Agent skill

bio-workflows-somatic-variant-pipeline

End-to-end somatic variant calling from tumor-normal paired samples using Mutect2 or Strelka2. Covers preprocessing, variant calling, filtering, and annotation for cancer genomics. Use when calling somatic mutations from tumor-normal pairs.

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

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

Facts
Files in the skill folder: 3
SKILL.md size: 9 KB
Bundled scripts: yes
Path: skills/bioskills/somatic-variant-pipeline/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: CNVkit 0.9+, Ensembl VEP 111+, GATK 4.5+, SnpEff 5.2+, bcftools 1.19+, picard 3.1+ 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. # Somatic Variant Pipeline **"Call somatic mutations from my tumor-normal pair"** → Orchestrate alignment, Mutect2 somatic calling, contamination filtering, variant annotation (Funcotator/VEP), TMB calculation, and mutational signature analysis. Complete workflow for calling somatic mutations from tumor-normal paired samples. ## Pipeline Overview ``` Tumor BAM + Normal BAM │ ├── Preprocessing (if needed) │ └── MarkDuplicates, BQSR │ ├── Variant Calling │ ├── Mutect2 (GATK) - SNVs + indels │ └── Strelka2 - SNVs + indels (faster) │ ├── Filtering │ ├── FilterMutectCalls │ ├── Contamination estimation │ └── Orientation bias filtering │ ├── Annotation │ ├── Funcotator / VEP │ └── Cancer-specific databases │ └── Output: Filtered somatic VCF ``` ## Mute

What's inside
Steps it walks through
  1. Version Compatibility
  2. Pipeline Overview
  3. Mutect2 Workflow (GATK)
  4. Step 1: Panel of Normals (Optional but Recommended)
  5. Step 2: Call Somatic Variants
  6. Step 3: Learn Orientation Bias
  7. Step 4: Calculate Contamination
  8. Step 5: Filter Variants
  9. Strelka2 Workflow (Faster Alternative)
  10. Annotation
  11. Funcotator (GATK)
  12. VEP with Cancer Databases
  13. Complete Pipeline Script
  14. Tumor-Only Mode
Ships with 2 files
  • examples/run_mutect2.sh
  • usage-guide.md
Commands it runs
Create PON from multiple normal samples
for normal in normal1.bam normal2.bam normal3.bam; do
gatk Mutect2 \
done
Combine into PON
gatk GenomicsDBImport \
gatk CreateSomaticPanelOfNormals \
gatk LearnReadOrientationModel \
gatk GetPileupSummaries \
gatk CalculateContamination \
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About this skill
What does the bio-workflows-somatic-variant-pipeline skill do?

End-to-end somatic variant calling from tumor-normal paired samples using Mutect2 or Strelka2. Covers preprocessing, variant calling, filtering, and annotation for cancer genomics. Use when calling somatic mutations from tumor-normal pairs.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill somatic-variant-pipeline --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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