Repository: BioOmics/iSeq Branch: main Commit: fb3f19bdbedc Files: 24 Total size: 1.2 MB Directory structure: gitextract_o5hgf_3g/ ├── INSTALL.md ├── LICENSE ├── README.md ├── bin/ │ └── iseq ├── docs/ │ ├── ChineseTutorial.md │ ├── Examples.md │ └── benchmark/ │ ├── README.md │ ├── TestFasterqDump/ │ │ ├── testFasterqDump.log │ │ └── timefasterqDump.sh │ ├── TestiSeq-2GB/ │ │ ├── TestiSeq-2GB.bash │ │ ├── timeENA.log │ │ ├── timeFQ.log │ │ ├── timeGSAFTP.log │ │ ├── timeGSAHW.log │ │ └── timeSRA.log │ ├── TestiSeq-540MB/ │ │ ├── TestiSeq-540MB.bash │ │ ├── timeENA.log │ │ ├── timeFQ.log │ │ ├── timeGSAFTP.log │ │ ├── timeGSAHW.log │ │ └── timeSRA.log │ ├── benchmark.ipynb │ └── iSeq-Table S1.xlsx └── iSeq.yml ================================================ FILE CONTENTS ================================================ ================================================ FILE: INSTALL.md ================================================ ## Install the latest version of iSeq ```bash version="1.9.8" wget "https://github.com/BioOmics/iSeq/releases/download/v${version}/iSeq-v${version}.tar.gz" tar -zvxf "iSeq-v${version}.tar.gz" cd iSeq-v${version}/bin/ chmod +x iseq echo 'export PATH=$PATH:'$(pwd) >> ~/.bashrc source ~/.bashrc ``` Anyway, as long as you install the following dependencies and **add them to the environment variables**, **iSeq** can be used. - [pigz](https://github.com/madler/pigz) (>=2.8), compressing FASTQ files into gzip format by multiple threads - [wget](https://www.gnu.org/software/wget/) (>=1.16), downloading files by ftp or http - [axel](https://github.com/axel-download-accelerator/axel) (>=2.17), downloading files by multiple threads - [aspera](https://github.com/IBM/aspera-cli) (=4.4.0), downloading files by Aspera - [sra-tools](https://github.com/ncbi/sra-tools) (>=2.11.0), fetching SRA download links ```{bash} # all softwares can be installed by conda conda create -n iseq -c conda-forge -c bioconda pigz wget axel aspera-cli sra-tools # Check sotfware version pigz --version | awk 'NR==1{print $2}' wget --version | awk 'NR==1{print $3}' axel --version | awk 'NR==1{print $2}' ascp --version | awk 'NR==2{print $3}' srapath --version | awk 'NR==2{print $3}' # Use the following command to check whether dependent software is installed iseq --version ``` > [!IMPORTANT] > Using **Ubuntu on Windows**, installing `Wget` through `conda` may lead to "unable to resolve host address", which in turn may prevent `iSeq` from fetching data. You can don't install `wget` by `conda`. Or, this issue also can be resolved by following command: > ```bash > conda activate iseq > # Map the system's built-in wget to the conda environment, ensuring that wget is properly installed. > ln -sf /usr/bin/wget $(which wget) > # Including the 'srapath'. you can install SRA Toolkit and then change the path below to your own. > ln -sf ~/YourPathway/sratoolkit/bin/srapath $(which srapath) ## How to install dependencies from source on Linux/macOS ### 1. pigz - Source install (non-Root) ```bash wget https://zlib.net/pigz/pigz.tar.gz tar -zvxf pigz.tar.gz cd pigz make echo 'export PATH=$PATH:'$(pwd) >> ~/.bashrc source ~/.bashrc # Check sotfware version pigz --version | awk 'NR==1{print $2}' ``` - apt install for Ubuntu (Root permission required) ```bash sudo apt install pigz ``` - yum install for Centos (Root permission required) ```bash sudo yum install pigz ``` - brew install for macOS (non-Root) ```bash brew install pigz ``` ### 2. wget **`wget` is generally included in most Linux distributions and does not need to be installed by ourselves** - Source install (non-Root) ```bash wget https://ftp.gnu.org/gnu/wget/wget-latest.tar.gz tar -zvxf wget-latest.tar.gz cd wget-1.24.5 # change software version ./configure --prefix=$(pwd) make cd src echo 'export PATH=$PATH:'$(pwd) >> ~/.bashrc source ~/.bashrc # Check sotfware version wget --version | awk 'NR==1{print $3}' ``` - apt install for Ubuntu (Root permission required) ```bash sudo apt install wget ``` - yum install for Centos (Root permission required) ```bash sudo yum install wget ``` - brew install for macOS (non-Root) ```bash brew install wget ``` ### 3. axel - Source install (non-Root) ```bash # see "https://github.com/axel-download-accelerator/axel/releases" to fetch the latest version of axel wget https://github.com/axel-download-accelerator/axel/releases/download/v2.17.14/axel-2.17.14.tar.gz tar -zvxf axel-2.17.14.tar.gz # change software version cd axel-2.17.14 # change software version ./configure --prefix=$(pwd) make && make install echo 'export PATH=$PATH:'$(pwd) >> ~/.bashrc source ~/.bashrc # Check sotfware version axel --version | awk 'NR==1{print $2}' ``` - apt install for Ubuntu (Root permission required) ```bash sudo apt install axel ``` - yum install for Centos (Root permission required) ```bash sudo yum install axel ``` - brew install for macOS (non-Root) ```bash brew install axel ``` ### 4. aspera - Source install (only support non-Root) ```bash # see "https://www.ibm.com/aspera/connect" to fetch the latest version of aspera wget https://d3gcli72yxqn2z.cloudfront.net/downloads/connect/latest/bin/ibm-aspera-connect_4.2.8.540_linux_x86_64.tar.gz tar -zvxf ibm-aspera-connect_4.2.8.540_linux_x86_64.tar.gz # change software version bash ibm-aspera-connect_4.2.8.540_linux_x86_64.sh # change software version echo 'export PATH=$PATH:~/.aspera/connect/bin' >> ~/.bashrc source ~/.bashrc # Check sotfware version ascp --version | awk 'NR==2{print $3}' ``` - brew & ruby install for macOS (non-Root) ```bash brew install ruby export PATH="$HOMEBREW_PREFIX/opt/ruby/bin:$PATH" gem install aspera-cli export PATH="$HOMEBREW_PREFIX/lib/ruby/gems/3.4.0/bin:$PATH" ascli config ascp install mkdir -p $HOME/.local/bin cp $HOME/.aspera/sdk/ascp $HOME/.local/bin ``` ### 5. sra-tools - Source install (non-Root) ```bash # see "https://ftp-trace.ncbi.nlm.nih.gov/sra/sdk/current" to choose the appropriate platform # e.g. for Ubuntu wget https://ftp-trace.ncbi.nlm.nih.gov/sra/sdk/current/sratoolkit.current-ubuntu64.tar.gz tar -zvxf sratoolkit.current-ubuntu64.tar.gz cd sratoolkit.3.1.0-ubuntu64/bin/ # change software version echo 'export PATH=$PATH:'$(pwd) >> ~/.bashrc source ~/.bashrc # Check sotfware version srapath --version | awk 'NR==2{print $3}' ``` - brew install for macOS (non-Root) ```bash brew install sratoolkit ``` ## Check iSeq version finally ```bash iseq --version ``` ================================================ FILE: LICENSE ================================================ MIT License Copyright (c) 2024 BioOmics 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 ================================================ [![Anaconda-Server Badge](https://anaconda.org/bioconda/iseq/badges/version.svg)](https://anaconda.org/bioconda/iseq) [![Anaconda-Server Badge](https://anaconda.org/bioconda/iseq/badges/downloads.svg)](https://anaconda.org/bioconda/iseq) [![Anaconda-Server Badge](https://anaconda.org/bioconda/iseq/badges/latest_release_date.svg)](https://anaconda.org/bioconda/iseq) [![Anaconda-Server Badge](https://anaconda.org/bioconda/iseq/badges/license.svg)](https://anaconda.org/bioconda/iseq) [![Anaconda-Server Badge](https://anaconda.org/bioconda/iseq/badges/platforms.svg)](https://anaconda.org/bioconda/iseq) [![GitHub Downloads](https://img.shields.io/github/downloads/BioOmics/iSeq/total.svg?style=social&logo=github&label=Download)](https://github.com/BioOmics/iSeq/releases) # [iSeq](https://github.com/BioOmics/iSeq): An [i](https://github.com/BioOmics/iSeq)ntegrated tool to fetch public [Seq](https://github.com/BioOmics/iSeq)uencing data **Cite us**: Haoyu Chao, Zhuojin Li, Dijun Chen, Ming Chen, iSeq: An integrated tool to fetch public sequencing data, ***Bioinformatics***, 2024, btae641, https://doi.org/10.1093/bioinformatics/btae641 ## Description **iSeq** is a Bash script that allows you to download sequencing data and metadata from **[GSA](https://ngdc.cncb.ac.cn/gsa/)**, **[SRA](https://www.ncbi.nlm.nih.gov/sra/)**, **[ENA](https://www.ebi.ac.uk/ena/)**, and **[DDBJ](https://www.ddbj.nig.ac.jp/)** databases. See [Detail Pipeline](https://github.com/BioOmics/iSeq/blob/main/docs/img/iSeq-Pipeline-Detail.png) for iSeq. Here is the basic pipeline of iSeq: ![iSeq-pipeline](https://github.com/BioOmics/iSeq/blob/main/docs/img/iSeq-Pipeline.png) > [!IMPORTANT] > To use iSeq, Your system must be **connected to the network** and **support FTP, HTTP, and HTTPS protocols**. ## Update Notes: ### 2025.11.20 - **⚠️Update Notice**: Due to recent changes in the **GSA API**, we have updated the way iseq retrieves metadata. The metadata fetching process has been modified accordingly to ensure compatibility with the latest GSA API. **Everyone please update iSeq version (≥ 1.9.8)**
More Updates ### 2025.10.21 - **New `-Q`, `--quiet` option**: Added this option to suppress download progress bars. Useful when logging clean outputs. - Fixed a bug where `--database` option failed to switch when ENA was inaccessible. - If the MD5 check ultimately fails, delete the partially downloaded files. ### 2025.10.09 - Fixed a bug when checking md5 of SRA files. ### 2025.09.04 - **⚠️Update Notice**: Due to recent changes in the **ENA API**, we have updated the way iseq retrieves metadata. The metadata fetching process has been modified accordingly to ensure compatibility with the latest ENA API. **Everyone please update iSeq version (≥ 1.9.5)** ### 2025.07.22 - **New `-r`, `--protocol` option** to specify the protocol only when downloading files from ENA. ### 2025.06.16 - When using `-e`, `--merge`, create symbolic links or retain the original Run files to avoid re-downloading them after merging. - Fixed the issue mentioned in [#40](https://github.com/BioOmics/iSeq/issues/40): modified the behavior so that batch downloads do not terminate upon encountering an error, and instead continue until all items are processed. - Added an error message when download failures occur, such as `Download failures detected, please check fail.log for details.` - Fixed a bug where incomplete downloads from GSA were incorrectly reported as successful. ### 2025.05.23 - Fixed the issue mentioned in [#39](https://github.com/BioOmics/iSeq/issues/39). The problem was that using both `-d sra` and `-g` together would skip the MD5 check in `vdb-validate`. - **New `-k`, `--skip-md5` option**: Added this option to disable MD5 checks. ### 2025.04.25 - Fixed a bug that occurred when re-downloading with empty metadata. - Fixed a bug where the while loop exited abnormally with a non-zero exit code. ### 2025.04.22 - Fixed the issue mentioned in [#33](https://github.com/BioOmics/iSeq/issues/33). `-s`, `--speed` re-enable use. - Fix the exception when the metadata file is empty, mentioned in [#34](https://github.com/BioOmics/iSeq/issues/34) - Bug fix to resolve the issue of MD5 checksum failure when downloading ONT or HiFi third-generation sequencing gzip data. ### 2025.04.02 - Fixed the issue mentioned in [#27](https://github.com/BioOmics/iSeq/issues/27) and [Rednote](http://xhslink.com/a/A0TnUnKlvVg9): In `sra-tools` > 3.0.0, running `vdb-validate` without specifying the SRA file path causes it to re-download the file, leading to a stuck process. Specifying the path (e.g., `vdb-validate ./SRR931847`) resolves the issue. ### 2025.03.14 - Fixed the issue mentioned in [#26](https://github.com/BioOmics/iSeq/issues/26#issuecomment-2721427208). The cause was that the data was `paired-end` but had only `one link`, such as `SRR23680070`. ### 2025.03.11 - Input file can contain accessions from different databases. - `-p` and `-a` can be used simultaneously , with `-a` taking priority. - Fixed some bugs when retrying download data from GSA. ### 2024.12.26 - Fixed the bugs mentioned in [#16](https://github.com/BioOmics/iSeq/issues/16), [#17](https://github.com/BioOmics/iSeq/issues/17) (2024.12.16) and https://github.com/BioOmics/iSeq/issues/19 (2024.12.26). ### 2024.11.21 - **Dependency update for aspera-cli**: The version requirement for aspera-cli has been updated from `aspera-cli` to `aspera-cli=4.14.0`. ### 2024.10.23 - **New `-s`, `--speed` option** to set the download speed limit (MB/s) (default: 1000 MB/s). Such as `iseq -i SRR7706354 -s 10` - **Dependency update for sra-tools**: The version requirement for sra-tools has been updated from `sra-tools=2.11` to `sra-tools>=2.11.0`. ### 2024.09.14 - **New `-e` option for merging FASTQ files**: Added a `-e` option to merge multiple FASTQ files into a single file for each `Experiment (-e ex)`, `Sample (-e sa)`, or `Study (-e st)`. - **New `-i` option for input**: `iSeq` can now accept a `file` containing multiple accession numbers as input by `-i fileName`. - **API change for GSA metadata download**: The API endpoint has been updated from `getRunInfo` to `getRunInfoByCra` for downloading GSA metadata. - **Save result to personal directory**: The output results will now be saved in the user's personal directory by `-o` option. - **Updated regex for SAMC matching**: The matching pattern for SAMC has been changed from `SAMC[A-Z]?[0-9]+` to `SAMC[0-9]+`. - **Fix some bugs**
## Features - **Multiple Database Support**: Supports multiple bioinformatics databases (GSA/SRA/ENA/DDBJ/GEO). - **Multiple Input Formats**: Supports multiple accessions (Project, Study, Sample, Experiment, or Run accession). - **Metadata Download**: Supports download sample metadata for each accession.
More features - **File Format Selection**: Users can choose to directly download gzip-formatted FASTQ files or download SRA files and convert them to FASTQ format. - **Multi-threading Support**: Supports the use of multi-threading to accelerate the conversion of SRA to FASTQ files or the compression of FASTQ files. - **File Merging**: For experiment-level accession, the script can merge multiple FASTQ files into one. - **Parallel Download**: Supports parallel download connections, allowing the specification of the number of connections to speed up download speeds. - **Support for Aspera High-speed Download**: For GSA/ENA databases, the script supports high-speed data transfer using Aspera. - **Automatic Retry Mechanism**: If a download or verification fails, the script will automatically retry until a set number of attempts have been reached. - **Automated File Verification**: After the download is complete, the script will automatically verify the integrity of the files, including checking file sizes and MD5 checksums. - **Error Handling**: The script provides error messages and suggestions for solutions when encountering errors.
## Installation ### 1. **iSeq** can be installed by conda easily ```{bash} conda install bioconda::iseq ``` - If conda Found conflicts! You can try `conda install -c conda-forge -c bioconda iseq` ### 2. The latest version of iSeq can also be installed from source, see [INSTALL](https://github.com/BioOmics/iSeq/blob/main/INSTALL.md) ```{bash} # Use the following command to check whether dependent software is installed iseq --version ``` ## Example ([See more](https://github.com/BioOmics/iSeq/blob/main/docs/Examples.md)) 1. Download all Run sequencing data and metadata associated with an accession. ``` iseq -i PRJNA211801 ``` ![e01](./docs/img/e01.png) 2. Batch download by Aspera with `-a` to directly download gzip-formatted FASTQ files with `-g`. ```bash iseq -i SRR_Acc_List.txt -a -g ``` ![e13](./docs/img/e13.png) ## Usage ([中文教程](https://github.com/BioOmics/iSeq/blob/main/docs/ChineseTutorial.md)✨) ```{bash} $ iseq --help Usage: iseq -i accession [options] Required option: -i, --input [text|file] Single accession or a file containing multiple accessions. Note: Only one accession per line in the file Optional options: -m, --metadata Skip the sequencing data downloads and only fetch the metadata for the accession. -g, --gzip Download FASTQ files in gzip format directly (*.fastq.gz). Note: if *.fastq.gz files are not available, SRA files will be downloaded and converted to *.fastq.gz files. -q, --fastq Convert SRA files to FASTQ format. -t, --threads int The number of threads to use for converting SRA to FASTQ files or compressing FASTQ files (default: 8). -e, --merge [ex|sa|st] Merge multiple fastq files into one fastq file for each Experiment, Sample or Study. -d, --database [ena|sra] Specify the database to download SRA sequencing data (default: ena). Note: new SRA files may not be available in the ENA database, even if you specify "ena". -p, --parallel int Download sequencing data in parallel, the number of connections needs to be specified, such as -p 10. Note: breakpoint continuation cannot be shared between different numbers of connections. -a, --aspera Use Aspera to download sequencing data, only support GSA/ENA database. -s, --speed int Download speed limit (MB/s) (default: 1000 MB/s). -k, --skip-md5 Skip the md5 check for the downloaded files. -r, --protocol [ftp|https] Specify the protocol only when downloading files from ENA (default: ftp). -Q, --quiet Suppress download progress bars. -o, --output text The output directory. If not exists, it will be created (default: current directory). -h, --help Show the help information. -v, --version Show the script version. ``` ### 1. `-i`, `--input` Input the accession you want to download, You also can input a file containing multiple accessions (Only one accession per line in the file). ```bash iseq -i PRJNA211801 ``` Firstly, **iSeq** will retrieve the metadata of the accession, then proceed to download each Run contained within. Currently **supports 6 accession formats** from the following **5 databases**, with supported accession prefixes as follows: | Databases | BioProject | Study | BioSample | Sample | Experiment | Run | | --------- | ---------- | ----- | --------- | ------ | ---------- | ---- | | **GSA** | PRJC | CRA | SAMC | \ | CRX | CRR | | **SRA** | PRJNA | SRP | SAMN | SRS | SRX | SRR | | **ENA** | PRJEB | ERP | SAME | ERS | ERX | ERR | | **DDBJ** | PRJDB | DRP | SAMD | DRS | DRX | DRR | | **GEO** | GSE | \ | GSM | \ | \ | \ | Additionally, for the two data formats (`GSE/GSM`) from the GEO database, it will directly retrieve the associated `PRJNA/SAMN`, then proceed to obtain the contained Runs and download the sequencing data. Therefore, essentially, it still downloads sequencing data from the SRA database. Here are some examples: | Accession Type | Prefixes | Example | | -------------- | ------------------------------ | ----------------------------------------------------------- | | BioProject | PRJEB, PRJNA, PRJDB, PRJC, GSE | PRJEB42779, PRJNA480016, PRJDB14838, PRJCA000613, GSE122139 | | Study | ERP, DRP, SRP, CRA | ERP126685, DRP009283, SRP158268, CRA000553 | | BioSample | SAMD, SAME, SAMN, SAMC | SAMD00258402, SAMEA7997453, SAMN06479985, SAMC017083 | | Sample | ERS, DRS, SRS, GSM | ERS5684710, DRS259711, SRS2024210, GSM7417667 | | Experiment | ERX, DRX, SRX, CRX | ERX5050800, DRX406443, SRX4563689, CRX020217 | | Run | ERR, DRR, SRR, CRR | ERR5260405, DRR421224, SRR7706354, CRR311377 | In summary, regardless of the data format of your accession among the six options, it will eventually download and **check the MD5 value** of each contained Run. If the MD5 value does not match that in