Agent skill · Data & Analytics

bio-methylation-calling

Extract methylation calls from Bismark BAM files using bismark_methylation_extractor. Generates per-cytosine reports for CpG, CHG, and CHH contexts. Use when extracting methylation levels from aligned bisulfite sequencing data for downstream analysis.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill methylation-calling-gptomics-bioskills-2 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/methylation-calling-gptomics-bioskills-2/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

# Methylation Calling ## Basic Extraction ```bash # Extract methylation calls from Bismark BAM bismark_methylation_extractor --gzip --bedGraph \ sample_bismark_bt2.bam ``` ## Paired-End Extraction ```bash bismark_methylation_extractor --paired-end --gzip --bedGraph \ sample_bismark_bt2_pe.bam ``` ## Common Options ```bash bismark_methylation_extractor \ --paired-end \ # For paired-end data --gzip \ # Compress output --bedGraph \ # Generate bedGraph file --cytosine_report \ # Genome-wide cytosine report --genome_folder /path/to/genome/ \ # Required for cytosine_report --buffer_size 10G \ # Memory buffer --parallel 4 \ # Parallel extraction -o output_dir/ \ sample.bam ``` ## CpG Context Only ```bash # Most common - extract only CpG methylation bismark_methylation_extractor \ --paired-end \ --no_overlap \ # Avoid double counting overlapping reads --gzip \ --bedGraph \ --CX \ # Also extract CHG/CHH (optional) sample.bam ``` ## Genome-Wide Cytosine Report ```bash # Comprehensive report with all CpGs in genome bismark_methylation_extractor \ --paired-end \ --gzip \ --bedGraph \ --cytosine_report \ --genome_folder /path/to/genome/ \ sample.bam ``` ## Strand-Specific Output ```bash # Defau

What's inside
Steps it walks through
  1. Basic Extraction
  2. Paired-End Extraction
  3. Common Options
  4. CpG Context Only
  5. Genome-Wide Cytosine Report
  6. Strand-Specific Output
  7. Avoid Double-Counting Overlapping Reads
  8. Generate Coverage File
  9. Convert to BigWig for Visualization
  10. M-Bias Plot
  11. Ignore End Bias
  12. Output Files
  13. Parse Output in Python
  14. Key Parameters
Ships with 1 file
  • metadata.json
Commands it runs
Extract methylation calls from Bismark BAM
bismark_methylation_extractor --gzip --bedGraph \
sample_bismark_bt2.bam
bismark_methylation_extractor --paired-end --gzip --bedGraph \
sample_bismark_bt2_pe.bam
bismark_methylation_extractor \
sample.bam
Most common - extract only CpG methylation
Comprehensive report with all CpGs in genome
CpG_OT_sample.txt - Original Top strand
More from claude-skill-registry
All skills →
About this skill
What does the bio-methylation-calling skill do?

Extract methylation calls from Bismark BAM files using bismark_methylation_extractor. Generates per-cytosine reports for CpG, CHG, and CHH contexts. Use when extracting methylation levels from aligned bisulfite sequencing data for downstream analysis.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill methylation-calling-gptomics-bioskills-2 --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.

Keep going