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Repository: scverse/scanpy-tutorials
Branch: main
Commit: d5b3ce8c40a8
Files: 37
Total size: 66.6 MB

Directory structure:
gitextract_wtn3z40k/

├── .gitignore
├── .pre-commit-config.yaml
├── .readthedocs.yml
├── .vscode/
│   ├── launch.json
│   └── settings.json
├── LICENSE
├── Makefile
├── README.rst
├── _static/
│   └── css/
│       └── warning.css
├── basic-scrna-tutorial.ipynb
├── biome.jsonc
├── conf.py
├── dask.ipynb
├── how-to/
│   ├── cell-cycle.ipynb
│   ├── knn-transformers.ipynb
│   └── plotting-with-marsilea.ipynb
├── index.rst
├── integrating-data-using-ingest.ipynb
├── paga-paul15.ipynb
├── pbmc3k.ipynb
├── plotting/
│   ├── advanced.ipynb
│   └── core.ipynb
├── pyproject.toml
├── scanpy_workshop/
│   ├── README.md
│   ├── day1_01.ipynb
│   ├── day1_01_GColab.ipynb
│   ├── day1_01_GColabs_solutions.ipynb
│   ├── day1_01_solutions.ipynb
│   ├── day2_01_DE_Colabs.ipynb
│   ├── day2_01_DifferentialExpression.ipynb
│   ├── day2_02_GSEA_Colabs.ipynb
│   ├── day2_02_GeneSetEnrichmentAnalysis.ipynb
│   └── day2_03_RNAvelocity.ipynb
├── spatial/
│   ├── basic-analysis.ipynb
│   └── integration-scanorama.ipynb
├── tutorial_pearson_residuals.ipynb
└── visualizing-marker-genes.rst

================================================
FILE CONTENTS
================================================

================================================
FILE: .gitignore
================================================
/_build/
/dist/
*.h5ad
*.zip

/cache/
/archive/
/data/
/write/
/figures/
/scripts/

# example files
CD79A.png

# caches
*~
__pycache__/
.ipynb_checkpoints/
.*cache/

# OS or Editor files and folders
.DS_Store
Thumbs.db
.directory


================================================
FILE: .pre-commit-config.yaml
================================================
repos:
  - repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v6.0.0
    hooks:
      - id: trailing-whitespace
      - id: end-of-file-fixer
      - id: check-added-large-files
      - id: check-case-conflict
      - id: check-toml
      - id: check-yaml
      - id: check-merge-conflict
      - id: detect-private-key
      - id: no-commit-to-branch
        args: ["--branch=main"]
  - repo: https://github.com/astral-sh/ruff-pre-commit
    rev: v0.15.13
    hooks:
      - id: ruff-check
        args: ["--fix"]
      - id: ruff-format
  - repo: https://github.com/tox-dev/pyproject-fmt
    rev: v2.21.2
    hooks:
      - id: pyproject-fmt
  - repo: https://github.com/biomejs/pre-commit
    rev: v2.4.15
    hooks:
      - id: biome-format


================================================
FILE: .readthedocs.yml
================================================
version: 2
build:
  os: ubuntu-24.04
  tools:
    python: "3.13"
sphinx:
  configuration: conf.py
  fail_on_warning: true
python:
  install:
    - method: pip
      path: .


================================================
FILE: .vscode/launch.json
================================================
{
	// https://go.microsoft.com/fwlink/?linkid=830387
	"version": "0.2.0",
	"configurations": [
		{
			"name": "Build docs",
			"type": "debugpy",
			"request": "launch",
			"module": "sphinx",
			"args": ["-M", "html", ".", "_build"],
			"console": "internalConsole",
		},
	],
}


================================================
FILE: .vscode/settings.json
================================================
{
	"[python]": {
		"editor.formatOnSave": true,
		"editor.defaultFormatter": "charliermarsh.ruff",
		"editor.codeActionsOnSave": {
			"source.fixAll": "always",
			"source.organizeImports": "always",
		},
	},
	"notebook.formatOnSave.enabled": true,
	"python.terminal.activateEnvironment": true,
	"python.analysis.typeCheckingMode": "basic",
}


================================================
FILE: LICENSE
================================================
BSD 3-Clause License

Copyright (c) 2024, scverse®

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
   contributors may be used to endorse or promote products derived from
   this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


================================================
FILE: Makefile
================================================
# Minimal makefile for Sphinx documentation
#

# You can set these variables from the command line.
SPHINXOPTS    =
SPHINXBUILD   = sphinx-build
SPHINXPROJ    = scanpy-tutorials
SOURCEDIR     = .
BUILDDIR      = _build

# Put it first so that "make" without argument is like "make help".
help:
	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

.PHONY: help Makefile

# Catch-all target: route all unknown targets to Sphinx using the new
# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
%: Makefile
	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)


================================================
FILE: README.rst
================================================
Scanpy tutorials
================

See this `page <https://scanpy.readthedocs.io/en/latest/tutorials.html>`__ for more context.

