bio-de-visualization
CommunityPublish-ready DE plots for RNA-seq results
Data & Analytics#visualization#plotting#differential-expression#deseq2#rnaseq#edger#de-visualization
Authorya-way
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Differential expression analysis in RNA-seq often produces complex results that are hard to interpret from raw tables alone. This Skill provides ready-to-use visualizations (MA plots, PCA, heatmaps, dispersion plots, and counts plots) to help researchers quickly understand DE patterns and communicate findings.
Core Features & Use Cases
- Generate MA plots, heatmaps, PCA plots, dispersion plots, and counts plots from DESeq2 or edgeR outputs.
- Support common RNA-seq differential analysis workflows, including identifying top DE genes and comparing multiple conditions across samples.
- Provide guidance on interpreting visuals and troubleshooting plotting issues for robust data exploration.
Quick Start
Generate a PCA plot of your samples colored by condition from your DESeq2 results.
Dependency Matrix
Required Modules
None requiredComponents
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: bio-de-visualization Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-de-visualization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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