alterlab-depmap

Analyzes gene dependencies across cancer cell lines using the DepMap API.

58|9|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-depmap
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alterlab-depmap
Source: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/databases/alterlab-depmap
Command: npx skills add https://github.com/AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-depmap

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

DepMap provides a comprehensive view of gene dependencies across cancer cell lines, enabling researchers to identify potential drug targets and synthetic lethality relationships.

Core Features & Use Cases

  • DepMap API access for gene dependency scores (Chronos) across hundreds of cell lines.
  • Target validation, biomarker discovery, and biomarker-guided drug target identification across cancer types.
  • Data integration guidance with sample_info and mutation data to correlate dependencies with genomic features.

Quick Start

Analyze a gene of interest across DepMap cell lines to identify selective dependencies and potential synthetic-lethal partners.

Frequently Asked Questions about alterlab-depmap

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

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

To identify cancer gene dependencies, this Skill fetches and parses Chronos dependency scores across hundreds of cancer cell lines via the DepMap API. It processes local datasets to help you analyze gene vulnerabilities for target validation.

Can I explore synthetic lethality relationships across cancer cell lines with DepMap data?

Yes, you can explore synthetic lethality by fetching and analyzing dependency scores across cancer cell lines using the DepMap API. The Skill guides local data processing to identify selective gene dependencies and potential synthetic-lethal partners.

What data is needed to perform biomarker-driven drug target discovery with DepMap?

Biomarker-driven drug target discovery requires Chronos datasets, DepMap API access, and local data-processing capabilities. You also integrate sample_info and mutation data to correlate identified gene dependencies with genomic biomarkers.

How do I correlate gene dependency scores with genomic mutations in DepMap?

You correlate gene dependencies by integrating DepMap API dependency scores with sample_info and mutation data. The Skill guides local data-processing steps to parse these datasets and map genomic features to dependency scores.

Does this approach work for finding selective dependencies across different cancer types?

Yes, this approach works for identifying selective dependencies across different cancer types by analyzing gene dependency scores across hundreds of cell lines. It applies Chronos datasets to validate targets and discover biomarker-guided vulnerabilities.