.. _website: https://scverse.org/
.. _governance: https://scverse.org/about/roles/
.. _NumFOCUS: https://numfocus.org/
.. _donation: https://numfocus.org/donate-to-scverse/

scanpy-tutorials is part of the scverse® project (`website`_, `governance`_) and is fiscally sponsored by `NumFOCUS`_.
Please consider making a tax-deductible `donation`_ to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.

.. raw:: html

   <p align="center">
       <a href="https://numfocus.org/project/scverse">
           <img src="https://raw.githubusercontent.com/numfocus/templates/master/images/numfocus-logo.png" width="200">
       </a>
   </p>


================================================
FILE: _static/css/warning.css
================================================
body {
	background-image: repeating-linear-gradient(
		45deg,
		var(--pst-color-danger-bg) 0,
		var(--pst-color-danger-bg) 20px,
		transparent 20px,
		transparent 40px
	);
}

.bd-sidebar-primary,
.bd-sidebar-secondary,
body:not(.scrolled) .bd-header-article {
	background-color: initial !important;
}


================================================
FILE: basic-scrna-tutorial.ipynb
================================================
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ddc32c04",
   "metadata": {},
   "source": [
    ":::{canonical-tutorial} tutorials/basics/clustering\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "404b48be-6e11-4539-8524-4213162d909c",
   "metadata": {},
   "source": [
    "# Preprocessing and clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f1990713-5968-4fc7-aeb6-5a842606fd8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Core scverse libraries\n",
    "from __future__ import annotations\n",
    "\n",
    "import anndata as ad\n",
    "\n",
    "# Data retrieval\n",
    "import pooch\n",
    "import scanpy as sc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "161629d6-b1b6-4faa-8bca-01a841e0ec10",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.settings.set_figure_params(dpi=50, facecolor=\"white\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3211b168-0575-43fa-945c-405ee9438098",
   "metadata": {},
   "source": [
    "The data used in this basic preprocessing and clustering tutorial was collected from bone marrow mononuclear cells of healthy human donors and was part of [openproblem's NeurIPS 2021 benchmarking dataset](https://openproblems.bio/competitions/neurips_2021/) {cite}`Luecken2021`. The samples used in this tutorial were measured using the 10X Multiome Gene Expression and Chromatin Accessability kit. \n",
    "\n",
    "\n",
    "We are reading in the count matrix into an {class}`~anndata.AnnData` object, which holds many slots for annotations and different representations of the data.\n",
    "See {doc}`anndata:tutorials/notebooks/getting-started` for a tutorial. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f0448e97",
   "metadata": {},
   "outputs": [],
   "source": [
    "EXAMPLE_DATA = pooch.create(\n",
    "    path=pooch.os_cache(\"scverse_tutorials\"),\n",
    "    base_url=\"doi:10.6084/m9.figshare.22716739.v1/\",\n",
    ")\n",
    "EXAMPLE_DATA.load_registry_from_doi()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9bdf7f10-e9b9-4929-a7e2-7ac373d769d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/phil/.local/share/hatch/env/virtual/scanpy-tutorials/vsyQHp6L/notebook/lib/python3.11/site-packages/anndata/_core/anndata.py:1820: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n",
      "  utils.warn_names_duplicates(\"var\")\n",
      "/home/phil/.local/share/hatch/env/virtual/scanpy-tutorials/vsyQHp6L/notebook/lib/python3.11/site-packages/anndata/_core/anndata.py:1820: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n",
      "  utils.warn_names_duplicates(\"var\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample\n",
      "s1d1    8785\n",
      "s1d3    8340\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/phil/.local/share/hatch/env/virtual/scanpy-tutorials/vsyQHp6L/notebook/lib/python3.11/site-packages/anndata/_core/anndata.py:1820: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n",
      "  utils.warn_names_duplicates(\"var\")\n",
      "/home/phil/.local/share/hatch/env/virtual/scanpy-tutorials/vsyQHp6L/notebook/lib/python3.11/site-packages/anndata/_core/anndata.py:1820: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n",
