGC,S504,AGAGTAGA,, mebv.20.3,,,,N704,TCCTGAGC,S505,GTAAGGAG,, mebv.20.1,,,,N704,TCCTGAGC,S508,CTAAGCCT,, mebv.48.6,,,,N705,GGACTCCT,S502,CTCTCTAT,, mebv.48.5,,,,N705,GGACTCCT,S503,TATCCTCT,, mebv.48.4,,,,N705,GGACTCCT,S504,AGAGTAGA,, mebv.48.3,,,,N705,GGACTCCT,S505,GTAAGGAG,, mebv.48.1,,,,N705,GGACTCCT,S508,CTAAGCCT,, ================================================ FILE: tests/input/TestMvicuna/expected_pairedOut.1.fastq ================================================ @from_ebov GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_ebov_dup_first_only GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB ================================================ FILE: tests/input/TestMvicuna/expected_pairedOut.2.fastq ================================================ @from_ebov TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA + BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC @ from_ebov_dup_first_only GCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC + EFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEF ================================================ FILE: tests/input/TestMvicuna/expected_unpairedOut.fastq ================================================ ================================================ FILE: tests/input/TestMvicuna/in.1.fastq ================================================ @from_ebov GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_ebov_dup1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_ebov_dup_first_only GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB ================================================ FILE: tests/input/TestMvicuna/in.2.fastq ================================================ @from_ebov TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA + BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC @from_ebov_dup1 TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA + BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC @ from_ebov_dup_first_only GCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC + EFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEF ================================================ FILE: tests/input/TestOrderAndOrient/contig.mummer3_fail_lasv.fasta ================================================ >comp1_c0_seq3 len=5847 path=[0:0-1960 17043:1961-1961 1962:1962-1979 1980:1980-1985 1986:1986-2022 17067:2023-2023 2024:2024-2051 17080:2052-2062 17091:2063-2105 17113:2106-2118 17126:2119-2131 14002:2132-2183 13863:2184-2238 2239:2239-2326 17203:2327-2331 13819:2332-2342 2343:2343-2404 13745:2405-2426 2427:2427-2530 13459:2531-2559 2560:2560-2573 2574:2574-2617 17294:2618-2628 17305:2629-2629 13336:2630-2645 13358:2646-2651 13140:2652-2652 13158:2653-2756 2757:2757-2798 2799:2799-2890 12980:2891-2914 2915:2915-2915 2916:2916-2930 2931:2931-2954 2955:2955-2978 2979:2979-3002 3003:3003-3020 3043:3021-3056 3079:3057-3074 3097:3075-3077 3100:3078-3122 3145:3123-3165 9172:3166-3169 9176:3170-3189 3212:3190-3191 9148:3192-3215 3238:3216-3281 3304:3282-3305 3328:3306-3326 3349:3327-3329 3352:3330-3488 8961:3489-3545 3568:3546-3962 8778:3963-4049 4072:4050-4103 4126:4104-4163 4186:4164-4177 8502:4178-4241 8566:4242-4242 4265:4243-4258 8408:4259-4352 4375:4353-4364 4387:4365-4388 8318:4389-4424 8378:4425-4430 8315:4431-4433 4456:4434-4445 8161:4446-4450 8203:4451-4475 4498:4476-4511 4534:4512-4514 4537:4515-4538 4561:4539-4541 4564:4542-4571 7868:4572-4601 4624:4602-4619 7735:4620-4680 4703:4681-4709 7687:4710-4712 7690:4713-4736 4759:4737-4760 7663:4761-4784 4807:4785-4901 4924:4902-5627 5650:5628-5735 7326:5736-5780 7371:5781-5781 7372:5782-5846] TCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATCAGCATAGTCCGCAGGT CTCTGTTTTGTGAAGATTGAGACAATGTCCACACCCGTCCATTGAACCCTTTGTTTCAAT CTATCAGACATCATTGATTTCAATGCACCAACCAAAAGATGCGGGGAACTATCACTAATC TCTCTTACAAACATTTCCAAATCTTGATCTTGGATAGATGGTGTAAATGTAGCCACCCTT CTATCAGACTCCCACAGTGCTCCCCTACATACAACCAATGGCACTGGTTCGTTGTCAGGT CCGACCTTGGAGAAGTCAAACTCACTGAACTGCAGTTTGTCTGGGTTAATGATGAGCTTC ATGGGTATAACATCCCCCAACTGCTGTGTATCTTTTAAGAATTCATTTACCACATCCGAC TCAACAAACCAGGCTGACCTACCTTTGAAAGTTGGACCAGACAAAGCAAGTCTCCAACAG TCAGGCAGAACACATGGGCTCACAGACCCAGAATATAGTGCCTGTACATCATTCACCACA AACTCACCACACTGATTAACAAGTCCTGTCATGTTGAGATGGATAGAAAAAGTCTCTTTA AAACTGGCATCCTGACTCTTGATTTTATATCTAATTGTTTGGTGAAACTGAACAGAGTCC ATTGGCATTGTACTTAATAAATCAAAGAAATCCTCAAGGGAATCTAGCCTCAGTTCCTCT GTCAGGCCTGAGGCAATAAGCTGGTTCAAGTTTATCTGAGCTGGTTCTATGTCAAAGTCT ATCCATGCATAACCCATCATTAGATCAAATTTAAACATAGGTCTCTCTACCCCTTTGTAA ATAGCTTTCTCAACAAATGAAGAGAAGGGACCCAGTCGTTGCAGACCTTCACCCTCTGGT ATTGAGGTTTTGTGAGGGAACCAAGTAAATGACCCAAGCGTCCTTGTTGTTGCTACAAAA GAGCGGACATATGACTCAAAGTAGATTTGTCTCATAAAGTTGTCCACTGCATCAGCAGTA CTGACCACCCTCTCTTCCATCATGGGCTCATGTGTACGAGAATGTGAGTTTCTCAGTTCA GAAGCCAATACAACATAATGCTCCTCCCTCTTCCACTTAACAATATGTGAGACAAGTGAA AGTGCCTCGCAATTCACATCTAAAGCAACACAAAGATCAAGGAACTTAATTCTAGGTGAC CATTTCATCTTTGTGGAGGCTAAATCACTCATAAATGGCAATATGTGCTTCTCAAATAGA GACGGATATAAACGTCTCAAAGAGTGAATGATGTGGCTCATGCCAACCCTATCCTCTAGC AGTTTCGAAATAGTGGGTCTCAAGGGGAAGTAATCACAGGGATTATGTTTAAAAAAGTCC GAGATCTGAGCTTGTTTTGGTTCCCCGAGCACCCATGCTCCAAGTTCTATAGCTGTAGAT AGTGCTATGCACATATAATCCCATAGAAGAGGTCTTAAATAAGTGACAACAGTATCACCT CCATCTTTGACTTCTGGTGAAACTTTCCATATCTGGATTCCACTGTCCTCCATCACTGCT TCAATACCTTGAGTCTCTAGTAGCTGAGTCTGTATGGATCTAATGTAAAGATTCTCTTTG TTGGGGCCTCTGACACACTTGCTACCCAGTGTTCTGCACAACCCTACAAACCCAGATGCT ATAGAACTTTGGAAAGCTGACTTATTTATTGCTTCAGACAGTAGCTTCTGAGCCCCTCTA GTGAATGTCGATGACAACCTATTTTGCAAAGTTTTTACTATTGTAGGGACCTTTTCATCT TCCAGATTTACAGCACCAGAATAGATTATCTTTTGCCGCAACACCATTCTAAGTGGGTGA TGGGCGGCTAAGTTCAACCAATGAATCCCCAAGTCAGAATCAGACAAAGGTTCAATGCCT AGAAGTTTAAACAAATTCTGTAATGATGTTGTGTGTTCACCCAATAGGTAATTGGTAGTA AATTCCTCATGAAGCTCACCAGTTTTTAATTTATTGAACAATATCCTAAGCATTGACCTC ATTCTTTTGCAGGCATCAGGAATTAGCCTCTCAATCTGCCTCATTATTCTATAACTACGA TTCCCGTCCACCCAATCTCTTACATCAGTCTCACAGTTCAAAAGGAATGGGTCAATAGGA TACTTGGCATAACATAACAAACTTAAGGTCCTCTTCTGAATTTGATTACACAGATCAACT GGGACACCATTAGCCACAGATTGATCAATTATGGTATCAATTGTCTCTGCTAATTGATGG GGTTCTTTACACTTTATGTTATGTAAAGCCGCAGCAACAAATTTTGTTAGCAGAGGCACC TCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCAATTGCACTC TTTGGGCTCACAAATTTATTCAGCTGGTCACTCATGTAGTAATGGAATTCTAACAATGTT TTAAATTCTTCTGTGTCCCTTGAGAGTAACTCTGTTAAGTTCTGATCAAATAATGATATC TGATCATCACTGGACGTGTAAGCATCGATTTGTCCTCCAGACACACACCTCACCGCAAAA TTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGCAGGATACCCTGT CCCATATCAAGGATTGAACTAATGTGTGAGGGGACTGTGCCAACTTGAAAGTTGGAATTG AAAAAGTCTTCGGTCAATGATTGAGTTGTCTTCTTTTTCAATCCAAGTTGGGATTTGATG TATGATTTCATCATTGCTGACACAACATTAAATGGGATCTCAACCATTTTGTGCATATGC CATGTTAATAATGTTGATAGGTAATCTTTGCCTTTTAGATCAGCTTGTAAATCATCAGAA AGTAAGATCAGGTTTTGAATTATTGTTAGAAACAGGAAAGGACACATCATAGGGCCCCAC TTACTGTGATCCATACTATATGATACATGTGCCGATGAGACATTCAGCTTCATTGACAAA ATAGCATTGTCAAACTCCTTCTCATTGTTTAGACAGCTGCCTGCCAATTGTGATGTGAGC GCCTCAAAGTAATCCTCAATAAGCCTTGTGAACATCTTTGTCCTTAAATCTCCGATGTAC AATTCTCTATTGCCTCCCACTTGTTCCTTGTAAGACAAAGAAAATTTTAGTCTACCAGTG TCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCTTGGCTGTAAAAACACAGATTTTTT AACATTGCTGTAGTACAGTTAGTTAAAGACAAGGCCTTACTAAGTGCTTCAGAATTACTC TCACGCTCACTTATCCTGACATCATCAGCCAATCTTCCTGTATCAAATTTAAAGTTCAAA CATTTACTCTTATAATGAGAATACCTTCCCATCAACCTATTCCCATTCATCACTAGTAAA ATTGACTTAAAGCACTGGAAATATTCTTGGTCCAAAAAAGTCCTAGTCACCACTGCCTTT GTCAGCTCACTAATAGGACATGAATTCATTGGTCCTACATAAAAATATTTACTTCTCAAA GAAGCGTCATTGTAGATATTCTCACAAATTTTGATGTATTGATCCTCAGATAGGATTTCT CGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATCAACCTTATTAAGAGT TTTTCTTCTATCACCTTGTCAAGATCAGATATTGAGGGTGTATTGCAGTCTGCCTGCTGC TGTCTTTCCGGTTGCTCCCTATACTGACTGATAATATTGTCAACAGTGCACCTTAGTTGG TCGAAGTATTCTGATGCTCCTCCATCCAATAGTATCTCATCTAGGTCAGCATTATTGGTA TCATCATTCCTTCCTTTGGACCCTAGGACAAGATTACTCATTGCTTGCTGTATCTTGTAA TCATAATCCTGTTTGTTAAGCAAGAATTTGCCTTTACGTGCAAACACTTCAGTTAACTGT GTGACAGCCAAAGCTGTAAGCTTGTTGAAGTCATAATCCAGAATACGGGACCCATCTGTA TACTTATTTACAACAACACTCTTATTACTAGCCAAGTCCAAAGCTGTTGCACAGCCGCTT GTAATAAGAGGGTCTCGCAGTGTCTTCTTTACCTCCTTTTCTTTGAACAATGAACCATTA TTGAAACTGGACACAAGGAGTGAAATAAATTTCTTGGAAACACCAGGCTTTTTATACCTA ATTTTTTCCGCATCTGCACAACATTCTTTACTTAGAAACTTTCTTGCATTATAAACCATT TCAGCAAGCTCTTCCTCCGATGCATCATCCTTCGGGTTCACACTTACATGTCCAAACTCC AATTTGGGTTCAAGGAATTTCTCAAAGCATTTAATCTGGTCAGTCAGTCTGTCAGGTGTT TCTTTTGTAATGAAATGACACATATAAGAGATGTTCAAAACAAACTTGAATCTATTGGTC ATCATACTGACAACTTCTTCAGACAGAATTATCTTCAATAAGTGACGAACAAGTCTGTAG AGCAGATATTCGACTTCTGTGATCAAATCCTCCCTGATCTTCTCAATCAAATCCTTGTGA TAAAAATCGGACACAAAGGCCATCACAAAGTACCTGATGTTCTGTAAAAATTTTTGACAC CTTTTACTAGGATGTGTCAGTATTAAAACTAAAATCATTTTGGTTAACAATTTAATAGTG TTCAATTGTTCAGATAACTCTGTGCACTCTTCTATCCAGCTGACCATAACATCGACCACT TTCTGCAACACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTGGGATCAGCATAAAAG GAACAAACCTCTCCAACTACATTGTTGTTAATAGCATAACATTTTGAGCATTCACCTGTT TTTTGATATAATAGTTTGAATCCCATCCTATTGATGAAGAATTCTTGGCAATAGGCCTCT TTGCACCTCACAACCTGGTATCTAGAAGGACCAAATTCATTTTGCCTTAGTTTCACTGTA GAAGACGTTTTCATTGAGTTGATCAAGGCCAAGCTCAATGATGATAGTCTTTCTAAGTCT GTTGCATCTAGAATGTCAATAACGCCAAGAGTGTAAGGGAACATGTCCTCTTGAGTTTTC TGGTAACTTATAGTAGGTGTGATGCCGGAGATCTCAATGTCCATGATGGCATCATAAACA TCACAATCAAGGATCTTGGAGTCAATTCCATAAGAGTTGGTTTCTATACCAACCTCTCTC AAAGCATTAGTAGCTCGAGTTAAAACCCTGTTGATGATGGCAAGGAGCTCACAATTTCGT TCCTCTTTAAGTGACAGGACACCTACATTCTTGTCTTTAGTTCTCTTCCTGCTGTCCATC CACCGTTTTAGATCTCTTTTTGTTGATTCCAATGAAACTAATCTATCGTTAACACTCACA AAACAAGAGCCCAGCCAACCAGCAAGGAGCTTGTCACCATGCCTTATGCGGTCCAGCCGG CTAGCAAGAAGAATCAGAACATCAAAAATAAGGAGAAGTTTCCTCCTAGTGTTGAGGATC CTCAGGGATTTTATTTTATTTAGAAAAGATCTCCAACACTGCATCTGTTCACTTTGAGGG TCAGCAACCTTTTCCTTACCAGAATCCAAATCTGCATACAAGAATTTAAGGACTGGAGAG GCTCTTCGGAACTGGAATGTTAACTGTTCAATATTGTCATCACAGGTGCCTATCTTATCA CAATACAGCTTTCTGAAATCCTCTAATAATTTCATCTTATCAGTCTTAACAAATTGACTT TCTATATTCCCTTGCCTTAGTTTGTTCCTGAAGATTTGATACTCCTCCTCAATTAAACTC TTGACTTCATAAGAGGTGAGCTTATTG ================================================ FILE: tests/input/TestOrderAndOrient/contigs.ebov.doublehit.fasta ================================================ >comp0_c0_seq1 len=6894 path=[0:0-898 923:899-1207 1232:1208-2491 2516:2492-2532 2557:2533-3421 6937:3422-3506 3462:3507-4040 3996:4041-4066 4062:4067-4717 4737:4718-6782 6802:6783-6893] CTCTATCTTGGTGATATGGCTCTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCA AGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAA TCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTG ATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACA AGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAA CAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCA CAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGA ATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGT TCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTAT CATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCAT GCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGT CAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCG CCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGC CATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCT ATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAAT TCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACA CATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACA CCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGT GGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACA AAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGA GGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTT CGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACT GTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGT TGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACA ATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCT TATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAAC TCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAA AACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGA CGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGA TGTGGTAGTTGACCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGG CATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAA GCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCA TACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAAC AATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTC AACCAGCCCTCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGA CGACGAGACGTCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGG AACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGA AAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAA CCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCT AAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGT AGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATA TCCACCATGGCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGA TGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCA ACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCTAACATT AAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCA CAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTC AAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGT AACTCAATATCTTAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTA CCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGA AGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGT CTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCC ATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCT CTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACA ATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCA ACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACAT TGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAAC GCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCT CATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCG GTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCAC CACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATG AGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAA CTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATG ATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGG GAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAG GAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATG CTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGA GCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGC TTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGA GGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACA CTTGTGAGTATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCA TATCCCGCTAGCAGCTTTAAAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATA ATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCG ACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAA ATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTG CCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGG AGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCG ACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGA ATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTG TCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCAT ATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTC CTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGG AGTTCGTTCTTCCACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCA AACTGATCACTCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAA ATGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCA ACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAA TAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGG GTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAA ATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTC CAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTC TTCCAGCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCT TCTCAGGGATAGTGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAAT TGATCAATATACTAAAGGTGCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCT TAACAAAAGACTCATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTA ATAACATTACAAACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCA TTGCACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCC AGTGTGACTTGGATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACA ATCTAAGTACAGACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGA CAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGG TCCTTTTCAATTGGATAACCAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACA CAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCT TTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACA ATAGTACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCA CAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGC CATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATG AAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTG AGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACA AAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCT TCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTG TCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGA GAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGAT ATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGA CCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAA TATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCG AAATTGATACAGCTGTGAAAGACAACTCTTCACTGCGAATTTTTCTAGTGAGGTTTTTTT AGTTTCCCAGAAGGCCCACTCCCCGATTGTTGTATCAATTTCGGGGTTGACCTT >comp0_c0_seq2 len=4742 path=[0:0-898 923:899-1207 1232:1208-2491 2516:2492-2532 2557:2533-3421 6937:3422-3506 3462:3507-4040 3996:4041-4066 4062:4067-4717 4713:4718-4741] CTCTATCTTGGTGATATGGCTCTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCA AGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAA TCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTG ATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACA AGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAA CAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCA CAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGA ATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGT TCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTAT CATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCAT GCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGT CAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCG CCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGC CATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCT ATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAAT TCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACA CATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACA CCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGT GGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACA AAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGA GGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTT CGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACT GTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGT TGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACA ATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCT TATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAAC TCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAA AACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGA CGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGA TGTGGTAGTTGACCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGG CATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAA GCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCA TACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAAC AATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTC AACCAGCCCTCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGA CGACGAGACGTCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGG AACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGA AAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAA CCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCT AAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGT AGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATA TCCACCATGGCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGA TGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCA ACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCTAACATT AAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCA CAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTC AAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGT AACTCAATATCTTAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTA CCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGA AGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGT CTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCC ATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCT CTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACA ATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCA ACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACAT TGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAAC GCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCT CATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCG GTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCAC CACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATG AGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAA CTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATG ATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGG GAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAG GAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATG CTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGA GCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGC TTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGA GGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACA CTTGTGAGTATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCA TATCCCGCTAGCAGCTTTAAAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATA ATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCG ACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAA ATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTG CCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGG AGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCG ACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGA ATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTG TCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGCCTAGAGGAAGCCAAATTGGAA TT >comp0_c0_seq3 len=4084 path=[0:0-898 923:899-1207 1232:1208-2491 2516:2492-2532 2557:2533-3421 6937:3422-3506 3462:3507-4040 3996:4041-4066 4022:4067-4083] CTCTATCTTGGTGATATGGCTCTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCA AGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAA TCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTG ATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACA AGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAA CAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCA CAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGA ATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGT TCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTAT CATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCAT GCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGT CAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCG CCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGC CATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCT ATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAAT TCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACA CATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACA CCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGT GGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACA AAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGA GGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTT CGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACT GTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGT TGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACA ATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCT TATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAAC TCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAA AACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGA CGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGA TGTGGTAGTTGACCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGG CATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAA GCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCA TACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAAC AATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTC AACCAGCCCTCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGA CGACGAGACGTCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGG AACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGA AAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAA CCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCT AAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGT AGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATA TCCACCATGGCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGA TGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCA ACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCTAACATT AAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCA CAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTC AAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGT AACTCAATATCTTAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTA CCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGA AGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGT CTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCC ATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCT CTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACA ATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCA ACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACAT TGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAAC GCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCT CATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCG GTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCAC CACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATG AGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAA CTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATG ATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGG GAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAG GAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATG CTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGA GCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGC TTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTCGGAGGGAAAAGA GATT >comp0_c0_seq4 len=1980 path=[7113:0-132 7246:133-614 7728:615-1078 8216:1079-1650 8788:1651-1868 6802:1869-1979] ACTGATCCACAAGTCTTACGGGCGATTAGTAGGAGTAATTCCCTATCAGTTAAACTTTCT AACTGGTGGTCTTTTTTGCAAAAACTACTGTCACACAAAAATCCTTTTTTCAAGGTCGGA CATATGTCTTTAGGTGCTGGAGGAACTGTTAATGGTTCAACTCTCTTCTTATGAAATACA GTAGGAACGCGCACTTGTGAGGCGCTCCTTGATTGACGGTACTCACCTCGATAATTCTCT CTGGATGATGATCGTGCTCGAACATGGTGGTCGTGTCCATCCCTTGAATGCTGTCTGGCA GCTCGGGGGCGTCCTCTCTCATATGAAGCTTCCATTTAAGAGTTGTCTGCACTCACTGTT TAAATTTCTATTGACTTTTTTACCAATGCTTTGTGTGTGTTAGGTTACAACTAAATTCTA CCGGTTTGCAGATCTGATTATTACAACTTAATAAAAAGGCTTTTTTCCTTTTTCATTAAA GACAACTGTCATGATTGTAGAATCAAGGATGAAGACTAAAGATAATCGAAAGATTACCTT TTTCTTAATCTTCATCAAGTTTATCATTCTTAAAGATATAGCTAGATTGATGTCAAACCT TGTTTATGATTAACTGTGAGTTTAAAGGAGTTAGAATCACATTGGCTATGTTTGAAGCTC CAGTGTATTATGTTATCATTTGTCAAGTAATCTTAGATTCAAGTGATTCATATAATTAAA TCCTAGTTTCATTGATTTGAGGTTGAGTTTTGCCGTGAAACAATCTGAAGAAAGACTAAA AGACAAATTTGCATATACAGAATAAAGCGATAACTGCAATTATAACACCTGTAACTCCAA TACCTGCCGGTATCCATTGTCTCCATCCTGTCCACCAATTGTCATTGTCCCCCTGGTCCG GAAGGGTTTTATCAACAAAATCATGAATAATCTGATCAATTTTGTCTGTTATGTTCTTGG TCCAATCATGTGGTTCGATACAGCAGTCCGGTCCCAAAATGTGGCATGTGCCACCCCATC GCTGCAGCAGGAAGTCAATTGCCTTACGGTTGAGGATTGAAAAGGTTCGCAGCTCAGTTG TGGCTCTCAGGAACAGTTGGAGAGCTTGAGTCGTTTCGTTGGCCAGCTGCCTCAACCCAC AGATTAAACCATCTTGGTTGTGCATTAGCCCCTCTGTGTAAATTCCTTCGGCTGCTGGCC CGAAATATGGTATCCAGGCCAATCCGATTGCAGCACCTTCATCCTGAGTAGTCCAGTAAT GTAAATTGGGGTTGCATTTGGGTTGAGCATTGACAATTACTTCTCTTCGAGTCCTTCTCC CGCCTGTGATCAGTCCTGCTACTCCAGCAATAGTATTGGTAATTAAGCCTAGCTTCCCGC TGCTGGCACTCTCTTCTCCGGTATCTTGGTGATGAGTGTTGTTGTTGCCAGCAGTCTCGC TGTAGTTTTGGGGGCTTGTCGTGGTGGCGAGGTCCAGGGAGTCAGCGCTCTTACTCGTGT TGGTGTTCTCTGCTTTTAAGGGTCCGGCTGCGGTCGTGGCGGGGGGAGTGTCGGAGGCTG TGCTGTCGTTGTCTGCTCTACGGTGATGTTGTCCAACTTGAGTTGCCTCAGAGATGTCAA GTTTATACACGGGTGTATTATGGGTGCTGTTGTCCGGACCTGTTTTGGTTGTGGGAGGTT GAGGACTCGTGGAGATTGTGGCAAGGGTTGTCAGATGCGACACTGCAGCTTTCCTTCCTT GACTGTGCACTTGAACCATTGCAGAGGAATTTTCTGAAGCCATGATTTTGTGGTCTTCAT TTGTTGTGTTGGTCTCTGGGTCGGAAGAAGTTCGCGCCGGACTCTGACCACTGATGTTTT TGGGTCCGTTTGATACAGCTGTGAAAGACAACTCTTCACTGCGAATTTTTCTAGTGAGGT TTTTTTAGTTTCCCAGAAGGCCCACTCCCCGATTGTTGTATCAATTTCGGGGTTGACCTT >comp0_c0_seq5 len=1880 path=[9164:0-32 7246:33-514 7728:515-978 8216:979-1550 8788:1551-1768 6802:1769-1879] GACATATGTCCGACCTTGAAAAAAAGGATTTTTGTGCTGGAGGAACTGTTAATGGTTCAA CTCTCTTCTTATGAAATACAGTAGGAACGCGCACTTGTGAGGCGCTCCTTGATTGACGGT ACTCACCTCGATAATTCTCTCTGGATGATGATCGTGCTCGAACATGGTGGTCGTGTCCAT CCCTTGAATGCTGTCTGGCAGCTCGGGGGCGTCCTCTCTCATATGAAGCTTCCATTTAAG AGTTGTCTGCACTCACTGTTTAAATTTCTATTGACTTTTTTACCAATGCTTTGTGTGTGT TAGGTTACAACTAAATTCTACCGGTTTGCAGATCTGATTATTACAACTTAATAAAAAGGC TTTTTTCCTTTTTCATTAAAGACAACTGTCATGATTGTAGAATCAAGGATGAAGACTAAA GATAATCGAAAGATTACCTTTTTCTTAATCTTCATCAAGTTTATCATTCTTAAAGATATA GCTAGATTGATGTCAAACCTTGTTTATGATTAACTGTGAGTTTAAAGGAGTTAGAATCAC ATTGGCTATGTTTGAAGCTCCAGTGTATTATGTTATCATTTGTCAAGTAATCTTAGATTC AAGTGATTCATATAATTAAATCCTAGTTTCATTGATTTGAGGTTGAGTTTTGCCGTGAAA CAATCTGAAGAAAGACTAAAAGACAAATTTGCATATACAGAATAAAGCGATAACTGCAAT TATAACACCTGTAACTCCAATACCTGCCGGTATCCATTGTCTCCATCCTGTCCACCAATT GTCATTGTCCCCCTGGTCCGGAAGGGTTTTATCAACAAAATCATGAATAATCTGATCAAT TTTGTCTGTTATGTTCTTGGTCCAATCATGTGGTTCGATACAGCAGTCCGGTCCCAAAAT GTGGCATGTGCCACCCCATCGCTGCAGCAGGAAGTCAATTGCCTTACGGTTGAGGATTGA AAAGGTTCGCAGCTCAGTTGTGGCTCTCAGGAACAGTTGGAGAGCTTGAGTCGTTTCGTT GGCCAGCTGCCTCAACCCACAGATTAAACCATCTTGGTTGTGCATTAGCCCCTCTGTGTA AATTCCTTCGGCTGCTGGCCCGAAATATGGTATCCAGGCCAATCCGATTGCAGCACCTTC ATCCTGAGTAGTCCAGTAATGTAAATTGGGGTTGCATTTGGGTTGAGCATTGACAATTAC TTCTCTTCGAGTCCTTCTCCCGCCTGTGATCAGTCCTGCTACTCCAGCAATAGTATTGGT AATTAAGCCTAGCTTCCCGCTGCTGGCACTCTCTTCTCCGGTATCTTGGTGATGAGTGTT GTTGTTGCCAGCAGTCTCGCTGTAGTTTTGGGGGCTTGTCGTGGTGGCGAGGTCCAGGGA GTCAGCGCTCTTACTCGTGTTGGTGTTCTCTGCTTTTAAGGGTCCGGCTGCGGTCGTGGC GGGGGGAGTGTCGGAGGCTGTGCTGTCGTTGTCTGCTCTACGGTGATGTTGTCCAACTTG AGTTGCCTCAGAGATGTCAAGTTTATACACGGGTGTATTATGGGTGCTGTTGTCCGGACC TGTTTTGGTTGTGGGAGGTTGAGGACTCGTGGAGATTGTGGCAAGGGTTGTCAGATGCGA CACTGCAGCTTTCCTTCCTTGACTGTGCACTTGAACCATTGCAGAGGAATTTTCTGAAGC CATGATTTTGTGGTCTTCATTTGTTGTGTTGGTCTCTGGGTCGGAAGAAGTTCGCGCCGG ACTCTGACCACTGATGTTTTTGGGTCCGTTTGATACAGCTGTGAAAGACAACTCTTCACT GCGAATTTTTCTAGTGAGGTTTTTTTAGTTTCCCAGAAGGCCCACTCCCCGATTGTTGTA TCAATTTCGGGGTTGACCTT >comp0_c0_seq6 len=1231 path=[0:0-898 923:899-1207 9265:1208-1230] CTCTATCTTGGTGATATGGCTCTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCA AGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAA TCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTG ATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACA AGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAA CAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCA CAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGA ATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGT TCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTAT CATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCAT GCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGT CAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCG CCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGC CATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCT ATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAAT TCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACA CATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACA CCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGT GGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACA AAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGA GGTGAACTCCTTGTTCTGTCTTTTGTAGGAT >comp0_c0_seq7 len=925 path=[9197:0-23 8216:24-595 8788:596-813 6802:814-924] CCCCATCGCTGCAGCAGCGATGGGGTGGCTCTCAGGAACAGTTGGAGAGCTTGAGTCGTT TCGTTGGCCAGCTGCCTCAACCCACAGATTAAACCATCTTGGTTGTGCATTAGCCCCTCT GTGTAAATTCCTTCGGCTGCTGGCCCGAAATATGGTATCCAGGCCAATCCGATTGCAGCA CCTTCATCCTGAGTAGTCCAGTAATGTAAATTGGGGTTGCATTTGGGTTGAGCATTGACA ATTACTTCTCTTCGAGTCCTTCTCCCGCCTGTGATCAGTCCTGCTACTCCAGCAATAGTA TTGGTAATTAAGCCTAGCTTCCCGCTGCTGGCACTCTCTTCTCCGGTATCTTGGTGATGA GTGTTGTTGTTGCCAGCAGTCTCGCTGTAGTTTTGGGGGCTTGTCGTGGTGGCGAGGTCC AGGGAGTCAGCGCTCTTACTCGTGTTGGTGTTCTCTGCTTTTAAGGGTCCGGCTGCGGTC GTGGCGGGGGGAGTGTCGGAGGCTGTGCTGTCGTTGTCTGCTCTACGGTGATGTTGTCCA ACTTGAGTTGCCTCAGAGATGTCAAGTTTATACACGGGTGTATTATGGGTGCTGTTGTCC GGACCTGTTTTGGTTGTGGGAGGTTGAGGACTCGTGGAGATTGTGGCAAGGGTTGTCAGA TGCGACACTGCAGCTTTCCTTCCTTGACTGTGCACTTGAACCATTGCAGAGGAATTTTCT GAAGCCATGATTTTGTGGTCTTCATTTGTTGTGTTGGTCTCTGGGTCGGAAGAAGTTCGC GCCGGACTCTGACCACTGATGTTTTTGGGTCCGTTTGATACAGCTGTGAAAGACAACTCT TCACTGCGAATTTTTCTAGTGAGGTTTTTTTAGTTTCCCAGAAGGCCCACTCCCCGATTG TTGTATCAATTTCGGGGTTGACCTT >comp0_c0_seq8 len=923 path=[0:0-898 899:899-922] CTCTATCTTGGTGATATGGCTCTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCA AGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAA TCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTG ATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACA AGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAA CAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCA CAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGA ATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGT TCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTAT CATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCAT GCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGT CAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCG CCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGC CATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCT ATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAAC CTTTTCTCCTACTACCAATTTCG >comp0_c0_seq9 len=905 path=[2557:0-888 3446:889-904] TATTGGCCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGA ATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGA ACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGAT TCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTG AGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTT AGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGC CCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTT CATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAA GAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCAC GACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAAT GACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATG CTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCA AACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGC TACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCT TGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCAGTTGCCGCAGC GGTTG >comp0_c0_seq10 len=367 path=[9054:0-37 8788:38-255 6802:256-366] GACACTGCAGCTTTCCTTCCTTGCCACAATCTCCACGAGTCCGGACCTGTTTTGGTTGTG GGAGGTTGAGGACTCGTGGAGATTGTGGCAAGGGTTGTCAGATGCGACACTGCAGCTTTC CTTCCTTGACTGTGCACTTGAACCATTGCAGAGGAATTTTCTGAAGCCATGATTTTGTGG TCTTCATTTGTTGTGTTGGTCTCTGGGTCGGAAGAAGTTCGCGCCGGACTCTGACCACTG ATGTTTTTGGGTCCGTTTGATACAGCTGTGAAAGACAACTCTTCACTGCGAATTTTTCTA GTGAGGTTTTTTTAGTTTCCCAGAAGGCCCACTCCCCGATTGTTGTATCAATTTCGGGGT TGACCTT >comp1_c0_seq1 len=1997 path=[0:0-1996] GTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTT TGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCC TTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTCTTCAACACGCTAGCTACTGAG TCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTT ATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATA ACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTC GAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAA GCTGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTGGTCCTT AAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTT TTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTAT CTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGT TGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTA AGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTT CCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCA CTAGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAAT GATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAA GGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACAAGCATTA AAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGC AATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTA TATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTG AGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATA CTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACA TCATCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTAT ACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAGCATGTGT GACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATAATT AAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATAT CTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTT TAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAG CCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTA AGCTACTATTCCATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAATCAGAA ATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGGC ATTGACCACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATCCCTGGAAA AATGGTCACACACAAAAAAGAAGAAATAGATTTATTTTTAAATTTTTGTGTGCGACCATT TTTCCAGGGATCCTTTT >comp6_c0_seq1 len=1913 path=[0:0-648 674:649-734 760:735-745 771:746-1333 1359:1334-1443 1469:1444-1838 1864:1839-1844 1870:1845-1912] GAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTC TGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTG CGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAG ACTGATGCAGGCGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGC CTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACAT TCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCC CTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGG ACCCTGGCTAGTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTT CCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCAT CACCTCGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGAT TTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTG AATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAG TTAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAG AACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCT GGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGT GCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATG GTTTGTAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTT TCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACA TTATTAGCCTCTAAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGG AAGATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATC CTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAA TATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATG ATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAAT GCCAAGCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGT GCATGGCCAAATGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGA TCAAGGACAGAAGATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCC TTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAAC AGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATA CTTCAAATGACCCCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATCAATAC AGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCT ACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGAACAGTGCAACTGCATAATTT ATAACATTCTGGAAAATAATATTGCTGTCGCGTGCCGATTGGCCACCTCCTGA >comp6_c0_seq2 len=674 path=[0:0-648 649:649-673] GAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTC TGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTG CGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAG ACTGATGCAGGCGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGC CTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACAT TCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCC CTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGG ACCCTGGCTAGTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTT CCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCAT CACCTCGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGAT TTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTCATCCATCTCA ATCATTCGGAGACT >comp5_c0_seq1 len=1538 path=[0:0-446 447:447-578 621:579-1537] AATGGCTACACAACATACCCAATACCCAGACGCCAGGTTATTGGGTATGTTGTGTAGCCA TTTAATATCAAGAGGAAGAATGTCAACTGCTTCATCTAAAACACGGAAAGACCCAATAAG CAGTTTTTCTTAATCTTCCTCAAGCTTTTTTCTTAACCTACTTATCTAATGTTAGTTACG AGTATGGAGTTAGTAATATATATAATTTGTGAAACCTAACACACATGACCTGCGGGTTTA GTTACAATTAACCATTTCGTATATTGGATTTCTAGTGATAAAATGCTTATTAATATAATA AAGCAATTCTATGATGTTGTCTTGGAATCTCTTATTTGAGGGATTCTGAGTCCTGGTTTT TGTAAGGGTGTCAACTTGGAAGCTGGCTTACAGTGAGGATTTATCTGTGGTTAAACAAAT TATCAAGAAATATGAGTATTTATTTATTATGCTTATATATCTGATTATGAAGGCAGAGAT GTCAAGTTAACTATTGAGTCAGCATATATGAGTTAGCCCAATATGAAGTATTCCATCTTA GTTAGATAGCAAGAGAGCTATTGAATTCAAGAATTAAACTTTGCATTCGTGTCGAGGACC CTTGTGTAAATGCTTTCAGTGTGGACTCATGAAGGAGGGAAAATTTCGCCGGCCCAGGCT TCTTGCGGTTCATTGCCGATTTGTCGGGTTCTTGGAGCTCCACCAGAAAACCCATGTTAG TTCGAGTTATGATGATTGTATGATTTTGAGTTCCAATTTCAATACTGCTCAATAATCCAT TGTAGTTCACGACATGTAGAGCATCCAATTTGTTAATAAACTTGAGAATATTGGATCGAA TCAACGACAGCATTTTTAGGCTCAATTGTTCCTTGACACGTTGTGTTCGCATGTTGAAAT GGTTAGTGTTGGTTGTTAGCAGCCAATCAGAGATCAGACCAAGGGCTCCTGCTAAGGGTT CAATCAAAGACTGGTCAATTAACTGGTCCTGTATCCCTGCTGCAAGGATGACTCTCAGTG CCCACAGCGGTGATTCAATAGTGGAATTCGGATTTTGAAATAAATGGGGAAATAGGTTCC TTGTCATTGACCATGCAGGGGCAAAGTCATTAGTTTTCAGTCTATGCAATAGGGCCATTC CTTTGTGAGTCACATCAAACTCAATACCAGCCCAATAAACTTTCCACCCTTGAATAGTTT GACTAACTAAGAAGTTACAGAGGTCGCTTAAGACAACCCCTTTCTCCAGGTCCTTTTTGG GCGATATTAGATTGTATCGTCCCGTAGCTTTGGCCATGGTTTTTTCTCAGGTCTTGCTTG GTGTCTGGAGTATCGATATTTTGTTGTCTAGACACTCTCAGTTCAACCTTGTAACCTTGC GCTCGATTGTTGGAACGACGCTCTTATTTTTTAATTGTGAGGGTGCTCAAAGTAATGTTC GTTGTAGGTGGGCTTCTTTTCAGCCAATGGAGTTGACCTGGTGGAGTTAGCCCAGATTTA TGCACTAAATTTTAAATGGCTAAGTTCAATTAGATATT >comp5_c0_seq2 len=1133 path=[447:0-131 579:132-173 621:174-1132] TATGCTTATATATCTGATTATGAAGGCAGAGATGTCAAGTTAACTATTGAGTCAGCATAT ATGAGTTAGCCCAATATGAAGTATTCCATCTTAGTTAGATAGCAAGAGAGCTATTGAATT CAAGAATTAAACTTTGCATTCGTGTCGAGGACCCATGAGTCCACACTGAAAGCATTTGCA TTCGTGTCGAGGACCCTTGTGTAAATGCTTTCAGTGTGGACTCATGAAGGAGGGAAAATT TCGCCGGCCCAGGCTTCTTGCGGTTCATTGCCGATTTGTCGGGTTCTTGGAGCTCCACCA GAAAACCCATGTTAGTTCGAGTTATGATGATTGTATGATTTTGAGTTCCAATTTCAATAC TGCTCAATAATCCATTGTAGTTCACGACATGTAGAGCATCCAATTTGTTAATAAACTTGA GAATATTGGATCGAATCAACGACAGCATTTTTAGGCTCAATTGTTCCTTGACACGTTGTG TTCGCATGTTGAAATGGTTAGTGTTGGTTGTTAGCAGCCAATCAGAGATCAGACCAAGGG CTCCTGCTAAGGGTTCAATCAAAGACTGGTCAATTAACTGGTCCTGTATCCCTGCTGCAA GGATGACTCTCAGTGCCCACAGCGGTGATTCAATAGTGGAATTCGGATTTTGAAATAAAT GGGGAAATAGGTTCCTTGTCATTGACCATGCAGGGGCAAAGTCATTAGTTTTCAGTCTAT GCAATAGGGCCATTCCTTTGTGAGTCACATCAAACTCAATACCAGCCCAATAAACTTTCC ACCCTTGAATAGTTTGACTAACTAAGAAGTTACAGAGGTCGCTTAAGACAACCCCTTTCT CCAGGTCCTTTTTGGGCGATATTAGATTGTATCGTCCCGTAGCTTTGGCCATGGTTTTTT CTCAGGTCTTGCTTGGTGTCTGGAGTATCGATATTTTGTTGTCTAGACACTCTCAGTTCA ACCTTGTAACCTTGCGCTCGATTGTTGGAACGACGCTCTTATTTTTTAATTGTGAGGGTG CTCAAAGTAATGTTCGTTGTAGGTGGGCTTCTTTTCAGCCAATGGAGTTGACCTGGTGGA GTTAGCCCAGATTTATGCACTAAATTTTAAATGGCTAAGTTCAATTAGATATT >comp5_c0_seq3 len=1121 path=[1582:0-29 447:30-161 621:162-1120] GAATTAAACTTTGCATTGGGCTAACTCATATATGCTTATATATCTGATTATGAAGGCAGA GATGTCAAGTTAACTATTGAGTCAGCATATATGAGTTAGCCCAATATGAAGTATTCCATC TTAGTTAGATAGCAAGAGAGCTATTGAATTCAAGAATTAAACTTTGCATTCGTGTCGAGG ACCCTTGTGTAAATGCTTTCAGTGTGGACTCATGAAGGAGGGAAAATTTCGCCGGCCCAG GCTTCTTGCGGTTCATTGCCGATTTGTCGGGTTCTTGGAGCTCCACCAGAAAACCCATGT TAGTTCGAGTTATGATGATTGTATGATTTTGAGTTCCAATTTCAATACTGCTCAATAATC CATTGTAGTTCACGACATGTAGAGCATCCAATTTGTTAATAAACTTGAGAATATTGGATC GAATCAACGACAGCATTTTTAGGCTCAATTGTTCCTTGACACGTTGTGTTCGCATGTTGA AATGGTTAGTGTTGGTTGTTAGCAGCCAATCAGAGATCAGACCAAGGGCTCCTGCTAAGG GTTCAATCAAAGACTGGTCAATTAACTGGTCCTGTATCCCTGCTGCAAGGATGACTCTCA GTGCCCACAGCGGTGATTCAATAGTGGAATTCGGATTTTGAAATAAATGGGGAAATAGGT TCCTTGTCATTGACCATGCAGGGGCAAAGTCATTAGTTTTCAGTCTATGCAATAGGGCCA TTCCTTTGTGAGTCACATCAAACTCAATACCAGCCCAATAAACTTTCCACCCTTGAATAG TTTGACTAACTAAGAAGTTACAGAGGTCGCTTAAGACAACCCCTTTCTCCAGGTCCTTTT TGGGCGATATTAGATTGTATCGTCCCGTAGCTTTGGCCATGGTTTTTTCTCAGGTCTTGC TTGGTGTCTGGAGTATCGATATTTTGTTGTCTAGACACTCTCAGTTCAACCTTGTAACCT TGCGCTCGATTGTTGGAACGACGCTCTTATTTTTTAATTGTGAGGGTGCTCAAAGTAATG TTCGTTGTAGGTGGGCTTCTTTTCAGCCAATGGAGTTGACCTGGTGGAGTTAGCCCAGAT TTATGCACTAAATTTTAAATGGCTAAGTTCAATTAGATATT >comp2_c0_seq1 len=1338 path=[0:0-1337] GGATTTGCTAAGCGCGAGTCCTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACC CAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCCAA AATTACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAAC CATAGAGGATTCCAAATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATT CTCAAAATCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCA AGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAG TTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGC ATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTT AAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTC ATGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTT GATCACAATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAAC TTATTCAGTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAAT ATATAAAGAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGC TCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATG TTTGACTCTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTT ACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAA GTTGTGGAGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTA AAAATATTGTTCTTGTTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAA GATTAATGCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCA TTCTTCATCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTT TAGCTGTATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTC TGTACACATCTCATACATTGTATTAGGGGCAATAATGGCTAAGTTCAATTAGATATTATT GCCCCTAATACAATGTAT >comp7_c0_seq1 len=727 path=[0:0-650 676:651-726] AGGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAAT CCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACT GTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCA ATTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAG TTCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTC AAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCT TCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTA ACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGAT TTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTA CCACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTC AAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATA ATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAG GTTGAGG >comp7_c0_seq2 len=676 path=[0:0-650 651:651-675] AGGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAAT CCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACT GTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCA ATTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAG TTCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTC AAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCT TCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTA ACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGAT TTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTA CCACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTC AAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATCCATAGCAG CATGGAAGATCCTGTC >comp3_c0_seq1 len=1407 path=[0:0-901 902:902-905 909:906-1406] GTCTAGTCCTACCTTTCTTTACATGATCTCAATTGCCGTAAGTACTTTGATATCTCATCT TGGGTTTGTGACTCATTGGATGACGTTAATTGGCGTGTCCCTTGAGATAATGTAAAGAAA GGTAGGACTAGACGATGTGAGATTATTTGATGACCTTCCCTCTTGGATGCTGAGTTATGA TCCTGAGATTTCACATTGTGTCTCGATCTATCGAAATTTAGTTTTGGGTTTGCTGTACCG CAAGCAGAGTCACTTAGAAATGACTGGAACGACGGACCCTGGTGCGTGTTCTCTTGTGGA ATTGTCGTTCTTTTTATTTCATGGCTCATTTGCAGGACTAGACTCCGTTCAGTGCCATCA TGTGGATCTCTGGTGGTTTGTTCTTGACTTCTCTTAATATGACCATCACTGTTGTTTGTG CTTGATCCAGTTGAAGAGTTTCTTGTCAAGTCTTTTCGGTTGCTGTTTCTGTGCCTGCTC CTCCAGTACGCCAATGACGCATGGAAGAAATTGCTGGCTGTACTCTTACATGTGTAAACA AGATTGTCGTGAGGATGTACATGATCATTTATGGTAGTTTTAAAAGCCTGGTGTCTTGAT GAATCATGCACCAGCAGTTCTACGATCTGATGGAGGAAATTATTAACAGGTGTTGGATTT TGACCCTCTAATGGATATACTATCCATAAAGGGACAATTGTTCCGCGATTAATTATCCAT TCCTTTACAAATGTAAGAAAAGATGAAATGGACGTTCTCAAAAATAACCTGGCCGCATCT GAGAGTCCTCTGTCACCTGCAGCACCGCCTATGTAAATAGAAAAATGGGGATCAATACTC ATTAATCGTGACATAACGCTTGCATGTTTGAATGTTGGCTTAAGTATTCGCAATGAGCGA TGTGGTAGATTATGAATTTGGGTAGTTAAGTAATATAAAAAATTGTCAAGTGTTAATTTC TTAGTCCGAAGAATTGTATTGCCAAGATAATAACTTACAAAGGCCCCAAAACTGTACAGA AGTCCTATTTTGGGATAAGTTAAGAAATGGGTAGTGAATGATCTTGTTTCTCCACTGCTA ATTGGGTCTGTAGACGAATTATTGCTATCTGAAATAATTGATTGCATGATGGTCTTAGCT AGCTCCCATCCAGATAAGTGAGGCAGTCGAATAAGGTCATCTTCTATAATGTTCAGCTGT TTGCCTTGGAAAAATGGGTTATCAAATGAGATATTGCAATTGAGTCCTCCTTTTAGAGGA TTATTGTCATAAATCAATTCATTTTCTCGGTATCTTGTTAAATCTAAATCCAATGTAGAT GTGTATGTTAAGTACTGAGCTGGTACCTCCCGGGTGCAACACTTAGTTAGATGAAGGTGA GCACGATTATACTGGATATCTGTAGCC >comp3_c0_seq2 len=527 path=[1437:0-21 902:22-25 909:26-526] ACATTCAAACATGCAAGCGTTATGGTAGATTATGAATTTGGGTAGTTAAGTAATATAAAA AATTGTCAAGTGTTAATTTCTTAGTCCGAAGAATTGTATTGCCAAGATAATAACTTACAA AGGCCCCAAAACTGTACAGAAGTCCTATTTTGGGATAAGTTAAGAAATGGGTAGTGAATG ATCTTGTTTCTCCACTGCTAATTGGGTCTGTAGACGAATTATTGCTATCTGAAATAATTG ATTGCATGATGGTCTTAGCTAGCTCCCATCCAGATAAGTGAGGCAGTCGAATAAGGTCAT CTTCTATAATGTTCAGCTGTTTGCCTTGGAAAAATGGGTTATCAAATGAGATATTGCAAT TGAGTCCTCCTTTTAGAGGATTATTGTCATAAATCAATTCATTTTCTCGGTATCTTGTTA AATCTAAATCCAATGTAGATGTGTATGTTAAGTACTGAGCTGGTACCTCCCGGGTGCAAC ACTTAGTTAGATGAAGGTGAGCACGATTATACTGGATATCTGTAGCC >comp4_c0_seq1 len=1214 path=[0:0-1213] GAGGCCCTTCAGGGGGGTTGTTTCGATTTTCCAGTGTGAGGTTATGCGGTGGATTATAAT AATCACTGACATGCATATAACACTGTGGGATTGTATAATGCATCCAATTAAAAACATTCT TAACACCATAGCAACGGTTGCAATATTCTATAAAAGGTGCTGTAAACTCATACCTAAATG CAAGATTGTATTTCTCTAAATCAGTTACAAAGCTACTCCCTCTAACTGTGGCATGCTCAC CGAAATCATCACTTGTGTGGTGCCATGATGCTTGATGCAATAAGCTTTCTTTTTGTTCAC GTTCCGTAACTACCATCATATTGCTAGGAAATGCTTTAGCAAGACCATCAGCTAACAGAG CTTCACAAAGTGTTTGAACATTGCGAGTCGGATAAGGCAATTTTCCGAAAGTTCTACCTA CATTCAACTCTTTCTCTTTCAATGAGAAAGAAAAATTCCGATATTGTGGTAGTAGATACT CGAGTTTTTGCGCGTAGGAAAGAACATTCTCAATAGAAAAGTTTTCTTGCTCTAAAAATT GTTCCGGTACACGTTTGGTACTGAATTTGTGAGGTGGATTATATCCCAGAACATTAGGCT CGAATACTGCATCCCAGCATGTCCTTTCTACTGCAGTAGCTCTGTCTTTTATAAAAATAC TTAAGTCACTAATAATTTTGGTTGAGAAAAGTGGAGGATGGTCAAGGTGGTAAAATTCCC ATAGCAGTTCTTTAATCATTGGCAACGGAGGGAATTGATTTCTTTTGATATAAGAATTAA GACCTGGTGTTAGATTTCTATCTGAGGTAACACTGTACCAAGATCCTTGACTATCAAAAT AATGTTTTGCAATGCTATATTTAAAAACACAATATGTCTCGAAAATCACGATAGGGCGTA ATGCTTTTAGCACCGTAGCATGTTTTTTAACTTTTTGGATTGCTGTTTCACTATGTAGCA CAGGATGCCCCCAGTGTTTTTGTATGGAAAATAGCTCACAAAGTTGTTGTGGCGTCATCT CCAGCCTTATCAATGTTCTATGGAATTCACGGATCTTGTGAGCCTGTGAAGGCTTTAGTG CACGTATTTCTGTAATTTCTTCCAGGGTGTGATTTACAGCTAAATGCATTTGTGTTAAGA ATCGGCCCTTCCTCTCGGTGTACTTTGAGCACCATTGTGCTTGGCTAAAATTCAATTGTG CTCAAAGTACACCG ================================================ FILE: tests/input/TestOrderAndOrient/contigs.ebov.fasta ================================================ >comp5_c0_seq1 len=910 path=[0:0-909] GTGTCGGAGGCTGTGCTGTCGTTGTCTGCTCTACGGTGATGTTGTCCAACTTGAGTTGCC TCAGAGATGTCAAGTTTATACACGGGTGTATTATGGGTGCTGTTGTCCGGACCTGTTTTG GTTGTGGGAGGTTGAGGACTCGTGGAGATTGTGGCAAGGGTTGTCAGATGCGACACTGCA GCTTTCCTTCCTTGACTGTGCACTTGAACCATTGCAGAGGAATTTTCTGAAGCCATGATT TTGTGGTCTTCATTTGTTGTGTTGGTCTCTGGGTCGGAAGAAGTTCGCGCCGGACTCTGA CCACTGATGTTTTTGGGTCCGTTTGATACAGCTGTGAAAGACAACTCTTCACTGCGAATT TTTCTAGTGAGGTTTTTTTAGTTTCCCAGAAGGCCCACTCCCCGATTGTTGTATCAATTT CGGGGTTGACCTTCCAAATTAGTTTTCCCGTGGTGTTGCTCCTCTTCCCACTTGCATATA TTGTCTCATTCAGCTGGAGCAGAAACTGTGGTGTGAATCTTGATTCAAGTTGGACGTAGG TCAAATTGTCAACCTCGAACAAGTACTCTGTCTCATTAGTTCCAAAACCGGTAGCCTGAT ATCTAATTGTGGTAGAATAATAGCCACTCGACGGGTCCTCCGTTGCATTGACCGGCTCTC TCAAGGGGTGTGAGCTGAAGAAGTCCTTCTTAGCTTGGGGCAGTATCAGAAATGCAACGA CACCTTCAGCGAAAGTCGTTCCTCGGTAGATAACTGTGGAAGCAAGTCGATCATACAGGA AGAAAGCACCCTCTTTGTGGAAGGCAAAGTCTCCGGCACATGGTCCCGTTCCTGATACTT TGTGCACATACCGGCACCGGGGGAAGCCCCGAATCCCGTCTGGCGCTGCTGGTAGACACT CACTCCCGTC >comp4_c0_seq1 len=2720 path=[0:0-311 312:312-745 746:746-764 765:765-876 2752:877-1615 1616:1616-2719] CTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAG ATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCC AGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTG ATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATG GTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAA AAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGC CAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCA TGTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAA CAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGT TTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTA ATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGC GATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACAT TTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATC CTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGC TGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAG AACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGA AGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCA TCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGAC CCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTT GTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAAT GGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCT GAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCT GCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTAT GAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTT AGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAA CCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGA ACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTG GACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCC CTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCAC ATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCA TCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTT GGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCT TCAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAG ATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAA AGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAAC CCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCA TTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTG CCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATT GCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACT CCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCA GGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAA GTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTAC AGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGC AAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCC CTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTC CAACTACCCCAGTATTTCAC >comp3_c0_seq1 len=1410 path=[0:0-905 906:906-1409] CTCCCGTCAGGTTTTTTGATTTCAAGATTGTAGCAGTTTTCAGCCCATTCACCAGCTTCA TAATTGACCACCTTTGGTGGGACACCGGACCTGAAGCCCCATCTTTTAGTCACAGATGGC ACGTCAGTTGCCACTCCATTCCCCTCGAGATTCAGTCCAACTGATCTCAATTGATTTGTG GATGACAGTTTGTCACGACAAACTAGTTTGTCGACATCACTAACCTGTAATGTACTATTG TGGATAACTCCAAGCGGGATGGAAAATGTTCTTTGGAAAAGGATAATTACCCAAAGAAAG AATGATGTCCTCTTGAATCGATCACGAGGTAACTGCAATATTCCTGTAACACCCATTGTG TTGTCGCCTCACAATATCCTTCTAGTGAAGCTTATTTTGGTTATCCAATTGAAAAGGACC TGATGACCCCTACTCTGGAAGACAAATAATCTAAGAGAGATGAAGATTACGCTCACTGTC GGCTTAATCTTCATCGCCGATTTTTTCTTAATTAGAAGAGCAATGTCTGTACTTAGATTG TGAACAACTTAGAAATGGGCCCCGATTTTTCCTCCACATCTCCAATCCAAGTCACACTGG CTGTCCTCAGATGTAAGCATGTAGGCAATTTGAGGATAAGGACAAAGAGTATGTGCAATG AGAAAGATTGACATTTGAATCACCGTATTGATTATAGTAGGATTGTTTGTAATGTTATTA GTCATGATCTTTCATCAATCAATCTTTTAAAAACAGGTATATTATGAGTCTTTTGTTAAG CTCTACATTTAGGAGAGAAAAGAGACAATGGTGTAAAGCACCTTTAGTATATTGATCAAT TAGAAGTATCTCTTCTAGTAGACGGATTATTAAAAAGATGTTATCACTATCCCTGAGAAG ATTCTGTAAAACTGGATCTGAGTCAATTATTGCAATTACTTCTCAACCACAGCTGGAAGA CTTGCAGGAGAATGACACGTGTCACAATCCTGTGTGATTACCATGGTGAGGTCTCCTGGA GCCACCGGGTCCAACCCAATGTACTTTGGCAAAAGAACAGGGATGATTGGTTGTCCATTT TTGGAAGTCACCTTCTTACCGGTCAGCTTGTGGACCAGAGTTTCTGGCACTTCGATACCC ATGATATTTTTGGTTGGATCAATTGGAACGATCTTAAAGTCCTGGAGTGAAGTCATTATT GCTTGGATTTTCTCCGGAGATGTTAGATCGGCACTGTTCCCCTTCTTCCCACTTTTGTTG GGTAAAAGAATGGGGCGAAGTTTTGGATGAAATGAAATTCCTGGACGCAACGCTCCATTT GATCCAGTTGGAGTGTCATCGGTCCATGTTGCAGCAGGCAGTGGTTGAGTGATCAGTTTG AGTGCTGTCAAATCAAAGGTGAAATACTGG ================================================ FILE: tests/input/TestOrderAndOrient/contigs.hhv3.fasta ================================================ >comp5_c0_seq1 len=5290 path=[0:0-3277 3278:3278-3376 3390:3377-4571 4585:4572-5289] GAAAATGTTTATGATATATACGTACTCGTTACGTATATATCATAAACATTTTCAGGGCCG CATTCATTCACTTTGGTCATGTCAGGCCACACTCCAACCTACGCTTCTCATAGGCGTAAC CGTGTCAAACTAGTTGAGGCGCATAACCGCGCGGGGTTATTTAAAGAACGGACCCTCGAT CTAATCCGTGGGGGTGCGAGTGTACAAGATCCAGCATTTGTGTATGCCTTTACTGCTGCC AAAGAGGCCTGCGCCGATTTAAATAACCAGCTCCGCTCTGCAGCTCGCATAGCTTCAGTT GAACAGAAGATTCGTGATATACAATCCAAGGTTGAGGAACAAACAAGTATTCAACAGATT TTAAATACAAACAGACGCTATATAGCACCCGATTTTATTCGCGGTTTGGATAAAACAGAA GACGATAATACCGATAATATAGACAGACTGGAAGACGCGGTAGGACCGAACATCGAACAC GAAAATCATACTTGGTTTGGAGAAGACGACGAAGCGTTACTTACACAATGGATGCTGACG ACACACCCCCCAACCTCCAAATATCTCCAACTGCAGGACCTTTGCGTTCCCACCACAATA CCGACGGACATGAACCAAATGCAACCACAGCCGATCAGCAAGAACGAGAATCCACCAACC CCACACACGGATGTGTAAATCATCCATGGGCCAATCCGTCAACTGCAACATGCATGGAAT CACCAGAACGATCACAACAGACAAGCTTATTTTTATTAAAGCACGGCTTAACGAGAGATC CAATACATCAACGCGAAAGGGTGGACGTTTTTCCACAATTTAACAAACCCCCATGGGTTT TTAGAATTTCCAAATTATCCCGTTTAATTGTACCCATCTTCACGCTCAATGAACAGTTAT GTTTTTCTAAATTACAGATTCGAGATAGACCCAGGTTTGCGGGACGGGGAACGTATGGGC GTGTTCATATATACCCATCGTCAAAAATAGCTGTAAAAACCATGGACAGTCGTGTTTTTA ATAGAGAGTTAATTAACGCGATTTTAGCGAGTGAGGGTTCTATACGAGCAGGGGAAAGGC TAGGTATTTCTAGCATAGTTTGCCTTTTAGGTTTTTCGTTACAAACCAAACAGCTACTGT TTCCGGCATACGACATGGATATGGATGAATACATTGTTCGCCTGTCCAGACGGTTGACAA TACCTGATCACATAGACAGAAAAATTGCCCATGTATTTTTAGATTTGGCTCAAGCGTTGA CGTTTTTAAATCGAACGTGCGGCCTGACCCACCTAGATGTGAAATGTGGCAATATTTTTC TTAACGTCGACAACTTTGCCTCGTTGGAAATAACCACAGCAGTAATCGGAGACTATAGCC TAGTAACATTAAATACGTATTCCCTTTGTACTCGAGCGATATTTGAAGTTGGAAATCCAT CCCACCCGGAGCACGTACTACGCGTACCCCGGGATGCATCGCAGATGTCATTTCGTTTGG TGTTGAGTCATGGAACAAACCAACCCCCTGAAATCTTGCTTGATTATATTAATGGAACGG GCCTTACTAAATATACTGGAACCTTGCCCCAAAGAGTTGGACTTGCGATTGATCTTTATG CATTGGGCCAAGCACTCTTAGAAGTTATCCTGCTAGGACGTCTTCCCGGACAACTGCCCA TTTCAGTACATCGGACCCCGCATTATCACTACTACGGTCATAAGTTATCACCAGATTTGG CGCTTGATACGCTGGCATATCGATGTGTCCTGGCGCCATATATACTCCCATCTGACATCC CCGGGGACTTAAATTATAATCCCTTTATACACGCCGGAGAGCTGAACACCCGTATTTCCC GGAATTCTTTACGCCGGATATTCCAGTGTCACGCAGTGCGTTACGGCGTAACGCACTCAA AGCTTTTCGAAGGCATACGCATTCCGGCCTCATTATACCCAGCCACTGTTGTTACGTCGT TGTTGTGTCACGATAATTCAGAAATACGCTCGGATCACCCTTTATTATGGCACGATCGGG ATTGGATAGGATCGACATAAGCCCCCAGCCAGCCAAAAAAATTGCCCGTGTGGGAGGTCT ACAGCACCCTTTTGTAAAAACGGATATTAACACGATTAACGTTGAACACCATTTTATAGA CACGCTACAGAAGACATCACCGAACATGGACTGTCGCGGGATGACAGCGGGTATTTTTAT TCGTTTATCCCACATGTATAAAATTCTAACAACTCTGGAGTCTCCAAATGATGTAACCTA CACAACACCCGGTTCTACCAACGCACTGTTCTTTAAGACGTCCACACAGCCTCAGGAGCC GCATCCGGAAGAGTTAGCATCCAAATTAACCCAAGACGACATTAAACGTATTCTATTAAC GATAGAATCGGAGACTCGTGGTCAGGGCGACAATGCCATTTGGACACTACTCAGACGAAA TTTAATCACCGCATCAACTCTTAAATGGAGTGTATCTGGACCCGTCATTCCACCTCAGTG GTTTTACCACCATAACACTACAGACACATACGGTGATGCGGCGGCAATGGCGTTTGGAAA AACCAACGAACCGGCGGCACGAGCGATAGTTGAAGCATTGTTTATAGATCCGGCTGATAT CCGTACTCCTGATCATTTAACGCCAGAAGCTACAACTAAGTTTTTTAATTTTGACATGCT CAATACCAAATCTCCAAGTCTCCTTGTGGGTACACCAAGAATCGGAACGTATGAATGTGG ACTTTTAATCGACGTTCGAACGGGACTTATAGGCGCGTCGTTGGACGTTCTTGTATGTGA CAGGGACCCTTTAACTGGCACCCTAAATCCCCACCCTGCAGAAACCGACATTTCATTTTT TGAAATTAAATGTCGTGCTAAATACCTCTTTGATCCAGATGACAAAAATAACCCGCTCGG TCGGACGTACACCACGTTAATAAATAGACCTACAATGGCAAATCTACGGGACTTTTTATA TACTATAAAAAACCCATGTGTAAGCTTCTTTGGACCCTCAGCAAACCCAAGTACACGCGA GGCCTTAATAACGGATCACGTTGAATGGAAACGTTTAGGATTTAAAGGTGGGAGGGCCCT TACAGAACTCGACGCCCATCATTTGGGCCTCAATCGGACAATCTCATCCCGAGTGTGGGT ATTTAATGATCCGGACATACAAAAGGGGACAATTACAACCATTGCATGGGCCACTGGAGA TACGGCTCTTCAAATTCCTGTATTTGCCAATCCGCGGCACGCTAACTTTAAACAAATTGC CGTACAAACCTATGTATTATCCGGTTACTTTCCAGCGCTAAAACTACGGCCCTTCCTTGT CACCTTTATAGGACGTGTGCGCCGACCACACGAGGTGGGAGTCCCATTGCGCGTCGATAC ACAAGCGGCTGCCATTTACGAATATAACTGGCCGACTATCCCACCCCACTGTGCGGTTCC GGTTATAGCCGTTCTAACGCCTATCGAAGTTGATGTGCCTAGAGTGACACAAATACTTAA AGACACAGGAAACAACGCGATTACATCAGCATTGCGGTCATTGCGATGGGACAATCTTCA TCCAGCGGTCGAGGAGGAATCTGTGGATTGTGCAAACGGTACAACGAGCTTGTTACGTGC AACGGAGAAACCGTTGCTTTGAACTCAGAGTTCTTTGAAGACTTTGACTTTGATGAGAAT GTAACAGAGGACGCCGATAAATCCACACAACGCCGCCCACGAGTGATCGATGTAACACCA AAACGAAAACCTTCGGGAAAGAGCTCCCATTCCAAATGCGCAAAATGTTAAACCCTGATA AACCCTGATAAACGTTCTAATAAAAACATCAAATCATGGTTGGTTACTGTGAATGTTTGT TTTATTGCTTGGGGGTTTACAAGTACAACCCACGCTACTCCCACCCACTGTTTGATCGCT CGTATAACAGCTCATCCTCACGGTCCGTTTCATATGTTGAGTCATTTTCATAGACGTAGC CGTAGCCTTGTGATGGGTAATTTGTGCGGCGAGAATTTCTATGTGCAGGTTTTACTTTTC GTATGTATCCCCGTACCCGCTCGGGTACTCTTCTTACGGCACCGTAGAACCGACTGCGTT TCTGTCGATGATACACATATGCACGCATCAATCTGAGAAGCAACATGACAACGGAAAACA CGGCCAGGCAAGCCAAGGTTCCCCGAGTTGTGGGAATTAACCGTGGAGATTGAACCGATA TAGGGTCATATAATCGGTCCATATACGAGTGCGCGGCGGTTCCCAACGTAGCACAGGCCA CGAGCGTTCCCAGGGACGGTCCTATTAACACGTGTATATAATGCGCCAAAATTAATTCTG ATACTATAAGATATACAACTGACAATGTACTAAATGTAGACATGGCCACGGACACCGATG ACCACAGTCCCGTATGTAGATGATTCGCCACCACAAGTTCCAGCATTAATGATACAAATA GGATACATATCGCCATCAACGCAGCCATCAAATTCACGAACACTGCGCGCGTAGGCCCCG CAAGGCGATATAAAAAGACGCTCTGCTGTCGTAAATTTGCGACCGCTTTTATGTTCGTTT CGTCCAATTTTCCGCGTCCACAAAAATACGTTGTAAATATTACACTTGTCGCAAAATGTC CAAGATATAATGTAGCAGCCACGCCGATTTGCTTGTAAGCTAATAATAACACAACGGCGT TTAATAACCACAATGACAAAAGACCCCAAAAAAGTGTTGTGGGATCTACAACTAACCATG CAACACCGGAGCTTTGCCGGACACGTTGATTTTTCGTTTCTCGGTGTATAATCGCGGCCG TGATCAGTGTATATACCGCCATGGCCATTGCCGTTAAAGCCGTGTAGTAAGTAAATGCCA CAACGCTATGTGGTTCCAAAAACAAAACCGGGGCGCTGTATCCACCTCTATTTCCGGACC ATACCCCCCCATCTAGGGTGGCGTTAAATAACTCATAATCAACTACGGCAGCATAAAAAC AAGGGATCCCGGTATATTCAGAAGAGGCGGCAATTAACGTAGCCAGGAGCATTACCGCAC CCAAAGTGAACATCATCACCTGAATTATCCAAATTCGCCAATTAAGCGTATCCATTTGAT GATCTAACGCTTCCACCTCGGGTGTCGTGGTGTCGTACGGTGAGACTTTTTCAGAACGCG GCCCCTTCTTTTGAGTTCCCATGTCTCCCAACACCGGGGAGAGCAACGCCGCCGTCTATG CGTCCAGTAC >comp5_c0_seq2 len=4596 path=[0:0-3277 3278:3278-3376 3390:3377-4571 5303:4572-4595] GAAAATGTTTATGATATATACGTACTCGTTACGTATATATCATAAACATTTTCAGGGCCG CATTCATTCACTTTGGTCATGTCAGGCCACACTCCAACCTACGCTTCTCATAGGCGTAAC CGTGTCAAACTAGTTGAGGCGCATAACCGCGCGGGGTTATTTAAAGAACGGACCCTCGAT CTAATCCGTGGGGGTGCGAGTGTACAAGATCCAGCATTTGTGTATGCCTTTACTGCTGCC AAAGAGGCCTGCGCCGATTTAAATAACCAGCTCCGCTCTGCAGCTCGCATAGCTTCAGTT GAACAGAAGATTCGTGATATACAATCCAAGGTTGAGGAACAAACAAGTATTCAACAGATT TTAAATACAAACAGACGCTATATAGCACCCGATTTTATTCGCGGTTTGGATAAAACAGAA GACGATAATACCGATAATATAGACAGACTGGAAGACGCGGTAGGACCGAACATCGAACAC GAAAATCATACTTGGTTTGGAGAAGACGACGAAGCGTTACTTACACAATGGATGCTGACG ACACACCCCCCAACCTCCAAATATCTCCAACTGCAGGACCTTTGCGTTCCCACCACAATA CCGACGGACATGAACCAAATGCAACCACAGCCGATCAGCAAGAACGAGAATCCACCAACC CCACACACGGATGTGTAAATCATCCATGGGCCAATCCGTCAACTGCAACATGCATGGAAT CACCAGAACGATCACAACAGACAAGCTTATTTTTATTAAAGCACGGCTTAACGAGAGATC CAATACATCAACGCGAAAGGGTGGACGTTTTTCCACAATTTAACAAACCCCCATGGGTTT TTAGAATTTCCAAATTATCCCGTTTAATTGTACCCATCTTCACGCTCAATGAACAGTTAT GTTTTTCTAAATTACAGATTCGAGATAGACCCAGGTTTGCGGGACGGGGAACGTATGGGC GTGTTCATATATACCCATCGTCAAAAATAGCTGTAAAAACCATGGACAGTCGTGTTTTTA ATAGAGAGTTAATTAACGCGATTTTAGCGAGTGAGGGTTCTATACGAGCAGGGGAAAGGC TAGGTATTTCTAGCATAGTTTGCCTTTTAGGTTTTTCGTTACAAACCAAACAGCTACTGT TTCCGGCATACGACATGGATATGGATGAATACATTGTTCGCCTGTCCAGACGGTTGACAA TACCTGATCACATAGACAGAAAAATTGCCCATGTATTTTTAGATTTGGCTCAAGCGTTGA CGTTTTTAAATCGAACGTGCGGCCTGACCCACCTAGATGTGAAATGTGGCAATATTTTTC TTAACGTCGACAACTTTGCCTCGTTGGAAATAACCACAGCAGTAATCGGAGACTATAGCC TAGTAACATTAAATACGTATTCCCTTTGTACTCGAGCGATATTTGAAGTTGGAAATCCAT CCCACCCGGAGCACGTACTACGCGTACCCCGGGATGCATCGCAGATGTCATTTCGTTTGG TGTTGAGTCATGGAACAAACCAACCCCCTGAAATCTTGCTTGATTATATTAATGGAACGG GCCTTACTAAATATACTGGAACCTTGCCCCAAAGAGTTGGACTTGCGATTGATCTTTATG CATTGGGCCAAGCACTCTTAGAAGTTATCCTGCTAGGACGTCTTCCCGGACAACTGCCCA TTTCAGTACATCGGACCCCGCATTATCACTACTACGGTCATAAGTTATCACCAGATTTGG CGCTTGATACGCTGGCATATCGATGTGTCCTGGCGCCATATATACTCCCATCTGACATCC CCGGGGACTTAAATTATAATCCCTTTATACACGCCGGAGAGCTGAACACCCGTATTTCCC GGAATTCTTTACGCCGGATATTCCAGTGTCACGCAGTGCGTTACGGCGTAACGCACTCAA AGCTTTTCGAAGGCATACGCATTCCGGCCTCATTATACCCAGCCACTGTTGTTACGTCGT TGTTGTGTCACGATAATTCAGAAATACGCTCGGATCACCCTTTATTATGGCACGATCGGG ATTGGATAGGATCGACATAAGCCCCCAGCCAGCCAAAAAAATTGCCCGTGTGGGAGGTCT ACAGCACCCTTTTGTAAAAACGGATATTAACACGATTAACGTTGAACACCATTTTATAGA CACGCTACAGAAGACATCACCGAACATGGACTGTCGCGGGATGACAGCGGGTATTTTTAT TCGTTTATCCCACATGTATAAAATTCTAACAACTCTGGAGTCTCCAAATGATGTAACCTA CACAACACCCGGTTCTACCAACGCACTGTTCTTTAAGACGTCCACACAGCCTCAGGAGCC GCATCCGGAAGAGTTAGCATCCAAATTAACCCAAGACGACATTAAACGTATTCTATTAAC GATAGAATCGGAGACTCGTGGTCAGGGCGACAATGCCATTTGGACACTACTCAGACGAAA TTTAATCACCGCATCAACTCTTAAATGGAGTGTATCTGGACCCGTCATTCCACCTCAGTG GTTTTACCACCATAACACTACAGACACATACGGTGATGCGGCGGCAATGGCGTTTGGAAA AACCAACGAACCGGCGGCACGAGCGATAGTTGAAGCATTGTTTATAGATCCGGCTGATAT CCGTACTCCTGATCATTTAACGCCAGAAGCTACAACTAAGTTTTTTAATTTTGACATGCT CAATACCAAATCTCCAAGTCTCCTTGTGGGTACACCAAGAATCGGAACGTATGAATGTGG ACTTTTAATCGACGTTCGAACGGGACTTATAGGCGCGTCGTTGGACGTTCTTGTATGTGA CAGGGACCCTTTAACTGGCACCCTAAATCCCCACCCTGCAGAAACCGACATTTCATTTTT TGAAATTAAATGTCGTGCTAAATACCTCTTTGATCCAGATGACAAAAATAACCCGCTCGG TCGGACGTACACCACGTTAATAAATAGACCTACAATGGCAAATCTACGGGACTTTTTATA TACTATAAAAAACCCATGTGTAAGCTTCTTTGGACCCTCAGCAAACCCAAGTACACGCGA GGCCTTAATAACGGATCACGTTGAATGGAAACGTTTAGGATTTAAAGGTGGGAGGGCCCT TACAGAACTCGACGCCCATCATTTGGGCCTCAATCGGACAATCTCATCCCGAGTGTGGGT ATTTAATGATCCGGACATACAAAAGGGGACAATTACAACCATTGCATGGGCCACTGGAGA TACGGCTCTTCAAATTCCTGTATTTGCCAATCCGCGGCACGCTAACTTTAAACAAATTGC CGTACAAACCTATGTATTATCCGGTTACTTTCCAGCGCTAAAACTACGGCCCTTCCTTGT CACCTTTATAGGACGTGTGCGCCGACCACACGAGGTGGGAGTCCCATTGCGCGTCGATAC ACAAGCGGCTGCCATTTACGAATATAACTGGCCGACTATCCCACCCCACTGTGCGGTTCC GGTTATAGCCGTTCTAACGCCTATCGAAGTTGATGTGCCTAGAGTGACACAAATACTTAA AGACACAGGAAACAACGCGATTACATCAGCATTGCGGTCATTGCGATGGGACAATCTTCA TCCAGCGGTCGAGGAGGAATCTGTGGATTGTGCAAACGGTACAACGAGCTTGTTACGTGC AACGGAGAAACCGTTGCTTTGAACTCAGAGTTCTTTGAAGACTTTGACTTTGATGAGAAT GTAACAGAGGACGCCGATAAATCCACACAACGCCGCCCACGAGTGATCGATGTAACACCA AAACGAAAACCTTCGGGAAAGAGCTCCCATTCCAAATGCGCAAAATGTTAAACCCTGATA AACCCTGATAAACGTTCTAATAAAAACATCAAATCATGGTTGGTTACTGTGAATGTTTGT TTTATTGCTTGGGGGTTTACAAGTACAACCCACGCTACTCCCACCCACTGTTTGATCGCT CGTATAACAGCTCATCCTCACGGTCCGTTTCATATGTTGAGTCATTTTCATAGACGTAGC CGTAGCCTTGTGATGGGTAATTTGTGCGGCGAGAATTTCTATGTGCAGGTTTTACTTTTC GTATGTATCCCCGTACCCGCTCGGGTACTCTTCTTACGGCACCGTAGAACCGACTGCGTT TCTGTCGATGATACACATATGCACGCATCAATCTGAGAAGCAACATGACAACGGAAAACA CGGCCAGGCAAGCCAAGGTTCCCCGAGTTGTGGGAATTAACCGTGGAGATTGAACCGATA TAGGGTCATATAATCGGTCCATATACGAGTGCGCGGCGGTTCCCAACGTAGCACAGGCCA CGAGCGTTCCCAGGGACGGTCCTATTAACACGTGTATATAATGCGCCAAAATTAATTCTG ATACTATAAGATATACAACTGACAATGTACTAAATGTAGACATGGCCACGGACACCGATG ACCACAGTCCCGTATGTAGATGATTCGCCACCACAAGTTCCAGCATTAATGATACAAATA GGATACATATCGCCATCAACGCAGCCATCAAATTCACGAACACTGCGCGCGTAGGCCCCG CAAGGCGATATATATCCTATTTGTATCATTAATGCT >comp5_c0_seq3 len=2033 path=[5328:0-20 3278:21-119 3390:120-1314 4585:1315-2032] CCGGATAATACATAGGTTTGTACGCTAACTTTAAACAAATTGCCGTACAAACCTATGTAT TATCCGGTTACTTTCCAGCGCTAAAACTACGGCCCTTCCTTGTCACCTTTATAGGACGTG TGCGCCGACCACACGAGGTGGGAGTCCCATTGCGCGTCGATACACAAGCGGCTGCCATTT ACGAATATAACTGGCCGACTATCCCACCCCACTGTGCGGTTCCGGTTATAGCCGTTCTAA CGCCTATCGAAGTTGATGTGCCTAGAGTGACACAAATACTTAAAGACACAGGAAACAACG CGATTACATCAGCATTGCGGTCATTGCGATGGGACAATCTTCATCCAGCGGTCGAGGAGG AATCTGTGGATTGTGCAAACGGTACAACGAGCTTGTTACGTGCAACGGAGAAACCGTTGC TTTGAACTCAGAGTTCTTTGAAGACTTTGACTTTGATGAGAATGTAACAGAGGACGCCGA TAAATCCACACAACGCCGCCCACGAGTGATCGATGTAACACCAAAACGAAAACCTTCGGG AAAGAGCTCCCATTCCAAATGCGCAAAATGTTAAACCCTGATAAACCCTGATAAACGTTC TAATAAAAACATCAAATCATGGTTGGTTACTGTGAATGTTTGTTTTATTGCTTGGGGGTT TACAAGTACAACCCACGCTACTCCCACCCACTGTTTGATCGCTCGTATAACAGCTCATCC TCACGGTCCGTTTCATATGTTGAGTCATTTTCATAGACGTAGCCGTAGCCTTGTGATGGG TAATTTGTGCGGCGAGAATTTCTATGTGCAGGTTTTACTTTTCGTATGTATCCCCGTACC CGCTCGGGTACTCTTCTTACGGCACCGTAGAACCGACTGCGTTTCTGTCGATGATACACA TATGCACGCATCAATCTGAGAAGCAACATGACAACGGAAAACACGGCCAGGCAAGCCAAG GTTCCCCGAGTTGTGGGAATTAACCGTGGAGATTGAACCGATATAGGGTCATATAATCGG TCCATATACGAGTGCGCGGCGGTTCCCAACGTAGCACAGGCCACGAGCGTTCCCAGGGAC GGTCCTATTAACACGTGTATATAATGCGCCAAAATTAATTCTGATACTATAAGATATACA ACTGACAATGTACTAAATGTAGACATGGCCACGGACACCGATGACCACAGTCCCGTATGT AGATGATTCGCCACCACAAGTTCCAGCATTAATGATACAAATAGGATACATATCGCCATC AACGCAGCCATCAAATTCACGAACACTGCGCGCGTAGGCCCCGCAAGGCGATATAAAAAG ACGCTCTGCTGTCGTAAATTTGCGACCGCTTTTATGTTCGTTTCGTCCAATTTTCCGCGT CCACAAAAATACGTTGTAAATATTACACTTGTCGCAAAATGTCCAAGATATAATGTAGCA GCCACGCCGATTTGCTTGTAAGCTAATAATAACACAACGGCGTTTAATAACCACAATGAC AAAAGACCCCAAAAAAGTGTTGTGGGATCTACAACTAACCATGCAACACCGGAGCTTTGC CGGACACGTTGATTTTTCGTTTCTCGGTGTATAATCGCGGCCGTGATCAGTGTATATACC GCCATGGCCATTGCCGTTAAAGCCGTGTAGTAAGTAAATGCCACAACGCTATGTGGTTCC AAAAACAAAACCGGGGCGCTGTATCCACCTCTATTTCCGGACCATACCCCCCCATCTAGG GTGGCGTTAAATAACTCATAATCAACTACGGCAGCATAAAAACAAGGGATCCCGGTATAT TCAGAAGAGGCGGCAATTAACGTAGCCAGGAGCATTACCGCACCCAAAGTGAACATCATC ACCTGAATTATCCAAATTCGCCAATTAAGCGTATCCATTTGATGATCTAACGCTTCCACC TCGGGTGTCGTGGTGTCGTACGGTGAGACTTTTTCAGAACGCGGCCCCTTCTTTTGAGTT CCCATGTCTCCCAACACCGGGGAGAGCAACGCCGCCGTCTATGCGTCCAGTAC >comp5_c0_seq4 len=1339 path=[5328:0-20 3278:21-119 3390:120-1314 5303:1315-1338] CCGGATAATACATAGGTTTGTACGCTAACTTTAAACAAATTGCCGTACAAACCTATGTAT TATCCGGTTACTTTCCAGCGCTAAAACTACGGCCCTTCCTTGTCACCTTTATAGGACGTG TGCGCCGACCACACGAGGTGGGAGTCCCATTGCGCGTCGATACACAAGCGGCTGCCATTT ACGAATATAACTGGCCGACTATCCCACCCCACTGTGCGGTTCCGGTTATAGCCGTTCTAA CGCCTATCGAAGTTGATGTGCCTAGAGTGACACAAATACTTAAAGACACAGGAAACAACG CGATTACATCAGCATTGCGGTCATTGCGATGGGACAATCTTCATCCAGCGGTCGAGGAGG AATCTGTGGATTGTGCAAACGGTACAACGAGCTTGTTACGTGCAACGGAGAAACCGTTGC TTTGAACTCAGAGTTCTTTGAAGACTTTGACTTTGATGAGAATGTAACAGAGGACGCCGA TAAATCCACACAACGCCGCCCACGAGTGATCGATGTAACACCAAAACGAAAACCTTCGGG AAAGAGCTCCCATTCCAAATGCGCAAAATGTTAAACCCTGATAAACCCTGATAAACGTTC TAATAAAAACATCAAATCATGGTTGGTTACTGTGAATGTTTGTTTTATTGCTTGGGGGTT TACAAGTACAACCCACGCTACTCCCACCCACTGTTTGATCGCTCGTATAACAGCTCATCC TCACGGTCCGTTTCATATGTTGAGTCATTTTCATAGACGTAGCCGTAGCCTTGTGATGGG TAATTTGTGCGGCGAGAATTTCTATGTGCAGGTTTTACTTTTCGTATGTATCCCCGTACC CGCTCGGGTACTCTTCTTACGGCACCGTAGAACCGACTGCGTTTCTGTCGATGATACACA TATGCACGCATCAATCTGAGAAGCAACATGACAACGGAAAACACGGCCAGGCAAGCCAAG GTTCCCCGAGTTGTGGGAATTAACCGTGGAGATTGAACCGATATAGGGTCATATAATCGG TCCATATACGAGTGCGCGGCGGTTCCCAACGTAGCACAGGCCACGAGCGTTCCCAGGGAC GGTCCTATTAACACGTGTATATAATGCGCCAAAATTAATTCTGATACTATAAGATATACA ACTGACAATGTACTAAATGTAGACATGGCCACGGACACCGATGACCACAGTCCCGTATGT AGATGATTCGCCACCACAAGTTCCAGCATTAATGATACAAATAGGATACATATCGCCATC AACGCAGCCATCAAATTCACGAACACTGCGCGCGTAGGCCCCGCAAGGCGATATATATCC TATTTGTATCATTAATGCT >comp67_c0_seq1 len=409 path=[0:0-408] CATCTCCATAAGGGGGGATATAACGAGATTGAAAACTATTGGCAATATATGCATCATCCC CTATTATGCCGGTAAGATCTATAACCTCGTGATTTAAATCGGCAATACGTGTTTCTTCTG CCATTGTAATATGTGACCCTTTAGATGGCTTTATTTTTACCCTCTCTTCCCGTAACCGTT TCAGCTCTCCTTCTTTGAACTGGAGCCTTTCGGTCAGATCGCTGTTCACATCCTTGAGAC CCTCAATGGTTTTGAATAAATTATTCACATAACCCTCGAGCATGCCGTTGATACTGTTAA CCACCGATGTTTTAAACGCACTTTGAACGTTTGTTGTTCCGGACATTGCCCCCCCGTTAA AGGATTGGTTGGCCTTGCCAAACCCCGGTTGTGATGTGTCCACCGATCC >comp48_c0_seq1 len=366 path=[0:0-365] CCGCCGTTGCATCTTCCCTTTCAATATTAGCGGCATGTGGACTGTGGTACGCGGCGGCGT TTGGAAAACCCGGGGTTGTCCGTCCAATCTTTGCGTATTTAGGCCCGGAACTCAATCCGA AGGGTGAAGACAGAGACTACTTTTGTACTGTCGGATTTCCCGGATGGACCACTCTTCGGA CACAAACTCCAGCCGTCGAATCTATTCGCACGGCTACGGAGATGTACATGGAAACGGATG GGTTGTGGCCAGTAACCGGTATTCAGGCCTTTCATTATCTAGCCCCCTGGGGACAGCATC CCCCCTTACCTCCGCGGGTGCAGGATCTTATTGGGCAAATCCCTCAAGATACTGGACATG CAGATG >comp27_c0_seq1 len=1171 path=[0:0-1170] ATGTACTTAAGTCACCGGATCGGGTTAAACAAACATATTAACGAAACTCGTGTGTTTACA TATGATTACTTTTTCTATAGTAAACATTTTAAGTAGTAAATTATGGATTTGAGGTCGCGT ACAGACGATGCTTTGGACATGGAATTGCATGCGGGTTTTGACGCCCCAGAAATCGCCAGA GCTGTTTTAACGGAAAAAACGCTTACTGGTTTAATTTCGTCTATATCACCTCTGGTTAAT AGACTAAGGGATTCTATTTTAATATTCAGCGACGAAGGATTAATTATTCACTGTAGTTTG GAAACAGAACAACTGTATATTCCTATACCGGCAAATATGTTTGACCAGTATAATTGGACT GGGCCGAGAATGGTTGTACTCGCGGCAACGGAGGGACGGTCCTCGCTTATTGACGCGTTT CGCCATACAAAAGATCCGTCGACCCCAACACGGTTATATTTTAAATTCACCGGACAACCC CCCGAGCGGAGTATTATCCAAACGATGGTATGGCAACGCCCGGGTGATTGTGGTCCAGAT GATCAAGTACAATGTTACAAACAAGTTGTAAAACGTGAACTCGCTTGTTATACAATGATG TTCCCAAATCTAACTCCAGATATAAGCATTTGCTTAAAACGCGATCAATTCACCCGTTTA CAGCGACTACTTAAAACTTTTGGGTTTACAACATGCTTCATTCTAACAGCCACGGATATG TACATCCAGACCGCCGGGGGTGGTTTTATCTCATTTAATGTTTCCTTGGATATAAACGGA AGCAAGCCTACACCATATAATTTAATACGCTCAATCACAAATTCAAAAAGGATCCTTAAT AATGTTGTTTATGGCAGCGGGAGTATGCGTGAATTTGGAGTATTATTGGAAACACACAGT GGATTCCGTTCTGCCGTACAAAATCTTAAGTTAACACGGGATGAGACGTGTTATATTAAT TTTTATCTCGCCTTAACTAACTCCCCCATGGTTGGATTGTATATCCAACGTTCCGCACCC GTGCATTCTTTTTTTTATGCAACGTTCTTAAGTCCCAAAGACCTTAAAGAAAAATTAACC TCGATGCAATTATTTGCGAACATGGAATCTGTGAAGGATGAACCACCATTAAAAAAAAGA CGCAATTTATTAACAAAAAGAAACGAAAAAA >comp49_c0_seq1 len=1047 path=[0:0-1046] AAGTCTGGCATCCCCGCCCTGTGCAGTTGTCACTTTTAGCGCTGCCTTTGAATTTGTGTA TCTTATGGATCGTTACTACCTGTGCCGTTATAACGTTACTTTGGTTGGGTCCTTTGCCAG GCGCACGCTTTCCCTGTTAGATATACAAAGACATTTTTTTTTGCATGTATGTTTTCGTAC CGATGGAGGGTTACCAGGTATACGACCGCCCCCCGGTAAGGAAATGGCCAACAAAGTAAG ATATTCCAATTACTCCTTTTTTGTACAGGCGGTAGTTAGGGCTGCATTACTATCGATCAG CACGTCTCGTTTAGACGAAACCGAAACGCGTAAGTCATTTTACTTTAATCAGGACGGACT GACTGGAGGCCCTCAACCTTTAGCGGCCGCCTTGGCTAATTGGAAAGATTGCGCGCGGAT GGTTGACTGTTCATCATCGGAACATCGCACAAGTGGGATGATTACCTGCGCGGAACGTGC ATTAAAAGAGGATATAGAGTTTGAAGATATATTAATAGACAAACTTAAAAAATCGTCTTA CGTAGAAGCAGCTTGGGGTTACGCAGACTTGGCTTTATTATTACTGAGTGGGGTTGCTAC TTGGAATGTAGACGAGCGTACAAATTGTGCTATAGAAACTCGCGTTGGATGTGTTAAATC ATACTGGCAGGCGAACCGGATTGAAAACTCCAGGGACGTTCCAAAACAATTTTCCAAATT TACGAGCGAGGATGCCTGTCCCGAAGTAGCATTTGGGCCTATTTTGTTAACTACCTTAAA AAACGCAAAGTGCCGTGGTCGCACGAATACCGAATGCATGTTATGTTGTTTATTAACCAT AGGGCACTATTGGATCGCTTTGCGGCAGTTTAAAAGGGATATATTAGCATACTCAGCAAA TAACACAAGTTTATTTGACTGTATCGAACCTGTAATCAATGCATGGAGCCTAGATAACCC CATTAAACTTAAATTTCCATTTAATGATGAGGGTCGATTCATAACCATTGTAAAAGCAGC AGGTTCCGAGGCCGTATATAAACATTT >comp29_c0_seq1 len=2664 path=[0:0-2663] CCTTTGCCATAATTAATCTTCGGTTATAATTATAATAAAGACGCGTCCTATCATAATCCA TAATAGCAACATTTTGCATACACTCAACTAGGCTTGTGACAACCGCCGCCCCTCTGGCCA ACGTTGCATCGGCAACTTTTAACATCTGGGACAGTTCTGCCGCTTGACTCATATACGTAT TTAATGGTGCAGGGGTTCCATCCTGTTCTGATCGTACCTTTCTTACAACGGGCACAATAC CTACACAGGCTATCCAGTCCACGTATTTGGCAAAACCGACCCTTCCATTTAAACCACTGG TATAGAGACAACCGGTTATTCCACGCAGAAACTCAAGTAACGATGACTGTAATGTTTGAC GCCAGGTTTCAAAAACCTGATGTGCAAGCCGTACGGCTTCTGATTCTCCACATAACCCAT AACGTTCCGCTAGAGCCCCGGCATGCAGGTTACATTGTTGGATGTGGTGTTCCCAATCTG CTGCTAGGTCCTCATACCGAGTTGCATCCAACGCGTTCATCAAAACGGTTGCCTGAACTT GGCGAATTACAGTTTCCGTAGACCGTACAGCGCTATATATGCCTTGTCCATCGGTATATC CAAAGTCACCGGCTAGGATTTTTCGAAACAACATACTTTGCGTGGTTGGGTGTATTAACA TCCAGCCATCTTCCTCCGGAAATGTACAAAACCCTATATCCGGGGCGTACTCATTCCAGT ATATATCGAACATGTTCTTGTATTGGTCATTTGGGTTACTTCCATTCAAGCCCTGGTCAA TAGAAACAGAACTTGCTATCCTTTTTTCTTCACTACCGGAACTGTTATTAAAAAGAGACG TTATTTCGGCCATTGAAAACCACGATGAAAAGATCAATTTCTGTAGACAGTTCTTCACCC AAAAACGTTTTTAATCCAGAGACGCCCAATGGATTTGATGACAGTGTATATTTAAACTTC ACCTCTATGCATAGCATTCAACCTATCCTCTCACGGATTCGAGAACTTGCCGCAATTACG ATTCCAAAAGAACGTGTTCCGCGGTTGTGTTGGTTTAAACAGTTACTCGAACTGCAAGCG CCTCCTGAAATGCAGAGGAATGAGCTCCCCTTCTCCGTTTATTTAATTAGCGGAAATGCC GGCTCCGGAAAAAGCACGTGTATCCAAACGCTTAACGAAGCTATCGATTGCATTATTACC GGATCCACCAGGGTTGCTGCCCAAAATGTTCATGCTAAGTTATCAACGGCTTATGCGAGT CGTCCGATAAACACAATCTTTCATGAATTTGGTTTTCGCGGAAATCACATTCAGGCTCAG CTGGGCCGTTACGCATATAACTGGACTACGACCCCCCCTTCTATTGAGGACCTGCAAAAA AGAGATATTGTATACTACTGGGAAGTTTTAATTGATATAACAAAACGAGTGTTTCAAATG GGGGACGACGGTCGCGGAGGAACATCGACATTTAAAACCCTGTGGGCAATTGAACGTTTG CTTAATAAACCTACAGGCTCAATGTCCGGAACCGCGTTTATCGCATGCGGTTCCCTTCCG GCTTTTACCCGGAGCAACGTTATTGTTATTGATGAAGCAGGATTGCTAGGGCGTCATATT CTCACGGCCGTTGTTTACTGTTGGTGGCTTTTGAATGCTATATATCAAAGCCCTCAGTAC ATAAACGGTCGAAAACCGGTCATAGTATGCGTCGGTTCGCCCACCCAAACTGACTCGTTA GAATCTCATTTTCAACATGACATGCAGCGTTCACACGTAACTCCTAGTGAAAATATACTC ACGTATATAATCTGCAATCAAACTCTGCGTCAATATACTAACATCTCACATAACTGGGCA ATCTTTATTAATAACAAACGATGTCAAGAGGACGATTTTGGAAATCTTTTAAAAACGCTT GAGTACGGGCTACCTATTACCGAAGCACATGCGCGTCTGGTCGATACATTTGTTGTACCT GCATCCTATATTAACAATCCTGCTAATCTTCCCGGATGGACGCGTCTGTATTCGTCGCAT AAGGAGGTGAGCGCGTATATGAGTAAGTTACACGCGCATTTAAAACTATCGAAAAATGAC CATTTTTCTGTGTTTGCCTTACCGACTTATACATTCATCCGGCTAACGGCATTTGATGAA TACCGCAAATTAACGGGACAACCCGGACTTTCTGTTGAACATTGGATACGGGCAAACTCC GGTCGTTTGCACAATTATTCCCAAAGCCGAGATCATGACATGGGAACAGTTAAATACGAA ACACATTCAAATCGCGACTTAATTGTAGCCCGTACAGACATCACTTACGTGCTAAATAGT CTCGTAGTTGTAACCACAAGACTACGTAAGTTAGTTATTGGATTCAGTGGTACATTTCAA TCGTTTGCAAAGGTTTTACGTGACGACTCCTTTGTGAAGGCTCGAGGAGAGACATCCATC GAATATGCTTACCGGTTTCTGTCAAACCTAATCTTTGGAGGCTTGATTAACTTTTACAAT TTTTTGTTAAATAAAAACCTACATCCCGATAAGGTATCGTTAGCATACAAACGGTTAGCT GCCTTAACCCTGGAGTTATTGTCTGGAACAAACAAAGCCCCCTTACACGAAGCAGCGGTT AATGGGGCGGGTGCCGGGATTGAC >comp17_c0_seq1 len=1093 path=[0:0-1092] CACGGGGTAGGGGACTCCAACGTCCCAAAGCGTTCATCCCTACGACGCTTTAGACGTTGG AGTCCCCTACCCCGTGTTCCACGCGGCAAGGGTCTCTGGGAAACGCAACCCAAATCCCGT TTCTGAATTTTGCTATAGATGTAACCCGACGTCATCAGGCCGTTATTCCCGGAATTGGAA CGCTTCACAACTGTTGTGAATATATTCCACTGTTCTCGGCTACTGCTCGACGGGCAATGT TTGGCGCGTTTCTATCGTCAACAGGGTACAACTGTACCCCCAATGTAGTTTTGAAACCAT GGCGATATTCGGTAAATGCAAACGTAAGCCCTGAATTAAAAAAGGCTGTCAGTAGTGTAC AGTTTTATGAATATTCACCGGAAGAAGCAGCACCTCATCGAAATGCGTATAGCGGGGTTA TGAACACATTTCGCGCGTTTTCTCTGTCGGATAGTTTCTGTCAGTTGTCTACCTTTACAC AACGGTTTTCGTACCTTGTGGAAACATCTTTTGAGAGTATTGAAGAGTGTGGAAGTCATG GCAAACGCGCAAAGGTTGACGTTCCAATCTATGGCAGATATAAGGGGACGTTGGAACTGT TTCAAAAAATGATCCTCATGCACACCACGCATTTTATTTCATCGGTGCTATTGGGCGATC ATGCCGACAGAGTTGACTGCTTTCTGCGTACAGTGTTTAACACGCCAAGTGTTTCTGACA GTGTTTTAGAACACTTCAAACAAAAATCAACTGTGTTTTTGGTACCACGTAGACATGGGA AAACATGGTTTCTTGTACCATTAATAGCTTTAGTAATGGCCACGTTTAGAGGAATTAAAG TGGGTTATACGGCTCATATACGCAAAGCAACGGAACCCGTGTTTGAGGGTATCAAGTCTC GCCTGGAACAGTGGTTTGGGGCAAATTACGTGGATCATGTAAAAGGCGAATCTATTACGT TTTCATTTACCGACGGGTCTTACAGCACAGCGGTGTTCGCGTCAAGTCACAACACAAACG TGAGTGTTTTATAAATTTAACCTTTAATATATTACTGTAAATGTTGACATATACCTTTCC ACAACGGCGGTTG >comp37_c0_seq1 len=1184 path=[0:0-1183] ATTTTTATCTGTCGCACCAAATCGTCTGTAGCACGTACAATTGTTGCTAATAAATCATCC CGTGTTATTTCAGGATACTTGACCTCACCATTGTTATATGTTTCATAGTCCTTTACGGCT TGGTCTACGGCCGCGCTTAGCGTATTAAAGCAAGACAACTCTGCTTCCGCGGAAGCCCGT TGCGTTGCGCGTGTATTAATGGTTTTAATTGTACGTGATAATTCATCGAACTCTCGTCTG GATAAGTAACCTGCGGTTTGAGCTTCCCCGACTACAGATAACCACGATACGAGAGCCGTG TCTGTGTTTAAATCTTCCCCTTCTTTAATAAGCTCTTTTAACAGAGATACGACGGGGAGA TTTTGTATAGTCTCAGGAGGAGGGTGTATAGACAGGGACGATATGATTGCCGTTAATTTA GCGTCGAATTCCGGAAGAGAATCTAAAAGCCGTTGAATGGGTGCCGTACTTGCGGTCGCG ACCCGAAAACGCCTAGGGGATTGTTCAGCGATCAAGGCCCGTGTGCTATATAACACTCCG CGGGTGAAGTATTCTGTAACAGCCGAGGTCAATAGCATTGTAACTTCGGATCGTATCTCA TATACACGCCGAATTAACTCTTCGGGTGGAATGTCGGTTTCTTCCGGGGGTTCCTGGGGA ACTTCTGGTATTTGAATGGCATCAATTTTATTGCGGGTAGACCGTAATGCATTCTCTAAA GCCTTTACACTAGAAACAAGCGCGGTGTGTTCACGCATATAGCGTGTCTCCCGGGCCGAG ACTAATTCACAAAGAAGACGTATTCGTTCAGACAGGGACCCTGTACGGGTTGGAATAAGC TCGGCAAAAAGTCCGGGATGAGAAATAATAGGCGAATTTAGTATACTTATAAGACCTGTC GACAGTCTAGAATAGAGGTCTATGGGCGACGAACCTCCTAGATCCGCTTCTAACACATCT AGTTCGGCATGTAAAGCGCCGGTTGTATCCTGAACCCGCATGGCAACTAGACCAAACTTA GCGATAATGAGCATGCCAATTGTACATTTTTTCCGGAGAACAGTTTTAATAGCATATTCC GCCCCCGGCATGTTTGTTAATATCAAACTTGTAACGCGTATAAGTTCCGCGGCGGAGGGA AATCCTGTTAAAATTTCCCCAAGGGGACCTATAAAGTCTGATAC >comp54_c0_seq1 len=515 path=[0:0-514] TTATATATATGTTCCATCTAATAACAATTTAACATACCCCAGGCCTTGAAATATATCTTC CGTGTGGTCCATTAAAAGTTTACGTGTATATCTAACGTTGTCGATCATACGCCGACATGC CTGGCTTAACAGGGCCAGTGCTCCCAAGGCGGTCCCTCGGACATAACGTCGACCGGTGAC TACATCGGCATTAACAACGCGTACGTGCCTAGGAACGCGACATGACCGATGTTCGTCGAG ACTTAGTACGATAGAATTTTCACTCTCACTGCTATAGCCGTCAGAAGGTTCACTAAAATC ACTTTCATATAGGTCTCTGTTCGGTGAGTTAAACGGGTTAGAAGATACGCCCCATGTGTG TACGTCCCGCGGAAAGTTTGGCGACGGCTGTCTTGTTTTATAGTTTGTCAATAGGTCCGT TTGGGGGGCATCGGCTGCCGTGTCAACCCAAGAAGGTAATTGGTTATTTACAGGGTGGAA TACTGTTTTGGAGTTATACATTCGAGGGTCATTTT >comp14_c0_seq1 len=1226 path=[0:0-1225] GTTTGGTACGTACATAAAGCCATTAATACCACAAATGGCTTTATGTACGTACCAAACGAA GCCAGTTTTTCATTGGTGTATATGCGTATGTTGGAGTTACCAGAAGGTTTGCAGGAGCTA GTGAGTGGATTATTCGACGGGACGCCCGAGATACGAGACGCGCTTAACGGAAGTAACGAC GATGAAAAAACAAGTATAATTGTTAGTCGGCGCGCTGCTGATGTGGTTACGGAAGACGTA AAAGCAGATGATGTGCCGATTTCGGGTGAACCGTATTCTGAGAAACAGCCTAGACGGCGT AAGAAGTCCGATCATATTACACTAAGTAACTTTGTACAGATTAGGACCATCCCCCGGGTA ATGGACATTTGGGATCCTCGCCATAAAGCCACTACTCATTGTATCCGCGCGTTATCATGT GCGGTTTTTTTTGCGGACGAGGTTATATTTAAAGCCAGAAAATGGCCTGGACTTGAAGAT GAACTTAATGAAGCCCGTGAGACGATATATACTGCAGTTGTTGCGGTATATGGCGAACGG GGGGAACTTCCATTTTTCGGGCATGCTTACGGACGTGATCTGACGTCCTGTCAACGGTTC GTGATTGTTCAATATATACTGTCTCGGTGGGAAGCGTTTAATTGTTATGCCGTTATTGAA GATTTAACGCGTAGTTATGTTAACGCGTTACCCAGTGATGATGACACGGATCAAGTTGCT CAAGATTTAATACGGACCATTGTGGATACAGCAAACAGCCTCTTGAGGGAAGTGGGCTTT ATTGGCACGTTGGCTGAAACTTTGTTGTTCTTACCACTCCCCCAGCTTCCCTGTTACAAG GAAACGTCACATCTTGCAAAAAAGGAAGGTGTGCGAATTTTACGCCTTGCAAAAACAGGA GTTGGTTTATCGGATACTGTTCCGGTTGATGTTTCTGTCACGGAAAGGCATGAGTATGAG ATATCCCGGTACTTAGATACCCTGTACTCTGGAGACCCCTGCTATAACGGCGCTGTGCGT CTATGCCGTTTATTGGGATCATCAATTCCCATTGCCCTGTACTACAATACAATATCGGGT AATGCCTTTGAACCGTATTTTGCTGGGAGGCGTTATATAGCATATTTAGGCGCTCTATTT TTTGGTAGAGTGCACCAAACACCATTTGGGGACGGGAAAAAAACCCAAAGGTAGTGTGTA TTATTCGCGAATAAAGTATTGTAGAG >comp30_c0_seq1 len=2754 path=[0:0-2753] CCCCTTGGTTGTGAGTGGATATAATGCCTTCATCGGGCTTGTTTTAAGTTTAAGCACGTA CCGGTACGCAAAAAAGGCCGCTACCAGTCCCGCCAAAACCAATAATCCCACGGCCAATGC CCCAAATGGGTTAGATAAAAACGTGGTAAATCCGTGTACGGTGGAAAGCAGCGCTCCCGT GGCCCCAAGAACCACATGTCCAACGGCCTGGCCCGCGGTCCCAAGTCCCTGGAAAAACTG AGCCATGCCCTGCATAATGGCCGTTCCGCTATCATATTGCACAACCTTGTCTATGTCATA AAAACGCAGCGAATGCATTTGATTTCGGCGTTGAATTTCACTGTAGTCTAGTAACCCTGT ATCCCGCAGCTCGTCTCTTGTATATACTTGCAGCGGCATAAACTCTCTATCTTTAAGAAG TGTTAAGTTTAAATCTACGTAAGTGCTAATCATTCCCACATCATGGACTGCGATTTCACG GACGTAACGATAATCCTCATAATATACGTAGTGATGCCCAAATAGAAAATATCGCTTGTG ATTAGCCACGCATGGTTCTAACAGATCTCTGGACATAATTAACTCGTTATCTGTTCCAAG CTGGCCCTCCACCGTCCCGGACCCATTTAAACTAACTATTGAAATTAAAGGACGGCTATA ACAACGCGTAGTACTACCAGATACCCTCATAGAGTTTTGAAGTATAATGCGTGTATCTGA TCCCAGTTCTGGACAATTAGAAACGGAGATAACGTCGCCGAGAATACGAGCTTTAACACG TTGATCCAAAATGGTGCTCGCTAAAGCACTTGGGTTAATTGGAAATAGTCCGCTCCAAAG GGCGCGTTCGCGATTTTGTAGCTGGCACCACGACGAGGAGATACGTGCCAACATTTCATT AACATGCTCTTGAATGTGGTCATATGTAAACTGGAGCATAGCAAATTCCACCGATGAGGT GGTTGTTATTGTTCTATTGGCACGCAACTCAACTGGCACGCTTCGTCGGGATCTGGTATT TCGAGTCGGGTGTTTTTGTGGTGAATGATTAGTGTTTTCACGGACCAATTCTTGGAGATA GAGACGGGCGAGGGAATTGCTCAGCAGGGGTTGAAACACCACAACAAACCCCCCTCTGGC AAGGTAGGTCTGGATATCCCCGGTTCTAACATGAGATGAGTTGTATCTGGTTGTATAGAT CCGGTTAATAATAGCCCGGGCTTCCTCCTTTACACATTGACTGAGATGGATTTGGTTAAG ATTAAACTCGTTTGTTTCACTTATAAACGTGGTAGAAAGTGTTTTCATTGTAAAGCGAAA ATTGTGTGCATACTCATCGCGAACTACATCTTCAACCTCACGCCACTTGACAAGCGAACA AACTTCCGTTCGTTTTGGCTTCCAGTTCCAACCAACCGTTAAATGAGGCGTGACTAAAAA GTTCCGCGCTGCAGGTTCCAGTAATGCTCTAGTGTCAAGATCCCTTTGTCTATAACCCTC AAACTGGTGAAAACGATCCATTGCATAATTGGAATGTTCTCTGTATGCACCATCCCGTAG GCCAAAAAACGGGGACATGTATATTATATCTCCCGTGGAAAGTCCAAAACTATCATAAGG GAATATTGATCTGGCTTCAACTTCCTCAATGATGCAATTCACCGACGTGCCCGTCCTATA TGTTCCGGGGGTTCCGGCAACCATGTACGTGTCATTGGTAGTATGCCATGCTTTGGATCC CACAGAATTATATTTTGATGCGATTAGAGGCATATCCTGTGGATTTTTATCCTCATTAAA GGCTTCAACTTTGTGGTTATTTCGTACGTACGTTGCTTTAGAAGAACACTTGCCAAACTT ATCAATGGTGTCCGTGATCTCTGAAACGGGAATTGGTACCCTATCCGCATATCTATTAGT AATTTGCGTATAAGAACTTCCGGCCCACGCCGTGCTAACGATAACATCTTTGTAATATAC CGTCGCCTTAAACTTGTACGCGGCAATGTTTTCTTTATAAACAACAGCAATACCCTCTGT AAAGTTTTTACCAAGGTGATAATCCGGACATGTCCGAGTTGGTTCTAATCGTACGATTGT GGAGCCTGTTGGCGGTGGGCAGACGTAAAACGTGGGTTTTGTTTCGGCGTCCTGGGACTT GTGTATAGCTTCTCTGATTTCATCACCATCGCCCAGATGAGCAGACCGGGTTATATCTTC TGATTGTGTGGGCTCTACTTGTAAACTCTCATAAAACGAGCTTGGAGAGACCGACACAAC CGCCGTAACAAACATAGAAAATATGCATAAAAAGCATAACCACACCCCCGTAACGGAGGT TATGAAAACGCCGGGTCCGTTGAATCCGGAGCCAGCCGCTGCATTAGGGTGTATAGAAGA GAAAAAACGTCTGAATCGTAGATTACGACGGTATTCTGGTCGATCCCTGTTTCTCCACTT TGAATAATAGCCACAAGGGGACATGTTTCTTCGTACGTTAAATAAATGCCGTCTAAGGGT CCGTGGGAACTGCCTATACCTTTAGGTTGAGACGTGCACCCGCGTGGATCCTTACCTAGA CGGTCAACGCGACATAACCGCACCTCCCCACAATGGAAAACAGAGGTGAATAGTGTGGTT GCAAACACAAGCTCCCTAATATATTTCCAGGCAAGTCTCTGTGCAAAAGTAACGCCTTCT ACCCCAGAAAAGCAATAAAAGCCCCTAAATGGACTGAGAAGCCAGTTGGAACCA >comp26_c0_seq1 len=2623 path=[0:0-2239 2240:2240-2622] AACCCCACACCCCCAGAATTCTGTTTACGCCCACCTACAATTTCCTGCACGAAGGAGTCG GCCATAAATAAATCTGCAGTGCGCCGCATGGCTCCATCCATTGTGATGAAAACCGGCTTA TTTAATACATAACACGAACAAGCTGTGACATCGCTATGTGCTAAAACACGCGGCATGTGA TCGTCGCATACATATGTAACAACGTTTAACAACTGATCCGACGATCCACGTAAGTTATAC AAAAAACTTGTACTTGCTTTTCCGGTATTTGTTGATGAAACAAAAATAATTTTACAATTG GTTTGATTTAAAAATCCGACTATAGTTTGTACAGCATCAGGTCGAATAAAATTAGCTTCA TCCACAAACAGAAGATTAAAATCTTGACCTCGGATACCCTGGAACGATAGAAAGATATAT AGTTACCCCACCAAAGTTTAAATGTATCCTTAAATACCACGTACGTAAAAAATGTTTGAA TACGTACATATTTCTTTTTTTTTTTTCCAGTACAACCATATCCGGTGTATAATGGAAGCC CATTTGGCAAATGAAACCAAACATGCACTTTGGCATAATGATCACACAAAAGGATTACTA CACGTTGTGATACCTAACGCGGGGCTTATTGCGGCCGGAATAGATCCCGCATTACTGATT TTAAAGAAACCCGGACAACGCTTCAAGGTTGAAGTACAAACAAGATATCATGCTACAGGT CAATGCGAACCGTGGTGTCAAGTTTTCGCCGCGTACATTCCCGATAACGCCTTAACAAAT CTCTTAATACCAAAAACGGAACCATTTGTTTCACACGTTTTTTCGGCCACGCATAATTCA GGGGGATTGATTTTATCATTGCCTGTTTATCTTAGCCCCGGTTTATTCTTTGATGCATTT AACGTTGTAGCGATACGAATAAATACTGGAAACCGCAAGCACCGTGATATTTGTATTATG TATGCAGAACTAATCCCAAACGGAACGCGTTATTTTGCTGATGGACAACGGGTACTTTTA TTATGCAAACAGCTGATTGCGTATATCCGATGCACCCCTCGTCTTGCATCGTCTATAAAA ATATACGCAGAGCATATGGTGGCAGCCATGGGTGAATCACACACGTCAAATGGGGACAAT ATTGGACCCGTTTCATCCATAATCGATCTTGATCGACAGTTAACTTCTGGAGGTATTGAT GACTCCCCTGCTGAAACACGCATACAGGAAAATAATCGGGACGTCCTTGAGCTAATAAAA CGGGCCGTAAACATTGTTAACTCCAGGCACCCCGTCCGACCTTCTAGTTCCCGCGTTGCA TCTGGGTTGCTTCAAAGTGCAAAGGGCCACGGAGCGCAAACTTCCAACACAGATCCGATC AATAACGGTTCCTTTGATGGCGTCCTTGAGCCGCCTGGACAAGGGCGATTTACGGGAAAG AAAAACAATTCGTCCGCCAGCATCCCACCTTTACAAGACGTTCTATTGTTTACCCCAGCT TCGACAGAACCCCAAAGTCTTATGGAATGGTTCGACATCTGTTATGCCCAATTAGTTAGC GGGGACACTCCAGCAGATTTCTGGAAACGGCGTCCCCTATCAATTGTACCGCGACATTAC GCAGAATCCCCCAGTCCGTTGATTGTAGTATCTTACAACGGATCCTCTGCCTGGGGAGGA CGTATTACCGGAAGTCCAATTTTATATCACTCTGCACAGGCTATTATTGATGCTGCGTGT ATAAATGCCCGGGTTGACAATCCCCAAAGCCTACATGTGACAGCTCGCCAAGAGCTAGTC GCGCGTTTACCGTTTTTGGCTAACGTCCTAAATAATCAAACCCCCTTACCCGCCTTTAAA CCAGGCGCCGAAATGTTTTTAAACCAGGTATTTAAACAAGCGTGTGTGACATCGCTAACC CAAGGTCTTATAACGGAGTTACAAACGAACCCGACTCTACAACAACTCATGGAATATGAT ATTGCAGATTCTTCCCAAACGGTTATTGATGAAATTGTAGCCCGCACACCAGACCTGATT CAGACTATAGTTTCGGTGTTAACGGAAATGTCAATGGATGCGTTTTATAACAGCTCCTTG ATGTATGCGGTTTTGGCGTATCTGTCATCTGTATATACACGACCACAAGGTGGGGGGTAT ATACCCTACCTTCACGCTTCCTTCCCATGCTGGTTAGGTAATCGTTCTATATATTTATTT GACTATTATAATTCAGGAGGGGAAATACTTAAGCTTTCCAAGGTCCCCGTTCCCGTAGCC TTAGAAAAGGTTGGTATTGGTAATTCCACACAACTGAGGGGTAAATTTATACGCAGCGCG GATATTGTTGATATTGAAATTTGTTCTAAGTATTTACCCGGTCAATGTTACGCGTACATT TGTCTAGGATTTAACCAGCAATTACAATCCATTTTAGTTTTACCGGGGGGATTTGCGGCA TGTTTTTGTATTACCGATACCCTACAGGCAGCACTACCTGCATCGTTAATCGGACCTATT CTAGACAGATTCTGCTTCTCTATTCCCAACCCCCATAAATAAATTAGTGTCACTATAAAA ACATAACACCAGAATCTCTTCATATTTAATTTTACGTCATTTC >comp25_c0_seq1 len=1403 path=[0:0-1402] TAAACTTCCACGACTAAGCTGGGTTTGATTGTGTCAGAAGCAACAGGAACCCCTACCAAC AATGTAATCTTGCGCGGAGCGACGGGGTTTGATGGGAAGTTTAAAAGCGGTAATAATAAC TTTCAATTTTTATGTGAACGATATATAGCACCACTGTATACGTTAAATCGGACCACAGAG CTGACTGAAATGTTTCCTGGATTAGTTGCTCTTTGTTTAGACGCGCATACCCAGCTTAGT CGTGGAAGTTTAGGAAGAACCGTAATAGATATTTCTTCTGGACAGTACCAAGATCGGCTC ATAAGCTTAATTGCATTGGAATTAGAACACCGCCGACAAAATGTTACATCCCTACCCATA GCCGCCGTGGTATCAATACATGACAGTGTTATGTTGCAATATGAACGGGGACTTGGAATG TTAATGCACCAACCGCGTGTAAGGGCGGCATTGGAAGAAAGTCGCCGCCTTGCGCAGTTC AACGTTAACAGTGACTATGATCTTCTATATTTTGTCTGTTTGGGTGTCATTCCTCAGTTT GCCTCCACACCGTGAGTATTCACTATCCGGTCCGTGGGGTGTTTATAATGGCTGCTGAAG CTGACGAAGAGAACTGTGAAGCGTTATACGTGGCTGGGTATTTAGCCTTATATTCAAAGG ACGAAGGGGAATTAAATATTACCCCAGAGATTGTGCGGTCCGCTTTGCCGCCTACTAGTA AAATACCAATAAACATCGATCATCGAAAAGACTGTGTCGTGGGTGAAGTAATCGCAATCA TTGAGGACATACGCGGACCTTTTTTTTTGGGTATCGTTAGATGCCCTCAACTACATGCGG TGCTGTTTGAAGCGGCCCATTCGAATTTTTTTGGAAATAGAGATTCTGTATTATCTCCGC TAGAACGTGCGTTATACTTGGTCACAAATTACTTACCCTCCGTATCCCTGTCTTCAAAAC GATTGTCCCCGAATGAGATACCAGACGGTAATTTTTTTACCCATGTTGCGTTATGTGTTG TTGGAAGACGCGTTGGAACAGTGGTCAATTATGACTGTACCCCGGAATCTTCAATTGAAC CATTCCGGGTTTTATCGATGGAAAGTAAAGCGCGGTTATTGTCGCTGGTTAAAGACTACG CGGGTTTAAATAAAGTATGGAAGGTTAGCGAAGATAAACTCGCCAAGGTGTTATTATCCA CAGCCGTGAACAATATGCTTTTAAGAGATAGATGGGACGTGGTTGCAAAACGTAGACGCG AAGCCGGAATTATGGGTCACGTTTATCTTCAGGCTAGCACCGGATATGGACTTGCTCGGA TAACCAACGTTAATGGGGTGGAGTCTAAATTACCCAACGCGGGTGTTATAAACGCCACAT TCCACCCCGGCGGGCCCATATAC >comp40_c0_seq1 len=701 path=[0:0-700] AAGTATAATTCAGGCCCATAACTTATGTTTTACCACGCTAACGTTAAATTTTGAGACGGT TAAACGTTTGAATCCATCCGATTATGCCACCTTTACAGTTGGAGGAAAACGTCTTTTTTT TGTGCGCTCTAACGTTCGAGAAAGTCTGCTGGGTGTTCTTTTAAAAGACTGGTTGGCTAT GCGCAAGGCTATTAGAGCGCGCATACCCGGAAGTTCTTCAGATGAAGCAGTGTTATTAGA CAAACAACAAGCCGCGATAAAAGTAGTTTGTAATTCCGTGTACGGTTTTACTGGAGTTGC GCAGGGATTTCTGCCATGTTTATACGTAGCGGCCACTGTCACTACAATTGGCCGTCAAAT GTTATTAAGTACCAGAGATTATATTCATAATAACTGGGCCGCATTTGAACGTTTTATTAC AGCGTTTCCAGACATTGAAAGTAGCGTTCTCTCCCAAAAAGCGTACGAGGTAAAGGTTAT ATATGGAGATACGGATTCTGTGTTTATCCGATTCAAGGGTGTTGGTGTTGAGGGGATAGC TAAAATCGGCGAGAAAATGGCACATATAATTTCAACGGCTCTGTTTTGTCCTCCTATAAA GTTGGAGTGTGAAAAAACTTTTATAAAACTTTTGCTTATAACAAAGAAAAAGTACATTGG GGTAATTTACGGCGGAAAGGTTTTAATGAAGGGAGTCGACT >comp24_c0_seq1 len=1228 path=[0:0-1227] CTCTTAAAATATAAAATAACCGGGTGGGTGGCATTAAACCCACAAGTACCCGGGCGGCAA TCCGCTAGACTGTTTTTCTGCTCATGGAATTACAACGCATATTTCCGCTGTACACCGCTA CGGGTGCAGCGCGCAAATTAACCCCCGAGGCAGTTCAGAGACTCTGCGATGCATTAACGC TGGATATGGGATTATGGAAGTCCATCCTGACCGATCCCCGGGTGAAAATAATGCGATCAA CTGCTTTTATAACTTTAAGGATCGCTCCGTTTATCCCCCTTCAAACGGATACTACTAATA TTGCCGTTGTTGTAGCCACAATTTACATCACGCGCCCACGTCAGATGAACTTACCTCCGA AGACTTTTCATGTAATTGTAAATTTTAATTACGAGGTCTCGTACGCAATGACGGCGACTT TAAGAATTTATCCGGTTGAAAACATAGACCATGTTTTTGGAGCAACGTTTAAGAACCCGA TCGCGTACCCCCTTCCAACATCTATTCCGGATCCTCGAGCAGATCCCACCCCCGCAGATC TTACACCAACGCCAAACTTAAGCGACTACTTACAACCCCCGCGGCTTCCGAAAAATCCAT ACGCATGTAAAGTTATTTCTCCGGGAGTGTGGTGGTCAGACGAACGAAGGCGTTTATATG TACTGGCTATGGAACCTAATTTAATAGGGCTATGTCCCGCCGGATGGCATGCTCGGATAC TTGGCTCTGTATTAAATCGACTCCTCAGCCATGCGGACGGATGTGATGAATGTAATCATA GAGTTCACGTGGGGGCACTGTATGCGTTACCCCATGTCACAAATCATGCGGAAGGTTGTG TGTGTTGGGCTCCGTGTATGTGGAGAAAGGCCGGTCAGCGGGAATTAAAAGTGGAGGTAG ACATTGGCGCCACGCAGGTTCTTTTTGTAGATGTCACCACCTGCATTCGAATTACGAGTA CTAAAAATCCTCGCATTACCGCAAATCTTGGCGACGTTATAGCGGGAACCAACGCCAGTG GTCTCTCTGTACCAGTAAATTCATCTGGGTGGCAGCTTTATATGTTTGGAGAAACATTAA GCCGGGCTATTATTAACGGCTGTGGTCTGCTTCAGCGAATTTGCTTCCCCGAGACACAAA GATTATCGGGTGAACCGGAACCTACAACCACCTAGTATACCTTAACTCAACCGCCGTTGT GGAAAGGACGTGTGCGCCGACCACACGA >comp66_c0_seq1 len=720 path=[0:0-719] GGTGGAAAAGGCAGAAAACCCGGATTTTATAGCGGATTCGTATTCAATGCGTAGCTCATT GACCTCATTGGCCACGCGTAATGCCGATAGTGTAGTTTCTTCCACAATACCTTCATCGGG AAGTGCCGGTCGTAAAGATAATCCACCCTGCCTGCATAGCATGGTTCCAAGTTTAACCCC AACTGATTTATAACACACTCTATATCGAAGTGGAACCCCATCAGTATCCAAGTAAAAGGT TAAATTTTTTCCAAACAAAGCGTCTATAGAAGATCTGGCTTCCCTAAACGTTTGCACCAC AGACGCCTCCCCCATAAACGCGGCCACCCGCGCGCGAATGCATCGGGATTGGTCTTCTAG ACATACACCCGACATGGCGGGAATAGGAGCAAACACTCCGTTTGGAGACGCGGGTGGAAA AATCTCAGCATAACTTGCATACAAGCCTAACCGTACCATGAGTAAATTTCGAAATGTCAT ATACTGTGTTTTTATCCATATAGGCAAATGTGTAAATTGATCGAAATCATGTAATAACAT ACGAAGAACGTCATGGTCACTCTCCGTTGGAATACGTTCAATTAAAGCTCGTAAGCGAGA CGCGGTCTCTTCAAACTGTCTTTGTTTTTGCAACACAACATCCAACGCCGTTTTACGTTC CTGTTGCTTTTTGTGGAAACGAAAAACCGTCTCCAAAAAAAGCAACAGGAACGTAAAACG >comp20_c0_seq1 len=1333 path=[0:0-959 960:960-1077 1078:1078-1332] ATGTTGTGCATATACCACGTATTCCCCCCGTATTGATATGATTTAAATGATTATCCTTGG TTGGTTTTGGTCTAACATAAGATATAAGCTCTACTATAGCGAGCGTGCATACAACAACCC AGGCCAGAATCCGAATGTATGTGGGGTATAATAACGCGCATGGTGTATATGCAACGCCAA GCGTTAAAAGCACAATACATCCAGATGATATATGAGCGATAACCTCCAAAAGCATCAATA ACGTAACACCTTTATGCATATATAAAAAACTTATAGGGTCAGCATTAAATACTTTACTCA TACCATCCCGTCGCATGGAAACATCACATAACAACCTTGCCAACTTTGTATATGGGTAAC CAAGAAGAATGTTCGAAATAACCCGTGTTACGTAATTCAGTGAATATGATGTGGGGGATA TTAACTCACAGGATGATCGGAATGGCCCAAACATACGACGTATTCGTCGAAATTGTAAAT ACATACCATATACAAACCATGCAAAAAAAATCATTTTTAGCTGCACGCACCAAAAATAAG CGTGACAATTACGTGTTCCCAGAACAATTCGAATTTTGTCATGCAAAGGTGTAGAAATAG CGGTTTTTACCATAGTATCTCCTGATAATAGATTTTCCCGGCAGCTGTAATCGTATCCAG ATAGGCCATCCAAAAACGTTGAGTGGTTTACAAACGTTACATATATAAGAGAGTTGTTAT AAGACCCCCATACAACCGGTCCACCATTAATCACCGTGGTTGCATACACACACTCATGTT CAAACTTTACACGAGCGGTATACCATAGGGTAAAAACAGCATGTCCGCTAAGTAGACACA TAATTATAAAATGTTCTGTCTTGATTCCTAAAGCCTGCATGACCCGTGGAAGATGGCAAT TCAAGCACGATGTAGTATCACACGGTTGGTGTTAACTCGAAGTTAAATTTGGATAATTAG GTACTTCTAGAGTAAAGATTGTATGCATGCGATTGCTATCGCACTTTGTAGCAAAACATT GTTGTGCAAGCGAAATACACAAACGGTTGTGATGATCCACTCGCAGAGACACAAATGTCC GGGGAGCCGTTCTTCCTCCGCGATGGGGATATCGAAGACAAGTGAACCCTTTTGTTCCGC ATATGAGCTGAAATAACACCCAGTCCCTTTTGATGGCGATACACTTTGATGATGTTAAGG TATATTCGCGATCACGCCCGGGGAAATGAACAGCAATATGCTCCACAATAGATTCTAATA TTGTGCTGTCGACAAAGGCCTCCAGTGTAAATGCGTCCAGACAAGTTACCCCGCGCTCTT TTAGAGCCTTTGT >comp1_c0_seq1 len=1819 path=[0:0-1818] TTACTGTAGCGCAACATGTTGTGCTACAGTAATGTCCGGCCTTGCTATAAAATGTTTTTA TATCGTCATATTTGCTATAGCAGTGGTTATTTTTATGCATTACGAACAAAGGGTGCAGGT AAGCTTGTTTGGGGAAAGTGAAAACTCCCAGAAACATTAATCATGTGACTAAACACGCCC ATTGCGGGGTTGGGTGAGCCTATAAATTCTACAACATTGGCGGAAGATACAGGCAACTGC AAACACGCAATTGTCAGATATTTTGCAGCCATGGCCTCTGCTTCAATTCCAACCGACCCA GACGTGTCTACTATTTGTGAAGACTTTATGAATTTGCTACCAGACGAACCTTCGGATGAC TTTGCATTGGAAGTCACCGATTGGGCAAATGATGAAGCTATTGGCTCCACTCCAGGCGAG GACTCCACAACGTCTAGAACTGTGTATGTGGAGCGTACTGCAGATACAGCATATAATCCA CGGTATTCCAAACGAAGGCACGGAAGGCGTGAAAGCTACCACCACAATCGCCCGAAAACT TTGGTTGTTGTATTACCCGATTCAAACCATCATGGAGGAAGAGACGTGGAGACTGGATAT GCACGCATCGAACGGGGACATCGACGATCATCCAGATCTTATAACACCCAAAGTTCAAGA AAACACCGTGATCGATCCCTGTCAAATCGAAGACGGCGTCCTACAACGCCTCCTGCAATG ACCACGGGAGAAAGAAATGATCAGACACATGACGAATCGTACAGGTTGCGATTTTCCAAG AGAGACGCCCGCCGAGAGCGTATTCGAAAAGAGTATGATATCCCGGTCGATCGAATTACG GGCCGTGCTATTGAAGTCGTCTCCACCGCGGGAGCCAGCGTGACCATTGACTCGGTACGC CATTTAGATGAAACAATTGAAAAACTGGTAGTCCGATATGCCACAATACAAGAGGGTGAT TCATGGGCTTCCGGTGGATGTTTTCCGGGGATAAAACAAAACACATCTTGGCCGGAGTTG ATGTTGTACGGACATGAACTTTATCGTACCTTTGAGTCATATAAAATGGACTCACGTATT GCCCGCGCGTTGCGTGAGAGAGTCATACGTGGAGAATCTTTGATTGAAGCGTTGGAGTCT GCGGATGAACTGTTAACGTGGATTAAAATGTTAGCGGCAAAAAACTTGCCCATCTACACA AATAATCCCATTGTTGCAACCTCGAAGTCACTTTTGGAGAATTTAAAGTTAAAGCTGGGG CCTTTTGTAAGATGTCTTCTTCTAAACAGGGACAACGATTTGGGGTCTCGTACTCTCCCC GAACTGTTGCGCCAGCAACGTTTTAGTGATATCACGTGTATTACTACTTATATGTTTGTT ATGATTGCCCGCATTGCTAATATAGTTGTCCGTGGCTCTAAATTTGTGGAATATGATGAT ATCAGTTGTAACGTTCAAGTGTTACAAGAATATACACCCGGGTCATGTCTGGCCGGTGTT TTAGAGGCCCTAATCACCCACCAACGCGAGTGTGGTCGTGTTGAATGTACCCTCTCAACT TGGGCCGGGCATCTTTCTGACGCCCGTCCATACGGTAAATATTTTAAGTGTAGTACCTTT AACTGCTAAAATAAAAAATACCTTTTTCATGCTTGTCAAAACATACTAATTTGTATTTTT AATCATTAAGCATATTTACCTGTTAGAATAGTAAATACCTATTTCATGCTTGTAAAACAT ATCAATTTATATTTTTAATCATTATACACCACCCCTTGATTTTATCAATTGTTTATGTGA TTCTATATTAATAAAAGAC >comp11_c0_seq1 len=3180 path=[0:0-3179] TTTAAAAATCCATTAAAGAGCCATTTCCATTTTTAGGGGGGGGTGTGGATTATATCCATC AAGCTGAAAATCGTCCCATTTAAAGTCGTTTATATCTGTTACATTTCGAATAATTTTAAG GCAAGGAAAAGGTTTTGGGGATCGAGCTAGCTGCACTTTTAAAGCATCTATATGATTCAA GTAAATATGTGCATCCCCCATTGTATGAATTAAATCTCCGGTTTTAAGTCCTGTAACATG CGCTACTATGTAGGTAAGAAGTGCATATCCAGCAATGTTGAACGGTACCCCAAGGCCCAT ATCCCCCGATCTCTGGTATACTTGGCAGGATAATTCACCGTTTGCAACGTAAAACTGACA TAACGTGTGACATGGAGGTAGTACCATTAAGGGGATATCCTTTGGATTCCAAGACGATAT AATCATTCGTCGGCTTTCTGGGTTTGTTTTAATTGTATCTATAACAGTTTGCAGCTGATC GATTCCTTGCTGTAAATAGTTTGATTGACAGTCTTTATATTCCGCTCCAAAATGTCTCCA CTGGAAGCCGTAAATGGGGCCAAGGTCCCCCGTGTGTCTTTTATGGAAGCCATTCCTATT TAGAAATTTGCTCGATCCGTATATATCCCATATGTGTATATCTTTAGCGGCGAGTTCTTT GGAATCGGTTGACCCGCGGATAAACCATAACAACTCTTCCACGACGGCCCTCCAAAAAAC ACGCTTTGTAGTTAAAAGAGGAAATTCATTTCGCAAATTGTATCGAGCTTGCATTCCAAA TAAAGATAACGTTCCGATTCCTGTTCGATCGCGTTTCCGAACTCCATACCTTAAAATATC ATCCACTTGTTTTAAGTACTGAAGTTCGCCGGTTAACGTAAAACCCGGCACTTTTGTCCA ACATGACAAGTCTCCCATGGTACCGGTAATAATCGTTAAATACAAACGACCACTTGATAT TGTGGGTACATTAAGTAAAATTTAAAGGAGTAATTCCTTTTATAACCCAATCAACCAATC AGACCTTTAAATAACGCAGTCCAATTATTGAACAGAAAATACGCAATAGACTATTTTCTC CCAAATCCCCCAATTTTAACCTGGTTGTGGAAATGACCGCCAAAGTGCCTAGTCCATAAC TATCTATTAACCGCTGTACTTAATGATGACTCTTAGGCGTATTTTTCCTAAACGTAACCG TGGTTTTACATCTAACGGGAACGTCGTTGGGTATAAAATCTGGTGATAAGTCATCGTCTG TATGCATGTCTCCGGAGGTGTACCCGTTAAGGCTATCCACATCCGGGTCTGAAGATGAGT TAAAACCCACTTCCTTGGGTGGTATATTTTCATATACGTGATCATTTAAAGATGCTTGGG TTTCTATGTGACGTAAATCCGATCTTTGGTCAAACATTGTGTTTGATTCATCCCGAACCG GACCTTCATATTCCGCCTTTATCCGGGTGTAATGATCAGGATACGTTGGGTCAACTGGAC TACCGTCCGTATGGCCTATGTCCAGACAGTGGTTTTTTCGGACAGTTACATCCAAACCCG TGTCTGGACGAACTAAAACGCGAGAAGTCCGCTGTCTATTTGTATCGGGTGCTATACTGT TTAACGGTGCTTCCGTATTAATTACATGCGAACTTGCATTTACGTCGTCAGATAAATAAT TTCCCGTTAAACAGACACATTCCAAATTCCCTATACCTGTCCCTATTGGAGATCCCAGTC GATTAAAACGAATATACGGCTGATCAGACACACTCGATGGTTCGGATATACGTCTTAAAT GTAACGGAGTATACCGTTTACTGGCGGCAAGAACCTGAGCATAATACTTTGTGGGTTTAC CCCCATGTGCTAAAATACTCTGCGCCACGGCCCGGGAAAACCACATATGGGTGCTGGTCT CTAACACAACCCAACTGTGTGTTGACATTGTTCTAACCAACTGACCCGCAAAATATAAAA ACCGTCCCTGGGCGCGTAGCGCCTTTAATATATAAGGATCGTTTAATCCCCCATCCCCCC AACATGCATATCCAATAAGCATCATATTAATTAAGTATTGAAAATGGTGGTGCAAAAGCG TAATAAGTTCAACCGCCGCAACAATTGCAGCTGCGGTTCCATTTAAACCATCCCGCCACT CTTCCTTTCGCCATAATACACTAATACGCAAAAGCGCAGTAAGAGCGCTGGCAGTTGTTG CTGCTAAAATAAACGCAACTCCTGTGCCCGCTGAGACCGCAGGACCCGTTTTTAAATGTC GTCTAAGCAAATCATCTGGAATAACAGACGCGCGCGGCCCTCGAATCCGTCGAAATTGAA GTTTGAGATGGCGACATACCCTGGCGTCCACAACGTCCAAGAACCATAACATCCACCCGT AGCCAGTAGCCGTGTAAGCCGCAATTTCTTGTACACGTATTCTTGTATCCGGGCTGGGGT TTGTAGGATCATCTGGACGCATAAAATACATATACTTTTGCACAGCTCCTAACGCCTCAC GTAGCTCCTGACATATTCCCCGGTAATCCGAATTTATAACTTTAGATTTAAAAGGATGTC TGGATATTGGTTTATTGGCAACTACGGATGAAAACAACAAAACCGTGGATTTAGACTTTT TATTTACCTTCTCTGAAGTCACCGGTACCTCGGCTCCTGTGGTGTATTTGAGATACTGCC AATATGTATTTTCATAAACCCACCAAAGTCCATCCCCAGAAAGTTTCAGGTCATCCAAAC ATCTTTGAATTGTTTCCATATAACGCTGCATAAACCCGTCATGAACATCGTTAGACATAC ACGAGACCACCAACGATTCAGGAACATTATTATGGTGTAATCCAAGCAGAACACTGTGTC TTTCGGTACTTTGTAAAACCGGCGATGTTAGGCTGTCGGTCTTTTCAGATAAAGCCTTTA CCGCCGTCTCCAAAGCCTCGCCGGGCGTTGGAATAAGACATCCATCCCTCACGCGCTCGC TGGTTATGCGTTGGGAAATAGAACACCAGTCCCGGGTAGGTGTGGGCAAATCACGTTCGC CGGCATTAAAACTTTGGTAACTACCATCATAAGATTTACGCGTTCTATCATCGCTGGAAA AGGAACGCGCAAACCGAGAAAACATTGCGATATGGACAAATTATATCTTGTAAAGGTCGA >comp38_c0_seq1 len=794 path=[0:0-793] CCTGCAACCGTATAAGCGCATCCATAACAGAATGTGACGTTAAGGCGCCTTGATCATACC GCCCCCCACGAGCATGAAACTGGTCGCGTGGTAGACGATCATAGCAAAATTGATAACTGT TTTTATTTTCGTGTGTTGTCATATAATTCACAAATGTCTCAGTATATTCCGGTAGGTGCT CTATAAGGTTCCCGAAGGACGAAACTTGAGGTTCGTGGACACTATTAGATGTCCTATACA TTAAATATAAACATAATACCGCACACTCGAACGCGGAGTACGCTCTATCTCCAACATACA TTCTCCCGGCGGACTGTAGACATGTTACCGTTGTGTTCATAAACGTACGGGAAATGCGCC CGTCTTTACAATCAACTCCGCGTGCAGCTACGGGCCTATCTAACACAAGCCGTTCCTGCA GAGTACGATACCATGGCCCGAAAACAATCCCTGGAGAGTTATTGCCCCTTGCCCTTCCCA AGTACACCAGGGTGATAAAATCCACTTGAAAGTTTGTATCGTACTGCAACGGTGCATCAT TTTTGGCAATCTGTACCTCGGGGTGTATAGACTCATTGCGTATTATTTCTGTACGTGTAC ATTCCTCAGATTGTGCATCTGCTTCTTCCGCCTCGGCAGCAGCCGTCTCCAGGGAATCCA AAACCTTGGCCATGCGCGTTAGTTGGTCTTCGAGGGGCTTTAAACGACGATCTATTTCCG TTGGTAACGTAATCGTTTCCCCGCGAAGGTTGTCTAATGCGGCAACGGCCGCCGCATTAG ACAACCTTCGCGGG >comp61_c0_seq1 len=346 path=[7:0-345] GTATACGTATCTGTTTGTAATGCCAAAGATAACAGCCCCCCCCGCACATTGCCGATCAAA AGCTCGCTTCCGTTGAAATTAACATTATCGACATACGCGCTAAAGGGGGCGGTTGTAAAG CTGCTTTCGAAAAGCTCTGCTAATATGGCATATCGACCATCGTAAATAGCTTTCATTAAC AGAAACTGAGCATGGACCTCATTGGATGATTTGGGATAGGAAAATTCGTACTGGCAGTAT ACCAAGTCAATAACCTCGTCGTTAAGTGCCGTAAAAATTACATCATCCGGGTCTTCGGGT ATGGAGGCCGTTACTTTGGACTCGGGGGCTCTGGTAAAGCAGAAGG >comp0_c0_seq1 len=1738 path=[0:0-1298 1299:1299-1737] ATTCTAATGTCCGGGCATCCAAACGCATGGCAGTTCTGCTACGTGTTTGGATGCCCGGAC ATTAGAATACAGCCAGTTGTTACCATGGATACCATATTAGCGGGCGGTAGCGGCACCTCC GACGCTTCGGATAATACCTGCACCATATGCATGAGCACCGTTTCCGATCTCGGAAAAACC ATGCCGTGTTTGCACGACTTCTGCTTTGTTTGTATTCGGGCATGGACCTCCACCAGCGTC CAGTGTCCTCTCTGCCGGTGTCCAGTGCAATCCATCCTGCATAAGATCGTAAGTGATACA AGTTACAAGGAATATGAAGTGCACCCATCCGACGACGATGGTTTTTCTGAGCCGTCATTT GAAGATTCCATCGACATCCTACCGGGAGATGTCATAGATCTTCTGCCACCAAGCCCAGGA CCGAGTCGGGAGTCCATCCAACAGCCAACATCAAGATCGAGTCGGGAGCCCATTCAATCA CCAAACCCTGGGCCCCTTCAATCGTCGGCTAGAGAGCCCACAGCAGAGTCACCAAGTGAC TCTCAACAGGATTCTATACAACCACCGACCCGAGACTCGAGCCCTGGTGTAACCAAAACA TGCTCTACCGCATCATTTTTACGGAAGGTATTTTTTAAAGACCAACCTGCTGTTCGATCG GCGACCCCGGTGGTGTATGGCTCGATTGAATCTGCACAGCAACCCCGGACCGGGGGGCAG GACTACCGTGATCGTCCAGTATCTGTGGGAATTAATCAAGACCCACGAACCATGGACAGA CTGCCTTTTCGAGCCACGGATAGAGGAACAGAGGGAAACGCGAGATTCCCGTGTTACATG CAACCTTTACTCGGATGGCTTGATGATCAACTTGCGGAACTGTATCAACCCGAAATTGTA GAGCCTACAAAAATGTTGATATTAAACTATATAGGTATTTACGGGCGTGATGAGGCGGGA TTAAAAACATCCCTGCGTTGTCTTTTGCATGATTCAACAGGACCGTTTGTAACAAACATG TTATTCTTGTTGGATCGATGTACCGATCCAACCCGCCTAACCATGCAAACCTGGACCTGG AAAGATACAGCCATCCAACTAATTACAGGTCCAATTGTAAGACCAGAAACCACCTCAACC GGGGAGACCTCTCGTGGCGATGAAAGGGATACCCGATTGGTAAATACACCCCAAAAAGTC AGGCTTTTTTCTGTGTTACCGGGGATTAAACCGGGAAGCGCAAGGGGTGCTAAGCGCCGT TTATTTCATACCGGCAGAGACGTTAAACGATGCTTAACAATAGACCTGACATCTGAGTCT GATTCGGCATGTAAGGGAAGTAAAACCCGCAAAGTTGCCTCTCCACAGGGGGAGTCCAAT ACCCCCTCCACCTCCGGATCAACATCAGGTTCACTGAAACACCTTACCAAAAAAAGCTCT GCCGGTAAAGCGGGTAAAGGTATTCCAAACAAGATGAAGAAGTCCTAGTTTGTTGGGAGG GGGAAGGAAATGCCTTAAACATCCACAGTCTGCTTTATTACCAACTGTATGTAAATTATG ATCATTAAACGTGCATTTTAAAAATACCTGAGTGTTGCTATTGGTCGTAAGGGTTGGTAT ATCTGGAACCCAAGGTGTAAATACTGCCCCCTGGTAAGTCCGTACACGATTCGGAATGCC CGCAATCCGGTCTCGGAGTAACCGGGGCATCCTGCTCTGCAAATACAATAAACATAAC >comp0_c0_seq2 len=463 path=[1756:0-23 1299:24-462] TCTATTGTTAAGCATCGTTTAACGATAGACCTGACATCTGAGTCTGATTCGGCATGTAAG GGAAGTAAAACCCGCAAAGTTGCCTCTCCACAGGGGGAGTCCAATACCCCCTCCACCTCC GGATCAACATCAGGTTCACTGAAACACCTTACCAAAAAAAGCTCTGCCGGTAAAGCGGGT AAAGGTATTCCAAACAAGATGAAGAAGTCCTAGTTTGTTGGGAGGGGGAAGGAAATGCCT TAAACATCCACAGTCTGCTTTATTACCAACTGTATGTAAATTATGATCATTAAACGTGCA TTTTAAAAATACCTGAGTGTTGCTATTGGTCGTAAGGGTTGGTATATCTGGAACCCAAGG TGTAAATACTGCCCCCTGGTAAGTCCGTACACGATTCGGAATGCCCGCAATCCGGTCTCG GAGTAACCGGGGCATCCTGCTCTGCAAATACAATAAACATAAC >comp35_c0_seq1 len=1453 path=[0:0-1452] CGATACATATGTACCACATAGATAGCATAGATTTATTATAATATAAACACACACGTGATA TACTTTAGTGATATGAGATGCCATAAAACAGTCAATAGGTTTAACGCTTAGTCTCATCAT CTGAATACACGTCAAACCCGCCGCAACTGTTGATGTTAGAATTATAATAGCTCCCCATGA AATGCCGGCAAATGTTACAGCTATACCCGTCACCGAGGTCGTTGTATATAATACAATTAC CCATAGGTTTTTTTTTTCTTGATATAAAACGGCAAAACCCTGTAACCCAAATGCTATAAT ATGACCTCCTATTGAAACTGCTAACGTTACTTGTGTAAGTTTGATAAAATGATTTAATTT AATTATATGTGAGATTGCCCACATTAATGGGGTAACTATATATAACACCGGGGGTATAAC AGACATTATACGAATTCCTTTAAACACGCGTTTAAGGGTCCGGGAACTTTCTCGATGGTC ACATACTCTCCCGCGGTCATTTTGTGTATATACAACGGCAAAACCTAAATCTGTATAAGT GTTTAATTGCTTATGGCGATTTTTACGATATATACACGTATCTTGCAAATCGGTGGCGGC ATCGACAATTGAAACTAGTGTGACAATAGATATACACAATCCAATAAGAACCTCATATTT ACTGACATACATATATAAAATAACGGTTAGTAAACCTCCCAACCCAGTTCCCAACATCAT AACATAAAAATAAATATGCGGTCCATTGAATGTCGTAACAAAGTTGTAGTAATGGATATG CACAGCAGCCACTGTTCCGGTAATCGCGGATATGGAAATTCCCAGTAATTCTACAAATGG AAGATCCCGGGATATTGGGCAACCAACCGCCCATAACACAGCAAAACCCAACACGACCAC CGTCTGCAAACATCGTCCCAATTTTGCTAATGTGCGTAGAAATTTCACGGATGTTGGCCA TAACCCCGAAACGACGATCAACCCCATAATAGTTGCATTGACGGCAGCTTCGCAGACGTG ATATTGTAAAATTAACCCGGACGTGATAACACTTGCTTGTAGTCCCACGAGAAACAACCG CGATGCTGAGGTTATTGCACACGAATTACATTCTTGAGGGTTTCCGACACATCCTTGGAT TGATTGAGCGCGGATTAATTCTCTGTCTAACACACCCAGGTTTTCATCATGGACAGCTCT TTCACCATTCACGGCCATGTCTTAAGTTTAATAATTCAAAACAAATAAAAATGTGTTCAT CTATGGTACACACAAGTTTGTATGTAAAATATAAGCAAAAGTTGCACTTATTTAACTGTA CATATTACGTCAGATTCACGTGATAATTCAGAATAATCCAGGGTTCCTGCAGGGTCCACT GGAGGAGCCACACAATATTCGCGAATTCCGATTCCCTCCTGCCATGTGGTTTCGGAATTC GCGAATATTGTGT >comp34_c0_seq1 len=2955 path=[0:0-2954] GAGTAATACCCCATCTTGAATCCATACGTAGGTCAAACCAGGTTAGTACGGCTTCGCGTA CGGCACTTTGTCCTGCTTGTGGATTCAAGATGGGGTATTACTCCCCCGGTGGATGTGGGT ATGACACCTCCTATTTGTGTTGATCCACCGGCTACAGGGTTGGAAGCTGTCATGATAACA GAAGCACTAAAGATTGCATATCCTACCGAATATAATCGCTCTAGCGTGTTTGTGGAACCG TCGTTTGTGCCTTATATTATTGCAACAAGCACGCTTGATGCCCTTTCGGCAACAATAGCT TTGTCTTTTGATACACGGGGAATACAGCAAGCCTTGTCTATTCTTCAGTGGGCTCGCGAT TATGGATCCGGAACCGTGCCCAATGCAGATGGATATCGCACAAAACTATCTGCTCTTATA ACAATATTAGAACCTTTTACCCGTACACACCCCCCAGTACTTTTACCATCTCACGTTTCT ACTATAGATTCCCTTATATGCGAACTTCATCGGACTGTTGGCATTGCCGTTGACCTGCTT CCCCAGCACGTCCGTCCTTTGGTTCCTGACCGTCCTTCTATTACAAATAGCGTTTTTTTA GCAACTCTCTATTATGATGAACTTTACGGTCGTTGGACCCGACTGGATAAAACATCGCAG GCGTTGGTTGAAAATTTTACATCCAACGCGTTAGTGGTTTCTCGGTACATGTTAATGTTA CAAAAATTTTTTGCGTGTCGTTTTTATCCAACGCCAGATCTTCAGGCCGTTGGTATCTGT AACCCAAAGGTTGAACGCGATGAACAATTTGGGGTATGGCGTTTAAACGATCTTGCTGAT GCGGTTGGTCATATTGTTGGGACAATACAAGGAATCCGAACGCAAATGAGAGTGGGAATA TCCAGCCTGCGCACAATTATGGCCGATGCTTCCTCAGCCCTTAGGGAATGTGAAAATTTA ATGACTAAAACCTCCACTTCTGCTATTGGGCCTCTTTTTTCAACGATGGCTTCCCGGTAT GCACGGTTTACACAGGATCAAATGGACATTTTAATGCGTGTTGACAAACTAACAACAGGA GAAAATATACCCGGTCTTGCAAATGTAGAGATTTTTTTAAATAGGTGGGAACGAATAGCA ACAGCTTGTAGGCATGCCACGGCAGTCCCGTCTGCCGAATCTATTGCAACCGTGTGTAAT GAATTGAGGCGCGGTTTAAAAAATATACAAGAGGATCGTGTAAATGCCCCAACCTCATAT ATGAGTCACGCCCGAAATCTGGAAGATCACAAGGCAGCAGTTTCATTCGTTATGGACTCC AGGCAACAGTTTATTGTGGATTCTGGACCTCAGATGGGCGCGGTTTTAACTTCACAATGT AATATAGGAACATGGGAGAATGTAAATGCAACGTTTTTACACGACAACGTTAAAATAACG ACAACGGTCAGAGACGTAATTTCAGAGGCTCCGACGCTGATAATAGGACAAAGATGGCTT CGTCCAGATGAGATTTTATCTAATGTAGATTTGCGTCTTGGCGTACCCGGGAATACAAGT GGGAGTGACCCTTAATATAAAACAGGCGTGTTTATGTACATTAAAGTATTTGTGGTTTTT ATTGACTGGGCGTTTCGTTTGTATAACGCTGTTGTTGCTAGTATTTTCATAACCTCCTAG GTTTTTGGAGCTACACGTGCTTATTCAACGCTCTTTGGGATTTGAATCATCGTAAACGTA GCGTCCCTACCAGTTGAGCGCGTAATTTTCGTAAGCAATAAAATGGATATAATTCCGCCT ATAGCTGTCACTGTTGCGGGAGTGGGAAGCCGTAATCAATTTGACGGTGCCCTGGGACCG GCGTCAGGTCTGTCATGTTTAAGAACATCTTTATCGTTTTTGCATATGACATATGCGCAT GGAATTAATGCAACCCTGTCATCAGACATGATTGATGGATGTTTACAAGAGGGTGCAGCA TGGACTACGGATCTGTCTAATATGGGGAGGGGTGTCCCAGATATGTGTGCTCTTGTTGAT CTCCCCAATCGAATTTCATATATTAAACTGGGGGACACTACCAGTACGTGCTGCGTTTTG TCTAGAATATACGGCGATAGCCATTTTTTTACCGTTCCAGACGAGGGTTTTATGTGCACA CAAATTCCCGCTAGAGCGTTTTTCGATGATGTGTGGATGGGACGTGAAGAGTCGTATACA ATTATAACTGTAGACTCAACGGGAATGGCCATCTATCGTCAGGGAAACATATCTTTTATT TTTGATCCACATGGCCATGGGACTATAGGACAGGCTGTAGTTGTTCGGGTGAATACCACG GATGTGTACTCTTATATCGCATCGGAGTATACCCACCGCCCCGATAACGTAGAATCCCAA TGGGCCGCTGCATTAGTTTTTTTTGTCACCGCAAACGACGGTCCCGTAAGCGAAGAAGCG CTATCTTCGGCAGTAACGCTTATATACGGAAGCTGTGATACATATTTTACAGATGAACAA TATTGCGAAAAACTGGTTACAGCTCAACATCCGTTGCTTCTTTCACCTCCTAATTCCACG ACAATTGTGCTTAATAAATCGTCTATAGTACCTCTTCACCAAAACGTTGGTGAAAGTGTA TCCTTGGAAGCAACCCTACATTCAACGTTAACCAACACGGTTGCACTGGACCCTAGATGT AGTTACAGCGAGGTTGATCCTTGGCATGCGGTTCTAGAAACAACCTCGACTGGGTCTGGC GTTTTGGATTGTCGTCGTAGACGCCGTCCTTCATGGACTCCTCCTTCAAGCGAGGAAAAT TTAGCTTGTATCGACGATGGCTTGGTAAATAATACACATTCCACGGATAATTTACATAAA CCCGCTAAAAAGGTTCTCAAATTTAAACCAACTGTAGACGTGCCGGATAAAACACAAGTG GCACATGTATTACCC >comp39_c0_seq1 len=1502 path=[0:0-1501] GAGACACACTATATTACAGGTCATATGGGTAAGGACTACACGCAAAAAAGAAAACACAAC AGAATATGTAATATTGACTTGTTTATTACGTACACTCACCCGCGTGTGGGCTTTAATTGG ATAAAGAGGGAGGTTAAATCATTTCCATTGTAATGTTCCCATGTTTTATGGGAATACCAC TAAGATCAAAGAGTTCGTCATCTTCGGGGGGTCGTTTAAGACCAGGGACAGTTGACCCTG AAATGTTTAATACGTTAGATGTGGTGTCATGGCTTGGTTCACAAGAATCAAAATTAAATG CTAGGTTTGTGGGGGTTTCCCCATCTCCCGCTGTCGTTTTTTCATCTAGAATCTTTACGG CTTCTAGAGCGCCTTCTACGGTCCAGGGCGTTTCCAGGGTTTGGATAATCTGGTCGTGTA ACTCCTCCAAGTCTCTGGCTAAAAACTCATCGTCTGTAAGACTTAACCAGTCGTCAAATG CCATATGTTGTGCTCGAGCGCCCACTGCACGCACAACCGTGGCGTATATGGCTAATTGAA CCATGGCCCCGCCACTGACAATTATACCGCGAACTTGGTCGGATAGGGTGGTTTCTCGAT TTCCCGACGAGGGACCTGTTACGGGGCAGATAAAACCTCCTCTAGGACATGCTATTATAA AACGGCGAGTGCGATCAAATGTAAATAGCGGGCATACATTTTTACCCCCGTTTAAACCGC TCCAATTCCCTGCCTGAAAGACGCGGTTGTTTCCTGCCGCTCCGTGATATTTACTAATGC TTATTCCTAAAACGACCATGGGACGTTGATTCATGGCCGCGCGGACTAAATGAGTTGAAG TAAAAGCCGTAGTCCATAATTCCGGTAAGTTTTCCGTTTTTTCAAGAAGCGCCTTTGCTT GGGTTTCTATGTCCGCGGCGGACGTGACATCTTTACGAATCCAATGCAAAACGGATGATG GGTCACGCGGGCGCCTGGCACCCGTAATTATAGAAGTTAAGGTATTTATAAGGTACTGTG AATGATCGCAGTATTTAAGAATAAGATTTGCCATATAAAACTGGGCTAATTCTCCTATGC AGGTTGGGGGTAGATTAATAAAGTTTATTGCTGCATATTCCTCGGTAAACCGTTTAACAG CTGCAATAGTGGTAATCTCTTCGTGTGTAAGTTTATCTGCCGGCATCTGGTTGCGTTGTA ACAGGGTCCAAAACCACTGCGGGTTGGGGGATTTACTGTTTGGTGGCATACCCCGAGGAA ATAACAGGCCGTGAAACTGTTTAAGCAAAAACCCTAGGGCCCCGTGTAACATATCCACTC TTTTTTCTTGGCGTTGGTACGCACTTGCAAGGCCTACAAGCCTTGCCCGGGCTGCCTCAG AGAGATTTGTACAGTTACCTGAAAAAACGACCCTATTTTTAACTCGTATATCCCGAATAA CTTCCACGCTTACGCGCGCTAAATCCCCATCAAAGGTACGCCCCGCGGGCGCGTCTTGTC CC >comp41_c0_seq1 len=938 path=[0:0-937] TAGCGTTGGGTTTCTCGGCAAAGGAATGGATCCCTTTGCCGAGAAACCCAACGCTACTGA TACCCCAATAGAAGAAATTGGCGACTCACAAAACACTGAACCGTCGGTAAATAGCGGGTT TGATCCCGATAAATTTCGAGAAGCCCAGGAAATGATTAAATATATGACGTTAGTATCTGC GGCTGAGCGCCAAGAATCTAAAGCCCGCAAAAAAAATAAGACTAGCGCCCTTTTAACTTC ACGTCTTACCGGCCTTGCTTTACGAAATCGCCGAGGATACTCCCGTGTTCGCACCGAGAA TGTAACGGGGGTGTAAATAGCCAGGGGGTTTGTTTTAATTTATTAATAAAAATGTGTATT ACGTTACTCATGTGTCTCCATTACGCATCACAGGGGGTATTTATACCCGATAATATACAA AACGCGTTTTGTACCTCTACCGCACCCGATATCTTAACGGGGTTATTATGGAATCGTCTA ACATTAACGCGCTACAACAACCGTCGTCTATCGCACATCATCCGTCCAAACAGTGCGCTT CAAGTCTCAATGAAACAGTAAAAGATTCTCCCCCCGCGATTTATGAAGATAGGTTAGAAC ACACGCCGGTACAATTACCCCGCGACGGTACACCCCGAGACGTATGTTCTGTGGGACAGC TAACCTGTCGAGCATGTGCAACGAAACCTTTTCGCCTTAACCGCGACAGCCAATACGACT ACTTAAACACATGTCCAGGGGGCCGTCATATTTCACTGGCACTGGAGATTATAACGGGTC GATGGGTTTGCATCCCGCGTGTGTTTCCGGATACCCCAGAGGAAAAATGGATGGCGCCAT ATATTATTCCAGACCGAGAACAACCATCATCAGGGGATGAAGATTCTGACACCGATTAAA TTTAACTTAAATAAAACCTTACCACCCATAAAAACGCC >comp50_c0_seq1 len=606 path=[0:0-605] GCAACTTTCCCCCCCCCCCGGGGTAAAGGCCAATGTCGATGCAGTTACCCGTATAATGGC AACAGATCGTCTTGCGACCATTACTGTACTTGGGCGCATGTGTCTCCCGCCAATTTCCTT AGTGTCAATGTGGAATACGCTGCAACCGGAGGAATTCGCATACAGAACACAAGATGATGT GGACATTATAGTTGATGCGAGACTGGATTTGTCATCCACGCTTAATGCAAGATTTGATAC CGCTCCCAGCAATACCACGTTAGAGTGGAATACAGACCGTAAAGTAATTACAGATGCTTA TATTCAAACCGGGGCAACGACAGTTTTTACAGTAACGGGGGCGGCACCAACTCACGTTTC TAATGTAACAGCGTTTGACATAGCAACTACGGCTATTTTATTTGGGGCTCCTTTGGTTAT TGCCATGGAACTTACATCCGTTTTTTCACAAAATTCCGGACTTACTTTGGGGTTAAAATT ATTCGATTCCCGGCATATGGCTACAGATTCGGGTATATCCTCAGCCGTATCTCCCGATAT TGTTTCTTGGGGGTTACGTTTACTGCATATGGATCCTCACCCAACTGAAAATGCATGTTT AACTGT >comp47_c0_seq1 len=833 path=[0:0-832] GGAGTCCAAGTATAACTCACCACATACAGAGGTTCTGTGCTTATCTGCCCGGTAAGCAAC AACAGCGAGTGGGAGATTGCACATCCCTTTGTGGCAAATAATAACCGAATCGTCGGTTTG GAGGATTTATCCATAGTTCAATACGTTGGAAAGCCAGTCAATCATGCAGACGGTGTGTGC CAGCTTATGTGGATATGCTCGAATACCAACTGAAGAGCCATCTTATGAAGAGGTGCGTGT AAACACGCACCCCCAAGGAGCCGCCCTGCTCCGCCTCCAAGAGGCTTTAACCGCTGTGAA TGGATTATTGCCTGCACCTCTAACGTTAGAAGACGTAGTCGCTTCTGCAGATAATACCCG TCGTTTGGTCCGCGCCCAGGCTTTGGCGCGAACTTACGCTGCATGTTCTCGTAACATTGA ATGTTTAAAACAGCACCATTTTACTGAAGATAACCCCGGTCTTAACGCCGTGGTCCGTTC ACACATGGAAAACTCAAAACGGCTTGCTGATATGTGTTTAGCTGCAATTACCCATTTGTA TTTATCGGTTGGCGCGGTGGATGTTACTACGGATGATATTGTCGATCAAACCCTGAGAAT GACCGCTGAAAGTGAAGTGGTCATGTCTGATGTTGTTCTTTTGGAAAAAACTCTTGGGGT CGTTGCTAAACCTCAGGCATCGTTTGATGTTTCCCACAACCATGAATTATCTATAGCTAA AGGGGAAAATGTGGGTTTAAAAACATCACCTATTAAATCGGAGGCGACACAATTATCTGA AATTAAACCCCCACTTATAGAAGTATCGGATAATAACACATCTAACCTAACAA >comp36_c0_seq1 len=1385 path=[0:0-1384] GCTTGTGGTAATAACGCACCTGAGGATTGATTATGTGTTTGCTTAAAATATGTTGTCTCT CTAGCTTCTGCATGAGAAATTTCATTAAGTAGTATTACGCGTGTCGCTTGTATACTTTCA ATAAGGGGTCGTGGAGCAAAACAGCGCCGCATAATTTGTCCCAGGCCTCCCGGTGGTAAT CCTAAGGCGGGTAATAGCGTTTCATACCGTTTTTCGGTCTCGTTTACTGTCCGTGTATAT GTTAACACATACTCGGTAGTAGGAGCGTACGTTTCCACTAATTGGTATGCCAGTCCACCC ACTAAAGCGAGACATCCTAGTGTTTGTTGGAAATCTGTAATATGCTCGTCTGCTACAACG CTTCCGTGAATAAAACCGGCGAGTGTGTGGTGAGCAATAAACCGACGTAGCAATTTGCAT GAAAATCTTGTAAACCCGGATTCGGCAAGGGTGCTTATTAACATACTAGGCGATGTACTA GCCTGAACCTTTTCCCAAATGCCACGGGTGTGTTCTGCTACATTACTTCCAGATGTGGTT TCCGCTTCCGGGTCGGAGTTTAGTAAATGTAACAGCGCCTCAATATGAATTCCGGGGGTG GACAACGATAAGAGGTTGCTTTCCCATATACCATTGTCTAATCTAAGTCTCCTAGCAAGC ATTCCCGGGGATGTCTCAAAAACATAAGGGTCTCGATAAGCCAGAGCTGAAGAAATTCGT GACTCGTGCACCGTTCGTGGATTCGTTACCGCTTCTTCGATGGATACGAACGCCTCATCT TTAATTAAATTTACAGTATCTGCAAATAATTCTGATATGCTATGTACTGGCGTTTCCGTG AGATATTCATCAATCATACAGATTATAAAAAGGGCTCGTGTTAGAGGAGTGAGTGAGCTA TTTTGAATCTGATTCCACATAACATTAAACGGAAGAAGCCATCCTGCATATTGTGTTAAA ACACGAATCCCCTCTTGAACAAATGGCATATCGTAAATGATCGCAAATTTATGTTGTGTT AAAGCTGCAATGGCGCTTTCCAACATTCCAATACGAGCGTGAGTGAATGGTGATTCAATG GCTGTTGTTGCATCCTTTAAGGCGACCTCGTACATATTTATCCAGTCCGTTATAATGAAG TGTATCGAAACGGGTCCAAATTTAGACGAGGTTCGTAATTTATTGGCCGATAAACGATGT AACGTCTCGGAATCTTGTACTACACTTGATAGCTGGGTTAAAATTTTTAAGCTATTACCT GGCTCCTCTATCGTCCAGTCTAGATCTAGTCTCCAAAACAACAGTCCGGGTAAATTTTCG GCCGTGAAAGCAGCCTCCGCCAAAAATGTATTGGAATATACAAAACAGATATTAGAATGC AGGGG >comp28_c0_seq1 len=2065 path=[0:0-2064] GGATATAAACTTGCAAAATCCAATACGACCACCGGATCGATATAAAATCCCGTATCAGGG TCAAAAACCCTGGCTCCTTTATATCCTACATTTCGCCCACTTGACGTACCAGTGGGAGAA ACGCTCTCGTCTTCATCCATCTCTTCCTCAACATCCCCGACATCGGGAATAACATCCTTA TATTCAAAAGTAGCTGGGTATCCCCCATCGGGTAAAATAAATCCTCGAGACGAAGCCAGT CCTAATAAACAGGTGTAAATCCTAACCTGCTGTCCGTCGTAAATAGCCTTGGTTAAAGTA ATTCTAGCTAGCCTTGCAACCGCGGATAACTCAAGGTGTGGTAAATATTTAAAAAACAGT TTCCCCACAAGAGCCGAGTCTTGTATACAATATTCACCAATAATTCCTCGTGTATTCGGT CCACTAGCGTAGTATCCCGGAATGTCTTTGTAGGGCAAATCTCTCTTGGACTCATTTAGA GCTTCACGTGCAACCGAATCTAATTTATAACTCGAGAGTTTTAATTTTTCAGTTGCAATT GCATACATATCCAGAGATATGAGACCGTTGATCTTTACCTTGCTTCGTCGCTGAAATCCG GATTTGCCAACATCCCATATCTTAAACAGACCCCCACGGTTTATACTGCCATAACCATCA AGCTTGAGACTGTATATAGAATTAAGTTTCTCCATAATAAACGCCCAATCAAAATTAACA ATGTTATAACCTGTGGCAAACTCGGGAGCGTACTGTTTTACGAGGGTCATAAATGCAATT AATAGCTCGAATTCACTATCAAACTCCAGCACAGTCGGCTCCGGTAACCCCGCGTCCTTC ATTTCTTGTACATACCTTTGTGGTAAGTCACAAGAGCCAAGGGAAAACAGTAAAATGTGT TCTAAAGACTGTCGAGGGATTGAATATAATAGACAAGAAATTTGGATTACAAGATCCTCC AGATGTGTTGCATCGGGAAACGCCAGCTCATTAGATCCTCCTGATTTACATTCAATATCG AAACATAACAACTTGTAGTCAGGCCATGAGTCATCGTTTGGTATAGCCTGCAGATTATCC GACATGCAGTCAATTTCAACGTCGCTTAACGTTAATTGGCGACTTGCCGGTCGAACTCGA ACACGTTCCCCATCAACTCCAGGTTTTAGTTGATACCAACCAAAACTAACAAAGCCGGGA TTATCCATTAGAAAACGAGTGGTAGCGTCTACCCGACCTTCATACTTTTTCAACTCCGGG TGAAAGTTATCACAAAGATAATTTGTAAATTTAGATGAGGGAGAATACACCCTGTAAAAC GCACATGGCTGTGTATCGTAGTAATAAACATCTGTGCGCTCAATAACCTCAACGCGAAAG CTTTCTGGAGATGCGCTTTTAAACGAGGTACCATGAAAAGCGTTCTTGTCTCCATTTAAC GTTGCATCATTTTGTGTTATCATAGAACTGCGTAAACACTCGGCAAGTAATACAGATAAC TCGCTACCGGAACGTATGCCACAAGCGGTATCCACCTCGGCTTTGTTTATATAAAAATAT TGACAGATGCCGTATACATGAACTGCCACCCTTTTTCCACATCGGGACATGCCAAGTAAA GTAATAACGGTACCAAGCGGTCGTGTTGCAGTTGCAAACCGGGATACATCTCCATTAGAC GCGGCTTCTGTTGTTTCGACAATATCATATACATGGAATGTGTTAAAGCGGGGGTCAAAC TTATCCCCACGAAAGTCGATTTCCCCCCAAATATTCACGCGTCTAGGCCAGGGGCTGGAA CAACGAAAATCCAGAATCGGAACTTCTTTTCCATTACAGTAAACTTTAGGCGGTCGACTA AGTGTACCGACGTGAACCCCCTTTCGTTCTTCCATGGGCACATCTTCATCTAAACATTTA GGGGCCAAAAATTGAAACGATGACATGGTAGTTTTGTAACTATGAAGAAATTCTCTGTTA CTACCGCGCCCGGTTCTTGGGTTATATGTAATCCCTTTTTAACCCAAGCATCAGGGATTA AATATAACCCAAGAACCGGGCGCGG >comp59_c0_seq1 len=357 path=[0:0-356] GTATAACCGGGATGTTTTGTAAAATTCCACCACAAGCACCTAAAGAAGGCCTTCTAAGGG GTAAATCCACCCCACAAGCTGCATTTTCTTCAAACTTTGTTAAAGCGGAACGATGGCATG ATTTCGCACGCTTTTTCGCAAGAGAACATACGTGAATTTTCTTTTTGCATAGACGTCTTC GCTCTCTAACGGACCTTATCGGGGGGGTATATTCCGCTACATTCTCCAAATGCGACGCTA GCATAACAAGGTTTCCATGAATCACCTTTGGGGGTAACCGAGTTACCTGTAACAGGTTCA GACCCCGTTGAGATACAAACACAAGGAGGGGGGTCACCATTATTTCATCAGATCCCG >comp43_c0_seq1 len=1548 path=[0:0-1486 1487:1487-1547] CTTTTAAATCGCTGTTCTCAAATTATCGCGATGGATGCTACAGTAAACTCTCAGTTTATT GATTTAATCTCCGGATTGCGTGGAGATGAAAACATACACACAATTGTGTGTACATACGCG GGAGTTGGGTTCTCCGGAAGAACTTGCACGATCCTGCGTGATATGGGCATCGACACGCTT GTGCGAGTCATTAAACGATCTCCTGAACACGAGGATGTACGTACCATACACCAACTACGT GGAACATTTTTTGACGAACTAGCACTACGATTACAATGTGGGCATAACATCTGTATATTT TCATCAACTTTATCGTTTTCGGAGCTAGTTGCTCAGTTTTGTGCAATATTTACAGACTCT ATTCTTATTTTAAACTCAACTCGGCCCCTATGTAATGTAAACGAATGGAAACATTTTCGC GTGTTGGTGTACACTACCGTCGTGACCGTTGGATTGAGTTTTGACATGGCTCATTTTCAT AGCATGTTTGCTTACATAAAGCCAATGTCATATGGGCCGGATATGGTATCGGTCTACCAA TCATTAGGGCGTGTACGGTTATTGCTACTTAATGAAGTTTTGATGTACGTCGATGGCTCA AGGACCAGATGCGGACCCCTGTTCTCGCCAATGTTACTAAACTTTACCATCGCAAATAAA TTTCAATGGTTTCCTACACACACCCAAATAACTAACAAACTGTGCTGTGCATTTAGGCAA CGATGTGCAAATGCATTTACACGCTCGAACACCCATCTCTTCTCAAGATTTAAATACAAA CACCTTTTCGAGAGATGCTCTCTTTGGAGTTTAGCCGATAGCATTAATATCTTACAAACT CTTTTGGCCTCTAACCAAATTTTGGTTGTATTGGATGGCATGGGTCCAATAACGGACGTT TCCCCAGTTCAATTTTGTGCATTTATACACGATCTCAGACATAGCGCTAACGCCGTAGCT TCCTGTATGCGTTCTCTTAGACAGGACAATGACAGCTGCTTGACCGATTTTGGCCCTTCC GGATTTATGGCCGATAACATTACCGCGTTTATGGAAAAGTATCTTATGGAGTCAATTAAT ACCGAAGAACAAATTAAAGTATTTAAAGCCCTTGCATGTCCAATAGAACAGCCTAGACTA GTCAATACGGCAATATTGGGGGCGTGTATACGAATACCTGAAGCGTTGGAAGCATTTGAC GTATTTCAAAAAATATACACGCACTACGCTTCCGGTTGGTTTCCCGTCCTGGACAAAACC GGGGAATTTAGCATCGCGACTATAACTACCGCCCCAAATTTAACCACACATTGGGAGCTG TTTCGCCGTTGTGCCTATATTGCAAAAACACTCAAGTGGAATCCGTCCACCGAAGGCTGT GTAACACAAGTTTTGGATACGGACATTAATACACTTTTCAATCAACACGGGGATTCGCTG GCTCAACTAATATTTGAGGTTATGCGCTGTAACGTTACCGACGCTAAGATTATGGCATCC ATCTAAGAATCCGGTTGTTCGCCAAACCGGGCGGTTTAATATAATCTT >comp63_c0_seq1 len=449 path=[0:0-448] AACGTATCAAAGTATTATCCACCGAACACGTACCGAGTGCGGTGGATAATACTTTGATAC GTTACAGTAGGCTGTGTATGTCTGTCCGGTTAAGACTGGATCGCCGACAACGGTAATATT TGGACGATAATACGTTGTAACTGTAATACTGTGTTCCGATATGACGTTCTTAGTTTTTGT ATTAACGACTCGCCAAATATACGTTCCCTCCGTGGTAGCATCCATAGATAAAATTGTTAC AGAAAAATCAGACGTTGTTTTAACATCTGGTATTACATAATTTTCCTTAGCGTGTGTAAA TATCTCAGGGTTGTTTATTAAGTTTAAATCGGCACTGTTGCTATATAACATAACCGGTAA ATCTGGCATGCGTATTAACGCATTGCCCAGTTGACGGTGCGGATCTATAAGGTGACGCGT AAACCAAACTTCAATATGAAGATCGGGGC >comp33_c0_seq1 len=651 path=[0:0-650] TATTTTTATTTAAATGTGTAGTTCATAGTCCGCCGACAGCCGCTCGGGCTTTTCCCCCAC ATACAACATGATCGTATGCCTCGGATGCACCGGTCCAACACTCCGCCGAGAAGGGGGATT TACAATGACAGTGATACCCAATAGCCGCCAGATGTACACCCAGCTGTCCGGACTCCAGCA TCATCTGCTGAGTTGCGGCGCTGAAGGGTGCATCGCATAGGGTGTTATAATTAGCCATTT CCGGTAACAGTCGTTGGGAATTTAGGAGGCTGCAAAACGGCTGTAGGTCAACATACATTG GGGATTCAGATGGTTTATCTCGACGTCCAAGTCCAATCAAAAAAGCGTGTAAATCATCAG CCCGGCCGCATGTTGCTCGAAGAGCACATAACCTCTTAACACCGTACAGAGGGGATGGCG TCGGTGCATGTGAGTTGGCAGGGCATGTCCACGTTGTTTCCAACGCCAGTGGCGGTATAA CTTGTGTAAACGACGCCAACGGGTCAGGTTTAAGATTCACTCGGATGGGTTGACTGCTTT CGGAAGCTCCCGTTGTATCCATTAATTAAACGTTCGGTACACGTCTGGTGTGTGTTTTAC CCGAATCAGAGACGGAATTGCAAAGATATTGGTTTGAAAGCAATGTAATCC >comp64_c0_seq1 len=732 path=[0:0-731] ATCAAAACCAGTACGACCACTTTGGTTAGGTGTATCGTTTGCAAAGTTGGCTGCTCGTAA CGCCTCCGCGGAAACAACCGAATCCTCAAAATTAGACAATTCGTCAAAACCGGGTGGATT TGAGGGAATAGTGGAGGACCATCCATATGGACTAAATTGTTTTTCAATGTTTTCCACACG ACGAGTTAGCGTTGTAGCTAGGTCACATACGCCTATAAACTTGCTAGGTTTTGCGGCATA CGTAAGACTTAAAGTATATGTTTTAGTAATTGTATATTTATGTCCAATCTCAGGTCCAAG TTCAGTGACATCACAAATTACGTTCTTTTTTATATAGTCACGCATGTTGAGACGAGAACG TACATGATTAAAAAAATTAGCAGTAGCTCTTTTTCCCAGGTTGGATGATTTTAAGAGGAC CGGTTTATTCACAAAATCTGAGTATGTAACCGCTTGTAGGTGGTCTGCGATCTGTTTCCG ATTGAAACATTCAAAATGTGCCAGATAAATATAATCAACAAATTCACGGTCTGGAACTTT AAGGCCTTTTCTATCGTTGGTAATATACTCCGATACTGCGTGTATTTCCGTTGTGTCTGT ATGTATTCGCTGTAAAATGTACGATAGAGCATTTTTGGCTGTCAAACCTCGTGTATATGT TGAGGAACAACAAAACATGGAAAGTTTATCAAAAGACAACAAGTCCGAAATATTGTACCC ACTACAATTAGG >comp15_c0_seq1 len=1965 path=[0:0-1964] GTTTTAATGAAGGGAGTCGACTTGGTTAGAAAAAACAACTGTCAATTTATTAACGATTAT GCCCGCAAACTTGTAGAACTGTTGTTATATGACGACACCGTCTCGCGTGCTGCGGCGGAG GCGTCGTGTGTTTCCATTGCTGAATGGAATAGACGGGCCATGCCGTCTGGGATGGCCGGG TTTGGACGCATAATTGCAGATGCACATCGCCAGATTACATCACCCAAATTGGATATTAAT AAGTTTGTTATGACGGCCGAGCTTAGTCGTCCACCATCCGCCTACATAAACCGTCGCTTG GCTCACTTAACAGTATATTATAAATTAGTAATGAGACAGGGTCAAATCCCAAACGTTCGA GAACGCATCCCTTATGTTATTGTGGCCCCCACAGACGAAGTGGAGGCTGATGCAAAAAGT GTAGCTTTGCTACGTGGAGATCCTTTACAGAATACCGCAGGTAAACGGTGTGGGGAAGCA AAGCGTAAGTTAATAATATCTGACTTAGCGGAAGATCCCATTCACGTAACATCACACGGG CTGTCTTTAAACATTGACTATTATTTTTCTCATCTCATTGGGACGGCGAGTGTAACTTTT AAGGCGTTATTTGGAAACGACACTAAACTCACAGAACGGCTTTTAAAACGTTTTATTCCA GAGACACGAGTTGTTAACGTTAAAATGCTAAACCGCTTGCAGGCGGCAGGCTTTGTTTGT ATACACGCCCCGTGCTGGGATAATAAAATGAACACTGAAGCTGAAATCACCGAGGAGGAA CAAAGTCATCAAATAATGCGTAGAGTCTTTTGTATTCCAAAAGCAATTCTCCATCAAAGT TAAGGTCACACATTTTACAGTAAACGTCCGATGTTCCAATGGATGGCACCACAGTCTCTG TTTGTTGTTCTGGGTTGCGACATACCGACAGTAAAAATGTTGTCTGCCAAACGTGTGCGA CTATTTTATACCCCCGACACGCGGCCTGTATATGATCGATTAGTCTGTAATGGAGGTGAA CAGATTTCCCCGGAAATATAACATACATCATAAACCCTCCGGCATCTCCATCACGATAAA AAAGTACGCGTATATCTCGCATGCCCCCCTCCCTCATAATATGATACATAAAAAATAATT CCGGTTGTGCCAATACGCTCGACAATAGGGGTTCAGCGGACGCTGCTTGCATGTTGGCTC GGTCTGATAGCGCCAAAATGGATGCAAGAAACACACGATATTCGTATATGTTGTTAAGCT GCTGAACATATGCTAGTATCAGAGCCGCCCGATCGGTTCGACATAGACGCGGTTCTCCAG ATGCAGTGCATGTCGGACAATAACCTCCGAGACCTAAATGATAACCCATTCCGGATAACG ACAGGCAGTTATCCGCCACTGTCTGACCCAAGTTAAACGGAAGGGTGACAGGGGTCGTCT TAATAATTGGCACGATTAAGCCTCTAACGGTAGCTAGTTCTTCTGGGGGGGACCTTGCGA TGTAATTAAAATAATGGCGGTACACAGACCGCTCCTTTGACATAAGTTTTCCTCGAATGG TTTGACGGCGGCATGGCGTTCTGGAGCGTACACGCATCGAAGGCCCGCTCCGAGATACGG ATTTATATCGCCTAGACATACTTCGATAGGGTGTGTTCGAGGGAGACCAGCGATATTGCA TGTCGTCGAAGCATAAGTCCTCCATCTCGTATGAATGCGGCATTGGCGGTTGGTTTGCGT GGAAAAATCTGGTAGGCTTTAAATGCATACGCCAATGTCCACAGGCCAGCACATACACGA CCTTCAAATCTGTTTTGTGCAGCCAGTTGGGCTTTATATAACTCCAACACTTCCTTATCC GCGGTTGTAGGATGGGCAAATAAAATTTTAGGGTTTGTCTGTAATTCCGAGGCCGTATAT AAACATTTATTTTGCGATCTCCTATGCGCTCTCTCGGAATTACAG >comp8_c0_seq1 len=1378 path=[0:0-806 807:807-1377] TAATCAAACTCACATCCGATAGCGTCATGGCATCACATAAATGGTTACTGCAGATAGTTT TTTTAAAAACTATCACAATCGCGTATTGTCTTCATCTCCAAGACGACACTCCGTTGTTTT TTGGAGCCAAACCGCTATCGGATGTGAGTTTGATTATAACGGAACCGTGCGTGTCATCGG TATATGAGGCGTGGGACTATGCGGCACCCCCTGTATCAAACCTCAGCGAGGCGCTATCGG GAATCGTGGTTAAGACAAAATGTCCAGTACCGGAAGTTATACTTTGGTTTAAAGACAAAC AAATGGCGTACTGGACAAATCCATACGTCACCTTAAAGGGGCTGGCACAATCTGTTGGTG AAGAACATAAAAGCGGGGACATACGCGATGCTTTGTTGGATGCCCTTTCCGGTGTATGGG TAGACTCTACTCCATCTTCCACAAATATCCCGGAAAATGGATGTGTCTGGGGAGCCGACC GTTTGTTCCAACGCGTATGCCAATGAAATGAAACTATCGGATTCAAAGGACATTTATGTT TTGGCCCATCCGGTTACCAAAAAAACCCGCAAGCGACCCCGCGGGCTGCCTTTGGGGGTT AAGCTAGACCCCCCAACCTTCAAGTTAAATAACATGTCACATCATTACGACACGGAAACG TTCACCCCCGTCTCTTCGCAACTGGATTCGGTTGAAGTTTTCAGCAAGTTTAACATTTCC CCTGAGTGGTATGACCTGTTGTCGGACGAACTTAAAGAGCCGTACGCGAAAGGTATTTTT TTAGAATACAATCGTCTTTTAAATTCAGGGGAAGAAATACTTCCATCTACAGGCGATATT TTTGCATGGACGCGATTTTGCGGACCCCAGAGCATTCGCGTTGTAATTATTGGTCAAGAT CCATACCCTACCGCGGGACATGCACATGGGCTAGCGTTTAGTGTAAAACGTGGCATAACA CCACCGTCTAGTCTTAAAAATATTTTTGCGGCCCTCATGGAATCATACCCAAATATGACT CCGCCCACTCACGGATGCCTGGAGAGTTGGGCAAGGCAGGGGGTGTTATTGCTGAATACC ACGCTTACGGTTCGTCGCGGGACTCCGGGGTCGCATGTATACTTAGGCTGGGGGCGGCTG GTGCAACGCGTGCTACAGAGGTTATGCGAGAACCGTACAGGGTTAGTTTTTATGCTGTGG GGTGCGCATGCACAGAAGACAACCCAACCGAATTCAAGATGTCATCTGGTGCTAACACAC GCGCATCCGTCGCCATTGTCCCGTGTTCCATTTCGGAATTGTCGACATTTCGTTCAAGCC AATGAGTATTTTACGCGTAAAGGCGAACCCGAGATCGATTGGAGTGTTATATAACACT >comp58_c0_seq1 len=409 path=[0:0-408] ACTCTGGTGCGTCCCAGTTTAAACGCCACCGCCGAGGAAAATCCCGCGTCAGAAACGCGA TGTTTATTACGAGTGCTTGCGGGGAGAACTGTAGACCTGCCAGGCGGAGGAACGTTACAC ATTACCTGTACCAAAACCTATGTAATTATTGGCAAATATAGCAAACCCGGCGAACGTCTT AGCCTTGCCCGTCTAATAGGGCGTGCAATGACGCCTGGAGGTGCAAGGACATTTATTATT TTGGCGATGAAGGAAAAGCGATCCACAACGCTTGGGTATGAATGTGGTACGGGCTTGCAT TTACTGGCTCCATCTATGGGTACATTTCTCCGCACACACGGTTTAAGTAACAGAGATCTC TGTTTATGGCGGGGTAATATTTATGATATGCATATGCAACGTCTTATGT >comp19_c0_seq1 len=1855 path=[0:0-1039 1040:1040-1854] GAAGATCGGTACTGTAACTTATTTTACGTTAGACCCGGAAATAAGTTACAGTACCGATCT TCGCATTGCAAAGGTTATGGAGCCTGCGGTATCAAAGGAACTTAATGTATCAAAACGTTG CGTTGAACCTGTTACCCTAACAGGCTCTATGTTAGCGCATAATGGGTTTGATGAGTCCTG GTTTGCTATGCGCGAATGTACCCGTCGCGAATATATTACGGTCCAAGGATTATACGACCC AATTCATTTACGGTATCAGTTTGATACTTCCCGGATGACACCCCCACAGATTTTGAGAAC TATACCAGCCCTTCCTAACATGACACTTGGTGAACTTTTATTGATTTTTCCTATTGAATT TATGGCCCAGCCAATTTCTATAGAACGTATTTTAGTTGAAGATGTATTTTTAGATAGGCG GGCTTCCAGTAAAACACATAAATACGGCCCGCGTTGGAATTCCGTCTACGCACTTCCATA TAATGCGGGTAAAATGTATGTACAACACATTCCTGGGTTTTATGACGTGTCCTTACGTGC TGTGGGCCAAGGAACGGCCATTTGGCATCACATGATATTATCCACAGCAGCATGCGCTAT TTCTAATCGCATTTCACATGGAGATGGATTAGGATTTTTGTTAGACGCGGCAATTCGTAT TAGCGCAAACTGTATTTTTTTGGGACGTAACGATAATTTTGGCGTGGGGGATCCATGTTG GTTAGAAGACCATCTTGCCGGATTACCACGAGAAGCCGTACCCGACGTACTCCAAGTGAC ACAGTTGGTTTTGCCAAATCGGGGTCCAACGGTTGCCATTATGCGTGGTTTTTTTGGGGC GTTGGCATATTGGCCCGAACTAAGAATTGCTATAAGTGAACCATCTACATCTTTGGTGCG ATATGCTACCGGTCACATGGAACTTGCCGAATGGTTTTTATTTTCACGTACACATAGTTT AAAGCCACAATTTACCCCAACGGAACGGGAAATGTTAGCGTCATTTTTTACGTTGTATGT TACTCTTGGTGGAGGAATGTTGAACTGGATCTGTAGAGCAACTGCAATGTATTTAGCTGC TCCTTACCATTCCCGTTCGGCTTACATCGCGGTCTGTGAATCTCTGCCCTATTACTATAT CCCGGTTAATAGTGACCTGTTATGTGATTTAGAGGTATTACTGTTAGGCGAGGTCGACCT CCCAACTGTTTGTGAATCCTACGCAACTATTGCACACGAATTAACCGGATATGAGGCTGT TCGCACAGCAGCCACAAATTTTATGATAGAGTTTGCCGATTGTTATAAGGAAAGTGAGAC CGATTTAATGGTAAGCGCGTACCTGGGGGCCGTTTTATTGTTACAACGGGTGTTGGGTCA TGCAAATCTTCTTTTGTTGCTTCTCTCCGGTGCTGCGTTGTACGGAGGATGTTCAATTTA CATCCCCCGAGGTATTTTAGATGCATATAATACTTTAATGTTGGCAGCAAGTCCTCTTTA CGCTCACCAAACTTTAACATCCTTTTGGAAAGACCGCGATGATGCAATGCAAACTTTGGG GATTCGACCGACAACGGACGTTTTACCCAAAGAGCAAGACAGGATAGTTCAGGCATCACC TATAGAGATGAACTTCCGTTTTGTGGGATTGGAGACCATCTATCCCCGAGAACAGCCCAT TCCCTCCGTGGACCTAGCCGAAAATCTTATGCAATACAGGAATGAAATTCTGGGTTTGGA TTGGAAAAGCGTAGCCATGCATTTACTACGAAAATATTAAGGGTTGTGATTTTTTTCATT AGGATGAAAAGAACGTTTCCTAGCCACACCCACAAAGGAGTTTGTAAAATAAAAT >comp4_c0_seq1 len=4784 path=[0:0-4783] AACATACACCGGATAAAAGCGTACTGTTTTTTATTTAAATTTACACGCTCGACGTTGCCC CGGTTCGGTGATCACCGGGTCTTATCTATATACACCGTGTAACTCGAACCCCCGTGACTC CCTCCAATCGCGTTACCAAACTCTTCTTCCGTATCCGTAGATTCCGAGTCCTCGAAATCG TCCACTGGAAGGCCAGCGTAATACATGCTTTGGTTATACGGGGACTTGTCTACCCTATAG GCTTTAACCCTCATTCGTTTAGCCGTACAGATTAAAAATATTACGAGACATAAAAGTACT ACTGCTGCAAGCCCTCCGGTCCATGCGGCATATCGTAGAAGTGGTGACGTTCCGGGGTTT ACGGGGGTAATTTCCTTGGGTTTAGTAGTCGCCGGTGGCTGACCGGCCGTTGGCGGAAAT CCACGCTCTTCAATTGCGTTTACAAAATGATCTACTGTGGATACAACAGTGTATGCTACG GCTTCAACATGCCCGTTAAAATACACCACAAAAACGTATAATCCCGACAAACTCTCGGGT GTATCTACAAACTTTAACGTGGTGCCCCCGTCGTGTAAGATTAGACCAAAGCTAGGCTCC ATATGAGATATTCCCAGACAATATGCGGTGTAGTTATCTGCATGTTCACAATTTTGATAC ACTGTGCTTGCAACACGCTGGGCTAAATGTGGCGAGGTAAATGTACAACCGGAATTCATA TGAGAGAGGCATTGGGGTGCGTTGGGATGATACAAACACGTAGAATATAACCGCATTGGT TGACATGTAGGATCGATGGGGACATACAACCACTCTAACAGCAAATCAAATGGCGCTTCA TGTATCTTATACTGAAGATGCATTGCCAAGCTAAACGTATCCCCAACTGAAAATACATGC GAGTGGTAATTCCACATATGAAACTCAGCCCCTCTTGGTTGAGGAGTTACTGCGGGCGTA GGGTTTCTTGTTTTTTCATCCCCTTTCCAGGTGACCAAAAACGTGGCGTAGGTAGACGTA CCATCGGAGCCGCGCATGTTCCAAATGTACACACCCAAGTATTGTTTTTCTGTCCGAAGT ACTTTCAAGACACCCGGTTCAATCTCGGGGGGGTCTAATTCGAGTTCATCAAACAGTGTG CTCGTGTTTACAACAATCCACGGTTGGTCCGCTTCCTTCTTACCTTGAAAACGGTAACTG ATTTCGGCCAACTGATCCTCTTTAGTATTTTCCGCGCAATCCACATCCACCACCACGTCT TGAAAGCATGTTGTATGTTTTAAGCATATATGCTGGATGGCGGGCGCTGCGTCTCCCGTA CAGGTTAATGACGGCAAAAAGCTCCAAGTCTCGGTGTACCGGACTCCATAAATCCGCTGA ATCGGTGCGCGTAAAGTAAACGGGTGATTTTCTTCCACTGACACCTCAATGAGTCTTTGG CCTTGGGGTTTTGGATTAAGATCTCCTTTAAACACGTCACCGTATTGACGTTGGTCCACA TTTACAATTTTATGTCTGTCATCGCCGTTTAACGTAGGGATAACGTGGATGCCCGTATCG TCCCCAAGATCCTCCTGTGCAGACATTTGTGTGGGTTGCATTAACCGTTCCCCGCTATCG ATACCACGGCCCTGATTATACACCCCATGGTGTTCGTGTGCGTTCTCTAAAAATCCATCA TAATCATTACGTGGCCATATATAAGGTGAGTTATGATCGTACGCTTTTCGCGAAGACTCT CCCCGATTTACCCATGAAGACTCCGCATGATCTGAATGGTAGTAAGGCTCATATACGGAG TTTGTATCCAGTTTGTCTTCATCGATGTGAAAATCATCGTATCGCAAGACGGATGCTCTG ACCGGATTCGTTATACGCAACGTTCCCGTGATAATTCCGAACCCCATCAATACCCCCACC ACAGGTTTATTAACTGTCCCCATATTACAGGCGACCCTCGGAATATAGTCACTTAAAACC ACGCAATTCGCCCGAGGTCTAAAACCATGGACTGCTCTCGTGTATACCAGCTCGGCCTTT AAGGCTTCATAAAACATCCCCGCCCAAATGTGGGCGTGTTAACTTATAGTTAGGAGATTC TTAATCCTTCCCCTCATATCACAACGCGTAATCAAAACGCTAAATAAAACGCATATAGTT TATTTAATATAAAATCCGGGATAATTAGTTCTATTTAACAAACGGGTTTACAACGGAATG TGGGGGGGATTCTTCGCGAATCGTTGCTAGTTGTGCAATGGCGGCCTCCAACATCACATC GGATTCTGGTGTCGCATTTTGTATGCCCCTTCTTGTTTTTGTATTTGGGCGATAAATTGG ATGTTTTTTAATTCTACGTCGCTTAACGCTTATTACAATAACAATAACCATGGCGGTGAG GATCATGACAGACGCTACTATAGGAATAATTATAAGTAGATTTTCTGGAGGATCATTAAG GGACTTTTCGGGTAACGTGGACATATCCGTTGGATATACGTGATTTTCTATCCCCTCCTT AACAACGGACTTAGTTTCTGTCGTAACAACGTCCTCATGTAACCAAGGGTTATCCTCTAA CGATTTACCGGCACGAAGATCAAGCATATGTTGAAACAGGGAGGTACCGGACCCTTTGGG TGTCGCGGGTAAATCACACAAACGAGCTTGTTGAAAAAGGGCTCTTGTAGAATATCCATT CTGTAGAGACGGAGAAGTGTAGATAACCCCGTGAATGTTGTGATGCGAGCCCGCTGTATA TACATTTACACCAAGAATAAAACCATCGGTGGATCTGCTATGGTCTAACCGAACAAGAAG TACATACACACCAGCATCATTTATTCCCGGTTTGGTAATTTTCAACATTACACCAGCATC CGGCTCTGTTGATATCCGATCCGTTGAGTTACCATAATGCCACGAATGTTTGTACCTACA CGAAATAAAAGCGCTCGTTCTAATCCGGGGACATCCGTCGTATCTTATTACTTGTACTGA CCGGAAACAAAACGCCACCGTATCCGCGTATAACAGTTCCAGTGTTCCGCTATAGTTTGT CCCGGTAGGTAGTTGCTCTCCAATAAAGACAAGCTGTCCTTTTATCTCTGTATAATTATC ATTTTGCATGGGAATAAGGATAGACGTGAGACTGCTGTTAACTTGCAAGCTCACGTGGTC GCCCTTGAAGATCAAAGCGTTGGTCACTTGTATGTAAAATATAACGGCCGATATCAAACA TTGGATTAAAAACATCGCGATTAAATGAGGCGCACCAGTATACCCAACTACACCGAAGAG CAGCTCTGTGAGCCGGGGGAGGGGACGCTTTTCAGCGCTACTACAATGTTAAGAAAATGA TCCCGTGTTTTATCCTTGTTGTAATGGGGCGTGACTCTGTATTAAGTTTCTATTGGTTAT GTTATTTATATTAGTATTTCAAAACATTGCGCGTTTGTACCCTATTTGCCTTAACGGGTT ATACGTTATAAACACAATTTATACAATATTTTATTAACAGGCTTAATGAATTTTAATCTC CAACTTCCATTGGATTTGGATATGGATCGGGAAGAGTTTGGAAAACAGAGTGGTTAAGCA ACACCTCTGCCGATGGTCGATGACGTGCGTCAAACGATAACATCTTACATATCAAATACT CCAAATCAATTGGCAACTCATATAGATTTGTCCACAATGGCCTGGATCCGGGTTTTCGAG AAGACCGTTTTGCCAAACCAATGTATTGTCGACGAAGATTTGATGTAGGGTTAATGGGAA ATTCATTGGGATGAGTTCCAGATCGTCGTATAATAAGTTTAATTTGACGCTCACTGTCAC AATTGCCATCTAAACCGTCTCGTTCAAATAACGAGTTCTGTCCTGTAGCCATTTCAAATA ATACAATCCCGGCACTCCATATGTCCACGGCAGGTCCATATGGATCTCTAGCCAATAACT CAGGAGAGTTTGTGGCGATTGTTCCAGCCCAGCCATAATACCTGTTGGCATTAATATCCA CGGGGAAACACGCTGCTCCAAAGTCTCCCACACAAACATCACCTGGGTGGTTAATAAATA TATTTTCAGATTTTATATCACGGTGAATAATACTGTTATTATGAAGATACTGTAACGCGC GTAATACAGATCGCTGAATTGCTAAAATGTCACATATGGGGAGGTTGCGCTTTGCAGCTA GATAGCAGTATAAATCTGTTCGGTAACGTGGTAATATAAGACATGTCATTTTGTTATACG TAAACGTTCCTTTAAGCTGTATAACGGATGGGTGGGTTAACGCTCTTAACACGGTTGCCT CGGTGGCCGTTCCTTGACGTTGACCCGCTTTAATGACCACATGTTCACATGTTTTACTGT CCATACACGCAAACGCAAAACCTTCCGCCCCTGGTGTAAACGTTTTTAATATTACAAATC CCGCTTTATTAATTCCAACGCGTGCTTCTGCACACAATGCCACAGAGGCTTCGGCTTCAG TTTCGTGGACACCATCAAATATATTAAAAGACTGTATATCCATGTTAACGTCATAATTGG GATCATCCTCAGATTCTATGCCGGGCGACATTTCAACTGGAAACATCTGTTGTATAAACC CACATGTTTGCATAATATGTGACGGTGATGTTGAGATGGCGCCACGGAACTTTCCTTGTC CAACAAAGGTGTCTGTTGCATCAACGTCGTTCATTATACTTGTATACCCCGACTTATGTT GATAGTGTTAATGAACCAAAAACACTATCAACATAAGTCGGGGT >comp69_c0_seq1 len=415 path=[0:0-414] ATCCATATGGATTAAATTGTTTTTCTCTGCTGCCACTGGGATAGCCACACATGATGTATC CATCCTGAGTTATAAAACTCCATTAGAAGCCCTCATCGGCCATTCTGAGGTAACTGGACC AATGCCTGTATATCGGGTAGCCTTGCCTCAAGGTGCCCAAGCATTTGCTGTTATTGCTAA TGATACGTGGTCATCAATAACAAACCGTTACACTTTACCGCACGAGGCTCGATTAATTGC GGAGGACCTTAAACAAATTAATCCATGTAATTTTGTTGCCGCTTCACTACGAGATATGCA GTTGACTTTACTATTATCTACGTCTGTTAAAAACGTTTCTAAAATTTCATCTAACATACC CAAAGATCAGCTTTATATAAACAGGAATGAGCTATTTAATACAAATCTTATAATC >comp44_c0_seq1 len=1624 path=[0:0-1623] ATACGCACACTTAGTGGATGGGAGTCAATAATATTGCGAGCTTGGTACATCCAGTCAACC GCCTGAATGTCCAACGTACCAGTTTCTTCTTCCAGACGCCCTAACAGCAATGCAAACTGC GTGACAATGTCCTGAACGGAAGTAGATCTATCAATGGCCAATGCAATTGTTTTGGGAGGG GGGGTTAGTTTTAATAACGTCTTCAGGTTAGTGAAATCCACGTCTTCTTGTTGCTCAGTG GCATTGGCAGTATCAACAATGTTTTGTAAAATTTGTATTGCACGGTTCTTTGTTGCCTGA CACACCATACGAAACTGTGCAAGCTCTGCGTTGGCCTCCTTTAGATCGCGGTCTACCATT GTTTGTAAAACTCTTTCATATGCCGTTCCTATAAATCGTTTATGATCGAAAGTTGTAAAA TACTCTATAGCCCGAATCAATAAACCTTCGCTTGGTAATGTAATGAAGACACCTTCTTTA AGTGCAAGTTTAGCCGTTTCGTGTGCCCGAACATGAGTTACTTCCTCCAAAGCCTTATTT GCTTCTGTAAGTTTAGCCCCGGCAGCCTGTCTGATGTCTGCTCTAAGTTCACTTAACGTT ACACTTTCGGTTATAAACTGATCATAAGACCGTGTGTAAAAATCAACATACCCAGCCAAT GCGGGTATTTGTAATAGATCCCCCGAGGTTCGTAATATCATATCTCTGTAGTTAGGTATT CCATTAATAGACGTATCGGCGGATAATAACACAACCGCGCGAATACGCATAAGCAGAAGG AGTCCCTCAATACTAACACCTGGAAACATAACGGTGAATACGGGAGCCGTAATCGAAAAA TCATCAAACCATGTTAACCCTCTTAACAAAGCCAAAGGTGGGGGAATATTTGTATTTTCG GGGGTATATGGATTGTGGCGAAACACAGTATCTAATGCCGTAACGGCTGTAGTTTCACAT GCCGCTACAACCTGACGTGCTTGTGGGTAAACTGCGTGTATATCAAACCCTCCCGCAGCG GCCATATCTCGCAACCGTGCCAGTTCTGTCCCGTTAAATATATGGCGCGTTTCCATTGCC TCCAGACATGCTATAATATCACGTGTCCAACGCTCATACAAAACCCGAGTCGTTTGTTGT TTATGTGCACGTTCACAATCGGTAATTAACACTTTTGCCTGTTCCTTCTTCTCATGTGCC ATTGTGACGAGTTTATGAAGATCCTTTACTACTCGAGATAAGGTAGATGTCCCAGCAATA CAATGGGGGGGTAGCTTTTGCAGTTCAACTTCAACAAGTTTAACCGTATCCATTAGGGCG TGCACATTTGTTTGTATTGATAATATCGCATCGTTTATTTCATAATCATCTACATTTGAA GATGATATAAACTTCAAGTGTCCAGATGAGACAGCTAGGGTGGAGAAGTCATCTCCAAGT CGTTTTTGTAATTCAGTCAACTTATGGGTATTCGTAATTTCTTGTTGTAAAGCCTGATAT TTTTTATATAACGACAACACAAAGGATAAGGCTGGCACTGTAGATGAAACTAACGTCGCT TTACTAAGAGTTGCAACAACAGCGTTTATGGCGGACTCACTTTCCGGGTTAGTAGATACG GTCG >comp62_c0_seq1 len=515 path=[0:0-514] TTCCGGGTTAGTAGATACGGTCGCGATGTCGGATGCAAGCACATCTGCCACGTCACCAAA AAACGCAAGCAATGATGGTCTATACTCCGTAGGTATCGGCACAATTTCGATAATAGCTGT AAAACAAGCTCCCAGTCCTCCTAAGACAGATGTGCGTGCGTTTCCGGGATGTTCTAAAAT GTCTCGATATTGGTTAAATAACGCCCAGAAATCACCCGTAAGTTGAGAACGGATCTCTAC CGGCGCCTCTAAGACTTTGGTCCTGAGATTTACCAGGGCTCCTTGGACATCTAACTCAGA AGCAAGTTCCGGTAATAAATCTACTGCAGCCCTAAGTCCCACAAAACCGGTTACCGGGCG AAGTAACCCCCCGAGTTTATTATATGCCGCCTGTTTTCGACTCTTTATTGTGTCCTGTGT GGTTCGGGCCTCGTTTGCATACGTCTGAACCTCTTTAAGCCTTGTTTCCAATCGTCTTTT AATCGAAGGTTGTAAACCGGATTGGATCATTGGAT >comp23_c0_seq1 len=770 path=[0:0-769] GAACGGCACCACCCAACAGTCTTACGATTGCCTAGACTGCGCTTATGATGGAATCCACAG ACTTCAGCTGGCTTTTCTAAGAATTCGCAAATGCTGTGTACCGGCTTTTTTAATTCTTTT TGGTATTCTCACCCTTACTGCTGTCGTGGTCGCCATTGTTGCCGTTTTTCCCGAGGAACC TCCCAACTCAACTACATGAAACTACTGTCCGGAAGGGGAAGGTATTTATTCTCGCTTGCA GCTTGTCGCGCGTGTATGCACAACAAAAGCTATATATGTCACCAAAGCCAACGTCGCCAT CTGGAGTACTACACCCAGTACGTTGCATAACCTGTCCATTTGCATTTTCAGTTGCGCGGA CGCCTTTCTCCGGGATCGTGGCCTTGGGACATCAACCAGTGGAATAAGAACCGCCGGTGG TCTTGCCCGAACGACGAGTGGCGACGCGTTGTTCTGCATAAGCTCTGTATGCTGATACAT AAACACAGAGTCTGTATCGCTATCAGATTCCCGAACACCTTCCGGTACCCCATACTCCGA TACCCTGGACATTGCGGATCCCAAAAATATAATATTAACAGGATTTGCTTATACTTTGCT ACAGCTTATATAAATTTATGTGCGATACATCTTAAGTGCATCCGTACGTTATTTATACAT TGCCGGTCACGTGAAAAGACTGTGTTACCCAATAAAGGTTCTACAAAAAATGCTTTATTG GGTGTTTGTTTAATAGCTATTATCGTAACCCACCCCCGTAAAATCATAAA >comp7_c0_seq1 len=2194 path=[0:0-289 290:290-2193] GGGCGGGGATGCCAGACTTTTCATACATAACATGGCGTAGTCCGCAACCCATTCCGGTGT CAGTCCAAATTTACGTTTATACAAATCAAGCGTTCTACAGACCAAACAGGCTCTGTCTAA CGCCAAAACGTCTCCAATTTCTTCTATAAATTCAGTGGTACTTGAGGTCATTTCATTATC CACACCTACCGCCGAAGAGGCCTCATAAGTGACGTTGTTTTCTATTGCACGGGGAACATT TATTAAGTGGGAGGCAAATAACAATTCTGAAAATAACAAATCGTTTTTTAGCAGAAGGGC TGGATTATAAGCGATGTACGAATCGGAAAATGCGTCGGAACACCATCCGGAATTAGAAGA TGTATTTTCGGAGAATACGGGCGATTCGAATCCATCCATGGGTTCTTCTGATTCTACCCG ATCCATCTCTGGGATGAGGGCCCGCGATTTAATTACAGACACCGATGTTAATCTATTAAA TATCGATGCACTGGAGTCAAAGTATTTTCCTGCTGATAGCACCTTTACTCTTTCCGTTTG GTTTGAAAATTTAATTCCCCCGGAAATAGAAGCAATTCTACCTACAACTGACGCTCAATT AAATTATATATCATTTACCAGTCGCCTGGCGTCCGTTTTAAAACATAAAGAAAGTAACGA TTCAGAAAAATCTGCTTATGTTGTTCCATGTGAACATAGTGCCAGCGTGACCCGTCGCCG TGAACGCTTTGCGGGAGTCATGGCCAAATTTCTAGATTTGCATGAAATATTGAAGGATGC TTAATACATGGGGAAAATAAACGCATTAATAAGTCGTCAGGGGGTGGATCACTCCAAACT CCTCCTATATCCCACGATAAATGGTCTAAATACTTCACGCGTGTGCCTTGGTTTGCAACC TTAGATCAATATGTCACGGAGAACGTATGTACGGAGTGAACGCAGGAGGGGTTGCGGAGA TAATCTTTTACAACGTATTCGGTTGGTGGTACCAAGCGCTCTTCAATGTTGCGATGGGGA TCTTCCAATATTTGATCCACAACGCCCCCCCGCCCGTTGTGTTTTTCAGTTTAACGGCGA AGACAACGTATCCGAAGCCTTTCCGGTAGAGTATATTATGCGTTTAATGGCGAATTGGGC GCAAGTAGATTGTGACCCTTACATAAAAATTCAAAATACGGGGGTGTCTGTGCTATTTCA AGGTTTTTTTTTTCGTCCGACTAACGCACCAGTGGCTGAAGTGTCCATTGACAGTAATAA CGTGATTCTTAGTTCAACGTTAAGTACCGGTATCAACCTATCTGCTTTGGAATCAATTAA ACGAGGTGGGGGTATTGACCGCCGACCTCTCCAGGCTTTAATGTGGGTGAACTGCTTTGT GCGAATGCCATATGTTCAGTTATCCTTTCGTTTTATGGGACCGGAAGATCCATCTCGCAC CATTAAACTTATGGCCCGCGCCACGGATGCATACATGTATAAGGAAACTGGCAATAATTT GGATGAATATATACGCTGGCGGCCTTCATTCAGATCCCCACCCGAGAACGGAAGTCCAAA CACGTCTGTTCAAATGCAAAGTGACATTAAACCTGCGTTACCCGATACCCAAACTACGCG TGTCTGGAAACTTGCTCTACCCGTAGCTAACGTGACATATGCCCTGTTCGTTGTAATTGT ACTGGTAGTTGTATTAGGGGCGGTGCTTTTCTGGAAATAAATTGCCTTTCCGTACATATC CTGCGCAGATGTACGTGTATGCTGTTATCGATTGTCCCGTAAACTAATAAACGATGACAC AACCCGCATCGTCTCGTGTAGTCTTTGATCCCAGCAACCCCACCACATTTTCGGTGGAAG CAATTGCGGCTTACACCCCCGTTGCTTTAATACGACTTTTAAACGCCAGTGGACCTTTGC AACCTGGTCACCGTGTGGACATCGCTGATGCCAGAAGCATTTACACCGTGGGAGCCGCGG CCAGTGCCGCGCGTGCACGCGCTAACCATAATGCAAATACGATACGCCGAACGGCCATGT TTGCCGAGACTGACCCTATGACATGGTTAAGACCAACGGTTGGCTTAAAACGTACGTTTA ACCCGCGTATTATACGACCACAACCCCCAAATCCATCCATGAGTTTGGGAATCTCGGGGC CTACTATATTGCCGCAAAAAACACAGAGCGCCGA >comp65_c0_seq1 len=396 path=[0:0-395] GTAATATAGTGTGTCTCCAACCATTCAGCTTACAGTCCAGTGGACAGTAACAGCCCGATA ACATGGAATTGGATATTAATCGAACATTGTTGGTTCTACTGGGTCAAGTTTATACGTACA TCTTTCAGGTTGAACTGCTACGTCGCTGTGATCCAAGGGTGGCGTGTCGCTTTTTATATC GGTTAGCGGCTAACTGTTTGACAGTTCGTTATTTATTAAAGCTGTTTCTCCGGGGATTTA ATACCCAGCTAAAATTTGGAAACACTCCCACGGTTTGTGCACTGCATTGGGCATTATGTT ATGTAAAGGGAGAAGGTGAGCGTTTGTTTGAGTTGCTACAACATTTTAAAACGCGTTTTG TTTATGGTGAGACCAAAGACTCAAACTGTATCAAAG >comp57_c0_seq1 len=437 path=[0:0-436] TCTGTCATGTGCTCTAAAGTCCCATATATAAAAGAAGCCCCAACGAGTGTATGCGTATTG CGTACCGCGACCCTGGGATGTTTTACAGGCGCGTTTGTTTGTCTCGGTTATAAGTATGCA GTCGGGTCATTATAACCGGAGGCAATCCCGCCGACAGCGGATATCGTCTAATACCACAGA CTCCCCCCGTCACACACACGGAACACGTTATCGGTCAACCAATTGGTATACACACCCACC CCAGATATTGTCCAATTCAGAAACATTAGTTGCGGTTCAAGAACTACTGAACTCCGAGAT GGATCAGGACAGCAGTTCTGACGCATCGGATGATTTTCCGGGATACGCCTTACATCATTC TACATATAATGGATCCGAACAAAATACATCAACTTCCAGACATGAAAATCGCATATTTAA ATTAACGGAGAGGGAAG >comp16_c0_seq1 len=1479 path=[0:0-1478] CATTCGTTCCATGTATTTGTACCCCCCCACACAACCCCCTCTAACCAAATAGTTGGCACG TTATAACCTCCGAACCGTTCCATGCGTCTTGTATAACGCACAGACTCTGATGGAATTGTT CCAATTAACGTATATGCCGCATACATGCAGGATAATTGTGTGGGAAGTCCCCGAAAATCG CCGGTCCATTGATACAATCGCTGTCTAGCCAAGTTCCAATTTACTCCTGTAATTTCGCCA ATACTACATCGAGGGCTTGTCGGGTCATTGGATAACTGCACAAGCGGCAACGCCCTTGTG TTATATGGCTGGTGGGTATTTGCAACCCCTTCAGTCCCCCAGGCGGCATTTTCAGCTCGT ATGCGTCCTAACAGGAAGCCAATACCACGACCAAAACATTGTTCGTTTAGTTGGCTTAAT GCAAGATGCAGTCTTACACCTTCTCGTTGGCGTCGCTGTGTATATACAAAAACCAAGAAC ACATGCTTCAGTCCGTCCGCGGAAAGATGTAAGTCTTTGTCAACGTCCCAAAATACGCAG GCCGGGATGTTGGCTGTGACCCTGCGAGTTGAAGTTTTGTCTGTACGTGCAGCTTCTTGG GGACCTTTGGCCACGGCGGTTATATTGCATAAATTATCCTGAATGGTATATTCCAGCAGG GACCCAAAAAAACTTATAAATCGATGTGGAAATACATGACATTGTACCATCGCACGTAAA CACTCCGAAAACCTTATGAGCCGCGTTTCCATACGACTGCATCCATAGGCAGAAACAATT GCTGTTCTGTTGGCATCTGCTGCCTGTTTATCCGTATATTCTTCTGCCCGGCATGCGGCG ATGAAACTTAATGACGTTACATATGCTCTAAGCCCCCCACCTTCTCCAACGGTCCAAGGA GCCGTGCAGGCATTGAATAGGTTTCGTAAACCCTCTAGTATTACATCGGGGTCACGTCCA GCCTGTGTAAGTGTATTAGCTTCTCCAATCATGTCAGATGGATGACGAAGGATTAAGACG ATTGACCCAGCATGCTCAATGTCCGGACGAAAAAAATCGGTTAATGACACTTGTTGGATT AGCTGTGTCGTTGATTTAAAATTATTTAACGGGAGTCTAATGGTAACTTGCGGGTTACCA ATTGAAGTTGGATTTATTTGAATGTTGTTCATGCGATTAATAACAATTGAACGGGGGGTT ACTTGAATAGACGCGGTTTCTGTACGTTTTGGTGGTCCATGTATCGGTTGTTTGTTCAGA CCTCCAAAGCGAGGGCCAATTGTTAAATCGCGACTCCAATTTCCGAAGAAGCCCGGAGCA TAAGTCATATGAAGCCCGTTCCCTATTTGAATAAAACGGTTATTTCCTAAAAGACTGATA TTAGTTCCACATAGCGTTTGTTCGTTTAAAGTAAAATGCGAGTTGGTTGGTTGACTCCCC ATAGCTGAGGGGGTAAATTCACACAATGCAATCGTGACG >comp55_c0_seq1 len=512 path=[0:0-511] TCACACGATCACGGGACGGCAAGTTCGAGGTTAATGTTCCGATAAACGCTTTAATATGGA ATTTCCATATCATTCAACCGTATCTTATAACGGCGTAACGTTTTATTTTAACGAGCGTGC TACCAGGGCGTATTTTATATGCGGGGGATGCTTAATTTCCATACCCCGCAAACATGGAGG CGAGATCGCAAAATTTGGACATGTTGTTCGCGGGGTCGGACCCGGTGACAGATCTGTTGC CAGTTACGTTCGAAGTGAGCTCAATCGCACCGGGAAGACATGGGCGGTATCATCCAATAA TAACTGCGTGTTTTTGGATCGAGTGGCCTTACTTGCAGCGGGATCGGGGGCGGTGGATCG CGACCTTTGCGGAACATTTGATGTTGAAGTGGAGGACCCTACGCTCGCAGATTATCTCGT GTCCCTCCCCGTGACGCATTTAACATTGGTGGCGGGGGTAGATGTTACGCGCGAGAATAA GCTAAAATTGTCTCCAACATACGCATATACAC >comp12_c0_seq1 len=7199 path=[0:0-5986 5987:5987-7152 7153:7153-7198] CCTTAGGTCCACACCGAATATGAGAAATATATAACTACACGCAAACATTCAAAACACCGT GGTATCATTAACGTCATATGAAAAGATCCAATCAATCCAATCAACCACACCTCCTACCGT TTAGCACGTCAGCTATGTGACATGCTCCAAACATACGTAAACATTTAGAGAGGGTGTTAT AACAGTCTGTCAGGCGGGGTATATTCTACATAATACAAGGATCGGCTTTAACTTTGTCAA CATTTTTACTTTGGACTATAAACTGCGACTGAACGTTATGAACCCACCCCAAGCCCGCGT CTCGGAACAGACAAAGGACTTGCTTAGCGTTATGGTTAACCAGCACCCCGAAGAGGACGC AAAAGTGTGTAAATCCAGTGATAATTCACCGCTTTATAACACCATGGTTATGTTATCGTA TGGGGGTGATACGGACTTACTATTAAGCTCTGCATGTACCCGCACATCTACCGTAAACAG GTCGGCGTTTACGCAACACTCCGTGTTTTATATTATATCCACGGTGTTGATTCAACCAAT ATGTTGTATCTTCTTTTTTTTTTACTATAAAGCGACACGCTGTATGCTCTTATTCACAGC CGGGTTACTTCTGACGATTCTACATCACTTTCGACTTATTATTATGTTATTGTGTGTCTA CAGAAATATACGATCAGACCTGCTACCCTTATCTACATCCCAGCAACTGCTGCTTGGAAT TATTGTTGTGACTCGAACAATGCTATTTTGTATTACGGCGTATTATACTCTTTTTATAGA CACCCGGGTGTTCTTTTTGATTACCGGACACTTGCAAAGTGAGGTTATTTTTCCAGATAG CGTTTCAAAAATACTTCCTGTGTCGTGGGGTCCAAGTCCAGCCGTGTTACTGGTAATGGC GGCAGTTATTTACGCTATGGACTGTTTGGTGGACACGGTATCCTTTATTGGGCCAAGGGT GTGGGTCCGTGTTATGTTAAAAACATCTATTTCGTTTTAGTCCATTTCAATAAATGTACT ATAATTGTTCAGTCTAAAAATAATGTTGGGTATTTATAATTACCGCCCCCGTGTTACTTG GAAACACCCATACATATGTTCCACTCTACATCAAACTTCTCGCAGTTTTCTTGTTCCCGC ACACGTTTACACGTCCGGATTCAAGTCGCAACGCTGCTGACAAAATGACAACGGTTTCAT GTCCCGCTAACGTGATTACTACAACGGAATCTGATCGTATTGCTGGGTTATTTAACATCC CAGCGGGGATCATTCCAACTGGAAATGTGCTGTCAACCATAGAGGTGTGTGCACACCGTT GCATTTTTGATTTTTTTAAACAAATACGATCAGATGATAACAGCCTTTACTCGGCTCAAT TCGATATTCTTTTGGGGACATACTGCAATACATTAAACTTTGTGCGTTTTCTAGAACTTG GACTGTCTGTCGCTTGCATCTGTACTAAATTTCCGGAGCTGGCTTACGTGCGAGATGGCG TTATTCAATTTGAGGTACAACAACCCATGATAGCACGTGATGGCCCACATCCCGTCGATC AGCCTGTTCATAATTATATGGTTAAGCGGATACACAAGCGTTCGTTAAGCGCTGCGTTTG CAATTGCATCGGAAGCGTTGAGTTTGTTAAGTAACACATATGTCGATGGGACAGAGATTG ACTCATCGTTACGTATAAGAGCTATCCAACAGATGGCTCGTAATTTACGCACCGTTTTGG ACTCATTTGAACGAGGCACTGCCGATCAACTTCTTGGTGTTCTATTGGAGAAAGCCCCAC CGCTATCGCTGCTTTCACCAATTAATAAATTCCAACCCGAGGGACATCTAAATCGTGTTG CACGCGCGGCCCTACTTTCGGACCTCAAACGTAGAGTCTGTGCGGATATGTTTTTTATGA CCCGACACGCCAGGGAACCTAGGCTGATCTCTGCGTATCTGTCGGATATGGTTTCGTGCA CCCAACCATCGGTGATGGTATCACGAATAACTCATACAAACACTCGCGGACGGCAGGTTG ACGGTGTGTTGGTAACAACAGCAACCTTAAAACGGCAACTATTACAGGGAATTTTACAAA TTGACGACACCGCCGCTGACGTACCAGTAACATATGGCGAAATGGTTCTACAGGGGACAA ACTTGGTAACCGCCCTTGTGATGGGAAAGGCCGTCCGCGGAATGGATGATGTAGCCCGCC ATCTCCTTGATATAACCGACCCTAACACGTTAAACATACCGTCTATACCCCCACAATCCA ACTCCGATTCAACGACAGCTGGGCTTCCGGTTAACGCCCGTGTTCCTGCGGATTTAGTGA TTGTTGGGGATAAACTTGTATTCTTAGAAGCATTAGAACGGCGGGTCTACCAAGCTACGC GCGTTGCCTACCCTCTTATTGGAAATATAGATATTACGTTTATCATGCCAATGGGAGTGT TTCAGGCAAACTCCATGGACAGATATACACGACACGCCGGCGATTTTTCAACTGTATCCG AACAGGATCCACGTCAATTTCCACCCCAAGAGATTTTTTTTTATAATAAAGATGGGATAT TAACACAGTTGACTCTTCGTGATGCAATGGGTACCATCTGCCACAGTTCATTGCTTGATG TTGAGGCCACACTTGTTGCCCTCCGCCAACAACATTTAGATCGTCAGTGTTATTTTGGTG TATACGTGGCCGAGGGTACAGAGGACACATTGGATGTTCAAATGGGGAGGTTTATGGAAA CGTGGGCAGATATGATGCCTCATCACCCTCATTGGGTAAACGAACATTTAACAATTCTAC AGTTTATAGCTCCGAGCAACCCGCGTCTAAGGTTTGAATTAAACCCCGCCTTTGATTTTT TTGTTGCACCGGGGGACGTAGACCTTCCCGGACCGCAGCGTCCCCCGGAAGCCATGCCAA CCGTTAACGCAACATTACGGATTATCAACGGAAACATTCCCGTGCCTCTATGTCCCATTT CATTTCGAGACTGTCGCGGAACCCAACTCGGTTTGGGAAGACATACAATGACCCCGGCAA CCATTAAAGCCGTAAAGGATACATTTGAAGACCGCGCATACCCAACTATTTTCTACATGC TAGAGGCTGTTATTCATGGAAACGAAAGAAACTTCTGTGCGTTACTGCGACTGTTAACAC AGTGTATTCGCGGGTATTGGGAGCAATCCCACAGGGTGGCATTTGTAAATAACTTTCACA TGTTAATGTACATAACTACATATCTCGGAAACGGTGAGCTTCCCGAAGTCTGTATTAATA TATATCGGGATTTACTGCAGCATGTAAGAGCATTACGCCAAACTATAACCGATTTTACAA TACAAGGAGAGGGCCATAACGGCGAGACCTCGGAAGCGCTAAATAACATCCTTACGGATG ACACGTTTATTGCACCTATTCTATGGGATTGTGATGCGTTAATATACCGTGATGAAGCCG CCCGAGACCGACTCCCCGCAATTCGTGTAAGCGGGCGAAACGGATACCAAGCCCTTCACT TTGTGGATATGGCCGGGCATAACTTCCAACGACGCGATAATGTGTTAATCCACGGGAGAC CCGTTCGGGGAGACACGGGTCAGGGTATTCCCATTACCCCACACCATGACCGTGAATGGG GTATTCTCTCCAAGATTTACTACTATATTGTCATTCCTGCATTTTCCCGCGGTTCCTGTT GTACAATGGGCGTGCGTTATGATCGCCTATACCCTGCGTTACAGGCAGTTATCGTTCCGG AAATTCCCGCTGATGAAGAAGCCCCAACTACCCCAGAAGATCCAAGACACCCTCTTCACG CACACCAACTCGTTCCGAACTCTCTTAACGTTTACTTCCATAATGCACACCTAACCGTTG ATGGTGATGCATTGCTCACACTACAAGAGTTAATGGGAGATATGGCTGAACGAACGACGG CCATTTTAGTATCAAGCGCCCCCGATGCGGGAGCCGCCACGGCAACAACCAGAAATATGA GAATATATGACGGAGCGCTTTACCATGGCCTTATTATGATGGCATATCAGGCGTACGATG AAACCATTGCAACGGGTACTTTTTTTTATCCCGTTCCGGTCAACCCTCTGTTTGCATGTC CGGAACATTTGGCATCATTGCGTGGAATGACAAATGCTAGGCGGGTTTTGGCAAAAATGG TACCACCAATCCCTCCTTTTCTGGGAGCCAACCACCACGCAACTATACGCCAACCCGTTG CCTACCATGTAACGCATAGTAAGTCGGATTTTAATACTCTTACATATTCTCTTCTTGGAG GGTATTTTAAGTTTACACCAATAGCTCTTACACATCAACTACGAACGGGATTTCACCCCG GGATTGCCTTTACCGTAGTGCGCCAGGATCGCTTTGCCACAGAGCAACTTTTATATGCCG AGCGTGCTTCTGAATCGTACTTTGTCGGACAAATCCAAGTACACCATCATGATGCTATTG GGGGGGTAAACTTTACCCTAACCCAACCCAGAGCTCACGTGGACCTGGGAGTTGGGTATA CAGCTGTATGTGCCACAGCAGCCCTGCGATGCCCTCTCACGGATATGGGCAATACTGCCC AAAATCTTTTTTTTTCACGAGGAGGAGTGCCAATGTTACATGATAACGTTACCGAATCGT TGCGTCGTATAACAGCATCGGGGGGTCGCTTAAATCCCACCGAACCCCTACCCATCTTCG GCGGACTGCGTCCTGCTACATCGGCAGGAATTGCACGAGGGCAAGCCTCTGTGTGTGAGT TTGTGGCCATGCCGGTGTCCACTGACCTACAATATTTTAGAACTGCATGCAATCCTAGAG GTCGAGCATCTGGAATGTTATATATGGGTGACCGTGACGCCGACATAGAGGCTATAATGT TTGATCACACACAATCGGATGTTGCTTATACAGATCGAGCAACTCTTAACCCATGGGCAT CACAAAAACATTCATACGGTGACAGGCTATACAACGGAACATACAACCTTACAGGCGCTT CTCCTATCTACAGCCCATGCTTTAAGTTTTTTACACCAGCGGAGGTTAACACTAATTGTA ATACACTGGATCGGCTTCTAATGGAGGCAAAGGCTGTGGCGTCGCAAAGCTCCACCGACA CTGAATATCAATTTAAACGCCCTCCCGGTTCTACCGAAATGACACAGGATCCGTGTGGCC TTTTTCAAGAAGCATATCCACCACTATGCTCAAGCGATGCGGCCATGTTACGAACGGCTC ACGCGGGAGAAACCGGGGCAGATGAAGTTCACTTAGCCCAATATCTGATTCGAGACGCGT CGCCCCTTAGGGGATGTCTTCCTCTTCCGCGATAATTTCACCACGCCCACATACCCACTC CCAATAAAAGCCCTGTAGAGCGCATTGGCATCTTACTTGAGATTTGGATACGCTCGGCCG ACTTGGTCTGTTTCACGCTTCCTTAAACAACATGGCTATGCCATTTGAGATAGAGGTATT GTTACCAGGAGACCTATCCCCGGCGGAAACATCTGCATTACAGAAATGTGAGGGAAAAAT TATTACCTTCTCAACCCTGCGTCATCGAGCTTCACTGGTGGATATAGCGCTGTCGTCATA TTACATTAACGGTGCTCCACCAGACACGCTCTCGCTGTTAGAGGCATACCGAATGCGATT CGCGGCAGTTATAACACGGGTCATCCCGGGAAAGTTGTTGGCGCATGCCATTGGCGTGGG TACTCCTACACCCGGGTTGTTTATTCAAAATACATCCCCCGTTGATCTTTGTAATGGCGA TTACATCTGCTTACTTCCTCCGGTTTTCGGGTCCGCAGACTCAATTCGCTTGGACTCTGT AGGACTGGAAATTGTTTTCCCTTTAACCATCCCCCAGACCTTAATGCGAGAAATCATCGC CAAAGTGGTTGCACGGGCCGTTGAGCGCACGGCCGCGGGTGCTCAAATTTTACCCCACGA AGTTCTACGAGGCGCGGATGTCATTTGTTACAATGGAAGGCGTTATGAACTCGAAACAAA TTTACAACATCGGGACGGATCGGATGCGGCTATTCGCACATTGGTTTTAAATCTAATGTT TTCCATAAACGAGGGATGTCTGCTTTTATTGGCGCTGATTCCAACTTTGTTAGTCCAAGG AGCACACGACGGTTATGTAAATTTATTGATACAAACGGCCAATTGCGTTAGAGAAACCGG CCAGTTAATTAATATACCGCCAATGCCGCGGATTCAAGACGGCCATCGCCGATTTCCCAT ATATGAAACTATTTCATCTTGGATATCAACATCATCTAGACTGGGGGATACCTTGGGAAC TCGCGCAATTTTACGCGTCTGTGTGTTTGATGGACCCTCTACTGTTCATCCGGGAGACCG CACAGCCGTGATTCAAGTGTAAACAGGTGTTAATAAAAACACAACCAGTCTAGTTACATT TCACGCGTCTTGTTTTTATTTAATAGGCATAAACACGGAATCCGGTATACATGAACTGCC AATATACACGGACATAATTAATGCAACCATCAGATCATCTGACATTGTTCCCGTGGTACC TTTACCCGTGTAAGTTTTTGTGTCTAGATGACCCATACCGCCTTTAATTACCTCTGTCAG GTTATCCAACTGTTTACATAGATACTCCACGGGGTCTACACCTAACTTTACTGTTAGGGA TACAAGCTCCTGTGAGGCTATTATATTTCCGGAGTTAAATCGTTTAACAAAATAGTCTAC GGCCGGCGTTTTTTGTTTTTGTAATAAAAAAAAAGGGTACGCCACGCTACATCCGGGAGG TATGGAATGATAAAACAGTAACACTGGAGCGGAAGATAGCACGTTTCCCTTTTCGAGGAC AGCAAACTGTTGTGCTATAGCCAACGATATGGCAACTGCAGAATCCTGGCTGCTGTTTCC CTCTATAGAAACGTGTACGTTTGTAAATGTATTGGGGTGTAAAGCGAGTATGTGGCCTAA GCATTGAGTAACGCAACGCCCTATCTCACTGGAAGACGTGCCAGTTAAAGCTCTAAGAAA AAAGTGCTCCAATCCAAATATAATCCAATCCGACTTATAACGACCAACAATCGCTACACC AGTACCAGACGCTCCTGCATTTACCTCAAATACACGAGCGTCTGGTACTGGTGTAGCGA >comp68_c0_seq1 len=407 path=[0:0-406] AATTATGGCAAAGGATGATGTAACGGGCATGAAGGGAGAGTGTTTGGTCGTGTGGCCGCC CGTTGTATGTGGGGAGGGTGTAGTATTTGACTCACCCTTACAGCGGCTTTCTGGGGAGGT GTTGGCCTGTTATGCATTACGTGAACATGCTCGCGTCTGCCAAGTTTTAAATACAGCCCC TTTGCGCGTGTTAATAGGTCGCCGGAATGAAGATGATAGATCTCACAGCACACGTGCGGT TGATCGTATAATGGGCGAGAACGATACAACACGGGCTGGATCGGCCGCGTCTAGACTTGT AAAGCTAATAGTTAACTTAAAAAACATGAGACATGTTGGAGATATTACCGAAACCGTACG TTCCTATCTAGAAGAAACGGGCAATCACATTCTGGAAGGAAGTGGAT >comp46_c0_seq1 len=708 path=[0:0-707] AAATAAACCTTTTATTTTAAGGATGGGTTGTTGCGGCGTGTTTTTTTGTCATAAAAACAA GAAGTTATATGAAGCAAGGGGATCGTCAGTAAATTTCAATGATGGACTTGAAAAATCATT ATGAGCATCTAGAAGATGGTTAATAATAGTGACAAACGTGTGTATAAGGGGCTTGAGATG AGCAGCGCAGTCTATGGGGGGAATACAGGCACACGATGGTAGCAATTCCCAGTAAACAAC AGTAGGAGGTCCATGTGGGTTGGGATTACGAACCATAATTATCTGTCTTGGTTTATAATC CTTATCTTGCATGTGTCCGTATGTCAGATAAGATGCCGGTATTGCTTTTGTTTCCGAATT TTGCTCCTGAAGACTCCAGTATACCGGAGTATAACGGCGATCAAAAACATGTTCAAAAAA ATCGACGTATGTTTTTCTGGCAGCCTCCACAACTTGTCCGGCCCATATGTCGTATAGGAC ATGGTCCCATATGCAATTTTCCTGTATCTGTTCTCGAATTTTTGTTGCGGTACATAGGAG TCCTGAAAGACGCTCCTTTAAATCTCGCGCCGCCTGACTTCGCCATGGCACGCCAACTAA ATCCGGAGGCGTGTTTGTTTGTAAATTCCACAGCCAGCTTCCCGTGGTACACCAGGTAAA TGCGTGAGTGTACACACCCTCGACCCGGAGTACCGGTTCCATGGCGGG >comp21_c0_seq1 len=1029 path=[0:0-1028] GTTGGTTAACACCGCCCCACCATCATCTGATTTGCAAACATATCGGCGTCGTCTGCCGTG GACCCCTGTATTAAAGGGGCCTTGGAACTAGCCTCCACTGCATTTACATCTTGTCCAACT GTATCTGTATGTGGGGTGCTTGTTGTATTTTGGGATGAGCATAGACCCGAAACGCTTTGA AGCTGTTTTAATAAAATCGATATTCGAGGATCCCGTGTCCCCTCTGGTATATTTGTATGG TGCGACAAAGGCATTTGTGTCCCATTTTGTGATTTTAGCTCTGTAACCTCCTGTTGCAGT TTTGCCACAACCCCAGCAAGCTCTTCGTGCTGACCATTAGAAACTCTGTGTCTCCTCTGC CAATATGATGGAGAAACTCGACGTCTCCGATGCGTTATATACGTTGGTTCACCGGGAAAA TATATATTTGAGGGAAACTCTCCGTCCATTTGAGACTCCCCACTAGAAAAAGAATCCAAT TCCCTTTGATCCATGCTCTTGAAATCCCGTTTTCCTGGACGACGGACATCGGTTTTGTCT GGAAAATTTACACACGGGGTCTGCAAGTCAATACCCCGTTCGGCGGCCAATGCGTTCATA AATGCGGACATTTGCATTTCCAAACGATTGGGTGGTGGATATCCCGGAAACCCGTACGGT CCCCCGAAGTGTCCCGGAGGGCAACCATAACCCCCTGTATTAGGTGGGAAGGCAGGCGGG TGTGGAGATCCATATGGCCCGACGATATACTGTCCGTTATTTGGAGCTCCAATTGATACC TGCGGATTTTTAGTCTGCCCGGTTAACAGCTGTGAATAATACGCGGTAGGTATCAGTACA AATTCCCCTCCGGTTGGAACGCCCGACGGGGGCTGTGGTGAGATACCACTAGCGTTACCT GCTACAGAAGCCATATCGCTGTCGTTCCTACACAACTGCGTAACCTTTAAATGCGGAACA GTCTTTTCACAATCTTCATTTGATTCCCCAACACCCAACGCGAGATCGTATATGGGCCCG CCGGGGTGG >comp56_c0_seq1 len=388 path=[0:0-387] GTCACAAACTCGCCCGGTAACCGTCGTACGTGCCCCTATGGGCTCTGGTAAAACAACAGC CTTGCTTGAGTGGCTTCAACACGCGTTAAAGGCAGATATTAGCGTACTGGTTGTCTCATG TCGCCGTAGCTTTACCCAGACGTTGATTCAACGGTTTAACGATGCAGGCCTCTCCGGATT CGTAACATATTTGACATCCGAGACATATATTATGGGTTTTAAACGTTTGATTGTGCAACT TGAAAGCCTACACCGCGTATCCAGCGAAGCTATCGACAGCTACGACGTATTAATACTGGA TGAGGTAATGTCAGTGATTGGACAATTATACTCCCCCACAATGAGACGTCTTTCCGCGGT TGATAGCCTATTATATCGTCTTTTAAAT >comp52_c0_seq1 len=421 path=[0:0-420] AAGTCTGATACAACGCTTGTAGCACCATGATGTGTACGTGTTCCATTTTCCACCACAAAT CCCGTTAAACGCAAAATGGTGAGGTTAATAAAAAGCTCCAATGGATCCTTTTCGTCTGGC ATGACCAAGGGCCTTGTTACCCAAATGGGAACATTTGTATGACCGGTAATAACAGTATCC AACGTACCCACCGCATTTTGTACGTATCCATTGCTAATTTCATGCCCATGTTGTAGTAGT TTTTCGACAACCATGTTGACATCACCACTCTGTTCAAATAGAAATGGCTTCCGATCTTTC AAACTGCTTCCTACATTCATGTTCCGTGAAAAAGTGGGACTGGATTCAGGCGTATCTACA TTGGATACATTTAACACAACGTCTGGGGTGTTAGCAACTTCTCGTAGGCGGGGTAATACA T >comp51_c0_seq1 len=509 path=[0:0-508] GCTTTAATACACAACGTGTACGTTGGGATCACGTAGAGCGGCAAGAATGTGATCGCTAAT TTCTGCGGATTTTTCATATCGTTCCCGTAGAGGGTTTAGATTCATTTTTAAGAACCTAGA GGAGACCGTACGCGACATGGCAACATACACACTATTTAGGCGCAGTTTATCCGCCGTAAA ACAGATAGCTACCTTCTCTAAACTCAGACCCTGTGAGCGTGCAATTGTCATGGCTAGTTT AGAACTAAGGCCATAGTCCACCGTGGTGGCCATTGCCAATTCTGCATCCTCTATAGACTC GGTAAATTCACATACGTTAGCGTTTACGATGGACACAAACCCATGTTGATCCTGTAAGAC CATAAGAGGTACGTGTAGAGCATATAACATTTCGGTAGTTTCGCGGTACAGCTTTTTTCG GGTCAGTTCCTCTACAAAGACTGGCACGGGTGCAAAAGTATACCCCAAAAGGGTATACGT ATCTGTTTGGGGTATACTTTTGCACCCGT >comp6_c0_seq1 len=4015 path=[0:0-1206 1207:1207-4014] CCGTCCCCCGGCAGGATCTCGGATGGGGACGGAGGTGCTAAAATCATAGCTTCGATGCTA CTACCGTAGTTTCTATTTTCAACAACTTTTGCGTAAGGATGATCCGCTCGTACATGTCTC GGTTCTTGAGGATGTTTGACCGCATATGCGTCTAACTTACGCTTAATGTGGTGGGTAAGA AAACCCACCGACCGTGGTAAATGAACCGAAAATGAGGGTTGTTGAACCAACGGAGATTTG TTTTCTTCAACAAGACCACATCTAACTAGAGGCAGTCCCAGTTCTCGGCGGCGGTAATTT ATTTCCCTCAAGGCAGACGCTGTTAGTGGTTTCCCTTCTAATAACACAATGCCGTGGTTG CATAATACAGGATGAAACGCACACGTGAACTGTCGACGTTCGGTCCAGGTGAATTTTAAA GCCGCAAACACGTCCGGGTGTGCAGATTGACTGGCGTACAAACGCCAGGAAAATTCACGC GTTACGGTTAAATATAAATGTAGGTACAAAAGACGCGCCAAACTTGCCACCTCACGATAA TATCTAAGTAGAATACTTTGCCTGAGTTGCGTGTAAGCTTTCTGGTCAGGGTTTTGTATA TTAAGACCTATTGTCGTCCTTTTCGCCGTTCCTTGGAGATAACGTATAATCGATTTACAA TAAGTAACTAGTAGTTTTGTGTATGCTTCTTCCCGGGCGCGTAGTTCTACGGTAAACGAA TCCTGGACCTCCTGAACGTAAGCTGGAAGCCCCGTCGGTTGCTTTGGTGGACTAGGCAAT CGAACGGAACCCCGGGTTGTTAAATTAAACATTTCAACATGGTCTTTGGTTGAAACGGTT GAGATAACGTCATCTGGATCCGGGGATAAAACCATCATATCGGAATATAGGTCCTCATTA ATAGGAAAACATGAGAATAAATCCTCGTTCCAGGTTTCAAGACATGATAGTAAACGCGGC CCTTCTGAAAAATCAAGATCCCGTATTAACTGTTGATATAAAATTTTAGGGCTAGCTACC CAAGGCGGAGACGGAGCAGTTTTAACTGCATGTGAATATAACGACGTTTCGGATCCAATA TCCGATGCTACATCACCAAACAACGATTCATCAAATGCGTCCACAACCGCTTGTTCCGTT TTACTACGATTCCACGTATCTGTACTATGATGTTCGGTTCCTAAATTACACTCCATACTT ATAGAGTAAAATCTTTAGTTTAAATAAGCGATTCCCTTTATCAAAACCCGCCGTCTAATG GGGTTTGTTTGGTAGCAACTGATTATAAACTGTTCATAATACCACGTGGTACTATTTAAA CAGTTTATAATATGTGACATATAATACACATTTATAATAAACACAAACCACGACTGTCTT TTATACGTTTATTTATTATACATAATACCGGGTAAACCGTTACTGCGTAATTATATCCCT ATTTTCGCGCATCAGTTCTTGATGCCGAACGGGCCCTACTTCGATTAGTTATACGCCCAG TCGTTTGTGTATCCGTTCGACTTTTTGGCTTACGAACTTGTGCGTACATAGGTTCATTAC CCATGCCCCCCTGTAAATCTCCAGTTTTTCGATTATGTCCACGTTTGGATACCGATGCTC CTTCACCTAGTTCTGCTTCATTAGCGGCTTGTATTAAATTTAAACCCTCATGCACCGTAA TACGAATAACGGCTCCGGTTAACAAACGGTCTAATTCGGCGTTATTCCTTGGGGGATTAC TATTCCAAGCCGCTTCGGCAGCCTTTTGTGCCTGCATGGCGGCTACGCGCCGGACCGCTT CACAAAAGACGCGTTTGTTATATGATGGCGTAGGACCGCACCACGAGCTTGTTGCGGTTT TTGGTGCAGTGCTGAAGGAAATTGGTCTCCCGCTGGCAATTGCGCCCGCTCCCGGGGGAG CTCGCTTCGGTGAATCCTCTAATTTAGGTTTAACCGCCGCATTTTTAGTAAAAGATCTAG ATGGTTTTTCTACACTTAGCGGGTTTTCATATACAGCATCTTCAACCAGTTCATGTCTCA AACGGGCCTCCCGAAAGGCGGCCACTACTTCATCGATGTCTTCAAAGTCATCTTCCGATC CGCTGGAGTCGTTTGGTTGATGTACGCGAGGGGTCGTATTTTTATGTTCAAAATAAAGAT CCGCGTACACTGGAGAAGGAGAATCGGCCCCAACTGTGGTAATGTAACCCAACGAGTCGT CTGAATCATCGGGGGGTCCTACGACCACACTTCGCCGCGCGGTTCGATATTGTCCGGAAT AACTAGGCGTTGTTTTACGACGCACTGCATTAGAGCGACAAAGTCTGTCACCGTCGGAAG ATGCCATTACGTAAATAAACGATAGGGTCGTGAAATATCCAAACACGGCAGACCGCGTAT TAAACAGGGACCCTCTTATACACGCCTGCCCCTTTTATAGGCAAACGGGTTTACCACGTG CTGCGTAATACAGAACGAGTAAATAACCGGAAACACGCATGATAAGCTAACGAAATAAGG GCTACACACACCCCCAACAGGGATGCGTAGAAGAAAAGGGTGGTGATCATTGATCCGTCG ATATAAACTCCACGAGCCGAACAGCTGGCATGCCAAAAATTCCGTTCTGCAAAGTTTGGC TCCCCACTGCTGTCTTCACAAAAAAATAAAATTTGCATCGTTATTAATATGAACGAAGCG GTAATTGATCCCATCTTGGAAACGGCAGTAAATACAGGTGATATGTTTTGTAGCCAAACT ATTCCGAATCGGTGTTTAAAAGATACAATTTTAATAGAAGTTCAACCTGAATGTGCAGAT ACGCTGCAATGCGTGTTAGACGATAAAGTAAGTCGACATCAACCGTTGTTACTCCGGAAC CACAAGAAACTCGAACTGCCATCTGAAAAATCTGTAACACGGGGCGGTTTTTATATGCAG CAGTTGGAGCTGTTGGTTAAGTCGGCGCCTCCCAATGAATACGCACTGTTGTTAATTCAA TGCAAAGATACTGCCCTTGCTGATGAAGACAATTTTTTTGTCGCCAACGGAGTTATTGAT GCGGGTTACAGAGGAGTAATTTCAGCCCTTTTGTATTACCGGCCAGGAGTAACCGTTATT TTACCCGGACATTTAACAATCTACTTGTTCCCGGTAAAATTAAGACAAAGTCGCCTTCTC CCAAAAAACGTTCTTAAACATCTGGATCCAATTTTTAAATCGATACAAGTTCAACCCTTA TCAAACTCGCCGTCAAATTATGAAAAACCCGTTATACCTGAATTTGCTGATATTTCCACG GTACAGCAGGGGCAACCTTTACATAGGGATTCTGCAGAATACCATATCGATGTTCCCTTA ACCTACAAACATATCATCAATCCAAAACGCCAAGAAGACGCGGGATATGATATTTGTGTA CCATATAACCTATATTTAAAAAGGAATGAATTTATAAAAATTGTCTTACCGATTATAAGA GACTGGGACTTACAACATCCGAGTATAAACGCTTATATTTTTGGAAGATCATCGAAAAGC CGATCAGGCATTATCGTGTGTCCAACGGCATGGCCTGCAGGAGAACACTGTAAATTCTAC GTATATAATCTCACGGGTGATGACATACGTATAAAAACGGGAGATCGTCTTGCACAGGTC CTGTTAATAGATCACAACACCCAAATACACTTAAAACACAACGTTTTAAGTAATATTGCA TTTCCTTATGCTATCCGCGGTAAATGTGGCATACCGGGTGTACAATGGTATTTTACTAAA ACGTTAGATCTAATAGCCACACCCAGCGAACGGGGAACGCGTGGATTTGGTTCAACTGAT AAAGAAACAAACGATGTCGATTTTCTACTAAAACATTAAATGTAATAACCACGCCAGCCA GCAATGTTTTAATTTTATATACAAAATAAAAACATACACCAGAAACGTTTTTAGTTTTTA TTTCAATATTTATACAAGCATAACATGGGATTTCTTGATCGCGGGGGTTGTGCGT >comp6_c0_seq2 len=1241 path=[0:0-1206 4015:1207-1240] CCGTCCCCCGGCAGGATCTCGGATGGGGACGGAGGTGCTAAAATCATAGCTTCGATGCTA CTACCGTAGTTTCTATTTTCAACAACTTTTGCGTAAGGATGATCCGCTCGTACATGTCTC GGTTCTTGAGGATGTTTGACCGCATATGCGTCTAACTTACGCTTAATGTGGTGGGTAAGA AAACCCACCGACCGTGGTAAATGAACCGAAAATGAGGGTTGTTGAACCAACGGAGATTTG TTTTCTTCAACAAGACCACATCTAACTAGAGGCAGTCCCAGTTCTCGGCGGCGGTAATTT ATTTCCCTCAAGGCAGACGCTGTTAGTGGTTTCCCTTCTAATAACACAATGCCGTGGTTG CATAATACAGGATGAAACGCACACGTGAACTGTCGACGTTCGGTCCAGGTGAATTTTAAA GCCGCAAACACGTCCGGGTGTGCAGATTGACTGGCGTACAAACGCCAGGAAAATTCACGC GTTACGGTTAAATATAAATGTAGGTACAAAAGACGCGCCAAACTTGCCACCTCACGATAA TATCTAAGTAGAATACTTTGCCTGAGTTGCGTGTAAGCTTTCTGGTCAGGGTTTTGTATA TTAAGACCTATTGTCGTCCTTTTCGCCGTTCCTTGGAGATAACGTATAATCGATTTACAA TAAGTAACTAGTAGTTTTGTGTATGCTTCTTCCCGGGCGCGTAGTTCTACGGTAAACGAA TCCTGGACCTCCTGAACGTAAGCTGGAAGCCCCGTCGGTTGCTTTGGTGGACTAGGCAAT CGAACGGAACCCCGGGTTGTTAAATTAAACATTTCAACATGGTCTTTGGTTGAAACGGTT GAGATAACGTCATCTGGATCCGGGGATAAAACCATCATATCGGAATATAGGTCCTCATTA ATAGGAAAACATGAGAATAAATCCTCGTTCCAGGTTTCAAGACATGATAGTAAACGCGGC CCTTCTGAAAAATCAAGATCCCGTATTAACTGTTGATATAAAATTTTAGGGCTAGCTACC CAAGGCGGAGACGGAGCAGTTTTAACTGCATGTGAATATAACGACGTTTCGGATCCAATA TCCGATGCTACATCACCAAACAACGATTCATCAAATGCGTCCACAACCGCTTGTTCCGTT TTACTACGATTCCACGTATCTGTACTATGATGTTCGGTTCCTAAATTACACTCCATACTT ATAGAGTGTAATTTAGGAACCGAACATAGTACAGATACGTG >comp45_c0_seq1 len=1423 path=[0:0-1422] GGCTATGTTACCTGCACTTACTGTATGTCGAACTAAGGTATTCCTTATAAATCTATGTGC ATCAAAGGCCGCTTCCTGAATGCGATTGTCGATAATACACCCTGCCTGGGAAACCTTAGC TAAAAACACGTTTCGTGCCCCAAACCCATTTTGCATCGAAACAAATGTCTGCAATAAGGC CTCTCCATAAACGTTTACCCTGAGTGTTTTTTCTAGCTCTTGGCGCTGTTCGCGGATACA TCTACCGAGGCTGGTTAGAGAGCGCTTAGACAGATGTTCAAGATATACTCGTTTTCTTTC CGCAGCGTCAATTTTTGCTTTGGATAACAGGTTTTCCCATCCATGAACAGCAAAAGTTAT GCTACTATCATCGTTCAGATCACATTCGGATGCTGTAGCGCTGTCACTCGCCTCTTTGGT TAAATCATCCTCACACCCAACTCTTTCTAAAAGTTGGCGTAAGGCGGCTTCGTTATCATG ACTCGGGTTAGAAATGTGACGCATGAGAGGCGACGATAGATGATGGGCATAACAGGCTTT AATTAATGCTTCTATCTGACTGTCTGGTGAGGATGAGCGATTGCCAACCAAAATACTATC AATTGCATCCAGAGATCCGAGTTCTTCAGAAAACGCCCTATCAAAGTGTATGGGAGTTTT TCCAAATAACGCCAACTCAACCGTTACGGCTGTAAGTTCTGCGTGTTTTTCATGTTCGTT TAATACATCCAAATTATCAACAAACACGTCTAAAGTACGTTGGGGTCCTTCAGTGGAATT AGACGTTAACCAGAATTTAAGCTCGCTGATGGCGTACATACACCGAGGGGCAGGTTTAAA AACATTATAAGAATCAAGCATGGTGCTCGCAATTTCGTATGTTTGGTCAAACGTATCGTT CTTTGCTCCCATGGGATTGACTACCGTCTTGGTTTGAAGTGTTCGTAACGCTTCAACGGC GGATTGACGTTTGATATCCGGTACATCAGGGATATATGGTAAACACCGAATAATATCGTC AACATCCACGTTAACCCGAACTTGCTTAGTAACGTGATCGCAGATACATCCTAATAATCT ACGATGTAAGGTCTCACCTTGGTTAGCTGTTATACATAATTCTTCAAAACATATAGCACA TGGATGCGCCGGATCAAACAACTCCACGGGTGGTATTAGACCGCTTCCTATAGTATCTGT CATAAACCGCGTCACGGTTTCCAATGTGTTTAGCGCCTCACGAGAAGACGTGATAATATA GCAGTAATTAAGCTGTTTTAAAAAATTCTCAATGTCGTGTAAAAACTGAATTTCACTCGA TACGTAACCTCCGTATGTTGTTAACGACAGCTCATGGTGATATTGGCAGGTTTTTAAGTT AAACGCTGAGACAAAGTAATCTTTGATACAGTTTGAGTCTTTG >comp18_c0_seq1 len=4325 path=[0:0-4324] CCATTATTTCATCAGATCCCGTGGGTGTGGTTTCCTTTATTAAAGCCACGGTATCCCTCA GCTGGCGCATACCCTCGCAAAACTGGTGATACTTAGTAGGGGTATGTATATTAGCGCTAA AACGGCAAGATTTTAATTCCACTATAAAACAAACGGTCTTTCCGGCACCACTGGATTCCG TTTGTATAATACAAATACAATCGGGGCGTCGGCGTCCCAAATTTACTTCAAACGACATTG ATATGCGTACAGCCCTTTGAACATCCACGTGGGATAACGGCGACAGGAGTTTTGCCAGCC TCGGGTTGAACGCGTCCGCGAAACCTCGACGTACGTTATCAATATCCTTTTTGAGTACAT CGTAAAAACGAGTGTGACAACGTTGTCCCAAACGAAAACACTTGGCCCGAATTTGACTAG CGGACATATTTGAAGTTCCGTCCCAGAAGATAACCTAAGACGCGTTTGTCTACAATAAAC ATGTCAACGGATAAAACCGATGTAAAAATGGGCGTTTTGCGTATTTATTTGGACGGGGCG TATGGAATTGGAAAAACAACCGCCGCCGAAGAATTTTTACACCACTTTGCAATAACACCA AACCGGATCTTACTCATTGGGGAGCCCCTGTCGTATTGGCGTAACCTTGCAGGGGAGGAC GCCATTTGCGGAATTTACGGAACACAAACTCGCCGTCTTAATGGAGACGTTTCGCCTGAA GACGCACAACGCCTCACGGCTCATTTTCAGAGCCTGTTCTGTTCTCCGCATGCAATTATG CATGCGAAAATCTCGGCATTGATGGACACAAGTACATCGGATCTCGTACAAGTAAATAAG GAGCCGTATAAAATTATGTTATCCGACCGACACCCAATCGCCTCAACTATATGTTTTCCC TTGTCCAGATACTTAGTGGGAGATATGTCCCCAGCGGCGCTTCCTGGGTTATTGTTTACG CTTCCCGCTGAACCCCCCGGGACCAACTTGGTAGTTTGTACCGTTTCACTCCCCAGTCAT TTATCCAGAGTAAGCAAACGGGCCAGACCGGGAGAAACGGTTAATCTGCCGTTTGTTATG GTTCTGAGAAATGTATATATAATGCTTATTAATACAATTATATTTCTTAAAACTAACAAC TGGCACGCGGGCTGGAACACACTGTCATTTTGTAATGATGTATTTAAACAGAAATTACAA AAATCCGAGTGTATAAAACTACGCGAAGTACCTGGGATTGAAGACACGTTATTCGCCGTG CTTAAACTTCCGGAGCTTTGCGGAGAGTTTGGAAATATTCTGCCGTTATGGGCATGGGGA ATGGAGACCCTTTCAAACTGCTTACGAAGCATGTCTCCGTTCGTATTATCGTTAGAACAG ACACCCCAGCATGCGGCACAAGAACTAAAAACTCTGCTACCCCAGATGACCCCGGCAAAC ATGTCCTCCGGTGCATGGAATATATTGAAAGAGCTTGTTAATGCCGTTCAGGACAACACT TCCTAAATATACCTAGTATTTACGTATGTACCAGTAAAAAGATGATACACATTGTCATAC TCGCGTGTACGTGTTTTTCTTTTTTATATATGCGTCATTTATTACCACATCCTTTAATCC CGCCTTTATCTCCCTAAAACGGAGTGGTAATATTAAAAGCCGCCAAGCCTGTTGGTGGGT GAGGAGGGGTAAAGGCACGCTGTGTGCATAACGTTGCGGTGATATTGTAGCGCAAGTAAC AGCGACTATGTTTGCGCTAGTTTTAGCGGTGGTAATTCTTCCTCTTTGGACCACGGCTAA TAAATCTTACGTAACACCAACCCCTGCGACTCGCTCTATCGGACATATGTCTGCTCTTCT ACGAGAATATTCCGACCGTAATATGTCTCTGAAATTAGAAGCCTTTTATCCTACTGGTTT CGATGAAGAACTCATTAAATCACTTCACTGGGGAAATGATAGAAAACACGTTTTCTTGGT TATTGTTAAGGTTAACCCTACAACACACGAAGGAGACGTCGGGCTGGTTATATTTCCAAA ATACTTGTTATCGCCATACCATTTCAAAGCAGAACATCGAGCACCGTTTCCTGCTGGACG TTTTGGATTTCTTAGTCACCCTGTGACACCCGACGTGAGCTTCTTTGACAGTTCGTTTGC GCCGTATTTAACTACGCAACATCTTGTTGCGTTTACTACGTTCCCACCAAACCCCCTTGT ATGGCATTTGGAAAGAGCTGAGACCGCAGCAACTGCAGAAAGGCCGTTTGGGGTAAGTCT TTTACCCGCTCGCCCAACAGTCCCCAAGAATACTATTCTGGAACATAAAGCGCATTTTGC TACATGGGATGCCCTTGCCCGACATACTTTTTTTTCTGCCGAAGCAATTATCACCAACTC AACGTTGAGAATACACGTTCCCCTTTTTGGGTCGGTATGGCCAATTCGATACTGGGCCAC CGGTTCGGTGCTTCTCACAAGCGACTCGGGTCGTGTGGAAGTAAATATTGGTGTAGGATT TATGAGCTCGCTCATTTCTTTATCCTCTGGACTACCGATAGAATTAATTGTTGTACCACA TACAGTAAAACTGAACGCGGTTACAAGCGACACCACATGGTTCCAGCTAAATCCACCGGG TCCGGATCCGGGGCCATCTTATCGAGTTTATTTACTTGGACGTGGGTTGGATATGAATTT TTCAAAGCATGCTACGGTCGATATATGCGCATATCCCGAAGAGAGTTTGGATTACCGCTA TCATTTATCCATGGCCCACACGGAGGCTCTGCGGATGACAACGAAGGCGGATCAACATGA CATAAACGAGGAAAGCTATTACCATATCGCCGCAAGAATAGCCACATCAATTTTTGCGTT GTCGGAAATGGGCCGTACCACAGAATATTTTCTGTTAGATGAGATCGTAGATGTTCAGTA TCAATTAAAATTCCTTAATTACATTTTAATGCGGATAGGAGCAGGAGCTCATCCCAACAC TATATCCGGAACCTCGGATCTGATCTTTGCCGATCCATCGCAGCTTCATGACGAACTTTC ACTTCTTTTTGGTCAGGTAAAACCCGCAAATGTCGATTATTTTATTTCATATGATGAAGC CCGTGATCAACTAAAGACCGCATACGCGCTTTCCCGTGGTCAAGACCATGTGAATGCACT TTCTCTCGCCAGGCGTGTTATAATGAGCATATACAAGGGGCTGCTTGTGAAGCAAAATTT AAATGCTACAGAGAGGCAGGCTTTATTTTTTGCCTCAATGATTTTATTAAATTTCCGCGA AGGACTAGAAAATTCATCTCGGGTATTAGACGGTCGCACAACTTTGCTTTTAATGACATC CATGTGTACGGCAGCTCACGCCACGCAAGCAGCACTTAACATACAAGAAGGCCTGGCATA CTTAAATCCTTCAAAACACATGTTTACAATACCAAACGTATACAGTCCTTGTATGGGTTC CCTTCGTACAGACCTCACGGAAGAGATTCATGTTATGAATCTCCTGTCGGCAATACCAAC ACGCCCAGGACTTAACGAGGTATTGCATACCCAACTAGACGAATCTGAAATATTCGACGC GGCATTTAAAACCATGATGATTTTTACCACATGGACTGCCAAAGATTTGCATATACTCCA CACCCATGTACCAGAAGTATTTACGTGTCAAGATGCAGCCGCGCGTAACGGAGAATATGT GCTCATTCTTCCAGCTGTCCAGGGACACAGTTATGTGATTACACGAAACAAACCTCAAAG GGGTTTGGTATATTCCCTGGCAGATGTGGATGTATATAACCCCATATCCGTTGTTTATTT AAGCAAGGATACTTGCGTGTCTGAACATGGTGTCATAGAGACGGTCGCACTGCCCCATCC GGACAATTTAAAAGAATGTTTGTATTGCGGAAGTGTTTTTCTTAGGTATCTAACCACGGG GGCGATTATGGATATAATTATTATTGACAGCAAAGATACAGAACGACAACTAGCCGCTAT GGGAAACTCCACAATTCCACCCTTTAATCCAGACATGCACGGGGATGACTCTAAGGCTGT GTTGTTGTTTCCAAACGGAACTGTGGTAACGCTTCTAGGATTCGAACGACGACAAGCCAT ACGAATGTCGGGACAATACCTTGGGGCCTCTTTAGGAGGGGCGTTTCTGGCGGTAGTGGG GTTTGGTATTATCGGATGGATGTTATGTGGAAATTCCCGCCTTCGAGAATATAATAAAAT ACCTCTGACATAAAAAACATGTATAATAAAAAGTCACTATAAACGTATTCTCTACAATAC TTTAT >comp22_c0_seq1 len=2291 path=[0:0-753 754:754-773 774:774-2290] TGGGCACTGTCACAGTCTTCCGAGTACTTCACCAAAATGGAAAATACTCAGAAGACTGTG ACAGTGCCCACGGGGCCCCTGGGTTACGTTTATGCGTGCCGGGTTGAAGATTTGGATCTG GAGGAAATTTCATTTTTGGCCGCTCGTAGCACGGACTCTGATTTGGCTTTATTACCTTTG ATGCGTAATTTGACCGTGGAAAAAACTTTTACATCCAGCCTGGCGGTGGTTTCTGGAGCA CGCACTACGGGTCTTGCCGGAGCTGGTATTACCTTAAAACTCACTACCAGTCATTTCTAT CCATCTGTCTTTGTCTTTCACGGAGGCAAACACGTTTTACCCAGCTCCGCGGCCCCAAAT CTCACACGCGCGTGTAACGCGGCTCGAGAACGGTTTGGGTTTTCACGCTGCCAAGGGCCT CCTGTTGACGGTGCTGTTGAGACGACCGGCGCTGAGATATGCACCCGCCTTGGATTAGAG CCAGAAAATACAATATTATACTTGGTGGTCACGGCATTGTTTAAGGAAGCCGTATTTATG TGCAACGTGTTTCTGCATTATGGAGGACTCGATATTGTTCATATTAACCATGGGGATGTT ATACGTATACCGTTATTTCCGGTACAACTTTTCATGCCCGATGTTAACCGTCTGGTACCC GACCCATTCAACACTCATCACAGGTCTATCGGAGAGGGTTTTGTATACCCAACACCCTTT TATAACACCGGGTTGTGCCATTTAATACATGACTGTGTTAAATGGCACAACCCGGTGTTA TTGCTCCCATGGCCGTTGCCTTGCGCGTCAGAAATGTAACTGCCGTCGCCCGAGGAGCGG CCCACCTTGCTTTTGATGAAAATCACGAGGGGGCAGTACTCCCCCCTGACATTACGTACA CGTATTTTCAGTCCTCTTCAAGTGGAACCACTACCGCCCGTGGAGCGCGTCGAAACGATG TCAACTCCACGTCTAAGCCTAGCCCATCGGGGGGGTTTGAAAGACGGTTGGCGTCTATTA TGGCCGCTGACACAGCCTTGCACGCAGAAGTTATATTCAACACTGGAATTTACGAAGAAA CTCCAACAGATATCAAAGAATGGCCAATGTTTATAGGCATGGAGGGCACTTTGCCAAGGC TAAACGCTCTGGGGTCATATACCGCTCGTGTGGCCGGGGTCATTGGTGCGATGGTTTTCA GCCCAAATTCTGCGTTGTATCTAACTGAGGTGGAGGATAGCGGGATGACCGAAGCCAAGG ATGGGGGACCGGGTCCATCATTTAATCGATTTTACCAGTTTGCCGGACCTCATTTAGCTG CGAATCCCCAAACAGATCGAGATGGCCACGTTCTATCCAGTCAGTCTACGGGTTCATCAA ACACAGAGTTTAGCGTGGATTATTTGGCACTCATTTGTGGATTTGGAGCACCCCTGTTGG CGCGACTGCTTTTTTATCTAGAACGCTGTGACGCTGGTGCGTTTACAGGGGGTCACGGGG ATGCGTTAAAATATGTTACGGGGACCTTTGACTCTGAAATTCCATGTAGTTTATGTGAAA AACATACGCGGCCGGTATGCGCTCACACAACAGTACACCGACTTAGACAACGCATGCCGC GATTTGGACAAGCCACCCGTCAACCTATTGGGGTGTTTGGAACAATGAACAGCCAATATA GCGACTGCGATCCTCTAGGAAACTATGCTCCATATTTAATCCTTCGAAAACCCGGGGATC AAACGGAAGCAGCAAAGGCAACCATGCAGGACACTTATAGGGCTACACTAGAACGCTTGT TTATCGATCTAGAACAAGAGCGACTACTGGATCGCGGTGCCCCATGTTCTTCCGAGGGAC TATCGTCTGTCATTGTGGATCATCCAACGTTTCGTCGCATATTAGACACACTGCGTGCGC GTATAGAACAGACAACAACACAATTTATGAAAGTGTTGGTTGAGACCCGCGATTATAAGA TCCGTGAAGGATTATCCGAAGCCACCCATTCAATGGCGTTAACGTTTGATCCATACTCAG GAGCATTTTGTCCCATTACCAATTTTTTAGTTAAACGAACACACCTAGCCGTGGTACAAG ACTTAGCATTAAGCCAGTGTCATTGTGTATTTTACGGACAGCAAGTTGAGGGGCGGAACT TTCGTAACCAATTCCAGCCTGTTTTGCGGCGGCGTTTTGTTGACCTGTTTAATGGGGGGT TTATATCAACACGCTCTATAACCGTAACATTATCTGAAGGTCCTGTATCCGCCCCAAATC CGACATTGGGG >comp22_c0_seq2 len=2271 path=[0:0-753 774:754-2270] TGGGCACTGTCACAGTCTTCCGAGTACTTCACCAAAATGGAAAATACTCAGAAGACTGTG ACAGTGCCCACGGGGCCCCTGGGTTACGTTTATGCGTGCCGGGTTGAAGATTTGGATCTG GAGGAAATTTCATTTTTGGCCGCTCGTAGCACGGACTCTGATTTGGCTTTATTACCTTTG ATGCGTAATTTGACCGTGGAAAAAACTTTTACATCCAGCCTGGCGGTGGTTTCTGGAGCA CGCACTACGGGTCTTGCCGGAGCTGGTATTACCTTAAAACTCACTACCAGTCATTTCTAT CCATCTGTCTTTGTCTTTCACGGAGGCAAACACGTTTTACCCAGCTCCGCGGCCCCAAAT CTCACACGCGCGTGTAACGCGGCTCGAGAACGGTTTGGGTTTTCACGCTGCCAAGGGCCT CCTGTTGACGGTGCTGTTGAGACGACCGGCGCTGAGATATGCACCCGCCTTGGATTAGAG CCAGAAAATACAATATTATACTTGGTGGTCACGGCATTGTTTAAGGAAGCCGTATTTATG TGCAACGTGTTTCTGCATTATGGAGGACTCGATATTGTTCATATTAACCATGGGGATGTT ATACGTATACCGTTATTTCCGGTACAACTTTTCATGCCCGATGTTAACCGTCTGGTACCC GACCCATTCAACACTCATCACAGGTCTATCGGAGAGGGTTTTGTATACCCAACACCCTTT TATAACACCGGGTTGTGCCATTTAATACATGACTGTGTTATTGCTCCCATGGCCGTTGCC TTGCGCGTCAGAAATGTAACTGCCGTCGCCCGAGGAGCGGCCCACCTTGCTTTTGATGAA AATCACGAGGGGGCAGTACTCCCCCCTGACATTACGTACACGTATTTTCAGTCCTCTTCA AGTGGAACCACTACCGCCCGTGGAGCGCGTCGAAACGATGTCAACTCCACGTCTAAGCCT AGCCCATCGGGGGGGTTTGAAAGACGGTTGGCGTCTATTATGGCCGCTGACACAGCCTTG CACGCAGAAGTTATATTCAACACTGGAATTTACGAAGAAACTCCAACAGATATCAAAGAA TGGCCAATGTTTATAGGCATGGAGGGCACTTTGCCAAGGCTAAACGCTCTGGGGTCATAT ACCGCTCGTGTGGCCGGGGTCATTGGTGCGATGGTTTTCAGCCCAAATTCTGCGTTGTAT CTAACTGAGGTGGAGGATAGCGGGATGACCGAAGCCAAGGATGGGGGACCGGGTCCATCA TTTAATCGATTTTACCAGTTTGCCGGACCTCATTTAGCTGCGAATCCCCAAACAGATCGA GATGGCCACGTTCTATCCAGTCAGTCTACGGGTTCATCAAACACAGAGTTTAGCGTGGAT TATTTGGCACTCATTTGTGGATTTGGAGCACCCCTGTTGGCGCGACTGCTTTTTTATCTA GAACGCTGTGACGCTGGTGCGTTTACAGGGGGTCACGGGGATGCGTTAAAATATGTTACG GGGACCTTTGACTCTGAAATTCCATGTAGTTTATGTGAAAAACATACGCGGCCGGTATGC GCTCACACAACAGTACACCGACTTAGACAACGCATGCCGCGATTTGGACAAGCCACCCGT CAACCTATTGGGGTGTTTGGAACAATGAACAGCCAATATAGCGACTGCGATCCTCTAGGA AACTATGCTCCATATTTAATCCTTCGAAAACCCGGGGATCAAACGGAAGCAGCAAAGGCA ACCATGCAGGACACTTATAGGGCTACACTAGAACGCTTGTTTATCGATCTAGAACAAGAG CGACTACTGGATCGCGGTGCCCCATGTTCTTCCGAGGGACTATCGTCTGTCATTGTGGAT CATCCAACGTTTCGTCGCATATTAGACACACTGCGTGCGCGTATAGAACAGACAACAACA CAATTTATGAAAGTGTTGGTTGAGACCCGCGATTATAAGATCCGTGAAGGATTATCCGAA GCCACCCATTCAATGGCGTTAACGTTTGATCCATACTCAGGAGCATTTTGTCCCATTACC AATTTTTTAGTTAAACGAACACACCTAGCCGTGGTACAAGACTTAGCATTAAGCCAGTGT CATTGTGTATTTTACGGACAGCAAGTTGAGGGGCGGAACTTTCGTAACCAATTCCAGCCT GTTTTGCGGCGGCGTTTTGTTGACCTGTTTAATGGGGGGTTTATATCAACACGCTCTATA ACCGTAACATTATCTGAAGGTCCTGTATCCGCCCCAAATCCGACATTGGGG >comp60_c0_seq1 len=553 path=[0:0-552] GCAGCGTTTCCTCCTTGCCAACTGGATAGTCTGCAAGGAGGAAACGCTGCTGCAATGAGT CAGGTTTTTAGGTGAATTAGGTATGATGCATCATTTTTGTTAATGGACTTTTAATGGATT GAAACGGATAGAAGGAAACGTGTAGCATAATGGATATTGGTTGATATTTTAAGCACGCTG CCAAGTACGCACTAAGAATGCTTAGAAATATTTAAACTGAAATGCGTGGGTTTGGCAAAC GTTACCGCAAATCAATCTCAGATCCAAGGGATAATGGCCGTTGGGCAGGCCTCCAAAAGG CAATTTGAGCGTTTTCAGTCCGCTTGAAAACGGTCTAAGTATTTGCCATAAATGACCGCG AGAGGTATAATATAAACATCTGTTTTCCCGATGACGTGTTAAGAAAAGTGATTATATCAG ATAACGGGGGACTGTAAAGCTTAATACGTGACATGTGATTGGGTGTATAAATACTACATC CAAATCTTGCATGGAAATTCGCTTTGTCGGCACGCCGTGACGTTTGACATATTAAGATCG CCCTTTTTAGGAA >comp31_c0_seq1 len=1239 path=[0:0-1178 1179:1179-1238] CCGTGGTGAATTTTTATACGTTTCAAATAACTGAACATTTTTCGGTGTTACCATGGTGCG ATTTAACCACCAAAAATATACGCTCTTCTGATATTCCGAATCTCGTAAAGGTCCATTTAA CAATCCCGGGGGCACTTGCACCACACCATCTGGACAGGGGGGGGTTCCGTGGGGCAGGTC AAAACGCTGACCCACCCCACATGAATATATAGCCTTTATAATATTGGGGGCCGTTCCAGG CTGAGGGTTCAGTAACTTAACAAACATATAATGCGGCAATACGCGGGTTTTTGTAAAGGG GTTGTTATCAACGACATACATTAGAGTGTTTAACAACCATAAAACTCCCTCATATAAAAA CCGACGCATTTTTTCCAAAGGTCCTATTTGACACTCAACGCGTCTAAGATATACAGACAA TTGTACAAACAGCGATGGAGATGCCCCGGAGGGCCCAATGCCTTCCAGATACATTAAAAT AACACATAAGGTAAAATCTAAAACATTATCCGGGCGGAATAGAGTCATCCGATAGATTAA CAGGCGCGGAGGCACCCCCACCGTATACACCCTATCTTCAACCGCAGTTAATACGGAAAA AATAAATCCGCGGAACGCTGGTTGAGTAACACACTCCATGTAGTAACGATCACAGGACAC CTCACTTGAATCACCATTCAACACTACTAAAACGGTCTCTTGGTGTTCCGGTTTTACGCG CAGTGATACAACAGAGTTTGCCAAAAAGCGTGGCTTCAAACCGGTTACCTCCCGCGCCTC GCATACGAATCTTGGTATTGCTTGTATTCTAAGATCTTCGATCACGTCGCTCACATCCAA CCCCTCTTCGGCTCGTGTTAGTAAGTTGTCGATCGTTACGCTGCAACCTAAAATGCTGGG TATATTTATTCCGGACATCCCATCGGCCATCCCCGCGCCTCCGGTTTGCTCGAATTTTAT CCAGTAAGGTCGAATCCGCTGCATTTACCTTGTGTACCCGTAACCTCTCAGGGGGGTGTC CTTTCATAAAATGGGATAGGTTTTTATATCCAACATGCATGTATTGGTTATTTATTTTAT TGGGTTCCGGGATTCTTTCGTCATCTTCTGTAGGGTCAGGCAAACCCCAGGAAGGACTTG GCGTTCTCCGTGGGCCCCGTTTTATTACCTCTGCGCGAACCTATTTATCCCAAATCCGAA TATTATATGAAATGCAGGTTCGCGCAGAGGTAATAAAAC >comp31_c0_seq2 len=357 path=[1216:0-296 1179:297-356] TGTTTCCATAGCTCAGACAAACGTTTTATATCATCTCCATAAGGGGGGATATAACACGTT TGTCTGAGCTATGGAAACAGGAACTTGTTCGCTGTTTTAAGCTTCACCGGGTAAACAATA ATCAAGGCCAGGAAATTTCTGTATCATATTCAAATGCGTCAATCTCATTACTAGTTGCGC CGTATTTTTCATTCATATTACGGGCCACCCGATTAGGATTCTTGGTAACTCAAAGCGAGG TACATAGGTCAGAGGAAGAGTTATGCCAGGCTATTTTTAAAAAGGCGAGAACAGAGTCCT ATTTATCCCAAATCCGAATATTATATGAAATGCAGGTTCGCGCAGAGGTAATAAAAC >comp70_c0_seq1 len=537 path=[0:0-536] CGATGAAGAAAACCAAATAATGCATTTATTTTGTAGTAGGGACGTCAACGTTATTTTTTA TTTAATTGGTGGATTTTCAACTGGAGATGTACGATCCCGGGTCTGGCCTATATTTTTTTG TTGTTTTAAAACCCAAACTGATTTTAAAGCTTTATATAAGGCGTTATGGTATGGAGCACC CCTAAATCCGCATATAATATCTGATACCCTATGTATATCGGAGACGTTTGACATTCACTC GGAAGTTATACAAACTCTGATGGTAACAACACACCATTTAAACCGAAAGGGATTATCGGA CAACGGCCTATGCATCACAGAGGCAACACTCTGCAAGTTAGTTAAAAAATCCGTTGGTCG TCAGGAGCTAACATCATTATATGCCCATTACGAACGTCAAGTATTGGCTGCATATCGACG ACTCTACTGGGGGTATGGATGCTCGCCGTTTTGGTATATTGTTCGATTTGGACCCTCTGA AAAAACGCTAGTGTTGGCTACACGCTATTACTTGTTACAAACGGACACAAGTTACAA >comp10_c0_seq1 len=1755 path=[0:0-1754] GGTTCAGGGCCGAGTTGACACCGGGACGGGCGGGTACCGCCGTTACGGGGAGCGTAGCGT CTCCCGTTCCGCATGTAGGCGAAGCCATGGCCACGGGGGAGGCCCTCTGGGCTCTCCCCC ACGCGGCCGCGGCCGTGGCTATGAGCCGTCGGTACGACCGGGCCCAAAAACACTTTATCC TACAGAGTCTCCGCAGAGCCTTTGCCAGCATGGCATACCCCGAGGCAACGGGCTCCAGTC CGGCGGCGCGGATCTCCCGCGGTCACCCTTCTCCAACAACCCCGGCCACACAGACTCCCG ACCCTCAGCCGTCGGCCGCCGCACGCTCTCTTTCTGTGTGTCCACCGGATGATCGTTTAC GAACTCCGCGCAAGCGCAAGTCCCAGCCAGTCGAGAGCAGAAGCCTCCTCGACAAGATTA GGGAGACACCCGTCGCGGACGCCCGGGTTGCAGACGATCATGTGGTTTCCAAGGCCAAGA GGCGGGTATCCGAGCCCGTGACCATCACCTCGGGCCCTGTGGTGGATCCCCCCGCCGTAA TAACGATGCCACTTGACGGACCGGCCCCAAACGGGGGATTTCGGCGTATTCCCCGGGGGG CCCTGCATACCCCGGTCCCGTCGGACCAGGCTCGCAAGGCGTACTGTACCCCCGAAACCA TCGCCCGTCTGGTCGACGACCCATTGTTTCCCACGGCCTGGCGCCCTGCGCTAAGCTTTG ATCCCGGCGCCTTGGCGGAAATCGCCGCTCGGCGTCCGGGCGGAGGAGACCGACGGTTTG GTCCACCCAGCGGAGTGGAGGCGCTGCGACGGAGGTGCGCCTGGATGCGGCAGATCCCAG ACCCGGAGGATGTGAGGCTTCTGATCATCTACGATCCGTTGCCCGGAGAAGACATCAACG GCCCCCTCGAGAGCACCCTCGCGACAGATCCGGGACCGTCATGGAGTCCATCCCGAGGGG GACTGTCTGTGGTCCTGGCAGCCCTGAGTAACCGGTTGTGCCTGCCGAGCACTCATGCCT GGGCCGGGAACTGGACCGGCCCGCCGGACGTGTCCGCTTTGAACGCCCGGGGCGTTTTAT TACTGTCGACCCGAGACCTGGCCTTTGCCGGGGCCGTCGAGTATCTAGGCTCGCGGTTGG CCTCTGCCCGGCGCCGGTTGCTGGTGTTGGACGCGGTGGCCCTCGAGAGGTGGCCCAGGG ATGGACCCGCTTTGTCTCAGTATCACGTGTACGTCCGGGCCCCGGCGCGACCGGACGCCC AGGCCGTCGTCCGATGGCCAGACTCGGCGGTCACAGAAGGACTCGCCCGGGCCGTGTTTG CATCGTCGCGCACCTTTGGGCCAGCGAGTTTTGCTCGTATCGAGACTGCGTTTGCCAACC TGTACCCGGGCGAACAACCCCTGTGTTTGTGCCGCGGTGGGAACGTCGCATACACCGTGT GTACCCGCGCGGGCCCCAAGACCCGCGTCCCCCTGTCGCCCCGTGAATACCGGCAGTACG TGCTGCCGGGTTTTGACGGTTGCAAGGACCTCGCGCGACAGTCTCGGGGTCTGGGGCTCG GGGCAGCCGACTTTGTGGACGAGGCGGCACATAGCCACCGCGCAGCAAACCGATGGGGCC TGGGTGCCGCGCTTCGACCCGTCTTCCTTCCCGAGGGACGGAGACCGGGGGCCGCCGGGC CGGAGGCCGGCGACGTACCCACCTGGGCGAGGGTGTTTTGCCGCCACGCCCTGCTGGAAC CCGACCCTGCCGCAG >comp3_c0_seq1 len=1689 path=[0:0-1688] TTGGAGTGTTATATAACACTCCAATCGACCCTCTTGCGTACCATAATGTTTTCGGAGTTG CCTCCTTCCGTACCGACGGCATTGCTTCAATGGGGTTGGGGATTGCATCGTGGACCGTGT TCGATCCCAAATTTTAAACAGGTAGCCAGCCAACACAGTGTTCAGAACGATTTTACAGAA AATAGCGTTGATGCAAATGAAAATTTTCCGATTGGGCACGCGGGCTGTATTGAGAAAACC AAAGACGACTATGTACCATTTGATACGTTGTTCATGGTATCATCTATTGACGAACTTGGG CGGAGACAATTAACCGACACCATCCGCCGCAGCTTGGTTATGAACGCCTGTGAAATAACG GTCGCGTGTACGAAAACCGCAGCCTTTTCTGGTCGAGGCGTGTCACGACAAAAACACGTG ACCCTATCTAAAAATAAATTCAATCCATCCAGTCATAAGAGCCTGCAAATGTTTGTGTTG TGTCAAAAAACCCATGCACCCCGTGTCAGAAACCTACTGTACGAGAGTATTCGTGCAAGA AGACCTCGCCGATATTACACCCGCTCAACGGACGGAAAATCGCGTCCGTTGGTACCAGTG TTTGTGTACGAGTTTACGGCTTTAGATCGTGTCCTTTTACATAAGGAAAATACTTTGACC GACCAACCAATTAATACTGAAAATAGCGGTCATGGACGTACGAGAACGTAATGTGTTTGG AAATGCCAGCGTTGCCACGCCGGGGGAACATCAGAAATTTGTACGCGAGTTAATTTTGTC GGGACACAACAACGTCGTATTACAGACATACACTGGTAAATGGTCAGACTGCCGTAAACA CGGTAAATCGGTTATGTATAATACCGGTGAAGCGCGGCACCCAACCTGCAAGGCTCATCA ACGTTAAGAGGATAGGTGTCTTCAAATTAAAAGCCGTTAAATATAAATTTTTTGTGTCGT TTATTCGCGTATGAAATGTAATCAGTTGGGATAAATGTTAGTCTTGAATCTGTCTTTACG CGTTTGCGGCGTCCCGTAATATTAACGAAAGAACGTCGTCGTCTGATGTGAAAAAGGCCG GTTGTGGTGAAGAAGGACAGTTGGTTTCAGGCTGCCGCCTTTGCGATGTATACTGGTGCG GGGTTGGTGTTGGTGTGGTCTGATCGTCAGGTCTGTTTACCCGTAAACCGTATATAACAA TTGAGATACACATGGATAGGTCATCTTCCGTTATTACGGATAGTACCCCCCCCACATTAC TGTACAGCTGAGATGTTGGGTCAGAACCGACCCAGGACATAAACGGCATCGCAAATGTTG CGTGGGGTTTGTCCTGTAAGTGGAAATCCCGGTGCGTAAATGCGTATGATGAAAAGTCAG TAGAACAGTCTATGGTTAGCAGGGTCACTGTATGGGTGTGTTGAAGGACGATCATACCAC CGCTCATTGTATCACATCGAGCGTCCGTCTTCACCGCCATTGATCTTGACCCGCCCGTAA ATGCGTAGAGTGTTTGTTCATGATCCGGTAAAGTCCAGTGAAGAACCCGCCTAACCCCAT GTAACCTATATAAAATAAACGTCGTTGGGGGTCCAGAGATGCTCATGGCGGGTGTATTTA AGACAAAACCTAGAAATGAGAACAGCAAGCCCGCATGCGTGTTTTTATACAATGCTTTAA TACACAACG >comp32_c0_seq1 len=1119 path=[0:0-1118] CTGAAGCCGCTGTGAAACCTTTCACAAGACGATATAAACTTGGTTAAGTGTATTGATGGG GCTCTTTGGACTGACACGCTTTATCCATGAACATAAACTGGTTAAACCCAGCATCATTTC AACGCCACCCGGAGTTTTAACCCCCGTGGCGGTAGACGTATGGAACGTCATGTACACATT GTTGGAACGTTTATACCCTGTGGGTAAACGCGAGAATTTACACGGACCATCTGTAACGAT ACATTGTCTTGGAGTCTTATTGCGGCTATTAACACAACGGTCATACTATCCGATATTTGT ATTGGAACGTTGTACAGACGGCCCATTATCACGTGGAGCCAAGGCAATTATGTCACGGGC CATGAACCACGATGAAAGGGGAACCTCGGACTTAACCCGTGTTCTACTATCATCCAACAC ATCATGTTCTATCAAGTATAACAAAACATCGGAAACATATGACAGTGTGTTTCGAAACTC TTCCGCGAGTTGTATTCCTAGCGAAGAAAACAAATCCCAGGATATGTTTTTGGACGGTTG TCCACGACAAACTGACAAGATGATCTGCCTGCGCGACCAAAACGTATGCAGTCTTACCTC TACAATGCCATCCCGAGGACATCCTAACCATCGATTATATCACAAATTGTGTGCAAGTCT TATTAGATGGATGGGGTATGCATACGTCGAGGCGGTTGACATTGAGGCGGACGAGGCATG TGCAAACTTATTTCATACGCGTACAGTGGCTTTGGTTTATACGACAGATACTGATTTACT CTTCATGGGCTGTGATATTTTGTTAGATGCAATTCCTATGTTTGCTCCAGTAGTACGATG TCGCGATTTGCTTCAATATTTAGGAATTACATACCCTGAATTTTTGGTTGCCTTTGTTCG CTGTCAGACCGATTTGCATACAAGTGACAACCTAAAATCTGTTCAGCAAGTTATTCAGGA TACCGGCCTGAAAATTCCACATCAAATGGACACTTCAACGCGCTCCCCCACTTACGACTC GTGGAGACATGGCGAGGTTTTCAAAAGTCTTACCGTAGCCACGTCGGGTAAAACAGAAAA CGGAGTGTCCGTTTCCAAATATGCATCTAACCGATCGGA >comp53_c0_seq1 len=645 path=[0:0-644] GCTTATGAGCCATCGCCATTCGTTCTCCCAACAGCGTTACAAAATTACTGCCCCCGCTTG GGCACGCCACGTGTATTTTCAAGCACATCAAATGCACTTGGCCCCGCATGCCGAAGCCAT GCTACAATTAGCGCTATCGGAACTGTCCCCGGGATCGTGGCCGCGGATAAACGGGGCGGT AAATTTTGAAAGTTTATAACCCATTAATACCATATATGGACATCCATAGGGGGGGTTACA TAAATACTAAGCCTCTGTACAACACAAAGGGCCTCTAACAATGCACTGAACCACAACCAA GCTATGGACGCAACGCAGATTACCTTGGTTAGAGAAAGCGGACACATTTGTGCCGCAAGC ATATACACATCCTGGACACAGTCCGGACAATTAACACAGAACGGTCTTTCCGTGTTATAC TACTTATTATGCAAAAACTCATGTGGGAAATACGTCCCTAAGTTTGCCGAAATTACCGTA CAACAAGAGGATTTATGTCGCTACTCCAGGCATGGGGGGAGTGTTTCTGCGGCAACGTTT GCGTCTATCTGCAGGGCGGCGTCCTCGGCTGCGTTAGACGCCTGGCCCCTTGAACCACTG GGTAACGCAGACACCTGGCGGTGTCTCCATGGCACTGCCCTGGCC >comp13_c0_seq1 len=3307 path=[0:0-3306] GTAGCCATGTTGACATAATCGGTTCATGACATTATAAACCGATTATGTCAACATGGCTAC AAGGAATACATCATTCCGCCCGAATCAACCACACCGGTGGAATTAATGGAGTATATTAGC ACTATCGTCTCAAAACTTAAGGCGGTGACGCGACAAGATGAGCGAGTGTACCGATGTTGT GGAGAACTTATCCATTGCCGTATTAACCTACGATCCGTTTCCATGGAAACGTGGTTGACT TCCCCAATTCTCTGTTTAACTCCCCGAGTCCGCCAAGCAATTGAAGGGCGGAGGGACGAA ATTCGTCGGGCTATATTAGAACCGTTTTTGAAAGATCAATACCCCGCTTTAGCTACCCTT GGACTACAGTCTGCTTTAAAGTACGAAGACTTTTATTTAACTAAGTTAGAGGAAGGTAAA TTAGAGTCGCTTTGCCAATTCTTTTTAAGACTGGCGGCCACCGTGACAACAGAAATCGTA AACCTGCCTAAAATCGCAACTCTTATTCCCGGAATAAATGATGGTTATACATGGACTGAT GTCTGTCGGGTATTTTTCACAGCGTTGGCATGTCAGAAAATTGTCCCGGCTACACCGGTT ATGATGTTTTTAGGTCGAGAGACCGGGGCAACGGCCAGTTGTTATTTAATGGACCCGGAA TCCATCACTGTTGGGAGAGCTGTTCGAGCTATCACAGGCGATGTGGGAACGGTATTACAA AGTCGAGGCGGAGTGGGAATTTCTCTACAGAGTCTGAATTTAATACCTACGGAAAATCAA ACGAAAGGTCTTCTTGCAGTTTTAAAACTTTTAGATTGCATGGTTATGGCAATTAACAGT GATTGTGAACGACCAACTGGAGTTTGTGTTTACATAGAACCATGGCACGTCGATCTACAA ACTGTTTTGGCCACACGTGGAATGTTGGTTCGTGATGAAATATTTCGATGTGATAACATA TTTTGTTGTTTATGGACCCCAGATTTATTTTTTGAAAGATACCTAAGCTATCTAAAAGGG GCTAGTAATGTTCAGTGGACTCTTTTTGATAACAGAGCCGATATCCTTCGAACATTACAC GGGGAGGCATTCACTTCAACCTATTTACGTTTAGAGAGAGAAGGATTAGGCGTTTCTTCT GTTCCCATTCAAGATATCGCATTCACAATCATACGCAGTGCTGCTGTAACAGGAAGCCCC TTTTTAATGTTCAAAGATGCCTGTAATCGTAATTATCATATGAATACCCAAGGAAATGCT ATCACGGGGTCAAATTTGTGTACGGAAATTGTTCAAAAGGCAGACGCTCATCAACATGGC GTATGTAATCTTGCCAGCATAAATCTTACAACGTGCTTATCCAAAGGCCCAGTGTCATTT AATTTAAACGACCTTCAATTGACAGCAAGAACGACTGTTATTTTTTTAAACGGGGTCCTG GCGGCTGGGAACTTTCCATGTAAAAAATCATGTAAAGGTGTAAAAAACAACCGATCACTT GGCATTGGCATACAAGGGTTACATACAACTTGTCTCCGCTTAGGATTTGATTTAACTTCC CAACCAGCTAGACGGTTAAATGTACAAATAGCGGAGTTAATGTTGTATGAGACAATGAAA ACAAGCATGGAAATGTGTAAGATTGGCGGCTTAGCCCCGTTTAAGGGTTTTACCGAAAGT AAATATGCTAAGGGATGGTTACACCAAGATGGGTTTTCTACGATAAGTTATTTAGATTTA CCATGGTGTACCCTGCGAGATGATATTTGCGCTTATGGGTTATACAACTCGCAGTTCTTA GCGTTAATGCCCACAGTTTCATCTGCACAGGTAACGGAGTGCAGTGAGGGTTTCTCTCCA ATTTATAATAATATGTTTAGTAAGGTCACCACCTCGGGTGAGTTACTTAGACCCAACTTA GACCTTATGGACGAACTAAGAGATATGTATTCATGTGAAGAAAAACGACTGGAAGTTATA AACATACTTGAGAAAAACCAATGGTCAGTAATACGTTCGTTTGGCTGTTTATCTAATAGT CACCCACTCTTAAAATATAAAACAGCGTTTGAATATGAGCAAGAGGATCTCGTTGATATG TGTGCAGAAAGGGCGCCATTTATTGACCAAAGTCAATCAATGACTTTATTTATTGAGGAA CGCCCAGACGGGACAATTCCCGCCTCCAAAATAATGAATTTGCTTATACGTGCCTATAAA GCCGGCCTTAAAACGGGTATGTACTACTGTAAAATTCGTAAAGCTACAAACAGCGGACTG TTTGCGGGAGGCGAATTAACCTGTACCAGTTGTGCTTTATAAATTTACACGGGAAACTAT TCCAAAATGGATCAGAAAGATTGCAGTCATTTTTTTTACAGGCCGGAGTGTCCAGATATA AACAATTTACGTGCCCTGAGCATTTCGAATCGTTGGTTAGAAAGCGATTTTATCATTGAA GATGATTATCAATACTTGGACTGTTTAACGGAAGATGAACTAATATTCTACAGATTTATT TTTACATTTTTATCGGCGGCAGATGATCTGGTAAATGTTAATTTGGGCTCTCTAACCCAA CTCTTTTCCCAAAAGGATATTCACCATTACTACATTGAACAAGAGTGCATCGAGGTTGTC CACGCGCGTGTCTATAGTCAAATTCAACTAATGTTGTTCAGAGGGGATGAATCGTTGCGG GTACAATACGTAAATGTCACTATTAATAATCCGTCGATCCAACAAAAAGTACAATGGTTG GAAGAAAAGGTACGGGACAACCCATCCGTTGCAGAAAAATATATACTAATGATTCTTATA GAGGGCATTTTTTTTGTATCATCGTTCGCGGCTATTGCATATTTACGCAATAACGGACTA TTTGTTGTAACTTGTCAATTTAACGACCTTATAAGCCGAGATGAAGCCATACATACCAGC GCATCGTGTTGTATATACAATAACTATGTACCCGAAAAACCCGCTATCACCAGAATACAT CAACTGTTTTCGGAAGCCGTTGAAATCGAGTGTGCGTTTTTAAAATCCCATGCACCCAAA ACCCGTTTGGTGAACGTCGATGCAATTACACAATACGTGAAATTCAGCGCGGACAGGCTT TTATCAGCGATTAATGTACCAAAACTATTTAACACCCCACCTCCAGATTCGGACTTTCCA CTTGCATTTATGATTGCAGATAAAAACACAAATTTTTTTGAGAGACACAGTACATCTTAT GCGGGCACAGTGATAAACGATTTATAACATGTATATACGAGCAAAATAAAACAATGAACC ATTAAGT >comp71_c0_seq1 len=568 path=[0:0-567] ATTTAATACAAATCTTATAATCACAAACCTCATACTTGATGTAGACTTTCATATAAGAAA ACCCATCCCATTGGGTATTTTACATGCCGGCATGCGAGCATTTCGTCATGGTATTTTAAC GGCCATGCAATTACTTTTTCCAAAGGCCGTGGTAAACCCTAACAAAGACCCATGTTATTT TTATAAAACTGCATGTCCTGAACCTACCGTTGAGGTGTTGGATGATGATAATTTATTGGA TATAACCAGCCATTCTGACATCGATTTTTACATAGAAAATGGCGAATTATACACGTGTGT AGAAGAGAATTATACAGAGGATGTATGGTTTTTTGATACACAGACAACGTCTGAAGTCCA TACACACGCCGATGTATCAAACAATGAAAACTTGCATGAAACTCTACCCTGTAACTGTAA AGAGAAAATAGGTTTCAGGGTATGCGTACCAATCCCAAATCCCTATGCGTTAGTGGGGTC TTCCACTTTAAAGGGGTTTGCACAAATATTACAACAAGCGGTGTTGCTGGAACGGGAATT TGTTGAATATATTGGTCCGTATTTACGG ================================================ FILE: tests/input/TestOrderAndOrient/contigs.hiv.big_indel.fasta ================================================ >contig_extra_36bp GGCCCTAAAAGAATTGTTAAATGTTTCAATTGTGGCAAGGAAGGGCACATAGCCAGAAATTGCAGAGCCCCTAGGAAAAAGGGCTGTTGGAAATGTGGAAAGGAAGGACACCAAATGAAAGATTGTACTGAGAGGCAGGCAAATTTTTTAGGGAAAATTTGGCCTTCCCACAAGGGGAGGCCAGGAAACTTCCTTCAGAACAGACCAGAACCAACAGCCCCGAATTTCCTTCAGAGCAGACCAGAGCCAACAGCACCACCAGCAGAGAGCTTCAGGTTCGAGGAGACAACCTCCGCTCCGAAGCAGGAGCTGAAGGAGAGGGAACCCTTAACTTCCCTCAAATCACTCTTTGGCAGCGACCCCTTGTCTCAATAAAGGTAGGGGGTCAGATAAAGGAGGCTCTCTTAGACACAGGAGCAGATGATACAGTATTAGAAGAA >contig_less_36bp AGGAAGGGCACATAGCCAGAAATTGCAGAGCCCCTAGGAAAAAGGGCTGTTGGAAATGTGGAAAGGAAGGACACCAAATGAAAGATTGTACTGAGAGGCAGGCAAATTTTTTAGGGAAAATTTGGCCTTCCCACAAGGGGAGGCCAGGAAACTTCCTTCAGAACAGACCAGAACCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAGGAGACAACCTCCGCTCCGAAGCAGGAGCTGAAGGAGAGGGAACCCTTAACTTCCCTCAAATCACTCTTTGGCAGCGACCCCTTGTCTCAATAAAGGTAGGGGGTCAGATAAAGGAGGCTCTCTTAGACACAGGAGCAGATGATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATT ================================================ FILE: tests/input/TestOrderAndOrient/contigs.hiv.wrapped.fasta ================================================ >comp0_c0_seq1 len=9130 path=[0:0-811 812:812-2598 2648:2599-5168 5218:5169-9129] CTTTTAAAATTGTGAATGAATACTGCCATTTGTACTGCTGTCTTAAGGTGCTCAGCTTGC TCTCTTACCTGCCCTATGATTTTCTTTAATTCTTTATTCATGGATTCTACTACTCCCTGA CTTTGGGGATTGTAGGGAATCCCAAATTCCTGTTGGACCCCTGCCCACCAACAGGCTGCC TTAACTGCAGCACTGGTGAAATTAGGGCCATTGTCTGTATGTATTACTTTGACTGGCCAT CTTCCTGCTAATTTTAATAGAAAGTATGCTGTTTCTTGTCCTGTTTCTGCTGGGATGACC TCTGCCTCTATGTATCCACTGGCTACATGGACTGCTACTAGGATGACTTTTCCTTCTAAA TGTGTACAATCTAATTGCCATATCCCTGGACTACAGTCTACTTGCCCATGTATGGCTTCC CCTTTTAGCTGACATTTATCACAGCTAGCTACTATTTCTTTTGCTACTATGGGCGGTAGA TTAAATTCATTAGCCATTGCTCTCCAATTACTGTGGTACCTTTCATGATCTTCTTGAGCC TTATCTATTCCATCCAGAAACAGCACTTTCCTGATTCCACTGCTTACTAATTTATCTACT TGTTCATTTCCTCCAATTCCTTTGTGTGCTGGTACCCATGCCAAGTAGACCCTTTCCTTT TTTATTAATTCTTCTATTATTTGGTTTACTAACTCTGATTCACTCTTATCTGGTTGTGCT TGAATGATTCCTAATGCATACTGTGAGTCTGTTACTATGTTTACTTCTGGTCCTGAATCT TGCAAAGCTAGCTGAATTGCTTGTAATTCAGTCTTCTGATTTGTTGTCTCATTTAGAGAA ATAACCTTCTGTCTTCCTCTGTCAGTAACATACCCTGCTTTTCCCTTTTTAGTTTCCCTA TTAGCTGCTCCATCTACATAGAAAGTTTCTGCTTCTGCTATGGGTTCTTTTTCTAGCTGG TACCATAATTTCACTAGGGGAGGGGTATTAACAAACTCCCACTCAGGAATCCAGGTGGCT TGCCAATAGTCTGTCCACCATATGTCCCATGTTTCTTTCTGGATGGGTAGTCTAAATTTA GGAGTCTTTCCCCATATTACTATGCTCTCCAAGGCTATTTTTTGCACTACCTCTGCTAAC TGTTTTACATCATTAGTGTGGGCAGTCCTCATTCTTGCATACTTTCCTGTTTTCAGATTT TTATGTGGTTCTTGGTAAATTTGATATGTCCACTGGCTCATTCCCTGTTTCTGTATTTCA GCTGTTAATTCCTTTGATGGGTCATAATATACTCCATGTACTGGTTCTTTTAGAATTTCC CTGTTCTCTGCCAATTCTAATTCTGCTTCTTCAGTTAGTGGTACTATGTCTGTTAGTGCT TTGACCCCCCTAAGGAGTTTACAAAGTTGTTTTACTTTAATCCCTGGGTATATCTGGCTT GCCCAGTTTAATTTTCCCACTAGCTTCTGTATATCATTGACAGTCCAGCTCTCCTTTTCT GGCAGCTGTATAGGCTGTACTGTCCATTTGTCAGGATGGAGTTCATACCCCATCCAAAGA AATGGGGGTTCTTTCTGATGTTTCTTGTCTGGTGTGGTAAATCCCCACTTCAATAGATGT TCTCTTAGCTCCTCTATTTTTGCTCTATGTTGCCCTATTTCTAAGTCAGATCCTACATAC AAGTCATCCATATATTGATAGATGACTATGTCTGGATTCTTTGCCCTAAAGGGCGCTAGG ATTTTTGTCATGCTACACTGGAATATTGCTGGTGATCCTTTCCATCCCTGTGGGAGCACA TTATATTGATATCTAATCCCTGGTGTTTCATTGTTTATACTAGGTATGGTGAATGCAGTA TATTTCCTGAAGCTTTCATCTAAAGGAACTGAAAAATATGCATCCCCCACATCCAATACT GTCACTGATTTTTTCTTTTTTAACCCTGCTGGGTGAGGTATTCCTAATTGAACTTCCCAA AAGTCTTGAGTTCTTTTATTGAGTTCCCTGAAATCTACTAATTTTCTCCACTTAGTACTG TCCTTCTTTTTTATGGCAAATATTGGAGTGTTATATGGATTTTCAGGCCCAATTTTTGTA ATTTTTCCTTCCTCCTCCATTTCTTTACAAATTGCTGTTAATGCTTTTATTTTTTCTTCT GTTAATGGCCATTGTTTAACCCTTGGCCCATCCATTCCTGGCTTCAGTTTTACTGGTATA GTTTCAATAGGACTAATTGGAAAATTTAATGTGCATCCAAGCTGAGTCAACATATTTCTT CCAATTATGTTGACAGGTGTGGGCCCTACTAATACTGAGCCTATAGCTTTTTTCCCACAA ATTTCTATATGTATTTGATCATATTGTCTTACTTTGATAAAACCTCCAATTCCTCCTATC ATTTTTGGTTTCCATTTTCCTGGCAAATTTATTTCTTCTAATACTGTGTCATCTGCTCCT GTGTCTAAGAGAGCCTCCTTTACCTGGCCCCCTACTTTTATTGAGACAAGGGGTCGTTGC CAAAGAGTGATTTGAGGGAAGTTAAGGGTTCCCTGTCCTTCGGTTCCTGCCTCGGAGTGG GGGTTGTCTCCTGGAACCTGAAGCTCTCGGCTGGTGGGGCTGTTGGCTCTGGTCTGCTCT GAAGGAAATTCCCTGGCCTCCCCTTGTGGGAAGGCCAGATTTTCCCTAAAAAATTAGCCT GCCTCTCAGTACAGTCTTTCATTTGGTGTCCTTCGCTTCCACACTTCCAACAGCCCTTTT TCCTAGGGGCTCTGCAGTTTCTGGCTATGTGCCCTTCCTTGCCACAATTGAAGCATTTAA CAATTCTTTTAGGGCCCTTAAAATTGCTTCTCTGCATCATGATGCTTCCATTTGCTTGGC TCATTGCCTCAGCTAACACTCTTGCTTTGTGGCCAGGTCCTCCCACTCCTTGACATGCTG TCATCATCTCTTCTAATGTAGCCCCTGGTCCTAATGCTCTTAAAATGGTCTTACAATCTG GGTTTGCATTTTGGACTAACAAGGTGTCTGTCATCCAACCTTTTACCTCTTGTGTAGCTT GTTCAGCTCTTAAAGTTTTAAAGAACCGGTCTACATAGTCTCTAAAGGGTTCCTTTGGCC CTTGTCTTATGTCCAAAATGCTAACAGGGCTATACATTCTCACTATTTTATTTAACCCCA TAATTATCCACCTTTTATAGATGTCTCCCACTGGAACAGGTGGGTTAGCTGTCATCCATG CTATTTGTTCCTGAAGGGTACTAGTAGTTCCTGCTATGTCACTTCCCCTTGGTTCTCTCA ATTGACCTGGTGCAACAGGTCCCGCCTGTGCTGGATGTAGTCTATCCCATTCCGCAGCCT CCTCATTGATTGTATCTTTTAACATTTGCATGGCTGCTTGATGTCCCCCCACTGTATTTA ACATGGTGTTTAAATCTTGTGGGGTGGCTCCTTCTGATAATGCTGTAAACATGGGTATTA CCTCTGGGCTAAAAGCCTTCTCCTCTATTACTTTTACCCACGCATTCAAAGTTCTAGGTG ATATGGCTTGGTGTACCATTTGCCCTTGAAGATTCTGCACTATAGGATAATTTTGACTGA CCTTTTCGCCAGCCGCTTTTGCTTGCTGTGTTTTCTGCTGACTTTTGTTTTGTTCCTCCT CTATCTTGTCTAAGGCTTCCTTGGTGTCTCTTACATCTATCCTTCTATGTACACAATAGA GAGTTGCTACTGTGTTAAATAATGATTTAAGTTCCTCTGTTCCTGTCTGAAGAGCTGGTT GTAGCTGTGCTAGTATCTGTTTACAGCCTTCTGCTGTTTCTAAAAGGCCAGGGTTAAGTG CAAATCTTTCCAGCTCCCTGCTTGCCCATACTATGTGTTTTAGCATATAATGTTTCTTTC CTCCTGGCCTTAACCTAATTTTTTCCCATGCATCTAATTTTTCGCCTCTTAATACTGACG CTCTCGCACCCATCTCTCTCCTTCTAGCCTCTGCTAGTCAAATAAAATTGGCGTACTCAC CAGTCGCCCCCCTCGCCTCTTGCCGAGTGCACTTCAGCAAGCCGAGTCCTGCGTCGAGAG ATCTTCTCTGGTCTTACTTTCGCTTTCAGGTCCCTGTTCGGGCGCCACTGCTAGAGATTT TCCACACTAACACAAAGTGTCTGAGGGATCTCTAGTTACCAGAGTCACACAACAGACGGG CACACACTACTTAAAGCGCTCAAGGCAAGCTTTATTGAGGCTTAAGCAGTGGGTTCCCCA GGCATCCAGAGAGCTCTCAGGCTCAGATCTGGTCTACCTAGAGAGACCCAGTACAGGCGA AAAGCAGCTGCTTATATGCAGCATCTGAGGGTTGACCACTCCCTTGTCCCGCCCAGACCA CTCCCCCTGGAACGCCCCAGTGGAAAGTCCCAGGCGGAAAGTCCCTTCTGTGTCAGCAGT CTTTGTAAAACTCCGGATGTTTCTCACGGGCCAGGTGTCTGCGTGCTAGGCTGCTGTCAA ACTTCCATTTTAGTACTTCTCTTTCTGTATCCTCTATTCCATGCTGGCTCATAGGGTGTA GCAGGCAGTTGTTTTCTCCTTGGTTGGCCTCTTCTACTTCACTTGGGTCAACTGGTACTA GCTTGAAGCACCATCCAAAGGTCAGTGGAAGTCTGACCCCTGGTCCTGGTGTGTAGTTTT GCCAATCAGGGAAGAAGCCTTGTGTGTTATAGACCCACAGATCAAGGATCTCTTGCCTTT TCTTGGACCAAATTAACCCATCCAGTCCCCCCTTTTCTTTTAAAAAGAAGCTGAGATCGA ATGCTGCCTTATAAGTCATTGGTCTCAAAGGTACCTGAGGTTTGACTGGAAAGCCTACTT CTTCATCTTCCTCCTGTGCTTGCAGCCAGGCACAAGCTTCATTGTTGTGGGCTGTGTTGC TGCTTGTAAGTGCTCCATGCTTTTCTAAGTCTCGAGACGCTGCTCCCACTCCCTCTGCTG CTCCTACTCTTTCTGCTGCTGGCTCAGTTCTTCTTATTCTTTCTCTTACAGCAGGCCAGC TTTTTGACCACTTGTTTCCCATCTTATAGCAAAGCTGCTTCAAAGCCCTGTCTTATTCTT CTAGGTGTGTTGCAGATAGCCCTCCAAATTCTTTGTAGCACTTCTATAATCCTATCTGTT CCTTCAGCTACTACTATTGCTATAGTATCAAGCAGACTAATAGCACTCTTTTTAAGCTCC CCACCCCAATATTGCACAAGGTTCTTCAGGTACTTAAGAGCTTCCCACCCCCTCTGTAGT CCCCTGAGACTGCTGCGTCCCAGAAGTTCCGCTGCTCTCGCTGCAATCAATATGAAGTCT CTCAATTGGTGGTAGCTGAAAAGGCACAGGCTCCTCAGATCGTCCCAGGCAATCGCTAAG AATCCGTTCACTAATCGAATGGATCTGTCTCTGCCTTGCTCTCCACCTTCTTCTTCGATT CCTCTGAGCCTGTCGAGTTCCCTCGAGTTTGGGGTAAGGGTCTGCAATGACAAAGGTGAG TATCCCTGCCTAACTCTATTTACTATAGAAAGCACAAACAAAATTATTCTCAAACCTATC AAGCCTCCTACTATCATGATGAATATTTTTATATACCACAGCCATTGTGTTATGTTAAAC CAATTCCATAGATCATTCCACTTGTCCAATGCCAATAAATCTTGTTCATTTTTCTCCTGC TGGTTTTGTGATACTTCAAGCAACCTAAATATTGTGTCTGAGTAATTACTAATTTCTCTA TCCCACTGCATCCAGGTCATGTTATGCCAAATATCGTTGTAAGTTTTATTACTCCAACTG GAGTTCCAAGGCACAGTAGTGGTGCAGATGAGTTTTCCAGAGCAGCCCCAAAGTCCTAGG AGCCGTTGATCCTGTAGGTATCTTTCTATAGCCAGGACTCTTGTCTGGAGCTGTTTAATG CCCCAGACCGTGAGTTGCAACATATGCTGTTGCGCCTCTATAGCTCTCAGCAGATTGCTC TGCTGTTGCACTATACCAGACAACAGTTGTCTGGCTTGTACCGTCAGCGTTATTGACGCT GCGCCCATAGTGCTTCCTGCTGCTCCCAAGAACCCAAGGATCAAGGCTCCCATTCCCACT GCTCTTTTTTCTCTCTCCACCACTCTCCTTTTTGCATTAGTGGGTGCTATTCCCAATGGC TTAATTTCTATTACTTTATATTTATATAATTCACTTCTCCAATTATCCTTCATATTTCCT CCTCCAGGTCTGAATATCTCTGTGTTGTTGTCGGGCTCTGTTTTGTTAATCCCTCCATCA CGTGTTAATAGTAGCCCTGTGATACTTGAGTTACATGTTATGTTTCCTGCTATGGGAGGG GCATACATTGCTCGTCCTACCCTCTGCCACATATTTATAATTTGTTTTATTCTGCATGGG AGTATGGTTATGTTTTCTTTTGTCTTTGTTCTATTAAGTTCTGTTTCATTAAACAGGTTT GTTGTATTGCAATAGAAAAATTCCCCTCTACAATTAAAACTATGTGTTGTCACCTCTAGG TCCCCTCCTGAGGATGGTTCAAATGTTATATTTTTATCAGAGAAGTGTTCTCTTAATTTC TCCTTTACCCTTTGTAAAGTGTTGTTCCACTTTGTTGTATTAATGTTACAATGTGCCTTT CTTATGTCTCCTATTATGTCATGTGTATAGAATGATTGTCCTGGTCCTATCCTTATACTT CTTCTTGTATTATTGGCAATTCTTGTACACGTAATGTTTACAGATTCATTAAAGTGTACT ATTATTGTTTTGGTATTGTCTGTCAGATTCTCAGACCTAATTATTATGTCTTCTTCTGCT AGGCTACCATTTAACAGTAGTTGGGTTGATACTACTGGCTTAATTCCATGTGTACATTGT ACTGTACTAACATTCTGGCATGGTCCTGTCCCATTGAATGTCTTATTATTACACTTTAGA ATCGCATAACCAGCTGGAGCACAATAATGTATAGGAATTGGGTCAAAAGTGACCTTTGGA CAAGCTTGTGTTATGGTTGAGGTATTGCAATTTATTAATATAGATTCACTATAATTAGAA TTCCCATTACTCCGTGATACTAGATCCTGTTTATAAAAAGTTGCATACACACTCTGTTTC TTATCTCTTATTCCTGTGGTTGTTTCGAAAGAGCAATTAAATATGTTCTCCTTGTCGGTA ATATTACCTGTCTGGTAGACCTGAGTAGTTGTACCTGTCTGGGTGACATTTGTACAATTT AAAGTGACACAGAGTGGGGTCAACTTTACACAGGGCTTTAGACTTTCATCCCATAAACTG ATTATATCCTCATGCATCTGATCCACCATGTCATTTTTCCACATGTTAAAATTCTCTGTT ATATTTCCCAAAACTAGTTCTTGTGGGTTGGGGTCTGTGGGTACACAGGCATGTGTAGCC CAGACATTATGCACTTCCTTGTCATATGCTTTAGCATCTGATGCACAGAATAGAGTAGTT TTTGCTTCTCTCCACACAGGTACCCCATAATAGACTGTGACCCACATGTTTCCTACCCCT CCACTAATTATTATCCAAAAGCCTAAGATGCCCCATATCCACCATTGTGGATAGTTCCTC TGTATCCCCCTCACTCTCATTGCCACTGTCTTCTGCTCTTTCCCTAATTCTTTTAATTAA GCAGTCTATTTTTCTTTGTCTTACCAATTTCCTATATTCTATATATGCTAAAATCCACAC TACTATTGCTATGATTAGTGCTATTATCAGTGCTCCTACTCCTAGTCTATAATCTACTTC TTCTAGAAAATTTGACATTACATATACTTACTGCTTTGATATAAGATTTTGATGATCCTC ACTGCTTGGAGGAGTGCGTCGTCGCTGACTCCGCTTCTTCCTGCCATAGGAAATGCCTAA GCCTTTTTTCTGAAAGCAAACTAGACAATGGTAGCTACAGTATTTACAATAGCAATTATT ACAAGGAGTATTAGGCTGACTTCCTGGATGGTTCCAGGGCTCTAGGTTAGGATCTACTGG CTCCATTTCTTGCTCTTCTTTGTGGCATAATTCCTATTCTGCTATGTTGGCACCCAATTC TGAAATGAATAAACAGTAGTTGTTGCAGTATTCTTATTAACACTTCAACTCCTGTCCAAG TATCCCCATAGGTCTCATAGATATATTGTCCTAAACTATGGAGCCATGGTCCCGGAAAAT GTCTGACAGCTTCCTGCTTGAGTTCCTCTAAAATTTCTAATGCCCATTCATTGTATGGTT CCCTCTGTGGCCCTTGGTCTTCTGGGGGTTGTTCCATCGATCCTCTACTAATTTTTTAAC ACTAGGCAGAGGTGGCTTTCTCTTTTTTGGCTTTACTAATGCTGCCAGTGCCAAATATTG TAGAGATCCTACCTTCTTGTGTCCTGCTTGATATTCACACCTAGGAATAACTATGTGTCC TAATATGGCTTTCCTTATGGCAGAATCTGCAAAACAATCAAAATAATGCTTATGAATTAG CTGGTCTGCCAGGTCAGGGTCTACTTGTGTGCTATATTCTTTCAATCTCCATTCTATGGA GACTCCATGACCTAAATGCCAAGCTCTTTCTCCTGTTTGCAACCCCCAATATGTTGTTAT CACTAATCTAGCCTCCCCTAATGGTATGTGTACTTCTGAACTTACTCTTGGATTTCTGCT TTCATAATGATGTCTGTAACACCATCTGCCAGTTTTCTTTGTAATATACATATGATGCTT TACTAGGCTATTCCATGTTCTGATCTTCATCCTGTCTACCTGCCACACAATCAGCACCTG CCATCTGTTTTCCATAGTCCCTAATGATTTTTGCTTTCCTCCTTGGTACTACCTTTATGT CACTGTTATCTTGTATTACTACTGCCCCTTCGCCTTTCCAGAGTAGTTTGGCTGGTCCTT TCCAAATGGGGTCTCTGCTGTCTCTGTAATAAACCCGAAAATTTTGAATTTTTATAATTT GTTTTTGTAATTCTTTAGTTTGTATGTCTGATGATATTATGTCTAGTATTCATTCACAAT TTTAAAAGAAAAGGGGGGATTGGGGGGTACAGTGCAGGAGAAAGAATAATAGACATAATA TCATCAGACA >comp0_c0_seq2 len=2648 path=[0:0-811 812:812-2598 2599:2599-2647] CTTTTAAAATTGTGAATGAATACTGCCATTTGTACTGCTGTCTTAAGGTGCTCAGCTTGC TCTCTTACCTGCCCTATGATTTTCTTTAATTCTTTATTCATGGATTCTACTACTCCCTGA CTTTGGGGATTGTAGGGAATCCCAAATTCCTGTTGGACCCCTGCCCACCAACAGGCTGCC TTAACTGCAGCACTGGTGAAATTAGGGCCATTGTCTGTATGTATTACTTTGACTGGCCAT CTTCCTGCTAATTTTAATAGAAAGTATGCTGTTTCTTGTCCTGTTTCTGCTGGGATGACC TCTGCCTCTATGTATCCACTGGCTACATGGACTGCTACTAGGATGACTTTTCCTTCTAAA TGTGTACAATCTAATTGCCATATCCCTGGACTACAGTCTACTTGCCCATGTATGGCTTCC CCTTTTAGCTGACATTTATCACAGCTAGCTACTATTTCTTTTGCTACTATGGGCGGTAGA TTAAATTCATTAGCCATTGCTCTCCAATTACTGTGGTACCTTTCATGATCTTCTTGAGCC TTATCTATTCCATCCAGAAACAGCACTTTCCTGATTCCACTGCTTACTAATTTATCTACT TGTTCATTTCCTCCAATTCCTTTGTGTGCTGGTACCCATGCCAAGTAGACCCTTTCCTTT TTTATTAATTCTTCTATTATTTGGTTTACTAACTCTGATTCACTCTTATCTGGTTGTGCT TGAATGATTCCTAATGCATACTGTGAGTCTGTTACTATGTTTACTTCTGGTCCTGAATCT TGCAAAGCTAGCTGAATTGCTTGTAATTCAGTCTTCTGATTTGTTGTCTCATTTAGAGAA ATAACCTTCTGTCTTCCTCTGTCAGTAACATACCCTGCTTTTCCCTTTTTAGTTTCCCTA TTAGCTGCTCCATCTACATAGAAAGTTTCTGCTTCTGCTATGGGTTCTTTTTCTAGCTGG TACCATAATTTCACTAGGGGAGGGGTATTAACAAACTCCCACTCAGGAATCCAGGTGGCT TGCCAATAGTCTGTCCACCATATGTCCCATGTTTCTTTCTGGATGGGTAGTCTAAATTTA GGAGTCTTTCCCCATATTACTATGCTCTCCAAGGCTATTTTTTGCACTACCTCTGCTAAC TGTTTTACATCATTAGTGTGGGCAGTCCTCATTCTTGCATACTTTCCTGTTTTCAGATTT TTATGTGGTTCTTGGTAAATTTGATATGTCCACTGGCTCATTCCCTGTTTCTGTATTTCA GCTGTTAATTCCTTTGATGGGTCATAATATACTCCATGTACTGGTTCTTTTAGAATTTCC CTGTTCTCTGCCAATTCTAATTCTGCTTCTTCAGTTAGTGGTACTATGTCTGTTAGTGCT TTGACCCCCCTAAGGAGTTTACAAAGTTGTTTTACTTTAATCCCTGGGTATATCTGGCTT GCCCAGTTTAATTTTCCCACTAGCTTCTGTATATCATTGACAGTCCAGCTCTCCTTTTCT GGCAGCTGTATAGGCTGTACTGTCCATTTGTCAGGATGGAGTTCATACCCCATCCAAAGA AATGGGGGTTCTTTCTGATGTTTCTTGTCTGGTGTGGTAAATCCCCACTTCAATAGATGT TCTCTTAGCTCCTCTATTTTTGCTCTATGTTGCCCTATTTCTAAGTCAGATCCTACATAC AAGTCATCCATATATTGATAGATGACTATGTCTGGATTCTTTGCCCTAAAGGGCGCTAGG ATTTTTGTCATGCTACACTGGAATATTGCTGGTGATCCTTTCCATCCCTGTGGGAGCACA TTATATTGATATCTAATCCCTGGTGTTTCATTGTTTATACTAGGTATGGTGAATGCAGTA TATTTCCTGAAGCTTTCATCTAAAGGAACTGAAAAATATGCATCCCCCACATCCAATACT GTCACTGATTTTTTCTTTTTTAACCCTGCTGGGTGAGGTATTCCTAATTGAACTTCCCAA AAGTCTTGAGTTCTTTTATTGAGTTCCCTGAAATCTACTAATTTTCTCCACTTAGTACTG TCCTTCTTTTTTATGGCAAATATTGGAGTGTTATATGGATTTTCAGGCCCAATTTTTGTA ATTTTTCCTTCCTCCTCCATTTCTTTACAAATTGCTGTTAATGCTTTTATTTTTTCTTCT GTTAATGGCCATTGTTTAACCCTTGGCCCATCCATTCCTGGCTTCAGTTTTACTGGTATA GTTTCAATAGGACTAATTGGAAAATTTAATGTGCATCCAAGCTGAGTCAACATATTTCTT CCAATTATGTTGACAGGTGTGGGCCCTACTAATACTGAGCCTATAGCTTTTTTCCCACAA ATTTCTATATGTATTTGATCATATTGTCTTACTTTGATAAAACCTCCAATTCCTCCTATC ATTTTTGGTTTCCATTTTCCTGGCAAATTTATTTCTTCTAATACTGTGTCATCTGCTCCT GTGTCTAAGAGAGCCTCCTTTACCTGGCCCCCTACTTTTATTGAGACAAGGGGTCGTTGC CAAAGAGTGATTTGAGGGAAGTTAAGGGTTCCCTGTCCTTCGGTTCCTGCCTCGGAGTGG GGGTTGTCTCCTGGAACCTAAGGACAGGGAACCCTTAACTTCCATCAAATCACTCTTTGG CAACGACC >comp0_c0_seq3 len=836 path=[0:0-811 9203:812-835] CTTTTAAAATTGTGAATGAATACTGCCATTTGTACTGCTGTCTTAAGGTGCTCAGCTTGC TCTCTTACCTGCCCTATGATTTTCTTTAATTCTTTATTCATGGATTCTACTACTCCCTGA CTTTGGGGATTGTAGGGAATCCCAAATTCCTGTTGGACCCCTGCCCACCAACAGGCTGCC TTAACTGCAGCACTGGTGAAATTAGGGCCATTGTCTGTATGTATTACTTTGACTGGCCAT CTTCCTGCTAATTTTAATAGAAAGTATGCTGTTTCTTGTCCTGTTTCTGCTGGGATGACC TCTGCCTCTATGTATCCACTGGCTACATGGACTGCTACTAGGATGACTTTTCCTTCTAAA TGTGTACAATCTAATTGCCATATCCCTGGACTACAGTCTACTTGCCCATGTATGGCTTCC CCTTTTAGCTGACATTTATCACAGCTAGCTACTATTTCTTTTGCTACTATGGGCGGTAGA TTAAATTCATTAGCCATTGCTCTCCAATTACTGTGGTACCTTTCATGATCTTCTTGAGCC TTATCTATTCCATCCAGAAACAGCACTTTCCTGATTCCACTGCTTACTAATTTATCTACT TGTTCATTTCCTCCAATTCCTTTGTGTGCTGGTACCCATGCCAAGTAGACCCTTTCCTTT TTTATTAATTCTTCTATTATTTGGTTTACTAACTCTGATTCACTCTTATCTGGTTGTGCT TGAATGATTCCTAATGCATACTGTGAGTCTGTTACTATGTTTACTTCTGGTCCTGAATCT TGCAAAGCTAGCTGAATTGCTTGTAATTCAGTTAGCTTTGCAAGATTCAGGACCAG ================================================ FILE: tests/input/TestOrderAndOrient/contigs.influenza.fasta ================================================ >I1-4 GCAAAAGCAGGGGAAATTCAAATCAACCAAGATGGAAGCAAAACTGTTTGTGCTATTCTG TACATTCACTGTACTGAAAGCTGACACCATCTGTGTGGGCTACCATGCAAACAACTCTAC GGACACTGTTGACACAGTATTGGAAAAGAATGTAACTGTGACTCACTCAGTGAATTTGCT CGAAGACAGCCATAATGGGAAGCTCTGCAGTCTGAATGGGATAGCTCCTTTACAATTGGG GAAGTGTAATGTAGCGGGGTGGCTCCTGGGCAATCCAGAATGTGATCTCCTACTCACTGC AAACTCATGGTCCTATATAATAGAGACGTCCAATTCAGAGAACGGGACATGCTATCCCGG TGAATTCATAGATTATGAGGAATTAAGGGAGCAGCTGAGTTCAGTTTCTTCTTTTGAAAA GTTTGAAATTTTCCCCAGGGCAAACTCATGGCCAAACCATGAGACAACCATAGGTGTTAC AGCTGCTTGCTCTTACTCTGGAGCTAGCAGTTTTTATCGAAATTTGCTGTGGATAACAAA GAAGGGGACTTCATATCCAAAACTCAGCAAATCATACACGAACAATAAGGGGAAAGAGGT GCTCGTGCTCTGGGGAGTGCACCATCCTCCGACCACCAGTGAACAACAAAGTCTATACCA GAATACTGATGCATATGTCTCAGTTGGGTCATCAAAGTACAACCGGAGATTCACCCCAGA GATAGCAGCTAGACCCAAAGTTAGAGGGCAGGCAGGCAGAATGAACTATTATTGGACACT ATTAGATCAAGGGGACACCATAACATTTGAGGCCACTGGGAATCTGATAGCACCATGGTA TGCCTTCGCATTAAATAAAGGATCTGATTCAGGAATTATAACATCAGATGCTCCAGTTCA CAATTGCGACACAAGATGCCAAACCCCCCATGGAGCGTTGAACAGTAGCCTTCCTTTCCA GAATGTGCATCCTATCACCATTGGAGAATGTCCCAAATATGTCAAGAGCACCAAGCTAAG GATGGCAACAGGACTAAGAAATGTCCCATCCATTCAATCCAGAGGGCTGTTTGGAGCAAT TGCCGGATTCATTGAAGGAGGATGGACAGGCATGATAGATGGCTGGTATGGGTACCATCA TCAAAATGAACAAGGATCAGGATATGCCGCTGATCAGAAAAGCACACAGAATGCAATTGA TGGAATAACAAATAAGGTGAATTCGGTAATTGAAAAAATGAACACTCAATTCACTGCAGT GGGTAAAGAATTCAACAACCTAGAGAGGAGGATTGAGAATCTGAATAAAAAAGTCGATGA TGGGTTCCTGGATGTTTGGACATACAATGCTGAATTGCTCGTTCTATTGGAAAATGAAAG AACTCTTGATTTTCATGATTCCAATGTGAGGAATTTGTATGAGAGAGTCAAATCACAACT GAGGAATAACGCCAAAGAAATTGGAAATGGTTGCTTTGAGTTCTATCACAAATGTGATGA TGAATGTATGGAAAGTGTGAAGAACGGCACATATGATTATCCCAAATATTCAGAAGAGTC TAAATTGAATCGAGAAGAAATAGACGGAGTAAAACTAGAGTCGATGGGAGTTTACCAAAT TCTGGCGATCTATTCCACAGTCGCCAGTTCCCTGGTCTTGTTAGTCTCCCTGGGGGCAAT CAGCTTCTGGATGTGCTCTAATGGGTCGTTGCAATGCAGAATATGCAT >I1-6 AATGAATCCAAATCAAAAGATAATAACTATTGGGTCAATCTGCATGGTAATTGGAATAAT AAGTCTGGTGCTACAAATTGGAAACATAATCTCAATATGGGTTAGCCATTCAATCCAAAC TGGAAGCCAGAGCCACCCAGAAACATGCAATCAAAGTGTCATTACCTACGAAAACAATAC TTGGGTGAATCAGACATACATCAACATAAGTAATACCAATTTAATTGCAGAGCAGGCTGT AGATCCGGTAGCACTAGCAGGTAACTCCTCTCTCTGTCCAATCAGTGGATGGGCTATATA CAGCAAGGACAATGGTATAAGAATAGGTTCCAAAGGAGATGTATTTGTCATCAGAGAGCC TTTTATTTCATGCTCTCACTTGGAATGCAGGACTTTCTTTCTAACTCAAGGGGCCTTGTT GAATGACAAGCATTCTAATGGAACCGTTAAAGACAGAAGCCCTTATAGAACCCTAATGAG CTGCCCTGTTGGTGAAGCTCCTTCCCCATACAATTCAAGGTTTGAGTCTGTTGCTTGGTC AGCAAGTGCTTGTCATGATGGCATTAGTTGGTTGACAATTGGTATTTCCGGCCCAGACAA TGGGGCGGTGGCTGTATTAAAATACAATGGCATAATAACAGATACTATCAAGAGTTGGAG AGGCAATATATTAAGAACACAAGAGTCTGAATGTGCCTGCATTAATGGTTCTTGCTTTAC CATAATGACTGATGGGCCGAGTAATGGCCAGGCCTCATACAAAATTTTCAAGGTAGAAAA GGGAAAGGTAGTCAAATCAGTTGAGTTGAATGCTCCTAATTACCACTATGAGGAGTGCTC CTGTTATCCTGATGCTAGCGAGGTAATGTGTGTGTGCAGAGACAATTGGCATGGTTCAAA TCGACCATGGGTGTCCTTCAATCAAAATCTAGAATATCAAATAGGATACATATGCAGCGG AGTTTTTGGAGACAACCCGCGCCCTAGTGATGGGACAGGCAGTTGTGGTCCAGTTTCTTC TAATGGGGCATATGGAGTGAAGGGGTTTTCATTTAAATACGGTAATGGTGTTTGGATAGG AAGAACTAAAAGTACTAGCTCAAGGAGTGGGTTTGAGATGATCTGGGATCCTAATGGGTG GACTGAGACAGATAGCAGTTTTTCTGTGAAGCAAGATATTGTAGCAATAACTGATTGGTC AGGATATAGCGGAAGTTTTGTCCAGCATCCAGAACTGACTGGGTTGGATTGCATGAGGCC TTGCTTCTGGGTTGAGCTGATCAGAGGAAGACCCAAGGAGAACACAATCTGGACCAGTGG AAGCAGCATTTCTTTTTGTGGAGTGAATAGCGACACTGTGGGTTGGTCTTGGCCAGACGG TGCTGAGTTGCCATTCACCATTGACAAGTAGTTTGTTCAAAAAACTCCTTG >I1-5 GTAGATAATCACTCACCGAGTGACATCCACATCATGGCGTCTCAAGGCACCAAACGATCT TATGAGCAAATGGAAACTGGTGGAGAACGCCAGAATGCCACTGAAATCAGAGCATCTGTT GGGAGAATGGTTGGTGGAATCGGAAGATTCTACATACAGATGTGTACTGAACTCAAGCTC AGTGACTATGAAGGGAGGCTGATCCAAAATAGCATAACCATAGAGAGAATGGTTCTCTCG GCATTTGATGAGAGGAGAAATAAATATCTGGAAGAGCATCCCAGTGCTGGGAAAGACCCC AAGAAGACTGGAGGCCCAATCTACAGAAGAAGAGATGGAAAATGGATGAGAGAGTTGATC CTATATGACAAAGAAGAGATCAGGAGGATTTGGCGTCAAGCAAATAACGGAGAAGACGCA ACTGCTGGTCTCACCCATTTGATGATTTGGCATTCCAATCTGAATGATGCCACATACCAG AGAACAAGGGCACTTGTGCGTACTGGGATGGATCCCAGGATGTGCTCCCTGATGCAAGGC TCAACTCTTCCAAGAAGATCTGGGGCTGCTGGAGCAGCAGTGAAAGGGGTTGGAACAATG GCGATGGAACTGATCCGGATGATCAAGCGAGGTATCAATGATAGGAATTTCTGGAGAGGC GAAAATGGACGGAGGACGAGAATTGCTTATGAAAGAATGTGCAACATCCTCAAGGGGAAA TTCCAAACAGCAGCACAACGAGCAATGATGGATCAGGTGAGAGAAAGCCGGAATCCTGGG AATGCTGAAATTGAAGATCTCATCTTCCTTGCAAGGTCTGCTCTCATTCTGAGAGGATCA GTAGCTCATAAGTCCTGCCTGCCTGCTTGTGTGTATGGGCTTGCAGTGGCCAGTGGATAC GACTTTGAGAGAGAGGGATATTCCCTAGTCGGAATTGATCCTTTCCGTCTGCTCCAAAAC AGTCAAGTCTTCAGCCTCATCAGACCAAACGAAAATCCAGCGCATAAGAGTCAGCTGGTA TGGATGGCATGTCACTCTGCTGCATTTGAAGATTTGAGAGTGTCAAGCTTCATCAGAGGA ACAAGAGTAGTCCCAAGAGGACAACTATCCACCAGAGGAGTTCAGATTGCTTCAAATGAG AACATGGAGACAATGGACTCCAGCACTCTTGAACTGAGGAGCAGATACTGGGCTATAAGG ACAAGAAGCGGAGGGAACACTAACCAGCAGAGAGCATCTGCAGGGCAAATCAGCGTGCAG CCCACCTTCTCTGTACAGAGAAACCTCCCATTCGAGAGAGCAACCATTATGGCGGCATTT ACGGGAAATACCGAGGGTAGAACTTCAGACATGAGGACTGAGATCATAAGGATGATGGAA AATGCCAGACCTGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAGCTCTCGGACGAA AAGGCAACGAACCCGATCGTGCCTTCCTTTGACATGAGTAATGAAGGATCTTATTTCTTC GGAGACAATGCAGAGGAGTATGACAATTAAAGAAA >I1-7 GATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCTCTCTATCATCCCGT CAGGCCCCCTCAAAGCCGAGATCGCGCAGAGACTTGAAGATGTGTTCGCAGGGAAAAACA CCGACCTTGAGGCGCTCATGGAATGGCTAAAGACAAGACCAATCCTGTCACCTCTGACTA AGGGGATCTTAGGATTTGTGTTCACGCTCACCGTGCCCAGTGAGCGAGGACTGCAGCGTA GACGCTTTGTCCAAAATGCCCTTAATGGGAATGGGGATCCAAACAACATGGACAGAGCAG TCAAACTGTACAGGAAGCTCAAAAGGGAGATAACATTCCATGGGGCAAAGGAGGTAGCAC TCAGTTACTCAACTGGTGCACTTGCCAGCTGCATGGGTCTCATATACAACAGGATGGGGA CTGTGACCACTGAAGTGGCATTTGGCCTGGTGTGTGCCACGTGTGAGCAGATTGCTGACT CCCAGCATCGGTCTCACAGACAAATGGTAACAACAACCAACCCACTAATAAGACACGAGA ACAGGATGGTACTGGCTAGTACTACAGCTAAGGCCATGGAGCAAATGGCAGGGTCAAGTG AGCAAGCAGCAGAGGCTATGGAGGTTGCTAGTCAGGCTAGACAGATGGTGCAGGCAATGA GGACTATTGGGACTCACCCTAGCTCCAGTGCTGGTCTAAAAGATGATCTTCTTGAAAATT TGCAGGCCTACCAGAAACGGATGGGAGTGCAGATGCAGCGATTCAAGTGATCCTCTCGTT ATTGCCGCAAGTATCATTGGGATCTTGCACTTGATATTGTGGATTCTTGATCGTCTTTTC TTCAAATGCATTTATCGTCGCCTTAAATACGGTTTGAAAAGAGGGCCTTCTACGGAAGGA GTGCCTGAGTCTATGAGGGAAGAATATCGGCAGGAACAGCAGAGTGCTGTGGATGTTGAC AATGGTCATTTTGTCAACATAGAGCTGGAGTAAAAAACTACCT >I1-8 CAGGTAGATTGCTATCTATGGCACATAAGAAAGCTGCTCAGCATGAGAGACATGTGTGAT GCTCCCTTTGATGATAGACTCAGAAGAGATCAGAAGGCATTAAAGGGGAGAGGCAGCACA CTTGGACTCGACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNACCGACATGAGCATAGAGGAAATAAGCAGGGAGTGGTACATGCTCATGCCAAGGCAG AAAATAACAGGGGGTCTGATGGTGAAAATGGACCAGGCCATCATGGACAAGAGGATAATA CTCAAGGCAAACTTCTCTGTCCTATTTGATCAACTGGAAACATTAGTCTCACTGAGGGCT TTCACAGACGATGGCGCCATTGTAGCTGAAATATCTCCTATTCCTTCCATGCCAGGACAT TCTACAGAGGATGTCAAAAATGCAATTGGAATCCTCATCGGTGGACTTGAATGGAATGAT AACTCAATTCGAGCGTCTGAAAATATACAGAGATTCGCTTGGGGAGTCCGTGATGAGAAT GGGGGACCTCCACTCCCTCCAAAACAGAAACGCTACATGGCGAGAAGAGTTGAGTCAGAA GTTTGAAGAGATCAGATGGCTAATTGCAGAGTGCAGAAACATATTAACCAAAACTGAAAA CAGCTTCGAGCAGATAACGTTCTTGCAGGCATTGCAACTCTTACTTGAGGTTGAGAGTGA GATAAGGACATTTTCTTTTCAGCTTATTTAGTACTAAAAAAC >I1-2 AACCATTTGAATGGATGTCAATCCGACTTTACTTTTCTTGAAAGTTCCAGCGCAAAATGC CATAAGCACCACATTCCCGTACACTGGAGACCCTCCATACAGCCATGGAACAGGAACAGG ATACACCATGGACACGGTCAACAGAACACATCAATATTCAGAAAAGGGGAAATGGACAAC AAACTCAGAGACTGGAGCACCCCAACTTAACCCAATTGATGGACCACTGCCCGAGGACAA TGAGCCAAGTGGATATGCACAAACGGACTGTGTCCTTGAAGCAATGGCTTTCCTTGAAGA ATCCCACCCAGGAATCTTTGAAAACTCGTGTCTTGAGACGATGGAAGTTGTTCAACAAAC AAGAGTAGACAAATTGACCCAAGGCCGTCAGACCTATGATTGGACATTAAACAGGAATCA ACCGGCTGCAACTGCATTAGCTAATACTATAGAGGTATTCAGATCGAACGGTCTGACAGC TAATGAATCAGGAAGGCTAATAGATTTTCTCAAGGATGTGATGGAATCAATGGATAAAGA GGAAATGGAAATAACAACGCATTTCCAAAGGAAAAGAAGAGTAAGGGACAACATGACCAA GAAAATGGTCACACAAAGGACAATAGGAAAGAAGAAGCAGAGGCTAAATAAAAAGAGCTA TCTAATAAGAGCCTTGACACTGAACACAATGACAAAAGACGCCGAAAGAGGCAAATTAAA GAGAAGAGCAATTGCAACACCCGGAATGCAAATCAGAGGATTTGTATACTTTGTTGAAAC ATTAGCAAGGAGCATTTGTGAGAAGCTTGAACAATCTGGACTCCCAGTTGGAGGCAATGA AAAGAAGGCTAAACTGGCAAATGTTGTGAGGAAAATGATGACTAATTCACAAGATACAGA ACTCTCCTTCACAATCACTGGAGACAACACCAAATGGAATGAAAACCAGAACCCTAGGAT GTTTCTGGCAATGATAACATATATAACAAGAAACCAACCTGAATGGTTTAGGAATGTCTT GAGCATTGCACCCATAATGTTCTCAAACAAAATGGCAAGGCTAGGGAAAGGATATATGTT CGAAAGTAAGAGCATGAAGCTTCGAACACAAATACCGGCAGAAATGCTAGCAAGTATTGA TCTGAAATATTTTAATGAGTCGACAAAAAAGAAAATTGAAAAGATAAGACCTCTTCTAAT AGATGGTACAGCCTCATTGAGTCCTGGAATGATGATGGGCATGTTCAACATGCTAAGTAC AGTTTTGGGAGTTTCGATTTTAAATCTAGGACAAAAGAGGTACACCAAAACAACATACTG GTGGGACGGGCTCCAATCCTCTGATGACTTTGCTCTCATAGTGAATGCCCCGAATCATGA GGGGATACAAGCAGGAGTAGACAGATTCTATAGAACCTGCAAGCTGGTTGGAATCAACAT GAGCAAAAAGAAGTCCTACATAAACAGGACAGGAACATTTGAATTCACAAGTTTTTTCTA TCGCTATGGATTTGTAGCCAATTTCAGTATGGAGTTGCCCAGCTTTGGAGTGTCTGGGAT TAATGAATCTGCAGACATGAGCATTGGAGTAACAGTGATAAAGAACAACATGATAAACAA TGATCTTGGACCAGCAACAGCTCAAATGGCTCTTCAGCTGTTCATCAAGGATTACAGATA CACGTATCGGTGTCACAGAGGAGACACACAAATTCAGACAAGGAGGTCATTCGAGCTGAA GAAATTGTGGGAACAAACCCGCTCAAAAGCGGGACTGCTGGTCTCAGACGGAGGACCAAA CCTATACAATATCCGGAATCTACACATTCCGGAAGTCTGCTTAAAATGGGAGCTGATGGA CGAAGACTATCAGGGAAGGCTTTGCAACCCCCTGAATCCGTTTGTCAGCCACAAGGAGAT AGAGTCTGTAAACAATGCTGTGGTGATGCCAGCTCATGGCCCAGCCAAGAGCATGGAGTA TGATGCTGTGGCTACTACACACTCCTGGATACCTAAGAGGAATCGCTCTATCCTCAATAC AAGCCAAAGGGGAATCCTTGAGGATGAACAGATGTATCAAAAGTGCTGCAATCTATTCGA GAAATTCTTCCCTAGCAGCTCATACAGGAGACCGGTTGGAATTTCCAGCATGGTAGAGGC CATGGTTTCTAGGGCCCGAATCGATGCGCGAATTGACTTCGAATCTGGACGGATCAAGAA AGAGGAGTTTGCTGAGATCATGAAGATCTGTTCCACCATTGAAGAACTCAGACGGCAGAA ATAGTGAATTTTGCTTGTCCTTCATGAAAAAATGCCTTG >I1-1 TATATTCAATATGGAGAGAATAAAAGAACTAAGAGATTTAATGTCACAATCCCGCACTCG CGAGATACTAACCAAAACCACTGTTGACCACATGGCCATAATCAAAAAGTACACATCGGG AAGGCAAGAGAAGAACCCCGCACTCAGGATGAAATGGATGATGGCAATGAAATATCCAAT CACAGCTGACAAGCGAATAATGGAAATGATCCCTGAAAGGAATGAACAAGGGCAAACCCT CTGGAGCAAAACAAACGATGCCGGATCAGACCGAGTGATGGTATCACCCCTGGCTGTAAC ATGGTGGAATAGGAATGGACCAACAACAAGTACAGTTCACTATCCCAAGGTATATAAAAC TTATTTCGAAAAGGTTGAAAGGTTGAAACACGGGACCTTTGGCCCTGTACACTTCAGAAA CCAAGTTAAGATAAGACGGAGGGTCGACATAAACCCGGGCCATGCTGACCTCAGTGCCAA AGAGGCGCAGGATGTAATCATGGAAGTTGTCTTTCCAAATGAAGTGGGAGCGAGAATACT GACGTCGGAATCACAATTGACGATAACAAAGGAGAAGAAAGAAGAACTCCAGGACTGCAA AATCGCCCCTCTGATGGTTGCATACATGCTAGAAAGAGAGTTGGTTCGCAAGACAAGGTT TCTCCCAGTGGCTGGTGGAACAAGCAGTGTCTACATTGAGGTGCTGCATTTGACCCAGGG GACATGCTGGGAGCAGATGTATACTCCGGGAGGAGAAGTGAGAAACGATGATGTAGACCA GAGCTTGATTATCGCTGCCAGGAACATAGTGAGAAGAGCAACAGTGTCAGCAGACCCACT AGCATCTCTATTGGAGATGTGCCACAGCACACAAATTGGGGGAATAAGGATGGTAGACAT TCTCCGGCAAAATCCAACAGAGGAACAAGCCGTGGACATATGCAAGGCAGCAATGGGCTT GAGGATTAGCTCATCTTTCAGTTTTGGTGGATTCACTTTTAAAAGAACGAGTGGATCGTC AGTCAAAAAGGAAGAAGAAGTGCTTACGGGCAACCTTCAAACATTGAAAATAAGAGTGCA TGAGGGGTATGAAGAGTTCACAATGGTTGGAAGAAGAGCAACGGCCATTCTCAGAAAGGC AACCAGAAGGCTGATCCAGTTAATAGTAAGTGGAAGAGACGAGCAGTCAATTGCTGAAGC AATAATTGTGGCCATGGTATTCTCACAAGAGGACTGCATGATTAAGGCAGTTCGAGGTGA TCTGAATTTTGTCAATAGGGCGAACCAGCGGCTGAATCCAATGCATCAGCTCTTGAGACA CTTCCAAAAGGATGCAAAAGTGCTTTTCCAAAATTGGGGAATTGAACCCATTGACAATGT GATGGGAATGATCGGGATATTGCCTGACATGACCCCAAGTACTGAGATGTCACTGAGGGG AATAAGAATCAGTAAGATGGGGGTAGATGAATACTCCAGCACAGAGCGGGTAGTAGTAAG CATCGACCGATTTTTAAGAGTTCGAGACCAACGAGGGAACGTGCTATTGTCACCCGAAGA AGTCAGCGAGGCACAAGGAACAGAGAAACTGACAATCACTTATTCGTCATCAATGATGTG GGAGATTAATGGTCCTGAGTCGGTGTTGGTCAATACTTATCAGTGGATAATCAGAAACTG GGAAACTGTAAAAATTCAATGGTCACAGGATCCCACAATGTTGTATAATAAGATGGAATT CGAGCCATTTCAGTCTCTGGTCCCTAAGGCAGCCAGAGGTCAATACAGTGGGTTCGTGAG GACACTGTTCCAGCAGATGCGAGATGTGCTTGGAACATTCGACACTGTTCAGATAATAAA ACTCCTCCCCTTTGCTGCTGCCCCACCGGAACAAAGTAGGATGCAGTTCTCCTCCCTGAC TGTGAATGTGAGAGGATCAGGAATGAGAATACTGGTAAGAGGCAATTCCCCAGTGTTCAA TTACAACAAGGCCACCAAGAGGCTCACAGTTCTCGGGAAAGATGCAGGTGCATTGACCGA AGATCCAGATGAAGGCACAGCTGGAGTGGAGTCTGCTGTTTTAAGAGGATTCCTCATTTT GGGCAAAGAAGACAAGAGATATGGCCCAGCATTGAGCATCAATGAGCTGAGCAATCTTGC AAAGGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTGGTGTTGGTGATGAAACG GAAACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACCAAAAGAATTCGGATGGC CATCAATTAGTGTCGAATTGTTTA >I1-3 CAAAATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAA GGCAATGAAAGAATATGGGGAAGATCCGAAAATTGAAACTAACAAGTTTGCTGCAATATG CACCCACTTAGAAGTCTGTTTCATGTATTCGGATTTTCATTTCATCGACGAACGGGGTGA ATCAATAATTGTAGAATCTGGTGACCCAAATGCATTACTGAAGCACCGATTCGAGATAAT TGAAGGAAGAGATCGAACCATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACAGG GGTAGAGAAGCCTAAATTTCTTCCGGATCTGTATGACTACAAGGAGAACAGATTCATTGA AATTGGGGTGACACGGAGGGAGGTTCACATATACTACCTAGAAAAAGCCAATAAAATAAA ATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAGGAAATGGCCACCAAAGC GGACTACACCCTTGATGAAGAAAGCAGAGCAAGAATCAAAACCAGATTGTTCACCATAAG ACAAGAAATGGCCAGTAGAGGTTTGTGGGATTCCTTTCGTCAGTCCGAGAGAGGCGAAGA GACAATTGAAGAAAGATTTGAAATTACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCT CCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAA CGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCAAGAATTGAACC ATTCTTGAAAACAACACCACGCCCACTCAGATTACCTGATGGGCCTCCTTGTTCCCAGCG GTCAAAATTTCTGTTGATGGATGCTCTGAAACTAAGTATTGAGGACCCGAGTCATGAGGG GGAGGGAATACCGCTATATGATGCAATCAAATGCATGAAGACATTTTTTGGCTGGAAAGA ACCTAACATAATCAAACCACATGAGAAAGGCATAAACCCCAACTACCTCCTGACTTGGAA GCAAGTACTAGCGGAACTCCAAGACATTGAGAATGAAGAGAAGATCCCAAAGACAAAGAA CATGAAGAAAACAAGCCAACTGAAGTGGGCACTTGGTGAAAATATGGCACCAGAGAAAGT AGACTTTGATGATTGCAAAGATATTAGTGATCTTAAACAGTATGACAGCGATGAGCCAGA ACCTAGGTCGCTAGCAAGCTGGATCCAAAGTGAATTCAACAAGGCATGTGAATTGACCGA TTCAAGCTGGATGGAGCTTGATGAGATAGGGGAAGATGTTGCCCCGATCGAACACATTGC AAGCATGAGGAGAAACTATTTTACAGCAGAAGTGTCCCATTGCAGGGCTACTGAGTACAT AATGAAGGGAGTGTACATAAACACAGCCTTGCTCAATGCATCTTGTGCAGCCATGGATGA CTTCCAGCTGATCCCAATGATAAGCAAATGTAGAACCAAAGAAGGGAGACGGAAAACAAA TCTGTATGGATTCATTATAAAAGGAAGGTCTCATTTGAGAAATGACACTGACGTGGTAAA TTTTGTGAGTATGGAGTTCTCTCTCACAGACCCGAGACTGGAGCCACACAAATGGGAAAA GTACTGTGTTCTCGAAATAGGGGATATGCTCTTGAGGACTGCGATAGGCCAAGTGTCACG ACCCATGTTCCTATATGTGAGAACCAATGGAACTTCAAAGATCAAGATGAAATGGGGGAT GGAAATGAGGCGCTGCCTTCTCCAATCCCTTCAGCAGATTGAGAGCATGATTGAGGCCGA GTCTTCCGTCAAAGAGAAAGATATGACAAAGGAATTCTTTGAGAACAAATCAGAAACATG GCCAATTGGAGAGTCACCCAAGGGAGTGGAAGAAGGCTCTATTGGGAAAGTATGCAGAAC CCTACTGGCAAAGTCTGTATTCAACAGTCTATATGCATCTCCACAACTCGAGGGGTTTTC AGCTGAATCGAGAAAATTGCTTCTCATTGTTCAGGCACTTAGGGACAACCTGGAACCTGG GACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTG GGTTTTGCTCAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTGAAATAGTTGTG GCAATGCTACTATTTGCTATCCATACTGTCCAAAAAAGTACCTTGTT ================================================ FILE: tests/input/TestOrderAndOrient/contigs.lasv.fasta ================================================ >comp1_c0_seq1 len=3441 path=[0:0-1842 3476:1843-1879 1843:1880-3145 3161:3146-3440] ATGTCTGCTGAAATGACAAAAGCACAGTGGATCCTAGGCTATTGGATTGCGCTTTGCTTT TGTCATTTCAGCAGACATTCTCAGCCTCTTGTTGCGTGCATTTAACACAACAATCTGGCG ATGAGTGCCTCAAAGGAAATCAAATCCTTTTTGTGGACACAATCTTTGAGGAGAGAACTA TCTGGTTACTGCTCCAACATCAAACTACAGGTGGTGAAAGATGCCCAGGCTCTTTTACAT GGACTTGACTTCTCTGAGGTCAGCAATGTTCAACGGTTGATGCGCAAGGAGAGAAGGGAT GACAGTGATTTGAAACGATTGAGAGACCTAAATCAAACAGTCAACAATCTTGTTGAATTA AAATCAACTCAACAGAAGAGTATACTGAGAGTTGGGACTCTAACCTCAGATGACTTATTA ATCTTAGCCGCTGATTTAGAGAAGTTGAAGTCAAAGGTGATCAGAACAGAAAGGCCATTG AGTGCAGGTGTCTATATGGGCAATCTGAGCTCACAGCAACTTGACCAAAGAAGAGCTCTT CTGAATATGATAGGAATGAGTAGTGGTAATCAAGGGGCTCAGGCTGGGAGAGATGGAGTG GTAAGAGTTTGGGATGTGAAAAATGCAGAGTTGCTCAATAATCAGTTCGGGACCATGCCA AGTCTGACACTGGCATGTCTGACAAAACAGGGGCAGGTTGACTTGAATGATGCAGTACAA GCATTAACAGATTTGGGTTTGATCTACACAGCAAAGTATCCCAACACTTCAGACTTAGAC AGGCTGACTCAAAGCCACCCCATCCTAAATATGATTGACACCAAGAAAAGCTCCTTAAAT ATCTCAGGTTACAATTTTAGCTTGGGTGCAGCTGTAAAGGCAGGAGCTTGCATGCTGGAT GGTGGCAATATGTTGGAAACAATCAAGGTGTCACCTCAGACAATGGATGGTATCCTCAAA TCCATCTTAAAGGTCAAGAAGGCTCTTGGAATGTTCATTTCAGACACCCCTGGCGAGAGG AATCCTTATGAAAACATACTCTACAAGATTTGTTTGTCAGGGGATGGATGGCCATATATT GCATCAAGAACTTCAATAACAGGAAGGGCCTGGGAAAACACTGTCGTTGATTTGGAATCA GATGGGATGCCACAGAAGGCTGGTAGCAGCAGTTCCAATAAATCCCTGCAGTCGGCAGGG TTTGTCGCTGGGCTTACCTATTCTCAGCTGATGACCCTCAAAGATGCAATGCTGCAACTT GACCCAAATGCTAAGACCTGGATGGATATTGAGGGAAGACCTGAAGATCCAGTGGAAATT GCCCTCTATCAACCAAGTTCAGGCTGCTACATACACTTCTTCCGTGAACCTACTGATTTA AAGCAGTTCAAACAAGATGCTAAGTACTCACATGGTATTGATGTTACAGACCTCTTCGCT GCACAACCGGGCTTGACCAGTGCTGTTATTGATGCACTCCCCCGGAATATGGTCATTACC TGTCAGGGGTCCGATGACATAAGGAAACTTCTTGAATCACAAGGAAGAAAGGATATCAAA CTAATTGATATTGCCCTCAGCAAAGCTGATTCCAGGAAGTATGAAAATGCAGTCTGGGAT CAGTATAAAGACCTATGCCACATGCACACAGGTGTTGTTGTTGAAAAGAAGAAAAGAGGC GGCAAGGAGGAAATAACCCCTCACTGTGCACTAATGGACTGCATCATGTATGATGCAGCA GTGTCAGGAGGACTGAACACATCAGTTTTGAGAGCAGTGCTGCCCAGAGATATGGTGTTC AGAACATCGACACCCAGAGTCGTCCTGTAAATGGACGCCCCCGTGACCCACCGCCAATAG GCGGTGGGTCACGGGGGCCCTGACAAGGGTCTCATCTCTTCCATTTTACAGGCACACCAG GCTGTTTGTAGAGTCCACAAGAACATATGCCCATGTGATTCAGTCTGTGAGGTTTGGGAC ACGACTTGCCTACAACATGCCTATGAGTTGGTATTTTGACCAGGTGGAGGAAGATGCTAA TGAGATAGAAACTTGTGCTGAACACAAAGAGGTCAACCAGGCCCAATGGTGTCTTCCCCT GCCTCTCCATGTACTCCTTCTGTAACATCTCAGTGATCATGTTGTCAGCTTGTTGTTCAA TATCATCAGAAAAGTGAGTCTCGTTCAAGTACGAACCATTTGATACAAGCCAACATTTGG GCAGTGATGTTTTCCCAGTAGTTGTGTGGTTGAGGTACCAATACTTGCTGTAATTACAGT ATGGAATTCCCATGATGTCCCGCAGGTGGTTCTTCATTATGAGTTGGTCATTTATTAAAG CATTTACTGCTTTGTTGATCAACTGAATGCTCATTTGTGCTTCAGCTTTCAACCTTTGAA TGGCTTGTTTATTGAAGTCAAACAGCCTCAGCATGTCACAAAACTCCTCATCATGTTTCT CATTACATTTTGCTACAGCTGTGTTCCCGAAGCATTTTAGTTCAGCCTCAATTAGCATCC ATCTGGTCAGACAATATCCCCCTGGTGCGTCATTGCCTTCAGAATCTGATAGTGTCCATG TGAATGTGCCTAGTAGTCTTCTGCTAATGTAAATATCTCTGGTCCTTTGTGAGAGGAGCC CAAGGTAACCGATAGGAGATGGTCTCGAGAATTGGCAGTGATCTTCCCAGGTTGTATTTT GGATTATTAAATATTGATAACTAGTCATGATACAGTCCCAATTACCATGACCTGAGTCAA GAGCAATGTAGCTCCCACCCCAAGCCATCCTCATGAAAGTCTGCAATACACCATTTGCAA CAGTGCCACAATGGTTGGCTGCATCTACAGCATAGCTATGACTCAAGTTGTACTGCACAC TAATTTTTCCCCCATTAAAATCGCAGCTCATCGCCTCATACTGATTGAAGTTGGGGATGG ACAAGTGGAAAGTTGAGATTATGCTCATAAGAGCGTGGTCATAGAGGTTCTTTTTGTGGG CATCAGACAGATTACAAAATTTATGATTAATAATGCTCGTGTTAGTCAAGGTCAGTTCTA GTCCTGTCTCATTGCCCACCCTTATATAATGATGACTGTTGTTCTTTGTGCAGGAGAGAG GCATGGTCATATTGAGTGTCTCCATGTTTAGTTCCAGAGTCTGGAGCTCATAAACCCCTT TATAGAGGCTGGTTGTGCAAGACTTACCACACAACAGGAGGAAAGTGACCAAACCAACAA GGCCACATGTTGCAATGTTGTACAGACCTTTCAACACTGCCAGTATAGACAGTGTAATGA GAACAATGTTCATCACCTCTTCTATTACATGAGGCACTTCTTGGAAGAATGTCACTATTT GTCCCATTTTAAATAGGACACTTGAATTGCGCAACCAAAAATGCCTAGGATCCCCGGTGC GCAATTCAAGTGTCCTATTTA >comp1_c0_seq2 len=3404 path=[0:0-1842 1843:1843-3108 3161:3109-3403] ATGTCTGCTGAAATGACAAAAGCACAGTGGATCCTAGGCTATTGGATTGCGCTTTGCTTT TGTCATTTCAGCAGACATTCTCAGCCTCTTGTTGCGTGCATTTAACACAACAATCTGGCG ATGAGTGCCTCAAAGGAAATCAAATCCTTTTTGTGGACACAATCTTTGAGGAGAGAACTA TCTGGTTACTGCTCCAACATCAAACTACAGGTGGTGAAAGATGCCCAGGCTCTTTTACAT GGACTTGACTTCTCTGAGGTCAGCAATGTTCAACGGTTGATGCGCAAGGAGAGAAGGGAT GACAGTGATTTGAAACGATTGAGAGACCTAAATCAAACAGTCAACAATCTTGTTGAATTA AAATCAACTCAACAGAAGAGTATACTGAGAGTTGGGACTCTAACCTCAGATGACTTATTA ATCTTAGCCGCTGATTTAGAGAAGTTGAAGTCAAAGGTGATCAGAACAGAAAGGCCATTG AGTGCAGGTGTCTATATGGGCAATCTGAGCTCACAGCAACTTGACCAAAGAAGAGCTCTT CTGAATATGATAGGAATGAGTAGTGGTAATCAAGGGGCTCAGGCTGGGAGAGATGGAGTG GTAAGAGTTTGGGATGTGAAAAATGCAGAGTTGCTCAATAATCAGTTCGGGACCATGCCA AGTCTGACACTGGCATGTCTGACAAAACAGGGGCAGGTTGACTTGAATGATGCAGTACAA GCATTAACAGATTTGGGTTTGATCTACACAGCAAAGTATCCCAACACTTCAGACTTAGAC AGGCTGACTCAAAGCCACCCCATCCTAAATATGATTGACACCAAGAAAAGCTCCTTAAAT ATCTCAGGTTACAATTTTAGCTTGGGTGCAGCTGTAAAGGCAGGAGCTTGCATGCTGGAT GGTGGCAATATGTTGGAAACAATCAAGGTGTCACCTCAGACAATGGATGGTATCCTCAAA TCCATCTTAAAGGTCAAGAAGGCTCTTGGAATGTTCATTTCAGACACCCCTGGCGAGAGG AATCCTTATGAAAACATACTCTACAAGATTTGTTTGTCAGGGGATGGATGGCCATATATT GCATCAAGAACTTCAATAACAGGAAGGGCCTGGGAAAACACTGTCGTTGATTTGGAATCA GATGGGATGCCACAGAAGGCTGGTAGCAGCAGTTCCAATAAATCCCTGCAGTCGGCAGGG TTTGTCGCTGGGCTTACCTATTCTCAGCTGATGACCCTCAAAGATGCAATGCTGCAACTT GACCCAAATGCTAAGACCTGGATGGATATTGAGGGAAGACCTGAAGATCCAGTGGAAATT GCCCTCTATCAACCAAGTTCAGGCTGCTACATACACTTCTTCCGTGAACCTACTGATTTA AAGCAGTTCAAACAAGATGCTAAGTACTCACATGGTATTGATGTTACAGACCTCTTCGCT GCACAACCGGGCTTGACCAGTGCTGTTATTGATGCACTCCCCCGGAATATGGTCATTACC TGTCAGGGGTCCGATGACATAAGGAAACTTCTTGAATCACAAGGAAGAAAGGATATCAAA CTAATTGATATTGCCCTCAGCAAAGCTGATTCCAGGAAGTATGAAAATGCAGTCTGGGAT CAGTATAAAGACCTATGCCACATGCACACAGGTGTTGTTGTTGAAAAGAAGAAAAGAGGC GGCAAGGAGGAAATAACCCCTCACTGTGCACTAATGGACTGCATCATGTATGATGCAGCA GTGTCAGGAGGACTGAACACATCAGTTTTGAGAGCAGTGCTGCCCAGAGATATGGTGTTC AGAACATCGACACCCAGAGTCGTCCTGTAAATGGACGCCCCCGTGACAAGGGTCTCATCT CTTCCATTTTACAGGCACACCAGGCTGTTTGTAGAGTCCACAAGAACATATGCCCATGTG ATTCAGTCTGTGAGGTTTGGGACACGACTTGCCTACAACATGCCTATGAGTTGGTATTTT GACCAGGTGGAGGAAGATGCTAATGAGATAGAAACTTGTGCTGAACACAAAGAGGTCAAC CAGGCCCAATGGTGTCTTCCCCTGCCTCTCCATGTACTCCTTCTGTAACATCTCAGTGAT CATGTTGTCAGCTTGTTGTTCAATATCATCAGAAAAGTGAGTCTCGTTCAAGTACGAACC ATTTGATACAAGCCAACATTTGGGCAGTGATGTTTTCCCAGTAGTTGTGTGGTTGAGGTA CCAATACTTGCTGTAATTACAGTATGGAATTCCCATGATGTCCCGCAGGTGGTTCTTCAT TATGAGTTGGTCATTTATTAAAGCATTTACTGCTTTGTTGATCAACTGAATGCTCATTTG TGCTTCAGCTTTCAACCTTTGAATGGCTTGTTTATTGAAGTCAAACAGCCTCAGCATGTC ACAAAACTCCTCATCATGTTTCTCATTACATTTTGCTACAGCTGTGTTCCCGAAGCATTT TAGTTCAGCCTCAATTAGCATCCATCTGGTCAGACAATATCCCCCTGGTGCGTCATTGCC TTCAGAATCTGATAGTGTCCATGTGAATGTGCCTAGTAGTCTTCTGCTAATGTAAATATC TCTGGTCCTTTGTGAGAGGAGCCCAAGGTAACCGATAGGAGATGGTCTCGAGAATTGGCA GTGATCTTCCCAGGTTGTATTTTGGATTATTAAATATTGATAACTAGTCATGATACAGTC CCAATTACCATGACCTGAGTCAAGAGCAATGTAGCTCCCACCCCAAGCCATCCTCATGAA AGTCTGCAATACACCATTTGCAACAGTGCCACAATGGTTGGCTGCATCTACAGCATAGCT ATGACTCAAGTTGTACTGCACACTAATTTTTCCCCCATTAAAATCGCAGCTCATCGCCTC ATACTGATTGAAGTTGGGGATGGACAAGTGGAAAGTTGAGATTATGCTCATAAGAGCGTG GTCATAGAGGTTCTTTTTGTGGGCATCAGACAGATTACAAAATTTATGATTAATAATGCT CGTGTTAGTCAAGGTCAGTTCTAGTCCTGTCTCATTGCCCACCCTTATATAATGATGACT GTTGTTCTTTGTGCAGGAGAGAGGCATGGTCATATTGAGTGTCTCCATGTTTAGTTCCAG AGTCTGGAGCTCATAAACCCCTTTATAGAGGCTGGTTGTGCAAGACTTACCACACAACAG GAGGAAAGTGACCAAACCAACAAGGCCACATGTTGCAATGTTGTACAGACCTTTCAACAC TGCCAGTATAGACAGTGTAATGAGAACAATGTTCATCACCTCTTCTATTACATGAGGCAC TTCTTGGAAGAATGTCACTATTTGTCCCATTTTAAATAGGACACTTGAATTGCGCAACCA AAAATGCCTAGGATCCCCGGTGCGCAATTCAAGTGTCCTATTTA >comp0_c0_seq1 len=6906 path=[0:0-1456 1457:1457-6905] GTGATGGTTGGCTCCCCCGGGGGGACCCCCCGCCGGGGGCCCCCCCGGGGGAGCCAACCA TCACCAAAAGACTACTCAATGTCCTCGATACATTCATCTTTCCTAGTCAACTCTTCACAT GTTCTGCCCTTCAGTCTCAATTTACCACTACTTGACTGTACCATCACCTTCCCCCTTGAC TTACTGTAACAGAGAGCGTAACCCTTGAACTCCACCCAATTGTCCACTGCCTCAAGAACC GCACTCAAGATCCCCTCACAACTCGGCGCTGCAGCCCTAAGTGTGGAGATGATGTCCACC CCTGACCACTGCATCCTTAATCCCAGCCTATCTATCATCATATCACTCAGTGCCCCAATC AGCAGGTCAGACGAAGTGTCCCCAACCTCTCTCACAAACACCTCAAGATCCTGGTCTTGT ATAACAGGTGTAAAGGATGCTAACCTCCTTCCACATTCCCACAAGCCACCTCTATGCACA ACCAGAGGGGCTGGTTCAGTGCAAGGACCCACCAATACAAAGTCATACTCCGTAAACTGC AACTTTTCCATATCAACAACAATCTCAACAGGGGTCACATGCCCCAGTTGATTTGTATCA ACCAAAAACTCATTAATGATTTCGGTGTCAACATACCATGCTGATTTGCCCTTGAAAGTG GGTCCTGACAAAACCAGTCTCCAGCAGTCTGACAAAACACACGGATTCACTGCACCTGAG TACATAACGGTTACATCATGTACTAAATACTTGGCTTGTTGACTCATTGAGCCAGTATAC TCCAGGTGGATGGCAAAGCTTTCCTTGAAACTAGCATCTTGACTTTTGACACGGAACCTC ACTGTCTGACTCAATTTTGCAGACCCTGAAGGTAGTGAAGCTACGGCATCAAAGAAATCC TCCAATGAGTCAAACTTGAGATCAACTAAACCAGATGCGATCAATTGATTTTGGTTGAAT CTAGCTGGCTCAATATCAAAGTCTATCCAAGCATAACCCATCATCAGATCATGTTTGTAC ATTGGCCTTTCAACACCTTTGTGAATAACTTTCTCTACAAATGAGGAAAATGGACCCATT CTATGCAACCCTTCACCCTCTGGAACTGATGTCTTGTGTGGAAACCACGTGAAGGACCCC AATGTTCTTGTAGTCGCAACAAATGGCCTCACATAAGACTCAAAATAAATTTGCCTCATG AAATTGTCAACAGCATCGCTAGTGCTCACTACTCTTTCTTCCACCATAGGCTCATGTGTC CTACTATGAGATAGCCTCAGCTCAGATGACAACACAATGTAATGTTCCTCCCTTTTCCAT TTTACTATATGTGAGACAAGAGACAAGGCTTCACAGTTAACATCCAACGCTACACAGAGA TCTAGAAATTTTATTCTGGGTGACCACTTCATTTTAGTTGACGCTAGATCGCTCATGAAT GGTAATATGTGTTTTTCAAACACTGATGGGTACAGCCTCCTTAAAGAATGAATGATGTGA TTCAAACCAACCCTATCCTCTAATAGTTTTGACGCAGTTGGCTTTAAGGGGAAATAGTCA CAGGGGTTATGCTTGAAAAAATCCAACACCTTAACTGTCTTAGGTTCCCCTAAGACCCAT GCACCCAGTTCTATTGCAGTTGATAATGATATGCACATATAATCCCATAACAAGGGTCTG AAATAACTAATGACATCATCATTTCCACTTCCATTTCTTAGTTCTAACGGAACCTGCCAA TATTGAATACCATTAGAATTTGTCAACAATTTGATTCCCTTAACATCAGAAATCAGAGAC TGAATGGACTTAATATACAGATTCTCTTTATTTGGTCCCCGAACACATTTGCTACCCAAT GTTCTGCATAATCCCACAAAGCCAGATGCAATGGAACTTTGGAATGCAGATTTGTTAATA GCTTCAGACAGCAATTTTTGCGCACCTCGAGTAAAAGTGGAAGACAACTTATTTTGGATT GTTTTGACAATGGTAGGAATCTTCTCATCATCTAGGTTCACAGCACCTGAATATATTATC TTTTGTCTCAACACCATTCTTAAAGGATGATGTGCGGCTAAGTTTAACCAAGAGTACTCA AGGTCAGACTCAGATGGAGATTCAACACCTAACAGCTCACAAAGATTTCTTAGTGAAGAG AGGTGCTCACTAGACAAATAGTTTGTTGTAAACTCTTCATGGAGTTGCCCAGTCTTCAAC CTATTGTACAGTTTTCTTAACATAGATCTAATCTTGCTGCAAGCGTTGGGAATCAATCCC TCTATTTGTCTCATGATTCTATAACTACGGTTGCCATCCACCCAATCTCTAACATCTGTC TCGCAATTCAATAAAAATGGGTCAATAGGGTATCTTGCATATTGCAAAAGACTTAAGGTT CTTTTCTGTATTAGATTGCATAAGTGAACAGGGACACCATTTGCAACCGACTGATCAATG ATTGTGTCAATTGTTTCTGCCAGTTGGTGTGGCTCTTTACACTTTATATTGTGAAGAGCT GCTGCAACGAACTTTGTCAACAATGGCACCTCATCTCCCCAAACAAAAAATCTAGATTTA AACTCAGCAACAAACCTGCCAATAACACTTTTAGGGCTCACAAACTTATTGAGTTGATCA CTCATATAATAATGGAACTCTATTAGAGTCCTAAATTCTTCTGGGTCCCTCTGCAAAAGC TCTGTGAGAGATTGATCAAAGAGAGAAATTTGATCATCACTAGAGGTATAAGCATCTATA GTACCACCACATATACAACTGATAGCATAATTAATGAACCTCTCTGAAATAAGGGCATAA AAATCTGATGTGTTGTGTAATATTCCCTGACCCATGTCAAGTATTGAACTAATGTGAGAA GGCACTACACCGACTTGGAAATTAGAGTAAAAGAAATCTTCTGTTATTGACTGTTTAGTT TTCTTCCTTAACCCTAGTTGAGCTTTAATGAAAGACTTCATCATGGCTGTCACCACATTA AAAGGTATTTCCACCATTTTGTGCATATGCCACATGAGTAGGGTTGAAAGATAGTCCCTC CCTTTTATGTCAGCTTGCAAGTCCCTTGAGAGGAAAATCAAATTCTGTAAGACAGTCAAG AACAAAAATGGACACATCATTGGGCCCCACTTACTATGATCCATGCTATAGGACACATGC GCTAATGAAACATTCAATTTCATGGAGAGGATAGCATTCTCAAACTCCTTCTCGTTGTTC AAGCAACTCCCTGACAACTGTAGGCTTATAGCTTCAAAGTAATCTTCTATAAGTCTAGTA AACATCTTTGTTCTAAGATCACCAATATATAGTTCTCTGTTGCCACCCACTTGTTCTTTA TATGACAAAGAGAACTTAAGCCTTCCTGTATCAGGTCCCACTGAGTCATAAGATTGTGGC GACTCTTGGCTATAAAAACACAAATTCTTTAACATTGCTGTGGTACAGTTTGTCAGTGAC AGAGCCTTACTAAGTGCCTCTGAGTTGCTCTCCCTTTCACTAATTCTCACATCATCAGAG AGTTTACCCATGTCAAACTTGAAATTAAGGTTCCTTGACTTATAATGAGTGTACCTCCCC ATAAGTGCATTTGCATTCATGATCAAGAGTATGGACTTAAAACACTGAAAGTATTCATGG TTAAAGTATGTCCTTGTTGATACTGCCTTTGTCAACTCTCCAATAGGACACTGTGACATA TGTCCACAGTAAAAATACTTCTCCTTCAATCTACTATTCTCATAGACAGCATTACAGAAT TCTTCATAAAATTTACCTGGTAAGATATCATAATCAAAATCCTCAACCATGTGATTAGAT AATTCACCCTTAATCAACCTAATGTAAAACTTATTTGAGACAATCTCATCTAGATCATTT ATTGACGGTTGGCCATCACCATTAGGGCCTGAGCCTGGCTTGGTGGGTTCCCTATACTGA TCGACAATTTTTTCAACAGTCTCTTTTAGCTGATCAAAATAATCGCTTGCACCTCCATCG AGCAAAATTTCATCTAGGTCAGCTCCATCAACATCACTTTTGAGCTGCCCAGATCCTAGA ACCAAATTGCTCATTGCCTGCTGAACTTTGTATTCATAGTCCTGCTTGTTGAGAAGGTAC TTTCCTTTTCTTGAGAAGACTTCAGTGAGCTGCGACACGGCCAGTGCTGTGAGCTTATTG AAGTCATAGTTTAATATTCTAGAACCATCTGTGTACTTATTAACAACAACACTTTTGTTG CTGGCTAAATCCAAGGCAGTGGCACAGCCACTGGTGATGAGAGGATCTTTGATTTCCCTT TTTACTTCCCTCTCCTTAAATAGTGAACCATTGTTGAAAGAAGACGTAAGAAGGGACAAA TACTTCTTTGAAACACCAGGCCTTTTATAGTCTGGTCCCTCGACACTTGTGCATCCATCT TTACTTAAAAACTTTTTTGCATTATAGACCATGTCGTCCAATTCTTCCTCGGTAGCTGTA TCTGCAGGGTTAGTGCTCACATGACCAAATTTCACCTTTGGTTCCAAAAACTTCTCAAAA CATTTTATCTGATCTGTTAATCTATCTGGTGTTTCTTTCGTAATGAAGTGGCACATGTAA GAAATATTCAAAATGAACTTGAACCTATTGGTCATCATGCTCTTCACATCTTCAGATAAA ACTAAACTCATTAATGTCCTTATTAACCTATAGAGCAGGAACTCAACATCAGTGATTAAT TCTTCCCTTATTTTGTCAACGAGGTCCTTATGATGATAATCTGACACATAAGCCATTACA AAATACCTAAGATTTTGGAGGAGCTTTTGAGAACGTTTACTGGGGTGAGCTAAAATTAAA ACCAGGATCATCTTTGTCAAAAACTTTATGTTGTTCAACTGCCCTTCCAGCTCACTGCAA TCTTCTATCCAAGAAATCATAGTGCTTATTGTTGTCTGTAAAACCTCAGCTGAAAATATT GCTGGAAAATATCTTTTAGGATCAGCGTAAAATGAGCACACCTCACCAACTTTGTTATCA TTAATAGCATAGCACTTCGAGCATTCCCCTGTTTTTTGATAAATCAGTTGGAATTCAGAG TTTCCTAATGAAAACTCTTGACAATATGCTTCTTTGCATCTGACCACCTGATACCTTGCG GGTCCAAACTCATTCTGCCTCAATTTTACGGTAGAAGAAGTTTTCATAGAGTTCACCAAG GCGAGGCTCAATGAAGAAAGTCTCTCTAAGTCAGTGGTTCCCAGTAGTTCCACATCCCCC ATCACATAAGGGAATGTTTCTTCCTCTGTTCTCTGATAACTGATTGTGGGAACAATTCCG GAGACATCAAAATCCATAATCAAATCATAACTATTAAGGCAAACCACCTCCATGTCAATT TTATAGTGGTCTACACTGATTCCAACATCCTCTAAAGCAGTGGTGGCCTTCAAAATGGTT TTCTGGAATATTGAATTGAGAATTTGGTTCTTACTCAAACACTGGGAGGACTGTGTGTTT CTAGATCTCTCAGCCTGTTGCCTCCGCTCAACCCATTTCTCAAGATCCCTTTTTGTTGAC TCTAAAGAAACTAGTCTATCATTTACACTTAAGAAGCAAGACCCCAACCACCCTTTTAAA CACTTTTGTTTCATTAGGTCATACTTGCTTGCAAGGAGAATTAATGCATCAAAAATTAAT AGAAGTTTCCTCCTTGTGTTCAATATCCTCAAAGATTTTACTTTATTCAGGAATGATCTC CAGCATTGAACCTGACATTCTCCAATGGTTTGGTTTTCCCTCTTTTCATTCCCCTCCTCA ATGTTTGCATACAGAAATCTCAATATTGGTGATGCTCTCTTGAACTGATAAATCAAGTGT TCGATATTGTCTTCTGCAGCTACCTTATCAGCGTACAAATTATTAAGTTCATTAAGTAAT TGGTTCTTATCAACCTTCAGAAACTGACCTTCTATCTCTCCTTTCCTCAATCTGTTCCTA AACACTTGATACTCCTCTTCGATCTGCAGCTTTACCTCATGGGCTGTTAACTTATTATTG ATGCCTTGATGGCATGAGGCAATCACTTCCTCATAATGATTGGAGCGATTGTCCATCAGA ACATTTAAACTCTCCACCCCTGATAATCTACCCGAAGTCATGGATAAAGATTCACAGAGT CTACTATACTCTGATTCTTCAAAAAGTGAATTACTCTCCTGTGCATACTTTAAAAGTGAA AAGAGCGTATCCCTCAACTTGTCATTGACCCAGTCAGGTATTTGTTCATTGTAGAATGAT GTCCTCCCGTCTATGAGTGGTATTAAATTGATATCGACACTCTTCAAGTCTTCTTTCAAT TGCTCTAATTTTTTGAAGTCCTCAATGTACTTCTGCTCAAAGTTAGCAGGAGATGACCTA ACAAAACACTCCAGCAGTATTAGAACATTGCCCGTCAGTTTGTAACCGTCCGGCACCACA AAACATAGTGAAGGTGTCAAGATTCCATGGTCATGGAGAATTCTTTCCACAGATTTGTCC TCACTATTATGCTCGCAACCATTTGCGTTGCAAGAATCAACCTCAATACAGAGGGACAAG AGTTTCAACCCTTCCATTAGTAGCATCCTAGGCTCTGTCTGTACAAGAAATGCTAACTTC TGTCTAGATAATCTCTCATTGTCCACTAGATACTTTGATACTAAGTCTTTGACACAGGCT ATGTCTTCCTCCATGTCTGGCCACGAGTATGTTGGTCAGAACCCTCAAAACATGTGATCT GCTAGAGCAACAGTTCACCACAGGCCAGGGTCCCGTGGGGGGCACAAGGGATACAAGAGG CAATTAAAGACAATTAAATTAGATAGCCTTAATGCCTAGGATCCTCGGTGCGAGCATCCT AGGCTC >comp0_c0_seq2 len=5491 path=[6883:0-41 1457:42-5490] ATCATTCATTCTTTAAGGAGGCTATACCCATCAGTGTTTGAAAAACACTGATGGGTACAG CCTCCTTAAAGAATGAATGATGTGATTCAAACCAACCCTATCCTCTAATAGTTTTGACGC AGTTGGCTTTAAGGGGAAATAGTCACAGGGGTTATGCTTGAAAAAATCCAACACCTTAAC TGTCTTAGGTTCCCCTAAGACCCATGCACCCAGTTCTATTGCAGTTGATAATGATATGCA CATATAATCCCATAACAAGGGTCTGAAATAACTAATGACATCATCATTTCCACTTCCATT TCTTAGTTCTAACGGAACCTGCCAATATTGAATACCATTAGAATTTGTCAACAATTTGAT TCCCTTAACATCAGAAATCAGAGACTGAATGGACTTAATATACAGATTCTCTTTATTTGG TCCCCGAACACATTTGCTACCCAATGTTCTGCATAATCCCACAAAGCCAGATGCAATGGA ACTTTGGAATGCAGATTTGTTAATAGCTTCAGACAGCAATTTTTGCGCACCTCGAGTAAA AGTGGAAGACAACTTATTTTGGATTGTTTTGACAATGGTAGGAATCTTCTCATCATCTAG GTTCACAGCACCTGAATATATTATCTTTTGTCTCAACACCATTCTTAAAGGATGATGTGC GGCTAAGTTTAACCAAGAGTACTCAAGGTCAGACTCAGATGGAGATTCAACACCTAACAG CTCACAAAGATTTCTTAGTGAAGAGAGGTGCTCACTAGACAAATAGTTTGTTGTAAACTC TTCATGGAGTTGCCCAGTCTTCAACCTATTGTACAGTTTTCTTAACATAGATCTAATCTT GCTGCAAGCGTTGGGAATCAATCCCTCTATTTGTCTCATGATTCTATAACTACGGTTGCC ATCCACCCAATCTCTAACATCTGTCTCGCAATTCAATAAAAATGGGTCAATAGGGTATCT TGCATATTGCAAAAGACTTAAGGTTCTTTTCTGTATTAGATTGCATAAGTGAACAGGGAC ACCATTTGCAACCGACTGATCAATGATTGTGTCAATTGTTTCTGCCAGTTGGTGTGGCTC TTTACACTTTATATTGTGAAGAGCTGCTGCAACGAACTTTGTCAACAATGGCACCTCATC TCCCCAAACAAAAAATCTAGATTTAAACTCAGCAACAAACCTGCCAATAACACTTTTAGG GCTCACAAACTTATTGAGTTGATCACTCATATAATAATGGAACTCTATTAGAGTCCTAAA TTCTTCTGGGTCCCTCTGCAAAAGCTCTGTGAGAGATTGATCAAAGAGAGAAATTTGATC ATCACTAGAGGTATAAGCATCTATAGTACCACCACATATACAACTGATAGCATAATTAAT GAACCTCTCTGAAATAAGGGCATAAAAATCTGATGTGTTGTGTAATATTCCCTGACCCAT GTCAAGTATTGAACTAATGTGAGAAGGCACTACACCGACTTGGAAATTAGAGTAAAAGAA ATCTTCTGTTATTGACTGTTTAGTTTTCTTCCTTAACCCTAGTTGAGCTTTAATGAAAGA CTTCATCATGGCTGTCACCACATTAAAAGGTATTTCCACCATTTTGTGCATATGCCACAT GAGTAGGGTTGAAAGATAGTCCCTCCCTTTTATGTCAGCTTGCAAGTCCCTTGAGAGGAA AATCAAATTCTGTAAGACAGTCAAGAACAAAAATGGACACATCATTGGGCCCCACTTACT ATGATCCATGCTATAGGACACATGCGCTAATGAAACATTCAATTTCATGGAGAGGATAGC ATTCTCAAACTCCTTCTCGTTGTTCAAGCAACTCCCTGACAACTGTAGGCTTATAGCTTC AAAGTAATCTTCTATAAGTCTAGTAAACATCTTTGTTCTAAGATCACCAATATATAGTTC TCTGTTGCCACCCACTTGTTCTTTATATGACAAAGAGAACTTAAGCCTTCCTGTATCAGG TCCCACTGAGTCATAAGATTGTGGCGACTCTTGGCTATAAAAACACAAATTCTTTAACAT TGCTGTGGTACAGTTTGTCAGTGACAGAGCCTTACTAAGTGCCTCTGAGTTGCTCTCCCT TTCACTAATTCTCACATCATCAGAGAGTTTACCCATGTCAAACTTGAAATTAAGGTTCCT TGACTTATAATGAGTGTACCTCCCCATAAGTGCATTTGCATTCATGATCAAGAGTATGGA CTTAAAACACTGAAAGTATTCATGGTTAAAGTATGTCCTTGTTGATACTGCCTTTGTCAA CTCTCCAATAGGACACTGTGACATATGTCCACAGTAAAAATACTTCTCCTTCAATCTACT ATTCTCATAGACAGCATTACAGAATTCTTCATAAAATTTACCTGGTAAGATATCATAATC AAAATCCTCAACCATGTGATTAGATAATTCACCCTTAATCAACCTAATGTAAAACTTATT TGAGACAATCTCATCTAGATCATTTATTGACGGTTGGCCATCACCATTAGGGCCTGAGCC TGGCTTGGTGGGTTCCCTATACTGATCGACAATTTTTTCAACAGTCTCTTTTAGCTGATC AAAATAATCGCTTGCACCTCCATCGAGCAAAATTTCATCTAGGTCAGCTCCATCAACATC ACTTTTGAGCTGCCCAGATCCTAGAACCAAATTGCTCATTGCCTGCTGAACTTTGTATTC ATAGTCCTGCTTGTTGAGAAGGTACTTTCCTTTTCTTGAGAAGACTTCAGTGAGCTGCGA CACGGCCAGTGCTGTGAGCTTATTGAAGTCATAGTTTAATATTCTAGAACCATCTGTGTA CTTATTAACAACAACACTTTTGTTGCTGGCTAAATCCAAGGCAGTGGCACAGCCACTGGT GATGAGAGGATCTTTGATTTCCCTTTTTACTTCCCTCTCCTTAAATAGTGAACCATTGTT GAAAGAAGACGTAAGAAGGGACAAATACTTCTTTGAAACACCAGGCCTTTTATAGTCTGG TCCCTCGACACTTGTGCATCCATCTTTACTTAAAAACTTTTTTGCATTATAGACCATGTC GTCCAATTCTTCCTCGGTAGCTGTATCTGCAGGGTTAGTGCTCACATGACCAAATTTCAC CTTTGGTTCCAAAAACTTCTCAAAACATTTTATCTGATCTGTTAATCTATCTGGTGTTTC TTTCGTAATGAAGTGGCACATGTAAGAAATATTCAAAATGAACTTGAACCTATTGGTCAT CATGCTCTTCACATCTTCAGATAAAACTAAACTCATTAATGTCCTTATTAACCTATAGAG CAGGAACTCAACATCAGTGATTAATTCTTCCCTTATTTTGTCAACGAGGTCCTTATGATG ATAATCTGACACATAAGCCATTACAAAATACCTAAGATTTTGGAGGAGCTTTTGAGAACG TTTACTGGGGTGAGCTAAAATTAAAACCAGGATCATCTTTGTCAAAAACTTTATGTTGTT CAACTGCCCTTCCAGCTCACTGCAATCTTCTATCCAAGAAATCATAGTGCTTATTGTTGT CTGTAAAACCTCAGCTGAAAATATTGCTGGAAAATATCTTTTAGGATCAGCGTAAAATGA GCACACCTCACCAACTTTGTTATCATTAATAGCATAGCACTTCGAGCATTCCCCTGTTTT TTGATAAATCAGTTGGAATTCAGAGTTTCCTAATGAAAACTCTTGACAATATGCTTCTTT GCATCTGACCACCTGATACCTTGCGGGTCCAAACTCATTCTGCCTCAATTTTACGGTAGA AGAAGTTTTCATAGAGTTCACCAAGGCGAGGCTCAATGAAGAAAGTCTCTCTAAGTCAGT GGTTCCCAGTAGTTCCACATCCCCCATCACATAAGGGAATGTTTCTTCCTCTGTTCTCTG ATAACTGATTGTGGGAACAATTCCGGAGACATCAAAATCCATAATCAAATCATAACTATT AAGGCAAACCACCTCCATGTCAATTTTATAGTGGTCTACACTGATTCCAACATCCTCTAA AGCAGTGGTGGCCTTCAAAATGGTTTTCTGGAATATTGAATTGAGAATTTGGTTCTTACT CAAACACTGGGAGGACTGTGTGTTTCTAGATCTCTCAGCCTGTTGCCTCCGCTCAACCCA TTTCTCAAGATCCCTTTTTGTTGACTCTAAAGAAACTAGTCTATCATTTACACTTAAGAA GCAAGACCCCAACCACCCTTTTAAACACTTTTGTTTCATTAGGTCATACTTGCTTGCAAG GAGAATTAATGCATCAAAAATTAATAGAAGTTTCCTCCTTGTGTTCAATATCCTCAAAGA TTTTACTTTATTCAGGAATGATCTCCAGCATTGAACCTGACATTCTCCAATGGTTTGGTT TTCCCTCTTTTCATTCCCCTCCTCAATGTTTGCATACAGAAATCTCAATATTGGTGATGC TCTCTTGAACTGATAAATCAAGTGTTCGATATTGTCTTCTGCAGCTACCTTATCAGCGTA CAAATTATTAAGTTCATTAAGTAATTGGTTCTTATCAACCTTCAGAAACTGACCTTCTAT CTCTCCTTTCCTCAATCTGTTCCTAAACACTTGATACTCCTCTTCGATCTGCAGCTTTAC CTCATGGGCTGTTAACTTATTATTGATGCCTTGATGGCATGAGGCAATCACTTCCTCATA ATGATTGGAGCGATTGTCCATCAGAACATTTAAACTCTCCACCCCTGATAATCTACCCGA AGTCATGGATAAAGATTCACAGAGTCTACTATACTCTGATTCTTCAAAAAGTGAATTACT CTCCTGTGCATACTTTAAAAGTGAAAAGAGCGTATCCCTCAACTTGTCATTGACCCAGTC AGGTATTTGTTCATTGTAGAATGATGTCCTCCCGTCTATGAGTGGTATTAAATTGATATC GACACTCTTCAAGTCTTCTTTCAATTGCTCTAATTTTTTGAAGTCCTCAATGTACTTCTG CTCAAAGTTAGCAGGAGATGACCTAACAAAACACTCCAGCAGTATTAGAACATTGCCCGT CAGTTTGTAACCGTCCGGCACCACAAAACATAGTGAAGGTGTCAAGATTCCATGGTCATG GAGAATTCTTTCCACAGATTTGTCCTCACTATTATGCTCGCAACCATTTGCGTTGCAAGA ATCAACCTCAATACAGAGGGACAAGAGTTTCAACCCTTCCATTAGTAGCATCCTAGGCTC TGTCTGTACAAGAAATGCTAACTTCTGTCTAGATAATCTCTCATTGTCCACTAGATACTT TGATACTAAGTCTTTGACACAGGCTATGTCTTCCTCCATGTCTGGCCACGAGTATGTTGG TCAGAACCCTCAAAACATGTGATCTGCTAGAGCAACAGTTCACCACAGGCCAGGGTCCCG TGGGGGGCACAAGGGATACAAGAGGCAATTAAAGACAATTAAATTAGATAGCCTTAATGC CTAGGATCCTCGGTGCGAGCATCCTAGGCTC >comp2_c0_seq1 len=421 path=[0:0-420] GGGTGAGAGTGGTGGGGGTCGGTGGGAGACTCAGGGACTGTAGGGTGGGGGTCTGATGCT GTCTGCTGCTCTAGTTGGAGGTGCTGTTGGAGTGGCTGATGGTCTCAGCTTTGTGGGGAG AGGCATCTTGCAAATGGGGCACCTGTTGCTGACACTCAGAAGTAAGGTGAGGCAGTTGAG ACACAGATAGTGGTTGTTGCACTCAACCAGGCCCTTGTTTTCGAACCAGCAGCTCTTGCA GAACTGTGGCCCTAGATGTGTGGCATCCGGGATCAGGCTGGCTCTTGGACTGTCTCTTGA TTCTGGGGCTTTGGATTGCTTGTTTCCCATTTGGAAGAGTTCAGCGTACAAAGCCTCAAA AAGAAGAACAACCAAATTGCCTAGGATCCCCGGTGCGCGGGTCCATTTTCCTCATTTGTA G ================================================ FILE: tests/input/TestOrderAndOrient/contigs.lasv.one_small.fasta ================================================ >comp2_c0_seq1 len=421 path=[0:0-420] GGGTGAGAGTGGTGGGGGTCGGTGGGAGACTCAGGGACTGTAGGGTGGGGGTCTGATGCT GTCTGCTGCTCTAGTTGGAGGTGCTGTTGGAGTGGCTGATGGTCTCAGCTTTGTGGGGAG AGGCATCTTGCAAATGGGGCACCTGTTGCTGACACTCAGAAGTAAGGTGAGGCAGTTGAG ACACAGATAGTGGTTGTTGCACTCAACCAGGCCCTTGTTTTCGAACCAGCAGCTCTTGCA GAACTGTGGCCCTAGATGTGTGGCATCCGGGATCAGGCTGGCTCTTGGACTGTCTCTTGA TTCTGGGGCTTTGGATTGCTTGTTTCCCATTTGGAAGAGTTCAGCGTACAAAGCCTCAAA AAGAAGAACAACCAAATTGCCTAGGATCCCCGGTGCGCGGGTCCATTTTCCTCATTTGTA G ================================================ FILE: tests/input/TestOrderAndOrient/expected.ebov.ambig.fasta ================================================ >KJ660346.2_contigs_ordered_and_oriented GAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGT TACTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGG TCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGG CCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGC AACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAAC TTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGT AAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGAT TCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCAC AAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCA GTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCT GGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCG TACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCAC GGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCA GCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACG ACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTA GTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAA GGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGT TTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTT GCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCA GGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTT CGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCT GCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTT TCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGA GTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAG CTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAA CTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAA AAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTG GCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGAT GATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAA GATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGAT GATGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGAC TTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCG ACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACA CAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCT CCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTG ACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTT CCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCC ACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAA GATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACC CAGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTT GATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGAT GGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAA AAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGG CCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGC ATGTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAA ACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAG TTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTT AATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAG CGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACA TTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCAT CCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAG CTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCA AAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGG AAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGC ATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGA CCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGT TGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAA TGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGC TGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGC TGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTA TGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGT TAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAA ACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGG AACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATT GGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGC CCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCA CATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACC ATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACT TGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGC TTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTA GATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTA AAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAA CCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTC ATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATT GCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAAT TGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACAC TCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACC AGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAA AGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTA CAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGG CAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCC CCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGT CCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACT GCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGG AATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGG GAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGA CTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAAC TCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCC TGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGT AATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAA GTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAAC ATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGT GCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATA TACCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCC TACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCC TTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAG ATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGC TCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCAT CTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAAC CAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAAT ATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCT TTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAG TGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGT TGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGANNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN 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TGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGT GGAGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAAT ATTGTTCTTGTTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTA ATGCGGAGGTTTGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTT CATCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCT GTATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTAC ACATCTCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTT AGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACC TACAACGAACATTACTTTGAGCACCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAA TCGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCC AGACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAA TATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAG TTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTC ACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAA TGACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGC TGTGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTT TGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACA CTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGT CGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGA ACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAA CTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACC GCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTA CACAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTA TCTAACTAAGATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAA CTTGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTC TTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACC CTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAA TTGCTTTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAAT TGTAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTC CATACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAA AAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGAT ATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTAT TGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATC CGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTG TTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAA TTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGT TCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCA AAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTT CAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAA CTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATT TAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTAC CACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCA AAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAA TGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGG TTGAGGACCCATTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGA GCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCG AACCATTGTGCTTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGGCCGAT TCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTG CACTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGG AGATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTG TGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCAT TACGCCCTATCGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATT ATTTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTC TTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTAT GGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAA GTATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCG AGCCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAAC AATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCG AGTATCTACTACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATG TAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAG CTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAAC GTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCG GTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTG CATTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTA AGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATT ATTATAATCCACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTA GTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTA TTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTG TGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAG GCGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAG TTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTA TCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGG CTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTA GTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAA TAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGAT TTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAA TATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGA AATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTT ATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGA ACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAG ACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACA AACTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGT GGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGC CGAGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCT CTAAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATACATT GCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGC TTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGC ACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATT CAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACC TGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAA TGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGA AGATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGC CATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCT AATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGAC CCCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTC TTTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTT AGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGT TATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATAT CCAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCA GTACTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATT GATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCC ATTTTTCCAAGGCAAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTT ATCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAATAATTC GTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTA TCCCAAAATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATAC AATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAAT TCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGT TATGTCACGATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGG TGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCT TACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATA TCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACT GCTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACA TCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTC ATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTC TTCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAAC CACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAAT AAAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCT AAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAA TGTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACA TCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAA TGAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGA TACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGA GGTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGC TGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTCTTCAACACGCTAGC TACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCT ACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAG CCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAG GCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATT GTACGAAGCTGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTGTTGAAAGCAGT GGTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGC CCCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGA GTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCA TCTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATA CTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCT TGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAG AGGTCCACTAGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATT GACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTAC TGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACA AGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAG TGTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCA AACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATTGAAAGGCTGACAGG GCTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTAT TTTGATACTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTC TCATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTT ACATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAG CATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTT TATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTA TCAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAAC TTAATCTTAAAGATCAGTTTT ================================================ FILE: tests/input/TestOrderAndOrient/expected.ebov.doublehit.fasta ================================================ >KJ660346.2_contigs_ordered_and_oriented CTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGTC TCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCC TTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAA CATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACTT TGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAA AACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTC TCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAA GATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGT GTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGG TGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTA CCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGG GTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGC AGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGAC TGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGT AGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGG ACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTT GATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGC CGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGG TCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCG TCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGC ACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTC TGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGT CGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCT CAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACT TGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAA GAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGC CAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGA TGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGA TGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGATGA TGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTT GGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGAC CAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACA ATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCC ACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGAC CCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCC GCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCAC TGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGA TGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCA GCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGA TGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGG TAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAA AGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCC AGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCAT GTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAAC AGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTT TTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAA TGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCG ATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATT TACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCC TTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCT GGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAA ACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAA GGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCAT CCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACC CAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTG TGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATG GTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTG AGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTG CGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATG AAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTA GGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAAC CTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAA CTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGG ACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCC TAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACA TCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCAT CACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTG GACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTT CAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGA TAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAA GATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACC CAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCAT TAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGC CTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTG CTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTC CATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAG GCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAG TGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACA GCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCA AGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCC TCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCC AACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGC CTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAA TTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGA ACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACT TTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTC TGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTG TTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAA TCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGT AATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACAT CTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGC TTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATA CCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTA CTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTT ATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGAT GTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTC TTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCT CTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCA AAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATAT TGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTT TCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTG ATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTG GACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGG GCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAA ACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAG ACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCAT GTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTT CCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGC CCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGG AGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAA CTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAA GATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGA GCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGG AGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTC TTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTC TTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTC CTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAAC CCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAG CACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACA TCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGC CGGACCCTTAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGC CACCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCA AGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGC TGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGC TCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAAT CGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCT AATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCA AGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCG TAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGA CTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTAT TCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGG ATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGC TTTATTCTGTATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAAC TCAACCTCAAATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTAC TTGACAAATGATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCC TTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAA TGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCC TTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAG TTGTAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCA TTGGTAAAAAAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCT TCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCAC CATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGG AGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACA GTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGT AGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTA ATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGAC TCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCCAAAATTACC TTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGAG GATTCCAAATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAA TCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAG GCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAA GCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTG AATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACA TTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCT GATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACA ATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCA GTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAA GAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGCTCGCAAT ATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACT CTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATG ATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGG AGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATAT TGTTCTTGTTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAAT GCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCA TCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCTGT ATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACAC ATCTCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAG TGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTA CAACGAACATTACTTTGAGCACCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATC GAGCGCAAGGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAG ACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATA TCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTT AGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCAC AAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATG ACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTG TGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTG ATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACT AACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCG TTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAAC TACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACT CGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGC AAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACA CAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATC TAACTAAGATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACT TGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTT GATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCT TACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATT GCTTTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTG TAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCA TACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAA ACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATAT TAAATGGCTACACAACATACCCAATANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNG GACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATCCG CAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTT ACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATT CTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTC TTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAA AATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCA ATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACT CGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATTTA ATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCA CTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAA GAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATG TGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTT GAGGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNCAATGGTGCTCAAAGTACACCGAGAGGAAGGGCCGATTC TTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCA CTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAG ATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTG CTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTA CGCCCTATCGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTAT TTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTT AATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTATGG GAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGT ATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAG CCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAA TTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAG TATCTACTACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTA GGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCT CTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGT GAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGT GAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCA TTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAG AATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTAT TATAATCCACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGT TCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATT TCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTG ATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGC GAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTT ACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATC TATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCT ACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGT ATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATA ACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTT AATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATA TCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAA TGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTAT CTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAAC TGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGAC TTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAA CTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGTGG CTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCG AGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCT AAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTG CAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCT TTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCA CATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTC AAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACCT GGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAAT GCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAA GATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCC ATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTA ATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACC CCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCT TTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTTA GGTGAGTTTTCAGGAGGTGGCCAATCGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGGCTACAGATATC CAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAG TACTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATTG ATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCA TTTTTCCAAGGCAAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTA TCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAATAATTCG TCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTAT CCCAAAATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACA ATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATT CATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTT ATGTCACGATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGT GACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTT ACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATAT CCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTG CTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACAT CCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCA TTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCT TCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACC ACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATA AAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCTA AGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAAT GTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACAT CGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAAT GAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCNNNNNNNNNN NNNNNNGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAG GTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCT GGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTCTTCAACACGCTAGCT ACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTA CCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGC CAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGG CAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTG TACGAAGCTGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTG GTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCC CCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAG TGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCAT CTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATAC TGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTT GGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGA GGTCCACTAGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTG ACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACT GCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACAA GCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGT GTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAA ACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGG CTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATT TTGATACTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCT CATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTA CATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAGC ATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTT ATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTAT CAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACT GATCTTTAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGG TGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGT CTAGTAAGCTACTATTCCATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAA TCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAAT TAAGGCATTGACCACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATCCC TGGAAAAATGGTCACACACAAAAAAGAAGAAATAGATTTATTTTTAAATTTTTGTGTG ================================================ FILE: tests/input/TestOrderAndOrient/expected.ebov.small.fasta ================================================ >ref_4kb_contigs_ordered_and_oriented TAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTG CCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCT TCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAA AGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCA CGACTCAGAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAA TGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTAT GCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCC AAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGG CTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTC TTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGG TTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAG CAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCAT CACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTC AAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATT TTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTG GTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCA ATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTC AATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTG TCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAG TCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTA AAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAG CAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATC AGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGC AGCTTTAAAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTAT TAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTG TTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGG TTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATT CAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATG GAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCC ACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGG GCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAA AGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCC ATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGG ATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTC CACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTC AACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGC GTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGA AGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCAC TCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGC CAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAA TCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCA CCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGG TTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAG TGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATAC TAAAGGTGCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACT CATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAA ACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTC TTTGTCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGG ATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAG ACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAA TCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATT GGATAACCAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTA CAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAA TTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTAC AGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGA GATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTA AAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAAT GGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAG CAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAA CGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATC GACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTC TGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCA ATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCG GTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAAC TTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTG GGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAA CAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGA AGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGC GCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTC AGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCA TCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCC GGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAA ================================================ FILE: tests/input/TestOrderAndOrient/expected.hhv3.fasta ================================================ >gi|59989|emb|X04370.1|_contigs_ordered_and_oriented GAACGGCACCACCCAACAGTCTTACGATTGCCTAGACTGCGCTTATGATGGAATCCACAG ACTTCAGCTGGCTTTTCTAAGAATTCGCAAATGCTGTGTACCGGCTTTTTTAATTCTTTT TGGTATTCTCACCCTTACTGCTGTCGTGGTCGCCATTGTTGCCGTTTTTCCCGAGGAACC TCCCAACTCAACTACATGAAACTACTGTCCGGAAGGGGAAGGTATTTATTCTCGCTTGCA GCTTGTCGCGCGTGTATGCACAACAAAAGCTATATATGTCACCAAAGCCAACGTCGCCAT CTGGAGTACTACACCCAGTACGTTGCATAACCTGTCCATTTGCATTTTCAGTTGCGCGGA CGCCTTTCTCCGGGATCGTGGCCTTGGGACATCAACCAGTGGAATAAGAACCGCCGGTGG TCTTGCCCGAACGACGAGTGGCGACGCGTTGTTCTGCATAAGCTCTGTATGCTGATACAT AAACACAGAGTCTGTATCGCTATCAGATTCCCGAACACCTTCCGGTACCCCATACTCCGA TACCCTGGACATTGCGGATCCCAAAAATATAATATTAACAGGATTTGCTTATACTTTGCT ACAGCTTATATAAATTTATGTGCGATACATCTTAAGTGCATCCGTACGTTATTTATACAT TGCCGGTCACGTGAAAAGACTGTGTTACCCAATAAAGGTTCTACAAAAAATGCTTTATTG GGTGTTTGTTTAATAGCTATTATCGTAACCCACCCCCGTAAAATCATAAANNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNACTCTGGTGC GTCCCAGTTTAAACGCCACCGCCGAGGAAAATCCCGCGTCAGAAACGCGATGTTTATTAC GAGTGCTTGCGGGGAGAACTGTAGACCTGCCAGGCGGAGGAACGTTACACATTACCTGTA CCAAAACCTATGTAATTATTGGCAAATATAGCAAACCCGGCGAACGTCTTAGCCTTGCCC GTCTAATAGGGCGTGCAATGACGCCTGGAGGTGCAAGGACATTTATTATTTTGGCGATGA AGGAAAAGCGATCCACAACGCTTGGGTATGAATGTGGTACGGGCTTGCATTTACTGGCTC CATCTATGGGTACATTTCTCCGCACACACGGTTTAAGTAACAGAGATCTCTGTTTATGGC GGGGTAATATTTATGATATGCATATGCAACGTCTTATGTNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNTATTTTTATTTAAATGTGTAGTTCATAGTCCGCCGACA GCCGCTCGGGCTTTTCCCCCACATACAACATGATCGTATGCCTCGGATGCACCGGTCCAA CACTCCGCCGAGAAGGGGGATTTACAATGACAGTGATACCCAATAGCCGCCAGATGTACA CCCAGCTGTCCGGACTCCAGCATCATCTGCTGAGTTGCGGCGCTGAAGGGTGCATCGCAT AGGGTGTTATAATTAGCCATTTCCGGTAACAGTCGTTGGGAATTTAGGAGGCTGCAAAAC GGCTGTAGGTCAACATACATTGGGGATTCAGATGGTTTATCTCGACGTCCAAGTCCAATC AAAAAAGCGTGTAAATCATCAGCCCGGCCGCATGTTGCTCGAAGAGCACATAACCTCTTA ACACCGTACAGAGGGGATGGCGTCGGTGCATGTGAGTTGGCAGGGCATGTCCACGTTGTT TCCAACGCCAGTGGCGGTATAACTTGTGTAAACGACGCCAACGGGTCAGGTTTAAGATTC ACTCGGATGGGTTGACTGCTTTCGGAAGCTCCCGTTGTATCCATTAATTAAACGTTCGGT ACACGTCTGGTGTGTGTTTTACCCGAATCAGAGACGGAATTGCAAAGATATTGGTTTGAA AGCAATGTAATCCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNGTCTTTTATTAATATAGAATCACATAAACAATTGATAAAATCAAGGGGTGG TGTATAATGATTAAAAATATAAATTGATATGTTTTACAAGCATGAAATAGGTATTTACTA TTCTAACAGGTAAATATGCTTAATGATTAAAAATACAAATTAGTATGTTTTGACAAGCAT GAAAAAGGTATTTTTTATTTTAGCAGTTAAAGGTACTACACTTAAAATATTTACCGTATG GACGGGCGTCAGAAAGATGCCCGGCCCAAGTTGAGAGGGTACATTCAACACGACCACACT CGCGTTGGTGGGTGATTAGGGCCTCTAAAACACCGGCCAGACATGACCCGGGTGTATATT CTTGTAACACTTGAACGTTACAACTGATATCATCATATTCCACAAATTTAGAGCCACGGA CAACTATATTAGCAATGCGGGCAATCATAACAAACATATAAGTAGTAATACACGTGATAT CACTAAAACGTTGCTGGCGCAACAGTTCGGGGAGAGTACGAGACCCCAAATCGTTGTCCC TGTTTAGAAGAAGACATCTTACAAAAGGCCCCAGCTTTAACTTTAAATTCTCCAAAAGTG ACTTCGAGGTTGCAACAATGGGATTATTTGTGTAGATGGGCAAGTTTTTTGCCGCTAACA TTTTAATCCACGTTAACAGTTCATCCGCAGACTCCAACGCTTCAATCAAAGATTCTCCAC GTATGACTCTCTCACGCAACGCGCGGGCAATACGTGAGTCCATTTTATATGACTCAAAGG TACGATAAAGTTCATGTCCGTACAACATCAACTCCGGCCAAGATGTGTTTTGTTTTATCC CCGGAAAACATCCACCGGAAGCCCATGAATCACCCTCTTGTATTGTGGCATATCGGACTA CCAGTTTTTCAATTGTTTCATCTAAATGGCGTACCGAGTCAATGGTCACGCTGGCTCCCG CGGTGGAGACGACTTCAATAGCACGGCCCGTAATTCGATCGACCGGGATATCATACTCTT TTCGAATACGCTCTCGGCGGGCGTCTCTCTTGGAAAATCGCAACCTGTACGATTCGTCAT GTGTCTGATCATTTCTTTCTCCCGTGGTCATTGCAGGAGGCGTTGTAGGACGCCGTCTTC GATTTGACAGGGATCGATCACGGTGTTTTCTTGAACTTTGGGTGTTATAAGATCTGGATG ATCGTCGATGTCCCCGTTCGATGCGTGCATATCCAGTCTCCACGTCTCTTCCTCCATGAT GGTTTGAATCGGGTAATACAACAACCAAAGTTTTCGGGCGATTGTGGTGGTAGCTTTCAC GCCTTCCGTGCCTTCGTTTGGAATACCGTGGATTATATGCTGTATCTGCAGTACGCTCCA CATACACAGTTCTAGACGTTGTGGAGTCCTCGCCTGGAGTGGAGCCAATAGCTTCATCAT TTGCCCAATCGGTGACTTCCAATGCAAAGTCATCCGAAGGTTCGTCTGGTAGCAAATTCA TAAAGTCTTCACAAATAGTAGACACGTCTGGGTCGGTTGGAATTGAAGCAGAGGCCATGG CTGCAAAATATCTGACAATTGCGTGTTTGCAGTTGCCTGTATCTTCCGCCAATGTTGTAG AATTTATAGGCTCACCCAACCCCGCAATGGGCGTGTTTAGTCACATGATTAATGTTTCTG GGAGTTTTCACTTTCCCCAAACAAGCTTACCTGCACCCTTTGTTCGTAATGCATAAAAAT AACCACTGCTATAGCAAATATGACGATATAAAAACATTTTATAGCAAGGCCGGACATTAC TGTAGCACAACATGTTGTGCATATACCACGTATTCCCCCCGTATTGATATGATTTAAATG ATTATCCTTGGTTGGTTTTGGTCTAACATAAGATATAAGCTCTACTATAGCGAGCGTGCA TACAACAACCCAGGCCAGAATCCGAATGTATGTGGGGTATAATAACGCGCATGGTGTATA TGCAACGCCAAGCGTTAAAAGCACAATACATCCAGATGATATATGAGCGATAACCTCCAA AAGCATCAATAACGTAACACCTTTATGCATATATAAAAAACTTATAGGGTCAGCATTAAA TACTTTACTCATACCATCCCGTCGCATGGAAACATCACATAACAACCTTGCCAACTTTGT ATATGGGTAACCAAGAAGAATGTTCGAAATAACCCGTGTTACGTAATTCAGTGAATATGA TGTGGGGGATATTAACTCACAGGATGATCGGAATGGCCCAAACATACGACGTATTCGTCG AAATTGTAAATACATACCATATACAAACCATGCAAAAAAAATCATTTTTAGCTGCACGCA CCAAAAATAAGCGTGACAATTACGTGTTCCCAGAACAATTCGAATTTTGTCATGCAAAGG TGTAGAAATAGCGGTTTTTACCATAGTATCTCCTGATAATAGATTTTCCCGGCAGCTGTA ATCGTATCCAGATAGGCCATCCAAAAACGTTGAGTGGTTTACAAACGTTACATATATAAG AGAGTTGTTATAAGACCCCCATACAACCGGTCCACCATTAATCACCGTGGTTGCATACAC ACACTCATGTTCAAACTTTACACGAGCGGTATACCATAGGGTAAAAACAGCATGTCCGCT AAGTAGACACATAATTATAAAATGTTCTGTCTTGATTCCTAAAGCCTGCATGACCCGTGG AAGATGGCAATTCAAGCACGATGTAGTATCACACGGTTGGTGTTAACTCGAAGTTAAATT TGGATAATTAGGTACTTCTAGAGTAAAGATTGTATGCATGCGATTGCTATCGCACTTTGT AGCAAAACATTGTTGTGCAAGCGAAATACACAAACGGTTGTGATGATCCACTCGCAGAGA CACAAATGTCCGGGGAGCCGTTCTTCCTCCGCGATGGGGATATCGAAGACAAGTGAACCC TTTTGTTCCGCATATGAGCTGAAATAACACCCAGTCCCTTTTGATGGCGATACACTTTGA TGATGTTAAGGTATATTCGCGATCACGCCCGGGGAAATGAACAGCAATATGCTCCACAAT AGATTCTAATATTGTGCTGTCGACAAAGGCCTCCAGTGTAAATGCGTCCAGACAAGTTAC CCCGCGCTCTTTTAGAGCCTTTGTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCGTAAATACGGACCAATATA TTCAACAAATTCCCGTTCCAGCAACACCGCTTGTTGTAATATTTGTGCAAACCCCTTTAA AGTGGAAGACCCCACTAACGCATAGGGATTTGGGATTGGTACGCATACCCTGAAACCTAT TTTCTCTTTACAGTTACAGGGTAGAGTTTCATGCAAGTTTTCATTGTTTGATACATCGGC GTGTGTATGGACTTCAGACGTTGTCTGTGTATCAAAAAACCATACATCCTCTGTATAATT CTCTTCTACACACGTGTATAATTCGCCATTTTCTATGTAAAAATCGATGTCAGAATGGCT GGTTATATCCAATAAATTATCATCATCCAACACCTCAACGGTAGGTTCAGGACATGCAGT TTTATAAAAATAACATGGGTCTTTGTTAGGGTTTACCACGGCCTTTGGAAAAAGTAATTG CATGGCCGTTAAAATACCATGACGAAATGCTCGCATGCCGGCATGTAAAATACCCAATGG GATGGGTTTTCTTATATGAAAGTCTACATCAAGTATGAGGTTTGTGATTATAAGATTTGT ATTAAATAGCTCATTCCTGTTTATATAAAGCTGATCTTTGGGTATGTTAGATGAAATTTT AGAAACGTTTTTAACAGACGTAGATAATAGTAAAGTCAACTGCATATCTCGTAGTGAAGC GGCAACAAAATTACATGGATTAATTTGTTTAAGGTCCTCCGCAATTAATCGAGCCTCGTG CGGTAAAGTGTAACGGTTTGTTATTGATGACCACGTATCATTAGCAATAACAGCAAATGC TTGGGCACCTTGAGGCAAGGCTACCCGATATACAGGCATTGGTCCAGTTACCTCAGAATG GCCGATGAGGGCTTCTAATGGAGTTTTATAACTCAGGATGGATACATCATGTGTGGCTAT CCCAGTGGCAGCAGAGAAAAACANNNNNNNNNNNNNNNNNNNNNNNNNNNNATCAAAACC AGTACGACCACTTTGGTTAGGTGTATCGTTTGCAAAGTTGGCTGCTCGTAACGCCTCCGC GGAAACAACCGAATCCTCAAAATTAGACAATTCGTCAAAACCGGGTGGATTTGAGGGAAT AGTGGAGGACCATCCATATGGACTAAATTGTTTTTCAATGTTTTCCACACGACGAGTTAG CGTTGTAGCTAGGTCACATACGCCTATAAACTTGCTAGGTTTTGCGGCATACGTAAGACT TAAAGTATATGTTTTAGTAATTGTATATTTATGTCCAATCTCAGGTCCAAGTTCAGTGAC ATCACAAATTACGTTCTTTTTTATATAGTCACGCATGTTGAGACGAGAACGTACATGATT AAAAAAATTAGCAGTAGCTCTTTTTCCCAGGTTGGATGATTTTAAGAGGACCGGTTTATT CACAAAATCTGAGTATGTAACCGCTTGTAGGTGGTCTGCGATCTGTTTCCGATTGAAACA TTCAAAATGTGCCAGATAAATATAATCAACAAATTCACGGTCTGGAACTTTAAGGCCTTT TCTATCGTTGGTAATATACTCCGATACTGCGTGTATTTCCGTTGTGTCTGTATGTATTCG CTGTAAAATGTACGATAGAGCATTTTTGGCTGTCAAACCTCGTGTATATGTTGAGGAACA ACAAAACATGGAAAGTTTATCAAAAGACAACAAGTCCGAAATATTGTACCCACTACAATT AGGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNTTGTAACTTGTGTCCGTTTGTAACAAGTAATAGCGTGTAGCCAA CACTAGCGTTTTTTCAGAGGGTCCAAATCGAACAATATACCAAAACGGCGAGCATCCATA CCCCCAGTAGAGTCGTCGATATGCAGCCAATACTTGACGTTCGTAATGGGCATATAATGA TGTTAGCTCCTGACGACCAACGGATTTTTTAACTAACTTGCAGAGTGTTGCCTCTGTGAT GCATAGGCCGTTGTCCGATAATCCCTTTCGGTTTAAATGGTGTGTTGTTACCATCAGAGT TTGTATAACTTCCGAGTGAATGTCAAACGTCTCCGATATACATAGGGTATCAGATATTAT ATGCGGATTTAGGGGTGCTCCATACCATAACGCCTTATATAAAGCTTTAAAATCAGTTTG GGTTTTAAAACAACAAAAAAATATAGGCCAGACCCGGGATCGTACATCTCCAGTTGAAAA TCCACCAATTAAATAAAAAATAACGTTGACGTCCCTACTACAAAATAAATGCATTATTTG GTTTTCTTCATCGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGGAGTCCAAGTATAACTCAC CACATACAGAGGTTCTGTGCTTATCTGCCCGGTAAGCAACAACAGCGAGTGGGAGATTGC ACATCCCTTTGTGGCAAATAATAACCGAATCGTCGGTTTGGAGGATTTATCCATAGTTCA ATACGTTGGAAAGCCAGTCAATCATGCAGACGGTGTGTGCCAGCTTATGTGGATATGCTC GAATACCAACTGAAGAGCCATCTTATGAAGAGGTGCGTGTAAACACGCACCCCCAAGGAG CCGCCCTGCTCCGCCTCCAAGAGGCTTTAACCGCTGTGAATGGATTATTGCCTGCACCTC TAACGTTAGAAGACGTAGTCGCTTCTGCAGATAATACCCGTCGTTTGGTCCGCGCCCAGG CTTTGGCGCGAACTTACGCTGCATGTTCTCGTAACATTGAATGTTTAAAACAGCACCATT TTACTGAAGATAACCCCGGTCTTAACGCCGTGGTCCGTTCACACATGGAAAACTCAAAAC GGCTTGCTGATATGTGTTTAGCTGCAATTACCCATTTGTATTTATCGGTTGGCGCGGTGG ATGTTACTACGGATGATATTGTCGATCAAACCCTGAGAATGACCGCTGAAAGTGAAGTGG TCATGTCTGATGTTGTTCTTTTGGAAAAAACTCTTGGGGTCGTTGCTAAACCTCAGGCAT