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In Silico Biology 5, 0002 (2004); ©2004, Bioinformation Systems e.V.  

Who tangos with GOA? - Use of Gene Ontology Annotation (GOA) for biological interpretation of '-omics' data and for validation of automatic annotation tools

Vivian Lee*, Evelyn Camon, Emily Dimmer, Daniel Barrell and Rolf Apweiler

EMBL Outstation- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK

* Corresponding author; Email:; Phone: +44-1223 494465; Fax: +44-1223 494468

Edited by E. Wingender; received September 15, 2004; revised and accepted November 26, 2004; published December 07, 2004


The number of large-scale experimental datasets generated from high-throughput technologies has grown rapidly. Biological knowledge resources such as the Gene Ontology Annotation (GOA) database, which provides high-quality functional annotation to proteins within the UniProt Knowledgebase, can play an important role in the analysis of such data. The integration of GOA with analytical tools has proved to aid the clustering, annotation and biological interpretation of such large expression datasets. GOA is also useful in the development and validation of automated annotation tools, in particular text-mining systems. The increasing interest in GOA highlights the great potential of this freely available resource to assist both the biological research and bioinformatics communities.

Keywords: Gene Ontology, annotation, data analysis