Move fast and learn things
We publish everything from ideas and perspectives to data, methods, protocols, and even research we put on ice.
To edit cell-walled _C. reinhardtii_, you must first digest the wall to deliver Cas9 RNPs and donor DNA. We tried the off-the-shelf enzyme Alcalase and found that it digested walls, but sharply reduced viability, and we recovered no CRISPR knock-ins. A one-time cautionary result.
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Investigating how phylogeny, local pattern matching, and sequence statistics contribute to the geometric representations of genes in Evo 2.
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Most guided-generation methods optimize one or two properties, but a usable protein has to clear several bars at once. We steered fluorescent protein generation with predictors of excitation and emission peaks and of brightness. Guided designs came closer than filtered ones.
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We've developed a framework bridging information theory and frequentist statistics. This synthesis of classical results maps any discrete estimator that can be represented as a Kullback–Leibler divergence to a G-test, providing parametric, scalable evidence tests.
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Imaging _C._ _elegans_ in 96-well plates enables large-scale screens, but raising worms in small wells isn't straightforward. We developed and optimized a broadly applicable protocol that produces flat agar surfaces for automated culture and microscopy of small animals.
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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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