Data Science & Analytics
Tooluniverse Rnaseq DESeq2
RNA-seq differential expression analysis with DESeq2, edgeR, and limma-voom — DEG lists, fold changes, dispersion estimation, design formulas including covariates, multi-condition contrasts, and Venn-set operations across groups. Routes across DESeq2 (default), edgeR (QL-F / exact test for small replicate counts), and limma-voom (large n / complex designs). Use when you have a count matrix + metadata, want to find DEGs, or need dispersion/PCA/clustering analysis. Includes RULE ZERO precedence (read executed.ipynb if present).
- Publisher / source
- mims-harvard/ToolUniverse (found on GitHub top repositories)
- Upstream record
- mims-harvard/ToolUniverse
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
5007629dfa07bb5636a63d9690f7cf015916eacb12edad913f9cd32c5411790a