      "  utils.warn_names_duplicates(\"var\")\n",
      "/home/phil/.local/share/hatch/env/virtual/scanpy-tutorials/vsyQHp6L/notebook/lib/python3.11/site-packages/anndata/_core/anndata.py:1818: UserWarning: Observation names are not unique. To make them unique, call `.obs_names_make_unique`.\n",
      "  utils.warn_names_duplicates(\"obs\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 17125 × 36601\n",
       "    obs: 'sample'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples = {\n",
    "    \"s1d1\": \"s1d1_filtered_feature_bc_matrix.h5\",\n",
    "    \"s1d3\": \"s1d3_filtered_feature_bc_matrix.h5\",\n",
    "}\n",
    "adatas = {}\n",
    "\n",
    "for sample_id, filename in samples.items():\n",
    "    path = EXAMPLE_DATA.fetch(filename)\n",
    "    sample_adata = sc.read_10x_h5(path)\n",
    "    sample_adata.var_names_make_unique()\n",
    "    adatas[sample_id] = sample_adata\n",
    "\n",
    "adata = ad.concat(adatas, label=\"sample\")\n",
    "adata.obs_names_make_unique()\n",
    "print(adata.obs[\"sample\"].value_counts())\n",
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c673fe14-df28-4d53-abf6-3a852040e571",
   "metadata": {},
   "source": [
    "The data contains ~8,000 cells per sample and 36,601 measured genes. We'll now investigate these with a basic preprocessing and clustering workflow."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e306dde3-b587-4561-b5ec-e8a2ac5e2c13",
   "metadata": {},
   "source": [
    "## Quality Control"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "cd32b625-7f24-4b9c-9564-dd97c57dc1b2",
   "metadata": {},
   "source": [
    "The scanpy function {func}`~scanpy.pp.calculate_qc_metrics` calculates common quality control (QC) metrics, which are largely based on `calculateQCMetrics` from scater {cite}`McCarthy2017`. One can pass specific gene population to {func}`~scanpy.pp.calculate_qc_metrics` in order to calculate proportions of counts for these populations. Mitochondrial, ribosomal and hemoglobin genes are defined by distinct prefixes as listed below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "75df4b20-29ca-4e12-a878-94698a1b67d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# mitochondrial genes, \"MT-\" for human, \"Mt-\" for mouse\n",
    "adata.var[\"mt\"] = adata.var_names.str.startswith(\"MT-\")\n",
    "# ribosomal genes\n",
    "adata.var[\"ribo\"] = adata.var_names.str.startswith((\"RPS\", \"RPL\"))\n",
    "# hemoglobin genes\n",
    "adata.var[\"hb\"] = adata.var_names.str.contains(\"^HB[^(P)]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "efd36ca1-75c7-4716-8766-a5571951537b",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.calculate_qc_metrics(adata, qc_vars=[\"mt\", \"ribo\", \"hb\"], inplace=True, log1p=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b525671d-cfd3-4989-ad06-91c6edfa3af8",
   "metadata": {},
   "source": [
    "One can now inspect violin plots of some of the computed QC metrics:\n",
    "\n",
    "* the number of genes expressed in the count matrix\n",
    "* the total counts per cell\n",
    "* the percentage of counts in mitochondrial genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8f8e3e58-a05a-4fd1-ab77-f3b14232dbf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Download .txt
gitextract_wtn3z40k/

├── .gitignore
├── .pre-commit-config.yaml
├── .readthedocs.yml
├── .vscode/
│   ├── launch.json
│   └── settings.json
├── LICENSE
├── Makefile
├── README.rst
├── _static/
│   └── css/
│       └── warning.css
├── basic-scrna-tutorial.ipynb
├── biome.jsonc
├── conf.py
├── dask.ipynb
├── how-to/
│   ├── cell-cycle.ipynb
│   ├── knn-transformers.ipynb
│   └── plotting-with-marsilea.ipynb
├── index.rst
├── integrating-data-using-ingest.ipynb
├── paga-paul15.ipynb
├── pbmc3k.ipynb
├── plotting/
│   ├── advanced.ipynb
│   └── core.ipynb
├── pyproject.toml
├── scanpy_workshop/
│   ├── README.md
│   ├── day1_01.ipynb
│   ├── day1_01_GColab.ipynb
│   ├── day1_01_GColabs_solutions.ipynb
│   ├── day1_01_solutions.ipynb
│   ├── day2_01_DE_Colabs.ipynb
│   ├── day2_01_DifferentialExpression.ipynb
│   ├── day2_02_GSEA_Colabs.ipynb
│   ├── day2_02_GeneSetEnrichmentAnalysis.ipynb
│   └── day2_03_RNAvelocity.ipynb
├── spatial/
│   ├── basic-analysis.ipynb
│   └── integration-scanorama.ipynb
├── tutorial_pearson_residuals.ipynb
└── visualizing-marker-genes.rst
Download .txt
SYMBOL INDEX (6 symbols across 1 files)