CGTTTGATGTTTCCCACAACCATGAATTATCTATAGCTAAAGGGGAAAATGTGGGTTTAA AAACATCACCTATTAAATCGGAGGCGACACAATTATCTGAAATTAAACCCCCACTTATAG AAGTATCGGATAATAACACATCTAACCTAACAANNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNACGCACAACCCCCGCGATCAAGA AATCCCATGTTATGCTTGTATAAATATTGAAATAAAAACTAAAAACGTTTCTGGTGTATG TTTTTATTTTGTATATAAAATTAAAACATTGCTGGCTGGCGTGGTTATTACATTTAATGT TTTAGTAGAAAATCGACATCGTTTGTTTCTTTATCAGTTGAACCAAATCCACGCGTTCCC CGTTCGCTGGGTGTGGCTATTAGATCTAACGTTTTAGTAAAATACCATTGTACACCCGGT ATGCCACATTTACCGCGGATAGCATAAGGAAATGCAATATTACTTAAAACGTTGTGTTTT AAGTGTATTTGGGTGTTGTGATCTATTAACAGGACCTGTGCAAGACGATCTCCCGTTTTT ATACGTATGTCATCACCCGTGAGATTATATACGTAGAATTTACAGTGTTCTCCTGCAGGC CATGCCGTTGGACACACGATAATGCCTGATCGGCTTTTCGATGATCTTCCAAAAATATAA GCGTTTATACTCGGATGTTGTAAGTCCCAGTCTCTTATAATCGGTAAGACAATTTTTATA AATTCATTCCTTTTTAAATATAGGTTATATGGTACACAAATATCATATCCCGCGTCTTCT TGGCGTTTTGGATTGATGATATGTTTGTAGGTTAAGGGAACATCGATATGGTATTCTGCA GAATCCCTATGTAAAGGTTGCCCCTGCTGTACCGTGGAAATATCAGCAAATTCAGGTATA ACGGGTTTTTCATAATTTGACGGCGAGTTTGATAAGGGTTGAACTTGTATCGATTTAAAA ATTGGATCCAGATGTTTAAGAACGTTTTTTGGGAGAAGGCGACTTTGTCTTAATTTTACC GGGAACAAGTAGATTGTTAAATGTCCGGGTAAAATAACGGTTACTCCTGGCCGGTAATAC AAAAGGGCTGAAATTACTCCTCTGTAACCCGCATCAATAACTCCGTTGGCGACAAAAAAA TTGTCTTCATCAGCAAGGGCAGTATCTTTGCATTGAATTAACAACAGTGCGTATTCATTG GGAGGCGCCGACTTAACCAACAGCTCCAACTGCTGCATATAAAAACCGCCCCGTGTTACA GATTTTTCAGATGGCAGTTCGAGTTTCTTGTGGTTCCGGAGTAACAACGGTTGATGTCGA CTTACTTTATCGTCTAACACGCATTGCAGCGTATCTGCACATTCAGGTTGAACTTCTATT AAAATTGTATCTTTTAAACACCGATTCGGAATAGTTTGGCTACAAAACATATCACCTGTA TTTACTGCCGTTTCCAAGATGGGATCAATTACCGCTTCGTTCATATTAATAACGATGCAA ATTTTATTTTTTTGTGAAGACAGCAGTGGGGAGCCAAACTTTGCAGAACGGAATTTTTGG CATGCCAGCTGTTCGGCTCGTGGAGTTTATATCGACGGATCAATGATCACCACCCTTTTC TTCTACGCATCCCTGTTGGGGGTGTGTGTAGCCCTTATTTCGTTAGCTTATCATGCGTGT TTCCGGTTATTTACTCGTTCTGTATTACGCAGCACGTGGTAAACCCGTTTGCCTATAAAA GGGGCAGGCGTGTATAAGAGGGTCCCTGTTTAATACGCGGTCTGCCGTGTTTGGATATTT CACGACCCTATCGTTTATTTACGTAATGGCATCTTCCGACGGTGACAGACTTTGTCGCTC TAATGCAGTGCGTCGTAAAACAACGCCTAGTTATTCCGGACAATATCGAACCGCGCGGCG AAGTGTGGTCGTAGGACCCCCCGATGATTCAGACGACTCGTTGGGTTACATTACCACAGT TGGGGCCGATTCTCCTTCTCCAGTGTACGCGGATCTTTATTTTGAACATAAAAATACGAC CCCTCGCGTACATCAACCAAACGACTCCAGCGGATCGGAAGATGACTTTGAAGACATCGA TGAAGTAGTGGCCGCCTTTCGGGAGGCCCGTTTGAGACATGAACTGGTTGAAGATGCTGT ATATGAAAACCCGCTAAGTGTAGAAAAACCATCTAGATCTTTTACTAAAAATGCGGCGGT TAAACCTAAATTAGAGGATTCACCGAAGCGAGCTCCCCCGGGAGCGGGCGCAATTGCCAG CGGGAGACCAATTTCCTTCAGCACTGCACCAAAAACCGCAACAAGCTCGTGGTGCGGTCC TACGCCATCATATAACAAACGCGTCTTTTGTGAAGCGGTCCGGCGCGTAGCCGCCATGCA GGCACAAAAGGCTGCCGAAGCGGCTTGGAATAGTAATCCCCCAAGGAATAACGCCGAATT AGACCGTTTGTTAACCGGAGCCGTTATTCGTATTACGGTGCATGAGGGTTTAAATTTAAT ACAAGCCGCTAATGAAGCAGAACTAGGTGAAGGAGCATCGGTATCCAAACGTGGACATAA TCGAAAAACTGGAGATTTACAGGGGGGCATGGGTAATGAACCTATGTACGCACAAGTTCG TAAGCCAAAAAGTCGAACGGATACACAAACGACTGGGCGTATAACTAATCGAAGTAGGGC CCGTTCGGCATCAAGAACTGATGCGCGAAAATAGGGATATAATTACGCAGTAACGGTTTA CCCGGTATTATGTATAATAAATAAACGTATAAAAGACAGTCGTGGTTTGTGTTTATTATA AATGTGTATTATATGTCACATATTATAAACTGTTTAAATAGTACCACGTGGTATTATGAA CAGTTTATAATCAGTTGCTACCAAACAAACCCCATTAGACGGCGGGTTTTGATAAAGGGA ATCGCTTATTTAAACTAAAGATTTTACTCTATAAGTATGGAGTGTAATTTAGGAACCGAA CATCATAGTACAGATACGTGGAATCGTAGTAAAACGGAACAAGCGGTTGTGGACGCATTT GATGAATCGTTGTTTGGTGATGTAGCATCGGATATTGGATCCGAAACGTCGTTATATTCA CATGCAGTTAAAACTGCTCCGTCTCCGCCTTGGGTAGCTAGCCCTAAAATTTTATATCAA CAGTTAATACGGGATCTTGATTTTTCAGAAGGGCCGCGTTTACTATCATGTCTTGAAACC TGGAACGAGGATTTATTCTCATGTTTTCCTATTAATGAGGACCTATATTCCGATATGATG GTTTTATCCCCGGATCCAGATGACGTTATCTCAACCGTTTCAACCAAAGACCATGTTGAA ATGTTTAATTTAACAACCCGGGGTTCCGTTCGATTGCCTAGTCCACCAAAGCAACCGACG GGGCTTCCAGCTTACGTTCAGGAGGTCCAGGATTCGTTTACCGTAGAACTACGCGCCCGG GAAGAAGCATACACAAAACTACTAGTTACTTATTGTAAATCGATTATACGTTATCTCCAA GGAACGGCGAAAAGGACGACAATAGGTCTTAATATACAAAACCCTGACCAGAAAGCTTAC ACGCAACTCAGGCAAAGTATTCTACTTAGATATTATCGTGAGGTGGCAAGTTTGGCGCGT CTTTTGTACCTACATTTATATTTAACCGTAACGCGTGAATTTTCCTGGCGTTTGTACGCC AGTCAATCTGCACACCCGGACGTGTTTGCGGCTTTAAAATTCACCTGGACCGAACGTCGA CAGTTCACGTGTGCGTTTCATCCTGTATTATGCAACCACGGCATTGTGTTATTAGAAGGG AAACCACTAACAGCGTCTGCCTTGAGGGAAATAAATTACCGCCGCCGAGAACTGGGACTG CCTCTAGTTAGATGTGGTCTTGTTGAAGAAAACAAATCTCCGTTGGTTCAACAACCCTCA TTTTCGGTTCATTTACCACGGTCGGTGGGTTTTCTTACCCACCACATTAAGCGTAAGTTA GACGCATATGCGGTCAAACATCCTCAAGAACCGAGACATGTACGAGCGGATCATCCTTAC GCAAAAGTTGTTGAAAATAGAAACTACGGTAGTAGCATCGAAGCTATGATTTTAGCACCT CCGTCCCCATCCGAGATCCTGCCGGGGGACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTCTGTCATGTGCTCTAAAGTCCCATATAT AAAAGAAGCCCCAACGAGTGTATGCGTATTGCGTACCGCGACCCTGGGATGTTTTACAGG CGCGTTTGTTTGTCTCGGTTATAAGTATGCAGTCGGGTCATTATAACCGGAGGCAATCCC GCCGACAGCGGATATCGTCTAATACCACAGACTCCCCCCGTCACACACACGGAACACGTT ATCGGTCAACCAATTGGTATACACACCCACCCCAGATATTGTCCAATTCAGAAACATTAG TTGCGGTTCAAGAACTACTGAACTCCGAGATGGATCAGGACAGCAGTTCTGACGCATCGG ATGATTTTCCGGGATACGCCTTACATCATTCTACATATAATGGATCCGAACAAAATACAT CAACTTCCAGACATGAAAATCGCATATTTAAATTAACGGAGAGGGAAGNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNTTATTTTACGTTAGACCCGGAAATAAGTTACAGTACCGATCTTCGCATTGCAAAGG TTATGGAGCCTGCGGTATCAAAGGAACTTAATGTATCAAAACGTTGCGTTGAACCTGTTA CCCTAACAGGCTCTATGTTAGCGCATAATGGGTTTGATGAGTCCTGGTTTGCTATGCGCG AATGTACCCGTCGCGAATATATTACGGTCCAAGGATTATACGACCCAATTCATTTACGGT ATCAGTTTGATACTTCCCGGATGACACCCCCACAGATTTTGAGAACTATACCAGCCCTTC CTAACATGACACTTGGTGAACTTTTATTGATTTTTCCTATTGAATTTATGGCCCAGCCAA TTTCTATAGAACGTATTTTAGTTGAAGATGTATTTTTAGATAGGCGGGCTTCCAGTAAAA CACATAAATACGGCCCGCGTTGGAATTCCGTCTACGCACTTCCATATAATGCGGGTAAAA TGTATGTACAACACATTCCTGGGTTTTATGACGTGTCCTTACGTGCTGTGGGCCAAGGAA CGGCCATTTGGCATCACATGATATTATCCACAGCAGCATGCGCTATTTCTAATCGCATTT CACATGGAGATGGATTAGGATTTTTGTTAGACGCGGCAATTCGTATTAGCGCAAACTGTA TTTTTTTGGGACGTAACGATAATTTTGGCGTGGGGGATCCATGTTGGTTAGAAGACCATC TTGCCGGATTACCACGAGAAGCCGTACCCGACGTACTCCAAGTGACACAGTTGGTTTTGC CAAATCGGGGTCCAACGGTTGCCATTATGCGTGGTTTTTTTGGGGCGTTGGCATATTGGC CCGAACTAAGAATTGCTATAAGTGAACCATCTACATCTTTGGTGCGATATGCTACCGGTC ACATGGAACTTGCCGAATGGTTTTTATTTTCACGTACACATAGTTTAAAGCCACAATTTA CCCCAACGGAACGGGAAATGTTAGCGTCATTTTTTACGTTGTATGTTACTCTTGGTGGAG GAATGTTGAACTGGATCTGTAGAGCAACTGCAATGTATTTAGCTGCTCCTTACCATTCCC GTTCGGCTTACATCGCGGTCTGTGAATCTCTGCCCTATTACTATATCCCGGTTAATAGTG ACCTGTTATGTGATTTAGAGGTATTACTGTTAGGCGAGGTCGACCTCCCAACTGTTTGTG AATCCTACGCAACTATTGCACACGAATTAACCGGATATGAGGCTGTTCGCACAGCAGCCA CAAATTTTATGATAGAGTTTGCCGATTGTTATAAGGAAAGTGAGACCGATTTAATGGTAA GCGCGTACCTGGGGGCCGTTTTATTGTTACAACGGGTGTTGGGTCATGCAAATCTTCTTT TGTTGCTTCTCTCCGGTGCTGCGTTGTACGGAGGATGTTCAATTTACATCCCCCGAGGTA TTTTAGATGCATATAATACTTTAATGTTGGCAGCAAGTCCTCTTTACGCTCACCAAACTT TAACATCCTTTTGGAAAGACCGCGATGATGCAATGCAAACTTTGGGGATTCGACCGACAA CGGACGTTTTACCCAAAGAGCAAGACAGGATAGTTCAGGCATCACCTATAGAGATGAACT TCCGTTTTGTGGGATTGGAGACCATCTATCCCCGAGAACAGCCCATTCCCTCCGTGGACC TAGCCGAAAATCTTATGCAATACAGGAATGAAATTCTGGGTTTGGATTGGAAAAGCGTAG CCATGCATTTACTACGAAAATATTAAGGGTTGTGATTTTTTTCATTAGGATGAAAAGAAC GTTTCCTAGCCACACCCACAAAGGAGTTTGTAAAATAAAATNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTCGACCTTTACAAGATATAATTTGT CCATATCGCAATGTTTTCTCGGTTTGCGCGTTCCTTTTCCAGCGATGATAGAACGCGTAA ATCTTATGATGGTAGTTACCAAAGTTTTAATGCCGGCGAACGTGATTTGCCCACACCTAC CCGGGACTGGTGTTCTATTTCCCAACGCATAACCAGCGAGCGCGTGAGGGATGGATGTCT TATTCCAACGCCCGGCGAGGCTTTGGAGACGGCGGTAAAGGCTTTATCTGAAAAGACCGA CAGCCTAACATCGCCGGTTTTACAAAGTACCGAAAGACACAGTGTTCTGCTTGGATTACA CCATAATAATGTTCCTGAATCGTTGGTGGTCTCGTGTATGTCTAACGATGTTCATGACGG GTTTATGCAGCGTTATATGGAAACAATTCAAAGATGTTTGGATGACCTGAAACTTTCTGG GGATGGACTTTGGTGGGTTTATGAAAATACATATTGGCAGTATCTCAAATACACCACAGG AGCCGAGGTACCGGTGACTTCAGAGAAGGTAAATAAAAAGTCTAAATCCACGGTTTTGTT GTTTTCATCCGTAGTTGCCAATAAACCAATATCCAGACATCCTTTTAAATCTAAAGTTAT AAATTCGGATTACCGGGGAATATGTCAGGAGCTACGTGAGGCGTTAGGAGCTGTGCAAAA GTATATGTATTTTATGCGTCCAGATGATCCTACAAACCCCAGCCCGGATACAAGAATACG TGTACAAGAAATTGCGGCTTACACGGCTACTGGCTACGGGTGGATGTTATGGTTCTTGGA CGTTGTGGACGCCAGGGTATGTCGCCATCTCAAACTTCAATTTCGACGGATTCGAGGGCC GCGCGCGTCTGTTATTCCAGATGATTTGCTTAGACGACATTTAAAAACGGGTCCTGCGGT CTCAGCGGGCACAGGAGTTGCGTTTATTTTAGCAGCAACAACTGCCAGCGCTCTTACTGC GCTTTTGCGTATTAGTGTATTATGGCGAAAGGAAGAGTGGCGGGATGGTTTAAATGGAAC CGCAGCTGCAATTGTTGCGGCGGTTGAACTTATTACGCTTTTGCACCACCATTTTCAATA CTTAATTAATATGATGCTTATTGGATATGCATGTTGGGGGGATGGGGGATTAAACGATCC TTATATATTAAAGGCGCTACGCGCCCAGGGACGGTTTTTATATTTTGCGGGTCAGTTGGT TAGAACAATGTCAACACACAGTTGGGTTGTGTTAGAGACCAGCACCCATATGTGGTTTTC CCGGGCCGTGGCGCAGAGTATTTTAGCACATGGGGGTAAACCCACAAAGTATTATGCTCA GGTTCTTGCCGCCAGTAAACGGTATACTCCGTTACATTTAAGACGTATATCCGAACCATC GAGTGTGTCTGATCAGCCGTATATTCGTTTTAATCGACTGGGATCTCCAATAGGGACAGG TATAGGGAATTTGGAATGTGTCTGTTTAACGGGAAATTATTTATCTGACGACGTAAATGC AAGTTCGCATGTAATTAATACGGAAGCACCGTTAAACAGTATAGCACCCGATACAAATAG ACAGCGGACTTCTCGCGTTTTAGTTCGTCCAGACACGGGTTTGGATGTAACTGTCCGAAA AAACCACTGTCTGGACATAGGCCATACGGACGGTAGTCCAGTTGACCCAACGTATCCTGA TCATTACACCCGGATAAAGGCGGAATATGAAGGTCCGGTTCGGGATGAATCAAACACAAT GTTTGACCAAAGATCGGATTTACGTCACATAGAAACCCAAGCATCTTTAAATGATCACGT ATATGAAAATATACCACCCAAGGAAGTGGGTTTTAACTCATCTTCAGACCCGGATGTGGA TAGCCTTAACGGGTACACCTCCGGAGACATGCATACAGACGATGACTTATCACCAGATTT TATACCCAACGACGTTCCCGTTAGATGTAAAACCACGGTTACGTTTAGGAAAAATACGCC TAAGAGTCATCATTAAGTACAGCGGTTAATAGATAGTTATGGACTAGGCACTTTGGCGGT CATTTCCACAACCAGGTTAAAATTGGGGGATTTGGGAGAAAATAGTCTATTGCGTATTTT CTGTTCAATAATTGGACTGCGTTATTTAAAGGTCTGATTGGTTGATTGGGTTATAAAAGG AATTACTCCTTTAAATTTTACTTAATGTACCCACAATATCAAGTGGTCGTTTGTATTTAA CGATTATTACCGGTACCATGGGAGACTTGTCATGTTGGACAAAAGTGCCGGGTTTTACGT TAACCGGCGAACTTCAGTACTTAAAACAAGTGGATGATATTTTAAGGTATGGAGTTCGGA AACGCGATCGAACAGGAATCGGAACGTTATCTTTATTTGGAATGCAAGCTCGATACAATT TGCGAAATGAATTTCCTCTTTTAACTACAAAGCGTGTTTTTTGGAGGGCCGTCGTGGAAG AGTTGTTATGGTTTATCCGCGGGTCAACCGATTCCAAAGAACTCGCCGCTAAAGATATAC ACATATGGGATATATACGGATCGAGCAAATTTCTAAATAGGAATGGCTTCCATAAAAGAC ACACGGGGGACCTTGGCCCCATTTACGGCTTCCAGTGGAGACATTTTGGAGCGGAATATA AAGACTGTCAATCAAACTATTTACAGCAAGGAATCGATCAGCTGCAAACTGTTATAGATA CAATTAAAACAAACCCAGAAAGCCGACGAATGATTATATCGTCTTGGAATCCAAAGGATA TCCCCTTAATGGTACTACCTCCATGTCACACGTTATGTCAGTTTTACGTTGCAAACGGTG AATTATCCTGCCAAGTATACCAGAGATCGGGGGATATGGGCCTTGGGGTACCGTTCAACA TTGCTGGATATGCACTTCTTACCTACATAGTAGCGCATGTTACAGGACTTAAAACCGGAG ATTTAATTCATACAATGGGGGATGCACATATTTACTTGAATCATATAGATGCTTTAAAAG TGCAGCTAGCTCGATCCCCAAAACCTTTTCCTTGCCTTAAAATTATTCGAAATGTAACAG ATATAAACGACTTTAAATGGGACGATTTTCAGCTTGATGGATATAATCCACACCCCCCCC TAAAAATGGAAATGGCTCTTTAATGGATTTTTAAANNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTCCAC CGAACACGTACCGAGTGCGGTGGATAATACTTTGATACGTTACAGTAGGCTGTGTATGTC TGTCCGGTTAAGACTGGATCGCCGACAACGGTAATATTTGGACGATAATACGTTGTAACT GTAATACTGTGTTCCGATATGACGTTCTTAGTTTTTGTATTAACGACTCGCCAAATATAC GTTCCCTCCGTGGTAGCATCCATAGATAAAATTGTTACAGAAAAATCAGACGTTGTTTTA ACATCTGGTATTACATAATTTTCCTTAGCGTGTGTAAATATCTCAGGGTTGTTTATTAAG TTTAAATCGGCACTGTTGCTATATAACATAACCGGTAAATCTGGCATGCGTATTAACGCA TTGCCCAGTTGACGGTGCGGATCTATAAGGTGACGCGTAAACCAAACTTCAATATGAAGA TCGGGGCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNCGATACATATGTACCACATAGATAGCATAGATTTATTATAATA TAAACACACACGTGATATACTTTAGTGATATGAGATGCCATAAAACAGTCAATAGGTTTA ACGCTTAGTCTCATCATCTGAATACACGTCAAACCCGCCGCAACTGTTGATGTTAGAATT ATAATAGCTCCCCATGAAATGCCGGCAAATGTTACAGCTATACCCGTCACCGAGGTCGTT GTATATAATACAATTACCCATAGGTTTTTTTTTTCTTGATATAAAACGGCAAAACCCTGT AACCCAAATGCTATAATATGACCTCCTATTGAAACTGCTAACGTTACTTGTGTAAGTTTG ATAAAATGATTTAATTTAATTATATGTGAGATTGCCCACATTAATGGGGTAACTATATAT AACACCGGGGGTATAACAGACATTATACGAATTCCTTTAAACACGCGTTTAAGGGTCCGG GAACTTTCTCGATGGTCACATACTCTCCCGCGGTCATTTTGTGTATATACAACGGCAAAA CCTAAATCTGTATAAGTGTTTAATTGCTTATGGCGATTTTTACGATATATACACGTATCT TGCAAATCGGTGGCGGCATCGACAATTGAAACTAGTGTGACAATAGATATACACAATCCA ATAAGAACCTCATATTTACTGACATACATATATAAAATAACGGTTAGTAAACCTCCCAAC CCAGTTCCCAACATCATAACATAAAAATAAATATGCGGTCCATTGAATGTCGTAACAAAG TTGTAGTAATGGATATGCACAGCAGCCACTGTTCCGGTAATCGCGGATATGGAAATTCCC AGTAATTCTACAAATGGAAGATCCCGGGATATTGGGCAACCAACCGCCCATAACACAGCA AAACCCAACACGACCACCGTCTGCAAACATCGTCCCAATTTTGCTAATGTGCGTAGAAAT TTCACGGATGTTGGCCATAACCCCGAAACGACGATCAACCCCATAATAGTTGCATTGACG GCAGCTTCGCAGACGTGATATTGTAAAATTAACCCGGACGTGATAACACTTGCTTGTAGT CCCACGAGAAACAACCGCGATGCTGAGGTTATTGCACACGAATTACATTCTTGAGGGTTT CCGACACATCCTTGGATTGATTGAGCGCGGATTAATTCTCTGTCTAACACACCCAGGTTT TCATCATGGACAGCTCTTTCACCATTCACGGCCATGTCTTAAGTTTAATAATTCAAAACA AATAAAAATGTGTTCATCTATGGTACACACAAGTTTGTATGTAAAATATAAGCAAAAGTT GCACTTATTTAACTGTACATATTACGTCAGATTCACGTGATAATTCAGAATAATCCAGGG TTCCTGCAGGGTCCACTGGAGGAGCCACACAATATTCGCGAATTCCGATTCCCTCCTGCC ATGTGGTTTCGGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTTTTTTCGTTTCTTTTTG TTAATAAATTGCGTCTTTTTTTTAATGGTGGTTCATCCTTCACAGATTCCATGTTCGCAA ATAATTGCATCGAGGTTAATTTTTCTTTAAGGTCTTTGGGACTTAAGAACGTTGCATAAA AAAAAGAATGCACGGGTGCGGAACGTTGGATATACAATCCAACCATGGGGGAGTTAGTTA AGGCGAGATAAAAATTAATATAACACGTCTCATCCCGTGTTAACTTAAGATTTTGTACGG CAGAACGGAATCCACTGTGTGTTTCCAATAATACTCCAAATTCACGCATACTCCCGCTGC CATAAACAACATTATTAAGGATCCTTTTTGAATTTGTGATTGAGCGTATTAAATTATATG GTGTAGGCTTGCTTCCGTTTATATCCAAGGAAACATTAAATGAGATAAAACCACCCCCGG CGGTCTGGATGTACATATCCGTGGCTGTTAGAATGAAGCATGTTGTAAACCCAAAAGTTT TAAGTAGTCGCTGTAAACGGGTGAATTGATCGCGTTTTAAGCAAATGCTTATATCTGGAG TTAGATTTGGGAACATCATTGTATAACAAGCGAGTTCACGTTTTACAACTTGTTTGTAAC ATTGTACTTGATCATCTGGACCACAATCACCCGGGCGTTGCCATACCATCGTTTGGATAA TACTCCGCTCGGGGGGTTGTCCGGTGAATTTAAAATATAACCGTGTTGGGGTCGACGGAT CTTTTGTATGGCGAAACGCGTCAATAAGCGAGGACCGTCCCTCCGTTGCCGCGAGTACAA CCATTCTCGGCCCAGTCCAATTATACTGGTCAAACATATTTGCCGGTATAGGAATATACA GTTGTTCTGTTTCCAAACTACAGTGAATAATTAATCCTTCGTCGCTGAATATTAAAATAG AATCCCTTAGTCTATTAACCAGAGGTGATATAGACGAAATTAAACCAGTAAGCGTTTTTT CCGTTAAAACAGCTCTGGCGATTTCTGGGGCGTCAAAACCCGCATGCAATTCCATGTCCA AAGCATCGTCTGTACGCGACCTCAAATCCATAATTTACTACTTAAAATGTTTACTATAGA AAAAGTAATCATATGTAAACACACGAGTTTCGTTAATATGTTTGTTTAACCCGATCCGGT GACTTAAGTACATNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCTGAAGCCGCTGTGAAACCTTTCACAAGAC GATATAAACTTGGTTAAGTGTATTGATGGGGCTCTTTGGACTGACACGCTTTATCCATGA ACATAAACTGGTTAAACCCAGCATCATTTCAACGCCACCCGGAGTTTTAACCCCCGTGGC GGTAGACGTATGGAACGTCATGTACACATTGTTGGAACGTTTATACCCTGTGGGTAAACG CGAGAATTTACACGGACCATCTGTAACGATACATTGTCTTGGAGTCTTATTGCGGCTATT AACACAACGGTCATACTATCCGATATTTGTATTGGAACGTTGTACAGACGGCCCATTATC ACGTGGAGCCAAGGCAATTATGTCACGGGCCATGAACCACGATGAAAGGGGAACCTCGGA CTTAACCCGTGTTCTACTATCATCCAACACATCATGTTCTATCAAGTATAACAAAACATC GGAAACATATGACAGTGTGTTTCGAAACTCTTCCGCGAGTTGTATTCCTAGCGAAGAAAA CAAATCCCAGGATATGTTTTTGGACGGTTGTCCACGACAAACTGACAAGATGATCTGCCT GCGCGACCAAAACGTATGCAGTCTTACCTCTACAATGCCATCCCGAGGACATCCTAACCA TCGATTATATCACAAATTGTGTGCAAGTCTTATTAGATGGATGGGGTATGCATACGTCGA GGCGGTTGACATTGAGGCGGACGAGGCATGTGCAAACTTATTTCATACGCGTACAGTGGC TTTGGTTTATACGACAGATACTGATTTACTCTTCATGGGCTGTGATATTTTGTTAGATGC AATTCCTATGTTTGCTCCAGTAGTACGATGTCGCGATTTGCTTCAATATTTAGGAATTAC ATACCCTGAATTTTTGGTTGCCTTTGTTCGCTGTCAGACCGATTTGCATACAAGTGACAA CCTAAAATCTGTTCAGCAAGTTATTCAGGATACCGGCCTGAAAATTCCACATCAAATGGA CACTTCAACGCGCTCCCCCACTTACGACTCGTGGAGACATGGCGAGGTTTTCAAAAGTCT TACCGTAGCCACGTCGGGTAAAACAGAAAACGGAGTGTCCGTTTCCAAATATGCATCTAA CCGATCGGANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNACTTAATGGTTCATTGTTTTATTTTGCTCGT ATATACATGTTATAAATCGTTTATCACTGTGCCCGCATAAGATGTACTGTGTCTCTCAAA AAAATTTGTGTTTTTATCTGCAATCATAAATGCAAGTGGAAAGTCCGAATCTGGAGGTGG GGTGTTAAATAGTTTTGGTACATTAATCGCTGATAAAAGCCTGTCCGCGCTGAATTTCAC GTATTGTGTAATTGCATCGACGTTCACCAAACGGGTTTTGGGTGCATGGGATTTTAAAAA CGCACACTCGATTTCAACGGCTTCCGAAAACAGTTGATGTATTCTGGTGATAGCGGGTTT TTCGGGTACATAGTTATTGTATATACAACACGATGCGCTGGTATGTATGGCTTCATCTCG GCTTATAAGGTCGTTAAATTGACAAGTTACAACAAATAGTCCGTTATTGCGTAAATATGC AATAGCCGCGAACGATGATACAAAAAAAATGCCCTCTATAAGAATCATTAGTATATATTT TTCTGCAACGGATGGGTTGTCCCGTACCTTTTCTTCCAACCATTGTACTTTTTGTTGGAT CGACGGATTATTAATAGTGACATTTACGTATTGTACCCGCAACGATTCATCCCCTCTGAA CAACATTAGTTGAATTTGACTATAGACACGCGCGTGGACAACCTCGATGCACTCTTGTTC AATGTAGTAATGGTGAATATCCTTTTGGGAAAAGAGTTGGGTTAGAGAGCCCAAATTAAC ATTTACCAGATCATCTGCCGCCGATAAAAATGTAAAAATAAATCTGTAGAATATTAGTTC ATCTTCCGTTAAACAGTCCAAGTATTGATAATCATCTTCAATGATAAAATCGCTTTCTAA CCAACGATTCGAAATGCTCAGGGCACGTAAATTGTTTATATCTGGACACTCCGGCCTGTA AAAAAAATGACTGCAATCTTTCTGATCCATTTTGGAATAGTTTCCCGTGTAAATTTATAA AGCACAACTGGTACAGGTTAATTCGCCTCCCGCAAACAGTCCGCTGTTTGTAGCTTTACG AATTTTACAGTAGTACATACCCGTTTTAAGGCCGGCTTTATAGGCACGTATAAGCAAATT CATTATTTTGGAGGCGGGAATTGTCCCGTCTGGGCGTTCCTCAATAAATAAAGTCATTGA TTGACTTTGGTCAATAAATGGCGCCCTTTCTGCACACATATCAACGAGATCCTCTTGCTC ATATTCAAACGCTGTTTTATATTTTAAGAGTGGGTGACTATTAGATAAACAGCCAAACGA ACGTATTACTGACCATTGGTTTTTCTCAAGTATGTTTATAACTTCCAGTCGTTTTTCTTC ACATGAATACATATCTCTTAGTTCGTCCATAAGGTCTAAGTTGGGTCTAAGTAACTCACC CGAGGTGGTGACCTTACTAAACATATTATTATAAATTGGAGAGAAACCCTCACTGCACTC CGTTACCTGTGCAGATGAAACTGTGGGCATTAACGCTAAGAACTGCGAGTTGTATAACCC ATAAGCGCAAATATCATCTCGCAGGGTACACCATGGTAAATCTAAATAACTTATCGTAGA AAACCCATCTTGGTGTAACCATCCCTTAGCATATTTACTTTCGGTAAAACCCTTAAACGG GGCTAAGCCGCCAATCTTACACATTTCCATGCTTGTTTTCATTGTCTCATACAACATTAA CTCCGCTATTTGTACATTTAACCGTCTAGCTGGTTGGGAAGTTAAATCAAATCCTAAGCG GAGACAAGTTGTATGTAACCCTTGTATGCCAATGCCAAGTGATCGGTTGTTTTTTACACC TTTACATGATTTTTTACATGGAAAGTTCCCAGCCGCCAGGACCCCGTTTAAAAAAATAAC AGTCGTTCTTGCTGTCAATTGAAGGTCGTTTAAATTAAATGACACTGGGCCTTTGGATAA GCACGTTGTAAGATTTATGCTGGCAAGATTACATACGCCATGTTGATGAGCGTCTGCCTT TTGAACAATTTCCGTACACAAATTTGACCCCGTGATAGCATTTCCTTGGGTATTCATATG ATAATTACGATTACAGGCATCTTTGAACATTAAAAAGGGGCTTCCTGTTACAGCAGCACT GCGTATGATTGTGAATGCGATATCTTGAATGGGAACAGAAGAAACGCCTAATCCTTCTCT CTCTAAACGTAAATAGGTTGAAGTGAATGCCTCCCCGTGTAATGTTCGAAGGATATCGGC TCTGTTATCAAAAAGAGTCCACTGAACATTACTAGCCCCTTTTAGATAGCTTAGGTATCT TTCAAAAAATAAATCTGGGGTCCATAAACAACAAAATATGTTATCACATCGAAATATTTC ATCACGAACCAACATTCCACGTGTGGCCAAAACAGTTTGTAGATCGACGTGCCATGGTTC TATGTAAACACAAACTCCAGTTGGTCGTTCACAATCACTGTTAATTGCCATAACCATGCA ATCTAAAAGTTTTAAAACTGCAAGAAGACCTTTCGTTTGATTTTCCGTAGGTATTAAATT CAGACTCTGTAGAGAAATTCCCACTCCGCCTCGACTTTGTAATACCGTTCCCACATCGCC TGTGATAGCTCGAACAGCTCTCCCAACAGTGATGGATTCCGGGTCCATTAAATAACAACT GGCCGTTGCCCCGGTCTCTCGACCTAAAAACATCATAACCGGTGTAGCCGGGACAATTTT CTGACATGCCAACGCTGTGAAAAATACCCGACAGACATCAGTCCATGTATAACCATCATT TATTCCGGGAATAAGAGTTGCGATTTTAGGCAGGTTTACGATTTCTGTTGTCACGGTGGC CGCCAGTCTTAAAAAGAATTGGCAAAGCGACTCTAATTTACCTTCCTCTAACTTAGTTAA ATAAAAGTCTTCGTACTTTAAAGCAGACTGTAGTCCAAGGGTAGCTAAAGCGGGGTATTG ATCTTTCAAAAACGGTTCTAATATAGCCCGACGAATTTCGTCCCTCCGCCCTTCAATTGC TTGGCGGACTCGGGGAGTTAAACAGAGAATTGGGGAAGTCAACCACGTTTCCATGGAAAC GGATCGTAGGTTAATACGGCAATGGATAAGTTCTCCACAACATCGGTACACTCGCTCATC TTGTCGCGTCACCGCCTTAAGTTTTGAGACGATAGTGCTAATATACTCCATTAATTCCAC CGGTGTGGTTGATTCGGGCGGAATGATGTATTCCTTGTAGCCATGTTGACATAATCGGTT TATAATGTCATGAACCGATTANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCATTCGTTCCA TGTATTTGTACCCCCCCACACAACCCCCTCTAACCAAATAGTTGGCACGTTATAACCTCC GAACCGTTCCATGCGTCTTGTATAACGCACAGACTCTGATGGAATTGTTCCAATTAACGT ATATGCCGCATACATGCAGGATAATTGTGTGGGAAGTCCCCGAAAATCGCCGGTCCATTG ATACAATCGCTGTCTAGCCAAGTTCCAATTTACTCCTGTAATTTCGCCAATACTACATCG AGGGCTTGTCGGGTCATTGGATAACTGCACAAGCGGCAACGCCCTTGTGTTATATGGCTG GTGGGTATTTGCAACCCCTTCAGTCCCCCAGGCGGCATTTTCAGCTCGTATGCGTCCTAA CAGGAAGCCAATACCACGACCAAAACATTGTTCGTTTAGTTGGCTTAATGCAAGATGCAG TCTTACACCTTCTCGTTGGCGTCGCTGTGTATATACAAAAACCAAGAACACATGCTTCAG TCCGTCCGCGGAAAGATGTAAGTCTTTGTCAACGTCCCAAAATACGCAGGCCGGGATGTT GGCTGTGACCCTGCGAGTTGAAGTTTTGTCTGTACGTGCAGCTTCTTGGGGACCTTTGGC CACGGCGGTTATATTGCATAAATTATCCTGAATGGTATATTCCAGCAGGGACCCAAAAAA ACTTATAAATCGATGTGGAAATACATGACATTGTACCATCGCACGTAAACACTCCGAAAA CCTTATGAGCCGCGTTTCCATACGACTGCATCCATAGGCAGAAACAATTGCTGTTCTGTT GGCATCTGCTGCCTGTTTATCCGTATATTCTTCTGCCCGGCATGCGGCGATGAAACTTAA TGACGTTACATATGCTCTAAGCCCCCCACCTTCTCCAACGGTCCAAGGAGCCGTGCAGGC ATTGAATAGGTTTCGTAAACCCTCTAGTATTACATCGGGGTCACGTCCAGCCTGTGTAAG TGTATTAGCTTCTCCAATCATGTCAGATGGATGACGAAGGATTAAGACGATTGACCCAGC ATGCTCAATGTCCGGACGAAAAAAATCGGTTAATGACACTTGTTGGATTAGCTGTGTCGT TGATTTAAAATTATTTAACGGGAGTCTAATGGTAACTTGCGGGTTACCAATTGAAGTTGG ATTTATTTGAATGTTGTTCATGCGATTAATAACAATTGAACGGGGGGTTACTTGAATAGA CGCGGTTTCTGTACGTTTTGGTGGTCCATGTATCGGTTGTTTGTTCAGACCTCCAAAGCG AGGGCCAATTGTTAAATCGCGACTCCAATTTCCGAAGAAGCCCGGAGCATAAGTCATATG AAGCCCGTTCCCTATTTGAATAAAACGGTTATTTCCTAAAAGACTGATATTAGTTCCACA TAGCGTTTGTTCGTTTAAAGTAAAATGCGAGTTGGTTGGTTGACTCCCCATAGCTGAGGG GGTAAATTCACACAATGCAATCGTGACGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCCCTGCATTCTAATATCTG TTTTGTATATTCCAATACATTTTTGGCGGAGGCTGCTTTCACGGCCGAAAATTTACCCGG ACTGTTGTTTTGGAGACTAGATCTAGACTGGACGATAGAGGAGCCAGGTAATAGCTTAAA AATTTTAACCCAGCTATCAAGTGTAGTACAAGATTCCGAGACGTTACATCGTTTATCGGC CAATAAATTACGAACCTCGTCTAAATTTGGACCCGTTTCGATACACTTCATTATAACGGA CTGGATAAATATGTACGAGGTCGCCTTAAAGGATGCAACAACAGCCATTGAATCACCATT CACTCACGCTCGTATTGGAATGTTGGAAAGCGCCATTGCAGCTTTAACACAACATAAATT TGCGATCATTTACGATATGCCATTTGTTCAAGAGGGGATTCGTGTTTTAACACAATATGC AGGATGGCTTCTTCCGTTTAATGTTATGTGGAATCAGATTCAAAATAGCTCACTCACTCC TCTAACACGAGCCCTTTTTATAATCTGTATGATTGATGAATATCTCACGGAAACGCCAGT ACATAGCATATCAGAATTATTTGCAGATACTGTAAATTTAATTAAAGATGAGGCGTTCGT ATCCATCGAAGAAGCGGTAACGAATCCACGAACGGTGCACGAGTCACGAATTTCTTCAGC TCTGGCTTATCGAGACCCTTATGTTTTTGAGACATCCCCGGGAATGCTTGCTAGGAGACT TAGATTAGACAATGGTATATGGGAAAGCAACCTCTTATCGTTGTCCACCCCCGGAATTCA TATTGAGGCGCTGTTACATTTACTAAACTCCGACCCGGAAGCGGAAACCACATCTGGAAG TAATGTAGCAGAACACACCCGTGGCATTTGGGAAAAGGTTCAGGCTAGTACATCGCCTAG TATGTTAATAAGCACCCTTGCCGAATCCGGGTTTACAAGATTTTCATGCAAATTGCTACG TCGGTTTATTGCTCACCACACACTCGCCGGTTTTATTCACGGAAGCGTTGTAGCAGACGA GCATATTACAGATTTCCAACAAACACTAGGATGTCTCGCTTTAGTGGGTGGACTGGCATA CCAATTAGTGGAAACGTACGCTCCTACTACCGAGTATGTGTTAACATATACACGGACAGT AAACGAGACCGAAAAACGGTATGAAACGCTATTACCCGCCTTAGGATTACCACCGGGAGG CCTGGGACAAATTATGCGGCGCTGTTTTGCTCCACGACCCCTTATTGAAAGTATACAAGC GACACGCGTAATACTACTTAATGAAATTTCTCATGCAGAAGCTAGAGAGACAACATATTT TAAGCAAACACATAATCAATCCTCAGGTGCGTTATTACCACAAGCNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTGGATTCAAGATGGGGTATTACTCC CCCGGTGGATGTGGGTATGACACCTCCTATTTGTGTTGATCCACCGGCTACAGGGTTGGA AGCTGTCATGATAACAGAAGCACTAAAGATTGCATATCCTACCGAATATAATCGCTCTAG CGTGTTTGTGGAACCGTCGTTTGTGCCTTATATTATTGCAACAAGCACGCTTGATGCCCT TTCGGCAACAATAGCTTTGTCTTTTGATACACGGGGAATACAGCAAGCCTTGTCTATTCT TCAGTGGGCTCGCGATTATGGATCCGGAACCGTGCCCAATGCAGATGGATATCGCACAAA ACTATCTGCTCTTATAACAATATTAGAACCTTTTACCCGTACACACCCCCCAGTACTTTT ACCATCTCACGTTTCTACTATAGATTCCCTTATATGCGAACTTCATCGGACTGTTGGCAT TGCCGTTGACCTGCTTCCCCAGCACGTCCGTCCTTTGGTTCCTGACCGTCCTTCTATTAC AAATAGCGTTTTTTTAGCAACTCTCTATTATGATGAACTTTACGGTCGTTGGACCCGACT GGATAAAACATCGCAGGCGTTGGTTGAAAATTTTACATCCAACGCGTTAGTGGTTTCTCG GTACATGTTAATGTTACAAAAATTTTTTGCGTGTCGTTTTTATCCAACGCCAGATCTTCA GGCCGTTGGTATCTGTAACCCAAAGGTTGAACGCGATGAACAATTTGGGGTATGGCGTTT AAACGATCTTGCTGATGCGGTTGGTCATATTGTTGGGACAATACAAGGAATCCGAACGCA AATGAGAGTGGGAATATCCAGCCTGCGCACAATTATGGCCGATGCTTCCTCAGCCCTTAG GGAATGTGAAAATTTAATGACTAAAACCTCCACTTCTGCTATTGGGCCTCTTTTTTCAAC GATGGCTTCCCGGTATGCACGGTTTACACAGGATCAAATGGACATTTTAATGCGTGTTGA CAAACTAACAACAGGAGAAAATATACCCGGTCTTGCAAATGTAGAGATTTTTTTAAATAG GTGGGAACGAATAGCAACAGCTTGTAGGCATGCCACGGCAGTCCCGTCTGCCGAATCTAT TGCAACCGTGTGTAATGAATTGAGGCGCGGTTTAAAAAATATACAAGAGGATCGTGTAAA TGCCCCAACCTCATATATGAGTCACGCCCGAAATCTGGAAGATCACAAGGCAGCAGTTTC ATTCGTTATGGACTCCAGGCAACAGTTTATTGTGGATTCTGGACCTCAGATGGGCGCGGT TTTAACTTCACAATGTAATATAGGAACATGGGAGAATGTAAATGCAACGTTTTTACACGA CAACGTTAAAATAACGACAACGGTCAGAGACGTAATTTCAGAGGCTCCGACGCTGATAAT AGGACAAAGATGGCTTCGTCCAGATGAGATTTTATCTAATGTAGATTTGCGTCTTGGCGT ACCCGGGAATACAAGTGGGAGTGACCCTTAATATAAAACAGGCGTGTTTATGTACATTAA AGTATTTGTGGTTTTTATTGACTGGGCGTTTCGTTTGTATAACGCTGTTGTTGCTAGTAT TTTCATAACCTCCTAGGTTTTTGGAGCTACACGTGCTTATTCAACGCTCTTTGGGATTTG AATCATCGTAAACGTAGCGTCCCTACCAGTTGAGCGCGTAATTTTCGTAAGCAATAAAAT GGATATAATTCCGCCTATAGCTGTCACTGTTGCGGGAGTGGGAAGCCGTAATCAATTTGA CGGTGCCCTGGGACCGGCGTCAGGTCTGTCATGTTTAAGAACATCTTTATCGTTTTTGCA TATGACATATGCGCATGGAATTAATGCAACCCTGTCATCAGACATGATTGATGGATGTTT ACAAGAGGGTGCAGCATGGACTACGGATCTGTCTAATATGGGGAGGGGTGTCCCAGATAT GTGTGCTCTTGTTGATCTCCCCAATCGAATTTCATATATTAAACTGGGGGACACTACCAG TACGTGCTGCGTTTTGTCTAGAATATACGGCGATAGCCATTTTTTTACCGTTCCAGACGA GGGTTTTATGTGCACACAAATTCCCGCTAGAGCGTTTTTCGATGATGTGTGGATGGGACG TGAAGAGTCGTATACAATTATAACTGTAGACTCAACGGGAATGGCCATCTATCGTCAGGG AAACATATCTTTTATTTTTGATCCACATGGCCATGGGACTATAGGACAGGCTGTAGTTGT TCGGGTGAATACCACGGATGTGTACTCTTATATCGCATCGGAGTATACCCACCGCCCCGA TAACGTAGAATCCCAATGGGCCGCTGCATTAGTTTTTTTTGTCACCGCAAACGACGGTCC CGTAAGCGAAGAAGCGCTATCTTCGGCAGTAACGCTTATATACGGAAGCTGTGATACATA TTTTACAGATGAACAATATTGCGAAAAACTGGTTACAGCTCAACATCCGTTGCTTCTTTC ACCTCCTAATTCCACGACAATTGTGCTTAATAAATCGTCTATAGTACCTCTTCACCAAAA CGTTGGTGAAAGTGTATCCTTGGAAGCAACCCTACATTCAACGTTAACCAACACGGTTGC ACTGGACCCTAGATGTAGTTACAGCGAGGTTGATCCTTGGCATGCGGTTCTAGAAACAAC CTCGACTGGGTCTGGCGTTTTGGATTGTCGTCGTAGACGCCGTCCTTCATGGACTCCTCC TTCAAGCGAGGAAAATTTAGCTTGTATCGACGATGGCTTGGTAAATAATACACATTCCAC GGATAATTTACATAAACCCGCTAAAAAGGTTCTCAAATTTAAACCAACTGTAGACGTGCC GGATAAAACACAAGTGGCACATGTATTACCCCGCCTACGAGAAGTTGCTAACACCCCAGA CGTTGTGTTAAATGTATCCAATGTAGATACGCCTGAATCCAGTCCCACTTTTTCACGGAA CATGAATGTAGGAAGCAGTTTGAAAGATCGGAAGCCATTTCTATTTGAACAGAGTGGTGA TGTCAACATGGTTGTCGAAAAACTACTACAACATGGGCATGAAATTAGCAATGGATACGT ACAAAATGCGGTGGGTACGTTGGATACTGTTATTACCGGTCATACAAATGTTCCCATTTG GGTAACAAGGCCCTTGGTCATGCCAGACGAAAAGGATCCATTGGAGCTTTTTATTAACCT CACCATTTTGCGTTTAACGGGATTTGTGGTGGAAAATGGAACACGTACACATCATGGTGC TACAAGCGTTGTATCAGACTTTATAGGTCCCCTTGGGGAAATTTTAACAGGATTTCCCTC CGCCGCGGAACTTATACGCGTTACAAGTTTGATATTAACAAACATGCCGGGGGCGGAATA TGCTATTAAAACTGTTCTCCGGAAAAAATGTACAATTGGCATGCTCATTATCGCTAAGTT TGGTCTAGTTGCCATGCGGGTTCAGGATACAACCGGCGCTTTACATGCCGAACTAGATGT GTTAGAAGCGGATCTAGGAGGTTCGTCGCCCATAGACCTCTATTCTAGACTGTCGACAGG TCTTATAAGTATACTAAATTCGCCTATTATTTCTCATCCCGGACTTTTTGCCGAGCTTAT TCCAACCCGTACAGGGTCCCTGTCTGAACGAATACGTCTTCTTTGTGAATTAGTCTCGGC CCGGGAGACACGCTATATGCGTGAACACACCGCGCTTGTTTCTAGTGTAAAGGCTTTAGA GAATGCATTACGGTCTACCCGCAATAAAATTGATGCCATTCAAATACCAGAAGTTCCCCA GGAACCCCCGGAAGAAACCGACATTCCACCCGAAGAGTTAATTCGGCGTGTATATGAGAT ACGATCCGAAGTTACAATGCTATTGACCTCGGCTGTTACAGAATACTTCACCCGCGGAGT GTTATATAGCACACGGGCCTTGATCGCTGAACAATCCCCTAGGCGTTTTCGGGTCGCGAC CGCAAGTACGGCACCCATTCAACGGCTTTTAGATTCTCTTCCGGAATTCGACGCTAAATT AACGGCAATCATATCGTCCCTGTCTATACACCCTCCTCCTGAGACTATACAAAATCTCCC CGTCGTATCTCTGTTAAAAGAGCTTATTAAAGAAGGGGAAGATTTAAACACAGACACGGC TCTCGTATCGTGGTTATCTGTAGTCGGGGAAGCTCAAACCGCAGGTTACTTATCCAGACG AGAGTTCGATGAATTATCACGTACAATTAAAACCATTAATACACGCGCAACGCAACGGGC TTCCGCGGAAGCAGAGTTGTCTTGCTTTAATACGCTAAGCGCGGCCGTAGACCAAGCCGT AAAGGACTATGAAACATATAACAATGGTGAGGTCAAGTATCCTGAAATAACACGGGATGA TTTATTAGCAACAATTGTACGTGCTACAGACGATTTGGTGCGACAGATAAAAATNNNNNN NNATCCAATGATCCAATCCGGTTTACAACCTTCGATTAAAAGACGATTGGAAACAAGGCT TAAAGAGGTTCAGACGTATGCAAACGAGGCCCGAACCACACAGGACACAATAAAGAGTCG AAAACAGGCGGCATATAATAAACTCGGGGGGTTACTTCGCCCGGTAACCGGTTTTGTGGG ACTTAGGGCTGCAGTAGATTTATTACCGGAACTTGCTTCTGAGTTAGATGTCCAAGGAGC CCTGGTAAATCTCAGGACCAAAGTCTTAGAGGCGCCGGTAGAGATCCGTTCTCAACTTAC GGGTGATTTCTGGGCGTTATTTAACCAATATCGAGACATTTTAGAACATCCCGGAAACGC ACGCACATCTGTCTTAGGAGGACTGGGAGCTTGTTTTACAGCTATTATCGAAATTGTGCC GATACCTACGGAGTATAGACCATCATTGCTTGCGTTTTTTGGTGACGTGGCAGATGTGCT TGCATCCGACATCGCGACCGTATCTACTAACCCGGAAAGTGAGTCCGCCATAAACGCTGT TGTTGCAACTCTTAGTAAAGCGACGTTAGTTTCATCTACAGTGCCAGCCTTATCCTTTGT GTTGTCGTTATATAAAAAATATCAGGCTTTACAACAAGAAATTACGAATACCCATAAGTT GACTGAATTACAAAAACGACTTGGAGATGACTTCTCCACCCTAGCTGTCTCATCTGGACA CTTGAAGTTTATATCATCTTCAAATGTAGATGATTATGAAATAAACGATGCGATATTATC AATACAAACAAATGTGCACGCCCTAATGGATACGGTTAAACTTGTTGAAGTTGAACTGCA AAAGCTACCCCCCCATTGTATTGCTGGGACATCTACCTTATCTCGAGTAGTAAAGGATCT TCATAAACTCGTCACAATGGCACATGAGAAGAAGGAACAGGCAAAAGTGTTAATTACCGA TTGTGAACGTGCACATAAACAACAAACGACTCGGGTTTTGTATGAGCGTTGGACACGTGA TATTATAGCATGTCTGGAGGCAATGGAAACGCGCCATATATTTAACGGGACAGAACTGGC ACGGTTGCGAGATATGGCCGCTGCGGGAGGGTTTGATATACACGCAGTTTACCCACAAGC ACGTCAGGTTGTAGCGGCATGTGAAACTACAGCCGTTACGGCATTAGATACTGTGTTTCG CCACAATCCATATACCCCCGAAAATACAAATATTCCCCCACCTTTGGCTTTGTTAAGAGG GTTAACATGGTTTGATGATTTTTCGATTACGGCTCCCGTATTCACCGTTATGTTTCCAGG TGTTAGTATTGAGGGACTCCTTCTGCTTATGCGTATTCGCGCGGTTGTGTTATTATCCGC CGATACGTCTATTAATGGAATACCTAACTACAGAGATATGATATTACGAACCTCGGGGGA TCTATTACAAATACCCGCATTGGCTGGGTATGTTGATTTTTACACACGGTCTTATGATCA GTTTATAACCGAAAGTGTAACGTTAAGTGAACTTAGAGCAGACATCAGACAGGCTGCCGG GGCTAAACTTACAGAAGCAAATAAGGCTTTGGAGGAAGTAACTCATGTTCGGGCACACGA AACGGCTAAACTTGCACTTAAAGAAGGTGTCTTCATTACATTACCAAGCGAAGGTTTATT GATTCGGGCTATAGAGTATTTTACAACTTTCGATCATAAACGATTTATAGGAACGGCATA TGAAAGAGTTTTACAAACAATGGTAGACCGCGATCTAAAGGAGGCCAACGCAGAGCTTGC ACAGTTTCGTATGGTGTGTCAGGCAACAAAGAACCGTGCAATACAAATTTTACAAAACAT TGTTGATACTGCCAATGCCACTGAGCAACAAGAAGACGTGGATTTCACTAACCTGAAGAC GTTATTAAAACTAACCCCCCCTCCCAAAACAATTGCATTGGCCATTGATAGATCTACTTC CGTTCAGGACATTGTCACGCAGTTTGCATTGCTGTTAGGGCGTCTGGAAGAAGAAACTGG TACGTTGGACATTCAGGCGGTTGACTGGATGTACCAAGCTCGCAATATTATTGACTCCCA TCCACTAAGTGTGCGTATNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCG TTTCCACAAAAAGCAACAGGAACGTAAAACGGCGTTGGATGTTGTGTTGCAAAAACAAAG ACAGTTTGAAGAGACCGCGTCTCGCTTACGAGCTTTAATTGAACGTATTCCAACGGAGAG TGACCATGACGTTCTTCGTATGTTATTACATGATTTCGATCAATTTACACATTTGCCTAT ATGGATAAAAACACAGTATATGACATTTCGAAATTTACTCATGGTACGGTTAGGCTTGTA TGCAAGTTATGCTGAGATTTTTCCACCCGCGTCTCCAAACGGAGTGTTTGCTCCTATTCC CGCCATGTCGGGTGTATGTCTAGAAGACCAATCCCGATGCATTCGCGCGCGGGTGGCCGC GTTTATGGGGGAGGCGTCTGTGGTGCAAACGTTTAGGGAAGCCAGATCTTCTATAGACGC TTTGTTTGGAAAAAATTTAACCTTTTACTTGGATACTGATGGGGTTCCACTTCGATATAG AGTGTGTTATAAATCAGTTGGGGTTAAACTTGGAACCATGCTATGCAGGCAGGGTGGATT ATCTTTACGACCGGCACTTCCCGATGAAGGTATTGTGGAAGAAACTACACTATCGGCATT ACGCGTGGCCAATGAGGTCAATGAGCTACGCATTGAATACGAATCCGCTATAAAATCCGG GTTTTCTGCCTTTTCCACCNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGCAACTTTCCCCCCCCCCCGGGGT AAAGGCCAATGTCGATGCAGTTACCCGTATAATGGCAACAGATCGTCTTGCGACCATTAC TGTACTTGGGCGCATGTGTCTCCCGCCAATTTCCTTAGTGTCAATGTGGAATACGCTGCA ACCGGAGGAATTCGCATACAGAACACAAGATGATGTGGACATTATAGTTGATGCGAGACT GGATTTGTCATCCACGCTTAATGCAAGATTTGATACCGCTCCCAGCAATACCACGTTAGA GTGGAATACAGACCGTAAAGTAATTACAGATGCTTATATTCAAACCGGGGCAACGACAGT TTTTACAGTAACGGGGGCGGCACCAACTCACGTTTCTAATGTAACAGCGTTTGACATAGC AACTACGGCTATTTTATTTGGGGCTCCTTTGGTTATTGCCATGGAACTTACATCCGTTTT TTCACAAAATTCCGGACTTACTTTGGGGTTAAAATTATTCGATTCCCGGCATATGGCTAC AGATTCGGGTATATCCTCAGCCGTATCTCCCGATATTGTTTCTTGGGGGTTACGTTTACT GCATATGGATCCTCACCCAACTGAAAATGCATGTTTAACTGTNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNAAAATGACCCTCGAATGTATAACTC CAAAACAGTATTCCACCCTGTAAATAACCAATTACCTTCTTGGGTTGACACGGCAGCCGA TGCCCCCCAAACGGACCTATTGACAAACTATAAAACAAGACAGCCGTCGCCAAACTTTCC GCGGGACGTACACACATGGGGCGTATCTTCTAACCCGTTTAACTCACCGAACAGAGACCT ATATGAAAGTGATTTTAGTGAACCTTCTGACGGCTATAGCAGTGAGAGTGAAAATTCTAT CGTACTAAGTCTCGACGAACATCGGTCATGTCGCGTTCCTAGGCACGTACGCGTTGTTAA TGCCGATGTAGTCACCGGTCGACGTTATGTCCGAGGGACCGCCTTGGGAGCACTGGCCCT GTTAAGCCAGGCATGTCGGCGTATGATCGACAACGTTAGATATACACGTAAACTTTTAAT GGACCACACGGAAGATATATTTCAAGGCCTGGGGTATGTTAAATTGTTATTAGATGGAAC ATATATATAANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNTCGGCGCTCTGTGTTTTTTGCGGCAATATAGTAGGCCCCGAGATTCC CAAACTCATGGATGGATTTGGGGGTTGTGGTCGTATAATACGCGGGTTAAACGTACGTTT TAAGCCAACCGTTGGTCTTAACCATGTCATAGGGTCAGTCTCGGCAAACATGGCCGTTCG GCGTATCGTATTTGCATTATGGTTAGCGCGTGCACGCGCGGCACTGGCCGCGGCTCCCAC GGTGTAAATGCTTCTGGCATCAGCGATGTCCACACGGTGACCAGGTTGCAAAGGTCCACT GGCGTTTAAAAGTCGTATTAAAGCAACGGGGGTGTAAGCCGCAATTGCTTCCACCGAAAA TGTGGTGGGGTTGCTGGGATCAAAGACTACACGAGACGATGCGGGTTGTGTCATCGTTTA TTAGTTTACGGGACAATCGATAACAGCATACACGTACATCTGCGCAGGATATGTACGGAA AGGCAATTTATTTCCAGAAAAGCACCGCCCCTAATACAACTACCAGTACAATTACAACGA ACAGGGCATATGTCACGTTAGCTACGGGTAGAGCAAGTTTCCAGACACGCGTAGTTTGGG TATCGGGTAACGCAGGTTTAATGTCACTTTGCATTTGAACAGACGTGTTTGGACTTCCGT TCTCGGGTGGGGATCTGAATGAAGGCCGCCAGCGTATATATTCATCCAAATTATTGCCAG TTTCCTTATACATGTATGCATCCGTGGCGCGGGCCATAAGTTTAATGGTGCGAGATGGAT CTTCCGGTCCCATAAAACGAAAGGATAACTGAACATATGGCATTCGCACAAAGCAGTTCA CCCACATTAAAGCCTGGAGAGGTCGGCGGTCAATACCCCCACCTCGTTTAATTGATTCCA AAGCAGATAGGTTGATACCGGTACTTAACGTTGAACTAAGAATCACGTTATTACTGTCAA TGGACACTTCAGCCACTGGTGCGTTAGTCGGACGAAAAAAAAAACCTTGAAATAGCACAG ACACCCCCGTATTTTGAATTTTTATGTAAGGGTCACAATCTACTTGCGCCCAATTCGCCA TTAAACGCATAATATACTCTACCGGAAAGGCTTCGGATACGTTGTCTTCGCCGTTAAACT GAAAAACACAACGGGCGGGGGGGCGTTGTGGATCAAATATTGGAAGATCCCCATCGCAAC ATTGAAGAGCGCTTGGTACCACCAACCGAATACGTTGTAAAAGATTATCTCCGCAACCCC TCCTGCGTTCACTCCGTACATACGTTCTCCGTGACATATTGATCTAAGGTTGCAAACCAA GGCACACGCGTGAAGTATTTAGACCATTTATCGTGGGATATAGGAGGAGTTTGGAGTGAT CCACCCCCTGACGACTTATTAATGCGTTTATTTTCCCCATGTATTAAGCATCCTTCAATA TTTCATGCAAATCTAGAAATTTGGCCATGACTCCCGCAAAGCGTTCACGGCGACGGGTCA CGCTGGCACTATGTTCACATGGAACAACATAAGCAGATTTTTCTGAATCGTTACTTTCTT TATGTTTTAAAACGGACGCCAGGCGACTGGTAAATGATATATAATTTAATTGAGCGTCAG TTGTAGGTAGAATTGCTTCTATTTCCGGGGGAATTAAATTTTCAAACCAAACGGAAAGAG TAAAGGTGCTATCAGCAGGAAAATACTTTGACTCCAGTGCATCGATATTTAATAGATTAA CATCGGTGTCTGTAATTAAATCGCGGGCCCTCATCCCAGAGATGGATCGGGTAGAATCAG AAGAACCCATGGATGGATTCGAATCGCCCGTATTCTCCGAAAATACATCTTCTAATTCCG GATGGTGTTCCGACGCATTTTCCGATTCGTACATCGCTTATAATCCAGCCCTTCTGCTAA AAAACGATTTGTTATTTTCAGAATTGTTATTTGCCTCCCACTTAATAAATGTTCCCCGTG CAATAGAAAACAACGTCACTTATGAGGCCTCTTCGGCGGTAGGTGTGGATAATGAAATGA CCTCAAGTACCACTGAATTTATAGAAGAAATTGGAGACGTTTTGGCGTTAGACAGAGCCT GTTTGGTCTGTAGAACGCTTGATTTGTATAAACGTAAATTTGGACTGACACCGGAATGGG TTGCGGACTACGCCATGTTATGTATGAAAAGTCTGGCATCCCCGCCCTGTGCAGTTGTCA CTTTTAGCGCTGCCTTTGAATTTGTGTATCTTATGGATCGTTACTACCTGTGCCGTTATA ACGTTACTTTGGTTGGGTCCTTTGCCAGGCGCACGCTTTCCCTGTTAGATATACAAAGAC ATTTTTTTTTGCATGTATGTTTTCGTACCGATGGAGGGTTACCAGGTATACGACCGCCCC CCGGTAAGGAAATGGCCAACAAAGTAAGATATTCCAATTACTCCTTTTTTGTACAGGCGG TAGTTAGGGCTGCATTACTATCGATCAGCACGTCTCGTTTAGACGAAACCGAAACGCGTA AGTCATTTTACTTTAATCAGGACGGACTGACTGGAGGCCCTCAACCTTTAGCGGCCGCCT TGGCTAATTGGAAAGATTGCGCGCGGATGGTTGACTGTTCATCATCGGAACATCGCACAA GTGGGATGATTACCTGCGCGGAACGTGCATTAAAAGAGGATATAGAGTTTGAAGATATAT TAATAGACAAACTTAAAAAATCGTCTTACGTAGAAGCAGCTTGGGGTTACGCAGACTTGG CTTTATTATTACTGAGTGGGGTTGCTACTTGGAATGTAGACGAGCGTACAAATTGTGCTA TAGAAACTCGCGTTGGATGTGTTAAATCATACTGGCAGGCGAACCGGATTGAAAACTCCA GGGACGTTCCAAAACAATTTTCCAAATTTACGAGCGAGGATGCCTGTCCCGAAGTAGCAT TTGGGCCTATTTTGTTAACTACCTTAAAAAACGCAAAGTGCCGTGGTCGCACGAATACCG AATGCATGTTATGTTGTTTATTAACCATAGGGCACTATTGGATCGCTTTGCGGCAGTTTA AAAGGGATATATTAGCATACTCAGCAAATAACACAAGTTTATTTGACTGTATCGAACCTG TAATCAATGCATGGAGCCTAGATAACCCCATTAAACTTAAATTTCCATTTAATGATGAGG GTCGATTCATAACCATTGTAAAAGCAGCAGGTTCCGAGGCCGTATATAAACATTTNNNNN NNNNNNNNNNNNNNNNNNNCTCGGAATTACAGACAAACCCTAAAATTTTATTTGCCCATC CTACAACCGCGGATAAGGAAGTGTTGGAGTTATATAAAGCCCAACTGGCTGCACAAAACA GATTTGAAGGTCGTGTATGTGCTGGCCTGTGGACATTGGCGTATGCATTTAAAGCCTACC AGATTTTTCCACGCAAACCAACCGCCAATGCCGCATTCATACGAGATGGAGGACTTATGC TTCGACGACATGCAATATCGCTGGTCTCCCTCGAACACACCCTATCGAAGTATGTCTAGG CGATATAAATCCGTATCTCGGAGCGGGCCTTCGATGCGTGTACGCTCCAGAACGCCATGC CGCCGTCAAACCATTCGAGGAAAACTTATGTCAAAGGAGCGGTCTGTGTACCGCCATTAT TTTAATTACATCGCAAGGTCCCCCCCAGAAGAACTAGCTACCGTTAGAGGCTTAATCGTG CCAATTATTAAGACGACCCCTGTCACCCTTCCGTTTAACTTGGGTCAGACAGTGGCGGAT AACTGCCTGTCGTTATCCGGAATGGGTTATCATTTAGGTCTCGGAGGTTATTGTCCGACA TGCACTGCATCTGGAGAACCGCGTCTATGTCGAACCGATCGGGCGGCTCTGATACTAGCA TATGTTCAGCAGCTTAACAACATATACGAATATCGTGTGTTTCTTGCATCCATTTTGGCG CTATCAGACCGAGCCAACATGCAAGCAGCGTCCGCTGAACCCCTATTGTCGAGCGTATTG GCACAACCGGAATTATTTTTTATGTATCATATTATGAGGGAGGGGGGCATGCGAGATATA CGCGTACTTTTTTATCGTGATGGAGATGCCGGAGGGTTTATGATGTATGTTATATTTCCG GGGAAATCTGTTCACCTCCATTACAGACTAATCGATCATATACAGGCCGCGTGTCGGGGG TATAAAATAGTCGCACACGTTTGGCAGACAACATTTTTACTGTCGGTATGTCGCAACCCA GAACAACAAACAGAGACTGTGGTGCCATCCATTGGAACATCGGACGTTTACTGTAAAATG TGTGACCTTAACTTTGATGGAGAATTGCTTTTGGAATACAAAAGACTCTACGCATTATTT GATGACTTTGTTCCTCCTCGGTGATTTCAGCTTCAGTGTTCATTTTATTATCCCAGCACG GGGCGTGTATACAAACAAAGCCTGCCGCCTGCAAGCGGTTTAGCATTTTAACGTTAACAA CTCGTGTCTCTGGAATAAAACGTTTTAAAAGCCGTTCTGTGAGTTTAGTGTCGTTTCCAA ATAACGCCTTAAAAGTTACACTCGCCGTCCCAATGAGATGAGAAAAATAATAGTCAATGT TTAAAGACAGCCCGTGTGATGTTACGTGAATGGGATCTTCCGCTAAGTCAGATATTATTA ACTTACGCTTTGCTTCCCCACACCGTTTACCTGCGGTATTCTGTAAAGGATCTCCACGTA GCAAAGCTACACTTTTTGCATCAGCCTCCACTTCGTCTGTGGGGGCCACAATAACATAAG GGATGCGTTCTCGAACGTTTGGGATTTGACCCTGTCTCATTACTAATTTATAATATACTG TTAAGTGAGCCAAGCGACGGTTTATGTAGGCGGATGGTGGACGACTAAGCTCGGCCGTCA TAACAAACTTATTAATATCCAATTTGGGTGATGTAATCTGGCGATGTGCATCTGCAATTA TGCGTCCAAACCCGGCCATCCCAGACGGCATGGCCCGTCTATTCCATTCAGCAATGGAAA CACACGACGCCTCCGCCGCAGCACGCGAGACGGTGTCGTCATATAACAACAGTTCTACAA GTTTGCGGGCATAATCGTTAATAAATTGACAGTTGTTTTTTCTAACCAAGTCGACTCCCT TCATTAAAACCTTTCCGCCGTAAATTACCCCAATGTACTTTTTCTTTGTTATAAGCAAAA GTTTTATAAAAGTTTTTTCACACTCCAACTTTATAGGAGGACAAAACAGAGCCGTTGAAA TTATATGTGCCATTTTCTCGCCGATTTTAGCTATCCCCTCAACACCAACACCCTTGAATC GGATAAACACAGAATCCGTATCTCCATATATAACCTTTACCTCGTACGCTTTTTGGGAGA GAACGCTACTTTCAATGTCTGGAAACGCTGTAATAAAACGTTCAAATGCGGCCCAGTTAT TATGAATATAATCTCTGGTACTTAATAACATTTGACGGCCAATTGTAGTGACAGTGGCCG CTACGTATAAACATGGCAGAAATCCCTGCGCAACTCCAGTAAAACCGTACACGGAATTAC AAACTACTTTTATCGCGGCTTGTTGTTTGTCTAATAACACTGCTTCATCTGAAGAACTTC CGGGTATGCGCGCTCTAATAGCCTTGCGCATAGCCAACCAGTCTTTTAAAAGAACACCCA GCAGACTTTCTCGAACGTTAGAGCGCACAAAAAAAAGACGTTTTCCTCCAACTGTAAAGG TGGCATAATCGGATGGATTCAAACGTTTAACCGTCTCAAAATTTAACGTTAGCGTGGTAA AACATAAGTTATGGGCCTGAATTATACTTGGATATAAACTTGCAAAATCCAATACGACCA CCGGATCGATATAAAATCCCGTATCAGGGTCAAAAACCCTGGCTCCTTTATATCCTACAT TTCGCCCACTTGACGTACCAGTGGGAGAAACGCTCTCGTCTTCATCCATCTCTTCCTCAA CATCCCCGACATCGGGAATAACATCCTTATATTCAAAAGTAGCTGGGTATCCCCCATCGG GTAAAATAAATCCTCGAGACGAAGCCAGTCCTAATAAACAGGTGTAAATCCTAACCTGCT GTCCGTCGTAAATAGCCTTGGTTAAAGTAATTCTAGCTAGCCTTGCAACCGCGGATAACT CAAGGTGTGGTAAATATTTAAAAAACAGTTTCCCCACAAGAGCCGAGTCTTGTATACAAT ATTCACCAATAATTCCTCGTGTATTCGGTCCACTAGCGTAGTATCCCGGAATGTCTTTGT AGGGCAAATCTCTCTTGGACTCATTTAGAGCTTCACGTGCAACCGAATCTAATTTATAAC TCGAGAGTTTTAATTTTTCAGTTGCAATTGCATACATATCCAGAGATATGAGACCGTTGA TCTTTACCTTGCTTCGTCGCTGAAATCCGGATTTGCCAACATCCCATATCTTAAACAGAC CCCCACGGTTTATACTGCCATAACCATCAAGCTTGAGACTGTATATAGAATTAAGTTTCT CCATAATAAACGCCCAATCAAAATTAACAATGTTATAACCTGTGGCAAACTCGGGAGCGT ACTGTTTTACGAGGGTCATAAATGCAATTAATAGCTCGAATTCACTATCAAACTCCAGCA CAGTCGGCTCCGGTAACCCCGCGTCCTTCATTTCTTGTACATACCTTTGTGGTAAGTCAC AAGAGCCAAGGGAAAACAGTAAAATGTGTTCTAAAGACTGTCGAGGGATTGAATATAATA GACAAGAAATTTGGATTACAAGATCCTCCAGATGTGTTGCATCGGGAAACGCCAGCTCAT TAGATCCTCCTGATTTACATTCAATATCGAAACATAACAACTTGTAGTCAGGCCATGAGT CATCGTTTGGTATAGCCTGCAGATTATCCGACATGCAGTCAATTTCAACGTCGCTTAACG TTAATTGGCGACTTGCCGGTCGAACTCGAACACGTTCCCCATCAACTCCAGGTTTTAGTT GATACCAACCAAAACTAACAAAGCCGGGATTATCCATTAGAAAACGAGTGGTAGCGTCTA CCCGACCTTCATACTTTTTCAACTCCGGGTGAAAGTTATCACAAAGATAATTTGTAAATT TAGATGAGGGAGAATACACCCTGTAAAACGCACATGGCTGTGTATCGTAGTAATAAACAT CTGTGCGCTCAATAACCTCAACGCGAAAGCTTTCTGGAGATGCGCTTTTAAACGAGGTAC CATGAAAAGCGTTCTTGTCTCCATTTAACGTTGCATCATTTTGTGTTATCATAGAACTGC GTAAACACTCGGCAAGTAATACAGATAACTCGCTACCGGAACGTATGCCACAAGCGGTAT CCACCTCGGCTTTGTTTATATAAAAATATTGACAGATGCCGTATACATGAACTGCCACCC TTTTTCCACATCGGGACATGCCAAGTAAAGTAATAACGGTACCAAGCGGTCGTGTTGCAG TTGCAAACCGGGATACATCTCCATTAGACGCGGCTTCTGTTGTTTCGACAATATCATATA CATGGAATGTGTTAAAGCGGGGGTCAAACTTATCCCCACGAAAGTCGATTTCCCCCCAAA TATTCACGCGTCTAGGCCAGGGGCTGGAACAACGAAAATCCAGAATCGGAACTTCTTTTC CATTACAGTAAACTTTAGGCGGTCGACTAAGTGTACCGACGTGAACCCCCTTTCGTTCTT CCATGGGCACATCTTCATCTAAACATTTAGGGGCCAAAAATTGAAACGATGACATGGTAG TTTTGTAACTATGAAGAAATTCTCTGTTACTACCGCGCCCGGTTCTTGGGTTATATGTAA TCCCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNCGAGTACTTCACCAAAATGGAAAATACTCAGAAGACTGTGACAG TGCCCACGGGGCCCCTGGGTTACGTTTATGCGTGCCGGGTTGAAGATTTGGATCTGGAGG AAATTTCATTTTTGGCCGCTCGTAGCACGGACTCTGATTTGGCTTTATTACCTTTGATGC GTAATTTGACCGTGGAAAAAACTTTTACATCCAGCCTGGCGGTGGTTTCTGGAGCACGCA CTACGGGTCTTGCCGGAGCTGGTATTACCTTAAAACTCACTACCAGTCATTTCTATCCAT CTGTCTTTGTCTTTCACGGAGGCAAACACGTTTTACCCAGCTCCGCGGCCCCAAATCTCA CACGCGCGTGTAACGCGGCTCGAGAACGGTTTGGGTTTTCACGCTGCCAAGGGCCTCCTG TTGACGGTGCTGTTGAGACGACCGGCGCTGAGATATGCACCCGCCTTGGATTAGAGCCAG AAAATACAATATTATACTTGGTGGTCACGGCATTGTTTAAGGAAGCCGTATTTATGTGCA ACGTGTTTCTGCATTATGGAGGACTCGATATTGTTCATATTAACCATGGGGATGTTATAC GTATACCGTTATTTCCGGTACAACTTTTCATGCCCGATGTTAACCGTCTGGTACCCGACC CATTCAACACTCATCACAGGTCTATCGGAGAGGGTTTTGTATACCCAACACCCTTTTATA ACACCGGGTTGTGCCATTTAATACATGACTGTGTTAAATGGCACAACCCGGTGTTATTGC TCCCATGGCCGTTGCCTTGCGCGTCAGAAATGTAACTGCCGTCGCCCGAGGAGCGGCCCA CCTTGCTTTTGATGAAAATCACGAGGGGGCAGTACTCCCCCCTGACATTACGTACACGTA TTTTCAGTCCTCTTCAAGTGGAACCACTACCGCCCGTGGAGCGCGTCGAAACGATGTCAA CTCCACGTCTAAGCCTAGCCCATCGGGGGGGTTTGAAAGACGGTTGGCGTCTATTATGGC CGCTGACACAGCCTTGCACGCAGAAGTTATATTCAACACTGGAATTTACGAAGAAACTCC AACAGATATCAAAGAATGGCCAATGTTTATAGGCATGGAGGGCACTTTGCCAAGGCTAAA CGCTCTGGGGTCATATACCGCTCGTGTGGCCGGGGTCATTGGTGCGATGGTTTTCAGCCC AAATTCTGCGTTGTATCTAACTGAGGTGGAGGATAGCGGGATGACCGAAGCCAAGGATGG GGGACCGGGTCCATCATTTAATCGATTTTACCAGTTTGCCGGACCTCATTTAGCTGCGAA TCCCCAAACAGATCGAGATGGCCACGTTCTATCCAGTCAGTCTACGGGTTCATCAAACAC AGAGTTTAGCGTGGATTATTTGGCACTCATTTGTGGATTTGGAGCACCCCTGTTGGCGCG ACTGCTTTTTTATCTAGAACGCTGTGACGCTGGTGCGTTTACAGGGGGTCACGGGGATGC GTTAAAATATGTTACGGGGACCTTTGACTCTGAAATTCCATGTAGTTTATGTGAAAAACA TACGCGGCCGGTATGCGCTCACACAACAGTACACCGACTTAGACAACGCATGCCGCGATT TGGACAAGCCACCCGTCAACCTATTGGGGTGTTTGGAACAATGAACAGCCAATATAGCGA CTGCGATCCTCTAGGAAACTATGCTCCATATTTAATCCTTCGAAAACCCGGGGATCAAAC GGAAGCAGCAAAGGCAACCATGCAGGACACTTATAGGGCTACACTAGAACGCTTGTTTAT CGATCTAGAACAAGAGCGACTACTGGATCGCGGTGCCCCATGTTCTTCCGAGGGACTATC GTCTGTCATTGTGGATCATCCAACGTTTCGTCGCATATTAGACACACTGCGTGCGCGTAT AGAACAGACAACAACACAATTTATGAAAGTGTTGGTTGAGACCCGCGATTATAAGATCCG TGAAGGATTATCCGAAGCCACCCATTCAATGGCGTTAACGTTTGATCCATACTCAGGAGC ATTTTGTCCCATTACCAATTTTTTAGTTAAACGAACACACCTAGCCGTGGTACAAGACTT AGCATTAAGCCAGTGTCATTGTGTATTTTACGGACAGCAAGTTGAGGGGCGGAACTTTCG TAACCAATTCCAGCCTGTTTTGCGGCGGCGTTTTGTTGACCTGTTTAATGGGGGGTTTAT ATCAACACGCTCTATAACCGTAACATTATCTGAAGGTCCTGTATCCGCCCCAAATCCGAC ATTGGGACAAGACGCGCCCGCGGGGCGTACCTTTGATGGGGATTTAGCGCGCGTAAGCGT GGAAGTTATTCGGGATATACGAGTTAAAAATAGGGTCGTTTTTTCAGGTAACTGTACAAA TCTCTCTGAGGCAGCCCGGGCAAGGCTTGTAGGCCTTGCAAGTGCGTACCAACGCCAAGA AAAAAGAGTGGATATGTTACACGGGGCCCTAGGGTTTTTGCTTAAACAGTTTCACGGCCT GTTATTTCCTCGGGGTATGCCACCAAACAGTAAATCCCCCAACCCGCAGTGGTTTTGGAC CCTGTTACAACGCAACCAGATGCCGGCAGATAAACTTACACACGAAGAGATTACCACTAT TGCAGCTGTTAAACGGTTTACCGAGGAATATGCAGCAATAAACTTTATTAATCTACCCCC AACCTGCATAGGAGAATTAGCCCAGTTTTATATGGCAAATCTTATTCTTAAATACTGCGA TCATTCACAGTACCTTATAAATACCTTAACTTCTATAATTACGGGTGCCAGGCGCCCGCG TGACCCATCATCCGTTTTGCATTGGATTCGTAAAGATGTCACGTCCGCCGCGGACATAGA AACCCAAGCAAAGGCGCTTCTTGAAAAAACGGAAAACTTACCGGAATTATGGACTACGGC TTTTACTTCAACTCATTTAGTCCGCGCGGCCATGAATCAACGTCCCATGGTCGTTTTAGG AATAAGCATTAGTAAATATCACGGAGCGGCAGGAAACAACCGCGTCTTTCAGGCAGGGAA TTGGAGCGGTTTAAACGGGGGTAAAAATGTATGCCCGCTATTTACATTTGATCGCACTCG CCGTTTTATAATAGCATGTCCTAGAGGAGGTTTTATCTGCCCCGTAACAGGTCCCTCGTC GGGAAATCGAGAAACCACCCTATCCGACCAAGTTCGCGGTATAATTGTCAGTGGCGGGGC CATGGTTCAATTAGCCATATACGCCACGGTTGTGCGTGCAGTGGGCGCTCGAGCACAACA TATGGCATTTGACGACTGGTTAAGTCTTACAGACGATGAGTTTTTAGCCAGAGACTTGGA GGAGTTACACGACCAGATTATCCAAACCCTGGAAACGCCCTGGACCGTAGAAGGCGCTCT AGAAGCCGTAAAGATTCTAGATGAAAAAACGACAGCGGGAGATGGGGAAACCCCCACAAA CCTAGCATTTAATTTTGATTCTTGTGAACCAAGCCATGACACCACATCTAACGTATTAAA CATTTCAGGGTCAACTGTCCCTGGTCTTAAACGACCCCCCGAAGATGACGAACTCTTTGA TCTTAGTGGTATTCCCATAAAACATGGGAACATTACAATGGAAATGATTTAACCTCCCTC TTTATCCAATTAAAGCCCACACGCGGGTGAGTGTACGTAATAAACAAGTCAATATTACAT ATTCTGTTGTGTTTTCTTTTTTGCGTGTAGTCCTTACCCATATGACCTGTAATATAGTGT GTCTCCAACCATTCAGCTTACAGTCCAGTGGACAGTAACAGCCCGATAACATGGAATTGG ATATTAATCGAACATTGTTGGTTCTACTGGGTCAAGTTTATACGTACATCTTTCAGGTTG AACTGCTACGTCGCTGTGATCCAAGGGTGGCGTGTCGCTTTTTATATCGGTTAGCGGCTA ACTGTTTGACAGTTCGTTATTTATTAAAGCTGTTTCTCCGGGGATTTAATACCCAGCTAA AATTTGGAAACACTCCCACGGTTTGTGCACTGCATTGGGCATTATGTTATGTAAAGGGAG AAGGTGAGCGTTTGTTTGAGTTGCTACAACATTTTAAAACGCGTTTTGTTTATGGTGAGA CCAAAGACTCAAACTGTATCAAAGATTACTTTGTCTCAGCGTTTAACTTAAAAACCTGCC AATATCACCATGAGCTGTCGTTAACAACATACGGAGGTTACGTATCGAGTGAAATTCAGT TTTTACACGACATTGAGAATTTTTTAAAACAGCTTAATTACTGCTATATTATCACGTCTT CTCGTGAGGCGCTAAACACATTGGAAACCGTGACGCGGTTTATGACAGATACTATAGGAA GCGGTCTAATACCACCCGTGGAGTTGTTTGATCCGGCGCATCCATGTGCTATATGTTTTG AAGAATTATGTATAACAGCTAACCAAGGTGAGACCTTACATCGTAGATTATTAGGATGTA TCTGCGATCACGTTACTAAGCAAGTTCGGGTTAACGTGGATGTTGACGATATTATTCGGT GTTTACCATATATCCCTGATGTACCGGATATCAAACGTCAATCCGCCGTTGAAGCGTTAC GAACACTTCAAACCAAGACGGTAGTCAATCCCATGGGAGCAAAGAACGATACGTTTGACC AAACATACGAAATTGCGAGCACCATGCTTGATTCTTATAATGTTTTTAAACCTGCCCCTC GGTGTATGTACGCCATCAGCGAGCTTAAATTCTGGTTAACGTCTAATTCCACTGAAGGAC CCCAACGTACTTTAGACGTGTTTGTTGATAATTTGGATGTATTAAACGAACATGAAAAAC ACGCAGAACTTACAGCCGTAACGGTTGAGTTGGCGTTATTTGGAAAAACTCCCATACACT TTGATAGGGCGTTTTCTGAAGAACTCGGATCTCTGGATGCAATTGATAGTATTTTGGTTG GCAATCGCTCATCCTCACCAGACAGTCAGATAGAAGCATTAATTAAAGCCTGTTATGCCC ATCATCTATCGTCGCCTCTCATGCGTCACATTTCTAACCCGAGTCATGATAACGAAGCCG CCTTACGCCAACTTTTAGAAAGAGTTGGGTGTGAGGATGATTTAACCAAAGAGGCGAGTG ACAGCGCTACAGCATCCGAATGTGATCTGAACGATGATAGTAGCATAACTTTTGCTGTTC ATGGATGGGAAAACCTGTTATCCAAAGCAAAAATTGACGCTGCGGAAAGAAAACGAGTAT ATCTTGAACATCTGTCTAAGCGCTCTCTAACCAGCCTCGGTAGATGTATCCGCGAACAGC GCCAAGAGCTAGAAAAAACACTCAGGGTAAACGTTTATGGAGAGGCCTTATTGCAGACAT TTGTTTCGATGCAAAATGGGTTTGGGGCACGAAACGTGTTTTTAGCTAAGGTTTCCCAGG CAGGGTGTATTATCGACAATCGCATTCAGGAAGCGGCCTTTGATGCACATAGATTTATAA GGAATACCTTAGTTCGACATACAGTANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNTGGTTCCAACTGGCTTCTCAGTCCATTTAGGG GCTTTTATTGCTTTTCTGGGGTAGAAGGCGTTACTTTTGCACAGAGACTTGCCTGGAAAT ATATTAGGGAGCTTGTGTTTGCAACCACACTATTCACCTCTGTTTTCCATTGTGGGGAGG TGCGGTTATGTCGCGTTGACCGTCTAGGTAAGGATCCACGCGGGTGCACGTCTCAACCTA AAGGTATAGGCAGTTCCCACGGACCCTTAGACGGCATTTATTTAACGTACGAAGAAACAT GTCCCCTTGTGGCTATTATTCAAAGTGGAGAAACAGGGATCGACCAGAATACCGTCGTAA TCTACGATTCAGACGTTTTTTCTCTTCTATACACCCTAATGCAGCGGCTGGCTCCGGATT CAACGGACCCGGCGTTTTCATAACCTCCGTTACGGGGGTGTGGTTATGCTTTTTATGCAT ATTTTCTATGTTTGTTACGGCGGTTGTGTCGGTCTCTCCAAGCTCGTTTTATGAGAGTTT ACAAGTAGAGCCCACACAATCAGAAGATATAACCCGGTCTGCTCATCTGGGCGATGGTGA TGAAATCAGAGAAGCTATACACAAGTCCCAGGACGCCGAAACAAAACCCACGTTTTACGT CTGCCCACCGCCAACAGGCTCCACAATCGTACGATTAGAACCAACTCGGACATGTCCGGA TTATCACCTTGGTAAAAACTTTACAGAGGGTATTGCTGTTGTTTATAAAGAAAACATTGC CGCGTACAAGTTTAAGGCGACGGTATATTACAAAGATGTTATCGTTAGCACGGCGTGGGC CGGAAGTTCTTATACGCAAATTACTAATAGATATGCGGATAGGGTACCAATTCCCGTTTC AGAGATCACGGACACCATTGATAAGTTTGGCAAGTGTTCTTCTAAAGCAACGTACGTACG AAATAACCACAAAGTTGAAGCCTTTAATGAGGATAAAAATCCACAGGATATGCCTCTAAT CGCATCAAAATATAATTCTGTGGGATCCAAAGCATGGCATACTACCAATGACACGTACAT GGTTGCCGGAACCCCCGGAACATATAGGACGGGCACGTCGGTGAATTGCATCATTGAGGA AGTTGAAGCCAGATCAATATTCCCTTATGATAGTTTTGGACTTTCCACGGGAGATATAAT ATACATGTCCCCGTTTTTTGGCCTACGGGATGGTGCATACAGAGAACATTCCAATTATGC AATGGATCGTTTTCACCAGTTTGAGGGTTATAGACAAAGGGATCTTGACACTAGAGCATT ACTGGAACCTGCAGCGCGGAACTTTTTAGTCACGCCTCATTTAACGGTTGGTTGGAACTG GAAGCCAAAACGAACGGAAGTTTGTTCGCTTGTCAAGTGGCGTGAGGTTGAAGATGTAGT TCGCGATGAGTATGCACACAATTTTCGCTTTACAATGAAAACACTTTCTACCACGTTTAT AAGTGAAACAAACGAGTTTAATCTTAACCAAATCCATCTCAGTCAATGTGTAAAGGAGGA AGCCCGGGCTATTATTAACCGGATCTATACAACCAGATACAACTCATCTCATGTTAGAAC CGGGGATATCCAGACCTACCTTGCCAGAGGGGGGTTTGTTGTGGTGTTTCAACCCCTGCT GAGCAATTCCCTCGCCCGTCTCTATCTCCAAGAATTGGTCCGTGAAAACACTAATCATTC ACCACAAAAACACCCGACTCGAAATACCAGATCCCGACGAAGCGTGCCAGTTGAGTTGCG TGCCAATAGAACAATAACAACCACCTCATCGGTGGAATTTGCTATGCTCCAGTTTACATA TGACCACATTCAAGAGCATGTTAATGAAATGTTGGCACGTATCTCCTCGTCGTGGTGCCA GCTACAAAATCGCGAACGCGCCCTTTGGAGCGGACTATTTCCAATTAACCCAAGTGCTTT AGCGAGCACCATTTTGGATCAACGTGTTAAAGCTCGTATTCTCGGCGACGTTATCTCCGT TTCTAATTGTCCAGAACTGGGATCAGATACACGCATTATACTTCAAAACTCTATGAGGGT ATCTGGTAGTACTACGCGTTGTTATAGCCGTCCTTTAATTTCAATAGTTAGTTTAAATGG GTCCGGGACGGTGGAGGGCCAGCTTGGAACAGATAACGAGTTAATTATGTCCAGAGATCT GTTAGAACCATGCGTGGCTAATCACAAGCGATATTTTCTATTTGGGCATCACTACGTATA TTATGAGGATTATCGTTACGTCCGTGAAATCGCAGTCCATGATGTGGGAATGATTAGCAC TTACGTAGATTTAAACTTAACACTTCTTAAAGATAGAGAGTTTATGCCGCTGCAAGTATA TACAAGAGACGAGCTGCGGGATACAGGGTTACTAGACTACAGTGAAATTCAACGCCGAAA TCAAATGCATTCGCTGCGTTTTTATGACATAGACAAGGTTGTGCAATATGATAGCGGAAC GGCCATTATGCAGGGCATGGCTCAGTTTTTCCAGGGACTTGGGACCGCGGGCCAGGCCGT TGGACATGTGGTTCTTGGGGCCACGGGAGCGCTGCTTTCCACCGTACACGGATTTACCAC GTTTTTATCTAACCCATTTGGGGCATTGGCCGTGGGATTATTGGTTTTGGCGGGACTGGT AGCGGCCTTTTTTGCGTACCGGTACGTGCTTAAACTTAAAACAAGCCCGATGAAGGCATT ATATCCACTCACAACCAAGGGGNNNNNNNNNNNNNNNNAAGGAATGGATCCCTTTGCCGA GAAACCCAACGCTACTGATACCCCAATAGAAGAAATTGGCGACTCACAAAACACTGAACC GTCGGTAAATAGCGGGTTTGATCCCGATAAATTTCGAGAAGCCCAGGAAATGATTAAATA TATGACGTTAGTATCTGCGGCTGAGCGCCAAGAATCTAAAGCCCGCAAAAAAAATAAGAC TAGCGCCCTTTTAACTTCACGTCTTACCGGCCTTGCTTTACGAAATCGCCGAGGATACTC CCGTGTTCGCACCGAGAATGTAACGGGGGTGTAAATAGCCAGGGGGTTTGTTTTAATTTA TTAATAAAAATGTGTATTACGTTACTCATGTGTCTCCATTACGCATCACAGGGGGTATTT ATACCCGATAATATACAAAACGCGTTTTGTACCTCTACCGCACCCGATATCTTAACGGGG TTATTATGGAATCGTCTAACATTAACGCGCTACAACAACCGTCGTCTATCGCACATCATC CGTCCAAACAGTGCGCTTCAAGTCTCAATGAAACAGTAAAAGATTCTCCCCCCGCGATTT ATGAAGATAGGTTAGAACACACGCCGGTACAATTACCCCGCGACGGTACACCCCGAGACG TATGTTCTGTGGGACAGCTAACCTGTCGAGCATGTGCAACGAAACCTTTTCGCCTTAACC GCGACAGCCAATACGACTACTTAAACACATGTCCAGGGGGCCGTCATATTTCACTGGCAC TGGAGATTATAACGGGTCGATGGGTTTGCATCCCGCGTGTGTTTCCGGATACCCCAGAGG AAAAATGGATGGCGCCATATATTATTCCAGACCGAGAACAACCATCATCAGGGGATGAAG ATTCTGACACCGATTAAATTTAACTTAAATAAAACCTTACCACCCATAAAAACGCCNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNGTTGGTTAACACCGCCCCACCATCATCTGATTTGCAAACATATCG GCGTCGTCTGCCGTGGACCCCTGTATTAAAGGGGCCTTGGAACTAGCCTCCACTGCATTT ACATCTTGTCCAACTGTATCTGTATGTGGGGTGCTTGTTGTATTTTGGGATGAGCATAGA CCCGAAACGCTTTGAAGCTGTTTTAATAAAATCGATATTCGAGGATCCCGTGTCCCCTCT GGTATATTTGTATGGTGCGACAAAGGCATTTGTGTCCCATTTTGTGATTTTAGCTCTGTA ACCTCCTGTTGCAGTTTTGCCACAACCCCAGCAAGCTCTTCGTGCTGACCATTAGAAACT CTGTGTCTCCTCTGCCAATATGATGGAGAAACTCGACGTCTCCGATGCGTTATATACGTT GGTTCACCGGGAAAATATATATTTGAGGGAAACTCTCCGTCCATTTGAGACTCCCCACTA GAAAAAGAATCCAATTCCCTTTGATCCATGCTCTTGAAATCCCGTTTTCCTGGACGACGG ACATCGGTTTTGTCTGGAAAATTTACACACGGGGTCTGCAAGTCAATACCCCGTTCGGCG GCCAATGCGTTCATAAATGCGGACATTTGCATTTCCAAACGATTGGGTGGTGGATATCCC GGAAACCCGTACGGTCCCCCGAAGTGTCCCGGAGGGCAACCATAACCCCCTGTATTAGGT GGGAAGGCAGGCGGGTGTGGAGATCCATATGGCCCGACGATATACTGTCCGTTATTTGGA GCTCCAATTGATACCTGCGGATTTTTAGTCTGCCCGGTTAACAGCTGTGAATAATACGCG GTAGGTATCAGTACAAATTCCCCTCCGGTTGGAACGCCCGACGGGGGCTGTGGTGAGATA CCACTAGCGTTACCTGCTACAGAAGCCATATCGCTGTCGTTCCTACACAACTGCGTAACC TTTAAATGCGGAACAGTCTTTTCACAATCTTCATTTGATTCCCCAACACCCAACGCGAGA TCGTATATGGGCCCGCCGGGGTGGAATGTGGCGTTTATAACACCCGCGTTGGGTAATTTA GACTCCACCCCATTAACGTTGGTTATCCGAGCAAGTCCATATCCGGTGCTAGCCTGAAGA TAAACGTGACCCATAATTCCGGCTTCGCGTCTACGTTTTGCAACCACGTCCCATCTATCT CTTAAAAGCATATTGTTCACGGCTGTGGATAATAACACCTTGGCGAGTTTATCTTCGCTA ACCTTCCATACTTTATTTAAACCCGCGTAGTCTTTAACCAGCGACAATAACCGCGCTTTA CTTTCCATCGATAAAACCCGGAATGGTTCAATTGAAGATTCCGGGGTACAGTCATAATTG ACCACTGTTCCAACGCGTCTTCCAACAACACATAACGCAACATGGGTAAAAAAATTACCG TCTGGTATCTCATTCGGGGACAATCGTTTTGAAGACAGGGATACGGAGGGTAAGTAATTT GTGACCAAGTATAACGCACGTTCTAGCGGAGATAATACAGAATCTCTATTTCCAAAAAAA TTCGAATGGGCCGCTTCAAACAGCACCGCATGTAGTTGAGGGCATCTAACGATACCCAAA AAAAAAGGTCCGCGTATGTCCTCAATGATTGCGATTACTTCACCCACGACACAGTCTTTT CGATGATCGATGTTTATTGGTATTTTACTAGTAGGCGGCAAAGCGGACCGCACAATCTCT GGGGTAATATTTAATTCCCCTTCGTCCTTTGAATATAAGGCTAAATACCCAGCCACGTAT AACGCTTCACAGTTCTCTTCGTCAGCTTCAGCAGCCATTATAAACACCCCACGGACCGGA TAGTGAATACTCACGGTGTGGAGGCAAACTGAGGAATGACACCCAAACAGACAAAATATA GAAGATCATAGTCACTGTTAACGTTGAACTGCGCAAGGCGGCGACTTTCTTCCAATGCCG CCCTTACACGCGGTTGGTGCATTAACATTCCAAGTCCCCGTTCATATTGCAACATAACAC TGTCATGTATTGATACCACGGCGGCTATGGGTAGGGATGTAACATTTTGTCGGCGGTGTT CTAATTCCAATGCAATTAAGCTTATGAGCCGATCTTGGTACTGTCCAGAAGAAATATCTA TTACGGTTCTTCCTAAACTTCCACGACTAAGCTGGGTATGCGCGTCTAAACAAAGAGCAA CTAATCCAGGAAACATTTCAGTCAGCTCTGTGGTCCGATTTAACGTATACAGTGGTGCTA TATATCGTTCACATAAAAATTGAAAGTTATTATTACCGCTTTTAAACTTCCCATCAAACC CCGTCGCTCCGCGCAAGATTACATTGTTGGTAGGGGTTCCTGTTGCTTCTGACACAATCA AACCCAGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNCCTGCAACCGTATAAGCGCATCCATAACAGAATGTGACGTTAAGG CGCCTTGATCATACCGCCCCCCACGAGCATGAAACTGGTCGCGTGGTAGACGATCATAGC AAAATTGATAACTGTTTTTATTTTCGTGTGTTGTCATATAATTCACAAATGTCTCAGTAT ATTCCGGTAGGTGCTCTATAAGGTTCCCGAAGGACGAAACTTGAGGTTCGTGGACACTAT TAGATGTCCTATACATTAAATATAAACATAATACCGCACACTCGAACGCGGAGTACGCTC TATCTCCAACATACATTCTCCCGGCGGACTGTAGACATGTTACCGTTGTGTTCATAAACG TACGGGAAATGCGCCCGTCTTTACAATCAACTCCGCGTGCAGCTACGGGCCTATCTAACA CAAGCCGTTCCTGCAGAGTACGATACCATGGCCCGAAAACAATCCCTGGAGAGTTATTGC CCCTTGCCCTTCCCAAGTACACCAGGGTGATAAAATCCACTTGAAAGTTTGTATCGTACT GCAACGGTGCATCATTTTTGGCAATCTGTACCTCGGGGTGTATAGACTCATTGCGTATTA TTTCTGTACGTGTACATTCCTCAGATTGTGCATCTGCTTCTTCCGCCTCGGCAGCAGCCG TCTCCAGGGAATCCAAAACCTTGGCCATGCGCGTTAGTTGGTCTTCGAGGGGCTTTAAAC GACGATCTATTTCCGTTGGTAACGTAATCGTTTCCCCGCGAAGGTTGTCTAATGCGGCAA CGGCCGCCGCATTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTTTGTAAAATTCCAC CACAAGCACCTAAAGAAGGCCTTCTAAGGGGTAAATCCACCCCACAAGCTGCATTTTCTT CAAACTTTGTTAAAGCGGAACGATGGCATGATTTCGCACGCTTTTTCGCAAGAGAACATA CGTGAATTTTCTTTTTGCATAGACGTCTTCGCTCTCTAACGGACCTTATCGGGGGGGTAT ATTCCGCTACATTCTCCAAATGCGACGCTAGCATAACAAGGTTTCCATGAATCACCTTTG GGGGTAACCGAGTTACCTGTAACAGGTTCAGACCCCGTTGAGATACAAACACAAGGAGGG GGGTCACCATTATTTCATCAGATCCCGTGGGTGTGGTTTCCTTTATTAAAGCCACGGTAT CCCTCAGCTGGCGCATACCCTCGCAAAACTGGTGATACTTAGTAGGGGTATGTATATTAG CGCTAAAACGGCAAGATTTTAATTCCACTATAAAACAAACGGTCTTTCCGGCACCACTGG ATTCCGTTTGTATAATACAAATACAATCGGGGCGTCGGCGTCCCAAATTTACTTCAAACG ACATTGATATGCGTACAGCCCTTTGAACATCCACGTGGGATAACGGCGACAGGAGTTTTG CCAGCCTCGGGTTGAACGCGTCCGCGAAACCTCGACGTACGTTATCAATATCCTTTTTGA GTACATCGTAAAAACGAGTGTGACAACGTTGTCCCAAACGAAAACACTTGGCCCGAATTT GACTAGCGGACATATTTGAAGTTCCGTCCCAGAAGATAACCTAAGACGCGTTTGTCTACA ATAAACATGTCAACGGATAAAACCGATGTAAAAATGGGCGTTTTGCGTATTTATTTGGAC GGGGCGTATGGAATTGGAAAAACAACCGCCGCCGAAGAATTTTTACACCACTTTGCAATA ACACCAAACCGGATCTTACTCATTGGGGAGCCCCTGTCGTATTGGCGTAACCTTGCAGGG GAGGACGCCATTTGCGGAATTTACGGAACACAAACTCGCCGTCTTAATGGAGACGTTTCG CCTGAAGACGCACAACGCCTCACGGCTCATTTTCAGAGCCTGTTCTGTTCTCCGCATGCA ATTATGCATGCGAAAATCTCGGCATTGATGGACACAAGTACATCGGATCTCGTACAAGTA AATAAGGAGCCGTATAAAATTATGTTATCCGACCGACACCCAATCGCCTCAACTATATGT TTTCCCTTGTCCAGATACTTAGTGGGAGATATGTCCCCAGCGGCGCTTCCTGGGTTATTG TTTACGCTTCCCGCTGAACCCCCCGGGACCAACTTGGTAGTTTGTACCGTTTCACTCCCC AGTCATTTATCCAGAGTAAGCAAACGGGCCAGACCGGGAGAAACGGTTAATCTGCCGTTT GTTATGGTTCTGAGAAATGTATATATAATGCTTATTAATACAATTATATTTCTTAAAACT AACAACTGGCACGCGGGCTGGAACACACTGTCATTTTGTAATGATGTATTTAAACAGAAA TTACAAAAATCCGAGTGTATAAAACTACGCGAAGTACCTGGGATTGAAGACACGTTATTC GCCGTGCTTAAACTTCCGGAGCTTTGCGGAGAGTTTGGAAATATTCTGCCGTTATGGGCA TGGGGAATGGAGACCCTTTCAAACTGCTTACGAAGCATGTCTCCGTTCGTATTATCGTTA GAACAGACACCCCAGCATGCGGCACAAGAACTAAAAACTCTGCTACCCCAGATGACCCCG GCAAACATGTCCTCCGGTGCATGGAATATATTGAAAGAGCTTGTTAATGCCGTTCAGGAC AACACTTCCTAAATATACCTAGTATTTACGTATGTACCAGTAAAAAGATGATACACATTG TCATACTCGCGTGTACGTGTTTTTCTTTTTTATATATGCGTCATTTATTACCACATCCTT TAATCCCGCCTTTATCTCCCTAAAACGGAGTGGTAATATTAAAAGCCGCCAAGCCTGTTG GTGGGTGAGGAGGGGTAAAGGCACGCTGTGTGCATAACGTTGCGGTGATATTGTAGCGCA AGTAACAGCGACTATGTTTGCGCTAGTTTTAGCGGTGGTAATTCTTCCTCTTTGGACCAC GGCTAATAAATCTTACGTAACACCAACCCCTGCGACTCGCTCTATCGGACATATGTCTGC TCTTCTACGAGAATATTCCGACCGTAATATGTCTCTGAAATTAGAAGCCTTTTATCCTAC TGGTTTCGATGAAGAACTCATTAAATCACTTCACTGGGGAAATGATAGAAAACACGTTTT CTTGGTTATTGTTAAGGTTAACCCTACAACACACGAAGGAGACGTCGGGCTGGTTATATT TCCAAAATACTTGTTATCGCCATACCATTTCAAAGCAGAACATCGAGCACCGTTTCCTGC TGGACGTTTTGGATTTCTTAGTCACCCTGTGACACCCGACGTGAGCTTCTTTGACAGTTC GTTTGCGCCGTATTTAACTACGCAACATCTTGTTGCGTTTACTACGTTCCCACCAAACCC CCTTGTATGGCATTTGGAAAGAGCTGAGACCGCAGCAACTGCAGAAAGGCCGTTTGGGGT AAGTCTTTTACCCGCTCGCCCAACAGTCCCCAAGAATACTATTCTGGAACATAAAGCGCA TTTTGCTACATGGGATGCCCTTGCCCGACATACTTTTTTTTCTGCCGAAGCAATTATCAC CAACTCAACGTTGAGAATACACGTTCCCCTTTTTGGGTCGGTATGGCCAATTCGATACTG GGCCACCGGTTCGGTGCTTCTCACAAGCGACTCGGGTCGTGTGGAAGTAAATATTGGTGT AGGATTTATGAGCTCGCTCATTTCTTTATCCTCTGGACTACCGATAGAATTAATTGTTGT ACCACATACAGTAAAACTGAACGCGGTTACAAGCGACACCACATGGTTCCAGCTAAATCC ACCGGGTCCGGATCCGGGGCCATCTTATCGAGTTTATTTACTTGGACGTGGGTTGGATAT GAATTTTTCAAAGCATGCTACGGTCGATATATGCGCATATCCCGAAGAGAGTTTGGATTA CCGCTATCATTTATCCATGGCCCACACGGAGGCTCTGCGGATGACAACGAAGGCGGATCA ACATGACATAAACGAGGAAAGCTATTACCATATCGCCGCAAGAATAGCCACATCAATTTT TGCGTTGTCGGAAATGGGCCGTACCACAGAATATTTTCTGTTAGATGAGATCGTAGATGT TCAGTATCAATTAAAATTCCTTAATTACATTTTAATGCGGATAGGAGCAGGAGCTCATCC CAACACTATATCCGGAACCTCGGATCTGATCTTTGCCGATCCATCGCAGCTTCATGACGA ACTTTCACTTCTTTTTGGTCAGGTAAAACCCGCAAATGTCGATTATTTTATTTCATATGA TGAAGCCCGTGATCAACTAAAGACCGCATACGCGCTTTCCCGTGGTCAAGACCATGTGAA TGCACTTTCTCTCGCCAGGCGTGTTATAATGAGCATATACAAGGGGCTGCTTGTGAAGCA AAATTTAAATGCTACAGAGAGGCAGGCTTTATTTTTTGCCTCAATGATTTTATTAAATTT CCGCGAAGGACTAGAAAATTCATCTCGGGTATTAGACGGTCGCACAACTTTGCTTTTAAT GACATCCATGTGTACGGCAGCTCACGCCACGCAAGCAGCACTTAACATACAAGAAGGCCT GGCATACTTAAATCCTTCAAAACACATGTTTACAATACCAAACGTATACAGTCCTTGTAT GGGTTCCCTTCGTACAGACCTCACGGAAGAGATTCATGTTATGAATCTCCTGTCGGCAAT ACCAACACGCCCAGGACTTAACGAGGTATTGCATACCCAACTAGACGAATCTGAAATATT CGACGCGGCATTTAAAACCATGATGATTTTTACCACATGGACTGCCAAAGATTTGCATAT ACTCCACACCCATGTACCAGAAGTATTTACGTGTCAAGATGCAGCCGCGCGTAACGGAGA ATATGTGCTCATTCTTCCAGCTGTCCAGGGACACAGTTATGTGATTACACGAAACAAACC TCAAAGGGGTTTGGTATATTCCCTGGCAGATGTGGATGTATATAACCCCATATCCGTTGT TTATTTAAGCAAGGATACTTGCGTGTCTGAACATGGTGTCATAGAGACGGTCGCACTGCC CCATCCGGACAATTTAAAAGAATGTTTGTATTGCGGAAGTGTTTTTCTTAGGTATCTAAC CACGGGGGCGATTATGGATATAATTATTATTGACAGCAAAGATACAGAACGACAACTAGC CGCTATGGGAAACTCCACAATTCCACCCTTTAATCCAGACATGCACGGGGATGACTCTAA GGCTGTGTTGTTGTTTCCAAACGGAACTGTGGTAACGCTTCTAGGATTCGAACGACGACA AGCCATACGAATGTCGGGACAATACCTTGGGGCCTCTTTAGGAGGGGCGTTTCTGGCGGT AGTGGGGTTTGGTATTATCGGATGGATGTTATGTGGAAATTCCCGCCTTCGAGAATATAA TAAAATACCTCTGACATAAAAAACATGTATAATAAAAAGTCACTATAAACGTATTCTCTA CAATACTTTATTCGCGAATAATACACACTACCTTTGGGTTTTTTTCCCGTCCCCAAATGG TGTTTGGTGCACTCTACCAAAAAATAGAGCGCCTAAATATGCTATATAACGCCTCCCAGC AAAATACGGTTCAAAGGCATTACCCGATATTGTATTGTAGTACAGGGCAATGGGAATTGA TGATCCCAATAAACGGCATAGACGCACAGCGCCGTTATAGCAGGGGTCTCCAGAGTACAG GGTATCTAAGTACCGGGATATCTCATACTCATGCCTTTCCGTGACAGAAACATCAACCGG AACAGTATCCGATAAACCAACTCCTGTTTTTGCAAGGCGTAAAATTCGCACACCTTCCTT TTTTGCAAGATGTGACGTTTCCTTGTAACAGGGAAGCTGGGGGAGTGGTAAGAACAACAA AGTTTCAGCCAACGTGCCAATAAAGCCCACTTCCCTCAAGAGGCTGTTTGCTGTATCCAC AATGGTCCGTATTAAATCTTGAGCAACTTGATCCGTGTCATCATCACTGGGTAACGCGTT AACATAACTACGCGTTAAATCTTCAATAACGGCATAACAATTAAACGCTTCCCACCGAGA CAGTATATATTGAACAATCACGAACCGTTGACAGGACGTCAGATCACGTCCGTAAGCATG CCCGAAAAATGGAAGTTCCCCCCGTTCGCCATATACCGCAACAACTGCAGTATATATCGT CTCACGGGCTTCATTAAGTTCATCTTCAAGTCCAGGCCATTTTCTGGCTTTAAATATAAC CTCGTCCGCAAAAAAAACCGCACATGATAACGCGCGGATACAATGAGTAGTGGCTTTATG GCGAGGATCCCAAATGTCCATTACCCGGGGGATGGTCCTAATCTGTACAAAGTTACTTAG TGTAATATGATCGGACTTCTTACGCCGTCTAGGCTGTTTCTCAGAATACGGTTCACCCGA AATCGGCACATCATCTGCTTTTACGTCTTCCGTAACCACATCAGCAGCGCGCCGACTAAC AATTATACTTGTTTTTTCATCGTCGTTACTTCCGTTAAGCGCGTCTCGTATCTCGGGCGT CCCGTCGAATAATCCACTCACTAGCTCCTGCAAACCTTCTGGTAACTCCAACATACGCAT ATACACCAATGAAAAACTGGCTTCGTTTGGTACGTACATAAAGCCATTTGTGGTATTAAT GGCNNNNNNTGTTGGAGACAATTTTAGCTTATTCTCGCGCGTAACATCTACCCCCGCCAC CAATGTTAAATGCGTCACGGGGAGGGACACGAGATAATCTGCGAGCGTAGGGTCCTCCAC TTCAACATCAAATGTTCCGCAAAGGTCGCGATCCACCGCCCCCGATCCCGCTGCAAGTAA GGCCACTCGATCCAAAAACACGCAGTTATTATTGGATGATACCGCCCATGTCTTCCCGGT GCGATTGAGCTCACTTCGAACGTAACTGGCAACAGATCTGTCACCGGGTCCGACCCCGCG AACAACATGTCCAAATTTTGCGATCTCGCCTCCATGTTTGCGGGGTATGGAAATTAAGCA TCCCCCGCATATAAAATACGCCCTGGTAGCACGCTCGTTAAAATAAAACGTTACGCCGTT ATAAGATACGGTTGAATGATATGGAAATTCCATATTAAAGCGTTTATCGGAACATTAACC TCGAACTTGCCGTCCCGTGATCGTGTGANNNNNNNCCTTAGGTCCACACCGAATATGAGA AATATATAACTACACGCAAACATTCAAAACACCGTGGTATCATTAACGTCATATGAAAAG ATCCAATCAATCCAATCAACCACACCTCCTACCGTTTAGCACGTCAGCTATGTGACATGC TCCAAACATACGTAAACATTTAGAGAGGGTGTTATAACAGTCTGTCAGGCGGGGTATATT CTACATAATACAAGGATCGGCTTTAACTTTGTCAACATTTTTACTTTGGACTATAAACTG CGACTGAACGTTATGAACCCACCCCAAGCCCGCGTCTCGGAACAGACAAAGGACTTGCTT AGCGTTATGGTTAACCAGCACCCCGAAGAGGACGCAAAAGTGTGTAAATCCAGTGATAAT TCACCGCTTTATAACACCATGGTTATGTTATCGTATGGGGGTGATACGGACTTACTATTA AGCTCTGCATGTACCCGCACATCTACCGTAAACAGGTCGGCGTTTACGCAACACTCCGTG TTTTATATTATATCCACGGTGTTGATTCAACCAATATGTTGTATCTTCTTTTTTTTTTAC TATAAAGCGACACGCTGTATGCTCTTATTCACAGCCGGGTTACTTCTGACGATTCTACAT CACTTTCGACTTATTATTATGTTATTGTGTGTCTACAGAAATATACGATCAGACCTGCTA CCCTTATCTACATCCCAGCAACTGCTGCTTGGAATTATTGTTGTGACTCGAACAATGCTA TTTTGTATTACGGCGTATTATACTCTTTTTATAGACACCCGGGTGTTCTTTTTGATTACC GGACACTTGCAAAGTGAGGTTATTTTTCCAGATAGCGTTTCAAAAATACTTCCTGTGTCG TGGGGTCCAAGTCCAGCCGTGTTACTGGTAATGGCGGCAGTTATTTACGCTATGGACTGT TTGGTGGACACGGTATCCTTTATTGGGCCAAGGGTGTGGGTCCGTGTTATGTTAAAAACA TCTATTTCGTTTTAGTCCATTTCAATAAATGTACTATAATTGTTCAGTCTAAAAATAATG TTGGGTATTTATAATTACCGCCCCCGTGTTACTTGGAAACACCCATACATATGTTCCACT CTACATCAAACTTCTCGCAGTTTTCTTGTTCCCGCACACGTTTACACGTCCGGATTCAAG TCGCAACGCTGCTGACAAAATGACAACGGTTTCATGTCCCGCTAACGTGATTACTACAAC GGAATCTGATCGTATTGCTGGGTTATTTAACATCCCAGCGGGGATCATTCCAACTGGAAA TGTGCTGTCAACCATAGAGGTGTGTGCACACCGTTGCATTTTTGATTTTTTTAAACAAAT ACGATCAGATGATAACAGCCTTTACTCGGCTCAATTCGATATTCTTTTGGGGACATACTG CAATACATTAAACTTTGTGCGTTTTCTAGAACTTGGACTGTCTGTCGCTTGCATCTGTAC TAAATTTCCGGAGCTGGCTTACGTGCGAGATGGCGTTATTCAATTTGAGGTACAACAACC CATGATAGCACGTGATGGCCCACATCCCGTCGATCAGCCTGTTCATAATTATATGGTTAA GCGGATACACAAGCGTTCGTTAAGCGCTGCGTTTGCAATTGCATCGGAAGCGTTGAGTTT GTTAAGTAACACATATGTCGATGGGACAGAGATTGACTCATCGTTACGTATAAGAGCTAT CCAACAGATGGCTCGTAATTTACGCACCGTTTTGGACTCATTTGAACGAGGCACTGCCGA TCAACTTCTTGGTGTTCTATTGGAGAAAGCCCCACCGCTATCGCTGCTTTCACCAATTAA TAAATTCCAACCCGAGGGACATCTAAATCGTGTTGCACGCGCGGCCCTACTTTCGGACCT CAAACGTAGAGTCTGTGCGGATATGTTTTTTATGACCCGACACGCCAGGGAACCTAGGCT GATCTCTGCGTATCTGTCGGATATGGTTTCGTGCACCCAACCATCGGTGATGGTATCACG AATAACTCATACAAACACTCGCGGACGGCAGGTTGACGGTGTGTTGGTAACAACAGCAAC CTTAAAACGGCAACTATTACAGGGAATTTTACAAATTGACGACACCGCCGCTGACGTACC AGTAACATATGGCGAAATGGTTCTACAGGGGACAAACTTGGTAACCGCCCTTGTGATGGG AAAGGCCGTCCGCGGAATGGATGATGTAGCCCGCCATCTCCTTGATATAACCGACCCTAA CACGTTAAACATACCGTCTATACCCCCACAATCCAACTCCGATTCAACGACAGCTGGGCT TCCGGTTAACGCCCGTGTTCCTGCGGATTTAGTGATTGTTGGGGATAAACTTGTATTCTT AGAAGCATTAGAACGGCGGGTCTACCAAGCTACGCGCGTTGCCTACCCTCTTATTGGAAA TATAGATATTACGTTTATCATGCCAATGGGAGTGTTTCAGGCAAACTCCATGGACAGATA TACACGACACGCCGGCGATTTTTCAACTGTATCCGAACAGGATCCACGTCAATTTCCACC CCAAGAGATTTTTTTTTATAATAAAGATGGGATATTAACACAGTTGACTCTTCGTGATGC AATGGGTACCATCTGCCACAGTTCATTGCTTGATGTTGAGGCCACACTTGTTGCCCTCCG CCAACAACATTTAGATCGTCAGTGTTATTTTGGTGTATACGTGGCCGAGGGTACAGAGGA CACATTGGATGTTCAAATGGGGAGGTTTATGGAAACGTGGGCAGATATGATGCCTCATCA CCCTCATTGGGTAAACGAACATTTAACAATTCTACAGTTTATAGCTCCGAGCAACCCGCG TCTAAGGTTTGAATTAAACCCCGCCTTTGATTTTTTTGTTGCACCGGGGGACGTAGACCT TCCCGGACCGCAGCGTCCCCCGGAAGCCATGCCAACCGTTAACGCAACATTACGGATTAT CAACGGAAACATTCCCGTGCCTCTATGTCCCATTTCATTTCGAGACTGTCGCGGAACCCA ACTCGGTTTGGGAAGACATACAATGACCCCGGCAACCATTAAAGCCGTAAAGGATACATT TGAAGACCGCGCATACCCAACTATTTTCTACATGCTAGAGGCTGTTATTCATGGAAACGA AAGAAACTTCTGTGCGTTACTGCGACTGTTAACACAGTGTATTCGCGGGTATTGGGAGCA ATCCCACAGGGTGGCATTTGTAAATAACTTTCACATGTTAATGTACATAACTACATATCT CGGAAACGGTGAGCTTCCCGAAGTCTGTATTAATATATATCGGGATTTACTGCAGCATGT AAGAGCATTACGCCAAACTATAACCGATTTTACAATACAAGGAGAGGGCCATAACGGCGA GACCTCGGAAGCGCTAAATAACATCCTTACGGATGACACGTTTATTGCACCTATTCTATG GGATTGTGATGCGTTAATATACCGTGATGAAGCCGCCCGAGACCGACTCCCCGCAATTCG TGTAAGCGGGCGAAACGGATACCAAGCCCTTCACTTTGTGGATATGGCCGGGCATAACTT CCAACGACGCGATAATGTGTTAATCCACGGGAGACCCGTTCGGGGAGACACGGGTCAGGG TATTCCCATTACCCCACACCATGACCGTGAATGGGGTATTCTCTCCAAGATTTACTACTA TATTGTCATTCCTGCATTTTCCCGCGGTTCCTGTTGTACAATGGGCGTGCGTTATGATCG CCTATACCCTGCGTTACAGGCAGTTATCGTTCCGGAAATTCCCGCTGATGAAGAAGCCCC AACTACCCCAGAAGATCCAAGACACCCTCTTCACGCACACCAACTCGTTCCGAACTCTCT TAACGTTTACTTCCATAATGCACACCTAACCGTTGATGGTGATGCATTGCTCACACTACA AGAGTTAATGGGAGATATGGCTGAACGAACGACGGCCATTTTAGTATCAAGCGCCCCCGA TGCGGGAGCCGCCACGGCAACAACCAGAAATATGAGAATATATGACGGAGCGCTTTACCA TGGCCTTATTATGATGGCATATCAGGCGTACGATGAAACCATTGCAACGGGTACTTTTTT TTATCCCGTTCCGGTCAACCCTCTGTTTGCATGTCCGGAACATTTGGCATCATTGCGTGG AATGACAAATGCTAGGCGGGTTTTGGCAAAAATGGTACCACCAATCCCTCCTTTTCTGGG AGCCAACCACCACGCAACTATACGCCAACCCGTTGCCTACCATGTAACGCATAGTAAGTC GGATTTTAATACTCTTACATATTCTCTTCTTGGAGGGTATTTTAAGTTTACACCAATAGC TCTTACACATCAACTACGAACGGGATTTCACCCCGGGATTGCCTTTACCGTAGTGCGCCA GGATCGCTTTGCCACAGAGCAACTTTTATATGCCGAGCGTGCTTCTGAATCGTACTTTGT CGGACAAATCCAAGTACACCATCATGATGCTATTGGGGGGGTAAACTTTACCCTAACCCA ACCCAGAGCTCACGTGGACCTGGGAGTTGGGTATACAGCTGTATGTGCCACAGCAGCCCT GCGATGCCCTCTCACGGATATGGGCAATACTGCCCAAAATCTTTTTTTTTCACGAGGAGG AGTGCCAATGTTACATGATAACGTTACCGAATCGTTGCGTCGTATAACAGCATCGGGGGG TCGCTTAAATCCCACCGAACCCCTACCCATCTTCGGCGGACTGCGTCCTGCTACATCGGC AGGAATTGCACGAGGGCAAGCCTCTGTGTGTGAGTTTGTGGCCATGCCGGTGTCCACTGA CCTACAATATTTTAGAACTGCATGCAATCCTAGAGGTCGAGCATCTGGAATGTTATATAT GGGTGACCGTGACGCCGACATAGAGGCTATAATGTTTGATCACACACAATCGGATGTTGC TTATACAGATCGAGCAACTCTTAACCCATGGGCATCACAAAAACATTCATACGGTGACAG GCTATACAACGGAACATACAACCTTACAGGCGCTTCTCCTATCTACAGCCCATGCTTTAA GTTTTTTACACCAGCGGAGGTTAACACTAATTGTAATACACTGGATCGGCTTCTAATGGA GGCAAAGGCTGTGGCGTCGCAAAGCTCCACCGACACTGAATATCAATTTAAACGCCCTCC CGGTTCTACCGAAATGACACAGGATCCGTGTGGCCTTTTTCAAGAAGCATATCCACCACT ATGCTCAAGCGATGCGGCCATGTTACGAACGGCTCACGCGGGAGAAACCGGGGCAGATGA AGTTCACTTAGCCCAATATCTGATTCGAGACGCGTCGCCCCTTAGGGGATGTCTTCCTCT TCCGCGATAATTTCACCACGCCCACATACCCACTCCCAATAAAAGCCCTGTAGAGCGCAT TGGCATCTTACTTGAGATTTGGATACGCTCGGCCGACTTGGTCTGTTTCACGCTTCCTTA AACAACATGGCTATGCCATTTGAGATAGAGGTATTGTTACCAGGAGACCTATCCCCGGCG GAAACATCTGCATTACAGAAATGTGAGGGAAAAATTATTACCTTCTCAACCCTGCGTCAT CGAGCTTCACTGGTGGATATAGCGCTGTCGTCATATTACATTAACGGTGCTCCACCAGAC ACGCTCTCGCTGTTAGAGGCATACCGAATGCGATTCGCGGCAGTTATAACACGGGTCATC CCGGGAAAGTTGTTGGCGCATGCCATTGGCGTGGGTACTCCTACACCCGGGTTGTTTATT CAAAATACATCCCCCGTTGATCTTTGTAATGGCGATTACATCTGCTTACTTCCTCCGGTT TTCGGGTCCGCAGACTCAATTCGCTTGGACTCTGTAGGACTGGAAATTGTTTTCCCTTTA ACCATCCCCCAGACCTTAATGCGAGAAATCATCGCCAAAGTGGTTGCACGGGCCGTTGAG CGCACGGCCGCGGGTGCTCAAATTTTACCCCACGAAGTTCTACGAGGCGCGGATGTCATT TGTTACAATGGAAGGCGTTATGAACTCGAAACAAATTTACAACATCGGGACGGATCGGAT GCGGCTATTCGCACATTGGTTTTAAATCTAATGTTTTCCATAAACGAGGGATGTCTGCTT TTATTGGCGCTGATTCCAACTTTGTTAGTCCAAGGAGCACACGACGGTTATGTAAATTTA TTGATACAAACGGCCAATTGCGTTAGAGAAACCGGCCAGTTAATTAATATACCGCCAATG CCGCGGATTCAAGACGGCCATCGCCGATTTCCCATATATGAAACTATTTCATCTTGGATA TCAACATCATCTAGACTGGGGGATACCTTGGGAACTCGCGCAATTTTACGCGTCTGTGTG TTTGATGGACCCTCTACTGTTCATCCGGGAGACCGCACAGCCGTGATTCAAGTGTAAACA GGTGTTAATAAAAACACAACCAGTCTAGTTACATTTCACGCGTCTTGTTTTTATTTAATA GGCATAAACACGGAATCCGGTATACATGAACTGCCAATATACACGGACATAATTAATGCA ACCATCAGATCATCTGACATTGTTCCCGTGGTACCTTTACCCGTGTAAGTTTTTGTGTCT AGATGACCCATACCGCCTTTAATTACCTCTGTCAGGTTATCCAACTGTTTACATAGATAC TCCACGGGGTCTACACCTAACTTTACTGTTAGGGATACAAGCTCCTGTGAGGCTATTATA TTTCCGGAGTTAAATCGTTTAACAAAATAGTCTACGGCCGGCGTTTTTTGTTTTTGTAAT AAAAAAAAAGGGTACGCCACGCTACATCCGGGAGGTATGGAATGATAAAACAGTAACACT GGAGCGGAAGATAGCACGTTTCCCTTTTCGAGGACAGCAAACTGTTGTGCTATAGCCAAC GATATGGCAACTGCAGAATCCTGGCTGCTGTTTCCCTCTATAGAAACGTGTACGTTTGTA AATGTATTGGGGTGTAAAGCGAGTATGTGGCCTAAGCATTGAGTAACGCAACGCCCTATC TCACTGGAAGACGTGCCAGTTAAAGCTCTAAGAAAAAAGTGCTCCAATCCAAATATAATC CAATCCGACTTATAACGACCAACAATCGCTACACCAGTACCAGACGCTCCTGCATTTNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN AACCCCACACCCCCAGAATTCTGTTTACGCCCACCTACAATTTCCTGCACGAAGGAGTCG GCCATAAATAAATCTGCAGTGCGCCGCATGGCTCCATCCATTGTGATGAAAACCGGCTTA TTTAATACATAACACGAACAAGCTGTGACATCGCTATGTGCTAAAACACGCGGCATGTGA TCGTCGCATACATATGTAACAACGTTTAACAACTGATCCGACGATCCACGTAAGTTATAC AAAAAACTTGTACTTGCTTTTCCGGTATTTGTTGATGAAACAAAAATAATTTTACAATTG GTTTGATTTAAAAATCCGACTATAGTTTGTACAGCATCAGGTCGAATAAAATTAGCTTCA TCCACAAACAGAAGATTAAAATCTTGACCTCGGATACCCTGGAACGATAGAAAGATATAT AGTTACCCCACCAAAGTTTAAATGTATCCTTAAATACCACGTACGTAAAAAATGTTTGAA TACGTACATATTTCTTTTTTTTTTTTCCAGTACAACCATATCCGGTGTATAATGGAAGCC CATTTGGCAAATGAAACCAAACATGCACTTTGGCATAATGATCACACAAAAGGATTACTA CACGTTGTGATACCTAACGCGGGGCTTATTGCGGCCGGAATAGATCCCGCATTACTGATT TTAAAGAAACCCGGACAACGCTTCAAGGTTGAAGTACAAACAAGATATCATGCTACAGGT CAATGCGAACCGTGGTGTCAAGTTTTCGCCGCGTACATTCCCGATAACGCCTTAACAAAT CTCTTAATACCAAAAACGGAACCATTTGTTTCACACGTTTTTTCGGCCACGCATAATTCA GGGGGATTGATTTTATCATTGCCTGTTTATCTTAGCCCCGGTTTATTCTTTGATGCATTT AACGTTGTAGCGATACGAATAAATACTGGAAACCGCAAGCACCGTGATATTTGTATTATG TATGCAGAACTAATCCCAAACGGAACGCGTTATTTTGCTGATGGACAACGGGTACTTTTA TTATGCAAACAGCTGATTGCGTATATCCGATGCACCCCTCGTCTTGCATCGTCTATAAAA ATATACGCAGAGCATATGGTGGCAGCCATGGGTGAATCACACACGTCAAATGGGGACAAT ATTGGACCCGTTTCATCCATAATCGATCTTGATCGACAGTTAACTTCTGGAGGTATTGAT GACTCCCCTGCTGAAACACGCATACAGGAAAATAATCGGGACGTCCTTGAGCTAATAAAA CGGGCCGTAAACATTGTTAACTCCAGGCACCCCGTCCGACCTTCTAGTTCCCGCGTTGCA TCTGGGTTGCTTCAAAGTGCAAAGGGCCACGGAGCGCAAACTTCCAACACAGATCCGATC AATAACGGTTCCTTTGATGGCGTCCTTGAGCCGCCTGGACAAGGGCGATTTACGGGAAAG AAAAACAATTCGTCCGCCAGCATCCCACCTTTACAAGACGTTCTATTGTTTACCCCAGCT TCGACAGAACCCCAAAGTCTTATGGAATGGTTCGACATCTGTTATGCCCAATTAGTTAGC GGGGACACTCCAGCAGATTTCTGGAAACGGCGTCCCCTATCAATTGTACCGCGACATTAC GCAGAATCCCCCAGTCCGTTGATTGTAGTATCTTACAACGGATCCTCTGCCTGGGGAGGA CGTATTACCGGAAGTCCAATTTTATATCACTCTGCACAGGCTATTATTGATGCTGCGTGT ATAAATGCCCGGGTTGACAATCCCCAAAGCCTACATGTGACAGCTCGCCAAGAGCTAGTC GCGCGTTTACCGTTTTTGGCTAACGTCCTAAATAATCAAACCCCCTTACCCGCCTTTAAA CCAGGCGCCGAAATGTTTTTAAACCAGGTATTTAAACAAGCGTGTGTGACATCGCTAACC CAAGGTCTTATAACGGAGTTACAAACGAACCCGACTCTACAACAACTCATGGAATATGAT ATTGCAGATTCTTCCCAAACGGTTATTGATGAAATTGTAGCCCGCACACCAGACCTGATT CAGACTATAGTTTCGGTGTTAACGGAAATGTCAATGGATGCGTTTTATAACAGCTCCTTG ATGTATGCGGTTTTGGCGTATCTGTCATCTGTATATACACGACCACAAGGTGGGGGGTAT ATACCCTACCTTCACGCTTCCTTCCCATGCTGGTTAGGTAATCGTTCTATATATTTATTT GACTATTATAATTCAGGAGGGGAAATACTTAAGCTTTCCAAGGTCCCCGTTCCCGTAGCC TTAGAAAAGGTTGGTATTGGTAATTCCACACAACTGAGGGGTAAATTTATACGCAGCGCG GATATTGTTGATATTGAAATTTGTTCTAAGTATTTACCCGGTCAATGTTACGCGTACATT TGTCTAGGATTTAACCAGCAATTACAATCCATTTTAGTTTTACCGGGGGGATTTGCGGCA TGTTTTTGTATTACCGATACCCTACAGGCAGCACTACCTGCATCGTTAATCGGACCTATT CTAGACAGATTCTGCTTCTCTATTCCCAACCCCCATAAATAAATTAGTGTCACTATAAAA ACATAACACCAGAATCTCTTCATATTTAATTTTACGTCATTTCNNNNNNNNNNNNNNNCT CTTAAAATATAAAATAACCGGGTGGGTGGCATTAAACCCACAAGTACCCGGGCGGCAATC CGCTAGACTGTTTTTCTGCTCATGGAATTACAACGCATATTTCCGCTGTACACCGCTACG GGTGCAGCGCGCAAATTAACCCCCGAGGCAGTTCAGAGACTCTGCGATGCATTAACGCTG GATATGGGATTATGGAAGTCCATCCTGACCGATCCCCGGGTGAAAATAATGCGATCAACT GCTTTTATAACTTTAAGGATCGCTCCGTTTATCCCCCTTCAAACGGATACTACTAATATT GCCGTTGTTGTAGCCACAATTTACATCACGCGCCCACGTCAGATGAACTTACCTCCGAAG ACTTTTCATGTAATTGTAAATTTTAATTACGAGGTCTCGTACGCAATGACGGCGACTTTA AGAATTTATCCGGTTGAAAACATAGACCATGTTTTTGGAGCAACGTTTAAGAACCCGATC GCGTACCCCCTTCCAACATCTATTCCGGATCCTCGAGCAGATCCCACCCCCGCAGATCTT ACACCAACGCCAAACTTAAGCGACTACTTACAACCCCCGCGGCTTCCGAAAAATCCATAC GCATGTAAAGTTATTTCTCCGGGAGTGTGGTGGTCAGACGAACGAAGGCGTTTATATGTA CTGGCTATGGAACCTAATTTAATAGGGCTATGTCCCGCCGGATGGCATGCTCGGATACTT GGCTCTGTATTAAATCGACTCCTCAGCCATGCGGACGGATGTGATGAATGTAATCATAGA GTTCACGTGGGGGCACTGTATGCGTTACCCCATGTCACAAATCATGCGGAAGGTTGTGTG TGTTGGGCTCCGTGTATGTGGAGAAAGGCCGGTCAGCGGGAATTAAAAGTGGAGGTAGAC ATTGGCGCCACGCAGGTTCTTTTTGTAGATGTCACCACCTGCATTCGAATTACGAGTACT AAAAATCCTCGCATTACCGCAAATCTTGGCGACGTTATAGCGGGAACCAACGCCAGTGGT CTCTCTGTACCAGTAAATTCATCTGGGTGGCAGCTTTATATGTTTGGAGAAACATTAAGC CGGGCTATTATTAACGGCTGTGGTCTGCTTCAGCGAATTTGCTTCCCCGAGACACAAAGA TTATCGGGTGAACCGGAACCTACAACCACCTAGTATACCTTAACTCAACCGCCGTTGTGG AAAGGTATATGTCAACATTTACAGTAATATATTAAAGGTTAAATTTATAAAACACTCACG TTTGTGTTGTGACTTGACGCGAACACCGCTGTGCTGTAAGACCCGTCGGTAAATGAAAAC GTAATAGATTCGCCTTTTACATGATCCACGTAATTTGCCCCAAACCACTGTTCCAGGCGA GACTTGATACCCTCAAACACGGGTTCCGTTGCTTTGCGTATATGAGCCGTATAACCCACT TTAATTCCTCTAAACGTGGCCATTACTAAAGCTATTAATGGTACAAGAAACCATGTTTTC CCATGTCTACGTGGTACCAAAAACACAGTTGATTTTTGTTTGAAGTGTTCTAAAACACTG TCAGAAACACTTGGCGTGTTAAACACTGTACGCAGAAAGCAGTCAACTCTGTCGGCATGA TCGCCCAATAGCACCGATGAAATAAAATGCGTGGTGTGCATGAGGATCATTTTTTGAAAC AGTTCCAACGTCCCCTTATATCTGCCATAGATTGGAACGTCAACCTTTGCGCGTTTGCCA TGACTTCCACACTCTTCAATACTCTCAAAAGATGTTTCCACAAGGTACGAAAACCGTTGT GTAAAGGTAGACAACTGACAGAAACTATCCGACAGAGAAAACGCGCGAAATGTGTTCATA ACCCCGCTATACGCATTTCGATGAGGTGCTGCTTCTTCCGGTGAATATTCATAAAACTGT ACACTACTGACAGCCTTTTTTAATTCAGGGCTTACGTTTGCATTTACCGAATATCGCCAT GGTTTCAAAACTACATTGGGGGTACAGTTGTACCCTGTTGACGATAGAAACGCGCCAAAC ATTGCCCGTCGAGCAGTAGCCGAGAACAGTGGAATATATTCACAACAGTTGTGAAGCGTT CCAATTCCGGGAATAACGGCCTGATGACGTCGGGTTACATCTATAGCAAAATTCAGAAAC GGGATTTGGGTTGCGTTTCCCAGAGACCCTTGCCGCGTGGAACACGGGGTAGGGGACTCC AACGTCTAAAGCGTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTACGTACTCGTTACGTATATA TCATAAACATTTTCAGGGCCGCATTCATTCACTTTGGTCATGTCAGGCCACACTCCAACC TACGCTTCTCATAGGCGTAACCGTGTCAAACTAGTTGAGGCGCATAACCGCGCGGGGTTA TTTAAAGAACGGACCCTCGATCTAATCCGTGGGGGTGCGAGTGTACAAGATCCAGCATTT GTGTATGCCTTTACTGCTGCCAAAGAGGCCTGCGCCGATTTAAATAACCAGCTCCGCTCT GCAGCTCGCATAGCTTCAGTTGAACAGAAGATTCGTGATATACAATCCAAGGTTGAGGAA CAAACAAGTATTCAACAGATTTTAAATACAAACAGACGCTATATAGCACCCGATTTTATT CGCGGTTTGGATAAAACAGAAGACGATAATACCGATAATATAGACAGACTGGAAGACGCG GTAGGACCGAACATCGAACACGAAAATCATACTTGGTTTGGAGAAGACGACGAAGCGTTA CTTACACAATGGATGCTGACGACACACCCCCCAACCTCCAAATATCTCCAACTGCAGGAC CTTTGCGTTCCCACCACAATACCGACGGACATGAACCAAATGCAACCACAGCCGATCAGC AAGAACGAGAATCCACCAACCCCACACACGGATGTGTAAATCATCCATGGGCCAATCCGT CAACTGCAACATGCATGGAATCACCAGAACGATCACAACAGACAAGCTTATTTTTATTAA AGCACGGCTTAACGAGAGATCCAATACATCAACGCGAAAGGGTGGACGTTTTTCCACAAT TTAACAAACCCCCATGGGTTTTTAGAATTTCCAAATTATCCCGTTTAATTGTACCCATCT TCACGCTCAATGAACAGTTATGTTTTTCTAAATTACAGATTCGAGATAGACCCAGGTTTG CGGGACGGGGAACGTATGGGCGTGTTCATATATACCCATCGTCAAAAATAGCTGTAAAAA CCATGGACAGTCGTGTTTTTAATAGAGAGTTAATTAACGCGATTTTAGCGAGTGAGGGTT CTATACGAGCAGGGGAAAGGCTAGGTATTTCTAGCATAGTTTGCCTTTTAGGTTTTTCGT TACAAACCAAACAGCTACTGTTTCCGGCATACGACATGGATATGGATGAATACATTGTTC GCCTGTCCAGACGGTTGACAATACCTGATCACATAGACAGAAAAATTGCCCATGTATTTT TAGATTTGGCTCAAGCGTTGACGTTTTTAAATCGAACGTGCGGCCTGACCCACCTAGATG TGAAATGTGGCAATATTTTTCTTAACGTCGACAACTTTGCCTCGTTGGAAATAACCACAG CAGTAATCGGAGACTATAGCCTAGTAACATTAAATACGTATTCCCTTTGTACTCGAGCGA TATTTGAAGTTGGAAATCCATCCCACCCGGAGCACGTACTACGCGTACCCCGGGATGCAT CGCAGATGTCATTTCGTTTGGTGTTGAGTCATGGAACAAACCAACCCCCTGAAATCTTGC TTGATTATATTAATGGAACGGGCCTTACTAAATATACTGGAACCTTGCCCCAAAGAGTTG GACTTGCGATTGATCTTTATGCATTGGGCCAAGCACTCTTAGAAGTTATCCTGCTAGGAC GTCTTCCCGGACAACTGCCCATTTCAGTACATCGGACCCCGCATTATCACTACTACGGTC ATAAGTTATCACCAGATTTGGCGCTTGATACGCTGGCATATCGATGTGTCCTGGCGCCAT ATATACTCCCATCTGACATCCCCGGGGACTTAAATTATAATCCCTTTATACACGCCGGAG AGCTGAACACCCGTATTTCCCGGAATTCTTTACGCCGGATATTCCAGTGTCACGCAGTGC GTTACGGCGTAACGCACTCAAAGCTTTTCGAAGGCATACGCATTCCGGCCTCATTATACC CAGCCACTGTTGTTACGTCGTTGTTGTGTCACGATAATTCAGAAATACGCTCGGATCACC CTTTATTATGGCACGATCGGGATTGGATAGGATCGACATAAGCCCCCAGCCAGCCAAAAA AATTGCCCGTGTGGGAGGTCTACAGCACCCTTTTGTAAAAACGGATATTAACACGATTAA CGTTGAACACCATTTTATAGACACGCTACAGAAGACATCACCGAACATGGACTGTCGCGG GATGACAGCGGGTATTTTTATTCGTTTATCCCACATGTATAAAATTCTAACAACTCTGGA GTCTCCAAATGATGTAACCTACACAACACCCGGTTCTACCAACGCACTGTTCTTTAAGAC GTCCACACAGCCTCAGGAGCCGCATCCGGAAGAGTTAGCATCCAAATTAACCCAAGACGA CATTAAACGTATTCTATTAACGATAGAATCGGAGACTCGTGGTCAGGGCGACAATGCCAT TTGGACACTACTCAGACGAAATTTAATCACCGCATCAACTCTTAAATGGAGTGTATCTGG ACCCGTCATTCCACCTCAGTGGTTTTACCACCATAACACTACAGACACATACGGTGATGC GGCGGCAATGGCGTTTGGAAAAACCAACGAACCGGCGGCACGAGCGATAGTTGAAGCATT GTTTATAGATCCGGCTGATATCCGTACTCCTGATCATTTAACGCCAGAAGCTACAACTAA GTTTTTTAATTTTGACATGCTCAATACCAAATCTCCAAGTCTCCTTGTGGGTACACCAAG AATCGGAACGTATGAATGTGGACTTTTAATCGACGTTCGAACGGGACTTATAGGCGCGTC GTTGGACGTTCTTGTATGTGACAGGGACCCTTTAACTGGCACCCTAAATCCCCACCCTGC AGAAACCGACATTTCATTTTTTGAAATTAAATGTCGTGCTAAATACCTCTTTGATCCAGA TGACAAAAATAACCCGCTCGGTCGGACGTACACCACGTTAATAAATAGACCTACAATGGC AAATCTACGGGACTTTTTATATACTATAAAAAACCCATGTGTAAGCTTCTTTGGACCCTC AGCAAACCCAAGTACACGCGAGGCCTTAATAACGGATCACGTTGAATGGAAACGTTTAGG ATTTAAAGGTGGGAGGGCCCTTACAGAACTCGACGCCCATCATTTGGGCCTCAATCGGAC AATCTCATCCCGAGTGTGGGTATTTAATGATCCGGACATACAAAAGGGGACAATTACAAC CATTGCATGGGCCACTGGAGATACGGCTCTTCAAATTCCTGTATTTGCCAATCCGCGGCA CGCTAACTTTAAACAAATTGCCGTACAAACCTATGTATTATCCGGTTACTTTCCAGCGCT AAAACTACGGCCCTTCCTTGTCACCTTTATAGGACGTGTGCGCCGACCACACGAGGTGGG AGTCCCATTGCGCGTCGATACACAAGCGGCTGCCATTTACGAATATAACTGGCCGACTAT CCCACCCCACTGTGCGGTTCCGGTTATAGCCGTTCTAACGCCTATCGAAGTTGATGTGCC TAGAGTGACACAAATACTTAAAGACACAGGAAACAACGCGATTACATCAGCATTGCGGTC ATTGCGATGGGACAATCTTCATCCAGCGGTCGAGGAGGAATCTGTGGATTGTGCAAACGG TACAACGAGCTTGTTACGTGCAACGGAGAAACCGTTGCTTTGAACTCAGAGTTCTTTGAA GACTTTGACTTTGATGAGAATGTAACAGAGGACGCCGATAAATCCACACAACGCCGCCCA CGAGTGATCGATGTAACACCAAAACGAAAACCTTCGGGAAAGAGCTCCCATTCCAAATGC GCAAAATGTTAAACCCTGATAAACCCTGATAAACGTTCTAATAAAAACATCAAATCATGG TTGGTTACTGTGAATGTTTGTTTTATTGCTTGGGGGTTTACAAGTACAACCCACGCTACT CCCACCCACTGTTTGATCGCTCGTATAACAGCTCATCCTCACGGTCCGTTTCATATGTTG AGTCATTTTCATAGACGTAGCCGTAGCCTTGTGATGGGTAATTTGTGCGGCGAGAATTTC TATGTGCAGGTTTTACTTTTCGTATGTATCCCCGTACCCGCTCGGGTACTCTTCTTACGG CACCGTAGAACCGACTGCGTTTCTGTCGATGATACACATATGCACGCATCAATCTGAGAA GCAACATGACAACGGAAAACACGGCCAGGCAAGCCAAGGTTCCCCGAGTTGTGGGAATTA ACCGTGGAGATTGAACCGATATAGGGTCATATAATCGGTCCATATACGAGTGCGCGGCGG TTCCCAACGTAGCACAGGCCACGAGCGTTCCCAGGGACGGTCCTATTAACACGTGTATAT AATGCGCCAAAATTAATTCTGATACTATAAGATATACAACTGACAATGTACTAAATGTAG ACATGGCCACGGACACCGATGACCACAGTCCCGTATGTAGATGATTCGCCACCACAAGTT CCAGCATTAATGATACAAATAGGATACATATCGCCATCAACGCAGCCATCAAATTCACGA ACACTGCGCGCGTAGGCCCCGCAAGGCGATATAAAAAGACGCTCTGCTGTCGTAAATTTG CGACCGCTTTTATGTTCGTTTCGTCCAATTTTCCGCGTCCACAAAAATACGTTGTAAATA TTACACTTGTCGCAAAATGTCCAAGATATAATGTAGCAGCCACGCCGATTTGCTTGTAAG CTAATAATAACACAACGGCGTTTAATAACCACAATGACAAAAGACCCCAAAAAAGTGTTG TGGGATCTACAACTAACCATGCAACACCGGAGCTTTGCCGGACACGTTGATTTTTCGTTT CTCGGTGTATAATCGCGGCCGTGATCAGTGTATATACCGCCATGGCCATTGCCGTTAAAG CCGTGTAGTAAGTAAATGCCACAACGCTATGTGGTTCCAAAAACAAAACCGGGGCGCTGT ATCCACCTCTATTTCCGGACCATACCCCCCCATCTAGGGTGGCGTTAAATAACTCATAAT CAACTACGGCAGCATAAAAACAAGGGATCCCGGTATATTCAGAAGAGGCGGCAATTAACG TAGCCAGGAGCATTACCGCACCCAAAGTGAACATCATCACCTGAATTATCCAAATTCGCC AATTAAGCGTATCCATTTGATGATCTAACGCTTCCACCTCGGGTGTCGTGGTGTCGTACG GTGAGACTTTTTCAGAACGCGGCCCCTTCTTTTGAGTTCCCATGTCTCCCAACACCGGGG AGAGCAACGCCGCCGTCTATGCGTCCAGTACNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNGTCACAAACTCGCCCGGTAACCGTCGTACGTG CCCCTATGGGCTCTGGTAAAACAACAGCCTTGCTTGAGTGGCTTCAACACGCGTTAAAGG CAGATATTAGCGTACTGGTTGTCTCATGTCGCCGTAGCTTTACCCAGACGTTGATTCAAC GGTTTAACGATGCAGGCCTCTCCGGATTCGTAACATATTTGACATCCGAGACATATATTA TGGGTTTTAAACGTTTGATTGTGCAACTTGAAAGCCTACACCGCGTATCCAGCGAAGCTA TCGACAGCTACGACGTATTAATACTGGATGAGGTAATGTCAGTGATTGGACAATTATACT CCCCCACAATGAGACGTCTTTCCGCGGTTGATAGCCTATTATATCGTCTTTTAAATCGCT GTTCTCAAATTATCGCGATGGATGCTACAGTAAACTCTCAGTTTATTGATTTAATCTCCG GATTGCGTGGAGATGAAAACATACACACAATTGTGTGTACATACGCGGGAGTTGGGTTCT CCGGAAGAACTTGCACGATCCTGCGTGATATGGGCATCGACACGCTTGTGCGAGTCATTA AACGATCTCCTGAACACGAGGATGTACGTACCATACACCAACTACGTGGAACATTTTTTG ACGAACTAGCACTACGATTACAATGTGGGCATAACATCTGTATATTTTCATCAACTTTAT CGTTTTCGGAGCTAGTTGCTCAGTTTTGTGCAATATTTACAGACTCTATTCTTATTTTAA ACTCAACTCGGCCCCTATGTAATGTAAACGAATGGAAACATTTTCGCGTGTTGGTGTACA CTACCGTCGTGACCGTTGGATTGAGTTTTGACATGGCTCATTTTCATAGCATGTTTGCTT ACATAAAGCCAATGTCATATGGGCCGGATATGGTATCGGTCTACCAATCATTAGGGCGTG TACGGTTATTGCTACTTAATGAAGTTTTGATGTACGTCGATGGCTCAAGGACCAGATGCG GACCCCTGTTCTCGCCAATGTTACTAAACTTTACCATCGCAAATAAATTTCAATGGTTTC CTACACACACCCAAATAACTAACAAACTGTGCTGTGCATTTAGGCAACGATGTGCAAATG CATTTACACGCTCGAACACCCATCTCTTCTCAAGATTTAAATACAAACACCTTTTCGAGA GATGCTCTCTTTGGAGTTTAGCCGATAGCATTAATATCTTACAAACTCTTTTGGCCTCTA ACCAAATTTTGGTTGTATTGGATGGCATGGGTCCAATAACGGACGTTTCCCCAGTTCAAT TTTGTGCATTTATACACGATCTCAGACATAGCGCTAACGCCGTAGCTTCCTGTATGCGTT CTCTTAGACAGGACAATGACAGCTGCTTGACCGATTTTGGCCCTTCCGGATTTATGGCCG ATAACATTACCGCGTTTATGGAAAAGTATCTTATGGAGTCAATTAATACCGAAGAACAAA TTAAAGTATTTAAAGCCCTTGCATGTCCAATAGAACAGCCTAGACTAGTCAATACGGCAA TATTGGGGGCGTGTATACGAATACCTGAAGCGTTGGAAGCATTTGACGTATTTCAAAAAA TATACACGCACTACGCTTCCGGTTGGTTTCCCGTCCTGGACAAAACCGGGGAATTTAGCA TCGCGACTATAACTACCGCCCCAAATTTAACCACACATTGGGAGCTGTTTCGCCGTTGTG CCTATATTGCAAAAACACTCAAGTGGAATCCGTCCACCGAAGGCTGTGTAACACAAGTTT TGGATACGGACATTAATACACTTTTCAATCAACACGGGGATTCGCTGGCTCAACTAATAT TTGAGGTTATGCGCTGTAACGTTACCGACGCTAAGATTATNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNGCTTATGAGCCATCGCCATTCGTTCTCCCAACAGCGTTACAAAATTACTG CCCCCGCTTGGGCACGCCACGTGTATTTTCAAGCACATCAAATGCACTTGGCCCCGCATG CCGAAGCCATGCTACAATTAGCGCTATCGGAACTGTCCCCGGGATCGTGGCCGCGGATAA ACGGGGCGGTAAATTTTGAAAGTTTATAACCCATTAATACCATATATGGACATCCATAGG GGGGGTTACATAAATACTAAGCCTCTGTACAACACAAAGGGCCTCTAACAATGCACTGAA CCACAACCAAGCTATGGACGCAACGCAGATTACCTTGGTTAGAGAAAGCGGACACATTTG TGCCGCAAGCATATACACATCCTGGACACAGTCCGGACAATTAACACAGAACGGTCTTTC CGTGTTATACTACTTATTATGCAAAAACTCATGTGGGAAATACGTCCCTAAGTTTGCCGA AATTACCGTACAACAAGAGGATTTATGTCGCTACTCCAGGCATGGGGGGAGTGTTTCTGC GGCAACGTTTGCGTCTATCTGCAGGGCGGCGTCCTCGGCTGCGTTAGACGCCTGGCCCCT TGAACCACTGGGTAACGCAGACACCTGGCGGTGTCTCCATGGCACTGCCCTGGCCNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCGTTGCATCTTC CCTTTCAATATTAGCGGCATGTGGACTGTGGTACGCGGCGGCGTTTGGAAAACCCGGGGT TGTCCGTCCAATCTTTGCGTATTTAGGCCCGGAACTCAATCCGAAGGGTGAAGACAGAGA CTACTTTTGTACTGTCGGATTTCCCGGATGGACCACTCTTCGGACACAAACTCCAGCCGT CGAATCTATTCGCACGGCTACGGAGATGTACATGGAAACGGATGGGTTGTGGCCAGTAAC CGGTATTCAGGCCTTTCATTATCTAGCCCCCTGGGGACAGCATCCCCCCTTACCTCCGCG GGTGCAGGATCTTATTGGGCAAATCCCTCAAGATACTGGACATGCAGATGNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCCCGCCATGGA ACCGGTACTCCGGGTCGAGGGTGTGTACACTCACGCATTTACCTGGTGTACCACGGGAAG CTGGCTGTGGAATTTACAAACAAACACGCCTCCGGATTTAGTTGGCGTGCCATGGCGAAG TCAGGCGGCGCGAGATTTAAAGGAGCGTCTTTCAGGACTCCTATGTACCGCAACAAAAAT TCGAGAACAGATACAGGAAAATTGCATATGGGACCATGTCCTATACGACATATGGGCCGG ACAAGTTGTGGAGGCTGCCAGAAAAACATACGTCGATTTTTTTGAACATGTTTTTGATCG CCGTTATACTCCGGTATACTGGAGTCTTCAGGAGCAAAATTCGGAAACAAAAGCAATACC GGCATCTTATCTGACATACGGACACATGCAAGATAAGGATTATAAACCAAGACAGATAAT TATGGTTCGTAATCCCAACCCACATGGACCTCCTACTGTTGTTTACTGGGAATTGCTACC ATCGTGTGCCTGTATTCCCCCCATAGACTGCGCTGCTCATCTCAAGCCCCTTATACACAC GTTTGTCACTATTATTAACCATCTTCTAGATGCTCATAATGATTTTTCAAGTCCATCATT GAAATTTACTGACGATCCCCTTGCTTCATATAACTTCTTGTTTTTATGACAAAAAAACAC GCCGCAACAACCCATCCTTAAAATAAAAGGTTTATTTNNNNNNNNNNCCGTGGTGAATTT TTATACGTTTCAAATAACTGAACATTTTTCGGTGTTACCATGGTGCGATTTAACCACCAA AAATATACGCTCTTCTGATATTCCGAATCTCGTAAAGGTCCATTTAACAATCCCGGGGGC ACTTGCACCACACCATCTGGACAGGGGGGGGTTCCGTGGGGCAGGTCAAAACGCTGACCC ACCCCACATGAATATATAGCCTTTATAATATTGGGGGCCGTTCCAGGCTGAGGGTTCAGT AACTTAACAAACATATAATGCGGCAATACGCGGGTTTTTGTAAAGGGGTTGTTATCAACG ACATACATTAGAGTGTTTAACAACCATAAAACTCCCTCATATAAAAACCGACGCATTTTT TCCAAAGGTCCTATTTGACACTCAACGCGTCTAAGATATACAGACAATTGTACAAACAGC GATGGAGATGCCCCGGAGGGCCCAATGCCTTCCAGATACATTAAAATAACACATAAGGTA AAATCTAAAACATTATCCGGGCGGAATAGAGTCATCCGATAGATTAACAGGCGCGGAGGC ACCCCCACCGTATACACCCTATCTTCAACCGCAGTTAATACGGAAAAAATAAATCCGCGG AACGCTGGTTGAGTAACACACTCCATGTAGTAACGATCACAGGACACCTCACTTGAATCA CCATTCAACACTACTAAAACGGTCTCTTGGTGTTCCGGTTTTACGCGCAGTGATACAACA GAGTTTGCCAAAAAGCGTGGCTTCAAACCGGTTACCTCCCGCGCCTCGCATACGAATCTT GGTATTGCTTGTATTCTAAGATCTTCGATCACGTCGCTCACATCCAACCCCTCTTCGGCT CGTGTTAGTAAGTTGTCGATCGTTACGCTGCAACCTAAAATGCTGGGTATATTTATTCCG GACATCCCATCGGCCATCCCCGCGCCTCCGGTTTGCTCGAATTTTATCCAGTAAGGTCGA ATCCGCTGCATTTACCTTGTGTACCCGTAACCTCTCAGGGGGGTGTCCTTTCATAAAATG GGATAGGTTTTTATATCCAACATGCATGTATTGGTTATTTATTTTATTGGGTTCCGGGAT TCTTTCGTCATCTTCTGTAGGGTCAGGCAAACCCCAGGAAGGACTTGGCGTTCTCCGTGG GCCCCGTTTTATTACCTCTGCGCGAACCTGCATTTCATATAATATTCGGATTTGGGATAA ATAGGACTCTGTTCTCGCCTTTTTAAAAATAGCCTGGCATAACTCTTCCTCTGACCTATG TACCTCGCTTTGAGTTACCAAGAATCCTAATCGGGTGGCCCGTAATATGAATGAAAAATA CGGCGCAACTAGTAATGAGATTGACGCATTTGAATATGATACAGAAATTTCCTGGCCTTG ATTATTGTTTACCCGGTGAAGCTTAAAACAGCGAACAAGTTCCTGTTTCCATAGCTCAGA CAAACGTGTTATATCATCTCCATAAGGGGGGATATAACGAGATTGAAAACTATTGGCAAT ATATGCATCATCCCCTATTATGCCGGTAAGATCTATAACCTCGTGATTTAAATCGGCAAT ACGTGTTTCTTCTGCCATTGTAATATGTGACCCTTTAGATGGCTTTATTTTTACCCTCTC TTCCCGTAACCGTTTCAGCTCTCCTTCTTTGAACTGGAGCCTTTCGGTCAGATCGCTGTT CACATCCTTGAGACCCTCAATGGTTTTGAATAAATTATTCACATAACCCTCGAGCATGCC GTTGATACTGTTAACCACCGATGTTTTAAACGCACTTTGAACGTTTGTTGTTCCGGACAT TGCCCCCCCGTTAAAGGATTGGTTGGCCTTGCCAAACCCCGGTTGTGATGTGTCCACCGA TCCACTTCCTTCCAGAATGTGATTGCCCGTTTCTTCTAGATAGGAACGTACGGTTTCGGT AATATCTCCAACATGTCTCATGTTTTTTAAGTTAACTATTAGCTTTACAAGTCTAGACGC GGCCGATCCAGCCCGTGTTGTATCGTTCTCGCCCATTATACGATCAACCGCACGTGTGCT GTGAGATCTATCATCTTCATTCCGGCGACCTATTAACACGCGCAAAGGGGCTGTATTTAA AACTTGGCAGACGCGAGCATGTTCACGTAATGCATAACAGGCCAACACCTCCCCAGAAAG CCGCTGTAAGGGTGAGTCAAATACTACACCCTCCCCACATACAACGGGCGGCCACACGAC CAAACACTCTCCCTTCATGCCCGTTACATCATCCTTTGCCATAATTAATCTTCGGTTATA ATTATAATAAAGACGCGTCCTATCATAATCCATAATAGCAACATTTTGCATACACTCAAC TAGGCTTGTGACAACCGCCGCCCCTCTGGCCAACGTTGCATCGGCAACTTTTAACATCTG GGACAGTTCTGCCGCTTGACTCATATACGTATTTAATGGTGCAGGGGTTCCATCCTGTTC TGATCGTACCTTTCTTACAACGGGCACAATACCTACACAGGCTATCCAGTCCACGTATTT GGCAAAACCGACCCTTCCATTTAAACCACTGGTATAGAGACAACCGGTTATTCCACGCAG AAACTCAAGTAACGATGACTGTAATGTTTGACGCCAGGTTTCAAAAACCTGATGTGCAAG CCGTACGGCTTCTGATTCTCCACATAACCCATAACGTTCCGCTAGAGCCCCGGCATGCAG GTTACATTGTTGGATGTGGTGTTCCCAATCTGCTGCTAGGTCCTCATACCGAGTTGCATC CAACGCGTTCATCAAAACGGTTGCCTGAACTTGGCGAATTACAGTTTCCGTAGACCGTAC AGCGCTATATATGCCTTGTCCATCGGTATATCCAAAGTCACCGGCTAGGATTTTTCGAAA CAACATACTTTGCGTGGTTGGGTGTATTAACATCCAGCCATCTTCCTCCGGAAATGTACA AAACCCTATATCCGGGGCGTACTCATTCCAGTATATATCGAACATGTTCTTGTATTGGTC ATTTGGGTTACTTCCATTCAAGCCCTGGTCAATAGAAACAGAACTTGCTATCCTTTTTTC TTCACTACCGGAACTGTTATTAAAAAGAGACGTTATTTCGGCCATTGAAAACCACGATGA AAAGATCAATTTCTGTAGACAGTTCTTCACCCAAAAACGTTTTTAATCCAGAGACGCCCA ATGGATTTGATGACAGTGTATATTTAAACTTCACCTCTATGCATAGCATTCAACCTATCC TCTCACGGATTCGAGAACTTGCCGCAATTACGATTCCAAAAGAACGTGTTCCGCGGTTGT GTTGGTTTAAACAGTTACTCGAACTGCAAGCGCCTCCTGAAATGCAGAGGAATGAGCTCC CCTTCTCCGTTTATTTAATTAGCGGAAATGCCGGCTCCGGAAAAAGCACGTGTATCCAAA CGCTTAACGAAGCTATCGATTGCATTATTACCGGATCCACCAGGGTTGCTGCCCAAAATG TTCATGCTAAGTTATCAACGGCTTATGCGAGTCGTCCGATAAACACAATCTTTCATGAAT TTGGTTTTCGCGGAAATCACATTCAGGCTCAGCTGGGCCGTTACGCATATAACTGGACTA CGACCCCCCCTTCTATTGAGGACCTGCAAAAAAGAGATATTGTATACTACTGGGAAGTTT TAATTGATATAACAAAACGAGTGTTTCAAATGGGGGACGACGGTCGCGGAGGAACATCGA CATTTAAAACCCTGTGGGCAATTGAACGTTTGCTTAATAAACCTACAGGCTCAATGTCCG GAACCGCGTTTATCGCATGCGGTTCCCTTCCGGCTTTTACCCGGAGCAACGTTATTGTTA TTGATGAAGCAGGATTGCTAGGGCGTCATATTCTCACGGCCGTTGTTTACTGTTGGTGGC TTTTGAATGCTATATATCAAAGCCCTCAGTACATAAACGGTCGAAAACCGGTCATAGTAT GCGTCGGTTCGCCCACCCAAACTGACTCGTTAGAATCTCATTTTCAACATGACATGCAGC GTTCACACGTAACTCCTAGTGAAAATATACTCACGTATATAATCTGCAATCAAACTCTGC GTCAATATACTAACATCTCACATAACTGGGCAATCTTTATTAATAACAAACGATGTCAAG AGGACGATTTTGGAAATCTTTTAAAAACGCTTGAGTACGGGCTACCTATTACCGAAGCAC ATGCGCGTCTGGTCGATACATTTGTTGTACCTGCATCCTATATTAACAATCCTGCTAATC TTCCCGGATGGACGCGTCTGTATTCGTCGCATAAGGAGGTGAGCGCGTATATGAGTAAGT TACACGCGCATTTAAAACTATCGAAAAATGACCATTTTTCTGTGTTTGCCTTACCGACTT ATACATTCATCCGGCTAACGGCATTTGATGAATACCGCAAATTAACGGGACAACCCGGAC TTTCTGTTGAACATTGGATACGGGCAAACTCCGGTCGTTTGCACAATTATTCCCAAAGCC GAGATCATGACATGGGAACAGTTAAATACGAAACACATTCAAATCGCGACTTAATTGTAG CCCGTACAGACATCACTTACGTGCTAAATAGTCTCGTAGTTGTAACCACAAGACTACGTA AGTTAGTTATTGGATTCAGTGGTACATTTCAATCGTTTGCAAAGGTTTTACGTGACGACT CCTTTGTGAAGGCTCGAGGAGAGACATCCATCGAATATGCTTACCGGTTTCTGTCAAACC TAATCTTTGGAGGCTTGATTAACTTTTACAATTTTTTGTTAAATAAAAACCTACATCCCG ATAAGGTATCGTTAGCATACAAACGGTTAGCTGCCTTAACCCTGGAGTTATTGTCTGGAA CAAACAAAGCCCCCTTACACGAAGCAGCGGTTAATGGGGCGGGTGCCGGGATTGACNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNCCTTCTGCTTTACCAGAGCCCCCGAGTCCAAAG TAACGGCCTCCATACCCGAAGACCCGGATGATGTAATTTTTACGGCACTTAACGACGAGG TTATTGACTTGGTATACTGCCAGTACGAATTTTCCTATCCCAAATCATCCAATGAGGTCC ATGCTCAGTTTCTGTTAATGAAAGCTATTTACGATGGTCGATATGCCATATTAGCAGAGC TTTTCGAAAGCAGCTTTACAACCGCCCCCTTTAGCGCGTATGTCGATAATGTTAATTTCA ACGGAAGCGAGCTTTTGATCGGCAATGTGCGGGGGGGGCTGTTATCTTTGGCATTACAAA CAGATACGTATACCCTTTTGGGGTATACTTTTGCACCCGTGCCAGTCTTTGTAGAGGAAC TGACCCGAAAAAAGCTGTACCGCGAAACTACCGAAATGTTATATGCTCTACACGTACCTC TTATGGTCTTACAGGATCAACATGGGTTTGTGTCCATCGTAAACGCTAACGTATGTGAAT TTACCGAGTCTATAGAGGATGCAGAATTGGCAATGGCCACCACGGTGGACTATGGCCTTA GTTCTAAACTAGCCATGACAATTGCACGCTCACAGGGTCTGAGTTTAGAGAAGGTAGCTA TCTGTTTTACGGCGGATAAACTGCGCCTAAATAGTGTGTATGTTGCCATGTCGCGTACGG TCTCCTCTAGGTTCTTAAAAATGAATCTAAACCCTCTACGGGAACGATATGAAAAATCCG CAGAAATTAGCGATCACATTCTTGCCGCTCTACGTGATCCCAACGTACACGTTGTGTATT AAAGCATTGTATAAAAACACGCATGCGGGCTTGCTGTTCTCATTTCTAGGTTTTGTCTTA AATACACCCGCCATGAGCATCTCTGGACCCCCAACGACGTTTATTTTATATAGGTTACAT GGGGTTAGGCGGGTTCTTCACTGGACTTTACCGGATCATGAACAAACACTCTACGCATTT ACGGGCGGGTCAAGATCAATGGCGGTGAAGACGGACGCTCGATGTGATACAATGAGCGGT GGTATGATCGTCCTTCAACACACCCATACAGTGACCCTGCTAACCATAGACTGTTCTACT GACTTTTCATCATACGCATTTACGCACCGGGATTTCCACTTACAGGACAAACCCCACGCA ACATTTGCGATGCCGTTTATGTCCTGGGTCGGTTCTGACCCAACATCTCAGCTGTACAGT AATGTGGGGGGGGTACTATCCGTAATAACGGAAGATGACCTATCCATGTGTATCTCAATT GTTATATACGGTTTACGGGTAAACAGACCTGACGATCAGACCACACCAACACCAACCCCG CACCAGTATACATCGCAAAGGCGGCAGCCTGAAACCAACTGTCCTTCTTCACCACAACCG GCCTTTTTCACATCAGACGACGACGTTCTTTCGTTAATATTACGGGACGCCGCAAACGCG TAAAGACAGATTCAAGACTAACATTTATCCCAACTGATTACATTTCATACGCGAATAAAC GACACAAAAAATTTATATTTAACGGCTTTTAATTTGAAGACACCTATCCTCTTAACGTTG ATGAGCCTTGCAGGTTGGGTGCCGCGCTTCACCGGTATTATACATAACCGATTTACCGTG TTTACGGCAGTCTGACCATTTACCAGTGTATGTCTGTAATACGACGTTGTTGTGTCCCGA CAAAATTAACTCGCGTACAAATTTCTGATGTTCCCCCGGCGTGGCAACGCTGGCATTTCC AAACACATTACGTTCTCGTACGTCCATGACCGCTATTTTCAGTATTAATTGGTTGGTCGG TCAAAGTATTTTCCTTATGTAAAAGGACACGATCTAAAGCCGTAAACTCGTACACAAACA CTGGTACCAACGGACGCGATTTTCCGTCCGTTGAGCGGGTGTAATATCGGCGAGGTCTTC TTGCACGAATACTCTCGTACAGTAGGTTTCTGACACGGGGTGCATGGGTTTTTTGACACA ACACAAACATTTGCAGGCTCTTATGACTGGATGGATTGAATTTATTTTTAGATAGGGTCA CGTGTTTTTGTCGTGACACGCCTCGACCAGAAAAGGCTGCGGTTTTCGTACACGCGACCG TTATTTCACAGGCGTTCATAACCAAGCTGCGGCGGATGGTGTCGGTTAATTGTCTCCGCC CAAGTTCGTCAATAGATGATACCATGAACAACGTATCAAATGGTACATAGTCGTCTTTGG TTTTCTCAATACAGCCCGCGTGCCCAATCGGAAAATTTTCATTTGCATCAACGCTATTTT CTGTAAAATCGTTCTGAACACTGTGTTGGCTGGCTACCTGTTTAAAATTTGGGATCGAAC ACGGTCCACGATGCAATCCCCAACCCCATTGAAGCAATGCCGTCGGTACGGAAGGAGGCA ACTCCGAAAACATTATGGTACGCAAGAGGGTCGATTGGAGTGTTATATAACACTCCAATC GATCTCGGGTTCGCCTTTACGCGTAAAATACTCATTGGCTTGAACGAAATGTCGACAATT CCGAAATGGAACACGGGACAATGGCGACGGATGCGCGTGTGTTAGCACCAGATGACATCT TGAATTCGGTTGGGTTGTCTTCTGTGCATGCGCACCCCACAGCATAAAAACTAACCCTGT ACGGTTCTCGCATAACCTCTGTAGCACGCGTTGCACCAGCCGCCCCCAGCCTAAGTATAC ATGCGACCCCGGAGTCCCGCGACGAACCGTAAGCGTGGTATTCAGCAATAACACCCCCTG CCTTGCCCAACTCTCCAGGCATCCGTGAGTGGGCGGAGTCATATTTGGGTATGATTCCAT GAGGGCCGCAAAAATATTTTTAAGACTAGACGGTGGTGTTATGCCACGTTTTACACTAAA CGCTAGCCCATGTGCATGTCCCGCGGTAGGGTATGGATCTTGACCAATAATTACAACGCG AATGCTCTGGGGTCCGCAAAATCGCGTCCATGCAAAAATATCGCCTGTAGATGGAAGTAT TTCTTCCCCTGAATTTAAAAGACGATTGTATTCTAAAAAAATACCTTTCGCGTACGGCTC TTTAAGTTCGTCCGACAACAGGTCATACCACTCAGGGGAAATGTTAAACTTGCTGAAAAC TTCAACCGAATCCAGTTGCGAAGAGACGGGGGTGAACGTTTCCGTGTCGTAATGATGTGA CATGTTATTTAACTTGAAGGTTGGGGGGTCTAGCTTAACCCCCAAAGGCAGCCCGCGGGG TCGCTTGCGGGTTTTTTTGGTAACCGGATGGGCCAAAACATAAATGTCCTTTGAATCCGA TAGTTTCATTTCATTGGCATACGCGTTGGAACAAACGGTCGGCTCCCCAGACACATCCAT TTTCCGGGATATTTGTGGAAGATGGAGTAGAGTCTACCCATACACCGGAAAGGGCATCCA ACAAAGCATCGCGTATGTCCCCGCTTTTATGTTCTTCACCAACAGATTGTGCCAGCCCCT TTAAGGTGACGTATGGATTTGTCCAGTACGCCATTTGTTTGTCTTTAAACCAAAGTATAA CTTCCGGTACTGGACATTTTGTCTTAACCACGATTCCCGATAGCGCCTCGCTGAGGTTTG ATACAGGGGGTGCCGCATAGTCCCACGCCTCATATACCGATGACACGCACGGTTCCGTTA TAATCAAACTCACATCCGATAGCGGTTTGGCTCCAAAAAACAACGGAGTGTCGTCTTGGA GATGAAGACAATACGCGATTGTGATAGTTTTTAAAAAAACTATCTGCAGTAACCATTTAT GTGATGCCATGACGCTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNTTCCTAAAAAGGGCGATCTTAATATGTCAAACGT CACGGCGTGCCGACAAAGCGAATTTCCATGCAAGATTTGGATGTAGTATTTATACACCCA ATCACATGTCACGTATTAAGCTTTACAGTCCCCCGTTATCTGATATAATCACTTTTCTTA ACACGTCATCGGGAAAACAGATGTTTATATTATACCTCTCGCGGTCATTTATGGCAAATA CTTAGACCGTTTTCAAGCGGACTGAAAACGCTCAAATTGCCTTTTGGAGGCCTGCCCAAC GGCCATTATCCCTTGGATCTGAGATTGATTTGCGGTAACGTTTGCCAANNNNNNNNNNNN NNNNNNNNNNNNACTGAAAACGCTCAAATTGCCTTTTGGAGGCCTGCCCAACGGCCATTA TCCCTTGGATCTGAGATTGATTTGCGGTAACGTTTGCCAAACCCACGCATTTCAGTTTAA ATATTTCTAAGCATTCTTAGTGCGTACTTGGCAGCGTGCTTAAAATATCAACCAATATCC ATTATGCTACACGTTTCCTTCTATCCGTTTCAATCCATTAAAAGTCCATTAACAAAAATG ATGCATCATACCTAATTCACCTAAAAACCTGACTCATTGCAGCAGCGTTTCCTCCTTGCA GACTATCCAGTTGGCANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGTTATGTT TATTGTATTTGCAGAGCAGGATGCCCCGGTTACTCCGAGACCGGATTGCGGGCATTCCGA ATCGTGTACGGACTTACCAGGGGGCAGTATTTACACCTTGGGTTCCAGATATACCAACCC TTACGACCAATAGCAACACTCAGGTATTTTTAAAATGCACGTTTAATGATCATAATTTAC ATACAGTTGGTAATAAAGCAGACTGTGGATGTTTAAGGCATTTCCTTCCCCCTCCCAACA AACTAGGACTTCTTCATCTTGTTTGGAATACCTTTACCCGCTTTACCGGCAGAGCTTTTT TTGGTAAGGTGTTTCAGTGAACCTGATGTTGATCCGGAGGTGGAGGGGGTATTGGACTCC CCCTGTGGAGAGGCAACTTTGCGGGTTTTACTTCCCTTACATGCCGAATCAGACTCAGAT GTCAGGTCTATTGTTAAGCATCGTTTAACGTCTCTGCCGGTATGAAATAAACGGCGCTTA GCACCCCTTGCGCTTCCCGGTTTAATCCCCGGTAACACAGAAAAAAGCCTGACTTTTTGG GGTGTATTTACCAATCGGGTATCCCTTTCATCGCCACGAGAGGTCTCCCCGGTTGAGGTG GTTTCTGGTCTTACAATTGGACCTGTAATTAGTTGGATGGCTGTATCTTTCCAGGTCCAG GTTTGCATGGTTAGGCGGGTTGGATCGGTACATCGATCCAACAAGAATAACATGTTTGTT ACAAACGGTCCTGTTGAATCATGCAAAAGACAACGCAGGGATGTTTTTAATCCCGCCTCA TCACGCCCGTAAATACCTATATAGTTTAATATCAACATTTTTGTAGGCTCTACAATTTCG GGTTGATACAGTTCCGCAAGTTGATCATCAAGCCATCCGAGTAAAGGTTGCATGTAACAC GGGAATCTCGCGTTTCCCTCTGTTCCTCTATCCGTGGCTCGAAAAGGCAGTCTGTCCATG GTTCGTGGGTCTTGATTAATTCCCACAGATACTGGACGATCACGGTAGTCCTGCCCCCCG GTCCGGGGTTGCTGTGCAGATTCAATCGAGCCATACACCACCGGGGTCGCCGATCGAACA GCAGGTTGGTCTTTAAAAAATACCTTCCGTAAAAATGATGCGGTAGAGCATGTTTTGGTT ACACCAGGGCTCGAGTCTCGGGTCGGTGGTTGTATAGAATCCTGTTGAGAGTCACTTGGT GACTCTGCTGTGGGCTCTCTAGCCGACGATTGAAGGGGCCCAGGGTTTGGTGATTGAATG GGCTCCCGACTCGATCTTGATGTTGGCTGTTGGATGGACTCCCGACTCGGTCCTGGGCTT GGTGGCAGAAGATCTATGACATCTCCCGGTAGGATGTCGATGGAATCTTCAAATGACGGC TCAGAAAAACCATCGTCGTCGGATGGGTGCACTTCATATTCCTTGTAACTTGTATCACTT ACGATCTTATGCAGGATGGATTGCACTGGACACCGGCAGAGAGGACACTGGACGCTGGTG GAGGTCCATGCCCGAATACAAACAAAGCAGAAGTCGTGCAAACACGGCATGGTTTTTCCG AGATCGGAAACGGTGCTCATGCATATGGTGCAGGTATTATCCGAAGCGTCGGAGGTGCCG CTACCGCCCGCTAATATGGTATCCATGGTAACAACTGGCTGTATTCTAATGTCCGGGCAT CCAAACACGTAGCAGAACTGCCATGCGTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN 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NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNGTTTTTGGTTCATTAACACTATCAACATAAGTCGGGGTATACAAGTATAATG AACGACGTTGATGCAACAGACACCTTTGTTGGACAAGGAAAGTTCCGTGGCGCCATCTCA ACATCACCGTCACATATTATGCAAACATGTGGGTTTATACAACAGATGTTTCCAGTTGAA ATGTCGCCCGGCATAGAATCTGAGGATGATCCCAATTATGACGTTAACATGGATATACAG TCTTTTAATATATTTGATGGTGTCCACGAAACTGAAGCCGAAGCCTCTGTGGCATTGTGT GCAGAAGCACGCGTTGGAATTAATAAAGCGGGATTTGTAATATTAAAAACGTTTACACCA GGGGCGGAAGGTTTTGCGTTTGCGTGTATGGACAGTAAAACATGTGAACATGTGGTCATT AAAGCGGGTCAACGTCAAGGAACGGCCACCGAGGCAACCGTGTTAAGAGCGTTAACCCAC CCATCCGTTATACAGCTTAAAGGAACGTTTACGTATAACAAAATGACATGTCTTATATTA CCACGTTACCGAACAGATTTATACTGCTATCTAGCTGCAAAGCGCAACCTCCCCATATGT GACATTTTAGCAATTCAGCGATCTGTATTACGCGCGTTACAGTATCTTCATAATAACAGT ATTATTCACCGTGATATAAAATCTGAAAATATATTTATTAACCACCCAGGTGATGTTTGT GTGGGAGACTTTGGAGCAGCGTGTTTCCCCGTGGATATTAATGCCAACAGGTATTATGGC TGGGCTGGAACAATCGCCACAAACTCTCCTGAGTTATTGGCTAGAGATCCATATGGACCT GCCGTGGACATATGGAGTGCCGGGATTGTATTATTTGAAATGGCTACAGGACAGAACTCG TTATTTGAACGAGACGGTTTAGATGGCAATTGTGACAGTGAGCGTCAAATTAAACTTATT ATACGACGATCTGGAACTCATCCCAATGAATTTCCCATTAACCCTACATCAAATCTTCGT CGACAATACATTGGTTTGGCAAAACGGTCTTCTCGAAAACCCGGATCCAGGCCATTGTGG ACAAATCTATATGAGTTGCCAATTGATTTGGAGTATTTGATATGTAAGATGTTATCGTTT GACGCACGTCATCGACCATCGGCAGAGGTGTTGCTTAACCACTCTGTTTTCCAAACTCTT CCCGATCCATATCCAAATCCAATGGAAGTTGGAGATTAAAATTCATTAAGCCTGTTAATA AAATATTGTATAAATTGTGTTTATAACGTATAACCCGTTAAGGCAAATAGGGTACAAACG CGCAATGTTTTGAAATACTAATATAAATAACATAACCAATAGAAACTTAATACAGAGTCA CGCCCCATTACAACAAGGATAAAACACGGGATCATTTTCTTAACATTGTAGTAGCGCTGA AAAGCGTCCCCTCCCCCGGCTCACAGAGCTGCTCTTCGGTGTAGTTGGGTATACTGGTGC GCCTCATTTAATCGCGATGTTTTTAATCCAATGTTTGATATCGGCCGTTATATTTTACAT ACAAGTGACCAACGCTTTGATCTTCAAGGGCGACCACGTGAGCTTGCAAGTTAACAGCAG TCTCACGTCTATCCTTATTCCCATGCAAAATGATAATTATACAGAGATAAAAGGACAGCT TGTCTTTATTGGAGAGCAACTACCTACCGGGACAAACTATAGCGGAACACTGGAACTGTT ATACGCGGATACGGTGGCGTTTTGTTTCCGGTCAGTACAAGTAATAAGATACGACGGATG TCCCCGGATTAGAACGAGCGCTTTTATTTCGTGTAGGTACAAACATTCGTGGCATTATGG TAACTCAACGGATCGGATATCAACAGAGCCGGATGCTGGTGTAATGTTGAAAATTACCAA ACCGGGAATAAATGATGCTGGTGTGTATGTACTTCTTGTTCGGTTAGACCATAGCAGATC CACCGATGGTTTTATTCTTGGTGTAAATGTATATACAGCGGGCTCGCATCACAACATTCA CGGGGTTATCTACACTTCTCCGTCTCTACAGAATGGATATTCTACAAGAGCCCTTTTTCA ACAAGCTCGTTTGTGTGATTTACCCGCGACACCCAAAGGGTCCGGTACCTCCCTGTTTCA ACATATGCTTGATCTTCGTGCCGGTAAATCGTTAGAGGATAACCCTTGGTTACATGAGGA CGTTGTTACGACAGAAACTAAGTCCGTTGTTAAGGAGGGGATAGAAAATCACGTATATCC AACGGATATGTCCACGTTACCCGAAAAGTCCCTTAATGATCCTCCAGAAAATCTACTTAT AATTATTCCTATAGTAGCGTCTGTCATGATCCTCACCGCCATGGTTATTGTTATTGTAAT AAGCGTTAAGCGACGTAGAATTAAAAAACATCCAATTTATCGCCCAAATACAAAAACAAG AAGGGGCATACAAAATGCGACACCAGAATCCGATGTGATGTTGGAGGCCGCCATTGCACA ACTAGCAACGATTCGCGAAGAATCCCCCCCACATTCCGTTGTAAACCCGTTTGTTAAATA GAACTAATTATCCCGGATTTTATATTAAATAAACTATATGCGTTTTATTTAGCGTTTTGA TTACGCGTTGTGATATGAGGGGAAGGATTAAGAATCTCCTAACTATAAGTTAACACGCCC ACATTTGGGCGGGGATGTTTTATGAAGCCTTAAAGGCCGAGCTGGTATACACGAGAGCAG TCCATGGTTTTAGACCTCGGGCGAATTGCGTGGTTTTAAGTGACTATATTCCGAGGGTCG CCTGTAATATGGGGACAGTTAATAAACCTGTGGTGGGGGTATTGATGGGGTTCGGAATTA TCACGGGAACGTTGCGTATAACGAATCCGGTCAGAGCATCCGTCTTGCGATACGATGATT TTCACATCGATGAAGACAAACTGGATACAAACTCCGTATATGAGCCTTACTACCATTCAG ATCATGCGGAGTCTTCATGGGTAAATCGGGGAGAGTCTTCGCGAAAAGCGTACGATCATA ACTCACCTTATATATGGCCACGTAATGATTATGATGGATTTTTAGAGAACGCACACGAAC ACCATGGGGTGTATAATCAGGGCCGTGGTATCGATAGCGGGGAACGGTTAATGCAACCCA CACAAATGTCTGCACAGGAGGATCTTGGGGACGATACGGGCATCCACGTTATCCCTACGT TAAACGGCGATGACAGACATAAAATTGTAAATGTGGACCAACGTCAATACGGTGACGTGT TTAAAGGAGATCTTAATCCAAAACCCCAAGGCCAAAGACTCATTGAGGTGTCAGTGGAAG AAAATCACCCGTTTACTTTACGCGCACCGATTCAGCGGATTTATGGAGTCCGGTACACCG AGACTTGGAGCTTTTTGCCGTCATTAACCTGTACGGGAGACGCAGCGCCCGCCATCCAGC ATATATGCTTAAAACATACAACATGCTTTCAAGACGTGGTGGTGGATGTGGATTGCGCGG AAAATACTAAAGAGGATCAGTTGGCCGAAATCAGTTACCGTTTTCAAGGTAAGAAGGAAG CGGACCAACCGTGGATTGTTGTAAACACGAGCACACTGTTTGATGAACTCGAATTAGACC CCCCCGAGATTGAACCGGGTGTCTTGAAAGTACTTCGGACAGAAAAACAATACTTGGGTG TGTACATTTGGAACATGCGCGGCTCCGATGGTACGTCTACCTACGCCACGTTTTTGGTCA CCTGGAAAGGGGATGAAAAAACAAGAAACCCTACGCCCGCAGTAACTCCTCAACCAAGAG GGGCTGAGTTTCATATGTGGAATTACCACTCGCATGTATTTTCAGTTGGGGATACGTTTA GCTTGGCAATGCATCTTCAGTATAAGATACATGAAGCGCCATTTGATTTGCTGTTAGAGT GGTTGTATGTCCCCATCGATCCTACATGTCAACCAATGCGGTTATATTCTACGTGTTTGT ATCATCCCAACGCACCCCAATGCCTCTCTCATATGAATTCCGGTTGTACATTTACCTCGC CACATTTAGCCCAGCGTGTTGCAAGCACAGTGTATCAAAATTGTGAACATGCAGATAACT ACACCGCATATTGTCTGGGAATATCTCATATGGAGCCTAGCTTTGGTCTAATCTTACACG ACGGGGGCACCACGTTAAAGTTTGTAGATACACCCGAGAGTTTGTCGGGATTATACGTTT TTGTGGTGTATTTTAACGGGCATGTTGAAGCCGTAGCATACACTGTTGTATCCACAGTAG ATCATTTTGTAAACGCAATTGAAGAGCGTGGATTTCCGCCAACGGCCGGTCAGCCACCGG CGACTACTAAACCCAAGGAAATTACCCCCGTAAACCCCGGAACGTCACCACTTCTACGAT ATGCCGCATGGACCGGAGGGCTTGCAGCAGTAGTACTTTTATGTCTCGTAATATTTTTAA TCTGTACGGCTAAACGAATGAGGGTTAAAGCCTATAGGGTAGACAAGTCCCCGTATAACC AAAGCATGTATTACGCTGGCCTTCCAGTGGACGATTTCGAGGACTCGGAATCTACGGATA CGGAAGAAGAGTTTGGTAACGCGATTGGAGGGAGTCACGGGGGTTCGAGTTACACGGTGT ATATAGATAAGACCCGGTGATCACCGAACCGGGGCAACGTCGAGCGTGTAAATTTAAATA AAAAACAGTACGCTTTTATCCGGTGTATGTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN 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CGCTGCGACGGAGGTGCGCCTGGATGCGGCAGATCCCAGACCCGGAGGATGTGAGGCTTC TGATCATCTACGATCCGTTGCCCGGAGAAGACATCAACGGCCCCCTCGAGAGCACCCTCG CGACAGATCCGGGACCGTCATGGAGTCCATCCCGAGGGGGACTGTCTGTGGTCCTGGCAG CCCTGAGTAACCGGTTGTGCCTGCCGAGCACTCATGCCTGGGCCGGGAACTGGACCGGCC CGCCGGACGTGTCCGCTTTGAACGCCCGGGGCGTTTTATTACTGTCGACCCGAGACCTGG CCTTTGCCGGGGCCGTCGAGTATCTAGGCTCGCGGTTGGCCTCTGCCCGGCGCCGGTTGC TGGTGTTGGACGCGGTGGCCCTCGAGAGGTGGCCCAGGGATGGACCCGCTTTGTCTCAGT ATCACGTGTACGTCCGGGCCCCGGCGCGACCGGACGCCCAGGCCGTCGTCCGATGGCCAG ACTCGGCGGTCACAGAAGGACTCGCCCGGGCCGTGTTTGCATCGTCGCGCACCTTTGGGC CAGCGAGTTTTGCTCGTATCGAGACTGCGTTTGCCAACCTGTACCCGGGCGAACAACCCC TGTGTTTGTGCCGCGGTGGGAACGTCGCATACACCGTGTGTACCCGCGCGGGCCCCAAGA CCCGCGTCCCCCTGTCGCCCCGTGAATACCGGCAGTACGTGCTGCCGGGTTTTGACGGTT GCAAGGACCTCGCGCGACAGTCTCGGGGTCTGGGGCTCGGGGCAGCCGACTTTGTGGACG AGGCGGCACATAGCCACCGCGCAGCAAACCGATGGGGCCTGGGTGCCGCGCTTCGACCCG TCTTCCTTCCCGAGGGACGGAGACCGGGGGCCGCCGGGCCGGAGGCCGGCGACGTACCCA CCTGGGCGAGGGTGTTTTGCCGCCACGCCCTGCTGGAACCCGACCCTGCCGCAG ================================================ FILE: tests/input/TestOrderAndOrient/expected.hiv.big_indel.alternates.fasta ================================================ >gi|55139330|gb|AY772699.1|:1408-1768_option_0 GGCACATAGCCAGAAATTGCAGAGCCCCTAGGAAAAAGGGCTGTTGGAAATGTGGAAAGG AAGGACACCAAATGAAAGATTGTACTGAGAGGCAGGCAAATTTTTTAGGGAAAATTTGGC CTTCCCACAAGGGGAGGCCAGGAAACTTCCTTCAGAACAGACCAGAACCAACAGCCCCAC CAGCAGAGAGCTTCAGGTTCGAGGAGACAACCTCCGCTCCGAAGCAGGAGCTGAAGGAGA GGGAACCCTTAACTTCCCTCAAATCACTCTTTGGCAGCGACCCCTTGTCTCAATAAAGGT AGGGGGTCAGATAAAGGAGGCTCTCTTAGACACAGGAGCAGATGATACAGTATTAGAAGA A >gi|55139330|gb|AY772699.1|:1408-1768_option_1 GGCACATAGCCAGAAATTGCAGAGCCCCTAGGAAAAAGGGCTGTTGGAAATGTGGAAAGG AAGGACACCAAATGAAAGATTGTACTGAGAGGCAGGCAAATTTTTTAGGGAAAATTTGGC CTTCCCACAAGGGGAGGCCAGGAAACTTCCTTCAGAACAGACCAGAACCAACAGCCCCGA ATTTCCTTCAGAGCAGACCAGAGCCAACAGCACCACCAGCAGAGAGCTTCAGGTTCGAGG AGACAACCTCCGCTCCGAAGCAGGAGCTGAAGGAGAGGGAACCCTTAACTTCCCTCAAAT CACTCTTTGGCAGCGACCCCTTGTCTCAATAAAGGTAGGGGGTCAGATAAAGGAGGCTCT CTTAGACACAGGAGCAGATGATACAGTATTAGAAGAA ================================================ FILE: tests/input/TestOrderAndOrient/expected.hiv.big_indel.fasta ================================================ >gi|55139330|gb|AY772699.1|_contigs_ordered_and_oriented GGCCCTAAAAGAATTGTTAAATGTTTCAATTGTGGCAAGGAAGGGCACATAGCCAGAAAT TGCAGAGCCCCTAGGAAAAAGGGCTGTTGGAAATGTGGAAAGGAAGGACACCAAATGAAA GATTGTACTGAGAGGCAGGCAAATTTTTTAGGGAAAATTTGGCCTTCCCACAAGGGGAGG CCAGGAAACTTCCTTCAGAACAGACCAGAACCAACAGCCCCACCAGCAGAGAGCTTCAGG TTCGAGGAGACAACCTCCGCTCCGAAGCAGGAGCTGAAGGAGAGGGAACCCTTAACTTCC CTCAAATCACTCTTTGGCAGCGACCCCTTGTCTCAATAAAGGTAGGGGGTCAGATAAAGG AGGCTCTCTTAGACACAGGAGCAGATGATACAGTATTAGAAGAAATAAATTTGCCAGGAA AATGGAAACCAAAAATGATAGGAGGAATT ================================================ FILE: tests/input/TestOrderAndOrient/expected.hiv.wrapped.fasta ================================================ >gi|55139330|gb|AY772699.1|_contigs_ordered_and_oriented AGGTTCCAGGAGACAACCCCCACTCCGAGGCAGGAACCGAAGGACAGGGAACCCTTAACT TCCCTCAAATCACTCTTTGGCAACGACCCCTTGTCTCAATAAAAGTAGGGGGCCAGGTAA AGGAGGCTCTCTTAGACACAGGAGCAGATGACACAGTATTAGAAGAAATAAATTTGCCAG GAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTTTTATCAAAGTAAGACAATATG ATCAAATACATATAGAAATTTGTGGGAAAAAAGCTATAGGCTCAGTATTAGTAGGGCCCA CACCTGTCAACATAATTGGAAGAAATATGTTGACTCAGCTTGGATGCACATTAAATTTTC CAATTAGTCCTATTGAAACTATACCAGTAAAACTGAAGCCAGGAATGGATGGGCCAAGGG TTAAACAATGGCCATTAACAGAAGAAAAAATAAAAGCATTAACAGCAATTTGTAAAGAAA TGGAGGAGGAAGGAAAAATTACAAAAATTGGGCCTGAAAATCCATATAACACTCCAATAT TTGCCATAAAAAAGAAGGACAGTACTAAGTGGAGAAAATTAGTAGATTTCAGGGAACTCA ATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAATACCTCACCCAGCAGGGTTAA AAAAGAAAAAATCAGTGACAGTATTGGATGTGGGGGATGCATATTTTTCAGTTCCTTTAG ATGAAAGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCAG GGATTAGATATCAATATAATGTGCTCCCACAGGGATGGAAAGGATCACCAGCAATATTCC AGTGTAGCATGACAAAAATCCTAGCGCCCTTTAGGGCAAAGAATCCAGACATAGTCATCT ATCAATATATGGATGACTTGTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAA AAATAGAGGAGCTAAGAGAACATCTATTGAAGTGGGGATTTACCACACCAGACAAGAAAC ATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACTCCATCCTGACAAATGGACAG TACAGCCTATACAGCTGCCAGAAAAGGAGAGCTGGACTGTCAATGATATACAGAAGCTAG TGGGAAAATTAAACTGGGCAAGCCAGATATACCCAGGGATTAAAGTAAAACAACTTTGTA AACTCCTTAGGGGGGTCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAAT TAGAATTGGCAGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACC CATCAAAGGAATTAACAGCTGAAATACAGAAACAGGGAATGAGCCAGTGGACATATCAAA TTTACCAAGAACCACATAAAAATCTGAAAACAGGAAAGTATGCAAGAATGAGGACTGCCC ACACTAATGATGTAAAACAGTTAGCAGAGGTAGTGCAAAAAATAGCCTTGGAGAGCATAG TAATATGGGGAAAGACTCCTAAATTTAGACTACCCATCCAGAAAGAAACATGGGACATAT GGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTGAAATTATGGTACCAGCTAGAAAAAGAACCCATAGCAGAAGCAGAAACTTTCT ATGTAGATGGAGCAGCTAATAGGGAAACTAAAAAGGGAAAAGCAGGGTATGTTACTGACA GAGGAAGACAGAAGGTTATTTCTCTAAATGAGACAACAAATCAGAAGACTGAATTACAAG CAATTCAGCTAGCTTTGCAAGATTCAGGACCAGAAGTAAACATAGTAACAGACTCACAGT ATGCATTAGGAATCATTCAAGCACAACCAGATAAGAGTGAATCAGAGTTAGTAAACCAAA TAATAGAAGAATTAATAAAAAAGGAAAGGGTCTACTTGGCATGGGTACCAGCACACAAAG GAATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGCAGTGGAATCAGGAAAGTGCTGT TTCTGGATGGAATAGATAAGGCTCAAGAAGATCATGAAAGGTACCACAGTAATTGGAGAG CAATGGCTAATGAATTTAATCTACCGCCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTG ATAAATGTCAGCTAAAAGGGGAAGCCATACATGGGCAAGTAGACTGTAGTCCAGGGATAT GGCAATTAGATTGTACACATTTAGAAGGAAAAGTCATCCTAGTAGCAGTCCATGTAGCCA GTGGATACATAGAGGCAGAGGTCATCCCAGCAGAAACAGGACAAGAAACAGCATACTTTC TATTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAATGGCCCTAATT TCACCAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGGGTCCAACAGGAATTTGGGA TTCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAA TCATAGGGCAGGTAAGAGAGCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTAT TCATTCACAATTTTAAAAGNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGAATGAATAC TAGACATAATATCATCAGACATACAAACTAAAGAATTACAAAAACAAATTATAAAAATTC AAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCCATTTGGAAAGGACCAGCCAAAC TACTCTGGAAAGGCGAAGGGGCAGTAGTAATACAAGATAACAGTGACATAAAGGTAGTAC CAAGGAGGAAAGCAAAAATCATTAGGGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAAGATCAGAACATGGAATAGCCTAGTAAAGCATCATATGTAT ATTACAAAGAAAACTGGCAGATGGTGTTACAGACATCATTATGAAAGCAGAAATCCAAGA GTAAGTTCAGAAGTACACATACCATTAGGGGAGGCTAGATTAGTGATAACAACATATTGG GGGTTGCAAACAGGAGAAAGAGCTTGGCATTTAGGTCATGGAGTCTCCATAGAATGGAGA TTGAAAGAATATAGCACACAAGTAGACCCTGACCTGGCAGACCAGCTAATTCATAAGCAT TATTTTGATTGTTTTGCAGATTCTGCCATAAGGAAAGCCATATTAGGACACATAGTTATT CCTAGGTGTGAATATCAAGCAGGACACAAGAAGGTAGGATCTCTACAATATTTGGCACTG GCAGCATTAGTAAAGCCAAAAAAGAGAAAGCCACCTCTGCCTAGTGTTAAAAAATTAGTA GAGGATCGATGGAACAACCCCCAGAAGACCAAGGGCCACAGAGGGAACCATACAATGAAT GGGCATTAGAAATTTTAGAGGAACTCAAGCAGGAAGCTGTCAGACATTTTCCGGGACCAT GGCTCCATAGTTTAGGACAATATATCTATGAGACCTATGGGGATACTTGGACAGGAGTTG AAGTGTTAATAAGAATACTGCAACAACTACTGTTTATTCATTTCAGAATTGGGTGCCAAC ATAGCAGAATAGGAATTATGCCACAAAGAAGAGCAAGAAATGGAGCCAGTAGATCCTAAC CTAGAGCCCTGGAACCATCCAGGAAGTCAGCCTAATACTCCTTGTAATAATTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGAAAAAAGGCTTAGGCATTTCCTAT GGCAGGAAGAAGCGGAGTCAGCGACGACGCACTCCTCCAAGCAGTGAGGATCATCAAAAT CTTATATCAAAGCAGTAAGTATATGTAATGTCAAATTTTCTAGAAGAAGTAGATTATAGA CTAGGAGTAGGAGCACTGATAATAGCACTAATCATAGCAATAGTAGTGTGGATTTTAGCA TATATAGAATATAGGAAATTGGTAAGACAAAGAAAAATAGACTGCTTAATTAAAAGAATT AGGGAAAGAGCAGAAGACAGTGGCAATGAGAGTGAGGGGGATACAGAGGAACTATCCACA ATGGTGGATATGGGGCATCTTAGGCTTTTGGATAATAATTAGTGGAGGGGTAGGAAACAT GTGGGTCACAGTCTATTATGGGGTACCTGTGTGGAGAGAAGCAAAAACTACTCTATTCTG TGCATCAGATGCTAAAGCATATGACAAGGAAGTGCATAATGTCTGGGCTACACATGCCTG TGTACCCACAGACCCCAACCCACAAGAACTAGTTTTGGGAAATATAACAGAGAATTTTAA CATGTGGAAAAATGACATGGTGGATCAGATGCATGAGGATATAATCAGTTTATGGGATGA AAGTCTAAAGCCCTGTGTAAAGTTGACCCCACTCTGTGTCACTTTAAATTGTACAAATGT CACCCAGACAGGTACAACTACTCAGGTCTACCAGACAGGTAATATTACCGACAAGGAGAA CATATTTAATTGCTCTTTCGAAACAACCACAGGAATAAGAGATAAGAAACAGAGTGTGTA TGCAACTTTTTATAAACAGGATCTAGTATCACGGAGTAATGGGAATTCTAATTATAGTGA ATCTATATTAATAAATTGCAATACCTCAACCATAACACAAGCTTGTCCAAAGGTCACTTT TGACCCAATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTCTAAAGTGTAATAA TAAGACATTCAATGGGACAGGACCATGCCAGAATGTTAGTACAGTACAATGTACACATGG AATTAAGCCAGTAGTATCAACCCAACTACTGTTAAATGGTAGCCTAGCAGAAGAAGACAT AATAATTAGGTCTGAGAATCTGACAGACAATACCAAAACAATAATAGTACACTTTAATGA ATCTGTAAACATTACGTGTACAAGAATTGCCAATAATACAAGAAGAAGTATAAGGATAGG ACCAGGACAATCATTCTATACACATGACATAATAGGAGACATAAGAAAGGCACATTGTAA CATTAATACAACAAAGTGGAACAACACTTTACAAAGGGTAAAGGAGAAATTAAGAGAACA CTTCTCTGATAAAAATATAACATTTGAACCATCCTCAGGAGGGGACCTAGAGGTGACAAC ACATAGTTTTAATTGTAGAGGGGAATTTTTCTATTGCAATACAACAAACCTGTTTAATGA AACAGAACTTAATAGAACAAAGACAAAAGAAAACATAACCATACTCCCATGCAGAATAAA ACAAATTATAAATATGTGGCAGAGGGTAGGACGAGCAATGTATGCCCCTCCCATAGCAGG AAACATAACATGTAACTCAAGTATCACAGGGCTACTATTAACACGTGATGGAGGGATTAA CAAAACAGAGCCCGACAACAACACAGAGATATTCAGACCTGGAGGAGGAAATATGAAGGA TAATTGGAGAAGTGAATTATATAAATATAAAGTAATAGAAATTAAGCCATTGGGAATAGC ACCCACTAATGCAAAAAGGAGAGTGGTGGAGAGAGAAAAAAGAGCAGTGGGAATGGGAGC CTTGATCCTTGGGTTCTTGGGAGCAGCAGGAAGCACTATGGGCGCAGCGTCAATAACGCT GACGGTACAAGCCAGACAACTGTTGTCTGGTATAGTGCAACAGCAGAGCAATCTGCTGAG AGCTATAGAGGCGCAACAGCATATGTTGCAACTCACGGTCTGGGGCATTAAACAGCTCCA GACAAGAGTCCTGGCTATAGAAAGATACCTACAGGATCAACGGCTCCTAGGACTTTGGGG CTGCTCTGGAAAACTCATCTGCACCACTACTGTGCCTTGGAACTCCAGTTGGAGTAATAA AACTTACAACGATATTTGGCATAACATGACCTGGATGCAGTGGGATAGAGAAATTAGTAA TTACTCAGACACAATATTTAGGTTGCTTGAAGTATCACAAAACCAGCAGGAGAAAAATGA ACAAGATTTATTGGCATTGGACAAGTGGAATGATCTATGGAATTGGTTTAACATAACACA ATGGCTGTGGTATATAAAAATATTCATCATGATAGTAGGAGGCTTGATAGGTTTGAGAAT AATTTTGTTTGTGCTTTCTATAGTAAATAGAGTTAGGCAGGGATACTCACCTTTGTCATT GCAGACCCTTACCCCAAACTCGAGGGAACTCGACAGGCTCAGAGGAATCGAAGAAGAAGG TGGAGAGCAAGGCAGAGACAGATCCATTCGATTAGTGAACGGATTCTTAGCGATTGCCTG GGACGATCTGAGGAGCCTGTGCCTTTTCAGCTACCACCAATTGAGAGACTTCATATTGAT TGCAGCGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGAGGGGGTG GGAAGCTCTTAAGTACCTGAAGAACCTTGTGCAATATTGGGGTGGGGAGCTTAAAAAGAG TGCTATTAGTCTGCTTGATACTATAGCAATAGTAGTAGCTGAAGGAACAGATAGGATTAT AGAAGTGCTACAAAGAATTTGGAGGGCTATCTGCAACACACCTAGAAGAATAAGACAGGG CTTTGAAGCAGCTTTGCTATAAGATGGGAAACAAGTGGTCAAAAAGCTGGCCTGCTGTAA GAGAAAGAATAAGAAGAACTGAGCCAGCAGCAGAAAGAGTAGGAGCAGCAGAGGGAGTGG GAGCAGCGTCTCGAGACTTAGAAAAGCATGGAGCACTTACAAGCAGCAACACAGCCCACA ACAATGAAGCTTGTGCCTGGCTGCAAGCACAGGAGGAAGATGAAGAAGTAGGCTTTCCAG TCAAACCTCAGGTACCTTTGAGACCAATGACTTATAAGGCAGCATTCGATCTCAGCTTCT TTTTAAAAGAAAAGGGGGGACTGGATGGGTTAATTTGGTCCAAGAAAAGGCAAGAGATCC TTGATCTGTGGGTCTATAACACACAAGGCTTCTTCCCTGATTGGCAAAACTACACACCAG GACCAGGGGTCAGACTTCCACTGACCTTTGGATGGTGCTTCAAGCTAGTACCAGTTGACC CAAGTGAAGTAGAAGAGGCCAACCAAGGAGAAAACAACTGCCTGCTACACCCTATGAGCC AGCATGGAATAGAGGATACAGAAAGAGAAGTACTAAAATGGAAGTTTGACAGCAGCCTAG CACGCAGACACCTGGCCCGTGAGAAACATCCGGAGTTTTACAAAGACTGCTGACACAGAA GGGACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGGGGAGTGGTCTGGGCGGGAC AAGGGAGTGGTCAACCCTCAGATGCTGCATATAAGCAGCTGCTTTTCGCCTGTACTGGGT CTCTCTAGGTAGACCAGATCTGAGCCTGAGAGCTCTCTGGATGCCTGGGGAACCCACTGC TTAAGCCTCAATA ================================================ FILE: tests/input/TestOrderAndOrient/expected.influenza.fasta ================================================ >gi|8486138|ref|NC_002023.1|_contigs_ordered_and_oriented TATATTCAATATGGAGAGAATAAAAGAACTAAGAGATTTAATGTCACAATCCCGCACTCG CGAGATACTAACCAAAACCACTGTTGACCACATGGCCATAATCAAAAAGTACACATCGGG AAGGCAAGAGAAGAACCCCGCACTCAGGATGAAATGGATGATGGCAATGAAATATCCAAT CACAGCTGACAAGCGAATAATGGAAATGATCCCTGAAAGGAATGAACAAGGGCAAACCCT CTGGAGCAAAACAAACGATGCCGGATCAGACCGAGTGATGGTATCACCCCTGGCTGTAAC ATGGTGGAATAGGAATGGACCAACAACAAGTACAGTTCACTATCCCAAGGTATATAAAAC TTATTTCGAAAAGGTTGAAAGGTTGAAACACGGGACCTTTGGCCCTGTACACTTCAGAAA CCAAGTTAAGATAAGACGGAGGGTCGACATAAACCCGGGCCATGCTGACCTCAGTGCCAA AGAGGCGCAGGATGTAATCATGGAAGTTGTCTTTCCAAATGAAGTGGGAGCGAGAATACT GACGTCGGAATCACAATTGACGATAACAAAGGAGAAGAAAGAAGAACTCCAGGACTGCAA AATCGCCCCTCTGATGGTTGCATACATGCTAGAAAGAGAGTTGGTTCGCAAGACAAGGTT TCTCCCAGTGGCTGGTGGAACAAGCAGTGTCTACATTGAGGTGCTGCATTTGACCCAGGG GACATGCTGGGAGCAGATGTATACTCCGGGAGGAGAAGTGAGAAACGATGATGTAGACCA GAGCTTGATTATCGCTGCCAGGAACATAGTGAGAAGAGCAACAGTGTCAGCAGACCCACT AGCATCTCTATTGGAGATGTGCCACAGCACACAAATTGGGGGAATAAGGATGGTAGACAT TCTCCGGCAAAATCCAACAGAGGAACAAGCCGTGGACATATGCAAGGCAGCAATGGGCTT GAGGATTAGCTCATCTTTCAGTTTTGGTGGATTCACTTTTAAAAGAACGAGTGGATCGTC AGTCAAAAAGGAAGAAGAAGTGCTTACGGGCAACCTTCAAACATTGAAAATAAGAGTGCA TGAGGGGTATGAAGAGTTCACAATGGTTGGAAGAAGAGCAACGGCCATTCTCAGAAAGGC AACCAGAAGGCTGATCCAGTTAATAGTAAGTGGAAGAGACGAGCAGTCAATTGCTGAAGC AATAATTGTGGCCATGGTATTCTCACAAGAGGACTGCATGATTAAGGCAGTTCGAGGTGA TCTGAATTTTGTCAATAGGGCGAACCAGCGGCTGAATCCAATGCATCAGCTCTTGAGACA CTTCCAAAAGGATGCAAAAGTGCTTTTCCAAAATTGGGGAATTGAACCCATTGACAATGT GATGGGAATGATCGGGATATTGCCTGACATGACCCCAAGTACTGAGATGTCACTGAGGGG AATAAGAATCAGTAAGATGGGGGTAGATGAATACTCCAGCACAGAGCGGGTAGTAGTAAG CATCGACCGATTTTTAAGAGTTCGAGACCAACGAGGGAACGTGCTATTGTCACCCGAAGA AGTCAGCGAGGCACAAGGAACAGAGAAACTGACAATCACTTATTCGTCATCAATGATGTG GGAGATTAATGGTCCTGAGTCGGTGTTGGTCAATACTTATCAGTGGATAATCAGAAACTG GGAAACTGTAAAAATTCAATGGTCACAGGATCCCACAATGTTGTATAATAAGATGGAATT CGAGCCATTTCAGTCTCTGGTCCCTAAGGCAGCCAGAGGTCAATACAGTGGGTTCGTGAG GACACTGTTCCAGCAGATGCGAGATGTGCTTGGAACATTCGACACTGTTCAGATAATAAA ACTCCTCCCCTTTGCTGCTGCCCCACCGGAACAAAGTAGGATGCAGTTCTCCTCCCTGAC TGTGAATGTGAGAGGATCAGGAATGAGAATACTGGTAAGAGGCAATTCCCCAGTGTTCAA TTACAACAAGGCCACCAAGAGGCTCACAGTTCTCGGGAAAGATGCAGGTGCATTGACCGA AGATCCAGATGAAGGCACAGCTGGAGTGGAGTCTGCTGTTTTAAGAGGATTCCTCATTTT GGGCAAAGAAGACAAGAGATATGGCCCAGCATTGAGCATCAATGAGCTGAGCAATCTTGC AAAGGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTGGTGTTGGTGATGAAACG GAAACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACCAAAAGAATTCGGATGGC CATCAATTAGTGTCGAATTGTTTA >gi|8486134|ref|NC_002021.1|_contigs_ordered_and_oriented AACCATTTGAATGGATGTCAATCCGACTTTACTTTTCTTGAAAGTTCCAGCGCAAAATGC CATAAGCACCACATTCCCGTACACTGGAGACCCTCCATACAGCCATGGAACAGGAACAGG ATACACCATGGACACGGTCAACAGAACACATCAATATTCAGAAAAGGGGAAATGGACAAC AAACTCAGAGACTGGAGCACCCCAACTTAACCCAATTGATGGACCACTGCCCGAGGACAA TGAGCCAAGTGGATATGCACAAACGGACTGTGTCCTTGAAGCAATGGCTTTCCTTGAAGA ATCCCACCCAGGAATCTTTGAAAACTCGTGTCTTGAGACGATGGAAGTTGTTCAACAAAC AAGAGTAGACAAATTGACCCAAGGCCGTCAGACCTATGATTGGACATTAAACAGGAATCA ACCGGCTGCAACTGCATTAGCTAATACTATAGAGGTATTCAGATCGAACGGTCTGACAGC TAATGAATCAGGAAGGCTAATAGATTTTCTCAAGGATGTGATGGAATCAATGGATAAAGA GGAAATGGAAATAACAACGCATTTCCAAAGGAAAAGAAGAGTAAGGGACAACATGACCAA GAAAATGGTCACACAAAGGACAATAGGAAAGAAGAAGCAGAGGCTAAATAAAAAGAGCTA TCTAATAAGAGCCTTGACACTGAACACAATGACAAAAGACGCCGAAAGAGGCAAATTAAA GAGAAGAGCAATTGCAACACCCGGAATGCAAATCAGAGGATTTGTATACTTTGTTGAAAC ATTAGCAAGGAGCATTTGTGAGAAGCTTGAACAATCTGGACTCCCAGTTGGAGGCAATGA AAAGAAGGCTAAACTGGCAAATGTTGTGAGGAAAATGATGACTAATTCACAAGATACAGA ACTCTCCTTCACAATCACTGGAGACAACACCAAATGGAATGAAAACCAGAACCCTAGGAT GTTTCTGGCAATGATAACATATATAACAAGAAACCAACCTGAATGGTTTAGGAATGTCTT GAGCATTGCACCCATAATGTTCTCAAACAAAATGGCAAGGCTAGGGAAAGGATATATGTT CGAAAGTAAGAGCATGAAGCTTCGAACACAAATACCGGCAGAAATGCTAGCAAGTATTGA TCTGAAATATTTTAATGAGTCGACAAAAAAGAAAATTGAAAAGATAAGACCTCTTCTAAT AGATGGTACAGCCTCATTGAGTCCTGGAATGATGATGGGCATGTTCAACATGCTAAGTAC AGTTTTGGGAGTTTCGATTTTAAATCTAGGACAAAAGAGGTACACCAAAACAACATACTG GTGGGACGGGCTCCAATCCTCTGATGACTTTGCTCTCATAGTGAATGCCCCGAATCATGA GGGGATACAAGCAGGAGTAGACAGATTCTATAGAACCTGCAAGCTGGTTGGAATCAACAT GAGCAAAAAGAAGTCCTACATAAACAGGACAGGAACATTTGAATTCACAAGTTTTTTCTA TCGCTATGGATTTGTAGCCAATTTCAGTATGGAGTTGCCCAGCTTTGGAGTGTCTGGGAT TAATGAATCTGCAGACATGAGCATTGGAGTAACAGTGATAAAGAACAACATGATAAACAA TGATCTTGGACCAGCAACAGCTCAAATGGCTCTTCAGCTGTTCATCAAGGATTACAGATA CACGTATCGGTGTCACAGAGGAGACACACAAATTCAGACAAGGAGGTCATTCGAGCTGAA GAAATTGTGGGAACAAACCCGCTCAAAAGCGGGACTGCTGGTCTCAGACGGAGGACCAAA CCTATACAATATCCGGAATCTACACATTCCGGAAGTCTGCTTAAAATGGGAGCTGATGGA CGAAGACTATCAGGGAAGGCTTTGCAACCCCCTGAATCCGTTTGTCAGCCACAAGGAGAT AGAGTCTGTAAACAATGCTGTGGTGATGCCAGCTCATGGCCCAGCCAAGAGCATGGAGTA TGATGCTGTGGCTACTACACACTCCTGGATACCTAAGAGGAATCGCTCTATCCTCAATAC AAGCCAAAGGGGAATCCTTGAGGATGAACAGATGTATCAAAAGTGCTGCAATCTATTCGA GAAATTCTTCCCTAGCAGCTCATACAGGAGACCGGTTGGAATTTCCAGCATGGTAGAGGC CATGGTTTCTAGGGCCCGAATCGATGCGCGAATTGACTTCGAATCTGGACGGATCAAGAA AGAGGAGTTTGCTGAGATCATGAAGATCTGTTCCACCATTGAAGAACTCAGACGGCAGAA ATAGTGAATTTTGCTTGTCCTTCATGAAAAAATGCCTTG >gi|8486136|ref|NC_002022.1|_contigs_ordered_and_oriented CAAAATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAA GGCAATGAAAGAATATGGGGAAGATCCGAAAATTGAAACTAACAAGTTTGCTGCAATATG CACCCACTTAGAAGTCTGTTTCATGTATTCGGATTTTCATTTCATCGACGAACGGGGTGA ATCAATAATTGTAGAATCTGGTGACCCAAATGCATTACTGAAGCACCGATTCGAGATAAT TGAAGGAAGAGATCGAACCATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACAGG GGTAGAGAAGCCTAAATTTCTTCCGGATCTGTATGACTACAAGGAGAACAGATTCATTGA AATTGGGGTGACACGGAGGGAGGTTCACATATACTACCTAGAAAAAGCCAATAAAATAAA ATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAGGAAATGGCCACCAAAGC GGACTACACCCTTGATGAAGAAAGCAGAGCAAGAATCAAAACCAGATTGTTCACCATAAG ACAAGAAATGGCCAGTAGAGGTTTGTGGGATTCCTTTCGTCAGTCCGAGAGAGGCGAAGA GACAATTGAAGAAAGATTTGAAATTACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCT CCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAA CGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCAAGAATTGAACC ATTCTTGAAAACAACACCACGCCCACTCAGATTACCTGATGGGCCTCCTTGTTCCCAGCG GTCAAAATTTCTGTTGATGGATGCTCTGAAACTAAGTATTGAGGACCCGAGTCATGAGGG GGAGGGAATACCGCTATATGATGCAATCAAATGCATGAAGACATTTTTTGGCTGGAAAGA ACCTAACATAATCAAACCACATGAGAAAGGCATAAACCCCAACTACCTCCTGACTTGGAA GCAAGTACTAGCGGAACTCCAAGACATTGAGAATGAAGAGAAGATCCCAAAGACAAAGAA CATGAAGAAAACAAGCCAACTGAAGTGGGCACTTGGTGAAAATATGGCACCAGAGAAAGT AGACTTTGATGATTGCAAAGATATTAGTGATCTTAAACAGTATGACAGCGATGAGCCAGA ACCTAGGTCGCTAGCAAGCTGGATCCAAAGTGAATTCAACAAGGCATGTGAATTGACCGA TTCAAGCTGGATGGAGCTTGATGAGATAGGGGAAGATGTTGCCCCGATCGAACACATTGC AAGCATGAGGAGAAACTATTTTACAGCAGAAGTGTCCCATTGCAGGGCTACTGAGTACAT AATGAAGGGAGTGTACATAAACACAGCCTTGCTCAATGCATCTTGTGCAGCCATGGATGA CTTCCAGCTGATCCCAATGATAAGCAAATGTAGAACCAAAGAAGGGAGACGGAAAACAAA TCTGTATGGATTCATTATAAAAGGAAGGTCTCATTTGAGAAATGACACTGACGTGGTAAA TTTTGTGAGTATGGAGTTCTCTCTCACAGACCCGAGACTGGAGCCACACAAATGGGAAAA GTACTGTGTTCTCGAAATAGGGGATATGCTCTTGAGGACTGCGATAGGCCAAGTGTCACG ACCCATGTTCCTATATGTGAGAACCAATGGAACTTCAAAGATCAAGATGAAATGGGGGAT GGAAATGAGGCGCTGCCTTCTCCAATCCCTTCAGCAGATTGAGAGCATGATTGAGGCCGA GTCTTCCGTCAAAGAGAAAGATATGACAAAGGAATTCTTTGAGAACAAATCAGAAACATG GCCAATTGGAGAGTCACCCAAGGGAGTGGAAGAAGGCTCTATTGGGAAAGTATGCAGAAC CCTACTGGCAAAGTCTGTATTCAACAGTCTATATGCATCTCCACAACTCGAGGGGTTTTC AGCTGAATCGAGAAAATTGCTTCTCATTGTTCAGGCACTTAGGGACAACCTGGAACCTGG GACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTG GGTTTTGCTCAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTGAAATAGTTGTG GCAATGCTACTATTTGCTATCCATACTGTCCAAAAAAGTACCTTGTT >gi|8486125|ref|NC_002017.1|_contigs_ordered_and_oriented GCAAAAGCAGGGGAAATTCAAATCAACCAAGATGGAAGCAAAACTGTTTGTGCTATTCTG TACATTCACTGTACTGAAAGCTGACACCATCTGTGTGGGCTACCATGCAAACAACTCTAC GGACACTGTTGACACAGTATTGGAAAAGAATGTAACTGTGACTCACTCAGTGAATTTGCT CGAAGACAGCCATAATGGGAAGCTCTGCAGTCTGAATGGGATAGCTCCTTTACAATTGGG GAAGTGTAATGTAGCGGGGTGGCTCCTGGGCAATCCAGAATGTGATCTCCTACTCACTGC AAACTCATGGTCCTATATAATAGAGACGTCCAATTCAGAGAACGGGACATGCTATCCCGG TGAATTCATAGATTATGAGGAATTAAGGGAGCAGCTGAGTTCAGTTTCTTCTTTTGAAAA GTTTGAAATTTTCCCCAGGGCAAACTCATGGCCAAACCATGAGACAACCATAGGTGTTAC AGCTGCTTGCTCTTACTCTGGAGCTAGCAGTTTTTATCGAAATTTGCTGTGGATAACAAA GAAGGGGACTTCATATCCAAAACTCAGCAAATCATACACGAACAATAAGGGGAAAGAGGT GCTCGTGCTCTGGGGAGTGCACCATCCTCCGACCACCAGTGAACAACAAAGTCTATACCA GAATACTGATGCATATGTCTCAGTTGGGTCATCAAAGTACAACCGGAGATTCACCCCAGA GATAGCAGCTAGACCCAAAGTTAGAGGGCAGGCAGGCAGAATGAACTATTATTGGACACT ATTAGATCAAGGGGACACCATAACATTTGAGGCCACTGGGAATCTGATAGCACCATGGTA TGCCTTCGCATTAAATAAAGGATCTGATTCAGGAATTATAACATCAGATGCTCCAGTTCA CAATTGCGACACAAGATGCCAAACCCCCCATGGAGCGTTGAACAGTAGCCTTCCTTTCCA GAATGTGCATCCTATCACCATTGGAGAATGTCCCAAATATGTCAAGAGCACCAAGCTAAG GATGGCAACAGGACTAAGAAATGTCCCATCCATTCAATCCAGAGGGCTGTTTGGAGCAAT TGCCGGATTCATTGAAGGAGGATGGACAGGCATGATAGATGGCTGGTATGGGTACCATCA TCAAAATGAACAAGGATCAGGATATGCCGCTGATCAGAAAAGCACACAGAATGCAATTGA TGGAATAACAAATAAGGTGAATTCGGTAATTGAAAAAATGAACACTCAATTCACTGCAGT GGGTAAAGAATTCAACAACCTAGAGAGGAGGATTGAGAATCTGAATAAAAAAGTCGATGA TGGGTTCCTGGATGTTTGGACATACAATGCTGAATTGCTCGTTCTATTGGAAAATGAAAG AACTCTTGATTTTCATGATTCCAATGTGAGGAATTTGTATGAGAGAGTCAAATCACAACT GAGGAATAACGCCAAAGAAATTGGAAATGGTTGCTTTGAGTTCTATCACAAATGTGATGA TGAATGTATGGAAAGTGTGAAGAACGGCACATATGATTATCCCAAATATTCAGAAGAGTC TAAATTGAATCGAGAAGAAATAGACGGAGTAAAACTAGAGTCGATGGGAGTTTACCAAAT TCTGGCGATCTATTCCACAGTCGCCAGTTCCCTGGTCTTGTTAGTCTCCCTGGGGGCAAT CAGCTTCTGGATGTGCTCTAATGGGTCGTTGCAATGCAGAATATGCAT >gi|8486129|ref|NC_002019.1|_contigs_ordered_and_oriented GTAGATAATCACTCACCGAGTGACATCCACATCATGGCGTCTCAAGGCACCAAACGATCT TATGAGCAAATGGAAACTGGTGGAGAACGCCAGAATGCCACTGAAATCAGAGCATCTGTT GGGAGAATGGTTGGTGGAATCGGAAGATTCTACATACAGATGTGTACTGAACTCAAGCTC AGTGACTATGAAGGGAGGCTGATCCAAAATAGCATAACCATAGAGAGAATGGTTCTCTCG GCATTTGATGAGAGGAGAAATAAATATCTGGAAGAGCATCCCAGTGCTGGGAAAGACCCC AAGAAGACTGGAGGCCCAATCTACAGAAGAAGAGATGGAAAATGGATGAGAGAGTTGATC CTATATGACAAAGAAGAGATCAGGAGGATTTGGCGTCAAGCAAATAACGGAGAAGACGCA ACTGCTGGTCTCACCCATTTGATGATTTGGCATTCCAATCTGAATGATGCCACATACCAG AGAACAAGGGCACTTGTGCGTACTGGGATGGATCCCAGGATGTGCTCCCTGATGCAAGGC TCAACTCTTCCAAGAAGATCTGGGGCTGCTGGAGCAGCAGTGAAAGGGGTTGGAACAATG GCGATGGAACTGATCCGGATGATCAAGCGAGGTATCAATGATAGGAATTTCTGGAGAGGC GAAAATGGACGGAGGACGAGAATTGCTTATGAAAGAATGTGCAACATCCTCAAGGGGAAA TTCCAAACAGCAGCACAACGAGCAATGATGGATCAGGTGAGAGAAAGCCGGAATCCTGGG AATGCTGAAATTGAAGATCTCATCTTCCTTGCAAGGTCTGCTCTCATTCTGAGAGGATCA GTAGCTCATAAGTCCTGCCTGCCTGCTTGTGTGTATGGGCTTGCAGTGGCCAGTGGATAC GACTTTGAGAGAGAGGGATATTCCCTAGTCGGAATTGATCCTTTCCGTCTGCTCCAAAAC AGTCAAGTCTTCAGCCTCATCAGACCAAACGAAAATCCAGCGCATAAGAGTCAGCTGGTA TGGATGGCATGTCACTCTGCTGCATTTGAAGATTTGAGAGTGTCAAGCTTCATCAGAGGA ACAAGAGTAGTCCCAAGAGGACAACTATCCACCAGAGGAGTTCAGATTGCTTCAAATGAG AACATGGAGACAATGGACTCCAGCACTCTTGAACTGAGGAGCAGATACTGGGCTATAAGG ACAAGAAGCGGAGGGAACACTAACCAGCAGAGAGCATCTGCAGGGCAAATCAGCGTGCAG CCCACCTTCTCTGTACAGAGAAACCTCCCATTCGAGAGAGCAACCATTATGGCGGCATTT ACGGGAAATACCGAGGGTAGAACTTCAGACATGAGGACTGAGATCATAAGGATGATGGAA AATGCCAGACCTGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAGCTCTCGGACGAA AAGGCAACGAACCCGATCGTGCCTTCCTTTGACATGAGTAATGAAGGATCTTATTTCTTC GGAGACAATGCAGAGGAGTATGACAATTAAAGAAA >gi|8486127|ref|NC_002018.1|_contigs_ordered_and_oriented TCTCTCTGTCCAATCAGTGGATGGGCTATATACAGCAAGGACAATGGTATAAGAATAGGT TCCAAAGGAGATGTATTTGTCATCAGAGAGCCTTTTATTTCATGCTCTCACTTGGAATGC AGGACTTTCTTTCTAACTCAAGGGGCCTTGTTGAATGACAAGCATTCTAATGGAACCGTT AAAGACAGAAGCCCTTATAGAACCCTAATGAGCTGCCCTGTTGGTGAAGCTCCTTCCCCA TACAATTCAAGGTTTGAGTCTGTTGCTTGGTCAGCAAGTGCTTGTCATGATGGCATTAGT TGGTTGACAATTGGTATTTCCGGCCCAGACAATGGGGCGGTGGCTGTATTAAAATACAAT GGCATAATAACAGATACTATCAAGAGTTGGAGAGGCAATATATTAAGAACACAAGAGTCT GAATGTGCCTGCATTAATGGTTCTTGCTTTACCATAATGACTGATGGGCCGAGTAATGGC CAGGCCTCATACAAAATTTTCAAGGTAGAAAAGGGAAAGGTAGTCAAATCAGTTGAGTTG AATGCTCCTAATTACCACTATGAGGAGTGCTCCTGTTATCCTGATGCTAGCGAGGTAATG TGTGTGTGCAGAGACAATTGGCATGGTTCAAATCGACCATGGGTGTCCTTCAATCAAAAT CTAGAATATCAAATAGGATACATATGCAGCGGAGTTTTTGGAGACAACCCGCGCCCTAGT GATGGGACAGGCAGTTGTGGTCCAGTTTCTTCTAATGGGGCATATGGAGTGAAGGGGTTT TCATTTAAATACGGTAATGGTGTTTGGATAGGAAGAACTAAAAGTACTAGCTCAAGGAGT GGGTTTGAGATGATCTGGGATCCTAATGGGTGGACTGAGACAGATAGCAGTTTTTCTGTG AAGCAAGATATTGTAGCAATAACTGATTGGTCAGGATATAGCGGAAGTTTTGTCCAGCAT CCAGAACTGACTGGGTTGGATTGCATGAGGCCTTGCTTCTGGGTTGAGCTGATCAGAGGA AGACCCAAGGAGAACACAATCTGGACCAGTGGAAGCAGCATTTCTTTTTGTGGAGTGAAT AGCGACACTGTGGGTTGGTCTTGGCCAGACGGTGCTGAGTTGCCATTCACCATTGACAAG TAGTTTGTTCAAAAAACTCCTTG >gi|8486122|ref|NC_002016.1|_contigs_ordered_and_oriented GATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCTCTCTATCATCCCGT CAGGCCCCCTCAAAGCCGAGATCGCGCAGAGACTTGAAGATGTGTTCGCAGGGAAAAACA CCGACCTTGAGGCGCTCATGGAATGGCTAAAGACAAGACCAATCCTGTCACCTCTGACTA AGGGGATCTTAGGATTTGTGTTCACGCTCACCGTGCCCAGTGAGCGAGGACTGCAGCGTA GACGCTTTGTCCAAAATGCCCTTAATGGGAATGGGGATCCAAACAACATGGACAGAGCAG TCAAACTGTACAGGAAGCTCAAAAGGGAGATAACATTCCATGGGGCAAAGGAGGTAGCAC TCAGTTACTCAACTGGTGCACTTGCCAGCTGCATGGGTCTCATATACAACAGGATGGGGA CTGTGACCACTGAAGTGGCATTTGGCCTGGTGTGTGCCACGTGTGAGCAGATTGCTGACT CCCAGCATCGGTCTCACAGACAAATGGTAACAACAACCAACCCACTAATAAGACACGAGA ACAGGATGGTACTGGCTAGTACTACAGCTAAGGCCATGGAGCAAATGGCAGGGTCAAGTG AGCAAGCAGCAGAGGCTATGGAGGTTGCTAGTCAGGCTAGACAGATGGTGCAGGCAATGA GGACTATTGGGACTCACCCTAGCTCCAGTGCTGGTCTAAAAGATGATCTTCTTGAAAATT TGCAGGCCTACCAGAAACGGATGGGAGTGCAGATGCAGCGATTCAAGTGATCCTCTCGTT ATTGCCGCAAGTATCATTGGGATCTTGCACTTGATATTGTGGATTCTTGATCGTCTTTTC TTCAAATGCATTTATCGTCGCCTTAAATACGGTTTGAAAAGAGGGCCTTCTACGGAAGGA GTGCCTGAGTCTATGAGGGAAGAATATCGGCAGGAACAGCAGAGTGCTGTGGATGTTGAC AATGGTCATTTTGTCAACATAGAGCTGGAGTAAAAAACTACCT >gi|8486131|ref|NC_002020.1|_contigs_ordered_and_oriented CAGGTAGATTGCTATCTATGGCACATAAGAAAGCTGCTCAGCATGAGAGACATGTGTGAT GCTCCCTTTGATGATAGACTCAGAAGAGATCAGAAGGCATTAAAGGGGAGAGGCAGCACA CTTGGACTCGACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNACCGACATGAGCATAGAGGAAATAAGCAGGGAGTGGTACATGCTCATGCCAAGGCAG AAAATAACAGGGGGTCTGATGGTGAAAATGGACCAGGCCATCATGGACAAGAGGATAATA CTCAAGGCAAACTTCTCTGTCCTATTTGATCAACTGGAAACATTAGTCTCACTGAGGGCT TTCACAGACGATGGCGCCATTGTAGCTGAAATATCTCCTATTCCTTCCATGCCAGGACAT TCTACAGAGGATGTCAAAAATGCAATTGGAATCCTCATCGGTGGACTTGAATGGAATGAT AACTCAATTCGAGCGTCTGAAAATATACAGAGATTCGCTTGGGGAGTCCGTGATGAGAAT GGGGGACCTCCACTCCCTCCAAAACAGAAACGCTACATGGCGAGAAGAGTTGAGTCAGAA GTTTGAAGAGATCAGATGGCTAATTGCAGAGTGCAGAAACATATTAACCAAAACTGAAAA CAGCTTCGAGCAGATAACGTTCTTGCAGGCATTGCAACTCTTACTTGAGGTTGAGAGTGA GATAAGGACATTTTCTTTTCAGCTTATTTAGTACTAAAAAAC ================================================ FILE: tests/input/TestOrderAndOrient/expected.lasv.ambig.fasta ================================================ >KM821998.1|LASV-ISTH2376-S-NG-2012H_contigs_ordered_and_oriented ACTCGGACTCTCTCTGATTCTGAAGGTAATGAAACACCAGGTGGGTATTGTCTAACAAGA TGGATGCTGATTGAGGCCGAGTTGAAGTGCTTTGGGAACACAGCAGTTGCAAAATGCAAT GAGAAACATGATGAAGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGCC ATAAGCAGGCTGAAGACAGAAGCACAAATGAGTATCCAACTGATAAACAAAGCAGTGAAC GCACTGATCAATGACCAGCTGATTATGAAGAATCATTTGAGAGATATCATGGGAATTCCT TACTGCAATTACAGCAAGTACTGGTATCTGAATCACACTGTAACAGGGAAGACATCATTG CCAAGGTGCTGGCTTGTATCAAATGGTTCCTACCTAAATGAAACACACTTTTCTGATGAT ATTGAACAACAAGCAGACAACATGATAACAGAAATGTTGCAAAAGGAGTACATAGACAGG CAAGGGAAGACACCCTTGGGGTTAGTGGATCTTTTTGTCTTCAGCACCAGCTTTTACCTC ATTAGCATCTTCCTCCACCTGGTTAAAATCCCAACCCACAGACATGTCATAGGAAAACCC TGCCCCAAACCACACAGACTCAACCATATGGGCATATGCTCATGTGGTTTATACAAACAT CCTGGTGTACCAGTCAAGTGGAAAAGATAAGAGATAGACCCACCCATGGGCCCCCGTGAC CCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTTG AGGTTCTAAACACCATGTCCCTGGGGAGAACTGCCCTCAAAACTGGTATATTGAGTCCTC CTGACACAGCTGCATCATACATTATGCAATCCATTAGAGCACAGTGCGGGGTGATTTCCT CTTTGCCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTATGCATATGGCATAGATCTT TGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAACCTTGCTCAGTGCAATGT CAATAAGCTTTATGTCCTTTCTTCCTTGGGAGTCCAAGAGTTTCTTGATATCATCTGAAC CTTGACAGGTCAGTACCATATTGCGAGGGAGGGCTTCAATGACTGCGCTGGTCAAACCAG GCTGAGCAGGGAAGAGATCTGCCACATCAATCCCATGAGAGTATTTGGCATCCTGCTTGA ACTGTTTTAGGTCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCTGACATAGGTTGGT AAAGAGCTATTTCCACAGGGTCTTCTGGACGACCTTCGATGTCTATCCAGGTTTTGGCGC TTGGGTCAAGCTGCATCATTGAGTCTTTGAGTGTCATTAATTGAGAATAGGTCAGCCCTG TTGGAAACCCTGCTGACTGTAAAGACTTGTTAGACCCAGCAATGCCCACTTTTTGCGGTT TTCCATCTGACTCGAGATCCACAGTAGTGTTCTCCCAAGCTCTACCCACAATAGAAGTCC TTGAAGCTATGTAGGGCCAGCCGTCACCGGAGAGACAGATCTTGTAAAGTATATTCTCAT AAGGGTTCCTCTCACCAGGTGTATCTGAAACAAACATTCCCAAAGATCTTTTTACTTTTA AAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATGT TCCCCCCATCAAGCATACAAGCTCCGGCTTTCACTGCAGCTCCTAAGCTGAAGTTGTAAC CAGAAATGTTCAAGGAGCTCTTCTTAGTGTCCACCATATTCAGTATAGGGTGGCTTTGGG AAAGTCTGTCCAGGTCGGAGCTATTCGGGTACTTAGCTGTGTATATCAGGCCCAGGTCTG TTAGTGCTAAGACGGCATCATTCAAATCAACTTGACCTTGTTTGGTGAGACATGCTAATG TCAGACTAGGCATGGTGCCGAACTGGTTGTTCAAAAGGTCCGGATTCTTGACATCCCACA CTCTAACGACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAACCATACCTATCA TGTTCAGCAATGCCCTTCTCTGCTCAAGCTGCTGTGTACTCAAATTCCCCATATAAACAC CTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGACTTTAGTTTTTCTAAGTCAGCTG CCAGTGTCAGCAGATCATCTGAGGTCAAGGTCCCAACTCTCAAGATACTCTTTTGTTGTG TCGATTTGAGTTCTACAAGATTGTTGACAGCCTGATTCAAATCTCTGAGACGTTTTAAGT CACTATCATCCCTTTTTTGTTTACGCATTAAGCGCTGCACATTGCTGACTTCAGAAAAAT CAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGTAGTTTTATATTGGAGCAAT AACCTGAAAGCTCCCTCCTCAATGACTGTGTCCAGAGAAATGACTTCACTTCCTTAGAAG CACTCATCTTGGTCTGGACACTCGGGGACTTACTGGTTGAAAGTATCACTCAGTGAGTC >KM821997.1|LASV-ISTH2376-L-NG-2012H_contigs_ordered_and_oriented TTATTGAACAATATCCTAAGCATTGACCTCATCTTTTTACATGCATCAGGAATCAGCCTC TCAATTTGCCTCATTATTCTATAACTACGATTCCCATCCACCCAATCTCTTACATCAGTC TCACAGTTCAAAAGGAATGGATCAATAGGATACTTAGCATAACATAACAAACTCAAAGTC CTCTTCTGAATTTGATTACACAGATCGACTGGGACACCATTAGCCACAGATTGATCAATT ATGGTGTCAATTGTTTCTGCCAATTGATGGGGTTCTTTGCACTTTATGTTATGTAAAGCC GCAGCAACAAATTTTGTTAGCAGAGGTACTTCGTCACCCCAGACATAGAACCTTGATTTG AACTCTGCGACAAACCTGCCAATTGCACTCTTTGGACTCACAAACTTATTTAGCTGATCA CTCATGTAGTAATGAAATTCTAACAATGTTTTGAATTCCTCTGTATCTCTTGAGAGTAAC TCTGTTAGGTTCTGATCAAATAAAGATATCTGATCGTCACTGGACGTGTAAGCATCAATT TGTCCTCCAGATACACACTTCACTGCAAAATTTATAAATCTTTCAGAAATCAATGCATAA AAGTCTGAGGTGTTGTGCAGGATACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAA GGGACTATCCCAATTTGAAAGTTGGAATTAAAGAAGTCCTCAGTCATTGATTGTGTTGTC TTCTTCTTTAATCCAAGTTGGGATTTGATGTATGACTTCATCATTGCTGATACAACATTA AATGGGATCTCAACCATTTTGTGCATATGCCATGTTAATAATGTTGATAGGTAATCTTTA CCTTTTAAATCAGCTTGTAAATCATCAGAAAGTAAGATTAGGTTTTGAATTATTGTTAGA AATAAGAAAGGACACATCATAGGGCCCCACTTACTGTGGTCCATACTGTATGATACATGT GCCGATGAGACATTTAGCTTCATTGACAAAATGGCATTGTCAAACTCCTTCTCATTATTT AGACAGCTGCCTGCTAATTGTGATGTGAGCGCTTCAAAGTAATCCTCAATAAGCCTTGTG AACATCTTTGTCCTTAAATCTCCGATGTACAACTCTCTATTGCCTCCCACTTGTTCCTTG TAAGATAAAGAGAATTTTAGTCTACCAGTGTCAGGGCCAGTTGAATTATAAGACTGAGGT GATTCTTGACTGTAAAAACACAGGTTTTTCAACATTGCTGTAGTACAGTTAGTTAGGGAC AAGGCCTTGCTAAGTGCCTCAGAATTACTCTCACGCTCACTTATCCTGACATCATCAGCC AGTCTTCCTGTATCAAATTTAAAGTTCAGACACTTACTCTTATAATGGGAGTACCTTCCC ATCAGCTTGTTCCCATTCATCACTAACAAAATTGATTTGAAGCACTGGAAATATTCTTGG TCCAAAAAAGTCCTAGTCACTACTGCTTTTGTCAGCTCACTAATAGGACATGAATTCATC GGCCCTACATAAAAATACTTACTTCTCAAAGTAGCATCATTGTAGATATTCTCACAAATT TTGATGTATTGATCCTCAGACAGGATTTCTCGATCAAAATCTTCTATCATATGGTTCGAA AGTTCACATTTTATCAACCTTATTAAGAGTTTTTCTTCCACCACTTTGTCAAGATCAGAT ATTGAGGGAGCATTGCAGTCTGCCTGCTGCTGTCTCTCTGGTTGCTCTCTATATTGACTG ACAATATTGTCAACAGTACACCTCAGTTGATCAAAGTATTCTGATGCTCCTCCATCCAAT AGTATCTCATCTAGATCAGCATTGTTGGTGTCACCACCCCTTCCTTTGGACCCCAGAACA AGATTACTCATTGCTTGCTGTATCTTGTAATCATAATCCTGCTTATTGAGTAAGAATTTA CCTTTACGTGCAAATACTTCAGTTAACTGTGTGACAGCCAAAGCTGTAAGCTTGTTGAAG TCATAATCTAGAACACGGGACCCATCTGTATACTTATTCACAACGACACTCTTATTACTG GCCAAGTCCAAAGCTGTCGCACAGCCGCTTGTAATAAGAGGGTCTCGCAGTGTCTTCTTT ACTTCCTTTTCTTTAAACAATGAACCATTATTAAAACTAGACACTAGGAGTGAAATAAAT TTCTTGGAAACACCAGGCTTTTTATACCTAACCTTTTCCGCATCTGCACAACATTCTTTG CCTAGAAACTTTCTTGCATTATAAACCATTTCAGCAAGCTCTTCCTCCAATGCATCATCT TTCGGGTTCACACTTACATGCCCAAATTCCAATTTAGGCTCAAGGAATTTTTCAAAGCAT TTTATCTGGTCAGTCAGTCTGTCAGGTGTTTCTTTTGTAATGAAATGACACATATAAGAG ATATTTAAAACAAACTTAAATCTATTGGTCATCATACTGACTACTTCTTCAGACAGAATT ATTTTTAGTAGGTGACGAACAAGTTTGTAGAGCAGATATTCAACTTCTGTGATTAAATCC TCCCTGATCTTCTCAATCAAATCCTTGTGATAAAAATCGGATACAAAGGCCATTACAAAA TACCTAATGTTTTGTAAAAACTTCTGACACCTTTTACTAGGATGTGTTAGTATCAAAACC AAAATCATCTTGGTTAACAATTTTATAGTAATCAATTGTTCAGATAGCTCTGTGCACTCT TCTATCCAGCTGACCATAACATCGACTACTTTCTGTAACACATCACTGGAGAATACTGAA GGGAAAAACCGTTTGGGATCAGCATAAAAGGAGCAAACCTCTCCAACTACATTGTTGTTA ATAGCATAACACTTTGAGCATTCACCTGTCTTTTGATATAGTAGTTTGAATCCCATCCTA CTGATGAAGAACTCTTGGCAATAGGCCTCTTTGCACCTTACAACCTGGTATCTAGAGGGT CCAAATTCATTTTGTCTTAGTTTCACTGTGGAAGACGTTTTCATTGAGTTGATCAGAGCC AGGCTCAATGATGATAGTCTTTCTAAGTCTGTCACATCTAGAATGTCAATAACACCAAGA GTATAAGGGAACATGTCTTCCTTAGTTTTCTGGTAACTTATAGTGGGCGTGATACCGGAG ATCTCAATGTCCATGATGGCATCATAAACATCACAATCAAGGATCTTGAGATCAATTCCA TAAGAGTTGGTTTCTATGCCAACCTCCCTCAAAGCATTAGTGGCCCGAGTTAAAACTCTG TTAATGATGGCAAGGAGCTCACAATTTCGTTCTTCTTTGAGTGATAGAACACCTGCATTC CTGTCTTTAGCTCTCTTCCTACTGTCTATCCACCGTTTNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNCAACACTGCATCTGCTCACTTTGAGAGTCAGCAGCCCTTTCTTCACCAGAATCTAAA TCTGCATATAAGAACTTAAGGACTGGAGAGGCTCTTCGGAACTGGTATGTTAACTGCTCA ATATTGTCATCACAAGTGTCTATTTTATCACTATATAGCTTTCTGAAATCCCCTAACAGC TTCATCTTATCAGTTTTAACAAATTGACTTTCTATGTTCCCTTGCCTTAGTTTGTTCCTA AAGATTTGATACTCCTCTTCAATTAAACTCTTGACTTCATGAGAGGTGAGCTTGTTATTA ATGCCCTGATGACAACAAGAAATTATTTCCTCAAAGTGTTTTGCACGCTTGTCAGTTAGA ACATTAATGCTTTCAATCCCGGAGAGCCTCCCAGACGTTAAGGCTAAAGATTCACAAAGT CTTGAATACTCAGATTCTTCGAACAATGCATTACTTTCTTGTGAGTATTTTAATAAAGTG AACAAGGTGTCCCTGAGTTTGTCATTCACCCAATCAGGTATCTGCTCATTGTAAAAAGTT GTCCTACCGTCTATGAGAGGGATAAGATTGATGCCAACGGATTCCAAGTCATTCTTTAAT TGTTCTAGCTTCTTGTGATCTTCTAAATACTTCTGTTCAAAATTGGCAGGGGATGATCTG ACAAAGCACTCAAGTAAGATAAGTACATTACCAGTAAGTTTGTAGCCGTCAGGCACCACA AAGCATAAAGCTGGAGTGAGAATCCCATGATCGCTCAGAATGGATTCAACCGTTTTGTCT TCAGTGTTATGTTCACATCCATTGGCTTTGCAAGAGTCAATCTCAATGCAAAGAGATAGT AGTTTCAATCCCTCCATGAGAAGCATTCTGGGTTCGGTTTGGACCAAAAAGGCTAGCTTT TGTCTCGATAGCTTCTCAT ================================================ FILE: tests/input/TestOrderAndOrient/expected.lasv.fasta ================================================ >gi|23343509|ref|NC_004296.1|_contigs_ordered_and_oriented GCACAGTGGATCCTAGGCTATTGGATTGCGCTTTGCTTTTGTCATTTCAGCAGACATTCT CAGCCTCTTGTTGCGTGCATTTAACACAACAATCTGGCGATGAGTGCCTCAAAGGAAATC AAATCCTTTTTGTGGACACAATCTTTGAGGAGAGAACTATCTGGTTACTGCTCCAACATC AAACTACAGGTGGTGAAAGATGCCCAGGCTCTTTTACATGGACTTGACTTCTCTGAGGTC AGCAATGTTCAACGGTTGATGCGCAAGGAGAGAAGGGATGACAGTGATTTGAAACGATTG AGAGACCTAAATCAAACAGTCAACAATCTTGTTGAATTAAAATCAACTCAACAGAAGAGT ATACTGAGAGTTGGGACTCTAACCTCAGATGACTTATTAATCTTAGCCGCTGATTTAGAG AAGTTGAAGTCAAAGGTGATCAGAACAGAAAGGCCATTGAGTGCAGGTGTCTATATGGGC AATCTGAGCTCACAGCAACTTGACCAAAGAAGAGCTCTTCTGAATATGATAGGAATGAGT AGTGGTAATCAAGGGGCTCAGGCTGGGAGAGATGGAGTGGTAAGAGTTTGGGATGTGAAA AATGCAGAGTTGCTCAATAATCAGTTCGGGACCATGCCAAGTCTGACACTGGCATGTCTG ACAAAACAGGGGCAGGTTGACTTGAATGATGCAGTACAAGCATTAACAGATTTGGGTTTG ATCTACACAGCAAAGTATCCCAACACTTCAGACTTAGACAGGCTGACTCAAAGCCACCCC ATCCTAAATATGATTGACACCAAGAAAAGCTCCTTAAATATCTCAGGTTACAATTTTAGC TTGGGTGCAGCTGTAAAGGCAGGAGCTTGCATGCTGGATGGTGGCAATATGTTGGAAACA ATCAAGGTGTCACCTCAGACAATGGATGGTATCCTCAAATCCATCTTAAAGGTCAAGAAG GCTCTTGGAATGTTCATTTCAGACACCCCTGGCGAGAGGAATCCTTATGAAAACATACTC TACAAGATTTGTTTGTCAGGGGATGGATGGCCATATATTGCATCAAGAACTTCAATAACA GGAAGGGCCTGGGAAAACACTGTCGTTGATTTGGAATCAGATGGGATGCCACAGAAGGCT GGTAGCAGCAGTTCCAATAAATCCCTGCAGTCGGCAGGGTTTGTCGCTGGGCTTACCTAT TCTCAGCTGATGACCCTCAAAGATGCAATGCTGCAACTTGACCCAAATGCTAAGACCTGG ATGGATATTGAGGGAAGACCTGAAGATCCAGTGGAAATTGCCCTCTATCAACCAAGTTCA GGCTGCTACATACACTTCTTCCGTGAACCTACTGATTTAAAGCAGTTCAAACAAGATGCT AAGTACTCACATGGTATTGATGTTACAGACCTCTTCGCTGCACAACCGGGCTTGACCAGT GCTGTTATTGATGCACTCCCCCGGAATATGGTCATTACCTGTCAGGGGTCCGATGACATA AGGAAACTTCTTGAATCACAAGGAAGAAAGGATATCAAACTAATTGATATTGCCCTCAGC AAAGCTGATTCCAGGAAGTATGAAAATGCAGTCTGGGATCAGTATAAAGACCTATGCCAC ATGCACACAGGTGTTGTTGTTGAAAAGAAGAAAAGAGGCGGCAAGGAGGAAATAACCCCT CACTGTGCACTAATGGACTGCATCATGTATGATGCAGCAGTGTCAGGAGGACTGAACACA TCAGTTTTGAGAGCAGTGCTGCCCAGAGATATGGTGTTCAGAACATCGACACCCAGAGTC GTCCTGTAAATGGACGCCCCCGTGACCCACCGCCAATAGGCGGTGGGTCACGGGGGCCCT GACAAGGGTCTCATCTCTTCCATTTTACAGGCACACCAGGCTGTTTGTAGAGTCCACAAG AACATATGCCCATGTGATTCAGTCTGTGAGGTTTGGGACACGACTTGCCTACAACATGCC TATGAGTTGGTATTTTGACCAGGTGGAGGAAGATGCTAATGAGATAGAAACTTGTGCTGA ACACAAAGAGGTCAACCAGGCCCAATGGTGTCTTCCCCTGCCTCTCCATGTACTCCTTCT GTAACATCTCAGTGATCATGTTGTCAGCTTGTTGTTCAATATCATCAGAAAAGTGAGTCT CGTTCAAGTACGAACCATTTGATACAAGCCAACATTTGGGCAGTGATGTTTTCCCAGTAG TTGTGTGGTTGAGGTACCAATACTTGCTGTAATTACAGTATGGAATTCCCATGATGTCCC GCAGGTGGTTCTTCATTATGAGTTGGTCATTTATTAAAGCATTTACTGCTTTGTTGATCA ACTGAATGCTCATTTGTGCTTCAGCTTTCAACCTTTGAATGGCTTGTTTATTGAAGTCAA ACAGCCTCAGCATGTCACAAAACTCCTCATCATGTTTCTCATTACATTTTGCTACAGCTG TGTTCCCGAAGCATTTTAGTTCAGCCTCAATTAGCATCCATCTGGTCAGACAATATCCCC CTGGTGCGTCATTGCCTTCAGAATCTGATAGTGTCCATGTGAATGTGCCTAGTAGTCTTC TGCTAATGTAAATATCTCTGGTCCTTTGTGAGAGGAGCCCAAGGTAACCGATAGGAGATG GTCTCGAGAATTGGCAGTGATCTTCCCAGGTTGTATTTTGGATTATTAAATATTGATAAC TAGTCATGATACAGTCCCAATTACCATGACCTGAGTCAAGAGCAATGTAGCTCCCACCCC AAGCCATCCTCATGAAAGTCTGCAATACACCATTTGCAACAGTGCCACAATGGTTGGCTG CATCTACAGCATAGCTATGACTCAAGTTGTACTGCACACTAATTTTTCCCCCATTAAAAT CGCAGCTCATCGCCTCATACTGATTGAAGTTGGGGATGGACAAGTGGAAAGTTGAGATTA TGCTCATAAGAGCGTGGTCATAGAGGTTCTTTTTGTGGGCATCAGACAGATTACAAAATT TATGATTAATAATGCTCGTGTTAGTCAAGGTCAGTTCTAGTCCTGTCTCATTGCCCACCC TTATATAATGATGACTGTTGTTCTTTGTGCAGGAGAGAGGCATGGTCATATTGAGTGTCT CCATGTTTAGTTCCAGAGTCTGGAGCTCATAAACCCCTTTATAGAGGCTGGTTGTGCAAG ACTTACCACACAACAGGAGGAAAGTGACCAAACCAACAAGGCCACATGTTGCAATGTTGT ACAGACCTTTCAACACTGCCAGTATAGACAGTGTAATGAGAACAATGTTCATCACCTCTT CTATTACATGAGGCACTTCTTGGAAGAATGTCACTATTTGTCCCATTTTAAATAGGACAC TTGAATTGCGCAACCAAAAATGCCTAGGATCCCCGGTGCGC >gi|23343512|ref|NC_004297.1|_contigs_ordered_and_oriented CGCACCGGGGATCCTAGGCAATTTGGTTGTTCTTCTTTTTGAGGCTTTGTACGCTGAACT CTTCCAAATGGGAAACAAGCAATCCAAAGCCCCAGAATCAAGAGACAGTCCAAGAGCCAG CCTGATCCCGGATGCCACACATCTAGGGCCACAGTTCTGCAAGAGCTGCTGGTTCGAAAA CAAGGGCCTGGTTGAGTGCAACAACCACTATCTGTGTCTCAACTGCCTCACCTTACTTCT GAGTGTCAGCAACAGGTGCCCCATTTGCAAGATGCCTCTCCCCACAAAGCTGAGACCATC AGCCACTCCAACAGCACCTCCAACTAGAGCAGCAGACAGCATCAGACCCCCACCCTACAG TCCCTGAGTCTCCCACCGACCCCCACCACTCNNNNNNNNNNNNNNNNNNCCCCCGGGGGG ACCCCCCGCCGGGGGCCCCCCCGGGGGAGCCAACCATCACCAAAAGACTACTCAATGTCC TCGATACATTCATCTTTCCTAGTCAACTCTTCACATGTTCTGCCCTTCAGTCTCAATTTA CCACTACTTGACTGTACCATCACCTTCCCCCTTGACTTACTGTAACAGAGAGCGTAACCC TTGAACTCCACCCAATTGTCCACTGCCTCAAGAACCGCACTCAAGATCCCCTCACAACTC GGCGCTGCAGCCCTAAGTGTGGAGATGATGTCCACCCCTGACCACTGCATCCTTAATCCC AGCCTATCTATCATCATATCACTCAGTGCCCCAATCAGCAGGTCAGACGAAGTGTCCCCA ACCTCTCTCACAAACACCTCAAGATCCTGGTCTTGTATAACAGGTGTAAAGGATGCTAAC CTCCTTCCACATTCCCACAAGCCACCTCTATGCACAACCAGAGGGGCTGGTTCAGTGCAA GGACCCACCAATACAAAGTCATACTCCGTAAACTGCAACTTTTCCATATCAACAACAATC TCAACAGGGGTCACATGCCCCAGTTGATTTGTATCAACCAAAAACTCATTAATGATTTCG GTGTCAACATACCATGCTGATTTGCCCTTGAAAGTGGGTCCTGACAAAACCAGTCTCCAG CAGTCTGACAAAACACACGGATTCACTGCACCTGAGTACATAACGGTTACATCATGTACT AAATACTTGGCTTGTTGACTCATTGAGCCAGTATACTCCAGGTGGATGGCAAAGCTTTCC TTGAAACTAGCATCTTGACTTTTGACACGGAACCTCACTGTCTGACTCAATTTTGCAGAC CCTGAAGGTAGTGAAGCTACGGCATCAAAGAAATCCTCCAATGAGTCAAACTTGAGATCA ACTAAACCAGATGCGATCAATTGATTTTGGTTGAATCTAGCTGGCTCAATATCAAAGTCT ATCCAAGCATAACCCATCATCAGATCATGTTTGTACATTGGCCTTTCAACACCTTTGTGA ATAACTTTCTCTACAAATGAGGAAAATGGACCCATTCTATGCAACCCTTCACCCTCTGGA ACTGATGTCTTGTGTGGAAACCACGTGAAGGACCCCAATGTTCTTGTAGTCGCAACAAAT GGCCTCACATAAGACTCAAAATAAATTTGCCTCATGAAATTGTCAACAGCATCGCTAGTG CTCACTACTCTTTCTTCCACCATAGGCTCATGTGTCCTACTATGAGATAGCCTCAGCTCA GATGACAACACAATGTAATGTTCCTCCCTTTTCCATTTTACTATATGTGAGACAAGAGAC AAGGCTTCACAGTTAACATCCAACGCTACACAGAGATCTAGAAATTTTATTCTGGGTGAC CACTTCATTTTAGTTGACGCTAGATCGCTCATGAATGGTAATATGTGTTTTTCAAACACT GATGGGTACAGCCTCCTTAAAGAATGAATGATGTGATTCAAACCAACCCTATCCTCTAAT AGTTTTGACGCAGTTGGCTTTAAGGGGAAATAGTCACAGGGGTTATGCTTGAAAAAATCC AACACCTTAACTGTCTTAGGTTCCCCTAAGACCCATGCACCCAGTTCTATTGCAGTTGAT AATGATATGCACATATAATCCCATAACAAGGGTCTGAAATAACTAATGACATCATCATTT CCACTTCCATTTCTTAGTTCTAACGGAACCTGCCAATATTGAATACCATTAGAATTTGTC AACAATTTGATTCCCTTAACATCAGAAATCAGAGACTGAATGGACTTAATATACAGATTC TCTTTATTTGGTCCCCGAACACATTTGCTACCCAATGTTCTGCATAATCCCACAAAGCCA GATGCAATGGAACTTTGGAATGCAGATTTGTTAATAGCTTCAGACAGCAATTTTTGCGCA CCTCGAGTAAAAGTGGAAGACAACTTATTTTGGATTGTTTTGACAATGGTAGGAATCTTC TCATCATCTAGGTTCACAGCACCTGAATATATTATCTTTTGTCTCAACACCATTCTTAAA GGATGATGTGCGGCTAAGTTTAACCAAGAGTACTCAAGGTCAGACTCAGATGGAGATTCA ACACCTAACAGCTCACAAAGATTTCTTAGTGAAGAGAGGTGCTCACTAGACAAATAGTTT GTTGTAAACTCTTCATGGAGTTGCCCAGTCTTCAACCTATTGTACAGTTTTCTTAACATA GATCTAATCTTGCTGCAAGCGTTGGGAATCAATCCCTCTATTTGTCTCATGATTCTATAA CTACGGTTGCCATCCACCCAATCTCTAACATCTGTCTCGCAATTCAATAAAAATGGGTCA ATAGGGTATCTTGCATATTGCAAAAGACTTAAGGTTCTTTTCTGTATTAGATTGCATAAG TGAACAGGGACACCATTTGCAACCGACTGATCAATGATTGTGTCAATTGTTTCTGCCAGT TGGTGTGGCTCTTTACACTTTATATTGTGAAGAGCTGCTGCAACGAACTTTGTCAACAAT GGCACCTCATCTCCCCAAACAAAAAATCTAGATTTAAACTCAGCAACAAACCTGCCAATA ACACTTTTAGGGCTCACAAACTTATTGAGTTGATCACTCATATAATAATGGAACTCTATT AGAGTCCTAAATTCTTCTGGGTCCCTCTGCAAAAGCTCTGTGAGAGATTGATCAAAGAGA GAAATTTGATCATCACTAGAGGTATAAGCATCTATAGTACCACCACATATACAACTGATA GCATAATTAATGAACCTCTCTGAAATAAGGGCATAAAAATCTGATGTGTTGTGTAATATT CCCTGACCCATGTCAAGTATTGAACTAATGTGAGAAGGCACTACACCGACTTGGAAATTA GAGTAAAAGAAATCTTCTGTTATTGACTGTTTAGTTTTCTTCCTTAACCCTAGTTGAGCT TTAATGAAAGACTTCATCATGGCTGTCACCACATTAAAAGGTATTTCCACCATTTTGTGC ATATGCCACATGAGTAGGGTTGAAAGATAGTCCCTCCCTTTTATGTCAGCTTGCAAGTCC CTTGAGAGGAAAATCAAATTCTGTAAGACAGTCAAGAACAAAAATGGACACATCATTGGG CCCCACTTACTATGATCCATGCTATAGGACACATGCGCTAATGAAACATTCAATTTCATG GAGAGGATAGCATTCTCAAACTCCTTCTCGTTGTTCAAGCAACTCCCTGACAACTGTAGG CTTATAGCTTCAAAGTAATCTTCTATAAGTCTAGTAAACATCTTTGTTCTAAGATCACCA ATATATAGTTCTCTGTTGCCACCCACTTGTTCTTTATATGACAAAGAGAACTTAAGCCTT CCTGTATCAGGTCCCACTGAGTCATAAGATTGTGGCGACTCTTGGCTATAAAAACACAAA TTCTTTAACATTGCTGTGGTACAGTTTGTCAGTGACAGAGCCTTACTAAGTGCCTCTGAG TTGCTCTCCCTTTCACTAATTCTCACATCATCAGAGAGTTTACCCATGTCAAACTTGAAA TTAAGGTTCCTTGACTTATAATGAGTGTACCTCCCCATAAGTGCATTTGCATTCATGATC AAGAGTATGGACTTAAAACACTGAAAGTATTCATGGTTAAAGTATGTCCTTGTTGATACT GCCTTTGTCAACTCTCCAATAGGACACTGTGACATATGTCCACAGTAAAAATACTTCTCC TTCAATCTACTATTCTCATAGACAGCATTACAGAATTCTTCATAAAATTTACCTGGTAAG ATATCATAATCAAAATCCTCAACCATGTGATTAGATAATTCACCCTTAATCAACCTAATG TAAAACTTATTTGAGACAATCTCATCTAGATCATTTATTGACGGTTGGCCATCACCATTA GGGCCTGAGCCTGGCTTGGTGGGTTCCCTATACTGATCGACAATTTTTTCAACAGTCTCT TTTAGCTGATCAAAATAATCGCTTGCACCTCCATCGAGCAAAATTTCATCTAGGTCAGCT CCATCAACATCACTTTTGAGCTGCCCAGATCCTAGAACCAAATTGCTCATTGCCTGCTGA ACTTTGTATTCATAGTCCTGCTTGTTGAGAAGGTACTTTCCTTTTCTTGAGAAGACTTCA GTGAGCTGCGACACGGCCAGTGCTGTGAGCTTATTGAAGTCATAGTTTAATATTCTAGAA CCATCTGTGTACTTATTAACAACAACACTTTTGTTGCTGGCTAAATCCAAGGCAGTGGCA CAGCCACTGGTGATGAGAGGATCTTTGATTTCCCTTTTTACTTCCCTCTCCTTAAATAGT GAACCATTGTTGAAAGAAGACGTAAGAAGGGACAAATACTTCTTTGAAACACCAGGCCTT TTATAGTCTGGTCCCTCGACACTTGTGCATCCATCTTTACTTAAAAACTTTTTTGCATTA TAGACCATGTCGTCCAATTCTTCCTCGGTAGCTGTATCTGCAGGGTTAGTGCTCACATGA CCAAATTTCACCTTTGGTTCCAAAAACTTCTCAAAACATTTTATCTGATCTGTTAATCTA TCTGGTGTTTCTTTCGTAATGAAGTGGCACATGTAAGAAATATTCAAAATGAACTTGAAC CTATTGGTCATCATGCTCTTCACATCTTCAGATAAAACTAAACTCATTAATGTCCTTATT AACCTATAGAGCAGGAACTCAACATCAGTGATTAATTCTTCCCTTATTTTGTCAACGAGG TCCTTATGATGATAATCTGACACATAAGCCATTACAAAATACCTAAGATTTTGGAGGAGC TTTTGAGAACGTTTACTGGGGTGAGCTAAAATTAAAACCAGGATCATCTTTGTCAAAAAC TTTATGTTGTTCAACTGCCCTTCCAGCTCACTGCAATCTTCTATCCAAGAAATCATAGTG CTTATTGTTGTCTGTAAAACCTCAGCTGAAAATATTGCTGGAAAATATCTTTTAGGATCA GCGTAAAATGAGCACACCTCACCAACTTTGTTATCATTAATAGCATAGCACTTCGAGCAT TCCCCTGTTTTTTGATAAATCAGTTGGAATTCAGAGTTTCCTAATGAAAACTCTTGACAA TATGCTTCTTTGCATCTGACCACCTGATACCTTGCGGGTCCAAACTCATTCTGCCTCAAT TTTACGGTAGAAGAAGTTTTCATAGAGTTCACCAAGGCGAGGCTCAATGAAGAAAGTCTC TCTAAGTCAGTGGTTCCCAGTAGTTCCACATCCCCCATCACATAAGGGAATGTTTCTTCC TCTGTTCTCTGATAACTGATTGTGGGAACAATTCCGGAGACATCAAAATCCATAATCAAA TCATAACTATTAAGGCAAACCACCTCCATGTCAATTTTATAGTGGTCTACACTGATTCCA ACATCCTCTAAAGCAGTGGTGGCCTTCAAAATGGTTTTCTGGAATATTGAATTGAGAATT TGGTTCTTACTCAAACACTGGGAGGACTGTGTGTTTCTAGATCTCTCAGCCTGTTGCCTC CGCTCAACCCATTTCTCAAGATCCCTTTTTGTTGACTCTAAAGAAACTAGTCTATCATTT ACACTTAAGAAGCAAGACCCCAACCACCCTTTTAAACACTTTTGTTTCATTAGGTCATAC TTGCTTGCAAGGAGAATTAATGCATCAAAAATTAATAGAAGTTTCCTCCTTGTGTTCAAT ATCCTCAAAGATTTTACTTTATTCAGGAATGATCTCCAGCATTGAACCTGACATTCTCCA ATGGTTTGGTTTTCCCTCTTTTCATTCCCCTCCTCAATGTTTGCATACAGAAATCTCAAT ATTGGTGATGCTCTCTTGAACTGATAAATCAAGTGTTCGATATTGTCTTCTGCAGCTACC TTATCAGCGTACAAATTATTAAGTTCATTAAGTAATTGGTTCTTATCAACCTTCAGAAAC TGACCTTCTATCTCTCCTTTCCTCAATCTGTTCCTAAACACTTGATACTCCTCTTCGATC TGCAGCTTTACCTCATGGGCTGTTAACTTATTATTGATGCCTTGATGGCATGAGGCAATC ACTTCCTCATAATGATTGGAGCGATTGTCCATCAGAACATTTAAACTCTCCACCCCTGAT AATCTACCCGAAGTCATGGATAAAGATTCACAGAGTCTACTATACTCTGATTCTTCAAAA AGTGAATTACTCTCCTGTGCATACTTTAAAAGTGAAAAGAGCGTATCCCTCAACTTGTCA TTGACCCAGTCAGGTATTTGTTCATTGTAGAATGATGTCCTCCCGTCTATGAGTGGTATT AAATTGATATCGACACTCTTCAAGTCTTCTTTCAATTGCTCTAATTTTTTGAAGTCCTCA ATGTACTTCTGCTCAAAGTTAGCAGGAGATGACCTAACAAAACACTCCAGCAGTATTAGA ACATTGCCCGTCAGTTTGTAACCGTCCGGCACCACAAAACATAGTGAAGGTGTCAAGATT CCATGGTCATGGAGAATTCTTTCCACAGATTTGTCCTCACTATTATGCTCGCAACCATTT GCGTTGCAAGAATCAACCTCAATACAGAGGGACAAGAGTTTCAACCCTTCCATTAGTAGC ATCCTAGGCTCTGTCTGTACAAGAAATGCTAACTTCTGTCTAGATAATCTCTCATTGTCC ACTAGATACTTTGATACTAAGTCTTTGACACAGGCTATGTCTTCCTCCATGTCTGGCCAC GAGTATGTTGGTCAGAACCCTCAAAACATGTGATCTGCTAGAGCAACAGTTCACCACAGG CCAGGGTCCCGTGGGGGGCACAAGGGATACAAGAGGCAATTAAAGACAATTAAATTAGAT AGCCTTAATGCCTAGGATCCTCGGTGCG ================================================ FILE: tests/input/TestOrderAndOrient/expected.lasv.promer.fasta ================================================ >pseudo_used_gi|23343509|ref|NC_004296.1| CACAGTGGATCCTAGGCTATTGGATTGCGCTTTGCTTTTGTCATTTCAGCAGACATTCTC AGCCTCTTGTTGCGTGCATTTAACACAACAATCTGGCGATGAGTGCCTCAAAGGAAATCA AATCCTTTTTGTGGACACAATCTTTGAGGAGAGAACTATCTGGTTACTGCTCCAACATCA AACTACAGGTGGTGAAAGATGCCCAGGCTCTTTTACATGGACTTGACTTCTCTGAGGTCA GCAATGTTCAACGGTTGATGCGCAAGGAGAGAAGGGATGACAGTGATTTGAAACGATTGA GAGACCTAAATCAAACAGTCAACAATCTTGTTGAATTAAAATCAACTCAACAGAAGAGTA TACTGAGAGTTGGGACTCTAACCTCAGATGACTTATTAATCTTAGCCGCTGATTTAGAGA AGTTGAAGTCAAAGGTGATCAGAACAGAAAGGCCATTGAGTGCAGGTGTCTATATGGGCA ATCTGAGCTCACAGCAACTTGACCAAAGAAGAGCTCTTCTGAATATGATAGGAATGAGTA GTGGTAATCAAGGGGCTCAGGCTGGGAGAGATGGAGTGGTAAGAGTTTGGGATGTGAAAA ATGCAGAGTTGCTCAATAATCAGTTCGGGACCATGCCAAGTCTGACACTGGCATGTCTGA CAAAACAGGGGCAGGTTGACTTGAATGATGCAGTACAAGCATTAACAGATTTGGGTTTGA TCTACACAGCAAAGTATCCCAACACTTCAGACTTAGACAGGCTGACTCAAAGCCACCCCA TCCTAAATATGATTGACACCAAGAAAAGCTCCTTAAATATCTCAGGTTACAATTTTAGCT TGGGTGCAGCTGTAAAGGCAGGAGCTTGCATGCTGGATGGTGGCAATATGTTGGAAACAA TCAAGGTGTCACCTCAGACAATGGATGGTATCCTCAAATCCATCTTAAAGGTCAAGAAGG CTCTTGGAATGTTCATTTCAGACACCCCTGGCGAGAGGAATCCTTATGAAAACATACTCT ACAAGATTTGTTTGTCAGGGGATGGATGGCCATATATTGCATCAAGAACTTCAATAACAG GAAGGGCCTGGGAAAACACTGTCGTTGATTTGGAATCAGATGGGATGCCACAGAAGGCTG GTAGCAGCAGTTCCAATAAATCCCTGCAGTCGGCAGGGTTTGTCGCTGGGCTTACCTATT CTCAGCTGATGACCCTCAAAGATGCAATGCTGCAACTTGACCCAAATGCTAAGACCTGGA TGGATATTGAGGGAAGACCTGAAGATCCAGTGGAAATTGCCCTCTATCAACCAAGTTCAG GCTGCTACATACACTTCTTCCGTGAACCTACTGATTTAAAGCAGTTCAAACAAGATGCTA AGTACTCACATGGTATTGATGTTACAGACCTCTTCGCTGCACAACCGGGCTTGACCAGTG CTGTTATTGATGCACTCCCCCGGAATATGGTCATTACCTGTCAGGGGTCCGATGACATAA GGAAACTTCTTGAATCACAAGGAAGAAAGGATATCAAACTAATTGATATTGCCCTCAGCA AAGCTGATTCCAGGAAGTATGAAAATGCAGTCTGGGATCAGTATAAAGACCTATGCCACA TGCACACAGGTGTTGTTGTTGAAAAGAAGAAAAGAGGCGGCAAGGAGGAAATAACCCCTC ACTGTGCACTAATGGACTGCATCATGTATGATGCAGCAGTGTCAGGAGGACTGAACACAT CAGTTTTGAGAGCAGTGCTGCCCAGAGATATGGTGTTCAGAACATCGACACCCAGAGTCG TCCTGTAAATGGACGCCCCCGTGACCCACCGCCAATAGGCGGTGGGTCACGGGGGCCCTG ACAAGGGTCTCATCTCTTCCATTTTACAGGCACACCAGGCTGTTTGTAGAGTCCACAAGA ACATATGCCCATGTGATTCAGTCTGTGAGGTTTGGGACACGACTTGCCTACAACATGCCT ATGAGTTGGTATTTTGACCAGGTGGAGGAAGATGCTAATGAGATAGAAACTTGTGCTGAA CACAAAGAGGTCAACCAGGCCCAATGGTGTCTTCCCCTGCCTCTCCATGTACTCCTTCTG TAACATCTCAGTGATCATGTTGTCAGCTTGTTGTTCAATATCATCAGAAAAGTGAGTCTC GTTCAAGTACGAACCATTTGATACAAGCCAACATTTGGGCAGTGATGTTTTCCCAGTAGT TGTGTGGTTGAGGTACCAATACTTGCTGTAATTACAGTATGGAATTCCCATGATGTCCCG CAGGTGGTTCTTCATTATGAGTTGGTCATTTATTAAAGCATTTACTGCTTTGTTGATCAA CTGAATGCTCATTTGTGCTTCAGCTTTCAACCTTTGAATGGCTTGTTTATTGAAGTCAAA CAGCCTCAGCATGTCACAAAACTCCTCATCATGTTTCTCATTACATTTTGCTACAGCTGT GTTCCCGAAGCATTTTAGTTCAGCCTCAATTAGCATCCATCTGGTCAGACAATATCCCCC TGGTGCGTCATTGCCTTCAGAATCTGATAGTGTCCATGTGAATGTGCCTAGTAGTCTTCT GCTAATGTAAATATCTCTGGTCCTTTGTGAGAGGAGCCCAAGGTAACCGATAGGAGATGG TCTCGAGAATTGGCAGTGATCTTCCCAGGTTGTATTTTGGATTATTAAATATTGATAACT AGTCATGATACAGTCCCAATTACCATGACCTGAGTCAAGAGCAATGTAGCTCCCACCCCA AGCCATCCTCATGAAAGTCTGCAATACACCATTTGCAACAGTGCCACAATGGTTGGCTGC ATCTACAGCATAGCTATGACTCAAGTTGTACTGCACACTAATTTTTCCCCCATTAAAATC GCAGCTCATCGCCTCATACTGATTGAAGTTGGGGATGGACAAGTGGAAAGTTGAGATTAT GCTCATAAGAGCGTGGTCATAGAGGTTCTTTTTGTGGGCATCAGACAGATTACAAAATTT ATGATTAATAATGCTCGTGTTAGTCAAGGTCAGTTCTAGTCCTGTCTCATTGCCCACCCT TATATAATGATGACTGTTGTTCTTTGTGCAGGAGAGAGGCATGGTCATATTGAGTGTCTC CATGTTTAGTTCCAGAGTCTGGAGCTCATAAACCCCTTTATAGAGGCTGGTTGTGCAAGA CTTACCACACAACAGGAGGAAAGTGACCAAACCAACAAGGCCACATGTTGCAATGTTGTA CAGACCTTTCAACACTGCCAGTATAGACAGTGTAATGAGAACAATGTTCATCACCTCTTC TATTACATGAGGCACTTCTTGGAAGAATGTCACTATTTGTCCCATTTTAAATAGGACACT TGAATTGCGCAACCAAAAATGCCTAGGATCCCCGGTGCG >pseudo_used_gi|23343512|ref|NC_004297.1| TTCCAAATGGGAAACAAGCAATCCAAAGCCCCAGAATCAAGAGACAGTCCAAGAGCCAGC CTGATCCCGGATGCCACACATCTAGGGCCACAGTTCTGCAAGAGCTGCTGGTTCGAAAAC AAGGGCCTGGTTGAGTGCAACAACCACTATCTGTGTCTCAACTGCCTCACCTTACTTCTG AGTGTCAGCAACAGGTGCCCCATTTGCAAGATGCCTCTCCCCACAAAGCTGAGACCATCA GCCACTCCAACAGCACCTCCAACTAGAGCAGCAGACAGCATCAGACCCCCACCCTACAGT CCCTGAGTCTCCCACCGACCCCCACCACTCNNNNNNNNNNNNNNNNNNNCCCCGGGGGGA CCCCCCGCCGGGGGCCCCCCCGGGGGAGCCAACCATCACCAAAAGACTACTCAATGTCCT CGATACATTCATCTTTCCTAGTCAACTCTTCACATGTTCTGCCCTTCAGTCTCAATTTAC CACTACTTGACTGTACCATCACCTTCCCCCTTGACTTACTGTAACAGAGAGCGTAACCCT TGAACTCCACCCAATTGTCCACTGCCTCAAGAACCGCACTCAAGATCCCCTCACAACTCG GCGCTGCAGCCCTAAGTGTGGAGATGATGTCCACCCCTGACCACTGCATCCTTAATCCCA GCCTATCTATCATCATATCACTCAGTGCCCCAATCAGCAGGTCAGACGAAGTGTCCCCAA CCTCTCTCACAAACACCTCAAGATCCTGGTCTTGTATAACAGGTGTAAAGGATGCTAACC TCCTTCCACATTCCCACAAGCCACCTCTATGCACAACCAGAGGGGCTGGTTCAGTGCAAG GACCCACCAATACAAAGTCATACTCCGTAAACTGCAACTTTTCCATATCAACAACAATCT CAACAGGGGTCACATGCCCCAGTTGATTTGTATCAACCAAAAACTCATTAATGATTTCGG TGTCAACATACCATGCTGATTTGCCCTTGAAAGTGGGTCCTGACAAAACCAGTCTCCAGC AGTCTGACAAAACACACGGATTCACTGCACCTGAGTACATAACGGTTACATCATGTACTA AATACTTGGCTTGTTGACTCATTGAGCCAGTATACTCCAGGTGGATGGCAAAGCTTTCCT TGAAACTAGCATCTTGACTTTTGACACGGAACCTCACTGTCTGACTCAATTTTGCAGACC CTGAAGGTAGTGAAGCTACGGCATCAAAGAAATCCTCCAATGAGTCAAACTTGAGATCAA CTAAACCAGATGCGATCAATTGATTTTGGTTGAATCTAGCTGGCTCAATATCAAAGTCTA TCCAAGCATAACCCATCATCAGATCATGTTTGTACATTGGCCTTTCAACACCTTTGTGAA TAACTTTCTCTACAAATGAGGAAAATGGACCCATTCTATGCAACCCTTCACCCTCTGGAA CTGATGTCTTGTGTGGAAACCACGTGAAGGACCCCAATGTTCTTGTAGTCGCAACAAATG GCCTCACATAAGACTCAAAATAAATTTGCCTCATGAAATTGTCAACAGCATCGCTAGTGC TCACTACTCTTTCTTCCACCATAGGCTCATGTGTCCTACTATGAGATAGCCTCAGCTCAG ATGACAACACAATGTAATGTTCCTCCCTTTTCCATTTTACTATATGTGAGACAAGAGACA AGGCTTCACAGTTAACATCCAACGCTACACAGAGATCTAGAAATTTTATTCTGGGTGACC ACTTCATTTTAGTTGACGCTAGATCGCTCATGAATGGTAATATGTGTTTTTCAAACACTG ATGGGTACAGCCTCCTTAAAGAATGAATGATGTGATTCAAACCAACCCTATCCTCTAATA GTTTTGACGCAGTTGGCTTTAAGGGGAAATAGTCACAGGGGTTATGCTTGAAAAAATCCA ACACCTTAACTGTCTTAGGTTCCCCTAAGACCCATGCACCCAGTTCTATTGCAGTTGATA ATGATATGCACATATAATCCCATAACAAGGGTCTGAAATAACTAATGACATCATCATTTC CACTTCCATTTCTTAGTTCTAACGGAACCTGCCAATATTGAATACCATTAGAATTTGTCA ACAATTTGATTCCCTTAACATCAGAAATCAGAGACTGAATGGACTTAATATACAGATTCT CTTTATTTGGTCCCCGAACACATTTGCTACCCAATGTTCTGCATAATCCCACAAAGCCAG ATGCAATGGAACTTTGGAATGCAGATTTGTTAATAGCTTCAGACAGCAATTTTTGCGCAC CTCGAGTAAAAGTGGAAGACAACTTATTTTGGATTGTTTTGACAATGGTAGGAATCTTCT CATCATCTAGGTTCACAGCACCTGAATATATTATCTTTTGTCTCAACACCATTCTTAAAG GATGATGTGCGGCTAAGTTTAACCAAGAGTACTCAAGGTCAGACTCAGATGGAGATTCAA CACCTAACAGCTCACAAAGATTTCTTAGTGAAGAGAGGTGCTCACTAGACAAATAGTTTG TTGTAAACTCTTCATGGAGTTGCCCAGTCTTCAACCTATTGTACAGTTTTCTTAACATAG ATCTAATCTTGCTGCAAGCGTTGGGAATCAATCCCTCTATTTGTCTCATGATTCTATAAC TACGGTTGCCATCCACCCAATCTCTAACATCTGTCTCGCAATTCAATAAAAATGGGTCAA TAGGGTATCTTGCATATTGCAAAAGACTTAAGGTTCTTTTCTGTATTAGATTGCATAAGT GAACAGGGACACCATTTGCAACCGACTGATCAATGATTGTGTCAATTGTTTCTGCCAGTT GGTGTGGCTCTTTACACTTTATATTGTGAAGAGCTGCTGCAACGAACTTTGTCAACAATG GCACCTCATCTCCCCAAACAAAAAATCTAGATTTAAACTCAGCAACAAACCTGCCAATAA CACTTTTAGGGCTCACAAACTTATTGAGTTGATCACTCATATAATAATGGAACTCTATTA GAGTCCTAAATTCTTCTGGGTCCCTCTGCAAAAGCTCTGTGAGAGATTGATCAAAGAGAG AAATTTGATCATCACTAGAGGTATAAGCATCTATAGTACCACCACATATACAACTGATAG CATAATTAATGAACCTCTCTGAAATAAGGGCATAAAAATCTGATGTGTTGTGTAATATTC CCTGACCCATGTCAAGTATTGAACTAATGTGAGAAGGCACTACACCGACTTGGAAATTAG AGTAAAAGAAATCTTCTGTTATTGACTGTTTAGTTTTCTTCCTTAACCCTAGTTGAGCTT TAATGAAAGACTTCATCATGGCTGTCACCACATTAAAAGGTATTTCCACCATTTTGTGCA TATGCCACATGAGTAGGGTTGAAAGATAGTCCCTCCCTTTTATGTCAGCTTGCAAGTCCC TTGAGAGGAAAATCAAATTCTGTAAGACAGTCAAGAACAAAAATGGACACATCATTGGGC CCCACTTACTATGATCCATGCTATAGGACACATGCGCTAATGAAACATTCAATTTCATGG AGAGGATAGCATTCTCAAACTCCTTCTCGTTGTTCAAGCAACTCCCTGACAACTGTAGGC TTATAGCTTCAAAGTAATCTTCTATAAGTCTAGTAAACATCTTTGTTCTAAGATCACCAA TATATAGTTCTCTGTTGCCACCCACTTGTTCTTTATATGACAAAGAGAACTTAAGCCTTC CTGTATCAGGTCCCACTGAGTCATAAGATTGTGGCGACTCTTGGCTATAAAAACACAAAT TCTTTAACATTGCTGTGGTACAGTTTGTCAGTGACAGAGCCTTACTAAGTGCCTCTGAGT TGCTCTCCCTTTCACTAATTCTCACATCATCAGAGAGTTTACCCATGTCAAACTTGAAAT TAAGGTTCCTTGACTTATAATGAGTGTACCTCCCCATAAGTGCATTTGCATTCATGATCA AGAGTATGGACTTAAAACACTGAAAGTATTCATGGTTAAAGTATGTCCTTGTTGATACTG CCTTTGTCAACTCTCCAATAGGACACTGTGACATATGTCCACAGTAAAAATACTTCTCCT TCAATCTACTATTCTCATAGACAGCATTACAGAATTCTTCATAAAATTTACCTGGTAAGA TATCATAATCAAAATCCTCAACCATGTGATTAGATAATTCACCCTTAATCAACCTAATGT AAAACTTATTTGAGACAATCTCATCTAGATCATTTATTGACGGTTGGCCATCACCATTAG GGCCTGAGCCTGGCTTGGTGGGTTCCCTATACTGATCGACAATTTTTTCAACAGTCTCTT TTAGCTGATCAAAATAATCGCTTGCACCTCCATCGAGCAAAATTTCATCTAGGTCAGCTC CATCAACATCACTTTTGAGCTGCCCAGATCCTAGAACCAAATTGCTCATTGCCTGCTGAA CTTTGTATTCATAGTCCTGCTTGTTGAGAAGGTACTTTCCTTTTCTTGAGAAGACTTCAG TGAGCTGCGACACGGCCAGTGCTGTGAGCTTATTGAAGTCATAGTTTAATATTCTAGAAC CATCTGTGTACTTATTAACAACAACACTTTTGTTGCTGGCTAAATCCAAGGCAGTGGCAC AGCCACTGGTGATGAGAGGATCTTTGATTTCCCTTTTTACTTCCCTCTCCTTAAATAGTG AACCATTGTTGAAAGAAGACGTAAGAAGGGACAAATACTTCTTTGAAACACCAGGCCTTT TATAGTCTGGTCCCTCGACACTTGTGCATCCATCTTTACTTAAAAACTTTTTTGCATTAT AGACCATGTCGTCCAATTCTTCCTCGGTAGCTGTATCTGCAGGGTTAGTGCTCACATGAC CAAATTTCACCTTTGGTTCCAAAAACTTCTCAAAACATTTTATCTGATCTGTTAATCTAT CTGGTGTTTCTTTCGTAATGAAGTGGCACATGTAAGAAATATTCAAAATGAACTTGAACC TATTGGTCATCATGCTCTTCACATCTTCAGATAAAACTAAACTCATTAATGTCCTTATTA ACCTATAGAGCAGGAACTCAACATCAGTGATTAATTCTTCCCTTATTTTGTCAACGAGGT CCTTATGATGATAATCTGACACATAAGCCATTACAAAATACCTAAGATTTTGGAGGAGCT TTTGAGAACGTTTACTGGGGTGAGCTAAAATTAAAACCAGGATCATCTTTGTCAAAAACT TTATGTTGTTCAACTGCCCTTCCAGCTCACTGCAATCTTCTATCCAAGAAATCATAGTGC TTATTGTTGTCTGTAAAACCTCAGCTGAAAATATTGCTGGAAAATATCTTTTAGGATCAG CGTAAAATGAGCACACCTCACCAACTTTGTTATCATTAATAGCATAGCACTTCGAGCATT CCCCTGTTTTTTGATAAATCAGTTGGAATTCAGAGTTTCCTAATGAAAACTCTTGACAAT ATGCTTCTTTGCATCTGACCACCTGATACCTTGCGGGTCCAAACTCATTCTGCCTCAATT TTACGGTAGAAGAAGTTTTCATAGAGTTCACCAAGGCGAGGCTCAATGAAGAAAGTCTCT CTAAGTCAGTGGTTCCCAGTAGTTCCACATCCCCCATCACATAAGGGAATGTTTCTTCCT CTGTTCTCTGATAACTGATTGTGGGAACAATTCCGGAGACATCAAAATCCATAATCAAAT CATAACTATTAAGGCAAACCACCTCCATGTCAATTTTATAGTGGTCTACACTGATTCCAA CATCCTCTAAAGCAGTGGTGGCCTTCAAAATGGTTTTCTGGAATATTGAATTGAGAATTT GGTTCTTACTCAAACACTGGGAGGACTGTGTGTTTCTAGATCTCTCAGCCTGTTGCCTCC GCTCAACCCATTTCTCAAGATCCCTTTTTGTTGACTCTAAAGAAACTAGTCTATCATTTA CACTTAAGAAGCAAGACCCCAACCACCCTTTTAAACACTTTTGTTTCATTAGGTCATACT TGCTTGCAAGGAGAATTAATGCATCAAAAATTAATAGAAGTTTCCTCCTTGTGTTCAATA TCCTCAAAGATTTTACTTTATTCAGGAATGATCTCCAGCATTGAACCTGACATTCTCCAA TGGTTTGGTTTTCCCTCTTTTCATTCCCCTCCTCAATGTTTGCATACAGAAATCTCAATA TTGGTGATGCTCTCTTGAACTGATAAATCAAGTGTTCGATATTGTCTTCTGCAGCTACCT TATCAGCGTACAAATTATTAAGTTCATTAAGTAATTGGTTCTTATCAACCTTCAGAAACT GACCTTCTATCTCTCCTTTCCTCAATCTGTTCCTAAACACTTGATACTCCTCTTCGATCT GCAGCTTTACCTCATGGGCTGTTAACTTATTATTGATGCCTTGATGGCATGAGGCAATCA CTTCCTCATAATGATTGGAGCGATTGTCCATCAGAACATTTAAACTCTCCACCCCTGATA ATCTACCCGAAGTCATGGATAAAGATTCACAGAGTCTACTATACTCTGATTCTTCAAAAA GTGAATTACTCTCCTGTGCATACTTTAAAAGTGAAAAGAGCGTATCCCTCAACTTGTCAT TGACCCAGTCAGGTATTTGTTCATTGTAGAATGATGTCCTCCCGTCTATGAGTGGTATTA AATTGATATCGACACTCTTCAAGTCTTCTTTCAATTGCTCTAATTTTTTGAAGTCCTCAA TGTACTTCTGCTCAAAGTTAGCAGGAGATGACCTAACAAAACACTCCAGCAGTATTAGAA CATTGCCCGTCAGTTTGTAACCGTCCGGCACCACAAAACATAGTGAAGGTGTCAAGATTC CATGGTCATGGAGAATTCTTTCCACAGATTTGTCCTCACTATTATGCTCGCAACCATTTG CGTTGCAAGAATCAACCTCAATACAGAGGGACAAGAGTTTCAACCCTTCCATTAGTAGCA TCCTAGGCTCTGTCTGTACAAGAAATGCTAACTTCTGTCTAGATAATCTCTCATTGTCCA CTAGATACTTTGATACTAAGTCTTTGACACAGGCTATGTCTTCCTCCATGTCTGGCCACG AGTATGTTGGTCAGAACCCTCAAAACATGTGATCTGCTAGAGCAACAGTTCA ================================================ FILE: tests/input/TestOrderAndOrient/expected.refsel.ebov.stats.tsv ================================================ ref_num ref_name base_count rank 0 KX009902.1 18502 1 1 KM034550.1 18572 0 2 KT765130.1 18485 2 ================================================ FILE: tests/input/TestOrderAndOrient/expected.refsel.lasv.stats.tsv ================================================ ref_num ref_name base_count rank 0 gi|23343509|ref|NC_004296.1| 10671 0 1 gi|695316025|gb|KM822128.1| 6192 3 2 LASV-G502-S-Sierra_Leone-2009H 10655 1 3 GU481072 9213 2 4 nomatch.1|LASV-sized-blank-S 0 4 ================================================ FILE: tests/input/TestOrderAndOrient/ref.ebov.gin.fasta ================================================ >KT765130.1 Zaire ebolavirus isolate H.sapiens-wt/GIN/2014/Makona-Conakry-CREMS-1022, complete genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAA TTTTCCTCTCATTGAAATTTATATCAGAATTTAAATTGAAATTGTTACTGTAATCATACCTGGTTTGTTT CAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGT TGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCC AACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGGGAA TTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAAAAC ATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAA GTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCG TTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCA ACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTT TGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAG GGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGT ATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGCC GGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGA AGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGT AGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAA GGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTT TTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCT CCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTG GCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATG GTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGT AAATGTTGGAGAACAGTATCAACGGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATAT GCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAGCTTCCATC AGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGCCAA GCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATT CCCTTTCCAGGACCCATCAATGATGACAACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGG ATACGACCATTCCCGATGTGGTAGTTGACCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGA AAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCA GTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGAC AGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCCACT CACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACCCCAATCAACGAA GAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTTGCCTTCCGCCCTTAGAGTCAGATGATGAAG AACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCA CTCCGAAAAGAAAGAACTCCTGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAAGAACCAA GACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCTCCACATTCTAAGATCACAGGGGC CATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAA AGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAAT GATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAAT TCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCT AACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAAT AAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGA GTCTTAATGCAAATAAGCGTTAAACCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCGATT TATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTT TATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGC ACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCA GGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGA GCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGC TACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAA TTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAAC CATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATG GCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGA CAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACC TGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAA AGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTG ACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCA ATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAG GCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCC AAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTT GCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAA ACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAA CTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCAA TTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAAGATAAATGTAATAGGAGCTATAC CTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCT ACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATAT GAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCA ACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCAT CGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATC AGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATT TGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTG CTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGG AATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCA CCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTG CTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCC AAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCG GAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATA TCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGG ACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACC ATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAAT TGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAATAATC CGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTCTTTTCTT TCGTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCA TGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGC ACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGAT TGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTC TAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATT TGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCTTCACTAGAAGGATA TTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACAT CATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAG TACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGA TCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCT TCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCT TGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGG TGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTG CTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGT TGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAAT GCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTA ATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACA GTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATT TGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCAC TAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAG AGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAG AAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCT TGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAATACA CCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAACGACA GCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAGAACACCAACACGAG TAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCCAAACTACAGCGAGACTGCTGGCAAC AACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATA CTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCA ACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGG ATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTTTAA TCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGA GCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGC CACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATC AGATTATTCATGATTTTGTTGATAAAACTCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATG GAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGCTTTATTCTGTATA TGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAACTCAACCTCAAATCAATGAAACTA GGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAATGATAACATAATACACTGGAGCTTC AAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCT AGCTATATCTTTAAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTC TTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTG TAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCATTGGTAAAAAAGT CAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCTTCATATGAGAGAGGACGCCCCCG AGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAAT TATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGA GAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTG TGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTAATC GCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAA ATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCCAAAATTACCTTGTTGACACTGATCAAGACGGC AGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAAATTAAGGGCATTGTTAACTCTATGT GCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAG GGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAG TTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAAT ATCGCTCTCCAGTTACCGTGTGAGAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAAT CAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGG CTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTTAATC AAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAA TTGCCTTAATATATAAAGAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGC TCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACTCTA CAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATGATCTCTTAAAATA TTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCTATGGTATTCGCTAT TGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAGGAGGTATATTGTGACCGGA AAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCC CCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTT TAGCTGTATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACACATC TCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAGTGCATAAATCTGG GCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACATTACTTTGAGCACC CTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGT CTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGG GACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTT CTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAA GGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAACCTAT TTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTGTGGGCACTGAGAGTCATCCTTGC AGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATC TCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGA GCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGT CGTGAACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGA ACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGC CGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCGACACGAATGCA AAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGGGCTAAC TCATATATGCTGACTCAATAGTTAACTTGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAAT AAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTG ACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCT TTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTGTAACTAAACCCGC AGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCATACTCGTAACTAACATTAGATAA GTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGA AGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTAT CATCACCAATTGTATTGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCT TAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTTACC AAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCAC TATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATTATTAAGTACAC AATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGAC CACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATG ACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGA TGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCACTG AACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAAGAAGCGGTTCAAG GGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATGTGCAAAGATTTAATTACATGTCG ATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCCAGTTTGCTCTGATTATCCCAATTTT AAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAA TCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGG CCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCACTA AAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAAC AACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCA AAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATCGTGATTTTCGAGACATATTGTGTT TTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGAA ATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACT GCTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATT TTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTGG GATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTC TATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATATCGGAATTTTTCTTTC TCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTC AAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTAC GGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGTGAG CATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGGTATGAAT TTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTA TACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCGCATAACCTCACACTGGAAAAT CGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAA AACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGCTTTAAGTTGCGCTC AGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAG CAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTG GAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTT GAATGGGGTCCAATTGCCCCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTT GATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATA TCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCT CGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCA TTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGA ATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGA TTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGC GGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCC TAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTG TAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCGAGC GGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACA ATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTGCAAAGGTGGAGTCTATGGTTTAG TTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCA CAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCAT GTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAA GCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAATGCA TCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGGC AACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAAC ATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTA AGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATC AATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAA CACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTTATA AATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAGTATAATCGTG CTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAGTACTTAACATACACATCTACATT GGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTC AATTGCAATATCTCATTTGATAACCCATTTTTCCAAGGCAAACAGCTGAACATTATAGAAGATGACCTTA TTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAA TAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCC AAAATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTA AGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATT GCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGATTAATGAGTATTGATCCCCATTTT TCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGT CCATTTCATCTTTTCTTACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGAT AGTATATCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTG GTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACATCCTCACGACAATC TTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGGAGGAGCAGGCA CAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGGATCAAGCACAAACAACAGTGATGGT CATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGC AAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTC ATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAATGTG AAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACATCGTCTAGTCCTAC CTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGATGAGAT ATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTC TCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGG CAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTCTTCAACAC GCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCT GTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACA TAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTTATAACCATGGA TGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTACATAAATTGATCTTACACCAT GTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGC TAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTC TAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTC AGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATT TAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGT ATTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACTAGTCTCTGTCACTCAGCACTTAGCA CATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACAT ATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTAT TGTACAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTG TGCTATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTAC ATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCAGATGG TCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACTTGTAAAGGTTGGTTATCAACATACA GATTATAAAAAACTCATAAATTGCTCTCATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGAT AACGAAAGGAGTCCTTACATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAATTCACAA TACAGCATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATAA TTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATATCTTGCCAG ATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTTTAAGATTAAGTTTTTTAT AATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGATT AGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTCCATTCAGAATGATAAAATTAAAAGAAA AGACAGGACTGTAAAATCAGAAATACCTTCTTTACAATATACCAGACTAGACAATAATCTTCGTGTTAAT GATAATTAAGACATTGACCACGCTCATCAGAAGGCTC ================================================ FILE: tests/input/TestOrderAndOrient/ref.ebov.lbr.fasta ================================================ >KX009902.1 Zaire ebolavirus isolate Ebola virus/H.sapiens-wt/LBR/2014/Makona-CDC/NIH-1122, partial genome TTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAAT TGAAATTGTTACTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGT CTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCCTTATCACAT CACAAGTTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAG CATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACT GGAGACTCAACAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCA CAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATG GATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAG TGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTT TCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTT TTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATG GAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGC CATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCG AAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAG GACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAAC AAATTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGAT GCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATC ATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGA GGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTT TTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAG TCGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGC AGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGAT GATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACG CGATGGTAACTCTCAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAA AACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCT GGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGATG ATGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTTGGTCCTATT CGATCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAA AACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCC CTCGCAGAACAATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTC AACCAGCCCTCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACG TCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCA CTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACA AGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAG GAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGG ATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATA TCCACCATGGCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAA TTTTATTGGCCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCA TGTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAAT TTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTT ATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAG CCATAATGGTAACTCAATATCTTAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTA CCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAAC CTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGC TGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAA TGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACAT CTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCG AAGATGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACAT TGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAG TCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCT GAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTG AGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGG TAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACC ACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATG ATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAG CAATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCC CTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTC GAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGG TTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCC CTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACA CTTGTGAGTATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTA GCAGCTTTAAAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAAC CCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCA TCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATA TATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTC CTGACACCGGAGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCG ACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATC GGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTAC AGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCA ATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGG AAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTG ACAGCACTCAAACTGATCACTCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAA ATGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGG GAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGAC TTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACA AGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACAT TGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCT CCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCT TCTCAGGGATAGTGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATAT ACTAAAGGTGCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATAT ACCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCA ATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTTATCCTCAAATTGCCTACAT GCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAA GTTGTTCACAATCTAAGTACAGACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGA CAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAA TTGGATAACCAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATA TTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAA CATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACAAACTAGTTTG TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCA ACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATG AAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACC AGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCA TGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTA TCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTT CTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACC ACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGA CCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAG TGGGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGG GAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGC TGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAAC ACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAG GAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAAC CAAAACAGGTCCGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAA GTTGGACAACATCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAG CCGGACCCTTAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGAC AAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGT GCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGA GAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTAC TCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTAC ACAGAGGGGCTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTC AAGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAAT TGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACAT GATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGG ACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGG TGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTT CACGGCAAAACTCAACCTCAAATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTA CTTGACAAATGATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTC ACAGTTAATCATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAATGATAAACTTGATGAAGAT TAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTT AATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCAAACCGGTAGAATTTAGTTG TAACCTAACACACACAAAGCATTGGTAAAAAAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTT AAATGGAAGCTTCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCA CCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCA CAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAG ACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGA AAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTA AATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTC CCAAAATTACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGA GGATTCCAAATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTG AGTCTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAG TATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACA ATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTC GTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACAT GCTCATGATCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCAC AATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAA TCACTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAAGAGGTATGATATAACCCAA ACATTGACCAAAGAAAATCATAATCTCGTATCGCTCGCAATATAACCTGCCAAGCATACCTCTTGCACAA AGTGATTCTTGTACACAAATAATGTTTGACTCTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAA GTATTTTATGATTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCT TCAAGTTGTGGAGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATA TTGTTCTTGTTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTC TGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATAC TATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCTGTATACCAGTTGCCCCTGAGATACGCCACAA AAGTGTCTCTGAGCTAAAGTGGTCTGTACACATCTCATACATTGTATTAGGGGCAATAATATCTAATTGA ACTTAGCCATTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAG AAGCCCACCTACAACGAACATTACTTTGAGCGCCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAAT CGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGC AAGACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGG AGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTA TTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGAC TTTGCCCCTGCATGGTCAATGACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTG AATCACCGCTGTGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTT GATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTC AACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTC TCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAATGGATTATTGAGCAGTATTGAAAT TGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCC GACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGA AAGCATTTACACAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTAT CTAACTAAGATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACTTGACATCTC TGCCTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACA GATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAA ATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATATTAATAAGCATTTTATCACTAGAAATCC AATATACGAAATGGTTAATTGTAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATAT TACTAACTCCATACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAA AACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCT ACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTTGTCA CTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACA TATATACCGTTTAAAATATGATGTAACTGTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCC ATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGT GCCAACAGTTCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAA AAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGC AATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATC GAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGT TTTTTGGAAGATCCCAATTTCACTGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGG TATCAGACATCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATG TCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGT TGAGGACCCAGTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTAC TTACTCTCCATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAA TTCAATTGTGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCA CACCCTGGAAGAAATTACAGAAATACGTGCACTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCAT AGAACATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGG GGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATT ACGCCCTATCGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTATTTTGATAGT CAAGGATCTTGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAA ATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTATGGGAATTTTACCACCTTGACCATCCTCCACT TTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACA TGCTGGGATGCAGTATTCGAGCCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTG TACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGA GTATCTACTACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACT TTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTG CTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGC ATCATGGCACCACACAAGTGATGATTTCGGTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGAT TTAGAGAAATACAATCTTGCATTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCT ATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTA TTATAATCCACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGG GGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTT TAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTT ATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTG GCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATT CAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGC TACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGTACT GCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGT TCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTTAATAAAGGTTTTGACCTTGGACAGTTAAC ACTCGGCAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTA TCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGT TAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAA CTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCA TTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTC ATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCG TTTCGCAGCCGATATATTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGA ACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGA AGATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGC TTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTA GAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAAC CCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGT CAAGAAACATATTGTTAGTGCATGGCCAAATGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCA TACATTGGATCAAGGACAGAAGATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCT TAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCT AATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACAT TACTCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGA GTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGC ACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGA AACACTGAGGCTACAGATATCCAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGG TACCAGCTCAGTACTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATT GATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCATTTTTCCAA GGCAAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTA AGACCATCATGCAATCAATTATTTCAGATAGCAATAATTCGTCTACAGACCCAATTAGCAGTGGAGAAAC AAGATCATTCACTACCCATTTCTTAACTTATCCCAAAATAGGACTTCTGTACAGTTTTGGGGCCTTTGTA AGTTATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAA CTACCCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGT TATGTCACGATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGA CTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAGGAATGGA TAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCATTAGAGGGTCAAAATCCAACACCTGT TAATAATTTCCTCCATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACT ACCATAAATGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCT TCCATGCGTCATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTC TTCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACCACCAGAGAT CCACATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATAAAAAGAACGACAATTCCAC AAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCC AAAACTAAATTTCGATAGATCGAGACACAATGTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAA GGTCATCAAATAATCTCACATCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAA CGTCATCCAATGAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGA TACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGG GAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTC AGAAATACCAAGTTAAGACCTTATTCTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGT ATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATT ATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAA GGCTACCTAGGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATT GTACGAAGCTGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAA GTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGT ATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATC AACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTG CAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCT ATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAG AGGTCCACTAGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAATGAT TATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAA AACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACAAGCATTAAAACATAATGGGACATGGCAAGC TGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGT GAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAA GGCTGACAGGGCTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTAT TTTGATACTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCA TCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTATACACTATATTTGG CCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAGCATGTGTGACATATTACTGCTGCAATGAGT CTAACGCAACATAATAAACTCCGCACTCTTTATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTT ATTGATATAGTAATGTTGTATCAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTT AAAACAAAACTGATCTTTAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATG GTGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACANNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNATGATAAAANTNAAAGANAAGACATNACTGTAAANNNNGAAATACCTTCTTTAC AATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGGCATTGACCACGCTCATCAGAAGGC TCACTAGAATAAACGTTGC ================================================ FILE: tests/input/TestOrderAndOrient/ref.ebov.makona_C15.fasta ================================================ >KJ660346.2 Zaire ebolavirus isolate H.sapiens-wt/GIN/2014/Makona-Kissidougou-C15, complete genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAA TTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCATACCTGGTTTGTTT CAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGT TGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCC AACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAA TTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAAAAC ATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAA GTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCG TTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCA ACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTT TGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAG GGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGT ATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGCC GGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGA AGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGT AGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAA GGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTT TTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCT CCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTG GCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATG GTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGT AAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATAT GCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATC AGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGCCAA GCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATT CCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGG ATACGACCATTCCCGATGTGGTAGTTGATCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGA AAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCA GTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGAC AGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCCACT CACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACCCCAATCAACGAA GAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAG AACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCA CTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAACCAA GACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGC CATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAA AGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAAT GATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAAT TCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCT AACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAAT AAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGA GTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCGATT TATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTT TATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGC ACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCA GGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGA GCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGC TACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAA TTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAAC CATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATG GCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGA CAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACC TGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAA AGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTG ACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCA ATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAG GCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCC AAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTT GCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAA ACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAA CTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCAA TTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAAGATAAATGTAATAGGAGCTATAC CTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCT ACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATAT GAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCA ACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCAT CGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATC AGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATT TGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTG CTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGG AATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCA CCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTG CTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCC AAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCG GAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATA TCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGG ACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACC ATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAAT TGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAATAATC CGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTCTTTTCTC TCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCA TGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGC ACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGAT TGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTC TAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATT TGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCTTCACTAGAAGGATA TTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACAT CATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAG TACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGA TCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGCGACTAAAAGATGGGGCT TCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCT TGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGG TGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTG CTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGT TGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAAT GCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTA ATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACA GTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATT TGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCAC TAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAG AGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAG AAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCT TGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAATACA CCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAACGACA GCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAGAACACCAACACGAG TAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAAC AACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATA CTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCA ACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGG ATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTTTAA TCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGA GCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGC CACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATC AGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATG GAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGCTTTATTCTGTATA TGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAACTCAACCTCAAATCAATGAAACTA GGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAATGATAACATAATACACTGGAGCTTC AAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCT AGCTATATCTTTAAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTC TTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTG TAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCATTGGTAAAAAAGT CAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCTTCATATGAGAGAGGACGCCCCCG AGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAAT TATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGA GAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTG TGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTAATC GCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAA ATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACACTGATCAAGACGGC AGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAAATTAAGGGCATTGTTAACTCTATGT GCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAG GGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAG TTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAAT ATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAAT CAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGG CTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTTAATC AAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAA TTGCCTTAATATATAAAGAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGC TCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACTCTA CAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATGATCTCTTAAAATA TTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCTATGGTATTCGCTAT TGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAGGAGGTATATTGTGACCGGA AAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCC CCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTT TAGCTGTATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACACATC TCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAGTGCATAAATCTGG GCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACATTACTTTGAGCGCC CTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGT CTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGG GACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTT CTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAA GGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAACCTAT TTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTGTGGGCACTGAGAGTCATCCTTGC AGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATC TCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGA GCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGT CGTGAACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGA ACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGC CGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCGACACGAATGCA AAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGGGCTAAC TCATATATGCTGACTCAATAGTTAACTTGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAAT AAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTG ACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCT TTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTGTAACTAAACCCGC AGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCATACTCGTAACTAACATTAGATAA GTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGA AGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTAT CATCACCAATTGTATTGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCT TAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTTACC AAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCAC TATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATTATTAAGTACAC AATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGAC CACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATG ACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGA TGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCACTG AACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAAGAAGCGGTTCAAG GGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATGTGCAAAGATTTAATTACATGTCG ATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCCAGTTTGCTCTGATTATCCCAATTTT AAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAA TCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGG CCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCACTA AAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAAC AACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCA AAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATCGTGATTTTCGAGACATATTGTGTT TTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGAA ATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACT GCTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATT TTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTGG GATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTC TATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATATCGGAATTTTTCTTTC TCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTC AAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTAC GGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGTGAG CATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGGTATGAGT TTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTA TACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCGCATAACCTCACACTGGAAAAT CGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAA AACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTC AGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAG CAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTG GAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTT GAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTT GATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATA TCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCT CGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCA TTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGA ATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGA TTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGC GGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCC TAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTG TAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCGAGC GGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACA ATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTGCAAAGGTGGAGTCTATGGTTTAG TTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCA CAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCAT GTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAA GCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAATGCA TCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGGC AACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAAC ATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTA AGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATC AATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAA CACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTTATA AATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAGTATAATCGTG CTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAGTACTTAACATACACATCTACATT GGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTC AATTGCAATATCTCATTTGATAACCCATTTTTCCAAGGCAAACAGCTGAACATTATAGAAGATGACCTTA TTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAA TAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCC AAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTA AGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATT GCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGATTAATGAGTATTGATCCCCATTTT TCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGT CCATTTCATCTTTTCTTACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGAT AGTATATCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTG GTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACATCCTCACGACAATC TTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGGAGGAGCAGGCA CAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGGATCAAGCACAAACAACAGTGATGGT CATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGC AAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTC ATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAATGTG AAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACATCGTCTAGTCCTAC CTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGATGAGAT ATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTC TCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGG CAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACAC GCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCT GTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACA TAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTTATAACCATGGA TGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTACATAAATTGATCTTACACCAT GTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGC TAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTC TAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTC AGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATT TAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGT ACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACTAGTCTCTGTCACTCAGCACTTAGCA CATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACAT ATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTAT TGTACAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTG TGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTAC ATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCAGATGG TCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACTTGTAAAGGTTGGTTATCAACATACA GATTATAAAAAACTCATAAATTGCTCTCATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGAT AACGAAAGGAGTCCTTACATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACA ATACAGCATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATA ATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATATCTTGCCA GATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTTTAAGATTAAGTTTTTTA TAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGAT TAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTCCATTCAGAATGATAAAATTAAAAGAA AAGACATGACTGTAAAATCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAA TGATAATTAAGGCATTGACCACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATCCCTGG AAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA ================================================ FILE: tests/input/TestOrderAndOrient/ref.ebov.sle.fasta ================================================ >KM034550.1 Zaire ebolavirus isolate Ebola virus/H.sapiens-wt/SLE/2014/Makona-EM095, complete genome GAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGT TACTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGG GGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTC CGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTC ACAGTCAAACAAGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCA ACAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCC GAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCAC AAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAG TAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAG TGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAA AGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGC GCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGA AGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTA GTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATAC AATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTT GATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATT TCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTAC AAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTC CTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTT TCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAG CCCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGA GGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAA AAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAA CTCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGG ACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAA GATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGATGATGGAGGCT ACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGA CGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAA AAGGGCCAGCATACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAA CAATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCC TCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTT CCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCC CACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGA CCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTAT CGCCACATTCTAAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTG TAGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATG GCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGG CCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAAT GGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGT CTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACT AGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGG TAACTCAATATCTTAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGC CTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCAT CCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAAC AAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCC CTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGA TATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGC AACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCAT TGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAA TGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTT GCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATT GGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGA ATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTA ACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGC CTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATT GGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAA ATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACA TTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATG TGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAG AGGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGT ATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTA AAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAA AAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAA CGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGC CATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCG GAGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCA GCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAA AGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGAC TCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTG TCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGC TTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTC AAACTGATCACTCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGT TGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGG GAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATC GTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCG GTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGA CCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGT CTTCCAGCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGA TAGTGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGT GCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTT TAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGA TTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATC TGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCAC AATCTAAGTACAGACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCG TAATCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAAC CAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTA CCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCA TCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAA ACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTG CCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTG AATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCC AGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGA GACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAG GAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTC ACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGA TATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCC AACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAG GAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCC TTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAA CGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAAT GAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAG CTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGG TCCGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAA CATCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCT TAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCA AAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGC GGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTC GAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGA AGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGG CTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCC AACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCT GCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACC AAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGG ACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAAT TGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAA ACTCAACCTCAAATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAA TGATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAAT CATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAATGATAAACTTGATGAAGATTAAGAAAAA GGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAA GGAAAAAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAAC ACACACAAAGCATTGGTAAAAAAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAG CTTCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCG AGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGC GTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTC CGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAAC TGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACT GCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTA CCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAA ATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTG TGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAAC GATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAAT TATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCA GGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGT CTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCG TATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCA TTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAAGAGGTATGATATAACCCAAACATTGACC AAAGAAAATCATAATCTCGTATCGCTCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCT TGTACACAAATAATGTTTGACTCTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTAT GATTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGT GGAGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTG TTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATGAGAA TAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATACTATTTCAGG ATAGTCCAGCTAGTGACACGTCTTTTAGCTGTATACCAGNNNNNNNNNNNNNNNNNNNNNNAAGTGTCTC TGAGCTAAAGTGGTCTGTACACATCTCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCA TTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACC TACAACGAACATTACTTTGAGCGCCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAA GGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGA GAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGG TTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGG TATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCT GCATGGTCAATGACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGC TGTGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACC CTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGA ACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTA TTAACAAATTGGATGCTCTACATGTCGTGAACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCA AAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCG GCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTA CACAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAG ATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACTTGACATCTCTGCCTTCAT AATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCC TCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGAT TCCAAGACAACATCATAGAATTGCTTTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGA AATGGTTAATTGTAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTC CATACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTA TTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACAT ACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTTGTCACTAGAGCTT GCGGGTTGTATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCG TTTAAAATATGATGTAACTGTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTC ATAGTCCCAATTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGT TCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGG TGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAATGAATTT TTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACT CTAGATCAACGTGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAA GATCCCAATTTCACTGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACA TCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAA TGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCC AGTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCC ATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAATTCAATTGT GCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGA AGAAATTACAGAAATACGTGCACTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTG ATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTG TGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTAT CGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAAGGATCT TGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCC CTCCGTTGCCAATGATTAAAGAACTGCTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAAC CAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGAT GCAGTATTCGAGCCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAAC AATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACT ACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAA TTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCAT TTCCTAGCAATATGATGGTAGTTACGGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCA CCACACAAGTGATGATTTCGGTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAA TACAATCTTGCATTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTA AGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCC ACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGTCATATG GGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAA TTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTT CCCCTTAGAGACTGATGCAGGCGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGC CTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTA TCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAAT GGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCTTTTGAG CGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGG TGAGAATCTTGCAATATCATCACCTCGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAA ACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTG AATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTT ATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGC CATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTTCTGCGC CAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAG CTGACTTCGAAGACGAAATGGTTTGTAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGC CGATATATTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACA TTATTAGCCTCTAAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACAT TGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCA AATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGA CCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAAC AATGTCCGCAGTGTTCAAATGCCAAGCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACA TATTGTTAGTGCATGGCCAAATGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGA TCAAGGACAGAAGATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGG CCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACC ATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCGGGA AATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAG CAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAG CAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAG GCTACAGATATCCAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTC AGTACTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGA CAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCATTTTTCCAAGGCAAACAG CTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTAAGACCATCA TGCAATCAATTATTTCAGATAGCAATAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATT CACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTAT CTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAA TTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACG ATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGAT GCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAGGAATGGATAATTAATC GCGGAACAATTGTCCCTTTATGGATAGTATATCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTT CCTCCATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAAT GATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGT CATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGG ATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGAT GGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAGAACA CGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAA TTTCGATAGATCGAGACACAATGTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAA ATAATCTCACATCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCA ATGAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGT TTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAG AATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACC AAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAAT GACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAAC AACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTA GGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGC TGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTA AGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGTATTTAATTA AGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACG TAAGATGCCACACCAAAACCATCTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAA CGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCC TTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACT AGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTATAATCAA CAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCA ATGATTATTTAAAATTCTTTCTTATTGTACAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAA GAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGT TTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAG GGCTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACT TGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATCTTGATCT GATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTATACACTATATTTGGCCTCTCTCC CTGCGTGATAATCAAAAAATTCACAATACAGCATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAA CATAATAAACTCCGCACTCTTTATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATA GTAATGTTGTATCAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAA CTGATCTTTAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCC TTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTCC ATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAATCAGAAATACCTTCTTTACAATATAGCA GACTAGATAATAATCTTCGTGTTAATGATAATTAAGGCATTGACCACGCTCATCAGAAGGCTCACTAGAA TAAACGTTGCAAAAAGGATCCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCT TTTTTGTGTGT ================================================ FILE: tests/input/TestOrderAndOrient/ref.ebov.small.fasta ================================================ >ref_4kb TAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGCGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAA ================================================ FILE: tests/input/TestOrderAndOrient/ref.hhv3.fasta ================================================ >gi|59989|emb|X04370.1| Human herpesvirus 3 (strain Dumas) complete genome AGGCCAGCCCTCTCGCGGCCCCCTCGAGAGAGAAAAAAAAAAGCGACCCCACCTCCCCGCGCGTTTGCGG GGCGACCATCGGGGGGGATGGGATTTTTTGCCGGGAAACCCCCCCCCGCCAGCCTTTAACAAAACCCGCG CCTTTTGCGTCCACCCCTCGTTTACTGCTCGGATGGCGACCGTGCACTACTCCCGCCGACCTGGGACCCC GCCGGTCACCCTCACGTCGTCCCCCAGCATGGATGACGTTGCGACCCCCATCCCCTACCTACCCACATAC GCCGAGGCCGTGGCAGACGCGCCCCCCCCTTACAGAAGCCGCGAGAGTCTGGTGTTCTCCCCGCCTCTTT TTCCTCACGTGGAGAATGGCACCACCCAACAGTCTTACGATTGCCTAGACTGCGCTTATGATGGAATCCA CAGACTTCAGCTGGCTTTTCTAAGAATTCGCAAATGCTGTGTACCGGCTTTTTTAATTCTTTTTGGTATT CTCACCCTTACTGCTGTCGTGGTCGCCATTGTTGCCGTTTTTCCCGAGGAACCTCCCAACTCAACTACAT GAAACTACTGTCCGGAAGGGGAAGGTATTTATTCTCGCTTGCAGCTTGTCGCGCGTGTATGCACAACAAA AGCTATATATGTCACCAAAGCCAACGTCGCCATCTGGAGTACTACACCCAGTACGTTGCATAACCTGTCC ATTTGCATTTTCAGTTGCGCGGACGCCTTTCTCCGGGATCGTGGCCTTGGGACATCAACCAGTGGAATAA GAACCGCCGGTGGTCTTGTTTGAACGACGAGTGGCGACGCGTTGTTCTGCATAAGCTCTGTATGCTGATA CATAAACACAGAGTCTGTATCGCTATCAGATTCCCGAACACCTTCCGGTACCCCATACTCCGATACCCTG GACATTGCGGATCCCAAAAATATAATATTAACAGGATTTGCTTATACTTTGCTACAGCTTATATAAATTT ATGTGCGATACATCTTAAGTGCATCCGTACGTTATTTATACATTGCCTGTCACGTGAAAAGACTGTGTTA CCCAATAAAGGTTCTACAAAAAATGCTTTATTGGGTGTTTGTTTAATAGCTATTATCGTAACCCACCCCC GTAAAATCATAAAATGCATGTAATTTCTGAGACACTTGCATATGGGCATGTTCCCGCATTTATTATGGGC TCCACTCTGGTGCGTCCCAGTTTAAACGCCACCGCCGAGGAAAATCCCGCGTCAGAAACGCGATGTTTAT TACGAGTGCTTGCGGGGAGAACTGTAGACCTGCCAGGCGGAGGAACGTTACACATTACCTGTACCAAAAC CTATGTAATTATTGGCAAATATAGCAAACCCGGCGAACGTCTTAGCCTTGCCCGTCTAATAGGGCGTGCA ATGACGCCTGGAGGTGCAAGGACATTTATTATTTTGGCGATGAAGGAAAAGCGATCCACAACGCTTGGGT ATGAATGTGGTACGGGCTTGCATTTACTGGCTCCATCTATGGGTACATTTCTCCGCACACACGGTTTAAG TAACAGAGATCTCTGTTTATGGCGGGGTAATATTTATGATATGCATATGCAACGTCTTATGTTTTGGGAG AATATCGCGCAAAATACCACTGAAACACCTTGTATAACGTCGACGTTAACATGCAACTTGACAGAAGACT CTGGTGAAGCCGCACTTACCACGTCAGACCGACCCACTCTCCCAACCCTAACAGCCCAAGGAAGACCAAC AGTTTCCAACATTCGTGGAATATTGAAAGGATCCCCCCGTCAACAGCCGGTCTGTCACCGGGTTAGATTT GCCGAACCTACGGAGGGCGTATTGATGTAATCACTAAATAAAATACACCTTTTTTCGATTGTACGTATTT TTATTTAAATGTGTAGTTCATAGTCCGCCGACAGCCGCTCGGGCTTTTCCCCCACATACAACATGATCGT ATGCCTCGGATGCACCGGTCCAACACTCCGCCGAGAAGGGGGATTTACAATGACAGTGATACCCAATAGC CGCCAGATGTACACCCAGCTGTCCGGACTCCAGCATCATCTGCTGAGTTGCGGCGCTGAAGGGTGCATCG CATAGGGTGTTATAATTAGCCATTTCCGGTAACAGTCGTTGGGAATTTAGGAGGCTGCAAAACGGCTGTA GGTCAACATACATTGGGGATTCAGATGGTTTATCTCGACGTCCAAGTCCAATCAAAAAAGCGTGTAAATC ATCAGCCCGGCCGCATGTTGCTCGAAGAGCACATAACCTCTTAACACCGTACAGAGGGGATGGCGTCGGT GCATGTGAGTTGGCAGGGCATGTCCACGTTGTTTCCAACGCCAGTGGCGGTATAACTTGTGTAAACGACG CCAACGGGTCAGGTTTAAGATTCACTCGGATGGGTTGACTGCTTTCGGAAGCTCCCGTTGTATCCATTAA TTAAACGTTCGGTACACGTCTGGTGTGTGTTTTACCCGAATCAGAGACGGAATTGCAAAGATATTGGTTT GAAAGCAATGTAATCCCGCCCATATATCCCCAACGTCGCCTTAAAAACTCCCACAATATTACATTTTTAT TAGTCTTTTATTAATATAGAATCACATAAACAATTGATAAAATCAAGGGGTGGTGTATAATGATTAAAAA TATAAATTGATATGTTTTACAAGCATGAAATAGGTATTTACTATTCTAACAGGTAAATATGCTTAATGAT TAAAAATACAAATTAGTATGTTTTGACAAGCATGAAAAAGGTATTTTTTATTTTAGCAGTTAAAGGTACT ACACTTAAAATATTTACCGTATGGACGGGCGTCAGAAAGATGCCCGGCCCAAGTTGAGAGGGTACATTCA ACACGACCACACTCGCGTTGGTGGGTGATTAGGGCCTCTAAAACACCGGCCAGACATGACCCGGGTGTAT ATTCTTGTAACACTTGAACGTTACAACTGATATCATCATATTCCACAAATTTAGAGCCACGGACAACTAT ATTAGCAATGCGGGCAATCATAACAAACATATAAGTAGTAATACACGTGATATCACTAAAACGTTGCTGG CGCAACAGTTCGGGGAGAGTACGAGACCCCAAATCGTTGTCCCTGTTTAGAAGAAGACATCTTACAAAAG GCCCCAGCTTTAACTTTAAATTCTCCAAAAGTGACTTCGAGGTTGCAACAATGGGATTATTTGTGTAGAT GGGCAAGTTTTTTGCCGCTAACATTTTAATCCACGTTAACAGTTCATCCGCAGACTCCAACGCTTCAATC AAAGATTCTCCACGTATGACTCTCTCACGCAACGCGCGGGCAATACGTGAGTCCATTTTATATGACTCAA AGGTACGATAAAGTTCATGTCCGTACAACATCAACTCCGGCCAAGATGTGTTTTGTTTTATCCCCGGAAA ACATCCACCGGAAGCCCATGAATCACCCTCTTGTATTGTGGCATATCGGACTACCAGTTTTTCAATTGTT TCATCTAAATGGCGTACCGAGTCAATGGTCACGCTGGCTCCCGCGGTGGAGACGACTTCAATAGCACGGC CCGTAATTCGATCGACCGGGATATCATACTCTTTTCGAATACGCTCTCGGCGGGCGTCTCTCTTGGAAAA TCGCAACCTGTACGATTCGTCATGTGTCTGATCATTTCTTTCTCCCGTGGTCATTGCAGGAGGCGTTGTA GGACGCCGTCTTCGATTTGACAGGGATCGATCACGGTGTTTTCTTGAACTTTGAGTGTTATAAGATCTGG ATGATCGTCGATGTCCCCGTTCGATGCGTGCATATCCAGTCTCCACGTCTCTTCCTCCATGATGGTTTGA ATCGGGTAATACAACAACCAAAGTTTTCGGGCGATTGTGGTGGTAGCTTTCACGCCTTCCGTGCCTTCGT TTGGAATACCGTGGATTATATGCTGTATCTGCAGTACGCTCCACATACACAGTTCTAGACGTTGTGGAGT CCTCGCCTGGAGTGGAGCCAATAGCTTCATCATTTGCCCAATCGGTGACTTCCAATGCAAAGTCATCCGA AGGTTCGTCTGGTAGCAAATTCATAAAGTCTTCACAAATAGTAGACACGTCTGGGTCGGTTGGAATTGAA GCAGAGGCCATGGCTGCAAAATATCTGACAATTGCGTGTTTGCAGTTGCCTGTATCTTCCGCCAATGTTG TAGAATTTATAGGCTCACCCAACCCCGCAATGGGCGTGTTTAGTCACATGATTAATGCTTCTGGGAGTTT TCACTTTCCCCAAACAAGCTTACCTGCACCCTTTGTTCGTAATGCATAAAAATAACCACTGCTATAGCAA ATATGACGATATAAAAACATTTTATAGCAAGGCCGGACATTACTGTAGCGCAACATGTTGTGCATATACC ACGTATTCCCCCCGTATTGATATGATTTAAATGATTATCCTTGGTTGGTTTTGGTCTAACATAAGATATA AGCTCTACTATAGCGAGCGTGCATACAACAACCCAGGCCAGAATCCGAATGTATGTGGGGTATAATAACG CGCATGGTGTATATGCAACGCCAAGCGTTAAAAGCACAATACATCCAGATGATATATGAGCGATAACCTC CAAAAGCATCAATAACGTAACACCTTTATGCATATATAAAAAACTTATAGGGTCAGCATTAAATACTTTA CTCATACCATCCCGTCGCATGGAAACATCACATAACAACCTTGCCAACTTTGTATATGGGTAACCAAGAA GAATGTTCGAAATAACCCGTGTTACGTAATTCAGTGAATATGATGTGGGGGATATTAACTCACAGGATGA TCGGAATGGCCCAAACATACGACGTATTCGTCGAAATTGTAAATACATACCATATACAAACCATGCAAAA AAAATCATTTTTAGCTGCACGCACCAAAAATAAGCGTGACAATTACGTGTTCCCAGAACAATTCGAATTT TGTCATGCAAAGGTGTAGAAATAGCGGTTTTTACCATAGTATCTCCTGATAATAGATTTTCCCGGCAGCT GTAATCGTATCCAGATAGGCCATCCAAAAACGTTGAGTGGTTTACAAACGTTACATATATAAGAGAGTTG TTATAAGACCCCCATACAACCGGTCCACCATTAATCACCGTGGTTGCATACACACACTCATGTTCAAACT TTACACGAGCGGTATACCATAGGGTAAAAACAGCATGTCCGCTAAGTAGACACATAATTATAAAATGTTC TGTCTTGATTCCTAAAGCCTGCATGACCCGTGGAAGATGGCAATTCAAGCACGATGTAGTATCACACGGT TGGTGTTAACTCGAAGTTAAATTTGGATAATTAGGTACTTCTAGAGTAAAGATTGTATGCATGCGATTGC TATCGCACTTTGTAGCAAAACATTGTTGTGCAAGCGAAATACACAAACGGTTGTGATGATCCACTCGCAG AGACACAAATGTCCGGGGAGCCGTTCTTCCTCCGCGATGGGGATATCGAAGACAAGTGAACCCTTTTGTT CCGCATATGAGCTGAAATAACACCCAGTCCCTTTTGATGGCGATACACTTTGATGATGTTAAGGTATATT CGCGATCACGCCCGGGGAAATGAACAGCAATATGCTCCACAATAGATTCTAATATTGTGCTGTCGACAAA GGCCTCCAGTGTAAATGCGTCCAGACAAGTTACCCCGCGCTCTTTTAGAGCCTTTGTTAAAGATATTTGC GGGGAGCTAAATATTTGTTTATTACGCGCAACCTTACGTTCAAAAAACTCTGCGTATTCCCCCCCAAGGT TATGTAAAATAAATTGCACTGGAACATTCGACTGCGGTCTTGAATGAAAATGAAAGTTTGCCGGGTTTCT ATGTGATGTCACAAACGCTAATATATCAATACACTGCTCAGGTACAACATAAAATGGGAGTAGTTGTCCA ACCGCCGTCCCTGTGGTTGTTACTTTGGAGAAAAAAGGCAGTCTTAAACTATGTCCGTGGCTATAAACAC CAGTATCTATAAACGAAAAGTCCCGTAAATACGGACCAATATATTCAACAAATTCCCGTTCCAGCAACAC CGCTTGCTGTAATATTTGTGCAAACCCCTTTAAAGTGGAAGACCCCACTAACGCATAGGGATTTGGGATT GGTACGCATACCCTGAAACCTATTTTCTCTTTACAGTTACAGGGTAGAGTTTCATGCAAGTTTTCATTGT TTGATACATCGGCGTGTGTATGGACTTCAGACGTTGTCTGTGTATCAAAAAACCATACATCCTCTGTATA ATTCTCTTCTACACACGTGTATAATTCGCCATTTTCTATGTAAAAATCGATGTCAGAATGGCTGGTTATA TCCAATAAATTATCATCATCCAACACCTCAACGGTAGGTTCAGGACATGCAGTTTTATAAAAATAACATG GGTCTTTGTTAGGGTTTACCACGGCCTTTGGAAAAAGTAATTGCATGGCCGTTAAAATACCATGACGAAA TGCTCGCATGCCGGCATGTAAAATACCCAATGGGATGGGTTTTCTTATATGAAAGTCTACATCAAGTATG AGGTTTGTGATTATAAGATTTGTATTAAATAGCTCATTCCTGTTTATATAAAGCTGATCTTTGGGTATGT TTGATGAAATTTTAGAAACGTTTTTAACAGACGTAGATAATAGTAAAGTCAACTGCATATCTCGTAGTGA AGCGGCAACAAAATTACATGGATTAATTTGTTTAAGGTCCTCCGCAATTAATCGAGCCTCGTGCGGTAAA GTGTAACGGTTTGTTATTGATGACCACGTATCATTAGCAATAACAGCAAATGCTTGGGCGCCGTGAGGCA AGGCTACCCGATATACAGGCATTGGTCCAGTTACCTCAGAATGGCCGATGAGGGCTTCTAATGGAGTTTT ATAACTCAGGATGGATACATCATGTGTGGCTATCCCAGTGGCAGCAGAGAAAAACAGTAATAGTTTTGTA ATCCCCGGGCTCGTATCAAAACCAGTACGACCACTTTGGTTAGGTGTATCGTTTGCAAAGTTGGCTGCTC GTAACGCCTCCGCGGAAACACCCGAATCCTCAAAATTAGACAATTCGTCAAAACCGGGTGGATTTGAGGG AATAGTGGAGGACCATCCATATGGACTAAATTGTTTTTCAATGTTTTCCACACGACGAGTTAGCGTTGTA GCTAGGTCACATACGCCTATAAACTTGCTAGGTTTTGCGGCATACGTAAGACTTAAAGTATATGTTTTAG TAATTGTATATTTATGTCCAATCTCAGGTCCAAGTTCAGTGACATCACAAATTACGTTCTTTTTTATATA GTCACGCATGTTGAGACGAGAACGTACATGATTAAAAAAATTAGCAGTAGCTCTTTTTCCCAGGTTGGAT GATTTTAAGAGGACCGGTTTATTCACAAAATCTGAGTATGTAACCGCTTGTAGGTGGTCTGCGATCTGTT TCCGATTGAAACATTCAAAATGTGCCAGATAAATATAATCAACAAATTCACGGTCTGGAACTTTAAGGCC TTTTCTATCGTTGGTAATATACTCCGATACTGCGTGTATTTCCGTTGTGTCTGTATGTATTCGCTGTAAA ATGTACGATAGAGCATTTTTGGCTGTCAAACCTCGTGTATATGTTGAGGAACAACAAAACATGGAAAGTT TATCAAAAGACAACAAGTCCGAAATATTGTACCCACTACAATTAGGTAATGCCGGGACTTGGTAAGTTAA AAACAAATCTTTAATTGCCTGTAAGTCATATAAGGGGGTTTCCAACGTATTGTAACTTGTGTCCGTTTGT AACAAGTAATAGCGTGTAGCCAACACTAGCGTTTTTTCAGAGGGTCCAAATCGAACAATATACCAAAACG GCGAGCATCCATACCCCCAGTAGAGTCGTCGATATGCAGCCAATACTTGACGTTCGTAATGGGCATATAA TGATGTTAGCTCCTGACGACCAACGGATTTTTTAACTAACTTGCAGAGTGTTGCCTCTGTGATGCATAGG CCGTTGTCCGATAATCCCTTTCGGTTTAAATGGTGTGTTGTTACCATCAGAGTTTGTATAACTTCCGAGT GAATGTCAAACGTCTCCGATATACATAGGGTATCAGATATTATATGCGGATTTAGGGGTGCTCCATACCA TAACGCCTTATATAAAGCTTTAAAATCAGTTTGGGTTTTAAAACAACAAAAAAATATAGGCCAGACCCGG GATCGTACATCTCCAGTTGAAAATCCACCAATTAAATAAAAAATAACGTTGACGTCCCTACTACAAAATA AATGCATTATTTGGTTTTCTTCATCGTTTTCAGTTACTTCACGTGGGCGTTTAGTTGGGATTACTTGCGT GATCTCTTCCCTCCCATTTTTGACAAAGACGTCATCTAAGTCGGGAGTCCAAGTATAACTCACCACATAC AGAGGTTCTGTGCTTATCTGCCCGGTAAGCAACAACAGCGAGTGGGAGATTGCACATCCCTTTGTGGCAA ATAATAACCGAATCGTCGGTTTGGAGGATTTATCCATAGTTCAATACGTTGGAAAGCCAGTCAATCATGC AGACGGTGTGTGCCAGCTTATGTGGATATGCTCGAATACCAACTGAAGAGCCATCTTATGAAGAGGTGCG TGTAAACACGCACCCCCAAGGAGCCGCCCTGCTCCGCCTCCAAGAGGCTTTAACCGCTGTGAATGGATTA TTGCCTGCACCTCTAACGTTAGAAGACGTAGTCGCTTCTGCAGATAATACCCGTCGTTTGGTCCGCGCCC AGGCTTTGGCGCGAACTTACGCTGCATGTTCTCGTAACATTGAATGTTTAAAACAGCACCATTTTACTGA AGATAACCCCGGTCTTAACGCCGTGGTCCGTTCACACATGGAAAACTCAAAACGGCTTGCTGATATGTGT TTAGCTGCAATTACCCATTTGTATTTATCGGTTGGCGCGGTGGATGTTACTACGGATGATATTGTCGATC AAACCCTGAGAATGACCGCTGAAAGTGAAGTGGTCATGTCTGATGTTGTTCTTTTGGAGAAAACTCTTGG GGTCGTTGCTAAACCTCAGGCATCGTTTGATGTTTCCCACAACCATGAATTATCTATAGCTAAAGGGGAA AATGTGGGTTTAAAAACATCACCTATTAAATCGGAGGCGACACAATTATCTGAAATTAAACCCCCACTTA TAGAAGTATCGGATAATAACACATCTAACCTAACAAAAAAAACGTATCCGACAGAAACTCTTCAGCCCGT GTTGACCCCAAAACAGACGCAAGATGTACAACGCACAACCCCCGCGATCAAGAAATCCCATGTTATGCTT GTATAAATATTGAAATAAAAACTAAAAACGTTTCTGGTGTATGTTTTTATTTTGTATATAAAATTAAAAC ATTGCTGGCTGGCGTGGTTATTACATTTAATGTTTTAGTAGAAAATCGACATCGTTTGTTTCTTTATCAG TTGAACCAAATCCACGCGTTCCCCGTTCGCTGGGTGTGGCTATTAGATCTAACGTTTTAGTAAAATACCA TTGTACACCCGGTATGCCACATTTACCGCGGATAGCATAAGGAAATGCAATATTACTTAAAACGTTGTGT TTTAAGTGTATTTGGGTGTTGTGATCTATTAACAGGACCTGTGCAAGACGATCTCCCGTTTTTATACGTA TGTCATCACCCGTGAGATTATATACGTAGAATTTACAGTGTTCTCCTGCAGGCCATGCCGTTGGACACAC GATAATGCCTGATCGGCTTTTCGATGATCTTCCAAAAATATAAGCGTTTATACTCGGATGTTGTAAGTCC CAGTCTCTTATAATCGGTAAGACAATTTTTATAAATTCATTCCTTTTTAAATATAGGTTATATGGTACAC AAATATCATATCCCGCGTCTTCTTGGCGTTTTGGATTGATGATATGTTTGTAGGTTAAGGGAACATCGAT ATGGTATTCTGCAGAATCCCTATGTAAAGGTTGCCCCTGCTGTACCGTGGAAATATCAGCAAATTCAGGT ATAACGGGTTTTTCATAATTTGACGGCGAGTTTGATAAGGGTTGAACTTGTATCGATTTAAAAATTGGAT CCAGATGTTTAAGAACGTTTTTTGGGAGAAGGCGACTTTGTCTTAATTTTACCGGGAACAAGTAGATTGT TAAATGTCCGGGTAAAATAACGGTTACTCCTGGCCGGTAATACAAAAGGGCTGAAATTACTCCTCTGTAA CCCGCATCAATAACTCCGTTGGCGACAAAAAAATTGTCTTCATCAGCAAGGGCAGTATCTTTGCATTGAA TTAACAACAGTGCGTATTCATTGGGAGGCGCCGACTTAACCAACAGCTCCAACTGCTGCATATAAAAACC GCCCCGTGTTACAGATTTTTCAGATGGCAGTTCGAGTTTCTTGTGGTTCCGGAGTAACAACGGTTGATGT CGACTTACTTTATCGTCTAACACGCATTGCAGCGTATCTGCACATTCAGGTTGAACTTCTATTAAAATTG TATCTTTTAAACACCGATTCGGAATAGTTTGGCTACAAAACATATCACCTGTATTTACTGCCGTTTCCAA GATGGGATCAATTACCGCTTCGTTCATATTAATAACGATGCAAATTTTATTTTTTTGTGAAGACAGCAGT GGGGAGCCAAACTTTGCAGAACGGAATTTTTGGCATGCCAGCTGTTCGGCTCGTGGAGTTTATATCGACG GATCAATGATCACCACCCTTTTCTTCTACGCATCCCTTTTGGGGGTGTGTGTAGCCCTTATTTCGTTAGC TTATCATGCGTGTTTCCGGTTATTTACTCGTTCTGTATTACGCAGCACGTGGTAAACCCGTTTGCCTATA AAAGGGGCAGGCGTGTATAAGAGGGCCCCTGTTTAATACGCGGTCTGCCGTGTTTGGATATTTCACGACC CTATCGTTTATTTACGTAATGGCATCTTCCGACGGTGACAGACTTTGTCGCTCTAATGCAGTGCGTCGTA AAACAACGCCTAGTTATTCCGGACAATATCGAACCGCGCGGCGAAGTGTGGTCGTAGGACCCCCCGATGA TTCAGACGACTCGTTGGGTTACATTACCACAGTTGGGGCCGATTCTCCTTCTCCAGTGTACGCGGATCTT TATTTTGAACATAAAAATACGACCCCTCGCGTACATCAACCAAACGACTCCAGCGGATCGGAAGATGACT TTGAAGACATCGATGAAGTAGTGGCCGCCTTTCGGGAGGCCCGTTTGAGACATGAACTGGTTGAAGATGC TGTATATGAAAACCCGCTAAGTGTAGAAAAACCATCTAGATCTTTTACTAAAAATGCGGCGGTTAAACCT AAATTAGAGGATTCACCGAAGCGAGCTCCCCCGGGAGCAGGCGCAATTGCCAGCGGGAGACCAATTTCCT TCAGCACTGCACCAAAAACCGCAACAAGCTCGTGGTGCGGTCCTACGCCATCATATAACAAACGCGTCTT TTGTGAAGCGGTCCGGCGCGTAGCCGCCATGCAGGCACAAAAGGCTGCCGAAGCGGCTTGGAATAGTAAT CCCCCAAGGAATAACGCCGAATTAGACCGTTTGTTAACCGGAGCCGTTATTCGTATTACGGTGCATGAGG GTTTAAATTTAATACAAGCCGCTAATGAAGCAGACCTAGGTGAAGGAGCATCGGTATCCAAACGTGGACA TAATCGAAAAACTGGAGATTTACAGGGGGGCATGGGTAATGAACCTATGTACGCACAAGTTCGTAAGCCA AAAAGTCGAACGGATACACAAACGACTGGGCGTATAACTAATCGAAGTAGGGCCCGTTCTGCATCAAGAA CTGATACGCGAAAATAGGGATATAATTACGCAGTAACGGTTTACCCGGTATTATGTATAATAAATAAACG TATAAAAGACAGTCGTGGTTTGTGTTTATTATAAATGTGTATTATATGTCACATATTATAAACTGTTTAA ATAGTACCACGTGGTATTATGAACAGTTTATAATCAGTTGCTACCAAACAAACCCCATTAGACGGCGGGT TTTGATAAAGGGAATCGCTTATTTAAACTAAAGATTTTACTCTATAAGTATGGAGTGTAATTTAGGAACC GAACATCCTAGTACAGATACGTGGAATCGTAGTAAAACGGAACAAGCGGTTGTGGACGCATTTGATGAAT CGTTGTTTGGTGATGTAGCATCGGATATTGGATTTGAAACGTCGTTATATTCACATGCAGTTAAAACTGC TCCGTCTCCGCCTTGGGTAGCTAGCCCTAAAATTTTATATCAACAGTTAATACGGGATCTTGATTTTTCA GAAGGGCCGCGTTTACTATCATGTCTTGAAACCTGGAACGAGGATTTATTCTCATGTTTTCCTATTAATG AGGACCTATATTCCGATATGATGGTTTTATCCCCGGATCCAGATGACGTTATCTCAACCGTTTCAACCAA AGACCATGTTGAAATGTTTAATTTAACAACCCGGGGTTCCGTTCGATTGCCTAGTCCACCAAAGCAACCG ACGGGGCTTCCAGCTTACGTTCAGGAGGTCCAGGATTCGTTTACCGTAGAACTACGCGCCCGGGAAGAAG CATACACAAAACTACTAGTTACTTATTGTAAATCGATTATACGTTATCTCCAAGGAACGGCGAAAAGGAC GACAATAGGTCTTAATATACAAAACCCTGACCAGAAAGCTTACACGCAACTCAGGCAAAGTATTCTACTT AGATATTATCGTGAGGTGGCAAGTTTGGCGCGTCTTCTGTACCTACATTTATATTTAACCGTAACGCGTG AATTTTCCTGGCGTTTGTACGCCAGTCAATCTGCACACCCGGACGTGTTTGCGGCTTTAAAATTCACCTG GACCGAACGTCGACAGTTCACGTGTGCGTTTCATCCTGTATTATGCAACCACGGCATTGTGTTATTAGAA GGGAAACCACTAACAGCGTCTGCCTTGAGGGAAATAAATTACCGCCGCCGAGAACTGGGACTGCCTCTAG TTAGATGTGGTCTTGTTGAAGAAAACAAATCTCCGTTGGTTCAACAACCCTCATTTTCGGTTCATTTACC ACGGTCGGTGGGTTTTCTTACCCACCACATTAAGCGTAAGTTAGACGCATATGCGGTCAAACATCCTCAA GAACCGAGACATGTACGAGCGGATCATCCTTACGCAAAAGTTGTTGAAAATAGAAACTACGGTAGTAGCA TCGAAGCTATGATTTTAGCACCTCCGTCCCCATCCGAGATCCTGCCGGGGGACCCACCACGCCCACCCAC GTGTGGGTTTTTAACGCGTTAAACGTCATTGGGGTAGAGGGTGTAAATAAATTACGAAAACGTGCATGCG TTTTTTATTTTTACAATGCGCCGTATATGGTATGTCTGTCATGTGCTCTAAAGTCCCATATATAAAAGAA GCCCCAACGAGTGTATGCGTATTGCGTACCGCGACCCTGGGATGTTTTACAGGCGCGTTTGTTTGTCTCG GTTATAAGTATGCAGTCGGGTCATTATAACCGGAGGCAATCCCGCCGACAGCGGATATCGTCTAATACCA CAGACTCCCCCCGTCACACACACGGAACACGTTATCGGTCAACCAATTGGTATACACACCCACCCCAGAT ATTGTCCAATTCAGAAACATTAGTTGCGGTTCAAGAACTACTGAACTCCGAGATGGATCAGGACAGCAGT TCTGACGCATCGGATGATTTTCCGGGATACGCCTTACATCATTCTACATATAATGGATCCGAACAAAATA CATCAACTTCCAGACATGAAAATCGCATATTTAAATTAACGGAGAGGGAAGCTAATGAGGAAATCAACAT CAATACGGACGCGATCGACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGACGCGATCGACGAC GAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGACGCGATTGACGACGAGGGAGAGGCGGAGGAGGGAG AGGCGGAGGAGGACGCGATTGACGACGAGGGAGAGGCGGAGGAGGGAGAGGCGGAGGAGGGAGAGGCGGA GGAGGGAGAGGCGGAGGAGGACGCGATCGACGACGAGGGAGAGGCGGAGGAGGACGCGGCGGAGGAGGAC GCGATCGACGACGAGGGAGAGGCGGAGGAGGATTATTTTTCTGTAAGTCAAGTTTGCAGTCGAGACGCGG ATGAGGTTTATTTTACGTTAGACCCGGAAATAAGTTACAGTACCGATCTTCGCATTGCAAAGGTTATGGA GCCTGCGGTATCAAAGGAACTTAATGTATCAAAACGTTGTGTTGAACCTGTTACCCTAACAGGCTCTATG TTAGCGCATAATGGGTTTGATGAGTCCTGGTTTGCTATGCGCGAATGTACCCGTCGCGAATATATTACGG TCCAAGGATTATACGACCCAATTCATTTACGGTATCAGTTTGATACTTCCCGGATGACACCCCCACAGAT TTTGAGAACTATACCAGCCCTTCCTAACATGACACTTGGTGAACTTTTATTGATTTTTCCTATTGAATTT ATGGCCCAGCCAATTTCTATAGAACGTATTTTAGTTGAAGATGTATTTTTAGATAGGCGGGCTTCCAGTA AAACACATAAATACGGCCCGCGTTGGAATTCCGTCTACGCACTTCCATATAATGCGGGTAAAATGTATGT ACAACACATTCCTGGGTTTTATGACGTGTCCTTACGTGCTGTGGGCCAAGGAACGGCCATTTGGCATCAC ATGATATTATCCACAGCAGCATGCGCTATTTCTAATCGCATTTCACATGGAGATGGATTAGGATTTTTGT TAGACGCGGCAATTCGTATTAGCGCAAACTGTATTTTTTTGGGACGTAACGATAATTTTGGCGTGGGGGA TCCATGTTGGTTAGAAGACCATCTTGCCGGATTACCACGAGAAGCCGTACCCGACGTACTCCAAGTGACA CAGTTGGTTTTGCCAAATCGGGGTCCAACGGTTGCCATTATGCGTGGTTTTTTTGGGGCGTTGGCATATT GGCCCGAACTAAGAATTGCTATAAGTGAACCATCTACATCTTTGGTGCGATATGCTACCGGTCACATGGA ACTTGCCGAATGGTTTTTATTTTCACGTACACATAGTTTAAAGCCACAATTTACCCCAACGGAACGGGAA ATGTTAGCGTCATTTTTTACGTTGTATGTTACTCTTGGTGGAGGAATGTTGAACTGGATCTGTAGAGCAA CTGCAATGTATTTAGCTGCTCCTTACCATTCCCGTTCGGCTTACATCGCGGTCTGTGAATCTCTGCCCTA TTACTATATCCCGGTTAATAGTGACCTGTTATGTGATTTAGAGGTATTACTGTTAGGCGAGGTCGACCTC CCAACTGTTTGTGAATCCTACGCAACTATTGCACACGAATTAACCGGATATGAGGCTGTTCGCACAGCAG CCACAAATTTTATGATAGAGTTTGCCGATTGTTATAAGGAAAGTGAGACCGATTTAATGGTAAGCGCGTA CCTGGGGGCCGTTTTATTGTTACAACGGGTGTTGGGTCATGCAAATCTTCTTTTGTTGCTTCTCTCCGGT GCTGCGTTGTACGGAGGATGTTCAATTTACATCCCCCGAGGTATTTTAGATGCATATAATACTTTAATGT TGGCAGCAAGTCCTCTTTACGCTCACCAAACTTTAACATCCTTTTGGAAAGACCGCGATGATGCAATGCA AACTTTGGGGATTCGACCGACAACGGACGTTTTACCCAAAGAGCAAGACAGGATAGTTCAGGCATCACCT ATAGAGATGAACTTCCGTTTTGTGGGATTGGAGACCATCTATCCCCGAGAACAGCCCATTCCCTCCGTGG ACCTAGCCGAAAATCTTATGCAATACAGGAATGAAATTCTGGGTTTGGATTGGAAAAGCGTAGCCATGCA TTTACTACGAAAATATTAAGGGTTGTGATTTTTTTCATTAGGATGAAAAGAACGTTTCCTAGCCACACCC ACAAAGGAGTTTGTAAAATAAAATCTCTGTTTAGACCTTAAAATTTGTTGTGTGTGTTGTGTGGGGGGTC CGTGAGGATCGACCTTTACAAGATATAATTTGTCCATATCGCAATGTTTTCTCGGTTTGCGCGTTCCTTT TCCAGCGATGATAGAACGCGTAAATCTTATGATGGTAGTTACCAAAGTTTTAATGCCGGCGAACGTGATT TGCCCACACCTACCCGGGACTGGTGTTCTATTTCCCAACGCATAACCAGCGAGCGCGTGAGGGATGGATG TCTTATTCCAACGCCCGGCGAGGCTTTGGAGACGGCGGTAAAGGCTTTATCTGAAAAGACCGACAGCCTA ACATCGCCGGTTTTACAAAGTACCGAAAGACACAGTGTTCTGCTTGGATTACACCATAATAATGTTCCTG AATCGTTGGTGGTCTCGTGTATGTCTAACGATGTTCATGACGGGTTTATGCAGCGTTATATGGAAACAAT TCAAAGATGTTTGGATGACCTGAAACTTTCTGGGGATGGACTTTGGTGGGTTTATGAAAATACATATTGG CAGTATCTCAAATACACCACAGGAGCCGAGGTACCGGTGACTTCAGAGAAGGTAAATAAAAAGTCTAAAT CCACGGTTTTGTTGTTTTCATCCGTAGTTGCCAATAAACCAATATCCAGACATCCTTTTAAATCTAAAGT TATAAATTCGGATTACCGGGGAATATGTCAGGAGCTACGTGAGGCGTTAGGAGCTGTGCAAAAGTATATG TATTTTATGCGTCCAGATGATCCTACAAACCCCAGCCCGGATACAAGAATACGTGTACAAGAAATTGCGG CTTACACGGCTACTGGCTACGGGTGGATGTTATGGTTCTTGGACGTTGTGGACGCCAGGGTATGTCGCCA TCTCAAACTTCAATTTCGACGGATTCGAGGGCCGCGCGCGTCTGTTATTCCAGATGATTTGCTTAGACGA CATTTAAAAACGGGTCCTGCGGTCTCAGCGGGCACAGGAGTTGCGTTTATTTTAGCAGCAACAACTGCCA GCGCTCTTACTGCGCTTTTGCGTATTAGTGTATTATGGCGAAAGGAAGAGTGGCGGGATGGTTTAAATGG AACCGCAGCTGCAATTGTTGCGGCGGTTGAACTTATTACGCTTTTGCACCACCATTTTCAATACTTAATT AATATGATGCTTATTGGATATGCATGTTGGGGGGATGGGGGATTAAACGATCCTTATATATTAAAGGCGC TACGTGCCCAGGGACGGTTTTTATATTTTGCGGGTCAGTTGGTCAGAACAATGTCAACACACAGTTGGGT TGTGTTAGAGACCAGCACCCATATGTGGTTTTCCCGGGCCGTGGCGCAGAGTATTTTAGCACATGGGGGT AAACCCACAAAGTATTATGCTCAGGTTCTTGCCGCCAGTAAACGGTATACTCCGTTACATTTAAGACGTA TATCCGAACCATCGAGTGTGTCTGATCAGCCGTATATTCGTTTTAATCGACTGGGATCTCCAATAGGGAC AGGTATAGGGAATTTGGAATGTGTCTGTTTAACGGGAAATTATTTATCTGACGACGTAAATGCAAGTTCG CATGTAATTAATACAGAAGCACCGTTAAACAGTATAGCACCCGATACAAATAGACAGCGGACTTCTCGCG TTTTAGTTCGTCCAGACACGGGTTTGGATGTAACTGTCCGAAAAAACCACTGTCTGGACATAGGCCATAC GGACGGTAGTCCAGTTGACCCAACGTATCCTGATCATTACACCCGGATAAAGGCGGAATATGAAGGTCCG GTTCGGGATGAATCAAACACAATGTTTGACCAAAGATCGGATTTACGTCACATAGAAACCCAAGCATCTT TAAATGATCACGTATATGAAAATATACCACCCAAGGAAGTGGGTTTTAACTCATCTTCAGACCTGGATGT GGATAGCCTTAACGGGTACACCTCCGGAGACATGCATACAGACGATGACTTATCACCAGATTTTATACCC AACGACGTTCCCGTTAGATGTAAAACCACGGTTACGTTTAGGAAAAATACGCCTAAGAGTCATCATTAAG TACAGCGGTTAATAGATAGTTATGGACTAGGCACTTTGGCGGTCATTTCCACAACCAGGTTAAAATTGGG GGATTTGGGAGAAAATAGTCTATTGCGTATTTTCTGTTCAATAATTGGACTGCGTTATTTAAAGGTCTGA TTGGTTGATTGGGTTATAAAAGGAATTACTCCTTTAAATTTTACTTAATGTACCCACAATATCAAGTGGT CGTTTGTATTTAACGATTATTACCGGTACCATGGGAGACTTGTCATGTTGGACAAAGGTGCCGGGTTTTA CGTTAACCGGCGAACTTCAGTACTTAAAACAAGTGGATGATATTTTAAGGTATGGAGTTCGGAAACGCGA TCGAACAGGAATCGGAACGTTATCTTTATTTGGAATGCAAGCTCGATACAATTTGCGAAATGAATTTCCT CTTTTAACTACAAAGCGTGTTTTTTGGAGGGCCGTCGTGGAAGAGTTGTTATGGTTTATCCGCGGGTCAA CCGATTCCAAAGAACTCGCCGCTAAAGATATACACATATGGGATATATACGGATCGAGCAAATTTCTAAA TAGGAATGGCTTCCATAAAAGACACACGGGGGACCTTGGCCCCATTTACGGCTTCCAGTGGAGACATTTT GGAGCGGAATATAAAGACTGTCAATCAAACTATTTACAGCAAGGAATCGATCAGCTGCAAACTGTTATAG ATACAATTAAAACAAACCCAGAAAGCCGACGAATGATTATATCGTCTTGGAATCCAAAGGATATCCCCTT AATGGTACTACCTCCATGTCACACGTTATGTCAGTTTTACGTTGCAAACGGTGAATTATCCTGCCAAGTA TACCAGAGATCGGGGGATATGGGCCTTGGGGTACCGTTCAACATTGCTGGATATGCACTTCTTACCTACA TAGTAGCGCATGTTACAGGACTTAAAACCGGAGATTTAATTCATACAATGGGGGATGCACATATTTACTT GAATCATATAGATGCTTTAAAAGTGCAGCTAGCTCGATCCCCAAAACCTTTTCCTTGCCTTAAAATTATT CGAAATGTAACAGATATAAACGACTTTAAATGGGACGATTTTCAGCTTGATGGATATAATCCACACCCCC CCCTAAAAATGGAAATGGCTCTTTAATGGATTTTTAAATGTTGTCAAGACAGTAGATGTGTTGCGAATGT AATAAAATGATATACACAGACGCGTTTGGTTGGTTTCTGTTTATGAACAGCAACGGATGCATAGGGTTGC GATAACTGCGATAAGACCCAATGTCCCAAGGATAGATATCACACCAATTATAACTGCTACAACGGAAAAT GTAGTGGCGTAGGTAGATGCATCGTAGGTATAAACGGCCGAAAACGGAGGGAATTTTTTAGGGTAACCAT CTAGATGACACGAATAGGTGATAGGTCCGTCGAGTTCCGATGTTGGACAAGAACTTTGCATGTTTACAAA CCGTTTGTTTTGATCACACACCCCAGTAATCTCACTGTTTTCGTGGTTAATGGGAGAATCGTTAACCCAC CATACGAAATGTACAACGCCACGTGGCACACATTTTGCCGTACATACTATGTGTCCATCAATAATACCTA TAGACACGTTGGGAAATGGATAGACGTCAGGGGTAACGACAGCAGAATATTTCATATTAGAGACGCCATC CCGAATCCATAAAACATTACATTGGATGGCTGGGGGTGGGTAATCCATTTGTTTTTGCTGTGGAATTCGT ACCGCCGAAACATAACTAAATAATCCATTGGCATATTCTTGTATTGCATCGGTTATAAAATTTTTTCCGA TGTTACCAAACCTTGAAGTCCACCGAACACGTACCGAGTGCGGTGGATAATACTTTGATACGTTACAGTA GGCTGCGTATGTCTGTCCGGTTAAGACTGGATCGCCGACAACGGTAATATTTGGACGATAATACGTTGTA ACTGTAATACTGTGTTCCGATATGACGTTCTTAGTTTTTGTATTAACGACTCGCCAAATATACGTTCCCT CCGTGGTAGCATCCATAGATAAAATTGTTACAGAAAAATCAGACGTTGTTTTAACATCTGGTATTACATA ATTTTCCTTAGCGTGTGTAAATATCTCAGGGTTGTTTATTAAGTTTAAATCGGCACTGTTGCTATATAAC ATAACCGGTAAATCTGGCATGCGTATTAACGCATTGCCCAGTTGACGGTGCGGATCTATAAGGTGACGCG TAAACCAAACTTCAATATGAAGATCGGGGCGTATAAGCGACTTCCACCTTGTTATATTTGAACCTTCCGG ATCTAAAGAATATTGTTCATATGTTTTTTGTTGCTGCTTAAAGGCCGCCTGTTGTCCGGTCGTTAGACGC ATGTAACAAGGCATGATAAATGTGTGAAAATAGGGTATGGATTGTATTCCGCCGTGAACGCATTGTATAT TTTCATATAGAAAAGGTGGTTGTGAATGTTGGGTGTTGGCTGCGGGATCGGGCTTTCGGGAAGCGGCCGA GGTGGGCGCGACGGCGGGATCGGGCTTTCGGGTAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTT CGGGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGTAGCGGCCGAGGTGGGCGCGACGG CGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTTCGGGAAGCGGCCGA GGTGGGCGCGACGGCGGGATCGGGCTTTCGGGAAGCGGCCGAGGTGGGCGCGACGGCGGGATCGGGCTTT CGGGTAGCGGCCGAGGTATATAATTCAGTTATACTTACGGGTGTGGGTTGAGATTCAGTCGATAATTGTA TACACGCGATCGTTAAAATTAAATTTATTTGTATCCGCTTCATCCTGGTTTTTATTGACACATCCACGCT CCCCTTAAATAAAAGATTAAAACACCCACCGCGGAATTTAAATGATGGAAACGTTTTTTTCGACATTGGG AATAATAAAAACGGCTTTTGCAACTTTAAAAACTTTATTTATCTCGATTACGATACATATGTACCACATA GATAGCATAGATTTATTATAATATAAACACACACGTGATATACTTTAGTGATATGAGATGCCATAAAACA GTCAATAGGTTTAACGCTTAGTCTCATCATCTGAATACACGTCAAACCCGCCGCAACTGTTGATGTTAGA ATTATAATAGCTCCCCATGAAATGCCGGCAAATGTTACAGCTATACCCGTCACCGAGGTCGTTGTATATA ATACAATTACCCATAGGTTTTTTTTTTCTTGATATAAAACGGCAAAACCCTGTAACCCAAATGCTATAAT ATGACCTCCTATTGAAACTGCTAACGTTACTTGTGTAAGTTTGATAAAATGATTTAATTTAATTATATGT GAGATTGCCCACATTAATGGGGTAACTATATATAACACCGGGGGTATAACAGACATTATACGAATTCCTT TAAACACGCGTTTAAGGGTCCGGGAACTTTCTCGATGGTCACATACTCTCCCGCGGTCATTTTGTGTATA TACAACGGCAAAACCTAAATCTGTATAAGTGTTTAATTGCTTATGGCGATTTTTACGATATATACACGTA TCTTGCAAATCGGTGGCGGCATCGACAATTGAAACTAGTGTGACAATAGATATACACAATCCAATAAGAA CCTCATATTTACTGACATACATATATAAAATAACGGTTAGTAAACCTCCCAACCCAGTTCCCAACATCAT AACATAAAAATAAATATGCGGTCCATTGAATGTCGTAACAAAGTTGTAGTAATGGATATGCACAGCAGCC ACTGTTCCGGTAATCGCGGATATGGAAATTCCCAGTAATTCTACAAATGGAAGATCCCGGGATATTGGGC AACCAACCGCCCATAACACAGCAAAACCCAACACGACCACCGTCTGCAAACATCGTCCCAATTTTGCTAA TGTGCGTAGAAATTTCACGGATGTTGGCCATAACCCCGAAACGACGATCAACCCCATAATAGTTGCATTG ACGGCAGCTTCGCAGACGTGATATTGTAAAATTAACCCGGACGTGATAACGCTTGCTTGTAGTCCCACGA GAAACAACCGCGATGCTGAGGTTATTGCACACGAATTACATTCTTGAGGGTTTCCGACACATCCTTGGAT TGATTGAGCGCGGATTAATTCTCTGTCTAACACACCCAGGTTTTCATCATGGACAGCTCTTTCACCATTC ACGGCCATGTCTTAAGTTTAATAATTCAAAACAAATAAAAATGTGTTCATCTATGGTACACACAAGTTTG TATGTAAAATATAAGCAAAAGTTGCACTTATTTAACTGTACATATTACGTCAGATTCACGTGATAATTCA GAATAATCCAGGGTTCCTGCAGGGTCCACTGGAGGAGCCACACAATATTCGCGAATTCCGATTCCCTCCT GCCATGTGGTTTCGGGGAGTTTCCCCCCCATTTTATTTCCGGTATTTTTTTCGTTTCTTTTTGTTAATAA ATTGCGTCTTTTTTTTAATGGTGGTTCATCCTTCACAGATTCCATGTTCGCAAATAATTGCATCGAGGTT AATTTTTCTTTAAGGTCTTTGGGACTTAAGAACGTTGCATAAAAAAAAGAATGCACGGGTGCGGAACGTT GGATATACAATCCAACCATGGGGGAGTTAGTTAAGGCGAGATAAAAATTAATATAACACGTCTCATCCCG TGTTAACTTAAGATTTTGTACGGCAGAACGGAATCCACTGTGTGTTTCCAATAATACTCCAAATTCACGC ATACTCCCGCTGCCATAAACAACATTATTAAGGATCCTTTTTGAATTTGTGATTGAGCGTATTAAATTAT ATGGTGTAGGCTTGCTTCCGTTTATATCCAAGGAAACATTAAATGAGATAAAACCACCCCCGGCGGTCTG GATGTACATATCCGTGGCTGTTAGAATGAAGCATGTTGTAAACCCAAAAGTTTTAAGTAGTCGCTGTAAA CGGGTGAATTGATCGCGTTTTAAGCAAATGCTTATATCTGGAGTTAGATTTGGAAACATCATTGTATAAC AAGCGAGTTCACGTTTTACAACTTGTTTGTAACATTGTACTTGATCATCTGGACCACAATCACCCGGGCG TTGCCATACCATCGTTTGGATAATACTCCGCTCGGGGGGTTGTCCGGTAAATTTAAAATATAACCGTGTT GGGGTCGACGGATCTTTTGTATGGCGAAACGCGTCAATAAGCGAGGACCGTCCCTCCGTTGCCGCGAGTA CAACCATTCTCGGCCCAGTCCAATTATACTGGTCAAACATATTTGCCGGTATAGGAATATACAGTTGTTC TGTTTCCAAACTACAGTGAATAATTAATCCTTCGTCGCTGAATATTAAAATAGAATCCCTTAGTCTATTA ACCAGAGGTGATATAGACGAAATTAAACCAGTAAGCGTTTTTTCCGTTAAAACAGCTCTGGCGATTTCTG GGGCGTCAAAACCCGCATGCAATTCCATGTCCAAAGCATCGTCTGTACGCGACCTCAAATCCATAATTTA CTACTTAAAATGTTTACTATAGAAAAAGTAATCATATGTAAACACACGAGTTTCGTTAATATGTTTGTTT AACCCGATCCGGTGACTTAAGTACATAAACAGGCATGATATTTGAATAGTACGGCCCATGGGAGGGAACA TTTCCACGTGTTCCAATACAGGGGGTGTTCCTTAATAGGGACTGTGCAATAAAATACGTAAGAAGTTACC AGATTTGATGTAATGTTTGTCATAAAAAATATGTACATCATTATATACGTCTGTAATTAACACAAGATCA CATCGAAGAATTACTGAAGCCGCTGTGAAACCTTTCACAAGACGATATAAACTTGGTTAAGTGTATTGAT GGGGCTCTTTGGACTGACACGCTTTATCCATGAACATAAACTGGTTAAACCCAGCATCATTTCAACGCCA CCCGGAGTTTTAACCCCCGTGGCGGTAGACGTATGGAACGTCATGTACACATTGTTGGAACGTTTATACC CTGTGGGTAAACGCGAGAATTTACACGGACCATCTGTAACGATACATTGTCTTGGAGTCTTATTGCGGCT ATTAACACAACGGTCATACTATCCGATATTTGTATTGGAACGTTGTACAGACGGCCCATTATCACGTGGA GCCAAGGCAATTATGTCACGGGCCATGAACCACGATGAAAGGGGAACCTCGGACTTAACCCGTGTTCTAC TATCATCCAACACATCATGTTCTATCAAGTATAACAAAACATCGGAAACATATGACAGTGTGTTTCGAAA CTCTTCCACGAGTTGTATTCCTAGCGAAGAAAACAAATCCCAGGATATGTTTTTGGACGGTTGTCCACGA CAAACTGACAAGACGATCTGCCTGCGCGACCAAAACGTATGCAGTCTTACCTCTACAATGCCATCCCGAG GACATCCTAACCATCGATTATATCACAAATTGTGTGCAAGTCTTATTAGATGGATGGGGTATGCATACGT CGAGGCGGTTGACATTGAGGCGGACGAGGCATGTGCAAACTTATTTCATACGCGTACAGTGGCTTTGGTT TATACGACAGATACTGATTTACTCTTCATGGGCTGTGATATTTTGTTAGATGCAATTCCTATGTTTGCTC CAGTAGTACGATGTCGCGATTTGCTTCAATATTTAGGAATTACATACCCTGAATTTTTGGTTGCCTTTGT TCGCTGTCAGACCGATTTGCATACAAGTGACAACCTAAAATCTGTTCAGCAAGTTATTCAGGATACCGGC CTGAAAGTTCCACATCAAATGGACACTTCAACGCGCTCCCCCACTTACGACTCGTGGAGACATGGCGAGG TTTTCAAAAGTCTTACCGTAGCCACGTCGGGTAAAACAGAAAACGGAGTGTCCGTTTCCAAATATGCATC TAACCGATCGGAGGTGACAGTAGACGCCAGTTGGGCTTTAAACCTTCTGCCACCCTCATCCTCCCCATTG GATAATTTGGAACGCGCATTTGTTGAACATATAATCGCCGTGGTAACTCCATTGACCCGCGGTCGCCTAA AGTTAATGAAACGTGTAAATATTATGCAAAATACGGCAGACCCATATATGGTTATTAACACCTTATATCA TAACTTAAAGGGGGAAAAAATGGCTCGCCAATACGCACGTATTTTTAAACAGTTTATTCCTACTCCACTC CCACTAAACACTGTATTAACAAAATATTGGAATTAAAACACACATAAGAGCGACTTAATGGTTCATTGTT TTATTTTGCTCGTATATACATGTTATAAATCGTTTATCACTGTGCCCGCATAAGATGTACTGTGTCTCTC AAAAAAATTTGTGTTTTTATCTGCAATCATAAATGCAAGTGGAAAGTCCGAATCGGGAGGTGGGGTGTTA AATAGTTTTGGTACATTAATCGCTGATAAAAGCCTGTCCGCGCTGAATTTCACGTATTGTGTAATTGCAT CGACGTTCACCAAACGGGTTTTGGGTGCATGGGATTTTAAAAACGCACACTCGATTTCAACGGCTTCCGA AAACAGTTGATGTATTCTGGTGATAGCGGGTTTTTCGGGTACATAGTTATTGTATATACAACACGATGCG CTGGTATGTATGGCTTCATCTCGGCTTATAAGGTCGTTAAATTGACAAGTTACAACAAATAGTCCGTTAT TGCGTAAATATGCAATAGCCGCGAACGATGATACAAAAAAAATGCCCTCTATAAGAATCATTAGTATATA TTTTTCTGCAACGGATGGGTTGTCCCGTACCTTTTCTTCCAACCATTGTACTTTTTGTTGGATCGACGGA TTATTAATAGTGACATTTACGTATTGTACCCGCAACGATTCATCCCCTCTGAACAACATTAGTTGAATTT GACTATAGACACGCGCGTGGACAACCTCGATGCACTCTTGTTCAATGTAGTAATGGTGAATATCCTTTTG GGAAAAGAGTTGGGTTAGAGAGCCCAAATTAACATTTACCAGATCATCTGCCGCCGATAAAAATGTAAAA ATAAATCTGTAGAATATTAGTTCATCTTCCGTTAAACAGTCCAAGTATTGATAATCATCTTCAATGATAA AATCGCTTTCTAACCAACGATTCGAAATGCTCAGGGCACGTAAATTGTTTATATCTGGACACTCCGGCCT GTAAAAAAAATGACTGCAATCTTTCTGATCCATTTTGGAATAGTTTCCCGTGTAAATTTATAAAGCACAA CTGGTACAGGTTAATTCGCCTCCCGCAAACAGTCCGCTGTTCGTAGCTTTACGAATTTTACAGTAGTACA TACCCGTTTTAAGGCCGGCTTTATAGGCACGTATAAGCAAATTCATTATTTTGGAGGCGGGAATTGTCCC GTCTGGGCGTTCCTCAATAAATAAAGTCATTGATTGACTTTGGTCAATAAATGGCGCCCTTTCTGCACAC ATATCAACGAGATCCTCTTGCTCATATTCAAACGCTGTTTTATATTTTAAGAGTGGGTGACTATTAGATA AACAGCCAAACGAACGTATTACTGACCATTGGTTTTTCTCAAGTATGTTTATAACTTCCAGTCGTTTTTC TTCACATGAATACATATCTCTTAGTTCGTCCATAAGGTCTAAGTTGGGTCTAAGTAACTCACCCGAGGTG GTGACCTTACTAAACATATTATTATAAATTGGAGAGAAACCCTCACTGCACTCCGTTACCTGTGCAGATG AAACTGTGGGCATTAACGCTAAGAACTGCGAGTTGTATAACCCATAAGCGCAAATATCATCTCGCAGGGT ACACCATGGTAAATCTAAATAACTTATCGTAGAAAACCCATCTTGGTGTAACCATCCCTTAGCATATTTA CTTTCGGTAAAACCCTTAAACGGGGCTAAGCCGCCAATCTTACACATTTCCATGCTTGTTTTCATTGTCT CATACAACATTAACTCCGCTATTTGTACATTTAACCGTCTAGCTGGTTGGGAAGTTAAATCAAATCCTAA GCGGAGACAAGTTGTATGTAACCCTTGTATGCCAATGCCAAGTGATCGGTTGTTTTTTACACCTTTACAT GATTTTTTACATGGAAAGTTCCCAGCCGCCAGGACCCCGTTTAAAAAAATAACAGTCGTTCTTGCTGTCA ATTGAAGGTCGTTTAAATTAAATGACACTGGGCCTTTGGATAAGCACGTTGTAAGATTTATGCTGGCAAG ATTACATACGCCATGTTGATGAGCGTCTGCCTTTTGAACAATTTCCGTACACAAATTTGACCCCGTGATA GCATTTCCTTGGGTATTCATATGATAATTACGATTACAGGCATCTTTGAACATTAAAAAGGGGCTTCCTG TTACAGCAGCACTGCGTATGATTGTGAATGCGATATCTTGAATGGGAACAGAAGAAACGCCTAATCCTTC TCTCTCTAAACGTAAATAGGTTGAAGTGAATGCCTCCCCGTGTAATGTTCGAAGGATATCGGCTCTGTTA TCAAAAAGAGTCCACTGAACATTACTAGCCCCTTTTAGATAGCTTAGGTATCTTTCAAAAAATAAATCTG GGGTCCATAAACAACAAAATATGTTATCACATCGAAATATTTCATCACGAACCAACATTCCACGTGTGGC CAAAACAGTTTGTAGATCGACGTGCCATGGTTCTATGTAAACACAAACTCCAGTTGGTCGTTCACAATCA CTGTTAATTGCCATAACCATGCAATCTAAAAGTTTTAAAACTGCAAGAAGACCTTTCGTTTGATTTTCCG TAGGTATTAAATTCAGACTCTGTAGAGAAATTCCCACTCCACCTCGACTTTGTAATACCGTTCCCACATC GCCTGTGATAGCTCGAACAGCTCTCCCAACAGTGATGGATTCCGGGTCCATTAAATAACAACTGGCCGTT GCCCCGGTCTCTCGACCTAAAAACATCATAACCGGTGTAGCCGGGACAATTTTCTGACATGCCAACGCTG TGAAAAATACCCGACAGACATCAGTCCATGTATAACCATCATTTATTCCGGGAATAAGAGTTGCGATTTT AGGCAGGTTTACGATTTCTGTTGTCACGGTGGCCGCCAGTCTTAAAAAGAATTGGCAAAGCGACTCTAAT TTACCTTCCTCTAACTTAGTTAAATAAAAGTCTTCGTACTTTAAAGCAGACTGTAGTCCAAGGGTAGCTA AAGCGGGGTATTGATCTTTCAAAAACGGTTCTAATATAGCCCGACGAATTTCGTCCCTCCGCCCTTCAAT TGCTTGGCGGACTCGGGGAGTTAAACAGAGAATTGGGGAAGTCAACCACGTTTCCATGGAAACGGATCGT AGGTTAATACGGCAATGGATAAGTTCTCCACAACATCGGTACACTCGCTCATCTTGTCGCGTCACCGCCT TAAGTTTTGAGACGATAGTGCTAATATACTCCATTAATTCCACCGGTGTGGTTGATTCGGGCGGAATGAT GTATTCCTTGTAGCCATGTTGACATAATCGGTTTATAATGTCATGAACCGTATTAAAAATTCTTTTGAAC TCCATAACGGATAACGTATTTAGGCTCCGGAATAAACCTTTAAACCCTAAACTCACAGCTGAGTTAGTTC TACAATATTGTAGACTCCCTTATATATGGTTACGTACAGCCTGCCCCTCCCCAGTATATAATATCACGCA AAACCCACGCTATGTTAAATTCAGTTTATTTTACATACATGCTTTAATAATAACATTCGTTCCATGTATT TGTACCCCCCCACACAACCCCCTCTAACCAAATAGTTGGCACGTTATAACCTCCGAACCGTTCCATGCGT CTTGTATAACGCACAGACTCTGATGGAATTGTTCCAATTAACGTATATGCCGCATACATGCAGGATAATT GTGTGGGAAGTCCCCGAAAATCGCCGGTCCATTGATACAATCGCTGTCTAGCCAAGTTCCAATTTACTCC TGTAATTTCGCCAATACTACATCGAGGGCTTGTCGGGTCATTGGATAACTGCACAAGCGGCAACGCCCTT GTGTTATATGGCTGGTGGGTATTTGCAACCCCTTCAGTCCCCCAGGCGGCATTTTCAGCTCGTATGCGTC CTAACAGGAAGCCAATACCACGACCAAAACATTGTTCGTTTAGTTGGCTTAATGCAAGATGCAGTCTTAC ACCTTCTCGTTGGCGTCGCTGTGTATATACAAAAACCAAGAACACATGCTTCAGTCCGTCCGCGGAAAGA TGTAAATCTTTGTCAACGTCCCAAAATACGCAGGCCGGGATGTTGGCTGTGACCCTGCGAGTTGAAGTTT TGTCTGTACGTGCAGCTTCTTGGGGACCTTTGGCCACGGCGGTTATATTGCATAAATTATCCTGAATGGT ATATTCCAGCAGGGACCCAAAAAAACTTATAAATCGATGTGGAAATACATGACATTGTACCATCGCACGT AAACACTCCGAAAACCTTATGAGCCGCGTTTCCATACGACTGCATCCATAGGCAGAAACAATTGCTGTTC TGTTGGCATCCGCTGCCTGTTTATCCGTATATTCTTCTGCCCGGCATGCGGCGATGAAACTTAATGACGT TACATATGCTCTAAGCCCCCCACCTTCTCCAACGGTCCAAGGAGCCGTGCAGGCATTGAATAGGTTTCGT AAACCCTCTAGTAGTACATCGGGGTCACGTCCAGCCTGTGTAAGTGTATTAGCTTCTCCAATCATGTCAG ATGGATGACGAAGGATTAAGACGATTGACCCAGCATGCTCAATGTCCGGACGAAAAAAATCGGTTAATGA CACTTGTTGGATTAGCTGTGTCGTTGATTTAAAATTATTTAACGGGAGTCTAATGGTAACTTGCGGGTTA CCAATTGAAGTTGGATTTATTTGAATGTTGTTCATACGATTAATAACAATTGAACGGGGGGTTACTTGAA TAGACGCGGTTTCTGTACGTTTTGGTGGTACATGTATCGGTTGTTTGTTCAGACCTCCAAAGCGAGGGCC AATTGTTAAATCGCGACTCCAATTTCCGAAGAAGCCCGGAGCATAAGTCATATGAAGCCCGTTCCCTATT TGAATAAAACGGTTATTTCCTAAAAGACTGATATTAGTTCCACATAGCGTTTGTTCGTTTAAAGTAAAAT GCGAGTTGGTTGGTTGACTCCCCATAGCTGAGGGGTTAAATTCACACAATGCAATCGTGACGTGGTACTA TCTGAAATGTTGCCTGGGGTATGTGTACACATTATACAGTCGTAGTACCGTTTATATAATGTTAGGTAGG AGGAGCCTATAAAAATATTTTGATTGGCGTTAAAAGGTTCTTCAACTTACCGTGACGTCCTTTTTATTAA CATGCGTTTTTATTGATGTTACATTTATGTCTTTTCATTCCGGACGGATGTAGCTTTTTCATATCACGTT ATAAAGTTAAGTCAGCGTAGAATATACCATGGAAGAACCAATTTGTTATGATACACAAAAACTTTTGGAT GATTTAAGTAACTTGAAAGTACAAGAAGCGGACAACGAAAGACCATGGTCACCAGAGAAAACAGAAATCG CCAGAGTTAAGGTAGTTAAGTTTTTACGATCTACCCAGAAAATTCCAGCTAAACATTTTATTCAGATATG GGAACCCCTGCATTCTAATATCTGTTTTGTATATTCCAATACATTTTTGGCGGAGGCTGCTTTCACGGCC GAAAATTTACCCGGACTGTTGTTTTGGAGACTAGATCTAGACTGGACGATAGAGGAGCCAGGTAATAGCT TAAAAATTTTAACCCAGCTATCAAGTGTAGTACAAGATTCCGAGACGTTACATCGTTTATCGGCCAATAA ATTACGAACCTCGTCTAAATTTGGACCCGTTTCGATACACTTCATTATAACGGACTGGATAAATATGTAC GAGGTCGCCTTAAAGGATGCAACAACAGCCATTGAATCACCATTCACTCACGCTCGTATTGGAATGTTGG AAAGCGCCATTGCAGCTTTAACACAACATAAATTTGCGATCATTTACGATATGCCATTTGTTCAAGAGGG GATTCGTGTTTTAACACAATATGCAGGATGGCTTCTTCCGTTTAATGTTATGTGGAATCAGATTCAAAAT AGCTCACTCACTCCTCTAACACGAGCCCTTTTTATAATCTGTATGATTGATGAATATCTCACGGAAACGC CAGTACATAGCATATCAGAATTATTTGCAGATACTGTAAATTTAATTAAAGATGAGGCGTTCGTATCCAT CGAAGAAGCGGTAACGAATCCACGAACGGTGCACGAGTCACGAATTTCCTCAGCTCTGGCTTATCGAGAC CCTTATGTTTTTGAGACATCCCCGGGAATGCTTGCTAGGAGACTTAGATTAGACAATGGTATATGGGAAA GCAACCTCTTATCGTTGTCCACCCCCGGAATTCATATTGAGGCGCTGTTACATTTACTAAACTCCGACCC GGAAGCGGAAACCACATCTGGAAGTAATGTAGCAGAACACACCCGTGGCATTTGGGAAAAGGTTCAGGCT AGTACATCGCCTAGTATGTTAATAAGCACCCTTGCCGAATCCGGGTTTACAAGATTTTCATGCAAATTGC TACGTCGGTTTATTGCTCACCACACACTCGCCGGTTTTATTCACGGAAGCGTTGTAGCAGACGAGCATAT TACAGATTTCCAACAAACACTAGGATGTCTCGCTTTAGTGGGTGGACTGGCATACCAATTAGTGGAAACG TACGCTCCTACTACCGAGTATGTGTTAACATATACACGGACAGTAAACGAGACCGAAAAACGGTATGAAA CGCTATTACCCGCCTTAGGATTACCACCGGGAGGCCTGGGACAAATTATGCGGCGCTGTTTTGCTCCACG ACCCCTTATTGAAAGTATACAAGCGACACGCGTAATACTACTTAATGAAATTTCACATGCAGAAGCTAGA GAGACAACATATTTTAAGCAAACACATAATCAATCCTCAGGTGCGTTATTACCACAAGCAGGACAAAGTG CCGTACGCGAAGCCGTACTAACCTGGTTTGACCTACGTATGGATTCAAGATGGGGTATTACTCCCCCGGT GGATGTGGGTATGACACCTCCTATTTGTGTTGATCCACCGGCTACAGGGTTGGAAGCTGTCATGATAACA GAAGCACTAAAGATTGCATATCCTACCGAATATAATCGCTCTAGCGTGTTTGTGGAACCGTCGTTTGTGC CTTATATTATTGCAACAAGCACGCTTGATGCCCTTTCGGCAACAATAGCTTTGTCTTTTGATACACGGGG AATACAGCAAGCCTTGTCTATTCTTCAGTGGGCTCGCGATTATGGATCCGGAACCGTGCCCAATGCAGAT GGATATCGCACAAAACTATCTGCTCTTATAACAATATTAGAACCTTTTACCCGTACACACCCCCCAGTAC TTTTACCATCTCACGTTTCTACTATAGATTCCCTTATATGCGAACTTCATCGGACTGTTGGCATTGCCGT TGACCTGCTTCCCCAGCACGTCCGTCCTTTGGTTCCTGACCGTCCTTCTATTACAAATAGCGTTTTTTTA GCAACTCTCTATTATGATGAACTTTACGGTCGTTGGACCCGACTGGATAAAACATCGCAGGCGTTGGTTG AAAATTTTACATCCAACGCGTTAGTGGTTTCTCGGTACATGTTAATGTTACAAAAATTTTTTGCGTGTCG TTTTTATCCAACGCCAGATCTTCAGGCTGTTGGTATCTGTAACCCAAAGGTTGAACGCGATGAACAATTT GGGGTATGGCGTTTAAACGATCTTGCTGATGCGGTTGGTCATATTGTTGGGACAATACAAGGAATCCGAA CGCAAATGAGAGTGGGAATATCCAGCCTGCGCACAATTATGGCCGATGCTTCCTCAGCCCTTAGGGAATG TGAAAATTTAATGACTAAAACCTCCACTTCTGCTATTGGGCCTCTTTTTTCAACGATGGCTTCCCGGTAT GCACGGTTTACACAGGATCAAATGGACATTTTAATGCGTGTTGACAAACTAACAACAGGAGAAAATATAC CCGGTCTTGCAAATGTAGAGATTTTTTTAAATAGGTGGGAACGAATAGCAACAGCTTGTAGGCATGCCAC GGCAGTCCCGTCGGCCGAATCTATTGCAACCGTGTGTAATGAATTGAGGCGCGGTTTAAAAAATATACAA GAGGATCGTGTAAATGCCCCAACCTCATATATGAGTCACGCCCGAAATCTGGAAGATCACAAGGCAGCAG TTTCATTCGTTATGGACTCCAGGCAACAGTTTATTGTGGATTCTGGACCTCAGATGGGCGCGGTTTTAAC TTCACAATGTAATATAGGAACATGGGAGAATGTAAATGCAACGTTTTTACATGATAATGTTAAAATAACG ACAACGGTCAGAGACGTAATTTCAGAGGCTCCGACGCTGATAATAGGACAAAGATGGCTTCGTCCAGATG AGATTTTATCTAATGTAGATTTGCGTCTTGGCGTACCCGGGAATACAAGTGGGAGTGACCCTTAATATAA AACAGGCGTGTTTATGTACATTAAAGTATTTGTGGTTTTTATTGACTGGGCGTTTCGTTTGTATAACGCT GTTGTTGCTAGTATTTTCATAACCTCCTAGGTTTTTGGAGCTACACGTGCTTATTCAACGCTCTTTGGGA TTTGAATCATCGTAAACGTAGCGTCCCTACCAGTTGAGCGCGTAATTTTCGTAAGCAATAAAATGGATAT AATTCCGCCTATAGCTGTCACTGTTGCGGGAGTGGGAAGCCGTAATCAATTTGACGGTGCCCTGGGACCG GCGTCAGGTCTGTCATGTTTAAGAACATCTTTATCGTTTTTGCATATGACATATGCGCATGGAATTAATG CAACCCTGTCATCAGACATGATTGATGGATGTTTACAAGAGGGTGCAGCATGGACTACGGATCTGTCTAA TATGGGGAGGGGTGTCCCAGATATGTGTGCTCTTGTTGATCTCCCCAATCGAATTTCATATATTAAACTG GGGGACACTACCAGTACGTGCTGCGTTTTGTCTAGAATATACGGCGATAGCCATTTTTTTACCGTTCCAG ACGAGGGTTTTATGTGCACACAAATTCCCGCTAGAGCGTTTTTCGATGATGTGTGGATGGGACGTGAAGA GTCGTATACAATTATAACTGTAGACTCAACGGGAATGGCCATCTATCGTCAGGGAAACATATCTTTTATT TTTGATCCACATGGCCATGGGACTATAGGACAGGCTGTAGTTGTTCGGGTGAATACCACGGATGTGTACT CTTATATCGCATCGGAGTATACCCACCGCCCCGATAACGTAGAATCCCAATGGGCCGCTGCATTAGTTTT TTTTGTCACCGCAAACGACGGTCCCGTAAGCGAAGAAGCGCTATCTTCGGCAGTAACGCTTATATACGGA AGCTGTGATACATATTTTACAGATGAACAATATTGCGAAAAACTGGTTACAGCTCAACATCCGTTGCTTC TTTCACCTCCTAATTCCACGACAATTGTGCTTAATAAATCGTCTATAGTACCTCTTCACCAAAACGTTGG TGAAAGTGTATCCTTGGAAGCAACCCTACATTCAACGTTAACCAACACGGTTGCACTGGACCCTAGATGT AGTTACAGCGAGGTTGATCCTTGGCATGCGGTTCTAGAAACAACCTCGACTGGGTCTGGCGTTTTGGATT GTCGTCGTAGACGCCGTCCTTCATGGACTCCTCCTTCAAGCGAGGAAAATTTAGCTTGTATCGACGATGG CTTGGTAAATAATACACATTCCACGGATAATTTACATAAACCCGCTAAAAAGGTTCTCAAATTTAAACCA ACTGTAGACGTGCCGGATAAAACACAAGTGGCACATGTATTACCCCGCCTACGAGAAGTTGCTAACACCC CAGACGTTGTGTTAAATGTATCCAATGTAGATACGCCTGAATCCAGTCCCACTTTTTCACGGAACATGAA TGTAGGAAGCAGTTTGAAAGATCGGAAGCCATTTCTATTTGAACAGAGTGGTGATGTCAACATGGTTGTC GAAAAACTACTACAACATGGGCATGAAATTAGCAATGGATACGTACAAAATGCGGTGGGTACGTTGGATA CTGTTATTACCGGTCATACAAATGTTCCCATTTGGGTAACAAGGCCCTTGGTTATGCCAGACGAAAAGGA TCCATTGGAGCTTTTTATTAACCTCACCATTTTGCGTTTAACGGGATTTGTGGTGGAAAATGGAACACGT ACACATCATGGTGCTACAAGCGTTGTATCAGACTTTATAGGTCCCCTTGGGGAAATTTTAACAGGATTTC CCTCCGCCGCGGAACTTATACGCGTTACAAGTTTGATATTAACAAACATGCCGGGGGCGGAATATGCTAT TAAAACTGTTCTCCGGAAAAAATGTACAATTGGCATGCTCATTATCGCTAAGTTTGGTCTAGTTGCCATG CGGGTTCAGGATACAACCGGCGCTTTACATGCCGAACTAGATGTGTTAGAAGCGGATCTAGGAGGTTCGT CGCCCATAGACCTCTATTCTAGACTGTCGACAGGTCTTATAAGTATACTAAATTCGCCTATTATTTCTCA TCCCGGACTTTTTGCCGAGCTTATTCCAACCCGTACAGGGTCCCTGTCTGAACGAATACGTCTTCTTTGT GAATTAGTCTCGGCCCGGGAGACACGCTATATGCGTGAACACACCGCGCTTGTTTCTAGTGTAAAGGCTT TAGAGAATGCATTACGGTCTACCCGCAATAAAATTGATGCCATTCAAATACCAGAAGTTCCCCAGGAACC CCCGGAAGAAACCGACATTCCACCCGAAGAGTTAATTCGGCGTGTATATGAGATACGATCCGAAGTTACA ATGCTATTGACCTCGGCTGTTACAGAATACTTCACCCGCGGAGTGTTATATAGCACACGGGCCTTGATCG CTGAACAATCCCCTAGGCGTTTTCGGGTCGCGACCGCAAGTACGGCACCCATTCAACGGCTTTTAGATTC TCTTCCGGAATTCGACGCTAAATTAACGGCAATCATATCGTCCCTGTCTATACACCCTCCTCCTGAGACT ATACAAAATCTCCCCGTCGTATCTCTGTTAAAAGAGCTTATTAAAGAAGGGGAAGATTTAAACACAGACA CGGCTCTCGTATCGTGGTTATCTGTAGTCGGGGAAGCTCAAACCGCAGGTTACTTATCCAGACGAGAGTT CGATGAATTATCACGTACAATTAAAACCATTAATACACGCGCAACGCAACGGGCTTCCGCGGAAGCAGAG TTGTCTTGCTTTAATACGCTAAGCGCGGCCGTAGACCAAGCCGTAAAGGACTATGAAACATATAACAATG GTGAGGTCAAGTATCCTGAAATAACACGGGATGATTTATTAGCAACAATTGTACGTGCTACAGACGATTT GGTGCGACAGATAAAAATTTTAAGTGATCCAATGATCCAATCCGGTTTACAACCTTCGATTAAAAGACGA TTGGAAACAAGGCTTAAAGAGGTTCAGACGTATGCAAACGAGGCCCGAACCACACAGGACACAATAAAGA GTCGAAAACAGGCGGCATATAATAAACTCGGGGGGTTACTTCGCCCGGTAACCGGTTTTGTGGGACTTAG GGCTGCAGTAGATTTATTACCGGAACTTGCTTCTGAGTTAGATGTCCAAGGAGCCCTGGTAAATCTCAGG ACCAAAGTCTTAGAGGCGCCGGTAGAGATCCGTTCTCAACTTACGGGTGATTTCTGGGCGTTATTTAACC AATATCGAGACATTTTAGAACATCCCGGAAACGCACGCACATCTGTCTTAGGAGGACTGGGAGCTTGTTT TACAGCTATTATCGAAATTGTGCCGATACCTACGGAGTATAGACCATCATTGCTTGCGTTTTTTGGTGAC GTGGCAGATGTGCTTGCATCCGACATCGCGACCGTATCTACTAACCCGGAAAGTGAGTCCGCCATAAACG CTGTTGTTGCAACTCTTAGTAAAGCGACGTTAGTTTCATCTACAGTGCCAGCCTTATCCTTTGTGTTGTC GTTATATAAAAAATATCAGGCTTTACAACAAGAAATTACGAATACCCATAAGTTGACTGAATTACAAAAA CAACTTGGAGATGACTTCTCCACCCTAGCTGTCTCATCTGGACACTTGAAGTTTATATCATCTTCAAATG TAGATGATTATGAAATAAACGATGCGATATTATCAATACAAACAAATGTGCACGCCCTAATGGATACGGT TAAACTTGTTGAAGTTGAACTGCAAAAGCTACCCCCCCATTGTATTGCTGGGACATCTACCTTATCTCGA GTAGTAAAGGATCTTCATAAACTCGTCACAATGGCACATGAGAAGAAGGAACAGGCAAAAGTGTTAATTA CCGATTGTGAACGTGCACATAAACAACAAACGACTCGGGTTTTGTATGAGCGTTGGACACGTGATATTAT AGCATGTCTGGAGGCAATGGAAACGCGCCATATATTTAACGGGACAGAACTGGCACGGTTGCGAGATATG GCCGCTGCGGGAGGGTTTGATATACACGCAGTTTACCCACAAGCACGTCAGGTTGTAGCGGCATGTGAAA CTACAGCCGTTACGGCATTAGATACTGTGTTTCGCCACAATCCATATACCCCCGAAAATACAAATATTCC ACCACCTTTGGCTTTGTTAAGAGGGTTAACATGGTTTGATGATTTTTCGATTACGGCTCCCGTATTCACC GTTATGTTTCCAGGTGTTAGTATTGAGGGACTCCTTCTGCTTATGCGTATTCGCGCGGTTGTGTTATTAT CCGCCGATACGTCTATTAATGGAATACCTAACTACCGAGATATGATATTACGAACCTCGGGGGATCTATT ACAAATACCCGCATTGGCTGGGTATGTTGATTTTTACACACGGTCTTATGATCAGTTTATAACCGAAAGT GTAACGTTAAGTGAACTTAGAGCAGACATCAGACAGGCTGCCGGGGCTAAACTTACAGAAGCAAATAAGG CTTTGGAGGAAGTAACTCATGTTCGGGCACACGAAACGGCTAAACTTGCACTTAAAGAAGGTGTCTTCAT TACATTACCAAGCGAAGGTTTATTGATTCGGGCTATAGAGTATTTTACAACTTTCGATCATAAACGATTT ATAGGAACGGCATATGAAAGAGTTTTACAAACAATGGTAGACCGCGATCTAAAGGAGGCCAACGCAGAGC TTGCACAGTTTCGTATGGTGTGTCAGGCAACAAAGAACCGTGCAATACAAATTTTACAAAACATTGTTGA TACGGCCAATGCCACTGAGCAACAAGAAGACGTGGATTTCACTAACCTGAAGACGTTATTAAAACTAACC CCCCCTCCCAAAACAATTGCATTGGCCATTGATAGATCTACTTCCGTTCAGGACATTGTCACGCAGTTTG CATTGCTGTTAGGGCGTCTGGAAGAAGAAACTGGTACGTTGGACATTCAGGCGGTTGACTGGATGTACCA AGCTCGCAATATTATTGACTCCCATCCACTAAGTGTGCGTATAGACGGTACCGGCCCCCTGCATACTTAT AAAGATAGGGTGGATAAACTTTATGCGTTACGAACTAAATTAGATCTCCTACGACGACGAATAGAAACCG GTGAGGTTACGTGGGACGATGCATGGACAACATTTAAAAGAGAAACGGGGGATATGTTGGCATCGGGGGA CACGTACGCTACTTCCGTAGATAGTATAAAGGCACTCCAGGCATCGGCGTCTGTGGTTGACATGCTTTGT TCCGAACCCGAATTTTTTTTATTGCCTGTGGAAACGAAAAACCGTCTCCAAAAAAAGCAACAGGAACGTA AAACGGCGTTGGATGTTGTGTTGCAAAAACAAAGACAGTTTGAAGAGACCGCGTCTCGCTTACGAGCTTT AATTGAACGTATTCCAACGGAGAGTGACCATGACGTTCTTCGTATGTTATTACGTGATTTCGATCAATTT ACACATTTGCCTATATGGATAAAAACACAGTATATGACATTTCGAAATTTACTCATGGTACGGTTAGGCT TGTATGCAAGTTATGCTGAGATTTTTCCACCCGCGTCTCCAAACGGAGTATTTGCTCCTATTCCCGCCAT GTCGGGTGTATGTCTAGAAGACCAATCCCGATGCATTCGCGCGCGGGTGGCCGCGTTTATGGGGGAGGCG TCTGTGGTGCAAACGTTTAGGGAAGCCAGATCTTCTATAGACGCTTTGTTTGGAAAAAATTTAACCTTTT ACTTGGATACTGATGGGGTTCCACTTCGATATAGAGTGTGTTATAAATCAGTTGGGGTTAAACTTGGAAC CATGCTATGCAGTCAGGGTGGATTATCTTTACGACCGGCACTTCCCGATGAAGGTATTGTGGAAGAAACT ACACTATCGGCATTACGCGTGGCCAATGAGGTCAATGAGCTACGCATTGAATACGAATCCGCTATAAAAT CCGGGTTTTCTGCCTTTTCCACCTTTGTTAGGCATCGCCACGCCGAATGGGGTAAAACCAACGCACGCAG AGCCATTGCAGAGATATACGCCGGCCTTATAACAACAACATTGACACGACAATACGGGGTTCATTGGGAC AAGCTTATTTATTCTTTTGAAAAACACCACCTAACTTCTGTAATGGGCAATGGACTAACTAAACCAATCC AGAGAAGGGGTGATGTACGCGTATTAGAGTTAACCCTATCTGATATTGTAACTATTTTGGTTGCCACAAC CCCGGTACATCTTCTCAATTTTGCTAGATTGGATTTAATTAAACAGCATGAGTATATGGCCCGTACCCTC AGACCCGTAATCGAGGCCGCATTTAGAGGTCGTTTACTCGTTCGCTCATTGGATGGAGACCCGAAAGGCA ATGCCCGGGCCTTTTTTAATGCCGCCCCATCCAAACATAAACTCCCGTTAGCTCTTGGATCAAACCAAGA TCCTACCGGCGGGAGAATATTTGCATTTCGGATGGCAGATTGGAAACTTGTTAAAATGCCACAGAAAATA ACGGATCCTTTTGCGCCATGGCAACTTTCCCCCCCCCCCGGGGTAAAGGCCAATGTCGATGCAGTTACCC GTATAATGGCAACAGATCGTCTTGCGACCATTACTGTACTTGGGCGCATGTGTCTCCCGCCAATTTCCTT AGTGTCAATGTGGAATACGCTGCAACCGGAGGAATTCGCATACAGAACACAAGATGATGTGGACATTATA GTTGATGCGAGACTGGATTTGTCATCCACGCTTAATGCAAGATTTGATACCGCTCCCAGCAATACCACGT TAGAGTGGAATACAGACCGTAAAGTAATTACAGATGCTTATATTCAAACCGGGGCAACGACAGTTTTTAC AGTAACGGGGGCGGCACCAACTCACGTTTCTAATGTAACAGCGTTTGACATAGCAACTACGGCTATTTTA TTTGGGGCTCCTTTGGTTATTGCCATGGAACTTACATCCGTTTTTTCACAAAATTCCGGACTTACTTTGG GGTTAAAATTATTCGATTCCCGGCATATGGCTACAGATTCGGGTATATCCTCAGCCGTATCTCCCGATAT TGTTTCTTGGGGGTTACGTTTACTGCATATGGATCCTCACCCAATTGAAAATGCATGTTTAATTGTCCAA CTAGAAAAACTGTCCGCGCTCATTGCAAACAAACCTCTTACAAACAATCCCCCGTGTTTACTGCTATTGG ACGAACATATGAATCCCTCTTATGTTTTATGGGAACGAAAAGACTCGATTCCAGCTCCGGATTATGTGGT CTTTTGGGGGCCAGAATCTCTTATTGATTTGCCGTACATCGACTCCGATGAGGACTCTTTCCCCTCGTGT CCCGATGATCCATTTTACTCGCAAATTATTGCCGGTTATGCGCCCCAAGGCCCCCCAAACCTCGACACAA CTGATTTTTACCCAACGGAGCCACTATTTAAGTCTCCCGTTCAAGTTGTTAGAAGTTCCAAATGTAAAAA AATGCCCGTCCGGCCCGCGCAGCCCGCGCAGCCCGCGCAGCCCGCGCAGCCCGCGCAGACCGTCCAGCCC GCGCAGCCCATAGAACCGGGCACACAAATAGTGGTACAAAATTTTAAGAAACCCCAAAGCGTAAAAACAA CCCTTAGCCAAAAAGATATTCCCTTGTATGTGGAAACCGAATCAGAAACGGCTGTGCTTATACCTAAGCA ATTAACCACCTCCATTAAAACAACCGTTTGTAAAAGTATTACCCCACCAAATAACCAATTGTCGGATTGG AAAAATAATCCACAGCAAAACCAAACGTTAAACCAAGCGTTCAGTAAACCAATACTTGAGATTACCTCCA TTCCGACAGATGACTCGATATCTTACCGGACTTGGATTGAAAAATCAAATCAAACACAAAAACGGCATCA AAATGACCCTCGAATGTATAACTCCAAAACAGTATTCCACCCTGTAAATAACCAATTACCTTCTTGGGTT GACACGGCAGCCGATGCCCCCCAAACGGACCTATTGACAAACTATAAAACAAGACAGCCGTCGCCAAACT TTCCGCGGGACGTACACACATGGGGCGTATCTTCTAACCCGTTTAACTCACCGAACAGAGACCTATATCA AAGTGATTTTAGTGAACCTTCTGACGGCTATAGCAGTGAGAGTGAAAATTCTATCGTACTAAGTCTCGAC GAACATCGGTCATGTCGCGTTCCTAGGCACGTACGCGTTGTTAATGCCGATGTAGTCACCGGTCGACGTT ATGTCCGAGGGACCGCCTTGGGAGCACTGGCACTGTTAAGCCAGGCATGTCGGCGTATGATCGACAACGT TAGATATACACGTAAACTTTTAATGGACCACACGGAAGATATATTTCAAGGCCTGGGGTATGTTAAATTG TTATTAGATGGAACATATATATAAAGTAGCGCCTATTAAAGAAAAAAAAAAAACAACGATTATTTTCTGT GTATTTTTATTTACACCCTACGACTTCTTGAAGCGTTTCCAGATTGTCCCGTGTGTGACAAGGTCTGTCC CTTACCCCCCTGGGGGGTATTTTGGGTTGGGGGCGGGGTAGACTGTGGCACGCCTTGGGCCGCGGGCGGT GATCCGGTTGTTGGCTGGACAGTGCTTGACTGTGCTCCCTGTTGCGGTTGTTGTCCAGAAGACCCCGACA CCACGTGTTGCTGTTGTCCAACGGATGCCGACGTCGTTTGAGGTGGGGGGTGTTGCGGGGATGATCCCGA AAACGCCAACGCGGCGGGCTGTTGTAAAGCAGACTGATCGGCGCTCTGTGTTTTTTGCGGCAATATAGTA GGCCCCGAGATTCCCAAACTCATGGATGGATTTGGGGGTTGTGGTCGTATAATACGCGGGTTAAACGTAC GTTTTAAGCCAACCGTTGGTCTTAACCATGTCATAGGGTCAGTCTCGGCAAACATGGCCGTTCGGCGTAT CGTATTTGCATTATGGTTAGCGCGTGCACGCGCGGCACTGGCCGCGGCTCCCACGGTGTAAATGCTTCTG GCATCAGCGATGTCCACACGGTGACCAGGTTGCAAAGGTCCACTGGCGTTTAAAAGTCGTATTAAAGCAA CGGGGGTGTAAGCCGCAATTGCTTCCACCGAAAATGTGGTGGGGTTGCTGGGATCAAAGACTACACGAGA CGATGCGGGTTGTGTCATCGTTTATTAGTTTACGGGACAATCGATAACAGCATACACGTACATCTGCGCA GGATATGTACGGAAAGGCAATTTATTTCCAGAAAAGCACCGCCCCTAATACAACTACCAGTACAATTACA ATGAACAGGGCATATGTCACGTTAGCTACGGGTAGAGCAAGTTTCCAGACACGCGTAGTTTGGGTATCGG GTAACGCAGGTTTAATGTCACTTTGCATTTGAACAGACGTGTTTGGACTTCCGTTCTCGGGTGGGGATCT GAATGAAGGCCGCCAGCGTATATATTCATCCAAATTATTGCCAGTTTCCTTATACATGTATGCATCCGTG GCGCGGGCCATAAGTTTAATGGTGCGAGATGGATCTTCCGGTCCCATAAAACGAAAGGATAACTGAACAT ATGGCATTCGCACAAAGCAGTTCACCCACATTAAAGCCTGGAGAGGTCGGCGGTCAATACCCCCACCTCG TTTAATTGATTCCAAAGCAGATAGGTTGATACCGGTACTTAACGTTGAACTAAGAATCACGTTATTACTG TCAATGGACACTTCAGCCACTGGTGCGTTAGTCGGACGAAAAAAAAAACCTTGAAATAGCACAGACACCC CCGTATTTTGAATTTTTATGTAAGGGTCACAATCTACTTGCGCCCAATTCGCCATTAAACGCATAATATA CTCTACCGGAAAGGCTTCGGATACGTTGTCTTCGCCGTTAAACTGAAAAACACAACGGGCGGGGGGGCGT TGTGGATCAAATATTGGAAGATCCCCATCGCAACATTGAAGAGCGCTTGGTACCACCAACCGAATACGTT GTAAAAGATTATCTCCGCAACCCCTCCTGCGTTCACTCCGTACATACGTTCTCCGTGACATATTGATCTA AGGTTGCAAACCAAGGCACACGCGTGAAGTATTTAGACCATTTATCGTGGGATATAGGAGGAGTTTGGAG TGATCCACCCCCTGACGACTTATTAATGCGTTTATTTTCCCCATGTATTAAGCATCCTTCAATATTTCAT GCAAATCTAGAAATTTGGCCATGACTCCCGCAAAGCGTTCACGGCGACGGGTCACGCTGGCACTATGTTC ACATGGAACAACATAAGCAGATTTTTCTGAATCGTTACTTTCTTTATGTTTTAAAACGGACGCCAGGCGA CTGGTAAATGATATATAATTTAATTGAGCGTCAGTTGTAGGTAGAATTGCTTCTATTTCCGGGGGAATTA AATTTTCAAACCAAACGGAAAGAGTAAAGGTGCTATCAGCAGGAAAATACTTTGACTCCAGTGCATCGAT ATTTAATAGATTAACATCGGTGTCTGTAATTAAATCGCGGGCCCTCATCCCAGAGATGGATCGGGTAGAA TCAGAAGAACCCATGGATGGATTCGAATCGCCCGTATTCTCCGAAAATACATCTTCTAATTCCGGATGGT GTTCCGACGCATTTTCCGATTCGTACATCGCTTATAATCCAGCCCTTCTGCTAAAAAACGATTTGTTATT TTCAGAATTGTTATTTGCCTCCCACTTAATAAATGTTCCCCGTGCAATAGAAAACAACGTCACTTATGAG GCCTCTTCGGCGGTAGGTGTGGATAATGAAATGACCTCAAGTACCACTGAATTTATAGAAGAAATTGGAG ACGTTTTGGCGTTAGACAGAGCCTGTTTGGTCTGCAGAACGCTTGATTTGTATAAACGTAAATTTGGACT GACACCGGAATGGGTTGCGGACTACGCCATGTTATGTATGAAAAGTCTGGCATCCCCGCCCTGTGCAGTT GTCACTTTTAGCGCTGCCTTTGAATTTGTGTATCTTATGGATCGTTACTACCTGTGCCGTTATAACGTTA CTTTGGTTGGGTCCTTTGCCAGGCGCACGCTTTCCCTGTTAGATATACAAAGACATTTTTTTTTGCATGT ATGTTTTCGTACCGATGGAGGGTTACCAGGTATACGACCGCCCCCCGGTAAGGAAATGGCCAACAAAGTA AGATATTCCAATTACTCCTTTTTTGTACAGGCGGTAGTTAGGGCTGCATTACTATCGATCAGCACGTCTC GTTTAGACGAAACCGAAACGCGTAAGTCATTTTACTTTAATCAGGACGGACTGACTGGAGGCCCTCAACC TTTAGCGGCCGCCTTGGCTAATTGGAAAGATTGCGCGCGGATGGTTGACTGTTCATCATCGGAACATCGC ACAAGTGGGATGATTACCTGCGCGGAACGTGCATTAAAAGAGGATATAGAGTTTGAAGATATATTAATAG ACAAACTTAAAAAATCGTCTTACGTAGAAGCAGCTTGGGGTTACGCAGACTTGGCTTTATTATTACTGAG TGGGGTTGCTACTTGGAATGTAGACGAGCGTACAAATTGTGCTATAGAAACTCGCGTTGGATGTGTTAAA TCATACTGGCAGGCGAACCGGATTGAAAACTCCAGGGACGTTCCAAAACAATTTTCCAAATTTACGAGCG AGGATGCCTGTCCCGAAGTAGCATTTGGGCCTATTTTGTTAACTACCTTAAAAAACGCAAAGTGCCGTGG TCGCACGAATACCGAATGCATGTTATGTTGTTTATTAACCATAGGGCACTATTGGATCGCTTTGCGGCAG TTTAAAAGGGATATATTAGCATACTCAGCAAATAACACAAGTTTATTTGACTGTATCGAACCTGTAATCA ATGCATGGAGCCTAGATAACCCCATTAAACTTAAATTTCCATTTAATGATGAGGGTCGATTCATAACCAT TGTAAAAGCAGCAGGTTCCGAGGCCGTATATAAACATTTATTTTGCGATCTCCTATGCGCTCTCTCGGAA TTACAGACAAACCCTAAAATTTTATTTGCCCATCCTACAACCGCGGATAAGGAAGTGTTGGAGTTATATA AAGCCCAACTGGCTGCACAAAACAGATTTGAAGGTCGTGTATGTGCTGGCCTGTGGACATTGGCGTATGC ATTTAAAGCCTACCAGATTTTTCCACGCAAACCAACCGCCAATGCCGCATTCATACGAGATGGAGGACTT ATGCTTCGACGACATGCAATATCGCTGGTCTCCCTCGAACACACCCTATCGAAGTATGTCTAGGCGATAT AAATCCGTATCTCGGAGCGGGCCTTCGATGCGTGTACGCTCCAGAACGCCATGCCGCCGTCAAACCATTC GAGGAAAACTTATGTCAAAGGAGCGGTCTGTGTACCGCCATTATTTTAATTACATCGCAAGGTCCCCCCC AGAAGAACTAGCTACCGTTAGAGGCTTAATCGTGCCAATTATTAAGACGACCCCTGTCACCCTTCCGTTT AACTTGGGTCAGACAGTGGCGGATAACTGCCTGTCGTTATCCGGAATGGGTTATCATTTAGGTCTCGGAG GTTATTGTCCGACATGCACTGCATCTGGAGAACCGCGTCTATGTCGAACCGATCGGGCGGCTCTGATACT AGCATATGTTCAGCAGCTTAACAACATATACGAATATCGTGTGTTTCTTGCATCCATTTTGGCGCTATCA GACCGAGCCAACATGCAAGCAGCGTCCGCTGAACCCCTATTGTCGAGCGTATTGGCACAACCGGAATTAT TTTTTATGTATCATATTATGAGGGAGGGGGGCATGCGAGATATACGCGTACTTTTTTATCGTGATGGAGA TGCCGGAGGGTTTATGATGTATGTTATATTTCCGGGGAAATCTGTTCACCTCCATTACAGACTAATCGAT CATATACAGGCCGCGTGTCGGGGGTATAAAATAGTCGCACACGTTTGGCAGACAACATTTTTACTGTCGG TATGTCGCAACCCAGAACAACAAACAGAGACTGTGGTGCCATCCATTGGAACATCGGACGTTTACTGTAA AATGTGTGACCTTAACTTTGATGGAGAATTGCTTTTGGAATACAAAAGACTCTACGCATTATTTGATGAC TTTGTTCCTCCTCGGTGATTTCAGCTTCAGTGTTCATTTTATTATCCCAGCACGGGGCGTGTATACAAAC AAAGCCTGCCGCCTGCAAGCGGTTTAGCATTTTAACGTTAACAACTCGTGTCTCTGGAATAAAACGTTTT AAAAGCCGTTCTGTGAGTTTAGTGTCGTTTCCAAATAACGCCTTAAAAGTTACACTCGCCGTCCCAATGA GATGAGAAAAATAATAGTCAATGTTTAAAGACAGCCCGTGTGATGTTACGTGAATGGGATCTTCCGCTAA GTCAGATATTATTAACTTACGCTTTGCTTCCCCACACCGTTTACCTGCGGTATTCTGTAAAGGATCTCCA CGTAGCAAAGCTACACTTTTTGCATCAGCCTCCACTTCGTCTGTGGGGGCCACAATAACATAAGGGATGC GTTCTCGAACGTTTGGGATTTGACCCTGTCTCATTACTAATTTATAATATACTGTTAAGTGAGCCAAGCG ACGGTTTATGTAGGCGGATGGTGGACGACTAAGCTCGGCCGTCATAACAAACTTATTAATATCCAATTTG GGTGATGTAATCTGGCGATGTGCATCTGCAATTATGCGTCCAAACCCGGCCATCCCAGACGGCATGGCCC GTCTATTCCATTCAGCAATGGAAACACACGACGCCTCCGCCGCAGCACGCGAGACGGTGTCGTCATATAA CAACAGTTCTACAAGTTTGCGGGCATAATCGTTAATAAATTGACAGTTGTTTTTTCTAACCAAGTCGACT CCCTTCATTAAAACCTTTCCGCCGTAAATTACCCCAATGTACTTTTTCTTTGTTATAAGCAAAAGTTTTA TAAAAGTTTTTTCACACTCCAACTTTATAGGAGGACAAAACAGAGCCGTTGAAATTATATGTGCCATTTT CTCGCCGATTTTAGCTATCCCCTCAACACTAACACCCTTGAATCGGATAAACACAGAATCCGTATCTCCA TATATAACCTTTACCTCGTACGCTTTTTGGGAGAGAACGCTACTTTCAATGTCTGGAAACGCTGTAATAA AACGTTCAAATGCGGCCCAGTTATTATGAATATAATCTCTGGTACTTAATAACATTTGACGGCCAATTGT AGTGACAGTGGCCGCTACGTATAAACATGGCAGAAATCCCTGCGCAACTCCAGTAAAACCGTACACGGAA TTACAAACTACTTTTATCGCGGCTTGTTGTTTGTCTAATAACACTGCTTCATCTGAAGAACTTCCGGGTA TGCGCGCTCTAATAGCCTTGCGCATAGCCAACCAGTCTTTTAAAAGAACACCCAGCAGACTTTCTCGAAC GTTAGAGCGCACAAAAAAAAGACGTTTTCCTCCAACTGTAAAGGTGGCATAATCGGATGGATTCAAACGT TTAACCGTCTCAAAATTTAACGTTAGCGTGGTAAAACATAAGTTATGGGCCTGAATTATACTTGGATATA AACTTGCAAAATCCAATACGACCACCGGATCGATATAAAATCCCGTATCAGGGTCAAAAACCCTGGCTCC TTTATATCCTACATTTCGCCCACTTGACGTACCAGTGGGAGAAACGCTCTCGTCTTCATCCATCTCTTCC TCAACATCCCCGACATCGGGAATAACATCCTTATATTCAAAAGTAGCTGGGTATCCCCCATCGGGTAAAA TAAATCCTCGAGACGAAGCCAGTCCTAATAAACAGGTGTAAATCCTAACCTGCTGTCCGTCGTAAATAGC CTTGGTTAAAGTAATTCTAGCTAGCCTTGCAACCGCGGATAACTCAAGGTGTGGTAAATATTTAAAAAAC AGTTTCCCCACAAGAGCCGAGTCTTGTATACAATATTCACCAATAATTCCTCGTGTATTCGGTCCACTAG CGTAATATCCCGGAATGTCTTTGTAGGGCAAATCTCTCTTGGACTCATTTAGAGCTTCACGTGCAACCGA ATCTAATTTATAACTCGAGAGTTTTAATTTTTCAGTTGCAATTGCATACATATCCAGAGATATGAGACCG TTGATCTTTACCTTGCTTCGTCGCTGAAATCCGGATTTGCCAACATCCCATATCTTAAACAGACCCCCAC GGTTTATACTGCCATAACCATCAAGCTTGAGACTGTATATAGAATTAAGTTTCTCCATAATAAACGCCCA ATCAAAATTAACAATGTTATAACCTGTGGCAAACTCGGGAGCGTACTGTTTTACGAGGGTCATAAATGCA ATTAATAGCTCGAATTCACTATCAAACTCCAGCACAGTCGGCTCCGGTAACCCCGCGTCCTTCATTTCTT GTACATACCTTTGTGGTAAGTCACAAGAGCCAAGGGAAAACAGTAAAATGTGTTCTAAAGACTGTCGAGG GATTGAATATAATAGACAAGAAATTTGGATTACAAGATCCTCCAGATGTGTTGCATCGGGAAACGCCAGC TCATTAGATCCTCCTGATTTACATTCAATATCGAAACATAACAACTTGTAGTCAGGCCATGAGTCATCGT TTGGTATAGCCTGCAGATTATCCGACATGCAGTCAATTTCAACGTCGCTTAACGTTAATTGGCGACTTGC CGGTCGAACTCGAACACGTTCCCCATCAACTCCAGGTTTTAGTTGATACCAACCAAAACTAACAAAGCCG GGATTATCCATTAGAAAACGAGTGGTAGCGTCTACCCGACCTTCATACTTTTTCAACTCCGGGTGAAAGT TATCACAAAGATAATTTGTAAATTTAGATGAGGGAGAATACACCCTGTAAAACGCACATGGCTGTGTATC GTAGTAATAAACATCTGTGCGCTCAATAACCTCAACGCGAAAGCTTTCTGGAGATGCGCTTTTAAACGAG GTACCATGAAAAGCGTTCTTGTCTCCATTTAACGTTGCATCATTTTGTGTTATCATAGAACTGCGTAAAC ACTCGGCAAGTAATACAGATAACTCGCTACCGGAACGTATGCCACAAGCGGTATCCACCTCGGCTTTGTT TATATAAAAATATTGACAGATGCCGTATACATGAACTGCCACCCTTTTTCCACATCGGGACATGCCAAGT AAAGTAATAACGGTACCAAGCGGTCGTGTTGCAGTTGCAAACCGGGATACATCTCCATTAGACGCGGCTT CTGTTGTTTCGACAATATCATATACATGGAATGTGTTAAAGCGGGGGTCAAACTTATCCCCACGAAAGTC GATTTCCCCCCAAATATTCACGCGTCTAGGCCAGGGGCTGGAACAACGAAAATCCAGAATCGGAACTTCT TTTCCATTACAGTAAACTTTAGGCGGTCGACTAAGTGTACCGACGTGAACCCCCTTTCGTTCTTCCATGG GCACATCTTCATCTAAACATTTAGGGGCCAAAAATTGAAACGATGACATGGTAGTTTTGTAACTATGAAG AAATTCTCTGTTACTACCGCGCCCGGTTCTTGGGTTATATTTAATCCCTGATGCTTGGGTTAAAAAGGGA TTACAAAACCCCGTTCTGATCGCCATTTTATGTTAACGATTGATAATCTTGTAAAAAGCCAGTGTTACTG AGTAACACAACCCCACGCCCTTCTAATACATAAAGTGTAATCACGTGATTTGTTGTGGTTTCCGCATATG