About
PyDESeq2 is a specialized skill for Claude that streamlines the process of differential expression analysis for bulk RNA-seq data. It guides users through the entire bioinformatics workflow, from data preprocessing and filtering to statistical testing and result visualization. By leveraging the Python implementation of the gold-standard DESeq2 algorithm, this skill enables researchers to identify significant gene changes, account for batch effects, and generate publication-ready plots directly within their Python development environment.
