The Gene Ontology knowledgebase in 2026

The Gene Ontology (GO) knowledgebase (https://geneontology.org) is a comprehensive resource describing the functions of genes. The GO knowledgebase is regularly updated and improved. We describe here the major updates that have been made in the past 3 years. The ontology and annotations have been expanded and revised, particularly in several areas of biology: cellular metabolism, multi-organism interactions (e.g. host-pathogen), extracellular matrix proteins, chromatin remodeling (e.g. the "histone code"), and noncoding RNA functions. We have released version 2 of a comprehensive set of integrated, reviewed annotations for human genes, which we call the "functionome." We have also dramatically increased the number of GO-CAM models, with over 1500 models of metabolic and signaling pathways, primarily in human, mouse, budding and fission yeast, and fruit fly. Finally, we discuss our current recommendations and future prospects of AI in the use and development of GO.

Publication Details

Journal
Nucleic Acids Research
Published
2025-11-02
DOI
https://doi.org/10.1093/nar/gkaf1292
Citations
19
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
15.31
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article

The Gene Ontology knowledgebase in 2026

19 citations
Nucleic Acids Research
Bioinformatics and Genomic Networks
15.31
article

The Gene Ontology knowledgebase in 2026

article en
19 citations

Abstract

The Gene Ontology (GO) knowledgebase (https://geneontology.org) is a comprehensive resource describing the functions of genes. The GO knowledgebase is regularly updated and improved. We describe here the major updates that have been made in the past 3 years. The ontology and annotations have been expanded and revised, particularly in several areas of biology: cellular metabolism, multi-organism interactions (e.g. host-pathogen), extracellular matrix proteins, chromatin remodeling (e.g. the "histone code"), and noncoding RNA functions. We have released version 2 of a comprehensive set of integrated, reviewed annotations for human genes, which we call the "functionome." We have also dramatically increased the number of GO-CAM models, with over 1500 models of metabolic and signaling pathways, primarily in human, mouse, budding and fission yeast, and fruit fly. Finally, we discuss our current recommendations and future prospects of AI in the use and development of GO.

Nucleic Acids ResearchVol. 54(D1)
Openalex Percentile: Top 1%
Bioinformatics and Genomic Networks
15.31
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The Gene Ontology knowledgebase in 2026 · Nucleic Acids Research (2025) | TGRS Research Map | TGRS