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variant-calling

Identify germline, somatic, and structural variants from BAM/CRAM sequencing data.

25|5|Updated Mar 22, 2026
Search Tags:#bioinformatics#genomics#vcf#somatic#variant-calling#germline
One-click install
npx skills add https://github.com/zongtingwei/Bioclaw_Skills_Hub --skill variant-calling
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: variant-calling
Source: https://github.com/zongtingwei/Bioclaw_Skills_Hub/tree/main/skills/genomics-and-variation/variant-calling
Command: npx skills add https://github.com/zongtingwei/Bioclaw_Skills_Hub --skill variant-calling

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides an end-to-end workflow for identifying, filtering, annotating, and interpreting small variants and structural variants from sequencing data, enabling robust discovery and downstream analysis.

Core Features & Use Cases

  • Germline, somatic, and structural variant discovery across whole-genome and targeted sequencing data.
  • Automated filtering and annotation to prioritize clinically or research-relevant variants.
  • Use Case: Researchers can run a complete variant-calling pipeline from BAM/CRAM to annotated VCFs for reporting or further interpretation.

Quick Start

Initiate a canonical variant-calling workflow starting from aligned reads to produce VCFs with basic annotations.

Frequently Asked Questions about variant-calling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify somatic and germline variants from BAM files?▼

Variant calling from CRAM inputs requires a defined workflow that processes aligned sequencing data against a reference genome, yielding VCF files with basic annotations for clinical or research interpretation.

What's the best way to discover structural variants from whole-genome sequencing data?▼

Structural variant discovery from whole-genome sequencing requires an automated workflow that applies filtering and annotation to prioritize clinically or research-relevant variants from aligned reads.

Does variant calling work with both clinical and research sequencing contexts?▼

Yes, variant calling supports both clinical and research contexts, processing whole-genome and targeted sequencing data to generate annotated VCF artifacts suitable for reporting and further interpretation.

Can I use truth sets or panels during the variant-calling workflow?▼

Yes, you can incorporate optional truth sets or panels alongside BAM/CRAM inputs and a reference genome to satisfy production-grade requirements, ensuring reproducible parameter logging and clear output artifacts.

How do I get annotated VCFs from aligned reads for downstream interpretation?▼

You obtain annotated VCFs by initiating a canonical variant-calling workflow that processes aligned reads, automatically filtering and annotating small and structural variants for reporting or further interpretation.

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