FILE: conf.py
  function fake_cite (line 82) | def fake_cite(
  class FakeDomain (line 99) | class FakeDomain(Domain):
  class CanonicalTutorial (line 112) | class CanonicalTutorial(SphinxDirective):
    method run (line 116) | def run(self) -> list[nodes.Node]:
  function missing_reference (line 141) | def missing_reference(
  function setup (line 158) | def setup(app: Sphinx) -> None:
Copy disabled (too large) Download .json
Condensed preview — 37 files, each showing path, character count, and a content snippet. Download the .json file for the full structured content (56,626K chars).
[
  {
    "path": ".gitignore",
    "chars": 230,
    "preview": "/_build/\n/dist/\n*.h5ad\n*.zip\n\n/cache/\n/archive/\n/data/\n/write/\n/figures/\n/scripts/\n\n# example files\nCD79A.png\n\n# caches\n"
  },
  {
    "path": ".pre-commit-config.yaml",
    "chars": 756,
    "preview": "repos:\n  - repo: https://github.com/pre-commit/pre-commit-hooks\n    rev: v6.0.0\n    hooks:\n      - id: trailing-whitespa"
  },
  {
    "path": ".readthedocs.yml",
    "chars": 173,
    "preview": "version: 2\nbuild:\n  os: ubuntu-24.04\n  tools:\n    python: \"3.13\"\nsphinx:\n  configuration: conf.py\n  fail_on_warning: tru"
  },
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    "path": ".vscode/launch.json",
    "chars": 279,
    "preview": "{\n\t// https://go.microsoft.com/fwlink/?linkid=830387\n\t\"version\": \"0.2.0\",\n\t\"configurations\": [\n\t\t{\n\t\t\t\"name\": \"Build doc"
  },
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    "path": ".vscode/settings.json",
    "chars": 343,
    "preview": "{\n\t\"[python]\": {\n\t\t\"editor.formatOnSave\": true,\n\t\t\"editor.defaultFormatter\": \"charliermarsh.ruff\",\n\t\t\"editor.codeActions"
  },
  {
    "path": "LICENSE",
    "chars": 1495,
    "preview": "BSD 3-Clause License\n\nCopyright (c) 2024, scverse®\n\nRedistribution and use in source and binary forms, with or without\nm"
  },
  {
    "path": "Makefile",
    "chars": 614,
    "preview": "# Minimal makefile for Sphinx documentation\n#\n\n# You can set these variables from the command line.\nSPHINXOPTS    =\nSPHI"
  },
  {
    "path": "README.rst",
    "chars": 823,
    "preview": "Scanpy tutorials\n================\n\nSee this `page <https://scanpy.readthedocs.io/en/latest/tutorials.html>`__ for more c"
  },
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    "path": "_static/css/warning.css",
    "chars": 301,
    "preview": "body {\n\tbackground-image: repeating-linear-gradient(\n\t\t45deg,\n\t\tvar(--pst-color-danger-bg) 0,\n\t\tvar(--pst-color-danger-b"
  },
  {
    "path": "basic-scrna-tutorial.ipynb",
    "chars": 3612646,
    "preview": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"ddc32c04\",\n   \"metadata\": {},\n   \"source\": [\n    \":::{canonical-"
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    "path": "conf.py",
    "chars": 4626,
    "preview": "from __future__ import annotations\n\nimport os\nfrom datetime import UTC, datetime\nfrom importlib.metadata import metadata"
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    "path": "dask.ipynb",
    "chars": 777037,
    "preview": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \":::{canonical-tutorial} tutorials/e"
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    "chars": 257372,
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    "chars": 509296,
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    "preview": ".. include:: README.rst\n\n\n.. toctree::\n   :maxdepth: 1\n\n   how-to/knn-transformers\n   how-to/cell-cycle\n   how-to/plotti"
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    "path": "integrating-data-using-ingest.ipynb",
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    "path": "scanpy_workshop/README.md",
    "chars": 1250,
    "preview": "# Scanpy workshop material\n\nThis is the workshop material of the 2-day scanpy workshop taken place at the Helmholtz Cent"
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    "chars": 68454,
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// ... and 1 more files (download for full content)

About this extraction

This page contains the full source code of the scverse/scanpy-tutorials GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 37 files (66.6 MB), approximately 14.1M tokens, and a symbol index with 6 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.

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