satijalab/seurat

Deep probabilistic analysis of single-cell and spatial omics data

Single-cell analysis in Python. Scales to >100M cells.

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

https://www.sc-best-practices.org

📊 A universal enrichment tool for interpreting omics data

Official code repository for GATK versions 4 and up

scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.

This is the development home of the workflow management system Snakemake. For general information, see

A curated list of awesome Bioinformatics libraries and software.