Run differential gene expression analysis on bulk RNA-seq count matrices with PyDESeq2, the Python port of DESeq2 — size-factor normalization, dispersion estimation, Wald tests, FDR (Benjamini-Hochberg) correction, and volcano/MA plots. Use when identifying differentially expressed genes between conditions from raw bulk RNA-seq counts. Part of the AlterLab Academic Skills suite.
安装
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pydeseq2npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pydeseq2 -a claude-code -gnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pydeseq2 -a codex -ggemini skills install https://github.com/AlterLab-IEU/AlterLab-Academic-Skills.git --path skills/bioinformatics/alterlab-pydeseq2gh skill install AlterLab-IEU/AlterLab-Academic-Skills alterlab-pydeseq2git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills /tmp/AlterLab-IEU__AlterLab-Academic-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/bioinformatics/alterlab-pydeseq2 ~/.claude/skills/alterlab-pydeseq2 # Claude Code
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/bioinformatics/alterlab-pydeseq2 ~/.agents/skills/alterlab-pydeseq2 # Codex, Cursor, Gemini CLI, Copilot, OpenCode