What problem does it solve?
This Skill helps researchers identify cancer-specific gene dependencies, synthetic lethal partners, and drug response signals from DepMap data without manually piecing together multiple datasets.
Core Features & Use Cases
- Gene dependency analysis: Compare Chronos or RNAi scores across cell lines to find essential genes and selective vulnerabilities.
- Biomarker discovery: Test whether mutations, expression, or copy number changes predict dependency on a target gene.
- Systematic review support: Use DepMap annotations and analysis workflows to prioritize targets for oncology research and validate hypotheses across cancer lineages.
- Use case: A researcher studying KRAS-mutant lung cancer can quickly find which genes are most selectively essential in that lineage and cross-check them against mutation and expression patterns.
Quick Start
Use the depmap skill to identify the most selective gene dependencies for a chosen cancer lineage and summarize the top candidate vulnerabilities.