depmap

Analyze DepMap CRISPR Chronos scores and gene-effect data for cancer cell line dependencies.

321|26|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/mkurman/tamux --skill depmap-mkurman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: depmap
Source: https://github.com/mkurman/tamux/tree/main/skills/scientific-skills/depmap
Command: npx skills add https://github.com/mkurman/tamux --skill depmap-mkurman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

DepMap data enables systematic identification of gene dependencies across cancer cell lines to guide target validation and mechanism discovery.

Core Features & Use Cases

  • Identify essential genes across cancer lineages using Chronos and gene-effect data to prioritize targets.
  • Explore synthetic lethality relationships and biomarker-driven dependencies for precision oncology.
  • Combine dependency scores with cell line metadata to stratify analyses by tissue type, lineage, and mutation status.

Quick Start

Query DepMap data to identify cancer cell line dependencies and potential drug targets across Chronos scores and gene effects.

Frequently Asked Questions about depmap

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

FAQPage Schema
How do I identify cancer cell line gene dependencies using DepMap Chronos scores?

To identify cancer cell line dependencies, analyze DepMap CRISPR Chronos gene-effect scores to systematically pinpoint essential genes across specific cancer lineages and prioritize potential therapeutic targets.

Can I stratify dependency scores by mutation status and tissue type for precision oncology?

Yes, you can stratify dependency scores by aligning cell line metadata, such as tissue type and mutation status, with gene-effect data to perform biomarker-driven dependency analyses for precision oncology.

What is the best way to explore synthetic lethality relationships in cancer cell lines?

Explore synthetic lethality relationships by applying dependency score analysis across Chronos, RNAi, and drug-sensitivity datasets to uncover potential biomarker-driven therapeutic targets in cancer cell lines.

How do I integrate copy-number data with DepMap gene-effect scores for target validation?

Integrate copy-number or mutation data with DepMap gene-effect scores by aligning cell line metadata with dependency datasets, enabling stratified analyses to validate potential cancer therapeutic targets.

Does the DepMap analysis support both RNAi and drug-sensitivity datasets for biomarker discovery?

Yes, DepMap analysis supports biomarker discovery by applying dependency score evaluation across Chronos, RNAi, and drug-sensitivity datasets to identify biomarker-driven dependencies and potential therapeutic targets.