Project Score database

Genetic screens to identify cancer dependencies and drug targets

We are performing systematic genome-scale CRISPR-Cas9 drop-out screens in a large number of highly-annotated cancer models to identify genes required for cell fitness in defined molecular contexts. These results are used to identify dependencies in cancer cells and could inform the development of new precision cancer medicines. 

Genetic screens are a powerful approach to investigate gene function and can be used to identify new candidate cancer drug targets. In Project Score, we are performing systematic genome-scale CRISPR-Cas9 drop-out screens in a large number of highly-annotated cancer models to identify genes required for cell fitness in defined molecular contexts. These results are used to identify dependencies in cancer cells and could inform the development of new precision cancer medicines. Furthermore, they are a rich resource with applications in basic cell biology, genome engineering and human genetics. These datasets will continue to grow as more data are generated.

The Project Score database enables scientists to explore these data using intuitive and interactive interfaces. Project Score is part of the Cancer Dependency Map at the Sanger, which aims to identify all dependencies in every cancer cell.

Project Score Guide Videos:

Project Score Cell Line Query

Further information

License and Citation

Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services.

Data Use Statement

The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk.