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Mining Gene Ontology Data with AGENDA
Guvanch Ovezmyradov1, Qianhao Lu, Martin C Göpfert
1Department of Cellular Neurobiology, Georg-August-University of Göttingen, Schwann-Schleiden Research Centre for Molecular Cell Biology, Julia-Lermontowa-Weg 3, 37077 Göttingen, Germany.
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.
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