Deepmap

About

Deepmap serves as a high-performance Model Context Protocol (MCP) server, offering Large Language Models (LLMs) and other AI agents direct and structured access to the extensive Broad Institute's DepMap (Cancer Dependency Map) data. It is specifically designed to facilitate 'Therapeutic Target Evidence Collection' by enabling comprehensive functional genomics analysis across over 1,000 cancer cell lines, leveraging the latest CRISPR datasets. The server acts as a low-latency bridge, transforming raw DepMap CSV data into easily queryable information for sophisticated AI-driven research.

Key Features

• Structured access to Broad Institute's DepMap CRISPR datasets
• 0 GitHub stars
• Enables querying gene dependency metrics across 1,000+ cancer cell lines
• Provides tools for searching valid HGNC gene symbols
• Retrieves global statistical metrics for specific genes (e.g., average gene effect)
• Identifies top cancer cell lines most sensitive to target gene loss

Use Cases

• Resolving partial gene symbols or verifying gene existence in DepMap screens
• Therapeutic target evidence collection for cancer research
• Functional genomics analysis and gene dependency synthesis