bulk-rna-seq-deseq2-analysis-with-omicverse
This skill guides users through bulk RNA-seq differential expression analysis using PyDESeq2 within the omicverse Python package. It covers data loading, gene ID mapping, statistical testing, visualization, and optional enrichment analysis. The instructions are detailed with concrete code examples and troubleshooting tips for common issues.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install starlitnightly-omicverse-bulk-deseq2-analysis
Repository
Skill path: .claude/skills/bulk-deseq2-analysis
This skill guides users through bulk RNA-seq differential expression analysis using PyDESeq2 within the omicverse Python package. It covers data loading, gene ID mapping, statistical testing, visualization, and optional enrichment analysis. The instructions are detailed with concrete code examples and troubleshooting tips for common issues.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Testing.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Starlitnightly.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install bulk-rna-seq-deseq2-analysis-with-omicverse into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding bulk-rna-seq-deseq2-analysis-with-omicverse to shared team environments
- Use bulk-rna-seq-deseq2-analysis-with-omicverse for ai/ml workflows
Works across
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Sub-skills: 0.
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