279-X-Atlas/Orion: Genome-Scale Causal Biology
The paper introduces FiCS Perturb-seq, an innovative, industrialized platform designed to overcome challenges in scalability and consistency when generating large-scale perturbation data for biological research. This new method integrates chemical fixation, cryopreservation, and automation to produce high-quality, reproducible Perturb-seq datasets, which are essential for training next-generation biological foundation models that aim to predict causal genetic effects. The authors release a significant public resource, X-Atlas/Orion, the largest publicly available Perturb-seq atlas, which…
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