Gene Ontology

What Gene Ontology does

The Gene Ontology Consortium (GOC) is a nonprofit academic bioinformatics consortium founded in 1998 to develop a computational representation of gene functions across all organisms. Its core product is the GO Knowledgebase, which consists of three interconnected components: (1) the GO Ontology — a structured controlled vocabulary of over 43,000 terms spanning Molecular Function, Biological Process, and Cellular Component; (2) GO Annotations — over 9.4 million evidence-based associations between gene products and ontology terms, traceable to scientific literature; and (3) GO-CAM (Causal Activity Models) — a structured framework linking annotations into causal models of biological systems. Supporting tools include the AmiGO web browser, the Noctua curation platform, and GO Enrichment Analysis powered by PANTHER.

Technically, GO is built on established semantic-web standards (OBO, OWL, RDF) with data distributed in machine-readable formats and accessible via programmatic downloads, Zenodo DOI-versioned releases, and SPARQL endpoints. Annotation is enriched through phylogenetic inference using explicit evolutionary models and a comprehensive evidence-code framework (experimental, phylogenetic, computational, author statement, curatorial, and electronic). The knowledgebase integrates with virtually every major bioinformatics resource (UniProt, Ensembl, InterPro, Reactome, PANTHER) and all leading model organism databases.

GO operates under a public-research-funding model with no commercial revenue. It is funded primarily by NIH/NHGRI grant HG012212 with NIGMS co-funding, distributed across four principal institutional nodes: Lawrence Berkeley National Laboratory, University of Southern California, Caltech, and SIB Swiss Institute of Bioinformatics, with additional support from Stanford. All data, ontology files, and tools are free under CC BY 4.0 license, distributed to a global user base spanning academic researchers, model organism databases, biopharmaceutical researchers, and the broader biomedical research community. Since 2022 GO has held Global Core Biodata Resource status from the Global Biodata Coalition.

Name

Gene Ontology

Legal name

Gene Ontology Consortium

Website

https://geneontology.org

Company type

Private

Founded year

1998

Operating status

Operating

Headcount range

1–10 employees

Short description

The Gene Ontology Consortium is a nonprofit academic bioinformatics initiative that develops a free, open-access computational knowledgebase of gene functions across all organisms, serving academic researchers, model organism databases, and biopharma through NIH-funded ontology, annotation, and causal modeling tools.

Ownership category

akta.pro rank

Product category

Bioinformatics Knowledgebase

NAICS

Custom Computer Programming Services (541511)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Bioinformatics & Multi-omics Analysis Software (HLAGAJAD)

Keywords

• Bioinformatics knowledgebase
• Gene ontology
• Functional genomics
• Gene annotation
• Biological ontologies

Headquarters

HQ city

Bar Harbor

HQ country

United States

HQ region

North America

Offices5 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Infrastructure

Revenue model

1. Public Research Funding: The Gene Ontology Consortium is funded by the National Human Genome Research Institute (NHGRI) of the US National Institutes of Health, grant number HG012212, with co-funding by NIGMS. This is a non-profit research infrastructure with no commercial revenue model.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels5 records

Core offering

The Gene Ontology (GO) Consortium develops and maintains a comprehensive computational knowledgebase representing the functions of gene products across all sequenced organisms. The core offering comprises the GO Ontology (a structured controlled vocabulary spanning Molecular Function, Biological Process, and Cellular Component), GO Annotations (evidence-based associations linking specific gene products to ontology terms), and GO-CAM (Causal Activity Models connecting annotations into structured models of biological systems). All data products and software tools (AmiGO browser, Noctua curation platform, GO Enrichment Analysis) are distributed free of charge under the Creative Commons Attribution 4.0 license via direct downloads, web interfaces, and programmatic access.

Product overview

The Gene Ontology (GO) is a major bioinformatics initiative providing a unified computational representation of biological function knowledge. The core offering consists of the GO Ontology (structured vocabulary in three aspects: Molecular Function, Cellular Component, and Biological Process) and GO Annotations (evidence-based associations between gene products and ontology terms). Key supporting products include GO-CAMs for causal activity modeling, AmiGO browser for searching, GO Enrichment Analysis powered by PANTHER for statistical analysis, and the PAN-GO Human Functionome for human gene annotations. Data is distributed via downloadable files in OBO/OWL/JSON formats, with monthly releases. Curation tools include Noctua for creating annotations and GO-CAMs. All data is freely available under Creative Commons Attribution 4.0 license.

