Differential Methylation Analysis FAQs

Question 1

What does the Differential Methylation Analysis skill do?

Accepted Answer

This skill automates the identification of Differential Methylation Regions (DMRs) and Cytosines (DMCs) from Whole Genome Bisulfite Sequencing (WGBS) data. It standardizes heterogeneous BED/BedGraph inputs, runs the Metilene algorithm, and provides filtered statistical results.

Question 2

How does this skill improve my bioinformatics workflow?

Accepted Answer

It eliminates the manual effort of data munging and tool configuration. Claude manages the standardization of input files, handles the complex parameterization of Metilene, and automatically generates publication-ready visualizations like volcano plots.

Question 3

Can I customize the significance thresholds for my analysis?

Accepted Answer

Yes. The skill supports customizable filtering where you can define specific q-value thresholds and delta methylation (Δmethylation) requirements to ensure the results meet your specific research criteria.

Question 4

When should I use this Claude Code skill?

Accepted Answer

Use this skill during the downstream analysis phase of a genomics project when you need to compare DNA methylation levels between two experimental conditions, such as comparing diseased samples against a healthy control group.

Question 5

What specific file formats and outputs are supported?

Accepted Answer

The skill accepts methylation BED or BedGraph files. It produces standardized outputs including significant DMR/DMC lists in TSV format, BED files for genome browser visualization (like IGV), and PDF plots for data distribution and significance.

Differential Methylation Analysis

Differential Methylation Analysis

Key Features

Use Cases

Key Features

Use Cases