Mining gene ontology data with AGENDA

Ovezmyradov G., Lu Q., Göpfert M. C.

Bioinformatics and Biology Insights, vol.6, pp.63-67, 2012 (Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 6
  • Publication Date: 2012
  • Doi Number: 10.4137/bbi.s9101
  • Journal Name: Bioinformatics and Biology Insights
  • Journal Indexes: Scopus
  • Page Numbers: pp.63-67
  • Keywords: Complex query, Controlled vocabulary, Data mining, Gene annotation, Gene ontology
  • Istanbul Medipol University Affiliated: No

Abstract

The Gene Ontology (GO) initiative is a collaborative effort that uses controlled vocabularies for annotating genetic information. We here present AGENDA (Application for mining Gene Ontology Data), a novel web-based tool for accessing the GO database. AGENDA allows the user to simultaneously retrieve and compare gene lists linked to different GO terms in diverse species using batch queries, facilitating comparative approaches to genetic information. The web-based application offers diverse search options and allows the user to bookmark, visualize, and download the results. AGENDA is an open source web-based application that is freely available for non-commercial use at the project homepage. URL: http://sourceforge.net/projects/bioagenda. © the author(s), publisher and licensee Libertas Academica Ltd.