the public database, it will attempt a maximum of **three rounds** of re-downloading. If successful after three attempts of downloading and verification, the file name will be stored in `success.log`; otherwise, if the download fails, the file name will be stored in `fail.log`. ### 2. `-m`, `--metadata ` Download only the sample information of the accession and skip the download of sequencing data. ```bash iseq -i PRJNA211801 -m iseq -i CRR343031 -m ``` Therefore, regardless of whether the `-m` parameter is used or not, the sample information of the accession will be obtained. If metadata cannot be retrieved, the **iSeq** program will exit without proceeding to the subsequent download. > [!NOTE] > **Note 1**: If the retrieved accession is in the **SRA/ENA/DDBJ/GEO** databases, **iSeq** will first search in the ENA database. If sample information can be retrieved, it will download metadata in **`TSV` format** via the [ENA API](https://www.ebi.ac.uk/ena/portal/api/swagger-ui/index.html), typically containing 191 columns. However, some recently released data in the SRA database may not be promptly synchronized to the ENA database. Therefore, if metadata cannot be obtained from the ENA database, **iSeq** will directly download metadata in **`CSV` format** via the [SRA Database Backend](https://trace.ncbi.nlm.nih.gov/Traces/sra-db-be/), typically containing 30 columns. To maintain consistency with the TSV format, it will be converted to TSV format using `sed -i 's/,/\t/g'`. However, if a single field contains a comma, it may cause column disorder. Ultimately, you will obtain sample information named **`${accession}.metadata.tsv`**. > [!NOTE] > **Note 2**: If the retrieved accession is in the **GSA** database, **iSeq** will obtain sample information via GSA's [getRunInfo](https://ngdc.cncb.ac.cn/gsa/search/getRunInfo) interface, downloading metadata in **`CSV` format**, typically containing 25 columns. The metadata obtained above will be saved as `${accession}.metadata.csv`. To supplement more detailed metadata information, iSeq will automatically obtain metadata information for the Project to which the accession belongs via GSA's [exportExcelFile](https://ngdc.cncb.ac.cn/gsa/file/exportExcelFile) interface, downloading metadata in **`XLSX`** format, typically with 3 sheets: `Sample`, `Experiment`, `Run`. The final metadata information will be saved as `${accession}.metadata.xlsx`. In summary, you will ultimately obtain sample information named **`${accession}.metadata.csv`** and **`CRA*.metadata.xlsx`**. ### 3. `-g`, `--gzip` Directly download FASTQ files in **gzip format**. If direct download is not possible, SRA files will be downloaded and converted to gzip format using multi-threading for decomposition and compression. ```bash iseq -i SRR1178105 -g ``` Since the majority of data formats stored directly in the **GSA** database are in gzip format, if the accession being searched for is from the GSA database, whether the `-g` parameter is used or not, you can directly download FASTQ files in gzip format. If the accession is from the **SRA/ENA/DDBJ/GEO** databases, **iSeq** will first attempt to access the ENA database. If it can directly download FASTQ files in gzip format, it will do so; otherwise, it will download SRA files and convert them to FASTQ format using the `fasterq-dump` tool, then compress the FASTQ files using the `pigz` tool, ultimately obtaining FASTQ files in gzip format. > [!TIP] > [parallel-fastq-dump](https://github.com/rvalieris/parallel-fastq-dump) can also convert SRA to gzip-compressed FASTQ files, typically **2-3 times** faster than `fasterq-dump + pigz`. However, considering **IO limitations**, `iSeq` currently does not support `parallel-fastq-dump`. ### 4. `-q`, `--fastq` After downloading the SRA files, they will be decomposed into multiple **uncompressed FASTQ** files. ```bash iseq -i SRR1178105 -q ``` This parameter is only effective when the accession is from the **SRA/ENA/DDBJ/GEO** databases and the downloaded files are **SRA files**. After downloading the SRA files, **iSeq** will use the `fasterq-dump` tool to convert them into FASTQ files. Additionally, you can specify the number of threads for conversion using the `-t` parameter. > [!NOTE] > **Note1**: `-q` is particularly useful for downloading **single-cell data**, especially for scATAC-Seq data, as it can effectively decompose the files into four parts: `I1`, `R1`, `R2`, `R3`. However, if FASTQ files are directly downloaded via the `-g` parameter, only `R1` and `R3` files will be obtained (e.g., [SRR13450125](https://www.ebi.ac.uk/ena/browser/view/SRR13450125)), which may cause issues during subsequent data analysis. > [!NOTE] > **Note 2**: When `-q` and `-g` are used together, the SRA file will first be downloaded, then converted to `FASTQ` files using the `fasterq-dump` tool, and finally compressed into gzip format using `pigz`. It does not directly download `FASTQ` files in gzip format, which is very useful for obtaining comprehensive single-cell data. ### 5. `-t`, `--threads` Specifies the number of threads to use for decompressing SRA files into FASTQ files or compressing FASTQ files. The default value is `8`. ```bash iseq -i SRR1178105 -q -t 10 ``` Considering that sequencing data files are generally large, you can specify the number of threads for decomposition using the `-t` parameter. However, more threads does not necessarily mean better performance because excessive threads can lead to **high CPU or IO loads**, especially since `fasterq-dump` consumes a considerable amount of IO, potentially impacting the execution of other tasks. Based on the [benchmark evaluation](https://github.com/BioOmics/iSeq/blob/main/docs/img/benchmark.png), we recommend a maximum thread count of 15. ### 6. `-e`, `--merge` Merge **multiple FASTQ** files into **one FASTQ** file for each Experiment (`ex`), Sample (`sa`) or Study (`st`) . ```bash iseq -i SRX003906 -g -e ex ``` Although in most cases, an Experiment contains only one Run, some sequencing data may have multiple Runs within an Experiment (e.g., [SRX003906](https://www.ebi.ac.uk/ena/browser/view/SRX003906), [CRX020217](https://ngdc.cncb.ac.cn/gsa/search?searchTerm=CRX020217)). Hence, you can use the `-e` parameter to merge multiple FASTQ files from an Experiment into one. Considering paired-end sequencing, where `fastq_1` and `fastq_2` files need to be merged simultaneously and the sequence names in corresponding lines need to remain consistent, **iSeq** will merge multiple FASTQ files in the **same order**. Ultimately, for **single-end** sequencing data, a single file **`SRX*.fastq.gz`** will be generated, and for **paired-end** sequencing data, two files **`SRX*_1.fastq.gz`** and **`SRX*_2.fastq.gz`** will be generated. > [!NOTE] > **Note 1**: If the accession is a **Run ID**, the `-e` parameter cannot be used (see below). Currently, **iSeq** supports merging **both gzip-compressed and uncompressed FASTQ** files, but does not support merging files such as **BAM files and tar.gz** files. - `-e ex`: merge all fastq files of the same **Experiment** into one fastq file. Accepted accession format: `ERX, DRX, SRX, CRX`. - `-e sa`: merge all fastq files of the same **Sample** into one fastq file. Accepted accession format: `ERS, DRS, SRS, SAMC, GSM`. - `-e st`: merge all fastq files of the same **Study** into one fastq file. Accepted accession format: `ERP, DRP, SRP, CRA`. > [!NOTE] > **Note 2**: Normally, when an Experiment contains only one Run, identical Runs should have the **same prefix**. For example, `SRR52991314_1.fq.gz` and `SRR52991314_2.fq.gz` have the same prefix `SRR52991314`. In this case, **iSeq** will directly **rename** them to **`SRX*_1.fastq.gz`** and **`SRX*_2.fastq.gz`**. However, there are exceptions, such as in [CRX006713](https://ngdc.cncb.ac.cn/gsa/search?searchTerm=CRX006713) where a Run `CRR007192` contains files with different prefixes. In such cases, **iSeq** will **rename** them as **`SRX*_original_filename`**, for example, they will be renamed as `CRX006713_CRD015671.gz` and `CRX006713_CRD015672.gz`. ### 7. `-d`, `--database` Specifies the database for downloading SRA files, supporting **ENA** and **SRA** databases. ```bash iseq -i SRR1178105 -d sra ``` By default, **iSeq** will automatically detect available databases, so specifying the `-d` parameter is **usually unnecessary**. However, some SRA files may download **slowly** from the ENA database. In such cases, you can force downloading from the SRA database by specifying `-d sra`. > [!NOTE] > **Note**: If the corresponding SRA file is not found in the **ENA** database, even if the `-d ena` parameter is specified, **iSeq** will still automatically switch to downloading from the **SRA** database. ### 8. `-p`, `--parallel` Enables **multi-threaded downloading** and requires specifying the number of threads. ```bash iseq -i PRJNA211801 -p 10 ``` Considering that `wget` may be slow in some cases, you can use the `-p` parameter to let **iSeq** utilize the `axel` tool for multi-threaded downloading. > [!NOTE] > **Note 1**: The **resumable download** feature of multi-threaded downloading is only effective within the **same thread**. That is, if the `-p 10` parameter is used for the first download, it must also be used for the second download to enable resumable download. > [!NOTE] > **Note 2**: As mentioned, **iSeq** will maintain 10 connections throughout the download process. Therefore, you will see multiple occurrences of the same `Connection * finished` popping up during the download process. This is because some connections are released immediately after completing the download and then new connections are established for downloading. ### 9. `-a`, `--aspera` Use Aspera for downloading. ```bash iseq -i PRJNA211801 -a -g ``` As Aspera offers faster download speeds, you can use the `-a` parameter to instruct **iSeq** to use the `ascp` tool for downloading. Unfortunately, Aspera downloading is currently **only supported by the GSA and ENA databases**. The **NCBI SRA** database cannot utilize Aspera for downloading as it predominantly employs Google Cloud and AWS Cloud technologies and other reasons, see [Avoid-using-ascp](https://github.com/ncbi/sra-tools/wiki/Avoid-using-ascp-directly-for-downloads). > [!NOTE] > **Note 1**: When accessing the **GSA** database, if download links from **Huawei Cloud** are available, **iSeq** will prioritize downloading through Huawei Cloud, even if the `-a` parameter is used. This is because Huawei Cloud offers faster and more stable download speeds. Therefore, when downloading GSA data, it's **recommended to use the `-a` paramete**r. This way, if access to Huawei Cloud is unavailable, downloading through the Aspera channel is still relatively fast. Otherwise, you'll have to resort to downloading via `wget` or `axel`, which are slower methods. > [!NOTE] > **Note 2**: Since `Aspera` requires a key file, **iSeq** will **automatically search for the key** file in the `conda` environment or the `~/.aspera` directory. If the key file is not found, downloading will not be possible. ### 10. `-o`, `--output` The output directory. If not exists, it will be created (default: current directory). ### 11. `-s`, `--speed` Download speed limit (MB/s) (default: 1000 MB/s) for `Wget`, `AXEL` and `Aspera`. ### 12 `-k`, `--skip-md5` Starting from v1.9.2, you can choose to skip the MD5 file integrity check. If you want to perform the MD5 check again after skipping it, simply remove the `-k` parameter and run the same command. ### 13 `-r`, `--protocol` Starting from v1.9.4, you can specify the protocol only when downloading files from ENA. This is because, in some cases, HTTPS can be faster than FTP. ### 14 `-Q`, `--quiet` Starting from v1.9.7, you can use the `-Q` or `--quiet` option to suppress download progress bars and non-essential messages from all download and conversion tools (wget, axel, ascp, fasterq-dump), making batch processing or logging cleaner. ## Output - If the query accession in **SRA/ENA/DDBJ/GEO** database, the following files will be generated: | Output | Description | | ------------- | ------------------------------------------------------------ | | SRA files | Can be converted to FASTQ files using `-q` option | | .metadata.tsv | Metadata for query accession | | success.log | Save the SRA file name that has been downloaded successfully | | fail.log | Save the SRA file name that has been downloaded failed | - If the query accession in **GSA** database, the following files will be generated: | Output | Description | | -------------- | ------------------------------------------------------------ | | GSA files | Mostly in *.gz format, and a few are bam/tar/bz2 format | | .metadata.csv | Metadata for query accession | | .metadata.xlsx | Metadata for Project including query accession in xlsx format | | success.log | Save the GSA file name that has been downloaded successfully | | fail.log | Save the GSA file name that has been downloaded failed | ## Inspired **iSeq** was inspired by **[fastq-dl](https://github.com/rpetit3/fastq-dl), [fetchngs](https://github.com/nf-core/fetchngs), [pysradb](https://github.com/saketkc/pysradb), [Kingfisher](https://github.com/wwood/kingfisher-download)**. These excellent tools may also be very helpful. Below are multiple comparisons of different software: | Software name | Program languages | Supported databases | Supported accessions | Supported formats | Supported methods | Fetch metadata | MD5 check | Resumable download | Parallel download | Merge FASTQ | Skip downloaded | Conda installable | URL | | ------------------------------------------------------------ | ----------------- | ------------------------ | ------------------------ | ------------------------ | ---------------------- | -------------- | --------- | ------------------ | ------------------ | ----------- | --------------- | ----------------- | --------------------------------------------------- | | **iSeq** | Shell | GSA, SRA, ENA, DDBJ, GEO | All | fq, fq.gz, sra, bam | wget, axel, aspera | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | [🔗](https://github.com/BioOmics/iSeq) | | [edgeturbo](https://ngdc.cncb.ac.cn/ettrans/download/) | C | GSA | All denied | fq, fq.gz, bam | edgeturbo download | ❌ | ❌ | ✔ | ❌ | ❌ | ❌ | ❌ | [🔗](https://ngdc.cncb.ac.cn/ettrans/download/) | | [SRA Toolkit](https://github.com/ncbi/sra-tools) | C | SRA, ENA, DDBJ | All denied expect Run ID | fq, fq.gz, sra | prefetch | ❌ | ✔ | ✔ | ❌ | ❌ | ✔ | ✔ | [🔗](https://github.com/ncbi/sra-tools) | | [enaBrowserTools](https://github.com/enasequence/enaBrowserTools) | Python | SRA, ENA, DDBJ | All except GSA/GEO ID | fq, fq.gz, sra | urllib, aspera | ✔ | ✔ | ✔ | ❌ | ❌ | ✔ | ✔ | [🔗](https://github.com/enasequence/enaBrowserTools) | | [fastq-dl](https://github.com/rpetit3/fastq-dl) | Python | SRA, ENA, DDBJ | All except GSA/GEO ID | fq, fq.gz, sra, sra.lite | wget | ✔ | ✔ | ❌ | ❌ | ✔ | ✔ | ✔ | [🔗](https://github.com/rpetit3/fastq-dl) | | [fetchngs](https://github.com/nf-core/fetchngs) | Python | SRA, ENA, DDBJ, GEO | All except GSA ID | fq, fq.gz | wget, aspera, prefetch | ✔ | ✔ | ✔ | ❌ | ❌ | ✔ | ❌ | [🔗](https://github.com/nf-core/fetchngs) | | [pysradb](https://github.com/saketkc/pysradb) | Python | SRA, ENA, DDBJ, GEO | All except GSA ID | fq, fq.gz, sra, bam | requests, aspera | ✔ | ✔ | ✔ | ❌ | ❌ | ✔ | ✔ | [🔗](https://github.com/saketkc/pysradb) | | [Kingfisher](https://github.com/wwood/kingfisher-download) | Python | SRA, ENA, DDBJ | All except GSA/GEO ID | fq, fq.gz, sra | curl, aria2c, aspera | ✔ | ✔ | ❌ | ✔ | ❌ | ✔ | ✔ | [🔗](https://github.com/wwood/kingfisher-download) | | [ffq](https://github.com/pachterlab/ffq/tree/master) | Python | SRA, ENA, DDBJ, GEO | All except GSA ID | fq, fq.gz, sra, bam | requests | ✔ | ✔ | ❌ | ❌ | ❌ | ❌ | ✔ | [🔗](https://github.com/pachterlab/ffq/tree/master) | ## Contributing Contributions to **iSeq** are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue on the project's GitHub repository. If you would like to contribute code, please fork the repository, make your changes, and submit a pull request. **Cite us**: [https://doi.org/10.1101/2024.05.16.594538](https://doi.org/10.1093/bioinformatics/btae641) ## License This project is licensed under the [MIT License](LICENSE). ================================================ FILE: bin/iseq ================================================ #!/bin/bash # Author: BioOmics (https://github.com/BioOmics) # Last modified: 2025-11-20 # ======================================= function CheckSoftware(){ local software1=$1 local software2=$2 if command -v $software1 >/dev/null 2>&1; then # echo -e "\033[1;34m Software check OK: \033[1;32m${software1}\033[0m" sleep 0.01 else echo -e "\033[1;31mError\033[0m: \033[1;32m${software1}\033[0m can not be found in your PATH environment variable." echo -e "\033[1;34mHow to solve?\033[0m Please install \033[1;32m${software2}\033[0m by conda (e.g. \033[1;32mconda install -c conda-forge -c bioconda ${software2} -y\033[0m) or other ways and add it to the PATH environment variable." echo -e "All required software:\033[1;32m wget, sra-tools, axel, aspera, pigz \033[0m" exit 1 fi } CheckSoftware wget wget CheckSoftware axel axel CheckSoftware pigz pigz CheckSoftware ascp "aspera-cli=4.14.0" CheckSoftware md5sum coreutils CheckSoftware srapath "sra-tools>=2.11.0" CheckSoftware vdb-validate sra-tools # ======================================= function usage() { cat << EOF Description: Download sequencing data and matadata for each Run from [GSA, SRA, ENA or DDBJ] databases. Usage: $(basename $0) -i accession [options] Accepted accession formats: 1. Projects: PRJEB, PRJNA, PRJDB, PRJC, GSE 2. Studies: ERP, DRP, SRP, CRA 3. BioSamples: SAMD, SAME, SAMN, SAMC 4. Samples: ERS, DRS, SRS, GSM 5. Experiments: ERX, DRX, SRX, CRX 6. Runs: ERR, DRR, SRR, CRR Required option: -i, --input [text|file] Single accession or a file containing multiple accessions. Note: Only one accession per line in the file. Optional options: -m, --metadata Skip the sequencing data downloads and only fetch the metadata for the accession. -g, --gzip Download FASTQ files in gzip format directly (*.fastq.gz). Note: if *.fastq.gz files are not available, SRA files will be downloaded and converted to *.fastq.gz files. -q, --fastq Convert SRA files to FASTQ format. -t, --threads int The number of threads to use for converting SRA to FASTQ files or compressing FASTQ files (default: 8). -e, --merge [ex|sa|st] Merge multiple fastq files into one fastq file for each Experiment, Sample or Study. ex: merge all fastq files of the same Experiment into one fastq file. Accession format: ERX, DRX, SRX, CRX. sa: merge all fastq files of the same Sample into one fastq file. Accession format: ERS, DRS, SRS, SAMC, GSM. st: merge all fastq files of the same Study into one fastq file. Accession format: ERP, DRP, SRP, CRA. -d, --database [ena|sra] Specify the database to download SRA sequencing data (default: ena). Note: new SRA files may not be available in the ENA database, even if you specify "ena". -p, --parallel int Download sequencing data in parallel, the number of connections needs to be specified, such as -p 10. Note: breakpoint continuation cannot be shared between different numbers of connections. -a, --aspera Use Aspera to download sequencing data, only support GSA/ENA database. -s, --speed int Download speed limit (MB/s) (default: 1000 MB/s). -k, --skip-md5 Skip the md5 check for the downloaded files. -r, --protocol [ftp|https] Specify the protocol only when downloading files from ENA (default: ftp). -Q, --quiet Suppress download progress bars. -o, --output text The output directory. If not exists, it will be created (default: current directory). -h, --help Show the help information. -v, --version Show the script version. See example: https://github.com/BioOmics/iSeq/blob/main/docs/Examples.md More information: https://github.com/BioOmics/iSeq EOF } function checkParameter(){ local parameterName=$1 local value=$2 if [[ -z $value || $value == -* ]]; then echo -e "\033[1;31mError\033[0m: No parameter provided for \"$1\"" echo -e "\033[1;32mHow to solve?