parashardhapola/scarf

big-data bioinformatics cite-seq clustering differential-expression dimension-reduction gene-modules genomics graph-analytics memory-efficient multiomics pseudotime scalable-data-analysis scatac-seq scrna-seq single-cell-atac-seq single-cell-genomics single-cell-rna-seq tsne umap

A framework for memory-efficient analysis of single-cell genomics data

🔌 Installation | 📖 Documentation | 🚀 Getting started | 📝 Article in Nature Comm

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About

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

http://scarf.readthedocs.io

big-data bioinformatics cite-seq clustering differential-expression dimension-reduction gene-modules genomics graph-analytics memory-efficient multiomics pseudotime scalable-data-analysis scatac-seq scrna-seq single-cell-atac-seq single-cell-genomics single-cell-rna-seq tsne umap

BSD 3-Clause "New" or "Revised" License

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