Agent skill · Databases

bio-pathway-reactome

Reactome pathway enrichment using ReactomePA package. Use when analyzing gene lists against Reactome's curated peer-reviewed pathway database. Performs over-representation analysis and GSEA with visualization and pathway hierarchy exploration.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill reactome-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: 7 KB
Bundled scripts: none
Path: skills/bioskills/reactome-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), ReactomePA 1.46+, 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. # Reactome Pathway Enrichment ## When to Use Reactome | Scenario | Reactome? | Alternative | |----------|-----------|-------------| | Signaling pathway detail (reaction-level) | Yes -- best choice | KEGG (pathway-level only) | | Metabolic pathway focus | Supplement | KEGG has stronger metabolic coverage | | Reproducibility / open license required | Yes (CC0) | WikiPathways (CC0) | | Non-model organism (bacteria, plants) | No (7 species only) | KEGG (8,000+ species) | | Non-human model organism (mouse, rat, fly) | Caution | Annotations are computationally inferred via orthology from human; may contain errors | Reactome pathways are curated by PhD-level biologists and externally peer-reviewed, making them the highest-quality curated pathway database. Human is the p

What's inside
Steps it walks through
  1. Version Compatibility
  2. When to Use Reactome
  3. Core Pattern - Over-Representation Analysis
  4. Prepare Gene List from DE Results
  5. GSEA on Reactome Pathways
  6. With Background Universe
  7. Visualization
  8. View Pathway in Browser
  9. Export Results
  10. Different Organisms
  11. Compare Clusters
  12. Key Parameters
  13. Supported Organisms
  14. Interpretation Notes
Ships with 3 files
  • examples/reactome_gsea.R
  • examples/reactome_ora.R
  • usage-guide.md
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About this skill
What does the bio-pathway-reactome skill do?

Reactome pathway enrichment using ReactomePA package. Use when analyzing gene lists against Reactome's curated peer-reviewed pathway database. Performs over-representation analysis and GSEA with visualization and pathway hierarchy exploration.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill reactome-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.

Keep going