DepMap Documentation

Datasets
Mutation Copy Number Expression Fusions Proteomics Methylation CRISPR: Knockout Gene Mapping & Cancer Driver Annotation Model Authentication for Datasets Growth Rate
Models
Model Relationships MSI, Ploidy & Mutational Burden
Glossary of Terms API
Endpoints Modifiers
Cell Model Passports Project Score Genomics of Drug Sensitivity in Cancer Data Usage Policy FAQ

Project Score

Project Score enables scientists to explore the CRISPR Knockout data using intuitive and interactive interfaces.

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.

Documentation

Data Generation & Processing: Details of how the CRISPR data was collected and processed.

Link: CRISPR: WG Drop-out

Definitions & Terms: Find definitions for terms used by Project Score and across DepMap resources.

Link: Glossary of Terms

Frequently asked questions: Find answers to common questions.

Link: FAQ