bulkrna-enrichment
OfficialUncover biological pathways from RNA-seq data.
AuthorTianGzlab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex process of identifying biological pathways and functions enriched in bulk RNA-seq differential expression results, eliminating manual data wrangling and tool switching.
Core Features & Use Cases
- Automated Enrichment Analysis: Performs Over-Representation Analysis (ORA) or Gene Set Enrichment Analysis (GSEA) on differential expression data.
- Flexible Pathway Databases: Supports standard databases (GO, KEGG, Reactome via GSEApy) and custom gene sets.
- Publication-Ready Outputs: Generates clear reports, plots, and data tables for biological interpretation and reporting.
- Use Case: After identifying differentially expressed genes between a treatment and control group, use this Skill to quickly determine which biological pathways are significantly affected, providing immediate insights into the molecular mechanisms.
Quick Start
Run pathway enrichment analysis on your bulk RNA differential expression results using the default ORA method.
Dependency Matrix
Required Modules
numpypandasscipymatplotlib
Components
scriptsreferences
💻 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: bulkrna-enrichment Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#bulkrna-enrichment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.