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使用AGENDA挖掘基因本体数据。

Mining Gene Ontology Data with AGENDA.

作者信息

Ovezmyradov Guvanch, Lu Qianhao, Göpfert Martin C

机构信息

Department of Cellular Neurobiology, Georg-August-University of Göttingen, Schwann-Schleiden Research Centre for Molecular Cell Biology, Julia-Lermontowa-Weg 3, 37077 Göttingen, Germany.

出版信息

Bioinform Biol Insights. 2012;6:63-7. doi: 10.4137/BBI.S9101. Epub 2012 Apr 18.

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.

摘要

基因本体论(GO)计划是一项合作项目,它使用受控词汇表来注释遗传信息。我们在此介绍AGENDA(挖掘基因本体论数据的应用程序),这是一种用于访问GO数据库的新型基于网络的工具。AGENDA允许用户使用批量查询同时检索和比较与不同物种中不同GO术语相关的基因列表,便于对遗传信息进行比较研究。这个基于网络的应用程序提供了多种搜索选项,并允许用户对结果进行书签标记、可视化和下载。AGENDA是一个基于网络的开源应用程序,可在项目主页上免费用于非商业用途。网址:http://sourceforge.net/projects/bioagenda

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