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README.md

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@@ -9,32 +9,25 @@ CheckAtlas is a one liner tool to check the quality of your single-cell atlases.
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quality control tables and figures which can be then processed by multiqc. CheckAtlas is able to load Scanpy, Seurat,
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and CellRanger files.
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## Summary
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CheckAtlas is a one liner tool to check the quality of your single-cell atlases. For every atlas, it produces the
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quality control tables and figures which can be then processed by multiqc. CheckAtlas is able to load Scanpy, Seurat,
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and CellRanger files.
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## Summary
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1. Parse Scanpy, Seurat and CellRanger objects
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### Parse Scanpy, Seurat and CellRanger objects
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CheckAtlas should be able to load : .rds, .h5 and .h5ad corresponding to single-cell experiment. Need to implement :
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- Fast crawl through your folder and detect Seurat, Scanpy or cellranger atlas files.
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- Automatic search in atlas files for key information = raw data, normalized data, integrated data, reductions, layers, assays, metadatas, etc...
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Fast crawl through your folder and detect Seurat (.rds), Scanpy (.h5ad) or cellranger (.h5) atlas files.
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2. Create checkatlas summary files
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### Create checkatlas summary files
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Go through all atlas files and produce summary information:
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Go through all atlas files and produce summary information:
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- All basic QC (nRNA, nFeature, ratio_mito)
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- General information (nbcells, nbgenes, nblayers)
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- All elements in atlas files (obs, obsm, uns, var, varm)
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- Reductions (pca, umap, tsne)
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- All metrics (clustering, annotation, dimreduction, specificity)
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- All basic QC (nRNA, nFeature, ratio_mito)
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- General information (nbcells, nbgenes, nblayers)
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- All elements in atlas files (obs, obsm, uns, var, varm)
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- Reductions (pca, umap, tsne)
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- All metrics (clustering, annotation, dimreduction, specificity)
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3. Parse checkatlas files in MultiQC
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### Parse checkatlas files in MultiQC
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Update MultiQC project to add checkatlas parsing. Dev project in: https://github.com/becavin-lab/MultiQC/tree/checkatlas
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docs/index.md

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@@ -8,22 +8,15 @@ CheckAtlas is a one liner tool to check the quality of your single-cell atlases.
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quality control tables and figures which can be then processed by multiqc. CheckAtlas is able to load Scanpy, Seurat,
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and CellRanger files.
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## Summary
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CheckAtlas is a one liner tool to check the quality of your single-cell atlases. For every atlas, it produces the
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quality control tables and figures which can be then processed by multiqc. CheckAtlas is able to load Scanpy, Seurat,
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and CellRanger files.
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## Summary
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1. Parse Scanpy, Seurat and CellRanger objects
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CheckAtlas should be able to load : .rds, .h5 and .h5ad corresponding to single-cell experiment. Need to implement :
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- Fast crawl through your folder and detect Seurat, Scanpy or cellranger atlas files.
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- Automatic search in atlas files for key information = raw data, normalized data, integrated data, reductions, layers, assays, metadatas, etc...
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### Parse Scanpy, Seurat and CellRanger objects
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Fast crawl through your folder and detect Seurat (.rds), Scanpy (.h5ad) or cellranger (.h5) atlas files.
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2. Create checkatlas summary files
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### Create checkatlas summary files
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Go through all atlas files and produce summary information:
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- Reductions (pca, umap, tsne)
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- All metrics (clustering, annotation, dimreduction, specificity)
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3. Parse checkatlas files in MultiQC
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### Parse checkatlas files in MultiQC
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Update MultiQC project to add checkatlas parsing. Dev project in: https://github.com/becavin-lab/MultiQC/tree/checkatlas
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