is a Knowledge Graph.
It is part of the OKN collection.
Scalable Precision Medicine Open Knowledge Engine (SPOKE) is a comprehensive biomedical knowledge graph that connects diverse data from multiple domains to enable discovery and precision medicine applications.
biomedical, genomics, clinical, drug discovery, precision medicine, pharmacology
| ID | Name | URL | Category | Format | Description |
|---|---|---|---|---|---|
| spoke.graph | SPOKE Graph | data-tools | Graph | http | The SPOKE knowledge graph containing ... |
| spoke.api | SPOKE REST API | swagger | Programming Interface | http | REST API for programmatic access to S... |
| spoke.nodes-edges-docs | SPOKE Nodes and Edges | index.html | Documentation | http | Documentation of each SPOKE node and ... |
| spoke.neighborhood_explorer | SPOKE Neighborhood Explorer | neighborhood.html | Graphical Interface | http | Web interface that allows searching S... |
| spoke.sparql | SPOKE SPARQL Endpoint | sparql | Programming Interface | http | SPARQL endpoint for querying the SPOK... |
| spoke.docs | SPOKE Data and Tools | data-tools | Documentation | http | SPOKE data and tools page describing ... |
| ID | Name | URL | Category | Format | Relation | Description |
|---|---|---|---|---|---|---|
| spoke-okn.graph | SPOKE-OKN Graph | spoke.ucsf.edu | Graph | ttl | was derived from | The SPOKE-OKN knowledge graph, an OKN... |
SPOKE (Scalable Precision Medicine Open Knowledge Engine) is a comprehensive biomedical knowledge graph developed at the University of California, San Francisco (UCSF). It integrates data from dozens of public databases to create a rich network of biomedical relationships.
SPOKE is a heterogeneous network, containing different types of nodes (e.g., genes, diseases, drugs, pathways) and the edges between them represent known connections. The knowledge graph pulls data out of silos, connecting diverse information from molecular research, clinical insights, and environmental data.
SPOKE enables a wide variety of applications including suggesting testable hypotheses for researchers, implicating mechanisms of disease, and enabling more precise diagnoses and treatments for individual patients. It has been used in studies for drug repurposing, disease prediction, and integrating electronic health records with biomedical knowledge. SPOKE data are updated on a rotating weekly schedule rather than in numbered releases. SPOKE is available for both academic and commercial use; commercial licensing is handled through Mate Bioservices. Sui Huang (Institute for Systems Biology) and Sharat Israni are lead investigators alongside Sergio Baranzini.
In KG-Registry, the owned products capture the main SPOKE access points, while the detailed original-source provenance on the graph product records the many upstream resources incorporated into the network.
Created: March 09, 2025 | Last modified: October 10, 2026