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.
bioinformatics big-data genomics clustering scrna-seq graph-analytics memory-efficient tsne differential-expression umap dimension-reduction single-cell-genomics single-cell-rna-seq scalable-data-analysis single-cell-atac-seq multiomics cite-seq pseudotime scatac-seq gene-modules
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Updated
Dec 17, 2024 - Python