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parashardhapola
scarf parashardhapola
12
98
bsd-3-clause
5
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.
tsne umap big-data cite-seq genomics scrna-seq clustering multiomics pseudotime scatac-seq gene-modules bioinformatics graph-analytics memory-efficient dimension-reduction single-cell-rna-seq single-cell-atac-seq single-cell-genomics scalable-data-analysis differential-expression
Created 2020-05-07
1,024 commits to master branch, last one 4 days ago