\033[0m Please specify [ex|sa|st] by \"$1\" option" exit 1 else return 0 fi } while [[ $# -gt 0 ]]; do case $1 in -i|--input) checkParameter $1 $2; if [[ $? -eq 0 ]]; then input=$2;shift 2; fi ;; -m|--metadata) metadata=1 ; shift 1 ;; -d|--database) checkParameter $1 $2; if [[ $? -eq 0 ]]; then database=$2;shift 2; fi ;; -q|--fastq) fastq=1 ; shift 1 ;; -g|--gzip) gzip=1 ; shift 1 ;; -e|--merge) checkParameter $1 $2; if [[ $? -eq 0 ]]; then merge=$2;shift 2; fi ;; -t|--threads) checkParameter $1 $2; if [[ $? -eq 0 ]]; then threads=$2;shift 2; fi ;; -p|--parallel) checkParameter $1 $2; if [[ $? -eq 0 ]]; then parallel=$2;shift 2; fi ;; -a|--aspera) aspera=1 ; shift 1 ;; -s|--speed) checkParameter $1 $2; if [[ $? -eq 0 ]]; then speed=$2;shift 2; fi ;; -k|--skip-md5) skip_md5=1 ; shift 1 ;; -r|--protocol) checkParameter $1 $2; if [[ $? -eq 0 ]]; then protocol=$2;shift 2; fi ;; -Q|--quiet) quiet=1 ; shift 1 ;; -o|--output) checkParameter $1 $2; if [[ $? -eq 0 ]]; then output=$2;shift 2; fi ;; -h|--help) usage; exit 0 ;; -v|--version) echo "Version 1.9.8"; exit 0 ;; *) echo -e "\033[1;31mError\033[0m: Invalid option: $1"; echo -e "\033[1;32mHow to solve?\033[0m Please remove $1 option"; exit 1 ;; esac done # ================================================== # ================parameters======================== # ================================================== # --------------------"-i"-------------------------- # Check if input is provided if [[ -z "$input" ]]; then echo -e "\033[1;31mError\033[0m: No input provided" echo -e "\033[1;32mHow to solve?\033[0m Please provide the input by \"-i\" option" exit 1 fi # --------------------Check if input is a file or single accession-------------------------- accessions=() if file "$input" | grep -q 'text'; then sed -i 's/\r$//' "$input" while IFS= read -r line; do accessions+=("$line") done < "$input" else accessions+=("$input") fi # --------------------"-m"-------------------------- # if not use -m, then use 0 if [[ -z "$metadata" ]]; then metadata=0 fi # --------------------"-d"-------------------------- # if not use -d, then use auto detect if [[ -z "$database" ]]; then database="auto" else if ! [[ "$database" =~ ^([eE][nN][aA]|[sS][rR][aA])$ ]]; then echo -e "\033[1;31mError\033[0m: Invalid database: $database" echo -e "\033[1;32mHow to solve?\033[0m Please use \"ena\" or \"sra\" for the \"-d\" option" exit 1 fi fi # --------------------"-g"-------------------------- # if not use -g, then use 0 if [[ -z "$gzip" ]]; then gzip=0 fi # --------------------"-q"-------------------------- # if not use -q, then use 0 if [[ -z "$fastq" ]]; then fastq=0 else CheckSoftware fasterq-dump sra-tools fi # --------------------"-e"-------------------------- # if not use -e, then use 0 if [[ -z "$merge" ]]; then merge=0 else CheckSoftware fasterq-dump sra-tools if [[ $merge =~ ^[eE][xX]$ ]]; then for accession in ${accessions[@]}; do if [[ $accession =~ ^[CEDS]RR[0-9]{6,}$ ]]; then echo -e "\033[1;31mError\033[0m: $accession is a Run ID, can not use -e option" echo -e "\033[1;32mHow to solve?\033[0m Please use a Project, Study, Sample, or Experiment accession for the \"-i\" option" exit 1 fi done elif [[ $merge =~ ^[sS][aA]$ ]]; then for accession in ${accessions[@]}; do if [[ $accession =~ ^[CEDS]RR[0-9]{6,}$ || $accession =~ ^[CEDS]RX[0-9]{6,}$ ]]; then echo -e "\033[1;31mError\033[0m: $accession is a Run ID or Experiment ID, can not use -e option" echo -e "\033[1;32mHow to solve?\033[0m Please use a Project, Study, or Sample accession for the \"-i\" option" exit 1 fi done elif [[ $merge =~ ^[sS][tT]$ ]]; then for accession in ${accessions[@]}; do if [[ $accession =~ ^[CEDS]RR[0-9]{6,}$ || $accession =~ ^[CEDS]RX[0-9]{6,}$ || $accession =~ ^[EDS]RS[0-9]{6,}$ || $accession =~ ^SAM[CEDN][A-Z]?[0-9]+$ ]]; then echo -e "\033[1;31mError\033[0m: $accession is a Run ID, Experiment ID, or Sample ID, can not use -e option" echo -e "\033[1;32mHow to solve?\033[0m Please use a Project or Study accession for the \"-i\" option" exit 1 fi done else echo -e "\033[1;31mError\033[0m: Invalid merge: $merge" echo -e "\033[1;32mHow to solve?\033[0m Please use \"ex\", \"sa\", or \"st\" for the \"-e\" option" exit 1 fi fi # --------------------"-t"-------------------------- # if not use -t, then use 8 if [[ -z "$threads" ]]; then threads=8 fi # --------------------"-p"-------------------------- # if not use -p, then use 0 if [[ -z "$parallel" ]]; then parallel=0 elif [[ ! $parallel =~ ^[1-9][0-9]*$ ]]; then echo -e "\033[1;31mError\033[0m: Invalid parallel: $parallel" echo -e "\033[1;32mHow to solve?\033[0m Please use a positive integer for the \"-p\" option" exit 1 else CheckSoftware axel axel fi # --------------------"-a"-------------------------- # if not use -a, then use 0 if [[ -z "$aspera" ]]; then aspera=0 elif [[ $aspera -eq 1 && $parallel -gt 0 ]]; then echo -e "\033[1;33mNote\033[0m: -a and -p options were used at the same time, -a will be used first" elif [[ $aspera -eq 1 && $database =~ ^[sS][rR][aA]$ ]]; then echo -e "\033[1;31mError\033[0m: SRA database does not support Aspera download" echo -e "\033[1;32mHow to solve?\033[0m Please remove -a option or switch to the ENA database by \"-d ena\"" exit 1 else for accession in ${accessions[@]}; do if [[ $accession =~ ^PRJC[A-Z][0-9]+$ || $accession =~ ^SAMC[0-9]+$ || $accession =~ ^CRA[0-9]+$ || $accession =~ ^CRX[0-9]+$ || $accession =~ ^CRR[0-9]+$ ]]; then if [[ ! -f .asperaGSA.openssh ]]; then wget --user-agent="Mozilla/5.0" https://ngdc.cncb.ac.cn/gsa/file/downFile?fileName=download/aspera01.openssh -O .asperaGSA.openssh --quiet fi if [[ ! -f ".asperaGSA.openssh" ]]; then echo -e "\033[1;31mError\033[0m: .asperaGSA.openssh is not exist" echo -e "\033[1;32mHow to solve?\033[0m Please download GSA Aspera key file from https://ngdc.cncb.ac.cn/gsa/file/downFile?fileName=download/aspera01.openssh and rename it to .asperaGSA.openssh" exit 1 fi ascpKeyFile=.asperaGSA.openssh else CheckSoftware ascp aspera-cli ascpPath=$(command -v ascp) ascpKeyFile1=$(dirname $ascpPath)/../etc/aspera/aspera_bypass_rsa.pem ascpKeyFile2=$(dirname $ascpPath)/../etc/aspera_tokenauth_id_rsa if [[ -f $ascpKeyFile1 ]]; then ascpKeyFile=$ascpKeyFile1 elif [[ -f $ascpKeyFile2 ]]; then ascpKeyFile=$ascpKeyFile2 else echo -e "\033[1;31mError\033[0m: Aspera key file not found in the path: \033[1;31m$ascpKeyFile1\033[0m OR \033[1;31m$ascpKeyFile2\033[0m" echo -e "\033[1;32mHow to solve?\033[0m Please copy the Aspera key file in the above path and rename it" exit 1 fi fi done fi # --------------------"-s"-------------------------- # if not use -s, then use 1000 if [[ -z "$speed" ]]; then speed=1000 else if [[ ! $speed =~ ^[1-9][0-9]*$ ]]; then echo -e "\033[1;31mError\033[0m: Invalid speed: $speed" echo -e "\033[1;32mHow to solve?\033[0m Please use a positive integer for the \"-s\" option, such as \"-s 1000\" means 1000 MB/s" exit 1 fi fi # --------------------"-k"-------------------------- # if not use -k, then use 0 if [[ -z "$skip_md5" ]]; then skip_md5=0 fi # --------------------"-r"-------------------------- # if not use -r, then use ftp if [[ -z "$protocol" ]]; then protocol="ftp" else if ! [[ "$protocol" =~ ^(ftp|https)$ ]]; then echo -e "\033[1;31mError\033[0m: Invalid protocol: $protocol" echo -e "\033[1;32mHow to solve?\033[0m Please use \"ftp\" or \"https\" for the \"-r\" option" exit 1 fi fi # --------------------"-Q"-------------------------- # if not use -Q, then use 0 if [[ -z "$quiet" ]]; then quiet=0 fi # --------------------"-o"-------------------------- # if use -o, cd to output directory if [[ -z "$output" ]]; then output=$(pwd) else if [[ ! -d $output ]]; then mkdir -p $output fi if [[ ! -w $output ]]; then echo -e "\033[1;31mError\033[0m: The output directory is not writable" echo -e "\033[1;32mHow to solve?\033[0m Please check the write permission of the output directory" exit 1 fi cd $output fi # ================================================== # ==================function======================== # ================================================== function CheckFile(){ if [[ ! -f $1 ]]; then echo -e "\033[1;31mError\033[0m: $1 is not exist" echo -e "\033[1;32mHow to solve?\033[0m Please check the accession in $1" exit 1 fi if [[ ! -s $1 ]]; then echo -e "\033[1;31mError\033[0m: $1 is empty" echo -e "\033[1;32mHow to solve?\033[0m Please check the content in $1" exit 1 fi } function executeDownload(){ local link=$1 local SaveName=$2 local wget_version=$(wget --version| head -1| awk 'NR==1{print $3}') if [[ $(echo "$wget_version" | awk '{print ($1 < 1.16)}') -eq 1 ]]; then local wget_params="--progress=bar" else local wget_params="--quiet --show-progress" fi if [[ $quiet -eq 1 ]]; then wget_params="--quiet" fi if [[ $parallel -gt 0 ]]; then maxSpeed=$(awk -v speed=$speed 'BEGIN{print speed*1024*1024}') if [[ $quiet -eq 1 ]]; then axel -n $parallel -o "$SaveName" -a -c "$link" -s ${maxSpeed} >/dev/null 2>&1 else axel -n $parallel -o "$SaveName" -a -c "$link" -s ${maxSpeed} fi else wget -c "$link" -O "$SaveName" $wget_params --limit-rate=${speed}M fi } function executeAspera(){ local link=$1 local DB=$2 if [[ $DB == "ENA" ]]; then ascpPath=$(command -v ascp) ascpKeyFile1=$(dirname $ascpPath)/../etc/aspera/aspera_bypass_rsa.pem ascpKeyFile2=$(dirname $ascpPath)/../etc/aspera_tokenauth_id_rsa if [[ -f $ascpKeyFile1 ]]; then ascpKeyFile=$ascpKeyFile1 elif [[ -f $ascpKeyFile2 ]]; then ascpKeyFile=$ascpKeyFile2 else echo -e "\033[1;31mError\033[0m: Aspera key file not found in the path: \033[1;31m$ascpKeyFile1\033[0m OR \033[1;31m$ascpKeyFile2\033[0m" echo -e "\033[1;32mHow to solve?\033[0m Please copy the Aspera key file in the above path and rename it" exit 1 fi local asperaLink=$(echo $link | sed 's/ftp.sra.ebi.ac.uk\//era-fasp@fasp.sra.ebi.ac.uk:/g') elif [[ $DB == "GSA" ]]; then if [[ ! -f .asperaGSA.openssh ]]; then wget --user-agent="Mozilla/5.0" https://ngdc.cncb.ac.cn/gsa/file/downFile?fileName=download/aspera01.openssh -O .asperaGSA.openssh --quiet fi if [[ ! -f ".asperaGSA.openssh" ]]; then echo -e "\033[1;31mError\033[0m: .asperaGSA.openssh is not exist" echo -e "\033[1;32mHow to solve?\033[0m Please download GSA Aspera key file from https://ngdc.cncb.ac.cn/gsa/file/downFile?fileName=download/aspera01.openssh and rename it to .asperaGSA.openssh" exit 1 fi ascpKeyFile=.asperaGSA.openssh local asperaLink=$(echo $link | sed 's/ftp:\/\/download.big.ac.cn\//aspera01@download.cncb.ac.cn:/g') fi if [[ $quiet -eq 1 ]]; then ascp -q -P 33001 -i "$ascpKeyFile" -QT -l "${speed}M" -k1 -d "$asperaLink" . else ascp -P 33001 -i "$ascpKeyFile" -QT -l "${speed}M" -k1 -d "$asperaLink" . fi } function validateQuery() { local accession="$1" if [[ $accession =~ ^PRJ[EDN][A-Z][0-9]+$ || $accession =~ ^[EDS]RP[0-9]{6,}$ ]]; then echo "$accession" elif [[ $accession =~ ^SAM[EDN][A-Z]?[0-9]+$ || $accession =~ ^[EDS]RS[0-9]{6,}$ ]]; then echo "$accession" elif [[ $accession =~ ^[EDS]RX[0-9]{6,}$ ]]; then # {6,} means at least 6 digits echo "$accession" elif [[ $accession =~ ^[EDS]RR[0-9]{6,}$ ]]; then echo "$accession" elif [[ $accession =~ ^GSE[0-9]+$ ]]; then local bioproject=$(wget -qO- "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=$accession" | grep -oe "PRJ[EDN][A-Z][0-9]\+" | uniq) if [[ -z $bioproject ]]; then echo -e "\033[1;31mError\033[0m: $accession is not valid GEO Series accession." >&2 exit 1 fi echo -e "\033[32mNote\033[0m: $accession belongs to $bioproject" >&2 echo "$bioproject" elif [[ $accession =~ ^GSM[0-9]+$ ]]; then local biosample=$(wget -qO- "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=$accession" | grep -oe "SAM[EDN][A-Z]\?[0-9]\+" | uniq) if [[ -z $biosample ]]; then echo -e "\033[1;31mError\033[0m: $accession is not a valid GEO Sample accession." >&2 exit 1 fi echo -e "\033[32mNote\033[0m: $accession belongs to $biosample" >&2 echo "$biosample" else echo -e "\033[1;31mError\033[0m: $accession is not a valid Study, Sample, Experiment, or Run accession." >&2 exit 1 fi } function getSRAMetadata() { local accession="$1" local query=$(validateQuery "$accession") if [[ -z $query ]]; then exit 1 fi wget -c "https://www.ebi.ac.uk/ena/portal/api/filereport?accession=$query&result=read_run&fields=study_accession,secondary_study_accession,sample_accession,secondary_sample_accession,experiment_accession,run_accession,submission_accession,tax_id,scientific_name,instrument_platform,instrument_model,library_name,nominal_length,library_layout,library_strategy,library_source,library_selection,read_count,base_count,center_name,first_public,last_updated,experiment_title,study_title,study_alias,experiment_alias,run_alias,fastq_bytes,fastq_md5,fastq_ftp,fastq_aspera,fastq_galaxy,submitted_bytes,submitted_md5,submitted_ftp,submitted_aspera,submitted_galaxy,submitted_format,sra_bytes,sra_md5,sra_ftp,sra_aspera,sra_galaxy,sample_alias,broker_name,sample_title,nominal_sdev,first_created,bam_ftp,bam_bytes,bam_md5&format=tsv&download=true&limit=0" -O $accession.metadata.tsv --quiet #wget -c "https://www.ebi.ac.uk/ena/portal/api/search?result=read_run&format=tsv&query=\"$query\"&fields=all" -O $accession.metadata.tsv --quiet if [[ -z $(awk -vFS="\t" 'NR==2 {print $1}' $accession.metadata.tsv) ]]; then echo -e "\033[93mNote\033[0m: No metadata information found for $accession in the ENA database, try to download from the SRA database" database="sra" wget --quiet --output-document="$accession.xml" "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=sra&term=${accession}&usehistory=y" WebEnv=$(grep -oP '\K[^<]+' $accession.xml) QueryKey=$(grep -oP '\K[^<]+' $accession.xml) rm -f $accession.xml wget --quiet --output-document="$accession.metadata.tsv" "https://trace.ncbi.nlm.nih.gov/Traces/sra-db-be/sra-db-be.cgi?rettype=runinfo&WebEnv=${WebEnv}&query_key=${QueryKey}" sed -i "s/,/\t/g" $accession.metadata.tsv if [[ -z $(awk -vFS="\t" 'NR==2 {print $1}' $accession.metadata.tsv) ]]; then echo -e "\033[1;31mError\033[0m: No metadata information found for $accession in the all databases" echo -e "\033[1;32mHow to solve?\033[0m 1. Check your accession format: $accession; 2. $accession is not available in the SRA database; 3. Network is not available on your server" rm -f $accession.metadata.tsv exit 1 fi fi } function downloadSRA() { local SRR=$1 # only SRR_ID local SRALink=$(grep "$SRR" $accession.metadata.tsv | tr "\t" "\n" | grep -e "ftp.sra.ebi.ac.uk/vol[0-9]/[sde]rr" | grep -v "lite" | uniq) local FASTQLink=$(grep "$SRR" $accession.metadata.tsv | tr "\t" "\n" | grep -e "ftp.sra.ebi.ac.uk/vol[0-9]/fastq" | uniq) if [[ $gzip -eq 1 && ! -z $FASTQLink && ! $database =~ ^[sS][rR][aA]$ && $fastq -eq 0 ]]; then echo -e "\033[32mNote\033[0m: -g used, download FASTQ files in gzip format directly" local layout=$(grep "$SRR" $accession.metadata.tsv | awk '{if($0~"PAIRED"){print "paired"}else{print "single"}}' | uniq) local linkNum=$(echo $FASTQLink | tr ";" "\n" | wc -l) # even single-end data may have multiple links, such as SRR18030918 if [[ $layout == "single" && $linkNum -eq 1 ]]; then local link=$(echo $FASTQLink | tr ";" "\n" | grep "fastq.gz") if [[ $aspera -eq 1 ]]; then echo -e "File size: $(wget --spider "ftp://$link" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: Aspera" executeAspera "$link" "ENA" else if [[ $protocol == "https" ]]; then echo -e "File size: $(wget --spider "https://$link" 2>&1 | grep Length | awk '{printf "%.2fG", ($2/1024/1024/1024)}')\tDatabase: ENA\tMode: https" executeDownload "https://$link" $(basename $link) else echo -e "File size: $(wget --spider "ftp://$link" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: ftp" executeDownload "ftp://$link" $(basename $link) fi fi else if [[ $layout == "single" ]]; then echo -e "\033[93mNote\033[0m: $SRR is single-end data, but has multiple links" fi if [[ $linkNum -eq 2 ]]; then local link1=$(echo $FASTQLink | tr ";" "\n" | grep "_1.fastq.gz") local link2=$(echo $FASTQLink | tr ";" "\n" | grep "_2.fastq.gz") if [[ $aspera -eq 1 ]]; then echo -e "File size: $(wget --spider "ftp://$link1" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: Aspera" executeAspera "$link1" "ENA" echo -e "File size: $(wget --spider "ftp://$link2" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: Aspera" executeAspera "$link2" "ENA" else if [[ $protocol == "https" ]]; then echo -e "File size: $(wget --spider "https://$link1" 2>&1 | grep Length | awk '{printf "%.2fG", ($2/1024/1024/1024)}')\tDatabase: ENA\tMode: https" executeDownload "https://$link1" $(basename $link1) echo -e "File size: $(wget --spider "https://$link2" 2>&1 | grep Length | awk '{printf "%.2fG", ($2/1024/1024/1024)}')\tDatabase: ENA\tMode: https" executeDownload "https://$link2" $(basename $link2) else echo -e "File size: $(wget --spider "ftp://$link1" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: ftp" executeDownload "ftp://$link1" $(basename $link1) echo -e "File size: $(wget --spider "ftp://$link2" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: ftp" executeDownload "ftp://$link2" $(basename $link2) fi fi else echo -e "\033[93mNote\033[0m: $SRR is paired-end data, but has only one link" # such as SRR23680070 local link=$(echo $FASTQLink | tr ";" "\n" | grep ".fastq.gz") if [[ $aspera -eq 1 ]]; then echo -e "File size: $(wget --spider "ftp://$link" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: Aspera" executeAspera "$link" "ENA" else if [[ $protocol == "https" ]]; then echo -e "File size: $(wget --spider "https://$link" 2>&1 | grep Length | awk '{printf "%.2fG", ($2/1024/1024/1024)}')\tDatabase: ENA\tMode: https" executeDownload "https://$link" $(basename $link) else echo -e "File size: $(wget --spider "ftp://$link" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: ftp" executeDownload "ftp://$link" $(basename $link) fi fi fi fi else if [[ $database =~ ^[sS][rR][aA]$ || -z $SRALink ]]; then if [[ $database =~ ^[eE][nN][aA]$ ]]; then echo -e "\033[93mNote\033[0m: The SRA file of $SRR is not available in the ENA database, switch to the SRA database" fi if [[ $gzip -eq 1 && $fastq -eq 0 && ! $database =~ ^[sS][rR][aA]$ ]]; then echo -e "\033[93mNote\033[0m: $SRR FASTQ file is also not available in the ENA database, switch to download SRA file" fi if [[ $gzip -eq 1 && $database =~ ^[sS][rR][aA]$ ]]; then echo -e "\033[92mNote\033[0m: SRA database used, will download SRA file and convert to FASTQ file in gzip format" fi if [[ $aspera -eq 1 ]]; then echo -e "\033[93mNote\033[0m: SRA database does not support Aspera download, switch to download SRA file by https" fi local link=$(srapath $SRR) # srapath may can't find the SRR file, e.g ERR1143237 if [[ -z $link ]]; then echo -e "\033[1;31mError\033[0m: The sequencing file of $SRR is not available in all databases" exit 1 fi echo -e "File size: $(wget --spider $link 2>&1 | grep Length | awk '{printf "%.2fG", ($2/1024/1024/1024)}')\tDatabase: SRA\tMode: https" executeDownload $link $SRR else if [[ $gzip -eq 1 && $fastq -eq 0 ]]; then echo -e "\033[93mNote\033[0m: $SRR FASTQ file is not available in the ENA database, switch to download SRA file" fi if [[ $aspera -eq 1 ]]; then echo -e "File size: $(wget --spider "ftp://$SRALink" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: Aspera" executeAspera "$SRALink" "ENA" else if [[ $protocol == "https" ]]; then echo -e "File size: $(wget --spider "https://$SRALink" 2>&1 | grep Length | awk '{printf "%.2fG", ($2/1024/1024/1024)}')\tDatabase: ENA\tMode: https" executeDownload "https://$SRALink" $SRR else echo -e "File size: $(wget --spider "ftp://$SRALink" 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: ENA\tMode: ftp" executeDownload "ftp://$SRALink" $SRR fi fi fi fi } count=1 function checkSRA() { local SRR=$1 # only SRR_ID if [[ $gzip -eq 1 && $fastq -eq 0 && ! $database =~ ^[sS][rR][aA]$ ]]; then mapfile -t fastq_files < <(grep "$SRR" "${accession}.metadata.tsv" | grep -o "${SRR}\(_[^;/[:space:]]*\)\?