Differentiator

Problem solved

Functional benefit

Brands

• AmiGO: GO's online browser for searching and browsing the Gene Ontology and gene products annotated using GO terms.
• GO-CAM
• PAN-GO Functionome
• Noctua

Products and services

• Gene Ontology Knowledgebase The world's largest source of computational information on gene product functions, encompassing the GO ontology of biological terms and corpus of evidence-based annotations linking genes to functions across all sequenced organisms.
• GO Ontology The structured network of biological classes describing molecular functions, cellular locations, and biological processes, organized in three aspects: Molecular Function (MF), Cellular Component (CC), and Biological Process (BP).
• GO Annotations Evidence-based statements linking specific gene products to GO ontology terms, with traceable scientific references and evidence codes indicating the type of supporting data.
• GO-CAM (Causal Activity Models) Structured framework linking standard GO annotations into comprehensive models of biological systems with causal connections between activities, biological context, and pathway representations.
• AmiGO Web-based browser for searching and navigating the Gene Ontology and annotations. Provides quick search with autocomplete for genes and GO terms, plus advanced filtering capabilities.
• GO Enrichment Analysis Statistical analysis tool powered by PANTHER for discovering statistically significant functional similarities or differences in gene sets under experimental conditions.
• PAN-GO Human Functionome Comprehensive set of GO annotations for all human protein-coding genes, derived from evolutionary modeling and expert biologist review, available at functionome.geneontology.org.
• Noctua Web-based curation platform for creating GO annotations and GO-Causal Activity Models, enabling structured description of biological functions and systems.
• GO Downloads (go-basic, go, go-plus) Ontology file downloads in OBO, OWL, and JSON formats. go-basic is recommended for most annotation tools; go-plus includes cross-ontology relationships and imported ontologies.
• GO Annotation Files (GAF, GPAD/GPI) Taxon-specific annotation files for commonly-studied organisms and computational annotations for all other organisms, available in GAF 2.2 format (recommended) or GPAD+GPI formats.
• GO-CAM Downloads Pathway-like GO-CAM downloads in RDF Turtle (TTL) format and BlazeGraph Journal format for pathway modeling and visualization.
• GO Evidence Codes Controlled vocabulary of evidence codes for GO annotations including experimental (EXP, IDA, IPI, IMP, IGI, IEP), phylogenetic (IBA, IBD, IKR, IRD), computational (ISS, ISO, ISA, ISM, IGC, RCA), author statement (TAS, NAS), curatorial (IC, ND), and electronic (IEA) codes.

Quantifiable outcome

• Cited in over 159,000 scientific publications
• +2 more outcomes

Named customers5 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration13 records

AI capability3 records

Feature5 records

Partnerships

19 partnerships are on record, tiered core and major.

