Agent skill · AI & Agents

integrative-DMR-DEG

This skill performs correlation analysis between differential methylation and differential gene expression, identifying genes with coordinated epigenetic regulation. It provides preprocessing and integration workflows, using promoter-level methylation–expression relationships.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill 23-integrative-dmr-deg --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/analysis/23-integrative-dmr-deg/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 Methylation–Expression Correlation Analysis ## Overview This skill integrates **differential methylation** and **differential expression** datasets to reveal coordinated epigenetic regulation patterns. - Refer to **Inputs & Outputs** to verify necessary files. - **Always prompt user** for genome assembly used. - Prepare the DMR regions into 6-column standard format BED file received by HOMER. - **Annotate** the differential methylation regions to the gene promoter. - **Preprocess** differential methylation and expression tables into a standard format. - **Integrate** methylation and expression data by promoter proximity. - **Calculate correlation** between methylation change and expression fold change. - **Classify patterns** such as hypermethylation–downregulation or hypomethylation–upregulation. --- ## Inputs & Outputs ### Inputs ```bash dmr_results.txt # DMR results output by the metilene dge_result.csv # DEG results output by DESeq2 ``` ### Outputs ```bash corr_DMR_DEG/ stats/ integrated_results.tsv pattern_counts.tsv summary_stats.tsv correlation_plot.pdf temp/ homer_dmr.bed ... # Other temp files ``` --- ## Decision Tree ### Step 1: Prepare the DMR regions into

What's inside
Steps it walks through
  1. Overview
  2. Inputs & Outputs
  3. Inputs
  4. Outputs
  5. Decision Tree
  6. Step 2: Annotate the differential methylation regions to the gene promoter.
  7. Step 4: Integrate methylation and expression data by promoter proximity
Ships with 1 file
  • metadata.json
Commands it runs
dmr_results.txt # DMR results output by the metilene
dge_result.csv # DEG results output by DESeq2
corr_DMR_DEG/
stats/
integrated_results.tsv
pattern_counts.tsv
summary_stats.tsv
correlation_plot.pdf
temp/
homer_dmr.bed
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About this skill
What does the integrative-DMR-DEG skill do?

This skill performs correlation analysis between differential methylation and differential gene expression, identifying genes with coordinated epigenetic regulation. It provides preprocessing and integration workflows, using promoter-level methylation–expression relationships.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill 23-integrative-dmr-deg --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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