\.fastq\.gz") if [[ ${#fastq_files[@]} -gt 0 ]]; then all_pass=true for file in "${fastq_files[@]}"; do if [[ ! -f $file ]]; then all_pass=false break fi md5=$(md5sum "$file" | awk '{print $1}') if ! grep -q "$md5" "${accession}.metadata.tsv"; then echo -e "\033[91mMD5 mismatch for:\033[0m $file" all_pass=false break fi done if [[ "$all_pass" == true ]]; then echo -e "\033[92m${SRR} download and md5 check successful, save ${SRR} in success.log\033[0m" echo -e "$(date)\t$SRR" >> success.log sed -i "/$SRR/d" fail.log 2>/dev/null elif [[ $count -le 1 ]]; then echo -e "\033[93mNote\033[0m: ${SRR} validate failed, retry ${count} times" downloadSRA "$SRR" count=$((count+1)) checkSRA "$SRR" elif [[ $count -le 2 ]]; then echo -e "\033[93mNote\033[0m: ${SRR} validate failed, remove the files and retry ${count} times" rm -f "${fastq_files[@]}" downloadSRA "$SRR" count=$((count+1)) checkSRA "$SRR" else for f in "${fastq_files[@]}"; do [[ -f "$f" ]] && rm -f "$f" done echo -e "\033[91m${SRR} md5 check failed after trying ${count} times, save Run ID in fail.log\033[0m" echo -e "$(date)\t$SRR" >> fail.log #exit 1 touch "$tmp_fail_flag" fi else echo -e "\033[93mNote\033[0m: No FASTQ files found for ${SRR}" if [[ $count -le 2 ]]; then count=$((count+1)) downloadSRA "$SRR" checkSRA "$SRR" else for f in "${fastq_files[@]}"; do [[ -f "$f" ]] && rm -f "$f" done echo -e "\033[91m${SRR} failed: no FASTQ files after retry, saving to fail.log\033[0m" echo -e "$(date)\t$SRR" >> fail.log touch "$tmp_fail_flag" fi fi else vdb-validate ./$SRR > $SRR.log 2>&1 if [[ $? -eq 0 ]]; then echo -e "\033[92m${SRR} download and md5 check successful, save ${SRR} in success.log\033[0m" echo -e "$(date)\t$SRR" >> success.log sed -i "/$SRR/d" fail.log 2>/dev/null rm -f $SRR.log elif [[ $count -le 1 ]]; then # retry times echo -e "\033[93mNote\033[0m: ${SRR} validate failed, retry ${count} times" downloadSRA $SRR count=$((count+1)) checkSRA $SRR elif [[ $count -le 2 ]]; then # retry times echo -e "\033[93mNote\033[0m: ${SRR} validate failed, remove the file and retry ${count} times" if [[ -f "$SRR" ]]; then rm -f "$SRR"; fi downloadSRA $SRR count=$((count+1)) checkSRA $SRR else if [[ -f "$SRR" ]]; then rm -f "$SRR"; fi echo -e "\033[91m${SRR} md5 check failed after trying ${count} times, save Run ID in fail.log\033[0m" echo -e "$(date)\t$SRR" >> fail.log touch "$tmp_fail_flag" fi fi } function getGSAxlsx(){ local cra=$1 wget --quiet --post-data="type=3&dlAcession=${cra}" \ --user-agent="Mozilla/5.0" \ --output-document="${cra}.metadata.xlsx" "https://ngdc.cncb.ac.cn/gsa/file/exportExcelFile" } function getGSAMetadata() { local accession=$1 if [[ $accession =~ ^CRR[0-9]+$ || $accession =~ ^CRX[0-9]+$ ]]; then CRA=$(wget --user-agent="Mozilla/5.0" -qO- https://ngdc.cncb.ac.cn/gsa/search?searchTerm=${accession} | grep -v "example" | grep -oe "CRA[0-9]\+" | uniq) if [[ -z $CRA ]]; then echo -e "\033[1;31mError\033[0m: Cannot infer the Project ID (CRA*) for $accession." >&2 echo -e "\033[1;32mHow to solve?\033[0m 1. Check your internet connection (You can try \"wget https://ngdc.cncb.ac.cn/gsa/search?searchTerm=${accession}\" for a test). 2. Check the format of $accession." exit 1 fi wget --quiet --post-data="searchTerm=${CRA}&totalDatas=9999&downLoadCount=9999" \ --user-agent="Mozilla/5.0" \ --output-document="${accession}.tmp" "https://ngdc.cncb.ac.cn/gsa/search/getRunInfoByCra" awk -vaccession=${accession} 'NR==1{print $0}NR>1{if($0~accession)print $0}' ${accession}.tmp > ${accession}.metadata.csv rm ${accession}.tmp if [[ ! -f ${CRA}.metadata.xlsx ]]; then echo -e "\033[32mNote\033[0m: ${accession} belongs to ${CRA}, ${CRA}.metadata.xlsx will also be downloaded" getGSAxlsx $CRA fi elif [[ $accession =~ ^PRJC[A-Z][0-9]+$ || $accession =~ ^SAMC[0-9]+$ || $accession =~ ^CRA[0-9]+$ ]]; then if [[ $accession =~ ^PRJC[A-Z][0-9]+$ || $accession =~ ^SAMC[0-9]+$ ]]; then wget --quiet --post-data="searchTerm=%26quot%3B${accession}%26quot%3BtotalDatas=9999%3BdownLoadCount=9999" \ --user-agent="Mozilla/5.0" \ --output-document="${accession}.metadata.csv" "https://ngdc.cncb.ac.cn/gsa/search/getRunInfo" elif [[ $accession =~ ^CRA[0-9]+$ ]]; then wget --quiet --post-data="searchTerm=${accession}&totalDatas=9999&downLoadCount=9999" \ --user-agent="Mozilla/5.0" \ --output-document="${accession}.metadata.csv" "https://ngdc.cncb.ac.cn/gsa/search/getRunInfoByCra" fi if [[ $(awk -F, 'NR==2{print $1}' ${accession}.metadata.csv) == "" ]]; then echo -e "\033[1;31mError\033[0m: $accession is not a valid Study, Sample, or Experiment accession." >&2 rm ${accession}.metadata.csv exit 1 fi CRA=$(grep -oe "CRA[0-9]\+" ${accession}.metadata.csv | uniq) # when accession is PRJ, CRA may be more than one while IFS= read -r cra; do if [[ ! -f ${cra}.metadata.xlsx ]]; then if [[ $accession =~ ^CRA[0-9]+$ ]]; then echo -e "\033[32mNote\033[0m: ${cra}.metadata.xlsx will also be downloaded" else echo -e "\033[32mNote\033[0m: ${accession} belongs to ${cra}, ${cra}.metadata.xlsx will also be downloaded" fi getGSAxlsx "$cra" fi done <<< "$CRA" else echo -e "\033[1;31mError\033[0m: $accession is not a valid Study, Sample, Experiment, or Run accession." >&2 exit 1 fi } function downloadGSA() { local CRR=$1 # only CRR_ID local CRA=$(grep "$CRR" ${accession}.metadata.csv | grep -o "CRA[0-9]\+" | uniq) local allLinks=$(wget -qO- --user-agent="Mozilla/5.0" https://ngdc.cncb.ac.cn/gsa/browse/${CRA}/${CRR} | grep -oE '(https|ftp)://[^"]*\.(gz|bam|tar|bz2)' | sort | uniq) local httpsLink=$(echo $allLinks | tr " " "\n" | grep "https://download.cncb.ac.cn") local ftpLink=$(echo $allLinks | tr " " "\n" | grep "ftp://download.big.ac.cn") local HuaWeiLink=$(echo $allLinks | tr " " "\n" | grep "huaweicloud") if [[ ! -z $HuaWeiLink ]]; then # use HuaWei Cloud to download firstly, even if aspera is available if [[ $aspera -eq 1 ]]; then echo -e "\033[92mNote\033[0m: HUAWEI Cloud is available, which is faster than Aspera, so HUAWEI Cloud will be used first, even if -a option is used" fi for link in $HuaWeiLink; do local SaveName=$(basename $link) if [[ $(grep -c $SaveName success.log) -ge "1" ]]; then echo -e "\033[32mNote\033[0m: ${SaveName} has been downloaded successfully, please check success.log for details. If you want to download it again, please remove it from success.log (sed -i '/$$SaveName/d' success.log)" else echo -e "File size: $(wget --user-agent="Mozilla/5.0" --spider $link 2>&1 | grep Length | awk '{printf "%.2fG", ($2/1024/1024/1024)}')\tDatabase: GSA\tMode: HUAWEI Cloud" executeDownload $link $SaveName if [[ $skip_md5 -eq 0 ]]; then checkGSA $SaveName $CRR else echo -e "\033[32mNote\033[0m: Skip md5 check for $SaveName, as -k option is used" fi fi done elif [[ $aspera -eq 1 ]]; then for link in $ftpLink; do local SaveName=$(basename $link) if [[ $(grep -c $SaveName success.log) -ge "1" ]]; then echo -e "\033[32mNote\033[0m: ${SaveName} has been downloaded successfully, please check success.log for details. If you want to download it again, please remove it from success.log (sed -i '/$$SaveName/d' success.log)" else echo -e "File size: $(wget --user-agent="Mozilla/5.0" --spider $link 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: GSA\tMode: Aspera" executeAspera $link "GSA" if [[ $skip_md5 -eq 0 ]]; then checkGSA $SaveName $CRR else echo -e "\033[32mNote\033[0m: Skip md5 check for $SaveName, as -k option is used" fi fi done else for link in $ftpLink; do local SaveName=$(basename $link) if [[ $(grep -c $SaveName success.log) -ge "1" ]]; then echo -e "\033[32mNote\033[0m: ${SaveName} has been downloaded successfully, please check success.log for details. If you want to download it again, please remove it from success.log (sed -i '/$$SaveName/d' success.log)" else echo -e "File size: $(wget --user-agent="Mozilla/5.0" --spider $link 2>&1 | grep SIZE | awk '{printf "%.2fG", ($5/1024/1024/1024)}')\tDatabase: GSA\tMode: ftp" executeDownload $link $SaveName if [[ $skip_md5 -eq 0 ]]; then checkGSA $SaveName $CRR else echo -e "\033[32mNote\033[0m: Skip md5 check for $SaveName, as -k option is used" fi fi done fi } count=1 function checkGSA() { local filename=$1 # CRR file name local CRR=$2 if [[ ! -f $CRA.md5sum.txt ]]; then md5URL=$(echo "https://download.cncb.ac.cn/"$(grep -oe "gsa[0-9]\+/$CRA\|gsa/$CRA" ${accession}.metadata.csv | uniq)"/md5sum.txt") wget --user-agent="Mozilla/5.0" "$md5URL" -O $CRA.md5sum.txt --quiet fi if ! command -v md5sum >/dev/null 2>&1 || [[ ! -s $CRA.md5sum.txt ]]; then echo -e "\033[32mNote\033[0m: Skip md5 check for $filename, as md5sum command is not available or $CRA.md5sum.txt is empty" CheckFile $filename echo -e "\033[92m${filename} download successful, save ${filename} in success.log\033[0m" echo -e "$(date)\t$filename" >> success.log sed -i "/$filename/d" fail.log 2>/dev/null else local md5sum=$(grep "$filename" $CRA.md5sum.txt | awk '{print tolower($1)}') if [[ -f $filename && $(md5sum $filename | awk '{print $1}') == $md5sum ]]; then echo -e "\033[92m${filename} download and md5 check successful, save ${filename} in success.log\033[0m" echo -e "$(date)\t$filename" >> success.log sed -i "/$filename/d" fail.log 2>/dev/null elif [[ $count -le 1 ]]; then # retry times echo -e "\033[93mNote\033[0m: ${filename} validate failed, retry ${count} times" count=$((count+1)) downloadGSA $CRR elif [[ $count -le 2 ]]; then # retry times echo -e "\033[93mNote\033[0m: ${filename} validate failed, remove the file and retry ${count} times" rm -f $filename count=$((count+1)) downloadGSA $CRR else echo -e "\033[91m${filename} md5 check failed after trying ${count} times, save ${filename} in fail.log\033[0m" echo -e "$(date)\t$filename" >> fail.log #exit 1 touch "$tmp_fail_flag" fi fi } function mergeSRArun(){ local metadata=$1 if [[ $merge == "ex" ]]; then local experimentList=$(grep -oe "[EDS]RX[0-9]\+" $metadata | sort | uniq) elif [[ $merge == "sa" ]]; then local experimentList=$(grep -oe "SAM[EDN][A-Z]*[0-9]\+" $metadata | sort | uniq) elif [[ $merge == "st" ]]; then local experimentList=$(grep -oe "PRJ[EDN][A-Z][0-9]\+" $metadata | sort | uniq) fi for experiment in $experimentList; do local runList=$(awk -vFS="\t" -v experiment=$experiment 'NR>1 && $0~experiment {print $1}' $metadata) local layout=$(grep $experiment $metadata | awk '{if($0~"PAIRED"){print "paired"}else{print "single"}}' | uniq) local SRR=$(echo $runList | awk '{print $1}') # get the first run ID if [[ $gzip -eq 1 && ( -f ${SRR}_1.fastq.gz || -f ${SRR}_2.fastq.gz || -f ${SRR}.fastq.gz ) ]]; then if [[ -f ${experiment}.fastq.gz || -f ${experiment}_1.fastq.gz ]]; then echo -e "\033[32mNote\033[0m: ${experiment} has been merged, skip" else if [[ $(echo $runList | wc -w) -eq 1 ]]; then # if only one run in the experiment, just rename it if [[ $layout == "single" ]]; then echo -e "\033[32mNote\033[0m: $experiment only has one run, rename $runList to $experiment.fastq.gz" ln -s ${runList}.fastq.gz ${experiment}.fastq.gz else echo -e "\033[32mNote\033[0m: $experiment only has one run, rename $runList to ${experiment}_1.fastq.gz and ${experiment}_2.fastq.gz" ln -s ${runList}_1.fastq.gz ${experiment}_1.fastq.gz ln -s ${runList}_2.fastq.gz ${experiment}_2.fastq.gz fi else if [[ $layout == "single" ]]; then echo -e "\033[32mNote\033[0m: Those runs: \n$(for run in $runList; do echo $run.fastq.gz; done) \nwill be merged into $experiment.fastq.gz, may take a while" cat $(for run in $runList; do echo $run.fastq.gz; done) > ${experiment}.fastq.gz # for run in $runList; do rm -f $run.fastq.gz; done else echo -e "\033[32mNote\033[0m: Those runs: \n$(for run in $runList; do echo ${run}_1.fastq.gz; done) \nwill be merged into ${experiment}_1.fastq.gz, may take a while" cat $(for run in $runList; do echo ${run}_1.fastq.gz; done) > ${experiment}_1.fastq.gz # for run in $runList; do rm -f ${run}_1.fastq.gz; done echo -e "\033[32mNote\033[0m: Those runs: \n$(for run in $runList; do echo ${run}_2.fastq.gz; done) \nwill be merged into ${experiment}_2.fastq.gz, may take a while" cat $(for run in $runList; do echo ${run}_2.fastq.gz; done) > ${experiment}_2.fastq.gz # for run in $runList; do rm -f ${run}_2.fastq.gz; done fi fi fi elif [[ -f ${SRR}.fastq || -f ${SRR}_1.fastq || -f ${SRR}_2.fastq ]]; then if [[ -f ${experiment}.fastq || -f ${experiment}_1.fastq ]]; then echo -e "\033[32mNote\033[0m: ${experiment} has been merged, skip" else if [[ $(echo $runList | wc -w) -eq 1 ]]; then # if only one run in the experiment, just rename it if [[ $layout == "single" ]]; then if [[ $runList =~ _1.fastq ]]; then # maybe is a single cell data echo -e "\033[32mNote\033[0m: $experiment only has one run, rename $runList to ${experiment}_1.fastq" ln -s ${runList}_1.fastq ${experiment}_1.fastq else echo -e "\033[32mNote\033[0m: $experiment only has one run, rename $runList to $experiment.fastq" ln -s ${runList}.fastq ${experiment}.fastq fi else echo -e "\033[32mNote\033[0m: $experiment only has one run, rename $runList to ${experiment}_1.fastq and ${experiment}_2.fastq" ln -s ${runList}_1.fastq ${experiment}_1.fastq ln -s ${runList}_2.fastq ${experiment}_2.fastq fi else if [[ $layout == "single" ]]; then echo -e "\033[32mNote\033[0m: Those runs: \n$(for run in $runList; do echo $run.fastq; done) \nwill be merged into $experiment.fastq, may take a while" cat $(for run in $runList; do echo $run.fastq; done) > ${experiment}.fastq # for run in $runList; do rm -f $run.fastq; done else echo -e "\033[32mNote\033[0m: Those runs: \n$(for run in $runList; do echo ${run}_1.fastq; done) \nwill be merged into ${experiment}_1.fastq, may take a while" cat $(for run in $runList; do echo ${run}_1.fastq; done) > ${experiment}_1.fastq # for run in $runList; do rm -f ${run}_1.fastq; done echo -e "\033[32mNote\033[0m: Those runs: \n$(for run in $runList; do echo ${run}_2.fastq; done) \nwill be merged into ${experiment}_2.fastq, may take a while" cat $(for run in $runList; do echo ${run}_2.fastq; done) > ${experiment}_2.fastq # for run in $runList; do rm -f ${run}_2.fastq; done fi fi fi else echo -e "\033[1;31mError\033[0m: $SRR can't be found when merge $experiment" >&2 exit 1 fi done } function mergeGSArun(){ local metadata=$1 if [[ $merge == "ex" ]]; then local experimentList=$(grep -oe "CRX[0-9]\+" $metadata | sort | uniq) elif [[ $merge == "sa" ]]; then local experimentList=$(grep -oe "SAMC[0-9]\+" $metadata | sort | uniq) elif [[ $merge == "st" ]]; then local experimentList=$(grep -oe "PRJC[A-Z][0-9]\+" $metadata | sort | uniq) fi for experiment in $experimentList; do local colNum=$(grep $experiment $metadata | cut -d "," -f7 | awk -vFS="|" '{print NF}' | uniq) local rowNum=$(grep $experiment $metadata | wc -l) if [[ $rowNum -eq 1 ]]; then # if only one run in the experiment, just rename it local CRR=$(grep $experiment $metadata | cut -d "," -f1) local prefixes=$(grep $experiment $metadata | cut -d "," -f7 | awk -vFS="|" '{for(i=1;i<=NF;i++) print $i}' | awk -F"/" '{print $NF}' | awk -F '[._]' '{print $1}' | uniq) if [[ $CRR == $prefixes ]]; then # Due to one CRR may have multiple files, so need to check if the CRR is the same as the prefixe of those files grep $experiment $metadata | cut -d "," -f7 | awk -vFS="|" '{for(i=1;i<=NF;i++) print $i}' | awk -F"/" '{print $NF}' | while read filename; do if [[ -f ${filename/$CRR/$experiment} && ! -f $filename ]]; then echo -e "\033[32mNote\033[0m: ${filename/$CRR/$experiment} has been merged (here renamed), skip" else echo -e "\033[32mNote\033[0m: $experiment only has one run $CRR, rename $filename to ${filename/$CRR/$experiment}" ln -s $filename ${filename/$CRR/$experiment} fi done else echo -e "\033[32mNote\033[0m: $experiment only has one run ($CRR), however, the prefix ($(echo $prefixes)) of the files are different, rename them:" grep $experiment $metadata | cut -d "," -f7 | awk -vFS="|" '{for(i=1;i<=NF;i++) print $i}' | awk -F"/" '{print $NF}' | while read filename; do if [[ -f ${experiment}_${filename} && ! -f $filename ]]; then echo -e "\033[32mNote\033[0m: ${experiment}_${filename} has been merged (here renamed), skip" else echo -e "\033[32mNote\033[0m: Rename $filename to ${experiment}_${filename}" ln -s $filename ${experiment}_${filename} fi done fi else for ((i=1; i<=$colNum; i++)); do local files=$(grep $experiment $metadata | cut -d "," -f7 | awk -vFS="|" -v i=$i '{print $i}' | awk -F"/" '{print $NF}') local prefix=$(echo $files | awk -F"[._]" '{print $1}' | uniq) local CRR=$(grep $prefix $metadata | cut -d "," -f1 | uniq) local example_file=$(echo $files | cut -d " " -f1) if [[ $example_file =~ [fastq|fq].gz ]]; then # only can merge [fastq|fq].gz files if [[ $CRR == $prefix ]]; then if [[ -f ${example_file/$prefix/$experiment} ]]; then echo -e "\033[32mNote\033[0m: ${example_file/$prefix/$experiment} has been merged, skip" else echo -e "\033[32mNote\033[0m: Those files: \n$(for file in $files; do echo $file; done) \nwill be merged into ${example_file/$prefix/$experiment}, may take a while" cat $(for file in $files; do echo $file; done) > ${example_file/$prefix/$experiment} # for file in $files; do rm -f $file; done fi else if [[ -f ${experiment}_${example_file} ]]; then echo -e "\033[32mNote\033[0m: ${experiment}_${example_file} has been merged, skip" else echo -e "\033[32mNote\033[0m: Those files: \n$(for file in $files; do echo $file; done) \nwill be merged into ${experiment}_${example_file}, may take a while" cat $(for file in $files; do echo $file; done) > ${experiment}_${example_file} # for file in $files; do rm -f $file; done fi fi else echo -e "\033[93mNote\033[0m: Those files: \n$(for file in $files; do echo $file; done) \nwill not be merged, as