Who Tangos with GOA? – Use of Gene Ontology Annotation (GOA) for
Biological Interpretation of '-omics' Data and for Validation of Automatic
Annotation Tools
Abstract: 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