TAATACCCGTTTAAAAGCCTCTCTTCTTAATGTATCGACAGACTGGGTTTTGGGTGGTCATTTGACCCTG CCAACAACCCCCCATTATTACGAGTACTTCACCAAAATGGAAAATACTCAGAAGACTGTGACAGTGCCCA CGGGGCCCCTGGGTTACGTTTATGCGTGCCGGGTTGAAGATTTGGATCTGGAGGAAATTTCATTTTTGGC CGCTCGTAGCACGGACTCTGATTTGGCTTTATTACCTTTGATGCGTAATTTGACCGTGGAAAAAACTTTT ACATCCAGCCTGGCGGTGGTTTCTGGAGCACGCACTACGGGTCTTGCCGGAGCTGGTATTACCTTAAAAC TCACTACCAGTCATTTCTATCCATCTGTCTTTGTCTTTCACGGAGGCAAACACGTTTTACCCAGCTCCGC GGCCCCAAATCTCACACGCGCGTGTAACGCGGCTCGAGAACGGTTTGGGTTTTCACGCTGCCAAGGGCCT CCTGTTGACGGTGCTGTTGAGACGACCGGCGCTGAGATATGCACCCGCCTTGGATTAGAGCCAGAAAATA CAATATTATACTTGGTGGTCACGGCATTGTTTAAGGAAGCCGTATTTATGTGCAACGTGTTTCTGCATTA TGGAGGACTCGATATTGTTCATATTAACCATGGGGATGTTATACGTATACCGTTATTTCCGGTACAACTT TTCATGCCCGATGTTAACCGTCTGGTACCCGACCCATTCAACACTCATCACAGGTCTATCGGAGAGGGTT TTGTATACCCAACACCCTTTTATAACACCGGGTTGTGCCATTTAATACATGACTGTGTTATTGCTCCCAT GGCCGTTGCCTTGCGCGTCAGAAATGTAACTGCCGTCGCCCGAGGAGCGGCCCACCTTGCTTTTGATGAA AATCACGAGGGGGCAGTACTCCCCCCTGACATTACGTACACGTATTTTCAGTCCTCTTCAAGTGGAACCA CTACCGCCCGTGGAGCGCGTCGAAACGATGTCAACTCCACGTCTAAGCCTAGCCCATCGGGGGGGTTTGA AAGACGGTTGGCGTCTATTATGGCCGCTGACACAGCCTTGCACGCAGAAGTTATATTCAACACTGGAATT TACGAAGAAACTCCAACAGATATCAAAGAATGGCCAATGTTTATAGGCATGGAGGGCACTTTGCCAAGGC TAAACGCTCTGGGGTCATATACCGCTCGTGTGGCCGGGGTCATTGGTGCGATGGTTTTCAGCCCAAATTC TGCGTTGTATCTAACTGAGGTGGAGGATAGCGGGATGACCGAAGCCAAGGATGGGGGACCGGGTCCATCA TTTAATCGATTTTACCAGTTTGCCGGACCTCATTTAGCTGCGAATCCCCAAACAGATCGAGATGGCCACG TTCTATCCAGTCAGTCTACGGGTTCATCAAACACAGAGTTTAGCGTGGATTATTTGGCACTCATTTGTGG ATTTGGAGCACCCCTGTTGGCGCGACTGCTTTTTTATCTAGAACGCTGTGACGCTGGTGCGTTTACAGGG GGTCACGGGGATGCGTTAAAATATGTTACGGGGACCTTTGACTCTGAAATTCCATGTAGTTTATGTGAAA AACACACGCGGCCGGTATGCGCTCACACAACAGTACACCGACTTAGACAACGCATGCCGCGATTTGGACA AGCCACCCGTCAACCTATTGGGGTGTTTGGAACAATGAACAGCCAATATAGCGACTGCGATCCTCTAGGA AACTATGCTCCATATTTAATCCTTCGAAAACCCGGGGATCAAACGGAAGCAGCAAAGGCAACCATGCAGG ACACTTATAGGGCTACACTAGAACGCTTGTTTATCGATCTAGAACAAGAGCGACTACTGGATCGCGGTGC CCCATGTTCTTCCGAGGGACTATCGTCTGTCATTGTGGATCATCCAACGTTTCGTCGCATATTAGACACA CTGCGTGCGCGTATAGAACAGACAACAACACAATTTATGAAAGTGTTGGTTGAGACCCGCGATTATAAGA TCCGTGAAGGATTATCCGAAGCCACCCATTCAATGGCGTTAACGTTTGATCCATACTCAGGAGCATTTTG TCCCATTACCAATTTTTTAGTTAAACGAACACACCTAGCCGTGGTACAAGACTTAGCATTAAGCCAATGT CATTGTGTATTTTACGGACAGCAAGTTGAGGGGCGGAACTTTCGTAACCAATTCCAACCTGTTTTGCGGC GGCGTTTTGTTGACCTGTTTAATGGGGGGTTTATATCAACACGCTCTATAACCGTAACATTATCTGAAGG TCCTGTATCCGCCCCAAATCCGACATTGGGACAAGACGCGCCCGCGGGGCGTACCTTTGATGGGGATTTA GCGCGCGTAAGCGTGGAAGTTATTCGGGATATACGAGTTAAAAATAGGGTCGTTTTTTCAGGTAACTGTA CAAATCTCTCTGAGGCAGCCCGGGCAAGGCTTGTAGGCCTTGCAAGTGCGTACCAACGCCAAGAAAAAAG AGTGGATATGTTACACGGGGCCCTAGGGTTTTTGCTTAAACAGTTTCACGGCCTGTTATTTCCTCGGGGT ATGCCACCAAACAGTAAATCCCCCAACCCGCAGTGGTTTTGGACCCTGTTACAACGCAACCAGATGCCGG CAGATAAACTTACACACGAAGAGATTACCACTATTGCAGCTGTTAAACGGTTTACCGAGGAATATGCAGC AATAAACTTTATTAATCTACCCCCAACCTGCATAGGAGAATTAGCCCAGTTTTATATGGCAAATCTTATT CTTAAATACTGCGATCATTCACAGTACCTTATAAATACCTTAACTTCTATAATTACGGGTGCCAGGCGCC CGCGTGACCCATCATCCGTTTTGCATTGGATTCGTAAAGATGTCACGTCCGCCGCGGACATAGAAACCCA AGCAAAGGCGCTTCTTGAAAAAACGGAAAACTTACCGGAATTATGGACTACGGCTTTTACTTCAACTCAT TTAGTCCGCGCGGCCATGAATCAACGTCCCATGGTCGTTTTAGGAATAAGCATTAGTAAATATCACGGAG CGGCAGGAAACAACCGCGTCTTTCAGGCAGGGAATTGGAGCGGTTTAAACGGGGGTAAAAATGTATGCCC GCTATTTACATTTGATCGCACTCGCCGTTTTATAATAGCATGTCCTAGAGGAGGTTTTATCTGCCCCGTA ACAGGTCCCTCGTCGGGAAATCGAGAAACCACCCTATCCGACCAAGTTCGCGGTATAATTGTCAGTGGCG GGGCCATGGTTCAATTAGCCATATACGCCACGGTTGTGCGTGCAGTGGGCGCTCGAGCACAACATATGGC ATTTGACGACTGGTTAAGTCTTACAGACGATGAGTTTTTAGCCAGAGACTTGGAGGAGTTACACGACCAG ATTATCCAAACCCTGGAAACGCCCTGGACCGTAGAAGGCGCTCTAGAAGCAGTAAAGATTCTAGATGAAA AAACGACAGCGGGAGATGGGGAAACCCCCACAAACCTAGCATTTAATTTTGATTCTTGTGAACCAAGCCA TGACACCACATCTAACGTATTAAACATTTCAGGGTCAAACATTTCAGGGTCAACTGTCCCTGGTCTTAAA CGACCCCCCGAAGATGACGAACTCTTTGATCTTAGTGGTATTCCCATAAAACATGGGAACATTACAATGG AAATGATTTAACCTCCCTCTTTATCCAATTAAAGCCCACACGCGGGTGAGTGTACGTAATAAACAAGTCA ATATTACATATTCTGTTGTGTTTTCTTTTTTTGTGTGTAGTCCTTACCCATATGACCTGTAATATAGTGT GTCTCCAACCATTCAGCTTACAGTCCAGTGGACAGTAACAGCCCGATAACATGGAATTGGATATTAATCG AACATTGTTGGTTCTACTGGGTCAAGTTTATACGTACATCTTTCAGGTTGAACTGCTACGTCGATGTGAT CCAAGGGTGGCGTGTCGCTTTTTATATCGGTTAGCGGCTAACTGTTTGACAGTTCGTTATTTATTAAAGC TGTTTCTCCGGGGATTTAATACCCAGCTAAAATTTGGAAACACTCCCACGGTTTGTGCACTGCATTGGGC ATTATGTTATGTAAAGGGAGAAGGTGAGCGTTTGTTTGAGTTGCTACAACATTTTAAAACGCGTTTTGTT TATGGTGAGACTAAAGACTCAAACTGTATCAAAGATTACTTTGTCTCAGCGTTTAACTTAAAAACCTGCC AATATCACCATGAGCTGTCGTTAACAACATACGGAGGTTACGTATCGAGTGAAATTCAGTTTTTACACGA CATTGAGAATTTTTTAAAACAGCTTAATTACTGCTATATTATCACGTCTTCTCGTGAGGCGCTAAACACA TTGGAAACCGTGACGCGGTTTATGACAGATACTATAGGAAGCGGTCTAATACCACCCGTGGAGTTGTTTG ATCCGGCGCATCCATGTGCTATATGTTTTGAAGAATTATGTATAACAGCTAACCAAGGTGAGACCTTACA TCGTAGATTATTAGGATGTATCTGCGATCACGTTACTAAGCAAGTTCGGGTTAACGTGGATGTTGACGAT ATTATTCGGTGTTTACCATATATCCCTGATGTACCGGATATCAAACGTCAATCCGCCGTTGAAGCGTTAC GAACACTTCAAACCAAGACGGTAGTCAATCCCATGGGAGCAAAGAACGATACGTTTGACCAAACATACGA AATTGCGAGCACCATGCTTGATTCTTATAATGTTTTTAAACCTGCCCCTCGGTGTATGTACGCCATCAGC GAGCTTAAATTCTGGTTAACGTCTAATTCCACTGAAGGACCCCAACGTACTTTAGACGTGTTTGTTGATA ATTTGGATGTATTAAACGAACATGAAAAACACGCAGAACTTACAGCCGTAACGGTTGAGTTGGCGTTATT TGGAAAAACTCCCATACACTTTGATAGGGCGTTTTCTGAAGAACTCGGATCTCTGGATGCAATTGATAGT ATTTTGGTTGGCAATCGCTCATCCTCACCAGACAGTCAGATAGAAGCATTAATTAAAGCCTGTTATGCCC ATCATCTATCGTCGCCTCTCATGCGTCACATTTCTAACCCGAGTCATGATAACGAAGCCGCCTTACGCCA ACTTTTAGAAAGAGTTGGGTGTGAGGATGATTTAACCAAAGAGGCGAGTGACAGCGCTACAGCATCCGAA TGTGATCTGAACGATGATAGTAGCATAACTTTTGCTGTTCATGGATGGGAAAACCTGTTATCCAAAGCAA AAATTGACGCTGCGGAAAGAAAACGAGTATATCTTGAACATCTGTCTAAGCGCTCTCTAACCAGCCTCGG TAGATGTATCCGCGAACAGCGCCAAGAGCTAGAAAAAACACTCAGGGTAAACGTTTATGGAGAGGCCTTA TTGCAGACATTTGTTTCGATGCAAAATGGGTTTGGGGCACGAAACGTGTTTTTAGCTAAGGTTTCCCAGG CAGGGTGTATTATCGACAATCGCATTCAGGAAGCGGCCTTTGATGCACATAGATTTATAAGGAATACCTT AGTTCGACATACAGTAGATGCGGCTATGTTACCTGCACTTACACATAAATTTTTTGAGTTGGTCAACGGC CCATTGTTTAATCACGATGAACACCGTTTTGCACAACCCCCTAACACCGCCTTATTTTTTACCGTGGAAA ACGTTGGCCTATTTCCGCACTTAAAAGAGGAATTGGCAAAGTTTATGGGCGGTGTCGTTGGTTCCAACTG GCTTCTCAGTCCATTTAGGGGCTTTTATTGCTTTTCTGGGGTAGAAGGCGTTACTTTTGCACAGAGACTT GCCTGGAAATATATTAGGGAGCTTGTGTTTGCAACCACACTATTCACCTCTGTTTTCCATTGTGGGGAGG TGCGGTTATGTCGCGTTGACCGTCTAGGTAAGGATCCACGCGGGTGCACGTCTCAACCTAAAGGTATAGG CAGTTCCCACGGACCCTTAGACGGCATTTATTTAACGTACGAAGAAACATGTCCCCTTGTGGCTATTATT CAAAGTGGAGAAACAGGGATCGACCAGAATACCGTCGTAATCTACGATTCAGACGTTTTTTCTCTTCTAT ACACCCTAATGCAGCGGCTGGCTCCGGATTCAACGGACCCGGCGTTTTCATAACCTCCGTTACGGGGGTG TGGTTATGCTTTTTATGCATATTTTCTATGTTTGTTACGGCGGTTGTGTCGGTCTCTCCAAGCTCGTTTT ATGAGAGTTTACAAGTAGAGCCCACACAATCAGAAGATATAACCCGGTCTGCTCATCTGGGCGATGGTGA TGAAATCAGAGAAGCTATACACAAGTCCCAGGACGCCGAAACAAAACCCACGTTTTACGTCTGCCCACCG CCAACAGGCTCCACAATCGTACGATTAGAACCAACTCGGACATGTCCGGATTATCACCTTGGTAAAAACT TTACAGAGGGTATTGCTGTTGTTTATAAAGAAAACATTGCAGCGTACAAGTTTAAGGCGACGGTATATTA CAAAGATGTTATCGTTAGCACGGCGTGGGCCGGAAGTTCTTATACGCAAATTACTAATAGATATGCGGAT AGGGTACCAATTCCCGTTTCAGAGATCACGGACACCATTGATAAGTTTGGCAAGTGTTCTTCTAAAGCAA CGTACGTACGAAATAACCACAAAGTTGAAGCCTTTAATGAGGATAAAAATCCACAGGATATGCCTCTAAT CGCATCAAAATATAATTCTGTGGGATCCAAAGCATGGCATACTACCAATGACACGTACATGGTTGCCGGA ACCCCCGGAACATATAGGACGGGCACGTCGGTGAATTGCATCATTGAGGAAGTTGAAGCCAGATCAATAT TCCCTTATGATAGTTTTGGACTTTCCACGGGAGATATAATATACATGTCCCCGTTTTTTGGCCTACGGGA TGGTGCATACAGAGAACATTCCAATTATGCAATGGATCGTTTTCACCAGTTTGAGGGTTATAGACAAAGG GATCTTGACACTAGAGCATTACTGGAACCTGCAGCGCGGAACTTTTTAGTCACGCCTCATTTAACGGTTG GTTGGAACTGGAAGCCAAAACGAACGGAAGTTTGTTCGCTTGTCAAGTGGCGTGAGGTTGAAGACGTAGT TCGCGATGAGTATGCACACAATTTTCGCTTTACAATGAAAACACTTTCTACCACGTTTATAAGTGAAACA AACGAGTTTAATCTTAACCAAATCCATCTCAGTCAATGTGTAAAGGAGGAAGCCCGGGCTATTATTAACC GGATCTATACAACCAGATACAACTCATCTCATGTTAGAACCGGGGATATCCAGACCTACCTTGCCAGAGG GGGGTTTGTTGTGGTGTTTCAACCCCTGCTGAGCAATTCCCTCGCCCGTCTCTATCTCCAAGAATTGGTC CGTGAAAACACTAATCATTCACCACAAAAACACCCGACTCGAAATACCAGATCCCGACGAAGCGTGCCAG TTGAGTTGCGTGCCAATAGAACAATAACAACCACCTCATCGGTGGAATTTGCTATGCTCCAGTTTACATA TGACCACATTCAAGAGCATGTTAATGAAATGTTGGCACGTATCTCCTCGTCGTGGTGCCAGCTACAAAAT CGCGAACGCGCCCTTTGGAGCGGACTATTTCCAATTAACCCAAGTGCTTTAGCGAGCACCATTTTGGATC AACGTGTTAAAGCTCGTATTCTCGGCGACGTTATCTCCGTTTCTAATTGTCCAGAACTGGGATCAGATAC ACGCATTATACTTCAAAACTCTATGAGGGTATCTGGTAGTACTACGCGTTGTTATAGCCGTCCTTTAATT TCAATAGTTAGTTTAAATGGGTCCGGGACGGTGGAGGGCCAGCTTGGAACAGATAACGAGTTAATTATGT CCAGAGATCTGTTAGAACCATGCGTGGCTAATCACAAGCGATATTTTCTATTTGGGCATCACTACGTATA TTATGAGGATTATCGTTACGTCCGTGAAATCGCAGTCCATGATGTGGGAATGATTAGCACTTACGTAGAT TTAAACTTAACACTTCTTAAAGATAGAGAGTTTATGCCGCTGCAAGTATATACAAGAGACGAGCTGCGGG ATACAGGATTACTAGACTACAGTGAAATTCAACGCCGAAATCAAATGCATTCGCTGCGTTTTTATGACAT AGACAAGGTTGTGCAATATGATAGCGGAACGGCCATTATGCAGGGCATGGCTCAGTTTTTCCAGGGACTT GGGACCGCGGGCCAGGCCGTTGGACATGTGGTTCTTGGGGCCACGGGAGCGCTGCTTTCCACCGTACACG GATTTACCACGTTTTTATCTAACCCATTTGGGGCATTGGCCGTGGGATTATTGGTTTTGGCGGGACTGGT AGCGGCCTTTTTTGCGTACCGGTACGTGCTTAAACTTAAAACAAGCCCGATGAAGGCATTATATCCACTC ACAACCAAGGGGTTAAAACAGTTACCGGAAGGAATGGATCCCTTTGCCGAGAAACCCAACGCTACTGATA CCCCAATAGAAGAAATTGGCGACTCACAAAACACTGAACCGTCGGTAAATAGCGGGTTTGATCCCGATAA ATTTCGAGAAGCCCAGGAAATGATTAAATATATGACGTTAGTATCTGCGGCTGAGCGCCAAGAATCTAAA GCCCGCAAAAAAAATAAGACTAGCGCCCTTTTAACTTCACGTCTTACCGGCCTTGCTTTACGAAATCGCC GAGGATACTCCCGTGTTCGCACCGAGAATGTAACGGGGGTGTAAATAGCCAGGGGGTTTGTTTTAATTTA TTAATAAAAATGTGTATTACGTTACTCATGTGTCTCCATTACGCATCACAGGGGGTATTTATACCCGATA ATATACAAAACGCGTTTTGTACCTCTACCGCACCCGATATCTTAACGGGGTTATTATGGAATCGTCTAAC ATTAACGCGCTACAACAACCGTCGTCTATCGCACATCATCCGTCCAAACAGTGCGCTTCAAGTCTCAATG AAACAGTAAAAGATTCTCCCCCCGCGATTTATGAAGATAGGTTAGAACACACGCCGGTACAATTACCCCG CGACGGTACACCCCGAGACGTATGTTCTGTGGGACAGCTAACCTGTCGAGCATGTGCAACGAAACCTTTT CGCCTTAACCGCGACAGCCAATACGACTACTTAAACACATGTCCAGGGGGCCGTCATATTTCACTGGCAC TGGAGATTATAACGGGTCGATGGGTTTGCATCCCGCGTGTGTTTCCGGATACCCCAGAGGAAAAATGGAT GGCGCCATATATTATTCCAGACCGAGAACAACCATCATCAGGGGATGAAGATTCTGACACCGATTAAATT TAACTTAAATAAAACCTTACCACCCATAAAAACGCCTTCTGTTTGTTTAACACGACACCGCTTAACAAAA AAAAAAAAACCAAACACGCCTTTTATGAATGTAATACTTTTATTTGTTGGTTAACACCGCCCCACCATCA TCTGATTTGCAAACATATCGGCGTCGTCTGCCGTGGACCCCTGTATTAAAGGGGCCTTGGAACTCGCCTC CACTGCATTTACATCTTGTCCAACTGTATCTGTATGTGGGGTGCTTGTTGTATTTTGGGATGAGCATAGA CCCGAAACGCTTTGAAGCTGTTTTAATAAAATCGATATTCGAGGATCCCGTGTCCCCTCTGGTATATTTG TATGGTGCGACAAAGGCATTTGTGTCCCATTTTGTGATTTTAGCTCTGTAACCTCCTGTTGCAGTTTTGC CACAACCCCAGCAAGCTCTTCGTGCTGACCATTAGAAACTCTGTGTCTCCTCTGCCAATATGATGGAGAA ACTCGACGTCTCCGATGCGTTATATACGTTGGTTCACCGGGAAAATATATATTTGAGGGAAACTCTCCGT CCATTTGAGACTCCCCACTATAAAAAGAATCCAATTCCCTTTGATCCATGCTCTTGAAATCCCGTTTTCC TGGACGACGGACATCGGTTTTGTCTGGAAAATTTACACACGGGGTCTGCAAGTCAATACCCCGTTCGGCG GCCAATGCGTTCATAAATGCGGACATTTGCATTTCCAAACGATTGGGTGGTGGATATCCCGGAAACCCGT ACGGTCCCCCGAAGTGTCCCGGAGGGCAACCATAACCCCCTGTATTAGGTGGGAAGGCAGGCGGGTGTGG AGATCCATATGGCCCGACGATATACTGTCCGTTATTTGGAGCTCCAATTGATACCTGCGGATTTTTAGTC TGCCCGGTTAACAGCTGTGAATAATACGCGGTAGGTATCAGTACAAATTCCCCTCCGGTTGGAACGCCCG ACGGGGGCTGTGGTGAGATATTACTAGCGTTACCTGCTACAGAAGCCATATCGCTGTCGTTCCTACACAA CTGCGTAACCTTTAAATGCGGAACAGTCTTTTCACAATCTTCATTTGATTCCCCAACACCCAACGCGAGA TCGTATATGGGCCCGCCGGGGTGGAATGTGGCGTTTATAACACCCGCGTTGGGTAATTTAGACTCCACCC CATTAACGTTGGTTATCCGAGCAAGTCCATATCCGGTGCTAGCCTGAAGATAAACGTGACCCATAATTCC GGCTTCGCGTCTACGTTTTGCAACCACGTCCCATCTATCTCTTAAAAGCATATTGTTCACGGCTGTGGAT AATAACACCTTGGCGAGTTTATCTTCGCTAACCTTCCATACTTTATTTAAACCCGCGTAGTCTTTAACCA GCGACAATAACCGCGCTTTACTTTCCATCGATAAAACCCGGAATGGTTCAATTGAAGATTCCGGGGTACA GTCATAATTGACCACTGTTCCAACGCGTCTTCCAACAACACATAACGCAACATGGGTAAAAAAATTACCG TCTGGTATCTCATTCGGGGACAATCGTTTTGAAGACAGGGATACGGAGGGTAAGTAATTTGTGACCAAGT ATAACGCACGTTCTAGCGGAGATAATACAGAATCTCTATTTCCAAAAAAATTCGAATGGGCCGCTTCAAA CAGCACCGCATGTAGTTGAGGGCATCTAACGATACCCAAAAAAAAAGGTCCGCGTATGTCCTCAATGATT GCGATTACTTCACCCACGACACAGTCTTTTCGATGATCGATGTTTATTGGTATTTTACTAGTAGGCGGCA AAGCGGACCGCACAATCTCTGGGGTAATATTTAATTCCCCTTCGTCCTTTGAATATAAGGCTAAATACCC AGCCACGTATAACGCTTCACAGTTCTCTTCGTCAGCTTCAGCAGCCATTATAAACACCCCACGGACCGGA TAGTGAATACTCACGGTGTGGAGGCAAACTGAGGAATGACACCCAAACAGACAAAATATAGAAGATCATA GTCACTGTTAACGTTGAACTGCGCAAGGCGGCGACTTTCTTCCAATGCCGCCCTTACACGCGGTTGGTGC ATTAACATTCCAAGTCCCCGTTCATATTGCAACATAACACTGTCATGTATTGATACCACGGCGGCTATGG GTAGGGATGTAACATTTTGTCGGCGGTGTTCTAATTCCAATGCAATTAAGCTTATGAGCCGATCTTGGTA CTGTCCAGAAGAAATATCTATTACGGTTCTTCCTAAACTTCCACGACTAAGCTGGGTATGCGCGTCTAAA CAAAGAGCAACTAATCCAGGAAACATTTCAGTCAGCTCTGTGGTCCGATTTAACGTATACAGTGGTGCTA TATATCGTTCACATAAAAATTGAAAGTTATTATTACCGCTTTTAAACTTCCCATCAAACCCCGTCGCTCC GCGCAAGATTACATTGTTGGTAGGGGTTCCTGTTGCTTCTGACACAATCAAACCCAGTTGAAAATTATTT TTTAGTTTATCTCCGTATACGTTCCCGTTCCATAATAAGCGCCTTAATAATAATAACGCCGTAATCGTGT CAATTGTTAACCTTAATAGAGTTTGGTCTTCCATAAGAAACACGTTTTGGGCCCGTTCTAAATACGCCGC GGCCGCCTGTTGAATCTTGTCCACATATGCGGTATGATTGCGATCAATAATGTCATTAACCCCAGGATTA AACTGTCCAGGTGCAGGCGGTAGGACCTGCAACCGTATAAGCGCATCCATAACAGAATGTGACGTTAAGG CGCCTTGATCATACCGCCCCCCACGAGCATGAAACTGGTCGCGTGGTAGACGATCATAGCAAAATTGATA ACTGTTTTTATTTTCGTGTGTTGTCATATAATTCACAAATGTCTCAGTATATTCCGGTAGGTGCTCTATA AGGTTCCCGAAGGACGAAACTTGAGGTTCGTGGACACTATTAGATGTCCTATACATTAAATATAAACATA ATACCGCACACTCGAACGCGGAGTACGCTCTATCTCCAACATACATTCTCCCGGCGGACTGTAGACATGT TACCGTTGTGTTCATAAACGTACGGGAAATGCGCCCGTCTTTACAATCAACTCCGCGTGCAGCTACGGGC CTATCTAACACAAGCCGTTCCTGCAGAGTACGATACCATGGCCCGAAAACAATCCCTGGAGAGTTATTGC CCCTTGCCCTTCCCAAGTACACCAGGGTGATAAAATCCACTTGAAAGTTTGTATCGTACTGCAACGGTGC ATCATTTTTGGCAATCTGTACCTCGGGGTGTATAGACTCATTGCGTATTATTTCTGTACGTGTACATTCC TCAGATTGTGCATCTGCTTCTTCCGCCTCGGCAGCAGCCGTCTCCAGGGAATCCAAAACCTTGGCCATGC GCGTTAGTTGTTCTTCGAGGGGCTTTAAACGACGATCTATTTCCGTTGGTAACGTAATCGTTTCCCCGCG AAGGTTGTCTAATGCGGCAACGGCCGCCGCATTTTTTAACGTTAACGTATTTTTTTCCAAATCGGGATTC ATACGCCCTCTTAACTCAAACGCGGGAGCCGTCCAGTAGTGTATGGGGAAGTTGGGGGCTATAAAGTTCT TAGTGGTAGACAAAAATATCCCACATTTATTCGGAAACGAGATAGATCCGAACCCATATCTCGCCGTCAT GGTGTCTGCAGCAAACAAAGTCAACTGGCGTGAATATAAACCGGTACTGCTTTAAAAGCTGTTTTCTTAC CCATGGGAAAACATCCCGGTTATACTTTGTAAAATTCCACCACAAGCACCTAAAGAAGGCCTTCTAAGGG GTAAATCCACCCCACAAGCTGCATTTTCTTCAAACTTTGTTAAAGCGGAACGATGGCATGATTTCGCACG CTTTTTCGCAAGAGAACATACGTGAATTTTCTTTTTGCATAGACGTCTTCGCTCTCTAACGGACCTTATC GGGGGGGTATATTCCGCTACATTCTCCAAATGCGACGCTAGCATAACAAGGTTTCCATGAATCACCTTTG GGGGTAACCGAGTTACCTGTAACAGGTTCAGACCCCGTTGAGATACAAACACAAGGAGGGGGGTCACCAT TATTTCATCAGATCCCGTGGGTGTGGTTTCCTTTATTAAAGCCATGGTATCCCTCAGCTGGCGCATACCC TCGCAAAACTGGTGATACTTAGTAGGGGTATGTATATTAGCGCTAAAACGGCAAGATTTTAATTCCACTA TAAAACAAACGGTCTTTCCGGCACCACTGGATTCCGTTTGTATAATACAAACACAATCGGGGCGTCGGCG TCCCAAATTTACTTCAAACGACATTGATATGCGTACAGCCCTTTGAACATCCACGTGGGATAACGGCGAC AGGAGTTTTGCCAGCCTCGGGTTGAACGCGTCCGCGAAACCTCGACGTACGTTATCAATATCCTTTTTGA GTACATCGTAAAAACGAGTGTGGCAACGTTGTCCCAAACGAAAACACTTGGCCCGAATTCGACTAGCGGA CATATTTGAAGTTCCGTCCCAGAAGATAACCTAAGACGCGTTTGTCTACAATAAACATGTCAACGGATAA AACCGATGTAAAAATGGGCGTTTTGCGTATTTATTTGGACGGGGCGTATGGAATTGGAAAAACAACCGCC GCCGAAGAATTTTTACACCACTTTGCAATAACACCAAACCGGATCTTACTCATTGGGGAGCCCCTGTCGT ATTGGCGTAACCTTGCAGGGGAGGACGCCATTTGCGGAATTTACGGAACACAAACTCGCCGTCTTAATGG AGACGTTTCGCCTGAAGACGCACAACGCCTCACGGCTCATTTTCAGAGCCTGTTCTGTTCTCCGCATGCA ATTATGCATGCGAAAATCTCGGCATTGATGGACACAAGTACATCGGATCTCGTACAAGTAAATAAGGAGC CGTATAAAATTATGTTATCCGACCGACACCCAATCGCCTCAACTATATGTTTTCCCTTGTCCAGATACTT AGTGGGAGATATGTCCCCAGCGGCGCTTCCTGGGTTATTGTTTACGCTTCCCGCTGAACCCCCCGGGACC AACTTGGTAGTTTGTACCGTTTCACTCCCCAGTCATTTATCCAGAGTAAGCAAACGGGCCAGACCGGGAG AAACGGTTAATCTGCCGTTTGTTATGGTTCTGAGAAATGTATATATAATGCTTATTAATACAATTATATT TCTTAAAACTAACAACTGGCACGCGGGCTGGAACACACTGTCATTTTGTAATGATGTATTTAAACAGAAA TTACAAAAATCCGAGTGTATAAAACTACGCGAAGTACCTGGGATTGAAGACACGTTATTCGCCGTGCTTA AACTTCCGGAGCTTTGCGGAGAGTTTGGAAATATTCTGCCGTTATGGGCATGGGGAATGGAGACCCTTTC AAACTGCTCACGAAGCATGTCTCCGTTCGTATTATCGTTAGAACAGACACCCCAGCATGCGGCACAAGAA CTAAAAACTCTGCTACCCCAGATGACCCCGGCAAACATGTCCTCCGGTGCATGGAATATATTGAAAGAGC TTGTTAATGCCGTTCAGGACAACACTTCCTAAATATACCTAGTATTTACGTATGTACCAGTAAAAAGATG ATACACATTGTCATACTCGCGTGTACGTGTTTTTCTTTTTTATATATGCGTCATTTATTACCACATCCTT TAATCCCGCCTTTATCTCCCTAAAACGGAGTGGTAATATTAAAAGCCGCCAAGCCTGTTGGTGGGTGAGG AGGGGTAAAGGCACGCTGTGTGCATAACGTTGCGGTGATATTGTAGCGCAAGTAACAGCGACTATGTTTG CGCTAGTTTTAGCGGTGGTAATTCTTCCTCTTTGGACCACGGCTAATAAATCTTACGTAACACCAACCCC TGCGACTCGCTCTATCGGACATATGTCTGCTCTTCTACGAGAATATTCCGACCGTAATATGTCTCTGAAA TTAGAAGCCTTTTATCCTACTGGTTTCGATGAAGAACTCATTAAATCACTTCACTGGGGAAATGATAGAA AACACGTTTTCTTGGTTATTGTTAAGGTTAACCCTACAACACACGAAGGAGACGTCGGGCTGGTTATATT TCCAAAATACTTGTTATCGCCATACCATTTCAAAGCAGAACATCGAGCACCGTTTCCTGCTGGACGTTTT GGATTTCTTAGTCACCCTGTGACACCCGACGTGAGCTTCTTTGACAGTTCGTTTGCGCCGTATTTAACTA CGCAACATCTTGTTGCGTTTACTACGTTCCCACCAAACCCCCTTGTATGGCATTTGGAAAGAGCTGAGAC CGCAGCAACTGCAGAAAGGCCGTTTGGGGTAAGTCTTTTACCCGCTCGCCCAACAGTCCCCAAGAATACT ATTCTGGAACATAAAGCGCATTTTGCTACATGGGATGCCCTTGCCCGACATACTTTTTTTTCTGCCGAAG CAATTATCACCAACTCAACGTTGAGAATACACGTTCCCCTTTTTGGGTCGGTATGGCCAATTCGATACTG GGCCACCGGTTCGGTGCTTCTCACAAGCGACTCGGGTCGTGTGGAAGTAAATATTGGTGTAGGATTTATG AGCTCGCTCATTTCTTTATCCTCTGGACCACCGATAGAATTAATTGTTGTACCACATACAGTAAAACTGA ACGCGGTTACAAGCGACACCACATGGTTCCAGCTAAATCCACCGGGTCCGGATCCGGGGCCATCTTATCG AGTTTATTTACTTGGACGTGGGTTGGATATGAATTTTTCAAAGCATGCTACGGTCGATATATGCGCATAT CCCGAAGAGAGTTTGGATTACCGCTATCATTTATCCATGGCCCACACGGAGGCTCTGCGGATGACAACGA AGGCGGATCAACATGACATAAACGAGGAAAGCTATTACCATATCGCCGCAAGAATAGCCACATCAATTTT TGCGTTGTCGGAAATGGGCCGTACCACAGAATATTTTCTGTTAGATGAGATCGTAGATGTTCAGTATCAA TTAAAATTCCTTAATTACATTTTAATGCGGATAGGAGCAGGAGCTCATCCCAACACTATATCCGGAACCT CGGATCTGATCTTTGCCGATCCATCGCAGCTTCATGACGAACTTTCACTTCTTTTTGGTCAGGTAAAACC CGCAAATGTCGATTATTTTATTTCATATGATGAAGCCCGTGATCAACTAAAGACCGCATACGCGCTTTCC CGTGGTCAAGACCATGTGAATGCACTTTCTCTCGCCAGGCGTGTTATAATGAGCATATACAAGGGGCTGC TTGTGAAGCAAAATTTAAATGCTACAGAGAGGCAGGCTTTATTTTTTGCCTCAATGATTTTATTAAATTT CCGCGAAGGACTAGAAAATTCATCTCGGGTATTAGACGGTCGCACAACTTTGCTTTTAATGACATCCATG TGTACGGCAGCTCACGCCACGCAAGCAGCACTTAACATACAAGAAGGCCTGGCATACTTAAATCCTTCAA AACACATGTTTACAATACCAAACGTATACAGTCCTTGTATGGGTTCCCTTCGTACAGACCTCACGGAAGA GATTCATGTTATGAATCTCCTGTCGGCAATACCAACACGCCCAGGACTTAACGAGGTATTGCATACCCAA CTAGACGAATCTGAAATATTCGACGCGGCATTTAAAACCATGATGATTTTTACCACATGGACTGCCAAAG ATTTGCATATACTCCACACCCATGTACCAGAAGTATTTACGTGTCAAGATGCAGCCGCGCGTAACGGAGA ATATGTGCTCATTCTTCCAGCTGTCCAGGGACACAGTTATGTGATTACACGAAACAAACCTCAAAGGGGT TTGGTATATTCCCTGGCAGATGTGGATGTATATAACCCCATATCCGTTGTTTATTTAAGCAGGGATACTT GCGTGTCTGAACATGGTGTCATAGAGACGGTCGCACTGCCCCATCCGGACAATTTAAAAGAATGTTTGTA TTGCGGAAGTGTTTTTCTTAGGTATCTAACCACGGGGGCGATTATGGATATAATTATTATTGACAGCAAA GATACAGAACGACAACTAGCCGCTATGGGAAACTCCACAATTCCACCCTTCAATCCAGACATGCACGGGG ATGACTCTAAGGCTGTGTTGTTGTTTCCAAACGGAACTGTGGTAACGCTTCTAGGATTCGAACGACGACA AGCCATACGAATGTCGGGACAATACCTTGGGGCCTCTTTAGGAGGGGCGTTTCTGGCGGTAGTGGGGTTT GGTATTATCGGATGGATGTTATGTGGAAATTCCCGCCTTCGAGAATATAATAAAATACCTCTGACATAAA AAACATGTATAATAAAAAGTCACTATAAACGTATTCTCTACAATACTTTATTCGCGAATAATACACACTA CCTTTGGGTTTTTTTCCCGTCCCCAAATGGTGTTTGGTGCACTCTACCAAAAAATAGAGCGCCTAAATAT GCTATATAACGCCTCCCAGCAAAATACGGTTCAAAGGCATTACCCGATATTGTATTGTAGTACAGGGCAA TGGGAATTGATGATCCCAATAAACGGCATAGACGCACAGCGCCGTTATAGCAGGGGTCTCCAGAGTACAG GGTATCTAAGTACCGGGATATCTCATACTCATGCCTTTCCGTGACAGAAACATCAACCGGAACAGTATCC GATAAACCAACTCCTGTTTTTGCAAGGCGTAAAATTCGCACACCTTCCTTTTTTGCAAGATGTGACGTTT CCTTGTAACAGGGAAGCTGGGGGAGTGGTAAGAACAACAAAGTTTCAGCCAACGTGCCAATAAAGCCCAC TTCCCTCAAGAGGCTGTTTGCTGTATCCACAATGGTCCGTATTAAATCTTGAGCAACTTGATCCGTGTCA TCATCACTGGGTAACGCGTTAACATAACTACGCGTTAAATCTTCAATAACGGCATAACAATTAAACGCTT CCCACCGAGACAGTATATATTGAACAATCACGAACCGTTGACAGGACGTCAGATCACGTCCGTAAGCATG CCCGAAAAATGGAAGTTCCCCCCGTTCGCCATATACCGCAACAACTGCAGTATATATCGTCTCACGGGCT TCATTAAGTTCATCTTCAAGTCCAGGCCATTTTCTGGCTTTAAATATAACCTCGTCCGCAAAAAAAACCG CACATGATAACGCGCGGATACAATGAGTAGTGGCTTTATGGCGAGGATCCCAAATGTCCATTACCCGGGG GATGGTCCTAATCTGTACAAAGTTACTTAGTGTAATATGATCGGACTTCTTACGCCGTCTAGGCTGTTTC TCAGAATACGGTTCACCCGAAATCGGCACATCATCTGCTTTTACGTCTTCCGTAACCACATCAGCAGCGC GCCGACTAACAATTATACTTGTTTTTTCATCGTCGTTACTTCCGTTAAGCGCGTCTCGTATCTCGGGCGT CCCGTCGAATAATCCACTCACTAGCTCCTGCAAACTTTCTGGTAACTCCAACATACGCATATACACCAAT GAAAAACTGGCTTCGTTTGGTACGTACATAAAGCCATTTGTGGTATTAATGGCGGTGGGTGTTGGAAACA ATTTTAGCTTATTCTCGCGCGTAACATCTACCCCCGCCACCAATGTTAAATGCGTCACGGGGAGGGACAC GAGATAATCTGCGAGCGTAGGGTCCTCCACTTCAACATCAAATGTTCCGCAAAGGTCGCGATCCACCGCC CCCGATCCCGCTGCAAGTAAGGCCACTCGATCCAAAAACACGCAGTTATTATTGGATGATACCGCCCATG TCTTCCCGGTGCGATTGAGCTCACTTCGAACGTAACTGGCAACAGATCTGTCACCGGGTCCGACCCCGCG AACAACATGTCCAAATTTTGCGATCTCGCCTCCATGTTTGCGGGGTATGGAAATTAAGCATCCCCCGCAT ATAAAATACGCCCTGGTAGCACGCTCGTTAAAATAAAACGTTACGCCGTTATAAGATACGGTTGAATGAT ATGGAAATTCCATATTAAAGCGTTTATCGGAACATTAACCTCGAACTTGCCGTCCCGTGATCGTGTGATC GCCAACCTTAGGTCCACACCGAATATGAGAAATATATAACTACACGCAAACATTCAAAACACCGTGGTAT CATTAACGTCATATGAAAAGATCCAATCAATCCAATCAACCACACCTCCTACCGTTTAGCACGTCAGCTA TGTGACATGCTCCAAACATACGTAAACATTTAGAGAGGGTGTTATAACAGTCTGTCAGGCGGGGTATATT CTACATAATACAAGGATCGGCTTTAACTTTGTCAACATTTTTACTTTGGACTATAAACTGCGACTGAACG TTATGAACCCACCCCAAGCCCGCGTCTCGGAACAGACAAAGGACTTGCTTAGCGTTATGGTTAACCAGCA CCCCGAAGAGGACGCAAAAGTGTGTAAATCCAGTGATAATTCACCGCTTTATAACACCATGGTTATGTTA TCGTATGGGGGTGATACGGACTTACTATTAAGCTCTGCATGTACCCGCACATCTACCGTAAACAGGTCGG CGTTTACGCAACACTCCGTGTTTTATATTATATCCACGGTGTTGATTCAACCAATATGTTGTATCTTCTT TTTTTTTTACTATAAAGCGACACGCTGTATGCTCTTATTCACAGCCGGGTTACTTCTGACGATTCTACAT CACTTTCGACTTATTATTATGTTATTGTGTGTCTACAGAAATATACGATCAGACCTGCTACCCTTATCTA CATCCCAGCAACTGCTGCTTGGAATTATTGTTGTGACTCGAACAATGCTATTTTGTATTACGGCGTATTA TACTCTTTTTATAGACACCCGGGTGTTCTTTTTGATTACCGGACACTTGCAAAGTGAGGTTATTTTTCCA GATAGCGTTTCAAAAATACTTCCTGTGTCGTGGGGTCCAAGTCCAGCCGTGTTACTGGTAATGGCGGCAG TTATTTACGCTATGGACTGTTTGGTGGACACGGTATCCTTTATTGGGCCAAGGGTGTGGGTCCGTGTTAT GTTAAAAACATCTATTTCGTTTTAGTCCATTTCAATAAATGTACTATAATTGTTCAGTCTAAAAATAATG TTGGGTATTTATAATTACCGCCCCCGTGTTACTTGGAAACACCCATACATATGTTCCACTCTACATCAAA CTTCTCGCAGTTTTCTTGTTCCCGCACACGTTTACACGTCCGGATTCAAGTCGCAACGCTGCTGACAAAA TGACAACGGTTTCATGTCCCGCTAACGTGATTACTACAACGGAATCTGATCGTATTGCTGGGTTATTTAA CATCCCAGCGGGGATCATTCCAACTGGAAATGTGCTGTCAACCATAGAGGTGTGTGCACACCGTTGCATT TTTGATTTTTTTAAACAAATACGATCAGATGATAACAGCCTTTACTCGGCTCAATTCGATATTCTTTTGG GGACATACTGCAATACATTAAACTTTGTGCGTTTTCTAGAACTTGGACTGTCTGTCGCTTGCATCTGTAC TAAATTTCCGGAGCTGGCTTACGTGCGAGATGGCGTTATTCAATTTGAGGTACAACAACCCATGATAGCA CGTGATGGCCCACATCCCGTCGATCAGCCTGTTCATAATTATATGGTTAAGCGGATACACAAGCGTTCGT TAAGCGCTGCGTTTGCAATTGCATCGGAAGCGTTGAGTTTGTTAAGTAACACATATGTCGATGGGACAGA GATTGACTCATCGTTACGTATAAGAGCTATCCAACAGATGGCTCGTAATTTACGCACCGTTTTGGACTCA TTTGAACGAGGCACTGCCGATCAACTTCTTGGTGTTCTATTGGAGAAAGCCCCACCGCTATCGCTGCTTT CACCAATTAATAAATTCCAACCCGAGGGACATCTAAATCGTGTTGCACGCGCGGCCCTACTTTCGGACCT CAAACGTAGAGTCTGTGCGGATATGTTTTTTATGACCCGACACGCCAGGGAACCTAGGCTGATCTCTGCG TATCTGTCGGATATGGTTTCGTGCACCCAACCATCGGTGATGGTATCACGAATAACTCATACAAACACTC GCGGACGGCAGGTTGACGGTGTGTTGGTAACAACAGCAACCTTAAAACGGCAACTATTACAGGGAATTTT ACAAATTGACGACACCGCCGCTGACGTACCAGTAACATATGGCGAAATGGTTCTACAGGGGACAAACTTG GTAACCGCCCTTGTGATGGGAAAGGCCGTCCGCGGAATGGATGATGTAGCCCGCCATCTCCTTGATATAA CCGACCCTAACACGTTAAACATACCGTCTATACCCCCACAATCCAACTCCGATTCAACGACAGCTGGGCT TCCGGTTAACGCCCGTGTTCCTGCGGATTTAGTGATTGTTGGGGATAAACTTGTATTCTTAGAAGCATTA GAACGGCGGGTCTACCAAGCTACGCGCGTTGCCTACCCTCTTATTGGAAATATAGATATTACGTTTATCA TGCCAATGGGAGTGTTTCAGGCAAACTCCATGGACAGATATACACGACACGCCGGCGATTTTTCAACTGT ATCCGAACAGGATCCACGTCAATTTCCACCCCAAGGGATTTTTTTTTATAATAAAGATGGGATATTAACA CAGTTGACTCTTCGTGATGCAATGGGTACCATCTGCCACAGTTCATTGCTTGATGTCGAGGCCACACTTG TTGCCCTCCGCCAACAACATTTAGATCGTCAGTGTTATTTTGGTGTATACGTGGCCGAGGGTACAGAGGA CACATTGGATGTTCAAATGGGGAGGTTTATGGAAACGTGGGCAGATATGATGCCTCATCACCCTCATTGG GTAAACGAACATTTAACAATTCTACAGTTTATAGCTCCGAGCAACCCGCGTCTAAGGTTTGAATTAAACC CCGCCTTTGATTTTTTTGTTGCACCGGGGGACGTAGACCTTCCCGGACCGCAGCGTCCCCCGGAAGCCAT GCCAACCGTTAACGCAACATTACGGATTATCAACGGAAACATTCCCGTGCCTCTATGTCCCATTTCATTT CGAGACTGTCGCGGAACCCAACTCGGTTTGGGAAGACATACAATGACCCCGGCAACCATTAAAGCCGTAA AGGATACATTTGAAGACCGCGCATACCCAACTATTTTCTACATGCTAGAGGCTGTTATTCATGGAAACGA AAGAAACTTCTGTGCGTTACTGCGACTGTTAACACAGTGTATTCGCGGGTATTGGGAGCAATCCCACAGG GTGGCATTTGTAAATAACTTTCACATGTTAATGTACATAACTACATATCTCGGAAACGGTGAGCTTCCCG AAGTCTGTATTAATATATATCGGGATTTACTGCAGCATGTAAGAGCATTACGCCAAACTATAACCGATTT TACAATACAAGGAGAGGGCCATAACGGCGAGACCTCGGAAGCGCTAAATAACATCCTTACGGATGACACG TTTATTGCACCTATTCTATGGGATTGTGATGCGTTAATATACCGTGATGAAGCCGCCCGAGACCGACTCC CCGCAATTCGTGTAAGCGGGCGAAACGGATACCAAGCCCTTCACTTTGTGGATATGGCCGGGCATAACTT CCAACGACGCGATAATGTGTTAATCCACGGGAGACCCGTTCGGGGAGACACGGGTCAGGGTATTCCCATT ACTCCACACCATGACCGTGAATGGGGTATTCTCTCCAAGATTTACTACTATATTGTCATTCCTGCATTTT CCCGCGGTTCCTGTTGTACAATGGGCGTGCGTTATGATCGCCTATACCCTGCGTTACAGGCAGTTATCGT TCCGGAAATTCCCGCTGATGAAGAAGCCCCAACTACCCCAGAAGATCCAAGACACCCTCTTCACGCACAC CAACTCGTTCCGAACTCTCTTAACGTTTACTTCCATAATGCACACCTAACCGTTGATGGTGATGCATTGC TCACACTACAAGAGTTAATGGGAGATATGGCTGAACGAACGACGGCCATTTTAGTATCAAGCGCCCCCGA TGCGGGAGCCGCCACGGCAACAACCAGAAATATGAGAATATATGACGGAGCGCTTTACCATGGCCTTATT ATGATGGCATATCAGGCGTACGATGAAACCATTGCAACGGGTACTTTTTTTTATCCCGTTCCGGTCAACC CTCTGTTTGCATGTCCGGAACATTTGGCATCATTGCGTGGAATGACAAATGCTAGGCGGGTTTTGGCAAA AATGGTACCACCAATCCCTCCTTTTCTGGGAGCCAACCACCACGCAACTATACGCCAACCCGTTGCCTAC CATGTAACGCATAGTAAGTCGGATTTTAATACTCTTACATATTCTCTTCTTGGAGGGTATTTTAAGTTTA CACCAATATCTCTTACACATCAACTACGAACGGGATTTCACCCCGGGATTGCCTTTACCGTAGTGCGCCA GGATCGCTTTGCCACAGAGCAACTTTTATATGCCGAGCGTGCTTCTGAATCGTACTTTGTCGGACAAATC CAAGTACACCATCATGATGCTATTGGGGGGGTAAACTTTACCCTAACCCAACCCAGAGCTCACGTGGACC TGGGAGTCGGGTATACAGCTGTATGTGCCACAGCAGCCCTGCGATGCCCTCTCACGGATATGGGCAATAC TGCCCAAAATCTTTTTTTTTCACGAGGAGGAGTGCCAATGTTACATGATAACGTTACCGAATCGTTGCGT CGTATAACAGCATCGGGGGGTCGCTTAAATCCCACCGAACCCCTACCCATCTTCGGCGGACTACGTCCTG CTACATCGGCAGGAATTGCACGAGGGCAAGCCTCTGTGTGTGAGTTTGTGGCCATGCCGGTGTCCACTGA CCTACAATATTTTAGAACTGCATGCAATCCTAGAGGTCGAGCATCTGGAATGTTATATATGGGTGACCGT GACGCCGACATAGAGGCTATAATGTTTGATCACACACAATCGGATGTTGCTTATACAGATCGAGCAACTC TTAACCCATGGGCATCACAAAAACATTCATACGGTGACAGGCTATACAACGGAACATACAACCTTACAGG CGCTTCTCCTATCTACAGCCCATGCTTTAAGTTTTTTACACCAGCGGAGGTTAACACTAATTGTAATACA CTGGATCGGCTTCTAATGGAGGCAAAGGCTGTGGCGTCGCAAAGCTCCACCGACACTGAATATCAATTTA AACGCCCTCCCGGTTCTACCGAAATGACACAGGATCCGTGTGGCCTTTTTCAAGAAGCATATCCACCACT ATGCTCAAGCGATGCGGCCATGTTACGAACGGCTCACGCGGGAGAAACCGGGGCAGATGAAGTTCACTTA GCCCAATATCTGATTCGAGACGCGTCGCCCCTTAGGGGATGTCTTCCTCTTCCGCGATAATTTCACCACG CCCACATACCCACTCCCAATAAAAGCCCTGTAGAGCGCATTGGCATCTTACTTGAGATTTGGATACGCTC GGCCGACTTGGTCTGTTTCACGCTTCCTTAAACAACATGGCTATGCCATTTGAGATAGAGGTATTGTTAC CAGGAGAACTATCCCCGGCGGAAACATCTGCATTACAGAAATGTGAGGGAAAAATTATTACCTTCTCAAC CCTGCGTCATCGAGCTTCACTGGTGGATATAGCGCTGTCGTCATATTACATTAACGGTGCTCCACCAGAC ACGCTCTCGCTGTTAGAGGCATACCGAATGCGATTCGCGGCAGTTATAACACGGGTCATCCCGGGAAAGT TGTTGGCGCATGCCATTGGCGTGGGTACTCCTACACCCGGGTTGTTTATTCAAAATACATCCCCCGTTGA TCTTTGTAATGGCGATTACATCTGCTTACTTCCTCCGGTTTTCGGGTCCGCAGACTCAATTCGCTTGGAC TCTGTAGGACTGGAAATTGTTTTCCCTTTAACCATCCCCCAGACCTTAATGCGAGAAATCATCGCCAAAG TGGTTGCACGGGCCGTTGAGCGCACGGCCGCGGGTGCTCAAATTTTACCCCACGAAGTTCTACGAGGCGC GGATGTCATTTGTTACAATGGAAGGCGTTATGAACTCGAAACAAATTTACAACATCGGGACGGATCGGAT GCGGCTATTCGCACATTGGTTTTAAATCTAATGTTTTCCATAAACGAGGGATGTCTGCTTTTATTGGCGC TGATTCCAACTTTGTTAGTCCAAGGAGCACACGACGGTTATGTAAATTTATTGATACAAACGGCCAATTG CGTTAGAGAAACCGGCCAGTTAATTAATATACCGCCAATGCCGCGGATTCAAGACGGCCATCGCCGATTT CCCATATATGAAACTATTTCATCTTGGATATCAACATCATCTAGACTGGGGGATACCTTGGGAACTCGCG CAATTTTACGCGTCTGTGTGTTTGATGGACCCTCTACTGTTCATCCGGGAGACCGCACGGCCGTGATTCA AGTGTAAACAGGTGTTAATAAAAACACAACCAGTCTAGTTACATTTCACGCGTCTTGTTTTTATTTAATA GGCATAAACACGGAATCCGGTATACATGAACTGCCAATATACACGGACATAATTAATGCAACCATCAGAT CATCTGACATTGTTCCCGTGGTACCTTTACCCGTGTAAGTTTTTGTGTCTAGATTACCCATACCGCCTTT AATTACCTCTGTCAGGTTATCCAACTGTTTACATAGATACTCCACGGGGTCTACACCTAACTTTACTGTT AGGGATACAAGCTCCTGTGAGGCTATTATATTTCCGGAGTTAAATCGTTTAACAAAATAGTCTACGGCCG GCGTTTTTTGTTTTTGTAATAAAAAAAAAGGGTACGCCACGCTACATCCGGGAGGTATGGAATGATAAAA CAGTAACACTGGAGCGGAAGATAGCACGTTTCCCTTTTCGAGGACAGCAAACTGTTGTGCTATAGCCAAC GATATGGCAACTGCAGAATCCTGGCTGCTGTTTCCCTCTATAGAAACGTGTACGTTTGTAAATGTATTGG GGTGTAAAGCGAGTATGTGGCCTAAGCATTGAGTAACGCAACGCCCTATCTCACTGGAAGACGTGCCAGT TAAAGCTCTAAGAAAAAAGTGCTCCAATCCAAATATAATCCAATCCGACTTATAACGACCAACAATCGCT ACACCAGTACCAGACGCTCGTGTATTTGAGGTAAATGCAGGGTCTACGTAAACGTACAACACTGACGATA ATATAGCACAATTCGCAACGGTTGACGGCCGATATAAAATAAACCTCTCACGGGCAGTTTTTGTAAATAA TGGCCGGTCAAACCCCACACCCCCAGAATTCTGTTTACGCCCACCTACAATTTCCTGCACGAAGGAGTCG GCCATAAATAAATCTGCAGTGCGCCGCATGGCTCCATCCATTGTGATGAAAACCGGCTTATTTAATACAT AACACGAACAAGCTGTGACATCGCTATGTGCTAAAACACGCGGCATGTGATCGTCGCATACATATGTAAC AACGTTTAACAACTGATCCGACGATCCACGTAAGTTATACAAAAAACTTGTACTTGCTTTTCCGGTATTT GTTGATGAAACAAAAATAATTTTACAATTGGTTTGATTTAAAAATCCGACTATAGTTTGTACAGCATCAG GTCGAATAAAATTAGCTTCATCCACAAACAGAAGATTAAAATCTTGACCTCGGATACCCTGGAACGATAG AAAGATATATAGTTACCCCACCAAAGTTTAAATGTATCCTTAAATACCACGTACGTAAAAAATGTTTGAA TACGTACATATTTCTTTTTTTTTTCCAGTACAACCATATCCGGTGTATAATGGAAGCCCATTTGGCAAAT GAAACCAAACATGCACTTTGGCATAATGATCACACAAAAGGATTACTACACGTTGTGATACCTAACGCGG GGCTTATTGCGGCCGGAATAGATCCCGCATTACTGATTTTAAAGAAACCCGGACAACGCTTCAAGGTTGA AGTACAAACAAGATATCATGCTACAGGTCAATGCGAACCGTGGTGTCAAGTTTTCGCCGCGTACATTCCC GATAACGCCTTAACAAATCTCTTAATACCAAAAACGGAACCATTTGTTTCACACGTTTTTTCGGCCACGC ATAATTCAGGGGGATTGATTTTATCATTGCCTGTTTATCTTAGCCCCGGTTTATTCTTTGATGCATTTAA CGTTGTAGCGATACGAATAAATACTGGAAACCGCAAGCACCGTGATATTTGTATTATGTATGCAGAACTA ATCCCAAACGGAACGCGTTATTTTGCTGATGGACAACGGGTACTTTTATTATGCAAACAGCTGATTGCGT ATATCCGATGCACCCCTCGTCTTGCATCGTCTATAAAAATATACGCAGAGCATATGGTGGCAGCCATGGG TGAATCACACACGTCAAATGGGGACAATATTGGACCCGTTTCATCCATAATCGATCTTGATCGACAGTTA ACTTCTGGAGGTATTGATGACTCCCCTGCTGAAACACGCATACAGGAAAATAATCGGGACGTCCTTGAGC TAATAAAACGGGCCGTAAACATTGTTAACTCCAGGCACCCCGTCCGACCTTCTAGTTCCCGCGTTGCATC TGGGTTGCTTCAAAGTGCAAAGGGCCACGGAGCGCAAACTTCCAACACAGATCCGATCAATAACGGTTCC TTTGATGGCGTCCTTGAGCCGCCTGGACAAGGGCGATTTACGGGAAAGAAAAACAATTCGTCCGCCAGCA TCCCACCTTTACAAGACGTTCTATTGTTTACCCCAGCTTCGACAGAACCCCAAAGTCTTATGGAATGGTT CGACATCTGTTATGCCCAATTAGTTAGCGGGGACACTCCAGCAGATTTCTGGAAACGGCGTCCCCTATCA ATTGTACCGCGACATTACGCAGAATCCCCCAGTCCGTTGATTGTAGTATCTTACAACGGATCCTCTGCCT GGGGAGGACGTATTACCGGAAGTCCAATTTTATATCACTCTGCACAGGCTATTATTGATGCTGCGTGTAT AAATGCCCGGGTTGACAATCCCCAAAGCCTACATGTGACAGCTCGCCAAGAGCTAGTCGCGCGTTTACCG TTTTTGGCTAACGTCCTAAATAATCAAACCCCCTTACCCGCCTTTAAACCAGGCGCCGAAATGTTTTTAA ACCAGGTATTTAAACAAGCGTGTGTGACATCGCTAACCCAAGGTCTTATAACGGAGTTACAAACGAACCC GACTCTACAACAACTCATGGAATATGATATTGCAGATTCTTCCCAAACGGTTATTGATGAAATTGTAGCC CGCACACCAGACCTGATTCAGACTATAGTTTCGGTGTTAACGGAAATGTCAATGGATGCGTTTTATAACA GCTCCTTGATGTATGCGGTTTTGGCGTATCTGTCATCTGTATATACACGACCACAAGGTGGGGGGTATAT ACCCTACCTTCACGCTTCCTTCCCATGCTGGTTAGGTAATCGTTCTATATATTTATTTGACTATTATAAT TCAGGAGGGGAAATACTTAAGCTTTCCAAGGTCCCCGTTCCCGTAGCCTTAGAAAAGGTTGGTATTGGTA ATTCCACACAACTGAGGGGTAAATTTATACGCAGCGCGGATATTGTTGATATTGGAATTTGTTCTAAGTA TTTACCCGGTCAATGTTACGCGTACATTTGTCTAGGATTTAACCAGCAATTACAATCCATTTTAGTTTTA CCGGGGGGATTTGCGGCATGTTTTTGTATTACCGATACCCTACAGGCAGCACTACCTGCATCGTTAATCG GACCTATTCTAGACAGATTCTGCTTCTCTATTCCCAACCCCCATAAATAAATTAGTGTCACTATAAAAAC ATAACACCAGAATCTCTTCATATGTAATTTTACGTCATTTCTCCCGTTTCCACCCCCTCTTAAAATATAA AATAACCGGGTGGGTGGCATTAAACCCACAAGTACCCGGGCGGCAATCCGCTAGACTGTTTTTCTGCTCA TGGAATTACAACGCATATTTCCGCTGTACACCGCTACGGGTGCAGCGCGCAAATTAACCCCCGAGGCAGT TCAGAGACTCTGCGATGCATTAACGCTGGATATGGGATTATGGAAGTCCATCCTGACCGATCCCCGGGTG AAAATAATGCGATCAACTGCTTTTATAACTTTAAGGATCGCTCCGTTTATCCCCCTTCAAACGGATACTA CTAATATTGCCGTTGTTGTAGCCACAATTTACATCACGCGCCCACGTCAGATGAACTTACCTCCGAAGAC TTTTCATGTAATTGTAAATTTTAATTACGAGGTCTCGTACGCAATGACGGCGACTTTAAGAATTTATCCG GTTGAAAACATAGACCATGTTTTTGGAGCAACGTTTAAGAACCCGATCGCGTACCCCCTTCCAACATCTA TTCCGGATCCTCGAGCAGATCCCACCCCCGCAGATCTTACACCAACGCCAAACTTAAGCAACTACTTACA ACCCCCGCGGCTTCCGAAAAATCCATACGCATGTAAAGTTATTTCTCCGGGAGTGTGGTGGTCAGACGAA CGAAGGCGTTTATATGTACTGGCTATGGAACCTAATTTAATAGGGCTATGTCCCGCCGGATGGCATGCTC GGATACTTGGCTCTGTATTAAATCGACTCCTCAGCCATGCGGACGGATGTGATGAATGTAATCATAGAGT TCACGTGGGGGCACTGTATGCGTTACCCCATGTCACAAATCATGCGGAAGGTTGTGTGTGTTGGGCTCCG TGTATGTGGAGAAAGGCCGGTCAGCGGGAATTAAAAGTGGAGGTAGACATTGGCGCCACGCAGGTTCTTT TTGTAGATGTCACCACCTGCATTCGAATTACGAGTACTAAAAATCCTCGCATTACCGCAAATCTTGGCGA CGTTATAGCGGGAACCAACGCCAGTGGTCTCTCTGTACCAGTAAATTCATCTGGGTGGCAGCTTTATATG TTTGGAGAAACATTAAGCCGGGCTATTATTAACGGCTGTGGTCTGCTTCAGCGAATTTGCTTCCCCGAGA CACAAAGATTATCGGGTGAACCGGAACCTACAACCACCTAGTATACCTTAACTCAACCGCCGTTGTGGAA AGGTATATGTCAACATTTACAGTAATATATTAAAGGTTAAATTTATAAAACACTCACGTTTGTGTTGTGA CTTGACGCGAACACCGCTGTGCTGTAAGACCCGTCGGTAAATGAAAACGTAATAGATTCGCCTTTTACAT GATCCACGTAATTTGCCCCAAACCACTGTTCCAGGCGAGACTTGATACCCTCAAACACGGGTTCCGTTGC TTTGCGTATATGAGCCGTATAACCCACTTTAATTCCTCTAAACGTGGCCATTACTAAAGCTATTAATGGT ACAAGAAACCATGTTTTCCCATGTCTACGTGGTACCAAAAACACAGTTGATTTTTGTTTGAAGTGTTCTA AAACACTGTCAGAAACACTTGGCGTGTTAAACACTGTACGCAGAAAGCAGTCAACTCTGTCGGCATGATC GCCCAATAGCACCGATGAAATAAAATGCGTGGTGTGCATGAGGATCATTTTTTGAAACAGTTCCAACGTC CCCTTATATCTGCCATAGATTGGAACGTCAACCTTTGCGCGTTTGCCATGACTTCCACACTCTTCAATAC TCTCAAAAGATGTTTCCACAAGGTACGAAAACCGTTGTGTAAAGGTAGACAACTGACAGAAACTATCCGA CAGAGAAAACGCGCGAAATGTGTTCATAACACCGCTATACGCATTTCGATGAGGTGCTGCTTCTTCCGGT GAATATTCATAAAACTGTACACTACTGACAGCCTTTTTTAATTCAGGGCTTACGTTTGCATTTACCGAAT ATCGCCATGGTTTCAAAACTACATTGGGGGTACAGTTGTACCCTGTTGACGATAGAAACGCGCCAAACAT TGCCCGTCGAGCAGTAGCCGAGAACAGTGGAATATATTCACAACAGTTGTGAAGCGTTCCAATTCCGGGA ATAACGGCCTGATGACGTCGGGTTACATCTATAGCAAAATTCAGAAACGGGATTTGGGTTGCGTTTCCCA GAGACCCTTGCCGCGTGGAACACGGGGTAGGGGACTCCAACGTCCCAAAGCGTTCATCCCTACGACGCTT TAGACGTTCAAAATATCTTACAGATTCTTCACCAAGCGTACGACCAAACATTATCAATGACATTTAACAT CAATTCACGGAATCCGCCTCATCTCTTGTAAGCAGTAAAACAGGAAGCCGCGTCATCTTACGTACTCGTT ACGTATATATCATAAACATTTTCAGGGCCGCATTCATTCACTTTGGTCATGTCAGGCCACACTCCAACCT ACGCTTCTCATAGGCGTAACCGTGTCAAACTAGTTGAGGCGCATAACCGCGCGGGGTTATTTAAAGAACG GACCCTCGATCTAATCCGTGGGGGTGCGAGTGTACAAGATCCAGCATTTGTGTATGCCTTTACTGCTGCA AAAGAGGCCTGCGCCGATTTAAATAACCAGCTCCGCTCTGCAGCTCGCATAGCTTCAGTTGAACAGAAGA TTCGTGATATACAATCCAAGGTTGAGGAACAAACAAGTATTCAACAGATTTTAAATACAAACAGACGCTA TATAGCACCCGATTTTATTCGCGGTTTGGATAAAACAGAAGACGATAATACCGATAATATAGACAGACTG GAAGACGCGGTAGGACCGAACATCGAACACGAAAATCATACTTGGTTTGGAGAAGACGACGAAGCGTTAC TTACACAATGGATGCTGACGACACACCCCCCAACCTCCAAATATCTCCAACTGCAGGACCTTTGCGTTCC CACCACAATACCGACGGACATGAACCAAATGCAACCGCAGCCGATCAGCAAGAACGAGAATCCACCAACC CCACACACGGATGTGTAAATCATCCATGGGCCAATCCGTCAACTGCAACATGCATGGAATCACCAGAACG ATCACAACAGACAAGCTTATTTTTATTAAAGCACGGCTTAACGAGAGATCCAATACATCAACGCGAAAGG GTGGACGTTTTTCCACAATTTAACAAACCCCCATGGGTTTTTAGAATTTCCAAATTATCCCGTTTAATTG TACCCATCTTCACGCTCAATGAACAGTTATGTTTTTCTAAATTACAGATTCGAGATAGACCCAGGTTTGC GGGACGGGGAACGTATGGGCGTGTTCATATATACCCATCGTCAAAAATAGCTGTAAAAACCATGGACAGT CGTGTTTTTAATAGAGAGTTAATTAACGCGATTTTAGCGAGTGAGGGTTCTATACGAGCAGGGGAAAGGC TAGGTATTTCTAGCATAGTTTGCCTTTTAGGTTTTTCGTTACAAACCAAACAGCTACTGTTTCCGGCATA CGACATGGATATGGATGAATACATTGTTCGCCTGTCCAGACGGTTGACAATACCTGATCACATAGACAGA AAAATTGCCCATGTATTTTTAGATTTGGCTCAAGCGTTGACGTTTTTAAATCGAACGTGCGGCCTGACCC ACCTAGATGTGAAATGTGGCAATATTTTTCTTAACGTCGACAACTTTGCCTCGTTGGAAATAACCACAGC AGTAATCGGAGACTATAGCCTAGTAACATTAAATACGTATTCCCTTTGTACTCGAGCGATATTTGAAGTT GGAAATCCATCCCACCCGGAGCACGTACTACGCGTACCCCGGGATGCATCGCAGATGTCATTTCGTTTGG TGTTGAGTCATGGAACAAACCAACCCCCTGAAATCTTGCTTGATTATATTAATGGAACGGGCCTTACTAA ATATACTGGAACCTTGCCCCAAAGAGTTGGACTTGCGATTGATCTTTATGCATTGGGCCAAGCACTCTTA GAAGTTATCCTGCTAGGACGTCTTCCCGGACAACTGCCCATTTCAGTACATCGGACCCCGCATTATCACT ACTACGGTCATAAGTTATCACCAGATTTGGCGCTTGATACGCTGGCATATCGATGTGTCCTGGCGCCATA TATACTCCCATCTGACATCCCCGGGGACTTAAATTATAATCCCTTTATACACGCCGGAGAGCTGAACACC CGTATTTCCCGGAATTCTTTACGCCGGATATTCCAGTGTCACGCAGTGCGTTACGGCGTAACGCACTCAA AGCTTTTCGAAGGCATACGCATTCCGGCCTCATTATACCCAGCCACTGTTGTTACATCGTTGTTGTGTCA CGATAATTCAGAAATACGCTCGGATCACCCTTTATTATGGCACGATCGGGATTGGATAGGATCGACATAA GCCCCCAGCCAGCCAAAAAAATTGCCCGTGTGGGAGGTCTACAGCACCCTTTTGTAAAAACGGATATTAA CACGATTAACGTTGAACACCATTTTATAGACACGCTACAGAAGACATCACCGAACATGGACTGTCGCGGG ATGACAGCGGGTATTTTTATTCGTTTATCCCACATGTATAAAATTCTAACAACTCTGGAGTCTCCAAATG ATGTAACCTACACAACACCCGGTTCTACCAACGCACTGTTCTTTAAGACGTCCACACAGCCTCAGGAGCC GCGTCCGGAAGAGTTAGCATCCAAATTAACCCAAGACGACATTAAACGTATTCTATTAACAATAGAATCG GAGACTCGTGGTCAGGGCGACAATGCCATTTGGACACTACTCAGACGAAATTTAATCACCGCATCAACTC TTAAATGGAGTGTATCTGGACCCGTCATTCCACCTCAGTGGTTTTACCACCATAACACTACAGACACATA CGGTGATGCGGCGGCAATGGCGTTTGGAAAAACCAACGAACCGGCGGCACGAGCGATAGTTGAAGCATTG TTTATAGATCCGGCTGATATCCGTACTCCTGATCATTTAACGCCAGAAGCTACAACTAAGTTTTTTAATT TTGACATGCTCAATACCAAATCTCCAAGTCTCCTTGTGGGTACACCAAGAATCGGAACGTATGAATGTGG ACTTTTAATCGACGTTCGAACGGGACTTATAGGCGCGTCGTTGGACGTTCTTGTATGTGACAGGGACCCT TTAACTGGCACCCTAAATCCCCACCCTGCAGAAACCGACATTTCATTTTTTGAAATTAAATGTCGTGCTA AATACCTCTTTGATCCAGATGACAAAAATAACCCGCTCGGTCGGACGTACACCACGTTAATAAATAGACC TACAATGGCAAATCTACGGGACTTTTTATATACTATAAAAAACCCATGTGTAAGCTTCTTTGGACCCTCA GCAAACCCAAGTACACGCGAGGCCTTAATAACGGATCACGTTGAATGGAAACGTTTAGGATTTAAAGGTG GGAGGGCCCTTACAGAACTCGACGCCCATCATTTGGGCCTCAATCGGACAATCTCATCCCGAGTGTGGGT ATTTAATGATCCGGACATACAAAAGGGGACAATTACAACCATTGCATGGGCCACTGGAGATACGGCTCTT CAAATTCCTGTATTTGCCAATCCGCGGCACGCTAACTTTAAACAAATTGCCGTACAAACCTATGTATTAT CCGGTTACTTTCCAGCGCTAAAACTACGGCCCTTCCTTGTCACCTTTATAGGACGTGTGCGCCGACCACA CGAGGTGGGAGTCCCATTGCGCGTCGATACACAAGCGGCTGCCATTTACGAATATAACTGGCCGACTATC CCACCCCACTGTGCGGTTCCGGTTATAGCCGTTCTAACGCCTATCGAAGTTGATGTGCCTAGAGTGACAC AAATACTTAAAGACACAGGAAACAACGCGATTACATCAGCATTGCGGTCATTGCGATGGGACAATCTTCA TCCAGCGGTCGAGGAGGAATCTGTGGATTGTGCAAACGGTACAACGAGCTTGTTACGTGCAACGGAGAAA CCGTTGCTTTGAACTCAGAGTTCTTTGAAGACTTTGACTTTGATGAGAATGTAACAGAGGACGCCGATAA ATCCACACAACGCCGCCCACGAGTGATCGATGTAACACCAAAACGAAAACCTTCGGGAAAGAGCTCCCAT TCCAAATGCGCAAAATGTTAAACCCTGATAAACCCTGATAAACGTTCTAATAAAAACATCAAATCATGGT TGGTTACTGTGAATGTTTGTTTTATTGCTTGGGGGTTTACAAGTACAACCCACGCTACTCCCACCCACTG TTTGATCGCTCGTATAACAGCTCATCCTCGCGGTCCGTTTCATATGTTGAGTCATTTTCATAGACGTAGC CGTAGCCTTGTGATGGGTAATTTGTGCGGCGAGAATTTCTATGTGCAGGTTTTACTTTTCGTATGTATCC CCGTACCCGCTCGGGTACTCTTCTTACGGCACCGTAGAACCGACTGCGTTTCTGTCGATGATACACATAT GCACGCATCAATCTGAGAAGCAACATGACAACGGAAAACACGGCCAGGCAAGCCAAGGTTCCCCGAGTTG TGGGAATTAACCGTGGAGATTGAACCGATATAGGGTCATATAATCGGTCCATATACGAGTGCGCGGCGGT TCCCAACGTAGCACAGGCCACGAGCGTTCCCAGGGACGGTCCTATTAACACGTGTATATAATGCGCCAAA ATTAATTCTGATACTATAAGATATACAACTGACAATGTACTAAATGTAGACATGGCCACGGACACCGATG ACCACAGTCCCGTATGTAGATGATTCGCCACCACAAGTTCCAGCATTAATGATACAAATAGGATACATAT CGCCATCAACGCAGCCATCAAATTCACGAACACTGCGCGCGTAGGCCCCGCAAGGCGATATAAAAAGACG CTCTGCTGTCGTAAATTTGCGACCGCTTTTATGTTCGTTTCGTCCAATTTTCCGCGTCCACAAAAATACG TTGTAAATATTACACTTGTCGCAAAATGTCCAAGATATAATGTAGCAGCCACGCCGATTTGCTTGTAAGC TAATAATAACACAACGGCGTTTAATAACCACAATGACAAAAGACCCCAAAAAAGTGTTGTGGGATCTACA ACTAACCATGCAACACCGGAGCTTTGCCGGACACGTTGATTTTTCGTTTCTCGGTGTATAATCGCGGCCG TGATCAGTGTATATACCGCCATGGCCATTGCCGTTAAAGCCGTGTAGTAAGTAAATGCCACAACGCTATG TGGTTCCAAAAACAAAACCGGGGCGCTGTATCCACCTCTATTTCCGGACCATACCCCCCCATCTAGGGTG GCGTTAAATAACTCATAATCAACTACGGCAGCATAAAAACAAGGGATCCCGGTATATTCAGAAGAGGCGG CAATTAACGTAGCCAGGAGCATTACCGCACCCAAAGTGAACATCATCACCTGAATTATCCAAATTCGCCA ATTAAGCGTATCCATTTGATGATCTAACGCTTCCACCTCGGGTGTCGTGGTGTCGTACGGCGAGACTTTT TCAGAACGCGGCCCCTTCTTTTGAGTTCCCATGTCTCCCAACACCGGGGAGAGCAACGCCGCCGTCTATG CGTCCAGTACACAGCTCGCGCGGGCGTTATATGGAGGGGATCTGGTTTCGTGGATTAAACACACCCACCC GGGAATTAGCCTGGAACTGCAATTGGATGTTCCAGTAAAACTAATAAAACCTGGTATGTCACAAACTCGC CCGGTAACCGTCGTACGTGCCCCTATGGGCTCTGGTAAAACAACAGCCTTGCTTGAGTGGCTTCAACACG CGTTAAAGGCAGATATTAGCGTACTGGTTGTCTCATGTCGCCGTAGCTTTACCCAGACGTTGATTCAACG GTTTAACGATGCAGGCCTCTCCGGATTCGTAACATATTTGACATCCGAGACATATATTATGGGTTTTAAA CGTTTGATTGTGCAACTTGAAAGCCTACACCGCGTATCCAGCGAAGCTATCGACAGCTACGACGTATTAA TACTGGATGAGGTAATGTCAGTGATTGGACAATTATACTCCCCCACAATGAGACGTCTTTCCGCGGTTGA TAGCCTATTATATCGTCTTTTAAATCGCTGTTCTCAAATTATCGCGATGGATGCTACAGTAAACTCGCAG TTTATTGATTTAATCTCCGGATTGCGTGGAGATGAAAACATACACACAATTGTGTGTACATACGCGGGAG TTGGGTTCTCCGGAAGAACTTGCACGATCCTGCGTGATATGGGCATCGACACGCTTGTGCGAGTCATTAA ACGATCTCCTGAACACGAGGATGTACGTACCATACACCAACTACGTGGAACATTTTTTGACGAACTAGCA CTACGATTACAATGTGGGCATAACATCTGTATATTTTCATCAACTTTATCGTTTTCGGAGCTAGTTGCTC AGTTTTGTGCAATATTTACAGACTCTATTCTTATTTTAAACTCAACTCGGCCCCTATGTAATGTAAACGA ATGGAAACATTTTCGCGTGTTGGTGTACACTACCGTCGTGACCGTTGGATTGAGTTTTGACATGGCTCAT TTTCATAGCATGTTTGCTTACATAAAGCCAATGTCATATGGGCCGGATATGGTATCGGTCTACCAGTCAT TAGGGCGTGTACGTTTATTGCTACTTAATGAAGTTTTGATGTACGTCGATGGCTCAAGGACCAGATGCGG ACCCCTGTTCTCGCCAATGTTACTAAACTTTACCATCGCAAATAAATTTCAATGGTTTCCTACACACACC CAAATAACTAACAAACTGTGCTGTGCATTTAGGCAACGATGTGCAAATGCATTTACACGCTCGAACACCC ATCTCTTCTCAAGATTTAAATACAAACACCTTTTCGAGAGATGCTCTCTTTGGAGTTTAGCCGATAGCAT TAATATCTTACAAACTCTTTTGGCCTCTAACCAAATTTTGGTTGTATTGGATGGCATGGGTCCAATAACG GACGTTTCCCCAGTTCAATTTTGTGCATTTATACACGATCTCAGACATAGCGCTAACGCCGTAGCTTCCT GTATGCGTTCTCTTAGACAGGACAATGACAGCTGCTTGACCGATTTTGGCCCTTCCGGATTTATGGCCGA TAACATTACCGCGTTTATGGAAAAGTATCTTATGGAGTCAATTAATACCGAAGAACAAATTAAAGTATTT AAAGCCCTTGCATGTCCAATAGAACAGCCTAGACTAGTCAATACGGCAATATTGGGGGCGTGTATACGAA TACCTGAAGCGTTGGAAGCATTTGACGTATTTCAAAAAATATACACGCACTACGCTTCCGGTTGGTTTCC CGTCCTGGACAAAACCGGGGAATTTAGCATCGCGACTATAACTACCGCCCCAAATTTAACCACACATTGG GAGCTGTTTCGCCGTTGTGCCTATATTGCAAAAACACTCAAGTGGAATCCGTCCACCGAAGGCTGTGTAA CACAAGTTTTGGATACGGACATTAATACACTTTTCAATCAACACGGGGATTCGCTGGCTCAACTAATATT TGAGGTTATGCGCTGTAACGTTACTGACGCTAAGATTATATTAAACCGCCCGGTTTGGCGAACAACCGGA TTCTTAGATGGATGCCATAATCAATGCTTCCGTCCAATCCCTACAAAACACGAATATAACATTGCTCTAT TTCGTTTAATTTGGGAACAATTATTTGGCGCCCGCGTAACTAAAAGTACCCAGACCTTTCCGGGAAGTAC TCGTGTGAAAAACCTAAAAAAAAAAGATCTAGAAACTTTACTTGATTCAATTAACGTGGATCGTTCTGCA TGTCGTACCTACCGCCAGTTGTATAACCTGCTTATGAGCCAGCGCCATTCGTTCTCTCAACAGCGTTACA AAATTACTGCCCCCGCTTGGGCACGCCACGTGTATTTTCAAGCACATCAAATGCACTTGGCCCCGCATGC CGAAGCCATGCTACAATTAGCGCTATCGGAACTGTCCCCGGGATCGTGGCCGCGGATAAACGGGGCGGTA AATTTTGAAAGTTTATAACCCGTTAATACCATATATGGACATCCATAGGGGGGGTTACATAAATACTAAG CCTCTGTACAACACAAAGGGCCTCTAACAATGCACTGAACCACAACCAAGCTATGGACGCAACGCAGATT ACCTTGGTTAGAGAAAGCGGACACATTTGTGCCGCAAGCATATACACATCCTGGACACAGTCCGGACAAT TAACACAGAACGGTCTTTCCGTGTTATACTACTTATTATGCAAAAACTCATGTGGGAAATACGTCCCTAA GTTTGCCGAAATTACCGTACAACAAGAGGATTTATGTCGCTACTCCAGGCATGGGGGGAGTGTTTCTGCG GCAACGTTTGCGTCTATCTGCAGGGCGGCGTCCTCGGCTGCGTTAGACGCCTGGCCCCTTGAACCACTGG GTAACGCAGACACCTGGCGTTGTCTCCATGGCACTGCCCTGGCCACTTTACGGCGCGTATTAGGGTTTAA ATCGTTTTATTCGCCAGTAACATTCGAGACTGATACGAATACAGGTCTTCTGTTAAAAACAATCCCCGAT GAACACGCGTTGAATAATGACAACACGCCATCTACCGGAGTATTGAGGGCTAATTTTCCCGTGGCCATTG ATGTTTCAGCAGTCAGCGCATGTAACGCCCACACGCAAGGTACGTCGCTAGCCTACGCCCGCCTGACCGC ACTTAAATCTAACGGTGACACCCAGCAACAAACACCTTTAGACGTGGAGGTAATTACACCAAAGGCCTAC ATACGTCGGAAATATAAGTCTACGTTTTCCCCCCCTATAGAGCGGGAAGGCCAAACCTCCGATTTGTTTA ACCTTGAAGAACGCCGCTTGGTTCTTAGTGGCAATCGCGCAATTGTGGTAAGGGTACTCTTACCGTGTTA TTTTGACTGTTTAACAACGGATTCCACCGTTACATCTTCCCTTTCAATATTAGCAACATATAGACTGTGG TACGCGGCGGCGTTTGGAAAACCCGGGGTTGTCCGTCCAATCTTTGCGTATTTAGGCCCGGAACTCAATC CGAAGGGTGAAGACAGAGACTACTTTTGTACTGTCGGATTTCCCGGATGGACCACTCTTCGGACACAAAC TCCAGCCGTCGAATCTATTCGCACGGCTACGGAGATGTACATGGAAACGGATGGGTTGTGGCCAGTAACC GGTATTCAGGCCTTTCATTATCTAGCCCCCTGGGGACAGCATCCCCCCTTACCTCCGCGGGTGCAGGATC TTATTGGGCAAATCCCTCAAGATACTGGACATGCAGATGCAACTGTCAATTGGGACGCGGGCCGGATATC TACCGTCTTCAAACAGCCTGTACAACTACAAGATCGTTGGATGGCAAAGTTTGATTTCAGCGCCTTTTTT CCCACGATATACTGCGCTATGTTCCCCATGCATTTTAGATTAGGCAAAATCGTCCTGGCTAGAATGCGTC GAGGAATGGGGTGCCTAAAACCCGCGTTGGTGTCTTTTTTTGGGGGGTTACGGCACATACTCCCGAGTAT ATACAAAGCTATTATTTTTATAGCCAATGAAATTAGCCTTTGCGTCGAACAAACGGCCTTGGAACAGGGC TTTGCTATATGTACTTATATAAAAGATGGATTTTGGGGAATCTTCACCGATTTACATACGCGCAATGTAT GTTCAGATCAGGCACGTTGTTCGGCCTTAAATTTAGCGGCCACCTGCGAAAGAGCAGTCACGGGCTTATT ACGAATTCAACTAGGTCTTAACTTTACACCCGCCATGGAACCGGTACTCCGGGTCGAGGGTGTGTACACT CACGCATTTACCTGGTGTACCACGGGAAGCTGGCTGTGGAATTTACAAACAAACACGCCTCCGGATTTAG TTGGCGTGCCATGGCGAAGTCAGGCGGCGCGAGATTTAAAGGAGCGTCTTTCAGGACTCCTATGTACCGC AACAAAAATTCGAGAACGGATACAGGAAAATTGCATATGGGACCATGTCCTATACGACATATGGGCCGGA CAAGTTGTGGAGGCTGCCAGAAAAACATACGTCGATTTTTTTGAACATGTTTTTGATCGCCGTTATACTC CGGTATACTGGAGTCTTCAGGAGCAAAATTCGGAAACAAAAGCAATACCGGCATCTTATCTGACATACGG ACACATGCAAGATAAGGATTATAAACCAAGACAGATAATTATGGTTCGTAATCCCAACCCACATGGACCT CCTACTGTTGTTTACTGGGAATTGCTACCATCGTGTGCCTGTATTCCCCCCATAGACTGCGCTGCTCATC TCAAGCCCCTTATACACACGTTTGTCACTATTATTAACCATCTTCTAGATGCTCATAATGATTTTTCAAG TCCATCATTGAAATTTACTGACGATCCCCTTGCTTCATATAACTTCTTGTTTTTATGACAAAAAAACACG CCGCAACAACCCATCCTTAAAATAAAAGGTTTATTTACTTTACAACCCGTGGTGAATTTTTATACGTTTC AAATAACTGAACATTTTTCGGTGTTACCATGGTGCGATTTAACCACCAAAAATATACGCTCTTCTGATAT TCCGAATCTCGTAAAGGTCCATTTAACAATCCCGGGGGTACTTGCACCACACCATCTGGACAGGGGGGGG TTCCGTGGGGCAGGTCAAAACGCTGACCCACCCCACATGAATATATAGCCTTTATAATATTGGGGGCCGT TCCAGGCTGAGGGTTCAGTAACTTAACAAACATATAATGCGGCAATACGCGGGTTTTTGTAAAGGGGTTG TTATCAACGACATACATTAGAGTGTTTAACAACCATAAAACTCCCTCATATAAAAACCGACGCATTTTTT CCAAAGGTCCTATTTGACACTCAACGCGTCTAAGATATACAGACAATTGTACAAACAGCGATGGAGATGC CCCGGAGGGCCCAATGCCTTCCAGATACATTAAAATAACACATAAGGTAAAATCTAGGACATTATCCGGG CGGAATAGAGTCATCCGATAGATTAACAGGCGCGGAGGCACCCCCACCGTATACACCCTATCTTCAACCG CAGTTAATACGGAAAAAATAAATCCGCGGAACGCTGGTTGAGTAACACACTCCATGTAGTAACGATCACA GGACACCTCACTTGAATCACCATTCAACACTACTAAAACGGTCTCTTGGTGTTCCGGTTTTACGCGCAGT GATACAACAGAGTTTGCCAAAAAGCGTGGCTTCAAACCGGTTACCTCCCGCGCCTCGCATACGAATCTTG GTATTGCTTGTATTCTAAGATCTTCGATCACGTCGCTCACATCCAACCCCTCTTCGGCTCGTGTTAGTAA GTTGTCGATCGTTACGCTGCAACCTAAAATGCTGGGTATATTTATTCCGGACATCCCATCGGCCATCCCC GCGCCTCCGGTTTGCTCGAATTTTATCCAGTAAGGTCGAATCCGCTGCATTTACCTTGTGTACCCGTAAC CTCTCAGGGGGGTGTCCTTTCATAAAATGGGATAGGTTTTTATATCCAACATGCATGTATTGGTTATTTA TTTTATTGGGTTCCGGGATTCTTTCGTCATCTTCTGTAGGGTCAGGCAAACCCCAGGAAGGACTTGGTGT TCTCCGTGGGCCCCGTTTTATTACCTCTGCGCGAACCTGCATTTCATATAATATTCGGATTTGGGATAAA TAGGACTCTGTTCTCGCCTTTTTAAAAATAGCCTGGCATAACTCTTCCTCTGACCTATGTACCTCGCTTT GAGTTACCAAGAATCCTAATCGGGTGGCCCGTAATATGAATGAAAAATACGGCGCAACTAGTAATGAGAT TGACGCATTTGAATATGATACAGAAATTTCCTGGCCTTGATTATTGTTTACCCGGTGAAGCTTAAAACAG CGAACAAGTTCCTGTTTCCATAGCTCAGACAAACGTTTTATATCATCTCCATAAGGGGGGATATAACGAG ATTGAAAACTATTGGCAATATATGCATCATCCCCTATTATGCCGGTAAGATCTATAACCTCGTGATTTAA ATCGGCAATACGTGTTTCTTCTGCCATTGTAATATGTGACCCTTTAGATGGCTTTATTTTTACCCTCTCT TCCCGTAACCGTTTCAGCTCTCCTTCTTTGAACTGGAGCCTTTCGGTCAGATCGCTGTTCACATCCTTGA GACCCTCAATGGTTTTGAATAAATTATTCACATAACCCTCGAGCATGCCGTTGATACTGTTAACCACCGA AGTTTTAAACGCACTTTGAACGTTTGTTGTTCCGGACATTGCCCCCCCGTTAAAGGATTGGTTGGCCTTG CCAAACCCCGGTTGTGATGTGTCCACCGATCCACTTCCTTCCAGAATGTGATTGCCCGTTTCTTCTAGAT AGGAACGTACGGTTTCGGTAATATCTCCAACATGTCTCATGTTTTTTAAGTTAACTATTAGCTTTACAAG TCTAGACGCGGCCGATCCAGCCCGTGTTGTATCGTTCTCGCCCATTATACGATCAACCGCACGTGTGCTG TGAGATCTATCATCTTCATTCCGGCGACCTATTAACACGCGCAAAGGGGCTGTATTTAAAACTTGGCAGA CGCGAGCATGTTCACGTAATGCATAACAGGCCAACACCTCCCCAGAAAGCCGCTGTAAGGGTGAGTCAAA TACTACACCCTCCCCACATACAACGGGCGGCCACACGACCAAACACTCTCCCTTCATGCCCGTTACATCA TCCTTTGCCATAATTAATCTTCGGTTATAATTATAATAAAGACGCGTCCTATCATAATCCATAATAGCAA CATTTTGCATACACTCAACTAGGCTTGTGACAACCGCCGCTCCTCTGGCCAACGTTGCATCGGCAACTTT TAACATCTGGGACAGTTCTGCCGCTTGACCCATATACGTATTTAATGGTGCAGGGGTTCCATTCTGTTCT GATCGTACCTTTCTTACAACGGGCACAATACCTACACAGGCTATCCAGTCCACGTATTTGGCAAAACCGA CCCTTCCATTTAAACCACTGGTATAGAGACAACCGGTTATTCCACGCAGAAACTCAAGTAACGATGACTG TAATGTTTGACGCCAGGTTTCAAAAACCTGATGTGCAAGCCGTACGGCTTCTGATTCTCCACATAGCCCA TAACGTTCCGCTAGAGCCCCGGCATGCAGGTTACATTGTTGGATGTGGTGTTCCCAATCTGCTGCTAGGT CCTCATACCGAGTTGCATCCAACGCGTTCATCAAAACGGTTGCCTGAACTTGGCGAATTACAGTTTCCGT AGACCGTACAGCGCTATATATGCCTTGTCCATCGGTATATCCAAAGTCACCGGCTAGGATTTTTCGAAAC AACATACTTTGCGTGGTTGGGTGTATTAACATCCAGCCATCTTCCTCCGGAAATGTACAAAACCCTATAT CCGGGGCGTACTCATTCCAGTATATATCGAACATGTTCTTGTATTGGTCATTTGGGTTACTTCCATTCAA GCCCTGGTCAATAGAAACAGAACTTGCTATCCTTTTTTCTTCACTACCGGAACTGTTATTAAAAAGAGAC GTTATTTCGGCCATTGAAAACCACGATGAAAAGATCAATTTCTGTAGACAGTTCTTCACCCAAAAACGTT TTTAATCCAGAGACGCCCAATGGATTTGATGACAGTGTATATTTAAACTTCACCTCTATGCATAGCATTC AACCTATCCTCTCACGGATTCGAGAACTTGCCGCAATTACGATTCCAAAAGAACGTGTTCCGCGGTTGTG TTGGTTTAAACAGTTACTCGAACTGCAAGCGCCTCCTGAAATGCAGAGGAATGAGCTCCCCTTCTCCGTT TATTTAATTAGCGGAAATGCCGGCTCCGGAAAAAGCACGTGTATCCAAACGCTTAACGAAGCTATCGATT GCATTATTACCGGATCCACCAGGGTTGCTGCCCAAAATGTTCATGCTAAGTTATCAACGGCTTATGCGAG TCGTCCGATAAACACAATCTTTCATGAATTTGGTTTTCGCGGAAATCACATTCAGGCTCAGCTGGGCCGT TACGCATATAACTGGACTACGACCCCCCCTTCTATTGAGGACCTGCAAAAAAGAGATATTGTATACTACT GGGAAGTTTTAATTGATATAACAAAACGAGTGTTTCAAATGGGGGACGACGGTCGCGGAGGAACATCGAC ATTTAAAACCCTGTGGGCAATTGAACGTTTGCTTAATAAACCTACAGGCTCAATGTCCGGAACCGCGTTT ATCGCATGCGGTTCCCTTCCGGCTTTTACCCGGAGCAACGTTATTGTTATTGATGAAGCAGGATTGCTAG GGCGTCATATTCTCACGGCCGTTGTTTACTGTTGGTGGCTTTTGAATGCTATATATCAAAGCCCTCAGTA CATAAACGGTCGAAAACCGGTCATAGTATGCGTCGGTTCGCCCACCCAAACTGACTCGTTAGAATCTCAT TTTCAACATGACATGCAGCGTTCACACGTAACTCCTAGTGAAAATATACTCACGTATATAATCTGCAATC AAACTCTGCGTCAATATACTAACATCTCACATAACTGGGCAATCTTTATTAATAACAAACGATGTCAAGA GGACGATTTTGGAAATCTTTTAAAAACGCTTGAGTACGGGCTACCTATTACCGAAGCACATGCGCGTCTG GTCGATACATTTGTTGTACCTGCATCCTATATTAACAATCCTGCTAATCTTCCCGGATGGACGCGTCTGT ATTCGTCGCATAAGGAGGTGAGCGCGTATATGAGTAAGTTACACGCGCATTTAAAACTATCGAAAAATGA CCATTTTTCTGTGTTTGCCTTACCGACTTATACATTCATCCGGCTAACGGCATTTGATGAATACCGCAAA TTAACGGGACAACCCGGACTTTCTGTTGAACATTGGATACGGGCAAACTCCGGTCGTTTGCACAATTATT CCCAAAGCCGAGATCATGACATGGGAACAGTTAAATACGAAACACATTCAAATCGCGACTTAATTGTAGC CCGTACAGACATCACTTACGTGCTAAATAGTCTCGTAGTTGTAACCACAAGACTACGTAAGTTAGTTATT GGATTCAGTGGTACATTTCAATCGTTTGCAAAGGTTTTACGTGACGACTCCTTTGTGAAGGCTCGAGGAG AGACATCCATCGAATATGCTTACCGGTTTCTGTCAAACCTAATCTTTGGAGGCTTGATTAACTTTTACAA TTTTTTGTTAAATAAAAACCTACATCCCGATAAGGTATCGTTAGCATACAAACGGTTAGCTGCCTTAACC CTGGAGTTATTGTCTGGAACAAACAAAGCCCCCTTACACGAAGCAGCGGTTAATGGGGCGGGTGCCGGGA TTGACTGTGATGGTGCAGCTACTTCTGCCGATAAAGCCTTCTGCTTTACCAAAGCCCCCGAGTCCAAAGT AACGGCCTCCATACCCGAAGACCCGGATGATGTAATTTTTACGGCACTTAACGACGAGGTTATTGACTTG GTATACTGCCAGTACGAATTTTCCTATCCCAAATCATCCAATGAGGTCCATGCTCAGTTTCTGTTAATGA AAGCTATTTACGATGGTCGATATGCCATATTAGCAGAGCTTTTCGAAAGCAGCTTTACAACCGCCCCCTT TAGCGCGTATGTCGATAATGTTAATTTCAACGGAAGCGAGCTTTTGATCGGCAATGTGCGGGGGGGGCTG TTATCTTTGGCATTACAAACAGATACGTATACCCTTTTGGGGTATACTTTTGCACCCGTGCCAGTCTTTG TAGAGGAACTGACCCGAAAAAAGCTGTACCGCGAAACTACCGAAATGTTATATGCTCTACACGTACCTCT TATGGTCTTACAGGATCAACATGGGTTTGTGTCCATCGTAAACGCTAACGTATGTGAATTTACCGAGTCT ATAGAGGATGCAGAATTGGCAATGGCCACCACGGTGGACTATGGCCTTAGTTCTAAACTAGCCATGACAA TTGCACGCTCACAGGGTCTGAGTTTAGAGAAGGTAGCTATCTGTTTTACGGCGGATAAACTGCGCCTAAA TAGTGTGTATGTTGCCATGTCGCGTACGGTCTCCTCTAGGTTCTTAAAAATGAATCTAAACCCTCTACGG GAACGATATGAAAAATCCGCAGAAATTAGCGATCACATTCTTGCCGCTCTACGTGATCCCAACGTACACG TTGTGTATTAAAGCATTGTATAAAAACACGCATGCGGGCTTGCTGTTCTCATTTCTAGGTTTTGTCTTAA ATACACCCGCCATGAGCATCTCTGGACCCCCAACGACGTTTATTTTATATAGGTTACATGGGGTTAGGCG GGTTCTTCACTGGACTTTACCGGATCATGAACAAACACTCTACGCATTTACGGGTGGGTCAAGATCAATG GCGGTGAAGACGGACGCTCGATGTGATACAATGAGCGGTGGTATGATCGTCCTTCAACACACCCATACAG TGACCCTGCTAACCATAGACTGTTCTACTGACTTTTCATCATACGCATTTACGCACCGGGATTTCCACTT ACAGGACAAACCCCACGCAACATTTGCGATGCCGTTTATGTCCTGGGTCGGTTCTGACCCAACATCTCAG CTGTACAGTAATGTGGGGGGGGTACTATCCGTAATAACGGAAGATGACCTATCCATGTGTATCTCAATTG TTATATACGGTTTACGGGTAAACAGACCTGACGATCAGACCACACCAACACCAACCCCGCACCAGTATAC ATCGCAAAGGCGGCAGCCTGAAACCAACTGTCCTTCTTCACCACAACCGGCCTTTTTCACATCAGACGAC GACGTTCTTTCGTTAATATTACGGGACGCCGCAAACGCGTAAAGACAGATTCAAGACTAACATTTATCCC AACTGATTACATTTCATACGCGAATAAACGACACAAAAAATTTATATTTAACGGCTTTTAATTTGAAGAC ACCTATCCTCTTAACGTTGATGAGCCTTGCAGGTTGGGTGCCGCGCTTCACCGGTATTATACATAACCGA TTTACCGTGTTTACGGCAGTCTGACCATTTACCAGTGTATGTCTGTAATACGACGTTGTTGTGTCCCGAC AAAATTAACTCGCGTACAAATTTCTGATGTTCCCCCGGCGTGGCAACGCTGGCATTTCCAAACACATTAC GTTCTCGTACGTCCATGACCGCTATTTTCAGTATTAATTGGTTGGTCGGTCAAAGTATTTTCCTTATGTA AAAGGACACGATCTAAAGCCGTAAACTCATACACAAACACTGGTACCAACGGACGCGATTTTCCGTCCGT TGAGCGGGTGTAATATCGGCGAGGTCTTCTTGCACGAATACTCTCGTACAGTAGGTTTCTGACACGGGGT GCATGGGTTTTTTGACACAACACAAACATTTGCAGGCTCTTATGACTGGATGGATTGAATTTATTTTTAG ATAGGGTCACGTGTTTTTGTCGTGACACGCCTCGACCAGAAAAGGCTGCGGTTTTCGTACACGCGACCGT TATTTCACAGGCGTTCATAACCAAGCTGCGGCGGATGGTGTCGGTTAATTGTCTCCGCCCAAGTTCGTCA ATAGATGATACCATGAACAACGTATCAAATGGTACATAGTCGTCTTTGGTTTTCTCAATACAGCCCGCGT GCCCAATCGGAAATTTTTCATTTGCATCAACGCTATTTTCTGTAAAATCGTTCTGAACACTGTGTTGGCT GGCTACCTGTTTAAAATTTGGGATCGAACACGGTCCACGATGCAATCCCCAACCCCATTGAAGCAATGCC GTCGGTACGGAAGGAGGCAACTCCGAAAACATTATGGTACGCAAGAGGGTCGATTGGAGTGTTATATAAC ACTCCAATCGATCTCGGGTTCGCCTTTACGCGTAAAATACTCATTGGCTTGAACGAAATGTCGACAATTC CGAAATGGAACACGGGACAATGGCGACGGATGCGCGTGTGTTAGCACCAGATGACATCTTGAATTCGGTT GGGTTGTCTTCTGTGCATGCGCACCCCACAGCATAAAAACTAACCCTGTACGGTTCTCGCATAACCTCTG TAGCACGCGTTGCACCAGCCGCCCCCAGCCTAAGTATACATGCGACCCCGGAGTCCCGCGACGAACCGTA AGCGTGGTATTCAGCAATAACACCCCCTGCCTTGCCCAACTCTCCAGGCATCCGTGAGTGGGCGGAGTCA TATTTGGGTATGATTCCATGAGGGCCGCAAAAATATTTTTAAGACTAGACGGTGGTGTTATGCCACGTTT TACACTAAACGCTAGCCCATGTGCATGTCCCGCGGTAGGGTATGGATCTTGACCAATAATTACAACGCGA ATGCTCTGGGGTCCGCAAAATCGCGTCCATGCAAAAATATCGCCTGTAGATGGAAGTATTTCTTCCCCTG AATTTAAAAGACGATTGTATTCTAAAAAAATACCTTTCGCGTACGGCTCTTTAAGTTCGTCCGACAACAG GTCATACCACTCAGGGGAAATGTTAAACTTGCTGAAAACTTCAACCGAATCCAGTTGCGAAGAGACGGGG GTGAACGTTTCCGTGTCGTAATGATGTGACATGTTATTTAACTTGAAGGTTGGGGGGTCTAGCTTAACCC CCAAAGGCAGCCCGCGGGGTCGCTTGCGGGTTTTTTTGGTAACCGGATGGGCCAAAACATAAATGTCCTT TGAATCCGATAGTTTCATTTCATTGGCATACGCGTTGGAACAAACGGTCGGCTCCCCAGACACATCCATT TTCCGGGATATTTGTGGAAGATGGAGTAGAGTCTACCCATACACCGGAAAGGGCATCCAACAAAGCATCG CGTATGTCCCCGCTTTTATGTTCTTCACCAACAGATTGTGCCAGCCCCTTTAAGGTGACGTATGGATTTG TCCAGTACGCCATTTGTTTGTCTTTAAACCAAAGTATAACTTCCGGTACTGGACATTTTGTCTTAACCAC GATTCCCGATAGCGCCTCGCTGAGGTTTGATACCGGGGGTGCCGCATAGTCCCACGCCTCATATACCGAT GACACGCACGGTTCCGTTATAATCAAACTCACATCCGATAGCGGTTTGGCTCCAAAAAACAACGGAGTGT CGTCTTGGAGATGAAGACAATACGCGATTGTGATAGTTTTTAAAAAAACTATCTGCAGTAACCATTTATG TGATGCCATGACGCTTGTGTTTTCCCTTCACTACGACGTTGTCGTATCCTTTGAAAAACTTGACCACTCT AATGGAAGCATGGACAAGTATGAGTTTTATATATACAGTTGGCCTTTAGTTAAACTCTTGGTGTCATATC TCATTTTCCTAAAAAGGGCGATCTTAATATGTCAAACGTCACGGCGTGCCGACAAAGCGAATTTCCATGC AAGATTTGGATGTAGTATTTATACACCCAATCACATGTCACGTATTAAGCTTTACAGTCCCCCGTTATCT GATATAATCACTTTTCTTAACACGTCATCGGGAAAACAGATGTTTATATTATACCTCTCGCGGTCATTTA CGGCAAATACTTAGACCGTTTTCAAGCGGACTGAAAACGCTCAAATTGCCTTTTGGAGGCCTGCCCAACG GCCATTATCCCTTGGATCTAAGATTGATTTGCGGTAACGTTTGCCAATCAAGCTTTAAAAACGTACCCCA AACTTAAAACGCTCAAATTGCCTTTTGGAGGCCTGCCCAACGGCCATTATCCCTTGGATCTGAGATTGAT TTACGGTAACGTTTGCCAAACCCACGCATTTCAGTTTAAATATTTCTAAGCATTCTTAGTGCGTACTTGG CAGCGTGCTTAAAATATCAACCAATATCCATTATGCTACACGTTTCCTTCTATCCGTTTCAATCCATTAA AAGTCCATTAACAAAAATGATGCATCATACCTAATTCACCTAAAAACCTGACTCATTGCAGCAGCGTTTC CTCCTTGCAGACTATCCAGTTGGCATTTTAAACGGGTCCGGCTGCCTAAACCGAAAACACCGTTGCCTTT ACTGTAAGTACAAAACTAAAATTTATATTTGCGTGCGTATTTTGTAACATATATGCCTTTTATCCCCCCG CAAGTTTGCTTTACCCTCGCCTTCACCACCCCCGCCACCTTCCGGCCATTTTAATAACTTTAATTGCTAT AAGACATACCCAAACCGGATGATTTTTGCCGCTGGAAAAACAGCTTCTAATTTTCCCGTCTCAACTCGGC CTTGGTTGCATCTCCAAGTATACCTTTAGTTTGCTCCCGTAGAGGTGTATAAATACAAACGGTGACAAGT ATTGAGCGTAATCTCAAATTTTTGTAATTTAGGGCGGAGCGCTTACGACAGCACATGCGTACTGTTAGAC TGTTATGTTTATTGTATTTGCAGAGCAGGATGCCCCGGTTACTCCGAGACCGGATTGCGGGCATTCCGAA TCGTGTACGGACTTACCAGGGGGCAGTATTTACACCTTGGGTTCCAGATATACCAACCCTTACGACCAAT AGCAACACTCAGGTATTTTTAAAATGCACGTTTAATGATCATAATTTACATACAGTTGGTAATAAAGCAG ACTGTGGATGTTTAAGGCATTTCCTTCCCCCTCCCAACAAACTAGGACTTCTTCATCTTGTTTGGAATAC CTTTACCCGCTTTACCGGCAGAGCTTTTTTTGGTAAGGTGTTTCAGTGAACCTGATGTTGATCCGGAGGT GGAGGGGGTATTGGACTCCCCCTGTGGAGAGGCAACTTTGCGGGTTTTACTTCCCTTACATGCCGAATCA GACTCAGATGTCAGGTCTATTGTTAAGCATCGTTTAACGTCTCTGCCGGTATGAAATAAACGGCGCTTAG CACCCCTTGCGCTTCCCGGTTTAATCCCCGGTAACACAGAAAAAAGCCTGACTTTTTGGGGTGTATTTAC CAATCGGGTATCCCTTTCATCGCCACGAGAGGTCTCCCCGGTTGAGGTGGTTTCTGGTCTTACAATTGGA CCTGTAATTAGTTGGATGGCTGTATCTTTCCAGGTCCAGGTTTGCATGGTTAGGCGGGTTGGATCGGTAC ATCGATCCAACAAGAATAACATGTTTGTTACAAACGGTCCTGTTGAATCATGCAAAAGACAACGCAGGGA TGTTTTTAATCCCGCCTCATCACGCCCGTAAATACCTATATAGTTTAATATCAACATTTTTGTAGGCTCT ACAATTTCGGGTTGATACAGTTCCGCAAGTTGATCATCAAGCCATCCGAGTAAAGGTTGCATGTAACACG GGAATCTCGCGTTTCCCTCTGTTCCTCTATCCGTGGCTCGAAAAGGCAGTCTGTCCATGGTTCGTGGGTC TTGATTAATTCCCACAGATACTGGACGATCACGGTAGTCCTGCCCCCCGGTCCGGGGTTGCTGTGCAGAT TCAATCGAGCCATACACCACCGGGGTCGCCGATCGAACAGCAGGTTGGTCTTTAAAAAATACCTTCCGTA AAAATGATGCGGTAGAGCATGTTTTGGTTACACCAGGGCTCGAGTCTCGGGTCGGTGGTTGTATAGAATC CTGTTGAGAGTCACTTGGTGACTCTGCTGTGGGCTCTCTAGCCGACGATTGAAGGGGCCCAGGGTTTGGT GATTGAATGGGCTCCCGACTCGATCTTGATGTTGGCTGTTGGATGGACTCCCGACTCGGTCCTGGGCTTG GTGGCAGAAGATCTATGACATCTCCCGGTAGGATGTCGATGGAATCTTCAAATGACGGCTCAGAAAAACC ATCGTCGTCGGATGGGTGCACTTCATATTCCTTGTAACTTGTATCACTTACGATCTTATGCAGGATGGAT TGCACTGGACACCGGCAGAGAGGACACTGGACGCTGGTGGAGGTCCATGCCCGAATACAAACAAAGCAGA AGTCGTGCAAACACGGCATGGTTTTTCCGAGATCGGAAACGGTGCTCATGCATATGGTGCAGGTATTATC CGAAGCGTCGGAGGTGCCGCTACCGCCCGCTAATATGGTATCCATGGTAACAACTGGCTGTATTCTAATG TCCGGGCATCCAAACACGTAGCAGAACTGCCATGCGTTCTAAATTGTGAGTTGTGGCGAGTACATTTTTA TAATTGGTACCAACGAAGACACACCCCTATATCCCTCCACCCATTTCTTTTAAGTCCCACCCACTAAAAC GTGGGTATAAAATGTGTATTGGGGTAGGCGGACAGTCCCAACAAACAGGGAAGTTGATTGGTATAACCTT GGGCCGGGTATACAGCTAAGTGACATTTTAGATTCTGTCTTTATTTAGATAAAGAGCGATACGAAGACAT TTCTCCACCCCCCTGTAATACCCGTAAATAAAGGTAAGTCCACAAACAAAAGCACTGTATATAGGAAGTC GGGTGTATTGGGACAGTTACTCCATTAGAGGCGTACAAACAATACTGGGATAGGGTAATGCAAGTCCCCC CCGATGGTCGCCCCGCAAACGCGCGGGGAGGTGGGGTCGCTTTTTTTTTTCTCTCTCGAGGGGGCCGCGA GAGGGCTGGCCTCCTCTCCCGGGGTCCGCCGGGCGCCCAGAAACCGGGGGGGGGTTATTTTCGGGGGGGG GTCCGACCAGCCCGCCCGTCGCCCGCCCGCACAGACAGACAGACACTTTTTTCATAAAAACCGTTCCGCT TTTATTAACAACAAACAGTCCGCGCGCCAGTGGCGCTCACGAGAAAAGGAGGGGACTCCGTCACCCCCGA CTCTGCGGGGGGCTCCTCCCCCCGCGCCCTCCCCACACATCGTCCTCGTCCTCGGAGGACGAGGACGAGG ACAACAGCTCCACCTTGACCGCCGGGCGCAAACCCACCCGGCGGTCTCGCAGCACACCCGGGGCCACCGA CACGATGCTCACCCCAAAGGATGACCCCGGTGCGTCCCCGTCGTCCCCGCCCCCCTCCTCGCTGTCCCAC GCGTCTTCACACCCCACCTCCCAATCGTCCAGCTCCAAAGCGTGTTCTCTGTCGTCTGCGGTGCGCCGCT GTCGCCCCGCCTGGGTTTCTGACGGCCGTTCCGAGCCCCCGTGGTGTCCGAACACGAACCGTGTTCCGTC GCTCCCCTCCAACACCGTCTCCGCGGCCCCAAAACCGGGCGGCCACATTACTCTGGGAATCGGGGGGAGG GCATTCCGAGCCTCGTCCGCCGACGCATACAGCGCCACCGACCGACCGGCCACGGGTGGAAGCACGAGTG GTTCTGCGGCAGGGTCGGGTTCCAGCAGGGCGTGGCGGCAAAACACCCTCGCCCAGGTGGGTACGTCGCC GGCCTCCGGCCCGGCGGCCCCCGGTCTCCGTCCCTCGGGAAGGAAGACGGGTCGAAGCGCGGCACCCAGG CCCCATCGGTTTGCTGCGCGGTGGCTATGTGCCGCCTCGTCCACAAAGTCGGCTGCCCCGAGCCCCAGAC CCCGAGACTGTCGCGCGAGGTCCTTGCAACCGTCAAAACCCGGCAGCACGTACTGCCGGTATTCACGGGG CGACAGGGGGACGCGGGTCTTGGGGCCCGCGCGGGTACACACGGTGTATGCGACGTTCCCACCGCGGCAC AAACACAGGGGTTGTTCGCCCGGGTACAGGTTGGCAAACGCAGTCTCGATACGAGCAAAACTCGCTGGCC CAAAGGTGCGCGACGATGCAAACACGGCCCGGGCGAGTCCTTCTGTGACCGCCGAGTCTGGCCATCGGAC GACGGCCTGGGCGTCCGGTCGCGCCGGGGCCCGGACGTACACGTGATACTGAGACAAAGCGGGTCCATCC CTGGGCCACCTCTCGAGGGCCACCGCGTCCAACACCAGCAACCGGCGCCGGGCAGAGGCCAACCGCGAGC CTAGATACTCGACGGCCCCGGCAAAGGCCAGGTCTCGGGTCGACAGTAATAAAACGCCCCGGGCGTTCAA AGCGGACACGTCCGGCGGGCCGGTCCAGTTCCCGGCCCAGGCATGAGTGCTCGGCAGGCACAACCGGTTA CTCAGGGCTGCCAGGACCACAGACAGTCCCCCTCGGGATGGACTCCATGACGGTCCCGGATCTGTCGCGA GGGTGCTCTCGAGGGGGCCGTTGATGTCCTCTCCGGGCAACGGATCGTAGATGATCAGAAGCCTCACATC CTCCGGGTCTGGGATCTGCCGCATCCAGGCGCACCTCCGTCGCAGCGCCTCCACTCCGCTGGGTGGACCA AACCGTCGGTCTCCTCCGCCCGGACGCCGAGCGGCGATTTCCGCCAAGGCGCCGGGATCAAAGCTTAGCG CAGGGCGCCAGGCCGTGGGAAACAATGGGTCGTCGACCAGACGGGCGATGGTTTCGGGGGTACAGTACGC CTTGCGAGCCTGGTCCGACGGGACCGGGGTATGCAGGGCCCCCCGGGGAATACGCCGAAATCCCCCGTTT GGGGCCGGTCCGTCAAGTGGCATCGTTATTACGGCGGGGGGATCCACCACAGGGCCCGAGGTGATGGTCA CGGGCTCGGATACCCGCCTCTTGGCCTTGGAAACCACATGATCGTCTGCAACCCGGGCGTCCGCGACGGG TGTCTCCCTAATCTTGTCGAGGAGGCTTCTGCTCTCGACTGGCTGGGACTTGCGCTTGCGCGGAGTTCGT AAACGATCATCCGGTGGACACACAGAAAGAGAGCGTGCGGCGGCCGACGGCTGAGGGTCGGGAGCCTGTG TGGCCGGGGTTGTTGGAGAAGGGTGACCGCGGGAGATCCGCGCCGCCGGACTGGAGCCCGTTGCCTCGGG GTATGCCATGCTGGCAAAGGCTCTGCGGAGACTCTGTAGGATAAAGTGTTTTTGGGCCCGGTCGTATCGA CGGCTCATAGCCACGGCCGCGGCCGCGTGGGGGAGAGCCCAGAGGGCCTCCCCCGTGGCCATGGCTTCGC CTACATGCGGAACGGGAGACGCTACGCTCCCCGTAACGGCGGTACCCGCCCGTCCCGGTGGCAACAGCTT TTGGTAGAACTGGTTCAGGGCCGAGTTGACACCGGTCAGCTTGGGGTTCTGGAGCCATGCTATAGGGTCT CTGTCTGGACAGTAGATCAGGTTAATCAGCGCGCGGTACTGTCTAGCCGGATCTCCCAACTCCGGCACGT AAAGCGGCACGGGTTCCGTTGAGGCCTCGTAACGAGCCCGCGCCGCTCTCACAGCCTCATCCTCCCAGTG ACCCTCTCTGGTCTCCCCGGACGGTCCAAACCGCACCCTGTTGGATGGGAGGGGTGCCGATCCGGGCCAA GGGCTTCCGTCGGGCATCATGAGCGGCCCCGACACCGGGGGAATTATCGGGGTTCTGGATCGCGGCAGGG AAAATGATTTCTGTCTCTGGCGCCCCGGTTCCCCCGCAAGACGTTTGGTCTTACGAATCCTCGGATCGGG ACCGCTGATGGATCGATATCCCGGTTGGATATTTTGTTTCGTCGACCCACCATCATTTGAGTCCGAATCA TCCGAATTTGACGGGGAAGGGGCGTGTTCGCGTCCGGACCTGCTGCCTGTAGTTTCACTTCCCACCGAAA CGCGCCGGGGTTCATCGTCTTCATCCTCCGATGACGATCCCCACGACGAGGAAGAGGATGAAGACGAAAC AAACTCACGACTCTTTGGCTTTTTCTCCACTGGGCTGTCATCCTCAATCGGGTCTGGTGCGTGGGATCTT CCCGGCAGGGCCAAAAACGCTCTAGGTTTGCCCCCCGACGAACGTCCAGGGACGCGAGGTGTTATACCCC GGGCATCATGTTTCCTTGGGCGGGTATCATCGGTCTCAAACGGCAGGTCCGCCTTTGCCCCCTTAGCGGG AACGCTGTCCGAAAGGACGTGGTACAATTGCTCAACCGGGCCGGGTACAGGTCCACCGGGTTTCCGCGCC GGGAGTGGGACCTTAACCTTCAAAGTCTTTTTCTTCGGGCTCTTTCCCTGAGCGGGCCGTTGAGTTTTCT GGAGAACTACTCCGTCCCCCGATGCATGCGCATGACCCGCTTGCTCATCGCCCGGCTTTTTACCCGAGAT GGACTGAGTTTGTCTGTCTCGATGGACCACCGACGGCAAACCTGGTGAATTTCCTCTCGTCGTTTGTCGG GGTATAGACCGCTGGTCTTCCCGTTGATCGTTCCCGGCGGCGTCTCCAACAGGAGACGCGGGGGATACAG GGGAGAAGGCCTGCGGGAACGGAGGGGTCGTACCTCTGCCCGTTTCCCCATCGTTCATCGGTGGTTTTGG AGACCTAGCAAGCTTCGTTCCGAGAGAGACTGTCTCAAGGGAGCGATCGGCTCCTGTTGGTTCTCGCGCG CCGGCCTCCGAGAATCGGGTGTGGAAGACCTCGGCCAGCGGGATTACAGGCGAGCCCATTAGATCCTGAC CGTCCTCGCATACGTAGTCGTCTTGTGTTAGCTCTTCGCCAACATCTTCCGTTCTGGGTTCTGGTTGAAG TCCCGATACGGAGGGAATTGAAACGATCTCGTGTTCCCGTCCCACCATGACCCCGTTCTCTCCAAATAGT AGATCGTCAGGCTGACTCGAGGTGACCACCCGGGCCCTGTGTTCGGCGGCCGCCGCGGCCGCGTCCAACA GGTCCATTAACTCCAAAGTATCAGGCGACCCCGCGCGTTGGGGTGTAGAGCGCTGCATCGGCGGCGTATC CATCGCACTGGGGTGAATTTAGACGTACCCGAGTTTTCCAAACGCTCTCGCAGCCTTCAAAGGATTGCGA TTGCGGTTGGTGAGGGAGTTCCAACAGTACTTAAAACGTGTTGTGCCCCCCCCTCGACCGCATATTTCCT CCCCGTGTCGTCACCGTGTAAATATTCTTAATGATAAGACGATGTAGTGATTGGACGAGACTCGAGGCGG GAAGTTCATGGACCATAGTATGCGTTTAAGGAGAGACCGCTGGTTGGCGATGTACGCCCGGTGTCTATTT CCGCATACCTTACAACATCATAACAAGGGATACCAGACATGTGAATTTCATTTACATATGTTTAAATAAC AACCAATCATCGTGTGTCTACAGACGATATATAATATACATAAACACAATTGGGGTTGTCTCACATGCAA AACATCTTATATAACACGGGTTGTTTCCACCCATCCGGCATCTAGTTAATCAAATGCACGTCGACGGTGT GTTTGGGTCCCTCTCCGTCGTCATTACGTTCGCGCAATCAACAAGCGTATACACCACCACCCCTCCCAAC GATTATGTCAGGCGGCACGAAGCCCGCGATAACCCATAAAATACACACGGGGTTGTGGTGTTCACGTAAC CCCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCGATGGGGA GGGGGCGCGGTACCCCGCCGATGGGGAGGGGGCGCGGTACCCCGCCGATGGGGAGGGGGCGCGGTACCCC GCCGATGTTTATAACCATAATTCTCTAAACCGTTGTAGAAAATCACAAAAAAATTTATTCAAAAACAAGT CGAAGAACTTCATATCTGAGGCATGTAAACCCGTTCGCACTTCCTGGGGTGGAATGGGGTGGGGTGGGGG GGTGAAAAAGGGGGGGGGTTAAATTGGGCGTCCGCATGTCTGTGGTGTACGCCAATCGGATACACTCTTT TGATCTGCATTCGCACTTCCCGTTTTTTCACTGTATGGGTTTTCATGTTTTGGCATGTGTCCAACCACCG TTCGCACTTTCTTTCTATATATATATATATATATATATATATATATAGAGAAAGAGAGAGAGTTTCTTGT TCGCGCGTGTTCCCGCGATGTCGCGGTTTTATGGGGTGTGGGCGGGCTTTTCACAGAATATATATATTCC AAATGGAGCGGCAGGCTTTTTAAAATCGATTTGACGTGATAAAAAAAAACACACGGGGCCCCCCCCTTTT TTTGGTGTTATAAAGGCAACCCAATCGAAGGTCTCCCGCCCCGGAATCCCCCATTGCCATTTTACCCAAG TAGCCTTATTCATAGATGTAAACGTTTGGGTGTGTGTTTTGTTGTGCAGGGTTCGTCCGATTCATAACGC GACAGCGTCGAGTCGGTTTTAAGGGAAAAGGTTACTACGGCCCCAAGGACATGTTTTGCACCTCACCGGC TACGCGGGGCGACTCGTCCGAGTCAAAACCCGGGGCATCGGTTGATGTTAACGGAAAGATGGAATATGGA TCTGCACCAGGACCCCTGAACGGCCGGGATACGTCGCGGGGCCCCGGCGCGTTTTGTACTCCGGGTTGGG AGATCCACCCGGCCAGGCTCGTTGAGGACATCAACCGTGTTTTTTTATGTATTGCACAGTCGTCGGGACG CGTCACGCGAGATTCACGAAGATTGCGGCGCATATGCCTCGACTTTTATCTAATGGGTCGCACCAGACAG CGTCCCACGTTAGCGTGCTGGGAGGAATTGTTACAGCTTCAACCCACCCAGACGCAGTGCTTACGCGCTA CTTTAATGGAAGTGTCCCATCGACCCCCTCGGGGGGAAGACGGGTTCATTGAGGCGCCGAATGTTCCTTT GCATAGGAGCGCACTGGAATGTGACGTATCTGATGATGGTGGTGAAGACGATAGCGACGATGATGGGTCT ACGCCATCGGATGTAATTGAATTTCGGGATTCCGACGCGGAATCATCGGACGGGGAAGACTTTATAGTGG AAGAAGAATCAGAGGAGAGCACCGATTCTTGTGAACCAGACGGGGTACCCGGCGATTGTTATCGAGACGG GGATGGGTGCAACACCCCGTCCCCAAAGAGACCCCAGCGTGCCATCGAGCGATACGCGGGTGCAGAAACC GCGGAATATACAGCCGCGAAAGCGCTCACCGCGTTGGGCGAGGGGGGTGTAGATTGGAAGCGACGTCGAC ACGAAGCCCCGCGCCGGCATGATATACCGCCCCCCCATGGCGTGTAGTCTTTATAAATAAATACAATGGT TTGGCTCGTGTCTTTTTTTGATGTCTGTCTGTGGGGGAGTGGGGTGTTGTGGATATTAGAGGGTAGAGGG TGCTGGTTTGAACGTCTCCATTAACCCACGGGGTCCCCACACGGGCCGTGTGGTATGAATCTCTGCGGAT CCCGCGGTGAGCACCCGGGCGGTGAATATGCCGGACTTTACTGCACACGACACGATACCCCCGCGCACCA GGCTCTCATGAACGACGCCGAACGGTACTTCGCCGCCGCGCTATGCGCCATATCTACCGAGGCCTACGAG GCTTTTATACACAGCCCCTCCGAGAGACCGTGCGCGAGTTTGTGGGGGAGGGCAAAGGACGCCTTCGGAC GGATGTGCGGGGAGCTCGCAGCGGATAGACAACGTCCACCCTCGGTTCCGCCGATCCGCAGAGCGGTGTT ATCGTTATTACGCGAGCAATGCATGCCGGATCCACAATCGCATCTGGAGCTCAGCGAGCGGCTGATATTG ATGGCATATTGGTGCTGTTTGGGACACGCCGGACTTCCGACTATTGGATTGTCGCCCGATAATAAATGCA TCCGCGCCGAATTATATGACCGCCCCGGGGGAATTTGTCACAGGCTTTTTGACGCGTACCTGGGCTGCGG GTCCCTTGGAGTCCCAAGAACCTACGAGAGATCCTGACACCCCATCCCTTTATATAGAAAAAAAAAATAA ATTTAAAACATACACCGGATAAAAGCGTACTGTTTTTTATTTAAATTTACACGCTCGGCGTTGCCCCGGT TCGGTGATCACCGGGTCTTATCTATATACACCGTGTAACTCGAACCCCCGTGACTCCCTCCAATCGCGTT ACCAAACTCTTCTTCCGTATCCGTAGATTCCGAGTCCTCGAAATCGTCCACTTATCCAACAAATTGTGAC GTTATATATCCCAAGGCAAAGGCCGCTCCCGTCATAGCAAATACAAAGACAATTATTAGCGTAATATAAC AGAATTTTTTACGATGATATATTTTATGTTGATATTTTCCAATTCGACGCAAAAATTCATCTGCCGTTTC ATTTTCGCTATCACTATAATAACACTTTTCAGCCGAACGGCTCGGTTGTATGGCTGTTATCGTTGTATTA TTTGGTTGCGCTCGCGGGGTTACCACCGCTTCCATCAGTAAGGCCACGGCCTCACCCTCCATGGTGTTTT GTCCGGCCATAGAAATCCAGATTGTAAGGCCAGCAGGCTAGTTTAAAAGTGTTTAATACCACACCTTTTG ATATTTATATACATGCAAGATTCTAGATTATTCATCAATAGGTCGTTTAAAGCGCGTTTTCATAAACGTT GTCAGCTATACCGACATTCTCACAAAGAGGTAAAGTTACCTTACGTTATTATTAAATAAAACATGTAGAC ATTATTAATAATCCTAGGAACAATCAAATCCATATTTGTAAGTTATGTTTAACCCCTCCCCTTTTTGTCA TTATCTCCGCCCTCTTATAATCGGATCACTTTATAAGTGTGTCGGTGAGTATATTTTGTACAGTTGTTGG ACAACAGGTTTTTGGTTCATTAACACTATCAACATAAGTCGGGGTATACAAGTATAATGAACGACGTTGA TGCAACAGACACCTTTGTTGGACAAGGAAAGTTCCGTGGCGCCATCTCAACATCACCGTCACATATTATG CAAACATGTGGGTTTATACAACAGATGTTTCCAGTTGAAATGTCGCCCGGCATAGAATCTGAGGATGATC CCAATTATGACGTTAACATGGATATACAGTCTTTTAATATATTTGATGGTGTACACGAAACTGAAGCCGA AGCCTCTGTGGCATTGTGCGCAGAAGCACGCGTTGGAATTAATAAAGCGGGATTTGTAATATTAAAAACG TTTACACCAGGGGCGGAAGGTTTTGCGTTTGCGTGTATGGACAGTAAAACATGTGAACATGTGGTCATTA AAGCGGGTCAACGTCAAGGAACGGCCACCGAGGCAACCGTGTTAAGAGCGTTAACCCACCCATCCGTTGT ACAGCTTAAAGGAACGTTTACGTATAACAAAATGACATGTCTTATATTACCACGTTACCGAACAGATTTA TACTGCTATCTAGCTGCAAAGCGCAACCTCCCCATATGTGACATTTTAGCAATTCAGCGATCTGTATTAC GCGCGTTACAGTATCTTCATAATAACAGTATTATTCACCGTGATATAAAATCTGAAAATATATTTATTAA CCACCCAGGTGATGTTTGTGTGGGAGACTTTGGAGCAGCGTGTTTCCCCGTGGATATTAATGCCAACAGG TATTATGGCTGGGCTGGAACAATCGCCACAAACTCTCCTGAGTTATTGGCTAGAGATCCATATGGACCTG CCGTGGACATATGGAGTGCCGGGATTGTATTATTTGAAATGGCTACAGGACAGAACTCGTTATTTGAACG AGACGGTTTAGATGGCAATTGTGACAGTGAGCGTCAAATTAAACTTATTATACGACGATCTGGAACTCAT CCCAATGAATTTCCCATTAACCCTACATCAAATCTTCGTCGACAATACATTGGTTTGGCAAAACGGTCTT CTCGAAAACCCGGATCCAGGCCATTGTGGACAAATCTATATGAGTTGCCAATTGATTTGGAGTATTTGAT ATGTAAGATGTTATCGTTTGACGCACGTCATCGACCATCAGCAGAGGTGTTGCTTAACCACTCTGTTTTC CAAACTCTTCCCGATCCATATCCAAATCCAATGGAAGTTGGAGATTAAAATTCATTAAGCCTGTTAATAA AATATTGTATAAATTGTGTTTATAACGTATAACCCGTTAAGGCAAATAGGGTACAAACGCGCAATGTTTT GAAATACTAATATAAATAACATAACCAATAGAAACTTAATACAGAGTCACGCCCCATTACAACAAGGATA AAACACGGGATCATTTTCTTAACATTGTAGTAGCGCTGAAAAGCGTCCCCTCCCCCGGCTCACAGAGCTG CTCTTCGGTGTAGTTGGGTATACTGGTGCGCCTCATTTAATCGCGATGTTTTTAATCCAATGTTTGATAT CGGCCGTTATATTTTACATACAAGTGACCAACGCTTTGATCTTCAAGGGCGACCACGTGAGCTTGCAAGT TAACAGCAGTCTCACGTCTATCCTTATTCCCATGCAAAATGATAATTATACAGAGATAAAAGGACAGCTT GTCTTTATTGGAGAGCAACTACCTACCGGGACAAACTATAGCGGAACACTGGAACTGTTATACGCGGATA CGGTGGCGTTTTGTTTCCGGTCAGTACAAGTAATAAGATACGACGGATGTCCCCGGATTAGAACGAGCGC TTTTATTTCGTGTAGGTACAAACATTCGTGGCATTATGGTAACTCAACGGATCGGATATCAACAGAGCCG GATGCTGGTGTAATGTTGAAAATTACCAAACCGGGAATAAATGATGCTGGTGTGTATGTACTTCTTGTTC GGTTAGACCATAGCAGATCCACCGATGGTTTCATTCTTGGTGTAAATGTATATACAGCGGGCTCGCATCA CAACATTCACGGGGTTATCTACACTTCTCCGTCTCTACAGAATGGATATTCTACAAGAGCCCTTTTTCAA CAAGCTCGTTTGTGTGATTTACCCGCGACACCCAAAGGGTCCGGTACCTCCCTGTTTCAACATATGCTTG ATCTTCGTGCCGGTAAATCGTTAGAGGATAACCCTTGGTTACATGAGGACGTTGTTACGACAGAAACTAA GTCCGTTGTTAAGGAGGGGATAGAAAATCACGTATATCCAACGGATATGTCCACGTTACCCGAAAAGTCC CTTAATGATCCTCCAGAAAATCTACTTATAATTATTCCTATAGTAGCGTCTGTCATGATCCTCACCGCCA TGGTTATTGTTATTGTAATAAGCGTTAAGCGACGTAGAATTAAAAAACATCCAATTTATCGCCCAAATAC AAAAACAAGAAGGGGCATACAAAATGCGACACCAGAATCCGATGTGATGTTGGAGGCCGCCATTGCACAA CTAGCAACGATTCGCGAAGAATCCCCCCCACATTCCGTTGTAAACCCGTTTGTTAAATAGAACTAATTAT CCCGGATTTTATATTAAATAAACTATATGCGTTTTATTTAGCGTTTTGATTACGCGTTGTGATATGAGGG GAAGGATTAAGAATCTCCTAACTATAAGTTAACACGCCCACATTTGGGCGGGGATGTTTTATGAAGCCTT AAAGGCCGAGCTGGTATACACGAGAGCAGTCCATGGTTTTAGACCTCGGGCGAATTGCGTGGTTTTAAGT GACTATATTCCGAGGGTCGCCTGTAATATGGGGACAGTTAATAAACCTGTGGTGGGGGTATTGATGGGGT TCGGAATTATCACGGGAACGTTGCGTATAACGAATCCGGTCAGAGCATCCGTCTTGCGATACGATGATTT TCACACCGATGAAGACAAACTGGATACAAACTCCGTATATGAGCCTTACTACCATTCAGATCATGCGGAG TCTTCATGGGTAAATCGGGGAGAGTCTTCGCGAAAAGCGTACGATCATAACTCACCTTATATATGGCCAC GTAATGATTATGATGGATTTTTAGAGAACGCACACGAACACCATGGGGTGTATAATCAGGGCCGTGGTAT CGATAGCGGGGAACGGTTAATGCAACCCACACAAATGTCTGCACAGGAGGATCTTGGGGACGATACGGGC ATCCACGTTATCCCTACGTTAAACGGCGATGACAGACATAAAATTGTAAATGTGGACCAACGTCAATACG GTGACGTGTTTAAAGGAGATCTTAATCCAAAACCCCAAGGCCAAAGACTCATTGAGGTGTCAGTGGAAGA AAATCACCCGTTTACTTTACGCGCACCGATTCAGCGGATTTATGGAGTCCGGTACACCGAGACTTGGAGC TTTTTGCCGTCATTAACCTGTACGGGAGACGCAGCGCCCGCCATCCAGCATATATGTTTAAAACATACAA CATGCTTTCAAGACGTGGTGGTGGATGTGGATTGCGCGGAAAATACTAAAGAGGATCAGTTGGCCGAAAT CAGTTACCGTTTTCAAGGTAAGAAGGAAGCGGACCAACCGTGGATTGTTGTAAACACGAGCACACTGTTT GATGAACTCGAATTAGACCCCCCCGAGATTGAACCGGGTGTCTTGAAAGTACTTCGGACAGAAAAACAAT ACTTGGGTGTGTACATTTGGAACATGCGCGGCTCCGATGGTACGTCTACCTACGCCACGTTTTTGGTCAC CTGGAAAGGGGATGAAAAAACAAGAAACCCTACGCCCGCAGTAACTCCTCAACCAAGAGGGGCTGAGTTT CATATGTGGAATTACCACTCGCATGTATTTTCAGTTGGTGATACGTTTAGCTTGGCAATGCATCTTCAGT ATAAGATACATGAAGCGCCATTTGATTTGCTGTTAGAGTGGTTGTATGTCCCCATCGATCCTACATGTCA ACCAATGCGGTTATATTCTACGTGTTTGTATCATCCCAACGCACCCCAATGCCTCTCTCATATGAATTCC GGTTGTACATTTACCTCGCCACATTTAGCCCAGCGTGTTGCAAGCACAGTGTATCAAAATTGTGAACATG CAGATAACTACACCGCATATTGTCTGGGAATATCTCATATGGAGCCTAGCTTTGGTCTAATCTTACACGA CGGGGGCACCACGTTAAAGTTTGTAGATACACCCGAGAGTTTGTCGGGATTATACGTTTTTGTGGTGTAT TTTAACGGGCATGTTGAAGCCGTAGCATACACTGTTGTATCCACAGTAGATCATTTTGTAAACGCAATTG AAGAGCGTGGATTTCCGCCAACGGCCGGTCAGCCACCGGCGACTACTAAACCCAAGGAAATTACCCCCGT AAACCCCGGAACGTCACCACTTCTACGATATGCCGCATGGACCGGAGGGCTTGCAGCAGTAGTACTTTTA TGTCTCGTAATATTTTTAATCTGTACGGCTAAACGAATGAGGGTTAAAGCCTATAGGGTAGACAAGTCCC CGTATAACCAAAGCATGTATTACGCTGGCCTTCCAGTGGACGATTTCGAGGACTCGGAATCTACGGATAC GGAAGAAGAGTTTGGTAACGCGATTGGAGGGAGTCACGGGGGTTCGAGTTACACGGTGTATATAGATAAG ACCCGGTGATCACCGAACCGGGGCAACGCCGAGCGTGTAAATTTAAATAAAAAACAGTACGCTTTTATCC GGTGTATGTTTTAAATTTATTTTTTTTTTCTATATAAAGGGATGGGGTGTCAGGATCTCTCGTAGGTTCT TGGGACTCCAAGGGACCCGCAGCCCAGGTACGCGTCAAAAAGCCTGTGACAAATTCCCCCGGGGCGGTCA TATAATTCGGCGCGGATGCATTTATTATCGGGCGACAATCCAATAGTCGGAAGTCCGGCGTGTCCCAAAC AGCACCAATATGCCATCAATATCAGCCGCTCGCTGAGCTCCAGATGCGATTGTGGATCCGGCATGCATTG CTCGCGTAATAACGATAACACCGCTCTGCGGATCGGCGGAACCGAGGGTGGACGTTGTCTATCCGCTGCG AGCTCCCCGCACATCCGTCCGAAGGCGTCCTTTGCCCTCCCCCACAAACTCGCGCACGGTCTCTCGGAGG GGCTGTGTATAAAAGCCTCGTAGGCCTCGGTAGATATGGCGCATAGCGCGGCGGCGAAGTACCGTTCGGC GTCGTTCATGAGAGCCTGGTGCGCGGGGGTATCGTGTCGTGTGCAGTAAAGTCCGGCATATTCACCGCCC GGGTGCTCACCGCGGGATCCGCAGAGATTCATACCACACGGCCCGTGTGGGGACCCCGTGGGTTAATGGA GACGTTCAAACCAGCACCCTCTACCCTCTAATATCCACAACACCCCACTCCCCCACAGACAGACATCAAA AAAAGACACGAGCCAAACCATTGTATTTATTTATAAAGACTACACGCCATGGGGGGGCGGTATATCATGC CGGCGCGGGGCTTCGTGTCGACGTCGCTTCCAATCTACACCCCCCTCGCCCAACGCGGTGAGCGCTTTCG CGGCTGTATATTCCGCGGTTTCTGCACCCGCGTATCGCTCGATGGCACGCTGGGGTCTCTTTGGGGACGG GGTGTTGCACCCATCCCCGTCTCGATAACAATCGCCGGGTACCCCGTCTGGTTCACAAGAATCGGTGCTC TCCTCTGATTCTTCTTCCACTATAAAGTCTTCCCCGTCCGATGATTCCGCGTCGGAATCCCGAAATTCAA TTACATCCGATGGCGTAGACCCATCATCGTCGCTATCGTCTTCACCACCATCATCAGATACGTCACATTC CAGTGCGCTCCTATGCAAAGGAACATTCGGCGCCTCAATGAACCCGTCTTCCCCCCGAGGGGGTCGATGG GACACTTCCATTAAAGTAGCGCGTAAGCACTGCGTCTGGGTGGGTTGAAGCTGTAACAATTCCTCCCAGC ACGCTAACGTGGGACGCTGTCTGGTGCGACCCATTAGATAAAAGTCGAGGCATATGCGCCGCAATCTTCG TGAATCTCGCGTGACGCGTCCCGACGACTGTGCAATACATAAAAAAACACGGTTGATGTCCTCAACGAGC CTGGCCGGGTGGATCTCCCAACCCGGAGTACAAAACGCGCCGGGGCCCCGCGACGTATCCCGGCCGTTCA GGGGTCCTGGTGCAGATCCATATTCCATCTTTCCGTTAACATCAACCGATGCCCCGGGTTTTGACTCGGA CGAGTCGCCCCGCGTAGCCGGTGAGGTGCAAAACATGTCCTTGGGGCCGTAGTAACCTTTTCCCTTAAAA CCGACTCGACGCTGTCGCGTTATGAATCGGACGAACCCTGCACAACAAAACACACACCCAAACGTTTACA TCTATGAATAAGGCTACTTGGGTAAAATGGCAATGGGGGATTCCGGGGCGGGAGACCTTCGATTGGGTTG CCTTTATAACACCAAAAAAAGGGGGGGGCCCCGTGTGTTTTTTTTTATCACGTCAAATCGATTTTAAAAA GCCTGCCGCTCCATTTGGAATATATATATTCTGTGAAAAGCCCGCCCACACCCCATAAAACCGCGACATC GCGGGAACACGCGCGAACAAGAAACTCTCTCTCTTTCTCTATATATATATATATATATATATATATATAT AGAAAGAAAGTGCGAACGGTGGTTGGACACATGCCAAAACATGAAAACCCATACAGTGAAAAAACGGGAA GTGCGAATGCAGATCAAAAGAGTGTATCCGATTGGCGTACACCACAGACATGCGGACGCCCAATTTAACC CCCCCCCTTTTTCACCCCCCCACCCCACCCCATTCCACCCCAGGAAGTGCGAACGGGTTTACATGCCTCA GATATGAAGTTCTTCGACTTGTTTTTGAATAAATTTTTTTGTGATTTTCTACAACGGTTTAGAGAATTAT GGTTATAAACATCGGCGGGGTACCGCGCCCCCTCCCCATCGGCGGGGTACCGCGCCCCCTCCCCATCGGC GGGGTACCGCGCCCCCTCCCCATCGGCGGGGTACCGCGCCCCCTCCCCATCGGCGGGGTACCGCGCCCCC TCCCCATCGGCGGGGGGTTACGTGAACACCACAACCCCGTGTGTATTTTATGGGTTATCGCGGGCTTCGT GCCGCCTGACATAATCGTTGGGAGGGGTGGTGGTGTATACGCTTGTTGATTGCGCGAACGTAATGACGAC GGAGAGGGACCCAAACACACCGTCGACGTGCATTTGATTAACTAGATGCCGGATGGGTGGAAACAACCCG TGTTATATAAGATGTTTTGCATGTGAGACAACCCCAATTGTGTTTATGTATATTATATATCGTCTGTAGA CACACGATGATTGGTTGTTATTTAAACATATGTAAATGAAATTCACATGTCTGGTATCCCTTGTTATGAT GTTGTAAGGTATGCGGAAATAGACACCGGGCGTACATCGCCAACCAGCGGTCTCTCCTTAAACGCATACT ATGGTCCATGAACTTCCCGCCTCGAGTCTCGTCCAATCACTACATCGTCTTATCATTAAGAATATTTACA CGGTGACGACACGGGGAGGAAATATGCGGTCGAGGGGGGGGCACAACACGTTTTAAGTACTGTTGGAACT CCCTCACCAACCGCAATCGCAATCCTTTGAAGGCTGCGAGAGCGTTTGGAAAACTCGGGTACGTCTAAAT TCACCCCAGTGCGATGGATACGCCGCCGATGCAGCGCTCTACACCCCAACGCGCGGGGTCGCCTGATACT TTGGAGTTAATGGACCTGTTGGACGCGGCCGCGGCGGCCGCCGAACACAGGGCCCGGGTGGTCACCTCGA GTCAGCCTGACGATCTACTATTTGGAGAGAACGGGGTCATGGTGGGACGGGAACACGAGATCGTTTCAAT TCCCTCCGTATCGGGACTTCAACCAGAACCCAGAACGGAAGATGTTGGCGAAGAGCTAACACAAGACGAC TACGTATGCGAGGACGGTCAGGATCTAATGGGCTCGCCTGTAATCCCGCTGGCCGAGGTCTTCCACACCC GATTCTCGGAGGCCGGCGCGCGAGAACCAACAGGAGCCGATCGCTCCCTTGAGACAGTCTCTCTCGGAAC GAAGCTTGCTAGGTCTCCAAAACCACCGATGAACGATGGGGAAACGGGCAGAGGTACGACCCCTCCGTTC CCGCAGGCCTTCTCCCCTGTATCCCCCGCGTCTCCTGTTGGAGACGCCGCCGGGAACGATCAACGGGAAG ACCAGCGGTCTATACCCCGACAAACGACGAGAGGAAATTCACCAGGTTTGCCGTCGGTGGTCCATCGAGA CAGACAAACTCAGTCCATCTCGGGTAAAAAGCCGGGCGATGAGCAAGCGGGTCATGCGCATGCATCGGGG GACGGAGTAGTTCTCCAGAAAACTCAACGGCCCGCTCAGGGAAAGAGCCCGAAGAAAAAGACTTTGAAGG TTAAGGTCCCACTCCCGGCGCGGAAACCCGGTGGACCTGTACCCGGCCCGGTTGAGCAATTGTACCACGT CCTTTCGGACAGCGTTCCCGCTAAGGGGGCAAAGGCGGACCTGCCGTTTGAGACCGATGATACCCGCCCA AGGAAACATGATGCCCGGGGTATAACACCTCGCGTCCCTGGACGTTCGTCGGGGGGCAAACCTAGAGCGT TTTTGGCCCTGCCGGGAAGATCCCACGCACCAGACCCGATTGAGGATGACAGCCCAGTGGAGAAAAAGCC AAAGAGTCGTGAGTTTGTTTCGTCTTCATCCTCTTCCTCGTCGTGGGGATCGTCATCGGAGGATGAAGAC GATGAACCCCGGCGCGTTTCGGTGGGAAGTGAAACTACAGGCAGCAGGTCCGGACGCGAACACGCCCCTT CCCCGTCAAATTCGGATGATTCGGACTCAAATGATGGTGGGTCGACGAAACAAAATATCCAACCGGGATA TCGATCCATCAGCGGTCCCGATCCGAGGATTCGTAAGACCAAACGTCTTGCGGGGGAACCGGGGCGCCAG AGACAGAAATCATTTTCCCTGCCGCGATCCAGAACCCCGATAATTCCCCCGGTGTCGGGGCCGCTCATGA TGCCCGACGGAAGCCCTTGGCCCGGATCGGCACCCCTCCCATCCAACAGGGTGCGGTTTGGACCGTCCGG GGAGACCAGAGAGGGTCACTGGGAGGATGAGGCTGTGAGAGCGGCGCGGGCTCGTTACGAGGCCTCAACG GAACCCGTGCCGCTTTACGTGCCGGAGTTGGGAGATCCGGCTAGACAGTACCGCGCGCTGATTAACCTGA TCTACTGTCCAGACAGAGACCCTATAGCATGGCTCCAGAACCCCAAGCTGACCGGTGTCAACTCGGCCCT GAACCAGTTCTACCAAAAGCTGTTGCCACCGGGACGGGCGGGTACCGCCGTTACGGGGAGCGTAGCGTCT CCCGTTCCGCATGTAGGCGAAGCCATGGCCACGGGGGAGGCCCTCTGGGCTCTCCCCCACGCGGCCGCGG CCGTGGCTATGAGCCGTCGATACGACCGGGCCCAAAAACACTTTATCCTACAGAGTCTCCGCAGAGCCTT TGCCAGCATGGCATACCCCGAGGCAACGGGCTCCAGTCCGGCGGCGCGGATCTCCCGCGGTCACCCTTCT CCAACAACCCCGGCCACACAGGCTCCCGACCCTCAGCCGTCGGCCGCCGCACGCTCTCTTTCTGTGTGTC CACCGGATGATCGTTTACGAACTCCGCGCAAGCGCAAGTCCCAGCCAGTCGAGAGCAGAAGCCTCCTCGA CAAGATTAGGGAGACACCCGTCGCGGACGCCCGGGTTGCAGACGATCATGTGGTTTCCAAGGCCAAGAGG CGGGTATCCGAGCCCGTGACCATCACCTCGGGCCCTGTGGTGGATCCCCCCGCCGTAATAACGATGCCAC TTGACGGACCGGCCCCAAACGGGGGATTTCGGCGTATTCCCCGGGGGGCCCTGCATACCCCGGTCCCGTC GGACCAGGCTCGCAAGGCGTACTGTACCCCCGAAACCATCGCCCGTCTGGTCGACGACCCATTGTTTCCC ACGGCCTGGCGCCCTGCGCTAAGCTTTGATCCCGGCGCCTTGGCGGAAATCGCCGCTCGGCGTCCGGGCG GAGGAGACCGACGGTTTGGTCCACCCAGCGGAGTGGAGGCGCTGCGACGGAGGTGCGCCTGGATGCGGCA GATCCCAGACCCGGAGGATGTGAGGCTTCTGATCATCTACGATCCGTTGCCCGGAGAGGACATCAACGGC CCCCTCGAGAGCACCCTCGCGACAGATCCGGGACCGTCATGGAGTCCATCCCGAGGGGGACTGTCTGTGG TCCTGGCAGCCCTGAGTAACCGGTTGTGCCTGCCGAGCACTCATGCCTGGGCCGGGAACTGGACCGGCCC GCCGGACGTGTCCGCTTTGAACGCCCGGGGCGTTTTATTACTGTCGACCCGAGACCTGGCCTTTGCCGGG GCCGTCGAGTATCTAGGCTCGCGGTTGGCCTCTGCCCGGCGCCGGTTGCTGGTGTTGGACGCGGTGGCCC TCGAGAGGTGGCCCAGGGATGGACCCGCTTTGTCTCAGTATCACGTGTACGTCCGGGCCCCGGCGCGACC GGACGCCCAGGCCGTCGTCCGATGGCCAGACTCGGCGGTCACAGAAGGACTCGCCCGGGCCGTGTTTGCA TCGTCGCGCACCTTTGGGCCAGCGAGTTTTGCTCGTATCGAGACTGCGTTTGCCAACCTGTACCCGGGCG AACAACCCCTGTGTTTGTGCCGCGGTGGGAACGTCGCATACACCGTGTGTACCCGCGCGGGCCCCAAGAC CCGCGTCCCCCTGTCGCCCCGTGAATACCGGCAGTACGTGCTGCCGGGTTTTGACGGTTGCAAGGACCTC GCGCGACAGTCTCGGGGTCTGGGGCTCGGGGCAGCCGACTTTGTGGACGAGGCGGCACATAGCCACCGCG CAGCAAACCGATGGGGCCTGGGTGCCGCGCTTCGACCCGTCTTCCTTCCCGAGGGACGGAGACCGGGGGC CGCCGGGCCGGAGGCCGGCGACGTACCCACCTGGGCGAGGGTGTTTTGCCGCCACGCCCTGCTGGAACCC GACCCTGCCGCAGAACCACTCGTGCTTCCACCCGTGGCCGGTCGGTCGGTGGCGCTGTATGCGTCGGCGG ACGAGGCTCGGAATGCCCTCCCCCCGATTCCCAGAGTAATGTGGCCGCCCGGTTTTGGGGCCGCGGAGAC GGTGTTGGAGGGGAGCGACGGAACACGGTTCGTGTTCGGACACCACGGGGGCTCGGAACGGCCGTCAGAA ACCCAGGCGGGGCGACAGCGGCGCACCGCAGACGACAGAGAACACGCTTTGGAGCTGGACGATTGGGAGG TGGGGTGTGAAGACGCGTGGGACAGCGAGGAGGGGGGCGGGGACGACGGGGACGCACCGGGGTCATCCTT TGGGGTGAGCATCGTGTCGGTGGCCCCGGGTGTGCTGCGAGACCGCCGGGTGGGTTTGCGCCCGGCGGTC AAGGTGGAGCTGTTGTCCTCGTCCTCGTCCTCCGAGGACGAGGACGATGTGTGGGGAGGGCGCGGGGGGA GGAGCCCCCCGCAGAGTCGGGGGTGACGGAGTCCCCTCCTTTTCTCGTGAGCGCCACTGGCGCGCGGACT GTTTGTTGTTAATAAAAGCGGAACGGTTTTTATGAAAAAAGTGTCTGTCTGTCTGTGCGGGCGGGCGACG GGCGGGCTGGTCGGACCCCCCCCCGAAAATAACCCCCCCCCGGTTTCTGGGCGCCCGGCGGACCCCGGGA GAGG ================================================ FILE: tests/input/TestOrderAndOrient/ref.hiv.fasta ================================================ >gi|55139330|gb|AY772699.1| HIV-1 isolate 04ZASK146B1 from South Africa, complete genome TCTGTTGTGTGACTCTGGTAACTAGAGATCCCTCAGACCTTCAGTGTTAGTGTGGAAAATCTCTAGCAGT GGCGCCCGAACAGGGACCGGAAAGCGAAAGTAAAACCAGAGAAGATCTCTCGACGCAGGACTCGGCTTGC TGAAGTGCACTCGGCAAGAGGCGAGAGCGGCGACTGGTGAGTACGCCAATTTTTATTTGACTAGCGGAGG CTAGAAGGAGAGAGATGGGTGCGAGAGCGTCAGTATTAAGAGGCGAAAAATTAGATACATGGGAAAAAAT TAGGTTAAGGCCAGGGGGAAAGAAACACTATATGCTAAAACACATAGTATGGGCAAGCAGGGAGCTGGAA AGATTTGCACTCAACCCTGGCCTTTTAGAAACATCAGAAGGCTGTAAACAAATATTGGCACAAATACAAC CAGCTATTCAGACAGGAACAGAGGAACTTAAATCATTATTCAACACAATAGCAGTTCTCTATTGTGTACA TAAAAAGATAGATGTAAGAGACACCAAGGAAGCCTTAGACAAGATAGAGGAAGAGCAAAACAAAAGTCAG CAAAAAACACAGCAGGCAAAAGCGGCTGACGAAAAGGTCAGTCAAAATTTTCCTATAGTACAGAATCTTC AAGGGCAAATGGTACATCAACCCCTATCACCTAGAACCTTGAATGCATGGGTAAAAGTAATAGAGGAGAA GGGTTTTAACCCAGAGGTAATACCCATGTTTACAGCATTATCAGAGGGAGCCACCCCACAAGATTTGAAC ACCATGCTAAATACGGTGGGGGGACATCAAGCAGCCATGCAGATGTTAAAAGATACCATCAATGAAGAGG CTGCAGAATGGGATAGATTACATCCAGTACATGCAGGGCCTGTCGCACCAGGCCAAATGAGAGAACCAAG GGGAAGTGACATAGCAGGAACTACTAGTAACCTTCAGGAACAAGTAGCATGGATGACAAGTAACCCACCT ATTCCAGTGGGAGACATCTATAAAAGATGGATAATTCTGGGATTAAATAAAATAGTGAGGATGTATAGCC CGGTCAGCATTTTGGACATAAAACAAGGGCCAAAGGAACCCTTTAGAGACTATGTAGATCGGTTCTTTAA AACTTTAAGAGCTGAACAAGCTACACAAGAGGTAAAAAATTGGATGACAGACACCTTGTTGGTCCAAAAT GCGAACCCAGATTGTAAGACCATTTTAAGAGCATTAGGACCAGGGGCTACATTAGAAGAAATGATGGCAG CATGTCAAGGGGTGGGAGGACCTGGCCACAAGGCAAGAGTGTTGGCTGAGGCAATGAGCCAAATAAACAA TGGAAACATAATGATGCAGAGAAGTAATTTTAAAGGCCCTAAAAGAATTGTTAAATGTTTTAACTGTGGC AAGGGGAGGCACATAGCCAAAAATTGCAGGGCCCCTAGGAAAAAAGGCTGTTGGAAATGTGGAAAGGAAG GACACCAAATGAAAGACTGTACTGAAAGGCAGGCTAATTTTTTAGGGAAAATTTGGCCTTCCCAGAAGGG GAGGCCAGGGAATTTTCTCCAGAACAGACTAGAGCCAACAGCCCCACCAGCAGAGAGCTTCAGGTTCGAG GAGACGACCCCTGCTCCGAAACAGGAGCTGAAAGACAGGGAACCTTTAACTTCCCTCAGATCACTCTTTG GCAGCGACCCCTTGTCTCAATAAAAATAGGGGGCCAGACAAGGGAGGCTCTCTTAGACACAGGAGCAGAT GATACAGTATTAGAAGAAATAAATTTGCCAGGAAAATGGAAACCAAAAATGATAGGAGGAATTGGAGGTT TTATCAAAGTAAGACAGTATGATCAGATACTTATAGAAATTTGTGGAAAAAAGGCTATAGGTACAGTATT GGTAGGGCCTACACCTGTCAACATAATTGGAAGAAACATGTTGACTCAGCTTGGATGCACACTAAATTTT CCAATTAGTCCCATTGAAACTGTACCAGTAAAACTGAAGCCAGGAATGGATGGCCCAAAGGTTAAACAAT GGCCATTGTCAGAAGAGAAAATAAAAGCATTAACAGCAATTTGTGAGGAGATGGAGAAGGAAGGAAAAAT TACAAAAATCGGGCCTGAAAATCCATATAACACCCCAATATTCGCCATAAAAAAGAAGGACAGTACTAAG TGGAGAAAATTAGTAGATTTCAGGGAACTCAATAAAAGAACTCAAGACTTTTGGGAAGTTCAATTAGGAA TACCACATCCAGCAGGGTTAAAAAAGAAAAAATCAGTGACAGTACTAGATGTGGGGGATGCATATTTTTC AGTTCCTCTAGATGAAGGCTTCAGGAAATATACTGCATTCACCATACCTAGTATAAACAATGAAACACCA GGGATTAGATATCAATATAATGTGCTCCCACAGGGGTGGAAAGGATCACCAGCAATATTCCAAAGTAGCA TGACAAAAATCTTAGAGCCCTTTAGAGCAAAAAATCCAGAAATAGCCATCTATCAATATATGGATGACTT GTATGTAGGATCTGACTTAGAAATAGGGCAACATAGAGCAAAAATAGAAGAATTAAGAGAGCATCTATTA AGGTGGGATTTACCACACCAGACAAGAAGCATCAGAAAGAACCCCCATTTCTTTGGATGGGGTATGAACT TCATCCTGACAAATGGACAGTACAGCCTATACAGCTGCCAGAAAAGGATAGCTGGACTGTCAATGATATA CAGAAGTTAGTGGGAAAATTAAACTGGGCAAGTCAGATTTATCCAGGGATTCAAGTAAAACAACTTTGTA GACTCCTTAGGGGGGCCAAAGCACTAACAGACATAGTACCACTAACTGAAGAAGCAGAATTAGAATTGGC AGAGAACAGGGAAATTCTAAAAGAACCAGTACATGGAGTATATTATGACCCATCAAAGGACTTGATAGCT GAAATACAGAAACAGGGGAATGACCAATGGACATATCAAATTTACCAAGAACCATTCAAAAATCTGAAGA CAGGAAAGTATGCAAAAATGAGGACTGCACACACTAATGATGTAAGACAGTTAACAGAGGCAGTGCAAAA AATAGCCCTGGAAAGCATAGTAATATGGGGAAAGACTCCTAAATTTAGACTGCCCATCCAAAAAGAAACA TGGGAGACATGGTGGACAGACTATTGGCAAGCCACCTGGATTCCTGAGTGGGAGTTTGTTAATACCCCTC CCCTAGTAAAATTATGGTATCAGCTAGAGAAAGAACCCATAGCAGAAGCAGAAACTTTCTATGTAGATGG AGCATCTAATAGAGAAACTAAAAAAGGAAAAGCGGGGTATGTTACTGACAGAGGAAGGCAGAAAATTATC ACTCTAAGTGAAACAACAAATCAGAAGGCTGAATTACAGGCAATTCAGCTGGCTTTGCAAGATTCAGGAT CTGAAGCAAACATAGTAACAGACTCACAGTATGCATTAGGAATCATTCAAGCACAACCAGATAAAAGTGA ATCAGAGTTAGTCAACCAAATAATAGAACAATTAATAAGAAAGGATAGGGTCTACCTGTCATGGGTACCA GCACACAAAGGTATTGGAGGAAATGAACAAGTAGATAAATTAGTAAGTAGTGGAATCAGGAAAGTACTGT TTCTAGATGGAATAGACAAGGCTCAAGAAGAGCATGAAAAGTATCACAACAATTGGAGAGCAATGGCTAG TGAATTTAATCTGCCACCCATAGTAGCAAAAGAAATAGTAGCTAGCTGTGACAAATGTCAGCTAAAAGGG GAAGCCATGCATGGACAAGTAGACTGTAGTCCGGGGATATGGCAATTAGACTGTACACATTTAGAAGGAA AAATCATCCTGGTAGCAGTCCATGTAGCCAGTGGCTACATAGAGGCAGAGGTTATTCCAGCAGAAACAGG ACAGGAAACAGCATACTACATACTAAAATTAGCAGGAAGATGGCCAGTCAAAGTAATACATACAGACAAT GGCAGTAATTTCACTAGTGCTGCAGTTAAGGCAGCCTGTTGGTGGGCAGGCATCCAACAGGAATTTGGGA TCCCCTACAATCCCCAAAGTCAGGGAGTAGTAGAATCCATGAATAAAGAATTAAAGAAAATCATAGGACA GGTAAGAGATCAAGCTGAGCACCTTAAGACAGCAGTACAAATGGCAGTATTCATTCACAATTTTAAAAGA AAAGGGGGGATTGGGGGGTACAGTGCAGGGGAAAGAATAATAGACATAATAGCAACAGACTTACAAACTA AAGAACTACAAAAACAAATTATAAAAATTCAAAATTTTCGGGTTTATTACAGAGACAGCAGAGACCCTAT TTGGAAAGGACCAGCCAAACTACTCTGGAAAGGTGAAGGGGCAGTAGTAATACAAGATAACAGTGACATA AAGGTAGTACCAAGGAGGAAAGCAAAAATCATTAGAGACTATGGAAAACAGATGGCAGGTGCTGATTGTG TGGCAGGTAGACAGGATGAGGATTAGAACATGGAATAGTTTAGTAAAACATCATATGTATATTTCAAAGA GAGCTAGTAGATGGGTCTACAGACATCATTATGAAAGTAGAAATCCAAGAATAAGTTCAGAAGTACACAT ACCATTAGGGGAGGCTAGATTGGTAATAAAAACATATTGGGGTTTGCATACAGGAGAAAGGGATTGGCAA TTGGGTCATGGAGTCTCCATAGAATGGAGATTGAGAAGATATAGCACACAAGTAGACCCTGGCCTGGCAG ACCAGCTAATTCATATGCATTATTTTGATTGTTTTGCAGACTCTGCCATAAGAAAAGCCATATTAGGACA AGTAGTTAGTCCTAGGTGTGATTATCAAGCAGGACATAATAAGGTAGGATCTCTACAATACTTGGCACTG ACAGCTTTGATAAAGCCAAAAAGGAGAAAGCCACCCCTGCCTAGTGTTAGAAAATTAGTAGAGGATCGAT GGAACAACCCCCAGAAGATCAGGGACCGCAGAGGGAACCATACAATGAATGGGCATTAGAGATTTTAGAG GAACTCAAGCAGGAAGCTGTCAGACACTTTCCTAGACCATGGCTCCATAATTTAGGACAGTATATCTATG CAACCTATGGGGATACCTGGACAGGAGTCGAAGCCCTACTAAGAATACTGCAACAACTACTGTTTATTCA TTTCAGAATTGGGTGCCAGCATAGCAGAATAGGAATCTTGCGACAGAGAAGAGCAAGAAATGGAGCCAGT AGATCCTAACTTAGAGCCCTGGAACCATCCAGGAAGCCAGCCTAGAACTCCTTGTAATAACTGCTATTGT AAATACTGTAGCTACCATTGTCTAGTTTGCTTTCAGGCAAAAGGCTTAGGCATTTCATATGGCAGGAAGA AGCGGAGACAGCGACGAAGCACTCCTCCAAGCAGTGAGGATCATCAAGATCCTATATCAAAGCAGTAAGT ATATGTAATGTCTTTTTTATATGCAAGTGTAGATTATAGATTAGGAGTAGGGGCACTGATAATAGCATTA ATCCTAGCAATAGTTGTGTGGATCATAGTATATATAGAATATAGGAAATTGCTAAGACAAAGAAAAATAA ACAAGTTAATTGACAGGATTAGAGACAGAGAAGAAGACAGTGGCAATGAGAGTGAGGGGGATATTGAGGA ATTGGCCACAATGGTGGATATGGGGCATCTTAGGCTTTTGGATGATAATAATTTGTAGGGGGGAGGAGAA CTCGTGGGTCACAGTTTATTATGGGGTACCTGTGTGGACAGAAGCAAAAACTACTCTATTCTGTGCATCA GATGCTAAAGCATATGAGAAAGAGGTACATAATGTTTGGGCTACACATGCCTGTGTACCCACAGACCCCA GCCCACAAGAACTAGTTTTGGAAAATGTAACAGAAAGTTTTAACATGTGGGAAAATGACATGGTGGATCA GATGCATGAGGATATAATCGGTTTATGGGATGAAAGCCTAAAGCCATGTGTAAAATTGACCCCACTCTGT GTCACTTTAAATTGCAATACTACTAGCCACAATAATAGCAGCCCCAGCCCCATGACAAATTGCTCTTTCA ATGCAACCACAGAATTAAGAGATAAGACACAGAAAGTGAATGCACTTTTTTATAGATCGGATATAGTACC ACTTGAGAAGAATAGCTCTGAGTATATATTAATAAATTGCAATACCTCAACCATAACACAAGCCTGTCCA AAGGTTTCTTTTGATCCGATTCCTATACATTATTGTGCTCCAGCTGGTTATGCGATTTTAAAGTGTAATA ATAAGACATTCAATGGAACAGGACCATGCAGTAATGTCAGCACAGTACAATGTACCCATGGAATTAAGCC AGTGGTATCAACTCAACTACTGTTAAATGGTAGCCTAGCAGAAGGGGAGATAATAATTAGATCTGAAAAT CTGACAGACAATGCCAAAACAATAATAGTACATCTTAATAAATCTGTAGCAATTGTGTGTACAAGACCCA ACAATAATACAAGGAAAAGTATAAGGATAGGACCAGGACAAGTATTCTATACAAATGAAATAATAGGAAA CATAAGACAAGCACATTGTAACATTAGTAGAGAGCTATGGAACAATACTTTAGAACAGGTAAAGAAGAAA TTGAAAGAACACTTTCAGAATAAAACAATAGAATTTCAACCACCCGCAGGAGGGGATCTAGAAGTTACAA CACATAGTTTTAATTGTAGAGGAGAATTTTTCTATTGCAATACATCAAATCTGTTTAATATAACTGCAAG TAATGCAAGTGATGCAAACAACAACACCATCACACTCCCATGCAAAATAAAACAAATTATAAACATGTGG CAGGAGGTAGGACGAGCAATGTATGCCCCTCCCATTGCAGGAAACATAACATGTAACTCAAGTATCACAG GACTACTATTGACACGTGATGGAGGCAATAACAATGACACAGGCAATAACAATGACACAGAGATATTCAG ACCTGGAGGAGGAAATATGAAGGACAATTGGAGAAGTGAGTTATATAAATATAAAGTGGTAGAAATTAAG CCATTAGGAATAGCACCCACTAAGGCAAAAAGGAGAGTGGTGGAGAGAGAGAAAAGAGCAGTGGGACTAG GAGCTGTACTCCTTGGGTTCTTAGGAACAGCAGGAAGCACTATGGGCGCGGCGTCAATAACGCTGACGGT ACAGGCCAGGCAACTGTTGTCTGGTATAGTGCAACAGCAAAGCAATTTGCTGAGGGCTATAGAGGCGCAA CAGCACATGTTGCAACTCACGGTCTGGGGCATTAAGCAGCTCCAGGCAAGAGTCCTGGCTATAGAAAGAT ACCTAAAGGATCAACAGCTCCTAGGGCTTTGGGGCTGCTCTGGAAAACTCATCTGCACCACTGCTGTGCA TTGGAACTCCAGTTGGAGTAATAAATCTCAAGACTATATTTGGGGTAACATGACATGGATGCAGTGGGAT AGAGAAATTAATAATTACACAGACATAATATACACATTGCTTGAAGAATCGCAAAGCCAGCAGGAGAAAA ATGAAAAAGATTTATTAGCATTGGACAGTTGGAACAATTTGTGGAATTGGTTTAGCATAACAAAGTGGCT GTGGTATATAAAAATATTCATCATGATAGTAGGAGGCCTGATAGGTTTAAGAATAATTTTGGGTGTGCTC TCTATAGTGAAAAGAGTTAGGCAGGGATACTCACCTTTGTCGTTTCAGACCCTCCCCCCAAACCCGAGGG GACCCGACAGGCTCAGAGGAATCGAAGAAGAAGGTGGAGAGCAAGACAAAGACAGATCCATTCGGTTAGT GAGCGGATTCTTAGCACTTGTCTGGGAAGACCTGCGGAGCCTGTGCCTCTTCAGCTACCACCGATTGAGA GACTTCATATTGATTGCAGGGAGAGCAGCGGAACTTCTGGGACGCAGCAGTCTCAGGGGACTACAGACAG GGTGGCAAGCCCTTAAGTATCTGGGAAGCCTTGTGCAGTATTGGGGTCTGGAACTAAAAAAGAGTGCTAT AAATCTATTTGATACCACAGCAATAGTAGTAGCTGAAGGAACAGATAGGCTTATTGAAGGCTTACAAGGA ATTGGTAGAGCTATCTACAACATACCCAGAAGAATAAGGCAGGGCTTTGAAGCAGCTTTGCTATAAAATG GGGGGCAAGTGGTCAAAAAGCAGCATAGTTGGATGGCCTGCTATAAGAGAAAGAATCAGACGAACTGAGC CAGCAGCAGAGGGAGTAGGAGCAGCATCTCAAGACTTAGATAAACATGGAGCACTAACAAGCAGCAACAC ACCCCAGAATAATGCTGCTTGTGCCTGGCTGCAAGCACAAGAGGAGGAAGACGAAGTAGGCTTTCCAGTC AGGCCTCAGGTGCTTTTGAGACCAATGACATATAAGGGAGCATTCGATCTTAGCTTCTTTTTAAAAGAAA AGGGGGGACTGGAAGGGTTAATTTGGTCTAAGAAAAGGCAAGAAATCCTTGATTTGTGGGTCTATAACAC ACAAGGCTACTTCCCTGATTGGCAAAACTACACACCGGGACCAGGGGTCAGGCTTCCACTGACCTTTGGA TGGTGCTTTAAGCTAGTGCCAGTTGACCCAAGGGAAGTAGAAGAGGAGAACAAAGGAGAAAACAACTGTT TGCTACACCCTATGAGCCAACATGGAATGGAGGATGAACACAGAGAAGTATTAAAGTGGGTGTTTGACAG CAGCCTAGCACGCAGACATCTGGCCCGTGAGAAACATCCGGAGTATTACAAAGACTGCTGACACAGAAGG GACTTTCCGCCTGGGACTTTCCACTGGGGCGTTCCAGGAGGAGGGGTCTGGGCGGGACTAGGGAGTGGCC AACCCTCAGATGCTGCATATAAGCAGCTGCTTTTTGCCTGTACTGGGTCTCTCTAGGTAGACCAGATCTG AGCCTGGGAGCTCTCTGGCTACTTGGGGAACCCACTGCTTAAGCCTCAATA ================================================ FILE: tests/input/TestOrderAndOrient/ref.influenza.fasta ================================================ >gi|8486138|ref|NC_002023.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 1, complete sequence AGCGAAAGCAGGTCAATTATATTCAATATGGAAAGAATAAAAGAACTAAGAAATCTAATGTCGCAGTCTC GCACCCGCGAGATACTCACAAAAACCACCGTGGACCATATGGCCATAATCAAGAAGTACACATCAGGAAG ACAGGAGAAGAACCCAGCACTTAGGATGAAATGGATGATGGCAATGAAATATCCAATTACAGCAGACAAG AGGATAACGGAAATGATTCCTGAGAGAAATGAGCAAGGACAAACTTTATGGAGTAAAATGAATGATGCCG GATCAGACCGAGTGATGGTATCACCTCTGGCTGTGACATGGTGGAATAGGAATGGACCAATGACAAATAC AGTTCATTATCCAAAAATCTACAAAACTTATTTTGAAAGAGTCGAAAGGCTAAAGCATGGAACCTTTGGC CCTGTCCATTTTAGAAACCAAGTCAAAATACGTCGGAGAGTTGACATAAATCCTGGTCATGCAGATCTCA GTGCCAAGGAGGCACAGGATGTAATCATGGAAGTTGTTTTCCCTAACGAAGTGGGAGCCAGGATACTAAC ATCGGAATCGCAACTAACGATAACCAAAGAGAAGAAAGAAGAACTCCAGGATTGCAAAATTTCTCCTTTG ATGGTTGCATACATGTTGGAGAGAGAACTGGTCCGCAAAACGAGATTCCTCCCAGTGGCTGGTGGAACAA GCAGTGTGTACATTGAAGTGTTGCATTTGACTCAAGGAACATGCTGGGAACAGATGTATACTCCAGGAGG GGAAGTGAAGAATGATGATGTTGATCAAAGCTTGATTATTGCTGCTAGGAACATAGTGAGAAGAGCTGCA GTATCAGCAGACCCACTAGCATCTTTATTGGAGATGTGCCACAGCACACAGATTGGTGGAATTAGGATGG TAGACATCCTTAAGCAGAACCCAACAGAAGAGCAAGCCGTGGGTATATGCAAGGCTGCAATGGGACTGAG AATTAGCTCATCCTTCAGTTTTGGTGGATTCACATTTAAGAGAACAAGCGGATCATCAGTCAAGAGAGAG GAAGAGGTGCTTACGGGCAATCTTCAAACATTGAAGATAAGAGTGCATGAGGGATATGAAGAGTTCACAA TGGTTGGGAGAAGAGCAACAGCCATACTCAGAAAAGCAACCAGGAGATTGATTCAGCTGATAGTGAGTGG GAGAGACGAACAGTCGATTGCCGAAGCAATAATTGTGGCCATGGTATTTTCACAAGAGGATTGTATGATA AAAGCAGTTAGAGGTGATCTGAATTTCGTCAATAGGGCGAATCAGCGACTGAATCCTATGCATCAACTTT TAAGACATTTTCAGAAGGATGCGAAAGTGCTTTTTCAAAATTGGGGAGTTGAACCTATCGACAATGTGAT GGGAATGATTGGGATATTGCCCGACATGACTCCAAGCATCGAGATGTCAATGAGAGGAGTGAGAATCAGC AAAATGGGTGTAGATGAGTACTCCAGCACGGAGAGGGTAGTGGTGAGCATTGACCGGTTCTTGAGAGTCC GGGACCAACGAGGAAATGTACTACTGTCTCCCGAGGAGGTCAGTGAAACACAGGGAACAGAGAAACTGAC AATAACTTACTCATCGTCAATGATGTGGGAGATTAATGGTCCTGAATCAGTGTTGGTCAATACCTATCAA TGGATCATCAGAAACTGGGAAACTGTTAAAATTCAGTGGTCCCAGAACCCTACAATGCTATACAATAAAA TGGAATTTGAACCATTTCAGTCTTTAGTACCTAAGGCCATTAGAGGCCAATACAGTGGGTTTGTGAGAAC TCTGTTCCAACAAATGAGGGATGTGCTTGGGACATTTGATACCGCACAGATAATAAAACTTCTTCCCTTC GCAGCCGCTCCACCAAAGCAAAGTAGAATGCAGTTCTCCTCATTTACTGTGAATGTGAGGGGATCAGGAA TGAGAATACTTGTAAGGGGCAATTCTCCTGTATTCAACTACAACAAGGCCACGAAGAGACTCACAGTTCT CGGAAAGGATGCTGGCACTTTAACCGAAGACCCAGATGAAGGCACAGCTGGAGTGGAGTCCGCTGTTCTG AGGGGATTCCTCATTCTGGGCAAAGAAGACAGGAGATATGGGCCAGCATTAAGCATCAATGAACTGAGCA ACCTTGCGAAAGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTGGTGTTGGTAATGAAACGAAA ACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACCAAAAGAATTCGGATGGCCATCAATTAGTGT CGAATAGTTTAAAAACGACCTTGTTTCTACT >gi|8486134|ref|NC_002021.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 2, complete sequence AGCGAAAGCAGGCAAACCATTTGAATGGATGTCAATCCGACCTTACTTTTCTTAAAAGTGCCAGCACAAA ATGCTATAAGCACAACTTTCCCTTATACCGGAGACCCTCCTTACAGCCATGGGACAGGAACAGGATACAC CATGGATACTGTCAACAGGACACATCAGTACTCAGAAAAGGCAAGATGGACAACAAACACCGAAACTGGA GCACCGCAACTCAACCCGATTGATGGGCCACTGCCAGAAGACAATGAACCAAGTGGTTATGCCCAAACAG ATTGTGTATTGGAAGCAATGGCTTTCCTTGAGGAATCCCATCCTGGTATTTTTGAAAACTCGTGTATTGA AACGATGGAGGTTGTTCAGCAAACACGAGTAGACAAGCTGACACAAGGCCGACAGACCTATGACTGGACT TTAAATAGAAACCAGCCTGCTGCAACAGCATTGGCCAACACAATAGAAGTGTTCAGATCAAATGGCCTCA CGGCCAATGAGTCTGGAAGGCTCATAGACTTCCTTAAGGATGTAATGGAGTCAATGAAAAAAGAAGAAAT GGGGATCACAACTCATTTTCAGAGAAAGAGACGGGTGAGAGACAATATGACTAAGAAAATGATAACACAG AGAACAATAGGTAAAAGGAAACAGAGATTGAACAAAAGGAGTTATCTAATTAGAGCATTGACCCTGAACA CAATGACCAAAGATGCTGAGAGAGGGAAGCTAAAACGGAGAGCAATTGCAACCCCAGGGATGCAAATAAG GGGGTTTGTATACTTTGTTGAGACACTGGCAAGGAGTATATGTGAGAAACTTGAACAATCAGGGTTGCCA GTTGGAGGCAATGAGAAGAAAGCAAAGTTGGCAAATGTTGTAAGGAAGATGATGACCAATTCTCAGGACA CCGAACTTTCTTTGACCATCACTGGAGATAACACCAAATGGAACGAAAATCAGAATCCTCGGATGTTTTT GGCCATGATCACATATATGACCAGAAATCAGCCCGAATGGTTCAGAAATGTTCTAAGTATTGCTCCAATA ATGTTCTCAAACAAAATGGCGAGACTGGGAAAAGGGTATATGTTTGAGAGCAAGAGTATGAAACTTAGAA CTCAAATACCTGCAGAAATGCTAGCAAGCATTGATTTGAAATATTTCAATGATTCAACAAGAAAGAAGAT TGAAAAAATCCGACCGCTCTTAATAGAGGGGACTGCATCATTGAGCCCTGGAATGATGATGGGCATGTTC AATATGTTAAGCACTGTATTAGGCGTCTCCATCCTGAATCTTGGACAAAAGAGATACACCAAGACTACTT ACTGGTGGGATGGTCTTCAATCCTCTGACGATTTTGCTCTGATTGTGAATGCACCCAATCATGAAGGGAT TCAAGCCGGAGTCGACAGGTTTTATCGAACCTGTAAGCTACATGGAATCAATATGAGCAAGAAAAAGTCT TACATAAACAGAACAGGTACATTTGAATTCACAAGTTTTTTCTATCGTTATGGGTTTGTTGCCAATTTCA GCATGGAGCTTCCCAGTTTTGGTGTGTCTGGGAGCAACGAGTCAGCGGACATGAGTATTGGAGTTACTGT CATCAAAAACAATATGATAAACAATGATCTTGGTCCAGCAACAGCTCAAATGGCCCTTCAGTTGTTCATC AAAGATTACAGGTACACGTACCGATGCCATAGAGGTGACACACAAATACAAACCCGAAGATCATTTGAAA TAAAGAAACTGTGGGAGCAAACCCGTTCCAAAGCTGGACTGCTGGTCTCCGACGGAGGCCCAAATTTATA CAACATTAGAAATCTCCACATTCCTGAAGTCTGCCTAAAATGGGAATTGATGGATGAGGATTACCAGGGG CGTTTATGCAACCCACTGAACCCATTTGTCAGCCATAAAGAAATTGAATCAATGAACAATGCAGTGATGA TGCCAGCACATGGTCCAGCCAAAAACATGGAGTATGATGCTGTTGCAACAACACACTCCTGGATCCCCAA AAGAAATCGATCCATCTTGAATACAAGTCAAAGAGGAGTACTTGAAGATGAACAAATGTACCAAAGGTGC TGCAATTTATTTGAAAAATTCTTCCCCAGCAGTTCATACAGAAGACCAGTCGGGATATCCAGTATGGTGG AGGCTATGGTTTCCAGAGCCCGAATTGATGCACGGATTGATTTCGAATCTGGAAGGATAAAGAAAGAAGA GTTCACTGAGATCATGAAGATCTGTTCCACCATTGAAGAGCTCAGACGGCAAAAATAGTGAATTTAGCTT GTCCTTCATGAAAAAATGCCTTGTTCCTACT >gi|8486136|ref|NC_002022.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 3, complete sequence AGCGAAAGCAGGTACTGATCCAAAATGGAAGATTTTGTGCGACAATGCTTCAATCCGATGATTGTCGAGC TTGCGGAAAAAACAATGAAAGAGTATGGGGAGGACCTGAAAATCGAAACAAACAAATTTGCAGCAATATG CACTCACTTGGAAGTATGCTTCATGTATTCAGATTTCCACTTCATCAATGAGCAAGGCGAGTCAATAATC GTAGAACTTGGTGATCCTAATGCACTTTTGAAGCACAGATTTGAAATAATCGAGGGAAGAGATCGCACAA TGGCCTGGACAGTAGTAAACAGTATTTGCAACACTACAGGGGCTGAGAAACCAAAGTTTCTACCAGATTT GTATGATTACAAGGAAAATAGATTCATCGAAATTGGAGTAACAAGGAGAGAAGTTCACATATACTATCTG GAAAAGGCCAATAAAATTAAATCTGAGAAAACACACATCCACATTTTCTCGTTCACTGGGGAAGAAATGG CCACAAAGGCCGACTACACTCTCGATGAAGAAAGCAGGGCTAGGATCAAAACCAGGCTATTCACCATAAG ACAAGAAATGGCCAGCAGAGGCCTCTGGGATTCCTTTCGTCAGTCCGAGAGAGGAGAAGAGACAATTGAA GAAAGGTTTGAAATCACAGGAACAATGCGCAAGCTTGCCGACCAAAGTCTCCCGCCGAACTTCTCCAGCC TTGAAAATTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTACATTGAGGGCAAGCTGTCTCAAAT GTCCAAAGAAGTAAATGCTAGAATTGAACCTTTTTTGAAAACAACACCACGACCACTTAGACTTCCGAAT GGGCCTCCCTGTTCTCAGCGGTCCAAATTCCTGCTGATGGATGCCTTAAAATTAAGCATTGAGGACCCAA GTCATGAAGGAGAGGGAATACCGCTATATGATGCAATCAAATGCATGAGAACATTCTTTGGATGGAAGGA ACCCAATGTTGTTAAACCACACGAAAAGGGAATAAATCCAAATTATCTTCTGTCATGGAAGCAAGTACTG GCAGAACTGCAGGACATTGAGAATGAGGAGAAAATTCCAAAGACTAAAAATATGAAAAAAACAAGTCAGC TAAAGTGGGCACTTGGTGAGAACATGGCACCAGAAAAGGTAGACTTTGACGACTGTAAAGATGTAGGTGA TTTGAAGCAATATGATAGTGATGAACCAGAATTGAGGTCGCTTGCAAGTTGGATTCAGAATGAGTTCAAC AAGGCATGCGAACTGACAGATTCAAGCTGGATAGAGCTTGATGAGATTGGAGAAGATGTGGCTCCAATTG AACACATTGCAAGCATGAGAAGGAATTATTTCACATCAGAGGTGTCTCACTGCAGAGCCACAGAATACAT AATGAAGGGGGTGTACATCAATACTGCCTTACTTAATGCATCTTGTGCAGCAATGGATGATTTCCAATTA ATTCCAATGATAAGCAAGTGTAGAACTAAGGAGGGAAGGCGAAAGACCAACTTGTATGGTTTCATCATAA AAGGAAGATCCCACTTAAGGAATGACACCGACGTGGTAAACTTTGTGAGCATGGAGTTTTCTCTCACTGA CCCAAGACTTGAACCACACAAATGGGAGAAGTACTGTGTTCTTGAGATAGGAGATATGCTTCTAAGAAGT GCCATAGGCCAGGTTTCAAGGCCCATGTTCTTGTATGTGAGGACAAATGGAACCTCAAAAATTAAAATGA AATGGGGAATGGAGATGAGGCGTTGTCTCCTCCAGTCACTTCAACAAATTGAGAGTATGATTGAAGCTGA GTCCTCTGTCAAAGAGAAAGACATGACCAAAGAGTTCTTTGAGAACAAATCAGAAACATGGCCCATTGGA GAGTCTCCCAAAGGAGTGGAGGAAAGTTCCATTGGGAAGGTCTGCAGGACTTTATTAGCAAAGTCGGTAT TTAACAGCTTGTATGCATCTCCACAACTAGAAGGATTTTCAGCTGAATCAAGAAAACTGCTTCTTATCGT TCAGGCTCTTAGGGACAATCTGGAACCTGGGACCTTTGATCTTGGGGGGCTATATGAAGCAATTGAGGAG TGCCTAATTAATGATCCCTGGGTTTTGCTTAATGCTTCTTGGTTCAACTCCTTCCTTACACATGCATTGA GTTAGTTGTGGCAGTGCTACTATTTGCTATCCATACTGTCCAAAAAAGTACCTTGTTTCTACT >gi|8486125|ref|NC_002017.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 4, complete sequence AGCAAAAGCAGGGGAAAATAAAAACAACCAAAATGAAGGCAAACCTACTGGTCCTGTTATGTGCACTTGC AGCTGCAGATGCAGACACAATATGTATAGGCTACCATGCGAACAATTCAACCGACACTGTTGACACAGTG CTCGAGAAGAATGTGACAGTGACACACTCTGTTAACCTGCTCGAAGACAGCCACAACGGAAAACTATGTA GATTAAAAGGAATAGCCCCACTACAATTGGGGAAATGTAACATCGCCGGATGGCTCTTGGGAAACCCAGA ATGCGACCCACTGCTTCCAGTGAGATCATGGTCCTACATTGTAGAAACACCAAACTCTGAGAATGGAATA TGTTATCCAGGAGATTTCATCGACTATGAGGAGCTGAGGGAGCAATTGAGCTCAGTGTCATCATTCGAAA GATTCGAAATATTTCCCAAAGAAAGCTCATGGCCCAACCACAACACAACCAAAGGAGTAACGGCAGCATG CTCCCATGCGGGGAAAAGCAGTTTTTACAGAAATTTGCTATGGCTGACGGAGAAGGAGGGCTCATACCCA AAGCTGAAAAATTCTTATGTGAACAAGAAAGGGAAAGAAGTCCTTGTACTGTGGGGTATTCATCACCCGT CTAACAGTAAGGATCAACAGAATATCTATCAGAATGAAAATGCTTATGTCTCTGTAGTGACTTCAAATTA TAACAGGAGATTTACCCCGGAAATAGCAGAAAGACCCAAAGTAAGAGATCAAGCTGGGAGGATGAACTAT TACTGGACCTTGCTAAAACCCGGAGACACAATAATATTTGAGGCAAATGGAAATCTAATAGCACCAAGGT ATGCTTTCGCACTGAGTAGAGGCTTTGGGTCCGGCATCATCACCTCAAACGCATCAATGCATGAGTGTAA CACGAAGTGTCAAACACCCCTGGGAGCTATAAACAGCAGTCTCCCTTTCCAGAATATACACCCAGTCACA ATAGGAGAGTGCCCAAAATACGTCAGGAGTGCCAAATTGAGGATGGTTACAGGACTAAGGAACATTCCGT CCATTCAATCCAGAGGTCTATTTGGAGCCATTGCCGGTTTTATTGAAGGGGGATGGACTGGAATGATAGA TGGATGGTACGGTTATCATCATCAGAATGAACAGGGATCAGGCTATGCAGCGGATCAAAAAAGCACACAA AATGCCATTAACGGGATTACAAACAAGGTGAACTCTGTTATCGAGAAAATGAACATTCAATTCACAGCTG TGGGTAAAGAATTCAACAAATTAGAAAAAAGGATGGAAAATTTAAATAAAAAAGTTGATGATGGATTTCT GGACATTTGGACATATAATGCAGAATTGTTAGTTCTACTGGAAAATGAAAGGACTCTGGATTTCCATGAC TCAAATGTGAAGAATCTGTATGAGAAAGTAAAAAGCCAATTAAAGAATAATGCCAAAGAAATCGGAAATG GATGTTTTGAGTTCTACCACAAGTGTGACAATGAATGCATGGAAAGTGTAAGAAATGGGACTTATGATTA TCCCAAATATTCAGAAGAGTCAAAGTTGAACAGGGAAAAGGTAGATGGAGTGAAATTGGAATCAATGGGG ATCTATCAGATTCTGGCGATCTACTCAACTGTCGCCAGTTCACTGGTGCTTTTGGTCTCCCTGGGGGCAA TCAGTTTCTGGATGTGTTCTAATGGATCTTTGCAGTGCAGAATATGCATCTGAGATTAGAATTTCAGAAA TATGAGGAAAAACACCCTTGTTTCTACT >gi|8486129|ref|NC_002019.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 5, complete sequence AGCAAAAGCAGGGTAGATAATCACTCACTGAGTGACATCAAAATCATGGCGTCCCAAGGCACCAAACGGT CTTACGAACAGATGGAGACTGATGGAGAACGCCAGAATGCCACTGAAATCAGAGCATCCGTCGGAAAAAT GATTGGTGGAATTGGACGATTCTACATCCAAATGTGCACAGAACTTAAACTCAGTGATTATGAGGGACGG TTGATCCAAAACAGCTTAACAATAGAGAGAATGGTGCTCTCTGCTTTTGACGAAAGGAGAAATAAATACC TGGAAGAACATCCCAGTGCGGGGAAGGATCCTAAGAAAACTGGAGGACCTATATACAGAAGAGTAAACGG AAAGTGGATGAGAGAACTCATCCTTTATGACAAAGAAGAAATAAGGCGAATCTGGCGCCAAGCTAATAAT GGTGACGATGCAACGGCTGGTCTGACTCACATGATGATCTGGCATTCCAATTTGAATGATGCAACTTATC AGAGGACAAGGGCTCTTGTTCGCACCGGAATGGATCCCAGGATGTGCTCTCTGATGCAAGGTTCAACTCT CCCTAGGAGGTCTGGAGCCGCAGGTGCTGCAGTCAAAGGAGTTGGAACAATGGTGATGGAATTGGTCAGG ATGATCAAACGTGGGATCAATGATCGGAACTTCTGGAGGGGTGAGAATGGACGAAAAACAAGAATTGCTT ATGAAAGAATGTGCAACATTCTCAAAGGGAAATTTCAAACTGCTGCACAAAAAGCAATGATGGATCAAGT GAGAGAGAGCCGGGACCCAGGGAATGCTGAGTTCGAAGATCTCACTTTTCTAGCACGGTCTGCACTCATA TTGAGAGGGTCGGTTGCTCACAAGTCCTGCCTGCCTGCCTGTGTGTATGGACCTGCCGTAGCCAGTGGGT ACGACTTTGAAAGAGAGGGATACTCTCTAGTCGGAATAGACCCTTTCAGACTGCTTCAAAACAGCCAAGT GTACAGCCTAATCAGACCAAATGAGAATCCAGCACACAAGAGTCAACTGGTGTGGATGGCATGCCATTCT GCCGCATTTGAAGATCTAAGAGTATTGAGCTTCATCAAAGGGACGAAGGTGGTCCCAAGAGGGAAGCTTT CCACTAGAGGAGTTCAAATTGCTTCCAATGAAAATATGGAGACTATGGAATCAAGTACACTTGAACTGAG AAGCAGGTACTGGGCCATAAGGACCAGAAGTGGAGGAAACACCAATCAACAGAGGGCATCTGCGGGCCAA ATCAGCATACAACCTACGTTCTCAGTACAGAGAAATCTCCCTTTTGACAGAACAACCGTTATGGCAGCAT TCACTGGGAATACAGAGGGGAGAACATCTGACATGAGGACCGAAATCATAAGGATGATGGAAAGTGCAAG ACCAGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAGCTCTCGGACGAAAAGGCAGCGAGCCCGATC GTGCCTTCCTTTGACATGAGTAATGAAGGATCTTATTTCTTCGGAGACAATGCAGAGGAGTACGACAATT AAAGAAAAATACCCTTGTTTCTACT >gi|8486127|ref|NC_002018.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 6, complete sequence AGCGAAAGCAGGGGTTTAAAATGAATCCAAATCAGAAAATAATAACCATTGGATCAATCTGTCTGGTAGT CGGACTAATTAGCCTAATATTGCAAATAGGGAATATAATCTCAATATGGATTAGCCATTCAATTCAAACT GGAAGTCAAAACCATACTGGAATATGCAACCAAAACATCATTACCTATAAAAATAGCACCTGGGTAAAGG ACACAACTTCAGTGATATTAACCGGCAATTCATCTCTTTGTCCCATCCGTGGGTGGGCTATATACAGCAA AGACAATAGCATAAGAATTGGTTCCAAAGGAGACGTTTTTGTCATAAGAGAGCCCTTTATTTCATGTTCT CACTTGGAATGCAGGACCTTTTTTCTGACCCAAGGTGCCTTACTGAATGACAGGCATTCAAATGGGACTG TTAAGGACAGAAGCCCTTATAGGGCCTTAATGAGCTGCCCTGTCGGTGAAGCTCCGTCCCCGTACAATTC AAGATTTGAATCGGTTGCTTGGTCAGCAAGTGCATGTCATGATGGCATGGGCTGGCTAACAATCGGAATT TCAGGTCCAGATAATGGAGCAGTGGCTGTATTAAAATACAACGGCATAATAACTGAAACCATAAAAAGTT GGAGGAAGAAAATATTGAGGACACAAGAGTCTGAATGTGCCTGTGTAAATGGTTCATGTTTTACTATAAT GACTGATGGCCCGAGTGATGGGCTGGCCTCGTACAAAATTTTCAAGATCGAAAAGGGGAAGGTTACTAAA TCAATAGAGTTGAATGCACCTAATTCTCACTATGAGGAATGTTCCTGTTACCCTGATACCGGCAAAGTGA TGTGTGTGTGCAGAGACAATTGGCATGGTTCGAACCGGCCATGGGTGTCTTTCGATCAAAACCTGGATTA TCAAATAGGATACATCTGCAGTGGGGTTTTCGGTGACAACCCGCGTCCCAAAGATGGAACAGGCAGCTGT GGTCCAGTGTATGTTGATGGAGCAAACGGAGTAAAGGGATTTTCATATAGGTATGGTAATGGTGTTTGGA TAGGAAGGACCAAAAGTCACAGTTCCAGACATGGGTTTGAGATGATTTGGGATCCTAATGGATGGACAGA GACTGATAGTAAGTTCTCTGTGAGGCAAGATGTTGTGGCAATGACTGATTGGTCAGGGTATAGCGGGAGT TTCGTTCAACATCCTGAGCTAACAGGGCTAGACTGTATAAGGCCGTGCTTCTGGGTTGAATTAATCAGGG GACGACCTAAAGAAAAAACAATCTGGACTAGTGCGAGCAGCATTTCTTTTTGTGGCGTGAATAGTGATAC TGTAGATTGGTCTTGGCCAGACGGTGCTGAGTTGCCATTCACCATTGACAAGTAGTCTGTTCAAAAAACT CCTTGTTTCTACT >gi|8486122|ref|NC_002016.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 7, complete sequence AGCGAAAGCAGGTAGATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCTCTCTATCATC CCGTCAGGCCCCCTCAAAGCCGAGATCGCACAGAGACTTGAAGATGTCTTTGCAGGGAAGAACACCGATC TTGAGGTTCTCATGGAATGGCTAAAGACAAGACCAATCCTGTCACCTCTGACTAAGGGGATTTTAGGATT TGTGTTCACGCTCACCGTGCCCAGTGAGCGAGGACTGCAGCGTAGACGCTTTGTCCAAAATGCCCTTAAT GGGAACGGGGATCCAAATAACATGGACAAAGCAGTTAAACTGTATAGGAAGCTCAAGAGGGAGATAACAT TCCATGGGGCCAAAGAAATCTCACTCAGTTATTCTGCTGGTGCACTTGCCAGTTGTATGGGCCTCATATA CAACAGGATGGGGGCTGTGACCACTGAAGTGGCATTTGGCCTGGTATGTGCAACCTGTGAACAGATTGCT GACTCCCAGCATCGGTCTCATAGGCAAATGGTGACAACAACCAACCCACTAATCAGACATGAGAACAGAA TGGTTTTAGCCAGCACTACAGCTAAGGCTATGGAGCAAATGGCTGGATCGAGTGAGCAAGCAGCAGAGGC CATGGAGGTTGCTAGTCAGGCTAGGCAAATGGTGCAAGCGATGAGAACCATTGGGACTCATCCTAGCTCC AGTGCTGGTCTGAAAAATGATCTTCTTGAAAATTTGCAGGCCTATCAGAAACGAATGGGGGTGCAGATGC AACGGTTCAAGTGATCCTCTCGCTATTGCCGCAAATATCATTGGGATCTTGCACTTGATATTGTGGATTC TTGATCGTCTTTTTTTCAAATGCATTTACCGTCGCTTTAAATACGGACTGAAAGGAGGGCCTTCTACGGA AGGAGTGCCAAAGTCTATGAGGGAAGAATATCGAAAGGAACAGCAGAGTGCTGTGGATGCTGACGATGGT CATTTTGTCAGCATAGAGCTGGAGTAAAAAACTACCTTGTTTCTACT >gi|8486131|ref|NC_002020.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 8, complete sequence AGCAAAAGCAGGGTGACAAAGACATAATGGATCCAAACACTGTGTCAAGCTTTCAGGTAGATTGCTTTCT TTGGCATGTCCGCAAACGAGTTGCAGACCAAGAACTAGGTGATGCCCCATTCCTTGATCGGCTTCGCCGA GATCAGAAATCCCTAAGAGGAAGGGGCAGCACTCTTGGTCTGGACATCGAGACAGCCACACGTGCTGGAA AGCAGATAGTGGAGCGGATTCTGAAAGAAGAATCCGATGAGGCACTTAAAATGACCATGGCCTCTGTACC TGCGTCGCGTTACCTAACCGACATGACTCTTGAGGAAATGTCAAGGGAATGGTCCATGCTCATACCCAAG CAGAAAGTGGCAGGCCCTCTTTGTATCAGAATGGACCAGGCGATCATGGATAAAAACATCATACTGAAAG CGAACTTCAGTGTGATTTTTGACCGGCTGGAGACTCTAATATTGCTAAGGGCTTTCACCGAAGAGGGAGC AATTGTTGGCGAAATTTCACCATTGCCTTCTCTTCCAGGACATACTGCTGAGGATGTCAAAAATGCAGTT GGAGTCCTCATCGGAGGACTTGAATGGAATGATAACACAGTTCGAGTCTCTGAAACTCTACAGAGATTCG CTTGGAGAAGCAGTAATGAGAATGGGAGACCTCCACTCACTCCAAAACAGAAACGAGAAATGGCGGGAAC AATTAGGTCAGAAGTTTGAAGAAATAAGATGGTTGATTGAAGAAGTGAGACACAAACTGAAGGTAACAGA GAATAGTTTTGAGCAAATAACATTTATGCAAGCCTTACATCTATTGCTTGAAGTGGAGCAAGAGATAAGA ACTTTCTCATTTCAGCTTATTTAATAATAAAAAACACCCTTGTTTCTACT ================================================ FILE: tests/input/TestOrderAndOrient/ref.lasv.BNI_Nig08_A19.fasta ================================================ >GU481072 Lassa virus strain Nig08-A19 glycoprotein precursor (GPC) and nucleoprotein (NP) genes, complete cds ATTTAGGATTGCGCATTTTTGGAAACCTTATTGGAAATTCATATAATCAGGATGGGACAAATTGTGACATTCTTCCAGGA AGTCCCTCATGTTATCGAGGAAGTGATGAATATCGTCCTCATAGCATTGTCAATTTTGGCAATCCTAAAAGGACTCTACA ACATTGCTACATGTGGCTTGATAGGCCTTGTCACATTCCTCTTACTTTCTGGAAGGTCATGTTCAATGACCTACAAAGGA GTTTATGAACTACAGACCCTTGAACTGAACATGAACACTCTGAATATGACTATGCCGCTATCTTGTACAAAGAACAATAG TCACCACTACATCATGGTGGGAAACGAGACAGGGCTTGAGCTCACCTTAACCAACACAAGCTTGCTCCATCACAAATTCT GCAACCTATCAGATGCTCATAAGAAAAATCTTTATGATCACACTCTCATGAGCATTATCTCCACATTCCATTTGTCCATT CCTAACTTTAATCAGTATGAGGCAATGAGTTGTGATTTTAATGGTGGCAAGATCACTGTGCAATACAATCTGAGTCATAG CTATGCAATTGATGCAGCAAACCATTGTGGCACAGTGGCAAACGGTGTGTTGCAAACATTTATGAGGATGGCTTGGGGAG GTAGTTACATTGCCCTTGATTCCGGACGTGGGAAATGGGATTGTATAATGACCAGTTATCAATACTTAATCATCCAGAAC ACAACCTGGGAAGATCATTGTCAATTTTCCAGACCATCCCCAATTGGATATCTTGGGCTCCTCTCACAGAGAACTAGAGA CATATACATTAGTAGAAGACTACTAGGAACATTTACTTGGACACTTTCTGACTCAGAAGGAAATGAGACACCAGGAGGTT ACTGTCTCACTAGATGGATGTTGATTGAGGCTGAACTAAAGTGTTTCGGGAATACAGCTGTAGCTAAGTGCAATGAAAAA CACGATGAAGAGTTTTGTGACATGCTAAGGCTATTTGACTTCAATAAGCAAGCTATAAGGAGGTTAAAGGCAGAGGCCCA AATGAGCATACAGCTGATCAACAAAGCAGTTAATGCTCTAATAAACGATCAGCTGATCATGAAGAATCATCTAAGGGACA TCATGGGAATACCATACTGCAATTACAGCAAGTACTGGTATCTCAATCACACCTCAACAGGGAGGACCTCATTACCGAGA TGTTGGCTTGTTTCAAATGGGTCATATCTCAATGAAACTCACTTTTCAGATGACATTGAGCAGCAAGCTGATAACATGAT AACTGAAATGTTGCAAAAAGAATACCTGGACAGACAAGGAAAGACCCCATTGGGATTGGTAGATCTTTTTGTCTTCAGTA CAAGTTTTTACTTAATCAGTATTTTCCTCCATCTGGTCAAAATACCAACCCATAGACACATTGTAGGGAAGCCTTGCCCC AAACCTCATAGGTTGAACCACATGGGCATCTGCTCTTGTGGTCTATATAAACAGCCAGGAGTACCCGTTAGATGGAAGAG ATAAAGATCCCACAGGGCCCCCGTGACCCACCGCCAATTGGCGGTGGGTCACGGGGGCATCCGTTTACAGGACGACTTTG GGTGTCGAAGTTCTGAACACCATATCTCTGGGGAGCACAGCCCTCAGGACCTTTGCATCAACTCCTCCTGAGACTGCAGC ATCAAACATGATGCAGTCCATTAATGCACAATGAGGTGTTATTTCCTCCTTGCCTCCCCTCTTTTTCTTCTCCACAACAA TCCCGGTGTGCATGTGACATAAATCCTTGAATTGATCCCACACAGCATTCTCAAATTTTCTTGAGTCCACCTTACTAAGG GAAATGTCAATCAGTTTTATATCCCTCCTCCCCTGTGACTCCAGAAGTTTTCTGATGTCTTCTGACCCTTGACAGGTGAT GACCATGTTTCTAGGAAGAGCCTCTATCACTGCACTTGTTAACCCTGGCTGTGCAGCAAACAAATCTGTCACATCAATAC CATGTGAATATTTTGCATCCTGTTTAAACTGCTTTAAGTCTGTCGGTTCCCTGAAGAAGTGTATATAGCAGCCTGAACTT GGTTGATACAGAGCTATTTCAACTGGATCTTCTGGTCTTCCCTCAATATCCATCCAAGTCTTTGCATTTGGGTCAAGCTG AAGCATTGAATCCTTTAAGGTCATCAGTTGAGAATAAGTCAGTCCTGCAGCAAACCCTGCAGATTGCAATGACTTATTTG AACCCCCATTGCCGGTCTTTTGCGGTTTGTTGTCTGACTCTAAGTCAACCACGGTGTTCTCCCAAGCTCTTCCCACAATT GAAGTCCTTGATGCAATGTAAGGCCACCCATCTCCTGAGAGGCAGATTTTGTACAGTATGTTTTCATAAGGGTTCCTTTC ACCTGGCGTATCTGAGATGAACATTCCCAGGCTTCTCTTGACTTTCAAGATTGACTTCAAGATGCCATCCATGGTTTGAG GTGAGACCTTTATAGTCTCTAGCATATTGCCTCCATCAAGCATGCAGGCCCCAGCCTTGACGGCGGCTCCTAAACTAAAA TTGTAACCAGAGATGTTAAGGGAGCTCTTCTTAGTATCAATCATGTTCAATATCGGATGGCTCTGGGCCAGCCTGTCCAA ATCAGATGAATTAGGGTATTTTGCGGTGTAAATCAATCCCAAATCTGTCAAAGCCTGAACAGCATCATTCAAATCCACTT GCCCTTGTTTGGTCAAACATGCTAGAGTTAGACTTGGCATTGTCCCAAACTGATTGTTAAGCAGCTCTGCATTCTTGACG TCCCAAACTCTCACAATACCATCACTAGTGGTATTCCTTCCCCCATTCCCACCAGTCATGCCAATCATGTTGAGGAGGGC CTTCCTCTGATCAAGCTGCTGTGAACTTAGATTCCCCATATAAATTCCTGAGCTCAGGGGTCTTTCTGTCCTAACAACCT TTGACTTCAGTTTTTCCAGGTCAGCAGCCAAAACCAATAGATCGTCTGAACTTAGGGTTCCAACCCTCAGCACACTCTTT TGTTGAGTTGACTTTAGTTCAACAAGGTTGTTGACTGCTTGATTGAGGTCTCTTAGCCGTTTAAGATCACCATCGTCCCT TTTTTGTTTGCGCATCAAGCGTTGAACATTACTGACCTCAGAGAAGTCCAAACCATGAAGGAGAGCTTGAGCATCCTTTA CCACCTGGAGTTTTATATTGGAGCAATAGCCAGATAACTCTCTTCTCAGAGACTGAGTCCACAGGAATGATTTCACTTCT TTGGAAGCACTCATTATTGTGGTTACTGTATGACTGTCAGAGAATGGCAGATCCTCAACACAGTTGTTCCACAAGTATGA GCAGTGCAAAGCGCAATCCAATA >GU481073 Lassa virus strain Nig08-A19 Z protein (Z) and polymerase (L) genes, complete cds AATTTTGTATGCCAATGTTGTGTGCTTCCTATTGAGTCGAGCAATATGGGTGGCAAACACACCAAACCACAGAGAGAATC CAACAGTCCCAGAGCCTCTCTAATTCCCGATGCAACACACCTGGGCCCTCAATTTTGCAAGAGTTGTTGGTTTGAGAACA AAGGTCTGGTGGAGTGCAACAACCATTACTTATGCCTCAACTGCCTTACTTTACTCCTGTCTGTCAGCAACAGATGCCCC ATCTGTAAGATGCCCCTCCCCACGAGGCTGAGAGCATCAACCAACCCAACAGCACCCCAGGTCGAACAAGTCGGCCCTAC AAATCCTCCACCATACAGTCCCTAACTCATCCCAAACAACAACACACCAGATCTCCCTTCCACCCCCCGACACCCCCCGG GGGGACCCCCCGCCGGGGGCCCCCCCGGGGGAGCCACTCCGAAGCTGCTACTCAATATCCTCAACACCTCCCACCTCTTC TAGCAACTCCTCACACGTCCTACCCTTAAGCCTCAGCCTCCCACCACTCGACTGTATCATAATTTTCCCTTTGGATTTAC TGTAACACAGGGCATACCCCTTAAATTCTACCCATTCATCTATTGATCTTAATACGTTATGTAAAACCCTCATGGCACTA TCAGGCATTGCCTTTTTCAATAATTGAACAATATCCACCCCTGACCATTGAACTTTGAGTTTCAATCTATCCGCTATCAT GGCAGTCAGCGCTCCAACCATCAGATCATGAGAACTATCATCAATCTCTTTTACAAAAATCTCAAGATCTTGATCTTGAA TAACAGGTGTAAATGCTGCCAGTTTTCTGTCACACTCCCAAAGAGCTCCCCTATTGACGACCAATGGGACTGGCTCAGTA TGAGGACCTACCTGCACAAAATCATACTCTGTGAACTGCAACTTGTCAACATCCACAACAATTTTAATGGGGGTAACAGG GCCGAGCTCCTTTGAGTCTATCAAAAACTCCTTGATGACTTCAGTGTCAACAAACCAAGAAGAGTCATTCTTATAAGTAG GTCCTGACAAAACCAGCCTCCAACAATCTGGCAAAACACATGAGTTAACAGAGCCAGAATACATAGCACTCACATCATCG ACAATGTATCTCCCTTGTTGTGTCATTGATCCAACAAACTCAAGGTGAATGGAGAAGCTCTCCTTAAAACATGCATCCTG ACTCTTAATCTGAAACCTAATTGTCTGGTTCAATTTTACTGAGCCAGGTGGGAGAGATCCCATAGATTCAAGAAAATCCT CCAAGGACTCTAATCTAACATCAACTAACCCTGAAGCTATCAATTGATTCTGATTAAACCTTGCTGGATCAATGTCATAA TCTATCCATGCATAACCCATCATTAAATCGTGTTTGAACATCGGCCTCTCAATGCCTTTGTGGATTACTTTCTCCACAAA TGAAGAAAAAGGCCCAAGTCTCTGTAAACCTTCCCCCTCTGGAATGGATGTCCTATGTGGGAACCATGTGAAGGACCCCA AGGTTCTTGTTGTCGCAACAAATGATCTTACGTATGACTCAAAGTAAATTTGTCTCATAAAGTTGTCGACTGCATCACTA GTGCTAACAACCCTCTCTTCTATCATCGGTTCATGTATTCTGCTGTGAGATTGCCTTAATTCAGATGATAGGACGATATA GTGTTCTTCTCTTTTCCACTTAACAATGTGTGACACAAGGGACAATGCTTCACAATTCACATCCAGTGCCACACAGAGAT CCAGAAACTTAATTCTTGGAGACCACTTCATTTTTGTAGAAGCTAGATCGCTCATAAAAGGCAATATGTGTTTCTCAAAC ATTGTGGGATACAATCTTCTTAAGGAATGAATAATGTGGTTAACACCCACTCTATCCTCTAGGAGCTTTGATGCTGTGGG TTTTAGTGGGAAATAATCACAGGGGTTATGCTTAAAGAATGCCAGTGGCTTTGATTCCTTAGGCTCTCCTAGGACCCATG CTCCGAGCTCTATTGCAGTTGATAACGAAATGCACATGTAGTCCCACAATAAAGGTCTGAAATAAGCCAAAACACTCTCA CACTCACCCCTGACCTTCAGGGGGACCCTCCAAAACTGCACCCCATGATTGTTTGTGAGCATCTCAATGTCTTTAATACC AGCTATTGATGAAATTATTGATCTTATGTAGAGATTCTCCTTATTCGGTCCTCTAACACACTTACTACCCAACGTTCTAC ACAGTCCTACGAACCCAGAGGCTATGGAGCTTTGGAATGCAGATTTATTTATGGCTTCTGAGAGCAACTTCTGTGCACCC CTTGTGAAAGTTGATGACAACTTGTTTTGGATTGTCTTAACAACAGTGGGAATCTTTTCATCATCTAGATTGACAGCACC TGAGTAAATAATTTTCTGTCGAAGCACCATTCTTAGTGGGTGATGAGCAGCCAAATTCAGCCAGCATAGCTCCAGATCAG CTTTTGATGGGGGCTCCACACCCAACATCTCACTGAGGTTTTCCAAAGATGTCAGGTGCTCACCTGATAAGTAATTGGTT GTGAATTCTTCATGTAATTCACCTGTTTTTAGCCTATTGAACAGTCTTCTCAGCATGGACCTTACTCTACGGCATGGCTC TGGAGCTAACTTCTCGATCTGCCTCATAATTCTGTATGAACGGTTCCCATCAACCCAATCTCTCACGTCAGTCTCACAGT TCAAAAGGAATGGGTCAATGGGATATCTAGCATATTGTAAGAGGGATAATGTCCTCAATTGAATTAAGTTGCACAAGTGA ACAGGCACTCCATTGGCAACCGATTGATCTATTATTGTATCTATTGTCTCTGCAAGTTGATGGGGCTCTTTACATTTTAT GTTATGGAGGGCAGCTGCAACAAACTTTGTTAATAGCGGTACTTCATCACCCCATACATAAAACCTTGATTTGAATTCTG CAACAAATCTTCCAATAACACTTTTCGGACTCACAAATTTGTTGAGTTGATCACTCATATATAAGTGAAACTCTAATAAA GTCTTAAATTCTTCAGGGTCCCTGGCCATGAGCATGGTGAGGTTTTGATCAAACATTGATATTTGATCATCACTAGAGGT GTATGCATCAATTGAACCGTCACAAACACAACTAATGGCGTAGTTTATGAACCTTTCAGAAATTAATGCATAAAAATCTG ATGTGTTATGCAAAATTCCTTGTCCCATATCAAGAATTGAGCTGATGTGGGAAGGCACCCTACCAACCTGAAAGTTTGAA TAGAAAAAATCTTCAGTTGCAGTTTGAGACGTACTCTTTCTTAAACCTAACTGAGCCTTTATATAAGATTTCATCATTGC TGACACAACATTAAAGGGTATCTCAACCATTTTATGCATATGCCATGTTAATAAGGTAGAGAGGTAATCACGTCCTTTAA TGTCAGCTTGTAAATCCTTTGACATAAACACTAGGTTTTGTAAGACTGCAAGGAACAAGAATGGACACATCATCGGACCC CATTTACTATGGTCCATGCTATAAGAAACATGTGCCAAAGACACATTCAATTTCATTGAGAGAATCGCATTCTCAAATTC TTTCTCATTGTTCAAACAGCTTCCAGACAACTGCAAACTTAATGCCTCAAAATAATCTTCAATCAACCTGGTGAACATCT TCGTCCTAAGGTCTCCGATGTACAACTCCCTGTTGCCACCAACTTGCTCCTTGTAGGACAAAGAGAATTTCAGTCTACCT GTGTCTGGCCCAATTGAGTTATAAGACTGTGGTGATTCCTGGCTGTAGAAACACAGATTCTTCAGCATTGCAGTGGTGCA GTTTGTCAGAGATAAAGCCTTACTCAGTGCCTCTGAGTTGCTTTCTCTTTCACTAATTCTAGTATCCTCAGTGAGTCTAC TCGTGTCAAATTTAAAATTCAAACATCTTGACTTATAATGAGAATACCTTCCCATCAGTTTGTTACCATTCATCAGCAGC ATTATTGATTTAAAGCATTGAAAGTACTCAAGGTCAAGATATGTTCTTGTGGCTACTGCTTTGGTGAGCTCTCCGATGGG ACAACCTGTCATAGGTCCGCAATAAAAATACTTATCCTTCATTTCAGAATCATTATAAATAGTGTCACAGAATTCTTTGT AGAAGCCTTCTGGTAGGATTTCATAATCAAAATCTTCAACCATATGGTTAGACAACTCACTCTTAATTAGTCTAATGTAA AATTTATTAGACACGATCTTCTCTAAATCACTCATTAGAGGGGCACCATCACCCTTCATATGTGAAGGTGACTTGACTGG CTCCTTGTATTGATCTATTATCTTTTCAATTGTCCCCCTCAATTCATCGAAATATTCAGATGCCCCTCCATCAAGAAGGG CTTCATCTAGATCAGTGCTGTCAATATCAACAGTGCGAGCTTTAGGACCTAATACTAAATTGCTCATTGCCTGTTGTATC TTATATTCATAATCTTGCTTGTTAAGTAGATGTTTACCTTTTCGTGAGAATGTCTCAGTCAACTGTGTGACGGCTAATGC TGTGAGTTTGTTAAAGTCATAGTTCAGCACCCTAGAGCCATCTGTATACTTGTTGACGACCACACTTTTATTGCTTGCTA AGTCTAAAGCTGTTGCACATCCACTTGTGATAAGAGGATCTTTCATTTCTTTCTTTATTTCCTTTCCTTTGAAAAGGGAG CCATTATTGAAAGAAGACGCAAGTAAAGATAAATACTTTTTAGAAACACCTGGTTTCTTGTAGCTTAATCTGCTCACTTC AGTGCATCCTTTCTTGCTCAAAAACATCTTTGCATTGTAGATCATTTCATCCATTTCATCCTTGGTAGCTAGATCTGTAG GATTAACAGTAACATGGCCAAAATCCAACTTCGGTTCAAGAAATTTTTCAAAGCATTTGATTTGGTCTGTCAATCGATCA GGGGTTTCCTTCGTAATGAAGTGACACATATAAGAAACATTTAAGACAAATTTAAACCTGTTAGTCAGCATGCTTTTTAC ATCTTTGTGCAACACAATGTTTAACAGTGCTCTAATGAGTCTATAGAGTAAAAACTCAACTTTTGTGATCAGCCTTTCCT TAAGTTTCTGGATCAGCTCTTTGTGATAAAAATCGGAGACATAAGCCATCACAAAGTACCTTAAATTTTGGAGAAGCTTT TGACTGCGTTTACTCGGATGTGCTAAGATTAGAATCAAAATCATCTTGGTCAAAGACTTAATGCTGATCATCTGATCTAC CAGCTCAGTACATTCTCCAATCCAGCTGACCATAACATCCACAGTTGACTGTAAAACTTCAGCTGAAAATATTGCAGGAA AAAACCTCTTTGGGTCTGCATAAAAGGAGCAAACTTCACCAACTGAATTGTTGTTTATAGCATAACACTTAGAGCATTCA CCTGTCTTTTGGTAAAGCAGCTGGAAATTTTCTCCGTCTAGAGTAAAATCCTGACTGTATGCCTCTTTGCACTTCACCAC TTGATATCTAGCTGCTCCAAATTCATTCTGCCTTATTTTCACGGTTGATGAGGTTTTCATAGAATTGACCAAAGCTAGAC TGAGTGATGACAACCTCTCCAAGTCAACTGAGTCCATAATACCAACTGTACCCATTGGATAAGGAAACTTCTCTTCCTCA GATTTCTGATAACTGATGGTAGGGGTGATCCCGGAGACATCAAAGCTTAAGACATCATCATAGGTTTGAGGAGTAATTAT GTCCATATCAATGCCGTAGTGGCTCACATCTATCCCAACGTCAGCTAAAGCAGAAGTGGCTTTCTCAATGGTCTTTTGAA TAATGGTTCTTAAGATTTGATTTTTGTCCAAACAAGGAAGAGGAGCAGTTATATGGGGCTTGGAAACCTCTACTCTACAC CTCCTCTCTAACCACTTCTTTAGGTCTCTTTTTGTTGACTCCAAGGAGACCAAACGATCATTTACACTTACAAAGCTGGA TCCCAACCATCCTTTTGGGTTGTTGCATTTATTCCTCATAAAATCTCTCCTACTTGCAAGGAGTATCAAGATGTCAAAAA CCAACATCAGCTTTCGTCTAGTATTTAAGATCCTTAATGATTTAACCTTATTCAGGAATGATCTCCAGCATTGCATCTGA TCCTCAGTAGTCATAATATCTTTGTTGGCTCTGCCCTCAATATCTGCATATAAGAACCTCATAATTGGCGACACTCTCTT ATATTGATGAATCAAGCAATCAATTGTATCCTCCTGAACCACAACCTCATCACTATATAAGTTATTAAATTTGTGCATCA GGTCCTCTTGGTCAACCCTCACAAATTGACTCTCTATATCTCCCTGCCTAATTCTGTTCCTAAAAATTTGATACTCTTCT TCAATTTGTGTCCTCACTTCATGAGCTGACATCTTATTATTGATGCCCTGATGGCAAAGAGTGATTATCTCTTCATAGTG AGTAGTACGTTTATCTGTTAGGACATTGATGCTCTCTACACCAGAAAGCCTACCAGATGTCATTGACAAGGATTCACAAA GCCTAGAATATTCAGACTCCTCAAAAAGTGAATTGCTCTCTTGAGCAAATTTCAACAGTGAAAACAATGTCTCTCTCAAC TTGTCATTCACCCAATCTGGTATCTGTTCGTTATAAAAAGATGTTCGCCCATCAATGAGGGGAATGAGGGTGATGTCTAC AGATTTCAAGTCATCTTTTAACTGTTCCAACTTTTTAAGGTCTTCAACATACTTCTGCTCAAAATTAGCAGGAGATGATC TCACAAAACACTCGAGCAGTATGAGGATGTTGCCTGTCAATTTATATCCATCAGGAACCACGAAACAAAGAGACGGTGTC AAGATTCCATGATCATGGAGAATACTTTCAACAGATTTATTCTCAGTGTTGTGCTCACACCCGTTGGCACTGCAAGAGTC CACCTCAATACAAAGGGACAAGAGTTTTAAACCTTCCATCAAAAGCATCCTTGGCTCTGTCTGAACAAGGAATGCTAGTT TCTGTCTTGAGAGCTTGTCATTATCTATTAGGTATTTTGAGACTAAGTCCTTGACAGAGGCTATGTCCTCCTCCATGACC CCTAGGAGCTCCCAGGGGATTTTGGCAAACGGAAATCAAAAGTAGTTCATAGAATAGAACACCAAAAT ================================================ FILE: tests/input/TestOrderAndOrient/ref.lasv.ISTH2376.fasta ================================================ >KM821998.1|LASV-ISTH2376-S-NG-2012H CCTAGGCATTTAGGATTGCGCTTTTAGAGATCTTTGTGTGAGTGAGCTTCATCAAGCCAT GGGGCAAATTATAACATTTTTCCAAGAAGTACCTCATGTCATAGAGGAAGTGATGAACAT TGTCCTGATTGCTCTCAGCCTTCTGGCAATTCTGAAAGGGATCTACAATGTTGCTACATG TGGCCTTTTTGGACTGGTGTCTTTTCTCCTCTTATGTGGAAGATCATGCTCAACAACTTA CAAGGGTGTTTATGAGCTACAGACTCTAGAGCTAGACATGGCTAGCCTTAACATGACAAT GCCCTTATCTTGCACGAAGAACAACTCCCACCATTACATCATGGTCGGAAATGAGACTGG CTTGGAGCTGACTTTAACAAATACAAGTATTATCAACCACAAGTTTTGCAACCTCTCTGA TGCACATAAGAAGAATCTTTATGACCATGCTTTAATGAGTATCATCTCAACCTTCCACTT ATCCATTCCCAACTTTAATCAATATGAAGCGATGAGCTGTGACTTCAATGGGGGGAAGAT AAGTGTGCAGTACAACCTCAGCCACACTTACGCTGTGGATGCGGCTAACCACTGTGGGAC CATTGCCAATGGCGTTCTTCAGACTTTTATGAGGATGGCTTGGGGTGGCAGTTACATAGC ACTTGATTCCGGAAAGGGGAATTGGGATTGCATAATGACTTCCTACCAATATTTGATAAT CCAAAACACCACTTGGGAAGATCACTGCCAGTTTTCTCGTCCATCCCCCATCGGTTATCT GGGGCTACTGTCACAAAGGACCAGGGACATTTATATCAGTCGAAGACTTCTTGGGACTTT CACTTGGACTCTCTCTGATTCCGAAGGTAATGAAACACCGGGTGGGTATTGTCTAACAAG ATGGATGCTGATTGAGGCCGAGTTGAAGTGCTTTGGGAACACAGCAGTTGCAAAATGTAA TGAGAAACATGATGAAGAGTTTTGTGACATGTTAAGATTGTTTGACTTTAACAAACAAGC TATAAGTAGGCTGAAGACAGAAGCACAGATGAGTATCCAACTGATAAACAAAGCAGTAAA TGCACTGATCAATGACCAGCTGATTATGAAGAATCATTTGAGAGATATCATGGGAATTCC TTATTGCAATTACAGCAAATATTGGTATCTAAATCACACTGTAACAGGGAAGACATCGTT GCCAAGATGCTGGCTTGTGTCAAATGGTTCCTACCTGAATGAAACACATTTTTCTGATGA CATTGAACAACAAGCAGACAACATGATAACAGAAATGTTGCAAAAGGAGTACATAGATAG GCAAGGGAAAACACCCTTAGGGTTAGTAGATCTTTTTGTCTTCAGCACCAGTTTTTACCT TATTAGCATCTTCCTCCACCTGGTTAAAATCCCAACCCACAGACACATCACAGGGAAACC CTGCCCCAAACCACACAGACTCAACCACATGGGCATATGCTCATGTGGTCTATACAAACA TCCTGGTGTGCCAGTCAAGTGGAAAAGATAGAAGATAGACCCACCCATGGGCCCCCGTGA CCCACCGCCGAAAGGCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACCTTGGGGCTT GAGGTTCTAAACACCATGTCTCTGGGGAGAACTGCTCTTAAAACTGGTATATTGAGTCCC CCTGACACAGCTGCATCATACATTATGCAGTCCATCAAAGCACAGTGCGGGGTAATTTCT TCTTTACCTCCTCTTTTCTTCTTTTCGACAACCACTCCAGTATGCATATGGCACAGATCC CTGCACTGATCCCAAACAGCATTTTCAAATCTCCTAGAGTCAGCCTTACTCAGTGCAATG TCAATAAGCTTTATGTCCCTCCTTCCCTGAGAGTCCAAGAGTCTCTTAATATCATCTGAA CCTTGACAGGTCAGTACCATGTTGCGAGGAAGGGCTTCAATAACTGCACTGGTCAGGCCA GGTTGAGCAGGGAAAAGATCTGCCACATCAATCCCGTGAGAATACTTGGCATCTTGCTTG AACTGTTTTAAATCTGTTGGTTCTCTGAAGAAGTGTATGTAACAGCCCGACATGGGTTGG TAAAGAGCTATTTCCACAGGATCTTCTGGACGACCTTCAATGTCTATCCATGTTTTGGCA CTTGGGTCAAGTTGCATCATTGAGTCCTTAAGTGTCATCAACTGAGAATAGGTCAGCCCC GTTGGAAACCCCGCTGACTGTAAAGACTTGTTGGACCCAGCAGCACCCACTTTTTGTGGT TTTCCATCTGACTCGAGATCCACAGTAGTATTCTCCCAAGCTCTACCCGCAATAGAAGTC CTTGAAGCTATGTAAGGCCAGCCGTCACCGGAAAGACAGATCTTATAAAGTATGTTCTCG TAAGGGTTCCTCTCACCAGGTGTGTCTGAAACAAACATTCCCAAGGATCTTTTTACCTTT AAAATAGACTTCAAGATGCCATCCATTGTCTGAGGTGTAACCTTGATGGTCTCCAACATG TTCCCCCCATCAAGCATACAAGCTCCAGCTTTCACTGCAGCTCCTAAACTGAAGTTATAA CCAGAAATGTTCAAGGAGCTCTTCTTGGTGTCCACCATATTCAGTATAGGATGGCTTTGG GAGAGTCTGTCCAGGTCGGAGCTATTTGGATACTTAGCTGTGTATATTAGACCCAGGTCT GTCAGTGCTAAGACGGCATCATTCAAATCAACTTGACCTTGTTTGGTGAGACATGCTAAT GTCAGACTAGGCATGGTGCCGAACTGGTTGTTCAGAAGATCCGGGTTCTTAACATCCCAC ACCCTAACAACTCCGTCTCTTCCAGGTTGGGTGCCCTGAGCCCCACCAACCATGCCTATC ATGTTCAGCAATGCTCTTCTTTGCTCAAGCTGCTGTGTACTTAAATTCCCCATATAAACA CCTGAGCTTAGTGGCCTTTCTGTTCTAATGACCTTCGACTTTAGTTTCTCTAAGTCAGCT GCCAACGTCAACAGGTCATCTGAGGTCAGGGTCCCAACTCTCAAGATGCTCTTTTGTTGC GTCGATTTGAGTTCTACAAGATTGTTGACAGCCTGATTCAAATCTCTAAGACGTTTCAGA TCACTATCATCCCTTTTTTGTTTGCGCATTAAGCGTTGCACATTGCTGACTTCAGAAAAG TCAAGACCATGAAGGAGAGCCTGAGCATCCTTAACAACTTGAAGTTTTATGCTGGAGCAA TAACCTGAAAGCTCCCTCCTCAATGACTGTGTCCAGAGAAATGACTTCACTTCCTTGGAA GCACTCATCTTAGTCTGGACACCTAGGGATTGACTGGTCAAAAGTTTCACTCAGTAAGTC AATGAAAGGCGCAATCCAGTAGCCTAGGATCCACTG >KM821997.1|LASV-ISTH2376-L-NG-2012H ATCCTAGGCAATTCAGCTGGACTTCAGTGGTGAGGCTCACTTTGGTGAATTCCTGAATTA AAGTACCTAGTCAAAATGGGCAACAGACAGGCCAAATCGACAAAAGTCGATGAACATCAA AGAGCTCATCTAGTGCCAGATGCATCCCATCTAGGCCCCCAGTTCTGCAAGAGTTGCTGG TTTGAGAACAGAGGGTTGGTAGAGTGCAACAATCACTACCTGTGTCTCAACTGCCTCAGC CTGCTCCTCAGTGTCAGCAGCAGATGCCCGATCTGCAAGATGCCCCTTCCCACCAGGCTA AAGGCAGCGACACAGCCGAGCGCACCATCAACTGAGGCGACCCAGACCACAACACCTCCA CCATACACCCCATGATCCCGGGATCAACACTCCCACCTCCACCGCCCACCCCNNACCCCC GGGGGGACCCCCCGCCGGGGGCCCCCCCGGGGGGGCAGGCGGTCCAGCTCTACTCGATGT CCTCAACACACTTCTCTGGCCCAAACAACTCCGAACATGTCCTTCCCTTCAGTCTTAGGC TACCCCCACTTGACTGTATCATCACTCTTTGCCTTGATTTACTATAGCAAAGAGCATAGC CTTTGAAATCAATCCATTCTCCAAGAGATTCAAGAAGTTCACTCAGTATATTAGCATAAT CCATAGGTCTCTGTTTAGTAAGGATTGAGACAATGTCCACATCCGTCCATTGAACCCTTT GTTTCAATCTATCAGACATCATTGATTTCAATGCACCAACCAAAAGATGCGGGGAACTAT CACCAATCTCCCTTACAAACATTTCCAGATCTTGATCTTGGATAGATGGTGTAAATGCAG CTACCCTTTTATCAGATTCCCACAGTGCTCCTCTACACACAACCAATGGCACTGGTTCGT TGTCAGGTCCGACCTTGGTGAAATCAAACTCACTGAACTGCAGTTTATCTGGATTAATAA TCAGCTTCATGGGTATAACATCCCCCAACTGCTGTGTATCCTTTAAGAATTCATTTACCA CATCTGATTCAACAAACCAGGATGATCTACCTTTGAAAGTTGGGCCCGACAAAGCAAGTC TCCAACAGTCAGGCAGGACACATGGGCTCACAGACCCAGAATATAGTGCCTGTATATCAT TCACTACAAACTCACCACATTGATTAACAAGTCCTGTCATGTTGAGATGGATAGAAAAAG TCTCTTTAAAACTAGCATCCTGACTCTTGATTTTATACCTAATTGTCTGGTAAAACTGAA CAGAGTCTACTGGCATTGTGCTTAACAAATCAAAGAAATCTTCAAGGGAGTCTAACCTCA ATTCCTCTGTCAGGCCTGAAGCAATGAGCTGGTTCAAGTTTATCTGAGCTGGTTCCATGT CAAAATCTATCCATGCATAGCCCATCATTAGATCAAACTTAAACATGGGTCTCTCTATCC CTTTGTAAATGGCTTTCTCAATGAATGAAGAGAAGGGACCCAGTCGCTGTAAACCTTCAC CCTCTGGTATTGAAGTTTTATGAGGAAACCAAGTGAATGACCCAAGTGTCCTTGTTGTTG CTACAAAAGAGCGGACATATGATTCAAAGTAGACTTGTCTCATAAAGTTGTCCACTGCAT CAGCAGTACTAACCACCCTTTCCTCCATCATGGGCTCATGTGTGCGAGAGTGTGAGTTTC TCAGTTCAGAAGCCAATACAACATAATGTTCCTCCCTTTTCCACTTGACAATGTGTGAAA CAAGTGAAAGTGCCTCGCAATTCACATCTAGGGCAACACAAAGGTCAAGGAACTTTATTC TAGGTGACCATTTCATCTTTGTGGAAGCTAAATCACTCATAAATGGCAAGATGTGCTTCT CAAATAGAGACGGATATAAACGTCTCAAAGAGTGGATGATGTGGCTCATGCCAACCCTGT CCTCTAGCAGTTTCGAAACAGTGGGTCTCAAGGGGAAATAATCACAAGGGTTATGCTTAA AAAAGTCCAAGATCTGAGCTTGTTTTGGTTCCCCGAGCACCCACGCTCCAAGTTCTATAG CTGTAGATAGTGTTATGCACATATAATCCCATAGAAGAGGTCTTAAATAAGTGACAACAG TACTACCTCCATCTTTGGCTTCTGGTGAGACTTTCCATATCTGAATTCCATTGTCCCCCA TCACTGCTTCAACACCCTGAGTCCCCAATAGTTGAGTCTGTATGGATCTAATGTAAAGAT TCTCCTTGTTGGGGCCTCTGACGCACTTGCTACCCAGTGTTCTGCACAACCCCACAAACC CAGATGCTATAGAACTTTGGAAAGCTGATTTATTTATTGCTTCAGACAGTAGCTTCTGAG CTCCTCTAGTGAATGTGGATGACAACCTATTTTGCAAAGTCTTTACTATTGTAGGGACCC TTTCATCTTCCAGATTCACAGCGCCAGAATAGATAATCTTTTGCCGCAACACCATTCTAA GTGGGTGATGGGTGGCTAAGTTCAACCAATGAAACCCCAAGTCAGAATCAGACAAAGGTT CAATGCCTAGAAGTTTAAACAAATTCTGTAATGATGTTGTGTGTTCACCTGATAGGTAGT TGGTGGTGAATTCCTCATGAAGCTCACCAGTTTTTAATTTATTGAACAATATCCTAAGCA TTGACCTCATCTTTTTGCATGCATCAGGAATTAGCCTCTCGATCTGCCTCATTATCCTAT AGCTACGATTCCCGTCCACCCAATCTCTTACATCAGTCTCGCAGTTCAAAAGGAATGGAT CAATAGGATACTTGGCATAACATAACAAACTCAAAGTCCTCTTCTGAATTTGATTGCACA GATCAACTGGGACACCATTGGCCACAGACTGATCAATTATGGTATCAATTGTTTCTGCCA ATTGATGGGGTTCTTTGCACTTTATGTTATGTAAAGCTGCAGCAACAAATTTTGTTAGCA GGGGCACCTCGTCACCCCAAACATAGAACCTTGATTTGAACTCTGCAACAAACCTGCCAA TTGCACTCTTTGGACTTACAAATTTATTTAACTGATCACTCATGTAGTAATGGAACTCTA ACAATGTTTTGAATTCTTCTGCATCTCTTGAAAGTAATTCTGTTAAGTTCTGATCAAATA ATGATATCTGATCGTCACTGGACGTGTAAGCATCAATTTGTCCTCCAGACACACACCTCA CCGCAAAATTTATAAATCTTTCAGAAATCAACGCATAAAAGTCTGAGGTGTTGTGTAAGA TACCCTGTCCCATATCAAGGATTGAACTAATGTGTGAGGGGACTGTGCCAGTTTGAAAGT TGGAATTAAAGAAGTCTTCGGTCATTGATTGAGTTGTCTTCTTCTTCAATCCAAGTTGGG ACTTGATGTATGATTTCATCATTGCTGATACAACATTAAATGGGATCTCAACCATTTTGT GCATATGCCATGTTAATAATGTTGACAAGTAATCTTTACCTTTTAAATCAGCTTGTAAAT CATCAGAAAGTAAGATTAAGTTTTGAATTATTGTTAGAAACAAGAAAGGACACATCATAG GACCCCACTTACTGTGATCCATACTATATGATACATGTGCCGATGAGACATTCAGTTTCA TTGACAAAATGGCATTATCAAACTCCTTCTCATTGTTTAGACAGCTGCCTGCTAATTGTG ATGTGAGTGCTTCAAAGTAATCCTCAATGAGCCTTGTGAACATTTTTGTCCTTAAATCTC CGATGTACAACTCTCTATTGCCACCCACTTGTTCCTTGTAAGACAAAGAAAACTTTAGTC TACCAGTGTCAGGGCCAGTTGAATTATAAGATTGAGGTGATTCTTGACTGTAAAAACACA GGTTTTTTAGCATTGCTGTAGTACAGTTAGTTAGGGACAAGGCCTTGCTAAGTGCTTCAG AGTTACTCTCACGTTCACTTATCCTGACATCATCAGCCAATCTCCCTGTATCAAATTTAA AGTTCAGACACTTGCTCTTATAATGAGAGTATCTTCCCATCAGCTTATTCCCATTCATCA CTAGTAAAATTGACTTAAAGCACTGAAAATATTCTTGGTCCAAAAAAGTCCTAGTCACTA CTGCTTTTGTCAGCTCACTAATAGGACATGAATTCATTGGCCCTACATAAAAATATTTAC TTCTCAAAGTAGCATCATTGTAGATATTCTCACAAATTTTGATGTATTGATCTTCAGACA GGATCTCTCGATCAAAATCTTCTATCATATGGTTTGAAAGTTCACTTTTTATCAACCTTA TTAAGAGTTTTTCTTCCACCACTTTGTCAAGATCAGATATTGAGGGTGCATTGCAGTCTG CCTGCTGCTGTCCTTTTGGTTGCTCCCTATACTGACTGACAATATTGTCAACAGTGCACC TCAGTTGGTCGAAGTATTCTGATGCTCCTCCATCCAATAGTATCTCATCTAGATCAGCAT TGTTGGTGTCACCACTCCCTCCTTTGGACCCCAGAACAAGATTACTCATTGCTTGCTGTA TTTTGTAATCATAATCCTGTTTATTAAGCAAGAATTTGCCTTTACGTGCAAACACCTCAG TTAACTGTGTGACAGCCAAAGCTGTAAGTTTATTGAAGTCATAATCCAGAATACGGGACC CATCTGTATACTTATTCACAACGACGCTCTTATTGCTGGCCAGGTCCAAGGCTGTTGCAC AGCCGCTTGTAATAAGAGGGTCTCGCAGTGTCTTTTTTACCTCCTTTTCTTTGAACAATG AACCATTGTTAAAACTGGACACAAGGAGTGAAATAAATTTCTTGGAAACACCAGGCTTTT TATACCTAACTTTTTCCGCATCTACACAACATTCTTTACTTAGGAATTTTCTTGCATTAT AAACCATTTCAACAAGCTCTTCCTCCAATGCATCATCCTTCGGGTTCACACTCACATGTC CAAATTCCAACTTGGGCTCAAGGAATTTTTCAAAGCATTTGATCTGGTCAGTCAGTCTGT CAGGTGTTTCTTTTGTAATGAAGTGACACATATAGGAGATATTTAAAACAAACTTGAATC TATTGGTCATCATACTGACAACTTCTTCAGACAGAATTATCTTTAATAAGTAACGAACAA GTCTGTAGAGCAGATATTCTACTTCTGTGATCAAATCCTCCCTGATTTTCTCAATCAAGT CCTTATGATAAAAATCGGATACAAAGGCCATCACAAAATACCTGATGTTTTGTAAAAATT TTTGACACCTTTTACTAGGGTGTGTCAGTATTAAAACTAAAATCATTTTAGTTAACAATT TAATAGTGATCAATTGTTCAGACAACTCTGTGCACTCTTCTATCCAGCTGACCATAACAT CGACTACTTTCTGCAGCACATCACTGGAGAAAACTGAAGGAAAAAACCGTTTGGGATCAG CATAAAAGGAACAAACCTCTCCAACTACATTATTGTTAATAGCATAACACTTTGAGCATT CACCTGTTTTTTGATACAATAGTTTGAATCCCATCTTATTGATGAAGAACTCTTGGCAGT AGGCCTCTTTGCACCTCACAACCTGGTATCTAGAGGGTCCAAATTCATTTTGCCTTAGTT TCACTGTAGAAGACGTTTTCATTGAGTTAATCAAAGCCAAGCTCAATGATGATAGTCTTT CTAAGTCTGTTGCACCTAGAATGTCAATAACGCCAAGAGTATAAGGGAACATGTCTTCCT GAGTTTTCTGGTAACTCATAGTGGGTGTGATGCCAGAGATCTCAATGTCCATGATGGCAT CATAAACATCACAATCAAGGATTTTGAAATCAATTCCATAAGAGTTGGTTTCTATGCCAA CCTCCCTCAAAGCATTAGCGGCTCGAGTTAAAACTCTGTTGATGATGGCAAGGAGCTCAC AATTTCGTTCTTCTTTGGGTGATAGGACACCCACGTTCTTGTCTCTAGTTCTCTTCCTGC TATCTATCCACCGTTTTAGATCTCTTTTTGTTGATTCCAATGAAACTAATCTGTCGTTAA CACTCACAAAACAGGAGCCCAACCAACCAGCAAGGAGCTTGTCACCATGCCTTATACAGT CCAGTCGGCTGGCAAGAAGGATCAGAACGTCAAAAACAAGGAGAAGTTTCCTTCTGGTGT TGAGGATCCTCAGAGACTTTATCTTATTTAAAAAAGATCTCCAACATTGCATCTGTTCAC TTTGAGAGTCAACAGCCTTTTCCTTGCTAGAATCCAAATCTGCATATAAGAATTTAAGGA CTGGAGAGGCTCTTCGGAACTGAAATGTTAACTGTTCAATGTTGTCATCACAGGTGTCTA TTTTATCACAATATAGCTTTCTGAAATCCTCTAACAACTTCATCTTATCAGTCTTAACAA ATTGACTTTCTATGTTCCCTTGCCTTAGTTTGTTCCTGAAGATTTGATACTCCTCCTCAA TCAAACTCTTGACTTCATGAGAGGTAAGCTTGTTATTAATGCCTTGATGACAACTAGAAA TTATTTCTTCAAAGTGTTTTGCACGCTTGTCAATTAGAACATTGATGCTTTCAATTCCTG AGAGCCTCCCAGACGTTAAGGCTAAAGATTCACAAAGCCTCGAATATTCAGACTCTTCGA ACAATGCATTACTTTCTTGTGAATATTTTAACAAGGTGAATAAGGTGTCCCTGAGTTTGT CATTCACCCAATCAGGTATCTGTTCATTGTAAAATGTTGTCCTGCCGTCTATGAGAGGGA TGAGCTTGATGCCAACAGACTCCAAATCGTTCTTTAATTGTTCTAGTTTCCTGTGATCTT CTAAATACTTCTGTTCGAAATTGGCGGGGGATGATCTGACAAAGCACTCAAGTAAGATTA GAACATTGCCAGTGAGTTTGTAGCCGTCAGGCACCACAAAGCATAAAGCTGGAGTGAGAA TCCCATGATCACTCAGAATGGATTCAACCGTTTTGTCTTCAGTGTTATGTTCACATCCAT TGGCCTTACAGGAGTCAATCTCAATGCAAAGAGATAGTAGTTTCAATCCCTCCATAAGCA ACATTCTGGGTTCGGTTTGGACCAAAAAAGCTAATTTCTGTCTTGACAACTTCTCATTAT CTGCAAGGTACTTTGAGATGAGATCTTTAGCATTAGCAATGTCTTCCTCCATCGCCAACT GTGGCACCTGTGTTGGGTTTGGGTTTATGCCAATATGGCTTGTGGGTCGGCTGGTGATGT CCTAAAGAAGCTCCTACAGAAATGAGAGACAATATGCCTAGGATC ================================================ FILE: tests/input/TestOrderAndOrient/ref.lasv.KGH_G502.fasta ================================================ >LASV-G502-S-Sierra_Leone-2009H GGATCCTAGGCATTTTTGGTTGCGCAATTCAAGTGTCCTATTTCAAAATGGGACAGATAG TGACATTCTTCCAGGAAGTACCTCATGTAATAGAAGAGGTGATGAACATTGTTCTCATTG CACTGTCTATACTAGCAGTGCTGAAAGGTCTGTATAATTTTGCAACATGTGGCCTCGTTG GTCTACTCACCTTCCTCCTATTGTGTGGCAGGTCTTGCACAACCGGACTTTACAAAGGGG TTTATGAGCTTCAAACTCTGGAACTAAACATGGAGACACTCAATATGACCATGCCTCTCT CCTGCACAAAGAACAACAGTCATCATTATATAATGGTGGGTAATGAGACAGGACTAGAAC TGACTTTGACTAACACGAGCATCATTAATCATAAATTTTGCAATCTGTCTGATGCCCACA AAAAGAACCTTTATGACCACGCTCTTATGAGCATAATTTCAACTTTCCACTTGTCCATCC CCAACTTCAATCAGTATGAGGCAATGAGCTGCGATTTTAATGGGGGAAAGATTAGTGTAC AGTACAACCTGAGCCACAGTTATGCTGGGGATGCGGCTGATCATTGTGGCACTGTTGCAA ATGGTGTCTTGCAGACTTTCATGAGGATGGCCTGGGGTGGGAGCTACATTGCTCTTGACT CAGGTCGTGGCAGGTGGGACTGTATTATGACTAGTTATCAATATTTGATAATCCAAAATA CAACCTGGGAAGATCACTGCCAGTTCTCAAGACCATCTCCCATCGGTTATCTCGGGCTCC TCTCACAAAGAACTAGAGACATTTACATTAGTAGAAGGCTACTAGGCACATTCACATGGA CACTGTCAGATTCTGAAGGCAAGGACACACCAGGAGGATATTGTCTGACTAGATGGATGC TGATTGAGGCTGAATTAAAATGCTTCGGGAACACAGCTGTAGCAAAATGTAATGAGAAGC ATGATGAGGAATTTTGTGACATGCTGAGGCTGTTTGACTTCAACAAACAAGCCATTCAAA GGTTAAAAGCTGAAGCACAGATGAGCATTCAATTGATCAACAAGGCAGTAAATGCTTTGA TAAATGACCAACTTGTAATGAAGAACCACTTACGGGACATCATGGGAATTCCATACTGTA ATTACAGCAGGTATTGGTATCTCAACCACACAACCACTGGAAGAACATCACTGCCTAAAT GTTGGCTTGTGTCAAATGGCTCATACTTAAACGAGACCCACTTTTCTGATGATATTGAGC AACAAGCTGACAACATGATCACTGAGATGTTACAGAAGGAATATATGGAAAGGCAGGGAA AGACACCATTAGGTCTGGTTGACCTCTTTGTGTTCAGCACAAGTTTCTATCTTATTAGCA TCTTCCTTCACCTGGTCAAGATACCAACTCATAGGCATATTGTGGGCAAGTCGTGTCCCA AACCTCATAGATTGAATCACATGGGCATATGTTCCTGTGGACTCTACAAACAGCCCGGTG TACCTGTGAAATGGAAGAGATGAGACCCCTGTCAGGGCCCCCGTGACCCACCGCCTATTG GCGGTGGGTCACGGGGGCGTCCATTTACAGGACGACTCTGGGTGTTGATGTTCTGAATAC CATATCTCTAGGCAGCACTGCTCTCAAAACAGATGTGTTCAGTCCTCCTGACACTGCTGC ATCAAACATGATGCAGTCCATTAGTGCACAGTGAGGGGTTATTTCCTCTTTACCGCCTCT TTTCTTCTTTTCAACAACGACACCTGTGTGCATGTGGCACAAGTCCTTATACTGATCCCA GACTGCATTTTCATACTTCCTGGAATCAGTTTTGTTGAGGGCAATATCAATTAGTTTGAT GTCTTTTCTACCTTGTGATTCAAGGAGTTTCCTTATGTCATCGGACCCCTGACAGGTAAT GACCATATTCCGGGGGAGTGCATCTATGACAGCACTGGTCAAGCCCGGTTGTGCAGCGAA GAGGTCTGTAACATCAATCCCATGTGAGTACTTAGCATCCTGCTTGAACTGCTTTAAATC AGTAGGTTCACGGAAAAAGTGTATGTAGCAGCCTGAACTTGGCTGATAGAGGGCAATTTC CACTGGGTCTTCAGGTCTTCCTTCGATGTCCATCCAAGTCTTAGTGTTTGGGTCAAGCTG CAGCATCGCATCCTTGAGGGTCATCAGCTGAGAATAGGTAAGCCCAGCGGTAAACCCTGC CGACTGCAGGGATTTATTGGAATTGTTGCTGCCAGCTTTCTGTGGCTTCCCATCTGATTC TAGGTCAACGACAGTGTTTTCCCAGGCTCTTCCTGTTATTGAAGTTCTTGATGCAATATA TGGCCATCCATCTCCTGACAAACAAATCTTGTAGAGTATGTTTTCATAAGGATTCCTTTC ACCAGGGGTGTCTGAGATGAACATCCCAAGAGCCTTCTTGACCTTTAAGATGGATTTGAG GATACCATCCATTGTCTGAGGTGACACTTTGATTGTCTCCAACATATTGCCACCATCCAG CATGCAAGCTCCTGCTTTCACAGCTGCACCCAAGCTAAAATTATAACCAGAGATATTCAA GGAACTCTTCTTGGTGTCAATCATGTTTAAGATGGGGTGACTTTGAGTCAGCCTATCTAA GTCTGAAGTATTGGGATACTTTGCTGTGTAGATCAGACCCAAATCTGTCAGTGCTTGCAC TGCATCATTCAAGTCAACCTGCCCCTGTTTTGTCAGACATGCCAGTGTTAGACTTGGCAT AGTCCCAAACTGATTATTAAGCAACTCTGCATTTTTCACATCCCAAACTCTCACCACTCC ATCCTTCCCAGCCCGAACCCCTTGATTACCACCACTCATTCCTATCATACTCAGAAGAGC CCGTCTTTGGTCAAGTTGCTGTGAGCTCAAGTTGCCCATATAGACACCTGCACTCAATGG CCTTTCTGTCCTGATCACCTTTGATTTCAACTTCTCTAGATCAGCAGCTAAGATTAATAA GTCATCTGAGGTTAGAGTCCCAACTCTCAGTATACTCTTTTGTTGAGTTGATTTTAACTC AACAAGGTTGTTGACCGCTTGATTTAGGTCCCTCAACCGTTTCAAGTCATTGTCATCCCT TCTCTCCTTGCGCATTAACCGTTGAACATTACTGACTTCGGAGAAGTCAAGACCATGCAG AAGAGCCTGGGCATCTTTTACCACCTGTAGTTTGATGTTGGAGCAGTAACCAGACAATTC CCTCCTCAATGATTGTGTCCACAGAAAGGACTTTATTTCCTTTGAGGCACTCATCACCAG ATTGTTGTGCTGGATGCACGCAGCAGAAAGCAAAAACTATCTGCCAAAATGATAAAAGCA AAGCGCAATCCAATAGCCTAGGATCCACTGTGCG >LASV-G502-L-Sierra_Leone-2009H GGATCCTAGGCAATTTGGTTGTTCTCTTTTGGGTTTTGTGTGCTGAACTCCTCCAGATGG GAAACAAGCAAGTCAAAACCCCGGAAGCAAAAGACAGTCCGAGAGCCAGCCTGATCCCAG ATGCCACACACCTAGGGCCACAGTTCTGCAAGAGCTGCTGGTTCGAAAACAAGGGCCTGG TTGAGTGCAACAACCACTATCTGTGTCTCAACTGCCTCACTTTACTTCTAAGTGTTGGCA ACAGGTGCCCCATTTGCAAGATGCCCCTTCCCACAAAACTGAGACCATCAGTCACTCCAA CAGCACCCCCAACCAGAGCAGCGGACAGCATCGGACCCCCACCCTACAGTCCCTGAACCC CCATCGACCCCCACCACTCTCACCCTCCCCCCGACACCCCCCGGGGGGACCCCCCGCCGG GGGCCCCCCCGGGGGAGCCAGCCATCTCCAAGGGACTACTCAATGTCCTCGATGCACTCA TCTCTCCCACCCAGTTCCTCACATGTTCTGCCCTTCAGTCTCAATTTGCCACTACTTGAC TGTACCATCACCTTCCCCTTTGACTTGCTGTAACAGAGAGCATAACCCTTGAATTCCACC CAGTTGTCCACTGCCTCAAGAACCGCACCTAAGATCCCCTCACAACTGGGCGCTGCAGCC CTCAACGTGGAGACAATGTCCACCCCTGACCACTGCATCCTTAATCCCAGTCTGTCTATC ATCATATCACTCAATGCCCCAATCAGCAGGTCAGATGAAGTGTCCCCAACCTCTCTCACA AATACCTCTAGATCCTGGTCTTGTATAACAGGTGTAAAAGATGCCAATTTCTTTCCACAC TCCCACAAGCCTCCCCTATGCACAACCAGAGGAGCTGGTTCAGTGCAAGGACCCACCAAT ACAAAGTCATACTCCGTAAACTGCAGCCTTTCCATGTCAACAACAATTTCAACAGGGGTC ACATGCCCTAGTTGATTTGTGTCAATTAAAAACTCATTGATAATCTCGGTGTCAACATAC CATGCTGATTTGCCCTTGAAAGTAGGTCCTGACAAAACCAGTCTCCAGCAGTCTGTCAAA ACACACGGGCTTACTGCACCTGAGTACATAACGGATACATCATGTACTAAATATTTGGCT TGTTGATTCATTGAGCCAATATACTCAAGGTGGATAGCAAAGCTTTCCTTAAAACTAGCA TCTTGACTTTTAATACGGAACCTCACTGTCTGACTCAGTTTCGCAGACCCTGGGGGTAGT GAAGCCACAGCATCAAAGAAATCCTCCAATGAGTTAAACTTGGGATCAACTAAACCTGAT GCAATCAATTGATTTTGATTGAATCTAGCTGGCTCAATGTCAAAGTCTATCCAAGCATAA CCCATCATCAGATCATGCTTAAACATAGGCCTTTCAACACCTTTGTGAATAACTTTCTCT ACAAATGATGAAAATGGCCCCATTCTATGCAGCCCTTCACCCTCTGGAACTGATGTCTTG TGTGGAAACCACGTGAAGGATCCCAATGTCCTTGTAGTCGCAACAAATGGTCTCACATAA GACTCAAAATAAATTTGCCTCATGAAATTGTCTATAGCATCATTAGTGCTCACCACCCTT TCTTCCACCATGGGTTCATGTGTCCTGCTGTGAGACAACCTCAATTCGGACGATAATACA ATGTAATGTTCCTCTCTTTTCCATTTTACTATGTGTGAGACAAGAGACAAGGCTTCACAA TTAACATCCAATGCTACACAGAGATCTAGAAATTTTATTCTGGGTGACCACTTCATTTTG GTTGACGCTAAATCACTCATGAATGGTAATATGTGTTTCTCAAACACTGATGGGTACAGC CTTCTTAAGGAATGAATGATGTGATTCAAACCAACCCTATCCTCCAATAATTTTGATGCA GTTGGCTTCAAGGGAAAATAGTCACAAGGGTTGTGCTTGAAAAAATCCAACACCTTAACT GTCTTAGGTTCTCCCAAGACCCATGCACCCAGTTCTATTGCAGTTGACAAGGAAATGCAC ATGTAATCCCATAACAAGGGCCTGAAATAACTGACCACACTTTCACTCCCACTTCCCTTT CTAAGTTCTAGCGGAACTTGCCAATATTGAATGCCATTAGAGTTTGTCAACAATTTGATT TCCTTGACATCAGAAATCAGAGACTGAATGGACTTAATATACAGATTCTCCTTATTTGGT CCTCGAACACATTTGCTGCCAAGTGTTCTGCACAACCCCACAAAGCCAGATGCAATGGAA CTTTGAAATGCAGATTTGTTGATGGCCTCAGATAGCAGTTTCTGCGCACCTCGAGTGAAG GTGGAAGACAATTTGTTTTGGATTGTTTTGACAATGGTGGGGATCTTTTCATCATCTAGG TTCACAGCACCTGAGTATATTATCTTTTGTCTCAACACCATTCTTAAAGGGTGATGCGCA GCCAAGTTTAACCAAGAATACTCAAGGTCAGACTCGGATGGGGGCTCAACATCCAACAGC TCACAAAGATTTCTTAGTGAAGAGAGGTGCTCACTAGACAAATAGTTTGTTGTGAACTCT TCATGGAGCTGCCCAGTCTTCAACCTATTGTATAGTTTTCTTAGCATAGATCTAATCTTG CTGCAAGCATCAGGAATCAACCCTTCTATTTGTCTCATAATTCTATAACTACGGTTGCCG TCTACCCAGTCCCTGACATCTGTCTCGCAATTCAATAAGAATGGGTCAATGGGGTATCTT GCATATTGCAAAAGACTTAAGGTTCTTTTCTGTATTAAATTGCACAGGTGAACAGGGACA CCATTCGCGACCGACTGATCAATGATTGTGTCAATTGTTTCTGCCAGCTGGTGTGGCTCT TTGCACTTTATATTATGAAGAGCTGCTGCAACGAACTTTGTCAATAATGGCACCTCATCT CCCCAAACAAAAAATCTAGACTTAAACTCTGCAACAAACCTACCAATGACACTCTTAGGG CTCACAAACTTATTAAGTTGGTCACTCATATAATAGTGGAACTCTATTAGAGTCTTAAAT TCTTCTGGGTCTCTTTGCAAAAGCTCTGTGAGAGATTGATCAAAGAGAGAAATTTGATCA TCACTAGAGGTATAAGCATCTATCGTGCCACCACATATACAACTGATAGCATAATTAATG AACCTCTCTGAAATGAGGGCATAAAAATCTGATGTGTTGTGTAATATTCCTTGACCCATG TCAAGTATTGAACTGATATGAGAAGGCACTACGCCGATTTGGAAATTGGAGTAAAAGAAA TCTTCTGTTATTGACTGTTTGGTTTTCTTCCTTAACCCTAGTTGGGCCTTAATGAAAGAC TTCATCATAGCTGTCACCACATTAAAAGGTATTTCTACCATTTTGTGCATATGCCACATA AGTAGGGTTGAAAGATAGTCCCTCCCTTTTATGTCAGCTTGCAAGTCTTTTGAGAGGAAA ATTAAATTCTGTAAGACAGTCAAGAATAAAAATGGACACATCATTGGGCCCCACTTACTA TGATCCATGCTATAGGAGACATGTGCCAATGAAACATTCAATTTCATGGAAAGGATAGCA TTTTCAAATTCCTTCTCGTTGTTCAGACAACTCCCTGATAACTGTAGGCTTATAGCTTCA AAGTAATCTTCTATAAGTCTAGTAAACATCTTTGTTCTAAGATCACCAATATACAATTCT CTGTTACCACCCACCTGTTCTTTGTATGACAAAGAAAACTTAAGCCTTCCTGTATCAGGT CCCACTGAGTCATAAGATTGTGGCGACTCTTGGCTATAAAAACACAAATTTTTCAACATT GCTGTGGTGCAGTTTGTCAGTGACAGAGCCTTACTAAGTGCCTCTGAGTTGCTCTCCCTT TCACTAATTCTTACATCATCAGAGAGCTTGCCCATGTCAAACTTGAAGTTAAGGTTCCTT GACTTATAATGAGTGTACCTCCCCATAAGTGTATTTGCATTCATGATCAAGAGTATGGAC TTAAAACACTGAAAGTATTCATGACTAAAGTATGTCCTTGTTGACACTGCCTTTGTTAAC TCACCAATGGGGCATTGTGACATATGTCCACAGTAAAAATACTTTTCCTTCAACCTACTA TTCTCATAAACAGCATTACAGAATTCTTCATAAAATTTACCTGGTAAGACATCATGGTCA AAGTCTTCAACCATGTGATTGGATAATTCAGCTTTGATCAACCTAATGTAAAACTTATTT GATACAATCTCATCTAGATCATTTATAGATGGCTGGCCATCATCATTAGGGCCTGAGCCC AGTTTGACAGGTTCCCTATACTGATCAACAATTTTTTCAACAGTTTCCTTTAGCTGATCA AAATAATCGCTTGCACCTCCATCGAGTAAGATTTCGTCTAGGTCAGCCCCATTGGCATCA CTTTTGCTCTGTCCAGATCCCAAGACCAGGTTGCTCATTGCCTGCTGTACTTTGTATTCA TAGTCCTGCTTGTTGAGAAGGTACTTTCCCTTTCTTGAGAAGACTTCAGTGAGCTGCGAT ACAGCTAGTGCTGTGAGCTTATTGAAGTCATAGTTTAATATTCTGGAACCATCTGTGTAC TTATTGACAACAACACTCTTGTTACTGGCTAGATCCAAGGCTGTGGCGCAGCCACTGGTG ATGAGAGGATCTTTAATTTCCCTTTTTACTTCCTTCTCCTTAAATAGTGAACCATTGTTA AAAGAGGACGTCAGGAGGGATAAATATTTCTTTGAAACACCAGGCCTTTTATAGTCTGGT CCCTTAACACTAGTGCATCCATCTTTACTTAAAAACTTCTTTGCATTGTAGACCATGTCA TCCAATTCCTCCTCAGTGGCTGTGTCTGCAGGATTAGTGCTCACATGACCAAATCTCACC TTTGGTTCCAGAAACTTTTCAAAACACTTTATCTGATCTGTCAGTCTATCTGGTGTTTCT TTCGTAATGAAGTGGCACATGTAGGAAATATTCAAGATGAACTTGAACCTGTTAGTCATC ATGCTCTTCACATCCTCAGATAAAACCAGGTTCATTAATGTCCTTATTAATCTATAAAGC AGGAACTCAACATCAGTAATTAATTCTTCCCTTATTTTGTCAATAAGGTCCTTATGGTGA TAATCTGACACATAAGCCATTACAAAGTACCTGAGATTTTGGAGGAGCTTTTGAGAACGT TTACTTGGGTGAGCTAAAATTAAAACCAGGATCATCTTTGTCAAAGATCTGATGTTGTTC AACTGCCCTTCCAGCTCACTGCAATCTTCTATCCAAGAAATCATAGTATTCACCGTTGTT TGTAAAACCTCAGCTGAAAATATTGCTGGAAAGTATCTTTTAGGATCAGCATAAAATGAG CACACTTCACCAACTTTGTTATCATTGATGGCATAACACTTCGAGCACTCCCCTGTCTTT TGATAGATCAACTGAAATATAGTATTGCCCAATGAAAACTCTTGACAATATGCTTCTTTG CATCTGACCACTTGATACCTTGCAGGTCCAAATTCATTCTGTCTCAACTTTACGGTCGAT GAGGTTTTCATGGAGTTCACCAAAGCGAGGCTCAATGAAGAAAGTCTCTCTAAATCAGTG GTCTCCAGTAATCCCACATCCCCCATCACATAAGGGAATGTTTCTTCCTCTGCTCTCTGA TAACTGATTGTAGGGACAACTCCAGAGACATCAAAATCCATAATCAAATCATAACTATTA AGGCAAATCACCTCCATATCAATCTTATAGTGGTCAACACTGATCCCAACATCCTTTAAA GCAGTGGTGGCCTTCAAAATGGTTTTCTGGAATATTGAATTGAGAATTTGGTTCTCACTC AAGCACTGGGAGGACTGTGTGGTTCTAGATCTCTCAGCCTGTTGCCTCCGCTCAACCCAT TTTTTGAGATCCCTTTTTGTTGACTCCAAAGAAACTAATCTATCATTAACACTTATGAAG CAAGACCCCAACCACCCTTTTAAACACTTTTGTTTCACTAGATCATGTTTACTTGCAAGG AGAATTAGTGCATCAAAAATCAATAGAAGCTTCCTCCTTGTGTTCAATATCCTCAAAGAT TTTACTTTATTTAAGAATGATCTCCAACATTGCACCTGACATTCTCCAGCAGCTTGGGTT TCCTCTTTCTCATTCCTCTCACCAACATTAGCATACAAAAATCTCAATATTGGCGATGCT CTCTTGAACTGATAAATTAAGTGTTCAATATTGTCTTCCGCAGCTACCTTTTCAGCGTAC AAGTTATTGAGTTCATTAAGTAACTGGTTCTTGTTAACCTTTAAAAACTGACCTTCTATC TCACCTTTTCTCAGTCTGTTCCTAAACACTTGATACTCCTCTTCGATCTGCAGCTTTACT TCATAGGCTGTTAACTTATTATTGATGCCTTGGTGGCATGAGGCAATCACCTCCTCATAA TGATTAGAGCGATTGTCCATCAGAACATTTAAACTCTCCACTCCTGATAGTCTACCTGAA GTCATAGATAAAGATTCACAGAGTCTGCTATACTCTGACTCTTCAAAAAGTGAATTGCTC TCCTGCGCATACTTTAAAAGTGAGAAGAGCGTATCCCTCAGCTTATCATTGACCCAGTCA GGTATTTGTTCATTGTAGAATGATGTTCTCCCGTCTATAAGTGGTATTAAATTGATATCG ACACTCTTCAAGTCTTCTTTCAGCTGCTCCAATTTTTTGAAGTCCTCAATGTACTTCTGC TCAAAGTTAGCAGGAGATGACCTAACAAAACACTCCAGCAATATTAGAACATTGCCCGTC AATTTGTAACCGTCCGGTACCACAAAACATAGTGAAGGAGTCAAGATTCCATGGTCATGG AGAATTCTTTCCACAGATTTGTCCTCACTGTTATGTTCACAACCATTTGCGTTACAAGAA TCAACCTCAATGCAGAGGGACAGGAGTTTCAACCCTTCTATTAATAGCATCCTGGGCTCT GTCTGCACAAGAAATGCCAACTTCTGTCTTGACAATCTCTCGTTGTCCACTAGGTACTTT GATACTAAGTCTTTGACATAGGCTATGTCTTCCTCCATGTTTGGTTGTAAGTATGATGGT CAGAACCTTCAGAACATGTGCTCTGCTAGAGTAACAGTTCACTTTGAGACAGGTTCTCGT AGGAGGCACATAAAAACAAGAGGTAAGAGGTAATTAAAGACAATTTAATAAGATAGCCTT AATGCCTAGGATCCTCG ================================================ FILE: tests/input/TestOrderAndOrient/ref.lasv.nomatch.fasta ================================================ >nomatch.1|LASV-sized-blank-S GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG >nomatch.2|LASV-sized-blank-L GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG ================================================ FILE: tests/input/TestOrderAndOrient/ref.lasv.pinneo.fasta ================================================ >gi|695316025|gb|KM822128.1| Lassa virus strain Pinneo-NIG-1969 segment S glycoprotein precursor (GPC) and nucleoprotein (NP) genes, complete cds CGCACCGGGGATCCTAGGCATTTAGGATTGCGCTTTTAGAGATTCACTACTAGTTAGGAATTCCTAAATC ATGGGGCAGATTATTACATTCTTTCAAGAAGTGCCACATGTAATAGAGGAAGTCATGAACATTGTGCTAA TTGCGCTTTCTCTATTGGCAATCTTGAAGGGCTTGTATAACATCGCTACATGTGGGATTATTGGATTGGT TGCCTTTTTATTCTTGTGTGGCAAGTCTTGTTCCCTAACCCTTAAAGGGGGATATGAGCTGCAAACCTTA GAATTAAATATGGAGACCCTAAACATGACCATGCCCTTATCATGCACCAAGAACAGCAGTCATCATTACA TAAGAGTGGGCAATGAGACTGGATTAGAATTGACTTTAACTAACACCAGCATTATAAATCACAAATTTTG CAACTTATCCGATGCTCACAAAAAGAATCTTTATGATCATGCTCTCATGAGCATCATCTCAACATTCCAT CTATCCATTCCAAACTTCAATCAGTATGAAGCCATGAGTTGTGATTTCAATGGAGGGAAAATCAGTGTGC AATACAACCTCTCTCATTCCTATGCTGGGGATGCGGCCGAACACTGTGGGACAGTTGCCAACGGAGTGTT GCAAACATTTATGAGAATGGCCTGGGGTGGAAGATACATTGCATTAGACTCAGGAAAGGGAAACTGGGAC TGTATAATGACCAGCTACCAGTACCTGATAATTCAAAATACAACATGGGAGGACCACTGCCAATTCTCAA GACCGTCTCCTATCGGGTACCTTGGCCTTTTGTCACAAAGGACAAGAGATATATATATAAGTAGGAGGCT CTTGGGGACCTTCACCTGGACATTGTCAGATTCTGAGGGCAATGAAACACCAGGTGGTTATTGTTTAACC AGGTGGATGCTAATTGAAGCAGAACTCAAGTGTTTTGGGAATACAGCTGTGGCAAAATGCAATGAGAAGC ATGATGAGGAGTTTTGTGACATGCTGAGATTGTTTGATTTCAACAAGCAAGCAATCCGTAGGTTGAAGGC TGAGGCCCAGATGAGTATTCAATTAATAAATAAAGCCGTGAATGCCTTAATCAATGATCAATTAATCATG AAGAACCATTTAAGAGACATCATGGGCATTCCCTACTGCAATTACAGCAAGTATTGGTACCTTAATCATA CTAGTAGCGGGAGAACATCACTACCAAAGTGTTGGCTTATATCCAATGGGTCATATCTAAATGAAACCCA GTTCTCTGATGACATAGAACAGCAAGCCGACAATATGATCACAGAGATGCTTCAGAAAGAATACATTGAA AGACAAGGGAAAACGCCCTTGGGACTAGTGGACATTTTCATCTTTAGCACAAGCTTTTATCTGATCAGCA TTTTCTTGCATTTAATTAAAATCCCTACACATCGACACATCGTTGGGAAACCCTGTCCCAAACCCCATAG ACTAAATCACATGGGAGTATGTTCCTGTGGACTGTACAAACACCCTGGTGTTCCAACAAAGTGGAAGAGA TAGACTCCAAACAGGGAGCCCCCGTGACCCACCGCCAATGGCGGTGGGTCACGGGGGCGTTCATTTACAG AACGACTTTAGGGGTGCTGGTCCTGAAGACCATGTCTCTGGGAAGTACTGCCCTCAGTGTTGTGATGTTC AAACTACCAGTAGTAGCTGCATCAAACATGATGCAGTCCAGTAAAGCGCAATGTGGGGTGATTTCCTCTT TTCCACCCCTCTTTTTCTTCTCAACGACTACTCCCGTGTGCATGTGACACAAGTCTTTGTATTGGTCCCA CACAGCATTTTCAAACTTCCTTGAATCTGCTTTGCTCAAAGAAATATCAATCAATTTGATGTCTCTTCTC CCTTGAGACTCCAACAGCTTTTTGATGTCATCTGACCCCTGGCAGGTCAACACCATATTGCGGGGAAGTG CCTCTATGACAGCACTTGTCAGCCCGGGTTGTGTGGAAAAAAGATCTGTAACATCTATCCCATGTGAGTA CTTAGCATCCTGTTTGAATTGCTTAAGGTCAGTAGGTTCTCTAAAAAAGTGTATGTAACAACCAGAGCTT GGTTGAAACAAAGCAATCTCCACTGGGTCTTCAGGCCTGCCCTCAATATCTATCCATGTTTTGCTACTTG GGTCCAACTGTAACATACAATCTTTTAGTGTCATCAGTTGAGAATAGGTCAACCCAGCATTTAGACCTGC AGCCTGCAAGCTTTTATTGGAACCAGCGCTATTTAGTTTCGGTGGTTTGTTGTCAGATTCCAAATCAACA AGAGTGTTTTCCCAAGCTCTCCCAGTAATTGATGTTCTTGATGCAATATACGGCCAACCTTCACCTGAAA GGCAGATCTTATAGAGGATGTTCTCATATGGGTTTCTTTCACCAGGAGTGTCAGAAATGAACATTCCCAG TGATCTTTTGACCTTCAGAATAGATTTCAAAATACCGTCCATTGTTTGTGGTGACACTTTTATTGTTTCC AACATGTTGCCCCCATCAAGCATGCAAGCACCAGCTTTAACTGCAGCCCCCAGACTGAAGTTGTAACCTG AGATGTTCAGGGAACTCTTTTTTGTGTCAACCATTCCTAGTATAGGGTGACTCTGAGTGAGCATGTCTAG ATCTGAAGAGTTCGGGTACTTTGCTGTGTAAATCAAACCTAAATCTGTTAAAGCTTGCACAGCATCATTG AGGTCCACTTGCCCTTGTTTGGTGAGGCACGCCAAGGTGAGGCTTGGCATGGTTCCAAATTGGTTATTGA GTAATTCTGCATTTTTTACGTCCCAAACCCTGACGACACCATCCCCACCTGTCCTATTTCCTTGAGGTCC ACCTGACATCCCAATCATGCTCAAGAGAGCCCTCCTTTGATCAAGCTGTTGTGAGCTTAAATTCCCCATG TAAACACCTGAGCTCAAAGGCCTTTCTGTCCTTATGACTTTGGACTTGAGTTTTTCCAGGTCCGCTGCCA AAGTTATTAGATCATCTGAACTCAAGGTGCCGACCCTTAAGACATTCTTCTGTTGAGTTGACTTCAGTTC AACAAGATTGTTGACAGCTTGATTCAGATCCCTCAGTCGCTTTAGGTCTGCATCATCTCTCTTCTGCTTG CGCATCAGCCTCTGCACATTGCTGACCTCAGAAAAGTCAAGGCCATGCAGGAGAGCCTGAGCATCTTTGA CAACTTGCAACTTTATGTTAGAACAGTAACCAGATAGTTCCCTTCGTAAGGACTGAGTCCAAAGGAATGA TTTGATTTCCTTGGAGTTGCTCATTGCTGATGTGCTTGGAGCAACCTAAAGGTGGAGTGACAAGTGGTTC TGTAAGAGTCACTTTACTCTGCACAATTATCACAAAGCGCAATCCAATCGCCTAGGATCCACTGTGCG >gi|695316022|gb|KM822127.1| Lassa virus strain Pinneo-NIG-1969 segment L Z protein (Z) and polymerase (L) genes, complete cds CACCAACCCCAGCAGAGAGCCCCCACAACACAGCCAAGCCCACCCAGCCCCCAGAACCGCCCACATCAGC AGGCATGGGCAACAAGCAGACCAGGTCCCCACCCAAACCAGAGCACCCCAGACCAACCCTGCTACCCGAC GCATCCCACCTGGGCCCCCAATTCTGCAAGAGCTGCTGGTTTGAGAACAAGGGACTGGTGGAGTGTAATA ACCATTACCTCTGTCTAAACTGTCTCACACTGCTTCTCAGCGTGAGCGACAGATGTCCTATTTGTAAGAT GCCCCTCCCCACCAAGCTGGCAGTCCGAACCCAACCAAGTGCACCCCCACTCAACCAGGGCAACACTCAA TCCTCCCCGCCCCCCTACAGCCCCTAACTCTCCCAAGACGGGCCCGCACCCCACACCCAGGAACCCAACC AAACACACACACACAGACAAACACATAGAAAGACACACACACACGCACACACACCCACAGTCCCCACCCG CACCCCCGGGGGGACCCCCCGCCGGGGGCCCCCCCGGGGGGCTCAGAGGCTGGCATCACTCAATGTCCTC TACCTGCACCAGTGTGTCGAACAATTTAATGCACGTCCTTCCCTTCAATCTCAGCTTTCCACTGCTTGAC TGGATCATCACTTCTTTTAGTGACTTACTATAACACAGTGAGTAGCCCTTGAAATCCACCCAGTCACCAA CTGCTTCAAGAAGCCGAACAAGAATTGGTCTTTGCAATTCTAACACAGTCTTCTTCAACACAGAAACAAT GTCGACATCCACCCAGTGCTTCTTGAGCTTCAATCTGTCAGAAAACATTGAGATCAGTGCCTCTATCAAA AGATCTTGGGAACCATCCCTAACCTCCCTTATGAACAACTCCAAGTCTTGATCGTGAATTGCTGGGGTAA AAGTAGCAAGTCTGCTGTCACATTCCCAAAGGGCTCCTCTACTGATCACTAATGGTACAGGTTCAATTTC AGGCCCCACCAGTGTGAAATCATACTGTGAAAACTGCAGCTTCCTCAGATCAACAACTATCTCAATGGGG GTTACAGGCCCTAATTCTTTAGTGTCCTCTAGGAACTCATTAATGACCTCAGTATCGACAAACCATGCAG ATTTCCCCTTGAAAACAGATCCAGACAGCACAAGCCTCCAGCAGTCAGGCAGCACACATTGGTTGACTGA TCCGGAAAACATGGCTTCAACATTATCAACTAAATACTTACCCTGATGATTTATTGAGCCAATGAAATTA AGATGAATAGAAAAATTTTCTTTAAAACTTGCGTCTTGGCTTCTGATTTGGAATCTTATTGTCTGGCTGA ATCTCACTGAACCAACTGGTAGTTCACTGATTCCATCTAAGAAGTCTTCAAGACATTTAAATTTGACATC AGTTAACCCACACATGATCAACTGACTGTAATTGAGTTTTGCTGGTTCTAAATCATAATCAATCCATGCA TAACCCATCATCAAATCATATTTGAACATAGGTCTTTCTATACCTTTGTATACCACCTTCTCAACAAAAG AGGAAAAGGGGCCAAGTCTCTGCAAACCTTCACCCTCTGGGATAGAGGTTTTATGAGGGAACCATGTAAA TGATCCAAGCGTTCTAGTTGTTGCAACAAACGATCTGATGTACGACTCAAAATAAATCTGTCTCATAAAA TTATCAACAACGTCACTCGAGCTGACAACCCTTTCTTCTATCATGGGTTCATGTGTCCTGGTGTGTGACA ATCTCAGCTCAGATGAAAGCACTATGTAGTGTTCCTCTCTCTTCCACTTCACTATGTGCGAGACAAGAGA TAGTGCCTCGCAATTCACATCTAGTGCAACACAAAGATCTAGAAATTTAATTCTAGGTGACCACTTCATT TTAGTCGAGGCCAAATCACTCATGAAGGGCAACAAATGTTTCTCAAACAGACTGGGGTACAGTCTCCTTA ATGAGTGTATTATATGGTTCATGCCAACTCTATCTTCTAGCAATTTAGAAGCAGTAGGTTTTAAGGGAAA GTAGTCACATGGGTTATGTTTGAAAAACTCCAGCTGTCCTGCTGGCTTAGGGTTCCCTAGAACCCATGCC CCCAACTCTATCGCTGTTGATAATGAAATGCACATATAATCCCATAACAAAGATCTGAAATAAGATAGGA CACTCTTCCCTTCAGACTCTTCTCTTACCCTCATTGGGACCCTCCAAATCTGGACTCCAAGGTCGTTAGT TAAACACTCAACGCCCTGAATTGCCAGGACCTCAGATTGCAGTGATTTGATGTATAGGTTTTCCTTGTTA GACCCCCTCACACACTTGCTGCCAAGTGTTCTGCATAATCCTACAAAGCCTGAAGCGATTGAACTTTGGA AAGCAGATTTATTTATGGCCTCAGATAGCAGTTTCTGAGCTCCTCTAGTGAATGTAGAAGACAATTTATT CTGAATGGTTTTCACTATTGTTGGTATTCTCTCATCATCTAAACTCACTGCCCCAGCATAAATCACCTTC TGTCTCAGCACCATTCTTAATGGGTGATGTGTAGCCAGATTCAACCAACAAATTTCTAGATCAGAGTCAT CCAACATCTCAGTACCCATTAACTCGCATAAATTCCTTAATGAAGAAACATGTTCACCTGACAGATAATT GGTGGTAAATTCCTCATGCAACTCACCTGTCTTTAATTTGTTAAACAACTTTCTTAGCATTGATCTTACC TTACTACAAGCCTCTGGGGCCAACTCTTCAATCAGTCTCATGATCCTGTAACTACGGTTGCCGTCAACCC AATCCCTAACATCTGTGTTGCAATTGAGTAAGAATGGGTCAATGGGGTACCTCGCATACTTCAGCAAGTT CAAAGTTCTCTTCTGAATAAGATTACATAGGCTAACTGGAACACCGTTAGCAATGGACTGATCAATTATG GTGTCAATTGTCTCTGCTAACTGGTGTGGTTCTTTACACTTAACATTATGTAGCGCAGCAGCCACAAACT TCGTCAAGAGGGGAACCTCATCACCCCAGACATAAAATCTTGATTTAAATTCTGCTACAAATCTTCCAAT CACACTTTTCGGGCTGACAAACTTATTTAACTGATCACTCATATAGTAATGAAATTCTAACAGGGTTTTA AACTCATCTTGGTCTCTAGACATTAACTCTGTCAGGTTCTGGTCAAAAAGAGAAATTTGGTCATCACTAG AAGTGTAAGCATCAACTTGCCCTCCACAAACACAACTCACAGCATAGTTTATAAATCTCTCCGAAATGAG TCCATAAAAGTCTGAAGTGTTGTGCAGAATACCTTGCCCCATGTCAAGGATGGAACTTATATGAGATGGC ACAACACCCAAATGAAAGTTTGAGTAAAAGAAATCTTCTGTTAGTGTCTGAGATGTACTCTTTCTCAACC CAAGTTGTGCCTTTATATAAGATTTCATCATTGCTGACACTACATTAAAGGGAATTTCTACCATCTTGTG CATGTGCCATGCCAATAGTGTTGAGAGATAATCCTTTCCTTTGGCATCAGCCTGAGTGTCCCCAGTGAGT AGAATTAAGTTCTGTAGGGTTGCAAGGAATAGGAATGGGCACATCATAGGACCCCATTTGCTGTGGTCCA TGCTGTAGGATACATGTGCTTGTGAGACATTTAATTTCATTGACAAAATTGCATTCTCAAACTCTCTTTC ATCATTTAAACAACTTCCCGAGAATTGCGTCGTCAATGCTTCAAAATAATCCTCTATCAATCTTGTGAAC ATTTTGGTCCTAAGGTCTCCAATATAAAGTTCTCTATTACCTCCAACCTGCTCTTTGTATGACAGCGAGA ATTTTAGTCTCCCTGTATCAGGACCAACTGAGTTGAATGATTGTGGAGATTCCTGGCTATAAAAACACAG ATTTTTCAACATGGCAGTTGTGCAATTTGTTAGTGAGAGTGCTTTACTAAGTGCTTCGGAGTTGCTCTCT CTTTCACTTATTCTAGTGTCGGTTGACAGTTTGTCTGTGTCAAATTTGAAATTGAGACACTTCGACTTAT AGTGGGTATACCTCCCCATCAACCTGTTGCCATTCATCAACAAGAGAATTGATTTGAAACACAGGAAATA TTCCTGATCTGAATAAGTCCTGGTTACAACTGCTTTTGTTAGTTCACCAATAGGGCAAGACACCATGGGT CCACAATAAAAGTACTTCTGCTTAAACTCTTGGTGGTGATACACTATGTCACAGAACTCTTTATAAAAAG TGTCAGGGAGTGTGTTATAATCAAAGTCCTCCACCATGTGGTTTGAGAGTTCCCCTTTAATCAATCTGAT GTACAGTTTTTCCTTAACAATCTCATTTAAATCGTCAATTGAACAAATCTCCCCGGTTGTTGAGCGCTGG TCCGGTCCTTTCAGATCTCTATACTGATCCACAATTTTTTCTATAGTTTCTTTTAACTCATCAAAATATG ACATCGCATTCCCTTCAAGCAATATCTCATCCAGGTCGGCCCTGTCTGTTTCTACATCTTTCCCTTGAGA CCCCAAAACCAAATTGCTCATAGCCTGCTGGACTTTGTACTCATAGTCTTGCTTATCTAATAAATACTTA CCTTTCCTTGAAAAAACCTCGGTCAATTGTGTAACTGCTAAGGCTGTTAGCTTGTTGAAATCATAATTTA AGACCCTACATCCATCTGTGTACTTATTAATCACAACACTCTTATTGCTTGCCAGATCTAAAGCAGTCGC ACAGCCACTGGTTGACAGAGGGTCTTTTAATTCTTTCCTCACTTCTTTTCCTTTAAAGAGTGAACCATTG TTAAAAGAAGATGTAAGCAAGGACAAGTACTTCTTGGAGACACCAGGTTTCTTGTACCTTATTTCAGCTG ATTCCACACAGCATTCCTTACCTAAGAACTTTTTAGCGTTGTACACCATTTCACTCAACTCATCCGACTC TGCATGATCCAGAGGATTGACGCTAACATGCCCAAACTCTAGTTTTGGTTCTAAGAATTTCTCAAAGCAC TTGATCTGATCTGTTAGTCTATCAGGGGTTTCCTTAGTGATAAAATGACACATGTAAGAAATGTTCAAAA CAAATTTGAACCTGTTTGTTAGCATACTAGTCACATTAGGAGATAAAACAGTGCTTAACAGGGCTCTTAC CACTCTGAAAAGCAAGTACTCAACATCTGTAATCAGCTTCTCTTTGATCTTGTTGATTAAGTCTTTGTGA TAATAATCAGAGACAAAGGCCATTATGAAGTATCTAAGATTTTGCAAAAACTTCTGACATCGCTTACTAG GGTGGGTCAAGATTAAAACCAAAATCATTTTGGTTAGCACTTTAATTGAGGATATATCATCCTTAAGCTC AGAACAATCTTCAATCCAGCTGACCATGACTTCTACCACCTTTGTCAGAACTTCACTGGAAAAGATTGCG GGGAAAAACCTCTTGGGATCCGCATAAAAGGAACAGACTTCACCAACTAAGTTGTTGTTTACCGCATAAC ATTTTGAACACTCGCCCGTTTTTTGATAAAGTAAGCTATATTCCACTCCATCTATGAAGAACTGTTGACA GTATGCTTCTTTGCATCTTACCTTCTGGTATCTTGCTGCTCCAAGCTCATTTTGCCTCAACTTAACAGTG GAGGAAGTCTTCATTGAATTCACCAATGCAAGACTCAATGTTGAGAGCCTTTCAAGATCAGCTGACTCTG AAACGCTCACTGTGCCCATTGAGTAGGGAAACAGTCCTTCGTCAGACTTTTGATAAGACATTGTTGGCAC AACACCTGATGCCTCACAGTTCATAACTTTACTAAATACATGCCCATCCAGAATTGTTAGATCAACCCCA TAGGTGTCCACATTTACATTTAGGTCTTTGAGGGCACTTATTGCTTTGGTAACAGTTTTCTGCAACATGC AACTCAAGATTTGATTTCTATCTAATCTAACGGAGTGAGTGCTTGATGCTGATTTTGAACATTCAGATTG CAATCTTCTATCAACCCACCTTTTCAGGTCCCTCTTAGTGTATTCTAAAGACACCAAGCGGTCATTCACA CTGATAAAACTGGATCCTAACCAGCCTTCCTGAGCTTGATCTTCACATTTAATCTTGTCCCTCTCATAAG CAAGGAGAATCATTACATCAAAAATCAATAGAAGTTTCCTTCTTGTGTTCAAAATTCTCAAAGATTTGAC TTTGTTGAGGAATGACCTCCAACAATGCATCTGACTGCTGTTTGTGGGTGATGATCTATCAACCCCATTG GTTAAATCTGCATACAAGAATTTCAACACAGGAGAGGCTCTTTTAAAGGAATACATCAATTCTTCCACTC CATCTTCATTAGAAACCATTTCAGAATCATACAAGCAGTGAAATTCTTTTAACAGTCTTTCTTTGTCAAC TTTAACAAATTGATCTTCTATTTGGCCCTGCCTTAACTTGTTTCTGAATATCTGATACTCCTCCTCAATC TGATTCTTAACCTCATGGGCAGTCATTTTGTTGTTGATGCCTTGATGGCAGCTGGCAATTATATCATCAA AATGGTTGGTTCGTTTATCTAATAACACATTGATGCTTTCTATACCTGAAAACCGGCTAGTGCTGACTGA AAGAGATTCGCATAATCTAGAGTACTCAGACTCTTCAAAGAGTGAATTGCTCTCCTGAGCATATTTCATC AAGGAGAATAGTGTATCTCTGAGTTTGTCATTCACCCAGTCCGGAATTTGTTCATTATAAAATGTAGTTC TTCCGTCAATAAGTGGTATTAGGTTTATATCAATTGACTTCAAGTCATTCTTTAGTTGCTCTAACTTCTT TAAGTCCTCTAGGTACTTCTGCTCAAAGTTCACTGGGGATGATCTCACAAAGCACTCAAGGAGTATGAGG ACATTCCCATTCAATTTGAAGCCATCAGGCACAACAAAGCATAATGATGGTGTTAAAATCCCTAATTCAT GGAGAATTACCTCAACAGAGCGTGCATTGCTGTTGTGCTCACAACCATTGGCCTTGCAGGAATCAACCTC TATACATAAGGATAAAAGTTTTAGTCCTTCCATCAACAACATCCTCGGCTCAGTCTGCACCAAGAATGCC AATTTTTGTCTAGATAATCTCTCATCATCAGAAAGATATTTTGAAACAAGATCTTTTACATAAGCTATCT CCTCCTCCATTAAAGAAGTTGTCAACAATAGAGCGTCTAAATGCCTAGGATCCTCGGTGCGC ================================================ FILE: tests/input/TestOrderAndOrient/refs.ebov.fasta ================================================ >KX009902.1 Zaire ebolavirus isolate Ebola virus/H.sapiens-wt/LBR/2014/Makona-CDC/NIH-1122, partial genome TTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAAT TGAAATTGTTACTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGT CTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCCTTATCACAT CACAAGTTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAG CATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACT GGAGACTCAACAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCA CAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATG GATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAG TGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTT TCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTT TTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATG GAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGC CATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCG AAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAG GACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAAC AAATTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGAT GCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATC ATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGA GGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTT TTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAG TCGCCACAGCCCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGC AGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGAT GATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACG CGATGGTAACTCTCAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAA AACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCT GGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGATG ATGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTTGGTCCTATT CGATCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAA AACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCC CTCGCAGAACAATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTC AACCAGCCCTCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACG TCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCA CTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACA AGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAG GAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGG ATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATA TCCACCATGGCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAA TTTTATTGGCCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCA TGTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAAT TTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTT ATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAG CCATAATGGTAACTCAATATCTTAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTA CCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAAC CTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGC TGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAA TGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACAT CTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCG AAGATGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACAT TGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAG TCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCT GAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTG AGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGG TAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACC ACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATG ATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAG CAATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCC CTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTC GAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGG TTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCC CTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACA CTTGTGAGTATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTA GCAGCTTTAAAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAAC CCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCA TCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATA TATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTC CTGACACCGGAGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCG ACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATC GGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTAC AGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCA ATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGG AAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTG ACAGCACTCAAACTGATCACTCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAA ATGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGG GAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGAC TTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACA AGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACAT TGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCT CCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCT TCTCAGGGATAGTGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATAT ACTAAAGGTGCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATAT ACCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCA ATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTTATCCTCAAATTGCCTACAT GCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAA GTTGTTCACAATCTAAGTACAGACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGA CAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAA TTGGATAACCAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATA TTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAA CATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACAAACTAGTTTG TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCA ACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATG AAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACC AGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCA TGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTA TCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTT CTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACC ACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGA CCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAG TGGGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGG GAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGC TGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAAC ACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAG GAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAAC CAAAACAGGTCCGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAA GTTGGACAACATCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAG CCGGACCCTTAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGAC AAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGT GCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGA GAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTAC TCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTAC ACAGAGGGGCTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTC AAGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAAT TGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACAT GATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGG ACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGG TGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTT CACGGCAAAACTCAACCTCAAATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTA CTTGACAAATGATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTC ACAGTTAATCATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAATGATAAACTTGATGAAGAT TAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTT AATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCAAACCGGTAGAATTTAGTTG TAACCTAACACACACAAAGCATTGGTAAAAAAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTT AAATGGAAGCTTCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCA CCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCA CAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAG ACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGA AAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTA AATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTC CCAAAATTACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGA GGATTCCAAATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTG AGTCTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAG TATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACA ATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTC GTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACAT GCTCATGATCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCAC AATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAA TCACTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAAGAGGTATGATATAACCCAA ACATTGACCAAAGAAAATCATAATCTCGTATCGCTCGCAATATAACCTGCCAAGCATACCTCTTGCACAA AGTGATTCTTGTACACAAATAATGTTTGACTCTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAA GTATTTTATGATTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCT TCAAGTTGTGGAGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATA TTGTTCTTGTTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTC TGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATAC TATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCTGTATACCAGTTGCCCCTGAGATACGCCACAA AAGTGTCTCTGAGCTAAAGTGGTCTGTACACATCTCATACATTGTATTAGGGGCAATAATATCTAATTGA ACTTAGCCATTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAG AAGCCCACCTACAACGAACATTACTTTGAGCGCCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAAT CGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGC AAGACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGG AGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTA TTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGAC TTTGCCCCTGCATGGTCAATGACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTG AATCACCGCTGTGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTT GATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTC AACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTC TCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAATGGATTATTGAGCAGTATTGAAAT TGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCC GACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGA AAGCATTTACACAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTAT CTAACTAAGATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACTTGACATCTC TGCCTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACA GATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAA ATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATATTAATAAGCATTTTATCACTAGAAATCC AATATACGAAATGGTTAATTGTAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATAT TACTAACTCCATACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAA AACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCT ACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTTGTCA CTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACA TATATACCGTTTAAAATATGATGTAACTGTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCC ATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGT GCCAACAGTTCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAA AAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGC AATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATC GAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGT TTTTTGGAAGATCCCAATTTCACTGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGG TATCAGACATCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATG TCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGT TGAGGACCCAGTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTAC TTACTCTCCATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAA TTCAATTGTGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCA CACCCTGGAAGAAATTACAGAAATACGTGCACTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCAT AGAACATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGG GGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATT ACGCCCTATCGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTATTTTGATAGT CAAGGATCTTGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAA ATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTATGGGAATTTTACCACCTTGACCATCCTCCACT TTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACA TGCTGGGATGCAGTATTCGAGCCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTG TACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGA GTATCTACTACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACT TTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTG CTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGC ATCATGGCACCACACAAGTGATGATTTCGGTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGAT TTAGAGAAATACAATCTTGCATTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCT ATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTA TTATAATCCACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGG GGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTT TAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTT ATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTG GCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATT CAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGC TACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGTACT GCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGT TCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTTAATAAAGGTTTTGACCTTGGACAGTTAAC ACTCGGCAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTA TCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGT TAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAA CTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCA TTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTC ATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCG TTTCGCAGCCGATATATTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGA ACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGA AGATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGC TTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTA GAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAAC CCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGT CAAGAAACATATTGTTAGTGCATGGCCAAATGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCA TACATTGGATCAAGGACAGAAGATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCT TAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCT AATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACAT TACTCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGA GTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGC ACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGA AACACTGAGGCTACAGATATCCAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGG TACCAGCTCAGTACTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATT GATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCATTTTTCCAA GGCAAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTA AGACCATCATGCAATCAATTATTTCAGATAGCAATAATTCGTCTACAGACCCAATTAGCAGTGGAGAAAC AAGATCATTCACTACCCATTTCTTAACTTATCCCAAAATAGGACTTCTGTACAGTTTTGGGGCCTTTGTA AGTTATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAA CTACCCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGT TATGTCACGATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGA CTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAGGAATGGA TAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCATTAGAGGGTCAAAATCCAACACCTGT TAATAATTTCCTCCATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACT ACCATAAATGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCT TCCATGCGTCATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTC TTCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACCACCAGAGAT CCACATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATAAAAAGAACGACAATTCCAC AAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCC AAAACTAAATTTCGATAGATCGAGACACAATGTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAA GGTCATCAAATAATCTCACATCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAA CGTCATCCAATGAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGA TACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGG GAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTC AGAAATACCAAGTTAAGACCTTATTCTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGT ATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATT ATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAA GGCTACCTAGGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATT GTACGAAGCTGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAA GTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGT ATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATC AACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTG CAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCT ATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAG AGGTCCACTAGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAATGAT TATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAA AACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACAAGCATTAAAACATAATGGGACATGGCAAGC TGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGT GAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAA GGCTGACAGGGCTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTAT TTTGATACTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCA TCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTATACACTATATTTGG CCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAGCATGTGTGACATATTACTGCTGCAATGAGT CTAACGCAACATAATAAACTCCGCACTCTTTATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTT ATTGATATAGTAATGTTGTATCAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTT AAAACAAAACTGATCTTTAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATG GTGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACANNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNATGATAAAANTNAAAGANAAGACATNACTGTAAANNNNGAAATACCTTCTTTAC AATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGGCATTGACCACGCTCATCAGAAGGC TCACTAGAATAAACGTTGC >KM034550.1 Zaire ebolavirus isolate Ebola virus/H.sapiens-wt/SLE/2014/Makona-EM095, complete genome GAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGT TACTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGG GGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTC CGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTC ACAGTCAAACAAGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCA ACAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCC GAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCAC AAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAG TAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAG TGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAA AGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGC GCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGA AGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTA GTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATAC AATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTT GATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATT TCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTAC AAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTC CTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTT TCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAG CCCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGA GGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAA AAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAA CTCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGG ACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAA GATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGACCCCGATGATGGAGGCT ACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGA CGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAA AAGGGCCAGCATACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAA CAATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCC TCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTT CCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCC CACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGA CCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTAT CGCCACATTCTAAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTG TAGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATG GCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGG CCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAAT GGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGT CTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACT AGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGG TAACTCAATATCTTAGCCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGC CTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCAT CCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAAC AAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCC CTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGA TATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGC AACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCAT TGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAA TGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTT GCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATT GGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGA ATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTA ACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGC CTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATT GGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAA ATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACA TTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATG TGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAG AGGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGT ATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTA AAGATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAA AAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAA CGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGC CATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCG GAGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCA GCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAA AGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGAC TCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTG TCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGC TTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTC AAACTGATCACTCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGT TGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGG GAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATC GTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCG GTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGA CCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGT CTTCCAGCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGA TAGTGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGT GCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTT TAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGA TTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATC TGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCAC AATCTAAGTACAGACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCG TAATCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAAC CAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTA CCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCA TCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAA ACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTG CCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTG AATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCC AGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGA GACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAG GAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTC ACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGA TATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCC AACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAG GAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCC TTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAA CGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAAT GAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAG CTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGG TCCGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAA CATCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCT TAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCA AAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGC GGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTC GAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGA AGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGG CTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCC AACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCT GCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACC AAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGG ACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAAT TGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAA ACTCAACCTCAAATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAA TGATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAAT CATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAATGATAAACTTGATGAAGATTAAGAAAAA GGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAA GGAAAAAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAAC ACACACAAAGCATTGGTAAAAAAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAG CTTCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCG AGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGC GTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTC CGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAAC TGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACT GCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTA CCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAA ATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTG TGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAAC GATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAAT TATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCA GGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGT CTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCG TATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCA TTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAAGAGGTATGATATAACCCAAACATTGACC AAAGAAAATCATAATCTCGTATCGCTCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCT TGTACACAAATAATGTTTGACTCTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTAT GATTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGT GGAGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTG TTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATGAGAA TAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATACTATTTCAGG ATAGTCCAGCTAGTGACACGTCTTTTAGCTGTATACCAGNNNNNNNNNNNNNNNNNNNNNNAAGTGTCTC TGAGCTAAAGTGGTCTGTACACATCTCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCA TTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACC TACAACGAACATTACTTTGAGCGCCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAA GGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGA GAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGG TTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGG TATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCT GCATGGTCAATGACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGC TGTGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACC CTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGA ACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTA TTAACAAATTGGATGCTCTACATGTCGTGAACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCA AAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCG GCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTA CACAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAG ATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACTTGACATCTCTGCCTTCAT AATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCC TCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGAT TCCAAGACAACATCATAGAATTGCTTTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGA AATGGTTAATTGTAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTC CATACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTA TTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACAT ACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTTGTCACTAGAGCTT GCGGGTTGTATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCG TTTAAAATATGATGTAACTGTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTC ATAGTCCCAATTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGT TCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGG TGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAATGAATTT TTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACT CTAGATCAACGTGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAA GATCCCAATTTCACTGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACA TCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAA TGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCC AGTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCC ATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAATTCAATTGT GCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGA AGAAATTACAGAAATACGTGCACTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTG ATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTG TGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTAT CGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAAGGATCT TGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCC CTCCGTTGCCAATGATTAAAGAACTGCTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAAC CAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGAT GCAGTATTCGAGCCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAAC AATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACT ACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAA TTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCAT TTCCTAGCAATATGATGGTAGTTACGGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCA CCACACAAGTGATGATTTCGGTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAA TACAATCTTGCATTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTA AGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCC ACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGTCATATG GGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAA TTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTT CCCCTTAGAGACTGATGCAGGCGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGC CTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTA TCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAAT GGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCTTTTGAG CGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGG TGAGAATCTTGCAATATCATCACCTCGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAA ACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTG AATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTT ATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGC CATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTTCTGCGC CAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAG CTGACTTCGAAGACGAAATGGTTTGTAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGC CGATATATTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACA TTATTAGCCTCTAAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACAT TGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCA AATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGA CCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAAC AATGTCCGCAGTGTTCAAATGCCAAGCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACA TATTGTTAGTGCATGGCCAAATGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGA TCAAGGACAGAAGATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGG CCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACC ATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCGGGA AATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAG CAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAG CAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAG GCTACAGATATCCAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTC AGTACTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGA CAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCATTTTTCCAAGGCAAACAG CTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTAAGACCATCA TGCAATCAATTATTTCAGATAGCAATAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATT CACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTAT CTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAA TTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACG ATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGAT GCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAGGAATGGATAATTAATC GCGGAACAATTGTCCCTTTATGGATAGTATATCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTT CCTCCATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAAT GATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGT CATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGG ATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGAT GGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAGAACA CGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAA TTTCGATAGATCGAGACACAATGTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAA ATAATCTCACATCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCA ATGAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGT TTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAG AATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACC AAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAAT GACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAAC AACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTA GGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGC TGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTA AGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGTATTTAATTA AGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACG TAAGATGCCACACCAAAACCATCTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAA CGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCC TTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACT AGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTATAATCAA CAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCA ATGATTATTTAAAATTCTTTCTTATTGTACAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAA GAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGT TTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAG GGCTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACT TGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATCTTGATCT GATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTATACACTATATTTGGCCTCTCTCC CTGCGTGATAATCAAAAAATTCACAATACAGCATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAA CATAATAAACTCCGCACTCTTTATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATA GTAATGTTGTATCAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAA CTGATCTTTAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCC TTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTCC ATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAATCAGAAATACCTTCTTTACAATATAGCA GACTAGATAATAATCTTCGTGTTAATGATAATTAAGGCATTGACCACGCTCATCAGAAGGCTCACTAGAA TAAACGTTGCAAAAAGGATCCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCT TTTTTGTGTGT >KT765130.1 Zaire ebolavirus isolate H.sapiens-wt/GIN/2014/Makona-Conakry-CREMS-1022, complete genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAA TTTTCCTCTCATTGAAATTTATATCAGAATTTAAATTGAAATTGTTACTGTAATCATACCTGGTTTGTTT CAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGT TGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCC AACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGGGAA TTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAAAAC ATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAA GTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCG TTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCA ACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTT TGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAG GGCACGGGTTCCGTTTTGAAGTCAAGAAGTGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGT ATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGCC GGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGA AGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGT AGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAA GGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTT TTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCT CCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTG GCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATG GTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGT AAATGTTGGAGAACAGTATCAACGGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATAT GCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAGCTTCCATC AGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGCCAA GCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATT CCCTTTCCAGGACCCATCAATGATGACAACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGG ATACGACCATTCCCGATGTGGTAGTTGACCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGA AAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCA GTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGAC AGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCCACT CACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACCCCAATCAACGAA GAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTTGCCTTCCGCCCTTAGAGTCAGATGATGAAG AACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCA CTCCGAAAAGAAAGAACTCCTGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAAGAACCAA GACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCTCCACATTCTAAGATCACAGGGGC CATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAA AGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAAT GATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAAT TCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCT AACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAAT AAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGA GTCTTAATGCAAATAAGCGTTAAACCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCGATT TATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTT TATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGC ACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCA GGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGA GCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGC TACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAA TTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAAC CATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATG GCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGA CAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACC TGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAA AGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTG ACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCA ATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAG GCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCC AAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTT GCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAA ACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAA CTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCAA TTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAAGATAAATGTAATAGGAGCTATAC CTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCT ACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATAT GAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCA ACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCAT CGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATC AGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATT TGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTG CTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGG AATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCA CCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTG CTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCC AAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCG GAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATA TCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGG ACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACC ATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAAT TGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAATAATC CGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTCTTTTCTT TCGTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCA TGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGC ACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGAT TGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTC TAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATT TGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCTTCACTAGAAGGATA TTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACAT CATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAG TACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGA TCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCT TCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCT TGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGG TGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTG CTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGT TGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAAT GCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTA ATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACA GTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATT TGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCAC TAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAG AGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAG AAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCT TGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAATACA CCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAACGACA GCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAGAACACCAACACGAG TAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCCAAACTACAGCGAGACTGCTGGCAAC AACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATA CTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCA ACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGG ATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTTTAA TCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGA GCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGC CACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATC AGATTATTCATGATTTTGTTGATAAAACTCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATG GAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGCTTTATTCTGTATA TGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAACTCAACCTCAAATCAATGAAACTA GGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAATGATAACATAATACACTGGAGCTTC AAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCT AGCTATATCTTTAAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTC TTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTG TAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCATTGGTAAAAAAGT CAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCTTCATATGAGAGAGGACGCCCCCG AGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAAT TATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGA GAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTG TGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTAATC GCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAA ATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCCAAAATTACCTTGTTGACACTGATCAAGACGGC AGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAAATTAAGGGCATTGTTAACTCTATGT GCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAG GGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAG TTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAAT ATCGCTCTCCAGTTACCGTGTGAGAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAAT CAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGG CTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTTAATC AAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAA TTGCCTTAATATATAAAGAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGC TCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACTCTA CAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATGATCTCTTAAAATA TTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCTATGGTATTCGCTAT TGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAGGAGGTATATTGTGACCGGA AAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCC CCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTT TAGCTGTATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACACATC TCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAGTGCATAAATCTGG GCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACATTACTTTGAGCACC CTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGT CTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGG GACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTT CTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAA GGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAACCTAT TTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTGTGGGCACTGAGAGTCATCCTTGC AGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATC TCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGA GCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGT CGTGAACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGA ACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGC CGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCGACACGAATGCA AAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGGGCTAAC TCATATATGCTGACTCAATAGTTAACTTGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAAT AAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTG ACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCT TTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTGTAACTAAACCCGC AGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCATACTCGTAACTAACATTAGATAA GTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGA AGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTAT CATCACCAATTGTATTGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCT TAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTTACC AAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCAC TATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATTATTAAGTACAC AATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGAC CACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATG ACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGA TGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCACTG AACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAAGAAGCGGTTCAAG GGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATGTGCAAAGATTTAATTACATGTCG ATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCCAGTTTGCTCTGATTATCCCAATTTT AAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAA TCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGG CCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCACTA AAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAAC AACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCA AAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATCGTGATTTTCGAGACATATTGTGTT TTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGAA ATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACT GCTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATT TTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTGG GATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTC TATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATATCGGAATTTTTCTTTC TCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTC AAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTAC GGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGTGAG CATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGGTATGAAT TTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTA TACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCGCATAACCTCACACTGGAAAAT CGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAA AACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGCTTTAAGTTGCGCTC AGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAG CAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTG GAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTT GAATGGGGTCCAATTGCCCCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTT GATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATA TCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCT CGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCA TTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGA ATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGA TTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGC GGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCC TAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTG TAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCGAGC GGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACA ATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTGCAAAGGTGGAGTCTATGGTTTAG TTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCA CAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCAT GTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAA GCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAATGCA TCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGGC AACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAAC ATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTA AGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATC AATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAA CACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTTATA AATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAGTATAATCGTG CTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAGTACTTAACATACACATCTACATT GGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTC AATTGCAATATCTCATTTGATAACCCATTTTTCCAAGGCAAACAGCTGAACATTATAGAAGATGACCTTA TTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAA TAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCC AAAATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTA AGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATT GCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGATTAATGAGTATTGATCCCCATTTT TCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGT CCATTTCATCTTTTCTTACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGAT AGTATATCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTG GTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACATCCTCACGACAATC TTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGGAGGAGCAGGCA CAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGGATCAAGCACAAACAACAGTGATGGT CATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGC AAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTC ATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAATGTG AAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACATCGTCTAGTCCTAC CTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGATGAGAT ATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTC TCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGG CAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTCTTCAACAC GCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCT GTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACA TAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTTATAACCATGGA TGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTACATAAATTGATCTTACACCAT GTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGC TAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTC TAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTC AGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATT TAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGT ATTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACTAGTCTCTGTCACTCAGCACTTAGCA CATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACAT ATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTAT TGTACAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTG TGCTATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTAC ATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCAGATGG TCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACTTGTAAAGGTTGGTTATCAACATACA GATTATAAAAAACTCATAAATTGCTCTCATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGAT AACGAAAGGAGTCCTTACATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAATTCACAA TACAGCATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATAA TTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATATCTTGCCAG ATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTTTAAGATTAAGTTTTTTAT AATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGATT AGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTCCATTCAGAATGATAAAATTAAAAGAAA AGACAGGACTGTAAAATCAGAAATACCTTCTTTACAATATACCAGACTAGACAATAATCTTCGTGTTAAT GATAATTAAGACATTGACCACGCTCATCAGAAGGCTC ================================================ FILE: tests/input/TestOrderOrientAndImputeFromReference/contigs.influenza.fasta ================================================ >I1-4 GCAAAAGCAGGGGAAATTCAAATCAACCAAGATGGAAGCAAAACTGTTTGTGCTATTCTG TACATTCACTGTACTGAAAGCTGACACCATCTGTGTGGGCTACCATGCAAACAACTCTAC GGACACTGTTGACACAGTATTGGAAAAGAATGTAACTGTGACTCACTCAGTGAATTTGCT CGAAGACAGCCATAATGGGAAGCTCTGCAGTCTGAATGGGATAGCTCCTTTACAATTGGG GAAGTGTAATGTAGCGGGGTGGCTCCTGGGCAATCCAGAATGTGATCTCCTACTCACTGC AAACTCATGGTCCTATATAATAGAGACGTCCAATTCAGAGAACGGGACATGCTATCCCGG TGAATTCATAGATTATGAGGAATTAAGGGAGCAGCTGAGTTCAGTTTCTTCTTTTGAAAA GTTTGAAATTTTCCCCAGGGCAAACTCATGGCCAAACCATGAGACAACCATAGGTGTTAC AGCTGCTTGCTCTTACTCTGGAGCTAGCAGTTTTTATCGAAATTTGCTGTGGATAACAAA GAAGGGGACTTCATATCCAAAACTCAGCAAATCATACACGAACAATAAGGGGAAAGAGGT GCTCGTGCTCTGGGGAGTGCACCATCCTCCGACCACCAGTGAACAACAAAGTCTATACCA GAATACTGATGCATATGTCTCAGTTGGGTCATCAAAGTACAACCGGAGATTCACCCCAGA GATAGCAGCTAGACCCAAAGTTAGAGGGCAGGCAGGCAGAATGAACTATTATTGGACACT ATTAGATCAAGGGGACACCATAACATTTGAGGCCACTGGGAATCTGATAGCACCATGGTA TGCCTTCGCATTAAATAAAGGATCTGATTCAGGAATTATAACATCAGATGCTCCAGTTCA CAATTGCGACACAAGATGCCAAACCCCCCATGGAGCGTTGAACAGTAGCCTTCCTTTCCA GAATGTGCATCCTATCACCATTGGAGAATGTCCCAAATATGTCAAGAGCACCAAGCTAAG GATGGCAACAGGACTAAGAAATGTCCCATCCATTCAATCCAGAGGGCTGTTTGGAGCAAT TGCCGGATTCATTGAAGGAGGATGGACAGGCATGATAGATGGCTGGTATGGGTACCATCA TCAAAATGAACAAGGATCAGGATATGCCGCTGATCAGAAAAGCACACAGAATGCAATTGA TGGAATAACAAATAAGGTGAATTCGGTAATTGAAAAAATGAACACTCAATTCACTGCAGT GGGTAAAGAATTCAACAACCTAGAGAGGAGGATTGAGAATCTGAATAAAAAAGTCGATGA TGGGTTCCTGGATGTTTGGACATACAATGCTGAATTGCTCGTTCTATTGGAAAATGAAAG AACTCTTGATTTTCATGATTCCAATGTGAGGAATTTGTATGAGAGAGTCAAATCACAACT GAGGAATAACGCCAAAGAAATTGGAAATGGTTGCTTTGAGTTCTATCACAAATGTGATGA TGAATGTATGGAAAGTGTGAAGAACGGCACATATGATTATCCCAAATATTCAGAAGAGTC TAAATTGAATCGAGAAGAAATAGACGGAGTAAAACTAGAGTCGATGGGAGTTTACCAAAT TCTGGCGATCTATTCCACAGTCGCCAGTTCCCTGGTCTTGTTAGTCTCCCTGGGGGCAAT CAGCTTCTGGATGTGCTCTAATGGGTCGTTGCAATGCAGAATATGCAT >I1-6 AATGAATCCAAATCAAAAGATAATAACTATTGGGTCAATCTGCATGGTAATTGGAATAAT AAGTCTGGTGCTACAAATTGGAAACATAATCTCAATATGGGTTAGCCATTCAATCCAAAC TGGAAGCCAGAGCCACCCAGAAACATGCAATCAAAGTGTCATTACCTACGAAAACAATAC TTGGGTGAATCAGACATACATCAACATAAGTAATACCAATTTAATTGCAGAGCAGGCTGT AGATCCGGTAGCACTAGCAGGTAACTCCTCTCTCTGTCCAATCAGTGGATGGGCTATATA CAGCAAGGACAATGGTATAAGAATAGGTTCCAAAGGAGATGTATTTGTCATCAGAGAGCC TTTTATTTCATGCTCTCACTTGGAATGCAGGACTTTCTTTCTAACTCAAGGGGCCTTGTT GAATGACAAGCATTCTAATGGAACCGTTAAAGACAGAAGCCCTTATAGAACCCTAATGAG CTGCCCTGTTGGTGAAGCTCCTTCCCCATACAATTCAAGGTTTGAGTCTGTTGCTTGGTC AGCAAGTGCTTGTCATGATGGCATTAGTTGGTTGACAATTGGTATTTCCGGCCCAGACAA TGGGGCGGTGGCTGTATTAAAATACAATGGCATAATAACAGATACTATCAAGAGTTGGAG AGGCAATATATTAAGAACACAAGAGTCTGAATGTGCCTGCATTAATGGTTCTTGCTTTAC CATAATGACTGATGGGCCGAGTAATGGCCAGGCCTCATACAAAATTTTCAAGGTAGAAAA GGGAAAGGTAGTCAAATCAGTTGAGTTGAATGCTCCTAATTACCACTATGAGGAGTGCTC CTGTTATCCTGATGCTAGCGAGGTAATGTGTGTGTGCAGAGACAATTGGCATGGTTCAAA TCGACCATGGGTGTCCTTCAATCAAAATCTAGAATATCAAATAGGATACATATGCAGCGG AGTTTTTGGAGACAACCCGCGCCCTAGTGATGGGACAGGCAGTTGTGGTCCAGTTTCTTC TAATGGGGCATATGGAGTGAAGGGGTTTTCATTTAAATACGGTAATGGTGTTTGGATAGG AAGAACTAAAAGTACTAGCTCAAGGAGTGGGTTTGAGATGATCTGGGATCCTAATGGGTG GACTGAGACAGATAGCAGTTTTTCTGTGAAGCAAGATATTGTAGCAATAACTGATTGGTC AGGATATAGCGGAAGTTTTGTCCAGCATCCAGAACTGACTGGGTTGGATTGCATGAGGCC TTGCTTCTGGGTTGAGCTGATCAGAGGAAGACCCAAGGAGAACACAATCTGGACCAGTGG AAGCAGCATTTCTTTTTGTGGAGTGAATAGCGACACTGTGGGTTGGTCTTGGCCAGACGG TGCTGAGTTGCCATTCACCATTGACAAGTAGTTTGTTCAAAAAACTCCTTG >I1-5 GTAGATAATCACTCACCGAGTGACATCCACATCATGGCGTCTCAAGGCACCAAACGATCT TATGAGCAAATGGAAACTGGTGGAGAACGCCAGAATGCCACTGAAATCAGAGCATCTGTT GGGAGAATGGTTGGTGGAATCGGAAGATTCTACATACAGATGTGTACTGAACTCAAGCTC AGTGACTATGAAGGGAGGCTGATCCAAAATAGCATAACCATAGAGAGAATGGTTCTCTCG GCATTTGATGAGAGGAGAAATAAATATCTGGAAGAGCATCCCAGTGCTGGGAAAGACCCC AAGAAGACTGGAGGCCCAATCTACAGAAGAAGAGATGGAAAATGGATGAGAGAGTTGATC CTATATGACAAAGAAGAGATCAGGAGGATTTGGCGTCAAGCAAATAACGGAGAAGACGCA ACTGCTGGTCTCACCCATTTGATGATTTGGCATTCCAATCTGAATGATGCCACATACCAG AGAACAAGGGCACTTGTGCGTACTGGGATGGATCCCAGGATGTGCTCCCTGATGCAAGGC TCAACTCTTCCAAGAAGATCTGGGGCTGCTGGAGCAGCAGTGAAAGGGGTTGGAACAATG GCGATGGAACTGATCCGGATGATCAAGCGAGGTATCAATGATAGGAATTTCTGGAGAGGC GAAAATGGACGGAGGACGAGAATTGCTTATGAAAGAATGTGCAACATCCTCAAGGGGAAA TTCCAAACAGCAGCACAACGAGCAATGATGGATCAGGTGAGAGAAAGCCGGAATCCTGGG AATGCTGAAATTGAAGATCTCATCTTCCTTGCAAGGTCTGCTCTCATTCTGAGAGGATCA GTAGCTCATAAGTCCTGCCTGCCTGCTTGTGTGTATGGGCTTGCAGTGGCCAGTGGATAC GACTTTGAGAGAGAGGGATATTCCCTAGTCGGAATTGATCCTTTCCGTCTGCTCCAAAAC AGTCAAGTCTTCAGCCTCATCAGACCAAACGAAAATCCAGCGCATAAGAGTCAGCTGGTA TGGATGGCATGTCACTCTGCTGCATTTGAAGATTTGAGAGTGTCAAGCTTCATCAGAGGA ACAAGAGTAGTCCCAAGAGGACAACTATCCACCAGAGGAGTTCAGATTGCTTCAAATGAG AACATGGAGACAATGGACTCCAGCACTCTTGAACTGAGGAGCAGATACTGGGCTATAAGG ACAAGAAGCGGAGGGAACACTAACCAGCAGAGAGCATCTGCAGGGCAAATCAGCGTGCAG CCCACCTTCTCTGTACAGAGAAACCTCCCATTCGAGAGAGCAACCATTATGGCGGCATTT ACGGGAAATACCGAGGGTAGAACTTCAGACATGAGGACTGAGATCATAAGGATGATGGAA AATGCCAGACCTGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAGCTCTCGGACGAA AAGGCAACGAACCCGATCGTGCCTTCCTTTGACATGAGTAATGAAGGATCTTATTTCTTC GGAGACAATGCAGAGGAGTATGACAATTAAAGAAA >I1-7 GATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCTCTCTATCATCCCGT CAGGCCCCCTCAAAGCCGAGATCGCGCAGAGACTTGAAGATGTGTTCGCAGGGAAAAACA CCGACCTTGAGGCGCTCATGGAATGGCTAAAGACAAGACCAATCCTGTCACCTCTGACTA AGGGGATCTTAGGATTTGTGTTCACGCTCACCGTGCCCAGTGAGCGAGGACTGCAGCGTA GACGCTTTGTCCAAAATGCCCTTAATGGGAATGGGGATCCAAACAACATGGACAGAGCAG TCAAACTGTACAGGAAGCTCAAAAGGGAGATAACATTCCATGGGGCAAAGGAGGTAGCAC TCAGTTACTCAACTGGTGCACTTGCCAGCTGCATGGGTCTCATATACAACAGGATGGGGA CTGTGACCACTGAAGTGGCATTTGGCCTGGTGTGTGCCACGTGTGAGCAGATTGCTGACT CCCAGCATCGGTCTCACAGACAAATGGTAACAACAACCAACCCACTAATAAGACACGAGA ACAGGATGGTACTGGCTAGTACTACAGCTAAGGCCATGGAGCAAATGGCAGGGTCAAGTG AGCAAGCAGCAGAGGCTATGGAGGTTGCTAGTCAGGCTAGACAGATGGTGCAGGCAATGA GGACTATTGGGACTCACCCTAGCTCCAGTGCTGGTCTAAAAGATGATCTTCTTGAAAATT TGCAGGCCTACCAGAAACGGATGGGAGTGCAGATGCAGCGATTCAAGTGATCCTCTCGTT ATTGCCGCAAGTATCATTGGGATCTTGCACTTGATATTGTGGATTCTTGATCGTCTTTTC TTCAAATGCATTTATCGTCGCCTTAAATACGGTTTGAAAAGAGGGCCTTCTACGGAAGGA GTGCCTGAGTCTATGAGGGAAGAATATCGGCAGGAACAGCAGAGTGCTGTGGATGTTGAC AATGGTCATTTTGTCAACATAGAGCTGGAGTAAAAAACTACCT >I1-8 CAGGTAGATTGCTATCTATGGCACATAAGAAAGCTGCTCAGCATGAGAGACATGTGTGAT GCTCCCTTTGATGATAGACTCAGAAGAGATCAGAAGGCATTAAAGGGGAGAGGCAGCACA CTTGGACTCGACNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNACCGACATGAGCATAGAGGAAATAAGCAGGGAGTGGTACATGCTCATGCCAAGGCAG AAAATAACAGGGGGTCTGATGGTGAAAATGGACCAGGCCATCATGGACAAGAGGATAATA CTCAAGGCAAACTTCTCTGTCCTATTTGATCAACTGGAAACATTAGTCTCACTGAGGGCT TTCACAGACGATGGCGCCATTGTAGCTGAAATATCTCCTATTCCTTCCATGCCAGGACAT TCTACAGAGGATGTCAAAAATGCAATTGGAATCCTCATCGGTGGACTTGAATGGAATGAT AACTCAATTCGAGCGTCTGAAAATATACAGAGATTCGCTTGGGGAGTCCGTGATGAGAAT GGGGGACCTCCACTCCCTCCAAAACAGAAACGCTACATGGCGAGAAGAGTTGAGTCAGAA GTTTGAAGAGATCAGATGGCTAATTGCAGAGTGCAGAAACATATTAACCAAAACTGAAAA CAGCTTCGAGCAGATAACGTTCTTGCAGGCATTGCAACTCTTACTTGAGGTTGAGAGTGA GATAAGGACATTTTCTTTTCAGCTTATTTAGTACTAAAAAAC >I1-2 AACCATTTGAATGGATGTCAATCCGACTTTACTTTTCTTGAAAGTTCCAGCGCAAAATGC CATAAGCACCACATTCCCGTACACTGGAGACCCTCCATACAGCCATGGAACAGGAACAGG ATACACCATGGACACGGTCAACAGAACACATCAATATTCAGAAAAGGGGAAATGGACAAC AAACTCAGAGACTGGAGCACCCCAACTTAACCCAATTGATGGACCACTGCCCGAGGACAA TGAGCCAAGTGGATATGCACAAACGGACTGTGTCCTTGAAGCAATGGCTTTCCTTGAAGA ATCCCACCCAGGAATCTTTGAAAACTCGTGTCTTGAGACGATGGAAGTTGTTCAACAAAC AAGAGTAGACAAATTGACCCAAGGCCGTCAGACCTATGATTGGACATTAAACAGGAATCA ACCGGCTGCAACTGCATTAGCTAATACTATAGAGGTATTCAGATCGAACGGTCTGACAGC TAATGAATCAGGAAGGCTAATAGATTTTCTCAAGGATGTGATGGAATCAATGGATAAAGA GGAAATGGAAATAACAACGCATTTCCAAAGGAAAAGAAGAGTAAGGGACAACATGACCAA GAAAATGGTCACACAAAGGACAATAGGAAAGAAGAAGCAGAGGCTAAATAAAAAGAGCTA TCTAATAAGAGCCTTGACACTGAACACAATGACAAAAGACGCCGAAAGAGGCAAATTAAA GAGAAGAGCAATTGCAACACCCGGAATGCAAATCAGAGGATTTGTATACTTTGTTGAAAC ATTAGCAAGGAGCATTTGTGAGAAGCTTGAACAATCTGGACTCCCAGTTGGAGGCAATGA AAAGAAGGCTAAACTGGCAAATGTTGTGAGGAAAATGATGACTAATTCACAAGATACAGA ACTCTCCTTCACAATCACTGGAGACAACACCAAATGGAATGAAAACCAGAACCCTAGGAT GTTTCTGGCAATGATAACATATATAACAAGAAACCAACCTGAATGGTTTAGGAATGTCTT GAGCATTGCACCCATAATGTTCTCAAACAAAATGGCAAGGCTAGGGAAAGGATATATGTT CGAAAGTAAGAGCATGAAGCTTCGAACACAAATACCGGCAGAAATGCTAGCAAGTATTGA TCTGAAATATTTTAATGAGTCGACAAAAAAGAAAATTGAAAAGATAAGACCTCTTCTAAT AGATGGTACAGCCTCATTGAGTCCTGGAATGATGATGGGCATGTTCAACATGCTAAGTAC AGTTTTGGGAGTTTCGATTTTAAATCTAGGACAAAAGAGGTACACCAAAACAACATACTG GTGGGACGGGCTCCAATCCTCTGATGACTTTGCTCTCATAGTGAATGCCCCGAATCATGA GGGGATACAAGCAGGAGTAGACAGATTCTATAGAACCTGCAAGCTGGTTGGAATCAACAT GAGCAAAAAGAAGTCCTACATAAACAGGACAGGAACATTTGAATTCACAAGTTTTTTCTA TCGCTATGGATTTGTAGCCAATTTCAGTATGGAGTTGCCCAGCTTTGGAGTGTCTGGGAT TAATGAATCTGCAGACATGAGCATTGGAGTAACAGTGATAAAGAACAACATGATAAACAA TGATCTTGGACCAGCAACAGCTCAAATGGCTCTTCAGCTGTTCATCAAGGATTACAGATA CACGTATCGGTGTCACAGAGGAGACACACAAATTCAGACAAGGAGGTCATTCGAGCTGAA GAAATTGTGGGAACAAACCCGCTCAAAAGCGGGACTGCTGGTCTCAGACGGAGGACCAAA CCTATACAATATCCGGAATCTACACATTCCGGAAGTCTGCTTAAAATGGGAGCTGATGGA CGAAGACTATCAGGGAAGGCTTTGCAACCCCCTGAATCCGTTTGTCAGCCACAAGGAGAT AGAGTCTGTAAACAATGCTGTGGTGATGCCAGCTCATGGCCCAGCCAAGAGCATGGAGTA TGATGCTGTGGCTACTACACACTCCTGGATACCTAAGAGGAATCGCTCTATCCTCAATAC AAGCCAAAGGGGAATCCTTGAGGATGAACAGATGTATCAAAAGTGCTGCAATCTATTCGA GAAATTCTTCCCTAGCAGCTCATACAGGAGACCGGTTGGAATTTCCAGCATGGTAGAGGC CATGGTTTCTAGGGCCCGAATCGATGCGCGAATTGACTTCGAATCTGGACGGATCAAGAA AGAGGAGTTTGCTGAGATCATGAAGATCTGTTCCACCATTGAAGAACTCAGACGGCAGAA ATAGTGAATTTTGCTTGTCCTTCATGAAAAAATGCCTTG >I1-1 TATATTCAATATGGAGAGAATAAAAGAACTAAGAGATTTAATGTCACAATCCCGCACTCG CGAGATACTAACCAAAACCACTGTTGACCACATGGCCATAATCAAAAAGTACACATCGGG AAGGCAAGAGAAGAACCCCGCACTCAGGATGAAATGGATGATGGCAATGAAATATCCAAT CACAGCTGACAAGCGAATAATGGAAATGATCCCTGAAAGGAATGAACAAGGGCAAACCCT CTGGAGCAAAACAAACGATGCCGGATCAGACCGAGTGATGGTATCACCCCTGGCTGTAAC ATGGTGGAATAGGAATGGACCAACAACAAGTACAGTTCACTATCCCAAGGTATATAAAAC TTATTTCGAAAAGGTTGAAAGGTTGAAACACGGGACCTTTGGCCCTGTACACTTCAGAAA CCAAGTTAAGATAAGACGGAGGGTCGACATAAACCCGGGCCATGCTGACCTCAGTGCCAA AGAGGCGCAGGATGTAATCATGGAAGTTGTCTTTCCAAATGAAGTGGGAGCGAGAATACT GACGTCGGAATCACAATTGACGATAACAAAGGAGAAGAAAGAAGAACTCCAGGACTGCAA AATCGCCCCTCTGATGGTTGCATACATGCTAGAAAGAGAGTTGGTTCGCAAGACAAGGTT TCTCCCAGTGGCTGGTGGAACAAGCAGTGTCTACATTGAGGTGCTGCATTTGACCCAGGG GACATGCTGGGAGCAGATGTATACTCCGGGAGGAGAAGTGAGAAACGATGATGTAGACCA GAGCTTGATTATCGCTGCCAGGAACATAGTGAGAAGAGCAACAGTGTCAGCAGACCCACT AGCATCTCTATTGGAGATGTGCCACAGCACACAAATTGGGGGAATAAGGATGGTAGACAT TCTCCGGCAAAATCCAACAGAGGAACAAGCCGTGGACATATGCAAGGCAGCAATGGGCTT GAGGATTAGCTCATCTTTCAGTTTTGGTGGATTCACTTTTAAAAGAACGAGTGGATCGTC AGTCAAAAAGGAAGAAGAAGTGCTTACGGGCAACCTTCAAACATTGAAAATAAGAGTGCA TGAGGGGTATGAAGAGTTCACAATGGTTGGAAGAAGAGCAACGGCCATTCTCAGAAAGGC AACCAGAAGGCTGATCCAGTTAATAGTAAGTGGAAGAGACGAGCAGTCAATTGCTGAAGC AATAATTGTGGCCATGGTATTCTCACAAGAGGACTGCATGATTAAGGCAGTTCGAGGTGA TCTGAATTTTGTCAATAGGGCGAACCAGCGGCTGAATCCAATGCATCAGCTCTTGAGACA CTTCCAAAAGGATGCAAAAGTGCTTTTCCAAAATTGGGGAATTGAACCCATTGACAATGT GATGGGAATGATCGGGATATTGCCTGACATGACCCCAAGTACTGAGATGTCACTGAGGGG AATAAGAATCAGTAAGATGGGGGTAGATGAATACTCCAGCACAGAGCGGGTAGTAGTAAG CATCGACCGATTTTTAAGAGTTCGAGACCAACGAGGGAACGTGCTATTGTCACCCGAAGA AGTCAGCGAGGCACAAGGAACAGAGAAACTGACAATCACTTATTCGTCATCAATGATGTG GGAGATTAATGGTCCTGAGTCGGTGTTGGTCAATACTTATCAGTGGATAATCAGAAACTG GGAAACTGTAAAAATTCAATGGTCACAGGATCCCACAATGTTGTATAATAAGATGGAATT CGAGCCATTTCAGTCTCTGGTCCCTAAGGCAGCCAGAGGTCAATACAGTGGGTTCGTGAG GACACTGTTCCAGCAGATGCGAGATGTGCTTGGAACATTCGACACTGTTCAGATAATAAA ACTCCTCCCCTTTGCTGCTGCCCCACCGGAACAAAGTAGGATGCAGTTCTCCTCCCTGAC TGTGAATGTGAGAGGATCAGGAATGAGAATACTGGTAAGAGGCAATTCCCCAGTGTTCAA TTACAACAAGGCCACCAAGAGGCTCACAGTTCTCGGGAAAGATGCAGGTGCATTGACCGA AGATCCAGATGAAGGCACAGCTGGAGTGGAGTCTGCTGTTTTAAGAGGATTCCTCATTTT GGGCAAAGAAGACAAGAGATATGGCCCAGCATTGAGCATCAATGAGCTGAGCAATCTTGC AAAGGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTGGTGTTGGTGATGAAACG GAAACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACCAAAAGAATTCGGATGGC CATCAATTAGTGTCGAATTGTTTA >I1-3 CAAAATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAA GGCAATGAAAGAATATGGGGAAGATCCGAAAATTGAAACTAACAAGTTTGCTGCAATATG CACCCACTTAGAAGTCTGTTTCATGTATTCGGATTTTCATTTCATCGACGAACGGGGTGA ATCAATAATTGTAGAATCTGGTGACCCAAATGCATTACTGAAGCACCGATTCGAGATAAT TGAAGGAAGAGATCGAACCATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACAGG GGTAGAGAAGCCTAAATTTCTTCCGGATCTGTATGACTACAAGGAGAACAGATTCATTGA AATTGGGGTGACACGGAGGGAGGTTCACATATACTACCTAGAAAAAGCCAATAAAATAAA ATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAGGAAATGGCCACCAAAGC GGACTACACCCTTGATGAAGAAAGCAGAGCAAGAATCAAAACCAGATTGTTCACCATAAG ACAAGAAATGGCCAGTAGAGGTTTGTGGGATTCCTTTCGTCAGTCCGAGAGAGGCGAAGA GACAATTGAAGAAAGATTTGAAATTACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCT CCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAA CGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCAAGAATTGAACC ATTCTTGAAAACAACACCACGCCCACTCAGATTACCTGATGGGCCTCCTTGTTCCCAGCG GTCAAAATTTCTGTTGATGGATGCTCTGAAACTAAGTATTGAGGACCCGAGTCATGAGGG GGAGGGAATACCGCTATATGATGCAATCAAATGCATGAAGACATTTTTTGGCTGGAAAGA ACCTAACATAATCAAACCACATGAGAAAGGCATAAACCCCAACTACCTCCTGACTTGGAA GCAAGTACTAGCGGAACTCCAAGACATTGAGAATGAAGAGAAGATCCCAAAGACAAAGAA CATGAAGAAAACAAGCCAACTGAAGTGGGCACTTGGTGAAAATATGGCACCAGAGAAAGT AGACTTTGATGATTGCAAAGATATTAGTGATCTTAAACAGTATGACAGCGATGAGCCAGA ACCTAGGTCGCTAGCAAGCTGGATCCAAAGTGAATTCAACAAGGCATGTGAATTGACCGA TTCAAGCTGGATGGAGCTTGATGAGATAGGGGAAGATGTTGCCCCGATCGAACACATTGC AAGCATGAGGAGAAACTATTTTACAGCAGAAGTGTCCCATTGCAGGGCTACTGAGTACAT AATGAAGGGAGTGTACATAAACACAGCCTTGCTCAATGCATCTTGTGCAGCCATGGATGA CTTCCAGCTGATCCCAATGATAAGCAAATGTAGAACCAAAGAAGGGAGACGGAAAACAAA TCTGTATGGATTCATTATAAAAGGAAGGTCTCATTTGAGAAATGACACTGACGTGGTAAA TTTTGTGAGTATGGAGTTCTCTCTCACAGACCCGAGACTGGAGCCACACAAATGGGAAAA GTACTGTGTTCTCGAAATAGGGGATATGCTCTTGAGGACTGCGATAGGCCAAGTGTCACG ACCCATGTTCCTATATGTGAGAACCAATGGAACTTCAAAGATCAAGATGAAATGGGGGAT GGAAATGAGGCGCTGCCTTCTCCAATCCCTTCAGCAGATTGAGAGCATGATTGAGGCCGA GTCTTCCGTCAAAGAGAAAGATATGACAAAGGAATTCTTTGAGAACAAATCAGAAACATG GCCAATTGGAGAGTCACCCAAGGGAGTGGAAGAAGGCTCTATTGGGAAAGTATGCAGAAC CCTACTGGCAAAGTCTGTATTCAACAGTCTATATGCATCTCCACAACTCGAGGGGTTTTC AGCTGAATCGAGAAAATTGCTTCTCATTGTTCAGGCACTTAGGGACAACCTGGAACCTGG GACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTG GGTTTTGCTCAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTGAAATAGTTGTG GCAATGCTACTATTTGCTATCCATACTGTCCAAAAAAGTACCTTGTT ================================================ FILE: tests/input/TestOrderOrientAndImputeFromReference/expected.influenza.impute.mafft.fasta ================================================ >test_influenza.genome-1 AGCGAAAGCAGGTCAATTATATTCAATATGGAGAGAATAAAAGAACTAAGAGATTTAATG TCACAATCCCGCACTCGCGAGATACTAACCAAAACCACTGTTGACCACATGGCCATAATC AAAAAGTACACATCGGGAAGGCAAGAGAAGAACCCCGCACTCAGGATGAAATGGATGATG GCAATGAAATATCCAATCACAGCTGACAAGCGAATAATGGAAATGATCCCTGAAAGGAAT GAACAAGGGCAAACCCTCTGGAGCAAAACAAACGATGCCGGATCAGACCGAGTGATGGTA TCACCCCTGGCTGTAACATGGTGGAATAGGAATGGACCAACAACAAGTACAGTTCACTAT CCCAAGGTATATAAAACTTATTTCGAAAAGGTTGAAAGGTTGAAACACGGGACCTTTGGC CCTGTACACTTCAGAAACCAAGTTAAGATAAGACGGAGGGTCGACATAAACCCGGGCCAT GCTGACCTCAGTGCCAAAGAGGCGCAGGATGTAATCATGGAAGTTGTCTTTCCAAATGAA GTGGGAGCGAGAATACTGACGTCGGAATCACAATTGACGATAACAAAGGAGAAGAAAGAA GAACTCCAGGACTGCAAAATCGCCCCTCTGATGGTTGCATACATGCTAGAAAGAGAGTTG GTTCGCAAGACAAGGTTTCTCCCAGTGGCTGGTGGAACAAGCAGTGTCTACATTGAGGTG CTGCATTTGACCCAGGGGACATGCTGGGAGCAGATGTATACTCCGGGAGGAGAAGTGAGA AACGATGATGTAGACCAGAGCTTGATTATCGCTGCCAGGAACATAGTGAGAAGAGCAACA GTGTCAGCAGACCCACTAGCATCTCTATTGGAGATGTGCCACAGCACACAAATTGGGGGA ATAAGGATGGTAGACATTCTCCGGCAAAATCCAACAGAGGAACAAGCCGTGGACATATGC AAGGCAGCAATGGGCTTGAGGATTAGCTCATCTTTCAGTTTTGGTGGATTCACTTTTAAA AGAACGAGTGGATCGTCAGTCAAAAAGGAAGAAGAAGTGCTTACGGGCAACCTTCAAACA TTGAAAATAAGAGTGCATGAGGGGTATGAAGAGTTCACAATGGTTGGAAGAAGAGCAACG GCCATTCTCAGAAAGGCAACCAGAAGGCTGATCCAGTTAATAGTAAGTGGAAGAGACGAG CAGTCAATTGCTGAAGCAATAATTGTGGCCATGGTATTCTCACAAGAGGACTGCATGATT AAGGCAGTTCGAGGTGATCTGAATTTTGTCAATAGGGCGAACCAGCGGCTGAATCCAATG CATCAGCTCTTGAGACACTTCCAAAAGGATGCAAAAGTGCTTTTCCAAAATTGGGGAATT GAACCCATTGACAATGTGATGGGAATGATCGGGATATTGCCTGACATGACCCCAAGTACT GAGATGTCACTGAGGGGAATAAGAATCAGTAAGATGGGGGTAGATGAATACTCCAGCACA GAGCGGGTAGTAGTAAGCATCGACCGATTTTTAAGAGTTCGAGACCAACGAGGGAACGTG CTATTGTCACCCGAAGAAGTCAGCGAGGCACAAGGAACAGAGAAACTGACAATCACTTAT TCGTCATCAATGATGTGGGAGATTAATGGTCCTGAGTCGGTGTTGGTCAATACTTATCAG TGGATAATCAGAAACTGGGAAACTGTAAAAATTCAATGGTCACAGGATCCCACAATGTTG TATAATAAGATGGAATTCGAGCCATTTCAGTCTCTGGTCCCTAAGGCAGCCAGAGGTCAA TACAGTGGGTTCGTGAGGACACTGTTCCAGCAGATGCGAGATGTGCTTGGAACATTCGAC ACTGTTCAGATAATAAAACTCCTCCCCTTTGCTGCTGCCCCACCGGAACAAAGTAGGATG CAGTTCTCCTCCCTGACTGTGAATGTGAGAGGATCAGGAATGAGAATACTGGTAAGAGGC AATTCCCCAGTGTTCAATTACAACAAGGCCACCAAGAGGCTCACAGTTCTCGGGAAAGAT GCAGGTGCATTGACCGAAGATCCAGATGAAGGCACAGCTGGAGTGGAGTCTGCTGTTTTA AGAGGATTCCTCATTTTGGGCAAAGAAGACAAGAGATATGGCCCAGCATTGAGCATCAAT GAGCTGAGCAATCTTGCAAAGGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTG GTGTTGGTGATGAAACGGAAACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACC AAAAGAATTCGGATGGCCATCAATTAGTGTCGAATTGTTTAAAAACGACCTTGTTTCTAC T >test_influenza.genome-2 AGCGAAAGCAGGTACTGATCCAAAATGGAAGACTTTGTGCGACAATGCTTCAATCCAATG ATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATTGAAACT AACAAGTTTGCTGCAATATGCACCCACTTAGAAGTCTGTTTCATGTATTCGGATTTTCAT TTCATCGACGAACGGGGTGAATCAATAATTGTAGAATCTGGTGACCCAAATGCATTACTG AAGCACCGATTCGAGATAATTGAAGGAAGAGATCGAACCATGGCCTGGACAGTGGTGAAT AGTATCTGCAACACCACAGGGGTAGAGAAGCCTAAATTTCTTCCGGATCTGTATGACTAC AAGGAGAACAGATTCATTGAAATTGGGGTGACACGGAGGGAGGTTCACATATACTACCTA GAAAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGA GAGGAAATGGCCACCAAAGCGGACTACACCCTTGATGAAGAAAGCAGAGCAAGAATCAAA ACCAGATTGTTCACCATAAGACAAGAAATGGCCAGTAGAGGTTTGTGGGATTCCTTTCGT CAGTCCGAGAGAGGCGAAGAGACAATTGAAGAAAGATTTGAAATTACAGGAACCATGCGC AGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTAT GTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAA GTGAACGCAAGAATTGAACCATTCTTGAAAACAACACCACGCCCACTCAGATTACCTGAT GGGCCTCCTTGTTCCCAGCGGTCAAAATTTCTGTTGATGGATGCTCTGAAACTAAGTATT GAGGACCCGAGTCATGAGGGGGAGGGAATACCGCTATATGATGCAATCAAATGCATGAAG ACATTTTTTGGCTGGAAAGAACCTAACATAATCAAACCACATGAGAAAGGCATAAACCCC AACTACCTCCTGACTTGGAAGCAAGTACTAGCGGAACTCCAAGACATTGAGAATGAAGAG AAGATCCCAAAGACAAAGAACATGAAGAAAACAAGCCAACTGAAGTGGGCACTTGGTGAA AATATGGCACCAGAGAAAGTAGACTTTGATGATTGCAAAGATATTAGTGATCTTAAACAG TATGACAGCGATGAGCCAGAACCTAGGTCGCTAGCAAGCTGGATCCAAAGTGAATTCAAC AAGGCATGTGAATTGACCGATTCAAGCTGGATGGAGCTTGATGAGATAGGGGAAGATGTT GCCCCGATCGAACACATTGCAAGCATGAGGAGAAACTATTTTACAGCAGAAGTGTCCCAT TGCAGGGCTACTGAGTACATAATGAAGGGAGTGTACATAAACACAGCCTTGCTCAATGCA TCTTGTGCAGCCATGGATGACTTCCAGCTGATCCCAATGATAAGCAAATGTAGAACCAAA GAAGGGAGACGGAAAACAAATCTGTATGGATTCATTATAAAAGGAAGGTCTCATTTGAGA AATGACACTGACGTGGTAAATTTTGTGAGTATGGAGTTCTCTCTCACAGACCCGAGACTG GAGCCACACAAATGGGAAAAGTACTGTGTTCTCGAAATAGGGGATATGCTCTTGAGGACT GCGATAGGCCAAGTGTCACGACCCATGTTCCTATATGTGAGAACCAATGGAACTTCAAAG ATCAAGATGAAATGGGGGATGGAAATGAGGCGCTGCCTTCTCCAATCCCTTCAGCAGATT GAGAGCATGATTGAGGCCGAGTCTTCCGTCAAAGAGAAAGATATGACAAAGGAATTCTTT GAGAACAAATCAGAAACATGGCCAATTGGAGAGTCACCCAAGGGAGTGGAAGAAGGCTCT ATTGGGAAAGTATGCAGAACCCTACTGGCAAAGTCTGTATTCAACAGTCTATATGCATCT CCACAACTCGAGGGGTTTTCAGCTGAATCGAGAAAATTGCTTCTCATTGTTCAGGCACTT AGGGACAACCTGGAACCTGGGACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAG TGCCTGATTAATGATCCCTGGGTTTTGCTCAATGCATCTTGGTTCAACTCCTTCCTCACA CATGCACTGAAATAGTTGTGGCAATGCTACTATTTGCTATCCATACTGTCCAAAAAAGTA CCTTGTCTACT >test_influenza.genome-3 AGCAAAAGCAGGGTAGATAATCACTCACCGAGTGACATCCACATCATGGCGTCTCAAGGC ACCAAACGATCTTATGAGCAAATGGAAACTGGTGGAGAACGCCAGAATGCCACTGAAATC AGAGCATCTGTTGGGAGAATGGTTGGTGGAATCGGAAGATTCTACATACAGATGTGTACT GAACTCAAGCTCAGTGACTATGAAGGGAGGCTGATCCAAAATAGCATAACCATAGAGAGA ATGGTTCTCTCGGCATTTGATGAGAGGAGAAATAAATATCTGGAAGAGCATCCCAGTGCT GGGAAAGACCCCAAGAAGACTGGAGGCCCAATCTACAGAAGAAGAGATGGAAAATGGATG AGAGAGTTGATCCTATATGACAAAGAAGAGATCAGGAGGATTTGGCGTCAAGCAAATAAC GGAGAAGACGCAACTGCTGGTCTCACCCATTTGATGATTTGGCATTCCAATCTGAATGAT GCCACATACCAGAGAACAAGGGCACTTGTGCGTACTGGGATGGATCCCAGGATGTGCTCC CTGATGCAAGGCTCAACTCTTCCAAGAAGATCTGGGGCTGCTGGAGCAGCAGTGAAAGGG GTTGGAACAATGGCGATGGAACTGATCCGGATGATCAAGCGAGGTATCAATGATAGGAAT TTCTGGAGAGGCGAAAATGGACGGAGGACGAGAATTGCTTATGAAAGAATGTGCAACATC CTCAAGGGGAAATTCCAAACAGCAGCACAACGAGCAATGATGGATCAGGTGAGAGAAAGC CGGAATCCTGGGAATGCTGAAATTGAAGATCTCATCTTCCTTGCAAGGTCTGCTCTCATT CTGAGAGGATCAGTAGCTCATAAGTCCTGCCTGCCTGCTTGTGTGTATGGGCTTGCAGTG GCCAGTGGATACGACTTTGAGAGAGAGGGATATTCCCTAGTCGGAATTGATCCTTTCCGT CTGCTCCAAAACAGTCAAGTCTTCAGCCTCATCAGACCAAACGAAAATCCAGCGCATAAG AGTCAGCTGGTATGGATGGCATGTCACTCTGCTGCATTTGAAGATTTGAGAGTGTCAAGC TTCATCAGAGGAACAAGAGTAGTCCCAAGAGGACAACTATCCACCAGAGGAGTTCAGATT GCTTCAAATGAGAACATGGAGACAATGGACTCCAGCACTCTTGAACTGAGGAGCAGATAC TGGGCTATAAGGACAAGAAGCGGAGGGAACACTAACCAGCAGAGAGCATCTGCAGGGCAA ATCAGCGTGCAGCCCACCTTCTCTGTACAGAGAAACCTCCCATTCGAGAGAGCAACCATT ATGGCGGCATTTACGGGAAATACCGAGGGTAGAACTTCAGACATGAGGACTGAGATCATA AGGATGATGGAAAATGCCAGACCTGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAG CTCTCGGACGAAAAGGCAACGAACCCGATCGTGCCTTCCTTTGACATGAGTAATGAAGGA TCTTATTTCTTCGGAGACAATGCAGAGGAGTATGACAATTAAAGAAAAATACCCTTGTTT CTACT >test_influenza.genome-4 AGCGAAAGCAGGGGTTTAAAATGAATCCAAATCAGAAAATAATAACCATTGGATCAATCT GTCTGGTAGTCGGACTAATTAGCCTAATATTGCAAATAGGGAATATAATCTCAATATGGA TTAGCCATTCAATTCAAACTGGAAGTCAAAACCATACTGGAATATGCAACCAAAACATCA TTACCTATAAAAATAGCACCTGGGTAAAGGACACAACTTCAGTGATATTAACCGGCAATT CATCTCTCTGTCCAATCAGTGGATGGGCTATATACAGCAAGGACAATGGTATAAGAATAG GTTCCAAAGGAGATGTATTTGTCATCAGAGAGCCTTTTATTTCATGCTCTCACTTGGAAT GCAGGACTTTCTTTCTAACTCAAGGGGCCTTGTTGAATGACAAGCATTCTAATGGAACCG TTAAAGACAGAAGCCCTTATAGAACCCTAATGAGCTGCCCTGTTGGTGAAGCTCCTTCCC CATACAATTCAAGGTTTGAGTCTGTTGCTTGGTCAGCAAGTGCTTGTCATGATGGCATTA GTTGGTTGACAATTGGTATTTCCGGCCCAGACAATGGGGCGGTGGCTGTATTAAAATACA ATGGCATAATAACAGATACTATCAAGAGTTGGAGAGGCAATATATTAAGAACACAAGAGT CTGAATGTGCCTGCATTAATGGTTCTTGCTTTACCATAATGACTGATGGGCCGAGTAATG GCCAGGCCTCATACAAAATTTTCAAGGTAGAAAAGGGAAAGGTAGTCAAATCAGTTGAGT TGAATGCTCCTAATTACCACTATGAGGAGTGCTCCTGTTATCCTGATGCTAGCGAGGTAA TGTGTGTGTGCAGAGACAATTGGCATGGTTCAAATCGACCATGGGTGTCCTTCAATCAAA ATCTAGAATATCAAATAGGATACATATGCAGCGGAGTTTTTGGAGACAACCCGCGCCCTA GTGATGGGACAGGCAGTTGTGGTCCAGTTTCTTCTAATGGGGCATATGGAGTGAAGGGGT TTTCATTTAAATACGGTAATGGTGTTTGGATAGGAAGAACTAAAAGTACTAGCTCAAGGA GTGGGTTTGAGATGATCTGGGATCCTAATGGGTGGACTGAGACAGATAGCAGTTTTTCTG TGAAGCAAGATATTGTAGCAATAACTGATTGGTCAGGATATAGCGGAAGTTTTGTCCAGC ATCCAGAACTGACTGGGTTGGATTGCATGAGGCCTTGCTTCTGGGTTGAGCTGATCAGAG GAAGACCCAAGGAGAACACAATCTGGACCAGTGGAAGCAGCATTTCTTTTTGTGGAGTGA ATAGCGACACTGTGGGTTGGTCTTGGCCAGACGGTGCTGAGTTGCCATTCACCATTGACA AGTAGTTTGTTCAAAAAACTCCTTGTTTCTACT >test_influenza.genome-5 AGCGAAAGCAGGTAGATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCT CTCTATCATCCCGTCAGGCCCCCTCAAAGCCGAGATCGCGCAGAGACTTGAAGATGTGTT CGCAGGGAAAAACACCGACCTTGAGGCGCTCATGGAATGGCTAAAGACAAGACCAATCCT GTCACCTCTGACTAAGGGGATCTTAGGATTTGTGTTCACGCTCACCGTGCCCAGTGAGCG AGGACTGCAGCGTAGACGCTTTGTCCAAAATGCCCTTAATGGGAATGGGGATCCAAACAA CATGGACAGAGCAGTCAAACTGTACAGGAAGCTCAAAAGGGAGATAACATTCCATGGGGC AAAGGAGGTAGCACTCAGTTACTCAACTGGTGCACTTGCCAGCTGCATGGGTCTCATATA CAACAGGATGGGGACTGTGACCACTGAAGTGGCATTTGGCCTGGTGTGTGCCACGTGTGA GCAGATTGCTGACTCCCAGCATCGGTCTCACAGACAAATGGTAACAACAACCAACCCACT AATAAGACACGAGAACAGGATGGTACTGGCTAGTACTACAGCTAAGGCCATGGAGCAAAT GGCAGGGTCAAGTGAGCAAGCAGCAGAGGCTATGGAGGTTGCTAGTCAGGCTAGACAGAT GGTGCAGGCAATGAGGACTATTGGGACTCACCCTAGCTCCAGTGCTGGTCTAAAAGATGA TCTTCTTGAAAATTTGCAGGCCTACCAGAAACGGATGGGAGTGCAGATGCAGCGATTCAA GTGATCCTCTCGTTATTGCCGCAAGTATCATTGGGATCTTGCACTTGATATTGTGGATTC TTGATCGTCTTTTCTTCAAATGCATTTATCGTCGCCTTAAATACGGTTTGAAAAGAGGGC CTTCTACGGAAGGAGTGCCTGAGTCTATGAGGGAAGAATATCGGCAGGAACAGCAGAGTG CTGTGGATGTTGACAATGGTCATTTTGTCAACATAGAGCTGGAGTAAAAAACTACCTACT ================================================ FILE: tests/input/TestOrderOrientAndImputeFromReference/expected.influenza.impute.mummer.fasta ================================================ >test_influenza.genome-1 AGCGAAAGCAGGTCAATTATATTCAATATGGAGAGAATAAAAGAACTAAGAGATTTAATG TCACAATCCCGCACTCGCGAGATACTAACCAAAACCACTGTTGACCACATGGCCATAATC AAAAAGTACACATCGGGAAGGCAAGAGAAGAACCCCGCACTCAGGATGAAATGGATGATG GCAATGAAATATCCAATCACAGCTGACAAGCGAATAATGGAAATGATCCCTGAAAGGAAT GAACAAGGGCAAACCCTCTGGAGCAAAACAAACGATGCCGGATCAGACCGAGTGATGGTA TCACCCCTGGCTGTAACATGGTGGAATAGGAATGGACCAACAACAAGTACAGTTCACTAT CCCAAGGTATATAAAACTTATTTCGAAAAGGTTGAAAGGTTGAAACACGGGACCTTTGGC CCTGTACACTTCAGAAACCAAGTTAAGATAAGACGGAGGGTCGACATAAACCCGGGCCAT GCTGACCTCAGTGCCAAAGAGGCGCAGGATGTAATCATGGAAGTTGTCTTTCCAAATGAA GTGGGAGCGAGAATACTGACGTCGGAATCACAATTGACGATAACAAAGGAGAAGAAAGAA GAACTCCAGGACTGCAAAATCGCCCCTCTGATGGTTGCATACATGCTAGAAAGAGAGTTG GTTCGCAAGACAAGGTTTCTCCCAGTGGCTGGTGGAACAAGCAGTGTCTACATTGAGGTG CTGCATTTGACCCAGGGGACATGCTGGGAGCAGATGTATACTCCGGGAGGAGAAGTGAGA AACGATGATGTAGACCAGAGCTTGATTATCGCTGCCAGGAACATAGTGAGAAGAGCAACA GTGTCAGCAGACCCACTAGCATCTCTATTGGAGATGTGCCACAGCACACAAATTGGGGGA ATAAGGATGGTAGACATTCTCCGGCAAAATCCAACAGAGGAACAAGCCGTGGACATATGC AAGGCAGCAATGGGCTTGAGGATTAGCTCATCTTTCAGTTTTGGTGGATTCACTTTTAAA AGAACGAGTGGATCGTCAGTCAAAAAGGAAGAAGAAGTGCTTACGGGCAACCTTCAAACA TTGAAAATAAGAGTGCATGAGGGGTATGAAGAGTTCACAATGGTTGGAAGAAGAGCAACG GCCATTCTCAGAAAGGCAACCAGAAGGCTGATCCAGTTAATAGTAAGTGGAAGAGACGAG CAGTCAATTGCTGAAGCAATAATTGTGGCCATGGTATTCTCACAAGAGGACTGCATGATT AAGGCAGTTCGAGGTGATCTGAATTTTGTCAATAGGGCGAACCAGCGGCTGAATCCAATG CATCAGCTCTTGAGACACTTCCAAAAGGATGCAAAAGTGCTTTTCCAAAATTGGGGAATT GAACCCATTGACAATGTGATGGGAATGATCGGGATATTGCCTGACATGACCCCAAGTACT GAGATGTCACTGAGGGGAATAAGAATCAGTAAGATGGGGGTAGATGAATACTCCAGCACA GAGCGGGTAGTAGTAAGCATCGACCGATTTTTAAGAGTTCGAGACCAACGAGGGAACGTG CTATTGTCACCCGAAGAAGTCAGCGAGGCACAAGGAACAGAGAAACTGACAATCACTTAT TCGTCATCAATGATGTGGGAGATTAATGGTCCTGAGTCGGTGTTGGTCAATACTTATCAG TGGATAATCAGAAACTGGGAAACTGTAAAAATTCAATGGTCACAGGATCCCACAATGTTG TATAATAAGATGGAATTCGAGCCATTTCAGTCTCTGGTCCCTAAGGCAGCCAGAGGTCAA TACAGTGGGTTCGTGAGGACACTGTTCCAGCAGATGCGAGATGTGCTTGGAACATTCGAC ACTGTTCAGATAATAAAACTCCTCCCCTTTGCTGCTGCCCCACCGGAACAAAGTAGGATG CAGTTCTCCTCCCTGACTGTGAATGTGAGAGGATCAGGAATGAGAATACTGGTAAGAGGC AATTCCCCAGTGTTCAATTACAACAAGGCCACCAAGAGGCTCACAGTTCTCGGGAAAGAT GCAGGTGCATTGACCGAAGATCCAGATGAAGGCACAGCTGGAGTGGAGTCTGCTGTTTTA AGAGGATTCCTCATTTTGGGCAAAGAAGACAAGAGATATGGCCCAGCATTGAGCATCAAT GAGCTGAGCAATCTTGCAAAGGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTG GTGTTGGTGATGAAACGGAAACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACC AAAAGAATTCGGATGGCCATCAATTAGTGTCGAATTGTTTAAAAACGACCTTGTTTCTAC T >test_influenza.genome-2 AGCGAAAGCAGGTACTGATCCAAAATGGAAGACTTTGTGCGACAATGCTTCAATCCAATG ATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATTGAAACT AACAAGTTTGCTGCAATATGCACCCACTTAGAAGTCTGTTTCATGTATTCGGATTTTCAT TTCATCGACGAACGGGGTGAATCAATAATTGTAGAATCTGGTGACCCAAATGCATTACTG AAGCACCGATTCGAGATAATTGAAGGAAGAGATCGAACCATGGCCTGGACAGTGGTGAAT AGTATCTGCAACACCACAGGGGTAGAGAAGCCTAAATTTCTTCCGGATCTGTATGACTAC AAGGAGAACAGATTCATTGAAATTGGGGTGACACGGAGGGAGGTTCACATATACTACCTA GAAAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGA GAGGAAATGGCCACCAAAGCGGACTACACCCTTGATGAAGAAAGCAGAGCAAGAATCAAA ACCAGATTGTTCACCATAAGACAAGAAATGGCCAGTAGAGGTTTGTGGGATTCCTTTCGT CAGTCCGAGAGAGGCGAAGAGACAATTGAAGAAAGATTTGAAATTACAGGAACCATGCGC AGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTAT GTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAA GTGAACGCAAGAATTGAACCATTCTTGAAAACAACACCACGCCCACTCAGATTACCTGAT GGGCCTCCTTGTTCCCAGCGGTCAAAATTTCTGTTGATGGATGCTCTGAAACTAAGTATT GAGGACCCGAGTCATGAGGGGGAGGGAATACCGCTATATGATGCAATCAAATGCATGAAG ACATTTTTTGGCTGGAAAGAACCTAACATAATCAAACCACATGAGAAAGGCATAAACCCC AACTACCTCCTGACTTGGAAGCAAGTACTAGCGGAACTCCAAGACATTGAGAATGAAGAG AAGATCCCAAAGACAAAGAACATGAAGAAAACAAGCCAACTGAAGTGGGCACTTGGTGAA AATATGGCACCAGAGAAAGTAGACTTTGATGATTGCAAAGATATTAGTGATCTTAAACAG TATGACAGCGATGAGCCAGAACCTAGGTCGCTAGCAAGCTGGATCCAAAGTGAATTCAAC AAGGCATGTGAATTGACCGATTCAAGCTGGATGGAGCTTGATGAGATAGGGGAAGATGTT GCCCCGATCGAACACATTGCAAGCATGAGGAGAAACTATTTTACAGCAGAAGTGTCCCAT TGCAGGGCTACTGAGTACATAATGAAGGGAGTGTACATAAACACAGCCTTGCTCAATGCA TCTTGTGCAGCCATGGATGACTTCCAGCTGATCCCAATGATAAGCAAATGTAGAACCAAA GAAGGGAGACGGAAAACAAATCTGTATGGATTCATTATAAAAGGAAGGTCTCATTTGAGA AATGACACTGACGTGGTAAATTTTGTGAGTATGGAGTTCTCTCTCACAGACCCGAGACTG GAGCCACACAAATGGGAAAAGTACTGTGTTCTCGAAATAGGGGATATGCTCTTGAGGACT GCGATAGGCCAAGTGTCACGACCCATGTTCCTATATGTGAGAACCAATGGAACTTCAAAG ATCAAGATGAAATGGGGGATGGAAATGAGGCGCTGCCTTCTCCAATCCCTTCAGCAGATT GAGAGCATGATTGAGGCCGAGTCTTCCGTCAAAGAGAAAGATATGACAAAGGAATTCTTT GAGAACAAATCAGAAACATGGCCAATTGGAGAGTCACCCAAGGGAGTGGAAGAAGGCTCT ATTGGGAAAGTATGCAGAACCCTACTGGCAAAGTCTGTATTCAACAGTCTATATGCATCT CCACAACTCGAGGGGTTTTCAGCTGAATCGAGAAAATTGCTTCTCATTGTTCAGGCACTT AGGGACAACCTGGAACCTGGGACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAG TGCCTGATTAATGATCCCTGGGTTTTGCTCAATGCATCTTGGTTCAACTCCTTCCTCACA CATGCACTGAAATAGTTGTGGCAATGCTACTATTTGCTATCCATACTGTCCAAAAAAGTA CCTTGTTTCTACT >test_influenza.genome-3 AGCAAAAGCAGGGTAGATAATCACTCACCGAGTGACATCCACATCATGGCGTCTCAAGGC ACCAAACGATCTTATGAGCAAATGGAAACTGGTGGAGAACGCCAGAATGCCACTGAAATC AGAGCATCTGTTGGGAGAATGGTTGGTGGAATCGGAAGATTCTACATACAGATGTGTACT GAACTCAAGCTCAGTGACTATGAAGGGAGGCTGATCCAAAATAGCATAACCATAGAGAGA ATGGTTCTCTCGGCATTTGATGAGAGGAGAAATAAATATCTGGAAGAGCATCCCAGTGCT GGGAAAGACCCCAAGAAGACTGGAGGCCCAATCTACAGAAGAAGAGATGGAAAATGGATG AGAGAGTTGATCCTATATGACAAAGAAGAGATCAGGAGGATTTGGCGTCAAGCAAATAAC GGAGAAGACGCAACTGCTGGTCTCACCCATTTGATGATTTGGCATTCCAATCTGAATGAT GCCACATACCAGAGAACAAGGGCACTTGTGCGTACTGGGATGGATCCCAGGATGTGCTCC CTGATGCAAGGCTCAACTCTTCCAAGAAGATCTGGGGCTGCTGGAGCAGCAGTGAAAGGG GTTGGAACAATGGCGATGGAACTGATCCGGATGATCAAGCGAGGTATCAATGATAGGAAT TTCTGGAGAGGCGAAAATGGACGGAGGACGAGAATTGCTTATGAAAGAATGTGCAACATC CTCAAGGGGAAATTCCAAACAGCAGCACAACGAGCAATGATGGATCAGGTGAGAGAAAGC CGGAATCCTGGGAATGCTGAAATTGAAGATCTCATCTTCCTTGCAAGGTCTGCTCTCATT CTGAGAGGATCAGTAGCTCATAAGTCCTGCCTGCCTGCTTGTGTGTATGGGCTTGCAGTG GCCAGTGGATACGACTTTGAGAGAGAGGGATATTCCCTAGTCGGAATTGATCCTTTCCGT CTGCTCCAAAACAGTCAAGTCTTCAGCCTCATCAGACCAAACGAAAATCCAGCGCATAAG AGTCAGCTGGTATGGATGGCATGTCACTCTGCTGCATTTGAAGATTTGAGAGTGTCAAGC TTCATCAGAGGAACAAGAGTAGTCCCAAGAGGACAACTATCCACCAGAGGAGTTCAGATT GCTTCAAATGAGAACATGGAGACAATGGACTCCAGCACTCTTGAACTGAGGAGCAGATAC TGGGCTATAAGGACAAGAAGCGGAGGGAACACTAACCAGCAGAGAGCATCTGCAGGGCAA ATCAGCGTGCAGCCCACCTTCTCTGTACAGAGAAACCTCCCATTCGAGAGAGCAACCATT ATGGCGGCATTTACGGGAAATACCGAGGGTAGAACTTCAGACATGAGGACTGAGATCATA AGGATGATGGAAAATGCCAGACCTGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAG CTCTCGGACGAAAAGGCAACGAACCCGATCGTGCCTTCCTTTGACATGAGTAATGAAGGA TCTTATTTCTTCGGAGACAATGCAGAGGAGTATGACAATTAAAGAAAAATACCCTTGTTT CTACT >test_influenza.genome-4 AGCGAAAGCAGGGGTTTAAAATGAATCCAAATCAGAAAATAATAACCATTGGATCAATCT GTCTGGTAGTCGGACTAATTAGCCTAATATTGCAAATAGGGAATATAATCTCAATATGGA TTAGCCATTCAATTCAAACTGGAAGTCAAAACCATACTGGAATATGCAACCAAAACATCA TTACCTATAAAAATAGCACCTGGGTAAAGGACACAACTTCAGTGATATTAACCGGCAATT CATCTCTCTGTCCAATCAGTGGATGGGCTATATACAGCAAGGACAATGGTATAAGAATAG GTTCCAAAGGAGATGTATTTGTCATCAGAGAGCCTTTTATTTCATGCTCTCACTTGGAAT GCAGGACTTTCTTTCTAACTCAAGGGGCCTTGTTGAATGACAAGCATTCTAATGGAACCG TTAAAGACAGAAGCCCTTATAGAACCCTAATGAGCTGCCCTGTTGGTGAAGCTCCTTCCC CATACAATTCAAGGTTTGAGTCTGTTGCTTGGTCAGCAAGTGCTTGTCATGATGGCATTA GTTGGTTGACAATTGGTATTTCCGGCCCAGACAATGGGGCGGTGGCTGTATTAAAATACA ATGGCATAATAACAGATACTATCAAGAGTTGGAGAGGCAATATATTAAGAACACAAGAGT CTGAATGTGCCTGCATTAATGGTTCTTGCTTTACCATAATGACTGATGGGCCGAGTAATG GCCAGGCCTCATACAAAATTTTCAAGGTAGAAAAGGGAAAGGTAGTCAAATCAGTTGAGT TGAATGCTCCTAATTACCACTATGAGGAGTGCTCCTGTTATCCTGATGCTAGCGAGGTAA TGTGTGTGTGCAGAGACAATTGGCATGGTTCAAATCGACCATGGGTGTCCTTCAATCAAA ATCTAGAATATCAAATAGGATACATATGCAGCGGAGTTTTTGGAGACAACCCGCGCCCTA GTGATGGGACAGGCAGTTGTGGTCCAGTTTCTTCTAATGGGGCATATGGAGTGAAGGGGT TTTCATTTAAATACGGTAATGGTGTTTGGATAGGAAGAACTAAAAGTACTAGCTCAAGGA GTGGGTTTGAGATGATCTGGGATCCTAATGGGTGGACTGAGACAGATAGCAGTTTTTCTG TGAAGCAAGATATTGTAGCAATAACTGATTGGTCAGGATATAGCGGAAGTTTTGTCCAGC ATCCAGAACTGACTGGGTTGGATTGCATGAGGCCTTGCTTCTGGGTTGAGCTGATCAGAG GAAGACCCAAGGAGAACACAATCTGGACCAGTGGAAGCAGCATTTCTTTTTGTGGAGTGA ATAGCGACACTGTGGGTTGGTCTTGGCCAGACGGTGCTGAGTTGCCATTCACCATTGACA AGTAGTTTGTTCAAAAAACTCCTTGTTTCTACT >test_influenza.genome-5 AGCGAAAGCAGGTAGATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCT CTCTATCATCCCGTCAGGCCCCCTCAAAGCCGAGATCGCGCAGAGACTTGAAGATGTGTT CGCAGGGAAAAACACCGACCTTGAGGCGCTCATGGAATGGCTAAAGACAAGACCAATCCT GTCACCTCTGACTAAGGGGATCTTAGGATTTGTGTTCACGCTCACCGTGCCCAGTGAGCG AGGACTGCAGCGTAGACGCTTTGTCCAAAATGCCCTTAATGGGAATGGGGATCCAAACAA CATGGACAGAGCAGTCAAACTGTACAGGAAGCTCAAAAGGGAGATAACATTCCATGGGGC AAAGGAGGTAGCACTCAGTTACTCAACTGGTGCACTTGCCAGCTGCATGGGTCTCATATA CAACAGGATGGGGACTGTGACCACTGAAGTGGCATTTGGCCTGGTGTGTGCCACGTGTGA GCAGATTGCTGACTCCCAGCATCGGTCTCACAGACAAATGGTAACAACAACCAACCCACT AATAAGACACGAGAACAGGATGGTACTGGCTAGTACTACAGCTAAGGCCATGGAGCAAAT GGCAGGGTCAAGTGAGCAAGCAGCAGAGGCTATGGAGGTTGCTAGTCAGGCTAGACAGAT GGTGCAGGCAATGAGGACTATTGGGACTCACCCTAGCTCCAGTGCTGGTCTAAAAGATGA TCTTCTTGAAAATTTGCAGGCCTACCAGAAACGGATGGGAGTGCAGATGCAGCGATTCAA GTGATCCTCTCGTTATTGCCGCAAGTATCATTGGGATCTTGCACTTGATATTGTGGATTC TTGATCGTCTTTTCTTCAAATGCATTTATCGTCGCCTTAAATACGGTTTGAAAAGAGGGC CTTCTACGGAAGGAGTGCCTGAGTCTATGAGGGAAGAATATCGGCAGGAACAGCAGAGTG CTGTGGATGTTGACAATGGTCATTTTGTCAACATAGAGCTGGAGTAAAAAACTACCTTGT TTCTACT ================================================ FILE: tests/input/TestOrderOrientAndImputeFromReference/expected.influenza.impute.muscle.fasta ================================================ >test_influenza.genome-1 AGCGAAAGCAGGTCAATTATATTCAATATGGAGAGAATAAAAGAACTAAGAGATTTAATG TCACAATCCCGCACTCGCGAGATACTAACCAAAACCACTGTTGACCACATGGCCATAATC AAAAAGTACACATCGGGAAGGCAAGAGAAGAACCCCGCACTCAGGATGAAATGGATGATG GCAATGAAATATCCAATCACAGCTGACAAGCGAATAATGGAAATGATCCCTGAAAGGAAT GAACAAGGGCAAACCCTCTGGAGCAAAACAAACGATGCCGGATCAGACCGAGTGATGGTA TCACCCCTGGCTGTAACATGGTGGAATAGGAATGGACCAACAACAAGTACAGTTCACTAT CCCAAGGTATATAAAACTTATTTCGAAAAGGTTGAAAGGTTGAAACACGGGACCTTTGGC CCTGTACACTTCAGAAACCAAGTTAAGATAAGACGGAGGGTCGACATAAACCCGGGCCAT GCTGACCTCAGTGCCAAAGAGGCGCAGGATGTAATCATGGAAGTTGTCTTTCCAAATGAA GTGGGAGCGAGAATACTGACGTCGGAATCACAATTGACGATAACAAAGGAGAAGAAAGAA GAACTCCAGGACTGCAAAATCGCCCCTCTGATGGTTGCATACATGCTAGAAAGAGAGTTG GTTCGCAAGACAAGGTTTCTCCCAGTGGCTGGTGGAACAAGCAGTGTCTACATTGAGGTG CTGCATTTGACCCAGGGGACATGCTGGGAGCAGATGTATACTCCGGGAGGAGAAGTGAGA AACGATGATGTAGACCAGAGCTTGATTATCGCTGCCAGGAACATAGTGAGAAGAGCAACA GTGTCAGCAGACCCACTAGCATCTCTATTGGAGATGTGCCACAGCACACAAATTGGGGGA ATAAGGATGGTAGACATTCTCCGGCAAAATCCAACAGAGGAACAAGCCGTGGACATATGC AAGGCAGCAATGGGCTTGAGGATTAGCTCATCTTTCAGTTTTGGTGGATTCACTTTTAAA AGAACGAGTGGATCGTCAGTCAAAAAGGAAGAAGAAGTGCTTACGGGCAACCTTCAAACA TTGAAAATAAGAGTGCATGAGGGGTATGAAGAGTTCACAATGGTTGGAAGAAGAGCAACG GCCATTCTCAGAAAGGCAACCAGAAGGCTGATCCAGTTAATAGTAAGTGGAAGAGACGAG CAGTCAATTGCTGAAGCAATAATTGTGGCCATGGTATTCTCACAAGAGGACTGCATGATT AAGGCAGTTCGAGGTGATCTGAATTTTGTCAATAGGGCGAACCAGCGGCTGAATCCAATG CATCAGCTCTTGAGACACTTCCAAAAGGATGCAAAAGTGCTTTTCCAAAATTGGGGAATT GAACCCATTGACAATGTGATGGGAATGATCGGGATATTGCCTGACATGACCCCAAGTACT GAGATGTCACTGAGGGGAATAAGAATCAGTAAGATGGGGGTAGATGAATACTCCAGCACA GAGCGGGTAGTAGTAAGCATCGACCGATTTTTAAGAGTTCGAGACCAACGAGGGAACGTG CTATTGTCACCCGAAGAAGTCAGCGAGGCACAAGGAACAGAGAAACTGACAATCACTTAT TCGTCATCAATGATGTGGGAGATTAATGGTCCTGAGTCGGTGTTGGTCAATACTTATCAG TGGATAATCAGAAACTGGGAAACTGTAAAAATTCAATGGTCACAGGATCCCACAATGTTG TATAATAAGATGGAATTCGAGCCATTTCAGTCTCTGGTCCCTAAGGCAGCCAGAGGTCAA TACAGTGGGTTCGTGAGGACACTGTTCCAGCAGATGCGAGATGTGCTTGGAACATTCGAC ACTGTTCAGATAATAAAACTCCTCCCCTTTGCTGCTGCCCCACCGGAACAAAGTAGGATG CAGTTCTCCTCCCTGACTGTGAATGTGAGAGGATCAGGAATGAGAATACTGGTAAGAGGC AATTCCCCAGTGTTCAATTACAACAAGGCCACCAAGAGGCTCACAGTTCTCGGGAAAGAT GCAGGTGCATTGACCGAAGATCCAGATGAAGGCACAGCTGGAGTGGAGTCTGCTGTTTTA AGAGGATTCCTCATTTTGGGCAAAGAAGACAAGAGATATGGCCCAGCATTGAGCATCAAT GAGCTGAGCAATCTTGCAAAGGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTG GTGTTGGTGATGAAACGGAAACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACC AAAAGAATTCGGATGGCCATCAATTAGTGTCGAATTGTTTAAAAACGACCTTGTTTCTAC T >test_influenza.genome-2 AGCGAAAGCAGGTACTGATCCAAAATGGAAGACTTTGTGCGACAATGCTTCAATCCAATG ATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATTGAAACT AACAAGTTTGCTGCAATATGCACCCACTTAGAAGTCTGTTTCATGTATTCGGATTTTCAT TTCATCGACGAACGGGGTGAATCAATAATTGTAGAATCTGGTGACCCAAATGCATTACTG AAGCACCGATTCGAGATAATTGAAGGAAGAGATCGAACCATGGCCTGGACAGTGGTGAAT AGTATCTGCAACACCACAGGGGTAGAGAAGCCTAAATTTCTTCCGGATCTGTATGACTAC AAGGAGAACAGATTCATTGAAATTGGGGTGACACGGAGGGAGGTTCACATATACTACCTA GAAAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGA GAGGAAATGGCCACCAAAGCGGACTACACCCTTGATGAAGAAAGCAGAGCAAGAATCAAA ACCAGATTGTTCACCATAAGACAAGAAATGGCCAGTAGAGGTTTGTGGGATTCCTTTCGT CAGTCCGAGAGAGGCGAAGAGACAATTGAAGAAAGATTTGAAATTACAGGAACCATGCGC AGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTAT GTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAA GTGAACGCAAGAATTGAACCATTCTTGAAAACAACACCACGCCCACTCAGATTACCTGAT GGGCCTCCTTGTTCCCAGCGGTCAAAATTTCTGTTGATGGATGCTCTGAAACTAAGTATT GAGGACCCGAGTCATGAGGGGGAGGGAATACCGCTATATGATGCAATCAAATGCATGAAG ACATTTTTTGGCTGGAAAGAACCTAACATAATCAAACCACATGAGAAAGGCATAAACCCC AACTACCTCCTGACTTGGAAGCAAGTACTAGCGGAACTCCAAGACATTGAGAATGAAGAG AAGATCCCAAAGACAAAGAACATGAAGAAAACAAGCCAACTGAAGTGGGCACTTGGTGAA AATATGGCACCAGAGAAAGTAGACTTTGATGATTGCAAAGATATTAGTGATCTTAAACAG TATGACAGCGATGAGCCAGAACCTAGGTCGCTAGCAAGCTGGATCCAAAGTGAATTCAAC AAGGCATGTGAATTGACCGATTCAAGCTGGATGGAGCTTGATGAGATAGGGGAAGATGTT GCCCCGATCGAACACATTGCAAGCATGAGGAGAAACTATTTTACAGCAGAAGTGTCCCAT TGCAGGGCTACTGAGTACATAATGAAGGGAGTGTACATAAACACAGCCTTGCTCAATGCA TCTTGTGCAGCCATGGATGACTTCCAGCTGATCCCAATGATAAGCAAATGTAGAACCAAA GAAGGGAGACGGAAAACAAATCTGTATGGATTCATTATAAAAGGAAGGTCTCATTTGAGA AATGACACTGACGTGGTAAATTTTGTGAGTATGGAGTTCTCTCTCACAGACCCGAGACTG GAGCCACACAAATGGGAAAAGTACTGTGTTCTCGAAATAGGGGATATGCTCTTGAGGACT GCGATAGGCCAAGTGTCACGACCCATGTTCCTATATGTGAGAACCAATGGAACTTCAAAG ATCAAGATGAAATGGGGGATGGAAATGAGGCGCTGCCTTCTCCAATCCCTTCAGCAGATT GAGAGCATGATTGAGGCCGAGTCTTCCGTCAAAGAGAAAGATATGACAAAGGAATTCTTT GAGAACAAATCAGAAACATGGCCAATTGGAGAGTCACCCAAGGGAGTGGAAGAAGGCTCT ATTGGGAAAGTATGCAGAACCCTACTGGCAAAGTCTGTATTCAACAGTCTATATGCATCT CCACAACTCGAGGGGTTTTCAGCTGAATCGAGAAAATTGCTTCTCATTGTTCAGGCACTT AGGGACAACCTGGAACCTGGGACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAG TGCCTGATTAATGATCCCTGGGTTTTGCTCAATGCATCTTGGTTCAACTCCTTCCTCACA CATGCACTGAAATAGTTGTGGCAATGCTACTATTTGCTATCCATACTGTCCAAAAAAGTA CCTTGTTTCTACT >test_influenza.genome-3 AGCAAAAGCAGGGTAGATAATCACTCACCGAGTGACATCCACATCATGGCGTCTCAAGGC ACCAAACGATCTTATGAGCAAATGGAAACTGGTGGAGAACGCCAGAATGCCACTGAAATC AGAGCATCTGTTGGGAGAATGGTTGGTGGAATCGGAAGATTCTACATACAGATGTGTACT GAACTCAAGCTCAGTGACTATGAAGGGAGGCTGATCCAAAATAGCATAACCATAGAGAGA ATGGTTCTCTCGGCATTTGATGAGAGGAGAAATAAATATCTGGAAGAGCATCCCAGTGCT GGGAAAGACCCCAAGAAGACTGGAGGCCCAATCTACAGAAGAAGAGATGGAAAATGGATG AGAGAGTTGATCCTATATGACAAAGAAGAGATCAGGAGGATTTGGCGTCAAGCAAATAAC GGAGAAGACGCAACTGCTGGTCTCACCCATTTGATGATTTGGCATTCCAATCTGAATGAT GCCACATACCAGAGAACAAGGGCACTTGTGCGTACTGGGATGGATCCCAGGATGTGCTCC CTGATGCAAGGCTCAACTCTTCCAAGAAGATCTGGGGCTGCTGGAGCAGCAGTGAAAGGG GTTGGAACAATGGCGATGGAACTGATCCGGATGATCAAGCGAGGTATCAATGATAGGAAT TTCTGGAGAGGCGAAAATGGACGGAGGACGAGAATTGCTTATGAAAGAATGTGCAACATC CTCAAGGGGAAATTCCAAACAGCAGCACAACGAGCAATGATGGATCAGGTGAGAGAAAGC CGGAATCCTGGGAATGCTGAAATTGAAGATCTCATCTTCCTTGCAAGGTCTGCTCTCATT CTGAGAGGATCAGTAGCTCATAAGTCCTGCCTGCCTGCTTGTGTGTATGGGCTTGCAGTG GCCAGTGGATACGACTTTGAGAGAGAGGGATATTCCCTAGTCGGAATTGATCCTTTCCGT CTGCTCCAAAACAGTCAAGTCTTCAGCCTCATCAGACCAAACGAAAATCCAGCGCATAAG AGTCAGCTGGTATGGATGGCATGTCACTCTGCTGCATTTGAAGATTTGAGAGTGTCAAGC TTCATCAGAGGAACAAGAGTAGTCCCAAGAGGACAACTATCCACCAGAGGAGTTCAGATT GCTTCAAATGAGAACATGGAGACAATGGACTCCAGCACTCTTGAACTGAGGAGCAGATAC TGGGCTATAAGGACAAGAAGCGGAGGGAACACTAACCAGCAGAGAGCATCTGCAGGGCAA ATCAGCGTGCAGCCCACCTTCTCTGTACAGAGAAACCTCCCATTCGAGAGAGCAACCATT ATGGCGGCATTTACGGGAAATACCGAGGGTAGAACTTCAGACATGAGGACTGAGATCATA AGGATGATGGAAAATGCCAGACCTGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAG CTCTCGGACGAAAAGGCAACGAACCCGATCGTGCCTTCCTTTGACATGAGTAATGAAGGA TCTTATTTCTTCGGAGACAATGCAGAGGAGTATGACAATTAAAGAAAAATACCCTTGTTT CTACT >test_influenza.genome-4 AGCGAAAGCAGGGGTTTAAAATGAATCCAAATCAGAAAATAATAACCATTGGATCAATCT GTCTGGTAGTCGGACTAATTAGCCTAATATTGCAAATAGGGAATATAATCTCAATATGGA TTAGCCATTCAATTCAAACTGGAAGTCAAAACCATACTGGAATATGCAACCAAAACATCA TTACCTATAAAAATAGCACCTGGGTAAAGGACACAACTTCAGTGATATTAACCGGCAATT CATCTCTCTGTCCAATCAGTGGATGGGCTATATACAGCAAGGACAATGGTATAAGAATAG GTTCCAAAGGAGATGTATTTGTCATCAGAGAGCCTTTTATTTCATGCTCTCACTTGGAAT GCAGGACTTTCTTTCTAACTCAAGGGGCCTTGTTGAATGACAAGCATTCTAATGGAACCG TTAAAGACAGAAGCCCTTATAGAACCCTAATGAGCTGCCCTGTTGGTGAAGCTCCTTCCC CATACAATTCAAGGTTTGAGTCTGTTGCTTGGTCAGCAAGTGCTTGTCATGATGGCATTA GTTGGTTGACAATTGGTATTTCCGGCCCAGACAATGGGGCGGTGGCTGTATTAAAATACA ATGGCATAATAACAGATACTATCAAGAGTTGGAGAGGCAATATATTAAGAACACAAGAGT CTGAATGTGCCTGCATTAATGGTTCTTGCTTTACCATAATGACTGATGGGCCGAGTAATG GCCAGGCCTCATACAAAATTTTCAAGGTAGAAAAGGGAAAGGTAGTCAAATCAGTTGAGT TGAATGCTCCTAATTACCACTATGAGGAGTGCTCCTGTTATCCTGATGCTAGCGAGGTAA TGTGTGTGTGCAGAGACAATTGGCATGGTTCAAATCGACCATGGGTGTCCTTCAATCAAA ATCTAGAATATCAAATAGGATACATATGCAGCGGAGTTTTTGGAGACAACCCGCGCCCTA GTGATGGGACAGGCAGTTGTGGTCCAGTTTCTTCTAATGGGGCATATGGAGTGAAGGGGT TTTCATTTAAATACGGTAATGGTGTTTGGATAGGAAGAACTAAAAGTACTAGCTCAAGGA GTGGGTTTGAGATGATCTGGGATCCTAATGGGTGGACTGAGACAGATAGCAGTTTTTCTG TGAAGCAAGATATTGTAGCAATAACTGATTGGTCAGGATATAGCGGAAGTTTTGTCCAGC ATCCAGAACTGACTGGGTTGGATTGCATGAGGCCTTGCTTCTGGGTTGAGCTGATCAGAG GAAGACCCAAGGAGAACACAATCTGGACCAGTGGAAGCAGCATTTCTTTTTGTGGAGTGA ATAGCGACACTGTGGGTTGGTCTTGGCCAGACGGTGCTGAGTTGCCATTCACCATTGACA AGTAGTTTGTTCAAAAAACTCCTTGTTTCTACT >test_influenza.genome-5 AGCGAAAGCAGGTAGATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCT CTCTATCATCCCGTCAGGCCCCCTCAAAGCCGAGATCGCGCAGAGACTTGAAGATGTGTT CGCAGGGAAAAACACCGACCTTGAGGCGCTCATGGAATGGCTAAAGACAAGACCAATCCT GTCACCTCTGACTAAGGGGATCTTAGGATTTGTGTTCACGCTCACCGTGCCCAGTGAGCG AGGACTGCAGCGTAGACGCTTTGTCCAAAATGCCCTTAATGGGAATGGGGATCCAAACAA CATGGACAGAGCAGTCAAACTGTACAGGAAGCTCAAAAGGGAGATAACATTCCATGGGGC AAAGGAGGTAGCACTCAGTTACTCAACTGGTGCACTTGCCAGCTGCATGGGTCTCATATA CAACAGGATGGGGACTGTGACCACTGAAGTGGCATTTGGCCTGGTGTGTGCCACGTGTGA GCAGATTGCTGACTCCCAGCATCGGTCTCACAGACAAATGGTAACAACAACCAACCCACT AATAAGACACGAGAACAGGATGGTACTGGCTAGTACTACAGCTAAGGCCATGGAGCAAAT GGCAGGGTCAAGTGAGCAAGCAGCAGAGGCTATGGAGGTTGCTAGTCAGGCTAGACAGAT GGTGCAGGCAATGAGGACTATTGGGACTCACCCTAGCTCCAGTGCTGGTCTAAAAGATGA TCTTCTTGAAAATTTGCAGGCCTACCAGAAACGGATGGGAGTGCAGATGCAGCGATTCAA GTGATCCTCTCGTTATTGCCGCAAGTATCATTGGGATCTTGCACTTGATATTGTGGATTC TTGATCGTCTTTTCTTCAAATGCATTTATCGTCGCCTTAAATACGGTTTGAAAAGAGGGC CTTCTACGGAAGGAGTGCCTGAGTCTATGAGGGAAGAATATCGGCAGGAACAGCAGAGTG CTGTGGATGTTGACAATGGTCATTTTGTCAACATAGAGCTGGAGTAAAAAACTACCTTGT TTCTACT ================================================ FILE: tests/input/TestOrderOrientAndImputeFromReference/ref.influenza_partial.fasta ================================================ >gi|8486138|ref|NC_002023.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 1, complete sequence AGCGAAAGCAGGTCAATTATATTCAATATGGAAAGAATAAAAGAACTAAGAAATCTAATGTCGCAGTCTC GCACCCGCGAGATACTCACAAAAACCACCGTGGACCATATGGCCATAATCAAGAAGTACACATCAGGAAG ACAGGAGAAGAACCCAGCACTTAGGATGAAATGGATGATGGCAATGAAATATCCAATTACAGCAGACAAG AGGATAACGGAAATGATTCCTGAGAGAAATGAGCAAGGACAAACTTTATGGAGTAAAATGAATGATGCCG GATCAGACCGAGTGATGGTATCACCTCTGGCTGTGACATGGTGGAATAGGAATGGACCAATGACAAATAC AGTTCATTATCCAAAAATCTACAAAACTTATTTTGAAAGAGTCGAAAGGCTAAAGCATGGAACCTTTGGC CCTGTCCATTTTAGAAACCAAGTCAAAATACGTCGGAGAGTTGACATAAATCCTGGTCATGCAGATCTCA GTGCCAAGGAGGCACAGGATGTAATCATGGAAGTTGTTTTCCCTAACGAAGTGGGAGCCAGGATACTAAC ATCGGAATCGCAACTAACGATAACCAAAGAGAAGAAAGAAGAACTCCAGGATTGCAAAATTTCTCCTTTG ATGGTTGCATACATGTTGGAGAGAGAACTGGTCCGCAAAACGAGATTCCTCCCAGTGGCTGGTGGAACAA GCAGTGTGTACATTGAAGTGTTGCATTTGACTCAAGGAACATGCTGGGAACAGATGTATACTCCAGGAGG GGAAGTGAAGAATGATGATGTTGATCAAAGCTTGATTATTGCTGCTAGGAACATAGTGAGAAGAGCTGCA GTATCAGCAGACCCACTAGCATCTTTATTGGAGATGTGCCACAGCACACAGATTGGTGGAATTAGGATGG TAGACATCCTTAAGCAGAACCCAACAGAAGAGCAAGCCGTGGGTATATGCAAGGCTGCAATGGGACTGAG AATTAGCTCATCCTTCAGTTTTGGTGGATTCACATTTAAGAGAACAAGCGGATCATCAGTCAAGAGAGAG GAAGAGGTGCTTACGGGCAATCTTCAAACATTGAAGATAAGAGTGCATGAGGGATATGAAGAGTTCACAA TGGTTGGGAGAAGAGCAACAGCCATACTCAGAAAAGCAACCAGGAGATTGATTCAGCTGATAGTGAGTGG GAGAGACGAACAGTCGATTGCCGAAGCAATAATTGTGGCCATGGTATTTTCACAAGAGGATTGTATGATA AAAGCAGTTAGAGGTGATCTGAATTTCGTCAATAGGGCGAATCAGCGACTGAATCCTATGCATCAACTTT TAAGACATTTTCAGAAGGATGCGAAAGTGCTTTTTCAAAATTGGGGAGTTGAACCTATCGACAATGTGAT GGGAATGATTGGGATATTGCCCGACATGACTCCAAGCATCGAGATGTCAATGAGAGGAGTGAGAATCAGC AAAATGGGTGTAGATGAGTACTCCAGCACGGAGAGGGTAGTGGTGAGCATTGACCGGTTCTTGAGAGTCC GGGACCAACGAGGAAATGTACTACTGTCTCCCGAGGAGGTCAGTGAAACACAGGGAACAGAGAAACTGAC AATAACTTACTCATCGTCAATGATGTGGGAGATTAATGGTCCTGAATCAGTGTTGGTCAATACCTATCAA TGGATCATCAGAAACTGGGAAACTGTTAAAATTCAGTGGTCCCAGAACCCTACAATGCTATACAATAAAA TGGAATTTGAACCATTTCAGTCTTTAGTACCTAAGGCCATTAGAGGCCAATACAGTGGGTTTGTGAGAAC TCTGTTCCAACAAATGAGGGATGTGCTTGGGACATTTGATACCGCACAGATAATAAAACTTCTTCCCTTC GCAGCCGCTCCACCAAAGCAAAGTAGAATGCAGTTCTCCTCATTTACTGTGAATGTGAGGGGATCAGGAA TGAGAATACTTGTAAGGGGCAATTCTCCTGTATTCAACTACAACAAGGCCACGAAGAGACTCACAGTTCT CGGAAAGGATGCTGGCACTTTAACCGAAGACCCAGATGAAGGCACAGCTGGAGTGGAGTCCGCTGTTCTG AGGGGATTCCTCATTCTGGGCAAAGAAGACAGGAGATATGGGCCAGCATTAAGCATCAATGAACTGAGCA ACCTTGCGAAAGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTGGTGTTGGTAATGAAACGAAA ACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACCAAAAGAATTCGGATGGCCATCAATTAGTGT CGAATAGTTTAAAAACGACCTTGTTTCTACT >gi|8486136|ref|NC_002022.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 3, complete sequence AGCGAAAGCAGGTACTGATCCAAAATGGAAGATTTTGTGCGACAATGCTTCAATCCGATGATTGTCGAGC TTGCGGAAAAAACAATGAAAGAGTATGGGGAGGACCTGAAAATCGAAACAAACAAATTTGCAGCAATATG CACTCACTTGGAAGTATGCTTCATGTATTCAGATTTCCACTTCATCAATGAGCAAGGCGAGTCAATAATC GTAGAACTTGGTGATCCTAATGCACTTTTGAAGCACAGATTTGAAATAATCGAGGGAAGAGATCGCACAA TGGCCTGGACAGTAGTAAACAGTATTTGCAACACTACAGGGGCTGAGAAACCAAAGTTTCTACCAGATTT GTATGATTACAAGGAAAATAGATTCATCGAAATTGGAGTAACAAGGAGAGAAGTTCACATATACTATCTG GAAAAGGCCAATAAAATTAAATCTGAGAAAACACACATCCACATTTTCTCGTTCACTGGGGAAGAAATGG CCACAAAGGCCGACTACACTCTCGATGAAGAAAGCAGGGCTAGGATCAAAACCAGGCTATTCACCATAAG ACAAGAAATGGCCAGCAGAGGCCTCTGGGATTCCTTTCGTCAGTCCGAGAGAGGAGAAGAGACAATTGAA GAAAGGTTTGAAATCACAGGAACAATGCGCAAGCTTGCCGACCAAAGTCTCCCGCCGAACTTCTCCAGCC TTGAAAATTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTACATTGAGGGCAAGCTGTCTCAAAT GTCCAAAGAAGTAAATGCTAGAATTGAACCTTTTTTGAAAACAACACCACGACCACTTAGACTTCCGAAT GGGCCTCCCTGTTCTCAGCGGTCCAAATTCCTGCTGATGGATGCCTTAAAATTAAGCATTGAGGACCCAA GTCATGAAGGAGAGGGAATACCGCTATATGATGCAATCAAATGCATGAGAACATTCTTTGGATGGAAGGA ACCCAATGTTGTTAAACCACACGAAAAGGGAATAAATCCAAATTATCTTCTGTCATGGAAGCAAGTACTG GCAGAACTGCAGGACATTGAGAATGAGGAGAAAATTCCAAAGACTAAAAATATGAAAAAAACAAGTCAGC TAAAGTGGGCACTTGGTGAGAACATGGCACCAGAAAAGGTAGACTTTGACGACTGTAAAGATGTAGGTGA TTTGAAGCAATATGATAGTGATGAACCAGAATTGAGGTCGCTTGCAAGTTGGATTCAGAATGAGTTCAAC AAGGCATGCGAACTGACAGATTCAAGCTGGATAGAGCTTGATGAGATTGGAGAAGATGTGGCTCCAATTG AACACATTGCAAGCATGAGAAGGAATTATTTCACATCAGAGGTGTCTCACTGCAGAGCCACAGAATACAT AATGAAGGGGGTGTACATCAATACTGCCTTACTTAATGCATCTTGTGCAGCAATGGATGATTTCCAATTA ATTCCAATGATAAGCAAGTGTAGAACTAAGGAGGGAAGGCGAAAGACCAACTTGTATGGTTTCATCATAA AAGGAAGATCCCACTTAAGGAATGACACCGACGTGGTAAACTTTGTGAGCATGGAGTTTTCTCTCACTGA CCCAAGACTTGAACCACACAAATGGGAGAAGTACTGTGTTCTTGAGATAGGAGATATGCTTCTAAGAAGT GCCATAGGCCAGGTTTCAAGGCCCATGTTCTTGTATGTGAGGACAAATGGAACCTCAAAAATTAAAATGA AATGGGGAATGGAGATGAGGCGTTGTCTCCTCCAGTCACTTCAACAAATTGAGAGTATGATTGAAGCTGA GTCCTCTGTCAAAGAGAAAGACATGACCAAAGAGTTCTTTGAGAACAAATCAGAAACATGGCCCATTGGA GAGTCTCCCAAAGGAGTGGAGGAAAGTTCCATTGGGAAGGTCTGCAGGACTTTATTAGCAAAGTCGGTAT TTAACAGCTTGTATGCATCTCCACAACTAGAAGGATTTTCAGCTGAATCAAGAAAACTGCTTCTTATCGT TCAGGCTCTTAGGGACAATCTGGAACCTGGGACCTTTGATCTTGGGGGGCTATATGAAGCAATTGAGGAG TGCCTAATTAATGATCCCTGGGTTTTGCTTAATGCTTCTTGGTTCAACTCCTTCCTTACACATGCATTGA GTTAGTTGTGGCAGTGCTACTATTTGCTATCCATACTGTCCAAAAAAGTACCTTGTTTCTACT >gi|8486129|ref|NC_002019.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 5, complete sequence AGCAAAAGCAGGGTAGATAATCACTCACTGAGTGACATCAAAATCATGGCGTCCCAAGGCACCAAACGGT CTTACGAACAGATGGAGACTGATGGAGAACGCCAGAATGCCACTGAAATCAGAGCATCCGTCGGAAAAAT GATTGGTGGAATTGGACGATTCTACATCCAAATGTGCACAGAACTTAAACTCAGTGATTATGAGGGACGG TTGATCCAAAACAGCTTAACAATAGAGAGAATGGTGCTCTCTGCTTTTGACGAAAGGAGAAATAAATACC TGGAAGAACATCCCAGTGCGGGGAAGGATCCTAAGAAAACTGGAGGACCTATATACAGAAGAGTAAACGG AAAGTGGATGAGAGAACTCATCCTTTATGACAAAGAAGAAATAAGGCGAATCTGGCGCCAAGCTAATAAT GGTGACGATGCAACGGCTGGTCTGACTCACATGATGATCTGGCATTCCAATTTGAATGATGCAACTTATC AGAGGACAAGGGCTCTTGTTCGCACCGGAATGGATCCCAGGATGTGCTCTCTGATGCAAGGTTCAACTCT CCCTAGGAGGTCTGGAGCCGCAGGTGCTGCAGTCAAAGGAGTTGGAACAATGGTGATGGAATTGGTCAGG ATGATCAAACGTGGGATCAATGATCGGAACTTCTGGAGGGGTGAGAATGGACGAAAAACAAGAATTGCTT ATGAAAGAATGTGCAACATTCTCAAAGGGAAATTTCAAACTGCTGCACAAAAAGCAATGATGGATCAAGT GAGAGAGAGCCGGGACCCAGGGAATGCTGAGTTCGAAGATCTCACTTTTCTAGCACGGTCTGCACTCATA TTGAGAGGGTCGGTTGCTCACAAGTCCTGCCTGCCTGCCTGTGTGTATGGACCTGCCGTAGCCAGTGGGT ACGACTTTGAAAGAGAGGGATACTCTCTAGTCGGAATAGACCCTTTCAGACTGCTTCAAAACAGCCAAGT GTACAGCCTAATCAGACCAAATGAGAATCCAGCACACAAGAGTCAACTGGTGTGGATGGCATGCCATTCT GCCGCATTTGAAGATCTAAGAGTATTGAGCTTCATCAAAGGGACGAAGGTGGTCCCAAGAGGGAAGCTTT CCACTAGAGGAGTTCAAATTGCTTCCAATGAAAATATGGAGACTATGGAATCAAGTACACTTGAACTGAG AAGCAGGTACTGGGCCATAAGGACCAGAAGTGGAGGAAACACCAATCAACAGAGGGCATCTGCGGGCCAA ATCAGCATACAACCTACGTTCTCAGTACAGAGAAATCTCCCTTTTGACAGAACAACCGTTATGGCAGCAT TCACTGGGAATACAGAGGGGAGAACATCTGACATGAGGACCGAAATCATAAGGATGATGGAAAGTGCAAG ACCAGAAGATGTGTCTTTCCAGGGGCGGGGAGTCTTCGAGCTCTCGGACGAAAAGGCAGCGAGCCCGATC GTGCCTTCCTTTGACATGAGTAATGAAGGATCTTATTTCTTCGGAGACAATGCAGAGGAGTACGACAATT AAAGAAAAATACCCTTGTTTCTACT >gi|8486127|ref|NC_002018.