AutomationResearch InfrastructureFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
JO

joint-calling

Maintainer FreedomIntelligence · Last updated April 1, 2026

joint-calling.

OpenClawNanoClawAnalysisReproductionjoint-callingopenclaw medical skillsadditional scientific toolsjoint

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/joint-calling

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Call variants jointly across multiple samples for improved accuracy and consistent genotyping.
  • gatk HaplotypeCaller \ -R reference.fa \ -I sample1.bam \ -O sample1.g.vcf.gz \ -ERC GVCF.

Source Doc

Excerpt From SKILL.md

Why Joint Calling?

  • Improved sensitivity - Leverage information across samples
  • Consistent genotyping - Same sites called across all samples
  • VQSR eligible - Requires cohort for machine learning filtering
  • Population analysis - Allele frequencies across cohort

With intervals (faster)

gatk HaplotypeCaller
-R reference.fa
-I sample1.bam
-O sample1.g.vcf.gz
-ERC GVCF
-L intervals.bed


## Process all samples

for bam in *.bam; do
    sample=$(basename $bam .bam)
    gatk HaplotypeCaller \
        -R reference.fa \
        -I $bam \
        -O ${sample}.g.vcf.gz \
        -ERC GVCF &
done
wait

Use cases

  • Use joint-calling in research workflows aligned with this subject area.
  • Follow the upstream documentation for the full working procedure.

Not for

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

Upstream Related Skills

  • variant-calling/gatk-variant-calling - Single-sample calling
  • variant-calling/filtering-best-practices - VQSR and hard filtering
  • population-genetics/plink-basics - Population analysis of joint calls
  • workflows/fastq-to-variants - End-to-end germline pipeline

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