depmap

Retrieve DepMap gene dependency and drug sensitivity signals for cancer cell lines.

4|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/shushuzn/Rairos --skill depmap-shushuzn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: depmap
Source: https://github.com/shushuzn/Rairos/tree/main/skills/depmap
Command: npx skills add https://github.com/shushuzn/Rairos --skill depmap-shushuzn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you identify gene dependencies and therapeutic vulnerabilities in cancer by leveraging DepMap dependency scores, drug sensitivity signals, and gene effect profiles.

Core Features & Use Cases

  • Cancer-selective dependency discovery: Determine which genes are more essential in specific cancer contexts using Chronos (CRISPR) gene effect scores and cell-line annotations.
  • Synthetic lethality and target validation: Compare dependency patterns between biomarker-defined mutant vs. wild-type cell lines to surface synthetic lethal partners and validate oncology targets.
  • Drug sensitivity & biomarker analysis: Link PRISM compound sensitivity outcomes with genomic features to prioritize predictive biomarkers for compound response.
  • Co-essentiality exploration: Compute correlated dependency profiles to find co-essential genes that may share pathways or complexes.

Quick Start

Ask the Skill to query DepMap for a gene's Chronos dependency scores across cancer cell lines and return the most likely cancer-selective vulnerabilities using cell-line metadata.

Frequently Asked Questions about depmap

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

FAQPage Schema
How do I find cancer-specific gene vulnerabilities using CRISPR dependency scores?

To find cancer-specific gene vulnerabilities, filter CRISPR Chronos gene effect scores across annotated cancer cell lines using threshold-based interpretation to pinpoint strong dependencies in specific oncology contexts.

Can I identify synthetic lethal gene partners by comparing mutant and wild-type cell lines?

Yes, you can identify synthetic lethal partners by comparing CRISPR dependency patterns between biomarker-defined mutant and wild-type cell lines to surface differential vulnerabilities and validate oncology targets.

What's the best way to link drug sensitivity data with genomic features for biomarker discovery?

Link PRISM compound sensitivity outcomes with genomic features across cancer cell lines to prioritize predictive biomarkers for compound response and validate therapeutic vulnerabilities.

Do I need the DepMap API or locally downloaded datasets to compute co-essentiality correlations?

You need either the DepMap API or locally downloaded datasets like CRISPRGeneEffect and sample_info to compute correlated dependency profiles and find co-essential genes sharing pathways or complexes.

What are the limitations of using threshold-based interpretation for DepMap dependency scores?

Threshold-based interpretation limits dependency strength analysis to predefined cutoffs, potentially missing subtle vulnerabilities or introducing noise from lower-quality CRISPR gene effect scores in specific cancer cell lines.