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GOfetcher: a database with complex searching facility for gene ontology.
Pirooznia, Mehdi; Habib, Tanwir; Perkins, Edward J; Deng, Youping.
Affiliation
  • Pirooznia M; Department of Biological Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA. mehdi.pirooznia@usm.edu
Bioinformatics ; 24(21): 2561-3, 2008 Nov 01.
Article in En | MEDLINE | ID: mdl-18728045
MOTIVATION: An important contribution to the Gene Ontology (GO) project is to develop tools that facilitate the creation, maintenance and use of ontologies. Several tools have been created for communicating and using the GO project. However, a limitation with most of these tools is that they suffer from lack of a comprehensive search facility. We developed a web application, GOfetcher, with a very comprehensive search facility for the GO project and a variety of output formats for the results. GOfetcher has three different levels for searching the GO: 'Quick Search', 'Advanced Search' and 'Upload Files' for searching. The application includes a unique search option which generates gene information given a nucleotide or protein accession number which can then be used in generating GO information. The output data in GOfetcher can be saved into several different formats; including spreadsheet, comma-separated values and the extensible markup language (XML) format. The database is available at http://mcbc.usm.edu/gofetcher/.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Vocabulary, Controlled / Databases, Genetic Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2008 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Vocabulary, Controlled / Databases, Genetic Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2008 Type: Article Affiliation country: United States