• Alliance of Genome ResourcescoreStrategic or Co-development Partner · 1 January 2016In 2016, GO partnered with model organism databases (MODs) to form the Alliance of Genome Resources. Partner MODs include FlyBase, Mouse Genome Database (MGI), Rat Genome Database (RGD), Saccharomyces Genome Database (SGD), WormBase, Xenbase, and Zebrafish Information Network (ZFIN). Mission: develop sustainable genome information resources for understanding human biology, health and disease.
• Global Biodata CoalitioncoreStrategic or Co-development PartnerGO has been a Global Core Biodata Resource (GCBR) since December 2022, selected by the Global Biodata Coalition based on authoritative status, extensive use, proven longevity, and free open access.
• UniProt ConsortiumcoreStrategic or Co-development PartnerUniProt provides GO annotations integrated into the UniProt Knowledgebase, including annotations from InterPro, RNACentral, and Complex Portal. GO terms are used to annotate proteins in UniProtKB.
• PANTHER (Protein ANalysis THrough Evolutionary Relationships)coreTechnology or IntegrationGO Enrichment Analysis powered by PANTHER knowledgebase. PANTHER supports biomedical research through protein family evolution analysis. Joint PAN-GO project provides phylogenetic annotation of human protein-coding genes.
• InterProcoreTechnology or IntegrationInterPro provides functional analysis of proteins by classifying them into families and predicting domains. InterPro2GO creates automated electronic annotations mapping protein signatures to GO terms.
• ReactomecoreTechnology or IntegrationReactome provides pathway knowledgebase integrated with GO. Cross-references link Reactome reactions and pathways to GO molecular functions and biological processes. GO harmonization collaboration.
• Ensembl/EnsemblFungi/EnsemblPlantsmajorTechnology or IntegrationEnsembl provides predicted GO annotations for vertebrates and fungi based on orthology. Supports automated annotation transfer across species.
• Mouse Genome Informatics (MGI)coreTechnology or IntegrationMGI provides comprehensive functional annotations for mouse genes, a key model organism database contributing to GO.
• FlyBasecoreTechnology or IntegrationFlyBase provides functional annotation for Drosophila melanogaster genes, one of the original three model organisms in the GO Consortium (established 1998).
• Saccharomyces Genome Database (SGD)coreTechnology or IntegrationSGD provides functional annotation for budding yeast S. cerevisiae, one of the original three founding model organisms of GO Consortium in 1998.
• WormBasecoreTechnology or IntegrationWormBase provides annotation for Caenorhabditis elegans and related nematodes, one of the founding model organisms of GO Consortium.
• The Arabidopsis Information Resource (TAIR)majorTechnology or IntegrationTAIR provides database access to genetic and molecular biology data for Arabidopsis thaliana, a major plant model organism.
• Zebrafish Information Network (ZFIN)majorTechnology or IntegrationZFIN provides genetic and genomic data for zebrafish Danio rerio, a key vertebrate model organism.
• Rat Genome Database (RGD)majorTechnology or IntegrationRGD provides functional annotation for rat Rattus norvegicus genes.
• XenbasemajorTechnology or IntegrationXenbase provides integrated genomic and functional data for Xenopus (frog) model organisms.
• PomBasemajorTechnology or IntegrationPomBase provides comprehensive annotation for fission yeast Schizosaccharomyces pombe.
• The Human Protein AtlasmajorTechnology or IntegrationSwedish-based program mapping all human proteins in cells, tissues, and organs using omics technologies.
• HUGO Gene Nomenclature Committee (HGNC)majorTechnology or IntegrationHGNC approves unique symbols and names for human loci, ensuring consistent gene nomenclature integrated with GO annotations.
• OBO Foundry (Open Biological Ontologies Foundry)coreStrategic or Co-development PartnerGO is a member of the Open Biological Ontologies Foundry, a collection of interoperable ontologies. GO imports from multiple OBO ontologies including Cell Ontology, ChEBI, ECO, FAO, NCBITaxon, OBA, PATO, Plant Ontology, PRO, RO, SO, and Uberon.

Scale indicators7 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• UniProt Consortium: Provides the UniProt Knowledgebase of protein sequences and functional information, directly consuming GO annotations for protein function descriptions. UniProt is GO's most important integration partner and shares the nonprofit, publicly funded consortium model.
• PANTHER: Protein ANalysis THrough Evolutionary Relationships — powers GO Enrichment Analysis and jointly develops the PAN-GO Functionome with GO. Directly comparable as a curated protein family/function classification resource integrated with GO.
• Reactome: Open-source, curated pathway database that cross-references its reactions and pathways to GO molecular functions and biological processes. Closely comparable as a curated, freely available, NIH-funded bioinformatics resource integrated with GO.
• Alliance of Genome Resources: Founded in 2016 with GO as a founding member, integrating model organism databases (FlyBase, MGI, SGD, WormBase, ZFIN, etc.) into a unified genome resource. Directly comparable as a curated, nonprofit, NIH-funded genomics consortium.
• Ensembl: Genome browser providing annotated vertebrate and fungal genomes; uses GO terms heavily for functional annotation and contributes orthology-based GO annotations back. Shares the role of foundational genomics resource integrated with GO.
• InterPro: Provides functional analysis of proteins by classifying them into families and predicting domains; produces InterPro2GO mappings feeding GO annotations. Comparable as a curated, EMBL-EBI-hosted bioinformatics resource tightly coupled to GO.

Broad incumbents

• NCBI Gene / RefSeq: NIH-hosted gene-centric reference database with GO annotation cross-references. Comparable as a publicly funded, foundational bioinformatics resource; broader in scope but interoperable with GO for functional annotation.
• KEGG: Kyoto Encyclopedia of Genes and Genomes — major pathway and functional reference database with cross-references to GO terms. Comparable as a foundational functional genomics resource, though GO is more ontology-structured while KEGG emphasizes pathways.

Emerging players

• Human Protein Atlas: Swedish-based program mapping all human proteins in cells, tissues, and organs, integrated with GO for functional annotations. Comparable as a curated omics resource using GO terms, but specialized to human proteomics rather than pan-species ontology.

Others

• OBO Foundry: Collection of interoperable, orthogonal open biomedical ontologies in which GO is a founding member. Comparable as an umbrella organization governing ontology interoperability standards; relevant to GO's ontology standardization strategy.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat6 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/geneontology
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• Facebookfacebook.com/geneontology
• LinkedInlinkedin.com/company/gene-ontology

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Gene Ontology