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
Sep 3, 2024 - Python