depmap

Query DepMap Chronos CRISPR scores and gene effects for cancer cell lines.

94|11|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/swaruplab/operon --skill depmap-swaruplab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: depmap
Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/depmap
Command: npx skills add https://github.com/swaruplab/operon --skill depmap-swaruplab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

DepMap provides comprehensive gene dependency and drug sensitivity data across hundreds of cancer cell lines; this skill helps researchers quickly query and interpret Chronos CRISPR scores, gene effects, and biomarkers to identify vulnerabilities and validate targets.

Core Features & Use Cases

  • Query Chronos CRISPR_gene_effect scores across cell lines
  • Retrieve DepMap sample_info and cell line metadata
  • Identify selective dependencies and potential synthetic lethal partners
  • Cross-reference with mutation and CNA data for biomarker discovery
  • Use in workflows for target validation and compound sensitivity analyses

Quick Start

Query Chronos gene effect scores for a target gene across all DepMap cell lines.

Frequently Asked Questions about depmap

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

FAQPage Schema
How do I query DepMap Chronos CRISPR scores to identify cancer cell line gene dependencies?

To identify cancer cell line gene dependencies, query DepMap data for Chronos CRISPR scores using Python with requests and pandas to fetch, merge, and analyze the gene effect score matrices across hundreds of cancer cell lines.

What is synthetic lethal exploration and how does DepMap gene effect data support it?

Synthetic lethal exploration identifies selective gene dependencies where cancer cells die without partner genes. DepMap Chronos CRISPR scores reveal these vulnerabilities across lineages, enabling target validation and biomarker discovery for specific cancer types.

Can I cross-reference DepMap drug sensitivity data with mutation and CNA data for biomarker discovery?

Yes, you can cross-reference DepMap drug sensitivity data with mutation and CNA data. This requires local data handling with Python to merge cell line metadata and score matrices, enabling compound sensitivity analyses and biomarker discovery workflows.

Do I need Python and pandas to retrieve DepMap sample info and cell line metadata?

Yes, retrieving DepMap sample info and cell line metadata requires Python with requests and pandas libraries. This environment allows you to access DepMap endpoints, fetch the data locally, and merge it with Chronos gene effect scores for analysis.

What are the limitations of using DepMap Chronos scores for target validation across cancer types?

A limitation of using DepMap Chronos scores is that analysis requires local data handling to fetch and merge large score matrices. Additionally, dependency data is constrained to available cancer cell lines, which may not fully represent all tumor heterogeneity across diverse cancer types.