Gene Ontology (GO) is a leading bioinformatics project dedicated to developing a computational representation of our evolving knowledge about how genes encode biological functions. Their goal is to create a comprehensive model that encompasses molecular, cellular, and tissue system levels. With a mission to provide accurate information on gene functions, GO is the largest source of knowledge in this field.

Its user-friendly database supports both human-readable and machine-readable formats, making it invaluable for analyzing large-scale molecular biology and genetics experiments in biomedical research. GO's expertise extends across various species, including Homo sapiens, Mus musculus, Rattus norvegicus, and many more. They offer diverse services, such as GO enrichment analysis, annotation statements, and GO-CAM, a structured framework for modeling biological systems.

Researchers can access their tools, guides, and APIs to facilitate curation, browsing, searching, visualization, and data integration. The Gene Ontology Consortium is funded by the National Human Genome Research Institute and other organizations, ensuring its status as a reliable and trusted resource in the scientific community