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GitHub / parashardhapola / scarf
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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parashardhapola%2Fscarf
Stars: 90
Forks: 12
Open Issues: 10
License: bsd-3-clause
Language: Python
Repo Size: 32.6 MB
Dependencies:
0
Created: about 4 years ago
Updated: 10 days ago
Last pushed: 10 days ago
Last synced: 10 days ago
Commit Stats
Commits: 896
Authors: 5
Mean commits per author: 179.2
Development Distribution Score: 0.177
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/parashardhapola/scarf
Topics: 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
Files
No dependencies found