methylation-analysis
CommunityEpigenetic methylation analysis at scale.
AuthorMDhewei
Version1.0.0
Installs0
System Documentation
What problem does it solve?
DNA methylation datasets (beta-values) across samples require integrated QC, differential methylation testing, region discovery, and annotation for biological interpretation. This skill provides an end-to-end workflow from raw beta-value matrices to publication-ready results.
Core Features & Use Cases
- QC metrics for per-sample quality assessment and clustering
- Identification of differential methylation positions (DMPs) with statistical testing and FDR control
- Identification of differentially methylated regions (DMRs) by aggregating proximate DMPs
- CpG annotation to genes and regulatory features
- Publication-quality visualizations (volcano plots, Manhattan plots, heatmaps)
- Support for two or more sample groups and flexible input configurations
Quick Start
Run the methylation analysis on your beta-value matrix and sample metadata to generate DMP and DMR results, QC metrics, and publication-ready plots.
Dependency Matrix
Required Modules
pandasnumpymatplotlibscipy
Components
scripts
💻 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: methylation-analysis Download link: https://github.com/MDhewei/bioinfor-claw/archive/main.zip#methylation-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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