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I built Basecase, an AI-assisted genomic research workspace that connects natural-language questions directly to an interactive genome browser. The system handles disease, gene, variant, regulatory, conservation, transcript, genomic-range, and VCF-based queries using grounded biological evidence. Researchers need more than prose: answers become useful when genes, variants, ranges, and annotations remain inspectable and actionable in the browser. Basecase therefore supports linked loci, multiple selected regions, live reasoning summaries, evidence sources, precise variant anchors, and agent-generated annotation tracks. This matters because it creates a faster, more transparent workflow for moving from a biological question to evidence that can be independently examined.

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