Move fast and learn things
We publish everything from ideas and perspectives to data, methods, protocols, and even research we put on ice.
Data Hub is a lightweight, open-source system that captures data from lab instruments and makes each run findable and reusable through three interfaces — a web app, a REST API, and a Model Context Protocol (MCP) server for AI agents.
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We're applying Raman spectroscopy to high-throughput biology, and we’ve found that realizing its potential is difficult in practice. We want feedback — positive, negative, and inconclusive — from people who've used these techniques.
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We developed a workflow to run the Cayman His-tag detection ELISA kit on the Opentrons OT-2 liquid-handling robot. We encourage others to adapt these resources for other kits.
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We applied a mechanistic interpretability approach to neural networks trained on a large yeast genotype–phenotype dataset. This allowed us to uncover novel evidence of environmentally mediated global epistasis in these data.
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Agentic PyMOL is an MCP server that gives language-model agents discoverable, two-way access to a user's live PyMOL session, letting agents both manipulate molecular visualizations and read structured analytical results back out.
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Mining biology for therapeutically active small molecules is a promising path in drug discovery, but practical challenges make it laborious. We think that Raman spectroscopy can mitigate some of the challenges and find bioactive compounds faster.
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