depmap

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

Updated May 17, 2026
One-click install
npx skills add https://github.com/galeep/plugin-place --skill depmap-galeep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: depmap
Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-multi-omics/skills/depmap
Command: npx skills add https://github.com/galeep/plugin-place --skill depmap-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill helps users query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores, drug sensitivity data, and gene effect profiles, facilitating the identification of cancer-specific vulnerabilities and synthetic lethal interactions.

Core Features & Use Cases

  • Query DepMap: Retrieve gene dependency scores and drug sensitivity data from DepMap.
  • Identify Vulnerabilities: Determine cancer-specific vulnerabilities for targeted therapy.
  • Synthetic Lethality: Identify genes that are selectively essential when another gene is mutated/deleted.
  • Drug Sensitivity: Predict the response of cancer cell lines to compounds based on genomic features.
  • Use Case: For a lung cancer study, the skill can be used to find genes essential for survival in lung cancer cell lines and predict potential drug sensitivity.

Quick Start

Query the DepMap for cancer cell line dependency scores using the skill 'depmap'.

Frequently Asked Questions about depmap

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

FAQPage Schema
How do I find gene dependency scores for specific cancer cell lines?

To find gene dependency scores, query the Cancer Dependency Map to retrieve gene effect profiles for specific cancer cell lines. This identifies cancer-specific vulnerabilities and validates potential oncology drug targets.

Can I identify synthetic lethal interactions using cancer dependency mapping data?

Yes, you can identify synthetic lethal interactions using cancer dependency mapping data. By analyzing gene effect profiles, you can find genes that are selectively essential when another gene is mutated or deleted in cancer cell lines.

How do I predict drug sensitivity in cancer cell lines based on genomic features?

Predict drug sensitivity in cancer cell lines by retrieving drug sensitivity data from the Cancer Dependency Map. This lets you predict compound response based on specific genomic features and dependency scores.

Do I need Python and pandas to analyze Cancer Dependency Map data?

Yes, you need Python with the requests, pandas, and numpy libraries to analyze Cancer Dependency Map data. These libraries are required for programmatic data retrieval and analysis of gene dependency and drug sensitivity datasets.

What's the best way to validate oncology drug targets using dependency mapping?

The best way to validate oncology drug targets using dependency mapping is to query the DepMap for specific genes and cancer types. This retrieves dependency scores to determine cancer-specific vulnerabilities essential for survival.

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