Agent skill · Data & Analytics

bio-long-read-sequencing-nanopore-methylation

Calls DNA methylation from Oxford Nanopore sequencing data using signal-level analysis. Use when detecting 5mC or 6mA modifications directly from nanopore reads without bisulfite conversion.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-long-read-sequencing-nanopore-methylation --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/bio-long-read-sequencing-nanopore-methylation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

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: methylKit 1.28+, minimap2 2.26+, samtools 1.19+ Before using code patterns, verify installed versions match. If versions differ: - 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. # Nanopore Methylation Calling **"Call methylation from my Nanopore reads"** → Extract 5mC/6mA modification probabilities from basecalled reads and summarize per-site methylation frequencies. - CLI: `modkit pileup aligned.bam methylation.bed --ref ref.fa` ## Modern Workflow (modkit) ONT's modkit is the recommended tool for methylation analysis from basecalled data. ### Extract Methylation from BAM ```bash # Assumes BAM has MM/ML tags from dorado basecalling modkit pileup input.bam methylation.bed \ --ref reference.fa \ --cpg \ --combine-strands ``` ### Output Format ``` # bedMethyl format chr1 1000 1001 . 10 + 1000 1001 0,0,0 10 80.5 # Columns: chrom, start, end, name, score, strand, thickStart, thickEnd, # itemRgb, coverage, percent_modified ``` ## Basecalling with Methylation ``

What's inside
Steps it walks through
  1. Version Compatibility
  2. Modern Workflow (modkit)
  3. Extract Methylation from BAM
  4. Output Format
  5. Basecalling with Methylation
  6. Region-Specific Analysis
  7. Sample Summary
  8. Differential Methylation
  9. Quality Considerations
  10. Related Skills
Ships with 2 files
  • examples/modkit_methylation.sh
  • usage-guide.md
Commands it runs
Assumes BAM has MM/ML tags from dorado basecalling
modkit pileup input.bam methylation.bed \
Dorado basecalling with 5mC model
dorado basecaller dna_r10.4.1_e8.2_400bps_sup@v4.2.0 \
pod5_dir/ \
Index and align
samtools fastq calls.bam | \
minimap2 -ax map-ont -y reference.fa - | \
samtools sort -o aligned.bam
samtools index aligned.bam
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-long-read-sequencing-nanopore-methylation skill do?

Calls DNA methylation from Oxford Nanopore sequencing data using signal-level analysis. Use when detecting 5mC or 6mA modifications directly from nanopore reads without bisulfite conversion.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-long-read-sequencing-nanopore-methylation --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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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