they are not end with [fastq|fq].gz" fi done fi done } # ================================================== # ==================process========================= # ================================================== tmp_fail_flag=".has_failed.flag" rm -f $tmp_fail_flag printf "%s\n" "${accessions[@]}" | while read -r accession; do ( if [[ $accession =~ ^PRJC[A-Z][0-9]+$ || $accession =~ ^SAMC[0-9]+$ || $accession =~ ^CRA[0-9]+$ || $accession =~ ^CRX[0-9]+$ || $accession =~ ^CRR[0-9]+$ ]]; then if [[ -s ${accession}.metadata.csv ]]; then echo -e "\033[32mNote\033[0m: ${accession}.metadata.csv exists, skip downloading metadata for $accession" else getGSAMetadata $accession CheckFile $accession.metadata.csv fi if [[ $metadata -eq 0 ]]; then awk -F, 'NR>1{split($5, filenames, "|");split($6, fileSizes, "|") for (i=1; i<=length(filenames); i++) {fileSize = fileSizes[i] / (1024 * 1024 * 1024);printf " %s %.2fG \t ", filenames[i], fileSize} printf "\n"}' ${accession}.metadata.csv echo -e "\033[32mNote\033[0m: Above Run will be downloaded. You can see the details in ${accession}.metadata.csv" CRA=$(grep -oe "CRA[0-9]\+" ${accession}.metadata.csv | uniq) for CRR in $(awk -F, 'NR>1{print $1}' ${accession}.metadata.csv | sort -u); do if [[ ! -f success.log ]]; then touch success.log fi # check all CRR files filenames=$(awk -F, -v cr=$CRR 'NR>1 && $1==cr { split($5, arr, "|"); for (i in arr) print arr[i]; }' ${accession}.metadata.csv) all_present=true for fname in $filenames; do if ! grep -q "$fname" success.log; then all_present=false break fi done if $all_present; then echo -e "\033[32mNote\033[0m: ${CRR} has been downloaded successfully, please check success.log for details. If you want to download it again, please remove it from success.log (sed -i '/${CRR}/d' success.log)" else downloadGSA $CRR fi done rm -f $CRA.md5sum.txt if [[ "$merge" != 0 && $? -eq 0 ]]; then echo -e "\033[32mNote\033[0m: All Runs have been downloaded, start to merge them" mergeGSArun ${accession}.metadata.csv fi else echo -e "\033[32mNote\033[0m: You choose to skip downloading GSA files (-m used), only retrieve the metadata for each accession, see ${accession}.metadata.csv" fi else if [[ -s $accession.metadata.tsv ]]; then echo -e "\033[32mNote\033[0m: $accession.metadata.tsv exists, skip downloading metadata for $accession" else getSRAMetadata $accession CheckFile $accession.metadata.tsv fi if [[ $metadata -eq 0 ]]; then FASTQLinktmp=$(grep -o 'ftp\.sra\.ebi\.ac\.uk/vol[0-9]/fastq/[^ ]*\.fastq\.gz' $accession.metadata.tsv) if [[ $gzip -eq 1 && ! -z $FASTQLinktmp && $fastq -eq 0 ]]; then awk -v FS="\t" 'NR>1{split($30, filenames, ";"); split($28, fileSizes, ";"); for (i=1; i<=length(filenames); i++) { split(filenames[i], parts, "/");file_extension = parts[length(parts)]; fileSize = fileSizes[i] / (1024 * 1024 * 1024);printf " %s %.2fG \t ", file_extension, fileSize;}printf "\n"}' ${accession}.metadata.tsv else awk -v FS="\t" 'NR>1{size7 = $7/1024;size8 = $8/1024;size39 = $39/1024/1024/1024; if (size7 == 0 && size8 != 0) {if ($0~"lite"){printf " %s\t>%.2fG\n", $1, size39} else {printf " %s\t%.2fG\n", $1, size39}} else {printf " %s\t%.2fG\n", $1, size8}}' $accession.metadata.tsv fi echo -e "\033[32mNote\033[0m: Above Run will be downloaded. You can see the details in $accession.metadata.tsv" for SRR in $(awk -vFS="\t" 'NR>1 {print $1}' $accession.metadata.tsv); do if [[ ! -f success.log ]]; then touch success.log fi if [[ $(grep -c $SRR success.log) -ge "1" ]]; then echo -e "\033[32mNote\033[0m: ${SRR} has been downloaded successfully, please check success.log for details. If you want to download it again, please remove it from success.log (sed -i '/$SRR/d' success.log)" elif [[ -f $SRR ]]; then if [[ $skip_md5 -eq 0 ]]; then checkSRA $SRR else echo -e "\033[32mNote\033[0m: Skip md5 check for $SRR, as -k option is used" fi else downloadSRA $SRR if [[ $skip_md5 -eq 0 ]]; then checkSRA $SRR else echo -e "\033[32mNote\033[0m: Skip md5 check for $SRR, as -k option is used" fi fi SRX=$(grep $SRR $accession.metadata.tsv | grep -oe "[EDS]RX[0-9]\+" | sort | uniq) if [[ ($fastq -eq 1 || "$merge" != 0 || $gzip -eq 1) && -f $SRR && ! -f ${SRR}_1.fastq.gz && ! -f ${SRR}_2.fastq.gz && ! -f ${SRR}.fastq.gz && ! -f ${SRX}_1.fastq.gz && ! -f ${SRX}_2.fastq.gz && ! -f ${SRX}.fastq.gz ]]; then # if SRA file is not exist, means fastq files have been downloaded echo -e "\033[32mNote\033[0m: Converting $SRR to fastq files using $threads threads" SrrPath=$(dirname $(realpath $SRR)) if [[ $quiet -eq 1 ]]; then fasterq-dump -p -S --include-technical -e $threads -O "$SrrPath" "$SrrPath/$SRR" > /dev/null 2>&1 else fasterq-dump -p -S --include-technical -e $threads -O "$SrrPath" "$SrrPath/$SRR" fi rm -rf fasterq.tmp* if [[ $gzip -eq 1 && -f $SRR ]]; then ls ${SRR}*fastq | while read fastq; do echo -e "\033[32mNote\033[0m: Compressing $fastq to $fastq.gz using $threads threads, may take a while" pigz -p $threads $fastq done fi fi done if [[ "$merge" != 0 && $? -eq 0 ]]; then echo -e "\033[32mNote\033[0m: All Runs have been downloaded, start to merge them" mergeSRArun $accession.metadata.tsv fi else echo -e "\033[32mNote\033[0m: You choose to skip downloading SRA files (-m used), only retrieve the metadata for each accession, see $accession.metadata.tsv" fi fi if [[ $? -eq 0 ]]; then total_equals=$(( ($(tput cols) - ${#accession} - 22) / 2 )) equals=$(printf "%-${total_equals}s" "=") echo "${equals// /=}${accession} download finished${equals// /=}" fi ) done if [[ -f $tmp_fail_flag ]]; then echo -e "\033[1;31mError\033[0m: Download failures detected. Please check \033[4mfail.log\033[0m for details." echo -e "\033[93mNote:\033[0m You can re-run the script to retry failed items." exit 1 fi ================================================ FILE: docs/ChineseTutorial.md ================================================ ## iSeq使用方法 - 中文纯手打，英文是由ChatGPT翻译的😀 ```{bash} $ iseq --help Usage: iseq -i accession [options] Required option: -i, --input [text|file] Single accession or a file containing multiple accessions. Note: Only one accession per line in the file. Optional options: -m, --metadata Skip the sequencing data downloads and only fetch the metadata for the accession. -g, --gzip Download FASTQ files in gzip format directly (*.fastq.gz). Note: if *.fastq.gz files are not available, SRA files will be downloaded and converted to *.fastq.gz files. -q, --fastq Convert SRA files to FASTQ format. -t, --threads int The number of threads to use for converting SRA to FASTQ files or compressing FASTQ files (default: 8). -e, --merge [ex|sa|st] Merge multiple fastq files into one fastq file for each Experiment, Sample or Study. ex: merge all fastq files of the same Experiment into one fastq file. Accession format: ERX, DRX, SRX, CRX. sa: merge all fastq files of the same Sample into one fastq file. Accession format: ERS, DRS, SRS, SAMC, GSM. st: merge all fastq files of the same Study into one fastq file. Accession format: ERP, DRP, SRP, CRA. -d, --database [ena|sra] Specify the database to download SRA sequencing data (default: ena). Note: new SRA files may not be available in the ENA database, even if you specify "ena". -p, --parallel int Download sequencing data in parallel, the number of connections needs to be specified, such as -p 10. Note: breakpoint continuation cannot be shared between different numbers of connections. -a, --aspera Use Aspera to download sequencing data, only support GSA/ENA database. -s, --speed int Download speed limit (MB/s) (default: 1000 MB/s). -k, --skip-md5 Skip the md5 check for the downloaded files. -r, --protocol [ftp|https] Specify the protocol only when downloading files from ENA (default: ftp). -Q, --quiet Suppress download progress bars. -o, --output text The output directory. If not exists, it will be created (default: current directory). -h, --help Show the help information. -v, --version Show the script version. ``` ### 1. `-i`, `--input` 输入你想下载的accession，首先获取accession的metadata，然后逐一对包含在内的Run ID进行下载。v1.1.0版本之后可以接收文件输入，每行一个accession。这个文件最好在linux下通过vim编辑，要不然从windows上传的话可能文字编码有问题影响下载（如win通常是`CR LF`, 而Linux能识别的是`LF`格式的）。 ```bash iseq -i PRJNA211801 ``` 目前支持以下5个数据库的6种数据格式，支持的accession前缀如下： | Databases | BioProject | Study | BioSample | Sample | Experiment | Run | | --------- | ---------- | ----- | --------- | ------ | ---------- | ---- | | **GSA** | PRJC | CRA | SAMC | \ | CRX | CRR | | **SRA** | PRJNA | SRP | SAMN | SRS | SRX | SRR | | **ENA** | PRJEB | ERP | SAME | ERS | ERX | ERR | | **DDBJ** | PRJDB | DRP | SAMD | DRS | DRX | DRR | | **GEO** | GSE | \ | GSM | \ | \ | \ | 其中对于来自于GEO数据库的两种数据格式`GSE/GSM`，会直接获取到与之关联的`PRJNA/SAMN`，然后获取到包含在内的Run ID并进行测序数据的下载。因此，本质上还是从SRA数据库中下载测序数据。 以下是一些例子： | Accession Type | Prefixes | Example | | -------------- | ------------------------------ | ----------------------------------------------------------- | | BioProject | PRJEB, PRJNA, PRJDB, PRJC, GSE | PRJEB42779, PRJNA480016, PRJDB14838, PRJCA000613, GSE122139 | | Study | ERP, DRP, SRP, CRA | ERP126685, DRP009283, SRP158268, CRA000553 | | BioSample | SAMD, SAME, SAMN, SAMC | SAMD00258402, SAMEA7997453, SAMN06479985, SAMC017083 | | Sample | ERS, DRS, SRS, GSM | ERS5684710, DRS259711, SRS2024210, GSM7417667 | | Experiment | ERX, DRX, SRX, CRX | ERX5050800, DRX406443, SRX4563689, CRX020217 | | Run | ERR, DRR, SRR, CRR | ERR5260405, DRR421224, SRR7706354, CRR311377 | 总之，无论你的accession是6种数据格式的哪一种，最终都会对其中包含的Run ID逐一下载并检查文件的md5值，如果md5值和公共数据库中的不一致，则会进行至多3轮的重新下载。如果在3次尝试内下载并校验成功，则会将文件名存入`success.log`中，否则，下载失败，文件名将会存入`fail.log`中。 ### 2. `-m`, `--metadata ` 只下载accession的样本信息，跳过测序数据的下载。 ```bash iseq -i PRJNA211801 -m iseq -i CRR343031 -m ``` 因此，无论使用不使用`-m`参数，accession的样本信息都会被获取到，如果metadata获取不到的话，iSeq程序会退出，不会执行后续下载。 > [!NOTE] > **注意1**：如果检索的accession在SRA/ENA/DDBJ/GEO数据库中，iSeq会首先在ENA数据库中进行检索，如果可以检索到样本信息，则会通过[ENA API](https://www.ebi.ac.uk/ena/portal/api/swagger-ui/index.html)下载`TSV`格式的metadata，通常有191列。但是，有些最新在SRA数据库中公开的数据可能不会及时同步到ENA数据库中。因此，如果一旦无法在ENA数据库中获取到metadata的信息，则直接通过[SRA Database Backend](https://trace.ncbi.nlm.nih.gov/Traces/sra-db-be/)下载`CSV`格式的metadata，通常有30列。为了和TSV格式保持一致，会通过`sed -i 's/,/\t/g'`的方式改为TSV格式，如何单个字段含有逗号，可能会造成列的混乱。最终，你将得到名字为`${accession}.metadata.tsv`的样本信息。 > [!NOTE] >**注意2**：如果检索的accession在GSA数据库中，iSeq会通过GSA的[getRunInfo](https://ngdc.cncb.ac.cn/gsa/search/getRunInfo)接口获取样本信息,下载`CSV`格式的metadata，通常有25列，上述得到的metadata信息会被保存为`${accession}.metadata.csv`文件。为了补充更加详细的metadata信息，iSeq会自动通过GSA的[exportExcelFile](https://ngdc.cncb.ac.cn/gsa/file/exportExcelFile)接口获取accession所属的Project的metadata信息，下载`XLSX`格式的metadata，通常有3个sheet，分别是`Sample`, `Experiment`, `Run`。最终得到的metadata信息会被保存为`${accession}.metadata.xlsx`文件。总而言之，你最终将得到名字为`${accession}.metadata.csv`和`CRA*.metadata.xlsx`的样本信息。 ### 3. `-g`, `--gzip` 直接下载gzip格式的FASTQ文件，如果不能直接下载，则会下载SRA文件并通过多线程分解和压缩转换为gzip格式。 ```bash iseq -i SRR1178105 -g ``` 由于`GSA`数据库直接存储的格式大多数为`gzip`格式，因此，如果检索的accession来自于`GSA`数据库，无论是否使用`-g` 参数都可以直接下载`gzip`格式的FASTQ文件。如果accession来自于`SRA/ENA/DDBJ/GEO`数据库，那么iSeq会首先访问`ENA`数据库，如果可以直接下载`gzip`格式的FASTQ文件，则会直接下载，否则，会下载`SRA`文件并通过`fasterq-dump`工具转换为`FASTQ`, 然后通过`pigz`工具对`FASTQ`文件进行压缩，最终得到`gzip`格式的FASTQ文件。 ### 4. `-q`, `--fastq` 将下载完成的SRA文件分解为多个未压缩的FASTQ格式。 ```bash iseq -i SRR1178105 -q ``` 该参数只有在accession来自于`SRA/ENA/DDBJ/GEO`数据库，并且下载的文件为SRA文件时才有效。总之，SRA文件下载完成后，iSeq会通过`fasterq-dump`工具转换为`FASTQ`文件，除此之外，可以通过`-t`参数指定转换的线程数。 > [!NOTE] > **注意1**：`-q`在下载单细胞数据,尤其对于scATAC-Seq数据，可以很好的分解出`I1`, `R1`, `R2`, `R3`四个文件。而如果通过`-g`参数直接下载FASTQ文件，只会得到`R1`, `R3`两个文件（如：[SRR13450125](https://www.ebi.ac.uk/ena/browser/view/SRR13450125)），这可能会导致后续数据分析时出现问题。 > [!NOTE] > **`注意2`**：`-q`和`-g`同时使用的时候，会先下载SRA文件，然后通过`fasterq-dump`工具转换为`FASTQ`文件，最后通过`pigz`压缩为gzip格式。并不是直接下载gzip格式的FASTQ文件，这对获取全面的单细胞数据非常有用。 ### 5. `-t`, `--threads` 指定分解SRA文件为FASTQ文件或者压缩FASTQ文件的线程数，默认为8。 ```bash iseq -i SRR1178105 -q -t 10 ``` 考虑到测序数据一般都是大文件，因此，可以通过`-t`参数指定分解的线程数，但是，线程数不是越多越好，因为线程数过多会导致CPU或者IO负载过高，尤其是`fasterq-dump`会占用大量IO，从而影响其他任务的执行。 ### 6. `-e`, `--merge` 将Experiment中的多个FASTQ文件合并为一个FASTQ文件。 v1.1.0版本之后，不仅可以对同一个Experiment中的多个FASTQ文件合并，还可以选择不用的参数对Sample (-e sa)或者Study (-e st)进行合并。 ```bash iseq -i SRX003906 -g -e ex ``` 虽然大多数情况下，一个Experiment仅包含一个Run，但是有些测序数据中的Experiment中可能包含多个Run（如[SRX003906](https://www.ebi.ac.uk/ena/browser/view/SRX003906), [CRX020217](https://ngdc.cncb.ac.cn/gsa/search?searchTerm=CRX020217)），因此，可以通过`-e`参数将Experiment中的多个FASTQ文件合并为一个FASTQ文件。考虑到双端测序时，`fastq_1`和`fastq_2`文件需要同时合并且对应行号的序列名需要保持一致，因此，iSeq会按照相同的顺序合并多个FASTQ文件。最终，对于单端测序数据会生成一个文件：`SRX*.fastq.gz`，对于双端测序数据会生成两个文件：`SRX*_1.fastq.gz`和`SRX*_2.fastq.gz`。对于Sample (-e sa)或者Study (-e st)同理。 > [!NOTE] > **注意1**：如果accession是Run ID，则不能使用`-e`参数，反正就是你想合并的时候，输入的accession必须大于等于要合并的那一级所需要的accession。目前，iSeq支持合并gzip压缩和未压缩的FASTQ文件，对于bam文件和tar.gz文件等暂不支持合并。 > [!NOTE] > **注意2**：正常情况下，一个Experiment仅包含一个Run时，相同的Run应该有相同的前缀。如`SRR52991314_1.fq.gz`和`SRR52991314_2.fq.gz`都有相同的前缀名`SRR52991314`，此时，iSeq会直接重命名为`SRX*_1.fastq.gz`和`SRX*_2.fastq.gz`。但是有例外的情况，如[CRX006713](https://ngdc.cncb.ac.cn/gsa/search?searchTerm=CRX006713)中包含有一个Run为`CRR007192`，但是该Run包含多个前缀名不同的文件，此时，iSeq会直接重命名为`SRX*_原本的文件名`，如这里将直接重命名为：`CRX006713_CRD015671.gz`和`CRX006713_CRD015672.gz`。 ### 7. `-d`, `--database` 指定下载SRA文件的数据库，支持`ena`和`sra`两种数据库。 ```bash iseq -i SRR1178105 -d sra ``` 通常情况下，iSeq默认会自动检测可用的数据库，所以不需要指定`-d`参数。但是，有些SRA文件可能在ENA数据库中下载速度较慢，此时可以通过`-d sra`强制指定从SRA数据库下载数据。 > [!NOTE] > **注意**：如果在ENA数据库中没有找到对应的SRA文件，即使指定了`-d ena`参数，iSeq依旧会自动切换到SRA数据库进行下载。 ### 8. `-p`, `--parallel` 开启多线程下载，需要指定下载的线程数。 ```bash iseq -i PRJNA211801 -p 10 ``` 考虑到`wget`在部分情况下下载速度较慢，因此，可以通过`-p`参数让`iSeq`调用`axel`工具进行多线程下载。 > [!NOTE] > **注意1**：多线程下载的断点续传功能只能在同一个线程内有效，即如果在第一次下载时使用了`-p 10`参数，那么在第二次下载时也需要使用`-p 10`参数，否则无法实现断点续传。 > [!NOTE] > **注意2**：如上，iSeq将全程保持10个连接进行下载，因此在下载的过程中你将多次看到相同的`Connection * finished`弹出，这是因为有些连接下载完成后会立即释放，然后重新建立新的连接进行下载。 ### 9. `-a`, `--aspera` 使用Aspera进行下载。 ```bash iseq -i PRJNA211801 -a -g ``` 由于`Aspera`下载速度较快，因此，可以通过`-a`参数让`iSeq`调用`ascp`工具进行下载。可惜的是，目前仅有`GSA`和`ENA`数据库支持`Aspera`下载，`NCBI SRA`数据库由于广泛采用了`Google Cloud` 和 `AWS Cloud`技术以及其他原因（请看[Avoid-using-ascp](https://github.com/ncbi/sra-tools/wiki/Avoid-using-ascp-directly-for-downloads)），暂无法使用`Aspera`进行下载。 > [!NOTE] > **注意1**：在访问`GSA`数据库时，如果存在`HUAWEI Cloud`的下载链接，`iSeq`会优先通过`HUAWEI Cloud`通道下载，即使使用了`-a`参数，`iSeq`也会自动切换到`HUAWEI Cloud`下载。这么做的原因是`HUAWEI Cloud`下载速度更快和稳定。因此，在下载`GSA`数据时，推荐使用`-a`参数，这样如果访问不到`HUAWEI Cloud`通道，通过`Aspera`通道下载速度也不慢，否则，只能通过`wget`或者`axel`进行下载，而这两种方式下载速度较慢。 > [!NOTE] > **注意2**：由于`Aspera`需要key文件，因此，`iSeq`会自动在`conda`环境或者`~/.aspera`目录下查找key文件，如果没有找到，则无法下载。 ### 10. `-o`, `--output` v1.1.0之后可以选择输出文件的位置，如果不存在相应的文件夹，则创建 ```bash iseq -i SRR931847 -o PRJNA211801 ``` ### 11. `-s`, `--speed` v1.2.0之后可以选择限速下载，单位是MB/s ```bash iseq -i SRR931847 -s 10 ``` ### 12 `-k`, `--skip-md5` v1.9.2之后可以选择跳过md5文件完整性检验。当你初次跳过后, 想再次进行md5检验，只需要删除-k参数，执行相同的代码就可以了。 ### 13 `-r`, `--protocol` 从 v1.9.4 开始，当在 ENA 下载文件时可以指定协议。这样做是因为有时候通过 HTTPS 下载的速度会比 FTP 更快。 ### 14 `-Q `，`--quiet` 从v1.9.7开始，可以使用-Q或--quiet选项来不显示进度条，避免log文件反复写入进度信息。 ================================================ FILE: docs/Examples.md ================================================ # Examples of using iSeq ## Basic examples 1. Download all Run sequencing data and metadata associated with a Project ``` iseq -i PRJNA211801 ``` ![e01](./img/e01.png) if you run the same code again, iSeq will **skip** downloaded data ![e01_1](./img/e01_1.png) ```bash iseq -i CRA000553 ``` iSeq will prioritize access to the **HUAWEI Cloud** when accessing the **GSA** database. ![e02](./img/e02.png) ```bash iseq -i GSE122139 ``` If the **MD5 check fails** after the sequencing data is downloaded, iSeq will attempt to re-download up to 3 times. If it still fails, the ID will be stored in the **fail.log file**. ![e03](./img/e03.png) ```bash iseq -i SRR931847 -o PRJNA211801 ``` iSeq will save result in `PRJNA211801` directory. ![e13](./img/e14.png) 3. Download all sequencing data and metadata associated with an Experiment or a BioSample ```bash iseq -i SRX477044 iseq -i CRX020217 iseq -i GSM7417667 ``` 4. Download a single sequencing data and metadata associated with a Run ```bash iseq -i SRR1178105 iseq -i CRR311377 ``` 5. Only download metadata information ```bash iseq -i PRJNA211801 -m ``` ![e04](./img/e04.png) 6. Download SRA files and convert them to FASTQ files ```bash iseq -i SRR1178105 -q ``` ![e05](./img/e05.png) 7. Download sequencing data in parallel with 10 connections ```bash iseq -i SRR1178105 -p 10 ``` ![e06](./img/e06.png) 8. Download sequencing data by Aspera ```bash iseq -i SRR1178105 -a ``` ![e07](./img/e07.png) ```bash iseq -i CRR311377 -a ``` When accessing the GSA database using Aspera, it will still prioritize access to the HUAWEI Cloud. If it is not available, it will proceed with the normal download using Aspera ![e07_1](./img/e07_1.png) 9. Download gzip-formatted FASTQ files directly ```bash iseq -i SRR1178105 -g ``` ![e08](./img/e08.png) 9. Merge multiple FASTQ files into one FASTQ file - Merge multiple FASTQ files into one FASTQ file for `each Experiment`. ```bash iseq -i CRX020217 -e ex ``` ![e09](./img/e09_1.png) - Merge multiple FASTQ files into one FASTQ file for `each Sample`. ```bash rm success.log iseq -i SAMC017083 -e sa ``` ![e09](./img/e09_2.png) - Merge multiple FASTQ files into one FASTQ file for `each Study`. ```bash rm success.log iseq -i PRJCA000613 -e st ``` ![e09](./img/e09_3.png) 9. Download sequencing data from SRA database ```bash iseq -i SRR1178105 -d sra ``` ![e10](./img/e10.png) ## Advanced examples 1. Use 10 connections to download SRA files in parallel with `-p 10`, then demultiplex into FASTQ files with the default 8 threads using `-q` and quickly compress with `-g`. Finally, merge Runs from the same Experiment with `-e`. ```bash iseq -i SRX2993509 -q -g -p 10 -e ex ``` ![e11](./img/e11.png) 2. Use Aspera with `-a` to directly download gzip-formatted FASTQ files with `-g`, and then merge Runs from the same Experiment. If there is only one Run, rename it with `-e`. ```bash iseq -i PRJNA211801 -a -g -e ex ``` ![e12](./img/e12.png) 3. Batch download by giving a file and using Aspera with `-a` to directly download gzip-formatted FASTQ files with `-g`. ```bash iseq -i SRR_Acc_List.txt -a -g ``` ![e13](./img/e13.png) ================================================ FILE: docs/benchmark/README.md ================================================ ## Stability iSeq demonstrated high stability, successfully downloading and passing integrity checks for a large number of NGS files from GSA and INSDC-related databases. ## Efficiency - FTP Channel: Prioritizing ENA's FTP channel, iSeq showed fastest and stable download speeds with Aspera, while supporting parallel downloads with AXEL. - Cloud Storage: AXEL was faster for AWS Cloud channel from SRA, while Wget was faster for HUAWEI Cloud channel from GSA. - Gzip-formatted FASTQ Files Download: Directly fetching gzip-formatted FASTQ files proved to be the fastest method, with the option to use "--fastq" and "--gzip" parameters for specific data types. Increasing threads notably improved compression speed. ## Overview ![benchmark_result](https://github.com/BioOmics/iSeq/blob/main/docs/img/benchmark.png) ================================================ FILE: docs/benchmark/TestFasterqDump/testFasterqDump.log ================================================ 2 Convert SRA to FASTQ 74 2 Compress FASTQ 803 3 Convert SRA to FASTQ 66 3 Compress FASTQ 528 4 Convert SRA to FASTQ 64 4 Compress FASTQ 404 5 Convert SRA to FASTQ 53 5 Compress FASTQ 333 6 Convert SRA to FASTQ 53 6 Compress FASTQ 289 7 Convert SRA to FASTQ 50 7 Compress FASTQ 251 8 Convert SRA to FASTQ 67 8 Compress FASTQ 228 9 Convert SRA to FASTQ 75 9 Compress FASTQ 206 10 Convert SRA to FASTQ 77 10 Compress FASTQ 190 11 Convert SRA to FASTQ 76 11 Compress FASTQ 171 12 Convert SRA to FASTQ 62 12 Compress FASTQ 153 13 Convert SRA to FASTQ 72 13 Compress FASTQ 163 14 Convert SRA to FASTQ 82 14 Compress FASTQ 129 15 Convert SRA to FASTQ 70 15 Compress FASTQ 124 16 Convert SRA to FASTQ 71 16 Compress FASTQ 119 17 Convert SRA to FASTQ 59 17 Compress FASTQ 114 18 Convert SRA to FASTQ 62 18 Compress FASTQ 103 19 Convert SRA to FASTQ 66 19 Compress FASTQ 99 20 Convert SRA to FASTQ 68 20 Compress FASTQ 94 21 Convert SRA to FASTQ 81 21 Compress FASTQ 88 22 Convert SRA to FASTQ 67 22 Compress FASTQ 86 23 Convert SRA to FASTQ 72 23 Compress FASTQ 82 24 Convert SRA to FASTQ 80 24 Compress FASTQ 80 25 Convert SRA to FASTQ 66 25 Compress FASTQ 78 26 Convert SRA to FASTQ 64 26 Compress FASTQ 70 27 Convert SRA to FASTQ 65 27 Compress FASTQ 71 28 Convert SRA to FASTQ 66 28 Compress FASTQ 70 29 Convert SRA to FASTQ 70 29 Compress FASTQ 72 30 Convert SRA to FASTQ 85 30 Compress FASTQ 71 31 Convert SRA to FASTQ 67 31 Compress FASTQ 71 32 Convert SRA to FASTQ 77 32 Compress FASTQ 71 33 Convert SRA to FASTQ 74 33 Compress FASTQ 67 34 Convert SRA to FASTQ 78 34 Compress FASTQ 65 35 Convert SRA to FASTQ 84 35 Compress FASTQ 60 36 Convert SRA to FASTQ 95 36 Compress FASTQ 66 37 Convert SRA to FASTQ 86 37 Compress FASTQ 61 38 Convert SRA to FASTQ 81 38 Compress FASTQ 67 39 Convert SRA to FASTQ 80 39 Compress FASTQ 68 40 Convert SRA to FASTQ 88 40 Compress FASTQ 64 ================================================ FILE: docs/benchmark/TestFasterqDump/timefasterqDump.sh ================================================ ================================================ FILE: docs/benchmark/TestiSeq-2GB/TestiSeq-2GB.bash ================================================ #!