Local Methylation Profiling FAQs

Question 1

What kind of data outputs can I expect?

Accepted Answer

The skill generates a structured directory containing aggregated methylation statistics (TSV format) and high-quality profile plots (PDF/PNG format), as well as cleaned intermediate BED files for reproducibility.

Question 2

When should I use this skill in my workflow?

Accepted Answer

Use this skill when you need to visualize how DNA methylation levels change relative to specific genomic landmarks, such as Transcription Start Sites (TSS), CTCF binding peaks, enhancers, or specific DNA motifs.

Question 3

What does the Local Methylation Profiling skill do?

Accepted Answer

This skill automates the analysis of DNA methylation patterns around specific genomic coordinates. It bins methylation data from BED files, aggregates it around center points (like TSS or enhancers), and generates publication-quality visualization plots with mean lines and error ribbons.

Question 4

Can I customize the analysis for different genomic features?

Accepted Answer

Yes. The skill includes built-in guidelines for different contexts; for example, it recommends ±2kb flanking for TF peaks but ±0.5kb for small motifs, ensuring the resolution and scale match your biological question.

Question 5

How does this skill improve the bioinformatics workflow in Claude Code?

Accepted Answer

It eliminates manual data munging by providing a structured decision tree for preprocessing multi-column BED files. It also offers context-aware parameter recommendations (flank size, bin size, and coverage) based on the specific genomic feature you are analyzing.

Local Methylation Profiling

Local Methylation Profiling

주요 기능

사용 사례

주요 기능

사용 사례