Agent skill · Data & Analytics

correlation-methylation-epiFeatures

This skill provides a complete pipeline for integrating CpG methylation data with chromatin features such as ATAC-seq signal, H3K27ac, H3K4me3, or other histone marks/TF signals.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill 27-correlation-methylation-epifeatures --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/analysis/27-correlation-methylation-epifeatures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Integrative Analysis of DNA Methylation and Chromatin Features ## 1. Overview Main steps include: - Refer to the **Inputs & Outputs** section to check required inputs and set up the output directory structure. - **Always prompt user** for genome assembly used. - **Always prompt user** for which columns in the methylation BED files are methylation fraction/percent and coverage and strand. - Load and preprocess CpG methylation data - Tile methylation into fixed-size windows (e.g., 1kb) or in target regions. - Import chromatin feature signal from bigWig files - Build a unified region-level integration table - Calculate correlations between every two features. - Visualization --- ## 2. When to Use This Skill Use this pipeline when you want to explore how DNA methylation relates to chromatin state, accessibility, or histone modifications. Suitable scenarios include: - Assessing promoter/enhancer activation via methylation & ATAC/H3K27ac - Integrating multi-omics datasets (ChIP-seq, ATAC-seq, WGBS) - Evaluating epigenomic shifts across conditions, tissues, or celltypes --- ## 3. Inputs & Outputs ### Inputs `<methylation_coverage>.bed` `<epi_feature_1>.bw` `<epi_feature_2>.bw` `<target_

What's inside
Steps it walks through
  1. 1. Overview
  2. 2. When to Use This Skill
  3. 3. Inputs & Outputs
  4. Inputs
  5. Outputs
  6. 4. Decision Tree
  7. STEP 1: Prepare the sample methylation data
  8. STEP 3: Tile methylation into 1kb bins or count methylation in target regions
  9. Step 4: Build integrated region table
  10. STEP 6: Calculate correlations
  11. STEP 7: Visualization
Ships with 1 file
  • metadata.json
Commands it runs
corr_epi_methylation/
stats/
region_signal_table.tsv   # Unified table of methylation + chromatin signal
correlation_table.tsv                 # Per-feature Spearman correlations
plots/
temp/
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About this skill
What does the correlation-methylation-epiFeatures skill do?

This skill provides a complete pipeline for integrating CpG methylation data with chromatin features such as ATAC-seq signal, H3K27ac, H3K4me3, or other histone marks/TF signals.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill 27-correlation-methylation-epifeatures --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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