LLMs-Universal-Life-Science-and-Clinical-Skills- proteomics-enrichment
install
source · Clone the upstream repo
git clone https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- "$T" && mkdir -p ~/.claude/skills && cp -r "$T/Skills/Proteomics/proteomics-enrichment" ~/.claude/skills/mdbabumiamssm-llms-universal-life-science-and-clinical-skills-proteomics-enrichm && rm -rf "$T"
manifest:
Skills/Proteomics/proteomics-enrichment/SKILL.mdsource content
🗺️ Proteomics Enrichment
Pathway, network, and Gene Ontology enrichment analysis for proteomics data.
CLI Reference
python omicsclaw.py run prot-enrichment --demo python omicsclaw.py run prot-enrichment --input <proteins.csv> --output <dir>
Parameters
| Parameter | Default | Description |
|---|---|---|
| | ora or gsea |
| | Species |
Why This Exists
- Without it: A list of 500 significant proteins is biologically impossible to interpret
- With it: Algorithms collapse hundreds of targets into 5 or 10 meaningful biological pathways
- Why OmicsClaw: Runs fast local enrichment caches utilizing multiple ontologies simultaneously
Workflow
- Calculate: Map Uniprot IDs to Gene Symbols or Entrez.
- Execute: Hypergeometric tests over known Kegg/GO definitions.
- Assess: Perform FDR multiple testing adjustments.
- Generate: Output structural network graphs.
- Report: Tabulate key functionally enriched terms.
Example Queries
- "Perform GO enrichment on these significant proteins using STRING"
- "Run g:Profiler on this list of genes"
Output Structure
output_directory/ ├── report.md ├── result.json ├── pathways.csv ├── figures/ │ └── enrichment_dotplot.png ├── tables/ │ └── top_pathways.csv └── reproducibility/ ├── commands.sh ├── environment.yml └── checksums.sha256
Safety
- Local-first: Strict offline processing without external upload.
- Disclaimer: Requires OmicsClaw reporting structures and disclaimers.
- Audit trail: Hyperparameters and operational flow states are logged fully.
Integration with Orchestrator
Trigger conditions:
- Automatically invoked dynamically based on tool metadata and user intent matching.
Chaining partners:
— Upstream source of significant proteinsdifferential-abundance
Citations
- STRING — protein interaction network
- g:Profiler — functional enrichment