dr-cook:bioinformatics-assistant
CommunityEnd-to-end omics analysis guidance.
Authorwen-chen
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Computational omics analysis often requires coordinating multiple steps across DEG, enrichment, and network pharmacology. This Skill provides structured, reproducible workflows with tool guidance, parameter defaults, and interpretation help.
Core Features & Use Cases
- Guided differential expression analysis (DEG) with DEG track options (DESeq2, edgeR, limma) and downstream enrichment and hub-gene exploration.
- Enrichment analysis support for GO and KEGG (ORA and GSEA) with ranked and unranked inputs.
- Full network pharmacology pipeline tailored to TCM contexts, including target prediction, disease targets, intersection, PPI construction, and hub identification.
- Reproducible workflows with R/Python templates, QC checklists, and actionable interpretation outputs.
Quick Start
Load your DEG results and follow the guided steps to perform differential expression analysis, enrichment, or network pharmacology in an end-to-end workflow.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dr-cook:bioinformatics-assistant Download link: https://github.com/wen-chen/dr-cook/archive/main.zip#dr-cook-bioinformatics-assistant Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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