Document Detail


Who tangos with GOA?-Use of Gene Ontology Annotation (GOA) for biological interpretation of '-omics' data and for validation of automatic annotation tools.
MedLine Citation:
PMID:  15972001     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Vivian Lee; Evelyn Camon; Emily Dimmer; Daniel Barrell; Rolf Apweiler
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  In silico biology     Volume:  5     ISSN:  1386-6338     ISO Abbreviation:  In Silico Biol. (Gedrukt)     Publication Date:  2005  
Date Detail:
Created Date:  2005-06-23     Completed Date:  2005-09-23     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9815902     Medline TA:  In Silico Biol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  5-8     Citation Subset:  IM    
Affiliation:
EMBL Outstation-European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. goa@ebi.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Animals
Computational Biology / methods*
Databases, Genetic
Databases, Protein
Gene Expression*
Humans
Models, Genetic*
Proteome / chemistry
Proteomics / methods
Terminology as Topic*
Transcription, Genetic
Grant Support
ID/Acronym/Agency:
HG-O2273/HG/NHGRI NIH HHS
Chemical
Reg. No./Substance:
0/Proteome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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