depmap

Query DepMap for gene dependency scores and drug sensitivity data.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill depmap-felixboehm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: depmap
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/depmap
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill depmap-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps researchers and drug developers identify genetic vulnerabilities in cancer cell lines, accelerating the discovery of new cancer therapies.

Core Features & Use Cases

  • Gene Dependency Analysis: Query the Cancer Dependency Map (DepMap) for gene dependency scores (CRISPR Chronos) across hundreds of cancer cell lines.
  • Biomarker Discovery: Identify genomic features that predict sensitivity to gene knockouts or drug treatments.
  • Synthetic Lethality: Find pairs of genes where the loss of one is tolerated, but the loss of both is lethal, pointing to targeted therapy opportunities.
  • Use Case: A researcher wants to find out if a specific gene, like KRAS, is essential for the survival of lung cancer cell lines. They can use this skill to query DepMap data and identify lung cancer cell lines where KRAS knockout leads to a significant dependency score.

Quick Start

Use the depmap skill to find genes that lung cancer cell lines are selectively dependent on.

Frequently Asked Questions about depmap

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find gene dependency scores for specific cancer cell lines using CRISPR data?

To find gene dependency scores, query the Cancer Dependency Map for CRISPR Chronos gene effect profiles across hundreds of cancer cell lines. This reveals specific genetic vulnerabilities and gene knockouts essential for survival in targeted cancer types.

What is synthetic lethality and how can I identify synthetic lethal gene pairs for cancer therapy?

Synthetic lethality occurs when simultaneous loss of two genes is lethal to a cancer cell, while losing either alone is tolerated. Identify these targeted therapy opportunities by analyzing gene dependency profiles and drug sensitivity data in the DepMap dataset.

Can I use PRISM assay data to discover biomarkers predicting drug sensitivity in cancer cell lines?

Yes, you can use PRISM assay data to discover predictive biomarkers by querying drug sensitivity data alongside genomic features. This helps identify specific cancer vulnerabilities and genomic markers predicting treatment response across various cancer cell lines.

How do I validate oncology drug targets using cancer dependency mapping?

Validate oncology drug targets by querying dependency mapping data for gene effect profiles and drug sensitivity scores across cancer cell lines. This confirms whether knocking out a specific target gene significantly reduces survival in your cancer type of interest.

Does this approach work for identifying dependencies in specific cancer types like lung cancer?

Yes, querying the Cancer Dependency Map works for identifying dependencies in specific cancer types like lung cancer. Filter cell lines by lineage to find genes where knockout leads to a significant dependency score in your targeted cancer type.