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copy-number-cnvkit-analysis - Call copy-number variants with CNVkit

Detect relative somatic and germline copy-number variants from targeted, exome, and whole-genome sequencing using CNVkit read-depth analysis.

Tags

Updated: 2026-10-01

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Normalize read-depth coverage
  • Build pooled normal references
  • Segment log2-ratio profiles
  • Call copy-number states
  • Apply purity-aware integer calling
  • Reconcile depth-based calls

Inputs

  • Tumor BAM files
  • Normal BAM files
  • Target BED files
  • Reference FASTA files
  • Gene annotation files
  • Access BED files
  • Pooled reference CNN files
  • Tumor VCF files
  • Tumor purity values
  • Ploidy values

Outputs

  • CNVkit reference CNN files
  • Coverage CNN files
  • Copy-ratio CNR files
  • Segment CNS files
  • Copy-number call files
  • Scatter plots
  • Diagram plots

Requirements

  • CNVkit 0.9.10 or later
  • samtools 1.19 or later
  • bedtools 2.31 or later
  • Python 3.10 or later
  • R 4.3 or later
  • DNAcopy 1.76 or later
  • pomegranate for HMM segmentation
  • Bioconductor DNAcopy for CBS segmentation

Source

  • Spec: SKILL.md

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CNV detection
copy-number analysis
CNVkit
read-depth analysis
targeted sequencing
exome sequencing
whole-genome sequencing
somatic variants
germline variants
Normalize read-depth coverage
Build pooled normal references
Segment log2-ratio profiles
Call copy-number states
Tumor BAM files
Normal BAM files
Target BED files
CNVkit reference CNN files
Coverage CNN files
Copy-ratio CNR files