GWAS sumstats analysis — seed

SkillAI & models

Lets your agent analyze GWAS summary statistics, finding significant variants and making a QQ plot report.

Use GWAS sumstats analysis — seed in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the GWAS sumstats analysis skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

GWAS sumstats analysis — seedStart free
About this skill

🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.

What this skill tells your AI

The instructions your AI receives, as published by clawbio/clawbio in skills/clawpathy-autoresearch/examples/demo_task/skill/SKILL.md and read by Ahel’s review.

Workflow

  1. Read the summary statistics file.
  2. Identify genome-wide significant lead variants.
  3. Compute the genomic inflation factor lambda.
  4. Produce a QQ plot under output/.
  5. Write a final summary JSON to output/summary.json with fields for lead count, lambda, and plot path.

Signals

GitHub stars
1k
Forks
279
Last commit
Sep 2026
Advanced
Item type
skill
Key
skill-clawbio
Source
github.com/clawbio/clawbio