# GeneScope

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Xiaochen Fan](https://cerebralvalley.ai/u/irenefan)
- **GitHub:** https://github.com/ifanirene/gene-program-interpreter
- **Demo video:** https://youtu.be/51G7lQjjJHc
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/228

The Gene Program Interpreter is a Claude Skill for context-aware interpretation of gene programs from Perturb-seq and single-cell data. Every experiment yields dozens of programs, and today interpreting one takes days of manual literature review — while enrichment tools give generic labels and LLM-only tools sound plausible without being grounded in the specific biological context. GPI injects that context — cell type, tissue, conditions, and, for Perturb-seq, the supporting regulators, perturbation effects, gene weights, and direction — throughout the workflow, so each program is read as a context-specific regulatory response rather than a generic gene list. It combines deterministic database evidence (enrichment, interactions), one Claude Agent SDK literature agent per program searching over MCP, a deterministic verifier that confirms every citation resolves to a real paper, and Anthropic Batch-API annotation — into an auditable, interactive HTML report. Across recent runs it interprets a program for about half a dollar and a few minutes of autonomous research, with every verified citation that you can read directly. Packaging it as a Skill makes the workflow plug-and-play and agent-native. Any scientist could use their Claude to refine context interactively on their own data, and generate publication-ready resource page.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/228. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt