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In addition to JUMP Partners, JUMP Collaborators worked on limited parts of the project as a collaborative effort, to develop technologies, reagents, and methods. Administrative: Pistoia Alliance Academic: Umeå University Stanford Machine Learning Group

The Carpenter lab and Schreiber lab at the Broad Institute of MIT and Harvard developed Cell Painting, a microscopy assay that generates images that reflect cell response to treatments such as drug or genetic perturbations, in high-throughput (at a scale of 100,000+ perturbations). The Carpenter lab...

Data is released publicly! Find the data and details at our JUMP Cell Painting Datasets landing page on Github. If you'd like to take a look at the data interactively, Ardigen provides the free, public JUMP-CP Data Explorer to search for similarities between various phenotypes and the corresponding...

Frequently Asked Questions (FAQ) Is it too late to join? When will the data be publicly available? Is it too late to join? The Consortium has finished its work optimizing, producing data, and publicly releasing it. Join our email list (below) to hear news on options to join the next phase of the...