depmap

Query the Cancer Dependency Map for gene dependency scores and drug sensitivity data.

13|3|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/tassiovale/claude-code-kit --skill depmap-tassiovale
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: depmap
Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/depmap
Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill depmap-tassiovale

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, numpy, scipy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies querying the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores, drug sensitivity data, and gene effect profiles, aiding in identifying cancer-specific vulnerabilities and validating oncology drug targets.

Core Features & Use Cases

  • Dependency Scores: Access gene dependency scores using CRISPR Chronos, RNAi DEMETER2, and gene effect profiles.
  • Cell Line Annotations: Retrieve information about cell lines, including unique identifiers, cancer types, and tissue lineages.
  • API Access: Utilize the DepMap API for advanced queries and analysis.
  • Data Analysis: Perform various analyses like target validation, biomarker discovery, synthetic lethality screening, and compound sensitivity analysis.
  • Use Case: Use this Skill to analyze the dependency scores of a specific gene in various cancer cell lines to identify potential therapeutic targets.

Quick Start

Query the gene dependency scores for the gene 'KRAS' in the dataset 'Chronos_Combined'.

Frequently Asked Questions about depmap

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

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

To query gene dependency scores using CRISPR Chronos data, you can access the Cancer Dependency Map (DepMap) to retrieve gene effect profiles and dependency scores for specific genes like KRAS across various cancer cell lines.

How do I find drug sensitivity data for biomarker discovery in cancer research?

You can find drug sensitivity data for biomarker discovery by querying the DepMap portal, which provides compound sensitivity analysis and comprehensive cell line annotations including cancer types and tissue lineages.

Can I perform synthetic lethality screening using DepMap gene effect profiles and Python?

Yes, you can perform synthetic lethality screening using DepMap gene effect profiles. The process requires Python libraries including requests, pandas, numpy, and scipy to analyze the dependency scores.

What's the best way to validate oncology drug targets using cell line dependency scores?

The best way to validate oncology drug targets using cell line dependency scores is by analyzing CRISPR Chronos and RNAi DEMETER2 datasets in DepMap to identify cancer-specific vulnerabilities.

Does querying the DepMap API require specific Python dependencies for data analysis?

Querying the DepMap API requires Python dependencies including requests, pandas, numpy, and scipy to perform target validation, biomarker discovery, and compound sensitivity analysis.

What are the limitations of using RNAi DEMETER2 vs CRISPR Chronos for target validation?

Limitations between RNAi DEMETER2 and CRISPR Chronos for target validation involve differing gene effect profiles. Both datasets are accessible via the DepMap API to cross-reference dependency scores and account for screening artifacts.

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