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Gene Ontology Annotation (GOA) Database
The GOA project aims to provide high-quality Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB) and International Protein Index (IPI) and is a central dataset for other major multi-species databases; such as Ensembl and NCBI.
GOA has been a member of the GO Consortium
since 2001, and is responsible for the integration and release of GO annotations to the human, chicken and cow proteomes. Because of the multi-species nature of the UniProtKB, GOA also assists in the curation of another 200,000 species. This involves electronic annotation and the integration of high-quality manual GO annotation from all GO Consortium model organism groups and specialist groups. This effort ensures that the GOA dataset remain a key reference and a comprehensive source of GO annotation for all species.
For fast access to the Gene Ontology terms and annotations, please use our QuickGO browser.
Latest GOA news
All the latest news and information relating to GOA.
Latest GOA releases
Funding
Current Funding:
- EMBL
- NIH grant number R01HG02273-02: Gene Ontology Consortium
- British Heart Foundation grant (SP:07/007/23671) 'The Integration of the knowledge if genes involved in heart development and cardiovascular processes from biomedical research, using standardised Gene Ontology'
- Kidney Research UK Project Grant RP26/2008 - 'Integration of knowledge of genes involved in renal processes from biomedical research using the Gene Ontology'.
- NIH grant number 2U01HG02712-04: UniProtKB Consortium
Previous Funding:
- European Union grant number QLRI-CT-2001000015: TEMBLOR - The European Molecular Biology Linked Original Resources
- European Union grant number QLRT-CT-2001-00981; BioBabel- Enhanced Interoperability of Biological Databases by Standardisation of Biochemical Terminology and Introduction of a Shared Ontology
- BBSRC Tools and Resources Fund grant (BB/E023541/1) 'Further development of the QuickGO web interface for browsing and retrieving Gene Ontology Annotation Data'.
GOA is also grateful to the developers and curators from the GO Consortium and GO associate member databases.
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