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biomni

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Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.

When to use

• **CRISPR screening** - Design screens, prioritize genes, analyze knockout effects
• **Single-cell RNA-seq** - Cell type annotation, differential expression, trajectory analysis
• **Drug discovery** - ADMET prediction, target identification, compound optimization
• **GWAS analysis** - Variant interpretation, causal gene identification, pathway enrichment
• **Clinical genomics** - Rare disease diagnosis, variant pathogenicity, phenotype-genotype mapping
• **Lab protocols** - Protocol optimization, literature synthesis, experimental design

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