PrimeKG
A biomedical knowledge graph integrating 20 resources to describe 17,080 diseases with over 4 million relationships across ten biological scales.
What is PrimeKG?
PrimeKG (Precision Medicine Knowledge Graph) is a biomedical knowledge graph that integrates data from 20 resources to describe 17,080 diseases with over 4 million relationships across ten biological scales. It connects diseases with genes, drugs, phenotypes, and clinical information to enable data-driven research in precision medicine. The project provides ready-to-use datasets and tools for building and updating the knowledge graph.
Bioinformaticians, medical researchers, and data scientists working on precision medicine, drug discovery, or disease modeling who need integrated biomedical data for analysis.
PrimeKG offers a uniquely comprehensive and clinically relevant knowledge graph that bridges multiple biological scales, with multimodal data and extensive coverage of diseases, including rare conditions. Its integration of diverse resources and ready-to-use format saves researchers time in data preparation.
Overview
Precision Medicine Knowledge Graph (PrimeKG)
Use Cases
Best For
- Integrating heterogeneous biomedical data for precision medicine research
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