/bin/bash if command -v iseq >/dev/null 2>&1; then sleep 0 else echo "iseq is not installed" echo "Please install iseq first" echo "conda create -n iseq -c conda-forge -c bioconda iseq" exit 1 fi calculate_time_difference() { start_time=$1 end_time=$2 method=$3 diff=$((end_time - start_time)) echo -e "${method}\t${diff}" } # Create a directory to store the downloaded files if [ ! -d "iseq" ]; then mkdir iseq fi cd ./iseq # =======================================ENA============================================= for ((i=1; i<=20; i++)); do # SRX3662754 (SE, 540 MB) SRX=SRX3662754 # CRX917377 (SE, 540 MB) CRX=CRX917377 # Perform tests for ENA FTP download by Wget start=$(date +%s) iseq -i $SRX end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeENA.log rm -rf * # Perform tests for ENA FTP download by Aspera start=$(date +%s) iseq -i $SRX -a end=$(date +%s) calculate_time_difference $start $end "Aspera" >> ../timeENA.log rm -rf * # Perform tests for ENA FTP download by 10 parallel by AXEL start=$(date +%s) iseq -i $SRX -p 10 end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeENA.log rm -rf * # =======================================ENA============================================= # =======================================SRA============================================= # Perform tests for SRA HTTPS download by Wget start=$(date +%s) iseq -i $SRX -d sra end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeSRA.log rm -rf * # Perform tests for SRA HTTPS download by AXEL start=$(date +%s) iseq -i $SRX -d sra -p 10 end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeSRA.log rm -rf * # =======================================SRA============================================= # =======================================ENA FQ/FQ.GZ==================================== # Perform tests to compare the time taken for directly downloading fq.gz files versus downloading fq files and then compressing them into fq.gz. start=$(date +%s) iseq -i $SRX -a -q end=$(date +%s) calculate_time_difference $start $end "--fastq" >> ../timeFQ.log rm -rf * start=$(date +%s) iseq -i $SRX -a -q -g end=$(date +%s) calculate_time_difference $start $end "--fastq+gzip" >> ../timeFQ.log rm -rf * start=$(date +%s) iseq -i $SRX -a -g end=$(date +%s) calculate_time_difference $start $end "--gzip" >> ../timeFQ.log rm -rf * # =======================================ENA FQ/FQ.GZ==================================== # =======================================GSA FTP============================================= # Perform tests for GSA FTP download by Wget start=$(date +%s) iseq -i $CRX -m wget ftp://download.big.ac.cn/gsa2/CRA014342/CRR1007729/CRR1007729.fq.gz end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeGSAFTP.log rm -rf * # Perform tests for GSA FTP download by AXEL start=$(date +%s) iseq -i $CRX -m axel -n 10 -a -c ftp://download.big.ac.cn/gsa2/CRA014342/CRR1007729/CRR1007729.fq.gz end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeGSAFTP.log rm -rf * # Perform tests for GSA FTP download by Aspera start=$(date +%s) iseq -i $CRX -m wget https://ngdc.cncb.ac.cn/gsa/file/downFile?fileName=download/aspera01.openssh -O .asperaGSA.openssh --quiet ascp -P 33001 -i .asperaGSA.openssh -QT -l 1000m -k1 -d aspera01@download.cncb.ac.cn:gsa2/CRA014342/CRR1007729/CRR1007729.fq.gz . end=$(date +%s) calculate_time_difference $start $end "Aspera" >> ../timeGSAFTP.log rm -rf * # =======================================GSA HUAWEI_CLOUD============================================= # Perform tests for GSA HUAWEI_CLOUD download by AXEL start=$(date +%s) iseq -i $CRX -m axel -n 10 -a -c https://cncb-gsa.obs.cn-north-4.myhuaweicloud.com/data/gsapub/CRA014342/CRR1007729/CRR1007729.fq.gz end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeGSAHW.log rm -rf * # Perform tests for GSA HUAWEI_CLOUD download by Wget start=$(date +%s) iseq -i $CRX -m wget https://cncb-gsa.obs.cn-north-4.myhuaweicloud.com/data/gsapub/CRA014342/CRR1007729/CRR1007729.fq.gz end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeGSAHW.log rm -rf * done cd .. ================================================ FILE: docs/benchmark/TestiSeq-2GB/timeENA.log ================================================ Wget 583 Aspera 215 AXEL 59 Wget 976 Aspera 87 AXEL 73 Wget 607 Aspera 208 AXEL 69 Wget 187 Aspera 312 AXEL 54 Wget 150 Aspera 196 AXEL 129 Wget 522 Aspera 275 AXEL 113 Wget 671 Aspera 147 AXEL 70 Wget 151 Aspera 154 AXEL 46 Wget 142 Aspera 36 AXEL 50 Wget 1330 Aspera 51 AXEL 96 Wget 155 Aspera 57 AXEL 76 Wget 113 Aspera 246 AXEL 55 Wget 860 Aspera 732 AXEL 126 Wget 750 Aspera 53 AXEL 49 Wget 1137 Aspera 57 AXEL 104 Wget 909 Aspera 275 AXEL 74 Wget 804 Aspera 83 AXEL 67 Wget 94 Aspera 314 AXEL 53 Wget 814 Aspera 52 AXEL 93 Wget 1444 Aspera 48 AXEL 75 Wget 781 Aspera 23 AXEL 65 Wget 992 Aspera 440 AXEL 103 Wget 812 Aspera 26 AXEL 95 Wget 268 Aspera 30 AXEL 130 Wget 314 Aspera 35 AXEL 147 Wget 1206 Aspera 32 AXEL 100 Wget 600 Aspera 36 AXEL 157 Wget 354 Aspera 33 AXEL 130 Wget 118 Aspera 32 AXEL 253 Wget 98 Aspera 16 AXEL 128 Wget 990 Aspera 59 AXEL 121 Wget 520 Aspera 33 AXEL 177 Wget 216 Aspera 43 AXEL 140 Wget 887 Aspera 53 AXEL 103 Wget 1022 Aspera 55 AXEL 64 Wget 57 Aspera 50 AXEL 211 Wget 354 Aspera 315 AXEL 156 Wget 669 Aspera 53 AXEL 135 Wget 1339 Aspera 47 AXEL 92 Wget 431 Aspera 95 AXEL 56 ================================================ FILE: docs/benchmark/TestiSeq-2GB/timeFQ.log ================================================ --fastq 537 --fastq+gzip 316 --gzip 42 --fastq 116 --fastq+gzip 211 --gzip 149 --fastq 293 --fastq+gzip 315 --gzip 144 --fastq 109 --fastq+gzip 240 --gzip 176 --fastq 154 --fastq+gzip 487 --gzip 43 --fastq 79 --fastq+gzip 245 --gzip 43 --fastq 78 --fastq+gzip 242 --gzip 56 --fastq 79 --fastq+gzip 236 --gzip 49 --fastq 69 --fastq+gzip 389 --gzip 43 --fastq 74 --fastq+gzip 282 --gzip 1196 --fastq 354 --fastq+gzip 160 --gzip 43 --fastq 166 --fastq+gzip 243 --gzip 62 --fastq 373 --fastq+gzip 218 --gzip 89 --fastq 326 --fastq+gzip 378 --gzip 253 --fastq 190 --fastq+gzip 400 --gzip 98 --fastq 879 --fastq+gzip 176 --gzip 69 --fastq 185 --fastq+gzip 352 --gzip 62 --fastq 142 --fastq+gzip 282 --gzip 54 --fastq 223 --fastq+gzip 253 --gzip 811 --fastq 78 --fastq+gzip 312 --gzip 1534 --fastq 291 --fastq+gzip 419 --gzip 32 --fastq 46 --fastq+gzip 250 --gzip 250 --fastq 341 --fastq+gzip 323 --gzip 35 --fastq 50 --fastq+gzip 389 --gzip 298 --fastq 55 --fastq+gzip 367 --gzip 39 --fastq 54 --fastq+gzip 259 --gzip 40 --fastq 62 --fastq+gzip 450 --gzip 70 --fastq 176 --fastq+gzip 185 --gzip 50 --fastq 52 --fastq+gzip 284 --gzip 61 --fastq 56 --fastq+gzip 297 --gzip 46 --fastq 58 --fastq+gzip 264 --gzip 129 --fastq 134 --fastq+gzip 247 --gzip 44 --fastq 366 --fastq+gzip 221 --gzip 262 --fastq 449 --fastq+gzip 379 --gzip 59 --fastq 86 --fastq+gzip 273 --gzip 66 --fastq 75 --fastq+gzip 281 --gzip 69 --fastq 91 --fastq+gzip 286 --gzip 66 --fastq 118 --fastq+gzip 498 --gzip 60 --fastq 280 --fastq+gzip 228 --gzip 75 --fastq 228 --fastq+gzip 200 --gzip 72 ================================================ FILE: docs/benchmark/TestiSeq-2GB/timeGSAFTP.log ================================================ Wget 1085 AXEL 148 Aspera 89 Wget 1244 AXEL 134 Aspera 87 Wget 956 AXEL 137 Aspera 92 Wget 1083 AXEL 171 Aspera 87 Wget 1113 AXEL 172 Aspera 98 Wget 983 AXEL 125 Aspera 100 Wget 1214 AXEL 111 Aspera 94 Wget 1080 AXEL 119 Aspera 96 Wget 1433 AXEL 186 Aspera 98 Wget 1281 AXEL 155 Aspera 84 Wget 1171 AXEL 117 Aspera 18 Wget 1124 AXEL 174 Aspera 88 Wget 1839 AXEL 164 Aspera 16 Wget 1340 AXEL 165 Aspera 87 Wget 1262 AXEL 147 Aspera 85 Wget 1256 AXEL 170 Aspera 83 Wget 1245 AXEL 141 Aspera 96 Wget 819 AXEL 127 Aspera 93 Wget 1257 AXEL 140 Aspera 95 Wget 1101 AXEL 133 Aspera 85 Wget 1180 AXEL 113 Aspera 76 Wget 1237 AXEL 139 Aspera 76 Wget 787 AXEL 131 Aspera 88 Wget 929 AXEL 151 Aspera 89 Wget 861 AXEL 138 Aspera 102 Wget 878 AXEL 104 Aspera 99 Wget 1095 AXEL 143 Aspera 121 Wget 807 AXEL 118 Aspera 87 Wget 971 AXEL 115 Aspera 83 Wget 1322 AXEL 166 Aspera 97 Wget 1226 AXEL 158 Aspera 13 Wget 1088 AXEL 139 Aspera 13 Wget 1099 AXEL 142 Aspera 87 Wget 1274 AXEL 177 Aspera 87 Wget 1819 AXEL 180 Aspera 91 Wget 1201 AXEL 136 Aspera 13 Wget 1131 AXEL 151 Aspera 81 Wget 1289 AXEL 123 Aspera 82 Wget 1200 AXEL 154 Aspera 82 Wget 944 AXEL 105 Aspera 80 ================================================ FILE: docs/benchmark/TestiSeq-2GB/timeGSAHW.log ================================================ AXEL 21 Wget 10 AXEL 20 Wget 14 AXEL 16 Wget 16 AXEL 17 Wget 10 AXEL 13 Wget 11 AXEL 9 Wget 15 AXEL 22 Wget 15 AXEL 21 Wget 11 AXEL 21 Wget 13 AXEL 17 Wget 17 AXEL 15 Wget 11 AXEL 10 Wget 11 AXEL 15 Wget 16 AXEL 21 Wget 11 AXEL 21 Wget 10 AXEL 15 Wget 11 AXEL 29 Wget 13 AXEL 14 Wget 11 AXEL 29 Wget 10 AXEL 13 Wget 10 AXEL 18 Wget 9 AXEL 20 Wget 8 AXEL 19 Wget 13 AXEL 26 Wget 9 AXEL 20 Wget 8 AXEL 23 Wget 9 AXEL 20 Wget 9 AXEL 20 Wget 10 AXEL 20 Wget 10 AXEL 19 Wget 8 AXEL 21 Wget 8 AXEL 21 Wget 16 AXEL 21 Wget 10 AXEL 21 Wget 10 AXEL 21 Wget 11 AXEL 21 Wget 9 AXEL 21 Wget 8 AXEL 21 Wget 10 AXEL 23 Wget 8 AXEL 19 Wget 8 ================================================ FILE: docs/benchmark/TestiSeq-2GB/timeSRA.log ================================================ Wget 125 AXEL 75 Wget 261 AXEL 79 Wget 87 AXEL 85 Wget 95 AXEL 64 Wget 120 AXEL 86 Wget 108 AXEL 59 Wget 76 AXEL 63 Wget 80 AXEL 77 Wget 111 AXEL 84 Wget 67 AXEL 66 Wget 109 AXEL 67 Wget 195 AXEL 62 Wget 218 AXEL 50 Wget 167 AXEL 103 Wget 74 AXEL 152 Wget 106 AXEL 181 Wget 94 AXEL 102 Wget 159 AXEL 141 Wget 75 AXEL 78 Wget 129 AXEL 77 Wget 102 AXEL 51 Wget 117 AXEL 68 Wget 82 AXEL 53 Wget 91 AXEL 54 Wget 100 AXEL 45 Wget 84 AXEL 44 Wget 98 AXEL 36 Wget 94 AXEL 41 Wget 84 AXEL 48 Wget 104 AXEL 46 Wget 85 AXEL 43 Wget 122 AXEL 39 Wget 84 AXEL 49 Wget 88 AXEL 63 Wget 120 AXEL 57 Wget 101 AXEL 62 Wget 80 AXEL 46 Wget 98 AXEL 49 Wget 98 AXEL 58 Wget 98 AXEL 43 ================================================ FILE: docs/benchmark/TestiSeq-540MB/TestiSeq-540MB.bash ================================================ #!/bin/bash if command -v iseq >/dev/null 2>&1; then sleep 0 else echo "iseq is not installed" echo "Please install iseq first" exit 1 fi calculate_time_difference() { start_time=$1 end_time=$2 method=$3 diff=$((end_time - start_time)) echo -e "${method}\t${diff}" } # Create a directory to store the downloaded files if [ ! -d "iseq" ]; then mkdir iseq fi cd ./iseq # =======================================ENA============================================= for ((i=1; i<=20; i++)); do # SRX1663467 (PE, 2 GB) SRX=SRX1663467 # CRX095512 (SE, 2 GB) CRX=CRX095512 # Perform tests for ENA FTP download by Wget start=$(date +%s) iseq -i $SRX end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeENA.log rm -rf * # Perform tests for ENA FTP download by Aspera start=$(date +%s) iseq -i $SRX -a end=$(date +%s) calculate_time_difference $start $end "Aspera" >> ../timeENA.log rm -rf * # Perform tests for ENA FTP download by 10 parallel by AXEL start=$(date +%s) iseq -i $SRX -p 10 end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeENA.log rm -rf * # =======================================ENA============================================= # =======================================SRA============================================= # Perform tests for SRA HTTPS download by Wget start=$(date +%s) iseq -i $SRX -d sra end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeSRA.log rm -rf * # Perform tests for SRA HTTPS download by AXEL start=$(date +%s) iseq -i $SRX -d sra -p 10 end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeSRA.log rm -rf * # =======================================SRA============================================= # =======================================ENA FQ/FQ.GZ==================================== # Perform tests to compare the time taken for directly downloading fq.gz files versus downloading fq files and then compressing them into fq.gz. start=$(date +%s) iseq -i $SRX -a -q end=$(date +%s) calculate_time_difference $start $end "--fastq" >> ../timeFQ.log rm -rf * start=$(date +%s) iseq -i $SRX -a -q -g end=$(date +%s) calculate_time_difference $start $end "--fastq+gzip" >> ../timeFQ.log rm -rf * start=$(date +%s) iseq -i $SRX -a -g end=$(date +%s) calculate_time_difference $start $end "--gzip" >> ../timeFQ.log rm -rf * # =======================================ENA FQ/FQ.GZ==================================== # =======================================GSA FTP============================================= # Perform tests for GSA FTP download by Wget start=$(date +%s) iseq -i $CRX -m wget ftp://download.big.ac.cn/gsa3/CRA002399/CRR120307/CRR120307.fastq.gz end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeGSAFTP.log rm -rf * # Perform tests for GSA FTP download by AXEL start=$(date +%s) iseq -i $CRX -m axel -n 10 -a -c ftp://download.big.ac.cn/gsa3/CRA002399/CRR120307/CRR120307.fastq.gz end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeGSAFTP.log rm -rf * # Perform tests for GSA FTP download by Aspera start=$(date +%s) iseq -i $CRX -m wget https://ngdc.cncb.ac.cn/gsa/file/downFile?fileName=download/aspera01.openssh -O .asperaGSA.openssh --quiet ascp -P 33001 -i .asperaGSA.openssh -QT -l 1000m -k1 -d aspera01@download.cncb.ac.cn:gsa3/CRA002399/CRR120307/CRR120307.fastq.gz . end=$(date +%s) calculate_time_difference $start $end "Aspera" >> ../timeGSAFTP.log rm -rf * # =======================================GSA HUAWEI_CLOUD============================================= # Perform tests for GSA HUAWEI_CLOUD download by AXEL start=$(date +%s) iseq -i ${CRX} -p 10 end=$(date +%s) calculate_time_difference $start $end "AXEL" >> ../timeGSAHW.log rm -rf * # Perform tests for GSA HUAWEI_CLOUD download by Wget start=$(date +%s) iseq -i ${CRX} end=$(date +%s) calculate_time_difference $start $end "Wget" >> ../timeGSAHW.log rm -rf * done cd .. ================================================ FILE: docs/benchmark/TestiSeq-540MB/timeENA.log ================================================ Wget 781 Aspera 23 AXEL 65 Wget 992 Aspera 440 AXEL 103 Wget 812 Aspera 26 AXEL 95 Wget 268 Aspera 30 AXEL 130 Wget 314 Aspera 35 AXEL 147 Wget 1206 Aspera 32 AXEL 100 Wget 600 Aspera 36 AXEL 157 Wget 354 Aspera 33 AXEL 130 Wget 118 Aspera 32 AXEL 253 Wget 98 Aspera 16 AXEL 128 Wget 990 Aspera 59 AXEL 121 Wget 520 Aspera 33 AXEL 177 Wget 216 Aspera 43 AXEL 140 Wget 887 Aspera 53 AXEL 103 Wget 1022 Aspera 55 AXEL 64 Wget 57 Aspera 50 AXEL 211 Wget 354 Aspera 315 AXEL 156 Wget 669 Aspera 53 AXEL 135 Wget 1339 Aspera 47 AXEL 92 Wget 431 Aspera 95 AXEL 56 ================================================ FILE: docs/benchmark/TestiSeq-540MB/timeFQ.log ================================================ --fastq 291 --fastq+gzip 419 --gzip 32 --fastq 46 --fastq+gzip 250 --gzip 250 --fastq 341 --fastq+gzip 323 --gzip 35 --fastq 50 --fastq+gzip 389 --gzip 298 --fastq 55 --fastq+gzip 367 --gzip 39 --fastq 54 --fastq+gzip 259 --gzip 40 --fastq 62 --fastq+gzip 450 --gzip 70 --fastq 176 --fastq+gzip 185 --gzip 50 --fastq 52 --fastq+gzip 284 --gzip 61 --fastq 56 --fastq+gzip 297 --gzip 46 --fastq 58 --fastq+gzip 264 --gzip 129 --fastq 134 --fastq+gzip 247 --gzip 44 --fastq 366 --fastq+gzip 221 --gzip 262 --fastq 449 --fastq+gzip 379 --gzip 59 --fastq 86 --fastq+gzip 273 --gzip 66 --fastq 75 --fastq+gzip 281 --gzip 69 --fastq 91 --fastq+gzip 286 --gzip 66 --fastq 118 --fastq+gzip 498 --gzip 60 --fastq 280 --fastq+gzip 228 --gzip 75 --fastq 228 --fastq+gzip 200 --gzip 72 ================================================ FILE: docs/benchmark/TestiSeq-540MB/timeGSAFTP.log ================================================ Wget 1180 AXEL 113 Aspera 76 Wget 1237 AXEL 139 Aspera 76 Wget 787 AXEL 131 Aspera 88 Wget 929 AXEL 151 Aspera 89 Wget 861 AXEL 138 Aspera 102 Wget 878 AXEL 104 Aspera 99 Wget 1095 AXEL 143 Aspera 121 Wget 807 AXEL 118 Aspera 87 Wget 971 AXEL 115 Aspera 83 Wget 1322 AXEL 166 Aspera 97 Wget 1226 AXEL 158 Aspera 13 Wget 1088 AXEL 139 Aspera 13 Wget 1099 AXEL 142 Aspera 87 Wget 1274 AXEL 177 Aspera 87 Wget 1819 AXEL 180 Aspera 91 Wget 1201 AXEL 136 Aspera 13 Wget 1131 AXEL 151 Aspera 81 Wget 1289 AXEL 123 Aspera 82 Wget 1200 AXEL 154 Aspera 82 Wget 944 AXEL 105 Aspera 80 ================================================ FILE: docs/benchmark/TestiSeq-540MB/timeGSAHW.log ================================================ AXEL 18 Wget 9 AXEL 20 Wget 8 AXEL 19 Wget 13 AXEL 26 Wget 9 AXEL 20 Wget 8 AXEL 23 Wget 9 AXEL 20 Wget 9 AXEL 20 Wget 10 AXEL 20 Wget 10 AXEL 19 Wget 8 AXEL 21 Wget 8 AXEL 21 Wget 16 AXEL 21 Wget 10 AXEL 21 Wget 10 AXEL 21 Wget 11 AXEL 21 Wget 9 AXEL 21 Wget 8 AXEL 21 Wget 10 AXEL 23 Wget 8 AXEL 19 Wget 8 ================================================ FILE: docs/benchmark/TestiSeq-540MB/timeSRA.log ================================================ Wget 102 AXEL 51 Wget 117 AXEL 68 Wget 82 AXEL 53 Wget 91 AXEL 54 Wget 100 AXEL 45 Wget 84 AXEL 44 Wget 98 AXEL 36 Wget 94 AXEL 41 Wget 84 AXEL 48 Wget 104 AXEL 46 Wget 85 AXEL 43 Wget 122 AXEL 39 Wget 84 AXEL 49 Wget 88 AXEL 63 Wget 120 AXEL 57 Wget 101 AXEL 62 Wget 80 AXEL 46 Wget 98 AXEL 49 Wget 98 AXEL 58 Wget 98 AXEL 43 ================================================ FILE: docs/benchmark/benchmark.ipynb ================================================ { "cells": [ { "cell_type": "code", "execution_count": 187, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [], "source": [ "library(ggplot2)\n", "library(patchwork)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [], "source": [ "theme_chy <- function() {theme(\n", " axis.text = element_text(size = 12, colour = \"black\"),\n", " axis.line = element_line(colour = \"black\"),\n", " title = element_text(size = 15, colour = \"black\"),\n", " legend.text = element_text(size = 12, colour = \"black\"),\n", " legend.title = element_text(size = 15, colour = \"black\"),\n", " panel.background = element_blank()\n", " )\n", "}" ] }, { "cell_type": "code", "execution_count": 188, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 270 } }, "output_type": "display_data" } ], "source": [ "timeENA1 <- read.table(\"./TestiSeq-540MB/timeENA.