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Awesome checkatlas created by becavin-lab

Project description

checkatlas

codecov CI Documentation Status

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 load Scanpy, Seurat, and CellRanger files.

Summary

  1. Parse Scanpy, Seurat and CellRanger objects

    CheckAtlas should be able to load : .rds, .h5 and .h5ad corresponding to single-cell experiment. Need to implement :

    • automatic conversion of Seurat object to Scanpy with SeuratDisk
    • Rapid check-up of files to see if a Seurat or Scanpy can be found
    • Automatic search in Scanpy files of key information = raw data, normalized data, integrated data, reductions, layers, assays, metadatas, etc...
  2. Create checkatlas summary files

    Go through all Scanpy files and extract summary information. We won't to extract :

    • All basic QC (nRNA, nFeature, ratio_mito)
    • General information (nbcells, nbgenes, nblayers)
    • All elements in scanpy objects (obs, obsm, uns, var, varm)
    • Reductions (pca, umap, tsne)
    • All metrics (clustering, annotation, dimreduction, specificity)
  3. Parse checkatlas files in MultiQC

    Update MultiQC project to add checkatlas parsing. Dev project in: https://github.com/becavin-lab/MultiQC/tree/checkatlas

https://checkatlas.readthedocs.io/en/latest/

Examples

  1. Evaluate and compare different atlases: https://github.com/becavin-lab/checkatlas/blob/3a4f88e94716c09a3b9c86010f570743a5855461/examples/Atlas_comparison.ipynb

  2. Evaluate different version of your atlas: https://github.com/becavin-lab/checkatlas/blob/3a4f88e94716c09a3b9c86010f570743a5855461/examples/Version_comparison.ipynb

  3. Explore Scanpy, Seurat and CellRanger objects in your folder: https://github.com/becavin-lab/checkatlas/blob/main/examples/AtlasType_comparison.ipynb

Install it from PyPI

pip install checkatlas

Usage

from checkatlas import checkatlas
checkatlas.run(path, atlas_list, multithread, n_cpus)
$ cd your_search_folder/
$ python -m checkatlas .
#or
$ checkatlas .

Development

Read the CONTRIBUTING.md file.

Project developed thanks to the project template : (https://github.com/rochacbruno/python-project-template/)

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