Agent skill · Databases

bio-pathway-kegg-pathways

KEGG pathway and module enrichment analysis using clusterProfiler enrichKEGG and enrichMKEGG. Use when identifying metabolic and signaling pathways over-represented in a gene list. Supports 4000+ organisms via KEGG online database.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill kegg-pathways --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/bioskills/kegg-pathways/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: R stats (base), clusterProfiler 4.10+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # KEGG Pathway Enrichment ## Core Pattern **Goal:** Identify KEGG metabolic and signaling pathways over-represented in a gene list. **Approach:** Test for enrichment using the hypergeometric test via clusterProfiler enrichKEGG against the KEGG online database. **"Find enriched KEGG pathways in my gene list"** → Test whether KEGG pathway gene sets are over-represented among significant genes. ```r library(clusterProfiler) kk <- enrichKEGG( gene = gene_list, # Character vector of gene IDs organism = 'hsa', # KEGG organism code pvalueCutoff = 0.05, pAdjustMethod = 'BH' ) ``` ## Prepare Gene List **Goal:** Extract significant Entrez gene IDs from DE results in the format required by enrichKEGG. **Approach:** Filter by significance thresholds and convert gene symbols to Entrez IDs (KEG

What's inside
Steps it walks through
  1. Version Compatibility
  2. Core Pattern
  3. Prepare Gene List
  4. KEGG ID Conversion
  5. Run KEGG Pathway Enrichment
  6. Make Results Readable
  7. KEGG Module Enrichment
  8. Common Organism Codes
  9. Background Universe (Critical)
  10. Extract and Export Results
  11. Browse KEGG Pathways
  12. Key Parameters
  13. Compare Multiple Gene Lists
  14. Prokaryotic / Non-Model Organism KEGG
Ships with 3 files
  • examples/kegg_enrichment.R
  • examples/kegg_module.R
  • usage-guide.md
More from awesome-bio-agent-skills
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About this skill
What does the bio-pathway-kegg-pathways skill do?

KEGG pathway and module enrichment analysis using clusterProfiler enrichKEGG and enrichMKEGG. Use when identifying metabolic and signaling pathways over-represented in a gene list. Supports 4000+ organisms via KEGG online database.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill kegg-pathways --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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