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4.5, repr.plot.height = 5)\n", "ggplot(timeENA1, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"FTP from ENA\", x = \"\", y = \"Time (s)\")-> p1\n", "p1" ] }, { "cell_type": "code", "execution_count": 189, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 270 } }, "output_type": "display_data" } ], "source": [ "timeFQ1 <- read.table(\"./TestiSeq-540MB/timeFQ.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4.5, repr.plot.height = 5)\n", "ggplot(timeFQ1, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"--fastq\" = \"#00afbb\", \"--fastq+gzip\" = \"#e7b800\", \"--gzip\" = \"#fc4e07\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"SRX3662754 (SE, 540 Mbp)\", x = \"\", y = \"\")-> p2\n", "p2" ] }, { "cell_type": "code", "execution_count": 190, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 240 } }, "output_type": "display_data" } ], "source": [ "timeSRA1 <- read.table(\"./TestiSeq-540MB/timeSRA.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4, repr.plot.height = 5)\n", "ggplot(timeSRA1, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"AWS Cloud from SRA\", x = \"\", y = \"\")-> p3\n", "p3" ] }, { "cell_type": "code", "execution_count": 191, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 270 } }, "output_type": "display_data" } ], "source": [ "timeGSAFTP1 <- read.table(\"./TestiSeq-540MB/timeGSAFTP.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4.5, repr.plot.height = 5)\n", "ggplot(timeGSAFTP1, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"FTP from GSA\", x = \"\", y = \"\")-> p4\n", "p4" ] }, { "cell_type": "code", "execution_count": 192, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 240 } }, "output_type": "display_data" } ], "source": [ "timeGSAHW1 <- read.table(\"./TestiSeq-540MB/timeGSAHW.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4, repr.plot.height = 5)\n", "ggplot(timeGSAHW1, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"HUAWEI Cloud from GSA\", x = \"\", y = \"\")-> p5\n", "p5" ] }, { "cell_type": "code", "execution_count": 193, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 1200 } }, "output_type": "display_data" } ], "source": [ "options(repr.plot.width = 20, repr.plot.height = 5)\n", "p1 + p3 + p4 + p5 + p2 + plot_layout(nrow = 1)" ] }, { "cell_type": "code", "execution_count": 177, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 270 } }, "output_type": "display_data" } ], "source": [ "timeENA2 <- read.table(\"./TestiSeq-2GB/timeENA.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4.5, repr.plot.height = 5)\n", "ggplot(timeENA2, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"FTP from ENA\", x = \"\", y = \"Time (s)\")-> p11\n", "p11" ] }, { "cell_type": "code", "execution_count": 178, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 270 } }, "output_type": "display_data" } ], "source": [ "timeFQ2 <- read.table(\"./TestiSeq-2GB/timeFQ.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4.5, repr.plot.height = 5)\n", "ggplot(timeFQ2, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"--fastq\" = \"#00afbb\", \"--fastq+gzip\" = \"#e7b800\", \"--gzip\" = \"#fc4e07\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"SRX1663467 (PE, 2 Gbp)\", x = \"\", y = \"\")-> p22\n", "p22" ] }, { "cell_type": "code", "execution_count": 179, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 240 } }, "output_type": "display_data" } ], "source": [ "timeSRA2 <- read.table(\"./TestiSeq-2GB/timeSRA.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4, repr.plot.height = 5)\n", "ggplot(timeSRA2, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"AWS Cloud from SRA\", x = \"\", y = \"\")-> p33\n", "p33" ] }, { "cell_type": "code", "execution_count": 180, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 270 } }, "output_type": "display_data" } ], "source": [ "timeGSAFTP2 <- read.table(\"./TestiSeq-2GB/timeGSAFTP.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4.5, repr.plot.height = 5)\n", "ggplot(timeGSAFTP2, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"FTP from GSA\", x = \"\", y = \"\")-> p44\n", "p44" ] }, { "cell_type": "code", "execution_count": 181, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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qjqEHXSu8H80uOQHIO6HHb9bqsWPH1Nuu2rVr9/zzzwd97vfff69Oql++fHngjLShQ4e+8847RJSampqRkaGejYErw91yyy3z5s0jovXr13sXjqnfgG7SpEnv3r1/++2333//fffu3b169Qpd3juFq0+fPiGKxcTEnDx5srIVVonIuytwvkRl/DqhsbGx6oMQC2aeOHGiipVXT20c5pXr0KGD+pFu//79mzdvrsoVDu86JL527Njx5JNPElHLli1vuummEE8fOXKk0Wh0OBy+/xdXflrVMQR0rfB+jN21a1fokuqfCwV8JvW+zz/44IMPP/xw0Of2799f/Uv6/PPP33zzTb1e77t3yJAhjDHOeWpq6pEjR6iSAdDrr78+LCzMZrOtX7/eu+BD4CIJdexvf/ubegHn6aefVtehrqzk4cOH1Y52dHR06Gb36NFj165dJSUlR48e7dChQ2CBX3/91VvSb1fQDzo5OTk5OTm+WxITExMSErKystQF1YIOQ9fqdQu6ssOsVc8884x64fSpp57asWOHulZGZRwOx5w5cwK3qxfxiGjTpk2hAzorK0udhON72fPKT6s6hiGOWjFgwAC1e7Jp06YQq4AfPXrUe0fDqFGjfHd5r1GMGzeusqd37ty5W7duRFRQUBD4yTEmJkY9A1NTU9UB6EGDBgWeFQaDQe3O/O9//1NHcpOTk6u3rH4NGjdunHpL2+bNm30HEP14PJ6HHnpITc+HH37Y++E9KO8SqUHP/MLCQnXEMzIy0ndurPrAOzXb1/vvvx+4Ub3ueuLEiYULFwbuXbt2rXet7VpSjcOsG/fdd5/657pnz54HHnhAvWM7KKfTOX78+KAfAlJSUtQxonnz5h06dCjEy33wwQfqg1tvvdW78cpPqzqGgK4VkiSpE91lWb7nnnsWLVrk9+eoznO45ZZbiouLiWj8+PG+yxLt2LFD/escMGBA4IVmX96LzurCAn7UkYq8vDx1jd3KVr5XM6WoqOj48eNU3+MbKkEQPv/8c3XG7rx580aNGhV4uh49evSGG25Qr2rGx8f/4x//CF3n6NGj1U82y5cvf+ONN3x35efnjx07Vh3WfPzxx71vY+piFES0evVq9XfotW3btsCF1ojoySefVK+nPfvss34f0nfs2DF58uRLHfqVqsZh1g29Xv/ZZ5+pn9I+/fTTAQMG+C5N7vXjjz/2799/1apVMTEx0dHRfnstFou6eJbT6RwyZMjq1asDP9zY7fb//ve/L7/8MhFFRkZ6b3SsqdOqLmGIo7ZMnTp1+/btq1atKi4ufuihh6ZPn96vX79WrVpJknTixIn9+/d771Hs2bOn3zdjeT+IBc5y9XPPPfeowbR27dqSkhK/aUlDhw5V19NRVXaXrXeyneqS44NVuZOQruxmQiJKTk7+8ssv77jjjpKSkjVr1qxdu7Zv3749e/aMjo7Oy8vbu3fvzz//rJYMCwtbs2ZNZUtPeEmStGjRoptuukmW5alTp3755ZdDhgxJSkrat2/f119/nZGRQUTXXHON3/Thm2+++YMPPigqKurXr9/TTz/dvXv37OzsrVu3fvjhh7Is63Q6v1lcPXv2fOqpp1599dXi4uIxY8YMGzbsuuuuM5vNO3fu/Prrr91u9+DBg3/88cdq/1ouqXqHWTc6duy4cePGkSNH5ubm7t69e/jw4YmJiYMHD05KSvJ4PAcOHPjjjz/UeXjNmzffsGHDyy+/HLhI4ZNPPvn7778vXrw4Ozt7zJgxCQkJHTp0aNu2bUJCQn5+/rlz57Zs2aL2e9RfhffjYE2dVnXqyu5zaZyufLEklcvlmjFjRojP3erlZnVdR99nqcMjkiTl5ORcsrXeiWUff/yx366SkhLvMGhSUlKISryDlYyx3NzcoGUu9yuv/G4mrN5XXu3fv793794hXkW92zjwiZUtlrRmzRrv/dN++vfvf/78eb/yRUVFld2dPHDgQPWOTb8jlWX5iSeeCPqUO++80zvEceV3Eo4dO7ayJ17uYaqd7sD7Pznnaq/faDSGaF5qauolj8XrxIkTvnfA+2GMPfDAA9nZ2Zxz9Sp34H+iLMtz584NnZtt2rTxXcWpBk+ruoQhjlqk0+lmz559+vTpuXPnDh8+PCkpyWQy6fX6+Pj4wYMHz5w589ixYwsXLvQ7kdavX6/ODRg2bJh3VkAIIabWWyyWvn37qo9DL1Lj7UR369atLi/uX1KXLl1+++23b7755pFHHuncuXN0dLQkSVFRUZ07d3744Ye//fbb3bt3X9ai1bfddlt6evqLL7547bXXRkVF6fX6pk2bjho1auXKldu3b/feI+NltVp379796quv9u/f3/e/49577123bl3QUQJBEN56663U1NQJEya0aNHCYDDExMQMGTJk2bJlX3zxReiB8ppyuYdZl1q1avXll1/u2rVr+vTpffr0SUhI0Ov1CQkJffr0eeGFF/bt27do0SJ1oHn06NFvvfWW3/1+RCQIwnPPPZeWlvb222+PHDmybdu2VqvVZDJ17Nhx2LBhkyZNWrVq1eHDh32vItbgaVWXGK/RNbkBGreCgoL09PQ2bdoEDo8C1DgENACARmGIAwBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQK36hSzm63O51OSZLq89sTAAB8oAdd7qmnnoqOjvb78icAgHqEgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAapaGAXrt27fLly+u7FQAAWqGVgHa5XBMnTpwzZ07Qvd9//z2r3KlTp/zKr1y5csiQIZGRkZGRkYMGDVq2bFntHwEAQA3TylocH374YWFhYUJCQtC96enpVaxHUZT777/fN5G3bdu2bdu29evXL1myRBC08oYEAHBJ9R/Q586d++ijj2bPnh2iTFpaGhGNGzdu6tSpgXsTExO9j+fPn6+m8+zZs8eNG8cYW7FixcyZM5cvX967d+9p06bVdPMBAGpLfQb0qlWrHnvssfPnz1+ypBrQKSkp/fr1C1HMbrfPmjWLiGbOnDljxgx144wZM9xu98svvzxr1qxJkyaZzeaaaDsAQK2rz4/8ZWVlJpOpVatWrVq1iomJCVFSDej27duHrnDdunXFxcWSJPn1lKdNm6bT6YqKitatW3flzQZoJEry+B9b+c9raO8mOptGnNd3g8Bfffagx48fP378ePXxggULJk+eHLQY5/z48eNE1KFDh9AV7tq1i4hSUlKioqJ8t6uXCn/44Ycff/zx7rvvroGmAzRouZnK/xbR/i1kK+IeNxMEMoZR807spgdY54H13Ti4oAFcNMvIyHA4HAaD4ezZs6NHj27RokVkZGRKSsrTTz+dl5fnWzIzM5OIunXrFlhJ165diejAgQN102YAzeJpu5V3nqAtK3hpIVkiWWwSj4xjnNOBVP7xdL7+A3SltaP+LxJekjq+4Xa7BwwY4N24ffv27du3L126dMmSJcOGDVM3qgEdHR0dWIk6hJKdne23/R//+IeiKESUnp4eGxtbO0cAoBk5p/knL/PMIyyhDdMZ1G2MiBvMZI2l7FP8f4uYNYYG3HF51WYe5efSSWeg5sksOvHS5aFqGkxAK4qSkpLy0ksv9ezZ02azbd269dlnnz179uz48eMPHjwYHx9PFQEddDhb3VhSUuK3fdOmTR6PR32M64fQ6CkbPuRnjrDENlSRzhcIAiW04pnHlO8XCddcTxFNqlIhzz9Hn8/lv28kZxkJAhktNHQCu/3JIPXD5WsAAd20adMpU6bEx8c/99xzOp2OiKKjo++9996hQ4cmJyfn5+fPnDnz/fffJyK1LxwCY8xvy9ChQ9Vn7dq1K/CGF4DGhOedpT+2kTm88vRkrElzyjnN925ig+65dI0eF73zBD+6k/QmHhbBuEL2Qr7ubXLa2PgXa7TtV6kGMAY9YsSIN998c8aMGWo6eyUmJv71r38lotTUVO8WIsrPzw+sRN2YlJTkt/3//u//5s6dO3fu3LZt2+bm5tZG+wG04tQfZCti4UHGAC/Qm8jt5Cf3V6nC3d/zE/uYOZKssUxvJIOZohKJGE/9kuecqZEmX+UaQECH0KtXLyI6evSo0+mkkAGtXk5s2rRp3TYQQEtK8rnHxSV96FJclKjg0ncnEBE/uZ+cZdxsuWhjmJUcpew0LsjXgIYd0Hq9nojCwsLUB2r+Hj58OLDkkSNHKFgPGuAqojcyQWT8UiOBXGEmS+gy5WQPMSK6aOSQMUacc4+7uq2EC7Qe0G63u0ePHsnJyVu2bAncu3fvXiLq3r27OrisTvPYsmVLaWmpbzG73b5p0yZvAYCrVJPmZDCTozRUGa5wThTfqkoVJrQhUUeusos2ltlIb2KJbavdTPDSekDrdLq4uLjDhw/PmjVLlmXfXfn5+fPnzyei22+/Xd0yfPhwq9XqdDoXLVrkW3Lx4sUOh8Nqtd5666111nIArWGturK4Frwwh0JMdC7MYZYo1rlqXZk+t1CTFrwwmztKiThxhUoLyWlnyQOoeXLNNPrqpvWAJqKXXnpJEIQtW7aMGjVq165dDofj/Pnzq1at6tevX3Z2ds+ePf/2t7+pJa1W6zPPPENEf//73z/99FOn0+lwOFauXKkusfTss89ardb6PBKA+iXpaci9zBRO+ZnBCzhsZCuk5AHUrk9V6mPh0WzSa0Lrbsxho5wzlJtJikw9b2IP/B8FzJiCamgA0+wGDBiwcOHCSZMmffPNN998843vrr59+y5fvlySLhzF9OnTf/311zVr1owdO9ZsNsuyrF4/HDNmzPPPP1/XTQfQGNbvNn7yD/rpS8o6QU2SSKy4YMg5FeXw0nyhTQ921zNVj1fWrjfN+Ip2beCZR5nBzFp2oa6DCev61pAGENBE9MADDwwcOPD111///vvvMzIyYmNju3fvPmzYsMcee0wURd+SoiiuXr36/fffX7hw4eHDh0VR7NGjx1/+8peHH344cBI0wFWHMeHPz/KIGL7tM37uBBFnop4UmRQPhUWyXsPYn5+nyLjLq9NgZgPG4OyqDYzjvnsiIpo8efKCBQsGDhzonVUN0IjxrBO0ZyM/sY8Ks8kUxpp1ouQBrPNADE1oSsPoQQNAzWIJrWn4IwhjjcNQEQCARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIa0hlCwAACAASURBVKABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjpPpuAABcBYpy+KEdPPsUc5VRWARreQ2160N6Y303S+sQ0ABQmzwuvmkp3/Y5FZ7nLgeRwBlnxnBq1p4Ne4R1HVzf7dM0BDQA1Bq3U1n2It+9gXHOoxKYwUxEjCvcVkTHdlH2GbrtCXb93fXdSu3CGDQA1Bblu/dp13pmCKOENmo6ExExgVmiWLOOZCvg37xLR3fWaxs1DT1oALgiPP132rycnzlIOiNr25MN+wtFJxIRzzpBO1YREygyLsjTmEDxrXnmEeW7D4T2fYihsxgEAhoAqo9vWMhXz+cl+SQKpHA68iv/ZR2bPJ916k9//MgLs1l8q0qfLIgsvAmdOcQzjrDmyXXX6IYD71oAUF2ZR/maN8heyGKbsZhmrElzio7nuWf40pfI7aTMY6TIJOlDVMDDrFRWQplH66zJDQsCGgCqie/5gUryKTKBhIokEXWCJZrOn6D03bw0/8L2SjBRx2UP2Ypqva0NEwIaAKqrKJtzhcSLRkq5Tk8eFxWcZ5ZoUpTQFXDZzUSJwiJqs5UNGAIaAKrLHMGIEZcv2ii7SZR4WCQltSdBJI8rRAXMVkymcErqULvtbLAQ0ABQTeyagWQOp6K8C5u4QiX5FBFH7XpRl8EsMp7yz1b6fEXmxTnUPJk161gHrW2IENAAUF3tr2UD7yRB4DlnqDiXinJ4zhmyRLE7/87MVpbQmg0YTYpChdlBnssVOn+CRScKtz6KOXaVwTQ7AKg+NmEWa9ND+d9HlJNBosg6Xcdum8I6XVe+d/ijPCeD//49yzpOUQmk3quiKNxeRAVZLCKOjXiM2l9bnwegbQhoALgCgkgpdwkpd5G9mCS9//pHOoMwcTZPas9Tv+AF55nHyYkx4mS0sHa92PBHsRZHaAhoAKgJZmvw7ZKeDfsLXXc7O/QzZZ8ih41ZIoVWXbCaXVUgoAGg1rGIOLrudiJi9d2ShgVj8wAAGqWhgF67du3y5cvruxUAAFqhlYB2uVwTJ06cM2dOiDIrV64cMmRIZGRkZGTkoEGDli1bduUlAQA0Sytj0B9++GFhYWFCQkLQvYqi3H///b45u23btm3btq1fv37JkiWCz/3+VS8JAKBx9R9Y586d+9e//vXUU0+FKDN//nw1c2fPnp2Wlpaenj579mwiWr58+euvv169kgAAWsfrz1dffRUfH+/bmE6dOgUWs9lsVquViGbOnOm7/Z///CcRRURE2Gy2yy0ZaNKkSUQ0cODAmjgyAIAaUJ896LKyMpPJ1KpVq1atWsXExFRWbN26dcXFxZIkTZs2zXf7tGnTdDpdUVHRunXrLrckAID21WdAjx8//kSFf/3rX5UV27VrFxGlpKRERUX5blcvABLRjz/+eLklAQC0r/7HoC8pMzOTiLp16xa4q2vXrkR04MCByy0JAKB9WpnFEYIau9HR0YG71IGR7Ozsyy3pNXfuXEVRiOjUqVNBnwgAUF8aTEAHHaRWN5aUlFxuSa/Vq1d7PB71scViqbFGAwBcsQYQ0MqlvjWHMXa5Jb06deokyzIRnT59Ws13AACNaABj0ImJiUSUn58fuEvdmJSUdLklvT7++OOlS5cuXbo0OTk5KyurRhsOAHBFGnZA5+XlEVHTpk0vtyQAgPY1gIBWU/Xw4cOBu44cOUI+/eKqlwQA0L4GENADBgwgoi1btpSWlvput9vtmzZt8ha4rJIAANrXAAJ6+PDhVqvV6XQuWrTId/vixYsdDofVar311lsvtyQAgPY1gIC2Wq3PPPMMEf3973//9NNPnU6nw+FYuXLl1KlTiejZZ59V19+4rJIAANrXAKbZEdH06dN//fXXNWvWjB071mw2y7LsdDqJaMyYMc8//3z1SgIAaFwD6EETkSiKq1evfu+996699lpRFPV6fb9+/T744IMvv/xSFMXqlQQA0DjGOa/vNmjC5MmTFyxYMHDgwNTU1PpuCwAAUUPpQQMAXIUQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaJRU3w0AgDrhcfPcDFZWQqZwik0iSV/fDYJLQ0ADNHYleXzrZ3zPRirM5rKHRInCY6nnjcLgsWSNre/GQSgIaIDGjJ/Yxz+ZQxmHOBNYmJXrjUyW6fxx+vaYsm8zu+cF1q5XDbyMrZCyjpPeRPGtSG+qgQqBiBDQAI0YzzrBl/2TnznM4lsxg5mImLojIpZcZfz0QVr2Ij0yjyW1r/5r2Iv5unf4tk/JYSfGyBrLRkxmQ8YTw/WtGoBfIkAjxTlf+ybLOEqJbclg9t+rN7GENnQujX/9BnFe3ZdQlAVT+bfvUmkhk/RMEOn8Kb58Fl/z1hW2HVQIaIDGiZ8+SEd/5ZYopjMEL6EzUHgMpe+m43uq+RJ7NtGB7UxvoqgEbrJws5WaNCO3k/9vERXlVL/pUAEBDdBIHf+dSgvIGh2qTHgM2Yt4+u5qvkT6bnLaeFjkRRstUWQvrnbogy8ENEAjVZjDFYVEXagyosgVhRdWs7fLnWVERIxdtFEQiSvcaa9eneALAQ3QSAkisUuXIsaYIFbvFVhcCxJEcjsv2ui0k85ATVpUr07whYCGS+CKnXN3fbcCLl90AhMlfnF6+pNdJAgUk1jNl+g9nKISecF57naVb3GUUlkJa92NtelezTrBB6bZQXDu4t3OnG/dhT8rcgkjQTS30UcNMsSPFqQIxVPkyvnWXfSLx3aciIvmlrqIvoYmIwRdTH23Gny0v5Ys0awoh2KbVVqmMJdZoqj9tdV7BRadyO7/l7L0n5SXwWWZGGOSjtr0YA/OxTS7GoGABn9ccdpPzXecX624cphgINFIiuzK3+Yu/Nlx/itD3K3O7G889nRSXEwwECOP7bAzb5Pj3Epzy78aYofXd/OhHEtozXvcxLeuZGWlZLIEKeG0U1kJ63MXa9ax+i/T8yahTXee+gVlHiODkbXqyvqPIb2x+hWCDwQ0+FFsx//PkfUlEySdpROvGAQTiLjH5in+zZX/I5Oskrk9k8K8z+Gy3WNPK01/mRSHIW50PbUc/LERkynzMB3bzSObMEuM75A0L8mnwmyhbXca+cSVvkxEEzbisaoMd8PlwscQuIgze50jex0TjYKxBff78xAkrri4YifuYdJFXSQmmsWwDtyVZzv5hlx2vE5bDJVj1ljhwf9Q10HMYecZh3j2acrPopwz/Mwh5ihl16SwB//DIuLqu5lQKfSggYh7nHkb3QVb3SUHXIW/kGIXjc0VT7EgWX1LKc6zXC4TRAuXSxVntmC46MoSI0EwtZHtaWVnV1jazqjbA4DKxTQVJr/Jd2+gPRvp1EGS3SRahM4DqPuNrM9wrGmncQjoq53sOG1Ln+0q+o17SogRySWcuKfsFHOeEw0JoqmN92qP4sojxkjQk+xSPAV+AU1ETNAx0egu2MYVBxMwCqkZko71Hcn6jiSPi+zFZLYilxsKDHFc1RRnZvGhvznztpBoliydBV0TYpIghglSGHFZdmR47EeIOBERd3PFSUx9Rxe4J/htCEy0KJ5ixZlVd8cAVSfpyRqLdG5AENBXM1564hVPyX7R1FK8MEOOEyMixkQTMVFxZsuOs0TEueJ9GmNEPj9eTCBSuOKo3YZDzVJkKjjPs06QrbC+mwIXwRDHVYErLibo6OIby9xFO90FPwv6aCZWLHUm6IkJXFHUW8uYYOCyTXFmioYExnSMCVzxEBHniiCVr/mrOLO4XMpEi2BIICJSHCSaBR2WgW8YeMF5Sv2c7/+RirJJUbikp+YdWO9bWe/hJIW8RxzqBAK6MfOUHnTkfOMu2slducR0krmdLvp6Y9xtTLQQkbtwh+IuEMMuzIFlYjgTDNxjJ6H85GRMz2WH4ikSdNFMF8kd5ziXiRjTla+PIzvPKM4swZCgBrTiKTJE9Bb0COiG4GAq//w/lHWcBJGMFhJFcpTyPVvoyG+0ZyONfQETPOodArpx4txtP/2uI+szxXmeCRITDJxzl+OEq2CrI+tLS9sXdNaesuMM58R87vhiTBAMibJ8nLibmI6ISJBIdnG5jHQk6OMVVy73lApSuKAPcuoqrmwmWQ1xoy6joYpDLjupyKWCZBWMrZigV1zZ7uJdijOLExMNibqI3uiP1wZ+9Fe+/CXKO8vjWjGf+0pYdBKV5Cm7/ye4nfSXV8kY7A6XwNrsxez8CS4ZWEJrqmx1U7h8COhGidtP/L+ycyuJSAxrz5hERFy2Ke4C7ily528utB0Ib/MPLtsZ87+9QDQkcVeB4s4jkRhTR0U4kUJEgi6CMYkzYrpIJvifhLIrl7vzddaeiuu8/fQ7gi5KtHTWWboQC74Qj+zIdJxb4cr/QXEVcO5hgsSkSCYYZVcuySVcKSNiTDAKuhhj/ChT0kPs4jl/cEXcDr7qNZ6byZLaM+HiEGBE1hgSRX5oB21ezm6ZFLombi+mb9/jW1Zyp42YwCNi2YjH2OCxuNW7RiCgGyFnznrH+VXEJNHYjIi44pbLjiuuXOIuzjkjrtjSiw5NlUwtiQKu5jFRCu/kKT2suAs4d5IgEuecu2XHGe4pEc0ddPoo2ZHhKT0s6GOYFEZcJiLuKeXOTCLRU3rIXfw7KQoJkiBZdeHdTC0e01l7+72Iq/AnW/ocjz2NmF7QWRkzklzqKvyZZAcTTaKlo2RqQURctsvOHNvpBe7iPZYOc0V1mBuu3N7NlHmURTclIXgCsLBIXpxPO1azIePJFF5pPVyhBdP43o1EjIwW4go/f5KWvUQl+ey2KbXU9qsK3uUaH+44t1xxF4rGJCLiitNTul9xZBKXmWgSJAuTwgWdlRSnp+yk7MpXHBn+FTCDFN5FNLcXpAjiMjGBkcikCGPCnRFd3ovqudrSZoYU3o1IUZzZXHaqsz44MbUXLIV1kMI7S+bWxERn/pbiw085stf6Vu8u2V969J8e+zHJ1EoytxF0sYIYLjtzGJcFnZlzt1J2issOIoGJFsncWjTEuwq229JmYVG9mqIc+407bGSOCFUoIoaK83jIdff53s38wDbSmyg6kczhFBbBYptxt4N//xHHN6rUBPSgGxuP7ZjHni7oo9XRCdl2lLsLmWismMJMRERMImKCLkJx5npsR3T6KCaEXVyNKBqTuD6KbOmG2JtMLf4q6iyyM0d2nONymT5mqDF+jMd2WHFmlaa/6CrYToyJ+hjBkOTzEjpB30TQR8u2NNuJV0VjM521JxERyfZT82XnScncvnyYm0hxnuOeQiYYiOkEScc9pXLZScnSuaKxVsHgdhXtcOZ8a7ysAW6oTF4mEy+xWjTTm3lhDis4H6pQ2m5y2ii2+UVPtESRrYgd30M9/1QTbb2qIaAbG8WZyWW7emFNceUq7gIm6C9KZxUTSHFKlk7ukgPu4n36yL5EFw0Wc9kul52UwrsZmj7kPP+5K38r95Rw7iYmMcmqj7re3OxBfcyN7OSrnIg4vyidLxBFczuP/UjZmfd017xHxNyFOz0lewVdnDediUh2ZRMp5VNHuEKMKa5sxR3vXb9U0MV4HOddOesR0DWF80uv5q9OiA9VidNOPMg3qjCucKcdyyddOQR0Y8MVNxFXzxnFnUvcQ2KQC/Fcnc5saCq6chR3saf0ENNFCVI4J5EpLtlTQLJTNCYxQ0LJgUdkd76oi2T6JoxJxD3kLiw794m76BdLm+e5O5dxYhXTooNgIpNi3CV7ZdsRMayTu/h3xV0kWS7M7eOKi8t2IonLZVxxEinEOZHiLt4n6mMFYzNBF0VETGd12w5yuYSJlQ+JQtWw2Gacy8QpREhzp53pjRQZH6qeuBZcFMntIt2FuxPVb1Rh+EaVmoCArk/u4t9kew2v/SaXneSyTXFmMNGiOHM4KRT0vj7FRYJBcZ5loplxRTAkKa5c2ZXPSWFM5IqHkeKxH1WKfmGKTEyU5WLmLhD0TZigJ0ESmMVTsr/44F8VVzYnYrJLcZ6ttE2KW3bnlWV8KEX0deVv5nKp773gXHGQUsYVtzpXpPy6CCfGXbLznOLOYboYUd+EyyVctpWdXVpLs+4EfZw+ekht1KxF7fqwHavJXkh+3/fqqziXYpuxtj1CVMN6D+ffvMtzM1l0gnoHOVe/USV5ALXuVuOtvgohoOuT/cyCsowPa7xazol8Pndypcy/ABFxUlxOxZ2r/sidGZx8elSciMp/kIkE7iHZqXhsiivrQiFGsiuLiASBuKfQXbwrdKtKTvxXbRLnpLh8Apq8PX6VUrHRRURcdnLZJjtOq/uLD17x4sWV0EcPib5qApp1G8Kbd6Jju8hoITFYCNgKGWNswJhLzIOOTmQT59CyFykvkxSZiJikpzbdhQfnUnW/5xB8IaAbIYGRoias32fYih8ZJ04Vj4mISCFinIhVFPF5ls99LBXBXVGbWooroT4pXyhckc5+ZVmwlrKAZvu968AV0RvZ6Kf4oufpXBrFtSS9zwgVJyrOoZJ81nUwGzL+kjWxXjezNj34ts/p7DEymKjFNSzlLnyjSk1BQNc/JhiEGp3hy7kiuAq44iCmqNnrTVbOiTFGjARBIs45VzhxIiYwPQmk9quJEzGRiBH3kCB4Q7l8Nh1xYhKruOqoKC7GKHChj4vb4+GkMEFHnAkC49xFxLw1cMVFTGH8ol40cWKCwLn6cmo+M4GJXNAJoomkMFZzM0QVVx6XS2uqtoaCtevFJrykfP4KnUsnJpDJQoLI3U4qK2GmcOp1Mxv7AhnMl66IiCLj2G219cnmKoeArn9cccplp2q+WjXxuJqqREScUXkvlhMpbm/PlDHOuYMqxjgYUyOVBCLO5SBVK27OKqYkq2uRynJl+ay+PiMiWSZGilLRZ2du375zRff9Qsu5Int3kNpI8pDsUeQycuf75TlUR/IANvUDSv2C9m/lBVnEFWYKZx37UZ9bWK+bgw99QN3C/0GjxdiFjFanQjE16zgxgUjxjW7vc4irScnKS1ZFyLkA/gMmFwY6FOKCen9LRWtZ+WVCxkgpf3u4kMLlnwIqQh3pXCNYRByNeJxumUQlecxZRpYoMuOWeg1BQDdOarby8u4w0cWjx97IJr9s5Rc2qoPF5Z3ZihFqn4I+vVv1PSAgNC+MGgdEOBOIK+VD4d6amXKhdoGImM/7ByPFt/5gdUL1CSIWrtMmBHT9Y4KxZsegibtlVy7jnHOZOGeMKvKZe/8VGHHOiIlMuDCDlStOb/IxxokUxln50MhFl/A4I4EJeuIKMUE0xDISFbmEPHZOMnHOGQlc4cQZE4hJLNgFfSYSV5yMBCJ1FIURE8pX2OGeiil3Fb1rhTNBZD73tnDuIRJEY9yVL1eguHKvwjFoaBAQ0PVPDOtgTX67Bit0F/1sO/UWk0tlj40Jhor15BTiHs4VRgpXXJyIBEnQRYnmdt4nymVnuDubBDMRccVOipMYK79g6FV+4U4iZhJ0FmPcbcbEceoexXnOXbxXcWVx2e4u2sU8+aK5bZCbGCsormwmhAn6SI/tqGhqfaEZ9uPcU6A2g4iIe4jJorkFk6IvtEIu5XKZudU0naXLFf66bCf+7cz59gorAagNCOj65ynZl7/z+pqt0zu8wGX/u1QU7wgGd8nO84rrvHeWR/mUZNnhHbtgxLmiCIz8p9JxWfE4yVNgO/OO/cw7wVpAxEgpyr10WxkRJ9l59kL9ajffe38NJ2LkKT0U+NTiA49hMBoaMaxm1wipQ89CQHJ57z4pH1+mCyMfVLHrwiU77/0o3jFoflF5xkgQKv8D8ps0XVlTqbxa5lN9+dXMigIhqkE4Q+OGHnR9Cm//b0ub6TVerSt3Y9HhaZxIKP+yQc4VN+ceQXEqanozIlIY5yTpGDNx7hZEs2hqwyQr507ZdlRx5RPJTDSx8uEON3GXorgYMRLDRH2MoIvixEhxMMniLvzZEHuztfO7Pk3gRX88KjvOiMZQCzIo7lwiwZo8XzQklp1b4cz+RnHnEBe4UsTdxcQkYqIghomm1kwMC3huHhEP7/AfKaxd0MovFxMqX04EoJ4goOuToI8lqvmVJZghXhDNXLETMa64uOJgXFYv3zHfSRWMEWdMMjEyKB47Oc5I4d0F0SyEd3Pm/ciYwDlx2c6Icc6ZIIm6CNHcStA3UV9Fke3c5VTXwGNimGhq49sGffQNZZkf+4yAB8Eddp21lz7qeiJmafuiMWGsK/c7V+GvntIDHvm4IIaLxqaiIZ4H66bzslOStY8h9iZ8CoRGDAHdCDFBL+ijFBdX3EXl69aVz8wozzJOvGLNDYUUNwk6QTJxT4nszBT1MXJZJtNZBaZn+lgul3HuEQSjIIULhljfPxh1agWr5JuNjHEjnbnfKs5MoZJONHfnM8FojB/jHaiQwjpKYR3NLYkrzuI/HnUVbme66KDpLJdlCLpIc9JEpDM0bvj7boREQxITIwUpjEhhJBNjjBR1ip13ejRVfAcK5x7FU8LlMiK3Yj8uu3J11m6GmJtJMIumVpIlWRfeVQprLxgS/N7OFU8pE81UyciAFN7DGH8nVzyyIzNwr+LOl13Z+sgUQ9zowL1MMIS1/YcU1t5jS1c8hb67OHd7yo4TeQzxYwxNhlf