arxiv-database
This skill provides Python tools for searching and retrieving preprints from arXiv.org via its public Atom API. It supports keyword search,…
Maintainer FreedomIntelligence · Last updated April 1, 2026
Generate variant statistics, sample concordance, and quality metrics using bcftools stats and gtcheck. Use when evaluating variant quality, comparing samples, or summarizing VCF contents.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-vcf-statistics
Skill Snapshot
Source Doc
| Command | Purpose |
|---|---|
bcftools stats | Comprehensive variant statistics |
bcftools gtcheck | Sample concordance and relatedness |
bcftools query | Custom summaries |
Goal: Generate comprehensive variant statistics including counts, Ti/Tv ratio, and quality distributions.
Approach: Run bcftools stats and parse section-tagged output lines (SN, TSTV, AF, QUAL, DP).
"How many variants are in this VCF?" → Compute summary counts, substitution types, and quality distributions from variant records.
Output sections:
SN - Summary numbersTSTV - Transitions/transversionsSiS - Singleton statsAF - Allele frequency distributionQUAL - Quality distributionIDD - Indel distributionST - Substitution typesDP - Depth distributionRelated skills
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