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.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill methylation-calling --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/bioskills/methylation-calling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

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

From the SKILL.md

## Version Compatibility Reference examples tested with: pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Methylation Calling **"Extract methylation calls from my Bismark BAM"** → Generate per-cytosine methylation reports (CpG, CHG, CHH contexts) from aligned bisulfite sequencing data. - CLI: `bismark_methylation_extractor --bedGraph --cytosine_report sample.bam` ## 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

What's inside
Steps it walks through
  1. Version Compatibility
  2. Basic Extraction
  3. Paired-End Extraction
  4. Common Options
  5. CpG Context Only
  6. Genome-Wide Cytosine Report
  7. Strand-Specific Output
  8. Avoid Double-Counting Overlapping Reads
  9. Generate Coverage File
  10. Convert to BigWig for Visualization
  11. M-Bias Plot
  12. Ignore End Bias
  13. Output Files
  14. Parse Output in Python
Ships with 2 files
  • examples/extract_methylation.sh
  • usage-guide.md
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 awesome-bio-agent-skills
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 BioTender-max/awesome-bio-agent-skills --skill methylation-calling --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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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