rnaseq-analysis
CommunityEnd-to-end RNA-seq analysis with DESeq2.
Authorgexijin
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyze bulk RNA-seq count data to perform QC, normalization, differential expression testing, and gene ID mapping using DESeq2, enabling reproducible end-to-end analysis workflows.
Core Features & Use Cases
- QC, normalization, and DESeq2 modeling for bulk RNA-seq count matrices from various data formats (raw counts, featureCounts, RSEM, GEO series).
- Differential expression results with shrunken LFC (via apeglm/normal method for paired designs) and annotated gene IDs for downstream interpretation.
- Flexible analysis for unpaired vs paired designs, multi-factor models, and downstream visualizations (PCA, heatmaps, GO/KEGG enrichment) with a portable, here-based workflow.
Quick Start
Analyze the provided RNA-seq count matrix by performing QC, normalization, DESeq2 modeling, and annotating results.
Dependency Matrix
Required Modules
DESeq2ggplot2dplyrtidyrpheatmapRColorBrewerhereGEOqueryAnnotationDbiorg.Hs.eg.dbclusterProfilerbiomaRtapeglm
Components
Standard package💻 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: rnaseq-analysis Download link: https://github.com/gexijin/vitiligo/archive/main.zip#rnaseq-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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