7VwTQIKAH3QhJ4dcIxiS37SAJOk6McTdXJz2XD26oM+eIcZmYXjK3U2QbV8q4XMYEvbn5k+akCc68jZ7SA9xdyHSVLUfJuTtfFz2Yewoqa4a5xRQulzqz13pKDwn6GCaaOQkklynuPCZIhugbLO1fYoKBK3bZns49xUwMF0ytBSmciKSwjuGd5tnSZ7tL/pAdZ7lgZEwkxUHEBX2CKXGsufmjuEYIjR4CulESpfBeztwNxCRBNBN3c3cxY7ziA5NAxInLJOiJODFRCutARIq7gBSHIao/E8MMscOcWZ+6CneKkpkxfeALyGWnBH2sqelE++nXK2sEEwyWtjN11j6Oc8s99uOKK4+IM8EghrU3xt9pSrhb8RTaTrzizPuBuws49zAmMV2EPmqIOel+wdhcCku2dvnIlbveVZDqKT3MFaeoj5ci+hjjbhXNHWrrNwegJQjoxkk0xAmCiXM3l8uYaCAmcK5UjBcrxBVioiBauFzGZVv5c9Svs9JFEBETjGFtZiiHp3lsaaKxKZMu9KO54lIcp0kwmhLH66MHhwhoIiISDE1GGJrc6rEdU5yZxBWmj5XCkpmgdxftLEl7WbYfZYKBSRGCYCHFoziz7ZmL3YXbLW3+oYu6nglGQ9zooMMgAFcDBHQjJduYLkoQDbIjS/HYiTiVD0Or923rBCmMmEiMvF+VrbiLJEuyaGym/ihZOod3es12fI675AB3nGWigZPAFCcnJhqampLuNyVNrHJrmBTWgcIudHs9tiOlaf+UbWmiqQ0TK9YOFknURQmK02NLK057KaLTa1I4vpUDrmoI6EZKshIx0dRa0DdRnNmK87ziKSZiTNAzQc8EQ3kxTuoCF+piFIbYYb5fHStZOlu7fOTM3eAu/MljO0aKQzQ0lay9DU1uFU0tuaekLOMDT+khQRfjKdlfmvaiucUTgr4qa+5w+6k3ZVuaaG7nuxKIigkGMaydbDtmO/V6RJf3/b7KFuCqgoBunHSWZEGycncR00WJZqtgaiOX7ldceUw0Xlgcg3uIiUyycNkhO07rwnuaEu/xq4cJRmPcqMDv0uaewsJ9E9xFuxgpTAzjnlL7mfeceZsiuy0XTZf4tlBPyX538a+kiwlM5/IXZTrBEOcp2esq3KmP7F+d4wdoFDDNrnGSrL0FczvZmVW+ijITpLCOTIrkslORy7j6vX+ygwkGUlyy44QU1tnSbpbvWHNoZRkfuYt+E6QIwdhc0DcRjEmCrolsO2I79doln+su2aO4CwV9dIgyoi5a8RR7SvZUsT0AjRICunFigjGs+SOCPka2Hy+f/SwYJWsXwdiMMYnkMsVdwBUPCToSjMb4OyI6vy1ZOle9fmfeRkYKky58oygTjSTo3AWbueIO8UQiUlw5jBTftUMDcRKIc8WZU/UmATQ+GOJotPQxN5nKTpZlfOgpPSwaEpgugjG9GNaW6ayK4wwjSWftZUz8s87aWwrrdLmVK+5cHpCwjOm4x0FyCQmheseM6ar4XS0khApxgEYPAd2YmZv9RTK1tJ35QLanc1dW+Sp0kkUX0dec9JAh7rZq3+sh6BOUspP+W7mLpBgmXeI7kwRjEgl6UsoquwuRyr9JVhQNSdVrHkDjgIBu5PQxf9JFXe8u2iXbDiueIiaGi2Ht9ZF9mVC1L2yuhCF2uKd4l+IuFCpuNeRyKeeyMXZ4iBX6y5sUeZ2gj5Wd2aKpZWVlFFe2oI/RReEKIVzVENCNHxOM+qiBFDWwBus0JT3gLtjmKkiVHScZM3DFzQRJb+0Z1nLqJZ8rGJIMTUaWZSxUPEWCFBFYgHtKuFxqjB8lmdvXYJsBGhwENFQHE83Wrosd51a4ctd77Gmisbku+gZzs4cDF24OKqz5JLn0oLtgu6J3CIY47+J6RKS4chRXri7iWnOLJ2ut+QANAwIaqokJelPSA6akhKY5RgAAIABJREFUB6rzXMka3vH/2dLnuApT3cUHBclETEfcw+UyQYowxN4c1namoAt1pRHgaoCAhvoh6GPDk19z5m125292F+/mso0Es87aXR99gyHmxhDL/ANcPRDQUI+YIWaoIWYoEZHiIMF4qfIAVxfcqALagHQGCICABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjENAAABqFgAYA0CgENACARiGgAQA0CgENAKBRCGgAAI1CQAMAaBQCGgBAoxDQAAAahYAGANAoBDQAgEYhoAEANAoBDQCgUQhoAACNQkADAGgUAhoAQKMQ0AAAGoWABgDQKAQ0AIBGIaABADQKAQ0AoFEIaAAAjUJAAwBoFAIaAECjpPpuAABcZWQP2QpJUcgSSZK+vlujaQhoAKgrZ9OUn76ig9vJXkScyBhGna5j141irbvVd8s0CgENALWPc751Jd+wkOedZTo9GczEGOWfpS0r+J6NNHgsG/YIiYgjf/iNAECt41tX8jVvksPGmrYlUXdhhyJT7hm+YSHJHnbbk/XXQI3CRUIAqF38XDrfsJCXlVLCxelMRIJIca2ION/2OR37tX7ap2EIaACoXfynVZR/jsW1JFZJidjmvDBX2fZ5nTarIUBAA0Bt4god3E6SjiRdpWWYwMwWSv+d7EV12LIGoGEE9Pfff88qd+rUKb/yK1euHDJkSGRkZGRk5KBBg5YtW1YvzQYAshWRrZD0pksU05vIaaeC83XSpgajYVwkTE9Pr2JJRVHuv/9+30Tetm3btm3b1q9fv2TJEkFoGG9IAA0L//lryjxGSe3ZdaMC9ilVqoERIyLOa7xtDVrDCOi0tDQiGjdu3NSpUwP3JiYmeh/Pnz9fTefZs2ePGzeOMbZixYqZM2cuX768d+/e06ZNq7M2A1w9+OYV/Oev2XWjggR0WCSZrVRaGLoG5iwjs5Ui42qriQ1TQwrolJSUfv36hShmt9tnzZpFRDNnzpwxY4a6ccaMGW63++WXX541a9akSZPMZnMdNBgAygkiSx6gnD3GZE+lM50VhezF1HkgWaLqtnFa1zA+8qsB3b59+9DF1q1bV1xcLEmSX0952rRpOp2uqKho3bp1tdhKAAiG9R/NIuMp+zRVNoCRf5asMWzgnXXarIagAQQ05/z48eNE1KFDh9Ald+3aRUQpKSlRURe9D6uXConoxx9/rLVmAkAlmnWkGyaQ3sDPnyBFvmgXVyg3g8sedt1o1nlgPbVPuxpAQGdkZDgcDoPBcPbs2dGjR7do0SIyMjIlJeXpp5/Oy8vzLZmZmUlE3boFua+/a9euRHTgwIG6aTMA+BL+9AAb9jALi6DMozz7FBXnUXEu5WbwjCMk6YXB49iovxKrbJr01asBjEGr4xtut3vAgAHejdu3b9++ffvSpUuXLFkybNgwdaMa0NHR0YGVxMTEEFF2drbf9iVLlnDOiSgrK8tqtdbOEQBc9QSRDX+UdezHU7+gIzvJaSfOKSxC6DqYBoxhnfojnYNqMAGtKEpKSspLL73Us2dPm822devWZ5999uzZs+PHjz948GB8fDxVBLSaxX7UjSUlJX7b33nnHY/Hoz6OjIys1QMBuNq17s5ad2eOUirMIUXmEU1YWER9t0nTGkBAN23adMqUKfHx8c8995xOpyOi6Ojoe++9d+jQocnJyfn5+TNnznz//feJSFEuMeOSBbxLN23aVJZlIsrNzfUmNQDUIqOFEixEld74DV4NIKBHjBgxYsSIwO2JiYl//etfZ8+enZqa6t2Snp6en58fWFjdmJSU5Lf9q6++Uh9Mnjz5p59+at26dU02HQDgCjSAi4Qh9OrVi4iOHj3qdDqp4o6VoAGtXk5s2rRp3TYQAKD6GnZA6/V6IgoLC1MfqPl7+PDhwJJHjhyhYD1oAADN0npAu93uHj16JCcnb9myJXDv3r17iah79+7q4LI6zWPLli2lpaW+xex2+6ZNm7wFAAAaBK0HtE6ni4uLO3z48KxZs9SreV75+fnz5///9u49PKrq7hf497fnlpkkkysJSQgQQrjLTREbLIhSAS9QXqpiT6VoUajtaTnlaNXyvFbRvnpsi2irYg+29tEXtCKCBVG8IO1B5CIQogSBEG653zMzmdvev/PHDsOQTAJKQnYmv8/z6BP2Xnv22pPkOytrr7X2swBmzZqlb5kxY4bT6fT5fH/961/DS7766qter9fpdN50002XreZCCHGJjB7QAH77298qirJt27bZs2fv3bvX6/VWVFSsX79+4sSJlZWV48aNW7JkiV7S6XQ+8MADAJYuXfrGG2/4fD6v17t27Vp9iaUHH3xQRjoLIXqQHjCKIz8/f/Xq1YsWLdq0adOmTZvCd1199dWvv/662XzuKh5++OHdu3dv3Lhx3rx5DodDVVX9/uGcOXMeeuihy111IYS4BD2gBQ1gwYIFhYWFP/vZz/Ly8ux2e3Z29i233PL888/v2LFj8ODB4SVNJtM777zz0ksvTZgwwWQyWa3WiRMn/uUvf1m3bp3JZOqu+gshxLfQA1rQury8vD/96U8XU5KIFi1atGjRoq6ukhBCdKme0YIWQoheSAJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMSgJaCCEMqsc81VuIqOV1ceXJ7q7EJWFPo/5/PvlVd9flUlH2MJBRWq4S0EJ0My78l7Z8TnfXojMUfKL9z/HdXYlLZVpTCYezu2vRwigfFEIIIVqRFrQQRqEs34JYo7Tdep2D27W/PtTdlWhNAloIo6Cc0YhP7u5a9FJcdbq7qxCBdHEIIYRBSUALIYRBSUALIYRBSR+0EL0INzeheD9qy8CMxDTKHYfYxG6oR2M1nzpEnka2OSgjF336d0MdegIJaCF6B59H++R17FiPxmr4m5kBq43ik2nirbh+PsUmXKZqVJ3kD//GBz+Fu5HVACtmiomlQaMxbQENvvIy1aHnkIAWohdw1Wp/X4avdjAzJfRBYjoR2OdFQxW/9xc6up/nL6eUzK6uBRft5LVPovwYYmI5NpEsVlKD8DRpX3xEJYWYeR9NubOr69CzSB+0ENFOU7W1T+Lgdo5LooxcOJwwW2CykCMe6TmcmKYVfYY1jyPg7dJa8Jkj/OpvuHg/TCaoQfK6oKmIiUVyX8rO48Ya/ucL/MUHXVqHHkcCWogox/s/wpf/RmwSxSW13UsOJyWl89e7eOe7XViH2nJecTcf2Q2vm6tOc0UJn/mai/fjzNcI+kEm6jsITTX83io0N3VdNXocCWghot3e99nTiMTUdgvEJcHv492bwNwlFSg/zs/dyyUHoZjYZoc9DvY4tsZAU7mmlEsOsq8ZisLJWag4zoX/6pI69EwS0EJEtYCXTxwkexxAHRWLTUBFCeorO78CPo/234/x8QNQTLA5SGnJHFIUWGPYFgNPI535GppK9nj4vHy8oPPr0GNJQAsR1Vz1CPjIbLtAMYsVwQBcdZ1+ft65AcUHyB4PcNtlPEkxwWpjdz3qKkBgMBqrO70OPZcEtBDRjK12KCbWghcop6owmRDj6OzTM3+xlYM+xLTfhDdZiDVuqARABLJ1dh16MgloIaIZOZxI6Ydm1wXKNTchPhlJfTv59K5aVBwnRwJsMfrgjYil2GSGr5n9zYCCPtmdXIeeTAJaiKhGRKOvY1Lg87RbJuDjYICuuA5ma+eenN2NUIMwWxCbAEsMgr7I5RQFrKG2As4UDP9O59ahR5OAFiLK0aT/oKwhXHkCwUCE3aqKihLqOwjfvb3zT22Pg8mEYBCKmVIyQQr8/gjFmMEaBZoxZioNGNXp1ei5JKCFiHaxiXTHw5Q2EGXH2FULnB1Lx2B3A0q/RnIGzV3aJTMJnalIzUZzIwAkZ1JiGrQgfM3njedjsN8HjZF3tTL7l51fh55MpnoLEf1o8JVY+Ayv+wOdKOS6CiIFBNY02GKRO16ZswR5E7rmxERjb+DjBdzsInscMoeQ2cp15fB69L1gJlYZoGETlXt/jzh5XsF5JKCF6BVowCj6xSo+uB1H9qDmNJiV5EwMHk9jpsIS04Xnzf8PfPEBju1H3xxYbOg7iBLT0FDNnkYE/UQKB/zIuUL59RrjPKrVOCSgheg1zFYaN43GTbusJ3U4ad4yfvURnD4MhxNQWPUTQUlI4YCfm2opMY0HjOJPXqPs4Rg6ETLMLowEtBCii/UfQT96nFf9gksOIuAHM4OZGQCZrayYaO8W3sMcE0sZubjxHhp/Y3fX2CgkoIXofZi5cDsKt/OpQ3DVwZlKOWMwZuq3WZHZ34yje/nMEfa6yeFEv6GUO671cL36SryzEg01lJjOihmsobEGPg9YYwCqyilZFBPLngYuKaD/fpyrTinTf9JJl9qzSUAL0Tuwxl/+G4c+0059RUf2sLtRAeBwwmLjqjN8ZC/t3IDxN+L7S8gef3EvyNizWdv6KleWkNfFDCYiRzxn5tH0hXTFlJZialBbsxyHdyI5Aw4nAag6yWoAFhusNtY0am7Cma+RcwXFJsKRgIrj+PBvyBiE0VO76q3oOSSghYh+XH2a//EUjuyBqxYNtRzwghTNbAZrlJpN6QOhqagr1/71ptJYjR/9lk8VoaYUahAJfShnNJxnV8IrPcqHdnDVKfJ6+EwRnyoCa0jKQHImKQo0FZ4GPrIHlScw4166/i4AvG8rDn8OZ2rLPcCAl2tKwQybDS1LJtnQ3ITaMvTpDyKk5+B0kfb+amXEpHMt8ROF/OW/uPQYPPVISKN+wzDmekrt1x3v5WUlAS1EtKs+zS//L5z4EgmpMFnAGhzxMJmhafA3c3kxqX6kDURKFjVUaZ9vpMLtMFvZ10zMsNg4PgnjpyvXztW2rcUX76OxmlhDs4td9SBQbBK0IPQ16hQT4pIpNpHLj+O9l5Haj0ZP5X0forkJKWfDtKkWAR+sYeNGTGYO+FBfRanZIAIRJ6ZR2TE+XkB5V8HTqG14Fvs+5MZqMJNiYn1q4sev8eQ7lO8tgGLqhrf0ciHuohVge5rFixevWrVq0qRJ//73v7u7LqJ34T3vacvnAEBqNpQumDvWVA2/lxUzAArqE/nC1i1iDUQwWaAoCAagqQDIYmFSmEEAWAUzGEwgEEwmAAgGoGn6QGYQwWQ+LygZ0DsxnCloqGRVJdPZtqAahBpsvaydfiazFUQtx6sqYhNgc7QEOhFIObsXYEALAoSYWHTW0xR9HjRUATCtqTTOgD9pQQthGNWnuuZ1GQCpQXA7K8oxn7dKBoP9flBYWQb0QwlQA6Rv0P9jgBncegI3AewLosrdcqAaOPdSBLDaujCDAt5zrUUGGquZic6dOxK3H676jle67tFkqrcQUY3PJS2H/nfhgyKhsJcIZT2d3X7+Md/oD3NuewgBICJuef0OjqRo7gOQgBYiqhG0s92YRO0H5/kJS61SLzwlWzKz/QLn7yB8w7SG3iRvc4oOD/iGJ+gxJKCFiGYEJjp/Q/tFw74I76QOL8MANL3PuG0qctt/MjOdd862HxJ8/sfD2U8TMOiCd8iit3NDJ33QQnS3hD5dN3eOT36JplrExAJA0I9mNwgR7tGpQSgKFBM0DQR2OCl008/dCC1AINY0AFAUAgCtpdlsUkAK1CBYg9mMsw8OJzXIapD6DUVsIk5+CXeDZrW3PJDQ74XPAxAUpeV+oGJmR7y+l73NitmMzDxuqER9FeyxF7hCr4vScjpzmX+TgVLRQFURoneivKvo0Y1d9OLalr9gw0qkD4TZCk3l4wVw18Mee17j09cMvxcWG9tiyOtBQprSf2Rov1Z8QKkrZzAUBURwOEEmuBvO3eizWAEg6IfdSUOuBgAGzhym7GHK0r8jJhZlx7RXHqSThyg+CfGpUBSUHuG6cqgBMCEuAf2GKLGJ7GlAXbmSnkPTF9K0H2tv/Bd//HfKHt7B1XHQR1Wn6M5lNGluF7x53U+6OISIZsr4G5HUl6tOA4BiQvpAWGLI6wFrLSU0DZoGexw0lbwe2GKRNvC8HueAl1k7O8qNoJigEKw2gFqG2fl90J95qLc9Gag5BUc83TC/peWekassWqlcNQMAlx3lM0WsqbDZYbLCYoPVTvWVOHOYml2UM4b+x29p2o8B0ICRZI2B193R1bka4EiI4jX+pQUtRFRLG4Apd9Lml1B9CinZFJeEjFwuK4bXw4pZMSma36fYHKxHYUwssvIorFeBPfUtw5D1QLfYWgYjW+3QVAT8AMAqa0wMkAKvGzWliHHQtbfRxFnnqpHajxb+gYr389e7uLacNBWJaZSVx2oQ5cfh88DhRPZwGno1rHb9CBr1XU4bwGeOUNYQUITOZg4GuKmGxn0PWUO67O3rZhLQQkQ55XsLtKZa7FiPM0X6lGvKHorKk3DVciBIFhsS+lBCKuKSNU+Dcv5qn9RUx5oKqx0+D0g5NwOQgJg4KM3we6Gq+q1Ibm7i+krEJ1H6QJR8qT35A8Ql0oBRNPo65I4DEXLHUe64VrcMI2io4sOfo/o0EtLp5CGcLkLWMCjnl1UDKDtGfforNy2OGN/RQQJaiGinmJS5/5tzRvMnr6G8GLVl0FTEJ1GfbOo/EldMoYwcZA1BXQVWP4AzX5PNwUQIBkAK11eSprJydppfwAfYoJha5pYoJpjMsNgQ8LEa4NR+SvZQVJTw17thMrNihhrgos9ox9t0kcsw+TzaB69g50Y0VsHvZYB8Hva60VBN6QM5MY1MJgQDcNXDXU9pA+gHD6L/iMvyJnYPCWghegEiunI6jZvGpw6h8iQCPsQn08BRiE85V8aRQLf+XPu/S7msWJ/4RwA0VWNQjIUGDIca5JpSBLz6dHB9gjglpCE1i48XIBikgBclhbDHU9bQs4M9AFZRW87b36SGStzzf0I9GBF4GrVXH+HCfxEpSEqHzUEABwNUeZJrznBlCbkbYLHCbIHdiatmKjMXod/QLnzTDEACWoheQzHRgFFo55YaF33G6/+IYIDS+oM1BLzMTO5G+Nxg5rpy6j+CktLhboDPA02D2QpHPOzx8LpBCghorOGc0XR2pF0LMiEli5tqcXA7v79aufXnkevGrK37PRd8ioSU8CcTktmCzFxK78cnihCfRNffhYxcZA+n9IGd9a4YmQS0EAJcfZrX/g6VJyhjMMwWfSMBqD6NsqMwW+Gq59Ij1H/kuaVHQ9z1MJkAhqK0TuezKD6Z3Q20cyOuvQ1J6RFKHNmNAx+RPS7yc2NNNuo/nMuK4apXrpr57a+zp5FhdkII4OPXUF7M6TmhdNaxMxXmGKgBMlvQVIfGmtYHBnzc3ESWGABs7ujhs5TcFw2VfHhnxL1csI2baiNnt85spRgHCj+Fu/7iLikaSEAL0dtxcxMf3AaLjSy2VrvIGkOpWdCnEQYD3HR+QAf9XF5MfXPZHg999f0OWO3s96HqZOQ6HC8gs7X1FMdWZRwJ8DSi9MhFXFOUkIAWorej8uNwN3B7Cyun9qPkLBBBDaKhqmXNaH8zakq57BhlDKZ5j0AxXdS6GIoCvy/yrqbaC8+xNluhBtjVcOETRQvpgxai12tuhBokkyXyXiJk5JI9DqVHWA1yRQlYI7MVsU4aPYtm3EcZuWSxMhgdr22kqQTAmRJ5b2wCas50XE1SA6yYyXFxj0yMChLQQvR69niYzKwG2m0DE5CUDq8bcUnKrT9jv5fik2nASKQNaClw9c2oK0fHw5xddXAkUM7oyHv7j8TxAy3PZ2mPp5EcTmTkXviKooUEtBC9HfcdhNgEaqhCO2MwAICZAz5l9BS69gdtE1S5/WGuOMlF/w+q2vJMrFbUIDdU0ajJGDQ24ssrY67Tdm+ihipOTItcgWAAzS6Mn05th5FEL+mDFqK3I3s8Rk2B39uytkZEDVUUl4ArpkTea7bi5sVIyULZUQ4GWu8NBrj0KKX2U265v91nvA6fRCMnaa469jRG2KuqXF6MtP7KtB9fzBVFDQloIQSUG+5C30FcXnzu4YHhPI1w1WF4PrUX0AANmUBzH0RqPyo7ipoz3OzSR+Bx9WkuO0pp/ZXbH0bOmHZrQES3PURDr6a6clSf5uDZjwrWuKkWpYcpuS/NWYrMwZd4pT2LdHEIIYDUfnTbr7H2CT5zVEnsw3FJLU3dgB8NFfA1Y+jVyu0PdzwMjq6cTmkDtA//isO7yFXbcuPREY9x31O+d/eFs9WZqty3gv/5An/xAVWeYFUFgRjkiMewfLrlfsq7qvMuuGeQgBZCAACNvBYLf0/v/omLC7j0KDEzQCYznMmUP5du+Skc7YzDC5c9TLn7adRV8OkiNLvgiKd+w9Bet3JbsYl0xyOYfAeKdqLqFNQAxScjZwwNvRpm66VcXQ8lAS2EaEEDRuH+P+PoF1RSwHWVZLFRSiaGXfONF75ISqcO5gResBoZucjIjdolRL8JCWghRBjFREMmYMgEyUcjkJuEQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhUBLQQghhULKa3XlOnz799NNPd3cthBC9RWJi4qJFi9rdzYKZmVesWDFs2LDL+H2JEjExMU6n0+FwdHdFRHcym81Op9PpdFIHz+QWkQwaNKiDXJIWdIslS5bEx8c/8MAD3V2RHqZPnz7x8fHNzc1lZWXdXRfRbRwOR9++fQGUlJRomtbd1elJEhI6ek6N/lwbIb6l5cuXb9iwYfz48S+//HJ310V0m+3bt//qV78C8PHHHzudzu6uTvSQm4RCCGFQEtBCCGFQ0sUhLslXX31VWlqalJR05ZVXdnddRLepqqo6cOAAgClTplgslu6uTvSQgBZCCIOSLg4hhDAoCWghhDAoCeje6OTJk4qiEBERffDBBxHL3HrrrURktVoLCgoiFnC73Tk5OUQ0ZMgQj8ejb5w5cyZdhMOHD4dex263E9GqVas6/TJFRG+99Zb+XXjnnXfa7t24caO+9z//8z/b7q2urtb3yoyBy0MCujdau3Zt6N7D2rVrI5ZZtWpVYmJiIBBYuHBhxKkHy5YtKykpURTlb3/7m8wk7EGuu+46fb7fjh072u798MMP9S8ifnJ/9tln+hdTpkzpsgpi6dKld955p37XsZeTgO6N1qxZAyApKQnA22+/7fP52pbJzMxcuXIlgN27dz/33HOt9u7atUvfuHTp0vz8/FZ7Z8+eXd6hwYMHd8V1iYuRmpo6cuRItBPQW7du1b/YvXt3XV1dq716QCuKcu2113ZdDTdv3rx27dry8vKuO0VPIQHd6xw6dGj//v0AXnjhBQANDQ3vv/9+xJLz58+/+eabASxbtuzEiROh7YFA4Cc/+YmmaSNGjFi+fHnbA+12e3qHTCZTl1ybuDhTp04FsGfPHr/fH779zJkzRUVFJpMpLS1N07SPPvqo1YE7d+4EMHbs2MTExMtW295MArrX0ZvPgwcPnjdv3sSJE9F+LweAl19+OTEx0e12L168OLTxqaeeKiwsNJvNr776qs1muwx1Fp3ruuuuA+Dz+b744ovw7XrzecKECfoHc6tPblVVd+/ejS7u3xDhJKB7HT2g77rrLgB33HEHgI0bN4bu8rWSmZm5YsUKAFu2bHn99dcBHDp06MknnwTw0EMPXXXVVZet2qITTZkyJWI3tN4BPW3atOnTp6NNN/TBgwddLhfO5ntIaWnp4sWLs7Oz7Xb78OHDn3nmGU3T9JvMn376aXhJVVVXrVp17bXXJiUlJSQkjB8//sknn6ytrQ0VuPPOO4moqKgIwIwZM4ioty//e1nW8hRGsWvXLv37fvToUWY+deqU/ov6xhtvdHDUzJkzAaSmplZUVOg9zmPGjPH7/W1LzpgxA8C8efMuvkoxMTEAXnrppW96LeJSjB49GsDcuXPDN+or0m3btq26ulpRFABFRUWhvXqfGBHV1taGNhYUFKSkpOg/VKG1RmfNmqW3srdt2xYqWVdXN2nSpFDyhApnZWUdPHhQL/PEE09MmzZNv+c8duzYadOmrVmzpovfCUOTgO5dlixZAiA/Pz+0Rf+dmTNnTgdHnTp1Sl8UMScnB4DFYtm/f3/EkhLQPcUvfvELAH379g1t0cdTOhwOn8/HzPqfR88991yowPz58/XP5tAWTdNGjRoFYNy4cTt27Ghubj5w4MD3v//9UAqHB/Q999wDICkp6ZVXXqmoqGhoaPjnP/+p/0RlZWW5XK5QSX1l9i1btnTtW9ATSED3IqqqZmZmAnjxxRdDG/WhGjabrb6+voNjV69eHfqte+KJJ9orpgd0x6655prwQySgu8X69ev1b8fx48f1LX/84x8BzJw5U//nI488AuCWW24JHZKXlwfgl7/8ZWjLm2++CSA9Pb2hoSG0UVXV7373u60CurCw0GQymUymPXv2hFejsrJSH00U/kMlAR0ifdC9yLZt20pLS61W6+233x7aeNtttymK4vP5NmzY0MGxM2bMsFqt+tezZs3q2oqKrjd58mS9EyPUDa3fIZw2bZr+zxtvvBHAJ598oo/0qK6uPnLkCM6/Q6gvAr5o0aLwNaAVRdHXhg73wgsvqKr6wx/+sNWiWn369NHb8u+9917nXmB0kIDuRfTbgzfddFNycnJoY0ZGht7e6WAsB4B77703NCRRegmTAAAGV0lEQVRr4cKFqqp2ULjjcdCbNm3qhIsRlyY5OVnvhtYD2u/3b9++HWEBnZ+fHxcX53a79QL6ADsimjx5cuhF9BmhbcdEt92i3/eLOPxDj+x9+/Z1ynVFGQno3sLv969btw7Ahg0bLOfTfzO3bt1aXV0d8djVq1dv3rwZwPLlyxVF2bVrV8f31jseBx3+8SC6kT4YI5S/brc7LS3tiiuu0PdaLBZ9uLQ+lkMP6FGjRoVuCfp8vtOnTwPo169fq1dOTU3Ve65C9Nb3woUL28771/8g83g8HX/q907yTMLeYsuWLfrEMGYOBoNtCwSDwbfffvu+++5rtf3kyZP6X6wLFixYtmxZdXX1ypUrH3vssVtvvTX0yyx6oqlTpz777LMFBQUul0vv37jhhhvCn/p64403vvvuux988MHvfvc7fQ5heBNYv5fY3ou3movU1NQE4Morr9R7nCPyer2xsbGXcEHRqLs7wcVlog95vv766yPu1f8mnTp1aqvtmqbpf/Omp6fX1NQwc1NT04ABAwCMGzeu7Ug7GcXRg9TV1end0B999NE111wD4JVXXgkvoPdgEFFZWVlcXByAt956K7xAnz59AGzdurXVK9fU1OjxErpJqI8JWb9+/cVUTG4ShkgXR6/gcrneffddAHPnzo1YYM6cOQA+/fTTVg/nfvHFF/XJC88//7zeNREXF/fSSy8B2Ldv3xNPPNHVNRddJzExccyYMQA2b96sTxG84YYbwgsMGTJkwIABzLxixQp9ikp4BzQAfVxH2zU9QmsqtSq5Z8+ettX4/PPPn3766X/84x+XeDnRqbs/IcTl8NprrwFQFKW0tDRigeLiYv3nYeXKlaGNx44d0//knD17dqvyP/rRjwCYzea9e/eGb5cWdM+id17preMhQ4a0LaB3eekFRowY0WqvPnUlMzMzfBSzpmmhqYahFrQ+RigpKSl85gszezye4cOHt/rB01vQ7733XqddZ48lLeheQR+/kZ+fn5GREbFATk7O2LFjETaWQ9O0u+++2+12O53OP//5z63Kr1ixIjU1NRgMzp8/v+1ieD6fr6ZDenMsnMvlaq+w2+2+9HdARKQnqf7tCI3fCKcPtos4wxvAfffdN2rUqNLS0qlTp+7duzcQCBQVFd1+++07duzQF2kJH5o5derUurq6/Pz81157rbS0VF/ZY/r06YcOHcrKytI/8sPpAz96u+7+hBBdrrq6Wn+O54oVKzoo9thjj+k/EvrMBX3aAoBVq1ZFLK8vzQHg17/+dWjjxUxUAbBgwYLQIa1u97f185//vHPeCNFGfX293g0N4O23325boK6uLnS7L+J6AAUFBQMHDtQL6C9FRKtXr9Y7xPQVBXTFxcW5ubmhb2voZZOTk/ft2xf+mvpKIAAyMjKeffbZTr/qHkQCOvrpXcYATpw40UGxgwcP6sWeeuqpw4cP2+12AJMnT9Y0rb1D9DU6TCbTZ599pm+RgO5x9GHIiqLU1dVFLKDfPwRQVlYWsUB1dfX9998/YsQIh8NxzTXXbNq0KRAI6KNBwmcYMnNTU9NTTz118803Z2VlJSQkTJgw4Te/+U3b8xYWFn7nO9+JiYlJSUlpr33QS8hTvYUQ35LX61VV1Wq16n+ihZSUlOTk5NhsNq/X2111iw7SBy2E+JYeffTRuLi4u+++u9V2/aa0vtq4uBQS0EKIb2n27NkA3nzzzfCFXNatW/fMM88A+OlPf9ptNYsW0sUhhPj2Hn300ccffxxAVlZWamrq8ePHGxsbAdxzzz3hKyCKb0cCWghxST7++OM//OEPX375ZVVVVV5e3siRI2+77bbwVaHFtyYBLYQQBiV90EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVAS0EIIYVD/HyYBI/aEvyurAAAAAElFTkSuQmCC", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 240 } }, "output_type": "display_data" } ], "source": [ "timeGSAHW2 <- read.table(\"./TestiSeq-2GB/timeGSAHW.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 4, repr.plot.height = 5)\n", "ggplot(timeGSAHW2, aes(x = V1, y = V2, color = V1)) +\n", " geom_boxplot(alpha = 0.8) +\n", " geom_jitter(position = position_jitter(width = 0.2), alpha = 0.7, size = 3) +\n", " scale_color_manual(values = c(\"Wget\" = \"#fc4e07\", \"Aspera\" = \"#00afbb\", \"AXEL\" = \"#e7b800\")) +\n", " theme_chy() + theme(legend.position = \"\") +\n", " theme(axis.text = element_text(size = 15, colour = \"black\"))+\n", " labs(title = \"HUAWEI Cloud from GSA\", x = \"\", y = \"\")-> p55\n", "p55" ] }, { "cell_type": "code", "execution_count": 182, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 300, "width": 1200 } }, "output_type": "display_data" } ], "source": [ "options(repr.plot.width = 20, repr.plot.height = 5)\n", "p11 + p33 + p44 + p55 + p22 + plot_layout(nrow = 1)" ] }, { "cell_type": "code", "execution_count": 184, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n", "Warning message:\n", "“\u001b[1m\u001b[22mThe following aesthetics were dropped during statistical transformation: \u001b[32mfill\u001b[39m\n", "\u001b[36mℹ\u001b[39m This can happen when ggplot fails to infer the correct grouping structure in\n", " the data.\n", "\u001b[36mℹ\u001b[39m Did you forget to specify a `group` aesthetic or to convert a numerical\n", " variable into a factor?”\n" ] }, { "data": { "image/png": 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", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 480, "width": 300 } }, "output_type": "display_data" } ], "source": [ "timefasterqDump <- read.table(\"./TestFasterqDump/testFasterqDump.log\", header = F, sep = \"\\t\")\n", "options(repr.plot.width = 5, repr.plot.height = 8)\n", "ggplot(timefasterqDump, aes(x = V1, y = V3, fill = V2)) +\n", " geom_bar(stat = \"identity\", position = \"stack\", alpha = 0.8) +\n", " geom_smooth(aes(group = 1), method = \"loess\", se = FALSE, color = \"black\",linetype=2) +\n", " labs(x = \"Threads\", y = \"Time (s)\", fill = \"\") +\n", " scale_fill_manual(values = c(\"Convert SRA to FASTQ\" = \"#00afbb\", \"Compress FASTQ\" = \"#fc4e07\")) +\n", " theme_chy() + \n", " scale_x_continuous(limits = c(1,42), breaks = seq(2,42,4),expand = c(0,0))+\n", " scale_y_continuous(limits = c(0,900), breaks = seq(0,900,300),expand = c(0,0))+\n", " theme(axis.text = element_text(size = 15, colour = \"black\"), legend.position = c(0.7, 0.7))+\n", " coord_flip() -> p6\n", "p6" ] }, { "cell_type": "code", "execution_count": 195, "metadata": { "vscode": { "languageId": "r" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n", "Warning message:\n", "“\u001b[1m\u001b[22mThe following aesthetics were dropped during statistical transformation: \u001b[32mfill\u001b[39m\n", "\u001b[36mℹ\u001b[39m This can happen when ggplot fails to infer the correct grouping structure in\n", " the data.\n", "\u001b[36mℹ\u001b[39m Did you forget to specify a `group` aesthetic or to convert a numerical\n", " variable into a factor?”\n", "\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n", "Warning message:\n", "“\u001b[1m\u001b[22mThe following aesthetics were dropped during statistical transformation: \u001b[32mfill\u001b[39m\n", "\u001b[36mℹ\u001b[39m This can happen when ggplot fails to infer the correct grouping structure in\n", " the data.\n", "\u001b[36mℹ\u001b[39m Did you forget to specify a `group` aesthetic or to convert a numerical\n", " variable into a factor?”\n" ] }, { "data": { "text/html": [ "png: 2" ], "text/latex": [ "\\textbf{png:} 2" ], "text/markdown": [ "**png:** 2" ], "text/plain": [ "png \n", " 2 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 480, "width": 1500 } }, "output_type": "display_data" } ], "source": [ "options(repr.plot.width = 25, repr.plot.height = 8)\n", "(p1 + p4 + p3 + p5 + p2 + plot_layout(nrow = 1)) / (p11 + p44 + p33 + p55 + p22 + plot_layout(nrow = 1)) -> p7\n", "(p7 | p6) + plot_layout(widths = c(5, 1)) -> p8\n", "p8\n", "pdf(\"./Figure2D.pdf\", width = 25, height = 8)\n", "p8\n", "dev.off()" ] } ], "metadata": { "kernelspec": { "display_name": "R", "language": "R", "name": "ir" }, "language_info": { "codemirror_mode": "r", "file_extension": ".r", "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", "version": "4.0.0" } }, "nbformat": 4, "nbformat_minor": 2 } ================================================ FILE: iSeq.yml ================================================ channels: - conda-forge - bioconda dependencies: - pigz - wget - axel - aspera-cli ==4.14.0 - sra-tools >=2.11.0