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 6, complete sequence AGCGAAAGCAGGGGTTTAAAATGAATCCAAATCAGAAAATAATAACCATTGGATCAATCTGTCTGGTAGT CGGACTAATTAGCCTAATATTGCAAATAGGGAATATAATCTCAATATGGATTAGCCATTCAATTCAAACT GGAAGTCAAAACCATACTGGAATATGCAACCAAAACATCATTACCTATAAAAATAGCACCTGGGTAAAGG ACACAACTTCAGTGATATTAACCGGCAATTCATCTCTTTGTCCCATCCGTGGGTGGGCTATATACAGCAA AGACAATAGCATAAGAATTGGTTCCAAAGGAGACGTTTTTGTCATAAGAGAGCCCTTTATTTCATGTTCT CACTTGGAATGCAGGACCTTTTTTCTGACCCAAGGTGCCTTACTGAATGACAGGCATTCAAATGGGACTG TTAAGGACAGAAGCCCTTATAGGGCCTTAATGAGCTGCCCTGTCGGTGAAGCTCCGTCCCCGTACAATTC AAGATTTGAATCGGTTGCTTGGTCAGCAAGTGCATGTCATGATGGCATGGGCTGGCTAACAATCGGAATT TCAGGTCCAGATAATGGAGCAGTGGCTGTATTAAAATACAACGGCATAATAACTGAAACCATAAAAAGTT GGAGGAAGAAAATATTGAGGACACAAGAGTCTGAATGTGCCTGTGTAAATGGTTCATGTTTTACTATAAT GACTGATGGCCCGAGTGATGGGCTGGCCTCGTACAAAATTTTCAAGATCGAAAAGGGGAAGGTTACTAAA TCAATAGAGTTGAATGCACCTAATTCTCACTATGAGGAATGTTCCTGTTACCCTGATACCGGCAAAGTGA TGTGTGTGTGCAGAGACAATTGGCATGGTTCGAACCGGCCATGGGTGTCTTTCGATCAAAACCTGGATTA TCAAATAGGATACATCTGCAGTGGGGTTTTCGGTGACAACCCGCGTCCCAAAGATGGAACAGGCAGCTGT GGTCCAGTGTATGTTGATGGAGCAAACGGAGTAAAGGGATTTTCATATAGGTATGGTAATGGTGTTTGGA TAGGAAGGACCAAAAGTCACAGTTCCAGACATGGGTTTGAGATGATTTGGGATCCTAATGGATGGACAGA GACTGATAGTAAGTTCTCTGTGAGGCAAGATGTTGTGGCAATGACTGATTGGTCAGGGTATAGCGGGAGT TTCGTTCAACATCCTGAGCTAACAGGGCTAGACTGTATAAGGCCGTGCTTCTGGGTTGAATTAATCAGGG GACGACCTAAAGAAAAAACAATCTGGACTAGTGCGAGCAGCATTTCTTTTTGTGGCGTGAATAGTGATAC TGTAGATTGGTCTTGGCCAGACGGTGCTGAGTTGCCATTCACCATTGACAAGTAGTCTGTTCAAAAAACT CCTTGTTTCTACT >gi|8486122|ref|NC_002016.1| Influenza A virus (A/Puerto Rico/8/1934(H1N1)) segment 7, complete sequence AGCGAAAGCAGGTAGATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCTCTCTATCATC CCGTCAGGCCCCCTCAAAGCCGAGATCGCACAGAGACTTGAAGATGTCTTTGCAGGGAAGAACACCGATC TTGAGGTTCTCATGGAATGGCTAAAGACAAGACCAATCCTGTCACCTCTGACTAAGGGGATTTTAGGATT TGTGTTCACGCTCACCGTGCCCAGTGAGCGAGGACTGCAGCGTAGACGCTTTGTCCAAAATGCCCTTAAT GGGAACGGGGATCCAAATAACATGGACAAAGCAGTTAAACTGTATAGGAAGCTCAAGAGGGAGATAACAT TCCATGGGGCCAAAGAAATCTCACTCAGTTATTCTGCTGGTGCACTTGCCAGTTGTATGGGCCTCATATA CAACAGGATGGGGGCTGTGACCACTGAAGTGGCATTTGGCCTGGTATGTGCAACCTGTGAACAGATTGCT GACTCCCAGCATCGGTCTCATAGGCAAATGGTGACAACAACCAACCCACTAATCAGACATGAGAACAGAA TGGTTTTAGCCAGCACTACAGCTAAGGCTATGGAGCAAATGGCTGGATCGAGTGAGCAAGCAGCAGAGGC CATGGAGGTTGCTAGTCAGGCTAGGCAAATGGTGCAAGCGATGAGAACCATTGGGACTCATCCTAGCTCC AGTGCTGGTCTGAAAAATGATCTTCTTGAAAATTTGCAGGCCTATCAGAAACGAATGGGGGTGCAGATGC AACGGTTCAAGTGATCCTCTCGCTATTGCCGCAAATATCATTGGGATCTTGCACTTGATATTGTGGATTC TTGATCGTCTTTTTTTCAAATGCATTTACCGTCGCTTTAAATACGGACTGAAAGGAGGGCCTTCTACGGA AGGAGTGCCAAAGTCTATGAGGGAAGAATATCGAAAGGAACAGCAGAGTGCTGTGGATGCTGACGATGGT CATTTTGTCAGCATAGAGCTGGAGTAAAAAACTACCTTGTTTCTACT ================================================ FILE: tests/input/TestPerSample/ref.fasta ================================================ >chr1 AGTAGTTCGCCTGTGTGAGCTGACAAACTTAGTAGTGTTTGTGAGGATTAATAACAATTAACACAGTGCG AGCTGTTTCTTAGCACGAAGATCTCGATGTCTAAGAAACCAGGAGGGCCCGGCAAGAGCCGGGCTGTCAA TATGCTAAAACGCGGAATGCCCCGCGTGTTGTCCTTGATTGGACTGAAGAGGGCTATGTTGAGCCTGATC GACGGCAAGGGGCCAATACGATTCGTGTTGGCTCTCTTGGCGTTCTTCAGGTTCACAGCAATTGCTCCGA CCCGAGCAGTGCTGGATCGATGGAGAGGTGTGAACAAACAAACAGCGATGAAACACCTTTTGAGTTTTAA GAAGGAACTAGGGACCTTGACCAGTGCTATCAATCGGCGGAGCTCAAAACAAAAGAGAAGAGGAGGAAAG ACCGGAATTGCAGTTATGATTGGCCTGATCGCCAGCGTAGGAGCAGTTACCCTCTCTAACTTCCAAGGGA AGGTGATGATGACGGTAAATGCTACTGACGTCACAGATGTCATCACGATTCCAACAGCTGCTGGAAAGAA CCTATGCATTGTCAGAGCAATGGATGTGGGATACATGTGCGATGATACTATCACTTATGAATGCCCAGTG CTGTCGGCTGGTAATGATCCAGAAGACATCGACTGTTGGTGCACAAAGTCAGCAGTCTACGTCAGGTATG GAAGATGCACCAAGACACGCCACTCAAGACGCAGTCGGAGGTCACTGACAGTGCAGACACACGGAGAAAG CACTCTAGCGAACAAGAAGGGGGCTTGGATGGACAGCACCAAGGCCACAAGGTATTTGGTAAAAACAGAA TCATGGATCTTGAGGAACCCTGGATATGCCCTGGTGGCAGCCGTCATTGGTTGGATGCTTGGGAGCAACA CCATGCAGAGAGTTGTGTTTGTCGTGTTATTGCTTTTGGTGGCCCCAGCTTACAGCTTCAACTGCCTTGG AATGAGCAACAGAGACTTCTTGGAAGGAGTGTCTGGAGCAACATGGGTGGATTTGGTTCTCGAAGGCGAC AGCTGCGTGACTATCATGTCTAAGGACAAGCCTACCATCGATGTGAAGATGATGAATATGGAGGCGGCCA ACCTGGCAGAGGTCCGCAGTTATTGCTATTTGGCTACCGTCAGCGATCTTTCCACCAAAGCTGCGTGCCC AACCATGGGAGAAGCTCACAATGACAAACGTGCTGATCCAGCTTTTGTGTGCAGACAAGGAGTGGTGGAC AGGGGCTGGGGCAACGGCTGCGGACTATTTGGCAAAGGAAGCATTGACACATGCGCTAAATTTGCCTGCT CTACCAAGGCAATAGGAAGAACCATCTTGAAAGAGAATATCAAGTACGAAGTGGCCATTTTTGTCCATGG ACCAACTACTGTGGAGTCGCACGGAAACTACTCCACACAGGCTGGAGCCACTCAGGCAGGGAGATTCAGC ATCACTCCTGCGGCGCCTTCATACACACTAAAGCTTGGAGAATATGGAGAGGTGACAGTGGACTGTGAAC CACGGTCAGGGATTGACACCAATGCATACTACGTGATGACTGTTGGAACAAAGACGTTCTTGGTCCATCG TGAGTGGTTCATGGACCTCAACCTCCCTTGGAGCAGTGCTGGAAGTACTGTATGGAGGAACAGAGAGACG TTAATGGAGTTTGAGGAACCACACGCTACGAAGCAGTCTGTGATAGCATTGGGCTCACAAGAGGGAGCTT TGCATCAAGCTTTGGCTGGAGCCATTCCTGTGGAATTTTCAAGCAACACTGTCAAGTTGACGTCGGGTCA TTTGAAGTGTAGAGTGAAGATGGAAAAATTGCAGTTGAAGGGAACAACCTATGGCGTCTGTTCAAAGGCT TTCAAGTTTCTTGGGACTCCCGCAGACACAGGTCACGGCACTGTGGTGTTGGAATTGCAGTACACTGGCA CGGATGGACCTTGCAAAGTTCCTATCTCGTCAGTGGCTTCATTGAACGACCTAACGCCAGTGGGCAGATT GGTCACTGTCAACCCTTTTGTTTCAGTGGCCACGGCCAACGCTAAGGTCCTGATTGAATTGGAACCACCC TTTGGAGACTCATACATAGTGGTGGGCAGAGGAGAACAACAGATCAATCACCATTGGCACAAGTCTGGAA GCAGCATTGGCAAAGCCTTTACAACCACCCTCAAAGGAGCGCAGAGACTAGCCGCTCTAGGAGACACAGC TTGGGACTTTGGATCAGTTGGAGGGGTGTTCACCTCAGTTGGGAAGGCTGTCCATCAAGTGTTTGGAGGA GCATTCCGCTCACTGTTCGGAGGCATGTCCTGGATAACGCAAGGATTGCTGGGGGCTCTCCTGTTGTGGA TGGGCATCAATGCTCGTGATAGGTCCATAGCTCTCACGTTTCTCGCAGTTGGAGGAGTTCTGCTCTTCCT CTCCGTGAACGTGCATGCTGACACTGGGTGTGCCATAGACATCAGCCGGCAAGAGCTGAGATGTGGAAGT GGAGTGTTCATACACAATGATGTGGAGGCTTGGATGGACCGGTACAAGTATTACCCTGAAACGCCACAAG GCCTAGCCAAGATCATTCAGAAAGCTCATAAGGAAGGAGTGTGCGGTCTACGATCAGTTTCCAGACTGGA GCATCAAATGTGGGAAGCAGTGAAGGACGAGCTGAACACTCTTTTGAAGGAGAATGGTGTGGACCTTAGT GTCGTGGTTGAGAAACAGGAGGGAATGTACAAGTCAGCACCTAAACGCCTCACCGCCACCACGGAAAAAT TGGAAATTGGCTGGAAGGCCTGGGGAAAGAGTATTTTATTTGCACCAGAACTCGCCAACAACACCTTTGT GGTTGATGGTCCGGAGACCAAGGAATGTCCGACTCAGAATCGCGCTTGGAATAGCTTAGAAGTGGAGGAT TTTGGATTTGGTCTCACCAGCACTCGGATGTTCCTGAAGGTCAGAGAGAGCAACACAACTGAATGTGACT CGAAGATCATTGGAACGGCTGTCAAGAACAACTTGGCGATCCACAGTGACCTGTCCTATTGGATTGAAAG CAGGCTCAATGATACGTGGAAGCTTGAAAGGGCAGTTCTGGGTGAAGTCAAATCATGTACGTGGCCTGAG ACGCATACCTTGTGGGGCGATGGAATCCTTGAGAGTGACTTGATAATACCAGTCACACTGGCGGGACCAC GAAGCAATCACAATCGGAGACCTGGGTACAAGACACAAAACCAGGGCCCATGGGACGAAGGCCGGGTAGA GATTGACTTCGATTACTGCCCAGGAACTACGGTCACCCTGAGTGAGAGCTGCGGACACCGTGGACCTGCC ACTCGCACCACCACGGAGAGCGGAAAGTTGATAACAGATTGGTGCTGCAGGAGCTGCACCTTACCACCAC TGCGCTACCAAACTGATAGCGGCTGTTGGTATGGTATGGAGATCAGACCACAGAGACATGATGAAAAGAC CCTCGTGCAGTCACAAGTGAATGCTTACAATGCTGATATGATTGACCCTTTTCAGTTGGGCCTTCTGGTC GTGTTCTTGGCCACCCAGGAGGTCCTTCGCAAGAGGTGGACAGCCAAGATCAGCATGCCAGCTATACTGA TTGCTCTGCTAGTCCTGGTGTTTGGGGGCATTACTTACACTGATGTGTTACGCTATGTCATCTTGGTGGG GGCAGCTTTCGCAGAATCTAATTCGGGAGGAGACGTGGTACACTTGGCGCTCATGGCGACCTTCAAGATA CAACCAGTGTTTATGGTGGCATCGTTTCTCAAAGCGAGATGGACCAACCAGGAGAACATTTTGTTGATGT TGGCGGCTGTTTTCTTTCAAATGGCTTATCACGATGCCCGCCAAATTCTGCTCTGGGAGATCCCTGATGT GTTGAATTCACTGGCGGTAGCTTGGATGATACTGAGAGCCATAACATTTACAACGACATCAAACGTGGTT GTTCCGCTGCTAGCCCTGCTAACACCCGGGCTGAGATGCTTGAATCTGGATGTGTACAGGATACTGCTGT TGATGGTCGGAATAGGCAGCTTGATCAAGGAGAAGAGGAGTGCAGCTGCAAAAAAGAAAGGAGCAAGTCT GCTATGCTTGGCTCTGGCCTCAACAGGACTTTTCAACCCCATGATCCTTGCTGCTGGACTGATTGCATGT GATCCCAACCGTAAACGCGGATGGCCCGCAACTGAAGTGATGACAGCTGTCGGCCTAATGTTTGCCATCG TCGGAGGGCTGGCAGAGCTTGACATTGACTCCATGGCCATTCCAATGACTATCGCGGGGCTCATGTTTGC TGCTTTCGTGATTTCTGGGAAATCAACAGATATGTGGATTGAGAGAACGGCGGACATTTCCTGGGAAAGT GATGCAGAAATTACAGGCTCGAGCGAAAGAGTTGATGTGCGGCTTGATGATGATGGAAACTTCCAGCTCA TGAATGATCCAGGAGCACCTTGGAAGATATGGATGCTCAGAATGGTCTGCCTCGCGATTAGTGCGTACAC CCCCTGGGCAATCTTGCCCTCAGTAATTGGATTTTGGATAACTCTCCAATACACAAAGAGAGGAGGCGTG TTGTGGGACACTCCCTCACCAAAGGAGTACAAAAAGGGGGACACGACCACCGGCGTCTACAGGATCATGA CTCGTGGGCTGCTCGGCAGTTATCAAGCAGGAGCGGGCGTGATGGTTGAAGGTGTTTTTCACACCCTTTG GCATACAACAAAAGGAGCCGCTTTGATGAGCGGAGAGGGCCGTCTGGACCCATACTGGGGCAGTGTCAAG GAGGATCGACTTTGTTACGGAGGACCCTGGAAATTGCAGCACAAGTGGAACGGGCAGGATGAGGTGCAGA TGATTGTGGTGGAACCTGGCAAGAACGTTAAGAACGTCCAGACGAAACCAGGGGTGTTCAAAACACCTGA AGGAGAAATCGGGGCCGTGACTTTGGACTTCCCCACTGGAACATCAGGCTCACCAATAGTGGACAAAAAC GGTGATGTGATTGGGCTTTATGGCAATGGAGTCATAATGCCCAACGGCTCATACATAAGCGCGATAGTGC AGGGTGAAAGGATGGATGAGCCAATCCCAGCCGGATTCGAACCTGAGATGCTGAGGAAAAAACAGATCAC TGTACTGGATCTCCATCCCGGCGCCGGTAAAACAAGGAGGATTCTGCCACAGATCATCAAAGAGGCCATA AACAGAAGACTGAGAACAGCCGTGCTAGCACCAACCAGGGTTGTGGCTGCTGAGATGGCTGAAGCACTGA GAGGACTGCCCATCCGGTACCAGACATCCGCAGTGCCCAGAGAACATAATGGAAATGAGATTGTTGATGT CATGTGTCATGCTACCCTCACCCACAGGCTGATGTCTCCTCACAGGGTGCCGAACTACAACCTGTTTGTG ATGGATGAGGCTCATTTCACCGACCCAGCTAGCATTGCAGCAAGAGGTTACATTTCCACAAAGGTCGAGC TAGGGGAGGCGGCGGCAATATTCATGACAGCCACCCCACCAGGCACTTCAGATCCATTCCCAGAGTCCAA TTCACCAATTTCCGACTTACAGACTGAGATCCCGGATCGAGCTTGGAACTCTGGATACGAATGGATCACA GAATACACCGGGAAGACGGTTTGGTTTGTGCCTAGTGTCAAGATGGGGAATGAGATTGCCCTTTGCCTAC AACGTGCTGGAAAGAAAGTAGTCCAATTGAACAGAAAGTCCTACGAGACGGAGTACCCAAAATGTAAGAA CGATGATTGGGACTTTGTTATCACAACAGATATATCTGAAATGGGGGCTAACTTCAAGGCGAGCAGGGTG ATTGACAGTCGGAAGAGTGTGAAACCAACCATCATAACAGAAGGAGAAGGGAGAGTGATCCTGGGAGAAC CATCTGCAGTGACAGCAGCTAGTGCCGCCCAGAGACGTGGACGTATCGGTAGAAATCCGTCGCAAGTTGG TGATGAGTACTGTTATGGGGGGCACACGAATGAAGACGACTCTAACTTCGCCCATTGGACTGAGGCACGA ATCATGCTGGACAACATCAACATGCCAAACGGACTGATCGCTCAATTTTACCAACCAGAGCGTGAGAAGG TATACACCATGGATGGGGAATACCGGCTCAGAGGAGAAGAGAGAAAAAACTTTCTGGAACTGTTGAGGAC TGCAGATCTGCCAGTTTGGCTGGCTTACAAGGTTGCAGCGGCTGGAGTGTCATACCACGACCGGAGGTGG TGCTTTGATGGCCCTAGGACAAACACAGTTTTAGAAGACAACAACGAAGTGGAAGTCATCACGAAGCTTG GTGAAAGGAAGATTCTGAGGCCGCGCTGGATTGACGCCAGGGTGTACTCGGATCATCAGGCACTAAAGGC GTTCAAGGACTTCGCCTCGGGAAAACGTTCTCAGATAGGGCTCATTGAGGTTCTGGGAAAGATGCCTGAG CACTTCATGGGGAAGACATGGGAAGCACTCGACACCATGTACGTTGTGGCCACTGCAGAGAAAGGAGGAA GAGCTCACAGAATGGCCCTGGAGGAACTGCCAGATGCTCTTCAGACAATTGCCTTGATTGCCTTATTGAG TGTGATGACCATGGGAGTATTCTTCCTCCTCATGCAGCGGAAGGGCATTGGAAAGATAGGTCTGGGAGGC GCTGTCTTGGGAGTCGCGACCTTTTTCTGTTGGATGGCTGAAGTTCCAGGAACGAAGATCGCCGGAATGT TGCTGCTCTCCCTTCTCTTGATGATTGTGCTAATTCCTGAGCCAGAGAAGCAACGTTCGCAGACAGACAA CCAGCTAGCCGTGTTCCTGATTTGTGTCATGACCCTTGTGAGCGCAGTGGCAGCCAACGAGATGGGCTGG CTAGATAAGACCAAGAGTGACATAAGCAGTTTGTTTGGGCAAAGAATTGAGGTCAAGGAGAATTTTAGCA TGGGAGAGTTTCTTCTGGACTTGAGGCCGGCAACAGCCTGGTCACTGTACGCTGTGACAACAGCGGTCCT CACTCCACTGCTAAAGCATTTGATTACGTCAGATTACATCAACACCTCATTGACCTCAATAAACGTTCAG GCAAGTGCACTATTCACACTCGCGCGAGGCTTCCCCTTCGTCGATGTTGGAGTGTCGGCTCTCCTGCTAG CAGCCGGATGCTGGGGACAAGTCACCCTCACCGTTACGGTAACAGCGGCAACACTCCTTTTTTGCCACTA TGCCTACATGGTTCCCGGTTGGCAAGCTGAGGCAATGCGCTCAGCCCAGCGGCGGACAGCGGCCGGAATC ATGAAGAACGCTGTAGTGGATGGCATCGTGGCCACGGACGTCCCCGAATTAGAGCGCACCACACCCATCA TGCAGAAGAAAGTTGGACAGATCATGCTGATCTTGGTGTCTCTAGCTGCAGTAGTAGTGAACCCGTCTGT GAAGACAGTACGAGAAGCCGGAATTTTGATCACGGCCGCAGCGGTGACGCTTTGGGAGAATGGAGCAAGC TCTGTTTGGAACGCAACAACTGCCATCGGACTCTGCCACATTATGCGTGGGGGTTGGTTGTCATGTCTAT CCATAACATGGACACTCATAAAGAACATGGAAAAACCAGGACTAAAAAGAGGTGGGGCAAAAGGACGCAC CTTGGGAGAGGTTTGGAAAGAAAGACTCAACCAGATGACAAAAGAAGAGTTCACTAGGTACCGCAAAGAG GCCATCATCGAAGTCGATCGCTCAGCGGCAAAACACGCCAGGAAAGAAGGCAATGTCACTGGAGGGCATC CAGTCTCTAGGGGCACAGCAAAACTGAGATGGCTGGTCGAACGGAGGTTTCTCGAACCGGTCGGAAAAGT GATTGACCTTGGATGTGGAAGGGGCGGCTGGTGTTACTATATGGCAACCCAAAAAAGAGTCCAAGAAGTC AGAGGGTACACAAAGGGCGGTCCCGGACATGAAGAGCCCCAACTAGTGCAAAGTTATGGATGGAACATTG TCACCATGAAGAGTGGAGTGGATGTGTTCTACAGACCTTCTGAGTGTTGTGACACCCTCCTTTGTGACAT CGGAGAGTCCTCGTCAAGTGCTGAGGTTGAAGAGCATAGGACGATTCGGGTCCTTGAAATGGTTGAGGAC TGGCTGCACCGAGGGCCAAGGGAATTTTGCGTGAAGGTGCTCTGCCCCTACATGCCGAAGGTCATAGAGA AGATGGAGCTGCTCCAACGCCGGTATGGGGGGGGACTGATCAGAAACCCACTCTCACGGAATTCCACGCA CGAGATGTATTGGGTGAGTCGAGCTTCAGGCAATGTGGTACATTCAGTGAATATGACCAGCCAGGTGCTC CTAGGAAGAATGGAAAAAAGGACCTGGAAGGGACCCCAATACGAGGAAGATGTAAACTTGGGAAGTGGAA CCAGGGCGGTGGGAAAACCCTTGCTCAACTCAGACACCAGTAAAATCAAGAACAGGATTGAACGACTCAG GCGTGAGTACAGTTCGACGTGGCACCACGATGAGAACCACCCATATAGAACCTGGAACTATCACGGTAGT TATGATGTGAAGCCCACAGGCTCCGCCAGTTCGCTGGTCAATGGAGTGGTCAGGCTCCTCTCAAAACCAT GGGACACCATCACGAATGTTACCACCATGGCCATGACTGACACTACTCCCTTCGGGCAGCAGCGAGTGTT CAAAGAGAAGGTGGACACGAAAGCTCCAGAACCGCCAGAAGGAGTGAAGTACGTGCTCAACGAGACCACT AACTGGTTGTGGGCGTTTTTGGCCAGAGAAAAACGTCCCAGAATGTGCTCTCGAGAGGAATTCATAAGAA AGGTCAACAGCAATGCAGCTTTGGGTGCCATGTTTGAAGAGCAGAATCAATGGAGGAGCGCCAGAGAAGC AGTTGAAGATCCAAAATTTTGGGAGATGGTGGATGAGGAGCGCGAGGCACATCTGCGGGGGGAATGTCAC ACTTGCATTTACAACATGATGGGAAAGAGAGAGAAAAAACCCGGAGAGTTCGGAAAGGCCAAGGGAAGCA GAGCCATTTGGTTCATGTGGCTCGGAGCTCGCTTTCTGGAGTTCGAGGCTCTGGGTTTTCTCAATGAAGA CCACTGGCTTGGAAGAAAGAACTCAGGAGGAGGTGTCGAGGGCTTGGGCCTCCAAAAACTGGGTTACATC CTGCGTGAAGTTGGCACCCGGCCTGGGGGCAAGATCTATGCTGATGACACAGCTGGCTGGGACACCCGCA TCACGAGAGCTGACTTGGAAAATGAAGCTAAGGTGCTTGAGTTGCTTGATGGGGAACATCGGCGTCTTGC TAGGGCCATCATTGAGCTCACCTATCGTCACAAAGTTGTGAAAGTGATGCGCCCGGCTGCTGATGGAAGA ACCGTCATGGATGTTATCTCCAGAGAAGATCAGAGGGGGAGTGGACAAGTTGTCACCTACGCCCTAAACA CTTTCACCAACCTGGCCGTCCAGCTGGTGAGGATGATGGAAGGGGAAGGAGTGATTGGCCCAGATGATGT GGAGAAACTCACAAAAGGGAAAGGACCCAAAGTCAGGACCTGGCTGTTTGAGAATGGGGAAGAAAGACTC AGCCGCATGGCTGTCAGTGGAGATGACTGTGTGGTAAAGCCCCTGGACGATCGCTTTGCCACCTCGCTCC ACTTCCTCAATGCTATGTCAAAGGTTCGCAAAGACATCCAAGAGTGGAAACCGTCAACTGGATGGTATGA TTGGCAGCAGGTTCCATTTTGCTCAAACCATTTCACTGAACTGATCATGAAAGATGGAAGAACACTGGTG GTTCCATGCCGAGGACAGGATGAATTGGTAGGCAGAGCTCGCATATCTCCAGGGGCCGGATGGAACGTCC GTGACACTGCTTGTCTGGCTAAGTCTTATGCCCAGATGTGGCTGCTTCTGTACTTCCACAGAAGAGACCT GCGGCTCATGGCCAACGCCATTTGCTCCGCTGTCCCTGTGAATTGGGTCCCTACCGGAAGAACCACGTGG TCCATCCATGCAGGAGGAGAGTGGATGACAACAGAGGACATGTTGGAGGTCTGGAACCGTGTTTGGATAG AGGAGAATGAATGGATGGAAGACAAAACCCCAGTGGAGAAATGGAGTGACGTCCCATATTCAGGAAAACG AGAGGACATCTGGTGTGGCAGCCTGATCGGCACAAGAGCCCGAGCCACGTGGGCAGAAAACATCCAGGTG GCTATCAACCAAGTTAGAGCAATCATCGGAGATGAGAAGTATGTGGATTACATGAGTTCACTAAAGAGAT ATGAAGACACAACTTTGGTTGAGGACACAGTACTGTAGATATTTAATCAATTGTAAATAGACAATATAAG TATGTATGAAAGTGTAGTTTATAGTAGTATTTAGTGGTGTTAGTGTAAATAGGTAAGAAAATTTTGAGGA GAAAGTCAGGCCGGGAAGTTCCTGCCACCGGAAGTTGAGTAGACGGTGCTGCCTGCGACTCAACCCCAGG AGGACTGGGTGAGCAAAGCCGCGAAGTGATCCATGTAAGCCCTCAGAACCG >chr2 AGTAGTTCGCCTGTGTGAGCTGACAAACTTAGTAGTGTTTGTGAGGATTAATAACAATTAACACAGTGCG AGCTGTTTCTTAGCACGAAGATCTCGATGTCTAAGAAACCAGGAGGGCCCGGCAAGAGCCGGGCTGTCAA TATGCTAAAACGCGGAATGCCCCGCGTGTTGTCCTTGATTGGACTGAAGAGGGCTATGTTGAGCCTGATC GACGGCAAGGGGCCAATACGATTCGTGTTGGCTCTCTTGGCGTTCTTCAGGTTCACAGCAATTGCTCCGA CCCGAGCAGTGCTGGATCGATGGAGAGGTGTGAACAAACAAACAGCGATGAAACACCTTTTGAGTTTTAA GAAGGAACTAGGGACCTTGACCAGTGCTATCAATCGGCGGAGCTCAAAACAAAAGAGAAGAGGAGGAAAG ACCGGAATTGCAGTTATGATTGGCCTGATCGCCAGCGTAGGAGCAGTTACCCTCTCTAACTTCCAAGGGA AGGTGATGATGACGGTAAATGCTACTGACGTCACAGATGTCATCACGATTCCAACAGCTGCTGGAAAGAA CCTATGCATTGTCAGAGCAATGGATGTGGGATACATGTGCGATGATACTATCACTTATGAATGCCCAGTG CTGTCGGCTGGTAATGATCCAGAAGACATCGACTGTTGGTGCACAAAGTCAGCAGTCTACGTCAGGTATG GAAGATGCACCAAGACACGCCACTCAAGACGCAGTCGGAGGTCACTGACAGTGCAGACACACGGAGAAAG CACTCTAGCGAACAAGAAGGGGGCTTGGATGGACAGCACCAAGGCCACAAGGTATTTGGTAAAAACAGAA TCATGGATCTTGAGGAACCCTGGATATGCCCTGGTGGCAGCCGTCATTGGTTGGATGCTTGGGAGCAACA CCATGCAGAGAGTTGTGTTTGTCGTGTTATTGCTTTTGGTGGCCCCAGCTTACAGCTTCAACTGCCTTGG AATGAGCAACAGAGACTTCTTGGAAGGAGTGTCTGGAGCAACATGGGTGGATTTGGTTCTCGAAGGCGAC AGCTGCGTGACTATCATGTCTAAGGACAAGCCTACCATCGATGTGAAGATGATGAATATGGAGGCGGCCA ACCTGGCAGAGGTCCGCAGTTATTGCTATTTGGCTACCGTCAGCGATCTTTCCACCAAAGCTGCGTGCCC AACCATGGGAGAAGCTCACAATGACAAACGTGCTGATCCAGCTTTTGTGTGCAGACAAGGAGTGGTGGAC AGGGGCTGGGGCAACGGCTGCGGACTATTTGGCAAAGGAAGCATTGACACATGCGCTAAATTTGCCTGCT CTACCAAGGCAATAGGAAGAACCATCTTGAAAGAGAATATCAAGTACGAAGTGGCCATTTTTGTCCATGG ACCAACTACTGTGGAGTCGCACGGAAACTACTCCACACAGGCTGGAGCCACTCAGGCAGGGAGATTCAGC ATCACTCCTGCGGCGCCTTCATACACACTAAAGCTTGGAGAATATGGAGAGGTGACAGTGGACTGTGAAC CACGGTCAGGGATTGACACCAATGCATACTACGTGATGACTGTTGGAACAAAGACGTTCTTGGTCCATCG TGAGTGGTTCATGGACCTCAACCTCCCTTGGAGCAGTGCTGGAAGTACTGTATGGAGGAACAGAGAGACG TTAATGGAGTTTGAGGAACCACACGCTACGAAGCAGTCTGTGATAGCATTGGGCTCACAAGAGGGAGCTT TGCATCAAGCTTTGGCTGGAGCCATTCCTGTGGAATTTTCAAGCAACACTGTCAAGTTGACGTCGGGTCA TTTGAAGTGTAGAGTGAAGATGGAAAAATTGCAGTTGAAGGGAACAACCTATGGCGTCTGTTCAAAGGCT TTCAAGTTTCTTGGGACTCCCGCAGACACAGGTCACGGCACTGTGGTGTTGGAATTGCAGTACACTGGCA CGGATGGACCTTGCAAAGTTCCTATCTCGTCAGTGGCTTCATTGAACGACCTAACGCCAGTGGGCAGATT GGTCACTGTCAACCCTTTTGTTTCAGTGGCCACGGCCAACGCTAAGGTCCTGATTGAATTGGAACCACCC TTTGGAGACTCATACATAGTGGTGGGCAGAGGAGAACAACAGATCAATCACCATTGGCACAAGTCTGGAA GCAGCATTGGCAAAGCCTTTACAACCACCCTCAAAGGAGCGCAGAGACTAGCCGCTCTAGGAGACACAGC TTGGGACTTTGGATCAGTTGGAGGGGTGTTCACCTCAGTTGGGAAGGCTGTCCATCAAGTGTTTGGAGGA GCATTCCGCTCACTGTTCGGAGGCATGTCCTGGATAACGCAAGGATTGCTGGGGGCTCTCCTGTTGTGGA TGGGCATCAATGCTCGTGATAGGTCCATAGCTCTCACGTTTCTCGCAGTTGGAGGAGTTCTGCTCTTCCT CTCCGTGAACGTGCATGCTGACACTGGGTGTGCCATAGACATCAGCCGGCAAGAGCTGAGATGTGGAAGT GGAGTGTTCATACACAATGATGTGGAGGCTTGGATGGACCGGTACAAGTATTACCCTGAAACGCCACAAG GCCTAGCCAAGATCATTCAGAAAGCTCATAAGGAAGGAGTGTGCGGTCTACGATCAGTTTCCAGACTGGA GCATCAAATGTGGGAAGCAGTGAAGGACGAGCTGAACACTCTTTTGAAGGAGAATGGTGTGGACCTTAGT GTCGTGGTTGAGAAACAGGAGGGAATGTACAAGTCAGCACCTAAACGCCTCACCGCCACCACGGAAAAAT TGGAAATTGGCTGGAAGGCCTGGGGAAAGAGTATTTTATTTGCACCAGAACTCGCCAACAACACCTTTGT GGTTGATGGTCCGGAGACCAAGGAATGTCCGACTCAGAATCGCGCTTGGAATAGCTTAGAAGTGGAGGAT TTTGGATTTGGTCTCACCAGCACTCGGATGTTCCTGAAGGTCAGAGAGAGCAACACAACTGAATGTGACT CGAAGATCATTGGAACGGCTGTCAAGAACAACTTGGCGATCCACAGTGACCTGTCCTATTGGATTGAAAG CAGGCTCAATGATACGTGGAAGCTTGAAAGGGCAGTTCTGGGTGAAGTCAAATCATGTACGTGGCCTGAG ACGCATACCTTGTGGGGCGATGGAATCCTTGAGAGTGACTTGATAATACCAGTCACACTGGCGGGACCAC GAAGCAATCACAATCGGAGACCTGGGTACAAGACACAAAACCAGGGCCCATGGGACGAAGGCCGGGTAGA GATTGACTTCGATTACTGCCCAGGAACTACGGTCACCCTGAGTGAGAGCTGCGGACACCGTGGACCTGCC ACTCGCACCACCACGGAGAGCGGAAAGTTGATAACAGATTGGTGCTGCAGGAGCTGCACCTTACCACCAC TGCGCTACCAAACTGATAGCGGCTGTTGGTATGGTATGGAGATCAGACCACAGAGACATGATGAAAAGAC CCTCGTGCAGTCACAAGTGAATGCTTACAATGCTGATATGATTGACCCTTTTCAGTTGGGCCTTCTGGTC GTGTTCTTGGCCACCCAGGAGGTCCTTCGCAAGAGGTGGACAGCCAAGATCAGCATGCCAGCTATACTGA TTGCTCTGCTAGTCCTGGTGTTTGGGGGCATTACTTACACTGATGTGTTACGCTATGTCATCTTGGTGGG GGCAGCTTTCGCAGAATCTAATTCGGGAGGAGACGTGGTACACTTGGCGCTCATGGCGACCTTCAAGATA CAACCAGTGTTTATGGTGGCATCGTTTCTCAAAGCGAGATGGACCAACCAGGAGAACATTTTGTTGATGT TGGCGGCTGTTTTCTTTCAAATGGCTTATCACGATGCCCGCCAAATTCTGCTCTGGGAGATCCCTGATGT GTTGAATTCACTGGCGGTAGCTTGGATGATACTGAGAGCCATAACATTTACAACGACATCAAACGTGGTT GTTCCGCTGCTAGCCCTGCTAACACCCGGGCTGAGATGCTTGAATCTGGATGTGTACAGGATACTGCTGT TGATGGTCGGAATAGGCAGCTTGATCAAGGAGAAGAGGAGTGCAGCTGCAAAAAAGAAAGGAGCAAGTCT GCTATGCTTGGCTCTGGCCTCAACAGGACTTTTCAACCCCATGATCCTTGCTGCTGGACTGATTGCATGT GATCCCAACCGTAAACGCGGATGGCCCGCAACTGAAGTGATGACAGCTGTCGGCCTAATGTTTGCCATCG TCGGAGGGCTGGCAGAGCTTGACATTGACTCCATGGCCATTCCAATGACTATCGCGGGGCTCATGTTTGC TGCTTTCGTGATTTCTGGGAAATCAACAGATATGTGGATTGAGAGAACGGCGGACATTTCCTGGGAAAGT GATGCAGAAATTACAGGCTCGAGCGAAAGAGTTGATGTGCGGCTTGATGATGATGGAAACTTCCAGCTCA TGAATGATCCAGGAGCACCTTGGAAGATATGGATGCTCAGAATGGTCTGCCTCGCGATTAGTGCGTACAC CCCCTGGGCAATCTTGCCCTCAGTAATTGGATTTTGGATAACTCTCCAATACACAAAGAGAGGAGGCGTG TTGTGGGACACTCCCTCACCAAAGGAGTACAAAAAGGGGGACACGACCACCGGCGTCTACAGGATCATGA CTCGTGGGCTGCTCGGCAGTTATCAAGCAGGAGCGGGCGTGATGGTTGAAGGTGTTTTTCACACCCTTTG GCATACAACAAAAGGAGCCGCTTTGATGAGCGGAGAGGGCCGTCTGGACCCATACTGGGGCAGTGTCAAG GAGGATCGACTTTGTTACGGAGGACCCTGGAAATTGCAGCACAAGTGGAACGGGCAGGATGAGGTGCAGA TGATTGTGGTGGAACCTGGCAAGAACGTTAAGAACGTCCAGACGAAACCAGGGGTGTTCAAAACACCTGA AGGAGAAATCGGGGCCGTGACTTTGGACTTCCCCACTGGAACATCAGGCTCACCAATAGTGGACAAAAAC GGTGATGTGATTGGGCTTTATGGCAATGGAGTCATAATGCCCAACGGCTCATACATAAGCGCGATAGTGC AGGGTGAAAGGATGGATGAGCCAATCCCAGCCGGATTCGAACCTGAGATGCTGAGGAAAAAACAGATCAC TGTACTGGATCTCCATCCCGGCGCCGGTAAAACAAGGAGGATTCTGCCACAGATCATCAAAGAGGCCATA AACAGAAGACTGAGAACAGCCGTGCTAGCACCAACCAGGGTTGTGGCTGCTGAGATGGCTGAAGCACTGA GAGGACTGCCCATCCGGTACCAGACATCCGCAGTGCCCAGAGAACATAATGGAAATGAGATTGTTGATGT CATGTGTCATGCTACCCTCACCCACAGGCTGATGTCTCCTCACAGGGTGCCGAACTACAACCTGTTTGTG ATGGATGAGGCTCATTTCACCGACCCAGCTAGCATTGCAGCAAGAGGTTACATTTCCACAAAGGTCGAGC TAGGGGAGGCGGCGGCAATATTCATGACAGCCACCCCACCAGGCACTTCAGATCCATTCCCAGAGTCCAA TTCACCAATTTCCGACTTACAGACTGAGATCCCGGATCGAGCTTGGAACTCTGGATACGAATGGATCACA GAATACACCGGGAAGACGGTTTGGTTTGTGCCTAGTGTCAAGATGGGGAATGAGATTGCCCTTTGCCTAC AACGTGCTGGAAAGAAAGTAGTCCAATTGAACAGAAAGTCCTACGAGACGGAGTACCCAAAATGTAAGAA CGATGATTGGGACTTTGTTATCACAACAGATATATCTGAAATGGGGGCTAACTTCAAGGCGAGCAGGGTG ATTGACAGTCGGAAGAGTGTGAAACCAACCATCATAACAGAAGGAGAAGGGAGAGTGATCCTGGGAGAAC CATCTGCAGTGACAGCAGCTAGTGCCGCCCAGAGACGTGGACGTATCGGTAGAAATCCGTCGCAAGTTGG TGATGAGTACTGTTATGGGGGGCACACGAATGAAGACGACTCTAACTTCGCCCATTGGACTGAGGCACGA ATCATGCTGGACAACATCAACATGCCAAACGGACTGATCGCTCAATTTTACCAACCAGAGCGTGAGAAGG TATACACCATGGATGGGGAATACCGGCTCAGAGGAGAAGAGAGAAAAAACTTTCTGGAACTGTTGAGGAC TGCAGATCTGCCAGTTTGGCTGGCTTACAAGGTTGCAGCGGCTGGAGTGTCATACCACGACCGGAGGTGG TGCTTTGATGGCCCTAGGACAAACACAGTTTTAGAAGACAACAACGAAGTGGAAGTCATCACGAAGCTTG GTGAAAGGAAGATTCTGAGGCCGCGCTGGATTGACGCCAGGGTGTACTCGGATCATCAGGCACTAAAGGC GTTCAAGGACTTCGCCTCGGGAAAACGTTCTCAGATAGGGCTCATTGAGGTTCTGGGAAAGATGCCTGAG CACTTCATGGGGAAGACATGGGAAGCACTCGACACCATGTACGTTGTGGCCACTGCAGAGAAAGGAGGAA GAGCTCACAGAATGGCCCTGGAGGAACTGCCAGATGCTCTTCAGACAATTGCCTTGATTGCCTTATTGAG TGTGATGACCATGGGAGTATTCTTCCTCCTCATGCAGCGGAAGGGCATTGGAAAGATAGGTCTGGGAGGC GCTGTCTTGGGAGTCGCGACCTTTTTCTGTTGGATGGCTGAAGTTCCAGGAACGAAGATCGCCGGAATGT TGCTGCTCTCCCTTCTCTTGATGATTGTGCTAATTCCTGAGCCAGAGAAGCAACGTTCGCAGACAGACAA CCAGCTAGCCGTGTTCCTGATTTGTGTCATGACCCTTGTGAGCGCAGTGGCAGCCAACGAGATGGGCTGG CTAGATAAGACCAAGAGTGACATAAGCAGTTTGTTTGGGCAAAGAATTGAGGTCAAGGAGAATTTTAGCA TGGGAGAGTTTCTTCTGGACTTGAGGCCGGCAACAGCCTGGTCACTGTACGCTGTGACAACAGCGGTCCT CACTCCACTGCTAAAGCATTTGATTACGTCAGATTACATCAACACCTCATTGACCTCAATAAACGTTCAG GCAAGTGCACTATTCACACTCGCGCGAGGCTTCCCCTTCGTCGATGTTGGAGTGTCGGCTCTCCTGCTAG CAGCCGGATGCTGGGGACAAGTCACCCTCACCGTTACGGTAACAGCGGCAACACTCCTTTTTTGCCACTA TGCCTACATGGTTCCCGGTTGGCAAGCTGAGGCAATGCGCTCAGCCCAGCGGCGGACAGCGGCCGGAATC ATGAAGAACGCTGTAGTGGATGGCATCGTGGCCACGGACGTCCCCGAATTAGAGCGCACCACACCCATCA TGCAGAAGAAAGTTGGACAGATCATGCTGATCTTGGTGTCTCTAGCTGCAGTAGTAGTGAACCCGTCTGT GAAGACAGTACGAGAAGCCGGAATTTTGATCACGGCCGCAGCGGTGACGCTTTGGGAGAATGGAGCAAGC TCTGTTTGGAACGCAACAACTGCCATCGGACTCTGCCACATTATGCGTGGGGGTTGGTTGTCATGTCTAT CCATAACATGGACACTCATAAAGAACATGGAAAAACCAGGACTAAAAAGAGGTGGGGCAAAAGGACGCAC CTTGGGAGAGGTTTGGAAAGAAAGACTCAACCAGATGACAAAAGAAGAGTTCACTAGGTACCGCAAAGAG GCCATCATCGAAGTCGATCGCTCAGCGGCAAAACACGCCAGGAAAGAAGGCAATGTCACTGGAGGGCATC CAGTCTCTAGGGGCACAGCAAAACTGAGATGGCTGGTCGAACGGAGGTTTCTCGAACCGGTCGGAAAAGT GATTGACCTTGGATGTGGAAGGGGCGGCTGGTGTTACTATATGGCAACCCAAAAAAGAGTCCAAGAAGTC AGAGGGTACACAAAGGGCGGTCCCGGACATGAAGAGCCCCAACTAGTGCAAAGTTATGGATGGAACATTG TCACCATGAAGAGTGGAGTGGATGTGTTCTACAGACCTTCTGAGTGTTGTGACACCCTCCTTTGTGACAT CGGAGAGTCCTCGTCAAGTGCTGAGGTTGAAGAGCATAGGACGATTCGGGTCCTTGAAATGGTTGAGGAC TGGCTGCACCGAGGGCCAAGGGAATTTTGCGTGAAGGTGCTCTGCCCCTACATGCCGAAGGTCATAGAGA AGATGGAGCTGCTCCAACGCCGGTATGGGGGGGGACTGATCAGAAACCCACTCTCACGGAATTCCACGCA CGAGATGTATTGGGTGAGTCGAGCTTCAGGCAATGTGGTACATTCAGTGAATATGACCAGCCAGGTGCTC CTAGGAAGAATGGAAAAAAGGACCTGGAAGGGACCCCAATACGAGGAAGATGTAAACTTGGGAAGTGGAA CCAGGGCGGTGGGAAAACCCTTGCTCAACTCAGACACCAGTAAAATCAAGAACAGGATTGAACGACTCAG GCGTGAGTACAGTTCGACGTGGCACCACGATGAGAACCACCCATATAGAACCTGGAACTATCACGGTAGT TATGATGTGAAGCCCACAGGCTCCGCCAGTTCGCTGGTCAATGGAGTGGTCAGGCTCCTCTCAAAACCAT GGGACACCATCACGAATGTTACCACCATGGCCATGACTGACACTACTCCCTTCGGGCAGCAGCGAGTGTT CAAAGAGAAGGTGGACACGAAAGCTCCAGAACCGCCAGAAGGAGTGAAGTACGTGCTCAACGAGACCACT AACTGGTTGTGGGCGTTTTTGGCCAGAGAAAAACGTCCCAGAATGTGCTCTCGAGAGGAATTCATAAGAA AGGTCAACAGCAATGCAGCTTTGGGTGCCATGTTTGAAGAGCAGAATCAATGGAGGAGCGCCAGAGAAGC AGTTGAAGATCCAAAATTTTGGGAGATGGTGGATGAGGAGCGCGAGGCACATCTGCGGGGGGAATGTCAC ACTTGCATTTACAACATGATGGGAAAGAGAGAGAAAAAACCCGGAGAGTTCGGAAAGGCCAAGGGAAGCA GAGCCATTTGGTTCATGTGGCTCGGAGCTCGCTTTCTGGAGTTCGAGGCTCTGGGTTTTCTCAATGAAGA CCACTGGCTTGGAAGAAAGAACTCAGGAGGAGGTGTCGAGGGCTTGGGCCTCCAAAAACTGGGTTACATC CTGCGTGAAGTTGGCACCCGGCCTGGGGGCAAGATCTATGCTGATGACACAGCTGGCTGGGACACCCGCA TCACGAGAGCTGACTTGGAAAATGAAGCTAAGGTGCTTGAGTTGCTTGATGGGGAACATCGGCGTCTTGC TAGGGCCATCATTGAGCTCACCTATCGTCACAAAGTTGTGAAAGTGATGCGCCCGGCTGCTGATGGAAGA ACCGTCATGGATGTTATCTCCAGAGAAGATCAGAGGGGGAGTGGACAAGTTGTCACCTACGCCCTAAACA CTTTCACCAACCTGGCCGTCCAGCTGGTGAGGATGATGGAAGGGGAAGGAGTGATTGGCCCAGATGATGT GGAGAAACTCACAAAAGGGAAAGGACCCAAAGTCAGGACCTGGCTGTTTGAGAATGGGGAAGAAAGACTC AGCCGCATGGCTGTCAGTGGAGATGACTGTGTGGTAAAGCCCCTGGACGATCGCTTTGCCACCTCGCTCC ACTTCCTCAATGCTATGTCAAAGGTTCGCAAAGACATCCAAGAGTGGAAACCGTCAACTGGATGGTATGA TTGGCAGCAGGTTCCATTTTGCTCAAACCATTTCACTGAACTGATCATGAAAGATGGAAGAACACTGGTG GTTCCATGCCGAGGACAGGATGAATTGGTAGGCAGAGCTCGCATATCTCCAGGGGCCGGATGGAACGTCC GTGACACTGCTTGTCTGGCTAAGTCTTATGCCCAGATGTGGCTGCTTCTGTACTTCCACAGAAGAGACCT GCGGCTCATGGCCAACGCCATTTGCTCCGCTGTCCCTGTGAATTGGGTCCCTACCGGAAGAACCACGTGG TCCATCCATGCAGGAGGAGAGTGGATGACAACAGAGGACATGTTGGAGGTCTGGAACCGTGTTTGGATAG AGGAGAATGAATGGATGGAAGACAAAACCCCAGTGGAGAAATGGAGTGACGTCCCATATTCAGGAAAACG AGAGGACATCTGGTGTGGCAGCCTGATCGGCACAAGAGCCCGAGCCACGTGGGCAGAAAACATCCAGGTG GCTATCAACCAAGTTAGAGCAATCATCGGAGATGAGAAGTATGTGGATTACATGAGTTCACTAAAGAGAT ATGAAGACACAACTTTGGTTGAGGACACAGTACTGTAGATATTTAATCAATTGTAAATAGACAATATAAG TATGTATGAAAGTGTAGTTTATAGTAGTATTTAGTGGTGTTAGTGTAAATAGGTAAGAAAATTTTGAGGA GAAAGTCAGGCCGGGAAGTTCCTGCCACCGGAAGTTGAGTAGACGGTGCTGCCTGCGACTCAACCCCAGG AGGACTGGGTGAGCAAAGCCGCGAAGTGATCCATGTAAGCCCTCAGAACCG ================================================ FILE: tests/input/TestPerSample/ref.fasta.fai ================================================ chr1 10621 6 70 71 chr2 10621 10785 70 71 ================================================ FILE: tests/input/TestPerSample/ref.indels.fasta ================================================ >Seed-stock-137_S2_L001_001 CACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTA ATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCA TACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGGG GGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCCTTATCACAT CACAAGTTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAACATTATTGT TAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACTTTGATTTTGA ACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAAAACATTAGA AATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCA GAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGAC AGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGT AAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTT TCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGA TTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTT TGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAG TGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAA TGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAA GGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACA ATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAAC AAATTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGCCGGACATGA TGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTCTATTGAT TGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCC TCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGCACTCAGCTC CCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAA TAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAGC CCACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGC AGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACTTGACCATCT TGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAAT CAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGAC AGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGA CATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCC GACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGATCCCGATGATGGAGGCTA CGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTTGGTCCTATT CGATCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGACCAAGGGTGG ACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCACGCC AACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCCACTCACGGA CAATGACAGAAGAAACGGACCCTCCGGCTCAACCAGCCCTCGCATGCTGACCCCAATCAA CGAAGAGGCAGACCCACTAGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTAGA GTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCCC ACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACA AGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCAGCCAGAACA TTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCCGTTTT GTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAAAGAGTA CACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCAT GAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCCAGTAATGAA TCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAATG GGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAAT TTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTTTTGAATTTA AAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAA GCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCGATTTATCTA AATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATC GTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAA TTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACA AGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAA TGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTG TAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGC AACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAATTTGCA ATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAAC AAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGC CAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTG CAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTG AGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTG CGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCAT TCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTT CGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCC ACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTC ATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAA TTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTC GAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGA TTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAA TTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAACTGCTG AACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAG TCAATTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAAGATAAATGT AATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAA AATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCA TCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTC CTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTG GCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCATCGAATC CACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGT CATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGA AGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACT CAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCA ATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCC TGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCC AGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTGCTGCAA CATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTC ATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCG ATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCG TTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACA AGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGC CAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGG ATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAATTGCAAT AATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAAT AATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCA TTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTT AAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCA ATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTCTTTGTCCTTATCCTCAAA TTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAA AAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTCTAATTA AGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGAT TATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCT TCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTAC CTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAA CATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACA AACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATC TCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGCGACTAAAAGATGGGGCTTCAGGT CCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACA ATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTC GGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAG ACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTA TCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTA AGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGT CGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGA CAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACAC CACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCA CGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCT TCAGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGC TGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCC AGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAAT GGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCAC AATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAA TACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAG AGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTT AAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGAC AAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGG AGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGC AGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAA ATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGC CTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACATAGAGGGGCTAATGCACAA CCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCA ACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAAT TGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTAT CGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTT TGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACA ATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGCTTTATTCTG TATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAACTCAACCTCA AATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAAT GATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTC ACAGTTAATCATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAATGATAAACT TGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTA CAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTGTAATAA TCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCATTGGTAAAA AAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCTTCATATGAG AGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGA GCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCA CAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCA GCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGC AAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGT AAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTA GCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACA CTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAAA TTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTG AGTCTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAGGCAGAACCC GTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTA TGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCT CTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCT CAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGT ACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGT ATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAA TCACTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAAGAGGTATGA TATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGCTCGCAATATAACCTGC CAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACTCTACAGGAG GTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATGATCTCTTAA AATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCT ATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGT TTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTC TGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTT AGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCTGTATACCAGTT GCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACACATCTCATAC ATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAGTGCATAAAT CTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACA TTACTTTGAGCGCCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAAG GTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGC AAGACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATATCGCCCAAA AAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACT ATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATG GCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAAC CTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTGTGGGCACTG AGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACCC TTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTC AACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGA TCCAATATTCTCAAGTTTATTAACGAATTGGATGCTCTACATGTCGTGAACTACAATGGA TTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAAC ATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCT GGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCC TCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAGA TGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACTTGACATCTC TGCCTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTG TTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAAC CAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTA TATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTGTAACTAAAC CCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCATACTCGTAA CTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTAT TGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCT ACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGT GACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATCCGCAACTACGC AACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTTACCAAGTTC TTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAG GCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAA ATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGT GCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGC AATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGT AGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATTTAATAGACATC TTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCACTGAACACA CAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAAGAAGCGGTT CAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATGTGCAAAGAT TTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCCA GTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTAC TTACTCTCCATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAACCATTGTGC TTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAA ATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCACTAAAGCCT TCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCA CAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTGCTACATAGT GAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATC GTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTATTTTGATAGT CAAGGATCTTGGTACAGTGTTACCTCAGATAGAAATCTAACACCAGGTCTTAATTCTTAT ATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTATGGGAATTTTAC CACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATA AAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTT CTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAATTTTTAGAG CAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTA CCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACT TTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCT GATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAACAAAAA GAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGTGAGCATGCC ACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGGTAT GAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTT AATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCA CCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGG GGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCT CAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGAC AATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGACGAGCAGGAA CAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCC TGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGA AAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATG GCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGTACT GCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATAACCGCAGCT TTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTTAATAAAGGT TTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCATTGGCA CTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTAC CGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATG ATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCC ATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCA TTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAAT ACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGTGGCTCTTATCA TCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCGAGCGGGAAG CGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATC AACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTGCAAAGGTGG AGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAA ATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTA GAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTT TGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACCTGGTGGGAAA CCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAATGCATCCCGA ATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATA GGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTG GCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCA TTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACAT TACTCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCC AATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTT TCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTAT GCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAGTATAAT CGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAGTATTTAACA TACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGAC AATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTTGATAACCCATTTTTCCAA GGCAAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTATCTGGATGG GAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAATAATTCGTCTACAGAC CCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATA GGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGG ACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTA CCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGA TTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGA CTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTA AAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCATTAGAG GGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTGGTGCAT GATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACATCCTCACGAC AATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTAC TGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGGA TCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACCACCAGAGAT CCACATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATAAAAAGAACG ACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCT GCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAATGTGAAATCT CAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACATCGTCTAGTC CTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAA ACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTT TATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGG GAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCCTTA CTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCC AGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATG TCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACA GACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAG GTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCT GTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTAGTCCTTAAA GTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTTTTT GCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTATCTT TGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGT AAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGT CATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTTCCA TCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACTA GTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAATGAT TATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGA CGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACAAGCATTAAAA CATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAAT AGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATAT TTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGT TTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACTT GTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCA TCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTATACA CTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAGCATGTGTGAC ATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATAATTAAG CTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATATCTT GCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTTTAA GATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCCT TAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGC TACTATTCCATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAATCAGAAATA CCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGGCATT GACCACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATCCCTGGAAAAAT GGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGT ================================================ FILE: tests/input/TestPerSample/ref.indels.fasta.fai ================================================ Seed-stock-137_S2_L001_001 18950 28 60 61 ================================================ FILE: tests/input/TestPerSample/vphaser_one_sample_2libs_expected.txt ================================================ chr1 55 T C 0.8156 snp 16.1017 C:65:34:45:21:20:13:0.176 T:13:6:10:6:3:0:0.176 chr1 483 T C 0.5142 snp 23.6111 C:34:21:24:11:10:10:0.7725 T:8:9:5:7:3:2:0.7725 chr1 573 T C 0.5073 snp 13.7405 C:66:47:50:29:16:18:0.1098 T:12:6:6:3:6:3:0.1098 chr1 660 C T 0.2772 snp 44.2724 T:109:71:79:43:30:28:0.4651 C:78:65:55:48:23:17:0.4651 chr1 999 T C 0.9182 snp 12.8478 C:527:538:349:356:178:182:0.2376 T:80:77:60:52:20:25:0.2376 chr1 1117 A G 0.838 snp 15.0547 G:449:482:304:327:145:155:0.4719 A:84:81:57:50:27:31:0.4719 chr1 1293 T C 0.09971 snp 17.2697 C:258:245:183:172:75:73:0.5592 T:63:42:42:29:21:13:0.5592 chr2 8766 T C 0.6568 snp 8.33333 C:132:99:96:67:36:33:0.4608 T:13:8:8:5:5:3:0.4608 chr2 8808 T C 0.1318 snp 16.8421 C:130:107:93:74:37:33:0.6079 T:32:16:22:10:10:6:0.6079 chr2 9123 T C 0.6938 snp 14.5161 C:150:168:100:113:50:55:0.5297 T:24:30:18:21:6:9:0.5297 chr2 9151 T C 0.4294 snp 15 C:142:147:98:100:44:49:1 T:22:29:15:20:7:9:1 chr2 9272 G A 0.2018 snp 17.5214 A:82:111:53:75:29:36:0.8579 G:28:13:22:5:7:8:0.8579 chr2 9687 T C 0.7036 snp 11.8182 C:67:127:43:85:24:42:1 T:8:18:6:11:2:7:1 chr2 9912 T C 0.1715 snp 24.8744 C:104:195:74:123:30:72:1 T:42:57:27:39:15:18:1 chr2 9960 C T 0.3394 snp 11.9481 T:120:219:80:144:40:75:1 C:13:33:8:22:5:11:1 ================================================ FILE: tests/input/TestPerSample/vphaser_one_sample_3libs_expected.txt ================================================ chr1 55 T C 0.8156 snp 16.1017 C:65:34:45:21:11:8:9:5:0.425 T:13:6:10:6:2:0:1:0:0.425 chr1 483 T C 0.5142 snp 23.6111 C:34:21:24:11:5:5:5:5:0.9192 T:8:9:5:7:1:1:2:1:0.9192 chr1 573 T C 0.5073 snp 13.7405 C:66:47:50:29:12:10:4:8:0.1632 T:12:6:6:3:3:2:3:1:0.1632 chr1 660 C T 0.2772 snp 44.2724 T:109:71:79:43:18:14:12:14:0.6371 C:78:65:55:48:13:11:10:6:0.6371 chr1 999 T C 0.9182 snp 12.8478 C:527:538:349:356:81:97:97:85:0.3398 T:80:77:60:52:10:15:10:10:0.3398 chr1 1117 A G 0.838 snp 15.0547 G:449:482:304:327:64:81:81:74:0.7364 A:84:81:57:50:13:14:14:17:0.7364 chr1 1293 T C 0.09971 snp 17.2697 C:258:245:183:172:32:37:43:36:0.3501 T:63:42:42:29:10:10:11:3:0.3501 chr2 8766 T C 0.6568 snp 8.33333 C:132:99:96:67:15:15:21:18:0.5642 T:13:8:8:5:3:1:2:2:0.5642 chr2 8808 T C 0.1318 snp 16.8421 C:130:107:93:74:15:17:22:16:0.7091 T:32:16:22:10:6:0:4:6:0.7091 chr2 9123 T C 0.6938 snp 14.5161 C:150:168:100:113:25:21:25:34:0.7732 T:24:30:18:21:3:4:3:5:0.7732 chr2 9151 T C 0.4294 snp 15 C:142:147:98:100:20:18:24:31:0.801 T:22:29:15:20:4:4:3:5:0.801 chr2 9272 G A 0.2018 snp 17.5214 A:82:111:53:75:14:12:15:24:0.8461 G:28:13:22:5:3:4:4:4:0.8461 chr2 9687 T C 0.7036 snp 11.8182 C:67:127:43:85:14:19:10:23:0.9523 T:8:18:6:11:1:4:1:3:0.9523 chr2 9912 T C 0.1715 snp 24.8744 C:104:195:74:123:18:34:12:38:0.9697 T:42:57:27:39:7:9:8:9:0.9697 chr2 9960 C T 0.3394 snp 11.9481 T:120:219:80:144:22:32:18:43:0.5227 C:13:33:8:22:2:8:3:3:0.5227 ================================================ FILE: tests/input/TestPerSample/vphaser_one_sample_expected.txt ================================================ chr1 55 T C 0.8156 snp 16.1017 C:65:34:65:34:1 T:13:6:13:6:1 chr1 483 T C 0.5142 snp 23.6111 C:34:21:34:21:1 T:8:9:8:9:1 chr1 573 T C 0.5073 snp 13.7405 C:66:47:66:47:1 T:12:6:12:6:1 chr1 660 C T 0.2772 snp 44.2724 T:109:71:109:71:1 C:78:65:78:65:1 chr1 999 T C 0.9182 snp 12.8478 C:527:538:527:538:1 T:80:77:80:77:1 chr1 1117 A G 0.838 snp 15.0547 G:449:482:449:482:1 A:84:81:84:81:1 chr1 1293 T C 0.09971 snp 17.2697 C:258:245:258:245:1 T:63:42:63:42:1 chr2 8766 T C 0.6568 snp 8.33333 C:132:99:132:100:1 T:13:8:13:8:1 chr2 8808 T C 0.1318 snp 16.8421 C:130:107:130:107:1 T:32:16:32:16:1 chr2 9123 T C 0.6938 snp 14.5161 C:150:168:150:168:1 T:24:30:24:30:1 chr2 9151 T C 0.4294 snp 15 C:142:147:142:149:1 T:22:29:22:29:1 chr2 9272 G A 0.2018 snp 17.5214 A:82:111:82:111:1 G:28:13:29:13:1 chr2 9687 T C 0.7036 snp 11.8182 C:67:127:67:127:1 T:8:18:8:18:1 chr2 9912 T C 0.1715 snp 24.8744 C:104:195:104:195:1 T:42:57:42:57:1 chr2 9960 C T 0.3394 snp 11.9481 T:120:219:120:219:1 C:13:33:13:33:1 ================================================ FILE: tests/input/TestPerSample/vphaser_one_sample_indels_expected.txt ================================================ Seed-stock-137_S2_L001_001 6911 IA d 0.1453 lp 5.04492 d:1059:315:1132:328:1 IA:56:10:56:10:1 IAA:6:0:6:0:1 IAAA:1:0:1:0:1 Seed-stock-137_S2_L001_001 13181 D1 i 0.3567 lp 5.71688 i:879:160:939:166:1 D1:56:7:56:7:1 ================================================ FILE: tests/input/TestPurgeUnmated/expected1.fastq ================================================ @from_chr9_1/1 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT +from_chr9_1/1 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2/1 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT +from_chr1_2/1 DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD @from_ebov_1/1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC +from_ebov_1/1 BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB ================================================ FILE: tests/input/TestPurgeUnmated/expected2.fastq ================================================ @from_chr9_1/2 GGGGTGGATCGAGGTGGGTGGTGGCATCTGGGATCTCTGCTTGGCTTCCC +from_chr9_1/2 CDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCD @from_chr1_2/2 AATTCTAAGAAATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTT +from_chr1_2/2 DEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDE @from_ebov_1/2 TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA +from_ebov_1/2 BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC ================================================ FILE: tests/input/TestPurgeUnmated/in1.fastq ================================================ @from_chr1_1/1 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @from_ebov_1/1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_chr9_1/1 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT + CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2/1 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT + DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD ================================================ FILE: tests/input/TestPurgeUnmated/in2.fastq ================================================ @from_chr9_1/2 GGGGTGGATCGAGGTGGGTGGTGGCATCTGGGATCTCTGCTTGGCTTCCC + CDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCD @from_chr1_2/2 AATTCTAAGAAATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTT + DEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDE @from_ebov_2/2 GCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC + EFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEF @from_ebov_1/2 TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA + BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC ================================================ FILE: tests/input/TestPurgeUnmated/in_sra1.fastq ================================================ @from_chr1_1.1 XXX XXX TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @from_ebov_1.1 XXX XXX GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_chr9_1.1 XXX XXX ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT + CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2.1 XXX XXX AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT + DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD ================================================ FILE: tests/input/TestPurgeUnmated/in_sra2.fastq ================================================ @from_chr9_1.2 XXX XXX GGGGTGGATCGAGGTGGGTGGTGGCATCTGGGATCTCTGCTTGGCTTCCC + CDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCDCD @from_chr1_2.2 XXX XXX AATTCTAAGAAATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTT + DEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDE @from_ebov_2.2 XXX XXX GCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGC + EFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEFEF @from_ebov_1.2 XXX XXX TTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGA + BCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBCBC ================================================ FILE: tests/input/TestRefineAssembly/expected.ebov.refine1.fasta ================================================ >test_sub-EBOV.genome-1 TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTG CCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTG AAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTT CCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCT TTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGA TACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAG TGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGAC AATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTG GGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTT CTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAA ACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGC TTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCC ACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCGTAATACACCCGTGTATAAAC TTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCC CGCCACGACCGCAGCCGGACCCTTAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACC ACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCA GCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAG AGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATC GGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTT TAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCG AACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCG GACTGCTGTATCGAACCACATGATTGGACCAAGAACAT ================================================ FILE: tests/input/TestRefineAssembly/expected.ebov.refine1.freebayes.fasta ================================================ >test_sub-EBOV.genome-1 TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAA TGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCC ACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAAT CAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCC CCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTT CCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGG AACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTT CTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTA TTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTT GTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCT GCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACT AATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAAC TAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAAC GGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAAC ACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTG CACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACG AGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCGTAATACACCCGTG TATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAAC GACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAG AACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAA AACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGT GCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATC ACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCC AATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCA TATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGT TTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTG AGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTG CTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACAT GATTGGACCAAGAACAT ================================================ FILE: tests/input/TestRefineAssembly/expected.ebov.refine1.new.fasta ================================================ >test_sub-EBOV.genome-1 TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAA TGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCC ACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAAT CAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCC CCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTT CCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGG AACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTT CTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTA TTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTT GTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCT GCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACT AATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAAC TAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAAC GGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAAC ACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTG CACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACG AGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCGTAATACACCCGTG TATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAAC GACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAG AACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAA AACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGT GCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATC ACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCC AATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCA TATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGT TTAATCTGTGGGTTGAGGCAGCTGGCCAACGAACAAGCTCTCCAACTGTTCCTGAGAGCC ACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTGCTGCAG CGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGG ACCAAGAACAT ================================================ FILE: tests/input/TestRefineAssembly/expected.ebov.refine2.fasta ================================================ >test_sub-EBOV.genome-1 ATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTC AGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAA AACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGT ATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCC ACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCT TCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATA TCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCA AGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAAC TAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGA AAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAA CTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCA AGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCTCCC ACAACCAAAACAGGTCCGGACAACAGCACCCGTAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTG GACAACATCACCGTAGAGCNGACAACGACNNNNNNGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAA AGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAAAACTACAGCGAG ACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCA ATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAA ATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGG CCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCA ACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGC AATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAAC ================================================ FILE: tests/input/TestRefineAssembly/expected.ebov.refine2.freebayes.fasta ================================================ >test_sub-EBOV.genome-1 TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAA TGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCC ACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAAT CAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCC CCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTT CCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGG AACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTT CTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTA TTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTT GTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCT GCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACT AATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAAC TAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAAC GGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAAC ACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTG CACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACG AGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCGTAATACACCCGTG TATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCNGACAAC GNCNNNNNNGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAG AACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAA AACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGT GCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATC ACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCC AATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCA TATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGT TTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTG AGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTG CTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACAT GATTGGACCAAGAACAT ================================================ FILE: tests/input/TestRefineAssembly/impute.ebov.fasta ================================================ >test_sub-EBOV.genome-1 TCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAA TGGAGTGGCAACTGACGTGCCATCTGTGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCC ACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAAT CAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCC CCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTT CCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGG AACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTT CTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTA TTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTT GTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCT GCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACT AATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAAC TAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAAC GGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAAC ACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTG CACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACG AGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAATACACCCGTG TATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAAC GACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAG AACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAA AACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGT GCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATC ACAGGCGGGAGAAGGACTTAGTAGCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGC AACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGG ATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAA GATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAACAATCTCTCCAGCTGTTCCTG AGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTG CTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACAT GATTGGACCAAGAACAT ================================================ FILE: tests/input/TestRunInfo/RunInfo-hiseq.xml ================================================ HVFF2ADXX SL-HDF 150821 1 2 ================================================ FILE: tests/input/TestRunInfo/RunInfo-miseq.xml ================================================ 000000000-AEF96 M04004 150821 ================================================ FILE: tests/input/TestRunInfo/RunInfo-nextseq-1000-2000-p1.xml ================================================ AAG27M7M5 VH01619 2024-09-27T14:48:52Z 1_1101 1_1102 1_1103 1_1104 1_1201 1_1202 1_1203 1_1204 1_1301 1_1302 1_1303 1_1304 1_1401 1_1402 1_1403 1_1404 1_2101 1_2102 1_2103 1_2104 1_2201 1_2202 1_2203 1_2204 1_2301 1_2302 1_2303 1_2304 1_2401 1_2402 1_2403 1_2404 green blue ================================================ FILE: tests/input/TestRunInfo/RunInfo-nextseq550.xml ================================================ HMTLKAFX2 NB552060 210221 1_11101 1_21101 1_11102 1_21102 1_11103 1_21103 1_11104 1_21104 1_11105 1_21105 1_11106 1_21106 1_11107 1_21107 1_11108 1_21108 1_11109 1_21109 1_11110 1_21110 1_11111 1_21111 1_11112 1_21112 2_11101 2_21101 2_11102 2_21102 2_11103 2_21103 2_11104 2_21104 2_11105 2_21105 2_11106 2_21106 2_11107 2_21107 2_11108 2_21108 2_11109 2_21109 2_11110 2_21110 2_11111 2_21111 2_11112 2_21112 1_11201 1_21201 1_11202 1_21202 1_11203 1_21203 1_11204 1_21204 1_11205 1_21205 1_11206 1_21206 1_11207 1_21207 1_11208 1_21208 1_11209 1_21209 1_11210 1_21210 1_11211 1_21211 1_11212 1_21212 2_11201 2_21201 2_11202 2_21202 2_11203 2_21203 2_11204 2_21204 2_11205 2_21205 2_11206 2_21206 2_11207 2_21207 2_11208 2_21208 2_11209 2_21209 2_11210 2_21210 2_11211 2_21211 2_11212 2_21212 1_11301 1_21301 1_11302 1_21302 1_11303 1_21303 1_11304 1_21304 1_11305 1_21305 1_11306 1_21306 1_11307 1_21307 1_11308 1_21308 1_11309 1_21309 1_11310 1_21310 1_11311 1_21311 1_11312 1_21312 2_11301 2_21301 2_11302 2_21302 2_11303 2_21303 2_11304 2_21304 2_11305 2_21305 2_11306 2_21306 2_11307 2_21307 2_11308 2_21308 2_11309 2_21309 2_11310 2_21310 2_11311 2_21311 2_11312 2_21312 3_11401 3_21401 3_11402 3_21402 3_11403 3_21403 3_11404 3_21404 3_11405 3_21405 3_11406 3_21406 3_11407 3_21407 3_11408 3_21408 3_11409 3_21409 3_11410 3_21410 3_11411 3_21411 3_11412 3_21412 4_11401 4_21401 4_11402 4_21402 4_11403 4_21403 4_11404 4_21404 4_11405 4_21405 4_11406 4_21406 4_11407 4_21407 4_11408 4_21408 4_11409 4_21409 4_11410 4_21410 4_11411 4_21411 4_11412 4_21412 3_11501 3_21501 3_11502 3_21502 3_11503 3_21503 3_11504 3_21504 3_11505 3_21505 3_11506 3_21506 3_11507 3_21507 3_11508 3_21508 3_11509 3_21509 3_11510 3_21510 3_11511 3_21511 3_11512 3_21512 4_11501 4_21501 4_11502 4_21502 4_11503 4_21503 4_11504 4_21504 4_11505 4_21505 4_11506 4_21506 4_11507 4_21507 4_11508 4_21508 4_11509 4_21509 4_11510 4_21510 4_11511 4_21511 4_11512 4_21512 3_11601 3_21601 3_11602 3_21602 3_11603 3_21603 3_11604 3_21604 3_11605 3_21605 3_11606 3_21606 3_11607 3_21607 3_11608 3_21608 3_11609 3_21609 3_11610 3_21610 3_11611 3_21611 3_11612 3_21612 4_11601 4_21601 4_11602 4_21602 4_11603 4_21603 4_11604 4_21604 4_11605 4_21605 4_11606 4_21606 4_11607 4_21607 4_11608 4_21608 4_11609 4_21609 4_11610 4_21610 4_11611 4_21611 4_11612 4_21612 Red Green ================================================ FILE: tests/input/TestRunInfo/RunInfo-novaseq-x-plus.xml ================================================ 22J5GLLT4 LH00118 2024-12-17T23:02:37Z 1_1101 1_1102 1_1103 1_1104 1_1105 1_1106 1_1107 1_1108 1_1109 1_1110 1_1111 1_1112 1_1113 1_1114 1_1115 1_1116 1_1117 1_1118 1_1119 1_1120 1_1121 1_1122 1_1123 1_1124 1_1125 1_1126 1_1127 1_1128 1_1129 1_1130 1_1131 1_1132 1_1133 1_1134 1_1135 1_1136 1_1137 1_1138 1_1139 1_1140 1_1141 1_1142 1_1143 1_1144 1_1145 1_1146 1_1147 1_1148 1_1149 1_1150 1_1151 1_1152 1_1153 1_1154 1_1155 1_1156 1_1157 1_1158 1_1159 1_1160 1_1161 1_1162 1_1163 1_1164 1_1165 1_1166 1_1167 1_1168 1_1169 1_1170 1_1171 1_1172 1_1173 1_1174 1_1175 1_1176 1_1177 1_1178 1_1179 1_1180 1_1181 1_1182 1_1183 1_1184 1_1185 1_1186 1_1187 1_1188 1_1189 1_1190 1_1191 1_1192 1_1193 1_1194 1_1195 1_1196 1_1197 1_1198 1_1201 1_1202 1_1203 1_1204 1_1205 1_1206 1_1207 1_1208 1_1209 1_1210 1_1211 1_1212 1_1213 1_1214 1_1215 1_1216 1_1217 1_1218 1_1219 1_1220 1_1221 1_1222 1_1223 1_1224 1_1225 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2_2405 2_2406 2_2407 2_2408 2_2409 2_2410 2_2411 2_2412 2_2413 2_2414 2_2415 2_2416 2_2417 2_2418 2_2419 2_2420 2_2421 2_2422 2_2423 2_2424 2_2425 2_2426 2_2427 2_2428 2_2429 2_2430 2_2431 2_2432 2_2433 2_2434 2_2435 2_2436 2_2437 2_2438 2_2439 2_2440 2_2441 2_2442 2_2443 2_2444 2_2445 2_2446 2_2447 2_2448 2_2449 2_2450 2_2451 2_2452 2_2453 2_2454 2_2455 2_2456 2_2457 2_2458 2_2459 2_2460 2_2461 2_2462 2_2463 2_2464 2_2465 2_2466 2_2467 2_2468 2_2469 2_2470 2_2471 2_2472 2_2473 2_2474 2_2475 2_2476 2_2477 2_2478 2_2479 2_2480 2_2481 2_2482 2_2483 2_2484 2_2485 2_2486 2_2487 2_2488 2_1101 2_1102 2_1103 2_1104 2_1105 2_1106 2_1107 2_1108 2_1109 2_1110 2_1111 2_1112 2_1113 2_1114 2_1115 2_1116 2_1117 2_1118 2_1119 2_1120 2_1121 2_1122 2_1123 2_1124 2_1125 2_1126 2_1127 2_1128 2_1129 2_1130 2_1131 2_1132 2_1133 2_1134 2_1135 2_1136 2_1137 2_1138 2_1139 2_1140 2_1141 2_1142 2_1143 2_1144 2_1145 2_1146 2_1147 2_1148 2_1149 2_1150 2_1151 2_1152 2_1153 2_1154 2_1155 2_1156 2_1157 2_1158 2_1159 2_1160 2_1161 2_1162 2_1163 2_1164 2_1165 2_1166 2_1167 2_1168 2_1169 2_1170 2_1171 2_1172 2_1173 2_1174 2_1175 2_1176 2_1177 2_1178 2_1179 2_1180 2_1181 2_1182 2_1183 2_1184 2_1185 2_1186 2_1187 2_1188 2_1201 2_1202 2_1203 2_1204 2_1205 2_1206 2_1207 2_1208 2_1209 2_1210 2_1211 2_1212 2_1213 2_1214 2_1215 2_1216 2_1217 2_1218 2_1219 2_1220 2_1221 2_1222 2_1223 2_1224 2_1225 2_1226 2_1227 2_1228 2_1229 2_1230 2_1231 2_1232 2_1233 2_1234 2_1235 2_1236 2_1237 2_1238 2_1239 2_1240 2_1241 2_1242 2_1243 2_1244 2_1245 2_1246 2_1247 2_1248 2_1249 2_1250 2_1251 2_1252 2_1253 2_1254 2_1255 2_1256 2_1257 2_1258 2_1259 2_1260 2_1261 2_1262 2_1263 2_1264 2_1265 2_1266 2_1267 2_1268 2_1269 2_1270 2_1271 2_1272 2_1273 2_1274 2_1275 2_1276 2_1277 2_1278 2_1279 2_1280 2_1281 2_1282 2_1283 2_1284 2_1285 2_1286 2_1287 2_1288 2_1301 2_1302 2_1303 2_1304 2_1305 2_1306 2_1307 2_1308 2_1309 2_1310 2_1311 2_1312 2_1313 2_1314 2_1315 2_1316 2_1317 2_1318 2_1319 2_1320 2_1321 2_1322 2_1323 2_1324 2_1325 2_1326 2_1327 2_1328 2_1329 2_1330 2_1331 2_1332 2_1333 2_1334 2_1335 2_1336 2_1337 2_1338 2_1339 2_1340 2_1341 2_1342 2_1343 2_1344 2_1345 2_1346 2_1347 2_1348 2_1349 2_1350 2_1351 2_1352 2_1353 2_1354 2_1355 2_1356 2_1357 2_1358 2_1359 2_1360 2_1361 2_1362 2_1363 2_1364 2_1365 2_1366 2_1367 2_1368 2_1369 2_1370 2_1371 2_1372 2_1373 2_1374 2_1375 2_1376 2_1377 2_1378 2_1379 2_1380 2_1381 2_1382 2_1383 2_1384 2_1385 2_1386 2_1387 2_1388 2_1401 2_1402 2_1403 2_1404 2_1405 2_1406 2_1407 2_1408 2_1409 2_1410 2_1411 2_1412 2_1413 2_1414 2_1415 2_1416 2_1417 2_1418 2_1419 2_1420 2_1421 2_1422 2_1423 2_1424 2_1425 2_1426 2_1427 2_1428 2_1429 2_1430 2_1431 2_1432 2_1433 2_1434 2_1435 2_1436 2_1437 2_1438 2_1439 2_1440 2_1441 2_1442 2_1443 2_1444 2_1445 2_1446 2_1447 2_1448 2_1449 2_1450 2_1451 2_1452 2_1453 2_1454 2_1455 2_1456 2_1457 2_1458 2_1459 2_1460 2_1461 2_1462 2_1463 2_1464 2_1465 2_1466 2_1467 2_1468 2_1469 2_1470 2_1471 2_1472 2_1473 2_1474 2_1475 2_1476 2_1477 2_1478 2_1479 2_1480 2_1481 2_1482 2_1483 2_1484 2_1485 2_1486 2_1487 2_1488 RED GREEN ================================================ FILE: tests/input/TestRunInfo/RunInfo-novel-fcid-and-tilecount.xml ================================================ HMTLKZ0Z0Z M312 150821 ================================================ FILE: tests/input/TestRunInfo/RunInfo-novel-fcid.xml ================================================ HMTLKZ0Z0Z M04004 150821 ================================================ FILE: tests/input/TestRunInfo/RunInfo-novel-tile-count.xml ================================================ 000000000-AEF96 M04004 150821 ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-AEHWY-subset.csv ================================================ [Header] IEMFileVersion,4 Date,8/14/2015 Workflow,GenerateFASTQ Application,FASTQ Only Assay,Nextera XT Description, Chemistry,Amplicon [Reads] 101 101 [Settings] ReverseComplement,0 Adapter,CTGTCTCTTATACACATCT [Data] Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,I5_Index_ID,index2,Sample_Project,Description 16,E023,,,N711,AAGAGGCA,S517,GCGTAAGA,, 17,E024,,,N712,GTAGAGGA,S517,GCGTAAGA,, MAK_AD,MAK_AD,,,N701,TAAGGCGA,S502,CTCTCTAT,, ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-custom-1.txt ================================================ sample barcode_1 barcode_2 library_id_per_sample NIHCC_05 CGTACTAG TAGATCGC AEL2 NIHCC_06 AGGCAGAA TAGATCGC AEL2 NIHCC_07 TCCTGAGC TAGATCGC AEL2 NIHCC_08 TAGGCATG TAGATCGC AEL2 NIHCC_09 GCTACGCT TAGATCGC AEL2 NIHCC_10 CGAGGCTG TAGATCGC AEL2 NIHCC_11 AAGAGGCA TAGATCGC AEL2 NIHCC_12 GTAGAGGA TAGATCGC AEL2 NIHCC_13 CGTACTAG CTCTCTAT AEL2 NIHCC_14 AGGCAGAA CTCTCTAT AEL2 NIHCC_15 TCCTGAGC CTCTCTAT AEL2 NIHCC_16 TAGGCATG CTCTCTAT AEL2 NIHCC_17 GCTACGCT CTCTCTAT AEL2 NIHCC_18 CGAGGCTG CTCTCTAT AEL2 NIHCC_19 AAGAGGCA CTCTCTAT AEL2 NIHCC_20 GTAGAGGA CTCTCTAT AEL2 NIHCC_21 CGTACTAG TATCCTCT AEL2 NIHCC_22 AGGCAGAA TATCCTCT AEL2 NIHCC_23 TCCTGAGC TATCCTCT AEL2 NIHCC_24 TAGGCATG TATCCTCT AEL2 NIHCC_25 GCTACGCT TATCCTCT AEL2 NIHCC_26 CGAGGCTG TATCCTCT AEL2 NIHCC_27 AAGAGGCA TATCCTCT AEL2 NIHCC_28 GTAGAGGA TATCCTCT AEL2 ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-custom-1_macos9-endings.txt ================================================ sample barcode_1 barcode_2 library_id_per_sample NIHCC_05 CGTACTAG TAGATCGC AEL2 NIHCC_06 AGGCAGAA TAGATCGC AEL2 NIHCC_07 TCCTGAGC TAGATCGC AEL2 NIHCC_08 TAGGCATG TAGATCGC AEL2 NIHCC_09 GCTACGCT TAGATCGC AEL2 NIHCC_10 CGAGGCTG TAGATCGC AEL2 NIHCC_11 AAGAGGCA TAGATCGC AEL2 NIHCC_12 GTAGAGGA TAGATCGC AEL2 NIHCC_13 CGTACTAG CTCTCTAT AEL2 NIHCC_14 AGGCAGAA CTCTCTAT AEL2 NIHCC_15 TCCTGAGC CTCTCTAT AEL2 NIHCC_16 TAGGCATG CTCTCTAT AEL2 NIHCC_17 GCTACGCT CTCTCTAT AEL2 NIHCC_18 CGAGGCTG CTCTCTAT AEL2 NIHCC_19 AAGAGGCA CTCTCTAT AEL2 NIHCC_20 GTAGAGGA CTCTCTAT AEL2 NIHCC_21 CGTACTAG TATCCTCT AEL2 NIHCC_22 AGGCAGAA TATCCTCT AEL2 NIHCC_23 TCCTGAGC TATCCTCT AEL2 NIHCC_24 TAGGCATG TATCCTCT AEL2 NIHCC_25 GCTACGCT TATCCTCT AEL2 NIHCC_26 CGAGGCTG TATCCTCT AEL2 NIHCC_27 AAGAGGCA TATCCTCT AEL2 NIHCC_28 GTAGAGGA TATCCTCT AEL2 ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-custom-1_win-endings.txt ================================================ sample barcode_1 barcode_2 library_id_per_sample NIHCC_05 CGTACTAG TAGATCGC AEL2 NIHCC_06 AGGCAGAA TAGATCGC AEL2 NIHCC_07 TCCTGAGC TAGATCGC AEL2 NIHCC_08 TAGGCATG TAGATCGC AEL2 NIHCC_09 GCTACGCT TAGATCGC AEL2 NIHCC_10 CGAGGCTG TAGATCGC AEL2 NIHCC_11 AAGAGGCA TAGATCGC AEL2 NIHCC_12 GTAGAGGA TAGATCGC AEL2 NIHCC_13 CGTACTAG CTCTCTAT AEL2 NIHCC_14 AGGCAGAA CTCTCTAT AEL2 NIHCC_15 TCCTGAGC CTCTCTAT AEL2 NIHCC_16 TAGGCATG CTCTCTAT AEL2 NIHCC_17 GCTACGCT CTCTCTAT AEL2 NIHCC_18 CGAGGCTG CTCTCTAT AEL2 NIHCC_19 AAGAGGCA CTCTCTAT AEL2 NIHCC_20 GTAGAGGA CTCTCTAT AEL2 NIHCC_21 CGTACTAG TATCCTCT AEL2 NIHCC_22 AGGCAGAA TATCCTCT AEL2 NIHCC_23 TCCTGAGC TATCCTCT AEL2 NIHCC_24 TAGGCATG TATCCTCT AEL2 NIHCC_25 GCTACGCT TATCCTCT AEL2 NIHCC_26 CGAGGCTG TATCCTCT AEL2 NIHCC_27 AAGAGGCA TATCCTCT AEL2 NIHCC_28 GTAGAGGA TATCCTCT AEL2 ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-custom-2.txt ================================================ sample barcode_1 barcode_2 library_id_per_sample library_strategy library_source library_selection design_description amplicon_set spike_in H2OCTL110 TGCCGGTCAG CCTGATACAA ERCC-00002_RandomPrimer-SSIV_NexteraXT_RNA:0352324801_cDNA:0369438821_LIB:13214803_A1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00002 MA_MGH_02656 CACTCAATTC TTAAGTTGTG ERCC-00022_RandomPrimer-SSIV_NexteraXT_RNA:0352324802_cDNA:0369438823_LIB:13214803_B1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00022 MA_MGH_02657 TCTCACACGC CGGACAGTGA ERCC-00042_RandomPrimer-SSIV_NexteraXT_RNA:0352324803_cDNA:0369438824_LIB:13214803_C1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00042 MA_MGH_02658 TCAATGGAGA GCACTACAAC ERCC-00061_RandomPrimer-SSIV_NexteraXT_RNA:0352324804_cDNA:0369438815_LIB:13214803_D1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00061 MA_MGH_02659 ATATGCATGT TGGTGCCTGG ERCC-00081_RandomPrimer-SSIV_NexteraXT_RNA:0352309351_cDNA:0369438796_LIB:13214803_E1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00081 MA_MGH_02660 ATGGCGCCTG TCCACGGCCT ERCC-00108_RandomPrimer-SSIV_NexteraXT_RNA:0352324806_cDNA:0369438814_LIB:13214803_F1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00108 MA_MGH_02661 TCCGTTATGT TTGTAGTGTA ERCC-00131_RandomPrimer-SSIV_NexteraXT_RNA:0352324807_cDNA:0369438813_LIB:13214803_G1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00131 H2OCTL111 GGTCTATTAA CCACGACACG ERCC-00154_RandomPrimer-SSIV_NexteraXT_RNA:0352324808_cDNA:0369438812_LIB:13214803_H1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00154 MA_MGH_02662 CAGCAATCGT TGTGATGTAT ERCC-00003_RandomPrimer-SSIV_NexteraXT_RNA:0352324809_cDNA:0369438826_LIB:13214803_A2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00003 MA_MGH_02663 TTCTGTAGAA GAGCGCAATA ERCC-00023_RandomPrimer-SSIV_NexteraXT_RNA:0352324810_cDNA:0369438825_LIB:13214803_B2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00023 MA_MGH_02664 GAACGCAATA ATCTTACTGT ERCC-00043_RandomPrimer-SSIV_NexteraXT_RNA:0352324811_cDNA:0369438808_LIB:13214803_C2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00043 MA_MGH_02665 AGTACTCATG ATGTCGTGGT ERCC-00062_RandomPrimer-SSIV_NexteraXT_RNA:0352324812_cDNA:0369438804_LIB:13214803_D2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00062 MA_MGH_02666 GGTAGAATTA GTAGCCATCA ERCC-00083_RandomPrimer-SSIV_NexteraXT_RNA:0352324813_cDNA:0369438820_LIB:13214803_E2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00083 MA_MGH_02667 TAATTAGCGT TGGTTAAGAA ERCC-00109_RandomPrimer-SSIV_NexteraXT_RNA:0352324814_cDNA:0369438807_LIB:13214803_F2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00109 MA_MGH_02668 ATTAACAAGG TGTTGTTCGT ERCC-00134_RandomPrimer-SSIV_NexteraXT_RNA:0352324815_cDNA:0369438806_LIB:13214803_G2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00134 MA_MGH_02669 TGATGGCTAC CCAACAACAT ERCC-00156_RandomPrimer-SSIV_NexteraXT_RNA:0352324816_cDNA:0369438827_LIB:13214803_H2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00156 MA_MGH_02670 GAATTACAAG ACCGGCTCAG ERCC-00004_RandomPrimer-SSIV_NexteraXT_RNA:0352324817_cDNA:0369438816_LIB:13214803_A3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00004 MA_MGH_02671 TAGAATTGGA GTTAATCTGA ERCC-00024_RandomPrimer-SSIV_NexteraXT_RNA:0352324818_cDNA:0369438800_LIB:13214803_B3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00024 MA_MGH_02672 AGGCAGCTCT CGGCTAACGT ERCC-00044_RandomPrimer-SSIV_NexteraXT_RNA:0352324819_cDNA:0369438819_LIB:13214803_C3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00044 MA_MGH_02673 ATCGGCGAAG TCCAAGAATT ERCC-00067_RandomPrimer-SSIV_NexteraXT_RNA:0352324820_cDNA:0369438811_LIB:13214803_D3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00067 MA_MGH_02674 CCGTGACCGA CCGAACGTTG ERCC-00084_RandomPrimer-SSIV_NexteraXT_RNA:0352324821_cDNA:0369438802_LIB:13214803_E3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00084 MA_MGH_02675 ATACTTGTTC TAACCGCCGA ERCC-00111_RandomPrimer-SSIV_NexteraXT_RNA:0352324822_cDNA:0369438799_LIB:13214803_F3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00111 MA_MGH_02676 TCCGCCAATT CTCCGTGCTG ERCC-00136_RandomPrimer-SSIV_NexteraXT_RNA:0352324823_cDNA:0369438798_LIB:13214803_G3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00136 MA_MGH_02677 AGGACAGGCC CATTCCAGCT ERCC-00157_RandomPrimer-SSIV_NexteraXT_RNA:0352324824_cDNA:0369438801_LIB:13214803_H3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00157 MA_MGH_02678 AGAGAACCTA GGTTATGCTA ERCC-00007_RandomPrimer-SSIV_NexteraXT_RNA:0352324825_cDNA:0369438809_LIB:13214803_A4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00007 MA_MGH_02679 GATATTGTGT ACCACACGGT ERCC-00025_RandomPrimer-SSIV_NexteraXT_RNA:0352324826_cDNA:0369438791_LIB:13214803_B4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00025 MA_MGH_02680 CGTACAGGAA TAGGTTCTCT ERCC-00046_RandomPrimer-SSIV_NexteraXT_RNA:0352324827_cDNA:0369438817_LIB:13214803_C4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00046 MA_MGH_02681 CTGCGTTACC TATGGCTCGA ERCC-00069_RandomPrimer-SSIV_NexteraXT_RNA:0352324828_cDNA:0369438803_LIB:13214803_D4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00069 MA_MGH_02682 AGGCCGTGGA CTCGTGCGTT ERCC-00085_RandomPrimer-SSIV_NexteraXT_RNA:0352324829_cDNA:0369438822_LIB:13214803_E4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00085 MA_MGH_02683 AGGAGGTATC CCAGTTGGCA ERCC-00112_RandomPrimer-SSIV_NexteraXT_RNA:0352324830_cDNA:0369438818_LIB:13214803_F4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00112 MA_MGH_02684 GCTGACGTTG TGTTCGCATT ERCC-00137_RandomPrimer-SSIV_NexteraXT_RNA:0352309367_cDNA:0369438805_LIB:13214803_G4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00137 MA_MGH_02685 CTAATAACCG AACCGCATCG ERCC-00158_RandomPrimer-SSIV_NexteraXT_RNA:0352324832_cDNA:0369438797_LIB:13214803_H4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00158 MA_MGH_02686 TCTAGGCGCG CGAAGGTTAA ERCC-00009_RandomPrimer-SSIV_NexteraXT_RNA:0352324833_cDNA:0369438788_LIB:13214803_A5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00009 MA_MGH_02687 ATAGCCAAGA AGTGCCACTG ERCC-00028_RandomPrimer-SSIV_NexteraXT_RNA:0352324834_cDNA:0369438792_LIB:13214803_B5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00028 MA_MGH_02688 TTCGGTGTGA GAACAAGTAT ERCC-00048_RandomPrimer-SSIV_NexteraXT_RNA:0352324835_cDNA:0369438790_LIB:13214803_C5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00048 MA_MGH_02689 ATGTAACGTT ACGATTGCTG ERCC-00071_RandomPrimer-SSIV_NexteraXT_RNA:0352324836_cDNA:0369438810_LIB:13214803_D5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00071 MA_MGH_02690 AACGAGGCCG ATACCTGGAT ERCC-00086_RandomPrimer-SSIV_NexteraXT_RNA:0352324837_cDNA:0369438795_LIB:13214803_E5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00086 MA_MGH_02691 TGGTGTTATG TCCAATTCTA ERCC-00113_RandomPrimer-SSIV_NexteraXT_RNA:0352324838_cDNA:0369438783_LIB:13214803_F5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00113 MA_MGH_02692 TGGCCTCTGT TGAGACAGCG ERCC-00138_RandomPrimer-SSIV_NexteraXT_RNA:0352324839_cDNA:0369438793_LIB:13214803_G5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00138 MA_MGH_02693 CCAGGCACCA ACGCTAATTA ERCC-00160_RandomPrimer-SSIV_NexteraXT_RNA:0352324840_cDNA:0369438785_LIB:13214803_H5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00160 MA_MGH_02694 CCGGTTCCTA TATATTCGAG ERCC-00012_RandomPrimer-SSIV_NexteraXT_RNA:0352324841_cDNA:0369438778_LIB:13214803_A6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00012 MA_MGH_02695 GGCCAATATT CGGTCCGATA ERCC-00031_RandomPrimer-SSIV_NexteraXT_RNA:0352324842_cDNA:0369438786_LIB:13214803_B6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00031 MA_MGH_02696 GAATACCTAT ACAATAGAGT ERCC-00051_RandomPrimer-SSIV_NexteraXT_RNA:0352324843_cDNA:0369438794_LIB:13214803_C6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00051 MA_MGH_02697 TACGTGAAGG CGGTTATTAG ERCC-00073_RandomPrimer-SSIV_NexteraXT_RNA:0352324844_cDNA:0369438781_LIB:13214803_D6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00073 MA_MGH_02698 CTTATTGGCC GATAACAAGT ERCC-00092_RandomPrimer-SSIV_NexteraXT_RNA:0352324845_cDNA:0369438789_LIB:13214803_E6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00092 MA_MGH_02699 ACAACTACTG AGTTATCACA ERCC-00116_RandomPrimer-SSIV_NexteraXT_RNA:0352324846_cDNA:0369438782_LIB:13214803_F6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00116 MA_MGH_02700 GTTGGATGAA TTCCAGGTAA ERCC-00142_RandomPrimer-SSIV_NexteraXT_RNA:0352324847_cDNA:0369438787_LIB:13214803_G6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00142 MA_MGH_02701 AATCCAATTG CATGTAGAGG ERCC-00162_RandomPrimer-SSIV_NexteraXT_RNA:0352324848_cDNA:0369438738_LIB:13214803_H6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00162 MA_MGH_02702 TATGATGGCC GATTGTCATA ERCC-00013_RandomPrimer-SSIV_NexteraXT_RNA:0352324849_cDNA:0369438736_LIB:13214803_A7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00013 MA_MGH_02703 CGCAGCAATT ATTCCGCTAT ERCC-00033_RandomPrimer-SSIV_NexteraXT_RNA:0352324850_cDNA:0369438733_LIB:13214803_B7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00033 MA_MGH_02704 ACGTTCCTTA GACCGCTGTG ERCC-00053_RandomPrimer-SSIV_NexteraXT_RNA:0352324851_cDNA:0369438772_LIB:13214803_C7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00053 MA_MGH_02705 CCGCGTATAG TAGGAACCGG ERCC-00074_RandomPrimer-SSIV_NexteraXT_RNA:0352324852_cDNA:0369438780_LIB:13214803_D7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00074 MA_MGH_02706 GATTCTGAAT AGCGGTGGAC ERCC-00095_RandomPrimer-SSIV_NexteraXT_RNA:0352309359_cDNA:0369438771_LIB:13214803_E7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00095 MA_MGH_02707 TAGAGAATAC TATAGATTCG ERCC-00117_RandomPrimer-SSIV_NexteraXT_RNA:0352324854_cDNA:0369438768_LIB:13214803_F7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00117 MA_MGH_02708 TTGTATCAGG ACAGAGGCCA ERCC-00143_RandomPrimer-SSIV_NexteraXT_RNA:0352324855_cDNA:0369438752_LIB:13214803_G7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00143 MA_MGH_02709 CACAGCGGTC ATTCCTATTG ERCC-00163_RandomPrimer-SSIV_NexteraXT_RNA:0352324856_cDNA:0369438767_LIB:13214803_H7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00163 MA_MGH_02710 CCACGCTGAA TATTCCTCAG ERCC-00014_RandomPrimer-SSIV_NexteraXT_RNA:0352324857_cDNA:0369438774_LIB:13214803_A8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00014 MA_MGH_02711 GTTCGGAGTT CGCCTTCTGA ERCC-00034_RandomPrimer-SSIV_NexteraXT_RNA:0352324858_cDNA:0369438770_LIB:13214803_B8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00034 MA_MGH_02712 ATAGCGGAAT GCGCAGAGTA ERCC-00054_RandomPrimer-SSIV_NexteraXT_RNA:0352324859_cDNA:0369438763_LIB:13214803_C8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00054 MA_MGH_02713 GCAATATTCA GGCGCCAATT ERCC-00075_RandomPrimer-SSIV_NexteraXT_RNA:0352324860_cDNA:0369438773_LIB:13214803_D8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00075 MA_MGH_02714 CTAGATTGCG AGATATGGCG ERCC-00096_RandomPrimer-SSIV_NexteraXT_RNA:0352324861_cDNA:0369438769_LIB:13214803_E8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00096 MA_MGH_02715 CGATGCGGTT CCTGCTTGGT ERCC-00120_RandomPrimer-SSIV_NexteraXT_RNA:0352324862_cDNA:0369438762_LIB:13214803_F8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00120 MA_MGH_02716 TCCGGACTAG GACGAACAAT ERCC-00144_RandomPrimer-SSIV_NexteraXT_RNA:0352324863_cDNA:0369438777_LIB:13214803_G8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00144 MA_MGH_02717 GTGACGGAGC TGGCGGTCCA ERCC-00164_RandomPrimer-SSIV_NexteraXT_RNA:0352324864_cDNA:0369438779_LIB:13214803_H8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00164 MA_MGH_02718 AATTCCATCT CTTCAGTTAC ERCC-00016_RandomPrimer-SSIV_NexteraXT_RNA:0352324865_cDNA:0369438760_LIB:13214803_A9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00016 MA_MGH_02719 TTAACGGTGT TCCTGACCGT ERCC-00035_RandomPrimer-SSIV_NexteraXT_RNA:0352324866_cDNA:0369438784_LIB:13214803_B9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00035 MA_MGH_02720 ACTTGTTATC CGCGCCTAGA ERCC-00057_RandomPrimer-SSIV_NexteraXT_RNA:0352324867_cDNA:0369438776_LIB:13214803_C9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00057 MA_MGH_02721 CGTGTACCAG AGGATAAGTT ERCC-00076_RandomPrimer-SSIV_NexteraXT_RNA:0352324868_cDNA:0369438755_LIB:13214803_D9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00076 MA_MGH_02722 TTAACCTTCG AGGCCAGACA ERCC-00097_RandomPrimer-SSIV_NexteraXT_RNA:0352324869_cDNA:0369438746_LIB:13214803_E9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00097 MA_MGH_02723 CATATGCGAT CCTTGAACGG ERCC-00123_RandomPrimer-SSIV_NexteraXT_RNA:0352324870_cDNA:0369438745_LIB:13214803_F9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00123 MA_MGH_02724 AGCCTATGAT CACCACCTAC ERCC-00145_RandomPrimer-SSIV_NexteraXT_RNA:0352324871_cDNA:0369438754_LIB:13214803_G9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00145 MA_MGH_02725 TATGACAATC TTGCTTGTAT ERCC-00165_RandomPrimer-SSIV_NexteraXT_RNA:0352324872_cDNA:0369438761_LIB:13214803_H9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00165 MA_MGH_02726 ATGTTGTTGG CAATCTATGA ERCC-00017_RandomPrimer-SSIV_NexteraXT_RNA:0352324873_cDNA:0369438735_LIB:13214803_A10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00017 MA_MGH_02727 GCACCACCAA TGGTACTGAT ERCC-00039_RandomPrimer-SSIV_NexteraXT_RNA:0352324874_cDNA:0369438758_LIB:13214803_B10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00039 MA_MGH_02728 AGGCGTTCGC TTCATCCAAC ERCC-00058_RandomPrimer-SSIV_NexteraXT_RNA:0352324875_cDNA:0369438775_LIB:13214803_C10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00058 MA_MGH_02729 CCTCCGGTTG CATAACACCA ERCC-00077_RandomPrimer-SSIV_NexteraXT_RNA:0352324876_cDNA:0369438759_LIB:13214803_D10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00077 MA_MGH_02730 GTCCACCGCT TCCTATTAGC ERCC-00098_RandomPrimer-SSIV_NexteraXT_RNA:0352324877_cDNA:0369438766_LIB:13214803_E10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00098 MA_MGH_02731 ATTGTTCGTC TCTCTAGATT ERCC-00126_RandomPrimer-SSIV_NexteraXT_RNA:0352324878_cDNA:0369438753_LIB:13214803_F10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00126 MA_MGH_02732 GGACCAGTGG CGCGAGCCTA ERCC-00147_RandomPrimer-SSIV_NexteraXT_RNA:0352324879_cDNA:0369438750_LIB:13214803_G10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00147 MA_MGH_02733 CCTTCTAACA GATAAGCTCT ERCC-00168_RandomPrimer-SSIV_NexteraXT_RNA:0352324880_cDNA:0369438756_LIB:13214803_H10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00168 MA_MGH_02734 CTCGAATATA GAGATGTCGA ERCC-00018_RandomPrimer-SSIV_NexteraXT_RNA:0352324881_cDNA:0369438764_LIB:13214803_A11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00018 MA_MGH_02735 GATCGTCGCG CTGGATATGT ERCC-00040_RandomPrimer-SSIV_NexteraXT_RNA:0352324882_cDNA:0369438765_LIB:13214803_B11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00040 MA_MGH_02736 TATCCGAGGC GGCCAATAAG ERCC-00059_RandomPrimer-SSIV_NexteraXT_RNA:0352324883_cDNA:0369438747_LIB:13214803_C11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00059 MA_MGH_02737 CGCTGTCTCA ATTACTCACC ERCC-00078_RandomPrimer-SSIV_NexteraXT_RNA:0352324884_cDNA:0369438751_LIB:13214803_D11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00078 MA_MGH_02738 AATGCGAACA AATTGGCGGA ERCC-00099_RandomPrimer-SSIV_NexteraXT_RNA:0352324885_cDNA:0369438749_LIB:13214803_E11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00099 MA_MGH_02739 AATTCTTGGA TTGTCAACTT ERCC-00128_RandomPrimer-SSIV_NexteraXT_RNA:0352324886_cDNA:0369438744_LIB:13214803_F11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00128 MA_MGH_02740 TTCCTACAGC GGCGAATTCT ERCC-00148_RandomPrimer-SSIV_NexteraXT_RNA:0352324887_cDNA:0369438757_LIB:13214803_G11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00148 MA_MGH_02741 ATCCAGGTAT CAACGTCAGC ERCC-00170_RandomPrimer-SSIV_NexteraXT_RNA:0352324888_cDNA:0369438748_LIB:13214803_H11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00170 H2OCTL112 ACGGTCCAAC TCTTACATCA ERCC-00019_RandomPrimer-SSIV_NexteraXT_RNA:0352324889_cDNA:0369438743_LIB:13214803_A12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00019 MA_MGH_02742 GTAACTTGGT CGCCATACCT ERCC-00041_RandomPrimer-SSIV_NexteraXT_RNA:0352324890_cDNA:0369438740_LIB:13214803_B12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00041 MA_MGH_02743 AGCGCCACAC CTAATGTCTT ERCC-00060_RandomPrimer-SSIV_NexteraXT_RNA:0352324891_cDNA:0369438742_LIB:13214803_C12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00060 MA_MGH_02744 TGCTACTGCC CAACCGGAGG ERCC-00079_RandomPrimer-SSIV_NexteraXT_RNA:0352324892_cDNA:0369438741_LIB:13214803_D12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00079 MA_MGH_02745 CAACACCGCA GGCAGTAGCA ERCC-00104_RandomPrimer-SSIV_NexteraXT_RNA:0352324893_cDNA:0369438734_LIB:13214803_E12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00104 MA_MGH_02746 CACCTTAATC TTAGGATAGA ERCC-00130_RandomPrimer-SSIV_NexteraXT_RNA:0352324894_cDNA:0369438732_LIB:13214803_F12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00130 MA_MGH_02747 TTGAATGTTG CGCAATCTAG ERCC-00150_RandomPrimer-SSIV_NexteraXT_RNA:0352324895_cDNA:0369438737_LIB:13214803_G12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00150 H2OCTL113 CCGGTAACAC GAGTTGTACT ERCC-00171_RandomPrimer-SSIV_NexteraXT_RNA:0352324896_cDNA:0369438739_LIB:13214803_H12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00171 ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-custom-2_win-endings.tsv ================================================ sample barcode_1 barcode_2 library_id_per_sample library_strategy library_source library_selection design_description amplicon_set spike_in H2OCTL110 TGCCGGTCAG CCTGATACAA ERCC-00002_RandomPrimer-SSIV_NexteraXT_RNA:0352324801_cDNA:0369438821_LIB:13214803_A1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00002 MA_MGH_02656 CACTCAATTC TTAAGTTGTG ERCC-00022_RandomPrimer-SSIV_NexteraXT_RNA:0352324802_cDNA:0369438823_LIB:13214803_B1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00022 MA_MGH_02657 TCTCACACGC CGGACAGTGA ERCC-00042_RandomPrimer-SSIV_NexteraXT_RNA:0352324803_cDNA:0369438824_LIB:13214803_C1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00042 MA_MGH_02658 TCAATGGAGA GCACTACAAC ERCC-00061_RandomPrimer-SSIV_NexteraXT_RNA:0352324804_cDNA:0369438815_LIB:13214803_D1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00061 MA_MGH_02659 ATATGCATGT TGGTGCCTGG ERCC-00081_RandomPrimer-SSIV_NexteraXT_RNA:0352309351_cDNA:0369438796_LIB:13214803_E1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00081 MA_MGH_02660 ATGGCGCCTG TCCACGGCCT ERCC-00108_RandomPrimer-SSIV_NexteraXT_RNA:0352324806_cDNA:0369438814_LIB:13214803_F1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00108 MA_MGH_02661 TCCGTTATGT TTGTAGTGTA ERCC-00131_RandomPrimer-SSIV_NexteraXT_RNA:0352324807_cDNA:0369438813_LIB:13214803_G1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00131 H2OCTL111 GGTCTATTAA CCACGACACG ERCC-00154_RandomPrimer-SSIV_NexteraXT_RNA:0352324808_cDNA:0369438812_LIB:13214803_H1 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00154 MA_MGH_02662 CAGCAATCGT TGTGATGTAT ERCC-00003_RandomPrimer-SSIV_NexteraXT_RNA:0352324809_cDNA:0369438826_LIB:13214803_A2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00003 MA_MGH_02663 TTCTGTAGAA GAGCGCAATA ERCC-00023_RandomPrimer-SSIV_NexteraXT_RNA:0352324810_cDNA:0369438825_LIB:13214803_B2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00023 MA_MGH_02664 GAACGCAATA ATCTTACTGT ERCC-00043_RandomPrimer-SSIV_NexteraXT_RNA:0352324811_cDNA:0369438808_LIB:13214803_C2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00043 MA_MGH_02665 AGTACTCATG ATGTCGTGGT ERCC-00062_RandomPrimer-SSIV_NexteraXT_RNA:0352324812_cDNA:0369438804_LIB:13214803_D2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00062 MA_MGH_02666 GGTAGAATTA GTAGCCATCA ERCC-00083_RandomPrimer-SSIV_NexteraXT_RNA:0352324813_cDNA:0369438820_LIB:13214803_E2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00083 MA_MGH_02667 TAATTAGCGT TGGTTAAGAA ERCC-00109_RandomPrimer-SSIV_NexteraXT_RNA:0352324814_cDNA:0369438807_LIB:13214803_F2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00109 MA_MGH_02668 ATTAACAAGG TGTTGTTCGT ERCC-00134_RandomPrimer-SSIV_NexteraXT_RNA:0352324815_cDNA:0369438806_LIB:13214803_G2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00134 MA_MGH_02669 TGATGGCTAC CCAACAACAT ERCC-00156_RandomPrimer-SSIV_NexteraXT_RNA:0352324816_cDNA:0369438827_LIB:13214803_H2 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00156 MA_MGH_02670 GAATTACAAG ACCGGCTCAG ERCC-00004_RandomPrimer-SSIV_NexteraXT_RNA:0352324817_cDNA:0369438816_LIB:13214803_A3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00004 MA_MGH_02671 TAGAATTGGA GTTAATCTGA ERCC-00024_RandomPrimer-SSIV_NexteraXT_RNA:0352324818_cDNA:0369438800_LIB:13214803_B3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00024 MA_MGH_02672 AGGCAGCTCT CGGCTAACGT ERCC-00044_RandomPrimer-SSIV_NexteraXT_RNA:0352324819_cDNA:0369438819_LIB:13214803_C3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00044 MA_MGH_02673 ATCGGCGAAG TCCAAGAATT ERCC-00067_RandomPrimer-SSIV_NexteraXT_RNA:0352324820_cDNA:0369438811_LIB:13214803_D3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00067 MA_MGH_02674 CCGTGACCGA CCGAACGTTG ERCC-00084_RandomPrimer-SSIV_NexteraXT_RNA:0352324821_cDNA:0369438802_LIB:13214803_E3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00084 MA_MGH_02675 ATACTTGTTC TAACCGCCGA ERCC-00111_RandomPrimer-SSIV_NexteraXT_RNA:0352324822_cDNA:0369438799_LIB:13214803_F3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00111 MA_MGH_02676 TCCGCCAATT CTCCGTGCTG ERCC-00136_RandomPrimer-SSIV_NexteraXT_RNA:0352324823_cDNA:0369438798_LIB:13214803_G3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00136 MA_MGH_02677 AGGACAGGCC CATTCCAGCT ERCC-00157_RandomPrimer-SSIV_NexteraXT_RNA:0352324824_cDNA:0369438801_LIB:13214803_H3 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00157 MA_MGH_02678 AGAGAACCTA GGTTATGCTA ERCC-00007_RandomPrimer-SSIV_NexteraXT_RNA:0352324825_cDNA:0369438809_LIB:13214803_A4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00007 MA_MGH_02679 GATATTGTGT ACCACACGGT ERCC-00025_RandomPrimer-SSIV_NexteraXT_RNA:0352324826_cDNA:0369438791_LIB:13214803_B4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00025 MA_MGH_02680 CGTACAGGAA TAGGTTCTCT ERCC-00046_RandomPrimer-SSIV_NexteraXT_RNA:0352324827_cDNA:0369438817_LIB:13214803_C4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00046 MA_MGH_02681 CTGCGTTACC TATGGCTCGA ERCC-00069_RandomPrimer-SSIV_NexteraXT_RNA:0352324828_cDNA:0369438803_LIB:13214803_D4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00069 MA_MGH_02682 AGGCCGTGGA CTCGTGCGTT ERCC-00085_RandomPrimer-SSIV_NexteraXT_RNA:0352324829_cDNA:0369438822_LIB:13214803_E4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00085 MA_MGH_02683 AGGAGGTATC CCAGTTGGCA ERCC-00112_RandomPrimer-SSIV_NexteraXT_RNA:0352324830_cDNA:0369438818_LIB:13214803_F4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00112 MA_MGH_02684 GCTGACGTTG TGTTCGCATT ERCC-00137_RandomPrimer-SSIV_NexteraXT_RNA:0352309367_cDNA:0369438805_LIB:13214803_G4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00137 MA_MGH_02685 CTAATAACCG AACCGCATCG ERCC-00158_RandomPrimer-SSIV_NexteraXT_RNA:0352324832_cDNA:0369438797_LIB:13214803_H4 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00158 MA_MGH_02686 TCTAGGCGCG CGAAGGTTAA ERCC-00009_RandomPrimer-SSIV_NexteraXT_RNA:0352324833_cDNA:0369438788_LIB:13214803_A5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00009 MA_MGH_02687 ATAGCCAAGA AGTGCCACTG ERCC-00028_RandomPrimer-SSIV_NexteraXT_RNA:0352324834_cDNA:0369438792_LIB:13214803_B5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00028 MA_MGH_02688 TTCGGTGTGA GAACAAGTAT ERCC-00048_RandomPrimer-SSIV_NexteraXT_RNA:0352324835_cDNA:0369438790_LIB:13214803_C5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00048 MA_MGH_02689 ATGTAACGTT ACGATTGCTG ERCC-00071_RandomPrimer-SSIV_NexteraXT_RNA:0352324836_cDNA:0369438810_LIB:13214803_D5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00071 MA_MGH_02690 AACGAGGCCG ATACCTGGAT ERCC-00086_RandomPrimer-SSIV_NexteraXT_RNA:0352324837_cDNA:0369438795_LIB:13214803_E5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00086 MA_MGH_02691 TGGTGTTATG TCCAATTCTA ERCC-00113_RandomPrimer-SSIV_NexteraXT_RNA:0352324838_cDNA:0369438783_LIB:13214803_F5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00113 MA_MGH_02692 TGGCCTCTGT TGAGACAGCG ERCC-00138_RandomPrimer-SSIV_NexteraXT_RNA:0352324839_cDNA:0369438793_LIB:13214803_G5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00138 MA_MGH_02693 CCAGGCACCA ACGCTAATTA ERCC-00160_RandomPrimer-SSIV_NexteraXT_RNA:0352324840_cDNA:0369438785_LIB:13214803_H5 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00160 MA_MGH_02694 CCGGTTCCTA TATATTCGAG ERCC-00012_RandomPrimer-SSIV_NexteraXT_RNA:0352324841_cDNA:0369438778_LIB:13214803_A6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00012 MA_MGH_02695 GGCCAATATT CGGTCCGATA ERCC-00031_RandomPrimer-SSIV_NexteraXT_RNA:0352324842_cDNA:0369438786_LIB:13214803_B6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00031 MA_MGH_02696 GAATACCTAT ACAATAGAGT ERCC-00051_RandomPrimer-SSIV_NexteraXT_RNA:0352324843_cDNA:0369438794_LIB:13214803_C6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00051 MA_MGH_02697 TACGTGAAGG CGGTTATTAG ERCC-00073_RandomPrimer-SSIV_NexteraXT_RNA:0352324844_cDNA:0369438781_LIB:13214803_D6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00073 MA_MGH_02698 CTTATTGGCC GATAACAAGT ERCC-00092_RandomPrimer-SSIV_NexteraXT_RNA:0352324845_cDNA:0369438789_LIB:13214803_E6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00092 MA_MGH_02699 ACAACTACTG AGTTATCACA ERCC-00116_RandomPrimer-SSIV_NexteraXT_RNA:0352324846_cDNA:0369438782_LIB:13214803_F6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00116 MA_MGH_02700 GTTGGATGAA TTCCAGGTAA ERCC-00142_RandomPrimer-SSIV_NexteraXT_RNA:0352324847_cDNA:0369438787_LIB:13214803_G6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00142 MA_MGH_02701 AATCCAATTG CATGTAGAGG ERCC-00162_RandomPrimer-SSIV_NexteraXT_RNA:0352324848_cDNA:0369438738_LIB:13214803_H6 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00162 MA_MGH_02702 TATGATGGCC GATTGTCATA ERCC-00013_RandomPrimer-SSIV_NexteraXT_RNA:0352324849_cDNA:0369438736_LIB:13214803_A7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00013 MA_MGH_02703 CGCAGCAATT ATTCCGCTAT ERCC-00033_RandomPrimer-SSIV_NexteraXT_RNA:0352324850_cDNA:0369438733_LIB:13214803_B7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00033 MA_MGH_02704 ACGTTCCTTA GACCGCTGTG ERCC-00053_RandomPrimer-SSIV_NexteraXT_RNA:0352324851_cDNA:0369438772_LIB:13214803_C7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00053 MA_MGH_02705 CCGCGTATAG TAGGAACCGG ERCC-00074_RandomPrimer-SSIV_NexteraXT_RNA:0352324852_cDNA:0369438780_LIB:13214803_D7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00074 MA_MGH_02706 GATTCTGAAT AGCGGTGGAC ERCC-00095_RandomPrimer-SSIV_NexteraXT_RNA:0352309359_cDNA:0369438771_LIB:13214803_E7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00095 MA_MGH_02707 TAGAGAATAC TATAGATTCG ERCC-00117_RandomPrimer-SSIV_NexteraXT_RNA:0352324854_cDNA:0369438768_LIB:13214803_F7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00117 MA_MGH_02708 TTGTATCAGG ACAGAGGCCA ERCC-00143_RandomPrimer-SSIV_NexteraXT_RNA:0352324855_cDNA:0369438752_LIB:13214803_G7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00143 MA_MGH_02709 CACAGCGGTC ATTCCTATTG ERCC-00163_RandomPrimer-SSIV_NexteraXT_RNA:0352324856_cDNA:0369438767_LIB:13214803_H7 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00163 MA_MGH_02710 CCACGCTGAA TATTCCTCAG ERCC-00014_RandomPrimer-SSIV_NexteraXT_RNA:0352324857_cDNA:0369438774_LIB:13214803_A8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00014 MA_MGH_02711 GTTCGGAGTT CGCCTTCTGA ERCC-00034_RandomPrimer-SSIV_NexteraXT_RNA:0352324858_cDNA:0369438770_LIB:13214803_B8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00034 MA_MGH_02712 ATAGCGGAAT GCGCAGAGTA ERCC-00054_RandomPrimer-SSIV_NexteraXT_RNA:0352324859_cDNA:0369438763_LIB:13214803_C8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00054 MA_MGH_02713 GCAATATTCA GGCGCCAATT ERCC-00075_RandomPrimer-SSIV_NexteraXT_RNA:0352324860_cDNA:0369438773_LIB:13214803_D8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00075 MA_MGH_02714 CTAGATTGCG AGATATGGCG ERCC-00096_RandomPrimer-SSIV_NexteraXT_RNA:0352324861_cDNA:0369438769_LIB:13214803_E8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00096 MA_MGH_02715 CGATGCGGTT CCTGCTTGGT ERCC-00120_RandomPrimer-SSIV_NexteraXT_RNA:0352324862_cDNA:0369438762_LIB:13214803_F8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00120 MA_MGH_02716 TCCGGACTAG GACGAACAAT ERCC-00144_RandomPrimer-SSIV_NexteraXT_RNA:0352324863_cDNA:0369438777_LIB:13214803_G8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00144 MA_MGH_02717 GTGACGGAGC TGGCGGTCCA ERCC-00164_RandomPrimer-SSIV_NexteraXT_RNA:0352324864_cDNA:0369438779_LIB:13214803_H8 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00164 MA_MGH_02718 AATTCCATCT CTTCAGTTAC ERCC-00016_RandomPrimer-SSIV_NexteraXT_RNA:0352324865_cDNA:0369438760_LIB:13214803_A9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00016 MA_MGH_02719 TTAACGGTGT TCCTGACCGT ERCC-00035_RandomPrimer-SSIV_NexteraXT_RNA:0352324866_cDNA:0369438784_LIB:13214803_B9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00035 MA_MGH_02720 ACTTGTTATC CGCGCCTAGA ERCC-00057_RandomPrimer-SSIV_NexteraXT_RNA:0352324867_cDNA:0369438776_LIB:13214803_C9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00057 MA_MGH_02721 CGTGTACCAG AGGATAAGTT ERCC-00076_RandomPrimer-SSIV_NexteraXT_RNA:0352324868_cDNA:0369438755_LIB:13214803_D9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00076 MA_MGH_02722 TTAACCTTCG AGGCCAGACA ERCC-00097_RandomPrimer-SSIV_NexteraXT_RNA:0352324869_cDNA:0369438746_LIB:13214803_E9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00097 MA_MGH_02723 CATATGCGAT CCTTGAACGG ERCC-00123_RandomPrimer-SSIV_NexteraXT_RNA:0352324870_cDNA:0369438745_LIB:13214803_F9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00123 MA_MGH_02724 AGCCTATGAT CACCACCTAC ERCC-00145_RandomPrimer-SSIV_NexteraXT_RNA:0352324871_cDNA:0369438754_LIB:13214803_G9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00145 MA_MGH_02725 TATGACAATC TTGCTTGTAT ERCC-00165_RandomPrimer-SSIV_NexteraXT_RNA:0352324872_cDNA:0369438761_LIB:13214803_H9 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00165 MA_MGH_02726 ATGTTGTTGG CAATCTATGA ERCC-00017_RandomPrimer-SSIV_NexteraXT_RNA:0352324873_cDNA:0369438735_LIB:13214803_A10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00017 MA_MGH_02727 GCACCACCAA TGGTACTGAT ERCC-00039_RandomPrimer-SSIV_NexteraXT_RNA:0352324874_cDNA:0369438758_LIB:13214803_B10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00039 MA_MGH_02728 AGGCGTTCGC TTCATCCAAC ERCC-00058_RandomPrimer-SSIV_NexteraXT_RNA:0352324875_cDNA:0369438775_LIB:13214803_C10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00058 MA_MGH_02729 CCTCCGGTTG CATAACACCA ERCC-00077_RandomPrimer-SSIV_NexteraXT_RNA:0352324876_cDNA:0369438759_LIB:13214803_D10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00077 MA_MGH_02730 GTCCACCGCT TCCTATTAGC ERCC-00098_RandomPrimer-SSIV_NexteraXT_RNA:0352324877_cDNA:0369438766_LIB:13214803_E10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00098 MA_MGH_02731 ATTGTTCGTC TCTCTAGATT ERCC-00126_RandomPrimer-SSIV_NexteraXT_RNA:0352324878_cDNA:0369438753_LIB:13214803_F10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00126 MA_MGH_02732 GGACCAGTGG CGCGAGCCTA ERCC-00147_RandomPrimer-SSIV_NexteraXT_RNA:0352324879_cDNA:0369438750_LIB:13214803_G10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00147 MA_MGH_02733 CCTTCTAACA GATAAGCTCT ERCC-00168_RandomPrimer-SSIV_NexteraXT_RNA:0352324880_cDNA:0369438756_LIB:13214803_H10 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00168 MA_MGH_02734 CTCGAATATA GAGATGTCGA ERCC-00018_RandomPrimer-SSIV_NexteraXT_RNA:0352324881_cDNA:0369438764_LIB:13214803_A11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00018 MA_MGH_02735 GATCGTCGCG CTGGATATGT ERCC-00040_RandomPrimer-SSIV_NexteraXT_RNA:0352324882_cDNA:0369438765_LIB:13214803_B11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00040 MA_MGH_02736 TATCCGAGGC GGCCAATAAG ERCC-00059_RandomPrimer-SSIV_NexteraXT_RNA:0352324883_cDNA:0369438747_LIB:13214803_C11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00059 MA_MGH_02737 CGCTGTCTCA ATTACTCACC ERCC-00078_RandomPrimer-SSIV_NexteraXT_RNA:0352324884_cDNA:0369438751_LIB:13214803_D11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00078 MA_MGH_02738 AATGCGAACA AATTGGCGGA ERCC-00099_RandomPrimer-SSIV_NexteraXT_RNA:0352324885_cDNA:0369438749_LIB:13214803_E11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00099 MA_MGH_02739 AATTCTTGGA TTGTCAACTT ERCC-00128_RandomPrimer-SSIV_NexteraXT_RNA:0352324886_cDNA:0369438744_LIB:13214803_F11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00128 MA_MGH_02740 TTCCTACAGC GGCGAATTCT ERCC-00148_RandomPrimer-SSIV_NexteraXT_RNA:0352324887_cDNA:0369438757_LIB:13214803_G11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00148 MA_MGH_02741 ATCCAGGTAT CAACGTCAGC ERCC-00170_RandomPrimer-SSIV_NexteraXT_RNA:0352324888_cDNA:0369438748_LIB:13214803_H11 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00170 H2OCTL112 ACGGTCCAAC TCTTACATCA ERCC-00019_RandomPrimer-SSIV_NexteraXT_RNA:0352324889_cDNA:0369438743_LIB:13214803_A12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00019 MA_MGH_02742 GTAACTTGGT CGCCATACCT ERCC-00041_RandomPrimer-SSIV_NexteraXT_RNA:0352324890_cDNA:0369438740_LIB:13214803_B12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00041 MA_MGH_02743 AGCGCCACAC CTAATGTCTT ERCC-00060_RandomPrimer-SSIV_NexteraXT_RNA:0352324891_cDNA:0369438742_LIB:13214803_C12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00060 MA_MGH_02744 TGCTACTGCC CAACCGGAGG ERCC-00079_RandomPrimer-SSIV_NexteraXT_RNA:0352324892_cDNA:0369438741_LIB:13214803_D12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00079 MA_MGH_02745 CAACACCGCA GGCAGTAGCA ERCC-00104_RandomPrimer-SSIV_NexteraXT_RNA:0352324893_cDNA:0369438734_LIB:13214803_E12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00104 MA_MGH_02746 CACCTTAATC TTAGGATAGA ERCC-00130_RandomPrimer-SSIV_NexteraXT_RNA:0352324894_cDNA:0369438732_LIB:13214803_F12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00130 MA_MGH_02747 TTGAATGTTG CGCAATCTAG ERCC-00150_RandomPrimer-SSIV_NexteraXT_RNA:0352324895_cDNA:0369438737_LIB:13214803_G12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00150 H2OCTL113 CCGGTAACAC GAGTTGTACT ERCC-00171_RandomPrimer-SSIV_NexteraXT_RNA:0352324896_cDNA:0369438739_LIB:13214803_H12 RNA-Seq VIRAL RNA cDNA RandomPrimer-SSIV_NexteraXT ERCC-00171 ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-custom-inner-barcodes-outer-collapse.tsv ================================================ sample library_id_per_sample I7_Index_ID barcode_1 I5_Index_ID barcode_2 Inline_Index_ID barcode_3 SAMPLE_19923 Pool_1 CTGATCGT GCGCATAT 1 CGACTTGGT SAMPLE_19903 Pool_1 CTGATCGT GCGCATAT 2 GTGGCTGCT SAMPLE_19877 Pool_1 CTGATCGT GCGCATAT 3 GCAGTTACT SAMPLE_19891 Pool_1 CTGATCGT GCGCATAT 4 CACGATGAT SAMPLE_19886 Pool_1 CTGATCGT GCGCATAT 5 CGTGGTAAT SAMPLE_19924 Pool_1 CTGATCGT GCGCATAT 6 ATAATTCTT SAMPLE_19897 Pool_1 CTGATCGT GCGCATAT 7 CTTGGGCCT H2O_1 Pool_1 CTGATCGT GCGCATAT 8 ATGTTGTAT SAMPLE_19888 Pool_1 CTGATCGT GCGCATAT 9 CTGGTTCAT SAMPLE_19970 Pool_1 CTGATCGT GCGCATAT 10 GTCCATATT SAMPLE_19962 Pool_1 CTGATCGT GCGCATAT 11 GCGAGTTGT SAMPLE_19937 Pool_1 CTGATCGT GCGCATAT 12 GCCCTCCGT SAMPLE_19925 Pool_1 CTGATCGT GCGCATAT 13 AATAATGTT SAMPLE_19929 Pool_1 CTGATCGT GCGCATAT 14 CAAGTGATT SAMPLE_19943 Pool_1 CTGATCGT GCGCATAT 15 AAGACGGGT SAMPLE_19889 Pool_1 CTGATCGT GCGCATAT 16 GTACCGAGT SAMPLE_19910 Pool_1 CTGATCGT GCGCATAT 17 CGCCAGACT SAMPLE_19909 Pool_1 CTGATCGT GCGCATAT 18 CCGCGGGAT SAMPLE_19918 Pool_1 CTGATCGT GCGCATAT 19 AAGTGCCGT SAMPLE_19895 Pool_1 CTGATCGT GCGCATAT 20 ACAATCTCT SAMPLE_19932 Pool_1 CTGATCGT GCGCATAT 21 CATCTGTAT SAMPLE_19930 Pool_1 CTGATCGT GCGCATAT 22 GTCTCCCAT SAMPLE_19911 Pool_1 CTGATCGT GCGCATAT 23 CTGTAGGGT SAMPLE_19948 Pool_1 CTGATCGT GCGCATAT 24 AGTTAGAGT SAMPLE_19894 Pool_2 ACTCTCGA CTGTACCA 1 CGACTTGGT SAMPLE_19922 Pool_2 ACTCTCGA CTGTACCA 2 GTGGCTGCT SAMPLE_19969 Pool_2 ACTCTCGA CTGTACCA 3 GCAGTTACT SAMPLE_19939 Pool_2 ACTCTCGA CTGTACCA 4 CACGATGAT SAMPLE_19902 Pool_2 ACTCTCGA CTGTACCA 5 CGTGGTAAT SAMPLE_19952 Pool_2 ACTCTCGA CTGTACCA 6 ATAATTCTT SAMPLE_19941 Pool_2 ACTCTCGA CTGTACCA 7 CTTGGGCCT H2O_2 Pool_2 ACTCTCGA CTGTACCA 8 ATGTTGTAT SAMPLE_19917 Pool_2 ACTCTCGA CTGTACCA 9 CTGGTTCAT SAMPLE_19907 Pool_2 ACTCTCGA CTGTACCA 10 GTCCATATT SAMPLE_19926 Pool_2 ACTCTCGA CTGTACCA 11 GCGAGTTGT SAMPLE_19899 Pool_2 ACTCTCGA CTGTACCA 12 GCCCTCCGT SAMPLE_19951 Pool_2 ACTCTCGA CTGTACCA 13 AATAATGTT SAMPLE_19949 Pool_2 ACTCTCGA CTGTACCA 14 CAAGTGATT SAMPLE_19893 Pool_2 ACTCTCGA CTGTACCA 15 AAGACGGGT SAMPLE_19947 Pool_2 ACTCTCGA CTGTACCA 16 GTACCGAGT SAMPLE_19908 Pool_2 ACTCTCGA CTGTACCA 17 CGCCAGACT SAMPLE_19957 Pool_2 ACTCTCGA CTGTACCA 18 CCGCGGGAT SAMPLE_19971 Pool_2 ACTCTCGA CTGTACCA 19 AAGTGCCGT SAMPLE_19964 Pool_2 ACTCTCGA CTGTACCA 20 ACAATCTCT SAMPLE_19955 Pool_2 ACTCTCGA CTGTACCA 21 CATCTGTAT SAMPLE_19963 Pool_2 ACTCTCGA CTGTACCA 22 GTCTCCCAT SAMPLE_19944 Pool_2 ACTCTCGA CTGTACCA 23 CTGTAGGGT SAMPLE_19931 Pool_2 ACTCTCGA CTGTACCA 24 AGTTAGAGT SAMPLE_19914 Pool_3 TGAGCTAG GAACGGTT 1 CGACTTGGT SAMPLE_19883 Pool_3 TGAGCTAG GAACGGTT 2 GTGGCTGCT SAMPLE_19915 Pool_3 TGAGCTAG GAACGGTT 3 GCAGTTACT SAMPLE_19904 Pool_3 TGAGCTAG GAACGGTT 4 CACGATGAT SAMPLE_19945 Pool_3 TGAGCTAG GAACGGTT 5 CGTGGTAAT SAMPLE_19940 Pool_3 TGAGCTAG GAACGGTT 6 ATAATTCTT SAMPLE_19933 Pool_3 TGAGCTAG GAACGGTT 7 CTTGGGCCT H2O_3 Pool_3 TGAGCTAG GAACGGTT 8 ATGTTGTAT SAMPLE_19892 Pool_3 TGAGCTAG GAACGGTT 9 CTGGTTCAT SAMPLE_19956 Pool_3 TGAGCTAG GAACGGTT 10 GTCCATATT SAMPLE_19900 Pool_3 TGAGCTAG GAACGGTT 11 GCGAGTTGT SAMPLE_19966 Pool_3 TGAGCTAG GAACGGTT 12 GCCCTCCGT SAMPLE_19950 Pool_3 TGAGCTAG GAACGGTT 13 AATAATGTT SAMPLE_19958 Pool_3 TGAGCTAG GAACGGTT 14 CAAGTGATT SAMPLE_19896 Pool_3 TGAGCTAG GAACGGTT 15 AAGACGGGT SAMPLE_19906 Pool_3 TGAGCTAG GAACGGTT 16 GTACCGAGT SAMPLE_19936 Pool_3 TGAGCTAG GAACGGTT 17 CGCCAGACT SAMPLE_19890 Pool_3 TGAGCTAG GAACGGTT 18 CCGCGGGAT SAMPLE_19912 Pool_3 TGAGCTAG GAACGGTT 19 AAGTGCCGT SAMPLE_19887 Pool_3 TGAGCTAG GAACGGTT 20 ACAATCTCT SAMPLE_19878 Pool_3 TGAGCTAG GAACGGTT 21 CATCTGTAT SAMPLE_19942 Pool_3 TGAGCTAG GAACGGTT 22 GTCTCCCAT SAMPLE_19927 Pool_3 TGAGCTAG GAACGGTT 23 CTGTAGGGT SAMPLE_19960 Pool_3 TGAGCTAG GAACGGTT 24 AGTTAGAGT SAMPLE_19938 Pool_4 GAGACGAT ACCGGTTA 1 CGACTTGGT SAMPLE_19921 Pool_4 GAGACGAT ACCGGTTA 2 GTGGCTGCT SAMPLE_19919 Pool_4 GAGACGAT ACCGGTTA 3 GCAGTTACT SAMPLE_19946 Pool_4 GAGACGAT ACCGGTTA 4 CACGATGAT SAMPLE_19913 Pool_4 GAGACGAT ACCGGTTA 5 CGTGGTAAT SAMPLE_19935 Pool_4 GAGACGAT ACCGGTTA 6 ATAATTCTT SAMPLE_19885 Pool_4 GAGACGAT ACCGGTTA 7 CTTGGGCCT H2O_4 Pool_4 GAGACGAT ACCGGTTA 8 ATGTTGTAT SAMPLE_19879 Pool_4 GAGACGAT ACCGGTTA 9 CTGGTTCAT SAMPLE_19928 Pool_4 GAGACGAT ACCGGTTA 10 GTCCATATT SAMPLE_19954 Pool_4 GAGACGAT ACCGGTTA 11 GCGAGTTGT SAMPLE_19961 Pool_4 GAGACGAT ACCGGTTA 12 GCCCTCCGT SAMPLE_19953 Pool_4 GAGACGAT ACCGGTTA 13 AATAATGTT SAMPLE_19959 Pool_4 GAGACGAT ACCGGTTA 14 CAAGTGATT SAMPLE_19965 Pool_4 GAGACGAT ACCGGTTA 15 AAGACGGGT SAMPLE_19967 Pool_4 GAGACGAT ACCGGTTA 16 GTACCGAGT SAMPLE_19920 Pool_4 GAGACGAT ACCGGTTA 17 CGCCAGACT SAMPLE_19898 Pool_4 GAGACGAT ACCGGTTA 18 CCGCGGGAT SAMPLE_19916 Pool_4 GAGACGAT ACCGGTTA 19 AAGTGCCGT SAMPLE_19901 Pool_4 GAGACGAT ACCGGTTA 20 ACAATCTCT SAMPLE_19934 Pool_4 GAGACGAT ACCGGTTA 21 CATCTGTAT SAMPLE_19905 Pool_4 GAGACGAT ACCGGTTA 22 GTCTCCCAT SAMPLE_19884 Pool_4 GAGACGAT ACCGGTTA 23 CTGTAGGGT SAMPLE_19968 Pool_4 GAGACGAT ACCGGTTA 24 AGTTAGAGT ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-hiseq-1.csv ================================================ FCID,Lane,SampleID,SampleRef,Index,Index2,Description,Control,Recipe,Operator,SampleProject,Analysis,Bait,RRBS Restriction Enzyme,RRBS Desired,Investigator Name,referenceSequence,referenceVersion,projectManagerEmail,libraryName HVFF2ADXX,1,NIH28,Ebola_virus_Sierra_Leone,GTAGAGGA,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH28,Ebola_virus_Sierra_Leone,GTAGAGGA,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH27,Ebola_virus_Sierra_Leone,AAGAGGCA,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH27,Ebola_virus_Sierra_Leone,AAGAGGCA,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH26,Ebola_virus_Sierra_Leone,CGAGGCTG,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH26,Ebola_virus_Sierra_Leone,CGAGGCTG,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH25,Ebola_virus_Sierra_Leone,GCTACGCT,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH25,Ebola_virus_Sierra_Leone,GCTACGCT,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH24,Ebola_virus_Sierra_Leone,TAGGCATG,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH24,Ebola_virus_Sierra_Leone,TAGGCATG,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH23,Ebola_virus_Sierra_Leone,TCCTGAGC,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH23,Ebola_virus_Sierra_Leone,TCCTGAGC,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH22,Ebola_virus_Sierra_Leone,AGGCAGAA,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH22,Ebola_virus_Sierra_Leone,AGGCAGAA,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH21,Ebola_virus_Sierra_Leone,CGTACTAG,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH21,Ebola_virus_Sierra_Leone,CGTACTAG,TATCCTCT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH20,Ebola_virus_Sierra_Leone,GTAGAGGA,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH20,Ebola_virus_Sierra_Leone,GTAGAGGA,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH19,Ebola_virus_Sierra_Leone,AAGAGGCA,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH19,Ebola_virus_Sierra_Leone,AAGAGGCA,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH18,Ebola_virus_Sierra_Leone,CGAGGCTG,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH18,Ebola_virus_Sierra_Leone,CGAGGCTG,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH17,Ebola_virus_Sierra_Leone,GCTACGCT,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH17,Ebola_virus_Sierra_Leone,GCTACGCT,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH16,Ebola_virus_Sierra_Leone,TAGGCATG,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH16,Ebola_virus_Sierra_Leone,TAGGCATG,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH15,Ebola_virus_Sierra_Leone,TCCTGAGC,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH15,Ebola_virus_Sierra_Leone,TCCTGAGC,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH14,Ebola_virus_Sierra_Leone,AGGCAGAA,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH14,Ebola_virus_Sierra_Leone,AGGCAGAA,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH13,Ebola_virus_Sierra_Leone,CGTACTAG,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH13,Ebola_virus_Sierra_Leone,CGTACTAG,CTCTCTAT,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH12,Ebola_virus_Sierra_Leone,GTAGAGGA,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH12,Ebola_virus_Sierra_Leone,GTAGAGGA,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH11,Ebola_virus_Sierra_Leone,AAGAGGCA,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH11,Ebola_virus_Sierra_Leone,AAGAGGCA,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH10,Ebola_virus_Sierra_Leone,CGAGGCTG,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH10,Ebola_virus_Sierra_Leone,CGAGGCTG,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH9,Ebola_virus_Sierra_Leone,GCTACGCT,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH9,Ebola_virus_Sierra_Leone,GCTACGCT,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH8,Ebola_virus_Sierra_Leone,TAGGCATG,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH8,Ebola_virus_Sierra_Leone,TAGGCATG,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH7,Ebola_virus_Sierra_Leone,TCCTGAGC,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH7,Ebola_virus_Sierra_Leone,TCCTGAGC,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH6,Ebola_virus_Sierra_Leone,AGGCAGAA,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH6,Ebola_virus_Sierra_Leone,AGGCAGAA,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,1,NIH5,Ebola_virus_Sierra_Leone,CGTACTAG,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL HVFF2ADXX,2,NIH5,Ebola_virus_Sierra_Leone,CGTACTAG,TAGATCGC,,,,tamason,IDI,,,Mspl,,alin@broadinstitute.org,Ebola_virus_Sierra_Leone,0,alin@broadinstitute.org,NIH-AEL ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-in-Broad-MiSeq-Format_with_Picard_Block.csv ================================================ [Header],,,, Investigator Name,Lisa,,, Project Name,WUS lmf 2,,, Experiment Name,General,,, Date,1/10/2017,,, Workflow,Resequencing,,, Chemistry,Amplicon,,, ,,,, [Reads],,,, 150,,,, Index,,,, Index,,,, 150,,,, ,,,, [Manifests],,,, A,ManifestNameHere,,, ,,,, [Settings],,,, FilterPCRDuplicates,1,,, OnlyGenerateFastq,0,,, ,,,, [Data],,,, Sample_ID,Sample_Name,GenomeFolder,Index,Index2 123618_MGH015B_repeat(Lisa),MGH015B_repeat(Lisa),,AGGCAGAA,TATCCTCT 123617_WB-MF-1e4,WB-MF-1e4,,GGACTCCT,TATCCTCT 123616_WB-1e4,WB-1e4,,TCCTGAGC,CTCTCTAT 123615_WB-MF-1e6,WB-MF-1e6,,AGGCAGAA,CTCTCTAT 123614_WB-1e6,WB-1e6,,CGTACTAG,CTCTCTAT 123613_Plasma-MF-1e6,Plasma-MF-1e6,,TAAGGCGA,CTCTCTAT 123612_Plasma-1e6,Plasma-1e6,,GGACTCCT,TAGATCGC 123611_Plasma-MF-1e4,Plasma-MF-1e4,,TCCTGAGC,TAGATCGC 123610_Plasma-1e4,Plasma-1e4,,AGGCAGAA,TAGATCGC 123609_Plasma-MF-1e2,Plasma-MF-1e2,,CGTACTAG,TAGATCGC 123608_Plasma-1e2,Plasma-1e2,,TAAGGCGA,TAGATCGC ,,,, [Picard],,,, analysisType,WholeGenomeShotgun.AssemblyWithoutReference,,, referenceSequence,,,, referenceVersion,0,,, baitSetName,,,, enzyme,Mspl,,, fragSizeRange,,,, projectManagerEmail,someone@example.com,,, walkupNotes,Walk Up Sequencing,,, libraryName,EVSpikeins,,, ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-miseq-1.csv ================================================ [Header],,,,,,,,, IEMFileVersion,4,,,,,,,, Investigator Name,James,,,,,,,, Experiment Name,EBoV HS ,,,,,,,, Date,8/18/2015,,,,,,,, Workflow,GenerateFASTQ,,,,,,,, Application,FASTQ Only,,,,,,,, Assay,Nextera XT,,,,,,,, Description,,,,,,,,, Chemistry,Amplicon,,,,,,,, ,,,,,,,,, [Reads],,,,,,,,, 101,,,,,,,,, 101,,,,,,,,, ,,,,,,,,, [Settings],,,,,,,,, ReverseComplement,0,,,,,,,, ,,,,,,,,, [Data],,,,,,,,, Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,I5_Index_ID,index2,Sample_Project,Description mebv.0.6,,,,N702,CGTACTAG,S502,CTCTCTAT,, mebv.0.5,,,,N702,CGTACTAG,S503,TATCCTCT,, mebv.0.4,,,,N702,CGTACTAG,S504,AGAGTAGA,, mebv.0.3,,,,N702,CGTACTAG,S505,GTAAGGAG,, mebv.0.1,,,,N702,CGTACTAG,S508,CTAAGCCT,, mebv.4.6,,,,N703,AGGCAGAA,S502,CTCTCTAT,, mebv.4.5,,,,N703,AGGCAGAA,S503,TATCCTCT,, mebv.4.4,,,,N703,AGGCAGAA,S504,AGAGTAGA,, mebv.4.3,,,,N703,AGGCAGAA,S505,GTAAGGAG,, mebv.4.1,,,,N703,AGGCAGAA,S508,CTAAGCCT,, mebv.20.6,,,,N704,TCCTGAGC,S502,CTCTCTAT,, mebv.20.5,,,,N704,TCCTGAGC,S503,TATCCTCT,, mebv.20.4,,,,N704,TCCTGAGC,S504,AGAGTAGA,, mebv.20.3,,,,N704,TCCTGAGC,S505,GTAAGGAG,, mebv.20.1,,,,N704,TCCTGAGC,S508,CTAAGCCT,, mebv.48.6,,,,N705,GGACTCCT,S502,CTCTCTAT,, mebv.48.5,,,,N705,GGACTCCT,S503,TATCCTCT,, mebv.48.4,,,,N705,GGACTCCT,S504,AGAGTAGA,, mebv.48.3,,,,N705,GGACTCCT,S505,GTAAGGAG,, mebv.48.1,,,,N705,GGACTCCT,S508,CTAAGCCT,, ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-submit-1.csv ================================================ NIH5,CGTACTAG,TAGATCGC NIH6,AGGCAGAA,TAGATCGC NIH7,TCCTGAGC,TAGATCGC NIH8,TAGGCATG,TAGATCGC NIH9,GCTACGCT,TAGATCGC NIH10,CGAGGCTG,TAGATCGC NIH11,AAGAGGCA,TAGATCGC NIH12,GTAGAGGA,TAGATCGC NIH13,CGTACTAG,CTCTCTAT NIH14,AGGCAGAA,CTCTCTAT NIH15,TCCTGAGC,CTCTCTAT NIH16,TAGGCATG,CTCTCTAT NIH17,GCTACGCT,CTCTCTAT NIH18,CGAGGCTG,CTCTCTAT NIH19,AAGAGGCA,CTCTCTAT NIH20,GTAGAGGA,CTCTCTAT NIH21,CGTACTAG,TATCCTCT NIH22,AGGCAGAA,TATCCTCT NIH23,TCCTGAGC,TATCCTCT NIH24,TAGGCATG,TATCCTCT NIH25,GCTACGCT,TATCCTCT NIH26,CGAGGCTG,TATCCTCT NIH27,AAGAGGCA,TATCCTCT NIH28,GTAGAGGA,TATCCTCT ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-submit-2.csv ================================================ SampleName,Nextera i7,Nextera i5 G5735-2,TAGATCGC,TAAGGCGA G4380-1,CTCTCTAT,TAAGGCGA G4946-1,TATCCTCT,TAAGGCGA G4441-1,AGAGTAGA,TAAGGCGA G5361-1,GTAAGGAG,TAAGGCGA G5237-1,ACTGCATA,TAAGGCGA G4151-1,AAGGAGTA,TAAGGCGA G4264-1,CTAAGCCT,TAAGGCGA G5571-1,TAGATCGC,CGTACTAG G4382-1,CTCTCTAT,CGTACTAG G4956-1,TATCCTCT,CGTACTAG G4445-1,AGAGTAGA,CGTACTAG G5371-1,GTAAGGAG,CGTACTAG G4202-1,ACTGCATA,CGTACTAG G4217-1,AAGGAGTA,CGTACTAG G4220-2,CTAAGCCT,CGTACTAG G5520-1,TAGATCGC,AGGCAGAA G4406-1,CTCTCTAT,AGGCAGAA G4972-1,TATCCTCT,AGGCAGAA G4450-1,AGAGTAGA,AGGCAGAA G5370-1,GTAAGGAG,AGGCAGAA G4204-1,ACTGCATA,AGGCAGAA G4221-1,AAGGAGTA,AGGCAGAA G4255-1,CTAAGCCT,AGGCAGAA G4388-1,TAGATCGC,TCCTGAGC G4415-1,CTCTCTAT,TCCTGAGC G4973-1,TATCCTCT,TCCTGAGC G4453-1,AGAGTAGA,TCCTGAGC G5375-1,GTAAGGAG,TCCTGAGC G4028-1,ACTGCATA,TCCTGAGC G4235-1,AAGGAGTA,TCCTGAGC G4286-1,CTAAGCCT,TCCTGAGC G4389-1,TAGATCGC,GGACTCCT G4416-1,CTCTCTAT,GGACTCCT G5059-1,TATCCTCT,GGACTCCT G4454-1,AGAGTAGA,GGACTCCT G5304-1,GTAAGGAG,GGACTCCT G3911-5,ACTGCATA,GGACTCCT G4236-1,AAGGAGTA,GGACTCCT G4287-1,CTAAGCCT,GGACTCCT G4342-1,TAGATCGC,TAGGCATG G4419-1,CTCTCTAT,TAGGCATG G5064-1,TATCCTCT,TAGGCATG G5305-1,GTAAGGAG,TAGGCATG G3821-5,ACTGCATA,TAGGCATG G4238-1,AAGGAGTA,TAGGCATG G4288-1,CTAAGCCT,TAGGCATG G4345-1,TAGATCGC,CTCTCTAC G4422-1,CTCTCTAT,CTCTCTAC G4431-1,TATCCTCT,CTCTCTAC G4457-1,AGAGTAGA,CTCTCTAC G5244-1,GTAAGGAG,CTCTCTAC G3881-6,ACTGCATA,CTCTCTAC G4250-1,AAGGAGTA,CTCTCTAC G3997-2,CTAAGCCT,CTCTCTAC G4312-2,TAGATCGC,CAGAGAGG G4423-1,CTCTCTAT,CAGAGAGG G4433-1,TATCCTCT,CAGAGAGG G4458-1,AGAGTAGA,CAGAGAGG G5296-1,GTAAGGAG,CAGAGAGG G3811-2,ACTGCATA,CAGAGAGG G4251-1,AAGGAGTA,CAGAGAGG G4034-2,CTAAGCCT,CAGAGAGG G4346-1,TAGATCGC,GCTACGCT G4424-1,CTCTCTAT,GCTACGCT G4437-1,TATCCTCT,GCTACGCT G4368-2,AGAGTAGA,GCTACGCT G5295-1,GTAAGGAG,GCTACGCT G4121-2,ACTGCATA,GCTACGCT G4252-1,AAGGAGTA,GCTACGCT G3869-2,CTAAGCCT,GCTACGCT G4348-1,TAGATCGC,CGAGGCTG G4323-2,CTCTCTAT,CGAGGCTG G4438-1,TATCCTCT,CGAGGCTG G4465-1,AGAGTAGA,CGAGGCTG G5289-1,GTAAGGAG,CGAGGCTG G4209-1,ACTGCATA,CGAGGCTG G4253-1,AAGGAGTA,CGAGGCTG G4024-2,CTAAGCCT,CGAGGCTG G4350-1,TAGATCGC,AAGAGGCA G4527-2,CTCTCTAT,AAGAGGCA G4439-1,TATCCTCT,AAGAGGCA G4466-1,AGAGTAGA,AAGAGGCA G5242-1,GTAAGGAG,AAGAGGCA G4213-1,ACTGCATA,AAGAGGCA G4254-1,AAGGAGTA,AAGAGGCA G3991-3,CTAAGCCT,AAGAGGCA G4347-1,TAGATCGC,GTAGAGGA G4837-1,CTCTCTAT,GTAGAGGA G4440-1,TATCCTCT,GTAGAGGA G5364-1,AGAGTAGA,GTAGAGGA G5238-1,GTAAGGAG,GTAGAGGA G4216-1,ACTGCATA,GTAGAGGA G4263-1,AAGGAGTA,GTAGAGGA G3910-3,CTAAGCCT,GTAGAGGA G3682-1-c1,AGAGTAGA,TAGGCATG ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-submit-3.csv ================================================ SampleName,P7 Barcodes,P5 Barcodes NIH5,CGTACTAG,TAGATCGC NIH6,AGGCAGAA,TAGATCGC NIH7,TCCTGAGC,TAGATCGC NIH8,TAGGCATG,TAGATCGC NIH9,GCTACGCT,TAGATCGC NIH10,CGAGGCTG,TAGATCGC NIH11,AAGAGGCA,TAGATCGC NIH12,GTAGAGGA,TAGATCGC NIH13,CGTACTAG,CTCTCTAT NIH14,AGGCAGAA,CTCTCTAT NIH15,TCCTGAGC,CTCTCTAT NIH16,TAGGCATG,CTCTCTAT NIH17,GCTACGCT,CTCTCTAT NIH18,CGAGGCTG,CTCTCTAT NIH19,AAGAGGCA,CTCTCTAT NIH20,GTAGAGGA,CTCTCTAT NIH21,CGTACTAG,TATCCTCT NIH22,AGGCAGAA,TATCCTCT NIH23,TCCTGAGC,TATCCTCT NIH24,TAGGCATG,TATCCTCT NIH25,GCTACGCT,TATCCTCT NIH26,CGAGGCTG,TATCCTCT NIH27,AAGAGGCA,TATCCTCT NIH28,GTAGAGGA,TATCCTCT ================================================ FILE: tests/input/TestSampleSheet/SampleSheet-with-blanklines.csv ================================================ [Header],,,,,,,,, IEMFileVersion,4,,,,,,,, Investigator Name,Anne,,,,,,,, Experiment Name,AP081616,,,,,,,, Date,8/16/16,,,,,,,, Workflow,GenerateFASTQ,,,,,,,, Application,FASTQ Only,,,,,,,, Assay,Nextera XT,,,,,,,, Description,CSF,,,,,,,, Chemistry,Amplicon,,,,,,,, ,,,,,,,,, [Reads],,,,,,,,, 101,,,,,,,,, 101,,,,,,,,, ,,,,,,,,, [Settings],,,,,,,,, ReverseComplement,0,,,,,,,, Adapter,CTGTCTCTTATACACATCT,,,,,,,, ,,,,,,,,, [Data],,,,,,,,, Sample_ID,Sample_Name,Sample_Plate,Sample_Well,I7_Index_ID,index,I5_Index_ID,index2,Sample_Project,Description BWH001lib1,,,,N703,AGGCAGAA,S517,GCGTAAGA,, BWH001lib2,,,,N705,GGACTCCT,S517,GCGTAAGA,, NEGCSF3lib2,,,,N706,TAGGCATG,S502,CTCTCTAT,, NS_guide2_2,,,,172,CCTACCAT,417,CGGTTCTT,, C044_rs9283753,,,,44,CTGCGGAT,34,TCTTTCCC,, C045_rs9283753,,,,45,TCGGAATG,34,TCTTTCCC,, C066_rs9283753,,,,46,TCTGCAAG,34,TCTTTCCC,, C067_rs9283753,,,,47,AACTTGAC,34,TCTTTCCC,, C081_rs9283753,,,,66,TTGAGCCT,34,TCTTTCCC,, C082_rs9283753,,,,67,GGTCCAGA,34,TCTTTCCC,, NA12872_rs9283753,,,,68,CCAGTTAG,34,TCTTTCCC,, NA12812_rs9283753,,,,69,CAATAGTC,34,TCTTTCCC,, ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_DQ473496.1_Rhinovirus_A49.fa ================================================ >RVA_DQ473496.1_Rhinovirus_A49 (7106 bp) TTAAAACTGGATCCAGGTTGTTCCCACCTGGATCTCCCAAAGGGAGTGGAACTCTGTTATTACGGTAACTTTGTACGCCA GTTTTATCCTCCCCCACCCCATGTAACTTAGAAGCTTTTCACAAAGACCAATAGTTGGTAATCATCCAGATTACTTAAGG TCAAGCACTTCTGTTTCCCCGGTCAACGTTGATATGCTCTAACAGGGCAAAAACAACTGCGATCGTTATCCGCAAAGCGC CTACGCAAAGCCTAGTAACACCTTTGAAATTGTTTGGTTGGTCGTTCCGCCATTTTCCCTGGTAGACCTGGCAGATGAGG CTAGAAACACCCCACTGGCGACAGTGTTCTAGCCTGCGTGGCTGCCTGCACACCCTGTGGGTGTGAAGCCAAATAATGGA CAAGGTGTGAAGAGCCCCGTGTGCTCGCTTTGAGTCCTCCGGCCCCTGAATGCGGCTAACCTTAACCCTGCAGCTAGAGC ACACAAGCCAGTGTGTATCTAGTCGTAATGAGTAATTGCGGGACGGGACCGACTACTTTGGGTGTCCGTGTTTCACTTTT TACTTATAATTGCTTATGGTGACAATATATATATAGTATATATATTGACACCATGGGCGCACAGGTATCTAGGCAAAATG TTGGAACTCATTCTACACAAAACTCCGTATCAAATGGATCTAGTTTGAACTATTTCAACATCAACTACTTTAAAGATGCT GCTTCTAATGGCGCATCCAAATTGGAGTTTACTCAAGACCCTAGCAAATTTACAGACCCTGTTAAAGATGTATTAGAGAA AGGAATACCAACACTACAATCACCCACAGTCGAGGCTTGTGGATATTCGGATAGAATCATACAAATCACTAGAGGAGATT CAACAATAACTTCACAAGATGTGGCAAATGCTGTTGTTGCATATGGTGTTTGGCCACATTATCTATCCTCCAAAGATGCT TCTGCAATTGACAAACCTTCTCGTCCGGATACATCTTCTAATAGATTTTATACTTTGAAGAGTGTGACTTGGACCAACTC TTCAAAAGGTTGGTGGTGGAAATTGCCAGATGCACTGAGAGAAATGGGCATCTTTGGTGAAAACATGTTTTATCACTATT TGGGCAGGAGTGGTTACACAATACATGTACAGTGCAATGCTAGCAAATTCCATCAAGGCACGTTAATCGTTGCACTAATA CCTGAACACCAAATTGCAAGCGCCCTTCATGGTGATGTGAATGTTGGTTATAACTTTACCCATCCAGGAGAAACGGGAAG GGAGGTCAAAAGTGACAGGAGCATGAACCTTAATTTGCAACCCACTGAAGAGTATTGGCTTAATTTTGATGGAACACTAC TCGGAAATATTACTATATTTCCCCATCAATTTATTAACTTGAGAAGCAACAACTCTGCTACAATAATTGCTCCATATGTC AATGCAGTCCCTATGGACTCAATGCGCAGCCACAACAACTGGAGTCTGGTGATAATCCCAATATGCCCTCTTGAAACATC AAGTACCGTTAACACAATACCTATCACAATATCAATAAGTCCCATGTGTGCAGAGTTCTCTGGTGCGCGTGCTAAGAGTC AGGGTTTACCGGTTTTCATCACGCCAGGGTCAGGCCAGTTTCTGACAACAGATGACTTTCAATCCCCATGTGCACTCCCT TGGTATCACCCAACCAAAGAAATCTCTATTCCAGGTGAGGTAAAAAATTTAGTTGAAATATGTCAAGTAGATAGTTTAGT GCCAATAAATAATACTGAAAATAACATCACTAATGAAAACATGTATTCGGTTGTGCTGCAATCAACAGTTGGAGAACCAG ATAAAATCTTTTCTATCAAAACAGATGTAGCCTCTCAGCCATTAGCTACTACTCTAATTGGTGAAATATCCAGTTATTAT ACTCACTGGACAGGAAGTCTCCGCTTCAGCTTCATGTTCTGTGGCACAGCCAATACCACTGTTAAACTCTTGTTAGCCTA TACGCCACCTGGCATCGCAGAACCTACTACAAGAAAGGAAGCAATGTTAGGTACTCATGTAATATGGGATGTAGGTCTTC AATCTACAATATCAATGGTGGTACCATGGATCAGTGCTAGTCACTACAGGAACACATCACCAGGTACATCTACATCTGGA TACATAACATGCTGGTATCAAACTAGGCTAGTAATTCCACCTCAAACTCCAGCCACAGCTAGGTTATTATGTTTTGTATC AGGCTGTAAAGATTTTTGTTTACGCATGGCTCGGGACACTAATTTGCATTTGCAGAGTGGGGTAATAGAACAAAATCCTG TTGAACACTACATAGATGAGGTCCTTAATGAGGTTTTAGTTGTTCCAAATATTAATAGTAGTCACCCCACGACATCAAAC TCTGCTCCAGCATTAGATGCTGCAGAAACAGGGCACACTAGCAATGTGCAACCTGAAGATGTCATTGAAACCAGATATGT ACAGACATCACAAACAAGAGATGAAATGAGTTTAGAGAGTTTTCTTGGTAGGTCAGGGTGTATACATGAATCCAAACTAG AGGTCACACTTACAAATTACAATGAAAATAATTTCAAAGTATGGAACATCAATTTGCAAGAAATGGCCCAGATCAGAAGA AAATTTGAACTGTTTACTTACACTAGATTCGATTCTGAAATAACCTTGGTTCCATGCATTTCTGCACTTAGCAAGGATAT TGGACACATTACAATGCAATACATGTATGTGCCGCCAGGTGCACCTGTACCAAAGAGCAGAGATGATTATGCATGGCAGT CTGGCACTAATGCATCTGTTTTCTGGCAACATGGGCAAGCATACCCAAGATTTTCTCTACCCTTTTTGAGTGTAGCTTCA GCTTACTACATGTTTTATGATGGATATAATGAACAGGGCCAAAATTATGGTACGGTAAGTACAAACAACATGGGATCATT ATGCTCTAGGATAGTAACAGAGAAACACATTCACAGTATGCATATCATGACAAGAATCTATCATAAAGCTAAACACGTCA AAGCATGGTGTCCGCGCCCACCCAGAGCACTTGAATATACTCGCGCTCACCGTACTAATTTCAAAGTTGAAGACAGAGAC ATTAAAACAGGAATCACATCCAGAGCAATTATTACAACAGCTGGTCCTAGTGATATGTATGTTCATGTTGGTAATCTTAT CTATAGAAATTTACATCTCTTCAATTCTGAAATGCATGAATCTATACTGGTATCTTATTCATCAGATTTAATCATTTACC GAACAAACACCATAGGTGATGATTATATCCCCTCTTGTGATTGCACCCAGGCTACATATTACTGTAAACATAAAAATAGA TATTTCCCAATCACAGTGACAAGCCATGACTGGTATGAAATACAGGAAAGTGAATACTACCCCAAGCATATACAATACAA TTTACTAATTGGTGAGGGCCCTTGTGAACCAGGTGATTGTGGTGGGAAATTGTTATGTAAACATGGTGTTATTGGTATAG TAACAGCTGGTGGTGATAATCATGTGGCTTTTATTGATCTTAGACACTTTCACTGTGCTGAGGAGCAAGGAATTACAGAT TACATACACATGTTAGGTGAAGCATTTGGAAATGGATTTGTAGATAGTGTAAAAGAACATATACATGCCATTAATCCAGT AGGAAATGTTAGTAAAAAGATCATCAAATGGATGCTGAGGATAATATCAGCAATGGTTATAATAATAAGGAATTCCTCTG ATCCACAAACTATATTGGCAACACTCACGCTAATTGGATGTTCTGGTTCACCATGGAGATTTTTAAAGGAGAAATTTTGC AAATGGACACAACTCAATTATATACATAAAGAATCAGACTCATGGTTGAAAAAATTTACTGAAGCATGCAATGCAGCCAG AGGACTTGAGTGGATAGGGAATAAAATATCTAAATTCATTGAATGGATGAAATCAATGCTCCCACAAGCACAACTTAAGG TCAAGTACTTAAATGAACTCAAAAAATTGAGCTTGTATGAAAAACAAGTTGAAAGTCTTAGAGTAGCAGATGTAAGAACA CAAGAAAAGATTAAAATGGAAATTGATACCCTACATGACTTATCATGCAAATTTTTACCATTGTATGCAGGTGAAGCAAA AAGGATAAAGACGTTACATATTAAGTGTGATAACATTATCAAACAAAAGAAAAGGTGTGAACCAGTGGCTATAGTTATCC ACGGGCCACCTGGTGCTGGAAAATCAATAACAACAAATTTTTTAGCTAGGATGATAACTAATGATAGTGATATATACTCT TTACCCCCAGATCCAAAATATTTTGATGGCTACGATCAACAAAGTGTGGTGATAATGGATGATATCATGCAAAATCCAGC TGGGGATGACATGACTCTATTCTGTCAAATGGTTTCCAGTGTCACGTTCATACCACCAATGGCTGATTTACCAGATAAGG GCAAGGCCTTTGACTCTAGGTTTGTATTATGCAGCACAAATCACTCTCTTTTAGCACCGCCTACAATAACCTCACTGCCT GCTATGAACAGAAGATTCTTTTTAGACTTAGACATAATAGTACATGATAATTTCAAGGATTCACAGGGTAAACTTAATGT AGCAGCAGCCTTCCAACCATGTAATGTGGACAATAAAATTGGGAATGCTCGTTGTTGCCCATTTGTGTGTGGAAAGGCTT TTTCTTTCAAAGATCGCAATTCTTGCAATAAATACACCCTAGCACAAGTGTACAACATAATGCTTGAAGAAGACAAACGG AGGAGACAAGTGGTTGACGTCATGTCGGCCATATTCCAAGGACCAATTGACATGAAAAACCCACCACCACCTGCAATTAC TGATTTACTCCAGTCAGTTAGGACTCCTGAGGTTATCAAGTATTGTGAAGTTAATAGATGGATAATTCCAGCAGAATGTA AAATAGAGAAGGAATTAAATTTAGCCAATACAATCATAACAATCATTGCCAATGTTATTAGTATAGCAGGTATTATATAC GTCATCTACAAACTCTTCTGTACACTACAAGGACCATATTCAGGGGAACCTAAACCTAAAACTAAAGTCCCAGAAAGACG TGTTGTGGCACAGGGGCCAGAGGAAGAATTTGGAATGTCTTTGATTAAGCACAACTCATGTGTGATTACAACAGAGAATG GAAAGTTTACAGGCCTTGGGATATATGACAAGTTTGTGGTTGTACCAACACATGCAGATCCTGGGAAAGAAATTCAGGTT GACGGCATAACTACAAAAGTTGCTGACTCATATGATTTATATAATAAAGATGGAATAAAGTTAGAAATAACAGTCTTAAA ATTAGATAGGAATGAAAAGTTCAGAGACATTAGAAAATACATACCAAATAATGAGGATGACTACCCTGACTGCAACTTAG CCTTGTTAGCAAATCAACCTGAACCCACTATAATCAATGTTGGAGATGTTATATCCTATGGCAACATACTGCTTAGTGGT AACCAGACAGCTAGAATGCTCAAATACAGCTATCCAACTAAATCTGGGTACTGTGGGGGTGTTTTGTATAAAATTGGGCA AGTGCTTGGAATACACGTAGGAGGAAATGGTAGAGATGGATTTTCAGCTATGTTGCTTAGATCTTACTTTACTGATGTGC AAGGCCAAATAATCTCATCAAAGAAAACTAGTGAATGTAATCTTCCCAGTATACATAATCCATCCAAAACAAAATTGCAG CCCAGTGTCTTCTATGATGTTTTCCCTGGTTCAAAAGAACCAGCTGTGTTGTCTGAGAAAGATACACGGCTTCAGGTTGA CTTTAATGAAGCATTATTTTCTAAATACAAAGGAAACACAAACTGCTTTATGAATGATCACATAAGGATTGCATCTTCAC ACTATGCAGCTCAATTAATCACTTTAGATATTGACCCAAGTCCTATCACCCTTGAAGATAGTGTTTTTGGTACTGATGGA TTAGAGGCTCTTGACCTAAATACTAGTGCAGGATTTCCTTACATTACAATGGGGATAAAGAAGAGAGATTTAATAAATAA CAAAACCAAAGACATAAGTAAACTTAGGGAAGCAATTGACAAGTATGGAGTTGACTTGCCTATGGTTACTTTCTTAAAAG ATGAACTTAGAAAACATGAGAAGATAATCAAAGGCAAAACTAGAGTTATTGAAGCTAGTAGTGTGAATGATACTTTGCTG TTCAGAACAACTTTTGGGAATCTTTTTTCAAAATTTCATCTAAATCCTGGAATTATCACTGGATCAGCAGTCGGGTGTGA CCCAGAAACTTTCTGGTCAAAGATACCAGCAATGTTAGATGATAAGTGTATTATGGCTTTTGATTATACAAATTATGATG GTAGTATACACCCTATTTGGTTTGAAGCCCTTAAACAAGTATTGATGGATTTATCCTTTGATCCAATGTTAATAGATAGA TTATGCAAATCCAAACACATCTTTAGAAACACATACTATGAGGTTGAAGGAGGTGTTCCATCTGGATGTTCAGGTACTAG TATTTTCAACACTATGATTAATAATATTATTATAAGGACCTTAGTGTTAGATGCATATAAAAATATAGATTTAGACAAAC TTAAGATAATTGCCTATGGTGATGATGTTATATTTTCATACACACATGAATTGGACATGGAAGCTATAGCAATAGAGGGT ATTAAATATGGTCTAACCATAACCCCTGCTGACAAATCTACCACTTTTGTAAAGTTAAATTACAATAATGTCACCTTTTT GAAAAGAGGATTCAAACAAGATGAGAAATACAACTTCTTGATACACCCCACCTTTCCTGAGAGTGAAATATTTGAATCTA TCAGGTGGACAAAGAAACCTTCACAGATGCACGAGCACGTACTATCTCTGTGTCGCTTAATGTGGCACAATGGGCGTGAT GCGTATGAAAAGTTTGTGGAGAAGATACGCAGTGTGAGCGCTGGTCGCGCACTGTACATCCCTCCATATAACTTGCTTTT GCATGAGTGGTATGAAAAATTTTAAACTGATATAGAAATATTAAACTGTTAGTTTATTAGTTTTAC ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_DQ473498.1_Rhinovirus_A10.fa ================================================ >RVA_DQ473498.1_Rhinovirus_A10 (7137 bp) TTAAAACTGGATCCAGATTGTTCCCATCTGGATTTCCCACGTGGAGTTGTACACTATTATTCCGGTAATTTTGTACGCCA GTTTTATGTACCCCCCCCTGTAACTTAGAAGTTTTGAACAAGGACCAATAGGCAGTAACCACCCAGGTTGCTAAAGGTCA AGCACTTCTGTTTCCCCGGTCAAAGTTGATATGCTCCAACAGGGCAAAAACAACTGAGATCGTTACCCGCAAGGTGCCTA CGCAAAGCCTAGTAACCCCTTGAACGATGTGTGGTTGGTCGTTCGGCTGTACCCCACAGTAGACCTGGCAGATGAGGCTA GATGTTCCCCACTGGCGACAGTGTTCTAGCCTGCGTGGCTGCCTGCGCACTCTCTGAGTGCGAAGCCATACATTTGACAA GGTGTGAAGAGCCCCGTGTGCTCACCTTGAGTCCTCCGGCCCCTGAATGTGGCTAACCTTAACCCTGCAGCTAGTACATG CAATCCAGCATGCAGCTAGTCGTAACGAGCAATTGCGGGACGGGACCAACTACTTTGGGTGTCCGTGTTTCACTTTTTCC TTTTATATTTGCTTATGGTGACAATATATAGATTTATATATTGTCACCATGGGCGCTCAAGTATCCAGACAGAATGTTGG TACTCACTCAACACAAAATGCAGTTTCAAATGGATCTAGTTTAAATTATTTTAACATCAACTATTTCAAAGATGCAGCAT CTAGCGGTGCTTCCAAATTGGAATTTTCACAAGACCCTAGTAAATTTACAGACCCTGTTAAAGATGTCCTTGAGAAAGGA ATTCCAACATTACAATCTCCAACTGTAGAAGCATGTGGTTACTCAGACAGAATCATTCAGATCACCAGAGGTGATTCAAC AATAACTTCACAAGATGTTGCCAATGCAGTGGTGGGTTATGGCGTGTGGCCTCACTATTTAAGTGCAACGGATGCCACTG CTATTGACAAACCTACTCAGCCTGACACTTCTTCAAATAGATTTTACACTCTTGAAAGCAAAGTTTGGACGAGCACATCT CAGGGTTGGTGGTGGAAGTTACCAGATGCACTTAAGGACATGGGTATTTTTGGAGAAAATATGTTTTATCACTATCTTGG CAGGAGTGGATACACAGTACATGTCCAATGCAATGCTAGCAAATTTCATCAGGGGACCTTACTAGTAGTCATGATACCAG AACATCAATTGGCAAGTGCACATACTGGTAATGTAACAGCTGGTTATAATTTCACTCATCCAGGAGAAAAGGGTAGGACT GTTGGAGATCGTCGTGACCACCATGACAAACAACCTAGTGATGACAATTGGTTGAATTTTGATGGTACTTCACTGGGTAA TGCACTAATATTTCCCCATCAATTTATTAATTTGAGGAGTAATAATTCAGCAACTATAATAGTACCTTATGTCAATGCAG TCCCAATGGATTCAATGCTTAGGCACAATAATTGGAGTTTAGTAATAATTCCTATTAGTCCTTTAAAGTCAGACCCTAGT GCTAGTGCTTTAGTTCCTATAACTATTTCTATCAGTCCAATGTTTGCTGAATTTTCTGGGGCACGTGCTAAAACTGCCGC AGCCAATCAAGGACTACCAGTGTATGTTACACCTGGTTCTGGTCAATTTATGACAACTGATGATCTGCAATCACCATCCG CATTACCGTGGTATCATCCAACCAAAGAAATCCTAATACCAGGAGAGGTCAAAAATCTAATAGAAATGTGCCAGGTAGAT TCACTGATTCCAATCAACAATACCACTGCAAATTTAAGGAAAGTAAATATGTATACAATACAATTGGCAAACCAAACTAA TATGGCTGAAGAAATCTTTGCAATTAAGGTGGACATTGCATCACAACCTCTTTCAAATACTATAATTGGAGAAATTGCTA GTTACTTCACACATTGGACTGGAAGCCTGCGGTTCAGTTTTATGTTCTGTGGCACTGCAAATACTACCCTTAAATTGTTA TTAGCATATACACCACCAGGCATAAAGAAACCAACAAACAGGAAGCAGGCAATGCTTGGTACACACATTGTTTGGGATAT TGGGTTACAATCAACCGTATCTCTGGTTGTTCCATGGGTCAGTGCTAGCCATTTCAGGTACACCACTCCAGATACATATT CAGCAGCTGGATACATAACATGCTGGTATCAAACCAACTTTGTGTTCCCACCAAACACACCGAGCACTGCAGATATGTTG TGTTTTGTGTCAGCATGTAAAGACTTTTGCCTGCGTATGGCTAGAGATACAAATATGCACATACAAAGTGATGCCATTAC ACAAAATCCAGTTGAAAATTACATTGATAATGTACTTAATGAAGTCCTAGTGGTACCCAACATCAGAGAAAGTCATCCAA GCACCTCTAACTCTGCCCCAATTCTCGATGCAGCTGAGACTGGTCATACCAGTAGTGTACAACCAGAAGATACGGTTGAA ACACGATATGTGCAAACATCCCAGACGAGAGATGAAATGAGTATTGAAAGTTTTCTTGGCAGGTCAGGTTGTATACACAC CTCAACAATAACTGTTAATAATACAAGACCCTACAATGAACACACTTTTGACACATGGCAAATAACTCTACAAGAAATGG CCCAAATTAGAAGGAAATTTGAAATGTTTACATATGTTAGATTTGACTCAGAAGTCACTTTAGTACCTTGCATCGCAGGC AAGGGCGATGACATAGGTCACATAGTTATGCAATATATGTATGTGCCACCTGGGGCTCCAGTACCAACTAAGAGAGATGA TTTTGCTTGGCAGTCGGGAACAAATGCATCAGTCTTCTGGCAACATGGACAACCTTTCCCTAGATTTTCTTTACCCTTCT TAAGCATTGCATCTGCTTACTACATGTTCTATGATGGTTATGATGGTGATACACATGACTCACGTTATGGCACAACAGTG ATAAATCACATGGGCACTTTGTGCATGCGAATAGTCACAAACCAGCAAGCACATGAGGTGGAAATTACCACCAGTGTTTA TCACAAAGCCAAGCATGTCAAAGCATGGTGTCCAAGACCACCCAGAGCTGTACCATATACACATGCCCATTCCACAAATT ACAAACCACATGGCAAAGAATTACAAATATTTATTAGGTCTAGAGATGATCCCAAAGTAGTAACTGCTGGACCAAGTGAT ATGTATGTCCATGTTGGTAATTTAATTTATAGAAACTTACACCTTTTCAATTCAGAAATGCATGATTCAATTCTAGTATC ATACTCTTCAGATTTAGTCATTTACCGAACAAACACTATAGGTAATGACTACATCCCCACTTGTGATTGCACTGATGCCA CTTATTATTGTAAACATAAAGACAGGTACTACCCCATCAAAGTTACTAGTCACGACTGGTATGAGATTCAGGAAAGTGAA TATTACCCCAAGCATATTCAATACAATCTCTTAATTGGAGAGGGACCATGTGAGCCTGGTGACTGTGGAGGAAAGTTACT CTGTAAACATGGAGTAATTGGAATAATTACTGCTGGTGGAGAGGGGCATGTGGCATTTATAGATCTCAGGCAATTTCATT GTGCGGATGAACAAGGAATAACTGACTACATCCACATGTTGGGTGAAGCTTTTGGAACAGGTTTTGTGGACAGTGTCAAA GAGCAAATAAATGCCATAAACCCAATAAATAACATAAGTAAGAAAATAATAAAATGGCTTCTTAGAATTATATCTGCAAT GGTAATAATTATTAGAAATTCATCTGATCCACAGACAATTATAGCAACTTTAACTCTAATTGGATGTTCAGGCTCACCAT GGAGATTTCTTAAGGAAAAGTTTTGTAAATGGACCCAACTTACTTATATTCATAAAGAATCTGACTCATGGCTCAAAAAA TTCACGGAAATGTGTAATGCAGCTAGAGGTTTGGAGTGGATCGGGAATAAAATATCTAAATTTATTGAGTGGATGAAGTC CATGTTACCCCAAGCTCAGCTTAAAGTTAAGTATCTGAGTGAACTTAAAAAACTAAGCTTCCTGGAGAAACAAATGGAAC ACCTCAGAGTTGCTGATTCAAAAACCCAAGAGAAGATTAAACATGAGGTGGATACTCTTCATGACCTTTCATGTAAATTT CTACCACTCTATGCTAGTGAGGCTAAAAGAATTAAGATTTTACACAATAAGTGTAATACAATCATCAAGCAAAGGAAAAG ATGTGAGCCAGTAGCAGTTGTGATACATGGTGAACCCGGGACTGGTAAATCAATGACCACAAACTTTCTAGCTAGGATGA TAACAAGTGAGAGTGATATCTATTCTCTACCACCTGATCCCAAATACTTTGATGGATATGATCAACAGAGTGTAGTTATT ATGGATGATGTGATGCAGAACCCAAGTGGAGAAGACATGACCTTGTTTTGCCAAATGGTATCAAGTGTTACATTCATACC ACCCATGGCAGATCTGCCAGATAAGGGTAAGCCATTTGATTCTAGATTTGTGTTATGTAGTACCAATCATAATCTATTAG CACCTCCAACAATAACATCTTTACCAGCCATGAATAGGAGATTTTTCTTTGATCTAGATATCATAGTGTGTGAAAAGTAC AAAGACCCACAAGGCAAATTAAATGTGACTGCTGCTTTCCGACCATGTGATGTGGATGCAAAAATTGGCAATGCACGCTG TTGTCCATTCATTTGTGGCAAAGCAGTGATGTTCAGAGACCGCAATACATGCCAAACTTACACACTAGCACAAGTGTACA ATCGAATACTTGATGAAGATAAGCGGCGTAGACAGGTGATCGATGTCATGGCCGCAATTTTTCAGGGACCCATCACTCTT GAGGGACCACCACCAGCTGCAATCAGCGACTTATTGCAGTCAGTCAGAACTCCTGAAGTAATTAAATACTGTGAAGGTAA CAAATGGATCATACCAGCGGAATGTAAGGTTGAGAGGGATCTTAATATAGCAAACACCATCATCACAATTATTGCCAATA TCATTAGTATTTCTGGAATTATTTATGTTATCTACAAGCTATTCTGTACATTGCAGGGACCATATTCAGGGGAACCTAAA CCAAAAACCAAGATACCAGAAAGAAGAGTGGTGGCTCAGGGTCCAGAAGAGGAGTTTGGAAGATCACTCATTAAGCACAA CTCATGTATTGTGACAACACAAAATGGTAAATTTACAGGCTTAGGAATTTATGACAGAATGTTAATTTTACCAACACATG CAGACCCTGGCCGTGAAGTGCAAATAGATGGTATTACAACCAAGGTGGAAGATTCTTTTGACCTGTACAACAAGGATGGG GTTAAACTAGAGATTACTGTGCTTAAACTAAAGAGAAATGAAAAATTCAAAGATATTAGGAAATACATACCTGAAAATGA AGATGACTATCCAGATTGTAATCTAGCTCTTTCTGCTAATCAACCAGAAACTACTATAATCAATGTAGGGGATGTGGTAT CCTATGGAAATATTCTCCTTAGTGGCACTCAAACAGCTAGAATGCTCAAATATAATTACCCAACAAAATCAGGTTATTGT GGTGGTATCTTGTATAAAATTGGACAAGTCTTAGGAATCCATGTTGGAGGTAATGGGAGGGATGGATTCGCTGCCATGCT ATTGAGATCTTACTTTTCTGAAACACAGGGTGAAATAATAATTTCAAAATCCACAAGCGAATGTGGGTTACCCAGTATCC ACACACCAAGCAAAACCAAACTTCAGCCTAGTGTATTCTTTGATGTATTTCCAGGTACTAAAGAACCAGCTGTCCTCTCA AGTAACGATCCTAGATTAGAGGTTGATTTTAATAAAGCTTTGTTTTCTAAGTATAAAGGAAATAATGAGTGTGTTATAAA TGATCATGTTAAAGTAGCTGTCTCTCACTACTCAGCCCAACTCATGACCTTAGATATTAATCCAGAGCCTATCTCACTTG AGGACAGTGTCTTTGGAACAGAAGGCTTGGAAGCTCTTGATCTTAACACTAGTGCAGGATTTCCATACGTGTCGATGGGC ATTAAAAAGAAAGATCTAATTAACAAGCAAACAAAGGATGTGACTAAACTTAAAATGGCCCTAGACAAGTATGGTGTTGA CTTACCAATGGTTACCTTTCTTAAAGATGAGCTTAGGAAAAGAGAGAAAATCACCGCCGGAAAGACCCGCGTGATTGAAG CTAGTAGTGTGAATGACACTGTACTGTTCAGAACAACTTTTGGTAATCTCTTCTCAAAATTTCACTTAAATCCAGGCATT GTCACAGGTTCTGCTGTAGGCTGTGATCCTGAAACATTCTGGTCAAAAATACCTGTTATGCTAGATGGAGAATGTATAAT GGCATTTGATTACACAAATTATGATGGAAGTATACATCCTATGTGGTTTCAAGCTCTTAAAGAAGTTTTGTCTAATTTAT CTTTTGAGGCTAGTTTAATAGATAGACTGTGCAAATCCAAGCACATCTTCAAGAATATGTATTATGAAGTGGAAGGTGGA GTTCCATCAGGTTGTTCTGGAACCAGTATATTTAATACAATGATAAATAATATCATTATCAGAACATTAGTGCTAGATGC TTATAAGAATATTGACTTGGATAAACTTAAAATTATAGCTTATGGAGATGATGTAATTTTTTCTTACAAATATCAACTTG ACATGGAAGCAATTGCCAAGGAGGGTACCAAGTATGGATTAACAATAACACCAGCTGACAAATCTGATACTTTCAAACAA CTTAATTATGGCAATGTTACATTCCTGAAAAGAGGATTTAAACAAGATGAGAAATATCAGTTTTTGATACACCCAACATT TCCAGTTGAAGAAATTCAAGAGTCTATTCGATGGACAAAGAAACCATCCCAAATGCAGGAACATGTCCTGTCGTTGTGTC ATTTAATGTGGCATAATGGCAGGAGTGTTTACAAGCAGTTTGAGGAGCGGATACGCAGTGTTAGCGCTGGTCGTGCACTG TACATTCCTCCTTACGATTTGCTGCTGCATGAGTGGTATGAAAAGTTTTAAATTGTTTAGATATAAAAATATTAAACAAT TAGTTTTTTAGTTTTAT ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_DQ473499.1_Human_rhinovirus_A44.fa ================================================ >RVA_DQ473499.1_Human_rhinovirus_A44 (7123 bp) TTAAAACTGGGTCCAGGTTGTTCCCACCTGGATCTCCTACATGGAGTTGTACTCTATTATCCCGGTAATCTTGTACGCCA GTTTTATATCCCTTCCCTTTTTGTAACTTAGAAGTTAAACACACAGACCAATAGGTGGTGGCTATCCAAGTCATTAATGG TCAAGCACTTCTGTTTCCCCGGTTTAGATTGATACGCTCCACCAGGGCGAAAACAATTTAAATCGTTATCCGCAAAATGA CTACGCAAAGCCTAGTAATATCTTGAAGGACTTATGGTTGGTCGCTCCACTAAACCCCATAGTAGACCTGGCAGATGAGG CTAGAAATACCCCACTGGAGACAGTGTTCTAGCCTGCGTGGCTGCCTGCACACCCTATGGGTGTGAAGCCATACTTTCGA CAAGGTGTGAAGAGCCCCGTGTGCTCATTTTGAGTCCTCCGGCCCCTGAATGTGGCTAACCTTAACCCTGCAGCTAGTGC ATGCAATCCAGCATGTTGCTAGTCGTAACGAGCAATTGCGGGATGGGACCAACTACTTTGGGTGTCCGTGTTTCACTTTT TCCTTTTATTTGCTTATGGTGACAATATATATAGTACATATATATTGGCATCATGGGCGCTCAAGTATCCAGACAGAACG TTGGAACTCATTCCACCCAAAATTCAGTTTCAAATGGATCGAGTTTGAATTATTTTAATATAAATTACTTTAAGGATGCT GCATCAAGTGGAGCTTCAAAACTTGAATTTTCTCAAGATCCTAGCAAATTCACTGATCCAGTGAAAGATGTTTTAGAAAA AGGTATTCCAACACTACAATCTCCTACAGTAGAGGCATGTGGCTATTCAGATAGGATAATGCAAATTACAAGAGGTGACT CCACAATAACATCACAAGATGTGGCCAATGCAGTTATAGGTTATGGGGTCTGGCCACACTATCTGAGTGCTGAGGATGCT ACTGCTATTGACAAACCTACCCAGCCAGACACCTCGTCAAATAGATTTTATACCTTAGAGAGTAAGACATGGGATAGGCA ATCTAAAGGATGGTGGTGGAAATTGCCAGATGCACTTAAAGACATGGGCATATTTGGAGAAAACATGTATTACCATTACC TTGGCAGAAGTGGTTATACAGTACATGTCCAATGCAATGCTAGTAAGTTTCATCAAGGGACATTATTGGTAGTGATGATA CTTGAACACCAACTAGCAAGTGTAGGTACTGAGAAGGTCGGGCCTGGATATAATTTCACACATCCTGGTGAGGCAGGTAG ACAGATTGGCAATGTGAGTGATCGGACTTCAAAGCATCCAAGTGATGACAATTGGCTTAACTTTGATGGCACCTTACTGG GTAATGTTCTTATATTCCCACACCAATTTATCAATTTAAGGAGCAATAACTCTGCAACAATAATAGTTCCTTATGTAAAT GCTGTTCCAATGGACTCAATGTTAAGACATAACAATTGGAGTTTAGTGATAATCCCAATCAGTGAATTACAAACAGAGAA TGCCACTAATCTCACGGTCCCTATCACTGTATCAATTAGCCCAATGTTTGCTGAATTTTCTGGAGCACGTGCAAGGCCAG CAAGAGCTGCTGCACAGGGATTACCTATATATATGACACCGGGTTCAGGCCAGTTCATGACAACTGACGATTTCCAATCA CCTTCAGCTTTACCGTGGTATCACCCAACAAAAGAAATTTTAATTCCAGGAGAAGTAAAAAATTTAATGGAAATATGCCA AGTTGACACATTAATCCCTATCAACAATGTGAATAATAATTTAAGAAAGGTAAATCTTTACACTGTACAATTAACTAGCC AAACAACACCAGCTCAGCAGGTTTTTGCCATTAAAGTAGATATTGCTTCACAACCTTTAGCAAATACTATGCTTGGACAA ATTGCCAGTTACTTCACACACTGGACTGGAAGCTTGCGATTTAGCTTTATGTTCTGTGGGACAGCAAACACCACTCTCAA GCTACTTATAGCATATACACCACCTGGTATTGGGAAGCCAGAGAACAGAAAACAGGCGATGCTTGGTACACATATAGTTT GGGATGTTGGGTTGCAATCAACAGTATCTTTAGTTGTCCCGTGGGTTAGTGCTAGTCACTTTAGATACACCTCTAGCGAT GAACGTTCAGCAGCTGGATACATAACATGTTGGTATCAGACACAACTTGTCTTCCCTCCAAACACTCCAAATACAGCTGA TATGTTATGTTTTGTATCAGCTTGTAAGGATTTTTGCTTACGTATGGCTAGAGACACAGACATGCACACTCACAATGAAA TTATCACACAGAACCCAGTTGAAAATTATGTGGATGAAGTACTTAATGAAGTCTTAGTTGTGCCTAATATCAGAGAGAGC CACCCAAGCACATCTAACTCTGCTCCAATTTTGGATGCTGCTGAAACTGGACATACTAGTAATGTACAACCAGAAGATAC CATTGAGACTCGATATGTACAAACCTCACAAACTAGAGATGAAATGAGCATTGAAAGTTTTCTTGGCAGATCAGGGTGTA TACATGTTTCAACAATAAAGACAAATCAGGCACACAATACCAAGTTTGATAAATGGAATATCAACTTACAAGAAATGGCT CAAATTAGACGCAAATTTGAAATGTTCACATATGTGAGATTTGATTCGGAAATAACTCTAGTTCCATGCATTGCAGGACA TGGTGATGATATAGGCCACATAGTTATGCAGTACATGTATGTACTACCTGGAGCTCCAGTACCAGATGACAGAAACCACT TTGCATGGCAATCGGGGACTAATGCATCAATATTCTGGCAACATGGTCAACCTTTCCCAAGATTTTCATTGCCATTTCTA AGTGTTGCATCTGCCTATTACATGTTTTATGACGGTTATAATGGAGGTGATCATACAGCAACTTATGGCACCACAGTGGT TAACCGGATGGGGACGCTTTGCGTCAGGATCGTTACGGGCAAACAGGCTCATGATGTCCAAGTTACAACAAGCATTTATC ACAAAGCTAAACATGTAAAAGCATGGTGCCCTAGACCACCAAGGGTTGTCCCATACAAGTATGTTGGCCTAACTAATTAC ACACTTAAAGAAACAGATACAGTTGTGGAACCTAGACACAGCATAATGACAGCTGGACCAAGCGACATGTATGTCCATGC TGGTAACTTGATATATAGAAACCTTCATCTTTGCAACTCAGAAATGCATGACTCAATCCTAATATCATATTCATCAGATT TAGTCATTTATCGAACAAACACCACAGGTAATGACTATATCCCCACTTGTGACTGCACTGATGCTACTTATTACTGTAAA CATAAGGATAGGTACTATCCTATCAAAGTCACTAGTCATGATTGGTATGAGATACAAGAAAGTGAATACTATCCAAAACA CATTCAGTATAATCTTTTAATTGGTGAAGGACCATGTGAACCAGGAGATTGTGGAGGAAAATTATTATGTAAACATGGAG TAATTGGGATAATCACTGCAGGTGGGGAGGGTCATGTAGCATTCATCGATCTCAGGCAATTCCATTGTGCAGATGAACAA GGAATAACTGATTACATCCACATGTTGGGTGAGGCTTTTGGAACAGGTTTTGTTGATAGTGTCAAGGAACAAATAAATGC CATTAACCCAATTAACAATATTAGCAAGAAAATAATTAAATGGCTTCTTAGAATAATTTCTGCAATGGTTATAATAATCA GGAACTCTTCTGATCCACAGACAATCATAGCCACATTAACTTTAATTGGATGCTCAGGCTCCCCTTGGAGATTTCTTAAA GAGAAATTTTGTAAATGGACCCAATTAAACTATATACACAAGGAGTCTGACTCATGGCTTAAAAAATTTACTGAGATGTG CAATGCAGCTAGAGGTTTAGAATGGATTGGGAATAAAATATCAAAATTTATTGAATGGATGAAATCTATGCTTCCTCAAG CTCAGCTTAAGGTGAAATACTTAAGTGAGCTTAAAAAATTAAGTTTCCTTGAGAAGCAGATAGAACACCTAAGAGTAGCT GATACTCAAACTCAGGAAAAGATCAAGCATGAAATTGACACTCTTCATGATCTTTCTTGCAAATTCCTCCCACTTTATGC TAGTGAAGCAAAAAGAATCAAGATATTGCACAATAAGTGTAGTACAATAATTAAACAAAGGAAAAGATGTGAGCCAGTTG CTGTTGTTATACATGGTGATCCTGGCACTGGTAAATCTATGACTACAAGTTTCCTTGCTAGAATGATAACAAATGAAAGT GATATATACTCCTTGCCACCTGACCCCAAATATTTTGATGGATATGACCAGCAAAGTGTGGTTATAATGGATGATGTTAT GCAAAATCCAAGTGGAGATGATATGACTTTGTTTTGTCAGATGGTATCCAGTGTTACCTTTATACCTCCCATGGCTGATT TACCCGATAAAGGCAAACCCTTTGACTCACGATTTGTACTATGTAGCACTAATCATAATATGCTAGCACCACCTACAATC ACTTCATTGCCAGCTATGAATAGAAGATTCTTTTTTGATCTAGATATTGTAGTGTGTGATAAGTACAAAGATTCACAAGG AAAGCTTAATGTATCAGCTGCCTTCCAACCCTGTGATGTGGATGTAAAGATTGGAAATGCCCGCTGTTGTCCATTTATCT GTGGCAAAGCTGTCAATTTTAGGGATCGCAATACTTGTCAGACTTATACTTTAGCACAAGTATACAATCAAATACTTGCT GAAGATAAAAGGCGTAGACAGGTTGTTGATGTTATGGCAGCAATTTTCCAGGGTCCTATTACTCTTGAAGGGCCTCCACC TGCAGCAATAAATGATCTATTGAAATCAGTTAGAACTCCAGAGGTGATAAAGTATTGTGAGGGAAATAAATGGATAATAC CAGCTGAGTGTAAAATTGAAAGAGATCTTAATTTAGCAAACACCATCATCACAATTATTGCTAATATTATTAGTATTTCT GGAATCATTTATGTAATATATAAACTTTTCTGTACACTACAAGGACCATACTCAGGTGAACCAAAACCAAAAACAAAGAT ACCAGAAAGGAGAGTTGTAGCCCAAGGACCGGAAGAAGAATTTGGTAGATCACTTATTAAACATAATTCATGCGTTGTGT CGACTCAGAATGGTAAATTTACAGGCTTAGGAATTTATGATAGAACACTAATCTTACCAACACATGCAGATCCTGGTAGT GAGGTACAAATTGATGGAATTGCAACTAAAGTAGAGGATTCTTTTGATTTATATAATAAAGATGGGGTTAAGTTGGAGAT CACAGTCTTGAAACTCAAGAGGAATGAGAAATTCAAAGACATTAGAAAATACATACCAGAAAATGAAGATGACTATCCAG ATTGCAACTTGGCCCTGTCTGCCAACCAACCAGAGACTACCATAATTAATGTAGGGGATGTAGTGTCTTATGGTAACATC TTACTGAGTGGTAATCAGACTGCTAGAATGCTTAAATATAATTACCCAACAAAATCAGGTTACTGTGGTGGTATTTTGTA TAAGATTGGCCAAGTTCTTGGTATTCACGTGGGTGGAAATGGGAAAGATGGGTTTGCTGCCATGTTATTAAGATCATACT TTTCTGAAACACAGGGACAGATAATTACTTCCAAATCTACAAGCGAATGTGGTGTACCTAGCATTCACACGCCAAGCAAA ACTAAGTTGCAACCCAGTGTCTTTTATGATGTCTTTCCAGGTAATAAAGAACCGGCTGTCCTTTCCAGTAATGATCCTAG GTTGAAAGTAGATTTTAAGGAAGCTTTATTTTCAAAGTATAAAGGTAATAACCAGTGTATTATGAATGATCATATCAAGG TGGCCATCTCACATTATTCAGCACAACTGATGACATTAGATATTGACCCCAAACCTATATCTTTGGAAGAAAGTGTCTTT GGTATAGAGGGCTTAGAAGCTTTAGACCTTAATACTAGTGCAGGGTTCCCTTATATATCTATGGGTATCAAGAAAAGAGA TTTAATCAACAAGCAAACTAAGGATGTGACAAAACTCAAAATGGCATTAGATAAGTATGGTGTTGATCTACCTATGGTTA CTTTTCTCAAAGATGAACTCAGGAAGAGGGAAAAGATTTGTGATGGAAAGACTCGTGTGATTGAAGCCAGTAGCGTGAAT GACACTATACTGTTCAGGACAACTTTTGGCAATCTCTTCTCAAAATTTCATTTAAATCCAGGTGTTGTTACTGGTTCTGC AGTGGGATGTGATCCAGAAACATTTTGGTCAAAAATACCAGTGATGTTAGATGGGGAATGTATAATGGCTTTTGATTACA CGAATTATGATGGAAGTATACACCCTATCTGGTTCCAAGCTTTAAAGGAAGTGTTGGCAAACCTATCATTTGAACCAGCT TTAATAGATAGACTGTGTAGATCTAAGCATATTTTCAAAAATACATATTATGAGGTTGAAGGAGGAATCCCATCAGGTTG CTCTGGAACTAGCATTTTTAACACTATGATTAATAATGTGATCATTAGAACCCTAGTTTTAGATGCTTATAAAAACATTG ATTTGGATAAATTAAAGATTCTAGCCTATGGGGATGATGTGATCTTTTCTTATAAATATCAGCTTGACATGGAGGCAATT GCCAAAGAGGGTACAAAATATGGGTTAACAATAACGCCCGCTGATAAATCTGATTGTTTTAAACAACTTGATTACAACAA TGTGACATTTTTGAAAAGAGGGTTTAGACAGGATGAAAAACATAATTTTCTAATACACCCTACATTTCCAGTAGAAGAGA TCCAAGAGTCTATCCGATGGACCAAAAAACCATCTCAGATGCAGGAGCATGTGTTATCACTGTGTCATTTAATGTGGCAT GATGGTAGAGATGTGTACAAGCAGTTTGTGGAACGGATACGTAGTGTCAGCGCTGGTCGTGCACTATATATTCCTCCTTA TGACTTGCTTTTGCATGAGTGGTATGAAAAATTTTAAATTGTTTAGATATAAAAATATTAAACAGTTAGTTTTTTAGTTT TAC ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_DQ473501.1_Rhinovirus_A34.fa ================================================ >RVA_DQ473501.1_Rhinovirus_A34 (7119 bp) TTAAAACTGGGTCCAGGTTGTTCCCACCTGGACTTCCCACGTGGAGTTGTGCACTGTTATTCCGGTAACTTTACACGCCA GTTTTATCTCCCTTCCCAAATGTAACTTAGAAGATGTACACAGCGACCAATAGGTGGCAACTAGCCAAGTTGCTTAAGGT CAAGCACTTCTGTCCCCCCGGTCAATGTTGATACGCTCTCCCAGGGCGAAAACAACTGAGATCGTTATCCGCAAGGCGCC TACACAAAACCTAGTAACATCTTGAATGGTATGTGGCTGGTCGTTCCGCTAAACCCCATAGTAGACCTGGCAGATGAGGC TAGAAATTCCCCACTGGCGACAGTGTTCTAGCCTGCGTGGCTGCCTGCGTGTCCTTACGGACACGAAGCCATATACTTGA CAAGGTGTGAAGAGTCCCGTGTGCTCGTCTTGAGTCCTCCGGCCCCTGAATGTGGCTAACCTTAACCCTGCAGCCAGTGC GCACAAACCAGTGTGTAGCTGGTCGTAATGAGTAATTGCGGGATGGGACCAACTACTTTGGGTGTCCGTGTTTCACTTTT TACCTTTTATTATGCTTATGGTGACAATATATAGATGCATATATTGACACCATGGGCGCACAGGTTTCTAGACAGAATGT TGGTACACACTCAACTCAGAACACAGTTTCAAATGGTTCAAGTTTAAATTATTTTAACATCAATTATTTTAAAGATGCTG CATCACACGGTGCTTCCAAATTAGATTTTTCACAAGATCCAAGCAAATTTACCGACCCTGTTAAAGATGTGCTTGAGAAA GGCATTCCTACACTCCAATCCCCAACCGTAGAAGCATGTGGTTATTCAGATAGGATTATACAGATAACAAGAGGGGATTC CACAATCACTTCCCAAGATGTAGCAAATGCAGTAGTTGGGTACGGAGTGTGGCCCCACTATTTAACACCACAAGATGCTA CAGCTATTGACAAACCCTCGCGGCCAGACACCTCTTCTAATAGATTTTACACTCTGGAGAGCAAAATGTGGGACAGTTCA TCAAAGGGATGGTGGTGGAAGTTACCAGATGCCCTCAAGGACATGGGAATTTTTGGTGAAAATATGTATTATCATTTCTT GGGGCGAAGTGGTTACACTGTACATGTTCAATGTAATGCCAGCAAATTTCATCAGGGTACACTTATTGTAGCAATGATAC CAGAACACCAACTGGCAAGTGCAACCTATGGGAATGTTGCCGCCGGGTATAATTACACACACCCAGGTGAACGTGGCAGA GTCATCAATGTTACTACGCGTGAACAAAATGATAAACAACCTAGTGATGACAATTGGCTTAATTTTGATGGTACATTATT AGGTAATATCACAATTTACCCACATCAACTCATTAATTTAAGAAGTAATAATTCAGCTACAATTATTGTCCCATATGTTA ATGCAGTACCTATGGATTCCATGCTTAGACACAATAACTGGAGTTTAGTGATAATACCCATATGCCAACTAGAGGGAACT CCAGGCACTGTGCCTATTACCATTTCCATCAGCCCGATGTGTGCTGAGTTCTCAGGGGCTAGAGCAAAAAACCAGGGCTT ACCAGTTATGTTAACACCTGGCTCTGGACAATTTATGACCACTGATGATTTCCAATCCCCTTGTGCTTTACCTTGGTACC ACCCTACCAAAGAGATATCTATCCCAGGTCAAGTTAGGAATTTAATTGAATTATGTCAAGTGGATACACTAATACCCATA AATAATTTACAACAAAATATCAGCAATACTGATATGTATTCAGTTGTATTAAACAATGAAACAGAACTAGCAAAAGAGAT CTTTGCTATCAGGGTTGATATTGCCTCTCAGCCTCTGGCTACCACCCTGCTTGGCGAAATTGCAAGTTACTACACTCATT GGACTGGTAGTCTTAGATTTAGTTTTATGTTTTGTGGGTCTGCTAACACCACTCTTAAACTTTTAATAGCATACACACCA CCAGGTATTAGCAAACCAACCAAGAGAAAAGAAGCCATGTTAGGAACACATGTTGTCTGGGATGTTGGATTACAGTCCAC TATGTCAATGGTAGTCCCTTGGGTGAGTGCTAGTCATTTTAGAAACACAACTCCTGACAAATATTCCTTAGCTGGATACA TAACTTGTTGGTATCAAACAAATCTTATAGCACCACAGAACACACCCCAAACAGCCAAGATACTATGCTTTGTTTCGGCA TGTAAAGATTTTTGCTTAAGAATGGCAAGAGACACAAACTTACATAAACAATCTGGACCTATAGAACAAAATCCAGTTGA AAATTACATAGATGAGGTACTAAATGAGGTATTGGTTGTACCAAACATTAAAGAAAGCCAAGCCACCACATCAAACTCTG CCCCCGCACTGGATGCAGCTGAGACTGGTCACACTAGCAGTGTACAACCTGAAGATATGATTGAGACCAGGTACGTACAA ACATCACAAACAAGAGATGAAATGAGCATTGAGAGTTTCCTGGGTAGGTCTGGCTGTATACACATGTCCAAACTTGTTGT AGATTATGAAAATTACAATGCAAAAACAAAGAACTTTATGACATGGCAAATTAATTTACAGGAAATGGCACAGATTAGAA GGAAATTTGAAATGTTCACCTACGTCAGATTTGATTCTGAAGTCACCCTAGTACCATCAATAGCGGCCAAAGGTGATGAT ATTGGACATGTTGTGATGCAATACATGTATGTACCACCAGGTGCACCAATACCTAAAACTAGAGATGATTTTGCATGGCA ATCTGGAACAAATGCCTCAATATTTTGGCAACATGGTCAAACATACCCTAGATTTTCCCTCCCTTTCTTAAGCATAGCCT CAGCATACTACATGTTTTATGATGGATATGATGGTGATCAACATGATTCAAGATATGGTACAGTAGTGACTAATGACATG GGTACTTTATGCTCCAGAATTGTAACTGATGAACACCAAAACAGAGTAGAAATAACAACTAGAGTTTATCACAAAGCTAA ACATGTAAAAACCTGGTGTCCAAGACCACCAAGAGCTGTTGAGTACACACACACACATGTTACTAACTACAAAGTTAGGG GTAAAACTGAGAAGACTGCAATCAAACACAGAGCAAAGATCACAATGGCCGGTCCAAGTGATATGTATGTGCATGTAGGG AATCTTATATATAGAAACCTACACCTATTCAACTCAGAAATGCATGATTCTATCTTGATTTCTTACTCTTCTGATTTAGT CATATACCGCACAAACACAATAGGTGATGACTATATTCCAACATGTGATTGTACTGAAGCCACATACTTTTGCAAACATA AAAACAGGTATTTCCCAATTAGAGTTACAAGTCATGACTGGTATGAAATTCAAGAAAGTGAGTACTATCCAAAGCATATA CAATATAACCTCTTAATTGGAGAAGGGCCATGTGAACCAGGTGATTGTGGAGGGAAACTATTATGTAAACATGGTGTTAT TGGAATTGTAACTGCTGGTGGTGAGGGGCATGTGGCTTTCATTGATCTCAGGCATTTCCATTGTGCTGAAGAACAGGGCA TAACCGATTATGTTCATATGCTTGGTGAGGCTTTTGGCTTGGGTTTTGTGGACAGTGTCAAGGACCAAATAAATGCGATT AACCCGATTAATGGTATTAGTAAGAAAATCATCAAATGGTTACTGAGAATAATATCAGCAATGGTAATCATAATTAGAAA TTCATCTGATCCACAAACAATAATAGCCACATTGACCCTAATTGGTTGTTCAGGATCACCATGGAGATTTTTAAAAGAGA AATTCTGTAAATGGACCCAACTTAATTATATTCACAAAGAATCAGATTCATGGCTTAAGAAGTTCACTGAAATGTGCAAT GCAGCTAGAGGTTTGGAGTGGATTGGCAATAAGATATCAAAATTTATTGATTGGATGAAATCTATGTTGCCCCAGGCACA ACTTAAAGTCAAATACCTTAATGAACTAAAGAAATTAAGCTTCCTTGAAAAACAAATGGAACATCTCAGAGTTGCTGATT CTCAAACTCAAGAAAAAATAAAATGTGAAATTGACACTTTGCATGATCTATCCTGTAAATTCCTTCCACTTTACGCTAGT GAGGCAAAAAGAATAAAGATTTTGCATAATAGATGTAGTACAATCATCAAACAAAGAAAGAGATGTGAACCAGTGGCTGT TGTTATACATGGTGAACCTGGTACTGGAAAATCCATGACTACAAACTTCCTGGCAAGAATGATAACAAATGATAGCGACA TCTATTCCTTACCACCCGACCCAAAATATTTTGATGGGTATGATCAACAAAGTGTGGTCATTATGGATGATATCATGCAG AATCCTAGTGGAGATGACATGACCTTGTTTTGTCAAATGGTATCAAGTGTGACTTTCATACCACCTATGGCAGATTTACC AGATAAAGGGAAACCATTTGATTCTAGATTTGTATTGTGCAGTACTAATCATAATTTGTTAGCACCCCCCACCATAACGT CTTTACCAGCAATGAATAGAAGGTTTTTCCTTGATTTAGATATTGTAGTGTGTGAGAAATACAAGGATTCACAAGGAAAA CTAAATGTTTCTGCTGCCTTCCGACCATGTGATGTCAATACAAAAATTGGCAATGCCCGATGCTGTCCATTCATCTGTGG TAAAGCAGTCAATTTCAGAGACCGAAATACATGTCAGACATACACGCTTTCACAAGTGTACAACCAGATGCTTGAAGAGG ATAAAAGGCGTAGACAAGTCATTGATGTCATGGCAGCAATATTTCAAGGACCTATCTCCATGGAGGGCCCTCCACCAGCA GCAATAAGTGACCTGTTGCAATCAGTTAGAACTCCTGAAGTAATTAAATATTGTGAGGTAAATAAATGGATGATTCCAGC AGAATGTAAAGTGGAAAGAGATTTAAATATAGCTAACACTATCATCACAATCATAGCAAATATTATTAGTATCTCTGGAA TTATTTATGTTATATATAAACTTTTTTGTACATTACAAGGGCCTTATTCTGGAGAACCTAAACCCAAAACAAAAGTGCCA GAGAGAAGAGTGGTTGCACAAGGACCTGAGGAGGAATTTGGTAGATCACTCATCAAACATAATTCATGTGTGGTAACTAC TGAAAATGGAAAATTCACAGGACTGGGCATCTATGACAGAACATTGATTGTGCCAACACATGCAGACCCTGGTAAGGAGG TACAAATAGATGGTATTACTACTAAAGTGGAAGATTCCTTTGATTTGTTTAATAAAGATGGTGTGAAACTGGAAATCACT GTGCTAAAATTAAAGAGAAATGAAAAGTTCAAGGACATTAGGAAATATATACCAGAACATGAAGATGATTACCCAGACTG CAATCTGGCTTTATCTGCTAATCAGCCAGAAACTACTATAATCAAAGTGGGTGATGTTGTGTCGTATGGGAACATCTTAT TAAGTGGTAACCAAACAGCTAGGATGCTTAAGTATAACTACCCAACAAAATCAGGATACTGTGGTGGCATATTATATAAA ATTGGACAAGTCCTTGGAATCCATGTTGGTGGTAATGGAAGAGATGGATTTGCTGCAATGTTGTTAAGATCTTACTTTAC TGAAGCACAAGGTCAAATAATCACCTCCAAAAGCACTGCTGAGTGTAATTTACCTAGCATCCACACACCAAGTAAAACAA AATTACAGCCTAGTGTCTTCTATGATGTGTTTCCAGGTAATAAGGAACCAGCTGTTCTTTCAGACCATGACCCAAGATTA AAGGTTAATTTCAGTGAGGCACTTTTCTCTAAATATAAAGGTAACAATCAGTGCACCATAAATGATCACATTAAAGTGGC CATCTCCCATTACTCGGCACAATTGACCACACTAGATATAGATCCAAATCCTATAACTTTAGAAGAAAGTGTCTTTGGCA TAGAGGGTTTAGAGGCACTTGACCTTAATACTAGTGCTGGATTTCCTTATGTGTCAATGGGCATAAAGAAAAGAGATTTA ATTAACAAACAGACCAAGGACATTTCTAAATTGAAATTGGCATTAGATAAATATGGTGTTGATTTACCCATGGTCACATT TCTTAAAGATGAACTTAGAAAGAAAGAGAAGATTTCTGCGGGTAAGACCCGTGTGATAGAAGCTAGTAGTGTGAATGACA CTGTATTATTTAGAACAACCTTTGGCAACCTCTTCTCTAAATTTCACCTTAATCCTGGGATTGTTACTGGTTCTGCTGTG GACTGCGATCCAGAAACATTTTGGTCGAAAATACCAGTGATGTTAGATGGGGACTGCATTATGGCATTTGATTACACAAA TTATGATGGCAGTATACATCCAATTTGGTTTCAAGCATTAAAAGAGGTATTAGGCAATTTGTCATTTGAAGCTAATTTAA TAGATAGGTTATGTAATTCCAAACACATCTTTAAGAATGTATATTATGAAGTTGAGGGTGGGGTTCCATCAGGGTGTTCT GGTACAAGTATATTCAATACAATGATAAACAACATTATTATTAGGACACTAGTTCTTGATGCATACAAAAATATTGATTT GGATAAACTGAAAATAATAGCTTATGGAGATGATGTTATTTTTTCATACAAGTACCAACTTGACATGGAAGCAATTGCTA TGGAGGGCACCAAATATGGATTAACAATAACCCCTGCTGACAAGTCGGACAAATTTAAACAGCTTGATTATAGCAATGTG ACCTTTCTTAAAAGAGGATTTAAGCAAGATGAAAAACACAATTTCCTAATACATCCAACTTTCCCAATTGAAGAAATTCA AGAATCTATTCGTTGGACAAAGAAACCATCTCAAATGCAAGAACATGTTCTGTCATTGTGTCATTTAATGTGGCATAATG GTAGGGATGTGTACAAGCAGTTTGAGGAGCGAATACGTAGTGTAAGCGCTGGTCGTGCACTATATATCCCTCCTTATGAT CTGCTTTTGCATGAGTGGTATGAAAAATTTTAGATTATTTAGATATAAAAGTATTAAATAATTAGTTTTTTAGTTTTGC ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_DQ473507.1_Rhinovirus_A53.fa ================================================ >RVA_DQ473507.1_Rhinovirus_A53 (7143 bp) TTAAAACTGGATCTGGGTTGCTCCCACCCAGATTACCCAAGTGGTGTAGTACTCTGTTATTACGGTAGCTTTGTACGCCA GTTTTATCACCCCTCCCCACAATGTAACTTAGAAGTTTTACACTTACAGACCAATAGGATGTGATTATCCAAATCACTAA AGGTCAAGCACTTCTGTTTCCCCGGTTAGATTTGATACGCTCCAACAGGGCGAAAACAGATCTGATCGTTATCCGCAAGA TGCCTACGCAAAGCTTAGTAGCGCTCTGAATGCTTTTTGGCTGGTTGTTCCACTACAAACCCAGTAGTAAACCTGGCAGA TGAGGCTAGAAGTTCCCCACTGGCGACAGTGTTCTAGCCTGCGTGGCTGCCTGCACACCCTATGGGTGTGAAGCCAATCA GTTGACAGGGTGTGAAGAGCCCCGTGTGCTCATCTTGAGTCCTCCGGCCCCTGAATGTGGCTAACCTTAAACCCGCAGCC AAGGTGTGCAAACCAGCACATTCTTGGTCGTAACGAGTAATTGTGGGATGGGACCAACTACTTTGGGTGTCCGTGTTTCT TTTTATTCTTTTACAATGCCTATGGTGACAATATATAGTATATATTGTCATTATGGGCGCTCAGGTATCCAGACAGAATG TTGGTACACACAGTACACAAAATGCAGTGACTAATGGTTCAAGTTTAAATTACTTCAACATTAATTACTTTAAAGATGCT GCATCCAGTGGAGCCTCCAGATTAGATTTTTCACAAGACCCAAGTAAATTTACTGACCCTGTTAAAGATGTTCTTACAAA AGGTATCCCGACTTTGCAATCCCCTTCTGTTGAGGCGTGTGGTTACTCAGATAGAATTATCCAGATAACCCGAGGGAACT CAACAATAACTTCACAGGATGTTGCAAATGCTGTAGTGGCTTATGGTGTATGGCCAGAGTATTTATCTGCTCAAGATGCT AGTGCCATAGATAAACCTTCACACCCTGATACATCATCAAATAGGTTTTATACATTAGAGAGTAAAAACTGGACAAACAC ATCTAAGGGGTGGTGGTGGAAACTTCCAGACGCGCTTAAAAACATGGGCATCTTTGGAGAAAACCTCTTCTACCACTTCC TTGGAAGGGCTGGATACACGGTTCATGTTCAATGTAATGCTAGTAAATTTCATCAAGGAACCTTAATAGTTGCAGCAATC CCAGAACATCAATTAGCCTTTATAAAGAGTGGAAATGTTACAGTTGGTTACAAATATACACATCCTGGAGAACAAGGCAG AGAAATAGGGACTTTTGGGGAGAATAGCGTATTAGACAGACAACCCAGTGATGAAAATTGGTTGAATTGTGATGGCACCC TCCTTGGGAATATCACAGTGTATCCACATCAGTATATCAACCTTAGAAGCAATAATTCAGCTACATTAATACTTCCCTAT GTGAATGCAGTACCAATGGACTCTATGGTTAGACATAACAATTGGAGTATAGTCATAATTCCAATATCTAAATTGGTGTC AGTAGGTGGGACAGCATATGTACCCATAACAATATCCATCAGTCCTATGGCATCAGAATTCTCAGGAGCTAGAAATAATA GTCCTCAGGGTCTACCAGTCATGTTAACCCCTGGTTCAGAACAATTTCTAACAACTGATGATGCCCAGTCACCTTCTGCT TTGCCCTATTTCCATCCAACTAAAGAAATCTTTATTCCAGGTAGGGTCACTAATCTGTCAGAAATTTGTCAGATTGATTC AATGATTCCCATAAATAACACCCATGGGGTCAAAAATACAGTAAACATGTATACGGTACAAGTTCAAGAACAAACCACTC CGGCAAAAGAGGTATTTGCCATACCAGTGGATGTAGCTTCACAACCTTTGGCCACAACACTGATAGGAGAAATAGCTAGT TACTACACTCATTGGACTGGAAGTGTCAGATTTAGTTTTATGTTCTGTGGTACAGCTAATACTAGCCTTAAATTACTCAT TGCATACACACCCCCTGGGGTCCCCAAGCCAACCAGTAGAAAAGATGCAATGCTCTCTACTCATGTAGTATGGGATGTTG GACTGCAATCTACAATGTCCATGGTAGTACCATGGGTTTCAGCAAGTCACTACAGGTACACAACTCCTGATACATATTCA AAGGCTGGATATATCACATGCTGGTATCAGACAAATTTTATAGTCCCTCCTAGCACACCCAACTCAGCAGATATTATATG TTTTGTATCAGGATGTAAAGATTTTTGCTTAAGGATGGCAAGAGATACAAATCTACATACACAAGTAGGAGCAATAACAC AAAACCCGGTAGAGAAATACACAGAGGCTATCTTAAATGAAGTATTAGTAGTCCCAAACATTAATGCAAGCAATCCACAA ACTTCAAATTCAGCACCAGCACTAGATGCTGCAGAAACGGGTCATACAAGTCAGACACAACCTGAGGACATGCTGGAAAC TAGATATGTCATCACAGACCAAACCCGGGATGAAATGAGCATTGAAAGTTTCTTAGGCAGATCAAGTTGCATTGCTGAGA TCCATACCAATTTAGACCATACTGGATACAATGAGCCTGGGAAAAACCACTCAGAATGGAAGATTACACTCAAAGAAATG GCCCAGATTAGAAGAAAATGTGAGATGTTCACATATCTTAGATTTGATTCAGAAATAACTATAGTGGTATCAGTGGCTAG TAAACAAGGGAATAACGGGCACGTGGTGATACAATACATGTATGTACCACCGGGTGCTCCAATACCCAAAACCAGAGATG ATTATACCTGGCAATCTGGAACTAATGCTTCAGTCTTTTGGCAACAAGGACAACCATACCCTAGATTCACAATCCCTTTC ATGAGTATTGCGTCAGCATATTATATGTTCTATGATGGGTATGAAGATGACAATGGCACCACTTATGGGGCTGTTGTTAC TAATGATATGGGAACACTTTGTGTGCGCATAGTGACTGAGCAACAGAAAAATGAGGTCAAGATAACCAGTAGGATTTATC ACAAGGCTAAACATATCAGTGCATGGTGTCCAAGACCACCAAGAGCAGTTGCATATCAACACACATATAGCCCAAATTTT GTACCGCAAACAGGAACAGTTGAAACTCACATTAAGTTCAGACCTGATGTTAAAGATGTAACATCAGTAATGACAGCAGG TCCATCAGATTTGTATGTGCACTCTAGTAATTTTATTTATAAAAACTTGCACTTGTGTGAACCAGAAAACCTAAATGATT CAGTCCTAATCAGTTACTCCAGTGATCTTGTCATTTACCGCACAAATACTACAGGTGATGACATAATCCCAACATGCGAC TGTACACTAGGTACTTACTACTGTAAACATAAGGATAGATATTACCCCATTAGTGTGACAAAACATCAGTGGTATGAAAT ACAAGAATCAGAATATTACCCTAAGCATATCCAATATAACATATTATTAGGTGTAGGACCCTGCAAACCAGGTGATTGTG GGGGCAAGCTCCTCTGCAAACACGGTGTGATTGGTATAATAACCGCTGGAGGTGACAATCATGTAGCTTTCATAGATCTT AGAGACTTTCAAGTTGCTGAGGAGCAAGGAATACCAGAATACATTCATTCCCTTGGCGAAGCTTTTGGCTCTGGATTTGT GGATAACATCAAGGATCAGATCCAAACTATTAATCCAATTAACAAGATATCTAGTAAAATAGTTAAATGGGTAATAAGAA TCATTTCAGCTATCACTATAATAATCAGAAACAATGCTGACCCACATACAATAGTAGCCACATTAGCTCTGTTAGGTTGC TCAGGTTCACCATGGAGATTTATCAAGGAGAAAGTTTGTGGATGGTTGCAACTTAACTATATACATAAGGAATCTGATGG GTGGATAAAGAAATTCACAGAGATGTGTAATGCTGCTAGAGGTCTTGAGTGGTTAGGTAACAAAATATCCAAATTCATTG ATTGGCTCAAGTCTATGTTACCTCAAGCCAGATTAAAGGTGGATTTTATTAAAAACCTTAAACAATTACCATTATTAGAA AAACAGGTAGATGGGTTGAGACTTGCAACACAAAAACAGCAACAGGAGTATATTGATACCCTTACCCTAATGTTGGATTC ATCAAATAAATTCTTACCCCTTTATGCACTTGAAAACAAGCGAATCAAGGAACTACTCAAGAGGGGCCAGATGATTCTTC GCACATCTAAGAGAACTGAACCAGTTGGTGTTATCTTTCATGGTGAGCCAGGGACGGGAAAATCAATCACAACATCTATC CTTGCCCGAATGCTTACCTCAGAATCAGATATTTACTCACTACCTCCATCACCCAAATATTTTGATGGGTATGATCAACA GAGTGTAGTCATCATGGATGATATAATGCAAAATCCCAGTGGAGAAGACATGTCCTTATTCTGTCAAATGGTATCATCAG TACCATTTATACCACCTATGGCAGATCTACCAGACAAAGGAAAACCATTCTCTTCAGACTATGTACTTGCTAGCACTAAT CATACTCTACTCCACCCTCCAACAATTACATGCACAACAGCAATGAATAGGAGGTTTTTCTTGGATTTAGATATCATTGT TAAAGATGATTATAAATTAGGTCAAGGCAAACTAAATTTACAGTGTGCACTCAAACCATGCAAGGAAGGGAAAATTGGCA ATGCAAAATGTTGCCCCCTTATTTGTGGGAGAGCCTTACAATTTAGAGATAGAAGTAATGGAGAACACTTGTCCCTTGCC ACAATATATAATAGGATCACACAGGAAAGCAAAAACAGAAAGGAGTTAACAAACTCACTGCAGGCGATTTTCCAGGGACC AATTGATATTGTGAACAAACCACCACCACCAGCTATAGTAGATTTACTTAAATCAGTTAGAAATCCAGATGTAATTAGAT ATTGTGAAGAAAATAAATGGATAATTCCAGCAGATTGTAAACTTGAAAGGGATCTCAACTATGCTAATGTAATAATATCT ATGATTGCCAATGTAATTAGTATAATGGGTGTGATTTATATTATATACAAACTATTCTGCTCTTTGCAAGGACCATATTC AGGAGAACCAAAACCAGTAACGAAAAAACCAGAGAGAAGGGTGGTCACACAAGGGCCTCAGGAGGAATTTGGACGAAGCC TAATGAAACATAATACATGTGTGGTCACAACTAACAATGGAAAGTTCACCGGTTTAGGTATCTATGACAACGTAATGATA ATACCAACACACGCTGATGCAGGTCAGGAGGTGGAAGTGGATGGGATTAAGACCAAAGTCAGTGATGCATATGATTTATA CAACACACAAGGTGTTAAATTAGAAATCACAGTGTTAAAACTAAACAGGAATGAGAAATTCAGAGATATTAGGAAATACA TTCCAGAGAGTGAAGATGATTACCCAGAATGCTGCTTGGCACTAGTTGCAAATCAGGTAGAACCCACAATTTTAGAAGTT GGTGATTGCTGTTCATATGGAAACATCTTATTAAGTGGTAATCAAACTGCTAGGATGATCAAATACAATTACCCCACTAA ATCAGGTTTTTGTGGCGGGGTCTTATATAAAATAGGCTTGATCTTGGGTATACATGTGGGAGGCAATGGAAGAGATGGTT TTTCTGCAATGTTATTAAGATCTTACTTTAATGAACAACAAGGGAAAATTGTGTCAAAAGCTGAAGTGAAAGAACATAAT CTATATAGCATACACACTCCCACTAAGACTAAATTACAACCTAGTGTTTTCCATGATGTGTTCCCAGGTAGCAAAGAGCC TGCTGTATTATCCACAAGAGATCCAAGGTTAGAGGTAGATTTGGACAGCTCTATTTTCTCAAAATATAAGGGTAATGAGG CAGTAAAAATTTCTGAAAACATGCTTGTTGCTGCTGCGCACTACACGGCCCAGTTGACAACACTAGATATTGACCCACAG CCAATTAGTCTAGAGGATAGTGTATATGGAATTGAGGGTTTAGAAGCATTGGATCTCCACACCAGTGCTGGATACCCATA CACGGCTCATGGAATTAAGAAGAAAGATCTTATACCAAAAGATAAAAATTTGACAAAACTTAAAATTGCTATGGAGAAGT ATGGATTGGACTTACCAATGATAACATTTCTCAAGGATGAACTTAGAAAACCAGAGAAAATTAGTGCAGGAAAAACTAGA ATAATAGAAGCTAGTAGTTTAAATGATACTGTTCAGTTTAGAATGGCATTTGGTAATCTCTTTTCTAAATTCCACAAAAA CCCAGGTATTGTCACTGGATCAGCAGTGGGGTGTGATCCAGAGGTGTTTTGGTCAAAAATTCCAGTTATGCTGGACGGGG ATTGCCTTATGGCATTTGATTATTCCAATTATGATGGCAGTCTGAATCCAGTGTGGTTTGAGCTTCTTGAGAGAGTTTTA AATGATCTCGGTTTCCCTGGAAAATTAGTTAATAAATTGTGCCACTCTAAGCATATCTATAAAACAACATACTATGAAGT AGAGGGTGGAATGCCATCAGGTTGTGCTGGAACCAGTATATTCAATTCAATGATTAATAATATTATAATTAGGACATTAG TTTTAGACACTTATAAATATATTAATCTGGACAAGTTAAAAATACTTGCATATGGTGATGATGTGTTATTCTCTTACCCT TATGATTTGGATATGGCAGAACTAGCTAAAGAAGGTAACAAATATGGTCTGACAATCACACCTGCAGATAAATCAGACAA ATTTGAAAAATTAAACTATGAAAATGCAACCTTTCTGAAACGGGGCTTTAAACAAGATGACAGATATAAATTCTTAATAC ATCCAATTTACCCAGAAAGTGAGGTTTGGGAATCCATTAGATGGACAAAGAATCCCAGAAATATGCAGGAACATGTTCTT TCCCTGTGTCACCTTATGTGGCATAATGGTAAAGACAAATATGATTCATTCGTGAACAAGATCAGGAGTGTTAGTGCTGG TCGCGCACTCTATATCCCACCGTATGAACTCTTGTTGCATGAATGGTATGAAAAATTTTAAACAGATATAGAAAGTATAA ATGAGGTAGTTTATAGTTTTTAT ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_FJ445116.1_Human_rhinovirus_13_strain_ATCC_VR-1123.fa ================================================ >RVA_FJ445116.1_Human_rhinovirus_13_strain_ATCC_VR-1123 (7140 bp) TTAAAACTGGGTTCGGGTTGTTCCCACCCAAACCACCCACGTGGTGTAGTACACTGTTATCCCGGTAACTTTGTACGCCA GTTTTATCTCCCCACCCCCTTTTGTAACTTAGAAGTTATGCACAATGACCAATAGTGGGCAATCATCCAGATTGTCATCG GTCGAGCACTCCTGTTTCCCCGGTTCAAGTTGATATGCTCTAACAGGGCAAAAACAATTTGAATCGTTACCCGCAAGGTG CCTACACAGAACTTAGTACCATTCTGGAAAATTCTTGGCTGGTCGCTCAGTTACTACCCCAGTAATAGACCTGGCAGATG GGGCTAGAAGTTCCCCACTGGCGACAGTGTTCTAGCCTGCGTGGCTGCCTGCACACCCTTCTTGGGTGTGAAGCCTAGAA TTGGACAGGGTGTGAAGAGTCGCGTGTGCTCATCTTGAGTCCTCCGGCCCCTGAATGCGGCTAACCCTAACCCTGCAGCC ATTGCCCACAACCCAGTGGGTCTATGGTCGTAATGAGCAATTGCGGGATGGGACCGACTACTTTGGGTGTCCGTGTTTCA CTTTTTACTTATTATTTGCTTATGGTGACAATATATAGATACATATATTGACACCATGGGCGCCCAAGTTTCTAGGCAGA ATGTTGGAACTCACTCAACTCAGAATTCAGTTTCAAATGGTTCAAGCCTGAATTACTTCAACATCAACTACTTTAAGGAT GCAGCATCAAGCGGTGCTTCTAAATTAGAGTTTTCACAAGATCCAAGCAAATTCACAGATCCAGTTAAGGATGTACTAGA AAAGGGAATCCCTACTTTGCAATCTCCAACAGTTGAAGCATGTGGTTATTCAGATAGGATCATTCAAATCACCAGAGGTG ACTCTACCATAACCTCACAAGATGTTGCCAATGCAGTCGTTGGTTACGGTGTATGGCCACATTATCTTACACCACAAGAT GCCACTGCCATAGATAAGCCAACTAGACCTGACACCTCTTCCAATAGGTTCTATACACTAAAAAGTCAGTTGTGGACTGC TGAATCCAAAGGCTGGTGGTGGAAACTGCCTGATGCCCTAAAAGATATGGGAATTTTTGGAGAGAATATGTTTTATCACT TTTTAGGTAGATGTGGTTACACTGTGCATGTTCAGTGTAACGCTAGCAAATTTCATCAGGGAACTCTTTTAATAGCAATG ATACCAGAACATCAATTGGCCACTGCTGCTGGTGGAAGTGTTTCTGCAGGGTATAAATACACACATCCTGGTGAGAAAGG TAGGGATGTTGGGAAGATAAACCGAGAGAGAAATGACCGGCAGCCCAGTGACGACAATTGGTTAAATTTTGATGGAACTC TCTTGGGAAACCTGACCATTTTCCCACATCAGTTTATTAATCTTAGGAGTAACAATTCAGCTACTATCATAGTACCATAT GTTAATGCAGTACCAATGGATTCCATGCTTAGGCATAATAACTGGAGCCTGGTAATCATACCTATCTGTGAACTCAAGTG CAATAACACTGCCGTCACTGTACCCATCACAATATCTATCAGCCCTATGTGTGCTGAATTCTCTGGTGCTAGAGCTAGGA ATGTTACTCAAGGTCTGCCCACACTGTTAACACCTGGGTCAGGTCAATTCTTGACAACAGATGATTTCCAGTCCCCTAGT GCTTTGCCGTGGTATCACCCAACTAAAGAAATTTCAATTCCAGGGCAAGTCAGAAATTTAATTGAATTGTGTCAAGTTGA TACTATGATACCAATTAACAACACCAATGATAATATTAGAGATAAAAGCATGTACACAATTAGACTTGGTGGTGTAACAA ATGCTAAGGAAGCCATTTTCGCAATGAGAGTTGATATTGCATCTCAACCTTTGGCAACCACAATGATTGGTGAAATTTCC AGCTATTACACACATTGGACAGGGAGTCTCCGATTCAGTTTCATGTTTTGTGGTTCTGCTTTTACAACACTTAAATTGTT GATTGCATACACACCACCAGGAATCACTGTTCCAGAAAACAGGAAAAAAGCTATGCTTGGCACGCATGTTATATGGGATG TCGGGCTTCAATCAACTGTGTCGATGGTGGTTCCATGGGTCAGTGCTAGTCATTACAGAAACACTACACCAGATACTTAT TCTGCAGCCGGATACATCACTTGCTGGTATCAAACTGATTTAATAACACCTCCAAACACAGCCCCAGTAGCTGACATGAT ATGTTTTGTGTCAGGATGTAAAGATTTCTGCCTTCGCATGGCAAGGGATACGAACTTGCATAAGCAAAGTGGGGTTATAG CACAAAATCCTGTTGAAAGGTATGTAGATGAAGTCTTGAATGAAGTTCTTGTAGTACCAAATATCAGTGAAAGTAGCTCA ACTACATCTAATTCAGCTCCAGCCTTAGATGCTGCAGAAACTGGCCACACAAGCAGTGTACAACCAGAAGACATGGTTGA AACACGTTATGTCCAAACTTCACAAACTAGGGATGAAATGAGTGTTGAGAGCTTTTTAGGCAGATCTGGTTGTATACACA TGTCTACCATGAACATAGATTATACTAATTATGATGATTCTGTTAATAATTTTGTGAAATGGAAAATAAGTTTGCAAGAA ATGGCCCAAGTGCGCAGAAAATTTGAGTTGTTCACCTATGTAAGATTTGATTCAGAAATAACAATTGTGCCATGTATAGC CGGGCAAGGTGGTGATGTCGGACATGTTGTTATGCAATACATGTATGTACCGCCCGGTGCACCCCTTCCAACGAAGAGAA ATGATTACACATGGCAATCTGGCACCAATGCATCTGTTTTCTGGCAACATGGTCAAATTTACCCCCGATTCTCTTTACCA TTTCTTAGTATTGCATCTGCATATTATATGTTTTATGATGGATATAATGGAGATTCCTCAGATGCACGCTATGGGACAAC AATCACTAATGATATGGGCACACTTTGCTTCAGAATAGTAACTGAAGAACATACTAACAAGGTCAAGGTTACAACTAGAA TCTATCATAAAGCTAAACATGTCAAAGCATGGTGTCCTAGACCTCCCAGAGCTGTTGAATATACTAATGTGCATGTTACA AACTACAAACCAGGGACAGGAGATGTTGCAGTCTCCATTGTACCTAGAGCAAATGTTAGGGAAATTAGAAACTTTGGACC CAGTGACATGTATGTGCATGTTGGAAATTTAATATATAGAAATTTGCATCTGTTCAATTCAGAAATGCATGACTCAATCT TAGTATCCTATTCATCAGATCTAGTCATCTACCGAACAAACACTATAGGTGATGACTACATCCCATCCTGTGATTGCACT CAAGCCACATACTACTGCAAACATAAAAACAGATATTATCCAATTGAAGTTACTAGTCATGATTGGTATGAAATACAAGA AAGCGAATATTACCCTAAACATATTCAGTACAATCTGTTGATTGGTGAAGGCCCTTGTGAACCTGGAGACTGTGGGGGCA AATTACTATGTAAGCATGGAGTGATTGGAATTATCACGGCTGGTGGCGAGGGTCATGTGGCTTTCATTGACTTGAGACAC TTCTTGTGTGCTGAGGAGCAAGGTGTTACTGACTATATACATATGCTAGGTGAAGCTTTTGGTAATGGCTTTGTAGATAG TGTTAAAGAACATGTCAATGCAATAAATCCCATAAACAATATCAGTAAAAAAGTCATCAAATGGTTATTAAGAATTGTGT CTGCTATGGTCATAATCATTAGGAATTCCTCAGATCCACACACCGTCGTTGCTACTCTAACACTAATTGGTTGTTCTGGC TCACCATGGAGATTTTTGAAAGAGAAATTTTGTAAGTGGACTCAGTTAAACTATATCCACAAAGAATCTGACTCATGGCT TAAAAAATTTACTGAAATGTGCAATGCAGCAAGAGGCCTTGAGTGGATAGGTAATAAGATATCTAAATTTATAGAATGGA TGAAATCAATGTTACCACAAGCACAACTCAAAGTTAAGTATTTAAATGAATTAAAGAAATTAAACTTGCTTGAAAAACAG GTTGAAAACTTGAGATGTGCTGATACCAAAACTCAAGAGAAAATAAAAGTTGAAATAGACACCTTGCATGATCTATCCTG CAAATTTCTCCCACTATATGCTAGTGAAGCCAAAAGAATTAAAGTCATTTACAATAAATGCAATAACATCATCAAACAAA GGAAAAGAAGTGAACCTGTGGCAGTAATGATACATGGTTTGCCTGGGACTGGTAAGTCTATTACAACAAGTTTTCTAGCA AGAATGATTACTAATGAAAGTGACATATACTCCTTGCCCCCTGACCCAAAGTACTTTGATGGTTACGATCAGCAAAGTGT TGTTATAATGGATGATATTATGCAGAACCCTGATGGTGAGGATATGTCACTATTTTGTCAAATGGTTTCTAGTGTTACCT TCATTCCGCCAATGGCCGACTTACCAGACAAGGGAAAACCCTTTGACTCAAGATTTGTTCTGTGCAGTACTAATCATTCT CTTTTGGCCCCTCCCACTATCACTTCTCTTCAGGCAATGAACAGGCGGTTCTTCTTGGACTTGGACATTGTGGTTCATGA TAATTATAAAGATGCACAAGGGAAATTGGATGTGTCCAAAGCATTTAGGCCATGTGATGTTAAGACAAAAATTGGAAATG CTCGCTGTTGTCCATTCATATGTGGTAAAGCAGTAACCTTCAAAGATCGTAACACTTGCCAAAGTTACCCATTGAGTCAG ATTTACAATTTGATTCTTGAAGAAGACAAAAGACGCACTCATGTTGTAGATGTCATGACTGCAATATTCCAAGGGCCAAT TTCAATGGAAGTCCCCCCTCCTCCTGCTATAACTGACCTCTTACGCTCTGTCAAGACACCGGAAGTTATCAAATATTGCG AAGACAATAAATGGATTATTCCGGCTGATTGTAAAATTGAGCGTGACTTGAATCTTGCAAATAATATTATAGCAATTATT GCTAATATAATCAGCATAGCAGGTATTATATACATCATATACAAATTGTTCTGTTCTTTCCAAGGCCCCTACTCAGGTGA GCCCAAGCCCAAGACAAAAATCCCAGAAAGAAGGGTGGTTGCACAAGGTCCAGAAGAAGAGTTTGGTCGCTCAATAATCA AACACAACACATGTGTGGTTACTACTGATAATGGCAAATTCACTGGATTGGGAATCTATGATAAACTCATGATATTACCC ACACATGCCGATCCTGGCAAAGAGGTGTGTATCAATGGAATTGCAACCAAAGTTAGTGACTCATATGATTTATATAACAA ACAAGGTGTTAAATTAGAGATCTCAGCTATAGTATTAGATAGAAATGAGAAATTCAGGGATATACGAAAATACATACCAG AGAGAGAGGATGATTACCCTGATTGCAACTTAGCCCTTGTAGCTAACCAACCAGAACCCACCATTATAAATGTAGGAGAC GTTATCTCCTATGGGAACATCTTACTTAGTGGCAATCAAACAGCACGGATGCTTAAATATAATTACCCCACAAAATCAGG ATACTGTGGTGGTGTTCTATATAAAATAGGTCAGATTATAGGGATTCATGTGGGAGGCAATGGTAGAGATGGGTTTTCTG CAATGCTACTCAGATCTTATTTTAACCAAACTCAAGGAGAAATAACAGTGACAAAGAAAGTTACTGAATGTGGGCTTCCA ACAATACACACCCCATCCAAAACCAAGTTGCAACCTAGTGTTTTCTTTGATGTCTTTGAAGGGTCCAAGGAACCAGCTGT CCTAACTGATAGAGATCCTCGATTAACCACTGACTTTAATAAGGCTTTATTCTCTAAATATAAGGGTAATATAGAATGTA GCATGACTGATCATATGAGAGTTGCTGTATCACATTATTCAGCTCAACTAATGACCTTAGATATTGATTCAGTAAATATA TCTTTAGAGGAAAGTGTGTTTGGCACTGAAGGTCTGGAAGCCCTTGATTTAAATACAAGTGCAGGTTTCCCATATATAAG TATGGGAATAAAGAAAAGAGATCTAATAAACAACAGCACAAAAGACATAACCAAATTAAAGCTAGCACTTGATAAATATG GGGTTGATCTACCAATGGTAACATTTCTTAAAGATGAACTTAGAAAGAAAGAAAAAATATCTACTGGAAAAACAAGAGTC ATTGAAGCTAGTAGTGTAAATGATACAATAGCCTTTAGAGTAGTGTATGGAAATTTGTTTTCTACTTTTCATAAAAATCC TGGTGTAGTTACAGGATCTGCAGTAGGGTGTGACCCTGAGACTTTTTGGTCAAAAATACCAGTAATGTTAGATGGGGACT GCATAATGGCGTTTGATTACACTAATTATGATGGTAGCATACACCCAATTTGGTTTGAGGCTCTTAAACAAGTTTTGATA AATTTATCATTTGAAGACAAGCTTATAGACAGATTGTGTAGGTCAAAACATATATTCAGAGACACATATTATGAAGTTGA AGGTGGGGTACCCTCAGGTTGTTCAGGAACTAGCATATTTAACACTATGATAAATAACATTATCATTAGAACTTTAGTTC TTGATGCTTATAAACATATTGATTTGGACAAACTCAAAATAATAGCATATGGTGATGATGTTATTTTTTCCTACAAATAC CCTTTAGACATGGAGGCAATTGCTATAGAAGGAAATAAGTACGGTTTGACCATCACACCGGCTGACAAATCAGATACTTT CAAGAAGCTTGATTATGACAATGTAACCTTCTTAAAAAGGGGTTTTAAGCAGGATGCTAAATACCCATTCCTGATTCACC CAACATTTCCAGTTTCTGAAATCCATGAGTCCATCAGATGGACTAAGAAACCTTCACAAATGCAGGAACATGTCTTGTCC TTGTGTCACTTAATGTGGCATAATGGACAGGATGTGTATAAAGAATTTGAGAGGAAGATACGTAGCGTGAGCGCTGGACG TGCGCTATATATCCCTCCATATGAATTACTCCTGCATGAGTGGTACGAAAAATTCTGAATTATATATAGAAATATTAAAT ATTTAGTTTTTTAGTTCTAT ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_FJ445140.1_Human_rhinovirus_56_strain_ATCC_VR-1166.fa ================================================ >RVA_FJ445140.1_Human_rhinovirus_56_strain_ATCC_VR-1166 (7136 bp) TTAAAACTGRGTTCAGGTTGTTCCCACCTGGACTTCCTATGTGGAGTTGTACACTGTTATCCCGGTAACCTTGTACGCCA GTTTTATACACCCTTCCCTGTAACTTAGAAGTTATAAGCACGAGGACCAATAGGTAGTGACTTTCCAGGTCACTAAAGGT CAAGCACTTCTGTCTCCCCGGTCAAAGTTGATATGCTCTCCCCAGGGCAAAAACAATTGAGATCGTTATCCGCAATGTGC CTACGCAAAGCCTAGTAATATCTTAGATGATATATGGTTGGTCGCTCCGCCATTTCCCATGGTAGACCTGGCAGATGAGG CTAGAAACTCCCCACTGGCGACAGTGTTCTAGCCTGCGTGGCTGCCTGCGCACTCTCTGAGTGCGAAGCCATATATTTGA CAAGGTGTGAARAGCCCCGTGTGCTCACATTGAATCCTCCGGCCCCTGAATGTGGCTAACCTTAAACCTGCAGCTAGTGC ACACAAACCAGTGTGTAGCTAGTCGTAACGAGCAATTGCGGGATGGGACCAACTACTTTGGGTGTCCGTGTTTCACTTTT TTCCTTTTATATTTGCTTATGGTGACAATATATATAATACATATATTGACACCATGGGCGCTCAAGTATCTAGACAAAAT GTTGGTACACACTCCACTCAAAACACAGTTTCAAATGGATCTAGTCTAAATTATTTCAACATCAATTATTTTAAGGATGC TGCTTCTAGCGGTGCATCCAAATTGGAATTTTCACAAGATCCAAGCAAGTTCACTGACCCAGTTAAAGATGTCTTGGAGA AAGGAATACCCACTCTGCAATCTCCAACTGTAGAAGCTTGTGGTTATTCAGACAGAATTATACAAATCACTAGAGGAGAT TCAACCATCACATCACAAGATGTTGCAAATGCGGTAGTTGGGTATGGTGTGTGGCCTCATTACCTAACACCACAAGATGC TACTGCAATAGACAAACCTACTCAACCAGACACTTCCTCCAACAGATTTTATACATTGGAAAGTAAAGTTTGGACACAAA CTTCAAAAGGATGGTGGTGGAAATTACCGGATGCTCTAAAAGATATGGGAATCTTTGGGGAAAACATGTTCTACCATTTC TTAGGCAGGTCAGGGTACACAGTACATGTACAATGTAATGCAAGTAAATTTCACCAAGGTACCTTATTGGTTGCTATGGT TCCAGAACACCAACTAGCAAGTGCAAATAAAGGTAATGTCACAGCAGGATACAACTACACCCATCCTGGTGAGGCTGGCA GGGATGTGGGACAAACAAGAGTGAATAATGACAGACAACCCAGTGATGATAATTGGTTAAATTTTGATGGTACTTTTATG GGGAATCTGTTGATTTTCCCACATCAATTTATAAACTTAAGGAGTAATAATTCAGCAACTATAATAGTACCATATGTTAA TGCAGTGCCAATGGATTCCATGCTTAGACATAACAATTGGAGTTTGTTAATAATACCTGTTAGCCCATTAAAGAGTGACA CACTAGCAACATCCCAGGTACCTATCACTATATCTATCAGTCCTATGTGTGCTGAGTTCTCAGGTGCCAGAGCAAAGCCA AATGCAGCCCCTCAGGGATTACCAGTTTATGTAACGCCAGGATCTGGTCAATTCATGACAACAGATGATTTGCAATCACC CTCTGCACTGCCATGGTATCACCCAACCAAAGAAATATTCATCCCAGGAGAGGTAAAAAATTTGATTGAAATGTGTCAAG TAGGCACACTTATACCTGTAAATAATACTGATGCAAACTTGCGAAACATCAATAAATACACTGTTCAATTAAGTAGTCAA ACTGATTTAGCTAAAGAAATATTTGCAATTAAGGTGGATGTGGCCTCACAACCGCTCTCTAGTACACTTCTTGGAGAAAT ATGTAGTTACTACACACATTGGACTGGTAGCCTTAGATTTAGCTTTATGTTTTGTGGGACCGCTAACACAACCTTAAAGG TTTTGCTTGCCTATACCCCACCTGGCATCAAGAAACCAGAGAGCAGGAAACAGGCTATGTTAGGCACACATATTGTATGG GATGTGGGCCTACAATCAACTGTATCTCTAGTAGTACCCTGGGTTAGTGCCAGTCATTTTAGATACACAACTCCTGACAC ATACTCAGCAGCAGGTTATATCACATGCTGGTATCAAACAAATTTTGTATTTCCACCTAATACACCAAACACTGCTGATA TGTTATGCTTTGTCTCTGCGTGTAAAGACTTTTGTTTGCGCATGGCAAGAGATACGGATATGCATGTTCAGAATGTACCA ATAACACAAAACCCAGTTGAGAGATATGTAGATGATGTTTTAAATGAAGTTTTAGTTGTTCCAAATATTAGGGAGAGCCA TCCATCCACATCAAATTCTGCCCCTGCATTAGATGCTGCTGAAACTGGCCATACTAGTGCAATCCAACCAGAAGACACTA TAGAAACCAGATATGTACAGACATCACAAACTAGGGATGAAATGAGTATAGAGAGTTTTCTAGGTAGATCAGGTTGTATA CATATATCAACTATAACTGTGGATAATGATGTAGATTATAATTCAAAGCATTATAATAAATGGCAAATAACCTTACAAGA AATGGCTCAAGTTAGGCGTAAATTTGAATTCTTTACTTATGTCAGATTTGATTCAGAGGTTACTTTGGTACCTTGTGTAG CCGGCAAGGGAGATGATATTGGACACATTGTAATGCAATACATGTATGTGCCTCCTGGTGCACCACTTCCAAACTCAAGA GATGATTTTACATGGCAATCTGGCACCAATGCTTCTGTCTTTTGGCAACATGGCCAAGCTTTCCCCAGATTCTCTCTACC TTTCTTAAGTATTGCTTCTGCTTATTACATGTTTTATGATGGTTATGATGGAGACACTTCAAGCTCCAGATATGGTACAT CAGTTACAAACCACATGGGGACACTCTGTTCAAGAATTGTGACAAATAAACAACTTCATCCTGTTGAAGTCACAACTCGT GTATATCATAAGGCAAAGCATATTCGAGCATGGTGTCCTAGAGCACCAAGGGCTGTGCCTTATACACATGCTCACGTCAC CAATTATAAACCACAAGATGGTGATGTACAGATCTTCTTAAAACCCAGACCCAGCCTAACAACATTTGGACCTAGTGACA TGTATGTACATGTTGGAAATCTCATTTACAGAAATCTTCATCTTTTCAATTCAGATATGCATGACTCTATATTAGTTTCT TATTCATCTGATTTAGTCATTTACCGCACAAACACTACAGGTGATGACTATATCCCAACATGTGACTGCACCCAAGCTAC TTACTACTGTAAACACAAGAATAGATATTTCCCAATTAATGTTAATAGTCATGATTGGTATGAAATCCAGGAAAGTGAGT ATTACCCAAAACACATACAATACAACCTGCTAATTGGTGAAGGGCCTTGTGAGCCAGGTGATTGTGGTGGCAAATTATTA TGTAAACATGGTGTTATAGGCATCATTACTGCTGGTGGAGAGGGACATGTAGCATTTATCGATCTTAGACACTTTCACTG TGCTGAGGAACAAGGCATAACTGACTACATACACATGTTGGGTGAAGCTTTTGGAACAGGTTTTGTTGACAGTGTTAAGG ATCAAATAAGTGCTATAAACCCAATAAACAATATAAGTAAAAAAATAATCAAATGGCTTCTTAGAATTATATCTGCAATG GTTATAATTATTAGAAATTCATCTGACCCACAAACAATAATAGCTACTCTAACTTTAATCGGGTGTTCAGGTTCTCCATG GCGATTCCTCAAAGAAAAATTCTGTAAATGGACCCAACTTAATTACGTTCACAAAGAGTCTGATTCATGGCTTAAAAAAT TCACAGAGATGTGCAATGCAGCCAGAGGCTTAGAATGGATTGGTAACAAAATATCAAAGTTTATTGAGTGGATGAAATCT ATGTTACCTCAAGCTCAACTTAAAATCAAATATTTAAGTGAACTTAAAAAATTAAATTTTCTAGAAAAACAAATGGAACA TCTTAGAATTGCTGATTCACAAACTCAAGAGAAAATAAAACATGAGGTAGACACTCTTCATGATCTTTCATGTAAATTTC TTCCACTTTATGCTAGTGAAGCAAAGAGAATTAAAATTTTATACAATAAGTGTAACACAATTATCAAGCAGAGGAAAAGA TGTGAACCAGTAGCAGTTGTAATACATGGTGAACCTGGAACTGGCAAATCAATGACCACTAATTTCCTGGCTAGAATGAT TACAACTGAGAGTGACATTTACTCTCTACCACCTGATCCCAAATATTTTGATGGATATGATCAACAAAGTGTAGTTATCA TGGATGATGTGATGCAAAATCCAAGTGGAGAAGATATGACTCTATTTTGTCAAATGGTATCAAGTGTCACATTTATACCA CCAATGGCAGATTTACCAGATAAAGGCAAACCATTTGATTCTAGATTTGTGTTGTGTAGTACTAATCATAATCTATTAGC TCCACCAACAATAACCTCTTTGCCAGCTATGAACAGAAGATTTTTCTTTGATTTAGATATCATAGTATGTGATAAATATA AGGACCCACAGGGCAAACTGAATGTGTCTGCTGCTTTCCAACCGTGTGATGTTGACACAAAGATTGGCAATGCACGTTGT TGTCCATTCATTTGCGGTAAGGCAGTGATGTTTAGGGATCGCAATACATGTCAAACTTACACATTAGCACAAGTGTACAA TCAAATACTTGAAGAGGACAGAAGGCGTAGACAGGTGATTGATGTGATGGCTGCAATTTTCCAAGGGCCTATTACCCTTG AGGGACCACCACCAGCAGCAATTAGTGACCTGCTACAGTCAGTGAGAACCCCAGAAGTGATTAAGTATTGTGAGAATAAC AAATGGATTATACCAGCAGAGTGTAAAATTGAAAGGGACCTTAATATAGCAAATACTATTATTACAATCATTGCTAATAT TATTAGTATTTCTGGGATAATTTATGTAATATACAAGTTATTTTGCACACTGCAAGGACCATATTCAGGAGAACCTAAGC CAAAAACTAAGATTCCAGAAAGAAGAGTGGTTGCCCAGGGTCCAGAAGAAGAATTTGGAAGATCACTTATTAAGCATAAT TCATGTATTGTAACAACACAGAATGGTAAATTTACAGGTCTTGGAATTTATGATAGAGTGTTAATCCTACCAACACATGC AGATCCTGGTCATGAAGTACAAATAGATGGCATTACAACTAAAGTAGAGGAGTCATTTGATCTATTTAACAAGGATGGAG TCAAGTTAGAAATTACTGTACTCAAATTAAAAAGGAATGAAAAGTTTAAAGACATTAGAAAATACATACCAGAAAATGAG GACGATTACCCAGATTGCAATCTAGCCCTTTCTGCCAATCAACCAGAGACCACTATTATTAATGTGGGAGATGTGGTATC CTATGGTAACATTCTTCTTAGCGGCACCCAAACAGCTAGAATGCTTAAATATAATTATCCAACAAAGTCTGGTTATTGTG GTGGTATCTTATATAAAATAGGACAAGTTCTTGGAATTCATGTAGGAGGAAATGGAAGAGATGGCTTTGCTGCTATGTTG TTGAGATCTTACTTTTCAGAGACACAAGGGAAAATAGTCACTTCAAAGTCCACTAGTGAATGTGGTTTGCCTAGTATCCA TACACCAAGCAAGACTAAACTCCAACCTAGTGTATTCTTTGATGTATTTCCAGGCACTAAAGAACCAGCTGTTCTCACAA ATAGTGACCATAGACTAGAGGTGGATTTTAATCAAGCTCTATTTTCTAAATACAAAGGAAATAACCAGTGTGTTATGAAT GATCATGTCAAAGTAGCCATTTCTCACTACTCAGCACAACTCATGACTCTGGACATCAACCCAGAACCTATTTCTTTAGA AGATAGTGTCTTTGGTACAGAAGGTCTGGAAGCTCTTGACCTTAACACTAGTGCAGGATTCCCATATGTGTCAATGGGCA TTAAGAAGAAAGATTTAATCAATAAGCAAACAAAAGATTTGACTAAACTTAAAATAGCATTAGATAAGTATGGTGTTGAT TTACCTATGGTTACCTTTCTCAAAGATGAGCTTAGGAAGAAGGAAAAGATTGCTGCTGGGAAAACTCGTGTGATTGAAGC TAGTAGTGTGAATGATACTATACTGTTTAGGACAACTTTTGGTAACCTTTTCTCCAAATTTCATTTGAATCCAGGTATTG TTACAGGCTCTGCTGTAGGTTGTGATCCAGAGACATTTTGGTCAAAAATTCCAGTTATGTTGGATGGTGAATGCATAATG GCTTTTGATTATACTAATTATGATGGAAGCATACACCCCATGTGGTTTCAAGCTCTTAAAGAGGTTTTGTCCAACTTATC CTTTGAAGCTAGTTTAATTGACAGATTGTGTAAATCCAAACATATTTTCAAAAATATGTATTATGAAGTGGAGGGTGGAG TCCCATCAGGTTGTTCTGGAACTAGCATATTTAATACAATGATTAATAATATTATTATTAGGACACTAGTGTTAGATGCC TATAAAAACATTGATTTGGATAAACTCAAGATAATTGCCTATGGAGATGATGTACTCTTTTCATATAAATACCAGCTTGA TATGGAAGCTATTGCTAATGAAGGTACCAAATATGGATTAACAATAACACCTGCTGACAAATCTAGTACTTTTAAACAAC TTGATTATAGTAATGTTACTTTTCTTAAAAGGGGATTTAAACAAGATGAGAAGTACCAATTCTTAATACACCCAACATTC CCAGTTGAAGAGATTCAGGAGTCCATTCGCTGGACAAAGAAACCATCTCAAATGCAGGAGCATGTCTTGTCATTGTGCCA CTTAATGTGGCATAATGGTAGAAGTGCCTATAAGCAATTTGAGGAGCGAATTCGCAGTGTTAGTGCTGGTCGCGCACTGT ATATTCCTCCTTATGACTTGCTCTTGCATGAGTGGTATGAAAAATTTTAAATTGTTTAGATATAGAAGTATTAAACAATT AGTTTTTTAGTTTTAT ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_FJ445177.1_Human_rhinovirus_9_strain_ATCC_VR-489.fa ================================================ >RVA_FJ445177.1_Human_rhinovirus_9_strain_ATCC_VR-489 (7132 bp) TTAAAACTGGATCTGGGTTGTTCCCACTCAGATCTCCCACGTGGAGTAGTACACTATTATTACGGTAATCTTGTACGCCA GTTTTATAATCCCCTTACCCAAGTAACTTAGAAGATAAACACAAAGACCAATAGGAGATGATCATCCAGATCATCATAGG TCAAGCACTTCTGTTTCCCCGGTCAAGGTTGATATGCTCTAACAGGGCAAAAACAGCTGAGATCGTTATCCGCAAAGCGC CTACGCAAAGCCTAGTAACTATCTGGAAGTTGCTTGGTTGGTCGCTCCGCCATATCCCATGGTAGACCTGGCAGATGAGG CTAGAAATTCCCCACTGGTGACAGTGTTCTAGCCTGCGTGGCTGCCTGCACACCCTCTGGGTGTGAAACCAAGTAATGGA CAGGGTGTGAAGAGCCCCGTGTGCTCGCTTTGAGTCCTCCGGCCCCTGAATGTGGCTAACCTTAACCCTGCAGCTAGGGC ACACAATCCAGTGTGTATCTAGTCGTAATGAGCAATTGCGGGATGGGACCAACTACTTTGGGTGTCCGTGTTTCTTGTTT TTCTTTTATGTTTGCTTATGGTGACAATATATAGTAATATATRTTGGCATCATGGGCGCTCAGGTATCTAGACAAAATGT TGGGACTCACTCCACACAAAACTCAGTTTCAAATGGATCTAGCCTAAATTATTTCAATATAAATTACTTTAAGGATGCTG CATCAAGCGGTGCATCAAAGCTTGAATTTTCACAAGACCCTAGTAAGTTTACTGATCCAGTCAAAGATGTTCTTGAAAAA GGGATACCCACTTTGCAATCACCCACTGTTGAGGCGTGTGGATACTCAGACAGAATAATCCAAATCACAAGAGGAGATTC AACAATTACTTCACAAGATGTTGCCAATGCAATCGTTGGTTATGGAGTTTGGCCTCATTACCTTACTCCACAAGATGCAA CTGCTATAGRCAAGCCTTCTCACCCTGATACTTCGTCAAATAGGTTTTACACCTTGGAGAGCAAAACGTGGAGCAGTGAT TCCAAAGGCTGGTGGTGGAAGTTACCTGATGCATTGAAGGACATGGGAATTTTTGGGCAAAATATGTACTACCACTTCCT CGGTAGAAGTGGATATACAGTCCATGTGCAATGCAACTCAAGTAAGTTCCACCAAGGGACCTTGATTGTTGCCATGATAC CAGAACATCAATTGGCTGCAGCAGAGAGAGGCAATGTCACCGCCGGGTATAACTTCACACACCCTGGTGAACCTGGTAGA GAGGTTGGAAAGCCTAACCGTCAGTATACTAGTAAACAACCCAGTGATGATAATTGGCTCAATTTTGATGGCACACTTTT GGGCAACATAACTATTTATCCACACCAGTTTATAAACTTAAGAAGCAACAATTCAGCCACAATAATAGTACCATATGTGA ATGCAGTGCCTATGGACTCTATGCTCAGACACAATAACTGGAGTCTAGTAATTATACCTATCTGCCCACTGCAATCCAGT GGAACTGAGTCAAGTACAMTCCCTATTACTATTTCCATTAGCCCCATGTTTGCTGAATTTTCTGGTGCACGTGCGAAGAG TCAGGGATTACCCGTGCTAACAACACCAGGATCTGGCCAATTTATGACTACAGATGACTTTCAATCTCCTAGTGCATTAC CATGGTTTCATCCAACTAAAGAAATATCTATACCTGGGCAAGTTAGAAACTTAATAGAAATGTGTCAAGTAGATACTATC ATACCTATAAACAATACTGGAACTAACACTACAAGCATTAACATGTATACAGTACAAGTAGAGAGACAAGCTGATTTGAT GAGTGAAGTTTTTGCTATAAATGTAGATATAGCTTCCCACCCCTTAGCAACCACTATGTTAGGAGAGATTGCAAGTTATT ACACACACTGGACAGGTAGTTTGCGTTTTAGCTTTATGTTCTGTGGGTCAGCTAGTTCCACTTTGAAACTTTTATTAGCA TACACCCCACCAGGAATTGCAAAACCTACAAGTAGAAGAGATGCAATGTTAGGTACTCATGTAGTATGGGATGTTGGTTT ACAATCAACTATATCTATGGTGGTACCTTGGGTTAGTGCTAGTCACTTTAGAAACACAACTCCAGATAAGTACTCATTAG CAGGATTTATAACTTGCTGGTACCAAACCAACCTTGTAGTTCCAGCTGACACACCAACTACAGCAAACTTACTTTGCTTT GTATCTGCTTGCAAGGACTTCTGCTTGCGAATGGCTCGGGATACCAATCTACACAAGCAAAGTGGCCCAATAACCCAAAA TCCAGTGGAGAATTACATAGATCAGGTGCTTAATGAGGTTTTGGTAGTCCCAAACATTAAAGAGAGCAACCCTACAACCT CTAACTCAGCTCCAGCTCTAGATGCTGCTGAGACAGGCCATACTAGCAATGTTCAACCTGAAGACATGATTGAAACACGT TATGTGCAGACATCACAAACCAGAGATGAAATGAGTCTTGAAAGCTTCTTAGGGAGATCAGGTTGTATACACATATCTAA ATTGAATATTGATTACAGTGACTATGATAAGAGTGTTGAAAATTTCACAATCTGGAAAATAAATATAAAGGAAATGGCCC AGATCAGGAGGAAATTTGAATTGTTTACATATGCAAGATTTGACTCTGAAATAACATTGGTCCCGTGTATAGCAGCAGAA AGTGATAGCGTTGGCCATGTTGTTATGCAGTACATGTATGTACCACCAGGGGCACCTTTACCAAGGACTAGAGATGATTA TGCATGGCAATCAGGCACAAATGCTTCCATCTTTTGGCAACATGGACAATCATATCCCAGATTTTCACTTCCGTTYTTGA GCATTGCCTCTGCATATTACATGTTCTATGATGGTTATGATGGTGGACCAGATTCTCTGTATGGAACAATTGTAACAAAT GATATGGGATCTTTATGTTCCCGTGTAGTTACTGAAGAGCATGGACCCCGTGTCAAAATTTCAACCAGAATATATCACAA AGCCAAACATGTTAAAGCCTGGTGCCCAAGACCTCCTAGGGCAGTTGAGTATATACATACACATGTCACAAATTACAAGC CAAGCACAGGCGATTATGCCACAGTTATACCAGTTAGAGACAATGTTAGGGCAGTAAAGAATGTAGGACCCAGTGATATG TATGTTCATGTAGGAAATTTGATATACAGAAATCTCCACTTATTCAACTCAGAAGCAAATGACTCTGTTTTAATATCATA CTCATCAGATTTAGTCATATACCGCACAAACACTATAGGTGATGACTATATACCAACTTGTGATTGTACTGATGCCACTT ACTACTGTAAACATAAAAATAGATATTACCCCATTAAGGTCACCAGTCATGATTGGTATGAAATACAAGAGAGTGAATAC TACCCAAAACACATACAATACAATTTGTTAATAGGTGAAGGACCTTGTGAACCTGGTGATTGTGGTGGAAAATTATTATG CAAACATGGTGTGATAGGAATAATTACAGCTGGTGGTGAGGGTCATGTTGCATTTATAGATTTAAGACACTTCCATTGTG CTGAAGAACAGGGCATTACTGATTACATACACATGCTGGGAGAGGCTTTTGGAAATGGCTTTGTAGATAGTGTTAGGGAT CAAGTCAATGCAATAAACCCTATAAATAATATAAGTAAGAAAATAGTCAAATGGATGCTTAGAATAATATCAGCCATGGT CATCATTATTAGAAATAGTTCTGATCCACAAACAATAATAGCCACATTGACTTTGATTGGGTGTTCTGGGTCGCCATGGC GATTCTTAAAAGAAAAGTTTTGTAAATGGACACAACTGAATTATGTACACAAGGAGTCAGATTCTTGGCTTAAGAAATTC ACAGAGATGTGTAATGCAGCTAGAGGACTTGAATGGATAGGAAATAAAATATCTAAGTTCATTGATTGGATGAAATCAAT GCTACCACAGGCACAGCTTAAGGTCAAATACTTGAGTGAATTAAAGAAGTTAAATTTACTAGAGAAACAAATTGATAACC TACGTTGTGCTGACACAAAAGTACAGGAAAAGATAAAATTTGAAATAGACACACTCCATGACTTATCCTGTAAATTTCTT CCATTATATGCAAGTGAGGCAAAGAGAATAAAGATTTTGCATAACAAATGTTGTAATATAATTAAACAAAGGAAAAGAAG TGAGCCTGTCGCYATCATGATACATGGACCACCTGGTACTGGCAAGTCTATAACAACTAGCTTTCTCGCCAGAATGATAA CAAATGAGAGTGACATTTATTCACTACCTCCAGACCCTAAGTACTTTGATGGCTACGACCAACAAAGTGTAGTCATTATG GATGATATCATGCAGAATCCTGGTGGTGAAGATATGTCTTTATTTTGTCAGATGGTTTCCAGTGTGACCTTTATACCCCC AATGGCTGATTTACCTGATAAAGGAAAACCTTTTGACTCCAGATTTGTTTTTTGTAGTACCAATCATTCACTTCTAGCCC CACCCACCATCACTTCACTTTCTGCAATGAATAGAAGATTTTACCTAGATTTGGATATTGTAGTGAATGAGAATTTTAGA GACTCTCAAGGGAAATTGGATGTGTCAAAATCATTCAGACCATGTGATATAGATAATAAGATTGGAAATGCAAAGTGCTG CCCTTTCATATGTGGAAAAGCAGTTGTGTTCAAGGACAGAAACACATGCCAAACATATACACTGTGCCAGATTTATAACA TGATTATTGAGGAGGATAAGCGGCGTAGAAATGTCATTGATGTCATGACTGCAATTTTCCAGGGTCCTATAACTATGAAC TCACCACCCCCCCCTGCCATAGCCGACTTGTTACAATCAGTGAGAACTCCAGAAGTTGTTAAATACTGTGAATATAATAA ATGGATAATCCCAGCTGAATGCAAGATAGAAAGAGATCTGAACCTTGCAAACAATATAATAACAATTATTGCAAATATTA TTAGTATAGCAGGTATCATATTTGTTATTTATAAATTATTCTGTTCATTACAGGGACCATATTCGGGCGAACCCAAGCCA AAAACAAGAATTCCTGAGAGGAGAGTGGTGGCACAGGGTCCCGAAGAAGAATTTGGCCGCTCACTAATAAAACACAACAC ATGTGTAGTCACAACTGATAATGGGAAATTCACTGGTTTAGGCATTTATGATAGATACATGATTGTTCCAACACATGCTG ATCCAGGAAAAACTGTGCAAATTAATGGCATTGTCACAAATGTTGTTGATTCATATGATTTGCATAACAAAGATGGGATT AAGCTTGAGATCACAGTCATCAAACTAGACAGAAATGAAAAGTTTAGAGATATACGTAAGTATATACCCGAAAGGGAGGA TGACTACCCTGAATGTAATTTGGCACTTGTAGCAAACCAGGTTGAACCAACAATCATTAGTGTAGGTGATGTTATATCAT ATGGTAATATATTACTTAGTGGTAACCAGACTGCTAGAATGCTTAAATATCATTACCCAACTAAATCTGGGTATTGTGGG GGTGTCCTGTATAAAATAGGTAGTATAATAGGAATTCATGTGGGTGGTAATGGTAGAGATGGATTTTCAGCAATGCTACT AAGATCATACTTTAATGAAACACAAGGACAAATAATCAGCTCAAGAAATGTTAAAGATCTTGGATACCCAACAATTCACA CTCCTAGTAAAACCAAACTACATCCAAGTGTTTTTCATGATGTATTCAAAGGCACAAAAGAACCTGCTGTTTTAACAGAA AAAGATCCACGTTTGGAGGTGGATTTTAAAACTTCCTTATTCTCCAAATACAAGGGTAATGTAGACTGCACATTGAATGA ACACATGAGGGTGGCTATAGCGCATTATTCAGCCCAATTAATGACTCTTGACATAAATCCAGATAACATAACTATGGAAG AGAGTGTTTTTGGAACAGATGGTCTGGAGGCCTTGGATTTAAACACAAGTGCAGGATTTCCATATGTGAGTATGGGAATT AGAAAGAGGGATCTYATCAATAACAGCACTAAAGATATATCTAAACTAAGAGCAGCACTTGATAAATATGGGGTGGATTT GCCTATGGTCACTTTCCTCAAAGATGAACTTAGAAAGAAAGAGAAGATCTCATCTGGGAAAACCAGAGTTATAGAAGCTA GTAGTATTAATGATACTGTAGCATTTAGAATGACTTATGGCAATTTGTTTGCATGTTTTCACAAGAACCCTGGAATTATC ACTGGTTCAGCAGTGGGATGTGATCCTGAAACTTTTTGGTCAAAAATACCTGTGATGTTGGATGGTGAGTGTATAATGGC ATTTGATTACACAAATTATGATGGCAGTATCCACCCTGTATGGTTTGAAGCATTGAAGGAAATTTTGAAAGAATTGAAAT TTGAACATAGATTGATAGACAGGTTATGTAACTCTAGACATATATTTAGGGATTCCTATTATGAGGTTGAAGGGGGGGTA CCCTCAGGATGTTCTGGAACTAGTATATTTAACACAATGATTAATAATGTGATTATAAGGACTTTAGTGCTAGATGCTTA TAAACATATAGATTTAGATAAACTTAAAATAATAGCTTATGGGGATGATGTTATTTTTTCCTATAAATATCCTCTAGACA TGGAAGCTATTGCAATGGAAGGAAAGAAATATGGATTAACCATCACTCCTGCAGACAAGTCTGACACCTTTAAGAAGTTA GATTATGACAGTGTCACATTTCTAAAAAGAGGATTTAAACAAGACTCCAAATATCCCTTCCTTATACATCCTACTTTCCC AGTGAGTGAAATTCATGAATCAATCAGATGGACAAAGAAACCATCTCAAATGCAGGAACACGTGCTCTCGTTGTGCCATT TGATGTGGCATAATGGGCGTGACGTGTATAAGGAGTTCGAGAACGGGATACGCAGCGTCAGCGCTGGACGTGCGTTGTAT ATTCCGCCTTATGAGCTCCTGTTGCATGAGTGGTATGAAAAATTTTAAACTTTATATATAGAAATAATAAACACTTAGTT TATTAGTTTTAT ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_GQ223229.1_Human_rhinovirus_A_isolate_N13.fa ================================================ >RVA_GQ223229.1_Human_rhinovirus_A_isolate_N13 (7136 bp) TTGAAACTGAGTGTGGGTTGTTCCCACCCACACTTCCCATGTGGAGTAGTACACTGTTATTACGGTAACCTTGTACGCCA GTTTTATCATCCCTTTCCCTTTGTAACTTAGAAGTTTTAAACTTGAGACCAATAGGTGGTGATCAGCCAGATCACTAAAG GTCAAGCACTTCTGTCTCCCCGGTCAACGCTGATATGCTCCGCCAGGGCAAAAACAGCTGCGATCGTTATCCGCAAAGTG CCTACGCAAAGCCTAGTAATATCTTGAATGATATATGGTTGGTCGTTCAGCTAAACCCCATAGTAGACCTGGCAGATGAG GCTGGAAATACCCCACTGGTGACAGTGTTCCAGCCTGCGTGGCTGCCTGCGCACTCTTGCGAGTGCGAAGCCATATATTT GACAAGGTGTGAAGAGCCCCGTGTGCTCACTTTGAGTCCTCCGGCCCCTGAATGTGGCTAACCTTAACCCTGCAGCTAGT GCATACAATCCAGTGTGTGGCTAGTCGTAATGAGCAATTGCGGGATGGGACCAACTACTTTGGGTGTCCGTGTTTCACTT TTTCCTTTATAATTTGCTTATGGTGACAGTATATAGCTTATATATTGTTACCATGGGCGCACAAGTCTCCAGACAGAATG TTGGCACACACTCCACGCAAAACATGGTCTCAAATGGGTCTAGTTTAAATTATTTTAATATAAATTACTTTAAGGATGCA GCCTCCAGCGGCGCTTCAAAATTAGAATTTTCACATGACCCAAGCAAATTTACTGACCCAGTCAAAGATGTCCTTGAAAA AGGAATTCCAACACTGCAATCTCCTACAGTAGAGGCATGTGGTTATTCAGATAGAATAATGCAAATCACAAGAGGTGACT CTACAATAACATCACAGGATGTTGCAAATGCAGTGGTGGGTTATGGGGTGTGGCCACACTATTTAAGTGCAAAGGACGCC ACTGCTATTGATAAGCCCACACAACCAGACACTTCATCAAACAGATTCTACACACTAGATAGCAAAATATGGAAACCAGG TTCTAAGGGCTGGTGGTGGAAGCTACCCGATGCATTGAAGGAAATGGGTATATTTGGAGAAAATATGCACTATCATTATC TTGGCAGAAGTGGTTATACTGTACATGTTCAATGCAATGCCAGTAAATTTCATCAAGGGACTTTACTAATTTTGATGATA CCTGAGCACCAGTTGGCAAATGCAAATGCTACCAATGCAGACGCTGGATACAATTATACCCATCCTGGTGAACGAGGCAG AGAGGTTGGTAGCGATCGTGTTGCTCATGCTAACCTTCCAAGTGATGATAATTGGCTTAATTTTGATGGTACTTTATTGG GTAATGCTCTTATATTTCCCCACCAATTCATTAATTTGAGAAGCAACAACTCTGCAACACTGATAGTCCCTTATGTAAAT GCTGTTCCAATGGATTCAATGCTTAGACATAATAATTGGAGTTTAGTGATAATTCCAATTTGTGAATTACTAGTAGATGC TAATGCCAGTGCTGTAGTTCCAATCACTATATCAATAAGCCCAATGTTTGCCGAATTCTCTGGGGCACGTGCAAAACCAG TGGCTGCTCCACAGGGTCTACCAATTTATATGACACCTGGCTCAGGCCAATTTATGACAACTGATGATTTCCAATCACCT TCAGCCTTACCATGGTATCACCCAACCAAAGAAATCTTAATTCCAGGGGAGGTCAAAAATTTAATAGAGATGTGTCAGGT GGATACTTCGATCCCTATCAATAACACAACACAAAACTTGAGAAAGATAAATATGTATACTATACAGTTAGAAAATCAAA CAGAAATGGCCAAAGAGATTTTTGCTATTAAAGTAGATATTGCATCACAACCTTTAGCAAATACCATGATTGGAGAAATT GCAAGTTATTTTACACATTGGGCTGGTAGTTTGCGTTTTAGTTTTATGTTCTGTGGTACAGCAAATACCACTCTCAAACT ACTTCTAGCTTACACACCACCAGGCATAGGCAAACCAAGAGACAGAAAGCAAGCTATGCTTGGGACACACATAGTTTGGG ACGTTGGGTTGCAATCAACAGTGTCTTTAGTTGTTCCATGGGTTAGTGCCAGTCATTTCAGGTACACATCTAGGGATGAA CATTCAGCAGCTGGATTCATAACATGTTGGTATCAGACAAATTTTGTTTTTCCCCCGAACACTCCCAATAGGGCTGACAT GCTGTGTTTTGTATCAGCGTGCAAGGATTTCTGCTTGCGTATGGCCAGAGACACGGATATGCACAAACAAGATGATGCCA TTGAACAAAACCCAGTTGAAAATTATGTGGGAGAGGCGCTTAATGAGGTCTTGGTTGTACCAAATATCAAAGAGAGTCAT CCAAGCACGTCCAACTCTGCCCCAATTTTAGATGCTGCTGAAACTGGGCATACTAGTAATGTACAACCAGAGGATACAAT TGAAACCCGATATGTACAAACAACACAAACAAGAGATGAAATGAGCATTGAGAGCTTCCTTGGTAGGTCAGGATGCGTGC ATTCCTCAACAATAACACATGATGAACAACACACTAAGAAATTTAGAGTGTGGCGCATCAATTTACAAGAAATGGCCCAG ATTAGGCGTAAATATGAAATGTTTACATATGTAAGATTTGATTCAGAGATGACTATGGTTCCAAGCATTGCAGGGTATGG TAATGATGTAGGTCATATAGTTATGCAATACATGTATGTACCGCCTGGAGCTCCAGAACCAACAAGTAGAGAACATTTTG CATGGCAATCAGGCACTAATGCATCTATCTTCTGGCAACAAGGACAACCCTTCCCAAGGTTTTCACTACCATTTTTGAGT GTTGCATCTGCTTATTACATGTTTTATGATGGTTATAATGGTGACACACCTGGATCCAAATATGGCACCACAGTAGTCAA TCGCATGGGTGCACTGTGTATGAGGGTTGTGACAAACAAACAAATCAATAAAGTTGAAATCACAACTAATATATACCATA AAGTTAAGCATGTGAAAGCATGGTGTCCCAGACCACCCAGAGCTGTTCCATACAGGTATGTTGGATCAACAAATTATAAA AAACCTGATCAGGAAGATGTTACAATTTTCATTGAACGTAGACAAGACCCAAAATTCATTACAACAGGACCAAGTGATTT GTTCGTACATGTGGGTAATTTGATATACAGAAATTTACATCTATTTAATTCAGAAGTACATGACTCAGTATTAATATCGT ATTCCTCAGATTTAGTCATCTACCGCACAAACTCTACAGGTAATGACTACATTCCCACATGTGACTGCACTCAAGCAACC TATTATTGTAGACATAAAGATAGGTATTACCCAATTAATGTTACCAGTCATGACTGGTATGAGATTCAAGAAAGTGAATA CTACCCAAAACACATTCAATATAACCTTTTGATAGGTGAAGGTCCATGTGAACCAGGAGACTGTGGAGGAAAGCTATTGT GTAAACATGGAGTGATTGGAATAATAACAGCAGGTGGAGAGGGTCATGTGGCATTTATTGATCTCAGGCAATTTCATTGT GCAGATGAGCAAGGAATAACTGATTACATCCACATGCTGGGTGAAGCCTTTGGATCAGGATTTGTTGACAGTGTTAAAGG CCAAATAAACGCTATCAATCCAATTAACAACATTAGTAAAAAGATAGTCAAGTGGTTGCTTAGAATAATCTCTGCAATGG TTGTAATTATTAGAAATTCCTCTGATCCACAAACAATCATAGCCACATTAACACTAATTGGATGCTCAGGTTCCCCCTGG CGATTTCTTAAAGAAAAATTTTGCAAATGGACCCAATTAAATTACATACACAAGGAATCTGATTCATGGTTAAAGAAATT CACCGAAATGTGTAATGCAGCCAGAGGCTTAGAACGGATTGGCAATAAAATATCAAAATTCATTGAATGGATGAAATCTA TGCTTCCTCAGGCTCAGCTTAAAATCAAATATTTGAGTGAGCTCAAGAAACTTAGTTTTTTAGAGAAGCAGATGGAGTAC TTAAGAGTTGCTGACTCACAAACACAGGAAAAAATTAAATGTGAGATTGACACTTTACATGATCTTTCTTGTAAATTTTT ACCACTCTATGCTAGTGACGCTAAAAGAATAAAGATATTATATAACAAATGTAACACAATTATTAAACAGAAGAAAAGGT GTGAACCAGTTGCAGTTGCCATACATGGTGAACCTGGTACTGGTAAGTCTATGACTACAAACTTTCTTGCTAGAATGATA ACTAATGATAGTGACATATACTCCTTACCACCTGATCCCAAATACTTTGATGGATACGACCAGCAAAGTGTGGTTATTAT GGATGACATTATGCAAAATCCAAGTGGGGAAGATATGACCTTATTCTGTCAAATGGTGTCTAGTGTCACATTCATACCAC CGATGGCCGATTTGCCTGATAAGGGTAAACCTTTTGATTCCAGGTTTGTGTTGTGCGGTACTAATCATAATTTATTAGCA CCTCCTACAATTACTTCATTGCCAGCTATGAACAGAAGATTCTTTCTAGATTTAGATATTGTGGCGTGTGATAAATACAA GGATCCACAGGGAAAGCTAAATGTGGCTGCTGCCTTTCAACCTTGTGATGTAAATACAAAAATTGGAAATGCTCGCTGCT GTCCCTTTATCTGTGGTAAAGCTGTCATTTTTAGAGATCGTAATAATTGTCAGACTTACACTCTGGCACAAGTGTATAAT CAAATACTTACTGAGGACAAAAGACGTAGGCAAGTAGTAGATGTTATGGCAGCAATTTTTCAGGGACCCATTACTCTTGA AGGACCTCCACCTGCAGCAATAAATGATTTATTGAAATCAGTTAGAACTCCAGAAGTCATTAAGTACTGTGAGGACAATA AATGGATAGTTCCAGCTGAGTGTAAGGTTGAAAGAGATCTCAATATAGCCAACACTGTTATTACAATTATTGCTAATATT ATCAGTATTTCTGGAATAATTTATGTTATATATAAACTTTTCTGTACATTACAAGGACCATATTCAGGTGAACCCAAGCC CAAAACCAAGATGCCAGAAAGGAGGGTGGTGGCTCAAGGACCAGAAGAGGAGTTTGGTAGGTCCCTTATTAAACACAATT CATGCATTGTAACAACACAGAATGGTAAATTCACAGGTCTAGGGATATATGATAGAACACTAATCCTACCAACACATGCA GATCCAGGTAGTGAAATACAGATAGATGGCATTACAACTAAAGTGGAAGACTCTTATGACCTATTCAATAAAGATGGAAT CAAGCTAGAAATTACAGTGCTTAAACTTAAGAGAAATGAAAAGTTCAAAGATATCAGGAAATACATTCCAGAAAATGAAG ATGATTACCCAGATTGTAATTTGGCCCTATCTGCTAATCAACCAGAAACCACAATAATCAATGTAGGGGATGTAGTATCA TATGGAAACATTTTACTTAGTGGAAATCAAACAGCAAGGATGCTCAAATACAATTACCCAACGAAATCAGGTTATTGTGG TGGGATTCTATATAAAATTGGACAAGTTTTGGGAATTCATGTTGGTGGTAATGGAAGAGATGGGTTTGCAGCTATGTTAT TAAGATCATATTTTTCAGAAACACAAGGTCAAATAACTACTACTAAACCTACTATTGAATGCAATCTACCTAGTATACAT ACACCTAGCAAAATCAAGTTACAACCTAGTGTATTTTATGATGTCTTTCCTGGTAGTAAGGAACCAGCTGTGCTCTCAGA ATTTGATCCCAGATTAGAGGTTGATTTCAAACAAGCCTTATTTTCTAAATACAAAGGTAATAACCAATGTGAAATAAATG ATCATGTTAGGGTAGCAATTTCCCACTATTCAGCACAGTTGATGACATTGGATATTGATTCAAGTCCAATTTCATTAGAA GATAGTGTTTTTGGTACAGAGGGTCTGGAGGCACTCGATCTTACCACTAGTGCTGGATTTCCTTATGTGTCTATGGGCAT TAAGAAAAGAGACTTAATTAATAAACAAACAAGAGATATCACAAAACTTAAAATGGCATTGGATAAGTATGGTGTTGACT TGCCTATGGTTACACTTCTTAAGGATGAACTTAGAAAGAAGGAGAAAATCTCTGCTGGGAAAACACGTGTCATTGAAGCT AGTAGTGTAAATGACACTGTGCTGTTTAGGACAACTTTTGGCAACCTCTTCTCCAAATTTCACTTAAACCCTGGTATCGT TACTGGCTCCGCAGTGGGATGCGATCCAGAGACCTTTTGGTCAAAAGTACCAGTAATGTTAGATGGTGAGTGCATAATGG CATTTGATTATACAAATTATGATGGTGGTATACATCCAATTTGGTTTAAAGCTCTTAAAGAAGTGCTCTTTAATCTAGGG TTTAGGCCCAATCTAATAGATAGGTTGTGTAAATCAAAACACATTTTTAAGAATGTATATTATGAAGTAGAAGGGGGGGT CCCATCAGGTTGCTCTGGAACAAGCATATTTAATACAATGATTAATAATATTATTATTAGGACATTAGTTTTGGATGCTT ACAAAAATATTGATTTAGACAAGCTTAGGATAATAGCTTATGGGGATGACGTCATCTTTTCTTACAAGTATCAGTTGGAC ATGGAAGCAATTGCTAAAGAAGGTATTAAGTATGGTCTTACAATCACTCCAGCTGACAAATCAAGTGAATTCAAGAAATT GGACTATAGTAGTGTGACCTTTCTAAAAAGAGGGTTTAAACAAGATGACAAATACTCATTTTTAATACATCCAACCTTTC CAGTTGATGAGATACATGAATCCATTCGATGGACTAAAAAACCATCACAGATGCAAGAGCACGTTCTGTCACTGTGTCAT TTAATGTGGCACAATGGTAGGGACGTGTATAAGCAGTTTGAGCAAAGGATACGCAGTGTGAGCGCTGGTCGCGCACTGTA TATCCCTCCATATGACCTGCTTTTGCATGAATGGTATGAAAAATTTTAAGTTGTTTAGATATAGAAATAATAAACAATTA GTTTTTTAGTTTTATA ================================================ FILE: tests/input/TestSkaniReferenceSelection/RVA_L24917.1_Human_rhinovirus_type_16_polyprotein_gene.fa ================================================ >RVA_L24917.1_Human_rhinovirus_type_16_polyprotein_gene (7124 bp) TTAAAACTGGATCTGGGTTGTTCCCACCCAGATCACCTACATGGTGTTGTACACTATTATTACGGTAATCTTGTACGCCA GTTTTATACTCCCTTTCCCAAATGTAACTTAGAAGCAAAGCAAACTGATCAATAGGGGACAATCATCCAGATTGTCAAAG ATCAAGCACTTCTGTTTCCCCGGTCAAAGTTGATATGCTCCACAAGGGCAAAAACAACTGAGATCGTTATCCGCAAGATG CCTACGCAAAGCCTAGTAATACATTGAAAGATACTTGGTTGGTCGCTCAGCTGTTAACCCAACAGTAGACCTGGTAGATG AGGCTAGAGATTCCCCTCCGGCGACGGAGTTCTAGCCTGCGTGGCTGCCTGCACACCCACTGGGTGTGAAGCCAAGTATT GGACAAGGTGTGAAGAGCCGCGTGTGCTCATCTTGAGTCCTCCGGCCCCTGAATGTGGCTAACCTTAAACCTGCAGCCAG TGCACACAATCCAGTGTGTAGCTGGTCGTAATGAGCAATTGCGGGATGGGACCAACTACTTTGGGTGTCCGTGTCCGTGT TTCACTTTTTTTCCTTTTATTATTGCTTATGGTGACAATATATATAGCATATATATATTGTTATCATGGGCGCTCAAGTA TCTAGACAGAATGTTGGTACGCACTCAACACAAAATATGGTGTCAAATGGATCCAGCCTCAATTATTTTAACATTAATTA TTTCAAAGATGCAGCTTCCAGTGGTGCTTCTCGATTGGACTTCTCTCAAGACCCCAGTAAATTCACAGACCCAGTTAAGG ATGTGTTGGAGAAAGGCATACCCACTCTGCAATCTCCAAGTGTAGAAGCTTGTGGATACTCTGATAGAATAATCCAAATT ACAAGAGGCGACTCAACCATAACATCTCAAGATGTTGCTAATGCAGTGGTTGGGTATGGGGTATGGCCACACTACCTAAC TCCGCAGGATGCAACGGCTATAGACAAGCCAACACAACCAGATACATCATCAAATAGGTTTTACACACTGGATAGTAAAA TGTGGAACAGTACCTCCAAAGGTTGGTGGTGGAAACTACCAGATGCTCTTAAAGACATGGGTATTTTTGGTGAAAATATG TTTTATCATTTCTTGGGTAGAAGTGGTTATACAGTGCACGTACAGTGCAATGCAAGTAAATTCCACCAGGGTACACTACT AGTGGTTATGATACCAGAACACCAGTTAGCTACAGTAAATAAAGGTAATGTTAATGCAGGTTACAAATACACACATCCTG GTGAAGCTGGTAGAGAAGTGGGTACACAAGTTGAAAATGAGAAACAACCTAGTGATGATAATTGGCTAAATTTTGATGGT ACATTATTGGGCAATTTACTGATATTCCCACACCAGTTTATTAACTTAAGGAGCAATAACTCAGCAACTCTTATAGTACC ATATGTTAATGCTGTTCCAATGGATTCTATGGTTAGACATAACAATTGGAGTTTGGTAATAATACCAGTTTGTCAACTAC AAAGCAACAATATATCCAACATTGTTCCCATCACTGTTTCCATTAGCCCAATGTGTGCTGAATTCTCTGGAGCACGTGCC AAAACAGTTGTGCAAGGTCTACCAGTATATGTTACACCAGGATCAGGACAATTCATGACAACAGATGATATGCAATCTCC ATGTGCACTGCCTTGGTACCATCCAACAAAAGAGATCTTTATACCAGGAGAGGTTAAGAACTTGATTGAAATGTGTCAGG TGGATACACTCATACCAATAAATAGCACACAGTCTAACATTGGCAATGTCAGCATGTACACAGTAACTCTATCACCACAA ACAAAATTAGCTGAAGAAATTTTTGCAATTAAAGTAGATATTGCCTCACATCCCTTAGCCACAACCCTCATTGGTGAGAT AGCAAGTTACTTTACACACTGGACAGGGAGCCTGCGATTCAGTTTCATGTTTTGCGGGACTGCAAACACTACCTTAAAAG TTTTGCTAGCATATACACCCCCAGGGATTGGTAAGCCTAGAAGTAGAAAGGAAGCAATGTTAGGGACACACGTGGTGTGG GATGTAGGTTTACAATCTACAGTGTCATTGGTTGTACCATGGATCAGTGCCAGTCAGTATAGATTCACTACACCAGACAC ATACTCCTCAGCAGGCTACATTACATGCTGGTATCAAACTAATTTTGTTGTTCCACCAAACACACCTAACACTGCTGAGA TGTTGTGTTTTGTATCTGGATGCAACCACTTTTGCCTTCGGATGGCAAGAGACACAGACCTGCACAAGCAAACAGGACCA ATAACACAAAATCCAGTGGAAAGATATGTAGATGAAGTCTTAAATGAAGTGTTAGTAGTGCCCAATATTAATCAGAGCCA CCCTACCACATCAAATGCAGCCCCAGTTTTGGATGCTGCTGAAACAGGACATACCAATAAGATACAGCCAGAAGACACTA TAGAAACCAGATATGTGCAATCTTCACAGACATTGGATGAAATGAGTGTGGAAAGCTTCCTAGGCAGATCGGGGTGCATC CATGAATCAGTGTTGGATATTGTGGACAATTACAATGATCAAAGTTTCACTAAATGGAACATAAACCTGCAAGAAATGGC ACAAATTAGAAGAAAATTTGAAATGTTTACTTATGCAAGATTTGACTCTGAAATTACTATGGTACCAAGTGTAGCAGCCA AAGATGGTCACATTGGTCATATAGTCATGCAATATATGTATGTACCACCAGGAGCACCTATACCAACAACTAGAGATGAC TATGCTTGGCAATCTGGAACAAATGCATCTGTATTTTGGCAGCATGGGCAACCTTTCCCTCGCTTTTCACTTCCCTTTTT GAGTATTGCATCAGCATATTACATGTTTTATGATGGTTATGATGGAGACACATATAAATCCAGATATGGAACTGTAGTCA CCAATGACATGGGAACTTTGTGTTCGCGTATTGTGACCAGTGAGCAATTACACAAAGTCAAAGTGGTAACAAGGATATAT CACAAAGCCAAACACACCAAAGCTTGGTGCCCAAGACCACCCAGAGCTGTTCAATACTCACATACACATACCACCAACTA CAAATTGAGTTCAGAAGTACACAATGATGTGGCTATAAGACCTAGAACAAATCTAACAACTGTTGGGCCTAGTGACATGT ATGTGCATGTTGGTAATCTAATATACAGAAATCTACATTTATTTAACTCTGACATACATGATTCCATTTTAGTGTCTTAT TCATCAGATTTAATCATATACCGAACAAGCACACAAGGTGATGGTTATATTCCAACATGTAATTGCACTGAAGCTACATA TTACTGCAAACACAAAAACAGGTACTACCCAATTAATGTCACACCTCATGACTGGTATGAGATACAAGAGAGTGAATATT ATCCAAAACATATCCAGTACAATTTACTAATAGGTGAAGGACCATGTGAACCAGGTGATTGTGGTGGGAAATTATTATGC AAACATGGAGTGATAGGTATTATTACAGCAGGTGGTGAGGGCCATGTTGCATTCATAGATCTTAGACACTTTCACTGTGC TGAAGAACAAGGAATCACTGATTACATACACATGCTCGGTGAAGCTTTTGGTAGTGGATTTGTAGATAGTGTTAAAGACC AGATTAATTCAATAAATCCCATCAATAACATTAGCAGTAAGATGGTTAAATGGATGTTAAGAATTATATCAGCTATGGTT ATAATTATTAGAAACTCTTCAGATCCGCAAACAATAATTGCCACTTTAACACTGATTGGATGCAATGGTTCTCCTTGGAG ATTTCTCAAAGAAAAGTTCTGTAAATGGACTCAATTAACTTATATACACAAAGAATCAGATTCATGGCTCAAAAAATTCA CTGAGATGTGTAATGCAGCTAGGGGGCTAGAATGGATTGGAAACAAAATATCCAAATTTATCGATTGGATGAAATCAATG CTACCCCAGGCACAATTAAAAGTTAAGTATTTGAGTGAACTTAAGAAACTCAACTTTCTGGAGAAACAGGTTGAAAATCT CAGAGCAGCTGATACTAACACTCAAGAAAAAATCAAGTGTGAGATAGATACATTGCATGACTTATCCTGTAAGTTTTTAC CTCTGTATGCCAGTGAAGCAAAGAGAATTAAAGTGTTGTATCACAAGTGCACTAACATAATTAAACAGAAGAAGAGAAGT GAACCTGTAGCAGTTATGATACACGGGCCTCCTGGGACCGGAAAATCAATCACTACAAGCTTCCTGGCTAGAATGATTAC TAATGAGAGTGACATATACTCACTTCCACCAGACCCTAAATATTTTGATGGTTATGATAACCAGAGTGTAGTAATAATGG ATGACATCATGCAAAACCCTGGTGGTGAGGACATGACATTATTCTGTCAGATGGTATCTAGTGTGACTTTTATACCCCCA ATGGCTGATCTACCAGATAAGGGAAAACCCTTTGATTCTAGATTTGTATTGTGTAGTACTAATCACTCACTCTTGGCACC CCCAACTATATCGTCGCTCCCAGCAATGAATAGAAGATTCTATTTAGATTTAGATATTCTTGTGCATGATAACTACAAAG ATAATCAGGGTAAGTTAGATGTTTCTAGAGCATTTCGGCTATGTGATGTTGATTCAAAGATTGGAAATGCAAAATGTTGT CCATTTGTATGTGGCAAGGCAGTGACATTCAAGGACCGCAACACATGTAGAACTTATTCACTTTCCCAAATATACAACCA AATTCTTGAGGAAGACAAGAGAAGGAGACAGGTGGTTGATGTCATGTCTGCAATTTTCCAAGGGCCTATATCCATGGATA AACCCCCACCACCAGCTATAACAGACCTTTTACGCTCAGTAAGGACACCAGAAGTAATTAAGTACTGCCAAGACAATAAA TGGATAGTTCCTGCGGACTGCCAAATTGAAAGGGATCTGAATATAGCTAATAGCATAATCACAATCATAGCTAATATCAT CAGTATAGCAGGGATTATATATATAATTTATAAGCTCTTTTGCTCTCTACAGGGCCCTTACTCGGGGGAGCCCAAACCTA AGACAAAAGTTCCCGAGAGAAGAGTGGTAGCTCAAGGTCCAGAAGAAGAATTTGGAATGTCTATTATTAAAAATAATACC TGTGTTGTGACCACAACAAATGGAAAATTTACAGGATTAGGCATTTATGACAGAATCTTAATATTACCAACACATGCTGA CCCGGGCAGTGAAATTCAAGTAAATGGAATACACACCAAAGTGCTTGATTCTTATGACTTATTTAATAAGGAAGGTGTCA AGTTGGAAATTACTGTGCTAAAGTTAGATAGAAATGAGAAGTTCAGGGATATACGTAAGTACATACCTGAATCAGAAGAT GACTATCCTGAATGCAACCTAGCACTAGTGGCCAATCAAACAGAACCAACTATAATCAAAGTAGGGGATGTTGTGTCTTA TGGTAATATATTACTTAGTGGCACACAGACAGCCAGAATGCTTAAATATAACTATCCTACAAAATCTGGGTATTGTGGTG GTGTGTTATACAAGATTGGCCAGATCTTAGGTATACATGTGGGTGGCAATGGTAGAGATGGGTTTTCATCTATGCTATTG AGATCATACTTCACTGAACAACAAGGCCAAATTCAAATCTCTAAACATGTTAAAGATGTTGGCTTACCCTCAATACATAC GCCAACTAAAACTAAATTGCAGCCAAGTGTCTTCTATGACATTTTTCCAGGCAGTAAGGAACCAGCAGTCCTCACAGAAA AAGATCCTAGATTGAAAGTGGACTTTGACTCAGCTCTTTTTTCAAAATACAAAGGTAACACAGAGTGCAGTTTGAATGAA CATATACAAGTTGCAGTAGCACACTACTCAGCTCAGCTAGCAACACTAGATATAGATCCACAACCAATTGCAATGGAAGA TAGTGTTTTTGGAATGGATGGCTTGGAAGCTTTGGATCTGAATACTAGTGCAGGTTATCCCTATGTAACACTAGGAATTA AAAAGAAAGATCTTATTAATAACAAGACTAAAGATATTTCCAAACTTAAGCTAGCATTAGACAAATATGATGTTGATTTG CCCATGATTACTTTCTTAAAAGATGAACTTAGAAAGAAGGATAAGATAGCAGCAGGCAAAACCAGAGTTATAGAAGCTAG TAGTATAAATGATACCATTTTGTTTAGAACAGTTTATGGAAACCTATTTTCTAAATTTCACTTGAACCCAGGAGTGGTAA CAGGCTGTGCAGTTGGATGTGATCCAGAAACCTTTTGGTCTAAAATTCCCTTGATGTTAGATGGAGATTGCATCATGGCT TTTGATTATACAAATTATGATGGTAGCATTCATCCAATTTGGTTTAAAGCTCTCGGGATGGTACTTGATAATTTATCCTT TAACCCTACTCTAATCAATAGACTTTGTAACTCAAAACATATTTTCAAGTCCACATATTATGAAGTTGAAGGTGGTGTGC CCTCTGGTTGTTCTGGAACTAGTATATTTAACTCAATGATTAATAATATAATCATTAGAACCTTAGTTTTGGATGCATAT AAACATATTGATTTAGATAAACTTAAAATAATTGCCTATGGTGATGATGTGATCTTTTCTTACAAGTATAAACTAGACAT GGAAGCCATAGCCAAGGAAGGGCAGAAATATGGACTTACTATAACACCTGCAGATAAATCTAGTGAATTCAAAGAACTTG ATTATGGAAATGTAACTTTTCTTAAAAGAGGATTTAGACAAGATGATAAATACAAATTTTTGATACATCCTACTTTTCCA GTTGAAGAGATTTATGAGTCCATTAGATGGACAAAGAAACCATCTCAAATGCAGGAGCATGTCTTATCCTTGTGTCACTT AATGTGGCACAATGGTCCTGAGATTTATAAGGACTTTGAAACAAAGATACGCAGTGTCAGCGCTGGACGTGCACTGTATA TCCCTCCTTATGAACTCCTAAGACATGAATGGTATGAAAAATTCTAGATATAGAATTAATAAATGAATAGTTTGTTAGTT TTAT ================================================ FILE: tests/input/TestSkaniReferenceSelection/USA-MA-Broad_BWH-19947-2023.l000013249603_C5.HTKJ7DRX3.1.acellular.dedup.assembly1-spades.fasta ================================================ >NODE_1_length_6988_cov_737.516992 CCAGTTTTATCTCCCCTCCCCCCCTTATGTAACTTAGAAGTTCTGCACACCGACCAATAG CGGACAATCAGCCAGATTGTTTCGGGTCAAGCACTACTGTTTCCCCGGTCGATGTTGATA TGCTCCAACAGGGCAAAAACAACAGCGATCGTTATCCGCAAGGTGCCTACACAAAGCCTA GTACCATCTTGGAAGAATTGTGGTTGGTCGCTCAGTTGCAAACCCAGCAATAGACCTGGC AGATGAGGCTGGACATCCCCCACTGGCGACAGTGGTCCAGCCTGCGTGGCTGCCTGCACA CCTCTATGAGGTGTGAAGCCATAATTTCGACAAGGTGCGAAGAGCCGCGTGTGCTCACCT TGAGTCCTCCGGCCCCTGAATGCGGCTAACCTTAAACCTGCAGCCATGGTCCACGAACCA GTGGATACGTGGTCGTAATGAGCAATTGCGGGATGGGACCGACTACTTTGGGTGTCCGTG TTTCCTGTTTTTCTTTTATACTGCTTATGGTGACAATATATACGATATATATTGACACCA TGGGCGCACAAGTATCCAGACAGAATGTTGGTACACACTCAACACAAAACACTGTTTCAA ATGGGTCAAGTCTAAATTATTTCAACATCAATTATTTTAAAGATGCTGCTTCTAGTGGAG CCTCCAAGTTAGAATTTTCACAGGATCCAAGCAAGTTTACTGACCCCGTTAAAGATGTTC TTGAAAAGGGAATTCCAACTCTACAATCACCAACAGTTGAGGCATGTGGTTATTCTGATA GAATTATTCAGATAACCAGAGGAGATTCAACCATCACATCTCAAGATGTTGCAAATGCAG TAGTTGCATATGGTGTGTGGCCACATTACCTAACACCGCAAGATGCAACTGCTATTGACA AACCATCACAACCTGAAACATCATCCAACAGATTCTACACATTGGAGAGTAAAACCTGGG ATACATCATCAAAGGGCTGGTGGTGGAAACTACCAGATGCATTGAAGGATATGGGTATAT TTGGACAAAACATGTATTACCACTTCCTTGGCAGGAGTGGTTACACAGTACATGTTCAAT GCAATGCTAGTAAATTTCATCAAGGCACTTTAATTGTGGCAATGATCCCAGAACATCAAT TGGCTAGTGCAAGACATGGAAATCTTACTGCTGGTTACAATTTCACACACCCAGGCGAAA ATGGGAGAAATGTTGGGCAATTAAGAACAGAATATTTAGACAAGCAACCCAGTGATGACA ATTGGTTGAACTTTGATGGGACATTGCTTGGCAACATCACAATATTTCCCCATCAATTTA TTAATTTAAGAAGTAATAATTCAGCCACAATAATAGTTCCTTATGTGAATGCTGTCCCAA TGGATTCTATGCTTAGACATAATAACTGGAGCTTGGTTATTATACCAATATGTGAATTGC AGGTAGATACAGGCGTTCCAGCCACTGTACCAATAACCATATCCATAAGCCCAATGTTTG CAGAATTCTCAGGAGCAAGAGCAAGGAGCCAAGGTATCCCAACTATGCTTACACCTGGAT CAGGGCAATTCATGACTACTGATGACTTTCAATCCCCTAGTGCATTACCGTGGTACCATC CCACTAAGGAGATATCCATCCCTGGGCAAGTCAGAAATCTAATCGAATTATGTGAGGTTG ATACCCTTATACCAGTAAATAACACCTCAGAGAATCTAAAAACCACAAACATGTACACTG TTCATTTGGAGAGACGCTCTGATTTGGCACAGGAAATATTTGCAATAAGAGTAGATATTG CTTCACAACCCTTGGCAACTACATTAATAGGGGAAATTGCTAGTTATTACACACATTGGA CCGGCAGCCTTCGGTTCAGTTTTATGTTTTGTGGATCTGCAAGCACAACTTTAAAACTCT TACTAGCATACACACCTCCAGGAATTGCCAAGCCCACTACTAGGAAACAAGCTATGCTAG GAACACATGTAGTGTGGGATGTGGGCCTGCAATCGACCATTTCAATGATTGTGCCATGGG TTAGTGCTAGTCACTTTAGAAATACAACCCCAGATACTTACTCACTTGCAGGATATGTAA CTTGCTGGTACCAAACCAACTTGGTTGTCCCACCCAATACCCCACCTAATGCTAAAATGC TCTGTTTTGTTTCTGGTTGTAAAGATTTTTGCTTAAGGATGGCAAGAGATACTAACCTAC ACAAGCAAAGTGGTGTCATAGAACAAAATCCAGTTGAGAATTATGTAGATGAAATCTTGA ATCAAGTTTTGGTAGTTCCAAATACAGTAGAGAGTCATCCAACAACATCTAATGCTGCTC CAGCTTTAGATGCAGCTGAGACTGGTCACACTAGCCATGTCCAACCAGAAGACATGTTAG AAACAAGACAAGTGCAAAATTTCCAAACTAGAGATGAGATGAGTATTGAGAGCTTTCTAG GTAGATCTGGATGCATACACATTTCAACACTTGAGATAGATTACACAAATTATAATGGAG AAGGCAAAAACTTCACTCAGTGGCCGATCAACTTACAGGAAATGGCTCAGATCAGGAGGA AATATGAATTATTCACATATCTTAGATTTGATTCAGAGATTACTTTAGTGCCTTGCATAG CAGCCAAAGGAAATGATATAGGTCATGTGGTAATGCAATATATGTATGTACCACCAGGAG CTCCAATACCAACAACCAGGAAGGATTACGCATGGCAATCCGGAACAAATGCATCTGTAT TTTGGCAACATGGACAAACATTTCCCAGATTCTCGCTGCCATTTCTGAGCATTGCATCAG CATATTACATGTTTTATGATGGTTATGAAGGAGATCAAAACACATCCCGTTATGGTACCA TTGCCAGTAATCACATGGGGACACTATGCTCCAGAATAGTTACAGAAGAACACCAAAATA AAGTTGAAGTGACCACTAGAATATATCATAAAGCCAAACATGTTAAAGCTTGGTGTCCGA GACCACCTAGGGCTGTTGAATACACGTTCAGGCGTGTAACAAACTACAAAAGAGATGGGC AACAAGTTGAGATTGCTATCGAGCCCAGAAGAGACATTAAGTTTGTAAATGCAGGTCCAA CTGACTTGTATGTGCATGTAGGGAATTTAATTTATAGAAATTTGCATCTTTTTAACTCTG AACTGCATGATTCCATATTAGTCTCCTATTCATCAGATTTAATCATTTATCGAACAAACA CAGTAGGTGATGATTATATTCCAACATGTGATTGCACAGAAGCCACATATTATTGTAGAC ACAAAAATAGATACTACCCAATTAAAGTAACTAGTCATGATTGGTATGAAATTCAAGAGA GTGAATATTATCCTAAACACATACAATATAATTTATTAATAGGAGAGGGCCCATGTGAAC CTGGTGACTGTGGTGGAAAATTGCTATGCAGGCATGGAGTGATAGGTATTGTAACAGCTG GGGGTGAAGGTCATGTGGCTTTTATTGATTTAAGACAGTTCCACTGTGCTGAAGAACAAG GTATAACAGACTACATTCACATGCTTGGTGAAGCCTTTGGTAATGGATTTGTGGAGAGTG TCAAAGAACAAGTCAGCGCAATAAATCCAATCAACAATATTAGCAAAAAGATAGTTAAGT GGATACTTAGAATAATATCAGCAATGGTTATAATAATTAGAAACAATTCTGACCCTCAAA CAATCATCGCTACTCTAACCTTGATTGGGTGTTCGGGATCGCCATGGCGTTTTCTGAAAG AGAAATTTTGCAAATGGACACAACTCACTTATATCCACAAGGAATCAGATTCCTGGCTCA AGAAATTCACTGAAATGTGTAATGCTGCACGAGGATTGGAATGGATTGGCAATAAGATTT CAAAATTCATAGAGTGGATGAAATCCATGTTACCTCAAGCCCAACTTAAAGTGAAATACC TTTCTGAACTTCGGAAACTCAATTTACTGGAAAAGCAGATGGAGAACCTAAGAGCAGCAG ATGCAAACACACAGGAGAAAATTAAGTTAGAGATTGACACCCTCCATGATTTATCATGCA AATTTCTGCCATTGTATGCTAGTGAAGCAAAGAGAATTAAAGCTCTACACAACAAATGCA ACAACATAATTAAACAAAGAAAGAGGAGTGAACCAGTTGCTATAATGATACATGGTCCTC CAGGCACTGGAAAATCAATAACCACAAGTTTTCTTGCCAGGATGATAACTAATGAGAGTG ATGTATATTCTTTGCCACCTGATCCTAAGTATTTTGATGGGTATGATCAACAAAGTGTAG TCATAATGGATGATATTATGCAAAATCCAGATGGGGAAGATATGTCATTGTTTTGTCAAA TGGTGTCTAGTGTAACTTTTATACCCCCAATGGCTGATCTACCTGATAAAGGAAAACCTT TTGACTCTAGGTTTGTATTCTGTAGCACAAATCAAACTCTCTTAGCTCCTCCCACAATTA CATCTCTACCAGCTATGAATAGACGTTTCTTTTTAGATTTAGACATAGTGGTTCATGATA ACTTTAAAGACATTCAGGATAAATTGGATGTTCCAAAAGCATTTAAACCATGTGATATAG ATACAAAAGTGGGTAATGCCCGCTGTTGTCCATTTATATGTGGTAAAGCTGTAACTTTCA AAGACCGCAACACATGCCAGAGTTACACCCTTAGTCAGATTTACAACAAAATACTGGAGG AAGATAAACGTCGCAGAAATGTAGTTGATGTCATGTCTGCTATCTTCCAGGGACCCATAA CATTGGATGCACCACCACCTCCCGCTATAACAGATTTGTTAAGATCTGTTAGAACTCCAG AAGTGATTAAGTATTGTGAGGATAATAAATGGATAATTCCAGCTGACTGTAGAATAGAGA GAGATTTAAACTTAGCTAATAATATTATTACAATTATTGCTAATGTAGTTAGTATTGCAG GCATCATCTATGTGATATATAAGTTATTTTGTTCACTGCAGGGACCATACTCTGGGGAAC CTAAGCCTAAGACTAAGATACCTGAAAGAAGAATAGTAGCTCAGGGCCCAGAAGAAGAAT TTGGTCGCTCTCTCATCAAACACAACACATGTGTGGTCACCACTGAAAATGGTAAATTTA CAGGGTTAGGTATATATGATAAAGTAATGATTTTACCCACACATGCTGATCCAGGGAAAC AAGTTCAGATAAATGGAATTAATGTTAATGTTAGTGACTCATATGATTTATACAATAAAG ATGGTGTTAAATTAGAAATTACAGTTATTAAGCTGGATAGGAATGAGAAATTTAGGGATA TTAGAAAATATATACCAGAGAAAGAAGATGATTATCCAGAATGTAACTTGGCACTTGTAG CTAACCAACCAGAACCCACTATAATAGGTGTTGGAGATGTAGTATCATATGGAAACATTT TATTGAGTGGAAATCAAACAGCAAGAATGCTTAAATATAACTACCCCACTAAATCAGGCT ATTGTGGTGGTGTTCTGTATAAAATTGGAAACATCCTAGGAATCCATGTGGGTGGTAATG GCAGGGATGGGTTTTCTGCAATGTTGTTGAGATCGTATTTCAATGAAACACAAGGGAAAA TAGTTGCAGCCAAGGATGTAAAGAATATTGGGTATCCAACCATCCACACACCTAGCAAAA CAAAATTACAGCCAAGTGTTTTCTTTGACGTTTTTGAAGGTACAAAGGAACCAGCAGTGT TATCTGAGAGTGATCCACGTCTAAAAACTGATTTCAAAACAGCATTATTTTCAAAATACA AGGGAAATCCTGAATGTGAGATGAATGATCATATAAAGGTGGCAATTGCCCACTACTCAG CTCAACTGATGACTCTAGATATTCAAACAAATAGTGTTTCATTGGAGGAGAGTGTGTTTG GCATCGACGGCCTGGAGGCCTTAGATCTAAATACAAGTGCAGGATTTCCATACATTAGCA TGGGTATTAAGAAGAGAGACTTAATCAACAACACAACAAAAGATTTAAGTAAATTAAAAG CTGCAATGGACAAATACGGAGTTGACCTACCCATGGTAACTTTTCTAAAAGATGAGCTTA GAAAGAAGGAAAAAATTTCTGCTGGCAAAACACGTGTAATAGAGGCCAGCAGTATTAATG ACACAATAATCTTTAGACAAACCTATGGTAACTTATTTGCAGCATTTCATAAGAATCCTG GCATTATCACTGGTTCTGCAGTTGGGTGTGACCCTGAAACCTTTTGGTCGAAGATACCTG TAATGTTAGATGGAGATTGCATAATGGCCTTTGATTACACAAATTATGATGGTAGCATAC ACCCAATTTGGTTTGAAGCCCTAAAGCAGGTATTAAATAACCTATCCTTTGATTCTACAT TAATAGATAGATTGTGCAATTCTAAGCACATTTTCAAAAACTCTTACTATGAGGTTGAAG GTGGCATCCCCTCTGGATGCTCTGGAACAAGTATTTTCAATACAATGATCAACAATATAA TAATAAGAACATTGATACTTGATGCCTATAAATACATTGATCTGGACAAACTTAAAATAA TAGCATATGGAGATGACATAATCTTTACATACAAATACCCATTAGAAATGGAAGCTATTG CTAAGGAAGGAGTCAAGTATGGCTTAACAATCACACCTGCTGACAAATCAGAGACATTTG AGAAGTTAGATTACAATAATGTTACCTTCCTTAAGAGAGGATTCAAACAGGATGCAAAGT ATCCTTTTTTAGTACACCCCACATTTCCAGTTCAGGAGATACATGAATCAATCAGATGGA CAAAGAAACCCTCACAAATGCAGGAGCATGTTCTGTCATTGTGTCACTTAATGTGGCATA ATGGACCAGAGGTTTATAAGGAGTTTGAGAGTAAAATTCGCAGTGTCAGCGCTGGACGTG CACTGTATATACCTCCTTATGACCTCCT >NODE_2_length_838_cov_1.593464 AGCTGGTTCCTGCCGAAGTTTCCCTCAGGATAGCAGTAACGTTTTCAGTTTTATGAGGTA AAGCGAATGATTAGAGGCCTTGGGGTTGAAACAACCTTAACCTATTCTCAAACTTTAAAT ATGTAAGAAGTCCTTGTTACTTAGTTGAACGTGGACATTTGAATGTATCGTTACTAGTGG GCCATTTTTGGTAAGCAGAACTGGCGATGCGGGATGAACCGAACGCGAGGTTAAGGTGCC GGAATACACGCTCATCAGACACCACAAAAGGTGTTAGTTCATCTAGACAGCAGGACGGTG GCCATGGAAGTCGGAATCCGCTAAGGAGTGTGTAACAACTCACCTGCCGAATGAACTAGC CCTGAAAATGGATGGCGCTCAAGCGTGTTACCCATACCTCGCCGTCAGCGTTGAAGTGAC GCGTTGACGAGTAGGCAGGCGTGGAGGTCAGTGAAGAAGCCTTGGCAGCGATGCTGGGTG AAACGGCCTCTAGTGCAGATCTTGGTGGTAGTAGCAAATATTCAAGTGAGATCCTTGAAG ACTGAAGTGGAGAAAGGTTCCATGGTAACAGCAGTTGGACATGGGTTAGTCGATCCTAAG AGATAGGGAAACTCCGTTTTAAAGCGGGCGATTCTTCGCCCCGCCTATCGAAAGGGAATC CGGTTAAAATTCCGGAACCAGGATGTGGATCTTTAACGGCAACGTAACTGAACTTGGAGA CGTCGGCGAGGGCCCCGGGAAGAGTTATCTTTTCTCCTTAACAGTCTACCACCCTGAAAT CGGTTTGTCCGGAGCTAGGGTTCAATGGCTGGTAGAGCGCAACACCTCCGTTGCGTCC >NODE_3_length_717_cov_0.905280 GAACTTAAGCATATCAATAAGCGGAGGAAAAGAAACCAACAGGGATTGCCTTAGTAACGG CGAGTGAAGCGGCAAAAGCTCAAATTTGAAATCTGGCACCTTCGGTGTCCGAGTTGTAAT TTGAAGAAGGTAACTTTGGAGTTGGCTCTTGTCTATGTTCCTTGGAACAGGACGTCATAG AGGGTGAGAATCCCGTATGTGACCGGCTCTGGCACCTTATGTAAAGCTCCTTCGACGAGT CGAGTTGTTTGGGAATGCAGCTCTAAATGGGAGGTAAATTTCTTCTAAAGCTAAATATTG GCCAGAGACCGATAGCGCACAAGTAGAGTGATCGAAAGATGAAAAGCACTTTGGAAAGAG AGTTAAAAAGCACGTGAAATTGTTGAAAGGGAAGCGCTTGCAATCAGACTTGGACTTGGC TGTTCAACCGGTCTTCTGACCGGCCTACTCAGTCTTGTCCAGGCCAGCATCAGTTTCGGC GGCCGGATAAAGGCCTTGGGAATGTGGCTGCCTCTTCGGGGGCAGTGTTATAGCCCAGGG TGTAATACGGCCAGCTGGGACTGAGGTCCGCGCTTCGGCTAGGATGCTGGCGTAATGGTC GTAATCCGCCCGTCTTGAAACACGGACCAAGGAGTCTAACATCTATGCGAGTGTTCGGGT GTCAAACCCCTACGCGTAATGAAAGTGAACGGAGGTGAGAACCGCAAGGTGCATCAT >NODE_4_length_651_cov_1.155709 GGGGGGAGTATGGTCGCAAGGCTGAAACTTAAAGAAATTGACGGAAGGGCACCACCAGGC GTGGAGCCTGCGGCTTAATTTGACCCAACACGGGGAAACTCACCAGGTCCAGACACAATA AGGATTGACAGATTGAGAGCTCTTTCTTGATTTTGTGGGTGGTGGTGCATGGCCGTTCTT AGTTGGTGGAGTGATTTGTCTGTTTAATTGCGATAACGAACGAGACCTTAACCTGCTAAA TAGCCAGGCCCGCTTTGGCGAGTCGCCGGCTTCTTAGAGGGACTATCGGCTCAAGCCGAT GGAAGTTTGAGGCAATAACAGGTCTGTGATGCCCTTAGATGTTCTGGGCCGCACGCGCGC TACACTGACAGAGCCAGCGAGTCTTCACCTTGGCCGGAAGGTCTGGGTAATCTTGTGAAA CTCTGTCGTGCTGGGGATAGAGCATTGCAATTATTGCTCTTCAACGAGGAATACCTAGTA AGCGTGAGTCATCAGCTCGCGTTGATTACGTCCCTGCCCTTTGTACACACCGCCCGTCGC TACTACCGATTGAATGGCTTAGTGAGGTCTCCGGATCGGCTTTGGGGAGTCGGCAACGAC ACCCTTTTGCTGAGAAGCTGATCAAACTTGGTCATTTAGAGGAAGTAAAAG >NODE_5_length_624_cov_0.923775 GCCATTGGCCGCACGCGTCCAATAGGGCAGATAGCGTCCGCTATCGTCCGACCCCTTGGC GCGATTATTGACGAACGCTGCGTCCGCGCCGTCGATCGCATTCGGCTCCCATGCCGAATA GGTGCCGTTGAAGCCGGGGTTTTGTTCCAGAACCCTCCGCATGATCGCGTTGAACTGGTC GCGCCGCGCGCCGCTCGGCGTGCTGCCAACCAGTACCGCGAAGGACTGAGCAGTCGTTCG GGCCGCATCGAATGCAACGTTCAATGCGCCCTTCACGGTGTCCGCCTCGACCGCCGCTCG ATTTTGCAGCGTATCCTTGGCCTGGCTGCTGACAATCCCGCCCACTTCGCTGCTGACATA CAGATGCGAGGTGAGCGATGAAATCGCGCTGATCGCAACAAGAATTATGACAGTTATTCC CAAACACAGCCCGGAGATTGTCGCGATCTTTCGCTGTAAGGAACGAATCGAGTCGAGGCG TTTCATCAAATTCATTGCGTCTTCCAATTTGCGACGAATTAACGCCAAGCGACAGGAGAC GCGGCACGACAAAGCGAAACGTCAGTTCTATCATAGGAAATTCGACGACGGATCTTCGGT ACGGCCGAACAATATTTGCCCCTC >NODE_6_length_603_cov_1.162264 CTTTTATTTCACTGCATCCGACCCGAATGTTCCGCGTCATCGGTTGATGTATCTGGTGAC CGAAGCGGCATTTTCACCGCGCTTCTTCACCGAATTGAAGGCCAAATGGGAGGTGGCACG GCGCGCAGGTCGTGCGGGTGGCGCATTCGTCACGATCGATAGTTGGCGTGATAGCGCCGG CACGCTCTGGAAGCCCAACACCCTCATTGATGTCGACGTCCCGGGCCTGCGCGGCGAGGG CCAGATGTGCATCTCCGAGGTGACTTTTCACCGATCGAGCGAACGCGGGACCGTTGCGGA CTTGTTCGTCATGCCACCATCGGCATTCGCTCCGGAACCGATCAGTCTGACCAATCTCAA CACGGCAGATATTGCGCCAGATTCGACGTCGCAATTGGTGCTGCCATGATGTCGCGAATT CTCAATCTGATCGGTCGCGGTCGCCTCACGCTTGTGAAGGACGACAAGGACGTTCAGCGC CTTCAAATATCGGAAGGGAACACCGGGAGCGACGAAGGCGAAAGCCTTACGGACGATATC GTTATGATTGGCCTGTTCGGCTTATCGAGCAATGCACCGGAAAAAACCGAGGTGGTGCTG CTT >NODE_7_length_554_cov_0.796258 GCGACCTTCGACAGCCGTGTGGTGTTCCAGCCGACCAGCGCAACCCCGTTTCGCGGCACG CTCAACAGTTACAATCTGAGCTCTGACGTCACCGCGCACAGCCAGATATTGGGCATGGAT GCGCTGAGCTTTATCGGGATCTTCTACAACTATCTCGACGGGCAGAATTACTCGTTCAAC AAGACGCCTGCAGGCCGCAACGGCATTGGCGCGCCGACCCAGACGGTGTTCGGCGGTGTG CGCAATATGGGGGTTCGCGCCCGCGAGGAATTGGCGCTGACGCAGGACCTGCAGCTGATT CTTGGCATTGGTTATGAGCATTCGAAGATCGACATGCGCCAGACGAACTACGCCTACCCT GTCGGTGCCAATCCGACGCTGACCAATATCCCGGCGATCCGCGATTTCGACAATGTCGCG CCCGAGGCGTCGCTGGTATGGCAGGCCGCGCCCGCAGTGCGGCTGCACGCCCGTGTCGGT ACGGCCGACGGTATTCCGCAGTCAGGCCAGCTTTTCGTCACGACGGCAGGCGTCGCCGGC AACAATATCGACCT >NODE_8_length_548_cov_1.627368 GTCCGGGTAATAAGACGACGTCGCTATGGCCTCTCCGGAAGGCGGTGTATGTGCCAAGCG ATGTTTCATTAATGTCACGGACAGGTCGCTGAGGTGGTTTTCGTTGGGGGCGCCGTCTTT GGGGGAGATTGCGTCAATTTTGACTGTCAGATCAGCGACTAGATTTTAGGCAGATTAGTG TGCCACCTGAATCAATAGAACAATATCAGTTATGGCGGTGCAGTATACTATACAATGGGT TGGGCGCATCTGCATGTCTCATGCTGTCATGGCAATCGACCTCTAGTCTGGGGTGATCCG AGGCGCTTCTCTTATTAGGAATAGTGCAGGACCCGAAACCGCCAAAGGGAAAGGGTGAGC GAGGTAGCAGCGTAATAATTAGCGGTGGGCAGGAAATGCTTAGTGTTCTGTCTCAAGACC TAAGCGACAGCGTGACCTTGTTTCACTTACCTCTGAAGCTCTTCGACGTTATAGATATTG GCATCCCTAAACAACGAGTACCTTGTGCTACGACAGAAAAGTGACCTGAAAAAAAAAAAA AAAAAAAA >NODE_9_length_536_cov_2.790497 GTGTACAGGTGGTGCATGGCTGTCGTCAGCTCGTGTCGTGAGATGTTTGGTCAAGTCCTA TAACGAGCGAAACCCTCGTTTTGTGTTGCTGAGACATGCGCCTAAGGAGAAAGTCTTTGC AACCGAAGTGAGCCGAGGAGCCGAGTGACGTGCCAGCGCTACTAATTGAGTGCCAGCACG TAGCTGTGCTGTCAGTAAGAAGGGAGCCGGCGCCTTTCAAAGCACTTTCTAGTGTGCGCT TTAGAAAGATTGCAGCTAGCGCGCTTTACTAATAACACAGAAAGGGCTTTTCTCGCTTGT TTAGTAAAGTCAAGTTTTTGGCCTTATCTTGCAGGTGACGACGACGTCGAGTTGGCGGCG GAGAAAGACTCGGCATTCAGGCGAGCCGCCCGGTGGTGTGGTACGTAGTGGGTTTAGTAC GCCCCGCCAAAACGGCTCCGAAACAAACAAAAAGGTGCGTGCCGCACTCACGAGGGACTG CCAGTGATATACTGGAGGAAGGTGGGGATGACGTCAAGTCCGCATGGCCCTTATGG >NODE_10_length_535_cov_1.333333 ATCAACTAGAGGCTGTTCACCTTGGAGACCTGCTGCGGTTATGAGTACGACCTCGCGTGA AAATCATTCCTTCCGGCGGATTTTCAAGGGTCGTCGAGAGCGCACCGGACAGCACAAAGG TGTGCTGCTCTACCTGCCATTAAACCCTAGCTCCGGACAAACCGATTTCAGGGTGATAGA CAGTTAAGAAGAAAAGAGAACTCTTCCCGGGGCCCCCGCCGACGTCTCCACCTTCAGTTG CGTTGCCGCGGATAATCCACATCGAGGTACCGGAATATTAACCGGTTTCCCTTTCGCCAG GCGGCGCCCGAGAGCGCACTTTAAAACGGAGTTTCCCTATGGCTTAGGATCGACTAACCC GTGTCCAACTGCTGTTCACACGGAACCTTTCCCCACTTCAGTCCTCAAAGTTCTCATTTG AGTATTTGCTACTACCACCAAGATCTGCACTAGAGGCCGTTCTACCCGGGGTCACCCCCA AGGCTTCGTCACGGGCCTCCACGCCTGCCTACTCGCTAGGGCATCGTTTCTACCC >NODE_11_length_533_cov_1.019565 GGTCGGCTCCGTGGTTTCGACCGTGGCCCCCCGTCCGTCGGGATAGAGGAGCGCAATTTG ATAGACCTCGCGCTCTTCTGCCAGCGGCGCATCGACGCCGTCGACCCAGCGCAGGCCCGC CCTGCTGCGCCGCACCCACTGCACCGTGACATCCCCATTCCCCACTTCGGACCACGTCAG ATGCGTTGGCGAAAGCGGCAAGATCGAGGTTCCTGCAAGCGTGAGCGCGACTTCTACCGG CCCCTCCACGTCCCCGGGTCCAGACGCCATGATGCGCAGGTCTCCTCCCTGCGCGGTCCC AGGCAGGTCGAGCGTTGCGCTTGCGTCCGGCTCGACCAGCACGAAGCGATCGCCCGCGCG CTGCGTGCCGATCGCACTCTCGGTCGCGCGCCGCCCGCGGAGCAGCACCGCCAGTCGCCA CCGTGTCGCGGTAAGCTGCGTGGCTTCGCCGACTTGCAACAGCTCGTTCCCCACCAGGGC TGTATTCAGCCCAGCATCGAGCGCCCCAGCATCGGCTCCAACCAGTGTCATGC >NODE_12_length_530_cov_1.921225 TGCTTATACTTAGACATGCATGGCTTAATCTTTGAGACAAGCATATGACTACTGGCAGAA TCAACCAGGTAGTCATATGCTTGTCTCAAAGATTAAGCCATGCATGTCTAAGTATAAGCA ACTATACGGTGAAACTGCGAATGGCTCATTAAATCAGTTATCGTTTATTTGATAGTACCT TACTACATGGATAACCGTGGTAATTCTAGAGCTAATACATGCTAAAAACCTCGACTTCGG AAGGGGTGTATTTATTAGATAAAAAACCAATGCCCTTCGGGGCTCCTTGGTGAATCATAA TAACTTAACGAATCGCATGGCCTTGCGCCGGCGATGGTTCATTCAAATTTCTGCCCTATC AACTTTCGATGGTAGGATAGTGGCCTACCATGGTATCAACGGGTAACGGGGAATTAGGGT TCGACTCCGGAGAGGGAGCCTGAGAAACGGCTACCACATCCAAGGAAGGCAGCAGGCGCG CAAATTACCCAATCCCGACACGGGGAGGTAGTGACAATAAATACTGATAC >NODE_13_length_501_cov_1.207944 GACCTGGGGATCGCGGACATAGCGTCCGCGCAGACCATTGCCGATCTTCTGCGCCAACTC GGTTGAGGACAGGCCCATGGCCGAAATCGTTCCCAGCAGTGGCAGCGAAAGCGTGCCGTC CGCCGCGACCTGAACCGTACGGCTCAACTCCGCTACACCATAGACATCGATCGTAACTTT ATCGAGCGGGCCGATCAGATAGGAACGTTGCTGGAGCAGAAGGTCCTTACGCGTAGGCGG CGGGAGTTCGCTCGACGAAACGAGTTTAAGGTCAGGGCGGCCGACAAACTTGGGAGTGGC GCAGCCCCCCAAAAGCATTAGCGCGAGCGAAAGGATCAACGCAGAAGATCGCATGAATTT TCCTGAAAATGGCCCTGGTTGCGCTATCGTTTTGATGAAATTATTATCTGCGCCTCGTTG CCTTATGCCCCGACATCCTATTCCAAAGCAAGACGTGAAACGATGGCGCTTGTCGGTTAT GGCGGGTAGGCGGGCATAAGC >NODE_14_length_500_cov_0.721311 GGCCTCAGGTGCGTCCATGCCGCGCCTGAGGCCCGCAGTGGCATTGATCTCACGCGAGTT TAGGTACGTCCATGCTGTTAAGCCGGTTTTAAAGGGCTACGGGCCAATTCTGTCCATGCG TCTCTCGCTCAGGGCTAGCGCCTGATAGACGTCACGTTAGATTGGGGTAGCTGAGCTCTT AGGCGCTGATTTCCATAGTCAGGTCGAATATCTTGTTGTCTGCTTCTGCCAACAACGATA GCGCTACGTCTCGCTCAGCCTTCATCAATGCGAGATCAGCCTTTGTAGAACGGTTCTGTT TACGCCTTCTGGAGTCAATCTTCCGCTGAGAATCGGGAAGGGTTGAATGGGTTTCGCGCG AGTGCTTTTGAATTTCATCAATGAGGAGCGGGTACCTGCTTTTCTTTAAGGCTGATGGGT CGCATCCCGCTTCGCGGGCAACGTTATTCTGCGAAATAGATGATCCTTTCGGAAGGACTA CGGGCACACCTGATTTCAAA >NODE_15_length_484_cov_1.871046 TCCTATTTCATTATTCCATGCTAATGTATTCGAGCATAGGCCTGCCTGGAGCACTCTAAT TTTTTCAAAGTAAAAGTCCTGTTTCCCCGCCACGCCCAGTGAAGGGCATGAGGTTCCCCA GAAGGAAAGGCCCGGCCGGACCAGTACACGCGGTGAGGCGGACCGGCCAGCCAGGCCCAA GGTTCAACTACGAGCTTTTTAACTGCAACAACTTTAATATACGCTATTGGAGCTGGAATT ACCGCGGCTGCTGGCACCAGACTTGCCCTCCAATGGATCCTCGTTAAGGGATTTAGATTG TACTCATTCCAATTACCAGACTCGTGAGAGCCCGGTATTGTTATTTATTGTCACTACCTC CCCGTGTCAGGATTGGGTAATTTGCGCGCCTGCTGCCTTCCTTGGATGTGGTAGCCGTTT CTCAGGCTCCCTCTCCGGAATCGAACCCTAATTCTCCGTCACCCGTCACCACCATAGCTG TCTC >NODE_16_length_477_cov_1.576733 GCCCGGTCGGACAGCCGCAAAAACCAATTATCTGAAACCGCGGTTCCTCTCGTACTAAGC GGTATTACCATTGGGACGACGGTCATCAGTAGGGTAAAACTAACCTGTCTCACGACGGTC TAAACCCAGCTCACGTTCCCTATTAGTGGGTGAACAATCCAACGCTTACCGAATTCTGCT TCGGTATGATAGGAAGAGCCGACATCGAAGGATCAAAAAGCAACGTCGCTATGAACGCTT GGCTGCCACAAGCCAGTTATCCCTGTGGTAACTTTTCTGGCACCTCTAGCCTCAAATTCC GAGGGACTAAAGGATCGATAGGCCACACTTTCATGGTTTGTATTCACACTGAAAATCAAA ATCAAGGGGACTTTTACCCTTTTGTTCTACTCGAGATTTTGATTTTCAGTGTGAATACAA ACCATGAAATTGTGGCCTATCGATCCTTTAGTCCCGCGGAATTTGAGGCTAGAGGTG >NODE_17_length_471_cov_0.964824 GCGCGGCCAAGCTCACCCTCTGCTGCCACCCCGTCGCCAATCGCCAGGAAGCTGCGCGCG AGCATCGCATGGGCCAGGCCCCAGCTTGGATCGGCCTTGATCGCGGCTTGGGCGTGGCTG CGCGCGGCGCTGTAATTGCCGGCCTTCAGCAAGCGCACGCTGAGCGCGAGTTCGGTGCGC GCGGTCGCGGCATCGGCATGGGCCGGGCCAGTCGCCGCGATAACCAGCGCCGCACTGATC GCGGTCGCGGCGAGGGTGCCGATGGCGATCGAAAGGGATTTACGCATGGAGATCGTAGCT CTTTAGCAAATCGTACAGGGTCGGTCGGCTGACCCCTAGCAGCTTGGCGGTATTCGAAAT GTTACCCTCGGCGCGGGCGAGTGCTTGCGCGATCGCCGAGCGATCGGCGCTTTCGCGCGC GGCGCGCAGGTTGAGCGGCAATTCGGCCCCCCCTTCCGCCAGATCGAGATC >NODE_18_length_458_cov_0.800000 TCTATACCTATGCCGGGCTGAAGAGCGACGCGGATCTCCGCATTTCCGCCAATCAGGAAA AGCTCGCTTTGGTCGGCGACATGTTCACCGCGTTTGGCGAAGCGACGTCGTGGATGGCAC CCGAGATTCTCACGCTCGGCAAAGCCAAAATCGACGGCTTCATCGCGGCGAACCGGACTC TCGCGACGCGGTTCGATTTCTTTCTAGCCGACACGCTGCGGCAAGCCCCGCACACGCTGT CCCCCGAGGGCGAAATTCTGCTTGCAGGCGCGGGGGCACCGCTTTCGGGGCCGGGCACGA TCCGCGAGCAGCTCGTCGGGTCGGATATTCCCTGGCCGACGATCACCCTGTCGACCGGCA AACAGGTCCGCCTCGACGACCAGGCCTATACCTTGAACCGCGACGCGCCCGCGCGCGCCG ATCGCAAGGCGGTGTTCGACACCTTCTGGGGCGAATAT >NODE_19_length_457_cov_1.002604 TTTGCACCGGCTACTGGCCACCGACGCGGCGCTGTTCGATACGAGCCTTGACGCTTTTGC GGTACAATGTCCGGGCAACAAGCAATATCCAGGCTGGCGTGATAGCAATGGGTATTGTTC GAAGCCAGAAACGGGGCAAGCGCCAATAATAGGCGATCGACATTGGGATCGCCTCTTTCC AGTATTTCATGCTGGCCCCCTTCAGCTTTGCTCCAAGAAAGTGTGTGCGCACGTAGAAGC TCGCAACGTCACTCATTGCACGTCTATAGGCCCGGTGGCCCCTGCCAAGGGTGTCACCGA AAGCCAGGTCGTAGCCAACGATATCCACCCGGGTGCGTGCAAATTCGTCACGGGCAAGGA AGGATTCATTGCCCAATCGACATCCCACCAGCGTATCCGGCACGCACAGCCAAATGGACT CTTCGCTCAACATTTTGGCTATGAGATACGTGTGCAC >NODE_20_length_450_cov_1.042440 GCACAAGAATGCACCGCCTGGGACACGCACGACTGTCAAGGCGGGGAGCGGGCCCGCGCC TGCAGTGAGCCATGCTTTTGAGCCGGTGCACGGCGGATGAGATCGTGACGATCTCTTTCG TCCTCGAACCGAGAATGGAGGCCGAAAATGGCATTGCCTAACAGCGGTCTTCTGCCGGCG ACATTCCGCGGCGTTCCATTTATCGTCACCAATGACGAAATTGGCGGCGGGCGACGCCAG GTTGTCCACCAATATCCAGGGCGCGACGACCCATGGACGGAGGATATGGGTCGCGAAGCC CGTCGCTTTCGCTTTCGCGGCTTCATTTTGGACGGATCTATCCGATTTGCGGGCGGCCCT GTGCAGTTGCAGCGTGCTTTGCTTATTGCAGCGCTCGAGCGGTCGGGCGCGGGGATGCTC ACGCATCCAACGCTCGGGATCCTTCAGGTG >NODE_21_length_450_cov_0.816976 GGCGTGGGCAGCGTGCGATAGCCGAAATGGGCGGCTGCGCGGTCGGCGGCGGTTGGGGGA TTCGCGGCGACGTTCAGGCACCAGCGCGGCACCGCGCCGACCACGGCCGGGACACGCGCG CGTAGCTCCACCAGCCACCGGTTCATATCGGCCAAAGCGGCGTCGGGGCTGGCATAAGCC TGACGCGGGTCGCGCCACAAAGCGGAGAAGCGCGCGCCGGTAGTGGCCCCCGCTATCCCC AGCCGCGCGAACAGGGCATCGGCGCGGGCGGCGCAGCAGCGGCGTTCGGCCTCCAGCCGG GTCGCCGCCGCGCGCGGATCGACGTCATTGCCGAGCTTGCGGCGGAGCAAGAGCGTGGCG TGCGCCGGGGTGCGCGGCGGCCCCTTGGCGCGGGGATCGACTGCGAAGCGGCGCACGATC TCGAGGTCGATTGCCAGCCCGGCGCGGGCG >NODE_22_length_447_cov_0.815508 CCGATACGGACGGTGCCGACAGCAAGCTGGCCATCGTGCCGCCATCGACAGATACCGCGA TGCTCGCCGAATGGAAGGGATCTGAGGCGATCCGCTCCTGGGCCCGCATCCCTCCTCCCT TGGCGGCCATCGACCTCCGTCCCTACCTGTTCGTCACCAAGGACCGGAAGGACTATTTCG GCCCAGCCTCAGTGCTCGGTCGTCTCGCAGCGGTCGTCGAGAAGCTCCTCGGGTCGAAAC TATCGGTGCAAGCCTACGAGGGTGAACTGAAGCAGCTGGTGCCGGCCGAAGCCGCTCAGG TCTTCGAGGAGCTGAGAGGTCGCATCATGGGCGGCGACGCCTTCGACACCGCGCCCCCGG GCGTTGACGGTATCGGCGTCCTCGTCCGCGCCCACCCGACGTTGCAGGCGAACTTGCTCG ACTTGCTGGAGGCTCTCCCCGCGGATC >NODE_23_length_434_cov_1.041551 AGGCGTGGGGCGGCTAACCGCGCTGGCCTTCCGGGCGTCGGTCGATCGGCCGGAGCGCTT TCGCCGATCCCGCGACGTCGGCGCCCATCTCGGTCTCACGCCCCGGCGGTACCAGTCCGG TGATACCGACATCCAGGGACGCATTAGCCGATGCGGTGCGGTAACGTGCTTGCGCGCGCC GCGCTCTACGAGGCAGCACACACGCTGCTGAGGCGCTGCCAGAAATGGTCGACGCTCGAA GCCTGGGGGATGCGCGTCGCCCAACGCCGCGGCATGGCGAAGGCGCGTGTCGCCGTGGCG TGCAAGCTGGCCGTCATCCTACATCGCATGTGGCGATCACGCAGAGTTCCGCTTGGGCAA AGCGCCAGCGCTTGCGGTAGCATGAGGAGACACGAACCAGATCTCGCCTGAAGAGGCGGG TAGCGGTCGTTCCC >NODE_24_length_434_cov_0.659280 CTTTCGGGATGCCGGTTTCGCGCTCGACCAGGAGGACGTCCTCGGCGTGCACTGGCTTGA GATCGCGCAGACGCTCGTAGATCGACGACTGGGAACGGTTCACCAACCGGGCGTATGCCG TCTGCGTTCCGACGGCGCGGACCGCAGCTGCGAGCGGTGTGTCTATCGTCGATTCGATAC CCATGGCGTTTGACTATCGGTATTCCGATAGGTGGTCAATCGGAAAGTGCTTATGCTTGC GCTATTGGTTTTCCGTTAGGTTCGAGCCGTGATTGTCGGGGCCAGAATCGAAGAGCGTTT GGTAGCTGTGCAGATGTCGCAGTCGGCGCTCGCGCGTCGTGTGAAGCTCGCGCAAAGCAC CATCAACGGACTCGTAAAAGGCGAGCAGCGATCCACGACTAAGCTGCACGAGATTGCTCG AGCACTCAAAACGA >NODE_25_length_424_cov_0.877493 GCCTTGCCTTGCAGCGTCGGGAAATCGACCCCGATCGAGCCGCCAATGTCGAGTCGCACG ATCGCGGCGGCGACTGCGCGCGCGGCGGCGAGCGCGAGCGGATCGAGCGGGGGATAGCCA TCGACGTCGAACAGCGTCATCGCGGGCGTCGGGCTCATGCGGAGCGCGCCGCCGACCGGG CCGCTGAAGACGATGTCGCCGGTCAGCGCTTCCTCGAGCACCTCCGACCAGCCCGCCGCT TCGAGATGATCGGGCTCATGCGCGTGGCAGATCCGCACCGGCACGCCGGTCGCGGTAATG CGCTCGAGCAGCGTCGGCCCGGCGCGTTCGGGCCCCTCGGCGGGGGCGCAGCGCGGGAGC TTGGTGCGGCCGGGCTCGGGGATCGCCTCGCGCACCAGCTCGACCGTTAGCGCGGCGCCT TGGG >NODE_26_length_420_cov_1.429395 CCTGGGAAGAGTTCTCTTTTCTTCTTAACGGCCCGTCACCCTGAAATCGGTTTGTCCGGA GCTAGGGTTTAATGGCCGGTAGAGTCCCACACCTTTGTGGGATCCGGTGCGCCCCCGACG TCCCTTGAAAATTCGCTGGAAGGAATAGTTTTCACGCCAGGTCGTACTCATAACCGCAGC AGGTCTCCAAGGTGAAAAGCCTCTAGTTGATAGAACAAATCTAGGTAACACGGGCTTACG CTCAGCAGCTCGTAACAACAAGGCTACTCGACTGCTTACACGACCCGGTTACACGTCTAA GTCGTCTGCAAAGGATTCATCCCAGCGCGCTGTCAAATTGCTATCCGCCAATTACCTCTC CCGACTTCTACGAGAGAGGAGTTATGGCCTGCTAAGGTCCGGGGCCGAAGCCTATTCGTA >NODE_27_length_410_cov_1.154303 GGATGGGCCCGGGGTCCGTCGTCCTGTTTTTCATGATGGATGATGTGCAAGCGGCTCATG GAGGCTTCCCCCAGGGTTCCAACGGCTGCGCGCGCCTTGAGACACGCGATACGCCTGCAA CCGGGGATCAGCTCGCGCTCGCGAATGCCCTGTATTTCCAGCAACCAGTGACCGCCTTGG TCTACGCCGTCGCACCAACGCAGAATGTCATCGGCCTGACGATCGCCGGGCTTTCGACGG CCAGCACCGCGACCAAAGCCGATATTGCGGCAGCCGTTGCGAATGCGCTACTGGTCGCAG GGCGGCCAGGCGGTGTCACGAATATATCAGCGATCGAGGCGGCGATCGCGGCCGTGGCAC TGACGGGCGGCTTCGTGCTGACCAATGTCTCAGCATCGGCCGGCACAGTC >NODE_28_length_406_cov_1.126126 GTTTACTGTTAAGACTACAACGGTATCTGATCGTTTTCGATCCCCTAACCTTCGTTCTTG ATTAATGAAAACATCCTTGGCAAATGCTTTCGCAATAGTCGGTCTTGAGTCAATCTAAGA ATTTCACCTCTAGCGACTCAATACCAATGCCCCCAACTATCCCTATTAATCATTACGGCG ATCCTAGAAACCAACAAAATAGGACCGCACGTCCTATTCTATTATTCCATGCTAATGTAT TCGGGCAAATGCCTGCTTTGAACACTCTAATTTTCTCAAGGTAAAAGTCCTGGTTCCCCG ACGCGCCCAGTGAAGGGTACGCCGGGGAACCAGGAATTTTAACGTGAGAAAATTAGAGTG TTCAAAGCAGGCATTTTCCCGAATACAATAGCATGGAATAAAATAA >NODE_29_length_403_cov_0.930303 TTGGAGGAAGCGTCCAAGTTGCGCGCGGAAGCCGAGGCACAGCTTGCCGAGGCCAAGGCG CGTAACGCCGCCAGCGCTGGCGATGCCGCCGCTATCGTCGCCCATGCCGAAGCCGAGGCG GCAGCTATGCTGGCCAAGGCTGAAGCCGATCTCACCGATTTGATCGCACGCCGTCAGACG ATGGCCGAAGACAAGATTGCCGGTGCCGAACGCACCGCCATTGCCGAGGTCCGCGCGCGC GCAGCCGATGCTGCAACCCGCGCTGCCGCGACGATCATCGCCCAGCGTCACGGTGCCGAA GCGGACAAGACCCTGGTCGACCGGACCATCGCTGGGTTGGGCAAGCTCAACTGACCGTAA TGCACCCGTTGTCGCGGGTGCATTTCGTTTCGCCACTTATCGG >NODE_30_length_400_cov_0.941896 GTGGGGGACGATGATCCAACTGAAGCGTCAACTGTACAAAAGGCCGAGTCCTGATCATGC GACAGCGTGCCATTGTGTTCGACCTGGGAGTCCTTGAGCATCAGATGGCGAACAGGCACT GAACTCAGCCCTGAAGCACATGTGGCGCTCTGGCAAGCGTAGTCAGCGACCTGGCCGACC GTGATCAAGCCGGACAGGCCAGCGGTAATCTGATTGCCCGATATGCCATGAACGTGTGGG TGAAACCAATACAGTCCCGAAGGGTGCCCTGATGGGACGTCGTACTCGTAGTCAACAGCA TCATATTGAACGGTGCCATGCAAATGCTGGGACGCCGCAGGAGTGCCGTTGTTTGAATTG AATGCGTAGACGAAGACGTTGTCGCCCCACACGCTAGAGC >NODE_31_length_391_cov_0.871069 GTGAAAAGGTCGCGTCGAGCTGCACCGCCCAGCGGCCATTGTGGAATTTCGAAAGGTCCA GCTCGACCCGGGCGATTGGGGTGGAGGACGGCGAATCACCGCGTACCGATACCAGGATCG GCAGCGGAGTGTCGGTCAGCACGTCGGTAACAAAGACCATGACTGCTCTCCCATCAACTT TGGTGGTCGCTTGCGACTCTCCCGGAGGTCGAGTCGGATTTCGCTTCCACGTATCAAAAG CTATTCCTACTACGGTACTAGGCAATAGAGCTGCGCCAGAGCGTATGCCGGTTGCGCCAG ATCGATAGTCTGTCCCGAAGTGCGGGCAATTGGACGCAGGGAAATCTATCTGGGCGCTAA GCTCGGCTATATCGCCGCAGCCGGTGCGTCC >NODE_32_length_390_cov_0.728707 CGATCAGGTCGATTTCGAAGCCGACCTCCAGAAAGCGCGCGAACGTGGCCGCCGTCATCC AACCGGCGGTGCCGCCGCCGGCAATGACGATCCGGATCGGTCTGGAGCCATTCGGCTCCG CAGGATTGGCCATGGTCCGCGTCCCCGCTTACTCAATTTCAGGTACCGGAAGGGCGAGCG GTGAGGAGCCCCCACCGCTCGCCGATGGCATCGTCGTTCAGAACTTGTACGTGACGCCCA GATAATAGTCCCGTCCGTAGCGCTGATAATCGATCACCAGGCGCGGGTCGACATTCTGAT AGGTCACGAACGGCCGGTCGGTGAGGTTCTTCGCCTGAGCGAGGATCGCGACGCCCTTGA GGAAGCCCTCCTGGAATTCATAACCGATCT >NODE_33_length_389_cov_0.727848 GCCTCGCGATCGAACGGTCGCTCAATTACGGCGATTATAGCGTGCCGCTCCACGACGCGC TGGCCGACATGGTCGGCCTCGGCACCGATAAGGGCCTGCGCGATTTCTGGCAGCCGACCG TGGAGCTGCTCAATCTGCTCGACAAGGGACCGTGCCTCGCCATCGCCGAGCCGATGGTCG AGCGCGTGACCTTCGGCACCTGGGCGCGGATGAAGGGTAGCGAGATCTCGCGCCAGGTGC TGCAGGTCGTCACCGGACAACATCCCGCGACCCGCGCATCGATGGCGCAGGCTGCGGCGA ACTGGGTGCATCCGTTGTTGCGCTTCCGCGGCAACGTGCCGGCCGAGGCGGCCGATGCCG ACGACATGCTTCAGGCGGCTGAGTGATGC >NODE_34_length_385_cov_0.983974 CCTACATGCTTAGTAGCTTTCGCTGTTTCTCCGCTTACATCGAGACCGATTCACACAAGC ATCGCACTGGTATCAACACCCAGGCGAACCAACTCGAGCGCCGTGACAAATCTAAGCAAC CAGTTTCTATGCTGCCTTCGTCGTCGATGGTCGAAGAACGCGCACGTTATGATTCTGACG TGCTGCTCGTCTGTGCTCTTCGTAGTAGCTCGTGGGAGCCAGAAGACCGGTAACCTTCTT CCACAGCAAGTTCGCCATGTAAGCCTTCCAACATGCTGGGCAATCGGCGTGCTTGACGTC GACGTGTTCTGCTTCAGCCTCATTCCAGAGGTCTAGAGTGAGTCTTAGTAAGTCTGTGTT AGGAGCGAGCGATGACATTTTTGGG >NODE_35_length_384_cov_6.430868 TCCCGAACCCGTCGGCTGTCGGCGGACTGCTCGAGCTGCTCCCGCGGCGAGAGCGGGTCG CCGCGTGCCGGCCGGGGGACGGACTGGGAACGACCGCTTCGGCGGTCTTCCCCGGGCGTC GAACAGTCGACTCAGAACTGGTACGGACAAGGGGAATCCGACTGTTTAATTAAAACAAAG CATTGCGATGGTCCCTGCGGATGCTTACGCAATGTGATTTCTGCCCAGTGCTCTGAATGT CAAAGTGAAGAAATTCAACCAAGCGCGGGTAAACGGCGGGAGTAACTATGACTCTCTTAA GGTAGCCAAATGCCTCGTCATCTAATTAGTGACGCGCATGAATGGATTAACGAGATTCCC ACTGTCCCTGTCTACTATCCAGCG >NODE_36_length_381_cov_1.493506 GAGGAACTTTGCGGCCTTATGGTCGAGGCGGATTTGCGACGGAACCGCCAAGGTTATTCT TTCTGATGCGCGTACTCGTCACTGGTGCCACCGGATTTACCGGGAGGCACCTGATAAACG TGCTGCACGCGCGGGGCGACGAGCCGTTTGCGTTGCTCGCCGATCTACGGGATGCCGGGG GGGTCGCAGCCGAAATCGCTTCCTTGCGCCCTAATGCGGTAATCCACCTTGCTGCCATGG CTTTCGTGGCCACTAGCGATTTCGATCCATTTTACGCCATTAACCAGGTTGGATCGTTCC ATCTGCTTGATGCACTTGCCCGACATGTCCCGGGTATTCCTGTATTGCTCGCCAGCAGTG CGCAGGTTTACTTTTCTGGTT >NODE_37_length_378_cov_1.593443 CTTCAAAGGATGGCTGCTTCCAAGCCCACCTCCTGGTTGTCATCGCTCGATCACTTCCTT TTCCACTAAGTGATTGCTTAGGGACCTTAGCGTACGATCTGGGCTGTTTCCCTCTCGACT TTGGATCTTAGCACCCTAAAAGTCTGTCTGTACAAACGATCTAGGCCTGTATTCGGAGTT TCCCTGGGGTTGGTAAGGCGAAATGGGGCCACCCTAGCCCATTGAGTGCTCTACCTCGGG CCATCGACATCATACGCTCTACTGAAATAGATTTCGCGGAAAACCAGCTATATCCGATCT TGGTAGGCCTTTCACCCCTCGCCACAAGTCATCCCCGTATTTTGCCACATACGAGGGAAA GGTGAAAAGAACCCTATT >NODE_38_length_378_cov_1.514754 GGGGGAAGACCCCGGGTAGGGCAAAAGACTGAGAACAGCTGGCTCAAGGCCGGCTGGCCC GCGGCAAAGGCCGGCTGAGGAGCAGCCGGCTGGAGTCGTGGCCGGCTGCCTTGGGAGCCG GCTGGTTCAAGGTCCACGCTGGTCTGGCCATAGCCATCTGCGCTATGGCTAGGCCGGCTT CAACTTGTCATGTCCGGCTTTGTTTGTCTCTCCCCTGACCGGCTCGAAGCTGGTGAGCCT TGCAGGAGAAGGAACTGGAAAGGTGATCCGGCTTCCAAAGTCCACGATGATCTCATCTCC GTAAAGTACGGGGCACTGTAGAGCAACAGTGCCTCCGCCGGACACGCCATCATGGCTCAC GCCGCGCCGTACGGCTAC >NODE_39_length_378_cov_1.009836 GCCGCTGACCACGTTGCAGCTGTCGGTCGTGCAATCGTTGTTGTCGCTGCACGCTGCCGG ACAAATGGGTCCGATGAAATTTCCGAACGCGTATGGCCTGAGATCCGTAAAGGTGGCGAG CACCGCCTTGGTCGCCGTATCGATGATGTTCACGGCAGACGGAGCGTCGGACTTGGCAGC AAAAAGTTTCGTACCGTCGGGACTGAATGCAAGACCCGTGTCGGCTTTGACGGGGATCGA ATCGACGACGGTGTTGGTCGCGATGTCGATGATGGCGATGTAACTGTCCGAACCATGACC GACATAGACCCGGCGCCTCTTGCGATCAATCATGCCGGCAACCGGGTCTATGTCGGTCAT GGTTCGGACAGTTACATC >NODE_40_length_378_cov_1.009836 TCATAGATCAGCGTGGCGTTGGCGGTGTTGCTGAGGCCAGTCAGCGCGAACTGATCGACA TTGGGGTCGCCGCCATTGTTGAAGCCAACGTCACCCTTCACATACGTGAAGCTGCCCGAA ACACCGATGCCGGTCTGGCCGAAGAAATATTGGCCGGCGATTTCGAAGCCGTAAATCTCC GCATCCTTGTTGTTGATCGGGCGCGAGATGGTGAAGTTGTACAGGGGATCGGACGACGAA CCGTTGATGTCGACCGCTGACAGGATCTGGTTGACGAAGGCCTGGTCGACCGTCTTGGTG ACCGAGCTGTAATGCGCGTTGAACTGCGTCGCCGCCGCCGCTGCGCCATCCCGCTGGATC AGCGCGGAATAGGTGAAC >NODE_41_length_377_cov_0.786184 TCCCTACGCATTGTGAAATTGCAATTCGTCAGCTCGACCCCAGGACTTCTACCTGGAGCC GGTCGCCAACCTGCTAAGGTTCAGGGCCAAAGGCCTATTCGTATCCGACTACGATGTGTA GGGGGAAATCGTCCCTTTCTGGCATGGATTCTGACTTAGAGGCGTTCAGCCATAATCCAG CAGATGGTAGCTTCGCGGCACTGCCCGGTCGGACAGCCGCAAAAACCAATTATCTGAAAC CGCGGTTCCTCTCGTACTAAGCGGTTTTACCCTACTGATGAATGTCGTCCCAATGGTAAT ACCGCTTAGTACGAGAGGACCCGCGGTTTCAGATAATTGGTTTTTGCGGCTGTCCGACCG GGCAGTGCCGCGAAGCT >NODE_42_length_377_cov_0.756579 GTATTATTATAGACACAGATTGTTTCGTAATGTTACAAGCCTTGTAGAATTTACCGATAC GTTGCTTGTAGTTGTTGAAGAAGATTTTGCCCCGCGGATTTTGCGGTCCGGGAGCGTCAG AACAGACGGCGCAGCGACAGGCTGACGGTGCGACCAAGCGGATCGAGTAGGTCCGGCTGG TACAGCAGCGGCGTGGCCCCATTTGCGTCGCGAACGGTCTGGCGGGTGTCGAGCATATTG CCGATCGCCAGGCTGACCCGCGTTGCCCGCGCCCAGGCTTGACCCGGAAAGCGTTGTTCA AGATTGGCGAAGATCCGCAGATCGAAGGTCGCCAGCGCCGAGAAATGCAGCGATCCGGCC GCGTCTGCGGTGGTGGT >NODE_43_length_373_cov_0.740000 GCTCATCGTCGTCAGGGCATCGAGGTAGAAGCCGTTCTTGCGGGCGGCGAGGTGCTCTTT CGCGGGCAGGTCCAGCGTGCGGCCCCCAAGCCGCAGGATGTGCTCGAGCGACCCCATGCG ATCGACGCCCTTCAGCGCTTCATTATCGTCCGCGTCGAAGGGAATATCGAGTTCATCGGC GATCCGTTTCCACGCGACGAAATGCAGACGCGCGCTGTCGACCAGCACGCCATCCAGATC GAAAAGTGCGGCGCGGAAGGTCATGATACGGTCGCTCGCGCGCTCTGAATTTCCGAGGAC GTCGCCACATCGACGCCCGCGATGCGGATCTGCACGGCGTGGTCGCCCCGTACCGATACG CGCGCGGTGGCAC >NODE_44_length_366_cov_1.051195 TCACAAACCCCCCCCAGAAACGTCCGAAACTAAAAACCTCTTGTGACTTTCGGACAAAAG CCCGAGAATGTCCGAAAGTAGACTTAACCACGGAGTTTCGGACGTGCTGATTGGGTACGC TAGGGTTTCAACCCATGAGCAGGACGTTCGGCTTCAGGTGGAAGCTCTCGAGGCCGCGGG CTGTACCAAGATCTTCACGGACGAAGGCGTGACTGGTGCAGCCGTCATTAAGCCGGAGCT GGTAAAGGCCCTCGCCTATGCTCGTGCCGATGAGGACACGCTTGTCGTATGGAAGCTGGA TCGCCTCTCTCGATCCATGCGCGATCTCATAGAGACGGTGCAAGCCATGAAGGCGCGAGG CATTGG >NODE_45_length_365_cov_1.054795 TGATAGTATCTATAGTTTCATCTCGCTTAAACAAAATCTTAAATGACCTTCCTTTTCTGT GCTCCTCAAATTCTTCCCGTGTAATGTTTATAACAACATTCTCGAAGTTGTCGATAAACA AAATTTGCCCTTCCATCCAATTATTACCGATGGTAGCGCGAAGCGGATATTTTTCATCAA TAGATGTGAGAATACTTCCTACACTGAATAAATCGCCCCCCTTACTAATATGGTTAACCG CTTCTGCTATTAATTGTGTAATGGCCAATAAAGTTTGTTTAGAACCTACAGGCAATGCAA CAATTTCTTGCGGACGCTCTCCCGCTATCATTGTAAGAATACCGTTGTCGGGACAAATAA TGAAT >NODE_46_length_363_cov_1.327586 CTATGGATAAGCAGCGATGATGGTCGTCCTATCAGGAACCCGCCGACTCGTCCTATCGGG AACTGCGGAGTCGTCCTATCGGGAACCGGCGCGGGCCGGAAACCCGCAGAAATCCGCGCG AAATTGGCGCCCCTCTAACGGTGCTAATAGAGAAGAATCCTTCGGATTCCTGCTAACGCG CCGCGCCGCCGTGGATAATGGCGCCGCCCGCCATTGGCTACGGCCACGCCGCCGGGATGC CGCCATGCGGCTTGGCGGTGCGGAATGACGATACTTGTCGGCGACTGCCGCACCGTCATG CCGGATCACGGCCCGTTCGACATGATTTTCGGCGATCCGCCCTATGGCGACACGTCGCTG GGT >NODE_47_length_363_cov_1.062069 CGAAATCCTGCGCGACATCCCATTCGCAGCCCGACACCGGATCGCGCAACCGCGCCATGA TCGTGACCAGCCGTTCGATCATCGACACGCTCCATTTCGGGTGAGGAACCGGCTCCCGCT GGCGACCTCCATCAATCCGATAATATACATTATGTTAAATTGAGGCCGTTTCATCAGAGC AAGCCTCCCAATACCGATCCAGCCCCGAAAGCGCCCTGCCACAGCACCACCAGCACGAAC AGCACGCCGAAGATCGCCACCCAGGCCAGCGCCATCCTGATCGTATCGCCGAGCGGCAAA CGGCGCGCCGCTAGCGCGCTGACCGGCAGGATCAGGACCAGCGCGTAAAAGACCAGATCC ATG >NODE_48_length_363_cov_0.896552 GCCGCGCCATTGGGGGTCGCCGGGCGGAACACGACCAGGCGCGGGCGGCTGATGCCCTGC ACCGCACGGTCGTTCAGCGTGCGATCCTTGCTGCGCTCGTCGACGGTCTCCAGCGGGAGT GTTGGCGGCGCGCCCGGCGCGCCCTTGGGCCACAGGTCCAACGTTTCGTCGGGTTCGGGC AGCGCCGTCGCCGGTGCGGCACCGCCAACCCGTGGCGGCGGCGTCTGCGCAAGCCCGCGC GCCGCCCACCCGCTCGCCAGTGTCCCGAGGATGGCGCTGCGACGGTCGATCACGGGCATT CTCTGGAAAAACGAACGGGCGTCGCCATAGCTTTGGCAACGCCCGAACGGGGAGGAAGGG TCT >NODE_49_length_362_cov_0.498270 GAGGATAATAGAGCAGCGCGTTCGGCGGTGGATAAGATTAGATTTCCGTCGTCGTTAGGC ATATTACCAAATGAGATTGCTGGGCGGGGAGAAGACGGGCTGGTGGATTCTGACACCACC AAATGCCGGTTCATCACACACCGTGCATCGAACCGGTACGACGTCAGCGCATCATGCCGA CTTTCAATCGGATCGCGTCGAATGTCGGGATAGCTGAACAAACGCTTCTCGCTCGGCTGA TTATCGCGGTGGGTCAACCCGATCACGACGACATGGACGTGCGCTGCGCCGCGCGCTTCG CTGCCCCAACTGAAGGTGCGATGGGCGAAGGCGATTTCGAGATGGAAGCGATCGAACAGG AT >NODE_50_length_360_cov_0.912892 GATCAGCAGCGCTGACGCCAGATCGCGCAAGAGTCCTAGCTTCCAGCACCTGAGCATCTG TCATCTTGGCCTTGGCTCTGGCGGCCCTCATCTTTTCTTCAGGCCTGCTCATGCGCTCGC GGGTCATCTCAGCCATCTTCTGGCGATTCTCAGGCGCCTCAAGCCGACTGCGCGCGCTGG CCCGCAGCCTTTCGTGGACTTCATCACTTGCCATAGCGTCTCTGGTAGCCGTCGATATTG CGGCCCTTGCTTCTGGCGACTGCATGCGCTGCTTCTGTGCCTCCGACATGGTCGCCCTGG ATTCTTCTGTGTGACGATATCCCATCTTCGCAGCCGAGATGTTGGCGCGCCGCTCCTGGC >NODE_51_length_358_cov_1.347368 TTCCGATCGCGGCCGCGCCGATGTGAACGCGGTCTATCTGTCGGATTCGTTCAACATCAC CGAAGCGCTGCGGATCGACGCAGGGGTGCGCCACCAGTGGACCGATATCGATTTCACCAT CACCGGTAACGGCCTCCCCAACGCAGCGAAAATCCACCGCGAAGCCACGCCGTGGACCGT CGGCGTCAACTACCGTGCGCTGCGCAATCTCGACGTCTATGCCCGGATATCGCAGGGGTA TCACTCGCCGTCGTTCGACGATGTGCGGTCACAGCTCGGCAATACCGGGCCGCGGCTCGA CCTGAACTGGAGCGTGCGCTCCTATGAAGGCGGTGTGAAGTATCGCGGCGGCGGTTTC >NODE_52_length_358_cov_0.810526 CATTGGGGCGGCGACCAAGCGTCTGCCAGTCGCTCGCGACCACGGCCGCCATCGGGTGCG CGGCGGTTTCGCGAATGCCGAGCGCCTGGCGTGCCAGCAGCCCGTAAAACGTCTCGCGAT ATTGCGCCGCGTTCTTCAGCCGGTTCTCGACGCGATCGGGCCGCGCGCACTGCATGTCGG CGCGCGCCGCCCAATAGAGTGCCGCCGCGCGCAGGTCGACATCGCTGGCGCGCGCGGCAA CGCCCTCGAACAGCGTGCCAGCGGCGGCGCAATCATGCTGCCGCCATGCCGCCAGCGCCC CGACCCACTGGCCCTCGACCGCGAAATCGCCATATCCGGCGGCGGCCTTCTGCGCCAT >NODE_53_length_355_cov_0.815603 TGCCGATCTTCCAACGCGAAGCCGCGCGCATGCGCAAGGGGGCTTCGAGTCGCTTGGCCT GTGGCAACCCCGCAATCACGCTCCCCCTGGCCCGCTTTACGCCGCGCCGTCGTCCCCATT TCGGGTCACCGCACACGCCGTTCTTTCTGGCGCAGCGCTATTGCCTATCTTTTAAGTAGG AATACATTTTCCTCTTGGAGGCGTGGCCATGCGGCGTCCCCCTAGAGCACGGGTGGCCAC GTCTCTCCGCCCGCTGTTCCGGGGCTTATTGGGAGAGGATCGATGGGTACCTTCTCGAAT TTCGACCCCGTTCAGCCGACCATTCTGACCGTTCCGGGCCTGGGTGGCTCGGGGC >NODE_54_length_352_cov_1.100358 GGCTTTGGCGGCAGGTGAGCGATGGATCCTTTCGACCGAGGGGGCGTTGGGGACTTCAGC AGACGTCGATTAAGGAAATCCACACCGACTTCCGCTATGGGCGACGTGCAGCATTTTTGC TGCACTGCCAGAAAAGATGGCGAGTTTAGGTTTTTTTTGTTTGTTTGAGACGGCGGCTGT GCTAGCCGAAAACCGAGTACTGCAGTGAATGCCTCTCACGAGGTTCATCATTAAGTAAGA CAGGGAGTTACCAATGAATCTCGCTAAGATCGCAGCCTCGCTTGCCGCAGTGTCGCTGGT TGCTATGCCAGTTGTGGCATCGGCCCAGAATCCTGCTGCTTCGCTGTCGCTG >NODE_55_length_351_cov_1.406475 ATGAATTGCATTTCAATGGTTTGTTACAGTTCGCGGAATGTTGAAAAATATGGCGACAAA ACAATCGTATAAGGCGCTAGCGTTGCCGCTCGACCTGCCAGGGCCGGGGTTTGGCGGGGC AAACCCAAACGGCAGCTCGCCCGCTTCGTGAGAAGCACGTGTTGCATCACCTTCCCGTCC ATGCGTATTTCATCGCATTCAGGCGGGGTGGGCAGTTTCACCGTCTATCGGGAATCCGTT TCAACGACCGCCTGCCTGCCCGGGAAATGAGGAGCCCTGTCTTGCGTCGACGCGCCATGG ATTTGAACATGGGGGACATTGCCCAGCTTGCGAACGTGTCAAAGCCAACGG >NODE_56_length_351_cov_1.377698 GTGAAGGGGCAGTAACATGGTCGGCAATGTCATTGACCGGGGCGGCGAGGTTGCTGTCGA TACCGTTCCCCCGAGCGAGCAGGACACCCCTGTCGCGCGGAGCGGGGGTTGGGGAAACAT CGCCTTTATCGGCGCCGGCATAGGTCTTCTGGGTGCGCTGGGTGGCATCGCGATAGGATA CGGAGCGTTCCACCGCACAGCCGTCACGACCACAGCCGCGCAGCCGGCGAAGGCGAGCGA GCGCTCCGTTGAGGACGTGATGAACTCGCCTAATGCGCAGCGTGCAGCCCTTGCGGGTCA GCTCGGCCAAACCGGTGCGCCTGCTACAGACGTTTTCGGCCGCCCGATAGC >NODE_57_length_350_cov_0.826715 TCCCCGTTCGCATCAACATAATCGATGATGACCTTGCGTTGGTTCAGAACCGGAGCCGAT GCATCTCCCAGCCTCATCGATCGCTTTGAAGGATCACCACCTGCCCCCTTATTCGCGCTT CTAATTCAAGGAATTATTTCCGACAATTTGCGTGGCGCTCGTCAACGCCGACCTAACCTT CTACCGGCAACCATGTCGCTCGACCTGAAAGCCGTCGAAGTAGCCTCGACGGCCAGGCCG GGAGCAAGACCAATGACTGGAACCGTGTTTCGGGCATCGCCCGCGTGCGAACTGCGCTGT CCGCGCTGCGATGTGCAGTGCGCCGTCATCACCGCGGTGCGCGACCGGCG >NODE_58_length_349_cov_1.115942 TGAGAATGTCGAGGCCGTTCTCCTCCTGCTCGGTCTTTGCATTCGGCTTTGCCGTCGACG CCGTCGCATCGTTTTCCGTGCGAGTCTTGGTAGACTTTTTAGGTGCCATTGGAGGTTCCG GATGGTGGGGGCAGTGCCACGCGATGCGCGGGTGCATGATCAACTCGGCACGTCTGCACG ATGTTCCACCTCCCGCGCGGCAAGTTGCCGGCCGGAATGTTAGGGTGATCAGCGGCTTCA CGGCGGGCGGCGCTGTCTTCCGTTGGCGGACTAAGACCACCCGCAATCTGCCGATGGACG TCCATCACCGGGAACATCGCGTGCGGCAGGCCGTTCGAAATCCTTGAGC >NODE_59_length_349_cov_0.797101 GAGGATGGGCCAGCAGGGCGATGGCCATCGCCATCGGTGCGGCCATCAGTGGGACCGTGT GGGCCCAAGCGGGCGCCATCGCATCGAGTGCATCAAGTGCAGCGAGCGAACCAAATGCTG CGAGCCCACCCGGCACGCCGGCCGTGCCCAACTCAGCCCCCAGCTCCGCCGCATCAGCCG TCACCCTGCCCGCAGCCACCCCAGCCCCCTTGCACGGCATGGTGATCGATGCCGACACCA GACAAGGCATCTCCCTGGCCTATGTCGTGAGTGGCGATCTGACCGTGCGCACCGACCACG ACGGCCGCTTCAGCCTGCCTGCCAATCTGGCCGGGCACACCGTGGGCGC >NODE_60_length_347_cov_0.759124 CTGCAGCGCCCAATCGCAACCAGCTTCAACGGCGGCGAGCTTTCGCCGCGCATGGGTGGC CGTGTCGACACGGCGATCTGGTCCGTCGGCATGGACACGTGCGAGAACTTCGTGCCCACG GTCGAGGGGGCGTTGGTGAAGCGGCCGGGCTTTGAATATATTCGGCCTGCCGCGCCGACC GCGCAGTGGGTGACCGAGTTCCGCTTCAACCTCACGCAGGATTATGTGATCGAGTGGAGC GACTATCGCCTCCGCTTCTACACCAATGGCGGCCGGATCGAGACCGCGCCGGGCGTGCCC TATGAAGTGATCGTGCCCTATACGGCGGCGGAAGCGCCCTATGTGTC >NODE_61_length_344_cov_1.092251 GCCTTTAAGCAGATCGTCCTGACAGGCCCTCAGCGCCGCCGCCGCGCCCTGCATGCCGGG GACTGCGAAGCTTTTGTGGGTTCCGTCGGCCAAAGCGATCGATACGCTGGTCGAGCGCAA TAACTTCGCCGCGATATCGCCTTCGGCGTTCAAGGTGGTGAGGGTGTTGTTCCTGGCGGC TATGCCATAAACGGCAACGTCGCTCTGGAACGTTTCACCCGACGGCTGCAGGGTCAGCGT ACCCTTCAATTTCTCGTAGCGTTTTGCGGGCATGCCCGGCGATACCGTGATGACTTCAAG CGTGTCGCCGATCGGGAATGGTTTGAACCCGATCGACGTGACTG >NODE_62_length_344_cov_0.852399 GGCCAGACATCCATGGGGGTTCTTGACAGGGCCATGCGCCTGTTCGTGCCACCATCGCAA CCCGCTGGCTGTGAAGCAGGGCATCGCCCAGGTAAAGCTTGGTGAAGCGAAGCGGTTCAC CAGCAAATCCCGTGTCCCCCACCGGGATTATCGATAATCTATAGTCACACATTTTCGCGC CGCCCCATCGGAGTCACCCATGTGGATTGTTCGTGTCGCCTTGCGACGCCCGTACACCTT CATCGTTCTGGCGATCTTGCTGACACTGATGGGCTTGTTCACCATCCTGCGCACGGCCAC TGACATCTTCCCGGCCATCCGCATTCCGGTTGTCGGGAAGATGT >NODE_63_length_342_cov_0.710037 CTTCCCGACCGCATCATCTGCGAGCTGACCGCGACGCGCACCGTCGCGCTTCAGGACGCC TTCGCGCAGAGTCCGTCGATCGCCGTAGCCGCGGTGCTGCACGCCATAGTCCTGTCGACC TTCTTCCTCGCTAGCCGGGAGTCCTGCCTTGGCATCTCGGTCAACCGCGCGGTGTTCGCC GCCCAGGCGCCTGGTCTCAAGGACAGCCCGGCGGCGAAGGCGATTGCCGAGCGGCACGCG CGCTGGCGTGACCGTCTGCCCAAATCCGACAAGGAGATCTGGGACGCGCTTCAGTTGCTC GACGGCTCGGAGCAGGCCGCTTTGTTCGCGCATTGCGCGGCC >NODE_64_length_341_cov_1.126866 AGACAGGTGCCGATCTATGGCCTGGTCGGCGACATCATCGGAGATATCATCCTACCCAAG CTGGAACGGGGGATGCGTAGCAACAAAATGCGCCGTTGCATGGGGACAAGGGGCTATGAA CGCTATCCGATATCCGAAACGGTGTGGAAGGCGCTGAACGAGGGCGATGAGCAGCAGGTG CGGCTGATGCAGGCCAAGATCGCTTCAGGTCCGAAGCCACAGGATGCGGCGGTGACGGAA TGACCCGGCTGCTCTTGAGCGTGCTTGCGATTCTTGTGATACTGGCATTGCCCGGCAATG CTTCGGCCCGAGATAATGCCGGGGTGGTACAACTGCGGACC >NODE_65_length_339_cov_1.154135 GTCGCGGAGCCGATCAGCGACACCGTTTCGAAAGTCGCCCGCTGGGTGGAATCAAGCTCG CCAATCAGACGTGCGTCGGTGACACAGTCCGACTCGTCGAGCGTACATACCCAGAGCGCA TCCGTCCTCGATCGCAGGAAGAAATCGAGCTCTTCGAAAACGGGCTCAGCTAGGTTGGCG ACTACCGGATAGAGATGAGGTGACGCCAAACGCGCATAATCGCGAAAGCCTACGACCGAC TCTCGGAGAAACGAGGCGGTGGCCAGTTCGACACCATTGAAATCCATGAACGCTCTGGTC GGAGCGTCCACGGACTGCGTGTTGGCAATAAGTGCATTC >NODE_66_length_338_cov_1.162264 GTTGGATGGCGCGCTGGAACGGGGTGACCGAGCGATCATTGCGGACCCGGACGGCGGTTA TCTGGCTCGTTTCCACGATCGTAGCCGGGGGGACGTGATCCTCAATCCATTCGACCCGAG ATCCGTCAAATGGAATCCGTTTGCTGAGATTCACACCCCTTACGATGTGGAGCAACTGGC CAGCGGCCTGATTCCCTCGACCGAGGATGCATCGAGTCGTGAATGGCGTGGCTATGCGCG AACATTTCTCTCGGCGGTCGCCGAGCGTTGTAGTCAGAAAGGTCAGGGTGATGCTGCGCA GTTATGGCGGCTGCTGGCCATTGCCTCCAGCTCGGAGT >NODE_67_length_338_cov_0.871698 TTCCACGACGGTTCAACCACTCGCTAGCAACAACTATACAGATCTTGGCTATTACAGAAC TCCTGCAGTTCAGTCTCACGCGATCTCGCCAAAACTTGCATGGACTTTACCGGCCGGCTG GTCGGCGACGCTGCTGGCCACGTATGGTGAAGATAAGACTGATGTGAATTCGCGATTCTA CAGCGGGGGGGGCACTCAGCTTCGCCTCGGTGGGATTCTATCGTAACCGATCGACCCTGA TTGAGATGAACGTCGAAGGGAGTCTCGCGCATTTGCCAGGCGGCAATGTGAGGTTGGCCA GGGGAGGCGGCTATCGCGGGAACGAACTGATCGCAAAC >NODE_68_length_338_cov_0.871698 TTGTAGCGATTGCCGGAAGTAATAGAGCCCGGCCGTCGCATCGATCCTGCCGCCGCCGGG ATTGGCGATGCGAACCTCCTGGCTGAATTGCCAGTCGTCGGTCGGCACGGACGCGTTCGT GTAGGCCTCGGCGCTCGACAGATCACCGTCGAAACCCGCCCGATAGCGCCATGCGCGATA GCCCGTCACCGACGTGATCTCCGCCGCCCCCAGGTCATAGACAAGATTGGCGGTGAGCCC GCCCTGGCGAACGCGCAGAAATGTTGGAGCGTTTGCCGTGGTGCGATAACCGGGGCCGCC CAGCACCGCATTACCGCCTGCAGCCGCAACCCGCGCAC >NODE_69_length_336_cov_0.878327 GTCTGGTGCATTAAGCGGCTCGATTCACCGTGAGGAGAAGAGCTGCCCCGCCTTATCCGC GTAGGCCTTTCTCCGATATTTTGTTGAAACGGATAGAGGAAGGATCGCGTTTCCGATGAG CGTCGCACTGAACGGAATCAAGGTTCTCGACCTGTCTCGCGTTTTGGCCGGCCCCTGGGC AACAATGACGTTGGGTGATCTCGGTGCTGACGTGCTGAAGATTGAGCAACCTGGAACCGG GGACGACACCCGGACGTGGATGCCGCCGGCTGTGGAGGGTGTTTCAACCTACTATCTGGG CGCAAATCGCAACAAGAAGAGCGTTGCGATCGACAT >NODE_70_length_335_cov_0.854962 GTATTGCGACCGGGGAGTTTCACGCAAACCTGATCGCCGGGGCCGGCAATTTCGGCAGCT ACAAAGCCGAGGGACATATCGACTTGCCGTCGGTCGCTGGGATTGCGCTCAAGATCGATG GAGTCGTCAGCCACCGCGATCCGCTGGTGAAAAACACGTTGACGGGTGCATCGGGCTTCA ATGCTTACGACAAGCGCGGCGTTCGCGTGGAAGCGCTGTGGAATCCGACATCGGATTTCA GCGCCGATTACGCGTTCGACACCTCTTATGATGCCTCGACGTCGCTGTATCTGCAGTTGC TTGCTCCCGGTAGCAACAAGCAGGCACCGCTCGGC >NODE_71_length_334_cov_1.180077 TGTTGTTGGTGCCGATAAATCCTTTTACCAGTTTATTGAGCACATAATATTCTTCTGTAA GGCACTGCCCCGATGCATAAAAAGCTACCGAGTCGGGACCATATTTTTGAATAAAAGTTT TGAATACAGCTGCTGTTCTGTCGAGTGCCGAATCCCACGATACGGTTTGCCGCGGGCTTT GTTTGTTGTACCGCATTTGAGGATAGCATAGCCGGTCGCTTTGATCTATCACTGTATAGT GCAGGTTCAAGCCTTTGCTGCACAACATGCCCTTGTTTACCGGGTGGTCTTTATCGCCTT CTACGTGCAGCAAAGGCTTGAACCTGCACTATAC >NODE_72_length_333_cov_2.450000 CTAGTATACTCTACTTGTTCACCTGTGTCGGTTTGGGGTACGGTCAGTTCACCGGGAGGA TCGCCCCCCCAATTCGAAGTTTTTTCCTGGAAGTTTCAACCTTGTTGACTATGACAACAG TCGCGACTATAAACAGACTCGCGACTATGGCAGGGCGGTATGCTCCGCTCTCTCGCGACC CCTACTCTAATCAAAAGACTAAAGGCCCCTACCGAAGATTCAAAAGGCGAGCACTTAAAT GAGAAAGGCTTGTAGACTCGTGACGCTGAACGACACATTCTAAAACTAAAGCGCACACTA GAAAGTGCTTCGAAAGGTGTCAGCAGGTGCGCG >NODE_73_length_332_cov_1.189189 GTCTTCGACATATCGACCATAGTGCCTTGGCCTATATCGTTTGCAGCAAAAACGAAGGCC GGCAGCAGCCAGTTCGCAGAATAGTTCTGCAAATGTTCGATCGCTGCCTTGATGGTTGGA ATGTCGAAGTACTGCACCGCTATCCTATCTTGGCTCTACCGGGTTTCCGGAAATTATCTT TATTCCCCGACCAGCTTTTCCATAGTGGGGAGGGACTAGCTAAGCGCTTCTGGACTTCCT CCCAAGTAGTTAGCTTGTGACCGTCCGATTGGAGCGTAGTCTCAATATAATCAATGTAGT CCTCGCTCATGTCGACGCCAACAGCATTACGG >NODE_74_length_331_cov_2.251938 CCCAGCTCCCCGAAAACGACGTTCGACTTGCATGTGTTAAGCATATAGCTAGCGTTCGTC GTTTTCGGGGAGCTGGGCAGAAGGAAAATAGGCTCCTAGCTAAAGGTAGCTTGTCTCGCC CAGGAGGTGAGAACAGTTGAGAACAAAGTGGCGAACGGGTGCGTAACGCGTGGGAATCTG CCGAACAGTTCGGGCCAAATCCTGAAGAAAGCTAAAAAGCGCTGTTTGATGAGCCCGCGT AGTATTAGGTAGTTGGTCAGGTAAAGGCTGACCAAGCCAATGATGCTTAGCTGGTCTTTT CGGATGATCAGCCACACTGGGACTGAGACAC >NODE_75_length_330_cov_1.198444 TGATGGTCTCGCGACAGACATCGTCAGGCTTCCCGTTCCAGTCCCGGACCGCCAGCACCA CCATCTTTTCCATGCGTATGTCGTGCCGGAAGATCATGCTGCGCTTCTGGCCACCGCGCT CGATCGACGAGAACGCTGCGTCGTGCATCAGTCCATTGCGCATCATGTAGAGCGCATGCA TCTCATCGGCCGAAAGGGTTCCCCACGGCAGCGGAAAGTGATGTAGCGCTCGCTTTATTG GGGCGTTCGCCGGCGGCTCTCCAGAGATCGTTTCACTGAACCCATAGCTCTGCCGATCTG GTCGAGGATGGCGAAGGCCGCGAGCAGAGC >NODE_76_length_329_cov_1.203125 TTCTCCAGGAGCGGTCTCGAGGCTGGTAGCATCAATGAAAGGCTTTGCGACAATTACGCC CAGAGCAAGATCGGATCGACTTTAAGAGTTTATTGATGCTGTTGACAAAAATACTCTCGC GGAAAAGAATAGATCGCTGTAAAAATCGTAAAACCCTTGGGGGCATTTGTCGCGCACGCC AGTGACGCAGGACTGGAAGGATTGGTATCATGCCGCGTTTGTCGGGAATGGTCCACATCA CGTCGATCGAGGACCTGCATGGCGACATGGCCGGTGCCAGCCAAGATGCGATGATCTCGG TTCTTGGTCGTCGGAGAATACCGCTGACC >NODE_77_length_329_cov_1.000000 CGACCTTCTGTTGACGGGACCGATGAACCCGGCCCCCCGGAGATCGACGAACCCCTACAG TGGAGAGATTGATTGGGGGCCACCAGCATCGACGCGATCGGAGCGATTGCCCCCAATCAA AAACTCCACTGTAGGGGTTAGTCGATCTCCGGGGGGCCGTGTTCATAGTTCCCGTCAACA CAAGGTCGAACCAACGGAAATCTGTCATCGATCAAGTCGAGCGTAAGCGTTTTTACGAAG CGCACGTTATCGGGAGCCGTACGAACTCGAAAACATCCTTGCGCTGGTAAAGCACTTCCG CGCTCCGGTCTTCCTTCACGGTCTGGCGA >NODE_78_length_327_cov_0.858268 GCCGGGGGCACCATTCGCATCGCGATCCCGTATCCGGCGGGAGCGGCGGTAGCGAAGGAC GCCTATTTTTACCCGATTACGCCCGGGATGATTGACTATGCCAAGCCGCAGAGCGTGGTG CGGGATGGCGACCGGCTGGTGGTGGAAACCAAGGCGGCCGCTGGCGCGGGCGCAGCGTCG CTAAAGGGCGTGTTGCAGATCGGTGCGCAACAGGGGCTCTTGGTCACGGCAGCGGCGGGC AACGTTGCATCGGTTGCCTCGATGGCGTCCGCGTCGAGGGACAATGTGTGGCTGGCGACG GCGATTGCCTTTGCCGGGGCAATGTTG >NODE_79_length_326_cov_2.059289 CAATTACAGTTCACTGCGCCCTTTACTAATAGAATCTCAAGTAAAGGGGCTTGCTGGTTT TTCCATCAAGCCCCTTTACTTGAGATTCTATTAGTAAAGGGCGCAGTGAACTGTAATTGT GAAAAGGTTGGAAGATCTGGCCAAAGAAGGTGATAGCCCTGTAGATTCGTTCCCATGGTT CGATCCTTCCCAGTAAAACGCGGCGTGTTCGAATTCTGATCGCTTTTACGCGAGAAAGGG GGACCACCCTCTAAGCCTAAGTATTCCTCAATGACCGATAGCGTACAAGTACCGTGAGGG AAAGGTGAAAAGAACCCTATTTAGGG >NODE_80_length_326_cov_1.213439 CTCTGGGCCAATCGCCTGTTGCCGCCGCTGCTGCCGCAGCGTGCAGACGCGGAAGTGAAT GTCATGTTCGCTTTATGGGGCGTGCTGCTGCTCTACGCCTTTCTGCGCAAACCGACGCGC GCGTGGGTTGACCTGCTGGGGTTGACGGCGGGCTTGCTGCTGGCGCTGCCCGTCTTCGAC ATGCTGGCGACCGACAGGGGGTTGCCTCGGACGATCGCCAGCGGTGACTGGACGCTGGCT GGGGTCGATCTGACCTTGCTTGCCTTAGGGTGCGCTTTCGGCTGGATGGCGCGCGCCGTC GCGCGGCACCGCGCGCGCCCGCGACG >NODE_81_length_325_cov_1.222222 CTACCGAGCATGCCGGACTCAAGCGCCTGGATGCTGGTAGCCGCGATCTTCGGCACCACG ATCAGCCCCTATTTGTTTTTCTGGCAGGCCTCCCAGGAAGCAGAAGATGCCAGAGCTAAA GCGAAAAGCCTTTCGACATCGGAAGTCAGCGCCGGCGAAGAGCGCCGGATTAGCCTCGAT AGCTGGTTCGGTATGTTTTTTTCAAACCTCATTGCCATTTTTATCATCATAACCACCGCC GCGACCTTGCATATCGCTGGTATTACGCAGATCGATACGGCCCGCCAGCGGCCTGAGTGC TTCGGCCGCCTGCGCGGCCGTATCG >NODE_82_length_325_cov_0.916667 GTGGCGCATCGCTCTCATTCCACGCCTCGTGCTCCACGGTGTCATCAAACACCCAGGCCT CACCAGCCCGCCACTCCCTGCGGTCGGCACCCACGCGGAACGTGCATTTCCCCGGGAGCA CCAACGGCAGATGCACGGTCAGGCGGGTGTTGGTCGAACCATTGTGCGCCGGAATGTGAC TCTTGCCGTCCAGAATTGAAAAGAACGCCGTCGGCCCGTGGCCGCTGATCTCGATGCGAG GCGTCCTGGCCAACGCCGCGACCGTGGCGGGACAACGCGCCTGGTGCTCAGGAAACTCCT TGCCTTCGCGCCAGAGATAAAAAGC >NODE_83_length_324_cov_0.920319 CGCCTAACCCGTCGCTTCGGAAACTGTCCCGACCGGGCGCGCCGCACGCAGAGCACGTTT CGCGAATCGCGCAAAATTGGTCTGGTTAAGGCCAATTATTGGTCACAGGTTCTCTTCAGG TTCTATCTACCGCCGGACCACAAAATTTGACGATGTCCGCGCGCCATGCGGTAACTAACC GAAATATAACGACTTGTTTCTGCGGTTCCGGCTTGGCCTCCTGTCATTGAAATGCAACTT CGGCATAGCTTTTGCCAAATGCATTGGTTATAAATTTCCATACCGTAGCGGTGCAAAAAG ACACCAATGTGATACCACATGATG >NODE_84_length_322_cov_0.871486 GCAGGAAACGCTGGACGCCAGCGCGAAAGGATGCATCCAGCAAAGTCCGTGTACCATAAA CGATTTGGTCAATCCAAGCGGCATATCCGATATTTAGATGCGTATCCGCAGCCGCGTGAA TGACGTCGGTCGTATCTTCGGCCAAATCAGGCAAATTTGACAGACTGCCATCTATCGTGG TCAGCCAAAGATACTGTTTCTGAACCGGATAACGGGCCCGAAAGGCCGGGGCATTGCGGG TGAGCACCGAAACACGCAATCCACCATAGGCAGCTTCGCAACAGGCCAAATAATCTAGTA AAGTTCTGCCAACGCAACCCGT >NODE_85_length_321_cov_1.991935 GCAGTGGATCGCTCGAGCCAGCCGCCAGCAGGCTCTTGTTGATGATCCAGGCAAAAGGCT CGATTTGCGCGCGCCGCAAATCGTCCTGCAATGCGCTTGCCTGCGAGACAGGTGTGGTCT CCGCAAGAGTAACCAGCAGAATATGCGTATAGTCGGGATCCTGGAGCCGCATCAGCGGCG TAGTTATGCGGCCGGCAAGGTCGTGCAAAGTCGTTTGTCGTGCTGGACACGGCCCCCACC GGTCACAGCCTTCTGCTAATGGATGCGACCGGCGCCTATCACCGCCAAATGACACGGCAA TCGACTTTGCACGACCTTGCC >NODE_86_length_318_cov_0.710204 CTAAGAACGGCCATGCACCACTACCCTCAAATTCGTGAAAACGCTGTCAAATTGTCATAC CCACTTGAGTTCTGACCTGGTAAGCTTTCCCGTGTTGGGTCAAATTAAACCGCAAGCTCC ATCGCTTGTGGTAGTCTTCCGTCAATTCCTTTAAGTTTCAACTTTGCAACCATACTTCCC CCGGAAACTAGCTTTGGTTTCCCGGAAAGCTACTGAATGCACCATGAAAAGTAGTGACAT CCAATTGCTAGCTGTCATCGTTTACAGTTAGAACTAGGGCGGTATCTAATCGCCTTCGAT CCTCTAACTTTCGTTCTT >NODE_87_length_317_cov_0.819672 GCTCCCAGCCCGATGCCGCGATTTCGCCGCTTGCCTCACCAGCCGTCGCCCGCTTCCCCC TTCCCTTCGCAACCGATTGCGGACAAGCTCTTGCGAACCAGTCGCAGGGGGCGGCGGCGA TGGCGGAACAGGGTTGGGCATGGGTGTAAAGAATGGGCGCAAGGCGCCGCCGGCGTGGTT GCTGGGCCTCGCCACCCTGGTCAACGGATCCTTGAGCGGCGTGCTCACCGTCACCGTTCC GCAGCTGCTCGCCGCCCGGGGCGTGCCCGAGCCGCAGATCGCCGCCATCTCGGGCCTCTC CTTCCTGCCGGGGACCT >NODE_88_length_311_cov_1.252101 CACCATAGGTGCGAGCGACGCTCGATAAGACGCCCCCCGATACACGCAATCCGTACACAC CGATGGCGAAGATAATGCCATCCAACGGGACAGGTAGGGCAGGACGTCAATATCGGCTGG AGCAAGTTCCGTTTTATCCGCGTCTAATTGACCCGGAACACAGGGAAACAGCACGCTATA CTGCGTCCGCCCCTGTTCGAAACACCGGAGCGTGCGGCAATGTCTCAGCTTGAATGCAGC AGATTCGCGATCGCATCCACACCCCACCTCCTCTATGCTGAACGCACAGCATGGAGGCAG CAATGCATCAT >NODE_89_length_310_cov_0.974684 GCCCGCAGGCAGTGTGCCTTGCACAGTCGCGGTCGGCGAGACTTCCTGCCGGGTTCGGCT CCCGACCAGGAGAGATGCCAGCTGGCGATTCACGCGAAGCCGCGCGCTGTGTTAGGCGTC AGCAGCCCATCGATGACGCTGTTCACGCTGACATCGATATTCACTCGCGCTGCGGCGACG CTCGCGGTCGTGAGCTCGCGTTCGATCGCCACCAGGCTCGCCTTCGAAATCACCGCTTCC TCGCCGGGCATGGTCGCGATGAAATCACGCAGGATCGCGAGCGTGGTCATCGGCGGTCTC CACGAAAGGG >NODE_90_length_308_cov_0.978723 GGATTGAGCTCGACCGACAGGGCATTCACCGTAAAACCGACGATCTGCTGCCCTCGCTTC GACCAGCGTTGGTGATTGCATGTGCGGACAGCGAAGCCGACCAGTCGTTCGCCGAGGCTG CGCAGCAAGCTATCGAAGACGGTTCACCACTACTGCTCTGCTGTCTCGCGGGCCGCGTCG TCCGACTCGGCCCATTGATTGATCCATGTTCATGCTTCACTCGCCCCTCACATCCTCCCC CTGACGTTGCGATGCAACGTGCGGAGCCGCTCCACGGTCCGGCCGAAGCCGGCCACCCAC CCCTGAAT >NODE_91_length_306_cov_2.373391 GTCCGAGATGATCGACGCCGAACCGACATAGGTCTTGTCGGCCAAATTCTGCACCGATGC GTAAAAGGACAAACGCGACCACCAGCCTGCTGCAGCGGGCGGATCGTAATGCAGGTTGAG ATTGACCAGCGTGTAGCCCGGAATGCGCAGCAAATTGGCATTGTCGATGAAATAGCGCGA GCGGTAGGTCACCTCGGCAAAGCCGCCCAACCCGGCGAAGGCACCGTGCGGCTGGTCATA GCCCAATCGCCCGTTGGCGAAGGTCGGGATCACGCCCGGAATGCGGTTGTCGGCACGATC GAAGGT >NODE_92_length_306_cov_0.742489 TTTAGAATTTGAGCGAGCACCGCCGGGGCAAGGCCGACGCCGCCCTTTTGGGCAATTGCA GTCCCGAGCTTTTCAGCGAGAACACCGCGAAACATTTCCTCGCCATGCCCCCCGGAAAAC TCGCCGGGCTGCACGCTTTCGAACATCAATTGCGTCATCTGTCCGAGGAACACCGCCTCC AAGGACTGGGCGGTGGCCGTGTGCGCGGGCGTTGCGGCCTTGGCGGGTGCCGCGCCGACG GTCGCAGCAGGAGTCGGGATTTCGATCGTCATTGGACCTCAATGTCGGCCTGGAGCGCGC CTGCAC >NODE_93_length_304_cov_0.969697 CTTGTGGCCGTTGCGAACGGCGCGACCCTCGACATCCCGGATAGGGAGCATGAAGAAATC GCGTTTCCCGATCTGTGATTCTAGTCGACACAAATGTTTGGAGCGCGCTGAATCGCCCCG CTTCGCATCCATAGGTATCGATCTGGTTTGCGGCAAACGCGCCGCAGGATTGGTTGTCGA CGATCGTGATTGCCGAGATCCGTTCTGGCATAGAGAACCCGACAACCGCCGAGCGACGGC CAGCCCTGGAGCGCTGGCTCGCCGATATCGAATTGGATCACGCAGGTCGCACGCTATCTT TCGA >NODE_94_length_299_cov_1.362832 GCTTGCGGGCTTCCAGCCCTTTTGGGTGTGGCACTGCGCGCAGTTGCTGCCCGCCTGGGC ATGGAGGGCGGTCGGCGGGGCGCGGTGACACGATGCGCACAGGCCGCGAACATCGGGCCG CAACAGTTCATGCGCGAAGCTCGTCTGCGACGCCTTCACCAGTTGCGGCCCGCTATGATC GCTGTGGCAGGCCAGACAATTGGGCTGAGCGAGCGACTGGTGAAAGGCGATGCGGCGCTT GCCCGCCTCCAGCGGCACGCCCTTGGTGGACCGGATGCCGATATCCGCGACCTTGTGGC >NODE_95_length_299_cov_1.203540 GTCAAGGCTACCGTCGCCCCTGCCGCAAAAAGCGTTGCGGAAAAGGAGATTACCGGAAAT GGCGGCAAGGTCATCCTGCGCTACTCGAAGGCGAGGGGAGGGGGATTGACGATCAAGGTT CCGCCAAAGGCCGATGCAACGCCGGCTGAGCTGCTGAAGGCGATCGAAGGGTTGCTTGGC TAGCCGACATCGAATGCCCTTGGGACGATACCAGTTAGGAACCACATGACCGCTCCCGGC CCTGACACCATGCATAATCCCACGCTGCTACCGGACGAAAAGGTTGCCTGGCTCCATTT >NODE_96_length_299_cov_1.022124 GCCTTTATGCCACTTTGGAGGCTTGAGGTAAAGAGTGTATAATACAGCTAGTATCGATAC CGTCGCTCGCGCGCTCGTTGATCTGCTGGGGTTTTTCAGCAGCCCGCAGCGCGTGGACCT GTTGCTGAAAGAGGCGGGTGTGGTGCTCGACCGCGCGCTGGTGCCGCTGTTGGTGGGGAT CGCCACGCGGGGCACGCTGAGCGTGGCGGCGCTGGCCGATCAGGTGGGGCGGGACTCGAC GACGGTTAGCCGCCAGATTGCGAAGCTCGAACAATTGGGCCTTATCGCCAAGATTCCCG >NODE_97_length_299_cov_1.022124 GTCATGGGTCGTGGCTGTCGTATTCACGCCTTACCTGGGTGTGAAGCTGCTGCCCGCGCA CATGCATCAGGGTCAGCACAACCCCTATGACCGGCCTATCTACACGCGGTTGAGGCGATG GGTGGACGCGGCCGTGGCGCACCGCTGGGCTGTGATCACCTGCACAGCAGTGGCCTTCCT GGTGGCCGGGGCTGGCATGGGCCTGGTGCAGCAGCAATTCTTCCCCACTGCCTCGCGGCC AGAGTTGCTGGTCGAATTGAGGCTGCGAGAAGGCGCGTCCTTTCGAGCCACTCAAGCTG >NODE_98_length_298_cov_1.368889 AATCGAGTGTATGTATCAGCAGCAGCTGCATACTGACCACTCGATTAATGCAGCTCGGTT CGACCGAAGCATCGGACCGTTACTGGCTTGGAGAGTCGTTATATCACGCCGGAAACTATC AACAGGCTGCTGCGGCATTCGAGCAGGCGGTGCAGATCAGTCCCAAACTTGCGCAAGCAT ATGTGCGTTTGACGGAAACCTATCTTGCATTACACCTGAAAGATAAAGCGTATCAATCAT CGCTTGCCGGTTTGAATGTTGTTGGTGATCCGTATATGAAAGAGCAGCTCTCGAATTT >NODE_99_length_298_cov_1.346667 GTGTGCGGCGCACGGCCCGTTCTTGGTGATCGATGCGATGGGTGAGCGCATCAACTTCCT CGCGTGTTGGTATCCCCGCGGTACGCGTCCATTGCTGGAGGTATTGTCCGCTGCTTTGCG GATGGAAGGCGGACAATACCTCCAGCAAAGGACGCGTACCGCGGGCTTACCAACACGCGA GGAAGTTGATGCGCTCACCCATCGCATCGATCAGCTCGAACGGGCCGTGCGCCGCACACC GAGCGCAAAGACTTCCCGCAAGACGAAGGCTCCCCGGAAAACACAGTCTTCCGGGAAG >NODE_100_length_298_cov_1.026667 GATTCACTCTGCGTAGATTGACTGAACGCAGAAAGCCTTCCACTGGCAGGCGATCGTGTT CAGTCAATCTACGCAGAGTGAATCGGTCCCTAAGGAACCCCCGAAAGGGCTGCCGTCCGA TGGGTACACGAAAGTGACGAAGTTGCTTTGACTACAGAACCATGCCTGTCTGTTGGAGCG AATTGGATGATCGGGCCGAGGGCTGCCCCCTCTTCCCCTCACTCTCCTTTCCCTAATATG AACCTTGAGTCATCAAAGCCTTTCTGACCGGGCCAGACCGAGTCAGAAAGGCTTTGAT >NODE_101_length_298_cov_1.022222 GGCATTTGACCGCGCGGCCTTCGCCGCCGCCATTGCCCCCGATTGGGCACCGGTATCGCA ATTGCTGCCCGAGCAACTCGATTCGGCGGCCCCCCCGGCAAGCCCCGCATGGGCGCAAGC CGAAAGCGGCCCGCCCCAAGAGGCCGTGACTCGCATCGCCCAATGGAAGGCCGCGCATCC GGGCGAAATCGCGCTGCGCGTCGCGCTCCCCGACGGCCCGGGCGCAACCTTGCTCTACGG CTATATCGGCGCGGCGTTGGTATCGCTGGGAATCGCGCCCGAGCGGGTTGCCGCCGAT >NODE_102_length_297_cov_1.366071 GTGTTGCTGTTGTTGTGCGGCCTCCATTGCAGCTTGCACTGCGGCCATCGCGGCCTGGTG CTGTTGCTGGGCGGCGGCCATCCCTCCTTCTACCGCATCTTGCGCCGGTCGCTGCGAGTC GCCTTGCCCGGCGTGCGGTTGCGATGGATCCTGCTCAATCATAAGTGGTACTCGCTTTGG GCGCGGCGGCGTCTGAACCCGAGGGGTGATCTTCGCGCACATAGTCCTGGGAGATCGCGA CAACCATCCGCAGCGTTTCGATCGCCTTCGTAATCAGATGCTGCCCTTCCTTAGCAG >NODE_103_length_296_cov_1.035874 GCATTACGGCACGAGAGATTCTCGACAAGTCTGCGACTGAGATCAATCGCGACCTCGTCA ATGATCCCGAGCGTCAGGCTCAGATGATGCATGTGATGGGACAGGTTTATGCCAACCTGG GCCTGTACTCGCGCGCTGAGCCGATGCTCCAGCAGTCTGTAGCCATCCGAAGCCGCGTGC TCGGGCCGGAGCACGTGACGACGCTGGATTCTCGCAATCTCCTGGTCCAGACTTTGATTT CCGCCGGCCGCTATACCGAAGCCGAAAAGATTGCGCGTGAATCGTTGGACACCGCG >NODE_104_length_296_cov_1.008969 TTGTAGAGCAGATACCGCCGCCGCACCGCGTCGTATGCAGCCAAATCCTTGCCCCAACTG GCGATAATTTCGTTGGGCGCAACTCCCCCTTCGAGTTGCTGAATCGTGGCATCGTTGCCA AGCAACAGAAGGATTTTGCTGTAATCAAAATGTTCGGGATATTTCTTGTGCAGCTCGACG GCAATCTCCAGCCCCACGCGCATCGAACGCACTCCTGCACGATCCGTCACGCGAATGCCC ACGCCGCCGCACCGCTGCCCCGCATATAACCCGCTCACCGGGATAAACGGCTGGTT >NODE_105_length_296_cov_0.443946 GTATAGTATACTGCACCGCCATAACTGATATTGTACTATTGATTCAGGTGTCACACTAAA CTGCCTAAAATCTAGACGCTGAACTGACAGTCAAAATTGACGCAAACACCCCCAAAGACG GCCCCCCCAACGAAAACCAACAAAGCGAACTGTCCGTTACAATAATAAAACAAAGAAAAG GCCACACCGGCAGGCGGTGTATGTGCCTATCGATGTTTCATTCATGTAACGGACAGGGCG CTGAGACGGCGCCCCCAACGAAAGCCTCCTCAGCTACCTGTCCGTTACATTAATGA >NODE_106_length_294_cov_0.963801 CCCTTATCCTGCCGCGCTTGGGCTGCGGCGTCGATACGAGCGAGGGCACGGTCGATCCGG TCGAGCGCGGCAGGATAAGGGACGTCTGCCATCCTCACGAGATAGCATGGCGCGAGGCGG GGACAAGGCGCATTTGTGACGAGTTCGTGTCATCCGTTCGGATTGCACGATGAAGAGGGC GGAACGGGGCGGGCGGTTGACGTGCCCGCCTGTCGCCCGCAAAGACGCGCGCATTCGAAG GACTCGGTGGCGCGCTGCTACAGGGTCAGCCGCTTGAAGGAGCCAGCATTATGA >NODE_107_length_292_cov_1.406393 GTCGAGAACCCGTCCCTTTATATTGACCTGCCGGGACACGAACTCGACGAAGCGACCTTC CTGTCGGAGCTGGCACGGCGCACCGGATGCGGTTTGCTGGTCGATGTGAACAACATCTTC GTCAGCGCCGCCAACCTACGGTTCTCGCCCGAGGTTCGGCTCGACGCGATCCCGGCGTCG ATCATCGGCGAAGTCCATCTCGCCGGGCATCGCCCCGATCCCGACCCTGATAGCGGGTTG CTGATCGATAGCCACGATGCGCCGGTCTCCGACCCCGTCTGGCTGCTCTACC >NODE_108_length_290_cov_1.064516 TCCGCACCGTTCACGCCGCGCGGGGTATCGACCCGCGCCATCAGCGCGCGGCGCAGCGCA ATCGACACCCAGCGCGACGCGACCGGGGTGTTCAACCGTTGCATCAGCACTTCAAGGAAG CGGCCGTCGGCGCGGCCAAAGGCGTTCGGCCCCATCGCGCCCTCAGGCGGACCCGCGACA CCGACGCGCGCCAGCGACCGGCGCGCGAACGATGGCATGTCGGCGCGCACGAAGGCGGCA AAGTCGGTCGGCGCGGGAGGCGTGGCGGCGGGGCTCGGCACAGTCGTCGG >NODE_109_length_289_cov_1.745370 GGGCTGCGATTCGGTGGTTGCGCTCGAGGACGGCTCGATGCTCGACAAGCCGCGCGCGCC AAAACCATCGGCGATCAGCGCGGCTTTGGCCGATTCCTCGTCGACGCCTGCGGACACCGG CTCGAACGGTACGCCCGCCGCAGTCAACATCGCGCGGCGGGACGCGCTTTGCGATGCCAG CACGACTCTCATATATCCCCCCGGACATCACCGCGCCGCTCACCCACCAAAGCGATGATC GCTGCTGCCGTTTCCTCGATCGAACGTCGCGTTACGTCGATCACCGGCC >NODE_110_length_289_cov_1.425926 CGATATTGCGGCGCGCGGCCATGGGCGTCGAGCGGCACGTCCAGCGTATAGCCAAGTCGC GCGGGCATGGCATCGGTGCCGCGAATCAGTGCCGAGACGTCGGCTTCCACATAAAGGCGC GCCATACTGGGCGGGAGGCCTGCCGAATCGGTCGGCTTGAGCCGGACGGTGCTGCGAACG GTCGCATCGACGATGACCGGAGCCGCGACGACGAGATCTGCATAATCGGCATAAGCGGGC GATGGCGCGGTGCTTTCCGTAGCTATCGGAGCATGTTGCGCCGCAACGG >NODE_111_length_287_cov_1.079439 CCGGTAACGGGACGAAGACGGGTGCGCGCCGTATCGGCATAGAAGGTCGGGGGTAGCGGC GCGTCGGCGGCATTGATCTGCACGTCGCGATAGCCCCAGCCCCATTGGCCGACAAAGGGC AGAGGTGTCGAACCCGCCTGCGGATCGCGATAGACCAGGTCGTCGACGCAGTGCGCGGCG GTGGTGACACCGTAGCGGATGCCGTCGGTAACCGTGAAACCCGTCGTACAGAGATACCGC CGCCCATCGGCCGGGCTGACGCCCTCGACTCGCGAGCCGCCTTCGGG >NODE_112_length_287_cov_1.060748 ACCTACGCACGATGTTTTACTGGAGTCCGAAAAACGTGAAAGCCGTCGCGGGGGCGAGGC GGAAAGCGCGACGCGGGGAACAGGGTCATGGAGAACAGGACACCGCATCGCTTGCGGTTG CTCGGTGCGTTTGGGCTGTTCGCGCCTGACGGCACCCGCCTGCAGATCACCAGCCGCAAG GGCATTGCCTTGCTCGCCCTGATTGCCCTGGCGCGCTCGGGCGAACGCTCGCGCGCCTGG CTGCAAGCGCAACTGTGGGGCGGCCGCGATCCCGATCAAGCCCGAGC >NODE_113_length_287_cov_0.962617 GGCGGACCGTCACGTCCTCCGCAGGCATCTCCTGCATGACGCGCAGGACGAAGTCGTTCG CCAGCTCCTCGTGGACACCTACGGCAGGCAGGGGATCGACGAGCACGAAATCCGGGACGA GTGCACCGTCGCGGAACTGTCGGAACTGGGGACGTTTCGGTCGCATCTGCGTCTCGTCGC GGAGAAGGCGGGCATCCACTTCGAGCGCCTGAAGCGCGTGAGCATGCAGAGACTCCCGAG CTGGCGTATCGCCGATGCGCTGAAGCGCCACGGGCAGGAGCGCCCCA >NODE_114_length_286_cov_1.446009 CATTACCAAACAAGTACGGATACAAGCCAAATACAGGCGTAGTTTAGAAGTACTTGAAAC CCTGAAAAATGGAGGGATGAGAACGAAAACCGGTATTATGCTTGGTCTTGGTGAAACTAA AGAAGAAGTGGTGCAAACCATGAAAGATCTAGTTTCCGCAGGAACAGATGTAATTACATT AGGTCAATATCTTCAACCCACAAAAAAACATTTACCTGTACAACGATTTGTTCATCCTGA TGAATTTGCTGAACTAAGAGAGATAGGTTACGAAATCGGGTTTGAT >NODE_115_length_286_cov_1.084507 GTTTGCCCACGGCCTGCCATTGGTGCGGATGATGAAGATCACCAGCACCTGTGTCGCCAT CGATTCCAGAAACCACGCGGTACGGAATTCAGGCGGTGCGGCATGGAACAGCAGCACCAG CCCGGCAAAGGTGAGTAAGTCGAACAGCGAGGAGAGCGGCCCCATGATCGCCGCGAATTT TACGAGGTCGCGCAAGTTCCACACTTGTGGCTTCGCAATCGCCTCGGCGCGGACGGTGTC GAACGGAATGCCGATTTCGGACACGTCGTAGAGCAGGTTGTTGAGC >NODE_116_length_286_cov_0.784038 AGTGAGAACAGCGTCGTCGTAAGAGACCCAGGCGGACAATGTGGTCGAGCGAATAGGCCG TGCAGTAAGAGACAACTCCACACCTTCGCTCTTGGCATTGCCTCCATTGGTTCCATATTG GATGCCCAAATCGGTATGCAGGCTGATCTGGATATCCTTCCAGTCTATATAGTAAACCGA ACCATCAATTGACAAGCGGTCATCGAGAAAGCTCGCATTGACTCCGATTTCATAGTTGCG AGTCTTGTCGGGTTTGCTGAACGGAGGTACGCCGCTGACAATGCCA >NODE_117_length_285_cov_1.235849 CCATGGTTGAGCGCGGTCGTAAGCAAGGATATTGAGCGACCAATTCCGCTTCGACGTGAC GGGAGGCACGATTGCCGAGGGGCTGACCACGGCCCCTTCCGAGGCGTTGGTCGCGCTCGC GGTGCATTTGGCGGGCGAGCATGGGGTGGCGCTCGCTGATGAATTGGCGACGCGTCACCC CGCTCCCCGCATGCGCGTGACGGCGCTGCGGGCGCTGGCTTCGCGCCACGCCGGGGAGGC GGAGCGGCGCGCAGTGCTCGCACGCGGTCTGGGCGATCCCGATGG >NODE_118_length_285_cov_0.584906 ATGAGCCTGCGCAAAGGGCATCGACGTGACCTGGCATTCGATTGCCAGTGCGGTCTTCCC GTACATCGAGCCGCTCACTCCGGCACAGAAGACCGCTGAGGCGCAACGGCTTCAGCAGGA TCGCGCTGCAATCCGGGCGGCCGTCTGGAACTCGAACGAGGAACGGGCGCTCGATGAGGC GCAGAAGGTAATCAAAGAGTACTTTCGTACCCGAGCTGCGCAGGAAGCCAGCAGCTTCGT GCAAGAGTGGAAGTCAGCGCGGATCTATCCATACGCCGGAGAGCC >NODE_119_length_284_cov_1.445498 GTGCTGGACGGCCCATGACACCGTCCCCGCCCCGAAACAGCCCGATCGATTTCACCATCG AAGAAGAGGCTGCTGCCATGACCAAAATGATCGACCGCCTGACCGCCCTCCACCGCGCAA TCGACTCCGCCGTGGCGCGCGAGCGCGCGCGTTTGGCCCCCGATCCTGTGCACATCGCCG CGCTGAAGAAGCGCCGCCTCGCGATCAAGGACCATCTTCACCGCGCGCTGACCCGGCGCG TCACCGCTACCGCATAAAGGACCCACACCCGTGCAACCCAATGT >NODE_120_length_283_cov_1.290476 ACCTTGCCCGGCTGGGTGGCGAATGGCTCGCCCTGTCCAAGGCGAGCGTAGCGCGCAAAT CGGCGGCGCTGCGGCGTTTTTTCGCGTTTCTGGCGGATGAGGGGTTGCGGGCGGATGATC CCGGCGGTGCCTTGCCGCGTCCGGGTGCATCGCGCGGTTTGCCCAAGGTGCTCGACCATG CCGATATCGACCGCCTGTTCGCCACGATCGCCGAGCGGATCGCGCGCGTCCCCGCCGACC CCAACGACCTGCGCATGGCGGCGTTGGTCGAGCTATTGTACGG >NODE_121_length_281_cov_1.100962 TTGAATGCCGGTGCCGACGATTATTTGGTGAAGCCGTTTTCCTTCGCCGAGCTGACCGCG CGCATCGATGCGATCTTCCGCCGCGTCGATCGTGGTGCGGGGGAGGGGCAGGCGACGCGC TTGTCAGTCGGTGATCTGGAAATCGACTTGCTCGGGCGCACAGTCGCCCGCGCGGGGCGG CCAATTCAGCTTGGCGCGCGCGAATTCAATCTCCTCGAATATCTCGCGCGCCATGCCGGA CAAGTGGTCACGCGCACGATGATGTTGGAGAAGATCTGGAA >NODE_122_length_279_cov_0.747573 GGTCTAATTGAGGCATTTTAAATGCCGTATCAATTATTCTCACTTGCGGGCTTGCCGTAT AAGGCTTTGGCCTTTGCGGATAATCATCTTTCCAACCTGCTACCGTAAAGTCTTGATTCA AATCTGCATTTACATCTAATGTTCTGTCTGCAATGTCTCTTCCGTCTGCCATACATTCTA CTTTATCCATACAGCCTCTTGTAAATTTAAAAGCATACATACCTGCCGATACATCCTTTA GTACAATTCCTTTTCTACCTCCGCCAAATGGTTTCAATT >NODE_123_length_279_cov_0.747573 GAGATCGGCGTTGTCGGGCGCTCGCGCATGACCAAAGCCGAACTGATCAAGGCGATTCGC GCCGAATGACAGCGGAAGGATGACGGGGGCGGCTGCGGGCGCTAGACCTGCGGCATGGCA GACCTTCGCGAAACCGGCCTGGTGCTGGACCCCAAATATGATTCCGCGGGCTTGATCACG GCGGTCGCGACCGACCGCGTGTCGGGCGATGTGCTGATGCTCGCCCATATGAATGCCGAG GCGCTGCGGTTGACGGTCGAAAGCGGCGAGGCGCATTTC >NODE_124_length_279_cov_0.747573 ATTTATAAGTCTTGACCAAACTACGTGCCAGCAGTCGCGGTAATACGTAGGAGGCTAGTG TTAGTTATCTTTATTGGGTTTAAAGGGTAAGTAGACGGTAAATTAAACTCTAAACGAGTA CTTTTTTACTAGAGTTATATGAGAGAAGGAAGAATTTCTGGAGTAGAGATAAAATTTGAT GATACCAGGAGGACTGTCAACGGCGAAGGCGTCCTTCTATGTAATAACTGACGTTGAGAG ACGAAGGCTTGGGTAGCAAACAGGATTAGATACCCTAAT >NODE_125_length_279_cov_0.747573 GTTATATTGCCAAGCGCAGGGCCGCAAAGCTGGTATCGGGCCGCACCGATATCCCGTTTG TGCCCATAAAAGCCGCAGCGGGTTACCTTGCCGGCTATGCCGATCCGGATTTTGTGGACG AACTAAACACTTTTACCCTGCCCATGCTTAGCGGCGGCGACTACCGCGCTTTTGAAATAG TAGGCGATTCGATGATGCCCACACCCAGCGGCTCTGTAATTGTAGGCGAAAAAGTAGCCA ACCTCGACGAGGTAAAAAGCAACAATACCTACATTGTGG >NODE_126_length_279_cov_0.747573 GGCGAAGATCAAGTGGGTCGAGGCCTTCGTCGGCGGCGGCATCGCGGCGGTCGCGGCCGC CGTCACGGCCGGGCTTGGCGTTGCGCCGCTCGCCGCGCGGATGGCACCGGCGGGCGCGGT CGATATCGGACCTGCCGCAAGGTTGCCGCGGCTGCCGCGCTCGGATGTCGTGCTGCATTC GCGCGTATCCGATGCGCAGCGCGCAGGGGCGGTGCGCACACTTGCGGCGGCGTTCCGCTC GGCCGCGAGCTAAGATCGCACCGCCAACCAGAGCGAGGG >NODE_127_length_278_cov_0.751220 CGCCAGCGTGCCCAGCCCGGCGAACAGATCCGCGCTCACCCGCACTGCGCCAATTGCCTC GCGCACCGCCGCAACCAGGCTCGCCTCGCCCTCGCGCGTCGCTTGCAGGAAGCTGCCCGA GGGAAAGGGCACCGCCACACCACCGAGCGTGATCGTCACCGCCTCAGGCTCCCAGCGCGT TTCGGGGCCGATCCCGTCATCGACCGCCAAGCGCGCAATACCGTGCGTGCCGCAAAACGC CGTGATCCCTTCGGCAATCGCCAGCCCCTCGGCCAGCT >NODE_128_length_278_cov_0.751220 GGATTGAGCTGGTGCCCTTAACATATCCCGACTTGCGAACAATGTGGTTCATCCGTTAGC GCAATCGCACACGCATGATCGAAAATCACACTACCTCAAAGCGCTCCGACGATCCTGAAG GAATTGAGATGCAGTCGTCTAAATCAAACTTGTCCTTTAATCCCCAAAAGCTTCGGCGAA CCGTGCTCGACATGGCTTATGTGGGGCGGACCGCTCATATCGGCTGTGCTTTTTCGATCA TCGAGTTGCTTGCGGTTCTGTATCGAAACCATTTACGC >NODE_129_length_278_cov_0.751220 TCTCATGGCTGACCGTCACACCGTCCATGTGCCCATTCGTCTCCCAGCTCGCACGGTGCT CCTCGCGCGGATCACAGACGATGACCTCGAAACCCATGCTGCGCGCCATCTCGCACAGGT AGCGAGACAGGTCACCCGCCCCAATGACGATGATGCGTGCGCGCGGCCCCAGGTAGGTCA CGAGCTGGGTGTCGCTCATGGTCGGCACGCCATCGCGCTGCCCCTCTCGCAACTCGACCT GCCCGCTTTGCAGATCCAGCACACGTTCGGTGCTGCGC >NODE_130_length_278_cov_0.751220 TGGTCGACCTATGTGACCGATATTCTCGTCGGCGACCACCACCTGTCTCGCATGGCGGTC GACACCGGAGACGGCAGCGCCATCACCGTTACCCAGCCAGCATGGTCCGCACTGGCCGAG AAACACCGTCCGACCAGTTCGACCATCAGCTACGGCGTTGGCGGGGCAGCGATTGTCGAT CTTGCGATCGTGCCCGGAGTGCGCAGCGGGACAGCGCCGGCACGCACCGTCGAAATGCGG ATCGAGCCTTCGGGCGGCTACACCGCCACGATCGGCAT >NODE_131_length_278_cov_0.751220 GAGTGGTGCCAGACAAATCCAGGGTCAATTGAGCGGAGCTCCCGGTTGCCGTGAGGCGAG CCTCCCGGAGCTCGGCGCTTGCGGCCATCGCGGCATTGCCGACAGCCAGGAGCGCAAGGA GGCTCGTGACTTGAAACGCCTTCTTTATCATGAGGTTCAGGAGCTAAGTTGTCTCATAAT CTACGTTCCGGACGGTCTGTTTTCAACTAGCGACACCCATGATTCACCTAACGCAGATAC CGCGGACACGAGATCAACGTGGCCGCGGTATCTGCGTT >NODE_132_length_277_cov_1.132353 ATTCCCGTCCGATTGCCGAGAGGTAGGTCTCGCTGACCACCTGTCCATCCCGTTCCCAGG CCCGATAACGACTTTCCAACCATATAAGCAGTTCGTCGATCGTTCGCGGAAGCTGAATGT CCGGCCCCCCGACCGCACGTTCCAGATGCCATTTGATGAACGCGCGGATCAGTTCGTCGC GGGTGCGATAGTGCCGGTAGACGGTCTGTTCGGTAACTTCGGCGACGCGGGCGACCTCCG CGATGCTGACCGCGGCGAGATCGGCATTGCGGATGAT >NODE_133_length_277_cov_1.132353 TTTCTACGGTTCGACGCTGGTGCGGGTGCGCGCGAGCGATCCGCCGCCCGCAACGCTGGC GCTGGTGGCGGCGGTCGCGTTGGACGAGGTCGTGCGGGCCTATCTTGGCCTTTCGGGGGC GGATGAGGCGCTGCTGATCAAATGGCCCAATGATTTGCTGATTGCGGGTGCGAAGCTCTC GGGCATTTTGCTCGAACGGGCCGATGACGCGGTAGTGGTGGGGATCGGCGTCAATCTTGC CCATTACCCGGATGATACCGATCGCGCCGCCACCAGC >NODE_134_length_277_cov_1.049020 GACATGCAGCCGCGCGGACGAGGCGGCCTGTCTGCTGCTGGACGTCCGCCTTAACGGTTT GAACGGGCTCGATTTCCAGCAAGAGCTTCTCGACCGTCATATCCATGTCCCGATCATTCT GATGACCGGGCACGGCGACATTCAGATGACAGTGCGCGGGATGAAAGCCGGGGCGGTCAA TTTCCTGACGAAGCCATGCAATGACGACGACATACTCGCCGCCATCGCCGGGCCTGGTTG AGGGCGACGGCCTCGGCGATGGCGGCGAGTATGTCGT >NODE_135_length_277_cov_0.754902 GCGGACAACGGGTTCGACCCGCGATCGACAGGGTCCCGTCGGTGGTGGTGAACTTGACGA GCCGCGCGATATCCGCGCCGCCGAACACGAAGAGCATGGTGGCGTCCACGTCGACGATCC GGGCGGTGAGGGCGCCGGTCACCAGCAGACCGAGGGATTCCCGCGCGCCCTCGTCCAGGT CGAGCACGCCGTCGACCGTCAGATCACCGTCGACGACGAACATGACGAGCTCACCCAGCG ATTCGTCCTCCCCGACACCGACCGCCGCCCGCAGATC >NODE_136_length_277_cov_0.754902 TGCCAACCTCATGCGGGAGCAGGTCGATCGGCTGCTCGCCTGTGAGTGGCAGATCCGGTG GGATGGTACAGATACCGACGACAACGCCTTTGCAGTCCGCGACGTGAAAATCTCGAACGA ATATGCAGGATCGCTCGACAAGAATGGCTCATTTGCGCGTGAAATCCGTATGTCGGAGGC CTTTTACAGCCACCTCGTCGATCACGCCGTGCCTCTGAACGAAGTCGCTATCCGGGAACT AAAGGGCACGCCAACCGCGCTCGACCTCTACACATAC >NODE_137_length_277_cov_0.754902 TGGTAGGAGCGTTCAACCGGAAGGACTGAAGCGATGATCGCGGTCGAAGAGTGCGTGCTG ATCCTGCTCGCGGCCGGGCGATCGCGCCGGTTCGGTGACGCGGACAAATTGCAGGAACCC TTTCTCGGCAAGCCGCTGGCCTATCATGTCGTCACTGCGCTGGAGGACGTGCCGTTCAAG GCGCGCTTCGTGGTATGTTCGGGCACCGAGCTCGATTTCGCCAGCCGGGGCTATGCCGTG CTCCACAATCACAATCCCGATGACGGCATGTCGGGAT >NODE_138_length_277_cov_0.754902 GGTACCCACCGCGATGCCGGCCGGCCAGGCCAGCGCCGTGCGCATGGCGGCGTTGCGCAC GACCACGGCCTCGGCCTGCGGCACCACGCCGGGTTCGTCGAGCATGGCGGCGATGCTGGC ATCGAGCGCCTCGCGCTGCATGTCGCCGGCGACGATCTCGCGCAGCTGGCCGCGCGCGTC GACCAGCGCCACCGAGGGCTAGGCCTGGATGCCGTAGTGCTGCCAGGCGACGAAGTCCGG GTCGTTGGCGACCGGGAAGGCCAGGCCGAGCCGGCCG >NODE_139_length_276_cov_1.137931 TCCCTGCACACCCTGATGCAGATGGTGGGCTCAGGGCTCGGCGTCTCCCTCACCCCCGCC ATGGCCGTGCAGGCGGGACTCACCGACACGGCGGCTGAGGCCGTGCGCCATCTCGCGGCT GAAGCCCCCCAGCGCCAGATCGTGGTGGCCTGGCGCGGGGGATCGAGCCGGAGTGAGGAG GCGCGGCTCCTGGCCGAGACCCTGAAGGCGGCGTGAGCCGCCCTTCCCCAGCGGCGCCCT TGCGAGGGGCGGCGCGGCCTGCCTACAGTCCTGACT >NODE_140_length_276_cov_1.137931 GTGCATCACCTGCAGGCCAAAGGCGGGCGGCTGGTCGACGCGATCGAAGCAGCCTTTCCC GGATCTACCGGCCCCGATAGCAATCATGACGTCAAAAGCGCCCGTAACCGGTCATCACTG GCTTCGTCGCGCGGTGGCGTCACGCCGAAAAACAATTCGAACGCCAACCCCGCTTGGCCG ATCAGCATGTCCAGCCCATCGACCGTCCCCAAATCGCGCGCCCGCGCTGCCGCCAGTAGC GGCGTTTCGAGCGGGGCATATACGACATCATAGACC >NODE_141_length_276_cov_0.758621 GGCCAGATGTCGGGATCGACGGTATTGTCGAGCAGGTCCGGGCCAACGAAGCGACGGGTC GATGGATATCGCTGCAGATAAAGAGCGGAGACCGTTTCTTCCGGGAGAGCGGCCCGGAGG GCGTTGTTTTTCGAGATGAGAGACGGCATCTCGATTATTATCGCTCCCATCAGCTCCCCG TCGTGGTGGTCCTCCACTATCCCGGGACCGACGATGCGATCTGGCAGTGGGTTTCACCAG AAAATCCATCGACAGGAACGGCGCTGCCACCAGAAG >NODE_142_length_276_cov_0.758621 GGATGATCACGCTGTCCCGATTCGGAATCACGGTCACACCTGACATTGTCGGCGCCGCAG TGAAATTGAGCGTCCCGCCGCCACCGCTGCCGCTCGAGCTCACACTGACGGTTGCGCTTG CTTGCGCGGAACCGTTCACACCGGTGCAGCTCAATGCATACGCCGTGGTGCTGGTGGGAG AGACCGTAGCGCTTCCGCTAACGGCCTTTGATCCTGTCCAGCCGCCTGAAGCCGTGCAAG CGGTCGCATTCGTGGAAGCCCAGGTCAGGGTTAAGC >NODE_143_length_276_cov_0.758621 GTGTGGTGAGCCTTGAGACCGTGACGCAGGGGCCGGCTCTCGCCCGCGCGGTGGAGATTT TCCACGACGTCGAGGCCGCCGGATGGAAGGGGACCGCCGGCAGCGCCATGGCCTGCCGCA CGGCGCATGCGGCCTTCGCCCGCGCGGTCTTCCGGGCCGAGGGAGGTCCCGTCGGCATCC GGGCCGACATCCTGAGCCGCGATGGAACGACCCTCGCCGTCAGCCTCGCCGTGGTGGCGG GGGGAACCGCCTATCTCCTGAAGACTGCCTATGACG >NODE_144_length_276_cov_0.758621 GATTGGCCTCGCCTGTGGCCTACATCGAAAAGCACAGATCGGCAAAGGCATGTGGGCAGC GCCTGACCGGATGGCGGCGATGCTCGAACAAAAGATCGCACATCCCCTGGCCGGAGCGAA CACCGCGTGGGTACCCTCACCTACCGCGGCCACACTGCATGCACTTCACTATCTCGAAGT TGACGTGTTTGCCCGACAGAAGGCTCTGCTGAGCGAATCGGCGGACGACGGCCTGTTGGA ATTGTTGACTCCGCCGCTTGCCGCCAAGGTATATGG >NODE_145_length_276_cov_0.758621 GTCCCCATGCGGGTGAGCGTTCGCGCGTGCGGTCTTCCATCACGCTTTGCCAGGTCGGCC AGAAGCTGACGGGGACGGCGGCGACCACCAACATGTGCGCCCAAAAGGCATTGCGCGACA CGATCCACACTAGCAGCGCGGCGAGGCACGCGGCGGTGCAGGCCACTTCGCCGCGCGACG GCGCGCTCCACACCGAACGCCGCCAGATCCCGATCGTCACCACCAGACACGCGAGCGTGG AGAGCGCGAACACCCAGCCTTGCAGCGCCGCTGGGT >NODE_146_length_276_cov_0.679803 TTCTATCCGTGGGGCTAAACAATGTACCGAAGCCACGGATAGAACCTTTGGTTCTATGGT AGGAGAGCGTTCTAATCAGCATAGAAGCCTGACTGTGAAGACAGGTGGAGCGATTAGAAG TGAGAATGCCGGTATGAGTAGCGAAAGACAGGTGAGAATCCTGTCTTTCGCGACTCATAC CGGCCGTCACACTTCTAATCGCTCCACCAGTCGTCACAGTCCGGCTTCCATGCAGATTAG AACGCGCTCCGACCATAGAACCAAAGGTTCTATCCG >NODE_147_length_275_cov_0.950495 ATGGTGAGGTCGTCGATCTCAATTTGCAGAGCGGCTAACGGGCGTCCACTTTCGAGCACC GCGGCTCCGAGCGGTGCGCAGCGCCAACCGAAACACAATATCTGCCGGAACCAGCTCAGC TCGGCGACGCCCGTATAGATCGTGATACCTTGGGCCAGAGCATATTCGGCGAGCGCCGTG ATCAGTTGGTTACGCGCCGAACGCCGTTCCAAGACCGTCTGGTGACGATCGAGACAGAAT CGGGTAATTTCGCGGGTTGAGGGGCCGCTCGGCAC >NODE_148_length_275_cov_0.762376 GGTTATCGATGCGTCGTTCCTTCTCGCTCGCGTTTGCGGGCGTTCTCCTCGGTTGTTCGT CAACGGCGGCGCTCGCCCAGTCGGCTACCGCTGCGGAGACGCCCGATGCGCAAGGCGGTG ACATCATCGTCACCGCGCAGAAGCGCGAGCAGAAGCTCCAGGACGTGCCGATTACGGTGA CGGCAGTGACCGGTGCCAAGATGCAGGAGCTTGGTGTCAATTCGCTCGCCGAAGTCGCGA TGTATATCCCGGGCCTGCGTATCCAGGAGCAGAGC >NODE_149_length_275_cov_0.762376 GGACGACAAGAGCTTCACCGTGAGCCCGTACTACGAGCTCACGGGCGGCCTGCGCGTCGG CCCCGCGGAGCTCTTCGCGTTCTACGGCGTCTCGTGGGTGAACATCGGCGTGTCGCACAC GAAGTTCGCGCTCGGCCTCCTGTCTCCTCGCGCCGGCATCGCGCTCGGCTCGCGCATCGG ACGTGGTCTCGCGGTGCATGGCTTCATCGCCAGCGAGTACAACTGGGGTGTGCTGGGGTT CGACGACTTCCGCACGCAGATGATCGGGCTACGCG >NODE_150_length_275_cov_0.762376 GGGCTGGACCGTGTATTTTTCAGCGGCAGCCCTTTGGGGCGCCGCGGTGGCTTTCTTCAC CGTGGAGGTGGCGGCGCTGGTGTCTTACAGAATGGCCTGCAACTGCCGCGGCTACGTGGC GGGAGGCATTCAGTTTCTGGCGATGTACTCCATCATCTGCGGCGTCTGCGCCTTCCTGGA CCTGCCCAGCGAGCAGGTGGCCCGCAGCACACACCTTTTTCTCCTGCCGGCGGGCGCCGG GGCCCACATGGGGCTGCGAGGCGCCAAGCCGTGGC >NODE_151_length_275_cov_0.762376 GATGCGATCCGCCGATCCGCCGCCAGATTCGTAGCCATGCGATACAGATAGGCGGCCGGC TGGGCGACGGGCGGCGCGCCGTGCTGGTCGAGCTTGAGCCAAATATCCTGCAGCGCATCC TCTGCATCGGCGGGATTGCCGAGACGTGCCGCGAGCAAGCGCAACAACATCGGCCGTTCC GCCAGGAACACCGCCTTGAGACCGGCCTCGGTCATCGATGAAGAAGCAGCCACGGCATTC TGCCGTCTAGAGCGCGCCGCGCGTCACTTCGCAAG >NODE_152_length_275_cov_0.762376 TCATCGACTTGATCGCCTCGACCAGCGTCGGCGGCAATTGCGCCAACTGCGTTTCGCTCA ACCAGTCGAGATCGCCGTCGGTCGCACGCGTGGTGGCGTCGGACAGGCGCGCATAATAGC CGAACGTGTCCTCGCCCTTTTCGCGCTTCTGGATCGAACCGATAATCTGTTGCGCCTGGT TGAACACTTCCTGCGCGCGATCCGGATCTGCCTTCAGGTAGATTTCACGCACGTGATATT CGGTCGTGCCCTGCTGCTTCTTCAGCTTCTCGATG >NODE_153_length_275_cov_0.762376 TCAGCACCGAGGGGGAGACCTCATCCTGCAGGCCGAGCCCCATTTCGAAGTCGAGGAAGA TGTCCATCAGCTCGTGCGGGGTGAGCACGCTGCGGCGCTGGCGGTTGAAGCAGAAGCGCC AGAAGCTGACGATGTGGCTGATGACGCCGATCTGTTCGCCCAGCTTCAGGAACATGGCCG GCGATTCCAGCAGGAAGTCGCGGAAAGCGATGGCCGAGGCCTTGCTGGATGTCTATGACG ACGCCTTCGGCGCCTTAACCCAGCACGCCAATCCC >NODE_154_length_274_cov_1.641791 CGGGGGCAGCGCGAATAGCGCTGGTTCGCGCTCAACCTCCGGCCAGAAGAAGACCGCGGG CAAGACGCCGGCAAAGAAGTCGGTTGGTGGCTCACGCGGAAAGACGGCCGGTGCGAAGCG CGGCAGCAGCTCGGGGAATCGCAGCAGGAAGTAGTACGCAACGTGCGATCGCTGACGACG GCGGCATTCATGCGAATGCCGCCGTCGTTGCTTGTTGTGCGGCTCAACGGTGTGCGAAGA GCGCACGATCATTGCAGCGGCACACGCGTCAAGG >NODE_155_length_274_cov_1.502488 GGTCTATGCCGACACGTTCACTCGCACCTGGCGAGGGATGTTGGCGCAGAAGCTCGGGTT GACGACTCTGGATCGCGCGGGGGACGAGGAGTTGGTGCGGGAGCTGTTCGGGTTGTTGCA GCAGACAGAAACCGACATGACGCTGTTTTTCAGAGGGCTGGCGCGAGCGTCGACATCGAG TATCGAATCGTTACGTGCTGCGTTCTACGTGGACGGCGAGCCGTCCGAAGCCCATCGGGC GCGATTGGTGAAGTGGCTCGCGCAGTACGAGGGC >NODE_156_length_274_cov_1.427861 GATTAAGCGTGCGGTTCTGACCGACGAGCATCGCGAACTCGACGCGTTGGCAAAGCGTAT CCTGGCCGAGGTCGGGGGCGATGGCCCGAGCGTGGAGTTGTCGTCGCTGCGCTGGCGGCT CAATCGCGTGCTGACCAAGCACCTCGCGATGGAGGACCAACTCCTGTATCCGATTTTGCG CGCGAACCCGGCGACGGCTTCGCTGGCCGAGCTAGTGCTGGCCGAGGTTGGCGGCACCGC AAGCACCTATGCGGCCTATCATGCAGCTTGGCCG >NODE_157_length_274_cov_0.766169 GGGCCATGCCGCGCCGTTCGATTTTACCGATGCCTATCAACCGGCCAGCGGCATGAAACG CTGGTTGGCGGGCACCCCTTCGATGCTGGGGATGGCGGGGCTGGAGGCGGGAGTCGACCT GTGGCGCGACGTCGATCAACAGGCGGTGGCGAAGAAGAGCGCGGCGCTGTTCGACCAATT CGCCGCCATCGGTGCGCGCCTGAACCTCGAATGCGTCAGCCCCGCCGATCCCGAACGGCG CGGCAGCCATATTTCGTTCCGCCATCCCCAGGCC >NODE_158_length_274_cov_0.766169 GCCCAGGCCAGGTCCCTTGCAGCAATGCATCCAGCAGCATGGCGCGCCCTTGAAAGCGTT CGATGGCCAAGCGGTAGTGGCCATGCATCTGGCGAAAGAAGTCGATGGCCAACAGGGCTG CTTCCATCGTGCGCATCAATCTGCGGCCAGCACGTCCAGTGCGAGCAGCTGCTCTCTCAA GGCATGCAGCGCCCGCCAGTTACCTTGTTCAGCAAAGAAGGGGTCCTGCCCCTCGATGGC CAGCACCGCTTCGGGCTCCGACCAGTAGATGCGG >NODE_159_length_274_cov_0.766169 GATCGCGGGCTTTGGCTCAGAGCCCGCTGAACCAGTTATAGCCGTACGTTTCCCAATAGC CGCCAGTATAGTCATTGCCGATCGCGATCTCGCCAATGTGCTTGGGGTTCTTGAACCCGA GCTTCGTCGGCACGCGCAACTTCATCGGGAAGCCGTGCTGGCGGGGCAACACCGCGTCGT TCATCCAGAAGCACAGCTGGGTTTGTGGATGGAGCGCGGTCGCCATGTCGATCGAGGTGG TGTAATTGTCATCGCAGCGGAAAGTGACGTATTT >NODE_160_length_274_cov_0.761194 GTGTTTTGACAGGGTTGGCGATGACGGCGCTGGTCGCAACGGCCGCAGTGGCAGCGGTTG AGCCCGCCTCCAAACATTCGCCGAAGGAGACGCAACGGGCCGTCGCCGCCGGGCTCGCCA ATGCCGAGCGCGCCGATCAGGCCGGCGATGACGCGCGGCGCAAGGCCGCCGAAGTGCTGG CCTTTTCGGGCGTCGGACCGGGCGACGAGGTGATCGATTTCTTGCCCGGTGGCGGTTATT GGACGCGCATCTTCACAGGCGTCGTTGGCAAGGC >NODE_161_length_274_cov_0.746269 GTCACCGCTGACCTCATCGGTCAGCACAGCCTTGGTGGCCGCCTTGCGTTCCAAGACACG CTCGGCCATGGCCCTGCGCACCTTGGCGGATTGGACGCTCAAGCCCCGCCTACTGGCTGT GCCCGGCGTGGCCAAGGTGTCAATCTTTGGTGGCGACGCCAAGGAGATCCAAATCCAAGT CCATCGGCATCGCCTGACCAAGTACGGCTTGACGATGAACGACGTGCTGGACGCCGCCCG CAAGGCGCTGGGTGTCCACGGTGCAGGCTTTATC >NODE_162_length_273_cov_0.770000 GTTGAATGCCACTGCGTCATTTAGCTTCCAATATCCGACCGCGCCACCGTCGTAGCGGCG CGTCTGCAGTATTTCGCGGAATGGCGCACCGGTGGTCGGTAGCACGGCGCCCAGCATCGT GCCGCCTTCTCGGCGCTCATCCGTGATGCCTCCGGTGAGAAAGACCGATTGGTCCTTCCC CGAATTCCACCATATACGCGGTCGCACGGAGTAGCGACGAAAGCCAGGTATGTCAGCCCA GCCGTCGTGGTTAACGTCCTCCCTCGACTGATC >NODE_163_length_273_cov_0.770000 CCGCTACCCCACGCCCAACGCCGCGGCCCTGGCCCTGATGCCGGACGACTACCGCAACAA CACGGCGATCTTCCCGCCGGCGGCGGCCATGGCCAAGTGCGAATATGCGCGGTTCGAGAG CATCGCCCGCGCCCAGCTCAACGACGAAACCCTGACCCGGATCTTCGCGGCATGAGACAG GGAGGCGCGCATGGATGAGTCGTGGAAGCGGGCCAAGGCGGCGTTCCTGGCGCTGGGCGG TCCGCCCATCGTGTGGCTGGCCGTGTTCTTCAT >NODE_164_length_273_cov_0.770000 GTACAGGGCAACGGTGACGGGCAGGCCGGCTGCGGAGCTTTTCGCTTTGGGATTTGAGCC GATCAGATCGTAGGCACCCCGGTTGATCCAGCGGGTGTCGCCATCGGCGAGTCGGTCCTT CACCACGGCGCTCGGCAGCGTCAGCGCACCGACGAGATCCCAGCCCGACAGGGCAAACAC GCCTGGTTGGAATGCGTTGTAGAACGCGAGCAGCAGGTGTGTGCGCTCTATCTTCTCGAT CTCAACAACTGACAACTTTGAGATGTTCTTTAT >NODE_165_length_273_cov_0.770000 GGACAGATGCTTGCGTGTCCTGGAGATCGATCGTGTTTTTAGATGGTGATGCCCCTGATC GATAACCGGCGTTCTGCATTAAGGTAGGATTGCGATATACGCCGAGGGCGATGATCGCTC CCTGTTCAAGATGCCAAATGAAATCACGCGTGCGGGTTCGCCCAGATCGTCAGGCGAAAT CTGTATATTATTTCACATGCGGCGTAATGATTGCGCGCTTTGATACGGCCCACGCCCTCT TTCGCGCTTCGGCACAAAAGCGCGGTGAGAGGG >NODE_166_length_273_cov_0.770000 GCGTAAACCTGGAAGCTGTGGACGAAAACGGGCTTACGCCTTCCTGGCTCACGGTAGATG GCAAGCTGTTGCACAATACACCGTTCACTTCCGGATCAGAAATTTCATTTGCCTTTGATG CCACCAATCTTTCCATCGGCACCTATTCGGCTTTTGTAACGGCTGCAGCTCCGGGTTACA AAACCGCGGTAATAAACGTATTTCTGACTGTTAGATCCGAAGCCTCCGGAAACCTAACGA CTTTAAAAGTAAACTTCCAGGATTCTGCAACGG >NODE_167_length_273_cov_0.770000 GATGTCCGGAAATCAGGTTTACCGAGAAGTAAATTCTTATAACAAAACATCAACCTTTTA TCCTGAATCTAAACATTTTTATGCAACTGATTCTACATTCACAGTTACCGCAAGTATTTT GCTTAATCAAAAAGCAGATCAATTTAAAATCGCTTTAGGATTAAACGAAGAAGCAGAATC TCACAAAAAGGCTCTCGAAAATATCAACTTACGAATTGCAAATTTCTTAAAAAGGCTGAG TTCATTGGGAATAAAAAAAGAAGAGGTGTATGT >NODE_168_length_273_cov_0.770000 GTTCAACCACCATGACCCGGCTGCGAACGCTGCGGATTACGCGTTTCTGCGCGAGGGCGT CCGCCGGTTTCGCGCGGCCCGCTACAACCCGGCAGCCCGCAATCAGTTCTGGCTGATGAC CGAATGCCCCGTACCGCCCGCAACGATCCACGCCATATGCGACGCTTTAACGCATGGTCG CGACGGGAACGTTTTAACATTCCTTCATGTGGTGCCTGGCCGCCCGGAACCCCGTCTGGC GGACCGTATGGACACGCCGAATCTGCGCTGGCT >NODE_169_length_273_cov_0.770000 CGGTCGAGGATCGATTCTGCTGTCGTCACCAGTTGCATCACCACCGATTGCCCGCTCTCG AGATGGTGCTGAGCGGCAGCAATGACGGTCGGCAGCTTCATCGAGAGCAGAACCTGGCCG AAGAACCGCTGTTTAGTCGACTCGAAGCGGGAGCGAGCAGAGGCTTTGGCGCCGCTATTC AGCGTCGCGTTCTCCAGGCCGTCGACGACAGCCGTCAGTTCGAGGGCCTTTTCCATATTC TGATGGATGATCGACCAGGCATCCGCATAGGTG >NODE_170_length_273_cov_0.765000 GTTCTCGAGCAAGCACGCTTGCCCCGTGTGCGGCTACAGCGTCCCCACGCTCGAGCCCAA ATTGTTCTCATTCAACAATCCGGCCGGCGCATGCCCCACCTGCGACGGGTTGGGCACCAA GGAGTTTTTCGATCCGCATCGAGTTGTTGTCAATCCGGATCTGTCGCTGGCGAGCGGCGC CGTTCGCGGCTGGGACCGGCGCAACGCACACTACTTTCAACTCATTCAGTCACTCGCCAA ACACTACGCCTTCGACATAGAGACCCCCTGGAC >NODE_171_length_273_cov_0.740000 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCTCTT TAATGATACGGCTCCCACCGAGATCTACACAACTTGGTGATCGTCGGCAGCGTCAGATTT GTATAAGAGACAACGCTTGCACCCTACGTATTACCGCGGCCTTCGGGTTGTAAACTCCTT TCGCCAGGGACGAAGCGTTTTGTGACGGTACCTGGAGAAGAAGCACCGGCTAACTACGTG CCAGCAGCCGCGGTAATACGTAGGGTGCAAGCG >NODE_172_length_272_cov_0.869347 GCATGAAGATGGGGCCGATGAAAATGAACGGCGTCAAGGCAACGCTGGCTCCCGACGGCA AGACACTCGTTGCCACGCTCGCCAAGCCGCTGACAGCTGGAACGTCCAAGCTCGAGTATC ATGTCGTCTCGACCGACACCCATCGCATCCAGGGCGGATACACGTTCAAGGTCAAGTAAG ACCATGCCGGACATGGTGGCAATCGCCGTCAGGCTTGGACTCTATCTTGACCTGATGCTT CTTTTTGGGCTGCCGATGTTCGGGCTCTACAC >NODE_173_length_272_cov_0.773869 GTGCCCTTCACATCCGTAATTTCTGAAAATGCGCATTGTATTGGACAAGCTGTGGGTTGG CTGCAAGAATTACACTGATCTTGTTGGTTTTGGTGAAGGAGGATGGGGTCGTGTCCTCAT CGCTGGCGCGGGCGTCACGTCCGCTATCGCCGTTTTGGGGTTCCTCATCGGGTCTATTCT TGGCAGCCTCGTTGCCTGGGCAAAAATGTCACCAATCCGTTTGGCTCGTGGCGTCGCCGA CGCTTACACGACCACACTGCGAGGCGTGCCTG >NODE_174_length_272_cov_0.773869 CTTTTGCCGCGTTGAAGCCCGGCGTGACCGAGCTCGAGATTGCAGGTGTTGTCCGGGACT ACTACAAGGCAAACAATGCGAAGCCGGAATTCACCAGCGTCTGTTTCGGTGAAAATGGCG CATATCCGCACCATCACACCGGCGAGCGTGTGCTGAAGGCCAATGAAGCGGTGCTGATCG ACATTGGCGGGCGCAGTGACGGCTATCCCAGCGACATGACCCGCGTTGCCGTCTGCGGTG AAACGCCCGCGGATTTCGACAAGGTGCACGCG >NODE_175_length_272_cov_0.773869 CGACCGTAACGTAGTTCCAGGTTGGCACCTGATTGGCGTCGAGGCCATACCAGTCCGGGC TGATATAGCCGTCCGGGCCCTGTACGGTGAACAGGCCGGTCGCTCCGTCGAGATGCCGCG CGATGCCGTTGCCGCGCGCGACGTGGAAGGCGAGCGTGGTCTCGCCCTGCCAGACGACGG GAAGATGGACAACGCGCGGGCCATCGGGCGTGGCCGCGAACAGCGCGCCGAAGCCGAGTT CGGACACCAGCGCCCGCATGGCGTCGCGGTCT >NODE_176_length_272_cov_0.773869 TCACTATCCAGCAGTTTGATCTGGATCAGCGGGGCCTGCCCCGACTGGCTACCCCGGAAG AAGGTGTTCGGCCCCCCCGCCGGCGCCGAACTCAGGCCCGTAACCGACGGAAAGACAATC GACATGTCTTTCAACGCAGCAGAGGCCGCCGTCTGCAACGAAAAAGCTGCGAGCCGCGAT TCGCTGGATCCGTTGTATTGGTAGATTTTTGGGTTGATCTTGCGCTTGGTCCCCGAGCTC GACGAAGCCAGCTGCAGCGCGACGCCTTCAAC >NODE_177_length_272_cov_0.773869 GGCGCGAAGGATGGCACAACCGATCGCAAACTGGCTCGAATAGGTGAACACCTGATCGTC GCCGGCATATGGATCCTTGGTCGCAAGTCGAACCGACTGAGCGCAAGCAAGACATGCCTC GAAGCGACGGACCCAGCCTTGCCCAAAGGGCGCAACCGAATTTGCGACGAAGGAGCCGAC AGAGGTAGGCAACACCACATGCAGTTCTGCGCCGCAGGCAACCAACGCCTCAGCCCATAA AATGTCCGCTCCGGCAGCCAGCCCCCCATAAG >NODE_178_length_272_cov_0.773869 GGTTATAGCTGCAATACGCTCACTCTCATATCTGAAGCTTCTTAAATCTACCCAACGGTA TTCTTTCCCCGCAGGGAATAAAAAATCTTGCTCTCCGTTATACTCTAAAATATTTCCGCG AATAAATGAAGGCTGCATATTTACAACGGCATTATCCCATCTGTAATTTTGCAACACCAC CATTTTCACTTGCTGCGTTGCACTAAAGGGATCCAGCTTACCCAGGTTAATGCTTATTTG TATTTTTTGGTGAGTGGTACCCAGGTTATTAT >NODE_179_length_271_cov_1.424242 CCTGCGCGCTGGCCTGGGTGCCGATCGCGCGTTGACCATCCTTGCCAAACTCGGCGCAGG CATGGCCGAAGATACGATTATCACCGGCGGCAAGGGGCGCTTCGGCGTAACGGGGGTCGA AGCACAGGCCGAGATCGACAAGTTGAAGGCCGATCCCGAATTCCAGAAACGCGTGATGGT GCCCGGATCGGCCGAACGGACGCGGTGGGACCGGCTCAACGCGGCAGCGGCGGCTGGCAA GGCGCGCGCGGACCAACAATTGTAAAAAAGA >NODE_180_length_271_cov_1.166667 GGCGACGATGCTGGCGTTCGAACAGGCGCTCGCGCAGACCACCCAAGTCGGCGAAGCCCA TCTGATGAGCGGCGAATCGGACTATTTGCTCAAGGTGCTGGTGCGTGAAGACGACAGCTA CGAGCGAATCCACCGCGAAGTGCTCTCGACCCTGCCCGGCGTGCATCGGCTGGTGACACA GTTCACCATTCGTACATTGGCGAGCGAGGAATGATGTACGTTTGGCCGTGGCGCGTGCCG TTGCGGGGGGCGGGGACGCGTGCTATTGCGC >NODE_181_length_271_cov_0.777778 CACTACCAGGATCTTTCGCTTGGCAGGCATTCCTTTCCGCTAGCGCATCGCGGCCCCAGC GGGAACACCAAACCGGCACTTGGAGACAATACCCGGTCGATCATTCCCGATGGCGCGTGC GATGGCCGGGAAGGTCAGCCCTTTACGAAGGCAAGCAGATCCGGATTGATCACATCGGCA TGCGTGGTCAACATGCCGTGCGGATAGCCGGGATAAATTTTGAGCGTCCCGTGCTGCACC AGCTTGGCCTGCAGCAAAGAGGCATCCTTAT >NODE_182_length_271_cov_0.777778 GCCCAAAAGACCGCCCTGACGTCCGTAGTCGATCAATTGCAGACCGGCCTTGGATCGCTG CGCGCGGTGAACGCTGAAAATGGCCGCCGGACCACGCAAGTTGAATCGATGATCAATAGC GGCGACCAGCGGACGACGTTGCTCACCGGGGTGATCGGCGCGAATGAGGACGCCGATCTG GGCCAGGTTGCGACCGATATCTCGCAGCAAAAGACGATCCTGGAGGCGAGCTATTCAGTG TTTTCGCAGCTCGCCGGTCTGAGCCTTGTGC >NODE_183_length_271_cov_0.777778 TGCCTGGCGTGTTGCTACGCTCGGTCTATCCCTCGCAGACCGGCAATCTCACTCCGCGCG CGCCGCAATATATCACCGATCAGAAGAGCCCGCTCAAAGAGCGATGGGGCGGCTGGTACG TCACCGGCGCGCTGGCTCCGGCAACGATGGCCAATGCCGCAACCGTTGCGGGGCCTGCCG ATGTCAGCCCGGGCGCTGACAAGCCGCTGCCCAGGCTCGCTCCACTCGAAAAACCGTTCG ATGCGTCCGCCTATCTCACCCGGACCAGCGA >NODE_184_length_271_cov_0.777778 GCCTTGGGAAGCAGGCGAGCGTCACGCAAAACACGCTTGGCTTCAAATTCAAGCGCGAGA TGTTACGCGGATTTTTGGCTGAAGAAACATATCTTGCGGGCCACCCTGTCGCGCCTACGC TCGCCCCCGGGTCGGTGGAAGTTATTGATCGGACCTACGTCTCCAATAGCGACAATTTGC CCAAGGCGCGGGCGCTCGGAGCATTTGCAGATTGCGTAGTCTTTAACGATGTGAGCGGGT CGGATGCGTTGCTCCGTACTATGCCCGCAAG >NODE_185_length_271_cov_0.777778 GTTCCCACGTGGGGATAAAGGGCTTCAGGAAACAGTTTCGCCACGGCCAGCGGGGTAGCC ATGTTAAAACAGATTTATATCGTCGATGACGACGAACCGGTGCGTAAATCGCTGCAATCC TTGCTCAACATGCGCTCTGAATTCATCATCAGCACCTTCAGTTCGGGCGACGAATTTCTG GCGGCGGCACAAACCCTCGAACCCGGAGTCGTGCTGCTCGATGTGCATATGACCGGCGCG TCCGGGATCGACGTACTGACCGCCATTAGCG >NODE_186_length_270_cov_0.781726 GGTGGGTAGTGACCTCGGGTAGCATTCAAAGCTCAGCGAGCGTGATGGCGCGTGGTTGAC TCACATCAAATCGGAATCCGAGCCATCCGCTAAGGCTGGAACGAAGGGGTGCAAAAAATG GCCGATCGACCAGTTAGCAATAGCTCGCCGCAATTCGAGAGTCTCGTCGCGCGCTTGCGA GCATTTCTCGCCCGCCGCCACGAATTCGATCTGATGACCGCTCGGGAGGTCGATGAGATT GCCCACGAGCTCAATCTTCCGGCATCGGAT >NODE_187_length_270_cov_0.781726 GTCACCCACGAGATCAATTTCGCACGGGAGGTTTCGAACCGCATCATTTTTCTGGAAAAG GGTACGCTCATCGCGGACGCGCCGCCCGCAAAACTCTTCTCTGAAGCTGCACCGGACCGC TTCAAAAAGTTTATCTCCAAAACCTTACACACTTCCTCCTAGGCCGTCCGCGGCTCCGGT TGTGCGGTGCGCCACAACGCTATCGTGTAGCCTCCAAGACACTAAATTCTGAGCGGCATG GCGATTGACATGCCGCTATCAGTTATATAC >NODE_188_length_270_cov_0.781726 GTCCGCAGGCGGTGACGCGTGCCTTCGATCGCTTCGCGCAACCGGGGATCACCCGCGACG GGGAACGCGCTTTGGGATTGGGCCTGCCGCTCGCCAAGCAGTTTGTCGAGGCGCATGGCG GCACGATCGAACTGCTGTCCGAAGCCGGGCAGGGGACGTTGATCACTGCCACCCTGCCGC GCCGGTGAAGGCGGAGCGGGGTCGATATGATGCTGACAGGATGTTGAGATGATTCTGGCC GGTCCTCAAGCGAGCGAATCATCTCAACAT >NODE_189_length_270_cov_0.776650 CGATCGTGAAGCTCCTCACGCGCGGCGTGTCCGCTGGCCTTGCAGAGGCCGCGTGCGACA CGCTGGGAGACGTGCAGTCGCAGGACGCGACCCCCGCGATCGTCCCGTACACGCGTCATC GCGAGGTGAAGGTCCGCCGCGCAGCTGCGAAGGCGCTCGCGAAGACGCGCGGCCCGGAGG CCATCAAGGCACTCCGCGCGTCGCTCTCCGACAGCGATGCGGTCGTGCGTGGCCTGGCCG CGACCGGCCTTGGCTCGCTGAAGGCGAAGG >NODE_190_length_269_cov_0.785714 GTGTAGTGAGAGCGTCGCGTCGCTGACTTCGACGTTGCGCGGCACCTGCGCCAGCGTGTT GAACCCGTCGAGATCGAACCCGGCGACCTCCGCCATGTGGGTTTGAGCCGCTCCGCTCCA ATTGGCCAACGCGACCATCACTGCGCCGCCCTGTGGGATCATCTGCCCGCCGGGAGCCAG CAACCGCGATGCCGCATCCGCCAGCGTGTTCAGCACACCTTCGGCGAGCAGGTTGTTCGA GACGATTTCGGACACGATCACATCGGCGC >NODE_191_length_269_cov_0.785714 GCTCGATGGCGTCCTCGAGGGTCTTGATGCCCTTGGCGTTGTCGGTCGGGTCGAGGATCA GCGCCGCGGAGAAGGCGGGGCGCCAAGGCCGAGGCCGTGCTCACCAAGCTGCGCGCCGGC GACAAGCTCGCCCTGCACGACGGCGACACCAAGACCGAGTACGACGGCTTCGCCGGTAAC CAATACGTCTCCGCCCGCAGCAAGACCCGCCCGACCGTCATCGACCGCGACCGCTCCCCG CTCGCCGAGAGCGACGGCAAGCCCTACGC >NODE_192_length_269_cov_0.785714 GATTGGGGTTGCCCATGGTGATCGAGGTGGTTCCGCCCGCTTCGGCACCCCCGCTCGACC GGTTGATGCGCTGACCACCGGCAAGTTGGAAGAAGGACGGGGCGACATAGGAGCGCGAGA CCGAAAAACGATACACGCTGTTGCCGGTGGGCCGATAATTGACCGCGAAGCTCGGCAGAA CCTTGTCGTAGGTTGTTTTGCTCGATGCAAAATTGCCGGCGATCTCCGCACCGGTGCCGT CGGTGGGCAGCACCCAGAAGGTATTGGTG >NODE_193_length_268_cov_0.851282 TAGCAATGCCAGGCGGGATAGTGACACGTCCTGTCGTTGACCAACTGGTGAAGCGCAGCG ACGGGCGAGGGTGGTCGCCACGCGCAGTCATTGATATCCCGACGCCTGATAGCTTTCTGG TTCGCTGACTGACGATGCGCTATTCGTAACCGTCGGGCGTCAACGGATGACGCGGCGCAC CCTGACCTATGCGAACGTAGTGTGCCAAAACCAAGGCGGCGATTAGCGCTACGGCGGCCA AAAACATGGCGCGAAAACGAGCTATCAA >NODE_194_length_268_cov_0.789744 GCTCATAGGCTTGGTAGCGGGCCATGAAATCCTCCGGGTCGAACGCCGGAGCCGGGATTT CGTCGGTCATGATGGATCTCCTTGAAACGCGAAAGCCCGGCGCTGGGCCGGGCTCGATGG GGTTCGGGAAAAGAAGGCGGGACGGCCGCAACCGCCCCGCCCGGTGCCGTTATTCGGCGG CGACGGCGTAATCGGCCGTCTGGTCGACATCGTCGGCGAGGAAGGCCGGAAGGCTGCTGG CATCGTCCGCCGGATCGTCGATCACAGG >NODE_195_length_268_cov_0.789744 TGTAAAGGAACTGAGAAAAATCATAATCTCTACCCAGTTTAAGACGTGCCATGCTTTTTG TGTATACCGAGAAAATCGTAGCTTCTTTATTGTCATACAGTTGAATGCTGCCAGCAATCT TGGTGGGCACATCAATTCCTGGCGCTGCGTAGAAGCCCGGACCCAAAAACTCACGACCAG GAGTGCGTTGAAATATTGGATCAAGGTTAGCCTGCAGGCTTTTCAGATTTTCAGACGCAC TCGCGTGCAAACCAACCATGTCCCACTC >NODE_196_length_268_cov_0.789744 GTGTCAGGTAAAGCGCGGCCAATCTGCGGCAAATCCACCTGCAGCGTCGGGTTTTCGATA ATCAAACCCTCTTCCAGCAAATACTGATAGAAGCCGCGTGCACCTGATAAAAAACGCGCC GTTGAGCGTGCCTTATAGCCTGCCTGTAAACGCCAACTTAAATACTCTAATAAAGTATCG CGCCGAACTTGTTGCAAAGTCTGCCCGCGTTGTAGCAACCACTGGGCAAACTGCTCCAGA TCACTGCGATAGGCCATGCGTGTATTAT >NODE_197_length_268_cov_0.789744 GATCATATTCGACGGCATAGCCCGGCGCGACAATGCGCGCATGCTCAAGCCCCGGGATCG AGGCGATCATCGCTGCCTGAATATCAACCGGGAGCGACGTCGAAATCCCGTTGGGATATA CGGTCGCGTCGTCCAGACCTTCCGGCTCCAGGAAGATTTGATGGCCGTCCCGTCCCCTGC CCCAATTGCATTGCGCGATAACCCGAACGACCCAGGAAACGCATGCGATCATCCGCAGCG GACTGGACCGTTCGCCGCTATTTGGTGG >NODE_198_length_268_cov_0.789744 GCTCAAGCGTCTCCTGAGGCATCTCTGCTAGCAGGCGATCTGCGCGCGTGAGACTTTCAG GTGGCCGTAATTCAGAAAGAAAACCGGTCGCGCCTTTTCCGTCGCGCTGCTGCTTGTTGT AGCGGGCGTATGTCTTGGCCATCTCCTTATCGTCACCGGTGAGCGGCTTGTAGGCCTCAT CGGGAATGCCGCGTTCCAGCATCGAACGGTCGAAGACTCCGATCAGGCTGTCCCCGCAAC GGATTTGAGCATCAAGGAAGGTCAGTGG >NODE_199_length_267_cov_1.190722 TCGTTCTGTCCGGTCGCGTCCGGATCGGTCGGAGTGATCCTGACCGGCATGGGATCGGAC GGGGCGCAAGGCCTGCTCGAAATGCGACGCGCCGGTGCGCGCACGCTGGGGCAGAACCGG CAAACCTGCGTGGTCTACGGTATGCCGCGCGCGGCGATGGAAATCGGCGCGGTAATGGAA GAAATCAGCCTGTCCGCCATGCCCGAGGCGATCCTTGCGGCATGCCGGGCCAAGCCCCTG GGAATTGTCTGATGCCTGCCGCTGCAC >NODE_200_length_267_cov_0.793814 GTCTTCGGGTCAAAGGCTAGATTCCTCACATATTTAGCGGCGCCAACCGATGTTGCCCGG TTATATCGCGAGGGGTTGCTGATCAGGCTTTTTGCTTTCTCAAGCGTCGGCGCTCGGTCT GCCTTTGCTTTCAAAGCATATTTCTCGCTATAAAAAATGACTTGTTTTTCATCTACTCGT TTTTTGATTTTCTTCCCATTTCTTGAGGTTACCATGATTTCCCTTGGATAGAGCCGGGAT TTAATCTTGAATCCCTCACCTATGGAC >NODE_201_length_267_cov_0.793814 GTTATTATCTCACCTGAAACATCCACATCTCAATTTATTACCGAACACTTCGGGGGGCGC GTAATAAATTGAGATGTGGATGTTTCAGGTGAGATAATAACGCATCGGTATCTGTTTCCA GATCCACGCGTTTCAGGGCAACTGTTACCATCTCTGTTTCCGATTCCAACACGGCGAGCT CCATTTCGTCAGATGAACCGAATTTGCCGGTGCCTAAAAACAATCTCGACTGAAAAACTT TATCAGCTATGATGAGAGGCTTCATAC >NODE_202_length_267_cov_0.793814 GGCTGAAGGTTTGCCATGGACCCAGGATTAAAGGTTTCGGCTAGATGCGGTCCGCGCAGA AGGATCGAAGTCGTGTAAGCGTACGTATCAAGGACATTTGCAGCAGCGGCCACGCGAGGA TGAAGGCTCGGCAGAGCTGATTCGACCACGCCATCCGGAAGTTCCACATTGTTGATCCTG GCCCTCATACGCGAAACAACCATATTGCCCGTACCTGCTATTGCACTTGTGCCAAAAGCC AAGTGAGTAAGAAACTTGATCCAGAAT >NODE_203_length_267_cov_0.793814 GGACAATGAATGAACGCCGCCGGAGCGCCTCGCATGAGATTGTGGCGCCTCGAATCGCGG CTTATGCCGGATTCCCAACGGATCAGGATGTTCCCGGCGGTGTTCACAACGCGGCGGAAG CAAAGAAGTGGGTCGATGCTGTTGCCGCTGCCGGCGCCGACGGCATCAAGTTCCTCGGAT CCCCGCCCGATGTCATGCAGGCCGCGTTGGCGGAAGCGAAGGTGAAAGGTCTTCGCAGCG CCTGTCACCATGCCCAGCTCGCCGTAT >NODE_204_length_267_cov_0.793814 TCGCGGCAAGACGTTTGGTATCGCGATCCTGGTCCTTTCTACACTCACCGCCTGCATTCC GAACCCCGACCGGCCACAACGCGGTTACGACACCCCGCCCCCCTATCAGCCGCGCGACGA CCAACGGCCCTATGAACCGCAAGGCGGGGATCGCGCCGAGCGCGAGCAGGAGCGCTACGA ACCGCAACGCATCGATGCGGGCGTTTCCGCCCTTCCCGCTCCGCCACCAGCCTGGCAGGC GCGGCCGGTAACCCCCGATGCCGAGAC >NODE_205_length_267_cov_0.793814 TTGAAATCCTCGACCCCGAAACCGGCCTGGAAGTTCCGGACGGGCAGGAAGGGGAACTGG TGGTAACCAACCTGGGAAGGTGGGGGATGCCGGTTATCAGGTATCGTACCGGCGACAAGG TTAAGGTTAACCGCAGCCGTTGTGACTGCGGGCGCACCTTTATAAGAATGGAGGGCGGCA TCCTGGGCCGGGTGGATGACATGCTCATCGTCAGGGGAGTCAACGTTTTCCCCAGCGCCA TTGAAAACATCATCCGGGCTTACGACC >NODE_206_length_267_cov_0.788660 TATTCGACGTCGTCGATATGGCCTTCGCCCCACACCACCCGCAGCAAATGCGCATGAGTC AGCAGCTTGCCCGCATGGCGTGCCAGTTCGGCGAGCAGCGCGAATTCCTTGCGGGTGAGC TTCACCGATACGCCATCGCGCCAGACCTGATGCGCGGCGAGATCGATTTCGACCGGCCCC ACCTTCAGCCGGTCCTGCCCAGCCGCTGCCGCATTGTGCCGCCGCAGCGCGACCCGGATG CGCGCCAGCAATTCCTCGGTGTCGAAC >NODE_207_length_267_cov_0.737113 ACCCGGCCGTGCTCCAACAAATCTGGATGCAAATGCCCCCGGCACCGCCGCCGACCATCG GCAACGCGCGCCCGCCACGGACGCCGGACGACAGCGACTGCATTACTAAGGATGCAGGCT ACAGCCCGTTTTCAACCAGTTGCGATGAAAACGCGAGCCCCTGCGCCGTTCAATAGCGAC TGCAAAGCCAATCGCCAAGCGGAATATTATGACCGTCGCGTGACCAATTCGGACGAGTGC GTTGCGATCAACGCGCGCGGACGCCCA >NODE_208_length_266_cov_1.943005 GCATATGAAGGATCGTTCGGTGTGGACGACGTGGCTGGTCGCCGACCAGCGCTTCGTCTC CAGCCGTCCCGACGTGCTGAGCTATCAGACCGAACGATCCTTCATATGCACCGGCTGGGT GACGAACGGCACGGGCTTGGCCGGATCGGAGATGTAGCGTTCCTGGCCAGCCGTGGCGGG GGCGGTGAAGCTGAGGCTGTTATCCGCCTGGAGATATAGCGGCGTCGCCTTGCCCGCAGG CCAGTGCGTGAAGGACTGCCATTGGC >NODE_209_length_266_cov_1.145078 GCATCCGGCAATCACGCTGATGCAGCTGTCATCGACGCCGGAAGATGTCCTGATCGAAAC CTCGAAGCAGGAAAAGGTTCACAGCTTTCGGAAGGATGGCACGCCCAACGTAGTTGTCGA GCGGATGAGCTATGCCGAGGCGCGAGCGCTGCGCGTGAGGTGTGCCGAAGCGCTGTTGCC GTACCTCGAAAGCAAAAAAACGGTCGCGGTCGACATGACCTTTTCGGGTGTTGCTGACCT GATCATCCAGGGCGTCACCCATACCG >NODE_210_length_266_cov_1.041451 TTCATGGTTTGTATTCACACTGAAAATCAAAATCAAGGGGACTTTTGCCCTTTTGCTCTA CTGGAGATTTCTGTTCTCCATGAGTCCCCCTTAGGACACCTGCGTTATGGTTTTACAGAT GTGCCGCCCCAGCCAAACTCCCCACCTGACAATGTCATCAACCCGGATCAGCCCGCGAAG GACTTTAATGCAAGAAAATGGTCGATGAAGACCAGTTCCGCTTCATTGATTAAGTAAAAA AACGATAAGGGTAGTGGTATTTCACC >NODE_211_length_266_cov_0.797927 CCGTCCACCCCGTTATATTCGGTCCCCAGACATAGGAAGCACCGACGCCGATCCACTGGA CCTTCCACAACTGGTTGAGAAAATCCATTACGAGGCGGCCGTGAAGCTCGTTCATGTGTT GGACGTCGAGTCCCCGCTCGAGATCACCGAACATCTCGGTGCGGCTCAGGTAGCCGCCCG TTCGCAATTCGTGGCCATGCAGCTCAATTCCAAGCGGGATATCTATGTCGATTTTGTTGC CCAGAGAACCCGAGTCGCCGCTGATG >NODE_212_length_266_cov_0.797927 TCTTTAGACATAGGCTTTAATGCATAGTTCATCTTCTTTTCTTGACCAATAGTCGATGAT TTTTCATCCGAGAGATGTTTTCCGCAAAGCGATCCTGCTCCGTGTGCTGGATAAACCTCC ACTGCATCATTGAGCTGGCTCAGCTTGTGGAGACTCTCGTACATAAATCCTGCCAGGTCC TTTGCCGAGTATACTTTTTCTGACACGAGATCAGGTCGCCCTACGTCTCCAATGAAAAGT GTATCGCCGGTAAAGAGTCTTTCAGG >NODE_213_length_266_cov_0.797927 GTGCTGCGACACGAGCGCGGGGCAAATCCAGCGATCGGCATCATCTTTTCCGGAGTCCGG GTTGATCCGTGTGCAGCCGTCCACCTTACCATCGACGCTAATCGACAAATAATACTTGGC GTGCATCGCGCTACGATCGTGTTTTATTTCCATCTTGGCGAGTTGCTCGGCCGAAAGCCA ATCGTCCCTCCTTCGAAGTGGGGCTGGCGGCATACCATTTGGCGCAAATTGCGCAGGGTC GGCACCCCACTGAACAAGTTGCTCGG >NODE_214_length_266_cov_0.792746 GGAAAATGAAATGCAACCGGCTCAGCCACTATCCGGAAACCGCCCGAAGTCCCCAGTTCC CGCAAATCGCAGAAAACTGTTGCCGAGACGACACGGATGATCAGCCCCATCCCACCGCTC CCCGACAATGACGACGTGATGCCCGACGTGACGCGCGCGGCGCAGTTCATCGGCGCGCAT CTCGACGATGCGATGACGATCGGCGACGTTGCCGCCGCCGCAGGTGTCGCCCATCGCACG CTGTACCGGCATTTCCACGACGTGCG >NODE_215_length_265_cov_0.802083 GTATAGAGATACGCCTCCGGGTTCTGAATCGCCGCGATGTCGGCAACACGCATCATGCGT GCGTAGACCTCCTGCGCGAGCTCCGCAGCGTCAGGATGCTTGCGCACGCGCCGATAAAAG AAGGCTTCGAGGGCACCTGCGTGTTCGGCGAACAGCCTTTCCAAGAGCGACTTTTTGTTC TCGGCCATGGCAGCCTGGGCGCTCGAACCCGCGATTTGCGTACCCTAGCTAGTTACGAGT CACTTCGCGCGCATTCGGGTACCCC >NODE_216_length_265_cov_0.802083 TCGTCCTTGAGGTGTCCAAAAACAGTTCCCATCTGTTTTCAGACGACAGTAGATCCAATT GTGATCGATTAGCTGCCTGGCATCCGTATTTCTTGAATGCCGGCCCTTTCGTCGCCGGTC ACGACGGATGATCGTGCGATGCGTCCATAGCGTTCCTCCTAGCTAGGGGCGGAGCCGCCC GGAACTTCCAGTTGCCGGCGGTCCTGTTCAAATGCCTATATGCTGCTTCCCCCGATATTG GCATGATTCGCGCTCAGGGTCCGGG >NODE_217_length_265_cov_0.802083 TGGAAATTCTGCAGCTGCTTGCTGTTGTAAGTGGAATTGAGCTGATCGAAGCCCGGATAG GTGGAAACCGAGTTGCCACTGACCGAGTAGAGCAGGTCGGCCAGCCACTGGTTGCGGTCG TTGAGGAGCCGGTACCAGAACATGATCGACCCGTTGTCCATGGTGTGTTTCAACGTGGCG GTGAACTGACCGCCGAGGTCGGAAGTGTATTGCGGGTCACGGACGCCATCCGATGAGCGG TAGAAGCCGCCGACGCTGCCATACC >NODE_218_length_265_cov_0.796875 TCATAGGCCGGGATGGACGCGGTGCTGAGCGCTTTCGGCCTCGGGATGTTGCCCCAGCAG AGGCGCCCGTTGACGAAAACATTGAGGACCGGGGAGTGCAGCACCGGCGTCGCGGCGTTC GGACGCTCGCTTGCCGCCAGGGCGTAGACGCCGAGGCCCGAGCGCGTGGCGATGAACAGG TGCGCCGGATACGGAACCGGCAGGGTCGTTCGACCGGAGAGCGCCCTGAGGCCGGCGGGA GGAGCCGACAGGGCGAAATAAGCGT >NODE_219_length_264_cov_1.596859 GTAGAGCGGAATGCCGTCGAAGGTCAGCGACACGCGCGCGCCGTCGAAGCCGCGAATGCG GAGCTGCCCGCCCGACGCACCATAGGGATCGCTATTGGTGAAATTGACGCCGGGGATCTG GTTGATCGTGTCGAGGATCGACTGGCCCGGAACGCGGTGGGCGATGAAGTCCTGCGTCAG CACCGCCTTTGCCTTGGGCGTGTCGGGAATTTCGATGCCGTTAATGCCCGTCGCGCGTTT GCCACTGACGACGATGTCGGTTTC >NODE_220_length_264_cov_0.806283 CAGCGGCAGCGAAGAGCGCGAGTGACTTCTACGACACCAATACCAAGAGGAAGTAGGCAC AGCCGACTGCCTCCTGACGCTTTCTAAGGTCTAGCAAAGATGCCCGCCGCCCCAGTCAAC ATCATGACGCTGTTCACGACGATGTACTCGTATGTTGAAACGGCTATCGCGACGTCTGTT GCATCGTTCGGGTCCGGACTGGTCGCCTTCGTTGCGGCACCTCTTGCGCTTGCAGCGACG ATCTACTTCCTGTTGCTGGGCTTT >NODE_221_length_264_cov_0.806283 GGCATATTGAACATAGGGTCCGGTCTCTCCTTCAAATTGAACCACTTCTTCCAAGTTGAA GGAGAGACCGGACCCTATGTTCAATATGCCCATGCACGGGCCCATTCGATCATCCGCAAG TATCCGGCTGAATTGGACCTCAGCCAACCACTCGTCATTGAAGATGATTATGGTTGGGAG ATTATCAAGAAATTAGCAGACTTCTCCCGGATCATCCATCTTGCGGCAGACCGTTATGAA CCTTCTGTGATTGCTAAGTATGCG >NODE_222_length_264_cov_0.806283 TAGAAAGACTAAGCGTCGATTGCGGGCCTATTCAACGAGATTGGCAAGATTCTTCAATGA CGAATCCATGCCGGCGCGATGGTCAGCTTCGCTGATCCCCGTGGGGACGTTCTCGGCGGT GAACGTCACTTTCGTGCCGTTTGCGACGGCCGTGAATATCGTGGTCATCGTCATGGTGCC GGCAAAGGCCGGATCGGCGGACTCGAACTCGACAGCCTCGACAATTTTTTCATTCGGTAT CAGTTCGATGAAGCGTGCCTCGAC >NODE_223_length_264_cov_0.806283 GCTCTAAGCCGGCCTTCGGAGAGTCGATTGCGAATGCCGAGAACGCTTAGAAAGGAATCG TCTAGCGTCCCTCGAGCTTGTTTGGGCGCTTGGTGACGTTCATTAACATAAGTGCTACTG CACATGACGCAGCGACAAATGCCGCGGTCCACCTGACCGTGGATACGGCAAAAGCCGCGT CAAGCCGCCAGCCATGGGGCGCCGGCTCGGTCGTGGCAAGCGGCACCACGTCCGGGAAGT ACCAGTTGCAGAACAAAGCGAGTG >NODE_224_length_264_cov_0.806283 GTACAGCGTCGGATTCGATTGCGTGAAATTGCGCTCGATGCGGCAGGATGCCGAGGTCGC GGGCCAAGCGGTGTGGGCCGAGAAAGACGATCCAAGAATCACCCGCATTGGGCGCATCAT CCGCAAGCTGCGCATCGATGAGCTTCCGCAGACCTGGTCGGTGCTCAAGGGCGAGATGAG TTTCGTCGGGCCACGCCCTGAACGGCCACAATTCGTCGAGGATCTCGAACAGCAAATTCC CTATTATGCCGAGCGCCATATGGT >NODE_225_length_264_cov_0.806283 GGCGCGGACCGCAGCCAGTCCATGGCACTGGACCTGGATGCCTTGATCAGCGAGTCCCTC ATCGGTAGCCACGAGGAAGTGGCGTCCCACTACAAGGCCATCGGCACGCGCTACGGGGCC ACGGGCATTGCCATCGTGCCGACTAGCGCCCAATTCGACACCCACAAGCACATCCTCGCC TACTTCGTCGACGAGATCCGCCCCATGCTTGACGGGGACTGAACAAGCCGGCGCGCCGGC ATGGGTTCAGCGGTAACCCTCTTC >NODE_226_length_264_cov_0.806283 GTGATCATCCGCGCCGGATATTCGCGCGCGAGCGTGTTGGGGTTGAACAACCATGCCTGT GCACGGTCGTTGAAATCCGACATCGATCCGAGCACGCGCTCGGCGCTCAGGCCGTCGACC ACGTCGCAGCCGCTCAGCATCGCAAGCGTGCCAAGCCCCAGCGCGTTGCGCAGGAACAGC CGCCGCGTCGGCACGTCGAGGCCGCGCGCGGCGTCGCTCAGGATATAGCGGGTTTCGTCG TTCATGGCTCACGCTCCCCGGATC >NODE_227_length_264_cov_0.806283 GTGAAGGACATGCTCGATGTCGCTGGTGCGACGATGACCGGTGCGGAGAGCGGAGAAATT GGACTGGCGCTGATCGAGGCGCAGGATTTCGAGATCGTCCTGCTCGATTTACGGATGCCC GGTATGGACGGGTTTGAAACGCTGCGGCGCATCCGTGCGCGCGGCGATGCCAAGGCGCAT CTCCCGATCATCGTGGTGACTGCGGACACAGCGGTGGATTTGCGCGAGCGTTGCCTTGCA CAAGGGGCAGACGAAGTGTTGTTC >NODE_228_length_264_cov_0.727749 TATTCGGTGTTTGGTTAGAGTTGGTAGGTCTCGCGTCCCCCGCATCCATCCTGTGCTCTT CCCCCTACGGTTTTCGCTCGAGTCACTACCTCTATAGTTTTCGCGGAGAACCTGCTTTTT CCCGTCTTGATTGGCCTTTCACCCCTCAACCCACCACATCCGGGAACTTTTCAACGTTAA TCGGTTCGGACCCCCACTGCGTGTTACCGCACCTTCCTCCTGGACATGCCGAGCTCGCCG GGTCTCGGGTCTAAACCATCAAAC >NODE_229_length_263_cov_1.215789 CTGGGAGGCCGGTGCCAATTACAGCCGCCGCGAGAAAACCAGCGCCTACCAGTCCTACTT CCTCTGCCCCAAGGGCGCGGGCACGAATTGCACCGTCGCAAGCGGCACGCCCACTTCGGC ACCGATCCCGAGCCAGGCGATCCTCGGCAAGATCCCGCTCGACTATCTCGGTGTGCCGGC GGTGCTCGCGCTCAATCCGCTGTATCTCTACAATAACAGCTTCAACACCTTCTACGACAA CCGTCCGTCGTCGTTGGTGCGCG >NODE_230_length_263_cov_1.189474 GGGCAGCGTAAGCCGCTGGCGCGAGAGTGATAATCCCTAAGGAGTAGCCAGAATGCCCCC CTTTCGGGAGGGGCCGGGTTACGCTAGCGCTACAGGTCGATCAGGCCACGTTTGGCGGCG ATCGTTACGGCGTGGGTGCGATCAGATGCGCCCAGTTTCGCGAAGATCGCCTTCATATGC GCTTTGATGGTGTCTTCGGATACGCCGAGTTTGGCCGCGATCTGCTTGTTGGAATTGCCC TGGGCGGCAAGCGAAAGAACGCC >NODE_231_length_263_cov_0.810526 GTCGGATGCCTTCTGGATGCGCTCGCGCATCTGCTCGAACGTGGTCTCCGTGTATTCCTT CTTGTTGATGTTGAGATGGTAGAGCTTGTCCTGATCCAGGAGCACGATCTCGGCGGAAGG ACCCACCGCATTGCGGGCGAGGAAACCCACGAGCTTGGATTTCATTTTGATGTCGCTGTC CGTGCGCGAGCGGTCGCCGGAAATGGTCGTCTTGCTCGTGCCGGACATATTGCCGAAGGC CATGGCTCCCACACCTTCCACGG >NODE_232_length_263_cov_0.810526 TTCCATGGTGTATATGTGCCACATTTTCTTAATCCAGTCTATCATTGTTGGACATTTGGG TTGGTTCCAAGTCTTTGCTATTGTGAATAATGCCACAATAAACATACGTGTGCATGTGTC TTTATAGCAGCATGATTTATAGTCCTTTGGGTATATACCCAGTAATGGGATGGCTGGGTC AAATGGTATTTCTAGTTCTAGATCCCTGAGGAATCGCCACACTGACTTCCACAATGGTTG AACTAGTTTACAGTCCCACCAAC >NODE_233_length_263_cov_0.810526 GGGCCACAACCGACCGCGCAAGCCGCGGGGTCACCCCAGGCGGATTCTGCCAACAGCGAC GTCAGCGAATCATCGACGTGGGATTCACCGGCGACCAATGGCCAGGCAAGCGCGCCGGGA GGGTCGCAGGGCGGCAGCACTGCAAGAGCGAACCCGCAGGCCAGCAGCGGAGCGCAGGCG CCAATATCGGGCGTGGCGCAGCCATTGGGCACGGCGCAGACATCGGCGGCAGCGCAGAGA TCGGCTGCGGGCCCGTCTTCAGG >NODE_234_length_263_cov_0.810526 GCCCGCAAGCGCGCGTAGCAAGCTGGTCTTGCCCGATCCGTTGGCACCGATGAGGCCGAA CCACGATCCGCGCGCGACCCTCAGATCGACGTCCTGCACGACACGCTGTCCGCTCCGTTC AACCGCCGCCCCGGCAAGGTGGATCGCGGGGCTCATGCCAGCAGCCACGTCTTCGTGCGG GCCCGGTGTTGCAACTGCCACAGGATCGCGACGGCGAGAAACGGCAAAGCGATCGGCAGG AAATAGGCTAGAAACAGGAGCAG >NODE_235_length_263_cov_0.794737 GGGTGGCGCGACGCGCCGCCTGTCGGTGCTGGCAGGGCTGGAAGCGCTGGCGAACGAGCC CCCTGCCCATGTGCTCATTCATGACGCCGCCCGCCCTTTCCTGAGCGCGGCGGTGATCGG TCGGTTCGTCGCCGGTCCAGCCGCGATGCGCGGCGAGGGCTGTGGCAAAGTGAAAGGCTT GCGGGGTCTGGATGCGGTGCAAGGCATCGCGGGCAACGGTTTCGCCCAGCTCGCTCTCGC CGCGCGCAAGCGTGTCTGGCACC >NODE_236_length_263_cov_0.757895 GAATAATCGCGGGGCGTTCCTGATTCAGCAGCATTATTGCGACGCCAATGCCGCGCCGAT TTATGGCCGGATGTGCGCGGCGGTGGCGGCGGGGCTGACGCGCGACACCGCGATGGGCGC GCGCATCCTCGATTGGCCGGGCGAGCCGACGCGCGATGCGTTGCCGCTGCGCTTTTTTGG CGGGCTGCATGCGCTGGTGCAGGCGGGCAGGGATGACGGGCTGGCGGCGGTCTTTGCGGG ACGCGTGACCGAACAGGCCGAGA >NODE_237_length_262_cov_1.222222 GCATCAATGGCCCGAGCAAGGTGTTGTCGACCACCACCAACGGGCGCAGCCCGGTGCGCG CGCCAACGGCGTCGGCAATGTCGACGACCAAGGCGATGTCGACGATCGCGGCGGTCGGGT TGGCCGGGGTTTCGATCACGATCAGCTTGAGCGGCCCGTGGCTGAGTGCTTCCTCGACCG CAGCCGCGATGCTGGCGCGGTCGCACCCGTCGGTAAATTCGGCATGGCTGACGCCGAAGG CGGGCATCAGCCCGGTATAGAG >NODE_238_length_262_cov_0.851852 ATGCTCTTGCGGTGCAACGCGCGCTCGTTCGCCACGCCGCAGGTCAGGTCGCCGTGCGGC CAGCGGTGCCGGCCATAAGGTCGCCGCGAGCCACCCGTCCCGGAGGCTTGTGTTGCAGTC TGCCGCAAGGCGCCTTGCGCCCGGCCTATACTCGCTACCTCCAGGGGCTACGTCCGACGC AGTTTGGGAGACGGATTCGGTGCGGTTCCGTCTAACCAACAGCGGAGGACGGAGCCCCGG GCGGTAGCGAGTATAGGGCGGG >NODE_239_length_262_cov_0.814815 GGCCGCAGCCATCAATTGACCCCATTGGTCCGCGGTCTCGCTCATCGACGAGCTCCCCGG CACCAGGACCGCAGCGCTGGCCGATCGTTGAACCGCAAGACGAAGGTGGGGTTGCACGTC CCGTCATTCGGCGGAACCGGCTGGACGGTTACAGCCTCGCCCAAAATAAAAACGCGTGGG GTCTTTTTGCCCGCCACCGATATGCGTCGTGCTCTCACTGCCGAAAACTTTCGCTCATTG CGCATCCTGGGCATCCCCGTTC >NODE_240_length_262_cov_0.814815 GTTCACATTGTGCTGAGCCTTGTCTTCACCCAGGTAGCGCTTCAACAGCTGCTCGGCTTC CACCAGCTTGGGAGCCAATTCAATATAAGCATTGAGGCCGGTGGGGCGGGCCTTTTCCTG AGTGCGCAGGGCGCGTGTGGTGTACAGGAATTCCGTGGTGAGAGTCCGTTCGTGTTTCTG CGGCTTGTAGAACCAGGAACCCACCAGGTAGAACAATGTGTTAAGGCTTAGCGACCAGAG CGTGGCATGGGGAATGCTGGGC >NODE_241_length_262_cov_0.814815 GGGTGCCGGAGCTGCTACAATTGCTTTAGCGGGAGCTGCTGTCGGTATTGGAAACGTGTT CAGTTCTTTGATCCATTCCGTGGCGCGAAATCCATCATTGGCTAAACAATTATTTGGTTA TGCCATTTTGGGCTTTGCTCTAACCGAAGCTATTGCATTGTTTGCCTTAATGATGGCCTT TTTGATTTTATTCGTATTCTGATCGAAGAAAGAAGGTTGAACTTTCATAAAGCAAGCACC TCTTTCACATAAGAAAATGGAG >NODE_242_length_262_cov_0.814815 GTGCACTATGGTCATATTCATGTCCGTCGTGGTGATACGTGCCGTCCGTGGAGCATCCGC AACATCGATACGATCGCACGCGAATGCGTCGACGTTGGCGACGCGCATCGGCATTGTCAA CGGCGTCTCCTCTCTCGTCGTGGCGTATCTCCGCGTGCCGACCGTGCGAGGAATGACAGC ATGAGCACATGCATCTTTTCGACACGTCATGGAAGTTAGAAGAAACATGTCGAGCATCCA GCGCATTGGAAAGACTTTTCGC >NODE_243_length_262_cov_0.814815 GGCAATGGCAACGCGTCATGCCAGAGAGTGAGGGCGCTCCAGGCACCATAGATCGTCCCC GCCACCAACGCGGTAGGCCAGTCGAAGCCGTGGCGCGCCTCCACGGTTCCGGGGGTAAGG GGCATTGGCATGGAGATGTAAAATCCCGCTCCAGAACGTATATCCTAAAACTCTATCAAA GTAGTAGGATATACAACGCTGCCGATCTTGGCCTTTGCCAAGTTTTGCTTTTGTCATCTG CCCCTCCGGTGTCGGGCCGGGG >NODE_244_length_261_cov_0.920213 CTTTATGACGGCACACGCCGACTACTTCGAAGCGCATTACCATGGCTTCGTCACGATGTT GGTGGGCTACGGCGGCATGGAGAATGGTGGGCTGCTCGAAGAAGCGCAGGAACTGCGCGA CGCCTACGAAGAGCTTCTTCGACGGATCGTGCTCGCAGGCATCGAATCCGGCCGCTATCG AAATACGGATTCCCGGTCGATAAGCCGCGCGATCCTCTCGATGCTGAACTGGATGGTTCG CTGGTTCAAGCCAGGGCATGG >NODE_245_length_261_cov_0.845745 CTGCCATGGCCGCCCTTGGCCGGATCGGGCGAATGCATCAGCACGACCGGGCCTCCGGCC AAGGGCGGCCATGGCAGTGTCGGCTATCGGGACGTGCTGCTCGAGGTTGTTCGACTGGCT CGAGGCGCGGATTGCGGCGGTGGTCGCGGGTGGGGTGGACCGCTCCCGGATCCTCGTTGA CCCCGGCATTGGCTTTGGCAAATCGCTGTCGGACAATCTCGCGCTGATCAATGGCCTTGC GCTGTTGCACGGCCATTGATC >NODE_246_length_261_cov_0.819149 GTGCTGGACTGGTTCCGCAGGAAGAGGTGTTCGTCGCGCTTCGCGCGCTTGGGCTTGATG ATCTGGCAACCATCGGTGTGATGGCGCGCGAGCGCATTTTCCTGGATCTTGATGGCACCA TCACCGGGCGCGTTGCCGCGCCCCAGATGCAAATCTCCTGGGACCATCTTTATACCGGAT TGCGCGACGTGCTTTCGACATCGGACTATCATGTCGGTCGCGATGCGGTGCAGGCAGGAA CCGACGACAGCACGGCATGGG >NODE_247_length_261_cov_0.819149 GTAAAGATCCTCTTTAAGATGACTTTCGACCACGATCAACGGTCAAAATCGTATTTTGGG TAACTTTTGACCAAGATCAACGGTCAAAATCATCTTTTGGATGGCTTCGAACCACGATCA ACAGTCAAGATCCACTTTTTGATGACTTTTTATCAAGATCAATGGTCAAGATCGACTTTA CGGTAACTTTCTACCAAGATCAATGCTCAAGATCCACTTTTGGATGACTTTTGACCACGA TCAATGGTCACAATCGACTTT >NODE_248_length_261_cov_0.819149 GCCTTCCGGCAACATCGAAATGACGCCGGCATTGCCGAACAGGCGATTGTCGCTGTCGAG CCACACGGGGGAGGGCGCGAAGCCATATCCCGTTAGAAAGGCGAGCTTGATCGTCCGTGG CCCTTGCGGCCCCTCGACCTGCGCCGTCTGCCCGATCGCGATGCTGGCATGGCCCGTCGG GAGCAAGTCGATGCCCTTGGCACCCGCCGCGACAAGCGCATCGATATCGAACTCCCCGGC GAGCGGCGGGCCGCCATAAGT >NODE_249_length_261_cov_0.819149 GGGTGACCGATATCAAGACCTCGTCGCAGGCCGCCGAAGCGCTGCGCCCGATCGCCGGGG TGTTTACCTTCGCGCTGTTCGCCGTTGGGATCATCGCGACGGGGATGCTGGCCGTGCCGG TGCTGGCTGGGTCGGCTGCGTACGGCGTGTCCGAGATGCTGGGCTGGACCTCGGGCCTGC GCCGCAAACCGCGCGAGGCGCGTGCCTTTTACGCGACCATCGCCGCTGCCACGTTGGGCG GGGTCGCGCTCAACTTCACCG >NODE_250_length_261_cov_0.819149 GTTTACCATGATCCGGATGTGTGCTATGTGGTCTTCGTGACCGAACCAAGAGACCGGCAG AGTGTGCATCGCCGTTCCATGGAGGTGAATGCCGTGATACCGGCAGTACCAAAATACATG TTGTGGTCGGAACAAGAGATCACTTGGTCCTTCAAAGATCACCCAAAGGTGATGCCTAAT CCGGGCGGATATGCTCTGGTGGTGGATCCGATCATGCACGGAACATCGTCGCGAGTCCGG TTCAGCAAAGTGCTGGTGGAT >NODE_251_length_261_cov_0.819149 GACGCGGACGCAAGGCGTGGAGCTGGAAGCTTCGGCGACGCCGTTGAAGGCGCTTAATGT CACCGCCAACTACACCTACCTCGACGCGCAGAACCGCTCGCCGGGCTATGTGGGGCTGCA GCTGAACCGCCGGCCACGCAACGCCGCCAATATCAGCACGGACTACAAAGGCTTCGACAA GTTCGACCTGTCGGCGTCGCTGCGTTATGCGGGCGAGAGCTTCGACAACGTAGCCAACAC CATCCGTCTCAAGTCCTATGT >NODE_252_length_261_cov_0.819149 GATCAAGGCGGGGTTCTAACGCGCGTTCTCCCGCGCAAGCGGGAGCCCAGGGTTGCAGGC GCTTCGCTTGTAACCCTGGATCCGCGCTTTTGCGGGAAAACGGCACGAGCCTCGCGAAAC AATCCCCTCGTCTCGGCCGGATCGCCCAGCTACATCTTGCCGCAAACGATAAGAGGGCAG GGTGGATGCGGGGATTGCGGCGGGAGCTGGCCGGGTTGGGCGTGCTGGTGTTGGTGGTGG GTGTCGGGCTCGCCGTGTGGG >NODE_253_length_261_cov_0.813830 