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methylation-variability-analysis

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Quantify CpG variability across samples.

Data & Analytics#heterogeneity#methylation#WGBS#CpG#variability#epigenetics
AuthorBIsnake2001
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill provides a complete and streamlined workflow for performing methylation variability and epigenetic heterogeneity analysis from whole-genome bisulfite sequencing (WGBS) data. It is designed for researchers who want to quantify CpG-level variability across biological samples or conditions, identify highly variable CpGs (HVCs), and explore epigenetic heterogeneity.

Core Features & Use Cases

  • Build a multi-sample CpG methylation matrix from WGBS coverage data.
  • Compute between-sample variability metrics (variance, MAD, CV) across CpGs.
  • Identify highly variable CpGs (HVCs) and explore epigenetic heterogeneity between groups.
  • Extend to region-level analyses and differential variability contrasts across conditions.

Quick Start

Run the methylation variability workflow on your WGBS methylation BED files to identify highly variable CpGs across samples.

Dependency Matrix

Required Modules

None required

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: methylation-variability-analysis
Download link: https://github.com/BIsnake2001/ChromSkills/archive/main.zip#methylation-variability-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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