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Updated: May 14, 2025

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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BioPortal: an open community resource for sharing, searching, and utilizing biomedical ontologies
Jennifer Vendetti1, Nomi L Harris2, Michael V Dorf1
1Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA 94304, United States.
Nucleic Acids Research
|May 13, 2025
Summary
BioPortal is a comprehensive resource for biomedical ontologies, offering tools for searching, annotating, and managing these critical knowledge structures. It facilitates access to over 1500 ontologies, supporting biomedical research and data integration.
Area of Science:
- Biomedical Informatics
- Knowledge Representation
- Data Management
Background:
- BioPortal serves as a central hub for biomedical ontologies, crucial for organizing and standardizing life science knowledge.
- The platform has evolved since 2005, now hosting a vast collection of 1549 ontologies, with 1182 publicly available.
Purpose of the Study:
- To provide an updated overview of BioPortal's capabilities and recent enhancements.
- To highlight BioPortal's role in facilitating the discovery, utilization, and management of biomedical ontologies.
Main Methods:
- The BioPortal platform offers a web interface for browsing, searching, and annotating with ontologies.
- Programmatic access is available via a REST API, enabling integration with external applications.
- Recent features include a knowledge graph, unified data model, popularity ratings, and a streamlined ontology change request system.
Main Results:
- BioPortal currently hosts 1549 ontologies, with 1182 accessible to the public.
- New features enhance interoperability, knowledge integration, and user contribution through automated GitHub Pull Requests for ontology changes.
Conclusions:
- BioPortal continues to be an indispensable resource for the biomedical community, supporting diverse use cases through its extensive ontology repository and advanced functionalities.
- The platform's ongoing development, including knowledge graph integration and improved contribution workflows, further solidifies its importance in biomedical research and data science.
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