JUMP-Cell Painting Consortium begins data release! Ardigen Supporting Partner added

Thank you to all involved!

As this three year project comes to a close, the whole project team wants to extend a warm thank you to all involved: more than a hundred scientists worked in nine workstreams to design, execute, and share this dataset. It took expertise across cell biology, chemistry, data science, and computational infrastructure. The expertise, energy, and conscientiousness yielded this beautiful dataset for the community to explore for years to come.

Thanks to the Mass Life Sciences Center (MLSC) for the grant that sparked this Consortium and funded some of our work!

Where is the data?

Notebooks and instructions to work with the datasets are available at  https://github.com/jump-cellpainting/datasets. Look out for more updates in the coming weeks as we roll out additional batches of data and announce an upcoming bioRxiv preprint with further details about the data.

Welcome to Ardigen, new Supporting Partner providing the JUMP-CP Data Explorer web application

We are happy to welcome Ardigen as a Supporting Partner! 

Ardigen aims to improve the predictive power of the JUMP-CP data by expanding the applicability domain of machine learning models that predict assay activity based on Cell Painting images. 

Another important contribution of Ardigen is to facilitate JUMP-CP data exploration by providing the free, public JUMP-CP Data Explorer, part of Ardigen's phenAID platform. The JUMP-CP Data Explorer allows scientists to easily search for similarities between various phenotypes and the corresponding genetic (in development) and chemical (available now) perturbations.

Coming soon! Another portal to explore the data and images

Spring Discovery is building a free, public portal to allow users of the JUMP-CP dataset to explore the data, metadata, and images using their MegaMap tools and features.

What’s next? The next phase of the JUMP Consortium!

The Broad will apply again to the funding mechanism that launched JUMP (Massachusetts Life Sciences Center, MLSC), this time shifting to creating a first-of-its-kind dataset to predict liver toxicity. 

We already have 10 Partners committed from the pharmaceutical and agrochemical industries plus 4 Tech Partners providing useful technology to the project, including complex cell/tissue models and informatics.

For more information, please see our two-pager about the project

If you’re interested in joining please contact Anne Carpenter ASAP (anne@broadinstitute.org): the grant application must be finalized with all partners by ~Nov 10.