Explore the Cancer Dependency Map

Explore the Cancer Dependency Map

Welcome to the DepMap Portal!

The goal of the Dependency Map (DepMap) portal is to enable the research community to make discoveries related to cancer vulnerabilities by providing free and timely access to the datasets, visualizations, and analysis tools that are being used by the Cancer Dependency Map Project at the Broad Institute.

The goal of the Cancer Dependency Map Project is to systematically catalog and identify biomarkers of genetic vulnerabilities and drug sensitivities in hundreds of cancer models and tumors, to accelerate the development of precision treatments. Read more about it here.

As part of our commitment to Open Science, we make all the data generated by the DepMap Project rapidly available to the public under the permissive CC BY 4.0 license on a quarterly basis and pre-publication. Because this portal also hosts data not generated by the DepMap Project, please be sure to review the data policy for each dataset prior to use. New features are added to the portal quarterly as well.

This portal provides easy access to harmonized data created at the Broad Institute and elsewhere, including:

The portal is being developed by the Cancer Data Science group in collaboration with the DepMap team at the Cancer Program of the Broad Institute of Harvard and MIT.

Share your comments, request features or just show your love — contact us at depmap@broadinstitute.org.

Use this portal to:

UNDERSTAND Dependency profiles at genome-scale across more than 500 human cell lines

FIND Detailed genetic and pharmacologic characterization of over 1000 cell lines

IDENTIFY Genetic drivers that have functional importance as potential drug targets

SEARCH For cell line models that best represent your research interests

EXPORT Presentation-quality figures

We wouldn’t be able to build DepMap without the help of the many collaborators and partners who have already shared their cell lines. If you are interested in identifying cancer vulnerabilities in your favorite cell lines, please consider sharing your valuable cell line models and allowing us to generate data which will be available to the entire community.


Feb 6, 2020
Jan 21, 2020
Jan 13, 2020
  • 19Q4 CCLE_fusions and CCLE_fusions_unfiltered were swapped, this has been fixed. This also affects Internal and DMC.

Dec 19, 2019
  • Cell line pages now have Cellosaurus links, COSMIC links, STR profiles, and cell line aliases where applicable.

  • Compound pages have been updated to include a new data availability tile, as well as a new compound response vs. expression correlation tile.