Open Biological and Biomedical Ontology

Open Biological and Biomedical Ontology
Name	Open Biological and Biomedical Ontology
Abbreviation	OBO
Type	ontology consortium
Founded	2001

Open Biological and Biomedical Ontology. The Open Biological and Biomedical Ontology initiative is a collaborative consortium that coordinates the development of interoperable Gene Ontology-style resources used across National Institutes of Health, European Molecular Biology Laboratory, Wellcome Trust, Howard Hughes Medical Institute and other institutions. It promotes shared biomedical vocabularies adopted by projects such as Human Genome Project, ENCODE Project, 1000 Genomes Project, Cancer Genome Atlas, and by databases including UniProt, GenBank, ArrayExpress, and PubMed Central.

Overview

OBO provides a community-driven framework that aligns ontologies like Gene Ontology, Sequence Ontology, Plant Ontology, Cell Ontology, and Disease Ontology to enable interoperability among resources maintained by organizations such as European Bioinformatics Institute, National Center for Biotechnology Information, Broad Institute, Sanger Institute, and EMBL-EBI. The consortium fosters standards that intersect with formats and initiatives led by World Health Organization, Global Alliance for Genomics and Health, International Society for Computational Biology, and projects at Stanford University and Massachusetts Institute of Technology.

History and Development

OBO originated in the early 2000s amid efforts by stakeholders from Carnegie Mellon University, University of Cambridge, University of California, Berkeley, Yale University, and University of Oxford to standardize vocabularies used by consortia such as Human Proteome Project and Functional Annotation of the Mammalian Genome. Key milestones involved collaborations with funders including the National Human Genome Research Institute and foundations like the Gordon and Betty Moore Foundation. Influential meetings were held at venues including Cold Spring Harbor Laboratory and Royal Society workshops that shaped alignment with initiatives such as Open Biomedical Ontologies Foundry and standards from World Wide Web Consortium.

Structure and Content

The OBO ecosystem comprises modular ontologies covering entities curated by groups at EMBL-affiliated centers, Princeton University labs, and clinical vocabularies used by Mayo Clinic, Cleveland Clinic, and networks like UK Biobank. Ontology files follow representation practices compatible with Web Ontology Language and serialization approaches endorsed by International Organization for Standardization committees and utilize identifiers linked to resources such as RefSeq, PDB, KEGG, and Reactome. Content governance references conventions used in projects at Harvard Medical School, Johns Hopkins University, and collaborations with IBM Research and Google DeepMind on applied annotation.

Applications and Use Cases

OBO ontologies power annotation pipelines for large-scale efforts including Proteomics Standards Initiative, Human Cell Atlas, Personal Genome Project, Allen Institute for Brain Science, and disease-focused consortia like International Cancer Genome Consortium. They support clinical data integration in consortia tied to Centers for Medicare & Medicaid Services programs and clinical trials coordinated by National Cancer Institute and hospital systems such as Kaiser Permanente. Downstream uses occur in tools from Ensembl, UCSC Genome Browser, Bioconductor, and platforms developed by Illumina, Thermo Fisher Scientific, and Qiagen.

Governance, Licensing, and Community Standards

Community governance involves contributor practices similar to those at Apache Software Foundation and Linux Foundation projects, with stewardship models influenced by policies from National Science Foundation, European Commission, and guidance from organizations like Open Source Initiative. Licensing choices aim for broad reuse aligning with licenses used by Creative Commons and open data mandates from agencies such as NIH and European Research Council. Community standards are shaped through working groups including stakeholders from American Medical Association committees, academic consortia at Yale School of Medicine, and international bodies such as Organization for Economic Co-operation and Development panels.

Tools, Platforms, and Integration

Tooling around OBO includes editors and validators used in projects at University of Manchester, University of Washington, and University of California, San Diego labs, integrations with platforms like GitHub, Bitbucket, and workflow systems from Galaxy Project and Nextflow. Conversion and reasoning leverage software from Protégé, reasoners linked to OWL API, and analytics in environments used by teams at Microsoft Research, Amazon Web Services, and research groups at ETH Zurich and EPFL.

Challenges and Future Directions

Challenges include scaling interoperability across global initiatives such as Global Alliance for Genomics and Health and harmonizing with clinical terminologies like SNOMED CT, LOINC, and standards from Health Level Seven International while navigating intellectual property and regulatory environments influenced by entities like European Medicines Agency and U.S. Food and Drug Administration. Future directions foresee tighter integration with machine learning projects at DeepMind, OpenAI, and university labs at Columbia University and University of Toronto, expanded support for FAIR principles advocated by groups including Research Data Alliance, and broader adoption across consortia such as ELIXIR, GA4GH, and national bioinformatics infrastructures.

Category:Biological ontologies