About
The pydeseq2 skill performs differential gene expression analysis on bulk RNA-seq count data using a Python implementation of DESeq2. It's ideal for identifying differentially expressed genes between conditions via Wald tests with FDR correction, supporting both single and multi-factor designs. Developers can use it to run complete RNA-seq workflows in Python, including statistical testing, results visualization, and pipeline integration.
Quick Install
Claude Code
Recommendednpx skills add overtimepog/AgentTheo -a claude-code/plugin add https://github.com/overtimepog/AgentTheogit clone https://github.com/overtimepog/AgentTheo.git ~/.claude/skills/pydeseq2Copy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the pydeseq2 skill?
pydeseq2 is a Claude Skill by overtimepog. Skills package instructions and resources that Claude loads on demand, so Claude can perform pydeseq2-related tasks without extra prompting.
How do I install pydeseq2?
Use the install commands on this page: add pydeseq2 to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does pydeseq2 belong to?
pydeseq2 is in the Testing category, tagged testing.
Is pydeseq2 free to use?
Yes. pydeseq2 is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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