lib-pydeseq2
OfficialDifferential gene expression analysis
Authorbiomaps-infra
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex process of identifying differentially expressed genes from bulk RNA-seq count data, enabling researchers to pinpoint genes that change significantly between experimental conditions.
Core Features & Use Cases
- Differential Expression Analysis: Perform standard DESeq2 workflows for RNA-seq data.
- Statistical Testing: Identify significant genes using Wald tests with FDR correction.
- Visualization: Generate volcano and MA plots for interpreting results.
- Use Case: Analyze RNA-seq data from a drug treatment experiment to find genes that are significantly upregulated or downregulated in the treated group compared to the control group.
Quick Start
Use the lib-pydeseq2 skill to analyze RNA-seq counts using a simple condition design and identify genes differentially expressed between treated and control samples.
Dependency Matrix
Required Modules
pydeseq2pandasnumpyscipyscikit-learnanndatamatplotlibseaborn
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: lib-pydeseq2 Download link: https://github.com/biomaps-infra/blender-opencode/archive/main.zip#lib-pydeseq2 Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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