go-kegg-enrichment
Performs GO (Gene Ontology) and KEGG pathway enrichment analysis on gene lists. Trigger when: - User provides a list of genes (symbols or IDs) and asks for enrichment analysis - User mentions "GO enrichment", "KEGG enrichment", "pathway analysis" - User wants to understand biological functions of gene sets - User provides differentially expressed genes (DEGs) and asks for interpretation - Input: gene list (file or inline), organism (human/mouse/rat), background gene set (optional) - Output: enriched terms, statistics, visualizations (barplot, dotplot, enrichment map)
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 openclaw-skills-go-kegg-enrichment
Repository
Skill path: skills/aipoch-ai/go-kegg-enrichment
Performs GO (Gene Ontology) and KEGG pathway enrichment analysis on gene lists. Trigger when: - User provides a list of genes (symbols or IDs) and asks for enrichment analysis - User mentions "GO enrichment", "KEGG enrichment", "pathway analysis" - User wants to understand biological functions of gene sets - User provides differentially expressed genes (DEGs) and asks for interpretation - Input: gene list (file or inline), organism (human/mouse/rat), background gene set (optional) - Output: enriched terms, statistics, visualizations (barplot, dotplot, enrichment map)
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: Bioinfo teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: openclaw.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install go-kegg-enrichment into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/openclaw/skills before adding go-kegg-enrichment to shared team environments
- Use go-kegg-enrichment for bioinfo workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.