An evaluation of GO annotation retrieval for BioCreAtIvE and GOA

Background: The Gene Ontology Annotation (GOA) database http://www.ebi.ac.uk/GOA aims to provide high-quality supplementary GO annotation to proteins in the UniProt Knowledgebase. Like many other biological databases, GOA gathers much of its content from the careful manual curation of literature. However, as both the volume of literature and of proteins requiring characterization increases, the manual processing capability can become overloaded. Consequently, semi-automated aids are often employed to expedite the curation process. Traditionally, electronic techniques in GOA depend largely on exploiting the knowledge in existing resources such as InterPro. However, in recent years, text mining has been hailed as a potentially useful tool to aid the curation process. To encourage the development of such tools, the GOA team at EBI agreed to take part in the functional annotation task of the BioCreAtIvE (Critical Assessment of Information Extraction systems in Biology) challenge. BioCreAt...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Evelyn Camon, Daniel Barrell, Emily Dimmer, Vivian Lee, Michele Magrane, John Maslen, David Binns, Rolf Apweiler
• Keywords: Annotation, BMCBI 2005, GO Annotations, Supplementary Go Annotation