bio-methylation-based-detection
Analyzes cfDNA methylation patterns for cancer detection using cfMeDIP-seq or bisulfite sequencing with MethylDackel. Identifies cancer-specific methylation signatures and performs tissue-of-origin deconvolution. Use when using methylation biomarkers for early cancer detection or minimal residual disease.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-methylation-based-detection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: Bismark 0.24+, numpy 1.26+, pandas 2.2+, pysam 0.22+, scipy 1.12+, statsmodels 0.14+ 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-Based Detection **"Detect cancer from cfDNA methylation patterns"** → Analyze cell-free DNA methylation for multi-cancer early detection and tissue-of-origin classification using bisulfite or enzymatic conversion. - CLI: `MethylDackel extract` for methylation calling from cfDNA bisulfite data Analyze cfDNA methylation for cancer detection and tissue-of-origin analysis. ## Methods Overview | Method | Description | cfDNA Input | |--------|-------------|-------------| | cfMeDIP-seq | Enrichment-based, good for low input | >= 5 ng | | Bisulfite-seq | Single-base resolution | >= 10 ng | | EM-seq | Enzymatic, less degradation | >= 10 ng | ## MethylDackel Pip
- Version Compatibility
- Methods Overview
- MethylDackel Pipeline
- Python Implementation
- DMR Detection
- Tissue Deconvolution
- MCED Panel Analysis
- cfMeDIP-seq Analysis
- Related Skills
Extract methylation from bisulfite BAM MethylDackel extract \ reference.fa \ sample_bismark.bam \ Merge C and G strand calls MethylDackel mergeContext \ sample_methylation
What does the bio-methylation-based-detection skill do?
Analyzes cfDNA methylation patterns for cancer detection using cfMeDIP-seq or bisulfite sequencing with MethylDackel. Identifies cancer-specific methylation signatures and performs tissue-of-origin deconvolution. Use when using methylation biomarkers for early cancer detection or minimal residual disease.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-methylation-based-detection --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.