https://github.com/becavin-lab/checkatlas
One liner tool to check the quality of your single-cell atlases.
Science Score: 36.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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1 of 4 committers (25.0%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (12.7%) to scientific vocabulary
Keywords
Repository
One liner tool to check the quality of your single-cell atlases.
Basic Info
- Host: GitHub
- Owner: becavin-lab
- License: bsd-3-clause
- Language: HTML
- Default Branch: main
- Homepage: https://checkatlas.readthedocs.io/en/latest/
- Size: 53.4 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 16
- Releases: 88
Topics
Metadata Files
README.md
CheckAtlas is a one liner tool to check the quality of your single-cell atlases. For every atlas, it produces the quality control tables and figures which can be then processed by multiqc. CheckAtlas is able to check the quality of Scanpy, Seurat, and CellRanger files.
More information on the read the doc page
Summary
Powered by nextflow, checkatlas can be ran in one command line:
bash
nextflow run nf-core-checkatlas -r dev --path search_folder/
The checkatlas workflow start with a fast crawl through your working directory. It detects Seurat (.rds), Scanpy (.h5ad) or cellranger (.h5) atlas files.
Then, it goes through all atlas files and produce summary information:
- All basic QC (nRNA, nFeature, ratio_mito)
- General information (nbcells, nbgenes, nblayers)
- All elements in atlas files (obs, obsm, uns, var, varm)
- Reductions (pca, umap, tsne)
- All metrics (clustering, annotation, dimreduction, specificity)
All tables and figs are saved in the checkatlas_files folder in your search folder.
A single html report is produced, using MultiQC, in checkatlas_files/Checkatlas-MultiQC.html.

Examples
Evaluate and compare different scanpy atlases: Example 1
Evaluate different version of one atlas: Example 2
Evaluate Scanpy, Seurat and CellRanger objects in your folder: Example 3
Evaluate an integrated Scanpy atlas with the corresponding raw CellRanger atlases: Example 4
Evaluate different Cellranger atlases with multiple chemistry version and cellranger version: Example 5
Installation
CheckAtlas is in two parts. The checkatlas pythn module which can be downloaded with PyPi, and the checkatlas workflow which can be downloaded with nextflow.
bash
pip install checkatlas
bash
nextflow pull becavin-lab/nf-core-checkatlas
You need also to install a version of MultiQC with checkatlas capability (for the moment). This version of MultiQC is available at checkatlas branch of github.com:becavin-lab/MultiQC.
bash
git clone git@github.com:becavin-lab/MultiQC.git
cd MultiQC/
git checkout checkatlas
pip install .
Finally, checkatlas comes with rpy2 to perform the interface between python and R. But, it does not automatically install Seurat. So if you want to screen Seurat atlases you need to perfrom this last installation
```bash % R
install.packages('Seurat') library(Seurat) ```
Development
This project is in a very early development phase. All helpers are welcome. Please contact us or submit an issue.
Read the CONTRIBUTING.md file.
Checkatlas has two repositories: - The checkatlas module - The checkatlas nextflow workflow
It has a module on MultiQC - MultiQC checkatlas branch
The checkatlas package is available on PyPI - Checkatlas PyPI
The bioconda recipe has been submitted - Checkatlas bioconda recipe
Project developed thanks to the project template : (https://github.com/rochacbruno/python-project-template/)
Owner
- Name: becavin-lab
- Login: becavin-lab
- Kind: organization
- Repositories: 22
- Profile: https://github.com/becavin-lab
GitHub Events
Total
- Release event: 3
- Member event: 1
- Push event: 205
- Create event: 11
Last Year
- Release event: 3
- Member event: 1
- Push event: 205
- Create event: 11
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| drbecavin | d****n | 231 |
| Christophe Bécavin | b****e@g****m | 151 |
| christophe Becavin | c****n@d****r | 31 |
| Paola Porracciolo | p****o@g****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 37
- Total pull requests: 10
- Average time to close issues: 8 months
- Average time to close pull requests: about 2 hours
- Total issue authors: 3
- Total pull request authors: 1
- Average comments per issue: 0.57
- Average comments per pull request: 0.3
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- drbecavin (33)
- grst (2)
- chris-rands (1)
Pull Request Authors
- drbecavin (9)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- anndata *
- dask *
- distributed *
- matplotlib *
- multiqc *
- numpy *
- pandas *
- pytest *
- rpy2 *
- scanpy *
- scikit-learn *
- scipy *
- seaborn *
- setuptools *
- types-PyYAML *
- actions/checkout v2 composite
- actions/setup-python v2 composite
- codecov/codecov-action v1 composite
- actions/checkout v2 composite
- actions/checkout v1 composite
- actions/setup-python v1 composite
- softprops/action-gh-release v1 composite
- Markdown *
- jinja2 *
- mkdocs *
- black * test
- codecov * test
- coverage * test
- flake8 * test
- gitchangelog * test
- isort * test
- mkdocs * test
- multiqc * test
- mypy * test
- pytest * test
- pytest-cov * test
- scanpy * test