GATCGTCTCGGGTCTGGGTGCGACACCGATCGAGATCGGCGTGTTGAGCGCGATCGGTGT CGCCCCTCACCCGCGAGCCCTGCGGGTGACTGCTCTTGGCGGGAGAAACGGGTTCGTGGC GGGAGTCGTTGCCCCCGCCACGAGCGAGTTTCTCCCGCCATCCGTTCCAGGCGTCACCCC GAATGCAGGAGAACCTCGCCCCAGGGACGTCCTTCACGCGAAATCCGCCCTGCAGGCGCC GTTTCTCCTGCATTCGAAGTG >NODE_254_length_260_cov_1.582888 ATCAGCTTCCTTGCGCCTTACGGGTTTACTGGCCCCTTGACATGTGTGCGAGTCAACGGG CCAGTAAACCCGTAAGGCGCAAGGAAGCTGATTGGCGGGATCCCCTTGAGGGTTGCACCG CCGACCGACCTTGATCTTCTGAGAAGGGTTCGAGTGAGAGCATACCTGTCGGGACCCGAA AGATGGTGAACTATGCCTGAATAGGGTGAAGCCAGAGGAAACTCTGGTGGAGGCTCGCAG CGGTTCTGACGTGCAAATCG >NODE_255_length_260_cov_1.235294 GCCGTAAAGCGGGTACCGGCGGTGAGCGTCAGCCGCGAGGACACCGGCCAACTCGCCTCG CCAAAAGCCGAGAGGCTGTCGGTCATGTTGGTCACGCCGATGATATCGAGCGGCTGATCA GGCGGCCCGAGCGCCCGCGCCTGGATATCGCGATCATGCAGGAACGCGACGCCGACCAAC CAGCCGATATGATCCGGCACCGCGCGCGACAGTCGCGCCTCCTGCACGAACAAGACATTC GACTGTTCGTTGGTGTAGAT >NODE_256_length_260_cov_0.823529 TGCCGAGGCGGCGCGATCTGCGCTTCGTTCCACAACCGCCGCAGGCGAGCTTTGGCGGAC CAGATCATTTCCTCAATATTCCGGAACTCGCGGTGGTGCTGGGCGAGGAAACCGAAATCA CCCTGCCCGAGGGCGATGTCGTCGGTTACATCCAGATCGCCGCGAGTGGTGACCCCAAAA TCAGTTTCTGGTGGGAAAGCACGAAGGCGAAGTACAGCACGCGCAAACCCGTCGACACCG CCGCGCCAGCCGCCAAGCCG >NODE_257_length_260_cov_0.823529 GAATGGGGTCGATATATCGACCTCGAATTCTTTCGACCCCACCTAAAGGGGTATCGGCGC CGTGGGACATCGCATCGACTACGTGACGGCGCACGATGTCTGCTTGAGCCGAAACAGTCA TCGGCCCGTACGCGCTACCCGGGTCCGATCCGGATCGCACGGTCTGCAATCGTCGGGTCA GTGCCTGGACAAAGTCCGCCGAGACTGCGCGGTCGACGTAGATCCGCTCGACGCCGACGC AGGTCTGCCCCCCATTGGAG >NODE_258_length_260_cov_0.823529 GGCGTGGATATGAAGTTAGGAATCGACATTGCGTCGATTGCCTACAAGAAGCTGGCGGAT CGCGTAGTCCTCATCACTGGTGACTGCGATTTTGTTCCGGCCGCAAAGCTAGCTCGCCGC GAAGGCTTGGATGTTGTGCTCGACCCGCTCTGGAACCGCGTGGCGCCAAGTCTCCATGAG CACATCGATGGCTTGAAGTCAGTCTGGCCGAATCCAGCCACGTCACGGAAAAGCTCCGAG GTCCCGACAGTCAGCAGTCC >NODE_259_length_260_cov_0.737968 GGGCGGGAGCGAACGCGTCGTCGGCCGCCAGCGCCTCGTCGTACGCCGTCATCGCGGTCT CGTCGTCGCCCGCCTGCTGGGCGATCACGCCCAGGTTGAAGTGGGCGTACTTGTTGTCGG GGTCGAGGTCGAGGACCTCGTCGAAGGTCGCCTGCGCCCCGGTCGCGTCACCGCTCGCGA GCTGGTCGAGGCCCTTCTGCACGAGAGCGTCGGCGGCCGCCGACTCGGACGAGGCCGCGG CCTCGGCGTCGTCCTTCGCG >NODE_260_length_260_cov_0.727273 CCGGATTGATGTCGAACGCCAGCAGACGCGTGCCGCTCAAGCGGAACGACAGGCTGCTAT TCACCGCGCCGATCTTGAGCGGCACCGAATAGCGCGCCTCAAAATCGATCCCGCGCGTCT TCGCCCCGCCGGTATTGGCCAGCAGGTTGACCGCGCCCGTGATCGCATAGCTGTTGGCAT CACGCGGCAGCAGCGAACAATAGGAACTGTTATACGCGACATAGCCGTTCCCGGCATTGC CGTAGCAAGCCGTGATGATG >NODE_261_length_260_cov_0.721925 GAGTCGGTCGGTGCGTCGATGCAGTCATGACTTACCGTCCTGCCGCGACGCGGTCGCTTC AGTCAGGAACTCGCGCATGAATGCTTCGAAGGCGAAGGCATGATCGAGGCCGCGATTTTC TTCGAAGATATCGTTGACCGCCTTGACCACGTCCGACGTCGTGACGCCGCGCGCGACCCC ATCCGCTTTATCGCGGGTGAAGGCTGCGCGCTTCGCCCGGCCGGGGATCGACGCGGCCAT CGCACCTGAAACGATATGCT >NODE_262_length_259_cov_1.236559 GCTCGAAAACCGCTTTGGCGTCGCGGTTAAAAACTTTGCCGCGTCCCTGTTCCTGATAAT GCGTGCGTTAGCCGAGGGCGTTCGTATTTTTGCAGCCTCGATCGTCCTCACGGCTGTTTT GTCGTCTTCACTGCCAAATTTCCCCAATCTGACGATCTGGTCGATCGTTATCGTCGGCGT CTTGACGCTGATCTACACGTTTGAGGGCGGCATCGCGGCCGTCATCTGGACCGACCTGAT CCAACTGGTGATCTACATC >NODE_263_length_259_cov_0.827957 GGCATAGATTGGGCCTCTACTGGTATCCCCAGAGAGGCGTTTGTCCTCTCTGCCAAGGAC CTAGATGGCATCAGCTTCTGTGACTATCAGCATCGTAGTATTTAGGGTAGTAGGGTATAG GATATATCAAGCAAAGTAGTCCTGTAATTAAAGTGCAGAATTGCTTTGCTTGTGTAGTTT TATTTAATACCTTTGTTGTGCACCGGGGTTTTTATCAATCTTTGATGCTTTTGTAAGTAG ATAATTAAACTGTATAAGT >NODE_264_length_259_cov_0.827957 TTCGTGAACAGCGCCTTGTTGTAGTACATCATCGTCGTGGCGATGTCGACGGGGACGCCG TAGTTCTTGCCGTCGTACTTCGACGCGTCGATCGCGGTCTTCGGCAGCTTCGCGGTGTCG TGCGCGCCTCCCGCGTAGTAGTCGTCGATCGGCTGGAAGAGGCCCTGCGACGCGTAGGCG GGGACGCGCGAGAAGTCGAGGGCGACGATGTCGGGGCCGCCCTTAGAGGTCGCTCCGGTC AGGAGCTTCTGGTACAGGG >NODE_265_length_259_cov_0.822581 GGCTTACGCTGGCTTTGGCCGCGAGCATGACGTTTGCGGCGGCAGCACAGGCAAACTGCT CCGCGACCAAGATCGCGATCGGCCACCAGCGCCTTTTCGTCGATCTCGGCGGCAACGGGC CGGTGACGCTGGTGTTCGAAGCGGGCAATGGCGACGATTCGCGGGTCTGGGCCAATTTGG TGCCGAAAGCGCAGGCGCTTGGGGTACGGACCTTCGTGTATGATCGCGCCGGGCTGGGCC AGAGCGACCGGCGACAAGG >NODE_266_length_258_cov_1.470270 GCCTAAGAGATGAAGACGGTGTTGAGGACGACATCAACGCCCGTATCGCCGCCGCGATTG AAAGCGGCCACAATTGCCTGGTCGTCGTCACGGATGTGTCCAAGACCGGTTTGATCGCCC CCCGTCTCGATACGGTGTTTCGCCTGAGGGCACGTTATGGCGACCGCATCGATTTCCTGA TCGATGGCTGCCAGCTGCGCCTCACACCGGAAACCATTCGGGCCTATCTCGCGCAGGGGT TCGCCCTTGCGATAACGG >NODE_267_length_258_cov_1.248649 GTGCGTGATCAGCCCCTGCGTGAACGACGGCGCCGCATAGTCGACGACGAAGCCTTCGAG CACCACATCGGTAGACCGCCGGATGGTCAAGGCTTCGCGATGCGGGTCGGTGAACAGCAG CTCCGCCTTCAGGCCGGTGAGCGTCACACGGGCGGCGTCGCTGATCATGATCGCCGCACC GGCTTCGTCGTCATCGGCGGGGGGATCGATTCGATGCACGCCGTCCGCGAGCTCGATCAC CGCGGTGCGCGCGTCATC >NODE_268_length_258_cov_1.248649 GTTGTATATGATCATCCCGAGTTCGGGCCGCCCTTCGACCGCGAAGGACGAGAATTCCAT GGCAAGCAGCCCCGCCTCTGGGTGATGGATGCGCTTTACCCCCTCGCCGTGCGCCACCAC ATCATTGTCTTGCCACAGGGCCTCGAACTGCGGGCTCACGCGACACAATTCACTGACCAG CCTGGTTACTGCCGCGCTGTTATTGGCACCGGCACGCGCTACGTCCGCGCGAAAGGCACC GACAACGAAGCGGGCGAC >NODE_269_length_258_cov_0.832432 CCTATCATTGGGCCGAAGCGCATTTCGGCGCGTCTGCTGTGGTCAGGGAATCGAGTAAGC TCGAAACAGCGTGGCACCATAGACCGCTTCACTGGCTGATGGCCGGCGCGGCCGCGGCCG CCGTGCTGGTGCTCGCGTTCGGGATGCAGGTCAGCCGCACCGTCTCGATCGACAATACGA GCATTGCGTCCGATGACATGGCCAAGCCGTTGGTGACGGCTGCGCGAGAAATCCGCACTT GGCAGCTCCCCGATGGAT >NODE_270_length_258_cov_0.832432 GCTGCAATCGGTGCCGGTGCGACCTCGTCGACGGCAGGGGCCACGACGACCGGTTCGGGC ACTTCCGGGACCGGGGCCGGAAGCACTGCAGGAACCGGTGGGGTTTTCACCGCAGCGGCG GCGGTCCGTGTCTTGGGAGCAGCGGGTTTTGCGGGAGCGACGCCAGCCTCGGCCACGGCC GATGGTCCGGCCACCTTCGCGGCCGGTTTTGGGGCTTTCGGTGCCGCGTCTGACTTTGGA CCCTTGCTTGCCATGATC >NODE_271_length_258_cov_0.827027 TCGTTAGCCTGTTCTCGATGGCCATCTTCATCGGTGTGCTGTTCGTCCTGCCCCAGTACC TGCAGAGCCTGCGCGGTCTCACCGCCCAGCAATCGGGGCTGACCACGTTCCCGCAGGCGA TCGGCATCGGCCTGTCCTGGTTCGTGGCCGGGCGGCTGTACAAACGGATCGGTCCGCGAC GGCTGATCGCGACGGGGCTGTTCTTCGCGTCCGTCGTGATCTTCGCGTTCCACTGGGTCA GCCTGGACACCAACCTGT >NODE_272_length_257_cov_1.586957 CCTATTACCTGAAGCTTGAACCCGGTGCCGAGGTGCCACCGCACTCGCACGCCTCCGTAG AGGAGTGCCTGGTCCTGTCCGGCGAAATCGAGGTCGATGGCGACATCGCACGCGAGGGCG ATCTCCATATTGCCTTTACCGGGCATGATCACGGCACGCTAACCAGCCGCGACGGTGCGC TGCTCTATATTCGTGGCCCGCTGGCCCCGCTTGACGAAGACACGCCCGGCGACCCGTTCG ACCTATAATCCCCGGGG >NODE_273_length_257_cov_1.255435 GTTGTCGCTAGTGTCAGCATCGGTGACGCATATCTTGAACATTATGCCACTCCTGATCCG GTGATCTTGAGCCAGATGCCCGATGTTGCACCGGTGTCCTTCTGCTGGAAGCCAAGCGCT CCGCTAACAAAGACAAGGCGAATGCCCGTCGCGCTGGAATCGTCACCAAAGCTCGCATCG CCTTTTAGTTTAAGGCTGAGCCCCGACCCACCATCGACCACGAACGTCGCCGTCTTGTTG GTCGTCATGTTCATGAC >NODE_274_length_257_cov_1.244565 GCGTCAACGGCGCGGAACGCGCAATCGTCAGGCGGTTCGAAGGAGAGGGTATTTCATGCT TCGCACCTTTGCTGTGGGGACGAGCGCGTTCGCGCTGGCCTTGGGGACCCTCGTCGGTCC CGCCTGTGCCGCGCCTACCGTGGGCGGACTGCTGTCCGACCATAGCGTCGTCCAGCGTAA CCAGCCGATCGTGGTGACCGGCGAAGCGATCGCGGGAGAGCCCGTTACCGTCGTGCTGGC CGGACAATCGGCCCAAG >NODE_275_length_257_cov_0.836957 GTTTCTGGCGGAGACGCGCAATCCAACGTAGCTGCCGATCTGGCATATTGGGCCGCAGCA CCGCGGCGGCAGGTCATCCTGACGCTCGATCGGGCACCCCTTCGAGTGGCTCCGCGCGCT CAGACTGCGCATCCGCCGACGGTGATGAAGGCGATGCTGTTTGTTGACGTGCGGGGTTTC GGCAGCTTGCGAGATGATCAGATTCCGGCGTTCTTCGGCGTTGTAATGGCGCAAATCGCG CAGGCGGTGGCGACGCT >NODE_276_length_257_cov_0.836957 GCCATGCGCCTTTCTTCTTCCCGCCTGCTTTGTTTCTGGTGCTGAATCCGGTGACGATCC TGACGTTCGCGGCGTTGACGACCGCAGCGATCGTGCGGCGGCGGCAGACGGAATGGCATC GACGGCTGCATTTTTCCGGAATGGCGTTGCTGCTGGGCCCGGCATACGGGCGATTGCTGC CGATGCCGTTTCTGATCCCTTACGCTTATGAGGTTGATGTTCTGGCAGTCCTGATCCTCC CCATCGTTGGCATGGTG >NODE_277_length_257_cov_0.836957 GTGCGGTTCGCCGTATCAGCTTTGGAGACCGCGAAGTCGCAGCCGACCGCGTGGCGCTTG TCCTGCCCGTAGTGCTCGTCGCGCATCGGCAGGAAATCTTCCTTGCGGAGGTACGCCTCG GAGTTGTCTCGGGGGTCGTTCAGGTACTCTTGCGAGTAGCCAGCCGCGTCACCGTCGGCC ACAAACTCATCCTGGATCTCACGCAGATCCTCTGGCCCGAGCAATTCTCCGAGGCCCGGC TGCGCGAGATCCAGGAT >NODE_278_length_257_cov_0.836957 TACTTGTGTTGAAGTTTGTGATTCCCGTAGCATGCACGTATGGTGAACCGTTATGTGATG AAGTCGGAGCATGATTTATTTATTGATTGTCCTCCTTATGAGTGGCGGTCGGGGACGAGC GATGGTCTTTTCCTACCAATCTATCCCCCTAGGAGCATGCGCGTAATACTTTGCTTTGAT AACTTGTAGATGTTTGCAATAAGTATATGAGTTCTTTATGACTAATGTTGAGTCCATGGA TTATACACACTCTCACC >NODE_279_length_257_cov_0.836957 GTATGAGAGGGAATTGCAAAACTCCATGAGGGAATATTTTCAACGTGGGTTGATTCCAGG ACCCGGTGAGAGTGAAGAGGCGTTCTTAGTGCGCGTCTCTCGGCTCGCCGTGCAGCCCAA TCGAGAAGAGGAAGCTCTAGCGATCACGCGTCGTTTGTTTGGTTTTTCTGTAGATTGGGT TCCCATTTTTTATTCAAATCAAAAACTCCATTTTTGGGAAGGAGCGGCGACATGGGTCGA CGAGGTCCCTTCGATTC >NODE_280_length_257_cov_0.836957 GTAGGGAGAGGAATAGATGGGACAATGCGTAACGTGACTTTAAATCGAGGCCCCAGTAGG ATGAAGAAAGTTTCGAATAACATCTCAAACATTGTTCGTCCTGCGCGTACCGGCATACGA TACCAACGACTGACCAATGCACATGGAAATGGACACGGAAACAGTTCGACGGACGCCTGA GGTTCTGGCTCGTTTTGAACTAGCAACCTTATAAAAGTTAGGCAACGGAATGTAAACTTT TATAAGAAGGGTTATGG >NODE_281_length_257_cov_0.836957 GTGCTCGACGGGATGCTCGCCCGCTACAAGGACTTCCTGTTTGCGGTAGATCCGATCACC CCCGCCGATATCGCCACCCAGCAACGCGTGGCGGATTATCTGTTGGCGGCGAAGGTCATC CCGAGGAAGATCGATGCTGCGGCAGCAACGCCAGATGCGGAATGGTCCGCACCATCTGCA AGGTCGGGTCGAGCAACCGCCGCGCGGTTGGCGACACACCGCACAACAGCCCGAGCAGGA AACTGATCGCGCCGCCC >NODE_282_length_257_cov_0.836957 GGGATTGGCTGCTGAACTGACTTTGCTGACCAAGGTTGGGTCAGCTTGACAGTGAACGAC GGTCACCAGAGCATCGCGAAGCGCATCCTCCACCAAAGAGTTTCCGGTGCGCGCTAAAAT CACGAGCGGCTGTCCTTCGCCGGAAAGTCGATCGAACAGCATCCAAGTGTCAGCGTCGCC ACCAACAGATTGATCGATCGGCGACGTCACTCCAACATCCCCACAAACTTCTCGAACAGA TACAGGCTGTCCTGCGG >NODE_283_length_257_cov_0.733696 GGGTGATGTGGTGCGCGAAATGGCCAAGGCTGCTCCGCAGGCGCCCAAGCTGCCCGAGGT GCCGCCACCTGCTAAGGCCTCGCCGCCCCCGGCGCCGAAGGTTGATCAGTCGTTTTCATT CTCGCCAACCATCAAGCTGGATGTGCAAGGCGATGTGAAGGATCCGGCACAGTTGCTGCG TGAGATGGAGGGCGGTGTGCGCGGGCTGTTTGACGCTTGGCAGCGCGAGGTCGCTGCGCG CACGGCCTCGTCCCAGT >NODE_284_length_256_cov_1.661202 GATACTGGCATGGCTGCGTTGGGCGTGCGCAGCATTGCGCAATGGCGCAACGTGCCGGGT CGAGTGCCAAGCGTCGGATCACGCCCAATAGCGGACATTCGATTTAGCTACACGCAACAT CGCAGTGCGATGGATCGCGCGCCAAAGGCGGGTTGGAGGGGCGGGCAAAGCAGCATATAG CTGCGGGCATGATAGTCGTGCACGAAGATATAACACAGTCGGAGCTACTGTGTAGATATG CCTCGGGGCAGAGGCG >NODE_285_length_256_cov_0.841530 GTGTAGAGCCAGCCGGGCAAGCTCCAGTCGGCGTCGGGATCGTGATCGGCCGAGGGGGGC ATGCGTGGCTCCGGTTGCTTGTTGTACGATCGTATAATAGGAATTCGCCGACTGCAACAG GAACGGATCATGAGCAAACCCGCTTTCTCCCGCGCCGAACCCGATGCGCGCCGCCAGTCG CTGATCGAGGCGACCGCGCGCGTGCTGGCGCGCGACGGCGCGACTGGCGCATCGGTGCGT GCGATCGCGCTGGAGG >NODE_286_length_256_cov_0.841530 GGGGAGAGAGCCTCAATCGTCGCGTTTCTTCGGGGATTTTAGGCGTGCCATATCAGCTTG TTCTTGGTGCGTTCGCAGATCGAGGGGTTACAATCGGGGGATTAACCGGCAAAACCGGTC CCGGCGGGGCGTTTTCCCCGAAAATCCCCGGTGAAGGGGGCGTCACCGAACGGGTGCAGC AGCAGCCTTTGACGAAGCAGCATCGCTCTGATTGCTGGCGGGGGTAACGGCACTGGGCGC GACGCCGAGCTCGGCC >NODE_287_length_256_cov_0.841530 GGCTGGTGCCGCGGTCGTGGGGCTGTACAACGCCAGCACGGGCAGCAGCGTCAACTACGT GCGCGAAGACCCGCCGTTTCTGACCCGGGGCGTGGATGTGCTCAGGGTGCTGGCGCTGAT TGCAGCAGGTGGCGTGGGAGCAGCCCAAGGCTGGGTGAGCCCGCTTCATGGCCTTGGTGC TGCGCTGGCCTATCCCATCCTCGCCCCGCTGTGTCGGCTGGTGCAGCGCCGACGGCTGCA AAGCGTGGTGGACGAT >NODE_288_length_256_cov_0.841530 GTCACGCCCGATGGGCGGATTAGACCGGACGGTGAGAAGCTGCTTGCTCGACGAAACCGC ACGTCGTGAGCCAACCGATCTCTGAGACAATTGCGCTTCGCCCAGGGTTTGAACGTCTCC TCTTCGGTGTGCTTCTCGCATCCACCATCGGCGATGAGATTACGCAGGTGGCGCTCGTGT TCCGGGTAGCTCCGGCCGGCTCTGGTCCGCAAATAGCAGCCCTGCTGATTGCGCTTCTGC TGCCCGGTGCTTTGGT >NODE_289_length_256_cov_0.797814 GCTTATTCCTTGCGCACGTTTTCATCTGCCTCGTGAGGCGCTTGGGCGTTTCCGCCATGT GGTGTGTCGTCTCTCATGGGGGAGACTCTATAAGCGCGCCTGTTACTTTCAAAACAGTGA TACGTCTTTTTTCGTTGCTCATAAAAAGAAGTCACGCTATTATCCGTTACCAGACCTCAT CGAGGATTTAGGGATGGAAGACAAGATAGGAGTATCCCTTCGCGAATTCGCGGAGGGACG AACGCAGCCTCAACTG >NODE_290_length_255_cov_0.846154 GGCCACCACATCGTCCATGGAGGCGATCTCCAAGAACGAACGCGGTGCCCTGGTCGCGCA GGAGATCGCCTCCATGGACGATGTGGTGGCCGTGGTGGGCACTGCCAACAACTGCTTCTA TTGGAGACCTGAGCATGTTCAAACTCACATACCTGCCCATCGTGCTGGCGGTCAGTTCCA GTCTGAGCTACGCCCAGAACATCAAGATCGCCCTGACCGGCCCCTTCAGCGGCAGCACCA CGCCCGTGTTGGCAG >NODE_291_length_255_cov_0.846154 GGATGGCACCGACGAGCTGAAGCTTGTCGATGAACGGTATTCGATTGGATGGCGAGACGA TCGGGACAAATAACTCGCCATACCCGAAGCCGATATCTTGGGTTTGGGCAAAGACATTGA TGACCGATACGACGCCGCCAGTCACACGGCGGGAGTCGACGACAAGTCTATTGGACCGAA AGCCGGCTCCGAGCGCCAGCCGGACGTCGCCGCCTGGCAGCGTGAACAGCGGGCCTTCGC CGCTCAGTTCTATAT >NODE_292_length_255_cov_0.846154 TTGCGAAGCAAGGTGGGGGTGAGTCGCCCCGACCAATCGTTTATCTGGGCCATGCGCTGC ACATGGCTGATTGCCAGTTCATCTTCTTGTGGATTTAAAAGCAATGCGGCCTTCATCTGA TTGCCCTAGTCATTAGCCAATTGACGCCATTTGAGTTTCCCAAGGGAGCGGATAACGGCC GCAAGGTTGATTTCATGCTCAGGTGTCCCATCCCATACATCTGCAACTGCTGCGAGCAAA AGGTCGCTCTCACGC >NODE_293_length_255_cov_0.846154 GTCATGAGAGCCGCATGAAAGCTCTCTTGGATTCGGCTCTTGGAAGATTGTTCCAGTGCG AGCGTCAGCGCTTCAGCAAGCCGAACCCCGTGCTTGCGTCCGTCCGTTTCGTTCTGAAGG ATGTCGAGACGTAGATCTGTTGGCTGCTCAGGATCAGACGCCTGCACCAGTTTGCGGGCG GAATTGCGAAAGAATTTCTCGGCATCGCGTGATTCGTCATGGGCACCGCGAGCCAGTGAT CCGAGTAGATTGAGC >NODE_294_length_255_cov_0.846154 GCCATAGCGGAAATCGGGTGAGAGCAGGCCGCTATTGTTGCCTTCGCCGACAGGATTGGA AAAGGCGGGCAGCGGCAGCGTCGGCAAGCCGAACAGGTTGATGCGCGCGCCCGTATAATA GATCCGGCCGCGATCGGGGCGATAGAGTACGCGAACCGCCGTGATCTTCCATGTCGGCTC TTTCGGGCAGTTGCTGGAATCGGTCACCGCGCACGGCGTGTACGCCGCATCCTCCAGCAC GACGACTTCATCGAG >NODE_295_length_255_cov_0.846154 GTTCACATCCTGCGCGACGAGATCGTCGACGAAATCGGCGACCTTGGCTTGCAGCTTGGT GCGCACGCCGTCTTCGACCGGGACGAGACCCACCGCCTTTTCGGGCGCGAGCGCGGGCAC CGGGTCAGGTGGGGTCAGCACCAGGGGGGTCGTTTCGCTATCGGCAGCGGTCGCCATGTC GTCACTCCAGCCGGGGATGCCCCTAAATGAAGCGGAATGCTGCGGGGTTCAAGTGTATCG TTTTTATAATACACC >NODE_296_length_255_cov_0.846154 GAAAGAAGGTGTCGATCAGCTCGAATTCGCTCAGGCTCATGGCGACATTGTCTCGCCTTT GGCCGCGGGCCAGCCCAAACGTCAAAGGCCACCCAACGAACCGATCGTGGGTGGCCCCGA CTTCGGTCCACTTTCCTGATGGACCCCCCTGAGCAAATGCCTGTAATTGTGTGGGTGCAA CGATAGCATCGAGGTGGGCTCAAGCCCCTCATCTCACGTCTAAACCAACGTTTAAACCGG CGCCTCGGCCAGGAT >NODE_297_length_255_cov_0.846154 GTATTTTGGCAGCTCTTCACAGTAAGGAGCAGACCGGAGAAGGAGAAAAGGTTACAGTTT CATTGTTCCATACAGCAGTATTCGGGCTGGGACTATATGTGAATGCGGCACAGTACGGAT ACAATATGCCTATCACTCGCAAAGAACCGCCAAACCCTCTAAACACTACTTACAAATGTG CTGACGGAAATTGGCTTCAATTGGCATTTTTCCAATATGACAAGTGGTTCCCGGGATTTT GCGATATTGTAATAG >NODE_298_length_255_cov_0.835165 GGCTCGGTCCTCAATGGCGGCAATTCCGGGCCTGGCGGTGACGATTTCGCGCTCGCGCCG AAATGGCTGGCCTTGGCCGACGCCTTTTATGATGCCTCGGTCGATCGGTCTGCCGGAGGA TCGGGTATCCCGATCCTGTGGGGCATCGATGCCGTCCACGGGCATAGCAACATCATCGGT GCGACGTTGTTTCCACAGAATATCGGGCTTGGTGCGACGCGCGACCCTGCGTTGATCGAG CGGATCGGTGCCGCG >NODE_299_length_255_cov_0.785714 TATCCAATGGCGGATTCAAAGAACATTGTATGGGCAGTACTACCTGAATATGTTGGTATA TCACGAACAAAATCATCAGTTACAACTGCCTCATGATCAAGACTTGTTATCACAGTCGAT CGATAAAGAAGGTCAAATTTCAGTTCAACTGAATTTGCCAAATGTTTCTATTCATACTCT GAAGCTTGAGCGTGATAATTTCCAAGGCATTAATTTAGCAGAGTGGAAAGTTATTTTTAA CAATATGCTCTATCC >NODE_300_length_255_cov_0.659341 ATAAGACGACCTCGCTTGGCCCACACCCCTCGGAGCGGTTTGTGCCTAGCGATGTCGTCT TATTCCCAGTACACATCATTCCAAATGCCGAGTTTTCGCGCCGCTTATCTATAGTCTTAC AATGTTTGAGGCTTCTATGTTCATTTTAGCGGTCTCAAGTCACCGACAATGTATTGGGCG GAACTCGCGGAAGTTTAATACGCGGATTTGTGTTTATTGTACATAGACGTTGTCCCTAGA TGCCCGAACCAAGCT >NODE_301_length_254_cov_1.215470 TCACGGCCCTGATTGCCCAGGATTGCTGCGATCGTCATCGGCTCTCTCCTACTGCGCTCG TCATCCGAGTCTCTCAGGCGCTTGAGGATTTCACGTTTCGCGATCTATGGGAAGCAATGA CGACTCCTTCCGGCCTCGATGATCCTGCTTATGCGGCCTTCGCCTGGGCGCGCTTTCGCT GCATCCTCGGCTGGATGGCGGTGCTGGCAGCGGTGTTCATCGTCGCGGCGATCGTGGTGC TGCAGCATTTTTAT >NODE_302_length_254_cov_0.972376 GCCGAACAGCAGCCAGCCATAAAGCGTGCCCCAGAACCGGCTCGAATAATCCATCGGGAT CACGGTCGAGACCGGCGCGCGTCGCAACTGGCGTTGCCCGCAGCAGTGCGCCACGCGCCG GTCTCGACCGTGATCCCGATGGATTATTCGAGCCTGTTCTGGGGCACGCTTTATGGCTGG CTGCTGTTCGGCACGTTACCCGGCTGGGGCACTGTCCTCGGCGCGCCGATCATCGTGGCG AGCGGGCTCTACAT >NODE_303_length_254_cov_0.850829 GGCGATGTTGTAGAGCAGTTCTCCTCGCCTATTCCAATCTACTTTGGACATGGCAAGGCG AAAGTATCGTTCAGCATGGTGTGGGTGGCCCAACTCACTAAAGCAAGACCCAATAGCCCA GAGCGTATCAACTTCACCTTGCGCGAATGACAAAGCTTTGAAGAACATCGCTTTGGCCTG CTTCAGTTCACCAGCTCGATACAGTAGATCGGCCTTGCGATAGAGGGCCAGGTGCAATTC CCAGTTCTCGACAG >NODE_304_length_254_cov_0.850829 CGGCGGCGGCGATGGCGCAGGAAGGTGCCGACCGGCCGCATCGCGGCGAGGGTCAGGGCC AACGCGAAGGTCGCCCGCAACGCCCGGCGATGATCGGAGACGAAGGTCGCCCGCAATGGC GGCGTCCGGAGGGCCAGCCGGCCGGGCAAGCGCCGGTTGCCCGTCCGCCTGCACCCCAGC CGCAAGCGCAGCCCCAACCGCAAGCACAACCGCAACCGCAACCGTCTCAGCCCCCACGGT GGGATGGCCGCGGT >NODE_305_length_254_cov_0.850829 GCTTCTGCACCATGTCGCAGAAAATGCCGGCTTCTTGCGCGAACAGCGGATCGGTGTGCT CGCGCGCCGCCATGTCGGCGAGCAGCAGCGCCGCCAGATCGCGCTGTACTTCGGCGTGGC AGATGTCTGCTTCGGCGATGCCGGCGTCGCTCAGCATCGGAAACACGATCTCGTCTTCGA CGTCGCCATAGCGCAGCCATGTGCGACCGAGTTCACGCAGTTGCGCGTGGGGCTGTTGGT GAATATGACCGGCT >NODE_306_length_254_cov_0.850829 TGGGGGGATCAAGGAAAAAGTGCTTGGTGCACATCGTGCGGGATTCGCAAGATGATTCTT CCTAGACGCAATGCACGTGAGTATGAAGACGACGTACCTACGTCTGTTAAAAGCGACATC CACGTTGAATACGTTCGTACGATCCAAGATGTGCTGTACGCCGTGTTTGGGGCGAGTCTC GAAACACAAATCAGCACCTTGCACGGCGGCCTCGAAGGGCGTCGTCGTTTGCAAGAGCTT GATTGGCACAGTCG >NODE_307_length_254_cov_0.850829 TGTCACCTTTGCAGCTCCTCGCCGGCAAGCGGCTCGACCATGGTATCGGCCGCGCATTGA GCGACCTGAAGGCATTGTCCCTTTCGCCCAGCGAACTGGGCGTCGATCTGCTCGTCGTGG CGGCTCATGTCCACGCCGCCGATACGAGGATCGCGCGCGCGACCGAGGCACAAGACGCAT GGACACGCGAAATCCGGCTCGTGGTCCCGGTGAGCGACCCCAATCTTTGGACGGGCGCCG CGCCGATCCTCGTG >NODE_308_length_254_cov_0.850829 GTGGAAGCGCGCACCAACGGACAGCGATGTCTTGCTCATCACACGTGATGGCGTTTTCTT GCAGCAGATCAGCATCAGCCGCTACAGACTGTCTGAAGCCTTTGCAGGTGAAAAGGTCAC AGCTGACACGCCGCCCGAGCAACTGGGGCAATGGCAGCTCAAGCGCTTCAAGGAGGATGA GCCCGATCTTGTACGCAAGGTTAGCGAGGAGTCAAAGGGGGTGCTGGCCATGTTTCCGGT AGCCAATGCAAGAC >NODE_309_length_254_cov_0.850829 TTCGGGAAGTTCGAGAAGGAATTCCAAACAGACCTCCCGCTGCGCCCGAAAGGCCTGAAG TCCGACATCTCGGTGAATGACGTTGACTCCGATGAGATGCGACAGCGCGAGCAGCGCGGC GGCGGCGGCGCGAGATTTGCTCATCCCCATGTCGCGGTAGATTTCGGCGATGATCGCGAG TCGCTCACTATCGACCTCGGAGATGGCGCGGCGCGCCAGTTCGGAAGACCGCGCCCATTC GCGCAGCGCATGTT >NODE_310_length_254_cov_0.850829 GCACTGGCAGCTACACGATCCTCGCGCAGATTGCGGGCGAGGCGCTGGGGCTGCCGATGG AGCAGATCGACGTGATCCTGGGCGATACCGATTTGCCGCCGGGCGCGGGCTCGGGCGGGT CGTTCGGTGCGGCGAGCGCGGGGTCCTCGGTCGCGCTGGCGTGCGAGGACATCGTCGCGA CGCTGGCCGAGCGGATGGGGGCCAAGGCGCAGGACATGACGTTGAAGGACGGTCATGCGG TCGCCGGCAACCGG >NODE_311_length_254_cov_0.850829 GTGCATGCCCGTCAACTCCCTGCGGAACTGATTGTCTGCCAGGACCCTTTCCAAAGATGA CTTTCAAATCCTTAACCATATCAAATACCTCACCACCAGTATGTTTCGCAGGCTTTGGCC GGTGATCTGCCTTGCCGTTGAAATGCTTGCCTTTCTTTCTTAATTTATGATGTCGGGGAA GAAATCGACGATGCCCCAGGTACACGTTCTTCTTACAATTACCCAAATATATACTTTCAG TCTCATGTAAGCAG >NODE_312_length_254_cov_0.795580 AGAAACCAGTGTCCGCCGAGCTGACTAGCTTGATCATGACCGTGGTCGGCTTAGCCATTA CCAGAATTCCTGTCATCTGAAAATTCACAAGCGGCGAACCGGTCGCCGCTCAAAAGCGTC GCCCGATGAAGGAAGCAGCGCGTGATGTCCAGCACGACGGGAAGATTCGGCAGGGCTTTA GCGCGTGTTTACCACCGCGCGCGCATGATGCACGTCAGTGGGGACGAAATATGGCGGCAC CTGACAGCGCATTC >NODE_313_length_254_cov_0.773481 GACCATGGAAATAACCAGCCCGACGACCAGCATCAAAATGAGCGGAGGCCCGGCGATGAT CATGATGACCCAGAGTGCCTGGCCCATCGAAACCGAAAAAGGACTGTAGGTCTCCAATTC GCCTCCCGCGGTGACGGGGTCGCGGCGCCAGGACGTGCGCCTAGCGATCCTTGCGGGGCG AGGGGCGTGGAGCGCGATCATTGCTTCCGATCCGTCTTCCCCACGTCCACTTGCCCCCGC GCCACGCTGCGACC >NODE_314_length_253_cov_1.283333 AGCCAGTAGTCGATGTCTGGGCCAATTCTAGCTTAGAGTGTATTGCTGAATCTTTGCCCA TGCTATGTTTATCTTGGAGCCTTACACGTTCATAGTGGGAACTCACATGTTTGTTCAAGT GATGTGGCGCTCTGCCAATGCCACAGATAACAGGTCAATTGCAATACAACTCACATTTTT GTTCAAGTGGGAACTGTTCGCAAAATAGGTCACGTATAACCGATAACTGTAATATTTCAT AGTTCAACTCCTT >NODE_315_length_253_cov_1.283333 GAATGGAGCGAGTTCGATCTGGAAGCTGGCCTGTGGATTATCCCTGCCGAGAAGATGAAG ATGCGAAAAGCCCACCATGTCCCACTGTCGCGGCAGGCAGTCGAACTCTTTAAATATCTG CAAGGGATCACAGGGCCTTCGGGTTATGCCTTTCCCTCGGTCCGCAGCCGGGCGCGGCCG ATGAGCGAGAATACTCTGAATGCGGGACTGCGACGGCTGGGCTATACCAGCGACGAAATG ACCGGTCATGGAT >NODE_316_length_253_cov_1.272222 CGCGTGACCCGCTAGACCATCGTCATGGTGGGGATGACAGACGAGGAACGCGCAGCAATC GACCATGTCGCGACAGCGCCAATGCTGGCGCAGGTTGAAGCGTGGTCGGCGATCAATTCG GGCACACGCAATCTCGCAGGCCTGGCGCAAATGGCCGAATTGCTTGTGGCGGCTTTCGGC ACGCTTCCGGGGGAGCCGGCGCTGGTTGTCGGCAACGCCGCACAGAACGTCGCCCCCGAC GGCACGGTGACGG >NODE_317_length_253_cov_0.855556 CGGTTGTTCGCGGCGCTCAACATTGGCGGACTGGCCCTCGGTATCGCGACCTTCCTGGTC CTTTACCTGTTCGTGCAGTTCGAAAGCGGTTTTGACCGCGTCTTGCCCGAGCAGGACAGA CTGTGGGTAATGGAAGAGCGCTATGTCATGCCGGGATATCCGCCTGACCCCGCATCAACT CTCCGGCGGATAGTCGGCGCGTAACTGAACGAGTTCGCTGCCCATCGTGTTGGGATTGGG GTCAGGCGGATAT >NODE_318_length_253_cov_0.855556 GTGGCATATTTGCGGTGACGGCTGCAATAGATCACTGGAAAGATTTCAGGGATGGGGTGA AAGAGTTCTGGTTTGCCGATTATCCGAAAGCGGAACAGGAATAAAGTCAGGCTTTTGACA GTAAGGCCTGTACCAGCAAGGTAAGGGCATTCCCAGACCGCAACCGGTTTACATCACGGT GGTTGTAGAAAAAGCCGCGGGCACTGACCAGTGCAGCTTCCAGCTCAAAAGATTCCTGAT CTTCCTTCCATGC >NODE_319_length_253_cov_0.855556 GCCTTGCGCAGGAGCACCAGGCGGCGCGCTTCGTCGTCGAGCATGGCACGGGCGTTCCTG ACGACCGCCTCCGCGTGCGCCGGCGGGAACTTCACGGCGCCGTTCTCGTCCATGTGGATG AGCTCGCCCGGCGCCACGTCCATCCCGCCGATCGAGACCGGAACGTTCACCGCCTGCACC GCCATCTCGCCGTGGCCCGCCGTGACGCCGCCCAGCAGCAGCTGGAAACGAAGCTTGCGG ATGGCGTCGATGT >NODE_320_length_253_cov_0.855556 GGCATAGGACGAGATTTGCTGAACCAGCAATTCGAGGGGATCAACCCAGTTCGGTACATG ATCCTATCGAACGGAAAAAACACGCTTGTGTTCGAATGGACAGAAGGCAAGCCGCTCATT GACGCAGAGTTTCACGAATTTCAGACGGGTCATCCCAAGCTGAAGCGCATGCAAACCCTG CTTGCGCCAAAGGCAACCGCCGATGTTGCTAGTCCTGTCCAAGCAGCGCACCGCTTCGAG CGCAAGTCTATTG >NODE_321_length_253_cov_0.855556 GAGATAGTCGTCGAGGTGGAAGCGGTCATAGGAGGTGACGGTGATCAGGTTGGAATCGCC GAACACGGCAACCTCGGTCCGCAAATATCCGCCGCCGCCCGAATATTTTGTACGCGCGTC GAAATTGTTGCTGACGTCCTGGTTTTTCTCGCTGATCGTCACGCCCGGAAATACCACTGC GGGGGTAAGACCAGCCTGTCCGCGGAACAAAGCATTGGACGCGACGCGGATGAACGGACG GCCGACATCGGTG >NODE_322_length_253_cov_0.855556 TAGCGAGACCTTGCGCGATGTCATCCGCCAGATTCTTGCCCATGTGATGGATCAGAAGGT CGGAGTAGGGATGTACGGTCAGATTTTGCAGAGCCGCCGTTTCGCTCCTAGGTGGCGTAA CCATCGTCGGTGTGTGGCAAAGAGCGCAGCCAATTCCGGGACGATCGGCTGCCGTGCCGA ACAACTCTTGTCCACGCAAGGCGCTTGCCGAAAAGGTGGCCGGCCTCGGCGCGTCCAGAA AGCGCATGAACAT >NODE_323_length_253_cov_0.855556 GGTTGTAGGAGCGATTGCCGTCCTGACGCCCATCCTGACGATTGCCGTCCTGGCGATACC CGTTTTGCTGGCCGTTGCCGTTCTGGCCGCCACGCTGCTGATCGCCGCGCGGCTGCTCCG GAACGCGCTCGCCCTCATCTTCATAATCGGGCTCGTCTTCATCGAGGGTCGCGCCCTGAA TGCGGCGAGTCGACGGCGCGCCGCCATTTTCCTCGAGGCGCGCGCGGGTCTCGGCCAGCA CACGAAAGTAATG >NODE_324_length_252_cov_1.653631 GATCATGCCTGGAACGTGACACACGTCGATACGGCGAGCGAGACGAGCTGGCTGACGGGT CGGTTAACCTTCATTCGCGAGCCGCTGGCGGAAGCGCTGAACGAGGTTAACCGTTACTCC GCGCGCAAGATCGTCTTTGTGGACGGGCCCGCACCGGCGACCAATATTGTCGGGGTGTTT GCCGCCGGCGATGTCGACAGCTTCGTTACGGCGCTGGAGTTGAACGGAATCGCGCGGGTC TCCGATCGCACC >NODE_325_length_252_cov_0.860335 TATGAAGGCCGCGCTGCAACACCGTGACCGCAGCCTTCATATCAGGTGTTAGGCCGTCTT TGCCGAGCAATGTCTCGGCAATCTCCGGAATGGCAGCGTCAGGGATCGCCGAAGGGGATT TCCACCGCGACTTCAACTCGGTTGGCAAGGCATCGTAAACCCGCTGCGCCGCCGAACTGC TCGCCGAACCGATCGCACCCACCAGCGGACGGATAAGATGGAGCCCAACGCCCAGCGCAG CACCACCCACCC >NODE_326_length_252_cov_0.860335 CTCTATGTTGATGTCGCTTAACGCCTGAACTACACGTACGCCGGTCTCTTGTCCGAAGCG GCCACCAGTGACATACGACGCGATCGTTTTTTTTAGCGAGTTTGCACCTGCCCCGTAGAT TTGAAAGTTAACGGATACGTTTTTGAGGGAAATGAAAGCCATGGTTCTTCAAAGCCAGTA GACAACGCGGCGGCGATACTTGGCGAACAGCGCACATGAAATAATAATACTCACCGCTGT CCACCCCAGGAT >NODE_327_length_252_cov_0.860335 TCATAATAGTCCGCAAGGTCGATCGGTTGATCCAACTCGCATCCGATTCGGCCGCCAAGT GCCCAGCGGATTTCCGCTACCACGACACCGACCACCGGCAACGTGACGCGTAACCGGTCC CCCTCGCGATACGGAACCTCGGCGCGCGCCATGAGGCCGAGCGCCGACAGGTTCACGATC AGCAACGACACCTGTTGTGCGTCCGGGCCATAAGCCCGAGCGCGATAATGTACTTCGTCG CGGGCCAGGGCG >NODE_328_length_252_cov_0.860335 CTACAAGGTGGGCAACTCGATCCCCTTCGGTTCAGAGCAGGCTGCTTAAACCCCAGTCAT CTTCAACGACATCATCACCCTGGCTGGCGATATCGAACTGGCGCCTAACTGGCGATTGGT GAGCGAGCTGGTGCGCAACATCCAGATGCGCACGGAGAACGGTGCCAACACAGCTGGCGG CTACTTGGCCGTACTGCACAAGGTCGGTGATTTCACGCCCTACGTGAGCTATGCGCTGCT GCGCTCCATGGG >NODE_329_length_252_cov_0.793296 ATGGTAAGAATATAGTTTAGCGGCGCGAAAACAGGGAATTTGGAATGATGTGTACTGGGA ATAAGACGAAATCGATTGGCACATACACCGCCTTCCGGAGAGGCCATATCGACGTCGTCT TATTCCCAGTACACATCATTCCAAATTCCGTGTTTTCGCGCCGCGTATCTATAGTCTTAC CAAGTTTTAGGCTTATATGTGCATTTTATCGGTCTCAATTAACCGCCAAAGTATTGGGCG GAACTCGCGGAA >NODE_330_length_251_cov_1.443820 ACAACAATGGTAAGGGCCCAGCCTCACCTAAGCTCCCTCCAGCCCCAGTTGGTTGGGCTT GGTCCCTTAACCAGATCCGTGGCTTTTGGTTAGCAGTGACAAGAACTGAGAAACATTGTC CTACATGAACGTCAAGGGATTCGTATGTGTTTTGGACTGTGTGGGAGCCTTCCATCTCAA CCAGCTTCATAGCGTGACCTTGGATCCTGAAGTTGAGGGATGCCTTAAGCCCAACATTGC AAATTCTGTAC >NODE_331_length_251_cov_0.865169 GCCCTGTATCCTTGCCCAATCAGGCAATCGTGTTGTGCAGCGGTGGAAGTGGATATGGGA AACGAGACCGTGGTCAAGGGCTTTAGCCAGACGGAAGGTTAATATGGACGCTAATGAGAA GCTTCAGTACGCCAGGACGATATTGTCCGTTAGCTCTCCGTTCTTCGCTACCTTGGCTTT GCAGACCAAGGTGTTCTTCAAGGGACCGGAAGAGTCCCCAATACCGACTGCCTGGACCGA CGGTCTGCATG >NODE_332_length_251_cov_0.865169 GGTCCAGGCGGTGTCGTCGGCAAACCACCCGGCATCGGTGTGGCCATGCGGGCTGACGAT CGGCAAGTCCGCGATTTCCGCGTAAAGCGTGCGCGCAATGGCCCGCGTCGTTGGATCGCT GGGAAACAGGCGATCGGGGTTCAGGTCGAGCGGCCGTGCCATTGTCATTCTCCCTCCCCG CACTGTTTTATGCGGGCTCTGGTAACCGGTGTCAGGTTGGGTCGCAACCCCGTTAGTGGA TGATCTATATG >NODE_333_length_251_cov_0.865169 GGTATTGCCGATGTATTGTTCTCGGGATTGCGGCGACGCGGTAGTTGACGGCTCTTGAGC AGCTTCTGCTCCGTAGGCAATCGCTGCCAGGATGTCCTCGCGCACCAGGTGCGGACGAGG GAAGTGGGGATTCTTGAATCTTGAGGTGGCTTTCGGAGTTGGTGACCGGAGGTTACCCAT GACTGTCGACCCCTGTGCGGACTGAGACGCCCCCTAAGACGGGCGTGTCAGCGACGCTGC GACCGCTCTAT >NODE_334_length_250_cov_1.305085 TATTCGGGCAGGCCGGGGATATCGACCGGATCGAAACAGAGCGTGTCGCCCTCGACTCGC ATCCCGGCAAAGCCCATCGCCAGCGTCGTCCAGCTTCCCGCCAGGGCGGCCATATGCAGC CCGTGATCGGTATTGCCGAACAGATCGGACAAATCGGTCAGCGCCGCGACGCGCCAATAA TGCGCGGCGCGCGCACCATCACCGGCCCGCGCCGCGGCGGTGGCGAAGGCGCTGGCGGAC AACGTCGAAT >NODE_335_length_250_cov_1.305085 GCTCGGGCACGGTCAACACGCGCACGACTTTGCCCACCCACGGTTCGAAATCTTCCGGCG TCGGCAGTTTCATAGTCATCCCCCAATGTACCGCTTCGGCGGCGTTGCGATTCATTGGTC AATGGTAAAGCCTGCCAGCATGGGCGCAACCACTCAGACGCCGGTCGATCGCCCTTTGCC GCGCTTTCCCCTTCCGCGTGCCGCGCCGCCCCAACTCTCGGCTACGCTCCAGGCTGCCGG GGTGCGGCTC >NODE_336_length_250_cov_1.305085 GCTCGCGGTTGGCGGGTGTCGGCTGGACGACGTTTCCGCCGATGTGGCGATACAGGTGCT GGCAGCACGGCCAAGCGTCAGCGGCCCCGTCCGCGCCGCACGCGCTGACTGTGCGGGCGT GCAAGCGACGGGAGCAGCCGTCGACCTAGACGTGGTGCTGAACCGGCAGCTCGACCGATG GAAGGGAAAGGCACAGCTTGGTATCGCGGCTGTCGCGCGGAGCGGTGTGGGCGCGCGCAC GATCATGGGG >NODE_337_length_250_cov_1.288136 GCGCTGCGGTGGCCGCTGTTGGCGTCCAGCGAACTGGTGACGTCGGCATCGACACGGTCG CCACGCAGGCCCACGGAGCTGCGCAGCCAGGGCAGCCAGCGTGTATCGTTCTGGGCGTAG AAGCCCAGGCTGTTTTCGGTGACGCGGCTTTCCTGGGTGGTGCTGTCGCGTTGGCCGTTC TGGGCCGTGTAGAGGCCAACCGGGTCCAGGTGATCATGGCGCCATTGCAGGCCCAGGGTG TTGCGGCTAT >NODE_338_length_250_cov_1.186441 TCGTTGAAGGCCGCAAATGGGGGCTTATCGTCAGCCTCGGCATCGTCCTCTTCGTGTTGC TGGCCCTCTACGCTTCGATTCTCGGGGTGCTGTTGCCCAACCAGATCGAGAATCTCGATC CGGTCGGCAAGCTTGGGACGTTGGGCGTGGTCTATGCCATCACGTCGGTGTTCAGCACGA TCACCACGCCGGTGTCGGGCGCGCTCTCCGACCGGACGCGGTCGCGCTTCGGGCGGCGGA CGCCCTGGAT >NODE_339_length_250_cov_0.870056 CCCTTGTACTGGTAGGCGTAGAGGTTCTGGCCGTCCTTCGTCTCGCCGACCTTGCGGATG TTTTCCTTGGCCTCGCGAGTGGAGAGCTTCAGCGCTGGATTGCCGAGGAATGCCGAACCG AGCCCAAGGATACCACCAAGCAAACCTTGGCTCGCCTGCATCTGCTGATTGTAGATGCCG AGCTTCTGGTTGTAGTTGTCGTTGACCAGGCCGGCGTAGTCGACATTCGGTATCGTCGGC ATGTTGGTGT >NODE_340_length_250_cov_0.870056 GCTCGCCACCGTGCAGACCTTTTGACGCAAACGGGAACTTGCCGGGAGGTTTAAACGTCC CGCAGACGGTCGCTCCGTTTGGCGGAGACTGCCGCCTCAATCCGGAGCCTCCCCATGACC GACCGTATGCTCTCTATCCTCGGCTGGGTGGCCACCTGCACCGCGATCGCGATGTACGCG TCTTACGTCGACCAGATCCGCCTCAATTTGGACGGGCACAAAGGCTCGATCGTTCAACCG ATCGCAACGG >NODE_341_length_250_cov_0.870056 GCACATGCCAGGCATCCTGCACATGGCTCTGCAACTCGCGACGCGCACGACCGAATATCG CATCGATCGCGGTGGCATCGTCCAGACGCTGAAACTGTCGCTGGGCAACCATGACATCGA ATTTGGCGGCTGGTTCGAGCGGCAAAGCTCTTCGGCCTTCCGTCGCTGGTACGCGCTCGA CATCAATAACCCGTCGACGCCATACCAGCGCCCGCGCGACACGCTCAACCCGCTGATCAC CCAATATTAT >NODE_342_length_250_cov_0.870056 GAAGAGAGCCGTGCATACTAGCTGTCGTATGTCCTCCCTATGTCGAAGCAACGACTTTTT CCGAGGGGGAGGGATGACTTTATCATCTTGTTGTAACTGTGAAGCACTTTCTACGACAAG GTGCGTAGCCGCCATGCTGCCTACTCGTTTGCCTAATGCTTGTCCAGGGAAGATGGGTGA TGTTTTGAGGAGGAGGGTGAGAATGATAGGACGCGTTGAGATCAGACGATTTGATTGGAT CTTAAAGAGT >NODE_343_length_250_cov_0.870056 GTATGGCGATTTGTACGGTGCCATCGAGACCGCGCCCAAGCATGACTGGCGCGGCTATGC CCCCGGGCTGGTGGTGGTGCTGATGGGTACGCTGGCCGCCGGGTTCCTGTCTGATCATTA TGGCGTGCCGCTGACGCTGATGGCGTTGCTGATCGGCCTGTCGCTCAATTTCCTCAGCGC CGATGGGCGACTGACGCCGGGGCTGGCCTTTGCCTCGCGCTCGCTGTTGCGCTGGGGGAT CGTGCTGGTC >NODE_344_length_250_cov_0.870056 GCAAAGGCTCCACTTCGTGGCAATCGTCCAGGGCCTGTGCCAAGGCATGGGCGTCGCTGC CCCCGCACCGGGCAGTGGCCAGCAGGCCCCGGCCCGGCGCAGTGGCCGCCAGTGCTTCTC GCAGACTGCCTTGCAGCACGGGATGACTGGAGACTTCCACGACCACCCCGTCACTGGCCC GCAAGGCCGTGCACAGTGCATCGAACCAACTCACCGGCCCGGCCACCGCATCCGCCCAGT AGCGCGGGCG >NODE_345_length_250_cov_0.870056 GTCTTAGCAGTGGAACAGATGCGTGCCTATGGCGTCAAATCTTATGAGCAACCACTCCCG GCCGATCGTTTTGATGAGCTGGCAGCGCTCACCAAAATCTTTCCCGAGCAAATTTTGGCG GATGAGTCTTTGTGTACAGTTGACGATGCTCGTTATTTAGCCGATAAGAAGGTTTGCAGC GCCTTCAACATTCGCATTTCGAAAGTTGGCGGAATTCTGGCGGCGCGTCAGATTGCCGCC ATTGCAAGAG >NODE_346_length_250_cov_0.870056 CGCATAGGCTGCAGAATATGCGCTCTCACCGAGGATGGCGGCGATCGGCTTGCTACCCCG CGCGCGGTAGATGGTGTCGACGAGATCGAAGCAGCCGGCGACCTCGCCACCCGGGCTATC GAGATCGAACGCGATGGCATCGACATTGGGATCGGCGAGCGCGCGCATGAACTGCAGGCG CATGCGATCATATCCGGACATGCCGAACAGGTCGCCATAGGACCACAGCCAGCCGAGCCG CTGGATCAGG >NODE_347_length_250_cov_0.870056 GGCGGGGAAGTGGCCGCAAGCCGCGGCGGCTCGCAATTACCCTTTGGTGCAATGGCGCTC CGGCGCCGCAGGGCGGAAGGTCGGGCCAGACATCCGGGAATCCCGGCCGAGTCCGAGGAG AGAATATCATGCTGCAACAGGCGCTCGACGAGCTTAAGGGCCAGATCGCGATCCGCTCCC GCTACGACAATTATATCGGCGGCGAATGGGTGCCGCCAGTGAAGGGCGAATATTTCGACA ACCCGTCGCC >NODE_348_length_250_cov_0.870056 CTGCTTTCCTTTATGAAAGTGATTGGAGTTTATCCGGCGGGATTGCTCATACGGCTGCCG TCCGATCGCCTCGCGGTTACCCTGCTGAACGGTCGCCGTGCATCGCGCGCCAAGGTGCGG GTGTTTTATTGTGCCCGGACCCGGACGCCCGTGCCGCTCCAGGATGTCTTCATCGAGGAC AACCTTTCCCACGATGAAATTCAGAAGGAACAAGACCCACTCGATTGGGGCATAGCCAAC TGGGCAGGCG >NODE_349_length_250_cov_0.870056 GGACTGCACCCGCGTGCTGAAGGCTTGCTCGGGCACGTTCAAGGTGCTGGGCAATTCGGT GCAGGGTGGCGCGTCGATCGGCTTGATCGTGACCGAGGCTGGCGAATCGCGCGATCCGAC CGATCTCATGCGCCGAGCGGACCTGGCGCTCAACGACGCCAAGCGGGACGGGCGCGGCGT GGTGCGCGTGTTCGATGAAAGCATGGACGAGAACATCCGTCTGCGCCGCGCGATCGAGGG GGGCCTCTCG >NODE_350_length_250_cov_0.870056 GTTCACGCCCGCGCCGAAATTTGCGATCAGCTTCAACGCGGGTCCCGCGCTTGCGATCAG CCCGGCATCGATTTCGTCGGTGACTGTGGGCACCAGCACATCGCATTCCGCCATGGCGGC GGCGAGTTCATCGCGGGTAAGGGCGGCGGGGCCGCGGTGGATAGTGGTGTGGAACAATTG CTCCATGCGGTCCATTACCGCATCGGGCAATTCGCGGGTCACCCAAACCTTCGGGTTGGG CACTCTCGGG >NODE_351_length_250_cov_0.706215 CTCGGGGGATGCCCCCAGCCTCACCGGCCAGGTCGAAATATAGCAAAAAGCCGGATTGGG CGGCTTCATCATTACCGTTCGTTGCGCGCCGCGCAGGTCTTAGTCGAGGTTCCTGCTCCG GTCCGATCTCAAAATGAGCCCGCACCACTGCGACGTTATTTGCAAGGAGTTCGTCGATGG CAGCACCTGGAGGCGTTAGTTGCTTTGCCCATTTCAATCGGCCCGCCTCAGTGAGGTAGG CTCGGCGCCG >NODE_352_length_249_cov_1.176136 CCCAAACAACCCGACTCGCCGACAGCGCCTCGTGGTGCGACAGGGGACGGGCACTACGGG GCTCTCACCCTCTCCGGCGCCCCCTTCCAGGGGACTTGGGCCCGGTCCGCCGCTGAGGAC GCTTCTCCAGACTACAATTCGGAGACGCCCGTGAAGGCGCCCGATTCTCAAGCTGGGCTG TTCCCGGTTCGCTCGCCGGTACAAGGGTTCCCCGAGTAACGGCGAGCGAACCGGGAACAG CCCAGCGTG >NODE_353_length_249_cov_0.875000 GCATAGATGAGCCAAGGGTTGGTCACGTTAAGTTTGAGGTTTACAGTCTTAACGTGACCA ACCCTTGGCTCATCTATGCAGACTCTAAGTTGAAGGGACAAGACCCTGAGTATTATCGTT ATGGAGGTGTCTCACTCCCAACTCCTAAACAATATACGGTAACGCTCAACATACAATACT AATTATGAGAAAAACACTATACGCACTTTGTACGCTTGTGCTCTTCTCGGCTTGCAATAA GTATCTAAG >NODE_354_length_249_cov_0.875000 TCCACGAGCATGGTGGCAAAGCGGAGGCTGCCATCATGCTCGTGGATGTCCATCCCGGCG AGATCGGAGATGAACTTCTGATAGCGAAAACGCTCGATATCGAGGATGAGCAGCCGCTTG TCGTGCTGAGCGGTGTTGCCATAGCGCTTGGCGCCGAGGAAGAGTCCCAACTCAAGCGGC ATATTGAAGCGCGGAAGCTTGTGGTCGTCATCCAGCTCGGTTCGTGAGAGATCATGGATC CCGTAGCGG >NODE_355_length_249_cov_0.875000 TTCATGACCAATCCGTCGCTGTCCGGTCGCGGTGCCTCGCTCGCCGCAAGCGGGTCGGTG CCGAAGCTGTCGCTGCGAAACCGGCGTTAGTCGCCCGATGGCGACGCTTCTGTTCCGCAA GGCGAAACCCGAAATCACGGGAGAACCACGCACCGGCATCATCGACATCGGGTCCAACTC GATCCGTCTGGTCGTCTATCAAGGCCCGGAGCGCTTGCCCGCGATCCTGTTCAACGAAAA GGTGATGGC >NODE_356_length_249_cov_0.875000 TTCTAGATCCCTCTGAAAAAATCTTCCGAGTTTGCTAGGCACTGATACATAACTCTTTTC CAATAATTGGGGAAGTCATTCAAATCTATAATAGGTTTCAGATTTGCTTCAATAAATTCT GACTGTAGCTGCTGAAACGTTGCGGTTGAACTATATTTCCTTATAACTTTTACGAAAGAG TTTCTTTGAGTAATCACTTCACTCAAGTGCTTCCCTGCCTCCAAACGATACCTGTTAGCA ATATTTAAT >NODE_357_length_249_cov_0.875000 TTGCTCGGTCGAGCGGATCGGCGTCACGCGCGTGCCCGCTGCCGACGCGGTGAGCATTTG GTTGGGAAGCAGGGCGTTCTCCCTGCCGCCGGGGCCGCCGCTCACGCTCACTTTGCCCTC GAACAGAGCGACGGCAACGGCGTCCCTGTCGAGCCGGACATCGAAAACCGTGCCGTGCGC GGTTATCGTCCGGCCCCCGGCGACGACCTCAAACGGGAGCGCCTGGCCTTTGGCAACATG GAACACGGC >NODE_358_length_249_cov_0.875000 CTGTCGCACCGGATCCCGCCGTCCAGGCCATCGTGGCCACCTGGCCGACGAGGGTGGACG GAGCTCGCGGAGTCTCCCTGGGACTTCGGGAAGCCGACGACCTGGCCACCACCCTGGCGG CGTACCGGAAGAGGTACGTCTGAGGGGCCGAACAAATAGTTCCCGAGCCGTCACAATCTT GAGCGGGTCTTGAGGTGGACCTGAGCAGATCTGAATTTTGTCCTGTGGTGAATCAATAAA GATTCCCGT >NODE_359_length_249_cov_0.863636 GTGTTTCCTTAGATCTTCAGCCCCAATTGAATCCGAAATTTCCAGCAGTTGCATAGCATT CCGTGGCTCCAACAAATGCTCTGCAGTCGCCATCTCACAAAGGCTCTTTAAGGTAGGTGC ATTATGGTTTTTGACATTGTCTTTTTCTGAGATAAAGAGAACTTCCTCTGACTCAACCTC ATCAAACACAAAACCCTCATTGAGTTCATCTGGATCACTTTTCAGTTTCCGTTGGGGAGA CCCATTTGT >NODE_360_length_249_cov_0.823864 GCTATTTTCTGAGCTTCCTGCGCGATCCGCGCCGCGGCGGCGAGCCGGTCGGCGCGACCG GCACCGATTTCACCTTGAGCTAAACCGGCTCGGGCACAATGCGGCCCGAACGATCGACCA GTTGGTCGGCAGGCGCGATCCTTACCCCGCGGTTCGTGCCCAATCTGCGCCTCTCGGTCG ATTGGAGCCGGATCAGCAAGCGCGACAATATCGCCTCGCTCGCGACCTTGTCCTCGCGCG ACTTTACTT >NODE_361_length_248_cov_1.760000 GTTGTTGATAGGGTCCTTTTTCGGTACGGCCGTTCTGGGGCTGTATGCGCTGGCCGTGCG TTTCTTCGATGTGATCTTCCAGACACTGTGTGGTCCCGTTGCCGTGGTGCTGTTTTCCTA CCTGGCGCAGACGCACCATGATCTGGCTGAGCTGAGGGCGAGGTATCTGGGCATTTTGCG CAACCTTGCTTTGCTGGCTCCTGCGGTGTTTCTGCTGGCTGCCATGGTGTTGCCTGACAT GTTGTTGC >NODE_362_length_248_cov_1.365714 CGCAAATACGTGCTGGCAAGCTCGCAATACGAGTGCGCGCTATCAAGCTGCGTAAATTGC TAACCTCTTGGCGCGTCAGTTGTCTCTCAATTTCTTTGTCAATTTTCCCCGGATCATAGC CACCGGCACCCGTAAGCTGCTTTGCTACTAAGCGAGCCGTGTTTTCATCATCCTGTGATC GTACGAATAGAAGGATTGAATTCAAACACGGCTCGCTTAGTAGCAAAGCAGCTTACGGGT GCCGGTGG >NODE_363_length_248_cov_1.320000 GGGTCAGGTGCTCTCCGCAACGCTCGATCCGGGCGTTGCGCCTGCTTGACCGTTAGCGTC CTGTCTTTTCGCCCCGCACCTGCGCGACCATTTGCGTGATTGCGGCGAGAACGACATCGG GGCGGTCTTTCATCACGGCGTGCGAACTGCCGTCGGCGAGCATCGCGCTGCGTCGCGGGT TCGCTGCGACGAAGGCCGCGTGCGCGGCCCGCATCCGGGCTGCCTCGTCCGGCGTCTCCG CCCAGGAC >NODE_364_length_248_cov_1.320000 GTGTTGCTGTTGCCGTTGGCAGACGCGACCACCTTGCAGTTTACCGTGCCGATCTTCGGC ACGCTGCTGGGGGCGCTCATCCTCGGCGAACAGGTCGGCATCCACCGCTGGGCCGCGGTC GTCGTCGGCTTTATCGGCGTATTGATCGTGACCCAACCGGGGACCGGCGCGTTGCCATTG GGCGGGGCGGCGGTCGGCCTTGTCGCGGCGATGTTCGTGGCATTGGTCGCGATCCTGCTG CGCCCGAT >NODE_365_length_248_cov_0.880000 CGCATTGCACCGCCGATGAATTTGCCAGACTGCAGCAGCTCAATGCGGACTACAACACCC GCTTTGGTTGGCCTTTCATCCTCGCGGTGCAATGCGTGAGACCGGCTTTGCTTTGCTCAT TGGTGGATTCGGCTGTGAGCTGCCCGGCCACCGCGGCCTTGCCTGCCAACTCGGGGTGAG CACGGATCAAGGCCTTCTGACGGTCTGCGCCAGCTTGTCTCACCACTTGCGCGAGCGCGT GCTTGAGG >NODE_366_length_248_cov_0.880000 CTTCTGCACTCAATAACTACCGTTACCCCTTCGGTAATTCCACCTGCTACGGCAATAATG TGCTGCACGAACAGGGCTACCGCATCGTTGCAAGGCACGTCGACAGCTGTGACTGGGCTT TTGACCGGACCGGCACCGTTGATTTGCACGAAGCCGTCTCGTGCGGTGTGGCGGCGCTGT TCCGAAGTGATTTCGTGGGCCACGTCGCATGGGCCGTGCGTGAACGGCAAGGTGGCATCG TCCTGATG >NODE_367_length_248_cov_0.880000 GGTTTGGCGAGAACCCGTTTCTGGCCATGCAGGCAAGCCAGCTTTGCCTGGTCGATAATA TGCTCAACCGGATCGAGCAGGAGATCTTGGAACGCCAGCTCGATGATGAGCCACCACGCG GCCGGATCGCGCAGCTCTCCGCCCTAACGCCTATGTGGATCTATGCCGCCTATGAACTGC TGCGCACTTGGCGTCAGCGATGCGAGGAGGTCATCAAGCTCGCTGAGAATGGCGGGATCA ACCTGAAG >NODE_368_length_248_cov_0.880000 ATAGTCAGCCGCGCGCGTCGCTCGCTCCTGTCGGAGCAGAGAAATAGCTTGGTTGGTAAG ACTTTCGCTCGCCTGTTCAGCCGGCGTATTTCTACGGCTCTGGGCCGAAATGCGGTCGGC GGTGGCTTTCGCCAGTTCCTCGTTCAGTGTTTCGAGATCGGTATCGGCAAGGGATCGTTC GTGGGTGCCCGCTGCATTGCTCCCTCCCGCCACTCCGGGAAGGTTCACGATTCCCTGCTC ACCCGCGT >NODE_369_length_248_cov_0.880000 GTACAAACACCGCGACGAAGTGCGCCACCCCGGTCGCCATTTGCCCGGATCGATCGGCAT TGGCACGAAACTGGCCGGCCAAAAAATCCGCCTGCCGGTCAAAATCGAGGTATTTCTTCT GTAGCTCCCCGCGGAAAAGGGCAAGCGCGTCAGCGGCATGCCCATCCCCGTCCATAGCGA TCATTCGCTGCTGCGCCTTTTGATATGAGTCCCAATCCTTCTCCATGGCATCGACCATCG GCCTGAGT >NODE_370_length_248_cov_0.880000 TGGTTGCGGTGACGACGATGTCATCGCCATCGGGCGTGGTTTGGGGCGCAGGAGCCGGGG GAGGAGTGGTTTGCGACAGGGCGGGCGTGGCAGAAAGCATCGCCAAAGCCGACGCTGCAA GCAATTCGAACTTCTTCATGATGGCATCCCCTTGATGGTCAGCCCCAATCTCATGTCGGG TGCTGGTTTTCGAATGTACGGTTTGTGAAATAGCGTGTCGTTGAATCGCCCGTCAATGAC ATAATAAT >NODE_371_length_248_cov_0.880000 CCTATGAGCTACGCCCTTCGCGATGGTCTTGCCTATTGTATCCCTGGCGATCGGACCGTC TTTCTCGACATTCCTGCGGGGCGATATTTTTGACTATCCGAATCGAAGGATCTGGCGCTG CAGCGATGGCTCGATGCGCAAGCATTGGACGAGGAAGATTTCGCGCATCTCGCCGCACTG CTGCGCCAAGGGGTCTTAGTTGCCGCGCCCCGCGATCCGATAGGTCCGCGTAGGCGCCAG CCATTGAT >NODE_372_length_248_cov_0.880000 GTATTCGGCCACGATCTGGGCGATCTCCACATGGCTCAGCGCATGGGGCACAGGGGCGTC GACCTTGCCTTGGTGCGTGTAGGCCTGCACGCGGGCTGCGATGGCCGATGGTGCGACGGG CTGGGCGCCGCCCGTGAGGGCCGGGTGCGTGACGCGACCCACATGCCAGATCTGCGCGAC GATCTTGGAGCCGGCTTCGTGCACGGCCTGGGTGATGCGCTTCCAGCCTTCGACCTGCTC GTCCGAGT >NODE_373_length_248_cov_0.742857 CGCCCGGATCCTCTGCCAAACGACCCAGCAACGAATGTCGCAGCAATACGGCGTAAAGCT CGCCGGTCATCGCCGTACGAAAGCCCGTTACGCGCCCGGCGTCCAGCATCGCCCATTTGC TGTGCGGTCCGGGCAGCACGACCACCCCGTCACGCACGCCCGCACCCAGAATCTGCGTTT CCTCTCCGCGCATCACGTCGCCCAGTCGAACCGGCTGATCGACCGAGAGCCCGGGCACGA TGTGGCAC >NODE_374_length_247_cov_1.764368 GCGCTCGTCCACGGCCGTTAGGCGACCGGTGACGCCTTTGTCCTGACGATCCTCCGTACA GACCGACGCCTTCGCGTCCTCGATATGGTGACCCCGCCGAGCCGGGAATCGGGAGGCGGC GCGATCGGATCGGGTACCGGCCTTGCCTATATCCGCGCCCGCATCAGCGAAGCGTTCGGT GGCAGGACGACAGTGACGACCATCACGATCGTGGTGCGCCACCTGCTCCCACCCATCGGT CCGGTCG >NODE_375_length_247_cov_0.925287 TCTATGGCGTGCGCTTTGCCGGCAAGGCTGCGCACGCCATAGATCTGGCTCGACAGGCGA AAGCCCTTCACGGCGCTGGCATCCTGATCGACGAGATAGGCGAAGCCGCTGACTGTGCCG ATGCCGGTCGCATAGCCAAGTACCGCGAAGAGGTTGTTGCCGCCGATGTAGCGCGGCCGC GCGCCCGTCCCGTTGCTACCGTTCACGGTCTGCACGTTCCAGCTATAGGCGAGGTCCGCG GTGAGTC >NODE_376_length_247_cov_0.885057 GTTAAATCAGGCTCCGGAGCGGAACCTGCACGTCACCCGCGGCGGCAAGGTTGACGACCG CGCGCCTGCCAACTAGCCGTCGGCCAACCGCCATGTCCGCGCCCCGGTTGACGGTAAGAA CACCTTCTACAATTTTATCCGAGAGAAAGAGGGCAGTAAAGCTGTCGCCCTCCAAGTCGC CGCGCAATATCAGCCTCAAGCTGTCGTCGATGCGTCCAGCGACCTGGATGTTGAAATCGT ACTGGTC >NODE_377_length_247_cov_0.885057 GCCGATTTCCGCTCCGTCGAATCCCCCGCTGACCTGGAAATTGCCTTCGAGGAACTCGGG AAACCCTTGATGCTAAAGGCGAGACGCGGCGGGTACGATGGGCGTGGAAATACCCTCCTC GACAGCGTCGAAGCGGCCAGGGATTCATTCGGGGACCTGTCAGGCCTTATCGCCGAGGAA CTGATCGATTTCGACCGAGAACTCAGTCTCATGGGCGTTCGCGGGCAGACAGGGGCCGAT ACGTATC >NODE_378_length_247_cov_0.885057 GTACATGCCAGATCCTGAATTAGTAACTGCATCCAATCTCCGAAAAAGTCCCAATTGTTT CGAACTTTCGATTTTTGGAATGGGATATTTACGGAATCCCCATGAACAGGATCAAACCTT ATTCCATGGTATTTCCATGAGATTCCTCCTTCTTATTCTTAAGAAAGCCCCCGAGAGGGC TTAGTTGATCCATGATTTATGTTTCATCTTTCTTTTCCTTTTCGTTTGTTTCGAGAAAGA TATCGAT >NODE_379_length_247_cov_0.885057 CTGTCAGGCCAGACCGGACTGGCTCTGGAGCCCAAGGCGGCCCAATCGCCTGTGCCGATC TGGTTGGCTGGCGATGACGAGGCCGGCATTGAAAAGGCGGCCAGACAAGGTTGGGGCCTG ATGGCCGCAGCCACGCATACAGCGGCACGCATTGACCGGGCCACACGCATCTACACCGAG ATCGCCGGCCGCGCCCCGCAGCTCATGCTAGCCCGTTTCGCCTGCCCAGCCGCCACGCGC GATGAGG >NODE_380_length_247_cov_0.885057 GGGCTCGACCGAGGCAGCAAAAACGAGGGAATCGTGCGCGCCATGATTACGCTCGGGAAA AGCCTTGATCTGGCGATCACCGCCGAGGGCATTGAGGAGATGAGCCAGTGGGCGCATCTG TCGGAATGGGGATGCGATTTTGGCCAAGGCTATCTGTTTGGGAAGGGCATGCCGGCCGGA AAGGCGAAGGCCCTGATCTCCACCGGCGCGCGCGGGCTGAAAGGTGCTCCACGGTCCCCG CTTCGCG >NODE_381_length_247_cov_0.885057 GCGCTGGCTGCGAGGCGAAGACGTCTTGCGCGTGGCCCAGGTCAGCGAGGTGAATGAAGC CGAGATGGCCGCCACGTTCGACAAGCTCAAGCAAGTTGCTCCCTGATGCCATGGGATTGG CACGTTCCTGACAAGTCCTGTCGAGCCACTGTCAGCTTTGTCGCTCGTTCAGCGCCTCGC CATGGTCTTCCCCAGGCAAAGCAGCTTGGCACCGTTTGTGCAATGAAGCCTCCATCCCTT CAAGGAG >NODE_382_length_247_cov_0.885057 CCACCGATTACCGATCCCAGCTCGGTGGCATAGGGCATAGCTGTATTTTCAAGCAAGCTT CCAAGCCCGACTGCAATGAGTGCACCAACAACGATCGATGCGGCGAGGATGACTACAACT TGACCCAAGCTGTCTCGCAACAAGAACCCCTTGGTGGCACCTATTGCACGCAGCGTAGCT ATATCTCCAGCGCGCTGGATAGTCCACACCAGGAAGAATGCCCCGGTTACAAGGGCAGCA ATAATAT >NODE_383_length_247_cov_0.885057 GCAACGCCTTGAAACGCGCCGGACGATTGTATGCGTGAACATCGTGCTCGCGTATATCCA GGACTGCCGGGTCGTTGGCGAGCGAATCCAGGGCGTCCCATTGCTGTTGCAGCCGCTCAA GCTGGGCGTGAGCACCCGGGTTGGAGCGGAGCCAATCCGCGAAAGCTTCCCGTTCTTCCG CCGCCATGTCGCCGGAGCGCTGCGCGCTGAACCAACGCGTCGCCTCGGCACGCAAGCCAT CTTCGAG >NODE_384_length_246_cov_0.890173 CTTATGCGGTCCTGCTTTTTTCGCCGCTTGATTCAAAACCGGAATTTGAAAAGGTTTTAA GCGTGCTTTCGGGAATAAACCCAAAGGATGAAAAAATAAAAAGCGAAAGCTTTTTTATTC CGCGGCCCGAAAAAGTATTGACGCCAAGGCAGGCGGCGCTTTGCGAAAGCGAGGAAATCC CGCTTGAAAAAAGCCTTGACAGGATATGCGCCGCCGCAAAGGTAAAATGCCCTCCCGGAA TACCCG >NODE_385_length_246_cov_0.890173 TTGCAGTACAGCGAGCACCACTTGGTAGACGACAAACAGCGCGACTGCAAACATCGCCAG TATTGTCAGCAGAACTTCAACTTCCACACCCACCTCCACAATCTCTAATCGGCCTTGTTG AAGGCCCTGTCAATCTTCTTCAACCGATGCTTGGCCTCAGGATTCTGCTTGAGCCAAGAC AGGGCTTGATTCAGGGCTTCCTGCAGTGGTGCGGGAAGGTGAAGCTTAGTGTTGACGGTA CCGGCT >NODE_386_length_246_cov_0.890173 GGTTTTGGTGCCCGCCTGAATGGCGCGGACATACTCGTCCTCCACATCCAGCGTCGGCAG AAGATCACCCTTGCTGGGATGGTAGACGCTCAGAAACAGATCGGCCATGTCCTGCGCGGT GAACTCCGGCATACAATAATGATAAGCGCCGCGTTTCAGCCCATGGTGTTTCAGCGCCGC CCAATTTTCATCAAATTCGCTGTCTTTTTGATGGACGGCATGCCCCGATGCGCCAAGATA CAGTTG >NODE_387_length_246_cov_0.890173 GCCCTTGGACTACCATCTCGTGCGTCGATTGAAGGCGGATCGGCCAAGCCTGACCATCGT TCTCAACGGCGGCTTGCCGGATGCGGAGACGGCGCTGGAAGAGATGCGCGGGTTGGACGG GGTGATGCTCGGCCGGGCCGCCTATCACACGCCGGAGACGCTTGGCCGGGTGGACCGCTT CTTCTATGGCGAGGGCGAGGACGTGGACGCGGAGGCCGCCATCGCCTGCTATCGCCCCTA TATGGC >NODE_388_length_246_cov_0.890173 GTACTGTGATGCACCAGCTCTTTTCCCGCAACGAATACGAAGTGCCCCAGGGAGCGGGTT CGGGATTCGTCTGGAGCGAGAAGGGCTATATCGTTACCAACTTTCACGTAGTCCATAACG CCGACTCGCTGAGCGTCGTCCTGGCGGATCAGTCGACGCACGAAGCCAGAGTGGTGGGTG TGGATCCGGACCACGACCTGGCTGTCCTCCAGATCCAGCTGCCGAGAGAGAAGTTGCCCG CCATCC >NODE_389_length_246_cov_0.890173 GAACGAAGACCACCATCCCGTTTGGACAGGATCAAGCCGCCGACCGCTCAGCCGGCTGGC GTGGGCCGGTGTTTGTTGTTACCACCTCCGCCAAGAGTTTTGGCAGCCGCGAGGACGAAT ACGCCATTGATACCGACGATGGCCGGTTGATCATGACCACGCTGACCAAAGGTGGCCGAA TAGGCAAGGTGGAGATAACGCGAGTGTACGATCGCGTCAAACCTTAACGCACGCTCACTG CGGCGG >NODE_390_length_246_cov_0.890173 GGCTTGGCGCGCTGCCGCAGGCCGCTTTGTTGGTGATCGTCGTGATCGGGCTGTTATCCA TGGGCGCGCGGTGGGCGTTTGTGTCTGTACTGCTTGGCGTGTTGGTCGCGTTCGGCGGAT ACCGGGCGGTGATGATCTCATTGGAACCGCACGCGCGCACGCGGAGCTATTTCGGCGTTT ATACCGTTCATAACGCGGCGACCCAGCGGCAATTGGCACACGGCACTACGGTCCACGGTG TCCAGT >NODE_391_length_246_cov_0.884393 GGTATGCTCGCCGACCTCGGGTGGAAGTGTCGGCGGAGCAAACGGACTTTCCGACATGCG CAACGGGCTGCGCACGGAGCGGAAGGTGCCGATCCTTTCGGAAGGAACCGAAACGACAGT GTCCCGAAGGATTGCAACATCGCTAGCGAACGCCTGGCCGACAGTGCGAAGCTCGCCAGC CGGGACTCCGACGGCGCGAAGTTCGGCGAGAAGCTCATGCAGTTTACGATCGCGCAACTT GTCCTC >NODE_392_length_245_cov_1.343023 GTACTGGGTCGGATCAGCGACTATCCGCTGATCCCCGGCGTTACGGGTTTCGGCCTGTTC GACCGGGTGGTGGTCGATACGCTCGCCACCTGGAACGAGCCGGAACCCTTTTTCCGGGGG ATGGTGGTCGAAAGCGGCTACCGTCTGGCGCTGGTGCCCGTCGATCGCCCGGCACGCGCT GCGGGTACGTCGAAGAACGATGTCGCCGCGCTCGCCTCCTTTGCCCTGTCCGGGCTGGCC GGATC >NODE_393_length_245_cov_0.895349 ATCTTGCGCACCGGCTTTGCGCGCGGCGGCGATGACTTGCGGATAGACGGCGTCCTTCAC GTCGAGGTTGAGGACGATCCGATCCTTCGCGAGTTCCAGCATCTCGTCGAGCGTCAGCAC GGCCTGATCAGTCATTGCCGCCGCCGGGCCGCCTTCGCCCTGACGCAGGTGCAATAGCTT GATCTGGGCCAAAGTGAGATCGGCGACCTTGCCGCTGCCGTCGGTGGTACGGTCGACACT GTCGT >NODE_394_length_245_cov_0.895349 CGCCTAACCTCCGAGATCCAGGCCATGCGCGGCGAGCTTGCGCGTATTGAGTCGGCACGA AAGCAGGGGGCAGATGGTCCGATGGATATTGGCGTTGGTGCTTTACCTGAAGCCGCTGCC AGTTATGTAAGAGCGGTAAGAGAAGTTAAATACCAGGAGGCGCTGCTCCAAAGCATGCTG CGCCAGATGGAGATGGCAAGGCTCGATGAAGCAAAGGAGGGCAACGCCATTCAACAGGTT GATGT >NODE_395_length_245_cov_0.802326 AGCAGGAACAGCGCCAATTGCCCACCGGCATGAAGCTGGGCCGCGCGAATCGGGCCCCAG TCGGTGGTGTCCGCCGGGTCGTAAAGGCCGAGCAATGCCCGGCCGTCGATCCGCGGCGTT GCGAATTGAGAGGTGCTGTGGGTGCTCACGCCACCGACACTACCGCAAGCAGCGTTAGCG GATCGTTATAGCCGCCCGACTTTTTTGCGGGCCGTTACGCCGCCAGATCGTAGGGCTTGA TATCG >NODE_396_length_245_cov_0.784884 TCCGAGCCGTCCTCCTTAAGCAATTGAACATCGTCACAAGCATTGCTCATCGCAATGGAA TAACCTCTCGCATGCATAATTGCTGCCCAAGCGGCTGCTGGCTCCGACTGCGAAAACGTC CTCACGAAGCTTACGGCCATCGATCAATCTCCTGTTTTAGTTGTTTGCCGCCGCAGCAGC GGCGTCTTGCCAGTCCTTTAGATCGAGCCCATCGAGCGAATCGGAGTTTAGCAGTTCTTT CGCAC >NODE_397_length_245_cov_0.697674 CCTATATCCCGACATTGGTGGTGTATGAGCCGCAGCAGACTCGCCGGTTCGAACCCGACG AGCAACGCGCGCTGACGCCGCCCGAGGCGGCGTTCGAAGCAAGCCATGCGGCGCAATCGT CCAAGCCGGTCGCGGCTTATGATGCGAAGCGCTGGGCGATCATGCAGGACAATGTCCGGC GGCTGAAAGCGGCAGGGGTGCGTATCGGCGTCGGCACCGATGCCGGGATCGAGGGTGTGT ATCAC >NODE_398_length_244_cov_1.204678 GACTGCGTAGCCTGAGGACAGGCGGATTGATCGATGGCGACCGACAGTACACATCGGCAG CGCCGCGGCGGTTGCCGCTGGCCTCATAGCTGTCCGCGAGCGGCATTACCCGGTTCCGAC ATCTCTATGCGCATTTGCCATCACAGGACGCGCCGCCCATTTCTGGTCACCGTGGCGGAA GTGCAATGCAACCTCCAGCGCGTCTTGTGATGGCCCCAGCCTTTTGAGCCGCTGGGATGG GCTG >NODE_399_length_244_cov_1.011696 ATCCATGCTGTGCAGTTACCAGCATGCGCGGTATTTGCTGAACATCCCGAAGAACTGTTC GAAGCCTTCATCGTCCATCTTGCGAATGTCCATGCGGGATCGATTGCTGACCTGAAGTGC AGCGATCAAGGGATGATCGCTTACCGGGATACCACAGACGATTTCGGCCATCTGTTCTGC ATCAGCCCGATATCCCATCCAATCGTTGCCATGGACGGTTGGCGATGGCATGGCGGTATT AAAG >NODE_400_length_244_cov_0.935673 GGCAATGGGCGCAAACGGCGCGTTGTGATGTAACTGGTCGCATTTTCCGGTGGTGAAACG ATGTGGCGATGCCGCCATGAGCATCCGGAAGCGGCGTACCAACGCCGACTTTCCGACGCC GGACACCCCCGAAAGCAAAATCCCTTCTGCTGTGCCGCTGCCGCAAACCCGCGCCAGCGC GTCTGCGAGGGCAGCGCTCTCGGCGATACGGCCGAACAAACGGCGTGTGAACGTGGTATC CGAC >NODE_401_length_244_cov_0.900585 TGATTATACAAAGCAAAAGGCCCTGCATTGCTGCAAGGCCTTCGAAACTGAACTTTAAAA GAAAACCTGTTTTAAAACCAACTGCCTACAAATTTTTCGTTTACCGGCTCGCCTTTTAGT TTGCGCCTGCGGCGGGCCACATCAAACCGGTGCATGATCATGGTGGCTATTATCAGCGGA ATGAACAAGAGCGTAAGCGGCGGAATGCCGAGGAACGAAATCCATTTGCCGCCATACATA CGGC >NODE_402_length_244_cov_0.900585 GGCCATGCTCGAATTTCCACCCGAAGCTGTGGGAGACAACTCGCGAGCCAACGTGTGGCT GGCGAGGTTAGCGCACTTCGTGAGCGCTGCCTGACTCCAGGAGGGGCCGGCCGTCTTGCG TTCTACAGCGCGGGCCCCTCCGACCACGGGGACGCGGGGGGCTACTTTGCGGGAAGGAGA AAGTGAGCTACCCCGCCCCCCACCCCTCGAGGAGGAAACATTGAGAATGGCCATCGGCTA CCGC >NODE_403_length_244_cov_0.900585 GGATATCCGTGGTAATTCTAGGGCTAATACATGCACGCAAAGCCGACTTCTGGAAGGCTT GTATTTATTAGGTAAAAACCAACGGTGCGTCAGCTCAAGGGCAGGCGCACGATGGTGATC CATAATAACTGCGCGAATCGTATGGTCTTGCACCGACGATGAATCATTCAAATTTCTGCC CTATCAACTTTGGACGGTAAGATAGAGGCTTACCGTGGTCGTCACGGGTAGCGGAGGATT AGGG >NODE_404_length_244_cov_0.900585 GTGCTGACGCCAGAGCGCAGAAGCTGAGCCCCCGCATCGGATTGGCGCGTAGATTAGAAT AATTGAAAACTGCTTTACTTTCAGCAGGTTAGCTGCTTGCGCCCAAACTGGCAACGGAAA CGGCGATCGTCAAGGGCACAATTCCGTCGCGCCCCAACGATCCCGCCGCCCTCAGCGGGC GAGCTCGCGCAATCCGAGCCGGATCAGGGTCTTGGCCTCGGCCCCCTCGCCCGCGTTCTT GAGG >NODE_405_length_244_cov_0.900585 GTTCAAACGCCAGAAACTCTCCGATTTCTTCGACCAGGCCCCGGTGACGAAAGCCGGGGT CTCGATTTCGGTCGGGCGGTGAAATGGGGCGTCTACGCCTTTTTCGATTATGATGGCGAG CCGATCTATGTCGGCCAGACGCGCGAAACCGTGGGCGGGCGGATCGGGCGGCATTTGACC AACTAGCGGACCGATGCGGTGGCGATGTCGGTGCTCGATCCATTCGAAGTGCGCACGATC AAGG >NODE_406_length_244_cov_0.900585 GTTCACCATGTCCTTGGTGCAGCGATAGAGGTGCATCGCGACGCCGGTCTGCGCGCGCGC GCCATCGCCTGCCACCATCATGGTAGTGAGCGAATCGAGCCAGTCGGCATCCACGCCGTC GAGTGGCCCCCAGCGCAAGCGATTGGGCGCGAGCGGGGCGTCCGATGGGGCTGCGGTGAA CAACGGCGCGCCGTCATAGCGCGTGAACGCCGGATGCGCGGCGGACGGCCGCAAGCGATA GAGC >NODE_407_length_244_cov_0.900585 GCCTTCCGGGAATGGCACTTCACCGGCCAAACAGTTGATCACGAAATTCCGGAGGAGACC TGCCGCCTTTGTGACAAGGAGGGGCTTCGATACCATTTCGAGATTCGGAACGACCAAACG GGTCATCGCCTCGACGTCGGTTCCGAGTGCATCCTCAAATTCCAGGTCGCTGTCTTCGAC GAGGGCCGCGAGCTCGAACCGGACGAGGCGCGTAAAGCCCTTGCCGAACGGATGCGGCAG ATGC >NODE_408_length_244_cov_0.900585 GCTTAGGTCTCACCACAAGGGCCGTTGATTGAGGTCTACTGGCGAGGCTCCGGCGCGGAT TGCCGCAGCGATGGAGGTGCCGTCCAGCGCGGCTTGTCGGATCGCTTCGGCACGGGCCCG AGCGCCCCTGGTGTCATTGAGCGGTGAGCCCGGAAAATCCGTGATGCCTCACGGTGCGAG AACGAGTTTTACAGGCGGCAGCCCTGCAAACCCATGGCTGGAAAAACGACGACCAGCCCG CCGG >NODE_409_length_244_cov_0.900585 TGCGGCACGGTCGCCTGATCGTCCTGACGCGGCATGTGGTGCGCGCCATGCGCCATCGGC GCGGCGATTGGCATTTCATGGCACGACTGCCCATGCGCTATCGCCGGGATGGCAAAGGCT GCCAGCAGCAGCGCAAGGATCAGGCGGGCGAACATCGCGGAAACCCTAGGCCGCGCGTCG CCCGCCGACAAGATTAGACGTTGAAGCGGAAATTCAGCACGTCGCCGTCATGGACGACAT ACTC >NODE_410_length_244_cov_0.894737 TTCCTGTACCTTGGATTTGCCTCCCCTGTCATGCGACGAGCGTGAGATCGATCGGAGCAG TCTCTTGAGCAGTAGGCAGGATACTTTCCAGACCTGTAAACGGCTTCGAACTCTGTCATG CACATTTCGCATGTCTTCTTGATGATCGGGTGTTTTCTGGTTTGCGGTGGGGCGCACGCC TTTGAGCAATACTTCCTCCCCATCGACGGGAAGAGATTCCCGTCGAAGGGGAGGAAGTAT TGCT >NODE_411_length_243_cov_0.905882 GTCGATACCCGGATCGTCTGCGCCACGCATCAGGACGTCGATGCGATGGTTGCCTCCGGC AGCTTTCGCGAAGACCTTTATTACCGTCTCGCCGAAATCGTCGTTCGCATCCCGTCGTTG GCGGAACGTAGCGGTGACGCGGTGTTGCTGGCGCAGCATTTCCTGAAGAGCTACGCCAAA TCGATGCACGCCGCCGTTACCGGCCTGTCACCCGATGCCCGTGCCGCGATTGCCGCTTGG GGC >NODE_412_length_243_cov_0.905882 CTCTCACCTTCCTCCAGGAAGGTTGACAGAGTCAGGTTGTACTGTGGTGAAATAGCTAGC GCAACGGCAAACACACCCTCTCGTCTAGGGGGCGCTGAAAAACGAGATAGAAAAATGATA TGGGGTTGACCACCAGCTTGCAAGCATAATGTCATTTTTTGAATCGCAGCATGAGTGGTT CGAATCCCTCCGGTACAGCCCAGAATCTCTCACCTTCCTCCAGGAAGGTTGACAGAGTCA GGT >NODE_413_length_243_cov_0.905882 CTCGCCGATTGGGCGGGGCGGCGGCAGTCAGGGCTCGAGCGCTTCGGCCTGGCCGGACAG GCCGGTATCGGCGTCTTGCTCGGGCTGGTGTGGAGCCCCTGCGTCGGGCCAACCCTGGGT GCCGCGACGGTGCTCGCCGCGCAAGGCCAGAATCTGACGGAGGTCGCGCTGGTAATGGCC GCCTTCGGGTCCGGGATTGCGACAATGCTGCTGCTGATCGCGACCGCAACGCGCGGTTTC CTG >NODE_414_length_243_cov_0.905882 CTTGAAATACTTGACCTCACCCACTACTCCGAAGCAGTTGGTGAGGTCAAGTATTTCAAG CTTGCTGGGTTTCCCGGGAAAACAACCGAACTTGCTTCAGACAGTCGATCCGAGCGCATG GATGACTCGCCGTCACGCTAGCCAGCAGCAGTCCGATTCCCCAAGCCCTTGGCAAGTTGT AGAAAAGATCGGCCTTCGTCTGTTGACGACATCAGAGGAGAAACCATACGGCGGTGTCAA GGT >NODE_415_length_243_cov_0.905882 GTTCTTGCTCGTGCGCAGCGTGATCGACAACAGGTTGTCGTACCTGCCCTCGCGACCGAA GTTCTTCACGACTGTGTTCTTCCACGAGATCGCTGTCTGCCCGAGGAAGCTGCGCATGCT CGTTCCCGGTTCCTGCCACCTGGCGCGGACTGCGCGGCGCTGCGACATGATGGCGGGGTC CAGCTGCCTGCGTGTGAGTGCCGCCGGATGGCCGAGCTGGTCGTGGCGGACCATCTGCAG GGC >NODE_416_length_243_cov_0.905882 GATCCAATCCGGTACTAGCGCAATCGCACTCCCGGTGCGCCGAGACGCGAATGTTATCGG TGCGGTCAACATCGTTTTCTTTTCTTCGGTGCTGACGCCGGCGGTCGCGGCAGCTCGATT TCTGCAGCCGTTGCGCGACTGCGTCGAGCGGCTCGAAGCGAGAATCGGTTTCCTCAACTG ACTGTTCACCAGACGAACAGTCGGGAAGTTCGGCTTGGGGCAACCAGTCGCCCGGGATTA GAT >NODE_417_length_243_cov_0.905882 TCCCTGACCAATGCGTGAGCTCCTTATCCCAAACCAATCTCCCTCCAAACCCAACTCCTC TCCAGCTCGTCTACTCATCACTCTCTGTCTCCTCTCAAAATCTCCTTAAAGCTCAATCAA TGGTGAAGTCCATCCGAGACTCCTCCACAGGTAATAAAAACCGCACAAACGCCGCGAACA ACTGTCTCGAATTTATCCACAGTTCACAGTACCGGATCTCTAACACCGCCAAATACGCTC TCC >NODE_418_length_243_cov_0.870588 CCCCACACCGCATCCGGGGCCCGCAGAGCGTCGCGGTCGCTGCCCGCGCCGACCACGAAA TTGCCGTCCAGCATGTTCACCCAAAGCCGCACACCCAGCGATCGCGCGCGTGCCGAAACC GTCGTGAGCATCGACAGTGGCAGGCGATCCGGCACTTCGATGCCAACAGGCTTCACGCTG CCCGCCATCTGCGCGGTGATGATATCGGCGATGGCGGGCAGCGTGAAGCCTGTTGGCATC GAA >NODE_419_length_242_cov_0.911243 TCCTAAGCCCCGGTCGGAGCGCGGCTGGACCGATAGGCGCAATCAGTTGTTGAAAACCGC CACAATGGGTCTAGCGCCCGACCGGGGCTTAGGATCACGTCGCCGCAGTTGTTGAAAACC GCCACAATGGGTCTAGCGCCCGCGAATGGGTTGTGCTGATCTAGCGGGGAACTTGCGGGG GCGTCTTCATGATCGTGTCGGTTAAGCGGCTGGCGGTACGGCTGGGTATGGCCGGCCTCG TC >NODE_420_length_242_cov_0.911243 TTGATCTCCGCCGCAGGCGGATGCGTGCGGCTGAACCCGAAGGCTCACGCTCGCGGAGAA GCCGTACGCAACCTCCTGCCAAGCGTGGACTTGTTCTAAGAGCAACGGTAATCCGCGCCC CAACGGATACAGCTGGATACCCGTCTATGCACCGCCAAATGAGACGGCGCGCACTAGCCT CCATGTGGCCCCCCCCACTGTCTTGGATAATAGCAATCATCGCCTCGCTCGGGAACCCGG GA >NODE_421_length_242_cov_0.911243 CGATGTCGGACACGGTCAGCATCGCGACATCTTGAAGACCTTCCCCGACATGGTGGAATC CTCCGCCATGATCGAGGCGATCATCGAGGCGGCGTCACAAGGGGCGATGGCAGGATTGCA TCGCTACGTTGATATGAGCGCCCTGATGATCCGCGATATGAACCAGGCGAGGCTGGCGCC GCCACGAGATAGGTCGGCAGGAGGTCGTCCCGCCTCGTCTCCGAAACAGGCAGCGCCAGC CT >NODE_422_length_242_cov_0.911243 GCAGAAATAAATTGACTGAAAAGTAAGAAGTTGCTTCAGAAATTGCGCTGTGTTTTAGCA TTAGAAGGGAAGATAGCATTTGAAGTAGTGATACTTTAATGGATGGTTCAACTATCTGTG TTTCCAGCAGCCATCCAGCACATTTAACTGAAAGGACTGGAACTGGAAAAGGAGCTGGTT TGTTGCCACTAAAATAAATGAAGGTGCCAGTTGCCTTTTAGCCAGTAGTAGTGATCCTAC TT >NODE_423_length_242_cov_0.911243 TCCTCGACGTCTCGAAGTATTTATCTTTATCTTCGGCCTTAACCGCGCCCATGACGGCGA TCCCTTCAGCAGGAGGAGTAGGAGAGCGCGCGATCCCGTTGGGATAGGCGTGGCGCCGAC CGGGAATTATTCATCGCGCCCGGCCCGATAGGAGCTTGAGTTGCTGCACCCGCGTCCGGG GCGGGGGCGGGCACAGGAGCCGGCCCGGTTCCGCCTGAAGGCGGTGCAACCATCGACTGA CC >NODE_424_length_241_cov_1.779762 CCGAGCGCCAAGTCCGGTGTTCGTCGTTTGATTGCGAGCGCTGGTGCCGGTCTGGTTTCG CAGCGTGGTGTCGCGTTGATGGTAGGGGCCGGCGATCGCCGTCCCCGCTGCCAGCTTATT TCTTGCGGAGTTCGACGATGTCGTGGACCGCGGGAGTGCCATCGGCGACGCTCACATGCG CGAAATGGTCATCGAAGATATGATCGATCTTGACGTGCCCGACGGCCACGCGACGGAAGC C >NODE_425_length_241_cov_0.916667 GGCATAGATCGGTTCAAGCAGGGCCGAGTCCATCAGGAATTGGCCCTGCTTGAACCGATC TATGCCTGCGCGGCATTGGCGACGGCCATCCGCCTGCATCGACTGCATCGCCAAGACCAA CATCCTGGGCTTGCCCTGCTGTCTTTCTGGTTCGTCGTCACCCCGCTGGCACTGCTGGTA CCCATCGATTGGCTAGAAAACAGTGGGGGCATGGATCGCTTGGGTGCACCATGGCCGTGG T >NODE_426_length_241_cov_0.916667 GTCAACCGCCGAGGCGCGCCGGATGCGTCGTAAAGTTGTTGCTCAAACGCAATAGTCGGT CCGGAACCGTCCTAATTTTGGATGAACTATCCGCTCTGCGTGAACTTTATGTTGCATTGC GAAACGGTCTATGGCGTCATCCGATTCGGAGCAGATGAGGCGAACTCGATTCCGGCAATA AAATGTCGCGTTAGAGCGTTCAGCATCACAAGGATTCCACATACATAGATACCGAATGCG G >NODE_427_length_241_cov_0.916667 GTTCTGAAACGGGCCACCATGTTGCTGTCTCAGCGGCCGAGCAGCACGCGCGCCTGTCCC GCAATCTGCGCCAGCATCGCGGCATTGGGGGCGGGAGCCATGCGCGCGCGATCGACCACC GCTTTGAACTGGCCGACGCGGCCGGCATTTTCGGCGAGCCACGTTTCAACCAGCGTCTGC GGGTCCGCACCGGGTGCCGCAGCGCCGCGCCCCAGAAATTCCAGCCGCAATTGCTGGAAG T >NODE_428_length_241_cov_0.916667 GCCATAGGCCCGTCTTCTTCGTCTCCCCATGACCGAACTGCCAAGGCTGGATGTATTGCG GGCGCGGAAGCTCTGGGAGCAGGCGATTCAGTACGCCTACCGGGTTCTCGATAGCCAGGC GTTCCACTTTCTTCTCCCACATACGCCGCACAAACTCAGCCGCGTCAATTCTCGCCTGCG TTCCGGCGTAGTGACGATTATCGCTCACCCGCCATGCACTGCGCTGGCCGTGAGCGGTAA T >NODE_429_length_241_cov_0.904762 GGCAAACACATAGACGTGCCACAGTTGGACGGCACCGCTGACGGTGAGTATGCCGAGCGC CAGGGCCAGACTGCCCATCGTTGCCTGTGTGACGAGCAGCAACGTGCGCTGGTCGAGGTG ATCGGCAGCCGAGCCGGTCCAGGGGAGCAAAAGGAACTGCGGCGCGAACAGGAGCGCCAT CACGATGCCGACTGCGGCGGCGCTGTGATGCGTGAGGATGGTCAGCACCAGCCAGTCCTG T >NODE_430_length_240_cov_1.383234 GGCTGACGCTCAGCGACTCGTAGCAACAAGGCTACTTGACCGCTTACACGACCCGCTTGG TCACATCAGTCGTCTGCAGAGGATTCATCCCCGCGCGAGGTGACATTGCAATCCGCCAGC CGGCTCCCAAGGGCTTCTCCCTGGGGGCCGTCGCCAGCCTGCTGAGGTACAGGGCCCGGA GGCCTATTCGTATCCAACTACGACGTGCGGGGCAACATCGCCGCGTTCCGGCACGGATTC >NODE_431_length_240_cov_0.922156 GTGTCGGCAAGGCCCGCAATCGGGCGGATAACATGGCGGATAGCCGCCATTACGAGCGCC GAGGTCCCGGCGATGCCCAGCAGGACAATCAGGATCAACGCGACCATTGCCACGATCCCT ACGATCTTGCCGGAATCGGACGCTTGCTTGGCATTTGCCGTAATCGCGTCCGACGCCTTC CCCATCGAAACCTCAAGAGTGCGGAACTGATCGAAAAATCCCGGAAGATCCGCCCGGGCC >NODE_432_length_240_cov_0.922156 GGATGCGGGTTATGGGATGCGGGTTCCGGGTTACGGGATGCGGGTTGGATTACGGTTACG GATGGGTTAGTGATGCTATCATGCATTCCACTAACATCATTTTCATCCACCCTACCCCTC ACACCTTCTTCCTTACCCCTTTCTCCTTCTACCTCTTTCTCTACAATATCAAATTGATTT AGAGGATTTTGGTTCTCCTCTTCTTCTTCGGGAAATACGAGAGAGCCATCTCCCTTTAAT >NODE_433_length_240_cov_0.922156 GAGCCGGGAAGTTTCCTTGAATTCGACCACCATGTGCCCTTCAGTGACGGCACAGGCCCA CTCGAACGAGCGTTGCTGAAACCCGACGGCACCCAATCTGGCGGTAAGCAGTCATCGGTA CGCCCAATTTCCGATCAAGATTTCAATCGTATTATCGAACGCGGGCTGTCAGACGGGACT GGCTTCCTTCCGCGAACTGGCGATGTTTCAATCGACGAAATATCAAACCGAGTTCTGGAT >NODE_434_length_240_cov_0.922156 GTTATTAACTCTGTTATTCTCCCTGATAGAAATGGGAAACTAGATGATGTTGTTCTTGGA TTCGATTCAGTTGATGGCTACAAGAACGATACAACCTACTTTGGAGCCGTTGTTGGACGA GTTGCTAACAGAATCGGAGGAGCCAAATTTACTTTGAATGGCACCACATATAATTTAGTT GCCAATGAAGGAAAGAACATACTCCATGGTGGTCCCAAAGGATATGGTGATGTTATATGG >NODE_435_length_240_cov_0.922156 GTCGTAGCGCTCCTTGAGACGGTCCATCGCGGCGTTCGCCTCTCGAAAGGGAGGCCACGA CCCCACGCTGTCCGGGAGGAACTGCGCGCGGGAGGGCTCGAGCGTCCAGCCGATCTCCTC GGCCGTCTGGACCGCCGCTCGGCGCAGCACCTCCGCGTAGAGCTCGTAGGAGCCGGACAT GATCTGCGCCTGGATCTCGAAGAACCGGTCGAGGAACGGCCGCTCCTCGATCGTCAGGCC >NODE_436_length_240_cov_0.922156 GTTGGGCAAGGTCGCTTTGCAACCTGCGCGGCAAGCGATCGATATGGTCGATCACCAGCG TACCGGCGAGAGCGGCGGCGAGCCGTTCCGCGATCGTCGCGCTGTCGGCGGTCTCCGCGT GGAGCGTAACCAGCGGCCCGTCAGCGCGTCCCGATCCTCGATGGATCAGCCGCGCGATCA CGGTCTTGCCGGTGCCGGAGGCCCCGCTGACCAGGACCGGAGCTTCGGTCGGCGCGACAC >NODE_437_length_240_cov_0.922156 GCGGGGTTTGCCGGGGGCGGGCGCAATTGCCATGCCGTGGCGATAGGCGGTGGCCAGCGT AATCCGCGCATCGGCCTGGTCGCGCACGGCCTCGCTCGCATTCTTGAGCAAATTGAGCAC CACTTGCAGCGTCGCGTCGCGGTCGATCTGGACCGGCGGCAGCGACGGATCGAAGCGTTC CTCGATCACCACATGCCGCCCGAAACCGGCGAGCGCGACGCGCCGGGCATGATCCAGCAG >NODE_438_length_240_cov_0.910180 GGTCACCCGGACCGGGCGCGTCGCTGGCGACAAGCCCCGCCGCCGAGAACGCCGCCGCGA TTGCCGCCGCGCTCCCGCCACGCAGCACATAGCCGCTAGGAATTTCGCCCCGGAAACCCG CCGCGCGCGCGGCCAACCCAGCCAGCCCGACACCATCGAGCCCGAACGCCGGGTCGCGCC CGTGCAAGCGGAAACGCGCGCCGATCGCACCGCGCGCCGCCGCAATGGCGCGTTCGGCCG >NODE_439_length_240_cov_0.784431 GTGATGAACATGACCCCCTTCGCTGAGCCCGGCTTCTGCCTGACCAGCACGATCCCGGCG AGATTGATGCAACGGCCGTCCTTTACGGTCTGTAACTCTGCGCAAGTGATCATCTTGCGC GCCCGCAGCTCGTCGCGCAGGAAGGCGAGAGGGTGGGCGCGCAGCGACAGGCCTGAGGCA CGATAGTCTTCCACCACCTCCGCACCCACGCCCAAACGCGCGCGGGAGTTAGGGGGGGGG >NODE_440_length_239_cov_0.927711 GTTACCTGGTGAATGACGCCTGTGTATTGCTGCAAAAGCCATTGGTGTATGGTGCTGTTT CCCGGTATGAGGGACAGGTGGCAGTATTCAACCACAGTGTAAGTGCCGGCGACATAGCAG TTAATTACAGGGACTTATTCCCCCACCCGCCACAGGAAGGGGAAGTGGCCAACTGTGCAG AGGCCGGGGTGCTGGGCGTATTGCCCGGAATCATTGGCAGCTTGCAGGCAGCACAAGCC >NODE_441_length_239_cov_0.927711 CTCCGGAATCGAACCCTGATTCCCCGTTACCCGTTACAACCATGGTAGGCGCAGAACCTA CCATCGACAGTTGATAAGGCAGACATTTGAAAGATGCGTCGCCGGTGCGAGACCGTGCGA TCAGCAAAAAGTTATTCAGAGTCACCAACGATTGCGACGACGCGCGCCGAAGCGACGCGA CGCCGATTGGTTTTGATCTAATAAAAGCGCTCCTTCCGTCTCCGGTCAGAGCTCTGTTT >NODE_442_length_239_cov_0.927711 CGCGGGCAACGTCTTTGATAACCGCTTTACTGGTCATGCGGTTGAACGTGATGATTTGCG CGACGCGATCTGCACCATACTTTTCGCCGACGTATTTGATTACTTCTTCGCGGCGTTCGA TGCAAAAGTCAGTATCGATATCGGGCATCGACTTTCTTTCTGGGTTCAAGAATCGCTCGA AGAGCAGGTTGTATTTGATCGGGTCGATGTTTGTGATGCCCAGAGCGTATGCAACAAGG >NODE_443_length_239_cov_0.927711 GCCCAGATCAGGCGACCGCTCACGCCATCATAGCCGAGCTTGGGGGTGAAGTTGGACCGT GATGCCTGGCTGCTTTTGGCCAGCGTGACTCGCGCCGCCGCATCCCCGGCAAAGGTCACC AGGATCGCATCGACGGGCCCGCCCAGCCGGGCTTGTCCATCGCGCACCACCCGCGCCAGA TCGACCAGCGGCGTGGCCCGCCCGGTACGCGCCACCACCGGAGCCTGCGGGTACAGGAT >NODE_444_length_239_cov_0.921687 TATCGTGTTCGGGGAGTGCGACCGGTGAGCAGCGCACGTCTCGCCACCGCGCATCGCATG ATCGCGCTGTACAACGCGCAGGATGCGGACGGCTACGTCGCGGAAATGACCGGCGATGCG TGCGAGGCAATGTACCGCGGTGCCGTGGTACGCGACGGGCAGGAGGGTGTTCGCGCAGGG CTGAAGGCGATGTTCACGCAATATCCCGAGAACCGTGCCGAAGTGCTGTCGTCCTATGT >NODE_445_length_238_cov_1.800000 TCTCAACCCCGATTTCTTCCCCAATGCCTGCGCCAGCATCGTCGTCGCGCCCGCAAGGGC GAGCTTGGCGCAGGTATAAGAGAAGAAATCGGGGTTGAGATTGGCGATCTTCTGGTCGAG CAAATTGACCACCGCTCCCTCCGTCAGATCCTGCTGCTCCGCCAGGGCGTTGGCCAGCAG CACCGGGGCCTCGAGATTGACGGCATAATGGCCGGGCGTTGCTGCGCGACCATTATGC >NODE_446_length_238_cov_1.393939 GGTGCAGCCTATTCGGGGGTGAAGGTGGCTGTCGCAAAAAAGCGGGAGGTCGAAGGCCTA TTGCTCGAGGGCTTTGGCGCCAAGCGGGTAACCGCACAGACGGGCGTCAGCAACACCACC GTCGGCCGTATCCGCAATCGCCTGGTCAAGCGCCTGGCGCTCAAGGGCGAGTGCCTTCCC GGATGTGACCTCGCTGGTCGGCGTATCGGTGCCGCCAAGGCATCCACCAACTATATCC >NODE_447_length_238_cov_0.933333 GTTTGATTCTGGCCCCACTCCCGTCTGCTCCGGTGTAGACAGTGGGCGCAGGGAATGAAA TTTCTACTTCCACGTCTACAAGGTCATACTCCTTGCCCATCTGGGATTCGACATGAACAT TAAAGGTGTCAGTCATTGAGGTATCGCTCCGTCGATCATTGTGATTGATGATTATTCAGC AACGCTGAAAGCCTTTACAAGCGCCTCATAGAGCGTCTTTGTGGGAACCCTCTGAGAC >NODE_448_length_238_cov_0.933333 GCCCGGCTCAGGCCAGCGTCGGTTCTGGCAGGGGGACCAAAGCTTAGGGAACGTGGCTCC TCCGGGAGTGTTATAGCCCTTTGCTCAATACCCTTGCCGGGACCGAGGTTCGCGCTCTGC AAGGACGCTGGCATAATGGTCATCAGCCACCCGTCTTGAAACACGGACCAAGGAGTCGAG GTTTTGCGCGAGTGTTTGGGTGTAAAACCCGCACGCGTAATGAAAGTGAACGTAGGTG >NODE_449_length_238_cov_0.933333 CCCTGAACGGGGTTGTCGAGGTAGTAGGTGAAGTTGGAGAACAAGTCCAGATGCGAGCGG ATCAGGTAAGCATTGGCATGCCATTCGCCATCATCCTGCACCTTGAGCCAGTCCCACGAG AGGCTGGTGCGATAGGTCTCACCATGGTCGCTCGGGTCGATCGCGCCGAAGCGCCCGATC AAGCCTGCGTCGATGGCGCGCTGAGGCACCTGGTCGGTGCTGTTCCACTTGGCCGTGT >NODE_450_length_238_cov_0.793939 CAGCAGGAAGGCGTCGCCTTCACGCAGGGGCTCGGACGGCTGGTGGGACCACCTCGAACC CGAAGACATCGAGCACACCATGCACCAGGCCGAAGACCCCCAGCAGTGGCTCGACCACAT GGCCGCGCTGGTGGCCAGCCGCCAGAGACCCCCCCAGGCCAACGACACTGCGGTGACCTC GCCCGGGTTACCGACCCAGACAGCCACCGCAGTGTAGTTGTCCTGGTTGGGTATCTGG >NODE_451_length_238_cov_0.757576 CGATCACATAGATTTGCGTTATATCTGAGTTGCCGTCCACACGCTCCATTCTAGGATATA AAAGGTTTTGACGCGTGTATTCAAGTCCGGCTTCGTACTACTCGTTTACGGGATTTACAG AGAATTCCCGTAAACGAGTAGTACGAAACCGGACTTGAATACACGCGGCAATCCCTTTTA TATACTAGAATGGACCATGTGGACGGCAACACAGAGATAACGCTGTATCGTAAACACA >NODE_452_length_237_cov_2.347561 TAGTATGGCGTCACGAAGCCGAAAGCTGGATCAAGCGCGACGATGGGCGCGCTGCCGCCG ACTGGCCCCGCCGCTGTCGCGACCGCGTTTTGCTCGACGGATACCACGAGCGGCGTTGGA CCAGTGGCTGACTGCTTCAACCCGTAAACGTGCCAGCCCTCCCGGATCGAGCCCCGAACG GTAAGAATTGCGCGGCTGGCAGCGCTGGGCGCTACGACGGGATCAAGGCTCCATGAC >NODE_453_length_237_cov_1.548780 GAATTAGTCGGCGGAAGGTGAGACAAGGGGCAGGCTGAAGTCGTAGATGTCGAGCATGGA CTCGTCTCACCTTCCGCCGACTAATTCCCCGCGTACCAACACAGCCAGAGGCCACGGGGT TTCTGGCTTCCTGCCTGCCAAACACGTACCAGAGAATTACGTAACCTATTGATTTCGCTG CTGTGAGCAGGGTTCTTGTAATCAGTAGGTTACGTAATTCTCTGGTACGTGTTTGGC >NODE_454_length_237_cov_0.939024 TAATTATTCGGAAACTCTTCGTGAATCTGCGCGGTCAGATCTCCATCCGACATCGCCTTC AAGTGGCGCGAAAGCGTATCGACCACAGCATGCTGCGCGATATCCTCCGCCGCCTTGGCG TGGTCGGCGGCAGCCTTGGCCACCGCCACGTCGCGGAAGGTGCCGAGTGCACGTGCCATG TCGCCCAATTCGTCGGACCGGGCGAGGCCGGGAATGTCCGACGCGGTGTCCCCCGCC >NODE_455_length_237_cov_0.939024 TCCGACGCCATCGAGCGCGCCCTTGCGCATGGTGATAGCGACAAGGTGCGCGCGGCTTAT CATCGCGGGGCCCACTGGAAAGAACGCGTGGAGATGGCCCAATGGTGGTCGGATTACCTC GACGACCTGCGCAAACAGGATAGCAAATCCAGGGCAGCGGCCTTTGGGACGATCGACATC GTCGTCCTCGACGTGTCCGAATCCGCCGCTTCAGGGCCCAAAGTCGTTGCCTAAGGT >NODE_456_length_237_cov_0.939024 CCCCTATGGCCAGACCGGCTTGCCGCTTTCCCTGCTGGTGCAAGGCGAGGACGCGAACAC CTTGTTCGACGTCAGCCAGCCGGTGAACGGCGCTGGTGCCGACATCAAGGGTATCGAGGT AGCAGTCCAGCACGACTTCACCTTTCTGCCCGGCGCGCTCAAAAATCTTGGCGCTGTGGT CAACGGAACGTGGTTCGACGGGCATCAGACCGCCTATTACAACAACGTGCCGAAGGT >NODE_457_length_237_cov_0.939024 CTTCTGAACGTGCGTAATGACCGACTGAAGAATCGGCATGCATTCTTTGTTCAGAACAAC TCGCGCCTCGTCATTCTTCAAGGCCATCGCGAGCTCCACCACCTTTACCGCCACCGGGTA ATACTGCTTTTCGAGATCAGCCAATTGGTCAATCAACTGACGTTCGGCTTCAGGAGCTGC CGATTCGGCCAACAATCTTTTCAATTCCGCGAGGCCGTCATTGATGTCCTTTTGCGT >NODE_458_length_237_cov_0.939024 TGCCTTGACTGAGCTGTTCGCTGGGTGCCAGATCCACCAAAGCCAGAAGGCGGCGCTCCC CCGGGGTATTGCGGCCCAAATCCTCCAGATCTTCCAGCAATTGGTTTCGGTTGAGCAGTC CCGAAACCGGATCGACACGACCGATCGCGTGCTGCAGCTCGATTTGCGACATCACCATGT CGGCAAGATCGGTCAAAGCCGCCATCTCTGCCTCGGAAACGGTGCGCGGCTCGTGAC >NODE_459_length_237_cov_0.939024 GGCCTGGGCCTGAACCTGGTGAAGGAAATCATGCAGCTTCACAACGGAGCCATCGAGATC GGCAATGGCCCCCTCAAGGGCGCCTGCTTCACGATGCGCTTTTCCAGCGCTGCGGCTTGA TGCCGGAAGGTCTATGGCCGCTAGAAAAAGGTCTTGAACACGTCCTGGACGTTATAATCC GCGTCGACGAGATACATGATGTCCCATTTGTCGAACGTCGTGCACGGATGTGAAATC >NODE_460_length_237_cov_0.939024 CTCATGCAGTGGCAGGAAAGTCAATACGCTACTGAGACTGAGAAATTGCGGGCGGCACGC GGAGCGGTTCGCAATCTCGAGCTGAAACTAGAAGCGGCCAAACGGGATAAGGCTGCCACA CAGCGCCAAGTGTCCCAGCGCGAGCGAGAGATTGGTGAGCGCATCGCCGAGTTCGCCAAG GCCTTCGGCGCGAATGGCCGCTATATGCCGTTGGAGGAGAAGCGTCCCTTCCAGATG >NODE_461_length_236_cov_1.417178 TCGCCGCGAAGATGACCTCCGGCGCGGTCGAGATGCTCAGCTAGGGCAGGAAATGGTGAT CGGTGAGCCAGAAGCTGTGGAACCCGAGCCGATCGGCGAGCACGGCGGCTTCCACGGTGC CCTTCAGGGCCTGATGAGGACTGTCGCGGGTCCAGGGCTGCGGTTGGGGAACCTCGTAGA AGATGGCGAAGTCCACGTCAGATCCCTGCGGGGTCGATCCGTGCGATGGCAGCGAC >NODE_462_length_236_cov_0.944785 GGTCCCGCTCAATATCCGCGTGAAGGACCCGATCTGGCCTGGCCGCGACATGGTCGACCT GTCGGTCAGCGTCCCCGCTGGCACGCCGCGCACACTGTGGCTCGATCTGCGCGACCGCGT GCTCTCGAATGACAGCCTCTATCTCAGCATCGCCTCGGCGCTGCCCGGCTTCGATGCCGC TGCGCTCAACGGTGCGAAGATCCGATTAGTGTTCAAGGATCGCGCCGCCGCTTTGC >NODE_463_length_236_cov_0.944785 GTGGTAATATTTATGTAAATGCTTTCTACAACAAGTTTAATGGCTTGATTAATAATGCAC CTGTAACATTAGATGCAACAAGTGTAATGGCCAATATTAGTCAACAATTCAAATTCAAAA AGGGTTGGAGTGCAGAGCTAAGTGGTTTTGCCAGAACAAGAGCTTTAGAAAGTATTTTTA ATATCGGGGCATTTGGTGTGATGAATGTGGGGGTTGGTAAGCAGGTAATGCATAAT >NODE_464_length_236_cov_0.944785 GCCGCCGGGGTCGGCGCGGTGTCGGCGGGGGTGTCCTTCAGATAGCGGTCGAGAAAGGGC TTCATCGTGTTGCGGCGGAATTGCAGCCCGGTATCGCCCTCGAACTGCAATGCGCCAAGA CTGGTGCCATCATAATTGACGCCGCTATGCCGCCACGGCCCGATCACCAGCGAAATCGGC GCATTCGGGTCCTTGTCCTTCAGCGCCTTGAATACTGCAGGCGCGCCATAGCTGTC >NODE_465_length_236_cov_0.944785 GTACTGGAATCGCGGGTTATCGCGCATGAACGGCTGCCGATGCTGGAGGTGGTGTGCGAC CGTGTGGTGCGCGCCTTTTCCAGCTCGATGCGCAATCTGACCTCTGACGCGATCGAGGTC AGTCTGGAGGAGGTTACTTCGACGCGCTTTGGCGAGTTCGTAGGGCGCGTTGCATTGCCT GCCATGATTGGTGTCTTCCACATTCACGAATGGGAGAATTACGGGCTCGTCACGGT >NODE_466_length_236_cov_0.932515 TCCTTAACCAGGGGCTTGAGGTCACCGCGCAAGTGCTGAACGAACGCGCGCTAATCGCGG CGAAATCCGAGCGGGATTTCGTTTTGCACCTTGTCGAACAGCAGCGGGTTCAGCGCGATT CCGCCGAGGTTATGCACCTGACGGCGGAAGCGGTCGGCCAATATCTGGGCGTTGACCGGG CGGGCTTCTTCGATGTGACCCCGGATCACGTCGTCGAATATGGGCCGAGTTGGGTT >NODE_467_length_236_cov_0.932515 TGCTGACGCCGCAGGACCGCGCGCCGTGGCGTCCGCATGTGACCGTGCAGAACAAGGTCG ACCCGCCCGTCGCCAAGGCCTTGCAGGCCGAATTGTCGCGCGATTTCCGTCCGCGGCCCG TTCGAATCGCGGGGTTGGCGGCATGGTGGTATCGTGGTGGCCCGTGGGAAATGCTGTCGC GCCATATGTTCGCTTGACCGCTTCGCTGTGCATTCCTATAGCCCGCGCCTCGCGAG >NODE_468_length_236_cov_0.889571 GGGGCGCAACTCAGAGATAAAGCATATCTTTGTGCTCGCGTGCCGATCTAAGAAGAGACG GCGACATAACGTACGACATATTGTGACTTGGTCAACCCGTACGCCTGCTTCGTAATCCGA CGGTCCTTTGAAGAGGCTGGCGAAGCAGGCGTACGGGTTTACCATGTCACAAAATGTAGT CCGTTTTGTCGCCGTCTCTTCGTTTATTGGCAAGCGAGCACATAGATATGCGTTAT >NODE_469_length_236_cov_0.858896 GGACAAGCAGCAGCGTCGCGTCGAGGCGGCCGTCTATGCCGGATCGACACGCCGTGCCTA TCTCAAGGGCATCGGGCTGGCGCGCGGGTGCAAGGTTCCTGCGGCACCGACCGCCGCAGC CGTGGCGGACCGGCCGGAACTGCCCTGATTTGTCTGCGGACTGACTGAGCCGCGCAAAAA AAGGGCCGGGGTGCGAACCCCGGCCCTTTTCTCTTGGTCCAGCCTGGGCCGGGAGG >NODE_470_length_235_cov_0.950617 ATGTTATCCAGTGAGGAGAAATAGGTGTTCTGCTTACCGTTATCCGTTGTCTGAATACGG GGAGTTCTGGCTATCGGTGCCAGCATCTGCGCCACACCACCGAGCACCATACTGGCACCG AGAGAAAACAGGATGCCGGTCATACCACCGGCCCCAATGGCTGCCCCCCATGCTGCAAGG GTGGCTCCGGCGGTAAAGAATGATCCGGCAATGGCGGCAGCCCCCAGGACAATCT >NODE_471_length_235_cov_0.950617 TTGTCACGCTTTGCGGCCGATCAATTATTTGCATTTTATTGTGCTCGCTCAATAACGCTG AATAAGCGCTACCAGGGGCGCTACCAGAAGCCCCGAGGCCTGAATGAATGTCCGGAACGA GCGAGCACCCCGGTCTTCCCCAACCGAGATGAGATCGTTGGCGTACACTTCGGGATCGGG GTAAATGCCTTGGCGAATAGCCCGGACGTCATAAAGCGCGACCATCTGCTTATCG >NODE_472_length_235_cov_0.950617 TACCATAATACCTTCCTACTCGTTGAGATTTCAAATTGCATACGCTTTACGCGCAACAAT GATTTTATCTCAACGGCATTGTATCGGCAAACGACTTGAGCGCCATCCATTTTAAGGGCT AATTGCTTCGGCAGGTGAGTTGTTACACACTCCTTAGCGGATGACAACTTCCATGTCCAC CGTCCTGCTGTCTTCAGCAATCAACACCTTTCATGGTATCGATGATGAGTCGTTT >NODE_473_length_235_cov_0.950617 TCTCCGTACCCTCCACCCGTCCAGATCAGCCGATGGCCGAAGGGAGATTTTCGCGGCTGT GGCGTCGAACCGACTGTTCTGCGCGGGCATGCTTGTAGCTCTCGAGCACCGCTCGCATGT CGGCGACGGCATGCTCGCGAGCCCTTGTGTCGTTGATTTGCGCGAGCTCTCGTTTCAGCT TGGTCGCGAAATCGGCATAGCTGTTCTGCCAGTCGGGTCCGATCACGTCCTGAAG >NODE_474_length_235_cov_0.950617 TTTGCAGCATTGGCTTTTGCTTGGATCTGCCTGACTTTCGCATCGGTTAAAGAGAGGTAA GAACAGCCCATCACTATTCCTAGTGAGTATTGAGATGGCCCAAAATTACGCCCGGAGACA TGAGCGAGCGCGTAGAGATCGATAACGTCATACAAAAAAGTCGGTTCCGGATGACCTTTT TTATGGCAGTTAGCGGTCGCCTCCGAGCGTTCGGTGACGTCAGCAAGCACTCGTT >NODE_475_length_235_cov_0.950617 GATCCGAACAGACGATTGAAGAGCTTCCGGAGTAGCCGGTCTTTCGATTCGTTCGGAAAC CGACGTTTCTTTGATCGCTCTCCCCCTACCACTCGTATGGATCCCTGGGTGAGTCTCTTC TCGGGCGGCAAAGACTCTTCGTGGGCGCTGTATCGAGCCCTAGAGCGGGGGGCTCCGGTC GAACGGCTGGTGACCGTTCATCCGACAGGTGACTCGTTCATGTACCATGTGCCAG >NODE_476_length_235_cov_0.950617 GGCATGTGCATCAACTGCGTCACGCCAGCATACTGCGTTCGTGTGGGTTCATTTCCGTAT ACAGGTCTGGCAGAAAGCGCGCCAGGTGGTTCATTTCCTCGCCGCAGTGCTGCAGCAGGT CGAGCGCCATGCGGTCGCTGACCATCAGGCGCCGCACCAGCCTGCTGTTGAGCACACCAT GCAGAGCTTGGTCGACCAGGGCATGGTGATGCCGGATCTCGCCCAGCCAGAAGGC >NODE_477_length_235_cov_0.950617 GTCTGGGTCATTGTGGAAAATGGTGTAGGTGGCATGGCTTGCCGCACGCACGCCACTCGC CTTGCGCCAATCGATGAAGCGGCGGATCGTCTCTCCCAGCCGTTCAGGTGCCCCCTTATG CGTCAGGAACGCCACGGGAATGTCGGCTTCCTCCCGCACCATCACATCATCGATCGAAAA ATTCTGCGTCATCATCAGGCTCCGTGCTTCGGCCAGTGGCACCATTGCCGCTGCC >NODE_478_length_235_cov_0.950617 TCCCAATACACCAGTCAGGCCATTCATCTACTAGACCACCTCTCTTCCTCAACGACCTCT GTAGAATCATGGATGTGCTGAGAGGCCTCGAACTCAGCCTCCTCACGATTCCGAGAAACA ATACCAAGCTCCTCCAGGAAAGAAATAGAAGACCTCACAGTATTCCTATCCAGGCCCAAC TCCCTAGCAATATTCCTGCAGTAATTCTCCTCCTCCTGGGCCAATACTCCTATGT >NODE_479_length_235_cov_0.944444 CTGTTGCTGCGATCGCCATTTCGGCATGCACCCGAAGACCGAAACGACGACGACCGACAA CACGATGGTCACCGATCTGAACTCGACCGACACGATGACCACCAACGACACGATGACGTC GACCGACGGCGCGATGGCAAACGACGGTGCGATGGTTTCGAACGACACCATGACCACCAA CACCACGTCGACCACGACCACGAACAAGATGTAATTCTTCCCTTTCGGGAAAGAT >NODE_480_length_235_cov_0.944444 GGATAAGGGCACCGTCCTCGCCCAGCCCGTCGAACAAGCCGTCCACCGCCGTGCCATCGG CGAGACGCGCGGTCAGCGCGGTACCTGGGCGGTGCGCCCGTTCGATCCAGCGCGCCCGGA CGGGCGCAAGCCCCTGCCCTCGCCACAGGCCGAGCCAGCGAGCATACGACTCGGCCAGGG TTTGGGCGAAGTCGGCCGGGTCAACGCCCGCGCCCCGCGCCGCGAGGCTGGTGGC >NODE_481_length_235_cov_0.932099 TCACGGTCCGAGGCAAACGGCGCGCTGCGGTAGAGCCGGTCCACCGCCAGATCGAGCGCA TGGTGCGCGCGGCGCAGATCGCCCGGCATGGTATCGGGATCATAAAGATCGGCGAGGCTG GCGGTCGGGTGCGCGAGGCGCGCATCGAGCACCGCTTGCGCAAGCTGCTCGATTTTCGCG CGCTGTGCGGGCGTGGCGTCGGGCCAGGGGAAGGTGTTGTAGACGAGGCCGATTG >NODE_482_length_234_cov_0.956522 GTGCCGAGCGGGCCATTGCCCGATCTCGTGATACTGGCGATGAAGCCGCAGCAATTGGAC GACGTCGCGGGGCGCTTTGCGGAGCGCTTGCGGGGCGTGCCGGCGTTGATCTCGATTTTG GCGGGCGTGGAAGAGCAAGCGTTGGCCGAGCGGTTTCAGGCCCGGGCGATCGTTCGGGCG ATGCCCAATCTGCCGGTCGGGATCGGCACTACTGCTGTCGAGCGCCACCACGCC >NODE_483_length_234_cov_0.956522 GGGAAAGGCAGCTCCGCTGGCCACGCCCAGACTGAAGCGTCCCTTGGAAAGCAAGTCCAG CGTGGCCACGTTCTCGGCCAGCGCAATGGGGTCGTGCAGGGCTGGCATGCAGGTCATCGC GCCGATGCGCGACTTGTTGGTCACCGCGGCCATGTAGCCCAGCATGGCCATGACGGCCCC TTGTGGCCATAGGCTGTCGTAGTGGTGTTCGCCAAGCCAGATGTCGTCATAGCC >NODE_484_length_234_cov_0.956522 GATTACCTCTATTTGTGTGGTCCGTTCTAGTGACAGCATTCCTACTTTTATTATCACTTC CGGTACTGGCAGGGGCAATTACCATGTTATTAACCGATCGAAACTTTAATACAACCTTTT TTGATCCCGCAGGAGGGGGAGACCCCATTTTATACCAGCATCTCTTTTGGTTCTTCGGTC ATCCAGAGGTGTATATTCTCATTCTGCCTGGATTCGGTATCATAAGTCATATCG >NODE_485_length_234_cov_0.956522 CTCCCTGATGTTGGTGCCGAGCAGGGTGTGCTCCCACGGGACGAACCCCACCGGCAGGGT GGCGGCGAACGCGGCGGCCTGAGCGCCGAAGACCCGGCGCAGCCGGATGGGGACGGCCTT GCCGCGCGATTCCAGGGTGGACACGGCCTGGTCCATGTCGCCGTCGAAGCGGACGGTGGC GGTGACCATCAGCGAGAACCGGACCGACGCCGCGCCGGCGGCGACCTCCTGACG >NODE_486_length_234_cov_0.956522 GCACCAGTGAGCTCATTAGGGTTTGGAGAGTCTTTAGTGAACCAATATGTGAAGCTCATG GCACAGTTCACAGTTGTACCTGGAGACATCTTGGGGACTGAAGAGCCTCTGTGGTGTGCT TGTACTGGTGGATTTGGCCCAAATCCAACCATGTATGACCTTCCTTTAGGGTTTTTCCCC AGCAAGTAATCCATCTGTTGCCTAGCGAAAGCCATGAGGCTGGCTGAGTCAAAT >NODE_487_length_234_cov_0.956522 CATATTGCAGCCGCGCCGCCTCGGCCGAGCGCATGCTGCTGTCGCGCGCGGCATGCGCCT CGTCACGGCGCTGCGCGGCGATCACGCCCTCGGCATAGAGCGTATCGGCGCGCTTGCTGG AAGTGGCGGCAAGGTTCGCGGCAGCCTGAGCCGATTGCCAGATCGCGCGCAGCGACCCGA CATCCTCGCTCCTTGCGCCCGCTTGCGCCACCGCTTGCAACGCCCGCGCCGTAT >NODE_488_length_234_cov_0.950311 TCCTGCGCGGTGATGTTCACCGTCACGAAATTCGAGAAGCGATACTTGCCTGCATAGGAT GCCAGCGTTCTGGCGGGCACCGCCGGCTGCGGCGACATCACCGGCAAGGCCGGCTGCGGC GGCACAGATGCGAGCACCGCGTCCCAGGCCAGTTCGCTGGCGATCGAGCCGATCTCGACG CCGTTGAGCGCGCCCGGCGTGCTCGGATCGGGCGCATCGATTTCGCCGGTGGTG >NODE_489_length_233_cov_1.443750 TTGGCGAGAAGTGGTCAGGTGTGGCGCCCTATATGCGAATCATCCTGGGTGCAGGTGCAG TTCTGGCCGTGACCTTCAGTCATACCCCGGTATTTGCGGCGATTGGGCAACCTCGGGTCA ACCTGCTGGTGTCGACGGTCTCATCGGGTCTTTGGCTGGTATCCCTGCTGTTTTTGCCAA AGCTGGGTGCTTTGTATGCCGCGATTTTGTGGGTTGCCCGAATGGCGTTGGGC >NODE_490_length_233_cov_1.443750 GCGTTGCGGAGGGATTGCCGCCGTTCTTTGCCACGGGCGATGCCAGGGCGATCGCGGCGG TGTGGGATGGACCGGTAGAGCCGATCTCGCACCCGGAAGATACCAACCGCGTGTTCGAGA CTGCGTTGCCGGTGCTGACGGTCGAGGATGGCGGCGAGATCATGCCCGGCATTCCCGATG TCGAGGGTGCACGCTGTGCGCTGCGCGCGCTGGAGCTCGCGGCGGGCCTGGTG >NODE_491_length_233_cov_0.962500 CCTTCGCCCTCGGACTTCAACCATAGCCGGTTTATATCGCCGCCGACCCAAGCTTCGCCG TCCCAGCGATAGCCGTCACGGCCGGCACGCGCCTGAACCTCGGCGAGGTTGAACATCACC TGATAGAGCGTCTGGCCGCCCTGCTCGCGCATCATCGCGGCGCGCGATCGGCTCATGTCA GACGCCGGAAAAAAGCGATCGGCGTAATGATCCATCGGCGGCGGGGGTGCTGG >NODE_492_length_233_cov_0.962500 GCGGTGACCACGATGTCGGCAATGCCGCTGTTATCGGGCGGGGTCGCGGCGGGAGCCGCT GGCGTGTCCTGCGGCGTGGCCGCAGCGGAAGGAACTGGCGCGACCGCTTGCGCCTGCGCG ATCGCCGGGAAACTCACCGCGCAAAATAATGCGAACGGCCGCTTCAGAACCTGCATTCCC ATATTCCTCTCCCCTTGCCTCGTTGGGCAACACCAAGATACGCGCAGCTCATC >NODE_493_length_233_cov_0.962500 GTCCACGATGGCCTGGAAGGGATCGGTCAAATCGGTCGGCATAGCTCCGCGATAGCAGCC GCATTCGCAGGTGGCGAGATGGTCGCGTGGCGATTACACCCTGCGGACATGATCCGGTTG CTCTCGCTTGCCCTTCTCACTTTGCCCGCAGGTGCCATGCCCGATACTCCGCGCACGCCC GAACCGCCCTTGCTCAGCTGGCCCGACTTGACCGGACGGGCACAGCCGAAGCC >NODE_494_length_233_cov_0.962500 GTTGACGCCTGGCCCCTCGGGGCCGGGCGCCGCGCATGATGCCCAAGGCCATTGAAGGTC ACAGGGGCTTTTTGGCACTTCGTGTTTTGCGAAGTGCCTTTTGCTTTTGGCGCTCGGCCT CCTGCTCCGCGGCCACAGCAGCCCACTGCGCGAAGGCTTCGGGCGTTTCCAGCGTGATGC GGCCAATGATGGCGCTGCGGAAGTCGTTGAGCACAATCTCGGCGGCCTTCTGC >NODE_495_length_233_cov_0.962500 GTGGACGATCCGGTCTGCCACCAGGCCTTCGACAAGATCAATGCCGACGAGGCCCGCCAG TTGGGCGTGGGCTTCCACGTGATGGAGATGCAGGGCTACAACAAGACCTTCATCCAGCTG GCCAAGATGGTGCTGCCGCTGCTGGACCCGCGCCTGCTGATCGGCATCCTCATCTACCTG CCGTTGCTCAACAAGATGCGCGACAACATCGTCAAGCTGGGCCTGCCCGAGAG >NODE_496_length_233_cov_0.962500 TTGCAAACCCTTTCGGATTGGCTTGGCAACGGCGCACATGCCGCGCAGGCGAGCGAGCGT GATGCGAACGCGATTGGATCGGACGACACCGTCGCGCTTCTGGTGCATGAACTGAACCAA CCGATGACCGCGATGACCAATTTTCTAGCCGCTGCCCAAATCGCGCTGATGGCGGGTTCT TCGCCCGAGACGATCACCGGGTTCGTAAAGGATGCCAGCGCTCAATCCTTGCG >NODE_497_length_233_cov_0.818750 ATGTAAGGGACGGACTTGCGGCCAATTTCATCAGTTGCATTCTCGAGGGGCCTGGCGGAT CGCTTTGGATGAGCACGAACCGGGGGATCAGCAAGTTCGACCCGGCGCACCGAACATTCA CCAATTAGTCCGTTGCGGACGGGTGGCCTGGAAACGATCTGACAGGTTGGGGCTCGTGCT CGAAGAGTTCCGGCGGCCGGATGTACTTTGCGGGTTACCCGGGAGCTGTGGGT >NODE_498_length_232_cov_1.937107 GCCCGCCCCTTCAGTGCCCGCGCGAGCAGTTTGCGCAAGGGCGCCAGCACCGCGAACAGC GCAGGCGTCAGGATCCAGCATTCCTGCACATCGACGATCGCATGGCTGGCGGGTTCGCTG AACCCCAACCGGACCGCACCGCCCTTGACCTCGGCATGGAGCGCCGCACGCCGCCGCGTG CGGTCGGGGGACAGTGAAGGCGGTCGAAGCGGTGCCGTCAGCCCCTGGGCGG >NODE_499_length_232_cov_0.968553 GTATTACGCGAGCAAGCGCGGGCATCAGGCCGTACTGGTTGAAGAATGCGCGCTGCGTGC CAGGCACGGCTTCGATGTGCGCTGGCTGGACAGCGAGGCGGTCGCAGACGAGTACGGTAT CCGCGCACCGGGCGCGATCCTCAGTGCGCTCGCCGCACGCATCGACCCCTACCGGCTCAC CTACCAGCCGCGCGTGTGCAGCCGCATCAGCAGCCGGTAGGCTCACCTACCG >NODE_500_length_232_cov_0.968553 GCCCGGTGACCGCGATCGTCACCGAGGCGGACATCGATGCCCAACTCGCCGCCCGAAAAG AAGCGCGTGCGGCAAAGAACTTCACCCGATCAGATGAGATTCGCGATGCACTGGCGGCGG TCGGTGTCGAGGTGATGGATGGTGATGCGCTGGCCTGGGACTGGAAATTGGCGGTCTAGC TCCCTCTTTCCTTCTCACACCTCCTCGTTCAAGCTGCACAGCAGACAATGCG >NODE_501_length_232_cov_0.962264 GGTCCGGCCCTCCGGGATCGGCGCCGACTCGCCTGCATGAGCGGGTTCGCCGTCGCAGGG GCTGTCGCCGCCTTCGCGGCTCCGGCGGCGGGCCACGCGGGCGTCATGCCTTCGGCATGT ACGCTGCTGGCGCTGGCGTTTCTGACGGGACTGAGCGGCACCTATGGGCCGGCGGCCGCA CAGGTCGGGACGCTTGTAGCTGTCGTCGCGGTCGTGGCCGTCGGCTTCCCGC >NODE_502_length_232_cov_0.955975 TTATACAATGTAGTAGTTGCAATTGGAGACCCGATTTCAAGGAAAAGAGTTGTAGATAAT TTGCCACCACAAACAACGTATACTTCTATCATTCACCCAAGTGCAGTAATATCTGAATGG GTAGAAATCGGAGAGGGAAGTATAATTACAGCCGGGACTATTCTGACTTGTAATATAAAA ATAGGTAAGCACCCCATTTAAACTTGCATACAACTATTGGACACGATTGTAT >NODE_503_length_232_cov_0.679245 CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCGGCCTCCTCCCCCGCCCCCCGCGCT CTCCTCACGTTTGTTAACGTCGCCACCCCCCCATGGGTAATGGACGATCTGAAATAGGCA CAGCGCATCATGACCCTGTCGGTGTGGAAGATGTATCACAACCCCATGCACCGCAAGACC AGCCACAGCAGCAGAATACGGTGCAGCCGCAGGCCACCGCGCAGCAGGCGGG >NODE_504_length_231_cov_0.974684 TCCGAGCTCTCTGCGCCAGTGGAAGAAATATGCCGGGAATTTTGTCCCGATGTACTTCTT GAAGTCGTTCTGGCTTTGCAGAAGGAATTTAGAGCGCAGTTTTATTTGGCTCAATATATT TTTATGACACGTGTGTTTGACTTGCTGCCCCCGGGCGTAATCAAGATAGTCGATACGCAT GATGTCTTCTCTACTAAAAAGGCCAAGGTGGCTCGTTACGGGGTCGAGGAT >NODE_505_length_231_cov_0.974684 TCTGACGATTGCCCGCCGCGATCATGACGGTCGGCGCTTCCATCCTAACCGCGACGATCT GTATCGTTACCGCCAACGGTTCGCCGAAAAGCTGCGTGGTCGGGGCATCGAAGCGAACGC AACACCGGCGCGCGCGCGGGGCATCGATCCCAAGCATGAGCCCATCGCCGCGATTAAAAT GCGTAGCAAAGGACAGGTGCCCCGGCTCGATAAGTCGCGCGCGTTGCGCGC >NODE_506_length_231_cov_0.974684 GCAAAGGCGCGGTCATAATAGCCCGCACCTTGCGACGTTTCCCGACGCTTGGCGGATCGG GGTTGCGTGGAGCGTGCAACAGGTCGAGTCCTTGCGGACCGAAGCGTGGGACATGCCGCT CCACGCCGTCATCACCGAATGTGGATGGATTCCCCGACCATGACCCCAAGTTGGCGTAAA CCCGTCGGGATGCTGGCGATTCTGGTGTTGATCGGCGTGTGGTGCATCCTG >NODE_507_length_231_cov_0.974684 GCCCAAGCGATGACGCTGACGGCGGCGGATGGAAAGACCGTCTTTGGGCGGTTGTATCGC GCAGAGCATCCCAAGGCGACGATCCTGCTGTTTCATCAGGCGGGATCGAGCAAGGACGAA TATAGGACGATCGCGCCGCGGCTGGTCGCAGCCGGATATAGCGCTTTGGCAATCGATCAG CGCGCCGGTGGCACGCTCTTCGGCCCGAATGAGTCAAGCGCGCAATATCCG >NODE_508_length_231_cov_0.974684 GCGGTGCCGCGGTCAGGCTCGCCGTCGCGCAGGCGATGCTGGTCACGGGCAAGGCCCCCG ATTGCATGCCGCCATCATAGCGCATCATCTTGGCGATGTTCTTGGGGTTGGTGATGATAT AGCCGACGCGCAGGCCCGCCATGCCGAACAGCTTGGAAAAGGTCCGCATCACAATCACAT CGTCATGCTTCACCGCCAGATAGGACGCGACCGGCACGCCCGCGAAGTGGG >NODE_509_length_231_cov_0.974684 GTTATTTACAATGGAAGAAGCAATGGTCTTTTTTATGCAAGGGTCAAAAAGCCTATCCTT TTCAGATGGGAAGAATATGGGATGAGGCCAAAAACATCAAGCTGCTTGTAAAAGCAGGTT CGAAAATAAATTACAACATCCGAATTGCCGGCGATCAGCAGTTTGAAAAAAACAATTTCG CGTATCATGCAGATAGCACTCATTTTTTGGGAAGGCTTACTGCCGCAGAAG >NODE_510_length_231_cov_0.968354 CGCCAGAGCGGCCCGGTGACCAAGACCACCGACCCGAATACCGCCGAAGTCGAATCCTAT ACCGTTACGCTGATCACGGGCGATCGCCACACCGGCACCCGCGCTGCGATCACCAACGCC GCGGGTGGCGGGACGACCTTCACCAAGCCGCTCGACAATACCGGCGTGAAGACGTTCCCC GATTATAACAGCTATGCCAAGCAGTTCGTTTACAACGTAAACATTCCCGGT >NODE_511_length_231_cov_0.962025 GTCTGGACCACCGCGCTCGGTGTGACCTTGGTGCTTGGCGTGATGGTCGCATTTTGCCTC ACGCGTGCGTGCCGATCGGGCACGGAAATTCGCTGGCATTGGGTGATGCTCTGTCTCGCG CTGGTGCTCTGGGACATGGCCTATTGGGCGATAACGTGGTTGCAGGCGCATTACCCTGAT GGCGCTCGGGTTTATTTCGACGAACTGTTCTTTATGCTTCGGCTGATACCG >NODE_512_length_231_cov_0.696203 CCGGTGTACGGGGCAAATTGCTTGAGCATTTTACCCCTACACCGGCTTCGGCATTGTATC CAGAAGCAACATTAAGATCCATATTTACCTGTTCATAGGTAGAGGCAGGTACAATATCTT TAAAAATTACGGGGCGGTATGATTGTGAGATGCCGCCATAGATTGTGTTTTCCTTATCCA ACAAATATTGTGCGCTTACACCCAGAAGCAGAAACTGGTGCGAGATACTGT >NODE_513_length_230_cov_1.847134 AGACAGCATCAGTGCCCAGCGTGCCTATGAGATGAACAGTCGCGTGGTGAAGACGGCTGA TGAAATGCTCTCCACTACGGCGCAGATGCGATGAGCACGCCCCTCGGTCGCGCGGCACTC TTTGCGCTGCTGGCGTCTGCGCCGGCCATCGCCTGGGCGCAGCCGCCCGAGGCGGTCCGG GTCGCAGTGCTCGACCATCCGATCGCGCGCGGCGACGTGCTGGCCCTGGC >NODE_514_length_230_cov_1.789809 TGGCTAGATCGACCGGTTTCGGGTCAAATAGGAAGAACTAGAAGATTCCACCTCTGGAAA GCGCCTACACCTAATGGCTTAAGCCGCTGTTCCCATTTTCTCGCTGACCCATCATGCAAA AGGTACGCCGTTAGAGTGAGTGCGCTTTACTAATAGAATCTCAAGTAAAGGCTCTAAGCT CCGCTCCTTCGACTGATTGTTCGCATCGGATCTCAGGTTCTCTATTGCAC >NODE_515_length_230_cov_1.554140 CGGACCTTGCACTTGCGCGATCGCGGTGGGCCACAGCTCTGCAAGCTCACGAGCGAGCTC GGGGACGGGAGCCGTCAGATCAACAGCCCGCAGCAACCCCTCGATCATTTGCCCCAGCGC GTTCTCGCTGACGGGCGGACCGCGATAGCTGGTGGCGCGCGCGTGCAGGGTCGCTGGGCC GTCTCGCCCGGTGGGCACGCGCCGCGTGAGGCTGCGCGCGATCTGCGCGA >NODE_516_length_230_cov_0.980892 GGATGAACTGGATCGCCCTTCTGGCGGCGCTGTCGGGCGCGATTGCGGTCGGCGCGGGCG CGTTCGGCGCGCATGGGGCAAGCGGTCAGGCGGCCGAGTGGCTGAAGACCGGCGCGCACT ATCAACTGATCCACGCAGTTGTGGCGTTGGTGGCGTGGCGGATGGAGGTGCGCGGCCCGG CGTGGTTGTTCATCGGTGGCGGCGCGATATTCGCCGGAACGCTGTATCTG >NODE_517_length_230_cov_0.980892 GTATGAAGCTGTCGGCATCGCTGGAATAGGGAAACGCCGCCGCATTGGGGCTGATCTCGC CAGCCTTATAAATCGATGCGAACCAGGACACTGGCAGATCGCGGTTGAAGGCGATGTACA CGTTGGTGTCGACGGTCTGCAATCCGGCGACGATGCGTTCCCCGCCAAGTTGGGCCAGGT CCGACGGAAAAAAGTAGCCACCAGTGCGATCGCGTAATCCTGCGCAGGAT >NODE_518_length_230_cov_0.980892 GCGTATGCGCCGGTTGCAAAGAGGTAATCGAGAGCGGCCGCGCCGTCCCGCGCAACCACG ACGTCATTGCCGACGTTGCTCTTCTTGAGCGCGCGCAGGGTCAGTTCCTCGTCCGTGGAA TTGTCCTCGACCAGCAGGATGACGTGCAGCGAGCTCATTTCGGGAGATCCTGCTCGTTCA GTGTGAAATAAAAGGTCGCCCCGCTTCCGACCGCGCCTTCAGCCCAGATG >NODE_519_length_230_cov_0.980892 GCCTGGAATATGACGATCCGCGCGATGAGATCGCAGCGATCAAGGAAATGTATGGGGTGC GGGTTCACGATCCGCGCAGCATGGTTGCGCGCAGCGCGGACTATGACGACACGGCGGCTT TGGTTAGCGAGCTCGATCTTGTGATTGCGCCAACGACAAGCGTCATCGATCTATGCGGCG CGCTTGGGCGGCCGGCTTGGGCGTTCGCGCCGGTCAATCCGCAATGGCGG >NODE_520_length_230_cov_0.980892 CATCGCCAGCAATGCTGGTGGTGCCGTGCGCAGGCGCTGAGCTGACGGTGAGGCTTGAGT GCACACCGCTGACCGAGGCGGTCAGGTCGATCGGGGTGGCGGTGTTATAGCCAACGCTGG CGCTCTTGGCGGCAACGGTTGGGGCGGCAGGTGTCGCGACGGTCAGCGTAACGGTGGCAG CGGCCGAGGTGCCGCCAGGCCCCGTGGCGGTATAGGCGAAGCTATCGCTG >NODE_521_length_230_cov_0.980892 GTGTTTGCTGTGGGCTTGCCCATGCTGGCGATGTAACCATCCCTGGGGCTGGGGCCAGCA TCAAAGTGATAGGCGCAAGCCTCGAAGACTCGGGTACTTTCGGGTTCAAGTTCACGGTTC AGTCTGCCTCAGGCAAGCCTTACAAGACCTATGTCGAGCAGATTGCAGCCAGTCGTGGTC TGCCTGATTTGTGCAATCACTACACGGTCAATGCAGCGACGGGTACGCCC >NODE_522_length_230_cov_0.974522 GTGTAGAGCACGGTGTCGAAATTCACCGCGTCCATGCCGCTCAAGGCCTTACGGTCGAGC CCTTTCAAACGGCGGATATTGTCAAGGGTGCGCGCCTTTTCCGCCGCACGCGCCGCCGGC GAGCTGTCGGAGAGCTTGAAACGGAGGTCGGCGTTCGCCCCTTTGTCGAGACCGAGATTA GTGGCGAATTCCGGGCTGTGGCGCAGGTTCTCCTGGAAGAAGGCCTCCAG >NODE_523_length_230_cov_0.751592 GGATGGATCTTCGCTTGGCAAGGAAAGGTTCCCATCTTAACTGCACTGGACTCCGCAGCA AAGCAAACCGATGCCACGAGCCGCCTGTTCGTAATCGCGGCAGCGTTGGCGGGTTTTGGC CTGTCGTACCTGATTGTGCTGCGTTTTGTCGCGGATCTTCGCGACGAGTTCGGCCCGCAA GTGCGCGGCTGGATTTTACGTTGGTATGGCGGTGGCATCCTGGTGGGCAC >NODE_524_length_229_cov_1.967949 GGACAAGACCACGGGTTGGGGGGCACCGGCCTGCCCGAACGACGCCGAAAGCGCCGCCTG TCGGCGCAGCAAATTCCGCTGAAAATGGTCGGCGGTCTGGTGCAGCAGGGCAGACGCGCT CCACAGCAACGTGATTGCGGCGACCAAAGCGATGCCGACATGCAGCGCGATAAATTGCCC GAGCAGCGAGCGCGGCGCGCGCATTCTCACGCGGCGGCGACCATCATAT >NODE_525_length_229_cov_1.923077 CTAATAGGGAACGTGAGCTGGGTTTAGACCGTCGTGAGACAGGTTAGTTTTACCCTACTG ATGGAGTGTTATCGTAATAGTAATTGAACTTAGTACGAGAGGAACCGTTCATTCAGATAT TTGGTATTTGCGCCTGTCCGATCGGGCAATGGCGCGAAGCTATCATCTGCTGGATTATGG CTGAACGCCTCTAAGTCAGAATCCGTGCTAGAAACGATGATGTTTGTCC >NODE_526_length_229_cov_0.987179 TGCCTCATGCGACCGCGACCAGACCGGTTGCCACGAGTTCTTCCAGCCGCGCGTCCAGGG AACCCTCCTCGGCATCGCCCAGCACATAATCGACCGACAACCGCGCCATCAGATCAGCGC GGGTCATCCCCGCCTCGCCCAATGCCGCGAGGATTTCCGGCACGGGCGACGTCACCAAAT GCGTGATGCCCGACGCGCGGTGGAAAACCGCAGTGAAGCTGTCCAGGTG >NODE_527_length_229_cov_0.987179 TTGTCTGCCAGTATCCGTAAAGACGAATCCAATTTGTTTGGGGTTAATGCCAACCAAAAA GGAGTGCCTTTGTACTCTATGGGTCTGGCATGGGAGTTAAATAAGGAAAAGTTTTATCAT TTTACTGCTTTACCGAATTTAAAATTAAGGCTTACGTATGGCTACAATGGAAATCTGGAC AAAAATCTTTCTGCTTATGTTACCTCAAGTCAATATAATTATCTAAATG >NODE_528_length_229_cov_0.987179 CCTGTCATACCGCAAAACATACTTCTTGTGCAAAATGTATGGCGCTGGTGAGAGAATTGC AATCCTTACCGAGCATCAGGTTCTCGTTCTCTCCGGGACACGAAAATCCAGCCATTTGTC CTCCGTTCGGAGGACAGGTAACGCTGAAACGTTCCAAATGGGCGGAAACCCATGTCGGCG ACAGCACCGTCTGACCGGCTAACAGGCTCATCGACTCCGCCTTCGCAGG >NODE_529_length_229_cov_0.987179 GGTCAGCAGATGTACGGGGTGCGGTTCCACTACCCACGCGAAGAGCGGGCAATGGCGACG TTGCAGGCGCAGGTTGCCCAGGCTCAGGCGGCTAAGGCTATCGAGACGAACATCGCGCAG ACGGCGCTCGATCACGCCGTGATCGAGGGCGCGCGGAACATGAAGTACACGGTGCAGGGG GACTCCTCGCTGCAGCCATCAGAAATCTCCGACAACGGCGAGTTCACGG >NODE_530_length_229_cov_0.987179 GTAAAAGACTTACAGCATTTTAAAGTACTACAAACCTATATTGATGGGATACTTGTTGCA GATAATGGTAAAACCCTTATTTCTTCTGTTCCTGCAAGTATCATTAATACATTTGATTGC CAGCCAATTAGCAGGGATCAATTAGCTATTCATGAAAATGAATACCCGCAAAGCGAAGAA AAAATACCGGTAATTGAGGCTTTAGATGGACAATTAATTACCAATACAT >NODE_531_length_228_cov_0.993548 TTCGTAGACACCCTCGACCAGCGCCGACATCAGCGATGTCTGGTACAATTCGCCGGATTT CGCATCCGCCGCGCGTCCGCCGGCGATCGCAGCCGCCCCGATCATCCCCAGCGCTGAGTC CGTCATCACTGCATCTCCTTGCGGCGTTCGGTTTCAAGGCTTTGGAAAACCGTGCCGATC GAGCGGCTTGCTACAAAGTCGCGCCTTTCCAGGCACTCATACAAAGGT >NODE_532_length_228_cov_0.993548 CTTCGCGAGCAATTTCGATGGCGCACCGGCTGATCGCGTAGGCCTCACTGAGGCGTTCGG GCTTCGCCAGGTGCAGGATGGAAGCGACGATCTCAAAAATTGGTGCGCCGGGAAGGCCAG CACGCGCGTGAGCTCGCTCGAGCTTCACCATATCGACGACCGTCAATTGTTCGCGCCGGT TCGGATTGGACAGCGCGCGAAGGTAGGATGCTTTCCGTCCGGTAGCCT >NODE_533_length_228_cov_0.993548 GACCGCGCCATCGAGGCCACGTATGTCGCAGGCGACTTGTTGGAGCTATCGCAAGTTGCG GTGGCGGACGATATGACTCCGGGTACTTTGGTGTTCGCTGCTCCCCCCTCGTTCGTCTCT CGTGCGGAAGGTGTATTTCATATCTTTGGTATGGGCACAGAGGACCCTACGCCTCTACCG TCGGCGTTGCGGACGCGTCTTCGGCAAGTGGGAGCTAATCGATTGCTT >NODE_534_length_228_cov_0.993548 GGTAAGGAGAGTGCTAGGGAAGTGCCGCGACAAGAGGGTCCACAAGATAATAATTCGAAT ACTATTTTACCATTGAGTGATGCGCTTGAAAAATATCCTGTTTGGTTTCGTGTGTATGAT GAGCCAACCAGACATTCATTAATTAATGAAACGTTTGTTTTTAAAGACGGTAAAGTTCAA AGTTATTATACGGAGAAGATAGACCTACATATTGAAGACGTTATTGAT >NODE_535_length_228_cov_0.987097 CTTCAAGGGAGGACGCGAGTGGCGCGTCGACTCGACGTCGTTTCCGATTTCGAAGACGGA GACGGGTGTGATTCTCGATCTCGAACCAGGCGCCCTGCGCGAGCTGCACTGGCACCCGAC CTCTGACGAGTGGCAGTACGTCATCGACGGAACCATCAGCGTTACCTTGTTCGGTTCTCA CGGCCGGTATCGGACGGAAGAGCTGGAACAGGGGGAGGTGGGCTATAT >NODE_536_length_227_cov_1.733766 TCGATGCACGGCGCAGCATCGCCTTTGTCGTTGGAGCGCATGTGACGCAGCAGGCGCTGG TATCGACCCGTTACACCACCGTCAGCCTGTTGCGGACGATCGAGGCGCTGCTGGGGCTGA AGCCGCCGTCGCACGGTAGCTCCACGGCGTTGCGGCCATGTCGAACACATCCGCCATCGG CAGCGCCAGCGCATCGTTCAGGCCAAGCGGCTTCAGCCCCAGCAGCG >NODE_537_length_227_cov_1.000000 GAATGGAACCGCGACCTGCAGCTGCCCGTTGCGCAGATCAAGGTGGGCATCAATAATAAA CATATAGGGCTTTTGGGTTTGCGTGTAGCTGGGCGATGTTTTATATGCGGCGCCTTTTCA TGTTTGCCCCACGGCAGCTTTGTACGACAGGGCTGTTGCAATAAAAGATAAAAAGATGAA CGCCTATTGGAAAACCGCAGCGCGCGACCGCATCATCAATCACTAAG >NODE_538_length_227_cov_1.000000 GAGCAATAGCTGCCGAGATTATGGCAAAGGCCCATCCGATCTTTGATGTCGAGCTTCATC TCGTCCTGGCTACATGCGAACAGGACAAGGAACGGCGTGGCGAAAGCGGCGATCGCGGCC GGCCCGCCGGCGAGCGCGGCTGCACCAGCACCGAGCGGCACGAGACCGGACACCTTTCCC GCGCAACAATTGATTAAGCCGAATACGGGTTTGTGGCAGGTCTCGCG >NODE_539_length_227_cov_1.000000 GTTCTGTTTGCAGCAAGGCTGCACGAAGCCCCATGAGCATCAGCCCGGCTCCTGCGGCCA GCGCTGCCGCTTGGGTCCCGATAGCGATAGCGACGAACATCGATGCAGCGCAGAACGCGG TCGGCATCAGCATGCCGATCAATCTGGAGTGTCGTATCCGGCATTGCCCCTCCCCAGCGG CCGCGTCGGCGAACAGAAACAGGAAAAACGGGATGGCAAACGTAACG >NODE_540_length_227_cov_1.000000 GACTATCGCTGGGGCGCGAACTCGGTGGCGACGACGCTTGGCGTGCTATGGGCTGGCCAG ATGTGGCGCGACGTCGGCAGCTTCATCCAATCCGAACAAATCAACGTGCCTGCAGCGATC GCCACGCAAGTCTCGGCCGAACGCAAGCTCGCCGCTTTGGGCGAGGCGGTAGATCGATTG AACCGCGACTTTGGCGACTGGCGGGTCGGTTGGGGGAAGATCAATCG >NODE_541_length_227_cov_0.837662 GGACAAGGTCAGGCCCGCCCTCAATCGCCAGTTTGATGAGTTGAATGCACATCGCAAGCG CGCCACCGCCGACGCGGGCGTTTGGAAGCTGCCGGATGGGGCCGCCTACTATGCCTGGGC GTTGAGTGCCGGCACGACCACGCACCTGACTCCCGATGAGATCCATCGCATGGGCCAGGA GCAGTTGCGGGAGCTGCAGGGGCAGATGGACGGCATACTCAAGGGAA >NODE_542_length_227_cov_0.785714 TTCAAGGTCGGGCTGCCGCCCTATACGGACGGGGAACTCATCGAGCTGCTCTATGAGATG CACGGCCTCACACGGCGCAGTCCGACCTTGAACACTTCGAGCAGCTGCAGCCAGGCATCA TTCGACGCACTCCCGGCGGCGGCCCGGCGTAGTTCCAGGTACCGCGTCTGCGCATCGGAG TGGACAGCGAGAAGCAGGTCTTCGGTGCTCGAATAGTGGTACATCAC >NODE_543_length_226_cov_1.006536 CTCATACGCAGCGTCATGCTCTGCTTGAACTTACGATTGAGGTCGCTTAGCGACAAGTCG AGCAGTACACCCTCTTCGATCAAGCGGGCGACCTGGCCGCGGGAAAGGCAAAGCTTACGG GTGAGGATATTGATCAGGCGCACGGGAATGGCCTGTTCAAAGTCGAGGGTGATAGTCACC TGTTCGGTGTCAGTGAGGGCATATGGTGATGGCCCGTGTATCTCAT >NODE_544_length_226_cov_0.973856 GGTCTGTTCGCCGCTATCCCGGCGGTGATTTTCTACAACTACTTCCAGACCCAGATCGCC GGCTACGGCTCTCGGACGGAAGGCTTCATCGCTGAACTGACCAACGCGATCTCTCGTCAG CTCGACAAGGGGGCGTAATAGCGATGGCGGCCAAATTATCAGGCCCCGGAAGCGGATCGA AGTACGTCGTTGACGCAAACCACGAGATCAACGTCACCCCCTTCGT >NODE_545_length_226_cov_0.699346 AAGAAATCGACGTTGCCCAAGTTACACGTTCTTCTTACAATTTGGCAAATATACACTTTC AGTCTCATGTAAGCTGTGCGTGCTTGCATTGTATCCCTTATTTGACAGTCCGGAAAGGTT ACTAAGAGCAGGCCAATCATTGATGGTTACGAAAAGCAACGCTCGTAGGTCAAATTCCTC TTCTTTGTGCTCATCCCACACACGTACACCAGGTCTGCCCCACAAC >NODE_546_length_226_cov_0.568627 CTTTTTAGTGGATGAGATTTCCGACCGTTGGGCGAACCGGGCCTTGATCGACGCAGACGG CGGTAACCCGATGCGCCCGAGGTCGTGTTCGCACATGATGGGCTGCGGGTTACCGCCTTC TGCGTCGATCATGGCCCGGTTCGCCCAGCGGTCGGCTATCGCTTCGACTATAAAGGCCGT TCGGTTGTATTCAGCGGGGATACGGGGCCAAGCGCATCGCTGGTTG >NODE_547_length_225_cov_1.513158 GTGATTTACCATCCGAAAAATCAGAGACCAATTTCAATGACTTTTCGCTGATGATTTTGA AATCACGGCTAGCTTGAGTCATGTTTGCCATCATCACGCCCACTTGGTTTTCATGATTGA TAGCCTTGGTTAATTTGTAGATTTCGTTGATAATGTCGAAAATCTTTTCTGTTTCTTTTC CTCGTTCAGATATTACATTTAAAATATCTGTTGATTTAGCTATAG >NODE_548_length_225_cov_1.013158 TCCTTCGGCTATGGTGGAGGGCGCATCACGCGCCCTCCACGAAACGGATCGTTGCCGAAA CAGCGTTTGACGCTGCCACCCGTTGCGCCGCACTTGGGGGCCACGTAACAGGAGAACCGC AATGCGTCTTACCCATCTCTACGCCGCTACCGCCGCCGTGCTGCTCCTTGGTGCACCCGT CATCGCACAGATGGCACCGCCCGAGATGTTGCACGGTGCAGGCAC >NODE_549_length_225_cov_1.013158 TGGCGACCTTCATCCTTGCCTGCTTCATTGATCACGCGACCGGCCAGCGCTTGCGACCAG GCCAGGGTGATATCGCTGTTGAACAGCGTCAAGGCCTGCAGGGGCGTGGTGGTGACGTCG CGCTTCTGGTGCGGCTGCACTGAGTTGGCAGGGTCAAAGCTCACCGTCAGCGGGTAGGGA ACAGAGCGACGCACGAAGGTGTAGATGCTGCGACGGCGGGCGTCT >NODE_550_length_225_cov_1.013158 TTGTTGACCGTGCTGAGCGTGTTGAGCCCGTTGATGAAGATCGGTGCAGCCGCCCCGAAC GCCCCGGTCAACGTGGCGATACCGGTCGGGCTGAGACAGCCCGGTGCGCTGGGGTTACGC AGAACTGCAGCGGCGTTGATCGTCGCGACCAGACGGCACGCGGCAAACGCCCCATATTGC GAGCCGAATTTGAGGTTGTCGCGAACCGTTAGATCTTCATTGGAG >NODE_551_length_225_cov_1.013158 CGCTTCACCTTCTCCAGAATCGATTCATCCGGTTCGTCGACGATATCTTCGTCTCCCGCA CGGCCTACATAACAACGCATCAGAACTTTGTCCGGCGGGGCGGTATGCATCCACTTGGAA GAAATCCAGGTACAGGCCGTTATGTTCCGGCCTTCTTTCTTGGGAACCACAAACCCGGTA CCATCAAGCGGATACGGAACGTCGGCGGCATGAAACGCCAACAGG >NODE_552_length_225_cov_1.013158 GCGCACGACTCCGCCTTCTACACAGGTTGGTTGTCGTTTGACCCCAGCTTCCAATAGGTC GCGTACCGCTCGTGCGCGATCCGGTAATAGGGGACCAGTCGTAGCGGTTGCTGGTCGGCA GCGGGGATCGTGAACTCAAGAGGCTTGGCGGTGGCACGGATCGTTTGTGGCAGCGTCTCC GGATTCCCCGCGAGCGTCGGCGGTGCGAAAGCCGCGTCGTTATAG >NODE_553_length_225_cov_1.013158 GACACCGACGTTGGTCTATTGAGGTTTCTATTACGGGGTTCGATTCAGATGATGATTACA CCTTCACCTTTCCAAATGAGCCTGGTTTGAATGAGATTGCTTGCAAGAGTGTTTTAGGCA GCCCAGACGAGGTTCGCCTTAGTGCTTCTGGACTGGTACTTCTACGCGATGAGGCTTCTC CAGGAAGAATTTACTTCCGGCCGATTAAATCGGTCGAGGTAATTC >NODE_554_length_225_cov_1.013158 TTGGGCAGCGCGATTGCGCGGTAACCTTGCCGAGGCCCAACGTCTGATTGAGCGGGCTTT CGTCAACGTCGATGGGAACACTTCGACGCTCGACCTGCGCGAGGGCCATCTGGTCGCATA CGACATTTACAAAAAGACCCACAATCAAGCTCAGGCGTTGGTCCATCTGGAAGCTCTGAA AGAAGTCGACGATAAAACCTCCAAGCTCGCCGCGTCTGCCAATAC >NODE_555_length_225_cov_0.921053 TGGGTGGCGTGGCCGCGCGCCCTGATGGCGGCATCGCGTTCGAGTCGCGCGGCCGGGAAT ATGGCGTCGTGCTCGCTGATATGGGCAGCCGCGAACACGACCGCCTCATCGGCTGCTGCC GTGCGCGCGTCGGTGCCCAGACCCGGCATGGCGAGGGCGCGGGCCTCGGCGCCTGCGACC ATCGTGCGGCGCGTCCGCTCGTCGAAGCCGAGCTGGTCCGCCTCG >NODE_556_length_225_cov_0.664474 GGCTTGGGCTAGGCGCGCCGCATGACCTCGACCAAGACCGCCGCCATCATCGTCGCCGCC GGTACCGGCGTCCGCTCGGGCAGCGCCGTTCCAAAGCAATATGCCCGCCTGGGCGGCAAG GCGGTGCTGGCATACAGCTATGCCGCCTTGCGCAACCATCCCGCGATCGACCGCGTCATC GTGGTGATCGGGGCGGACCAGGAGGCACTCCTGCACGATGCGATC >NODE_557_length_225_cov_0.361842 TAGTTAGCCGTCACATTCTGTTAAGATACCGTCAACGCTCTAGTAGTAACATAGCACGTG TACTTCTCAAACAACAGAGATTTACGATCCGAAGACCTTCTTCACTCACGCGGCATTGCT CCATCCGGTTTGCACCCTTTGTGGATGATTCCCTACTGCTGCATACCGTAGGAGTCTGGG CCGTGTCTCAGTCCCGTAGGGTGATCGGCCACACTGGGACTGAGA >NODE_558_length_224_cov_1.529801 GGCGTGAATGGGTGCGCCGTCCATCCAAGCCTTCAACCGGGTCTGCGATATCTCACCAAC CTCCAGCATGTGGAACATCAGCAAGGCCTTGGCGGCATGGCGAGCATGGCGGTCAGGATG CCGACGGAAGGAGGCCAGCCGACTGCGTGCTTCGGTCAGCGCGGCATCGACATCATGGAA CGCGGTACCGTGACCTGGCACCACAACCCGTACCTGCAGTGATG >NODE_559_length_224_cov_1.052980 ATATTCAGTGGGCGGACCCGTTCTCGCTGGAAATGTTGGTCAGCCTCGCCAGGACGCCAC CGCAAAACACCCTCGTCATTCTAGCCTATCGCGAAGACGAAGCGCATTTGCATCTGAAGC CGTCCGGGTTTCTGGACGCCATCAAATCGCATGCGCTCCCGGTTACTGAAATCGCGTTGG CACCGCTGCACGCCGCAGCCATCGTGGAAATGCTCGAATCCACC >NODE_560_length_224_cov_1.019868 TGATTGGTGAGAACGATTGTCGAGAGGGGTTCGTCAAGGTCGCGGCGGTACCAGCAAGAG AAACCGGCGGTTCCCCCGCCGTGCGAGACGATGGTCCTTCCATCCACCTCGTCGACTTCC CACCCAAAGCCCCAACCGGCGGGCTGACCGTTCGACAGGCTGGCGCTACGCCACATCTTC CGCCGAACGCCCGAGCTCAAGATTCGCCCCTGATCCAGGGCAAC >NODE_561_length_224_cov_1.019868 GGAGGAGGTCGAGGTCGATGTGGCTTACAGCACAGCCTACTTCCGACGCGATCCGGGGCA GTTGGGGCAGCAGGCCGGCGCTCTGGTCAGCGCCACGCCCACCTTGCCCCGCTCGGGCGT GGTGCTGGCGCAAGAGCCCGATGCGCAGGGCACCCCGAGGTGGGTCGTGACCCTGGCGGG CTACGATCGTGACCATCCCACCCCCACACTGGACGGCATGCGGC >NODE_562_length_224_cov_1.019868 GGGGGTGGCCGCAGCCGCGAGCAGCAACCCCACGTCAGCCGGTACGGCGCGCCCTGCGGC GCGTCGCTCGTCGGCGAAGTCGCCTGCCATCCGGGCGAGCTCGGCGTCCGCCCGCTCCAG CAGGCCGCTCACGACGGAGACCGGCACCCCCATGAAGACGAGCTTGAGCACCGCTTGACG CCAGGCGGAGGGCTCGAGGTGGCGGGCGGCATACGGACCCATGG >NODE_563_length_224_cov_1.019868 GAATAACCCCGACCCATGAGGATTCCATTGCGCCCGCTTCCCCGCCTCGCCCTGCTCGTC CTCACCCTGCTGTTCGCCGGCTGGTGTGTGAAGTCGCTCCGTGGCGATCTGGCCCAGCTT TCATTCGCGCGGAACACCTTTGAATCGGAGCGTTGACCGTAGTCACAACGCCGCAAGTTT TTTTCGTTAATCTGCAGAATAACCCCGACCCATGAGGATTCCAT >NODE_564_length_224_cov_1.019868 GCAGTTATCCGCCCGCGATGGCGGAGCAATTCGAGCACGCTCTGAACGAGGCAGGCGTCA GCTATCGCAGCGAGACATACCCTGCCGCGCACGGATGGATGAAGCCCGACTTCCCCGTCT ATGACGAGACGGCGGCAGAGCACGGTTGGCGTGAAATGCTGGCTTTCTTCCGTCGAACCC TTCGGTGACGGTTTGCGCTTTCGTGCGTCGAGTGGCTCTAATAG >NODE_565_length_224_cov_1.019868 GCAGGACCTATTACCACAAGGCCGCGAAGGTCACCGAGTTGCCTTCCGGAAAGAATCTGG CGCGCGTGGCGCTGGAGGAGTACATCGGCAAAGTCTATGCTGTGGAACGTCAAATCAAGC AGTTGCGCGAGGAGCGGGAGAAATCCGGCCAAACACTGTCGTTGGAAACGGTACTGAAAA TACGCAAGGAACGGTCCGAGCCTCTCATGGAAGCGTTCAAAGAG >NODE_566_length_224_cov_1.019868 TTCCTCGCAGAATACGCGCTCCTGCGCCGCGATTGCGGGCGAGGTGCGGCGGCTCAATGC CGCCTTGGGGACCGATGTGGATGTGCCGGGCCAACCCAAGGGCGAAGGGTCCGCGCTCGC TGCGGTCGCCGCGCGAACTGCGGTTAATACGCTGATTCCGGGCCTGGGCATCGTGCGTGT CATCACCGGGGCGGACAAGCAGCAGCGTCGCGACGAGGCGGCCG >NODE_567_length_224_cov_1.019868 TTGAAGAACTTACCAGACAAATTTTATTGAAAGAAATTGCTCTGGAAAAATTCAACCTCA ATTACAAATTGAATGTAGCCAAACAGGGAAGATGGAAGGGGTGGCGCTACGCATTAGCGA ACGAAGCATCAGCCGCGCTTGGTATTGCCGGTGGAATCATCGGAACTGAACAGCGCGGTT CGCACTTGCATCGCTCAGACAAAGTAAAAAACTATGTGCAGGAA >NODE_568_length_224_cov_1.019868 TCAGCAGACTGATCGCCGAGCTCAAGGAGGCCAAAGAGATTAGAAATGCGCTGTGCCACG GTTCGTGGGGCAAACCCGACGATCAGGGGCGCACGGTGCCCAAGTTCGTGAGGCGCGGCC TCCAGATTTTCGAAACGCCGGTTGACGTCGCCTTCTTCAAACAAACCCGCGCCGCGCTAA GGGAAATCATCTGCGACATTCTCGATAGCGTGACAATGGTTGGC >NODE_569_length_224_cov_1.013245 GCTTATGAGCGCAACTGCGCTCGTCGGTATTCTCGGGGCTATTCCGAGCGTCACTTTTGC GCAAACTGCGCCATCTACGTCTACGAATTCTGTGGAGCCGGCCGCTAATACGATCCAGAC GGGTGATCCGAGCGATAATCCTTCCAATGATGGCGAAATCGTCGTCACCGGATCGCGCAT CGCGCGTCCGACATCGTCGTAACCGGGACCGGTGACGACAATGT >NODE_570_length_224_cov_1.006623 TCCCCGACCCAATCCACATCCGCCGGATCAACCCGTAATACCGAGTCGCTGTAAATCGTC TCATGGATGAAGCGGTGTCCGGCGACGATTTGGTCGATCCCGCGCCAATACATCGCATAG CGGTTCACGAAGGTGGCATCCGCATGGAAGAGCGCGCCAAACGCGACCATGTCATGCGCG TTCCAGGCCGCTTCAAAGTGCTCGGTAATCCGTTCCGGATGATC >NODE_571_length_224_cov_0.986755 GGCCTATGCCGTGAACAGCACCCCCACCTTCCTCATCAACGGCGTGGCGCAAGCCCATAC CTTCACCTGGGCGGCGCTGGAGCCGCTGGTGCGCGCCGCCGTTGCCAAGTAAAAATGCGT TTTCTCCAAGGAGCTTATTCGATGAACCCTCGCATCCTGTTCGCCGCGCTGGCTGCCGTT TCGCTCGCTTCGTGCGGCGACGCTGTTGCCGCCCGATGCCCCGC >NODE_572_length_224_cov_0.655629 GGACGGAGAGACGCTTGTTCACCGCTCTCTAACGGGGTGGGCTCGTGGAGGTCTGAGAGT TCGCGCAAAGCTGCCGTAGCGAAGGCAAGCCGGCCAGCTATTGTCCAATCTATATACGTA GACGCCGCAGCGATGGACGTCGCAGCGCTATCAGCGGTCGAAAAGAACCACAGCTCACCT GCATAGTCGGGCAAGGCATGGAAGCTGACGACCAGGCTTGGAAG >NODE_573_length_208_cov_3.081481 ATGGTTTCAACGGGTAACGGGGAATAAGGGTTCGATTCATTCATAATAACTTTTCGAATC GCATGGCCTTGTGCTGGCGATGGTTCATTCAAATTTCTGCCCTATCAACTTTCGATGGTA GGATAGTGGCCTACCATGGTTTCAACGGGTAACGGGGAATAAGGGTTCGATTCATTCATA ATAACTTTTCGAATCGCATGGCCTTGTG >NODE_574_length_164_cov_1.032967 CAGCGACCAAAAGAATGCTAGAGTGGCAACCCAGACTGTTGGTGGTGTAGAGCTTCCTGT AGCCACTCTAGCATACTTACTGACAGCCAGACAGCGACCAAAAGAATGCTAGAGTGGCAA CCCAGACTGTTGGTGGTGTAGAGCTTCCTGTAGCCACTCTAGCA >NODE_575_length_151_cov_1.230769 GCCCCCGACCGTCCCTATTAATCATTACGATGGTCCTAGAAACCAACAAAATAGAACCAA ACGTCCTATTCTAGTGATGCCCCCGACCGTCCCTATTAATCATTACGATGGTCCTAGAAA CCAACAAAATAGAACCAAACGTCCTATTCTA >NODE_576_length_121_cov_4.125000 GAAACGGTGCTTTCTGGTAGATATGGCCGCAACCAGTTGATCGGACGGGAAACGGTGCTT TCTGGTAGATATGGCCGCAACCAGTTGATCGGACGGGAAACGGTGCTTTCTGGTAGATAT G >NODE_577_length_99_cov_5.668605 GGATCCTCTAGAGTCGACCTGCAGGCATGCAAGCTAAAATTAACCCTCACTAAAGGGAAT AAGCTTGCATGCCTGCAGGTCGACTCTAGAGGATCCTTT >NODE_578_length_97_cov_12.208333 GAACTGAAACATCTAAGTACAGGGGAACTGAAACATCTAAGTACAGGGGAACTGAAACAT CTAAGTACAGGGGAACTGAAACATCTAAGTACAGGGG >NODE_579_length_95_cov_11.181818 ACTTTCCAGAGCGTTCCGCTGCACTTTCCAGAGCGTTCCGCTGCACTTTCCAGAGCGTTC CGCTGCACTTTCCAGAGCGTTCCGCTGCACTTTCC >NODE_580_length_92_cov_14.473684 GCTTGTACGCATACGGTCTGCTTGTACGCATACGGTCTGCTTGTACGCATACGGTCTGCT TGTACGCATACGGTCTGCTTGTACGCATACGG >NODE_581_length_92_cov_13.578947 AGTCGTTTCTTCTGCTTGTAGTCGTTTCTTCTGCTTGTAGTCGTTTCTTCTGCTTGTAGT CGTTTCTTCTGCTTGTAGTCGTTTCTTCTGCT >NODE_582_length_76_cov_2.000000 CATAGTAGGGAGGATATGAGGTGTGAGCGATATACTAGTATTCCTAGAAGTGAGATGGTA AATGCTAGTATAATAT ================================================ FILE: tests/input/TestSnpEff/RBV16.fasta ================================================ >RBV16-1 ACAAAATCAGAGAAGAAGTAGACAGTATCATCTACAAAAAGAAAATGTAACACCTCTACA ATGGATACCGACAAAATTGTATTCAAAGTCAATAACCAGGTTGTCTCTCTAAAACCTGAA ATTATTGTAGATCAATATGAGTACAAATACCCGGCTATCAAAGACTTAAAAAAGCCCAGT ATCTCCCTGGGAAAAGCTCCTGATTTGAACAAGGCGTATAAGTCAATTTTGTCCGGTATG AATGCAGCTAAGCTCGACCCTGACGATGTGTGCTCTTACTTGGCAGCTGCAATGCAGTTC TTTGAAGGAACATGTCCAGAAGACTGGACTAGCTATGGAATCTTGATTGCAAGGAAAGGA GACAAGATAACTCCAAACTCTCTCGTAGACATAAAACGTACAGATGTAGAAGGGAACTGG GCTCTAACAGGAGGAATGGAGTTGACTAGGGATCCCACCATTCCAGAACATGCATCTTTG GTTGGTCTTCTCCTGAGTTTGTATCGATTGAGCAAAATATCCGGACAGAACACAGGCAAT TATAAGACAAATATCTCTGATCGTATAGAGCAGATTTTTGAGACGGCCCCCTTTGTGAAG ATCGTGGAACATCACACTTTGATGACAACTCACAAAATGTGCGCTAACTGGAGCACCATA CCGAACTTTAGATTCCTAGCCGGAACTTATGACATGTTTTTCTCTCGGATTGAACATCTA TATTCAGCAATCAGAGTGGGTACAGTTGTCACTGCTTACGAGGACTGCTCAGGGCTAGTA TCCTTTACAGGTTTTATAAAGCAGATAAACCTTACAGCAAAGGAAGCAATACTTTATTTC TTCCACAAAAATTTTGAGGGAGAGATAAGAAGAATGTTTGAGCCGGGACAGGAAACTGCA GTCCCTCACTCCTATTTCATCCATTTCCGGTCTTTGGGCCTTAGTGGGAAATCTCCATAT TCGTCAAGTGCAGTTGGTCACGTGTTCAACCTCATTCACTTTGTTGGATGCTATATGGGT CAAGTGAGGTCTTTGAATGCAACGGTTATTGCCACATGTGCTCCACATGAGATGTCTGTT CTCGGGGGTTATTTGGGGGAGGAGTTCTTTGGCAAGGGGACTTTTGAGAGAAGATTCTTC AGAAACGAGAAGGAACTTCAGGACTATGAAGCAGCAGAGTTGACAAAGACTGAGGTCGCT CTGGCAGACGACGGAACAGTCAATTCTGACGATGAAGACTACTTCTCTGGTGAAACCAGG AGTCCAGAGGCGGTCTATACTCGGATCATGATCAATGGGGGCCGACTCAAAAGATCACAT ATAAGAAGGTATGTATCAGTCAGTTCCAATCATCAAGCTCGCCCCAATTCATTTGCTGAA TTTCTAAACAAGACATATTCTAACGACCCGTAGGGAGTCGAACTTCAAGATTGTCAACAA TAATAAATTGTTTAATTCCTCCACGAAAAAAACTAACACCCCTCCTTTTGAACCATCCCA AGCATGAGCAAGATTTTTGTCAACCCAAGTGCGATCCGGGCCGGCCTTGCTGACCTAGAG ATGGCAGAGGAGACTGTAGATCTGATTGCCAGGAACATCGAGGACAATCAGGCTCATCTC CAAGGAGAGCCTATAGAAGTAGATAGTCTGCCCGATGACATGAGACGGCTCCACTTGGAT AGTGAAAAACCGTCTGGTTTTGACAAGGTGACAAAAGAAGGGGAGAGCAAGTGTCATGAA GACTTTCAGATGGATGAAGGGGAGGACCCCAGCCTCTTGTTCCAGTCATACCTGGATAAT GTCGGAGTTCAAATAGTCAGGCAAATGAGGTCAGGAGAGAGATTCCTTAAAATATGGTCT CAGACTGTGGAGGAGATCATATCCTATGTCATGATCAATTTCCCAGGCTCTTTGGGGAGG CCTTCTGAAGACAAGGCCACTCAAACTGCCAATCGGGAACCCAAGAAAGGAGTGGCATCA GTTTCGTCTCAACTCGAAGGTCAATCATCCAAAGCGAGAGCGGCAGCCCAAACTGCCTCC GGTCCACCTGCCCTAGAATGGTCTGCCACCAACGAAGAAGACGATTTGTCTGTGGAGGCA GAGATAGCTCATCAAATTGCCGAGAGCTTCTCCAAGAAGTACAAATTCCCCTCTCGATCA TCAGGGATATTCTTGTATAATTTTGAGCAGTTAAAGATGAACCTTGATGACATAGTCAAG GAATCAAAGAATGTGCCTGGTGTTACCCGCTTGGCCCATGAAGGGTCTAAACTCCCTCTA AGATGTGTACTTGGGTGGGTTGCTCAAGCCAACTCCAGAAAGTTCCAGCTGCTGGTCGAG CCTGACAAGCTAAATAAAATAATGCAAGACGACCTAAACCGTTATTTGTCTCGTCAACTA AATTTGTAGCCTCAGTCCCATTATGCAATCAAAACCAGTCTGATCCAAAGTCAACGTGAA AAAAACAGGCAACACCACTAATACAATGAATTTCCTACGCAAGATAGTGAAGAACTGTAG AGATGAGGACGATCAGAAGCCTTCTCTCGCATCGGCCCCCCCAGATGATGATGATCTGTG GTTGCCCCCTCCAGAATATGTCCCATTGAAGGAGCTCACAGGGAAGAAGAACATGAGAAA CTTCTGTGTTAATGGGGAGGTCAAGGTGTGTAGTCCAAACGGATATTCCTTTAGGATCTT GCGTCACATTCTGAAATCGTTCGATGAGATCTATTCCGGAAATCAAAGAATGATTGGGTT AGTCAAAGTTGTGGTCGGATTGGCCTTGTCTGGAGCCCCAGTCCCCGAGGGCATGAACTG GGTTTACAAACTAAGGAGAACTCTTATTTTCCAATGGGCAGACTCTAGGGGTCCTCTGGA AGGGGAAGAGTTGGAGTACTCTCAGGAAATTACCTGGGACGATGACACTGAATTTGTAGG GTTGCAAATAAGGGTGAGTGCTAGACAATGCCATATCCAAGGTAGAATCTGGTGCATTAA CATGAACTCTAGAGCATGTCAATTGTGGTCTGATATGTCCCTTCAAACTCATAGATCTGA GGAGGACAAAGACTCCTCAGTCCTTCTAGAGTAGTCGAATTATATCTCACAAGTTCCTCA ATTGTCCACCTCTGGAGGAGAGAACACATGGGCTCAACTCCAACCTTCAGGAGCAATAGA ACAAAAACATGTTATGGTGCCGTTGAATCGCTGCATTTTATCAGAGTCAAATCAATTACA ATTGCACTTTAAGCCTCTTGGATGTGAAAAAAACTATTAACATCCCTCAAAAGACCTGAG GAAAGATGGTCCCTTGGGCCCTTCTGTTTGTGCCTTTTCTGATCTCTTCATTGTGTTTTG GGAAGTTCCCTATCTACACAATACCAGACAAGCTAGGTCCTTGGAGTCCTATCGACATAC ATCATCTCAGTTGTCCCAATAATCTTGTTGTGGAAGACGAGGGGTGTAATAGTCTGTCGG GGTTTTCTTACATGGAACTAAAAGTGGGATACATCTCTGCCATAAAAGTGAACGGGTTCA CTTGTACTGGTGTCGTGACGGAAGCCGAGACCTACACTAACTTCGTCGGTTATGTCACCA CCACATTCAAGAGAAAACACTTTCGCCCGATGCCCGATGCATGTAGATCCGCATACAATT GGAAAATGGCAGGCGATCCTAGGTATGAAGAGTCCCTTCACAACCCATACCCTGATTATC ATTGGCTGCGGACAGTTAAAACCACCAAGGAGTCTCTTATCATCATCTCGCCAAGTGTGG CTGACCTAGACCCGTATGACAAATCCCTTCATTCAAGGATTTTTCCTGGGGGGAAATGCA CGGGTCTAACAGTCTCTTCCACCTACTGCTCGACCAACCATGACTACACCATCTGGATGC CTGAAAAAGCAGGGCTCGGGACATCTTGTGACATCTTCACCAATAGTAAAGGGAAGAGAG CATCTAAAGGAGGCAAGACTTGTGGATTTGTGGACGAGAGAGGTTTGTATAAGTCCTTGA AAGGAGCTTGTAAGCTCAAACTGTGCGGAGTTTCTGGGCTTAGACTTATGGATGGAACTT GGGTTGCGATTCAGACATTGGATGAAACCAAATGGTGCTCTCCTGATCAACTGGTGAATC TGCATGACTTCCACTCGGATGAGCTTGAGCATCTTGTTGTAGAGGAGTTGGTTAGAAAGA GGGAGGAATGTCTGGATGCATTAGAATCCATCATGACCACCAAATCAGTAAGCTTCAGAC GTCTAAGCCACCTGAGAAAACTAGTTCCTGGGTTTGGGAAGGCATACACCATATTCAACA AAACCCTAATGGAGGCCGATGCCCACTACAAGTCCGTTCGGACTTGGAGCGAGATCATCC CCTCAAAAGGGTGTTTGAGAGTAGGGGGGAGATGTCATCCTCATGTAAATGGAGTATTTT TCAATGGCATCATTCTAGGTCCGGACGGGCATGTGTTGATCCCAGAAATGCAGTCATCCC TTCTCCAACAACATGTGGAACTGTTGGAGTCCTCTGTGATCCCCCTCATGCACCCCCTGG CAGATCCTTCAGCAGTTTTCAAAGATGGTGACGAGGCAGAGGATTTTGTTGAGGTTCATC TCCCAGATGTTCACAAACAGATCTCAGGGGTGGACCTAGGCCTCCCAAGCTGGGGAAAGT ATATGCTGATGATTGCAGGTGCTCTAACGACTCTAATGCTGTTCATCTTCTTGATGACAT GTTGCAAAAGAGTCAACAGGACAAAGTCAATACGACAAGGCCCCAGAGAGATGGAAAGAA AAGTATCATTTACTCCCCAAAACAAAAAAGTCGTATCTTCATGGGAGTCTTACAAGAGCG GAGGCGAGACCAAGCTGTAAGGAGGGCTGCCCCCCCCACACACTATGCTCGGAAAACTGT TCCCCTCTGATACATGGAAGAATGTCCTGCCTTGACAATCCCCCACGGACTCTGTCCAAC AGGGTAAATTTCGAAGTCAAGAAACTTTCATCGATCATCTCACTCGACCAGACACATTCA GGTGGACTTTGATGATGTATGAAGCATTTTTACAGTATCAGCGACTAATGGTGCTCTCAC CCTCTAAGGACTGGTACTAAAGGTAGCGGACAGGCTGACTGACATCTCAGACAACCCTGT TTCTTAGCTTGGGCAGAGGTTGTGATAAGCTCCTCTACCTTAAACTAAAACAGTGATCAG CTGAGAAAACTGATTTGCCTCCTATGAAGGACACAAGCAATAGATCACAATCATCTCACA TCCCAATAAGTTGTGCATAACTACAAAGGGCTGGGCCATCTAATCTCCTCAATCAAGAAA AAAACTGTGAGACAGAGAAATCCTCAACAACACTTCTCATCCTGAACACTGCACCATGAT GATTGATCCAGGGGAGGTTTATGATGACCCCATTGATCCAGTCGAGTCTGAGAGTGAGCC AAGAGGAAACTCCAATATCCCCAACATCTTGCGAAATTCTGACTACAATCTCAACTCCCC TCTGATCGAGGATTCAGCCAAGCTGATGTTAGAATGGCTGAAAACAGGAAATAGACCTCT CCGGATGACCCTGACCGACAATTGTTCTCGGTCTTACAAAGTTCTGAAAGATTACCTCAA GAAAGTGGATCTAGGATCTCTCAAAGTGGGCGGAGCTGCAGCACAATCTATGATCTCTCT TTGGTTATATGGTGCTCACTCTGAATCAAATAGGAGCAGGAGGTGTATGACTGACTTAGC TCAATTCTACTCCAAATCTTCCCCTATAGAGAAGCTGTTAAACTTCACACTCGGGAACAG AGGGCTGAGAATCCCCCCTGAGGGAGTCTTAAGCTGTCTTGAGAGGGTGGATTACGATAA GGCATTTGGGAGGTATTTGGCCAATATATATTCCTCCTATTTGTTCTTTCATGTGATTAC CCTTTACATGAATGCCCTAGATTGGGATGAGGAGAAGACTATCTTGGCACTGTGGAGGGA ATTGACATCAGTGGATATGGGAAAGGACTTGGTCAAGTTTAAAGATCAGATATGGGGACT TCTGATTGTGACTAAAGACTTCATATATTCACAAAGCTCTCACTGTCTCTTTGACAGGAA CTATACGCTTATGCTAAAAGACCTTTTTTTGTCCCGGTTCAACTCTCTGATGATTTTGCT GTCCCCCCCGGAACCCAGATACTCAGATGACTTGATATCTCAGCTGTGTCAGCTGTACAT AGCAGGAGATCAAGTGTTGTCCATGTGCGGAAACTCTGGTTATGAAGTCATAAAAATCTT GGAGCCGTATGTTGTAAACAGCTTGGTCTATAGAGCGGAAAAATTCAGGCCTCTTATTCA CTCTCTGGGGGACTTCCCTGTTTTTATAAAGGACAAGGTGAATCAACTTGAGGGGACGTT TGGTCCTAGTGCGAAGAGATTCTTTAAAGTCTTGGATCAATTCGACAACATACATGATTT GGTCTTTGTATACGGTTGTTACAGGCATTGGGGGCACCCTTACATAGACTATAGAAAGGG TCTGTCAAAATTGTATGACCAGGTCCACATTAAAAAGGTGATAGATAAGTCCTATCAGGA GTGTTTAGCGAGTGACCTGGCCAAAAGAATCCTCAGGTGGGGGTTCGACAAATACTCCAA ATGGTATCTAGATCCACGACTTCTTGCGAGGGATCACCCCCTGACTCCTTATATCAAGAC CCAGACATGGCCTCCCAAGCACATAGTGGATTTGGTAGGTGATACCTGGCATAGACTCCC GATCACCCAGATCTTCGAGATCCCTGAATCAATGGACCCATCAGAGATATTAGATGACAA ATCACACTCTTTCACTAGAACAAGGCTAGCGTCATGGCTTTCGGAAAACAGAGGAGGACC GGTTCCAAGTGAGAAGGTCATTATTACGGCTCTCTCCAAACCGCCTGTCAACCCTAGAGA GTTTTTGAAATCTATAGACCTTGGGGGGCTGCCAGACGAAGACTTAATCATCGGCTTGAA ACCCAAAGAAAGGGAGCTGAAGATCGAAGGCCGATTTTTTGCTTTAATGTCTTGGAATTT AAGGCTATACTTCGTTATTACAGAGAAGCTCCTGGCCAATTATATATTACCACTCTTTGA TGCATTAACCATGACCGACAATTTGAACAAGGTGTTCAAAAAGTTGATTGATCGAGTCAC CGGACAAGGGCTCTTAGATTATTCGAGGGTTACATATGCTTTTCACTTGGACTATGAGAA GTGGAACAATCATCAGAGACTAGAATCGACTGAGGATGTATTCTCCGTCCTTGATCAAGT GTTTGGATTAAAAAGGGTGTTCTCCAGAACTCATGAGTTTTTCCAGAAGTCTTGGATATA TTACTCAGATAGATCTGATCTTATAGGATTGTGGGAGGACCAGATATACTGTTTGGACAT GTCAAATGGCCCGACGTGCTGGAACGGCCAAGATGGCGGGTTAGAGGGGTTACGACAGAA GGGCTGGAGTCTGGTCAGCCTACTGATGATAGATCGAGAGTCTCAGACCAGGAACACAAG AACTAAGATACTAGCCCAGGGAGACAACCAAGTTCTATGTCCGACATACATGTTATCGCC TGGGCTTTCTAGAGAGGGCCTCCTCTACGAGTTGGAGAGTATATCAAGAAACGCACTCTC AATATATCGAGCCATCGAGGAAGGGGCATCTAAACTGGGGCTCATTATAAAGAAGGAGGA GACAATGTGCAGCTATGACTTTCTCATTTATGGAAAAACTCCCTTATTTCGAGGTAACAT TCTGGTGCCTGAATCCAAAAGGTGGGCTAGAGTCTCCTGTATCTCTAACGACCAAATAGT CAACCTCGCTAATATAATGTCAACAGTGTCTACCAATGCTTTGACTGTTGCTCAACACTC TCAGTCTTTGATTAAACCGATGAGGGACTTTCTGCTTATGTCAGTGCAAGCCGTTTTTCA TTACTTGCTATTTAGCCCCATTTTAAAAGGCAGAGTTTACAAAATACTGAGTGCTGATGG GGATCATTTTCTTTTAGCTATGTCTAGAATAGTTTACCTTGACCCCTCATTGGGGGGTGT GTCTGGAATGTCTCTTGGGAGGTTTCACATACGCCAGTTTTCAGACCCGGTCTCTGAGGG GTTATCTTTTTGGAGAGAGATTTGGTTAAGTTCAAATGAGTCTTGGATCCATGCACTTTG TCAAGAAGCAGGAAATCCGGATTTGGGAGAGAGAACACTGGAAAGCTTCACACGCCTTCT CGAGGATCCCACTACCCTGAATATAAAAGGAGGGGCCAGTCCAACCATTCTTCTCAAGGA TGCAATCAGAAAGGCCCTGTATGATGAAGTGGATAAGGTGGAGAACTCCGAGTTTAGAGA AGCAATCCTCTTGTCCAAGACCCATAGGGACAACTTTATACTTTTCTTGAGATCTGTTGA GCCTCTCTTTCCTAGATTTCTCAGTGAACTCTTCAGCTCTTCCTTCCTGGGGATTCCTGA ATCGATTATTGGGCTGATCCAAAATTCTAGAACGATAAGAAGACAGTTTAGGAAGAACCT CTCTAGAACCTTAGAAGAGTCTTTCTATAACTCAGAGATTCATGGGATCAATCGGATGAC ACAGACTCCCCAGAGAATAGGAAGAGTTTGGGCCTGCTCTTCTGAGAGGGCAGATCTCCT AAGAGAAATCTCGTGGGGGAGAAAGGTGGTTGGTACAACCGTCCCTCACCCCTCTGAGAT GTTGGGGTTGCTTCCTAAATCTTCAATCTCCTGTACTTGTGGCGCAACAGGAGGGGGAAA TCCTCGAATATCAGTGTCTGTACTCCCGTCCTTTGATCAGTCGTTCTTTTCCAGAGGCCC TCTGAAGGGATACCTGGGCTCATCCACATCTATGTCAACCCAGCTGTTCCATGCTTGGGA GAAGGTCACCAATGTTCATGTGGTGAAAAGGGCCCTTTCACTCAAAGAGTCCATAAATTG GTTCGTCACAAGAAACTCCAATTTGGCTCAAACTTTAATCAGGAATATAATGTCTCTGAC GGGACCAGACTTCCCGCTGGAAGAGGCCCCCGTCTTTAAGAGAACAGGATCAGCTCTGCA CAGGTTCAAGTCAGCTAGGTACAGTGAAGGGGGTTATTCCTCTGTCTGTCCCAATCTCCT CTCTCATATTTCCGTCAGCACAGACACGATGTCTGACCTGACTCAAGATGGGAAGAACTA TGACTTTATGTTCCAGCCGCTGATGCTTTACGCACAGACATGGACATCAGAACTGGTGCA GAAGGACATACGGCTGAGAGACTCCACCTTTCACTGGCATCTTCGATGCAATAAGTGTAT AAGGTCCATCGATGACATCACTCTAGAGACTTCCCAGATCTTTGAATTCCCGGATGTTTC GAAAAGGATATCTAGGATGGTCTCTGGAGCAGTGCCTCACTTTCAAAAACTTCCTGATAT TCGTCTAAGACCTGGAGACTTTGAGTCTCTAAGTGACAAAGAGAAGTCACGCCACATAGG GTCGGCTCAGGGGCTCTTGTATTCGATCCTGGTTGCGATCCACGACTCTGGGTACAACGA TGGAACCATTTTTCCTGTCAACATATATAGCAAGGTCTCCCCGAGAGACTATTTAAGAGG TCTCGCCAGAGGAATCTTAATAGGGTCTTCTATCTGCTTTCTAACAAGAATGACAAACAT CAACATCAACAGACCCCTTGAACTAATCTCAGGAGTGATCTCATACATCCTCCTTAGATT AGACAATCACCCATCCTTATACATCATGCTCAGAGAACCGTCTCTGAGAGGAGAAATATT TTCTATTCCCCAAAAGATCCCCGCCGCTTACCCAACCACAATGAAAGAGGGCAACAGATC TATCCTGTGTTACCTCCAGCATGTGCTCCGCTATGAGCGGGAGGTAATTACAGCATCCCC GGAGAATGATTGGTTATGGATCTTCTCTGACTTCAGAAGTTCCAAAATGACCTATTTAAC CCTTATCACCTATCAGTCTCATCTTTTACTTCAGAGGGTTGAGAAGAATCTCTCTAAAAA TATGAGGGCCAACCTACGACAGATGAGCTCTCTCATGAGACAAGTATTGGGCGGGCATGG CGAAGACACCTTAGAATCAGACGAGGACATTCAGAGGTTGTTGAAAGACTCATTACGTAG GACAAGATGGGTAGATCAAGAGGTGCGTCATGCAGCCAGAGCCATGACAGGGGGTTATAG CCCCAATAAGAAGATGTCTCGCAAAGCGGGGTGTTCAGAATGGGTCTGCTCTGCCCAACA GGTTGCTGTTTCAACCTCAGCAAATCCAGCCCCTGTCTCTGAGCTGGACATCAGGGCTCT CTCCAAAAGACTTCAAAACCCGTTGATTTCAGGTCTGAGAGTTGTTCAGTGGGCAACAGG CGCTCATTACAAACTCAAACCTATTCTTGATGATCTCAATGTGTTCCCATCCTTATGTCT TGTGGTCGGAGACGGGTCAGGGGGGATCTCAAGGGCTGTACTCAATATGTTTCCGGACGC TAGGCTCGTGTTCAACAGCCTGTTGGAAGTGAATGACCTGATGGCTTCAGGGACACATCC GTTGCCTCCTTCAGCAATCATGAGCGGAGGGGATGATATCATATCTAGGGTGATTGACTT TGACTCCATCTGGGAAAAGCCTTCTGACTTAAGGAACTTGACGACATGGAGGTACTTCCA GTCGGTTCAAGAACAAGTGAATATGTCCTATGATCTTATTATTTGTGACGCAGAGGTCAC TGACATCGCATCAATTAATCGAATAACTCTACTAATGTCTGATTTTGCATTATCAATAGA CGGCCCACTTTATTTAGTTTTCAAAACTTATGGAACCATGCTCGTGAATCCTGATTACAG AGCCGTTCAACATCTGTCCAGAGCATTTCCCACAGTCACAGGATTCATAACCCAGATGAC ATCATCCTTCTCGTCTGAGCTATACCTCAGATTCTCTAAAAGGGGAAAATTTTTCCGAGA TGCAGAATACTTGACTTCTTCTACTATTAGGGAGATGAGCCTTGTATTGTTCAACTGCAG CAGCCCAAAAAGTGAGATGCAGAGGGCCCGCTCTCTGAATTACCAGGACCTTGTAAGAGG ATTTCCTGAGGAGATCATATCCAACCCATATAATGAGATGATCATAACTCTGATTGACAG TGATGTGGAATCTTTCCTGGTTCATAAGATGGTTGATGACCTAGAGTTGCAGCGAGGAAC TTTGTCTAAAGTCTCCATTATCGTAGCCATCATGATAGTCTTTTCCAACAGGGTGTTTAA TGTCTCGAAACCGTTGACTGACCCTTTATTCAATCCGCCATCTGACCCCAAAATCTTGAG ACACTTCAATATTTGCTGCAGTACCATGATGTACTTGTCTACTGCTCTGGGGGATGTTCC AAGCTTTGCTAGACTTCATGACCTGTATAACAGACCAATAACCTACTATTTCGGGAAGAA AGTTATCCGAGGGAACATTTATTTATCCTGGAGTTGGTCTGACGACACTTCAGTGTTCAA AAGGGTGGCTTGCAATTCTAGTTTGAGCCTCTCGGCTCACTGGATAAGGCTGATTTACAA AATAGTGAAGACTACCAGACTTGTGGGAAATACGGAGAATCTATCCAGGGAGGTCGAAAA GCACCTTCGAGGGTACAACAGGTGGATTACCCTAGACGACATAAAATCCAGATCATCTCT TCTAGATTACAGCTGCCTATAAAACAGGGCATTTGGGGAGAAATACATGGACCAACACCT TGAGACAGTATGCCCTGAAAAAAACAAGACCCTGATTCATAACCTCTATTTGCTTGATGG TTTTTTTTGTCTTTGTTGTTTTTTTGTTAA ================================================ FILE: tests/input/TestSnpEff/msa.fasta ================================================ >JQ685920 ACGCTTAACAACAAAATCAGAGAAGAAGTAGACAGTGTCGTCTACAAAGCAAGAATGTAA CACCCCTACAATGGATGCCGACAAGATTGTGTTTAAAGTCAATAATCAGGTGGTCTCTCT GAAGCCTGAAATTATAATAGATCAATATGAATACAAGTACCCGGCTATCAAAGATTTGAA AAAGCCCAGTATAACCTTAGGAAAAGCCCCTGACTTGAACAAAGCATACAAGTCAATTCT GTCCGGCATGAATGCAGCCAAGCTTGACCCTGATGATGTATGCTCTTATCTAGCAGCCGC AATGCAGTTCTTTGAGGGGACATGTCCTGATGACTGGACCAGCTATGGAATCCTGATTGC ACGGAAGGGAGACAAGATTACTCCAAATTCTCTTGTGGACATAAAACGTACTAATGTGGA AGGGAACTGGGCTTTGACAGGGGGTATGGAGTTGACGAGAGACCCCACAGTTTCGGAGCA TGCATCCCTAGTTGGTCTTCTCTTGAGTCTTTACAGGTTAAGCAAAATATCTGGACAAAA CACCGGCAATTACAAAACGAACATCGCAGACAGAATAGAGCAGATTTTCGAGACGGCCCC CTTTGTAAAGATCGTAGAGCATCATACCTTGATGACAACCCACAAAATGTGTGCTAACTG GAGTACTATACCGAACTTCAGATTTCTGGCCGGAACCTACGATATGTTTTTCTCGCGGGT TGAACATCTGTATTCAGCAATTAGAGTGGGTACAGTTGTAACAGCCTATGAGGACTGCTC AGGGTTGGTGTCGTTTACAGGGTTTATTAAGCAAATAAATCTCACTGCAAAAGAAGCAAT ACTATATTTCTTCCACAAGAACTTCGAGGAAGAGATAAGAAGAATGTTCGAGCCGGGGCA AGAGACGGCAGTTCCTCACTCCTATTTCATACATTTTCGTTCTTTGGGCCTGAGTGGGAA ATCTCCGTATTCATCAAATGCAGTTGGTCACGTGTTCAACCTCATTCACTTTGTTGGATG TTATATGGGTCAAGTGAGATCTTTGAACGCAACGGTTATTGCTACATGTGCCCCGCATGA GATGTCTGTTCTTGGGGGTTATTTGGGGGAGGAGTTTTTCGGAAAAGGGACTTTTGAGAG AAGATTCTTTAGGGATGAGAAAGAACTTCAGGAATATGAGGCAGCTGAAGCAACGAAGAC TGAAATAGCCTTGGCGGATGACGGAACAGTCAATTCTGATGATGAGGACTACTTCTCTGG TGAAACTAGGAGCCCGGAGGCAGTTTATACTCGAATCATGATGAATGGGGGTAGATTAAA AAGATCACACATAAGGAGATATGTCTCAGTCAGTTCCAATCATCAAGCTCGCCCTAATTC GTTCGCTGAGTTTCTAAGTAAGACATACTCTAGTGATTCATAAAGAATTGAACAACAGGA TTGTAAACATTAACAAATTGTGTACATCCTTCACGAAAAAAACTAACACCCCTCCTCTTG AACCATCTCAGACATGAGCAAGATTTTTGTTAACCCAAGTGCAATCAGGGCAGGCTTGGC TGATCTGGAGATGGCAGAGGAAACTGTAGATCTAGTTGCCAAGAACATCGAAGATAATCA AGCTCATCTCCAAGGAGAACCCATAGAGGTGGACAGTCTTCCTGAAGACATGAGACGGCT TCAGTTAGACGATGAAAAACCATCTGGCCTCGGTGTGATTGCCAAAGCAGGGGAGAGCAA ATGTCAGGAAGACTTTCAGATGGACGAGGGGGAGGACCCCGCCCTCTTGTTCCAGTCGTA CCTAGACAATATTGGAGTTCAAATGGTCAGACAAATGAGATCAGGAGAGAGGTTCCTCAA GATATGGTCTCAGACTGTTGAGGAGATCATATCCTATGTCACGGTCAATTTCCCCAGTCT GCCAAGGAAAGCCTCAGAAGACAAGGCTACCCAGACTGCCAACCAGGAACTCAAGAAAAA GACAATGTCTGTTTCTTCTCAGCGAGAAAGTAAATCATCTAAAGCTAAAATGGCGGCCCA AACCGCCTCCGGTCCTCCTGCTCTAGAATGGTCCGCCACAAACGAGGAGGATGACCTATC TGTGGAGGCTGAAATTGCTCACCAGATTGCTGAGAGCTTCTCTAAGAAGTACAAATTCCC CTCTCGATCATCAGGGATATTCTTGTATAATTTTGAGCAGTTGAAGATGAACCTTGATGA CATCGTTAAGGAGTCGAAAAATGTGCCAAGCGTAACCCGCTTAGCCCATGACGGATCCAA ACTCCCTCTGAGGTGTGTGCTGGGGTGGGTTGCTCTAGCCAACTCCAAAAAGTTCCAGCT GTTAGTTGAGCCTGACAAGCTAAACAAAATAATGCAAGACGACCTGAATCGTTATGTGTT CTGCTGACCAAACCCTCAAACTCAGTCGTGCTATGCGATCAAATCCAGCCTGCTCCAAAC CCAACGTGAAAAAAACAGGCAACACCACTGATAAAATGAACTTTCTACGCAAGATAGTAA AGAACTGTAGAGATGAGGACACTCAGAAGCCCTCTTTCGTGTCGGCTCCTCCAGATGATG ATGACTTGTGGTTACCCCCTCCGGAATATGTTCCATTGAAGGAACTCTCGGGTAAGAAAA ACATGAGAAACTTTTGTATAAATGGAGAGGTCAAAGTGTGTAGTCCGAATGGCTATTCAT TTAGGATCCTGAGGCACATTTTGAAATCATTCGATGAGATCTATTCTGGAAATCAAAGAA TGATAGGGTTAGTTAAAGTTGTTGTTGGACTTGCGTTGTCAGGAGCCCCAGTCCCGGAGG GCATGAACTGGGTATACAAATTGAGGAGAACTCTTATCTTCCAGTGGGCTGATTCTAGGG GCCCTCTAGAGGGGGAGGAGTTAGAATACTCTCAGGAAATTACCTGGGATGACGATGCCG AATTTGTCGGATTGGAAATACGAGTGAGTGCAAGACAGTGCCATATCCAGGGCAGGATTT GGTGTATCAACATGAACTCTAGGGCATGTCAACTATGGTCTGACATGTCCCTTCAAACAC AAAGGTCTGAGGAGGATAAAGACTCTTCAATGCTTCTGGAATAGTCAATTTACATCCTAC AAATTCCTCAATTGTTTACCTCTGGAGGAGAGAGCACATGGACTTAACTCCAACCTTCAG GAGCAATAGAACAAAAACATGTTATGGTGCCGTTGAATTGCTGCATTTTATCATAGTCAA ATCAATTATCTTTACATTTTAAGCCTCTCGGATGTGAAAAAAACTATCAACATCCCTCAA AAGACTTAAGGAAACATGATCCCTCAGGCTCTTCTGTTTGTGCCTTTTCTATTTCCCTCG TTGTGTCTCGGGAAATTCCCCATCTACACCATACCGGAAAAGCTCGGCCCTTGGAGTCCC ATCGACATACATCATCTCAGCTGTCCTAACAATTTGGTTGTGGAGGACGAGGGTTGCGAC AGTCTGTCAGGGTTTTCTTACATGGAACTGAAGGTGGGTTACATCTCTGCCATAAAGGTG AATGGGTTCACTTGTACCGGTGTCGTGACAGAAGCTGAGACCTACACCAACTTTGTTGGT TATGTCACCACCACGTTCAAGAGAAAACACTTCCGCCCTATGCCAGATGCATGCAGAGCT GCGTACAACTGGAAGACAGCCGGTGACCCTAGATATGAGGAGTCTCTTCACAATCCTTAT CCTGATTACCATTGGCTACGGACCGTGAAAACCACCAAAGAATCTCTTGTTATCATATCG CCGAGTGTGGCTGATTTGGACCCATATGACAAATCCCTTCATTCAAGAGTTTTCCCTGGT GGGAAATGTTTGGGGATAACAATCTCTTCCACCTACTGCTCAACTAACCATGACTATACT ATCTGGATGCCCGAAGAAGCAAGACTCGGGACATCTTGTGACATTTTTACCAACAGCAAA GGGAAGAGGGCATCTAAGGGGGGTAGGACTTGCGGATTCGTGGATGAAAGGGGCTTATAT AAGTCTCTAAAAGGGGCATGTAAACTTAAGCTGTGCGGAGTTCCTGGACTTAGACTTATG GATGGAACGTGGGTCGCTATTCAGACACCAGGTGAGACCAAATGGTGCTCTCCTGATCAG CTGGTAAATCTACATGACTTTCGTTCAGATGAGATAGAACATCTCGTCGTGGAGGAGTTG ATCAAGAAGAGAGAAGAATGTCTAGATGCACTAGAGTCCATCATGACCACCAAATCAGTA AGCTTCAGACGTCTCAGCAACTTGAGAAAACTTGTCCCTGGGTTTGGAAAGGCATACACT ATATTCAACAAAACCTTGATGGAGGCTGATGCTCACTACAAGTCAGTTCGGACTTGGGAT GAAATCATTCCCTCAAAGGGGTGCCTAAGAGTCGGAGGGAGGTGTCATCCTCATGTAAAC GGAGTGTTTTTCAATGGTATAATTCTGGGTCCGGATGGACATGTCCTGATTCCAGAGATG CAATCGTCCCTCCTCCAACAGCATATGGAGCTGTTGGAATCCTCTGTAATCCCCCTAATA CATCCCTTGGCCGACCCATCAACAGTCTTCAAAGACGGTGATGAAGCGGAGGACTTTGTT GAGGTTCACCTTCCGGACGTTCACAAGCAGGTCTCAGGGGTCGATCTTGGTCTCCCAAAC TGGGGGAAATATGTGCTGATGAGTGCAGGTGTTCTAGCGACCGTGATACTGACAATCTTC TTGTTAACATGTTGCAGAAGGGTTAACAGAACAAAACCAAAACAACAAAGTCTTGGGGAG TCAGGAAGGAAAGTATCGGTTACTCCTCAAAATGGGAAGGTCATGTCTTCATGGGAGTAT TACAAGAGTGAGGGCAGGACCAGTCTGTGAGTGCTGGCCATCTCCTCCATATCTTGCGTT CAGAAGATCACCTCTCTTCTAGATCTGGGGGAATCTCTTGTTTTGACAGTCCTTTGTGGA CTCCGTGCTACAAGGCAAAATTCGAGAGTCAAGAAACTTTCATTAATCATCCCAACTGAT CAGACACAGTTACGTAGGTTCTGATAATGTATGACGTCTTCTGACAGTGTCAGTGACCAA TGGTGCTCTCATCCCCCATGGACTGATACCAAAGGTTGTGGACAAACCAACCGATATCTC AGATAATTCTAGGCTTGAGCCGGGGCAGGGACCGTGGCTAGTCCCCCTACACTAGACT-A AATAATGGTTAGCTGAGGGAAGCGATTTGCCTCCTATGAAGGACATAAGCAATAGATCAC AATCATCTTACATCCCGATAAGGTGTGCTTAACTACAAAGGGCTGGGCCATCCAAGCTTT TCAGCCAAGAAAAAAACTGTGGAATGGAGGAGTAATTAACAACACTTCTCATCCTGAGAA CTGCACCATGATGCTTGATCCAGGGGAGGTTTATGATGACCCCGTTGATCCGATTGAGTC AGAGGCCGAGCCGAGAGGGAACCCAACCATTCCCAACATCTTAAGAAACTCTGACTACAA TCTCAACTCTCCTCTAATAGAGGATCCAGCCAAACTAATGTTAGAATGGTTGAAGACAGG AAATAGGCCTCTCCGGATAACTTTAACAGACAATTGCTCTAGGTCTTACAAAATTTTGAA GGATTATTTCAAGAAAGTGGATATAGGATCTATCAAAGTGGGCGGGGCTGCAGCACAATC TATGATCTCCCTTTGGTTGCACGGTGCCCACTCTGAATCAAATAGGAGCCGGAAGTGTAT AACCGACTTGGCTCAGTTCTATTCCAAGTCTTCCCCCATAGAAAAGCTGTTAAATTACAC ACTCGGAAATCGAGGGCTGAGGATCCCCCCAGAGGGGGTCCTAAGTTGCCTTGAGAGGGT CGATTACGATAAAGCATTTGGGAGGTATCTGGTTAACATATACTCCTCTTACTTATTCTT TCACGTGATCACCCTTTACATGAACGCCTTGGACTGGGATGAGGAGAAGACCATTCTAGC ACTGTGGAGGGATTTAACCTCAATAGATATAGGAAAGGACTTGGTCAAGTTTAAAGATCA AATATGGGGATTGCTAATTGTGACCAAGGATTTTGTGTACTCACAAAGTTCTAACTGCCT TTTTGATAGAAACTACACGCTTATGCTTAAAGACCTTTTTTTGTCTCGGTTCAACTCTCT AATGATTCTCCTTTCTCCTCCGGAACCCAGATATTCAGACGACCTGATATCCCAGCTGTG TCAGCTATATATCGCTGGAGATCATGTCTTGTCTATGTGCGGGAACTCTGGTTATGAGGT CATTAAAATATTGGAGCCGTACGTTGTGAACAGTTTAGTCCAGAGGGCAGAAAAGTTTAG GCCTCTCATTCATTCCCTAGGGGACTTCCCTGTATTTATAAGAGATAAGGTAGGTCAGCT TGAAGGAACATTTGGTCCCAGTGCAAAAAGGTTCTTCAGGGTTCTGGATCAATTCGACAA TATACACGACTTAGTCTTTGTATACGGCTGTTATAGGCATTGGGGGCATCCTTACATAGA TTATAGAAAGGGCTTATCGAAGCTATATGATCAAGTCCACATCAAGAAGGTGATAGATAA GACTTACCAGGAGTGTTTGGCCAGCGACCTGGCCAAAAGGATCCTCAGGTGGGGATTTGA CAAGTATTCCAAATGGTATATTGATTCAAGACTCCTCTCAAAGGACCACCCCCTAACTCC TTATATCAAAACCCAGACGTGGCCTCCAAAACATGTGGTAGATTTGGTGGGTGACACTTG GCATAAGCTCCCGATCACCCAGATCTTCGAGATCCCCGAATCAATGGACCCATCTGAGAT ACTAGATGATAAATCACACTCTTTTACTAGAACTAGACTAGCGTCCTGGCTATCAGAGAA CAGAGGAGGGCCGGTCCCCAGCGAGAAGGTCATTATCACTGCTCTTTCCAAGCCTCCTGT CAACCCCAGGGAATTTCTGAAATCTATAGACCTGGGAGGATTGCCGGACGAGGATTTGAT AATCGGCCTCAAGCCTAAGGAAAGAGAGTTGAAGATAGAAGGTCGGTTTTTTGCCTTGAT GTCCTGGAATCTAAGGCTGTATTTTGTCATCACAGAAAAGCTCCTAGCCAATTATATCTT GCCACTTTTTGACGCACTGACTATGACAGACAACTTGAACAAAGTGTTTAAAAAGCTGAT CGACAGAGTCACCGGACAGGGGCTTTTAGACTACTCCAGAGTTACATACGCTTTTCACCT GGACTATGAAAAGTGGAACAATCATCAGAGGCTGGAGTCGACAGAGGATGTATTTTCTGT ACTTGATCAAGTATTCGGATTAAAGAGGGTGTTTTCCAGAACTCATGAGTTTTTTCAGAA GTCTTGGATCTATTACTCAGATAGATCCGACCTCATCGGGTTATGGGAAGATCAAATATA CTGTTTGGACATGTCAAACGGCCCGACATGCTGGAACGGCCAGGATGGCGGGCTAGAGGG TTTGCGACAGAAAGGCTGGAGTCTGGTTAGCCTATTAATGATAGATCGTGAATCTCAAAC CAGGAACACAAGAACTAAAATACTAGCTCAGGGAGACAACCAAGTTCTGTGTCCGACATA TATGCTGTCGCCGGGGCTCTCTCGAGAGGGGCTTCTCTACGAGTTGGAGAGCATATCAAG AAACGCTCTCTCGATATATCGTGCCATCGAGGAAGGGGCATCCAAACTGGGGCTCATCAT AAAGAAGGAAGAGACCATGTGTAGCTATGACTTTCTCATCTATGGGAAAACTCCTTTATT TCGAGGTAACATCTTGGTGCCTGAGTCCAAAAGATGGGCTAGGGTCTCCTGTATCTCCAA CGACCAGATAGTCAACCTTGCCAATATAATGTCAACTGTATCCACTAATGCATTGACTGT CGCCCAACACTCTCAGTCTTTGATTAAACCGATGAGGGACTTCCTGCTTATGTCAGTACA AGCTGTCTTCCATTACTTGCTGTTTAGCCCCATCTTGAAAGGCAGAGTTTACAAGATCCT GGGTGCCGAGGGGGACAATTTTCTTCTAGCTATGTCTAGGATAATTTATTTAGACCCCTC ATTGGGGGGAGTATCTGGAATGTCTCTTGGAAGGTTCCACATACGTCAGTTCTCAGATCC TGTCTCAGAAGGGTTGTCCTTCTGGAGAGAGATATGGCTGAGCTCCAGTGAGTCTTGGGT TCATGCACTGTGTCAAGAGGCAGGAAACCCAGATCTGGGAGAGAGAACACTGGAAAGCTT CACTCGCCTGCTCGAGGATCCTACTACCCTAAACATTAAAGGAGGGGCCAGTCCTACCAT TCTTCTCAAAGATGCGATCAGAAAAGCCTTGTATGATGAGGTAGACAAGGTGGAGAACTC AGAGTTTAGGGAAGCGATCCTCTTGTCTAAGACTCATAGGGATAATTTCATACTCTTCTT GAAATCTGTTGAGCCTTTGTTCCCCCGATTTCTCAGTGAGCTCTTCAGTTCATCATTCCT GGGGATTCCCGAATCAATCATTGGGTTGATACAAAACTCCAGAACAATAAGAAGACAGTT TAGGAGGAGTCTCTCAAGAACCTTGGAAGAGTCCTTTTATAACTCAGAGATCCATGGGAT CAACCGGATGACCCAGACTCCCCAGAGGGTCGGGAGAGTTTGGCCCTGCTCTTCTGAGAG GGCAGACCTCCTAAGAGAAATCTCATGGGGAAGGAAGGTGGTCGGCACAACAGTTCCTCA CCCCTCTGAGATGTTGGGGTTGATTCCCAAATCCTCTATTTCCTGTACTTGTGGAGTAAC AGGAGGGGGAAACCCTCGAATATCAGTGTCTGTGCTTCCATCTTTTGATCAGTCATTTTT TTCGAGAGGCTCTCTGAAAGGATATCTGGGCTCATCCACTTCCATGTCGACCCAGCTATT CCATGCCTGGGAGAAAGTCACCAATGTTCATGTGGTGAAAAGAGCTCTGTCACTCAAGGA ATCTATAAACTGGTTCATTACAAGAGACTCAAATTTGGCCCAAACTTTGATTAGGAACAT AATGTCTCTGACAGGCCCAGATTTTCCTCTGGAAGAGGCCCCTGTCTTCAAGAGGACAGG GTCTGCCCTGCATAGGTTCAAGTCGGCTAGATACAGTGAAGGGGGGTACTCTTCAGTTTG TCCAAATCTCCTCTCTCACATCTCTGTCAGTACAGACACGATGTCTGATTTGACTCATGA TGGGATAAATTATGACTTTATGTTTCAGCCGTTGATGCTTTATGCGCAAACATGGACATC AGAACTGGTGCAAAAAGATACACGGCTGAAAGATTCTACCTTTCACTGGCATCTTCGATG TAACAAGTGCATAAGGCCCATCGATGATATCACCCTTGATACCTCTCAGATCTTCGAGTT CCCAGATGTCTCAAGAAGGATATCTAGGATGGTTTCTGGAGCTGTGCCTCATTTCAGAAA GCTTCCTGATATTCGTTTGAGACCAGGTGACTTCGAATCTCTAAGTGGTAAAGAGAAGTC TCGCCACATAGGATCGGCCCAAGGACTCTTGTATTCAATCTTGGTTGCGATCCATGACTC TGGGTATAATGATGGAACCATTTTCCCTGTCAACATATATAGCAAGGTCTCCCCTAGAGA CTATTTGAGAGGGCTTGCGAGAGGAGTCTTGATAGGGTCCTCGATTTGCTTCTTGACAAG AATGACAAACATTAACATCAATAGACCTCTTGAACTGATCTCAGGAGTGATATCATACAT CCTCTTGAGACTGGACAATCACCCATCCTTGTATATAATGCTCAGAGAGCCATCCCTTAG AGGAGAGATATTTTCTATTCCCCAAAAGGTCCCCGCTGCTTACCCGACCACGATGAAAGA AGGTAACAGATCTGTTCTGTGCTACCTCCAACATGTGTTGCGCTACGAACGAGAGGTGAT CACTGCATCTCCGGAGAATGACTGGTTGTGGATCTTCTCGGACTTTAGAAGCTCTAAGAT GACATATCTGACTCTCATCACCTACCAGTCTCATCTGTTACTTCAGAAGGTTGAGAAGAA TCTCTCCAAGAGTATGAGAGCCAACCTACGGCAAATGAGCTCTCTGATGAGGCAGGTGCT GGGTGGCCATGGTGAAGACACCTTAGAGTCAGACGAAGACATCCAGAGGCTGTTAAGAGA CTCTCTGCGTAGGACAAGGTGGGTAGACCAGGAAGTGCGCCATGCAGCGAGAACTATGAC AGGAGTTTACAGCCCCACCAAGAAGATGTCACGCAAAGCCGGGTGTTCAGAATGGGTCTG CTCTGCACAGCAGGTTGCGGTTTCGACCTCATCGAACCCAGCCCCTGTTTCAGAGCTGGA CGTCAGAGCCCTCTCCAAAAGGCTTCAAAACCCGTTGATCTCTGGACTGAGAGTGGTTCA GTGGGCGACAGGGGCCCATTATAAGCTCAAACCTATTCTGGATGATCTCAATGTCTTTCC ATCTCTATGTCTTGTGGTCGGGGATGGGTCAGGGGGGATATCAAGAGCAGTACTTAACAT GTTTCCTGATGCCAAACTCGTATTCAACAGCCTGTTAGAAGTAAATGACCTGATGGCATC AGGAACACATCCGTTGCCCCCCTCAGCAATCATGAGTGGAGGAGATGACATCATATCCAG GGTAATTGGCTTCGACTCCATCTGGGAGAAACCTTCTGACTTGAGGAACTTGACCACATG GAGGTACTTCCAGTCAGTCCAAGAACAAGTAAATATGTCATACGACCTTATCATTTGTGA TGCAGAGGTCACTGACATTGCATCAATCAACCGAATAACCCTGCTAATGTCTGATTTTGC ATTGTCCATAGACGGCCCACTTTATCTGGTTTTCAAAACTTACGGTACCATGCTTGTAAA CCCTGACTACAGAGCAATTCAACATCTATCCAGAGCATTTCCTGCGGTCACTGGATTCAT AACTCAGATGACCTCGTCCTTCTCATCCGAGCTATATCTCAGATTCTCAAAGCGGGGGAA GTTCTTCCGGGATGCAGAGTATTTGACTTCTTCCACCCTTCGAGAAATGAGCCTTGTATT GTTCAACTGTAGCAGCCCCAAGAGTGAGATGCAGAGAGCCCGCTCTCTAAATTACCAAGA TCTTGTAAGAGGATTCCCAGATGAGATCATATCCAATCCTTACAGCGAAATGATCATAAC TCTGATTGACAGTGATGTAGAATCTTTCCTGGTTCACAAAATGGTAGATGATCTAGAGTT GCAGCGAGGAACTTTGTCTAAAGTTTCTATCATTATAGCCATCATGATAGTCTTCTCCAA TAGGGTGTTCAATGTCTCAAAACCACTGACTGACCCTTTATTCTATCCGCCATCTGATCC CAAGATCTTGAGACACTTCAACATATGCTGCGGCACCATGATGTACTTGTCTACCGCCTT AGGGGATGTGCCCAGCTTCTCGAGACTTCATGACCTGTACAACAGACCCATAACTTATTA TTTTAGGAAGCAAGTCATCCGGGGGAGTGTTTACCTGTCCTGGAGTTGGTCTGATGACAC TTCAGTGTTTAAAAGGGTGGCTTGCAACTCTAGCTTGAGTCTCTCATCTCACTGGATCAG GTTGATTTACAAAATAGTGAAGACCACCAGACTTGTAGGAAGGGTCGAGGACCTGTCCAG GGAGGTAGAGAGGCACCTTCGGGGGTACAACAGATGGATCACCCTCGATGACATTAGATC CCGATCATCTCTGTTAGATTATAGCTGCTTGTAAGACTAAGCACTCTCGAGGGAATGTAC AGACTAAGATTATGGGACGGTGTAACCTGAAAAAAACAAGATCCCGATTCATAACTTCTG TTTACTTGATTG-TTTTTCCATCTTTATTGTTTTTTTGTTAAGCGT >RBV16-1 ----------ACAAAATCAGAGAAGAAGTAGACAGTATCATCTACAAAAAGAAAATGTAA CACCTCTACAATGGATACCGACAAAATTGTATTCAAAGTCAATAACCAGGTTGTCTCTCT AAAACCTGAAATTATTGTAGATCAATATGAGTACAAATACCCGGCTATCAAAGACTTAAA AAAGCCCAGTATCTCCCTGGGAAAAGCTCCTGATTTGAACAAGGCGTATAAGTCAATTTT GTCCGGTATGAATGCAGCTAAGCTCGACCCTGACGATGTGTGCTCTTACTTGGCAGCTGC AATGCAGTTCTTTGAAGGAACATGTCCAGAAGACTGGACTAGCTATGGAATCTTGATTGC AAGGAAAGGAGACAAGATAACTCCAAACTCTCTCGTAGACATAAAACGTACAGATGTAGA AGGGAACTGGGCTCTAACAGGAGGAATGGAGTTGACTAGGGATCCCACCATTCCAGAACA TGCATCTTTGGTTGGTCTTCTCCTGAGTTTGTATCGATTGAGCAAAATATCCGGACAGAA CACAGGCAATTATAAGACAAATATCTCTGATCGTATAGAGCAGATTTTTGAGACGGCCCC CTTTGTGAAGATCGTGGAACATCACACTTTGATGACAACTCACAAAATGTGCGCTAACTG GAGCACCATACCGAACTTTAGATTCCTAGCCGGAACTTATGACATGTTTTTCTCTCGGAT TGAACATCTATATTCAGCAATCAGAGTGGGTACAGTTGTCACTGCTTACGAGGACTGCTC AGGGCTAGTATCCTTTACAGGTTTTATAAAGCAGATAAACCTTACAGCAAAGGAAGCAAT ACTTTATTTCTTCCACAAAAATTTTGAGGGAGAGATAAGAAGAATGTTTGAGCCGGGACA GGAAACTGCAGTCCCTCACTCCTATTTCATCCATTTCCGGTCTTTGGGCCTTAGTGGGAA ATCTCCATATTCGTCAAGTGCAGTTGGTCACGTGTTCAACCTCATTCACTTTGTTGGATG CTATATGGGTCAAGTGAGGTCTTTGAATGCAACGGTTATTGCCACATGTGCTCCACATGA GATGTCTGTTCTCGGGGGTTATTTGGGGGAGGAGTTCTTTGGCAAGGGGACTTTTGAGAG AAGATTCTTCAGAAACGAGAAGGAACTTCAGGACTATGAAGCAGCAGAGTTGACAAAGAC TGAGGTCGCTCTGGCAGACGACGGAACAGTCAATTCTGACGATGAAGACTACTTCTCTGG TGAAACCAGGAGTCCAGAGGCGGTCTATACTCGGATCATGATCAATGGGGGCCGACTCAA AAGATCACATATAAGAAGGTATGTATCAGTCAGTTCCAATCATCAAGCTCGCCCCAATTC ATTTGCTGAATTTCTAAACAAGACATATTCTAACGACCCGTAGGGAGTCGAACTTCAAGA TTGTCAACAATAATAAATTGTTTAATTCCTCCACGAAAAAAACTAACACCCCTCCTTTTG AACCATCCCAAGCATGAGCAAGATTTTTGTCAACCCAAGTGCGATCCGGGCCGGCCTTGC TGACCTAGAGATGGCAGAGGAGACTGTAGATCTGATTGCCAGGAACATCGAGGACAATCA GGCTCATCTCCAAGGAGAGCCTATAGAAGTAGATAGTCTGCCCGATGACATGAGACGGCT CCACTTGGATAGTGAAAAACCGTCTGGTTTTGACAAGGTGACAAAAGAAGGGGAGAGCAA GTGTCATGAAGACTTTCAGATGGATGAAGGGGAGGACCCCAGCCTCTTGTTCCAGTCATA CCTGGATAATGTCGGAGTTCAAATAGTCAGGCAAATGAGGTCAGGAGAGAGATTCCTTAA AATATGGTCTCAGACTGTGGAGGAGATCATATCCTATGTCATGATCAATTTCCCAGGCTC TTTGGGGAGGCCTTCTGAAGACAAGGCCACTCAAACTGCCAATCGGGAACCCAAGAAAGG AGTGGCATCAGTTTCGTCTCAACTCGAAGGTCAATCATCCAAAGCGAGAGCGGCAGCCCA AACTGCCTCCGGTCCACCTGCCCTAGAATGGTCTGCCACCAACGAAGAAGACGATTTGTC TGTGGAGGCAGAGATAGCTCATCAAATTGCCGAGAGCTTCTCCAAGAAGTACAAATTCCC CTCTCGATCATCAGGGATATTCTTGTATAATTTTGAGCAGTTAAAGATGAACCTTGATGA CATAGTCAAGGAATCAAAGAATGTGCCTGGTGTTACCCGCTTGGCCCATGAAGGGTCTAA ACTCCCTCTAAGATGTGTACTTGGGTGGGTTGCTCAAGCCAACTCCAGAAAGTTCCAGCT GCTGGTCGAGCCTGACAAGCTAAATAAAATAATGCAAGACGACCTAAACCGTTATTTGTC TCGTCAACTAAATTTGTAGCCTCAGTCCCATTATGCAATCAAAACCAGTCTGATCCAAAG TCAACGTGAAAAAAACAGGCAACACCACTAATACAATGAATTTCCTACGCAAGATAGTGA AGAACTGTAGAGATGAGGACGATCAGAAGCCTTCTCTCGCATCGGCCCCCCCAGATGATG ATGATCTGTGGTTGCCCCCTCCAGAATATGTCCCATTGAAGGAGCTCACAGGGAAGAAGA ACATGAGAAACTTCTGTGTTAATGGGGAGGTCAAGGTGTGTAGTCCAAACGGATATTCCT TTAGGATCTTGCGTCACATTCTGAAATCGTTCGATGAGATCTATTCCGGAAATCAAAGAA TGATTGGGTTAGTCAAAGTTGTGGTCGGATTGGCCTTGTCTGGAGCCCCAGTCCCCGAGG GCATGAACTGGGTTTACAAACTAAGGAGAACTCTTATTTTCCAATGGGCAGACTCTAGGG GTCCTCTGGAAGGGGAAGAGTTGGAGTACTCTCAGGAAATTACCTGGGACGATGACACTG AATTTGTAGGGTTGCAAATAAGGGTGAGTGCTAGACAATGCCATATCCAAGGTAGAATCT GGTGCATTAACATGAACTCTAGAGCATGTCAATTGTGGTCTGATATGTCCCTTCAAACTC ATAGATCTGAGGAGGACAAAGACTCCTCAGTCCTTCTAGAGTAGTCGAATTATATCTCAC AAGTTCCTCAATTGTCCACCTCTGGAGGAGAGAACACATGGGCTCAACTCCAACCTTCAG GAGCAATAGAACAAAAACATGTTATGGTGCCGTTGAATCGCTGCATTTTATCAGAGTCAA ATCAATTACAATTGCACTTTAAGCCTCTTGGATGTGAAAAAAACTATTAACATCCCTCAA AAGACCTGAGGAAAGATGGTCCCTTGGGCCCTTCTGTTTGTGCCTTTTCTGATCTCTTCA TTGTGTTTTGGGAAGTTCCCTATCTACACAATACCAGACAAGCTAGGTCCTTGGAGTCCT ATCGACATACATCATCTCAGTTGTCCCAATAATCTTGTTGTGGAAGACGAGGGGTGTAAT AGTCTGTCGGGGTTTTCTTACATGGAACTAAAAGTGGGATACATCTCTGCCATAAAAGTG AACGGGTTCACTTGTACTGGTGTCGTGACGGAAGCCGAGACCTACACTAACTTCGTCGGT TATGTCACCACCACATTCAAGAGAAAACACTTTCGCCCGATGCCCGATGCATGTAGATCC GCATACAATTGGAAAATGGCAGGCGATCCTAGGTATGAAGAGTCCCTTCACAACCCATAC CCTGATTATCATTGGCTGCGGACAGTTAAAACCACCAAGGAGTCTCTTATCATCATCTCG CCAAGTGTGGCTGACCTAGACCCGTATGACAAATCCCTTCATTCAAGGATTTTTCCTGGG GGGAAATGCACGGGTCTAACAGTCTCTTCCACCTACTGCTCGACCAACCATGACTACACC ATCTGGATGCCTGAAAAAGCAGGGCTCGGGACATCTTGTGACATCTTCACCAATAGTAAA GGGAAGAGAGCATCTAAAGGAGGCAAGACTTGTGGATTTGTGGACGAGAGAGGTTTGTAT AAGTCCTTGAAAGGAGCTTGTAAGCTCAAACTGTGCGGAGTTTCTGGGCTTAGACTTATG GATGGAACTTGGGTTGCGATTCAGACATTGGATGAAACCAAATGGTGCTCTCCTGATCAA CTGGTGAATCTGCATGACTTCCACTCGGATGAGCTTGAGCATCTTGTTGTAGAGGAGTTG GTTAGAAAGAGGGAGGAATGTCTGGATGCATTAGAATCCATCATGACCACCAAATCAGTA AGCTTCAGACGTCTAAGCCACCTGAGAAAACTAGTTCCTGGGTTTGGGAAGGCATACACC ATATTCAACAAAACCCTAATGGAGGCCGATGCCCACTACAAGTCCGTTCGGACTTGGAGC GAGATCATCCCCTCAAAAGGGTGTTTGAGAGTAGGGGGGAGATGTCATCCTCATGTAAAT GGAGTATTTTTCAATGGCATCATTCTAGGTCCGGACGGGCATGTGTTGATCCCAGAAATG CAGTCATCCCTTCTCCAACAACATGTGGAACTGTTGGAGTCCTCTGTGATCCCCCTCATG CACCCCCTGGCAGATCCTTCAGCAGTTTTCAAAGATGGTGACGAGGCAGAGGATTTTGTT GAGGTTCATCTCCCAGATGTTCACAAACAGATCTCAGGGGTGGACCTAGGCCTCCCAAGC TGGGGAAAGTATATGCTGATGATTGCAGGTGCTCTAACGACTCTAATGCTGTTCATCTTC TTGATGACATGTTGCAAAAGAGTCAACAGGACAAAGTCAATACGACAAGGCCCCAGAGAG ATGGAAAGAAAAGTATCATTTACTCCCCAAAACAAAAAAGTCGTATCTTCATGGGAGTCT TACAAGAGCGGAGGCGAGACCAAGCTGTAAG-GAGGGCTGCCCCCCCCACACACTATGCT CGGAAAACTGTTCCCCTCTGATACATGGAAGAATGTCCTGCCTTGACAATCCCCCACGGA CTCTGTCCAACAGGGTAAATTTCGA-AGTCAAGAAACTTTCATCGATCATCTCACTCGAC CAGACACATTCAGGTGGACTTTGATGATGTATGAAGCATTTTTACAGTATCAGCGACTAA TGGTGCTCTCACCCTCTAAGGACTGGTACTAAAGGTAGCGGACAGGCTGACTGACATCTC AGACAACCCTGTTTCTTAGCTTGGGCAGAGGTTGTGATAAGCTCCTCTACCTTAAACTAA AACAGTGATCAGCTGAGAAAACTGATTTGCCTCCTATGAAGGACACAAGCAATAGATCAC AATCATCTCACATCCCAATAAGTTGTGCATAACTACAAAGGGCTGGGCCATCTAATCTCC TCAATCAAGAAAAAAACTGTGAGACAGAGAAATCCTCAACAACACTTCTCATCCTGAACA CTGCACCATGATGATTGATCCAGGGGAGGTTTATGATGACCCCATTGATCCAGTCGAGTC TGAGAGTGAGCCAAGAGGAAACTCCAATATCCCCAACATCTTGCGAAATTCTGACTACAA TCTCAACTCCCCTCTGATCGAGGATTCAGCCAAGCTGATGTTAGAATGGCTGAAAACAGG AAATAGACCTCTCCGGATGACCCTGACCGACAATTGTTCTCGGTCTTACAAAGTTCTGAA AGATTACCTCAAGAAAGTGGATCTAGGATCTCTCAAAGTGGGCGGAGCTGCAGCACAATC TATGATCTCTCTTTGGTTATATGGTGCTCACTCTGAATCAAATAGGAGCAGGAGGTGTAT GACTGACTTAGCTCAATTCTACTCCAAATCTTCCCCTATAGAGAAGCTGTTAAACTTCAC ACTCGGGAACAGAGGGCTGAGAATCCCCCCTGAGGGAGTCTTAAGCTGTCTTGAGAGGGT GGATTACGATAAGGCATTTGGGAGGTATTTGGCCAATATATATTCCTCCTATTTGTTCTT TCATGTGATTACCCTTTACATGAATGCCCTAGATTGGGATGAGGAGAAGACTATCTTGGC ACTGTGGAGGGAATTGACATCAGTGGATATGGGAAAGGACTTGGTCAAGTTTAAAGATCA GATATGGGGACTTCTGATTGTGACTAAAGACTTCATATATTCACAAAGCTCTCACTGTCT CTTTGACAGGAACTATACGCTTATGCTAAAAGACCTTTTTTTGTCCCGGTTCAACTCTCT GATGATTTTGCTGTCCCCCCCGGAACCCAGATACTCAGATGACTTGATATCTCAGCTGTG TCAGCTGTACATAGCAGGAGATCAAGTGTTGTCCATGTGCGGAAACTCTGGTTATGAAGT CATAAAAATCTTGGAGCCGTATGTTGTAAACAGCTTGGTCTATAGAGCGGAAAAATTCAG GCCTCTTATTCACTCTCTGGGGGACTTCCCTGTTTTTATAAAGGACAAGGTGAATCAACT TGAGGGGACGTTTGGTCCTAGTGCGAAGAGATTCTTTAAAGTCTTGGATCAATTCGACAA CATACATGATTTGGTCTTTGTATACGGTTGTTACAGGCATTGGGGGCACCCTTACATAGA CTATAGAAAGGGTCTGTCAAAATTGTATGACCAGGTCCACATTAAAAAGGTGATAGATAA GTCCTATCAGGAGTGTTTAGCGAGTGACCTGGCCAAAAGAATCCTCAGGTGGGGGTTCGA CAAATACTCCAAATGGTATCTAGATCCACGACTTCTTGCGAGGGATCACCCCCTGACTCC TTATATCAAGACCCAGACATGGCCTCCCAAGCACATAGTGGATTTGGTAGGTGATACCTG GCATAGACTCCCGATCACCCAGATCTTCGAGATCCCTGAATCAATGGACCCATCAGAGAT ATTAGATGACAAATCACACTCTTTCACTAGAACAAGGCTAGCGTCATGGCTTTCGGAAAA CAGAGGAGGACCGGTTCCAAGTGAGAAGGTCATTATTACGGCTCTCTCCAAACCGCCTGT CAACCCTAGAGAGTTTTTGAAATCTATAGACCTTGGGGGGCTGCCAGACGAAGACTTAAT CATCGGCTTGAAACCCAAAGAAAGGGAGCTGAAGATCGAAGGCCGATTTTTTGCTTTAAT GTCTTGGAATTTAAGGCTATACTTCGTTATTACAGAGAAGCTCCTGGCCAATTATATATT ACCACTCTTTGATGCATTAACCATGACCGACAATTTGAACAAGGTGTTCAAAAAGTTGAT TGATCGAGTCACCGGACAAGGGCTCTTAGATTATTCGAGGGTTACATATGCTTTTCACTT GGACTATGAGAAGTGGAACAATCATCAGAGACTAGAATCGACTGAGGATGTATTCTCCGT CCTTGATCAAGTGTTTGGATTAAAAAGGGTGTTCTCCAGAACTCATGAGTTTTTCCAGAA GTCTTGGATATATTACTCAGATAGATCTGATCTTATAGGATTGTGGGAGGACCAGATATA CTGTTTGGACATGTCAAATGGCCCGACGTGCTGGAACGGCCAAGATGGCGGGTTAGAGGG GTTACGACAGAAGGGCTGGAGTCTGGTCAGCCTACTGATGATAGATCGAGAGTCTCAGAC CAGGAACACAAGAACTAAGATACTAGCCCAGGGAGACAACCAAGTTCTATGTCCGACATA CATGTTATCGCCTGGGCTTTCTAGAGAGGGCCTCCTCTACGAGTTGGAGAGTATATCAAG AAACGCACTCTCAATATATCGAGCCATCGAGGAAGGGGCATCTAAACTGGGGCTCATTAT AAAGAAGGAGGAGACAATGTGCAGCTATGACTTTCTCATTTATGGAAAAACTCCCTTATT TCGAGGTAACATTCTGGTGCCTGAATCCAAAAGGTGGGCTAGAGTCTCCTGTATCTCTAA CGACCAAATAGTCAACCTCGCTAATATAATGTCAACAGTGTCTACCAATGCTTTGACTGT TGCTCAACACTCTCAGTCTTTGATTAAACCGATGAGGGACTTTCTGCTTATGTCAGTGCA AGCCGTTTTTCATTACTTGCTATTTAGCCCCATTTTAAAAGGCAGAGTTTACAAAATACT GAGTGCTGATGGGGATCATTTTCTTTTAGCTATGTCTAGAATAGTTTACCTTGACCCCTC ATTGGGGGGTGTGTCTGGAATGTCTCTTGGGAGGTTTCACATACGCCAGTTTTCAGACCC GGTCTCTGAGGGGTTATCTTTTTGGAGAGAGATTTGGTTAAGTTCAAATGAGTCTTGGAT CCATGCACTTTGTCAAGAAGCAGGAAATCCGGATTTGGGAGAGAGAACACTGGAAAGCTT CACACGCCTTCTCGAGGATCCCACTACCCTGAATATAAAAGGAGGGGCCAGTCCAACCAT TCTTCTCAAGGATGCAATCAGAAAGGCCCTGTATGATGAAGTGGATAAGGTGGAGAACTC CGAGTTTAGAGAAGCAATCCTCTTGTCCAAGACCCATAGGGACAACTTTATACTTTTCTT GAGATCTGTTGAGCCTCTCTTTCCTAGATTTCTCAGTGAACTCTTCAGCTCTTCCTTCCT GGGGATTCCTGAATCGATTATTGGGCTGATCCAAAATTCTAGAACGATAAGAAGACAGTT TAGGAAGAACCTCTCTAGAACCTTAGAAGAGTCTTTCTATAACTCAGAGATTCATGGGAT CAATCGGATGACACAGACTCCCCAGAGAATAGGAAGAGTTTGGGCCTGCTCTTCTGAGAG GGCAGATCTCCTAAGAGAAATCTCGTGGGGGAGAAAGGTGGTTGGTACAACCGTCCCTCA CCCCTCTGAGATGTTGGGGTTGCTTCCTAAATCTTCAATCTCCTGTACTTGTGGCGCAAC AGGAGGGGGAAATCCTCGAATATCAGTGTCTGTACTCCCGTCCTTTGATCAGTCGTTCTT TTCCAGAGGCCCTCTGAAGGGATACCTGGGCTCATCCACATCTATGTCAACCCAGCTGTT CCATGCTTGGGAGAAGGTCACCAATGTTCATGTGGTGAAAAGGGCCCTTTCACTCAAAGA GTCCATAAATTGGTTCGTCACAAGAAACTCCAATTTGGCTCAAACTTTAATCAGGAATAT AATGTCTCTGACGGGACCAGACTTCCCGCTGGAAGAGGCCCCCGTCTTTAAGAGAACAGG ATCAGCTCTGCACAGGTTCAAGTCAGCTAGGTACAGTGAAGGGGGTTATTCCTCTGTCTG TCCCAATCTCCTCTCTCATATTTCCGTCAGCACAGACACGATGTCTGACCTGACTCAAGA TGGGAAGAACTATGACTTTATGTTCCAGCCGCTGATGCTTTACGCACAGACATGGACATC AGAACTGGTGCAGAAGGACATACGGCTGAGAGACTCCACCTTTCACTGGCATCTTCGATG CAATAAGTGTATAAGGTCCATCGATGACATCACTCTAGAGACTTCCCAGATCTTTGAATT CCCGGATGTTTCGAAAAGGATATCTAGGATGGTCTCTGGAGCAGTGCCTCACTTTCAAAA ACTTCCTGATATTCGTCTAAGACCTGGAGACTTTGAGTCTCTAAGTGACAAAGAGAAGTC ACGCCACATAGGGTCGGCTCAGGGGCTCTTGTATTCGATCCTGGTTGCGATCCACGACTC TGGGTACAACGATGGAACCATTTTTCCTGTCAACATATATAGCAAGGTCTCCCCGAGAGA CTATTTAAGAGGTCTCGCCAGAGGAATCTTAATAGGGTCTTCTATCTGCTTTCTAACAAG AATGACAAACATCAACATCAACAGACCCCTTGAACTAATCTCAGGAGTGATCTCATACAT CCTCCTTAGATTAGACAATCACCCATCCTTATACATCATGCTCAGAGAACCGTCTCTGAG AGGAGAAATATTTTCTATTCCCCAAAAGATCCCCGCCGCTTACCCAACCACAATGAAAGA GGGCAACAGATCTATCCTGTGTTACCTCCAGCATGTGCTCCGCTATGAGCGGGAGGTAAT TACAGCATCCCCGGAGAATGATTGGTTATGGATCTTCTCTGACTTCAGAAGTTCCAAAAT GACCTATTTAACCCTTATCACCTATCAGTCTCATCTTTTACTTCAGAGGGTTGAGAAGAA TCTCTCTAAAAATATGAGGGCCAACCTACGACAGATGAGCTCTCTCATGAGACAAGTATT GGGCGGGCATGGCGAAGACACCTTAGAATCAGACGAGGACATTCAGAGGTTGTTGAAAGA CTCATTACGTAGGACAAGATGGGTAGATCAAGAGGTGCGTCATGCAGCCAGAGCCATGAC AGGGGGTTATAGCCCCAATAAGAAGATGTCTCGCAAAGCGGGGTGTTCAGAATGGGTCTG CTCTGCCCAACAGGTTGCTGTTTCAACCTCAGCAAATCCAGCCCCTGTCTCTGAGCTGGA CATCAGGGCTCTCTCCAAAAGACTTCAAAACCCGTTGATTTCAGGTCTGAGAGTTGTTCA GTGGGCAACAGGCGCTCATTACAAACTCAAACCTATTCTTGATGATCTCAATGTGTTCCC ATCCTTATGTCTTGTGGTCGGAGACGGGTCAGGGGGGATCTCAAGGGCTGTACTCAATAT GTTTCCGGACGCTAGGCTCGTGTTCAACAGCCTGTTGGAAGTGAATGACCTGATGGCTTC AGGGACACATCCGTTGCCTCCTTCAGCAATCATGAGCGGAGGGGATGATATCATATCTAG GGTGATTGACTTTGACTCCATCTGGGAAAAGCCTTCTGACTTAAGGAACTTGACGACATG GAGGTACTTCCAGTCGGTTCAAGAACAAGTGAATATGTCCTATGATCTTATTATTTGTGA CGCAGAGGTCACTGACATCGCATCAATTAATCGAATAACTCTACTAATGTCTGATTTTGC ATTATCAATAGACGGCCCACTTTATTTAGTTTTCAAAACTTATGGAACCATGCTCGTGAA TCCTGATTACAGAGCCGTTCAACATCTGTCCAGAGCATTTCCCACAGTCACAGGATTCAT AACCCAGATGACATCATCCTTCTCGTCTGAGCTATACCTCAGATTCTCTAAAAGGGGAAA ATTTTTCCGAGATGCAGAATACTTGACTTCTTCTACTATTAGGGAGATGAGCCTTGTATT GTTCAACTGCAGCAGCCCAAAAAGTGAGATGCAGAGGGCCCGCTCTCTGAATTACCAGGA CCTTGTAAGAGGATTTCCTGAGGAGATCATATCCAACCCATATAATGAGATGATCATAAC TCTGATTGACAGTGATGTGGAATCTTTCCTGGTTCATAAGATGGTTGATGACCTAGAGTT GCAGCGAGGAACTTTGTCTAAAGTCTCCATTATCGTAGCCATCATGATAGTCTTTTCCAA CAGGGTGTTTAATGTCTCGAAACCGTTGACTGACCCTTTATTCAATCCGCCATCTGACCC CAAAATCTTGAGACACTTCAATATTTGCTGCAGTACCATGATGTACTTGTCTACTGCTCT GGGGGATGTTCCAAGCTTTGCTAGACTTCATGACCTGTATAACAGACCAATAACCTACTA TTTCGGGAAGAAAGTTATCCGAGGGAACATTTATTTATCCTGGAGTTGGTCTGACGACAC TTCAGTGTTCAAAAGGGTGGCTTGCAATTCTAGTTTGAGCCTCTCGGCTCACTGGATAAG GCTGATTTACAAAATAGTGAAGACTACCAGACTTGTGGGAAATACGGAGAATCTATCCAG GGAGGTCGAAAAGCACCTTCGAGGGTACAACAGGTGGATTACCCTAGACGACATAAAATC CAGATCATCTCTTCTAGATTACAGCTGCCTATAAAACAGGGCATTTGGGGAGAAATACAT GGACCAACACCTTGAGACAGTATGCCCTGAAAAAAACAAGACCCTGATTCATAACCTCTA TTTGCTTGATGGTTTTTTTTGTCTTTGTTGTTTTTTTGTTAA---- ================================================ FILE: tests/input/TestSnpEff/ref-rabies-JQ685920.fasta ================================================ >JQ685920 ACGCTTAACAACAAAATCAGAGAAGAAGTAGACAGTGTCGTCTACAAAGCAAGAATGTAA CACCCCTACAATGGATGCCGACAAGATTGTGTTTAAAGTCAATAATCAGGTGGTCTCTCT GAAGCCTGAAATTATAATAGATCAATATGAATACAAGTACCCGGCTATCAAAGATTTGAA AAAGCCCAGTATAACCTTAGGAAAAGCCCCTGACTTGAACAAAGCATACAAGTCAATTCT GTCCGGCATGAATGCAGCCAAGCTTGACCCTGATGATGTATGCTCTTATCTAGCAGCCGC AATGCAGTTCTTTGAGGGGACATGTCCTGATGACTGGACCAGCTATGGAATCCTGATTGC ACGGAAGGGAGACAAGATTACTCCAAATTCTCTTGTGGACATAAAACGTACTAATGTGGA AGGGAACTGGGCTTTGACAGGGGGTATGGAGTTGACGAGAGACCCCACAGTTTCGGAGCA TGCATCCCTAGTTGGTCTTCTCTTGAGTCTTTACAGGTTAAGCAAAATATCTGGACAAAA CACCGGCAATTACAAAACGAACATCGCAGACAGAATAGAGCAGATTTTCGAGACGGCCCC CTTTGTAAAGATCGTAGAGCATCATACCTTGATGACAACCCACAAAATGTGTGCTAACTG GAGTACTATACCGAACTTCAGATTTCTGGCCGGAACCTACGATATGTTTTTCTCGCGGGT TGAACATCTGTATTCAGCAATTAGAGTGGGTACAGTTGTAACAGCCTATGAGGACTGCTC AGGGTTGGTGTCGTTTACAGGGTTTATTAAGCAAATAAATCTCACTGCAAAAGAAGCAAT ACTATATTTCTTCCACAAGAACTTCGAGGAAGAGATAAGAAGAATGTTCGAGCCGGGGCA AGAGACGGCAGTTCCTCACTCCTATTTCATACATTTTCGTTCTTTGGGCCTGAGTGGGAA ATCTCCGTATTCATCAAATGCAGTTGGTCACGTGTTCAACCTCATTCACTTTGTTGGATG TTATATGGGTCAAGTGAGATCTTTGAACGCAACGGTTATTGCTACATGTGCCCCGCATGA GATGTCTGTTCTTGGGGGTTATTTGGGGGAGGAGTTTTTCGGAAAAGGGACTTTTGAGAG AAGATTCTTTAGGGATGAGAAAGAACTTCAGGAATATGAGGCAGCTGAAGCAACGAAGAC TGAAATAGCCTTGGCGGATGACGGAACAGTCAATTCTGATGATGAGGACTACTTCTCTGG TGAAACTAGGAGCCCGGAGGCAGTTTATACTCGAATCATGATGAATGGGGGTAGATTAAA AAGATCACACATAAGGAGATATGTCTCAGTCAGTTCCAATCATCAAGCTCGCCCTAATTC GTTCGCTGAGTTTCTAAGTAAGACATACTCTAGTGATTCATAAAGAATTGAACAACAGGA TTGTAAACATTAACAAATTGTGTACATCCTTCACGAAAAAAACTAACACCCCTCCTCTTG AACCATCTCAGACATGAGCAAGATTTTTGTTAACCCAAGTGCAATCAGGGCAGGCTTGGC TGATCTGGAGATGGCAGAGGAAACTGTAGATCTAGTTGCCAAGAACATCGAAGATAATCA AGCTCATCTCCAAGGAGAACCCATAGAGGTGGACAGTCTTCCTGAAGACATGAGACGGCT TCAGTTAGACGATGAAAAACCATCTGGCCTCGGTGTGATTGCCAAAGCAGGGGAGAGCAA ATGTCAGGAAGACTTTCAGATGGACGAGGGGGAGGACCCCGCCCTCTTGTTCCAGTCGTA CCTAGACAATATTGGAGTTCAAATGGTCAGACAAATGAGATCAGGAGAGAGGTTCCTCAA GATATGGTCTCAGACTGTTGAGGAGATCATATCCTATGTCACGGTCAATTTCCCCAGTCT GCCAAGGAAAGCCTCAGAAGACAAGGCTACCCAGACTGCCAACCAGGAACTCAAGAAAAA GACAATGTCTGTTTCTTCTCAGCGAGAAAGTAAATCATCTAAAGCTAAAATGGCGGCCCA AACCGCCTCCGGTCCTCCTGCTCTAGAATGGTCCGCCACAAACGAGGAGGATGACCTATC TGTGGAGGCTGAAATTGCTCACCAGATTGCTGAGAGCTTCTCTAAGAAGTACAAATTCCC CTCTCGATCATCAGGGATATTCTTGTATAATTTTGAGCAGTTGAAGATGAACCTTGATGA CATCGTTAAGGAGTCGAAAAATGTGCCAAGCGTAACCCGCTTAGCCCATGACGGATCCAA ACTCCCTCTGAGGTGTGTGCTGGGGTGGGTTGCTCTAGCCAACTCCAAAAAGTTCCAGCT GTTAGTTGAGCCTGACAAGCTAAACAAAATAATGCAAGACGACCTGAATCGTTATGTGTT CTGCTGACCAAACCCTCAAACTCAGTCGTGCTATGCGATCAAATCCAGCCTGCTCCAAAC CCAACGTGAAAAAAACAGGCAACACCACTGATAAAATGAACTTTCTACGCAAGATAGTAA AGAACTGTAGAGATGAGGACACTCAGAAGCCCTCTTTCGTGTCGGCTCCTCCAGATGATG ATGACTTGTGGTTACCCCCTCCGGAATATGTTCCATTGAAGGAACTCTCGGGTAAGAAAA ACATGAGAAACTTTTGTATAAATGGAGAGGTCAAAGTGTGTAGTCCGAATGGCTATTCAT TTAGGATCCTGAGGCACATTTTGAAATCATTCGATGAGATCTATTCTGGAAATCAAAGAA TGATAGGGTTAGTTAAAGTTGTTGTTGGACTTGCGTTGTCAGGAGCCCCAGTCCCGGAGG GCATGAACTGGGTATACAAATTGAGGAGAACTCTTATCTTCCAGTGGGCTGATTCTAGGG GCCCTCTAGAGGGGGAGGAGTTAGAATACTCTCAGGAAATTACCTGGGATGACGATGCCG AATTTGTCGGATTGGAAATACGAGTGAGTGCAAGACAGTGCCATATCCAGGGCAGGATTT GGTGTATCAACATGAACTCTAGGGCATGTCAACTATGGTCTGACATGTCCCTTCAAACAC AAAGGTCTGAGGAGGATAAAGACTCTTCAATGCTTCTGGAATAGTCAATTTACATCCTAC AAATTCCTCAATTGTTTACCTCTGGAGGAGAGAGCACATGGACTTAACTCCAACCTTCAG GAGCAATAGAACAAAAACATGTTATGGTGCCGTTGAATTGCTGCATTTTATCATAGTCAA ATCAATTATCTTTACATTTTAAGCCTCTCGGATGTGAAAAAAACTATCAACATCCCTCAA AAGACTTAAGGAAACATGATCCCTCAGGCTCTTCTGTTTGTGCCTTTTCTATTTCCCTCG TTGTGTCTCGGGAAATTCCCCATCTACACCATACCGGAAAAGCTCGGCCCTTGGAGTCCC ATCGACATACATCATCTCAGCTGTCCTAACAATTTGGTTGTGGAGGACGAGGGTTGCGAC AGTCTGTCAGGGTTTTCTTACATGGAACTGAAGGTGGGTTACATCTCTGCCATAAAGGTG AATGGGTTCACTTGTACCGGTGTCGTGACAGAAGCTGAGACCTACACCAACTTTGTTGGT TATGTCACCACCACGTTCAAGAGAAAACACTTCCGCCCTATGCCAGATGCATGCAGAGCT GCGTACAACTGGAAGACAGCCGGTGACCCTAGATATGAGGAGTCTCTTCACAATCCTTAT CCTGATTACCATTGGCTACGGACCGTGAAAACCACCAAAGAATCTCTTGTTATCATATCG CCGAGTGTGGCTGATTTGGACCCATATGACAAATCCCTTCATTCAAGAGTTTTCCCTGGT GGGAAATGTTTGGGGATAACAATCTCTTCCACCTACTGCTCAACTAACCATGACTATACT ATCTGGATGCCCGAAGAAGCAAGACTCGGGACATCTTGTGACATTTTTACCAACAGCAAA GGGAAGAGGGCATCTAAGGGGGGTAGGACTTGCGGATTCGTGGATGAAAGGGGCTTATAT AAGTCTCTAAAAGGGGCATGTAAACTTAAGCTGTGCGGAGTTCCTGGACTTAGACTTATG GATGGAACGTGGGTCGCTATTCAGACACCAGGTGAGACCAAATGGTGCTCTCCTGATCAG CTGGTAAATCTACATGACTTTCGTTCAGATGAGATAGAACATCTCGTCGTGGAGGAGTTG ATCAAGAAGAGAGAAGAATGTCTAGATGCACTAGAGTCCATCATGACCACCAAATCAGTA AGCTTCAGACGTCTCAGCAACTTGAGAAAACTTGTCCCTGGGTTTGGAAAGGCATACACT ATATTCAACAAAACCTTGATGGAGGCTGATGCTCACTACAAGTCAGTTCGGACTTGGGAT GAAATCATTCCCTCAAAGGGGTGCCTAAGAGTCGGAGGGAGGTGTCATCCTCATGTAAAC GGAGTGTTTTTCAATGGTATAATTCTGGGTCCGGATGGACATGTCCTGATTCCAGAGATG CAATCGTCCCTCCTCCAACAGCATATGGAGCTGTTGGAATCCTCTGTAATCCCCCTAATA CATCCCTTGGCCGACCCATCAACAGTCTTCAAAGACGGTGATGAAGCGGAGGACTTTGTT GAGGTTCACCTTCCGGACGTTCACAAGCAGGTCTCAGGGGTCGATCTTGGTCTCCCAAAC TGGGGGAAATATGTGCTGATGAGTGCAGGTGTTCTAGCGACCGTGATACTGACAATCTTC TTGTTAACATGTTGCAGAAGGGTTAACAGAACAAAACCAAAACAACAAAGTCTTGGGGAG TCAGGAAGGAAAGTATCGGTTACTCCTCAAAATGGGAAGGTCATGTCTTCATGGGAGTAT TACAAGAGTGAGGGCAGGACCAGTCTGTGAGTGCTGGCCATCTCCTCCATATCTTGCGTT CAGAAGATCACCTCTCTTCTAGATCTGGGGGAATCTCTTGTTTTGACAGTCCTTTGTGGA CTCCGTGCTACAAGGCAAAATTCGAGAGTCAAGAAACTTTCATTAATCATCCCAACTGAT CAGACACAGTTACGTAGGTTCTGATAATGTATGACGTCTTCTGACAGTGTCAGTGACCAA TGGTGCTCTCATCCCCCATGGACTGATACCAAAGGTTGTGGACAAACCAACCGATATCTC AGATAATTCTAGGCTTGAGCCGGGGCAGGGACCGTGGCTAGTCCCCCTACACTAGACTAA ATAATGGTTAGCTGAGGGAAGCGATTTGCCTCCTATGAAGGACATAAGCAATAGATCACA ATCATCTTACATCCCGATAAGGTGTGCTTAACTACAAAGGGCTGGGCCATCCAAGCTTTT CAGCCAAGAAAAAAACTGTGGAATGGAGGAGTAATTAACAACACTTCTCATCCTGAGAAC TGCACCATGATGCTTGATCCAGGGGAGGTTTATGATGACCCCGTTGATCCGATTGAGTCA GAGGCCGAGCCGAGAGGGAACCCAACCATTCCCAACATCTTAAGAAACTCTGACTACAAT CTCAACTCTCCTCTAATAGAGGATCCAGCCAAACTAATGTTAGAATGGTTGAAGACAGGA AATAGGCCTCTCCGGATAACTTTAACAGACAATTGCTCTAGGTCTTACAAAATTTTGAAG GATTATTTCAAGAAAGTGGATATAGGATCTATCAAAGTGGGCGGGGCTGCAGCACAATCT ATGATCTCCCTTTGGTTGCACGGTGCCCACTCTGAATCAAATAGGAGCCGGAAGTGTATA ACCGACTTGGCTCAGTTCTATTCCAAGTCTTCCCCCATAGAAAAGCTGTTAAATTACACA CTCGGAAATCGAGGGCTGAGGATCCCCCCAGAGGGGGTCCTAAGTTGCCTTGAGAGGGTC GATTACGATAAAGCATTTGGGAGGTATCTGGTTAACATATACTCCTCTTACTTATTCTTT CACGTGATCACCCTTTACATGAACGCCTTGGACTGGGATGAGGAGAAGACCATTCTAGCA CTGTGGAGGGATTTAACCTCAATAGATATAGGAAAGGACTTGGTCAAGTTTAAAGATCAA ATATGGGGATTGCTAATTGTGACCAAGGATTTTGTGTACTCACAAAGTTCTAACTGCCTT TTTGATAGAAACTACACGCTTATGCTTAAAGACCTTTTTTTGTCTCGGTTCAACTCTCTA ATGATTCTCCTTTCTCCTCCGGAACCCAGATATTCAGACGACCTGATATCCCAGCTGTGT CAGCTATATATCGCTGGAGATCATGTCTTGTCTATGTGCGGGAACTCTGGTTATGAGGTC ATTAAAATATTGGAGCCGTACGTTGTGAACAGTTTAGTCCAGAGGGCAGAAAAGTTTAGG CCTCTCATTCATTCCCTAGGGGACTTCCCTGTATTTATAAGAGATAAGGTAGGTCAGCTT GAAGGAACATTTGGTCCCAGTGCAAAAAGGTTCTTCAGGGTTCTGGATCAATTCGACAAT ATACACGACTTAGTCTTTGTATACGGCTGTTATAGGCATTGGGGGCATCCTTACATAGAT TATAGAAAGGGCTTATCGAAGCTATATGATCAAGTCCACATCAAGAAGGTGATAGATAAG ACTTACCAGGAGTGTTTGGCCAGCGACCTGGCCAAAAGGATCCTCAGGTGGGGATTTGAC AAGTATTCCAAATGGTATATTGATTCAAGACTCCTCTCAAAGGACCACCCCCTAACTCCT TATATCAAAACCCAGACGTGGCCTCCAAAACATGTGGTAGATTTGGTGGGTGACACTTGG CATAAGCTCCCGATCACCCAGATCTTCGAGATCCCCGAATCAATGGACCCATCTGAGATA CTAGATGATAAATCACACTCTTTTACTAGAACTAGACTAGCGTCCTGGCTATCAGAGAAC AGAGGAGGGCCGGTCCCCAGCGAGAAGGTCATTATCACTGCTCTTTCCAAGCCTCCTGTC AACCCCAGGGAATTTCTGAAATCTATAGACCTGGGAGGATTGCCGGACGAGGATTTGATA ATCGGCCTCAAGCCTAAGGAAAGAGAGTTGAAGATAGAAGGTCGGTTTTTTGCCTTGATG TCCTGGAATCTAAGGCTGTATTTTGTCATCACAGAAAAGCTCCTAGCCAATTATATCTTG CCACTTTTTGACGCACTGACTATGACAGACAACTTGAACAAAGTGTTTAAAAAGCTGATC GACAGAGTCACCGGACAGGGGCTTTTAGACTACTCCAGAGTTACATACGCTTTTCACCTG GACTATGAAAAGTGGAACAATCATCAGAGGCTGGAGTCGACAGAGGATGTATTTTCTGTA CTTGATCAAGTATTCGGATTAAAGAGGGTGTTTTCCAGAACTCATGAGTTTTTTCAGAAG TCTTGGATCTATTACTCAGATAGATCCGACCTCATCGGGTTATGGGAAGATCAAATATAC TGTTTGGACATGTCAAACGGCCCGACATGCTGGAACGGCCAGGATGGCGGGCTAGAGGGT TTGCGACAGAAAGGCTGGAGTCTGGTTAGCCTATTAATGATAGATCGTGAATCTCAAACC AGGAACACAAGAACTAAAATACTAGCTCAGGGAGACAACCAAGTTCTGTGTCCGACATAT ATGCTGTCGCCGGGGCTCTCTCGAGAGGGGCTTCTCTACGAGTTGGAGAGCATATCAAGA AACGCTCTCTCGATATATCGTGCCATCGAGGAAGGGGCATCCAAACTGGGGCTCATCATA AAGAAGGAAGAGACCATGTGTAGCTATGACTTTCTCATCTATGGGAAAACTCCTTTATTT CGAGGTAACATCTTGGTGCCTGAGTCCAAAAGATGGGCTAGGGTCTCCTGTATCTCCAAC GACCAGATAGTCAACCTTGCCAATATAATGTCAACTGTATCCACTAATGCATTGACTGTC GCCCAACACTCTCAGTCTTTGATTAAACCGATGAGGGACTTCCTGCTTATGTCAGTACAA GCTGTCTTCCATTACTTGCTGTTTAGCCCCATCTTGAAAGGCAGAGTTTACAAGATCCTG GGTGCCGAGGGGGACAATTTTCTTCTAGCTATGTCTAGGATAATTTATTTAGACCCCTCA TTGGGGGGAGTATCTGGAATGTCTCTTGGAAGGTTCCACATACGTCAGTTCTCAGATCCT GTCTCAGAAGGGTTGTCCTTCTGGAGAGAGATATGGCTGAGCTCCAGTGAGTCTTGGGTT CATGCACTGTGTCAAGAGGCAGGAAACCCAGATCTGGGAGAGAGAACACTGGAAAGCTTC ACTCGCCTGCTCGAGGATCCTACTACCCTAAACATTAAAGGAGGGGCCAGTCCTACCATT CTTCTCAAAGATGCGATCAGAAAAGCCTTGTATGATGAGGTAGACAAGGTGGAGAACTCA GAGTTTAGGGAAGCGATCCTCTTGTCTAAGACTCATAGGGATAATTTCATACTCTTCTTG AAATCTGTTGAGCCTTTGTTCCCCCGATTTCTCAGTGAGCTCTTCAGTTCATCATTCCTG GGGATTCCCGAATCAATCATTGGGTTGATACAAAACTCCAGAACAATAAGAAGACAGTTT AGGAGGAGTCTCTCAAGAACCTTGGAAGAGTCCTTTTATAACTCAGAGATCCATGGGATC AACCGGATGACCCAGACTCCCCAGAGGGTCGGGAGAGTTTGGCCCTGCTCTTCTGAGAGG GCAGACCTCCTAAGAGAAATCTCATGGGGAAGGAAGGTGGTCGGCACAACAGTTCCTCAC CCCTCTGAGATGTTGGGGTTGATTCCCAAATCCTCTATTTCCTGTACTTGTGGAGTAACA GGAGGGGGAAACCCTCGAATATCAGTGTCTGTGCTTCCATCTTTTGATCAGTCATTTTTT TCGAGAGGCTCTCTGAAAGGATATCTGGGCTCATCCACTTCCATGTCGACCCAGCTATTC CATGCCTGGGAGAAAGTCACCAATGTTCATGTGGTGAAAAGAGCTCTGTCACTCAAGGAA TCTATAAACTGGTTCATTACAAGAGACTCAAATTTGGCCCAAACTTTGATTAGGAACATA ATGTCTCTGACAGGCCCAGATTTTCCTCTGGAAGAGGCCCCTGTCTTCAAGAGGACAGGG TCTGCCCTGCATAGGTTCAAGTCGGCTAGATACAGTGAAGGGGGGTACTCTTCAGTTTGT CCAAATCTCCTCTCTCACATCTCTGTCAGTACAGACACGATGTCTGATTTGACTCATGAT GGGATAAATTATGACTTTATGTTTCAGCCGTTGATGCTTTATGCGCAAACATGGACATCA GAACTGGTGCAAAAAGATACACGGCTGAAAGATTCTACCTTTCACTGGCATCTTCGATGT AACAAGTGCATAAGGCCCATCGATGATATCACCCTTGATACCTCTCAGATCTTCGAGTTC CCAGATGTCTCAAGAAGGATATCTAGGATGGTTTCTGGAGCTGTGCCTCATTTCAGAAAG CTTCCTGATATTCGTTTGAGACCAGGTGACTTCGAATCTCTAAGTGGTAAAGAGAAGTCT CGCCACATAGGATCGGCCCAAGGACTCTTGTATTCAATCTTGGTTGCGATCCATGACTCT GGGTATAATGATGGAACCATTTTCCCTGTCAACATATATAGCAAGGTCTCCCCTAGAGAC TATTTGAGAGGGCTTGCGAGAGGAGTCTTGATAGGGTCCTCGATTTGCTTCTTGACAAGA ATGACAAACATTAACATCAATAGACCTCTTGAACTGATCTCAGGAGTGATATCATACATC CTCTTGAGACTGGACAATCACCCATCCTTGTATATAATGCTCAGAGAGCCATCCCTTAGA GGAGAGATATTTTCTATTCCCCAAAAGGTCCCCGCTGCTTACCCGACCACGATGAAAGAA GGTAACAGATCTGTTCTGTGCTACCTCCAACATGTGTTGCGCTACGAACGAGAGGTGATC ACTGCATCTCCGGAGAATGACTGGTTGTGGATCTTCTCGGACTTTAGAAGCTCTAAGATG ACATATCTGACTCTCATCACCTACCAGTCTCATCTGTTACTTCAGAAGGTTGAGAAGAAT CTCTCCAAGAGTATGAGAGCCAACCTACGGCAAATGAGCTCTCTGATGAGGCAGGTGCTG GGTGGCCATGGTGAAGACACCTTAGAGTCAGACGAAGACATCCAGAGGCTGTTAAGAGAC TCTCTGCGTAGGACAAGGTGGGTAGACCAGGAAGTGCGCCATGCAGCGAGAACTATGACA GGAGTTTACAGCCCCACCAAGAAGATGTCACGCAAAGCCGGGTGTTCAGAATGGGTCTGC TCTGCACAGCAGGTTGCGGTTTCGACCTCATCGAACCCAGCCCCTGTTTCAGAGCTGGAC GTCAGAGCCCTCTCCAAAAGGCTTCAAAACCCGTTGATCTCTGGACTGAGAGTGGTTCAG TGGGCGACAGGGGCCCATTATAAGCTCAAACCTATTCTGGATGATCTCAATGTCTTTCCA TCTCTATGTCTTGTGGTCGGGGATGGGTCAGGGGGGATATCAAGAGCAGTACTTAACATG TTTCCTGATGCCAAACTCGTATTCAACAGCCTGTTAGAAGTAAATGACCTGATGGCATCA GGAACACATCCGTTGCCCCCCTCAGCAATCATGAGTGGAGGAGATGACATCATATCCAGG GTAATTGGCTTCGACTCCATCTGGGAGAAACCTTCTGACTTGAGGAACTTGACCACATGG AGGTACTTCCAGTCAGTCCAAGAACAAGTAAATATGTCATACGACCTTATCATTTGTGAT GCAGAGGTCACTGACATTGCATCAATCAACCGAATAACCCTGCTAATGTCTGATTTTGCA TTGTCCATAGACGGCCCACTTTATCTGGTTTTCAAAACTTACGGTACCATGCTTGTAAAC CCTGACTACAGAGCAATTCAACATCTATCCAGAGCATTTCCTGCGGTCACTGGATTCATA ACTCAGATGACCTCGTCCTTCTCATCCGAGCTATATCTCAGATTCTCAAAGCGGGGGAAG TTCTTCCGGGATGCAGAGTATTTGACTTCTTCCACCCTTCGAGAAATGAGCCTTGTATTG TTCAACTGTAGCAGCCCCAAGAGTGAGATGCAGAGAGCCCGCTCTCTAAATTACCAAGAT CTTGTAAGAGGATTCCCAGATGAGATCATATCCAATCCTTACAGCGAAATGATCATAACT CTGATTGACAGTGATGTAGAATCTTTCCTGGTTCACAAAATGGTAGATGATCTAGAGTTG CAGCGAGGAACTTTGTCTAAAGTTTCTATCATTATAGCCATCATGATAGTCTTCTCCAAT AGGGTGTTCAATGTCTCAAAACCACTGACTGACCCTTTATTCTATCCGCCATCTGATCCC AAGATCTTGAGACACTTCAACATATGCTGCGGCACCATGATGTACTTGTCTACCGCCTTA GGGGATGTGCCCAGCTTCTCGAGACTTCATGACCTGTACAACAGACCCATAACTTATTAT TTTAGGAAGCAAGTCATCCGGGGGAGTGTTTACCTGTCCTGGAGTTGGTCTGATGACACT TCAGTGTTTAAAAGGGTGGCTTGCAACTCTAGCTTGAGTCTCTCATCTCACTGGATCAGG TTGATTTACAAAATAGTGAAGACCACCAGACTTGTAGGAAGGGTCGAGGACCTGTCCAGG GAGGTAGAGAGGCACCTTCGGGGGTACAACAGATGGATCACCCTCGATGACATTAGATCC CGATCATCTCTGTTAGATTATAGCTGCTTGTAAGACTAAGCACTCTCGAGGGAATGTACA GACTAAGATTATGGGACGGTGTAACCTGAAAAAAACAAGATCCCGATTCATAACTTCTGT TTACTTGATTGTTTTTCCATCTTTATTGTTTTTTTGTTAAGCGT ================================================ FILE: tests/input/TestSplitReads/expected.fasta.01 ================================================ >from_chr9 AGCTCTGACCCTGGCCAATCATGGCACTGACCTATGCCACCATATGGGGGCCCCCCC >from_ebov_1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC ================================================ FILE: tests/input/TestSplitReads/expected.fasta.02 ================================================ >from_chr1 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT >from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC ================================================ FILE: tests/input/TestSplitReads/expected.fastq.01 ================================================ @from_chr1_1 with spaces TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @from_ebov_1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB ================================================ FILE: tests/input/TestSplitReads/expected.fastq.02 ================================================ @from_chr9_1 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT + CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT + DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD ================================================ FILE: tests/input/TestSplitReads/expected.fastq.03 ================================================ @from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC + EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE ================================================ FILE: tests/input/TestSplitReads/expected.fastq.1 ================================================ @from_chr1_1 with spaces TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @from_ebov_1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_chr9_1 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT + CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT + DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD ================================================ FILE: tests/input/TestSplitReads/expected.fastq.2 ================================================ @from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC + EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE ================================================ FILE: tests/input/TestSplitReads/in.fasta ================================================ >from_chr9 AGCTCTGACCCTGGCCAATCATGGCACTGACCTATGCCACCATATGGGGG CCCCCCC >from_ebov_1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC >from_chr1 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT >from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC ================================================ FILE: tests/input/TestSplitReads/in.fastq ================================================ @from_chr1_1 with spaces TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT + AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @from_ebov_1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC + BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB @from_chr9_1 ACAAGTGTGCCTTTGAAGGAGGAGGAGGAAGAGAGGAAGAAAGGAGAAGT + CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC @from_chr1_2 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT + DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD @from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC + EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE ================================================ FILE: tests/input/TestSplitcodeDemuxFastqs/RunInfo.xml ================================================ TESTFC01 TEST001 2025-01-01T10:00:00Z 1_1101 1_1102 1_1103 1_1201 1_1202 1_1203 ================================================ FILE: tests/input/TestSplitcodeDemuxFastqs/SampleSheet.csv ================================================ [Header],,,, IEMFileVersion,4,,, Investigator Name,TestUser,,, Experiment Name,TestExperiment,,, Date,01/01/2025,,, Workflow,GenerateFASTQ,,, Application,NovaSeq FASTQ Only,,, Assay,Nextera XT,,, Description,,,, Chemistry,Amplicon,,, ,,,, [Settings],,,, OverrideCycles,Y50;I8;I8;Y50,,, [Data],,,, Sample_ID,Sample_Name,Lane,Index,Index2, TESTFC01_1_TEST001_TestPool1,TEST001_TestPool1,1,ATCGATCG,GCTAGCTA, TESTFC01_1_TEST001_TestPool2,TEST001_TestPool2,1,CTGATCGT,TAGATCGC, TESTFC01_1_TEST001_TestPool3,TEST001_TestPool3,1,GGAATTCC,CCGGAATT, ================================================ FILE: tests/input/TestSplitcodeDemuxFastqs/samples_3bc.tsv ================================================ sample library_id_per_sample I7_Index_ID barcode_1 I5_Index_ID barcode_2 Inline_Index_ID barcode_3 TestSample1 L1 ATCGATCG GCTAGCTA AAAAAAAA TestSample2 L1 ATCGATCG GCTAGCTA CCCCCCCC TestSample3 L1 ATCGATCG GCTAGCTA GGGGTTTT TestSampleEmpty L1 ATCGATCG GCTAGCTA TTTTGGGG TestSample5 L2 CTGATCGT TAGATCGC AAAAAAAA TestSample6 L2 CTGATCGT TAGATCGC CCCCCCCC TestSampleNoSplitcode L3 GGAATTCC CCGGAATT ================================================ FILE: tests/input/TestSplitcodeDemuxFastqs/samples_3bc_i5_rc_with_n.tsv ================================================ sample library_id_per_sample I7_Index_ID barcode_1 I5_Index_ID barcode_2 Inline_Index_ID barcode_3 TestSample1_N L1 ATCGCCATAT ACGTTACGCA AAAAAAAA TestSample2_N L1 ATCGCCATAT ACGTTACGCA CCCCCCCC TestSample3_N L1 ATCGCCATAT ACGTTACGCA GGGGTTTT ================================================ FILE: tests/input/TestSplitcodeDemuxFastqs/samples_3bc_i5_revcomp.tsv ================================================ sample library_id_per_sample I7_Index_ID barcode_1 I5_Index_ID barcode_2 Inline_Index_ID barcode_3 TestSample1_RC L1 ATCGATCG GCTAGCTA AAAAAAAA TestSample2_RC L1 ATCGATCG GCTAGCTA CCCCCCCC TestSample3_RC L1 ATCGATCG GCTAGCTA GGGGTTTT ================================================ FILE: tests/input/TestSplitcodeDemuxIntegration/RunInfo.xml ================================================ TESTFLOW TEST001 250101 ================================================ FILE: tests/input/TestSplitcodeDemuxIntegration/SampleSheet.tsv ================================================ sample barcode_1 barcode_2 barcode_3 library_id_per_sample TestSample1 ATCGATCG GCTAGCTA AAAAAAAA L1 TestSample2 ATCGATCG GCTAGCTA CCCCCCCC L1 ================================================ FILE: tests/input/TestSplitcodeLookupTable/AAAAAAAA-TTTTTTTT.lLibA_summary.json ================================================ { "n_processed": 50000, "n_assigned": 48000, "tag_qc": [ { "tag": "PoolA_S1.lLibA_R1", "distance": 0, "count": 25000 }, { "tag": "PoolA_S1.lLibA_R1", "distance": 1, "count": 1000 }, { "tag": "PoolA_S2.lLibA_R1", "distance": 0, "count": 20000 }, { "tag": "PoolA_S2.lLibA_R1", "distance": 1, "count": 2000 } ] } ================================================ FILE: tests/input/TestSplitcodeLookupTable/ATCGATCG-GCTAGCTA.lB1_summary.json ================================================ { "n_processed": 100000, "n_assigned": 95000, "tag_qc": [ { "tag": "Sample1.lB1_R1", "distance": 0, "count": 30000 }, { "tag": "Sample1.lB1_R1", "distance": 1, "count": 1500 }, { "tag": "Sample2.lB1_R1", "distance": 0, "count": 45000 }, { "tag": "Sample2.lB1_R1", "distance": 1, "count": 2000 }, { "tag": "Sample3.lB1_R1", "distance": 0, "count": 15000 }, { "tag": "Sample3.lB1_R1", "distance": 1, "count": 1500 } ] } ================================================ FILE: tests/input/TestSplitcodeLookupTable/ATCGATCG-GCTAGCTA.lL1_summary.json ================================================ { "n_processed": 100000, "n_assigned": 95000, "tag_qc": [ { "tag": "Sample1.lL1_R1", "distance": 0, "count": 30000 }, { "tag": "Sample1.lL1_R1", "distance": 1, "count": 1500 }, { "tag": "Sample2.lL2_R1", "distance": 0, "count": 45000 }, { "tag": "Sample2.lL2_R1", "distance": 1, "count": 2000 }, { "tag": "Sample3.lL3_R1", "distance": 0, "count": 15000 }, { "tag": "Sample3.lL3_R1", "distance": 1, "count": 1500 } ] } ================================================ FILE: tests/input/TestSplitcodeLookupTable/GGGGGGGG-CCCCCCCC.lLibB_summary.json ================================================ { "n_processed": 60000, "n_assigned": 58500, "tag_qc": [ { "tag": "PoolB_S1.lLibB_R1", "distance": 0, "count": 30000 }, { "tag": "PoolB_S1.lLibB_R1", "distance": 1, "count": 500 }, { "tag": "PoolB_S2.lLibB_R1", "distance": 0, "count": 27000 }, { "tag": "PoolB_S2.lLibB_R1", "distance": 1, "count": 1000 } ] } ================================================ FILE: tests/input/TestSplitcodeLookupTable/TTTTAAAA-CCCCGGGG.lB2_summary.json ================================================ { "n_processed": 0, "n_assigned": 0, "tag_qc": [] } ================================================ FILE: tests/input/TestSplitcodeLookupTable/sample_sheet_basic.tsv ================================================ sample barcode_1 barcode_2 barcode_3 library_id_per_sample Sample1 ATCGATCG GCTAGCTA AAAACCCC B1 Sample2 ATCGATCG GCTAGCTA GGGGTTTT B1 Sample3 ATCGATCG GCTAGCTA CCCCGGGG B1 ================================================ FILE: tests/input/TestSplitcodeLookupTable/sample_sheet_multi_pool.tsv ================================================ sample barcode_1 barcode_2 barcode_3 library_id_per_sample PoolA_S1 AAAAAAAA TTTTTTTT ACGTACGT LibA PoolA_S2 AAAAAAAA TTTTTTTT TGCATGCA LibA PoolB_S1 GGGGGGGG CCCCCCCC ATATATAT LibB PoolB_S2 GGGGGGGG CCCCCCCC GCGCGCGC LibB ================================================ FILE: tests/input/TestSplitcodeLookupTable/sample_sheet_unique_lib_ids.tsv ================================================ sample barcode_1 barcode_2 barcode_3 library_id_per_sample Sample1 ATCGATCG GCTAGCTA AAAACCCC L1 Sample2 ATCGATCG GCTAGCTA GGGGTTTT L2 Sample3 ATCGATCG GCTAGCTA CCCCGGGG L3 ================================================ FILE: tests/input/TestSplitcodeLookupTable/sample_sheet_zero_reads.tsv ================================================ sample barcode_1 barcode_2 barcode_3 library_id_per_sample Sample4 TTTTAAAA CCCCGGGG ATATAT B2 ================================================ FILE: tests/input/TestTaxonomy/simple.m8 ================================================ M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 89.3 28 3 0 2 85 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 89.3 28 3 0 2 85 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 89.3 28 3 0 2 85 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 89.3 28 3 0 2 85 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 92.6 27 2 0 2 82 7 33 6.2e-08 63.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 92.6 27 2 0 2 82 7 33 1.4e-07 62.0 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 92.6 27 2 0 2 82 7 33 1.4e-07 62.0 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 85.7 28 4 0 2 85 7 34 4.0e-07 60.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 85.7 28 4 0 2 85 7 34 5.3e-07 60.1 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 85.7 28 4 0 2 85 7 34 5.3e-07 60.1 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 85.7 28 4 0 2 85 10 37 2.0e-06 58.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 32 59 3.4e-06 57.4 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 7 34 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 7 34 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 7 34 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 7 34 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 26 53 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 20 47 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 7 34 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 10 37 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 20 47 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 5 32 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 7 34 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 7 34 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/1 gi|1| 82.1 28 5 0 2 85 17 44 7.6e-06 56.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 89.3 28 3 0 85 2 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 89.3 28 3 0 85 2 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 89.3 28 3 0 85 2 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 89.3 28 3 0 85 2 7 34 4.8e-08 63.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 92.6 27 2 0 85 5 7 33 6.2e-08 63.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 92.6 27 2 0 85 5 7 33 1.4e-07 62.0 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 92.6 27 2 0 85 5 7 33 1.4e-07 62.0 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 85.7 28 4 0 85 2 7 34 4.0e-07 60.5 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 85.7 28 4 0 85 2 7 34 5.3e-07 60.1 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 85.7 28 4 0 85 2 7 34 5.3e-07 60.1 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 85.7 28 4 0 85 2 10 37 2.0e-06 58.2 M04004:13:000000000-AGV3H:1:1101:12068:2105/2 gi|1| 82.1 28 5 0 85 2 32 59 3.4e-06 57.4 M04004:13:000000000-AGV3H:1:1101:13451:2146/1 gi|1| 100.0 33 0 0 2 100 83 115 5.4e-11 73.6 M04004:13:000000000-AGV3H:1:1101:13451:2146/1 gi|1| 100.0 33 0 0 2 100 66 98 5.4e-11 73.6 M04004:13:000000000-AGV3H:1:1101:13451:2146/1 gi|1| 100.0 33 0 0 2 100 66 98 5.4e-11 73.6 M04004:13:000000000-AGV3H:1:1101:13451:2146/1 gi|1| 93.9 33 2 0 2 100 66 98 1.0e-09 69.3 M04004:13:000000000-AGV3H:1:1101:13451:2146/1 gi|1| 93.9 33 2 0 2 100 66 98 1.0e-09 69.3 M04004:13:000000000-AGV3H:1:1101:13451:2146/1 gi|1| 87.9 33 4 0 2 100 66 98 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1101:13451:2146/2 gi|1| 100.0 33 0 0 99 1 196 228 1.0e-09 69.3 M04004:13:000000000-AGV3H:1:1101:13451:2146/2 gi|1| 97.0 33 1 0 99 1 213 245 3.0e-09 67.8 M04004:13:000000000-AGV3H:1:1101:13451:2146/2 gi|1| 97.0 33 1 0 99 1 196 228 3.0e-09 67.8 M04004:13:000000000-AGV3H:1:1101:13451:2146/2 gi|1| 93.9 33 2 0 99 1 196 228 1.5e-08 65.5 M04004:13:000000000-AGV3H:1:1101:13451:2146/2 gi|1| 93.9 33 2 0 99 1 196 228 1.5e-08 65.5 M04004:13:000000000-AGV3H:1:1101:13451:2146/2 gi|1| 78.1 32 7 0 96 1 202 233 4.5e-05 53.9 M04004:13:000000000-AGV3H:1:1101:13509:2113/1 gi|1| 81.8 33 6 0 1 99 134 166 7.3e-08 63.2 M04004:13:000000000-AGV3H:1:1101:13509:2113/1 gi|1| 78.8 33 7 0 1 99 134 166 6.2e-07 60.1 M04004:13:000000000-AGV3H:1:1101:13509:2113/1 gi|1| 78.8 33 7 0 1 99 134 166 1.1e-06 59.3 M04004:13:000000000-AGV3H:1:1101:13509:2113/1 gi|1| 84.8 33 5 0 100 2 9 41 3.1e-06 57.8 M04004:13:000000000-AGV3H:1:1101:13509:2113/1 gi|1| 78.8 33 7 0 100 2 9 41 5.8e-05 53.5 M04004:13:000000000-AGV3H:1:1101:13509:2113/1 gi|1| 75.8 33 8 0 2 100 42 74 3.8e-04 50.8 M04004:13:000000000-AGV3H:1:1101:13509:2113/2 gi|1| 90.6 32 3 0 1 96 1 32 1.5e-08 65.5 M04004:13:000000000-AGV3H:1:1101:14644:2160/1 gi|1| 100.0 33 0 0 1 99 484 516 4.9e-12 77.0 M04004:13:000000000-AGV3H:1:1101:14644:2160/1 gi|1| 100.0 33 0 0 1 99 268 300 4.9e-12 77.0 M04004:13:000000000-AGV3H:1:1101:14644:2160/1 gi|1| 100.0 33 0 0 1 99 88 120 4.9e-12 77.0 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 100.0 33 0 0 100 2 356 388 7.8e-10 69.7 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 93.9 33 2 0 100 2 356 388 3.0e-09 67.8 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 90.9 33 3 0 100 2 356 388 2.5e-08 64.7 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.8 33 5 0 100 2 356 388 3.6e-07 60.8 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.4 32 5 0 97 2 357 388 6.2e-07 60.1 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 356 388 6.2e-07 60.1 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 356 388 6.2e-07 60.1 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 356 388 6.2e-07 60.1 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.8 33 5 0 100 2 286 318 8.1e-07 59.7 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.8 33 5 0 100 2 298 330 8.1e-07 59.7 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.4 32 5 0 97 2 357 388 8.1e-07 59.7 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.4 32 5 0 97 2 357 388 1.1e-06 59.3 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.4 32 5 0 97 2 357 388 1.1e-06 59.3 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 356 388 1.4e-06 58.9 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 356 388 1.8e-06 58.5 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 356 388 1.8e-06 58.5 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 352 384 1.8e-06 58.5 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.2 32 6 0 97 2 357 388 2.4e-06 58.2 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.2 32 6 0 97 2 357 388 2.4e-06 58.2 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.2 32 6 0 97 2 357 388 2.4e-06 58.2 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 84.8 33 5 0 100 2 356 388 2.4e-06 58.2 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.2 32 6 0 97 2 357 388 3.1e-06 57.8 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.2 32 6 0 97 2 136 167 3.1e-06 57.8 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.8 33 6 0 100 2 352 384 3.1e-06 57.8 M04004:13:000000000-AGV3H:1:1101:18179:2130/1 gi|1| 81.2 32 6 0 97 2 357 388 3.1e-06 57.8 M04004:13:000000000-AGV3H:1:1101:18179:2130/2 gi|1| 100.0 32 0 0 3 98 239 270 3.2e-08 64.3 M04004:13:000000000-AGV3H:1:1101:18179:2130/2 gi|1| 78.1 32 7 0 3 98 239 270 1.6e-04 52.0 M04004:13:000000000-AGV3H:1:1101:18179:2130/2 gi|1| 78.1 32 7 0 3 98 239 270 1.6e-04 52.0 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 100.0 33 0 0 101 3 138 170 5.4e-11 73.6 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 87.9 33 4 0 101 3 132 164 6.6e-09 66.6 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 87.9 33 4 0 101 3 138 170 1.9e-08 65.1 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 84.8 33 5 0 101 3 147 179 1.9e-08 65.1 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 84.8 33 5 0 101 3 138 170 7.3e-08 63.2 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 78.8 33 7 0 101 3 137 169 3.6e-07 60.8 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 78.8 33 7 0 101 3 142 174 3.6e-07 60.8 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 75.8 33 8 0 101 3 140 172 3.6e-07 60.8 M04004:13:000000000-AGV3H:1:1111:10629:2610/1 gi|1| 75.8 33 8 0 101 3 139 171 4.8e-07 60.5 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 97.0 33 1 0 99 1 96 128 1.0e-09 69.3 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 97.0 33 1 0 99 1 96 128 1.0e-09 69.3 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 97.0 33 1 0 99 1 96 128 1.0e-09 69.3 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 97.0 33 1 0 99 1 96 128 1.3e-09 68.9 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 97.0 33 1 0 99 1 96 128 3.0e-09 67.8 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 97.0 33 1 0 99 1 96 128 3.0e-09 67.8 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 M04004:13:000000000-AGV3H:1:1111:10629:26101/1 gi|1| 93.9 33 2 0 99 1 96 128 3.9e-09 67.4 ================================================ FILE: tests/input/TestToolKrakenExecute/empty-report.txt ================================================ 100.00 0 0 U 0 unclassified ================================================ FILE: tests/input/TestToolKrakenExecute/expected-kraken-mix.reads.txt ================================================ U gi|119508057|dbj|AB286861.1|_287_800_2:0:0_1:0:0_4 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_3290_3781_2:0:0_0:0:0_8 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_4601_5090_2:0:0_1:0:0_3 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_5358_5878_1:0:0_4:0:0_9 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_5999_6601_0:0:0_3:0:0_5 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_6324_6759_2:0:0_4:0:0_1 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_665_1133_3:0:0_4:0:0_2 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_6849_7314_0:0:0_4:1:0_6 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_6883_7438_3:0:0_1:0:0_0 0 203 P=0.000 0:71 A:31 0:71 U gi|119508057|dbj|AB286861.1|_9070_9569_1:0:0_0:0:0_7 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_1209_1703_1:0:0_0:0:0_8 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_2053_2542_1:0:0_2:0:0_7 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_2438_2927_2:0:0_2:0:0_6 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_270_736_6:1:0_3:0:0_2 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_3621_4066_2:0:0_0:0:0_5 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_3920_4406_1:0:0_1:0:0_4 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_4892_5368_2:0:0_1:0:0_0 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_4956_5479_4:0:0_1:0:0_1 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_6_495_2:0:0_1:0:0_3 0 203 P=0.000 0:71 A:31 0:71 U gi|18656709|gb|AF453389.1|_782_1446_4:0:0_1:0:0_9 0 203 P=0.000 0:71 A:31 0:71 C gi|190684443|gb|EU255973.1|_1943_2436_0:0:0_2:0:0_5 31646 203 P=0.775 31646:71 A:31 31646:1 0:32 31646:38 C gi|190684443|gb|EU255973.1|_2042_2576_2:0:0_3:0:0_2 31646 203 P=0.606 0:16 31646:48 0:7 A:31 0:31 31646:38 0:2 C gi|190684443|gb|EU255973.1|_3761_4305_2:0:0_1:0:0_8 31646 203 P=0.535 0:35 31646:36 A:31 31646:20 0:31 31646:20 C gi|190684443|gb|EU255973.1|_3769_4295_2:0:0_1:0:0_7 31646 203 P=0.718 0:37 31646:34 A:31 31646:68 0:3 C gi|190684443|gb|EU255973.1|_4554_5009_3:0:0_4:0:0_0 31646 203 P=0.408 31646:32 0:39 A:31 0:11 31646:8 0:34 31646:18 C gi|190684443|gb|EU255973.1|_4878_5402_4:0:0_3:0:0_1 31646 203 P=0.296 0:33 31646:28 0:10 A:31 0:26 31646:14 0:31 C gi|190684443|gb|EU255973.1|_5031_5460_2:0:0_3:0:0_3 31646 203 P=0.394 31646:6 0:33 31646:9 0:23 A:31 31646:41 0:30 C gi|190684443|gb|EU255973.1|_520_1046_4:0:0_3:0:0_4 31646 203 P=0.444 0:2 31646:18 0:38 31646:13 A:31 0:3 31646:32 0:36 C gi|190684443|gb|EU255973.1|_5255_5746_0:0:0_2:0:0_9 31646 203 P=0.761 31646:71 A:31 0:3 31646:19 0:31 31646:18 C gi|190684443|gb|EU255973.1|_5750_6229_1:0:0_1:1:0_6 31646 203 P=0.810 31646:56 0:15 A:31 31646:59 0:12 C gi|27085398|gb|AY184220.1|_1827_2229_3:0:0_2:0:0_7 12083 203 P=0.197 0:71 A:31 12083:28 0:43 C gi|27085398|gb|AY184220.1|_2385_2815_0:0:0_3:0:0_3 12083 203 P=0.845 12083:71 A:31 0:6 12083:49 0:16 C gi|27085398|gb|AY184220.1|_3263_3818_1:0:0_4:0:0_2 12083 203 P=0.408 12083:56 0:15 A:31 0:25 12083:2 0:44 C gi|27085398|gb|AY184220.1|_3457_3924_0:0:0_0:1:0_8 12083 203 P=0.782 12083:3 0:31 12083:37 A:31 12083:71 C gi|27085398|gb|AY184220.1|_3622_4164_2:0:0_3:0:0_5 12083 203 P=0.451 12083:47 0:24 A:31 0:38 12083:17 0:16 C gi|27085398|gb|AY184220.1|_3938_4518_2:0:0_3:0:0_1 12083 203 P=0.437 0:11 12083:8 0:31 12083:11 0:10 A:31 12083:43 0:28 C gi|27085398|gb|AY184220.1|_5760_6270_3:0:0_4:0:0_9 12083 203 P=0.408 0:17 12083:8 0:34 12083:12 A:31 12083:38 0:33 C gi|27085398|gb|AY184220.1|_6007_6457_2:0:0_2:0:0_6 12083 203 P=0.380 12083:4 0:60 12083:7 A:31 0:9 12083:43 0:19 C gi|27085398|gb|AY184220.1|_6350_6823_4:0:0_1:0:0_4 12083 203 P=0.408 12083:12 0:31 12083:28 A:31 0:53 12083:18 C gi|27085398|gb|AY184220.1|_889_1388_2:0:0_0:0:0_0 12083 203 P=0.908 0:2 12083:58 0:11 A:31 12083:71 U gi|342360485|gb|JF799977.1|_1149_1707_1:0:0_2:0:0_1 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_1814_2294_1:0:0_2:0:0_2 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_2596_3175_2:0:0_1:0:0_3 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_3238_3701_1:0:0_2:0:0_0 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_4618_5119_2:0:0_5:0:0_5 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_5061_5547_2:0:0_3:0:0_8 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_548_970_1:0:0_2:0:0_6 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_5967_6490_3:0:0_1:0:0_7 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_6163_6614_2:0:0_0:0:0_9 0 203 P=0.000 0:71 A:31 0:71 U gi|342360485|gb|JF799977.1|_645_1178_4:0:0_1:0:0_4 0 203 P=0.000 0:71 A:31 0:71 C gi|612340474|gb|KJ207374.1|_1477_2003_0:0:0_2:0:0_3 12253 203 P=0.746 0:5 12253:12 0:31 12253:23 A:31 12253:71 C gi|612340474|gb|KJ207374.1|_1674_2176_0:0:0_4:0:0_6 12253 203 P=0.599 12253:71 A:31 0:8 12253:6 0:31 12253:8 0:18 C gi|612340474|gb|KJ207374.1|_2168_2657_6:0:0_1:0:0_9 12253 203 P=0.465 12253:48 0:23 A:31 0:18 12253:18 0:35 C gi|612340474|gb|KJ207374.1|_3065_3466_4:0:0_2:0:0_0 12253 203 P=0.211 12253:4 0:53 12253:14 A:31 0:11 12253:12 0:48 C gi|612340474|gb|KJ207374.1|_306_843_1:0:0_3:0:0_7 12253 203 P=0.415 0:22 12253:8 0:31 12253:2 0:8 A:31 0:22 12253:49 C gi|612340474|gb|KJ207374.1|_3683_4217_2:0:0_1:0:0_4 12253 203 P=0.493 12253:15 0:41 12253:15 A:31 12253:31 0:31 12253:9 C gi|612340474|gb|KJ207374.1|_4011_4502_2:0:0_1:0:0_1 12253 203 P=0.718 0:8 12253:63 A:31 0:24 12253:39 0:8 C gi|612340474|gb|KJ207374.1|_4199_4745_2:0:0_1:0:0_5 12253 203 P=0.549 0:26 12253:45 A:31 0:38 12253:33 C gi|612340474|gb|KJ207374.1|_4819_5287_2:0:0_1:0:0_8 12253 203 P=0.577 0:29 12253:42 A:31 12253:9 0:31 12253:31 C gi|612340474|gb|KJ207374.1|_5508_5966_1:0:0_2:0:0_2 12253 203 P=0.754 0:6 12253:65 A:31 12253:42 0:29 C gi|743485545|gb|KM609478.1|_1615_2117_3:0:0_1:0:0_7 42788 203 P=0.585 0:3 42788:25 0:43 A:31 0:13 42788:58 C gi|743485545|gb|KM609478.1|_2826_3319_1:0:0_3:0:0_2 42788 203 P=0.366 0:29 42788:42 A:31 0:29 42788:8 0:31 42788:2 0:1 C gi|743485545|gb|KM609478.1|_3526_4103_2:0:0_1:0:0_0 42788 203 P=0.586 A:31 0:2 42788:38 A:31 0:44 42788:27 C gi|743485545|gb|KM609478.1|_369_845_2:0:0_1:0:0_3 42788 203 P=0.514 0:38 42788:33 A:31 42788:18 0:31 42788:22 C gi|743485545|gb|KM609478.1|_382_889_0:0:0_4:0:0_5 42788 203 P=0.585 42788:64 12059:4 42788:3 A:31 0:23 42788:16 0:32 C gi|743485545|gb|KM609478.1|_4745_5304_2:0:1_2:0:0_6 42788 203 P=0.289 0:25 42788:22 0:24 A:31 0:52 42788:19 C gi|743485545|gb|KM609478.1|_5348_5900_1:0:0_0:0:0_8 42788 203 P=0.958 42788:71 A:31 0:6 42788:65 C gi|743485545|gb|KM609478.1|_5470_5974_3:0:0_0:0:0_9 42788 203 P=0.746 42788:27 0:31 42788:8 0:5 A:31 42788:71 C gi|743485545|gb|KM609478.1|_6345_6872_6:0:0_1:0:0_4 42788 203 P=0.514 42788:55 0:16 A:31 0:25 42788:18 0:28 C gi|743485545|gb|KM609478.1|_6742_7260_0:0:0_4:1:0_1 42788 203 P=0.599 42788:71 A:31 0:17 42788:6 0:31 42788:8 0:9 U gi|84873482|gb|DQ340570.1|_1463_1926_0:0:0_2:0:0_9 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_1707_2126_2:0:0_1:0:0_8 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_2025_2506_1:0:0_0:0:0_7 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_2139_2695_2:0:0_2:0:0_6 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_2153_2689_1:0:0_0:0:0_3 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_4041_4516_4:0:0_4:0:0_5 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_4075_4604_4:0:0_4:0:0_0 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_4234_4682_4:0:0_3:0:0_4 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_4473_4946_0:0:0_1:0:0_1 0 203 P=0.000 0:71 A:31 0:71 U gi|84873482|gb|DQ340570.1|_4665_5136_2:0:0_3:0:0_2 0 203 P=0.000 0:71 A:31 0:71 C gi|89519418|gb|DQ418789.1|_126_590_3:0:0_3:0:0_1 31646 203 P=0.197 0:43 31646:28 A:31 0:71 U gi|89519418|gb|DQ418789.1|_1964_2513_0:0:0_2:0:0_9 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_3586_4097_3:0:0_3:0:0_3 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_4944_5550_1:0:0_2:0:0_2 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_6966_7530_0:0:0_2:0:0_5 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_7070_7507_1:0:0_0:0:0_6 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_7588_8095_3:0:0_0:0:0_7 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_8011_8531_4:0:0_1:0:0_8 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_8423_8836_3:0:0_3:0:0_0 0 203 P=0.000 0:71 A:31 0:71 U gi|89519418|gb|DQ418789.1|_8544_9076_4:0:0_2:0:0_4 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_1813_2413_2:0:0_1:0:0_8 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_2622_3050_4:0:0_1:0:0_7 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_2783_3283_3:0:0_5:0:0_6 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_2869_3356_0:0:0_2:0:0_9 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_2997_3500_1:0:0_3:0:0_3 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_3772_4274_2:0:0_1:0:0_4 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_4358_4818_4:0:0_0:0:1_2 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_662_1078_2:0:0_3:1:0_5 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_680_1169_2:0:0_4:0:0_1 0 203 P=0.000 0:71 A:31 0:71 U human_5000bp_826_1283_1:0:0_2:0:0_0 0 203 P=0.000 0:71 A:31 0:71 ================================================ FILE: tests/input/TestToolKrakenExecute/expected-kraken-mix.report.txt ================================================ 59.00 59 59 U 0 unclassified 41.00 41 0 - 1 root 41.00 41 0 D 10239 Viruses 41.00 41 0 - 439488 ssRNA viruses 41.00 41 0 - 35278 ssRNA positive-strand viruses, no DNA stage 20.00 20 0 O 464095 Picornavirales 20.00 20 0 F 12058 Picornaviridae 20.00 20 0 G 12059 Enterovirus 10.00 10 0 S 138948 Enterovirus A 10.00 10 10 - 42788 Coxsackievirus A8 10.00 10 0 S 138950 Enterovirus C 10.00 10 10 - 12083 Human poliovirus 2 11.00 11 0 F 11050 Flaviviridae 11.00 11 0 G 11102 Hepacivirus 11.00 11 0 S 11103 Hepatitis C virus 11.00 11 0 - 41856 Hepatitis C virus genotype 1 11.00 11 11 - 31646 Hepatitis C virus subtype 1a 10.00 10 0 F 675071 Virgaviridae 10.00 10 0 G 12234 Tobamovirus 10.00 10 10 S 12253 Tomato mosaic virus ================================================ FILE: tests/input/TestToolPicard/in.dict ================================================ @HD VN:1.4 @SQ SN:from_chr9 LN:57 UR:file:/Users/dpark/dev/viral-ngs/test/input/TestToolPicard/in.fasta M5:e619b7ec4224c26f20993903b80e1c8e @SQ SN:from_ebov_1 LN:50 UR:file:/Users/dpark/dev/viral-ngs/test/input/TestToolPicard/in.fasta M5:9d0d8dcb3f1cfcb203ceab0c23a24358 @SQ SN:from_chr1 LN:50 UR:file:/Users/dpark/dev/viral-ngs/test/input/TestToolPicard/in.fasta M5:5046b0acf637bca46fbafb571e4fc991 @SQ SN:from_ebov_2 LN:50 UR:file:/Users/dpark/dev/viral-ngs/test/input/TestToolPicard/in.fasta M5:42819f6a988627298972d9585e8d890b ================================================ FILE: tests/input/TestToolPicard/in.fasta ================================================ >from_chr9 AGCTCTGACCCTGGCCAATCATGGCACTGACCTATGCCACCATATGGGGG CCCCCCC >from_ebov_1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC >from_chr1 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT >from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC ================================================ FILE: tests/input/TestToolPicard/messy-headers.fasta ================================================ >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-1 CTGGAGCAAGACAAATGATGCCGGATCAGATCGAGTGATGGTATCACCCCTGGCTGTGAC ATGGTGGAATAGGAATGGACCAACAACAAGTACAATTCACTATCCAAAGGTATACAAAAC AAAGGGAGAGAAGGCTAATGTGCTAATTGGGCAAGGAGACGTGGTGTTGGTGATGAAACG GAAACGGGACTCTAGCATACTTACTGACAGCCAGACAGCGACCAAAAGAATTCGGATGGC CATCAATTAGTGTGGAATTGTTTAAAAACGACCTTGTTTCTACT >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-2 CGAAAGCAGGCAAACCATTTGAATGGATGTCAATCCGACCTTACTCTTCTTGAAAGTTCC AGCGCAAAATGCCATAAGCACCACATTCCCGTATACTGGAGATCCTCCATACAGCCATGG ACGGATTAAGAAGGAGGAGTTTGCTGAGATCATGAAGATCTGTTCCACCATTGAAGAGCT CAGACGGCAGAAATAGTGAATTTAGCTTGTCCTTCATGAAAAAATGCCTTGTTTCTACT >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-3 AAGCAGGTACTGATTCAAAATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATTGT CGAGCTTGCGGAAAAAGCAATGAAAGAACATGGGGAAGATCCGAAAATCGAGACAAACAA GATTAACGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGC ACTGAAATAGTTGTGGCAATGCTACTATTTGCTATCCATACTGTCCAAAAAAGTACCTTG TTTCTACT >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-4 GCAGTGTAGCTGGATGGCTCCTCGGAAACCCAATGTGCGACGAATTCATCAGAGTGCCGG AATGGTCTTACATAGTGGAGCGGGCTAACCCAGCTAATGACCTCTGTTACCCAGGGAGCC TATCTTTATGGATGTGCTCCAATGGGTCGTTACAATGCAGAATTTGCATTTAGATTTATG AGCTCAGATTGTAGTTAAAAACACCCTTGTTTCT >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-5 AAGCAGGGTAGATAATCACTCACTGAGTGACATCCACATCATGGCGTCTCAAGGCACCAA ATCTGTTGGAAGAATGGTTGGCGGAATCGGGAGATTCTACATACAGATGTGCACTGAGCT GGACGAAAAGGCAACGAACCCGATCGTGCCTTCCTTTGACATGAACAATGAAGGATCTTA TTTCTTCGGAGACAATGCAGAGGAGTATGACAATTAAAGAAAAATACCCTTGTTTCTACT >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-6 CGGGCAATTCATCTCTTTGCCCTATTAGTGGGTGGGCAATATACAGTAAGGACAACGGTA TAAGAATTGGATCTAAGGGGGATGTGTTTGTTATAAGAGAACCATTCATCTCATGCTCCC GTGGTGTAAATAGTGACACTGTGGGTTGGTCTTGGCCAGACGGTGCTGAGTTGCCATTCA CCATTGACAAGTAGTTTGTTCAAAAAACTCCTTGTTTCTACT >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-7 AAGCAGGTAGATATTGAAAGATGAGTCTTCTAACCGAGGTCGAAACGTACGTTCTCTCTA TCGTCCCGTCGGGCCCCCTCAAAGCCGAGATCGCGCAGAGACTTGAAGATGTCTTTGCAG GGAAGAACACCGATCTTGAGGCTCTCATGGAATGGCTAAAGACAAGACCAATCCTGTCAC CTCTGACCAAGGGGATTTTGGGATTTGTGTTCACGCTCACCGTGCCCAGTGAGCGAGGAC CT >Influenza A virus A/bovine_milk/USA/Broad_MC_023/2024(H5N1))-8 AGCDGGGTGACAAAAACATAATGGATTCCAACACTGTGTTAAGCTTTCAGGTAGACTGCT TTCTTTGGCATGTCCGCAAACGATTTGCAGACCAAGAACTGGGTGATGCCCCATTCCTTG TCGAGACGGCCACTCGTGCTGGGAAGCAGATAGTGGAGAGGATTCTGGAGGAAGAATCCG TCGTTTCAGCTTATTTAATAATAAAAAACACCCTTGTTTCTACT ================================================ FILE: tests/input/TestToolPicard/simple.sam ================================================ @HD VN:1.4 SO:queryname @RG ID:A PL:9.75 LB:Alexandria SM:FreeSample CN:KareemAbdul-Jabbar myseq 77 * 0 0 * * 0 0 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT """""""""""""""""""""""""""""""""""""""""""""""""" RG:Z:A myseq 141 * 0 0 * * 0 0 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT "#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"# RG:Z:A ================================================ FILE: tests/input/TestToolSamtools/in.fasta ================================================ >from_chr9 AGCTCTGACCCTGGCCAATCATGGCACTGACCTATGCCACCATATGGGGG CCCCCCC >from_ebov_1 GTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCAC >from_chr1 AAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGTTTTGAATTTT >from_ebov_2 CCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTC ================================================ FILE: tests/input/TestToolSamtools/in.fasta.fai ================================================ from_chr9 57 11 50 51 from_ebov_1 50 83 50 51 from_chr1 50 145 50 51 from_ebov_2 50 209 50 51 ================================================ FILE: tests/input/TestToolSamtools/indel_cigar.sam ================================================ @HD VN:1.4 GO:none SO:coordinate @SQ SN:Mock1-1 LN:15357 AS:assembly.nix @RG ID:APCJ3.1 DT:2016-06-30T20:00:00-0400 PU:APCJ3.1.TAGGCATG-GCGTAAGA LB:Mock1 SM:Mock1 CN:M04004 PL:illumina APCJ3:1:2108:7502:10921 163 Mock1-1 179 70 101M = 370 292 GGTGAGGAGGGTTCAATTCCGCCGGAGACTTTAAAGTCAGCAGTCAAAGTCTTCGTTATTAACACACCCAATCCCACCACACGCTATCAGATGCTAAACTT ABAAAEEECCCBGFGGGGFFGFGGGGGGGHHHHHHHHHHHGHHHGHHHHGHHHHGHHHHHHHGHHHGGGGHHGGHHHFHGHGGGGGGFHGHHGGHHHHGHH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:31 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2103:11736:25696 99 Mock1-1 227 70 101M = 522 396 GTCTCCGTTCTTAACACACCCAATCCCACCACACGCTATCAGATGCTAAACTTTTGCCTAAGAATAATCTGCAGTCAAAATGCTAGGGCATCTCACAGGGT ABABADBCEFCFGGFGGGFFFGHHGGGHGFHGHGGGGGGGHHHHHHGHHGHHHHHGHHHHHHHHHHHHGHHGHHHHHHHHHHGHHGHHFGHHHGHGHHGGH LB:Z:Mock1 MC:Z:101M MD:Z:4T4A91 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:2 SM:i:70 MQ:i:70 PQ:i:65 UQ:i:60 AS:i:60 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2108:7502:10921 83 Mock1-1 370 70 101M = 179 -292 GCAAAACCATATTAGATTAGCAGATAGATCACCTGAAGCTCAGATAGAACGCTGTGAGATGGATGGTTTTGAGCCTGGTACATATAGGCTGATTCCAAATG GGGHHHHHHHHHHHHHHHHGHHGHHHHHHHHHHHHHHGHHHHHHHGGGGGHHHHHHHHHHGGHHGHHHHHGHGGHHGGHGGGGGGGFFGFEFFFEECCCCA LB:Z:Mock1 MC:Z:101M MD:Z:60T40 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:1 SM:i:70 MQ:i:70 PQ:i:31 UQ:i:30 AS:i:30 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2103:11736:25696 147 Mock1-1 522 70 101M = 227 -396 ATGACCTCCCTCCAACCATAAATAATGGAACTCCTTACGTACATGCAGATGTTGAAGGACAGCCATGTGATGAGATTGAGCAATTCCTGGATCGGTGTTAC HHFEEFCGGGBFFGGHGHGHHHHHGHHGHHGGGHHGHGGHHGHHHGHHHHHGHHHHGHHGHGHHHHGHGHHGHHHHHGHFGGGGGGGGFCCCCCEE@ABAA LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:65 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1108:7756:11224 99 Mock1-1 1469 70 101M = 1688 320 TTCCAAAATGGAGTACAAGTACCAGCTGTAAGACAGGGAGGTCAAACTGACTTTAGAGCACAGCCTTTACAAGATCCAATTCAAGCACAACTTTTCATGCC AA@ACEEDEFFFGGGFGGGGGFHHHHHHHHHHHHHHGGGGGGGHHHHHGHHHHHHGHGHHGHGGHHHHHGHHHHHHHGHHHGHHGHHFHHEHHHHGHHGGG LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:0 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1108:7756:11224 147 Mock1-1 1688 70 101M = 1469 -320 GCAAGGGGCGAACACGGAAACACTTTCCCAAACAATCCCAATCAAAACGCACAGTTGCAAGTGGGCGACTGGGATGAGTAAATCACTGACATGATCAAACT FGGHFFFFGHHHFHFGGHHHHGHHGGGGHHHHHHHEGGHHHGHGGGGFHGHGHHHHGHHHGGGGGGGHGHGGHHHHHHHGGGGGGGGFGFFFEEEEAAAA3 LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:0 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2109:24360:19858 163 Mock1-1 2015 70 1I100M = 2172 258 AATCATTTCCTATCCGCCCCCATTCAGGGAACCAACTCGCTGAGCAAGGCCTCAATCATCCCTGGCGTTGCACCTGTACTCATTGGCAATCCAGAGCAAAA BCCABDEEEEFFGFFGGGFFFGHHGHHHHGHFGHHGHHGFGGGHGHHHGHHHGHHHHHHGGGHGGHGGGGFHGGHHHHGHGHHHGHHHHHFHHGHGGHHHH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:0 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2109:24360:19858 83 Mock1-1 2172 70 100M1I = 2015 -258 CAGGGGTCAGGTCCATCATAGTCCCACCCTCCGAAGCAGGCAATGGAGGGACTCAGATTCCTGAGCCCCTTTTTGCACAAACAGGACAGGGTGGTATAGTC FGFGGGHHHHFHGHFGGHHHF1GGFFGGGGGGGHHHHHGGHHHHGGHHHHHHHHGHHHHHHHHGGGGGGHHHHHGHHHHGGGGGGGGGFBEFFEEDCCABB LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:0 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1103:11564:16446 99 Mock1-1 2520 70 1I99M1I = 2653 234 ACCCTATATGCTCACCTATCACTGCCGCAGCAAGATTCCACTCCTGCAAATGTGGGAATTGCCCCGCAAAGTGCGATCAGTGCGAACGAGATTATGGACCT BAAACEFFEEEFEGEEGGGEGFHHGGGGGGFHHHHHHGGHFGGGHHHHHHHGHGGFHHHHGHGGGGGGGGHGHHGGGFGHHHGGGGGGGFGFGHGHHHFFG LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1103:11564:16446 147 Mock1-1 2653 70 101M = 2520 -234 TTGAACAAAAGGTGGACAAGGTGCTTGCACAGGGCAGCATGGTGACCCAAATAAAGAATGAATTATCAACAGTAAAGACAACATTAGCAACAATTGAAGGG GGGGGGHHHHFFHFGHGHHHFGFGHHGHGHHFE3HHHGHHFHHHGFFGHHGHGGHHHHGHHHGHHHGGGHHGHHHHHHGGGFGFGGFGGFFFEFFEBBAAA LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2107:14341:17176 163 Mock1-1 5018 70 50M1I50M = 5208 291 CAATACAAGACCATATCAATACTATTATGAACACCCAATTGAACAATATGTCTTGTCAGATCCTTGATAACCAGCTTGCAACCTCCCTAGGATTATACCTA ACCCBDEEFFEFGGGGGGGGGFHHHHHHHHHGHGGGGHHHHHHHHHHHGHHHHHGHHHHHHGGHIHHHHHFEHHHHHHGHHGFHHHGHHGFHHHHHHGGHH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2107:14341:17176 83 Mock1-1 5208 70 101M = 5018 -291 TATGACACCTGCAGTGGTTCAAGCAACATTATCTACCTCAATTTCTGCTGCTGAAATACTAAGTGCCGGTCTAATGGAGGGTCAGATAGTTTCTGTTCTGC HHHGHHFHHHFGHFHHHHHHHHGHHHGHHHHHHHGHHHHHHHHHGHHGHHGHHGGHHHHHHHGGGGGHHHHHHHHGGHHFFGGGGGGGFFFFFFDEBCCBC LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1103:22054:22192 163 Mock1-1 5340 70 101M = 5604 365 CATTCCAACCATTGTCACACAATCAAATGCATTGGTGATTGACTTCTACTCAATTTCGAGTTTTATTAATAATCAAGAATCCATAATTCAATTGCCAGACA ACCCBEFFFDDFGGGGGGFFGGHGHHHHHGHHHGGHGHHHGGGHHHHHHHHHHHHHHGGGGFHHGHHGHHHHHGHGHHHHGHGHHHHHEHHHHGGGHGGFG LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1103:22054:22192 83 Mock1-1 5604 70 101M = 5340 -365 AGGGAGTTATATGAGGCGATTTGTAGCACTGGATGGAACAATTGTTGCAAACTGTCGAAGTCTAACGTGTCTATGCAAGAGTCCATCTTATCCTATATACC GGGGHGHHHHHHEGGGGHHHHHFGHHHHHHGHHHHGHHGHHGHHHHHGHHHGGFHGGHHGHGHHHGHHHHHHHHHHHHHGFGGGGGFGGFFEFFEEAAABA LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1113:17899:25240 163 Mock1-1 6364 70 101M = 6630 367 GCACTGTACCAGCGATCCTGCTCTCGCTGGGGTTTTGATCAATCACTCTAGAAAGATCCCCAGTTAGGACAAGTCCCGATCCGTCACGCTAGAACAAGCTG AA@@BEEFEEFFFGGGGGGGFGHHHGGGGGGGEGGGHGGHGHHHHGHHGHGHHHHHHGGGFHFHHHGHHHHHHGHHHGGGFGHGHGGGFGGFHHFHHHGHG LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1113:17899:25240 83 Mock1-1 6630 70 101M = 6364 -367 TTGCACCTGGACCTGTTGTTAATGCGGCTGGTAAGAAGACATTCCGAACCAGTTTCCGAATATTGGTCCTATCTGTACAAGCCGTTACCCTTATATTGGTT HFBF3G33GA3C2F?GF3G3E=0E@FBADF55GD5FEED31FAEA5F5G55BGFDGF5FDGCF2GB3GA@5D455FAGGGFGGGGGGGGFFFEFEBBAABB LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1103:15883:9960 129 Mock1-1 7517 70 101M = 7764 248 GGAATATATTTCGAAAATAAGTTGATCTTTCCTGCATATGGGGGTGTCTTGCCCAATAGTACACTAGGAGTTAAATCAGCAAGAGAATTTTTCCGGCCCGT CCBBBFEFFFFEGGGGGGFFGGHHGHHHHHGGHGHHHHHGGHGGGFGHHHGHGGHHHHGHHGHFHGGHHHHHHHHGHHHGHGHHGHHHHHHHGGFFFFFFF LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1103:15883:9960 65 Mock1-1 7764 70 101M = 7517 -248 AGCTAGTTGTCCCCTCAAACAATCAGACACTGATGGGTGCAGAAGGAAGAGTTTTATTGATCAATAATCGGCTATTATATTATCAGAGGAGTACTAGCTGG BBBBBEEEFFFFFFGFGGGFGGHHHHHGHGHHGHHHHHGFHHHHHHHHHHGHHHHHHHHGHGHHHHHHHFGFGGHHGHHHHHHHHHGHFHFHHHHGHGHGG LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2101:18746:24157 99 Mock1-1 8318 70 101M = 8503 286 AGATTGACCATCACTTGAGTTGTAGTGAATGTAGCAGGAAGCTTTATGGGCGTGTCTCATTTCTTATCGATTATTAAGAAAAAACAGGCCAGAATGGCGGG AA?@@EEEFFFEFEFGFGFBGFAGFFFHHHHHHHHFGEGHGGHFGHGFGHHEGFGGHHFHHHGFHHHFE1FEEHFHHHHHHHHCGHHHFFHFHHHFFFFB? LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2101:18746:24157 147 Mock1-1 8503 70 101M = 8318 -286 GTTACCAAATGATTTGGAGCCAGATGACTTGGGCCCATTAGCAAATCAGAATTGGAAGGCAATTCGAGCTGAAGAATCCCAGGTTCATGCACGGTTAAAAC FGHGHFHHHHGGHFFGHHGEHHGHHHHGAGFGGF5HHHHHGFFGHHGGAHHHHHHHHHGFHHFGEHHGGHCHHHEGFGFFGFFBGGGGFAADEEEEA@@>= LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1102:8829:24118 163 Mock1-1 10946 70 101M = 11078 233 GGTCGAATCTTGACTCAAGCGTTAAAGAACGTGAGCAAGATGTGCTTAACAGCTGATATACTGGGGGATTGTTCACAAGCATCATGCTCCAATTTAGCTAC AAA?@CBEBFFDFFFBGFGGFGGGGHHHHGDAFGEHFHGEHGFGHHEFHGHFGHGHGHHHFGHGFFFFGHHHGGHHHGGFGHGHHGFGFFHHHHHGGFGGE LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1102:8829:24118 83 Mock1-1 11078 70 101M = 10946 -233 GAGAAAGATTTGTGTTATTTCCTAAATGCATTCATGACAATTAGACAATTATGTTATGATCTAGTATTTCCCCAAACTAAATCTCTTAGTCAGGACATTAC GGFHGHFGGGHFHEHHHHHHGHHGGGHHHHHHGHHGHGHGGHFHHGHHHHHHHHHHHGGHHFFGHHEGGGGGHHHGHHFGGFGGFGGGEFFFFFFDAAAAA LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2110:27666:9079 177 Mock1-1 13147 70 3S98M = 13498 355 AGAAATGTGGGGAACCAAGCAGGTGTTGACCAACATTTCTCAAGGTATCGATTATGAGATAGTTGTTCCTTCTGAAAGCCAACTTACACTCAGTGATAGAG HFHFHGFHG@3EGFGGFFGFGDFHGGA51HHFHHHFHAHEBHHGGHHHGHHHHGGGEBGGHGGCFHGGGFHHHHHGHGGGGGGGGGGGGFFFEFEDBA@A@ LB:Z:Mock1 MC:Z:101M MD:Z:98 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:30 AS:i:30 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2110:27666:9079 113 Mock1-1 13498 70 101M = 13147 -355 TCGAGACTCTGAAGAAGGACAATTCCTGATTGCATCCTATTATAACAGTTTTGGATATCTGGAACCGATATTAATGGAATCTAAAATATTCAATCTAAGTT HGGHHHHHHHFHHFHHGGHHHHHFFHHGHHHGHHHHHIIIIIGHHGHHHGHHHHGHHHHHFFGGGGHHHHHGHHHGGHHGGGGGGGGGGFFFEFEEBAACA LB:Z:Mock1 MC:Z:3S98M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2111:11117:17348 99 Mock1-1 13725 70 101M = 13815 191 CTCAACCCCCACTTCATCACGTTCTCAGACCACTAGGTTTGTCATCCACCTCATGGTATAAAACAATCAGTGTTTTGAATTATATTAGCCATATGAAGATA ADBBCDDDEDCEGGFGGGGFGGHGGGHHHGGHHHHHHHHHGHHHHHHHHHHHHHGGHHHHHHHGHHHHHHHHGHHHHGHHHHHHHHHHFFHHHHHHHHHHH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2111:11117:17348 147 Mock1-1 13815 70 101M = 13725 -191 ATATGAAGATATCTGACGGTGCCCATCTATACTTGGCAGAGGGAAGTGGAGCCTCTATGTCACTTATAGAGACTTTCTTGCCCGGGGAAACCATATGGTAC HHHGGHHGHHHHGGGHGGGHGHGHHHHHHHGHHHHHHHGHGGGHHGHGGHGGHHHHHGGHGGHHHHHHGHFHHHHHGGGFGGGGGFFGGFFFFFEE@ABAA LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1113:22664:16558 99 Mock1-1 14556 70 101M = 14687 232 AAGTTATATCAGAGTGTGTCAGAGATCAATATCTGGCAGACAACAACATTATCCTCCAGGCGGGAGGTACTCCAAGCACAAGAAAATGGTTGGATCTGCCT BBCABEEFEFFFGGGGGGGFGGHHHHGHHHHHHHHHHHGGGHHHHHHHGGHHHHHGHHHGGGGGGGGEHGHGGHHHGHGHHHHHHHHHGHHFGHHGHHGGH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:0 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1107:13139:14438 163 Mock1-1 14602 70 101M = 14839 338 CATTATCCTCCAGGCGGGAGGTACTCCAAGCACAAGAAAATGGTTGGATCTGCCTGACTATTCTTCGTTCAATGAACTACAATCTGAAATGGCCAGACTCA @CBBBDEEFEEFGGFGGGGGGEHHHHHHHHGHHHHGHHHGHHHHHGGHHHHGHHHGHHHHHHGHHGGHHGHHHHHHHHHFHHHHHGGHHHGGGGHGHFGFH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1113:22664:16558 147 Mock1-1 14687 70 101M = 14556 -232 GAAATGGCCAGACTCATAACAATTCATCTTAAAGAGGTAATAGAAATCCTAAAGGGCCAGGCATCAGATCATGACACCCTATTATTTACTTCATACAATGT FHHHHGGGGHFHGHGHHHHHHHHHHHHHHHHHHHHGGIHHHHHIHHHGGHHGGHGGHHHGGHHHHHHHHHHHHGFGHHHGGGGGGGGGGFFFFFEECBBAB LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:0 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1107:13139:14438 83 Mock1-1 14839 70 101M = 14602 -338 TCTTATGTATACTGTGAGGAACTGGTGTATCTTGCCTTCCCAAACTCGTCTCACCTTACGACAATCTATCGAGCTTGGAGAGTTTAGACTAAGAGATGTGA GGHHHHGHHHHHHFHHHGGHHHHGHHHHHHGHHGGGHHFFGHGGFGFGHGHHHHHHHGGGHHHHHGHHGGGHFHHHHHHFGFGGGGFGGFFFFEEDCBBAC LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:1 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2105:7518:11719 177 Mock1-1 14946 70 101M = 14977 32 CCATGGAGATTCTAAAACTATCCCCCAACAGGAAATATCTAAAGTCTGCATTAAATCAATCAACATTCAACCATCTAATGGGAGAAACATCTGACATATTG 3@G535F5GD33@GGGBFHEGGEGHHHHFHFG5HGGHGGHHHFFDEHEHHGHGGHFHGGBGGGFGBFEHHHFHHHHFHHFFFGGGGGGGFFFEEEDAABB@ LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2105:7518:11719 113 Mock1-1 14977 70 101M = 14946 -32 GAAATATCTAAAGTCTGCATTAAATCAATCAACATTCAACCATCTAATGGGAGAAACATCTGACATATTGTTAAACCGAGCTTATCAGAAGAGAATTTGGA EFHHHHFFHHHHFHHHGGHHHHHHHHHHHHHHHHHHGHHGHGGGHHHHHHHGHGGHHHHHHGHHGHHGHGHHGGGGGGHFGGGGGGGFGFEFFEEEBBAAB LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1106:11985:11287 129 Mock1-1 14981 70 101M = 15013 33 TATCTAAAGTCTGCATTAAATCAATCAACATTCAACCATCTAATGGGAGAAACATCTGACATATTGTTAAACCGAGCTTATCAGAAGAGAATTTGGAAAGC AAA?AEEFFFEFGFFGGGGFGFHHHHHHHHHHHHHHHGHHHGHHHFHHGGHHHFHGHHHHHHGHHGHHHHHGGGBGGGHHHGFGHHGHGHHFGFEFFHHGF LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1106:11686:10415 99 Mock1-1 14982 70 101M = 15053 172 ATCTAAAGTCTGCATTAAATCAATCAACATTCAACCATCTAATGGGAGAAACATCTGACATATTGTTAAACCGAGCTTATCAGAAGAGAATTTGGAAAGCC BBBDDEEEEFFFFGGGGGGGFGHHHHHGHHHGHHHHGHGHHHHHHHHGGHHHHHHHGIIIIHHIHHHHHHGGGGGGGHHHFHHHHGHHHHHHHHHHHHGGG LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1106:11985:11287 65 Mock1-1 15013 70 101M = 14981 -33 CAACCATCTAATGGGAGAAACATCTGACATATTGTTAAACCGAGCTTATCAGAAGAGAATTTGGAAAGCCATCGGGTGTGTAATCTATTGCTTTGGTTTGC ABBA@BEFEFFFGGGGGGGGFGHHHHHGHHHHHHHHHHHGGGGGGGGHHHHGHHGHGHHHHHGGGHHHGGHHGGGGFEGGHHHHHHHHHHEHHHHHHHHFE LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 NM:i:0 MQ:i:70 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1105:10708:23204 99 Mock1-1 15033 70 101M = 15050 118 CATCTGACATATTGTTAAACCGAGCTTATCAGAAGAGAATTTGGAAAGCCATCGGGTGTGTAATCTATTGCTTTGGTTTGCTCACCCCGGATGTTGAAGAT ACCACEEFFFFFGGGGGGGFFGGGGGHHHGHHHHHHHHHHHHHHHHHHGHHHHFFFHFFFHHHHHHFHHHGHHHHHHHHGFHGHGHHEGGGGGHHHHHHHH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:5 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2112:16035:6267 163 Mock1-1 15036 70 101M = 15092 157 CTGACATATTGTTAAACCGAGCTTATCAGAAGAGAATTTGGAAAGCCATCGGGTGTGTAATCTATTGCTTTGGTTTGCTCACCCCGGATGTTGAAGATTCT @AAB@EEFFFFFGBGGGGCAEFGHHHHHGBDFFA23GGHHFGFFEGHGGHG?EHAGAGGHGGHGGHGHHHHHHHHHEGHGHGGHGGGGFFHHHHGFHHHGH LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:3 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1105:13024:17729 163 Mock1-1 15044 70 101M = 15164 224 TTGTTAAACCGAGCTTATCAGAAGAGAATTTGGAAAGCCATCGGGTGTGTAATCTATTGCTTTGGTTTGCTCACCCCGGATGTTGAAGATTCTGAGCGCAT BBBBBFFFEFCCGFGGGGFGGGHHHHHHHHHHHHHHHHHGHHGGGHGGGHHHHHHHHHGHHGHGGHHHGHHGHGGHGGGGGGHHGHHHHHHHGGHGFFEGG LB:Z:Mock1 MC:Z:64M3D37M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:7 NM:i:0 SM:i:70 MQ:i:70 PQ:i:100 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1105:10708:23204 147 Mock1-1 15050 70 101M = 15033 -118 AACCGAGCTTATCAGAAGAGAATTTGGAAAGCCATCGGGTGTGTAATCTATTGCTTTGGTTTGCTCACCCCGGATGTTGAAGATTCTGAGCGCATTGATGT GGFFGHGGHHHHGHGHHHHHHHGHHHGHHHHGGGGGFEFHGHGHHHHGHHHHHHHHHGHGGGHHGGGGGGGHGHHHHHGGGFGGGGGFGCCFFEFFABBAB LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:5 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1106:11686:10415 147 Mock1-1 15053 70 101M = 14982 -172 CGAGCTTATCAGAAGAGAATTTGGAAAGCCATCGGGTGTGTAATCTATTGCTTTGGTTTGCTCACCCCGGATGTTGAAGATTCTGAGCGCATTGATGTTGA FFGFGHHHHGHFHHGHGHHHHHFGHHHGGGGGGGGGHGHGHHHHGHHGHHGHHHGGHHHHHGGGGGFFHHHHHHHHHHGGGGGGGGFGFFFFFEEEABBAB LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:2 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:2112:16035:6267 83 Mock1-1 15092 70 101M = 15036 -157 GTAATCTATTGCTTTGGTTTGCTCACCCCGGATGTTGAAGATTCTGAGCGCATTGATGTTGATAATGACATACCCGATTATGATATTCACGGGGACATAAT FHHHHHFHHHFGHHHGGHHHGHFGEGGFGGGHHHHHHHHGHHHHGGGGGHHHHHHHHGHHGHHHHHHHHHGGGGGGGDFGGFGFGGCGGBBFEEDE@AAAA LB:Z:Mock1 MC:Z:101M MD:Z:101 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:70 NM:i:0 SM:i:70 MQ:i:70 PQ:i:3 UQ:i:0 AS:i:0 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA APCJ3:1:1105:13024:17729 83 Mock1-1 15164 70 64M3D37M = 15044 -224 CCCGATTATGATATTCACGGGGACATAATTTAAATCGACTAAAGACTCCTCTGGCATTACACATCAAAAAGTGCCAAACTAGCATCCAAATTCTTCTAAAC GGGGHHHHHHHHHGGFGGGGFFHHHHHHHHHGHGGGHHGIIHIGHFHFHHGHGHHHHHHHHHHGGHHHHHGHGGHHHHGGGFGGGGGGGFFFFFEEBBBBB LB:Z:Mock1 MC:Z:101M MD:Z:64^CAC37 PG:Z:MarkDuplicates.3 RG:Z:APCJ3.1 AM:i:7 NM:i:3 SM:i:7 MQ:i:70 PQ:i:100 UQ:i:100 AS:i:100 PU:Z:APCJ3.1.TAGGCATG-GCGTAAGA ================================================ FILE: tests/input/TestToolSamtools/simple.sam ================================================ @HD VN:1.4 SO:queryname @RG ID:A PL:9.75 LB:Alexandria SM:FreeSample CN:KareemAbdul-Jabbar myseq 77 * 0 0 * * 0 0 TCAATAAAAAAAAAAAAGAAAGAAAAAAAAATTCTCCTCATTTTTGTTGT """""""""""""""""""""""""""""""""""""""""""""""""" RG:Z:A myseq 141 * 0 0 * * 0 0 AATTATATTATTTCTTTGATAATTTCCTCTCCTCTTGTTTCTTTGTTTCT "#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"#"# RG:Z:A ================================================ FILE: tests/input/TestTrimRmdupSubsamp/clipDb.fasta ================================================ >NuGEN TCTATAGTTTAGGTAACTTTGTGTTTGA >TruSeq3_IndexedAdapter AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC >TruSeq3_UniversalAdapter AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA >PrefixPE/1 TACACTCTTTCCCTACACGACGCTCTTCCGATCT >PrefixPE/2 GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT >PE1_rc AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA >PrefixNX/1 AGATGTGTATAAGAGACAG >PrefixNX/2 AGATGTGTATAAGAGACAG >Trans1 TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG >Trans1_rc CTGTCTCTTATACACATCTGACGCTGCCGACGA >Trans2 GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAG >Trans2_rc CTGTCTCTTATACACATCTCCGAGCCCACGAGAC >TruSeq2_SE AGATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG >TruSeq2_PE_f AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT >TruSeq2_PE_r AGATCGGAAGAGCGGTTCAGCAGGAATGCCGAG >PCR_Primer1_rc AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTAGATCTCGGTGGTCGCCGTATCATT >PCR_Primer2 CAAGCAGAAGACGGCATACGAGATCGGTCTCGGCATTCCTGCTGAACCGCTCTTCCGATCT >PCR_Primer2_rc AGATCGGAAGAGCGGTTCAGCAGGAATGCCGAGACCGATCTCGTATGCCGTCTTCTGCTTG >FlowCell1 TTTTTTTTTTAATGATACGGCGACCACCGAGATCTACAC >FlowCell2 TTTTTTTTTTCAAGCAGAAGACGGCATACGA >TruSeq Universal Adapter AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT >TruSeq Adapter, Index 1 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATCACGATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 2 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGATGTATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 3 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTAGGCATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 4 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGACCAATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 5 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACAGTGATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 6 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCAATATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 7 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGATCATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 8 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACTTGAATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 9 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGATCAGATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 10 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTAGCTTATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 11 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGGCTACATCTCGTATGCCGTCTTCTGCTTG >TruSeq Adapter, Index 12 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTTGTAATCTCGTATGCCGTCTTCTGCTTG >Illumina Single End Adapter 1 ACACTCTTTCCCTACACGACGCTGTTCCATCT >Illumina Single End Adapter 2 CAAGCAGAAGACGGCATACGAGCTCTTCCGATCT >Illumina Paired End Adapter 2 CTCGGCATTCCTGCTGAACCGCTCTTCCGATCT >Illumina Paried End Sequencing Primer 1 ACACTCTTTCCCTACACGACGCTCTTCCGATCT >Illumina Paired End Sequencing Primer 2 CGGTCTCGGCATTCCTACTGAACCGCTCTTCCGATCT >Illumina Multiplexing Adapter 1 GATCGGAAGAGCACACGTCT >Illumina Multiplexing Index Sequencing Primer GATCGGAAGAGCACACGTCTGAACTCCAGTCAC >Illumina Multiplexing Read2 Sequencing Primer GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT >Illumina PCR Primer Index 1 CAAGCAGAAGACGGCATACGAGATCGTGATGTGACTGGAGTTC >Illumina PCR Primer Index 2 CAAGCAGAAGACGGCATACGAGATACATCGGTGACTGGAGTTC >Illumina PCR Primer Index 3 CAAGCAGAAGACGGCATACGAGATGCCTAAGTGACTGGAGTTC >Illumina PCR Primer Index 4 CAAGCAGAAGACGGCATACGAGATTGGTCAGTGACTGGAGTTC >Illumina PCR Primer Index 5 CAAGCAGAAGACGGCATACGAGATCACTGTGTGACTGGAGTTC >Illumina PCR Primer Index 6 CAAGCAGAAGACGGCATACGAGATATTGGCGTGACTGGAGTTC >Illumina PCR Primer Index 7 CAAGCAGAAGACGGCATACGAGATGATCTGGTGACTGGAGTTC >Illumina PCR Primer Index 8 CAAGCAGAAGACGGCATACGAGATTCAAGTGTGACTGGAGTTC >Illumina PCR Primer Index 9 CAAGCAGAAGACGGCATACGAGATCTGATCGTGACTGGAGTTC >Illumina PCR Primer Index 10 CAAGCAGAAGACGGCATACGAGATAAGCTAGTGACTGGAGTTC >Illumina PCR Primer Index 11 CAAGCAGAAGACGGCATACGAGATGTAGCCGTGACTGGAGTTC >Illumina PCR Primer Index 12 CAAGCAGAAGACGGCATACGAGATTACAAGGTGACTGGAGTTC >RNA PCR Primer, Index 1 CAAGCAGAAGACGGCATACGAGATCGTGATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 2 CAAGCAGAAGACGGCATACGAGATACATCGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 3 CAAGCAGAAGACGGCATACGAGATGCCTAAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 4 CAAGCAGAAGACGGCATACGAGATTGGTCAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 5 CAAGCAGAAGACGGCATACGAGATCACTGTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 6 CAAGCAGAAGACGGCATACGAGATATTGGCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 7 CAAGCAGAAGACGGCATACGAGATGATCTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 8 CAAGCAGAAGACGGCATACGAGATTCAAGTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 9 CAAGCAGAAGACGGCATACGAGATCTGATCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 10 CAAGCAGAAGACGGCATACGAGATAAGCTAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 11 CAAGCAGAAGACGGCATACGAGATGTAGCCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 12 CAAGCAGAAGACGGCATACGAGATTACAAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 13 CAAGCAGAAGACGGCATACGAGATTTGACTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 14 CAAGCAGAAGACGGCATACGAGATGGAACTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 15 CAAGCAGAAGACGGCATACGAGATTGACATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 16 CAAGCAGAAGACGGCATACGAGATGGACGGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 17 CAAGCAGAAGACGGCATACGAGATCTCTACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 18 CAAGCAGAAGACGGCATACGAGATGCGGACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 19 CAAGCAGAAGACGGCATACGAGATTTTCACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 20 CAAGCAGAAGACGGCATACGAGATGGCCACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 21 CAAGCAGAAGACGGCATACGAGATCGAAACGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 22 CAAGCAGAAGACGGCATACGAGATCGTACGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 23 CAAGCAGAAGACGGCATACGAGATCCACTCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 24 CAAGCAGAAGACGGCATACGAGATGCTACCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 25 CAAGCAGAAGACGGCATACGAGATATCAGTGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 26 CAAGCAGAAGACGGCATACGAGATGCTCATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 27 CAAGCAGAAGACGGCATACGAGATAGGAATGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 28 CAAGCAGAAGACGGCATACGAGATCTTTTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 29 CAAGCAGAAGACGGCATACGAGATTAGTTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 30 CAAGCAGAAGACGGCATACGAGATCCGGTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 31 CAAGCAGAAGACGGCATACGAGATATCGTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 32 CAAGCAGAAGACGGCATACGAGATTGAGTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 33 CAAGCAGAAGACGGCATACGAGATCGCCTGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 34 CAAGCAGAAGACGGCATACGAGATGCCATGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 35 CAAGCAGAAGACGGCATACGAGATAAAATGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 36 CAAGCAGAAGACGGCATACGAGATTGTTGGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 37 CAAGCAGAAGACGGCATACGAGATATTCCGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 38 CAAGCAGAAGACGGCATACGAGATAGCTAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 39 CAAGCAGAAGACGGCATACGAGATGTATAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 40 CAAGCAGAAGACGGCATACGAGATTCTGAGGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 41 CAAGCAGAAGACGGCATACGAGATGTCGTCGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 42 CAAGCAGAAGACGGCATACGAGATCGATTAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 43 CAAGCAGAAGACGGCATACGAGATGCTGTAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 44 CAAGCAGAAGACGGCATACGAGATATTATAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 45 CAAGCAGAAGACGGCATACGAGATGAATGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 46 CAAGCAGAAGACGGCATACGAGATTCGGGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 47 CAAGCAGAAGACGGCATACGAGATCTTCGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >RNA PCR Primer, Index 48 CAAGCAGAAGACGGCATACGAGATTGCCGAGTGACTGGAGTTCCTTGGCACCCGAGAATTCCA >Custom add, Illumina Paired End Adapter 2 GATCGGAAGAGCGGTTCAGCAGGAATGC >Nextera S501 AATGATACGGCGACCACCGAGATCTACACTAGATCGCTCGTCGGCAGCGTC >Nextera S502 AATGATACGGCGACCACCGAGATCTACACCTCTCTATTCGTCGGCAGCGTC >Nextera S503 AATGATACGGCGACCACCGAGATCTACACTATCCTCTTCGTCGGCAGCGTC >Nextera S504 AATGATACGGCGACCACCGAGATCTACACAGAGTAGATCGTCGGCAGCGTC >Nextera S505 AATGATACGGCGACCACCGAGATCTACACGTAAGGAGTCGTCGGCAGCGTC >Nextera S506 AATGATACGGCGACCACCGAGATCTACACACTGCATATCGTCGGCAGCGTC >Nextera S507 AATGATACGGCGACCACCGAGATCTACACAAGGAGTATCGTCGGCAGCGTC >Nextera S508 AATGATACGGCGACCACCGAGATCTACACCTAAGCCTTCGTCGGCAGCGTC >Nextera N711fw CAAGCAGAAGACGGCATACGAGATAAGAGGCAGTCTCGTGGGCTCGG >Nextera N703fw CAAGCAGAAGACGGCATACGAGATAGGCAGAAGTCTCGTGGGCTCGG >Nextera N708fw CAAGCAGAAGACGGCATACGAGATCAGAGAGGGTCTCGTGGGCTCGG >Nextera N710fw CAAGCAGAAGACGGCATACGAGATCGAGGCTGGTCTCGTGGGCTCGG >Nextera N702fw CAAGCAGAAGACGGCATACGAGATCGTACTAGGTCTCGTGGGCTCGG >Nextera N707fw CAAGCAGAAGACGGCATACGAGATCTCTCTACGTCTCGTGGGCTCGG >Nextera N709fw CAAGCAGAAGACGGCATACGAGATGCTACGCTGTCTCGTGGGCTCGG >Nextera N705fw CAAGCAGAAGACGGCATACGAGATGGACTCCTGTCTCGTGGGCTCGG >Nextera N712fw CAAGCAGAAGACGGCATACGAGATGTAGAGGAGTCTCGTGGGCTCGG >Nextera N701fw CAAGCAGAAGACGGCATACGAGATTAAGGCGAGTCTCGTGGGCTCGG >Nextera N706fw CAAGCAGAAGACGGCATACGAGATTAGGCATGGTCTCGTGGGCTCGG >Nextera N704fw CAAGCAGAAGACGGCATACGAGATTCCTGAGCGTCTCGTGGGCTCGG >Nextera N701 CAAGCAGAAGACGGCATACGAGATTCGCCTTAGTCTCGTGGGCTCGG >Nextera N702 CAAGCAGAAGACGGCATACGAGATCTAGTACGGTCTCGTGGGCTCGG >Nextera N703 CAAGCAGAAGACGGCATACGAGATTTCTGCCTGTCTCGTGGGCTCGG >Nextera N704 CAAGCAGAAGACGGCATACGAGATGCTCAGGAGTCTCGTGGGCTCGG >Nextera N705 CAAGCAGAAGACGGCATACGAGATAGGAGTCCGTCTCGTGGGCTCGG >Nextera N706 CAAGCAGAAGACGGCATACGAGATCATGCCTAGTCTCGTGGGCTCGG >Nextera N707 CAAGCAGAAGACGGCATACGAGATGTAGAGAGGTCTCGTGGGCTCGG >Nextera N708 CAAGCAGAAGACGGCATACGAGATCCTCTCTGGTCTCGTGGGCTCGG >Nextera N709 CAAGCAGAAGACGGCATACGAGATAGCGTAGCGTCTCGTGGGCTCGG >Nextera N710 CAAGCAGAAGACGGCATACGAGATCAGCCTCGGTCTCGTGGGCTCGG >Nextera N711 CAAGCAGAAGACGGCATACGAGATTGCCTCTTGTCTCGTGGGCTCGG >Nextera N712 CAAGCAGAAGACGGCATACGAGATTCCTCTACGTCTCGTGGGCTCGG >Broad Barcode tagged_57 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAAGTAGAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_100 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACACGATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_473 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGCGCGGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_373 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCATGATCGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_498 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGTTACCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_861 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCCTTGGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_23 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAACGCATTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_109 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACAGGTATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_218 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTAAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_3 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAACAATGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_163 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACTGTATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_220 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTCGCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_375 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCATGCTTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_726 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGGTCCAGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_880 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCTGGCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_214 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGATCTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_754 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCTGATGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_223 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTTATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_309 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAACTCTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_379 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCAACATTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_500 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTAACTCGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_291 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTCCTCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_504 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTACCAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_534 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTGCGGATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_630 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCACATCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_741 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTATAACAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_367 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCATAGCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_579 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACAGTAAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_938 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTACGCACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_745 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCATCTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_542 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTGTAATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_655 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCGTCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_732 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTAACATCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_567 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGAAGGAAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_584 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACCTAACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_117 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACCAACTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_908 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGCTCGACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_954 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTCGCTGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_357 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGGAGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_426 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCTATGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_959 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTGAATAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_438 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCTTCGCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_778 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTAAGCACAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_821 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTATCTGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_924 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGTAATCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_868 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCGCTAGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_899 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGCAAGTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_934 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTAATCAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_190 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGCAATTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_34 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAACTTGACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_927 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGTCGGATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_866 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCGCCTTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_38 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAAGACACTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_875 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCTCGGTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_78 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAATGTTCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_151 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACTAAGACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_288 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTATCAAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_110 GATCGGAAGAGCACACGTCTGAACTCCAGTCACACAGTTGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_195 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGCATGGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_222 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGGTGCGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_236 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGTTGCTTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_332 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCACATCCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_289 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTATGTTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_250 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATAGCGTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_352 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGCAAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_298 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTGTCTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_355 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGCGGTAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_469 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGCCTTCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_509 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTATGCGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_320 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAATAGTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_474 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGCTATGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_544 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTGTGGCGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_393 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCAGTTAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_869 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCGGAATGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_422 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCTACCATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_564 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGAAGAAGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_851 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCCAGCAAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_559 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGAACCTAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_581 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACCAGGAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_657 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCTAGCCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_747 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCCACAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_583 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGACCGTTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_616 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGATATCCAATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_652 GATCGGAAGAGCACACGTCTGAACTCCAGTCACGCCGCAACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_960 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTGAGCCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_52 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAAGGATGTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_800 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTACTTAGCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_293 GATCGGAAGAGCACACGTCTGAACTCCAGTCACATTCTAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_388 GATCGGAAGAGCACACGTCTGAACTCCAGTCACCCAGAGCTATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_786 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTAATGAACATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_818 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTATCCAGGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_910 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGCTGCTGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_968 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTGTCTATATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_878 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCTGCAAGATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_923 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGTAACTCATCTCGTATGCCGTCTTCTGCTTG >Broad Barcode tagged_944 GATCGGAAGAGCACACGTCTGAACTCCAGTCACTTATATCTATCTCGTATGCCGTCTTCTGCTTG ================================================ FILE: tests/input/TestTrimmomatic/clip.fasta ================================================ >Broad Barcode tagged_57 GATCGGAAGAGCACACGTCTGAACTCCAGTCACAAGTAGAGATCTCGTATGCCGTCTTCTGCTTG ================================================ FILE: tests/input/TestTrimmomatic/empty.fastq ================================================ ================================================ FILE: tests/input/TestTrimmomatic/expected1.fastq ================================================ @lowQuality-trim AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTG + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD @barcodeAtEnd-trim CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD ================================================ FILE: tests/input/TestTrimmomatic/expected1.maxinfo.fastq ================================================ @lowQuality-trim AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGA + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD9 @barcodeAtEnd-trim CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD ================================================ FILE: tests/input/TestTrimmomatic/expected2.fastq ================================================ @test1 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTG + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD @test3 CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD ================================================ FILE: tests/input/TestTrimmomatic/expected2.maxinfo.fastq ================================================ @test1 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGA + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD9 @test3 CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD ================================================ FILE: tests/input/TestTrimmomatic/in1.fastq ================================================ @lowQuality-trim AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGA + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD9 @barcodeAtStart-eliminate TAGAGATCTCGTATGCCGTCTTCTGCTTGCGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDDIJJIJJFHGIIJJGHHHBDFDDDDDDDDD @barcodeAtEnd-trim CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTCGATCGGAAGAGCACACGTCTGAACTCCAG + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDDDIJJIJJFHGIIJJGHHHBDFDDDDDDDD ================================================ FILE: tests/input/TestTrimmomatic/in2.fastq ================================================ @test1 AGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGA + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDD9 @test2 CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD @test3 CGGGCTTTCACCATGTTGGCCAGGCTGGTCTCGAACTCCTGACTTCGTGATCTGCCCGCCTCGGCCTC + CCCFFFFFHHHHHJJJJJJJJJJJJJJJHIIIIJJJJHIJIIJJIJJFHGIIJJGHHHBDFDDDDDDD ================================================ FILE: tests/input/TestTsvJoin/expected-out.txt ================================================ h1 h2 h3 h5 one A X 20 two b Y 21 three C 22 four d 23 five e 24 ================================================ FILE: tests/input/TestTsvJoin/tab-1.txt ================================================ h1 h2 h3 one A X two Y three C ================================================ FILE: tests/input/TestTsvJoin/tab-2.txt ================================================ h1 h2 h5 one a 20 two b 21 three c 22 four d 23 five e 24 ================================================ FILE: tests/input/TestUtilMisc/cfg1.yaml ================================================ # Example config files for testing util.misc.load_config() paramA: 3 paramB: 5 env_vars: var_A: 1 var_B: 2 paramZ: 22 std_methods: - a - b - c empty_subtree: stage1: stage2: step_num: 3 step_list: - 5 - 10 - 15 stage3: step_num: 31 step_list: - 51 - 101 - 151 std_param_A_old: 111 ================================================ FILE: tests/input/TestUtilMisc/cfg2.yaml ================================================ # Example config files for testing util.misc.load_config() include: "cfg1.yaml" paramB: 10 paramC: 15 env_vars: var_B: 3 var_C: 4 paramZ: "" stage1: stage3: step_list: - 3 - 33 empty_subtree: x: 1 ================================================ FILE: tests/input/TestUtilMisc/cfg_std.yaml ================================================ # Example config files for testing util.misc.load_config() std_param_A_new: 239 ================================================ FILE: tests/input/TestUtilMisc/empty.yaml ================================================ # empty config file ================================================ FILE: tests/input/TestVPhaser2/expected.cpickle ================================================ (lp1 (lp2 S'chr1' p3 aS'55' p4 aS'T' aS'C' aS'0.8156' p5 aS'snp' p6 aS'16.1' p7 aS'C:65:34' p8 aS'T:13:6' p9 aa(lp10 g3 aS'104' p11 aS'G' aS'A' aS'0.1708' p12 aS'snp' p13 aS'14.29' p14 aS'A:65:49' p15 aS'G:14:5' p16 aa(lp17 g3 aS'210' p18 aS'T' aS'C' aS'0.05316' p19 aS'snp' p20 aS'12' p21 aS'C:59:51' p22 aS'T:12:3' p23 aa(lp24 g3 aS'483' p25 aS'T' aS'C' aS'0.5142' p26 aS'snp' p27 aS'23.61' p28 aS'C:34:21' p29 aS'T:8:9' p30 aa(lp31 g3 aS'562' p32 aS'T' aS'C' aS'0.7799' p33 aS'snp' p34 aS'12.17' p35 aS'C:61:40' p36 aS'T:9:5' p37 aa(lp38 g3 aS'573' p39 aS'T' aS'C' aS'0.5073' p40 aS'snp' p41 aS'13.74' p42 aS'C:66:47' p43 aS'T:12:6' p44 aa(lp45 g3 aS'660' p46 aS'C' aS'T' aS'0.2772' p47 aS'snp' p48 aS'44.27' p49 aS'C:78:65' p50 aS'T:109:71' p51 aa(lp52 g3 aS'666' p53 aS'C' aS'T' aS'0.345' p54 aS'snp' p55 aS'4.805' p56 aS'C:11:5' p57 aS'T:180:137' p58 aa(lp59 g3 aS'825' p60 aS'G' aS'T' aS'0' aS'snp' p61 aS'1.381' p62 aS'G:10:0' p63 aS'T:364:350' p64 aa(lp65 g3 aS'826' p66 aS'G' aS'T' aS'0' aS'snp' p67 aS'0.4202' p68 aS'G:3:0' p69 aS'T:373:338' p70 aa(lp71 g3 aS'828' p72 aS'T' aS'G' aS'0' aS'snp' p73 aS'0.4121' p74 aS'A:1:0' p75 aS'G:362:362' p76 aS'T:3:0' p77 aa(lp78 g3 aS'858' p79 aS'T' aS'C' aS'1' aS'snp' p80 aS'1.037' p81 aS'C:442:417' p82 aS'T:4:5' p83 aa(lp84 g3 aS'999' p85 aS'T' aS'C' aS'0.9182' p86 aS'snp' p87 aS'12.85' p88 aS'C:527:538' p89 aS'T:80:77' p90 aa(lp91 g3 aS'1075' p92 aS'A' aS'G' aS'1' aS'snp' p93 aS'0.815' p94 aS'A:5:5' p95 aS'G:610:607' p96 aa(lp97 g3 aS'1117' p98 aS'A' aS'G' aS'0.838' p99 aS'snp' p100 aS'15.05' p101 aS'A:84:81' p102 aS'G:449:482' p103 aa(lp104 g3 aS'1293' p105 aS'T' aS'C' aS'0.09971' p106 aS'snp' p107 aS'17.18' p108 aS'A:1:1' p109 aS'C:258:245' p110 aS'G:0:1' p111 aS'T:63:42' p112 aa(lp113 g3 aS'1431' p114 aS'T' aS'C' aS'0.03124' p115 aS'snp' p116 aS'13.55' p117 aS'C:101:84' p118 aS'T:22:7' p119 aa(lp120 S'chr2' p121 aS'8565' p122 aS'T' aS'C' aS'1' aS'snp' p123 aS'2.74' p124 aS'C:40:31' p125 aS'T:1:1' p126 aa(lp127 g121 aS'8766' p128 aS'T' aS'C' aS'0.6568' p129 aS'snp' p130 aS'8.3' p131 aS'A:0:1' p132 aS'C:132:99' p133 aS'T:13:8' p134 aa(lp135 g121 aS'8808' p136 aS'T' aS'C' aS'0.1318' p137 aS'snp' p138 aS'16.84' p139 aS'C:130:107' p140 aS'T:32:16' p141 aa(lp142 g121 aS'8863' p143 aS'G' aS'A' aS'-2.316e+77' p144 aS'snp' p145 aS'0.8499' p146 aS'A:202:148' p147 aS'G:1:2' p148 aa(lp149 g121 aS'8996' p150 aS'C' aS'A' aS'0' aS'snp' p151 aS'1.406' p152 aS'A:286:205' p153 aS'C:0:7' p154 aa(lp155 g121 aS'9000' p156 aS'A' aS'G' aS'0.1478' p157 aS'snp' p158 aS'1.6' p159 aS'A:1:7' p160 aS'G:285:207' p161 aa(lp162 g121 aS'9002' p163 aS'A' aS'G' aS'0' aS'snp' p164 aS'1.389' p165 aS'A:0:7' p166 aS'G:288:209' p167 aa(lp168 g121 aS'9020' p169 aS'A' aS'G' aS'0' aS'snp' p170 aS'1.667' p171 aS'A:8:0' p172 aS'G:247:225' p173 aa(lp174 g121 aS'9021' p175 aS'A' aS'G' aS'0' aS'snp' p176 aS'1.131' p177 aS'A:5:0' p178 aS'G:249:188' p179 aa(lp180 g121 aS'9123' p181 aS'T' aS'C' aS'0.6938' p182 aS'snp' p183 aS'14.48' p184 aS'C:150:168' p185 aS'G:1:0' p186 aS'T:24:30' p187 aa(lp188 g121 aS'9151' p189 aS'T' aS'C' aS'0.4294' p190 aS'snp' p191 aS'15' p192 aS'C:142:147' p193 aS'T:22:29' p194 aa(lp195 g121 aS'9272' p196 aS'G' aS'A' aS'0.2018' p197 aS'snp' p198 aS'17.52' p199 aS'A:82:111' p200 aS'G:28:13' p201 aa(lp202 g121 aS'9439' p203 aS'A' aS'G' aS'1' aS'snp' p204 aS'10.2' p205 aS'A:4:6' p206 aS'G:37:51' p207 aa(lp208 g121 aS'9450' p209 aS'G' aS'A' aS'0.6596' p210 aS'snp' p211 aS'16.49' p212 aS'A:30:51' p213 aS'G:11:5' p214 aa(lp215 g121 aS'9603' p216 aS'G' aS'A' aS'0.1377' p217 aS'snp' p218 aS'14.29' p219 aS'A:37:71' p220 aS'G:3:15' p221 aa(lp222 g121 aS'9687' p223 aS'T' aS'C' aS'0.7036' p224 aS'snp' p225 aS'11.82' p226 aS'C:67:127' p227 aS'T:8:18' p228 aa(lp229 g121 aS'9912' p230 aS'T' aS'C' aS'0.1715' p231 aS'snp' p232 aS'24.87' p233 aS'C:104:195' p234 aS'T:42:57' p235 aa(lp236 g121 aS'9960' p237 aS'C' aS'T' aS'0.3394' p238 aS'snp' p239 aS'11.95' p240 aS'C:13:33' p241 aS'T:120:219' p242 aa(lp243 g121 aS'10347' p244 aS'C' aS'T' aS'1.224' p245 aS'snp' p246 aS'16' p247 aS'C:2:2' p248 aS'T:9:12' p249 aa. ================================================ FILE: tests/input/ebola.fasta ================================================ >Bundibugyo_ebolavirus_complete_genome CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGTGTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCTAATCTCGACGGATCGATCCCCAATACCAACACTGAGAATTGGCCTGAAGAAGTCATCTGCTCCTTGGCAAAACCAAGAGCAGGCCCAAAGGGCCATTAGGCCACATCTGCTGAGCCTGCAGAACACGCAGGACTTACTTAGCAGAAGAGAGCGCGTGCCGAAACCAGCCAACAAATTGACACAGCTGCTCACTCTGACCCTGAATTCATAAACAATATTAAGTTGACAACAGAGATACTAATCCAATATTTGGATCAAGAATCAAAATAGTGAAACGACTGACTATCCCTCCTTAGAATTAGCAAAGATCCTTTTGTAGACTATTGTGCTACATTCTCTATCCAAGACCTCAAAATGGATCCTCGTCCAATCAGAACCTGGATGATGCATAACACATCTGAAGTTGAAGCAGACTACCATAAGATTCTAACTGCCGGATTGTCCGTCCAGCAAGGCATTGTGAGACAAAGAATCATTCCTGTTTACCAAATCTCAAACCTGGAGGAAGTATGTCAACTCATCATACAGGCATTCGAGGCTGGCGTCGACTTCCAGGATAGTGCAGATAGCTTTTTGTTAATGCTATGTCTGCATCATGCCTATCAAGGGGATTATAAACAATTTTTGGAAAGTAATGCGGTAAAATACCTTGAAGGTCATGGATTCCGTTTTGAGATGAAGAAAAAGGAAGGTGTCAAGCGCCTGGAGGAACTACTCCCTGCTGCCTCGAGTGGAAAGAACATCAAGAGAACATTGGCTGCAATGCCCGAGGAGGAAACAACAGAAGCAAATGCTGGACAATTTCTTTCATTTGCTAGTCTGTTTCTCCCAAAATTGGTTGTCGGAGAAAAGGCCTGTCTGGAGAAGGTTCAACGACAAATCCAAGTGCACGCAGAACAAGGTCTGATTCAATACCCGACATCTTGGCAATCGGTGGGACATATGATGGTCATCTTCAGACTAATGCGAACCAACTTCCTGATTAAGTTCCTCCTAATACATCAAGGAATGCATATGGTTGCAGGGCATGATGCTAATGATGCCGTCATTGCCAACTCTGTAGCTCAAGCTCGTTTCTCCGGATTGTTGATAGTCAAAACAGTGCTTGATCATATCCTCCAAAAAACAGAGCACGGAGTTCGCCTGCATCCCTTGGCGCGAACAGCCAAAGTCAAAAATGAGGTGAGCTCTTTTAAGGCCGCTTTAGCCTCACTAGCACAACATGGAGAATATGCCCCGTTTGCTCGTCTGCTGAATCTATCTGGGGTTAATAATCTTGAGCATGGGCTTTTCCCTCAACTTTCTGCAATTGCTTTGGGAGTAGCAACTGCACATGGGAGCACTCTGGCTGGAGTCAATGTAGGAGAGCAATACCAACAACTGCGAGAAGCAGCCACTGAGGCCGAAAAGCAGTTGCAGAAATATGCTGAATCTCGTGAACTTGATCACCTAGGTCTTGATGATCAGGAAAAGAAAATCCTAAAAGACTTCCATCAGAAAAAGAATGAGATCAGCTTCCAGCAGACGACAGCCATGGTCACACTGCGGAAAGAGAGATTGGCCAAATTGACCGAAGCTATTACTTCCACCTCTATCCTCAAAACAGGAAGGCGGTATGATGATGACAATGACATACCCTTTCCAGGGCCAATCAATGATAACGAGAACTCTGGTCAGAACGATGACGATCCAACAGACTCCCAGGATACCACAATCCCGGATGTAATAATCGATCCAAACGATGGTGGGTATAATAATTACAGCGATTATGCAAATGATGCTGCAAGTGCTCCTGATGACCTAGTTCTTTTTGACCTTGAGGACGAGGATGATGCTGATAACCCGGCTCAAAACACGCCAGAAAAAAATGATAGACCAGCAACAACAAAGCTGAGAAATGGACAGGACCAGGATGGAAACCAAGGCGAAACTGCATCCCCACGGGTAGCCCCCAACCAATACAGAGACAAGCCAATGCCACAAGTACAGGACAGATCCGAAAATCATGACCAAACCCTTCAAACACAGTCCAGGGTTTTGACTCCTATCAGCGAGGAAGCAGACCCCAGCGACCACAACGATGGTGACAATGAAAGCATTCCTCCCCTGGAATCAGACGACGAGGGTAGCACTGATACTACTGCAGCAGAAACAAAGCCTGCCACTGCACCTCCCGCTCCCGTCTACCGAAGTATCTCCGTAGATGATTCTGTCCCCTCAGAGAACATTCCCGCACAGTCCAATCAAACGAACAATGAGGACAATGTCAGGAACAATGCTCAGTCGGAGCAATCCATTGCAGAAATGTATCAACATATCTTGAAAACACAAGGACCTTTTGATGCCATCCTTTACTACCATATGATGAAAGAAGAGCCCATCATTTTCAGCACTAGTGATGGGAAGGAGTATACATATCCAGACTCTCTTGAAGATGAGTATCCACCCTGGCTCAGCGAGAAGGAAGCCATGAACGAAGACAATAGATTCATAACCATGGATGGTCAGCAGTTTTACTGGCCTGTGATGAATCATAGAAATAAATTCATGGCAATCCTCCAGCATCACAGGTGATCCGACCTCTAAAACTGAGCTCCTAACTACAAGCTACCCCATCACTCTGCCGGAATGCCAGAACCTCCCTCCAAAACAGCTCCACATCGAGAACCTCCGACGCGGTACACAGGCAAGACAGGCAACCTAATGATGTTCCTGTTCACCCACAACCGCAACCAACACTTGATCGACTTCCAAGACAACTACAACCCCCTTAGCCAACTCCACCACAGAAGCACCACCCCATAACAACAACCCCAAACCAACAACACTGCATGTAAGTATTGTCTCACCCCAAGATGATCCCTGGACACCAACAACCCCCTAACCTCCCCAAGTTGTCATTAAGAAAAAATATATGATGAAGATTAAAACCTTCATCAGAGCTATTTCTTCTACGCTTGGTTAGGACCAGTATTCACAAACTATTTTACAATCCCTACCCAATATGACCTCTAACAGAGCAAGGGTGACTTACAACCCACCACCAACAACCACAGGCACACGATCGTGTGGGCCGGAACTTTCCGGGTGGATCTCTGAGCAATTGATGACAGGCAAGATTCCGATTACCGATATCTTCAATGAAATTGAAACCTTACCTAGTATAAGTCCCTCGATCCACTCCAAAATCAAAACCCCAAGTGTTCAAACACGCAGTGTCCAGACCCAAACTGACCCAAATTGTAATCATGATTTTGCAGAGGTTGTGAAAATGCTAACATCTCTAACCCTTGTCGTACAAAAACAAACCCTTGCAACTGAATCACTTGAGCAACGCATTACTGACCTGGAAGGTAGCCTGAAACCAGTGTCTGAGATCACCAAGATTGTTTCTGCACTAAATAGATCCTGTGCAGAGATGGTGGCCAAATATGATCTTCTAGTAATGACGACTGGTCGTGCAACTGCCACTGCTGCAGCTACTGAAGCATACTGGGCAGAACATGGACGTCCTCCACCGGGGCCCTCATTGTACGAGGAGGATGCAATCAGGACTAAAATTGGAAAACAAGGGGATATGGTACCCAAGGAAGTGCAAGAGGCCTTCCGTAATCTGGATAGTACTGCCCTTCTAACGGAAGAGAATTTTGGGAAACCAGACATATCCGCAAAAGACTTGCGCAATATCATGTATGATCACCTCCCAGGTTTTGGCACAGCATTTCATCAACTAGTGCAAGTTATCTGCAAGTTAGGGAAGGACAATTCCTCACTTGATGTAATTCATGCAGAATTTCAGGCCAGCCTTGCTGAAGGAGACTCTCCTCAGTGTGCCCTGATTCAGATAACCAAACGGATTCCTATTTTCCAAGATGCAGCACCACCCGTAATCCATATTCGGTCACGCGGTGATATACCAAAGGCGTGTCAAAAGAGCCTCCGCCCTGTTCCACCATCACCAAAGATTGATAGGGGTTGGGTATGCATATTCCAGCTACAAGACGGAAAAACACTCGGACTCAAAATCTAAGGTGAACAATTGCGCAACCTCCACAGTCGCCTATATTGCTTCCTTCCGGAATCAGGGTATGATCGCGTAAAAAATAAGCTTCCAACATATTGATACACGATCCATATCCATAATGCCATCTCCAGGAATATGAGAACGCAAGGCCATATCAGGACCCGATCTCAATTCCAATGCAACCTACTGTTAAGAATAAAATAACCAATGTCCTCTAGCCTTATATGTTCTCAAAAATACAAGTGATGAAGATTAAGAAAAAGCATCCTTTACTTGAGAGGAGCTAATTCTTTATACTTCATCTAATCTTTAAGTAAGTTGATCACTACCACCATGAGGAGGGCAATTCTACCTACTGCACCGCCAGAATACATAGAGGCTGTCTACCCAATGAGAACGGTTAGTACTAGTATCAACAGTACTGCCAGTGGTCCGAACTTTCCAGCACCGGATGTAATGATGAGTGATACACCCTCCAACTCACTCCGACCAATTGCTGATGATAACATCGATCATCCAAGTCATACACCAACCAGTGTTTCATCAGCCTTTATACTCGAGGCAATGGTGAATGTGATATCGGGGCCGAAGGTACTAATGAAGCAAATTCCTATATGGCTCCCCTTGGGTGTTGCTGATCAAAAAACATATAGTTTTGACTCAACTACAGCTGCAATTATGCTCGCATCGTACACCATCACTCACTTTGGCAAAACCTCCAATCCGCTTGTGAGAATCAATCGACTTGGTCCTGGGATCCCCGATCACCCGTTGCGGCTTCTAAGAATAGGAAATCAAGCCTTCTTGCAAGAGTTTGTGCTGCCTCCAGTTCAATTGCCGCAGTATTTCACTTTTGACCTGACGGCTCTAAAGCTGATCACTCAACCTCTCCCGGCAGCAACCTGGACGGATGATACTCCGACCGGTCCTACAGGAATACTTCGTCCTGGAATTTCCTTTCATCCCAAACTGAGACCTATCCTATTGCCAGGGAAGACCGGGAAAAGAGGATCCAGCTCCGATCTTACTTCTCCTGATAAAATACAAGCAATAATGAACTTTCTCCAAGACCTCAAACTCGTGCCGATTGATCCAGCCAAGAACATTATGGGTATTGAAGTGCCGGAACTCTTGGTCCACAGACTAACTGGAAAGAAAATCACAACAAAAAATGGTCAACCAATAATTCCTATTCTTCTACCAAAGTATATTGGCATGGATCCCATTTCTCAGGGAGACCTCACAATGGTCATCACTCAAGACTGTGACACTTGCCATTCTCCTGCTAGTCTTCCTCCAGTCAGCGAGAAATGAGCATGAAGTCCGAGGCTGCCCGGCCCACACGACCCCCAGGGCCTTCGTCCGGCTACCGAACCAACCATCCGACCTTCATCAAAACCAAAAAATACCGCCACGCGAAAGCTAAAATGCAGGACCACAATCCAACCAGCAACACCATCCATACACAGGTATCAATTGGGCTGCCGCAGCATATAGACCCAATAGCAAGCTGCTGTCCAGAAAATAGTTCCGGAAAGTAACTCAACCATCGCAAGCCCAATGCAGCTTTCAGAAATCCGCCAGCAACCCAACTCCACTGTACCCCCAATATTAACCTGAATCGACTAACCGCACTTTAATTTGAAGTACATTTGTTCAATGGGTTCATTATTAACAGTGTTGCTTTTAGATTGTACCTTTGCTCACAGATAGTAAATTGTTATGGTATCAAATCTTATTAAGAAAAAGAACACGATGAAGATTAACGCGACCTAGAGCGCTGCCTTCATCTCATCAATTTAACTTGTCAATAGAGCAACCTAGTTTGTGATTACTCATCTTCCGTAGTTGACAAACACTTTGCTGGTTAATTGTAAATATACCACAGTCATCATGGTTACATCAGGAATTCTACAATTGCCCCGTGAACGCTTCAGAAAAACATCATTTTTTGTTTGGGTAATAATCCTATTTCACAAAGTTTTCCCTATCCCATTGGGCGTAGTTCACAACAACACTCTCCAGGTAAGTGATATAGATAAATTGGTGTGCCGGGATAAACTTTCCTCCACAAGTCAGCTGAAATCGGTCGGGCTTAATCTAGAAGGTAATGGAGTTGCCACAGATGTACCAACAGCAACGAAGAGATGGGGATTCCGAGCTGGTGTTCCACCCAAAGTGGTGAACTACGAAGCTGGGGAGTGGGCTGAAAACTGCTACAACCTGGACATCAAGAAAGCAGATGGTAGCGAATGCCTACCTGAAGCCCCTGAGGGTGTAAGAGGCTTCCCTCGCTGCCGTTATGTGCACAAGGTTTCTGGAACAGGGCCGTGCCCTGAAGGTTACGCTTTCCACAAAGAAGGCGCTTTCTTCCTGTATGATCGACTGGCATCAACAATCATCTATCGAAGCACCACGTTTTCAGAAGGTGTTGTGGCTTTCTTGATCCTCCCCGAAACTAAAAAGGACTTTTTCCAATCGCCACCACTACATGAACCGGCCAATATGACAACAGACCCATCCAGCTACTACCACACAGTCACACTTAATTATGTGGCTGACAATTTTGGGACCAATATGACTAACTTTCTGTTTCAAGTGGATCATCTAACTTATGTGCAACTTGAACCAAGATTCACACCACAATTTCTTGTCCAACTCAATGAGACCATTTATACTAATGGGCGTCGCAGCAACACCACAGGAACACTAATTTGGAAAGTAAATCCTACTGTTGACACCGGCGTAGGTGAATGGGCCTTCTGGGAAAATAAAAAAACTTCACAAAAACCCTTTCAAGTGAAGAGCTGTCTGTCATATTTGTACCAAGAGCCCAGGATCCAGGCAGCAACCAGAAGACGAAGGTCACTCCCACCAGCTTCGCCAACAACCAAACCTCCAAGAACCACGAAGACTTGGTTCCAGAGGATCCCGCTTCAGTGGTTCAAGTGCGAGACCTCCAGAGGGAAAACACAGTGCCGACCCCACCCCCAGACACAGTCCCCACAACTCTGATCCCCGACACAATGGAGGAACAAACCACCAGCCACTACGAACCACCAAACATTTCCAGAAACCATCAAGAGAGGAACAACACCGCACACCCCGAAACTCTCGCCAACAATCCCCCAGACAACACAACCCCGTCGACACCACCTCAAGACGGTGAGCGGACAAGTTCCCACACAACACCCTCCCCCCGCCCAGTCCCAACCAGCACAATCCATCCCACCACACGAGAGACTCACATTCCCACCACAATGACAACAAGCCATGACACCGACAGCAATCGACCCAACCCAATTGACATCAGCGAGTCTACAGAGCCAGGACCACTCACCAACACCACAAGAGGGGCTGCAAATCTGCTGACAGGCTCAAGAAGAACCCGAAGGGAAATCACCCTGAGAACACAAGCCAAATGCAACCCAAACCTACACTATTGGACAACCCAAGATGAAGGGGCTGCCATTGGTTTAGCCTGGATACCTTACTTCGGGCCCGCAGCAGAGGGAATTTATACGGAAGGGATAATGCACAATCAAAATGGGCTAATTTGCGGGTTGAGGCAGCTAGCAAATGAGACGACTCAAGCCCTACAGTTATTCTTGCGTGCTACCACGGAATTGCGCACTTTCTCTATATTGAATCGAAAAGCCATCGACTTTTTACTCCAAAGATGGGGAGGAACGTGCCACATCTTAGGCCCAGATTGCTGTATTGAGCCCCATGATTGGACTAAGAACATTACTGACAAAATAGATCAAATCATTCATGATTTCATTGATAAACCTCTACCAGATCAAACAGATAATGACAATTGGTGGACAGGGTGGAGGCAATGGGTTCCTGCCGGGATCGGGATCACGGGGGTAATAATCGCAGTTATAGCACTGCTGTGTATTTGCAAATTTCTACTCTAATCTAGTCCGACTCTGTACCAGCATAATGGCCTCTAAAATAAGCTTTTGCTTCTGCTTCCTATAGTTAATACATTTCAGCAAAAATCAACTATTAAGTCAAAAGAAGATCCCTCTAATAATCCTAATTACCTTCAAAAATCTAGAACTTTATTAATTCTCAGGGTATTTAGAACAGCCAGATGACTTGACTAAGTTTGTACTGTAATAAAAAGATACTTGATGAAGATTAAGAAAAAGACAGTCTTGTGATTGTCACTAATCTTCATCTCAAAACATATTATTTTACCAGAAGCTACTATAGCCTACCTCCTTGACACATAGCAAACCTTACTCATGTTGATAATTGTTTGCCTGCTATTTACATATTTACTAACTTACAAAATTATCTTGGGGATTTCTCTGAACATATAATCAGAATTGGCATTTAAAACACAAGTTAGTCCTAATGGACTCATTTCATGAGAGAGGGCGTAGCAGAACTATTCGACAGAGTGCAAGAGATGGGCCGAGTCATCAAGTAAGAACAAGATCATCCTCCAGAGACAGCCACCGCAGCGAATATCATACACCTAGGAGCTCTTCCCAAGTTCGAGTCCCGACTGTGTTTCATCGGAAGCGTACTGATTCTTTGACAGTTCCACCAGCACCAAAGGACATATGTCCTACCTTAAGGAAAGGATTTTTGTGTGACAGCAATTTTTGTAAAAAGGACCATCAACTAGAAAGTTTAACAGATAGGGAGCTGCTTTTGCTGATTGCACGGAAAACCTGCGGCTCCCTTGAACAACAATTGAACATCACTGCTCCTAAAGATACACGATTAGCAAATCCAATTGCAGATGATTTCCAACAAAAAGACGGCCCAAAAATTACACTATTGACACTTTTGGAGACTGCGGAGTATTGGTCAAAACAAGATATCAAGGGCATTGATGACTCAAGACTAAGAGCATTACTAACCCTTTGTGCCGTCATGACGAGGAAATTCTCAAAATCCCAGCTTAGTCTATTGTGTGAGAGTCATCTACGACGAGAAGGGCTAGGACAGGATCAATCAGAATCTGTTCTTGAAGTGTATCAGCGCTTACATAGCGACAAAGGCGGAAATTTTGAGGCAGCCCTATGGCAACAATGGGACCGACAGTCCTTGATCATGTTTATAACAGCATTTCTTAATATTGCTTTACAATTACCCTGTGAAAGTTCATCTGTTGTTATTTCAGGATTAAGGCTGCTAGTGCCTCAATCAGAAGATACCGAGACCTCAACCTACACCGAGACACGTGCATGGTCAGAGGAAGGTGGCCCCCATTAACATCTTCCACAGTCGAATCTACCATAATTTCCCTATTCAACGCAGATAAGAATCAGTACTAAACCACAAGTGCAAAAATTAACAAAACACCAGCATAAGTGAAATCCTGTCTGTGATTAGCAACACGAATGATCTTCAATCCTGTTGCAATTCGCCAGTGATAATTGTATTCACATTGTGGCCACAATATACTGTCTTTTCCCATTGAAAAATAAGGCTGAATCTATTACGCTACACAAACTTACAGGATTAGCACCACGACGGCTCAATACTATACCTATTGGTCACGGCTCGATGTGTTAATCACTTATATTGTATTCATTTGAAATTACTCATTAGGCAAATACTTTGATTAAGAAAAAATAATTGGAAAACCAGAAAATCCCTAGGTATTTAAATTCCTATCTCCGGAGATCCGAGATAATTAATCAAGCAATGAGGGAACAATGGTGAACAACAACATATTGTTGCCCCCTTTAGATTGGTCAGTTCCAAAAACAAGTGATGAAGATTAATGCAGATGTCCAAGGAACACATATTTGTGATTTAAACGTTCCAGTTAGACTCTGTTCAAGGATCTTCATCTTTTGTAGCTCCACTCTGAGTCACAACATAATTGAGTTTTTGCTCAGAACAGTTATCAGGATTAAATTCTCTCAAATAACTGAAACTACTAGCATCACTCTCAATTTCATTACTTACGACAATCATTATCTTAATAATATTTCTCTAAATTACTGACTTAATTAGCTTGTAATCAGATAATATCGAAACCAATTTATCATAAGGCATAATTTGTATAAGTGATTTAGGATTTACCCCAGAAGTGAAATAATTCTTAGAATAAAAGACCGACTAGAATATCCTTAAGGCTGTCTAACGTGCCACACAGCTAGGGTTAGCCTGACATCTGGAACAAGATCGATACTAATATAGGGATTTGTTTCATACTAGCTCTCTGCAAACACAATGGCTAAGGCAACAGGTAGGTACAACTTGGTTTCACCTAAAAAGGACCTCGAGAGGGGGCTTGTTTTGAGTGATTTGTGCACGTTTTTAGTTGATCAGACTATCCAGGGGTGGCGGGTGACTTGGGTTGGGATTGAATTTGACATCGCCCAGAAAGGGATGGCTCTACTGCATCGGTTAAAAACTGCTGACTTCGCTCCTGCATGGTCGATGACAAGGAATTTATTTCCTCATTTATTTCAAAATTCAAATTCTACTATTGAGTCTCCCCTCTGGGCATTACGAGTGATTCTGGCAGCTGGTATTCAAGACCAGTTAATTGACCAATCCTTGGTAGAACCGTTGGCCGGAGCCCTGAGCTTAGTCTCCGATTGGCTTCTTACAACAAACACAAACCATTTTCAAATGCGCACGCAGCACGCTAAAGAGCAACTGAGCTTGAAGATGCTATCATTAGTGCGCTCTAATATCTTGAAATTCATCAGTCAATTGGACGCACTACATGTCGTGAACTACAATGGACTCTTGAGCAGTATCGAAATTGGCACTAGAAATCATACCATTATCATCACAAGAACCAACATGGGTTTCCTGGTAGAATTACAGGAGCCTGATAAATCTGCCATGAATCAAAAGAAACCAGGACCAGTCAAGTTCTCCCTCCTGCATGAATCAACCTTCAAGGCTCTAATCAAAAAACCCGCAACTAAGATGCAGGCCTTGATTCTGGAATTTAACAGCTCCCTGGCAATATAGTCCAACGCTACCAACCATCATTTTTTGTAACTGCATCTCTTTTATTTCCTTTCTAACTTGATACAATTATAATCAAGATCCCTAATCCCTTTTGACGAAGTGGGCTAATTTTTGCTCATTCTAATAATAAATCATAACCTGAATAAAAGACACCACAATATTATAACCCAATAACACCTAGAGAATTTCTGAATTGCTAAAGATTATATACTCGCACTAAGAGACAAGTTAATCAATCTTTACTTAATAATATACTAAATGCTAGATAGCTCTGGCTAACTAACCTGAGTTGTGGATTACTCCTTTTAAAAGTCTATCAATTTAAGCTTATCACTAATATTAAGGAGGACTTTTTAAATAAGAGCAAGTGTTATGTAGTCTTACTAAGAATGATTTGAGGAAGATTAAGAAAAAGTGCTTGTGGGGTCTTTCCGTTGTAGAGGACACACGAGCAAACTTCTTCCTCTAATTTTAATATGGCAACTCAACATACACAATATCCAGATGCAAGATTATCTTCACCCATTGTCTTAGATCAATGTGATCTTGTCACCCGTGCTTGCGGTCTGTATTCTTCATACTCATTAAATCCTCAGTTGAAAAATTGTAGACTACCAAAACATATTTACCGCCTCAAATTTGATGCTACGGTTACAAAATTTTTAAGCGATGTTCCAATAGTTACATTGCCGATAGATTACTTGACCCCTTTACTTTTACGAACTTTATCCGGGGAGGGCTTATGCCCTGTCGAACCAAAGTGCAGCCAATTCTTAGATGAAATAGTAAGTTATGTTTTGCAGGATGCACGTTTTTTAAGATACTATTTTAGGCATGTTGGAGTACACGATGACAATGTTGGAAAAAATTTTGAGCCAAAGATTAAGGCTTTGATTTATGATAATGAATTTCTGCAACAATTGTTTTATTGGTACGATTTAGCAATCCTAACGCGTAGAGGGCGCCTGAATCGAGGGAATAACCGTTCAACATGGTTTGCAAATGACGATTTAATAGACATTCTCGGGTACGGTGATTATATTTTCTGGAAAATACCGTTGTCATTGTTGTCACTCAACACAGAGGGGATTCCTCATGCAGCTAAGGACTGGTATCACGCATCAATCTTCAAAGAAGCGGTTCAAGGTCACACACATATCGTGTCAGTTTCCACTGCAGATGTTTTAATTATGTGTAAGGACATCATAACCTGTCGTTTCAATACCACACTCATTGCAGCATTGGCAAATTTAGAAGATTCTATCTGTTCTGACTATCCACAACCTGAAACAATCTCTAATCTGTATAAGGCAGGGGATTACTTAATCTCGATACTGGGTTCAGAAGGTTATAAGGTCATAAAGTTTTTAGAACCACTATGTTTAGCTAAGATCCAATTGTGCTCAAATTACACTGAGAGGAAAGGGAGATTCCTTACTCAAATGCATTTGGCCGTTAATCACACACTTGAAGAACTTATTGAGGGCCGGGGATTGAAGTCACAACAAGACTGGAAGATGAGGGAATTTCACCGAATCTTAGTAAATTTAAAGTCAACACCACAACAACTCTGTGAATTGTTTTCAGTGCAAAAGCATTGGGGGCATCCTGTGCTACATAGCGAGAAGGCTATTCAGAAAGTAAAGAAACATGCAACCGTAATAAAAGCATTGCGTCCCGTAATCATCTTTGAGACATATTGTGTGTTCAAGTACAGCATTGCCAAACATTATTTTGATAGCCAAGGGTCATGGTATAGTGTAATCTCAGATAAACATCTAACACCAGGTTTACACTCTTACATTAAGAGGAACCAATTTCCGCCACTGCCTATGATTAAAGACTTATTGTGGGAATTCTATCACCTTGATCATCCTCCCTTATTTTCCACCAAGATTATTAGTGACTTGAGTATTTTCATTAAGGATCGCGCTACCGCAGTGGAAAAAACATGTTGGGATGCAGTTTTCGAGCCTAATGTTCTTGGATATAGTCCTCCAAACAAGTTCTCAACTAAGAGGGTTCCTGAACAGTTTCTTGAACAAGAAAATTTCTCGATTGATAGTGTTCTCACTTATGCCCAGCGCCTGGATTATCTACTTCCACAATACCGGAATTTTTCTTTCTCACTTAAGGAAAAAGAATTAAATGTAGGACGAGCTTTTGGTAAGCTACCTTATCCTACACGTAATGTTCAAACTTTATGTGAAGCCTTATTGGCAGATGGATTAGCTAAAGCCTTTCCTAGTAACATGATGGTTGTAACAGAGCGTGAGCAGAAGGAAAGCCTCTTGCACCAGGCGTCGTGGCACCACACAAGTGACGATTTCGGTGAGAATGCCACTGTTAGAGGCAGCAGTTTTGTTACCGACCTAGAAAAATACAACTTGGCATTTAGATATGAGTTTACAGCTCCATTTATTGAATACTGTAATCGATGTTATGGTGTAAAAAATTTATTCAATTGGATGCATTATACGATACCGCAATGTTATATACATGTAAGTGATTATTATAATCCCCCTCATGGAGTTTCGCTAGAAAATCGGGAAGATCCCCCGGAAGGCCCTAGCTCTTACCGTGGTCATCTTGGGGGAATTGAGGGACTCCAACAGAAACTCTGGACCAGCATTTCATGTGCACAAATCTCATTAGTTGAGATCAAGACTGGTTTCAAATTGAGATCTGCGGTAATGGGTGATAATCAATGCATCACAGTTCTTTCCGTATTTCCTCTAGAGACAGATTCCAATGAGCAAGAGCATAGCTCCGAGGACAATGCTGCTCGCGTAGCAGCCAGTTTAGCCAAAGTCACGAGTGCCTGTGGCATCTTCCTAAAACCAGATGAGACTTTTGTGCATTCAGGCTTTATTTATTTCGGTAAGAAGCAATATTTAAATGGCGTTCAATTGCCACAATCACTCAAGACTGCTACCAGGATTGCTCCCTTGTCAGATGCAATCTTTGATGACCTTCAGGGAACTCTGGCTAGTATAGGAACGGCATTTGAGAGATCTATATCCGAGACTAGACATGTATACCCTTGCCGGGTGGTTGCCGCATTCCATACATTCTTCTCCGTTAGGATCCTCCAATACCACCACCTTGGTTTCAACAAAGGAACCGATCTAGGTCAACTATCACTAAGCAAACCGTTGGATTTCGGAACTATCACTCTTGCTTTAGCGGTACCTCAAGTTCTAGGAGGTTTATCGTTTTTAAACCCAGAGAAATGTTTTTATCGCAACCTTGGAGACCCCGTGACCTCCGGCCTATTCCAACTTAGGACTTACCTGCAAATGATCAACATGGACGACTTATTTCTACCTTTAATTGCCAAGAACCCCGGGAACTGTAGTGCAATTGACTTTGTACTCAACCCAAGCGGATTGAATGTCCCTGGGTCACAAGACCTAACATCTTTTTTACGTCAGATAGTGCGTAGAACAATCACATTGAGTGCAAAAAATAAGCTAATAAACACATTGTTTCACTCCTCAGCCGATTTAGAAGATGAGATGGTATGTAAATGGCTACTTTCTTCAACACCTGTAATGAGTCGGTTTGCTGCTGATATATTCTCTCGTACTCCGAGTGGGAAGCGCTTGCAGATCCTAGGTTATTTAGAAGGGACTAGAACCTTGCTAGCCTCCAAAGTCATCAATAACAATGCAGAGACTCCTATTTTAGATAGGTTGAGGAAAATCACACTGCAGAGATGGAGTTTGTGGTTTAGCTACCTAGACCACTGTGATCAGGTTCTAGCAGATGCTTTAATAAAAGTTTCTTGTACAGTTGATTTGGCGCAAATTTTACGTGAATATACCTGGGCACACATACTAGAGGGAAGACAGCTCATTGGTGCAACACTTCCTTGCATGTTAGAACAATTTAATGTGTTTTGGCTCAAATCGTACGAACAATGCCCTAAATGTGCAAAATCTAGAAATCCAAAAGGAGAGCCATTTGTGTCAATTGCAATTAAGAAACAAGTTGTGAGTGCATGGCCGAATCAGTCACGGTTAAATTGGACCATTGGGGACGGTGTACCTTACATCGGGTCTCGAACAGAGGACAAGATTGGGCAGCCAGCAATCAAGCCTAAGTGTCCCTCTGCTGCCTTACGTGAAGCAATAGAGTTGACATCTAGACTAACATGGGTTACCCAAGGTGGTGCCAATAGTGATTTGCTAGTTAAACCTTTTGTAGAGGCACGAGTAAACCTGAGTGTGCAGGAGATCCTTCAAATGACGCCTTCTCATTATTCAGGGAACATCGTACATCGGTATAATGACCAATACAGCCCTCATTCTTTCATGGCAAATAGAATGAGTAATTCCGCGACGAGATTGGTGGTGTCGACAAATACTCTCGGGGAGTTCTCAGGTGGGGGGCAATCAGCAAGGGACAGCAATATCATCTTTCAAAATGTAATCAATTTTTCGGTTGCCCTATTTGATTTACGATTTCGGAACACCGAAACATCCTCCATTCAGCATAATCGTGCCCATCTCCATCTTTCACAGTGTTGCACACGGGAAGTCCCAGCTCAATACCTAACCTACACGTCTACGCTTTCCTTGGATCTCACAAGGTACCGAGAGAATGAGTTAATTTATGATAACAATCCGTTAAAAGGTGGACTTAATTGCAACCTATCCTTTGATAATCCACTTTTCAAGGGCCAAAGGCTCAATATCATAGAGGAGGATTTGATTAGATTTCCTCATCTATCTGGGTGGGAACTTGCGAAAACCATCATTCAGTCCATTATCTCAGACAGCAATAACTCATCCACAGACCCCATTAGCAGTGGAGAAACACGATCATTCACAACTCACTTTCTCACATATCCTAAGGTTGGGCTCCTCTATAGTTTCGGCGCCATCGTGAGTTATTACTTAGGGAATACCATTATTAGGACCAAAAAGCTAGACCTCAGTCATTTTATGTATTACTTAACAACTCAAATCCATAATTTGCCACATCGCTCGTTGAGGATACTTAAGCCCACCTTTAAACATGTTAGTGTGATATCAAGACTAATGAGTATTGATCCTCATTTTTCAATCTACATCGGGGGTACGGCAGGTGATCGAGGGCTTTCGGATGCTACCAGACTATTCCTTCGAGTGGCCATTTCTTCCTTCCTTCAATTTATCAAAAAATGGATCGTGGAATACAAGACAGCTATTCCTCTGTGGGTTATATACCCTTTGGAGGGACAAAATCCAGATCCAATTAATAGCTTTCTACATCTGATTATAGCCTTACTGCAAAATGAATCCCCTCAAAACAACATCCAATTCCAAGAAGACAGAAATAATCAACAGTTGTCCGATAATCTAGTTTACATGTGCAAGAGCACTGCCAGTAATTTCTTCCATGCATCACTTGCCTATTGGAGGAGCCGGCACAAAGGACGGCCCAAAAATCGATCGACCGAAGAACAGACAGTTAAACCCATACCATATGATAATTTTCATTCTGTTAAATGTGCCTCAAACCCACCAAGCATCCCCAAATCTAAGTCAGGAACTCAAGGTTCAAGCGCATTTTTTGAGAAACTTGAATATGATAAAGAAAGAGAATTGCCAACAGCTTCCACACCAGCCGAACAATCCAAGACCTATATCAAGGCCCTATCCAGCCGAATTTATCATGGTAAAACACCATCCAATGCCGCAAAAGATGATTCAACAACCTCCAAGGGCTGCGATTCCAAAGAAGAAAATGCCGTTCAAGCTTCACACCGAATTGTCCTACCATTTTTTACATTGTCACAGAACGACTACAGAACTCCCTCAGCTAAAAAGTCAGAGTATATAACTGAAATCACCAAACTAATTCGACAATTAAAGGCAATTCCAGATACCACTGTATACTGTCGCTTTACAGGGGTTGTATCTTCAATGCATTATAAGCTTGATGAGGTTCTCTGGGAATTCGATAGTTTCAAAACTGCTGTGACTCTAGCTGAAGGAGAAGGGTCAGGTGCCTTATTACTACTACAAAAATATAAGGTCAGAACAATCTTTTTTAACACTTTAGCTACAGAGCATAGCATCGAGGCAGAAATAGTTTCTGGGACAACCACACCTCGAATGCTCCTTCCTGTAATGGCCAAACTTCATGATGATCAAATAAATGTAATATTAAACAATTCTGCTAGCCAGGTTACTGATATCACTAACCCTGCATGGTTCACTGACCAGAAATCTAGAATCCCCACACAAGTTGAGATTATGACTATGGATGCTGAAACGACAGAAAATATTAATCGGTCAAAATTATATGAGGCTATTCAGCAATTAATTGTTTCACACATTGATACAAGGGTGCTAAAGATTGTTATTATAAAGGTTTTTTTAAGTGATATTGAAGGTCTCCTGTGGCTTAATGACCATCTTGCCCCTTTATTCGGATCCGGCTATTTAATTAAACCTATTACTTCGAGTCCAAAGTCAAGCGAATGGTACTTATGTCTTTCAAATTTCCTTTCAGCCTCTCGACGACGGCCTCATCAGGGTCATGCTACCTGTATGCAAGTCATCCAAACAGCGCTACGACTCCAAGTTCAAAGGAGTTCATACTGGCTTAGCCATTTAGTGCAATATGCTGATATTAATTTGCACTTGAGTTATGTTAATTTGGGTTTCCCTTCATTGGAAAAGGTTCTTTACCATCGATATAACCTAGTTGATTCACGGAAGGGTCCACTGGTCTCGATCCTTTACCATTTAACACACTTGCAAGCAGAGATTAGAGAATTAGTGTGTGACTATAATCAGCAACGACAAAGTCGAACCCAAACATACCACTTCATCAAAACGACAAAGGGCCGGATTACAAAATTAGTCAATGACTACCTTAAATTTTATCTCGTAGTGCAAGCACTGAAGCATAATTGTCTTTGGCAGGAAGAACTCAGAACACTTCCTGACTTAATCAATGTTTGCAATCGATTTTACCATATAAGGGACTGCTCATGTGAAGATCGATTTTTAATTCAAACTCTTTACTTAACCCGTATGCAAGACTCAGAAGCAAAATTAATGGAGAGATTAACCGGGTTTCTAGGATTGTATCCTAATGGTATTAACGCTTAAGATCCCCTTAGAGGCATCGCAATATGACTCCAAACATTAAATGATATTGCTGTCAATACATCTACCTGACCGAGAGCAAGGTTTATTATAAAAAACCTATACACATGACTGCAATGCGTAATTTATACCGAAACACAGTGAGGGCTGCACATGCAGGTTCCTGTTGAGCTTTAAAAGATCATGCAATATAAAATGATATTTGTATACTAATCATGTTAGTACTAACTAACAGTACTCACTGCATATACTCTATCAATTAAGAAAAATTACTGTGGTTTATGCATTTAAATGACATCACAGATGGATATAATATAGTTAATTCTTACCTAAATGTTGAGTTATAGTAATTTGAAGTTATAATTATGATTAGTGCTTATACTATAAATAATAGCTATACCAAGTATACACAAGAAGTTATGATTTTGTATTCAAATTATATTCACAGGAACTTGTGATTAATAATAAAAGTCTCAGTTGTTGGTTGTTGAGTTGTAAAACTCCCGTTAAAAATTTATTTTCCACTTATAACTAATAATAATCATAGATCAGTATGAGTTGAGGCTATTCAAACCTTAGAAAAATTGTGCGATGTTTTTTACCATGTCAATCTTGATTTCAATGATATTGGAGGGCTTGTCGATAAATTCAGTAATTAACATTAAGTCAGTGTGGAACCTCATTGGATATTTGATCGTACACAAAATATCTTTACAAAATTGTTTTCTCTTTTTTGTGTGTCCA >Bundibugyo_ebolavirus_isolate_EboBund-14_2012_complete_genome CGGACACACAAAAAGAATGAAGGATTTTGAATCTTTATTGTGTGCGAGTAACTACGAGGAAGATTAAAGATTTTCCTCTCATTGAAATTGAAATTGAGATTCTAATCTCGACGGATCGATCCCCAATACCAACACTGAGAATTGGCCTGAAGAAGTCATCTGCTCCTTGGCAAAACCAAGAGCAGGCCCAAAGGGCCATTAGGCCACATCTGTTGAGCCTGCAGAACACGCAGGACTTACTTAGCAGAAGAGAGCGCGTGCCGAAGCCAGCCAACAAATTGACACAGCTGCTCACTCTGACCCTGAATTCATAAACAATATTAAGTTGACAACAGAGATACTAATCCAATATTTGGATCAAGAATCAAAATAGTGAAACGACTGACTATCCCTCCTTAGAATTAGCAAAGATCCTTTTGTAGACTATTGTGCTACATTTTCTATCCAAGACCTCAAAATGGATCCTCGTCCAATCAGAACCTGGATGATGCATAACACATCTGAAGTTGAAGCAGACTACCATAAGATTTTAACTGCCGGATTGTCCGTCCAGCAAGGCATTGTGAGACAAAGAATCATTCCTGTTTACCAAATCTCAAACCTGGAGGAAGTATGTCAACTCATCATACAGGCATTCGAGGCCGGTGTCGACTTCCAGGATAGTGCAGATAGCTTTTTGTTAATGCTATGTCTGCATCATGCCTATCAAGGGGATTATAAACAATTTTTGGAAAGTAATGCGGTAAAATACCTTGAAGGTCATGGATTCCGTTTTGAGATGAAGAAAAAGGAAGGTGTCAAGCGCCTGGAGGAACTACTCCCTGCTGCCTCGAGTGGAAAGAACATCAAGAGAACATTGGCTGCAATGCCCGAGGAGGAAACAACAGAAGCAAATGCTGGACAATTTCTTTCATTTGCTAGTCTGTTTCTCCCAAAATTGGTTGTCGGAGAAAAGGCCTGTCTGGAGAAGGTTCAACGACAAATCCAAGTGCACGCAGAACAAGGTCTGATTCAATATCCGACATCTTGGCAATCGGTGGGACATATGATGGTCATCTTCAGACTAATGCGAACCAACTTCCTGATTAAGTTCCTCCTAATACATCAGGGAATGCATATGGTTGCAGGGCATGATGCTAATGATGCCGTCATTGCCAACTCTGTAGCTCAAGCTCGTTTCTCCGGATTGTTGATAGTCAAAACAGTGCTTGATCATATCCTCCAAAAAACAGAGCACGGAGTTCGCCTGCATCCCTTGGCGCGAACAGCCAAAGTCAAAAATGAGGTAAGCTCTTTTAAGGCCGCTTTAGCCTCACTAGCACAACATGGAGAATATGCCCCGTTCGCTCGTCTGCTGAATCTATCTGGGGTTAACAATCTTGAGCATGGGCTTTTCCCTCAACTTTCTGCAATTGCTTTGGGAGTAGCAACTGCACATGGGAGCACTCTGGCAGGAGTCAATGTAGGAGAGCAATACCAACAACTGCGAGAAGCAGCCACTGAGGCCGAAAAGCAGTTGCAGAAATATGCTGAATCTCGTGAACTTGATCACCTAGGTCTTGATGATCAGGAAAAGAAAATCCTAAAAGACTTCCATCAGAAAAAGAATGAGATCAGCTTCCAGCAGACGACAGCCATGGTCACACTGCGGAAAGAGAGATTGGCCAAATTGACTGAAGCTATTACTTCCACCTCCATCCTCAAAACAGGAAGGCGGTATGATGATGACAATGACATACCCTTTCCAGGGCCAATCAATGATAACGAGAACTCTGGTCAGAACGATGACGATCCAACAGACTCCCAGGATACCACAATCCCGGATGTAATAATCGATCCAAACGATGGTGGGTATAATAACTACAGCGATTATGCAAATGATGCTGCAAGTGCTCCTGATGACCTAGTTCTTTTTGACCTTGAGGACGAGGATGATGCTGATAACCCGGCTCAGAACACGCCAGAAAAAAATGATAGACCAGCAACAACAAAGCTGAGAAATGGACGGGACCAGGATGGAAACCAAAGCGAAACTGCATCCCCACGGGCAGCCCCCAACCAATACAGAGACAAGCCAATGCCACAAGTACAGAGCAGATCCGAAAATCATGACCAAACCCTTCAAACACAGCCCAGGGTTTTGACTCCTATCAGCGAGGAAGCAGACCCCAGCGACCACAACGATGGCGACAATGAAAGCATTCCTCCCCTGGAATCAGACGACGAGGGTAGCACTGATACTACTGCAGCAGAAACAAAGCCTGCCACTGCACCTCCCGCTCCCGTCTACCGAAGTATCTCCGTAGATGATTCTGTCCCCTTAGAGAACATTCCCGCACAGTCCAATCAAACGAACAATGAGGACAATGTCAGGAACAATGCCCAGTCGGAGCAATCCATTGCAGAAATGTATCAACATATCTTGAAAACACAAGGACCTTTTGATGCCATCCTTTACTACCATATGATGAAAGAAGAGCCCATCATTTTCAGCACTAGTGATGGGAAGGAGTATACATATCCAGACTCTCTTGAAGATGAATATCCACCCTGGCTCAGCGAGAAGGAAGCCATGAATGAAGACAATAGATTCATAACCATGGATGGTCAGCAGTTTTACTGGCCTGTGATGAATCATAGAAATAAATTCATGGCAATCCTCCAACATCACAGGTGACCCGACCTCTAAAACTGAGCTCTTAACTACAAGCTACCCCATCACTCTGCCGGAATGCCAGAACCTCCCTCCAAAACAGCTCCACATCGAGAACCTCCGACGTGGTACACAGGCAAGACAGGCAACCCAATGATGTTCCTGTTCACCTACAACCGCAACCAACACTTGATCGACTTCCAAGACAACTACAACCCCCTTAGCCAACTCCACCACAGAAGCACTACCCCATAACAACAACCCCAAATCAACGACACTGCATGTAAGTATTGTCTCACCCCAAGATGCTCCCTGGACACCAACAACCCCCTAACCTCCCCAAGTTGTCATTAAGAAAAAATATATGATGAAGATTAAAACCTTCATCGGAGCTATTTCTTCTACGCTTGGTTAGGACCAGTATTCACAAACTATTTTACAATCCCTACCCAATATGACCTCTAACAGAGCAAGGGTGACTTACAACCCACCACCAACAACCACAGGCACACGATCGTGTGGGCCGGAACTTTCCGGGTGGATCTCTGAGCAATTGATGACAGGCAAGATTCCGATTACCGATATCTTCAATGAAATTGAAACCTTACCTAGTATAAGTCCCTCGATCCACTCCAAAATCAAAACCCCAAGTGTTCAAACACGCAGTGTCCAGACCCAAACTGACCCAAATTGTAATCATGATTTTGCAGAGGTTGTGAAAATGCTAACATCTCTAACCCTTGTCGTACAAAAACAAACCCTTGCAACTGAATCACTTGAGCAACGCATTACCGACCTGGAAGGTAGCCTGAAACCAGTGTCTGAGATCACCAAGATTGTTTCTGCACTAAATAGATCCTGTGCAGAGATGGTGGCCAAATATGATCTTCTAGTAATGACAACTGGTCGTGCAACTGCCACTGCTGCAGCTACTGAAGCATACTGGGCAGAACATGGACGTCCTCCACCGGGGCCCTCATTGTACGAAGAGGATGCAATCAGGACTAAAATTGAAAAACAAGGGGATATAGTACCCAAGGAAGTGCAAGAGGCCTTCCGTAATCTGGATAGTACTGCCCTTCTAACGGAAGAGAATTTTGGGAAACCAGACATATCCGCAAAAGACTTGCGCAATATCATGTATGATCACCTCCCAGGTTTTGGCACAGCATTTCATCAACTAGTGCAAGTTATCTGCAAGTTAGGGAAGGACAATTCCTCACTTGATGTAATTCATGCAGAATTTCAGGCCAGCCTTGCTGAAGGAGACTCTCCTCAGTGTGCCCTGATTCAGATAACCAAACGGATTCCTATTTTCCAAGATGCAGCACCACCCGTAATCCATATTCGTTCACGCGGTGATATACCAAAGGCGTGTCAAAAGAGCCTCCGCCCAGTTCCACCATCACCAAAGATTGATAGGGGTTGGGTATGCATATTCCAGCTACAAGACGGAAAAACACTCGGACTCAAAATCTAAGGTGAACAATTGCACAACCTCCACAGTCGCCTATATTGCTTCCTTCCGGAATTAGGGTATGATCGCGTAAAAAATAAGCTTCCAACATATTGATATACGATCCATACCCATAATGCCATCTCCAGGAATATGAGAACGCAAGGCCATATCAGGACCCGATCTCAATTCCAATGCAACCTACTGTTAAGAATAAAATAACCAATGTCCTCTAGCCTCATATGTTCTCAAAAATACAAGTGATGAAGATTAAGAAAAAGCATCCTTTACTTGAGAGGAGCTAATTCTTTATACTTCATCTAATCTTTAAGTAAGTTGATCATTACCACCATGAGGAGGGCAATTCTACCTACTGCACCGCCAGAATACATGGAGGCTGTCTACCCAATGAGAACGGTTAGTACTAATATCAGCAGTACCTCCAGTGGTCCGAACTTTCCAGCACCGGATGTAATGATGAGTGATACACCCTCCAACTCACTCAGACCAATTGCTGATGATAATATCGATCATCCAAGTCATACACCAACCAGTGTTTCATCAGCCTTTATACTCGAGGCAATGGTGAATGTGATATCGGGGCCGAAGGTACTAATGAAGCAAATTCCTATATGGCTCCCCTTGGGTGTTGCTGATCAAAAAACATATAGTTTTGACTCAACTACAGCTGCAATTATGCTCGCATCGTACACCATCACTCACTTTGGCAAAACCTCCAATCCGCTTGTGAGAATCAATCGACTTGGTCCTGGGATCCCTGATCACCCGTTGCGGCTTCTAAGAATAGGAAATCAAGCCTTCTTGCAAGAGTTTGTGCTGCCTCCAGTGCAATTGCCGCAGTATTTCACTTTTGACCTGACGGCTCTAAAGCTGATCACTCAACCTCTCCCGGCAGCAACCTGGACAGATGATACTCCGACCGGTCCTACAGGAATACTTCGTCCTGGAATTTCCTTTCATCCCAAACTGAGACCTATCCTATTGCCAGGGAAGACCGGGAAAAGAGGATCCAGCTCCGATCTTACTTCTCCTGATAAAATACAAGCAATAATGAACTTTCTCCAAGACCTCAAACTCGTGCCGATTGATCCAGCCAAGAACATTATGGGTATTGAAGTGCCGGAACTCTTGGTCCACAGACTAACTGGAAAGAAAATCACAACAAAAAATGGTCAACCAATAATTCCTATTCTTCTACCAAAGTATATTGGCATGGATCCCATTTCTCAGGGAGACCTCACAATGGTCATCACTCAAGACTGTGACACTTGCCATTCTCCTGCTAGTCTTCCTCCAGTCAGCGAGAAATAAGCATGAAGTCCGAGGCTGCCTGGCCCACACGGCCCCCAGGGCCTTCGTCCGACCACCGAACCAACCATCTGACCTTCATCAAAACCAAAAAATACCACCACGCGAAAGCTAAAATGCAGGACCACAATCCAACCAGCAACACCATCCATACACAGGCATCAATTGGGCTACCGCAGCATATAGACCCAATAGCAAGCTGCTGTCCAGAAAACAGTTCCAGAAAGTAACTCAACCATCGCAAGCCCAATGCAGCTTTCAGAAATCCGCCAGCAACCCAACTCCACTGTACCACCAATATTAACCTGAATCGACTAACCGCACTTTAATTTGAAGCACATTTGTTCAATGGGTTCATTATTAACAGTGTTGCTTTTAGATTGTACCTTTGCTCACAGATAGTAAATTGTTATGGTATCTAATCTTATTAAGAAAAAGAACACGATGAAGATTAACGCGACCTAGAGCGCTGCCTTCATCTCATCAATTCAACTTGTCAATAGCGCAACCTAGTTTGTGATTACTCATCTTTCGTAGTTGGCAAACACTTTGCTAATTAATTGTAGATATACCACAGTCATCATGGTTACATCAGGAATTCTACAATTGCCCCGTGAACGCTTCAGAAAAACATCATTTTTTGTTTGGGTAATAATCCTATTTCACAAAGTTTTCCCTATCCCATTGGGCGTAGTTCACAACAACACTCTCCAGGTAAGTGATATAGATAAATTGGTGTGCCGGGATAAACTTTCCTCCACAAGTCAGCTGAAATCGGTCGGGCTTAATCTAGAAGGTAATGGAGTTGCCACAGATGTACCAACAGCAACGAAGAGATGGGGATTCCGAGCCGGTGTTCCACCCAAAGTGGTGAACTACGAAGCTGGGGAGTGGGCTGAAAACTGCTACAACCTGGACATCAAGAAAGCAGATGGTAGCGAATGCCTACCTGAAGCCCCTGAGGGTGTAAGAGGCTTCCCTCGCTGCCGTTATGTGCACAAGGTTTCTGGAACAGGGCCGTGTCCTGAAGGTTTCGCTTTCCACAAAGAAGGCGCTTTCTTCCTGTATGATCGACTGGCATCAACAATCATCTATCGAAGCACCACGTTTTCAGAAGGTGTTGTGGCTTTCTTGATCCTCCCCAAGACTAAAAAGGACTTTTTCCAATCACCACCACTACATGAACCGGCCAATATGACAACAGACCCATCCAGCTACTACCACACAGTCACACTTAATTATGTGGCTGACAATTTTGGGACCAATATGACTAACTTTCTGTTTCAAGTGGATCATCTAACTTATGTGCAACTTGAACCAAGATTCACACCACAATTTCTTGTCCAACTCAATGAGACCATTTATACTAATGGGCGTCGCAGCAACACCACAGGAACACTAATTTGGAAAGTAAATCCTACTGTTGACACCGGCGTAGGTGAATGGGCCTTCTGGGAAAATAAAAAAACTTCACAAAAACCCTTTCAAGTGAAGAGCTGTCTGTCATACTTGTACCAAGAGCCCAGGATCCAGGCAGCAACCAGAAGACGAAGGTCACTCCCACCAGCTTCGCCAACAACCAAACCTCCAAGAACCACGAAGACTTGGTTCCAAAGGATCCCGCTTCAGTGGTTCAAGTGCGAGACCTCCAGAGGGAAAACACAGTGCCGACCTCACCCTTGAACACAGTCCCCACAACTCTGATCCCCGACACAATGGAGGAACAAACCACCAGCCACTACGAACTACCAAACATTTCCGGAAACCATCAAGAGAGGAACAACACCGCACACCCCGAAACTCTCGCCAACAATCCTCCAGACAACACAACCCCGTCGACACCACCTCAAGACGGTGAGCGGACAAGTTCCCACACAACACCCTCCCCCCGCCCAGTCCCAACCAGCACAATCCATCCCACCACACGAGAGACTCAAATTCCCACCACAATGATAACAAGCCATGATACTGACAGTAATCGACCCAACCCAATTGACATCAGCGAGTCTACAGAGCCAGGACTACTCACCAACACCATAAGAGGGGTTGCAAATTTGCTGACAGGTTCAAGAAGAACCCGGAGGGAAATCACCTTGAGAACACAAGCCAAATGTAATCCGAACCTACACTATTGGACAACCCAAGATGAAGGGGCTGCCATTGGTCTAGCCTGGATACCTTACTTCGGGCCCGCAGCAGAGGGAATTTATACGGAAGGAATAATGCACAATCAAAATGGGCTAATTTGCGGGTTGAGGCAGCTAGCAAATGAGACGACTCAAGCCCTACAGTTATTCTTGCGTGCTACCACGGAATTGCGCACTTTCTCCATATTGAATCGAAAAGCCATCGACTTTTTACTTCAAAGATGGGGAGGAACGTGCCACATCTTAGGCCCAGATTGCTGTATTGAGCCCCATGATTGGACTAAGAACATTACTGACAAAATAGATCAAATCATTCATGATTTCATTGATAAACCTCTACCAGATCAAACAGATAATGACAATTGGTGGACAGGGTGGAGGCAATGGGTTCCTGCCGGGATTGGGATCACGGGGGTAATAATCGCAGTTATAGCACTGCTGTGTATTTGCAAATTTCTACTCTAATCTAGTCCGACTCTGTACCAGCATAATGGCCTCTAAAATAAGCTTTTGCTTCTGCTTCCTATAGTTAATACATCTCAGCAAAAATCAACTATTAAGTTAAAAGAAGATCCCTCTAATAATCCTAATTACCTTCAAAAATCTAGAACTTTATTAATTCTCAGGGTATTTAGAACAGCCAGATGACTTGACTAAGTTTGTACTGTAATAAAAAGATACTTGATGAAGATTAAGAAAAAAACAGTCTTGTGATTGTCACTAATCTTCATCTCAAAACATATTATTTTACCAGAAGCTACCATAGCCTACCTCCTTGACACATAGCAAACCTTACTCATGTTGATAATTGTTTGCCTGCTATTTACATATTTACTAACTTACAAAATTATCTTGGGGATTTCTCTGAACATATAATCAGGATTGGCATTTAAAACACAAGTTAGTCCTAATGGACTCATTTCATGAAAGAGGGCGTAGCAGAACTATTCGACAGAGTGCAAGAGATGGGCCGAGTCATCAAGTAAGAACAAGATCATCCTCCAGAGACAGCCACCGCAGCGAATATCATACACCTAGGAGCTCTTCCCAAGTTCGAGTCCCGACTGTGTTTCATCGGAAGCGTACTGATTTTTTGACAGTTCCACCAGCACCAAAGGACATATGTCCTACCTTAAGGAAAGGATTTTTGTGTGACAGCAATTTTTGTAAAAAAGACCATCAACTAGAAAGTTTAACAGATAGGGAGCTGCTTTTGCTGATTGCACGGAAAACCTGCGGCTCCCTTGAACAACAATTGAACATCACTGCTCCTAAAGATACACGATTAGCAAATCCAATTGCAGATGATTTCCAACAAAAAGACGGCCCAAAAATTACACTATTGACACTTTTGGAGACTGCGGAGTATTGGTCAAAACAAGATATCAAGGGCATTGATGATTCAAGACTAAGAGCATTACTAACCCTTTGTGCCGTCATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTATTGTGTGAGAGTCATCTACGACGAGAAGGGCTAGGACAGGATCAATCAGAATCTGTTCTTGAAGTGTACCAGCGCTTGCATAGCGACAAAGGCGGAAATTTTGAGGCAGCCCTATGGCAACAATGGGACCGACAGTCCTTGATCATGTTTATAACAGCATTTCTTAATATTGCTTTACAATTACCCTGTGAAAGTTCATCTGTTGTTATTTCAGGATTAAGGCTGCTAGTGCCTCAATCAGAAGATACCGAGACCTCAACCTACACCGAGACACGTGCATGGTCAGAGGAAGGTGGCCCCCATTAACATCTTCCACAGTTGAATCTACCATAACTTCCCTATTCAACGCAGGTAAGAATCAGTACTAAACCACAAGTGCAAAAATTAACAAAACACCAGCATAAGTGAAATCTTGTCTGTGATTAGCAAGACGAATGATCTTCAATCCTGTTGCAATTCGCCAGTGATAATTGTATTCACATTGTGGCCACAATATACTGTTTTTTCCATTGAAAAACAAGGCTGAATCTATTGCGCTACACAAACTTACAGGATTAGCACCACGACGGCTCAATACTATACCTATTGGTCACGGCTCGATGTGTTAATCACTTATATTGTATTCATTTGAAATTATTCATTAGGCAAATATTTTGATTAAGAAAAAATAATTGGAAAACCAGAAAATCCCTAGGTATTTAAATTCCTATCTCCGGAGATCCGAGATAATTAATCAAGCAATGAAGGAACAATGGTGAACAACAACATATTGTTGCCCCCTTTAGATTGGTCAGTTCCAAAAACAAGTGATGAAGATTAATGCAGATGTCCAAGGAACACATATTTGTGATTTAAACGTTCCAGTTAGACTCTGTTCAAGGATCTTCATCTTTTGTAGCTCCACTCTGAGTCACAACATAATTGAGTTTTTGCTCAGAACAGTTATCAGGATTAAATTCTCTCAAATAACTGAAACTACTAGCATCACTCTCAATTTCATTACTTACGACAATCATTATCTTAATAATATTTCCCTAAATTACTGACTTAATCAGCTTGTAATCAGATAATATCGAAACCAATTTATCATAAGGTATAATTTGTATAAGTGATTTAGGATTTACCCCAGAAGTGAAATAATTCTTAGAATAAAAGACCGACTAGAATATCCTTAAGGCTGTCTGACGTGCCACACAGCTAGGGTTAGCCTGACATCTGGAACAAGATCGATACTAATATAGGGATTTGTTTCATACTAACTCTCTGCAAACACAATGGCTAAGGCAACAGGTAGGTACAACTTGGTTTCACCTAAAAAGGACCTCGAGAGGGGGCTAGTTTTGAATGATTTGTGCACGTTTTTAGTTGATCAGACTATCCAGGGGTGGCGGGTGACTTGGGTTGGGATTGAATTTGATATCGCCCAGAAAGGGATGGCTCTACTGCATCGGTTAAAAACTGCTGACTTCGCTCCTGCATGGTCGATGACAAGGAATTTATTTCCTCATTTATTCCAAAATTCAAATTCTACTATTGAGTCTCCCCTCTGGGCATTACGAGTGATTCTGGCAGCTGGTATTCAAGACCAGTTAATTGACCAATCCTTGGTAGAACCGTTGGCCGGAGCCCTGAGTTTAGTCTCCGATTGGCTTCTCACAACAAACACAAACCATTTTCAAATGCGCACGCAGCACGCTAAAGAGCAACTGAGCTTGAAGATGCTATCATTAGTGCGCTCTAATATCCTGAAATTCATCAGTCAATTGGACGCACTACATGTCGTGAACTACAATGGACTCTTGAGCAGTATCGAAATTGGCACTAGAAATCATACCATTATCATCACAAGAACCAACATGGGTTTCCTGGTAGAATTACAGGAGCCTGATAAATCTGCCATGAATCAAAAGAAACCAGGACCAGTCAAGTTCTCCCTCCTGCATGAATCAACCTTCAAGGCTCTAATCAAAAAACCCGCAACTAAGATGCAGGCCTTGATTCTGGAATTTAACAGCTCCCTGGCAATATAGTCCAACGATACCAACCATCATTTTTTGTAACTGCATCTCTTTTATTTCCTTTCTAACTTGATACAATTATAATCAAGATCCCTAATCCCTTTTGACGAAGTGGGCTAATTTTTGCTCATTCTAATAATAAATCATAACCTGAATAAAAGACACCACAATATTATAACCCAATAACACCTAGAGAATTGCTAAATTGCTAAAGATTATATACTCGCACTAAGGGACAAGTTAATCAATCTTTACTTAATAATATACTAAATGCTAGATAGCTCTGGCTAATTAACCTGAGTTGTGGATTACTCCTTTTAAAAGTCTATCAATTTAAGCTTATCACTAATATTAAGGAGGACTTTTTAAATAAGAGCAAGTGTTATGTAGTCTTACTAAGAATGATTTGAGGAAGATTAAGAAAAAGTGCTTGTGGGGTCTTTCCGTTGTGGAGGACACACGAGCAAACTTCTTCCTCTAATTTTAATATGGCAACTCAACATACACAATATCCAGATGCAAGATTATCTTCACCCATTGTCTTAGATCAATGTGATCTTGTCACTCGTGCTTGCGGTCTGTATTCTTCATATTCATTAAATCCTCAGTTGAAAAATTGTAGACTACCAAAACATATTTACCGCCTCAAATTTGATGCTACGGTTACAAAATTTTTAAGCGATGTTCCAATAGTTACATTGCCAATAGATTACTTGACCCCTTTACTTTTACGAACTTTATCCGGGGAGGGCTTATGCCCTGTCGAACCAAAGTGCAGCCAATTCTTAGATGAAATAGTAAGTTATGTTTTGCAGGATGCACGTTTTTTAAGACACTATTTTAGGCATGTTGGAGTACACGATGACAATGTGGGGAAAAATTTTGAGCCAAAGATTAAGGCTTTGATTTATGATAATGAATTTCTGCAACAATTGTTTTATTGGTACGATTTAGCAATCCTAACGCGTAGAGGGCGCCTGAATCGAGGGAATAACCGTTCAACATGGTTTGCAAATGACGATTTAATAGACATTCTCGGGTACGGTGATTATATTTTCTGGAAAATACCGTTGTCATTGTTGTCACTCAACACAGAGGGGATTCCTCATGCAGCTAAGGACTGGTATCACGCATCAATCTTCAAAGAAGCGGTTCAAGGTCACACACATATCGTGTCAGTTTCCACTGCAGATGTTTTAATTATGTGTAAGGACATCATAACCTGTCGTTTCAATACCACACTCATTGCAGCATTGGCAAATTTAGAAGATTCTATCTGTTCTGACTATCCACAACCTGAAACAATCTCTAATCTGTATAAAGCAGGGGATTACTTAATTTCGATATTGGGTTCAGAAGGTTATAAGGTCATAAAGTTTTTAGAACCACTATGTTTAGCTAAGATCCAATTGTGCTCAAATTACACTGAGAGGAAAGGGAGATTCCTTACTCAAATGCATTTGGCCGTTAATCACACACTTGAAGAACTTATTGAGGGCCGGGGATTGAAGTCACAACAAGACTGGAAGATGAGGGAATTTCACCGAATCTTAGTAAATTTAAAGTCAACACCACAACAACTCTGTGAATTGTTTTCAGTGCAAAAGCATTGGGGGCATCCTGTGCTACATAGTGAGAAGGCTATTCAGAAAGTAAAGAAACATGCAACCATAATAAAAGCATTGCGTCCTATAATCATCTTTGAGACATATTGTGTGTTCAAGTACAGCATTGCCAAACATTATTTTGATAGCCAAGGGTCATGGTATAGTGTAATCTCAGATAAACATCTAACACCAGGTTTACATTCTTACATTAAGAGGAACCAATTTCCGCCACTGCCTATGATTAAAGACTTATTGTGGGAATTCTATCACCTTGATCATCCTCCCTTATTTTCCACCAAGATTATTAGTGACTTGAGTATTTTCATTAAGGATCGCGCTACCGCAGTGGAAAAAACATGTTGGGATGCAGTTTTCGAACCTAATGTTCTTGGATATAGTCCTCCAAACAAGTTCTCAACTAAGAGGGTTCCTGAACAGTTTCTTGAACAAGAAAATTTCTCGATTGATAGTGTTCTCACTTATGCCCAGCGCCTGGATTATCTACTTCCACAATACCGGAATTTTTCTTTCTCACTTAAGGAAAAGGAATTAAATGTAGGACGAGCTTTTGGTAAGCTACCTTATCCTACACGTAATGTTCAAACTTTATGTGAAGCCTTATTGGCAGATGGATTAGCTAAAGCCTTTCCTAGTAACATGATGGTTGTAACAGAGCGTGAACAGAAGGAAAGCCTCTTGCACCAGGCGTCGTGGCACCACACAAGTGACGATTTCGGTGAGAATGCCACTGTTAGAGGCAGCAGTTTTGTTACCGACCTAGAAAAATACAACTTGGCATTTAGATATGAGTTTACAGCTCCATTTATTGAATACTGTAATCGATGTTATGGTGTAAAAAATTTATTCAATTGGATGCATTATACGATACCGCAATGTTATATACATGTAAGTGATTATTATAATCCCCCTCATGGAGTTTCGCTAGAAAATCGGGAAGATCCTCCGGAAGGCCCTAGCTCTTACCGGGGTCATCTTGGGGGAATTGAGGGACTCCAACAGAAACTCTGGACCAGCATTTCATGTGCGCAAATCTCATTAGTTGAGATCAAGACTGGTTTCAAGTTGAGATCTGCGGTAATGGGTGATAATCAATGCATCACAGTTCTTTCCGTATTCCCTCTAGAGACAGATTCCAATGAGCAAGAGCATAGCTCCGAGGACAATGCTGCTCGCGTAGCAGCCAGTTTAGCCAAAGTCACGAGTGCCTGTGGCATCTTCCTAAAACCAGATGAGACTTTTGTGCATTCAGGCTTTATTTATTTCGGTAAGAAGCAATATTTAAATGGCGTTCAATTGCCACAATCACTCAAGACTGCTACCAGGATTGCTCCCTTGTCAGATGCAATCTTTGATGACCTTCAGGGAACTCTGGCTAGTATAGGAACGGCATTTGAGAGATCTATATCCGAGACTAGACATGTATACCCTTGCCGGGTGGTTGCCGCATTCCATACATTCTTCTCCGTTAGGATCCTCCAATACCACCACCTTGGTTTCAACAAAGGAACTGATCTAGGTCAACTATCACTAAGCAAACCGTTGGATTTCGGAACTATCACTCTTGCTTTAGCGGTACCTCAAGTTCTAGGAGGTTTATCGTTTTTGAACCCAGAAAAATGTTTTTATCGCAACCTTGGAGACCCCGTGACCTCTGGCCTATTCCAACTTAGGACTTACCTGCAAATGATCAACATGGACGACTTATTTCTACCTTTAATTGCCAAGAACCCCGGGAACTGTAGTGCAATTGACTTTGTACTCAACCCAAGCGGATTGAATGTCCCTGGGTCACAAGACCTAACATCTTTTTTACGTCAGATAGTGCGTAGAACAATCACATTGAGTGCAAAAAATAAGCTAATAAACACATTGTTTCACTCCTCAGCCGATTTAGAAGATGAGATGGTATGTAAATGGCTACTTTCTTCAACACCTGTAATGAGTCGGTTTGCTGCTGATATATTCTCTCGTACTCCGAGTGGGAAGCGCCTGCAGATCCTAGGTTATTTAGAAGGGACTAGAACCTTGCTAGCCTCCAAAGTCATCAATAACAATGCAGAGACTCCTATTTTAGATAGGTTGAGGAAAATCACACTGCAGAGATGGAGTTTATGGTTTAGCTACCTAGACCACTGTGATCAGGTTCTAGCAGATGCTTTAATAAAAGTTTCTTGTACAGTTGATTTGGCGCAAATTTTACGTGAATATACCTGGGCACACATACTAGAGGGAAGACAGCTCATTGGTGCAACACTTCCTTGCATGTTAGAACAATTTAATGTGTTTTGGCTCAAATCGTACGAACAATGCCCTAAATGTGCAAGATCTAGAAATCCAAAAGGAGAGCCATTTGTGTCAATTGCAATTAAGAAACAAGTTGTGAGTGCATGGCCGAATCAGTCACGGTTAAATTGGACCATTGGGGACGGTGTACCTTACATCGGGTCTCGAACAGAGGACAAGATTGGGCAGCCAGCAATCAAGCCTAAGTGTCCCTCTGCTGCCTTACGTGAAGCAATAGAGTTGACATCTAGACTAACATGGGTTACCCAAGGTGGTGCCAATAGTGATTTGCTAGTCAAACCTTTTGTAGAAGCACGAGTAAACCTGAGTGTGCAGGAGATCCTTCAAATGACGCCTTCTCATTATTCAGGGAACATCGTACATCGGTATAATGACCAATACAGCCCTCATTCTTTCATGGCAAATAGAATGAGTAATTCCGCGACGAGATTGGTGGTGTCGACAAATACTCTCGGGGAGTTCTCAGGTGGGGGGCAATCAGCAAGGGACAGCAATATCATCTTTCAAAATGTAATCAATTTTGCGGTTGCCCTATTTGATTTACGATTTCGGAACACCGAAACATCCTCCATTCAGCATAACCGTGCCCATCTCCATCTTTCACAGTGTTGCACACGGGAAGTCCCAGCTCAATACCTAACCTACACGTCTACGCTTTCCTTGGATCTCACAAGGTACCGAGAGAATGAGTTAATTTATGATAACAATCCATTAAAAGGTGGACTTAATTGCAACCTATCCTTTGATAATCCACTTTTCAAGGGCCAAAGGCTCAATATCATAGAGGAGGATTTGATTAGATTTCCACATTTATCTGGGTGGGAACTTGCGAAAACCATCATTCAGTCCATTATCTCAGACAGCAATAACTCATCCACAGACCCCATTAGCAGTGGAGAAACACGATCATTCACAACTCACTTTCTCACATATCCTAAGGTTGGGCTCCTCTATAGTTTCGGCGCCATCGTGAGTTATTACTTAGGGAATACCATTATTAGGACCAAAAAGCTAGACCTCAGTCATTTCATGTATTACTTAACAACTCAAATCCATAATTTGCCACATCGCTCGTTGAGGATACTTAAGCCCACTTTTAAACATGTTAGTGTGATATCAAGACTAATGAGTATTGATCCTCATTTTTCAATCTACATCGGGGGTACAGCAGGTGATCGAGGGCTTTCGGATGCTACCAGACTATTCCTTCGAGTGGCCATTTCTTCCTTCCTTCAATTTGTCAAAAAGTGGATCGTGGAATACAGGACAGCTATTCCTCTGTGGGTTGTATACCCTTTGGAGGGACAAAATCCAGATCCAATTAATAGCTTTCTACATCAGATTATAGCCTTACTGCAAAATGAATCCCCTCAAAACAACATCCAATTCCAAGAAGGCAGAAATAATCAACAGTTGTCCGATAATCTAGTTTACATGTGCAAGAGCACTGCCAGTAATTTCTTCCATGCATCACTTGCCTATTGGAGGAGCCGGCACAAAGGACGGCCCAAAAATCGATCGACCGAAGAACAGACAGTTAAACCCAGACCATATAATAATTTTCATTCTGTTAAATGTGCCTCAAACCCACCAAGCATCCCCAAATCTAAGTCAGGAACTCAAGGCTCAAGCGCATTTTTTGAGAAACTTGAATATGATAAAGAAATAGAATTGCCAACAGCTTCCACACCAGCCGAAAAACCCAAGACCTATACCAAGGCCCTATCCAGCCGAATTTACCATGGTAAAACACCATCCAATGCCGCAAAAGATGATTCAACAACCTCCAAGGGCTGCGATTCCAAAGAAGAAAATGCCGTTCAAGCTTCACACCGAATTGTCCTACCATTTTTTACATTGTCACAGAACGGCTACAGAACTCCCTCAGTTAAAAAGTCAGAGTATGTAACTGAAATCACCAAACTAATTCGACAATTAAAGGCAATTCCAGATACCACTGTATACTGTCGCTTTACAGGGGTTGTGTCTTCAATGCATTATAAGCTTGATGAGGTTCTCTGGGAATTCGATAGTTTCAAAACTGCTGTGACTCTAGCTGAAGGAGAAGGGTCAGGTGCCTTATTACTACTACAAAAATATAAGGTTAGAACAATCTTTTTTAACACTTTAGCTACAGAGCATAGCATCGAGGCAGAAATAGTTTCTGGGACAACCACACCTCGAATGCTCCTTCCTGTAATGGCCAAACTTCATGATGATCAAATAAATGTAATATTAAACAATTCTGCTAGCCAGGTTACTGATATCACTAACCCTGCATGGTTCACTGACCAGAAATCTAGAATCCCCACACAAGTTGAGATTATGACTATGGATGCTGAAACGACAGAAAATATTAATCGGTCAAAATTATACGAAGCTATCCAGCAATTAATTGTTTCACACATTGATACAAGGGTGCTAAAGATTGTTATTATAAAGGTTTTTTTAAGTGATATTGATGGTCTACTGTGGCTTAATGACCATCTTGCCCCTTTATTCGGATCCGGCTATTTAATTAAGCCGATTACTTCGAGTCCAAAGTCAAGCGAATGGTACTTATGTCTTTCAAATTTCCTTTCAGCTTCTCGACGACGGCCTCATCAGGGTCATGCTACCTGTATGCAAGTCATCCAAACAGCGCTACGACTCCAAGTTCAAAGGAGTTCATACTGGCTTAGCCATTTAGTGCAATATGCTGATATTAATTTGCACTTGAGTTATGTTAATTTGGGTTTCCCTTCATTGGAAAAGGTTCTTTACCATCGATATAACCTAGTTGATTCACGGAAGGGTCCACTGGTCTCGATCCTTTACCATTTAACACACTTGCAAGCAGAAATTAGAGAATTGGTGTGTGACTATAATCAGCAACGACAAAGTCGAACCCAAACATACCACTTCATCAAAACGACAAAGGGCCGGATTACAAAATTAGTCAATGACTACCTTAAATTTTATCTCGTAGTGCAAGCACTGAAGCATAATTGTCTTTGGCAGGAAGAACTCAGAACACTTCCTGACTTAATCAATGTTTGCAATCGATTTTACCATATAAGGGACTGCTCATGTGAAGATCGATTTTTAATTCAAACTCTTTACTTAACCCGTATGCAAGACTCAGAAGTAAAATTAATGGAGAGATTAACCGGGTTTCTAGGATTGTATCCTAATGGTATTAACACTTAAGATCCCCTTAGAGGCATCGCAATATGACTCCAAACATTAAATGATATTGCTGTCAATATATCTACCTGACCGAGAGTAAGGTTTATTATAAAAAATCTATACACATGACTGCAATGCGTGATTTATACCGAAACACAGTGAGGGCTGCACATGCAGGTTCCTGTTGAGCTTAAAAAGATCATGCAATACAAAATGATATTTGTATACTAATCATGTTAATACTAACTAACAGTACTCACTGCATATACCATATCAATTAAGAAAAATTACTGTGGTTTATGCATTTAAATGACATCACGGATGGATATAATATAGTTAATTCTTACCTAAATGTTGAGTTATAGTAATTTGAAGTTGTAATTATGATTAGTGCTTATACTATAAATAATAGCTATACCAAGTATACACAAGAAGTTATGATTTTGTATTTAAGTTATATTCACAGGAACTTGTGATTAATAACAAAAGTCTCAGTTGTTGGTTGTTGAGTTGCAAAACCCCCGTTAAAAATTTATTTTCCACTTATAACTAATAATAATCATAGATCAGTATGAGTTGAGGCTATTTAGACCTTAGAAAAATTGTGCGATGTTTTTTACCATATCAATCTTGATTTCAATGATATTGGAGGGCTTGTCGATAAATTTAGTAATTAACATTAAGTCAGTGTGGAACCTCATTGGATATTTGATCGTACACAAAAATATCTTTACAAAATTGTTTTCTCTTTTTTGTGTGTCC >Cote_dIvoire_ebolavirus_complete_genome CGGACACACAAAAAGAAAGAAGGTTTTTTGATCTTTATTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGACACTTACATTAAGATTAAGATTCTCATTGATCTGTTACTTACTCTGAGGATAATAATTGGTGTTCAGAAGTACCCCATTCCCCAGTGGGGGCAAAGACAGTCCAAAAGACTCAACTTGTCCTATTCAACTAATCTGTTTTGTCTCAGTAGTTCACATATTGATCATACCCAGGAGTTGGACCTAATTCCAAAGCTTAGAGTGGGACCTAGTGTATCCTCGGGGCTGTAATATAATCAGCCATTTAACACATAACAAGCCCTACTGTTTTCTTGTTTTGCCGTGCATTTAGAATAAGAGACAACTTAAACCTCCGATTCGGCAACACAGGGAATAATCTCACCAGACCCGGCAGTGTCTTCAGGCTTCATAGCCCCAAGATGGAGAGTCGGGCCCACAAAGCATGGATGACGCACACCGCATCAGGTTTCGAAACAGATTACCATAAGATTTTAACAGCAGGATTGTCAGTCCAACAAGGCATTGTGAGACAACGGGTCATTCAAGTCCACCAGGTTACAAACCTAGAAGAAATATGCCAATTGATCATTCAAGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCAGACAGTTTCTTGCTGATGCTATGTTTACATCATGCTTATCAGGGTGACTACAAGCAATTCTTGGAAAGCAATGCAGTCAAGTACCTTGAGGGTCATGGCTTTCGCTTTGAGGTCAGGAAAAAGGAAGGAGTCAAGCGACTCGAAGAATTGCTTCCTGCTGCATCCAGTGGCAAGAGCATCAGGAGAACACTGGCTGCAATGCCTGAAGAGGAGACAACAGAAGCAAATGCCGGACAGTTCCTCTCTTTTGCTAGCTTATTTCTTCCTAAGCTAGTTGTCGGAGAAAAAGCCTGTCTAGAAAAGGTGCAGCGGCAAATTCAAGTTCATTCTGAGCAGGGATTGATCCAATACCCCACAGCCTGGCAGTCAGTTGGACACATGATGGTCATTTTCAGACTGATGAGAACAAATTTTCTAATTAAGTTCCTCCTTATACATCAAGGGATGCATATGGTAGCAGGACACGATGCTAACGATGCTGTCATCGCAAACTCTGTAGCTCAAGCACGTTTTTCAGGATTATTGATCGTTAAAACAGTGCTAGATCACATCCTTCAGAAAACAGAGCACGGAGTGCGTCTTCATCCTTTGGCAAGAACTGCTAAGGTCAAGAACGAAGTAAATTCCTTTAAGGCTGCCCTTAGCTCGCTAGCACAACATGGAGAGTATGCTCCTTTTGCTCGCTTGCTGAATCTTTCTGGAGTCAACAATCTCGAGCACGGACTGTTTCCTCAGCTTTCTGCAATTGCCCTAGGTGTCGCAACGGCACACGGCAGTACCCTGGCAGGAGTAAATGTGGGGGAACAGTATCAGCAACTACGAGAAGCAGCCACTGAGGCAGAAAAACAATTGCAGAAATACGCTGAATCTCGCGAGCTTGACCATCTAGGTCTCGATGATCAAGAGAAGAAGATCTTGAAAGACTTCCATCAGAAGAAAAATGAAATCAGCTTCCAGCAGACAACAGCCATGGTCACACTACGGAAGGAAAGGCTAGCCAAGCTCACTGAGGCAATCACCTCCACATCCCTTCTCAAGACAGGAAAACAGTATGATGATGACAACGATATCCCCTTTCCTGGGCCCATCAATGATAACGAAAACTCAGAACAGCAAGACGATGATCCAACAGATTCTCAGGACACTACCATCCCTGATATCATTGTTGACCCGGATGATGGCAGATACAACAATTATGGAGACTATCCTAGTGAGACGGCGAATGCCCCTGAAGACCTTGTTCTTTTTGACCTTGAAGATGGTGACGAGGATGATCACCGACCGTCAAGTTCATCAGAGAACAACAACAAACACAGTCTTACAGGAACTGACAGTAACAAAACAAGTAACTGGAATCGAAACCCGACTAATATGCCAAAGAAAGACTCCACACAAAACAATGACAATCCTGCACAGCGGGCTCAAGAATACGCCAGGGATAACATCCAGGATACACCAACACCCCATCGAGCTCTAACTCCCATCAGCGAAGAAACCGGCTCCAATGGTCACAATGAAGATGACATTGATAGCATCCCTCCTTTGGAATCAGACGAAGAAAACAACACTGAGACAACCATTACCACCACAAAAAATACCACTGCTCCACCAGCACCTGTTTATCGGAGTAATTCAGAAAAGGAGCCCCTCCCGCAAGAAAAATCCCAGAAGCAACCAAACCAAGTGAGTGGTAGTGAGAATACCGACAATAAACCTCACTCAGAGCAATCAGTGGAAGAAATGTATCGACACATCCTCCAAACACAAGGACCATTTGATGCCATCCTATACTATTACATGATGACGGAGGAGCCGATTGTCTTTAGCACTAGTGATGGGAAAGAATACGTATACCCTGATTCTCTTGAAGGGGAGCATCCACCGTGGCTCAGTGAAAAAGAGGCCTTGAATGAGGACAATAGGTTTATCACAATGGATGATCAACAATTCTACTGGCCTGTAATGAATCACAGGAACAAATTCATGGCTATCCTTCAGCACCACAAGTAATTTCTTCATAATGACAGATCATTGTAAGGTTATTACCACCATCCCTGCAACAAAGCATGAAAACCACACTCAACAACGCCCTACCACAGGATACCTTGGAGACCATACACCAAGATCAGCAGCTGTGCAACCACCCCCATGCGAATCCACCACCACAACCACCAAACAATAATCCCAAGACCAAACCGCACACATCCAGATCAACCCAAACCCTCAAACACCACCCCACTCCGCGATCCCAGACCAAACTCCGCCCCAGACAAGCACCCCACCCATCCCAGAAACCGCACGGCCGAGAATCGATCCCCAGCATTCAAAATGCGTTATTAAGAAAAAACATATGATGAAGATTAAAACCTTCATCAACATTGCACAGACTTTGATCCTTAGGAGTTTATTCTAGCTATCTACAAAACGGGTCCAAAACGGAATGATTTCCACTAGGGCTGCAGCAATCAATGATCCTTCATTACCAATCAGAAACCAGTGTACACGTGGCCCTGAACTATCAGGATGGATCTCCGAACAATTAATGACAGGCAAAATTCCGGTACATGAAATCTTCAACGACACTGAGCCCCACATAAGCTCAGGGTCCGACTGCCTTCCCAGACCCAAAAACACGGCCCCCCGGACTCGCAACACCCAGACACAGACCGATCCGGTTTGCAATCACAATTTTGAAGACGTTACACAAGCACTAACATCATTAACCAATGTCATACAAAAACAGGCTCTTAACTTAGAGTCTCTCGAACAACGCATCATAGATCTAGAGAATGGCTTAAAGCCAATGTATGACATGGCTAAAGTCATTTCTGCATTGAATAGATCTTGTGCTGAGATGGTAGCAAAATATGATCTCCTGGTGATGACAACTGGCCGCGCAACCGCCACCGCCGCTGCAACTGAGGCTTATTGGGAGGAACATGGACAACCACCACCTGGACCATCACTTTATGAAGAGAGTGCGATTAGAGGCAAGATTAACAAGCAAGAGGATAAAGTACCTAAGGAAGTTCAAGAAGCTTTTCGTAATCTGGACAGTACCAGCTCACTAACAGAAGAGAACTTTGGCAAGCCAGATATATCTGCAAAGGACCTACGAGACATCATGTATGACCACCTACCAGGCTTCGGTACGGCTTTTCACCAACTGGTCCAGGTAATTTGCAAGCTAGGAAAAGACAATTCTGCATTGGACATTATTCATGCTGAGTTCCAAGCCAGCCTTGCTGAAGGTGATTCTCCCCAATGTGCCCTGATCCAAATAACAAAACGGATCCCCATCTTCCAGGATGCCACTCCGCCCACAATTCACATCCGCTCTCGTGGTGACATCCCACGTGCCTGCCAAAAAAGTCTCCGTCCAGTTCCTCCATCACCAAAAATAGACAGAGGTTGGGTTTGCATTTTCCAATTGCAGGACGGGAAGACACTTGGGCTCAAGATATAGGGTCCCCCAGTCAAAGACACGTGCGGTCCCATCCTCCCTCACCTTCAGACATCAACGCATGGCAGTCCCAAACACCGGTGAGGGAGGCGCCCGGCGACAACACATGATGATAGGCTGATCTTCGGGATAAGAGACATGAAAAACCAAAAAGCCGTTTACATCCAGATCCAAGATCAAGAGTGGCTTGGAAATAAGGGGCACTTGTTCTTTGTCTCAAAGGACTTACAAAAACAAGGGTGATGAAGATTAAGAAAAAGCCTCCTTCAGTTGCAAGGAGCTAATTCTTAAAACTTCATCTAGACTAAGGATAAATCGATTCCAATCACGATGAGGAGAATCATCCTACCCACGGCACCACCTGAATACATGGAGGCTGTTTACCCAATGAGAACAATGAATTCTGGTGCAGACAACACTGCCAGTGGCCCTAATTACACAACAACTGGTGTGATGACAAATGATACTCCCTCTAATTCACTCCGACCAGTTGCAGATGATAATATTGATCATCCGAGCCACACGCCTAACAGTGTTGCCTCTGCATTTATATTGGAAGCTATGGTGAATGTAATATCTGGCCCGAAAGTGCTGATGAAGCAAATCCCAATCTGGCTTCCTCTGGGTGTCTCTGACCAGAAGACATATAGCTTTGATTCAACCACTGCTGCCATTATGCTAGCATCATATACCATCACTCATTTTGGCAAAACCTCAAATCCCCTTGTGAGAATCAACCGACTTGGTCCTGGCATACCTGATCACCCACTACGACTCCTAAGAATAGGAAATCAAGCCTTCCTACAAGAGTTTGTGCTACCTCCTGTACAACTGCCACAATACTTCACTTTTGATCTGACAGCGCTGAAGCTGATCACCCAGCCACTCCCAGCGGCAACCTGGACAGATGAAACTCCAGCTGTGTCAACTGGCACGCTCCGCCCAGGGATCTCATTCCATCCCAAATTAAGGCCTATCCTGCTACCAGGAAGAGCTGGAAAGAAGGGCTCCAACTCCGATCTAACATCTCCTGACAAAATCCAGGCTATAATGAATTTCCTACAAGACCTCAAAATTGTACCAATCGATCCAACCAAGAATATCATGGGTATTGAAGTGCCAGAACTCCTGGTTCACAGGCTGACTGGGAAGAAGACAACTACCAAGAATGGTCAACCAATCATTCCAATTCTGCTACCAAAGTACATTGGTCTTGATCCTCTATCTCAAGGTGATCTCACAATGGTGATCACTCAGGACTGTGATTCCTGCCACTCCCCGGCCAGTCTTCCCCCAGTCAATGAAAAATGACCATGAGACTCAACATCACACTGCCAGAGCACCTCACCGCAAGTCTATACAACAATCAACCCCGGCATCTACAACCTGCAAAAACCAGCCCATCTGATACTCCTGGCATCGGGGGCAAGACAAGGCAGCCAAGCAGCAGCCCCCGAGCCGAGCCCAAACCCATTACACCCGAGCCCAACACCCATCCAGCAACCCACAACCGTCAAACGCACAGATGGACAAGCAAAGAACATCAAGCCAGGAGCAACACAGACCCCAAGTCTAAGCTGATCAACCCCTCCCGCAATCCCACCAACGCCAGCAAAAATCCCCCAACTCGATACCAACCCCAAGCAAATCAGCTCAAACCGTCTATCTCTCCCCGCTTCACTCCACACCCCAGATTCAGCAAACGATCAACGCACTTCTTATGCCACAGCTTATATTAAGAAAAAGAACTTGATGAAGATTAAGGCAACCAGTGGTGCTATCTTCATCTCTTTGATTTGAGTCTTAAGTGAATACACAGGTTCTAATACTGTTCTTCTGTCCAACGGTATAATTCAGCCAGGCCTAAGACAGTAGCTAATCACAGTCATCATGGGAGCGTCAGGGATTCTGCAATTGCCCCGTGAGCGCTTCAGGAAAACATCTTTCTTTGTTTGGGTAATAATCCTATTCCATAAAGTCTTTTCAATCCCGTTGGGGGTTGTACACAACAATACCCTACAAGTGAGTGATATTGACAAGTTTGTGTGCCGAGACAAACTCTCTTCAACTAGCCAATTGAAGTCAGTCGGGTTGAACTTGGAGGGCAATGGAGTAGCAACTGATGTACCAACGGCAACCAAAAGATGGGGTTTTCGAGCTGGTGTTCCACCAAAGGTGGTAAATTGCGAAGCTGGAGAATGGGCTGAGAACTGTTATAACCTGGCTATAAAGAAAGTTGATGGTAGTGAGTGCCTACCAGAAGCCCCTGAGGGAGTGAGGGATTTTCCCCGTTGCCGCTATGTACACAAAGTCTCAGGAACTGGACCATGCCCAGGAGGACTCGCCTTTCACAAAGAAGGAGCCTTCTTCCTGTATGACCGACTCGCATCAACAATCATTTATCGGGGTACAACCTTTGCCGAAGGAGTTATTGCATTTCTGATCTTGCCTAAGGCGCGAAAGGATTTTTTCCAGTCTCCTCCATTGCATGAGCCTGCCAACATGACCACGGATCCCTCCAGTTACTATCACACGACAACAATAAACTACGTGGTTGATAATTTTGGAACCAACACCACAGAGTTTCTGTTCCAAGTCGATCATTTGACGTATGTGCAGCTCGAGGCAAGATTCACACCACAATTCCTTGTCCTCCTAAATGAAACCATCTACTCTGATAACCGCAGAAGTAACACAACAGGAAAACTAATCTGGAAAATAAATCCCACTGTTGATACCAGCATGGGTGAGTGGGCTTTCTGGGAAAATAAAAAAACTTCACAAAAACCCTTTCAAGTGAAGAGTTGTCTTTCGTACCTGTACCAGAAACCCAGAACCAGGTCCTTGACACGACAGCGACGGTCTCTCCTCCCATCTCCGCCCACAACCACGCAGCCGAAGACCACAAAGAATTGGTTTCAGAGGATTCCACTCCAGTGGTTCAGATGCAAAACATCAAGGGAAAGGACACAATGCCAACCACAGTGACGGGTGTACCAACAACCACACCCTCTCCATTTCCAATCAATGCTCGCAACACTGATCATACCAAATCATTTATCGGCCTGGAGGGGCCCCAAGAAGACCACAGCACCACACAGCCTGCCAAGACCACCAGCCAACCAACCAACAGCACAGAATCGACGACACTAAACCCAACATCAGAGCCCTCCAGTAGAGGCACGGGACCATCCAGCCCCACGGTCCCCAACACCACAGAAAGCCACGCCGAACTTGGCAAGACAACCCCAACCACACTCCCAGAACAGCACACTGCCGCCAGTGCCATTCCAAGAGCCGTGCACCCCGACGAACTCAGTGGACCTGGCTTCCTGACGAACACAATACGGGGGGTTACAAATCTCCTGACAGGATCCAGAAGAAAGCGAAGGGATGTCACTCCCAATACACAACCCAAATGCAACCCAAACCTGCACTATTGGACAGCCTTGGATGAGGGTGCTGCCATAGGTTTAGCCTGGATACCATACTTCGGGCCAGCAGCTGAGGGAATTTACACTGAAGGCATAATGGAGAATCAAAATGGATTGATCTGTGGATTGAGGCAGCTGGCCAACGAAACGACACAAGCTCTTCAATTGTTCTTAAGGGCAACTACTGAGTTGCGTACATTCTCTATACTAAATCGGAAAGCAATAGACTTCTTGCTCCAAAGATGGGGAGGAACATGTCACATTCTAGGGCCTGATTGTTGCATTGAACCCCAAGATTGGACCAAAAATATCACTGATAAAATTGATCAAATAATCCATGACTTTGTCGATAATAATCTTCCAAATCAGAATGATGGCAGCAACTGGTGGACTGGATGGAAACAATGGGTTCCTGCTGGAATAGGAATCACAGGAGTAATCATTGCTATTATTGCTTTGCTGTGCATTTGCAAATTCATGCTTTGAACTAATATAGCATCATACTTTCTAATATTCCCCCAATATGAATTTTTGTTTTCGATTTTATTTAATGATATATCCTCTGTATACCTCACTAATGTACTCGAGCATAATTTCCCTGATAGACTTGATTGTATTTGATGATTAAGGACCTCACAAAATTCCTGGGGATTGAAAAGAACTGGATAACTCAATAAATTTTATGCTAGGACCACAAATACACTTGATGAAGATTAAGAAAAAGATAATCTTATGATTATCATTGATCTTCATCTATACCTTAAATACTCTATTCAAGGAGAGTATGACAAAACCAAGTAGTATTGGATAAACTTGTCCTGCATTCAAATCTGAAGACATACGGCTTATCTATTCACTATTGTATTAGAAAATCTAGGGAATATCATTTGAAACTAATTAGTGACTAAAACACACAACTCAAGTCGGCCAGAATGGAAGTTGTTCATGAAAGAGGTCGCTCCAGGATCTCCCGACAAAACACAAGGGATGGACCTAGTCATTTAGTACGGGCGAGATCATCCTCTCGAGCTAGTTATCGAAGTGAATACCATACACCAAGGAGTGCCTCGCAGATCCGTGTCCCCACTGTCTTTCATCGGAAAAAGACAGATTTATTGACAGTTCCACCAGCACCTAAAGATGTATGCCCGACTTTAAAGAAAGGGTTTCTATGTGACAGCAATTTCTGTAAAAAGGATCACCAACTTGAAAGCTTAACAGATAGAGAGTTACTCTTGCTGATTGCACGCAAGACATGTGGATCCACGGAACAACAACTAAGCATAGTTGCTCCAAAAGATTCACGTCTGGCTAATCCTATTGCTGAGGATTTCCAACAAAAAGATGGGCCTAAGGTAACACTGTCGATGCTTATAGAGACAGCAGAGTATTGGTCCAAACAGGACATTAAGAACATCGATGATTCAAGATTAAGAGCTTTATTGACCCTTTGTGCTGTTATGACGCGCAAATTTTCAAAATCTCAACTTAGCTTGCTATGTGAAAGCCACTTACGGCGAGAAGGACTTGGTCAAGACCAATCAGAGTCAGTTCTGGAGGTATATCAACGCTTACACAGCGATAAAGGTGGGAATTTCGAGGCAGCACTATGGCAGCAGTGGGATCGGCAATCATTGATAATGTTCATAACAGCATTTTTAAATATTGCATTACAATTACCATGTGAGAGTTCATCTGTTGTTATTTCAGGTTTGAGAATGCTGATACCCCAGTCGGAAGCCACTGAGGTTGTAACCCCCTCCGAAACCTGCACATGGTCAGAAGGAGGAAGTTCCCATTGAAGCCCCAAATCACAAGGCGAGCTAAAAAATCCCTTTTGAACATGCATAACATCACATACAATTTCAAAGGCATTGGAATAAATGGTGATTTCAGGAAGATTAGTGTTTGCCCTCAAAATCAGATCCGAGCAATAATCATCTACTCTACAGCCAGTTAATTTCTAATATAAAGGTTAAAAAAATGCTGCAGGCCAGCTATTGTTCCACAGGTCCCAATTCTTCTTGTTAAATTGTAGGAGCTAGCACAAGTGATGCAATTAAATGATACTAGTATATACAATGCCACCAACTTAATTCTAAGATTTTGTATATCTCGGAAATTCAAAATTAAATGCTACGTTATTGATTCAATTAAGAAAAAGACAATGGACCATCAAAATTAGTTCAATACCTGAACTAATGCACTTATAGAAACAGGAGAACCAGCCAGACAGCAGACAAATAACAATGAACCACAATATGTTACTGCTATAATGAAGTTCGTTAATTCAAAAACAAATGATGAAGATTAATGCAGATGTCTAAAGGATAAACACTCCATGCATCAGTGTTATAATTGGGCTCTGTAGAAAATCTTCATCTCCTCCAACCTACCTCAAAGAAGGATTTTACCGCGATTGGGAGTTATAACGACAATAGGGACAACCACCTTTGACACTAGCCAAGCTTGTCGTGGGCACACAGCATTTTATCTTGCAACGTCGACATTCCCATCAATCTGAGGAGTAACAGCTATCAAAACAACGCATATGTAGACATTGTCGGTAATAGTACTGCCTAAGACAACTATTTATAATAACAGTTGGAATTCATTTTTTCACCCAAGCTATTCTCAAGTTAACAGTTGAAACAGGACTCGACCCAGGACAACTCCGGATACGTAACATAAGAAAAGAACAACCCTTGACCCAGAGTGAACAAGCTCATACTATCAAGGCTAATCCTCGGGCCTGCCTGGAGTCCACAATGGCCAAGGCTACTGGGAGGTACAACCTTATCTCCCCAAAGAAAGATCTTGAAAAAGGGCTGGTTCTGAATGACCTTTGCACTCTCTCAGTGGCCCAGACGGTCCAGGGATGGAAGGTTACCTGGGCTGGGATTGAATTTGATGTTACACAGAAAGGGATGGCCTTATTGCACAGGCTCAAGACCAGTGATTTTGCTCCAGCCTGGTCAATGACCAGGAACTTATTTCCACATCTCTTTCAAAACCCGAACTCTACAATTGAGTCGCCACTTTGGGCACTGCGGGTCATACTAGCAGCAGGTATTCAAGATCAGCTAATTGATCAATCGTTGATCGAACCCTTGGCAGGAGCGCTAGGCTTAATTGCTGATTGGCTTCTTACTACTGGAACAAACCACTTTCAAATGCGCACACAACAGGCTAAGGAGCAACTAAGTCTAAAAATGTTGTCCCTGGTGCGATCAAACATCCTAAAGTTCATCAACCAACTAGATGCACTACATGTTGTGAATTACAATGGACTTCTCAGTAGCATTGAAATTGGCACCAAAAGCCATACAATTATAATTACCCGGACAAATATGGGTTTTTTGGTAGAGTTGCAAGAGCCTGACAAATCAGCCATGAACACCAGAAAACCAGGACCAGTCAAATTCTCCCTCCTCCATGAATCAACCTTGAAGACACTTGCTAAAAAACCTGCGACCCAGATGCAAGCACTAATCTTAGAATTCAATAGTTCTCTCGCTATTTAACTCAACTCATCAAAATGCTAACTTGTGATCCTTAAGCTGCACCTTAGACTTTTGATAAGAATACTAACTATTGATGATTGTCTTTGACATGAGGATAAGAACACTGCCCATTAGATAGATGGGGTTCACCATTAATACACAATTACCCAATCATGTTAACAGCAGTTAGATCCCTCAAGTATATCAAGTTCATTCTACCCTTTGCATTGTCACTCTAATTAAATCACCTGATACAATTATGTTAATTAGCTAGATTCTCTCATTTTTAGACTTGTTTGCTAGAATAATTGATCATCCACTTGATTACACATCCAACTAGGGTCTAGTTCATAGATTGCTAATAATCTTTAGTTCAATACTAATGACAAAGAGATTAGATTAGCTATAGCTTGAGGAAGATTAAGAAAAAGTGTCTGTGGGGTCTTTCCGTGTAGAAGGGCACACAGCCATAATTCTTCCTCTTTATACAACATGGCTACACAACATACGCAATATCCAGACGCAAGGTTATCATCACCTATAGTTTTAGATCAGTGTGATCTTGTCACTCGTGCTTGTGGATTGTATTCCGCATACTCCTTAAATCCCCAACTAAAGAACTGTAGACTACCGAAACATATATACCGACTAAAATATGACACCACTGTTACAGAGTTTTTGAGTGATGTGCCGGTAGCAACATTGCCAGCGGATTTTTTAGTACCTACATTTCTTAGGACTCTATCAGGAAATGGTTCTTGTCCAATTGATCCAAAATGCAGTCAATTTTTAGAAGAAATTGTCAATTATACTCTACAAGATATTCGCTTCCTAAACTATTACCTCAATCGAGCCGGAGTGCATAACGATCATGTGGATAGGGATTTTGGACAAAAAATTCGCAATCTAATTTGCGACAATGAGGTTTTACATCAAATGTTTCACTGGTATGATCTTGCAATTCTAGCACGTAGAGGGCGACTAAATAGAGGGAATAATCGCTCAACATGGTTTGCAAGTGATAATTTGGTAGATATCCTAGGTTATGGAGATTATATTTTTTGGAAAATACCATTATCACTACTACCAGTGGATACACAAGGCCTCCCACATGCAGCCAAGGACTGGTATCATGAATCGGTTTTCAAGGAGGCTATTCAAGGCCATACACACATCGTGTCCATCTCTACAGCAGATGTCTTAATCATGTGTAAGGACATAATCACCTGTCGATTTAATACTTTACTGATTGCTGCTGTGGCAAATCTAGAGGATTCAGTTCATTCAGATTACCCTTTACCAGAAACAGTGTCTGACCTATACAAAGCAGGAGATTATTTAATCTCATTGCTAGGATCAGAAGGTTACAAAGTCATAAAATTCCTTGAGCCGTTATGCTTAGCAAAGATCCAACTCTGCTCAAATTACACTGAGAGGAAAGGAAGATTCCTCACTCAAATGCATTTAGCTGTAAATCATACACTTGAGGAACTTACAGGGTCCCGAGAATTAAGGCCACAACAGATTCGGAAGGTAAGGGAATTCCATCAAATGCTGATAAACCTTAAGGCAACTCCTCAACAACTCTGTGAGTTGTTTTCAGTGCAAAAGCATTGGGGGCACCCTGTCTTGCATAGCGAAAAGGCTATCCAAAAAGTAAAGAAGCATGCAACAGTGATAAAAGCATTGCGCCCAATAATAATCTTTGAAACATATTGTGTGTTTAAATACAGCATTGCAAAACATTATTTTGATAGTCAGGGTACGTGGTACAGTGTGACTTCTGACAGATGCTTAACACCAGGCCTTTCCTCTTACATCAAAAGAAACCAATTTCCTCCACTACCTATGATCAAAGAACTTTTGTGGGAATTTTATCACTTAGATCATCCTCCGTTATTCTCCACCAAAGTGATTAGTGATTTGAGTATCTTTATTAAAGATCGTGCTACTGCAGTCGAGAAAACATGCTGGGACGCAGTTTTTGAACCCAATGTTCTTGGTTATAACCCACCGAATAAATTTGCTACAAAAAGGGTACCTGAGCAATTCCTTGAACAGGAGAATTTCTCAATAGAGAGTGTCCTACATTATGCTCAACGTCTGGAATATCTTCTCCCGGAGTACCGGAACTTCTCTTTTTCACTCAAGGAGAAGGAGTTAAACATTGGACGAGCTTTTGGGAAATTGCCATATCCAACACGCAATGTTCAAACTCTGTGCGAAGCTTTGTTAGCAGATGGTTTGGCGAAAGCATTCCCAAGCAATATGATGGTTGTGACAGAGCGCGAGCAAAAAGAAAGCCTTTTGCATCAAGCGTCTTGGCATCACACAAGTGATGATTTTGGTGAGAATGCTACTGTTAGAGGCAGTAGTTTTGTAACAGACTTGGAAAAATACAATTTAGCATTCCGATATGAGTTTACAGCTCCTTTTATTGAATACTGTAATCGTTGTTACGGTGTAAGAAATTTGTTTAATTGGATGCACTACACTATACCACAGTGTTATATACATGTGAGTGATTATTATAACCCCCCACATGGAGTCTCTCTCGAAAACCGAGAAAATCCACCAGAAGGTCCAAGCTCTTACCGTGGTCATCTAGGCGGGATTGAGGGACTTCAACAAAAACTCTGGACAAGCATCTCATGTGCACAGATTTCATTAGTTGAAATCAAAACCGGTTTTAAACTGCGATCTGCGGTAATGGGTGACAATCAATGTATAACTGTACTCTCTGTATTTCCCCTCGAAACTGAGTCTAGTGAGCAAGAATTAAGTTCTGAAGATAATGCCGCTAGAGTAGCTGCTAGCTTAGCAAAAGTCACAAGTGCCTGCGGCATCTTTTTAAAACCTGATGAAACTTTTGTTCACTCAGGTTTCATTTATTTTGGCAAAAAACAATATTTGAATGGAGTACAATTACCTCAATCACTGAAAACTGCTACTAGAATTGCACCCTTGTCAGATGCTATCTTTGATGATCTTCAAGGGACACTAGCTAGCATAGGCACGGCTTTTGAAAGATCTATCTCCGAAACTAGGCACGTAGTCCCTTGTAGAGTAGCAGCTGCATTCCATACCTTTTTTTCCGTAAGAATCTTACAATATCATCATCTTGGCTTCAACAAGGGAACAGACCTGGGTCAATTGTCATTAAGCAAGCCATTAGATTTTGGAACTATAACTTTGGCCTTGGCAGTACCACAAGTCTTGGGTGGCTTATCATTCCTAAATCCAGAAAAATGTTTTTATAGAAATCTGGGTGATCCTGTTACTTCAGGGCTGTTTCAGCTCAAGACATATCTTCAAATGATCCACATGGATGATTTGTTTTTACCTTTGATCGCAAAGAACCCAGGGAACTGTAGCGCAATTGACTTTGTGTTAAACCCTAGTGGGTTAAACGTACCGGGGTCACAGGATTTGACATCCTTCCTACGTCAGATAGTGCGCCGAACAATTACTCTAAGTGCTAAAAATAAATTAATAAACACTTTGTTCCATTCTTCTGCTGATTTAGAAGATGAAATGGTTTGCAAATGGTTGCTTTCTTCTACACCAGTCATGAGTAGGTTTGCCGCCGATATATTTTCTCGCACTCCCAGTGGGAAACGTTTACAGATCTTAGGTTACCTTGAAGGGACTAGAACATTGTTAGCCTCTAAAATTATAAATCATAATACTGAGACACCTATCCTAGATCGATTGAGGAAAATTACGCTGCAAAGGTGGAGCCTGTGGTTTAGTTATCTCGACCACTGTGATCAAGTTCTGGCTGATGCCCTAACTCAGATAACCTGCACTGTGGACTTAGCACAGATTCTTCGCGAGTACACCTGGGCACACATACTAGAGGGAAGGCAGCTCATTGGAGCAACACTTCCTTGTATACTAGAACAACTAAATGTCATCTGGCTCAAACCATATGAGCATTGCCCTAAATGTGCAAAGTCAGCAAACCCTAAAGGGGAACCTTTTGTTTCTATTGCAATTAAAAAACATGTAGTAAGTGCTTGGCCTGATCAATCACGACTTAGTTGGACAATTGGAGATGGCATCCCTTATATCGGATCTCGAACAGAGGATAAGATTGGGCAGCCAGCCATCAAACCAAAATGCCCTTCAGCAGCCTTACGTGAAGCAATTGAGTTGACATCAAGATTGACTTGGGTTACTCAAGGTGGAGCAAACAGCGACTTACTAGTTAAACCCTTCATAGAAGCACGAGTAAATTTAAGCGTACAGGAAATTCTCCAAATGACACCTTCTCATTACTCCGGCAACATTGTGCATCGATATAATGATCAATATAGTCCACACTCATTTATGGCAAATAGGATGAGTAATTCTGCTACTAGGTTAGTTGTTTCGACAAACACTCTTGGAGAATTTTCAGGAGGAGGTCAGTCAGCAAGAGATAGTAATATTATCTTCCAGAATGTCATTAATTTTGCTGTTGCACTTTTTGATCTACGATTTAGGAACGTGGCTACTTCTTCTATACAACATCATCGGGCTCATCTTCATTTGTCAAAGTGTTGCACGCGAGAGGTTCCAGCCCAATATTTAGTTTATACATCAACATTGCCATTGGACCTTACACGGTATCGGGATAATGAGTTGATTTACGATGACAATCCATTAAGAGGTGGTTTAAATTGCAATCTTTCTTTTGATAATCCGCTTTTCAAGGGCCAGAGACTTAACATAATTGAAGAAGACTTGATTAGACTACCTTACTTATCAGGATGGGAGCTAGCTAAAACTGTTATCCAATCTATAATTTCTGACAGCAACAATTCATCAACGGATCCAATCAGTAGTGGGGAAACACGATCATTCACCACTCACTTCTTGACATATCCTAAGATTGGACTACTATATAGTTTTGGTGCACTCATCAGTTATTATCTAGGCAACACCATTATTAGAACCAAAAAATTGACTCTTAACAACTTCATATATTACCTAGCTACTCAAATACATAATTTACCTCATCGCTCGTTGAGAATCCTTAAACCTACTTTGAAACACGCTAGTGTTATCTCGAGATTAATAAGTATTGACTCTCACTTCTCAATTTATATTGGAGGAACTGCTGGTGATCGAGGACTTTCCGATGCGGCAAGATTGTTTCTTAGAACTGCCATTACTGTCTTCCTTCAATTCGTTAGAAAGTGGATAGTTGAACGCAAGACAGCTATTCCACTGTGGGTCATCTACCCTCTAGAAGGTCAAAGTCCTAGTCCGATCAACAGTTTTCTACACCACGTCATCGCATTGTTGCAACATGAGTCCTCCCACGATCATGTTTGTGCTGCAGAAGCCCACAGTCGAGTGGAGACATTTGATAATTTAGTTTATATGTGTAAAAGCACAGCAAGTAACTTCTTTCATGCTTCATTAGCATACTGGAGAAGTCGATCTAAAAATCAAGACAAAAGAGAGATGACAAAGATATTATCTTTGACGCAAACGGAAAAGAAAAATTCATTCGGCTATACAGCACATCCAGAAAGCACTGCTGTTCTTGGTTCCCTCCAGACCAGCCTTGCTCCACCTCCATCTGCTGACGAGGCTACATATGATAGGAAAAACAAAGTTTTGAAAGCTTCCAGACCTGGCAAGTATTCCCAGAATACAACCAAAGCCCCACCCAACCAAACCAGTTGTCGCGATGTATCTCCCAATATCACAGGCACAGATGGGTGCCCTTCTGCCAATGAGGGTTCTAACAGCAATAACAATAATTTAGTCTCGCACAGAATTGTACTGCCGTTTTTTACATTGTCTCATAATTATAACGAAAGACCCTCTATCAGAAAGTCTGAGGGGACAACAGAGATTGTAAGGCTTACTCGGCAGCTGAGGGCAATACCAGACACCACAATATATTGCCGCTTCACGGGAATAGTTTCTTCAATGCACTATAAGCTCGATGAAGTCCTTTGGGAATTTGATAATTTTAAGTCTGCTATAACACTTGCCGAAGGTGAAGGTTCGGGTGCATTACTCTTATTACAAAAATATAAAGTAGAAACCTTGTTTTTTAATACACTAGCCACAGAACACAGCATTGAAGCAGAAATTATTTCTGGAATAACTACACCAAGAATGCTTCTCCCTATTATGTCTAGGTTCCATGGTGGACAAATAAAAGTCACTTTAAACAATTCTGCAAGCCAGATTACCGATATTACTAATCCAAGTTGGTTGGCAGACCAAAAATCTAGGATCCCTAAGCAAGTAGAGATTATAACCATGGATGCTGAAACAACAGAAAACATTAATCGGTCAAAATTGTACGAAGCAGTCCAACAGCTGATTGTCTCACATATTGATCCGAATGCACTCAAAGTTGTGGTTCTTAAAGTTTTCTTAAGTGACATTGATGGAATCCTATGGCTGAATGATAACCTTACCCCTTTGTTTGGGCTGGGTTACTTGATCAAGCCGATCACCTCTAGCCCAAAATCTAGTGAGTGGTACCTATGTCTCTCAAACCTTCTTTCAACTTCAAGACGATTACCTCATCAGAGTCATACTACTTGCATGCATGTTATTCAAACAGCACTCCAGCTACAAATTCAGAGGAGCTCATATTGGCTTAGCCACCTTGTCCAGTATGCCAATCATAATTTGCATTTAGATTATATTAATCTCGGTTTCCCTTCATTGGAGAGGGTTTTATACCATAGATACAATTTAGTCGATTCTCAGAAAGGCCCTTTGACTTCCATTGTCCAACATCTAGCGCACCTGCAGACCGAGATTAGGGAGTTGGTTAATGACTATAATCAACAAAGACAAAGTCGAACCCAAACATATCATTTCATTAAAACAATAAAAGGTCGTATTACAAAATTGGTAAATGATTACCTTAAGTTCTTTCTAATAATACAAGCCTTAAAGCACAATTGCACATGGCAAGAGGAACTAAGAGCTCTTCCAGATCTAATTAGTGTCTGCACTCGATTCTATCATACTCGAAACTGTTCATGTGAAAACCGGTTCCTAGTACAGACTTTATACTTATCACGCATGCAGGATTCGGAAATCAAACTAATAGATAGATTGACCGGCCTTCTTAGTCTATGTCCAAATGGTTTTTTTCGGTAAGGACTCTTGACGTACAAACTCCACATAGTTATACAATGGTACCAGGACACTATATGTAAATTGACCCTAAGAAAGAGTAATTCGACACACAGAGTTCTCAAGTGAAACCCCTCATCTCAGATTATCTGTGGTTGCAATTCTAATATCCGATTGTTACCCCGTGAGTATAACTCCAGATTAATATAAGAAAATACCTTTTGTCCTGCAAATTTATCTTAAATTCAAGTACATACGCTCCAAATCGTATAAAATATTAAGAAAAAGTTAATCTGCTTGCTTTAATTATAACTTTAATATTCGACAAATAGTTAACGGTCTCATCACTCAAAAATTTCATTAACAAAAGAAGTACTCTGAGTATATTCACATATCATATGTGATTAACATATAAGCAACGCATGATGCGCCTTCCTCTTACTTATTGTGTTGTCACGCAGTCGTTGTACTACCTCGAAAATTCCAAACAATAAATCGTGTCTATCCCGCATTTAGTGTCTTTAATTTAAGATCTCAAATCCAAAAAACTGGGTTTATGTTGATGTAAATCAATAATACCGAAATTGCTTGATATTAAAATAAAGCTTAAAGGATTTTTCCTTAAACGGTGATGTTAGGTATATAGGAAAGCTCGATCACGATGTCCCTTACTCAGAAAAAGAAAAACGGAAGCCCTATTGGCCATTTAATCGTACACAAAAATATCTTTACCAAATTGTTTTCTCTTTTTTGTGTGTCCA >Reston_ebolavirus_isolate_RESTV/M.fascicularis-tc/PHL-USA/1996/Ferlite_Philippines/Alice_TX_complete_genome CGGACACACAAAAAGAAAAAAGGTTTTTTAAGATTTTTTGTGTGCGAGTAACTATGAGGAAGATTAACAGTTTTCCTCAGTTTAAGGTATACACTGAAATTGAGATTGAGATTCTCCTCTTTGCTATTCTGTAACTTTCCCTGGTTGTGACAATTGAATCAGTTTTATCTATTACCAATTACCATCAACATGGTATGTCTAGTGATCTTGGGACTCTTCTTCATCTGGTTTTTCCTAGAGCTCTGAATCTATTTTGTGAGAAGTTCATCCAAACGACCCAGTGTCTGAAAATACAAGAGGTTCCCCTTTCCGTCAAGTTTAAGGGGTTGTTTTGATTGTGTGTAGATTTTATAATCCTAGAGTGCCAAGGAGTTGCGTGTCATCATTAATTGGGAAGATCAAGGAAACAATTTGTTCCAATAATATCGTACATCTTGACTAAGTCGAACAAGGGGAAGTCGATATGGATCGTGGGACCAGAAGAATCTGGGTGTCGCAAAATCAAGGTGATACTGATTTAGATTATCATAAAATTTTGACAGCTGGCCTTACTGTTCAACAGGGAATTGTCAGGCAGAAAATAATTTCTGTATATCTTGTTGATAACTTGGAGGCTATGTGTCAATTGGTAATACAAGCCTTTGAGGCCGGAATTGATTTCCAAGAAAATGCCGACAGCTTCCTTCTGATGCTTTGCCTACATCATGCTTACCAAGGTGACTATAAATTGTTCTTGGAGAGCAATGCTGTACAGTATTTGGAAGGTCATGGATTCAAATTTGAGCTCCGGAAGAAGGACGGTGTCAATCGGCTCGAGGAATTGCTTCCTGCTGCAACGAGTGGAAAAAACATCAGGCGTACGTTGGCCGCACTGCCTGAAGAGGAGACTACAGAAGCAAATGCAGGGCAATTTCTCTCATTTGCGAGTTTGTTTCTTCCCAAACTGGTTGTGGGAGAGAAGGCTTGCTTGGAAAAAGTCCAGCGACAAATTCAGGTTCATGCAGAACAGGGTTTAATTCAATATCCCACTGCATGGCAATCAGTTGGACACATGATGGTAATCTTCAGATTGATGAGGACTAATTTCTTGATTAAATATTTACTGATCCACCAGGGTATGCATATGGTAGCTGGCCACGATGCCAATGATGCTGTCATTGCTAATTCAGTTGCTCAGGCTCGCTTTTCAGGACTCCTAATTGTCAAAACCGTTCTTGATCATATTCTGCAGAAAACCGACCAAGGAGTAAGACTTCACCCTTTGGCCCGAACAGCCAAAGTGCGTAATGAGGTTAATGCATTTAAGGCCGCCCTAAGCTCACTTGCTAAGCATGGGGAATATGCCCCTTTTGCTCGCCTTCTCAATCTCTCGGGAGTTAACAACCTAGAACATGGTCTCTACCCACAGTTATCAGCAATTGCTCTTGGAGTTGCCACAGCACATGGTAGCACCCTTGCAGGAGTTAATGTTGGTGAGCAGTATCAGCAGCTTAGAGAGGCTGCCACTGAAGCTGAGAAGCAACTCCAACAATATGCTGAGTCCAGAGAACTCGACAGCCTAGGCCTAGACGATCAGGAAAGAAGAATACTAATGAACTTCCATCAGAAGAAAAATGAAATTAGTTTCCAGCAGACCAATGCAATGGTAACCCTTAGGAAAGAGCGACTGGCCAAATTAACAGAAGCTATAACGCTGGCCTCAAGACCTAACCTCGGGTCTAGACAAGACGACGACAATGAAATACCGTTCCCTGGGCCTATAAGCAACAACCCAGACCAAGATCATCTGGAGGATGATCCTAGAGACTCCAGAGACACTATCATTCCTAATAGTGCAATTGACCCCGAGGATGGTGATTTTGAAAATTACAATGGCTATCATGATGATGAAGTTGGGACGGCAGGTGACTTGGTCTTGTTCGATCTTGACGATCATGAGGATGACAATAAAGCTTTTGAGCTACAGGACAGCTCACCACAATCCCAAAGGGAAATAGAGAGAGAAAGATTAATTCATCCACCCCCAGGCAACAACAAGGACGACAATCGGGCCTCAGACAACAATCAACAATCAGCAGATTCTGAGGAACAAGAAGGTCAATACAACAGGCACCGAGGCCCAGAACGTACGACCGCCAATCGAAGACTCTCACCAGTGCACGAAGAGGACACCCCTATAGATCAAGGCGATGATGATCCCTCAAGCCCACCTCCGCTGGAATCTGATGATGACGATGCATCAAGTAGCCAACAAGATCCCGATTATACAGCTGTTGCCCCTCCTGCTCCTGTATACCGCAGTGCAGAAGCCCACGAGCCTCCCCACAAATCCTCGAACGAGCCAGCTGAAACATCACAATTGAATGAAGACCCTGATATCGGTCAATCAAAGTCTATGCAAAAATTAGAAGAGACATATCACCATCTGCTGAGAACTCAAGGTCCATTTGAAGCTATCAATTATTATCACATGATGAAGGATGAGCCGGTAATATTTAGCACTGATGATGGGAAGGAATACACCTACCCGGATTCACTTGAGGAAGCCTATCCTCCATGGCTCACCGAGAAAGAACGACTGGACAATGAAAATCGATACATTTACATAAATAATCAACAGTTCTTCTGGCCTGTCATGAGTCCCAGAGACAAATTTCTTGCAATCTTGCAGCACCATCAGTAACCACAGCACAAAGCGCGGTCCACTTCGTAAAGCTAAATACACTTAAAGCTTGACCGATTCATCTACAAAAACTAATCCATTATAACTTATTAGTGCTACTTTTCTATAAGTGATTCTCAATCTAAGGCCATTAAGAGTTTAAGCAATATACATATACACTTACACCGGTCTATCCAAGATGTGGCTCAATGTTCTTAATTTGAACATAGTCATAAGGGGATAAATAATACTTTATATTTCTGATTGTGGATTGACCCATTCTGCTTAAAATGCTTCGCCCATTAAAAATGTGATCTAATAGATAGCCCTGACTAGACCAATTAAGAAAAACATTTGATGAAGATTAAAACCTTCATCGCCAGTAAATGATTATATTGTCTGTAGGCAGGTGTTTACTCCACCTTAAAGTCGGAAATATCCTACCTTAGGACCATTGTTAAGAGGTGCATAGGCATTACCATCCTTGAGAACATGTATAATAATAAATTGAAGATATGTTCAGGCCCAGAAACAACTGGATGGATTTCTGAGCAACTAATGACAGGTAAGATTCCAGTAACTGATATATTCATTGATATTGATAACAAGCCAGATCAAATGGAAGTCCGGCTCAAACCATCATCAAGGAGCTCAACCAGAACTTGTACAAGTAGCAGTCAGACGGAGGTCAACTATGTACCTCTCCTTAAAAAGGTTGAGGATACATTAACTATGCTAGTGAGTGCAACCAGTCGTCAGAATGCTGCAATCGAGGCCCTTGAAAACCGCCTCAGCACACTTGAGAGTAGCTTAAAGCCAATCCAAGACATGGGTAAAGTGATTTCATCATTGAATCGCAGTTGTGCCGAAATGGTGGCAAAATATGATCTTCTAGTTATGACAACTGGACGGGCTACTTCAACCGCAGCTGCAGTAGATGCGTACTGGAAAGAGCACAAACAGCCACCACCAGGGCCAGCGTTGTATGAAGAGAATGCGCTTAAAGGAAAAATCGATGATCCAAACAGCTATGTACCAGATGCTGTGCAGGAGGCTTACAAGAACCTTGACAGTACATCGACCCTGACCGAGGAAAATTTTGGGAAACCTTATATATCTGCTAAAGATCTGAAGGAGATCATGTATGATCATCTACCTGGTTTTGGGACTGCCTTTCACCAACTTGTTCAAGTGATTTGTAAAATAGGAAAGGATAACAACCTCTTGGACACAATCCATGCTGAGTTCCAGGCAAGTCTAGCAGATGGTGACTCTCCCCAATGTGCACTCATACAGATAACCAAAAGAGTCCCAATCTTTCAGGATGTGCCGCCCCCGACAATCCACATTAGATCCCGTGGTGATATCCCACGAGCATGCCAAAAGAGTCTCCGACCAGCACCACCATCACCCAAAATTGATCGTGGTTGGGTTTGTTTGTTTAAGATGCAAGATGGTAAAACGCTTGGACTTAAGATCTAAGGATCAAGATTTATTTAACAAGGCAAGCCACAACCTTAGATAGAACCTCAGCCAGACTATTGAACTATTGACGCTGTTGATGATAATATATAATTAATGGTCATATTTGAATATGACAACATCTTGCTTCTTGTTTTGCCTTGTATCTCTTTGAGTTGGAAGATCATTCCAAACTTACAAACATGCACAAGATGTTATGGTTTAGCAAAGAATTGATAGGAGTACTGGTATATAATGTAAATATAACAAGTGATGAAGATTAAGAAAAACCAGTCGGTATTTTCCAGACTTGGCATTTCTTATCTTCATCTTCTAAAGTGAGATATTTTATCATCAAAAAATGAGACGCGGAGTGTTACCAACGGCTCCTCCAGCATATAATGATATTGCATACTCTATGAGCATACTCCCAACCCGACCAAGTGTCATAGTCAATGAGACCAAATCAGATGTACTGGCAGTGCCAGGAGCAGATGTTCCATCAAACTCCATGAGACCAGTGGCTGATGATAACATTGATCACTCAAGCCATACTCCAAGCGGAGTAGCTTCTGCCTTTATATTGGAAGCTAAAGTGAATGTAATTTCGGGAACAAAAGTCCTGATGAAGCAAATACCTATTTGGCTTCCACTGGGTGTAGCTGATCAGAAGATATACAGCTTTGATTCAACAACAGCCGCAATTATGTTGGCTTCCTACACAGTGACACACTTCGGGAAGATATCTAACCCGCTGGTACGTGTCAACAGGCTAGGCCCAGGAATACCCGATCATCCGCTACGACTCCTAAGGTTGGGCAATCAGGCATTCCTTCAAGAGTTTGTTCTTCCACCAGTCCAGCTTCCCCAGTATTTCACATTTGATCTAACAGCTCTAAAGCTCATCACTCAACCATTGCCAGCTGCAACCTGGACAGACGAAACTCCAGCAGGAGCAGTCAATGCTCTTCGTCCTGGGCTCTCACTCCATCCCAAGCTTCGTCCAATTCTTCTACCGGGGAAGATAGGAAAGAAAGGTCATGCTTCAGACTTAACATCACCTGACAAAATTCAAACAATCATGAATGCAATACCGGACCTCAAAATTGTCCCGATTGATCCAATCAAGAACATAGTTGGAATTGAGGTTCCAGAATTACTAGTTCAAAGGCTGACCGGCAAAAAACCACAACCCAAAAATGGCCAACCAATTATTCCAGTTCTTCTTCCGAAATATGTTGGACTTGATCCTATATCGCCAGGGGACTTAACTATGGTTATCACCCAGGATTGTGATTCATGCCACTCTCCAGCCAGCCATCCGTATCACATGGACAAGCAGGATAGTTACCAATAATTTAAATTCCATTCGAGCTATTATTCTGCTAGTAATTCCGACGGGATCAATAGACTAAAAATCTGATTGTATAGAATTATAAAAGAATCAAGCAGAGGCAACAGACTCACAGCTTACGCCTAGATGACTAATATTAAGGAGTTTTTTAATCTAATTTTCCAGTCTTAAGTAATAATCATTTCTTTTGTAATTAATTATGCATTTGTTAACTTATCGGTGCGAGATTTCCTTGAGAACCCGGCGGGGCTTCTACTATCTGTAGTAACCAGAAGAGAAGTTCAACCCAGTCAAAACTAAACCAAGCAATATTCTGAATGCTCTATAGTCTATTCTAATCAGAGGTATAACAATGGCTAAGATTTCAATGACTCGTTAACAATCGCTAGTAATTTTAATCTCCAGATTAAGAAAAAGATATACGATGAAGATTAAGGCGACAACGAGTCGAAACTTCATCTCTTTTAAAGATCTAACATTATCTGTTCCAAAGTCATACAAGGACACATTCAAATCAGGGATTGTAAGCTGCTATTTCTTACCTCCCCAAATCACCTATACAACATGGGGTCAGGATATCAACTTCTCCAATTGCCTCGGGAACGTTTTCGTAAAACTTCGTTCTTAGTATGGGTAATCATCCTCTTCCAGCGAGCAATCTCCATGCCGCTTGGTATAGTGACAAATAGCACTCTCAAAGCAACAGAAATTGATCAATTGGTTTGTCGGGACAAACTGTCATCAACCAGTCAGCTCAAGTCTGTGGGGCTGAATCTGGAAGGAAATGGAATTGCAACCGATGTCCCATCAGCAACAAAACGCTGGGGATTCCGTTCAGGTGTGCCTCCCAAGGTGGTCAGCTATGAAGCCGGAGAATGGGCAGAAAATTGCTACAATCTGGAGATCAAAAAGTCAGACGGAAGTGAGTGCCTCCCTCTCCCTCCCGACGGTGTACGGGGATTCCCTAGATGTCGCTATGTCCACAAAGTTCAAGGAACAGGTCCTTGTCCCGGTGACTTAGCTTTCCATAAAAATGGGGCTTTTTTCTTGTATGATAGATTGGCCTCAACTGTCATCTACCGTGGGACAACTTTTGCTGAAGGTGTCATAGCTTTTTTAATTCTGTCAGAGCCCAAGAAGCATTTTTGGAAGGCTACACCAGCTCATGAACCGGTGAACACAACAGATGATTCCACAAGCTACTACATGACCCTGACACTCAGCTACGAGATGTCAAATTTTGGAGGCGAGGAAAGTAACACCCTTTTTAAGGTAGACAACCACACATATGTGCAACTAGATCGTCCACACACTCCGCAGTTCCTTGTTCAGCTCAATGAAACACTTCGAAGAAATAATCGCCTTAGCAACAGTACAGGGAGATTGACTTGGACATTGGATCCCAAAATTGAACCAGATGTTGGTGAGTGGGCCTTCTGGGAAACTAAAAAAACTTTTCCCAACAACTTCATGGAGAAAACTTGCATTTCCAAATTCTATCAACCCACACCAACAACTCCTCAGATCAGAGCCCGGCGGGAACTGTCCAAGGAAAAATTAGCTACCACCCACCCACCAACAACTCCGAGCTGGTTCCAACGGATTCCCCTCCAGTGGTTTCAGTGCTCACTGCAGGACGGACAGAGGAAATGTCGACCCAAGGTCTAACTAACGGAGAGACAATCACAGGTTTCACCGCGAACCCAATGACAACCACCATTGCCCCAAGTCCAACCATGACAAGCGAGGTTGATAACAATGTACCAAGTGAACAACCGAACAACACAGCATCCATTGAAGACTCCCCCCCATCGGCAAGCAACGAGACAATTGACCACTCCGAAATGAATTCGATCCAAGGCTCGAACAACTCCGCCCAGAGCCCACAGACCAAGGCCACGCCAGCGCCCACAGCATCCCCGATGACCCTGGACCCGCAAGAGACGGCCAACAGCAGCAAACCAGGAACCAGCCCAGGAAGCGCAGCCGAACCAAGTCAGCCCGGACTCACTATAAATACAATAAGTAAGGTAGCTGATTCACTGAGTCCCACCAGGAAACAAAAGCGATCGGTTCGACAAAACACCGCTAATAAATGTAACCCAGATCTTCACTATTGGACAGCTGTTGATGAGGGGGCAGCAGTAGGATTGGCATGGATTCCATATTTTGGACCTGCAGCAGAAGGCATCTACATTGAGGGTGTAATGCATAATCAGAATGGGCTTATTTGCGGGCTACGTCAGCTAGCCAATGAAACTACCCAGGCTCTTCAATTATTTCTGCGGGCCACAACAGAACTGAGGACTTACTCACTTCTTAACAGAAAAGCTATTGATTTTCTTCTTCAACGATGGGGAGGTACCTGTCGAATCCTAGGACCATCTTGTTGCATTGAGCCACATGATTGGACAAAAAATATTACTGATGAAATTAACCAAATTAAACATGACTTTATTGACAATCCCCTACCAGACCACGGAGATGATCTTAATCTATGGACAGGTTGGAGACAATGGATCCCGGCTGGAATTGGGATTATTGGAGTTATAATTGCTATAATAGCCCTACTTTGTATATGTAAGATTTTGTGTTGATTTATTCTGAGATCTGAGAGAAAAAAATCTCAGGGTTACTCTAAGGAGAAATATTATTTTTAAAATTTACTTAAATGCTGACCACTTATCTTAAATGAGCAATTAATAATATGTTTTTCTGCTTCTTTGCTTGATTTACAATATGATATTTCTCTTAATAATGATTAATATATTAAGAAAAACTTATGACGAAGATTAAAGGGGAGGATCGTTAACGGGAAAATCTCCCATCTCGTTCGTCGAAGCCACGTTGGTGGTGCTTGCAGCTGAGAACAACTCCAGAGATTGTAGGTAGAAAGGACCAGCATTTATAGGTAGGGGTCAGAAAGCAACAATAGCCATAAAAGGAGAGCCTGACATTGCTATTTAATATCCTAGAACCTGATTTCTAGGTTCTAGTTGTACAATCCGGATGATGGAGCATTCAAGAGAACGGGGTAGATCTAGCAACATGCGACATAATAGCCGGGAACCATACGAAAATCCATCAAGGTCTCGCTCATTATCTCGGGACCCTAATCAGGTTGATCGTAGGCAGCCTCGAAGTGCATCCCAAATTCGTGTTCCGAATCTGTTCCATCGGAAAAAGACTGATGCACTCATAGTTCCTCCGGCTCCCAAAGATATATGCCCAACACTCAAAAAAGGATTCCTCTGCGATAGTAAATTTTGCAAAAAAGATCACCAATTGGATAGCTTAAATGATCATGAATTACTACTGCTAATTGCAAGAAGAACATGTGGAATTATCGAGAGCAATTCGCAGATTACATCCCCAAAAGATATGCGGTTAGCGAATCCAACAGCTGAAGACTTCTCACAAGGTAATAGTCCTAAATTAACACTTGCAGTCCTTCTTCAAATTGCTGAACATTGGGCAACCAGAGACCTAAGGCAAATTGAGGACTCTAAACTTAGAGCTCTTTTAACCCTTTGTGCCGTATTAACAAGGAAATTTTCTAAATCCCAACTGGGTCTTCTATGTGAGACCCACCTACGGCATGAGGGCCTCGGACAGGACCAAGCTGATTCTGTATTAGAGGTCTACCAAAGACTCCACAGTGATAAAGGAGGGAATTTTGAGGCTGCCCTGTGGCAACAATGGGACCGACAGTCGTTAATAATGTTCATCTCTGCTTTTCTCAACATTGCTCTCCAGACACCTTGTGAAAGTTCTAGTGTCGTAGTCTCAGGTCTTGCCACATTGTACCCAGCACAAGACAATTCTACACCATCCGAGGCAACTAATGATACCACCTGGTCAAGTACAGTTGAATAGAAAACCACTGGAGCTATTTTTCCACGATTGCTCTCAGTCAATAAATTAATATAGATATAATACGACTTCGGTGTGCAATTGTCAAGGGTTCCATTTGGTAATAATGATTCTTAAAACAATCTACTATCGTAATTATCGATGGATCTACCCTATTTGACGGTACATGACTTGAATGTAATAAGGTAAGTTGGTATCTGAGGTATTTTGTCTAGAGTATACTCAAAATCGTATGTCTAGCAAATTATCAATAGCAAAGTTAAATTCTCCTAACCTCATATTTTGATCAAGTAATCATGATTTTATGGTAATTCTTTGCAGATTATCGGTTTAATCTTTATTAAGAAAAAATCATGATTGTAGACAATTTACTGGTAGTCCCTGGGTATCCAAGTTTATGAACAGAGCTAGAGAGAATTTGCTACTTCCGAGGTATAACTTTATTATTTGCTACTTCGAATGCCTAAAACCAGTAATGCAGGATGAAGATTAATTGCGGAGGAATCAGGAATTCAACTTTAGTTCCTTAAGGCCTCGTCTGAATCTTCATCAGTTAGTAAGTTCTTTTATAGAAGTCATTAGCTTCTAAGGTGATTATATTTTAGTATTAAATTTTGTTAATTGCTTGCTATAAAGTTGAAGTGTCTAATGCTTAAATGAACATTTCTTTGAAGCTGACATACGAATACATCATATCATATGAAAACATCGCAATTAGAGCGTCCTTGAAGTCTGGCATTGACAGTCACCAGGCTGTTCTCAGTAGTCTGTCCTTGGAAGCTCTTGGGGAGACAAGAAGAGGTCCCAGAGAGTCCCAACAGGTTGGCATAAGGTCATTAACACCAGCATAGTCAGCTCGATCAAGACTGTAAGCGAGTCGATTGCAACTAAAAAGATTATTTCTTGTTGTTTAAACAAATTCCTTTTGTGTGAGACACCCTCAAGGCACAAGATGGCTAAAGCCACAGGCCGATACAATCTCGTGCCCCCAAAGAAAGATATGGAAAAGGGAGTGATTTTTAGTGATCTTTGTAATTTCTTGATTACTCAAACCCTGCAAGGTTGGAAGGTTTATTGGGCAGGAATTGAGTTTGATGTAAGTCAAAAAGGCATGGCTCTTCTGACAAGACTCAAAACAAATGACTTTGCTCCTGCCTGGGCGATGACAAGAAATCTCTTCCCACATCTGTTCCAAAACCCAAATTCGGTTATTCAATCTCCCATCTGGGCTTTGAGGGTAATTTTGGCAGCCGGATTGCAGGATCAGTTGTTAGACCATTCATTGGTTGAGCCATTGACAGGGGCTCTCGGTCTAATTTCTGATTGGCTCCTAACTACAACGTCAACACATTTCAATCTTCGTACTAGAAGCGTAAAGGACCAGCTTAGTTTTCGTATGTTATCTTTGATCAGGTCAAACATCTTGCAGTTCATCAACAAGCTTGACGCCCTGCATGTTGTCAATTACAATGGTTTACTCAGTAGTATTGAGATCGGGACTTCTACACACACAATCATTATAACTCGTACAAATATGGGTTTTCTCGTGGAAGTTCAGGAGCCTGACAAATCAGCTATGAATTCTAAGCGCCCAGGACCAGTCAAGTTCTCATTACTTCATGAGTCTGCCTTCAAACCTTTCACTCGTGTTCCACAATCTGGGATGCAATCATTAATAATGGAGTTCAACAGTTTGTTGGCAATTTAACAAGGTGATCTTAAAATAAGTACATGAATGAGAATTAGTTGTGGGTCTTACCTAGCATTGTTGAGTTAGCTATCTAATCTATTTTCACTAATTGCATTGAGCACTGCTAGTAGGTTTGCACCACGTTAAAGATTCAGAGTGTATGAATTGTGCAGATTTAAACTTGGGTTTTGCCTTATGCTTCATAGGTGGTCTTTTTAAAATGGAGATTATCAGCATTTCTTCAATGGGAGGAGTTAGCAATCAGAAATTGGAGATAAATGGACATCGGGATAGAACAATGCCTAACTATTGGGCGGCTTTCATTTTTAAATGTGTATATAACCAATCTTTTCCTATCTTTGCTTATATTGGTGTAACTTTACTTTAATAACATGTCAATGCTATACTGTTAAGAGAAGGTCTGAGGAAGATTAAGAAAAAGGTCTCGTGTTCACTTGGTTGCCGTCAAGTATCCTGTGGTTTTTTTCTACCTAACTTCCTCATGCCATATGGCTACCCAGCATACCCAGTACCCGGATGCACGTTTATCTTCACCTATAGTCCTGGATCAATGTGATTTGGTAACTCGAGCATGTGGGTTATATTCATCTTATTCTCTAAATCCTCAGCTAAGGCAATGTAAATTACCAAAACATATATATCGACTTAAGTTCGACACAATAGTATCCAAATTCCTAAGTGATACACCTGTAGCAACACTGCCGATAGACTATTTAGTACCAATTCTCCTGCGTTCCCTAACGGGGCACGGTGATAGGCCGTTGACCCCGACTTGTAATCAATTCCTTGATGGAATTATTAATTACACTCTTCATGATGCAGCCTTTCTTGATTACTATCTCAAGGCAACAGGTGCACAGGACCATTTGACAAACATTACAACTAGAGAGAAGCTTAAAAACGAAATTCTAAACAATGATTATGTCCATCAATTGTTCTTCTGGCATGACCTGTCTATTTTGGCTCGACGTGGGCGTCTGAATCGCGGGAACAACCGTTCAACCTGGTTTGTTCATGATGAATTCATTGATATTTTAGGATATGGCGATTATATTTTTTGGAAAATACCTTTATCATTATTACCAGTTACTATAGACGGGGTCCCACACGCGGCAACTGACTGGTATCAACCGACTCTTTTTAAAGAATCCATCCTAGGGCACAGCCAAATCCTATCTGTGTCGACAGCTGAAATACTAATTATGTGTAAAGATATTATCACCTGTAGGTTTAATACATCACTGATTGCATCCATTGCAAAATTAGAGGATGTAGATGTGTCTGATTATCCTGACCCGAGTGATATTCTTAAGATATACAATGCTGGAGACTATGTAATATCTATTCTTGGCTCAGAAGGTTATAAGATAATAAAGTACCTTGAACCACTTTGTTTGGCCAAAATCCAACTTTGCTCTAAATTCACAGAAAGAAAAGGTCGTTTCCTCACACAGATGCATTTATCAGTAATAAATGATCTTCGGGAGTTGATTTCTAACCGCAGGTTAAAGGACTATCAGCAAGAGAAGATTAGGGATTTTCACAAAATATTATTACAATTGCAATTATCTCCTCAACAGTTTTGTGAATTATTCTCTGTTCAAAAACATTGGGGGCATCCAATTTTACATAGTGAGAAAGCTATACAAAAAGTAAAACGGCATGCAACCATCCTTAAGGCTCTCAGACCTAATGTCATTTTTGAGACATATTGTGTATTCAAGTACAATATTGCCAAGCACTATTTCGACAGCCAAGGAACTTGGTACAGTGTAATCTCAGACAGGAATTTAACTCCAGGACTCAACTCCTTCATAAAACGTAATCACTTTCCTTCACTACCCATGATTAAGGATCTTCTATGGGAATTCTATCATCTTAATCACCCTCCGTTATTCTCTACAAAGGTGATTAGTGACTTAAGTATTTTCATCAAGGATAGGGCCACAGCTGTTGAACAGACATGTTGGGATGCAGTCTTTGAACCCAATGTGCTAGGTTACAATCCTCCAAACAAATTCTCCACTAAAAGGGTGCCGGAACAATTTCTAGAACAGGAGGATTTTTCAATCGAAAGTGTCCTGAATTATGCACAGGAATTACATTATTTATTACCACAGAATAGGAATTTTTCCTTTTCTCTTAAAGAAAAAGAATTAAATATTGGACGAACATTTGGTAAGCTACCATATCTCACACGGAATGTCCAAACTTTATGTGAGGCTCTGTTAGCAGATGGACTGGCTAAGGCCTTCCCCAGTAACATGATGGTAGTAACTGAACGTGAACAAAAAGAGAGCCTTCTTCATCAGGCATCATGGCACCACACCAGTGATGATTTTGGAGAGAATGCTACCGTTCGAGGGAGTAGTTTTGTAACTGATTTAGAGAAGTACAATCTTGCATTTCGCTATGAGTTCACTGCACCATTTATTGAGTACTGCAACCATTGCTATGGTGTGCGTAATGTCTTTAATTGGATGCATTATTTAATCCCGCAGTGTTACATGCATGTAAGTGATTATTATAATCCGCCTCACAATGTTAATCTTAGCAATCGAGAATATCCTCCTGAAGGCCCGAGTTCGTACCGAGGGCACTTAGGAGGCATAGAGGGATTACAACAAAAACTGTGGACGAGTATATCCTGTGCACAAATCTCCTTAGTGGAAATTAAAACTGGTTTTAAGTTACGATCAGCGGTCATGGGAGACAATCAGTGTATAACCGTATTGTCTGTTTTTCCACTTGAAACAGACCCTGAAGAGCAGGAGCAAAGCGCCGAAGACAATGCTGCAAGAGTAGCAGCAAGTCTTGCAAAAGTAACCAGTGCATGTGGGATCTTTCTTAAACCAGAAGAGACATTCGTACACTCAGGTTTCATTTATTTCGGAAAAAAACAATATCTCAATGGTGTACAATTACCGCAATCACTCAAAACAGCAGCAAGAATGGCGCCACTCTCTGATGCTATATTCGATGATCTACAAGGAACACTTGCCAGTATTGGAACTGCCTTCGAACGTGCTATATCGGAAACGCGACATATCCTCCCATGTCGTATTGTAGCAGCTTTCCATACGTATTTCGCCGTTCGGATTTTACAATATCACCATCTTGGATTTAATAAAGGCATCGATTTAGGGCAGTTGTCACTTAGTAAACCATTAGACTATGGGACTATTACTCTAACATTGGCGGTTCCACAAGTCCTTGGGGGATTGTCTTTTCTAAATCCAGAAAAGTGTTTTTATCGAAACTTCGGAGATCCTGTGACTTCTGGACTTTTCCAGCTACGGGTGTACCTAGAAATGGTTAACATGAAAGACCTATTTTATCCATTAATATCGAAAAATCCAGGAAATTGTAGTGCCATTGATTTTGTCTTAAATCCATCCGGATTAAATGTTCCAGGATCACAAGACTTGACATCCTTTTTGCGACAGATCGTTAGGCGTAGTATTACACTAACTGCAAGAAATAAGTTAATTAACACTCTCTTCCATGCCTCTGCTGATTTGGAAGATGAGATGGTTTGTAAATGGCTCCTTTCATCAAACCCTGTCATGAGTCGCTTTGCAGCGGATATTTTTTCCAGGACACCTAGTGGTAAACGTCTCCAAATATTAGGTTATCTTGAAGGGACCAGGACTCTATTGGCCTCCAAAATCATAAACAACAACAGTGAGACACCTGTACTTGATAAGCTGAGGAAGATCACCCTACAAAGATGGAATCTGTGGTTCAGTTATTTGGACCATTGTGACCAATTACTAGCAGATGCTCTACAGAAAATTAGTTGCACAGTGGATTTGGCCCAGATTTTGCGTGAGTATACATGGTCACACATCTTAGAGGGTAGACCATTGATCGGAGCGACATTACCATGTATGGTGGAGCAATTCAAAGTTAAGTGGCTAAGACAATATGAACCTTGTCCAGAATGCCTCAACAAAAAAGGCTCAAATGCTTATGTCTCAGTTGCAGTCAAAGATCAAGTGGTCAGTGCTTGGCCTAATACTTCTCGAATAAGTTGGACAATAGGGAGTGGTGTCCCCTATATAGGGTCAAGAACCGAGGATAAAATCGGACAGCCTGCAATCAAGCCGCGATGCCCTTCATCTGCCCTCAAGGAGGCTATAGAATTAGCATCAAGGCTCACTTGGGTTACACAAGGAAGTTCTAATAGTGAACAATTAATCCGGCCTTTCTTAGAAGCGAGAGTCAACCTTAGTGTCAGTGAAGTCCTGCAAATGACACCATCACATTATTCAGGAAATATTGTCCATCGATATAACGACCAATATAGCCCGCACTCATTTATGGCGAATCGCATGAGCAATACTGCGACCCGTCTCATAGTGTCAACTAATACACTTGGAGAATTTTCAGGTGGAGGGCAGGCCGCCAGGGATAGCAATATAATTTTCCAGAATGTTATAAATTTAGCAGTTGCCCTTTATGATATTAGATTCCGGAATACGAACACCTCTGATATAAGGCATAATAGGGCTCATCTTCACCTGACAGAGTGCTGTACTAAAGAGGTCCCGGCCCAGTATTTGACATATACAAGTGCACTCAATCTGGATTTAAGCCGTTATCGTGATAATGAACTAATATATGACTCAAATCCACTGAGGGGAGGATTGAACTGCAATTTAACAATGGATAGTCCTTTAGTGAAGGGTCCTAGGCTTAACATGATTGAAGATGATCTTCTCCGCTTTCCACACCTTTCTGGATGGGAGTTAGCGAAAACGGTGGTACAATCCATCATCTCAGACAATAGCAACTCATCAACAGATCCAATCAGTAGCGGAGAAACACGCTCTTTCACAACTCATTTTCTCACTTACCCTCAGATTGGCCTTCTTTACAGTTTCGGGGCAGTATTATGCTTTTATCTAGGCAATACTATCCTATGGACTAAAAAACTTGATTATGAACAGTTTCTATATTATTTGCATAACCAGCTGCACAACTTACCTCATCGAGCACTCCGTGTTTTTAAACCAACATTTAAGCATGCCAGTGTGATGTCCCGATTAATGGAAATTGATTCCAACTTCTCAATTTATATTGGCGGGACATCTGGAGATCGAGGGCTGTCTGATGCTGCTCGACTGTTTCTTCGGACAGCAATCGCGAGTTTTTTACAATTTCTTAAAAGCTGGATCATCGATCGCCAAAAGACAATTCCTTTATGGATAGTATATCCGCTTGAAGGTCAACAGCCGGAATCCATCAATGAATTTCTACATAAAATTTTTGGTCTGCTCAAACAAGGCCCCAAAAATATTCCAAAGGAGGTCAGCATTCAAAATGATGGACATTTGGATTTGGCAGAAAATAATTATGTTTACAATAGTAAGAGCACTGCTAGTAATTTCTTCCATGCATCCTTAGCTTACTGGAGAAGTAGGAAATCTCGGAAAACTCAAGACCATAATGATTTCTCAAGAGGGGATGGAACACTTACAGAACCCGTGTGTAAGTTCTCAAGCAATCATCAGTCAGATGAAAAGTACTACAATGTGACATGTGGAAAGTCACCGAAGCCGCAAGAACGCAAAGACTTCTCGCAATACAGACTCAGCAATAACGGGCAAACAATGAGTAATCATCGTAAGAAAGGGAAGTTCCACAAGTGGAATCCCTGCAAAGTGTTAATGGAGAGTCAAAGGGGAACTGTTCTAAAAGAGGGTGACTACTTTCAAAACAATACTCCACCAACAGATGATGTATCAAGTCCTCACCGACTCATTCTACCATTTTTTAAATTGGGAAATCACAACCATGCACATGATCAAGATGCCCAAGAATTGATAAATCAAAATATTAAACAGTACCTACATCAGCTAAGGTCTATGTTGGACACCACTATATATTGTAGATTCACAGGGATTGTCTCATCCATGCATTACAAATTGGACGAAGTTCTTCTAGAATACAATGGTTTCGATTCAGCTATCACATTAGCTGAAGGTGAGGGGTCAGGGGCTCTATTACTTTTGCAGAAATATAGTACAAGGTTATTATTTTTGAACACATTGGCAACAGAACACAGTATAGAGTCAGAAGTTGTATCAGGTTTTTCTACTCCGAGAATGTTGTTACCAATAATGCAAAAGGTTCATGAAGGACAAGTCACTGTTATCTTAAATAATTCAGCAAGTCAGATAACTGACATAACTAGCTCAATGTGGTTAAGTAATCAAAAATATAATCTACCTTGTCAAGTTGAAATCATTACGATGGATGCTGAAACAACAGAGAACTTAAACAGGTCCCAACTCTACCGAGCAGTATATAACTTAATACTTGATCACATTGATCCGCAGTATCTCAAGGTGGTGGTACTCAAAGTATTTCTGAGTGATATAGAAGGAATATTATGGATTAATGATTACTTGGCTCCATTATTCGGGGCTGGTTACTTGATTAAACCGATTACATCAAGTGCCCGGTCAAGTGAATGGTACCTTTGCTTATCAAATTTGATATCTACTAACAGGAGATCGGCCCATCAGACTCACAAGGCATGTCTTGGTGTTATCAGAGATGCTTTGCAAGCACAAGTCCAGCGAGGCGTGTACTGGTTGAGTCACATCGCACAGTATGCTACAAAGAATCTCCATTGTGAATACATATGCCTTGGTTTCCCACCTCTAGAAAAGGTCCTATATCACAGGTATAATCTAGTTGATACTGGACTCGGTCCATTGTCGTCAGTTATTAGACATTTAACTAACCTCCAGGCAGAGATACGAGACTTAGTATTAGATTATACCCTGATGAGAGAGAGTCGCACTCAAACGTACCATTTTATTAAGACTGCAAAAGGCAGAATCACAAAGTTAGTCAATGACTTTCTGAAGTTTTCTTTAATTGTCCAGGCACTCAAAAATAATTCTTCTTGGTATACTGAGCTTAAAAAATTACCTGAGGTGATTAATGTGTGTAATCGATTTTATCATACTCACAGTTGCGAATGTCAGGAAAAATTCTTTGTCCAGACGCTTTATTTACAACGCCTACGCGATGCAGAAATCAAGCTAATTGAACGCCTTACCGGGTTAATGCGATTTTATCCAGAAGGGTTAATATATTCCAATCACACATAGGTACTAAATCATCATAGTATGAGGAATAAAATAATGATAATTCCTGACGACAGTTTTAGTTCCGATTCTAAGTATATCGGAAGAGAGTATGCCAATCTTAATTATTAAAGGTAACAAGCTATTAGTTATTACTTATTGATAAGAATAAACTTTATCATAGCGTAACACATCATAACTTTATAGCGATTTTGCATTTCTAATCCTAGTATTTATTAGAATGTACTATCAGAGAAATGACCCCAGTTCCTATCTTTAAATAATGATTGTGTGTATTAAATTATTAGTTTATTAGGTTTATGAGTTGGTTACACAGTGAGTATTAGTAATTGAGGATTATGTAGATAGGTAATCTAACACTGAATCACCCATCTGATGTCACCATATCCAAATATTGTGCTAGTCGCATTTAAACATGCTATCTTCAGTTAAGTAACATAGACTGAAAATGCTAAGAAGAGATTGGAGTAAAAGTATAAAATAAATTTAATTAAACTTCAAAGTGATTAAATGATAATGATCTTGGGAACTCGATATGACCTCAAGTCAAAAATAATGTCAATATAATTGTTTAGTAATATGAGTTATAATGTGAATTTTGATAACTAACTAGCTTTAGTAGTTAAGATCAAATGCAAACATTCTAAGAATGTTAAGCGCACACAAAAACATTATAAAAAACCAATTTTTTCCTTTTTGTGTGTCC >Reston_ebolavirus_isolate_RESTV/Sus-wt/PHL/2009/09A_Farm_A_complete_genome CGGACACACAAAAAGAAAAAAGATTTTTTAAGACTTTTTGTGTGCGAGTAACTATGAGGAAGATTAACAGTTTTCCTCAGTTTAAGATATACACTGAAATTGAGATTGAGATTCTCCTCTTTGCTATTCTGTAACTTTCCCTGGTTGTAACAATTGAATCAGTTTTATCTATTACCAATTACCATCAACAAGGTATATCTAGTGATCTTGGGACTCTTCTTCATCTGGTTTTTCCTAGAGCTCTGAATCCATTTTGCGAGAAGTTCATCCAAACGATTCAGTGTCTGAAAATATAAAAGGTTCCCCTTTCCGTCAAGTTTAAGGGGTTGTTTTGATTGTGTGTAGATCTTATAATCCTAGAGTGCCAAGGAGTTGCGTGTCATCATTGATTGGGAAGATCAGGAAAACAATCTATTCCAATAATATCGTACATCTTGACTAAGTTAAACAAGGGGAAGTCGATATGGATCGTGGGACCAGAAGAATCTGGGTGTCGCAAAATCAAGGTGATACTGATTTAGATTATCATAAAATTTTGACAGCTGGCCTCACTGTTCAACAAGGAATTGTCAGGCAGAAAATAATTTCTGTATATCTTGTTGATAACTTGGAGGCTATGTGTCAATTGGTAATACAAGCCTTTGAGGCCGGAATTGATTTCCAAGAAAATGCCGACAGCTTCCTTCTGATGCTTTGCCTACATCATGCTTACCAAGGTGATTATAAATTGTTCTTGGAGAGCAATGCCGTACAGTATTTGGAAGGTCATGGATTCAAATTTGAGCTCCGGAAGAGGGACGGTGTCAATCGGCTCGAGGAATTGCTTCCTGCTGCAACGAGTGGAAAAAACATCAGGCGTACGTTGGCCGCATTGCCTGAAGAGGAGACTACAGAAGCAAATGCAGGGCAATTTCTCTCATTTGCGAGTTTGTTTCTTCCCAAACTGGTTGTGGGAGAAAAGGCTTGCTTGGAAAAAGTCCAGCGACAAATTCAGGTTCATGCAGAACAGGGTTTAATTCAATATCCCACTGCATGGCAATCAGTTGGACACATGATGGTAATCTTTAGATTGATGAGGACTAATTTCTTGATTAAATATTTACTGATCCACCAGGGCATGCATATGGTAGCTGGCCACGATGCCAATGATGCTGTCATTGCTAATTCAGTTGCTCAGGCTCGCTTTTCAGGACTCCTAATTGTCAAAACCGTTCTTGACCATATTCTGCAAAAAACCGACCAAGGAGTAAGACTTCACCCTTTGGCCCGAACAGCCAAAGTGCGTAATGAGGTTAATGCATTTAAGGCCGCCCTAAGCTCACTTGCTAAGCACGGGGAATATGCCCCTTTTGCTCGCCTTCTCAATCTCTCGGGAGTTAACAACCTTGAACATGGTCTCTACCCACAGTTATCAGCAATTGCTCTTGGAGTTGCCACAGCACATGGTAGCACCCTTGCAGGAGTTAATGTTGGTGAGCAGTATCAGCAGCTCAGAGAGGCTGCCACTGAAGCTGAGAAGCAACTCCAACAATATGCTGAGTCCAGAGAACTCGACAGCCTAGGCCTAGACGATCAGGAAAGAAGAATACTAATGAACTTCCATCAGAAGAAAAATGAAATTAGTTTCCAGCAGACCAATGCAATGGTCACCCTTAGGAAAGAGCGACTGGCTAAATTAACAGAAGCTATAACGCTGGCTTCAAGACCTAACCTCGGGTCTAGACAAGACGACGACAATGAAATACCGTTTCCTGGGCCTATAAGCAACAACCCAGACCAAGATCATCTGGAGGATGATCCCATAGACTCCAGAGACACCATCATTCCTAATAGTGCAATTGACCCCGAGGATGGTGATTTTGAAAATTACAATGGCTATCATGATGATGAAGTTGGGACGGCAGGTGACTTGGTCCTGTTCGATCTTGACGATCATGAGGATGACAATAAAGCTTTTGAGCCACAGGACAGCTCACCACAATCCCAAAGGGGAATAGAGAGAGAAAGATTAATTCATCCACCCCTAGGCAACAACAAGGACGACAATCGGGCTTCAGACAACAATCAACAATCAGCAGATTCTGAGGAACAAGAAGATCGATACAACAGGCACCGAGGCCCAGAACGTACGACCGCCAATCGAAGACTCTCACCAGTGTACGAGGAGGACACCCTTATAGATCAAGGCGATGATGATCCCTCAGGCCCACCTCCGCTGGAATCTGATGATGACGATGCATCAAGTAGCCAACAAGATCCAGATTATACAGCTGTTGCCCCTCCTGCTCCTGTATACCGCAGTGCAGAAGCCCACGAGCCTCCCCACAAATCCTCGAACGAGCCAGCTGAAACATCACAATTGAATGAAGACCCTGATATCGGTCAATCAAAGTCTATGCAAAAATTAGAAGAGACATATCACCATCTGCTGAGAACTCAAGGTCCATTTGAAGCCATCAATTATTATCACATGATGAAGGATGAGCCGGTAATATTTAGCACTGATGATGGGAAGGAATACACCTACCCGGATTCACTTGAGGAAGCCTATCCTCCATGGCTCACCGAGAAAGAACGACTGGACAATGAGAATCGATACATTTACATAAATAATCAACAGTTCTTCTGGCCTGTCATGAGTCCCAGAGATAAGTTTCTTGCAATCTTGCAGCACCATCAGTAACCACAGCACAAAGCGCGGTCCACTTCGTAAAGCTAAATACACTTAAGACTTGACCAATTCATCTACAAAAACTAATCCATTATAACTGATTAGTGCTACTTTTCTATAAGTGATTCTTAATCTAAGGCCATTAAGAGTTTAAGCAATATACATATGTACTTACACTGGTTTATCCAAGATGTGGCTCAATGTTCTTAATTTGAACATAGTTATAAGGGGATAAATAATACTTTATATTTCTGATTGTGGATTGACCCATTCTGCTTAAAATGCTTTGCCCGTTAAAAATGTGATCTAATAGATAGCCCTGACTAGCAAAATTAAGAAAAACATTTGATGAAGATTAAAACCTTCATCGCCAGTAAATGATCATATTGTCTGTAGACAGGTGTTTACTCCACCTCAAAGTCGGAAATATCCTACCTTAGGACCATTGTCAAGAGGTGCATAGGCATTACCATCCTTGAGAATATGTACAATAATAAATTGAAGATATGTTCAGGCCCAGAAACGACTGGATGGATTTCTGAGCAACTAATGACAGGTAAGATTCCAGTAACTGATATATTCATTGATATTGATAACAAGCCAGATCAAATGGAAGTCCGACTCAAACCATCATCAAGGAGCTCAACAAGAACTTGTACAAGTAGCAGTCAGACGGAGGCCAACTATGTACCTCTTCTTAAAAAGGTTGAGGATACATTAACTATGCTAGTGAGTGCCACCAGTCGTCAGAATGCTGCAATCGAGGCCCTTGAAAACCGCCTCAGCACACTTGAGAGTAGCTTAAAGCCAATCCAAGACATGGGTAAAGTGATTTCATCATTGAATCGCAGTTGTGCCGAAATGGTGGCAAAATATGATCTTCTAGTTATGACAACTGGACGGGCTACTTCAACTGCAGCTGCAGTAGATGCGTACTGGAAAGAGCACAAACAGCCACCACCAGGGCCAGCATTGTATGAAGAGAATGCGCTAAAAGGAAAAATCGATGATCCAAACAGCTATGTACCAGATGCTGTGCAGGAGGCTTACAAGAACCTTGACAGTACATCGACCCTGACCGAGGAAAATTTTGGGAAACCTTATATATCTGCTAAAGATCTGAAGGAGATCATGTATGATCATCTACCTGGTTTTGGGACTGCCTTTCACCAACTTGTTCAAGTGATTTGTAAAATAGGAAAGGATAACAACCTTTTGGACACAATTCATGCTGAGTTCCAGGCAAGTCTAGCAGATGGTGACTCTCCCCAATGTGCACTCATACAGATAACCAAAAGAGTCCCAATCTTTCAGGATGTGCCGCCCCCGACAATCCACATTAGATCTCGTGGTGATATCCCACGAGCATGCCAAAAGAGTCTCCGACCAGCACCACCATCACCCAAAATTGATCGTGGTTGGGTTTGTTTGTTTAAGATGCAAGATGGTAAAACGCTTGGACTTAAGATCTAAGGATCAAGATTTATTTAACAAGGCAAGCCACAACCTTAGACGGAACCTCAGCCAGACCATTGAACTATTAACGCTGTTGATGATAATATATAATTAATGGTCATATTTGAATATGATAACATCTTGCTTCTTGTTCTGTCTTGTAGCTCTTTGAATTGGAAGATCATTCCAGACGTACAAACATGCACAAGATGTTATGGTTTAGCAAAGAATTGATAGGAGTACTGGTATATAATGTAAATATAACAAGTGATGAAGATTAAGAAAAACCAGTCAGGATTTTCCAGACTTGGCATTTCTTATCTTCATCTTCTAAAGTGAGATACTTTATCATCAAAAAATGAGGCGCGGAGTGTTACCAACGGCTCCCCCAGCATATAATGATATTACATACCCTATGAGCATACTCCCAACCCGACCAAGTGTCATAGTCAATGAGACCAAGTCAGATGTACTGGCAGTGCCAGGGGCAGATGTTCCATCAAACTCCATGAGACCAGTGGCTGATGATAACATTGATCACTCAAGCCATACTCCAAGCGGAGTAGCTTCTGCCTTTATATTAGAAGCTACAGTGAATGTAATTTCGGGAACAAAAGTCCTGATGAAGCAAATACCTATTTGGCTTCCACTGGGTGTAGCCGATCAGAAGATATACAGCTTTGATTCAACAACAGCCGCAATTATGTTGGCTTCCTACACAGTGACACACTTCGGGAAGATATCTAGCCCGCTGGTACGTGTCAACAGGCTAGGCCCAGGAATACCCGATCATCCGCTACGACTCCTAAGGTTGGGCAATCAGGCATTCCTTCAAGAGTTTGTTCTTCCACCAGTCCAGCTTCCCCAGTATTTCACATTTGATCTAACAGCTCTAAAGTTCATCACTCAACCATTGCCAGCTGCAACCTGGACAGACGAAACTCCAGCAGGAGCAGTCAATGTTCTTCGTCCTGGGCTTTCACTCCATCCCAAGCTTCGTCCAATTCTTCTGCCGGGGAAGACAGGAAAGAAAGGGCATGCTTCAGACTTAACATCCCCTGACAAGATTCAAACAATCATGAATGCAATACCGGACCTCAAAATTGTCCCGATTGATCCAACCAAGAACATAGTTGGAATTGAGGTTCCAGAATTGCTAGTTCAAAGGCTGACCGGCAAAAAACCACAACCCAAAAGTGGCCAACCAATTATTCCAGTTCTTCTTCCGAAATATGTTGGACTTGATCCTATATCGCCAGGGGACTTAACCATGGTTATCGCCCAGGATTGTGATTCATGTCACTCTCCAGCCAGCCATCCGTATCACATGGACAAGCAGAATAGTTACCAATAATTTAAATTCCATTCGAGCTATTATTCTGCTAGTAATTCCGACGGGATCAATAGACTAAAAATCTGATTGTGTAAAATTATAAAAGAATCAAGCAGAGGCAACAGACCCACAGCTTAAGCCTAGATAACTAATATTAAGGAGTCCTTTAATCGAATTTTCCAGTCTTAAGTAATAATCATTTCTTTTGTAATTAATTATGAATTTGTTAGCTTATCGGTGCGAGATTCCCTTGAGAACCCGGCGGAGCTTCTACTATCTGCAGTAACCAGAGGAGAAGTTCAACCTAGTCAAAACTAAACCAAGCAATATTCTGGATGCTCTATAGTCTATTCTAATCAGAGGTATAACAATGGCTAAGATTTCAATGACTCGTTAACAATCGCTAGTGATTTTAATCTTCAGATTAAGAAAAAGATATACGATGAAGATTAAGGCGACAACGAGCCGAAACTTCATCTCTTTTAAATATCTAACATTACCCGTTCCAAAGTCATACAAGGACACATTCAAATCAGGGATTGTAAGCTGCTATTTCTTACCTCCCCAAATTACCTATACAACATGGGGTCAGGGTATCAACTTCTCCAATTGCCTCGGGGACGTTTTCGTCAAACTTCGCTCTTAGTATGGGTAATCATCCTCTTCCAGCGAGCAATCTCCATGCCGCTTGGTATAGTGACAAATAGCACTCTCAAAGCAACAGAAATTGATCAATTGGTTTGTCGGGACAAACTGTCATCAACCAGTCAGCTCAAGTCCGTGGGGCTGAATCTGGAAGGAAATGGAATTGCTACCGATGTCCCATCAGCAACAAAACGCTGGGGATTTCGTTCAGGTGTGCCTCCCAAGGTGGTCAGCTATGAAGCTGGAGAATGGGCAGAAAATTGCTACAATCTGGAGATCAAAAAGTCAGACGGAAGTGAATGCCTCCCTCTCCCCCCCGACGGTGTACGAGGATTCCCTAGATGTCGCTATGTCCACAAAGTTCAAGGAACAGGTCCTTGTCCCGGTGACTTAGCTTTCCATAAAAATGGGGCTTTTTTCTTGTATGATAGATTGGCATCAACTGTCATCTACCGTGGGACAACTTTTGCTGAAGGTGTCGTAGCTTTTTTAATTCTGTCAGAGCCCAAGAAGCATTTTTGGAAGGCTACACCAGCTCATGAACCGGTGAACACAACAGATGATTCCACAAGCTACTACATGACTCTGACACTCAGCTACGAGATGTCAAATTTTGGGGGCGAGGAAAGTAACACCCTTTTTAAGGTAGACAACCACACATATGTGCAACTAGATCGTCCACACACTCCGCAGTTCCTTGTTCAGCTCAATGAAACACTTCGAAGAAATAATCGCCTTGGCAACAGTACAGGGAGATTGACTTGGACATTGGATCCTAAAATTGAACCAGATGTTGGTGAGTGGGCCTTCTGGGAAACTAAAAAAACTTTTCCCAACAACTTCATGGAGAAAAATTGCATTTCCAAATTCTATCAACCCACACCAACAACTCCTCAGATCAGAGCCCAGCGGGAACTGTCCAAGGAAAAATTGGCTTCCACCCACCCACCAACAACTCCGAACTGGTTCCAACGGATTCCTCTCCAGTGGTTTCAGTGCTCACTGCAGGACGGACAGAGGAAATGTCGACCCAAGGTCCAACCAACGGAGAGACAATCACAGGTTTCACCGCGAACCCAATGACAACCACCATTGCCCCAAGTCCAACCATGACAAGCGAGGTTGATAACAATGTACCAAGTGAACAACCGAACAGCACAGCATCCATTGAAAACTCCCCCCCATCGGCGAGCAACGGGACAATCAACCGCCCCGAGATGAATCCGACCCAAGGACCGAACAACTCCGCCCAGAGCCCACAGACCAAGACCACGCCAGCACCCACAGCATCCCCGACGACCCAGGACCCGCAAGAAACGACCAACAGCAGCAAACCAGGAACCAGCCCAGGAAGCACAGCCGAACCAAGTCAGCCCGGATTCACCACAAATACAGTAAGTAAGGTAGCTGATTCAGTGAGTACCACCAGGAAACAAAAGCGATCGATTCGCCAAAACACCGCTAACAAATGTAACCCAGATCTTCACTATTGGACAGCTGTTGATGAGGGCGCAGCAGTAGGATTGGCATGGATTCCATATTTTGGACCTGCAGCAGAAGGCATCTACATTGAGGGTGTAATGCATAATCAGAATGGGCTTATTTGCGGGCTACGTCAGCTAGCCAATGAAACTACTCAGGCTCTTCAATTGTTTCTGCGGGCCACAACAGAACTGAGGACTTACTCACTTCTTAATAGAAAAGCTATTGATTTTCTTCTTCAACGATGGGGAGGTACCTGTCGAATCCTAGGACCATCTTGTTGTATTGAGCCACATGATTGGACAAAAAATATTACTGATGAAATTAACCAAATTAAACATGACTTTATTGACAATCCCCTACCAGACCACGGAGATGATCTTAATCTATGGACAGGTTGGAGACAATGGATCCCGGCTGGAATTGGGATTATTGGAGTTATAATTGCTATAATAGCCCTACTTTGTATATGTAAGATTTTGTGTTGATTTATTCTGAGATCTGAGAGAGAAAAATCTCAGGGTTACTCCAAGGAGAAATATTATCTCTAAGGTTTACTTGAATGCTGACCACTTATCTTAAATGAGCAACTAATAATATGTTTTTCTGCTTCTTAGCTTGATTCACAATATAATATTTCTCTTAATAATGATTAATATATTAAGAAAAACTTATGATGAAGATTAAAGGGGAGGATCGCTAACGTGAAAATCTCCCATCTCGCTTGTCGAAGCCACGTTGGTGGTGCTTGCAGCTGAGAACAACTCCAGAGATTGTAGGTAGAAAGGACCAGCATTTATAGGTAGGGGTCAGAAAGCAACAATAACCATAAAAGGAGAGCCTGACATTGCTATTTAGTATCCTAGAACCTGATTTCTAGGTTCTAGTTGTACAATCCGGATGATGGAGCATTCAAGAGAACGGGGTAGATCTAGCAACATGCGACATAATAGCCGGGAACCATACGAAAATCCATCAAGGTCTCGCTCATTATCTCGGGACCCTAATCAGGTTGATCGTAGGCAGCCTCGAAGTGCATCCCAAATTCGTGTTCCGAATCTGTTCCATCGGAAAAAGACTGATACGCTCATAGTTCCTCCGGCTCCTAAGGATATATGCCCAACACTCAAAAAAGGATTCCTCTGCGATAGTAAATTTTGCAAAAAAGACCACCAATTGGATAGCTTAAATGATCATGAATTACTACTGCTAATTGCAAGAAGAACATGTGGAATTATCGAGAGCAATTCGCAGATCACATCCCCAAAAGATATGCGGTTAGCGAATCCAACAGCTGAAGACTTCTCACAAGGTAATAGTCCTAAATTAACACTTGCAGTCCTTCTTCAAATTGCTGAACATTGGGCAACCAGAGACCTAAGGCAAATTGAGGACTCTAAACTTAGAGCTCTTTTAACCCTTTGTGCCGTATTAACAAGGAAATTTTCTAAATCCCAACTGGGTCTTCTATGTGAGACCCACCTACGGCATGAGGGCCTCGGACAGGACCAAGCTGATTCTGTATTAGAGGTCTACCAAAGACTCCACAGTGATAAAGGAGGGAATTTTGAGGCTGCCTTGTGGCAACAATGGGACCGACAGTCATTAATAATGTTCATCTCTGCTTTTCTCAACATTGCTCTCCAGACACCTTGTGAAAGTTCTAGTGTCGTAGTCTCAGGTCTTGCCACATTGTACCCAGCACAAGACAATTCTACACCATCCGAGGCAACTAATGATACCACTTAGTCAAGTACAGTTGAATAGAAAACCATTAGAGCTATTTTTCCACGATTGCTCTCAGTCAATAAATTAATATAGATATAATACGACTTCGGTGTGCAATTGTCAAGGGTTCCATTTAGTAATAATGATCCTTAAAACAGTCTACTATCGCAATTATCGATGGATTTACCCTATTTGACGGTACATGACTTGAATGCAATAAGGTAAGTTGGTATTTGAGGTATTTTGTCTAGGGTATACTCAAAGTCGTATGTCTAGCAAATTATCAATAGCAAAGTTAAATTCTCATAACCTCATATTTTGATTAAGTAATCATGATTTTATGATAACCCTTTGCAGATTATCAGTTTAATCTTTATTAAGAAAAAATCATGATTGTAGACAATTTACTGGTAGTCCTTGGGTATCCAAGTTTATGAACAGAGCTAGAGAGAATTTGCTACTTCCGAGGTATAACTTTATTATTTGCTACTTCGAATGCCTAAGACCAGTAATGCAGGATGAAGATTAATTGCGGAGGAATCAGGAATTCAACCTTAGTTCCTTAAGGCCTCGTCTGAATCTTCATCAGTTAGTAAGTTCTTTTATAGAAGTCATTAGCTTCTAAGGTGATTATATTTTAGTATTAAATTTTGTTAATTGCTTGCTATAAAGTTGAAATGTCTAATGCTTAAATGAACATTTTTGAAGCTGACATACGACTACATCATATCATATGAAAACATCGTAATTAGAGCGTCCTTGAAGTCTGGCATTGACAGTTACCAGGCTGTTCTCAGTAGTCTGTCCTTGGAAGCTCTTGGGGAGACAAAAGAGGTCCCAGAGAGTCCCAACAGGTTGGCATAAGGTCATTAACACCAGCATAGTCGGCTCGATCAAGACTGTAAGCGAGTCGATTTCAACTAAAAAGATTATTTCTTGTTGTCTAAACAAATTCCTTTGTGTGAGACATCTTCAAGGCACAAGATGGCTAAAGCCACAGGCCGATACAATCTCGTGCCCCCAAAGAAAGATATGGAAAAGGGAGTGATTTTTAGTGATCTTTGTAATTTCTTGATTACTCAAACCCTGCAAGGTTGGAAGGTTTATTGGGCAGGAATTGAGTTTGATGTAAGTCAAAAAGGCATGGCTCTTCTGACAAGACTCAAAACAAATGACTTTGCTCCTGCCTGGGCGATGACAAGAAATCTTTTCCCACATCTGTTCCAAAACCCAAATTCGGTTATTCAATCTCCCATCTGGGCTTTGAGGGTAATTTTGGCAGCCGGATTGCAGGATCAGTTGTTAGACCATTCATTGGTTGAGCCCTTGACAGGGGCTCTCGGTCTAATTTCTGATTGGCTCCTAACTACAACGTCAACACATTTCAATCTTCGTACTAGAAGCGTAAAGGACCAGCTTAGTCTTCGTATGTTATCTTTGATTAGGTCAAACATCTTGCAGTTCATCAACAAGCTTGACGCCCTGCATGTTGTCAATTACAATGGTTTACTCAGTAGTATTGAGATCGGGACCTCTACACACACAATCATTATAACTCGTACAAACATGGGTTTTCTCGTGGAAGTTCAGGAGCCTGACAAATCAGCTATGAATTCTAAGCGCCCAGGACCAGTCAAGTTCTCATTACTTCATGAGTCTGCCTTCAAACCTTTCACTCGTGTTCAACAATCTGGGATGCAATCATTAATAATGGAGTTCAACAGTTTGTTGGCGATTTAACAAGGTGATCTTAAAATAAGTACATGAATGAGAATTAGTTGTGGGTCTTGCCTAGCATTGTTGAGTTAGCTATCTAATCTATTTTCGCTAATTACATTGAACACTGTTAATAGGTTTGTATCACGTTAAAGATTTAGAGTGTATGAATTGTGCAGATTTAAACCTGGGTTTTGCCTTATGCTTCATAGGTGGCCTTTTTGAAATGGGGATTATCAGCATTTCTTCAATAGGAGGAGTTAGCAATCAGGAATTGAAGAGAAATGGACATCGGGATAGAACGATGCTTAACTATTGGGCAGCTTCCATTTTTACATGTGTGTATAACCAATCTTTTCCTATCTTTGCTTATATTGGTGTAACTTTATTTTAATAACATGTCAATGCTATACTGTTAAGAGAAAGTCTGAGGAAGATTAAGAAAAAGGCCTCGTGTTCACTTGGTTGCTGTCAAGTATCCTGTGGTTTTTTTCTACCTAACTTCCTCATGCCATATGGCTACCCAGCATACCCAGTACCCGGATGCACGCTTATCTTCACCTATAGTCCTGGATCAATGTGATTTGGTAACTCGAGCATGTGGGTTATATTCATCTTATTCTCTAAATCCTCAACTAAGGCAATGTAAATTACCAAAACATATATATCGACTTAAGTTCGACACAATAGTATCCAAATTCCTAAGTGATACACCTGTAGCAACACTGCCGATAGACTATTTAGTACCAATTCTCCTGCGTTCCCTAACGGGGCACGGTGATAGGCCGTTGACCCCGACTTGCAATCAATTCCTTGATGAAATTATTAATTACACTCTTCATGATGCAGCCTTTCTTGATTACTATCTCAAGGCAACAGGCGCACAGGACCGTTTGACAAACATTACAACTAGAGAGAAGCTTAAAAACGAGATTTTAAACAATGATTATGTCCATCAATTGTTCTTCTGGCATGACCTTTCTATTTTGGCTCGACGTGGGCGTCTGAATCGCGGGAACAACCGTTCAACCTGGTTTGTTCATGATGAATTCATTGATATTTTAGGATATGGCGATTATATTTTTTGGAAAATACCTTTATCATTATTACCGGTTACTATAGACGGGGTCCCACACGCAGCAACTGACTGGTATCAACCGACTCTTTTTAAAGAATCCATCCTAGGGCACAGCCAAATCCTATCTGTGTCAACAGCTGAAATATTAATTATGTGTAAAGATATTATCACCTGTAGGTTTAATACATCACTGATTGCATCCATTGCAAAATTAGAAGATGTAGATGTGTCTGATTATCCTGACCCGAGTGATATTCTTAAGATATACAATGCTGGAGACTATGTAATATCTATTCTCGGCTCAGAGGGTTATAAGATAATAAAGTACCTTGAACCACTTTGTTTGGCCAAAATCCAACTTTGCTCTAAATTCACAGAAAGAAAAGGTCGTTTCCTCACACAGATGCATTTATCAGTAATAAATGATCTTCGGGAGTTGATTTCTAACCGCAGGTTAAAGGACTATCAGCGAGAGAAGATTAGGGATTTTCACAAAATATTATTACAATTGCAATTATCTCCTCAACAGTTTTGTGAATTATTCTCTGTTCAAAAACATTGGGGGCATCCAATTTTGCATAGTGAGAAAGCTATACAAAAAGTAAAACGGCATGCAACCATCCTTAAGGCTCTCAGACCTAATGTCATCTTTGAAACATACTGTGTATTCAAGTACAATATTGCCAAGCACTATTTCGACAGCCAAGGAACTTGGTACAGTGTGATCTCAGACAGGAATTTAACTCCAGGACTCAATTCCTTTATAAAACGTAATCACTTTCCTTCACTACCCATGATTAAGGATCTTCTATGGGAATTCTATCATCTTAATCACCCTCCGTTATTCTCTACAAAGGTGATTAGTGACTTAAGTATTTTCATCAAGGATAGGGCCACTGCTGTTGAACAGACATGTTGGGATGCAGTCTTTGAACCCAATGTGCTAGGTTACAATCCTCCAAACAAATTCTCCACTAAAAGGGTGCCGGAACAATTTCTAGAACAAGAGGATTTTTCAATCGAAAGTGTCCTGAATTATGCACAGGAATTACATTATTTATTACCACAGAATAGGAATTTTTCTTTTTCTCTTAAAGAAAAAGAATTAAATATTGGGCGAACATTTGGGAAGCTACCATATCTCACACGGAATGTCCAAACTTTATGTGAGGCCCTGTTAGCAGATGGACTGGCCAAGGCCTTCCCCAGTAACATGATGGTAGTAACTGAACGTGAACAAAAGGAGAGCCTTCTTCATCAGGCATCATGGCACCACACCAGTGATGATTTTGGAGAGAATGCTACCGTTCGAGGGAGTAGTTTTGTAACTGATTTAGAGAAGTACAATCTTGCATTTCGCTATGAGTTCACTGCACCATTTATTGAGTACTGCAACCATTGCTATGGTGTGCGTAATGTCTTTAATTGGATGCATTATTTAATCCCGCAGTGTTACATGCATGTAAGTGATTATTATAATCCGCCTCACAATGTTAATCTTAGCAATCGAGAATATCCTCCTGAAGGCCCGAGTTCGTACCGAGGGCACTTAGGAGGCATAGAGGGCTTACAACAAAAACTGTGGACGAGTATATCCTGTGCACAAATCTCCTTGGTGGAAATTAAAACTGGTTTTAAGTTACGATCAGCGGTCATGGGAGACAATCAGTGTATAACTGTATTATCTGTTTTTCCACTTGAAACAGATCCTGAAGAGCAGGAGCAAAGCGCCGAAGACAATGCTGCAAGAGTAGCAGCAAGTCTTGCAAAAGTAACCAGTGCATGTGGGATCTTTCTTAAACCAGAAGAGACATTTGTACACTCAGGTTTCATTTATTTCGGAAAAAAACAATATCTCAATGGTGTACAATTACCGCAATCACTCAAAACAGCAGCAAGAATGGCACCACTCTCTGATGCTATATTCGATGATCTACAAGGAACACTTGCCAGTATTGGAACTGCCTTCGAACGTGCTATATCGGAAACGCGACATATCCTCCCATGTCGTATTGTAGCAGCTTTCCATACGTATTTCGCCGTTCGGATTTTACAATATCACCATCTTGGATTTAATAAAGGCATCGATTTAGGACAGTTGTCACTTAGTAAACCATTAGACTATGGGACTATTACTCTAACATTGGCGGTTCCACAAGTCCTTGGGGGATTGTCTTTTCTAAATCCAGAAAAGTGTTTTTATCGGAACTTCGGAGATCCTGTGACTTCTGGACTTTTCCAGCTACGGGTGTACTTAGAAATGGTTAACATGAAAGACCTATTTTGTCCATTAATATCGAAAAATCCAGGAAATTGTAGTGCCATTGATTTTGTCTTAAATCCATCCGGATTAAATGTTCCAGGATCACAAGACTTGACATCCTTTTTGCGACAGATCGTTAGGCGTAGTATTACACTAACTGCAAGAAATAAGTTAATTAACACTCTCTTCCATGCCTCTGCTGATTTGGAAGATGAGATGGTTTGTAAATGGCTCCTTTCATCAAACCCTGTCATGAGTCGCTTTGCAGCGGATATTTTTTCCAGGACACCTAGTGGTAAACGTCTCCAAATATTAGGTTATCTTGAAGGGACCCGGACTCTATTGGCCTCCAAAATCATAAACAACAACAGTGAGACACCTGTACTCGATAAGCTGAGGAAGATCACCCTACAAAGATGGAATCTGTGGTTCAGTTATTTGGACCATTGTGACCAATTACTAGCAGATGCTCTACAAAAAATTAGTTGCACGGTGGATTTGGCCCAGATTTTGCGTGAGTATACATGGTCACACATCTTAGAGGGTAGACCATTGATCGGAGCGACATTACCATGTATGGTGGAGCAATTCAAAGTTAAGTGGCTAGGACAATATGAACCTTGTCCAGAATGTCTCAACAAAAAAGGCTCAAATGCTTATGTCTCAGTTGCAGTCAAAGATCAAGTGGTCAGTGCTTGGCCTAATACTTCTCGAATAAGTTGGACAATAGGGAGTGGTGTCCCCTATATAGGGTCAAGAACCGAGGATAAAATCGGACAGCCTGCTATCAAGCCGCGATGCCCTTCATCTGCCCTCAAGGAGGCTATAGAATTAGCATCAAGGCTCACTTGGGTTACACAAGGGAGTTCTAATAGTGAACAATTAATCCGACCTTTCTTAGAAGCGAGAGTCAACCTTAGTGTCAACGAAGTCCTGCAAATGACACCATCACATTATTCAGGAAATATTGTCCATCGATATAATGACCAATATAGCCCGCACTCATTTATGGCGAATCGCATGAGCAATACTGCAACCCGTCTCATAGTGTCAACTAATACACTTGGAGAATTTTCAGGTGGAGGGCAGGCTGCCAGGGACAGCAATATAATTTTCCAGAATGTTATAAATTTAGCAGTTGCCCTTTATGATATTAGATTCCGGAATACGAACACCTCTGATATAAAGCATAATAGGGCTCATCTTCACCTGACAGAGTGCTGTACTAAAGAGGTCCCGGCCCAGTATTTAACATATACAAGTGCACTTAATCTGGATTTAAGCCGTTACCGTGATAATGAACTAATATATGACTCAAATCCACTGAGGGGAGGATTGAACTGCAATTTAACAATGGATAGTCCTTTAGTGAAGGGTCCTAGGCTTAACATGATTGAAGATGATCTTCTCCGCTTTCCACACCTTTCTGGATGGGAGTTAGCGAAAACGGTGGTGCAATCCATCATCTCGGACAATAGCAACTCATCAACAGATCCAATCAGTAGTGGAGAAACACGCTCTTTCACAACTCATTTTCTCACTTATCCTCAGATTGGTCTCCTTTACAGTTTCGGGGCAGTATTATGCTTTTATCTAGGCAATACTATCCTATGGACTAAAAAACTTGATTATGAACAGTTTCTATATTATTTGCATAACCAGCTGCACAACTTACCTCACCGAGCACTCCGTGTTTTTAAACCAACATTTAAGCATGCCAGTGTGATGTCCCGACTAATGGAAATTGACTCCAACTTCTCAATTTATATTGGCGGGACATCTGGAGATCGAGGGTTGTCTGATGCTGCTCGATTGTTTCTTCGGACAGCAATCGCGGGTTTTTTACAATTTCTTAAGAGCTGGATCATCGATCGCCAAAAAACAATCCCTTTATGGATAGTATATCCGCTTGAAGGTCAACAGCCGGAACCCATCAATGAATTTCTACATAAAATTTTAGGTCTGCTCAAACAAGGCCCCAAAAGTATTCCAAAGGAGGTCAGCATTCAAAATGATGGACATTTGGATTTGGCAGAAAATAATTATGTTTACAGTAGTAAGAGCACTGCTAGTAATTTCTTCCATGCATCCTTAGCTTACTGGAGAAGTAGGAAATCTCGGAAAACTCAAGACCATAATGATTTCTCAAGAGGGAATGGAACACTTACAGAACCCGTGCGTAAGTTATCAAGCAATCAACAGTCAGATGAAAAGTACTACAGTGTAACATGTGGAAAGTCACCGAAGCCGCAAGAACGCAAAGACTTCTCGCAATACAGACTCAGCAATAACGGGCAAACAATGAGTAATCATCGTAAGAAAGGGAAGTTCCACAAGTGGAATCCCTGCAAAGTGTTAATGGAGAATCAAAGGGGAACTGTTCTAACAGAGGGTGACTACTTTCAAGACAATACTCCACCAACAGATGTTGTATCAAGTCCTCATCGACTCATTCTACCATTTTTCAAATTGGGAAATCACAACCATGCAAATGATCAAGATGCCCAAGAATTGATAAATCAAAATATTAAACAGTACCTACACCAGATAAGGTCTATGTTGGACACCACTATATATTGTAGATTCACAGGGATTGTCTCATCCATGCATTACAAATTGGACGAAGTTCTTCTAGAATACAATAGTTTCGATTCAGCTATCACATTAGCTGAAGGTGAGGGGTCAGGGGCTCTATTACTTTTGCAAAAATATAGTACAAGGTTGTTGTTTTTGAACACATTGGCAACAGAACACAGTATAGAGTCAGAGGTTGTATCAGGTTTTTCTACTCCGAGAATGTTGTTACCAATAATGCAAAAGGTTCATGAAGGACAAATCACTGTTATCTTAAATAATTCGGCAAGTCAGATAACTGACATAACTAGCTCAAAGTGGTTAAGTAATCAAAAATATAATCTACCTTGTCAAGTTGAAATCATTACGATGGATGCTGAAACAACAGAGAACTTAAACAGGTCCCAACTCTACCGAGCAGTATATAACTTAATACTTGATCACATTGATCCGCAGTATCTCAAGGTGGTGGTACTCAAAGTATTCCTGAGTGATATAGAAGGAATATTATGGATTAATGATTACTTGGCTCCATTATTCGGGGCTGGTTACTTGATTAAACCGATTACATCAAGTGCCCGGTCAAGTGAATGGTACCTTTGCTTATCAAATTTGATATCTACTAACAGGAGATCGGCCCATCAGACTCACAAGGCATGTCTTGGTGTTATCAGGGATGCTTTGCAAGCACAAGTCCAGCGAGGCGTGTACTGGTTGAGTCACATCGCACAGTATACTACAAGGAATCTCCATTGTGAATACATATGCCTTGGTTTCCCACCTCTAGAAAAGGTCCTATATCACAGGTATAATCTAGTTGATACTGGACTTGGTCCATTGTCGTCAGTTACTAGACATTTAACTAACCTCCAGGCAGAGATACGAGACTTAGTATTAGATTATACCCTGATGAGAGAGAGTCGCACTCAAACGTACCATTTTATTAAGACTGCAAAAGGCAGAATCACAAAGTTGGTCAATGACTTTCTGAAGTTTTCTTTAATTGTCCAGGCACTCAAAAATAATTCTTCCTGGTATACTGAGCTTAAAAAATTACCCGAGGTGATTAATGTGTGTAATCGATTTTATCATACTCACAGTTGCGAATGTCAGGAAAAATTCTTTGTCCAGACGCTTTATTTACAGCGCCTACGCGATGCAGAAATCAAGCTAATTGAACGCCTTACCGGGTTAATGCGATTTTATCCAGAAGGGTTAATATGTTCCAACCATACATAGGTACTAGATCATCATAGTATGAGGAATAAAATAATGATAATCCCTGACGACAGTTTTAGTTCCGATTCTAAGTATATCGGAAGAGAGTATGCCAATTTAAATTATTAAAGGTAACAAGCTATTAGTTATTACTTATTGATAAGAATAAACTTTATCATAGTGTAACACATCATAACTTTATGACGATTTTGCATTTCTAATCCTAGTATTTATTAGAATGTACTATCAGAGAAATGACCCCAGTTCCTATCTTTAAATAATAATTGTGTGTATTAAGTTGTTAGTTTATTAAGTTTATGAGTTGGTTACACAGTGAGTATTAGTAATTGAGGATTAGGTAGATAGGTAATCTAACACTGAATCACCCATCTGATGTAACCATATCCAAATATTGTGCTAGTCGCATTTAAACATGCTATCTTCAGTTAAGTAACATAGACTGAAAATGCTGAGAAGAGTTTGGAGTAAAAGTATAAAATAAATTTAATTAAACTTCAAAGTGCTTAAATGATAAAGATCTTGGGAACTCGATATAACCTCAAATCAAAAATAATGTCAATATAATTGTTTAGTAATATGAGTGATAATGTGAATTTTGATAACTAACTAGCTTTCGTAGTTAAGATCAAATGCAAACATTATAAGAATGTTAAGCGCACACAAAAACATTATAAAAAACCAATTTTTTCCTTTTTGTGTGTCC >Reston_ebolavirus_-_Reston_strain_Reston08-C_complete_genome CGGACACACAAAAAGAAAAAAGGTTTTTTAAGATTTTTTGTGTGCGAGTAACTATGAGGAAGATTAACAGTTCTCCTCAGTTTAAGATATACACTGAAATTGAGATTGAGATTCTCCTCTTTGCTATTCTGTCACTTTCCCTGGTTGTGACGATTGAGCCAGTTTTATCTATTACCAATTACCGTCAACATGGTATGTCTAGTGGTCTTGGGACTCTTCTTCATCTGGTGTTTCCTAGAGCTCTGAATCGATTTTGCGAGAAGTTCATCCGAATGACCCAGTGTCTGAAAATACAAAAGGTTCCCCTTTCCGTCAAGTTTAAGGGGTTGTTTTGATTGTGTGTAGATTTTATAATCCTAGAGTGCCAAGGAGTTGCGTGTCATCATTGATTGGGAAGATCAAGGAAACAATTTGTTCCAATAATATCATACATCTTGACTAAGTCGAACAAGGGGAATTCGATATGGATCGTGGGACCAGAAGAATCTGGGTGTCGCAGAATCAAGGTGATACTGATGTAGATTATCATAAAATTCTGACAGCTGGCCTTACTGTTCAACAGGGAATTGTCAGGCAGAAAATAATTTCTGTATATCTTGTTGATAACTTGGAGGCTATGTGCCAATTGGTAATACAAGCCTTTGAGGCCGGAATTGATTTCCAAGAAAATGCCGACAGCTTCCTTCTGATGCTTTGCCTACATCATGCTTACCAAGGTGACTATAAATTGTTCTTGGAGAGCAATGCTGTACAGTATTTGGAAGGTCATGGATTCAAATTTGAGCTCCGGAAGAAGGACGGTGTCAATCGACTCGAGGAATTGCTTCCTGCTGCAACGAGTGGAAAAAACATCAGGCGTACGTTGGCTGCACTGCCTGAAGAGGAGACTACAGAAGCAAATGCAGGGCAATTTCTCTCATTTGCGAGTTTGTTTCTTCCCAAACTGGTTGTGGGAGAGAAGGCTTGCTTGGAAAAAGTCCAGCGACAAATTCAGGTTCATGCAGAACAAGGTTTAATTCAATATCCTACTGCATGGCAATCAGTTGGACACATGATGGTAATCTTCAGATTGATGAGGACTAATTTCTTGATTAAATATTTACTGATCCACCAGGGTATGCATATGGTAGCTGGCCACGATGCCAATGATGCTGTCATTGCTAATTCAGTTGCTCAGGCTCGCTTTTCAGGACTCCTAATTGTCAAGACCGTTCTTGATCATATTCTGCAAAAAACCGACCAAGGAGTAAGACTTCACCCTTTGGCCCGAACAGCCAAAGTACGCAATGAGGTTAATGCATTTAAGGCCGCCCTAAGCTCACTTGCTAAGCATGGAGAATATGCCCCTTTTGCTCGCCTTCTCAATCTCTCGGGAGTTAACAACCTAGAACATGGTCTCTACCCACAGTTATCAGCAATTGCTCTTGGAGTTGCCACAGCACATGGTAGCACCCTTGCAGGAGTTAATGTTGGTGAGCAGTATCAGCAGCTTAGAGAGGCTGCAACTGAAGCTGAGAAGCAACTCCAACAATATGCTGAGTCCAGAGAACTCGACAGCCTAGGCCTGGACGATCAGGAAAGAAGGATACTAATGAACTTCCATCAGAAGAAAAATGAAATTAGTTTCCAGCAGACCAATGCAATGGTAACCCTTAGGAAAGAGCGACTGGCTAAATTAACAGAAGCTATAACGCTGGCCTCAAGACCTAACCTCGGGTCTAGACAAGATGACGACAATGAAATACCGTTCCTTGGGCCTATAAACAACAACCCAGACCGAGATCATCTGGAGGATGATCCTAGAAACTCCAGAGACACCATCATTCCTAGTGGTGCAATTGACCCTGAGGATGGTGATTTTGAGAATTACAATGGCTATCATGATGATGAAGTTGGGACGGCAGGTGACTTGGTCCTGTTCGATCTTGACGATCATGAGGATGACAATAAAGCTTTTGAGCCACAGGACAGCTCACCGCAATCCCGAAGGGAAATAGAAAGAGAAAGATTAATTCATCCACCCCCGAGCAACAACAAGGACGACAATCGGGTCTCAGCCAACAATCAACAATCAGCAAGTTTTGAGGAACAAGAAGATCAATACAACAGGCACCGAGGCCCAGAACGTACGACCGCCCATCGAAGACTCTCACCAGTGTACGAAGAGGACACCCTTATGGATCACGGCGATGATGATCCCTCAAGCTTACCTTCGCTGGAATCTGATGATGACGATGCATCAAGTAGCCAACAAGATCCCGATTATACAGCTGTTGCCCCTCCTGCTCCTGTATACCGCAGTGCAGAAGCCCACGAGCCTCCTCATAACTCCTCGAACGAGCCAGCTGAAACATCACAACTGAATGAAGACCCTGATATCGGTCAATCAAAGCCTATGCAAAAATTAGAAGAGACATATCACCATCTGCTGAGGACTCAAGGTCCATTTGAGGCCATCAGTTATTATCACATGATGAAGGATGAGCCGGTAATATTTAGCACTAATGATGGGAAGGAATACACCTACCCGGATTCACTTGAGGAAGCCTATCCTCCATGGCTCACCGAGAAAGAACGACTGGACAAAGAGAATCAATACATTTACATAAATAATCAACAGTTCTTCTGGCCTGTAATGAGCTTCAGAGACAAATTTCTTGCAATCTTGCAGCACCATCAGTGACCACAGCACAAAGCGCGGTCCACTTCGTAAAGCTAAATACACTCAAGACTTGACCGACTCATCTACAAGAACTAATCCATTATAACTTGTTAGTACTACCTTTCTATAAGTGATTCTTGATTTAAGGCCATTAAGAGTTTAAATAATATACATATACACTTACACCGGTCTATCCAAGATGTGGCTCAATGTTCTTAATTTGAACATAGTCATAAGGAAATAAATGATACTTTCTGTTTCTGATTGTAGATTGACTCATTCTGCTTAAAACGCTTCGCCCATTGAAAATGTGATCTAATAGATAGCCCTAACTAGACAAATTAAGAAAAACATTTGATGAAGATTAAAACCTTCATCACCAGTAAATGATTATATTGTCTGTAGGCAGGTGTTTACTCCACCTTAAATTTGGAAATATCCTGCCTTAGGACCATTGTTAAGAGGTGCACAGGCATTACCATCCTTGAGAACATGTACAATAATAAATTGAAGATATGTTCAGGCCCAGAAACGACTGGATGGATTTCTGAGCAACTTATGACAGGTAAGATTCCAGTAACTGATATATTCACTGATATTGATAACAAGCTAGATCAAATGGAAGTTCGACTCAAACCATCAGCAAGGAGCTCAACAAGAACTTGTACAAGTRGCAGTCAGACGGAGGTCAACTATGTACCTCTCCTTAAAAAGGTTGAGGATACATTAACTATGCTAGTGAATGCCACCAGTCGTCAAAATGCTGCAATTGAGGCCCTTGAAAACCGCCTCAGCACACTTGAGAGTAGCTTAAAGCCAATCCAAGACATGGGTAAAGTGATTTCATCATTGAATCGCAGTTGCGCCGAAATGGTTGCAAAATATGATCTTTTAGTTATGACAACTGGACGGGCTACTTCAACTGCAGCTGCAGTAGATGCGTATTGGAAAGAGCACAAACAGCCACCACCAGGGCCAGCACTGTACGAAGAGAATGCGCTTAAAGGAAAAATTGATGATCCAAACAGCTATGTACCAGATGCTGTGCAGGAGGCTTACAAGAATCTTGACAGTACATCGACCCTGACCGAGGAAAATTTTGGGAAACCTTATATATCTGCCAAAGACCTGAAGGAAATCATGTATGATCATCTACCTGGTTTTGGGACTGCCTTTCACCAACTTGTTCAAGTGATTTGTAAAATAGGAAAGGATAACAATCTTTTGGACACAATCCATGCTGAGTTCCAGGCAAGTCTAGCAGATGGTGACTCTCCCCAATGTGCACTCATACAGATAACCAAAAGAGTCCCAATCTTTCAGGATGTGCCGCCCCCGACAATCCACATTAGATCTCGTGGTGATATCCCACGAGCATGCCAAAAGAGCCTCCGACCAGCACCACCATCACCCAAAATTGATCGTGGTTGGGTTTGTTTGTTTAAGATGCAAGATGGTAAAACGCTAGGACTTAAGATCTAAGAATCGAGATTTATTTAACAAGACAAGCCACAACCTTAGATGAAGCCCCAGCCAGACCATTGAACCATTGACGCTGTTGATGATAATATATAATAAATGGTCATATTTGAATATGACAACATCTTGCTTCTTGTTCTGCCTTGTAGCTCTTTGAATTGGAAGACCATTCCAAACTTACAAACATGCACAAGATGTTATGGTTTAGCAAAGAATTGATAAGAGTACCGGTATATAATGTAAATATAACAAGTGAAGAAGATTAAGAAAAACCAGTCTGTATTTTCCAGACTTGGCATTTCTTATCTTCATCTTCGAAAGTGAGATATTTTATCATCAAAAAATGAAGCGCGGAGTGTTACCGACGGCTCCTCCAGCATATAATGATATTGCATACCCTGTGAGCATACTCCCAACCCGACCAAGTGTCATAATCAATGAGACCAAATCAGATGTACTGGCAGTGCCAGGGGCAGATGTTCCATCAAACTCCATGAGACCAGTGGCTGATGATAACATTGATCACTCAAGCCATACTCCAAGCGGAGTAGCGTCTGCCTTTATATTGGAAGCTACAGTGAATGTAATTTCGGGAACAAAAGTCCTAATGAAGCAAATACCTATTTGGCTTCCACTGGGTGTAGCTGATCAGAAGATATACAGCTTTAATTCAACAACAGCCGCAATTATGTTAGCTTCCTACACAGTGACACACTTCGGGAAGATATCTAACCCGCTGGTACGTGTCAACAGGCTAGGTCCAGGAATACCCGATCATCCGCTGCGACTCCTAAAGTTGGGCAATCAGGCATTCCTTCAAGAGTTTGTGCTTCCACCAGTCCAACTTCCCCAGTATTTTACATTTGATCTAACAGCTCTAAAGCTCATCACTCAACCATTGCCAGCTGCAACCTGGACAGACGAAACTCCTGCAGGAGCAGTCAATGTTCTTCGTCCTGGACTCTCACTCCATCCCAAGCTTCGTCCAATTCTTCTGCCGGGGAAGATAGGAAAGAAAGGACATGCTTCAGACTTAACATCACCTGACAAGATTCAAACAATCATGAATGCCATACCGGACCTCAAAATTGTCCCGATTGATCCTACCAAGAACATAGTTGGAATTGAGGTTCCAGAATTACTGGTTCAAAGGTTGACCGGCAAAAAACCACAACCCCAAAATGGCCAACCAATTATTCCAGTTCTTCTTCCGAAATATGTTGGACTTGATCCTATATCGCCAGGGGACTTGACTATGGTTATCACCCAGGATTGTGATTCATGCCACTCTCCAGCCAGTTATCCGTATCACATGGACAAGCAGAATAGTTACTAATAATTTAAATTCCATTCGAGCTATTATTCTGCTAGTAATCCCAACGGGCTCAATAGACTAAAAATCTGATTGTATAGAATTATAAAAGAATTAAGCAGGGGCAACAGAATCACAGCTTACGCCTAGATAACTAATATTAAGGAGTTTTTTAATCTAATTTTCCAGTCTTAAGTAATAATCATTTCTTTTGTAATTAATTATGCATTTGTTAACTTATCGATGTGAGATTTCCTTGGGAACCCGGCGGGGCCCCTACTATCCGCAGTAACCAGAAGAGAAGTTCAACCCAGTCACAACCAAACCAAGCAATATTCTGAACGCCCTATAATCTATTCTAACCAGAGGCATAACAATGGCTAATATTTCAATGACTCGTTAACAATCGTTAGCAATTTTAATCTCCAGATTAAGAAAAAGATATACGATGAAGATTAAGGCAATAACGAGCCGAAACTTCATCTTTCTTAAAGATCTAACATCATCTGTTCCAAAGTCATACAAGGACACATTCAAATCAGGGGTTGTAAGCTGCTATTTCTTACCTTCCCGAATTACCTATACAACATGGGGTCAGGATATCAACTTCTCCAATTGCCTCAGGGATGTTTTCGTAAAACTTCGTTCTTTGTATGGGTAATCATCCTCTTCCAGCGAGCAATCTCTATGCCGCTTGGTATAGTGACAAATAGCACTCTCAGAGCAACAGAAATTGATCAATTGGTTTGTCGGGACAAACTGTCATCAACTAGTCAGCTCAAGTCTGTGGGGCTGAATTTGGAAGGAAATGGAATTGCAACCGATGTTCTATCAGCAACAAAACGCTGGGGATTTCGTTCAGGTGTGCCCCCCAAGGTGGTCAGCTATGAAGCCGGAGAATGGGCAGAAAATTGCTACAATCTGGAGATCAAAAAGTTGGACGGAAGTGAATGCCTCCCTCTCCCTCCCGACGGTGTACGAGGATTCCCTAGATGTCGCTATGTCCACAAAGTTCAAGGAACAGGTCCCTGTCCCGGTGACTTAGCTTTCCATAAAAATGGGGCTTTTTTCTTGTATGATAGATTGGCCTCAACTGTTATCTACCGAGGGACAACTTTTGCTGAAGGTGTCGTAGCTTTTTTAATTCTGTCGGAACCCAAGAAGCATTTTTGGAAGGCCACACCAGCTCATGAACCGATGAACACAACAGATGATTCCACAGGCCACTATATGACCCTGACACTCAGCTACGAGGTGTCAAATTTTGGGGGCAATGAAAGTAACACCCTTTTAAAGGTAGACAACCACACATATGTGCAACTAGATCGTCCACACACTCCGCAGTTCCTTGTTCAGCTCAATGAAACACTTCGAAGAAATAATAGTCTTAGCAACAGTACAGGGAGATTGATTTGGATATTGGATCCTGAGATTGAACCCGATGTTGATGAGTGGGCCTTCTGGGAAACTAAAAAAACTTTTCCCAACAACTTCATGGAGAAAACTTGCATTTACAAATTCTATCAACCCACAACAACAACTCCTCAGATCAGAGCCCGGCGGGAATTGTCCAAAGAAAAATTAGCTACCACCCACCCACCAACAACTCCGAGCTGGTTCCAACGGATCCCCCTCCAGTGGTTTCAGTGCTCACTGCAGGACGGACAGAGGAAATGTCGACCCAAGGTCTAACCAACGGAGAGACACTCACAGGTTTCACCGCGACCCCAGTGACAACCACCATTGCCCCAAGTCCAACCATGACAAGCAAGGCTGATAACAATGTACCAAGTGAACAGCCGAACAACACAGAATCCATTGAATACTCCCCCCCATCGGTGAGCAACGAGACAACTGACCACCCCGAGATGAACTTGATCCAAGGCCCGAACAACTCCGCCCAGAGCCCACAGACCAAGACCACGTCAGCACCCACAGCATCTCCGATGACCCAGGACCCGCAAGCGACGGTCAACAGCAGCAAATCAGGAACCAGCCCAGGAAGTGCAGCCGAACCAAGTCAGCCCGGACTCATCATAAATACAGTAAGTGAGGTAGCTGGTTCACTGAGCCCCACCAGGAAACAAAAGCAATCAGCTCGACAAAACACTGCCAATAAATGTAATCCAGATCTTCACTATTGGACAGCTGTTGATGAGGGGGCAGCAGTAGGGTTGGCATGGATTCCATATTTTGGACCTGCAGCAGAAGGCATCTACATTGAGGGTGTAATGCACAATCAGAATGGGCTTATTTGCGGGCTACGTCAGCTAGCCAATGAGACTACCCAGGCTCTTCAATTATTTCTGCGGGCCACAACAGAACTGAGGACTTACTCACTTCTTAACAGAAAAGCTATTGATTTTCTTCTTCAACGATGGGGGGGTACCTGTCGAATCTTAGGACCATCTTGTTGCATTGAGCCACATGATTGGACAAAAAATATTACTGATGAAATTAACCAAATTAGACATGACTTTATTGATAATCCCCTACCAAACCACGGAGATGATCTCATTCTATGGACAGGTTGGAGACAATGGATCCCGGCTGGAATTGGGATTATCGGGGTCATAATTGCTATAATAGCCCTACTTTGTATATGTAAGATTTTGTGTTGATTTATTCTGAGATCTGAGAGAGAAAAATCTCAGGGTTACTCTAAGGAGAAATATTATTTTTAAGATTTACTTGAATGTTGACCACTTATCTTGAATGAGCAATTAACAATATGTTTTTCTGCTTCTTTACTTGATTTACAATATGATATTTCTCTTAATAATGATTAATATATTAAGAAAAACGTATGACGAAGATTAAAGGGGAGGATCGTTAACGGAAAAACTTCCCATCTCGTTCGTCGAAGTCACGTTGGTGGTGCTTGCAGCTGAGAACAACCCCAGAGATTGTAGGTAGATAAGACCAACACTTATAGGTAGGGGTCAGAAAGTAACAATAACCATAAAAGGAGGGCCTGATATTGCTATTTAATATCCTAGCACCTGATTTCTAGGTTCTAGTTGTACAATCCGAATGATGGAGCATTCAAGAGAACGGGGTAGATCTCGCAACATACGACATAATAGCCGGGAACCATATGAAAATCCATCAAGGTCTCGCTCATTATCTCGGGACCCCAATCAGATCGATCGTAGACAGCCTCGAAGTGCATCCCAAATTCGTGTTCCGAATCTGTTCCATCGGAAAAAGACTGATGCACTCATTGTTCCTCCGGCTCCTAAGGATATATGCCCAACACTCAAAAAAGGATTCCTCTGCGATAGTAACTTTTGCAAAAAAGATCACCAATTGGATAGCTTAAATGATCATGAATTACTACTGCTAATTGCAAGAAGAACATGTGGAATTATCGAGAGCAATTCGCAGATTACATCCCCAAAAGATATGCGATTAGCGAATCCAACAGCTGAAGACTTCTCACAAGGTAATAGTCCTAAATTAACACTTGCAGTCCTTCTTCAAATTGCTGAACATTGGGCAACCAGAGACCTAAGGCAAATTGAGGACTCTAAACTTAGAGCTCTTTTAACCCTTTGTGCCGTATTAACAAGGAAATTTTCTAAATCCCAACTGAGTCTTCTATGTGAGACCCACCTACGGCATGAGGGCCTCGGGCAGGACCAAGCTGATTCTGTATTAGAGGTCTACCAAAGACTCCACAGTGATAAGGGAGGGAATTTTGAGGCTGCCCTGTGGCAACAATGGGACCGACAATCATTAATAATGTTCATCTCTGCTTTTCTCAACATTGCTCTCCAGATACCTTGTGAAAGTTCTAGTGTCGTAGTCTCAGGTATTGCCACATTGTACCCAGCACAAGACAATTCTACACCATCCGAGGCAACTAATGATACCACCTGGTCAAGTACAGTTGGATAGAAAACCACTGGAGCTATTTTTCCACGATTGCTCTCAGTCAATAAATTAATATAGATATAACCCGACTTCGGTGTGCAATTGTCAAGAGTTCCATTTAGTAATAATGATTCTTAAAACAATCTACTATCGCAATTATCGATAGATCTATCCTATTTGACGGTACATGACTTGAATGTAATAAGGTGAGTTGGTATCTGAGGTATTTTGTCTAGAGTATACTCAAAATTGTGTGTCGAGCAAATTATCAATAACAAAGTTAAATTCTCCTAACCTCACATTTTGATCAAGTAATCATGATTTTACGATAATTCTTTGCAGATTATCGGCTTAATCTTTATTAAGAAAAAATCATGATTGTAGACAATTTACTGGTAGTCCTTGGGTATCCAAGTTTATGAACAGAGCTAGAGAGAATTTGCTACTTCCGATGTATAATTTTATTATTTGCTACTTCAAGTGCCTAAAACCAGTAACGCAGGATGAAGATTAATTGCGGAGGAATCAGGAATTCAACTTTAATTCCTTAAGGCCTCATCCGAATCTTCATCAGTTAGCACGTTCTTTTATAGAAGCCATTAGCTTCTAGAGTGATTATATTTTAGTATTAAATTTTGCTAATTGCTTGCTATAAAGTTGAAATGTCTAATGTTTAAATGAACATTTTTTTGAAGCTGACATACGAATACATCATATCATATGAAAACATCGCAGTTAGAGCATCCTTGAAATCTGGTATTGACAGCCACCAGGCTGTTCTCAGTAGTCTGTCCTTAGAAGCTCTTGGGGAGACAAAAAGGAGTCCCAGAGAGTCCTAACAGGTTGGCATAAGGTCATTAACACCAGCATAGTCGGCTCGATCAAGGCTGCAAGCGAGTCGATCTCAACTAAAAAGATTATTTTTTATTGCTTAAACAAATTCCTTTTGTGTGAGACATCCTCAAGGCACAAAATGGCTAAAGCCACAGGCCGATACAATCTCGTGTCTCCAAAGAAAGATATGGAAAAGGGAGTGATTTTGAGTGATCTTTGTAATTTCTTGATTACTCAAACCCTGCAAGGTTGGAAGGTCTATTGGGCAGGAATTGAGTTTGATGTAAGTCAAAAAGGCATGGCCCTTCTGACAAGACTCAAAACAAATGACTTCGCTCCTGCCTGGGCGATGACAAGAAATCTTTTCCCACATCTGTTCCAAAACCCAAATTCGGTTATTCAATCTCCTATCTGGGCTCTGAGGGTAATTTTGGCAGCCGGATTGCAGGATCAGTTGTTAGACCATTCATTAGTTGAGCCATTGACAGGGGCTCTCGGTCTAATTTCTGATTGGCTCCTAACTACAACGTCAACACATTTCAATCTTCGTACTAGAAGCGTAAAGGATCAACTTAGTCTTCGTATGTTATCTTTGATCAGGTCAAACATCTTGCAATTCATCAACAAGCTTGACGCCCTGCATGTTGTCAATTACAATGGTTTACTCAGTAGTATTGAGATCGGGACTTCTACACACACAATCATTATAACTCGTACAAATATGGGTTTTCTCGTGGAAGTTCAGGAGCCTGACAAATCAGCTATGAATTCTAAGCACCCAGGACCAGTCAAATTCTCATTACTTCATGAGTCTGCCTTCAAACCTTTCACTCGTGTTCCACAATCTGGGATGCAATCATTAATAATGGAGTTCAACAGCTTGTTAGCAATTTAACAAGATGATCTTAAAATAAGTACATGAATGAGAATTAGTTGTGGGTCTTATCTAGCATTGCTGAGTTAGCTATCTAATCTATTTTCACTAATTGCTTTAAGCACTGCTAATAGGTTTGTATCACGTTAAGGATTTAGAGTGTATGAATTGTGCAGATTTAAACTTGGGTTTTGCCTTATGCTTCATGGGTGGTCTTTTTGAAATGGAGATTATCAGCATTTCTTTAATGGGAGGAGTTAGCAATCAGAAATTGAAGATAGATGGGCATCGGGATAGAACAATGCCTAACTATTGGGTGGCTTCCATTTTTACATGTGTATATCACCAATTTTTTCCTATCTTTGCTTATATTGGTGTAACTTTATTTAAATAACATGTCAATGCTATACTGTTAAGGGAAGGTCTGAGGAAGATTAAGAAAAAGGCCTTGTGTTCACTTGGTTGCCGTCAAGTATCCTGTGGTCTTTTTCTACCTAGCTTCCTCATGCCATATGGCCACCCAGCATACCCAGTACCCGGATGCACGTTTATCCTCACCTATAGTCCTGGATCAATGTGATTTGGTAACTCGGGCATGTGGGTTATATTCATCTTATTCTCTAAATCCTCAACTAAGGCGATGTAAATTACCAAAACATATATATCGACTTAAGTTCGACACAATAGTATCCAAATTCCTTAGTGATACACCTGTAGCAACACTGCCGATAGACTATTTAGTGCCAATTCTCCTGCGTTCCCTAACGGGGCACGGTGATAGGCCATTGACCCCGACTTGCAATCAATTCCTTGATGAAATTATTAATTACACTCTTCATGATGCAGCCTTTCTTGAGTATTATCTCAAGGCAACAGGTGCACAGGACCATTTGACAAACATTACAACTAGAGAGAAGCTTAAAAACGAAATTCTAAACAATGAGTATGTCCATCAATTGTTCTTCTGGCATGACCTTTCTATTTTGGCTCGACGTGGACGTCTGAATCGCGGGAACAACCGTTCAACCTGGTTTGTTCATGATGAATTCATTGATATTTTAGGATATGGCGATTATATTTTTTGGAAAATACCTTTATCATTATTACCAGTTACTATAGACGGAGTTCCACACGCAGCAACAGACTGGTATCAACCGACTCTTTTTAAAGAATCCATCCTAGGGCACAGCCAAATCCTATCTGTGTCAACAGCTGAGATACTAATTATGTGTAAAGATATTATCACCTGTAGGTTTAATACATCACTGATTGCATCCATTGCAAAATTAGAGGATGTAGATGTGTCTGATTATCCTGACCCGAGTGATATTCTTAAGATATACAATGCTGGAGACTATGTAATATCTATTCTTGGCTCAGAGGGTTATAAGATAATAAAGTACCTCGAACCACTTTGTTTGGCCAAAATCCAACTTTGCTCTAAATTCACAGAAAGAAAAGGTCGTTTCCTCACACAGATGCATTTGTCAGTAATAAATGATCTTCGGGAGTTGATTTCTAACCGCAGGTTAAAGGACTATCAGCAAGAGAAGATTAGGGATTTTCACAAGATATTATTACAATTACAATTATCTCCTCAACAGTTTTGTGAATTATTCTCTGTTCAAAAACATTGGGGGCATCCAATTTTACATAGTGAGAAAGCTATACAAAAAGTAAAACGGCATGCAACCATCCTTAAGGCTCTCAGACCTAATGTCATCTTTGAGACATATTGTGTATTCAAGTACAGTATTGCCAAACACTATTTCGACAGCCAAGGAACTTGGTACAGTGTAATCTCAGATAGGAATTTAACTCCAGGACTCAACTCCTTCATAAAACGTAATCACTTTCCTTCACTACCCATGATTAAGGATCTTCTATGGGAATTCTATCATCTTAATCACCCTCCGTTATTCTCTACGAAGGTGATTAGTGACTTAAGTATTTTCATCAAGGATAGGGCCACAGCTGTTGAACAGACATGTTGGGATGCAGTCTTTGAACCCAATGTGCTAGGTTACAATCCCCCAAACAAATTCTCCACTAAAAGGGTGCCGGAACAATTTTTAGAACAAGAGGATTTTTCAATCGAAAGTGTCCTGAATTATGCACAGGGATTACATTATTTATTACCACAGAATAGGAATTTTTCATTTTCTCTTAAAGAAAAGGAATTAAATATTGGACGAACATTTGGGAAGCTACCATATCTCACACGGAATGTCCAAACTTTATGTGAGGCTCTGTTAGCAGATGGACTGGCTAAGGCCTTCCCCAGTAACATGATGGTAGTAACGGAACGTGAACAAAAAGAGAGCCTTCTTCATCAGGCATCATGGCACCATACCAGTGATGATTTTGGAGAGAATGCTACCGTTCGAGGGAGTAGTTTTGTAACTGATTTAGAGAAGTATAATCTTGCATTTCGCTATGAGTTCACTGCACCATTTATTGAGTATTGCAACCATTGCTATGGCGTGCGTAATGTCTTTAATTGGATGCATTATTTAATCCCGCAGTGTTACATGCATGTAAGTGATTATTATAATCCGCCTCACAATGTTAATCTTAGCAATCGAGAGTATCCTCCTGAAGGCCCGAGTTCATACCGAGGGCATTTAGGAGGCATAGAGGGATTACAACAAAAACTGTGGACAAGTATATCCTGTGCACAAATCTCCTTAGTGGAAATTAAAACTGGTTTTAAGTTACGATCAGCGGTCATGGGAGACAATCAGTGTATAACCGTATTGTCTGTTTTCCCACTTGAAACAGACCCTGAAGAGCAGGAGCAAAGCGCCGAAGACAATGCTGCAAGAGTAGCAGCAAGTCTTGCAAAAGTAACCAGTGCATGTGGGATCTTTCTTAAACCAGATGAGACATTTGTACACTCAGGTTTCATTTATTTCGGAAAAAAACAATATCTCAATGGTGTACAATTACCGCAATCACTCAAAACAGCAGCAAGAATGGCACCACTCTCTGATGCTATATTTGATGATCTACAGGGAACACTTGCCAGTATTGGAACTGCCTTCGAACGTGCTATATCGGAAACGCGACATATCCTCCCATGTCGTATTGTAGCAGCTTTCCATACATATTTCGCCGTTCGGATTTTACAATATCACCATCTTGGATTTAATAAAGGCATCGATTTAGGACAGTTGTCACTTAGTAAACCATTAGACTATGGGACTATTACTCTAACATTGGCGGTTCCACAAGTCCTTGGGGGATTGTCTTTTCTAAATCCAGAAAAGTGTTTTTATCGAAATTTCGGAGATCCTGTGACGTCTGGACTTTTCCAGCTACGGGTGTACCTAGAAATGGTCAACATGAAAGACTTATTTTGTCCATTAATATCGAAAAATCCAGGAAATTGTAGTGCCATTGATTTTGTATTAAATCCATCCGGATTAAATGTTCCAGGATCACAAGACTTGACATCCTTTTTGCGACAGATCGTTAGGCGTAGTATTACACTAACTGCAAGAAATAAGTTAATTAACACTCTCTTCCATGCCTCTGCTGATTTGGAAGATGAGATGGTTTGTAAGTGGCTCCTTTCATCAAACCCTGTCATGAGTCGCTTTGCAGCGGATATTTTTTCCAGGACACCTAGTGGGAAACGTCTCCAAATATTAGGTTATCTTGAAGGGACCAGGACTCTATTGGCCTCCAAAATCATAAACAATAACAGTGAGACACCTGTACTTGATAAGCTGAGGAAGATCACCCTACAAAGATGGAATCTGTGGTTCAGTTATTTGGACCATTGTGACCAATTACTAGCAGATGCTCTACAGAAAATTAGTTGCACGGTGGATTTGGCCCAGATTTTGCGTGAGTATACATGGTCACACATCTTAGAGGGTAGATCATTGATCGGGGCGACATTACCATGTATGGTGGAGCAATTCAAAGTTAAGTGGCTAGGACAATATGAACCTTGTCCAGAATGTCTGAACAAAAAAGGCTCGAATGCTTATGTCTCAGTTGCAGTCAAAGATCAAGTGGTCAGTGCTTGGCCTAATACTTCTCGAATAAGTTGGACAATAGGGAGTGGTGTCCCCTATATAGGATCAAGAACCGAGGATAAAATCGGACAGCCTGCTATCAAGCCGCGGTGCCCTTCATCTGCCCTCAAGGAGGCTATAGAATTAGCCTCAAGGCTCACTTGGGTTACACAAGGAGGTTCTAATAGTGAACAATTAATCCGGCCTTTCTTGGAAGCAAGAGTCAACCTTAGTGTCAGTGAAGTCCTACAAATGACACCATCACATTATTCAGGAAATATTGTCCATCGATATAACGACCAATATAGCCCGCACTCATTTATGGCGAATCGTATGAGCAATACTGCGACCCGTCTCATAGTGTCAACTAATACACTTGGAGAATTCTCAGGTGGAGGGCAGGCCGCCAGGGATAGCAATATAATTTTCCAGAATGTTATAAATTTAGCAGTTGCCCTTTATGATATTAGATTCCGGAATACAAACACCTCTGATATAAGACATAATAGGGCTCATCTCCACCTGACAGAGTGCTGTACTAAAGAGGTCCCGGCCCAGTATTTGACGTATACAAGTGCACTTAATCTGGATTTAAGCCGTTATCGTGATAATGAACTAATATATGACTCAAATCCACTGAAGGGAGGATTGAACTGCAATTTAACAATAGATAGCCCTTTAGTGAAGGGTCCTAGGCTTAACATGATTGAAGATGATCTTCTCCGCTTTCCACACCTTTCCGGATGGGAGTTAGCGAAAACGGTGGTACAATCCATCATCTCAGACAATAGCAACTCATCAACAGATCCAATCAGTAGCGGAGAAACACGCTCTTTCACAACTCATTTTCTCACTTACCCTCAGATTGGCCTTCTTTACAGTTTCGGGGCAGTATTATGCTTTTATCTAGGCAATACTATCCTATGGACTAAAAAACTTGATTATGAACAGTTTCTATATTATTTGCATAACCAGCTGCACAACTTACCTCATCGAGCACTCCGTGTCTTTAAACCAACATTTAAGCATGCTAGTGTGATGTCCCGATTAATGGAAATTGATTCCAACTTCTCAATTTATATTGGCGGGACATCTGGAGATAGAGGGCTGTCTGATGCTGCTCGACTGTTTCTTCGGACAGCAATCGCGAGCTTTTTACAATTTCTTAAAAGCTGGATCATCGACCGCCAAAAGACAATTCCTTTATGGATAGTATATCCGCTTGAAGGTCAACAACCGGAATCCATCAATGAATTCCTACATAAAATTTTGGGTCTGCTCAAGCAAGGCCCCAAAAGTATTCCAAAGGAGGTCAGCATTCAAAATAATGGGCATTTGGATTTGGCAGAAAATAATTATGTTTACAATAGTAAGAGCACTGCTAGTAATTTCTTTCATGCATCCTTAGCTTACTGGAGAGGTAGGAAATCTCGGAAGACTCAAGACCATAATGATTTCTCAAGTGGGGATGGAACATTCACAGAACCCGTGCGTAAGTTCTCAAGCAATCATCAGTCAGATGAGAAGTACTACAAAGTGACATGTGGAAAGTCACCGAAACCGCAAGAACGCAAAGACTTCTCGCAACACAGACTCAGCAATAACGGGCAAACAATGAGTAATCATCGTAAGAAAGGGAAGTTCCACAAGTGGAATCCCTGCAAAGTGTTAATGGAGAGTCAAAGGGGAGCTGTTCTAACAGAGGGTGACTACCTTCAAAACAATACTCCACCAACAGATGATGTATCAAGTCCTCACCGACTCATTCTACCATTTTTTAAATTGGGAAATCACAATCATGCACATGGTCAAGATGACCAAGAATTGATGAATCAAAATATTAAACAGTACCTACATCAGCTAAAGTCTATGTTGGACACCACTATATATTGTAGATTCACAGGGATTGTCTCATCCATGCATTACAAATTAGACGAAGTTCTTATGGAATACAATAGTTTCGATTCAGCTATCACATTAGCTGAAGGTGAGGGGTCAGGGGCACTATTACTTTTGCAAAAATATAATACAAGGTTATTATTTTTGAACACATTGGCAACAGAACACAGTATAGAATCAGAAGTTGTATCAGGTTTTTCTACTCCGAGAATGTTGTTACCAATAATGCAAAAGGTTCATGAAGGACAAGTCACTGTTATCTTAAATAATTCAGCAAGTCAGATAACTGACATAACTAGCTCAATGTGGTTAAGTAATCAAAAATATAATCTACCTTGTCAAGTTGAAATCATTACGATGGATGCTGAAACAACAGAGAACTTAAACAGGTCCCAACTCTACCGAGCAGTGTATAATTTAATACTTGATCACATTGATCCGCAGTATCTCAAGGTGGTGGTACTCAAAGTATTTCTGAGTGATATAGAAGGAATATTATGGATTAATGATTACTTGGCTCCACTGTTCGGAGCTGGTTACTTGATTAAGCCGATTACATCAAGTGCCCGGTCAAGTGAATGGTACCTTTGCTTATCAAATTTGATATCTACTAACAGGAGATCGGCCCATCAGACTCACAAGGCATGCCTTGGTGTTATCAGAGATGCTCTGCAAGCACAAGTCCAGCGAGGCGTGTACTGGTTGAGTCACATCGCACAGTATGCTACAAAGAATCTCCATTGTGAATACATATGCCTTGGTTTTCCATCTCTAGAAAAGGTCCTATATCACAGGTATAATCTAGTCGATACTGGACTCGGTCCATTGTCGTCAGTTACTAGACATTTAACTAACCTCCAGGCAGAGATACGAGACTTAGTATTAGATTATAACCTGATGAGAGAGAGTCGCACTCAAACGTACCATTTTATTAAGACTGCAAAAGGCAGAATCACAAAATTGGTCAATGACTTTCTGAAGTTTTCTTTAATTGTTCAGGCACTCAAAAATAATTCTTCTTGGTATACTGAGCTTAAAAAATTACCTGAGGTGATTAATGTGTGTAATCGATTTTATCATACTCACGGTTGCGAATGTCAGGAAAAATTCTTTGTCCAGACGCTTTATTTACAACGCCTACGTGATGCAGAAATCAAGCTAATTGAACGCCTTACCGGATTAATGCGATTTTATCCAGAAGGGTTAATATATTCCAATCACACATAAGTACTAAATCATCATAGTATGAGGAATAAGATAATGACAATTCCTGACGACAGTTTTAGTTCCTATTCTAAGTATATCGAAAGAGAGTATGCCAATCTTAATTATTAAAGGTAACAAGCTATTATTTACTACTTATTAATAAGAATAAACTTTATCATAGCGTAACACATCATAACTTTATAACGATTTTGCATTTCTAATCCTAGTATTTATTAGAATGTACTATCAGAGAAATGGCCCCAGTTCCTATCTTTAAATAATGATTGTGTGTTTTAAATTATTATTTTATTAGGTTTATGAGTTGGTCACACAGTGAGTATCAGTGATTGAGGATTATGTAGATAGGTAATCTAACACTGAATCACCTATCTGATGTCACCATACCCTAATGTTGTGCTAGTTGCATTTAAACATGCTATCCTCAGTTAAGTAACATAGACTGAAAATGCTAAGAAGAGATTGGAGTAAAAGTATAAAATAAAGTTAATTGAACTTCAAAATGATTAAATGATAATGATCTTGGGAACTCAATATGACCTCAAGTCAAAAATAATGTCAATATAATTATTTAGTAATATGAGTGATAATGTAAATTTTGATAATTAACTAACTGTAGTAATTAAGGTCAAATGCAAACATTATAAGAAT >Reston_ebolavirus_-_Reston_strain_Reston08-E_complete_genome GTGTGCGAGTAACTATGAGGAAGATTAACAGTTTTCCTCAGTTTAAGGTATACACTGAAATTGAAATTGAGATTCTCCTCTTTGATATTCTGTAACTTTCCCTAGTTGTGACAATTGAATCAGTTTTATCTATTACCAATTACCATCAACGTGGTATGTCTAGTGATCTTGGGACTCTTCTTCATCTGGTTTTTCCTAGAGCTCTGAATCTATTTTGTGAGAAGTTCATCCAAACGACCCAGTGTCTGAAAATACAAGAGGTTCCCCTTTCCGTCAAGTTTAAGGGGTTGTTTTGATTGTGTGTAGATTTTATAATCCTAGAGTGCCAGGGAGTTGCGTGTCATCATTAATTAGGAAGATCAAGGAAACAGTTTGTTCCAATAATATCGTATATCTTGACTAAGTCGAACAAGGGGAAGTCAATATGGATCGTGGGACCAGAAGAATCTGGGTGTCGCAAAATCAAGGTGATACTGATTTAGATTATCATAAAATTTTGACAGCTGGCCTTACTGTTCAACAGGAAATTGTCAGGCAGAAAATAATTTCTGTATATCTTGTTGATAACTTGGAGGCTATGTGTCAATTGGTAATACAAGCCTTTGAGGCCGGAATTGATTTCCAAGAAAATGCTGACAGCTTCCTTCTGATGCTTTGCCTACATCATGCTTACCAAGGTGACTATAAATTGTTCTTGGAGAGCAATGCTGTACAGTATTTGGAAGGTCATGGATTCAAATTTGAGCTCCGGAAGAAGGACGGTGTCAATCGGCTCGAGGAATTGCTTCCTGCTGCAACGAGTGGAAAAAACATTAGGCGTACGTTGGCCGCACTGCCTGAAGAGGAGACTACAGAAGCAAATGCAGGGCAATTTCTCTCATTTGCGAGTTTGTTTCTTCCCAAACTGGTTGTGGGAGAGAAGGCTTGCTTGGAAAAAGTCCAGCGACAAATTCAGGTTCATGCAGAACAGGGTTTAATTCAATATCCCACTGCATGGCAATCAGTTGGACACATGATGGTAATCTTCAGATTGATGAGGACTAATTTCTTGATTAAATATTTACTGATTCACCAGGGTATGCATATGGTAGCTGGCCACGATGCCAATGATGCTGTCATTGCTAATTCAGTTGCTCAGGCTCGCTTTTCGGGACTCCTAATTGTCAAAACCGTTCTTGATCATATTCTGCAGAAAACCGACCAAGGAGTAAGACTTCACCCTTTGGCCCGAACAGCCAAAGTGCGTAATGAGGTTAATGCATTTAAGGCCGCCCTAAGCTCACTTGCTAAGCATGGGGAATATGCCCCTTTTGCTCGCCTTCTCAATCTCTCAGGAGTTAACAACCTAGAACATGGTCTCTACCCACAGTTATCAGCAATTGCTCTTGGAGTTGCCACAGCACATGGTAGCACCCTTGCAGGAGTTAATGTTGGTGAGCAGTATCAGCAACTTAGAGAGGCTGCAACTGAAGCTGAGAAGCAACTCCAACAATATGCTGAGTCCAGGGAACTCGACAGCCTAGGCCTAGACGATCAGGAAAGAAGAATACTAATGAACTTCCATCAGAAGAAAAATGAAATTAGTTTCCAGCAGACCAATGCAATGGTAACCCTTAGGAAAGAGCGACTGGCTAAATTAACAGAAGCTATAACGCTGGCCTCAAGACCTAACCTCGGGTCTAAACAAGACGACGACAATGAAATACCGTTCCCTGGGCCTATAAGCAACAACCCAGACCAAGATCATCTGGAGGATGATCCTAGAGACTCCAGAGACACTATCATTCCTAATAGTGCAATTGACCCCGAGGATGGTGATTTCGAAAATTATAATGGCTATCATGATGATGAAGTTGGGACGGCAGGTGACTTGGTCTTGTTCGACCTTGACGATCATGAGGATGACAATAAAGCTTTTGAGCCACAGAACAGCTCACCACAATCCCAAAGGGAAATAGAGAGAGAAAGATTAATTCACCCACCCCCAGGCAACAATAAGGACGACAATCGGGCTTCAGACAACAATCAACAATCAGCAGATTCTGAGGAACAAGAAGATCAATACAACAGGCACCGAGGCCCAGAACGTACGACCGCCAATCGAAGACTCTCACCAGTGCACGAGGAGGACACCCTTATAGATCAAGGCGATGATGATCTCTCAAGCCCACCTCCGCTGGAATCTGATGATGACGATGCATCAAGTAGCCAACAAGATCCCGATTATACAGCTGTTGCCCCTCCTGCTCCTGTATACCGCAGTGCAGAAGCCCACGAGCCTCCCCACAAATCCTCGAACGAGCCAGCTGAAACATCACAATTGGATGAAGACCCTGATATCGGTCAATCAAAATCTATGCAAAAATTAGAAGAGACATATCACCATCTGCTGAGAACTCAAGGTCCATTTGAGGCTATCAATTATTATCACATTATGAAGGATGAGCCGGTAATATTTAGCACTGATGATGGGAAGGAATACACCTACCCGGATTCACTTGAGGAAGCCTATCCTCCATGGCTCACCGAGAAAGAACGACTGGACAATGAAAATCGATACATTTACATAAATAATCAACAGTTCTTCTGGCCTGTCATGAGTCCCAGAGACAAATTTCTTGCAATCTTGCAGCACCATCAGTAACCACAGCACAAAGCGCGGTCCACTTCGTAAAGCTAAATACACTTAAAGCTTGACCGATTCATCTACAAAAGCTAATCCATTATAACTTATTAGTGCTACTTTTCTATAAGTGATTCTCAATCTAAGGCCATTAAGAGTTTAAGCAATATACATATACACTTACACCGGTCTATCCAAGATGTGGCTCAATGTTCTTAATTTGAACATAGTCACAAGGGGATAAATAATACTTTATATTTCTGATTGTAGATTGACCCATTCTGCTTAAAATACTTCGCCCATTAAAAATGTGATCTAATAGATAGCCCTGACTAGACAAATTAAGAAAAACATTTGATGAAGATTAAAACCTTCATCGCCAGTAAATGATTATATTGTCTGTAGGCAGGTGTTTACTCCACCTTAAAGTCGGAAATATCCTACCTTAGGACCATTGTTAAGAGGTGCATAGGCATTACCATCCTTGAGAACATGTACAATAATAAATTGAAGATATGTTCAGGCCCAGAGACGACTGGATGGATCTCTGAGCAACTAATGACAGGTAAGATTCCAGTAACTGATATATTCATTGATATTGATAACAAGCCAGATCAAATGGAAGTCCGGCTCAAACCATCATCAAGGAGCTCAACAAGAACTTGTACAAGTAGCAGTCAGACGGAGGTCAACTATGTACCTCTCCTTAAAAAGGTTGAGGATACATTAACTATGCTAGTGAGTGCCACCAGTCGTCAGAATGCTGCAATCGAGGCCCTTGAAAACCGCCTCAGCACACTTGAGAGTAGCTTAAAGCCAATCCAAGACATGGGTAAAGTGATTTCATCATTGAATCGCAGTTGTGCCGAAATGGTGGCAAAATATGATCTTCTAGTTATGACAACTGGACGGGCTACTTCAACTGCAGCTGCAGTAGATGCGTACTGGAAAGAGCACAAACAGCCACCACCAGGGCCAGCGTTGTATGAAGAGAATGCGCTTAAAAGAAAAATCGATGATCCAAACAGCTATGTACCAGATGCTGTGCAGGAGGCTTACAAGAACCTTGACAGTACATCGACCCTGACCGAGGAAAATTTTGGGAAACCTTATATATCTGCTAAAGATCTGAAGGAGATCATGTATGATCATCTACCTGGTTTTGGGACTGCCTTTCACCAACTTGTTCAAGTGATTTGTAAAATAGGAAAGGATAACAACCTCTTGGACACAATCCATGCTGAGTTCCAGGCAAGTCTAGCAGATGGTGACTCTCCCCAATGTGCACTCATACAGATAACCAAAAGAGTCCCAATCTTTCAGGATGTGCCACCCCCGACAATCCACATTAGATCCCGTGGTGATATCCCACGAGCATGCCAAAAGAGTCTCCGACCAGCACCACCATCACCCAAAATTGACCGTGGTTGGGTTTGTTTGTTTAAGATGCAAGATGGTAAAACGCTTGGACTTAAGATCTAAGAATCAAGATTTATTTAACAAGACAAGCCACAACCTTAGATAGAACCTCAGCCAGACTATTGAACTATTGACGCTGTTGATGATAATATATAATTAATGGTCATACTTGAATATGACAACATCTTGCTTCTTGTTTTGCCTTGTGTTTCTTTGAATTGAAAGATCATTCCAAACTTACAAACATGCACAAGATGTTATGGTTTAGCAAAGAATTGATAGGAGTACTGGTATATAATGTAAATATAATAAGTGATGAAGATTAAGAAAAACCAGTCGGTATTTTCCAGGCTTGGCATTTCTTATCTTCATCTTCTAAAGTGAGATATTTTATCATCAAAAAATGAGGCGCGGAGTGTTACCAACGGCTCCTCCAGCATATAATGATATTGCATACTCTATGAGCATACTCCCCACCCGACCAAGTGTCATAGTCAATGAAACCAAATCAGATGTACTGGCAGTGCCAGGAGCAGATGTTCCATCAAACTCCATGAGACCAGTGGCTGATGATAACATTGATCACTCAAGCCATACTCCAAGCGGAGTAGCTTCTGCCTTTATATTGGAAGCTACAGTGAATGTAATTTCGGGGACAAAAGTCCTGATGAAGCAAATACCTATTTGGCTTCCACTGGGTGTAGCTGATCAGAAGATATACAGCTTTGATTCAACAACAGCCGCAATTATGTTGGCTTCCTACACAGTGACACACTTCGGGAAGATATCTAATCCGTTGGTACGTGTCAACAGGCTAGGCCCAGGAATACCCGATCATCCGCTACGACTCCTAAGGTTGGGCAATCAGGCATTCCTTCAAGAGTTTGTTCTTCCACCGGTTCAGCTTCCCCAGTATTTCACATTTGATCTAACAGCTCTAAAGCTCATCACTCAACCATTGCCAGCTGCAACCTGGACAGACGAAACTCCAGCAGGAGCAGTCAATGCTCTTCGTCCTGGGCTCTCACTCCATCCCAAGCTTCGTCCAATTCTTCTACCGGGGAAGATAGGAAAGAAAGGTCATGCTTCAGACTTAACATCACCTGACAAAATTCAAACAATCATGAATGCAATACCGGACCTCAAAATTGTCCCGATTGATCCAACCAAGAACATAGTTGGAATTGAGGTTCCAGAATTACTAGTTCAAAGGCTGACCGGCAAAAAGCCACAACCCAAAAATGGCCAACCAATTATTCCAGTTCTTCTTCCGAAATATGTTGGATTTGATCCTATATCGCCAGGGGACTTAACTATGGTTATCACCCAGGACTGCGATTCATGCCACTCTCCAGCCAGCCATCCGTATCACATGGACAAGCAGGATAGTTACCAATAATTTTAATTCTATTCGAGCTATTATTCTGCTAGTAATTTCGACGGGATCAATAGACTAAAAATCTGATTGTATAGAATTATAAAAGAATCAAGCAGAGGCAACAGACTCACAGCTTACGCCTAGATAACTAATATTAAGGAGTTTTTTAATCTAATTTTCAAGTCTTAAGTAATAAGTATTTCTTTTGTAATTAATTATGCATTTGTTAACTTATCGGTGCGAGATTTCCTTGAGAGCCCGGCGGGGCTTCTACTATCTGTAGTAACCAGAAGAGAAGTTCAACTCAGTCAAAACTAAACCAAGTAATATTCTGAATGCTCTATAGTCTATTCTAATCAGAGGTATAACAATGGCTAGGATTTCAATGACTCTTTAACAATCGCTAGTAATTTTAATCTCCAGATTAAGAAAAAGATATACGATGAAGATTAAGGCGACAACAAGCCGAAACTTCATCTCTTTTAAAGATCTAGCATTATCTGTTCCAAAGTCATACAAGGACACATTCAAATCAGGGATTGTAAGCTGCTATTTCTTACCTCCCCAAATCACCTATACAACATGGGGTCAGGATATCAACTTCTTCAATTGCCTCGGGAACGTTTTCGTAAAACTTCATTCCTAGTATGGGCAATCATCCTCTTCCAGCGAGCAATCTCCATGCCGCTTGGTATAGTGACAAATAGCACTCTCAAAGCAACAGAGATTGATCAATTGGTTTGTCGGGACAAACTGTCATCAACCAGTCAGCTCAAGTCTGTGGGGCTGAATCTGGAAGGAAATGGAATTGCAACTGATGTCCCATCAGCAACAAAACGCTGGGGATTCCGTTCAGGTGTGCCTCCCAAGGTAGTCAGCTATGAAGCCGGAGAATGGGCAGAAAATTGCTACAATCTGGAGATCAAAAAGTCAGACGGAAGTGAGTGCCTCCCTCCCCCTCCCGACGGTGTACGGGGATTCCCTAGATGTCGCTATGTCCACAAAGTTCAAGGAACAGGTCCTTGTCCCGGTGACTTAGCTTTCCATAAAAATGGGGCTTTTTTCTTGTATGATAGATTGGCCTCAACTGTCATCTACCGTGGGACAACTTTTGCTGAAGGTGTCATAGCTTTTTTAATTCTGTCAGAGCCCAGGAAGCATTTTTGGAAGGCTACACCAGCTCATGAACCGGTGAACACAACAGATGATTCCACAAGCTACTACATAACCCTGACACTCAGCTACGAGATGTCAAATTTTGGAGGCGAGGAAAGTAACACCCTTTTTAAGGTGGACAACCACACATATGTGCAACTAGATCGTCCACACACTCCGCAGTTCCTTGTTCAGCTCAATGAAACACTTCGGAGAAATAATCGCCTTAGCAACAGTACAGGGAGATTAACTTGGACATTGGATCCCAAAATTGAACCAAATGTTGGTGAGTGGGCCTTTTGGGAAACTAAAAAAACTTTTCCAAACAACTTCAGGGAGAAAACTTGCATTTCCAAATTCTATCAACCCACACCAACAACTCCTCAGATCAGAGCCCGGCGGGAACTGTCCAAGGAAAAATTAGCTACCACCCACCCACCAACAATTCCGAGCTGGTTCCAACGGATTCCCCTCCAGTGGTTTCAGTGCTCACTGCAGGACGGACAGAGGAAATGTCGACCCAAGGTCTAACTAACGGAGAGACAATCACAGGTTTCACCGCGAACCCAATGACAACCACCATTGCCCTAAGTCCAACCATGACAAGCAAGGTTGACAACAATGTACCAAGTGAACAACCGAACAACACGACATCCATTGAAGACTCCCCCCCATCGGCAAGCAACGAGACAATTGACCACTCCGAAATGAATTCGATCCAGGGCTCGAACAACTCCACCCAGAGCCCACAGACCAAGACCAAGCCAGCGCCCACAGCATCCCTGATGACCCTGGGCCCGCAAGAGACGGCCAACAGCAGCAAACCAGGAACCAGCCCAGGAAGCGCAGCCGAACCAAGTCAGCCTGGACTCACTATAAATACAGTAAGTAAGGTAGCTGATTCACTGAGTCCCACCAGGAAACAAAAGCGATCGGTTCGACAAAACACCGCTAATGAATGTAACCCAGATCTTCACTATTGGACAGCTGTTGATGAGGGGGCAGCAGTAGGATTGGCATGGATTCCATATTTTGGACCTGCAGCAGAAGGCATCTACATTGAGGGTGTAATGCATAATCAGAATGGGCTTATTTGCGGGCTACGTCAGCTAGCCAATGAAACTACCCAGGCTCTTCAATTATTTCTGCGGGCCACAACAGAACTGAGGACTTACTCACTTCTTAACAGAAAAGCTATTGATTTTCTTCTTCAACGATGGGGAGGTACCTGTCGAATCTTAGGACCATCTTGTTGTATTGAGCCACATGATTGGACAAAAAATATTACTGATGAAATTAACCAAATTAAACATGACTTTATTGACAATCCCCTACCAGACCACGGAGATGATCTTAATCTATGGACAGGTTGGAGACAATGGATCCCGGCTGGAATTGGGATTATTGGAGTTATAATTGCTATAACAGCCCTACTTTGTATATGTAAGATTTTGTGTTGATTTATTCTGAGATCTGAGAGAAAGAAATCTCAGGGTTACTCTAAGGAGAAGTATTATTTTTAAAATTTACTTAAATGCTGACCACTTATCTTAAATGATCAATTAATGATATGTTTTTCTGCTTCTTTGCTTGATTTACAATATGATATTTCTCTTAATAATGATTAATATATTAAGAAAAACTTATGACGAAGATTAAAGGGGAGGATCGTTAACGGGAAAATCTCCCATCTCGTTCGTCGAGGCCACGTTGGTGGTGCTTGCAGCTGAGAACCACTCCAGAGATTGTAGGTAGAAAGGACCAGCATTTATAGGTAGGGGTCAGAAAGCAACAATAACCATAAAAAGAGAGCCTGACATTGCTATTTAATATCCTAGAACCTGATTTCTAGGTTCTAGTTGTACAATCCGGATGATGGAGCATTCAAGAGAACGGGGTAGATCTAGCAACATGCGACATAATAGCCGGGAACCATACGAAAATCCATCAAGGTCTCGCTCATTATCTCGGGACCCTAATCAGGTTGATCGTAGACAGCCTCGAAGTGCATCCCAAATTCGTGTTCCGAATCTGTTCCATCGGAAAAAGACTGATGCACTCATAGTTCCTCCGGCTCCCAAAGATATATGCCCAACACTCAAAAAAGGATTCCTCTGCGATAGTCAATTTTGCAAAAAAGATCACCAATTGGATAGCTTAAATGATCATGAATTACTACTGCTAATTGCAAGAAGAACATGTGGAATTATCGAGAGCAATTCGCAGATTACATCCCCAAAAGATATGCGGTTAGCAAATCCAACAGCTGAGGACTTCTCACAAGGTAATAGTCCTAAATTAACACTTGGAGTCCTTCTTCAAATTGCTGAACATTGGGCAACCAGAGACCTAAGGCAAATTGAGGACTCTAAACTTAGAGCTCTTTTAACCCTTTGTGCCGTATTAACAAGGAAATTTTCTAAATCCCAACTGGGTCTTCTATGCGAGACCCACCTACGGCATGAGGGCCTCGGACAGGACCAAGCTGATTCTGTATTAGAGGTCTACCAAAGACTCCACAGTGATAAAGGAGGGAATTTTGAGGCTGCCCTGTGGCAACAATGGGACCGACAGTCGTTAATAATGTTCATCTCTGCTTTTCTCAACATTGCTCTCCAGACGCCTTGTGAAAGTTCTAGTGTCGTAGTCTCAGGTCTTGCCACATTGTACCCAACACAAGACAATTCTAAACCATCCGAGGCAACTAATGATACCACCTGGTCAAGTACAGTTGAATAGAAAACCACTGGAGCTATTTTTCCACGATTGCTCTCAGTCAATAAATTAATATAGATATAATACGACTTCGGTGTGCAATTGTCAAGGGTTCCATTTAGTAATAATGATTCTTAAAACAATCTACTATCGCAATTATCGATGGATCTACCTTATTTGACGGTACATGACTTGAATGTAATAAGGTAAGTTGGTATCTGAGGTATTTTGTCTAGAGTATACTCAAAATCGTATGTCTAGCAAATTATCAATAGCAAAGTTAAACTCTCCTAACCTCATATTTTGATCAAGTAATCATGATTTTATGGTAATTCTTTGCAGATTATCGGTTTAATCTTTATTAAGAAAAAATCATGAGTGTAGACAATTTACTGGTAGTCCCTGGGTATCCAAGTTTATGAACAGAGCTAGAGAGAATTTGCTACTTCCGAGGTATAACTTTATTATTTGCTACTTCGAATGCCTAAAACCAGTAATGCAGGATGAAGATTAATTGCGGAGGAATCAGGAATTCAACTTTAGTTCCTTAAGGCCTCGTCTGAATCTTCATCAGTTAGCAAGTTCCTTTATAGAAGTCATTAGCCTCTAAGGTGATTATATTTTAGTATTAAATTCTGTTAATTGCTTGCTATAAAGTTGAAATGTCTAATGCTTAAATGAACATTTCTTTGAAGCTGACATACGAATACATCATATCATATGAAAACATCGCAATTAGAGCGTCCTTGAAGTCTGGCATTGACAGTCACCAGGCTGTTCTCAGTAGTCTGTCCTTGGAAGCTCTTGGGGAGACAAAAAGAGGTCCCAGAGAGTCCCAACAGGTTGGCGTAAGGTCATTAACACCAGCATAGTCAGTTCGATCAAGACTGTAAGCGAGTCGATTGCAACTAAAAAGATTATTTCTTGTTGTTTAAACAAATTCCTTTTGTGTGAGACATCCTCAAGGCACAAGATGGCTAAAGCCACAGGCCGATACAATCTCGTGCCCCCAAAGAAAGATATGGAAAAGGGAGTGATTTTTAGTGATCTTTGTAATTTCTTGATTACTCAAACCCTGCAAGGTTGGAAGGTTTATTGGGCAGGAATTGAGTTTGATGTAAGTCAAAAAGGCATGGCTCTTCTGACAAGACTCAAAACAAATGACTTTGCTCCTGCCTGGGCGATGACAAGAAATCTCTTCCCACATCTGTTCCAAAACCCAAATTCGGTTATTCAATCTCCCATCTGGGCTTTGAGGGTAATTTTGGCAGCCGGATTGCAGGATCAGTTGTTAGACCATTCATTGGTTGAGCCATTGACAGGGGCTCTCGGTCTAATTTCTGATTGGCTCCTAACTACAACGTCAACACATTTCAATCTTCGTACTAGAAGCGTAAAGGACCAGCTTAGTCTTCGTATGTTATCTTTGATCAGGTCAAACATCTTGCAGTTCATCAACAAGCTTGACGCCCTGCATGTTGTCAATTACAATGGTTTACTCAGTAGTATTGAAATCGGGACTTCTACACACACAATCATTATAACTCGTACAAATATGGGTTTTCTCGTGGAAGTTCAGGAACCTGACAAATCAGCTATGAATTCTAAGCGCCCAGGACCAGTCAAGTTCTCATTACTTCATGAGTCTGCCTTCAAACCTTTCACTCGTGTTCCGCAATCTGGGATGCAATCATTAATAATGGAGTTCAACAGTTTGTTGGCAATTTAACAAGGTGATCTTAAAATAAGTACATGAATGAGAATTAGTTGTGGGTCTTACCTAGCATTGTTGAGTTAGCTACCTAATCTATTTTCACTAACTGCATTGAGCACTGCTAGTAGGTTTGCATTACGTTAAAGATTCAGAGTGTATGAATTGTGAAGATTTAAACTTGGGTTTTGCCTTATGCTTCATAGGTGGTCTTTTTAAGATGGAGATTATCAGCATTTCTTCAATGGGAGGAGTTAGCAATCAGGAATTGGAGATAAATGGACATCGGGATAGAACAATGCCTAACTATTGGGCGGCTTTCATTTTTAAATGTGTATATAACCAATCTTTTCCTATCTTTGCTTATATTGGTATAACTTTACTTTAATAACATGTCAATGCTATACTGTTAAGAGAAGGTCTGAGGAAGATTAAGAAAAAGGCCTCGTGTTCACTTGGTTGCCGTCAAGTATCCTGTGGTTTTTTTCTACCTAACTTCCTCATGCCATATGGCTACCCAGCATACCCAGTACCCGGATGCACGTTTATCTTCACCTATAGTCCTGGATCAATGTGATTTGGTAACTCGAGCATGTGGGTTATATTCATCTTATTCTCTAAATCCTCAACTAAGGCAATGTAAGTTGCCAAAACATATATATCGACTTAAGTTCGACACAATAGTATCCAAATTCTTAAGTGATACACCTGTAGCAACACTGCCGATAGACTATTTAGTACCAATTCTCCTGCGTTCCCTAACGGGGCACGGTGATAGGCCGTTGACCCCGACTTGCAATCAATTCCTAGATGAAATTATTAATTACACTCTTCATGATGCAGCCTTTCTTGATTACTATCTCAAGGCAACAGGTGCACAGGACCATTTGACAAACATTACAACTAGAGAGAAGCTTAAAAACGAAATTCTAAACAATGATTATGTCCATCAATTGTTCTTCTGGCATGACCTGTCTATTTTGGCTCGACGTGGGCGTCTGAATCGCGGGAACAACCGTTCAACCTGGTTTGTTCATGATGAATTCATTGATATTTTAGGATATGGCGATTATATTTTTTGGAAAATACCTTTATCATTATTACCGGTTACTATAGACGGGGTCCCACACGCAGCAACTGACTGGTATCAACCGACTCTTTTTAAAGAATCCATCCTAGGACACAGCCAAATCCTATCTGTGTCGACAGCTGAAATACTAATTATGTGTAAAGATATTATCACCTGTAGGTTCAATACATCACTGATTGCATCCATTGCAAAATTAGAGGATGTAGATGTGTCTGATTATCCTGACCCGAGTGATATTCTTAAGATATACAATGCTGGAGACTATGTAATATCTATTCTTGGCTCAGAAGGTTATAAGATAATAAAGTACCTTGAACCACTTTGTTTGGCCAAAATCCAACTTTGCTCTAAATTCACAGAGAGAAAAGGTCGTTTCCTCACACAGATGCATTTATCAGTAATAAATGATCTTCGGGAGTTGATTTCTAACCGCAGGTTAAAGGACTATCAGCAAGAGAAGATTAGGGATTTTCACAAAATATTATTACAATTACAATTATCTCCTCAACAGTTTTGTGAATTATTCTCTGTTCAAAAACATTGGGGGCATCCAATTTTACATAGTGAGAAAGCTATACAAAAAGTAAAACGGCATGCAACCATCCTTAAAGCTCTCAGACCTAATGTCATTTTTGAGACATATTGTGTATTCAAGTACAATATTGCCAAGCACTATTTCGACAGCCAAGGAACTTGGTACAGTGTAATCTCAGACAGGAATTTAACTCCGGGACTCAACTCCTTCATAAAACGTAATCACTTTCCTTCACTACCCATGATTAAGGATCTTCTATGGGAATTCTATCATCTTAATCACCCTCCGTTATTCTCTACAAAGGTGATTAGTGACTTAAGTATTTTCATCAAAGATAGGGCCACAGCTGTTGAACAGACATGTTGGGATGCAGTCTTTGAACCCAATGTGCTAGGTTACAATCCTCCGAACAAATTCTCCACTAAAAGGGTGCCGGAACAATTTCTAGAACAGGAGGATTTTTCAATCGAAAGTGTCTTGAATTATGCACAGGAATTACGTTATTTATTACCACAGAATAGGAATTTTTCCTTTTCTCTTAAAGAAAAGGAATTAAATATTGGACGAACATTTGGGAAGCTACCATATCTCACACGGAATGTCCAAACTTTATGTGAGGCTCTGTTAGCAGATGGACTGGCTAAGGCCTTCCCCAGTAACATGATGGTAGTAACTGAACGTGAACAAAAAGAGAGCCTTCTTCATCAGGCATCATGGCACCACACCAGTGATGATTTTGGAGAGAATGCTACCGTTCGAGGGAGTAGTTTTGTAACTGATTTAGAGAAGTACAATCTTGCATTTCGCTATGAGTTCACTGCACCATTTATTGAGTACTGCAACCATTGCTATGGTGTGCGTAATGTCTTTAATTGGATGCATTATTTAATCCCGCAGTGTTACATGCATGTAAGTGATTATTATAATCCGCCTCACAATGTTAATCTTAGCAATCGAGAATATCCTCCTGAAGGCCCGAGTTCGTACCGAGGACACTTAGGAGGCATAGAGGGATTACAACAAAAACTGTGGACGAGTATATCCTGTGCACAAATCTCCTTAGTGGAAATTAAAACTGGTTTTAAGTTACGATCAGCGGTCATGGGAGACAATCAGTGTATAACCGTATTGTCTGTTTTTCCACTTGAAACAGACCCTGAAGAGCAGGAGCAAAGCGCCGAAGACAATGCTGCAAGAGTAGCAGCAAGTCTTGCAAAAGTAACCAGTGCATGTGGGATCTTTCTTAAACCAGAAGAGACATTCGTACACTCAGGTTTCATTTATTTCGGAAAAAAACAATATCTCAACGGTGTACAATTACCGCAATCACTCAAAACAGCAGCAAGAATGGCGCCACTCTCTGATGCTATATTCGATGATCTACAAGGAACACTTGCCAGTATTGGAACTGCCTTCGAACGTGCTATATCGGAAACGCGACATATCCTCCCATGTCGTATCGTAGCAGCTTTCCATACGTATTTCGCCGTTCGGATTTTACAATATCACCATCTTGGATTTAATAAAGGCATCGATTTAGGGCAGTTGTCACTTAGTAAACCATTAGACTATGGGACTATTACTCTAACATTGGCGGTTCCACAAGTCCTTGGGGGATTGTCTTTTCTAAATCCAGAAAAGTGTTTTTATCGAAACTTCGGAGATCCTGTGACTTCTGGACTTTTCCAGCTACGGGTGTACCTAGAAATGGTTAACATGAAAGACTTATTTTATCCATTAATATCGAAAAATCCAGGAAATTGTAGTGCCATTGATTTTGTCTTAAATCCATCCGGATTAAATGTTCCAGGATCACAAGACTTGACATCCTTTTTGCGACAGATCGTTAGGCGTAGTATTACGCTAACTGCAAGAAATAAGTTAATTAACACTCTCTTCCATGCCTCTGCTGATTTGGAAGATGAGATGGTTTGTAAATGGCTCCTTTCATCAAACCCTGTTATGAGTCGCTTTGCAGCAGATATTTTTTCCAGGACACCTAGTGGTAAACGTCTCCAAATATTAGGTTATCTTGAAGGGACCAGGACTCTATTGGCCTCCAAAATCATAAACAACAACAGTGAGACACCTGTACTTGATAAGCTGAGGAAGATCACCCTACAAAGATGGAATCTGTGGTTCAGTTATTTGGACCATTGTGACCAATTACTAGCAGATGCTCTACAGAAGATTAGTTGCACGGTGGATTTGGCCCAGATTTTGCGTGAGTATACATGGTCACACATCTTAGAAGGTAGACCATTGATCGGAGCAACATTACCATGTATGGTGGAGCAATTCAAAGTTAAGTGGCTAGGACAGTATGAACCTTGTCCAGAATGCCTCAACAAAAAAGGCTCAAATGCTTATGTCTCAGTTGCAGTCAAAGATCAAGTGGTCAGTGCTTGGCCTAATACTTCTCGAATAAGTTGGACAATAGGGAGTGGTGTCCCCTATATAGGGTCAAGAACCGAGGATAAAATCGGACAGCCTGCAATCAAGCCGCGATGCCCTTCATCTGCCCTCAAGGAGGCTATAGAATTAGCATCAAGGCTCACTTGGGTTACACAAGGAAGTTCTAATAGTGAACAATTAATCCGGCCTTTCTTAGAAGCGAGAGTCAACCTTAGTGTCAGTGAAGTCCTGCAAATGACACCATCACATTATTCAGGAAATATTGTCCATCGATATAACGACCAATATAGCCCGCACTCATTTATGGCGAATCGCATGAGCAATACTGCGACCCGTCTCATAGTGTCAACTAATACACTTGGAGAATTTTCAGGTGGAGGGCAGGCCGCCAGGGATAGCAATATAATTTTCCAGAATGTTATAAATTTAGCAGTTGCCCTTTATGATATTAGATTCCGGAATACGAACACCTCTGATATAAGGCACAATAGGGCTCATCTTCACCTGACAGAGTGCTGTACTAAAGAGGTCCCGGCCCAGTATTTGACATATACAAGTGCACTTAATCTGGATTTAAGCCGTTATCGTGATAATGAACTAATATATGACTCAAATCCACTGAGGGGGGGATTGAACTGCAATTTAACAATGGATAGTCCCTTAGTGAAGGGTCCTAGGCTTAACATGATTGAAGATGATCTTCTCCGCTTTCCACACCTTTCTGGATGGGAGTTAGCGAAAACGGTGGTACAATCCATCATCTCAGACAATAGCAACTCATCAACAGATCCAATCAGCAGCGGAGAAACACGCTCTTTCACAACTCATTTCCTCACTTACCCTCAGATTGGCCTTCTTTACAGTTTCGGGGCAGTATTATGCTTTTATCTAGGCAATACTATCCTATGGACTAAAAAACTTGATTATGAACAGTTTCTATATTATTTGCATAACCAGCTGCACAACTTACCTCATCGAGCACTCCGTGTTTTTAAACCAACATTTAAGCATGCCAGTGTGATGTCCCGATTAATGGAGATTGATTCCAACTTCTCAATTTATATTGGCGGGACATCTGGAGATCGAGGGCTGTCTGATGCTGCTCGACTGTTTCTTCGGACAGCAATTGCGAGTTTTTTACAATTTCTTAAAAGCTGGATCATCGATCGCCAAAAGACAATTCCTTTATGGATAGTATATCCGCTTGAAGGTCAACAGCCGGAATCCATCAATGAATTTCTACATAAAATTTTGGGTCTGCTCAAACAAGGCCCCAAAAGTATTCCGAAGGAGGTCAGCATTCAAAATGATGGACATTTGGATTTAACAGAAAATAATTATGTTTACAATAGTAAGAGCACTGCTAGTAATTTCTTCCATGCATCCTTAGCTTACTGGAGAAGTAGGAAATCTTGGAAAACTCAAGACCATAATGATTTCTCAAGAAGGGATGGAACACTTACAGAACCCGTGTGTAAGTTCTCAAGCAATCATCAGTCAGATGAAAAGTACTACAATGTGACATGTGGAAAGTCACCAAAGCCACAAGAACGCAAAGACTTCTCGCAATACAGACTCAGCAATAACAGACGAACAATGAGTAATCATCGTAAGAAAGGGAAGTTCCACAAGTGGAATCCTTGCAAAGTGTTGATGGAGAGTCAAAGGGGAACTGTTCTAAAAGAAGGTGACTACTTTCAAAACAATACTCCACCAACAGATGATGTATCAAGTCCTCACCGACTCATTCTACCATTTTTTAAATTGGGAAATCACAACCATGCACATGATCAGGATGCCCAAGAATTGATAAGTCAAAATATTAAACAGTACCTACATCAGCTAAGGTCTATGTTGGACACTACTATATATTGTAGATTCACAGGGATTGTCTCATCCATGCATTACAAATTGGACGAAGTTCTTCTAGAATACAATAGTTTCGATTCAGCTATCACATTAGCTGAAGGTGAGGGGTCAGGGGCTCTATTACTTTTGCAGAAATATAGTACAAGGTTATTATTTTTGAACACATTGGCAACAGAACACAGTATAGAGTCAGAAGTTGTATCAGGTTTTTCTACTCCGAGAATGTTGTTACCAATAATGCAAAAGGTTCATGAAGGACAAGTCTCTGTTATCTTAAATAATTCAGCAAGTCAGATAACTGACATAACTAGCTCAATGTGGTTAAGTAATCAAAAATATAATCTACCTTGTCAAGTTGAAATCATTACGATGGATGCTGAAACAACAGAGAACTTAAACAGGTCCCAACTCTACCGAGCAGTATATAACTTAATACTTGATCACATTGATCCGCAGTATCTCAAGGTGGTGGTACTCAAAGTATTTCTGAGTGATATAGAAGGAATATTATGGATTAATGATTACTTGGCTCCATTATTCGGGGCTGGTTACTTGATTAAACCGATTACATCAAGTGCCCGGTCAAGTGAATGGTACCTTTGCTTATCAAATTTGATATCTACTAACAGGAGATCGGCCCATCAGACTCACAAGGCATGTCTTGGTGTTATCAGAGATGCTTTGCAAGCACAAGTCCAGCGAGGCGTGTACTGGTTGAGTCACATCGCACAGTATGCTACAAGGAATCTCCATTGTGAATACATATGCCTTGGTTTCCCACCTCTAGAAAAGGTCCTATATCACAGGTATAATCTAGTTGATACTGGACTCGGTCCATTGTCGTCAGTTATTAGACATTTAACTAACCTCCAGGCAGAGATACGAGACTTAGTATTGGATTATACCCTGATGAGAGAGAGTCGCACTCAAACGTACCATTTTATTAAGACTGCAAAAGGCAGAATCACAAAGTTAGTCAATGACTTTCTGAAGTTTTCTTTAATTGTCCAGGCGCTCAGAAATAATTCTTCTTGGTATACTGAGCTTAAAAAATTACCTGAGGTGATTAATGTGTGTAATCGATTTTATCATACTCACAGTTGCGAATGTCAGGAAAAATTCTTTGTCCAGACGCTTTATTTACAACGCCTACGCGATGCAGAAATCAAGCTAATTGAACGCCTTACCGGGTTAATGCGATTTTATCCAGAAGGGTTAATATATTCCAATCACACATAGGTACTAAATCATCATAGTATGAGGAATAAAATAATGATAATTCCTGACGACAGTTCTAGTTCCGATTCTAAGTATATCGGAAGAGAGTATGCCAATCTTAATCATCAAAGGTAACAAGCTATTAGTTATTACTTATTGATAAGAATAAACTTTATCATAGCGTAACACATCATAACTTTATAACGATTTTGCATTTCTAATCCTAGTATTTATTAGAATGTACTATCAGAGAAATGACCCCAGTCCCTACCTTTAAATAATGATTGTGTGTATTAAATTATTAGTTTATTAGGTTTATGAGTTGGTTACACAGTGAGTATTAGTAATTGAGGATTATGTAGATAGGCAATCTAATACTGAATCACCCATCTGATGTCACCATATCCAAATATTGTGCTAGTCACATTTAAACATGCTATCTTCAGTTAAGTAACATGGACTGAAAATGCTAAGAAGAGATTGGAGTAAAAGTATAAAGTAAATTTAATCAAACTTCAAAGTGATTAAATGATAATGATCTTGGGTACTCGATATGACCTCAAGTCAAAAATAATGTCAATATAATTGTTTAGTAATATGAGTTATAATGTGAATTTTGATAACTAACTAACTTTAGTAGTTAAGATCAAATGCAAACATTCTAAGAA >Reston_Ebola_virus_strain_Pennsylvania_complete_genome CGGACACACAAAAAGAAAAAAGGTTTTTTAAGACTTTTTGTGTGCGAGTAACTATGAGGAAGATTAACAGTTTTCCTCAGTTTAAGATATACACTGAAATTGAGATTGAGATTCTCCTCTTTGCTATTCTGTAACTTTCCCTGGTTGTGACAATTGAATCAGTTTTATCTATTACCAATTACCATCAACATGGTATGTCTAGTGATCTTGGGACTCTTCTTCATCTGGTTTTTCCTAGAGCTCTGAATCCATTTTGCGAGAAGTTCATCCAAACGACCCAGTGTCTGAAAATACAAAAGGTTCCCCTTTCCGTCAAGTTTAAGGGGTTGTTTTGATTGTGTGTAGATTTTATAATCCTAGAGTGCCAAGGAGTTGCGTGTCATCATTGATTGGGAAGATCAAGGAAACAATTTGTTCCAATAATATCGTACATCTTGACTAAGTCGAACAAGGGGAAGTCGATATGGATCGTGGGACCAGAAGAATCTGGGTGTCGCAAAATCAAGGTGATACTGATTTAGATTATCATAAAATTTTGACAGCTGGCCTTACTGTTCAACAGGGAATTGTCAGGCAGAAAATAATTTCTGTATATCTTGTTGATAACTTGGAGGCTATGTGTCAATTGGTAATACAAGCCTTTGAGGCCGGAATTGATTTCCAAGAAAATGCCGACAGCTTCCTTCTGATGCTTTGCCTACATCATGCTTACCAAGGTGACTATAAATTGTTCTTGGAGAGCAATGCTGTACAGTATTTGGAAGGTCATGGATTCAAATTTGAGCTCCGGAAGAAGGACGGTGTCAATCGGCTCGAGGAATTGCTTCCTGCTGCAACGAGTGGAAAAAACATCAGGCGTACGTTGGCCGCACTGCCTGAAGAGGAGACTACAGAAGCAAATGCAGGGCAATTTCTCTCATTTGCGAGTTTGTTTCTTCCCAAACTGGTTGTGGGAGAGAAGGCTTGCTTGGAAAAAGTCCAGCGACAAATTCAGGTTCATGCAGAACAGGGTTTAATTCAATATCCCACTGCATGGCAATCAGTTGGACACATGATGGTAATCTTCAGATTGATGAGGACTAATTTCTTGATTAAATATTTACTGATCCACCAGGGTATGCATATGGTAGCTGGCCACGATGCCAATGATGCTGTCATTGCTAATTCAGTTGCTCAGGCTCGCTTTTCAGGACTCCTAATTGTCAAAACCGTTCTTGATCATATTCTGCAAAAAACCGACCAAGGAGTAAGACTTCACCCTTTGGCCCGAACAGCCAAAGTGCGTAATGAGGTTAATGCATTTAAGGCCGCCCTAAGCTCACTTGCTAAGCATGGGGAATATGCCCCTTTTGCTCGCCTTCTCAATCTCTCGGGAGTTAACAACCTAGAACATGGTCTCTACCCACAGTTATCAGCAATTGCTCTTGGAGTTGCCACAGCACATGGTAGCACCCTTGCAGGAGTTAATGTTGGTGAGCAGTATCAGCAGCTTAGAGAGGCTGCCACTGAAGCTGAGAAGCAACTCCAACAATATGCTGAGTCCAGAGAACTCGACAGCCTAGGCCTGGACGATCAGGAAAGAAGAATACTAATGAACTTCCATCAGAAGAAAAACGAAATTAGTTTCCAGCAGACCAATGCAATGGTAACCCTTAGGAAAGAGCGACTGGCTAAATTAACAGAAGCTATAACGCTGGCCTCAAGACCTAACCTCGGGTCTAGACAAGACGACGGCAATGAAATACCGTTCCCTGGGCCTATAAGCAACAACCCAGACCAAGATCATCTGGAGGATGATCCTAGAGACTCCAGAGACACCATCATTCCTAATGGTGCAATTGACCCCGAGGATGGTGATTTTGAAAATTACAATGGCTATCATGATGATGAAGTTGGGACGGCAGGTGACTTGGTCCTGTTCGATCTTGACGATCATGAGGATGACAATAAAGCTTTTGAGCCACAGGACAGCTCGCCACAATCCCAAAGGGAAATAGAGAGAGAAAGATTAATTCATCCACCCCCAGGCAACAACAAGGACGACAATCGAGCCTCAGACAACAATCAACAATCAGCAGATTCTGAGGAACAAGGAGGTCAATACAACTGGCACCGAGGCCCAGAACGTACGACCGCCAATCGAAGACTCTCACCAGTGCACGAAGAGGACACCCTTATGGATCAAGGTGATGATGATCCCTCAAGCTTACCTCCGCTGGAATCTGATGATGACGATGCATCAAGTAGCCAACAAGATCCCGATTATACAGCTGTTGCCCCTCCTGCTCCTGTATACCGCAGTGCAGAAGCCCACGAGCCTCCCCACAAATCCTCGAACGAGCCAGCTGAAACATCACAATTGAATGAAGACCCTGATATCGGTCAATCAAAGTCTATGCAAAAATTAGAAGAGACATATCACCATCTGCTGAGAACTCAAGGTCCATTTGAAGCCATCAATTATTATCACATGATGAAGGATGAGCCGGTAATATTTAGCACTGATGATGGGAAGGAATACACCTACCCGGATTCACTTGAGGAAGCCTATCCTCCATGGCTCACCGAGAAAGAACGACTGGACAAAGAGAATCGCTACATTTACATAAATAATCAACAGTTCTTCTGGCCTGTCATGAGTCCCAGAGACAAATTTCTTGCAATCTTGCAGCACCATCAGTAACCACAGCACAAAGCGCGGTCCACTTCGTAAAGCTAAATACACTTAAGACTTGACCGATTCATCTACAAAAACTAATCCATTATAACTTATTAGTGCTACTTTTCTATAAGTGATTCTTAATCTAAGGCCATTAAGAGTTTAAGTAATATACATATACACTTACACCGGTCTATCCAAGATGTGGCTCAATGTTCTTGATTTGAACATAGTCATAAGGGGATAAATAATACTTTATATTTCTGATTGTGGATTGACCCATTCTGCTTAAAATGCTTCGCCCATTGAAAATGTGATCTAATAGATAGCCCTGACTAGACAAATTAAGAAAAACATTTGATGAAGATTAAAACCTTCATCGCCAGTAAATGATTATATTGTCTGTAGGCAGGTGTTTACTCCACCTTAAATTTGGAAATATCCTACCTTAGGACCATTGTCAAGAGGTGCATAGGCATTACCACCCTTGAGAACATGTACAATAATAAATTGAAGGTATGTTCAGGCCCAGAAACGACTGGATGGATTTCTGAGCAACTTATGACAGGTAAGATTCCAGTAACTGATATATTCATTGATATTGATAACAAGCCAGATCAAATGGAAGTCCGACTCAAACCATCATCAAGGAGCTCAACAAGAACTTGTACAAGTAGCAGTCAGACGGAGGTCAACTATGTACCTCTCCTTAAAAAGGTTGAGGATACATTAACTATGCTAGTGAATGCCACCAGTCGTCAGAATGCTGCAATCGAGGCCCTTGAAAACCGCCTCAGCACACTTGAGAGTAGCTTAAAGCCAATCCAAGACATGGGTAAAGTGATTTCATCATTGAATCGCAGTTGTGCCGAAATGGTTGCAAAATATGATCTTCTAGTTATGACAACTGGACGGGCTACTTCAACTGCAGCTGCAGTAGATGCGTATTGGAAAGAGCACAAACAGCCACCACCAGGGCCAGCGTTGTATGAAGAGAATGCGCTTAAAGGAAAAATCGATGATCCAAACAGCTATGTACCAGATGCTGTGCAAGAGGCTTACAAGAACCTTGACAGTACATCGACCCTGACCGAGGAAAATTTTGGGAAACCTTATATATCTGCTAAAGACCTGAAGGAGATCATGTATGATCATCTACCTGGTTTTGGGACTGCCTTTCACCAACTTGTTCAAGTGATTTGTAAAATAGGAAAGGATAACAACCTTTTGGACACAATCCATGCTGAGTTCCAGGCAAGTCTAGCAGATGGTGACTCTCCCCAATGTGCACTCATACAGATAACCAAAAGGGTCCCAATCTTTCAGGATGTGCCGCCCCCGATAATCCATATTAGATCCCGTGGTGACATCCCACGAGCATGCCAAAAGAGTCTCCGACCAGCACCACCATCACCCAAAATTGATCGTGGTTGGGTTTGTTTGTTTAAGATGCAAGATGGTAAAACGCTTGGACTTAAGATCTAAGAATCAAGATTTATTTAACAAGGCAAGCCACAACCTTAGATGGAACCTCAGCCAGACTATTGAACTATTGACGCTGTTGATGATAATATATAATTAATGGTCTTATTTGAATATGACAACATCTTGCTTCTTGTTCTGCCTTGTAGCTCTTTGAATTGGAAGATCATTCCAAACTTACAAACATGCACAAGATGTTATGGTTTAGCAAAGAATTGATAGGAGTACTGGTATATAATGTAAATATAACAAGTGATGAAGATTAAGAAAAACCAGTCGGTATTTTCCAGACTTGGCATTTCTTATCTTCATCTTCTAAAGTGAGATATTTTATCATCAAAAAATGAGGCGCGGAGTGTTACCAACGGCTCCTCCAGCATATAATGATATTGCATACCCTATGAGCATACTCCCAACCCGACCAAGTGTCATAGTCAATGAGACCAAATCAGATGTACTGGCAGTGCCAGGGGCAGATGTTCCATCAAACTCCATGAGACCAGTGGCTGATGATAACATTGATCACTCAAGCCATACTCCAAGCGGAGTAGCTTCTGCCTTTATATTGGAAGCTACAGTGAATGTAATTTCGGGAACAAAAGTCCTGATGAAGCAAATACCTATTTGGCTTCCACTGGGTGTAGCTGATCAGAAGATATACAGCTTTGATTCAACAACAGCCGCAATTATGTTGGCTTCCTACACAGTGACACACTTCGGGAAGATATCTAACCCGCTGGTACGTGTCAACAGGCTAGGCCCAGGAATACCCGATCATCCGCTACGACTCCTAAGGTTGGGCAATCAGGCATTCCTTCAAGAGTTTGTTCTTCCACCAGTCCAGCTTCCCCAGTATTTCACATTTGATCTAACAGCTCTAAAGCTCATCACTCAACCATTGCCAGCTGCAACCTGGACAGACGAAACTCCAGCAGGAGCAGTCAATGCTCTTCGTCCTGGGCTCTCACTCCATCCCAAGCTTCGTCCAATTCTCCTGCCGGGGAAGACAGGAAAGAAAGGACATGCTTCAGACTTAACATCACCTGACAAGATTCAAACAATCATGAATGCAATACCGGACCTCAAAATTGTCCCGATTGATCCAACCAAGAACATAGTTGGAATTGAGGTTCCAGAATTACTAGTTCAAAGGCTGACCGGCAAAAAACCACAACCCAAAAATGGCCAACCAATTATTCCAGTTCTTCTTCCGAAATATGTTGGACTTGATCCTATATCGCCAGGGGACTTAACTATGGTTATCACCCAGGATTGTGATTCATGCCACTCTCCAGCCAGCCATCCGTATCACATGGACAAGCAGAATAGTTACCAATAATTTAAATTCCATTCGAGCTATTATTCTGCTAGTAATTCCGACGGGATCAATAGACTAAAAATCTGATTGTATAGAATTATAAAAGAATCAAGCAGAGGCAACAGACTCACAGCTTACGCCTAGATAACTAATATTAAGGAGTTTTTTAATCTAATTTTCCAGTCTTGAGTAATAATCATTTCTTTTGTAATTAATTATGCATTTGTTAACTTATCGGTGCGAGATTTCCTTGAGAACCCGGCGGAGCTTCTACTATCTGCAGTAACCAGAAGAGAAGTTCAACCCAGTCAAAACTAAACCAAGCAATATTCTGAATGCTCTATAGTCTATTCTAATCAGAGGTATAACAATGGCTAAGATTTCAATGACTCGTTAACAATCGCTAGTAATTTTAATCTCCAGATTAAGAAAAAGATATACGATGAAGATTAAGGCGACAACGAGCCGAAACTTCATCTCTTTTAAAGATCTAACATTATCTGTTCCAAAGTCATACAAGGACACATTCAAATCAGGGATTGTAAGCTGCTATTTCTTACCTCCCCAAATTACCTATACAACATGGGGTCAGGATATCAACTTCTCCAATTGCCTCGGGAACGTTTTCGTAAAACTTCGTTCTTAGTATGGGTAATCATCCTCTTCCAGCGAGCAATCTCCATGCCGCTTGGTATAGTGACAAATAGCACTCTCAAAGCAACAGAAATTGATCAATTGGTTTGTCGGGACAAACTGTCATCAACCAGTCAGCTCAAGTCTGTGGGGCTGAATCTGGAAGGAAATGGAATTGCAACCGATGTCCCATCAGCAACAAAACGCTGGGGATTTCGTTCAGGTGTGCCTCCCAAGGTGGTCAGCTATGAAGCCGGAGAATGGGCAGAAAATTGCTACAATCTGGAGATCAAAAAGTCAGACGGAAGTGAATGCCTCCCTCTCCCTCCCGACGGTGTACGAGGATTCCCTAGATGTCGCTATGTCCACAAAGTTCAAGGAACAGGTCCTTGTCCTGGTGACTTAGCTTTCCATAAAAATGGGGCTTTTTTCTTGTATGATAGATTGGCCTCAACTGTCATCTACCGAGGGACAACTTTTGCTGAAGGTGTCGTAGCTTTTTTAATTCTGTCAGAGCCCAAGAAGCATTTTTGGAAGGCTACACCAGCTCATGAACCGGTGAACACAACAGATGATTCCACAAGCTACTACATGACCCTGACACTCAGCTACGAGATGTCAAATTTTGGGGGCAATGAAAGCAACACCCTTTTTAAGGTAGACAACCACACATATGTGCAACTAGATCGTCCACACACTCCGCAGTTCCTTGTTCAGCTCAATGAAACACTTCGAAGAAATAATCGCCTTAGCAACAGTACAGGGAGATTGACTTGGACATTGGATCCTAAAATTGAACCAGATGTTGGTGAGTGGGCCTTCTGGGAAACTAAAAAAACTTTTCCCAACAACTTCATGGAGAAAACTTGCATTTCCAAATTCCATCAACCCACACCAACAACTCCTCAGATCAGAGCCCGGCGGGAACTGTCCAAGGAAAAATTAGCTACCACCCACCCGCCAACAACTCCGAGCTGGTTCCAACGGATTCCCCTCCAGTGGTTTCAGTGCTCACTGCAGGACGGACAGAGGAAATGTCGACCCAAGGTCTAACCAACGGAGAGACAATCACAGGTTTCACCGCGAACCCAATGACAACCACCATTGCCCCAAGTCCAACCATGACAAGCGAGGTTGATAACAATGTACCAAGTGAACAGCCGAACAACACAGCATCCATTGAAGACTCCCCCCCATCGGCAAGCAACGAGACAATTTACCACTCCGAGATGGATCCGATCCAAGGCTCGAACAACTCCGCCCAGAGCCCACAGACCAAGACCACGCCAGCACCCACAACATCCCCGATGACCCAGGACCCGCAAGAGACGGCCAACAGCAGCAAACCAGGAACCAGCCCAGGAAGCGCAGCCGGACCAAGTCAGCCCGGACTCACTATAAATACAGTAAGTAAGGTAGCTGATTCACTGAGTCCCACCAGGAAACAAAAGCGATCGGTTCGACAAAACACCGCTAATAAATGTAACCCAGATCTTTACTATTGGACAGCTGTTGATGAGGGGGCAGCAGTAGGATTGGCATGGATTCCATATTTCGGACCTGCAGCAGAAGGCATCTACATTGAGGGTGTAATGCATAATCAGAATGGGCTTATTTGCGGGCTACGTCAGCTAGCCAATGAAACTACCCAGGCTCTTCAATTATTTCTGCGGGCCACAACAGAACTGAGGACTTACTCACTTCTTAACAGAAAAGCTATTGATTTTCTTCTTCAACGATGGGGAGGTACCTGTCGAATCCTAGGACCATCTTGTTGCATTGAGCCACATGATTGGACAAAAAATATTACTGATGAAATTAACCAAATTAAACATGACTTTATTGACAATCCCCTACCAGACCACGGAGATGATCTTAATCTATGGACAGGTTGGAGACAATGGATCCCGGCTGGAATTGGGATTATTGGAGTTATAATTGCTATAATAGCCCTACTTTGTATATGTAAGATTTTGTGTTGATTTATTCTGAGATCTGAGAGAGAAAAATCTCAGGGTTACTCTAAGGAGAAATATTATTTTTAAAATTTACTTGAATGCTGACCACTTATCTTAAATGAGCAATTAATAATATGTTTTTCTGCTTCTTTGCTTGATTTACAATATGATATTTCTCTTAATAATGATTAATATATTAAGAAAAACTTATGACGAAGATTAAAGGAGAGGATCGTTAACGGGAAAACCTCCCATCTCGTTCGTCGAAGCCACGTTGGTGGTGCTTGCAGCTGAGAACAACTCCAGAGATTGTAGGTAGAAAGGACCAACATTTATAGGTAGGGGTCAGAAAGCAACAATAACCATAAAAGGAGAGCCTGACATTGCTATTTAATATCCTAGAACCTGATTTCTAGGTTCTAGCTTTAAAATCCGGATGATGGAGCATTCAAGAGAACGGGGTAGATCTAGCAACATGCGACATAATAGCCGGGAACCATACGAAAATCCATCAAGGTCTCGCTCATTATCTCGGGACCCTAATCAGGTTGATCGTAGACAGCCTCGAAGTGCATCCCAAATTCGTGTTCCGAATCTGTTCCATCGGAAAAAGACTGATGCACTCATAGTTCCTCCGGCTCCTAAAGATATATGCCCAACACTCAAAAAAGGATTCCTCTGCGATAGCAAATTTTGCAAAAAAGATCACCAATTGGATAGCTTAAATGATCATGAATTACTACTGCTAATTGCAAGAAGAACATGTGGAATTATCGAGAGCAATTCGCAGATTACATCCCCAAAAGATATGCGGTTAGCGAATCCAACAGCTGAAGACTTCTCACAAGGTAATAGTCCTAAATTAACACTTGCAGTCCTTCTTCAAATTGCTGAACATTGGGCAACCAGAGACCTAAGGCAAATTGAGGACTCTAAACTTAGAGCTCTTTTAACCCTTTGTGCCGTATTAACAAGGAAATTTTCTAAATCCCAACTGGGTCTTCTATGTGAGACCCACCTACGGCATGAGGGCCTCGGACAGGACCAAGCTGATTCTGTATTAGAGGTCTACCAAAGACTCCACAGTGATAAAGGAGGGAATTTTGAGGCTGCCCTGTGGCAACAATGGGACCGACAGTCATTAATAATGTTCATCTCTGCTTTTCTCAACATTGCTCTCCAGATACCTTGTGAAAGTTCTAGTGTCGTAGTCTCAGGTCTTGCCACATTGTACCCAGCACAAGACAATTCTACACCATCCGAGGCAACTAATGATACCACCTGGTCAAGTACAGTTGAATAGAAAACCACTGGAGCTATTTTTCCACGATTGCTCTCAGTCAATAAATTAATATAGATATAATACGACTTCGGTGTGCAATTGTCAAGAGTTCCATTTAGTAATAATGATTCTTAAAACAATCTACTATCGCAATTATCGATGGATCTACCCTATTTGACGGTACATGACTTGAATGTAATAAGGTAAGTTGGTATCTGAGGTATTTTGTCTAGAGTATACTCAAAATCGTATGTCTAGCAAATTATCAATAGCAAAGTTAAATTCTCCTAACCTCATATTTTGATCAAGTAATCATGATTTTATGATAATTCTTTTCAGATTATCGGTTTAATCTTTATTAAGAAAAAATCATGATTGTAGACAATTTACTGGTAGTCCTTGGGTATCCAAGTTTATGAATAGAGCTAGAGAGAATTTGCTACTTCCGAGGTATAACTTTATTATTTGCTACTTCGAATGCCTAAAACCAGTAATGCAGGATGAAGATTAATTGCGGAGGAATCAGGAATTCAACTTTAGTTCCTTAAGGCCTCGTCCGAATCTTCATCAGTTCGTAAGTTCTTTTATAGAAGTCATTAGCTTCTAAGGTGATTATATTTTAGTATTAAATTTTGCTAATTGCTTGCTATAAAGTTGAAATGTCTAATGCTTAAATGAACACTTTTTTGAAGCTGACATACGAATACATCATATCATATGAAAACATCGCAATTAGAGCGTCCTTGAAGTCTGGCATTGACAGTCACCAGGCTGTTCTCAGTAGTCTGTCCTTGGAAGCTCTTGGGGAGACAAAAAGAGGTCCCAGAGAGTCCCAACAGGTTGGCATAAGGTCATTAACACCAGCATAGTCGGCTCGACCAAGACTGTAAGCGAGTCGATTTCAACTAAAAAGATTATTTCTTGTTGTTTAAACAAATTCCTTTTGTGTGAGACATCCTCAAGGCACAAGATGGCTAAAGCCACAGGCCGATACAATCTCGTGCCCCCAAAGAAAGATATGGAAAAGGGAGTGATTTTTAGTGATCTTTGTAATTTCTTGATTACTCAAACCCTGCAAGGTTGGAAGGTTTATTGGGCAGGAATTGAGTTTGATGTAAGTCAAAAAGGCATGGCTCTTCTGACAAGACTCAAAACAAATGACTTTGCTCCTGCCTGGGCGATGACAAGAAATCTTTTCCCACATCTGTTCCAGAACCCAAATTCGGTTATTCAATCTCCCATCTGGGCTTTGAGGGTAATTTTGGCAGCCGGATTGCAGGATCAGTTGTTAGACCATTCATTGGTTGAGCCATTGACAGGGGCTCTCGGTCTAATTTCTGATTGGCTCCTAACTACAACGTCAACACATTTCAATCTTCGTACTAGAAGCGTAAAGGACCAGCTTAGTCTTCGTATGTTATCTTTGATCAGGTCAAACATCTTGCAGTTCATCAACAAGCTTGACGCCCTGCATGTTGTCAATTACAATGGTTTACTCAGTAGTATTGAGATCGGGACTTCTACACACACAATCATTATAACTCGTACAAATATGGGTTTTCTCGTGGAAGTTCAAGAGCCTGACAAATCAGCTATGAATTCTAAGCGCCCAGGACCAGTCAAGTTCTCATTACTTCATGAGTCTGCCTTCAAACCTTTCACTCGTGTTCCACAATCTGGGATGCAATCATTAATAATGGAGTTCAACAGTTTGTTGGCAATTTAACAAGGTAATCTTAAAATAAGTACATGAATGAGAATTAGTTGTGGGTCTTATCTAGCATTGTTGAGTTAACTATCTAATCTATTTTCGCTAATTGCATTGAGCACTGCTAATAGGTTTGTATCACGTTAAAGATTTAGAGTGTATGAATTGTGCAGATTTAAACTTGGGTTTTGCCTTATGCTTCATAGGTGGTCTTTTTGAAATGGAGATTATCAGCATTTCTTAAATGGGAGGAGTTAGCAATCAGAAATTGGAGATAAATGGACATCGGGATAGAACAATGCCTAACTATTGGGCGGCTTCCATTTTTACATGTGTATATAACCAATCTTTTCCTATCTTTGCTTATATTGGTGTAACTTTATTTTAATAACATGTCAATGCTATACTGTTAAGAGAAGGTCTGAGGAAGATTAAGAAAAAGGCCTCGTGTTCACTTGGTTGCCGTCAAGTATCCTGTGGTTTTTTTCTACCTAACTTCCTCATGCCATATGGCTACCCAGCATACCCAGTACCCGGATGCACGTTTATCCTCACCTATAGTCCTGGATCAATGTGATTTGGTAACTCGAGCATGTGGGTTATATTCATCTTATTCTCTAAATCCTCAACTAAGGCAATGTAAATTACCAAAACATATATATCGACTTAAGTTCGACACAATAGTATCCAAATTCCTAAGTGATACACCTGTAGCAACACTGCCGATAGACTATTTAGTACCAATTCTCCTGCGTTCCCTAACGGGGCACGGTGATAGGCCATTGACCCCGACTTGCAATCAATTCCTTGATGAAATTATTAATTACACTCTTCATGATGCAGCCTTTCTTGATTACTATCTCAAGGCAACAGGTGCACAGGACCATTTGACAAACATTGCAACTAGAGAGAAGCTTAAAAACGAAATTCTAAACAATGATTATGTCCATCAATTGTTCTTCTGGCATGACCTTTCTATTTTGGCTCGACGTGGGCGTCTGAATCGCGGGAACAACCGTTCAACCTGGTTTGTTCATGATGAATTCATTGATATTTTAGGATATGGCGATTATATTTTTTGGAAAATACCTTTATCATTATTACCAGTTACTATAGACGGGGTCCCACACGCAGCAACTGACTGGTATCAACCGACTCTTTTTAAAGAATCCATCCTAGGGCATAGCCAAATCCTATCTGTGTCAACAGCTGAAATACTAATTATGTGTAAAGATATTATCACCTGTAGGTTTAATACATCACTGATTGCATCCATTGCAAAATTAGAGGATGTAGATGTGTCTGATTATCCTGACCCGAGTGATATTCTTAAGATATACAATGCTGGAGACTATGTAATATCTATTCTTGGCTCAGAGGGTTATAAGATAATAAAGTACCTTGAACCACTTTGTTTGGCCAAAATCCAACTTTGCTCTAAATTCACAGAAAGAAAAGGTCGTTTCCTCACACAGATGCATTTATCAGTAATAAATGATCTTCGGGAGTTGATTTCTAACCGCAGGTTAAAGGACTATCAGCAAGAGAAGATTAGAGATTTTCACAAAATATTATTACAATTGCAATTATCTCCTCAACAGTTTTGTGAATTATTCTCTGTTCAAAAACATTGGGGGCATCCAATTTTACATAGTGAGAAAGCTATACAAAAAGTAAAACGGCATGCAACCATCCTTAAGGCTCTCAGACCTAATGTCATCTTTGAGACATATTGTGTATTCAAGTACAATATTGCCAAGCACTATTTCGACAGCCAAGGAACTTGGTACAGTGTAATCTCAGACAGGAATTTAACTCCAGGACTCAACTCCTTCATAAAACGTAATCACTTTCCTTCACTACCCATGATTAAGGATCTTCTATGGGAATTCTATCATCTTAATCACCCTCCGTTATTCTCTACAAAGGTGATTAGTGACTTAAGTATTTTCATCAAAGATAGGGCCACAGCTGTTGAACAGACATGTTGGGATGCAGTCTTTGAACCCAATGTGCTAGGTTACAATCCTCCAAACAAATTCTCCACTAAAAGGGTGCCGGAACAATTTCTAGAACAAGAGGATTTTTCAATCGAAAGTGTCCTGAATTATGCACAGGAATTACATTATTTATTACCACAGAATAGGAATTTTTCCTTTTCTCTCAAAGAAAAGGAATTAAATATTGGACGAACATTTGGGAAGCTACCATATCTCACACGGAATGTCCAAACTTTATGTGAGGCTCTGTTAGCAGATGGACTGGCCAAGGCCTTCCCCAGTAACATGATGGTAGTAACTGAACGTGAACAAAAAGAGAGCCTTCTTCATCAGGCATCATGGCACCACACCAGTGATGATTTTGGAGAGAATGCTACCGTTCGAGGGAGTAGTTTTGTAACTGATTTAGAGAAGTACAATCTTGCATTTCGCTATGAGTTCACTGCACCATTTATTGAGTACTGCAACCATTGCTATGGTGTGCGTAATGTCTTTAATTGGATGCATTATTTAATCCCGCAGTGTTACATGCATGTAAGTGATTATTATAATCCGCCTCACAATGTTAATCTTAGCAATCGAGAATATCCTCCTGAAGGCCCGAGTTCGTACCGAGGGCACTTAGGAGGCATAGAGGGATTACAACAAAAACTGTGGACGAGTATATCCTGTGCACAAATCTCCTTAGTGGAAATTAAAACTGGTTTTAAGTTACGATCAGCGGTCATGGGAGACAATCAGTGTATAACCGTATTGTCTGTTTTTCCACTTAAAACAGACCCTGAAGAGCAGGAGCAAAGCGCCGAAGACAATGCTGCAAGAGTAGCAGCAAGTCTTGCAAAAGTAACCAGTGCATGTGGGATCTTTCTTAAACCAGATGAGACATTTGTACACTCAGGTTTCATTTATTTCGGAAAAAAACAATATCTCAATGGTGTACAATTACCGCAATCACTCAAAACAGCAGCAAGAATGGCACCACTCTCTGATGCTATATTCGATGATCTACAAGGAACACTTGCCAGTATTGGAACTGCCTTCGAACGTGCTATATCGGAAACGCGACATATCCTCCCATGTCGTATTGTAGCAGCTTTCCATACGTATTTCGCCGTTCGGATTTTACAATATCACCATCTTGGATTTAATAAAGGCATCGATTTAGGACAGTTGTCACTTAGTAAACCATTAGACTATGGGACTATTACTCTAACATTGGCGGTTCCACAAGTCCTTGGGGGATTGTCTTTTCTAAATCCAGAAAAGTGTTTTTATCGAAACTTCGGAGATCCTGTGACTTCTGGACTTTTCCAGCTACGGGTGTACCTAGAAATGGTTAACATGAAAGACCTATTTTGTCCATTAATATCGAAAAATCCAGGAAATTGTAGTGCCATTGATTTTGTCTTAAATCCATCCGGATTAAATGTTCCAGGATCACAAGACTTGACATCCTTTTTGCGACAAATCGTTAGGCGTAGTATTACCCTAACTGCTAGAAATAAGTTAATTAACACTCTCTTCCATGCCTCTGCTGATTTGGAAGATGAGATGGTTTGTAAGTGGCTCCTTTCATCAAACCCTGTCATGAGTCGCTTTGCAGCGGATATTTTTTCCAGGACACCGAGTGGTAAACGTCTCCAAATATTAGGTTATCTTGAAGGGACCAGGACTCTATTGGCCTCCAAAATCATAAACAACAACAGTGAGACACCTGTACTTGATAAGCTGAGGAAGATCACCCTACAAAGATGGAATCTGTGGTTCAGTTATTTGGACCATTGTGACCAATTACTAGCAGATGCTCTACAGAAAATTAGTTGCACGGTGGATTTGGCCCAGATTTTGCGTGAGTATACATGGTCACACATCTTAGAGGGTAGATCATTGATCGGAGCGACATTACCATGTATGGTGGAGCAATTCAAAGTTAAGTGGCTAGGACAATATGAACCTTGTCCAGAATGTCTCAACAAAAAAGGCTCAAATGCTTATGTCTCAGTTGCAGTCAAAGATCAAGTGGTCAGTGCTTGGCCTAATACTTCTCGAATAAGTTGGACAATAGGGAGTGGTGTCCCCTATATAGGGTCAAGAACCGAGGATAAAATCGGACAGCCTGCTATCAAGCCGCGATGCCCTTCATCTGCCCTCAAGGAGGCTATAGAATTAGCATCAAGGCTCACTTGGGTTACACAAGGAGGTTCTAATAGTGAACAATTAATCCGGCCTTTCTTGGAAGCGAGAGTCAACCTTAGTGTCAGTGAAGTCCTGCAAATGACACCATCACATTATTCAGGAAATATTGTCCATCGATATAACGACCAATACAGCCCGCACTCATTTATGGCGAATCGCATGAGCAATACTGCGACCCGTCTCATAGTGTCAACTAATACACTTGGAGAATTTTCAGGTGGAGGGCAGGCCGCCAGGGATAGCAATATAATTTTCCAGAATGTTATAAATTTAGCAGTTGCCCTTTATGATATTAGATTCCGGAATACAAACACCTCTGATATAAGGCATAATAGGGCTCATCTTCACCTGACAGAGTGCTGTACTAAAGAGGTCCCGGCCCAGTATTTGACATATACAAGTGCACTTAATCTGGATTTAAGCCGTTATCGTGATAATGAACTAATATATGACTCAAATCCACTGAAGGGAGGATTGAACTGCAATTTAACAATAGATAGTCCTTTAGTGAAGGGTCCTAGGCTTAACATGATTGAAGATGATCTTCTCCGCTTTCCACACCTTTCTGGATGGGAGTTAGCGAAAACGGTGGTACAATCCATCATCTCAGACAATAGCAACTCATCAACAGATCCAATCAGTAGCGGAGAAACACGCTCTTTCACAACTCATTTTCTCACTTACCCTCAGATTGGCCTTCTTTACAGTTTCGGAGCAGTATTATGCTTTTATCTAGGCAATACTATCCTATGGACTAAAAAACTTGATTACGAACAGTTTCTATATTATTTGCATAACCAGCTGCACAACTTACCTCATCGAGCACTCCGTGTTTTTAAACCAACATTTAAGCATGCCAGTGTGATGTCCCGATTAATGGAAATTGATTCTAACTTCTCAATTTATATTGGCGGGACATCTGGAGATCGAGGGCTGTCTGATGCTGCTCGACTGTTTCTTCGGACAGCAATCGCGAGTTTTTTACAATTTCTTAAAAGCTGGATCATCGATCGCCAAAAGACAATTCCTTTATGGATAGTATATCCGCTTGAAGGTCAACAGCCGGAATCCATCAATGAATTTCTACATAAAATTTTGGGTCTGCTCAAACAAGGCCCCAAAAGTATTCCAAAGGAGGTCAGCATCCAAAATGATGGACATTTGGATTTGGCAGAAAATAATTATGTTTACAATAGTAAGAGCACTGCTAGTAATTTCTTCCATGCATCCTTAGCTTACTGGAGAAGTAGGAAATCTCGGAAAACTCAAGACCATAATGATTTCTCAAGAGGGGATGGAACACTTACAGAACCCGTGCGTAAGTTTTCAAGCAATCATCAGTCAGATGAAAAGTACTACAATGTGACATGTGGAAAGTCACCGAAGCCGCAAGAACGCAAAGACTTCTCGCAATACAGACTCAGCAATAACGGGCAAACAATGAGTAATCATCGTAAGAAAGGGAAGTTCCACAAGTGGAATCCCTGCAAAATGTTAATGGAGAGTCAAAGGGGAACTGTTCTAACAGAGGGTGACTACTTTCAAAACAATACTCCACCAACAGATGATGTATCAAGTCCTCACCGACTCATTCTACCATTTTTTAAATTGGGAAATCACAACCATGCACATGATCAAGATGCCCAAGAATTGATGAATCAAAATATTAAACAGTACCTACATCAGCTAAGGTCTATGTTGGACACCACTATATATTGTAGATTCACAGGGATTGTCTCATCCATGCATTACAAATTGGACGAAGTTCTTCTAGAATACAATAGTTTCGATTCAGCTATCACATTAGCTGAAGGTGAGGGGTCAGGGGCTCTATTACTTTTGCAAAAATATAGTACAAGGTTATTATTTTTGAACACATTGGCAACAGAACACAGTATAGAATCAGAAGTTGTATCAGGTTTTTCTACTCCGAGAATGTTGTTACCAATAATGCAAAAGGTTCATGAAGGACAAGTCACTGTTATCTTAAATAATTCAGCAAGTCAGATAACTGACATAACTAGCTCAATGTGGTTAAGTAATCAAAAATATAATCTACCTTGTCAAGTTGAAATCATTATGATGGATGCTGAAACAACAGAGAACTTAAACAGGTCCCAACTCTACCGAGCAGTATATAACTTAATACTTGATCACATTGATCCGCAGTATCTCAAGGTGGTGGTACTCAAAGTATTTCTGAGTGATATAGAAGGAATATTATGGATTAATGATTACTTGGCTCCATTATTCGGGGCTGGTTACTTGATTAAACCGATTACATCAAGTGCCCGGTCAAGTGAATGGTACCTTTGCTTATCAAATTTGATATCTACTAACAGGAGATCGGCCCATCAGACTCACAAGGCATGTCTTGGTGTTATCAGAGATGCTTTGCAAGCACAAGTCCAGCGAGGCGTGTACTGGTTGAGTCACATCGCACAGTATGCTACAAAGAATCTCCATTGTGAATACATAGGCCTTGGTTTCCCATCTCTAGAAAAGGTCCTATATCACAGGTATAATCTAGTTGATACTGGACTCGGTCCATTGTCGTCAGTTATTAGACATTTAACTAACCTCCAGGCAGAGATACGAGACTTAGTATTAGATTATAACCTGATGAGGGAGAGTCGCACTCAAACGTACCATTTTATTAAGACTGCAAAAGGCAGAATCACAAAGTTAGTCAATGACTTTCTGAAGTTTTCTTTAATTGTCCAGGCACTCAAAAATAATTCTTCTTGGTATACTGAGCTTAAAAAATTACCTGAGGTTATTAATGTGTGTAATCGATTTTATCATACTCACAATTGCGAATGTCAGGAAAAATTCTTTGTCCAGACGCTTTATTTACAACGCCTACGCGATGCAGAAATCAAGCTAATTGAACGCCTTACCGGGTTAATGCGATTTTATCCAGAAGGGTTAATATATTCCAATCACACATAGGTACTAAATCATCATAGTATGAGGAATAAGATAATGATAATTCCTGACGACAGTTTTAGTTCCGATTCTAAGTATATCGGAAGAGAGTATGCCAATCTTAATTGTTAGAGGTAACAAGCTATTAGTTATTACTTATTGATAAGAATACACTTTATCATAGCGTAACACATCATAACTTTATAACGATTTTGCATTTCTAATCCTAGTATTTATTAGAATGTACTACCAGAGAAATGACCCCAGTTCCTATCTTTAAATAATGATTGTGTGTATTAAATTATTAGTTTATTAGGTTTATGAGTTGGTTACACAGTGAGTATTAGTAATTGAGGATTATGTAGATAGGTAATCTAACACTGAATCACCCATCTGATGTCACCATATCCAAATGTTGTGCTAGTCGCATTTAAACATGCTATCTTCAGTTAAGTAACATAGACTGAAAATGCTAAGAAGAGATTGGAGTAAAAGTATAAAATAAATTTAATTAAACTTCAAAGTGATTAAATGATAATGATCTTGGGAACTCGATATGACCTCAAGTCAAAAATAATGTCAATATAATTGTTTAGTAATATGAGTGATAATGTAAATTTTGATAACTAACTAGCTTTAGTAGTTAAGATCAAATGCAAACATTATAAGAATGTTAAGCGCACACAAAAACATTATAAAAAACCAATTTTTTCCTTTTTGTGTGTCC >Sudan_ebolavirus_isolate_EboSud-609_2012_complete_genome CGGACACACAAAAAGAAAGAAAAGTTTTTTAGACTTTTTGTGTGCGAATAACTATGAGGAAGATTAATCATTTTCCTCAAACTCAAACTAATATTAACATTGAGATTGATCTCATCATTTACCAATTGGAGACAATTTAACTAGTCAATCCCCCATTTGGGGGCATTCCTAAAGTGTTGCAAAGGTATGTGGGTCGTATTGTTTTGCCTTTTCCTAACCTGGCTCCTCCTACAATTCTAACCTGCTTGATAAGTGTGATTACCTGAGTAATAGACTAATTTCGTCCTGGTAATTAGCATTTTCTAGCAAAACCAATACTATCTCAAGTCCTAAGAGAAGGTGAGAAGAGGGTCCCGAGGTATCCCTCCAGTCCACAAAATCTAGCTAATTTTAGCTGAGTGGACTGATTACTCTCATCACACGCTAACTACTAAGGGTTTACCTGAGAGCCTACAACATGGATAAACGGGTGAGAGGTTCATGGGCCCTGGGAGGACAATCTGAAGTTGATCTTGACTACCACAAAATATTAACAGCCGGGCTTTCGGTCCAACAAGGGATTGTGCGACAAAGAGTCATCCCGGTATATGTTGTGAGTGATCTTGAGGGTATTTGTCAACATATCATTCAGGCCTTTGAAGCAGGCGTAGATTTCCAAGATAATGCTGACAGCTTCCTTTTACTTTTATGTTTACATCATGCTTACCAAGGAGATCATAGGCTCTTCCTCAAAAGTGATGCAGTTCAATACTTAGAGGGCCATGGTTTCAGGTTTGAGGTCCGAGAAAAGGAGAATGTGCACCGTCTGGATGAATTGTTGCCCAATGTCACCGGTGGAAAAAATCTTAGGAGAACATTGGCTGCAATGCCTGAAGAGGAGACAACAGAAGCTAATGCTGGTCAGTTTTTATCCTTTGCCAGTTTGTTTCTACCCAAACTTGTCGTTGGGGAGAAAGCGTGTCTGGAAAAAGTACAAAGGCAGATTCAGGTCCATGCAGAACAAGGGCTCATTCAATATCCAACTTCCTGGCAATCAGTTGGACACATGATGGTGATCTTCCGTTTGATGAGAACAAACTTTTTAATCAAGTTCCTACTAATACATCAGGGGATGCACATGGTCGCAGGCCATGATGCGAACGACACAGTAATATCTAATTCTGTTGCCCAAGCAAGGTTCTCTGGTCTTCTGATTGTAAAGACTGTTCTGGACCACATCCTACAAAAAACCGATCTTGGAGTACGACTTCATCCACTGGCCAGGACAGCAAAAGTCAAGAATGAGGTCAGTTCATTCAAGGCAGCTCTTGGCTCACTTGCCAAGCATGGAGAATATGCTCCATTTGCACGTCTCCTCAATCTTTCTGGAGTCAACAACTTGGAACATGGGCTTTATCCACAACTCTCAGCCATTGCTTTGGGTGTTGCAACTGCCCACGGGAGCACGCTGGCTGGTGTTAATGTAGGGGAGCAATATCAGCAACTGCGTGAGGCTGCTACTGAAGCTGAAAAGCAACTCCAACAATATGCTGAGACACGTGAGTTGGACAACCTTGGGCTTGATGAGCAGGAAAAGAAGATTCTCATGAGCTTCCACCAGAAGAAGAATGAGATCAGCTTCCAGCAAACTAACGCAATGGTAACCTTGAGGAAAGAGCGGCTGGCCAAACTGACCGAAGCCATCACGACTGCATCAAAGATCAAGGTTGGAGATCGTTATCCTGATGACAATGATATTCCATTTCCCGGGCCGATCTATGATGAAACCCACCCCAACCCTTCTGATGATAATCCTGATGATTCACGTGATACAACTATCCCAGGTGGTGTTGTTGACCCGTATGATGATGAGAGTAATAATTATCCTGACTACGAGGATTCGGCTGAAGGCACCACAGGAGATCTTGATCTCTTCAATTTGGACGACGACGATGACGACAGCCAACCAGGACCACCAGACAGGGGGCAGAGCAAGGAGAGAGCGGCTCGGACACATGGCCTCCAAGATCCGACCTTGGACGGAGCGAAAAAGGTGCCGGAGTTAACCCCAGGTTCCCACCAACCAGGCAACCTCCACATCACCAAGCCGGGTTCAAACACCAACCAACCACAAGGCAATATGTCATCTACTCTCCAGAGTATGACCCCTATACAGGAAGAATCAGAGCCCGATGATCAGAAAGATGATGATGACGAGAGTCTCACATCCCTTGACTCTGAAGGTGACGAAGATGTTGAGAGCGTATCAGGGGAGAACAACCCAACTGTAGCTCCACCAGCACCAGTCTACAAAGATACTGGAGTAGACACTAATCAGCAAAATGGACCAAGCAATGCTGTAGATGGTCAAGGTTCTGAAAGTGAAGCTCTCCCAATCAACCCCGAAAAGAGATCTGCACTGGAAGAAACATATTATCATCTCCTAAAAACACAGGGTCCATTTGAGGCAATCAATTATTATCACCTAATGAGTGATGAGCCCATTGCTTTTAGCACTGAAAGTGGCAAGGAATATCTCTTCCCAGATTCTCTTGAAGAAGCCTACCCGCCTTGGTTGAGTGAGAAGGAGGCCTTAGAGAAAGAAAATCGTTATCTGGTCATTGATGGCCAGCAATTCTTCTGGCCAGTAATGAGCCTACAGGACAAGTTCCTTGCTGTTCTTCAACATGACTGAGGACCCATGATTAGTAGATTTTGTTTATTCTGAGCTTGATTATAATTGTTTTGATAATTCAAGTATGAGCACCCAACCCGAAATATAAACCCTATTTTAGTTATGAGGAAATTAAATAAATAATCTGTAAGTTGTAGGACTATGAAGAGCTGCTTGTGTCAATTTATCACGGGTTAATACCCATACCGCAAGAATAATTATTTAGTAATTTTGATCAGCTTATGATATGTACCAATAGGAAAACATTATAGCATTAAAACATAAAGTATCCTTCGATGAGCTTAGGAGGATAATATCCTGATGAATTCTATAGAACTTAGGATTAAGAAAAAATTCATGATGAAGATTAAAACCTTCATCATCCTTTAAAAAGAGAGCTATTCTTTATCTGAATGCCCTTATTAATGTCTAAGAGCTATTATTTTGTACCCTCTTAGCCTAGACACTGCCCAACATATAAATCATGCAGCAGGATAGGACTTATAGACATCATGGACCCGAAGTGTCTGGCTGGTTTTCTGAGCAATTAATGACCGGCAAAATACCGCTAACAGAGGTGTTTGTTGATGTTGAAAACAAACCAAGTCCTGCCCCGATAACCATTATTAGTAAGAATCCCAAGACAACACGTAAAAGTGATAAGCAAGTCCAAACAGATGATGCCAGTAGCTTATTGACAGAAGAAGTCAAGGCTGCCATAAATTCGGTGATATCAGCTGTGCGTCGGCAAACCAATGCTATTGAATCACTAGAAGGTCGAGTAACAACTCTTGAGGCCAGCTTAAAACCAGTTCAAGACATGGCAAAGACCATATCATCCCTGAATCGCAGCTGTGCCGAAATGGTTGCAAAATACGACCTACTGGTGATGACCACTGGGCGAGCAACTGCCACTGCTGCAGCAACAGAAGCATATTGGAATGAACATGGACAAGCACCTCCAGGCCCATCATTGTACGAGGATGATGCTATTAAGGCTAAATTGAAAGATCCGAACGGGAAGGTTCCAGAAAGTGTCAAACAGGCCTACACAAATCTAGATAGCACAAGTGCCCTCAATGAGGAAAATTTCGGGCGACCTTACATTTCAGCAAAAGATCTCAAGGAAATCATCTATGACCATCTCCCAGGATTTGGGACAGCTTTTCATCAGTTGGTGCAGGTTATCTGCAAAATTGGTAAGGATAATAATATCCTAGACATAATTCATGCAGAATTCCAAGCAAGCTTGGCTGAGGGAGACTCCCCCCAGTGTGCATTAATCCAGATAACAAAACGGATCCCTGCTTTCCAAGATGCCTCTCCTCCAATTGTGCATATCAAGTCTCGAGGAGATATACCCAAAGCCTGTCAGAAAAGCCTCCGGCCGGTCCCGCCGTCACCAAAGATCGATAGAGGTTGGGTCTGTATTTTTCAATTCCAAGACGGGAAGGCCCTTGGGCTAAAAATATGATACAGAAGCAAGGTAAGCTCATTTTGCGATGGCCAAATGATACTTATGACTGTTTAAAATCAAGTTAGACTAATAGTCTATCATGTCATAAGCTTATAAGTCAGTTTTAAATTTCCCCTCTATCCTAATCAATTGATAATGCTGTCAATAGGAAAATTCCCCTGTATTGTAATAAGACCTCATTAACACATTTCCTCTGCTTAGTACTATGCAGAAACCCCCGAGCAAATTAAAATTGATGAAGATTAAGAAAAAGAGGGATTTTCTCAGGAAAAATCTTTTTTCTTACCTTCATCTCATTTAAACAAATTTAGGACTCAGGAAAAATGAAAAGGGTCACTGTGCCGACTGCACCACCTGCCTATGCTGACATTGGCTATCCTATGAGCATGCTTCCCATCAAGTCAAGCAGGGCTGTGAGTGGAATTCAACAGAAACAAGAGGTCCTTCCTGGAATGGATACACCATCAAATTCTATGAGACCTGTTGCTGATGATAACATTGATCATACAAGTCATACCCCGAACGGAGTGGCCTCAGCATTCATCTTGGAGGCAACTGTCAATGTGATCTCGGGGCCCAAAGTCCTCATGAAACAAATCCCTATTTGGTTGCCACTCGGAATTGCTGACCAAAAAACGTACAGTTTTGACTCAACAACAGCAGCAATTATGCTCGCATCTTATACGATCACCCATTTTGGAAAGGCCAACAACCCCCTCGTTAGAGTGAATCGACTTGGTCAGGGAATACCGGATCACCCACTCAGATTGCTCAGGATGGGGAACCAGGCTTTCCTTCAAGAGTTTGTGCTACCACCAGTTCAACTGCCGCAATATTTCACTTTTGATCTGACTGCACTCAAATTAGTGACACAGCCTCTCCCTGCTGCGACATGGACAGATGAGACTCCGAGCAACCTTTCAGGAGCACTTCGTCCCGGGCTTTCATTTCACCCAAAGCTGAGACCCGTTCTACTTCCAGGCAAAACGGGAAAGAAAGGGCATGTTTCTGATCTGACTGCTCCAGACAAAATTCAGACAATTGTGAACCTGATGCAAGATTTCAAAATCGTGCCAATTGATCCAGCTAAGAGTATCATTGGGATCGAGGTTCCAGAATTGCTGGTCCACAAGCTCACTGGGAAGAAAATGAGTCAGAAGAATGGACAGCCTATAATTCCTGTCTTACTTCCAAAATACATTGGGCTAGATCCAATCTCACCTGGAGACCTGACTATGGTCATAACACCAGATTATGATGATTGTCATTCACCTGCCAGTTGCTCTTATCTCAGTGAAAAGTGATTCTCACAAAGTGAGAGAAACACCTCCAGTAAAGAAATCAAATCTTGTCTATAGCAACTCAATCGACTTTTAGGAAGCTAGCAGTACATATACTATGGGACAACTCAACCCTCTTGTTAAAATGTACTAATCGGGTCAAAGAACTCTCACTGATCAAGCCTGAATCCAAGATAGAACCAGCCCAAAGGGCCTCCCCAGAGTCTCTTACAAACTTAGCCAATCAATTAACATGCATAAGCGATCCATACTTCACCCAATCAGTGTCCGATGTTCACCCCTTCAAGCCTCCTTCCTAGCAAATTGAACTAGCTGTACCAAGAGGTTCCCTCAGCCTCCTTCTCAAATAACCTGATCCTTGAGGGTTACACCTTCACCACTCTATGCTCATTTCACCCAAACATAAAATGAAATGTCTTAACATGATTGCACCATTAAGAAAAACAAATCTGATGAAGATTAAGCCTGATTAAGGCCCAACCTTCATCTTTTTACCATAATCTTGTTCTCAGTACCATTTGATAAGGGTACACTTGCCAAAACGCCCCCATCCTAAGGGTCTCGCAATGGGGGGTCTTAGCCTACTCCAATTGCCCAGGGACAAGTTTCGGAAAAGCTCTTTCTTTGTTTGGGTCATCATCTTATTCCAAAAGGCCTTTTCCATGCCTTTGGGTGTTGTGACTAACAGCACTTTAGAAGTAACAGAGATTGACCAGCTAGTCTGCAAGGATCATCTTGCATCTACTGACCAGCTGAAATCAGTTGGTCTCAACCTCGAGGGGAGCGGAGTATCTACTGATATCCCATCTGCAACAAAGCGTTGGGGCTTCAGATCTGGTGTTCCTCCCAAGGTGGTCAGCTATGAAGCGGGAGAATGGGCTGAAAATTGCTACAATCTTGAAATAAAGAAGCCGGACGGGAGCGAATGCTTACCCCCACCGCCAGATGGTGTCAGAGGCTTTCCAAGGTGCCGCTATGTGCACAAAGCCCAAGGAACCGGGCCCTGCCCAGGTGACTACGCCTTTCACAAGGATGGAGCTTTCTTTCTCTATGACAGGCTGGCTTCAACTGTAATTTACAGAGGAGTCAATTTTGCTGAGGGGGTGATTGCATTCTTGATATTGGCTAAACCAAAAGAAACGTTCCTTCAGTCACCCCCCATTCGAGAGGCAGTAAACTACACTGAAAATACATCAAGTTATTATGCCACATCCTACTTGGAGTATGAAATCGAAAATTTTGGTGCTCAACACTCCACGACCCTTTTCAAAATTGACAATAATACTTTTGTTCGTCTGGACAGGCCCCACACGCCTCAGTTCCTTTTCCAGCTGAACGACACCATTCACCTTCACCAACAGTTGAGTAATACAACTGGGAGACTAATTTGGACACTAGATGCTAATATCAATGCTGATATTGGTGAATGGGCTTTTTGGGAAAATAAAAAAATCTCTCCGAACAACTACGTGGAGAAGAGCTGTCTTTCGAAGCTTTATCGCTCAACGAGACAGAAGACGATGATGCGGCATCGTCGAGAATTACAAAGGGAAGAATCTCCGACCGGGCCACCAGGCAGTATTCGGACCTGGTTCCAAAGAATCCCCCTGGGATGGTTCCATTGCACATACCAGAAGGGGAAACAACATTGCCGTCTCAGAATTCGACAGAAGGTCGAAGAGTAAGTGTGAACACTCAGGAGACCATCACAGAGACAGCTGCAACAATTATAGGCACTAACGGCAACCATATGCAGATCTCCACCATCGGGATAAGACCGAGCTCCAGCCAAATCCCGAGTTCCTCACCGACCACGGCACCAAGCCCTGAGGCTCAGACCCCCACAACCCACACATCAGGTCCATCAGTGATGGCCACCGAGGAACCAACAACACCACCGGGAAGCTCCCCCGGCCCAACAACAGAAGCACCCACTCTCACCACCCCAGAAAATATAACAACAGCGGTTAAAACTGTCCTGCCACAGGAGTCCACAAGCAACGGTCTAATAACTTCAACAGTAACAGGGATTCTTGGGAGTCTTGGGCTTCGAAAACGCAGCAGAAGACAAACTAACACCAAAGCCACGGGTAAGTGCAATCCCAACTTACACTACTGGACTGCACAAGAACAACATAATGCTGCTGGGATTGCCTGGATCCCGTACTTTGGACCGGGTGCGGAAGGCATATACACTGAAGGCCTGATGCATAACCAAAATGCCTTAGTCTGTGGACTTAGGCAACTTGCAAATGAAACAACTCAAGCTCTGCAGCTTTTCTTAAGAGCCACAACGGAGCTGCGGACATATACCATACTCAACAGGAAGGCCATAGATTTCCTTCTGCGACGATGGGGCGGGACATGCAGGATCCTGGGACCAGATTGTTGCATTGAGCCACATGATTGGACAAAAAACATCACTGATAAAATCAACCAAATCATCCATGATTTCATCGACAACCCCTTACCTAATCAGGATAATGATGATAATTGGTGGACAGGCTGGAGACAGTGGATCCCTGCAGGAATAGGCATTACTGGAATTATTATTGCAATTATTGCTCTTCTTTGCGTTTGCAAGCTGCTTTGCTGAATATCAATTTGAATCATCAATTTAAGCTTGATACATTTCTAGCATTTTAAATTATAAACCGATACTGATACTTGAAAATCAGGCTAATGCCAAGTTCTGTGCAAAACTTGAAAGTAAGCTTACAAAAATCCTTTGAACTGGAATGCTTTGATACTCTTTCTCAATACTATATAAGTTCCTTCCCAAGAATAATATTGATGAAGATTAAGAAAAAGTGACATTGTGCCCACTTTTGTAATCTTCATCCACCTACACATTCATATTCAGGAATCTTTGAATTAACCCTCACACTTGCTTAGGAAAGAGCCTATCCTCTACAAGAATCCCGAGGCGGCAATTCAGTTAATTTCATATCAAGATAACATCCATTTCCAAGACCACAGATAACTATATTATTAATCTTTACCACAAATATGGAGAGGGGTCGTGAGCGCGGGAGATCAAGGAATTCACGTGCCGACCAGCAAAATTCAACAGGTCCTCAATTTAGGACAAGATCCATTTCCCGGGATAAGACAACAACAGACTACCGTAGTAGTCGAAGTACTTCGCAAGTTAGAGTCCCTACGGTTTTCCATAAGAAAGGTACTGGGACCCTTACTGTCCCTCCAGCACCTAAGGATATTTGTCCTACTCTCAGAAAAGGATTTCTATGTGACAGTAATTTCTGTAAAAAGGACCATCAACTTGAAAGCCTAACCGACCGGGAGCTCCTACTTCTTATAGCACGGAAGACCTGTGGATCAACTGATTCATCGCTTAATATAGCTGCTCCTAAAGACCTAAGACTAGCAAATCCTACGGCTGATGACTTCAAGCAAGACGGCAGTCCAAAATTAACCCTAAAATTACTAGTCGAGACTGCTGAGTTTTGGGCCAATCAGAATATTAATGAAGTAGATGATGCAAAACTCCGTGCTCTCTTGACGTTGAGTGCTGTCTTAGTGCGGAAATTCTCTAAGTCACAGCTTAGTCAATTATGTGAGAGTCATCTTAGGAGGGAAAACTTAGGACAAGACCAAGCTGAATCAGTTCTCGAGGTTTATCAACGTTTACATAGTGATAAAGGAGGTGCTTTTGAGGCAGCACTATGGCAACAGTGGGATAGACAATCATTAACTATGTTTATATCTGCTTTCCTCCATGTAGCATTGCAACTTTCCTGTGAGAGCTCCACTGTAGTGATATCAGGCCTACGCTTACTTGCCCCCCCAAGCGTTAATGAAGGGCTCCCTCCTGCACCAGGGGAATATACTTGGTCAGAAGATAGTACAACTTAGCCTATAGGGAGGACAAGTAAAACAAGATGCCCTTATCCTCTATAGATGGTATTTTTAAAGAGGGGGACAGGATAGGAATAAAGATAATGACTAAAGCCAATATAAAGATACGAACACAAGTAGAAATTAAAATAGAAATCAAAACAATCTCCCCTTGTTCAATATGAAATATAATAGTGAGTATTTGTTTCATGATGTCAATCATTTATTGTTAAAAATAAACAAAGTCAGTAAGAGTGTTAGGATCGTTATATTGCAAGGATCCTCCCTAGAAGCGTTGAATCATCTCAAGTAGCCTAGAACAAGAACAGCAGAGCATTAAATTGAAATAGATAATAAGGATATTGCTTGTTTTTAAGATAGTTTTAGGAAGTTTAAAATTAAGAAAAAGAACCCATGGACACACTCTAGCATTGAGGATGGGGTTCCCTTGATGATAGTATAGTCTTAGGTATAGGGTAGTCCTACACGTCCTATATTATACAGTCTAAACTTGTAAAATTAAACTACAAGAACATGATGAAAATTAATGAGAAGGTTCCAAGATTGACTTCAATCCAAACACCTTGCTCTGCCAATTTTCATCTCCTTAAGATATATGATTTTGTTCCTGCGAGATAAGGTTATCAAATAGGGTGTGTATCTCTTTTACATATTTGGGCTCCCACTAGGCTAGGGTTTATAGTTAAGGAAGACTCATCACATTTTTAATTGAACTAGTCTACTCGCAGAATCCTACCGGGAATAGAAATTAGAACATTTGTGATACTTTGACTATAGGAAATAATTTTCAACACTACCTGAGATCAGGTTATTCTTCCAACTTATTCTGCAAGTAATTGTTTAGCATCATAACAACAACGTTATAATTTAAGAATCAAGTCTTGTAACAGAAATAAAGATAACAGAAAGAACCTTTATTATACGGGTCCATTAATTTTATAGGAGAAGCTCCTTTTACAAGCCTAAGATTCCATTAGAGATAACCAGAATGGCTAAAGCCACAGGCCGGTACAACTTGGTAACACCAAAACGGGAGCTAGAGCAAGGAGTTGTGTTTAGCGACCTATGCAACTTCCTAGTGACTCCAACTGTGCAAGGATGGAAGGTTTACTGGGCTGGACTTGAGTTTGATGTCAACCAAAAGGGTATTACCCTGTTAAATCGTCTTAAAGTGAATGATTTTGCTCCTGCATGGGCGATGACCCGGAACCTCTTCCCACACTTGTTCAAAAACCAACAGTCTGAAGTCCAAACTCCCATTTGGGCCTTAAGGGTAATTCTTGCCGCCGGGATTCTTGACCAATTAATGGATCATTCCCTCATTGAGCCGCTATCAGGGGCCCTGAACCTAATTGCTGATTGGTTACTAACAACATCTACTAATCACTTCAACATGAGAACTCAACGAGTAAAGGACCAACTGAGTATGAGGATGTTATCTCTTATAAGGTCAAATATTATTAACTTTATAAATAAGCTCGAGACTCTTCATGTCGTTAATTACAAGGGACTTCTAAGCAGTGTTGAGATAGGAACACCAAGCTATGCAATCATCATTACCAGGACTAATATGGGTTATCTTGTCGAAGTTCAGGAACCAGATAAATCTGCAATGGATATACGACACCCTGGTCCTGTCAAATTCTCCCTACTACATGAATCGACACTTAAACCTGTTGCCACTCCTAAACCGTCAAGCATTACTTCATTGATCATGGAGTTCAACAGTTCTTTGGCAATTTAATTGCCGTAATAACAATTGTACGATAGGGCTAACATTGATTCCATAATCCATCGTAGGACAGAATCATTTTCCTGTATGATCTTAGTTTAATCTCTCTTTATACAATGATTAATAAGGAGCTTGTTTAGAATGTTACAAAAGTATACTGTTTGACCCCCTAGTATCCCTGTAAATATCCTCATTCAATTTTTTGCTTTTACATGTGTAGTCACCTGTATAGCATGACCCTAGTCATGCCTTTAATTAATACTTAATCTAACAGTTAATATAATGTATAACTTTCCATGTTCAAAGAGTAGTCAAAACAATGTGAGATCCAGTTTCACTCACAGCATCTATTCACTATTTACAGTATGATGAGCCCAAATTAACACAGTAGAGGTCTAGATTTATTAATAGAATGAGGAAGATTAAGAAAAAGTCCATAATGCTGGGGAGGCAATCCTTGCCACCATAGGACTTTTTCAATTCCTCTATTTTATGATGGCTACCCAACATACACAATATCCTGATGCAAGATTGTCTTCCCCAATTGTCTTAGACCAATGTGACCTAGTGACAAGAGCTTGTGGACTTTACTCTGAGTATTCGCTGAACCCTAAACTAAGGACATGCCGTTTACCGAAACATATCTACAGATTAAAATATGACACTATTGTTTTACGATTTATCAGTGATGTCCCTGTAGCTACAATCCCAATAGACTACATTGCTCCGATGTTAATAAATGTTCTGGCAGATAGTAAAAATGTACCATTGGAACCTCCCTGCTTGAGTTTCTTGGATGAAATAGTCAATTATACCGTGCAGGATGCAGCATTCCTTAATTATTACATGAATCAGATTAAAACACAGGAAGGAGTAATTACAGATCAATTGAAACAGAACATTCGTAGGGTCATTCACAAAAACAGATATCTATCTGCTCTATTCTTCTGGCATGATCTTGCCATCCTCACCCGTCGAGGGAGAATGAACCGAGGAAATGTGCGCTCTACTTGGTTTGTAACGAATGAGGTTGTTGACATTCTAGGATATGGTGATTATATCTTCTGGAAGATCCCTATTGCTCTATTACCAATGAACACAGCTAATGTTCCACATGCATCAACTGACTGGTACCAACCTAATATCTTCAAGGAGGCTATTCAAGGACACACACATATTATTTCAGTCTCTACAGCCGAGGTCCTTATTATGTGTAAGGATCTTGTCACAAGTCGTTTTAATACCCTTCTGATTGCTGAGTTAGCCAGGTTGGAAGATCCAGTGTCTGCTGATTATCCACTAGTAGATAATATTCAATCTCTGTATGACGCAGGAGACTACCTGTTGTCCATATTGGGATCAGAGGGGTACAAAATAATCAAATATCTCGAACCTCTGTGTTTGGCTAAGATTCAACTATGTTCCCAATATACAGAACGAAAAGGGCGGTTTTTAACCCAGATGCATCTTGCAGTTATTCAGACATTGCGTGAACTCCTCCTTAATAGAGGGTTGAAAAAATCACAATTGTCTAAAATCCGCGAATTTCACCAACTGTTGCTCAGACTCCGATCTACACCACAACAATTATGTGAATTATTTTCAATCCAAAAACACTGGGGCCACCCAGTTCTGCATAGTGAAAAGGCCATCCAAAAGGTTAAAAATCATGCAACAGTTCTAAAGGCATTGCGGCCGATTATCATCTTTGAAACGTATTGTGTGTTCAAGTATAGTGTTGCAAAACATTTCTTTGATAGTCAAGGCACTTGGTACAGTGTGATATCAGACCGATGTTTAACGCCGGGATTGAATTCCTACATTAGGCGAAATCAATTCCCTCCACTTCCAATGATCAAAGATCTTTTATGGGAATTTTACCATTTGGATCATCCTCCATTATTCTCCACGAAGATCATTAGTGACCTCAGCATTTTCATTAAAGACCGCGCAACAGCAGTTGAACAGACCTGTTGGGATGCAGTTTTTGAGCCTAACGTTTTGGGCTACAGTCCACCTTATCGATTCAATACCAAACGTGTACCTGAACAATTCCTGGAGCAAGAGGATTTTTCTATTGAGAGTGTCTTACAATACGCCCAAGAACTTAGGTACTTATTGCCCCAGAATCGAAATTTTTCTTTTTCATTGAAGGAAAAAGAATTAAATGTTGGTAGGACATTTGGAAAATTGCCTTATTTAACCAGGAATGTCCAAACCCTCTGCGAAGCATTACTTGCAGATGGTTTGGCTAAAGCCTTTCCAAGCAATATGATGGTGGTCACAGAGAGGGAACAAAAGGAGAGCCTCCTTCACCAAGCATCCTGGCACCATACAAGTGATGATTTCGGAGAGCATGCCACAGTTCGTGGAAGTAGTTTTGTCACAGACCTGGAAAAATACAATCTGGCCTTCAGGTATGAATTCACAGCTCCCTTCATCAAATATTGCAACCAATGCTATGGGGTTCGCAATGTCTTTGATTGGATGCACTTCCTAATTCCACAGTGTTACATGCATGTTAGTGATTATTATAACCCACCACATAATGTAACCTTAGAGAATAGGGAATATCCCCCCGAAGGACCAAGTGCTTATAGAGGCCACCTTGGCGGTATTGAGGGGCTTCAACAAAAGTTATGGACTAGTATCTCATGTGCTCAAATCTCATTGGTAGAGATCAAGACCGGGTTCAAATTGCGATCAGCAGTCATGGGGGATAATCAATGTATTACAGTATTATCAGTCTTTCCACTAGAATCTAGTCCGAATGAGCAGGAGAGATGCGCAGAAGACAATGCAGCCAGAGTGGCTGCTAGCTTGGCCAAAGTCACAAGTGCCTGTGGGATATTCCTCAAGCCTGATGAGACTTTCGTACACTCAGGCTTTATCTATTTTGGCAAAAAGCAATACTTGAACGGAATTCAATTACCTCAATCACTCAAGACAGCAGCTAGGATGGCCCCTCTCTCAGATGCAATTTTTGATGACTTGCAAGGTACACTTGCTAGTATAGGAACTGCCTTTGAGCGATCAATCTCCGAAACTAGACATATTTTACCATGTCGTGTTGCAGCTGCCTTTCATACATATTTCTCTGTTCGGATCTTACAACATCATCACCTTGGTTTCCATAAGGGTTCAGACCTTGGACAATTGGCAATCAATAAACCTCTTGATTTCGGGACCATTGCACTATCCCTAGCAGTTCCTCAGGTATTGGGTGGATTATCCTTCCTAAATCCAGAAAAGTGCCTTTATCGCAACTTGGGTGATCCTGTAACTTCAGGCCTATTCCAGTTGAAGCATTATCTGTCAATGGTGGGTATGAGTGATATCTTTCATGCACTTGTTGCAAAAAGCCCAGGGAATTGTAGCGCGATTGACTTTGTTCTAAACCCAGGCGGGTTAAATGTCCCTGGATCACAGGATTTAACATCTTTCCTTCGTCAGATTGTCAGAAGGAGTATCACACTTTCGGCAAGGAACAAGTTAATCAACACGTTATTTCACGCTTCTGCAGATCTTGAAGACGAATTAGTATGTAAATGGTTACTTTCTTCAACGCCCGTGATGAGTCGTTTCGCAGCCGATATTTTCTCACGAACACCAAGCGGGAAAAGATTACAAATCTTGGGATACCTCGAGGGAACCAGAACTTTATTAGCATCTAAAATGATAAGCAATAATGCAGAGACACCAATCTTGGAGAGGCTCAGAAAAATAACACTTCAAAGATGGAATCTATGGTTTAGTTACCTAGACCATTGTGACCCAGCTTTAATGGAAGCAATTCAACCAATTAAGTGTACTGTTGATATTGCTCAAATTCTTAGAGAATACTCCTGGGCTCATATTCTTGATGGTAGACAGTTAATAGGGGCAACACTGCCATGTATACCTGAGCAGTTCCAAACCACATGGTTAAAACCTTACGAGCAATGTGTGGAATGTTCATCCACAAACAATACTAGTCCATATGTATCAGTTGCATTAAAAAGGAACGTGGTTAGTGCTTGGCCTGATGCATCTAGATTGGGGTGGACGATTGGTGATGGGATTCCCTACATAGGCTCAAGAACTGAGGACAAGATAGGTCAGCCCGCTATTAAGCCGAGGTGCCCATCAGCTGCATTAAGAGAAGCTATTGAATTGACCTCTAGGTTGACCTGGGTCACTCAAGGTAGTGCAAACAGCGATCAGTTAATTCGCCCTTTTCTTGAGGCAAGAGTAAACTTGAGTGTACAAGAGATTCTTCAAATGACCCCCTCACATTACTCCGGTAATATTGTGCATCGGTATAATGATCAGTATAGCCCTCACTCCTTTATGGCTAACCGCATGAGTAACACAGCAACGCGCTTGATGGTATCTACCAACACACTAGGAGAGTTTTCCGGAGGGGGTCAGGCTGCACGTGATAGCAACATTATATTTCAAAATGTGATTAACTTTGCAGTGGCCTTGTATGACATTAGGTTTCGGAACACTTGTACATCTTCTATTCAATATCACAGGGCCCATATTCACCTGACGAATTGTTGTACGAGGGAAGTACCGGCCCAATACTTAACATACACAACCACGCTAAATCTAGATTTGAGTAAGTACCGTAATAATGAACTGATTTATGATTCAGAGCCACTAAGAGGAGGTCTCAACTGCAACTTATCGATTGACAGTCCTTTGATGAAGGGCCCACGTTTAAATATTATTGAGGATGACTTAATACGGTTGCCACATTTATCCGGCTGGGAATTAGCAAAAACAGTCTTGCAATCAATAATCTCTGATAGTAGCAATTCATCAACAGATCCCATTAGCAGCGGTGAAACAAGATCCTTCACAACCCACTTCTTAACGTATCCCAAAATAGGGCTCCTATACAGTTTTGGAGCCCTCATAAGTTTTTATTTGGGTAATACTATTCTGTGCACGAAAAAGATCGGACTCACAGAATTTCTATACTATCTCCAGAATCAGATCCACAACTTATCACATAGATCCCTTCGAATCTTCAAACCGACATTTAGACACTCAAGTGTCATGTCCAGGTTGATGGATATAGACCCCAACTTCTCAATATATATTGGTGGGACTGCAGGTGACCGTGGATTATCGGACGCTGCAAGATTATTTCTCCGAATTGCAATTTCAACTTTCTTGAGCTTTGTTGAGGAGTGGGTTATCTTTAGGAAGGCAAACATCCCACTATGGGTTATCTATCCTCTCGAAGGCCAACGCCCTGATCCTCCTGGCGAATTTTTGAACCGAGTAAAATCTCTAATTGTTGGGACTGAAGATGATAAAAATAAAGGCTCTATACTTTCAAGATCTGGAGAGAAATGCTCTTCAAATCTAGTTTATAATTGCAAGAGTACAGCAAGCAATTTTTTCCATGCATCATTGGCTTATTGGAGAGGTCGACACAGACCTAAGAAGACTATAGGTGCAACCAACGCGACAACAGCTCCACACATCATCCTGCCACCAGGAAACTCTGATCGACCGCCTGGCCTAGACCTTAATAGGAACGATGATACTTTCATTCCTACCAGAATTAAACAGATAGTCCAAGGAGACTCTAGAAACGACAGAACGACCACCACGAGATTTCCACCCAAAAGTAGGTCCACTCCAACATCAGCAACCGAGCCTCCTACAAAAATGTATGAGGGTTCGACAACCCACCAAGGGAAATTAACAGATACACATTTGGATGAGGATCACAATGCCAAAGAGTTCCCATCCAATCCGCATCGTTTAGTAGTACCATTCTTTAAATTAACAAAAGATGGGGAATACAGTATCGAACCTTCTACTGAAGAAAGCCGCAGTAATATAAAAGGGTTACTTCAACATTTAAGAACCATGGTTGATACTACCATATATTGTCGCTTCACTGGAATTGTTTCATCAATGCATTATAAGTTAGATGAAGTACTATGGGAATATAATAAATTTGAATCAGCTGTAACCCTAGCAGAAGGGGAGGGTTCAGGTGCCTTACTACTGATCCAAAAATACGGCGTTAAGAAGTTATTTTTGAATACACTTGCTACTGAACATAGTATTGAGAGTGAAGTTATATCAGGTTACACCACTCCAAGGATGCTACTCTCAATTATGCCTAAAACACATCGTGGTGAGCTAGAGGTCATATTAAATAACTCAGCTAGTCAAATAACTGACATTACACACCGAGATTGGTTTTCAAATCAAAAAAATAGGATTCCAAATGATGCTGATATTATTACCATGGATGCTGAAACTACAGAAAACTTAGATCGTTCCAGATTATATGAAGCAGTATATACGATTATTTGTAATCATATCAATCCTAAAACTTTGAAAGTGGTCATCTTAAAAGTCTTCCTCAGCGATTTGGATGGGATGTGCTGGATTAACAATTATCTTGCTCCTATGTTTGGATCAGGATATTTAATCAAACCTATAACATCAAGTGCAAAGTCAAGTGAGTGGTATTTATGCTTATCTAATCTACTTTCAACCTTGAGAACTACTCAGCATCAAACCCAGGCAAACTGTCTCCATGTCGTACAATGTGCTCTTCAACAGCAAGTACAAAGAGGGTCATACTGGCTAAGTCATCTTACCAAATACACCACAAGTAGATTGCACAATAGTTATATCGTATTTGGTTTTCCTTCATTAGAGAAGGTCCTATATCATAGGTATAACCTCGTTGATTCGAGAAACGGACCATTAGTTTCTATAACGAGACACCTTGCCCTCCTCCAAACTGAGATCCGGGAGTTGGTAACTGATTATAATCAGCTGCGACAAAGTCGAACCCAGACTTATCATTTCATAAAAACATCCAAGGGACGGATAACTAAACTAGTGAATGATTATCTAAGATTTGAGTTGGTTATACGGGCTCTTAAAAATAATTCTACATGGCACCATGAGTTATACTTGCTACCAGAACTTATAGGTGTTTGCCATCGATTTAATCATACACGTAACTGTACATGCAGTGAAAGGTTCCTGGTTCAAACTTTATATCTACACCGAATGAGTGATGCTGAGATAAAACTTATGGACCGGCTCACCAGCCTAGTCAATATGTTTCCTGAAGGTTTCAGGTCTAGTTCAGTCTAATTCTAACTGCACCAAAGGCTCTAGAAATATTTTAAATAACCAGGTGTATATCAAAGTCAATACAAGTGTAAAAACAATATGCAAGGGACCACATTTAGGATCAGTTTATTGACTCTTCCAATACACAGAGTTGGAAGCACCGATTCAAGGTTTCTAAGACGCTCTATCAATTATGTTGATAATGTAAATAATAGCTTTTCCTGTCTATTATGACTTAAATAAACATATCTATAACGACCATCACAGCTAAGTCGTTGCCCTAGTTCATATATTAAATTAAAATTTAGAAGCTAGGTTAACTCTAATTACATAAGTATTAAGAAAAAATTACTAAGACTAATACTCTCATGCCAAGAACTAGTAATGTGTTTCACATGACAGATTATTTCTAACACTAAATTGCAATTTCAATTTTAAAGCTAAGTTTAACACCTATACAGCCAAAATATTTCATAGGGCCGATGGGAATAACATAAGAGGAACATGATCAATGAACCCTTTATTCCAACTAGGCAGTTGATTGATAATCTACAAATTCCATAAGATGTTCTTACGATATTCTTTTGTTTTTAATCTCAATGTCAATGATTTAATAAGTAATAATAAAAAAATCACATTAAAGATGCAGGAAGATCTTGACCTCGCCAGGAAAATTAAGCGCACACAAATAAATTAAAAAATCTGTATTTTCTCTTTTTTGTGTGTCC >Sudan_ebolavirus_isolate_EboSud-639_complete_genome CGGACACACAAAAAGAAAGAAAAGTTTTTTAGACTTTTTGTGTGCGAATAACTATGAGGAAGATTAATCATTTTCCTCAAACTCAAACTAATATTAACATTGAGATTGATCTCATCATTTACCAATTGGAGACTGTTTAACTAGTCAATCCCCCATTTGGGGGCATTCCTAAAGTGTTGCAAAGGTATGTGGGTCGTATTGCTTTGCCTTTTCCTAACCTGGCTCCTCCTACAATTCTAACCTGCTTGAGAAGTGTGATTACCTGAGTAATAGACTAATTTCGTCCTGGTAATTAGCATTTTCTAGTAAAATCAATACTATCTCAAGTCCTAAGAGAAGGTGAAAAGAGGGTCCCGAGGTATCCCTCCAGTCCACAAAATCTAGCTAATTTTAGCTGAGTGGACTGATTACTCTCATCACACGCTAACTACTAAGGGTTTACCTGAGAGCCTACAACATGGATAAACGGGTGAGAGGTTCATGGGCCCTGGGAGGACAATCTGAAGTTGATCTTGACTACCACAAAATATTAACAGCCGGGCTTTCGGTCCAACAAGGGATTGTGCGACAAAGAGTCATCCCGGTATATGTTGTGAGTGATCTTGAGGGTATTTGTCAACATATCATTCAGGCCTTTGAAGCAGGCGTAGATTTCCAAGATAATGCTGACAGCTTCCTTTTACTTTTATGTTTACATCATGCTTACCAAGGAGATCATAGGCTCTTCCTCAAAAGTGATGCAGTTCAATACTTAGAGGGCCATGGTTTCAGGTTTGAGGTCCGAGAAAAGGAGAATGTGCACCGTCTGGATGAATTGTTGCCCAATGTCACCGGTGGAAAAAATCTTAGGAGAACATTGGCTGCAATGCCTGAAGAGGAGACAACAGAAGCTAATGCTGGTCAGTTCTTATCCTTTGCCAGTTTGTTTCTACCCAAACTTGTCGTTGGGGAGAAAGCGTGTCTGGAAAAAGTACAAAGGCAGATTCAGGTCCATGCAGAACAAGGGCTCATTCAATATCCAACTTCCTGGCAATCAGTTGGACACATGATGGTGATCTTCCGTTTGATGAGAACAAACTTTTTAATCAAGTTCCTACTAATACATCAGGGGATGCACATGGTCGCAGGCCATGATGCGAATGACACAGTAATATCTAATTCTGTTGCCCAAGCAAGGTTCTCTGGTCTTCTGATTGTAAAGACTGTTCTGGACCACATCCTACAAAAAACAGATCTTGGAGTACGACTTCATCCACTGGCCAGGACAGCAAAAGTCAAGAATGAGGTCAGTTCATTCAAGGCAGCTCTTGGCTCACTTGCCAAGCATGGAGAATATGCTCCATTTGCACGTCTCCTCAATCTTTCTGGAGTCAACAACTTGGAACATGGGCTTTATCCACAACTCTCAGCCATTGCTTTGGGTGTTGCAACTGCCCACGGGAGCACGCTTGCTGGTGTTAATGTAGGGGAGCAATATCAGCAACTGCGTGAGGCTGCTACTGAAGCTGAAAAGCAACTCCAACAATATGCTAAAACACGTGAGTTGGACAACCTTGGGCTTGATGAACAGGAAAAGAAGATTCTCATGAGCTTCCACCAGAAGAAGAATGAGATCAGCTTCCAGCAAACTAACGCAATGGTAACCTTGAGGAAAGAGCGGCTGGCCAAACTGACCGAAGCCATCACGACTGCATCAAAGATCAAGGTTGGAGATCGTTATCCTGATGACAATGATATTCCATTTCCCGGGCCGATCTATGATGAAACCCACCCCAACCCTTCTGATGATAATCCTGATGATTCACGTGATACAACTATCCCAGGTGGTGTTGTTGACCCGTATGATGATGAGAGTAATAATTATCCTGACTACGAGGATTCGGCTGAAGGCACCACAGGAGATCTTGATCTCTTCAATTTGGACGACGACGATGACGACAGCCAACCAGGACCACCAGACAGGGGGCAGAGCAAGGAGAGAGCGGCTCGGACACATGGCCTCCAAGATCCGACCTTGGACGGAGCGAAAAAGGTGCCGGAGTTGACCCCAGGTTCCCACCAACCAGGCAACCTCCACATCACCAAGCCGGGTTCAAACACCAACCAACCACAAGGCAATATGTCATCTACTCTCCAGAGTATGACCCCTATACAGGAAGAATCAGAGCCCGATGATCAGAAAGATGATGATGACGAGAGTCTCACATCCCTTGACTCTGAAGGTGACGAAGATGTTGAGAGCGTATCAGGGGAGAACAACCCAACTGTAGCTCCACCAGCACCAGTCTACAAAGATGCTGGAGTAGACACTAATCAGCAAAATGGACCAAGCAATGCTGTAGATGGTCAAGGTTCTGAAAGTGAAGCTCTCCCAATCAACCCCGAAAAGAGATCTGCACTGGAAGAAACATATTATCATCTCCTAAAAACACAGGGTCCATTTGAGGCAATCAATTATTATCACCTAATGAGTGATGAGCCCATTGCTTTTAGCACTGAAAGTGGCAAGGAATATATCTTCCCAGATTCTCTTGAAGAAGCCTACCCGCCTTGGTTGAGTGAGAAGGAGGCCTTAGAGAAAGAAAATCGTTATCTGGTCATTGATGGCCAGCAATTCCTCTGGCCAGTAATGAGCCTACAGGACAAGTTCCTTGCTGTTCTTCAACATGACTGAGGACCCATGATTAGTAGATTTTGTTTATTCTGAGCTTGATTACAATTGTTTTGATAATTCAAGTATGAGCACCCAACCCGAAATATAAACCCTATCTTGGTTATGAGGAAATTAAATAAATAATCTGTAAGTTGTAGGACTATGAAGAGCTGCTTGTGTCAATTTATCACGGGTTAATACCCATACCGCAAGAATAATTATTTAGTAATTTTGATCAACTTATGATATGTACCGATAGGAAAACATTATAGCATTAAAACATAAAGTATCCTTCGATGAGCTTAGGAGGATAATATCCTGATGAATTCTATAGAACTTAGGATTAAGAAAAAATCCATGATGAAGATTAAAACCTTCATCATCCTTTAAAAAGAGAGCTATTCTTTATCTGAATGTCCTTATTAATGTCTAAGAGCTATTATTTTGTACCCTCTTAGCCTAGACACTGCCCAACATATAAGCCATGCAGCAGGATAGGACTTATAGACATCATGGACCCGAAGTGTCTGGCTGGTTTTCTGAGCAATTAATGACCGGCAAAATACCACTAACAGAGGTGTTTGTTGATGTTGAAAACAAACCAAGTCCTGCTCCGATAACCATTATTAGTAAGAATCCCAAGACAACACGTAAAAGTGATAAGCAGGTCCAAACAGATGATGCCAGTAGCTTATTGACAGAAGAAGTCAAGGCTGCCATAAATTCGGTGATATCAGCTGTGCGTCGGCAAACCAATGCTATTGAATCACTAGAAGGTCGAGTAACAACTCTTGAGGCCAGCTTAAAACCAGTTCAAGACATGGCAAAGACTATATCATCCCTGAATCGCAGCTGTGCCGAAATGGTTGCAAAATACGACCTACTGGTGATGACCACTGGGCGAGCAACTGCCACTGCTGCAGCAACAGAAGCATATTGGAATGAACATGGACAAGCACCTCCAGGCCCATCATTGTACGAAGATGATGCTATTAAGGCTAAATTGAAAGATCCGAACGGGAAGGTTCCAGAAAGTATCAAACAGGCCTACACAAATCTAGATAGCACAAGTGCCCTCAATGAGGAAAATTTCGGGCGACCTTACATTTCAGCAAAAGATCTCAAGGAAATCATCTATGACCATCTCCCAGGATTTGGGACAGCTTTTCATCAGTTGGTGCAGGTTATCTGCAAAATTGGTAAGGATAATAATATCCTAGACATAATTCATGCAGAATTCCAAGCAAGCTTGGCTGAGGGAGACTCCCCCCAGTGTGCATTAATCCAGATAACAAAACGGATCCCTGCTTTCCAAGATGCCTCTCCTCCAATTGTGCATATCAAGTCTCGAGGAGATATACCCAAAGCCTGTCAGAAAAGCCTCCGGCCGGTCCCACCGTCACCAAAGATCGATAGAGGTTGGGTCTGTATTTTTCAATTCCAAGACGGGAAGGCCCTTGGGCTAAAAATATGATACAGAAGCAAGGTAAGCTCATTTTGCGATGGCCAAATGATACTCATGACTGTTTAAAATCAAGTTAGACTAATAGTCTATCATGTCATAAGCTTATAAGTCAGTTTTTAATTTCCCCTCTATCCTAATCAATTGATAATGCTGTCAATAGGGAAATTCCCCTGTATTGTAATAAGACATTTTTAACATATTTCCCCTGCTTAGTACTATGCAGAAACCCCCGAGCAAATTAAAATTGATGAAGATTAAGAAAAAGAGGGATTTTCTCAGGAAAAATCTTTTTTCTTACCTTCATCTCATTTAAACAAATTTAGGACTCAGGAAAAATGAGAAGGGTCACTGTGCCGACTGCACCACCTGCCTATGCTGACATTGGCTATCCTATGAGCATGCTTCCCATCAAGTCAAGCAGGGCTGTGAGTGGAATTCAACAGAAACAAGAAGTCCTTCCTGGAATGGATACACCATCAAATTCTATGAGACCTGTTGCTGATGATAACATTGATCATACAAGTCATACCCCGAATGGAGTGGCCTCAGCATTCATCTTGGAGGCAACTGTCAATGTGATCTCGGGGCCCAAAGTCCTCATGAAACAAATCCCTATTTGGTTGCCACTCGGAATTGCTGACCAAAAAACGTACAGTTTTGACTCAACAACAGCAGCAATTATGCTCGCATCTTATACGATCACCCATTTTGGAAAGGCCAACAACCCCCTCGTCAGAGTGAATCGACTTGGTCAGGGAATACCGGATCACCCACTCAGATTGCTCAGGATGGGGAACCAGGCTTTCCTTCAAGAGTTTGTGCTACCACCAGTTCAACTGCCGCAATATTTCACTTTTGATCTGACTGCACTCAAATTAGTGACACAGCCTCTCCCTGCTGCAACATGGACAGATGAGACTCCGAGCAACCTTTCAGGAGCACTTCGTCCCGGGCTTTCATTTCACCCAAAGCTGAGACCCGTTCTACTTCCAGGCAAGACGGGAAAGAAAGGGCATGTTTCTGATCTGACTGCCCCAGACAAAATTCAGACAATTGTGAACCTGATGCAAGATTTCAAAATCGTGCCAATTGATCCAGCTAAGAGTATCATTGGGATCGAGGTTCCAGAATTGCTGGTCCACAAGCTCACTGGGAAGAAAATGAGTCAGAAGAATGGACAGCCCATAATTCCTGTCTTACTTCCAAAATACATTGGGCTAGATCCAATCTCACCTGGAGACCTGACTATGGTCATAACACCGGATTATGATGATTGTCATTCACCTGCCAGTTGCTCTTATCTCAGTGAAAAGTGATTCTCACAAAGTGAGAGAAACACCTCCAGTAAAGAAATCAAATCTTATCTATAGCAACTCAATCGACTTTTAGGAGGCTAGCAGTATATATACTATGGGACAACTCAACCCTCTTGTTAAAATGTACTAATCGGGTCAAGGAACTCTCACTGATCAAGCCTGAATCCAAGATAGAACCAGCCCAAAGGGCCTCCCCAGAGTCTCTCACAAGCTTAGCCAATCAATTAACATGCATAAGCGATCCATACTTCGCCCAATTAGTATCCGATGTTCACCCCTTCAAGCCTCCTTCCTAGCAAATTGACCTAGCTGTACCAAGAGATTCCCTCAGCCTCCTTCTCAAATAACCTGATCCTTGAGGGTTACACCTTCACCACTCTATGCTCATTTCACCCAAACATAAAATGAAATGTCTTAACATGATTGCACCATTAAGAAAAACAAATCTGATGAAGATTAAGCCTGATTAAGGCCCAACCTTCATCTTTTTACCATAATCTTGTTCTCAGTACCATTTGATAAGGGTACACTTGCCAAAACGCCCCCATCCTAAGGGTCTCGCAATGGGGGGTCTTAGCCTACTCCAATTGCCCAGGGACAAATTTCGGAAAAGCTCTTTCTTTGTTTGGGTCATCATCTTATTCCAAAAGGCCTTTTCCATGCCTTTGGGTGTTGTGACTAACAGCACTTTAGAAGTAACAGAGATTGACCAGCTAGTCTGCAAGGATCATCTTGCATCTACTGACCAGCTGAAATCAGTTGGTCTCAACCTCGAGGGGAGCGGAGTATCTACTGATATCCCATCTGCAACAAAGCGTTGGGGCTTCAGATCTGGTGTTCCTCCTAAGGTGGTCAGCTATGAAGCGGGAGAATGGGCTGAAAATTGCTACAATCTTGAAATAAAGAAGCCGGACGGGAGCGAATGCTTACCCCCACCGCCAGATGGTGTCAGAGGCTTTCCAAGGTGCCGCTATGTTCACAAAGCCCAAGGAACCGGGCCCTGCCCAGGTGACTACGCCTTTCACAAGGATGGAGCTTTCTTCCTCTATGACAGGCTGGCTTCAACTGTAATTTACAGAGGAGTCAATTTTGCTGAGGGGGTAATTGCATTCTTGATATTGGCTAAACCAAAAGAAACGTTCCTTCAGTCACCCCCCATTCGAGAGGCAGTAAACTACACTGAAAATACATCAAGTTATTATGCCACATCCTACTTGGAGTATGAAATCGAAAATTTTGGTGCTCAACACTCCACGACCTTTTTCAAAATTGACAATAATACTTTTGTTCGTCTGGACAGGCCCCACACGCCTCAGTTCCTTTTCCAGCTGAATGATACCATTCACCTTCACCAACAGTTGAGCAATACCACTGGGAGACTGATTTGGACACTAGATGCTAATATCAATGCTGATATTGGTGAATGGGCTTTTTGGGAAAATAAAAAAATCTCTCCGAACAACTACGTGGAGAAGAGCTGTCTTTCGAAGCTTTATCGCTCAACGAGACAGAAGACGATGATGCGGCATCGTCGAGAATTACAAAGGGAAGAATCTCCGACCGGGCCACCAGGAAGTATTCGGACCTGGTTCCAAAGAATTCCCCTGGGATGGTTCCATTGCACATACCAGAAGGGGAAACAACATTGCCGTCTCAGAATTCGACAGAAGGTCGAAGAGTAGGTGTGAATACTCAGGAGACCATTACAGAGACAGCTGCAACAATTATAGGCACTAACGGCAACCATATGCAGATCTCCACCATCGGGATAAGACCGAGCTCCAGCCAAATCCCGAGTTCCTCACCGACCATGGCACTAAGCCCTGAGGCTCAGACCCCCACAACCCACACATCAGGTCCATCAGTGATGGCCACCGAGGAACCAACAACACCACCGGGAAGCTCCCCTGGCTCAACAACAGAAGCGCCCACTCTCACCACCCCAGAAAATATAACAACAGCGGTTAAAACTGTCTTGCCACAGGAGTCCACAAGTAACGGTCTAATAACTTCAACAGTAACAGGGATTCTTGGGAGTCTTGGGCTTCGAAAACGCAGCAGAAGACAAACTAACACCAAAGCCACGGGTAAGTGCAATCCCAACTTACACTACTGGACTGCACAAGAACAACATAATGCTGCTGGGATTGCCTGGATCCCGTACTTTGGACCGGGTGCGGAAGGCATATACACTGAAGGCCTGATGCATAACCAAAATGCCTTAGTCTGTGGACTTAGGCAACTTGCAAATGAAACAACTCAAGCTCTGCAGCTTTTCTTAAGAGCCACAACGGAGCTGCGGACATATACCATACTCAATAGGAAGGCCATAGATTTCCTTCTGCGACGATGGGGCGGGACATGCAGGATCCTGGGACCAGATTGTTGCATTGAGCCACATGATTGGACAAAAAACATCACTGATAAAATCAACCAAATCATCCATGATTTCATCGACAACCCCTTACCTAATCAGGATAATGATGATAATTGGTGGACGGGCTGGAGACAGTGGATCCCTGCAGGAATCGGCATTACTGGAATTATTATTGCAATTATTGCTCTTCTTTGCGTTTGCAAGCTGCTTTGCTGAATATCAATTTGAATCATCAATTTAAGCTTGATACATTTCTAGCATTTTAAATTATAAACCGATACTGATACTTGAAAATCAGGCTAATGCCAAGTTCTGTGCAAAACTTGAAAGTAGGTTTACAAAAATCCTTTGAACTGGAATGCTTTGATACTCTTTCTCAATACTATATAAGTTCCTTCCCAAGAATAATATTGATGAAGATTAAGAAAAAGTGACATTGTGCCCACTTTTGTAATCTTCATCCACCTACACATCCATATTCAGGAATCTTTGAATTAACCCTCACACTTGCTTAGGAAAGAGCCTATCTTCTACAAGAATCCCGAGGCGGCAATTCAGTTAATTTCATATCAAGATAACATCCATTTCCAAGACCACAGATAACTATATTATTAATCTTTACCACAAATATGGAGAGGGGTCGTGAGCGCGGGAGATCAAGGAATTCACGTGCCGACCAGCAAAATTCAACAGGTCCTCAATTTAGGACAAGATCCATTTCTCGGGATAAGACAACAACAGACTACCGTAGTAGTCGAAGTACTTCGCAAGTTAGAGTCCCTACGGTTTTCCATAAGAAAGGTACTGGGGCCCTTACTGTCCCTCCAGCACCTAAGGATATTTGTCCTACTCTCAGAAAAGGATTTCTATGTGATAGTAATTTCTGTAAAAAGGACCATCAACTTGAAAGCCTAACCGACCGGGAGCTCCTACTTCTTATAGCACGGAAGACCTGTGGATCAACTGATTCATCGCTTAATATAGCTGCTCCTAAAGACCTAAGACTAGCAAATCCTACGGCTGATGACTTCAAGCAAGACGGCAGTCCAAAATTAACCCTAAAATTACTAGTCGAGACTGCTGAGTTTTGGGCCAATCAGAATATTAATGAAGTAGATGATGCAAAACTCCGTGCTCTCTTGACGTTGAGTGCTGTCTTAGTGCGGAAATTCTCTAAGTCACAGCTTAGTCAATTATGTGAGAGTCATCTTAGGAGGGAAAACTTAGGACAAGACCAAGCTGAATCAGTTCTCGAGGTTTATCAACGTTTACATAGTGATAAAGGAGGTGCTTTTGAGGCAGCACTATGGCAACAATGGGATAGACAATCATTAACTATGTTTATATCTGCTTTCCTCCATGTAGCATTGCAACTTTCCTGTGAGAGCTCCACTGTAGTGATATCAGGCCTACGCTTACTTGCCCCCCCAAGCGTTAATGAAGGGCTCCCTCCTGCACCAGGGGAATATACTTGGTCAGAAGATAGTACAACTTAGCCTGTAGGGAGGACAAGTAAAACAAGATGCCCTTATCCTCTATAGATGGTATTTTTAAAGAGGGGGACAGGATAAGAATAAAGATAATGACTAAAGCCAATATAAAGATACGAACACAAGTAGAAATTAAAATAGAAATCAAAACAATCTCCCCTTATTCAATATGAAATATAATAGTGAGTATTTGTTTCATGATGTCAATCATTTATTGTTAAAAATAAACAAAGTCAGTAAGAGTGTTAGGATCGTTATATTGCAAGGATCCTCCCTAGAAGCGTTGAATCATCTCAAGTAGCCTAGAACAAGAACAGCAGAGCATTAAATTGAAATAGATAATAAGGATATTGCTTGTTTTTAAGATAGTTTTAGGGAGTTTAAAATTAAGAAAAAGAACCCATGGACACACTCTAACATTGAGGATGGGGTTCCCTTGATGATAGTATAGTCTTAGGTATAGGGTAGTCCTACACGTCCTATATTATACAGTCTAAACTTGTAAAATTAAACTACAAGAACATGATGAAAATTAATGAGAAGGTTCCAAGATTGACTTCAATCCAAACACCTTGCTCTGCCAATTTTCATCTCCTTAAGATATATGATTTTGTTCCTGCGAGATAAGGTTATCAAATAGGGTGTGTATCTCTTTTACATATTGGGGCCCCCACTAGGCTAGGGTTTATAGTTAAGGAAGACTCATCACATTTTTTATTGAACTAGTCTACTCGCAGAATCCTACCGGGAATAGAAATTAGAACATTTGTGATACTTTGACTATAGGAAATAATTTTCAACACTACCTGAGATCAGGTTATTCTTCCAACTTATTCTACAAGTAATTGTTTAGCATCATAACAACAACGTTATAATTTAAGAATCAAGTCTTGTAACAGAAATAAGGATAACAGAAAGAACCTTGATTATACGGGTCCATTAATTTTATAGGAGAAGCTCCTTTTACAAGCCTAAGATTCCATTAGAGATAACCAGAATGGCTAAAGCCACAGGCCGGTACAACTTGGTAACACCAAAACGGGAGCTAGAGCAAGGAGTTGTGTTTAGCGACCTATGCAATTTCCTAGTGACTCCAACTGTACAAGGATGGAAGGTTTACTGGGCTGGACTTGAGTTTGATGTCAACCAAAAGGGTATTACCCTGTTAAATCGTCTTAAAGTGAATGATTTTGCTCCTGCATGGGCGATGACCCGGAACCTTTTCCCACACTTGTTCAAAAACCAACAGTCTGAAGTCCAAACTCCCATTTGGGCCTTGAGGGTAATTCTTGCCGCCGGGATTCTTGACCAATTAATGGATCATTCCCTCATTGAGCCGCTATCAGGGGCCCTGAACTTAATTGCTGATTGGTTACTAACAACATCTACTAATCACTTCAACATGAGAACTCAACGAGTGAAGGACCAACTGAGCATGAGGATGTTATCTCTTATAAGGTCAAATATTATTAACTTTATAAATAAGCTCGAGACTCTTCATGTCGTTAATTACAAGGGACTTCTAAGCAGTGTTGAGATAGGAACACCAAGCTATGCAATCATCATTACCAGGACTAATATGGGTTATCTTGTCGAGGTTCAGGAACCAGATAAATCTGCGATGGATATACGACACCCTGGTCCTGTCAAATTCTCCCTACTACATGAATCGACACTTAAACCTGTTGCCACTCCTAAACCGTCAAGCATTACTTCATTGATCATGGAGTTCAACAGTTCTTTGGCAATTTAATTGCCGTAATAAAAATTGTATGATAGGGCTAACATTAATTCCATAATCCATCGTAGGACAGAATCATTTTCCTGTATGATCTTAGTTTAATCTCTCTTTATACAATGATTAATAAGGAGCTTGTTTAAAATGTTACAAAAGTATACTGTTTGAACCCCTAGTATCCCTGTAAATATCCTCATTCAATTGTTTGCTTTTACATGTGTAGTCACCTGTATAGCATGACCCTAGTCATGCCTTTAATTAATACTTAATCTAACAGTTAATATAATGTATAACTTTCCATGCTCAAAGAGTAGTCAAAACAATGTGAGATCCAGTTTCACTCACAGCATCTATTCACTATTTACAGTATGATGAGCCCAAATTAACACAGTAGAGGTCTAGATTTATTAATAGAACGAGGAAGATTAAGAAAAAGTCCATAATGCTGGGGAGGCAATCCTTGCCACCATAGGACTTTTTCAATTCCTCTACTTTATGATGGCTACCCAACATACACAATATCCTGATGCAAGATTGTCTTCCCCAATTGTCTTAGACCAATGTGACCTAGTGACAAGAGCATGTGGACTCTACTCTGAGTATTCGCTGAACCCTAAACTAAGGACATGCCGTTTACCGAAACATATCTATAGATTAAAATATGACACCATTGTTTTACGATTTATTAGTGATGTCCCTGTAGCTACAATCCCAATAGACTACATTGCTCCGATGTTAACAAATGTTCTGGCAGATAGTAAAAATGTACCATTGGAACCTCCCTGCTTGAGTTTCTTGGATGAAATAGTCAATTATACCGTGCAGGATGCAGCATTCCTTAATTATTACATGAATCAGATTAAAACACAGGAAGGAGTAATTACAGATCAATTAAAACAGAACATTCGTAGGGTCATTCACAAAAACAGATATCTATCTGCTCTATTCTTCTGGCATGATCTTGCCATCCTCACCCGTCGAGGGAGAATGAACCGAGGAAATGTGCGCTCTACTTGGTTTGTAACGAATGAGGTTGTTGACATTCTAGGATATGGTGATTATATCTTCTGGAAGATCCCTATTGCTCTATTACCAATGAACACAGCTAATGTTCCACATGCATCAACTGACTGGTACCAACCTAATATCTTCAAGGAGGCTATTCAAGGACACACACATATTATTTCAGTTTCTACAGCCGAGGTCCTTATTATGTGTAAGGATCTTGTCACAAGTCGTTTTAATACCCTTCTGATTGCTGAGTTAGCCAGGTTGGAAGATCCAGTGTCTGCTGATTATCCACTAGTAGATAATATTCAATCTCTGTATAACGCAGGAGACTACCTGTTGTCCATATTGGGATCAGAGGGGTACAAAATAATCAAATATCTCGAACCTCTGTGTTTGGCTAAGATTCAACTATGTTCCCAATATACAGAACGAAAAGGGCGGTTTTTAACCCAGATGCATCTTGCAGTTATTCAGACATTGCGTGAACTCCTCCTTAATAGAGGGTTGAAAAAATCACAATTGTCTAAAATCCGCGAGTTTCACCAACTGTTGCTCAGACTCCGATCTACACCACAACAATTATGTGAATTATTTTCAATCCAAAAACACTGGGGCCACCCAGTTCTGCATAGTGAAAAGGCCATCCAAAAGGTTAAAAATCATGCAACAGTTCTAAAGGCATTGCGGCCGATTATCATCTTTGAAACGTATTGTGTATTCAAGTATAGTGTTGCAAAACATTTCTTTGATAGTCAAGGCACTTGGTACAGTGTGATATCAGACCGATGTTTAACGCCAGGATTGAATTCCTACATTAGGCGAAATCAATTCCCTCCACTTCCAATGATCAAAGATCTTTTATGGGAATTTTACCATTTGGATCATCCTCCATTATTCTCCACGAAGATCATTAGTGACCTCAGCATTTTCATTAAAGACCGCGCAACAGCAGTTGAACAAACCTGTTGGGATGCAGTTTTTGAGCCTAACGTTTTGGGCTACAGTCCACCTTATCGATTCAATACCAAACGTGTACCTGAACAATTCCTGGAGCAAGAGGATTTTTCTATTGAGAGTGTCTTACAATACGCCCAAGAACTTAGGTACTTATTGCCCCAGAATCGAAATTTTTCTTTTTCATTGAAGGAAAAAGAATTAAATGTTGGTAGGACATTTGGAAAATTGCCTTATTTAACCAGGAATGTCCAAACCCTCTGCGAAGCATTACTTGCAGATGGTTTGGCTAAAGCCTTTCCAAGCAATATGATGGTTGTCACAGAGAGGGAACAAAAGGAGAGCCTCCTTCACCAAGCATCCTGGCATCATACAAGTGATGATTTCGGAGAGCATGCCACAGTTCGTGGAAGTAGTTTTGTCACAGACCTGGAAAAATACAATCTGGCCTTCAGGTATGAATTCACAGCTCCCTTCATCAAATATTGCAACCAATGCTATGGGGTTCGCAATGTCTTTGATTGGATGCACTTCCTAATTCCGCAATGTTACATGCATGTTAGTGATTATTATAACCCACCACATAATGTAACCTTAGAGAATAGGGCATATCCTCCCGAAGGACCAAGTGCTTATAGAGGCCACCTTGGCGGTATTGAGGGGCTTCAACAAAAGTTATGGACTAGTATCTCATGTGCTCAAATCTCATTGGTAGAGATCAAGACCGGGTTCAAATTGCGATCAGCAGTCATGGGGGATAATCAATGTATTACAGTATTATCAGTCTTTCCACTAGAATCTAGTCCGAATGAGCAGGAGAGATGCGCAGAAGACAATGCAGCCAGAGTGGCTGCTAGCTTGGCCAAAGTCACAAGTGCCTGTGGGATATTCCTCAAGCCTGATGAGACTTTTGTACACTCAGGCTTTATCTATTTTGGCAAAAAGCAATACTTGAACGGAATTCAATTACCTCAATCACTCAAGACAGCAGCTAGGATGGCCCCTCTCTCAGATGCAATTTTTGATGACTTGCAAGGTACACTTGCCAGTATAGGAACTGCCTTTGAGCGATCAATCTCCGAAACTAGACATATTTTACCATGTCGTGTTGCAGCTGCCTTTCATACATATTTCTCTGTTCGGATCTTACAACATCATCACCTTGGTTTCCATAAGGGTTCAGACCTTGGACAATTGGCAATCAATAAACCTCTTGATTTCGGGACCATTGCACTATCCTTAGCAGTTCCTCAGGTATTGGGTGGATTATCCTTCCTAAATCCAGAAAAGTGCCTTTATCGCAACTTGGGTGATCCTGTAACTTCAGGCCTATTTCAGTTGAAGCATTATCTGTCAATGGTGGGTATGAGTGATATCTTTCATGCACTTGTTGCAAAAAGCCCAGGGAATTGTAGCGCAATTGACTTTGTTCTAAACCCAGGCGGGTTAAATGTCCCTGGATCACAGGATTTAACATCTTTCCTTCGTCAGATTGTCAGAAGGAGTATCACACTTTCGGCAAGGAACAAGTTAATCAACACGTTATTTCACGCTTCTGCAGATCTTGAAGACGAATTAGTATGTAAATGGTTACTTTCTTCAACGCCCGTTATGAGCCGTTTCGCAGCCGATATTTTCTCACGAACACCAAGCGGGAAAAGATTACAAATCTTGGGATACCTCGAGGGAACCAGAACTTTATTAGCATCCAAAATGATAAGCAATAATGCAGAGACACCAATCTTGGAGAGGCTCAGAAAAATAACACTTCAAAGATGGAATCTATGGTTTAGTTATCTAGACCATTGTGACCCAGCTTTAATGGAAGCAATTCAACCAATTAAGTGTACTGTTGATATTGCTCAAATTCTTAGAGAATACTCCTGGGCTCATATTCTTGATGGTAGACAGTTAATAGGGGCAACACTGCCATGTATACCTGAGCAGTTCCAAACCACATGGTTAAAACCTTACGAGCAATGTGTGGAATGTTCATCCACAAACAATTCTAGTCCATATGTATCAGTTGCATTAAAAAGGAACGTGGTTAGTGCTTGGCCTGATGCATCTAGATTGGGGTGGACGATTGGTGATGGGATTCCCTACATAGGCTCAAGAACTGAGGACAAGATAGGTCAGCCCGCTATTAAGCCGAGGTGCCCATCAGCTGCATTAAGAGAAGCTATTGAATTGACCTCTAGGTTGACCTGGGTCACTCAAGGTAGTGCAAACAGCGATCAGTTAATTCGCCCTTTTCTTGAGGCAAGGGTAAACTTGAGTGTACAAGAGATTCTTCAAATGACACCCTCACATTACTCCGGTAATATTGTGCATCGGTATAATGATCAGTATAGCCCTCACTCCTTTATGGCTAACCGCATGAGTAACACAGCAACGCGCTTGATGGTATCTACCAACACACTAGGAGAGTTTTCCGGAGGGGGTCAGGCTGCACGTGATAGCAACATTATATTTCAAAATGTGATTAACTTTGCAGTGGCCTTGTATGACATTAGGTTTCGGAACACTTGTACATCTTCTATTCAATATCACAGGGCCCATATTCACCTGACGAATTGTTGTACGAGGGAAGTACCGGCCCAATACTTAACATACACAACCACGCTAAATCTAGATTTGAGTAAGTACCGTAATAATGAACTGATTTATGATTCAGAGCCACTAAGAGGAGGTCTCAACTGCAACTTATCGATTGACAGTCCTTTGATGAAGGGCCCACGTTTAAATATTATTGAGGATGACTTAATACGGTTGCCACATTTATCCGGCTGGGAATTAGCAAAAACAGTCTTGCAATCAATAATCTCTGATAGTAGCAATTCATCAACAGATCCCATTAGCAGCGGTGAAACAAGATCCTTTACAACCCACTTCTTAACGTATCCTAAAATAGGGCTCCTATACAGTTTTGGAGCCCTCATAAGTTTTTATTTGGGTAATACTATTCTGTGCACGAAAAAGATCGGACTCACAGAATTTCTATACTATCTCCAGAATCAGATTCACAACTTATCACATAGATCCCTTCGAATCTTCAAACCGACATTTAGACACTCAAGTGTCATGTCCAGGTTGATGGATATAGACCCCAACTTCTCAATATATATTGGTGGGACTGCAGGTGACCGTGGATTATCGGATGCTGCAAGATTATTTCTCCGAATTGCAATTTCAACTTTCTTGAGCTTTGTTGAGGAGTGGGTTATCTTTAGGAAGGCGAACATCCCACTATGGGTTATCTATCCTCTCGAAGGCCAACGCCCTGATCCTCCTGGCGAATTTTTGAACCGAGTAAAATCTCTAATTGTTGGGACTGAAGATGATAAAAATAAAGGCTCTATACTTTCAAGATCTGGAGAGAAATGCTCTTCAAATCTAGTTTATAATTGCAAGAGTACGGCAAGCAATTTTTTCCATGCATCATTGGCTTATTGGAGAGGTCGACATAGACCTAAGAAGACTATAGGTGCAACTAACGCGACAACAGTTCCACATATCATTTTGCCACTAGGAAATTCTGATCGACCGCCTGGCCTAGACCTTAATAGGAACAATGATACTTTCATTCCTACCAGAATTAAACAGATAGTCCAAGGAGACTCTAGAAACGACAGAACGACCACCACGAGATTTCCACCCAAAAGTAGGTCCACTCCAACATCAGCAACCGAGCCTCCTACAAAAATGTATGAGGGTTCGACTACCCACCAAGGGAAATTAACAGATACACATTTGGATGAGGATCACAATGCCAAAGAGTTTCCATCCAATCCGCATCGTTTAGTAGTACCATTCTTTAAATTAACAAAAGATGGGGAATACAGTATCGAACCTTCTCCTGAAGAAAGCCGCAGTAATATAAAAGGATTACTTCAACATTTAAGAACCATGGTTGATACTACCATATATTGTCGCTTCACTGGAATTGTTTCATCAATGCATTATAAGTTAGATGAAGTACTATGGGAATATAATAAATTTGAATCAGCTGTAACCCTAGCAGAAGGGGAGGGTTCAGGTGCCTTACTACTGATCCAAAAATACGGCGTTAAGAAGTTATTTTTGAATACACTTGCTACTGAACATAGTATTGAGAGTGAAGTGATATCAGGTTACACCACTCCAAGGATGCTACTCTCAATTATGCCTAAAACACATCGTGGTGAGCTAGAGGTCATATTAAATAACTCAGCTAGTCAAATAACTGATATTACACACCGAGATTGGTTTTCAAATCAAAAAAATAGGATTCCAAATGATGCTGATATTATTACCATGGATGCTGAAACTACAGAAAACTTAGATCGTTCCAGATTATATGAAGCAGTATATACGATTATTTGTAATCATATCAATCCTAAAACTTTGAAAGTGGTCATCTTAAAAGTCTTCCTCAGCGATTTGGATGGGATATGCTGGATTAACAATTATCTTGCTCCTATGTTTGGATCAGGATATTTAATCAAGCCTATAACATCAAGTGCAAAGTCAAGTGAGTGGTATTTATGCTTATCTAATCTACTTTCAACCTTGAGAACTACTCAGCATCAAACCCAGGCAAACTGTCTCCATGTCGTACAATGTGCTCTTCAACAGCAAGTACAAAGAGGGTCATATTGGCTAAGTCATCTTACCAAATACACCACAAGTAGATTGCACAATAGTTATATTGCATTTGGTTTTCCTTCATTAGAGAAGGTCCTATATCATAGGTATAACCTTGTTGATTCGAGAAATGGACCATTAGTTTCTATAACGAGACACCTTGCCCTCCTCCAAACTGAGATCCGGGAGTTGGTAACTGATTATAATCAGCTGCGACAAAGTCGAACCCAGACTTATCATTTCATAAAAACATCCAAGGGACGGATAACTAAACTAGTGAATGATTATCTAAGATTTGAGTTGGTTATACGGGCTCTTAAAAATAATTCTACATGGCACCATGAGTTATACTTGCTACCAGAACTTATAGGTGTTTGCCATCGATTTAATCATACACGTAACTGTACATGCAGTGAAAGGTTCCTGGTTCAAACTTTATACCTACACCGAATGAGTGATGCTGAGATAAAACTTATGGACCGGCTCACCAGCCTAGTCAATATGTTTCCTGAAGGTTTCAGGTCTAGTTCAGTCTAATTCTAACTGCACCAAAGGCTCTAGAAATATTTTAAATAACCAGGTGTATATCAAAGTCAATACAAGTGTAAAAACAATATGCAAGGGACTACATTTAGGATCAGTTTATTGACTCTTCCAATATACAGAGTTGGAAGCACCGATTCAAGGTTTCTAAGACGCTCTATCGATTATGTTGATAATGTAAATAACAGCTTTTCCTGTCCATTATGACTTAAATAAACATATCTATAACGACCATCACAGCTAAGTCGTTGCCCTAGTTCATATATTAAATTAAAATTTAGAAGCTAAGTTAACTCTAATTACATAAGTATTAAGAAAAAATTACTAAGACTAATACTCTCATGCCAAGAACTAGTAATGTGTTTCACATGACAGATTATTTCTAACACTAAATTGCAATTTCAATTTAAAAGCTAAGGTTAGCACCTATACAGCCAAAATATTTCATAGGGCCGATGGGAATAACATAAGAGGAACATGATCAATGAACCCTTTATTCCAACTAGGCAGTTGATTGATAATCTACAAATTCCATAAGATGTTCTTACGATTTTCTTTTGTTTTTAATCTCAATGTCAATGATTTAATAAGTAATAATAAAAAAATCACATTAAAGATGCAGGAAGATCTTGACCTCGCCAGGAAAATTAAGCGCACACAAATAAATTAAAAAATCTGTATTTTCTCTTTTTTGTGTGTCCA >Sudan_ebolavirus_isolate_EBOV-S-2004_from_Sudan_complete_genome CGGACACACAAAAAGAAAGAAAAGTTTTTAAGACTTTTTGTGTGCGAATAACTATGAGGAAGATTAATCATTTTCCTCAAACTCAAACTAATATTGACATTGAGATTGATCTCATCATTTACCAATTGGAGACAATTTAACTAGTTAATCCCCCATTTGGGGGCATTCCTAAAGTGTTGCGAAGGTATGTGGGTCGTATTGCTTGGCCTTTTCCTAACCTGGCTCCTCCTACAATTCTAACCTTCTTGATAAGTGTGGTTACCAGAGTAATAGACTAAATTTGTCCTGGTAGTTAGCATTTTCTAGTAAGACCGATACTATCCCAAGTCTCAAGAGAGGGTGAGAGGAGGGCCCCGAGGTATCCCGTTAGTCCACAAAATCTAGCCAATTTTAGCTAAGTGGACTGATTACCTTCATCACACGCTATCTACTAAGGGTTTACCTGAGAGCCTACAACATGGATAAACGGGTGAGAGGTTCATGGGCCCTGGGAGGACAATCTGAGGTTGATCTTGACTACCACAAGATATTAACAGCCGGGCTTTCAGTCCAACAGGGGATTGTGCGACAAAGAGTCATCCCGGTATATGTCGTGAATGATCTTGAGGGTATTTGTCAACATATCATTCAGGCTTTTGAAGCAGGTGTAGATTTCCAGGATAATGCTGATAGCTTCCTCTTACTTTTATGTTTACATCATGCCTACCAAGGAGATCATAGGCTCTTCCTCAAAAGTGATGCAGTTCAATATTTAGAGGGCCATGGCTTCAGGTTTGAGGTCCGAGAAAAGGAGAATGTGCACCGTCTGGATGAATTGTTGCCCAATGTTACCGGTGGAAAAAATCTCAGGAGAACATTGGCTGCTATGCCCGAAGAGGAGACAACGGAAGCTAATGCTGGTCAGTTTCTATCCTTTGCCAGTTTGTTTCTACCCAAACTTGTCGTTGGGGAGAAAGCGTGCCTGGAAAAAGTACAAAGGCAAATTCAGGTCCATGCAGAACAAGGGCTCATTCAATATCCAACTTCCTGGCAATCAGTTGGACACATGATGGTGATCTTCCGTTTGATGAGGACAAACTTTTTAATCAAGTTTCTACTAATACATCAAGGGATGCACATGGTTGCAGGTCATGATGCGAATGACACAGTAATATCTAATTCTGTTGCCCAGGCAAGGTTCTCTGGTCTTCTGATTGTAAAGACTGTTCTGGATCACATCCTACAAAAAACAGATCTCGGAGTACGACTTCATCCGCTGGCCAGGACAGCAAAAGTGAAGAATGAGGTCAGTTCATTCAAGGCGGCTCTTGGTTCACTTGCCAAGCATGGAGAATATGCTCCGTTTGCACGTCTCCTTAATCTTTCTGGAGTCAACAACTTGGAACATGGGCTTTATCCACAACTTTCAGCCATCGCTTTGGGTGTTGCAACTGCCCACGGGAGTACGCTTGCTGGTGTGAATGTAGGGGAGCAATATCAGCAACTACGTGAGGCTGCTACTGAGGCTGAAAAGCAACTCCAACAATATGCTGAAACACGTGAGTTGGATAACCTTGGGCTTGATGAACAGGAGAAGAAGATTCTTATGAGCTTCCACCAGAAGAAGAATGAGATCAGCTTCCAGCAGACTAATGCAATGGTAACCTTGAGGAAAGAACGGCTGGCTAAATTGACCGAAGCCATCACGACTGCATCGAAGATCAAGGTTGGAGACCGTTATCCTGATGACAATGATATTCCATTTCCCGGGCCGATCTATGATGACACTCACCCCAATCCCTCTGATGATAATACTGATGATTCACGTGATACAACTATTCCAGGTGGTGTTGTTGACCCGTATGATGATGAGAGTAATAATTATCCTGACTACGAGGATTCGGCTGAAGGCACCACAGGAGACCTTGATCTCTTCAATTTGGACGACGACGATGATGACAGCCGACCAGGACCACCAGACAGGGAGCAGAACAAGGAGAGGGCGGCCCGGACATATGGCCTCCAAGATCCGACCTTGGACGGAGCGAAAAAGGTGTCGGAGTTGACCCCAGGTTCCCATCAACCAGGCAACCTCCACATCACCAAGTCGGGTTCAAACACCAACCAACCACAAGGCAATATGTCATCTACTCTCCATAGTATGACCCCTATACAGGAAGAATCAGAGCCCGATGATCAAAAAGATAATGATGACGAGAGTCTCACATCCCTTGACTCTGAAGGTGACGAAGATGGTGAGAGCATCTCTGAGGAGAACACCCCAACTGTAGCTCCACCAGCACCAGTCTACAAAGACACTGGAGTAGACACTAATCAGCAGAATGGACCAAGCAGTACTGTAGATAGTCAAGGTTCTGAAAGTGGAGCTCTCCCAATCAACTCTAAAAAGAGTTCCGCACTAGAAGAAACATATTATCATCTCCTAAAAACACAGGGTCCATTTGAGGCAATCAATTATTATCACCTAATGAGTGATGAACCCATTGCTTTTAGCACTGAAAGTGGCAAGGAATATATCTTTCCAGACTCCCTTGAAGAAGCCTACCCGCCGTGGTTGAGTGAGAAGGAGGCCTTAGAGAAGGAAAATCGTTATCTGGTCATTGATGGCCAGCAATTCTTCTGGCCGGTAATGAGCCTACAGGACAAGTTCCTTGCCGTTCTTCAACATGACTGAGGACCTATGATTGGTGGATCTTGTTTATTCCGAGCCTGATTATAATTGTTCTGATAATTCAAGTATAAGCACCTACCCCGAAATATAAACCCTATCTTAGTTATAAGGAAATTAAATAAATAACCTGTAAGTTATAGGACTACGAAGAGCTGCTTGTGTCAATTTATCATGGGTTGATACCCGTACCGCAAGAATCATTATTTAGTAGTTTTGGTCAGCTTCTGATATGTACCAATAAGAAAACATTATAGCATTAAAACATAAGGTATCTTTCAATGAGCTTAGGAGGATAATATCCTGATAAATTCTATAGAACTTAAGATTAAGAAAAAATCCATGATGAAGATTAAAACCTTCATCATCTTTTAAAAAGAGAGCTATTTCTGATCTAAATGTTCTTATTAATGTCAAAGAGCTATTAGTTTGTATCCTCTTAGCCTAGACGCTGCCTAACATATAAGCCATGCAGCAGGATAAGACTTATAGACATCATGGACCCGAAGTGTCTGGCTGGTTTTCTGAGCAATTAATGACCGGCAAAATACCGCTAACAGAGGTGTTTGTTGACGTTGAAACCAAGCCAAGTCCTACCCCGATAACCATTATTAGTAAGAATCCTAAAACAACGCGTAAAAGTGATAAGCAAGTCCAAACAGATGATGCTAGTAGCTTATTGACAGAAGAGGTCAAGACTGCCATAAATTCGGTGATATCAGCTGTGCGTCGGCAAACCAATGCTATTGAATCACTAGAAAGTCGAATAGCAAACCTTGAGGCCAGCTTAAAACCAGTTCAAGATATGGCAAAGACCATTTCATCCCTGAATCGCAGTTGTGCTGAAATGGTTGCAAAATACGACCTACTGGTGATGACCACTGGACGCGCAACTGCCACTGCTGCAGCAACAGAAGCATATTGGAATGAACATGGACAAGCACCTCCAGGCCCATCATTGTACGAAGATGATGCTATCAAGGCTAAATTGAAAGATCCGAACGGGAGGGTTCCAGAGAGTGTCAAACAGGCCTACACAAATCTGGATAGCACAAGTGCCCTCAATGAGGAAAATTTTGGGCGACCTTACATCTCAGCAAAAGATCTCAAGGAAATCATCTATGATCATCTCCCAGGGTTTGGGACAGCCTTTCATCAGCTGGTGCAGGTTATCTGCAAAATTGGTAAGGATAATAATATCCTAGACATAATCCATGCAGAATTCCAAGCAAGCTTGGCTGAGGGAGACTCCCCCCAATGTGCCTTAATCCAGATAACAAAACGGATCCCTACTTTCCAAGATGCCTCTCCTCCAATCGTGCATATAAAGTCTCGAGGAGATATACCCAAAGCCTGTCAGAAAAGCCTCCGGCCGGTCCCACCATCACCAAAGATCGATAGAGGTTGGGTCTGTATTTTTCAATTTCAAGACGGGAAGACCCTTGGGCTAAAAATATGATACAGAAGCAAGGTAAGCTCATTTTGCGATGACAAAGTGATACTTATGACTGTTTGGAATCAAGTTAGACTCATAGTCTATCACGTCATAAGCTTATAAGTCAGTTAAAAATTTATCCTCTATCCTAATCAATTGATGATGCTGTCAATAGGGAGATTCCCCTGTATTGTAATAAAACCTCATTAACATATCTCCCCTGCTTGGTACTATGTAGAAACCCTTGAATAAATCAAAATTGATGAAGATTAAGAAAAAGAGGGATTTTCTCAGGAAAAATCTTCTTTCTTACCTTCATCTTATTTAGATAAATCTAGGATTTAGGGAAAATGAGAAGGGTTACTGTGCCGACTGCACCACCTGCATATGCTGACATTGGCTATCCTATGAGCATGCTTCCAATCAAGTCAAGCAGGGCTGTAAGTGGAATTCAACAGAAACAAGAGGTCCTTCCTGGAATGGATACACCATCGAACTCTATGAGACCTGTTGCTGATGATAACATTGATCACACAAGTCATACCCCAAACGGAGTGGCCTCAGCATTCATCTTGGAGGCAACTGTCAATGTGATCTCGGGGCCCAAAGTCCTCATGAAACAAATCCCTATTTGGTTGCCACTCGGAATTGCTGACCAAAAAACATACAGCTTTGACTCAACAACAGCAGCAATTATGCTCGCATCCTACACGATCACTCATTTTGGAAAGGCCAACAACCCCCTCGTCAGAGTGAATCGACTTGGTCAAGGAATACCGGATCACCCACTCAGATTGCTCAGGATGGGGAACCAGGCTTTCCTTCAAGAGTTTGTGCTACCACCAGTTCAACTGCCGCAATATTTCACTTTTGATCTGACTGCACTCAAATTAGTGACACAGCCTCTCCCTGCTGCAACATGGACAGATGAGACTCCGAGCAACCTTTCAGGAGCACTCCGTCCAGGGCTCTCATTTCACCCGAAACTGAGACCCGTTCTACTTCCAGGCAAGACGGGAAAGAAAGGGCATGTTTCTGATCTGACCGCCCCAGACAAAATCCAGACAATTGTGAACCTGATGCAAGATTTCAAGATTGTGCCAATCGACCCAGCCAAGAGCATCATTGGGATCGAGGTTCCAGAATTGCTGGTCCACAAGCTCACCGGGAAGAAAATGAGTCAGAAGAACGGACAGCCTATAATTCCTGTCTTACTCCCAAAATACATTGGGCTAGATCCAATCTCGCCCGGAGACCTAACTATGGTCATAACACCAGATTATGATGATTGTCATTCACCCGCCAGTTGCTCTTATCTCAGTGAAAAGTGATTCTCACAAAGTGAGAGAGACACCTCCAGTAAAGAAATCAAATCTTATCTATAGCAACTCAATCGACTTTTGGAAGGCTAGCAGTACATATACTATGGGACAACTCAACCCTCCAGTCAAAATGTACTAATCGGGTCAAGGAACTCTCACTGATCAAGTCTAAATCCAGGATAGAACCAGCCCAAAGGGTCTCCTCCAAGTCTCCCACAAGCTTAGCCAATCAATTTACATGCGTAAGCGATCCATACTTAATCCAATTAGTGTTCGATGCTCACCCCTCCAAGCCTCCTTCCTGGCAAATCAACCTAGCTGTACCAGGAGATTCCCTCAGTCTCCTTCTCAAATGACCTGATACTTGAGGGTTACATCCTCACCAATCTATGCTTATTTAACCCAAACATAAAAAGCAATGCCTTTACATGATTGCACTATTAAGAAAAACAAATTTGATGAAGATTAAGCCTGATTAAGGCCCAACCTTCATCTTTTTACCATAATCTTGTTCTCAATACCATTTAATAGGGGTATACTTGCCAAAGCGCCCCCATCCTCAGGATCTCGCAATGGAGGGTCTTAGCCTACTCCAATTGCCCAGAGATAAATTTCGAAAAAGCTCTTTCTTTGTTTGGGTCATCATCTTATTTCAAAAGGCCTTTTCCATGCCTTTGGGTGTTGTGACCAACAGCACTTTAGAAGTAACAGAGATTGACCAGCTAGTCTGCAAGGATCATCTTGCATCCACTGACCAGCTGAAATCAGTTGGTCTCAACCTCGAGGGGAGCGGAGTATCTACTGATATCCCATCTGCGACAAAGCGTTGGGGCTTCAGATCTGGTGTGCCTCCCAAGGTGGTCAGCTATGAAGCAGGAGAATGGGCTGAAAATTGCTACAATCTTGAAATAAAGAAGCCGGACGGGAGCGAATGCTTACCCCCACCGCCGGATGGTGTCAGAGGCTTTCCAAGGTGCCGCTATGTTCACAAAGCCCAAGGAACCGGGCCCTGCCCGGGTGACTATGCCTTTCACAAGGATGGAGCCTTCTTCCTCTATGACAGGCTGGCTTCAACTGTAATTTACAGAGGAGTCAATTTTGCTGAGGGGGTAATTGCATTCTTGATATTGGCTAAACCAAAGGAAACGTTCCTTCAATCACCCCCCATTCGAGAGGCAGTAAACTACACTGAAAACACATCAAGTTACTATGCCACATCCTACTTGGAGTACGAAATCGAAAATTTTGGTGCTCAACACTCCACAACCCTTTTCAAAATTAACAATAATACTTTTGTTCTTCTGGACAGGCCCCACACGCCTCAGTTCCTTTTCCAGCTGAATGATACCATTCACCTTCACCAACAATTGAGCAACACAACTGGGAAACTAATTTGGACACTAGATGCTAATATCAATGCTGATATTGGTGAATGGGCTTTTTGGGAAAATAAAAAAATCTCTCCGAACAACTACGTGGAGAAGAGCTGTCTTTCGAAACTTTATCGCTCAACGAGACAGAAGACGATGATGCGACATCGTCGAGAACTACAAAGGGAAGAATCTCCGACCGGGCCACCAGGAAGTATTCGGACCTGGTTCCAAAGGATTCCCCTGGGATGGTTTCATTGCACGTACCAGAAGGGGAAACAACATTGCCGTCTCAGAATTCGACAGAAGGTCGAAGAGTAGATGTGAATACTCAGGAAACTATCACAGAGACCACTGCAACAATCATAGGCACTAACGGTAACAACATGCAGATCTCCACCATCAGGACAGGACTGAGCTCCAGCCAAATCCTGAGTTCCTCACCGACCATGGCACCAAGCCCTGAGACTCAGACCTCCACAACCTACACACCAAAGCTACCAGTGATGACCACCGAGGAACCAACAACACCACCGAGAAACTCTCCTGGCTCAACAACAGAAGCACCCACTCTCACCACCCCAGAGAATATAACAACAGCGGTTAAAACTGTTTTGCCACAAGAGTCCACAAGCAACGGTCTAATAACTTCAACAGTAACAGGGATTCTTGGGAGCCTTGGACTTCGAAAACGCAGCAGAAGACAAGTTAACACCAGGGCCACGGGTAAATGCAATCCCAACTTACACTACTGGACTGCACAAGAACAACATAATGCTGCTGGGATTGCCTGGATCCCGTACTTTGGACCGGGTGCAGAAGGCATATACACTGAAGGCCTTATGCACAACCAAAATGCCTTAGTCTGTGGACTCAGACAACTTGCAAATGAAACAACTCAAGCTCTGCAGCTTTTCTTAAGGGCCACGACGGAGCTGCGGACATATACCATACTCAATAGGAAGGCCATAGATTTCCTTCTGCGACGATGGGGCGGGACATGTAGGATCCTGGGACCAGATTGTTGCATTGAGCCACATGATTGGACCAAAAACATCACTGATAAAATCAACCAAATCATCCATGATTTCATCGACAACCCTTTACCCAATCAGGATAATGATGATAATTGGTGGACGGGCTGGAGACAGTGGATCCCTGCAGGAATAGGCATTACTGGAATTATTATTGCAATCATTGCTCTTCTTTGCGTCTGCAAGCTGCTTTGTTGAATATCAACTTGAATCATTAATTTAAAGTTGATACATTTCTAACATTATAAATTATAATCTGATATTAATACTTGAAAATAAGGCTAATGCCAAATTCTGTGCAAAACTTGAAAGTAGGTTTACAAAAATCCTTTGAACTGGAATGCTTTAATGCTCTTTCTCAATACTATATAAGTTCCTTCCCAAAAATAATATTGATGAAGATTAAGAAAAAGTGACATTGTGTCCACTTTTGTAATCTTCATCCACCTAAACATCCGTTGTCAGGAATCTTTGAATCAACCCTTACACTTGCTTAGGAAAGAGCCTGTCCTCGACAAGAATTCCGAGGCGGCAATTCAGTTAATTTAATATCAAGATAACATCCATTTCCAAGGCCACCGCTAGTTATATTATTAACTTTTATCACAAATATGGAGAGGGGTCGTGAGCGCGGGAGATCAAGAAGTTCACGTGCTGACCAGCAAAATTCAACAGGTCCGCAATTTAGGACAAGATCCATTTCCCGGGATAAGACAACAACAGACTACCGTAGTAGTCGAAGCACTTCGCAAGTTAGAGTCCCTACAGTCTTCCATAAGAAAGGTACCGGGACCCTTACTGTCCCTCCAGCACCTAAGGATATCTGTCCTACTCTTAGAAAAGGATTTCTGTGTGATAGCAATTTCTGTAAAAAGGACCACCAACTTGAAAGCCTAACCGACCGGGAGCTCCTGCTTCTTATAGCACGGAAGACCTGTGGATCAACTGATTCATCACTTAATATAGCTGCTCCTAAAGACTTAAGACTGGCAAATCCTACGGCTGATGACTTCAAGCAGGACGGCAGTCCAAAATTAACCCTAAAATTACTAGTAGAAACTGCTGAGTTTTGGGCTAATCAGAATATTAATGAGGTAGATGATGCAAAACTCCGTGCTCTTTTGACGTTGAGTGCTGTTCTAGTGCGGAAATTCTCTAAATCACAACTTAGTCAATTATGTGAGAGTCATCTTAGGAGGGAAAACTTGGGGCAAGACCAAGCTGAATCAGTTCTCGAGGTTTATCAACGTTTACATAGTGATAAAGGTGGTGCTTTCGAGGCAGCACTATGGCAACAGTGGGATAGACAATCATTGACTATGTTTATATCTGCTTTTCTCCATGTAGCATTGCAACTTTCCTGTGAGAGCTCCACCGTAGTGATATCAGGCCTACGCTTACTTGCCCCTCCAAGCGTGAATGAAGGGCTCCCTCCTGCACCAGGAGAATATACTTGGTCAGAAGATAGTACAACTTAGTCCGTAGGGAGGACAAGTCAAATAAGATATCCTTATCCTCTATAGGAGGTATTTTTTAAGAGGGGGACAGGATATGAATAAGGATAACGACTAAAGCCAATATAAAGATAAGAACACAAATAGGAATTAAAATAGAAATCAAAACAATCTCCCCTTATTAAATATGAAACACAATGGTGAGTATTTGTTTCCTGATATTAATCATTTATTGTTAAAAATAAACAAAGTCAGTAAGAGTGTTAGGATCATTATATTGTAAGGATCTTCCCTTGAAGCGTTGAATCATCTCAAGTAGCCCAGAACCAAAACAGTAGAGCATTAAATTGTAATAGATAATAGGGACATTACTTGTTTTTAAGATAATTTTGGGAAGTTTAAAATTAAGAAAAAGAACCCATGGACACACTCTAACATTGAGGATAGGGTTTCCTTGATGATAGTCTAGTCTTAGGTACAGGGTAGTCCTACACGCCCTATATTATACAATCTAAACTTGTAAAATTGAACTACAAAAACATGATGAAAATTAATGAGAAGGTTCCAAGATTGACTTCAATCCAAACACCTTGCTCTGCCAATTTTCATCTCCTTAAGATATATGATTTTGTTCCTGCAAGATAAGGGCATCAAACAGGGTGTGTAGCTCTTTCACATATTTGGGCTCCTACTGGGCTAGGGTTTATAGTTAAGGAAGACTCACCTCATTTCTCATTGAACTATTCTACTCGTAGGATCCTACTGGGAATATAAATCAGAACATCTGTGACACTTTGACTATAGGAAATAATTTTCAAAACTACCTGAGATCGGGTCATTTCTCCAACTCATTCTGCAAGTAATTGTTTAGCATCATAACAACAGCGTTATAATTTAAAAATCAAGTCTTGTAACAAAAATAAGGATAACAGAAAGAACCCTTCTTATACGGGTTCACTAATTTTGTAGGAGAAGCTCCTTTTGCAAGCCTAAGATTCCATTAGAGATAACCAGAATGGCTAAAGCCACAGGCCGGTACAACTTGGTAACACCAAAACGGGAGCTAGAGCAAGGAGTTGTATTTAGCGACCTATGCAACTTCCTAGTGACTCCAACTGTGCAAGGATGGAAGGTTTACTGGGCTGGACTTGAGTTTGATGTCAACCAAAAGGGTATTACCCTGTTAAATCGTCTTAAAGTGAATGATTTTGCTCCTGCATGGGCGATGACCCGGAACCTTTTCCCACACTTGTTCAAAAACCAACAGTCTGAAGTCCAAACTCCCATTTGGGCCTTGAGGGTAATTCTTGCCGCCGGGATTCTTGACCAATTAATGGATCATTCCCTCATCGAGCCACTATCAGGGGCCCTGAACTTGATTGCTGATTGGTTACTAACAACATCTACTAATCACTTCAACATGAGAACGCAACGAGTGAAGGACCAACTGAGCATGAGGATGTTATCTCTTATAAGGTCAAATATTATTAACTTTATAAATAAGCTCGAAACTCTTCATGTTGTTAATTACAAGGGACTTCTAAGCAGTGTTGAGATAGGAACACCAAGCTATGCAATCATAATTACTAGAACTAATATGGGCTATCTTGTCGAAGTTCAGGAACCAGATAAATCTGCGATGGATATACGACACCCTGGTCCTGTCAAGTTCTCTCTACTGCATGAATCGACCCTCAAACCTGTTGCCACTTCTAAACCGTCAAGCATTACTTCATTGATCATGGAGTTCAATAGTTCTTTGGCAATTTAATTGCCATAACAAAGATTGTATGATAGGGCTAATATTGATTCAATAATCTATCGTAGGACAGAATCATTTCCCTGTATGATCTCAGTTTAATCTCTCTTTATGCAATAATTAATAAGGAGCTTGTTTAAAACGTTACAAAAGTATAATGTTTGAATCTCTAGTATCCCTGTAAATATTTTCATTCAATTGTCAGCCCTTACATGTGTAGTCACTTGTGTAGCATGACACTAGTTTTGCCTTCAATTAATATCTAACCTAACAGTCAATATAATGTATAACTTTCTATGTTTAAAGAGTAGTCAAAACAATGTGAGATCCAGTTTCACTCACAGCATCTATTCAATATTTACAGTATGATGAGTCCGAATTAACACAGTAGAGGTCTAGGTGTATTAACAGAACGAGGAAGATTAAGAAAAAGTCCATAATGCTGGGTGGGCAATCCTTGCCACCATAGGACTTTTTCAATTCCTCTACTTTATGATGGCTACCCAACATACACAATATCCTGATGCAAGATTGTCTTCCCCAATCGTTTTAGACCAATGTGACCTAGTGACAAGAGCATGCGGACTGTACTCTGAGTATTCGCTGAACCCTAAACTAAGAACATGCCGCTTGCCGAAACATATCTATAGATTAAAATATGACGCCATTGTTTTAAGATTTATCAGTGATGTCCCTGTAGCTACAATCCCAATAGATTACATTGCTCCAATGTTAATAAATGTTCTGGCAGATAGTAAAAATGCACCATTAGAACCTCCCTGTTTGAGCTTCCTAGATGAGATAGTCAATTATACTGTGCAGGATGCGGCATTCCTTAATTATTACATGAATCAGATTAAAACACAGGAAGGAGTAATTACAGATCAATTAAAACAGAACATTCGTAGGGTCATTCACAAAAACAGATATTTATCTGCTCTATTTTTCTGGCATGATCTCTCCATCCTCACCCGTCGAGGGAGAATGAACCGAGGAAATGTGCGCTCCACTTGGTTTGTAACGAATGAGGTTGTTGATATCCTAGGATATGGTGATTATATTTTCTGGAAGATCCCTATTGCTCTATTACCAATGAACACAGCTAATGTTCCTCATGCATCGACTGACTGGTACCAACCTAATATCTTCAAGGAGGCTATTCAAGGACACACACATATTATTTCAGTCTCTACAGCCGAGGTTCTTATTATGTGTAAGGATCTTGTCACAAGTCGTTTTAACACCCTTCTGATTGCTGAGTTAGCCAGGTTGGAAGATCCAGTGTCCGCTGATTATCCACTGGTAGATGATATTCAATCTCTGTATAATGCAGGAGACTACTTGTTGTCCATATTGGGATCGGAGGGGTACAAAATAATCAAGTATCTCGAGCCTCTGTGTTTGGCTAAGATTCAACTATGTTCCCAATATACAGAACGAAAAGGGCGGTTTTTAACCCAGATGCATCTTGCAGTTATTCAAACATTGCGTGAACTTCTCCTTAATAGAGGGTTGAAAAAATCACAGCTTTCTAAAATCCGTGAGTTCCACCAACTGTTGCTCAGACTTCGATCTACACCACAACAATTATGTGAATTATTTTCAATCCAAAAGCACTGGGGCCATCCAGTTCTGCATAGTGAAAAGGCCATACAAAAGGTTAAAAATCATGCAACAGTTCTAAAGGCATTGCGTCCGATTATCATCTTTGAAACGTACTGTGTATTCAAGTACAGTGTTGCAAAACATTTCTTTGATAGCCAAGGCACTTGGTACAGTGTGATATCAGACCGATGTTTAACGCCGGGATTGAATTCCTACATTAGGCGAAATCAATTCCCACCACTTCCAATGATCAAAGATCTTCTATGGGAATTTTACCATTTGGATCATCCTCCATTATTCTCCACGAAGATCATTAGTGATCTCAGCATTTTCATTAAAGACCGTGCAACAGCAGTTGAACAAACCTGTTGGGATGCAGTTTTCGAGCCTAACGTTTTGGGCTACAGTCCACCTTATCGATTCAACACCAAACGTGTACCAGAACAATTCCTGGAGCAAGAGGATTTTTCTATTGAGAGTGTCTTACAATACGCCCAAGAACTTAGGTACCTATTGCCCCAGAATCGAAATTTTTCTTTTTCATTGAAAGAAAAAGAATTAAATGTTGGTAGGACATTTGGAAAATTGCCTTATTTAACTAGGAATGTCCAAACCCTCTGCGAAGCATTACTTGCAGATGGTTTGGCTAAAGCCTTTCCAAGCAACATGATGGTTGTCACAGAGAGGGAACAAAAGGAGAGCCTCCTTCACCAAGCATCTTGGCATCATACGAGTGATGATTTCGGAGAGCATGCCACAGTTCGCGGGAGTAGTTTTGTCACAGACCTAGAGAAATATAATCTGGCTTTCAGGTATGAATTCACAGCTCCCTTCATCAAATATTGCAACCAATGCTATGGGGTTCGCAATGTCTTTGATTGGATGCACTTCCTAATTCCGCAATGTTACATGCATGTTAGTGATTATTATAACCCACCACATAATGTAACTTTAGAGAATAGGGAATATCCTCCCGAAGGACCAAGTGCTTATCGAGGCCACCTTGGTGGTATTGAGGGGCTTCAACAAAAGTTATGGACTAGCATCTCATGTGCTCAAATTTCATTGGTAGAGATCAAGACCGGATTCAAATTGCGATCAGCAGTCATGGGGGATAATCAATGTATCACAGTATTATCAGTCTTTCCACTAGAATCCAGTCCGAATGAGCAAGAGAGATGTGCAGAAGACAATGCAGCCAGAGTAGCTGCTAGCTTGGCCAAAGTCACAAGTGCCTGTGGGATATTCCTCAAGCCTGATGAGACTTTCGTACACTCAGGCTTTATCTATTTTGGCAAAAAGCAATACTTAAACGGAATTCAATTGCCTCAATCACTCAAGACAGCAGCTAGGATGGCCCCTCTCTCAGATGCAATTTTTGATGACTTGCAGGGTACACTTGCCAGTATAGGAACTGCCTTTGAGCGATCAATCTCCGAAACTAGACATATTTTACCATGTCGTGTTGCAGCTGCCTTTCATACATATTTCTCTGTTCGGATCTTACAACATCATCACCTTGGCTTCCATAAAGGTTCAGACCTTGGACAATTGGCAATCAATAAACCTCTTGATTTTGGGACCATTGCACTATCCTTAGCAGTTCCCCAGGTACTGGGTGGATTATCCTTCCTAAATCCAGAAAAATGTCTTTATCGCAACCTGGGTGACCCTGTGACTTCAGGCCTATTCCAGTTGAAGCATTATCTATCAATGGTAGGTATGAGTGATATCTTTCACGCACTTGTTGCAAAAAGTCCAGGGAATTGTAGCGCAATTGACTTTGTTCTAAACCCAGGAGGGTTAAATGTCCCTGGATCACAGGATCTAACATCTTTCCTTCGTCAGATTGTCAGAAGGAGTATCACACTTTCGGCAAGGAATAAGTTAATCAACACGCTGTTTCATGCCTCTGCAGATCTTGAAGATGAATTAGTTTGTAAATGGTTACTTTCTTCAACGCCCGTCATGAGCCGTTTCGCAGCCGATATTTTCTCACGAACACCAAGCGGGAAAAGATTACAAATCTTGGGATATCTCGAGGGAACCAGAACTTTATTAGCATCTAAAATGATAAGCAATAATGCAGAGACACCAATCTTAGAGAGACTCAGAAAGATAACACTTCAAAGATGGAATTTATGGTTTAGTTACCTAGACCATTGTGACTCAGCTTTAATGGAAGCAATTCAACCAATTAGGTGTACTGTTGATATTGCTCAAATTCTTAGAGAATACTCCTGGGCTCATATTCTTGACGGTAGACAGTTAATAGGGGCAACATTGCCATGTATACCTGAGCAGTTCCAAACCACATGGTTAAAACCTTACGAGCAATGTGTGGAATGTTCATCCACAAACAATTCTAGTCCATATGTATCAGTTGCATTAAAAAGGAACGTGGTCAGCGCTTGGCCTGACGCATCTAGATTGGGGTGGACGATTGGTGATGGGATTCCCTATATAGGCTCAAGAACTGAGGACAAGATAGGTCAGCCCGCTATTAAGCCGAGGTGCCCATCAGCTGCATTGAGGGAAGCTATTGAATTGACCTCTAGGTTAACCTGGGTCACTCAAGGTAGTGCAAATAGCGATCAGTTAATTCGTCCTTTTCTTGAGGCAAGAGTGAATTTGAGTGTACAAGAAATTCTTCAAATGACACCCTCACATTATTCCGGTAATATTGTGCATCGGTATAATGATCAGTATAGCCCTCACTCCTTTATGGCCAACCGCATGAGTAACACAGCAACGCGCTTGATGGTATCTACAAACACACTAGGAGAGTTCTCCGGAGGGGGCCAAGCTGCACGTGATAGCAACATTATATTCCAAAATGTGATTAATTTTGCAGTAGCCTTGTATGACATTAGGTTTCGGAACACCTGTACATCCTCTATTCAATATCACAGGGCTCATATTCACCTGACAGATTGTTGTACGAGGGAAGTACCAGCCCAATACTTAACATACACAACCACGCTAAATCTAGATTTGAGTAAGTATCGTAATAATGAACTGATTTATGATTCAGAGCCACTAAGAGGAGGTCTAAACTGCAACTTATCGATTGACAGTCCTTTGATGAAGGGCCCACGTTTAAATATTATTGAGGATGACTTAATACGGTTGCCACATTTATCCGGTTGGGAATTAGCAAAAACAGTTTTGCAATCCATAATTTCTGATAGTAGCAATTCATCAACAGATCCCATTAGCAGCGGTGAAACAAGATCCTTTACAACCCACTTCTTAACGTATCCTAAAATAGGGCTCTTATACAGTTTTGGAGCCCTCATAAGTTTTTATTTGGGTAATACTATCTTGTGCACGAAAAAGATCGGACTTACAGAATTTCTATACTATCTCCAGAACCAGATCCACAACTTATCACATAGATCCCTTCGAATCTTCAAACCGACATTCAGACACTCAAGTGTCATGTCTAGGTTGATGGATATAGACCCCAACTTCTCAATATATATTGGTGGGACTGCAGGTGATCGTGGATTATCGGATGCTGCAAGATTATTTCTCCGAATCGCAATTTCAACTTTCTTGAGCTTTGTTGAGGAGTGGGTTATCTTTAGGAAGGCAAACATTCCACTATGGGTTGTCTATCCTCTCGAAGGCCAACGCCCTGATCCTCCTGGTGAATTTTTAAACCGAGTAAAATCTTTAATTGTTGGGATTGAGGATGATAAAAATAAAGGCTCTATACTTTCAAGATCTGAAGAGAAGTGCTCTTCAAATCTAGTTTATAATTGCAAAAGTACAGCAAGCAATTTTTTCCACGCATCATTGGCTTATTGGAGAGGTCGACATAGACCTAAGAAGACTATAGGTGCAACTAAAGCGACAACAGCTCCACACATCATTTTGCCGCTAGGAAATTCTGATCGACCGCCTGGCCTAGATCTTAATCAGAGCAATGATACTTTTATTCCTACCAGAATTAAACAGATAGTCCAAGGAGACTCTAGAAATGACAGAACAACCACCACGAGACTTCCACCCAAAAGTAGGTCCACCCCAACATCAGCAACCGAGCCTCCTACAAAAATATATGAGGGTTCGACAACCTATCGAGGAAAATCAACAGATACACATTTGGATGAGGGTCATAATGCCAAAGAGTTCCCATTCAATCCACATCGTTTAGTAGTACCATTTTTTAAATTAACAAAAGATGGGGAATACAGTATCGAACCTTCCCCTGAAGAAAGCCGCAGTGATATAAAAGGGTTACTTCAACATTTAAGAACCATGGTTGATACTACCATATATTGTCGCTTCACTGGGATTGTTTCATCAATGCATTATAAATTAGATGAAGTACTATGGGAATATAATAAATTTGAATCAGCTGTAACCCTAGCAGAGGGGGAGGGTTCAGGTGCTTTACTACTGATCCAAAAATACGGCGTTAAGAAGTTATTTTTGAATACACTTGCTACTGAACATAGTATTGAGAGTGAAGTGATATCAGGTTACACCACCCCAAGAATGCTACTCTCAGTTATGCCTAGAACACATCGTGGTGAGCTAGAGGTCATATTAAATAACTCAGCTAGTCAAATAACTGATATTACACACCGAGATTGGTTTTCAAATCAAAAAAATAGGATTCCAAATGATGTTGATATTATTACCATGGATGCTGAAACTACAGAAAATTTAGATCGTTCAAGATTATATGAAGCAGTATATACGATTATTTGTAATCATATCAATCCTAAAACTTTAAAAGTGGTCATCTTAAAAGTCTTCCTCAGCGATTTGGATGGGATGTGCTGGATTAACAATTATCTTGCTCCTATGTTTGGATCAGGATACTTAATCAAACCTATAACATCAAGTGCAAGGTCAAGTGAGTGGTATTTATGCTTATCTAATCTACTTTCAACTTTGAGAACTACTCAGCATCAAACCCAAGCAAACTGTCTTCATGTCGTACAATGTGCTCTTCAACAGCAAGTTCAAAGAGGGTCATATTGGCTAAGTCATCTCACCAAATACACCACAAGTAGATTGCACAATAGTTATATTGCATTTGGTTTTCCTTCGTTAGAGAAGGTCCTATATCATAGATATAATCTTGTTGATTCGAGAAATGGACCATTGGTTTCTATCACAAGACACCTTGCCCTCCTCCAAACTGAGATCCGGGAGTTGGTAACTGATTATAATCAGCTGCGACAAAGTCGAACCCAGACTTATCATTTCATAAAAACATCCAAGGGACGGATAACTAAACTAGTGAATGATTATCTAAGATTTGAGTTGGTTATACGGGCTCTTAAAAATAATTCTACATGGCACCATGAGTTGTACTTACTACCAGAACTTATAGGTGTTTGCCATCGATTTAATCATACACGCAACTGTACATGCAGTGAAAGGTTCCTGGTTCAAACCTTATATCTACACCGGATGAGTGATGCTGAGATAAAACTTATGGACCGGCTCACCAGCCTAGTCAATATGTTTCCCGAAGGTTTCAGGTCTAGTTCAGTCTAATTCTAACTGCATCTCAGGTTCTAGAAGTATTTTAAATAACCAGGTATATATCAAAATCAATATAAGTGTAAGAACAATATGCAAGGGACCACATTTGGCATTAGTTTATTGACTCTTCCAATATACAGCGTTGGAAGCATCGATTCAAGGTTTCGAAGACACTCTATTGATTATGTTGATAATGTAAATAATAATTTTTCCTAGCTATTATGACTAAAATAAACAAATCTATAACGAACATCACAACCAAATTGTTGCCCTAGTTCATATATTAAATTCAAATTTAGAAGCTAGGTTGACTCCAGTTACATAAGTATTAAGAAAAAATTACTAAGACTAATACTCTTATGCTAAGAACTAGTAATATGTTTCACATGACAGGTTATTTCTGATACTAAATTGCAATTTCACTTTTAAAGCTAAGTTTAATACTTATACAGCCAAAATATTTCCTAGGGCCGGTGGGAATAACATAAGAAGAACACGGTCAATGAACCTTTTATTCCAACCAGGTAGTTGATTGATAATCTACAAATTCCATAAGATGTTCTTACGACATTTTTTTGTTTTTAATCTCAATGTCAATGATTTAATTAGTAGTAAGAAAAAAGTTACATTAGAGGTGCAGGAAGATCTTAACCTCACCAGGAAAATTAAGCGCACACAAATAAATTAAAAAATCTGTATTTTCTCTTTTTTGTGTGTCCA >Sudan_ebolavirus_-_Nakisamata_complete_genome CGGACACACAAAAAGAAAGAAAAGTTTTTTAGACTTTTTGTGTGCGAATAACTATGAGGAAGATTAATCATTTTCCTCAAACTCAAACTAATATTAACATTGAGATTGATCTCATCATTTACCAATTGGAGACAATTTAACTAGTCAATCCCCCATTTGGGGGCATTCCTAAAGTGTTGCAAAGGTATGTGGGTCGTATTGCTTTGCCTTTTCCTAACCTGGCTCCTCCTACAATTCTAACCTGCTTGATAAGTGTGATTACCTGAGTAATAGACTAATTTCGTCCTGGTAATTAGCATTTTCTAGTAAAACCGATACTATCTCAAGTCCTAAGAGAAGGTGAGAAGAGGGTCCCGAGGTATCCCTCCAGTCCACAAAATCTAGCTAATTTTAGCTGAGTGGACTGATTACTCTCATCACACGCTAACTACTAAGGGTTTACCTGAGAGCCTACAACATGGATAAACGGGTGAGAGGTTCATGGGCCCTGGGAGGACAATCTGAAGTTGATCTTGACTACCACAAAATATTAACAGCCGGGCTTTCGGTCCAACAAGGGATTGTGCGACAAAGAATCATCCCGGTATATGTTGTGAGTGATCTTGAGGGTATTTGTCAACATATCATTCAGGCCTTTGAAGCAGGCGTAGATTTCCAAGATAATGCTGACAGCTTCCTTTTACTTTTATGTTTACATCATGCTTACCAAGGAGATCACAGGCTCTTCCTCAAAAGTGATGCAGTTCAATACTTAGAGGGCCATGGTTTCAGGTTTGAGGTCCGAGAAAAGGAGAATGTGCACCGTCTGGATGAATTGTTGCCCAATGTCACCGGTGGAAAAAATCTTAGGAGAACATTGGCTGCAATGCCTGAAGAGGAGACAACAGAAGCTAATGCTGGTCAGTTTTTATCCTTTGCCAGTTTGTTTCTACCCAAACTTGTCGTTGGGGAGAAAGCGTGTCTGGAAAAAGTACAAAGGCAGATTCAGGTCCATGCAGAACAAGGGCTCATTCAATATCCAACTTCCTGGCAATCAGTTGGACACATGATGGTGATCTTCCGCTTGATGAGAACAAACTTTTTAATCAAGTTCCTACTAATACATCAGGGGATGCACATGGTCGCAGGCCATGATGCGAATGACACAGTAATATCTAATTCTGTTGCCCAAGCAAGGTTCTCTGGTCTTCTGATTGTAAAGACTGTTCTGGACCACATCCTACAAAAAACAGATCTTGGAGTACGACTTCATCCACTGGCCAGGACAGCAAAAGTCAAGAATGAGGTCAGTTCATTCAAGGCAGCTCTTGGCTCACTTGCCAAGCATGGAGAATATGCTCCATTTGCACGTCTCCTCAATCTTTCTGGAGTCAACAACTTGGAACATGGGCTTTATCCACAACTCTCAGCCATTGCTTTGGGTGTTGCAACTGCCCACGGGAGCACGCTGGCTGGTGTTAATGTAGGGGAGCAATATCAGCAACTGCGTGAGGCTGCTACTGAAGCTGAAAAGCAACTCCAACAATATGCTGAAACACGTGAGTTGGACAACCTTGGGCTTGATGAACAGGAAAAGAAGATTCTCATAAGCTTCCACCAGAAGAAGAATGAGATCAGCTTCCAGCAAACTAACGCAATGGTAACCTTGAGGAAAGAGCGGCTGGCCAAGCTGACCGAAGCCATCACGACTGCATCAAAGATCAAGGTTGGAGATCGTTATCCTGATGACAATGATATTCCATTTCCCGGGCCGATCTATGATGAAACCCACCCCAACCCTTCTGATGATAATCCTGATGATTCACGTGATACAACTATCCCAGGTGGTGTTGTTGACCCGTATGATGATGAGAGTAATAATTATCCTGACTACGAGGATTCGGCTGAAGGCACCACAGGAGATCTTGATCTCTTCAATTTGGACGACGACGATGACGACAGCCAACCAGGACCACCAGACAGGGGGCAGAGCAAGGAGAGAGCAGCTCGGACACATGGCCTCCAAGATCCGACCTTGGACGGAGCGAAAAAGGTGCCGGAGTTGACCCCAGGTTCTCACCAACCAGGCAACCTCCACATCACCAAGCCGGGTTTAAACACCAACCAACCACAAGGCAATATGTCATCTACTCTCCAGAGTATGACCCCTATACAGGAAGAATCAGAGCCCGATGATCAGAAAGATGATGATGACGAGAGTCTCACATCTCTTGACTCTGAAGGTGACGAAGATGTTGAGAGCGTATCAGGGGAGAACAACCCAACTGTAGCTCCACCAGCACCAGTCTACAAAGATACTGGAGTAGACACTAATCAGCAAAATGGACCAAGCAATGCTGTAGATGGTCAAGGTTCTGAAAGTGAAGCTCTCCCAATCAACCCCGAAAAGAGATCTGCACTGGAAGAAACATATTATCATCTCCTAAAAACACAGGGTCCATTTGAGGCAATCAATTATTATCACCTAATGAGTGATGAGCCCATTGCTTTTAGCACTGAAAGTGGCAAGGAATATATCTTCCCAGATTCTCTTGAAGAAGCCTACCCGCCTTGGTTGAGTGAGAAGGAGGCCTTAGAGAAAGAAAATCGTTATCTGGTCATTGATGGCCAGCAATTCTTCTGGCCAGTAATGAGCCTACAGGACAAGTTCCTTGCTGTTCTTCAACATGACTGAGGACCCATGATTAGTAGATTTTGTTTATTCTGAGCTTGATTATAATTGTTTTGATAATTCAAGTATGAGCACCCAACCCGAAATATAAACCCTATTTTAGTTATGAGGAAATTAAATAAATAATCTGTAAGTTGTAGGACTATGAAGAGCTGCTTGTGTCAATTTATCACGGGTTAATACCCATACCGCAAGAATAATTATTTAGTAATTTTGATCAGCTTATGATATGTACCAATAGGAAAACATTATAGCATTAAAACATAAAGTATCCTTCGATGAGCTTAGGAGGATAATATCCTGATGAATTCTATAGAACTTAGGATTAAGAAAAAATTCATGATGAAGATTAAAACCTTCATCATCCTTTAAAAAGAGAGCTATTCTTTATCTGAATGTCCTTATTAATGTCTAAGAGCTATTATTTTGTACCCTCTTAGCCTAGACACTGCCCAACATATAAGCCATGCAGCAGGATAGGACTTATAGACATCATGGACCCGAAGTGTCTGGCTGGTTTTCTGAGCAGTTAATGACCGGCAAAATACCGCTAACAGAGGTGTTTGTTGATGTTGAAAACAAACCAAGTCCTGCCCCGATAACCATTATTAGTAAGAATCCCAAGACAACACGTAAAAGTGATAAGCAAGTCCAAACAGATGATGCCAGTAGCTTATTGACAGAAGAAGTCAAGGCTGCCATAAATTCGGTGATATCAGCTGTGCGTCGGCAAACCAATGCCATTGAATCACTAGAAGGTCGAGTAACAACTCTTGAGGCCAGCTTAAAACCAGTTCAAGACATGGCAAAGACCATATCATCCCTGAATCGCAGCTGTGCCGAAATGGTTGCAAAATACGACCTACTGGTGATGACCACTGGGCGAGCAACTGCCACTGCTGCAGCAACAGAAGCATATTGGAGTGAACATGGACAAGCACCTCCAGGCCCATCATTGTACGAGGATGATGCTATTAAGGCTAAATTGAAAGATCCGAACGGGAAGGTTCCAGAAAGTGTCAAACAGGCCTACACAAATCTAGATAGCACAAGTGCCCTCAATGAGGAAAATTTCGGGCGACCTTACATTTCAGCAAAAGATCTCAAGGAAATCATCTATGACCATCTCCCAGGATTTGGGACAGCTTTTCATCAGTTGGTGCAGGTTATCTGCAAAATTGGTAAGGATAATAATATCCTAGACATAATTCATGCAGAATTCCAAGCAAGCTTGGCTGAGGGGGACTCCCCCCAGTGTGCATTAATCCAGATAACAAAACGGATCCCTGCTTTCCAAGATGCCTCTCCTCCAATTGTGCATATCAAGTCTCGAGGAGATATACCCAAAGCCTGTCAGAAAAGCCTCCGGCCGGTCCCACCGTCACCAAAGATCGATAGAGGTTGGGTCTGTATTTTTCAATTCCAAGACGGGAAGGCCCTTGGGCTAAAAATATGATACAGAAGCAAGGTAAGCTCATTTTGCGATGGCCAAATGATACTTATGACTGTTCAAAATCAAGTTAGACTAATAGTCTATCATGTCATAAGCTTATAAGTCAGTTTTAAATTTCCTCTCTATCCTAATCAATTGATAATGCTGTCAATAGGGAAATTCCCCTGTATTGTAATAAAACCTCATTAACATATTTCCCCTGCTTAGTACTATGCAGAAACCCCCGAGCAAATTAAAATTGATGAAGATTAAGAAAAAGAGGGATTTTCTCAGGAAAAATCTTTTTTCTTACCTTCATCTCATTTAAACAAATTTAGGACTCAGGAAAAATGAAAAGGGTCACTGTGCCGACTGCACCACCTGCCTATGCTGACATTGGCTATCCTATGAGCATGCTTCCCATCAAGTCAAGCAGGGCTGTGAGTGGAATTCAACAGAAACAAGAGGTCCTTCCTGGAATGGATACACCATCAAATTCTATGAGACCTGTTGCTGATGATAACATTGATCATACAAGTCATACCCCGAACGGAGTGGCCTCAGCATTCATCTTGGAGGCAACTGTCAATGTGATCTCGGGGCCCAAAGTCCTCATGAAACAAATCCCTATTTGGTTGCCACTCGGAATTGCTGACCAAAAAATGTACAGTTTTGACTCAACAACAGCAGCAATTATGCTCGCATCTTATACGATCACCCATTTTGGAAAGGCCAACAACCCCCTCGTTAGAGTGAATCGACTTGGTCAGGGAATACCGGATCACCCACTCAGATTGCTCAGGATGGGGAACCAGGCTTTCCTTCAAGAGTTTGTGCTACCACCAGTTCAACTGCCGCAATATTTCACTTTTGATCTGACTGCACTCAAATTAGTGACACAGCCTCTCCCTGCTGCAACATGGACAGATGAGACTCCGAGCAACCTTTCAGGAGCACTTCGTCCCGGGCTTTCATTTCACCCAAAGCTGAGACCCGTTCTACTTCCAGGCAAAACGGGAAAGAAAGGGCATGTTTCTGATCTGACTGCCCCAGACAAAATTCAGACAATTGTGAACCTGATGCAAGATTTCAAAATCGTGCCAATTGATCCAGCTAAGAGTATCATTGGGATCGAGGTTCCAGAATTGCTGGTCCACAAGCTCACCGGGAAGAAAATGAGTCAGAAGAATGGACAGCCTATAATTCCTGTCTTACTTCCAAAATACATCGGGCTAGATCCAATCTCACCTGGAGACCTGACTATGGTCATAACACCAGATTATGATGATTGTCATTCACCTGCCAGTTGCTCTTATCTCAGTGAAAAGTGATTCTCACAAAGTGAGAGAAACACCTCCAGTAAAGAAATCAAATCTTATCTATAGCAACTCAATCGACTTTTAGGAAGCTAGCAGTACATATACTATGGGACAACTCAACCCTCTTGTTAAAATGTACTAATCGGTTCAAGGAACTCTCACTGATCAAGCCTGAATCCAAGACAGAACCAGACCAAAGGGCCTCCCCAGAGTCTCTTACAAGCTTAGCCAATCAATTAACATGCATAAGCGATCCATACTTCGCCCAATCAGTGTCCGATGTTCACCCCTTCAAGCCTCCTTCCTAGCAAATTGACCTAGCTGTACCAAGAGATTCCCTCAGCCTCCTTCTCAAATAACCTGATCCTTGAGGGTTATACCTTCACCACTCTATGCTCATTTCACCCAAACATAAAATGAAATGTCTTAACATGATTGCACCATTAAGAAAAACAAATCTGATGAAGATTAAGCCTGATTAAGGCCCAACCTTCATCTTTTTACCATAATCTTGTTCTCAGTACCATTTGATAAGGGTACACTTGCCAAAACGCCCCCATCCTAAGGGTCTCGCAATGGGGGGTCTTAGCCTACTCCAATTGCCCAGGGACAAATTTCGGAAAAGCTCTTTCTTTGTTTGGGTCATCATCTTATTCCAAAAGGCCTTTTCCATGCCTTTGGGTGTTGTGACTAACAGCACTTTAGAAGTAACAGAGATTGACCAGCTAGTCTGCAAGGATCATCTTGCATCTACTGACCAGCTGAAATCAGTTGGTCTCAACCTCGAGGGGAGCGGAGTATCTACTGATATCCCATCTGCAACAAAGCGTTGGGGCTTCAGATCTGGTGTTCCTCCCAAGGTGGTCAGCTATGAAGCGGGAGAATGGGCTGAAAATTGCTACAATCTTGAAATAAAGAAGCCGGACGGGAGCGAATGCTTACCCCCACCGCCAGATGGTGTCAGAGGCTTTCCAAGGTGCCGCTATGTTCACAAAGCCCAAGGAACCGGGCCTTGCCCAGGTGACTACGCCTTTCATAAGGATGGAGCTTTCTTCCTCTATGACAGGCTGGCTTCAACTGTAATTTACAGAGGAGTCAATTTTGCTGAGGGGGTAATTGCATTCTTGATATTGGCTAAACCAAAAGAAACGTTCCTTCAGTCACCCCCCATTCGAGAGGCAGTAAACTACACTGAAAATACATCAAGTTATTATGCCACATCCTACTTGGAGTATGAAATCGAAAATTTTGGTGCTCAACACTCCACGACCCTTTTCAAAATTGACAATAATACTTTTGTTCGTCTGGACAGGCCCCACACGCCTCAGTTCCTTTTCCAGCTGAATGATACCATTCACCTTCACCAACAGTTGAGTAATACAACTGGGAGACTAATTTGGACACTAGATGCTAATATCAATGCTGATATTGGTGAATGGGCTTTTTGGGAAAATAAAAAAATCTCTCCGAACAACTACGTGGAGAAGAGCTGTCTTTCGAAGCTTTATCGCTCAACGAGACAGAAGACGATGATGCGGCATCGTCGAGAATTACAAAGGGAAGAATCTCCGACCGGGCCACCAGGAAGTATTCGGACCTGGTTCCAAAGAATTCCCCTGGGATGGTTCCATTGCACATACCAGAAGGGGAAACAACATTGCCGTCTCAGAATTCGACAGAAGGTCGAAGAGTAGGTGTGAATACTCAGGAGACCATCACAGAGACAGCTGCAACAATTATAGGCACTAACGGCAATCATATGCAGATCTCCACCATCGGGATGAGACCGAGCTCCAGCCAAATCCCGAGTTCCTCACCGACCACGGCACCAAGCCCTGAGGCTCAGACCCCCACAACCCACACATCAGGTCCATCAGTGATGGCCACCGAGGAACCAACAACACCACCGGGAAGCTCCCCCGGCCCAACAACAGAAGCACCCACTCTCACCACCCCAGAAAATATAACAACAGCGGTTAAAACTGTCCTGCCACAGGAGTCCACAAGCAACGGTCTAATAACTTCAACAGTAACAGGAATTCTTGGGAGTCTTGGGCTTCGAAAACGCAGCAGAAGACAAACTAACACCAAAGCCACGGGTAAGTGCAATCCCAACTTACACTACTGGACTGCACAAGAACAACATAATGCTGCTGGGATTGCCTGGATCCCGTACTTTGGACCGGGTGCGGAAGGCATATACACTGAAGGCCTGATGCATAACCAAAATGCCTTAGTCTGTGGACTTAGGCAACTTGCAAATGAAACAACTCAAGCTCTGCAGCTTTTCTTAAGAGCCACAACGGAGCTGCGGACATATACCATACTCAATAGGAAGGCCATAGATTTCCTTCTGCGACGATGGGGCGGGACATGCAGGATCCTGGGACCAGATTGTTGCATTGAGCCACATGATTGGACAAAAAACATCACTGATAAAATCAACCAAATCATCCATGATTTCATCGACAACCCCTTACCTAATCAGGATAATGATGATAATTGGTGGACGGGCTGGAGACAGTGGATCCCTGCAGGAATAGGCATTACTGGAATTATTATTGCAATTATTGCTCTTCTTTGCGTTTGCAAGCTGCTTTGCTGAATATCAATTTGAATCATCAATTTAAGCTTGATACATTTCTAGCATTTTAAATTATAAACCGATACTGATACTTGAAAATCAGGCTAATGCCAAGTTCTGTGCAAAACTTGAAAGTAGGTTTACAAAAATCCTTTGAACTGGAATGCTTTGATACTCTTTCTCAATACTATATAAGTTCCTTCCCAAGAATAATATTGATGAAGATTAAGAAAAAGTGACATTGTGCCCACTTTTGTAATCTTCATCCACCTACACATTCATATTCAGGAATCTTTGAATTAACCCTCACACTTGCTTAGGAAAGAGCCTATCCTCTACAAGAATCCCGAGGCGGCAATTCAGTTAATTTCATATAAAGATAACATCCATTTCCAAGACCACAGATAACTATATTATTAATCTTTACCACAAATATGGAGAGGGGTCGTGAGCGCGGGAGATCAAGGAATTCACGTGCCGACCAGCAAAATTCAACAGGTCCTCAATTTAGGACAAGATCCATTTCCCGGGATAAGACAACAACAGACTACCGTAGTAGTCGTAGTACTTCGCAAGTTAGAGTCCCTACGGTTTTCCATAAGAAAGGTACTGGGACCCTTACTGTCCCTCCAGCACCTAAGGATATTTGTCCTACTCTCAGAAAAGGATTTCTATGTGATAGTAATTTCTGTAAAAAGGACCATCAACTTGAAAGCCTAACCGACCGGGAGCTCCTACTTCTTATAGCACGGAAGACCTGTGGATCAACTGATTCATCGCTTAATATAGCTGCTCCTAAAGACCTAAGACTAGCAAATCCTACGGCTGATGACTTCAAGCAAGACGGCAGTCCAAAATTAACCCTAAAATTACTAGTCGAGACTGCTGAGTTTTGGGCCAATCAGAATATTAATGAAGTAGATGATGCAAAACTCCGTGCTCTCTTGACGTTGAGTGCTGTCTTAGTGCGGAAATTCTCTAAGTCACAGCTTAGTCAATTATGTGAGAGTCATCTTAGGAGGGAAAACTTAGGACAAGACCAAGCTGAATCAGTTCTCGAGGTTTATCAACGTTTACATAGTGATAAAGGAGGTGCTTTTGAGGCAGCACTATGGCAACAGTGGGATAGACAATCATTAACTATGTTTATATCTGCTTTCCTCCATGTAGCATTGCAACTTTCCTGTGAGAGCTCCACTGTAGTGATATCAGGCCTACGCTTACTTGCCCCCCCAAGCGTTAATGAAGGGCTCCCTCCTGCACCAGGGGAATATACTTGGTCAGAAGATAGTACAACTTAGCCTGTAGGGAGGACAAGTAAAACAAGATGCCCTTATCCTCTATAGATGGTATTTTTAAAGAGGGGGACAGGATAGGAATAAAGATAATGACTAAAGCCAATATAAAAATACGAACACAAGTAGAAATTAAAATAGAAATCAAAACAATCTCCCCTTATTCAATATGAAATATAATAGTGAGTATTTGTTTCATGATGTCAATCATTTATTGTTAAAAATAAACAAAGTCAGTAAGAGTGTTAGGATCGTTATATTGCAAGGATCCTCCCTAGAAGCGTTGAATCATCTCAAGTAGCCTAGAACAAGAACAGCAGAGCATTAAATTGAAATAGATAATAAGGATATCGCTTGTTTTTAAGATAGTTTTAGGAAGTTTAAAATTAAGAAAAAGAACCCATGGACACACTCTAGCATTGAGGATGGGGTTCCCTTGATGATAGTATAATCTTAGGTATAGGGTAGTCCTACACGTCCTATATTATACAGTCTAAACTTGTAAAATTAAACTACAAGAACATGATGAAAATTAATGAGAAGGTTCCAAGATTGACTTCAATCCAAACACCTTGCTCTGCCAATTTTCATCTCCTTAAGATATATGATTCTGTTCCTGCGAGATAAGGTTATCAAATAGGGTGTGTATCTCTTTTACATATTTGGGCTCCCACTAGGCTAGAGTTTATAGTTAAGGAAGACTCATCACATTTTTTATTGAACTAGTCTACTCGCAGAATCCTACCGGGAATAGAAATTAGAACATTTGTGATACTTTGACTATAGGAAATAATTTTCAACACTACCTGAGATCAGGTTATTCTTCCAATTTATTCTGCAAGTAATTGTTTAGCATCATAACAACAACGTTATAATTTAAGAATCAAGTCTTGTAACAGAAATAAAGATAACAGAAAGAACCTTTATTATACGGGTCCATTAATTTTATAGGAGAAGCTCCTTTTACAAGCCTAAGATTCCATTAGAGATAACCAGAATGGCTAAAGCCACAGGCCGGTACAACTTGGTAACACCAAAACGGGAGCTAGAGCAAGGAGTTGTGTTTAGCGACCTATGCAACTTCCTAGTGACTCCAACTGTGCAAGGATGGAAGGTTTACTGGGCTGGACTTGAGTTTGATGTCAACCAAAAGGGTATTACCCTGTTAAATCGTCTTAAAGTGAATGATTTTGCTCCTGCATGGGCGATGACCCGGAACCTCTTCCCACACTTGTTCAAAAACCAACAGTCTGAAGTCCAAACTCCCATTTGGGCTTTGAGGGTAATTCTTGCCGCCGGGATTCTTGACCAATTAATGGATCATTCCCTCATTGAGCCGCTATCAGGGGCCCTGAACCTAATTGCTGATTGGTTACTAACAACATCTACTAATCACTTCAACATGAGAACTCAACGAGTAAAGGACCAACTGAGCATGAGGATGTTATCTCTTATAAGGTCAAATATTATTAACTTTATAAATAAGCTCGAGACTCTTCATGTCGTTAATTACAAGGGACTTCTAAGCAGTGTTGAGATAGGAACACCAAGCTATGCAATCATTATTACCAGGACTAATATGGGTTATCTTGTCGAGGTTCAGGAACCAGATAAATCTGCGATGGATATACGACACCCTGGTCCTGTCAAATTCTCCCTACTACATGAATCGACACTTAAACCTGTTGCCACTCCTAAACCGTCAAGCATTACTTCATTGATCATGGAGTTCAACAGTTCTTTGGCAATTTAATTGTCGTAATAAAAATTGTACGATAGGGCTAACATTGATTCCATAATCCATCGTAGGACAGAATCATTTTCCTGTATGATCTTAGTTTAATCTCTCTTTATACAATGATGAATAAGGAGCTTGTTTAAAATGTTACAAAAGTATACTGTTTGAACCCCTAGTATCCCTGTAAATATCCTCATTCAATTTTTTGCTTTTACATGTGTAGTCACCTGTATAGCATGACCCTAGTCATGCCTTTAATTAATACTTAATCTAACAGTTAATATAATGTATAACTTTCCATGTTCAAAGAGTAGTCAAAACAATGTGAGATCCAGTTTCACTCACAGCATCTATTCACTATTTACAGTATGATGAGCCCAAATTAACACAGTAGAGGTCTAGATTTATTAATAGAACGAGGAAGATTAAGAAAAAGTCCATAATGCTGGGGAGGCAATCCCTACCACCATAGGACTTTTTCAATTCCTCTATTTTATGATGGCTACCCAACATACACAATATCCTGATGCAAGATTGTCTTCCCCAATTGTCTTAGACCAATGTGACCTAGTGACAAGAGCATGTGGACTTTACTCTGAGTATTCGCTGAACCCTAAACTAAGGACATGCCGTTTACCGAAACATATCTATAGATTGAAATATGACACTATTGTTTTACGATTTATTAGTGATGTCCCTGTAGCTACAATCCCAATAGACTACATTGCTCCGATGTTAATAAATGTTCTGGCAGATAGTAAAAATGTACCATTGGAACCTCCCTGCTTGAGTTTCTTGGATGAAATAGTCAATTATACCGTGCAGGATGCAGCATTCCTTAATTATTACATGAATCAGATTAAAACACAGGAAGGAGTAATTACAGATCAATTAAAACAGAACATTCGTAGGGTCATTCACAAAAACAGATATCTATCTGCTCTATTCTTCTGGCATGATCTTGCCATCCTCACCCGTCGAGGGAGAATGAACCGAGGAAATGTGCGCTCCACTTGGTTTGTAACGAATGAGGTTGTTGACATTCTAGGATATGGTGATTATATCTTCTGGAAGATCCCTATTGCTCTATTACCAATGAACACAGCTAATGTTCCACATGCATCAACTGACTGGTACCAACCTAATATCTTCAAGGAGGCTATTCAAGGACACACACATATTATTTCAGTCTCTACAGCCGAGGTCCTTATTATGTGTAAGGATCTTGTCACAAGTCGTTTTAATACCCTTCTGATTGCTGAGTTAGCCAGGTTGGAAGATCCAGTGTCTGCTGATTATCCACTAGTAGATAATATTCAATCTCTGTATAACGCAGGAGACTACCTGTTGTCCATATTGGGATCAGAGGGGTACAAAATAATCAAATATCTCGAACCTCTGTGTTTGGCTAAGATTCAACTATGTTCCCAATATACAGAACGAAAAGGGCGGTTTTTAACCCAGATGCATCTTGCAGTTATTCAGACATTGCGTGAACTCCTCCTTAATAGAGGGTTGAAAAAATCACAATTGTCTAAAATCCGCGAGTTTCACCAACTGTTGCTCAGACTCCGATCCACACCACAACAATTATGTGAATTATTTTCAATCCAAAAACACTGGGGCCACCCAGTTCTGCATAGTGAAAAGGCCATCCAAAAGGTTAAAAATCATGCAACAGTTCTAAAGGCATTGCGGCCGATTATCATCTTTGAAACGTATTGTGTATTCAAGTATAGTGTTGCAAAACATTTCTTTGATAGTCAAGGCACTTGGTACAGTGTGATATCAGACCGATGTTTAACGCCGGGATTGAATTCCTACATTAGGCGAAATCAATTCCCTCCACTTCCAATGATCAAAGATCTTTTATGGGAATTTTACCATTTGGATCATCCTCCATTATTCTCCACGAAGATCATTAGTGACCTCAGCATTTTCATTAAAGACCGCGCAACAGCAGTTGAACAAACCTGTTGGGATGCAGTTTTTGAGCCTAACGTTTTGGGCTACAGTCCACCTTATCGATTCAATACCAAACGTGTACCTGAACAATTCCTGGAGCAAGAGGATTTTTCTATTGAGAGTGTCTTACAATACGCCCAAGAACTTAGGTACTTATTGCCCCAGAATCGAAATTTTTCTTTTTCATTGAAGGAAAAAGAATTAAATGTTGGTAGGACATTTGGAAAATTGCCTTATTTAACCAGGAATGTCCAAACCCTCTGCGAAGCATTACTTGCAGATGGTTTGGCTAAAGCCTTTCCAAGCAATATGATGGTTGTCACAGAGAGGGAACAAAAGGAGAGCCTCCTTCACCAAGCATCCTGGCACCATACAAGTGATGATTTCGGAGAGCATGCCACAGTTCGTGGAAGTAGTTTTGTCACAGACCTGGAAAAATACAATCTGGCCTTCAGGTATGAATTCACAGCTCCCTTCATCAAATATTGCAACCAATGCTATGGGGTTCGCAATGTCTTTGATTGGATGCACTTCCTAATTCCGCAATGTTACATGCATGTTAGTGATTATTATAACCCACCACATAATGTAACCTTAGAGAATAGGGAATATCCCCCCGAAGGACCAAGTGCTTATAGAGGCCACCTTGGCGGTATTGAGGGGCTTCAACAAAAGTTATGGACTAGTATCTCATGTGCTCAAATCTCATTGGTAGAGATCAAGACCGGGTTCAAATTGCGATCAGCAGTCATGGGGGATAATCAATGTATTACAGTATTATCAGTCTTTCCACTAGAATCTAGTCCGAATGAGCAGGAGAGATGCGCAGAAGACAATGCAGCCAGAGTGGCTGCTAGCTTGGCCAAAGTCACAAGTGCCTGTGGGATATTCCTCAAGCCTGATGAGACTTTTGTACACTCAGGCTTTATCTATTTTGGCAAAAAGCAATATTTGAACGGAATTCAATTACCTCAATCACTCAAGACAGCAGCTAGGATGGCCCCTCTCTCAGATGCAATTTTTGATGACTTGCAAGGTACACTTGCCAGTATAGGAACTGCCTTTGAGCGATCAATCTCCGAAACTAGACATATTTTACCATGTCGTGTTGCAGCTGCCTTTCATACATATTTCTCTGTTCGGATCTTACAACATCATCACCTTGGTTTCCATAAGGGTTCAGACCTTGGACAATTGGCAATCAATAAACCTCTTGATTTCGGAACCATTGCACTATCCTTAGCAGTTCCTCAGGTATTGGGTGGATTATCCTTCCTAAATCCAGAAAAGTGCCTTTATCGCAACTTGGGTGATCCTGTAACTTCAGGCCTATTTCAGTTGAAGCATTATCTGTCAATGGTGGGTATGAGTGATATCTTTCATGCACTTGTTGCAAAAAGCCCAGGGAATTGTAGCGCAATTGACTTTGTTCTAAACCCAGGCGGGTTAAATGTCCCTGGATCACAGGATTTAACATCTTTCCTTCGTCAGATTGTCAGAAGGAGTATCACACTTTCGGCAAGGAACAAGTTAATCAACACGTTATTTCACGCTTCTGCAGATCTTGAAGACGAATTAGTATGTAAATGGTTACTTTCTTCAACGCCCGTGATGAGCCGTTTCGCAGCCGATATTTTCTCACGAACACCAAGCGGGAAAAGATTACAAATCTTGGGATACCTCGAGGGAACCAGAACTTTATTAGCATCCAAAATGATAAGCAATAATGCAGAGACACCAATCTTGGAGAGGCTCAGAAAAATAACGCTTCAAAGATGGAATCTATGGTTTAGTTACCTAGACCATTGTGACCCAGCTTTAATGGAAGCAATTCAACCAATTAAGTGTACTGTTGATATTGCTCAAATTCTTAGAGAATACTCCTGGGCTCATATTCTTGATGGTAGACAGTTAATAGGGGCGACACTGCCATGTATACCTGAGCAGTTCCAAACCACATGGTTAAAACCTTACGAGCAATGTGTGGAATGTTCATCCACAAACAATTCTAGTCCATATGTATCAGTTGCATTAAAAAGGAACGTGGTTAGTGCTTGGCCTGATGCATCTAGATTGGGGTGGACGATTGGTGATGGGATTCCCTACATAGGCTCAAGAACTGAGGACAAGATAGGTCAGCCCGCTATTAAGCCGAGGTGCCCATCAGCTGCATTAAGAGAAGCTATTGAATTGACCTCTAGGTTGACCTGGGTCACTCAAGGTAGTGCAAACAGCGATCAGTTAATTCGCCCTTTTCTTGAGGCAAGAGTAAACTTGAGTGTACAAGAGATTCTTCAAATGACCCCCTCACATTACTCCGGTAATATTGTGCATCGGTATAATGATCAGTATAGCCCTCACTCCTTTATGGCTAACCGCATGAGTAACACAGCAACGCGCTTGATGGTATCTACCAACACACTAGGAGAGTTTTCCGGAGGGGGTCAGGCTGCACGTGATAGCAACATTATATTTCAAAATGTGATTAACTTTGCAGTGGCCTTGTATGACATTAGGTTTCGGAACACTTGTACATCTTCTATTCAATATCACAGGGCCCATATTCACCTGACGAATTGTTGTACGAGGGAAGTACCGGCCCAATACTTAACATACACAACCACGCTAAATCTAGATTTGAGTAAGTACCGTAATAATGAACTGATTTATGATTCAGAGCCACTAAGAGGAGGTCTCAACTGCAACTTATCGATTGACAGTCCTTTGATGAAGGGCCCACGTTTAAATATTATTGAGGATGACTTAATACGGTTGCCACATTTATCCGGCTGGGAATTAGCAAAAACAGTCTTACAATCAATAATCTCTGATAGTAGCAATTCATCAACAGATCCCATTAGCAGCGGTGAAACAAGATCCTTCACAACCCACTTCTTAACGTATCCCAAAATAGGGCTCCTATACAGTTTTGGAGCCCTCATAAGTTTTTATTTGGGTAATACTATTCTGTGCACGAAAAAGATCGGACTCACAGAATTTCTATACTATCTCCAGAATCAGATCCACAACTTATCACACAGATCCCTTCGAATCTTCAAACCGACATTTAGACACTCAAGTGTCATGTCCAGGTTGATGGATATAGACCCCAACTTCTCAATATATATTGGTGGGACTGCAGGTGACCGTGGATTATCGGACGCTGCAAGATTATTTCTCCGAATTGCAATTTCAACTTTCTTGAGCTTTGTTGAGGAGTGGGTTATCTTTAGGAAGGCAAACATCCCACTATGGGTTATCTATCCTCTCGAAGGCCAACGCCCTGATCCTCCTGGCGAATTTTTGAACCGAGTAAAATCTCTAATTGTTGGGACTGAAGATGATAAAAATAAAGGCTCTATACTTTCAAGATCTGGAGAGAAATGCTCTTCAAATCTAGTTTATAATTGCAAGAGTACAGCAAGCAATTTTTTCCATGCATCATTGGCTTATTGGAGAGGTCGACATAGACCTAAGAAGACTATAGGTGCAACTAACGCGACAACAGCTCCACATATCATTTTGCCACTAGGAAATTCTGATCGACCGCCTGGCCTAGACCTTAATAGGAACAATGATACTTTCATTCCTACCAGAATTAAACAGATAGTCCAAGGAGACTCTAGAAACGACAGAACGACCACCACGAGATTTCCACCCAAAAGTAGGTCCACTCCAACATCAGCAACCGAGCCTCCTACAAAAATGTATGAGGGTTCGACAACCCACCAAGGGAAATTAACAGATACACATTTGGATGAGGATCACAATGCCAAAGAGTTCCCATCCAATCCGCATCGTTTAGTAGTACCATTCTTTAAATTAACAAAAGATGGGGAATACAGTATCGAACCTTCTCCTGAAGAAAGCCGCAGTAATATAAAAGGGTTACTTCAACATTTAAGAACCATGGTTGATACTACCATATATTGTCGCTTCACTGGAATTGTTTCATCAATGCATTATAAGTTAGATGAAGTACTATGGGAATATAATAAATTTGAATCAGCTGTAACCCTAGCAGAAGGGGAGGGTTCAGGTGCCTTACTACTGATCCAAAAATACGGCGTTAAGAAGTTATTTTTGAATACACTTGCTACTGAACATAGTATTGAGAGTGAAGTAATATCAGGTTACACCACTCCAAGGATGCTACTCTCAATTATGCCTAAAACACATCGTGGTGAGCTAGAGGTCATATTAAATAACTCAGCTAGTCAAATAACTGATATTACACACCGAGATTGGTTTTCAAATCAAAGAAATAGGATTCCAAATGATGCTGATATTATTACCATGGATGCTGAAACCACAGAAAACTTAGATCGTTCCAGATTATATGAAGCAGTATATACGATTATTTGTAATCATATCAATCCTAAAACTTTGAAAGTGGTCATCTTAAAAGTCTTCCTCAGCGATTTGGATGGGATGTGCTGGATTAACAATTATCTTGCTCCTATGTTTGGATCAGGATATTTAATCAAACCTATAACATCAAGTGCAAAGTCAAGTGAGTGGTATTTATGCTTATCTAATCTACTTTCAACCTTGAGAACTACTCAGCATCAAACCCAGGCAAACTGTCTCCAGGTCGTACAATGTGCTCTTCAACAGCAAGTACAAAGAGGGTCATATTGGCTAAGTCATCTTACTAAATACACCACAAGTAGATTGCACAATAGTTATATTGCATTTGGTTTTCCTTCATTAGAGAAGGTCCTATATCATAGGTATAACCTTGTTGATTCGAGAAACGGACCATTAGTTTCTATAACGAGACACCTTGCCCTCCTCCAAACTGAGATCCGGGAGTTGGTAACTGATTATAATCAGCTGCGACAAAGTCGAACCCAGACTTATCATTTCATAAAAACATCCAAGGGACGGATAACTAAACTAGTGAATGATTATCTAAGATTTGAGTTGGTTATACGGGCTCTTAAAAATAATTCTACATGGCACCATGAGTTATACTTGCTACCAGAACTTATAGGTGTTTGCCATCGATTTAATCATACACGTAACTGTACATGCAGCGAAAGGTTCCTGGTTCAAACTTTATATCTACACCGAATGAGTGATGCTGAGATAAAACTTATGGACCGGCTCACCAGCCTAGTCAATATGTTTCCTGAAGGTTTCAGGTCTAGTTCAGTCTAATTCTAACTGCACCAAAGGCTCTAGAGATATTTTAAATAACCAGGTGTATATCAAAGTCAATACAAGTGTAAAAACAATATGCAAGGGACCACATTGAGGATCAGTTTATTGACTCTTCCAATACACAGAGTTGGAAGCACCGATTCAAGGTTTCTAAGACGCTCTATCAATTATGTTGATAATGTAAATAATAGCTTTTCCTGTCTATTATGACTTAAATAAACATATCTATAACGACCATCACAGCTAAGTCGTTGCCCTAGTTCATATATTAAATTAAAATTTAGAAGCTAGGTTAACTCTAATTACATAAGTATTAAGAAAAAATTACTAAGACTAATACTCTCATGCCAAGAACTAGTAATGTGTTTCACATGACAGATTATTTCTAACACTAAATTGCAATTTCAATTTTAAAGCTAAGTTTAACACCTATACAGCCAAAATATTTCATAGGGCCGATGGGAATAACATAAGAGGAACATGATCAATGAACCCTTTATTCCAACTAGGCAGTTGATTGATAATCTACAAATTCCATAAGATGTTCTTACGATATTCTTTTGTTTTTAATCTCAATGTCAATGATTTAATAAGTAATAATAAAAAAATCACATTAAAGATGCAGGAAGATCTTGACCTCGCCAGGAAAATTAAGCGCACACAAATAAATTAAAAAATCTGTATTTTCTCTTTTTTGTGTGTCCA >Sudan_ebolavirus_strain_Gulu_complete_genome CGGACACACAAAAAGAAAGAAAAGTTTTTTATACTTTTTGTGTGCGAATAACTATGAGGAAGATTAATCATTTTCCTCAAACTCAAACTAATATTAACATTGAGATTGATCTCATCATTTACCAATTGGAGACAATTTAACTAGTCAATCCCCCATTTGGGGGCATTCCTAAAGTGTTGCAAAGGTATGTGGGTCGTATTGCTTTGCCTTTTCCTAACCTGGCTCCTCCTACAATTCTAACCTGCTTGATAAGTGTGATTACCTGAGTAATAGACTAATTTCGTCCTGGTAATTAGCATTTTCTAGTAAAACCAATACTATCTCAAGTCCTAAGAGAAGGTGAGAAGAGGGTCCCGAGGTATCCCTCCAGTCCACAAAATCTAGCTAATTTTAGCTGAGTGGACTGATTACTCTCATCACACGCTAACTACTAAGGGTTTACCTGAGAGCCTACAACATGGATAAACGGGTGAGAGGTTCATGGGCCCTGGGAGGACAATCTGAAGTTGATCTTGACTACCACAAAATATTAACAGCCGGGCTTTCGGTCCAACAAGGGATTGTGCGACAAAGAGTCATCCCGGTATATGTTGTGAGTGATCTTGAGGGTATTTGTCAACATATCATTCAGGCCTTTGAAGCAGGCGTAGATTTCCAAGATAATGCTGACAGCTTCCTTTTACTTTTATGTTTACATCATGCTTACCAAGGAGATCATAGGCTCTTCCTCAAAAGTGATGCAGTTCAATACTTAGAGGGCCATGGTTTCAGGTTTGAGGTCCGAGAAAAGGAGAATGTGCACCGTCTGGATGAATTGTTGCCCAATGTCACCGGTGGAAAAAATCTTAGGAGAACATTGGCTGCAATGCCTGAAGAGGAGACAACAGAAGCTAATGCTGGTCAGTTTTTATCCTTTGCCAGTTTGTTTCTACCCAAACTTGTCGTTGGGGAGAAAGCGTGTCTGGAAAAAGTACAAAGGCAGATTCAGGTCCATGCAGAACAAGGGCTCATTCAATATCCAACTTCCTGGCAATCAGTTGGACACATGATGGTGATCTTCCGTTTGATGAGAACAAACTTTTTAATCAAGTTCCTACTAATACATCAGGGGATGCACATGGTCGCAGGCCATGATGCGAATGACACAGTAATATCTAATTCTGTTGCCCAAGCAAGGTTCTCTGGTCTTCTGATTGTAAAGACTGTTCTGGACCACATCCTACAAAAAACAGATCTTGGAGTACGACTTCATCCACTGGCCAGGACAGCAAAAGTCAAGAATGAGGTCAGTTCATTCAAGGCAGCTCTTGGCTCACTTGCCAAGCATGGAGAATATGCTCCATTTGCACGTCTCCTCAATCTTTCTGGAGTCAACAACTTGGAACATGGGCTTTATCCACAACTCTCAGCCATTGCTTTGGGTGTTGCAACTGCCCACGGGAGCACGCTGGCTGGTGTTAATGTAGGGGAGCAATATCAGCAACTGCGTGAGGCTGCTACTGAAGCTGAAAAGCAACTCCAACAATATGCTGAAACACGTGAGTTGGACAACCTTGGGCTTGATGAACAGGAAAAGAAGATTCTCATGAGCTTCCACCAGAAGAAGAATGAGATCAGCTTCCAGCAAACTAACGCAATGGTAACCCTGAGGAAAGAGCGGCTGGCCAAACTGACCGAAGCCATCACGACTGCATCAAAGATCAAGGTTGGAGATCGTTATCCTGATGACAATGATATTCCATTTCCCGGGCCGATCTATGATGAAACCCACCCCAACCCTTCTGATGATAATCCTGATGATTCACGTGATACAACTATCCCAGGTGGTGTTGTTGACCCGTATGATGATGAGAGTAATAATTATCCTGACTACGAGGATTCGGCTGAAGGCACCACAGGAGATCTTGATCTCTTCAATTTGGACGACGACGATGACGACAGCCAACCAGGACCACCAGACAGGGGGCAGAGCAAGGAAAGAGCGGCTCGGACACATGGCCTCCAAGATCCGACCTTGGACGGAGCGAAAAAGGTGCCGGAGTTGACCCCAGGTTCCCACCAACCAGGCAACCTCCACATCACCAAGCCGGGTTCAAACACCAACCAACCACAAGGCAATATGTCATCTACTCTCCAGAGTATGACCCCTATACAGGAAGAATCAGAGCCCGATGATCAGAAAGATGATGATGACGAGAGTCTCACATCCCTTGACTCTGAAGGTGACGAAGATGTTGAGAGCGTATCAGGGGAGAACAACCCAACTGTAGCTCCACCAGCACCAGTCTACAAAGATACTGGAGTAGACACTAATCAGCAAAATGGACCAAGCAATGCTGTAGATGGTCAAGGTTCTGAAAGTGAAGCTCTCCCAATCAACCCCGAAAAGGGATCTGCACTGGAAGAAACATATTATCATCTCCTAAAAACACAGGGTCCATTTGAGGCAATCAATTATTATCACCTAATGAGTGATGAGCCCATTGCTTTTAGCACTGAAAGTGGCAAGGAATATATCTTCCCAGATTCTCTTGAAGAAGCCTACCCGCCTTGGTTGAGTGAGAAGGAGGCCTTAGAGAAAGAAAATCGTTATCTGGTCATTGATGGCCAGCAATTCCTCTGGCCAGTAATGAGCCTACAGGACAAGTTCCTTGCTGTTCTTCAACATGACTGAGGACCCATGATTAGTAGATTTTGTTTATTCTGAGCTTGATTATAATTGTTTTGATAATTCAAGTATGAGCAACCAACCCGAAATATAAACCCTATTTTAGTTATGAGGAAATTAAATAAATAATCTGTAAGTTGTAGGACTATGAAGAGCTGCTTGTGTCAATTTATCACGGGCTAATACCCATACCGCAAGAATAATTATTTAGTAATTTTGATCAGCTTATGATATGTACCAATAGGAAAACATTATAGCATTAAAACATAAAGTATCCTTCGATGAGCTTAGGAGGATAATATCCTGATGAATTCTATAGAACTTAGGATTAAGAAAAAATTCATGATGAAGATTAAAACCTTCATCATCCTTTAAAAAGAGAGCTATTCTTTATCTGAATGTCCTTATTAATGTCTAAGAGCTATTATTTTGTACCCTCTTAGCCTAGACACTGCCCAGCATATAAGCCATGCAGCAGGATAGGACTTATAGACATCATGGACCCGAAGTGTCTGGCTGGTTTTCTGAGCAATTAATGACCGGCAAAATACCGCTAACAGAGGTGTTTGTTGATGTTGAAAACAAACCAAGTCCTGCCCCGATAACCATTATTAGTAAGAATCCCAAGACAACACGTAAAAGTGATAAGCAAGTCCAAACAGATGATGCCAGTAGCTTATTGACAGAAGAAGTCAAGGCTGCCATAAATTCGGTGATATCAGCTGTGCGTCGGCAAACCAATGCTATTGAATCACTAGAAGGTCGAGTAACAACTCTTGAGGCCAGCTTAAAACCCGTTCAAGACATGGCAAAGACCATATCATCCCTGAATCGCAGCTGTGCCGAAATGGTTGCAAAATACGACCTACTGGTGATGACCACTGGGCGAGCAACTGCCACTGCTGCAGCAACAGAAGCATATTGGAATGAACATGGACAAGCACCTCCAGGCCCATCATTGTACGAGGATGATGCTATTAAGGCTAAATTGAAAGATCCGAACGGGAAGGTTCCAGAAAGTGTCAAACAGGCCTACATAAATCTAGATAGCACAAGTGCCCTCAATGAGGAAAATTTCGGGCGACCTTACATTTCAGCAAAAGATCTCAAGGAAATCATCTATGACCATCTCCCAGGATTTGGGACAGCTTTTCATCAGTTGGTGCAGGTTATCTGCAAAATTGGTAAGGATAATAATATCCTAGACATAATTCATGCAGAATTCCAAGCAAGCTTGGCTGAGGGAGACTCCCCCCAGTGTGCATTAATCCAGATAACAAAACGGATCCCTGCTTTCCAAGATGCCTCTCCTCCAATTGTGCATATCAAGTCTCGAGGAGATATACCCAAAGCCTGTCAGAAAAGCCTCCGGCCGGTCCCACCGTCACCAAAGATCGATAGAGGTTGGGTCTGTATTTTTCAATTCCAAGACGGGAAGGCCCTTGGGCTAAAAATATGATACAGAAGCAAGGTAAGCTCATTTTGCGATGGCCAAATGATACTTATGACTGTTTAAAATCAAGTTAGACTAATAGTCTATTGTGTCATAAGCTTATAAGTCAGTTTTAAATTTCCCCTCTATCCTAATCAATTGATAATGCTGTCAATAGGGAAATTCCCCTGTATTGTAATAAGACCTCATTAACATATTTCCCCTGCTTAGTACTATGCAGAAACCCCCGAGCAAATTAAAATTGATGAAGATTAAGAAAAAGAGGGATTTTCTCAGGAAAAATCTTTTTTCTTACCTTCATCTCATTTAAACAAATTTAGGACTCAGGAAAAATGAGAAGGGTCACTGTGCCGACTGCACCACCTGCCTATGCTGACATTGGCTATCCTATGAGCATGCTTCCCATCAAGTCAAGCAGGGCTGTGAGTGGAATTCAACAGAAACAAGAGGTCCTTCCTGGAATGGATACACCATCAAATTCTATGAGACCTGTTGCTGATGATAACATTGATCATACAAGTCATACCCCGAACGGAGTGGCCTCAGCATTCATCTTGGAGGCAACTGTCAATGTGATCTCGGGGCCCAAAGTCCTCATGAAACAAATCCCTATTTGGTTGCCACTCGGAATTGCTGACCAAAAAACGTACAGTTTTGACTCAACAACAGCAGCAATTATGCTCGCATCTTATACGATCACCCATTTTGGAAAGGCCAACAACCCCCTCGTTAGAGTGAATCGACTTGGTCAGGGAATACCGGATCACCCACTCAGATTGCTCAGGATGGGGAACCAGGCTTTCCTTCAAGAGTTTGTGCTACCACCAGTTCAACTGCCGCAATATTTCACTTTTGATCTGACTGCACTCAAACTAGTGACACAGCCTCTCCCTGCTGCAACATGGACAGATGAGACTCCGAGCAACCTTTCAGGAGCCCTTCGTCCCGGGCTTTCATTTCACCCAAAGCTGAGACCCGTTCTACTTCCAGGCAAGACGGGAAAGAAAGGGCATGTTTCTGATCTGACTGCCCCAGACAAAATTCAGACAATTGTGAACCTGATGCAAGATTTCAAAATCGTGCCAATTGATCCAGCTAAGAGTATCATTGGGATCGAGGTTCCAGAATTGCTGGTCCACAAGCTCACTGGGAAGAAAATGAGTCAGAAGAATGGACAGCCTATAATTCCTGTCTTACTCCCAAAATACATTGGGCTAGATCCAATCTCACCTGGAGACCTGACTATGGTCATAACACCAGATTATGATGATTGTCATTCACCTGCCAGTTGCTCTTATCTCAGTGAAAAGTGATTCTCACAAAGTGAGAGAAACACCTCCAGTAAAGAAATCAAATCTTATCTATAGCAACTCAATCGACTTTTAGGAAGCTAGCAGTCCATATACTATGGGACAACTCAACCCTCTTGTTAAAATGTACTAATCGGGTCAAGGAACTCTCACTGATCAAGCCTGAATCCAAGATAGAACCAGCCCAAAGGGCCTCCCCAGAGTCTCTTACAAGCTTAGCCAATCAATTAACATGCATAAGCGATCCATACTTCGCCCAATCAGTGTCCGATGTTCACCCCTTCAAGCCTCCTTCCTAGCAAATTGACCTAGCTGTACCAAGAGATTCCCTCAGCCTCCTTCTCAAATAACCTGATCCTCGAGGGTTACACCTTCACCACTCTATGCTCATTTCACCCAAACATAAAATGAAATGTCTTAACATGATTGCACCATTAAGAAAAACAAATCTGATGAAGATTAAGCCTGATGAAGGCCCAACCTTCATCTTTTTACCATAATCTTGTTCTCAGTACCATTTGATAAGGGTACACTTGCCAATACGCCCCCATCCTAAGGGTCTCGCAATGGGGGGTCTTAGCCTACTCCAATTGCCCAGGGACAAATTTCGGAAAAGCTCTTTCTTTGTTTGGGTCATCATCTTATTCCAAAAGGCCTTTTCCATGCCTTTGGGTGTTGTGACTAACAGCACTTTAGAAGTAACAGAGATTGACCAGCTAGTCTGCAAGGATCATCTTGCATCTACTGACCAGCTGAAATCAGTTGGTCTCAACCTCGAGGGGAGCGGAGTATCTACTGATATCCCATCTGCAACAAAGCGTTGGGGCTTCAGATCTGGTGTTCCTCCCAAGGTGGTCAGCTATGAAGCGGGAGAATGGGCTGAAAATTGCTACAATCTTGAAATAAAGAAGCCGGACGGGAGCGAATGCTTACCCCCACCGCCAGATGGTGTCAGAGGCTTTCCAAGGTGCCGCTATGTTCACAAAGCCCAAGGAACCGGGCCCTGCCCAGGTGACTACGCCTTTCACAAGGATGGAGCTTTCTTCCTCTATGACAGGCTGGCTTCAACTGTAATTTACAGAGGAGTCAATTTTGCTGAGGGGGTAATTGCATTCTTGATATTGGCTAAACCAAAAGAAACGTTCCTTCAGTCACCCCCCATTCGAGAGGCAGTAAACTACACTGAAAATACATCAAGTTATTATGCCACATCCTACTTGGAGTATGAAATCGAAAATTTTGGTGCTCAACACTCCACGACCCTTTTCAAAATTGACAATAATACTTTTGTTCGTCTGGACAGGCCCCACACGCCTCAGTTCCTTTTCCAGCTGAATGATACCATTCACCTTCACCAACAGTTGAGTAATACAACTGGGAGACTAATTTGGACACTAGATGCTAATATCAATGCTGATATTGGTGAATGGGCTTTTTGGGAAAATAAAAAAATCTCTCCGAACAACTACGTGGAGAAGAGCTGTCTTTCGAAGCTTTATCGCTCAACGAGACAGAAGACGATGATGCGGCATCGTCGAGAATTACAAAGGGAAGAATCTCCGACCGGGCCACCAGGAAGTATTCGGACCTGGTTCCAAAGAATTCCCCTGGGATGGTTCCATTGCACATACCAGAAGGGGAAACAACATTGCCGTCTCAGAATTCGACAGAAGGTCGAAGAGTAGGTGTGAACACTCAGGAGACCATTACAGAGACAGCTGCAACAATTATAGGCACTAACGGCAACCATATGCAGATCTCCACCATCGGGATAAGACCGAGCTCCAGCCAAATCCCGAGTTCCTCACCGACCACGGCACCAAGCCCTGAGGCTCAGACCCCCACAACCCACACATCAGGTCCATCAGTGATGGCCACCGAGGAACCAACAACACCACCGGGAAGCTCCCCCGGCCCAACAACAGAAGCACCCACTCTCACCACCCCAGAAAATATAACAACAGCGGTTAAAACTGTCCTGCCACAGGAGTCCACAAGCAACGGTCTAATAACTTCAACAGTAACAGGGATTCTTGGGAGTCTTGGGCTTCGAAAACGCAGCAGAAGACAAACTAACACCAAAGCCACGGGTAAGTGCAATCCCAACTTACACTACTGGACTGCACAAGAACAACATAATGCTGCTGGGATTGCCTGGATCCCGTACTTTGGACCGGGTGCGGAAGGCATATACACTGAAGGCCTGATGCATAACCAAAATGCCTTAGTCTGTGGACTTAGGCAACTTGCAAATGAAACAACTCAAGCTCTGCAGCTTTTCTTAAGAGCCACAACGGAGCTGCGGACATATACCATACTCAATAGGAAGGCCATAGATTTCCTTCTGCGACGATGGGGCGGGACATGCAGGATCCTGGGACCAGATTGTTGCATTGAGCCACATGATTGGACAAAAAACATCACTGATAAAATCAACCAAATCATCCATGATTTCATCGACAACCCCTTACCTAATCAGGATAATGATGATAATTGGTGGACGGGCTGGAGACAGTGGATCCCTGCAGGAATAGGCATTACTGGAATTATTATTGCAATTATTGCTCTTCTTTGCGTTTGCAAGCTGCTTTGCTGAATATCAATTTGAATCATCAATTTAAGCTTGATACATTTCTAGCATTTTAAATTATAAACCGATACTGATACTTGAAAATCAGGCTAATGCCAAGTTCTGTGCAAAACTTGAAAGTAGGTTTACAAAAATCCTTTGGACTGGAATGCTTTGATACTCTTTCTCAATACTATATAAGTTCCTTCCCAAGAATAATATTGATGAAGATTAAGAAAAAGTGACATTGTGCCCACTTTTGTAATCTTCATCCACCTACACATTCATATTCAGGAATCTTTGAATTAACCCTCACACTTGCTTAGGAAAGAGCCTATCCTCTACAAGAATCCCGAGGCGGCAATTCAGTTAATTTCATATCAAGATAACATCCATTTCCAAGACCACAGATAACTATATTATTAATCTTTACCACAAATATGGAGAGGGGTCGTGAGCGCGGGAGATCAAGGAATTCACGTGCCGACCAGCAAAATTCAACAGGTCCTCAATTTAGGACAAGATCCATTTCCCGGGATAAGACAACAACAGACTACCGTAGTAGTCGAAGTACTTCGCAAGTTAGAGTCCCTACGGTTTTCCATAAGAAAGGTACTGGGACCCTTACTGTCCCTCCAGCACCTAAGGATGTTTGTCCTACTCTCAGAAAAGGATTTCTATGTGATAGTAATTTCTGTAAAAAGGACCATCAACTTGAAAGCCTAACCGACCGGGAGCTCCTACTTCTTATAGCACGGAAGACCTGTGGATCAACTGATTCATCGCTTAATATAGCTGCTCCTAAAGACCTAAGACTAGCAAATCCTACGGCTGATGACTTCAAGCAAGACGGCAGTCCAAAATTAACCCTAAAATTACTAGTCGAGACTGCTGAGTTTTGGGCCAATCAGAATATTAATGAAGTAGATGATGCAAAACTCCGTGCTCTCTTGACGTTGAGTGCTGTCTTAGTGCGGAAATTCTCTAAGTCACAGCTTAGTCAATTATGTGAGAGTCATCTTAGGAGGGAAAACTTAGGACAAGACCAAGCTGAATCAGTTCTCGAGGTTTATCAACGTTTACATAGTGACAAAGGAGGTGCTTTTGAGGCAGCACTATGGCAACAGTGGGATAGACAATCATTAACTATGTTTATATCTGCTTTCCTCCATGTAGCATTGCAACTTTCCTGTGAGAGCTCCACTGTAGTGATATCAGGCCTACGCTTACTTGCCCCCCCAAGCGTTAATGAAGGGCTCCCTCCTGCACCAGGGGAATATACTTGGTCAGAAGATAGTACAACTTAGCCTGTAGGGAGGACAAGTAAAACAAGATGCCCTTATCCTCTATAGATGGTATTTTTAGAGAGGGGGACAGGATAGGAATAAAGATAATGACTAAAGCCAATATAAAGATACGAACACAAGTAGAAATTAAAATAGAAATCAAAACAATCTCCCCTTATTCAATATGAAATATAATAGTGAGTATTTGTTTCATGATGTCAATCATTTATTGTTAAAAATAAACAAAGTCAGTAAGAGTGTTAGGATCGTTATATTGCAAGGATCCTCCCTAGAAGCGTTGAATCATCTCAAGTAGCCTAGAACAAGAACAGCAGAGCATTAAATTGAAATAGATAATAAGGATATTGCTTGTTTTTAAGATAGTTTTAGGAAGTTTAAAATTAAGAAAAAGAACCCATGGACACACTCTAGCATTGAGGATGGGGTTCCCTTGATGATAGTATAGTCTTAGGTATAGGGTAGTCCTACACGTACTATATTATACAGTCTAAACTTGTAAAATTAAACTACAAGAACATGATGAAAATTAATGAGAAGGTTCCAAGATTGACTTCAATCCAAACACCTTGCTCTGCCAATTTTCATCTCCTTAAGATATATGATTTTGTTCCTGCGAGATAAGGTTATCAAATAGGGTGTGTATCTCTTTTACATATTTGGGCTCCCACTAGGCTAGGGTTTATAGTTAAGGAAGACTCATCACATTTTTTATTGAACTAGTCTACTCGCAGAATCCTACCGGGAATAGAAATTAGAACATTTGTGATACTTTGACTATAGGAAATAATTTTCAACACTACCTGAGATCAGGTTATTCTTCCAACTTATTCTGCAAGTAATTGTTTAGCATCATAACAACAACGTTATAATTTAAGAATCAAGTCTTGTAACAGAAATAAAGATAACAGAAAGAACCTTTATTATACGGGTCCATTAATTTTATAGGAGAAGCTCCTTTTACAAGCCTAAGATTCCATTAGAGATAACCAGAATGGCTAAAGCCACAGGCCGGTACAACTTGGTAACACCAAAACGGGAGCTAGAGCAAGGAGTTGTGTTTAGCGACCTATGCAACTTCCTAGTGACTCCAACTGTGCAAGGATGGAAGGTTTACTGGGCTGGACTTGAGTTTGATGTCAACCAAAAGGGTATTACCCTGTTAAATCGTCTTAAAGTGAATGATTTTGCTCCTGCATGGGCGATGACCCGGAACCTCTTCCCACACTTGTTCAAAAACCAACAGTCTGAAGTCCAAACTCCCATTTGGGCCTTGAGGGTAATTCTTGCCGCCGGGATTCTTGACCAATTAATGGATCATTCCCTCATTGAGCCGCTATCAGGGGCCCTGAACCTAATTGCTGATTGGTTACTAACAACATCTACTAATCACTTCAACATGAGAACTCAACGAGTAAAGGACCAACTGAGCATGAGGATGTTATCTCTTATAAGGTCAAATATTATTAACTTTATAAATAAGCTCGAGACTCTTCATGTCGTTAATTACAAGGGACTTCTAAGCAGTGTTGAGATAGGAACACCAAGCTATGCAATCATCATTACCAGGACTAATATGGGTTATCTTGTCGAGGTTCAGGAACCAGATAAATCTGCGATGGATATACGACACCCTGGTCCTGTCAAATTCTCCTTACTACATGAATCGACACTTAAACCTGTTGCCACTCCTAAACCATCAAGCATTACTTCATTGATCATGGAGTTCAACAGTTCTTTGGCAATTTAATTGCCGTAATAAAAATTGTACGATAGGGCTAACATTGATTCCATAATCCATCGTAGGACAGAATCATTTTCCTGTATGATCTTAGTTTAATCTCTCTTTATACAATGATTAATAAGGAGCCTGTTTAAAATGTTACAAAAGTATACTGTTTGAACCCCTAGTATCCCTGTAAATATCCTCATTCAATTTTTTGCTTTTACATGTGTAGTCACCTGTATAGCATGACCCTAGTCATGCCTTTAATTAATACTTAATCTAACAGTTAATATAATGTATAACTTTCCATGTTCAAAGAGTAGTCAAAACAATGTGAGATCCAGTTTCACTCACAGCATCTATTCACTATTTACAGTATGATGAGCCCAAATTAACACGGTAGAGGTCTAGATTTATTAATAGAACGAGGAAGATTAAGAAAAAGTCCATAATGCTGGGGAGGCAATCCTTGCCACCATAGGACTTTTTCAATTCCTCTATTTTATGATGGCTACCCAACATACACAATATCCTGATGCAAGATTGTCTTCCCCAATTGTCTTAGACCAATGTGACCTAGTGACAAGAGCATGTGGACTTTACTCTGAGTATTCGCTGAACCCTAAACTAAAGACATGCCGTTTACCGAAACATATCTATAGATTAAAATATGACACTATTGTTTTACGATTTATTAGTGATGTCCCTGTAGCTACAATCCCAATAGACTACATTGCTCCGATGTTAATAAATGTTCTGGCAGATAGTAAAAATGTACCATTGGAACCTCCCTGCTTGAGTTTCTTGGATGAAATAGTCAATTATACCGTGCAGGATGCAGCCTTCCTTAATTATTACATGAATCAGATTAAAACACAGGAAGGAGTAATTACAGATCAATTAAAACAGAACATTCGTAGGGTCATTCACAAAAACAGATATCTATCTGCTCTATTCTTCTGGCATGATCTTGCCATCCTCACCCGTCGAGGGAGAATGAACCGAGGAAATGTGCGCTCCACTTGGTTTGTAACGAATGAGGTTGTTGACATTCTAGGATATGGTGATTATATCTTCTGGAAGATCCCTATTGCTCTATTACCAATGAACACAGCTAATGTTCCACATGCATCAACTGACTGGTACCAACCTAATATCTTCAAGGAGGCTATTCAAGGACACACACATATTATTTCAGTCTCTACAGCCGAGGTCCTTATTATGTGTAAGGATCTTGTCACAAGTCGTTTTAATACCCTTCTGATTGCTGAGTTAGCCAGGTTGGAAGATCCAGTGTCTGCTGATTATCCACTAGTAGATAATATTCAATCTCTGTATAACGCAGGAGACTACCTGTTGTCCATATTGGGATCAGAGGGGTACAAAATAATCAAATATCTCGAACCTCTGTGTTTGGCTAAGATTCAACTATGTTCCCAATATACAGAACGAAAAGGGCGGTTTTTAACCCAGATGCATCTTGCAGTTATTCAGACATTGCGTGAACTCCTCCTTAATAGAGGGTTGAAAAAATCACAATTGTCTAAAATCCGCGAGTTTCACCAACTGTTGCTCAGACTCCGATCTACACCACAACAATTATGTGAATTATTTTCAATCCAAAAACACTGGGGCCACCCAGTTCTGCATAGTGAAAAGGCCATCCAAAAGGTTAAAAATCATGCAACAGTTCTAAAGGCATTGCGGCCGATTATCATCTTTGAAACGTATTGTGTATTCAAGTATAGTGTTGCAAAACATTTCTTTGATAGTCAAGGCACTTGGTACAGTGTGATATCAGACCGATGTTTAACGCCGGGATTGAATTCCTACATTAGGCGAAATCAATTCCCTCCACTTCCAATGATCAAAGATCTTTTATGGGAATTTTACCATTTGGATCATCCTCCATTATTCTCCACGAAGATCATTAGTGACCTCAGCATTTTCATTAAAGACCGCGCAACAGCAGTTGAACAAACCTGTTGGGATGCAGTTTTTGAGCCTAACGTTTTGGGCTACAGTCCACCTTATCGATTCAATACCAAACGTGTACCTGAACAATTCCTGGAGCAAGAGGATTTTTCTATTGAGAGTGTCTTACAATACGCCCAAGAACTTAGGTACTTATTGCCCCAGAATCGAAATTTTTCTTTTTCATTGAAGGAAAAAGAATTAAATGTTGGTAGGACATTTGGAAAATTGCCTTATTTAACCAGGAATGTCCAAACCCTCTGCGAAGCATTACTTGCAGATGGTTTGGCTAAAGCCTTTCCAAGCAATATGATGGTTGTCACAGAGAGGGAACAAAAGGAGAGCCTCCTTCACCAAGCATCCTGGCACCATACAAGTGATGATTTCGGAGAGCATGCCACAGTTCGTGGAAGTAGTTTTGTCACAGACCTGGAAAAATACAATCTGGCCTTCAGGTATGAATTCACAGCTCCCTTCATCAAATATTGCAACCAATGCTATGGGGTTCGCAATGTCTTTGATTGGATGCACTTCCTAATTCCGCAATGTTACATGCATGTTAGTGATTATTATAACCCACCACATAATGTAACCTTAGAGAATAGGGAATATCCCCCCGAAGGACCAAGTGCTTATAGAGGCCACCTTGGCGGTATTGAGGGGCTTCAACAAAAGTTATGGACTAGTATCTCATGTGCTCAAATCTCATTGGTAGAGATCAAGACCGGGTTCAAATTGCGATCAGCAGTCATGGGGGATAATCAATGTATTACAGTATTATCAGTCTTTCCACTAGAATCTAGTCCGAATGAGCAGGAGAGATGCGCAGAAGACAATGCAGCCAGAGTGGCTGCTAGCTTGGCCAAAGTCACAAGTGCCTGTGGGATATTCCTCAAGCCTGATGAGACTTTCGTACACTCAGGCTTTATCTATTTTGGCAAAAAGCAATACTTGAACGGAATTCAATTACCTCAATCACTCAAGACAGCAGCTAGGATGGCCCCTCTCTCAGATGCAATTTTTGATGACTTGCAAGGTACACTTGCCAGTATAGGAACTGCCTTTGAGCGATCAATCTCCGAAACTAGACATATTTTACCATGCCGTGTTGCAGCTGCCTTTCATACATATTTCTCTGTTCGGATCTTACAACATCATCACCTTGGTTTCCATAAGGGTTCAGACCTTGGACAATTGGCAATCAATAAACCTCTTGATTTCGGGACCATTGCACTATCCTTAGCAGTTCCTCAGGTATTGGGTGGATTATCCTTCCTAAATCCAGAAAAGTGCCTTTATCGCAACTTGGGTGATCCTGTAACTTCAGGCCTATTTCAGTTGAAGCATTATCTGTCAATGGTGGGTATGAGTGATATCTTTCATGCACTTATTGCAAAAAGCCCAGGGAATTGTAGCGCAATTGACTTTGTTCTAAACCCAGGCGGGTTAAATGTCCCTGGATCACAGGATTTAACATCTTTCCTTCGTCAGATTGTCAGAAGGAGTATCACACTTTCGGCAAGGAACAAGTTAATCAACACGTTATTTCACGCTTCTGCAGATCTTGAAGACGAATTAGTATGTAAATGGTTACTTTCTTCAACGCCCGTGATGAGCCGTTTTGCAGCCGATATTTTCTCACGAACACCAAGCGGGAAAAGATTACAAATCTTGGGATACCTCGAGGGAACCAGAACTTTATTAGCATCCAAAATGATAAGCAATAATGCAGAGACACCAATCTTGGAGAGGCTCAGAAAAATAACACTTCAAAGATGGAATCTATGGTTTAGTTACCTAGACCATTGTGACCCAGCTTTAATGGAAGCAATTCAACCAATTAAGTGTACTGTTGATATTGCTCAAATTCTTAGAGAATACTCCTGGGCTCATATCCTTGATGGTAGACAGTTAATAGGGGCAACACTGCCATGTATACCTGAGCAGTTCCAAACCACATGGTTAAAACCTTACGAGCAATGTGTGGAATGTTCATCCACAAACAATTCTAGTCCATATGTATCAGTTGCATTAAAAAGGAACGTGGTTAGTGCTTGGCCTGATGCATCTAGATTGGGGTGGACGATTGGTGATGGGATTCCCTACATAGGCTCAAGAACTGAGGACAAAATAGGTCAGCCCGCTATTAAGCCGAGGTGCCCATCAGCTGCATTAAGAGAAGCTATTGAATTGACCTCTAGGTTGACCTGGGTCACTCAAGGTAGTGCAAACAGCGATCAGTTAATTCGCCCTTTTCTTGAGGCAAGAGTAAACTTGAGTGTACAAGAGATTCTTCAAATGACCCCCTCACATTACTCCGGTAATATTGTGCATCGGTATAATGATCAGTATAGCCCTCACTCCTTTATGGCTAACCGCATGAGTAACACAGCAACGCGCTTGATGGTATCTACCAACACACTAGGAGAGTTTTCCGGAGGGGGTCAGGCTGCACGTGATAGCAACATTATATTTCAAAATGTGATTAACTTTGCAGTGGCCTTGTATGACATTAGGTTTCGGAACACTTGTACATCTTCTATTCAATATCACAGGGCCCATATTCACCTGACGAATTGTTGTACGAGGGAAGTACCGGCCCAATACTTAACATACACAACCACGCTAAATCTAGATTTGAGTAAGTACCGTAATAATGAACTGATTTATGATTCAGATCCACTAAGAGGAGGTCTCAACTGCAACTTATCGATTGACAGTCCTTTGATGAAGGGCCCACGTTTAAATATTATTGAGGATGACTTAATACGGTTGCCACATTTATCCGGCTGGGAATTAGCAAAAACAGTCTTGCAATCAATAATCTCTGATAGTAGCAATTCATCAACAGATCCCATTAGCAGCGGTGAAACAAGATCCTTCACAACCCACTTCTTAACGTATCCCAAAATAGGGCTTCTATACAGTTTTGGAGCCCTCATAAGTTTTTATTTGGGTAATACTATTCTATGCACGAAAAAGATCGGACTCACAGAATTTCTATACTATCTCCAGAATCAGATCCACAACTTATCACATAGATCCCTTCGAATCTTCAAACCGACATTTAGACACTCAAGTGTCATGTCCAGGTTGATGGATATAGACCCCAACTTCTCAATATATATTGGTGGGACTGCAGGTGACCGTGGATTATCGGACGCTGCAAGATTATTTCTCCGAATTGCAATTTCAACTTTCTTGAGCTTTGTTGAGGAGTGGGTTATCTTTAGGAAGGCAAACATCCCACTATGGGTTATCTATCCTCTCGAAGGCCAACGCTCTGATCCTCCTGGCGAATTTTTGAACCGAGTAAAATCTCTAATTGTTGGGACTGAAGATGATAAAAATAAAGGCTCTATACTTTCAAGATCTGGAGAGAAATGCTCTTCAAATCTAGTTTATAATTGCAAGAGTACAGCAAGCAATTTTTTCCATGCATCATTGGCTTACTGGAGAGGTCGACATAGACCTAAGAAGACTATAGGTGCAACTAACGCGACAACAGCTCCACATATCATTTTGCCACTGGGAAATTCTGATCGACCGCCTGGCCTAGACCTTAATAGGAACAATGATACTTTCATTCCTACCAGAATTAAACAGATAGTCCAAGGAGACTCTAGAAACGACAGAACGACCACCACGAGATTTCCACCCAAAAGTAGGTCCACTCCAACATCAGCAACCGAGCCTCCTACAAAAATGTATGAGGGTTCGACAACCCACCAAGGGAAATTAACAGATACACATTTGGATGAGGATCACAATGCCAAAGAGTTCCCATCCAATCCGCATCGTTTAGTAGTACCATTCTTTAAATTAACAAAAGATGGGGAATACAGCATCGAACCTTCTCCTGAAGAAAGCCGCAGTAATATAAAAGGGTTACTTCAACATTTAAGAACCATGGTTGATACTACCATATATTGTCGCTTCACTGGAATTGTTTCATCAATGCATTATAAGTTAGATGAAGTACTATGGGAATATAATAAATTTGAATCAGCTGTAACCCTAGCAGAAGGGGAGGGTTCAGGTGCCTTACTACTGATCCAAAAATACGGCGTTAAGAAGTTATTTTTGAATACACTTGCTACTGAACATAGTATTGAGAGTGAAGTGATATCAGGTTACACCACTCCAAGGATGCTACTCCCAATTATGCCTAAAACACATCGTGGTGAGCTAGAGGTCATATTAAATAACTCAGCTAGTCAAATAACTGATATTACACATCGAGATTGGTTTTCAAATCAAAAAAATAGGATTCCAAATGATGCTGATATTATTACCATGGATGCTGAAACTACAGAAAACTTAGATCGTTCCAGATTATATGAAGCAGTATATACGATTATTTGTAATCATATCAATCCTAAAACTTTGAAAGTGGTCATCTTAAAAGTCTTCCTCAGCGATTTGGATGGGATGTGCTGGATTAACAATTATCTTGCTCCTATGTTTGGATCAGGATATTTAATCAAACCTATAACATCAAGTGCAAAGTCAAGTGAGTGGTATTTATGCTTATCTAATCTACTTTCAACCTTGAGAACTACTCAGCATCAAACCCAGGCAAACTGTCTCCATGTCGTACAATGTGCTCTTCAACAGCAAGTACAAAGAGGGTCATATTGGCTAAGTCATCTTACCAAATACACCACAAGTAGATTGCACAATAGTTATATTGCATTTGGTTTTCCTTCATTAGAGAAGGTCCTATATCATAGGTATAACCTTGTTGATTCGAGAAATGGACCATTAGTTTCTATAACGAGACACCTTGCCCTCCTCCAAACTGAGATCCGGGAGTTGGTAACTGATTATAATCAGCTGCGACAAAGTCGAACCCAGACTTATCATTTCATAAAAACATCCAAGGGACGGATAACTAAACTAGTGAATGATTATCTAAGATTTGAGTTGGTTATACGGGCTCTTAAAAATAATTCTACATGGCACCATGAGTTATACTTGCTACCAGAACTTATAGGTGTTTGCCATCGATTTAATCATACACGTAACTGTACATGCAGTGAAAGGTTCCTGGTTCAAACTTTATATCTACACCGAATGAGTGATGCTGAGATAAAACTTATGGACCGGCTCACCAGCCTAGTCAATATGTTTCCTGAAGGTTTCAGGTCTAGTTCAGTCTAATTCTAACTGCACCAAAGGCTCTAAAAATATTTTAAATAACCAGGTGTATATCAAAGTCAATACAAGTGTAAAAACAATATGCAAGGGACCACATTTAGGATCAGTTTATTGACTCTTCCAATACACAGAGTTGGAAGCACCGATTCAAGGTTTCTAAGACGCCCTATCGATTATGTTGATAATGTAAATAATAGCTTTTCCTGTCTATTATGACTTAAATAATCATATCTATAACGACCATCACAGCTAAGTCGTTGCCCTAGTTCATATATTAAATTAAAATTTAGAAGCTAGGTTGACTCTAATTACATAAGTATTAAGAAAAAATTACTAAGACTAATACTCTCATGCCAAGAACTAGTAATGTGTTTCACATGACAGATTATTTCTAACACTAAATTGCAATTTCAATTTTAAAGCTAAGTTTAACACCTATACAGCCAAAATATTTCATAGGGCCGATGGGAATAACATAAGAGGAACATGATCAATGAACCCTTTATTCCAACTAGGCAGTTGATTGATAATCTACAAATTCCATAAGATGTTCTTACGATATTCTTTTGTTTTTAATCTCAATGTCAATGATTTAATAAGTAATAATAAAAAAATCACATTAAAGATGCAGGAAGATCTTGACCTCGCCAGGAAAATTAAGCGCACACAAATAAATTAAAAAATCTGTATTTTCTCTTTTTTGTGTGTCCA >Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/COD/1977/Bonduni_complete_genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCACACCTGGTTTGTTTCAGAGCCACATCACAAAGATAGAGAACAACCTAGGTCTCCGAAGGGAGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACACCTAGGTCTTATCACATCACAAGTTCCACCTCAGACTCTGCAGGGTGATCCAACAACCTTAATAGAAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACCTTGGTTTTGAACTTGAACACTTAGGGGATTGAAGATTCAACAACCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAATCTGGATGGCGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAAGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCAGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAGGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGAAAAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACAACTGAAGCTAATGCCGGTCAGTTTCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTCTGATCAAATTTCTCCTAATACACCAAGGGATGCACATGGTTGCCGGGCATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGCTTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTTAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTATCGGCAATTGCACTCGGAGTCGCCACAGCACACGGGAGTACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAACTCAGAGAGGCTGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCAGAGTCTCGCGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCTATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCGTCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTGGTTGATCCCGATGATGGAAGCTACGGCGAATACCAGAGTTACTCGGAAAACGGCATGAATGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACTAAGCCAGTGCCTAATAGATCGACCAAGGGTGGACAACAGAAGAACAGTCAAAAGGGCCAGCATATAGAGGGCAGACAGACACAATCCAGGCCAATTCAAAATGTCCCAGGCCCTCACAGAACAATCCACCACGCCAGTGCGCCACTCACGGACAATGACAGAAGAAATGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACACCAATTAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTGGAGTCAGATGATGAAGAGCAGGACAGGGACGGAACTTCCAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCTGAAAAGAAAGAACTCCCGCAAGACGAGCAACAAGATCAGGACCACACTCAAGAGGCCAGGAACCAGGACAGTGACAACACCCAGTCAGAACACTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCTGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGCAAAGAGTACACGTATCCAGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCTATGAATGAAGAGAATAGATTTGTTACATTGGATGGTCAACAATTTTATTGGCCGGTGATGAATCACAAGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGGAACAATGGGATGATTCAACCGACAAATAGCTAACATTAAGTAGTCAAGGAACGAAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAGGCGTTAAGCCACAGTTATAGCCATAATTGTAACTCAATATTCTAACTAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTCGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGTCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGCGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGAATTCCTGTAAGCGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGACGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCCGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAAACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAACTCATTGGACATCATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCTCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAAAGCTTGCGTCCAGTCCCACCATCGCCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCCCTTCCCTCCGAAAGAGGCGAATAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTACGTTACATTAATGATACACTTGTGAGTATCAGCCCTGGATAATATAAGTCAATTAAACGACCAAGATAAAATTGTTCATATCTCGCTAGCAGCTTAAAATATAAATGTAATAGGAGCTATATCTCTGACAGTATTATAATCAATTGTTATTAAGTAACCCAAACCAAAAGTGATGAAGATTAAGAAAAACCTACCTCGGCTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTAGAGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGGGACACTCCATCGAATCCACTCAGGCCAATTGCCGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTTGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATACACTATCACCCATTTCGGCAAGGCAACCAATCCACTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCATCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCGCCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACCCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACAGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTCAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGAATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCTAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGATTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTATAGAATCTTCTCAGGGATAGTGATAACATCTATTTAGTAATCCGTCCATTAGAGGAGACACTTTTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTTTTTTCTCTCCTAAATGTAGAACTTAACAAAAGACTCATAATATACTTGTTTTTAAAGGATTGATTGATGAAAGATCATAACTAATAACATTACAAATAATCCTACTATAATCAATACGGTGATTCAAATGTTAATCTTTCTCATTGCACATACTTTTTGCCCTTATCCTCAAATTGCCTGCATGCTTACATCTGAGGATAGCCAGTGTGACTTGGATTGGAAATGTGGAGAAAAAATCGGGACCCATTTCTAGGTTGTTCACAATCCAAGTACAGACATTGCCCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTTTTCCAGAGTAGGGGTCGTCAGGTCCTTTTCAATCGTGTAACCAAAATAAACTCCACTAGAAGGATATTGTGGGGCAACAACACAATGGGCGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCACTTGGAGTCATCCACAATAGCACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAAGGGAATGGAGTGGCAACTGACGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCGTGTGCCGGAGACTTTGCCTTCCATAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCTAGTGGCTACTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACCAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATACAAGTGGGAAAAGGAGCAATACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGTTGTATCAAACGGAGCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGGGACCAACACAACAACTGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCAGTGTCGCATCTAACAACCCTTGCCACAATCTCCACGAGTCCCCAATCCCTCACAACCAAACCAGGTCCGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGAACAACATCACCGCAGAACAGACAACGACAGCACAGCCTCCGACACTCCCTCTGCCACGACCGCAGCCGGACCCCCAAAAGCAGAGAACACCAACACGAGCAAGAGCACTGACTTCCTGGACCCCGCCACCACAACAAGTCCCCAAAACCACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTCGCAGGACTGATCACAGGCGGGAGAAGAACTCGAAGAGAAGCAATTGTCAATGCTCAACCCAAATGCAACCCTAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGACTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAGGGAATTTACACAGAGGGGCTAATGCACAATCAAGATGGTTTAATCTGTGGGTTGAGACAGCTGGCCAACGAGACGACTCAAGCTCTTCAACTGTTCCTGAGAGCCACAACTGAGCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATTTCTTGCTGCAGCGATGGGGCGGCACATGCCACATTCTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGCGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTTTTTCTTCAGATTGCTTCATGGAAAAGCTCAGCCTCAAATCAATGAAACCAGGATTTAATTATATGGATTACTTGAATCTAAGATTACTTGACAAATGATAATATAATACACTGGAGCTTTAAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCTAGTTATCTCTTTGAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAATCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAGTGACAAGGGAAAGAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCGAACCGGTAGAGTTTAGTTGCAACCTAACACACATAAAGCATTGGTCAAAAAGTCAATAGAAATTTAAACAGTGAGTGGAGACAACTTTTAAATGGAAGCTTCATATGAGAGAGGACGCCCACGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGATCACCAGTTGGAGAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCAGAACCATAGAGGATTCAAAATTAAGAGCATTGTTGACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTATGTGAGACACACCTAAGGCGCGAGGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATTGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCGTTTCAAATTAATAAGATGTGCATGATTGCCCTAATATATGAAGAGGTATGATACAACCCTAACAGTGATCAAAGAAAATCATAATCTCGTATCGCTCGTAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTTACTCTACAGGAGGTAGCAACGATCCATCCCATCAAAAAATAAGTATTTCATGACTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTATGCTTCAAGCTGTGGAGGAGGTGTTTGGTATTGGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAAGAGGTAGATTGTGACCGGAAATGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAGTACTATTTCAGGGTAGTCCAATTAGTGGCACGTCTTTTAGCTGTATATCAGTCGCCCCTGAGATACGCCACAAAAGTGTCTCTAAGCTAAATTGGTCTGTACACATCCCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCGTTTAAAATTTAGTGCATAAATCTGGGCTAACACCACCAGGTCAACTCCATTGGCTGAAAAGAAGCTTACCTACAACGAACATCACTTTGAGCGCCCTCACAATTAAAAAATAGGAACGTCGTTCCAACAATCGAGCGCAAGGTTTCAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATTGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCTAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGCCAAACTATTCAGGGGTGGAAGGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAATCTCTTTCCTCATTTATTTCAAAATCCGAATTCCACAATTGAATCACCGCTGTGGGCATTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGCTGATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAACGGATTGTTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCATGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGATCCTCGACACGAATGCAAAGTTTGATTCTTGAATTTAATAGCTCTCTTGCTATCTAACTAAGGTAGAATACTTCATATTGAGCTAACTCATATATGCTGACTCAATAGTTATCTTGACATCTCTGCTTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAACAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATATGAATAAGCATTTTATCACCAGAAATCCTATATACTAAATGGTTAATTGTAACTGAACCCGCAGGTCACATGTGTTAGGTTTCACAGATTCTATATATTACTAACTCTATACTCGTAATTAACATTAGATAAGTAGATTAAGAAAAAAGCCTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGAAATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCTAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTAGTCACTAGAGCTTGCGGGTTATATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTGAAATACGATGTAACTGTTACCAAGTTCTTGAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAGTTCTTCTCAAGGCACTGTCAGGCAATGGATTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATCATTAAGTACACAATGCAAGATGCTCTCTTCTTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGAACACTTTCAAGAGAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGATCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACATGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCAATGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGACTGGTATCAGGCATCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGATTGAGGATCCAGTTTGTTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATTATTAAGTTCCTCGAACCATTGTGCTTGGCCAAAATTCAATTATGCTCAAAGTACACTGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTAGAAGAAATTACAGAAATGCGTGCACTAAAGCCTTCACAGGCTCAAAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATTCAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATAGTGATTTTCGAGACATACTGTGTTTTTAAATATAGTATTGCCAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACTTCAGATAGGAATCTAACACCGGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTACTATGGGAATTTTACCACCTTGACCACCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACCGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTTAGTACTAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCACAAAAACTCGAGTATCTACTACCACAATATCGGAACTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACCTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAGCAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTTGGTGAACATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGATATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCACATAACCTCACACTGGAGAATCGAGACAACCCCCCCGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGGTGACAATCAGTGCATTACTGTTTTATCAGTCTTCCCCTTAGAGACTGACGCAGACGAGCAGGAACAGAGCGCCGAAGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGCACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGGATAACCGCAGCTTTCCATACGTTTTTTTCGGTGAGAATCTTGCAATATCATCATCTCGGGTTCAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGCTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTCCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGCAGGACCATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCGTCAGCTGACTTCGAAGACGAAATGGTTTGTAAATGGCTATTATCATCAACTCCTGTTATGAGTCGTTTTGCGGCCGATATCTTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACCTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAGACACCGGTTTTGGACAGACTGAGGAAAATAACATTGCAAAGGTGGAGCCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATTCTGAGGGAATATTCATGGGCTCATATTTTAGAGGGAAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGTTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCAAAGCAACCAGGTGGGAAACCATTCGTGTCAGTGGCAGTCAAGAAACATATTGTTAGTGCATGGCCGAACGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGACAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCAGGAAATATTGTTCACAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAATTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAGTCTGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAATATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAAGTACCAGCTCAGTATTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAACGAATTGATTTATGACAGTAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTCGATAATCCATTTTTCCAAGGTAAACGGCTGAACATTATAGAAGATGATCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCCAAGACCATCATGCAATCAATTATTTCAGATAGCAACAATTCATCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACTCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGGTTAATGAGTATTGATCCTCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAAGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCGCTAGAGGGTCAAAACCCAACACCTGTGAATAATTTTCTCTATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACAACAGGCTTTTAAAACTACCATAAGTGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCATCATTGGCGTACTGGAGGAGCAGACACAGAAACAGCAACCGAAAATACTTGGCAAGAGACTCTTCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTGAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAATCTAGTCCTACAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAAAACACGCACCAGGGTCCGTCGTTCCAGTCCTTTCTAAGTGACTCTGCTTGTGGTACAGCAAATCCAAAACTAAATTTCGATCGATCGAGACACAATGTGAAATTTCAGGATCATAACTCGGCATCCAAGAGGGAAGGTCATCAAATAATCTCACACCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGACGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGATTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAGTTTCAAGTCGGCTGTGACGCTAGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAAGCAAGTCGAGGTTATAACCATGGATGCAGAGACAACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAATTGATCTTACACCATATTGATCCTAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACTGAGGGTATGTTATGGCTAAATGATAATTTAGCCCCGTTTTTTGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGCTAGATCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAACAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGAAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGTGAGTTACATTTAAGTTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTCGTCGATTCAAAAAGAGGTCCACTAGTCTCTATCACTCAGCACTTAGCACATCTTAGAGCAGAGATTCGAGAATTAACTAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTACCATATTAGAGATTGCAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCGGATGGTCTCTACAGGTTTGATTGAATTACCGTGCATAGTATCCTGATACTTGCAAAGGTTGGTTATTAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATATTGATCTAATCTCAATAAACAACTATTTAAATAACGAAAGGAGTCCCTATATTATATACTATATTTAGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATGCAGCATGTGTGACATATTACTGCCGCAATGAATTTAACGCAACATAATAAACTCTGCACTCTTTATAATTAAGCTTTAACGAAAGGTCTGGGCTCATATTGTTATTGATATAATAATGTTGTATCAATATCCTGTCAGATGGAATAGTGTTTTGGTTGATAACACAACTTCTTAAAACAAAATTGATCTTTAAGATTAAGTTTTTTATAATTATCATTACTTTAATTTGTCGTTTTAAAAACGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACCTTAACATTTTTGTCTAGTAAGCTACTATTTCATACAGAATGATAAAATTAAAAGAAAAGGCAGGACTGTAAAATCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGACATTGACCACGCTCATCAGAAGGCTCGCCAGAATAAACGTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA >Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/COD/2007/43_Luebo_complete_genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCACACCTGTTTTGTTTCAGAGCCATGTCACAAAGATAGAGAACAACCTAGGTCTCCGAAGGGAGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGTCTTATCACATCACAGGTTCCACCTCAGGCTCTGCAGGGTGATCCAACAACCTTAATAGAAACATTATTGTTAAAGGACAACATTAGGTCACAGTCAAACAAGCAAGATTGAGAATTAACCTTGATTTTGAACTTGAACACCTAGAGGATTGGAGATTCAACAACCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTAACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCAAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCAGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGAAAAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGCCAGTTTCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTCTTGATCAAATTTCTCCTAATACACCAAGGGATGCACATGGTTGCCGGGCATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTTTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTTAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTCTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTATCGGCAATTGCACTCGGAGTCGCCACAGCACACGGGAGCACCCTCGCAGGAGTAAATGTGGGAGAACAGTATCAACAGCTCAGAGAGGCTGCCACTGAAGCTGAGAAGCAACTCCAACAATATGCAGAGTCTCGCGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATCCTTATGAACTTCCATCAGAAGAAGAACGAAATCAGCTTCCAGCAAACAAACGCTATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACCGCTGCGTCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCTATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGATCCCGATGATGGAAGCTACGGCGAATACCAGAGTTACTCGGAAAACGGTATGAATGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACTAAGCCAGTGCCTAACAGATCGACCAAGGGTGAACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCAGGCCAACTCAAAATGTCCCAGGCCCTCGCAGAACAATCCACCATGCCAGCGCTCCACTCACGGACAATGACAGAAGAAATGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACACCAATTAACGAGGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCCAGCCTTCCGCCCTTGGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCCAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCTGAAAAGAAAGAACTCCCGCAAGATGAGCAACAAGACCAGGACCACACTCAAGAGGCCAAGAACCAGGACAGTGACAACACCCAGCCAGAACACTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAAGGGCCATTTGATGCTGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGCAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAATGAAGAGAATAGATTTGTTACATTGGATGGTCAACAATTTTATTGGCCGGTAATGAATCACAAGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGGAATAATGGGATGATTTAACCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAGGCGTTAAGCCACAGTTATAACCATAATTGTAACTCAATATCTTAGCTAGTGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACTTATTAGCCCGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTCGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTAGTCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCTAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGAATTCCTGTAAGCGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAAACGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGACGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGGGAGGCATTCAGCAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAGTTAGTACAAGTGATTTGTAAATTGGGAAAGGATAGCAACTCATTGGACATCATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCTCCTCAATGTGCCCTAATTCAAATCACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTACGTCCAGTCCCGCCATCGCCCAAGATTGATCGAGGTTGGATATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCCCTTCCCTCCGAACGAGGCGACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTACGTTACATTAATGATACACTTGTGAGCATCAGCCCTAAATAATATAAGTCAATTAAACGACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTAAAATATAAATGTAATAGGAGCTATATCTGTGACAGTATTATAATCAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTCCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCATCAAATCCACTCAGACCAATTGCTGATGACACCATCGACCATGCTAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTTGAAGCTATGGTGAATGTCATATCGGGCCCTAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCACTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCGCCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACCCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACAGGATCAAACGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAATGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATTATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCTAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGCTCGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGGTAACATCTATTTAGTAATCCGTCTATTAGAGGAGATACTTTTAATTGATCAATATACTAAAGGTGCTTTACACCGTTGTCTCTTTTTTCTCCTAAATGTAGAACTTAACAAAAAACTCATAATATACTTGTCTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAATAATCCTACTATAATCAATACGGTGATTCAAATGTTAATCTTTCTCATTGCACATACTCTTTGCCCTTATCCTCAAATTGCCTACATGCTTACATTTGGGGATAACCAGTGTGACTTGGATTGGAGATGTGAAGAAAAAATCGGGACCCATTTCTAGGTTGTTCACAATCCAGGTACAGACATTGCCCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTTTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATCGTATAACCAAAGTAAACTTCACTAGAAGGATATTGTGGGGCAACAACACAATGGGTGTCACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCACTTGGAGTCATCCACAATAGCACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAAGGGAATGGAGTGGCAACTGATGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACAGGACCGTGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATTTACCGAGGGACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCTAGTGGCTACTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACCAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAAAGGAGCAACACCACGGGAAAACTAATTTGGAAAGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGAGCCAAAAACCTCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAAAGACCAACACAACAACTGAAGACCACAAAATCGTGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCCCCCACAACCAAACCAGGTCCGGACAACAGCACTTATAATACACCCGTATATAAACTTGACACCTCTGAGGCAACTCAAGTTGAACAACATCACCGCAGAACAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACACCCAAAAGCAGAGAACACCAACACGAGCAAGAGCGCTGACTCCCTGGACCCCGCCACCACGACAAGTCCCCCAAACCACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTCGCAGGACTGATCACAGGCGGGAGAAGAACTCGAAGAGAAGCAATTGTCAATGCTCAACCCAAATGCAACCCTAACTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAGGGAATTTACACAGAGGGGCTAATGCACAATCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAGACGACTCAAGCTCTTCAACTGTTCCTGAGAGCTACAACTGAGCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATTTCTTGCTGCAGCGATGGGGCGGCACATGCCATATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGCGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTTTTTCTTCAGATTGCTTCATGGCAAAGCTCAGCCTCAAATCAATGAAATTAGGATTTAATTATATGGATCACTTGAATCTAAGATTACTTGACAAATGATAATATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCTAGTTATATCTTTGAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAATCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAGTGACAAGGGAAAGAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCGAACCGGTAGAGTTTAGTTGCAACCTAACACACATAAAGCATTGGTCAAAAAGTCAATAGAAATTTAAACAGTGAGTGGAGACAACTTTTAAATGGAAGCTTCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGATCACCAGTTGGAAAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCAGAACCATAGAGGATTCAAAATTAAGAGCATTGTTGACTCTATGTGCCGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTATGTGAGACACACCTAAGGCGCGAGGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTGTATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCGTTTCAAATTAATAAGATATGCATAATTGCCTTAATATATGAAGAGGTATGATACAACCCTAACAGTGACAAAAGAAAATCATAATCTCGTATCGCTCGTAATATAACCTGCCAAGCATACCTCTTACACAAAGTGATTCTTGTACACAAATAATGTTTTACTCTACAGGAGGTAGCAACGATCCATCCCATCGAAAAATAAGTATTTTATGACTTACTAATGATCTCTTATAATATTAAGAAAAACTGATGGAACATAAATCCTTTCTACTTCAAGTTGTGGAGGAGGTCTTTGGTATTGGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAAGAAGTAGATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCTCTCCAGCAAAGCACTATTTCAGGGTAGTCCAATTAGTGACACGTCCTTTAGCTGTATACCAGTCGCCCTTGAGATACGCCACAAAAGTGTCTCCAAGCTAAATTGGTCTGTACACATCTCATACATTGTATTAGAGGCAATAGTATCTAACTGAACTTAGCCGTTTAAAATTTAGTGCATAAATCTGGGCTAACTCCCCCAGGTTAACTCCATTAGCTGAAAAGAAGCCCACCCACAACGAACATCACTTTGAGCGCCCTCACAATTTAAAAATAGGAGCGTCGTTCCAACAATCGAGCGCAAGGTTTCAGGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCTAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACTATTCAAGGGTGGAAGGTCTATTGGGCTGGTATTGAGTTTGATGTGACTAACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCGATGACAAGGAATCTATTTCCTCATTTATTTCAAAATCCGAATTCTACAATTGAATCACCGCTGTGGGCATTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGCTGATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAACGGATTGTTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCAACACGAATGCAAAGTTTGATTCTTGAATTTAATAGCTCTCTTGCTATCTAACTAAGATAGAATACTTCATATTGAGCTAACTCATATATGCTGACTCAATGGTTATCTTGACATCTCTGCTTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAAGCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTACTTTATTATATGAATAAGCATTTTATCACCAGAAATCCAATATACTAAATGGTTAATTGTAACTGAACCCGCAGGTCACGTGTGTTAGGTTTCACAGATTATATATATTACTAACTCTATACTCGTAATTAACATTAGATAAGTAGATTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTAGTCACTAGAGCTTGCGGGTTATATTCATCATACTCCCTTAATCCACAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTAAAATATGATGTAACTGTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTGTCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATCATTAAGTACACAATGCAAGATGCTCTCTTCTTGAAATATTACCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAGAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACATGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCGATTTCAATGTTACCACTGAACTCACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGGCATCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGATCCAGTTTGTTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATTATTAAGTTCCTCGAACCATTGTGCTTGGCCAAAATTCAATTATGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATGCGTGCGCTAAAGTCTTCACAGGCACAAAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATTCAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCAGAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATAGTGATTTTCGAGACATATTGTGTTTTTAAATATAGTATTGCAAAACATTATTTTGATAGTCAAGGGTCTTGGTACAGTGTTACTTCAGATAGGAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTACTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGATTTAAGTATTTTTATAAAAGACAGAGCTACCGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTCAGTACTAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAGCAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTTGGTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGATATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCGCATAACCTCACACTGGAAAATCGAGACAACCCCCCCGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGACGCAGACGAGCAGGAACAGAGCGCCGAAGACAATGCAGCGAGGGTGGCTGCCAGCCTAGCAAAAGTTACAAGTGCTTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGCACTGCTTTTGAGCGATCCATCTCTGAGACACGACACATCTTTCCTTGCAGGATAACCGCAGCTTTCCATACGTTTTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTCAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCGTTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGCTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGCTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGTTAAATCCTAGCGGATTAAATGTCCCTGGGTCACAAGACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCGTCAGCTGACTTCGAAGACGAAATGGTTTGTAAATGGCTATTATCATCAACTCCTGTTATGAGTCGTTTTGCAGCCGATATTTTTTCACGTACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACCTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAGACACCGGTTTTGGACAGACTGAGGAAAATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTTTGGTTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCAAAGCAACCTGGTGGGAAACCATTCGTGTCAGTGGCAGTCAAGAAACATATTGTTAGTGCATGGCCGAACGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGACAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCAGGAAATATTGTTCACAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAATTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGTGGTGGCCAGTCTGCACGTGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAATATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAAGTACCAGCTCAGTATTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAACGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTTAATTGCAATATCTCATTCGATAACCCATTTTTCCAAGGTAAACGGCTGAACATTATAGAAGATGATCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCCAAGACCATCATGCAATCAATCATTTCAGATAGCAACAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGATCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGGTTAATGAGTATTGATCCTCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGATTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAAGAATGGATAATTAATCGCGGGACAATTGTCCCTTTATGGATAGTATATCCGCTAGAGGGTCAAAACCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAATTGCTGGTGCATGATTCATCAAGACAACAGGCTCTAAAAACTACCATAAGTGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAATACTTGGCAAGAGATTCTTCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTGAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGGTGGCACTGAACGGAATCTAGTCCTACAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAAAACACGCACCAGGGTCCGTCATTCCAGTCATTTCTAAGTGACTCTGCTTGTGGTACAGCAAATTCAAAACTAAATTTCGATAGATCGAGACACAATGTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGATCATCAAATAATCTCACACCGTCTAGTCCTACCCTTCTTTACATTATCTCAAGGGACACGCAAATTAACGTCATCCAATGAGTCACAAACCCAAGACGAGATATCAAAATACTTACGGCAATTAAGATCCGTAATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCTATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAGTTTTAAGTCGGCTGTGACGCTAGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAGTTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTTATAACCATGGACGCAGAGACAACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAATTGATCTTACACCATATTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACTGAGGGTATGTTATGGCTAAATGATAATTTAGCCCCGTTTTTTGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGCTAGATCTAGTGAATGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAACAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGTTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTCGTCGATTCAAAGAGAGGTCCACTAGTCTCTATCACTCAGCACTTAGCACATCTTAGAGCAGAGATTCGAGAATTGACTAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTATCATATTAGAGATTGCAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATTGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCGGATGGTCTCTACAGGTTTGATTGAATTACCGTGTATAGTATCCTGATACTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATATTGATCTAATTTCAATAAATAACTATTTAAATAACAAAAGAGGTCCTTATATTATACACTGTATTTAGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATGCAGCATGTGTGACATATTACTGCCGCAATGAATCTAACACAACATAATAAACTCTGCACTCTTTATAATTAAGCTTTAATGAAAGGTCTGGGCTCATATTGTTATTGATATAATAATGTTGTATCAATATCCTGTCAGGTGGAATAGTGTTTTGGTTGATAACACGACTTCTTAAAACAAAATTGATCTTTAAGATTAAGTTTTTTATAATTATCATTACTTTAATTTGTCGATTTAAAAATGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGATTGGGTGTAATAACTTTAACTTTTTGTCTAGTAAGCTACTATTTCATACAGAACGATAAAATTAAAAGAAAAGGCATGATTGTAAAATCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGACATTGACCACGCTCATCAGAAGGCTCGCCAGAATAAACGTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA >Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/1Eko_complete_genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCACACCTGGTTTGTTTCAGAGCCACATCACAAAGATAGAGAACAACCTAGGTCTCTGAAGGGAGCAAGGGCATCAGTGTGCTCAGTTGAAGATCCCTTGTCAACATCTAGGTCTTATCACATCACAAGTTCCACCTCAGACTCTGCAGGGTGATCCAACAACCTTAATAGAAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACCTTGGTTTTGAACTTGAACACTTAGAGGATTGGAGATTCAACAACCCTAAAGCTTGGGGTAAAGCATTGGAAATAGTTGAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAGATTTGCCAACTTATCATACAGGCCTTTGAAGCAGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAGGGAGATTGCAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGAAAAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACAACTGAAGCCAATGCCGGTCAGTTTCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTCCTAATACACCAAGGGATGCACATGGTTGCCGGGCATGATGCCAACGACGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTTTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTTAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTATCAGCAATTGCACTCGGAGTCGCCACAGCACACGGGAGTACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAACTCAGAGAGGCTGCCACTGAGGCTGAGAAGCAACTCCAACAATACGCAGAGTCTCGCGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAATTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCTATGGTAACTCTAAAGAAAGAGCGCCTGGCCAAGCTGACGGAAGCTATCACTGCTGCGTCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTGGTTGATCCCGATGATGGAAGCTACGGCGAATACCAGAGTTACTCGGAAAACGGCATGAATGCACCAGATGATTTGATCCTATTCGATCTAGACGAGGACGATGAGGACACTAAGCCAGTGCCTAATAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCAGGCCAACTCAAAATATCCCAGGCCCTCACAGAACAATCCACCACGCAAGTGCTCCACTCACGGACAATGACAGAAGAAATGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACACCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTGGAGTCAGATGAAGAAGAACAGGACAGGGACGGAACCTCCAATCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCTGAAAAGAAAGAACTCCCGCAAGATGAGCGACAAGATCAGGACCACACTCAAGAGGCCAGGAACCAGGACAGTGACAACACCCAGCCAGAACACTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCTGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGCAAAGAGTACACGTATCCAGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCTATGAATGAAGAGAATAGATTTGTTACATTGGATGGTCAACAATTTTATTGGCCGGTAATGAATCACAAGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGGAACAATGGGATGATTCAACCGACAAATAGCTAACATTAAGTAGTCAAGGAACGAAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAGGCGTTAAGCCACAGTTATAGCCATAATTGTAACTCAATATCCTAACTAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTACCCAACATTTACACGATCATTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTCGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGTCTAACAAGATGACAACCAGAACAAAGAGCAGGGGCCACACTGCGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGAATTCCTGTAAGCGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGACGCGCAACAGTCAAACCCAAACGGATCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTAGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCCGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAACTCATTGGACATCATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCTCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAAAGCTTGCGTCCAGTCCCACCATCGCCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCCCTTCCCTCCGAAAGAGGCGACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTACGTTACATTAATGATACACTTGTGAGTATCAGCCCTGGATAATATAAGTCAATTAAACGACCAAGATAAAATTGTCCTTATCTCGCTAGCAGCTTAAAATATAAATGTAATAGGAGCTATATCTCTGACAGTATTATAATCAATTGTTATTAAGTAACCCAAACCAAAAGTGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTCCATTGACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTAGAGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGGGACACTCCATCGAATCCACTCAGGCCAATTGCCGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTTGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACTAATCCACTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGACTCCTGCGAATTGGAAACCAGGCCTTCCTCCAGGAGTTCGTTCTTCCGCCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACCCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACAGGATCAAATGGAGCGTTGCGCCCAGGAATTTCATTTCATCCAAAACTGCGCCCCATTCTTTTACCCAACAAGAGTGGGAAGAAGGGGAATAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGAATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCTAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGTTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCGAGTCTTCCAGCTGTGATTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTATTTAGTAATCCGTCCATTAGAGGAGATACTTTAAATTGATCGATATACTAAAGGTGCTTTACACCATTGTCTTTTTTCTCTCCTAAATGTAGAACTTAACAAAAGACTCATAATATACTTGGTTTTAAAAGATTGATTGATAGAAGATCATAACTAATAACATTACAAATAATCCTACTATAATCAATACGGTGATTCAAATGTTAATCTTTCTCATTGCGCATACTCTTTGCCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGATAGCCAGTGTGACTTGGATTGGAGATGTGGAGAAAAAATCGGGACCCATTTCTAGTTTGTTCACCATCCAAGTACAGACATTGCCCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCCTCCAGAGCAGGGATCGTCAGGTTCTTTTCAATCGTATAACCAAAATAAACTTCACTAGAAGGATATTGTGGGGCAACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCACTTGGAGTCATCCACAATAGCACATTACAGGTTAGTGATGTCGACAAACTGGTTTGCCGTGACAAACTGTCATCCACGAATCAATTGAGATCAGTTGGACTGAATCTCGAAGGGAATGGAGTGGCAACTGACGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAAGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCGTGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTGGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCTAGTGGCTACTATTCTACCACAATTAGATATCAGGCTACCGGCTTTGGAACCAATGAGACAGAGTATTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATACAAGTGGGAAAAGGAGCAATACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACAGAGCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGGGACCAACACAACAACTGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCTTCAACCCCCCACAACCAAACCAGGTCCGGACAACAGCACCCACAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGAACAACATCACCGCAGAACAGACAACGCCAGCACAACCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCCTAAAAGCAGAGAACACCAACACGAGCAAGGGCACTGACCTCCTGGACCCCGCCACCACAACAAGTCCCCAAAACCACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTCGCAGGACTGATCACAGGCGGGAGAAGAACTCGAAGAGAAGCAATTGTCAATGCTCAACCCAAATGCAACCCTAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGACTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAGGGAATTTACACAGAGGGGCTGATGCACAATCAAGATGGTTTAATCTGTGGGTTGAGACAGCTGGCCAACGAGACGACTCAAGCTCTTCAACTATTCCTGAGAGCCACAACCGAGCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATTTCTTGCTGCAGCGATGGGGCGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACTAAGAACATAACGGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAGTGGATACCGGCAGGTATTGGAGTTACAGGCGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTTTTTCTTCAGATTGCTTGATGGCAAAGCTCAGCCTCAAATCAATGAAACCAGGATTTAATTATATGGATTACTTGAATCTAAGATTACTTGACAAATGATAATATAATACACTGGAACTTTAAACATAGCCAATGTGATTCTAACTCTTTTAAACTCACAGTTAATCATAAATAAGGTTTGACATCAATCTAGTTATCTCTTTGAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAATCTTCATCCTTGATTCTACAATCATAACAGTTATCTTTAGTGACAAGGGAAAGAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCGAACCGGTAGAGTTTAGTTGCAACCTAACACACATAAAGCATTGATCAAAAAGTCAATAGAAATTTAAACAGTGAGTGGAGGCAACTTTTAAATGGAAGCTTCATATGAGAGAGGACGCCCACGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGATCACCAGTTGGAGAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCAAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACTCTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCAGAACCATAGAGGATTCAAAATTAAGAGCATTGTTGACTCTATGTGCTGTGATGACGAGGAAGTTCTCAAAATCCCAGCTGAGTCTTTTATGTGAGACACACCTAAGGCGCGAGGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCGCTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATCACCTTCTACTTGATCACAATACTCCGTATACCTGTTATCATATATTTAATCAAGACGATATCCTTTAAGACTTATTCAGTACTATAATCACTCTCGTTTCAAATTAATAAGATGTGCATGATTGCCTTAATATATGAAGAGGTATGATACAACCCTAACAGTGACCAAAGAAAATCATAATCTCGTATCGCTCGTAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTTACCCTACAGGAGGCAGCAACGATCCATCCCATCAAAAAATAAGTATTTTATGACTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTGTTTGGTATTTGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAAGAGGTAGATTGTGGCCGGAAATGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAGTACTATTTCAGGGTAGTCCAATTAGTGACACGTCCCTTAGTTGTATATCAGTCGCCCCTGAGATACGCCACAAAAGTGTCTCTAAGCTAAATTGGTCTGTACACATCCCATACATTGTATTGGGGGCAATAATATCTAATTGAACTTAGCCGTTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGTTGAAAAAAGGCCTACCTACAACGAACATCACTTTGAGCGCCCTCACATTTAAAAAATAGGAACGTCGTTCCAACAATCGAGCGCAAGGTTTCAAAGTTGAACTGAGAGTGTCTAGACAACAAAGTATCGATACTCCAGACACCAGGCAAGACCTGAGAAAAAACCATGGCTAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAAAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGCCAAACTATTCAGGGGTGGAAGGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAATCTCTTTCCTCATTTATTTCAAAATCCGAATTCCACAATTGAATCACCGCTGTGGGCATTGAGAGTCATCCTTGCAGCAGGGATACAAGACCAGCTGATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAACGGATTGTTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGATCCTCGACACGAATGCAAAGTTTGATTCTTGAATTTAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGAGCTAACTCATATATGCTGACTCAATAGTTATCTTGACATCTCTGCTTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATTCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATCATATGAATAAGTATTTTATCACCAGAAACCTTATATACTAAATGGTTAATTGTAACTGAATCCGCAGGTCACATGTGTTAGGTTTCACAGATTCTGTATATTACTAACTCTATACTCGTAATTAACATTAGATAAGTAGATTAAGAAAAAAGCCTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGAAATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCGGACGCTAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTAGTCACTAGAGCTTGCGGGTTATATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTGAAATACGATGTAACTGTTACCAAGTTCTTGAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTGTCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAGATCATCAAGTACACAATGCAAGATGCTCTCTTCTTGAAATACTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAGAAAATCTTATCTGCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGATCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACATGGTTTGTTCATGATGATTTAATAGACATCTTAGGTTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCAATGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGACTGGTATCAGGCATCAGTATTCAAAGAAGCAGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACGACTCTAATCTCAAAAATAGCAGAGATTGAGGATCCAGTTTGTTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGATCTGATGGGTATAAAATTATTAAGTTCCTCGAACCATTGTGCTTGGCCAAAATTCAATTATGCTCAAAGTACACCGAGAGGAAAGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTAGAAGAAATTACAGAAATGCGTGCACTAAAGCCTTCACAGGCTCAAAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATTCAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATAGTGATTTTCGAGACATACTGTGTTTTTAAATATAGTATTGCCAAACATTATTTTGATAGCCAAGGGTCTTGGTACAGTGTTACTTCAGATAGGAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTACTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACCGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTTAGTACTAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAAAATGTTCTTTCCTACGCGCAAAAACTTGAGTATCTACTACCACAATATCGGAACTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACCTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTGGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAGCAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACGCAAGTGATGATTTTGGTGAACATGCCACAGTTAGAGGGAGTAGTTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGATATGAGTTTACAGCACCTTTTATCGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCACATAACCTCATACTGGAAAATCGAGACAACCCCCCCGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGGCGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGACGCAGACGAGCAGGAACAGAGTGCCGAAGACAATGCAGCGAGGGTGGCCGCTAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTAGCTAGTATAGGCACCGCTTTTGAGCGGTCCATTTCTGAGACACGACATATCTTTCCTTGCAGGATAACCGCAGCTTTCCATACATTTTTTTCGGTGAGAATCTTGCAATATCATCATCTCGGGTTCAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGTAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGATTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGCTTATTCCAGTTAAAAACTTATCTCCGAATGATTGGGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTCCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGCAGGACCATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCGTCAGCTGACTTCGAAGACGAAATGGTTTGTAAATGGCTATTATCATCAACTCCTGTTATGAGTCGTTTTGCGGCCGATATCTTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACCTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACAATAATCCAGAGACACCGGTTTTGGACAGACTGAGGAAAATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCTCATATTTTAGAGGGAAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGTTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCGAAGCAACCAGGTGGGAAACCATTCGTGTCAGTGGCAGTCAAGAAACATATTGTTAGTGCATGGCCGAACGCGTCCCGACTAAGCTGGACTATCGGGGATGGAATCCCTTACATTGGATCAAGGACAGAAGATAAGATAGGACAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAGCCATTTTTGGAAGCACGAGTAAATTTGAGTGTTCAAGAAATACTTCAAATGACTCCTTCACATTACTCAGGAAATATTGTTCACAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGCATGAGTAATTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAGTCTGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAATATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAAGTACCAGCTCAGTATTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAACGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTCGATAACCCATTTTTCCAAGGTAAACAGCTGAACATTATAGAAGATGATCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCCAAGACCATCATGCAATCAATTATTTCAGATAGCAACAATTCATCTACAGACCCAATTAGCAGCGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAACACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGGTTAATGAGTATTGATCCTCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCTATTTCATCTTTTCTTACATTTGTAAAAGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCGCTAGAGGGTCAAAACCCAACACCTGTTAATAATTTTCTCTATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACGACAGGCTTTTAAAACTACCATAAGTGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCATCATTGGCATACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAATACTTGGCAAGAGACTCTTCAACTGAATCAAGCACAAACAACAGTGATGGTCATATTGAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAATCTAGTTCTACAAATGAGCCATGAAATAGAAAGAACGACAATTCCACAAGAAAACACGCACCAGGGTCCGTCGTTCCAGTCCTTTCTAAGTGACTCTGCTTGTGGTACAGCAAATCCAAAACTAAATTTCGATCGATCGAGACACAATGTGAAATCTCAGGATCATAACTCGGCATCCAAGAGGGAAGGTCATCAAATAATCTCGCACCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTGACGTCATCCAATGAGTCACAAACCCAAGACGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAGTTTTAAGTCGGCTGTGACGCTAGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATAACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAAGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAACTGATCTTACACCATATTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACTGAGGGTATGTTATGGCTAAATGATAATTTAGCCCCGTTTTTTGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGCTAGATCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGAAAGATGCCACACCAAAACCATCTCAGTTGTAAACAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGTGATTTACATTTAAGTTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTCGTCGATTCAAAAAGAGGTCCACTAGTCTCTATCACTCAGCACTTAGCACATCTTAGAGCAGAGATTCGAGAATTAACTAATGATTATAATCAACAGCGACAAAGTCGAACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTACCATATTAGAGATTGCAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTGAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCGGATGGTCTCTACAGGTTTGATTGAATTACCGTGCATAGTATCCTGATACCTGCAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATATTGATCCGATTTCAATAAACAACTATTTAAATAACGAAAGGAGTCCCTATATTATACACTATATTTAGCCTCTCTCCCTGCTTGATAATCAAAAAATTCACAATGCAGCATGTGTGACATATTACTGCCGCAATGAATTTAACGCAACATAATAAACTCTGCACTCTTTATAATTAAGCTTTAACGAAAGGTCTGGGCTCATATTGTTATTGATATAATAATGTTATATCAATATCCTGTCAGATGGAATAGTGTTTTGGTTGATAACACGACTTCTTAAAACAAAATTGATCTTTAAGATTAAGTTTTTATAATTATCATTACTTTAATTTGTCGATTTAAAAATGGTGATAGACTTAATCTCTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTTCATACAGAATGATAAAATTAAAAGAAGAGGCAGGACTGTAAAATCATAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGACATTGACCACGCTCATCAGAAGGCTCGCCAAAATAAACGTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA >Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/2Nza_complete_genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCACACCTGGTTTGTTTCAGAGCCACATCACAAAGATAGAGAACAACCTAGGTCTCTGAAGGGAGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGTCTTATCACATCACAAGTTCCACCTCAGACTCTGCAGGGTGATCCAACAACCTTAATAGAAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACCTTGGTTTTGAACTTGAACACTTAGAGGATTGGAGATTCAACAACCCTAAAGCTTGGGGTAAAGCATTGGAAATAGTTGAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAGATTTGCCAACTTATCATACAGGCCTTTGAAGCAGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAGGGAGATTGCAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGAAAAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACAACTGAAGCTAATGCCGGTCAGTTTCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTCCTAATACACCAAGGGATGCACATGGTTGCCGGGCATGATGCCAACGACGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTTTATTGATTGTCAAAACAGTACTTGATCATATCCTACAGAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTTAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTATCAGCAATTGCACTCGGAGTCGCCACAGCACACGGGAGTACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAACTCAGAGAGGCTGCCACTGAGGCTGAGAAGCAACTCCAACAATACGCAGAGTCTCGCGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAATTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCTATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGACGGAAGCCATCACTGCTGCGTCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTGGTTGATCCCGATGATGGAAGCTACGGCGAATACCAGAGTTACTCGGAAAACGGCATGAATGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGATGAGGACACTAAGCCAGTGCCTAATAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCAGGCCAACTCAAAATGTCCCAGGCCCTCACAGAACAATCCACCACGCAAGTGCTCCACTCACGGACAATGACAGAAGAAATGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACACCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTGGAGTCAGATGATGAAGAACAGGACAGGGGCGGAACCTCCAATCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCTGAAAAGAAAGAACTCCCGCAAGATGAGCGACAAGATCAGGACCACACTCAAGAGGCCAGGAACCAGGACAGTGACAACACCCAGCCAGAACACTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCTGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGCAAAGAGTACACGTATCCCGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCTATGAATGAAGAGAATAGATTTGTTACATTGGATGGTCAACAATTTTATTGGCCGGTAATGAATCACAAGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGGAACAATGGGATGATTCAACCGACAAATAGCTAACATTAAGTAGTCAAGGAACGAAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCATAATAAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTCCTTCAAAGTTCAATTTGAGTCTTAATGCAAATAGGCGTTAAGCCACAGTTATAGCCATAATTGTAACTCAATATCCTAACTAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTACCCAACATTTACACGATCATTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTTATCATCCTTACGTCAATTGAATTCTCTAGCACTCGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGTCTAACAAGATGACAACCAGAACAAAGAGCAGGGGCCACACTGCGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGAATTCCTGTAAGCGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAGACGAAGCCAAACCCGAAGACGCGCAACAGTCAAACCCAAACGGATCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAGACATTAGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGCGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCCGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAACTCATTGGACATCATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCTCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAAAGCTTGCGTCCAGTCCCACCATCGCCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCCCTTCCCTCCGAAGGAGGCGACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTACGTTACATTAATGATACACTTGTGAGTATTAGCCCTGGATAATATAAGTCAATTAAACGACCAAGATAAAATTGTCCTTATCTCGCTAGCAGCTTAAAATATAAATGTAATAGGAGCTATATCTCTGACAGTATTATAATCAATTGTTATTAAGTAACCCAAACCAAAAGTGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTCCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTAGAGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGGGACACTCCATCGAATCCACTCAGGCCAATTGCCGATGACACCATCGACCATGCCAGCCACATACCAGGCAGTGTTTCATCAGCATTCATCCTTGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACTAATCCACTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGACTCCTGCGAATTGGAAACCAGGCCTTCCTCCAGGAGTTCGTTCTTCCGCCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACCCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACAGGATCAAATGGAGCGTTGCGCCCAGGAATTTCATTTCATCCAAAACTGCGCCCCATTCTTTTACCCAACAAGAGTGGGAAGAAGGGGAATAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGAATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCTAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGTTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCGAGTCTTCCAGCTGTGATTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTATTTAGTAATCCGTCCATTAGAGGAGATACTTTAAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTTTTTTCTCTCCTAAATGTAGAACTTAACAAAAGACTCATAATATACTTGGTTTTAAAAGATTGATTGATAGAAGATCATAACTAATAACATTACAAATAATCCTACTATAATCAATACGGTGATTCAAATGTTAATCTTTCTCATTGCACATACTCTTTGCCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGATAGCCAGTGTGACTTGGATTGGAGATGTGGAGAAAAAATCGGGACCCATTTCTAGTTTGTTCACCATCCAAGTACAGACATTGCCCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCCTCCAGAGCAGGGATCGTCAGGTTCTTTTCAATCGTATAACCAAAATAAACTTCACTAGAAGGATATTGTGGGGCAACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCACTTGGAGTCATCCACAATAGCACATTACAGGTTAGTGATGTCGACAAACTGGTTTGCCGTGACAAACTGTCATCCACGAATCAATTGAGATCAGTTGGACTGAATCTCGAAGGGAATGGAGTGGCAACTGACGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAAGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCGTGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTGGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCTTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCTAGTGGCTACTATTCTACCACAATTAAATATCAGGCTACCGGCTTTGGAACCAATGAGACAGAGTATTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATACAAGTGGGAAAAGGAGCAATACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACAGAGCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGGGACCAACACAACAACTGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCAGTGTCGCATCTGACAACCCCTGCCACAATCTCCACGAGTCTTCAACCCCCCACAACCAAACCAGGTCCGGACAACAGCACCCACAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGAACAACATCACCGCAGAACAGACAACGCCAGCACAACCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCCTAAAAGCAGAGAACACCAACACGAGCAAGGGCACTGACCTCCTGGACCCCGCCACCACAACAAGTCCCCAAAACCACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTACCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTCGCAGGACTGATCACAGGCGGGAGAAGAACTCGAAGAGAAGCAATTGTCAATGCTCAACCCAAATGCAACCCTAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGACTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAGGGAATTTACACAGAGGGGCTGATGCACAATCAAGATGGTTTAATCTGTGGGTTGAGACAGCTGGCCAACGAGACGACTCAAGCTCTTCAACTATTCCTGAGAGCCACAACCGAGCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATTTCTTGCTGCAGCGATGGGGCGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACTAAGAACATAACGGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAGTGGATACCGGCAGGTATTGGAGTTACAGGCGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTTTTTCTTCAGATTGCTTCATGGCAAAGCTCAGCCTCAAATCAATGAAACCAGGATTTAATTATATGGATTACTTGAATCTAAGATTACTTGACAAATGATAATGTAATACACTGGAGCTTTAAACATAGCCAATGTGATTCTAACTCTTTTAAACTCACAGTTAATCATAAATAAGGTTTGACATCAATCTAGTTATCTCTTTGAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAATCTTCATCCTTGATTCTACAATCATAACAGTTATCTTTAGTGACAAGGGAAAGAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCGAACCGGTAGAGTTTAGTTGCAACCTAACACACATAAAGCATTGATCAAAAAGTCAATAGAAATTTAAACAGTGAGTGGAGGCAACTTTTAAATGGAAGCTTCATATGAGAGAGGACGCCCACGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAATCATCGAGGCGAGCACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGATCACCAGTTGGAGAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCAAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACTCTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCAGAACCATAGAGGATTCAAAATTAAGAGCATTGTTGACTCTATGTGCTGTGATGACGAGGAAGTTCTCAAAATCCCAGCTGAGTCTTTTATGTGAGACACACCTAAGGCGCGAGGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATTATCATATATTTAATCAAGACGATATCCTTTAAGACTTACTCAGTACTATAATCACTCTCGTTTCAAATTAATAAGATGTGCATGATTGCCCTAATATATGAAGAGGTATGATACAACCCTAACAGTGACCAAAGAAAATCATAATCTCGTATCGCTCGTAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTTACCCTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGACTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCCGCTTCAAGTTGTGGAGGAGGTGTTTGGTATTTGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAAGAGGTAGATTGTGGCCGGAAATGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAGTACTATTTCAGGGTAGTCCAATTAGTGACACGTCCCTTAGTTGTATATCAGTCGCCCCTGAGATACGCCACAAAAGTGTCTCTAAGCTAAATTGGTCTGTACACATCCCATACATTGTATTGGGGGCAATAATATCTAATTGAACTTAGCCGTTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGTTGAAAAAAGGCCTACCTACAACGAACATCACTTTGAGCGCCCTCACATTTAAAAAATAGGAACGTCGTTCCAACAATCGAGCGCAAGGTTTCAAAGTTGAACTGAGAGTGTCTAGACAACAAAGTATCGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCTAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAAAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGCCAAACTATTCAGGGGTGGAAGGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAATCTCTTTCCTCATTTATTTCAAAATCCGAATTCCACAATTGAGTCACCGCTGTGGGCATTGAGAGTCATCCTTGCAGCAGGGATACAAGACCAGCTGATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAACGGATTGTTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGATCCTCGACACGAATGCAAAGTTTGATTCTTGAATTTAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGAGCTAACTCATATATGCTGACTCAATAGTTATCTTGACATCTCTGCTTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATCATATGAATAAGCATTTTATCACCAGAAACCTTATATACTAAATGGTTAATTGTAACTGAATCCGCAGGTCACATGTGTTAGGTTTCACAGATTCTGTATATTACTAACTCTATACTCGTAATTAACATTAGATAAGTAGATTAAGAAAAAAGCCTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGAAATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCGGACGCTAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTAGTCACTAGAGCTTGCGGGTTATATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTGAAATACGATGTAACTGTTACCAAGTTCTTGAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTGTCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAGATCATCAAGTACACAATGCAAGATGCTCTCTTCTTGAAATACTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAGAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGATCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACATGGTTTGTTCATGATGATTTAATAGACATCTTAGGTTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCAATGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGACTGGTATCAGGCATCAGTATTCAAAGAAGCAGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACGACTCTAATCTCAAAAATAGCAGAGATTGAGGATCCAGTTTGTTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGATCTGATGGGTATAAAATTATTAAGTTCCTCGAACCATTGTGCTTGGCCAAAATTCAATTATGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTAGAAGAAATTACAGAAATGCGTGCACTAAAGCCTTCACAGGCTCAAAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAACAGCTTTGTGAGCTATTTTCCATTCAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATAGTGATTTTCGAGACATACTGTGTTTTTAAATATAGTATTGCCAAACATTATTTTGATAGCCAAGGGTCTTGGTACAGTGTTACTTCAGATAGGAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTACTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACCGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTTAGTACTAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTTGAGTATCTACTACCACAATATCGGAACTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACCTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTGGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAGCAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACGCGAGTGATGATTTTGGTGAACATGCCACAGTTAGAGGGAGTAGTTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGATATGAGTTTACAGCACCTTTTATCGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCACATAACCTCACACTGGAAAATCGAGACAACCCCCCCGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGGCGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGACGCAGACGAGCAGGAACAGAGTGCCGAAGACAATGCAGCGAGGGTGGCCGCTAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTAGCTAGTATAGGCACCGCTTTTGAGCGGTCCATTTCTGAGACACGACATATCTTTCCTTGCAGGATAACCGCAGCTTTCCATACATTTTTTTCGGTGAGAATCTTGCAATATCATCATCTCGGGTTCAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGTAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGATTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGCTTATTCCAGTTAAAAACTTATCTCCGAATGATTGGGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTCCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGCAGGACCATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCGTCAGCTGACTTCGAAGACGAAATGGTTTGTAAATGGCTATTATCATCAACTCCTGTTATGAGTCGTTTTGCGGCCGATATCTTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACCTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAGACACCGGTTTTGGACAGACTGAGGAAAATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAACAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCTCATATTTTAGAGGGAAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGTTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCAAAGCAACCAGGTGGGAAACCATTCGTGTCAGTGGCAGTCAAGAAACATATTGTTAGTGCATGGCCGAACGCGTCCCGACTAAGCTGGACTATCGGGGATGGAATCCCTTACATTGGATCAAGGACAGAAGATAAGATAGGACAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAGCCATTTTTGGAAGCACGAGTAAATTTGAGTGTTCAAGAAATACTTCAAATGACTCCTTCACATTACTCAGGAAATATTGTTCACAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAATTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAGTCTGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAATATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAAGTACCCGCTCAGTATTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAACGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTCGATAACCCATTTTTCCAAGGTAAACAGCTGAACATTATAGAAGATGATCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCCAAGACCATCATGCAATCAATTATTTCAGATAGCAACAATTCATCTACAGACCCAATTAGCAGCGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAACACAATTCTTCGGACCAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGTGTTATGTCACGGTTAATGAGTATTGATCCTCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCTATTTCATCTTTTCTTACATTTGTAAAAGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCGCTAGAGGGTCAAAACCCAACACCTGTTAATAATTTTCTCTATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACGACAGGCTTTTAAAACTACCATAAGTGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCATCATTGGCATACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAATACTTGGCAAGAGACTCTTCAACTGAATCAAGCACAAACAACAGTGATGGTCATATTGAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAATCTAGTTCTACAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAAAACACGCACCAGGGTCCGTCGTTCCAGTCCTTTCTAAGTGACTCTGCTTGTGGTACAGCAAATCCAAGACTAAATTTCGATCGATCGAGACACAATGTGAAATCTCAGGATCATAACTCGGCATCCAAGAGGGAAGGTCATCAAATAATCTCACACCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTGACGTCATCCAATGAGTCACAAACCCAAGACGAGATATCAAAGTACTTGCGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAGTTTTAAGTCGGCTGTGACGCTAGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATAACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAAGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAACTGATCTTACACCATATTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACTGAGGGTATGTTATGGCTAAATGATAATTTAGCCCCGTTTTTTGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGCTAGATCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGAAAGATGCCACACCAAAACCATCTCAGTTGTAAACAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGTGACTTACATTTAAGTTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTCGTCGATTCAAAAAGAGGTCCACTAGTCTCTATCACTCAGCACTTAGCACATCTTAGAGCAGAGATTCGAGAATTAACTAATGATTATAATCAACAGCGACAAAGTCGAACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATCAGTGTGTGCAATAGGTTCTACCATATTAGAGATTGCAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTGAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCGGATGGTCTCTACAGGTTTGATTGAATTACCGTGCATAGTATCCTGATACTTGCAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATATTGATCCGATTTCAATAAACAACTATTTAAACAACGAAAGGAGTCCCTATATTATACACTATATTTAGCCTCTCTCCCTGCTTGATAATCAAAAAATTCACAATGCAGCATGTGTGACATATTACTGCCGCAATGAATTTAACGCAACATAATAAACTCTGCACTCTTTAGAATTAAGCTTTAACGAAAGGTCTGGGCTCATATTGTTATTGATATAATAATGTTATATCAATATCCTGTCAGATGGAATAGTGTTTTGGTTGATAACACGACTTCTTAAAACAAAATTGATCTTTAAGATTAAGTTTTTTATAATTATCATTACTTTAATTTGTCGATTTAAAAATGGTGATAGACTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTCTTGTCTAGTAAGCTACTATTTCATACAGAATGATAAAATTAAAAGAAGAGGCAGGACTGTAAAATCATAAATACCTTCTTTACAATACAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGACATTGACCACGCTCATCAGAAGGCTCACCAAAATAAACGTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA >Zaire_ebolavirus_isolate_EBOV/H.sapiens-tc/GAB/1996/Ilembe_complete_genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCACACCTGGTTTGTTTCAGAGCCACATCACAAAGATAGAGAACAGCCTAGGTCTCCGAAGGGAACAAGGGCACCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGTCTTATCACATCACAAGTTCCACCTCAGACTCTGCAGGGTGATCCAACAACCCTAATAGAAAAATTATTGTTAACGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACCTTGATTTTGAACTTCAACACCTAGAGGATTGGAGATTCAACAACCCTAAAACTTGGGGTAAAACATTGGAAATAGTTGAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTTACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCAGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATCACAAACTTTTCTTGGAAAGTGGTGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAACGTGATGGGGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGAAAAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTTCTCTCTTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAAGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTCCTAATACACCAAGGGATGCACATGGTTGCCGGGCATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTTTATTGATTGTCAAAACAGTCCTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACTGCCAAGGTAAAAAATGAGGTGAACTCCTTTAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTATCGGCAATTGCACTCGGAGTCGCCACAGCACACGGGAGCACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGCTGCCACTGAAGCTGAGAAGCAACTCCAACAATATGCAGAATCTCGCGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCTATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACCTTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTGGTTGATCCCGATGATGGAAGCTACGGCGAATACCAGAGTTACTCGGAAAACGGCATGAATGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACTAAGCCAGTGCCTAACAGATTGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCAGGCCAACTCAAAATGTCCCAGGCCCTCGCAGAACAATCCACCACGCCAGTGCTCCACTCACGGACAACGACAGAGGAAATGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACACCAATTAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGTCTTCCGCCCTTGGAGTCAGACGATGAAGAACAGGACAGGGACGAAACTTCCAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCTGAAAAGAAAGAACTCCCGCAAGATGAGCAGCAAGATCAGGACCACACTCAAGAGGCCAGGAACCAGGACAGTGACAACACCCAGCCAGAACACTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGACCATTTGATGCTGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACTAGTGATGGCAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAATGAAGAGAATAGATTTGTTACATTGGATGGTCAACAATTTTATTGGCCGGTAATGAATCACAAGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGAATGGAATAATGGGATGATTTAACCGACAAATAGCTAACATTAAATAGTCAAGAAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAGGCGTTAAGCCACAGTTATAGCCATAATTGTAACTCAATATCTTAGCTAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTCGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGTCCAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCCGAGCAGCTAATGACCGGAAGAATTCCTGTAAGCGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGTTACGCATCCCAAATGCAACAAACAAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAACTATCGCATCAGAATCATTAGAACAACGTATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCACTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCAATTCGGGGTAAGATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCAGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAACTCATTGGATATCATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCTCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAAAGCTTGCGTCCAGTCCCGCCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTCCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCCCTTCCCTCCGAAAGAGGCGACCAATAGCAGAGGCTTCAACTGCTGAACTACAGGGTACGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCAATTAAACGACCAAGCCAAAATTGTTCATATCCCGCTAGCAGCTTAAAATATAAATGAAATAGGAGCTATATCTCTGACAGTATTATAATCAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTCCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTACGAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAACAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCTAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTTGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCACTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCCTTCCTCCAGGAGTTCGTTCTTCCGCCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACCCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACAGGATCAAATGGAGCGCTGCGTCCAGGAATTTCGTTTCATCCAAAACTTCGCCCCATTCTTTTACCTAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCAGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCTAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGATTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTATTTAGTAATCCGTCTATTAGAGGAGATACTTTTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTTTTTTCTCTCCTAAATGTAGAACTTAACAAAAGACTCACAATATACTTGTCTTAAAGAGATTGATTGATGAAAGATCATGACTAATAACATTACAAATAATCCTACTATAATCAATACGGTGATTCAAATATTAATCTTTCTAATTGCACATACTCTCTGCCCCTATCCTCAAATTGCCTACATGCCTACATCTGAGGATAGCCAGTGTGACTTGGATTGGAGATGTAGGGAAGAAATCGGAACCCATCTCCAGGTTGTTCACAATCCAAGCACAGACATCGCCCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGCAATCTTCATCTCTCTTAGATTATTTGTTTTCCAGAGTAGGGGTCATCAGGTCCTTTCCAATCATATAACCAAAATAAACTTCACTAGAAGGATATTGTGAGGCAACAACACAATGGGTATTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCACTTGGAGTCATCCACAATAGCACATTACAAGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAAGGGAATGGAGTGGCAACTGACGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCTCCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCGTGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCCAGTGGCTACTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACCAATGAGACGGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACGCCACAGTTTTTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAAAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGAGCCAAAGACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCTACACAACAACTGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAATCAAGGAAGGGAAGCTGCAGTGTCGCATCTGATAACCCTTGCCACAATCTCCACGAGTCCTCAATCCCCTACAACCAAACCAGGTCAGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGAACAACATCATCGCAGAACAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCCCAAAAGCAGAGAACATCAACACGAGCAAGAGCGCTGACTCCCTGGACCCCGCCACCACGACAAGTCCCCAAAACTACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCGGCAGCGGGAAGCTGGGCTTGATTGCCAATACTATTGCTGGAGTCGCAGGGCTGATCACAGGCGGGAGAAGAACTCGAAGAGAAGCAATTGTCAATGCTCAACCCAAATGCAACCCCAATCTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAGGGAATTTACACAGAGGGGCTAATGCACAATCAAGATGGTTTAATCTGTGGATTGAGGCAGCTGGCCAATGAGACGACTCAAGCTCTTCAACTGTTCCTGAGAGCCACAACTGAGCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATTTCTTGCTGCAGCGATGGGGCGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACTGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGCGTTATAATTGCAGTTATTGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTTTTTCTTCAGATTGCTTCATGGCAAAGCTCAGCCTCAAATCAATGAGATTAGGATTTAATTATATGGATCACTTGAATCTAAGATTACTTGACAAATGATAATATAATACACTGGAGCTTTAAATATAGCCAATGTGATTCTAACTCCTTTAAACTCACAATTAATCATAAACAAGGTTTGACATCAATCTAGTTATATCTTTGAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAGTGACAAGGGAAAGAAGCCTTTTTAGTAAGTTGTAATAATCAGATCTGCGAACCGGTAGAGTTTAATTGCAACCTAACACACATAAAGCATTGGTCAAAAAGTCAATAGAAATTTAAACAGTGAGTGGAGACAACTTTCAAATGGAAGCTCCATACGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCATCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAGGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGATCACCAGTTGGAAAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCAGGACCACAGAGGATTCAAAATTAAGAGCATTGTTGACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTATGTGAGACACACCTGAGGCGCGAGGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTCGAAGCTGCACTATGGCAACAATGGGATCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGATGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTCAATCAAGACGGTATCCTTTAAAACTTATTCAGTACTATAATCACTCTCGTTTCAAATTAATAAGATATGCATAATTGCTTTAATATATGAAGAGGTATGATACAACCCTAACAGTGATCAAAGAAAATCATAATCTCTTATCGCTCGTAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTTACTCTACAGGAGGTAGCAACGATCCATCCCATCAAAAAATAAGTATTTTATGACTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACACAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCTTTGGTATTGGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAAGAGGTAGATTGTGACCGGAAACGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAGTACTATTTCAGGGTAGTCCAATTAGTGACACGTCTTTTAGCTGTATATCAGTCGCCCCTGAGATACGCCACAAAAGTGTCTCTAAGCTAAATTGGTCTGTACACATCTCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCGTTTAAAATTTAGTGCATAAACCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACATCACTTTGAGCGCCCTTACAATTAAAAAATAGGAACGTCGTTCCAACAATTGAGCGCAAGGTTTCAAGGTTGAACTGAGAGTGCCTAAACACCAAAATATCGATAATTCAGACACCAAGCAAGACCTGAGAAGGAACCATGGCTAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCCTAGTTAGTCAAACTATTCAAGGGTGGAAGGTCTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAATCTATTTCCTCATTTATTTCAAAATCCGAATTCCACAATTGAGTCACCACTGTGGGCATTGAGAGTCATCCTTGCAGCAGGGGTACAGGACCAGCTGATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTTAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACCAATTGGATGCTCTACATGTCGTGAACTACAACGGGTTGTTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATTATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCGACACGAATGCAAAGTTTGATTCTTGAATTTAATAGCTCTCTTGCTATCTAATTAAGATGGAATACTTCATATTGAGCTAACTCATATATGCTGACTCAATAGTTATCTTGACATCTCTGCTTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTAACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATATGAATAAGCATGTTATCACCAGAAATCCAATATACTAAATAGTTAATTGTAACTGAACCCGCAGGTCACGTGTGTTAGGTTTCACAGATTATATATATTACTAACTCCATACCCGTAATTAACATTAGATAAGTAGATTAAGAAAAACGCTTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTAGTCACTAGAGCTTGCGGGTTATATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTAAAATATGATGTAACTGTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCAATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTGTCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGTCAACAGTTCTTAGATGAAATCATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAGGACTGTGTTGATGACCACTTTCAAGAGAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTCTTCTGGTATGACCTGGCTATTTTGACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACATGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCAATGTTACCCCTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGGCATCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAGATAGCAGAGGTTGAGGATCCAGTTTGTTCTGATTATCCCGATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATTATTAAGTTCCTCGAACCATTGTGCTTGGCCAAAATTCAATTATGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATGCGTGCACTAAAGCCTTCACAGGATCAAAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATTCAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCCACGGTGCTAAAAGCATTACGCCCTATAGTGATTTTCGAGACATATTGTGTTTTTAAATATAGTATTGCAAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACTTCAGATAGGAATTTAACGCCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCCCCGTTGCCAATGATTAAAGAACTACTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACCGCAGTGGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTCAGTACTAAACGTGTACCAGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATACCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTCACAGAGCGTGAGCAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTTGGTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGATATGAGTTTACAGCACCTTTTATAGAATATTGTAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCCCAGTGTTATATGCATGTCAGTGATTATTATAATCCACCGCATAACCTCACTCTGGAAAATCGAGACAACCCCCCCGAAGGGCCCAGTTCATACAGAGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATAAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGACGCAGACGAGCAGGAACAGAGCGCCGAAGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGCACTGCTTTTGAACGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGGATAACCGCAGCTTTCCATACGTTTTTTTCGGTGAGAATCTTGCAACATCATCACCTCGGGTTCAATAAGGGTTTTGACCTTGGACAGTTGACACTTGGCAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATTTAGGAGATCCAGTTACCTCAGGCTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTCCCCGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTGCGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACTTTATTTCATGCGTCAGCTGACTTCGAAGACGAAATGGTTTGTAAATGGCTATTATCATCAACTCCTGTTATGAGTCGTTTTGCGGCCGATATCTTTTCACGCACGCCCAGTGGGAAGCGATTGCAAATTCTAGGATACCTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAAACACCGGTTTTGGACAGACTGAGGAAAATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCAGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTTCCATGTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCAAAGCAACCTGGTGGGAAACCATTCGTGTCAGTGGCAGTCAAGAAACATATTGTTAGTGCATGGCCGAACGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGACAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAACTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGATTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCAGGAAATATTGTTCACAGGTACAACGATCAATATAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAATTCAGCGACGCGATTGATTGTTTCTACTAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAGTCTGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAATATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAAGTACCAGCTCAGTATTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAACGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTCGATAACCCATTTTTCCAAGGTAAACGGCTAAACATTATAGAAGATGATCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCCAAGACCATCATGCAATCAATTATTTCAGATAGCAACAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTATAAGTTATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGGTTAATGAGTATTGATCCTCATTTTTCTATTTACATAGGCGGTGCGGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTGCATTTATAAAAGAGTGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCGCTAGAGGGTCAAAACCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACAACAGGCTTTTAAAACTACCATAAGTGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGGAGAAGCAGGCACAGAAACAGCAATCGAAAATACTTGGCAAGAGACTCTTCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTGAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAATCTAGTCCTACAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAAAGCACGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCTGCTTGTGGTACAGCAAATCCAAAACTAAATTTCGATAGATCGAGACATAATGTGAAATCTCAGGATCATAACTCGGCATCCAAGAGGGAAGGTCATCAAATAATCTCACACCGTCTAGTCCTACCTTTCTTTACATTGTCTCAAGGGACGCGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGACGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAGTTTTAAGTCGGCTGTGACGCTAGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAACGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAATTCGGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTCAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAAAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAATTGATCTTACACCATATTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACTGAGGGTATGTTATGGCTAAATGATAATTTAGCCCCGTTTTTTGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGCTAGATCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAACAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGTTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTCGTCGATTCAAAAAGAGGTCCACTAGTCTCTATCACTCAGCACTTGGCACATCTTAGAGCAGAGATTCGAGAATTGACTAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTATCATATTAGAGATTGCAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATCTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTCCCGGATGGTCTCTACAGGTTTGATTGAATTACCGTGCATAGTATCCTGATACTTGTGAAGGTTGATTATCAACGTACAGATTATAAAAAACTCACAAATTGCTCTCATACATCATATTGATCGAATTTCAATAAATAACTATTTAAATAACGAAAGAAGTCCTTATATTATACACTATATTTAGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATGCAGCATGTGTGACATATTACTTCCGCGATGAATCTAACGCAACATAATAAACTCTGCACTCTTTATAATTAAGCTTTAACAAAAGGTCTGGGCTCATATTGTTATTGATATAATAATGTTGTATCAATATCCTGTCAGATGGAATAGTGTTTTGGTTGATAACACGACTTCTTAAAACAAAATTGATCTTCAAGATTAAGTTTTTTATAATTATCATTACTTTAATTTGTCGATTTAAAAATGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTGTCTAGTAAGCTACTATTTCATACAGAATGATAAAATTAAAAGAAAAGGCATGACTGTAAAATCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGACATTGACCACGCTCATCAGGAGGCTCGCCAGGATAAACGTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA >Zaire_ebolavirus_isolate_H.sapiens-wt/GIN/2014/Gueckedou-C05_complete_genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCATACCTGGTTTGTTTCAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCCAACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAAAACATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCAACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGCCGGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAAGGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGTACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATATGCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGGATACGACCATTCCCGATGTGGTAGTTGATCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGAAAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCAGTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCCACTCACGGACAATGACAGAAGAAACGGACCCTCCGGCTCAACCAGCCCTCGCATGCTGACCCCAATCAACGAAGAGGCAGACCCACTAGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAGAACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAACCAAGACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAAAGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAATGATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCTAACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGAGTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAACCAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCAGGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAACCATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTTGCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCAATTAAACAACCAAGATAAAATTGTTCATATCTCGCTAGCAGCTTAAAATATAAATGTAATAGGAGCTATACCTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCAACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCATCGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCACCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAATAATCCGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTCTTTTCTCTCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCATGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGCACATACTTTTTGCCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGATTGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCTTCACTAGAAGGATATTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAGTACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGCGACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTAATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCAGGGAAACTAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCCCAATCCCTCACAACCAAACCAGGTCCGGACAACAGCACCCATAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAGAACACCAACACGAGTAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCAACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTTTAATCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGAGCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAACTCAACCTCAAATCAATGAAACTAGGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAATGATAACATAATACACTGGAGCTTCAAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCTAGCTATATCTTTAAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCATTGGTAAAAAAGTCAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCTTCATATGAGAGAGGACGCCCCCGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACACTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAAATTAAGGGCATTGTTAACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAGGGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTTAATCAAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAATTGCCTTAATATATAAAGAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGCTCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACTCTACAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATGATCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCTATGGTATTCGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAGGAGGTATATTGTGACCGGAAAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTTTAGCTGTATACCAGTGCCCCGAGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACACATCTCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACATTACTTTGAGCGCCCTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGTCTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAACCTATTTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTGTGGGCACTGAGAGTCATCCTTGCAGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGTCGTGAACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCGACACGAATGCAAAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGGGCTAACTCATATATGCTGACTCAATAGTTAACTTGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAATAAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTGTAACTAAACCCGCAGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCATACTCGTAACTAACATTAGATAAGTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTTACCAAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATTATTAAGTACACAATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGATGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCCAGTTTGCTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCACTAAAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAACAACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATCGTGATTTTCGAGACATATTGTGTTTTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGGAATCTAACGCCGGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTGCTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTGGGATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATATCGGAATTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGTGAGCATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGGTATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCGCATAACCTCACACTGGAAAATCGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGACGAGCAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCTCGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTGTAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACAATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTGCAAAGGTGGAGTCTATGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAAGCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAATGCATCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGGCAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAGTATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAGTATTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTCGATAATCCATTTTTCCAAGGTAAACAGCTGAACATTATAGAAGATGACCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAATAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGATTAATGAGTATTGATCCCCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCCATTTCATCTTTTCTTACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGGATCAAGCACAAACAACAGTGATGGTCATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGCAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTCATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAATGTGAAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACATCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGATGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTACATAAATTGATCTTACACCATGTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGCTAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTCAGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACTAGTCTCTGTCACTCAGCACTTAGCACATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTACAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCAGATGGTCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACTTGTAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGATAACGAAAGGAGTCCTTACATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATACAGCATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATAATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATATCTTGCCAGATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTTTAAGATTAAGTTTTTTATAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTCCATTCAGAATGATAAAATTAAAAGAAAAGACATGACTGTAAAATCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAATGATAATTAAGGCATTGACCACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA >Zaire_ebolavirus_strain_Zaire_1995_complete_genome CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAATTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCACACCTGGTTTGTTTCAGAGCCACATCACAAAGATAGAGAACAACCTAGGTCTCTGAAGGGAGCAAGGGCATCAGTGTGCTCAGTTGAAAATCCCTTGTCAACATCTAGGTCTTATCACATCACAAGTCCCACCTCAGACTCTGCAGGGTGATCCAACAACCTTAATAGAAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAATTAACCTTGGTTTTGAACTTGAATACTTAGAGGATTGGAGATTCAACAACCCTAAAGCTTGGGGTAAAACATTGGAAATAGTTAAAAGACAAATTGCTCGGAATCACAACATTCCGAGTATGGATTCTCGTCCTCAGAAAGTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCGTTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAGATTTGCCAACTTATCATACAGGCCTTTGAAGCAGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTTTGTCTTCATCATGCGTACCAGGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAGGGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGTATCTAGTGGAAAAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACAACTGAAGCTAATGCCGGTCAGTTTCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGTCTTGAGAAGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGTAGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTCCTAATACACCAAGGGATGCACATGGTTGCCGGGCATGATGCCAACGACGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTTTTTCAGGTTTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGCGGAGTTCGTCTCCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTTAAGGCTGCACTCAGCTCCCTGGCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATGGTCTTTTCCCTCAACTATCAGCAATTGCACTCGGAGTCGCCACAGCACACGGGAGTACCCTCGCAGGAGTAAATGTTGGAGAACAGTATCAACAACTCAGAGAGGCTGCCACTGAGGCTGAGAAGCAACTCCAACAATACGCAGAGTCTCGCGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATCAGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCTATGGTAACTCTAAGAAAAGAGCGCCTGGCCAAGCTGACGGAAGCTATCACTGCTGCGTCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATTCCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCAACTGACTCACAAGATACGACCATTCCTGATGTGGTGGTTGATCCCGATGATGGAAGCTACGGCGAATACCAGAGTTACTCGGAAAACGGCATGAATGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGATGAGGACACTAAGCCAGTGCCTAATAGATCAACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGACAGACACAATCCAGGCCAACTCAAAATGTCCCAGGCCCTCACAGAACAATCCACCACGCCAGTGCTCCACTCACGGATAATGACAGAAGAAATGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACACCAATCAACGAAGAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCCTGGAGTCAGACGATGAAGAACAGGACAGGGACGGAACTTCCAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCACTCTGAAAAGAGAGAACTCCCGCAAGATGAGCAACAAGATCAGGACCACACTCAAGAGGCCAGGAACCAGGACAGTGACAACACCCAGCCAGAACACTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGCCATTTGATGCTGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGCAAAGAGTACACGTATCCAGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCTATGAATGAAGAGAATAGATTTGTTACATTGGATGGTCAACAATTTTATTGGCCGGTAATGAATCACAAGAATAAATTCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGGAACAATGGGATGATTCAACCGACAAATAGCTAACATTAGGTAGTCAAGGAACGAAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAATAAAAGTGATTCTTATTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTCCAATTTGAGTCTTAATGCAAATAGGCGTTAAGCCACAGTTATAGCCATAATTGTAACTCAATATCCTAACTAGCGATTTATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTACCCAACATTTACACGATCATTTTATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGCACTCGAAGCTTATTGTCCTCAATGTAAAAGAAAAGCTGGTCTAACAAGATGACAACCAGAACAAAGGGCAGGGGCCACACTGCGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGAGCAGCTAATGACCGGAAGAATTCCTGTAAGCGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGCTACGCATCCCAAATGCAACAAACCAAGCCAAACCCGAAGACGCGCAACAGTCAAACCCAAACGGACCCAATTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTAGCTTCATTGGCTACTGTTGTGCAACAACAAACCATTGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATGGCTAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGACAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCCGAACATGGTCAACCACCACCTGGACCATCACTTTATGAAGAAAGTGCAATTCGGGGTAAGATTGAATCTAGAGATGAGACCGTCCCTCAAAGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTGACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCAATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAACTCATTGGACATCATTCATGCTGAGTTCCAGGCCAGCCTGGCTGAAGGAGACTCTCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCCAAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAAAGCTTGCGTCCAGTCCCACCATCGCCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAAACACTTGGACTCAAAATTTGAGCCCATCTTCCTTCCCTCCGAAAGAGGCGACTAATAGCAGAGGCTTCAACTGCTGAACTATAGGGTACGTTACATTAATGATACACTTGTGAGTATCAGCCCTGGATAATATAAGTCAATTAAACGACCAAGATAAAATTGTTCTTATCTCGCTAGCAGCTTAAAATATGAATGTAATAGGAGCTATATCTCTGACAGTATTATAATCAATCGTTATTAAGTAACCCAAACCAAAAGTGATGAAGATTAAGAAAAACCTACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATATGAGGCGGGTTATATTACCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGTCAGGTCAAATTCAACAATTGCTAGAGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGGGACACTCCATCGAATCCACTCAGGCCAATTGCCGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATCAGCATTCATCCTTGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATTTGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACAACGGCCGCCATCATGCTTGCTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCACTTGTCAGAGTCAATCGGCTGGGTCCTGGAATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCCTTCCTCCAGGAGTTCGTTCTTCCGCCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACCCAACCACTGCCTGCTGCAACATGGACCGATGACACTCCAACAGGATCAAATGGAGCGTTGCGCCCAGGGATTTCATTTCATCCAAAACTTCGCCCCATTCTTTTACCCAACAAGAGTGGGAAGAAGGGGAATAGTGCCGATCTAACATCTCCGGAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATATCATGGGAATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCTAAAAATGGACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGTTTGGACCCGGTGGCTCCAGGAGACCTCACCATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCGAGTCTTCCAGCTGTGATTGAGAAGTAATTGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTATTTAGTAATCCGTCCATTAGAGGAGATACTTTTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTTTTTCCTCTCCTAAATGTAGAACTTAACAAAAGACTCATAATATACTTGTTTTTAAAAGATTGATTGATGAAAGATCATAACTAATAACATTACAAATAATCCTACTATAATCAATACGGTGATCCAAATGTTAATCTTTCTCATTGCAAATACTCTTTGCCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGATAGCCAGTGTGACTTGGATTGGAGATGTGGAGAAAAAATCGGGACCCATTTCTAGGTTGTTCACCATCCAAGTACAGACATTGCCCTTCTAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATTTGTCCTCCAGAGTAGGGATCGTCAGGTCCTTTTCAATCGTATAACCAAAATAAACTTCACTAGAAGGATATTGTGGGGCAACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACATCATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCACTTGGAGTCATCCACAATAGCACATTACAGGTTAGTGAGGTCGACAAACTGGTTTGCCGTGACAAACTGTCATCCACAAATCAATTGAGATCAGTTGGACTGAATCTCGAAGGGAATGGAGTGGCAACTGACGTGCCATCTGCAACTAAAAGATGGGGCTTCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCTTGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGGTGCCGGTATGTGCACAAAGTATCAGGAACGGGACCGTGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTGCTTTCTTCCTGTATGACCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGTTGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAATGCAACGGAGGACCCGTCTAGTGGCTACTATTCTACCACAATTAGATATCAAGCTACCGGTTTTGGAACCAATGAGACAGAGTATTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACAGTTTCTGCTCCAGCTGAATGAGACAATATATACAAGTGGGAAAAGGAGCAATACCACGGGAAAACTAATTTGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAAACCTCACTAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACAGAGCCAAAAACATCAGTGGTCAGAGTCCGGCGCGAACTTCTTCCGACCCAGGGACCAACACAACAACTGAAGACCACAAAATCATGGCTTCAGAAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGGAAGCTGCAGTGTCGCATCTGACAACCCTTGCCACAATCTCCACGAGTCCTCAACCCCCCACAACCAAACCAGGTCCGGACAACAGCACCCACAATACACCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGAACAACATCACCGCAGAACAGACAACGACAGCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCCCAAAAGCAGAGAACACCAACACGAGCAAGGGTACCGACCTCCTGGACCCCGCCACCACAACAAGTCCCCAAAACCACAGCGAGACCGCTGGCAACAACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATACTATTGCTGGAGTCGCAGGACTGATCACAGGCGGGAGGAGAGCTCGAAGAGAAGCAATTGTCAATGCTCAACCCAAATGCAACCCTAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGACTGGCCTGGATACCATATTTCGGGCCAGCAGCCGAGGGAATTTACACAGAGGGGCTGATGCACAATCAAGATGGTTTAATCTGTGGGTTGAGACAGCTGGCCAACGAGACGACTCAAGCTCTTCAACTGTTCCTGAGAGCCACAACCGAGCTACGCACCTTTTCAATCCTCAACCGTAAGGCAATTGATTTCTTGCTGCAGCGATGGGGCGGCACATGCCACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATCAGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATGGAGACAATGGATACCGGCAGGTATTGGAGTTACAGGCGTTATAATTGCAGTTATCGCTTTATTCTGTATATGCAAATTTGTCTTTTAGTTTTTCTTCAGATTGCTTCATGGCAAAGCTCAGCCTCAAATCAATGAAACCAGGATTTAATTATATGGATTACTTGAATCTAAGATTACTTGACAAATGATAATATAATACACTGGAGCTTTAAACATAGCCAATGTGATTCTAACTCTTTTAAACTCACAGTTAATCATAAATAAGGTTTGACATCAATCTAGTTATCTCTTTGAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAATCTTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAGTGACAAGGGAAAGAAGCCTTTTTATTAAGTTGTAATAATCAGATCTGCGAACCGGTAGAGTTTAGTTGCAACCTAACACACATAAAGCATTGATCAAAAAGTCAATAGAAATTTAAACAGTGAGTGGAGACAACTTTTAAATGGAAGCTTCATATGAGAGAGGACGCCCACGAGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAATTATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGAGAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTGTGACAGTAGTTTTTGCAAAAAAGATCACCAGTTGGAGAGTTTAACTGATAGGGAATTACTCCTACTAATCGCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAAATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACTCTGATCAAGACGGCAGAACACTGGGCGAGACAAGACATCAGAACCATAGAGGATTCAAAATTAAGAGCATTGTTGACTCTATGTGCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTATGTGAGACACACCTAAGGCGTGAGGGGCTTGGGCAAGATCAGGCAGAACCTGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAGTTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAATATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAATCAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGGCTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATTATCATATATTTAATCAAGACGATATCCTTTAAGACTTATTCAGTACTATAATCACTCTCGTTTCAAATTAATAAGATGTGCATGATTGCCCTAATATATGAAGAGGTATGATACAACCCTAACAGTGACCAAAGAAAATCATAATCTCGTATCGCTCGTAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTTACCCTACAGGAGGTAGCAACGATCCATCCCATCAAAAAATAAGTATTTTATGACTTACTAATGACCTCTTAAAATATTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTGTTTGGTATTGGCTATTGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAAGAGGTAGATTGTGGCTGGAAATGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATAAGAATAAACCTTATTATTCAGATTAGGCCCCAAGAGGCATTCTTCATCTCCTTTTAGCAAAGTACTATTTCAGGGTAGTCCAATTAGTGACACGTCTCTTAGCTGTATATCAGTCGCCCCTGAGATACGCCACAAAAGTGTCTCTAAGCTAAATTGGTCTGTACACATCTCATACATTGTATTAGGGACAATAATATCTAATTGAACTTAGCCGTTTAAAATTTAGTGCATAAATCTGGGCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCTACCTACAACGAACATCACTTTGAGCGCCCTCACATTTAAAAAATAGGAACGTCGTTCCAACAATCGAGCGCAAGGTTTCAAGGTTGAACTGAGAGTGTCTAGACAACAAAGTATCGATCCTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCTAAAGCTACGGGACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTTCTTAGTTAGCCAAACTATTCAGGGGTGGAAGGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAAGGAATGGCCCTATTGCAAAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAATCTCTTTCCTCATTTATTTCAAAATCCGAATTCCACAATTGAATCACCGCTGTGGGCATTGAGAGTCATCCTTGCAGCAGGGATACAAGACCAGCTGATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATCTCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGAGCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAGATTGGATGCTCTACATGTCGTGAACTACAACGGATTGTTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGAACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGCCGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGATCCTCAACACGAATGCAAAGTTTGATTCTTGAATTTAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGAGCTAACTCATATATGCTGACTCAATAGTTATCTTGACATCTCTGCTTTCATAATCAGATATATAAGCATAATAAATAAATACGCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTGACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCTTTATCATATGAATAAGCATTTTATCACCAGAAATCTTATATACTAAATGGTTAATTGTAACTGAACCCGCAGGTCACATGTGTTAGGTTTCACAGATTTTATATATTACTAACTCTATACTCGTAATTAACATTAGATAAGTAGATTAAGAAAAAAGCCTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGAAGCAGTTGAAATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCGGACGCTAGGTTATCATCACCAATTGTATTGGACCAATGTGACCTAGTCACTAGAGCTTGCGGGTTATATTCATCATACTCCCTTAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATCTACCGTTTGAAATACGATGTAACTGTTACCAAGTTCTTGAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCACTGTCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATCATTAAGTACACAATGCAAGATGCTCTCTTCTTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGACCACTTTCAAGAGAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATGATCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACATGGTTTGTTCATGATGATTTAATAGACATCTTAGGTTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCAATGTTACCACTGAACACACAAGGAATCCCCCATGCTGCTATGGACTGGTATCAGGCATCAGTATTCAAAGAAGCGGTTCAAGGGCATACACACATTGTTTCTGTTTCTACTGCCGACGTCTTGATAATGTGCAAAGATTTAATTACATGTCGATTCAACACAACTCTAATCTCAAAAATAGCAGAGATTGAGGATCCAGTTTGTTCTGATTATCCCAATTTTAAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAATTATTAAGTTCCTCGAACCATTGTGCTTGGCCAAAATTCAATTATGCTCAAAGTACACCGAGAGGAAGGGCCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTAGAAGAAATTACAGAAATGCGTGCACTAAAGCCTTCACAGGCTCAAAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAACAGCTTTGTGAGCTATTTTCCATTCAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCAAAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATAGTGATTTTCGAGACATACTGTGTTTTTAAATATAGTATTGCCAAACATTATTTTGATAGTCAAGGGTCTTGGTACAGTGTTACTTCAGATAGGAATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACTACTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATTTTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTAGGATATAATCCACCTCACAAATTTAGTACTAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTCTATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATATCGGAACTTTTCTTTCTCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACCTTCGGAAAATTGCCTTATCCGACTCGCAATGTTCAAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTACGGAACGTGAGCAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTTGGTGAACATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGATATGAGTTTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTATACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCACATAACCTCACACTGGAAAATCGAGACAACCCCCCCGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAAAACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTACGCTCAGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGACGCAGACGAGCAGGAACAGAGCGCCGAAGACAATGCAGCGAGGGTGGCCGCTAGCCTAGCAAAAGTTACAAGTGCCTGTGGAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTTGAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTTGATGATCTTCAAGGGACCCTAGCTAGTATAGGCACTGCTTTTGAGCGATCCATCTCTGAGACACGACATATCTTTCCTTGCAGGATAACCGCAGCTTTCCATACGTTTTTTTCGGTGAGAATCTTGCAATATCATCATCTCGGGTTCAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGTAAACCTCTGGATTTCGGAACAATATCATTGGCACTAGCGGTACCGCAGGTGCTTGGAGGATTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGAATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGATTTATTCTTACCTTTAATTGCAAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGCGGATTAAATGTCCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGCAGGACCATCACCCTAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCGTCAGCTGACTTCGAAGACGAAATGGTTTGTAAATGGCTATTATCATCAACTCCTGTTATGAGTCGTTTTGCGGCCGATATCTTTTCACGCACGCCGAGCGGGAAGCGATTGCAAATTCTAGGATACCTGGAAGGAACACGCACATTATTAGCCTCTAGGATCATCAACAATAATACAGAGACACCGGTTTTGGACAGACTGAGGAAAATAACATTGCAAAGGTGGAGTCTGTGGTTTAGTTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCACAGATCCTGAGGGAATATTCATGGGCTCATATTTTAGAGGGAAGACCTCTTATTGGAGCCACACTCCCATGTATGATTGAGCAATTCAAAGTGTTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCAAAGCAACCAGGTGGGAAACCATTCGTGTCAGTGGCAGTCAAGAAACATATTGTTAGTGCATGGCCTAACGCATCCCGACTAAGCTGGACTATCGGGGATGGAATCCCTTACATTGGATCAAGGACAGAAGATAAGATAGGACAACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAACATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAGCCATTTTTGGAAGCACGAGTAAATTTAAGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCAGGAAATATTGTTCACAGGTACAACGATCAATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAATTCAGCAACGCGATTGATTGTTTCTACAAACACTTTAGGTGAGTTTTCAGGAGGTGGCCAGTCTGCACGCGACAGCAATATTATTTTCCAGAATGTTATAAATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAATATAATCGTGCTCACCTTCATCTAACTAAGTGTTGCACCCGGGAAGTACCAGCTCAGTATTTAACATACACATCTACATTGGATTTAGATTTAACAAGATACCGAGAAAACGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTCAATTGCAATATCTCATTCGATAACCCATTTTTCCAAGGTAAACAGCTGAACATTATAGAAGATGATCTTATTCGACTGCCTCACTTATCTGGATGGGAGCTAGCCAAGACCATCATGCAATCAATTATTTCAGATAGCAACAATTCATCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCCAAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTAAGAAATTGACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATTGCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGGTTAATGAGTATTGATCCTCATTTTTCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGTCTATTTCATCTTTTCTTACATTTGTAAAAGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGATAGTATATCCGCTAGAGGGTCAAAACCCAACACCTGTTAATAATTTTCTCTATCAGATCGTAGAACTGCTGGTGCATGATTCATCAAGACAACAGGCTTTAAAAACTACCATAAGTGATCATGTACATCCTCACGACAATCTTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCATCATTGGCGTACTGGAGGAGCAGGCACAGAAACAGCAACCGAAAATACTTGGCAAGAGACTCTTCAACTAGATCAAGCACAAACAACAGTGATGGTCATATTGAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAATCTAGTTCTACAAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAAAACACGCACCAGGGTCCGTCGTTCCAGTCCTTTCTAAGTTACTCTGCTTGTGGTACAGCAAATCCAAAACTAAATTTCGATCGATCGAGACACAATGTGAAATCTCAGGATCATAACTCGGCATCCAAGAGGGAAGGTCATCAAATAATCTCACACCGTCTAGTCCTACCTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCTAATGAGTCACAGACCCAAGACGAGATATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTCTCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAGTTTTAAGTCGGCTGTGACGCTAGCAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACACGCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCTGTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACATAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAAGCAAGTCGAGGTTATAACCATGGATGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTATATAAACTGATCTTACACCATATTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTCCTAAGTGATACTGAGGGTATGTTATGGCTAAATGATAATTTAGCCCCGTTTTTTGCCACTGGTTATTTAATTAAGCCAATAACGTCAAGTGCTAGATCTAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGAAAGATGCCACACCAAAACCATCTCAGTTGTAAACAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATTTAACTCAGTATGCTGACTGTGATTTACATTTAAGTTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGTACTATACCACAGGTATAACCTCGTCGATTCAAAAAGAGGTCCACTAGTCTCTATCACTCAGCACTTAGCACATCTTAGAGCAGAGATTCGAGAATTAACTAATGATTATAATCAACAGCGACAAAGTCGAACTCAAACATATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTATTGTGCAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTGTGCAATAGGTTCTACCATATTAGAGATTGCAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTACATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCGGATGGTCTCTACAGGTTTGATTGAATTACCGTGCATAGTATCCTGATACTTGCAAAGGTTGGTTATCAACATACAGATTATAAAAAACTCATAAATTGCTCTCATACATCATATTGATCTGATTTCAATAAACAACTATTTAAATAACGAAAGGAGTCCCTATATTATACACTATATTTAGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACAATGCAGCATGTGTGACATATTAATGCCGCAATGAATTTAACGCAACATAATAAACTCTGCACTCTTTATAATTAAGCTTTAACGAAAGGTCTGGGCTCATATTGTTATTGATATAATAATGTTATATCAATGTCCTGTCAGATGGAATAGTGTTTTGGTTGATAACACGACTTCTTAAAACAAAATTGATCTTTAAGATTAAGTTTTTTATAATTATCATTACTTTAATTTATCGATTTGAAAATGGTAATAGCCTTAATCTTTGTGTAAAATAAGAGATTAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGTTACTATTTCATACAGAATGATAAAATTAAAAGAAAAGGCAGGACTGTAAAATCATAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTTGTGTTAATGATAATTAAGACATTGACCACGCTCATCAGAAGGCTCGCCAAAATAAACGTTGCAAAAAGGATTCCTGGAAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCAA ================================================ FILE: tests/input/ebov-makona.fasta ================================================ >KJ660346.2 CGGACACACAAAAAGAAAGAAGAATTTTTAGGATCTTTTGTGTGCGAATAACTATGAGGAAGATTAATAA TTTTCCTCTCATTGAAATTTATATCGGAATTTAAATTGAAATTGTTACTGTAATCATACCTGGTTTGTTT CAGAGCCATATCACCAAGATAGAGAACAACCTAGGTCTCCGGAGGGGGCAAGGGCATCAGTGTGCTCAGT TGAAAATCCCTTGTCAACATCTAGGCCTTATCACATCACAAGTTCCGCCTTAAACTCTGCAGGGTGATCC AACAACCTTAATAGCAACATTATTGTTAAAGGACAGCATTAGTTCACAGTCAAACAAGCAAGATTGAGAA TTAACTTTGATTTTGAACCTGAACACCCAGAGGACTGGAGACTCAACAACCCTAAAGCCTGGGGTAAAAC ATTAGAAATAGTTTAAAGACAAATTGCTCGGAATCACAAAATTCCGAGTATGGATTCTCGTCCTCAGAAA GTCTGGATGACGCCGAGTCTCACTGAATCTGACATGGATTACCACAAGATCTTGACAGCAGGTCTGTCCG TTCAACAGGGGATTGTTCGGCAAAGAGTCATCCCAGTGTATCAAGTAAACAATCTTGAGGAAATTTGCCA ACTTATCATACAGGCCTTTGAAGCTGGTGTTGATTTTCAAGAGAGTGCGGACAGTTTCCTTCTCATGCTT TGTCTTCATCATGCGTACCAAGGAGATTACAAACTTTTCTTGGAAAGTGGCGCAGTCAAGTATTTGGAAG GGCACGGGTTCCGTTTTGAAGTCAAGAAGCGTGATGGAGTGAAGCGCCTTGAGGAATTGCTGCCAGCAGT ATCTAGTGGGAGAAACATTAAGAGAACACTTGCTGCCATGCCGGAAGAGGAGACGACTGAAGCTAATGCC GGTCAGTTCCTCTCCTTTGCAAGTCTATTCCTTCCGAAATTGGTAGTAGGAGAAAAGGCTTGCCTTGAGA AGGTTCAAAGGCAAATTCAAGTACATGCAGAGCAAGGACTGATACAATATCCAACAGCTTGGCAATCAGT AGGACACATGATGGTGATTTTCCGTTTGATGCGAACAAATTTTTTGATCAAATTTCTTCTAATACACCAA GGGATGCACATGGTTGCCGGACATGATGCCAACGATGCTGTGATTTCAAATTCAGTGGCTCAAGCTCGTT TTTCAGGTCTATTGATTGTCAAAACAGTACTTGATCATATCCTACAAAAGACAGAACGAGGAGTTCGTCT CCATCCTCTTGCAAGGACCGCCAAGGTAAAAAATGAGGTGAACTCCTTCAAGGCTGCACTCAGCTCCCTG GCCAAGCATGGAGAGTATGCTCCTTTCGCCCGACTTTTGAACCTTTCTGGAGTAAATAATCTTGAGCATG GTCTTTTCCCTCAACTGTCGGCAATTGCACTCGGAGTCGCCACAGCCCACGGGAGCACCCTCGCAGGAGT AAATGTTGGAGAACAGTATCAACAGCTCAGAGAGGCAGCCACTGAGGCTGAGAAGCAACTCCAACAATAT GCGGAGTCTCGTGAACTTGACCATCTTGGACTTGATGATCAGGAAAAGAAAATTCTTATGAACTTCCATC AGAAAAAGAACGAAATCAGCTTCCAGCAAACAAACGCGATGGTAACTCTAAGAAAAGAGCGCCTGGCCAA GCTGACAGAAGCTATCACTGCTGCATCACTGCCCAAAACAAGTGGACATTACGATGATGATGACGACATT CCCTTTCCAGGACCCATCAATGATGACGACAATCCTGGCCATCAAGATGATGATCCGACTGACTCACAGG ATACGACCATTCCCGATGTGGTAGTTGATCCCGATGATGGAGGCTACGGCGAATACCAAAGTTACTCGGA AAACGGCATGAGTGCACCAGATGACTTGGTCCTATTCGATCTAGACGAGGACGACGAGGACACCAAGCCA GTGCCTAACAGATCGACCAAGGGTGGACAACAGAAAAACAGTCAAAAGGGCCAGCATACAGAGGGCAGAC AGACACAATCCACGCCAACTCAAAACGTCACAGGCCCTCGCAGAACAATCCACCATGCCAGTGCTCCACT CACGGACAATGACAGAAGAAACGAACCCTCCGGCTCAACCAGCCCTCGCATGCTGACCCCAATCAACGAA GAGGCAGACCCACTGGACGATGCCGACGACGAGACGTCTAGCCTTCCGCCCTTAGAGTCAGATGATGAAG AACAGGACAGGGACGGAACTTCTAACCGCACACCCACTGTCGCCCCACCGGCTCCCGTATACAGAGATCA CTCCGAAAAGAAAGAACTCCCGCAAGATGAACAACAAGATCAGGACCACATTCAAGAGGCCAGGAACCAA GACAGTGACAACACCCAGCCAGAACATTCTTTTGAGGAGATGTATCGCCACATTCTAAGATCACAGGGGC CATTTGATGCCGTTTTGTATTATCATATGATGAAGGATGAGCCTGTAGTTTTCAGTACCAGTGATGGTAA AGAGTACACGTATCCGGACTCCCTTGAAGAGGAATATCCACCATGGCTCACTGAAAAAGAGGCCATGAAT GATGAGAATAGATTTGTTACACTGGATGGTCAACAATTTTATTGGCCAGTAATGAATCACAGGAATAAAT TCATGGCAATCCTGCAACATCATCAGTGAATGAGCATGTAATAATGGGATGATTTAATCGACAAATAGCT AACATTAAATAGTCAAGGAACGCAAACAGGAAGAATTTTTGATGTCTAAGGTGTGAATTATTATCACAAT AAAAGTGATTCTTAGTTTTGAATTTAAAGCTAGCTTATTATTACTAGCCGTTTTTCAAAGTTCAATTTGA GTCTTAATGCAAATAAGCGTTAAGCCACAGTTATAGCCATAATGGTAACTCAATATCTTAGCCAGCGATT TATCTAAATTAAATTACATTATGCTTTTATAACTTACCTACTAGCCTGCCCAACATTTACACGATCGTTT TATAATTAAGAAAAAACTAATGATGAAGATTAAAACCTTCATCATCCTTACGTCAATTGAATTCTCTAGC ACTAGAAGCTTATTGTCTTCAATGTAAAAGAAAAGCTGGCCTAACAAGATGACAACTAGAACAAAGGGCA GGGGCCATACTGTGGCCACGACTCAAAACGACAGAATGCCAGGCCCTGAGCTTTCGGGCTGGATCTCTGA GCAGCTAATGACCGGAAGGATTCCTGTAAACGACATCTTCTGTGATATTGAGAACAATCCAGGATTATGC TACGCATCCCAAATGCAACAAACGAAGCCAAACCCGAAGATGCGCAACAGTCAAACCCAAACGGACCCAA TTTGCAATCATAGTTTTGAGGAGGTAGTACAAACATTGGCTTCATTGGCTACTGTTGTGCAACAACAAAC CATCGCATCAGAATCATTAGAACAACGCATTACGAGTCTTGAGAATGGTCTAAAGCCAGTTTATGATATG GCAAAAACAATCTCCTCATTGAACAGGGTTTGTGCTGAGATGGTTGCAAAATATGATCTTCTGGTGATGA CAACCGGTCGGGCAACAGCAACCGCTGCGGCAACTGAGGCTTATTGGGCTGAACATGGTCAACCACCACC TGGACCATCACTTTATGAAGAAAGTGCGATTCGGGGTAAGATTGAATCTAGAGATGAGACTGTCCCTCAA AGTGTTAGGGAGGCATTCAACAATCTAGACAGTACCACTTCACTAACTGAGGAAAATTTTGGGAAACCTG ACATTTCGGCAAAGGATTTGAGAAACATTATGTATGATCACTTGCCTGGTTTTGGAACTGCTTTCCACCA ATTAGTACAAGTGATTTGTAAATTGGGAAAAGATAGCAATTCATTGGACATTATTCATGCTGAGTTCCAG GCCAGCCTGGCTGAAGGAGACTCCCCTCAATGTGCCCTAATTCAAATTACAAAAAGAGTTCCAATCTTCC AAGATGCTGCTCCACCTGTCATCCACATCCGCTCTCGAGGTGACATTCCCCGAGCTTGCCAGAAGAGCTT GCGTCCAGTCCCACCATCACCCAAGATTGATCGAGGTTGGGTATGTGTTTTTCAGCTTCAAGATGGTAAA ACACTTGGACTCAAAATTTGAGCCAATCTCTTTTCCCTCCGAAAGAGGCAACTAATAGCAGAGGCTTCAA CTGCTGAACTATAGGGTATGTTACATTAATGATACACTTGTGAGTATCAGCCCTAGATAATATAAGTCAA TTAAACAACCAAGATAAAATTGTTCATATCCCGCTAGCAGCTTTAAAGATAAATGTAATAGGAGCTATAC CTCTGACAGTATTATAATTAATTGTTATTAAGTAACCCAAACCAAAAATGATGAAGATTAAGAAAAACCT ACCTCGACTGAGAGAGTGTTTTTTCATTAACCTTCATCTTGTAAACGTTGAGCAAAATTGTTAAAAATAT GAGGCGGGTTATATTGCCTACTGCTCCTCCTGAATATATGGAGGCCATATACCCTGCCAGGTCAAATTCA ACAATTGCTAGGGGTGGCAACAGCAATACAGGCTTCCTGACACCGGAGTCAGTCAATGGAGACACTCCAT CGAATCCACTCAGGCCAATTGCTGATGACACCATCGACCATGCCAGCCACACACCAGGCAGTGTGTCATC AGCATTCATCCTCGAAGCTATGGTGAATGTCATATCGGGCCCCAAAGTGCTAATGAAGCAAATTCCAATT TGGCTTCCTCTAGGTGTCGCTGATCAAAAGACCTACAGCTTTGACTCAACTACGGCCGCCATCATGCTTG CTTCATATACTATCACCCATTTCGGCAAGGCAACCAATCCGCTTGTCAGAGTCAATCGGCTGGGTCCTGG AATCCCGGATCACCCCCTCAGGCTCCTGCGAATTGGAAACCAGGCTTTCCTCCAGGAGTTCGTTCTTCCA CCAGTCCAACTACCCCAGTATTTCACCTTTGATTTGACAGCACTCAAACTGATCACTCAACCACTGCCTG CTGCAACATGGACCGATGACACTCCAACTGGATCAAATGGAGCGTTGCGTCCAGGAATTTCATTTCATCC AAAACTTCGCCCCATTCTTTTACCCAACAAAAGTGGGAAGAAGGGGAACAGTGCCGATCTAACATCTCCG GAGAAAATCCAAGCAATAATGACTTCACTCCAGGACTTTAAGATCGTTCCAATTGATCCAACCAAAAATA TCATGGGTATCGAAGTGCCAGAAACTCTGGTCCACAAGCTGACCGGTAAGAAGGTGACTTCCAAAAATGG ACAACCAATCATCCCTGTTCTTTTGCCAAAGTACATTGGGTTGGACCCGGTGGCTCCAGGAGACCTCACC ATGGTAATCACACAGGATTGTGACACGTGTCATTCTCCTGCAAGTCTTCCAGCTGTGGTTGAGAAGTAAT TGCAATAATTGACTCAGATCCAGTTTTACAGAATCTTCTCAGGGATAGTGATAACATCTTTTTAATAATC CGTCTACTAGAAGAGATACTTCTAATTGATCAATATACTAAAGGTGCTTTACACCATTGTCTCTTTTCTC TCCTAAATGTAGAGCTTAACAAAAGACTCATAATATACCTGTTTTTAAAAGATTGATTGATGAAAGATCA TGACTAATAACATTACAAACAATCCTACTATAATCAATACGGTGATTCAAATGTCAATCTTTCTCATTGC ACATACTCTTTGTCCTTATCCTCAAATTGCCTACATGCTTACATCTGAGGACAGCCAGTGTGACTTGGAT TGGAGATGTGGAGGAAAAATCGGGGCCCATTTCTAAGTTGTTCACAATCTAAGTACAGACATTGCTCTTC TAATTAAGAAAAAATCGGCGATGAAGATTAAGCCGACAGTGAGCGTAATCTTCATCTCTCTTAGATTATT TGTCTTCCAGAGTAGGGGTCATCAGGTCCTTTTCAATTGGATAACCAAAATAAGCTTCACTAGAAGGATA TTGTGAGGCGACAACACAATGGGTGTTACAGGAATATTGCAGTTACCTCGTGATCGATTCAAGAGGACAT CATTCTTTCTTTGGGTAATTATCCTTTTCCAAAGAACATTTTCCATCCCGCTTGGAGTTATCCACAATAG TACATTACAGGTTAGTGATGTCGACAAACTAGTTTGTCGTGACAAACTGTCATCCACAAATCAATTGAGA TCAGTTGGACTGAATCTCGAGGGGAATGGAGTGGCAACTGACGTGCCATCTGCGACTAAAAGATGGGGCT TCAGGTCCGGTGTCCCACCAAAGGTGGTCAATTATGAAGCTGGTGAATGGGCTGAAAACTGCTACAATCT TGAAATCAAAAAACCTGACGGGAGTGAGTGTCTACCAGCAGCGCCAGACGGGATTCGGGGCTTCCCCCGG TGCCGGTATGTGCACAAAGTATCAGGAACGGGACCATGTGCCGGAGACTTTGCCTTCCACAAAGAGGGTG CTTTCTTCCTGTATGATCGACTTGCTTCCACAGTTATCTACCGAGGAACGACTTTCGCTGAAGGTGTCGT TGCATTTCTGATACTGCCCCAAGCTAAGAAGGACTTCTTCAGCTCACACCCCTTGAGAGAGCCGGTCAAT GCAACGGAGGACCCGTCGAGTGGCTATTATTCTACCACAATTAGATATCAGGCTACCGGTTTTGGAACTA ATGAGACAGAGTACTTGTTCGAGGTTGACAATTTGACCTACGTCCAACTTGAATCAAGATTCACACCACA GTTTCTGCTCCAGCTGAATGAGACAATATATGCAAGTGGGAAGAGGAGCAACACCACGGGAAAACTAATT TGGAAGGTCAACCCCGAAATTGATACAACAATCGGGGAGTGGGCCTTCTGGGAAACTAAAAAAACCTCAC TAGAAAAATTCGCAGTGAAGAGTTGTCTTTCACAGCTGTATCAAACGGACCCAAAAACATCAGTGGTCAG AGTCCGGCGCGAACTTCTTCCGACCCAGAGACCAACACAACAAATGAAGACCACAAAATCATGGCTTCAG AAAATTCCTCTGCAATGGTTCAAGTGCACAGTCAAGGAAGGAAAGCTGCAGTGTCGCATCTGACAACCCT TGCCACAATCTCCACGAGTCCTCAACCTCCCACAACCAAAACAGGTCCGGACAACAGCACCCATAATACA CCCGTGTATAAACTTGACATCTCTGAGGCAACTCAAGTTGGACAACATCACCGTAGAGCAGACAACGACA GCACAGCCTCCGACACTCCCCCCGCCACGACCGCAGCCGGACCCTTAAAAGCAGAGAACACCAACACGAG TAAGAGCGCTGACTCCCTGGACCTCGCCACCACGACAAGCCCCCAAAACTACAGCGAGACTGCTGGCAAC AACAACACTCATCACCAAGATACCGGAGAAGAGAGTGCCAGCAGCGGGAAGCTAGGCTTAATTACCAATA CTATTGCTGGAGTAGCAGGACTGATCACAGGCGGGAGAAGGACTCGAAGAGAAGTAATTGTCAATGCTCA ACCCAAATGCAACCCCAATTTACATTACTGGACTACTCAGGATGAAGGTGCTGCAATCGGATTGGCCTGG ATACCATATTTCGGGCCAGCAGCCGAAGGAATTTACACAGAGGGGCTAATGCACAACCAAGATGGTTTAA TCTGTGGGTTGAGGCAGCTGGCCAACGAAACGACTCAAGCTCTCCAACTGTTCCTGAGAGCCACAACTGA GCTGCGAACCTTTTCAATCCTCAACCGTAAGGCAATTGACTTCCTGCTGCAGCGATGGGGTGGCACATGC CACATTTTGGGACCGGACTGCTGTATCGAACCACATGATTGGACCAAGAACATAACAGACAAAATTGATC AGATTATTCATGATTTTGTTGATAAAACCCTTCCGGACCAGGGGGACAATGACAATTGGTGGACAGGATG GAGACAATGGATACCGGCAGGTATTGGAGTTACAGGTGTTATAATTGCAGTTATCGCTTTATTCTGTATA TGCAAATTTGTCTTTTAGTCTTTCTTCAGATTGTTTCACGGCAAAACTCAACCTCAAATCAATGAAACTA GGATTTAATTATATGAATCACTTGAATCTAAGATTACTTGACAAATGATAACATAATACACTGGAGCTTC AAACATAGCCAATGTGATTCTAACTCCTTTAAACTCACAGTTAATCATAAACAAGGTTTGACATCAATCT AGCTATATCTTTAAGAATGATAAACTTGATGAAGATTAAGAAAAAGGTAATCTTTCGATTATCTTTAGTC TTCATCCTTGATTCTACAATCATGACAGTTGTCTTTAATGAAAAAGGAAAAAAGCCTTTTTATTAAGTTG TAATAATCAGATCTGCAAACCGGTAGAATTTAGTTGTAACCTAACACACACAAAGCATTGGTAAAAAAGT CAATAGAAATTTAAACAGTGAGTGCAGACAACTCTTAAATGGAAGCTTCATATGAGAGAGGACGCCCCCG AGCTGCCAGACAGCATTCAAGGGATGGACACGACCACCATGTTCGAGCACGATCATCATCCAGAGAGAAT TATCGAGGTGAGTACCGTCAATCAAGGAGCGCCTCACAAGTGCGCGTTCCTACTGTATTTCATAAGAAGA GAGTTGAACCATTAACAGTTCCTCCAGCACCTAAAGACATATGTCCGACCTTGAAAAAAGGATTTTTGTG TGACAGTAGTTTTTGCAAAAAAGACCACCAGTTAGAAAGTTTAACTGATAGGGAATTACTCCTACTAATC GCCCGTAAGACTTGTGGATCAGTAGAACAACAATTAAATATAACTGCACCCAAGGACTCGCGCTTAGCAA ATCCAACGGCTGATGATTTCCAGCAAGAGGAAGGTCCAAAAATTACCTTGTTGACACTGATCAAGACGGC AGAACACTGGGCGAGACAAGACATCCGAACCATAGAGGATTCCAAATTAAGGGCATTGTTAACTCTATGT GCTGTGATGACGAGGAAATTCTCAAAATCCCAGCTGAGTCTTTTGTGTGAGACACACCTAAGGCGCGAAG GGCTTGGGCAAGATCAGGCAGAACCCGTTCTCGAAGTATATCAACGATTACACAGTGATAAAGGAGGCAG TTTTGAAGCTGCACTATGGCAACAATGGGACCGACAATCCCTAATTATGTTTATCACTGCATTCTTGAAT ATCGCTCTCCAGTTACCGTGTGAAAGTTCTGCTGTCGTTGTTTCAGGGTTAAGAACATTGGTTCCTCAAT CAGATAATGAGGAAGCTTCAACCAACCCGGGGACATGCTCATGGTCTGATGAGGGTACCCCTTAATAAGG CTGACTAAAACACTATATAACCTTCTACTTGATCACAATACTCCGTATACCTATCATCATATATTTAATC AAGACGATATCCTTTAAAACTTATTCAGTACTATAATCACTCTCATTTCAAATTGATAAGATATGCATAA TTGCCTTAATATATAAAGAGGTATGATATAACCCAAACATTGACCAAAGAAAATCATAATCTCGTATCGC TCGCAATATAACCTGCCAAGCATACCTCTTGCACAAAGTGATTCTTGTACACAAATAATGTTTGACTCTA CAGGAGGTAGCAACGATCCATCTCATCAAAAAATAAGTATTTTATGATTTACTAATGATCTCTTAAAATA TTAAGAAAAACTGACGGAACATAAATTCTTTCTGCTTCAAGTTGTGGAGGAGGTCTATGGTATTCGCTAT TGTTATATTACAATCAATAACAAGCTTGTAAAAATATTGTTCTTGTTTCAGGAGGTATATTGTGACCGGA AAAGCTAAACTAATGATGAAGATTAATGCGGAGGTCTGATGAGAATAAACCTTATTATTCAGATTAGGCC CCAAGAGGCATTCTTCATCTCCTTTTAGCAAAATACTATTTCAGGATAGTCCAGCTAGTGACACGTCTTT TAGCTGTATACCAGTTGCCCCTGAGATACGCCACAAAAGTGTCTCTGAGCTAAAGTGGTCTGTACACATC TCATACATTGTATTAGGGGCAATAATATCTAATTGAACTTAGCCATTTAAAATTTAGTGCATAAATCTGG GCTAACTCCACCAGGTCAACTCCATTGGCTGAAAAGAAGCCCACCTACAACGAACATTACTTTGAGCGCC CTCACAATTAAAAAATAAGAGCGTCGTTCCAACAATCGAGCGCAAGGTTACAAGGTTGAACTGAGAGTGT CTAGACAACAAAATATCGATACTCCAGACACCAAGCAAGACCTGAGAAAAAACCATGGCCAAAGCTACGG GACGATACAATCTAATATCGCCCAAAAAGGACCTGGAGAAAGGGGTTGTCTTAAGCGACCTCTGTAACTT CTTAGTTAGTCAAACTATTCAAGGGTGGAAAGTTTATTGGGCTGGTATTGAGTTTGATGTGACTCACAAA GGAATGGCCCTATTGCATAGACTGAAAACTAATGACTTTGCCCCTGCATGGTCAATGACAAGGAACCTAT TTCCCCATTTATTTCAAAATCCGAATTCCACTATTGAATCACCGCTGTGGGCACTGAGAGTCATCCTTGC AGCAGGGATACAGGACCAGTTAATTGACCAGTCTTTGATTGAACCCTTAGCAGGAGCCCTTGGTCTGATC TCTGATTGGCTGCTAACAACCAACACTAACCATTTCAACATGCGAACACAACGTGTCAAGGAACAATTGA GCCTAAAAATGCTGTCGTTGATTCGATCCAATATTCTCAAGTTTATTAACAAATTGGATGCTCTACATGT CGTGAACTACAATGGATTATTGAGCAGTATTGAAATTGGAACTCAAAATCATACAATCATCATAACTCGA ACTAACATGGGTTTTCTGGTGGAGCTCCAAGAACCCGACAAATCGGCAATGAACCGCAAGAAGCCTGGGC CGGCGAAATTTTCCCTCCTTCATGAGTCCACACTGAAAGCATTTACACAAGGGTCCTCGACACGAATGCA AAGTTTAATTCTTGAATTCAATAGCTCTCTTGCTATCTAACTAAGATGGAATACTTCATATTGGGCTAAC TCATATATGCTGACTCAATAGTTAACTTGACATCTCTGCCTTCATAATCAGATATATAAGCATAATAAAT AAATACTCATATTTCTTGATAATTTGTTTAACCACAGATAAATCCTCACTGTAAGCCAGCTTCCAAGTTG ACACCCTTACAAAAACCAGGACTCAGAATCCCTCAAATAAGAGATTCCAAGACAACATCATAGAATTGCT TTATTATATTAATAAGCATTTTATCACTAGAAATCCAATATACGAAATGGTTAATTGTAACTAAACCCGC AGGTCATGTGTGTTAGGTTTCACAAATTATATATATTACTAACTCCATACTCGTAACTAACATTAGATAA GTAGGTTAAGAAAAAAGCTTGAGGAAGATTAAGAAAAACTGCTTATTGGGTCTTTCCGTGTTTTAGATGA AGCAGTTGACATTCTTCCTCTTGATATTAAATGGCTACACAACATACCCAATACCCAGACGCCAGGTTAT CATCACCAATTGTATTGGACCAATGTGACCTTGTCACTAGAGCTTGCGGGTTGTATTCATCATACTCCCT TAATCCGCAACTACGCAACTGTAAACTCCCGAAACATATATACCGTTTAAAATATGATGTAACTGTTACC AAGTTCTTAAGTGATGTACCAGTGGCGACATTGCCCATAGATTTCATAGTCCCAATTCTTCTCAAGGCAC TATCAGGCAATGGGTTCTGTCCTGTTGAGCCGCGGTGCCAACAGTTCTTAGATGAAATTATTAAGTACAC AATGCAAGATGCTCTCTTCCTGAAATATTATCTCAAAAATGTGGGTGCTCAAGAAGACTGTGTTGATGAC CACTTTCAAGAAAAAATCTTATCTTCAATTCAGGGCAATGAATTTTTACATCAAATGTTTTTCTGGTATG ACCTGGCTATTTTAACTCGAAGGGGTAGATTAAATCGAGGAAACTCTAGATCAACGTGGTTTGTTCATGA TGATTTAATAGACATCTTAGGCTATGGGGACTATGTTTTTTGGAAGATCCCAATTTCACTGTTACCACTG AACACACAAGGAATCCCCCATGCTGCTATGGATTGGTATCAGACATCAGTATTCAAAGAAGCGGTTCAAG GGCATACACACATTGTTTCTGTTTCTACTGCCGATGTCTTGATAATGTGCAAAGATTTAATTACATGTCG ATTCAACACAACTCTAATCTCAAAAATAGCAGAGGTTGAGGACCCAGTTTGCTCTGATTATCCCAATTTT AAGATTGTGTCTATGCTTTACCAGAGCGGAGATTACTTACTCTCCATATTAGGGTCTGATGGGTATAAAA TCATTAAGTTTCTCGAACCATTGTGCTTGGCTAAAATTCAATTGTGCTCAAAGTACACCGAGAGGAAGGG CCGATTCTTAACACAAATGCATTTAGCTGTAAATCACACCCTGGAAGAAATTACAGAAATACGTGCACTA AAGCCTTCACAGGCTCACAAGATCCGTGAATTCCATAGAACATTGATAAGGCTGGAGATGACGCCACAAC AACTTTGTGAGCTATTTTCCATACAAAAACACTGGGGGCATCCTGTGCTACATAGTGAAACAGCAATCCA AAAAGTTAAAAAACATGCTACGGTGCTAAAAGCATTACGCCCTATCGTGATTTTCGAGACATATTGTGTT TTTAAATATAGCATTGCAAAACATTATTTTGATAGTCAAGGATCTTGGTACAGTGTTACCTCAGATAGAA ATCTAACACCAGGTCTTAATTCTTATATCAAAAGAAATCAATTCCCTCCGTTGCCAATGATTAAAGAACT GCTATGGGAATTTTACCACCTTGACCATCCTCCACTTTTCTCAACCAAAATTATTAGTGACTTAAGTATT TTTATAAAAGACAGAGCTACTGCAGTAGAAAGGACATGCTGGGATGCAGTATTCGAGCCTAATGTTCTGG GATATAATCCACCTCACAAATTCAGTACCAAACGTGTACCGGAACAATTTTTAGAGCAAGAAAACTTTTC TATTGAGAATGTTCTTTCCTACGCGCAAAAACTCGAGTATCTACTACCACAATATCGGAATTTTTCTTTC TCATTGAAAGAGAAAGAGTTGAATGTAGGTAGAACTTTCGGAAAATTGCCTTATCCGACTCGCAATGTTC AAACACTTTGTGAAGCTCTGTTAGCTGATGGTCTTGCTAAAGCATTTCCTAGCAATATGATGGTAGTTAC GGAACGTGAACAAAAAGAAAGCTTATTGCATCAAGCATCATGGCACCACACAAGTGATGATTTCGGTGAG CATGCCACAGTTAGAGGGAGTAGCTTTGTAACTGATTTAGAGAAATACAATCTTGCATTTAGGTATGAGT TTACAGCACCTTTTATAGAATATTGCAACCGTTGCTATGGTGTTAAGAATGTTTTTAATTGGATGCATTA TACAATCCCACAGTGTTATATGCATGTCAGTGATTATTATAATCCACCGCATAACCTCACACTGGAAAAT CGAAACAACCCCCCTGAAGGGCCTAGTTCATACAGGGGTCATATGGGAGGGATTGAAGGACTGCAACAAA AACTCTGGACAAGTATTTCATGTGCTCAAATTTCTTTAGTTGAAATTAAGACTGGTTTTAAGTTGCGCTC AGCTGTGATGGGTGACAATCAGTGCATTACCGTTTTATCAGTCTTCCCCTTAGAGACTGATGCAGGCGAG CAGGAACAGAGCGCCGAGGACAATGCAGCGAGGGTGGCCGCCAGCCTAGCAAAAGTTACAAGTGCCTGTG GAATCTTTTTAAAACCTGATGAAACATTTGTACATTCAGGTTTTATCTATTTTGGAAAAAAACAATATTT GAATGGGGTCCAATTGCCTCAGTCCCTTAAAACGGCTACAAGAATGGCACCATTGTCTGATGCAATTTTT GATGATCTTCAAGGGACCCTGGCTAGTATAGGTACTGCTTTTGAGCGATCCATCTCTGAGACACGACATA TCTTTCCTTGCAGAATAACCGCAGCTTTCCATACGTTCTTTTCGGTGAGAATCTTGCAATATCATCACCT CGGATTTAATAAAGGTTTTGACCTTGGACAGTTAACACTCGGCAAACCTCTGGATTTCGGAACAATATCA TTGGCACTAGCGGTACCGCAGGTGCTTGGAGGGTTATCCTTCTTGAATCCTGAGAAATGTTTCTACCGGA ATCTAGGAGATCCAGTTACCTCAGGTTTATTCCAGTTAAAAACTTATCTCCGAATGATTGAGATGGATGA TTTATTCTTACCTTTAATTGCGAAGAACCCTGGGAACTGCACTGCCATTGACTTTGTGCTAAATCCTAGC GGATTAAATGTTCCTGGGTCGCAAGACTTAACTTCATTTCTGCGCCAGATTGTACGTAGGACTATCACCC TAAGTGCGAAAAACAAACTTATTAATACCTTATTTCATGCATCAGCTGACTTCGAAGACGAAATGGTTTG TAAGTGGCTCTTATCATCAACTCCTGTTATGAGTCGTTTCGCAGCCGATATATTTTCACGCACGCCGAGC GGGAAGCGATTGCAAATTCTAGGATACTTGGAAGGAACACGCACATTATTAGCCTCTAAGATCATCAACA ATAATACAGAGACGCCGGTTTTGGACAGACTGAGGAAGATAACATTGCAAAGGTGGAGTCTATGGTTTAG TTATCTTGATCATTGTGATAATATCCTGGCGGAGGCTTTAACCCAAATAACTTGCACAGTTGATTTAGCA CAGATCCTGAGGGAATATTCATGGGCACATATTTTAGAGGGGAGACCTCTTATTGGAGCCACACTCCCAT GTATGATTGAGCAATTCAAAGTGGTTTGGCTGAAACCCTACGAACAATGTCCGCAGTGTTCAAATGCCAA GCAACCTGGTGGGAAACCATTCGTGTCAGTAGCAGTCAAGAAACATATTGTTAGTGCATGGCCAAATGCA TCCCGAATAAGCTGGACTATCGGGGATGGAATCCCATACATTGGATCAAGGACAGAAGATAAGATAGGGC AACCTGCTATTAAACCAAAATGTCCTTCCGCAGCCTTAAGAGAGGCCATTGAATTGGCGTCCCGTTTAAC ATGGGTAACTCAAGGCAGTTCGAACAGTGACTTGCTAATAAAACCATTTTTGGAAGCACGAGTAAATTTA AGTGTTCAAGAAATACTTCAAATGACCCCTTCACATTACTCGGGAAATATTGTTCATAGGTACAACGATC AATACAGTCCTCATTCTTTCATGGCCAATCGTATGAGTAACTCAGCAACGCGATTGATTGTTTCTACAAA CACTTTAGGTGAGTTTTCAGGAGGTGGCCAATCGGCACGCGACAGCAATATTATTTTCCAGAATGTTATA AATTATGCAGTTGCACTGTTCGATATTAAATTTAGAAACACTGAGGCTACAGATATCCAGTATAATCGTG CTCACCTTCATCTAACTAAGTGTTGCACCCGGGAGGTACCAGCTCAGTACTTAACATACACATCTACATT GGATTTAGATTTAACAAGATACCGAGAAAATGAATTGATTTATGACAATAATCCTCTAAAAGGAGGACTC AATTGCAATATCTCATTTGATAACCCATTTTTCCAAGGCAAACAGCTGAACATTATAGAAGATGACCTTA TTCGACTGCCTCACTTATCTGGATGGGAGCTAGCTAAGACCATCATGCAATCAATTATTTCAGATAGCAA TAATTCGTCTACAGACCCAATTAGCAGTGGAGAAACAAGATCATTCACTACCCATTTCTTAACTTATCCC AAGATAGGACTTCTGTACAGTTTTGGGGCCTTTGTAAGTTATTATCTTGGCAATACAATTCTTCGGACTA AGAAATTAACACTTGACAATTTTTTATATTACTTAACTACCCAAATTCATAATCTACCACATCGCTCATT GCGAATACTTAAGCCAACATTCAAACATGCAAGCGTTATGTCACGATTAATGAGTATTGATCCCCATTTT TCTATTTACATAGGCGGTGCTGCAGGTGACAGAGGACTCTCAGATGCGGCCAGGTTATTTTTGAGAACGT CCATTTCATCTTTTCTTACATTTGTAAAGGAATGGATAATTAATCGCGGAACAATTGTCCCTTTATGGAT AGTATATCCATTAGAGGGTCAAAATCCAACACCTGTTAATAATTTCCTCCATCAGATCGTAGAACTGCTG GTGCATGATTCATCAAGACACCAGGCTTTTAAAACTACCATAAATGATCATGTACATCCTCACGACAATC TTGTTTACACATGTAAGAGTACAGCCAGCAATTTCTTCCATGCGTCATTGGCGTACTGGAGGAGCAGGCA CAGAAACAGCAACCGAAAAGACTTGACAAGAAACTCTTCAACTGGATCAAGCACAAACAACAGTGATGGT CATATTAAGAGAAGTCAAGAACAAACCACCAGAGATCCACATGATGGCACTGAACGGAGTCTAGTCCTGC AAATGAGCCATGAAATAAAAAGAACGACAATTCCACAAGAGAACACGCACCAGGGTCCGTCGTTCCAGTC ATTTCTAAGTGACTCTGCTTGCGGTACAGCAAACCCAAAACTAAATTTCGATAGATCGAGACACAATGTG AAATCTCAGGATCATAACTCAGCATCCAAGAGGGAAGGTCATCAAATAATCTCACATCGTCTAGTCCTAC CTTTCTTTACATTATCTCAAGGGACACGCCAATTAACGTCATCCAATGAGTCACAAACCCAAGATGAGAT ATCAAAGTACTTACGGCAATTGAGATCCGTCATTGATACCACAGTTTATTGTAGGTTTACCGGTATAGTC TCGTCCATGCATTACAAACTTGATGAGGTCCTTTGGGAAATAGAGAATTTTAAGTCGGCTGTGACGCTGG CAGAGGGAGAAGGTGCTGGTGCCTTACTATTGATTCAGAAATACCAAGTTAAGACCTTATTTTTCAACAC GCTAGCTACTGAGTCCAGTATAGAGTCAGAAATAGTATCAGGAATGACTACTCCTAGGATGCTTCTACCT GTTATGTCAAAATTCCATAATGACCAAATTGAGATTATTCTTAACAACTCAGCAAGCCAAATAACAGACA TAACAAATCCTACTTGGTTTAAAGACCAAAGAGCAAGGCTACCTAGGCAAGTCGAGGTTATAACCATGGA TGCAGAGACGACAGAGAATATAAACAGATCGAAATTGTACGAAGCTGTACATAAATTGATCTTACACCAT GTTGATCCCAGCGTATTGAAAGCAGTGGTCCTTAAAGTCTTTCTAAGTGATACCGAGGGTATGTTATGGC TAAATGATAATCTAGCCCCGTTTTTTGCCACTGGGTATTTAATTAAGCCAATAACGTCAAGTGCCAGGTC TAGTGAGTGGTATCTTTGTCTGACGAACTTCTTATCAACTACACGTAAGATGCCACACCAAAACCATCTC AGTTGTAAGCAGGTAATACTTACGGCATTGCAACTGCAAATTCAACGGAGCCCATACTGGCTAAGTCATT TAACTCAGTATGCTGACTGCGATTTACATTTAAGCTATATCCGCCTTGGTTTTCCATCATTAGAGAAAGT ACTATACCACAGGTATAACCTTGTCGATTCAAAAAGAGGTCCACTAGTCTCTGTCACTCAGCACTTAGCA CATCTTAGGGCAGAGATTCGAGAATTGACCAATGATTATAATCAACAGCGACAAAGTCGGACTCAAACAT ATCACTTTATTCGTACTGCAAAAGGACGAATCACAAAACTAGTCAATGATTATTTAAAATTCTTTCTTAT TGTACAAGCATTAAAACATAATGGGACATGGCAAGCTGAGTTTAAGAAATTACCAGAGTTGATTAGTGTG TGCAATAGGTTCTATCATATTAGAGATTGTAATTGTGAAGAACGTTTCTTAGTTCAAACCTTATATTTAC ATAGAATGCAGGATTCTGAAGTTAAGCTTATCGAAAGGCTGACAGGGCTTCTGAGTTTATTTCCAGATGG TCTCTACAGGTTCGATTGAATAACCGTGCATAGTATTTTGATACTTGTAAAGGTTGGTTATCAACATACA GATTATAAAAAACTCATAAATTGCTCTCATACATCATCTTGATCTGATTTCAATAAATAACTATTTAGAT AACGAAAGGAGTCCTTACATTATACACTATATTTGGCCTCTCTCCCTGCGTGATAATCAAAAAATTCACA ATACAGCATGTGTGACATATTACTGCTGCAATGAGTCTAACGCAACATAATAAACTCCGCACTCTTTATA ATTAAGCTTTAACGATAGGTCTGGGCTCATATTGTTATTGATATAGTAATGTTGTATCAATATCTTGCCA GATGGAATAGTGCTTTGGTTGATAACACGACTTCTTAAAACAAAACTGATCTTTAAGATTAAGTTTTTTA TAATTGTCATTGCTTTAATTTGTCGATTTAAAAATGGTGATAGCCTTAATCTTTGTGTAAAATAAGAGAT TAGGTGTAATAACTTTAACATTTTTGTCTAGTAAGCTACTATTCCATTCAGAATGATAAAATTAAAAGAA AAGACATGACTGTAAAATCAGAAATACCTTCTTTACAATATAGCAGACTAGATAATAATCTTCGTGTTAA TGATAATTAAGGCATTGACCACGCTCATCAGAAGGCTCACTAGAATAAACGTTGCAAAAAGGATCCCTGG AAAAATGGTCGCACACAAAAATTTAAAAATAAATCTATTTCTTCTTTTTTGTGTGTCCA ================================================ FILE: tests/input/empty.fasta ================================================ ================================================ FILE: tests/input/ref.lasv.fasta ================================================ >gi|23343509|ref|NC_004296.1| Lassa virus segment S, complete sequence CGCACAGTGGATCCTAGGCTATTGGATTGCGCTTTGCTTTTGTCATTTTGGCAGATAGTCTCAGTTCTTT GTTGCGTGCATACAACACAACAATCTGGCGATGAGTGCCTCAAAGGAAATAAAATCCTTTTTGTGGACAC AATCTTTGAGGAGGGAATTATCTGGTTACTGCTCCAACATCAAACTACAGGTGGTGAAAGATGCCCAGGC TCTTTTACATGGACTTGACTTCTCCGAAGTCAGTAATGTTCAACGGTTGATGCGCAAGGAGAGAAGGGAT GACAATGATTTGAAACGGTTGAGGGACCTAAATCAAGCGGTCAACAATCTTGTTGAATTAAAATCAACTC AACAAAAGAGTATACTGAGAGTTGGGACTCTAACCTCAGATGACTTATTAATCTTAGCCGCTGATCTAGA GAAGTTAAAGTCAAAGGTGATCAGAACAGAAAGGCCATTAAGTGCAGGTGTCTATATGGGCAACCTAAGC TCACAGCAACTTGACCAAAGAAGAGCTCTCCTGAATATGATAGGAATGAGTGGTGGTAATCAAGGGGCTC GGGCTGGGAGAGATGGAGTGGTGAGAGTTTGGGATGTGAAAAATGCAGAGTTGCTCAATAATCAGTTCGG GACCATGCCAAGTCTGACACTGGCATGTCTGACAAAACAGGGGCAGGTTGACTTGAATGATGCAGTACAA GCATTGACAGATTTGGGTTTGATCTACACAGCAAAGTATCCCAACACTTCAGACTTAGACAGGCTGACTC AAAGTCATCCCATCCTAAATATGATTGACACCAAGAAAAGCTCTTTGAATATCTCAGGTTATAATTTTAG CTTGGGTGCAGCTGTGAAGGCAGGAGCTTGCATGCTGGATGGTGGCAATATGTTGGAGACAATCAAGGTG TCACCTCAGACAATGGATGGTATCCTCAAATCCATTTTAAAGGTCAAGAAGGCTCTTGGAATGTTCATTT CAGACACCCCTGGTGAAAGGAATCCTTATGAAAACATACTCTACAAGATTTGTTTGTCAGGAGATGGATG GCCATATATTGCATCAAGAACCTCAATAACAGGAAGGGCCTGGGAAAACACTGTCGTTGATCTGGAATCA GATGGGAAGCCACAGAAAGCTGACAGCAACAATTCCAGTAAATCCCTGCAGTCGGCAGGGTTTACCGCTG GGCTTACCTATTCTCAGCTGATGACCCTCAAGGATGCAATGCTGCAACTTGACCCAAATGCTAAGACCTG GATGGACATTGAAGGAAGACCTGAAGATCCAGTGGAAATTGCCCTCTATCAACCAAGTTCAGGCTGCTAC ATACACTTCTTCCGTGAACCTACTGATTTAAAGCAGTTCAAGCAGGATGCTAAGTACTCACATGGGATTG ATGTCACAGACCTCTTCGCTACACAACCGGGCTTGACCAGTGCTGTCATTGATGCACTCCCCCGGAATAT GGTCATTACCTGTCAGGGGTCCGATGACATAAGGAAACTCCTTGAATCACAAGGAAGAAAAGACATTAAA CTAATTGATATTGCCCTCAGCAAAACTGATTCCAGGAAGTATGAAAATGCAGTCTGGGACCAGTATAAAG ACTTATGCCACATGCACACAGGTGTCGTTGTTGAAAAGAAGAAAAGAGGCGGTAAAGAGGAAATAACCCC TCACTGTGCACTAATGGACTGCATCATGTTTGATGCAGCAGTGTCAGGAGGACTGAACACATCGGTTTTG AGAGCAGTGCTGCCCAGAGATATGGTGTTCAGAACATCGACACCTAGAGTCGTTCTGTAAATGGACGCCC CCGTGACCCACCGCCAATAGGCGGTGGGTCACGGGGGCCCTGACAAGGGTCTCATCTCTTCCATTTCACA GGCACACCAGGCTGTTTGTAGAGTCCACAGGAACAAATGCCCATATGATTCAATCTGTGAGGTTTGGGAC ACGACTTGCCTACAATATGCCTATGAGTTGGTATTTTGACTAGGTGAAGGAAGATGCTAATAAGATAGAA ACTTGTACTGAACACAAAGAGGTCAACTAGACCCAATGGTGTCTTCCCCTGCCTCTCCATATACTCCTTC TGTAACATCTCAGTGATCATATTGTCAGCTTGTTGTTCAATATCATCAGAAAAGTGGGTCTCGTTCAAGT ATGAACCATTTGATACAAGCCAACATTTGGGCAGTGATGTTCTCCCAGTAGTTGTGTGGTTGAGGTACCA ATACTTGCTGTAATTACAGTATGGAATTCCCATGATGTCCCGTAGATGGTTCTTCATTATAAGTTGGTCA TTTATCAAAGCATTTACTGCTTTGTTGATCAACTGAATGCTCATTTGTGCTTCAGCTTTCAACCTTTGAA TGGCTTGTTTGTTGAAGTCAAACAGCCTCAGCATGTCACAAAATTCCTCATCATGCTTCTCATTACATTT TGCCACAGCTGTGTTCCCGAAGCATTTTAGTTCAGCCTCAATTAGCATCCACCTGGTCAGACAATATCCC CCTGGTGTGTCTTTACCTTCAGAATCTGACAGTGTCCATGTGAATGTGCCTAGCAATCTTCTACTAATAT AAATATCTCTAGTCCTTTGTGAGAGGAGCCCGAGATAACCGATGGGAGATGGTCTCGAGAATTGGCAGTG ATCTTCCCAGGTTGTATTTTGGATTATCAGATATTGATAACTAGTCATAATACAGTCCCAGTTGCCACGG CCTGAGTCAAGAGCAATGTAGCTCCCACCCCAAGCCATCCTCATAAAAGTCTGTAACACACCATTTGCAA CAGTACCACAATGGTTGGCTGCATCCCCAGCATAGCTGTGACTCAGGTTGTACTGCACACTAATCTTTCC CCCATTAAAATCGCAGCTCATTGCCTCATACTGATTGAAGTTGGGGATGGACAAGTGGAAAGTTGAGATT ATGCTCATAAGAGCGTGGTCATAGAGGTTCTTTTTGTGGGCATCAGACAGATTGCAAAATTTGTGATTAA TAATGCTCGTGTTGGTCAAGGTCAGTTCTAGTCCTGTCTCATTGCCCACCATTATATAATGATGACTGTT GTTCTTTGTGCAGGAGAGAGGCATGGTCATATTGAGTGTCTCCATGTTTAGTTCCAGAGTCTGAAGCTCA TAAACCCCTTTATAAAGACTGGTTGTGCAAGACCTACCACACAACAGGAGGAAAGTGACCAAACCAACAA GGCCACACGTTGCAAAATTGTACAGACCTTTCAGCACTGCTAGTACAGACAGTGCAATGAGAACAATGTT CATCACCTCTTCTATTACATGAGGCACTTCCTGGAAGAATGTCACTATTTGTCCCATTTTAAATAGGACA CTTGAATTGCGCAACCAAAAATGCCTAGGATCCCCGGTGCGC >gi|23343512|ref|NC_004297.1| Lassa virus segment L, complete sequence CGCACCGGGGATCCTAGGCAATTTGGTTGTCTTTTTTTGAGGCCTTGTGCGCTGTACTTCTCCAAATGGG AAACAAGCAAGCCAAAGCCCCAGAATCAAAAGACAGTCCGAGAGCCAGCCTGATCCCAGATGCCACACAT CTAGGGCCACAGTTCTGTAAGAGCTGCTGGTTCGAAAACAAGGGCCTGGTTGAGTGCAACAACCACTATC TGTGTCTCAACTGCCTCACCTTACTTCTAAGTGTCAGCAACAGGTGTCCCATTTGCAAGATGCCTCTCCC CACAAAACTGAGACCATCAGCCGCTCCAACAGCACCTCCAACCGGAGCAGCGGACAGCATCAGACCCCCA CCCTACAGTCCCTGAATCTCCCACCGACCCCCACCACTCCCATCCTCCCCCCGACACCCCCCGGGGGGAC CCCCCGCCGGGGGCCCCCCCGGGGGAGCCAACCATCACCAAAAAACTACTCAATGTCTTCGATGCATTCA TCCTTCCTAGTCAGCTCCTCACATGTTCTGCCCTTCAATCTCAATTTACCACCACTTGATTGTACCATCA CCTTTCCCCTTGACTTACTATAACAGAGAGCATAACCCTTGAACTCCACCCAGTTGTCCACTGCCTCAAG AACCGCACTCAAGATCCCCTCACAACTCGGCGCTGCAGCCCTAAGTGTGGAGACAATGTCCACCCCTGAC CACTGCATCCTTAACCCCAGCCTGTCTATCATCATATCACTCAATGCCCCAATCAGCAGGTCAGACGAAG TGTCCCCAACCTCTCTCACAAATATCTCAAGATCCTGGTCTTGTATAACAGGTGTAAAGGATGCCAATTT CTTTCCACATTCCCACAAGCCTCCCCTATGCACAACCAGGGGGGTTGGTTCAGTGCAAGGACCCACCAAT ACAAAGTCATACTCCGTAAACTGCAACCTTTCCATATCAACAACAATCTCAACAGGGGTCACATGCCCTA GTTGATTTGTGTCAATTAAAAACTCATTAATGATCTCGGTGTCAACATACCATGCTGATTTGCCCTTGAA AGTAGGTCCTGACAAAACCAGTCTCCAACAGTCTGACAAGACACACGGACTCACTGCACCTGAGTACATA ACGGTTACATCATGTACTAGATACTTGGCCTGTTGATTCATTGAGCCAGTATACTCAAGGTGGATGGCAA AGCTTTCCTTAAAACTAGCATCTTGACTTTTAACACGGAACCTCACTGTCTGACTCAGTTTTGCAGACCC TGGAGGTAGTGAAGCTACGGCATCAAAGAAATCCTCCAATGAGTCAAACTTAGGATCAACTAAACCTGAT GCGATCAATTGATTTTGATTGAATCTAGCTGGCTCAATATCAAAGTCTATCCAAGCATAACCCATCATCA GATCATGCTTAAACATTGGCCTTTCAACACCTTTGTGAATAACTTTCTCTACAAATGAAGAAAATGGACC CATTCTATGCAACCCTTCACCCTCTGGAACTGATGTCTTGTGTGGAAACCACGTGAAGGACCCCAATGTT CTTGTAGTCGCAACAAATGGTCTCACGTAAGACTCAAAATAAATTTGCCTCATGAAATTGTCAACAGCAT CACTAGTGCTCACTACTCTTTCTTCCACCATGGGTTCATGTGTCCTACTGTGAGACAACCTCAATTCAGA TGATAACACAATGTAATGTTCCTCTCTTTTCCATTTTACTATGTGTGAGACAAGAGACAAGGCTTCACAG TTAACATCCAACGCTACACAGAGATCTAGAAATTTTATTCTGGGTGACCACTTCATTTTGGTTGACGCTA GATCGCTCATGAATGGTAATATGTGTTTCTCAAACACTGATGGGTACAGCCTTCTTAAAGAATGAATGAT GTGATTCAAACCAACCCTATCCTCCAATAGTTTTGATGCAGTTGGCTTTAAGGGAAAATAGTCACAAGGG TTATGTTTGAAAAAATCAAACACCTTAACTGTCTTAGGTTCCCCTAAGACCCATGCACCCAGTTCTATTG CAGTTGATAAGGAGATGCACATATAATCCCATAACAAGGGTCTGAAATAACTGACCACACTTTCACCTCC ACTTCCATTTCTAAGTTCTAGCGGAACTTGCCAATATTGAATGCCATTAGAATTTGTCAACAATTTGATT CCCTTGACATCAGAAATCAGAGACTGAATGGACTTAATATACAGATTCTCTTTATTTGGTCCCCGAACAC ATTTGCTACCCAATGTTCTGCACAATCCTACAAAGCCAGATGCAATGGAACTTTGGAATGCAGATTTGTT GATAGCTTCAGACAGCAATTTTTGCGCACCTCGAGTGAAAGTGGAAGACAACTTATTTTGGATTGTTTTG ACAATGGTAGGAATCTTCTCATCATCTAGGTTCACAGCACCTGAATATATTATCTTTTGTCTCAACACCA TTCTTAAAGGATGATGCGCAGCCAAGTTTAGCCAAGAATACTCAAGGTCAGACTCAGATGGGGGCTCAAC ATCCAACAGCTCACAAAGATTTCTTAGTGATGAGAGGTGCTCACTAGACAAATAGTTTGTTGTGAACTCT TCATGGAGTTGCCCAGTCTTCAACCTATTGTACAGTTTTCTTAACATAGATCTAATCTTGCTGCAAGCAT TAGGAATCAATCCCTCTATTTGCCTCATAATCCTATAACTACGGTTGCCATCTACCCAGTCTCTAACATC TGTCTCGCAATTCAATAAGAATGGGTCAATAGGGTATCTTGCATATTGCAAAGGATTTAAGGTTCTTTTC TGTATTAGATTACATAAGTGAACAGGGACACCATTCGCAACCGACTGATCAATGATTGTGTCAATTGTTT CTGCCAGTTGGTGTGGCTCTTTACACTTTATATTGTGAAGAGCTGCTGCAACGAACTTTGTCAATAATGG CACTTCATCTCCCCAAACAAAAAATCTAGATTTAAACTCTGCAACAAACCTGCCAATGACACTTTTAGGG CTCACAAACTTATTGAGTTGATCACTCATATAATAGTGGAACTCTATTAGAGTCCTAAATTCTTCTGGGT CTCTTTGCAAAAGCTCTGTGAGAGATTGATCAAAGAGAGAAATCTGATCATCACTAGAGGTATAAGCATC TATCGTACCACCGCATATACAACTGATAGCATAATTAATGAACCTCTCTGAAATGAGGGCATAAAAATCT GATGTGTTGTGTAATATTCCTTGACCCATGTCAAGTATTGAACTGATGTGAGAAGGCACTACACCAGCTT GGAAATTAGAGTAAAAGAAATCTTCTGTTATTGACTGTTTAGTTTTCTTCCTTAACCCTAGTTGGGCTTT AATGAAAGACTTCATCATGGCTGTCACCACATTAAAAGGTATTTCCACCATTTTGTGCATATGCCACATA AGTAGGGTTGAGAGATAGTCCCTCCCTTTTATGTCAGCTTGCAAGTCCTTTGAGAGGAAAATTAAATTCT GTAAGACAGTCAAGAACAAAAATGGACACATCATTGGGCCCCACTTACTATGATCCATGCTATAAGACAC ATGTGCCAATGAAACATTCAATTTCATGGAAAGGATAGCATTTTCAAATTCCTTCTCGTTGTTCAGGCAA CTCCCTGATAACTGTAGGCTTATAGCTTCAAAGTAATCTTCTATAAGTCTAGTAAACATCTTTGTTCTAA GATCACCAATATATAATTCTCTGTTACCACCCACTTGTTCTTTATATGACAAAGAAAACTTAAGCCTTCC TGTATCAGGTCCCACTGAGTCATAAGATTGTGGCGACTCTTGGCTATAAAAACACAAATTCTTTAACATT GCTGTGGTACAGTTTGTCAGTGACAGAGCCTTACTAAGTGCCTCTGAATTGCTCTCCCTTTCACTAATTC TTACATCATCAGAGAGTTTACCCATATCAAACTTGAAATTAAGGTTCCTTGACTTATAATGAGTGTACCT CCCCATAAGTGTATTCGCATTCATGATCAAGAGTATGGACTTAAAACACTGAAAGTATTCATGGTTAAAG TATGTCCTTGTTGACACTGCCTTTGTCAACTCTCCAATAGGACACTGTGACATATGTCCACAGTAAAAAT ACTTCTGCTTCAATCTACTATTCTCATAGACAGCATTACAGAATTCTTCATAAAATTTACCTGGTAAGAT ATCATGATCAAACTCCTCAACCATGTGATTGGATAATTCACCCTTGATCAACCTAATGTAAAACTTATTT GAGACAATCTCATCTAGATCATTTATTGATGGTTGGCCATCACCATTAGGGCCTGAGCCTAGCTTGACAG GTTCCCTATACTGATCAACAATTTTTTCAACAGTCTCCTTTAGCTGATCAAAATAATCGCTTGCACCTCC ATCGAGCAAAATTTCGTCTAGGTCAGCCCCATCAGCATCACTTTTGAGCTGCCCAGATCCTAGAACCAAA TTGCTCATTGCCTGCTGAACTTTGTACTCATAGTCCTGCTTGTTGAGAAGGTACTTTCCTTTCCTTGAGA AGACTTCAGTGAGCTGCGACACGGCCAGTGCTGTGAGCTTATTGAAGTCATAGTTTAATATTCTAGAACC ATCTGTGTATTTATTAACAACAACACTTTTCTTGCTGGCTAAATCCAAGGCTGCACTGCCACTGGTGATG AGAGGATCTTTGATTTCCCTTTTTACTTCCCTCTCCTTAAATAGTGAACCATTGTTAAAAGAGGATGTAA GAAGAGATAAATACTTCTTTGAAACACCAGGCCTTTTATAATCTGGTCCCTCGATAGTTGTGCATCCATC TTTACTTAAAAACTTTTTTGCATTGTAGACCATGTCATCCAATTCTTCCTCAGTGGCTGTGTCTGCAGGA TTAGTGCTCACATGACCAAATCTCACCTTTGGTTCCAGAAACTTCTCAAAACATTTTATCTGATCTGTCA ATCTATCTGGTGTTTCTTTCGTAATGAAGTGGCACATGTAGGAAACATTCAAAATGAACTTGAACCTATT AGTCATCATGCTCTTCACATCCTCAGATAAAACCAGATTCATTAATGTCCTTATTAACCTATAGAGCAGG AACTCAACATCAGTGATTAATTCTTCCCTTATTTTGTCAATGAGGTCCTTATGATGATAATCTGATAGAT AAGCCATTACAAAGTACCTAAGATTTTGGAGGAGCTTTTGAGAACGTTTACTGGGGTGAGCTAAAATTAA AACCAGGATCATCTTTGTCAGAGACCTGATATTGTTCAACTGCCCTTCCAGCTCATTGCAATCTTCTATC CAAGAAATCATAGTGCTTATTGTTGTTTGTAAAACCTCAGCTGAAAATATTGCTGGAAAATATCTTTTAG GATCAGCATAAAATGAGCACACCTCACCAACTTTGTTATCATTAATAGCATAGCACTTCGAGCACTCCCC TGTCTTTTGATAAATCAGTTGTAATTCAGTGTTACCCAATGAAAACTCTTGACAATATGCTTCTTTGCAT CTGACCACTTGATACCTTGCGGGTCCAAATTCATTCTGTCTCAGCTTTACGGTAGAAGAAGTTTTCATAG AGTTCACCAAAGCGAGGCTCAATGAGGAAAGTCTCTCTAAGTCAGTGGTTCCCAGTAGTTCCACATCCCC CATCACATAAGGGAATGTTTCTTCCTCTGTTCTCTGATAACTGATTGTTGGGACAACTCCGGAGACATCA AAGTCCATAATCAAATCATAGCTGTTAAGGCAGATCACCTCCATATCAATTTTATAGTGGTCCACACTGA TCCCAACATCCTTTAAAGCAGTGGTGGCCTTCAAAATGGTTTTCTGGAATATTGAATTGAGGATTTGATT CTTACTCAAACACTGGGAGGACTGTGTGATTCTAGATCTTAGCCTGTTGCCTCGCTCTCCCCATTTCTCG AGATCCCTCTTTGTTGCCTCCAAAGAAACTAGTCTATCTTTAACTCTTAAGAAGCAAGACCCCAACCACC CTTTTAAACACTTTTGTTTCATCAGGTCATGCTTACTTGCAAGGAGAATTAGTGCATCAAAAATTAATAG AAGTTTCCTCCTTGTGTTCAATATCCTCAAAGATTTTACTTTATTTAGGAATGATCTCCAGCATTGAACC TGACATTCTCCAATAGTTTGGTTTCCCCTTTTTTCATTCCCCTCATCAACATTTGCATACAAAAATCTCA ATATTGGTGATGCTCTCTTGAACTGGTAAATTAAGTGTTCGATATTGTCTTCTGCAACTACCTTATCAGC GTACAAATTGTTAAGCTCATTAAGTAACTGGCTCTTATCAACCTTTAAAAACTGACCTTCTATCTCTCCT TTCCTCAATCTGTTCCTAAACACTTGATACTCCTCTTCGATCTGCAGCTTTACCTCATGAGCTGTTAATT TATTATTGATGCCCTGGTGGCATGAGGCAATCACTTCCTCATAATGATTAGAGCGATTGTCCATCAGAAC ATTTAAACTCTCCACCCCTGATAATCTACCCGAAGTCATGAATAAAGATTCACAGAGTCTGCTATACTCT GACTCTTCAAAAAGTGAATTACTCTCCTGTGCATACTTTAAAAGTGAGAAGAGCGTATCCCTCAACTTAT CATTGACCCAGTCAGGTATTTGTTCATTGTAGAATGATGTTCTCCCGTCTATAAGTGGTATTAAATTGAT GTCGACACTCTTCAGGTCTTCTTTCAGCTGCTCTAATTTTTTGAAGTCCTCAATGTACTTCTGCTCAAAG TTAGCAGGAGATGATCTAACAAAACACTCCAGCAGTATTAGAACATTGCCCGTCAGTTTGTAACCGTCCG GGTACCACAAACATAGTGAAGGTGTCAAGATTCCATGGTCATGGAGAATTCTTTCCACAGATTTGTCCTC ACTGTTATGCTCGCAACCATTTGCGTTGCAAGAATCAACCTCAATACAGAGGGACAAGAGTTTCAACCCT TCCATTAATAGCATCCTAGGCTCTGTCTGCACAAGAAATGCTAACTTCTGTCTTGACAATCTCTCGTTGT CCACTAGGTATTTTGATACTAAGTCTTTGACACAGGCTATGTCTTCCTCCATGTTTAGCTGCAGGTATGA TGTTCAGAACCCTCAGAACATGTGGTCTGCTAGAGCAACAGTTCGCTATGGGATAGGGTCCCGTAGGGGC ACAGAAGACACAAGAGGCAATTAAAGACAATTAAATAAGATAGCCTTAATGCCTAGGATCCTCGGTGCG ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/hybsel_probe_adapters.fasta ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/hybsel_probe_adapters.nhr ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/hybsel_probe_adapters.nin ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/hybsel_probe_adapters.nsq ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/metag_v3.ncRNA.mRNA.mitRNA.consensus.dict ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/metag_v3.ncRNA.mRNA.mitRNA.consensus.fasta.fai ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/metag_v3.ncRNA.mRNA.mitRNA.consensus.nhr ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/metag_v3.ncRNA.mRNA.mitRNA.consensus.nin ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/metag_v3.ncRNA.mRNA.mitRNA.consensus.nix ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/blast/metag_v3.ncRNA.mRNA.mitRNA.consensus.nsq ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.bitmask ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.amp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.idx ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.imp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.pmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.rmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.ss ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.ssa ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/GRCh37.68_ncRNA-GRCh37.68_transcripts-HS_rRNA_mitRNA.srprism.ssd ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.bitmask ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.amp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.idx ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.imp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.pmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.rmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.ss ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.ssa ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/hg19.srprism.ssd ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.bitmask ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.readme.txt ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.amp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.idx ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.imp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.pmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.rmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.ss ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.ssa ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bmtagger/metagenomics_contaminants_v3.srprism.ssd ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bwa/hg19.amb ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bwa/hg19.ann ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bwa/hg19.bwt ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bwa/hg19.pac ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/bwa/hg19.sa ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/kaiju/nr/nr.fmi ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/krakenuniq/database.idx ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/krakenuniq/database.jdb ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/krakenuniq/database.kdb ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/krakenuniq/lca.complete ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/krona/taxonomy.tab ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/rna_bwa/human_viral_rrna.amb ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/rna_bwa/human_viral_rrna.ann ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/rna_bwa/human_viral_rrna.bwt ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/rna_bwa/human_viral_rrna.pac ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/rna_bwa/human_viral_rrna.sa ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/spikeins/ercc_spike-ins.fasta ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/taxonomy/merged.dmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/taxonomy/names.dmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/taxonomy/nodes.dmp ================================================ ================================================ FILE: tests/input/s3/sabeti-public-dbs/trim_clip/contaminants.fasta ================================================ ================================================ FILE: tests/unit/assemble/test_assembly.py ================================================ # Unit tests for viral_ngs.assembly.py __author__ = "dpark@broadinstitute.org" import viral_ngs.assembly import viral_ngs.core.cmd import viral_ngs.core.file import Bio.SeqIO import Bio.Data.IUPACData import unittest import argparse import csv import glob import os import os.path import shutil import subprocess import tempfile import argparse import itertools import pytest import viral_ngs.assemble.mummer import viral_ngs.assemble.skani import viral_ngs.assemble.wgsim import viral_ngs.core.minimap2 import viral_ngs.core.picard import viral_ngs.core.samtools from tests import TestCaseWithTmp, _CPUS, IS_ARM def makeFasta(seqs, outFasta): with open(outFasta, 'wt') as outf: for line in viral_ngs.core.file.fastaMaker(seqs): outf.write(line) class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in viral_ngs.assembly.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() class TestRefineAssemble(TestCaseWithTmp): ''' Test edge cases of the de novo assembly pipeline ''' def _align_with_minimap2(self, refFasta, inBam): """Align reads to reference with minimap2, return indexed BAM path.""" mm2 = viral_ngs.core.minimap2.Minimap2() samtools = viral_ngs.core.samtools.SamtoolsTool() outBam = viral_ngs.core.file.mkstempfname('.aligned.bam') mm2.align_bam(inBam, refFasta, outBam, options=['-x', 'sr']) samtools.index(outBam) return outBam def test_empty_input_bam_assembly(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebov-makona.fasta') inFasta = viral_ngs.core.file.mkstempfname('.ref.fasta') shutil.copyfile(orig_ref, inFasta) inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') alignedBam = self._align_with_minimap2(inFasta, inBam) outFasta = viral_ngs.core.file.mkstempfname('.refined.fasta') viral_ngs.assembly.refine_assembly( inFasta, inBam, outFasta, already_realigned_bam=alignedBam, chr_names=['G5012.3'], min_coverage=3) self.assertTrue(os.path.isfile(outFasta)) self.assertTrue(os.path.getsize(outFasta) == 0) def test_aligned_empty_input_bam_assembly(self): mm2 = viral_ngs.core.minimap2.Minimap2() samtools = viral_ngs.core.samtools.SamtoolsTool() with viral_ngs.core.file.tempfname('.ref.fasta') as inFasta: with viral_ngs.core.file.tempfname('.bam') as inBam: with viral_ngs.core.file.tempfname('.refined.fasta') as outFasta: with viral_ngs.core.file.tempfname('.vcf.gz') as outVcf: shutil.copyfile(os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebov-makona.fasta'), inFasta) mm2.align_bam(os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam'), inFasta, inBam, options=['-x', 'sr']) samtools.index(inBam) # run refine_assembly args = [inFasta, inBam, outFasta, "--already_realigned_bam", inBam, '--outVcf', outVcf] args = viral_ngs.assembly.parser_refine_assembly(argparse.ArgumentParser()).parse_args(args) args.func_main(args) # the expected output is an empty fasta file self.assertTrue(os.path.isfile(outFasta)) self.assertTrue(os.path.getsize(outFasta) == 0) self.assertTrue(os.path.isfile(outVcf)) self.assertTrue(os.path.getsize(outVcf) > 0) def test_empty_input_fasta_assembly(self): # empty input fasta should produce empty output regardless of reads inFasta = viral_ngs.core.file.mkstempfname('.input.fasta') viral_ngs.core.file.touch(inFasta) inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') outFasta = viral_ngs.core.file.mkstempfname('.refined.fasta') viral_ngs.assembly.refine_assembly(inFasta, inBam, outFasta, chr_names=['G5012.3'], min_coverage=3) self.assertTrue(os.path.isfile(outFasta)) self.assertTrue(os.path.getsize(outFasta) == 0) def test_empty_input_succeed(self): # both empty fasta and empty bam should produce empty output inFasta = viral_ngs.core.file.mkstempfname('.input.fasta') viral_ngs.core.file.touch(inFasta) inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') outFasta = viral_ngs.core.file.mkstempfname('.refined.fasta') viral_ngs.assembly.refine_assembly(inFasta, inBam, outFasta, chr_names=['G5012.3'], min_coverage=3) self.assertTrue(os.path.isfile(outFasta)) self.assertTrue(os.path.getsize(outFasta) == 0) class TestNormalizeCoverage(TestCaseWithTmp): '''Test the normalize_coverage command''' def test_help_parser(self): parser = viral_ngs.assembly.parser_normalize_coverage(argparse.ArgumentParser()) helpstring = parser.format_help() self.assertIn('max_coverage', helpstring) self.assertIn('seed', helpstring) def test_normalize_coverage_on_aligned_bam(self): '''normalize_coverage should downsample and produce a sorted, indexed BAM''' mm2 = viral_ngs.core.minimap2.Minimap2() samtools = viral_ngs.core.samtools.SamtoolsTool() inDir = viral_ngs.core.file.get_test_input_path() inBam = os.path.join(inDir, 'G5012.3.testreads.bam') refFasta = os.path.join(inDir, 'ebov-makona.fasta') with viral_ngs.core.file.tempfname('.aligned.bam') as alignedBam, \ viral_ngs.core.file.tempfname('.normalized.bam') as outBam: mm2.align_bam(inBam, refFasta, alignedBam, options=['-x', 'sr']) samtools.index(alignedBam) viral_ngs.assembly.normalize_coverage(alignedBam, outBam, max_coverage=10, seed=42) self.assertTrue(os.path.isfile(outBam)) self.assertGreater(os.path.getsize(outBam), 0) # index file should also exist self.assertTrue(os.path.isfile(outBam + '.bai')) # output should have fewer or equal reads compared to input self.assertLessEqual(samtools.count(outBam), samtools.count(alignedBam)) class TestAssembleSpades(TestCaseWithTmp): ''' Test the assemble_spades command (no validation of output) ''' def test_assembly(self): inDir = viral_ngs.core.file.get_test_input_path(self) inBam = os.path.join(inDir, '..', 'G5012.3.subset.bam') clipDb = os.path.join(inDir, 'clipDb.fasta') with viral_ngs.core.file.tempfname('.fasta') as outFasta: viral_ngs.assembly.assemble_spades(in_bam=inBam, clip_db=clipDb, min_contig_len=180, out_fasta=outFasta) self.assertGreater(os.path.getsize(outFasta), 0) contig_lens = list(sorted(len(seq.seq) for seq in Bio.SeqIO.parse(outFasta, 'fasta'))) #import sys #print('test_assembly_contigs_lens:', contig_lens, file=sys.stderr) self.assertEqual(contig_lens, [200, 201, 210, 222, 243, 244, 268, 294, 300, 328, 348, 376, 381, 430]) def test_assembly_with_previously_assembled_contigs(self): inDir = viral_ngs.core.file.get_test_input_path(self) inBam = os.path.join(inDir, '..', 'G5012.3.subset.bam') clipDb = os.path.join(inDir, 'clipDb.fasta') previously_assembled_contigs = os.path.join(inDir, 'trinity_contigs.fasta') with viral_ngs.core.file.tempfname('.fasta') as outFasta: viral_ngs.assembly.assemble_spades(in_bam=inBam, clip_db=clipDb, contigs_untrusted=previously_assembled_contigs, out_fasta=outFasta, mem_limit_gb=1) self.assertGreater(os.path.getsize(outFasta), 0) contig_lens = list(sorted(len(seq.seq) for seq in Bio.SeqIO.parse(outFasta, 'fasta'))) #import sys #print('test_assembly_with_previously_assembled_contigs_contigs_lens:', contig_lens, file=sys.stderr) self.assertEqual(contig_lens, [200, 201, 210, 222, 243, 244, 268, 294, 300, 328, 348, 376, 381, 430]) def test_empty_input_succeed(self): inDir = viral_ngs.core.file.get_test_input_path() inBam = os.path.join(inDir, 'empty.bam') clipDb = os.path.join(inDir, 'clipDb.fasta') with viral_ngs.core.file.tempfname('fasta') as outFasta: viral_ngs.assembly.assemble_spades(in_bam=inBam, clip_db=clipDb, out_fasta=outFasta) self.assertEqual(os.path.getsize(outFasta), 0) def test_always_succeed(self): inDir = viral_ngs.core.file.get_test_input_path(self) inBam = os.path.join(inDir, '..', 'almost-empty.bam') clipDb = os.path.join(inDir, 'clipDb.fasta') with viral_ngs.core.file.tempfname('.fasta') as outFasta: viral_ngs.assembly.assemble_spades(in_bam=inBam, clip_db=clipDb, out_fasta=outFasta, spades_opts='--bad-option', always_succeed=True) self.assertEqual(os.path.getsize(outFasta), 0) class TestAmbiguityBases(unittest.TestCase): def test_non_failure(self): ''' Make sure that alleles_to_ambiguity runs without errors for every possible combination of inputs. Check that the output is one-character long and uppercase. ''' bases = ('A', 'C', 'T', 'G') for i in range(1, 5): for alleles in itertools.permutations(bases, i): out = viral_ngs.assembly.alleles_to_ambiguity(alleles) self.assertEqual(1, len(out)) self.assertEqual(out, out.upper()) class TestUndirectedGraph(unittest.TestCase): def test_simple(self): g = viral_ngs.assemble.skani.UndirectedGraph() g.add_edge('a', 'b') g.add_edge('a', 'c') g.add_edge('b', 'd') actual = list(sorted(g.get_clusters())) self.assertEqual(actual, [{'a', 'b', 'c', 'd'}]) def test_disconnected(self): g = viral_ngs.assemble.skani.UndirectedGraph() g.add_edge('a', 'b') g.add_edge('c', 'd') actual = list(sorted(g.get_clusters())) self.assertEqual(actual, [{'a', 'b'}, {'c', 'd'}]) def test_both(self): g = viral_ngs.assemble.skani.UndirectedGraph() g.add_edge(1, 2) g.add_edge(11,12) g.add_edge(18,15) g.add_node(12) g.add_node(22) g.add_node(55) g.add_edge(25,22) g.add_edge(7,2) g.add_edge(12,18) actual = list(sorted(g.get_clusters())) self.assertEqual(actual, [{1, 2, 7}, {11, 12, 15, 18}, {22, 25}, {55}]) class TestOrderAndOrient(TestCaseWithTmp): ''' Test the MUMmer-based order_and_orient command ''' def test_varicella_big(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.hhv3.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.hhv3.fasta'), os.path.join(inDir, 'ref.hhv3.fasta'), outFasta) self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_lassa_multisegment(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.lasv.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.lasv.fasta'), os.path.join(viral_ngs.core.file.get_test_input_path(), 'ref.lasv.fasta'), outFasta) self.assertEqualContents(outFasta, expected) os.unlink(outFasta) def test_lassa_multisegment_refsel(self): with viral_ngs.core.file.tempfnames(('.out.fasta', '.out_ref.fasta', '.stats.tsv')) \ as (outFasta, outReference, outStats): contigs, expected, expectedStats = self.inputs('contigs.lasv.fasta', 'expected.lasv.fasta', 'expected.refsel.lasv.stats.tsv') refs = [self.input('ref.lasv.{}.fasta'.format(strain)) for strain in ('josiah', 'pinneo', 'KGH_G502', 'BNI_Nig08_A19', 'nomatch')] viral_ngs.assembly.order_and_orient(contigs, refs, outFasta, outReference=outReference, outStats=outStats) self.assertEqualContents(outFasta, expected) self.assertEqualFasta(outReference, refs[0]) self.assertEqualContents(outStats, expectedStats) def test_influenza_multisegment(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.influenza.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.influenza.fasta'), os.path.join(inDir, 'ref.influenza.fasta'), outFasta) self.assertEqualContents(outFasta, expected) os.unlink(outFasta) def test_ebov_palindrome(self): # this tests a scenario where show-aligns has more alignments than show-tiling inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.ebov.doublehit.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.ebov.doublehit.fasta'), os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebov-makona.fasta'), outFasta) self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_ebov_palindrome_refsel(self): # this tests a scenario where show-aligns has more alignments than show-tiling with viral_ngs.core.file.tempfnames(('.out.fasta', '.stats.tsv')) as (outFasta, outStats): contigs, expected, expectedStats = self.inputs('contigs.ebov.doublehit.fasta', 'expected.ebov.doublehit.fasta', 'expected.refsel.ebov.stats.tsv') refs = self.inputs('ref.ebov.lbr.fasta','ref.ebov.sle.fasta','ref.ebov.gin.fasta') viral_ngs.assembly.order_and_orient(contigs, refs, outFasta, outStats=outStats) self.assertEqualFastaSeqs(outFasta, expected) self.assertEqualContents(outStats, expectedStats) def test_hiv_wraparound(self): # this tests a misassembly from Trinity and checks that we still use some of the contig inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.hiv.wrapped.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.hiv.wrapped.fasta'), os.path.join(inDir, 'ref.hiv.fasta'), outFasta) self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_alternate_contigs(self): # this tests that --outAlternateContigs works as expected inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') altFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.hiv.big_indel.fasta') expectedAlt = os.path.join(inDir, 'expected.hiv.big_indel.alternates.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.hiv.big_indel.fasta'), os.path.join(inDir, 'ref.hiv.fasta'), outFasta, outAlternateContigs=altFasta) self.assertEqualContents(outFasta, expected) self.assertEqualContents(altFasta, expectedAlt) @unittest.skip('promer alignments not implemented for custom scaffolding step') def test_lassa_protein(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.lasv.promer.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.lasv.fasta'), os.path.join(viral_ngs.core.file.get_test_input_path(), 'ref.lasv.fasta'), outFasta, aligner='promer') self.assertEqualContents(outFasta, expected) os.unlink(outFasta) def test_multi_overlap(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.ebov.small.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.ebov.fasta'), os.path.join(inDir, 'ref.ebov.small.fasta'), outFasta) self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_ambig_align(self): inDir = viral_ngs.core.file.get_test_input_path(self) contigs_gz = os.path.join(inDir, 'contigs.lasv.ambig.fasta.gz') contigs = viral_ngs.core.file.mkstempfname('.fasta') with viral_ngs.core.file.open_or_gzopen(contigs_gz, 'rb') as f_in: with open(contigs, 'wb') as f_out: shutil.copyfileobj(f_in, f_out) expected = os.path.join(inDir, 'expected.lasv.ambig.fasta') outFasta = viral_ngs.core.file.mkstempfname('.fasta') viral_ngs.assembly.order_and_orient( contigs, os.path.join(inDir, 'ref.lasv.ISTH2376.fasta'), outFasta) def get_seqs(fasta): return [str(s.seq) for s in Bio.SeqIO.parse(fasta, 'fasta')] self.assertEqual(get_seqs(outFasta), get_seqs(expected)) def test_ambig_align_ebov(self): inDir = viral_ngs.core.file.get_test_input_path(self) contigs_gz = os.path.join(inDir, 'contigs.ebov.ambig.fasta.gz') contigs = viral_ngs.core.file.mkstempfname('.fasta') with viral_ngs.core.file.open_or_gzopen(contigs_gz, 'rb') as f_in: with open(contigs, 'wb') as f_out: shutil.copyfileobj(f_in, f_out) expected = os.path.join(inDir, 'expected.ebov.ambig.fasta') outFasta = viral_ngs.core.file.mkstempfname('.fasta') viral_ngs.assembly.order_and_orient( contigs, os.path.join(inDir, 'ref.ebov.makona_C15.fasta'), outFasta) def get_seqs(fasta): return [str(s.seq) for s in Bio.SeqIO.parse(fasta, 'fasta')] self.assertEqual(get_seqs(outFasta), get_seqs(expected)) def test_obscure_mummer3_bug(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.lasv.bug.fasta') # under mummer3, this fails with a weird error in nucmer, # causing a CalledProcessError. We want this to succeed # nucmer, but fail later on due to IncompleteAssemblyError self.assertRaises(viral_ngs.assembly.IncompleteAssemblyError, viral_ngs.assembly.order_and_orient, os.path.join(inDir, 'contig.mummer3_fail_lasv.fasta'), os.path.join(inDir, 'ref.lasv.ISTH2376.fasta'), outFasta) def test_not_all_segments_fail(self): # IncompleteAssemblyError is thrown when only some but not all segments are recovered inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') self.assertRaises(viral_ngs.assembly.IncompleteAssemblyError, viral_ngs.assembly.order_and_orient, os.path.join(inDir, 'contigs.lasv.one_small.fasta'), os.path.join(inDir, 'ref.lasv.ISTH2376.fasta'), outFasta) def test_not_all_segments_succeed(self): # ... unless we specifically allow for partial outputs inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') viral_ngs.assembly.order_and_orient( os.path.join(inDir, 'contigs.lasv.one_small.fasta'), os.path.join(inDir, 'ref.lasv.ISTH2376.fasta'), outFasta, allow_incomplete_output=True) def test_empty_output_succeed(self): # a completely empty output should be possible if we allow it inDir = viral_ngs.core.file.get_test_input_path(self) emptyFasta = os.path.join(inDir, '..', 'empty.fasta') outFasta = viral_ngs.core.file.mkstempfname('.fasta') viral_ngs.assembly.order_and_orient( emptyFasta, os.path.join(inDir, 'ref.influenza.fasta'), outFasta, allow_incomplete_output=True) self.assertEqualContents(outFasta, emptyFasta) @unittest.skipIf(IS_ARM, "gap2seq requires x86-only bioconda package (not available on ARM)") class TestGap2Seq(TestCaseWithTmp): '''Test gap-filling tool Gap2Seq''' def test_gapfill(self): join = os.path.join inDir = viral_ngs.core.file.get_test_input_path() in_scaffold = join(inDir, 'TestOrderAndOrient', 'expected.ebov.doublehit.fasta') with viral_ngs.core.file.tempfname(suffix='.filled.fasta') as filled: viral_ngs.assembly.gapfill_gap2seq(in_scaffold=in_scaffold, in_bam=join(inDir, 'G5012.3.testreads.bam'), out_scaffold=filled, random_seed=23923937, threads=1) shutil.copyfile(filled, '/tmp/filled.fasta') self.assertEqualContents(filled, join(inDir, 'TestGap2Seq', 'expected.ebov.doublehit.gapfill.fasta')) def test_empty_fasta_input(self): inDir = viral_ngs.core.file.get_test_input_path() empty_fasta = os.path.join(inDir, 'empty.fasta') out_fasta = viral_ngs.core.file.mkstempfname('.fasta') viral_ngs.assembly.gapfill_gap2seq(in_scaffold=empty_fasta, in_bam=os.path.join(inDir, 'G5012.3.testreads.bam'), out_scaffold=out_fasta, random_seed=23923937, threads=1) self.assertEqualContents(out_fasta, empty_fasta) class TestImputeFromReference(TestCaseWithTmp): ''' Test the impute_from_reference command (align and modify_contig) ''' @unittest.skip('requires 10 mins and 16GB RAM') def test_varicella_big_muscle(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.hhv3.muscle.fasta') inDirBase = viral_ngs.core.file.get_test_input_path() viral_ngs.assembly.impute_from_reference( os.path.join(inDirBase, 'TestOrderAndOrient', 'expected.hhv3.fasta'), os.path.join(inDirBase, 'TestOrderAndOrient', 'ref.hhv3.fasta'), outFasta, minLengthFraction=0.8, minUnambig=0.6, replaceLength=55, newName='HHV3-test') self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_varicella_big_mummer(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.hhv3.mummer.fasta') inDirBase = viral_ngs.core.file.get_test_input_path() viral_ngs.assembly.impute_from_reference( os.path.join(inDirBase, 'TestOrderAndOrient', 'expected.hhv3.fasta'), os.path.join(inDirBase, 'TestOrderAndOrient', 'ref.hhv3.fasta'), outFasta, minLengthFraction=0.8, minUnambig=0.6, replaceLength=55, aligner='mummer', newName='HHV3-test') self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_small_muscle(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.sub.ebov.impute.fasta') viral_ngs.assembly.impute_from_reference( os.path.join(inDir, 'test.pseudo.fasta'), os.path.join(inDir, 'ref.sub.ebov.fasta'), outFasta, minLengthFraction=0.8, minUnambig=0.2, replaceLength=5, newName='test_sub-EBOV.genome', aligner='muscle') self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_small_mafft(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.sub.ebov.impute.fasta') viral_ngs.assembly.impute_from_reference( os.path.join(inDir, 'test.pseudo.fasta'), os.path.join(inDir, 'ref.sub.ebov.fasta'), outFasta, minLengthFraction=0.8, minUnambig=0.2, replaceLength=5, newName='test_sub-EBOV.genome', aligner='mafft') self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_small_mummer(self): inDir = viral_ngs.core.file.get_test_input_path(self) outFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(inDir, 'expected.sub.ebov.impute.fasta') viral_ngs.assembly.impute_from_reference( os.path.join(inDir, 'test.pseudo.fasta'), os.path.join(inDir, 'ref.sub.ebov.fasta'), outFasta, minLengthFraction=0.8, minUnambig=0.2, replaceLength=5, newName='test_sub-EBOV.genome', aligner='mummer') self.assertEqual( str(Bio.SeqIO.read(outFasta, 'fasta').seq), str(Bio.SeqIO.read(expected, 'fasta').seq)) def test_empty_fasta_input(self): inDir = viral_ngs.core.file.get_test_input_path(self) empty_fasta = os.path.join(inDir, '..', 'empty.fasta') outFasta = viral_ngs.core.file.mkstempfname('.fasta') viral_ngs.assembly.impute_from_reference( empty_fasta, os.path.join(inDir, 'ref.sub.ebov.fasta'), outFasta, minLengthFraction=0.0, minUnambig=0.0, replaceLength=5, newName='test_sub-EBOV.genome', aligner='mummer') self.assertEqualContents(outFasta, empty_fasta) class TestSkaniReferenceSelection(TestCaseWithTmp): ''' Test Skani-based reference selection ''' def test_skani_contigs_to_refs(self): ''' Test the skani_contigs_to_refs function. Test inputs include LASV MAGs/contigs against various EBOV and LASV references. The only references that should hit are the LASV Josiah and KGH_G502 references. Additionally, skani should identify them as being from the same cluster. No EBOV references should be selected. ''' inDir = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestOrderAndOrient') with viral_ngs.core.file.tempfnames(('.skani.dist.out', '.skani.dist.filtered', '.clusters.filtered')) \ as (out_skani_dist, out_skani_dist_filtered, out_clusters_filtered): contigs = os.path.join(inDir, 'contigs.lasv.fasta') refs = [os.path.join(inDir, 'ref.lasv.{}.fasta'.format(strain)) for strain in ('josiah', 'pinneo', 'KGH_G502', 'BNI_Nig08_A19', 'nomatch')] + \ [os.path.join(inDir, 'ref.ebov.{}.fasta'.format(strain)) for strain in ('lbr', 'sle', 'gin')] viral_ngs.assembly.skani_contigs_to_refs(contigs, refs, out_skani_dist, out_skani_dist_filtered, out_clusters_filtered, threads=1) with open(out_clusters_filtered, 'r') as inf: clusters = inf.readlines() self.assertEqual(len(clusters), 1) actual_cluster = set([os.path.basename(f) for f in clusters[0].strip().split('\t')]) expected_cluster = set(['ref.lasv.{}.fasta'.format(strain) for strain in ('josiah', 'pinneo', 'KGH_G502', 'BNI_Nig08_A19')]) self.assertEqual(actual_cluster, expected_cluster) def test_skani_no_big_contigs(self): ''' Test that skani_dist tolerates empty (or practically empty) input query fasta ''' inDir = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestOrderAndOrient') with viral_ngs.core.file.tempfnames(('.skani.dist.out', '.skani.dist.filtered', '.clusters.filtered')) \ as (out_skani_dist, out_skani_dist_filtered, out_clusters_filtered): contigs = os.path.join(inDir, 'contigs.lasv.one_small.fasta') refs = [os.path.join(inDir, 'ref.ebov.{}.fasta'.format(strain)) for strain in ('lbr', 'sle', 'gin')] viral_ngs.assembly.skani_contigs_to_refs(contigs, refs, out_skani_dist, out_skani_dist_filtered, out_clusters_filtered, threads=1) with open(out_clusters_filtered, 'r') as inf: clusters = inf.readlines() self.assertEqual(len(clusters), 0) with open(out_skani_dist, 'r') as inf: lines = inf.readlines() self.assertEqual(len(lines), 1) def test_skani_no_matches(self): ''' Test that skani_dist tolerates empty outputs (no matches) ''' inDir = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestOrderAndOrient') with viral_ngs.core.file.tempfnames(('.skani.dist.out', '.skani.dist.filtered', '.clusters.filtered')) \ as (out_skani_dist, out_skani_dist_filtered, out_clusters_filtered): contigs = os.path.join(inDir, 'contigs.lasv.fasta') refs = [os.path.join(inDir, 'ref.ebov.{}.fasta'.format(strain)) for strain in ('lbr', 'sle', 'gin')] viral_ngs.assembly.skani_contigs_to_refs(contigs, refs, out_skani_dist, out_skani_dist_filtered, out_clusters_filtered, threads=1) with open(out_clusters_filtered, 'r') as inf: clusters = inf.readlines() self.assertEqual(len(clusters), 0) with open(out_skani_dist, 'r') as inf: lines = inf.readlines() self.assertEqual(len(lines), 1) def test_output_sorted_by_product(self): ''' Test that skani.find_closest_reference output tsv is sorted by the product of ANI * Total_bases_covered (and not just the default ANI-based sort order) ''' inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.core.file.tempfnames(('.skani.dist.out', '.skani.dist.filtered', '.clusters.filtered')) \ as (out_skani_dist, out_skani_dist_filtered, out_clusters_filtered): contigs = os.path.join(inDir, 'USA-MA-Broad_BWH-19947-2023.l000013249603_C5.HTKJ7DRX3.1.acellular.dedup.assembly1-spades.fasta') refs = glob.glob(os.path.join(inDir, 'RVA*.fa')) viral_ngs.assembly.skani_contigs_to_refs(contigs, refs, out_skani_dist, out_skani_dist_filtered, out_clusters_filtered, threads=1) with open(out_clusters_filtered, 'r') as inf: clusters = inf.readlines() self.assertEqual(len(clusters), 1) with open(out_skani_dist, 'r') as inf: hits = list(row['Ref_name'].split()[0].split('_')[1] for row in csv.DictReader(inf, delimiter='\t')) self.assertEqual(len(hits), 10) expected = ['FJ445177.1','L24917.1','FJ445116.1','DQ473501.1','DQ473496.1','DQ473507.1','DQ473499.1','FJ445140.1','DQ473498.1','GQ223229.1'] self.assertEqual(hits, expected) def test_sort_skani_table_empty_file(self): """Test _sort_skani_table_by_product handles completely empty input file""" skani = viral_ngs.assemble.skani.SkaniTool() with viral_ngs.core.file.tempfnames(('.empty.tsv', '.out.tsv')) as (in_tsv, out_tsv): # Create empty file (0 bytes) open(in_tsv, 'w').close() # Should not raise exception skani._sort_skani_table_by_product(in_tsv, out_tsv) # Output should exist and have header only (not be empty) self.assertTrue(os.path.exists(out_tsv)) with open(out_tsv) as f: lines = f.readlines() self.assertEqual(len(lines), 1) self.assertTrue(lines[0].startswith('Ref_file')) def test_sort_skani_table_header_only(self): """Test _sort_skani_table_by_product handles header-only input file""" skani = viral_ngs.assemble.skani.SkaniTool() header = 'Ref_file\tQuery_file\tANI\tAlign_fraction_ref\tAlign_fraction_query\t' \ 'Ref_name\tQuery_name\tNum_ref_contigs\tNum_query_contigs\tANI_5_percentile\t' \ 'ANI_95_percentile\tStandard_deviation\tRef_90_ctg_len\tRef_50_ctg_len\t' \ 'Ref_10_ctg_len\tQuery_90_ctg_len\tQuery_50_ctg_len\tQuery_10_ctg_len\t' \ 'Avg_chain_len\tTotal_bases_covered\n' with viral_ngs.core.file.tempfnames(('.header.tsv', '.out.tsv')) as (in_tsv, out_tsv): with open(in_tsv, 'w') as f: f.write(header) skani._sort_skani_table_by_product(in_tsv, out_tsv) # Output should have header only with open(out_tsv) as f: lines = f.readlines() self.assertEqual(len(lines), 1) self.assertTrue(lines[0].startswith('Ref_file')) class TestMutableSequence(unittest.TestCase): ''' Test the MutableSequence class ''' def test_bad_coords(self): self.assertRaises(Exception, viral_ngs.assembly.MutableSequence, 'chr', 0, 4) self.assertRaises(Exception, viral_ngs.assembly.MutableSequence, 'chr', 5, 4) self.assertRaises(Exception, viral_ngs.assembly.MutableSequence, 'chr', -2, 4) self.assertRaises(Exception, viral_ngs.assembly.MutableSequence, 'chr', 5, 6, 'G') def test_good_coords(self): x = viral_ngs.assembly.MutableSequence('chr', 1, 5) x = viral_ngs.assembly.MutableSequence('chr', 5, 5) x = viral_ngs.assembly.MutableSequence('chr', 100, 2000) x = viral_ngs.assembly.MutableSequence('chr name with spaces 5 @#$ --', 1, 5) x = viral_ngs.assembly.MutableSequence('chr', 5, 5, 'A') x = viral_ngs.assembly.MutableSequence('chr', 5, 6, 'AT') def test_modify_one(self): x = viral_ngs.assembly.MutableSequence('chr', 5, 8, 'ATCG') self.assertRaises(Exception, x.modify, 4, 'G') self.assertRaises(Exception, x.modify, 9, 'G') self.assertEqual(x.emit(), ('chr', 'ATCG')) x.modify(5, 'G') self.assertEqual(x.emit(), ('chr', 'GTCG')) x.modify(6, 'G') self.assertEqual(x.emit(), ('chr', 'GGCG')) x.modify(7, 'G') self.assertEqual(x.emit(), ('chr', 'GGGG')) x.modify(8, 'G') self.assertEqual(x.emit(), ('chr', 'GGGG')) x.modify(6, 'j') self.assertEqual(x.emit(), ('chr', 'GjGG')) x.modify(8, 'Y') self.assertEqual(x.emit(), ('chr', 'GjGY')) def test_modify_blank(self): x = viral_ngs.assembly.MutableSequence('chr', 5, 8) self.assertEqual(x.emit(), ('chr', 'NNNN')) x.modify(6, 'G') self.assertEqual(x.emit(), ('chr', 'NGNN')) def test_modify_insertions(self): x = viral_ngs.assembly.MutableSequence('chr', 5, 8, 'ATCG') x.modify(6, 'insert') self.assertEqual(x.emit(), ('chr', 'AinsertCG')) x.modify(8, 'tail') self.assertEqual(x.emit(), ('chr', 'AinsertCtail')) x.modify(5, 'headA') self.assertEqual(x.emit(), ('chr', 'headAinsertCtail')) def test_modify_deletions(self): x = viral_ngs.assembly.MutableSequence('chr', 5, 8, 'ATCG') self.assertRaises(Exception, x.replace, 6, 9, 'AT') x.replace(6, 7, 'CT') self.assertEqual(x.emit(), ('chr', 'ACTG')) x.replace(6, 7, '') self.assertEqual(x.emit(), ('chr', 'AG')) x.modify(7, 'x') self.assertEqual(x.emit(), ('chr', 'AxG')) x.modify(6, 'y') self.assertEqual(x.emit(), ('chr', 'AyxG')) x.replace(7, 7, '123') self.assertEqual(x.emit(), ('chr', 'Ay123G')) x.modify(7, 'z') self.assertEqual(x.emit(), ('chr', 'AyzG')) def test_modify_deletions_simple(self): x = viral_ngs.assembly.MutableSequence('chr', 5, 8, 'ATCG') x.replace(6, 7, 'T') self.assertEqual(x.emit(), ('chr', 'ATG')) def test_modify_deletions_remember(self): x = viral_ngs.assembly.MutableSequence('chr', 5, 8, 'ATCG') x.replace(6, 7, 'T') self.assertEqual(x.emit(), ('chr', 'ATG')) x.modify(7, 'x') self.assertEqual(x.emit(), ('chr', 'ATxG')) x.replay_deletions() self.assertEqual(x.emit(), ('chr', 'ATG')) class TestManualSnpCaller(unittest.TestCase): ''' Test the vcfrow_parse_and_call_snps method.. lots of edge cases. ''' def test_missing_dp(self): ''' VCF files might contain rows with no calls or any kind of data and that's okay. ''' row = ['chr10', '105', '.', 'G', '.', '.', '.', '.', 'GT', './.'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=1)) self.assertEqual(out, []) def test_dp_inaccurate(self): ''' The DP might not equal the sum of the ADs and that's okay apparently. ''' row = ['chr10', '105', '.', 'G', 'A', '.', '.', '.', 'GT:DP:AD', '0/1/1:5:2,2'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=1)) self.assertEqual(set(out[0][4]), set(['G', 'A'])) row = ['chr10', '105', '.', 'G', 'A', '.', '.', '.', 'GT:DP:AD', '0/1/1:2:3,3'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(set(out[0][4]), set(['G', 'A'])) row = ['chr10', '105', '.', 'G', 'A', '.', '.', '.', 'GT:DP:AD', '0/1/1:10:2,0'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(out, []) def test_invariant_sites(self): ''' Invariant site handling is slightly different in code, so test it specially. ''' row = ['LASV.l', '1', '.', 'T', '.', '.', '.', '.', 'GT:DP', '0/0:3'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(out, [('LASV.l', 1, 1, 's1', ['T'])]) row = ['LASV.l', '1', '.', 'T', '.', '.', '.', '.', 'GT', '0/0'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=0)) self.assertEqual(out, [('LASV.l', 1, 1, 's1', ['T'])]) row = ['LASV.l', '1', '.', 'T', '.', '.', '.', '.', 'GT', '0/0'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=1)) self.assertEqual(out, []) row = ['LASV.l', '1', '.', 'T', '.', '.', '.', '.', 'GT', './.'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=1)) self.assertEqual(out, []) row = ['LASV.l', '1', '.', 'T', '.', '.', '.', '.', 'GT:DP', './.:10'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=1)) self.assertEqual(out, [('LASV.l', 1, 1, 's1', ['T'])]) def test_het_edgecases(self): ''' The interplay between min_coverage and major_cutoff is not obvious, here's what I understand from Kristian about the desired behavior. for min_dp=3: 3G, 4A, 5C -> G/A/C 2G, 3A, 3T -> A/T 2A, 2T -> no call 2G, 3C -> C 2A, 3C, 4T -> T for min_dp=2: 2A, 2T -> A/T ''' row = ['thecontig', '105000', '.', 'G', 'A,C,T', '.', '.', '.', 'GT:AD', '0/1:3,4,5,0'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(set(out[0][4]), set(['G', 'A', 'C'])) row = ['thecontig', '105000', '.', 'G', 'A,C,T', '.', '.', '.', 'GT:AD', '0/1:2,3,0,3'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(set(out[0][4]), set(['A', 'T'])) row = ['thecontig', '105000', '.', 'G', 'A,C,T', '.', '.', '.', 'GT:AD', '0/1:0,2,0,2'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(out, []) row = ['thecontig', '105000', '.', 'G', 'A,C,T', '.', '.', '.', 'GT:AD', '0/1:0,2,0,2'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=2)) self.assertEqual(set(out[0][4]), set(['A', 'T'])) row = ['thecontig', '105000', '.', 'G', 'A,C,T', '.', '.', '.', 'GT:AD', '0/1:2,0,3,0'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(out[0][4], ['C']) row = ['thecontig', '105000', '.', 'G', 'A,C,T', '.', '.', '.', 'GT:AD', '0/1:0,2,3,4'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(out[0][4], ['T']) def test_indels(self): ''' Indel handling ''' row = ['thecontig', '105000', '.', 'G', 'GA,T', '.', '.', '.', 'GT:AD', '0/1:5,10,1'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(set(out[0][4]), set(['GA'])) row = ['thecontig', '105000', '.', 'G', 'GA,T', '.', '.', '.', 'GT:AD', '0/1:5,5,2'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(set(out[0][4]), set(['G', 'GA'])) row = ['thecontig', '105000', '.', 'G', 'GA,T', '.', '.', '.', 'GT:AD', '0/1:5,5,3'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'], min_dp=3)) self.assertEqual(set(out[0][4]), set(['G', 'GA', 'T'])) row = ['thecontig', '105000', '.', 'AT', 'A', '.', '.', '.', 'GT:AD', '0/1:2,10'] out = list(viral_ngs.assembly.vcfrow_parse_and_call_snps(row, ['s1'])) self.assertEqual(out, [('thecontig', 105000, 105001, 's1', ['A'])]) def test_vcf_to_seqs_indels1(self): input = ['thecontig', '5', '.', 'AT', 'A', '.', '.', '.', 'GT:AD', '0/1:2,10'] actual = viral_ngs.assembly.vcf_to_seqs([input], {'thecontig': 10}, ['s1'], min_dp=2) actual = list(actual)[0][1].strip('N') self.assertEqual(actual, 'A') actual = viral_ngs.assembly.vcf_to_seqs([input], {'thecontig': 10}, ['s1'], min_dp=2) actual = list(actual)[0][1] self.assertEqual(actual, 'NNNNANNNN') def test_vcf_to_seqs_indels2(self): ''' More end-to-end indel handling ''' myInputDir = viral_ngs.core.file.get_test_input_path(self) input = os.path.join(myInputDir, 'indel.vcf.gz') expected = os.path.join(myInputDir, 'output.fasta') chrlens = {'EBOV_2014_G6060.1': 18962} samples = ['G6060.1'] expected = str(Bio.SeqIO.read(expected, 'fasta').seq) actual = viral_ngs.assembly.vcf_to_seqs(viral_ngs.core.file.read_tabfile(input), chrlens, samples, min_dp=2) actual = list(actual)[0][1].strip('N') self.assertEqual(actual, expected) class TestDeambigAndTrimFasta(TestCaseWithTmp): ''' Test the deambig_fasta and trim_fasta commands. ''' def run_method(self, inseqs, parser_fun): fasta_in = viral_ngs.core.file.mkstempfname() fasta_out = viral_ngs.core.file.mkstempfname() makeFasta([(str(i), inseqs[i]) for i in range(len(inseqs))], fasta_in) args = parser_fun(argparse.ArgumentParser()).parse_args([fasta_in, fasta_out]) args.func_main(args) return (fasta_in, fasta_out) def test_trim_fasta(self): ''' Simple test of the trim_fasta command ''' inseqs = ['NNnnNNnNaslkdfjasdkfNNNN', 'NNNnnN', 'NNN123', 'ATCG'] expected = ['aslkdfjasdkf', '', '123', 'ATCG'] expected = dict((str(i), expected[i]) for i in range(len(expected))) fasta_in, fasta_out = self.run_method(inseqs, viral_ngs.assembly.parser_trim_fasta) with open(fasta_out, 'rt') as fa: for record in Bio.SeqIO.parse(fa, 'fasta'): self.assertIn(record.id, expected) self.assertEqual(str(record.seq), expected[record.id]) def test_deambig_fasta(self): ''' Simple test of the deambig_fasta command ''' table = [(k, v) for k, v in Bio.Data.IUPACData.ambiguous_dna_values.items() if k != 'X'] keys = [k for k, v in table] vals = [set(v) for k, v in table] keys = keys + [k.lower() for k in keys] vals = vals + vals inseq = ''.join(keys) fasta_in, fasta_out = self.run_method([inseq], viral_ngs.assembly.parser_deambig_fasta) with open(fasta_out, 'rt') as fa: for rec in Bio.SeqIO.parse(fa, 'fasta'): self.assertEqual(rec.id, '0') outseq = str(rec.seq) for i in range(len(outseq)): self.assertIn(outseq[i], vals[i]) class TestContigChooser(unittest.TestCase): ''' Test the contig_chooser heuristic used by our MUMmer-based custom scaffolder. ''' def test_no_seqs(self): for test_len in (7,2,228,52): actual = viral_ngs.assemble.mummer.contig_chooser([], test_len) self.assertEqual(actual, ['N' * test_len]) def test_one_seq(self): for test_seq in ('A', '', 'GACTGATG', 'non-biological :characters!'): actual = viral_ngs.assemble.mummer.contig_chooser([test_seq], 90) self.assertEqual(actual, [test_seq]) def test_most_popular_seq(self): alt_seqs = ['AA', 'aa', 'GGA', 'T', 'GGA'] expected_choice = 'GGA' expected_alts = set(('AA', 'aa', 'T')) actual = viral_ngs.assemble.mummer.contig_chooser(alt_seqs, 2) self.assertEqual(actual[0], expected_choice) self.assertEqual(set(actual[1:]), expected_alts) def test_most_popular_seq_len(self): alt_seqs = ['AA', 'GGA', 'aa', 'GGA', 'T', 'GGC', 'aa'] actual = viral_ngs.assemble.mummer.contig_chooser(alt_seqs, 2) self.assertEqual(actual[0], 'aa') self.assertEqual(set(actual[1:]), set(('AA', 'GGA', 'T', 'GGC'))) actual = viral_ngs.assemble.mummer.contig_chooser(alt_seqs, 3) self.assertEqual(actual[0], 'GGA') self.assertEqual(set(actual[1:]), set(('AA', 'aa', 'T', 'GGC'))) alt_seqs = ['AA', 'GGA', 'aa', 'GGA', 'T', 'GGC'] actual = viral_ngs.assemble.mummer.contig_chooser(alt_seqs, 20) self.assertEqual(actual[0], 'GGA') self.assertEqual(set(actual[1:]), set(('AA', 'aa', 'T', 'GGC'))) actual = viral_ngs.assemble.mummer.contig_chooser(alt_seqs, 1) self.assertEqual(actual[0], 'GGA') self.assertEqual(set(actual[1:]), set(('AA', 'aa', 'T', 'GGC'))) def test_same_as_ref_len(self): alt_seqs = ['AA', 'GGA', 'aa', 'GGA', 'T', 'GGC', 'aa'] actual = viral_ngs.assemble.mummer.contig_chooser(alt_seqs, 1) self.assertEqual(actual[0], 'T') class TestWgsimTool(TestCaseWithTmp): ''' Test wgsim tool wrapper helper methods ''' def test_slice_fasta_whole_sequence(self): ''' Test slicing a fasta to a specific sequence ID without coordinate range ''' wgsim = viral_ngs.assemble.wgsim.WgsimTool() # Create test fasta with multiple sequences in_fasta = viral_ngs.core.file.mkstempfname('.fasta') seqs = [('seq1', 'ACGTACGTACGT'), ('seq2', 'GGGGCCCCAAAA'), ('seq3', 'TTTTTTTTTTTT')] makeFasta(seqs, in_fasta) # Slice to seq2 out_fasta = viral_ngs.core.file.mkstempfname('.sliced.fasta') wgsim.slice_fasta(in_fasta, out_fasta, seq_id='seq2') # Verify only seq2 is in output records = list(Bio.SeqIO.parse(out_fasta, 'fasta')) self.assertEqual(len(records), 1) self.assertEqual(records[0].id, 'seq2') self.assertEqual(str(records[0].seq), 'GGGGCCCCAAAA') def test_slice_fasta_with_coordinates(self): ''' Test slicing a fasta to a specific coordinate range ''' wgsim = viral_ngs.assemble.wgsim.WgsimTool() # Create test fasta in_fasta = viral_ngs.core.file.mkstempfname('.fasta') seqs = [('seq1', 'ACGTACGTACGTACGT')] makeFasta(seqs, in_fasta) # Slice to positions 5-10 (1-based inclusive) out_fasta = viral_ngs.core.file.mkstempfname('.sliced.fasta') wgsim.slice_fasta(in_fasta, out_fasta, seq_id='seq1', start=5, end=10) # Verify sliced sequence records = list(Bio.SeqIO.parse(out_fasta, 'fasta')) self.assertEqual(len(records), 1) self.assertEqual(str(records[0].seq), 'ACGTAC') def test_slice_fasta_no_params(self): ''' Test that slice_fasta with no optional params is a no-op ''' wgsim = viral_ngs.assemble.wgsim.WgsimTool() # Create test fasta in_fasta = viral_ngs.core.file.mkstempfname('.fasta') seqs = [('seq1', 'ACGTACGT'), ('seq2', 'GGGGCCCC')] makeFasta(seqs, in_fasta) # Slice with no params out_fasta = viral_ngs.core.file.mkstempfname('.sliced.fasta') wgsim.slice_fasta(in_fasta, out_fasta) # Verify all sequences are in output (no-op) records = list(Bio.SeqIO.parse(out_fasta, 'fasta')) self.assertEqual(len(records), 2) self.assertEqual(str(records[0].seq), 'ACGTACGT') self.assertEqual(str(records[1].seq), 'GGGGCCCC') def test_coverage_to_read_pairs(self): ''' Test coverage to read pairs calculation ''' wgsim = viral_ngs.assemble.wgsim.WgsimTool() # Test case 1: 20X coverage, 1000bp sequence, 150bp reads # Expected: (20 * 1000) / (2 * 150) = 66.67 -> 67 pairs pairs = wgsim.coverage_to_read_pairs(20, 1000, 150) self.assertEqual(pairs, 67) # Test case 2: 10X coverage, 5000bp sequence, 100bp reads # Expected: (10 * 5000) / (2 * 100) = 250 pairs pairs = wgsim.coverage_to_read_pairs(10, 5000, 100) self.assertEqual(pairs, 250) # Test case 3: Fractional coverage (0.5X) # Expected: (0.5 * 1000) / (2 * 150) = 1.67 -> 2 pairs pairs = wgsim.coverage_to_read_pairs(0.5, 1000, 150) self.assertEqual(pairs, 2) # Test case 4: High coverage # Expected: (100 * 3000) / (2 * 150) = 1000 pairs pairs = wgsim.coverage_to_read_pairs(100, 3000, 150) self.assertEqual(pairs, 1000) class TestSimulateIlluminaReads(TestCaseWithTmp): ''' Test simulate_illumina_reads command for generating synthetic reads ''' def setUp(self): super(TestSimulateIlluminaReads, self).setUp() self.in_fasta = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ref.lasv.fasta') # Calculate expected sequence lengths self.seq_lengths = {} for record in Bio.SeqIO.parse(self.in_fasta, 'fasta'): self.seq_lengths[record.id] = len(record.seq) def count_bam_reads(self, bam_file): ''' Count the number of reads in a BAM file ''' samtools = viral_ngs.core.samtools.SamtoolsTool() read_count = int(subprocess.check_output( [samtools.install_and_get_path(), 'view', '-c', bam_file] ).decode('UTF-8').strip()) return read_count def expected_read_count(self, coverage, seq_length, read_length=150): ''' Calculate expected number of individual reads (not pairs) ''' # Each read pair contributes 2 reads pairs = viral_ngs.assemble.wgsim.WgsimTool().coverage_to_read_pairs( coverage, seq_length, read_length ) return pairs * 2 def test_simulate_uniform_coverage(self): ''' Test simulating reads with uniform coverage across all sequences ''' out_bam = viral_ngs.core.file.mkstempfname('.bam') coverage = 20.0 read_length = 150 # Run simulate_illumina_reads with uniform coverage args = [self.in_fasta, out_bam, str(coverage), '--read_length', str(read_length), '--random_seed', '12345'] args = viral_ngs.assembly.parser_simulate_illumina_reads(argparse.ArgumentParser()).parse_args(args) args.func_main(args) # Verify BAM was created self.assertTrue(os.path.isfile(out_bam)) self.assertGreater(os.path.getsize(out_bam), 0) # Count reads in output actual_reads = self.count_bam_reads(out_bam) # Calculate expected reads (sum across all sequences) expected_reads = sum( self.expected_read_count(coverage, seq_len, read_length) for seq_len in self.seq_lengths.values() ) # Verify within 10% tolerance tolerance = 0.10 self.assertGreater(actual_reads, expected_reads * (1 - tolerance)) self.assertLess(actual_reads, expected_reads * (1 + tolerance)) def test_simulate_per_sequence_coverage(self): ''' Test simulating reads with per-sequence coverage specification ''' out_bam = viral_ngs.core.file.mkstempfname('.bam') read_length = 150 # Get sequence IDs seq_ids = list(self.seq_lengths.keys()) # Specify different coverage for each sequence coverage_spec = f"{seq_ids[0]}:20x {seq_ids[1]}:5x" # Run simulate_illumina_reads with per-sequence coverage args = [self.in_fasta, out_bam, coverage_spec, '--read_length', str(read_length), '--random_seed', '12345'] args = viral_ngs.assembly.parser_simulate_illumina_reads(argparse.ArgumentParser()).parse_args(args) args.func_main(args) # Verify BAM was created self.assertTrue(os.path.isfile(out_bam)) self.assertGreater(os.path.getsize(out_bam), 0) # Count reads in output actual_reads = self.count_bam_reads(out_bam) # Calculate expected reads expected_reads = ( self.expected_read_count(20, self.seq_lengths[seq_ids[0]], read_length) + self.expected_read_count(5, self.seq_lengths[seq_ids[1]], read_length) ) # Verify within 10% tolerance tolerance = 0.10 self.assertGreater(actual_reads, expected_reads * (1 - tolerance)) self.assertLess(actual_reads, expected_reads * (1 + tolerance)) def test_simulate_bed_coverage(self): ''' Test simulating reads with BED file coverage specification ''' out_bam = viral_ngs.core.file.mkstempfname('.bam') bed_file = viral_ngs.core.file.mkstempfname('.bed') read_length = 150 # Get sequence IDs seq_ids = list(self.seq_lengths.keys()) # Create BED file with different coverage for different regions with open(bed_file, 'w') as f: # First sequence: 10x coverage for positions 1-2000 f.write(f"{seq_ids[0]}\t0\t2000\t.\t10\n") # Second sequence: 25x coverage for positions 1-3000 f.write(f"{seq_ids[1]}\t0\t3000\t.\t25\n") # Run simulate_illumina_reads with BED file args = [self.in_fasta, out_bam, bed_file, '--read_length', str(read_length), '--random_seed', '12345'] args = viral_ngs.assembly.parser_simulate_illumina_reads(argparse.ArgumentParser()).parse_args(args) args.func_main(args) # Verify BAM was created self.assertTrue(os.path.isfile(out_bam)) self.assertGreater(os.path.getsize(out_bam), 0) # Count reads in output actual_reads = self.count_bam_reads(out_bam) # Calculate expected reads expected_reads = ( self.expected_read_count(10, 2000, read_length) + self.expected_read_count(25, 3000, read_length) ) # Verify within 10% tolerance tolerance = 0.10 self.assertGreater(actual_reads, expected_reads * (1 - tolerance)) self.assertLess(actual_reads, expected_reads * (1 + tolerance)) def _find_script(script_name): """Find script in Docker path or git clone path.""" # Docker-installed location docker_path = f'/opt/viral-ngs/scripts/{script_name}' if os.path.exists(docker_path): return docker_path # Git clone location (relative to this test file) git_path = os.path.join(os.path.dirname(__file__), '..', '..', '..', 'docker', 'scripts', script_name) if os.path.exists(git_path): return git_path raise FileNotFoundError(f"Script {script_name} not found in Docker or git paths") class TestFastaTrimTerminalAmbigs(TestCaseWithTmp): ''' Test fasta-trim-terminal-ambigs.pl script functionality ''' def test_script_runs_successfully(self): ''' Test that fasta-trim-terminal-ambigs.pl can run without errors ''' # Create a test FASTA with terminal ambiguous bases in_fasta = viral_ngs.core.file.mkstempfname('.fasta') out_fasta = viral_ngs.core.file.mkstempfname('.trimmed.fasta') # Create sequences with terminal Ns and ambiguous bases test_seqs = [ ('seq1', 'NNNNNATCGATCGATCGNNNN'), ('seq2', 'WWWWATCGATCGATCGYYYYY'), ('seq3', 'RRRRATCGATCGATCGSSS'), ] makeFasta(test_seqs, in_fasta) # Run fasta-trim-terminal-ambigs.pl script_path = _find_script('fasta-trim-terminal-ambigs.pl') cmd = [script_path, in_fasta] result = subprocess.run(cmd, capture_output=True, text=True, cwd=os.getcwd()) # Check that script runs successfully self.assertEqual(result.returncode, 0, f"Script failed with stderr: {result.stderr}\nstdout: {result.stdout}") # Verify output contains trimmed sequences self.assertIn('ATCGATCGATCG', result.stdout) def test_script_with_3rules_option(self): ''' Test fasta-trim-terminal-ambigs.pl with --3rules option ''' # Use the ebov-makona.fasta from test inputs in_fasta = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebov-makona.fasta') # Run with --3rules and standard parameters script_path = _find_script('fasta-trim-terminal-ambigs.pl') cmd = [ script_path, '--3rules', '--ten', '4', '--fifty', '15', '--maxfrac', '0.9', in_fasta ] result = subprocess.run(cmd, capture_output=True, text=True, cwd=os.getcwd()) # Check that script runs successfully self.assertEqual(result.returncode, 0, f"Script failed with stderr: {result.stderr}\nstdout: {result.stdout}") # Verify output was produced self.assertGreater(len(result.stdout), 0, "No output produced") self.assertIn('>', result.stdout, "No FASTA header in output") ================================================ FILE: tests/unit/assemble/test_assembly_integration.py ================================================ # Integration tests for viral_ngs.assembly.py __author__ = "dpark@broadinstitute.org" import os import shutil import tempfile import itertools import unittest import pytest import Bio.SeqIO import viral_ngs.assembly import viral_ngs.core.cmd import viral_ngs.core.file import viral_ngs.core.minimap2 import viral_ngs.core.picard import viral_ngs.core.samtools from tests import TestCaseWithTmp, _CPUS def _align_with_minimap2(refFasta, inBam): """Align reads to reference with minimap2, return indexed BAM path.""" mm2 = viral_ngs.core.minimap2.Minimap2() samtools = viral_ngs.core.samtools.SamtoolsTool() outBam = viral_ngs.core.file.mkstempfname('.aligned.bam') mm2.align_bam(inBam, refFasta, outBam, options=['-x', 'sr']) samtools.index(outBam) return outBam class TestRefineAssembly(TestCaseWithTmp): def test_ebov_refine1(self): inDir = viral_ngs.core.file.get_test_input_path(self) inFasta = os.path.join(inDir, 'impute.ebov.fasta') imputeFasta = viral_ngs.core.file.mkstempfname('.imputed.fasta') refine1Fasta = viral_ngs.core.file.mkstempfname('.refine1.fasta') shutil.copy(inFasta, imputeFasta) viral_ngs.core.picard.CreateSequenceDictionaryTool().execute(imputeFasta, overwrite=True) viral_ngs.core.samtools.SamtoolsTool().faidx(imputeFasta, overwrite=True) inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.mini.bam') alignedBam = _align_with_minimap2(imputeFasta, inBam) viral_ngs.assembly.refine_assembly( imputeFasta, inBam, refine1Fasta, already_realigned_bam=alignedBam, min_coverage=2) actual = str(Bio.SeqIO.read(refine1Fasta, 'fasta').seq) expected = str(Bio.SeqIO.read(os.path.join(inDir, 'expected.ebov.refine1.freebayes.fasta'), 'fasta').seq) self.assertEqual(actual, expected) def test_ebov_refine2(self): inDir = viral_ngs.core.file.get_test_input_path(self) inFasta = os.path.join(inDir, 'expected.ebov.refine1.fasta') refine1Fasta = viral_ngs.core.file.mkstempfname('.refine1.fasta') refine2Fasta = viral_ngs.core.file.mkstempfname('.refine2.fasta') shutil.copy(inFasta, refine1Fasta) viral_ngs.core.picard.CreateSequenceDictionaryTool().execute(refine1Fasta, overwrite=True) viral_ngs.core.samtools.SamtoolsTool().faidx(refine1Fasta, overwrite=True) inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.mini.bam') alignedBam = _align_with_minimap2(refine1Fasta, inBam) viral_ngs.assembly.refine_assembly( refine1Fasta, inBam, refine2Fasta, already_realigned_bam=alignedBam, min_coverage=3) actual = str(Bio.SeqIO.read(refine2Fasta, 'fasta').seq) expected = str(Bio.SeqIO.read(os.path.join(inDir, 'expected.ebov.refine2.freebayes.fasta'), 'fasta').seq) self.assertEqual(actual, expected) class TestOrderOrientAndImputeFromReference(TestCaseWithTmp): # common setup def setUp(self): super(TestOrderOrientAndImputeFromReference, self).setUp() self.inDir = viral_ngs.core.file.get_test_input_path(self) self.refFasta = os.path.join(self.inDir, 'ref.influenza_partial.fasta') self.outOrientFasta = viral_ngs.core.file.mkstempfname('.fasta') viral_ngs.assembly.order_and_orient( os.path.join(self.inDir, 'contigs.influenza.fasta'), self.refFasta, self.outOrientFasta) # common teardown def tearDown(self): os.unlink(self.outOrientFasta) super(TestOrderOrientAndImputeFromReference, self).tearDown() def test_impute_from_oriented_muscle(self): self.influenza_impute("muscle") def test_impute_from_oriented_mafft(self): self.influenza_impute("mafft") def test_impute_from_oriented_mummer(self): self.influenza_impute("mummer") # common impute function using the specified aligner def influenza_impute(self, aligner): outImputeFasta = viral_ngs.core.file.mkstempfname('.fasta') expected = os.path.join(self.inDir, 'expected.influenza.impute.'+aligner+'.fasta') # ensure we can run impute_from_reference from the output of order_and_orient # without errors, but don't actually check the output viral_ngs.assembly.impute_from_reference( self.outOrientFasta, self.refFasta, outImputeFasta, minLengthFraction=0.8, minUnambig=0.2, replaceLength=5, newName='test_influenza.genome', aligner=aligner) # if we were interested in checking the output... # self.assertEqualContents( # outImputeFasta, # expected # ) ================================================ FILE: tests/unit/assemble/test_util_vcf.py ================================================ # Unit tests for util/vcf.py __author__ = "dpark@broadinstitute.org" import viral_ngs.assemble.vcf import viral_ngs.core.file import unittest ''' TODO make_intervals sliding_windows calc_maf TabixReader - edge cases in a simple file VcfReader - proper one-based genomic coordinates VcfReader - haploid cases, diploid cases VcfReader.getFullSequences and replaceAlleles - this needs a whole battery of tests, since it does so much and is subject to so many edge cases and weird scenarios and keeps breaking each time we refactor. ''' class StubGenome: ''' This is a mock genome that should satisfy very simple functions in assemble.vcf like get_chrlens, GenomePosition, make_intervals, sliding_windows, etc. It simply contains a list of chromosome names and lengths. ''' def __init__(self, chromlist): self.chrs = [c for c, clen in chromlist] self.chrlen = dict(chromlist) self.totlen = sum(clen for c, clen in chromlist) def chrlens(self): return [(c, self.chrlen[c]) for c in self.chrs] class TestGenomePosition(unittest.TestCase): ''' Test the GenomePosition class which maps chr,pos pairs to a single gpos int and vice versa ''' def test_fail_OOB_get_gpos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) invalids = [('SDF', 0), ('SDF', 124), ('ASDF', -1), ('lala', 48), ('lala', 200), ('sdf', 80), ('la', 2), (None, 3)] gmap = viral_ngs.assemble.vcf.GenomePosition(genome) for c, p in invalids: self.assertRaises(Exception, gmap.get_gpos, c, p) def test_fail_OOB_get_chr_pos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) invalids = [0, -1, genome.totlen + 1, genome.totlen * 2] gmap = viral_ngs.assemble.vcf.GenomePosition(genome) for gpos in invalids: self.assertRaises(Exception, gmap.get_chr_pos, gpos) def test_fail_non_int_pos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) invalids = [('SDF', 5.3), ('lala', '10'), ('ASDF', None)] gmap = viral_ngs.assemble.vcf.GenomePosition(genome) for c, p in invalids: self.assertRaises(Exception, gmap.get_gpos, c, p) self.assertRaises(Exception, gmap.get_chr_pos, p) def test_spotcheck_edges(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) knowns = [('SDF', 1, 1), ('SDF', 123, 123), ('ASDF', 1, 124), ('ASDF', 256, 379), ('lala', 1, 380), ('lala', 47, 426)] gmap = viral_ngs.assemble.vcf.GenomePosition(genome) for c, p, gpos in knowns: self.assertEqual(gpos, gmap.get_gpos(c, p)) self.assertEqual((c, p), gmap.get_chr_pos(gpos)) def test_equality_1chrGenome(self): genome = StubGenome([('one chr', 10)]) c = genome.chrs[0] gmap = viral_ngs.assemble.vcf.GenomePosition(genome) for i in range(1, genome.totlen + 1): self.assertEqual(i, gmap.get_gpos(c, i)) # c,p -> gpos should produce p=gpos self.assertEqual((c, i), gmap.get_chr_pos(i)) # gpos -> c,p should produce p=gpos def test_equality_3chrGenome(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.assemble.vcf.GenomePosition(genome) # test gpos -> c,p -> same gpos for gpos in range(1, genome.totlen + 1): c, p = gmap.get_chr_pos(gpos) gpos2 = gmap.get_gpos(c, p) self.assertEqual(gpos, gpos2) # test c,p -> gpos -> same c,p for c, clen in genome.chrlen.items(): for p in range(1, clen + 1): gpos = gmap.get_gpos(c, p) c2, p2 = gmap.get_chr_pos(gpos) self.assertEqual(c, c2) self.assertEqual(p, p2) def test_gpos_inbounds(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.assemble.vcf.GenomePosition(genome) for c, clen in genome.chrlen.items(): for p in range(1, clen + 1): gpos = gmap.get_gpos(c, p) self.assertIsNotNone(gpos) self.assertIsInstance(gpos, int) self.assertLessEqual(1, gpos) self.assertLessEqual(gpos, genome.totlen) def test_chr_pos_inbounds(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.assemble.vcf.GenomePosition(genome) for gpos in range(1, genome.totlen + 1): c, p = gmap.get_chr_pos(gpos) self.assertIsNotNone(c) self.assertIn(c, genome.chrlen) self.assertIsNotNone(p) self.assertIsInstance(p, int) self.assertLessEqual(1, p) self.assertLessEqual(p, genome.chrlen[c]) def test_unique_gpos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.assemble.vcf.GenomePosition(genome) seen = set() for c, clen in genome.chrlen.items(): for p in range(1, clen + 1): gpos = gmap.get_gpos(c, p) self.assertNotIn(gpos, seen) seen.add(gpos) self.assertEqual(len(seen), genome.totlen) def test_unique_chr_pos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.assemble.vcf.GenomePosition(genome) seen = set() for gpos in range(1, genome.totlen + 1): c, p = gmap.get_chr_pos(gpos) self.assertNotIn((c, p), seen) seen.add((c, p)) self.assertEqual(len(seen), genome.totlen) class TestVcfContigHeaderParsing(unittest.TestCase): '''Test that parse_contig_header handles various VCF contig header formats''' def test_simple_contig_header(self): c, clen = viral_ngs.assemble.vcf.parse_contig_header('##contig=') self.assertEqual(c, 'seg1') self.assertEqual(clen, 2334) def test_contig_header_with_assembly(self): c, clen = viral_ngs.assemble.vcf.parse_contig_header('##contig=') self.assertEqual(c, 'seg1') self.assertEqual(clen, 2334) def test_contig_header_with_multiple_extra_attrs(self): c, clen = viral_ngs.assemble.vcf.parse_contig_header('##contig=') self.assertEqual(c, 'chr1') self.assertEqual(clen, 100000) def test_multiple_contigs_mixed_formats(self): headers = [ '##contig=', '##contig=', '##contig=', ] result = dict(viral_ngs.assemble.vcf.parse_contig_header(h) for h in headers) self.assertEqual(result, {'seg1': 2334, 'seg2': 5000, 'seg3': 800}) def test_contig_header_without_length_raises(self): with self.assertRaises(ValueError): viral_ngs.assemble.vcf.parse_contig_header('##contig=') def test_invalid_header_raises(self): with self.assertRaises(ValueError): viral_ngs.assemble.vcf.parse_contig_header('##INFO=') class TestVcfReaderPositions(unittest.TestCase): ''' Test the OBO errors in the pysam-based VCFReader class (it's prone to such errors) ''' def setUp(self): self.vcf_fname = viral_ngs.core.file.get_test_path() + '/input/one_gene.vcf.gz' self.vcf_window = ('Pf3D7_13_v3', 1724817, 1726997) try: self.basestring = basestring except NameError: self.basestring = str def test_sample_names(self): expected = ['3D7', 'SenT001.08', 'SenT001.11', 'SenT002.07', 'SenT002.09'] vcfdb = viral_ngs.assemble.vcf.VcfReader(self.vcf_fname) self.assertEqual(expected, vcfdb.samples()) for s in vcfdb.samples(): self.assertIsInstance(s, self.basestring) def test_get_one_base(self): vcfdb = viral_ngs.assemble.vcf.VcfReader(self.vcf_fname) genos = vcfdb.get_snp_genos(self.vcf_window[0], 1726432) alleles = [genos[s] for s in vcfdb.samples()] expected = ['T', 'T', 'T', 'G', 'T'] self.assertEqual(expected, alleles) for a in alleles: self.assertIsInstance(a, self.basestring) def test_get_positions_edges(self): vcfdb = viral_ngs.assemble.vcf.VcfReader(self.vcf_fname) out = list(vcfdb.get_positions(self.vcf_window[0])) self.assertEqual(out[0][1], self.vcf_window[1]) self.assertEqual(out[-1][2], self.vcf_window[2]) def test_get_range_edges(self): vcfdb = viral_ngs.assemble.vcf.VcfReader(self.vcf_fname) out = [p for c, p, alleles, genos in vcfdb.get_range(self.vcf_window[0])] self.assertEqual(out[0], self.vcf_window[1]) self.assertEqual(out[-1], self.vcf_window[2]) ================================================ FILE: tests/unit/classify/__init__.py ================================================ ================================================ FILE: tests/unit/classify/fixtures.py ================================================ import gzip import os from os.path import join import shutil from viral_ngs.classify import krona as krona_module from viral_ngs.core import file # @pytest.fixture(scope='module') def krona(): krona_tool = krona_module.Krona() krona_tool.install() return krona_tool # @pytest.fixture(scope='module', params=['TestMetagenomicsSimple', 'TestMetagenomicsViralMix']) def db_type(request): return request.param # @pytest.fixture(scope='module') def krona_db(request, tmpdir_module, krona, db_type): data_dir = join(file.get_test_input_path(), db_type) db_dir = join(data_dir, 'db') db = join(tmpdir_module, 'krona_db_{}'.format(db_type)) os.mkdir(db) for d in ('names.dmp', 'nodes.dmp'): src = join(db_dir, 'taxonomy', d) dest = join(db, d) if os.path.isfile(src): os.symlink(src, dest) krona.create_db(db) return db def taxonomy_db(request, tmpdir_module, db_type): taxonomy = join(tmpdir_module, db_type, 'taxonomy') shutil.copytree(join(file.get_test_input_path(), db_type, 'db', 'taxonomy'), taxonomy) prot = join(taxonomy, 'accession2taxid', 'prot.accession2taxid') prot_gz = prot + '.gz' with open(prot, 'rb') as f_in: with gzip.open(prot_gz, 'wb') as f_out: shutil.copyfileobj(f_in, f_out) return taxonomy ================================================ FILE: tests/unit/classify/test_integration_kb.py ================================================ # Integration tests for kb-python import argparse import os import platform from pathlib import Path import anndata import pytest from viral_ngs import metagenomics from viral_ngs.core import file as util_file from viral_ngs.core import picard # Skip all tests on ARM platforms - kallisto/kb-python are x86-only (no ARM64 builds) IS_ARM = platform.machine() in ('arm64', 'aarch64') pytestmark = pytest.mark.skipif(IS_ARM, reason="kallisto/kb-python require x86-only bioconda packages (not available on ARM)") @pytest.fixture(scope='module') def kb_inputs(): base = os.path.join(util_file.get_test_input_path(), 'TestKbPython') fastq = os.path.join(base, 'SRR12340077.2.sample.fastq.gz') index = os.path.join(base, 'palmdb.corona.idx') t2g = os.path.join(base, 'palmdb_clustered_t2g.txt') ref_fasta = os.path.join(base, 'palmdb_rdrp_seqs.corona.fa') for path in (fastq, index, t2g, ref_fasta): if not os.path.exists(path): pytest.skip(f"Required kb test input missing: {path}") return {'fastq': fastq, 'index': index, 't2g': t2g, 'ref_fasta': ref_fasta} @pytest.fixture(scope='module') def kb_bam(tmp_path_factory, kb_inputs): workdir = tmp_path_factory.mktemp('kb_input_bam') bam_path = Path(workdir) / 'input.bam' try: picard = picard.FastqToSamTool() picard.execute(kb_inputs['fastq'], None, 'kb_sample', str(bam_path)) except Exception as exc: pytest.skip(f"Unable to create BAM for kb tests: {exc}") return str(bam_path) @pytest.fixture(scope='module') def kb_count_result(tmp_path_factory, kb_inputs, kb_bam): workdir = tmp_path_factory.mktemp('kb_count') out_dir = Path(workdir) / 'counts' out_dir.mkdir() argv = [ '--index', kb_inputs['index'], '--t2g', kb_inputs['t2g'], '--kmer_len', '31', '--technology', 'bulk', '--h5ad', '--out_dir', str(out_dir), '--threads', '4', kb_bam, ] _run_metagenomics(metagenomics.parser_kb, argv, cwd=str(workdir)) h5ad_dir = out_dir / 'counts_unfiltered' h5ad_files = list(h5ad_dir.glob('*.h5ad')) assert h5ad_files, f"No h5ad produced under {h5ad_dir}" return { 'workdir': Path(workdir), 'out_dir': out_dir, 'h5ad': h5ad_files[0], } @pytest.fixture(scope='module') def kb_extract_result(tmp_path_factory, kb_inputs, kb_bam): workdir = tmp_path_factory.mktemp('kb_extract') out_dir = Path(workdir) / 'extract' out_dir.mkdir() argv = [ '--index', kb_inputs['index'], '--t2g', kb_inputs['t2g'], '--out_dir', str(out_dir), '--targets', 'u100031', '--protein', '--threads', '4', kb_bam ] _run_metagenomics(metagenomics.parser_kb_extract, argv, cwd=str(workdir)) extracted = out_dir / 'u100031' / '1.fastq.gz' assert extracted.exists(), f"Expected extracted reads at {extracted}" count = util_file.count_fastq_reads(str(extracted)) return {'workdir': Path(workdir), 'reads': extracted, 'count': count} @pytest.fixture(scope='module') def kb_ref_result(tmp_path_factory, kb_inputs): workdir = tmp_path_factory.mktemp('kb_ref') out_dir = Path(workdir) / 'ref' out_dir.mkdir() idx_path = out_dir / 'index.idx' fasta_path = Path(kb_inputs['ref_fasta']) argv = [ '--index', str(idx_path), '--workflow', 'custom', '--kmer_len', '31', '--protein', '--threads', '2', str(fasta_path), ] _run_metagenomics(metagenomics.parser_kb_build, argv, cwd=str(workdir)) assert idx_path.exists(), f"Index not created at {idx_path}" return {'workdir': Path(workdir), 'index': idx_path} def _run_metagenomics(parser_fn, argv, cwd=None): parser = parser_fn(argparse.ArgumentParser()) args = parser.parse_args(argv) prev_cwd = os.getcwd() try: if cwd: os.chdir(cwd) args.func_main(args) finally: if cwd: os.chdir(prev_cwd) def test_kb_help_reports_usage(): parser = metagenomics.parser_kb(argparse.ArgumentParser()) help_str = parser.format_help() assert '--index' in help_str assert '--t2g' in help_str assert 'kb_out' in help_str def test_kb_count_produces_h5ad(kb_count_result): adata = anndata.read_h5ad(str(kb_count_result['h5ad'])) assert adata.shape[0] > 0 assert float(adata.X.sum()) >= 0 def test_kb_extract_yields_expected_reads(kb_extract_result): assert kb_extract_result['count'] == 3 def test_kb_ref_builds_index(kb_ref_result): assert kb_ref_result['index'].stat().st_size > 0 ================================================ FILE: tests/unit/classify/test_integration_kraken2.py ================================================ # Integration tests for kraken2 import argparse import binascii import os import os.path from os.path import join #import lxml.html.clean import pytest from viral_ngs import metagenomics import shutil import unittest from viral_ngs.core import file as util_file from viral_ngs import core as tools from viral_ngs.classify import kraken2 from viral_ngs.classify import krona from viral_ngs.core import picard import tests.unit.classify.fixtures def is_gz_file(filepath): with open(filepath, 'rb') as test_f: return binascii.hexlify(test_f.read(2)) == b'1f8b' krona = pytest.fixture(scope='module')(tests.unit.classify.fixtures.krona) krona_db = pytest.fixture(scope='module')(tests.unit.classify.fixtures.krona_db) @pytest.fixture() def input_bam(db_type): data_dir = join(util_file.get_test_input_path(), db_type) return join(data_dir, 'test-reads.bam') @pytest.fixture(scope='module') def kraken2_tool(): tool = kraken2.Kraken2() tool.install() return tool @pytest.fixture(scope='module', params=['TestMetagenomicsSimple', 'TestMetagenomicsViralMix']) def db_type(request): return request.param @pytest.fixture(scope='module') def kraken2_db(request, tmpdir_module, kraken2_tool, db_type): data_dir = join(util_file.get_test_input_path(), db_type) db_dir = join(data_dir, 'db') db = join(tmpdir_module, 'kraken2_db_{}'.format(db_type)) parser = metagenomics.parser_kraken2_build(argparse.ArgumentParser()) cmd = [db, '--tax_db', join(db_dir, 'taxonomy')] util_file.mkdir_p(db) shutil.copytree(os.path.join(db_dir, 'library'), os.path.join(db, 'library')) parser.parse_args(cmd) args = parser.parse_args(cmd) args.func_main(args) return db def test_kraken2(kraken2_db, input_bam): out_report = util_file.mkstempfname('.report') out_reads = util_file.mkstempfname('.reads') cmd = [kraken2_db, input_bam, '--outReports', out_report, '--outReads', out_reads] parser = metagenomics.parser_kraken2(argparse.ArgumentParser()) args = parser.parse_args(cmd) args.func_main(args) with util_file.open_or_gzopen(out_reads, 'r') as inf: assert len(inf.read()) > 0 with util_file.open_or_gzopen(out_report) as inf: report_lines = [x.strip().split('\t') for x in inf.readlines()] report_lines = [x for x in report_lines if x] #assert is_gz_file(out_reads) assert os.path.getsize(out_report) > 0 if 'TestMetagenomicsSimple' in kraken2_db: zaire_found = False tai_found = False for line in report_lines: if 'Zaire ebolavirus' in line[-1] and float(line[0]) > 90: zaire_found = True elif 'Tai Forest' in line[-1]: tai_found = True assert zaire_found assert not tai_found def test_kraken2_krona(kraken2_db, krona_db, input_bam): out_report = util_file.mkstempfname('.report') out_reads = util_file.mkstempfname('.reads.gz') cmd = [kraken2_db, input_bam, '--outReport', out_report, '--outReads', out_reads] parser = metagenomics.parser_kraken2(argparse.ArgumentParser()) args = parser.parse_args(cmd) args.func_main(args) out_html = util_file.mkstempfname('.krona.html') parser = metagenomics.parser_krona(argparse.ArgumentParser()) args = parser.parse_args(['--inputType', 'kraken2', out_report, krona_db, out_html]) args.func_main(args) ''' well... this doesn't actually find Zaire ebolavirus! if 'TestMetagenomicsSimple' in kraken2_db: ebola_found = False cleaner = lxml.html.clean.Cleaner(remove_unknown_tags=False, page_structure=False) tree = cleaner.clean_html(lxml.html.parse(out_html)) root_node = tree.xpath('//krona/node')[0] for n in root_node.iterdescendants(): if n.get('name') == 'Zaire ebolavirus': if int(n.xpath('magnitude/val')[0].text) > 0: ebola_found = True assert ebola_found ''' def test_kraken2_on_empty(kraken2_db, input_bam): if 'TestMetagenomicsViralMix' not in kraken2_db: return input_bam = join(util_file.get_test_input_path(), 'empty.bam') out_report = util_file.mkstempfname('.report') out_reads = util_file.mkstempfname('.reads') cmd = [kraken2_db, input_bam, '--outReport', out_report, '--outReads', out_reads] parser = metagenomics.parser_kraken2(argparse.ArgumentParser()) args = parser.parse_args(cmd) args.func_main(args) with util_file.open_or_gzopen(out_reads, 'r') as inf: assert len(inf.read()) == 0 #assert is_gz_file(out_reads) with open(out_report, 'rt') as inf: lines = [line.strip() for line in inf.readlines() if not line.startswith('#') and not line.startswith('%')] out_report_contents = [line for line in lines if line] assert len(out_report_contents) == 0 #assert out_report_contents[0].split('\t') == ['100.00', '0', '0', '0', '0', 'NA', '0', 'no rank', 'unclassified'] ================================================ FILE: tests/unit/classify/test_integration_taxon_filter.py ================================================ # Integration tests for taxon_filter.py __author__ = "dpark@broadinstitute.org" import unittest import os import tempfile import subprocess import shutil import argparse from viral_ngs import taxon_filter from viral_ngs.core import file as util_file from viral_ngs.classify import last from viral_ngs.classify import bmtagger from viral_ngs.classify import blast from tests import assert_equal_bam_reads, TestCaseWithTmp, IS_ARM @unittest.skipIf(IS_ARM, "bmtagger requires x86-only bioconda package (not available on ARM)") class TestDepleteHuman(TestCaseWithTmp): ''' This class should move to test/integration. How test data was created: exported 5kb region of chr6 created pan-viral fasta file from all NCBI viral accessions used wgsim to create simulated reads ''' def setUp(self): TestCaseWithTmp.setUp(self) self.tempDir = tempfile.mkdtemp() myInputDir = util_file.get_test_input_path() ref_fasta = os.path.join(myInputDir, '5kb_human_from_chr6.fasta') self.database_prefix_path = os.path.join(self.tempDir, "5kb_human_from_chr6") # create blast db self.blastdb_path = blast.MakeblastdbTool().build_database(ref_fasta, self.database_prefix_path) # create bmtagger db taxon_filter.bmtagger_build_db(ref_fasta, self.tempDir, "5kb_human_from_chr6", word_size=8) def test_deplete_human(self): myInputDir = util_file.get_test_input_path(self) # Run deplete_human args = taxon_filter.parser_deplete(argparse.ArgumentParser()).parse_args( [ os.path.join(myInputDir, 'test-reads.bam'), # output files os.path.join(self.tempDir, 'test-reads.revert.bam'), os.path.join(self.tempDir, 'test-reads.minimap.bam'), os.path.join(self.tempDir, 'test-reads.bwa.bam'), os.path.join(self.tempDir, 'test-reads.bmtagger.bam'), os.path.join(self.tempDir, 'test-reads.blastn.bam'), # DBs "--blastDbs", self.blastdb_path, "--bmtaggerDbs", self.database_prefix_path, "--chunkSize", "0", "--srprismMemory", '1500', ] ) args.func_main(args) # Compare to expected for fname in [ 'test-reads.revert.bam', 'test-reads.bwa.bam', 'test-reads.bmtagger.bam', 'test-reads.blastn.bam' ]: assert_equal_bam_reads(self, os.path.join(self.tempDir, fname), os.path.join(myInputDir, 'expected', fname)) def test_deplete_human_aligned_input(self): myInputDir = util_file.get_test_input_path(self) # Run deplete_human args = taxon_filter.parser_deplete(argparse.ArgumentParser()).parse_args( [ os.path.join(myInputDir, 'test-reads-aligned.bam'), # output files os.path.join(self.tempDir, 'test-reads.revert.bam'), os.path.join(self.tempDir, 'test-reads.minimap.bam'), os.path.join(self.tempDir, 'test-reads.bwa.bam'), os.path.join(self.tempDir, 'test-reads.bmtagger.bam'), os.path.join(self.tempDir, 'test-reads.blastn.bam'), # DBs "--blastDbs", self.blastdb_path, "--bmtaggerDbs", self.database_prefix_path, "--srprismMemory", '1500', ] ) args.func_main(args) # Compare to expected for fname in [ 'test-reads.revert.bam', 'test-reads.bwa.bam', 'test-reads.bmtagger.bam', 'test-reads.blastn.bam' ]: assert_equal_bam_reads(self, os.path.join(self.tempDir, fname), os.path.join(myInputDir, 'aligned-expected', fname)) def test_deplete_empty(self): empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') # Run deplete_human args = taxon_filter.parser_deplete(argparse.ArgumentParser()).parse_args( [ empty_bam, # output files os.path.join(self.tempDir, 'deplete-empty.revert.bam'), os.path.join(self.tempDir, 'deplete-empty.minimap.bam'), os.path.join(self.tempDir, 'deplete-empty.bwa.bam'), os.path.join(self.tempDir, 'deplete-empty.bmtagger.bam'), os.path.join(self.tempDir, 'deplete-empty.blastn.bam'), # DBs "--blastDbs", self.blastdb_path, "--bmtaggerDbs", self.database_prefix_path, "--srprismMemory", '1500', ] ) args.func_main(args) # Compare to expected for fname in [ 'deplete-empty.bmtagger.bam', 'deplete-empty.blastn.bam', ]: assert_equal_bam_reads(self, os.path.join(self.tempDir, fname), empty_bam) ================================================ FILE: tests/unit/classify/test_kmer_utils.py ================================================ """Unit tests for kmer_utils.py""" __author__ = "ilya@broadinstitute.org" import os import sys import collections import argparse import logging import itertools import unittest import Bio.SeqIO from Bio.Seq import Seq from Bio.SeqRecord import SeqRecord import pytest from viral_ngs import kmer_utils from viral_ngs import read_utils from viral_ngs.core import cmd as util_cmd from viral_ngs.core import file as util_file from viral_ngs.core import misc as util_misc from viral_ngs.classify import kmc from viral_ngs.core import samtools _log = logging.getLogger(__name__) # pylint: disable=invalid-name class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in kmer_utils.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() ################################# # Some general utils used below # ################################# def _seq_as_str(s): # pylint: disable=invalid-name """Return a sequence as a str, regardless of whether it was a str, a Seq or a SeqRecord""" if isinstance(s, Seq): return str(s) if isinstance(s, SeqRecord): return str(s.seq) return s def _yield_seq_recs(seq_file): """Yield sequence records from the file, regardless of file format.""" with util_file.tmp_dir(suffix='_seqs_as_strs') as t_dir: if seq_file.endswith('.bam'): t_fa = os.path.join(t_dir, 'bam2fa.fasta') samtools.SamtoolsTool().bam2fa(seq_file, t_fa, append_mate_num=True) seq_file = t_fa with util_file.open_or_gzopen(seq_file, 'rt') as seq_f: for rec in Bio.SeqIO.parse(seq_f, util_file.uncompressed_file_type(seq_file)[1:]): yield rec def _list_seq_recs(seq_file): """Return a list of sequence records from the file, regardless of file format.""" return list(_yield_seq_recs(seq_file)) def _yield_seqs_as_strs(seqs): """Yield sequence(s) from `seqs` as strs. seqs can be a str/SeqRecord/Seq, a filename of a sequence file, or an iterable of these. If a filename of a sequence file, all sequences from that file are yielded.""" for seq in util_misc.make_seq(seqs, (str, SeqRecord, Seq)): seq = _seq_as_str(seq) if not any(seq.endswith(ext) for ext in '.fasta .fasta.gz .fastq .fastq.gz .bam'): yield seq else: for rec in _yield_seq_recs(seq): yield str(rec.seq) def _list_seqs_as_strs(seqs): """Return a list of sequence(s) from `seqs` as strs. seqs can be a str/SeqRecord/Seq, a filename of a sequence file, or an iterable of these. If a filename of a sequence file, all sequences from that file are yielded.""" return list(_yield_seqs_as_strs(seqs)) def _getargs(args, valid_args): """Extract valid args from an argparse.Namespace or a dict. Returns a dict containing keys from `args` that are in `valid_args`; `valid_args` is a space-separated list of valid args.""" return util_misc.subdict(vars(args) if isinstance(args, argparse.Namespace) else args, valid_args.split()) def _strip_mate_num(rec_id): """Name of a read, with any /1 or /2 at the end removed""" return rec_id[:-2] if rec_id.endswith('/1') or rec_id.endswith('/2') else rec_id ################################################################################################################# class KmcPy(object): """Reimplementation of some kmc functions in simple Python code. To help generate the expected correct output, we reimplement in simple Python code some of KMC's functionality. This is also to make up for KMC's lack of a public test suite ( https://github.com/refresh-bio/KMC/issues/55 ). """ def _revcomp(self, kmer): """Return the reverse complement of a kmer, given as a string""" assert isinstance(kmer, str) return str(SeqRecord(Seq(kmer), annotations={"molecule_type": "DNA"}).seq.reverse_complement()) def _canonicalize(self, kmer): """Return the canonical version of a kmer""" return min(kmer, self._revcomp(kmer)) def _compute_kmers_iter(self, seq_strs, kmer_size, single_strand, **ignore): """Yield kmers of seq(s). Unless `single_strand` is True, each kmer is canonicalized before being returned. Note that deduplication is not done, so each occurrence of each kmer is yielded. Kmers containing non-TCGA bases are skipped. """ for seq in seq_strs: n_kmers = len(seq)-kmer_size+1 # mark kmers containing invalid base(s) valid_kmer = [True] * n_kmers for i in range(len(seq)): # pylint: disable=consider-using-enumerate if seq[i].upper() not in 'TCGA': invalid_lo = max(0, i-kmer_size+1) invalid_hi = min(n_kmers, i+1) valid_kmer[invalid_lo:invalid_hi] = [False]*(invalid_hi-invalid_lo) for i in range(n_kmers): if valid_kmer[i]: kmer = seq[i:i+kmer_size] yield kmer if single_strand else self._canonicalize(kmer) def _compute_kmers(self, *args, **kw): """Return list of kmers of seq(s). Unless `single_strand` is True, each kmer is canonicalized before being returned. Note that deduplication is not done, so each occurrence of each kmer is yielded. Kmers containing non-TCGA bases are skipped. """ return list(self._compute_kmers_iter(*args, **kw)) def compute_kmer_counts(self, seq_files, kmer_size, min_occs, max_occs, counter_cap, single_strand, **ignore): """Yield kmer counts of seq(s). Unless `single_strand` is True, each kmer is canonicalized before being counted. Kmers containing non-TCGA bases are skipped. Kmers with fewer than `min_occs` or more than `max_occs` occurrences are dropped, and kmer counts capped at `counter_cap`, if these args are given. """ counts = collections.Counter(self._compute_kmers(_list_seqs_as_strs(seq_files), kmer_size, single_strand)) return self._filter_kmer_counts(counts=counts, min_occs=min_occs, max_occs=max_occs, counter_cap=counter_cap) def _filter_kmer_counts(self, counts, min_occs=None, max_occs=None, counter_cap=None): """From a dict of kmer counts, drop kmers with counts below `min_occs` or above `max_occs`, and cap counter values at `counter_cap`.""" return collections.Counter({kmer : min(count, counter_cap or count) \ for kmer, count in counts.items() \ if (count >= (min_occs or count)) and \ (count <= (max_occs or count))}) def filter_reads(self, db_kmer_counts, in_reads, kmer_size, single_strand, db_min_occs, db_max_occs, read_min_occs, read_max_occs, read_min_occs_frac, read_max_occs_frac, **ignore): """Fiter sequences based on their kmer contents; returns the ids of the passing seqs. Inputs: in_reads: sequences to filter, as a fasta/fastq/bam Params: db_kmer_counts: a collections.Counter mapping kmers to their counts in the kmer database kmer_size: kmer size single_strand: if False, kmers are canonicalized db_min_occs: drop from db_kmer_counts kmers with counts below this db_max_occs: drop from db_kmer_counts kmers with counts above this read_min_occs: drop reads with fewer than this many occurrences of kmers from the database read_max_occs: drop reads with more than this many occurrences of kmers from the database read_min_occs_frac: only keep reads with at least this many occurrences of kmers from database, interpreted as a fraction of read length in kmers read_max_occs_frac: only keep reads with no more than this many occurrence of kmers from the database. interpreted as a fraction of read length in kmers. """ db_kmers = self._filter_kmer_counts(counts=db_kmer_counts, min_occs=db_min_occs, max_occs=db_max_occs).keys() seqs_ids_out = set() rel_thresholds = (read_min_occs_frac, read_max_occs_frac) != (0., 1.) in_recs = _list_seq_recs(in_reads) seq_occs_hist = collections.Counter() mate_cnt = collections.Counter() for rec in in_recs: seq = str(rec.seq) seq_kmer_counts = self.compute_kmer_counts(seq, kmer_size=kmer_size, single_strand=single_strand, min_occs=1, max_occs=util_misc.MAX_INT32, counter_cap=util_misc.MAX_INT32) assert not single_strand seq_occs = sum([seq_count for kmer, seq_count in seq_kmer_counts.items() \ if kmer in db_kmers]) seq_occs_hist[seq_occs] += 1 if rel_thresholds: n_seq_kmers = len(seq)-kmer_size+1 read_min_occs_seq, read_max_occs_seq = (int(read_min_occs_frac * n_seq_kmers), int(read_max_occs_frac * n_seq_kmers)) else: read_min_occs_seq, read_max_occs_seq = (read_min_occs, read_max_occs) if read_min_occs_seq <= seq_occs <= read_max_occs_seq: seqs_ids_out.add(rec.id) mate_cnt[rec.id[-2:] if rec.id[-2:] in ('/1', '/2') else '/0'] += 1 _log.debug('kmer occs histogram: %s', sorted(seq_occs_hist.items())) _log.debug('filter_reads: %d of %d passed; mate_cnt=%s', len(seqs_ids_out), len(in_recs), mate_cnt) return seqs_ids_out def binary_op(self, op, kmer_counts_1, kmer_counts_2, result_counter_cap=255): assert isinstance(kmer_counts_1, collections.Counter) assert isinstance(kmer_counts_2, collections.Counter) if op == 'intersect': result = kmer_counts_1 & kmer_counts_2 elif op == 'union': result = collections.Counter({k: (kmer_counts_1[k] + kmer_counts_2[k]) for k in (set(kmer_counts_1.keys()) | set(kmer_counts_2.keys()))}) elif op == 'kmers_subtract': result = collections.Counter(util_misc.subdict(kmer_counts_1, set(kmer_counts_1.keys()) - set(kmer_counts_2.keys()))) elif op == 'counters_subtract': result = kmer_counts_1 - kmer_counts_2 else: raise ValueError('Unknown operation: {}'.format(op)) return self._filter_kmer_counts(counts=result, counter_cap=result_counter_cap) # end: class KmcPy kmcpy = KmcPy() def _inp(fname): """Return full path to a test input file for this module""" return os.path.join(util_file.get_test_input_path(), 'TestKmers', fname) def _stringify(arg): """Return a string based on `arg`, suitable for use as a pytest test id""" return util_file.string_to_file_name(str(arg)) def _do_build_kmer_db(t_dir, val_cache, seq_files, kmer_db_opts): """Build a database of kmers from given sequence file(s) using given options. Args: t_dir: dir where to build the kmer dbase val_cache: a dict where results can be cached seq_files: a string of sequence file name(s), space-separated kmer_db_opts: options to build_kmer_db command, as one string Returns: an argparse.Namespace() with the following attrs: kmer_db: path to the kmer db created from seq_files kmc_kmer_counts: map from kmer to count, as computed by kmc kmc_db_args: the result of parsing kmer_db_opts """ key = (seq_files, kmer_db_opts) if key in val_cache: _log.debug('reusing cached kmer db: %s', key) return val_cache[key] _log.debug('constructing kmer db: %s', key) k_db = os.path.join(t_dir, 'bld_kmer_db_{}'.format(hash(key))) assert not kmc.KmcTool().is_kmer_db(k_db) seq_files = list(map(_inp, seq_files.split())) kmer_db_args = util_cmd.run_cmd(module=kmer_utils, cmd='build_kmer_db', args=seq_files + [k_db] + kmer_db_opts.split() + ['--memLimitGb', 4]).args_parsed assert kmc.KmcTool().is_kmer_db(k_db) kmc_kmer_counts=kmc.KmcTool().get_kmer_counts(k_db, threads=kmer_db_args.threads) _log.debug('KMER_DB_FIXTURE: param=%s counts=%d db=%s', key, len(kmc_kmer_counts), k_db) return val_cache.setdefault(key, argparse.Namespace(kmer_db=k_db, kmc_kmer_counts=kmc_kmer_counts, kmer_db_args=kmer_db_args)) KMER_DBS_EMPTY = [('empty.fasta', '')] KMER_DBS_SMALL = [ ('ebola.fasta.gz', '-k 7'), ('almost-empty-2.bam', '-k 23 --singleStrand'), ('almost-empty-2.bam', '-k 5 --minOccs 1 --maxOccs 5 --counterCap 3'), ('tcgaattt.fasta', '-k 7'), ('ambig_bases.fasta', '-k 7'), ('palindromic_kmers.fasta', '-k 7') ] KMER_DBS_MEDIUM = [ ('test-reads.bam test-reads-human.bam', '-k 17'), ] @pytest.fixture(scope='module') def dict_module(): return dict() @pytest.fixture(scope='module', params=KMER_DBS_EMPTY+KMER_DBS_SMALL, ids=_stringify) def kmer_db_fixture(request, tmpdir_module, dict_module): yield _do_build_kmer_db(tmpdir_module, dict_module, *request.param) @pytest.fixture(scope='module', params=KMER_DBS_EMPTY+KMER_DBS_SMALL, ids=_stringify) def kmer_db_fixture2(request, tmpdir_module, dict_module): yield _do_build_kmer_db(tmpdir_module, dict_module, *request.param) @pytest.mark.parametrize("kmer_db_fixture", KMER_DBS_EMPTY+KMER_DBS_SMALL+KMER_DBS_MEDIUM, ids=_stringify, indirect=["kmer_db_fixture"]) def test_build_kmer_db(kmer_db_fixture): _test_build_kmer_db(kmer_db_fixture) def _test_build_kmer_db(kmer_db_fixture): assert kmc.KmcTool().is_kmer_db(kmer_db_fixture.kmer_db) kmer_db_info = kmc.KmcTool().get_kmer_db_info(kmer_db_fixture.kmer_db) assert kmer_db_info.kmer_size == kmer_db_fixture.kmer_db_args.kmer_size assert kmer_db_info.min_occs == kmer_db_fixture.kmer_db_args.min_occs assert kmer_db_info.max_occs == kmer_db_fixture.kmer_db_args.max_occs kmcpy_kmer_counts = kmcpy.compute_kmer_counts(**vars(kmer_db_fixture.kmer_db_args)) assert kmer_db_info.total_kmers == len(kmcpy_kmer_counts) assert kmer_db_fixture.kmc_kmer_counts == kmcpy_kmer_counts ########### SEQ_FILES = [ # 'empty.fasta', # 'ebola.fasta.gz', # 'almost-empty-2.bam', # 'test-reads.bam', # 'test-reads-human.bam', # 'tcgaattt.fasta', 'G5012.3.fasta', 'G5012.3.mini.bam', ] KMER_SIZES = [1, 2, 7, 17, 27, 31, 55, 63] #KMER_SIZES = [1, 17, 31, 55] STRAND_OPTS = ['', '--singleStrand'] KMER_OCCS_OPTS = [ '', '--minOccs 1', '--minOccs 10', '--maxOccs 10' ] NTHREADS = [1, 2, 12] COMBO_OPTS = [(seq_file, '-k{} {} {} --threads {}'.format(kmer_size, strand_opt, kmer_occs_opt, nthreads)) for seq_file, kmer_size, strand_opt, kmer_occs_opt, nthreads \ in itertools.product(SEQ_FILES, KMER_SIZES, STRAND_OPTS, KMER_OCCS_OPTS, NTHREADS)] @pytest.mark.slow @pytest.mark.parametrize("kmer_db_fixture", COMBO_OPTS, ids=_stringify, indirect=["kmer_db_fixture"]) def test_build_kmer_db_combo(kmer_db_fixture): _test_build_kmer_db(kmer_db_fixture) ############################################################################################## def _test_filter_reads(kmer_db_fixture, reads_file, filter_opts, tmpdir_function): """Test read filtering. Args: kmer_size: kmer size single_strand: whether to canonicalize kmers kmers_fasta: kmers for filtering will be extracted from here reads_bam: reads to filter with kmers extracted from kmers_fasta """ assert kmc.KmcTool().is_kmer_db(kmer_db_fixture.kmer_db) reads_file = _inp(reads_file) reads_file_out = os.path.join(tmpdir_function, 'reads_out' + util_file.uncompressed_file_type(reads_file)) filter_args = util_cmd.run_cmd(module=kmer_utils, cmd='filter_reads', args=[kmer_db_fixture.kmer_db, reads_file, reads_file_out] + filter_opts.split()).args_parsed _log.debug('Running filte: kmer_db_args=%s filter_arg=%s', kmer_db_fixture.kmer_db_args, filter_args) filtered_ids_expected = kmcpy.filter_reads(db_kmer_counts=kmer_db_fixture.kmc_kmer_counts, kmer_size=kmer_db_fixture.kmer_db_args.kmer_size, single_strand=kmer_db_fixture.kmer_db_args.single_strand, **vars(filter_args)) reads_file_out_ids_txt = reads_file_out+'.ids.txt' read_utils.read_names(reads_file_out, reads_file_out_ids_txt) reads_out_ids = util_file.slurp_file(reads_file_out_ids_txt).strip().split() _log.debug('FILT %d %d %s %s %s', len(_list_seq_recs(reads_file)), len(_list_seq_recs(reads_file_out)), kmer_db_fixture.kmer_db, reads_file, filter_opts) def normed_read_ids(ids): return set(map(_strip_mate_num, ids)) assert normed_read_ids(reads_out_ids) == normed_read_ids(filtered_ids_expected) # end: def _test_filter_reads(kmer_db_fixture, reads_file, filter_opts, tmpdir_function) @pytest.mark.parametrize("kmer_db_fixture", [('empty.fasta', '')], ids=_stringify, indirect=["kmer_db_fixture"]) @pytest.mark.parametrize("reads_file", ['empty.fasta', 'tcgaattt.fasta', 'G5012.3.subset.bam']) @pytest.mark.parametrize("filter_opts", ['', '--readMinOccs 1', '--readMaxOccs 2']) def test_filter_with_empty_db(kmer_db_fixture, reads_file, filter_opts, tmpdir_function): _test_filter_reads(**locals()) @pytest.mark.parametrize("kmer_db_fixture", [('ebola.fasta.gz', '-k 7')], ids=_stringify, indirect=["kmer_db_fixture"]) @pytest.mark.parametrize("reads_file", [pytest.param('G5012.3.testreads.bam', marks=pytest.mark.slow), 'G5012.3.subset.bam']) @pytest.mark.parametrize("filter_opts", ['--dbMinOccs 7 --readMinOccs 93', '--dbMinOccs 4 --readMinOccsFrac .6', '--readMinOccsFrac .4 --readMaxOccsFrac .55']) def test_filter_reads(kmer_db_fixture, reads_file, filter_opts, tmpdir_function): _test_filter_reads(**locals()) @pytest.mark.parametrize("kmer_db_fixture", KMER_DBS_EMPTY+KMER_DBS_SMALL[:1], ids=_stringify, indirect=["kmer_db_fixture"]) @pytest.mark.parametrize("set_to_val", [1, util_misc.MAX_INT32]) def test_kmer_set_counts(kmer_db_fixture, tmpdir_function, set_to_val): db_with_set_counts = os.path.join(tmpdir_function, 'set_counts_db') util_cmd.run_cmd(module=kmer_utils, cmd='kmers_set_counts', args=[kmer_db_fixture.kmer_db, set_to_val, db_with_set_counts]) new_counts = kmc.KmcTool().get_kmer_counts(db_with_set_counts) assert set(new_counts.keys()) == set(kmer_db_fixture.kmc_kmer_counts.keys()) assert not new_counts or set(new_counts.values()) == set([set_to_val]) @pytest.mark.parametrize("op", ('intersect', 'union', 'kmers_subtract', 'counters_subtract')) def test_kmers_binary_op(kmer_db_fixture, kmer_db_fixture2, op, tmpdir_function): if kmer_db_fixture.kmer_db_args.kmer_size != kmer_db_fixture2.kmer_db_args.kmer_size: pytest.skip('(always skip) binary ops not defined on kmers of different size') db_result = os.path.join(tmpdir_function, 'op_result') _log.debug('fixture1args=%s', kmer_db_fixture.kmer_db_args) _log.debug('fixture2args=%s', kmer_db_fixture2.kmer_db_args) _log.debug('op=%s', op) args = util_cmd.run_cmd(module=kmer_utils, cmd='kmers_binary_op', args=[op, kmer_db_fixture.kmer_db, kmer_db_fixture2.kmer_db, db_result]).args_parsed kmc_counts = kmc.KmcTool().get_kmer_counts(db_result) kmcpy_counts = kmcpy.binary_op(op, kmer_db_fixture.kmc_kmer_counts, kmer_db_fixture2.kmc_kmer_counts, result_counter_cap=args.result_counter_cap) assert kmc_counts == kmcpy_counts ================================================ FILE: tests/unit/classify/test_metagenomics.py ================================================ # Unit tests for metagenomics.py from builtins import super import six import argparse from collections import Counter import copy import os.path from os.path import join import tempfile import textwrap import unittest import pytest from unittest import mock from unittest.mock import patch from viral_ngs.core import picard from viral_ngs import metagenomics from viral_ngs.core import file as util_file from viral_ngs.core import misc as util_misc from tests import TestCaseWithTmp, assert_equal_bam_reads, _CPUS if six.PY2: from StringIO import StringIO else: from io import StringIO class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in metagenomics.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() class TestKronaCalls(TestCaseWithTmp): def setUp(self): super().setUp() patcher = patch('viral_ngs.metagenomics.krona.Krona', autospec=True) self.addCleanup(patcher.stop) self.mock_krona = patcher.start() self.inTsv = util_file.mkstempfname('.tsv') self.db = tempfile.mkdtemp('db') def test_krona_import_taxonomy(self): out_html = util_file.mkstempfname('.html') metagenomics.main_krona([self.inTsv], self.db, out_html, queryColumn=3, taxidColumn=5, scoreColumn=7, noHits=True, noRank=True, inputType='tsv') self.mock_krona().import_taxonomy.assert_called_once_with( self.db, [self.inTsv + ',' + os.path.basename(self.inTsv)], out_html, query_column=3, taxid_column=5, score_column=7, no_hits=True, no_rank=True, magnitude_column=None) @pytest.fixture def taxa_db_simple(): db = metagenomics.TaxonomyDb() db.gis = {1:2, 2:3, 3:4, 4:5} db.parents = {1: 1, 2: 1, 3: 2, 4: 3, 5: 4} return db @pytest.fixture def taxa_db(parents, names, ranks): db = metagenomics.TaxonomyDb() db.parents = parents db.names = names db.ranks = ranks return db @pytest.fixture def parents(): return { 1: 1, 3: 1, 6: 3, 7: 6, 8: 7, 10: 6, 11: 7, 12: 8, 13: 12 } @pytest.fixture def names(): names = { 1: "root", 2: "two", 3: "three", 4: "four", 6: "six", 7: "seven", 8: "eight", 10: "ten", 11: "eleven", 12: "twelve", 13: "thirteen" } return names @pytest.fixture def ranks(): return { 1: "root", 2: "", 3: "superkingdom", 4: "kingdom", 6: "", 7: "", 8: "", 10: "", 11: "genus", 12: "species", 13: "" } @pytest.fixture def simple_m8(): test_path = join(util_file.get_test_input_path(), 'TestTaxonomy') return open(join(test_path, 'simple.m8')) def test_tree_level_lookup(parents): level_cache = {1: 1} assert metagenomics.tree_level_lookup(parents, 1, level_cache) == 1 assert metagenomics.tree_level_lookup(parents, 3, level_cache) == 2 assert metagenomics.tree_level_lookup(parents, 12, level_cache) == 6 level_cache = {1: 1} assert metagenomics.tree_level_lookup(parents, 12, level_cache) == 6 assert metagenomics.tree_level_lookup(parents, 8, level_cache) == 5 def test_push_up_tree_hits(parents): hits = Counter({1: 3, 3: 5, 6: 3, 7: 3, 13: 5}) with pytest.raises(AssertionError): metagenomics.push_up_tree_hits(parents, hits) expected = hits.copy() assert metagenomics.push_up_tree_hits(parents, hits.copy(), min_support=1) == expected expected = Counter({3: 5, 6: 6, 13: 5}) assert metagenomics.push_up_tree_hits(parents, hits.copy(), min_support=5) == expected assert (metagenomics.push_up_tree_hits(parents, hits.copy(), min_support=10) == Counter({6: 11})) assert (metagenomics.push_up_tree_hits(parents, hits.copy(), min_support=18) == Counter({1: 19})) assert (metagenomics.push_up_tree_hits(parents, hits.copy(), min_support_percent=100) == Counter({1: 19})) def test_parents_to_children(parents): children = metagenomics.parents_to_children(parents) assert children[1] == [3] def test_rank_code(): assert metagenomics.rank_code('species') == 'S' assert metagenomics.rank_code('genus') == 'G' assert metagenomics.rank_code('superkingdom') == 'D' assert metagenomics.rank_code('nonexist') == '-' def test_blast_records(simple_m8): test_path = join(util_file.get_test_input_path(), 'TestTaxonomy') with simple_m8 as f: records = list(metagenomics.blast_records(f)) assert len(records) == 110 assert records[0].bit_score == 63.5 assert records[-1].bit_score == 67.4 def test_blast_lca(taxa_db_simple, simple_m8): test_path = join(util_file.get_test_input_path(), 'TestTaxonomy') expected = textwrap.dedent("""\ C\tM04004:13:000000000-AGV3H:1:1101:12068:2105\t2 C\tM04004:13:000000000-AGV3H:1:1101:13451:2146\t2 C\tM04004:13:000000000-AGV3H:1:1101:13509:2113\t2 C\tM04004:13:000000000-AGV3H:1:1101:14644:2160\t2 C\tM04004:13:000000000-AGV3H:1:1101:18179:2130\t2 C\tM04004:13:000000000-AGV3H:1:1111:10629:2610\t2 C\tM04004:13:000000000-AGV3H:1:1111:10629:26101\t2 """) out = StringIO() with simple_m8 as f: taxa_db_simple.blast_lca(f, out, paired=True) out.seek(0) assert out.read() == expected def test_paired_query_id(): tup = ['query', 'gi|10|else', 90., 80, 60, 2, 30, 80, 1100, 1150, 1e-7, 64.5, []] blast1 = metagenomics.BlastRecord(*tup) assert metagenomics.paired_query_id(blast1) == blast1 new_tup = copy.copy(tup) new_tup[0] = 'query/1' new_blast1 = metagenomics.BlastRecord(*new_tup) assert metagenomics.paired_query_id(new_blast1) == blast1 new_tup = copy.copy(tup) new_tup[0] = 'query/2' new_blast1 = metagenomics.BlastRecord(*new_tup) assert metagenomics.paired_query_id(new_blast1) == blast1 new_tup = copy.copy(tup) new_tup[0] = 'query/3' new_blast1 = metagenomics.BlastRecord(*new_tup) assert metagenomics.paired_query_id(new_blast1) == new_blast1 def test_translate_gi_to_tax_id(taxa_db_simple): tup = ['query', 'gi|4|else', 90., 80, 60, 2, 30, 80, 1100, 1150, 1e-7, 64.5, []] blast1 = metagenomics.BlastRecord(*tup) tup[1] = 5 expected = metagenomics.BlastRecord(*tup) assert taxa_db_simple.translate_gi_to_tax_id(blast1) == expected def test_ancestor_lookup(taxa_db_simple): assert taxa_db_simple.get_ordered_ancestors(4) == [3, 2, 1] def test_kraken_dfs_report(taxa_db): hits = Counter({1: 101, 3: 103, 10: 105, 12: 107}) expected = textwrap.dedent('''\ 100.00\t416\t101\t-\t1\troot 75.72\t315\t103\tD\t3\t three 50.96\t212\t0\t-\t6\t six 25.24\t105\t105\t-\t10\t ten 25.72\t107\t0\t-\t7\t seven 25.72\t107\t0\t-\t8\t eight 25.72\t107\t107\tS\t12\t twelve ''') report = taxa_db.kraken_dfs_report(hits) text_report = '\n'.join(list(report)) + '\n' assert text_report == expected def test_coverage_lca(taxa_db): assert metagenomics.coverage_lca([10, 11, 12], taxa_db.parents) == 6 assert metagenomics.coverage_lca([1, 3], taxa_db.parents) == 1 assert metagenomics.coverage_lca([6, 7, 8], taxa_db.parents) == 6 assert metagenomics.coverage_lca([10, 11, 12], taxa_db.parents, 50) == 7 assert metagenomics.coverage_lca([9], taxa_db.parents) is None @pytest.mark.skip(reason="KrakenUniq disabled from future versions for now, pending conda rebuild of @yesimon's custom fork") def test_krakenuniq(): with patch('viral_ngs.metagenomics.kraken.KrakenUniq.pipeline') as p: args = [ 'db', 'input.bam', '--outReports', 'output.report', '--outReads', 'output.reads', ] args = metagenomics.parser_krakenuniq(argparse.ArgumentParser()).parse_args(args) args.func_main(args) p.assert_called_with('db', ['input.bam'], num_threads=mock.ANY, filter_threshold=mock.ANY, out_reports=['output.report'], out_reads=['output.reads']) class TestBamFilter(TestCaseWithTmp): def test_bam_filter_simple(self): temp_dir = tempfile.gettempdir() input_dir = util_file.get_test_input_path(self) taxonomy_dir = os.path.join(util_file.get_test_input_path(),"TestMetagenomicsSimple","db","taxonomy") filtered_bam = util_file.mkstempfname('.bam') args = [ os.path.join(input_dir,"input.bam"), os.path.join(input_dir,"input.kraken-reads.tsv.gz"), filtered_bam, os.path.join(taxonomy_dir,"nodes.dmp"), os.path.join(taxonomy_dir,"names.dmp"), "--taxNames", "Ebolavirus" ] args = metagenomics.parser_filter_bam_to_taxa(argparse.ArgumentParser()).parse_args(args) args.func_main(args) expected_bam = os.path.join(input_dir,"expected.bam") assert_equal_bam_reads(self, filtered_bam, expected_bam) def test_bam_filter_by_tax_id(self): temp_dir = tempfile.gettempdir() input_dir = util_file.get_test_input_path(self) taxonomy_dir = os.path.join(util_file.get_test_input_path(),"TestMetagenomicsSimple","db","taxonomy") filtered_bam = util_file.mkstempfname('.bam') args = [ os.path.join(input_dir,"input.bam"), os.path.join(input_dir,"input.kraken-reads.tsv.gz"), filtered_bam, os.path.join(taxonomy_dir,"nodes.dmp"), os.path.join(taxonomy_dir,"names.dmp"), "--taxIDs", "186538" ] args = metagenomics.parser_filter_bam_to_taxa(argparse.ArgumentParser()).parse_args(args) args.func_main(args) expected_bam = os.path.join(input_dir,"expected.bam") assert_equal_bam_reads(self, filtered_bam, expected_bam) ================================================ FILE: tests/unit/classify/test_taxon_filter.py ================================================ # Unit tests for taxon_filter.py __author__ = "dpark@broadinstitute.org, irwin@broadinstitute.org," \ + "hlevitin@broadinstitute.org" import unittest import glob import os, os.path import platform import tempfile import shutil import filecmp import subprocess import argparse from viral_ngs import read_utils from viral_ngs import taxon_filter from viral_ngs.core import file as util_file from viral_ngs.core import misc as util_misc from viral_ngs.core import samtools from viral_ngs.classify import last from viral_ngs.classify import bmtagger from viral_ngs.classify import blast from tests import assert_equal_contents, assert_equal_bam_reads, assert_md5_equal_to_line_in_file, TestCaseWithTmp # Skip bmtagger tests on ARM platforms - bmtagger is x86-only (no ARM64 builds in bioconda) IS_ARM = platform.machine() in ('arm64', 'aarch64') SKIP_BMTAGGER_REASON = "bmtagger requires x86-only bioconda package (not available on ARM)" class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in taxon_filter.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() class TestFilterLastal(TestCaseWithTmp): def setUp(self): TestCaseWithTmp.setUp(self) self.polio_fasta = os.path.join( util_file.get_test_input_path(), 'TestMetagenomicsViralMix', 'db', 'library', 'Viruses', 'Enterovirus_C', 'GCF_000861165.1_ViralProj15288_genomic.fna' ) dbDir = tempfile.mkdtemp() self.lastdb_path = last.Lastdb().build_database(self.polio_fasta, os.path.join(dbDir, 'NC_002058')) def test_filter_lastal_bam_polio(self): inBam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'expected', 'test-reads.blastn.bam') outBam = util_file.mkstempfname('-out-taxfilt.bam') args = taxon_filter.parser_filter_lastal_bam(argparse.ArgumentParser()).parse_args([ inBam, self.lastdb_path, outBam]) args.func_main(args) expectedOut = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'expected', 'test-reads.taxfilt.imperfect-2.bam') assert_equal_bam_reads(self, outBam, expectedOut) def test_lastal_empty_input(self): empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') outBam = util_file.mkstempfname('-out-taxfilt.bam') taxon_filter.filter_lastal_bam( empty_bam, self.lastdb_path, outBam ) assert_equal_bam_reads(self, outBam, empty_bam) def test_lastal_empty_output(self): empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') in_bam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads-human.bam') outBam = util_file.mkstempfname('-out-taxfilt.bam') taxon_filter.filter_lastal_bam( in_bam, self.lastdb_path, outBam ) assert_equal_bam_reads(self, outBam, empty_bam) def test_lastal_unbuilt_db(self): empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') in_bam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads-human.bam') outBam = util_file.mkstempfname('-out-taxfilt.bam') taxon_filter.filter_lastal_bam( in_bam, self.polio_fasta, outBam ) assert_equal_bam_reads(self, outBam, empty_bam) @unittest.skipIf(IS_ARM, SKIP_BMTAGGER_REASON) class TestBmtagger(TestCaseWithTmp): ''' How test data was created: exported 5kb region of chr6 created pan-viral fasta file from all NCBI viral accessions used wgsim to create simulated reads ''' def setUp(self): TestCaseWithTmp.setUp(self) self.tempDir = tempfile.mkdtemp() ref_fasta = os.path.join(util_file.get_test_input_path(), '5kb_human_from_chr6.fasta') self.database_prefix_path = os.path.join(self.tempDir, "5kb_human_from_chr6") taxon_filter.bmtagger_build_db(ref_fasta, self.tempDir, "5kb_human_from_chr6", word_size=8) def test_deplete_bmtagger_bam(self): inBam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads.bam') outBam = util_file.mkstempfname('-out.bam') args = taxon_filter.parser_deplete_bam_bmtagger(argparse.ArgumentParser()).parse_args([ inBam, self.database_prefix_path, outBam, '--srprismMemory', '1500']) args.func_main(args) expectedOut = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'expected', 'test-reads.bmtagger.bam') assert_equal_bam_reads(self, outBam, expectedOut) @unittest.skip("too slow for real word size of 18bp") def test_deplete_bmtagger_fasta_db(self): inBam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads.bam') ref_fasta = os.path.join(util_file.get_test_input_path(), '5kb_human_from_chr6.fasta') outBam = util_file.mkstempfname('-out.bam') args = taxon_filter.parser_deplete_bam_bmtagger(argparse.ArgumentParser()).parse_args([ inBam, ref_fasta, outBam, '--srprismMemory', '1500']) args.func_main(args) expectedOut = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'expected', 'test-reads.bmtagger.bam') assert_equal_bam_reads(self, outBam, expectedOut) def test_deplete_bmtagger_tar_db(self): inBam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads.bam') outBam = util_file.mkstempfname('-out.bam') tar_db_tgz = util_file.mkstempfname('.db.tar.gz') cmd = ['tar', '-C', os.path.dirname(self.database_prefix_path), '-cvzf', tar_db_tgz, '.'] subprocess.check_call(cmd) args = taxon_filter.parser_deplete_bam_bmtagger(argparse.ArgumentParser()).parse_args([ inBam, tar_db_tgz, outBam, '--srprismMemory', '1500']) args.func_main(args) expectedOut = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'expected', 'test-reads.bmtagger.bam') assert_equal_bam_reads(self, outBam, expectedOut) os.unlink(tar_db_tgz) def test_bmtagger_empty_input(self): empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') out_bam = util_file.mkstempfname('-out.bam') args = taxon_filter.parser_deplete_bam_bmtagger(argparse.ArgumentParser()).parse_args([ empty_bam, self.database_prefix_path, out_bam, '--srprismMemory', '1500']) args.func_main(args) assert_equal_bam_reads(self, out_bam, empty_bam) def test_bmtagger_empty_output(self): empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') in_bam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads-human.bam') out_bam = util_file.mkstempfname('-out.bam') args = taxon_filter.parser_deplete_bam_bmtagger(argparse.ArgumentParser()).parse_args([ in_bam, self.database_prefix_path, out_bam, '--srprismMemory', '1500']) args.func_main(args) assert_equal_bam_reads(self, out_bam, empty_bam) class TestBlastnDbBuild(TestCaseWithTmp): def test_blastn_db_build(self): commonInputDir = util_file.get_test_input_path() refFasta = os.path.join(commonInputDir, 'ebola.fasta') myInputDir = util_file.get_test_input_path(self) tempDir = tempfile.mkdtemp() output_prefix = self.__class__.__name__ args = taxon_filter.parser_blastn_build_db(argparse.ArgumentParser()).parse_args( [ # input fasta refFasta, # output directory tempDir, "--outputFilePrefix", output_prefix ] ) args.func_main(args) # nhr=header. nin=index, nsq=sequence for ext in [".nhr", ".nsq"]: # ".nin" can change assert_equal_contents( self, os.path.join(tempDir, output_prefix + ext), os.path.join(myInputDir, "expected", output_prefix + ext) ) def test_blastn_db_build_gz(self): commonInputDir = util_file.get_test_input_path() refFasta = os.path.join(commonInputDir, 'ebola.fasta.gz') myInputDir = util_file.get_test_input_path(self) tempDir = tempfile.mkdtemp() output_prefix = self.__class__.__name__ args = taxon_filter.parser_blastn_build_db(argparse.ArgumentParser()).parse_args( [ # input fasta refFasta, # output directory tempDir, "--outputFilePrefix", output_prefix ] ) args.func_main(args) # nhr=header. nin=index, nsq=sequence for ext in [".nhr", ".nsq"]: # ".nin" can change assert_equal_contents( self, os.path.join(tempDir, output_prefix + ext), os.path.join(myInputDir, "expected", output_prefix + ext) ) commonInputDir = util_file.get_test_input_path() refFasta = os.path.join(commonInputDir, 'ebola.fasta.lz4') args = taxon_filter.parser_blastn_build_db(argparse.ArgumentParser()).parse_args( [ # input fasta refFasta, # output directory tempDir, "--outputFilePrefix", output_prefix ] ) args.func_main(args) @unittest.skipIf(IS_ARM, SKIP_BMTAGGER_REASON) class TestBmtaggerDbBuild(TestCaseWithTmp): def test_bmtagger_db_build(self): os.environ.pop('TMPDIR', None) util_file.set_tmp_dir(None) commonInputDir = util_file.get_test_input_path() refFasta = os.path.join(commonInputDir, 'ebola.fasta') myInputDir = util_file.get_test_input_path(self) tempDir = tempfile.mkdtemp() output_prefix = self.__class__.__name__ args = taxon_filter.parser_bmtagger_build_db(argparse.ArgumentParser()).parse_args( [ # input fasta refFasta, # output directory tempDir, "--outputFilePrefix", output_prefix, "--word_size", "8", ] ) args.func_main(args) for ext in [ ".bitmask", ".srprism.amp", ".srprism.imp", ".srprism.pmp", ".srprism.rmp", ".srprism.ssa", ".srprism.ssd" ]: assert_equal_contents( self, os.path.join(tempDir, output_prefix + ext), os.path.join(myInputDir, "expected", output_prefix + ext) ) for ext in [".srprism.map", ".srprism.idx", ".srprism.ss"]: assert_md5_equal_to_line_in_file(self, os.path.join(tempDir, output_prefix + ext), os.path.join(myInputDir, "expected", output_prefix + ext+".md5")) def test_bmtagger_db_build_gz(self): commonInputDir = util_file.get_test_input_path() refFasta = os.path.join(commonInputDir, 'ebola.fasta.gz') myInputDir = util_file.get_test_input_path(self) tempDir = tempfile.mkdtemp() output_prefix = self.__class__.__name__ args = taxon_filter.parser_bmtagger_build_db(argparse.ArgumentParser()).parse_args( [ # input fasta refFasta, # output directory tempDir, "--outputFilePrefix", output_prefix, "--word_size", "8", ] ) args.func_main(args) refFasta = os.path.join(commonInputDir, 'ebola.fasta.lz4') args = taxon_filter.parser_bmtagger_build_db(argparse.ArgumentParser()).parse_args( [ # input fasta refFasta, # output directory tempDir, "--outputFilePrefix", output_prefix, "--word_size", "8", ] ) args.func_main(args) class TestLastalDbBuild(TestCaseWithTmp): def test_lastal_db_build(self): commonInputDir = util_file.get_test_input_path() refFasta = os.path.join(commonInputDir, 'ebola.fasta') myInputDir = util_file.get_test_input_path(self) tempDir = tempfile.mkdtemp() output_prefix = self.__class__.__name__ args = taxon_filter.parser_lastal_build_db(argparse.ArgumentParser()).parse_args( [ # input fasta refFasta, # output directory tempDir, "--outputFilePrefix", output_prefix ] ) args.func_main(args) for ext in [".bck", ".des", ".prj", ".sds", ".ssp", ".tis"]: self.assertGreater(os.path.getsize(os.path.join(tempDir, output_prefix + ext)), 0) #assert_equal_contents( # self, os.path.join(tempDir, output_prefix + ext), # os.path.join(myInputDir, "expected", output_prefix + ext) #) for ext in [".suf"]: self.assertGreater(os.path.getsize(os.path.join(tempDir, output_prefix + ext)), 0) # assert_md5_equal_to_line_in_file(self, os.path.join(tempDir, output_prefix + ext), os.path.join(myInputDir, "expected", output_prefix + ext+".md5")) class TestDepleteBlastnBam(TestCaseWithTmp): ''' How test data was created: humanChr1Subset.fa has 200 bases from human chr1 humanChr9Subset.fa has 200 bases from human chr9 in.fastq "reads" are from humanChr[19]Subset.fa and ebola genome, with arbitrary quality scores. ''' def setUp(self): TestCaseWithTmp.setUp(self) self.tempDir = tempfile.mkdtemp() commonInputDir = util_file.get_test_input_path() ref_fasta = os.path.join(commonInputDir, '5kb_human_from_chr6.fasta') self.database_prefix_path = os.path.join(self.tempDir, "5kb_human_from_chr6") # create blast db self.blastdb_path = blast.MakeblastdbTool().build_database(ref_fasta, self.database_prefix_path) # create multiple dbs self.blastdbs_multi = [] for db in ['humanChr1Subset.fa', 'humanChr9Subset.fa']: dbPath = blast.MakeblastdbTool().build_database( os.path.join(util_file.get_test_input_path(self), db), os.path.join(self.tempDir, db[:-3])) self.blastdbs_multi.append(dbPath) # tar one db, but not the other tar_db_tgz = util_file.mkstempfname('-humanChr9Subset.blastn.db.tar.gz') cmd = ['tar', '-C', self.tempDir, '-cvzf', tar_db_tgz] + list(os.path.basename(f) for f in glob.glob(os.path.join(self.tempDir, "humanChr9Subset.n*"))) subprocess.check_call(cmd) self.blastdbs_multi[1] = tar_db_tgz for idx in glob.glob(os.path.join(self.tempDir, "humanChr9Subset.n*")): os.unlink(idx) def test_deplete_blastn_bam(self): tempDir = tempfile.mkdtemp() myInputDir = util_file.get_test_input_path(self) # Run deplete_blastn_bam inBam = os.path.join(myInputDir, 'in.bam') outBam = os.path.join(tempDir, 'out.bam') args = taxon_filter.parser_deplete_blastn_bam(argparse.ArgumentParser()).parse_args( [inBam] + self.blastdbs_multi + [outBam, "--chunkSize", "0"] ) args.func_main(args) # samtools view for out.sam and compare to expected outSam = os.path.join(tempDir, 'out.sam') samtools_tool = samtools.SamtoolsTool() samtools_tool.view(['-h'], outBam, outSam) assert_equal_bam_reads(self, outSam, os.path.join(myInputDir, 'expected.sam')) def test_deplete_blastn_bam_chunked(self): tempDir = tempfile.mkdtemp() myInputDir = util_file.get_test_input_path(self) # Run deplete_blastn_bam inBam = os.path.join(myInputDir, 'in.bam') outBam = os.path.join(tempDir, 'out.bam') args = taxon_filter.parser_deplete_blastn_bam(argparse.ArgumentParser()).parse_args( [inBam] + self.blastdbs_multi + [outBam, "--chunkSize", "1"] ) args.func_main(args) # samtools view for out.sam and compare to expected outSam = os.path.join(tempDir, 'out.sam') samtools_tool = samtools.SamtoolsTool() samtools_tool.view(['-h'], outBam, outSam) assert_equal_bam_reads(self, outSam, os.path.join(myInputDir, 'expected.sam')) def test_blastn_empty_input(self): empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') out_bam = util_file.mkstempfname('-out.bam') taxon_filter.multi_db_deplete_bam( empty_bam, [self.blastdb_path], taxon_filter.deplete_blastn_bam, out_bam ) self.assertEqual(0, samtools.SamtoolsTool().count(out_bam)) def test_blastn_empty_output(self): in_bam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads-human.bam') out_bam = util_file.mkstempfname('-out.bam') taxon_filter.multi_db_deplete_bam( in_bam, [self.blastdb_path], taxon_filter.deplete_blastn_bam, out_bam ) self.assertEqual(0, samtools.SamtoolsTool().count(out_bam)) class TestDepleteMinimap2Bam(TestCaseWithTmp): ''' Tests for minimap2-based read depletion. Reuses test data from TestDepleteBlastnBam/TestBmtagger. ''' def setUp(self): TestCaseWithTmp.setUp(self) self.tempDir = tempfile.mkdtemp() commonInputDir = util_file.get_test_input_path() # Reuse existing test reference fasta self.ref_fasta = os.path.join(commonInputDir, '5kb_human_from_chr6.fasta') def test_deplete_minimap2_bam(self): '''Basic depletion test - remove human reads from mixed input''' inBam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads.bam') outBam = util_file.mkstempfname('-out.bam') args = taxon_filter.parser_deplete_minimap2_bam(argparse.ArgumentParser()).parse_args([ inBam, self.ref_fasta, outBam]) args.func_main(args) # Should have fewer reads than input after depletion samtools_tool = samtools.SamtoolsTool() self.assertLess(samtools_tool.count(outBam), samtools_tool.count(inBam)) def test_minimap2_empty_input(self): '''Empty input BAM should produce empty output BAM''' empty_bam = os.path.join(util_file.get_test_input_path(), 'empty.bam') out_bam = util_file.mkstempfname('-out.bam') taxon_filter.multi_db_deplete_bam( empty_bam, [self.ref_fasta], taxon_filter.deplete_minimap2_bam, out_bam ) self.assertEqual(0, samtools.SamtoolsTool().count(out_bam)) def test_minimap2_empty_output(self): '''All-human input should result in empty output after depletion''' in_bam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads-human.bam') out_bam = util_file.mkstempfname('-out.bam') taxon_filter.multi_db_deplete_bam( in_bam, [self.ref_fasta], taxon_filter.deplete_minimap2_bam, out_bam ) self.assertEqual(0, samtools.SamtoolsTool().count(out_bam)) class TestDepletePipeline(TestCaseWithTmp): ''' Tests for the full deplete pipeline (main_deplete) including minimap2 depletion. ''' def setUp(self): TestCaseWithTmp.setUp(self) self.tempDir = tempfile.mkdtemp() commonInputDir = util_file.get_test_input_path() self.ref_fasta = os.path.join(commonInputDir, '5kb_human_from_chr6.fasta') def test_deplete_pipeline_with_minimap(self): '''Test full deplete pipeline with minimap2 depletion enabled''' inBam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads.bam') revertBam = util_file.mkstempfname('-revert.bam') minimapBam = util_file.mkstempfname('-minimap.bam') bwaBam = util_file.mkstempfname('-bwa.bam') bmtaggerBam = util_file.mkstempfname('-bmtagger.bam') blastnBam = util_file.mkstempfname('-blastn.bam') args = taxon_filter.parser_deplete(argparse.ArgumentParser()).parse_args([ inBam, revertBam, minimapBam, bwaBam, bmtaggerBam, blastnBam, '--minimapDbs', self.ref_fasta ]) args.func_main(args) samtools_tool = samtools.SamtoolsTool() # Verify output files exist and have fewer reads than input self.assertTrue(os.path.exists(minimapBam)) self.assertLess(samtools_tool.count(minimapBam), samtools_tool.count(inBam)) def test_deplete_pipeline_empty_minimap_dbs(self): '''Test deplete pipeline with empty minimapDbs (default behavior)''' inBam = os.path.join(util_file.get_test_input_path(), 'TestDepleteHuman', 'test-reads.bam') revertBam = util_file.mkstempfname('-revert.bam') minimapBam = util_file.mkstempfname('-minimap.bam') bwaBam = util_file.mkstempfname('-bwa.bam') bmtaggerBam = util_file.mkstempfname('-bmtagger.bam') blastnBam = util_file.mkstempfname('-blastn.bam') args = taxon_filter.parser_deplete(argparse.ArgumentParser()).parse_args([ inBam, revertBam, minimapBam, bwaBam, bmtaggerBam, blastnBam, '--bwaDbs', self.ref_fasta # Use bwa instead of minimap ]) args.func_main(args) samtools_tool = samtools.SamtoolsTool() # Verify minimap output exists (should be copy of input since no minimap dbs) self.assertTrue(os.path.exists(minimapBam)) # With no minimap dbs, minimapBam should have same count as reverted input # BWA depletion happens after, so bwaBam should have fewer reads self.assertLess(samtools_tool.count(bwaBam), samtools_tool.count(inBam)) ================================================ FILE: tests/unit/classify/test_taxonomy.py ================================================ import os.path from os.path import join from viral_ngs.core import file as util_file from viral_ngs import metagenomics def test_taxonomy_subset_zaire(request, tmpdir_factory): data_dir = join(util_file.get_test_input_path(), 'TestMetagenomicsSimple') db_dir = join(data_dir, 'db', 'taxonomy') sub_dir = str(tmpdir_factory.mktemp('taxonomy_subset')) # Zaire species metagenomics.subset_taxonomy(db_dir, sub_dir, whitelistTaxids=[], whitelistTreeTaxids=[186538]) tax_db = metagenomics.TaxonomyDb(sub_dir, load_nodes=True, load_names=True) assert 186538 in tax_db.parents # Zaire species assert 186540 not in tax_db.parents # Sudan species assert 2 not in tax_db.parents # Bacteria ================================================ FILE: tests/unit/classify/test_tools_kb_python.py ================================================ # Unit tests for kb_python import os from unittest.mock import patch, MagicMock import pytest from viral_ngs.classify import kb from viral_ngs.core import file as util_file from viral_ngs.core import misc as util_misc @pytest.fixture def kb_tool(): with patch('viral_ngs.classify.kb.shutil.which', return_value='/usr/bin/kb'): yield kb.kb() @pytest.fixture def kb_inputs(): base = os.path.join(util_file.get_test_input_path(), 'TestKbPython') paths = { 'fastq': os.path.join(base, 'SRR12340077.2.sample.fastq.gz'), 'bam': os.path.join(util_file.get_test_input_path(), 'G5012.3.testreads.bam'), 'index': os.path.join(base, 'palmdb.corona.idx'), 't2g': os.path.join(base, 'palmdb_clustered_t2g.txt'), } for p in paths.values(): assert os.path.exists(p), f'Missing expected kb test input: {p}' return paths def test_build_invokes_kb_ref_with_expected_arguments(kb_tool, kb_inputs): with patch('viral_ngs.classify.kb.subprocess.Popen', autospec=True) as mock_popen: mock_process = mock_popen.return_value mock_process.communicate.return_value = ('', '') mock_process.returncode = 0 kb_tool.build(kb_inputs['fastq'], kb_inputs['index'], workflow='custom', kmer_len=27, protein=True, num_threads=9) args = mock_popen.call_args[0][0] assert ['kb', 'ref'] == args[:2] assert util_misc.list_contains(['-i', kb_inputs['index']], args) assert util_misc.list_contains(['-k', '27'], args) assert util_misc.list_contains(['--workflow', 'custom'], args) assert '--aa' in args expected_threads = str(util_misc.sanitize_thread_count(9)) assert util_misc.list_contains(['-t', expected_threads], args) assert args[-1] == kb_inputs['fastq'] def test_classify_runs_kb_count_single_end_from_bam(kb_tool, kb_inputs): """Test classify with BAM input - should convert to FASTQ via Picard""" mkstemp_vals = ['single.1.fastq', 'single.2.fastq', 'single.s.fastq'] size_map = { 'single.2.fastq': 1, 'single.s.fastq': 10, } with patch('viral_ngs.classify.kb.file.mkstempfname', side_effect=mkstemp_vals), \ patch('viral_ngs.classify.kb.os.unlink'), \ patch('viral_ngs.classify.kb.picard.SamToFastqTool', autospec=True) as picard_cls, \ patch('viral_ngs.classify.kb.picard.PicardTools.dict_to_picard_opts', return_value='clip-opts'), \ patch('viral_ngs.classify.kb.samtools.SamtoolsTool', autospec=True) as samtools_cls, \ patch('viral_ngs.classify.kb.subprocess.Popen', autospec=True) as mock_popen, \ patch('viral_ngs.classify.kb.os.path.getsize', side_effect=lambda path: size_map.get(path, 1000)), \ patch('viral_ngs.classify.kb.glob.glob', return_value=[]): picard_cls.illumina_clipping_attribute = 'XT' picard = picard_cls.return_value picard.jvmMemDefault = '4G' picard.execute.return_value = None samtools = samtools_cls.return_value samtools.isEmpty.return_value = False mock_process = mock_popen.return_value mock_process.communicate.return_value = ('', '') mock_process.returncode = 0 kb_tool.classify(kb_inputs['bam'], kb_inputs['index'], 'out_dir', kb_inputs['t2g'], num_threads=3, loom=True) args = mock_popen.call_args[0][0] assert ['kb', 'count'] == args[:2] assert args[-1] == 'single.s.fastq' assert util_misc.list_contains(['--parity', 'single'], args) assert '--loom' in args assert '--h5ad' not in args expected_threads = str(util_misc.sanitize_thread_count(3)) assert util_misc.list_contains(['-t', expected_threads], args) picard.execute.assert_called_once_with( kb_inputs['bam'], 'single.1.fastq', 'single.2.fastq', outFastq0='single.s.fastq', picardOptions='clip-opts', JVMmemory='4G', ) def test_classify_runs_kb_count_with_fastq_input(kb_tool, kb_inputs): """Test classify with FASTQ input - should skip Picard and use file directly""" with patch('viral_ngs.classify.kb.os.path.exists', return_value=True), \ patch('viral_ngs.classify.kb.subprocess.Popen', autospec=True) as mock_popen, \ patch('viral_ngs.classify.kb.samtools.SamtoolsTool', autospec=True) as samtools_cls, \ patch('viral_ngs.classify.kb.glob.glob', return_value=[]): samtools = samtools_cls.return_value samtools.isEmpty.return_value = False mock_process = mock_popen.return_value mock_process.communicate.return_value = ('', '') mock_process.returncode = 0 kb_tool.classify(kb_inputs['fastq'], kb_inputs['index'], 'out_dir', kb_inputs['t2g'], num_threads=3, h5ad=True) args = mock_popen.call_args[0][0] assert ['kb', 'count'] == args[:2] assert args[-1] == kb_inputs['fastq'] assert util_misc.list_contains(['--parity', 'single'], args) assert '--h5ad' in args expected_threads = str(util_misc.sanitize_thread_count(3)) assert util_misc.list_contains(['-t', expected_threads], args) def test_classify_returns_early_when_bam_is_empty(kb_tool, kb_inputs): mkstemp_vals = ['ignored.1.fastq', 'ignored.2.fastq', 'ignored.s.fastq'] with patch('viral_ngs.classify.kb.file.mkstempfname', side_effect=mkstemp_vals), \ patch('viral_ngs.classify.kb.os.unlink'), \ patch('viral_ngs.classify.kb.picard.SamToFastqTool', autospec=True) as picard_cls, \ patch('viral_ngs.classify.kb.picard.PicardTools.dict_to_picard_opts', return_value='clip-opts'), \ patch('viral_ngs.classify.kb.samtools.SamtoolsTool', autospec=True) as samtools_cls, \ patch('viral_ngs.classify.kb.subprocess.Popen', autospec=True) as mock_popen: picard_cls.illumina_clipping_attribute = 'XT' picard = picard_cls.return_value picard.jvmMemDefault = '4G' picard.execute.return_value = None samtools = samtools_cls.return_value samtools.isEmpty.return_value = True mock_process = mock_popen.return_value mock_process.communicate.return_value = ('', '') mock_process.returncode = 0 kb_tool.classify(kb_inputs['bam'], kb_inputs['index'], 'out_dir', kb_inputs['t2g']) mock_popen.assert_not_called() picard.execute.assert_not_called() ================================================ FILE: tests/unit/classify/test_tools_kma.py ================================================ # Unit tests for KMA import os from unittest.mock import patch, mock_open import pytest from viral_ngs.classify import kma from viral_ngs.core import file as util_file from viral_ngs.core import misc as util_misc @pytest.fixture def kma_tool(): with patch('viral_ngs.classify.kma.shutil.which', return_value='/usr/bin/kma'): yield kma.KMA() @pytest.fixture def kma_inputs(): base = os.path.join(util_file.get_test_input_path(), 'TestKMA') paths = { 'bam': os.path.join(util_file.get_test_input_path(), 'G5012.3.testreads.bam'), 'db_prefix': os.path.join(base, 'test_db'), 'ref_fasta': os.path.join(base, 'ref.fasta'), } return paths def test_build_invokes_kma_index_with_expected_arguments(kma_tool, kma_inputs): with patch('viral_ngs.classify.kma.subprocess.check_call', autospec=True) as mock_check_call: kma_tool.build(kma_inputs['ref_fasta'], kma_inputs['db_prefix'], num_threads=9) args = mock_check_call.call_args[0][0] assert 'kma_index' == args[0] assert util_misc.list_contains(['-i', kma_inputs['ref_fasta']], args) assert util_misc.list_contains(['-o', kma_inputs['db_prefix']], args) expected_threads = str(util_misc.sanitize_thread_count(9)) assert util_misc.list_contains(['-t', expected_threads], args) def test_classify_single_end_from_bam(kma_tool, kma_inputs): """Test classify with BAM input in single-end mode""" mkstemp_vals = ['single.1.fastq', 'single.2.fastq', 'single.s.fastq'] size_map = { 'single.2.fastq': 1, 'single.s.fastq': 10, } with patch('viral_ngs.classify.kma.file.mkstempfname', side_effect=mkstemp_vals), \ patch('viral_ngs.classify.kma.os.unlink'), \ patch('viral_ngs.classify.kma.picard.SamToFastqTool', autospec=True) as picard_cls, \ patch('viral_ngs.classify.kma.picard.PicardTools.dict_to_picard_opts', return_value='clip-opts'), \ patch('viral_ngs.classify.kma.samtools.SamtoolsTool', autospec=True) as samtools_cls, \ patch('viral_ngs.classify.kma.subprocess.check_call', autospec=True) as mock_check_call, \ patch('viral_ngs.classify.kma.os.path.getsize', side_effect=lambda path: size_map.get(path, 1000)): picard_cls.illumina_clipping_attribute = 'XT' picard = picard_cls.return_value picard.jvmMemDefault = '4G' picard.execute.return_value = None samtools = samtools_cls.return_value samtools.isEmpty.return_value = False kma_tool.classify(kma_inputs['bam'], kma_inputs['db_prefix'], 'out_prefix', num_threads=3) args = mock_check_call.call_args[0][0] assert 'kma' == args[0] assert util_misc.list_contains(['-t_db', kma_inputs['db_prefix']], args) assert util_misc.list_contains(['-o', 'out_prefix'], args) assert util_misc.list_contains(['-i', 'single.s.fastq'], args) expected_threads = str(util_misc.sanitize_thread_count(3)) assert util_misc.list_contains(['-t', expected_threads], args) picard.execute.assert_called_once_with( kma_inputs['bam'], 'single.1.fastq', 'single.2.fastq', outFastq0='single.s.fastq', picardOptions='clip-opts', JVMmemory='4G', ) def test_classify_paired_end_from_bam(kma_tool, kma_inputs): """Test classify with BAM input in paired-end mode""" mkstemp_vals = ['paired.1.fastq', 'paired.2.fastq', 'paired.s.fastq'] size_map = { 'paired.2.fastq': 10, 'paired.s.fastq': 1, } with patch('viral_ngs.classify.kma.file.mkstempfname', side_effect=mkstemp_vals), \ patch('viral_ngs.classify.kma.os.unlink'), \ patch('viral_ngs.classify.kma.picard.SamToFastqTool', autospec=True) as picard_cls, \ patch('viral_ngs.classify.kma.picard.PicardTools.dict_to_picard_opts', return_value='clip-opts'), \ patch('viral_ngs.classify.kma.samtools.SamtoolsTool', autospec=True) as samtools_cls, \ patch('viral_ngs.classify.kma.subprocess.check_call', autospec=True) as mock_check_call, \ patch('viral_ngs.classify.kma.os.path.getsize', side_effect=lambda path: size_map.get(path, 1000)): picard_cls.illumina_clipping_attribute = 'XT' picard = picard_cls.return_value picard.jvmMemDefault = '4G' picard.execute.return_value = None samtools = samtools_cls.return_value samtools.isEmpty.return_value = False kma_tool.classify(kma_inputs['bam'], kma_inputs['db_prefix'], 'out_prefix', num_threads=4) args = mock_check_call.call_args[0][0] assert 'kma' == args[0] assert util_misc.list_contains(['-t_db', kma_inputs['db_prefix']], args) assert util_misc.list_contains(['-o', 'out_prefix'], args) assert util_misc.list_contains(['-ipe', 'paired.1.fastq paired.2.fastq'], args) expected_threads = str(util_misc.sanitize_thread_count(4)) assert util_misc.list_contains(['-t', expected_threads], args) picard.execute.assert_called_once_with( kma_inputs['bam'], 'paired.1.fastq', 'paired.2.fastq', outFastq0='paired.s.fastq', picardOptions='clip-opts', JVMmemory='4G', ) def test_classify_returns_early_when_bam_is_empty(kma_tool, kma_inputs): mkstemp_vals = ['ignored.1.fastq', 'ignored.2.fastq', 'ignored.s.fastq'] with patch('viral_ngs.classify.kma.file.mkstempfname', side_effect=mkstemp_vals), \ patch('viral_ngs.classify.kma.os.unlink'), \ patch('viral_ngs.classify.kma.picard.SamToFastqTool', autospec=True) as picard_cls, \ patch('viral_ngs.classify.kma.picard.PicardTools.dict_to_picard_opts', return_value='clip-opts'), \ patch('viral_ngs.classify.kma.samtools.SamtoolsTool', autospec=True) as samtools_cls, \ patch('viral_ngs.classify.kma.subprocess.check_call', autospec=True) as mock_check_call, \ patch('viral_ngs.classify.kma.open', mock_open()) as mocked_open: picard_cls.illumina_clipping_attribute = 'XT' picard = picard_cls.return_value picard.jvmMemDefault = '4G' picard.execute.return_value = None samtools = samtools_cls.return_value samtools.isEmpty.return_value = True kma_tool.classify(kma_inputs['bam'], kma_inputs['db_prefix'], 'out_prefix') mock_check_call.assert_not_called() picard.execute.assert_not_called() mocked_open.assert_called_once_with('out_prefix.res', 'wt') ================================================ FILE: tests/unit/classify/test_tools_krona.py ================================================ # Unit tests for krona from builtins import super import os.path import tempfile import unittest from unittest.mock import patch from viral_ngs.core import file as util_file from viral_ngs.core import misc as util_misc from viral_ngs.classify import krona from tests import TestCaseWithTmp class TestToolKrona(TestCaseWithTmp): def setUp(self): super().setUp() self.krona = krona.Krona() self.krona.install() patcher = patch('subprocess.check_call', autospec=True) self.addCleanup(patcher.stop) self.mock_run = patcher.start() self.db = tempfile.mkdtemp('db') def test_import_taxonomy(self): in_tsv = util_file.mkstempfname('.tsv') output = util_file.mkstempfname('.output') self.krona.import_taxonomy( self.db, [in_tsv], output, query_column=3, taxid_column=5, score_column=7, no_hits=True, no_rank=True ) args = self.mock_run.call_args[0][0] self.assertEqual('ktImportTaxonomy', os.path.basename(args[0])) self.assertTrue(util_misc.list_contains(['-tax', self.db], args)) self.assertTrue(util_misc.list_contains(['-q', '3'], args)) self.assertTrue(util_misc.list_contains(['-t', '5'], args)) self.assertTrue(util_misc.list_contains(['-s', '7'], args)) self.assertIn('-i', args) self.assertIn('-k', args) self.krona.import_taxonomy(self.db, [in_tsv], output) args = self.mock_run.call_args[0][0] self.assertEqual('ktImportTaxonomy', os.path.basename(args[0])) self.assertTrue(util_misc.list_contains(['-tax', self.db], args)) self.assertFalse(util_misc.list_contains(['-q', '3'], args)) self.assertFalse(util_misc.list_contains(['-t', '5'], args)) self.assertFalse(util_misc.list_contains(['-s', '7'], args)) self.assertNotIn('-i', args) self.assertNotIn('-k', args) def test_create_db(self): self.krona.create_db(self.db) args = self.mock_run.call_args[0][0] self.assertEqual('updateTaxonomy.sh', os.path.basename(args[0])) self.assertTrue(util_misc.list_contains(['--only-build', self.db], args)) self.assertIn(self.db, args) ================================================ FILE: tests/unit/core/test_conftest.py ================================================ """Unit tests for pytest customizations""" import sys import os import os.path import functools import pytest import viral_ngs.core from viral_ngs.core.file import slurp_file, get_test_input_path def test_monkeypatch_function_result(monkeypatch_function_result): assert list(viral_ngs.core.misc.unique([])) == [] with monkeypatch_function_result(viral_ngs.core.misc.unique, [], patch_result=[1]): assert list(viral_ngs.core.misc.unique([])) == [1] assert list(viral_ngs.core.misc.unique([2,1,2])) == [2, 1] assert list(viral_ngs.core.misc.unique([])) == [] inp = functools.partial(os.path.join, get_test_input_path()) with pytest.raises(Exception): slurp_file('/some/file') with monkeypatch_function_result(slurp_file, '/some/file', patch_result='some_content', patch_module=sys.modules[__name__]): assert slurp_file('/some/file') == 'some_content' assert slurp_file(inp('ebov-makona.fasta')).startswith('>KJ660346.2') with monkeypatch_function_result(slurp_file, inp('ebov-makona.fasta'), patch_result='something_else', patch_module=sys.modules[__name__]): assert slurp_file('/some/file') == 'some_content' assert slurp_file(inp('ebov-makona.fasta')) == 'something_else' assert slurp_file(inp('ebov-makona.fasta')).startswith('>KJ660346.2') with monkeypatch_function_result(slurp_file, inp('ebov-makona.fasta'), patch_exception=RuntimeError(), patch_module=sys.modules[__name__]): with pytest.raises(Exception): slurp_file(inp('ebov-makona.fasta')) assert slurp_file('/some/file') == 'some_content' with pytest.raises(Exception): slurp_file('/some/file') ================================================ FILE: tests/unit/core/test_file_utils.py ================================================ # Unit tests for ncbi.py __author__ = "tomkinsc@broadinstitute.org" # built-ins import os import tempfile import unittest import argparse # module-specific import viral_ngs.file_utils import viral_ngs.core from tests import TestCaseWithTmp class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_func in viral_ngs.file_utils.__commands__: parser = parser_func(argparse.ArgumentParser()) helpstring = parser.format_help() class TestTarballMerger(TestCaseWithTmp): def setUp(self): super(TestTarballMerger, self).setUp() self.input_dir = viral_ngs.core.file.get_test_input_path(self) self.raw_files = ["file{}".format(x) for x in range(1,5)] self.input_mixed_files = list(os.path.join(self.input_dir, "mixed-compressed-input", fn) for fn in sorted(os.listdir(os.path.join(self.input_dir, "mixed-compressed-input")))) def test_simple_merge(self): """ Simple execution """ temp_dir = tempfile.gettempdir() out_tarball_file = os.path.join(temp_dir,"out.tar.gz") viral_ngs.file_utils.merge_tarballs( out_tarball_file, self.input_mixed_files ) class TestTsvJoin(TestCaseWithTmp): def test_join(self): infiles = list(os.path.join(viral_ngs.core.file.get_test_input_path(self), x) for x in ('tab-1.txt', 'tab-2.txt')) expected = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'expected-out.txt') actual = viral_ngs.core.file.mkstempfname('.joined.txt') viral_ngs.file_utils.tsv_join(infiles, actual, join_id='h1') self.assertEqualContents(expected, actual) ================================================ FILE: tests/unit/core/test_illumina.py ================================================ # Unit tests for illumina.py # -*- coding: utf-8 -*- __author__ = "dpark@broadinstitute.org" import unittest import os import os.path import tempfile import argparse import filecmp import shutil import json import gzip import pytest import viral_ngs.core import viral_ngs.illumina import viral_ngs.core.samtools import viral_ngs.core.picard from tests import TestCaseWithTmp, assert_equal_bam_reads class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in viral_ngs.illumina.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() class TestSampleSheet(TestCaseWithTmp): def test_miseq(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-miseq-1.csv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 20) def test_broad_platform(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-hiseq-1.csv'), only_lane=2) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 24) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-hiseq-1.csv'), allow_non_unique=True) self.assertEqual(len(samples.get_rows()), 48) def test_walkup_submission_no_header_no_lf(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-submit-1.csv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 24) def test_walkup_submission(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-submit-2.csv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 96) def test_walkup_submission_no_lf(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-submit-3.csv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 24) def test_tabfile(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 24) def test_dup_index_collapse_at_init(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet( os.path.join(inDir, 'SampleSheet-custom-inner-barcodes-outer-collapse.tsv'), collapse_duplicates=True, allow_non_unique = True) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(samples.duplicate_rows_collapsed, True) self.assertEqual(len(samples.get_rows()), 4) def test_dup_index_collapse(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet( os.path.join(inDir, 'SampleSheet-custom-inner-barcodes-outer-collapse.tsv'), allow_non_unique = True ) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(samples.duplicate_rows_collapsed, False) self.assertEqual(samples.can_be_collapsed, True) self.assertEqual(samples.num_samples, 96) samples.collapse_sample_index_duplicates() self.assertEqual(samples.num_indexes(), 2) self.assertEqual(samples.duplicate_rows_collapsed, True) self.assertEqual(samples.can_be_collapsed, False) self.assertEqual(len(samples.get_rows()), 4) # check that unique values in grouped rows are preserved # and others are collapsed to the md5sum of the (joined) unique values collapsed_row = next((r for r in samples.get_rows() if r["sample"] == "CTGATCGT-GCGCATAT" and r["barcode_1"] == "CTGATCGT" and r["barcode_2"] == "GCGCATAT"), None) self.assertEqual(collapsed_row["library_id_per_sample"], "Pool_1") self.assertEqual(collapsed_row["barcode_3"],"2e094627_muxed") # check for dups in the collapsed output self.assertEqual(len(set((r["barcode_1"] for r in samples.get_rows()))), len(list((r["barcode_1"] for r in samples.get_rows())))) self.assertEqual(len(set((r["barcode_2"] for r in samples.get_rows()))), len(list((r["barcode_2"] for r in samples.get_rows())))) # check that the collapsed output is what we expect self.assertEqual(tuple(r["barcode_1"] for r in samples.get_rows()), ("CTGATCGT","ACTCTCGA","TGAGCTAG","GAGACGAT")) self.assertEqual(tuple(r["barcode_2"] for r in samples.get_rows()), ("GCGCATAT","CTGTACCA","GAACGGTT","ACCGGTTA")) def test_tabfile_win_endings(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1_win-endings.txt')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 24) def test_gz_tabfile_win_endings(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1_win-endings.txt.gz')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 24) def test_tabfile_macos9_endings(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1_macos9-endings.txt')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 24) def test_tabfile_extras(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-2.txt')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 96) def test_tabfile_extras_win(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-2_win-endings.tsv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 96) def test_blank_line_in_tabular_section(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-with-blanklines.csv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 12) def test_picard_block(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-in-Broad-MiSeq-Format_with_Picard_Block.csv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 11) def test_rev_comp_barcode_values(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt')) self.assertEqual(samples.get_rows()[0]["barcode_2"], "TAGATCGC") samples.rev_comp_barcode_values() self.assertEqual(samples.get_rows()[0]["barcode_2"], "GCGATCTA") def test_rev_comp_barcode_value_barcode2_at_load(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt'), rev_comp_barcode_2=True) self.assertEqual(samples.get_rows()[0]["barcode_2"], "GCGATCTA") self.assertTrue(samples.barcodes_revcomped_relative_to_input) self.assertIn("barcode_2", samples.barcodes_revcomped_column_names) self.assertNotIn("barcode_1", samples.barcodes_revcomped_column_names) def test_rev_comp_barcode_values_specified_at_load_two_columns(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt'), barcode_columns_to_revcomp=["barcode_1","barcode_2"]) self.assertEqual(samples.get_rows()[23]["barcode_1"], "TCCTCTAC") self.assertEqual(samples.get_rows()[23]["barcode_2"], "AGAGGATA") self.assertTrue(samples.barcodes_revcomped_relative_to_input) self.assertIn("barcode_1", samples.barcodes_revcomped_column_names) self.assertIn("barcode_2", samples.barcodes_revcomped_column_names) def test_rev_comp_barcode_values_specified_one_column(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt')) self.assertEqual(samples.get_rows()[23]["barcode_1"], "GTAGAGGA") samples.rev_comp_barcode_values(barcode_columns_to_revcomp=["barcode_1"]) self.assertEqual(samples.get_rows()[23]["barcode_1"], "TCCTCTAC") # barcode_2 should be unchanged self.assertEqual(samples.get_rows()[23]["barcode_2"], "TATCCTCT") self.assertIn("barcode_1", samples.barcodes_revcomped_column_names) self.assertNotIn("barcode_2", samples.barcodes_revcomped_column_names) def test_rev_comp_barcode_values_specified_two_columns(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt')) self.assertEqual(samples.get_rows()[23]["barcode_1"], "GTAGAGGA") self.assertEqual(samples.get_rows()[23]["barcode_2"], "TATCCTCT") samples.rev_comp_barcode_values(barcode_columns_to_revcomp=["barcode_1","barcode_2"]) self.assertEqual(samples.get_rows()[23]["barcode_1"], "TCCTCTAC") self.assertEqual(samples.get_rows()[23]["barcode_2"], "AGAGGATA") self.assertIn("barcode_1", samples.barcodes_revcomped_column_names) self.assertIn("barcode_2", samples.barcodes_revcomped_column_names) def test_rev_comp_barcode_values_undo(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt')) self.assertEqual(samples.get_rows()[0]["barcode_2"], "TAGATCGC") samples.rev_comp_barcode_values() self.assertEqual(samples.get_rows()[0]["barcode_2"], "GCGATCTA") samples.rev_comp_barcode_values() self.assertEqual(samples.get_rows()[0]["barcode_2"], "TAGATCGC") def test_rev_comp_barcode_values_not_inplace(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-custom-1.txt')) self.assertEqual(samples.get_rows()[0]["barcode_2"], "TAGATCGC") samples_revcomped = samples.rev_comp_barcode_values(inplace=False) # the original shet should be unchanged self.assertEqual(samples.get_rows()[0]["barcode_2"], "TAGATCGC") # the returned copy should be rev-comped self.assertEqual(samples_revcomped.get_rows()[0]["barcode_2"], "GCGATCTA") class TestRunInfo(TestCaseWithTmp): def test_miseq(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-miseq.xml')) self.assertEqual(runinfo.get_flowcell(), 'AEF96') self.assertEqual(runinfo.get_rundate_american(), '08/21/2015') self.assertEqual(runinfo.get_rundate_iso(), '2015-08-21') self.assertEqual(runinfo.get_machine(), 'M04004') self.assertEqual(runinfo.get_read_structure(), '101T8B8B101T') self.assertEqual(runinfo.num_reads(), 2) self.assertEqual(runinfo.get_machine_model(), "Illumina MiSeq") self.assertEqual(runinfo.get_flowcell_lane_count(), 1) def test_hiseq(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-hiseq.xml')) self.assertEqual(runinfo.get_flowcell(), 'HVFF2ADXX') self.assertEqual(runinfo.get_rundate_american(), '08/21/2015') self.assertEqual(runinfo.get_rundate_iso(), '2015-08-21') self.assertEqual(runinfo.get_machine(), 'SL-HDF') self.assertEqual(runinfo.get_read_structure(), '101T8B8B101T') self.assertEqual(runinfo.num_reads(), 2) self.assertEqual(runinfo.get_machine_model(), "Illumina HiSeq 2500") self.assertEqual(runinfo.get_flowcell_lane_count(), 2) def test_novaseq(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-novaseq.xml')) self.assertEqual(runinfo.get_flowcell(), 'HCYTJDMXX') self.assertEqual(runinfo.get_rundate_american(), '06/27/2018') self.assertEqual(runinfo.get_rundate_iso(), '2018-06-27') self.assertEqual(runinfo.get_machine(), 'A00198') self.assertEqual(runinfo.get_read_structure(), '101T8B8B101T') self.assertEqual(runinfo.num_reads(), 2) self.assertEqual(runinfo.get_machine_model(), "Illumina NovaSeq 6000") self.assertEqual(runinfo.get_flowcell_lane_count(), 2) def test_nextseq550(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-nextseq550.xml')) self.assertEqual(runinfo.get_flowcell(), 'HMTLKAFX2') self.assertEqual(runinfo.get_rundate_american(), '02/21/2021') self.assertEqual(runinfo.get_rundate_iso(), '2021-02-21') self.assertEqual(runinfo.get_machine(), 'NB552060') self.assertEqual(runinfo.get_read_structure(), '149T10B10B149T') self.assertEqual(runinfo.num_reads(), 2) self.assertEqual(runinfo.get_machine_model(), "NextSeq 550") self.assertEqual(runinfo.get_flowcell_lane_count(), 4) def test_novaseq_x_plus(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-novaseq-x-plus.xml')) self.assertEqual(runinfo.get_flowcell(), '22J5GLLT4') self.assertEqual(runinfo.get_rundate_american(), '12/17/2024') self.assertEqual(runinfo.get_rundate_iso(), '2024-12-17') self.assertEqual(runinfo.get_machine(), 'LH00118') self.assertEqual(runinfo.get_read_structure(), '151T10B10B151T') self.assertEqual(runinfo.num_reads(), 2) self.assertEqual(runinfo.get_machine_model(), "Illumina NovaSeq X Plus") self.assertEqual(runinfo.get_flowcell_lane_count(), 8) def test_nextseq_1000_2000_p1(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-nextseq-1000-2000-p1.xml')) self.assertEqual(runinfo.get_flowcell(), 'AAG27M7M5') self.assertEqual(runinfo.get_rundate_american(), '09/27/2024') self.assertEqual(runinfo.get_rundate_iso(), '2024-09-27') self.assertEqual(runinfo.get_machine(), 'VH01619') self.assertEqual(runinfo.get_read_structure(), '151T8B8B151T') self.assertEqual(runinfo.num_reads(), 2) self.assertEqual(runinfo.get_machine_model(), "NextSeq 1000/2000") self.assertEqual(runinfo.get_flowcell_lane_count(), 1) def test_novel_tile_count_but_known_fcid(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-novel-tile-count.xml')) self.assertEqual(runinfo.get_machine_model(), "Illumina MiSeq") def test_novel_fcid_but_known_tile_count(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-novel-fcid.xml')) self.assertEqual(runinfo.get_machine_model(), "Illumina MiSeq") def test_novel_tile_count_and_fcid(self): inDir = viral_ngs.core.file.get_test_input_path(self) runinfo = viral_ngs.illumina.RunInfo(os.path.join(inDir, 'RunInfo-novel-fcid-and-tilecount.xml')) self.assertEqual(runinfo.get_machine_model(), "UNKNOWN") class TestIlluminaDir(TestCaseWithTmp): def test_directory(self): inDir = viral_ngs.core.file.get_test_input_path(self) test_in = os.path.join(inDir, 'empty_dir') with viral_ngs.illumina.IlluminaDirectory(test_in) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) def test_tarball_normal(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-plain.tgz')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-plain.tar.bz2')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-plain.tar.lz4')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) def test_tarball_indented(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-indented.tgz')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) def test_tarball_sample_sheet(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-samplesheet.tar.gz')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) self.assertEqual(len(idir.get_SampleSheet().get_rows()), 15) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-both.tar.gz')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) self.assertEqual(len(idir.get_SampleSheet().get_rows()), 15) def test_tarball_uncompressed(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-both-uncompressed.tar')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) self.assertEqual(len(idir.get_SampleSheet().get_rows()), 15) def test_tarball_deep_dir_tree(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-both-broad_full_path.tar.gz')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) self.assertEqual(len(idir.get_SampleSheet().get_rows()), 15) def test_zip_archive(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-both-2.zip')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) self.assertEqual(len(idir.get_SampleSheet().get_rows()), 15) def test_tarball_run_info(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-runinfo.tar.gz')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) self.assertEqual(idir.get_RunInfo().get_flowcell(), 'AHVPA') self.assertEqual(idir.get_RunInfo().get_machine(), 'M04004') self.assertEqual(idir.get_RunInfo().get_rundate_iso(), '2015-08-27') with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-both.tar.gz')) as idir: self.assertTrue(os.path.isdir(idir.get_BCLdir())) self.assertEqual(idir.get_RunInfo().get_flowcell(), 'AHVPA') self.assertEqual(idir.get_RunInfo().get_read_structure(), '101T8B8B101T') def test_tarball_fail_missing_data(self): inDir = viral_ngs.core.file.get_test_input_path(self) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-runinfo.tar.gz')) as idir: self.assertRaises(Exception, idir.get_SampleSheet) with viral_ngs.illumina.IlluminaDirectory(os.path.join(inDir, 'bcl-samplesheet.tar.gz')) as idir: self.assertRaises(Exception, idir.get_RunInfo) class TestDifficultSampleNames(TestCaseWithTmp): def test_paired_1(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') outHeader = viral_ngs.core.file.mkstempfname('.txt') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-0-1_S5_L001_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-0-1_S5_L001_R2_001.fastq.gz')) viral_ngs.illumina.miseq_fastq_to_bam(outBam, sampleSheet, fastq[0], inFastq2=fastq[1], runInfo=runInfo) rgs = list(viral_ngs.core.samtools.SamtoolsTool().getReadGroups(outBam).values()) self.assertEqual(len(rgs), 1) rgs = rgs[0] self.assertEqual(rgs.get('ID'), 'AEF96') self.assertEqual(rgs.get('PL'), 'illumina') self.assertEqual(rgs.get('PU'), 'AEF96.1.CGTACTAG-CTAAGCCT') self.assertEqual(rgs.get('LB'), u'GID-14-E021.ldifficult-value+for_-Sénégalsample_name0.1') self.assertEqual(rgs.get('SM'), u'GID-14-E021') self.assertEqual(rgs.get('CN'), 'M04004') self.assertTrue(rgs.get('DT','').startswith('2015-08-2')) def test_inline_commas_strings(self): inDir = viral_ngs.core.file.get_test_input_path(self) samples = viral_ngs.illumina.SampleSheet(os.path.join(inDir, 'SampleSheet-inline-commas-strings.csv')) self.assertEqual(samples.num_indexes(), 2) self.assertEqual(len(samples.get_rows()), 18) sample_names = [r["sample"] for r in samples.get_rows()] names_to_validate = [ 'Zika "seedstock_1 (in K562, 5ng)', "Zika 'seedstock_3 (in K562, 5ng)", "Zika seedstock_7 (in K562, 10pg)" ] for sample_name in names_to_validate: assert viral_ngs.core.file.string_to_file_name(sample_name) in sample_names class TestIlluminaBarcodeHelper(TestCaseWithTmp): def test_one_correction(self): dir_prefix = "one_correction" in_dir = viral_ngs.core.file.get_test_input_path(self) in_barcodes = os.path.join(in_dir,dir_prefix,"barcodes.txt") in_metrics = os.path.join(in_dir,dir_prefix,"metrics.txt") out_report = viral_ngs.core.file.mkstempfname('.txt') expected = os.path.join(in_dir,dir_prefix,"expected.txt") args = [in_barcodes, in_metrics, out_report] args = viral_ngs.illumina.parser_guess_barcodes(argparse.ArgumentParser()).parse_args(args) args.func_main(args) self.assertEqualContents(out_report, expected) def test_ambiguous(self): dir_prefix = "ambiguous" in_dir = viral_ngs.core.file.get_test_input_path(self) in_barcodes = os.path.join(in_dir,dir_prefix,"barcodes.txt") in_metrics = os.path.join(in_dir,dir_prefix,"metrics.txt") out_report = viral_ngs.core.file.mkstempfname('.txt') expected = os.path.join(in_dir,dir_prefix,"expected.txt") args = [in_barcodes, in_metrics, out_report] args = viral_ngs.illumina.parser_guess_barcodes(argparse.ArgumentParser()).parse_args(args) args.func_main(args) self.assertEqualContents(out_report, expected) def test_single_index_run(self): dir_prefix = "single_index" in_dir = viral_ngs.core.file.get_test_input_path(self) in_barcodes = os.path.join(in_dir,dir_prefix,"barcodes.txt") in_metrics = os.path.join(in_dir,dir_prefix,"metrics.txt") out_report = viral_ngs.core.file.mkstempfname('.txt') expected = os.path.join(in_dir,dir_prefix,"expected.txt") args = [in_barcodes, in_metrics, out_report] args = viral_ngs.illumina.parser_guess_barcodes(argparse.ArgumentParser()).parse_args(args) args.func_main(args) self.assertEqualContents(out_report, expected) def test_single_index_i5_only_run(self): dir_prefix = "single_index_i5_only" in_dir = viral_ngs.core.file.get_test_input_path(self) in_barcodes = os.path.join(in_dir,dir_prefix,"barcodes.txt") in_metrics = os.path.join(in_dir,dir_prefix,"metrics.txt") out_report = viral_ngs.core.file.mkstempfname('.txt') expected = os.path.join(in_dir,dir_prefix,"expected.txt") args = [in_barcodes, in_metrics, out_report] args = viral_ngs.illumina.parser_guess_barcodes(argparse.ArgumentParser()).parse_args(args) args.func_main(args) self.assertEqualContents(out_report, expected) def test_few_assigned(self): dir_prefix = "few_assigned" in_dir = viral_ngs.core.file.get_test_input_path(self) in_barcodes = os.path.join(in_dir,dir_prefix,"barcodes.txt") in_metrics = os.path.join(in_dir,dir_prefix,"metrics.txt") out_report = viral_ngs.core.file.mkstempfname('.txt') self.assertRaises(Exception, viral_ngs.illumina.main_guess_barcodes, in_barcodes, in_metrics, out_report) class TestMiseqToBam(TestCaseWithTmp): def test_paired_1(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') outHeader = viral_ngs.core.file.mkstempfname('.txt') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-0-1_S5_L001_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-0-1_S5_L001_R2_001.fastq.gz')) viral_ngs.illumina.miseq_fastq_to_bam(outBam, sampleSheet, fastq[0], inFastq2=fastq[1], runInfo=runInfo) rgs = list(viral_ngs.core.samtools.SamtoolsTool().getReadGroups(outBam).values()) self.assertEqual(len(rgs), 1) rgs = rgs[0] self.assertEqual(rgs.get('ID'), 'AEF96') self.assertEqual(rgs.get('PL'), 'illumina') self.assertEqual(rgs.get('PU'), 'AEF96.1.CGTACTAG-CTAAGCCT') self.assertEqual(rgs.get('LB'), 'mebv.0.1') self.assertEqual(rgs.get('SM'), 'mebv.0.1') self.assertEqual(rgs.get('CN'), 'M04004') self.assertTrue(rgs.get('DT','').startswith('2015-08-2')) def test_paired_2(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') outHeader = viral_ngs.core.file.mkstempfname('.txt') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-48-5_S17_L001_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-48-5_S17_L001_R2_001.fastq.gz')) viral_ngs.illumina.miseq_fastq_to_bam(outBam, sampleSheet, fastq[0], inFastq2=fastq[1], runInfo=runInfo) rgs = list(viral_ngs.core.samtools.SamtoolsTool().getReadGroups(outBam).values()) self.assertEqual(len(rgs), 1) rgs = rgs[0] self.assertEqual(rgs.get('ID'), 'AEF96') self.assertEqual(rgs.get('PL'), 'illumina') self.assertEqual(rgs.get('PU'), 'AEF96.1.GGACTCCT-TATCCTCT') self.assertEqual(rgs.get('LB'), 'mebv.48.5') self.assertEqual(rgs.get('SM'), 'mebv.48.5') self.assertEqual(rgs.get('CN'), 'M04004') self.assertTrue(rgs.get('DT','').startswith('2015-08-2')) def test_paired_custom_seq_center(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') outHeader = viral_ngs.core.file.mkstempfname('.txt') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-48-5_S17_L001_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-48-5_S17_L001_R2_001.fastq.gz')) viral_ngs.illumina.miseq_fastq_to_bam(outBam, sampleSheet, fastq[0], inFastq2=fastq[1], runInfo=runInfo, sequencing_center='CustomSeqCenter') rgs = list(viral_ngs.core.samtools.SamtoolsTool().getReadGroups(outBam).values()) self.assertEqual(len(rgs), 1) rgs = rgs[0] self.assertEqual(rgs.get('ID'), 'AEF96') self.assertEqual(rgs.get('PL'), 'illumina') self.assertEqual(rgs.get('PU'), 'AEF96.1.GGACTCCT-TATCCTCT') self.assertEqual(rgs.get('LB'), 'mebv.48.5') self.assertEqual(rgs.get('SM'), 'mebv.48.5') self.assertEqual(rgs.get('CN'), 'CustomSeqCenter') self.assertTrue(rgs.get('DT','').startswith('2015-08-2')) def test_fail_missing_pair(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-48-5_S17_L001_R1_001.fastq.gz'),) self.assertRaises(Exception, viral_ngs.illumina.miseq_fastq_to_bam, outBam, sampleSheet, fastq[0], runInfo=runInfo) def test_fail_backwards_pair(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-48-5_S17_L001_R2_001.fastq.gz'), os.path.join(inDir, 'mebv-48-5_S17_L001_R1_001.fastq.gz')) self.assertRaises(Exception, viral_ngs.illumina.miseq_fastq_to_bam, outBam, sampleSheet, fastq[0], fastq2=fastq[1], runInfo=runInfo) def test_fail_mismatched_pair(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-48-5_S16_L001_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-48-5_S17_L001_R2_001.fastq.gz')) self.assertRaises(Exception, viral_ngs.illumina.miseq_fastq_to_bam, outBam, sampleSheet, fastq[0], fastq2=fastq[1], runInfo=runInfo) def test_fail_oob_index(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-48-5_S33_L001_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-48-5_S33_L001_R2_001.fastq.gz')) self.assertRaises(Exception, viral_ngs.illumina.miseq_fastq_to_bam, outBam, sampleSheet, fastq[0], fastq2=fastq[1], runInfo=runInfo) def test_fail_bad_format(self): inDir = viral_ngs.core.file.get_test_input_path(self) outBam = viral_ngs.core.file.mkstempfname('.bam') sampleSheet = os.path.join(inDir, 'SampleSheet.csv') runInfo = os.path.join(inDir, 'RunInfo.xml') fastq = (os.path.join(inDir, 'mebv-48-5_S17_L001_R1_002.fastq.gz'), os.path.join(inDir, 'mebv-48-5_S17_L001_R2_002.fastq.gz')) self.assertRaises(Exception, viral_ngs.illumina.miseq_fastq_to_bam, outBam, sampleSheet, fastq[0], fastq2=fastq[1], runInfo=runInfo) fastq = (os.path.join(inDir, 'mebv-48-5_S17_L002_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-48-5_S17_L002_R2_001.fastq.gz')) self.assertRaises(Exception, viral_ngs.illumina.miseq_fastq_to_bam, outBam, sampleSheet, fastq[0], fastq2=fastq[1], runInfo=runInfo) fastq = (os.path.join(inDir, 'mebv-48-5_17_L001_R1_001.fastq.gz'), os.path.join(inDir, 'mebv-48-5_17_L001_R2_001.fastq.gz')) self.assertRaises(Exception, viral_ngs.illumina.miseq_fastq_to_bam, outBam, sampleSheet, fastq[0], fastq2=fastq[1], runInfo=runInfo) class TestSplitcodeDemuxIntegration(TestCaseWithTmp): """ End-to-end integration test for splitcode_demux command. Tests a typical workflow: - Input: BAM files from outer barcode demux (one per pool) - Sample sheet with inner barcodes (barcode_3) - RunInfo.xml with run metadata - Output: Per-sample BAM files after inner barcode demux """ def setUp(self): super().setUp() self.samtools = viral_ngs.core.samtools.SamtoolsTool() self.picard = viral_ngs.core.picard.FastqToSamTool() def create_test_bam_with_inline_barcodes(self, output_bam, barcode_reads): """ Create a test BAM file with reads containing inline barcodes. This simulates what Picard creates from a sequencer with read structure "50T8B8B50T": - R1: 50bp template (first 8bp are inline barcode, remaining 42bp are actual sequence) - R2: 50bp template - The index reads (8B8B) are not included in the BAM template sequences Args: output_bam: Path to output BAM file barcode_reads: Dict mapping barcode -> num_reads e.g., {"AAAACCCC": 10, "GGGGTTTT": 5} """ r1_fastq = viral_ngs.core.file.mkstempfname('.fastq') r2_fastq = viral_ngs.core.file.mkstempfname('.fastq') with open(r1_fastq, 'w') as f1, open(r2_fastq, 'w') as f2: read_id = 0 for barcode, num_reads in barcode_reads.items(): for _ in range(num_reads): # R1: 50bp total (8bp inline barcode + 42bp sequence) # Picard treats all 50bp as template, doesn't know about the inline barcode seq_r1 = barcode + ("ACGT" * 10) + "AC" # 8bp + 40bp + 2bp = 50bp qual_r1 = "I" * len(seq_r1) # R2: 50bp template seq_r2 = "TGCA" * 12 + "TG" # 50bp qual_r2 = "I" * len(seq_r2) f1.write(f"@read{read_id}\n{seq_r1}\n+\n{qual_r1}\n") f2.write(f"@read{read_id}\n{seq_r2}\n+\n{qual_r2}\n") read_id += 1 # Convert to BAM self.picard.execute( r1_fastq, r2_fastq, "PoolSample", output_bam, picardOptions=['LIBRARY_NAME=TestPool', 'PLATFORM=ILLUMINA'] ) os.unlink(r1_fastq) os.unlink(r2_fastq) return output_bam def create_expected_output_bam(self, output_bam, sample_name, barcode, num_reads, sample_idx=0, starting_read_id=0): """ Create an expected output BAM file with reads after splitcode demux. After demuxing with splitcode using read structure "50T8B8B50T": - R1: Original 50bp read (barcode trimmed off) - R2: Original 50bp read (unchanged) Args: output_bam: Path to output BAM file sample_name: Sample name for read group barcode: The inline barcode (for verification, not included in output) num_reads: Number of reads to create sample_idx: Sample index (0-based) for read group name generation starting_read_id: Starting read ID number (for sequential read numbering) """ r1_fastq = viral_ngs.core.file.mkstempfname('.fastq') r2_fastq = viral_ngs.core.file.mkstempfname('.fastq') with open(r1_fastq, 'w') as f1, open(r2_fastq, 'w') as f2: for i in range(num_reads): read_id = starting_read_id + i # After splitcode demux: # R1: The barcode is trimmed, leaving only the 42bp sequence after barcode # (splitcode trims the 8bp inline barcode from the start of the 50bp R1) seq_r1 = ("ACGT" * 10) + "AC" # 42bp (barcode already removed) qual_r1 = "I" * len(seq_r1) # R2: Unchanged 50bp seq_r2 = "TGCA" * 12 + "TG" # 50bp qual_r2 = "I" * len(seq_r2) f1.write(f"@read{read_id}\n{seq_r1}\n+\n{qual_r1}\n") f2.write(f"@read{read_id}\n{seq_r2}\n+\n{qual_r2}\n") # Convert to BAM with same read group structure as splitcode_demux output # Read group name format: {sequencing_center}.{lane}.{sample_idx+1} read_group_name = f"TEST.1.{sample_idx + 1}" self.picard.execute( r1_fastq, r2_fastq, sample_name, output_bam, picardOptions=[ f'LIBRARY_NAME=L1', 'PLATFORM=ILLUMINA', 'SEQUENCING_CENTER=TEST', f'RUN_DATE=2025-01-01', f'READ_GROUP_NAME={read_group_name}', ] ) os.unlink(r1_fastq) os.unlink(r2_fastq) return output_bam def test_splitcode_demux_basic(self): """ Test splitcode_demux command with minimal realistic input. Simulates a pool with 2 samples distinguished by inner barcodes. Verifies that: - Command runs without error - Output BAM files are created for each sample - Output BAMs contain expected number of reads - Output BAM content matches expected (reads correctly demuxed and trimmed) """ # Get test input directory inDir = viral_ngs.core.file.get_test_input_path(self) # Define expected read counts per sample sample1_reads = 100 sample2_reads = 50 # Create temporary directories with tempfile.TemporaryDirectory() as input_bams_dir: with tempfile.TemporaryDirectory() as outDir: with tempfile.TemporaryDirectory() as expectedDir: # Create a pool BAM file with reads from 2 barcodes # Pool identifier from sample sheet: ATCGATCG-GCTAGCTA.lL1.TESTFLOW.1 pool_bam = os.path.join(input_bams_dir, 'ATCGATCG-GCTAGCTA.lL1.TESTFLOW.1.bam') self.create_test_bam_with_inline_barcodes( pool_bam, { "AAAAAAAA": sample1_reads, # TestSample1 barcode "CCCCCCCC": sample2_reads, # TestSample2 barcode } ) # Create expected output BAM files expected_sample1_bam = os.path.join(expectedDir, 'TestSample1.lL1.TESTFLOW.1.bam') expected_sample2_bam = os.path.join(expectedDir, 'TestSample2.lL1.TESTFLOW.1.bam') self.create_expected_output_bam( expected_sample1_bam, "TestSample1", "AAAAAAAA", sample1_reads, sample_idx=0, # First sample in samplesheet starting_read_id=0 # Reads 0-99 ) self.create_expected_output_bam( expected_sample2_bam, "TestSample2", "CCCCCCCC", sample2_reads, sample_idx=1, # Second sample in samplesheet starting_read_id=sample1_reads # Reads 100-149 ) # Run splitcode_demux out_meta_by_sample = os.path.join(outDir, 'test_meta_by_sample.txt') viral_ngs.illumina.splitcode_demux( inDir=input_bams_dir, lane="1", outDir=outDir, sampleSheet=os.path.join(inDir, 'SampleSheet.tsv'), runinfo=os.path.join(inDir, 'RunInfo.xml'), flowcell="TESTFLOW", run_id="TESTFLOW.1", run_date="2025-01-01", read_structure="50T8B8B50T", platform_name="ILLUMINA", sequencing_center="TEST", unmatched_name="Unmatched", max_hamming_dist=1, threads=1, out_meta_by_sample=out_meta_by_sample ) # Verify output files exist and have correct read counts actual_sample1_bam = os.path.join(outDir, 'TestSample1.lL1.TESTFLOW.1.bam') actual_sample2_bam = os.path.join(outDir, 'TestSample2.lL1.TESTFLOW.1.bam') # Verify files exist self.assertTrue( os.path.exists(actual_sample1_bam), f"Expected output BAM not found: {actual_sample1_bam}" ) self.assertTrue( os.path.exists(actual_sample2_bam), f"Expected output BAM not found: {actual_sample2_bam}" ) # Verify read counts match expected actual_sample1_count = self.samtools.count(actual_sample1_bam) actual_sample2_count = self.samtools.count(actual_sample2_bam) expected_sample1_count = self.samtools.count(expected_sample1_bam) expected_sample2_count = self.samtools.count(expected_sample2_bam) self.assertEqual( actual_sample1_count, expected_sample1_count, f"TestSample1 read count mismatch: got {actual_sample1_count}, expected {expected_sample1_count}" ) self.assertEqual( actual_sample2_count, expected_sample2_count, f"TestSample2 read count mismatch: got {actual_sample2_count}, expected {expected_sample2_count}" ) # Verify BAM content matches expected assert_equal_bam_reads(self, actual_sample1_bam, expected_sample1_bam) assert_equal_bam_reads(self, actual_sample2_bam, expected_sample2_bam) class TestParseIlluminaFastqFilename(unittest.TestCase): """Test parsing of Illumina DRAGEN FASTQ filename patterns. DRAGEN format: {flowcell}_{lane}_{numeric_id}_{sample_name}_{S#}_{L00#}_{R#}_{chunk}.fastq.gz Example: 22J5GLLT4_6_0420593812_B13Pool1a_S1_L006_R1_001.fastq.gz """ def test_standard_dragen_format_r1(self): """Test standard DRAGEN FASTQ naming with flowcell ID.""" filename = "22J5GLLT4_6_0420593812_B13Pool1a_S1_L006_R1_001.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['flowcell'], '22J5GLLT4') self.assertEqual(result['lane_short'], 6) self.assertEqual(result['numeric_id'], '0420593812') self.assertEqual(result['sample_name'], 'B13Pool1a') self.assertEqual(result['sample_number'], 1) self.assertEqual(result['lane'], 6) self.assertEqual(result['read'], 1) self.assertEqual(result['chunk'], 1) def test_standard_dragen_format_r2(self): """Test standard DRAGEN format for R2 file.""" filename = "22J5GLLT4_6_0420593812_B13Pool1a_S1_L006_R2_001.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['flowcell'], '22J5GLLT4') self.assertEqual(result['sample_name'], 'B13Pool1a') self.assertEqual(result['read'], 2) def test_sample_name_with_underscores(self): """Test sample names containing underscores.""" filename = "22J5GLLT4_6_0420593812_RS_Batch_20_NTC_01_S5_L006_R1_001.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['flowcell'], '22J5GLLT4') self.assertEqual(result['lane_short'], 6) self.assertEqual(result['numeric_id'], '0420593812') self.assertEqual(result['sample_name'], 'RS_Batch_20_NTC_01') self.assertEqual(result['sample_number'], 5) self.assertEqual(result['lane'], 6) self.assertEqual(result['read'], 1) def test_different_flowcells(self): """Test parsing files from different flowcell IDs.""" test_cases = [ "ABCDEFGH1_1_1234567890_Sample1_S1_L001_R1_001.fastq.gz", "22J5GLLT4_1_1234567890_Sample1_S1_L001_R1_001.fastq.gz", "H7YVLDSXY_1_1234567890_Sample1_S1_L001_R1_001.fastq.gz", ] expected_flowcells = ['ABCDEFGH1', '22J5GLLT4', 'H7YVLDSXY'] for filename, expected_fc in zip(test_cases, expected_flowcells): result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['flowcell'], expected_fc) def test_different_lane_numbers(self): """Test parsing files from different lanes.""" for lane in [1, 2, 3, 4, 5, 6, 7, 8]: filename = f"22J5GLLT4_{lane}_0420593812_Sample1_S1_L00{lane}_R1_001.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['lane'], lane) self.assertEqual(result['lane_short'], lane) def test_different_sample_numbers(self): """Test parsing files with various sample numbers.""" test_cases = [ ("22J5GLLT4_6_0420593812_Sample1_S1_L006_R1_001.fastq.gz", 1), ("22J5GLLT4_6_0420593812_Sample1_S10_L006_R1_001.fastq.gz", 10), ("22J5GLLT4_6_0420593812_Sample1_S100_L006_R1_001.fastq.gz", 100), ] for filename, expected_num in test_cases: result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['sample_number'], expected_num) def test_different_chunk_numbers(self): """Test parsing files with different chunk numbers.""" filename = "22J5GLLT4_6_0420593812_Sample1_S1_L006_R1_002.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['chunk'], 2) filename = "22J5GLLT4_6_0420593812_Sample1_S1_L006_R1_003.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['chunk'], 3) def test_with_full_path(self): """Test parsing filename with full directory path.""" filename = "/path/to/data/22J5GLLT4_6_0420593812_Sample1_S1_L006_R1_001.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['flowcell'], '22J5GLLT4') self.assertEqual(result['sample_name'], 'Sample1') self.assertEqual(result['lane'], 6) def test_without_gz_extension(self): """Test parsing filename without .gz extension.""" filename = "22J5GLLT4_6_0420593812_Sample1_S1_L006_R1_001.fastq" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['flowcell'], '22J5GLLT4') self.assertEqual(result['sample_name'], 'Sample1') def test_simple_format_without_flowcell(self): """Test simple Illumina format without flowcell ID (backward compatibility). Format: {sample_name}_{S#}_{L00#}_{R#}_{chunk}.fastq.gz Example: mebv-48-5_S17_L001_R1_001.fastq.gz """ filename = "mebv-48-5_S17_L001_R1_001.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['sample_name'], 'mebv-48-5') self.assertEqual(result['sample_number'], 17) self.assertEqual(result['lane'], 1) self.assertEqual(result['read'], 1) self.assertEqual(result['chunk'], 1) self.assertIsNone(result.get('flowcell')) def test_simple_format_r2(self): """Test simple format for R2 file.""" filename = "Sample1_S5_L001_R2_001.fastq.gz" result = viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertEqual(result['sample_name'], 'Sample1') self.assertEqual(result['sample_number'], 5) self.assertEqual(result['lane'], 1) self.assertEqual(result['read'], 2) def test_malformed_invalid_format(self): """Test error handling for completely invalid filename.""" filename = "random_file.fastq.gz" with self.assertRaises(ValueError) as context: viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertIn("does not match", str(context.exception).lower()) def test_empty_filename(self): """Test error handling for empty filename.""" with self.assertRaises(ValueError): viral_ngs.illumina.parse_illumina_fastq_filename("") def test_malformed_missing_read_number(self): """Test error handling for filename missing read number.""" filename = "22J5GLLT4_6_0420593812_Sample1_S1_L006_001.fastq.gz" with self.assertRaises(ValueError) as context: viral_ngs.illumina.parse_illumina_fastq_filename(filename) self.assertIn("does not match", str(context.exception).lower()) def test_index_reads_not_supported(self): """Test that index reads (I1, I2) are handled appropriately. Note: DRAGEN may not produce I1/I2 files in the same way as bcl2fastq. This test documents expected behavior if encountered. """ # If DRAGEN produces index files, they might follow a different pattern # For now, test that we handle them gracefully or raise appropriate errors pass class TestNormalizeBarcode(unittest.TestCase): """Test barcode normalization function.""" def test_uppercase_conversion(self): """Test that lowercase barcodes are converted to uppercase.""" self.assertEqual(viral_ngs.illumina.normalize_barcode("acgt"), "ACGT") self.assertEqual(viral_ngs.illumina.normalize_barcode("atcgatcg"), "ATCGATCG") self.assertEqual(viral_ngs.illumina.normalize_barcode("aCgT"), "ACGT") def test_whitespace_trimming(self): """Test that leading and trailing whitespace is removed.""" self.assertEqual(viral_ngs.illumina.normalize_barcode(" ACGT "), "ACGT") self.assertEqual(viral_ngs.illumina.normalize_barcode("\tACGT\n"), "ACGT") self.assertEqual(viral_ngs.illumina.normalize_barcode(" ATCGATCG "), "ATCGATCG") def test_combined_normalization(self): """Test combined uppercase conversion and whitespace trimming.""" self.assertEqual(viral_ngs.illumina.normalize_barcode(" acgt "), "ACGT") self.assertEqual(viral_ngs.illumina.normalize_barcode("\tatcg\n"), "ATCG") def test_already_normalized(self): """Test that already-normalized barcodes pass through unchanged.""" self.assertEqual(viral_ngs.illumina.normalize_barcode("ACGT"), "ACGT") self.assertEqual(viral_ngs.illumina.normalize_barcode("ATCGATCG"), "ATCGATCG") def test_empty_string(self): """Test handling of empty strings.""" self.assertEqual(viral_ngs.illumina.normalize_barcode(""), "") self.assertEqual(viral_ngs.illumina.normalize_barcode(" "), "") def test_valid_characters_only(self): """Test validation that only ACGTN characters are allowed.""" # Valid barcodes self.assertEqual(viral_ngs.illumina.normalize_barcode("ACGT"), "ACGT") self.assertEqual(viral_ngs.illumina.normalize_barcode("AAACCCGGGTTT"), "AAACCCGGGTTT") self.assertEqual(viral_ngs.illumina.normalize_barcode("ACGTN"), "ACGTN") # N for ambiguous base self.assertEqual(viral_ngs.illumina.normalize_barcode("NNNACGT"), "NNNACGT") def test_invalid_characters(self): """Test that invalid characters raise ValueError.""" with self.assertRaises(ValueError) as context: viral_ngs.illumina.normalize_barcode("ACGTX") self.assertIn("invalid", str(context.exception).lower()) with self.assertRaises(ValueError): viral_ngs.illumina.normalize_barcode("ACG-TGC") with self.assertRaises(ValueError): viral_ngs.illumina.normalize_barcode("ACG TGC") # space in middle with self.assertRaises(ValueError): viral_ngs.illumina.normalize_barcode("123") def test_mixed_case_with_n(self): """Test mixed case barcodes containing N.""" self.assertEqual(viral_ngs.illumina.normalize_barcode("acgtn"), "ACGTN") self.assertEqual(viral_ngs.illumina.normalize_barcode("NNNacgt"), "NNNACGT") def test_typical_illumina_barcodes(self): """Test with real Illumina barcode sequences.""" # Typical 8bp dual index barcodes self.assertEqual(viral_ngs.illumina.normalize_barcode("CTGATCGT"), "CTGATCGT") self.assertEqual(viral_ngs.illumina.normalize_barcode("ctgatcgt"), "CTGATCGT") # Typical 10bp barcode self.assertEqual(viral_ngs.illumina.normalize_barcode("AACCGGTTAA"), "AACCGGTTAA") # With whitespace (common in CSV files) self.assertEqual(viral_ngs.illumina.normalize_barcode(" CTGATCGT "), "CTGATCGT") def test_none_input(self): """Test handling of None input.""" with self.assertRaises((ValueError, TypeError)): viral_ngs.illumina.normalize_barcode(None) def test_non_string_input(self): """Test handling of non-string input.""" with self.assertRaises((ValueError, TypeError)): viral_ngs.illumina.normalize_barcode(12345) with self.assertRaises((ValueError, TypeError)): viral_ngs.illumina.normalize_barcode(['A', 'C', 'G', 'T']) class TestBarcodeOrientationAutoDetection(unittest.TestCase): """ Test suite for automatic i5 (barcode_2) orientation detection. Tests the match_barcodes_with_orientation() function which automatically tries reverse complement of barcode_2 when direct matching fails. Note: Only barcode_2 (i5) orientation is auto-detected because this is the only barcode that varies in orientation across Illumina sequencer generations. barcode_1 (i7) is consistent across all platforms. """ def test_direct_match(self): """Test that direct barcode match works without reverse complement.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, {'sample': 'S2', 'barcode_1': 'AAAAAAAA', 'barcode_2': 'TTTTTTTT'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'S1') self.assertFalse(info['barcode_2_revcomp']) def test_barcode2_revcomp_match(self): """Test that reverse complement of barcode_2/i5 is auto-detected.""" # Samplesheet has ACTGCAGCCG, FASTQ has reverse complement CGGCTGCAGT sample_rows = [ {'sample': 'S1', 'barcode_1': 'AGTTAATGCT', 'barcode_2': 'ACTGCAGCCG'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'AGTTAATGCT', 'CGGCTGCAGT', sample_rows # CGGCTGCAGT = revcomp(ACTGCAGCCG) ) self.assertEqual(len(matched), 1) self.assertTrue(info['barcode_2_revcomp']) self.assertEqual(info['matched_bc2'], 'ACTGCAGCCG') def test_no_match_returns_empty(self): """Test that no match returns empty list with skipped_reason='no_match'.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # Use completely different barcodes that won't match matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'GGGGGGGG', 'CCCCCCCC', sample_rows ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'no_match') def test_single_barcode_matching(self): """Test matching with only barcode_1 (barcode_2 is None).""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': ''}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', None, sample_rows ) self.assertEqual(len(matched), 1) def test_case_insensitive_matching(self): """Test that barcode matching is case-insensitive.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'atcgatcg', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'gctagcta', sample_rows ) self.assertEqual(len(matched), 1) def test_multiple_samples_same_outer_barcodes(self): """Test matching returns all samples with same outer barcodes (3-barcode case).""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA', 'barcode_3': 'AAAAAAAA'}, {'sample': 'S2', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA', 'barcode_3': 'CCCCCCCC'}, {'sample': 'S3', 'barcode_1': 'GGGGGGGG', 'barcode_2': 'TTTTTTTT', 'barcode_3': 'AAAAAAAA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 2) self.assertEqual({r['sample'] for r in matched}, {'S1', 'S2'}) def test_barcode2_revcomp_with_multiple_samples(self): """Test i5 auto-detection works when multiple samples share outer barcodes.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA', 'barcode_3': 'AAAAAAAA'}, {'sample': 'S2', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA', 'barcode_3': 'CCCCCCCC'}, ] # TAGCTAGC = revcomp(GCTAGCTA) matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'TAGCTAGC', sample_rows ) self.assertEqual(len(matched), 2) self.assertTrue(info['barcode_2_revcomp']) def test_n_wildcard_in_fastq_barcode(self): """Test that N bases in FASTQ barcodes match any base in samplesheet. This handles sequencer no-call bases where a position couldn't be confidently determined. The N should act as a wildcard. """ sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # FASTQ has N at position 3, samplesheet has G matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCNATCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'S1') self.assertFalse(info['barcode_2_revcomp']) def test_n_wildcard_in_barcode2(self): """Test N wildcard matching in barcode_2.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # FASTQ has N at position 2 of barcode_2 matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCNAGCTA', sample_rows ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'S1') def test_n_wildcard_with_revcomp(self): """Test N wildcard matching combined with i5 reverse complement detection. This is the real-world case: FASTQ barcode_2 has N bases AND needs reverse complement to match samplesheet. """ # Samplesheet has TTCCGACATT, revcomp is AATGTCGGAA sample_rows = [ {'sample': 'VGG_21775', 'barcode_1': 'TAAGGAGGAA', 'barcode_2': 'TTCCGACATT'}, ] # FASTQ has AANGTCGGAA (N at position 2, should match T in revcomp AATGTCGGAA) matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'TAAGGAGGAA', 'AANGTCGGAA', sample_rows ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'VGG_21775') self.assertTrue(info['barcode_2_revcomp']) def test_multiple_n_wildcards(self): """Test multiple N bases in a barcode (up to 50% N allowed).""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # FASTQ has N at positions 0 and 4 (2/8 = 25% N, under threshold) matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'NTCGNTCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 1) def test_high_n_fraction_returns_empty(self): """Test that barcodes with >50% N bases return empty (too low confidence).""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # FASTQ with >50% N bases should return empty, not raise error matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'NNNNNNNN', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'high_n_fraction') def test_high_n_fraction_in_bc2_returns_empty(self): """Test that barcode_2 with >50% N bases also returns empty.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # bc2 has >50% N matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'NNNNNNCTA', sample_rows ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'high_n_fraction') def test_exactly_50_percent_n_allowed(self): """Test that exactly 50% N bases is allowed (boundary case).""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # 4/8 = exactly 50% N is allowed (threshold is >50%) # NNNNATCG matches ATCGATCG at positions 4-7 matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'NNNNATCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 1) self.assertNotIn('skipped_reason', info) # 5/8 = 62.5% > 50%, should be rejected matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'NNNNNTCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'high_n_fraction') def test_ambiguous_n_match_returns_empty(self): """Test that N-wildcard matching multiple distinct barcode pairs returns empty.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, {'sample': 'S2', 'barcode_1': 'GTCGATCG', 'barcode_2': 'GCTAGCTA'}, # differs only in first base ] # FASTQ with N at position 0 matches both S1 (A) and S2 (G) - ambiguous! matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'NTCGATCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'ambiguous') def test_n_in_samplesheet_does_not_match_with_strict(self): """Test that N in samplesheet barcode does NOT act as wildcard with max_mismatches=0. Only N in the FASTQ (observed) barcode should be a wildcard. N in samplesheet is treated as a concrete base; with strict matching (max_mismatches=0), G vs N is a mismatch and should not match. """ sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCNATCG', 'barcode_2': 'GCTAGCTA'}, ] # FASTQ has G where samplesheet has N - with strict matching, should not match matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCTAGCTA', sample_rows, max_mismatches=0 ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'no_match') def test_n_in_samplesheet_matches_with_fuzzy(self): """N in samplesheet vs non-N in FASTQ is treated as a regular mismatch. With max_mismatches=1, this 1-base difference is tolerated. """ sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCNATCG', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCTAGCTA', sample_rows, max_mismatches=1 ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'S1') def test_n_wildcard_no_false_positives(self): """Test that N wildcard doesn't cause incorrect matches.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'AAAAAAAA', 'barcode_2': 'TTTTTTTT'}, {'sample': 'S2', 'barcode_1': 'CCCCCCCC', 'barcode_2': 'GGGGGGGG'}, ] # FASTQ with 2 N bases (25%) should still only match one sample matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ANAAANNA', 'TTTTTTTT', sample_rows ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'S1') class TestBarcodeFuzzyMatching(unittest.TestCase): """Test suite for barcode_matches_fuzzy() function.""" def test_exact_match_zero_mismatches(self): ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCGATCG', 'ATCGATCG', 1) self.assertTrue(ok) self.assertEqual(mm, 0) def test_one_mismatch_allowed(self): ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCGATCG', 'ATCAATCG', 1) self.assertTrue(ok) self.assertEqual(mm, 1) def test_two_mismatches_rejected_at_threshold_1(self): ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCGATCG', 'ATAAATCG', 1) self.assertFalse(ok) self.assertEqual(mm, 2) def test_two_mismatches_allowed_at_threshold_2(self): ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCGATCG', 'ATAAATCG', 2) self.assertTrue(ok) self.assertEqual(mm, 2) def test_n_not_counted_as_mismatch(self): ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCNATCG', 'ATCGATCG', 0) self.assertTrue(ok) self.assertEqual(mm, 0) def test_n_plus_real_mismatch(self): # N at pos 3 (wildcard), real mismatch at pos 0 (A->G) ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCNATCG', 'GTCGATCG', 1) self.assertTrue(ok) self.assertEqual(mm, 1) def test_length_mismatch(self): ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCGATCG', 'ATCGATC', 1) self.assertFalse(ok) def test_zero_max_mismatches_is_strict(self): # With max_mismatches=0, a single non-N mismatch should fail ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCGATCG', 'ATCAATCG', 0) self.assertFalse(ok) self.assertEqual(mm, 1) # But N should still be a wildcard ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('ATCNATCG', 'ATCGATCG', 0) self.assertTrue(ok) self.assertEqual(mm, 0) def test_all_n_matches_anything(self): ok, mm = viral_ngs.illumina.barcode_matches_fuzzy('NNNNNNNN', 'ATCGATCG', 0) self.assertTrue(ok) self.assertEqual(mm, 0) class TestFuzzyMatchInOrientation(unittest.TestCase): """Test fuzzy matching integration in match_barcodes_with_orientation().""" def test_fuzzy_match_one_mismatch_bc1(self): """1 mismatch in bc1 should match with max_mismatches=1.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCAATCG', 'GCTAGCTA', sample_rows, max_mismatches=1 ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'S1') def test_fuzzy_match_one_mismatch_bc2(self): """1 mismatch in bc2 should match with max_mismatches=1.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCTAGCGA', sample_rows, max_mismatches=1 ) self.assertEqual(len(matched), 1) def test_fuzzy_match_rejected_at_zero_tolerance(self): """1 mismatch should fail with max_mismatches=0.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCAATCG', 'GCTAGCTA', sample_rows, max_mismatches=0 ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'no_match') def test_fuzzy_prefers_exact_over_fuzzy(self): """When one row is exact and another is 1-mismatch away, prefer exact.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, {'sample': 'S2', 'barcode_1': 'ATCAATCG', 'barcode_2': 'GCTAGCTA'}, # 1 mismatch from ATCGATCG ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCTAGCTA', sample_rows, max_mismatches=1 ) self.assertEqual(len(matched), 1) self.assertEqual(matched[0]['sample'], 'S1') def test_fuzzy_ambiguous_same_distance(self): """Two rows at same mismatch distance should be flagged ambiguous.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, {'sample': 'S2', 'barcode_1': 'GTCGATCG', 'barcode_2': 'GCTAGCTA'}, # also 1 mismatch from CTCGATCG ] # CTCGATCG is 1 mismatch from both ATCGATCG (A->C) and GTCGATCG (G->C) matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'CTCGATCG', 'GCTAGCTA', sample_rows, max_mismatches=1 ) self.assertEqual(len(matched), 0) self.assertEqual(info.get('skipped_reason'), 'ambiguous') def test_fuzzy_match_with_revcomp(self): """Fuzzy matching should work combined with i5 reverse complement.""" # Samplesheet has GCTAGCTA, revcomp is TAGCTAGC sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # FASTQ bc1 has 1 mismatch, bc2 needs revcomp matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCAATCG', 'TAGCTAGC', sample_rows, max_mismatches=1 ) self.assertEqual(len(matched), 1) self.assertTrue(info['barcode_2_revcomp']) class TestSamplesheetAuthoritativeBarcodes(unittest.TestCase): """Test that orientation_info returns samplesheet barcode values, not FASTQ-observed.""" def test_matched_bc_contains_samplesheet_values(self): """matched_bc1/bc2 should be samplesheet values, not FASTQ-observed.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'GCTAGCTA', sample_rows ) self.assertEqual(info['matched_bc1'], 'ATCGATCG') self.assertEqual(info['matched_bc2'], 'GCTAGCTA') def test_matched_bc_with_n_contains_samplesheet_values(self): """When FASTQ has N, matched values should be samplesheet truth (no N).""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCNATCG', 'GCTAGCTA', sample_rows ) self.assertEqual(len(matched), 1) self.assertEqual(info['matched_bc1'], 'ATCGATCG') # samplesheet, not ATCNATCG self.assertEqual(info['matched_bc2'], 'GCTAGCTA') def test_matched_bc_with_mismatch_contains_samplesheet_values(self): """When FASTQ has a mismatch, matched values should be samplesheet truth.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCAATCG', 'GCTAGCTA', sample_rows, max_mismatches=1 ) self.assertEqual(len(matched), 1) self.assertEqual(info['matched_bc1'], 'ATCGATCG') # samplesheet, not ATCAATCG self.assertEqual(info['matched_bc2'], 'GCTAGCTA') def test_matched_bc_with_revcomp_contains_samplesheet_values(self): """When revcomp is used, matched_bc2 should be samplesheet value.""" sample_rows = [ {'sample': 'S1', 'barcode_1': 'ATCGATCG', 'barcode_2': 'GCTAGCTA'}, ] # TAGCTAGC = revcomp(GCTAGCTA) matched, info = viral_ngs.illumina.match_barcodes_with_orientation( 'ATCGATCG', 'TAGCTAGC', sample_rows ) self.assertEqual(len(matched), 1) self.assertTrue(info['barcode_2_revcomp']) self.assertEqual(info['matched_bc1'], 'ATCGATCG') self.assertEqual(info['matched_bc2'], 'GCTAGCTA') # samplesheet, not TAGCTAGC class TestConsensusBarcodeFromFastq(unittest.TestCase): """Test consensus_barcode_from_fastq() function.""" def setUp(self): self.tmpdir = tempfile.mkdtemp() def tearDown(self): shutil.rmtree(self.tmpdir, ignore_errors=True) def _write_fastq(self, path, reads): """Write a gzipped FASTQ file with given read headers. Args: path: Output file path reads: List of (header, seq) tuples. Quality will be auto-generated. """ with gzip.open(path, 'wt') as f: for header, seq in reads: f.write(f"{header}\n") f.write(f"{seq}\n") f.write("+\n") f.write("I" * len(seq) + "\n") def test_identical_reads(self): """10 reads all with same barcode → that barcode.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [ (f"@INST:1:FC:1:1:1:{i} 1:N:0:ATCGATCG+GCTAGCTA", "ACGTACGT") for i in range(10) ] self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) self.assertEqual(bc1, 'ATCGATCG') self.assertEqual(bc2, 'GCTAGCTA') def test_consensus_resolves_single_n(self): """9 reads with 'G' at pos 3, 1 read with 'N' → consensus has 'G'.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [] for i in range(9): reads.append((f"@INST:1:FC:1:1:1:{i} 1:N:0:ATCGATCG+GCTAGCTA", "ACGTACGT")) reads.append(("@INST:1:FC:1:1:1:9 1:N:0:ATCNATCG+GCTAGCTA", "ACGTACGT")) self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) self.assertEqual(bc1, 'ATCGATCG') # G wins over N def test_consensus_majority_vote(self): """7 reads with 'A', 3 reads with 'G' at pos 0 → consensus has 'A'.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [] for i in range(7): reads.append((f"@INST:1:FC:1:1:1:{i} 1:N:0:ATCGATCG+GCTAGCTA", "ACGTACGT")) for i in range(3): reads.append((f"@INST:1:FC:1:1:1:{7+i} 1:N:0:GTCGATCG+GCTAGCTA", "ACGTACGT")) self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) self.assertEqual(bc1, 'ATCGATCG') # A wins over G (7 vs 3) def test_consensus_all_n_stays_n(self): """All reads have N at a position → consensus has N.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [ (f"@INST:1:FC:1:1:1:{i} 1:N:0:ATCNATCG+GCTAGCTA", "ACGTACGT") for i in range(10) ] self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) self.assertEqual(bc1, 'ATCNATCG') # all N → stays N def test_empty_fastq_returns_none(self): """Empty FASTQ → (None, None).""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') with gzip.open(fq, 'wt') as f: pass # empty file bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) self.assertIsNone(bc1) self.assertIsNone(bc2) def test_single_barcode_no_plus(self): """Single-index barcodes (no +) → bc2 is None.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [ (f"@INST:1:FC:1:1:1:{i} 1:N:0:ATCGATCG", "ACGTACGT") for i in range(5) ] self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=5) self.assertEqual(bc1, 'ATCGATCG') self.assertIsNone(bc2) def test_single_read(self): """With num_reads=1, same as reading just the first read.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [ ("@INST:1:FC:1:1:1:0 1:N:0:ATCGATCG+GCTAGCTA", "ACGTACGT"), ("@INST:1:FC:1:1:1:1 1:N:0:GTCGATCG+GCTAGCTA", "ACGTACGT"), ] self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=1) self.assertEqual(bc1, 'ATCGATCG') # only first read def test_consensus_resolves_mismatch(self): """Real-world scenario: 1 read has mismatched barcode, 9 have correct.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [] # First read has T->C mismatch (the bug scenario) reads.append(("@INST:1:FC:1:1:1:0 1:N:0:ACCGATCG+GCTAGCTA", "ACGTACGT")) # Remaining 9 reads have correct barcode for i in range(1, 10): reads.append((f"@INST:1:FC:1:1:1:{i} 1:N:0:ATCGATCG+GCTAGCTA", "ACGTACGT")) self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) self.assertEqual(bc1, 'ATCGATCG') # consensus corrects the mismatch def test_consensus_tie_returns_n(self): """Even split (5 A vs 5 G) at a position → N (no strict majority).""