depmap

is a Data Source.

The Cancer Dependency Map (DepMap) is a genome-wide pooled CRISPR-Cas9 knockout and small molecule screen of cancer cell lines. The goal of DepMap is to systematically identify cancer dependencies and the biomarkers that predict them. DepMap provides open access to key cancer dependencies, analytical tools, and visualization resources for the research community.

Domains

biomedical, genomics, health, drug discovery, precision medicine

License

DepMap Terms of Use

Homepage

depmap

Repository

GitHub

Infores ID

infores:depmap

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
depmap.portal DepMap Portal portal GraphicalInterface http Web portal for exploring cancer depen...
depmap.data_explorer DepMap Data Explorer interactive GraphicalInterface http Interactive tool for exploring relati...
depmap.cell_line_selector DepMap Cell Line Selector cell_line_selector GraphicalInterface http Tool for exploring and selecting canc...
depmap.context_explorer DepMap Context Explorer context GraphicalInterface http Context Explorer tool for exploring e...
depmap.target_discovery DepMap Target Discovery tda GraphicalInterface http Target Discovery App for identifying ...
depmap.downloads DepMap Data Downloads data_page Product mixed Complete collection of DepMap dataset...
depmap.crispr_gene_effects DepMap CRISPR Gene Effects (Chronos) data_page Product csv CRISPR-Cas9 knockout screening data p...
depmap.drug_sensitivity DepMap Drug Sensitivity Data data_page Product csv Drug screening data from various plat...
depmap.expression_data DepMap Expression Data data_page Product csv Gene expression data (RNA-seq) for De...
depmap.copy_number DepMap Copy Number Data data_page Product csv Copy number variation data for DepMap...
depmap.mutations DepMap Mutation Data data_page Product csv Mutation data for DepMap cell lines
depmap.proteomics DepMap Proteomics Data data_page Product csv Proteomics data for DepMap cell lines
depmap.metabolomics DepMap Metabolomics Data data_page Product csv Metabolomics data for DepMap cell lines
depmap.cell_line_info DepMap Cell Line Information data_page Product csv Comprehensive metadata and annotation...
From other Resources
ID Name URL Category Format Description
bioteque.embeddings Bioteque Embeddings embeddings Product ❔ Network embeddings of the Bioteque gr...
obo-db-ingest.depmap.tsv depmap Nodes TSV depmap.tsv (18.3 KB) Product tsv depmap Nodes TSV

Details

DepMap

The Cancer Dependency Map (DepMap) is a comprehensive effort to systematically identify cancer dependencies and the biomarkers that predict them. As a collaborative initiative led by the Broad Institute, DepMap aims to accelerate the development of precision treatments for cancer by providing open access to key cancer dependency data, analytical tools, and visualization resources.

About DepMap

DepMap uses genome-wide pooled CRISPR-Cas9 knockout screens and small molecule screens across thousands of genomically characterized cancer cell lines to identify dependencies that are specific to tumor subsets. These dependencies represent potential therapeutic targets, as they are genes or pathways that cancer cells rely on for survival but that normal cells can tolerate losing.

Key Features

  • Comprehensive Screening: Over 2,000 cancer cell lines representing diverse cancer types and molecular contexts
  • Multi-modal Data: Integration of CRISPR screens, drug screens, and omics data (genomics, transcriptomics, proteomics, metabolomics)
  • Quarterly Releases: Regular data updates with new cell lines, assays, and analytical improvements
  • Open Access: All data and tools are freely available to the research community

Data Types

CRISPR Dependency Data

  • Gene Effects: Processed using the Chronos algorithm to correct for copy number effects
  • Cell Line Coverage: 2,000+ cell lines spanning multiple cancer types
  • Gene Coverage: Genome-wide screening targeting ~18,000 genes

Drug Sensitivity Data

  • Platforms: Integration of data from GDSC, PRISM, and CTD2 screening efforts
  • Compound Coverage: Thousands of compounds including FDA-approved drugs and experimental molecules
  • Dose-Response: Comprehensive dose-response curves for accurate sensitivity measurements

Omics Data

  • Expression: RNA-seq data for all cell lines
  • Mutations: Comprehensive mutation calling from whole-exome sequencing
  • Copy Number: High-resolution copy number profiles
  • Proteomics: Mass spectrometry-based protein abundance measurements
  • Metabolomics: Small molecule metabolite profiles

Tools and Interfaces

Data Explorer

Interactive visualization tool allowing users to explore relationships between different data types, compare biomarkers, and identify patterns across cell lines.

Cell Line Selector

Specialized tool for identifying and selecting cell lines based on specific criteria such as lineage, mutations, expression levels, or dependency profiles.

Target Discovery App

Advanced analytics platform for identifying the most selective and predictable gene dependencies, helping prioritize potential therapeutic targets.

Context Explorer

Tool for exploring genetic dependencies and compound sensitivities within specific cancer contexts, lineages, and molecular subtypes.

Applications

DepMap data enables researchers to:

  • Identify novel therapeutic targets specific to cancer subtypes
  • Discover biomarkers that predict drug sensitivity
  • Understand the genetic basis of cancer dependencies
  • Prioritize compounds for further development
  • Design combination therapy strategies

Data Access

All DepMap data is freely available through:

  • Interactive Portal: Web-based tools for data exploration and visualization
  • Bulk Downloads: Complete datasets in standard formats (CSV, TSV)
  • Quarterly Releases: Regular data updates with version control
  • Documentation: Comprehensive guides and tutorials for data usage

Citation

When using DepMap data, please cite the foundational publications and acknowledge the specific data release version used in your research.

Is this information incorrect or incomplete? Request an update.

Created: October 09, 2025 | Last modified: October 09, 2025