Data & ReproClinical MedicineFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
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bio-copy-number-cnvkit-analysis

Maintainer FreedomIntelligence · Last updated April 1, 2026

Detect copy number variants from targeted/exome sequencing using CNVkit. Supports tumor-normal pairs, tumor-only, and germline CNV calling. Use when detecting CNVs from WES or targeted panel sequencing data.

OpenClawNanoClawAnalysisReproductionbio-copy-number-cnvkit-analysis🧬 bioinformatics (gptomics bio-* suite)bioinformatics — clinical databases & variant analysisdetect

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-copy-number-cnvkit-analysis

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • CLI: cnvkit.py batch tumor.bam --normal normal.bam.
  • Detect copy number variants from my exome data" → Run a read-depth-based pipeline that normalizes on/off-target coverage against a reference, segments the log2 ratio profile, and calls gains/losses. CLI: cnvkit.py batch tumor.bam --normal normal.bam.
  • cnvkit.py batch tumor.bam \ --normal normal.bam \ --targets targets.bed \ --fasta reference.fa \ --output-reference my_reference.cnn \ --output-dir results/.

Source Doc

Excerpt From SKILL.md

Basic Workflow

Goal: Run the complete CNVkit pipeline on a tumor-normal pair to detect copy number variants.

Approach: Execute the batch command which wraps target/antitarget generation, coverage calculation, reference building, and segmentation into one step.


## Build Reference from Normal Samples

**Goal:** Create a robust reference from pooled normal samples, then run tumor samples against it.

**Approach:** Build a panel-of-normals reference first, then batch-process tumors using the pre-built reference.

```bash

## Step 1: Build reference from multiple normals (recommended)

cnvkit.py batch \
    --normal normal1.bam normal2.bam normal3.bam \
    --targets targets.bed \
    --fasta reference.fa \
    --output-reference pooled_reference.cnn

Use cases

  • Use when detecting CNVs from WES or targeted panel sequencing data.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • alignment-files/bam-statistics - QC of input BAMs
  • copy-number/cnv-visualization - Advanced plotting
  • copy-number/cnv-annotation - Gene-level annotation
  • copy-number/gatk-cnv - GATK alternative CNV caller
  • long-read-sequencing/structural-variants - Complementary SV calling

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