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') reads = [] for i in range(5): reads.append((f"@INST:1:FC:1:1:1:{i} 1:N:0:ATCGATCG+GCTAGCTA", "ACGTACGT")) for i in range(5): reads.append((f"@INST:1:FC:1:1:1:{5+i} 1:N:0:GTCGATCG+GCTAGCTA", "ACGTACGT")) self._write_fastq(fq, reads) bc1, bc2 = viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) self.assertEqual(bc1[0], 'N') # tie at pos 0 → N self.assertEqual(bc1[1:], 'TCGATCG') # rest is unanimous def test_unparseable_headers_raises(self): """FASTQ with reads but no parseable barcode headers raises ValueError.""" fq = os.path.join(self.tmpdir, 'test.fastq.gz') with gzip.open(fq, 'wt') as f: # Write reads with non-standard headers (no barcode field) for i in range(3): f.write(f"@read_{i}\n") f.write("ACGTACGT\n") f.write("+\n") f.write("IIIIIIII\n") with self.assertRaises(ValueError): viral_ngs.illumina.consensus_barcode_from_fastq(fq, num_reads=10) class TestParseBarcode(unittest.TestCase): """Test _parse_barcode_from_header() helper.""" def test_dual_index(self): bc1, bc2 = viral_ngs.illumina._parse_barcode_from_header( "@INST:1:FC:1:1:1:1 1:N:0:ATCGATCG+GCTAGCTA" ) self.assertEqual(bc1, 'ATCGATCG') self.assertEqual(bc2, 'GCTAGCTA') def test_single_index(self): bc1, bc2 = viral_ngs.illumina._parse_barcode_from_header( "@INST:1:FC:1:1:1:1 1:N:0:ATCGATCG" ) self.assertEqual(bc1, 'ATCGATCG') self.assertIsNone(bc2) def test_invalid_header(self): bc1, bc2 = viral_ngs.illumina._parse_barcode_from_header("@bad") self.assertIsNone(bc1) self.assertIsNone(bc2) class TestBuildRunInfoJson(TestCaseWithTmp): """Test run_info.json construction.""" def test_build_with_all_parameters(self): """Test building run_info.json with all parameters provided.""" run_info_data = viral_ngs.illumina.build_run_info_json( sequencing_center="BROAD", run_start_date="2024-01-15", read_structure="76T8B8B76T", indexes=2, run_id="FLOWCELL123.1", lane=1, flowcell="FLOWCELL123", lane_count=8, surface_count=2, swath_count=3, tile_count=4, total_tile_count=192, sequencer_model="NextSeq 2000" ) self.assertEqual(run_info_data['sequencing_center'], 'BROAD') self.assertEqual(run_info_data['run_start_date'], '2024-01-15') self.assertEqual(run_info_data['read_structure'], '76T8B8B76T') self.assertEqual(run_info_data['indexes'], '2') self.assertEqual(run_info_data['run_id'], 'FLOWCELL123.1') self.assertEqual(run_info_data['lane'], '1') self.assertEqual(run_info_data['flowcell'], 'FLOWCELL123') self.assertEqual(run_info_data['lane_count'], '8') self.assertEqual(run_info_data['surface_count'], '2') self.assertEqual(run_info_data['swath_count'], '3') self.assertEqual(run_info_data['tile_count'], '4') self.assertEqual(run_info_data['total_tile_count'], '192') self.assertEqual(run_info_data['sequencer_model'], 'NextSeq 2000') def test_build_with_minimal_parameters(self): """Test building with only required parameters.""" run_info_data = viral_ngs.illumina.build_run_info_json( sequencing_center="BROAD", run_start_date="2024-01-15", read_structure="76T8B76T", indexes=1, run_id="FC123.1", lane=1, flowcell="FC123" ) # Required fields should be present self.assertEqual(run_info_data['sequencing_center'], 'BROAD') self.assertEqual(run_info_data['run_start_date'], '2024-01-15') self.assertEqual(run_info_data['read_structure'], '76T8B76T') self.assertEqual(run_info_data['flowcell'], 'FC123') self.assertEqual(run_info_data['lane'], '1') self.assertEqual(run_info_data['indexes'], '1') # Optional fields should NOT be present when not provided self.assertNotIn('lane_count', run_info_data) self.assertNotIn('surface_count', run_info_data) self.assertNotIn('sequencer_model', run_info_data) def test_integer_to_string_conversion(self): """Test that integer parameters are converted to strings.""" run_info_data = viral_ngs.illumina.build_run_info_json( sequencing_center="BROAD", run_start_date="2024-01-15", read_structure="76T", indexes=0, run_id="FC.1", lane=3, # integer flowcell="FC", lane_count=8 # integer ) # All numeric fields should be strings in the output self.assertIsInstance(run_info_data['lane'], str) self.assertEqual(run_info_data['lane'], '3') self.assertIsInstance(run_info_data['lane_count'], str) self.assertEqual(run_info_data['indexes'], '0') def test_consistency_with_existing_output_schema(self): """Test that output matches the schema used by illumina_demux and splitcode_demux.""" run_info_data = viral_ngs.illumina.build_run_info_json( sequencing_center="SEQ_CENTER", run_start_date="2024-01-15", read_structure="76T8B8B76T", indexes=2, run_id="RUN.1", lane=1, flowcell="FLOWCELL", lane_count=8, surface_count=2, swath_count=3, tile_count=4, total_tile_count=192, sequencer_model="NextSeq" ) # Verify all expected keys are present expected_keys = [ 'sequencing_center', 'run_start_date', 'read_structure', 'indexes', 'run_id', 'lane', 'flowcell', 'lane_count', 'surface_count', 'swath_count', 'tile_count', 'total_tile_count', 'sequencer_model' ] for key in expected_keys: self.assertIn(key, run_info_data, f"Missing expected key: {key}") def test_none_values_handled(self): """Test that None values for optional parameters are handled gracefully.""" run_info_data = viral_ngs.illumina.build_run_info_json( sequencing_center="BROAD", run_start_date="2024-01-15", read_structure="76T", indexes=0, run_id="FC.1", lane=1, flowcell="FC", lane_count=None, sequencer_model=None ) # Function should handle None gracefully self.assertIsNotNone(run_info_data) self.assertEqual(run_info_data['flowcell'], 'FC') class TestIlluminaMetadata(TestCaseWithTmp): """ Test suite for illumina_metadata entry point. Tests metadata JSON generation from RunInfo.xml and SampleSheet.csv without processing any read data. This function is designed to be run once per sequencing run to generate metadata that's shared across all parallel demux jobs. Outputs tested: - run_info.json: Run metadata (flowcell, dates, read structure, instrument) - meta_by_sample.json: Sample metadata indexed by sample name - meta_by_filename.json: Sample metadata indexed by library ID """ def setUp(self): super().setUp() # Share test data with TestSplitcodeDemuxFastqs # Use the test input directory path construction that works test_dir = viral_ngs.core.file.get_test_path() self.input_dir = os.path.join(test_dir, 'input', 'TestSplitcodeDemuxFastqs') # Metadata input files self.runinfo_xml = os.path.join(self.input_dir, 'RunInfo.xml') self.samplesheet_csv = os.path.join(self.input_dir, 'SampleSheet.csv') # Verify test input files exist for f in [self.runinfo_xml, self.samplesheet_csv]: self.assertTrue(os.path.exists(f), f"Test input file missing: {f}") def test_runinfo_xml_parsing(self): """Test that RunInfo.xml can be parsed correctly.""" runinfo = viral_ngs.illumina.RunInfo(self.runinfo_xml) # Verify basic metadata extraction self.assertEqual(runinfo.get_flowcell(), 'TESTFC01') self.assertEqual(runinfo.get_run_id(), '250101_TEST_0001_BTESTFC01') self.assertEqual(runinfo.get_machine(), 'TEST001') self.assertEqual(runinfo.get_lane_count(), 1) # Verify read structure read_structure = runinfo.get_read_structure() self.assertIn('50T', read_structure) # 50bp template reads self.assertIn('8B', read_structure) # 8bp barcode reads def test_samplesheet_parsing(self): """Test that SampleSheet.csv can be parsed correctly.""" samples = viral_ngs.illumina.SampleSheet( self.samplesheet_csv, only_lane=1, allow_non_unique=False ) # Verify we got the expected samples rows = list(samples.get_rows()) self.assertGreater(len(rows), 0, "SampleSheet should contain samples") # Verify sample metadata structure for row in rows: self.assertIn('sample', row) self.assertIn('barcode_1', row) self.assertIn('barcode_2', row) def test_metadata_json_generation(self): """ Test complete metadata JSON generation workflow. This is the main workflow test that verifies illumina_metadata can generate all three output JSON files with correct schemas. """ out_dir = tempfile.mkdtemp() try: # Output paths out_runinfo = os.path.join(out_dir, 'run_info.json') out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') # Call illumina_metadata (will fail until implemented - expected per TDD) viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=self.samplesheet_csv, lane=1, sequencing_center='Broad', out_runinfo=out_runinfo, out_meta_by_sample=out_meta_by_sample, out_meta_by_filename=out_meta_by_filename ) # Verify all output files were created self.assertTrue(os.path.exists(out_runinfo), "run_info.json not created") self.assertTrue(os.path.exists(out_meta_by_sample), "meta_by_sample.json not created") self.assertTrue(os.path.exists(out_meta_by_filename), "meta_by_filename.json not created") # Verify run_info.json schema with open(out_runinfo, 'r') as f: run_info = json.load(f) required_fields = [ 'sequencing_center', 'run_start_date', 'read_structure', 'indexes', 'run_id', 'lane', 'flowcell', 'lane_count', 'surface_count', 'swath_count', 'tile_count', 'total_tile_count', 'sequencer_model' ] for field in required_fields: self.assertIn(field, run_info, f"Missing required field: {field}") # Verify specific values self.assertEqual(run_info['sequencing_center'], 'Broad') self.assertEqual(run_info['flowcell'], 'TESTFC01') self.assertEqual(run_info['lane'], '1') # Verify meta_by_sample.json schema with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) self.assertIsInstance(meta_by_sample, dict, "meta_by_sample should be a dict") self.assertGreater(len(meta_by_sample), 0, "meta_by_sample should not be empty") # Each sample should have metadata with lane added for sample_name, metadata in meta_by_sample.items(): self.assertIn('lane', metadata, "Sample metadata should include lane") self.assertEqual(metadata['lane'], '1') # Verify meta_by_filename.json schema with open(out_meta_by_filename, 'r') as f: meta_by_filename = json.load(f) self.assertIsInstance(meta_by_filename, dict, "meta_by_filename should be a dict") finally: shutil.rmtree(out_dir) def test_metadata_generation_with_optional_params(self): """Test metadata generation with optional parameters omitted.""" out_dir = tempfile.mkdtemp() try: # Generate only run_info.json (omit sample metadata outputs) out_runinfo = os.path.join(out_dir, 'run_info.json') viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=self.samplesheet_csv, lane=1, out_runinfo=out_runinfo, out_meta_by_sample=None, # Optional out_meta_by_filename=None # Optional ) # Only run_info.json should exist self.assertTrue(os.path.exists(out_runinfo)) self.assertFalse(os.path.exists(os.path.join(out_dir, 'meta_by_sample.json'))) self.assertFalse(os.path.exists(os.path.join(out_dir, 'meta_by_filename.json'))) finally: shutil.rmtree(out_dir) def test_metadata_consistency_with_existing_demux(self): """ Test that illumina_metadata output matches the schema produced by existing illumina_demux and splitcode_demux functions. This ensures compatibility and validates that the refactoring maintains the same output format. """ out_dir = tempfile.mkdtemp() try: out_runinfo = os.path.join(out_dir, 'run_info.json') viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=self.samplesheet_csv, lane=1, sequencing_center='Broad', out_runinfo=out_runinfo ) with open(out_runinfo, 'r') as f: run_info = json.load(f) # Verify the schema matches what build_run_info_json() produces # All values should be strings (as per existing implementation) for field in ['lane', 'lane_count', 'surface_count', 'swath_count', 'tile_count', 'total_tile_count']: self.assertIsInstance(run_info[field], str, f"{field} should be a string for compatibility") finally: shutil.rmtree(out_dir) def test_invalid_runinfo_path(self): """Test error handling for invalid RunInfo.xml path.""" with self.assertRaises((FileNotFoundError, IOError)): viral_ngs.illumina.illumina_metadata( runinfo='/nonexistent/RunInfo.xml', samplesheet=self.samplesheet_csv, lane=1 ) def test_invalid_samplesheet_path(self): """Test error handling for invalid SampleSheet path.""" with self.assertRaises((FileNotFoundError, IOError)): viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet='/nonexistent/SampleSheet.csv', lane=1 ) def test_illumina_metadata_via_parser(self): """ Test illumina_metadata command via argument parser. This tests the full CLI code path including: - Parser argument processing - Argument validation - Main function invocation Regression test for issue #127 where split_args=True caused TypeError with main_illumina_metadata(args) signature. """ out_dir = tempfile.mkdtemp() try: # Output paths out_runinfo = os.path.join(out_dir, 'run_info.json') out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') # Call via parser (like CLI does) parser = viral_ngs.illumina.parser_illumina_metadata(argparse.ArgumentParser()) args = parser.parse_args([ '--runinfo', self.runinfo_xml, '--samplesheet', self.samplesheet_csv, '--lane', '1', '--sequencing_center', 'Broad', '--out_runinfo', out_runinfo, '--out_meta_by_sample', out_meta_by_sample, '--out_meta_by_filename', out_meta_by_filename ]) args.func_main(args) # Verify all output files were created self.assertTrue(os.path.exists(out_runinfo), "run_info.json not created") self.assertTrue(os.path.exists(out_meta_by_sample), "meta_by_sample.json not created") self.assertTrue(os.path.exists(out_meta_by_filename), "meta_by_filename.json not created") # Basic validation that JSON files are valid with open(out_runinfo, 'r') as f: run_info = json.load(f) self.assertEqual(run_info['sequencing_center'], 'Broad') finally: shutil.rmtree(out_dir) def test_three_barcode_samplesheet(self): """ Test illumina_metadata with pure 3-barcode samplesheet. This tests a samplesheet where all samples share outer barcodes (barcode_1 + barcode_2) but differ in inner barcodes (barcode_3). This is the typical use case for splitcode demultiplexing. Expected behavior: - Should handle samples with duplicate barcode_1+barcode_2 combinations - barcode_3 column should be preserved in output metadata - num_indexes should reflect the number of outer barcodes (2) """ out_dir = tempfile.mkdtemp() # Use the 3-barcode samplesheet samples_3bc = os.path.join(self.input_dir, 'samples_3bc.tsv') self.assertTrue(os.path.exists(samples_3bc), f"Test file missing: {samples_3bc}") try: # Output paths out_runinfo = os.path.join(out_dir, 'run_info.json') out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') # Call illumina_metadata with 3-barcode samplesheet viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=samples_3bc, lane=1, sequencing_center='Broad', out_runinfo=out_runinfo, out_meta_by_sample=out_meta_by_sample ) # Verify output files were created self.assertTrue(os.path.exists(out_runinfo), "run_info.json not created") self.assertTrue(os.path.exists(out_meta_by_sample), "meta_by_sample.json not created") # Verify run_info.json has correct index count (should be 2, not 3) with open(out_runinfo, 'r') as f: run_info = json.load(f) self.assertEqual(run_info['indexes'], '2', "num_indexes should be 2 (outer barcodes only)") # Verify meta_by_sample.json includes all samples with barcode_3 with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) # Should have samples from all three pools (7 samples total) self.assertEqual(len(meta_by_sample), 7, "Should have all 7 samples from 3-barcode samplesheet") # Verify 3-barcode samples have barcode_3 field three_bc_samples = ['TestSample1', 'TestSample2', 'TestSample3', 'TestSampleEmpty', 'TestSample5', 'TestSample6'] for sample_name in three_bc_samples: self.assertIn(sample_name, meta_by_sample, f"Sample {sample_name} missing from metadata") self.assertIn('barcode_3', meta_by_sample[sample_name], f"Sample {sample_name} should have barcode_3 field") self.assertNotEqual(meta_by_sample[sample_name]['barcode_3'], '', f"Sample {sample_name} should have non-empty barcode_3") # Verify 2-barcode sample has empty barcode_3 self.assertIn('TestSampleNoSplitcode', meta_by_sample) # barcode_3 should either be empty string or not present (both acceptable) bc3 = meta_by_sample['TestSampleNoSplitcode'].get('barcode_3', '') self.assertEqual(bc3, '', "2-barcode sample should have empty barcode_3") finally: shutil.rmtree(out_dir) def test_mixed_two_and_three_barcode_samplesheet(self): """ Test illumina_metadata with mixed 2-barcode and 3-barcode samples. This tests a samplesheet containing both: - Samples with 3 barcodes (barcode_1 + barcode_2 + barcode_3) - Samples with 2 barcodes (barcode_1 + barcode_2, empty barcode_3) The same samplesheet is used for both scenarios since samples_3bc.tsv already contains this mix. Expected behavior: - Should handle both types of samples in the same samplesheet - All samples should be included in metadata output - barcode_3 field should be present for all samples (empty for 2-barcode samples) """ out_dir = tempfile.mkdtemp() # Use the mixed barcode samplesheet samples_3bc = os.path.join(self.input_dir, 'samples_3bc.tsv') try: # Output paths out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') # Call illumina_metadata viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=samples_3bc, lane=1, out_meta_by_sample=out_meta_by_sample ) # Verify metadata includes both types of samples with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) # Count samples with and without barcode_3 samples_with_bc3 = [] samples_without_bc3 = [] for sample_name, metadata in meta_by_sample.items(): bc3 = metadata.get('barcode_3', '') if bc3 and bc3.strip(): samples_with_bc3.append(sample_name) else: samples_without_bc3.append(sample_name) # Should have 6 samples with barcode_3 (from Pool 1 and Pool 2) self.assertEqual(len(samples_with_bc3), 6, f"Should have 6 samples with barcode_3, got: {samples_with_bc3}") # Should have 1 sample without barcode_3 (from Pool 3) self.assertEqual(len(samples_without_bc3), 1, f"Should have 1 sample without barcode_3, got: {samples_without_bc3}") self.assertIn('TestSampleNoSplitcode', samples_without_bc3, "TestSampleNoSplitcode should have empty barcode_3") # Verify specific samples are categorized correctly self.assertIn('TestSample1', samples_with_bc3) self.assertIn('TestSample2', samples_with_bc3) self.assertIn('TestSample5', samples_with_bc3) finally: shutil.rmtree(out_dir) def test_three_barcode_barcode_uniqueness(self): """ Test that illumina_metadata properly handles duplicate outer barcodes in 3-barcode sheets. In 3-barcode samplesheets, multiple samples share the same barcode_1+barcode_2 combination (outer barcodes) and differ only in barcode_3 (inner barcode). Expected behavior: - Should NOT raise an error about non-unique barcodes - Should successfully generate metadata for all samples - The function should internally handle allow_non_unique=True for 3-barcode sheets This is a regression test to ensure the function doesn't fail when samples share outer barcodes. """ out_dir = tempfile.mkdtemp() samples_3bc = os.path.join(self.input_dir, 'samples_3bc.tsv') try: out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') # This should NOT raise an error even though Pool 1 has 4 samples # sharing ATCGATCG+GCTAGCTA outer barcodes viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=samples_3bc, lane=1, out_meta_by_sample=out_meta_by_sample ) # Verify all Pool 1 samples are present (they share outer barcodes) with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) pool1_samples = ['TestSample1', 'TestSample2', 'TestSample3', 'TestSampleEmpty'] for sample in pool1_samples: self.assertIn(sample, meta_by_sample, f"Pool 1 sample {sample} should be in metadata") # All should have same outer barcodes self.assertEqual(meta_by_sample[sample]['barcode_1'], 'ATCGATCG') self.assertEqual(meta_by_sample[sample]['barcode_2'], 'GCTAGCTA') # All Pool 1 samples should have different barcode_3 bc3_values = [meta_by_sample[s]['barcode_3'] for s in pool1_samples] self.assertEqual(len(set(bc3_values)), len(bc3_values), "Pool 1 samples should have unique barcode_3 values") finally: shutil.rmtree(out_dir) def test_optional_lane_parameter(self): """ Test illumina_metadata with lane=None (optional lane parameter). Verifies that: 1. lane=None is accepted as a valid input 2. run_info.json uses default lane value of "0" 3. Sample metadata preserves lane values from samplesheet when present 4. Sample metadata uses "0" when lane not in samplesheet """ out_dir = tempfile.mkdtemp() try: # Output paths out_runinfo = os.path.join(out_dir, 'run_info.json') out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') # Call illumina_metadata with lane=None viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=self.samplesheet_csv, lane=None, # Test optional lane parameter sequencing_center='Broad', out_runinfo=out_runinfo, out_meta_by_sample=out_meta_by_sample ) # Verify outputs were created self.assertTrue(os.path.exists(out_runinfo), "run_info.json not created") self.assertTrue(os.path.exists(out_meta_by_sample), "meta_by_sample.json not created") # Verify run_info.json uses default lane value of "0" with open(out_runinfo, 'r') as f: run_info = json.load(f) self.assertEqual(run_info['lane'], "0", "run_info.json should use lane='0' when lane=None") # Verify sample metadata has lane field with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) # All samples should have a lane value (either from samplesheet or default "0") for sample_name, sample_meta in meta_by_sample.items(): self.assertIn('lane', sample_meta, f"Sample {sample_name} should have lane field") # Lane should be a string self.assertIsInstance(sample_meta['lane'], str, f"Lane for {sample_name} should be a string") finally: shutil.rmtree(out_dir) def test_optional_lane_backwards_compatibility(self): """ Test that existing code with explicit lane parameter still works. Ensures backwards compatibility - explicitly providing lane should work exactly as before. """ out_dir = tempfile.mkdtemp() try: # Output paths out_runinfo = os.path.join(out_dir, 'run_info.json') out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') # Call illumina_metadata with explicit lane=1 viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=self.samplesheet_csv, lane=1, # Explicit lane value sequencing_center='Broad', out_runinfo=out_runinfo, out_meta_by_sample=out_meta_by_sample ) # Verify outputs were created self.assertTrue(os.path.exists(out_runinfo)) self.assertTrue(os.path.exists(out_meta_by_sample)) # Verify run_info.json uses the specified lane with open(out_runinfo, 'r') as f: run_info = json.load(f) self.assertEqual(run_info['lane'], "1", "run_info.json should use specified lane value") # Verify all samples have the specified lane with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) for sample_name, sample_meta in meta_by_sample.items(): self.assertEqual(sample_meta['lane'], "1", f"Sample {sample_name} should have lane='1'") finally: shutil.rmtree(out_dir) def test_metadata_with_append_run_id(self): """ Test illumina_metadata with --append_run_id flag. When append_run_id=True, the 'run' field in metadata should include the flowcell ID and lane suffix (e.g., 'sample.l1.TESTFC01.1'). This ensures metadata matches BAM filenames when demux commands use --append_run_id. Fixes GitHub issue #150. """ out_dir = tempfile.mkdtemp() try: out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') # Call illumina_metadata with append_run_id=True viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=self.samplesheet_csv, lane=1, append_run_id=True, out_meta_by_filename=out_meta_by_filename ) # Verify output was created self.assertTrue(os.path.exists(out_meta_by_filename)) # Verify run field includes flowcell.lane suffix with open(out_meta_by_filename, 'r') as f: meta = json.load(f) # All keys (run values) should end with .TESTFC01.1 (flowcell.lane) self.assertGreater(len(meta), 0, "Should have at least one sample") for run_key in meta.keys(): self.assertTrue( run_key.endswith('.TESTFC01.1'), f"Expected run key to end with '.TESTFC01.1', got: {run_key}" ) # Also verify the 'run' field in the metadata matches the key self.assertEqual(meta[run_key]['run'], run_key) finally: shutil.rmtree(out_dir) def test_metadata_without_append_run_id(self): """ Test illumina_metadata without --append_run_id flag (default behavior). When append_run_id=False (default), the 'run' field should NOT include the flowcell ID and lane suffix. """ out_dir = tempfile.mkdtemp() try: out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') # Call illumina_metadata without append_run_id (default=False) viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=self.samplesheet_csv, lane=1, out_meta_by_filename=out_meta_by_filename ) # Verify output was created self.assertTrue(os.path.exists(out_meta_by_filename)) # Verify run field does NOT include flowcell.lane suffix with open(out_meta_by_filename, 'r') as f: meta = json.load(f) self.assertGreater(len(meta), 0, "Should have at least one sample") for run_key in meta.keys(): self.assertFalse( run_key.endswith('.TESTFC01.1'), f"Expected run key to NOT end with '.TESTFC01.1', got: {run_key}" ) finally: shutil.rmtree(out_dir) def test_metadata_append_run_id_via_parser(self): """ Test illumina_metadata --append_run_id via argument parser. Verifies the argument is properly wired up through the parser. """ out_dir = tempfile.mkdtemp() try: out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') # Build args via parser parser = viral_ngs.illumina.parser_illumina_metadata(argparse.ArgumentParser()) args = parser.parse_args([ '--runinfo', self.runinfo_xml, '--samplesheet', self.samplesheet_csv, '--lane', '1', '--append_run_id', '--out_meta_by_filename', out_meta_by_filename ]) # Call via main function attached to parser args.func_main(args) # Verify run field includes flowcell.lane suffix with open(out_meta_by_filename, 'r') as f: meta = json.load(f) self.assertGreater(len(meta), 0, "Should have at least one sample") for run_key in meta.keys(): self.assertTrue( run_key.endswith('.TESTFC01.1'), f"Expected run key to end with '.TESTFC01.1', got: {run_key}" ) finally: shutil.rmtree(out_dir) def test_illumina_metadata_runinfo_only(self): """ Test illumina_metadata with only --runinfo and --out_runinfo (no samplesheet). This tests the run-info-only mode where samplesheet is optional. The function should generate run_info.json without requiring a samplesheet. """ out_dir = tempfile.mkdtemp() try: out_runinfo = os.path.join(out_dir, 'run_info.json') # Call illumina_metadata with only runinfo (no samplesheet) viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=None, # No samplesheet lane=1, out_runinfo=out_runinfo ) # Verify run_info.json is created self.assertTrue(os.path.exists(out_runinfo), "run_info.json should be created without samplesheet") # Verify run_info.json has valid structure with open(out_runinfo, 'r') as f: run_info = json.load(f) self.assertIn('sequencing_center', run_info) self.assertIn('flowcell', run_info) self.assertIn('lane', run_info) finally: shutil.rmtree(out_dir) def test_illumina_metadata_sample_output_requires_samplesheet(self): """ Test that illumina_metadata raises error when sample metadata is requested without samplesheet. When --out_meta_by_sample or --out_meta_by_filename is provided, the samplesheet parameter becomes required. """ out_dir = tempfile.mkdtemp() try: out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') # Should raise ValueError when sample metadata requested without samplesheet with self.assertRaises(ValueError) as context: viral_ngs.illumina.illumina_metadata( runinfo=self.runinfo_xml, samplesheet=None, # No samplesheet lane=1, out_meta_by_sample=out_meta_by_sample # But requesting sample metadata ) self.assertIn('samplesheet', str(context.exception).lower(), "Error should mention samplesheet is required") finally: shutil.rmtree(out_dir) def test_illumina_metadata_optional_samplesheet_via_parser(self): """ Test illumina_metadata optional samplesheet via argument parser. Verifies the CLI correctly handles: 1. --runinfo alone with --out_runinfo (should work) 2. The samplesheet argument is optional """ out_dir = tempfile.mkdtemp() try: out_runinfo = os.path.join(out_dir, 'run_info.json') # Build args via parser - only runinfo, no samplesheet parser = viral_ngs.illumina.parser_illumina_metadata(argparse.ArgumentParser()) args = parser.parse_args([ '--runinfo', self.runinfo_xml, '--lane', '1', '--out_runinfo', out_runinfo # Note: no --samplesheet argument ]) # Call via main function attached to parser args.func_main(args) # Verify run_info.json is created self.assertTrue(os.path.exists(out_runinfo), "run_info.json should be created via parser without samplesheet") finally: shutil.rmtree(out_dir) class TestSplitcodeDemuxFastqs(TestCaseWithTmp): """ Test suite for splitcode_demux_fastqs entry point. Tests SIMPLIFIED demultiplexing from paired DRAGEN FASTQ files using 3-barcode scheme: - Input: Paired R1/R2 FASTQ files + custom 3-barcode samplesheet ONLY - Output: Per-sample unaligned BAMs + demux metrics + barcode reports - Does NOT generate: run_info.json, meta_by_sample.json, meta_by_filename.json (use illumina_metadata entry point for those) Test data includes both 3-barcode and 2-barcode samples: - TestPool1 (ATCGATCG+GCTAGCTA) - 3 barcodes: * TestSample1 (AAAAAAAA): 100 reads * TestSample2 (CCCCCCCC): 75 reads * TestSample3 (GGGGTTTT): 50 reads * TestSampleEmpty (TTTTGGGG): 0 reads (empty sample) * Unmatched (NNNNANNN): 25 reads - TestPool3 (GGAATTCC+CCGGAATT) - 2 barcodes only (no barcode_3): * TestSampleNoSplitcode: 80 reads (should bypass splitcode, direct FASTQ→BAM) Note: This simplified version does NOT require RunInfo.xml or Illumina SampleSheet.csv. """ def setUp(self): super().setUp() self.input_dir = viral_ngs.core.file.get_test_input_path(self) # Input FASTQ files self.r1_fastq = os.path.join(self.input_dir, 'TestPool1_S1_L001_R1_001.fastq.gz') self.r2_fastq = os.path.join(self.input_dir, 'TestPool1_S1_L001_R2_001.fastq.gz') # Custom 3-barcode samplesheet self.samples_3bc = os.path.join(self.input_dir, 'samples_3bc.tsv') # RunInfo.xml for richer BAM metadata self.runinfo_xml = os.path.join(self.input_dir, 'RunInfo.xml') # Verify test input files exist for f in [self.r1_fastq, self.r2_fastq, self.samples_3bc, self.runinfo_xml]: self.assertTrue(os.path.exists(f), f"Test input file missing: {f}") def test_parse_fastq_filename_from_test_data(self): """Test that our test FASTQ filenames can be parsed correctly.""" # Test with simple format (no flowcell ID prefix) result = viral_ngs.illumina.parse_illumina_fastq_filename(self.r1_fastq) self.assertEqual(result['sample_name'], 'TestPool1') self.assertEqual(result['sample_number'], 1) self.assertEqual(result['lane'], 1) self.assertEqual(result['read'], 1) self.assertEqual(result['chunk'], 1) self.assertFalse(result.get('is_index', False)) def test_barcode_normalization_on_samplesheet(self): """Test that barcodes from samplesheet can be normalized.""" # Read the custom 3-barcode samplesheet # Note: allow_non_unique=True because samples share index1+index2, differ only in barcode_3 samples = viral_ngs.illumina.SampleSheet(self.samples_3bc, allow_non_unique=True) # Get first sample's barcodes first_sample = samples.get_rows()[0] # Test normalization of each barcode bc1 = viral_ngs.illumina.normalize_barcode(first_sample['barcode_1']) bc2 = viral_ngs.illumina.normalize_barcode(first_sample['barcode_2']) bc3 = viral_ngs.illumina.normalize_barcode(first_sample['barcode_3']) # Should all be uppercase, valid DNA self.assertTrue(all(c in 'ACGTN' for c in bc1)) self.assertTrue(all(c in 'ACGTN' for c in bc2)) self.assertTrue(all(c in 'ACGTN' for c in bc3)) def test_basic_demux_workflow(self): """ Test basic demultiplexing workflow from paired FASTQs. Simplified workflow (no RunInfo.xml or Illumina SampleSheet.csv required): 1. Parse FASTQ filenames for metadata 2. Load custom 3-barcode samplesheet 3. Run splitcode demultiplexing 4. Verify output BAMs are created 5. Verify demux metrics and barcode reports """ out_dir = tempfile.mkdtemp() # Call the main function (will fail until implemented in Phase 3) # NOTE: Simplified interface - no runinfo_xml or illumina_samplesheet needed viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Verify expected output BAMs exist (library name format: {sample}.l{library_id}.bam) expected_bams = [ os.path.join(out_dir, 'TestSample1.lL1.bam'), os.path.join(out_dir, 'TestSample2.lL1.bam'), os.path.join(out_dir, 'TestSample3.lL1.bam'), os.path.join(out_dir, 'TestSampleEmpty.lL1.bam'), ] for bam in expected_bams: self.assertTrue(os.path.exists(bam), f"Expected output BAM missing: {bam}") # Verify demux metrics (but NOT metadata JSONs or barcode reports) self.assertTrue(os.path.exists(os.path.join(out_dir, 'demux_metrics.json'))) # Should NOT generate these (use illumina_metadata or illumina_demux instead) self.assertFalse(os.path.exists(os.path.join(out_dir, 'run_info.json'))) self.assertFalse(os.path.exists(os.path.join(out_dir, 'meta_by_sample.json'))) self.assertFalse(os.path.exists(os.path.join(out_dir, 'meta_by_filename.json'))) # Note: barcodes_common.txt and barcodes_outliers.txt are not generated by # splitcode_demux_fastqs (use illumina_demux for comprehensive barcode reporting) def test_barcode_matching_perfect_match(self): """ Test that reads with perfect barcode matches are assigned correctly. Verify: - TestSample1 (AAAAAAAA) gets exactly 100 reads - TestSample2 (CCCCCCCC) gets exactly 75 reads - TestSample3 (GGGGTTTT) gets exactly 50 reads """ out_dir = tempfile.mkdtemp() # Simplified call - no RunInfo.xml needed viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Use samtools to count reads in each output BAM samtools = viral_ngs.core.samtools.SamtoolsTool() # BAM filenames now use library name format: {sample}.l{library_id_per_sample}.bam sample1_bam = os.path.join(out_dir, 'TestSample1.lL1.bam') sample2_bam = os.path.join(out_dir, 'TestSample2.lL1.bam') sample3_bam = os.path.join(out_dir, 'TestSample3.lL1.bam') # Count read pairs (samtools.count returns total reads, divide by 2 for pairs) sample1_pairs = samtools.count(sample1_bam) // 2 sample2_pairs = samtools.count(sample2_bam) // 2 sample3_pairs = samtools.count(sample3_bam) // 2 self.assertEqual(sample1_pairs, 100, "TestSample1 should have exactly 100 read pairs") self.assertEqual(sample2_pairs, 75, "TestSample2 should have exactly 75 read pairs") self.assertEqual(sample3_pairs, 50, "TestSample3 should have exactly 50 read pairs") def test_unmatched_barcodes(self): """ Test handling of reads with unmatched inline barcodes. Verify: - Reads with outlier barcodes (GGAATTTT, CCCCAAAA, ATATAGAG totaling 25 reads) are handled without errors - No crashes when some reads don't match any sample - Unassigned reads are written to unassigned FASTQs Note: This test does NOT check barcodes_outliers.txt (not generated by splitcode_demux_fastqs). Use illumina_demux for comprehensive barcode reporting. """ out_dir = tempfile.mkdtemp() # Should not crash even with unmatched barcodes viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Verify unassigned FASTQs exist unassigned_r1 = os.path.join(out_dir, 'unassigned_R1.fastq.gz') unassigned_r2 = os.path.join(out_dir, 'unassigned_R2.fastq.gz') self.assertTrue(os.path.exists(unassigned_r1), "Unassigned R1 should exist") self.assertTrue(os.path.exists(unassigned_r2), "Unassigned R2 should exist") # Verify unassigned files are not empty (should have 25 read pairs) samtools = viral_ngs.core.samtools.SamtoolsTool() # We'd need to convert FASTQ to BAM to count, but that's overkill. # Just verify the files have non-zero size. self.assertGreater(os.path.getsize(unassigned_r1), 0, "Unassigned R1 should have content") self.assertGreater(os.path.getsize(unassigned_r2), 0, "Unassigned R2 should have content") def test_empty_barcode_sample(self): """ Test handling of sample with zero matching reads. Verify: - TestSampleEmpty (TTTTGGGG) is in samplesheet but has 0 reads - Empty BAM file is still created (or noted in metrics) - No errors/crashes when sample has zero reads """ out_dir = tempfile.mkdtemp() # Should not raise an exception even though TestSampleEmpty has 0 reads # Simplified call - no RunInfo.xml needed viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Empty sample should either: # 1. Have an empty BAM file created, OR # 2. Be noted in metrics as having 0 reads empty_bam = os.path.join(out_dir, 'TestSampleEmpty.lL1.bam') if os.path.exists(empty_bam): # If BAM exists, it should have 0 reads samtools = viral_ngs.core.samtools.SamtoolsTool() read_count = samtools.count(empty_bam) self.assertEqual(read_count, 0, "Empty sample should have 0 reads") else: # If no BAM, check metrics mentions this sample metrics_file = os.path.join(out_dir, 'demux_metrics.json') with open(metrics_file, 'r') as f: metrics = json.load(f) # TestSampleEmpty should be mentioned somewhere in metrics self.assertIn('TestSampleEmpty', str(metrics), "Empty sample should be mentioned in metrics") def test_output_schema_consistency(self): """ Test that output files match expected schema. Verify: - demux_metrics.json has expected fields - BAM files are valid - Barcode reports are NOT generated (use illumina_demux for those) """ out_dir = tempfile.mkdtemp() # Simplified call - no RunInfo.xml needed viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Check demux_metrics.json has expected structure metrics_file = os.path.join(out_dir, 'demux_metrics.json') with open(metrics_file, 'r') as f: metrics = json.load(f) # Should have sample-level information self.assertIsInstance(metrics, (dict, list), "demux_metrics.json should be JSON dict or list") # Barcode reports should NOT be generated (not part of simplified workflow) common_file = os.path.join(out_dir, 'barcodes_common.txt') outliers_file = os.path.join(out_dir, 'barcodes_outliers.txt') self.assertFalse(os.path.exists(common_file), "barcodes_common.txt should not be generated by splitcode_demux_fastqs") self.assertFalse(os.path.exists(outliers_file), "barcodes_outliers.txt should not be generated by splitcode_demux_fastqs") def test_multi_pool_samplesheet_collapsibility_check(self): """ Test that collapsibility is checked only on the filtered pool, not the entire samplesheet. This is a regression test for GitHub Copilot comment #2510390315. The bug: can_be_collapsed was checking the entire samplesheet instead of just the filtered samples for the current pool. Scenario: - Samplesheet contains multiple pools: * Pool 1 (ATCGATCG+GCTAGCTA): 3-barcode samples (collapsible) * Pool 2 (CTGATCGT+TAGATCGC): 3-barcode samples (collapsible) * Pool 3 (GGAATTCC+CCGGAATT): 2-barcode sample (unique, not collapsible) - FASTQ file contains only Pool 1 data (ATCGATCG+GCTAGCTA) - Should succeed even though Pool 3 exists with unique outer barcodes Before fix: Would fail because can_be_collapsed checked entire samplesheet After fix: Succeeds because collapsibility is checked only on Pool 1 """ out_dir = tempfile.mkdtemp() # The test samplesheet already has this structure: # - Pool 1: ATCGATCG+GCTAGCTA with 3-barcode samples (TestSample1-4) # - Pool 2: CTGATCGT+TAGATCGC with 3-barcode samples (TestSample5-6) # - Pool 3: GGAATTCC+CCGGAATT with 2-barcode sample (TestSampleNoSplitcode) # The test FASTQ contains Pool 1 data only (ATCGATCG+GCTAGCTA) # This should succeed even though the samplesheet contains Pool 3 with unique outer barcodes # This call should NOT raise ValueError about non-collapsible barcodes viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, # Multi-pool samplesheet outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Verify successful demux - BAMs should be created for Pool 1 samples # (library name format: {sample}.l{library_id}.bam) expected_bams = [ os.path.join(out_dir, 'TestSample1.lL1.bam'), os.path.join(out_dir, 'TestSample2.lL1.bam'), os.path.join(out_dir, 'TestSample3.lL1.bam'), os.path.join(out_dir, 'TestSampleEmpty.lL1.bam'), ] for bam in expected_bams: self.assertTrue(os.path.exists(bam), f"Expected output BAM missing: {bam}") # Pool 2 and Pool 3 samples should NOT be created (different outer barcodes) pool2_bams = [ os.path.join(out_dir, 'TestSample5.lL2.bam'), os.path.join(out_dir, 'TestSample6.lL2.bam'), ] pool3_bams = [ os.path.join(out_dir, 'TestSampleNoSplitcode.lL3.bam'), ] for bam in pool2_bams + pool3_bams: self.assertFalse(os.path.exists(bam), f"BAM from different pool should not be created: {bam}") def test_fastq_filename_parsing(self): """ Test extraction of metadata from FASTQ filenames. Verify: - Pool/sample name extracted correctly - Lane number extracted correctly - Read number (R1/R2) extracted correctly """ out_dir = tempfile.mkdtemp() # Simplified call - no RunInfo.xml needed viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Metadata extracted from FASTQ filename should be used in output # Check demux_metrics.json for evidence of correct parsing metrics_file = os.path.join(out_dir, 'demux_metrics.json') with open(metrics_file, 'r') as f: metrics = json.load(f) # Should have metadata about the pool/samples # Exact structure TBD, but should contain sample information self.assertIsInstance(metrics, (dict, list), "Metrics should be valid JSON") def test_two_barcode_sample_bypass_splitcode(self): """ Test handling of 2-barcode samples (empty barcode_3). This tests a mixed samplesheet where some rows have 3 barcodes (requiring splitcode demux) and other rows have only 2 barcodes (empty barcode_3). For 2-barcode rows, splitcode_demux_fastqs should: - Skip splitcode demultiplexing - Perform direct FASTQ → BAM conversion - Produce exactly one output BAM (the pool itself) - Still generate standard output files (JSONs, metrics) Test data: - TestPool3 (GGAATTCC+CCGGAATT): 80 reads, no inline barcode - Expected: Single BAM file with all 80 reads """ out_dir = tempfile.mkdtemp() # Use TestPool3 which has empty barcode_3 (2-barcode sample) r1_fastq = os.path.join(self.input_dir, 'TestPool3_S3_L001_R1_001.fastq.gz') r2_fastq = os.path.join(self.input_dir, 'TestPool3_S3_L001_R2_001.fastq.gz') # Verify test files exist self.assertTrue(os.path.exists(r1_fastq), f"Test FASTQ missing: {r1_fastq}") self.assertTrue(os.path.exists(r2_fastq), f"Test FASTQ missing: {r2_fastq}") # Run demux on 2-barcode sample viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=r1_fastq, fastq_r2=r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # For 2-barcode sample, should produce exactly one BAM file # (the entire pool, no splitcode demux) # BAM filename uses library name format: {sample}.l{library_id}.bam expected_bam = os.path.join(out_dir, 'TestSampleNoSplitcode.lL3.bam') self.assertTrue(os.path.exists(expected_bam), "2-barcode sample should produce a single BAM file") # Verify all 80 reads are in the output BAM samtools = viral_ngs.core.samtools.SamtoolsTool() total_reads = samtools.count(expected_bam) read_pairs = total_reads // 2 self.assertEqual(read_pairs, 80, "All 80 read pairs should be in the 2-barcode sample BAM") # Verify standard output files still exist (but NOT metadata JSONs) self.assertTrue(os.path.exists(os.path.join(out_dir, 'demux_metrics.json'))) # Should NOT generate run_info.json (use illumina_metadata instead) self.assertFalse(os.path.exists(os.path.join(out_dir, 'run_info.json'))) self.assertFalse(os.path.exists(os.path.join(out_dir, 'meta_by_sample.json'))) self.assertFalse(os.path.exists(os.path.join(out_dir, 'meta_by_filename.json'))) def test_splitcode_demux_fastqs_via_parser(self): """ Test splitcode_demux_fastqs command via argument parser. This tests the full CLI code path including: - Parser argument processing - Argument validation - Main function invocation Regression test for issue #127 where split_args=True caused TypeError with main_splitcode_demux_fastqs(args) signature. """ out_dir = tempfile.mkdtemp() try: # Call via parser (like CLI does) parser = viral_ngs.illumina.parser_splitcode_demux_fastqs(argparse.ArgumentParser()) args = parser.parse_args([ '--fastq_r1', self.r1_fastq, '--fastq_r2', self.r2_fastq, '--samplesheet', self.samples_3bc, '--runinfo', self.runinfo_xml, '--outdir', out_dir ]) args.func_main(args) # Verify output files were created self.assertTrue(os.path.exists(os.path.join(out_dir, 'demux_metrics.json'))) # Verify at least one BAM file was created bam_files = [f for f in os.listdir(out_dir) if f.endswith('.bam')] self.assertGreater(len(bam_files), 0, "Should produce at least one BAM file") finally: shutil.rmtree(out_dir) def test_i5_reverse_complement_3bc_demux(self): """ Test 3-barcode demultiplexing when i5 barcode requires reverse complement. This is a regression test for issue #133. Scenario: - Samplesheet has barcode_2 = GCTAGCTA (forward orientation) - FASTQ headers have barcode_2 = TAGCTAGC (reverse complement) - The function should auto-detect the i5 reverse complement orientation - Demux should succeed using the corrected barcode values Expected behavior: - Auto-detection logs i5 reverse complement match - 3-barcode demultiplexing succeeds - Output BAMs created with correct read counts - No "no_3bc_match" error """ out_dir = tempfile.mkdtemp() try: # Use test files with reverse complement i5 r1_fastq = os.path.join(self.input_dir, 'TestPool1_RC_S4_L001_R1_001.fastq.gz') r2_fastq = os.path.join(self.input_dir, 'TestPool1_RC_S4_L001_R2_001.fastq.gz') samples_rc = os.path.join(self.input_dir, 'samples_3bc_i5_revcomp.tsv') # Verify test input files exist self.assertTrue(os.path.exists(r1_fastq), f"Test FASTQ missing: {r1_fastq}") self.assertTrue(os.path.exists(r2_fastq), f"Test FASTQ missing: {r2_fastq}") self.assertTrue(os.path.exists(samples_rc), f"Test samplesheet missing: {samples_rc}") # Run splitcode demux with i5 reverse complement scenario viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=r1_fastq, fastq_r2=r2_fastq, samplesheet=samples_rc, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Verify expected output BAMs exist (library name format: {sample}.l{library_id}.bam) expected_bams = [ os.path.join(out_dir, 'TestSample1_RC.lL1.bam'), os.path.join(out_dir, 'TestSample2_RC.lL1.bam'), os.path.join(out_dir, 'TestSample3_RC.lL1.bam') ] for bam in expected_bams: self.assertTrue(os.path.exists(bam), f"Expected output BAM missing: {bam}") # Verify read counts using samtools # Note: samtools.count() returns total reads (R1 + R2 for paired-end) samtools = viral_ngs.core.samtools.SamtoolsTool() # TestSample1_RC (AAAAAAAA): should have 2 read pairs = 4 total reads count1 = int(samtools.count(expected_bams[0])) self.assertEqual(count1, 4, "TestSample1_RC should have 2 read pairs (4 total reads)") # TestSample2_RC (CCCCCCCC): should have 2 read pairs = 4 total reads count2 = int(samtools.count(expected_bams[1])) self.assertEqual(count2, 4, "TestSample2_RC should have 2 read pairs (4 total reads)") # TestSample3_RC (GGGGTTTT): should have 1 read pair = 2 total reads count3 = int(samtools.count(expected_bams[2])) self.assertEqual(count3, 2, "TestSample3_RC should have 1 read pair (2 total reads)") # Verify demux metrics exist and indicate success (not "no_3bc_match") metrics_file = os.path.join(out_dir, 'demux_metrics.json') self.assertTrue(os.path.exists(metrics_file)) with open(metrics_file, 'r') as f: metrics = json.load(f) # Should NOT have demux_type of "no_3bc_match" demux_type = metrics.get('demux_type', '') self.assertNotEqual(demux_type, 'no_3bc_match', "Should successfully demux, not fail with no_3bc_match") finally: shutil.rmtree(out_dir) def test_splitcode_demux_3bc_with_n_bases_in_bc2_and_i5_rc(self): """ Test 3-barcode demultiplexing with N bases in barcode_2 AND i5 reverse complement. This is a regression test for a bug where N-wildcard matching failed in the second filtering step for 3-barcode demux. Scenario: - Samplesheet has barcode_2 = ACGTTACGCA (forward orientation) - FASTQ headers have barcode_2 = TGNGTAACGT (reverse complement with N base) - After RC: TGNGTAACGT -> ACGTTACNCA - Should match ACGTTACGCA via N wildcard (N at position 8, 10% N fraction < 50% threshold) Expected behavior: - Auto-detection logs i5 reverse complement match - N-wildcard matching works in BOTH filtering steps (initial match + 3bc filter) - 3-barcode demultiplexing succeeds - Output BAMs created with correct read counts - No "no_3bc_match" or "no_match" error Bug being tested: The code had TWO filtering steps for 3-barcode samples: 1. Initial match via match_barcodes_with_orientation() - uses N-wildcard matching ✓ 2. DataFrame filtering at lines 1094-1098 - used exact match, failed with N ✗ """ out_dir = tempfile.mkdtemp() try: # Use test files with N bases in barcode_2 + reverse complement i5 r1_fastq = os.path.join(self.input_dir, 'TestPool1_N_S5_L001_R1_001.fastq.gz') r2_fastq = os.path.join(self.input_dir, 'TestPool1_N_S5_L001_R2_001.fastq.gz') samples_n = os.path.join(self.input_dir, 'samples_3bc_i5_rc_with_n.tsv') # Verify test input files exist self.assertTrue(os.path.exists(r1_fastq), f"Test FASTQ missing: {r1_fastq}") self.assertTrue(os.path.exists(r2_fastq), f"Test FASTQ missing: {r2_fastq}") self.assertTrue(os.path.exists(samples_n), f"Test samplesheet missing: {samples_n}") # Run splitcode demux with N bases + i5 reverse complement scenario viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=r1_fastq, fastq_r2=r2_fastq, samplesheet=samples_n, outdir=out_dir, runinfo=self.runinfo_xml, threads=1 ) # Verify expected output BAMs exist (library name format: {sample}.l{library_id}.bam) expected_bams = [ os.path.join(out_dir, 'TestSample1_N.lL1.bam'), os.path.join(out_dir, 'TestSample2_N.lL1.bam'), os.path.join(out_dir, 'TestSample3_N.lL1.bam') ] for bam in expected_bams: self.assertTrue(os.path.exists(bam), f"Expected output BAM missing: {bam}") # Verify read counts using samtools # Note: samtools.count() returns total reads (R1 + R2 for paired-end) samtools = viral_ngs.core.samtools.SamtoolsTool() # TestSample1_N (AAAAAAAA): should have 2 read pairs = 4 total reads count1 = int(samtools.count(expected_bams[0])) self.assertEqual(count1, 4, "TestSample1_N should have 2 read pairs (4 total reads)") # TestSample2_N (CCCCCCCC): should have 2 read pairs = 4 total reads count2 = int(samtools.count(expected_bams[1])) self.assertEqual(count2, 4, "TestSample2_N should have 2 read pairs (4 total reads)") # TestSample3_N (GGGGTTTT): should have 1 read pair = 2 total reads count3 = int(samtools.count(expected_bams[2])) self.assertEqual(count3, 2, "TestSample3_N should have 1 read pair (2 total reads)") # Verify demux metrics exist and indicate success (not "no_3bc_match" or "no_match") metrics_file = os.path.join(out_dir, 'demux_metrics.json') self.assertTrue(os.path.exists(metrics_file)) with open(metrics_file, 'r') as f: metrics = json.load(f) # Should NOT have demux_type indicating failure demux_type = metrics.get('demux_type', '') self.assertNotIn('no_3bc_match', demux_type, "Should successfully demux, not fail with no_3bc_match") self.assertNotIn('no_match', demux_type, "Should successfully demux, not fail with no_match") finally: shutil.rmtree(out_dir) def test_no_barcode_match_produces_zero_bams(self): """ Test that when FASTQ barcodes don't match any samplesheet entry, zero BAMs are produced but metrics files are still generated. This tests the behavior change where we emit zero BAMs instead of an empty BAM when there's no barcode match. """ out_dir = tempfile.mkdtemp() try: # Create test FASTQ files with barcodes that don't match the samplesheet # The samplesheet has entries for ATCGATCG+GCTAGCTA, CTGATCGT+TAGATCGC, GGAATTCC+CCGGAATT # We'll use AAAAAAAA+TTTTTTTT which uses valid DNA chars but matches none of them nonmatch_r1 = os.path.join(out_dir, 'NonMatch_S99_L001_R1_001.fastq.gz') nonmatch_r2 = os.path.join(out_dir, 'NonMatch_S99_L001_R2_001.fastq.gz') # Create R1 FASTQ with non-matching barcodes with gzip.open(nonmatch_r1, 'wt') as f: f.write("@TEST001:1:TESTFC01:1:1101:1000:2000 1:N:0:AAAAAAAA+TTTTTTTT\n") f.write("ACGTACGTACGTACGT\n") f.write("+\n") f.write("IIIIIIIIIIIIIIII\n") # Create R2 FASTQ with gzip.open(nonmatch_r2, 'wt') as f: f.write("@TEST001:1:TESTFC01:1:1101:1000:2000 2:N:0:AAAAAAAA+TTTTTTTT\n") f.write("TGCATGCATGCATGCA\n") f.write("+\n") f.write("IIIIIIIIIIIIIIII\n") # Run splitcode_demux_fastqs - should not raise an exception viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=nonmatch_r1, fastq_r2=nonmatch_r2, samplesheet=self.samples_3bc, outdir=out_dir, threads=1 ) # Verify NO BAM files were created (zero BAMs for no match) bam_files = [f for f in os.listdir(out_dir) if f.endswith('.bam')] self.assertEqual(len(bam_files), 0, f"Expected zero BAM files for no barcode match, found: {bam_files}") # Verify metrics files ARE created metrics_file = os.path.join(out_dir, 'demux_metrics.json') self.assertTrue(os.path.exists(metrics_file), "demux_metrics.json should be created even with no match") picard_metrics_file = os.path.join(out_dir, 'demux_metrics_picard-style.txt') self.assertTrue(os.path.exists(picard_metrics_file), "demux_metrics_picard-style.txt should be created even with no match") # Verify metrics indicate no_barcode_match with open(metrics_file, 'r') as f: metrics = json.load(f) demux_type = metrics.get('demux_type', '') self.assertIn('no_barcode_match', demux_type, f"demux_type should indicate no_barcode_match, got: {demux_type}") # Verify read_count is 0 samples = metrics.get('samples', {}) for sample_name, sample_info in samples.items(): self.assertEqual(sample_info.get('read_count'), 0, f"Sample {sample_name} should have 0 reads") finally: shutil.rmtree(out_dir) def test_append_run_id_3bc(self): """ Test that append_run_id=True produces BAM filenames with flowcell and lane. Expected output format: {sample}.l{library_id}.{flowcell}.{lane}.bam Example: TestSample1.lL1.TESTFC01.1.bam """ out_dir = tempfile.mkdtemp() try: viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, append_run_id=True, threads=1 ) # Verify BAM filenames include flowcell and lane # TESTFC01 is the flowcell from RunInfo.xml, lane 1 from FASTQ filename expected_bams = [ os.path.join(out_dir, 'TestSample1.lL1.TESTFC01.1.bam'), os.path.join(out_dir, 'TestSample2.lL1.TESTFC01.1.bam'), os.path.join(out_dir, 'TestSample3.lL1.TESTFC01.1.bam'), ] for bam in expected_bams: self.assertTrue(os.path.exists(bam), f"Expected output BAM missing: {bam}") # Verify read counts samtools = viral_ngs.core.samtools.SamtoolsTool() sample1_pairs = samtools.count(expected_bams[0]) // 2 sample2_pairs = samtools.count(expected_bams[1]) // 2 sample3_pairs = samtools.count(expected_bams[2]) // 2 self.assertEqual(sample1_pairs, 100, "TestSample1 should have 100 read pairs") self.assertEqual(sample2_pairs, 75, "TestSample2 should have 75 read pairs") self.assertEqual(sample3_pairs, 50, "TestSample3 should have 50 read pairs") finally: shutil.rmtree(out_dir) def test_append_run_id_2bc(self): """ Test that append_run_id=True works for 2-barcode samples. Expected output format: {sample}.l{library_id}.{flowcell}.{lane}.bam Example: TestSampleNoSplitcode.lL3.TESTFC01.1.bam """ out_dir = tempfile.mkdtemp() try: # Use Pool 3 files which have 2-barcode sample (no barcode_3) r1_fastq = os.path.join(self.input_dir, 'TestPool3_S3_L001_R1_001.fastq.gz') r2_fastq = os.path.join(self.input_dir, 'TestPool3_S3_L001_R2_001.fastq.gz') viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=r1_fastq, fastq_r2=r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, append_run_id=True, threads=1 ) # Verify BAM filename includes flowcell and lane expected_bam = os.path.join(out_dir, 'TestSampleNoSplitcode.lL3.TESTFC01.1.bam') self.assertTrue(os.path.exists(expected_bam), f"Expected output BAM missing: {expected_bam}") # Verify all 80 reads are in the output BAM samtools = viral_ngs.core.samtools.SamtoolsTool() read_pairs = samtools.count(expected_bam) // 2 self.assertEqual(read_pairs, 80, "All 80 read pairs should be present") finally: shutil.rmtree(out_dir) def test_append_run_id_requires_flowcell(self): """ Test that append_run_id=True without flowcell raises ValueError. """ out_dir = tempfile.mkdtemp() try: with self.assertRaises(ValueError) as context: viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, # No runinfo and no flowcell_id append_run_id=True, threads=1 ) self.assertIn('flowcell', str(context.exception).lower(), "Error should mention flowcell requirement") finally: shutil.rmtree(out_dir) def test_splitcode_demux_fastqs_metadata_output(self): """ Test that splitcode_demux_fastqs generates metadata JSON files when requested. Verifies: - meta_by_sample.json is created when --out_meta_by_sample is provided - meta_by_filename.json is created when --out_meta_by_filename is provided - Both JSONs contain the expected sample metadata structure """ out_dir = tempfile.mkdtemp() try: out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, append_run_id=True, out_meta_by_sample=out_meta_by_sample, out_meta_by_filename=out_meta_by_filename, threads=1 ) # Verify both JSON files are created self.assertTrue(os.path.exists(out_meta_by_sample), "meta_by_sample.json should be created") self.assertTrue(os.path.exists(out_meta_by_filename), "meta_by_filename.json should be created") # Verify meta_by_sample.json structure with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) # Should have entries for matched samples self.assertIsInstance(meta_by_sample, dict) self.assertGreater(len(meta_by_sample), 0, "meta_by_sample should have entries") # Each entry should have required fields for sample_name, metadata in meta_by_sample.items(): self.assertIn('sample', metadata) self.assertIn('lane', metadata) self.assertIn('run', metadata) # Verify meta_by_filename.json structure with open(out_meta_by_filename, 'r') as f: meta_by_filename = json.load(f) self.assertIsInstance(meta_by_filename, dict) self.assertGreater(len(meta_by_filename), 0, "meta_by_filename should have entries") finally: shutil.rmtree(out_dir) def test_splitcode_demux_fastqs_metadata_lane_from_fastq(self): """ Test that metadata lane field uses actual lane from FASTQ filename. This is the critical fix: the lane value should come from the FASTQ filename (e.g., L001 -> lane=1) and NOT be a default value like 0. Test FASTQ: TestPool1_S1_L001_R1_001.fastq.gz (lane=1) """ out_dir = tempfile.mkdtemp() try: out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, # TestPool1_S1_L001_R1_001.fastq.gz fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, append_run_id=True, out_meta_by_sample=out_meta_by_sample, threads=1 ) with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) # All samples should have lane=1 (from L001 in filename) for sample_name, metadata in meta_by_sample.items(): self.assertEqual(metadata['lane'], '1', f"Sample {sample_name} lane should be '1' from FASTQ filename, not '0'") finally: shutil.rmtree(out_dir) def test_splitcode_demux_fastqs_metadata_run_matches_bam(self): """ Test that metadata 'run' field matches BAM filenames when append_run_id=True. This is the core fix for the metadata mismatch bug: - BAM filename: {sample}.l{library_id}.{flowcell}.{lane}.bam - Metadata 'run' field should match: {sample}.l{library_id}.{flowcell}.{lane} The metadata 'run' field is used as the key in meta_by_filename.json. """ out_dir = tempfile.mkdtemp() try: out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=self.r1_fastq, fastq_r2=self.r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, append_run_id=True, out_meta_by_filename=out_meta_by_filename, threads=1 ) with open(out_meta_by_filename, 'r') as f: meta_by_filename = json.load(f) # Get list of output BAMs bam_files = [f for f in os.listdir(out_dir) if f.endswith('.bam')] self.assertGreater(len(bam_files), 0, "Should have output BAMs") # For each BAM, verify there's a matching metadata entry for bam_file in bam_files: bam_basename = bam_file.replace('.bam', '') self.assertIn(bam_basename, meta_by_filename, f"meta_by_filename should have key matching BAM basename: {bam_basename}") finally: shutil.rmtree(out_dir) def test_splitcode_demux_fastqs_2bc_metadata(self): """ Test metadata generation for 2-barcode samples (bypass splitcode path). 2-barcode samples skip splitcode and go directly to FASTQ→BAM conversion. Metadata should still be generated correctly with proper lane values. """ out_dir = tempfile.mkdtemp() try: # Use 2-barcode sample FASTQs r1_fastq = os.path.join(self.input_dir, 'TestPool3_S3_L001_R1_001.fastq.gz') r2_fastq = os.path.join(self.input_dir, 'TestPool3_S3_L001_R2_001.fastq.gz') # Skip if test files don't exist if not os.path.exists(r1_fastq) or not os.path.exists(r2_fastq): self.skipTest("2-barcode test FASTQs not available") out_meta_by_sample = os.path.join(out_dir, 'meta_by_sample.json') out_meta_by_filename = os.path.join(out_dir, 'meta_by_filename.json') viral_ngs.illumina.splitcode_demux_fastqs( fastq_r1=r1_fastq, fastq_r2=r2_fastq, samplesheet=self.samples_3bc, outdir=out_dir, runinfo=self.runinfo_xml, append_run_id=True, out_meta_by_sample=out_meta_by_sample, out_meta_by_filename=out_meta_by_filename, threads=1 ) # Verify metadata files are created for 2-barcode case self.assertTrue(os.path.exists(out_meta_by_sample), "meta_by_sample.json should be created for 2-barcode samples") self.assertTrue(os.path.exists(out_meta_by_filename), "meta_by_filename.json should be created for 2-barcode samples") # Verify lane is correct with open(out_meta_by_sample, 'r') as f: meta_by_sample = json.load(f) for sample_name, metadata in meta_by_sample.items(): self.assertEqual(metadata['lane'], '1', "Lane should be '1' from FASTQ filename") finally: shutil.rmtree(out_dir) class TestMergeDemuxMetrics(TestCaseWithTmp): """ Test suite for merge_demux_metrics entry point. Regression tests for issue #127 CLI argument parsing. """ def test_merge_demux_metrics_via_parser(self): """ Test merge_demux_metrics command via argument parser. This tests the full CLI code path including: - Parser argument processing - Argument validation - Main function invocation Regression test for issue #127 where split_args=True caused TypeError with main_merge_demux_metrics(args) signature. """ # Get test input files test_dir = viral_ngs.core.file.get_test_path() input1 = os.path.join(test_dir, 'input', 'TestIlluminaBarcodeHelper', 'single_index', 'metrics.txt') input2 = os.path.join(test_dir, 'input', 'TestIlluminaBarcodeHelper', 'one_correction', 'metrics.txt') self.assertTrue(os.path.exists(input1), f"Test input missing: {input1}") self.assertTrue(os.path.exists(input2), f"Test input missing: {input2}") out_file = viral_ngs.core.file.mkstempfname('.txt') try: # Call via parser (like CLI does) parser = viral_ngs.illumina.parser_merge_demux_metrics(argparse.ArgumentParser()) args = parser.parse_args([input1, input2, out_file]) args.func_main(args) # Verify output file was created self.assertTrue(os.path.exists(out_file), "Merged metrics file should be created") # Verify it has content with open(out_file, 'r') as f: content = f.read() self.assertGreater(len(content), 0, "Merged file should have content") finally: if os.path.exists(out_file): os.remove(out_file) ================================================ FILE: tests/unit/core/test_read_utils.py ================================================ # Unit tests for read_utils.py __author__ = "irwin@broadinstitute.org" import unittest import argparse import filecmp import os import glob import platform import pysam import viral_ngs.read_utils import shutil import tempfile import viral_ngs.core import viral_ngs.core.bwa import viral_ngs.core.samtools from tests import TestCaseWithTmp, assert_equal_bam_reads # Skip tests requiring x86-only tools on ARM platforms IS_ARM = platform.machine() in ('arm64', 'aarch64') SKIP_X86_ONLY_REASON = "Requires x86-only bioconda package (not available on ARM)" class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in viral_ngs.read_utils.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() class TestBwamemIdxstats(TestCaseWithTmp): def setUp(self): TestCaseWithTmp.setUp(self) self.tempDir = tempfile.mkdtemp() self.ebolaRef = viral_ngs.core.file.mkstempfname('.fasta', directory=self.tempDir) shutil.copyfile(os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.fasta'), self.ebolaRef) self.bwa = viral_ngs.core.bwa.Bwa() self.samtools = viral_ngs.core.samtools.SamtoolsTool() self.bwa.index(self.ebolaRef) def test_bwamem_idxstats(self): inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') outBam = viral_ngs.core.file.mkstempfname('.bam', directory=self.tempDir) outStats = viral_ngs.core.file.mkstempfname('.stats.txt', directory=self.tempDir) viral_ngs.read_utils.bwamem_idxstats(inBam, self.ebolaRef, outBam, outStats) with open(outStats, 'rt') as inf: actual_count = int(inf.readline().strip().split('\t')[2]) self.assertEqual(actual_count, self.samtools.count(outBam, opts=['-F', '4'])) self.assertGreater(actual_count, 18000) def test_bwamem_idxstats_with_filtering(self): inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') outBam = viral_ngs.core.file.mkstempfname('.bam', directory=self.tempDir) outStats = viral_ngs.core.file.mkstempfname('.stats.txt', directory=self.tempDir) viral_ngs.read_utils.bwamem_idxstats(inBam, self.ebolaRef, outBam, outStats, filterReadsAfterAlignment=True) with open(outStats, 'rt') as inf: actual_count = int(inf.readline().strip().split('\t')[2]) self.assertEqual(actual_count, self.samtools.count(outBam, opts=['-F', '4'])) self.assertLess(actual_count, 18000) outBamNoFiltering = viral_ngs.core.file.mkstempfname('.bam', directory=self.tempDir) outStatsNoFiltering = viral_ngs.core.file.mkstempfname('.stats.txt', directory=self.tempDir) viral_ngs.read_utils.bwamem_idxstats(inBam, self.ebolaRef, outBamNoFiltering, outStatsNoFiltering, filterReadsAfterAlignment=False) with open(outStatsNoFiltering, 'rt') as inf: count_without_filtering = int(inf.readline().strip().split('\t')[2]) # the filtered count should be less than the count without filtering self.assertLess(actual_count, count_without_filtering) def test_bwamem_idxstats_no_bam_output(self): inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') outStats = viral_ngs.core.file.mkstempfname('.stats.txt', directory=self.tempDir) viral_ngs.read_utils.bwamem_idxstats(inBam, self.ebolaRef, None, outStats) with open(outStats, 'rt') as inf: actual_count = int(inf.readline().strip().split('\t')[2]) self.assertGreater(actual_count, 18000) class TestMinimap2Idxstats(TestCaseWithTmp): """Tests for the minimap2_idxstats command with new PAF-based implementation.""" def setUp(self): TestCaseWithTmp.setUp(self) self.tempDir = tempfile.mkdtemp() self.ebolaRef = viral_ngs.core.file.mkstempfname('.fasta', directory=self.tempDir) shutil.copyfile(os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.fasta'), self.ebolaRef) def test_minimap2_idxstats(self): """Test basic minimap2_idxstats with new signature (no outBam parameter).""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') outStats = viral_ngs.core.file.mkstempfname('.stats.txt', directory=self.tempDir) # New signature: minimap2_idxstats(inBam, refFasta, outStats, outReadlist=None, threads=None) viral_ngs.read_utils.minimap2_idxstats(inBam, self.ebolaRef, outStats) with open(outStats, 'rt') as inf: actual_count = int(inf.readline().strip().split('\t')[2]) self.assertGreater(actual_count, 18000) def test_minimap2_idxstats_with_readlist(self): """Test minimap2_idxstats with optional readlist output.""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') outStats = viral_ngs.core.file.mkstempfname('.stats.txt', directory=self.tempDir) outReadlist = viral_ngs.core.file.mkstempfname('.readlist.txt', directory=self.tempDir) viral_ngs.read_utils.minimap2_idxstats(inBam, self.ebolaRef, outStats, outReadlist=outReadlist) # Verify stats file with open(outStats, 'rt') as inf: stats_count = int(inf.readline().strip().split('\t')[2]) self.assertGreater(stats_count, 18000) # Verify readlist file with open(outReadlist, 'rt') as inf: read_ids = [line.strip() for line in inf if line.strip()] self.assertGreater(len(read_ids), 0) # All read IDs should be unique self.assertEqual(len(read_ids), len(set(read_ids))) # Readlist contains unique read pairs (~half of stats count for paired-end data) self.assertGreater(len(read_ids), 9000) class TestFastqBam(TestCaseWithTmp): 'Class for testing fastq <-> bam conversions' def test_fastq_bam(self): import pysam myInputDir = viral_ngs.core.file.get_test_input_path(self) # Define file names inFastq1 = os.path.join(myInputDir, 'in1.fastq') inFastq2 = os.path.join(myInputDir, 'in2.fastq') inHeader = os.path.join(myInputDir, 'inHeader.txt') expected1_7Sam = os.path.join(myInputDir, 'expected.java1_7.sam') outBamCmd = viral_ngs.core.file.mkstempfname('.bam') outBamTxt = viral_ngs.core.file.mkstempfname('.bam') # in1.fastq, in2.fastq -> out.bam; header params from command-line # Note: --JVMmemory is kept for backwards compatibility but ignored with samtools parser = viral_ngs.read_utils.parser_fastq_to_bam(argparse.ArgumentParser()) args = parser.parse_args([inFastq1, inFastq2, outBamCmd, '--sampleName', 'FreeSample', '--JVMmemory', '1g', '--picardOptions', 'LIBRARY_NAME=Alexandria', 'PLATFORM=9.75', 'SEQUENCING_CENTER=KareemAbdul-Jabbar',]) args.func_main(args) # Verify BAM was created with reads samtools = viral_ngs.core.samtools.SamtoolsTool() self.assertEqual(samtools.count(outBamCmd), 2) # Verify RG tags match expected values with pysam.AlignmentFile(outBamCmd, 'rb', check_sq=False) as bam: rg_list = bam.header.get('RG', []) self.assertEqual(len(rg_list), 1) rg = rg_list[0] self.assertEqual(rg.get('SM'), 'FreeSample') self.assertEqual(rg.get('LB'), 'Alexandria') self.assertEqual(rg.get('PL'), '9.75') self.assertEqual(rg.get('CN'), 'KareemAbdul-Jabbar') # Verify reads match expected (flags and sequences) assert_equal_bam_reads(self, outBamCmd, expected1_7Sam) # Test with header file parser = viral_ngs.read_utils.parser_fastq_to_bam(argparse.ArgumentParser()) args = parser.parse_args([inFastq1, inFastq2, outBamTxt, '--header', inHeader]) args.func_main(args) # Verify header was replaced correctly with pysam.AlignmentFile(outBamTxt, 'rb', check_sq=False) as bam: rg_list = bam.header.get('RG', []) self.assertEqual(len(rg_list), 1) rg = rg_list[0] # Values should come from inHeader.txt self.assertEqual(rg.get('SM'), 'txtSample') self.assertEqual(rg.get('LB'), 'txtLib') self.assertEqual(rg.get('PL'), 'txtPlatform') self.assertEqual(rg.get('CN'), 'txtCenter') self.assertEqual(rg.get('DT'), '2014-11-10') def test_fastq_to_bam_empty_inputs(self): """Test that fastq_to_bam handles empty FASTQ files correctly. Empty FASTQ inputs should produce a valid BAM file with: - A proper BAM header (non-zero file size) - Zero reads (SamtoolsTool.isEmpty should return True) - Readable by samtools (no corruption) """ # Create empty FASTQ files emptyFastq1 = viral_ngs.core.file.mkstempfname('.fastq') emptyFastq2 = viral_ngs.core.file.mkstempfname('.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') # Create zero-byte FASTQ files open(emptyFastq1, 'w').close() open(emptyFastq2, 'w').close() # Convert empty FASTQs to BAM (should now succeed with defensive code) viral_ngs.read_utils.fastq_to_bam( emptyFastq1, emptyFastq2, outBam, sampleName='EmptySample', picardOptions=['LIBRARY_NAME=EmptyLibrary'] ) # Verify the BAM file was created self.assertTrue(os.path.exists(outBam), "Output BAM file should exist") # Verify the BAM file is non-zero (contains header) bam_size = os.path.getsize(outBam) self.assertGreater(bam_size, 0, "BAM file should be non-zero (contains header)") # Verify the BAM file is empty (no reads) using SamtoolsTool samtools = viral_ngs.core.samtools.SamtoolsTool() self.assertTrue(samtools.isEmpty(outBam), "BAM should be empty (no reads)") # Verify the BAM file has zero reads via count read_count = samtools.count(outBam) self.assertEqual(read_count, 0, "BAM should contain zero reads") # Verify the BAM file is readable (has valid header) header_file = viral_ngs.core.file.mkstempfname('.txt') samtools.dumpHeader(outBam, header_file) header_size = os.path.getsize(header_file) self.assertGreater(header_size, 0, "BAM header should be non-empty") class TestRmdupUnaligned(TestCaseWithTmp): @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_mvicuna_canned_input(self): samtools = viral_ngs.core.samtools.SamtoolsTool() input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'input.bam') expected_bam = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'expected.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") viral_ngs.read_utils.rmdup_mvicuna_bam( input_bam, output_bam ) self.assertEqual(samtools.count(output_bam), samtools.count(expected_bam)) @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_mvicuna_empty_input(self): samtools = viral_ngs.core.samtools.SamtoolsTool() empty_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") viral_ngs.read_utils.rmdup_mvicuna_bam( empty_bam, output_bam ) self.assertEqual(samtools.count(output_bam), 0) @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_cdhit_canned_input(self): samtools = viral_ngs.core.samtools.SamtoolsTool() input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'input.bam') expected_bam = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'expected.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") viral_ngs.read_utils.rmdup_cdhit_bam( input_bam, output_bam ) self.assertEqual(samtools.count(output_bam), 1772) @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_cdhit_empty_input(self): samtools = viral_ngs.core.samtools.SamtoolsTool() empty_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") viral_ngs.read_utils.rmdup_cdhit_bam( empty_bam, output_bam ) self.assertEqual(samtools.count(output_bam), 0) class TestReadIdStore(TestCaseWithTmp): """Tests for ReadIdStore SQLite-backed read ID storage.""" def test_add_from_fastq_paired(self): """Test adding read IDs from paired-end interleaved FASTQ.""" # Create a test FASTQ with paired reads fastq_path = viral_ngs.core.file.mkstempfname('.fastq') with open(fastq_path, 'wt') as f: # Write 3 read pairs (6 entries, but only 3 unique IDs) for i in range(3): f.write('@read{}/1\nACGT\n+\nIIII\n'.format(i)) f.write('@read{}/2\nACGT\n+\nIIII\n'.format(i)) db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: added = store.add_from_fastq(fastq_path) self.assertEqual(added, 3) # 3 unique read IDs self.assertEqual(len(store), 3) def test_add_from_fastq_single_end(self): """Test adding read IDs from single-end FASTQ.""" fastq_path = viral_ngs.core.file.mkstempfname('.fastq') with open(fastq_path, 'wt') as f: for i in range(5): f.write('@read{}\nACGT\n+\nIIII\n'.format(i)) db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: added = store.add_from_fastq(fastq_path) self.assertEqual(added, 5) self.assertEqual(len(store), 5) def test_deduplication(self): """Test that duplicate read IDs are ignored.""" fastq_path = viral_ngs.core.file.mkstempfname('.fastq') with open(fastq_path, 'wt') as f: # Write same read ID multiple times for _ in range(10): f.write('@duplicate_read\nACGT\n+\nIIII\n') db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.add_from_fastq(fastq_path) self.assertEqual(len(store), 1) # Only 1 unique ID def test_write_to_file(self): """Test writing read IDs to file.""" fastq_path = viral_ngs.core.file.mkstempfname('.fastq') with open(fastq_path, 'wt') as f: for i in range(5): f.write('@read{}\nACGT\n+\nIIII\n'.format(i)) db_path = viral_ngs.core.file.mkstempfname('.db') out_path = viral_ngs.core.file.mkstempfname('.txt') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.add_from_fastq(fastq_path) written = store.write_to_file(out_path) self.assertEqual(written, 5) # Verify file contents with open(out_path, 'rt') as f: lines = [line.strip() for line in f] self.assertEqual(len(lines), 5) self.assertEqual(set(lines), {'read0', 'read1', 'read2', 'read3', 'read4'}) def test_write_to_file_with_downsampling(self): """Test random downsampling when writing to file.""" fastq_path = viral_ngs.core.file.mkstempfname('.fastq') with open(fastq_path, 'wt') as f: for i in range(100): f.write('@read{}\nACGT\n+\nIIII\n'.format(i)) db_path = viral_ngs.core.file.mkstempfname('.db') out_path = viral_ngs.core.file.mkstempfname('.txt') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.add_from_fastq(fastq_path) self.assertEqual(len(store), 100) written = store.write_to_file(out_path, max_reads=20) self.assertEqual(written, 20) # Verify file has exactly 20 lines with open(out_path, 'rt') as f: lines = [line.strip() for line in f] self.assertEqual(len(lines), 20) def test_empty_fastq(self): """Test handling of empty FASTQ file.""" fastq_path = viral_ngs.core.file.mkstempfname('.fastq') with open(fastq_path, 'wt') as f: pass # Empty file db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: added = store.add_from_fastq(fastq_path) self.assertEqual(added, 0) self.assertEqual(len(store), 0) def test_add_single(self): """Test adding a single read ID.""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: self.assertTrue(store.add('read1')) self.assertEqual(len(store), 1) # Adding same ID again should return False self.assertFalse(store.add('read1')) self.assertEqual(len(store), 1) # Adding different ID should work self.assertTrue(store.add('read2')) self.assertEqual(len(store), 2) def test_extend(self): """Test adding multiple read IDs efficiently.""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: # Add from a list added = store.extend(['read1', 'read2', 'read3']) self.assertEqual(added, 3) self.assertEqual(len(store), 3) # Add with some duplicates added = store.extend(['read3', 'read4', 'read5']) self.assertEqual(added, 2) # Only read4 and read5 are new self.assertEqual(len(store), 5) def test_extend_generator(self): """Test extend with a generator (O(1) memory).""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: # Use a generator expression added = store.extend('read{}'.format(i) for i in range(100)) self.assertEqual(added, 100) self.assertEqual(len(store), 100) def test_contains(self): """Test membership testing with 'in' operator.""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(['read1', 'read2', 'read3']) self.assertIn('read1', store) self.assertIn('read2', store) self.assertNotIn('read4', store) def test_iter(self): """Test iteration over read IDs in insertion order.""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(['read3', 'read1', 'read2']) # Should iterate in insertion order result = list(store) self.assertEqual(result, ['read3', 'read1', 'read2']) def test_delitem(self): """Test deleting read IDs with del operator.""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(['read1', 'read2', 'read3']) self.assertEqual(len(store), 3) del store['read2'] self.assertEqual(len(store), 2) self.assertNotIn('read2', store) self.assertIn('read1', store) self.assertIn('read3', store) # Deleting non-existent ID should raise KeyError with self.assertRaises(KeyError): del store['nonexistent'] def test_discard(self): """Test discard method (no error if absent).""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(['read1', 'read2']) store.discard('read1') self.assertEqual(len(store), 1) self.assertNotIn('read1', store) # Discarding non-existent ID should not raise store.discard('nonexistent') # Should not raise self.assertEqual(len(store), 1) def test_shrink_to_subsample_basic(self): """Test shrink_to_subsample reduces store to n elements.""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: # Add 100 read IDs original_ids = set('read{}'.format(i) for i in range(100)) store.extend(original_ids) self.assertEqual(len(store), 100) # Shrink to 25 store.shrink_to_subsample(25) self.assertEqual(len(store), 25) # All remaining IDs should be from original set remaining = set(store) self.assertTrue(remaining.issubset(original_ids)) def test_shrink_to_subsample_larger_than_store(self): """Test shrink_to_subsample with n >= store size does nothing.""" db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(['read{}'.format(i) for i in range(50)]) self.assertEqual(len(store), 50) # Request 100, but only have 50 store.shrink_to_subsample(100) self.assertEqual(len(store), 50) # Unchanged def test_shrink_to_subsample_randomness(self): """Test that shrink_to_subsample produces different results on repeated calls.""" original_ids = ['read{}'.format(i) for i in range(100)] # Create two stores and subsample each db_path1 = viral_ngs.core.file.mkstempfname('.db') db_path2 = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path1) as store1: store1.extend(original_ids) store1.shrink_to_subsample(10) result1 = set(store1) with viral_ngs.read_utils.ReadIdStore(db_path2) as store2: store2.extend(original_ids) store2.shrink_to_subsample(10) result2 = set(store2) # Very unlikely to be identical (1 in C(100,10) chance) # We allow this test to pass even if they match, just check both are valid self.assertEqual(len(result1), 10) self.assertEqual(len(result2), 10) def test_filter_bam_by_ids_include(self): """Test filter_bam_by_ids with include=True keeps only matching reads.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() # Get some read names from the input BAM read_names = set() with pysam.AlignmentFile(input_bam, 'rb', check_sq=False) as bam: for i, read in enumerate(bam): if i < 10: # Get first 10 reads (5 pairs) read_names.add(read.query_name) else: break db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(read_names) store.filter_bam_by_ids(input_bam, output_bam, include=True) # Output should have exactly len(read_names) * 2 reads (paired-end) output_count = samtools.count(output_bam) self.assertEqual(output_count, len(read_names) * 2) def test_filter_bam_by_ids_exclude(self): """Test filter_bam_by_ids with include=False excludes matching reads.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() input_count = samtools.count(input_bam) # Get some read names from the input BAM read_names = set() with pysam.AlignmentFile(input_bam, 'rb', check_sq=False) as bam: for i, read in enumerate(bam): if i < 10: # Get first 10 reads (5 pairs) read_names.add(read.query_name) else: break db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(read_names) store.filter_bam_by_ids(input_bam, output_bam, include=False) # Output should have input_count - (len(read_names) * 2) reads output_count = samtools.count(output_bam) expected = input_count - (len(read_names) * 2) self.assertEqual(output_count, expected) def test_filter_bam_by_ids_header_preserved(self): """Test that BAM headers are semantically equivalent after filtering.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') output_bam = viral_ngs.core.file.mkstempfname('.bam') # Get some read names read_names = set() with pysam.AlignmentFile(input_bam, 'rb', check_sq=False) as bam: for i, read in enumerate(bam): if i < 5: read_names.add(read.query_name) else: break db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(read_names) store.filter_bam_by_ids(input_bam, output_bam, include=True) # Compare headers with pysam.AlignmentFile(input_bam, 'rb', check_sq=False) as inb: input_header = inb.header with pysam.AlignmentFile(output_bam, 'rb', check_sq=False) as outb: output_header = outb.header # Check header keys match self.assertEqual(set(input_header.keys()), set(output_header.keys())) # Check RG entries preserved if 'RG' in input_header: self.assertEqual(input_header['RG'], output_header['RG']) # Check HD header preserved if 'HD' in input_header: self.assertEqual(dict(input_header['HD']), dict(output_header['HD'])) def test_filter_bam_by_ids_empty_input(self): """Test filter_bam_by_ids handles empty input BAM.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') output_bam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: store.extend(['read1', 'read2']) store.filter_bam_by_ids(input_bam, output_bam, include=True) self.assertEqual(samtools.count(output_bam), 0) def test_filter_bam_by_ids_empty_store_include(self): """Test include mode with empty store produces empty BAM with header.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: # Empty store store.filter_bam_by_ids(input_bam, output_bam, include=True) # Output should have 0 reads self.assertEqual(samtools.count(output_bam), 0) # But should have valid header with pysam.AlignmentFile(output_bam, 'rb', check_sq=False) as bam: self.assertIsNotNone(bam.header) def test_filter_bam_by_ids_empty_store_exclude(self): """Test exclude mode with empty store keeps all reads.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() input_count = samtools.count(input_bam) db_path = viral_ngs.core.file.mkstempfname('.db') with viral_ngs.read_utils.ReadIdStore(db_path) as store: # Empty store store.filter_bam_by_ids(input_bam, output_bam, include=False) # Output should have all input reads self.assertEqual(samtools.count(output_bam), input_count) class TestRmdupBbnorm(TestCaseWithTmp): """Tests for rmdup_bbnorm_bam using BBNorm for deduplication/normalization.""" def setUp(self): super(TestRmdupBbnorm, self).setUp() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_bbnorm_canned_input(self): """Test rmdup_bbnorm_bam with standard paired-end input.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") # Use low memory and single thread for CI compatibility viral_ngs.read_utils.rmdup_bbnorm_bam(input_bam, output_bam, threads=1, memory='250m') # Output should have reads and be <= input count input_count = self.samtools.count(input_bam) output_count = self.samtools.count(output_bam) self.assertGreater(output_count, 0) self.assertLessEqual(output_count, input_count) def test_bbnorm_empty_input(self): """Test rmdup_bbnorm_bam handles empty BAM.""" empty_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") # Empty input doesn't call bbnorm, so no need for memory/threads viral_ngs.read_utils.rmdup_bbnorm_bam(empty_bam, output_bam) self.assertEqual(self.samtools.count(output_bam), 0) def test_bbnorm_multi_library(self): """Test rmdup_bbnorm_bam with multiple libraries/read groups.""" # G5012.3.testreads.bam has 18710 reads, 12 RGs, 2 libraries input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") # Use low memory and single thread for CI compatibility viral_ngs.read_utils.rmdup_bbnorm_bam(input_bam, output_bam, threads=1, memory='250m') # Output should have reads input_count = self.samtools.count(input_bam) output_count = self.samtools.count(output_bam) self.assertGreater(output_count, 0) self.assertLessEqual(output_count, input_count) def test_bbnorm_single_end(self): """Test rmdup_bbnorm_bam with single-end reads.""" # in.2libs3rgs.bam has 2850 single-end reads input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestPerSample', 'in.2libs3rgs.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") # Use low memory and single thread for CI compatibility viral_ngs.read_utils.rmdup_bbnorm_bam(input_bam, output_bam, threads=1, memory='250m') # Output should have reads input_count = self.samtools.count(input_bam) output_count = self.samtools.count(output_bam) self.assertGreater(output_count, 0) self.assertLessEqual(output_count, input_count) def test_bbnorm_min_input_reads_skip(self): """Test that min_input_reads skips processing when below threshold.""" # input.bam has 1794 reads, set threshold to 2000 input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") # min_input_reads causes skip, so bbnorm isn't called viral_ngs.read_utils.rmdup_bbnorm_bam(input_bam, output_bam, min_input_reads=2000) # Output should equal input (copied, not processed) input_count = self.samtools.count(input_bam) output_count = self.samtools.count(output_bam) self.assertEqual(output_count, input_count) def test_bbnorm_min_input_reads_process(self): """Test that min_input_reads processes when above threshold.""" # input.bam has 1794 reads, set threshold to 1000 input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") # Use low memory and single thread for CI compatibility viral_ngs.read_utils.rmdup_bbnorm_bam(input_bam, output_bam, min_input_reads=1000, threads=1, memory='250m') # Output should have reads (processing occurred) input_count = self.samtools.count(input_bam) output_count = self.samtools.count(output_bam) self.assertGreater(output_count, 0) self.assertLessEqual(output_count, input_count) def test_bbnorm_max_output_reads_downsample(self): """Test that max_output_reads downsamples the keep-list.""" input_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') output_bam = viral_ngs.core.file.mkstempfname("output.bam") # Set max_output_reads to 500 (less than expected bbnorm output) # Use low memory and single thread for CI compatibility max_output_reads = 500 viral_ngs.read_utils.rmdup_bbnorm_bam(input_bam, output_bam, max_output_reads=max_output_reads, threads=1, memory='250m') # Output should be approximately max_output_reads (tolerance for pairs) output_count = self.samtools.count(output_bam) # For paired reads, we downsample read IDs, so output is ~2x the ID count # Allow some tolerance over exactly 2x expected_max_reads = max_output_reads * 2 + 100 # IDs * 2 reads/pair + tolerance self.assertLessEqual(output_count, expected_max_reads) @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) class TestMvicuna(TestCaseWithTmp): """ Input consists of 3 read pairs. Second read pair is identical to first. Third read pair has same 5' read as first, but different 3' read. What Mvicuna did was create paired output files in which the 2nd read was deleted. It created an empty unpaired output file. Although it initially created the postDupRm pair, it renamed them to the output pair. [IJ:]I have no idea if this is the correct behavior, but test checks that it doesn't change. """ def test_mvicuna(self): tempDir = tempfile.mkdtemp() myInputDir = viral_ngs.core.file.get_test_input_path(self) # Run mvicuna inFastq1 = os.path.join(myInputDir, 'in.1.fastq') inFastq2 = os.path.join(myInputDir, 'in.2.fastq') pairedOutFastq1 = os.path.join(tempDir, 'pairedOut.1.fastq') pairedOutFastq2 = os.path.join(tempDir, 'pairedOut.2.fastq') unpairedOutFastq = os.path.join(tempDir, 'unpairedOut.fastq') viral_ngs.core.mvicuna.MvicunaTool().rmdup( (inFastq1, inFastq2), (pairedOutFastq1, pairedOutFastq2), outUnpaired=unpairedOutFastq) # Compare to expected for filename in ['pairedOut.1.fastq', 'pairedOut.2.fastq', 'unpairedOut.fastq']: self.assertEqualContents(os.path.join(tempDir, filename), os.path.join(myInputDir, 'expected_' + filename)) class TestAlignAndFix(TestCaseWithTmp): def setUp(self): super(TestAlignAndFix, self).setUp() orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebov-makona.fasta') self.refFasta = viral_ngs.core.file.mkstempfname('.ref.fasta') shutil.copyfile(orig_ref, self.refFasta) @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_novoalign(self): self.simple_execution('novoalign') def test_bwa(self): self.simple_execution('bwa') def test_minimap2(self): self.simple_execution('minimap2') def simple_execution(self, aligner): inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBamAll = viral_ngs.core.file.mkstempfname('.outBamAll.bam') outBamFiltered = viral_ngs.core.file.mkstempfname('.outBamFiltered.bam') args = viral_ngs.read_utils.parser_align_and_fix(argparse.ArgumentParser()).parse_args( [inBam, self.refFasta, '--outBamAll', outBamAll, '--outBamFiltered', outBamFiltered, '--aligner', aligner]) args.func_main(args) def test_empty_reads(self): inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') args = viral_ngs.read_utils.parser_align_and_fix(argparse.ArgumentParser()).parse_args( [inBam, self.refFasta, '--aligner', 'minimap2', '--outBamAll', viral_ngs.core.file.mkstempfname('.outBamAll.bam'), '--outBamFiltered', viral_ngs.core.file.mkstempfname('.outBamFiltered.bam')]) args.func_main(args) def test_dup_marker_sambamba(self): """Test using sambamba for duplicate marking""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBamAll = viral_ngs.core.file.mkstempfname('.outBamAll.bam') args = viral_ngs.read_utils.parser_align_and_fix(argparse.ArgumentParser()).parse_args( [inBam, self.refFasta, '--outBamAll', outBamAll, '--aligner', 'minimap2', '--dupMarker', 'sambamba']) args.func_main(args) samtools = viral_ngs.core.samtools.SamtoolsTool() self.assertTrue(os.path.exists(outBamAll)) self.assertFalse(samtools.isEmpty(outBamAll)) def test_dup_marker_picard_explicit(self): """Test explicitly using Picard for duplicate marking""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBamAll = viral_ngs.core.file.mkstempfname('.outBamAll.bam') args = viral_ngs.read_utils.parser_align_and_fix(argparse.ArgumentParser()).parse_args( [inBam, self.refFasta, '--outBamAll', outBamAll, '--aligner', 'minimap2', '--dupMarker', 'picard']) args.func_main(args) samtools = viral_ngs.core.samtools.SamtoolsTool() self.assertTrue(os.path.exists(outBamAll)) self.assertFalse(samtools.isEmpty(outBamAll)) def test_dup_marker_default_is_sambamba(self): """Verify default duplicate marker is sambamba""" parser = viral_ngs.read_utils.parser_align_and_fix(argparse.ArgumentParser()) args = parser.parse_args(['in.bam', 'ref.fasta']) self.assertEqual(args.dup_marker, 'sambamba') def test_align_and_fix_full_sambamba_pipeline(self): """End-to-end test with sambamba for markdup and indexing""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBamAll = viral_ngs.core.file.mkstempfname('.outBamAll.bam') outBamFiltered = viral_ngs.core.file.mkstempfname('.outBamFiltered.bam') args = viral_ngs.read_utils.parser_align_and_fix(argparse.ArgumentParser()).parse_args( [inBam, self.refFasta, '--outBamAll', outBamAll, '--outBamFiltered', outBamFiltered, '--aligner', 'minimap2', '--dupMarker', 'sambamba']) args.func_main(args) samtools = viral_ngs.core.samtools.SamtoolsTool() self.assertTrue(os.path.exists(outBamAll)) self.assertTrue(os.path.exists(outBamFiltered)) self.assertFalse(samtools.isEmpty(outBamAll)) # Verify index files exist self.assertTrue(os.path.exists(outBamAll + '.bai') or os.path.exists(outBamAll.replace('.bam', '.bai'))) class TestDownsampleBams(TestCaseWithTmp): def setUp(self): super(TestDownsampleBams, self).setUp() orig_larger_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') orig_smaller_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.mini.bam') orig_with_dup = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned','input.bam') self.larger_bam = viral_ngs.core.file.mkstempfname('.larger.bam') self.smaller_bam = viral_ngs.core.file.mkstempfname('.smaller.bam') self.with_dups = viral_ngs.core.file.mkstempfname('.with_dups.bam') shutil.copyfile(orig_larger_bam, self.larger_bam) shutil.copyfile(orig_smaller_bam, self.smaller_bam) shutil.copyfile(orig_with_dup, self.with_dups) self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_normalization_to_lowest_cardinality(self): """ Also tests subdir output """ temp_dir = tempfile.mkdtemp() target_count = self.samtools.count(self.smaller_bam) # target count not passed in since we are checking that the count of the smaller file is used viral_ngs.read_utils.main_downsample_bams([self.larger_bam, self.smaller_bam], temp_dir, JVMmemory="1g") output_bams = list(glob.glob(os.path.join(temp_dir, '*.bam'))) self.assertGreater(len(output_bams), 0, msg="No output found") for out_bam in output_bams: self.assertAlmostEqual(self.samtools.count(out_bam), target_count, delta=10, msg="{} not downsampled to the target size: {}".format(os.path.basename(out_bam),target_count)) def test_downsample_to_target_count(self): """ Also tests subdir output """ temp_dir = tempfile.mkdtemp() target_count = 4000 viral_ngs.read_utils.main_downsample_bams([self.larger_bam, self.smaller_bam], temp_dir, specified_read_count=target_count, JVMmemory="1g") output_bams = list(glob.glob(os.path.join(temp_dir, '*.bam'))) self.assertGreater(len(output_bams), 0, msg="No output found") for out_bam in output_bams: self.assertAlmostEqual(self.samtools.count(out_bam), target_count, delta=10, msg="{} not downsampled to the target size: {}".format(os.path.basename(out_bam),target_count)) def test_downsample_to_target_count_without_subdir(self): target_count = 4000 viral_ngs.read_utils.main_downsample_bams([self.larger_bam], out_path=None, specified_read_count=target_count, JVMmemory="1g") output_bams = list(glob.glob(os.path.join(os.path.dirname(self.larger_bam), '*downsampled-*.bam'))) print(output_bams) self.assertGreater(len(output_bams), 0, msg="No output files matching *downsampled-*.bam found") for out_bam in output_bams: self.assertAlmostEqual(self.samtools.count(out_bam), target_count, delta=10, msg="{} not downsampled to the target size: {}".format(os.path.basename(out_bam),target_count)) @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_downsample_with_dedup_after(self): """ Also tests subdir output """ temp_dir = tempfile.mkdtemp() target_count = 1500 viral_ngs.read_utils.main_downsample_bams([self.with_dups], temp_dir, deduplicate_after=True, specified_read_count=target_count, JVMmemory="1g") output_bams = list(glob.glob(os.path.join(temp_dir, '*.bam'))) self.assertGreater(len(output_bams), 0, msg="No output found") for out_bam in output_bams: self.assertLess(self.samtools.count(out_bam), target_count, msg="{} not downsampled to the target size: {}".format(os.path.basename(out_bam),target_count)) @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) def test_downsample_with_dedup_before(self): """ Also tests subdir output """ temp_dir = tempfile.mkdtemp() target_count = 1500 viral_ngs.read_utils.main_downsample_bams([self.with_dups], temp_dir, deduplicate_before=True, specified_read_count=target_count, JVMmemory="1g") output_bams = list(glob.glob(os.path.join(temp_dir, '*.bam'))) self.assertGreater(len(output_bams), 0, msg="No output found") for out_bam in output_bams: self.assertAlmostEqual(self.samtools.count(out_bam), target_count, delta=10, msg="{} not downsampled to the target size: {}".format(os.path.basename(out_bam),target_count)) def test_downsample_to_too_large_target_count(self): """ Should fail """ temp_dir = tempfile.mkdtemp() target_count = 20000 with self.assertRaises(ValueError): viral_ngs.read_utils.main_downsample_bams([self.larger_bam, self.smaller_bam], temp_dir, specified_read_count=target_count, JVMmemory="1g") class TestTrimRmdupSubsamp(TestCaseWithTmp): '''Test the trim_rmdup_subsamp command. Tests ported from viral-assemble/test/unit/test_assembly.py. Uses threads=1 to avoid overwhelming CI runners during parallel test execution. ''' def test_subsamp_empty(self): """Test with empty BAM input - should return all zeros.""" inDir = viral_ngs.core.file.get_test_input_path() inBam = os.path.join(inDir, 'empty.bam') clipDb = os.path.join(inDir, 'TestTrimRmdupSubsamp', 'clipDb.fasta') outBam = viral_ngs.core.file.mkstempfname('.out.bam') read_stats = viral_ngs.read_utils.trim_rmdup_subsamp_reads(inBam, clipDb, outBam, n_reads=10, threads=1) os.unlink(outBam) self.assertEqual(read_stats, (0, 0, 0, 0, 0, 0)) def test_subsamp_small_50(self): """Test subsampling to 50 reads from small input.""" inDir = viral_ngs.core.file.get_test_input_path() inBam = os.path.join(inDir, 'G5012.3.subset.bam') clipDb = os.path.join(inDir, 'TestTrimRmdupSubsamp', 'clipDb.fasta') outBam = viral_ngs.core.file.mkstempfname('.out.bam') read_stats = viral_ngs.read_utils.trim_rmdup_subsamp_reads(inBam, clipDb, outBam, n_reads=50, threads=1) os.unlink(outBam) self.assertEqual(read_stats, (200, 172, 172, 50, 50, 0)) def test_subsamp_small_90(self): """Test subsampling to 90 reads.""" inDir = viral_ngs.core.file.get_test_input_path() inBam = os.path.join(inDir, 'G5012.3.subset.bam') clipDb = os.path.join(inDir, 'TestTrimRmdupSubsamp', 'clipDb.fasta') outBam = viral_ngs.core.file.mkstempfname('.out.bam') read_stats = viral_ngs.read_utils.trim_rmdup_subsamp_reads(inBam, clipDb, outBam, n_reads=90, threads=1) os.unlink(outBam) # counts are individual reads self.assertEqual(read_stats, (200, 172, 172, 90, 90, 0)) def test_subsamp_small_200(self): """Test where unpaired reads are needed to reach threshold.""" inDir = viral_ngs.core.file.get_test_input_path() inBam = os.path.join(inDir, 'G5012.3.subset.bam') clipDb = os.path.join(inDir, 'TestTrimRmdupSubsamp', 'clipDb.fasta') outBam = viral_ngs.core.file.mkstempfname('.out.bam') read_stats = viral_ngs.read_utils.trim_rmdup_subsamp_reads(inBam, clipDb, outBam, n_reads=200, threads=1) os.unlink(outBam) self.assertEqual(read_stats, (200, 172, 172, 185, 172, 13)) def test_subsamp_big_500(self): """Test with larger input file.""" inDir = viral_ngs.core.file.get_test_input_path() inBam = os.path.join(inDir, 'G5012.3.testreads.bam') clipDb = os.path.join(inDir, 'TestTrimRmdupSubsamp', 'clipDb.fasta') outBam = viral_ngs.core.file.mkstempfname('.out.bam') read_stats = viral_ngs.read_utils.trim_rmdup_subsamp_reads(inBam, clipDb, outBam, n_reads=500, threads=1) os.unlink(outBam) self.assertEqual(read_stats, (18710, 16310, 16310, 500, 500, 0)) ================================================ FILE: tests/unit/core/test_tools.py ================================================ # Unit tests for tool installation __author__ = "yesimon@broadinstitute.org" import platform import pytest import viral_ngs.core # Platform detection for x86-only tools IS_ARM = platform.machine() in ('arm64', 'aarch64') # Tool class names that require x86-only bioconda packages X86_ONLY_TOOLS = {'NovoalignTool', 'MvicunaTool'} # Simply do nothing to override stub_conda in conftest.py @pytest.fixture(autouse=True) def stub_conda(): pass @pytest.fixture(params=viral_ngs.core.all_tool_classes()) def tool_class(request): return request.param def test_tool_install(tool_class): if IS_ARM and tool_class.__name__ in X86_ONLY_TOOLS: pytest.skip(f"{tool_class.__name__} requires x86-only bioconda package (not available on ARM)") t = tool_class() t.install() assert t.is_installed() ================================================ FILE: tests/unit/core/test_tools_bbmap.py ================================================ # Unit tests for bbmap aligner and related tools __author__ = "ilya@broadinstitute.org" import unittest import os.path import shutil import viral_ngs.core import viral_ngs.core.bbmap import viral_ngs.core.samtools import pysam from tests import TestCaseWithTmp, assert_md5_equal_to_line_in_file class TestToolBBMap(TestCaseWithTmp): def setUp(self): super(TestToolBBMap, self).setUp() self.bbmap = viral_ngs.core.bbmap.BBMapTool() self.bbmap.install() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_align(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebola.fasta') inRef = viral_ngs.core.file.mkstempfname('.fasta') shutil.copyfile(orig_ref, inRef) reads = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'ebov_reads.bam') outBam = viral_ngs.core.file.mkstempfname('.bam') # Use conservative memory and single thread for CI compatibility # BBMap alignment needs more memory than bbnorm for index building self.bbmap.align(inBam=reads, refFasta=inRef, outBam=outBam, threads=1, Xmx='1g') self.assertTrue(os.path.isfile(outBam)) self.assertTrue(os.path.getsize(outBam)) def test_bbnorm_paired_interleaved(self): """Test bbnorm on paired-end interleaved FASTQ file.""" # Create interleaved FASTQ from TestRmdupUnaligned BAM inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestRmdupUnaligned', 'input.bam') inFastq = viral_ngs.core.file.mkstempfname('.fastq') outFastq = viral_ngs.core.file.mkstempfname('.fastq') # Convert BAM to interleaved FASTQ self.samtools.bam2fq(inBam, inFastq) self.assertGreater(os.path.getsize(inFastq), 0) # Count input reads with open(inFastq, 'rt') as f: input_lines = sum(1 for _ in f) input_reads = input_lines // 4 # Run bbnorm (auto-detects interleaved format) # Use low memory and single thread for CI compatibility with viral_ngs.core.file.tmp_dir('_bbnorm_test') as tmpdir: self.bbmap.bbnorm(inFastq, outFastq, tmpdir=tmpdir, target=50, threads=1, memory='250m') # Verify output exists and has reads self.assertTrue(os.path.isfile(outFastq)) self.assertGreater(os.path.getsize(outFastq), 0) # Count output reads with open(outFastq, 'rt') as f: output_lines = sum(1 for _ in f) output_reads = output_lines // 4 # Output should have reads and be <= input self.assertGreater(output_reads, 0) self.assertLessEqual(output_reads, input_reads) def test_bbnorm_single_end(self): """Test bbnorm on single-end FASTQ file.""" # Create single-end FASTQ from TestPerSample/in.2libs3rgs.bam inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestPerSample', 'in.2libs3rgs.bam') inFastq = viral_ngs.core.file.mkstempfname('.fastq') outFastq = viral_ngs.core.file.mkstempfname('.fastq') # Convert BAM to FASTQ (single-end) self.samtools.bam2fq(inBam, inFastq) self.assertGreater(os.path.getsize(inFastq), 0) # Count input reads with open(inFastq, 'rt') as f: input_lines = sum(1 for _ in f) input_reads = input_lines // 4 # Run bbnorm (auto-detects single-end format) # Use low memory and single thread for CI compatibility with viral_ngs.core.file.tmp_dir('_bbnorm_test') as tmpdir: self.bbmap.bbnorm(inFastq, outFastq, tmpdir=tmpdir, target=50, threads=1, memory='250m') # Verify output exists and has reads self.assertTrue(os.path.isfile(outFastq)) self.assertGreater(os.path.getsize(outFastq), 0) # Count output reads with open(outFastq, 'rt') as f: output_lines = sum(1 for _ in f) output_reads = output_lines // 4 # Output should have reads and be <= input self.assertGreater(output_reads, 0) self.assertLessEqual(output_reads, input_reads) ================================================ FILE: tests/unit/core/test_tools_bwa.py ================================================ # Unit tests for bwa aligner __author__ = "tomkinsc@broadinstitute.org" import os.path import tempfile import subprocess import viral_ngs.core import viral_ngs.core.bwa import viral_ngs.core.samtools from tests import TestCaseWithTmp class TestToolBwa(TestCaseWithTmp): def setUp(self): super(TestToolBwa, self).setUp() self.bwa = viral_ngs.core.bwa.Bwa() self.bwa.install() self.samtools = viral_ngs.core.samtools.SamtoolsTool() self.tempDir = tempfile.mkdtemp() root_input_dir = viral_ngs.core.file.get_test_input_path() ref_fasta = os.path.join(root_input_dir, '5kb_human_from_chr6.fasta') self.database_prefix_path = os.path.join(self.tempDir, "5kb_human_from_chr6") # create bwa db self.bwadb_path = self.bwa.index(ref_fasta, output=self.database_prefix_path) def test_working_bam(self): in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), "TestDepleteHuman", 'test-reads-human.bam') outfile = viral_ngs.core.file.mkstempfname('.bam') self.bwa.mem(in_bam, self.bwadb_path, outfile, options=['-a']) self.assertEqual(self.samtools.count(outfile), 20) os.unlink(outfile) def test_corrupt_bam(self): in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'broken.bam') outfile = viral_ngs.core.file.mkstempfname('.bam') # pipe.poll() should raise an exception self.assertRaises(subprocess.CalledProcessError, self.bwa.mem, in_bam, self.bwadb_path, outfile, options=['-a']) os.unlink(outfile) ================================================ FILE: tests/unit/core/test_tools_fastqc.py ================================================ # Unit tests for viral_ngs.core.fastqc __author__ = "dpark@broadinstitute.org" import unittest import os import zipfile from html.parser import HTMLParser import viral_ngs.core import viral_ngs.core.fastqc from tests import TestCaseWithTmp class HTMLValidator(HTMLParser): """Simple HTML validator to check if HTML can be parsed without errors""" def __init__(self): super().__init__() self.valid = True self.error_msg = None def error(self, message): self.valid = False self.error_msg = message class TestToolFastQC(TestCaseWithTmp): def _validate_html(self, html_path): """Validate that a file contains parseable HTML""" with open(html_path, 'rt') as f: html_content = f.read() parser = HTMLValidator() try: parser.feed(html_content) self.assertTrue(parser.valid, f"HTML parsing failed: {parser.error_msg}") except Exception as e: self.fail(f"HTML parsing raised exception: {e}") def _validate_zip(self, zip_path): """Validate that a file is a valid zip archive""" try: with zipfile.ZipFile(zip_path, 'r') as zf: # testzip() returns None if the archive is valid result = zf.testzip() self.assertIsNone(result, f"ZIP validation failed: {result}") except zipfile.BadZipFile as e: self.fail(f"Invalid ZIP file: {e}") def test_fastqc_nonempty_bam(self): """Test FastQC on a non-empty BAM file""" in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') out_html = viral_ngs.core.file.mkstempfname('.html') out_zip = viral_ngs.core.file.mkstempfname('.zip') fastqc = viral_ngs.core.fastqc.FastQC() fastqc.execute(in_bam, out_html, out_zip=out_zip) # Verify HTML file is created and non-empty self.assertTrue(os.path.exists(out_html), "HTML output file should exist") self.assertGreater(os.path.getsize(out_html), 0, "HTML file should not be empty") # Validate HTML is parseable self._validate_html(out_html) # Verify ZIP file is created and is valid self.assertTrue(os.path.exists(out_zip), "ZIP output file should exist") self.assertGreater(os.path.getsize(out_zip), 0, "ZIP file should not be empty") # Validate ZIP file self._validate_zip(out_zip) # Verify ZIP contains FastQC output files with zipfile.ZipFile(out_zip, 'r') as zf: namelist = zf.namelist() self.assertGreater(len(namelist), 0, "ZIP should contain FastQC output files") def test_fastqc_empty_bam(self): """Test FastQC on an empty BAM file (zero reads)""" in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') out_html = viral_ngs.core.file.mkstempfname('.html') out_zip = viral_ngs.core.file.mkstempfname('.zip') fastqc = viral_ngs.core.fastqc.FastQC() fastqc.execute(in_bam, out_html, out_zip=out_zip) # Verify HTML file is created and non-empty self.assertTrue(os.path.exists(out_html), "HTML output file should exist") self.assertGreater(os.path.getsize(out_html), 0, "HTML file should not be empty") # Validate HTML is parseable self._validate_html(out_html) # Verify HTML contains expected message about empty input with open(out_html, 'rt') as f: html_content = f.read() self.assertIn('zero reads', html_content.lower(), "HTML should mention zero reads") # Verify ZIP file is created and is a valid (empty) zip self.assertTrue(os.path.exists(out_zip), "ZIP output file should exist") # A valid empty zip file should be 22 bytes (zip structure overhead) self.assertEqual(os.path.getsize(out_zip), 22, "Empty ZIP should be 22 bytes (valid zip structure)") # Validate ZIP file self._validate_zip(out_zip) # Verify ZIP has no files (empty) with zipfile.ZipFile(out_zip, 'r') as zf: namelist = zf.namelist() self.assertEqual(len(namelist), 0, "Empty BAM should produce empty ZIP (0 files)") def test_fastqc_without_zip(self): """Test FastQC when --out_zip is not specified""" in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') out_html = viral_ngs.core.file.mkstempfname('.html') fastqc = viral_ngs.core.fastqc.FastQC() fastqc.execute(in_bam, out_html, out_zip=None) # Verify HTML file is created self.assertTrue(os.path.exists(out_html), "HTML output file should exist") self.assertGreater(os.path.getsize(out_html), 0, "HTML file should not be empty") # Validate HTML is parseable self._validate_html(out_html) ================================================ FILE: tests/unit/core/test_tools_minimap2.py ================================================ # Unit tests for minimap2 aligner __author__ = "dpark@broadinstitute.org" import os import os.path import shutil import tempfile import subprocess import viral_ngs.core import viral_ngs.core.minimap2 import viral_ngs.core.samtools from tests import TestCaseWithTmp class TestToolMinimap2(TestCaseWithTmp): def setUp(self): super(TestToolMinimap2, self).setUp() self.mm2 = viral_ngs.core.minimap2.Minimap2() self.samtools = viral_ngs.core.samtools.SamtoolsTool() self.tempDir = tempfile.mkdtemp() root_input_dir = viral_ngs.core.file.get_test_input_path() self.ref_fasta = os.path.join(root_input_dir, '5kb_human_from_chr6.fasta') def test_human_bam(self): in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), "TestDepleteHuman", 'test-reads-human.bam') with viral_ngs.core.file.tempfname('.bam') as outfile: self.mm2.align_bam(in_bam, self.ref_fasta, outfile, options=['-x', 'sr']) self.assertEqual(self.samtools.count(outfile), 20) def test_ebola_bam(self): in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') ref_fasta = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebov-makona.fasta') with viral_ngs.core.file.tempfname('.bam') as outfile: self.mm2.align_bam(in_bam, ref_fasta, outfile) self.assertEqual(self.samtools.count(outfile), 18843) def test_corrupt_bam(self): # pipe.poll() should raise an exception in_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'broken.bam') with viral_ngs.core.file.tempfname('.bam') as outfile: self.assertRaises(subprocess.CalledProcessError, self.mm2.align_bam, in_bam, self.ref_fasta, outfile) class TestMinimap2Idxstats(TestCaseWithTmp): """Tests for the Minimap2.idxstats() method - PAF-based read counting.""" def setUp(self): super(TestMinimap2Idxstats, self).setUp() self.mm2 = viral_ngs.core.minimap2.Minimap2() self.samtools = viral_ngs.core.samtools.SamtoolsTool() self.tempDir = tempfile.mkdtemp() self.root_input_dir = viral_ngs.core.file.get_test_input_path() def test_idxstats_basic(self): """Basic functionality: single reference, verify idxstats format and counts.""" in_bam = os.path.join(self.root_input_dir, 'G5012.3.testreads.bam') ref_fasta = os.path.join(self.root_input_dir, 'ebov-makona.fasta') with viral_ngs.core.file.tempfname('.idxstats.txt') as out_stats: self.mm2.idxstats(in_bam, ref_fasta, out_stats) # Verify file exists and has content self.assertTrue(os.path.isfile(out_stats)) self.assertGreater(os.path.getsize(out_stats), 0) # Parse and validate idxstats format with open(out_stats, 'rt') as f: lines = [line.strip().split('\t') for line in f if line.strip()] # Should have at least one line (the reference sequence) self.assertGreater(len(lines), 0) # Each line should have 4 tab-separated columns for line in lines: self.assertEqual(len(line), 4, f"Expected 4 columns, got {len(line)}: {line}") # First line should be the reference: name, length, mapped, unmapped ref_name, ref_len, mapped_count, unmapped_count = lines[0] self.assertEqual(ref_name, 'KJ660346.2') # ebov-makona reference name self.assertGreater(int(ref_len), 0) self.assertGreater(int(mapped_count), 18000) # Should be close to 18843 self.assertEqual(int(unmapped_count), 0) # Always 0 in our implementation def test_idxstats_with_readlist(self): """Test optional read list output.""" in_bam = os.path.join(self.root_input_dir, 'G5012.3.testreads.bam') ref_fasta = os.path.join(self.root_input_dir, 'ebov-makona.fasta') with viral_ngs.core.file.tempfname('.idxstats.txt') as out_stats: with viral_ngs.core.file.tempfname('.readlist.txt') as out_readlist: self.mm2.idxstats(in_bam, ref_fasta, out_stats, outReadlist=out_readlist) # Verify read list file is created self.assertTrue(os.path.isfile(out_readlist)) self.assertGreater(os.path.getsize(out_readlist), 0) # Parse read list with open(out_readlist, 'rt') as f: read_ids = [line.strip() for line in f if line.strip()] # Should have reads self.assertGreater(len(read_ids), 0) # All read IDs should be unique self.assertEqual(len(read_ids), len(set(read_ids)), "Read list should contain unique read IDs only") # Verify stats count (counts R1 + R2 separately, like samtools idxstats) with open(out_stats, 'rt') as f: first_line = f.readline().strip().split('\t') mapped_count = int(first_line[2]) self.assertGreater(mapped_count, 18000) # Readlist contains unique read pairs (~half of mapped count for paired-end data) self.assertGreater(len(read_ids), 9000) def test_idxstats_no_readlist(self): """Test that readlist output can be skipped (outReadlist=None).""" in_bam = os.path.join(self.root_input_dir, 'G5012.3.testreads.bam') ref_fasta = os.path.join(self.root_input_dir, 'ebov-makona.fasta') with viral_ngs.core.file.tempfname('.idxstats.txt') as out_stats: # Call without readlist self.mm2.idxstats(in_bam, ref_fasta, out_stats, outReadlist=None) # idxstats should still work self.assertTrue(os.path.isfile(out_stats)) with open(out_stats, 'rt') as f: lines = [line.strip().split('\t') for line in f if line.strip()] self.assertGreater(len(lines), 0) def test_idxstats_empty_input(self): """Edge case: empty BAM input should produce zero counts.""" in_bam = os.path.join(self.root_input_dir, 'empty.bam') ref_fasta = os.path.join(self.root_input_dir, 'ebov-makona.fasta') with viral_ngs.core.file.tempfname('.idxstats.txt') as out_stats: self.mm2.idxstats(in_bam, ref_fasta, out_stats) # Should have output with zero counts self.assertTrue(os.path.isfile(out_stats)) with open(out_stats, 'rt') as f: lines = [line.strip().split('\t') for line in f if line.strip()] # Reference should be listed but with 0 mapped count self.assertEqual(len(lines), 1) ref_name, ref_len, mapped_count, unmapped_count = lines[0] self.assertEqual(int(mapped_count), 0) def test_idxstats_empty_reference(self): """Edge case: empty FASTA reference should handle gracefully.""" in_bam = os.path.join(self.root_input_dir, 'G5012.3.testreads.bam') ref_fasta = os.path.join(self.root_input_dir, 'empty.fasta') with viral_ngs.core.file.tempfname('.idxstats.txt') as out_stats: self.mm2.idxstats(in_bam, ref_fasta, out_stats) # Should produce empty output (no references = no lines) self.assertTrue(os.path.isfile(out_stats)) with open(out_stats, 'rt') as f: lines = [line.strip() for line in f if line.strip()] self.assertEqual(len(lines), 0) def test_idxstats_multi_reference(self): """Multi-reference: counts should be correctly separated per reference sequence.""" in_bam = os.path.join(self.root_input_dir, 'TestMinimap2Idxstats', 'multi-viral-reads.bam') ref_fasta = os.path.join(self.root_input_dir, 'TestMinimap2Idxstats', 'multi-viral-refs.fasta') with viral_ngs.core.file.tempfname('.idxstats.txt') as out_stats: self.mm2.idxstats(in_bam, ref_fasta, out_stats) # Parse output with open(out_stats, 'rt') as f: lines = [line.strip().split('\t') for line in f if line.strip()] # Should have 4 references (HCV, Tomato mosaic, Poliovirus, Coxsackievirus) self.assertEqual(len(lines), 4) # Validate format for each line ref_names = [] total_mapped = 0 for line in lines: self.assertEqual(len(line), 4) ref_name, ref_len, mapped_count, unmapped_count = line ref_names.append(ref_name) self.assertGreater(int(ref_len), 0) self.assertGreaterEqual(int(mapped_count), 0) self.assertEqual(int(unmapped_count), 0) total_mapped += int(mapped_count) # Reference names should include our expected sequences expected_refs = ['EU255973.1', 'KJ207374.1', 'AY184220.1', 'KM609478.1'] for expected in expected_refs: self.assertIn(expected, ref_names) ================================================ FILE: tests/unit/core/test_tools_novoalign.py ================================================ # Unit tests for Novoalign aligner __author__ = "dpark@broadinstitute.org" import unittest import os.path import platform import shutil import viral_ngs.core import viral_ngs.core.novoalign import viral_ngs.core.samtools import pysam from tests import TestCaseWithTmp, assert_md5_equal_to_line_in_file # Skip all tests on ARM platforms - novoalign is x86-only (no ARM64 builds in bioconda) IS_ARM = platform.machine() in ('arm64', 'aarch64') SKIP_X86_ONLY_REASON = "novoalign requires x86-only bioconda package (not available on ARM)" @unittest.skipIf(IS_ARM, SKIP_X86_ONLY_REASON) class TestToolNovoalign(TestCaseWithTmp): def setUp(self): super(TestToolNovoalign, self).setUp() self.novoalign = viral_ngs.core.novoalign.NovoalignTool() self.novoalign.install() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_index(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebola.fasta') inRef = viral_ngs.core.file.mkstempfname('.fasta') shutil.copyfile(orig_ref, inRef) self.novoalign.index_fasta(inRef) outfile = inRef[:-6] + '.nix' self.assertTrue(os.path.isfile(outfile)) self.assertTrue(os.path.getsize(outfile)) def test_align(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebola.fasta') inRef = viral_ngs.core.file.mkstempfname('.fasta') shutil.copyfile(orig_ref, inRef) self.novoalign.index_fasta(inRef) reads = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'ebov_reads.bam') outBam = viral_ngs.core.file.mkstempfname('.bam') self.novoalign.execute(reads, inRef, outBam) self.assertTrue(os.path.isfile(outBam)) self.assertTrue(os.path.getsize(outBam)) self.assertTrue(os.path.isfile(outBam[:-1] + 'i')) def test_align_filter(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebola.fasta') inRef = viral_ngs.core.file.mkstempfname('.fasta') shutil.copyfile(orig_ref, inRef) self.novoalign.index_fasta(inRef) reads = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'ebov_reads.bam') outBam = viral_ngs.core.file.mkstempfname('.bam') self.novoalign.execute(reads, inRef, outBam, min_qual=1) self.assertTrue(os.path.isfile(outBam)) self.assertTrue(os.path.getsize(outBam)) self.assertTrue(os.path.isfile(outBam[:-1] + 'i')) def test_multi_read_groups(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.fasta') inRef = viral_ngs.core.file.mkstempfname('.fasta') shutil.copyfile(orig_ref, inRef) self.novoalign.index_fasta(inRef) # align with Novoalign (BAM input, BAM output) reads = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBam = viral_ngs.core.file.mkstempfname('.bam') self.novoalign.execute(reads, inRef, outBam) self.assertTrue(os.path.isfile(outBam)) self.assertTrue(os.path.getsize(outBam)) self.assertTrue(os.path.isfile(outBam[:-1] + 'i')) sam_in = viral_ngs.core.file.mkstempfname('.in.sam') sam_out = viral_ngs.core.file.mkstempfname('.out.sam') self.samtools.view([], reads, sam_in) self.samtools.view([], outBam, sam_out) # assert that all reads are present in output self.assertEqual(self.samtools.count(reads), self.samtools.count(outBam)) # assert that all read groups are described exactly the same # in the output header (not necessarily same order, but same content) orig_rgs = self.samtools.getReadGroups(reads) new_rgs = self.samtools.getReadGroups(outBam) self.assertTrue(len(orig_rgs) > 1) self.assertTrue(len(new_rgs) > 1) for rgid in new_rgs.keys(): self.assertIn(rgid, orig_rgs) orig_rg = orig_rgs[rgid] new_rg = new_rgs[rgid] if 'DT' in orig_rg and 'DT' in new_rg: # don't bother comparing the date because Novoalign seems # to enjoy doing senseless time zone conversions on the # ISO date string del orig_rg['DT'] del new_rg['DT'] self.assertEqual(orig_rgs[rgid], new_rgs[rgid]) # if any RGs are missing, it should be because they were never really there for rgid in orig_rgs.keys(): if rgid not in new_rgs: self.assertEqual(0, self.samtools.count(reads, ['-r', rgid])) # assert that all reads retained their original RG assignments read_to_rg = {} read_seen = set() with open(sam_in, 'rt') as inf: for read in inf: read = read.rstrip('\n').split('\t') tags = [t[5:] for t in read[11:] if t.startswith('RG:Z:')] self.assertTrue(len(tags) == 1) read_to_rg[read[0]] = tags[0] with open(sam_out, 'rt') as inf: for read in inf: read = read.rstrip('\n').split('\t') tags = [t[5:] for t in read[11:] if t.startswith('RG:Z:')] self.assertTrue(len(tags) == 1) self.assertIn(read[0], read_to_rg) self.assertEqual(tags[0], read_to_rg[read[0]]) read_seen.add(read[0]) self.assertEqual(len(read_seen), len(read_to_rg)) # clean up for fn in (sam_in, sam_out, outBam, inRef): os.unlink(fn) def test_multi_read_groups_filter(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.fasta') inRef = viral_ngs.core.file.mkstempfname('.fasta') shutil.copyfile(orig_ref, inRef) self.novoalign.index_fasta(inRef) # align with Novoalign (BAM input, BAM output) reads = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBam = viral_ngs.core.file.mkstempfname('.bam') self.novoalign.execute(reads, inRef, outBam, min_qual=1) self.assertTrue(os.path.isfile(outBam)) self.assertTrue(os.path.getsize(outBam)) self.assertTrue(os.path.isfile(outBam[:-1] + 'i')) ================================================ FILE: tests/unit/core/test_tools_picard.py ================================================ # Unit tests for tools.PicardTools __author__ = "dpark@broadinstitute.org" import unittest import re import os import tempfile import shutil import viral_ngs.core import viral_ngs.core import viral_ngs.core import viral_ngs.core.picard import viral_ngs.core.samtools from tests import TestCaseWithTmp class TestToolPicard(TestCaseWithTmp): def test_fasta_index(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'in.fasta') expected_dict = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'in.dict') picard_index = viral_ngs.core.picard.CreateSequenceDictionaryTool() with open(expected_dict, 'rt') as inf: expected_first3 = [x.strip().split('\t')[:3] for x in inf.readlines()] for ext in ('.fasta', '.fa'): inRef = viral_ngs.core.file.mkstempfname(ext) shutil.copyfile(orig_ref, inRef) outDict = inRef[:-len(ext)] + '.dict' picard_index.execute(inRef, overwrite=True) # the dict files will not be exactly the same, just the first 3 cols with open(outDict, 'rt') as inf: # .replace("VN:1.5","VN:1.4") ==> because the header version may be 1.[4|5|6] actual_first3 = [re.sub(r'VN:1\.[4-6]','VN:1.4',x.strip()).split('\t')[:3] for x in inf.readlines()] self.assertEqual(actual_first3, expected_first3) def test_messy_fasta_index(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'messy-headers.fasta') picard_index = viral_ngs.core.picard.CreateSequenceDictionaryTool() with viral_ngs.core.file.tempfname('.fasta') as inRef: shutil.copyfile(orig_ref, inRef) picard_index.execute(inRef, overwrite=True) with open(inRef[:-6] + '.dict', 'rt') as inf: seqnames = set() for line in inf: if line.startswith('@SQ'): seq_name = dict(x.split(':', maxsplit=1) for x in line.strip().split('\t')[1:])['SN'] # old versions of code cut this off at "Influenza" self.assertGreater(len(seq_name), 50) seqnames.add(seq_name) # require that all sequence names are unique self.assertEqual(len(seqnames), 8) def test_sam_downsample(self): desired_count = 100 tolerance = 0.02 in_sam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') out_bam = viral_ngs.core.file.mkstempfname('.bam') downsamplesam = viral_ngs.core.picard.DownsampleSamTool() samtools = viral_ngs.core.samtools.SamtoolsTool() downsamplesam.downsample_to_approx_count(in_sam, out_bam, desired_count) assert samtools.count(out_bam) in range( int(desired_count - (desired_count * tolerance)), int(desired_count + (desired_count * tolerance))+1 ), "Downsampled bam file does not contain the expected number of reads within tolerance: %s" % tolerance def test_revert_bam_empty_input(self): empty_bam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') out_bam = viral_ngs.core.file.mkstempfname() viral_ngs.core.picard.RevertSamTool().execute( empty_bam, out_bam, picardOptions=['SORT_ORDER=queryname', 'SANITIZE=true'] ) samtools = viral_ngs.core.samtools.SamtoolsTool() assert samtools.count(out_bam) == 0 ================================================ FILE: tests/unit/core/test_tools_sambamba.py ================================================ # Unit tests for viral_ngs.core.sambamba __author__ = "dpark@broadinstitute.org" import unittest import os import tempfile import shutil import pytest import viral_ngs.core import viral_ngs.core import viral_ngs.core.sambamba import viral_ngs.core.samtools from tests import TestCaseWithTmp class TestToolSambamba(TestCaseWithTmp): """Tests for SambambaTool - high-performance BAM processing""" def setUp(self): super().setUp() self.sambamba = viral_ngs.core.sambamba.SambambaTool() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_sambamba_installed(self): """Verify sambamba is installed and accessible""" self.sambamba.install() self.assertTrue(os.path.isfile(self.sambamba.install_and_get_path())) def test_version(self): """Verify version detection works""" self.sambamba.install() version = self.sambamba.version() self.assertIsNotNone(version) self.assertIn('.', version) # Version should contain a dot (e.g., "1.0.1") class TestSambambaSort(TestCaseWithTmp): """Tests for sambamba sort functionality""" def setUp(self): super().setUp() self.sambamba = viral_ngs.core.sambamba.SambambaTool() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_sort_coordinate(self): """Test coordinate sort (default)""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, outBam) # Verify output exists and is non-empty self.assertTrue(os.path.exists(outBam)) self.assertGreater(os.path.getsize(outBam), 0) # Verify read count matches input expected_count = self.samtools.count(inBam) actual_count = self.samtools.count(outBam) self.assertEqual(actual_count, expected_count) def test_sort_queryname(self): """Test queryname sort""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBam = viral_ngs.core.file.mkstempfname('.namesorted.bam') self.sambamba.sort(inBam, outBam, sort_order='queryname') # Verify output exists self.assertTrue(os.path.exists(outBam)) self.assertGreater(os.path.getsize(outBam), 0) # Verify read count is preserved expected_count = self.samtools.count(inBam) actual_count = self.samtools.count(outBam) self.assertEqual(actual_count, expected_count) def test_sort_with_threads(self): """Test multi-threaded sorting""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') outBam = viral_ngs.core.file.mkstempfname('.sorted.bam') # Should work with explicit thread count self.sambamba.sort(inBam, outBam, threads=2) self.assertTrue(os.path.exists(outBam)) expected_count = self.samtools.count(inBam) actual_count = self.samtools.count(outBam) self.assertEqual(actual_count, expected_count) class TestSambambaIndex(TestCaseWithTmp): """Tests for sambamba index functionality""" def setUp(self): super().setUp() self.sambamba = viral_ngs.core.sambamba.SambambaTool() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_index_basic(self): """Test creating .bai index file (not .bam.bai)""" # First, sort the BAM (indexing requires coordinate-sorted BAM) inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') sortedBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, sortedBam) # Now index it self.sambamba.index(sortedBam) # Verify index file was created with .bai (not .bam.bai) indexFile = sortedBam[:-4] + '.bai' # sorted.bai, not sorted.bam.bai self.assertTrue(os.path.exists(indexFile)) self.assertGreater(os.path.getsize(indexFile), 0) # Verify the .bam.bai was NOT left behind self.assertFalse(os.path.exists(sortedBam + '.bai')) def test_index_with_threads(self): """Test multi-threaded indexing""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') sortedBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, sortedBam) self.sambamba.index(sortedBam, threads=2) indexFile = sortedBam[:-4] + '.bai' # sorted.bai, not sorted.bam.bai self.assertTrue(os.path.exists(indexFile)) def test_index_file_exists(self): """Verify .bai file is created in expected location (not .bam.bai)""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') sortedBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, sortedBam) # Remove any existing index files indexFile = sortedBam[:-4] + '.bai' # sorted.bai if os.path.exists(indexFile): os.unlink(indexFile) if os.path.exists(sortedBam + '.bai'): # sorted.bam.bai os.unlink(sortedBam + '.bai') self.sambamba.index(sortedBam) self.assertTrue(os.path.exists(indexFile)) @pytest.mark.skip(reason="sambamba merge is disabled due to segfault bug in sambamba 1.0.1") class TestSambambaMerge(TestCaseWithTmp): """Tests for sambamba merge functionality""" def setUp(self): super().setUp() self.sambamba = viral_ngs.core.sambamba.SambambaTool() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_merge_two_bams(self): """Test merging two BAM files""" # Sort both input BAMs first (merge requires sorted input) inBam1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') inBam2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.mini.bam') sortedBam1 = viral_ngs.core.file.mkstempfname('.sorted1.bam') sortedBam2 = viral_ngs.core.file.mkstempfname('.sorted2.bam') self.sambamba.sort(inBam1, sortedBam1) self.sambamba.sort(inBam2, sortedBam2) outBam = viral_ngs.core.file.mkstempfname('.merged.bam') self.sambamba.merge([sortedBam1, sortedBam2], outBam) # Verify output exists self.assertTrue(os.path.exists(outBam)) self.assertGreater(os.path.getsize(outBam), 0) def test_merge_preserves_reads(self): """Verify read count equals sum of inputs""" inBam1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') inBam2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.mini.bam') sortedBam1 = viral_ngs.core.file.mkstempfname('.sorted1.bam') sortedBam2 = viral_ngs.core.file.mkstempfname('.sorted2.bam') self.sambamba.sort(inBam1, sortedBam1) self.sambamba.sort(inBam2, sortedBam2) count1 = self.samtools.count(sortedBam1) count2 = self.samtools.count(sortedBam2) outBam = viral_ngs.core.file.mkstempfname('.merged.bam') self.sambamba.merge([sortedBam1, sortedBam2], outBam) merged_count = self.samtools.count(outBam) self.assertEqual(merged_count, count1 + count2) class TestSambambaFlagstat(TestCaseWithTmp): """Tests for sambamba flagstat functionality""" def setUp(self): super().setUp() self.sambamba = viral_ngs.core.sambamba.SambambaTool() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_flagstat_basic(self): """Test getting alignment statistics""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') stats = self.sambamba.flagstat(inBam) # Should return a dictionary with statistics self.assertIsInstance(stats, dict) def test_flagstat_returns_dict(self): """Verify parsed output structure""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') stats = self.sambamba.flagstat(inBam) # Should contain standard flagstat keys self.assertIn('total', stats) def test_flagstat_empty_bam(self): """Test flagstat on empty BAM file""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') stats = self.sambamba.flagstat(inBam) self.assertIsInstance(stats, dict) self.assertEqual(stats.get('total', 0), 0) class TestSambambaMarkdup(TestCaseWithTmp): """Tests for sambamba markdup functionality""" def setUp(self): super().setUp() self.sambamba = viral_ngs.core.sambamba.SambambaTool() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def test_markdup_basic(self): """Test basic duplicate marking on aligned BAM""" # Use the larger test file which should have duplicates inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') # Sort first (markdup requires coordinate-sorted input) sortedBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, sortedBam) outBam = viral_ngs.core.file.mkstempfname('.deduped.bam') self.sambamba.markdup(sortedBam, outBam) # Verify output exists self.assertTrue(os.path.exists(outBam)) self.assertGreater(os.path.getsize(outBam), 0) # Read count should be preserved (duplicates are marked, not removed) in_count = self.samtools.count(sortedBam) out_count = self.samtools.count(outBam) self.assertEqual(out_count, in_count) def test_markdup_with_threads(self): """Test multi-threaded duplicate marking""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') sortedBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, sortedBam) outBam = viral_ngs.core.file.mkstempfname('.deduped.bam') self.sambamba.markdup(sortedBam, outBam, threads=2) self.assertTrue(os.path.exists(outBam)) self.assertGreater(os.path.getsize(outBam), 0) def test_markdup_empty_input(self): """Test handling of empty BAM file""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam') # Sort the empty BAM (should still work) sortedBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, sortedBam) outBam = viral_ngs.core.file.mkstempfname('.deduped.bam') self.sambamba.markdup(sortedBam, outBam) # Output should exist and be empty self.assertTrue(os.path.exists(outBam)) self.assertTrue(self.samtools.isEmpty(outBam)) def test_markdup_removes_duplicates(self): """Test remove_duplicates=True flag""" inBam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam') sortedBam = viral_ngs.core.file.mkstempfname('.sorted.bam') self.sambamba.sort(inBam, sortedBam) outBam = viral_ngs.core.file.mkstempfname('.deduped.bam') self.sambamba.markdup(sortedBam, outBam, remove_duplicates=True) # Output should exist self.assertTrue(os.path.exists(outBam)) # When removing duplicates, output should have fewer or equal reads in_count = self.samtools.count(sortedBam) out_count = self.samtools.count(outBam) self.assertLessEqual(out_count, in_count) ================================================ FILE: tests/unit/core/test_tools_samtools.py ================================================ # Unit tests for viral_ngs.core.samtools __author__ = "dpark@broadinstitute.org" import unittest import os, os.path import tempfile import shutil import Bio.SeqIO, Bio.SeqRecord, Bio.Seq import viral_ngs.core import viral_ngs.core import viral_ngs.core import viral_ngs.core.samtools from tests import TestCaseWithTmp class TestToolSamtools(TestCaseWithTmp): def test_count_bam(self): sam = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'simple.sam') n = viral_ngs.core.samtools.SamtoolsTool().count(sam, ['-S']) self.assertEqual(n, 2) def test_fasta_index(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'in.fasta') expected_fai = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'in.fasta.fai') samtools = viral_ngs.core.samtools.SamtoolsTool() for ext in ('.fasta', '.fa'): inRef = viral_ngs.core.file.mkstempfname(ext) shutil.copyfile(orig_ref, inRef) outFai = inRef + '.fai' samtools.faidx(inRef) self.assertEqualContents(outFai, expected_fai) def test_messy_fasta_index(self): orig_ref = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestToolPicard', 'messy-headers.fasta') samtools = viral_ngs.core.samtools.SamtoolsTool() with viral_ngs.core.file.tempfname('.fasta') as inRef: shutil.copyfile(orig_ref, inRef) samtools.faidx(inRef, overwrite=True) with open(inRef + '.fai', 'rt') as inf: seqnames = set() for line in inf: seq_name = line.strip().split('\t')[0] # old versions of code cut this off at "Influenza" self.assertGreater(len(seq_name), 50) seqnames.add(seq_name) # require that all sequence names are unique self.assertEqual(len(seqnames), 8) def test_isEmpty(self): samtools = viral_ngs.core.samtools.SamtoolsTool() self.assertTrue(samtools.isEmpty(os.path.join(viral_ngs.core.file.get_test_input_path(), 'empty.bam'))) self.assertFalse(samtools.isEmpty(os.path.join(viral_ngs.core.file.get_test_input_path(), 'almost-empty.bam'))) self.assertFalse(samtools.isEmpty(os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam'))) self.assertFalse(samtools.isEmpty(os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.testreads.bam'))) def test_sam_downsample(self): desired_count = 100 tolerance = 0.1 in_sam = os.path.join(viral_ngs.core.file.get_test_input_path(), 'G5012.3.subset.bam') out_bam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() samtools.downsample_to_approx_count(in_sam, out_bam, desired_count) assert samtools.count(out_bam) in range( int(desired_count - (desired_count * tolerance)), int(desired_count + (desired_count * tolerance))+1 ), "Downsampled bam file does not contain the expected number of reads within tolerance: %s" % tolerance def test_filterByCigarString(self): # The test input contains three reads to remove; one each: # leading indel, trailing indel, both leading and trailing # It also has a cigar string with an indel between alignment matches in_sam = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'indel_cigar.sam') out_bam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() # We'll use the default regex, which matches leading or trailing indels. # It is reproduced here in case the default changes: # '^((?:[0-9]+[ID]){1}(?:[0-9]+[MNIDSHPX=])+)|((?:[0-9]+[MNIDSHPX=])+(?:[0-9]+[ID]){1})$' samtools.filterByCigarString(in_sam, out_bam) assert samtools.count(out_bam)==39, "Output read count does not match the expected count." def test_bam2fa(self): samtools = viral_ngs.core.samtools.SamtoolsTool() sam = os.path.join(viral_ngs.core.file.get_test_input_path(self), 'simple.sam') with samtools.bam2fa_tmp(sam) as (fa1, fa2): for fa in (fa1, fa2): assert len(list(Bio.SeqIO.parse(fa, 'fasta')))==1 assert not os.path.isfile(fa1) and not os.path.isfile(fa2) class TestSamtoolsImport(TestCaseWithTmp): """Tests for samtools import (FASTQ to BAM conversion)""" def test_import_paired_fastq_basic(self): """Test basic paired FASTQ to BAM conversion with sample name only""" # Use existing test FASTQ files from TestFastqBam inFastq1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in1.fastq') inFastq2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in2.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() samtools.import_fastq(inFastq1, inFastq2, outBam, sample_name='TestSample') # Verify BAM file was created and is non-empty self.assertTrue(os.path.exists(outBam)) self.assertGreater(os.path.getsize(outBam), 0) # Verify read count matches input (1 read pair = 2 reads) self.assertEqual(samtools.count(outBam), 2) # Verify BAM is not flagged as empty self.assertFalse(samtools.isEmpty(outBam)) def test_import_with_full_read_group(self): """Test that all RG tags are correctly set in BAM header""" import pysam inFastq1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in1.fastq') inFastq2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in2.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() samtools.import_fastq( inFastq1, inFastq2, outBam, sample_name='FreeSample', library_name='Alexandria', platform='illumina', read_group_id='MyRG', platform_unit='FC001.1.ATCG', sequencing_center='BroadInstitute', run_date='2024-12-14' ) # Read BAM header and verify RG tags with pysam.AlignmentFile(outBam, 'rb', check_sq=False) as bam: rg_list = bam.header.get('RG', []) self.assertEqual(len(rg_list), 1) rg = rg_list[0] self.assertEqual(rg.get('ID'), 'MyRG') self.assertEqual(rg.get('SM'), 'FreeSample') self.assertEqual(rg.get('LB'), 'Alexandria') self.assertEqual(rg.get('PL'), 'illumina') self.assertEqual(rg.get('PU'), 'FC001.1.ATCG') self.assertEqual(rg.get('CN'), 'BroadInstitute') self.assertEqual(rg.get('DT'), '2024-12-14') def test_import_rg_defaults(self): """Test that RG defaults are applied correctly when optional params omitted""" import pysam inFastq1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in1.fastq') inFastq2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in2.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() samtools.import_fastq(inFastq1, inFastq2, outBam, sample_name='TestSample') with pysam.AlignmentFile(outBam, 'rb', check_sq=False) as bam: rg_list = bam.header.get('RG', []) self.assertEqual(len(rg_list), 1) rg = rg_list[0] # ID should default to 'A' (matching Picard default) self.assertEqual(rg.get('ID'), 'A') self.assertEqual(rg.get('SM'), 'TestSample') # LB should default to sample_name if not specified self.assertEqual(rg.get('LB'), 'TestSample') # PL should default to 'illumina' self.assertEqual(rg.get('PL'), 'illumina') # Optional tags should not be present self.assertIsNone(rg.get('PU')) self.assertIsNone(rg.get('CN')) self.assertIsNone(rg.get('DT')) def test_import_read_flags(self): """Test that paired-end read flags are set correctly (77/141 for unmapped pairs)""" import pysam inFastq1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in1.fastq') inFastq2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in2.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() samtools.import_fastq(inFastq1, inFastq2, outBam, sample_name='TestSample') with pysam.AlignmentFile(outBam, 'rb', check_sq=False) as bam: reads = list(bam.fetch(until_eof=True)) self.assertEqual(len(reads), 2) # First read should have flag 77 (paired, unmapped, mate unmapped, first in pair) # Second read should have flag 141 (paired, unmapped, mate unmapped, second in pair) flags = sorted([r.flag for r in reads]) self.assertEqual(flags, [77, 141]) def test_import_read_rg_tag(self): """Test that reads have the RG tag set correctly""" import pysam inFastq1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in1.fastq') inFastq2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in2.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() samtools.import_fastq( inFastq1, inFastq2, outBam, sample_name='TestSample', read_group_id='CustomRG' ) with pysam.AlignmentFile(outBam, 'rb', check_sq=False) as bam: for read in bam.fetch(until_eof=True): self.assertTrue(read.has_tag('RG')) self.assertEqual(read.get_tag('RG'), 'CustomRG') def test_import_empty_fastq(self): """Test handling of empty FASTQ inputs - should create empty BAM with header""" import pysam # Create empty FASTQ files emptyFastq1 = viral_ngs.core.file.mkstempfname('.fastq') emptyFastq2 = viral_ngs.core.file.mkstempfname('.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') open(emptyFastq1, 'w').close() open(emptyFastq2, 'w').close() samtools = viral_ngs.core.samtools.SamtoolsTool() samtools.import_fastq( emptyFastq1, emptyFastq2, outBam, sample_name='EmptySample', library_name='EmptyLib' ) # Verify BAM was created self.assertTrue(os.path.exists(outBam)) self.assertGreater(os.path.getsize(outBam), 0) # Verify BAM is empty (no reads) self.assertTrue(samtools.isEmpty(outBam)) self.assertEqual(samtools.count(outBam), 0) # Verify header has RG with pysam.AlignmentFile(outBam, 'rb', check_sq=False) as bam: rg_list = bam.header.get('RG', []) self.assertEqual(len(rg_list), 1) self.assertEqual(rg_list[0].get('SM'), 'EmptySample') self.assertEqual(rg_list[0].get('LB'), 'EmptyLib') def test_import_multithreaded(self): """Test that threads parameter works without error""" inFastq1 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in1.fastq') inFastq2 = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestFastqBam', 'in2.fastq') outBam = viral_ngs.core.file.mkstempfname('.bam') samtools = viral_ngs.core.samtools.SamtoolsTool() # Should work with explicit thread count samtools.import_fastq( inFastq1, inFastq2, outBam, sample_name='TestSample', threads=2 ) self.assertTrue(os.path.exists(outBam)) self.assertEqual(samtools.count(outBam), 2) ================================================ FILE: tests/unit/core/test_tools_splitcode.py ================================================ # Unit tests for viral_ngs.core.splitcode # -*- coding: utf-8 -*- __author__ = "dpark@broadinstitute.org" import unittest import os import os.path import tempfile import filecmp import shutil import json import viral_ngs.core import viral_ngs.core import viral_ngs.core.splitcode import viral_ngs.core.samtools import viral_ngs.core.picard from tests import TestCaseWithTmp, assert_equal_bam_reads class TestSplitcodeLookupTable(TestCaseWithTmp): """Test cases for create_splitcode_lookup_table function.""" def test_basic_single_pool(self): """Test basic functionality with a single pool.""" inDir = viral_ngs.core.file.get_test_input_path(self) sample_sheet = os.path.join(inDir, 'sample_sheet_basic.tsv') with tempfile.TemporaryDirectory() as tmpdir: csv_out = os.path.join(tmpdir, 'lut.csv') # Copy summary JSON to tmpdir where function expects it import shutil shutil.copy( os.path.join(inDir, 'ATCGATCG-GCTAGCTA.lB1_summary.json'), os.path.join(tmpdir, 'ATCGATCG-GCTAGCTA.lB1_summary.json') ) result_path = viral_ngs.core.splitcode.create_splitcode_lookup_table( sample_sheet, csv_out, unmatched_name="Unmatched" ) # Verify output file was created self.assertTrue(os.path.exists(result_path)) # Read and validate output CSV import pandas as pd df = pd.read_csv(result_path, dtype=str) # Check for expected columns expected_cols = [ 'sample', 'library_id', 'barcode_1', 'barcode_2', 'inline_barcode', 'run', 'muxed_pool', 'num_reads_hdistance0', 'num_reads_hdistance1', 'num_reads_total' ] for col in expected_cols: self.assertIn(col, df.columns, f"Missing column: {col}") # Check number of rows (3 samples + 1 unmatched) self.assertEqual(len(df), 4) # Verify sample names sample_names = set(df['sample'].tolist()) self.assertIn('Sample1', sample_names) self.assertIn('Sample2', sample_names) self.assertIn('Sample3', sample_names) # Verify unmatched row unmatched_rows = df[df['sample'].str.contains('Unmatched')] self.assertEqual(len(unmatched_rows), 1) unmatched_row = unmatched_rows.iloc[0] self.assertTrue(unmatched_row['inline_barcode'].replace('N', '') == '') # Unmatched count should be n_processed - n_assigned = 100000 - 95000 = 5000 self.assertEqual(int(unmatched_row['num_reads_hdistance0']), 5000) # Verify read counts for Sample2 (should have highest count) sample2_row = df[df['sample'] == 'Sample2'].iloc[0] self.assertEqual(int(sample2_row['num_reads_hdistance0']), 45000) self.assertEqual(int(sample2_row['num_reads_hdistance1']), 2000) self.assertEqual(int(sample2_row['num_reads_total']), 47000) # Verify barcode values self.assertEqual(sample2_row['barcode_1'], 'ATCGATCG') self.assertEqual(sample2_row['barcode_2'], 'GCTAGCTA') self.assertEqual(sample2_row['inline_barcode'], 'GGGGTTTT') def test_zero_reads_pool(self): """Test handling of pool with zero reads.""" inDir = viral_ngs.core.file.get_test_input_path(self) sample_sheet = os.path.join(inDir, 'sample_sheet_zero_reads.tsv') with tempfile.TemporaryDirectory() as tmpdir: csv_out = os.path.join(tmpdir, 'lut.csv') # Copy summary JSON import shutil shutil.copy( os.path.join(inDir, 'TTTTAAAA-CCCCGGGG.lB2_summary.json'), os.path.join(tmpdir, 'TTTTAAAA-CCCCGGGG.lB2_summary.json') ) result_path = viral_ngs.core.splitcode.create_splitcode_lookup_table( sample_sheet, csv_out, unmatched_name="Unmatched" ) # Read output import pandas as pd df = pd.read_csv(result_path, dtype=str) # Should have 1 sample + 1 unmatched self.assertEqual(len(df), 2) # Verify sample has 0 reads sample_row = df[df['sample'] == 'Sample4'].iloc[0] self.assertEqual(int(sample_row['num_reads_hdistance0']), 0) self.assertEqual(int(sample_row['num_reads_hdistance1']), 0) self.assertEqual(int(sample_row['num_reads_total']), 0) def test_multi_pool(self): """Test with multiple pools.""" inDir = viral_ngs.core.file.get_test_input_path(self) sample_sheet = os.path.join(inDir, 'sample_sheet_multi_pool.tsv') with tempfile.TemporaryDirectory() as tmpdir: csv_out = os.path.join(tmpdir, 'lut.csv') # Copy both summary JSONs import shutil shutil.copy( os.path.join(inDir, 'AAAAAAAA-TTTTTTTT.lLibA_summary.json'), os.path.join(tmpdir, 'AAAAAAAA-TTTTTTTT.lLibA_summary.json') ) shutil.copy( os.path.join(inDir, 'GGGGGGGG-CCCCCCCC.lLibB_summary.json'), os.path.join(tmpdir, 'GGGGGGGG-CCCCCCCC.lLibB_summary.json') ) result_path = viral_ngs.core.splitcode.create_splitcode_lookup_table( sample_sheet, csv_out, unmatched_name="Unmatched" ) # Read output import pandas as pd df = pd.read_csv(result_path, dtype=str) # Should have 4 samples + 2 unmatched (one per pool) self.assertEqual(len(df), 6) # Verify both barcode groups are present in muxed_pool pools = set(df['muxed_pool'].tolist()) self.assertIn('AAAAAAAA-TTTTTTTT.lLibA', pools) self.assertIn('GGGGGGGG-CCCCCCCC.lLibB', pools) # Check unmatched counts unmatched_rows = df[df['sample'].str.contains('Unmatched')] self.assertEqual(len(unmatched_rows), 2) # Verify LibA unmatched count: 50000 - 48000 = 2000 # Unmatched rows use the barcode group (outer barcodes only) as muxed_pool liba_unmatched = df[df['muxed_pool'] == 'AAAAAAAA-TTTTTTTT'] liba_unmatched = liba_unmatched[liba_unmatched['sample'].str.contains('Unmatched')].iloc[0] self.assertEqual(int(liba_unmatched['num_reads_hdistance0']), 2000) def test_append_run_id(self): """Test append_run_id parameter.""" inDir = viral_ngs.core.file.get_test_input_path(self) sample_sheet = os.path.join(inDir, 'sample_sheet_basic.tsv') with tempfile.TemporaryDirectory() as tmpdir: csv_out = os.path.join(tmpdir, 'lut.csv') import shutil # Copy JSON file with run suffix - this matches what splitcode actually creates shutil.copy( os.path.join(inDir, 'ATCGATCG-GCTAGCTA.lB1_summary.json'), os.path.join(tmpdir, 'ATCGATCG-GCTAGCTA.lB1.FLOWCELL123_summary.json') ) result_path = viral_ngs.core.splitcode.create_splitcode_lookup_table( sample_sheet, csv_out, unmatched_name="Unmatched", append_run_id="FLOWCELL123" ) # Read output import pandas as pd df = pd.read_csv(result_path, dtype=str) # Verify run IDs contain flowcell ID sample_row = df[df['sample'] == 'Sample1'].iloc[0] self.assertIn('FLOWCELL123', sample_row['run']) self.assertIn('FLOWCELL123', sample_row['muxed_pool']) def test_unique_library_ids_per_sample(self): """Test that lookup works when library_id_per_sample differs per sample within the same barcode_1+barcode_2 group (issue #1037). When each sample has a unique library_id_per_sample, each gets its own muxed_pool value, but splitcode produces only ONE summary JSON per outer barcode group. The function must find and reuse that single JSON for all samples in the group. """ inDir = viral_ngs.core.file.get_test_input_path(self) sample_sheet = os.path.join(inDir, 'sample_sheet_unique_lib_ids.tsv') with tempfile.TemporaryDirectory() as tmpdir: csv_out = os.path.join(tmpdir, 'lut.csv') # Copy the ONE JSON that exists for this barcode pair # (named with the first muxed_pool value, as splitcode would produce) shutil.copy( os.path.join(inDir, 'ATCGATCG-GCTAGCTA.lL1_summary.json'), os.path.join(tmpdir, 'ATCGATCG-GCTAGCTA.lL1_summary.json') ) result_path = viral_ngs.core.splitcode.create_splitcode_lookup_table( sample_sheet, csv_out, unmatched_name="Unmatched" ) # Verify output file was created self.assertTrue(os.path.exists(result_path)) # Read and validate output CSV import pandas as pd df = pd.read_csv(result_path, dtype=str) # Check number of rows (3 samples + 1 unmatched) self.assertEqual(len(df), 4) # Verify all sample names present sample_names = set(df['sample'].tolist()) self.assertIn('Sample1', sample_names) self.assertIn('Sample2', sample_names) self.assertIn('Sample3', sample_names) # Verify unmatched row unmatched_rows = df[df['sample'].str.contains('Unmatched')] self.assertEqual(len(unmatched_rows), 1) unmatched_row = unmatched_rows.iloc[0] # Unmatched count should be n_processed - n_assigned = 100000 - 95000 = 5000 self.assertEqual(int(unmatched_row['num_reads_hdistance0']), 5000) # Verify read counts for Sample2 (should have highest count) sample2_row = df[df['sample'] == 'Sample2'].iloc[0] self.assertEqual(int(sample2_row['num_reads_hdistance0']), 45000) self.assertEqual(int(sample2_row['num_reads_hdistance1']), 2000) self.assertEqual(int(sample2_row['num_reads_total']), 47000) # Verify barcode values are correct self.assertEqual(sample2_row['barcode_1'], 'ATCGATCG') self.assertEqual(sample2_row['barcode_2'], 'GCTAGCTA') self.assertEqual(sample2_row['inline_barcode'], 'GGGGTTTT') class TestSplitcodeIntegration(TestCaseWithTmp): """ Test our assumptions about splitcode behavior and file formats. These tests create minimal test data to validate splitcode integration without testing the external splitcode tool itself. """ def setUp(self): super().setUp() self.temp_dir = tempfile.mkdtemp() self.samtools = viral_ngs.core.samtools.SamtoolsTool() def tearDown(self): shutil.rmtree(self.temp_dir, ignore_errors=True) super().tearDown() def create_test_bam_with_inline_barcodes(self, output_bam, num_reads=10, barcode="AAAAAAAA"): """ Create a test BAM file with reads containing inline barcodes in R1. Args: output_bam: Path to output BAM file num_reads: Number of read pairs to create barcode: 8bp inline barcode to prepend to R1 sequences """ # Create temp FASTQs with inline barcodes r1_fastq = viral_ngs.core.file.mkstempfname('.fastq') r2_fastq = viral_ngs.core.file.mkstempfname('.fastq') with open(r1_fastq, 'w') as f1, open(r2_fastq, 'w') as f2: for i in range(num_reads): # R1 has inline barcode prepended seq_r1 = barcode + "ACGTACGTACGT" # 8bp barcode + 12bp insert qual_r1 = "I" * len(seq_r1) # R2 is just normal sequence seq_r2 = "TGCATGCATGCA" qual_r2 = "I" * len(seq_r2) f1.write(f"@read{i}\n{seq_r1}\n+\n{qual_r1}\n") f2.write(f"@read{i}\n{seq_r2}\n+\n{qual_r2}\n") # Convert to BAM viral_ngs.core.picard.FastqToSamTool().execute( r1_fastq, r2_fastq, "TestSample", output_bam, picardOptions=['LIBRARY_NAME=TestLib', 'PLATFORM=ILLUMINA'] ) return output_bam def test_run_splitcode_on_pool_basic(self): """ Test run_splitcode_on_pool with a simple single-barcode pool. This test focuses on validating our assumptions about splitcode's behavior: - Summary JSON is created in expected location - JSON has expected structure (tag_qc array with tag, count, distance) - We're NOT testing the keep file format here (too complex) - just JSON output Validates: - Splitcode runs successfully on BAM input - Summary JSON location and format """ # Create test BAM with reads containing AAAAAAAA barcode pool_bam = os.path.join(self.temp_dir, 'test_pool.bam') self.create_test_bam_with_inline_barcodes(pool_bam, num_reads=5, barcode="AAAAAAAA") # Create splitcode config file # Format: tag, id, locations, distance, left, right # The "id" column must match what's in the keep file splitcode_config = os.path.join(self.temp_dir, 'config.txt') sample_id = "Sample1_R1" # This matches illumina.py convention: f"{sample_library_id}_R1" with open(splitcode_config, 'w') as f: f.write("tag\tid\tlocations\tdistance\tleft\tright\n") # AAAAAAAA barcode, ID=Sample1_R1, in file 0 (R1) from position 0 to 8, distance=0 (exact match), trim from left # locations format: FILE_NUMBER:START_BP:END_BP (0:0:8 means R1, positions 0-8) f.write(f"AAAAAAAA\t{sample_id}\t0:0:8\t0\t1\t0\n") # Create keep file matching the config file ID # Format: barcode_id (from config) output_prefix splitcode_keepfile = os.path.join(self.temp_dir, 'keep.txt') output_prefix = os.path.join(self.temp_dir, 'Sample1') with open(splitcode_keepfile, 'w') as f: # Column 1 must match the "id" from config file f.write(f"{sample_id}\t{output_prefix}\n") pool_id = "TestPool" out_demux_dir = self.temp_dir # Run splitcode result = viral_ngs.core.splitcode.run_splitcode_on_pool( pool_id=pool_id, pool_bam_file=pool_bam, splitcode_config=splitcode_config, splitcode_keepfile=splitcode_keepfile, out_demux_dir_path=out_demux_dir, unmatched_name="unmatched", threads_per_worker=1, out_dir_path=out_demux_dir, out_demux_dir_path_tmp=self.temp_dir ) # Verify return value self.assertEqual(result[0], 0, "Splitcode should return 0 on success") self.assertEqual(result[1], pool_id, "Should return the pool_id") # Verify summary JSON exists in expected location # This is the KEY assumption we need to validate expected_summary = os.path.join(out_demux_dir, f'{pool_id}_summary.json') self.assertTrue(os.path.exists(expected_summary), f"Summary JSON should exist at {expected_summary}") # Verify JSON structure - this is what create_splitcode_lookup_table depends on with open(expected_summary) as f: summary = json.load(f) self.assertIn('tag_qc', summary, "JSON should have 'tag_qc' field") self.assertIsInstance(summary['tag_qc'], list, "'tag_qc' should be a list") # Find Sample1_R1 in tag_qc (splitcode uses the ID as the tag name in output) # Note: tag_qc has multiple entries per tag (one for each distance level) # We want to check that at least one distance level has count > 0 matching_entries = [item for item in summary['tag_qc'] if item['tag'] == sample_id] self.assertGreater(len(matching_entries), 0, f"{sample_id} should appear in tag_qc") # Check that we have at least one entry with count > 0 total_count = sum(item['count'] for item in matching_entries) self.assertGreater(total_count, 0, f"{sample_id} should have matched some reads across all distance levels") def test_run_splitcode_on_pool_empty_output(self): """ Test run_splitcode_on_pool when a barcode matches zero reads. Validates: - Splitcode runs successfully even with empty barcode outputs - Summary JSON shows count=0 for unmatched barcodes - Output files for empty barcodes may not exist or are empty """ # Create test BAM with AAAAAAAA barcode only pool_bam = os.path.join(self.temp_dir, 'test_pool.bam') self.create_test_bam_with_inline_barcodes(pool_bam, num_reads=3, barcode="AAAAAAAA") # Config with BC1 (present) and BC2 (absent) # IDs must match illumina.py convention: f"{sample_library_id}_R1" splitcode_config = os.path.join(self.temp_dir, 'config.txt') sample_id_1 = "Sample1_R1" sample_id_2 = "Sample2_R1" with open(splitcode_config, 'w') as f: f.write("tag\tid\tlocations\tdistance\tleft\tright\n") # locations format: FILE_NUMBER:START_BP:END_BP f.write(f"AAAAAAAA\t{sample_id_1}\t0:0:8\t0\t1\t0\n") f.write(f"CCCCCCCC\t{sample_id_2}\t0:0:8\t0\t1\t0\n") # Won't match any reads # Keep file for both barcodes splitcode_keepfile = os.path.join(self.temp_dir, 'keep.txt') output_prefix1 = os.path.join(self.temp_dir, 'Sample1') output_prefix2 = os.path.join(self.temp_dir, 'Sample2') with open(splitcode_keepfile, 'w') as f: f.write(f"{sample_id_1}\t{output_prefix1}\n") f.write(f"{sample_id_2}\t{output_prefix2}\n") pool_id = "TestPool" out_demux_dir = self.temp_dir # Run splitcode result = viral_ngs.core.splitcode.run_splitcode_on_pool( pool_id=pool_id, pool_bam_file=pool_bam, splitcode_config=splitcode_config, splitcode_keepfile=splitcode_keepfile, out_demux_dir_path=out_demux_dir, unmatched_name="unmatched", threads_per_worker=1, out_dir_path=out_demux_dir, out_demux_dir_path_tmp=self.temp_dir ) self.assertEqual(result[0], 0, "Splitcode should succeed even with empty outputs") # Verify summary JSON expected_summary = os.path.join(out_demux_dir, f'{pool_id}_summary.json') with open(expected_summary) as f: summary = json.load(f) # Sample1_R1 should have reads (check total across all distance levels) sample1_entries = [item for item in summary['tag_qc'] if item['tag'] == sample_id_1] self.assertGreater(len(sample1_entries), 0, f"{sample_id_1} should appear in tag_qc") sample1_total = sum(item['count'] for item in sample1_entries) self.assertGreater(sample1_total, 0, f"{sample_id_1} should have matched some reads") # Sample2_R1 might appear with count=0 (check total across all distance levels) sample2_entries = [item for item in summary['tag_qc'] if item['tag'] == sample_id_2] if len(sample2_entries) > 0: sample2_total = sum(item['count'] for item in sample2_entries) self.assertEqual(sample2_total, 0, f"{sample_id_2} should have 0 reads total if it appears in tag_qc") # Sample1 files should exist and be non-empty self.assertTrue(os.path.exists(f"{output_prefix1}_R1.fastq")) self.assertGreater(os.path.getsize(f"{output_prefix1}_R1.fastq"), 0) # Sample2 files might not exist, or if they do, should be empty sample2_r1 = f"{output_prefix2}_R1.fastq" if os.path.exists(sample2_r1): # File exists but should be empty (0 reads = 0 lines) with open(sample2_r1) as f: lines = f.readlines() self.assertEqual(len(lines), 0, "Empty barcode output file should have 0 lines") def test_splitcode_json_output_format(self): """ Test that splitcode JSON output has the expected structure. Validates our assumptions about JSON format: - Has 'tag_qc' array - Each entry has 'tag', 'count', 'distance' fields - These fields are the correct types """ # Create minimal test pool_bam = os.path.join(self.temp_dir, 'test_pool.bam') self.create_test_bam_with_inline_barcodes(pool_bam, num_reads=10, barcode="GGGGGGGG") splitcode_config = os.path.join(self.temp_dir, 'config.txt') sample_id = "Sample3_R1" with open(splitcode_config, 'w') as f: f.write("tag\tid\tlocations\tdistance\tleft\tright\n") # locations format: FILE_NUMBER:START_BP:END_BP f.write(f"GGGGGGGG\t{sample_id}\t0:0:8\t1\t1\t0\n") splitcode_keepfile = os.path.join(self.temp_dir, 'keep.txt') output_prefix = os.path.join(self.temp_dir, 'Sample3') with open(splitcode_keepfile, 'w') as f: f.write(f"{sample_id}\t{output_prefix}\n") pool_id = "TestPool" viral_ngs.core.splitcode.run_splitcode_on_pool( pool_id=pool_id, pool_bam_file=pool_bam, splitcode_config=splitcode_config, splitcode_keepfile=splitcode_keepfile, out_demux_dir_path=self.temp_dir, unmatched_name="unmatched", threads_per_worker=1, out_dir_path=self.temp_dir, out_demux_dir_path_tmp=self.temp_dir ) # Read and validate JSON structure summary_file = os.path.join(self.temp_dir, f'{pool_id}_summary.json') with open(summary_file) as f: summary = json.load(f) # Validate top-level structure self.assertIsInstance(summary, dict, "Summary should be a dictionary") self.assertIn('tag_qc', summary, "Summary must have 'tag_qc' key") self.assertIsInstance(summary['tag_qc'], list, "'tag_qc' must be a list") # Validate tag_qc entries self.assertGreater(len(summary['tag_qc']), 0, "tag_qc should have at least one entry") for entry in summary['tag_qc']: self.assertIsInstance(entry, dict, "Each tag_qc entry should be a dict") # Required fields our code depends on self.assertIn('tag', entry, "Entry must have 'tag' field") self.assertIn('count', entry, "Entry must have 'count' field") # Validate types (important for create_splitcode_lookup_table) # Note: with our pandas dtype=str fix, these get converted to strings self.assertIsInstance(entry['tag'], str, "'tag' should be string") # 'count' is numeric in JSON but we convert to string in pandas self.assertIsInstance(entry['count'], int, "'count' should be int in JSON") if 'distance' in entry: self.assertIsInstance(entry['distance'], int, "'distance' should be int in JSON") def test_splitcode_output_file_locations(self): """ Test that splitcode creates output files in expected locations. Validates: - Summary JSON location: {out_demux_dir_path}/{pool_id}_summary.json - FASTQ location: {output_prefix}_R1.fastq, {output_prefix}_R2.fastq - Unmatched FASTQ location: {unmatched_name}.{pool_id}_R1.fastq """ pool_bam = os.path.join(self.temp_dir, 'test_pool.bam') self.create_test_bam_with_inline_barcodes(pool_bam, num_reads=8, barcode="TTTTTTTT") splitcode_config = os.path.join(self.temp_dir, 'config.txt') sample_id = "MySample_R1" with open(splitcode_config, 'w') as f: f.write("tag\tid\tlocations\tdistance\tleft\tright\n") # locations format: FILE_NUMBER:START_BP:END_BP f.write(f"TTTTTTTT\t{sample_id}\t0:0:8\t0\t1\t0\n") splitcode_keepfile = os.path.join(self.temp_dir, 'keep.txt') sample_output_prefix = os.path.join(self.temp_dir, 'MySample') with open(splitcode_keepfile, 'w') as f: f.write(f"{sample_id}\t{sample_output_prefix}\n") pool_id = "MyPool" unmatched_name = "unassigned" out_demux_dir = self.temp_dir viral_ngs.core.splitcode.run_splitcode_on_pool( pool_id=pool_id, pool_bam_file=pool_bam, splitcode_config=splitcode_config, splitcode_keepfile=splitcode_keepfile, out_demux_dir_path=out_demux_dir, unmatched_name=unmatched_name, threads_per_worker=1, out_dir_path=out_demux_dir, out_demux_dir_path_tmp=self.temp_dir ) # Verify expected file locations # 1. Summary JSON: {out_demux_dir_path}/{pool_id}_summary.json expected_summary = os.path.join(out_demux_dir, f'{pool_id}_summary.json') self.assertTrue(os.path.exists(expected_summary), f"Summary should be at {expected_summary}") # 2. Matched FASTQs: {output_prefix}_R1.fastq, {output_prefix}_R2.fastq expected_r1 = f"{sample_output_prefix}_R1.fastq" expected_r2 = f"{sample_output_prefix}_R2.fastq" self.assertTrue(os.path.exists(expected_r1), f"Matched R1 should be at {expected_r1}") self.assertTrue(os.path.exists(expected_r2), f"Matched R2 should be at {expected_r2}") # 3. Unmatched FASTQs: {unmatched_name}.{pool_id}_R1.fastq expected_unmatched_r1 = os.path.join(self.temp_dir, f'{unmatched_name}.{pool_id}_R1.fastq') expected_unmatched_r2 = os.path.join(self.temp_dir, f'{unmatched_name}.{pool_id}_R2.fastq') self.assertTrue(os.path.exists(expected_unmatched_r1), f"Unmatched R1 should be at {expected_unmatched_r1}") self.assertTrue(os.path.exists(expected_unmatched_r2), f"Unmatched R2 should be at {expected_unmatched_r2}") def test_splitcode_barcode_trimming(self): """ Test that splitcode correctly trims inline barcodes from R1. Validates: - With left=1, barcode is removed from R1 sequences - R2 sequences are unchanged - Read count is preserved """ # Create BAM where R1 = AAAAAAAA + ACGTACGTACGT (20bp total) pool_bam = os.path.join(self.temp_dir, 'test_pool.bam') self.create_test_bam_with_inline_barcodes(pool_bam, num_reads=5, barcode="AAAAAAAA") splitcode_config = os.path.join(self.temp_dir, 'config.txt') sample_id = "Sample1_R1" with open(splitcode_config, 'w') as f: f.write("tag\tid\tlocations\tdistance\tleft\tright\n") # left=1 means trim the barcode from the left side # locations format: FILE_NUMBER:START_BP:END_BP f.write(f"AAAAAAAA\t{sample_id}\t0:0:8\t0\t1\t0\n") splitcode_keepfile = os.path.join(self.temp_dir, 'keep.txt') output_prefix = os.path.join(self.temp_dir, 'Sample1') with open(splitcode_keepfile, 'w') as f: f.write(f"{sample_id}\t{output_prefix}\n") viral_ngs.core.splitcode.run_splitcode_on_pool( pool_id="TestPool", pool_bam_file=pool_bam, splitcode_config=splitcode_config, splitcode_keepfile=splitcode_keepfile, out_demux_dir_path=self.temp_dir, unmatched_name="unmatched", threads_per_worker=1, out_dir_path=self.temp_dir, out_demux_dir_path_tmp=self.temp_dir ) # Read output FASTQ and verify barcode was trimmed output_r1 = f"{output_prefix}_R1.fastq" with open(output_r1) as f: lines = f.readlines() # Should have 5 reads * 4 lines/read = 20 lines self.assertEqual(len(lines), 20, "Should have 5 reads in output") # Check first read's sequence (line 1, 0-indexed) first_seq = lines[1].strip() # After trimming 8bp barcode, should have 12bp remaining self.assertEqual(len(first_seq), 12, "Sequence should be 12bp after trimming 8bp barcode") # Should NOT start with the barcode self.assertFalse(first_seq.startswith("AAAAAAAA"), "Barcode should be trimmed from output") # Should be the insert sequence self.assertEqual(first_seq, "ACGTACGTACGT", "After trimming barcode, should have insert sequence") def test_splitcode_with_append_run_id(self): """ Test that summary JSON lookup works correctly with append_run_id parameter. This tests the bug we fixed where append_run_id suffix was breaking JSON file lookup. Validates: - Summary JSON filename doesn't include append_run_id suffix - JSON can be found correctly even when pool_id has suffix appended """ pool_bam = os.path.join(self.temp_dir, 'test_pool.bam') self.create_test_bam_with_inline_barcodes(pool_bam, num_reads=3, barcode="GGGGGGGG") splitcode_config = os.path.join(self.temp_dir, 'config.txt') sample_id = "Sample1_R1" with open(splitcode_config, 'w') as f: f.write("tag\tid\tlocations\tdistance\tleft\tright\n") # locations format: FILE_NUMBER:START_BP:END_BP f.write(f"GGGGGGGG\t{sample_id}\t0:0:8\t0\t1\t0\n") splitcode_keepfile = os.path.join(self.temp_dir, 'keep.txt') output_prefix = os.path.join(self.temp_dir, 'Sample1') with open(splitcode_keepfile, 'w') as f: f.write(f"{sample_id}\t{output_prefix}\n") base_pool_id = "Pool1" out_demux_dir = self.temp_dir # Run splitcode (this doesn't use append_run_id directly, but creates the JSON) viral_ngs.core.splitcode.run_splitcode_on_pool( pool_id=base_pool_id, pool_bam_file=pool_bam, splitcode_config=splitcode_config, splitcode_keepfile=splitcode_keepfile, out_demux_dir_path=out_demux_dir, unmatched_name="unmatched", threads_per_worker=1, out_dir_path=out_demux_dir, out_demux_dir_path_tmp=self.temp_dir ) # Verify summary JSON is created with base pool_id (no suffix) expected_summary = os.path.join(out_demux_dir, f'{base_pool_id}_summary.json') self.assertTrue(os.path.exists(expected_summary), "Summary JSON should use base pool_id without suffix") # Now test that our lookup logic would work if pool_id had a suffix # This simulates what happens in create_splitcode_lookup_table pool_id_with_suffix = f"{base_pool_id}.FLOWCELL123" # The fix in illumina.py strips the suffix when looking for JSON file # Simulate that logic here append_run_id = "FLOWCELL123" if append_run_id and pool_id_with_suffix.endswith(f".{append_run_id}"): pool_for_lookup = pool_id_with_suffix[:-len(f".{append_run_id}")] else: pool_for_lookup = pool_id_with_suffix # Should find the file with the base pool_id import glob found_files = glob.glob(f"{out_demux_dir}/{pool_for_lookup}_summary.json") self.assertEqual(len(found_files), 1, "Should find exactly one summary JSON file") self.assertEqual(found_files[0], expected_summary, "Should find the summary JSON with base pool_id") class TestGenerateSplitcodeConfigAndKeepFiles(TestCaseWithTmp): """ Test generate_splitcode_config_and_keep_files function. This function takes sample metadata and generates splitcode config/keep files. It's a pure text-file transformation that's ideal for unit testing. """ def setUp(self): super().setUp() self.temp_dir = tempfile.mkdtemp() def tearDown(self): shutil.rmtree(self.temp_dir, ignore_errors=True) super().tearDown() def test_basic_single_pool(self): """Test basic config/keep generation with a single pool containing 2 samples.""" import pandas as pd import csv # Create test DataFrame matching inner_demux_mapper output df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA', 'CCCCCCCC'], 'run': ['Sample1.lLib1', 'Sample2.lLib1'], 'muxed_run': ['Pool1', 'Pool1'] }, index=['Sample1', 'Sample2']) config_file, keep_file, sample_ids = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir, max_hamming_dist=1 ) # Verify return values self.assertTrue(os.path.exists(config_file), "Config file should exist") self.assertTrue(os.path.exists(keep_file), "Keep file should exist") self.assertEqual(sample_ids, ['Sample1.lLib1', 'Sample2.lLib1']) # Verify config file format with open(config_file) as f: reader = csv.reader(f, delimiter='\t') rows = list(reader) # Check header self.assertEqual(rows[0], ['tag', 'id', 'locations', 'distance', 'left', 'right']) # Check Sample1 config line self.assertEqual(rows[1][0], 'AAAAAAAA') # barcode self.assertEqual(rows[1][1], 'Sample1.lLib1') # ID (no _R1 suffix when using --keep-r1-r2) self.assertEqual(rows[1][2], '0:0:8') # locations self.assertEqual(rows[1][3], '1') # distance self.assertEqual(rows[1][4], '1') # left trim self.assertEqual(rows[1][5], '0') # right trim # Check Sample2 config line self.assertEqual(rows[2][0], 'CCCCCCCC') self.assertEqual(rows[2][1], 'Sample2.lLib1') # ID (no _R1 suffix when using --keep-r1-r2) self.assertEqual(rows[2][2], '0:0:8') # Verify keep file format (NO header) with open(keep_file) as f: reader = csv.reader(f, delimiter='\t') keep_rows = list(reader) # Should have 2 rows, no header self.assertEqual(len(keep_rows), 2) # Check Sample1 keep line (no _R1 suffix when using --keep-r1-r2) self.assertEqual(keep_rows[0][0], 'Sample1.lLib1') self.assertEqual(keep_rows[0][1], f'{self.temp_dir}/Sample1.lLib1') # Check Sample2 keep line (no _R1 suffix when using --keep-r1-r2) self.assertEqual(keep_rows[1][0], 'Sample2.lLib1') self.assertEqual(keep_rows[1][1], f'{self.temp_dir}/Sample2.lLib1') def test_variable_barcode_lengths(self): """Test that config correctly handles different barcode lengths.""" import pandas as pd import csv df = pd.DataFrame({ 'barcode_3': ['AAAA', 'CCCCCCCCCC', 'GGGGGGGG'], # 4bp, 10bp, 8bp 'run': ['S1.lL1', 'S2.lL1', 'S3.lL1'], 'muxed_run': ['Pool1', 'Pool1', 'Pool1'] }, index=['S1', 'S2', 'S3']) config_file, keep_file, sample_ids = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir ) with open(config_file) as f: reader = csv.reader(f, delimiter='\t') rows = list(reader) # Check locations are adjusted for barcode length self.assertEqual(rows[1][2], '0:0:4') # 4bp barcode self.assertEqual(rows[2][2], '0:0:10') # 10bp barcode self.assertEqual(rows[3][2], '0:0:8') # 8bp barcode def test_hamming_distance_parameter(self): """Test that max_hamming_dist parameter is correctly written to config.""" import pandas as pd import csv df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA'], 'run': ['Sample1.lLib1'], 'muxed_run': ['Pool1'] }, index=['Sample1']) # Test distance=0 (exact match only) config_file, _, _ = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir, max_hamming_dist=0 ) with open(config_file) as f: reader = csv.reader(f, delimiter='\t') rows = list(reader) self.assertEqual(rows[1][3], '0') # distance column # Test distance=2 config_file, _, _ = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir, max_hamming_dist=2 ) with open(config_file) as f: reader = csv.reader(f, delimiter='\t') rows = list(reader) self.assertEqual(rows[1][3], '2') # distance column def test_r1_trim_bp_right_of_barcode(self): """Test that r1_trim_bp_right_of_barcode correctly sets left trim parameter.""" import pandas as pd import csv df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA'], 'run': ['Sample1.lLib1'], 'muxed_run': ['Pool1'] }, index=['Sample1']) # Test default (None) - should be "1" config_file, _, _ = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir, r1_trim_bp_right_of_barcode=None ) with open(config_file) as f: reader = csv.reader(f, delimiter='\t') rows = list(reader) self.assertEqual(rows[1][4], '1') # left column: "1" means trim barcode only # Test with 5 extra bp config_file, _, _ = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir, r1_trim_bp_right_of_barcode=5 ) with open(config_file) as f: reader = csv.reader(f, delimiter='\t') rows = list(reader) self.assertEqual(rows[1][4], '1:5') # left column: "1:5" means trim barcode + 5bp def test_multi_pool_filtering(self): """Test that function correctly filters to only the specified pool.""" import pandas as pd import csv # DataFrame with samples from two different pools df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA', 'CCCCCCCC', 'GGGGGGGG'], 'run': ['S1.lL1', 'S2.lL1', 'S3.lL1'], 'muxed_run': ['Pool1', 'Pool2', 'Pool1'] # Mixed pools }, index=['S1', 'S2', 'S3']) # Generate for Pool1 only config_file, keep_file, sample_ids = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir ) # Should only have S1 and S3 (Pool1 samples) self.assertEqual(sample_ids, ['S1.lL1', 'S3.lL1']) with open(config_file) as f: reader = csv.reader(f, delimiter='\t') rows = list(reader) # Header + 2 sample rows (S1 and S3) self.assertEqual(len(rows), 3) self.assertEqual(rows[1][0], 'AAAAAAAA') # S1 barcode self.assertEqual(rows[2][0], 'GGGGGGGG') # S3 barcode # S2 (Pool2) should NOT be present barcodes_in_config = [row[0] for row in rows[1:]] self.assertNotIn('CCCCCCCC', barcodes_in_config) def test_empty_pool_raises_error(self): """Test that requesting a non-existent pool raises ValueError.""" import pandas as pd df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA'], 'run': ['Sample1.lLib1'], 'muxed_run': ['Pool1'] }, index=['Sample1']) # Try to generate for Pool2 (which doesn't exist) with self.assertRaises(ValueError) as context: viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool2', self.temp_dir ) self.assertIn('No samples found', str(context.exception)) self.assertIn('Pool2', str(context.exception)) def test_config_keep_id_matching(self): """ Test the critical requirement: config file "id" must match keep file column 1. This is the most common source of splitcode errors. """ import pandas as pd import csv df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA', 'TTTTTTTT'], 'run': ['MySample.lMyLib.FC.1', 'Other.lLib2.FC.1'], 'muxed_run': ['Pool1', 'Pool1'] }, index=['MySample', 'Other']) config_file, keep_file, _ = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', self.temp_dir ) # Read both files with open(config_file) as f: config_rows = list(csv.reader(f, delimiter='\t')) with open(keep_file) as f: keep_rows = list(csv.reader(f, delimiter='\t')) # Extract IDs from config file (column 1, skip header) config_ids = [row[1] for row in config_rows[1:]] # Extract IDs from keep file (column 0, no header) keep_ids = [row[0] for row in keep_rows] # They MUST match exactly self.assertEqual(config_ids, keep_ids) # No _R1 suffix when using --keep-r1-r2 mode (splitcode adds the suffixes automatically) self.assertEqual(config_ids, ['MySample.lMyLib.FC.1', 'Other.lLib2.FC.1']) def test_output_prefix_path_construction(self): """Test that keep file constructs correct output paths.""" import pandas as pd import csv df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA'], 'run': ['Sample1.lLib1.FLOWCELL.1'], 'muxed_run': ['Pool1'] }, index=['Sample1']) output_dir = "/custom/output/path" _, keep_file, _ = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, 'Pool1', output_dir ) with open(keep_file) as f: keep_rows = list(csv.reader(f, delimiter='\t')) # Output prefix should be: {output_dir}/{sample_library_id} expected_prefix = f"{output_dir}/Sample1.lLib1.FLOWCELL.1" self.assertEqual(keep_rows[0][1], expected_prefix) # Note: splitcode will append _R1.fastq and _R2.fastq to this prefix def test_complex_realistic_scenario(self): """ Test a realistic scenario with multiple samples, realistic IDs, and mixed parameters. """ import pandas as pd import csv # Realistic sample sheet data df = pd.DataFrame({ 'barcode_3': ['AAAAAAAA', 'CCCCCCCC', 'GGGGGGGG', 'TTTTTTTT'], 'run': [ 'Sample1.lPool_1.HHJYWDRX5.6', 'Sample2.lPool_1.HHJYWDRX5.6', 'Sample3.lPool_2.HHJYWDRX5.6', 'Sample4.lPool_2.HHJYWDRX5.6' ], 'muxed_run': [ 'ATCGATCG-GCTAGCTA.lPool_1.HHJYWDRX5.6', 'ATCGATCG-GCTAGCTA.lPool_1.HHJYWDRX5.6', 'TTTTAAAA-CCCCGGGG.lPool_2.HHJYWDRX5.6', 'TTTTAAAA-CCCCGGGG.lPool_2.HHJYWDRX5.6' ] }, index=['Sample1', 'Sample2', 'Sample3', 'Sample4']) # Generate for Pool_1 only pool_id = 'ATCGATCG-GCTAGCTA.lPool_1.HHJYWDRX5.6' config_file, keep_file, sample_ids = viral_ngs.core.splitcode.generate_splitcode_config_and_keep_files( df, pool_id, '/output', max_hamming_dist=1, r1_trim_bp_right_of_barcode=3 ) # Should have Sample1 and Sample2 self.assertEqual(len(sample_ids), 2) self.assertIn('Sample1.lPool_1.HHJYWDRX5.6', sample_ids) self.assertIn('Sample2.lPool_1.HHJYWDRX5.6', sample_ids) # Verify config file with open(config_file) as f: config_rows = list(csv.reader(f, delimiter='\t')) # Header + 2 samples self.assertEqual(len(config_rows), 3) # Verify first sample (no _R1 suffix when using --keep-r1-r2) self.assertEqual(config_rows[1][0], 'AAAAAAAA') self.assertEqual(config_rows[1][1], 'Sample1.lPool_1.HHJYWDRX5.6') self.assertEqual(config_rows[1][2], '0:0:8') self.assertEqual(config_rows[1][3], '1') self.assertEqual(config_rows[1][4], '1:3') # Trim barcode + 3bp # Verify keep file (no _R1 suffix when using --keep-r1-r2) with open(keep_file) as f: keep_rows = list(csv.reader(f, delimiter='\t')) self.assertEqual(len(keep_rows), 2) self.assertEqual(keep_rows[0][0], 'Sample1.lPool_1.HHJYWDRX5.6') self.assertEqual(keep_rows[0][1], '/output/Sample1.lPool_1.HHJYWDRX5.6') class TestSplitcodeSummaryJSONErrorHandling(TestCaseWithTmp): """ Test error handling when loading splitcode summary JSON files. These tests validate that we provide helpful debugging information when JSON files are missing or malformed. """ def setUp(self): super().setUp() self.temp_dir = tempfile.mkdtemp() def tearDown(self): shutil.rmtree(self.temp_dir, ignore_errors=True) super().tearDown() def test_missing_json_file_provides_debugging_info(self): """Test that missing JSON file error includes directory listing.""" import pandas as pd # Create a sample sheet pointing to a pool sample_sheet = os.path.join(self.temp_dir, 'samples.tsv') with open(sample_sheet, 'w') as f: f.write("sample\tlibrary_id_per_sample\tbarcode_1\tbarcode_2\tbarcode_3\n") f.write("Sample1\tLib1\tATCGATCG\tGCTAGCTA\tAAAAAAAA\n") # Create the output directory with some files but NOT the expected JSON out_dir = os.path.join(self.temp_dir, 'output') os.makedirs(out_dir, exist_ok=True) # Create some dummy files to appear in the directory listing with open(os.path.join(out_dir, 'other_file.txt'), 'w') as f: f.write("dummy") with open(os.path.join(out_dir, 'wrong_pool_summary.json'), 'w') as f: f.write('{"tag_qc": []}') # csv_out determines outDir - put it in the output directory csv_out = os.path.join(out_dir, 'lut.csv') # Should raise FileNotFoundError with helpful message with self.assertRaises(FileNotFoundError) as context: viral_ngs.core.splitcode.create_splitcode_lookup_table( sample_sheet, csv_out, unmatched_name="Unmatched" ) # Check that error message mentions the pool error_msg = str(context.exception) self.assertIn('ATCGATCG-GCTAGCTA', error_msg) self.assertIn('summary.json', error_msg) def test_malformed_json_provides_file_preview(self): """Test that malformed JSON error includes file content preview.""" import pandas as pd # Create a sample sheet sample_sheet = os.path.join(self.temp_dir, 'samples.tsv') with open(sample_sheet, 'w') as f: f.write("sample\tlibrary_id_per_sample\tbarcode_1\tbarcode_2\tbarcode_3\n") f.write("Sample1\tLib1\tATCGATCG\tGCTAGCTA\tAAAAAAAA\n") out_dir = os.path.join(self.temp_dir, 'output') os.makedirs(out_dir, exist_ok=True) # Create a malformed JSON file pool_name = "ATCGATCG-GCTAGCTA.lLib1" malformed_json = os.path.join(out_dir, f'{pool_name}_summary.json') with open(malformed_json, 'w') as f: f.write('{"tag_qc": [this is not valid json}') # csv_out determines outDir - put it in the output directory csv_out = os.path.join(out_dir, 'lut.csv') # Should raise JSONDecodeError with self.assertRaises(json.JSONDecodeError): viral_ngs.core.splitcode.create_splitcode_lookup_table( sample_sheet, csv_out, unmatched_name="Unmatched" ) class TestConvertSplitcodeMetricsToPicardStyle(TestCaseWithTmp): """ Test convert_splitcode_demux_metrics_to_picard_style function. This function converts splitcode CSV metrics into Picard-style TSV format. It's a pure data transformation function ideal for unit testing. Input CSV format (from create_splitcode_lookup_table): - sample, barcode_1, barcode_2, inline_barcode, library_id, run - num_reads_hdistance0, num_reads_hdistance1, num_reads_total Output TSV format (Picard-style ExtractIlluminaBarcodes.BarcodeMetric): - BARCODE, BARCODE_WITHOUT_DELIMITER, BARCODE_NAME, LIBRARY_NAME - READS, PF_READS, PERFECT_MATCHES, PF_PERFECT_MATCHES - ONE_MISMATCH_MATCHES, PF_ONE_MISMATCH_MATCHES - PCT_MATCHES, RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT - PF_PCT_MATCHES, PF_RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT, PF_NORMALIZED_MATCHES """ def setUp(self): super().setUp() self.temp_dir = tempfile.mkdtemp() def tearDown(self): shutil.rmtree(self.temp_dir, ignore_errors=True) super().tearDown() def test_basic_conversion(self): """Test basic conversion with minimal input.""" import pandas as pd import csv # Create minimal input CSV # Note: Numeric columns are strings because that's how create_splitcode_lookup_table writes them input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1'], 'barcode_1': ['ATCGATCG'], 'barcode_2': ['GCTAGCTA'], 'inline_barcode': ['AAAAAAAA'], 'library_id': ['Lib1'], 'run': ['Sample1.lLib1'], 'num_reads_hdistance0': [100], 'num_reads_hdistance1': [10], 'num_reads_total': [110] }) df_input.to_csv(input_csv, index=False) # Convert output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv ) # Verify output exists self.assertTrue(os.path.exists(output_tsv)) # Read output with open(output_tsv) as f: lines = f.readlines() # Check header comment self.assertTrue(lines[0].startswith('## METRICS CLASS')) # Parse TSV data (skip header comment) with open(output_tsv) as f: next(f) # Skip comment line reader = csv.DictReader(f, delimiter='\t') rows = list(reader) self.assertEqual(len(rows), 1) # Check barcode formatting self.assertEqual(rows[0]['BARCODE'], 'ATCGATCG-GCTAGCTA-AAAAAAAA') self.assertEqual(rows[0]['BARCODE_WITHOUT_DELIMITER'], 'ATCGATCGGCTAGCTAAAAAAAAA') self.assertEqual(rows[0]['BARCODE_NAME'], 'Sample1') self.assertEqual(rows[0]['LIBRARY_NAME'], 'Sample1.lLib1') # Check read counts self.assertEqual(rows[0]['READS'], '110') self.assertEqual(rows[0]['PF_READS'], '110') self.assertEqual(rows[0]['PERFECT_MATCHES'], '100') self.assertEqual(rows[0]['PF_PERFECT_MATCHES'], '100') self.assertEqual(rows[0]['ONE_MISMATCH_MATCHES'], '10') self.assertEqual(rows[0]['PF_ONE_MISMATCH_MATCHES'], '10') def test_missing_required_column_raises_error(self): """Test that missing required columns raise ValueError.""" import pandas as pd # Create CSV missing required column input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1'], 'barcode_1': ['ATCGATCG'], # Missing 'barcode_2' 'num_reads_hdistance0': [100], 'num_reads_hdistance1': [10], 'num_reads_total': [110] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') with self.assertRaises(ValueError) as context: viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv ) self.assertIn('barcode_2', str(context.exception)) self.assertIn('missing', str(context.exception).lower()) def test_empty_required_column_raises_error(self): """Test that entirely empty required columns raise ValueError.""" import pandas as pd # Create CSV with empty required column input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1'], 'barcode_1': ['ATCGATCG'], 'barcode_2': ['GCTAGCTA'], 'num_reads_hdistance0': [None], # Empty column 'num_reads_hdistance1': [10], 'num_reads_total': [110] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') with self.assertRaises(ValueError) as context: viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv ) self.assertIn('num_reads_hdistance0', str(context.exception)) self.assertIn('empty', str(context.exception).lower()) def test_barcode_combination_without_inline(self): """Test barcode combination when inline_barcode is missing.""" import pandas as pd import csv # Create input CSV without inline_barcode column input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1'], 'barcode_1': ['ATCGATCG'], 'barcode_2': ['GCTAGCTA'], 'library_id': ['Lib1'], 'num_reads_hdistance0': [100], 'num_reads_hdistance1': [10], 'num_reads_total': [110] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv ) # Read output with open(output_tsv) as f: next(f) # Skip comment reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Should only have barcode_1 and barcode_2 self.assertEqual(rows[0]['BARCODE'], 'ATCGATCG-GCTAGCTA') self.assertEqual(rows[0]['BARCODE_WITHOUT_DELIMITER'], 'ATCGATCGGCTAGCTA') def test_library_name_fallback(self): """Test LIBRARY_NAME falls back to library_id if 'run' is missing.""" import pandas as pd import csv # Create input CSV with library_id but no 'run' column input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1'], 'barcode_1': ['ATCGATCG'], 'barcode_2': ['GCTAGCTA'], 'library_id': ['MyLibraryID'], 'num_reads_hdistance0': [100], 'num_reads_hdistance1': [10], 'num_reads_total': [110] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) self.assertEqual(rows[0]['LIBRARY_NAME'], 'MyLibraryID') def test_library_name_uses_barcode_name_fallback(self): """Test LIBRARY_NAME falls back to BARCODE_NAME if both run and library_id missing.""" import pandas as pd import csv # Create input CSV without run or library_id input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1'], 'barcode_1': ['ATCGATCG'], 'barcode_2': ['GCTAGCTA'], 'num_reads_hdistance0': [100], 'num_reads_hdistance1': [10], 'num_reads_total': [110] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) self.assertEqual(rows[0]['LIBRARY_NAME'], 'Sample1') def test_combine_innerbarcode_unmatched_false(self): """Test that unmatched rows are NOT collapsed when combine_innerbarcode_unmatched=False.""" import pandas as pd import csv # Create input with multiple unmatched (all-N inline barcode) rows input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1', 'Sample2', 'Sample3'], 'barcode_1': ['ATCGATCG', 'ATCGATCG', 'GCTAGCTA'], 'barcode_2': ['GCTAGCTA', 'GCTAGCTA', 'ATCGATCG'], 'inline_barcode': ['NNNNNNNN', 'NNNNNNNN', 'AAAAAAAA'], 'library_id': ['Lib1', 'Lib1', 'Lib2'], 'num_reads_hdistance0': [100, 50, 200], 'num_reads_hdistance1': [10, 5, 20], 'num_reads_total': [110, 55, 220] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, combine_innerbarcode_unmatched=False ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Should have all 3 rows (no collapsing) self.assertEqual(len(rows), 3) def test_combine_innerbarcode_unmatched_true_with_report_within_pools_true(self): """Test that unmatched rows ARE collapsed when combine_innerbarcode_unmatched=True.""" import pandas as pd import csv # Create input with multiple unmatched (all-N inline barcode) rows in same pool input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Unmatched.Pool1', 'Unmatched.Pool1_2', 'Sample3'], 'barcode_1': ['ATCGATCG', 'ATCGATCG', 'GCTAGCTA'], 'barcode_2': ['GCTAGCTA', 'GCTAGCTA', 'ATCGATCG'], 'inline_barcode': ['NNNNNNNN', 'NNNNNNNN', 'AAAAAAAA'], 'library_id': ['Lib1', 'Lib1', 'Lib2'], 'num_reads_hdistance0': [100, 50, 200], 'num_reads_hdistance1': [10, 5, 20], 'num_reads_total': [110, 55, 220] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, combine_innerbarcode_unmatched=True, report_within_pools=True ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Should have 2 rows: collapsed N row + Sample3 self.assertEqual(len(rows), 2) # Find the collapsed row n_row = [r for r in rows if r['BARCODE'] == 'N'][0] # Check that reads were summed self.assertEqual(n_row['READS'], str(110 + 55)) self.assertEqual(n_row['PERFECT_MATCHES'], str(100 + 50)) self.assertEqual(n_row['ONE_MISMATCH_MATCHES'], str(10 + 5)) def test_combine_innerbarcode_unmatched_true_with_report_within_pools_false(self): """Test all-N detection uses entire barcode when report_within_pools=False.""" import pandas as pd import csv # Create input with all-N full barcodes (not just inline) input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Unmatched1', 'Unmatched2', 'Sample3'], 'barcode_1': ['NNNNNNNN', 'NNNNNNNN', 'ATCGATCG'], 'barcode_2': ['NNNNNNNN', 'NNNNNNNN', 'GCTAGCTA'], 'inline_barcode': ['NNNNNNNN', 'NNNNNNNN', 'AAAAAAAA'], 'library_id': ['Lib1', 'Lib1', 'Lib2'], 'num_reads_hdistance0': [100, 50, 200], 'num_reads_hdistance1': [10, 5, 20], 'num_reads_total': [110, 55, 220] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, combine_innerbarcode_unmatched=True, report_within_pools=False ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Should have 2 rows: collapsed N row + Sample3 self.assertEqual(len(rows), 2) n_row = [r for r in rows if r['BARCODE'] == 'N'][0] self.assertEqual(n_row['READS'], str(110 + 55)) def test_stats_computation_global(self): """Test statistics are computed globally when report_within_pools=False.""" import pandas as pd import csv # Create input with 2 samples input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1', 'Sample2'], 'barcode_1': ['ATCGATCG', 'GCTAGCTA'], 'barcode_2': ['GCTAGCTA', 'ATCGATCG'], 'library_id': ['Lib1', 'Lib2'], 'num_reads_hdistance0': [100, 200], 'num_reads_hdistance1': [10, 20], 'num_reads_total': [110, 220] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, report_within_pools=False ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Sample2 has max reads (220), so it should have ratio=1.0 sample2 = [r for r in rows if r['BARCODE_NAME'] == 'Sample2'][0] self.assertEqual(float(sample2['RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT']), 1.0) # Sample1 has 110 reads, ratio should be 110/220 = 0.5 sample1 = [r for r in rows if r['BARCODE_NAME'] == 'Sample1'][0] self.assertAlmostEqual(float(sample1['RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT']), 0.5, places=6) def test_stats_computation_within_pools(self): """Test statistics are computed per pool when report_within_pools=True.""" import pandas as pd import csv # Create input with 2 pools, 2 samples each input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['S1', 'S2', 'S3', 'S4'], 'barcode_1': ['ATCGATCG', 'ATCGATCG', 'GCTAGCTA', 'GCTAGCTA'], 'barcode_2': ['GCTAGCTA', 'GCTAGCTA', 'ATCGATCG', 'ATCGATCG'], 'inline_barcode': ['AAAAAAAA', 'CCCCCCCC', 'GGGGGGGG', 'TTTTTTTT'], 'library_id': ['Lib1', 'Lib1', 'Lib2', 'Lib2'], 'num_reads_hdistance0': [100, 200, 50, 150], 'num_reads_hdistance1': [10, 20, 5, 15], 'num_reads_total': [110, 220, 55, 165] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, report_within_pools=True ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Pool 1 (ATCGATCG-GCTAGCTA): S2 has max (220) s2 = [r for r in rows if r['BARCODE_NAME'] == 'S2'][0] self.assertEqual(float(s2['RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT']), 1.0) # Pool 1: S1 has 110, ratio = 110/220 = 0.5 s1 = [r for r in rows if r['BARCODE_NAME'] == 'S1'][0] self.assertAlmostEqual(float(s1['RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT']), 0.5, places=6) # Pool 2 (GCTAGCTA-ATCGATCG): S4 has max (165) s4 = [r for r in rows if r['BARCODE_NAME'] == 'S4'][0] self.assertEqual(float(s4['RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT']), 1.0) # Pool 2: S3 has 55, ratio = 55/165 ≈ 0.333 s3 = [r for r in rows if r['BARCODE_NAME'] == 'S3'][0] self.assertAlmostEqual(float(s3['RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT']), 55/165, places=6) def test_pct_matches_computation(self): """Test PCT_MATCHES is computed correctly.""" import pandas as pd import csv input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1', 'Sample2'], 'barcode_1': ['ATCGATCG', 'ATCGATCG'], 'barcode_2': ['GCTAGCTA', 'GCTAGCTA'], 'library_id': ['Lib1', 'Lib1'], 'num_reads_hdistance0': [100, 200], 'num_reads_hdistance1': [10, 20], 'num_reads_total': [110, 220] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, report_within_pools=True ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Total reads in pool: 110 + 220 = 330 # Sample1 perfect matches: 100, PCT_MATCHES = 100/330 s1 = [r for r in rows if r['BARCODE_NAME'] == 'Sample1'][0] self.assertAlmostEqual(float(s1['PCT_MATCHES']), 100/330, places=6) # Sample2 perfect matches: 200, PCT_MATCHES = 200/330 s2 = [r for r in rows if r['BARCODE_NAME'] == 'Sample2'][0] self.assertAlmostEqual(float(s2['PCT_MATCHES']), 200/330, places=6) def test_normalized_matches_excludes_all_n(self): """Test PF_NORMALIZED_MATCHES excludes all-N rows from mean calculation.""" import pandas as pd import csv input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1', 'Sample2', 'Unmatched'], 'barcode_1': ['ATCGATCG', 'ATCGATCG', 'ATCGATCG'], 'barcode_2': ['GCTAGCTA', 'GCTAGCTA', 'GCTAGCTA'], 'inline_barcode': ['AAAAAAAA', 'CCCCCCCC', 'NNNNNNNN'], 'library_id': ['Lib1', 'Lib1', 'Lib1'], 'num_reads_hdistance0': [100, 200, 50], 'num_reads_hdistance1': [10, 20, 5], 'num_reads_total': [110, 220, 55] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, report_within_pools=True ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # Mean PF_READS should exclude unmatched (all-N) # Mean = (110 + 220) / 2 = 165 # Sample1: PF_NORMALIZED_MATCHES = 100 / 165 s1 = [r for r in rows if r['BARCODE_NAME'] == 'Sample1'][0] self.assertAlmostEqual(float(s1['PF_NORMALIZED_MATCHES']), 100/165, places=6) def test_custom_demux_function_name(self): """Test that custom demux_function parameter appears in header.""" import pandas as pd input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1'], 'barcode_1': ['ATCGATCG'], 'barcode_2': ['GCTAGCTA'], 'library_id': ['Lib1'], 'num_reads_hdistance0': [100], 'num_reads_hdistance1': [10], 'num_reads_total': [110] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') custom_name = "MyCustomDemuxFunction" viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv, demux_function=custom_name ) with open(output_tsv) as f: header = f.readline() self.assertIn(custom_name, header) def test_zero_reads_handling(self): """Test that zero reads don't cause division by zero errors.""" import pandas as pd import csv input_csv = os.path.join(self.temp_dir, 'input.csv') df_input = pd.DataFrame({ 'sample': ['Sample1', 'Sample2'], 'barcode_1': ['ATCGATCG', 'GCTAGCTA'], 'barcode_2': ['GCTAGCTA', 'ATCGATCG'], 'library_id': ['Lib1', 'Lib2'], 'num_reads_hdistance0': [0, 0], 'num_reads_hdistance1': [0, 0], 'num_reads_total': [0, 0] }) df_input.to_csv(input_csv, index=False) output_tsv = os.path.join(self.temp_dir, 'output.tsv') # Should not raise any errors viral_ngs.core.splitcode.convert_splitcode_demux_metrics_to_picard_style( input_csv, output_tsv ) with open(output_tsv) as f: next(f) reader = csv.DictReader(f, delimiter='\t') rows = list(reader) # All percentage/ratio columns should be 0 for row in rows: self.assertEqual(float(row['PCT_MATCHES']), 0.0) self.assertEqual(float(row['RATIO_THIS_BARCODE_TO_BEST_BARCODE_PCT']), 0.0) self.assertEqual(float(row['PF_NORMALIZED_MATCHES']), 0.0) ================================================ FILE: tests/unit/core/test_tools_trimmomatic.py ================================================ # Unit tests for Trimmomatic tool __author__ = "dpark@broadinstitute.org" import os import unittest import viral_ngs.core import viral_ngs.core import viral_ngs.core.trimmomatic from tests import TestCaseWithTmp, assert_equal_contents class TestTrimmomatic(TestCaseWithTmp): def test_trimmomatic_paired(self): myInputDir = viral_ngs.core.file.get_test_input_path(self) inFastq1 = os.path.join(myInputDir, 'in1.fastq') inFastq2 = os.path.join(myInputDir, 'in2.fastq') pairedOutFastq1 = viral_ngs.core.file.mkstempfname('.out1.fastq') pairedOutFastq2 = viral_ngs.core.file.mkstempfname('.out2.fastq') clipFasta = os.path.join(myInputDir, 'clip.fasta') viral_ngs.core.trimmomatic.TrimmomaticTool().execute(inFastq1, inFastq2, pairedOutFastq1, pairedOutFastq2, clipFasta) # Check that results match expected expected1Fastq = os.path.join(myInputDir, 'expected1.fastq') expected2Fastq = os.path.join(myInputDir, 'expected2.fastq') assert_equal_contents(self, pairedOutFastq1, expected1Fastq) assert_equal_contents(self, pairedOutFastq2, expected2Fastq) def test_trimmomatic_paired_maxinfo(self): myInputDir = viral_ngs.core.file.get_test_input_path(self) inFastq1 = os.path.join(myInputDir, 'in1.fastq') inFastq2 = os.path.join(myInputDir, 'in2.fastq') clipFasta = os.path.join(myInputDir, 'clip.fasta') with viral_ngs.core.file.tempfnames(('.out1.fastq', '.out2.fastq')) as (pairedOutFastq1, pairedOutFastq2): viral_ngs.core.trimmomatic.TrimmomaticTool().execute(inFastq1, inFastq2, pairedOutFastq1, pairedOutFastq2, clipFasta, maxinfo_target_length=30, maxinfo_strictness=.3) # Check that results match expected expected1Fastq = os.path.join(myInputDir, 'expected1.maxinfo.fastq') expected2Fastq = os.path.join(myInputDir, 'expected2.maxinfo.fastq') assert_equal_contents(self, pairedOutFastq1, expected1Fastq) assert_equal_contents(self, pairedOutFastq2, expected2Fastq) def test_trimmomatic_single(self): myInputDir = viral_ngs.core.file.get_test_input_path(self) inFastq1 = os.path.join(myInputDir, 'in1.fastq') pairedOutFastq1 = viral_ngs.core.file.mkstempfname('.out1.fastq') pairedOutFastq2 = viral_ngs.core.file.mkstempfname('.out2.fastq') unpairedOutFastq1 = viral_ngs.core.file.mkstempfname('.out3.fastq') unpairedOutFastq2 = viral_ngs.core.file.mkstempfname('.out4.fastq') clipFasta = os.path.join(myInputDir, 'clip.fasta') viral_ngs.core.trimmomatic.TrimmomaticTool().execute(inFastq1, None, pairedOutFastq1, pairedOutFastq2, clipFasta, unpairedOutFastq1=unpairedOutFastq1, unpairedOutFastq2=unpairedOutFastq2) # Check that results match expected emptyFastq = os.path.join(myInputDir, 'empty.fastq') expectedFastq = os.path.join(myInputDir, 'expected1.fastq') assert_equal_contents(self, pairedOutFastq1, emptyFastq) assert_equal_contents(self, pairedOutFastq2, emptyFastq) assert_equal_contents(self, unpairedOutFastq1, expectedFastq) ================================================ FILE: tests/unit/core/test_util_file.py ================================================ # Unit tests for viral_ngs.core.file.py __author__ = "ilya@broadinstitute.org" import os, sys, os.path import builtins import shutil import filecmp import subprocess import tarfile import tempfile import viral_ngs.core from tests import TestCaseWithTmp import pytest from unittest.mock import patch if sys.version_info >= (3, 10, 12): ''' Set the default extraction filter at class instance level for the tarfile module, to avoid needing to specify it every time we extract a tarball. The extraction filter avoids extracting "unsafe" items from tarballs, and is available in Python 3.10.12+. This sets the default to "tar_filter". For other filter types and general info on the tarfile module, see: https://docs.python.org/3.12/library/tarfile.html#tarfile.tar_filter https://docs.python.org/3.12/library/tarfile.html#extraction-filters ''' tarfile.TarFile.extraction_filter = staticmethod(tarfile.tar_filter) if hasattr(tarfile, 'data_filter') else (lambda member, path: member) def testTempFiles(): '''Test creation of tempfiles using context managers, as well as dump_file/slurp_file routines''' tmp_fns = [] sfx='tmp-file-test' with viral_ngs.core.file.tempfname(sfx) as my_tmp_fn: tmp_dir_listing = os.listdir( os.path.dirname( my_tmp_fn ) ) assert os.path.basename( my_tmp_fn ) in tmp_dir_listing with viral_ngs.core.file.tempfnames((sfx+'-A',sfx+'-B')) as my_tmp_fns: assert len(my_tmp_fns)==2 for fn in my_tmp_fns: assert os.path.dirname(fn) == os.path.dirname(my_tmp_fn) assert os.path.basename(fn) not in tmp_dir_listing for fn in my_tmp_fns: assert sfx in fn assert os.path.isfile(fn) assert os.path.getsize(fn)==0 assert os.access(fn, os.R_OK | os.W_OK) fileValue='my\ntest\ndata\n' + fn + '\n' viral_ngs.core.file.dump_file( fname=fn, value=fileValue ) assert os.path.isfile(fn) assert os.path.getsize(fn) == len(fileValue) assert viral_ngs.core.file.slurp_file(fn) == fileValue viral_ngs.core.file.make_empty(fn) assert os.path.getsize(fn)==0 tmp_fns.append(fn) assert os.path.isfile(my_tmp_fn) and not os.path.isfile(my_tmp_fns[0]) and not os.path.isfile(my_tmp_fns[1]) largeString = 'A' * (2*1024*1024) viral_ngs.core.file.dump_file(fname=my_tmp_fn, value=largeString) with pytest.raises(RuntimeError): viral_ngs.core.file.slurp_file(my_tmp_fn, maxSizeMb=1) assert not os.path.isfile(my_tmp_fn) def test_check_paths(tmpdir): '''Test the viral_ngs.core.file.check_paths()''' from os.path import join from viral_ngs.core.file import check_paths inDir = viral_ngs.core.file.get_test_input_path() def test_f(f): return join(inDir, f) check_paths(read=test_f('empty.bam')) check_paths(read=[test_f('empty.bam')]) with pytest.raises(Exception): check_paths(read=test_f('non_existent_file')) with pytest.raises(Exception): check_paths(write='/non/writable/dir/file.txt') writable_dir = str(tmpdir) check_paths(write=(join(writable_dir, 'mydata1.txt'), join(writable_dir, 'mydata2.txt'))) with pytest.raises(Exception): check_paths(write=writable_dir) viral_ngs.core.file.make_empty(join(writable_dir, 'myempty.dat')) check_paths(read_and_write=join(writable_dir, 'myempty.dat')) def test_uncompressed_file_type(): """Test viral_ngs.core.file.uncompressed_file_type()""" uft = viral_ngs.core.file.uncompressed_file_type assert uft('test.fasta.gz') == '.fasta' assert uft('test.fasta.bz2') == '.fasta' assert uft('test.fasta') == '.fasta' assert uft('test.fa.zst') == '.fa' assert uft('test.txt.lz4') == '.txt' assert uft('test.gz') == '' assert uft('/tmp/test.fasta.gz') == '.fasta' assert uft('/test/dir/test.fasta.bz2') == '.fasta' assert uft('/a/b/c/test.fasta') == '.fasta' assert uft('/a/test.gz') == '' def test_string_to_file_name(): """Test viral_ngs.core.file.string_to_file_name()""" unichr = getattr(builtins, 'unichr', chr) test_fnames = ( 'simple', 'simple.dat', 'a/b', '/a', '/a/b', '/a/b/', 'a\\b', 'a^b&c|d" e::f!g;*?`test`', '(somecmd -f --flag < input > output) && ls', 'long' * 8000, 'oddchars\\xAA\\o037', ''.join(map(chr, range(128))) * 20, ''.join(map(unichr, range(1000))), ) with viral_ngs.core.file.tmp_dir() as tmp_d: for test_fname in test_fnames: t_path = os.path.join(tmp_d, viral_ngs.core.file.string_to_file_name(test_fname, tmp_d)) viral_ngs.core.file.make_empty(t_path) assert os.path.isfile(t_path) and os.path.getsize(t_path) == 0 @pytest.fixture(scope='module', params=['', '.bz2', '.gz', '.lz4', '.zst']) def compressed_input_file(request): return os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebola.fasta' + request.param) @pytest.fixture(scope='module') def expected_plaintext(): return os.path.join(viral_ngs.core.file.get_test_input_path(), 'ebola.fasta') def test_decompress_shutil_copyfileobj(request, expected_plaintext, compressed_input_file): out = viral_ngs.core.file.mkstempfname(os.path.basename(compressed_input_file)+'.fa') with viral_ngs.core.file.open_or_gzopen(compressed_input_file, 'rt') as inf, open(out, 'wt') as outf: shutil.copyfileobj(inf, outf) assert filecmp.cmp(out, expected_plaintext, shallow=False) def test_decompress_line_by_line(request, expected_plaintext, compressed_input_file): out = viral_ngs.core.file.mkstempfname(os.path.basename(compressed_input_file)+'.fa') with viral_ngs.core.file.open_or_gzopen(compressed_input_file, 'rt', newline=None) as inf, open(out, 'wt') as outf: for line in inf: outf.write(line) assert filecmp.cmp(out, expected_plaintext, shallow=False) class TestExtractTarball(TestCaseWithTmp): def setUp(self): super(TestExtractTarball, self).setUp() self.input_dir = os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestTarballMerger') self.input_mixed_files = list(os.path.join(self.input_dir, "mixed-compressed-input", fn) for fn in sorted(os.listdir(os.path.join(self.input_dir, "mixed-compressed-input")))) self.expected_outputs = list(os.path.join(self.input_dir, "raw-input", fn) for fn in sorted(os.listdir(os.path.join(self.input_dir, "raw-input")))) def test_simple_extract(self): for tarfile, expected in zip(self.input_mixed_files, self.expected_outputs): temp_dir = tempfile.mkdtemp() viral_ngs.core.file.extract_tarball(tarfile, out_dir=temp_dir) out_files = os.listdir(temp_dir) self.assertEqual(len(out_files), 1) self.assertEqualContents(os.path.join(temp_dir, out_files[0]), expected) class TestTarballMerger(TestCaseWithTmp): def setUp(self): super(TestTarballMerger, self).setUp() self.input_dir = viral_ngs.core.file.get_test_input_path(self) self.raw_files = ["file{}".format(x) for x in range(1,5)] self.input_tgz_files = list(os.path.join(self.input_dir, "compressed-input", fn) for fn in sorted(os.listdir(os.path.join(self.input_dir, "compressed-input")))) self.input_mixed_files = list(os.path.join(self.input_dir, "mixed-compressed-input", fn) for fn in sorted(os.listdir(os.path.join(self.input_dir, "mixed-compressed-input")))) def test_simple_merge(self): """ Simple repack test """ temp_dir = tempfile.gettempdir() out_tarball_file = os.path.join(temp_dir,"out.tar.gz") viral_ngs.core.file.repack_tarballs(out_tarball_file, self.input_mixed_files ) tb = tarfile.open(out_tarball_file) tb.extractall(path=temp_dir) for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(temp_dir,self.raw_files[i]) self.assertEqualContents(inf, outf) def test_merge_with_extract(self): """ Test streaming repack with intermediate extraction to disk """ temp_dir = tempfile.gettempdir() out_tarball_file = os.path.join(temp_dir,"out.tar.gz") out_extracted_path = os.path.join(temp_dir,"extracted") viral_ngs.core.file.repack_tarballs(out_tarball_file, self.input_mixed_files, extract_to_disk_path=out_extracted_path ) tb = tarfile.open(out_tarball_file) tb.extractall(path=temp_dir) # inspect merged for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(temp_dir,self.raw_files[i]) self.assertEqualContents(inf, outf) # inspect extracted for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(out_extracted_path,self.raw_files[i]) self.assertEqualContents(inf, outf) def test_merge_with_extract_repack_from_disk(self): """ Test with repack from disk source after extraction """ temp_dir = tempfile.gettempdir() out_tarball_file = os.path.join(temp_dir,"out.tar.gz") out_extracted_path = os.path.join(temp_dir,"extracted") viral_ngs.core.file.repack_tarballs(out_tarball_file, self.input_mixed_files, extract_to_disk_path=out_extracted_path, avoid_disk_roundtrip=False ) tb = tarfile.open(out_tarball_file) tb.extractall(path=temp_dir) # inspect merged for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(temp_dir,self.raw_files[i]) self.assertEqualContents(inf, outf) # inspect extracted for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(out_extracted_path,self.raw_files[i]) self.assertEqualContents(inf, outf) def test_piped_in_merge(self): """ Test with streamed input """ temp_dir = tempfile.gettempdir() out_tarball_file = os.path.join(temp_dir,"out.tar.gz") ps = subprocess.Popen("cat {files}".format(files=' '.join(self.input_tgz_files)).split(), stdout=subprocess.PIPE) with patch('sys.stdin', ps.stdout): viral_ngs.core.file.repack_tarballs(out_tarball_file, ["-"], pipe_hint_in="gz") ps.wait() tb = tarfile.open(out_tarball_file) tb.extractall(path=temp_dir) for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(temp_dir,self.raw_files[i]) self.assertEqualContents(inf, outf) @pytest.fixture(autouse=True) def capsys(self, capsys): self.capsys = capsys def test_piped_out_merge(self): """ Test with streamed output """ temp_dir = tempfile.gettempdir() out_tarball_file = os.path.join(temp_dir,"out.tar.gz") with open(out_tarball_file, "wb", 0) as outf: # temporarily disable pytest's capture of sys.stdout with self.capsys.disabled(): with patch('sys.stdout', outf): viral_ngs.core.file.repack_tarballs("-", self.input_mixed_files, pipe_hint_out="gz") tb = tarfile.open(out_tarball_file) tb.extractall(path=temp_dir) for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(temp_dir,self.raw_files[i]) self.assertEqualContents(inf, outf) def test_merge_piped_in_and_out(self): """ Test with streamed input and output """ temp_dir = tempfile.gettempdir() out_tarball_file = os.path.join(temp_dir,"out.tar.gz") ps = subprocess.Popen("cat {files}".format(files=' '.join(self.input_tgz_files)).split(), stdout=subprocess.PIPE) with patch('sys.stdin', ps.stdout): with open(out_tarball_file, "wb", 0) as outf: # temporarily disable pytest's capture of sys.stdout with self.capsys.disabled(): with patch('sys.stdout', outf): viral_ngs.core.file.repack_tarballs( "-", ["-"], pipe_hint_out="gz", pipe_hint_in="gz") ps.wait() tb = tarfile.open(out_tarball_file) tb.extractall(path=temp_dir) for i in range(len(self.raw_files)): inf = os.path.join(self.input_dir,"raw-input",self.raw_files[i]) outf = os.path.join(temp_dir,self.raw_files[i]) self.assertEqualContents(inf, outf) ================================================ FILE: tests/unit/core/test_util_misc.py ================================================ # Unit tests for viral_ngs.core.misc.py __author__ = "dpark@broadinstitute.org" import os, random, collections import unittest import subprocess import multiprocessing import viral_ngs.core import pytest class TestRunAndPrint(unittest.TestCase): def testBasicRunSuccess(self): viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=False, buffered=False, check=False) viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=False, buffered=False, check=True) viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=True, buffered=False, check=False) viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=True, buffered=False, check=True) viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=False, buffered=True, check=False) viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=False, buffered=True, check=True) viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=True, buffered=True, check=False) viral_ngs.core.misc.run_and_print(['cat', '/dev/null'], silent=True, buffered=True, check=True) def testBasicRunFailDontCare(self): viral_ngs.core.misc.run_and_print(['cat', '/notdev/notnull'], silent=False, buffered=False, check=False) viral_ngs.core.misc.run_and_print(['cat', '/notdev/notnull'], silent=True, buffered=False, check=False) viral_ngs.core.misc.run_and_print(['cat', '/notdev/notnull'], silent=False, buffered=True, check=False) viral_ngs.core.misc.run_and_print(['cat', '/notdev/notnull'], silent=True, buffered=True, check=False) def testBasicRunFailAndCatch(self): self.assertRaises(subprocess.CalledProcessError, viral_ngs.core.misc.run_and_print, ['cat', '/notdev/notnull'], silent=False, buffered=False, check=True) self.assertRaises(subprocess.CalledProcessError, viral_ngs.core.misc.run_and_print, ['cat', '/notdev/notnull'], silent=False, buffered=True, check=True) self.assertRaises(subprocess.CalledProcessError, viral_ngs.core.misc.run_and_print, ['cat', '/notdev/notnull'], silent=True, buffered=False, check=True) self.assertRaises(subprocess.CalledProcessError, viral_ngs.core.misc.run_and_print, ['cat', '/notdev/notnull'], silent=True, buffered=True, check=True) class TestFeatureSorter(unittest.TestCase): def testBasicSortingWithOverlap(self): fs = viral_ngs.core.misc.FeatureSorter(( ('abca', 10, 20), ('abca', 25, 35), ('abca', 15, 30), )) self.assertEqual( list(fs.get_features()), [ ('abca', 10, 20, '+', None), ('abca', 15, 30, '+', None), ('abca', 25, 35, '+', None), ] ) def testBasicIntervalsWithOverlap(self): fs = viral_ngs.core.misc.FeatureSorter(( ('abca', 10, 20), ('abca', 25, 35), ('abca', 15, 30), )) self.assertEqual( list(fs.get_intervals()), [ ('abca', 10, 14, 1, [('abca', 10, 20, '+', None),]), ('abca', 15, 20, 2, [('abca', 10, 20, '+', None),('abca', 15, 30, '+', None),]), ('abca', 21, 24, 1, [('abca', 15, 30, '+', None),]), ('abca', 25, 30, 2, [('abca', 15, 30, '+', None),('abca', 25, 35, '+', None),]), ('abca', 31, 35, 1, [('abca', 25, 35, '+', None),]), ] ) def testDisjointAndOverlappingIntervals(self): fs = viral_ngs.core.misc.FeatureSorter(( ('abca', 10, 20), ('abca', 80, 90, '+', None), ('abca', 25, 35, '-'), ('abca', 15, 30), )) self.assertEqual( list(fs.get_intervals()), [ ('abca', 10, 14, 1, [('abca', 10, 20, '+', None),]), ('abca', 15, 20, 2, [('abca', 10, 20, '+', None),('abca', 15, 30, '+', None),]), ('abca', 21, 24, 1, [('abca', 15, 30, '+', None),]), ('abca', 25, 30, 2, [('abca', 15, 30, '+', None),('abca', 25, 35, '-', None),]), ('abca', 31, 35, 1, [('abca', 25, 35, '-', None),]), ('abca', 36, 79, 0, []), ('abca', 80, 90, 1, [('abca', 80, 90, '+', None),]), ] ) def testMultiChrWindowedFeatures(self): fs = viral_ngs.core.misc.FeatureSorter(( ('abca', 10, 20), ('aaaa', 17, 33), ('abca', 80, 90), ('abca', 25, 35), ('abca', 15, 30), )) self.assertEqual( list(fs.get_features('abca', 11, 22)), [ ('abca', 10, 20, '+', None), ('abca', 15, 30, '+', None), ] ) def testOpenWindowRight(self): fs = viral_ngs.core.misc.FeatureSorter(( ('abca', 10, 20), ('aaaa', 17, 33), ('abca', 80, 90), ('abca', 25, 35), ('abca', 15, 30), )) self.assertEqual( list(fs.get_features('abca', 22)), [ ('abca', 15, 30, '+', None), ('abca', 25, 35, '+', None), ('abca', 80, 90, '+', None), ] ) def testOpenWindowLeft(self): fs = viral_ngs.core.misc.FeatureSorter(( ('abca', 10, 20), ('aaaa', 17, 33), ('abca', 80, 90), ('abca', 25, 35), ('abca', 15, 30), )) self.assertEqual( list(fs.get_features('abca', right=18)), [ ('abca', 10, 20, '+', None), ('abca', 15, 30, '+', None), ] ) def testMultiChrWithPayloadIntervals(self): fs = viral_ngs.core.misc.FeatureSorter(( ('abca', 10, 20), ('aaaa', 17, 33, '-', [100, 'name', []]), ('abca', 80, 90, '+', ['other info']), ('abca', 25, 35, '-'), ('abca', 15, 30), )) self.assertEqual( list(fs.get_intervals()), [ ('abca', 10, 14, 1, [('abca', 10, 20, '+', None),]), ('abca', 15, 20, 2, [('abca', 10, 20, '+', None),('abca', 15, 30, '+', None),]), ('abca', 21, 24, 1, [('abca', 15, 30, '+', None),]), ('abca', 25, 30, 2, [('abca', 15, 30, '+', None),('abca', 25, 35, '-', None),]), ('abca', 31, 35, 1, [('abca', 25, 35, '-', None),]), ('abca', 36, 79, 0, []), ('abca', 80, 90, 1, [('abca', 80, 90, '+', ['other info']),]), ('aaaa', 17, 33, 1, [('aaaa', 17, 33, '-', [100, 'name', []]),]), ] ) class TestConfigIncludes(unittest.TestCase): def testConfigIncludes(self): def test_fn(f): return os.path.join(viral_ngs.core.file.get_test_input_path(), 'TestUtilMisc', f) cfg1 = viral_ngs.core.misc.load_config(test_fn('cfg1.yaml')) cfg2 = viral_ngs.core.misc.load_config(test_fn('cfg2.yaml'), std_includes=[test_fn('cfg_std.yaml')], param_renamings={'std_param_A_old': 'std_param_A_new'}) self.assertIn('paramA', cfg2) self.assertEqual(cfg2["env_vars"]["var_A"],1) self.assertEqual(cfg2["env_vars"]["var_B"],3) self.assertEqual(cfg2["env_vars"]["var_C"],4) with self.assertRaises(KeyError): cfg2["env_vars"]["var_E"] with self.assertRaises(KeyError): cfg2["var_A"] self.assertFalse(cfg2["paramZ"]) self.assertTrue(cfg1["paramZ"]) self.assertEqual(cfg2["empty_subtree"]["x"], 1) self.assertEqual(cfg2["std_methods"], ['a','b','c']) self.assertEqual(cfg2["stage1"]["stage2"]["step_num"],3) self.assertEqual(cfg2["stage1"]["stage2"]["step_list"],[5,10,15]) self.assertEqual(cfg2["stage1"]["stage3"]["step_list"],[3,33]) self.assertEqual(cfg1["stage1"]["stage3"]["step_list"],[51,101,151]) self.assertEqual(cfg2["std_param_A_new"], 111) # specified as std_param_A_old in cfg1.yaml self.assertEqual(viral_ngs.core.misc.load_config(test_fn('empty.yaml')), {}) def test_as_type(): """Test viral_ngs.core.misc.as_type()""" as_type = viral_ngs.core.misc.as_type test_data = ( ('1', int, 1, int), ('1', (int,), 1, int), ('1', (int, float), 1, int), ('1', (float, int), 1., float), ('1.2', (float, int), 1.2, float), ('1.2', (int, float), 1.2, float), (1, int, 1, int), ('1.', (int, float), 1., float), (1., int, 1, int), (1.2, (int, float), 1, int), ('1e3', (int, float), 1000., float), ('1e3', (float, int), 1000., float), ('1.1e3', (int, float), 1100., float), ('-1.1e3', (float, int), -1100., float), ) for val, types, out_val, out_type in test_data: result = as_type(val, types) assert result == out_val assert type(result) == out_type err_data = ( ('1.', int), ('1.', (int,)), ('1e3', int), ('1e3', (int,)), ([1], int), ('', int), ('', (int, float)), ('', (float, int)) ) for val, types in err_data: with pytest.raises(TypeError): as_type(val, types) @pytest.mark.parametrize("iter_d", [False, True]) @pytest.mark.parametrize("iter_subset", [False, True]) def test_subdict(iter_d, iter_subset): """Test viral_ngs.core.misc.subdict()""" def subdict(d, subset): return viral_ngs.core.misc.subdict(iter(d.items()) if iter_d else d, iter(subset) if iter_subset else subset) test_data = ( ({}, {}, {}), ({1:2}, {}, {}), ({1:2}, {1}, {1:2}), ({1:2}, {2}, {}), ({1:2}, {1,2}, {1:2}), ({1:2,3:4}, {1,2,3}, {1:2,3:4}), ({1:2,3:4}, {2,3,5}, {3:4}), ) for d, subset, expected in test_data: assert subdict(d, subset) == expected assert set(subdict(d, subset).keys()) == (set(d.keys()) & set(subset)) assert subdict(d, {}) == {} assert subdict(d, d.keys()) == d assert subdict(d, list(d.keys())*2) == d def test_chk(): chk = viral_ngs.core.misc.chk chk(True, 'no error') with pytest.raises(RuntimeError): chk(False) with pytest.raises(RuntimeError): chk(2 == 3, 'Something wrong') with pytest.raises(TypeError): chk(isinstance(None, int), 'Expected an int', TypeError) def test_available_cpu_count(monkeypatch_function_result): reported_cpu_count = viral_ngs.core.misc.available_cpu_count() assert reported_cpu_count >= int(os.environ.get('PYTEST_XDIST_WORKER_COUNT', '1')) assert viral_ngs.core.misc.available_cpu_count() == reported_cpu_count # cgroup v2 limited to 1 cpu with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=True, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu.max', patch_result="100000 100000"): assert viral_ngs.core.misc.available_cpu_count() == 1 # cgroup v2 limited to 2 cpu with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=True, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu.max', patch_result="200000 100000"): assert viral_ngs.core.misc.available_cpu_count() == 2 # cgroup v2 with no CPU limit imposed on cgroup # (fall back to /proc/self/status method, with limit imposed there): # 'Cpus_allowed: d' = 0b1101 bitmask (meaning execution allowed on 3 CPUs) with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=True, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu.max', patch_result="max 100000"), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/proc/self/status', patch_result='Cpus_allowed: d'): assert viral_ngs.core.misc.available_cpu_count() == 3 # cgroup v1 limited to 2 CPUs with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=False, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_quota_us', patch_result='200000'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_period_us', patch_result='100000'): assert viral_ngs.core.misc.available_cpu_count() == 2 # cgroup v1 limited to 1 CPU with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=False, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_quota_us', patch_result='1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_period_us', patch_result='1'): assert viral_ngs.core.misc.available_cpu_count() == 1 # cgroup v1 with no limit imposed on the cgroup # (fall back to /proc/self/status method, with limit imposed there): # 'Cpus_allowed: c' = 0b1100 bitmask (meaning execution allowed on 2 CPUs) with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=False, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_quota_us', patch_result='-1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_period_us', patch_result='1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/proc/self/status', patch_result='Cpus_allowed: c'): assert viral_ngs.core.misc.available_cpu_count() == 2 # cgroup v1 with no limit imposed on the cgoup or via /proc/self/status # (fall back to /proc/self/status method, with no limit imposed there) with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=False, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_quota_us', patch_result='-1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_period_us', patch_result='1'): assert viral_ngs.core.misc.available_cpu_count() == reported_cpu_count # cgroup v1 with no limit imposed on the cgoup # with 'Cpus_allowed' not present in /proc/self/status # (fall back to multiprocessing.cpu_count() method) with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=False, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_quota_us', patch_result='-1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_period_us', patch_result='1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/proc/self/status', patch_result='unexpected_key: 1'): assert viral_ngs.core.misc.available_cpu_count() == reported_cpu_count # cgroup v1 with no limit imposed on the cgoup # with 'Cpus_allowed' not present in /proc/self/status # (fall back to multiprocessing.cpu_count() method with CPU count of 2 reported) with monkeypatch_function_result(os.path.exists, "/sys/fs/cgroup/cgroup.controllers", patch_result=False, patch_module=os.path), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_quota_us', patch_result='-1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/sys/fs/cgroup/cpu/cpu.cfs_period_us', patch_result='1'), \ monkeypatch_function_result(viral_ngs.core.file.slurp_file, '/proc/self/status', patch_result='unexpected_key: 1'), \ monkeypatch_function_result(multiprocessing.cpu_count, patch_result=2, patch_module=multiprocessing): assert viral_ngs.core.misc.available_cpu_count() == 2 ================================================ FILE: tests/unit/phylo/__init__.py ================================================ ================================================ FILE: tests/unit/phylo/test_interhost.py ================================================ # Unit tests for interhost.py __author__ = "irwin@broadinstitute.org" import viral_ngs.interhost import viral_ngs.core.file import unittest import argparse import itertools from tests import TestCaseWithTmp class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in viral_ngs.interhost.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() def makeTempFasta(seqs): fn = viral_ngs.core.file.mkstempfname('.fasta') with open(fn, 'wt') as outf: for line in viral_ngs.core.file.fastaMaker(seqs): outf.write(line) return fn class TestCoordMapper(TestCaseWithTmp): def setUp(self): super(TestCoordMapper, self).setUp() self.genomeA = makeTempFasta([('chr1', 'ATGCACGTACGTATGCAAATCGG'), ('chr2', 'AGTCGGTTTTCAG'),]) self.genomeB = makeTempFasta([('first_chrom', 'GCACGTACGTATTTGCAAATC'), ('second_chr', 'AGTCGGTTTCCAC'),]) self.cm = viral_ngs.interhost.CoordMapper() self.cm.align_and_load_sequences([self.genomeA, self.genomeB]) def test_no_indels(self): for pos in range(1, 14): self.assertEqual(self.cm.mapAtoB('chr2', pos), ('second_chr', pos)) self.assertEqual(self.cm.mapBtoA('second_chr', pos), ('chr2', pos)) def test_map_indels(self): expLists = [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, [11, 13], 14, 15, 16, 17, 18, 19, 20, 21], [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 13, 13, 14, 15, 16, 17, 18, 19, 20, 21],] for mapper, fromChrom, goodRange, toChrom, expected in [ [self.cm.mapAtoB, 'chr1', range(3, 22), 'first_chrom', expLists[0]], [self.cm.mapBtoA, 'first_chrom', range(1, 22), 'chr1', expLists[1]] ]: result = [mapper(fromChrom, pos) for pos in goodRange] for chrom, mappedPos in result: self.assertEqual(chrom, toChrom) self.assertEqual(expected, [mappedPos for chrom, mappedPos in result]) def test_side_param(self): self.assertEqual(self.cm.mapAtoB('chr1', 13), ('first_chrom', [11, 13])) self.assertEqual(self.cm.mapAtoB('chr1', 13, 0), ('first_chrom', [11, 13])) self.assertEqual(self.cm.mapAtoB('chr1', 13, -1), ('first_chrom', 11)) self.assertEqual(self.cm.mapAtoB('chr1', 13, 1), ('first_chrom', 13)) self.assertEqual(self.cm.mapAtoB('chr1', 12), ('first_chrom', 10)) self.assertEqual(self.cm.mapAtoB('chr1', 12, 0), ('first_chrom', 10)) self.assertEqual(self.cm.mapAtoB('chr1', 12, -1), ('first_chrom', 10)) self.assertEqual(self.cm.mapAtoB('chr1', 12, 1), ('first_chrom', 10)) def test_oob_errors(self): for pos in [-1, 0, 1, 2, 22, 23, 24]: self.assertEqual(self.cm.mapAtoB('chr1', pos), ('first_chrom', None)) for pos in [-1, 0, 14, 15]: self.assertEqual(self.cm.mapBtoA('second_chr', pos), ('chr2', None)) def test_invalid_pos_error(self): with self.assertRaises(TypeError): self.cm.mapAtoB('chr1', 1.5) with self.assertRaises(TypeError): self.cm.mapBtoA('second_chr', 4.5) def test_invalid_chr_error(self): with self.assertRaises(KeyError): self.cm.mapAtoB('nonexistentchr', 2) with self.assertRaises(KeyError): self.cm.mapBtoA('nonexistentchr', 2) def test_unequal_genomes_error(self): genomeA = makeTempFasta([('chr1', 'ATGCACGTACGTATGCAAATCGG'), ('chr2', 'AGTCGGTTTTCAG'),]) genomeB = makeTempFasta([('first_chrom', 'GCACGTACGTATTTGCAAATC')]) with self.assertRaises(viral_ngs.core.file.TranspositionError): cm = viral_ngs.interhost.CoordMapper() cm.align_and_load_sequences([genomeA, genomeB]) def test_map_chr_only(self): self.assertEqual(self.cm.mapAtoB('chr1'), 'first_chrom') self.assertEqual(self.cm.mapBtoA('first_chrom'), 'chr1') self.assertEqual(self.cm.mapAtoB('chr2'), 'second_chr') self.assertEqual(self.cm.mapBtoA('second_chr'), 'chr2') with self.assertRaises(KeyError): self.cm.mapAtoB('nonexistentchr') class TestCoordMapperMultipleSeqs(TestCaseWithTmp): def setUp(self): super(TestCoordMapperMultipleSeqs, self).setUp() self.genomeA = makeTempFasta([ ('chr1', 'ATGCACGTACGTATGCAAATCGG'), ('chr2', 'AGTCGGTTTTCAG'), ('chr3', 'GACTTTTGGCTGA'), ]) self.genomeB = makeTempFasta([ ('first_chrom', 'GCACGTACGTATTTGCAAATC'), ('second_chr', 'AGTCGGTTTCCAC'), ('third_chr', 'CACCTTTGGCTGA'), ]) self.cm = viral_ngs.interhost.CoordMapper() self.cm.align_and_load_sequences([self.genomeA, self.genomeB]) def test_legacy_call(self): ''' If mapAtoB or mapBtoA is called on a CoordMapper object with >2 sequences, an AssertionError should be raised. ''' self.assertRaises(LookupError, self.cm.mapAtoB, 'chr1', 1) self.assertRaises(LookupError, self.cm.mapBtoA, 'chr2', 1) def test_no_indels(self): for pos in range(1, 14): self.assertEqual(self.cm.mapChr('chr2', 'second_chr', pos), ('second_chr', pos)) self.assertEqual(self.cm.mapChr('second_chr', 'chr2', pos), ('chr2', pos)) def test_map_indels(self): expLists = [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, [11, 13], 14, 15, 16, 17, 18, 19, 20, 21], [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 13, 13, 14, 15, 16, 17, 18, 19, 20, 21],] for mapper, fromChrom, goodRange, toChrom, expected in [ [self.cm.mapChr, 'chr1', range(3, 22), 'first_chrom', expLists[0]], [self.cm.mapChr, 'first_chrom', range(1, 22), 'chr1', expLists[1]] ]: result = [mapper(fromChrom, toChrom, pos) for pos in goodRange] for chrom, mappedPos in result: self.assertEqual(chrom, toChrom) self.assertEqual(expected, [mappedPos for chrom, mappedPos in result]) def test_side_param(self): self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 13), ('first_chrom', [11, 13])) self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 13, 0), ('first_chrom', [11, 13])) self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 13, -1), ('first_chrom', 11)) self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 13, 1), ('first_chrom', 13)) self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 12), ('first_chrom', 10)) self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 12, 0), ('first_chrom', 10)) self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 12, -1), ('first_chrom', 10)) self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', 12, 1), ('first_chrom', 10)) def test_oob_errors(self): for pos in [-1, 0, 1, 2, 22, 23, 24]: self.assertEqual(self.cm.mapChr('chr1', 'first_chrom', pos), ('first_chrom', None)) for pos in [-1, 0, 14, 15]: self.assertEqual(self.cm.mapChr('second_chr', 'chr2', pos), ('chr2', None)) def test_invalid_pos_error(self): with self.assertRaises(TypeError): self.cm.mapChr('chr1', 'first_chrom', 1.5) with self.assertRaises(TypeError): self.cm.mapChr('second_chr', 'chr2', 4.5) def test_invalid_chr_error(self): self.assertRaises(KeyError, self.cm.mapChr, 'nonexistentchr', 'chr1', 2) self.assertRaises(KeyError, self.cm.mapChr, 'chr1', 'nonexistentchr', 2) def test_unequal_genomes_error(self): genomeA = makeTempFasta([('chr1', 'ATGCACGTACGTATGCAAATCGG'), ('chr2', 'AGTCGGTTTTCAG'),]) genomeB = makeTempFasta([('first_chrom', 'GCACGTACGTATTTGCAAATC')]) with self.assertRaises(Exception): cm = viral_ngs.interhost.CoordMapper() cm.align_and_load_sequences([genomeA, genomeB]) def test_duplicate_chr_names_error(self): genomeA = makeTempFasta([('chr1', 'ATGCACGTACGTATGCAAATCGG'),]) genomeB = makeTempFasta([('chr1', 'GCACGTACGTATTTGCAAATC')]) with self.assertRaises(Exception): cm = viral_ngs.interhost.CoordMapper() cm.align_and_load_sequences([genomeA, genomeB]) def test_multiple_input_genomes(self): genomeA = makeTempFasta([('chr1', 'ATGCACGTACGTATGCAAATCGG'),]) genomeB = makeTempFasta([('first_chr', 'ATGCACTACGTATGCAAATCGG')]) genomeC = makeTempFasta([('chr_one', 'ATGCACGTACGTATGCAATCGG')]) cm = viral_ngs.interhost.CoordMapper() cm.align_and_load_sequences([genomeA, genomeB, genomeC]) # check that toChrom is in the map self.assertEqual(cm.mapChr('chr1', 'chr_one'), 'chr_one') def test_single_chr_error(self): genomeA = makeTempFasta([('chr1', 'ATGCACGTACGTATGCAAATCGG'),]) genomeB = makeTempFasta([]) with self.assertRaises(Exception): cm = viral_ngs.interhost.CoordMapper() cm.align_and_load_sequences([genomeA, genomeB]) def test_map_chr_only(self): self.assertEqual(self.cm.mapChr('chr1', 'first_chrom'), 'first_chrom') self.assertEqual(self.cm.mapChr('first_chrom', 'chr1'), 'chr1') self.assertEqual(self.cm.mapChr('chr2', 'second_chr'), 'second_chr') self.assertEqual(self.cm.mapChr('second_chr', 'chr2'), 'chr2') self.assertEqual(self.cm.mapChr('chr3', 'third_chr'), 'third_chr') self.assertEqual(self.cm.mapChr('third_chr', 'chr3'), 'chr3') self.assertRaises(KeyError, self.cm.mapChr, 'nonexistentchr', 'chr1') class TestSpecificAlignments(TestCaseWithTmp): """ For the most part, CoordMapper2Seqs is tested implicitly when CoordMapper is tested. Focus here on special cases that are hard or impossible to get out of the aligner. """ def test_basic_alignment(self): alignment = makeTempFasta([('s1', 'ATCG'), ('s2', 'ACCG'), ('s3', 'AG-T'),]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment]) def test_unequal_len(self): alignment = makeTempFasta([('s1', 'AA'), ('s2', 'A'),]) cm = viral_ngs.interhost.CoordMapper() with self.assertRaises(Exception): cm.load_alignments([alignment]) def test_no_real_bases_in_sample(self): alignment1 = makeTempFasta([('s1', 'AA'), ('s2', '--'),]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment1]) with self.assertRaises(Exception): cm.mapChr('s1', 's2', 1) alignment2 = makeTempFasta([('s1', '--'), ('s2', 'AA'), ('s3', 'TT'),]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment2]) with self.assertRaises(Exception): cm.mapChr('s2', 's1', 1) def test_no_real_bases_at_position(self): alignment = makeTempFasta([('s1', 'AT-G'), ('s2', 'AC-G'), ('s3', 'AG-T'),]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment]) for i in (1, 2, 3): self.assertEqual(cm.mapChr('s1', 's2', i), ('s2', i)) self.assertEqual(cm.mapChr('s2', 's1', i), ('s1', i)) self.assertEqual(cm.mapChr('s1', 's3', i), ('s3', i)) self.assertEqual(cm.mapChr('s3', 's1', i), ('s1', i)) self.assertEqual(cm.mapChr('s2', 's3', i), ('s3', i)) self.assertEqual(cm.mapChr('s3', 's2', i), ('s2', i)) def test_aligned_gaps(self): alignment = makeTempFasta([('s1', 'ATCG'), ('s2', 'AC-G'), ('s3', 'AG-T'),]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment]) for i in (1, 2, 3): self.assertEqual(cm.mapChr('s2', 's3', i), ('s3', i)) self.assertEqual(cm.mapChr('s3', 's2', i), ('s2', i)) for x, y in ((1, 1), (2, 2), (3, 2), (4, 3)): self.assertEqual(cm.mapChr('s1', 's2', x), ('s2', y)) self.assertEqual(cm.mapChr('s1', 's3', x), ('s3', y)) for x, y in ((1, 1), (2, [2, 3]), (3, 4)): self.assertEqual(cm.mapChr('s2', 's1', x), ('s1', y)) self.assertEqual(cm.mapChr('s3', 's1', x), ('s1', y)) def test_adjacent_gaps(self): alignment = makeTempFasta([ ('s1', 'ATCTG'), ('s2', 'AC--G'), ('s3', 'A-TTG'), ('s4', 'A-C-G'), ('s5', 'A--CG'), ]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment]) for x, y in ((1, 1), (2, 2), (3, 2), (4, 2), (5, 3)): self.assertEqual(cm.mapChr('s1', 's2', x), ('s2', y)) for x, y in ((1, 1), (2, [2, 4]), (3, 5)): self.assertEqual(cm.mapChr('s2', 's1', x), ('s1', y)) for x, y in ((1, 1), (2, 1), (3, 2), (4, 3), (5, 4)): self.assertEqual(cm.mapChr('s1', 's3', x), ('s3', y)) for x, y in ((1, [1, 2]), (2, 3), (3, 4), (4, 5)): self.assertEqual(cm.mapChr('s3', 's1', x), ('s1', y)) for x, y in ((1, 1), (2, [2, 3]), (3, 4)): self.assertEqual(cm.mapChr('s2', 's3', x), ('s3', y)) for x, y in ((1, 1), (2, 2), (3, 2), (4, 3)): self.assertEqual(cm.mapChr('s3', 's2', x), ('s2', y)) for a, b in itertools.combinations(('s2', 's4', 's5'), 2): for i in (1, 2, 3): self.assertEqual(cm.mapChr(a, b, i), (b, i)) self.assertEqual(cm.mapChr(b, a, i), (a, i)) def test_one_real_base(self): alignment = makeTempFasta([('s1', 'AC-'), ('s2', '-CA'),]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment]) self.assertEqual(cm.mapChr('s1', 's2', 1), ('s2', None)) self.assertEqual(cm.mapChr('s1', 's2', 2), ('s2', 1)) self.assertEqual(cm.mapChr('s2', 's1', 1), ('s1', 2)) self.assertEqual(cm.mapChr('s2', 's1', 2), ('s1', None)) def test_exactly_two_pairs(self): alignment = makeTempFasta([('s1', 'A--T'), ('s2', 'AGGT'),]) cm = viral_ngs.interhost.CoordMapper() cm.load_alignments([alignment]) self.assertEqual(cm.mapChr('s1', 's2', 1), ('s2', [1, 3])) self.assertEqual(cm.mapChr('s1', 's2', 2), ('s2', 4)) self.assertEqual(cm.mapChr('s2', 's1', 1), ('s1', 1)) self.assertEqual(cm.mapChr('s2', 's1', 2), ('s1', 1)) self.assertEqual(cm.mapChr('s2', 's1', 3), ('s1', 1)) self.assertEqual(cm.mapChr('s2', 's1', 4), ('s1', 2)) ================================================ FILE: tests/unit/phylo/test_intrahost.py ================================================ # Unit tests for intrahost.py __author__ = "dpark@broadinstitute.org" # built-ins from collections import OrderedDict import os import os.path import shutil import tempfile import itertools import argparse import unittest # third-party import Bio import Bio.SeqRecord import Bio.Seq # module-specific import viral_ngs.intrahost import viral_ngs.core.file import viral_ngs.phylo.vcf from viral_ngs.intrahost import AlleleFieldParser import viral_ngs.phylo.mafft from tests import TestCaseWithTmp, _CPUS class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in viral_ngs.intrahost.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() def makeTempFasta(seqs): fn = viral_ngs.core.file.mkstempfname('.fasta') with open(fn, 'wt') as outf: for line in viral_ngs.core.file.fastaMaker(seqs): outf.write(line) return fn class MockVphaserOutput: ''' This creates test data that pretends to be the output from viral_ngs.core.vphaser2.Vphaser2Tool.iterate ''' def __init__(self): self.isnvs = {} self.chroms = [] def add_snp(self, chrom, pos, acounts, libinfo=None): # Add an iSNP at this chrom,pos. acounts is a list of triples: # (allele, fwd count, rev count). assert isinstance(pos, int) and pos > 0 and len(acounts) > 1 for a, f, r in acounts: assert a in ('A', 'C', 'G', 'T') assert f >= 0 and r >= 0 and f + r > 0 # Add libinfo to acounts if libinfo is None: acounts = [[a, f, r, 1, [[f, r]]] for a, f, r in acounts] else: # ... raise Exception acounts = reversed(sorted((acount[1] + acount[2],) + tuple(acount) for acount in acounts)) acounts = [tuple(acount[1:]) for acount in acounts] if chrom not in self.chroms: self.chroms.append(chrom) self.isnvs.setdefault(chrom, {}) self.isnvs[chrom].setdefault(pos, {}) self.isnvs[chrom][pos]['snp'] = acounts def add_indel(self, chrom, pos, acounts, libinfo=None): ''' Add an iSNP at this chrom,pos. acounts is a list of triples: (allele, fwd count, rev count). allele is simply a small sequence with no "I" or "D" prefixing it (we'll add the I/D). ''' assert isinstance(pos, int) and pos > 0 and len(acounts) > 1 for a, f, r in acounts: assert isinstance(a, str) assert f >= 0 and r >= 0 and f + r > 0 assert '' in set(a for a, f, r in acounts) # Add libinfo to acounts if libinfo is None: acounts = [[a, f, r, 1, [[f, r]]] for a, f, r in acounts] else: # ... raise Exception acounts = reversed(sorted((acount[1] + acount[2],) + tuple(acount) for acount in acounts)) acounts = [list(acount[1:]) for acount in acounts] # vphaser funniness here if acounts[0][0] == '': # this is a set of insertions against the consensus acounts[0][0] = 'd' for i in range(1, len(acounts)): acounts[i][0] = 'I' + acounts[i][0] else: # this is a deletion against the consensus for i in range(1, len(acounts)): n_deleted = len(acounts[0][0]) - len(acounts[i][0]) assert n_deleted > 0 assert acounts[0][0][n_deleted:] == acounts[i][0] acounts[i][0] = 'D' + str(n_deleted) acounts[0][0] = 'i' if chrom not in self.chroms: self.chroms.append(chrom) self.isnvs.setdefault(chrom, {}) self.isnvs[chrom].setdefault(pos, {}) self.isnvs[chrom][pos]['lp'] = acounts def __iter__(self): for c in self.chroms: for p in sorted(self.isnvs[c].keys()): for model in self.isnvs[c][p].keys(): acounts = self.isnvs[c][p][model] mac = sum(acount[1] + acount[2] for acount in acounts[1:]) tot = sum(acount[1] + acount[2] for acount in acounts) yield [c, str(p), acounts[1][0], acounts[0][0], '0.5', model, str(float(mac) / tot * 100.0)] \ + [str(AlleleFieldParser(None, *acount)) for acount in acounts] class TestIntrahostFilters(unittest.TestCase): ''' This tests step 1 of the iSNV calling process (viral_ngs.intrahost.vphaser_one_sample), which runs V-Phaser2 on a single sample, reformats the output slightly, and performs strand-bias filtering and adds library-bias statistics. These unit tests mock the vphaser tool output and just test the filtering/statistics/etc. ''' def test_single_strand_bias_hard_filter(self): data = MockVphaserOutput() data.add_snp('c1', 100, [('A', 10, 20), ('T', 5, 2), ('C', 30, 500), ('G', 60, 40)]) data.add_snp('c2', 100, [('C', 10, 2), ('T', 2, 8)]) output = list(viral_ngs.intrahost.filter_strand_bias(data)) expected = ['c1', '100', 'A', 'G', None, 'snp', 23.076923076923078, 'G:60:40:60:40:1', 'A:10:20:10:20:1'] self.assertEqual(len(output), 1) self.assertEqual(output[0][:4], expected[:4]) self.assertEqual(output[0][5], expected[5]) self.assertAlmostEqual(float(output[0][6]), expected[6], places=4) self.assertEqual(output[0][7:], expected[7:]) #@unittest.skipIf(viral_ngs.core.is_osx(), "vphaser2 osx binary from bioconda has issues") @unittest.skip("vphaser2 behaving unpredictably; not used in WDL pipelines") class TestPerSample(TestCaseWithTmp): ''' This tests step 1 of the iSNV calling process (viral_ngs.intrahost.vphaser_one_sample), which runs V-Phaser2 on a single sample, reformats the output slightly, and performs strand-bias filtering and adds library-bias statistics. ''' def test_vphaser_one_sample(self): # Files here were created as follows: # - in.bam was copied from input directory for TestVPhaser2; see notes # there on how it was created. # - ref.fasta was created by making two identical chromosomes, chr1 # and chr2, with the sequence from West Nile virus isolate # WNV-1/US/BID-V7821/2011. That genome is a guess for the reference # of the V-Phaser 2 test file because BLAST matches the reads to # West Nile virus and that isolate has the size reported in the bam file. # Note that ref.fasta is not exactly the consensus of the reads in in.bam; # for example, pos 660 is C in ref.fasta, but more reads have T there # than C in in.bam. So we are actually testing the case that # V-Phaser 2 consensus != our consensus. myInputDir = viral_ngs.core.file.get_test_input_path(self) inBam = os.path.join(myInputDir, 'in.bam') refFasta = os.path.join(myInputDir, 'ref.fasta') outTab = viral_ngs.core.file.mkstempfname('.txt') viral_ngs.intrahost.vphaser_one_sample(inBam, refFasta, outTab, vphaserNumThreads=_CPUS, minReadsEach=6, maxBias=3) expected = os.path.join(myInputDir, 'vphaser_one_sample_expected.txt') self.assertEqualContents(outTab, expected) class VcfMergeRunner: ''' This creates test data and feeds it to viral_ngs.intrahost.merge_to_vcf ''' def __init__(self, ref_genome=None): self.genomes = {} # {sample : {chrom : bases, ...}, ...} self.genomeFastas = OrderedDict() # {sample: fastaFileName, ... self.alignedFastas = [] # [chr1, chr2, ...] self.isnvs = {} self.sample_order = [] self.sequence_order = OrderedDict() # { sample: [seq1, seq2, ... ], ... } if ref_genome: self.set_ref(ref_genome) def set_ref(self, genome): self.ref = makeTempFasta(genome) def add_genome(self, sample_name, genome): self.genomes[sample_name] = dict(genome) self.genomeFastas[sample_name] = makeTempFasta(genome) if sample_name not in self.sample_order: self.sample_order.append(sample_name) self.isnvs.setdefault(sample_name, MockVphaserOutput()) def add_snp(self, sample, chrom, pos, acounts, libinfo=None): assert sample in self.genomeFastas assert chrom in self.genomes[sample] assert 1 <= pos <= len(self.genomes[sample][chrom]) assert self.genomes[sample][chrom][pos - 1] in [a for a, f, r in acounts] self.isnvs[sample].add_snp(chrom, pos, acounts, libinfo) def add_indel(self, sample, chrom, pos, acounts, libinfo=None): assert sample in self.genomeFastas assert sample in self.genomeFastas assert chrom in self.genomes[sample] assert 1 <= pos <= len(self.genomes[sample][chrom]) if acounts[0][0] != '': # deletion assert self.genomes[sample][chrom][pos - 1:].startswith(acounts[0][0]) self.isnvs[sample].add_indel(chrom, pos, acounts, libinfo) def dump_isnv_tmp_file(self, sample): fn = viral_ngs.core.file.mkstempfname('.txt') with open(fn, 'wt') as outf: for row in self.isnvs[sample]: outf.write('\t'.join(map(str, row)) + '\n') return fn def run_and_get_vcf_rows(self, retree=1, omit_samplenames=False): outVcf = viral_ngs.core.file.mkstempfname('.vcf.gz') self.multi_align_samples(retree=retree) if not omit_samplenames: viral_ngs.intrahost.merge_to_vcf(self.ref, outVcf, self.sample_order, list(self.dump_isnv_tmp_file(s) for s in self.sample_order), self.alignedFastas) else: viral_ngs.intrahost.merge_to_vcf(self.ref, outVcf, [], list(self.dump_isnv_tmp_file(s) for s in self.sample_order), self.alignedFastas) with viral_ngs.phylo.vcf.VcfReader(outVcf) as vcf: rows = list(vcf.get()) return rows def multi_align_samples(self, retree=1): # store here a dict, {sample_name: [sequence_id1, sequence_id2, ...]} # because in Python3 OrderedDict does not have iteritems(), it simply has items() if hasattr(self.genomeFastas, "iteritems"): genomeKVIterator = self.genomeFastas.iteritems() else: genomeKVIterator = self.genomeFastas.items() for sampleName, fastaFile in genomeKVIterator: with viral_ngs.core.file.open_or_gzopen(fastaFile, 'r') as inf: for seq in Bio.SeqIO.parse(inf, 'fasta'): self.sequence_order.setdefault(sampleName, default=[]) self.sequence_order[sampleName].append(seq.id) inputFastas = [] inputFastas.append(self.ref) inputFastas.extend(self.genomeFastas.values()) transposedFiles = viral_ngs.core.file.transposeChromosomeFiles(inputFastas) # since the FASTA files are for idx, filePath in enumerate(transposedFiles): outFile = viral_ngs.core.file.mkstempfname('.fasta') outFilePath = os.path.dirname(outFile) alignedOutFile = viral_ngs.phylo.mafft.MafftTool().execute( inFastas=[os.path.abspath(filePath)], outFile=os.path.join(outFilePath, "{}{}.fasta".format("aligned", idx)), localpair=False, globalpair=True, preservecase=True, reorder=None, gapOpeningPenalty=None, offset=None, verbose=False, outputAsClustal=None, maxiters=1000, threads=_CPUS, retree=retree) self.alignedFastas.append(alignedOutFile) class TestVcfMerge(TestCaseWithTmp): ''' This tests step 2 of the iSNV calling process (viral_ngs.intrahost.merge_to_vcf), which gets really nasty and tricky and has lots of edge cases. These unit tests mock the vphaser tool output and just tests the merge and VCF stuff. ''' def test_empty_output(self): ref = makeTempFasta([('ref1', 'ATCGCA')]) s1 = makeTempFasta([('s1-1', 'ATCGCA')]) emptyfile = viral_ngs.core.file.mkstempfname('.txt') outVcf = viral_ngs.core.file.mkstempfname('.vcf') #viral_ngs.intrahost.merge_to_vcf(ref, outVcf, ['s1'], [emptyfile], [s1]) self.assertRaises(LookupError, viral_ngs.intrahost.merge_to_vcf, ref, outVcf, ['s1'], [emptyfile], [s1]) self.assertGreater(os.path.getsize(outVcf), 0) with viral_ngs.core.file.open_or_gzopen(outVcf, 'rt') as inf: for line in inf: self.assertTrue(line.startswith('#')) outVcf = viral_ngs.core.file.mkstempfname('.vcf.gz') #viral_ngs.intrahost.merge_to_vcf(ref, outVcf, ['s1'], [emptyfile], [s1]) self.assertRaises(LookupError, viral_ngs.intrahost.merge_to_vcf, ref, outVcf, ['s1'], [emptyfile], [s1]) self.assertGreater(os.path.getsize(outVcf), 0) with viral_ngs.core.file.open_or_gzopen(outVcf, 'rt') as inf: for line in inf: self.assertTrue(line.startswith('#')) def test_headers_with_two_samps(self): ref = makeTempFasta([('ref1', 'ATCGTTCA'), ('ref2', 'GGCCC')]) s1 = makeTempFasta([('s1-1', 'ATCGCA'), ('s1-2', 'GGCCC')]) s2 = makeTempFasta([('s2-1', 'ATCGTTCA'), ('s2-2', 'GGCCC')]) emptyfile = viral_ngs.core.file.mkstempfname('.txt') outVcf = viral_ngs.core.file.mkstempfname('.vcf.gz') self.assertRaises( LookupError, viral_ngs.intrahost.merge_to_vcf, ref, outVcf, [ 's1', 's2' ], [ emptyfile, emptyfile ], [ s1, s2 ]) with viral_ngs.phylo.vcf.VcfReader(outVcf) as vcf: self.assertEqual(vcf.samples(), ['s1', 's2']) self.assertEqual(vcf.chrlens(), {'ref1': 8, 'ref2': 5}) def test_simple_snps(self): merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGGAC')]) # ATCGGAC- merger.add_genome('s2', [('s2-1', 'TCGGACT')]) # -TCGGACT merger.add_genome('s3', [('s3-1', 'TCGGACT')]) # -TCGGACT merger.add_snp('s1', 's1-1', 3, [('C', 80, 80), ('A', 20, 20)]) merger.add_snp('s2', 's2-1', 2, [('C', 90, 90), ('A', 10, 10)]) merger.add_snp('s3', 's3-1', 5, [('A', 70, 70), ('T', 30, 30)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 2) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 3) self.assertEqual(rows[0].ref, 'C') self.assertEqual(rows[0].alt, 'A') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '0:0.2') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '0:0.1') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '0:0.0') self.assertEqual(rows[1].contig, 'ref1') self.assertEqual(rows[1].pos + 1, 6) self.assertEqual(rows[1].ref, 'A') self.assertEqual(rows[1].alt, 'T') self.assertEqual(':'.join(rows[1][0].split(':')[:2]), '0:0.0') self.assertEqual(':'.join(rows[1][1].split(':')[:2]), '0:0.0') self.assertEqual(':'.join(rows[1][2].split(':')[:2]), '0:0.3') def test_simple_snps_guess_samplenames(self): merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGGAC')]) # ATCGGAC- merger.add_genome('s2', [('s2-1', 'TCGGACT')]) # -TCGGACT merger.add_genome('s3', [('s3-1', 'TCGGACT')]) # -TCGGACT merger.add_snp('s1', 's1-1', 3, [('C', 80, 80), ('A', 20, 20)]) merger.add_snp('s2', 's2-1', 2, [('C', 90, 90), ('A', 10, 10)]) merger.add_snp('s3', 's3-1', 5, [('A', 70, 70), ('T', 30, 30)]) rows = merger.run_and_get_vcf_rows(omit_samplenames=True) self.assertEqual(len(rows), 2) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 3) self.assertEqual(rows[0].ref, 'C') self.assertEqual(rows[0].alt, 'A') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '0:0.2') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '0:0.1') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '0:0.0') self.assertEqual(rows[1].contig, 'ref1') self.assertEqual(rows[1].pos + 1, 6) self.assertEqual(rows[1].ref, 'A') self.assertEqual(rows[1].alt, 'T') self.assertEqual(':'.join(rows[1][0].split(':')[:2]), '0:0.0') self.assertEqual(':'.join(rows[1][1].split(':')[:2]), '0:0.0') self.assertEqual(':'.join(rows[1][2].split(':')[:2]), '0:0.3') def test_snps_with_varying_read_depth(self): merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGGAC')]) # ATCGGAC- merger.add_genome('s2', [('s2-1', 'TCGGACT')]) # -TCGGACT merger.add_genome('s3', [('s3-1', 'TCGGACT')]) # -TCGGACT merger.add_snp('s1', 's1-1', 3, [('C', 60, 100), ('A', 25, 15)]) merger.add_snp('s2', 's2-1', 2, [('C', 12, 6), ('A', 2, 0)]) merger.add_snp('s3', 's3-1', 5, [('A', 7, 4), ('T', 2, 3)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 2) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 3) self.assertEqual(rows[0].ref, 'C') self.assertEqual(rows[0].alt, 'A') self.assertEqual(':'.join(rows[0][0].split(':')[:3]), '0:0.2:200') self.assertEqual(':'.join(rows[0][1].split(':')[:3]), '0:0.1:20') self.assertEqual(':'.join(rows[0][2].split(':')[:3]), '0:0.0:.') self.assertEqual(rows[1].contig, 'ref1') self.assertEqual(rows[1].pos + 1, 6) self.assertEqual(rows[1].ref, 'A') self.assertEqual(rows[1].alt, 'T') self.assertEqual(':'.join(rows[1][0].split(':')[:3]), '0:0.0:.') self.assertEqual(':'.join(rows[1][1].split(':')[:3]), '0:0.0:.') self.assertEqual(':'.join(rows[1][2].split(':')[:3]), '0:0.3125:16') def test_snps_downstream_of_indels(self): merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGTTGACT')]) merger.add_genome('s2', [('s2-1', 'TCGTTGACT')]) merger.add_genome('s3', [('s3-1', 'TCGGCCT')]) merger.add_snp('s1', 's1-1', 8, [('A', 80, 80), ('C', 20, 20)]) merger.add_snp('s2', 's2-1', 7, [('A', 90, 90), ('C', 10, 10)]) merger.add_snp('s3', 's3-1', 5, [('C', 70, 70), ('A', 30, 30)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 6) self.assertEqual(rows[0].ref, 'A') self.assertEqual(rows[0].alt, 'C') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '0:0.2') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '0:0.1') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '1:0.7') def test_sample_major_allele_not_ref_allele(self): # make sure we can invert the allele frequency of the isnv # if necessary to match the reference's definition of ref & alt merger = VcfMergeRunner([('ref1', 'ATCGCAC')]) merger.add_genome('s1', [('s1-1', 'ATAGCCC')]) merger.add_snp('s1', 's1-1', 3, [('C', 10, 10), ('A', 90, 90)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 3) self.assertEqual(rows[0].ref, 'C') self.assertEqual(rows[0].alt, 'A') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '1:0.9') def test_backfill_sample_from_assembly(self): # one sample has no isnv, but another does, so we fill it in # 100% with its assembly allele, unless it doesn't have one # REF C # S1 A (isnv) # S2 A (consensus, no isnv) # S3 N (no consensus, no isnv) merger = VcfMergeRunner([('ref1', 'ATCG')]) merger.add_genome('s1', [('s1-1', 'ATCG')]) merger.add_genome('s2', [('s2-1', 'ATAG')]) merger.add_genome('s3', [('s3-1', 'ATNG')]) merger.add_snp('s1', 's1-1', 3, [('C', 90, 90), ('A', 10, 10)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 3) self.assertEqual(rows[0].ref, 'C') self.assertEqual(rows[0].alt, 'A') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '0:0.1') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '1:1.0') self.assertEqual(rows[0][2], '.:.:.:.:.') def test_simple_insertions(self): # IA, ITCG, etc # V-Phaser outputs a position that is just prior to where the new # bases come in. For example: ATCG -> ATiiiCG is at position 2. # This is consistent with what the VCF conventional position. # V-Phaser outputs an allele that does not include the position. # For example: ATCG -> ATAAACG is considered "IAAA" at position 2. # This is not the same as the VCF convention, which includes the # initial invariant base as part of the allele (it's a T -> TAAA # variant at position 2). merger = VcfMergeRunner([('ref1', 'ATCG')]) merger.add_genome('s1', [('s1-1', 'ATCG')]) merger.add_genome('s2', [('s2-1', 'ATCG')]) merger.add_genome('s3', [('s3-1', 'ATCG')]) merger.add_indel('s1', 's1-1', 2, [('', 80, 80), ('AA', 20, 20)]) merger.add_indel('s2', 's2-1', 2, [('', 90, 90), ('AT', 10, 10)]) merger.add_indel('s3', 's3-1', 2, [('', 80, 80), ('GCC', 15, 15), ('AA', 5, 5)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 2) self.assertEqual(rows[0].ref, 'T') self.assertEqual(rows[0].alt, 'TAA,TGCC,TAT') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '0:0.2,0.0,0.0') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '0:0.0,0.0,0.1') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '0:0.05,0.15,0.0') def test_simple_deletions(self): # D1, D2, etc... # V-Phaser outputs a position that describes the deleted base and # the number of bases deleted (but does not tell you what bases # were deleted). For example: ATCGAT -> ATAT is considered # a "D2" deletion at position 3. # This is not the same as the VCF convention, which anchors on # a preceeding invariant base. The above example is considered # to be a TCG -> T variant at position 2. merger = VcfMergeRunner([('ref1', 'ATCGAT')]) merger.add_genome('s1', [('s1-1', 'ATCGAT')]) merger.add_genome('s2', [('s2-1', 'ATCGAT')]) merger.add_genome('s3', [('s3-1', 'ATCGAT')]) merger.add_indel('s1', 's1-1', 3, [('CG', 80, 80), ('', 20, 20)]) merger.add_indel('s2', 's2-1', 3, [('C', 90, 90), ('', 10, 10)]) merger.add_indel('s3', 's3-1', 3, [('CG', 80, 80), ('G', 15, 15), ('', 5, 5)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 2) self.assertEqual(rows[0].ref, 'TCG') self.assertEqual(rows[0].alt, 'TG,T') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '0:0.0,0.2') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '0:0.1,0.0') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '0:0.15,0.05') def test_deletion_spans_deletion(self): # sample assembly has deletion against reference and isnv deletes even more # POS is anchored right before the deletion # REF: ATCGTTCA # S1: ATCG--CA # isnv: x (position 5, D1) merger = VcfMergeRunner([('ref1', 'ATCGTTCA')]) merger.add_genome('s1', [('s1-1', 'ATCGCA')]) merger.add_indel('s1', 's1-1', 5, [('C', 90, 90), ('', 10, 10)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 4) self.assertEqual(rows[0].ref, 'GTTC') self.assertEqual(rows[0].alt, 'GC,G') self.assertEqual(rows[0][0], '1:0.9,0.1:200:0,1,1:.,1.0,1.0') def test_insertion_spans_deletion(self): # sample assembly has deletion against reference and isnv inserts back into it # POS is anchored right before the deletion # REF: ATCGTTGA # S1: ATCG--GA # isnv: T (position 4, IT) # isnv: TT (position 4, ITT) # isnv: TTC (position 4, ITTC) merger = VcfMergeRunner([('ref1', 'ATCGTTCACC')]) merger.add_genome('s1', [('s1-1', 'ATCGCACC')]) merger.add_genome('s2', [('s2-1', 'ATCGCACC')]) merger.add_genome('s3', [('s3-1', 'ATCGCACC')]) merger.add_indel('s1', 's1-1', 4, [('', 70, 70), ('T', 30, 30)]) merger.add_indel('s2', 's2-1', 4, [('', 80, 80), ('TT', 20, 20)]) merger.add_indel('s3', 's3-1', 4, [('', 90, 90), ('TTC', 10, 10)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 4) self.assertEqual(rows[0].ref, 'GTT') self.assertEqual(rows[0].alt, 'G,GT,GTTC') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '1:0.7,0.3,0.0') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '1:0.8,0.0,0.0') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '1:0.9,0.0,0.1') def test_snp_within_insertion(self): # sample assembly has insertion against reference and isnp modifies it # REF: ATCG--GA # S1: ATCGTTGA # isnv: C # isnv: C # isnv: C merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGTTGACT')]) merger.add_genome('s2', [('s2-1', 'TCGTTGACT')]) merger.add_genome('s3', [('s3-1', 'TCGTTGACT')]) merger.add_snp('s1', 's1-1', 4, [('G', 70, 70), ('C', 30, 30)]) merger.add_snp('s2', 's2-1', 4, [('T', 80, 80), ('C', 20, 20)]) merger.add_snp('s3', 's3-1', 5, [('T', 90, 90), ('C', 10, 10)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 4) self.assertEqual(rows[0].ref, 'G') self.assertEqual(rows[0].alt, 'GTT,CTT,GCT,GTC') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '1:0.7,0.3,0.0,0.0') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '1:0.8,0.0,0.2,0.0') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '1:0.9,0.0,0.0,0.1') def test_2snps_within_insertion_same_sample(self): # Sample assembly has insertion against reference containing two SNPs # in the same sample. # We don't handle this because we can't see phasing; it should be # handled by the variant caller. # REF: ATCG--GACT # S1: ATCGTTGACT # isnv: C # isnv: C merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGTTGACT')]) merger.add_snp('s1', 's1-1', 5, [('T', 80, 80), ('C', 20, 20)]) merger.add_snp('s1', 's1-1', 6, [('T', 90, 90), ('C', 10, 10)]) self.assertRaises(NotImplementedError, merger.run_and_get_vcf_rows) def test_deletion_past_end_of_some_consensus(self): # Some sample contains a deletion beyond the end of the consensus # sequence of another sample with a SNP. It should skip latter rather # than crashing. # REF: ATCGAAC # S1: ATCG--C # S1isnv: ATCA--C # S2: ATCT # S2isnv: ATCC merger = VcfMergeRunner([('ref1', 'ATCGAAC')]) merger.add_genome('s1', [('s1-1', 'ATCGC')]) merger.add_snp('s1', 's1-1', 4, [('G', 70, 70), ('A', 30, 30)]) merger.add_genome('s2', [('s2-1', 'ATCT')]) merger.add_snp('s2', 's2-1', 4, [('T', 80, 80), ('C', 20, 20)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 2) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 4) self.assertEqual(rows[0].ref, 'GAA') # multiple options because the allele frequencies can be the same self.assertIn(rows[0].alt, ['C,G,A', 'G,C,A']) self.assertIn(rows[0][0], ['2:0.0,0.7,0.3:200:0,0,1,1:.,.,1.0,1.0', '1:0.7,0.0,0.3:200:0,1,0,1:.,1.0,.,1.0']) self.assertIn(rows[0][1], ['1:1.0,0.0,0.0:.:.:.', '2:0.0,1.0,0.0:.:.:.']) self.assertEqual(rows[1].contig, 'ref1') self.assertEqual(rows[1].pos + 1, 7) self.assertEqual(rows[1].ref, 'C') self.assertEqual(rows[1].alt, 'T') self.assertEqual(rows[1][0], '0:0.0:.:.:.') self.assertEqual(rows[1][1], '1:0.8:200:1,1:1.0,1.0') def test_snp_past_end_of_some_consensus(self): # Some sample contains SNP beyond the end of the consensus # sequence of another. It should skip latter rather # than crashing. # REF: AT # S1: AT # S1isnv: AG # S2: A merger = VcfMergeRunner([('ref1', 'AT')]) merger.add_genome('s1', [('s1-1', 'AT')]) merger.add_snp('s1', 's1-1', 2, [('T', 70, 70), ('G', 30, 30)]) merger.add_genome('s2', [('s2-1', 'A')]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 2) self.assertEqual(rows[0].ref, 'T') self.assertEqual(rows[0].alt, 'G') self.assertEqual(rows[0][0], '0:0.3:200:1,1:1.0,1.0') self.assertEqual(rows[0][1], '.:.:.:.:.') def test_deletion_within_insertion(self): # sample assembly has insertion against reference and isnv deletes from it # REF: ATCG--GA # S1: ATCGTTGA # isnv: x (position 5, D1) s1 => GTG # isnv: xx (position 5, D2) s1 => GG # isnv: xxx (position 5, D3) s1 => G # isnv: x (position 6, D1) s2, s3 => GTG # isnv: xx (position 6, D2) s3 => GT # isnv: x (position 7, D1) s4 => GTT merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGTTGACT')]) merger.add_genome('s2', [('s2-1', 'TCGTTGACT')]) merger.add_genome('s3', [('s3-1', 'TCGTTGACT')]) merger.add_genome('s4', [('s4-1', 'TCGTTGACT')]) merger.add_indel('s1', 's1-1', 5, [('TTG', 40, 40), ('TG', 30, 30), ('G', 20, 20), ('', 10, 10)]) merger.add_indel('s2', 's2-1', 4, [('T', 80, 80), ('', 20, 20)]) merger.add_indel('s3', 's3-1', 5, [('TG', 85, 85), ('G', 10, 10), ('', 5, 5)]) merger.add_indel('s4', 's4-1', 6, [('G', 90, 90), ('', 10, 10)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 4) self.assertEqual(rows[0].ref, 'GG') self.assertEqual(rows[0].alt, 'GTTG,GTG,GTT,G,GT') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '1:0.4,0.3,0.0,0.1,0.0') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '1:0.8,0.2,0.0,0.0,0.0') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '1:0.85,0.1,0.0,0.0,0.05') self.assertEqual(':'.join(rows[0][3].split(':')[:2]), '1:0.9,0.0,0.1,0.0,0.0') def test_insertion_within_insertion(self): # sample assembly has insertion against reference and isnv puts even more in # REF: ATCG--GA # S1: ATCGTTGA # isnv: ^ (position 4, IA) # isnv: ^ (position 5, IA) # isnv: ^ (position 6, IA) merger = VcfMergeRunner([('ref1', 'ATCGGACT')]) merger.add_genome('s1', [('s1-1', 'ATCGTTGACT')]) merger.add_genome('s2', [('s2-1', 'TCGTTGACT')]) merger.add_genome('s3', [('s3-1', 'TCGTTGACT')]) merger.add_indel('s1', 's1-1', 4, [('', 70, 70), ('A', 30, 30)]) merger.add_indel('s2', 's2-1', 4, [('', 80, 80), ('A', 20, 20)]) merger.add_indel('s3', 's3-1', 5, [('', 90, 90), ('A', 10, 10)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 4) self.assertEqual(rows[0].ref, 'G') self.assertEqual(rows[0].alt, 'GTT,GATT,GTAT,GTTA') self.assertEqual(':'.join(rows[0][0].split(':')[:2]), '1:0.7,0.3,0.0,0.0') self.assertEqual(':'.join(rows[0][1].split(':')[:2]), '1:0.8,0.0,0.2,0.0') self.assertEqual(':'.join(rows[0][2].split(':')[:2]), '1:0.9,0.0,0.0,0.1') def test_indel_collapse(self): # vphaser describes insertions and deletions separately # test appropriate collapse of coincident insertions and deletions into # a single output VCF row # isnv: (position 2, IA) # isnv: (position 3, D1) # Note: This is where V-Phaser gets weird. For sites that have both # insertions and deletions, the insertions are described on one row # and the deletions get described on a separate row. But both rows # will have a read count for the majority/consensus allele # (called "i" in one and "d" in the other), but the counts for # that allele often do not agree between the two rows! # So in this scenario, we ought to average them. merger = VcfMergeRunner([('ref1', 'ATCG')]) merger.add_genome('s1', [('s1-1', 'ATCG')]) merger.add_indel('s1', 's1-1', 2, [('', 40, 40), ('A', 20, 20)]) merger.add_indel('s1', 's1-1', 3, [('C', 60, 60), ('', 30, 30)]) rows = merger.run_and_get_vcf_rows() self.assertEqual(len(rows), 1) self.assertEqual(rows[0].contig, 'ref1') self.assertEqual(rows[0].pos + 1, 2) self.assertEqual(rows[0].ref, 'TC') self.assertEqual(rows[0].alt, 'T,TAC') self.assertEqual(rows[0][0].split(':')[0], '0') # s1 is 0.5 TC, 0.3 T, 0.2 TAC for actual, expected in zip(rows[0][0].split(':')[1].split(','), [0.3, 0.2]): self.assertAlmostEqual(float(actual), expected, places=2) ================================================ FILE: tests/unit/phylo/test_ncbi.py ================================================ # Unit tests for ncbi.py __author__ = "tomkinsc@broadinstitute.org" # built-ins import os import tempfile import unittest import argparse # module-specific import viral_ngs.ncbi as ncbi import viral_ngs.core.file import viral_ngs.phylo.genbank from tests import (assert_equal_bam_reads, TestCaseWithTmp, assert_equal_contents, assert_md5_equal_to_line_in_file, assert_valid_feature_table) class TestCommandHelp(unittest.TestCase): def test_help_parser_for_each_command(self): for cmd_name, parser_fun in viral_ngs.ncbi.__commands__: parser = parser_fun(argparse.ArgumentParser()) helpstring = parser.format_help() class TestFeatureReader(TestCaseWithTmp): def setUp(self): super(TestFeatureReader, self).setUp() self.input_dir = viral_ngs.core.file.get_test_input_path(self) def test_read_seq_id_simple(self): accessions = ('GU481072.1', 'GU481073.1', 'KM821772.1', 'KM821773.1') for acc in accessions: self.assertEqual(acc, viral_ngs.phylo.genbank.get_feature_table_id(os.path.join(self.input_dir, acc+'.tbl'))) def test_read_seq_id_different_fnames(self): self.assertEqual('KM821998.1', viral_ngs.phylo.genbank.get_feature_table_id(os.path.join(self.input_dir, 'test1-S.tbl'))) self.assertEqual('KM821997.1', viral_ngs.phylo.genbank.get_feature_table_id(os.path.join(self.input_dir, 'test2-L.tbl'))) def test_read_seq_id_refseq(self): self.assertEqual('NC_026438.1', viral_ngs.phylo.genbank.get_feature_table_id(os.path.join(self.input_dir, 'NC_026438.1.tbl'))) def test_read_seq_id_ddbj(self): self.assertEqual('LC889323.1', viral_ngs.phylo.genbank.get_feature_table_id(os.path.join(self.input_dir, 'LC889323.1.tbl'))) def test_seq_location_str_format(self): """Test SeqLocation string format - continuation lines should not have trailing tabs.""" from viral_ngs.phylo.feature_table import SeqLocation, SeqPosition # First line with feature type - should have 3 columns first = SeqLocation(SeqPosition(100), SeqPosition(200), feature_type='CDS') self.assertEqual(str(first), "100\t200\tCDS") # Continuation line without feature type - should have 2 columns, NO trailing tab continuation = SeqLocation(SeqPosition(300), SeqPosition(400), feature_type=None) self.assertEqual(str(continuation), "300\t400") # NOT "300\t400\t" class TestFeatureTransfer(TestCaseWithTmp): def setUp(self): super(TestFeatureTransfer, self).setUp() self.input_dir = viral_ngs.core.file.get_test_input_path(self) def test_synthetic_feature_table(self): input_dir = os.path.join(self.input_dir, "synthetic", "input") expected_dir = os.path.join(self.input_dir, "synthetic", "expected") temp_dir = tempfile.gettempdir() in_tbl = os.path.join(input_dir,"ref.tbl") out_tbl = os.path.join(temp_dir,"sample.tbl") expected = os.path.join(expected_dir, "mapped.tbl") ncbi.tbl_transfer_prealigned( os.path.join(input_dir,"aligned_1.fasta"), os.path.join(input_dir,"ref.fasta"), [in_tbl], temp_dir) assert_equal_contents(self, out_tbl, expected) def test_synthetic_feature_table_oob_clip(self): input_dir = os.path.join(self.input_dir, "synthetic_oob_clip", "input") expected_dir = os.path.join(self.input_dir, "synthetic_oob_clip", "expected") temp_dir = tempfile.gettempdir() in_tbl = os.path.join(input_dir,"ref.tbl") out_tbl = os.path.join(temp_dir,"sample.tbl") expected = os.path.join(expected_dir, "mapped.tbl") ncbi.tbl_transfer_prealigned( os.path.join(input_dir,"aligned_1.fasta"), os.path.join(input_dir,"ref.fasta"), [in_tbl], temp_dir, oob_clip=True) assert_equal_contents(self, out_tbl, expected) # Validate with table2asn assert_valid_feature_table( self, out_tbl, os.path.join(input_dir, "aligned_1.fasta"), temp_dir ) def test_synthetic_feature_table_ignore_ambiguous_edges(self): input_dir = os.path.join(self.input_dir, "synthetic_ignore_ambig_edges", "input") expected_dir = os.path.join(self.input_dir, "synthetic_ignore_ambig_edges", "expected") temp_dir = tempfile.gettempdir() in_tbl = os.path.join(input_dir,"ref.tbl") out_tbl = os.path.join(temp_dir,"sample.tbl") expected = os.path.join(expected_dir, "mapped.tbl") ncbi.tbl_transfer_prealigned( os.path.join(input_dir,"aligned_1.fasta"), os.path.join(input_dir,"ref.fasta"), [in_tbl], temp_dir, ignore_ambig_feature_edge=True) assert_equal_contents(self, out_tbl, expected) def test_severely_truncated_assembly_oob_clip(self): """Test annotation transfer with severely truncated assembly (adenovirus-like scenario). This reproduces issue #67 where a ~50% truncated assembly creates invalid feature table syntax with coordinates but no feature keys. """ input_dir = os.path.join(self.input_dir, "adenovirus_truncated", "input") expected_dir = os.path.join(self.input_dir, "adenovirus_truncated", "expected") temp_dir = tempfile.gettempdir() in_tbl = os.path.join(input_dir, "ref.tbl") out_tbl = os.path.join(temp_dir, "sample.tbl") expected = os.path.join(expected_dir, "mapped.tbl") ncbi.tbl_transfer_prealigned( os.path.join(input_dir, "aligned_1.fasta"), os.path.join(input_dir, "ref.fasta"), [in_tbl], temp_dir, oob_clip=True ) # Verify output is valid feature table syntax # First interval line has 3 fields (start, end, feature_type) # Continuation lines have exactly 2 fields (start, end) - NO trailing tab with open(out_tbl, 'r') as f: for line in f: line = line.rstrip('\n') if not line or line.startswith('>') or line.startswith('\t'): continue # Lines with coordinates must be properly tab-delimited parts = line.split('\t') if len(parts) >= 2 and parts[0] and parts[1]: # Must have 2 or 3 columns self.assertTrue(len(parts) in (2, 3), f"Invalid line (must have 2 or 3 tab-delimited fields): {line}") # If 3 columns, the 3rd must not be empty (that's a trailing tab) if len(parts) == 3: self.assertNotEqual(parts[2], '', f"Line has trailing tab (continuation lines should have 2 columns): {line}") assert_equal_contents(self, out_tbl, expected) # Validate with table2asn assert_valid_feature_table( self, out_tbl, os.path.join(input_dir, "aligned_1.fasta"), temp_dir ) def test_partial_symbols_column_placement(self): """Test that < only appears in column 1 and > only appears in column 2. Issue #72: Partial stop coordinates incorrectly used '<' instead of '>'. Per NCBI spec, '<' always goes in column 1, '>' always goes in column 2, regardless of strand. """ input_dir = os.path.join(self.input_dir, "negative_strand_partial", "input") expected_dir = os.path.join(self.input_dir, "negative_strand_partial", "expected") temp_dir = tempfile.gettempdir() in_tbl = os.path.join(input_dir, "ref.tbl") out_tbl = os.path.join(temp_dir, "sample.tbl") expected = os.path.join(expected_dir, "mapped.tbl") ncbi.tbl_transfer_prealigned( os.path.join(input_dir, "aligned_1.fasta"), os.path.join(input_dir, "ref.fasta"), [in_tbl], temp_dir, oob_clip=True ) # Verify partial symbols are in correct columns per NCBI spec with open(out_tbl, 'r') as f: for line_num, line in enumerate(f, 1): line = line.rstrip('\n') if not line or line.startswith('>Feature') or line.startswith('\t'): continue parts = line.split('\t') if len(parts) >= 2: col1, col2 = parts[0], parts[1] # < must only appear in column 1 (start position) self.assertFalse(col2.startswith('<'), f"Line {line_num}: '<' in column 2 is invalid per NCBI spec (must be '>'): {line}") # > must only appear in column 2 (end position) self.assertFalse(col1.startswith('>'), f"Line {line_num}: '>' in column 1 is invalid per NCBI spec (must be '<'): {line}") assert_equal_contents(self, out_tbl, expected) # Validate with table2asn assert_valid_feature_table( self, out_tbl, os.path.join(input_dir, "aligned_1.fasta"), temp_dir ) def test_internal_partials_dropped(self): """Test that multi-interval features with internal partials are dropped. Issue #74: table2asn rejects features where partial symbols appear on internal intervals rather than the true 5'/3' ends. When a multi-interval feature is truncated such that a partial symbol would appear on an internal interval, the entire feature should be dropped. """ input_dir = os.path.join(self.input_dir, "internal_partials", "input") expected_dir = os.path.join(self.input_dir, "internal_partials", "expected") temp_dir = tempfile.gettempdir() in_tbl = os.path.join(input_dir, "ref.tbl") out_tbl = os.path.join(temp_dir, "sample.tbl") expected = os.path.join(expected_dir, "mapped.tbl") ncbi.tbl_transfer_prealigned( os.path.join(input_dir, "aligned_1.fasta"), os.path.join(input_dir, "ref.fasta"), [in_tbl], temp_dir, oob_clip=True ) # Feature with internal partials should be dropped entirely assert_equal_contents(self, out_tbl, expected) # Validate with table2asn - should pass since feature was dropped assert_valid_feature_table( self, out_tbl, os.path.join(input_dir, "aligned_1.fasta"), temp_dir ) def test_lasv_oob_clip(self): input_dir = os.path.join(self.input_dir, "lasv", "input") expected_dir = os.path.join(self.input_dir, "lasv", "expected") temp_dir = tempfile.gettempdir() infastas = [os.path.join(input_dir, f) for f in [ "align_mafft-ref-lasv-ISTH2376_1.fasta", "align_mafft-ref-lasv-ISTH2376_2.fasta" ] ] intables =[os.path.join(input_dir, f) for f in [ "KM821997.1.tbl", "KM821998.1.tbl" ] ] out_table_names = [ "LASV_NGA_2018_0026-1.tbl", "LASV_NGA_2018_0026-2.tbl", "LASV_NGA_2018_0097-1.tbl", "LASV_NGA_2018_0097-2.tbl", "LASV_NGA_2018_0541-1.tbl", "LASV_NGA_2018_0541-2.tbl", "LASV_NGA_2018_0611-1.tbl", "LASV_NGA_2018_0611-2.tbl", "LASV_NGA_2018_0664-1.tbl", "LASV_NGA_2018_0664-2.tbl", "LASV_NGA_2018_0959-1.tbl", "LASV_NGA_2018_0959-2.tbl", "LASV_NGA_2018_0998-1.tbl", "LASV_NGA_2018_0998-2.tbl", "LASV_NGA_2018_1024-1.tbl", "LASV_NGA_2018_1024-2.tbl", "LASV_NGA_2018_1079-1.tbl", "LASV_NGA_2018_1079-2.tbl", "LASV_NGA_2018_1177-1.tbl", "LASV_NGA_2018_1177-2.tbl", "LASV_NGA_2018_1375-1.tbl", "LASV_NGA_2018_1375-2.tbl", "LASV_NGA_2018_1381-1.tbl", "LASV_NGA_2018_1381-2.tbl", "LASV_NGA_2018_1392-1.tbl", "LASV_NGA_2018_1392-2.tbl", "LASV_NGA_2018_1643-1.tbl", "LASV_NGA_2018_1643-2.tbl" ] out_tbls =[os.path.join(temp_dir, f) for f in out_table_names] expected_tbls = [os.path.join(expected_dir, f) for f in out_table_names] for i in range(0, len(infastas)): ncbi.tbl_transfer_prealigned( infastas[i], os.path.join(input_dir,"ref-lasv-ISTH2376.fasta"), intables, temp_dir, oob_clip=True) for i in range(0,len(out_table_names)): out_tbl = out_tbls[i] expected_tbl = expected_tbls[i] assert_equal_contents(self, out_tbl, expected_tbl) ================================================ FILE: tests/unit/phylo/test_tools.py ================================================ # Unit tests for tools/__init__.py __author__ = "yesimon@broadinstitute.org" import pytest import viral_ngs.core from viral_ngs.core import Tool, PrexistingUnixCommand @pytest.fixture(params=viral_ngs.core.all_tool_classes()) def tool_class(request): return request.param @pytest.mark.slow def test_tool_install(tool_class): t = tool_class() t.install() assert t.is_installed() ================================================ FILE: tests/unit/phylo/test_tools_vphaser2.py ================================================ # Unit tests for vphaser tool __author__ = "irwin@broadinstitute.org" import os import pickle import unittest import viral_ngs.core.file import viral_ngs.core from viral_ngs.intrahost import vphaser_main from tests import TestCaseWithTmp, _CPUS #@unittest.skipIf(viral_ngs.core.is_osx(), "vphaser2 osx binary from bioconda has issues") @unittest.skip("vphaser2 behaving unpredictably; not used in WDL pipelines") class TestVPhaser2(TestCaseWithTmp): def test_vphaser2(self): myInputDir = viral_ngs.core.file.get_test_input_path(self) inBam = os.path.join(myInputDir, 'in.bam') outTab = viral_ngs.core.file.mkstempfname('.txt') vphaser_main(inBam, outTab, numThreads=_CPUS) with open(outTab, 'rt') as outf: recs = map(lambda s: s.strip('\n').split('\t'), outf.readlines()) with open(os.path.join(myInputDir, 'expected.cpickle'), 'rb') as expf: expectedRecs = pickle.load(expf) # Vphaser2 p-val calculation is unstable and sometimes varies from # run to run, so exclude it from comparison. self.assertEqual([rec[:4] + rec[5:] for rec in recs], [rec[:4] + rec[5:] for rec in expectedRecs]) """ Creation of in.bam: Start with test file that ships with V-Phaser 2. cp 4528.454.indelRealigned.bam orig.bam samtools index orig.bam samtools view -h orig.bam V4528_assembly:1-100 V4528_assembly:950-1050 >c1.sam samtools view -h orig.bam V4528_assembly:8950-9050 V4528_assembly:9900-9950 >c2.sam Change all occurences of V4528_assembly in c1.sam to chr1, Change all occurences of V4528_assembly in c2.sam to chr2, Move the @SQ line from c2.sam to c1.sam and delete header of c2.sam. cat c1.sam c2.sam >new.sam samtools view -bh new.sam >new.bam Creation of expected.cpickle: cPickle.dump(list(Vphaser2Tool().iterate(inBam, numThreads = 8)), open('expected.cpickle', 'w')) """ ================================================ FILE: tests/unit/phylo/test_util_vcf.py ================================================ # Unit tests for util/vcf.py __author__ = "dpark@broadinstitute.org" import viral_ngs.phylo.vcf import viral_ngs.core.file import unittest ''' TODO make_intervals sliding_windows calc_maf TabixReader - edge cases in a simple file VcfReader - proper one-based genomic coordinates VcfReader - haploid cases, diploid cases VcfReader.getFullSequences and replaceAlleles - this needs a whole battery of tests, since it does so much and is subject to so many edge cases and weird scenarios and keeps breaking each time we refactor. ''' class StubGenome: ''' This is a mock genome that should satisfy very simple functions in phylo.vcf like get_chrlens, GenomePosition, make_intervals, sliding_windows, etc. It simply contains a list of chromosome names and lengths. ''' def __init__(self, chromlist): self.chrs = [c for c, clen in chromlist] self.chrlen = dict(chromlist) self.totlen = sum(clen for c, clen in chromlist) def chrlens(self): return [(c, self.chrlen[c]) for c in self.chrs] class TestGenomePosition(unittest.TestCase): ''' Test the GenomePosition class which maps chr,pos pairs to a single gpos int and vice versa ''' def test_fail_OOB_get_gpos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) invalids = [('SDF', 0), ('SDF', 124), ('ASDF', -1), ('lala', 48), ('lala', 200), ('sdf', 80), ('la', 2), (None, 3)] gmap = viral_ngs.phylo.vcf.GenomePosition(genome) for c, p in invalids: self.assertRaises(Exception, gmap.get_gpos, c, p) def test_fail_OOB_get_chr_pos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) invalids = [0, -1, genome.totlen + 1, genome.totlen * 2] gmap = viral_ngs.phylo.vcf.GenomePosition(genome) for gpos in invalids: self.assertRaises(Exception, gmap.get_chr_pos, gpos) def test_fail_non_int_pos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) invalids = [('SDF', 5.3), ('lala', '10'), ('ASDF', None)] gmap = viral_ngs.phylo.vcf.GenomePosition(genome) for c, p in invalids: self.assertRaises(Exception, gmap.get_gpos, c, p) self.assertRaises(Exception, gmap.get_chr_pos, p) def test_spotcheck_edges(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) knowns = [('SDF', 1, 1), ('SDF', 123, 123), ('ASDF', 1, 124), ('ASDF', 256, 379), ('lala', 1, 380), ('lala', 47, 426)] gmap = viral_ngs.phylo.vcf.GenomePosition(genome) for c, p, gpos in knowns: self.assertEqual(gpos, gmap.get_gpos(c, p)) self.assertEqual((c, p), gmap.get_chr_pos(gpos)) def test_equality_1chrGenome(self): genome = StubGenome([('one chr', 10)]) c = genome.chrs[0] gmap = viral_ngs.phylo.vcf.GenomePosition(genome) for i in range(1, genome.totlen + 1): self.assertEqual(i, gmap.get_gpos(c, i)) # c,p -> gpos should produce p=gpos self.assertEqual((c, i), gmap.get_chr_pos(i)) # gpos -> c,p should produce p=gpos def test_equality_3chrGenome(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.phylo.vcf.GenomePosition(genome) # test gpos -> c,p -> same gpos for gpos in range(1, genome.totlen + 1): c, p = gmap.get_chr_pos(gpos) gpos2 = gmap.get_gpos(c, p) self.assertEqual(gpos, gpos2) # test c,p -> gpos -> same c,p for c, clen in genome.chrlen.items(): for p in range(1, clen + 1): gpos = gmap.get_gpos(c, p) c2, p2 = gmap.get_chr_pos(gpos) self.assertEqual(c, c2) self.assertEqual(p, p2) def test_gpos_inbounds(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.phylo.vcf.GenomePosition(genome) for c, clen in genome.chrlen.items(): for p in range(1, clen + 1): gpos = gmap.get_gpos(c, p) self.assertIsNotNone(gpos) self.assertIsInstance(gpos, int) self.assertLessEqual(1, gpos) self.assertLessEqual(gpos, genome.totlen) def test_chr_pos_inbounds(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.phylo.vcf.GenomePosition(genome) for gpos in range(1, genome.totlen + 1): c, p = gmap.get_chr_pos(gpos) self.assertIsNotNone(c) self.assertIn(c, genome.chrlen) self.assertIsNotNone(p) self.assertIsInstance(p, int) self.assertLessEqual(1, p) self.assertLessEqual(p, genome.chrlen[c]) def test_unique_gpos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.phylo.vcf.GenomePosition(genome) seen = set() for c, clen in genome.chrlen.items(): for p in range(1, clen + 1): gpos = gmap.get_gpos(c, p) self.assertNotIn(gpos, seen) seen.add(gpos) self.assertEqual(len(seen), genome.totlen) def test_unique_chr_pos(self): genome = StubGenome([('SDF', 123), ('ASDF', 256), ('lala', 47)]) gmap = viral_ngs.phylo.vcf.GenomePosition(genome) seen = set() for gpos in range(1, genome.totlen + 1): c, p = gmap.get_chr_pos(gpos) self.assertNotIn((c, p), seen) seen.add((c, p)) self.assertEqual(len(seen), genome.totlen) class TestVcfReaderPositions(unittest.TestCase): ''' Test the OBO errors in the pysam-based VCFReader class (it's prone to such errors) ''' def setUp(self): self.vcf_fname = viral_ngs.core.file.get_test_path() + '/input/one_gene.vcf.gz' self.vcf_window = ('Pf3D7_13_v3', 1724817, 1726997) try: self.basestring = basestring except NameError: self.basestring = str def test_sample_names(self): expected = ['3D7', 'SenT001.08', 'SenT001.11', 'SenT002.07', 'SenT002.09'] vcfdb = viral_ngs.phylo.vcf.VcfReader(self.vcf_fname) self.assertEqual(expected, vcfdb.samples()) for s in vcfdb.samples(): self.assertIsInstance(s, self.basestring) def test_get_one_base(self): vcfdb = viral_ngs.phylo.vcf.VcfReader(self.vcf_fname) genos = vcfdb.get_snp_genos(self.vcf_window[0], 1726432) alleles = [genos[s] for s in vcfdb.samples()] expected = ['T', 'T', 'T', 'G', 'T'] self.assertEqual(expected, alleles) for a in alleles: self.assertIsInstance(a, self.basestring) def test_get_positions_edges(self): vcfdb = viral_ngs.phylo.vcf.VcfReader(self.vcf_fname) out = list(vcfdb.get_positions(self.vcf_window[0])) self.assertEqual(out[0][1], self.vcf_window[1]) self.assertEqual(out[-1][2], self.vcf_window[2]) def test_get_range_edges(self): vcfdb = viral_ngs.phylo.vcf.VcfReader(self.vcf_fname) out = [p for c, p, alleles, genos in vcfdb.get_range(self.vcf_window[0])] self.assertEqual(out[0], self.vcf_window[1]) self.assertEqual(out[-1], self.vcf_window[2])