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AssociationDB:基于网络的基因组关联探索。

AssociationDB: web-based exploration of genomic association.

作者信息

Seelow Dominik, Hoffmann Katrin, Lindner Tom H

机构信息

Institute for Medical Genetics, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, D-13353 Berlin, Germany.

出版信息

Bioinformatics. 2007 Oct 1;23(19):2643-4. doi: 10.1093/bioinformatics/btm376. Epub 2007 Jul 27.

Abstract

Genome-wide association studies use hundreds of thousands of markers making it challenging to present and finally interpret the results. We developed a graphical, web-based solution for an interactive exploration of the results of case-control studies, with a tight integration of related gene information and tissue-specific expression data. Association results are presented as physical position-based vertical bars with known genes included as horizontal bars at their respective physical positions. The interface allows the specification of filtering criteria for the association data and highlights potentially interesting genes with user-specified terms occurring in their reports or with relevant expression patterns. Pop-up windows and hyperlinks provide drill-down capabilities and quick access to relevant data AssociationDB can either be used as a stand-alone solution or as a front-end joining association results obtained by other software with genomic information.

摘要

全基因组关联研究使用了数十万个标记,这使得呈现并最终解释结果具有挑战性。我们开发了一种基于网络的图形化解决方案,用于对病例对照研究的结果进行交互式探索,紧密整合相关基因信息和组织特异性表达数据。关联结果以基于物理位置的垂直条呈现,已知基因则以水平条的形式包含在其各自的物理位置上。该界面允许指定关联数据的过滤标准,并突出显示在其报告中出现用户指定术语或具有相关表达模式的潜在有趣基因。弹出窗口和超链接提供了深入挖掘功能和对相关数据的快速访问。AssociationDB既可以用作独立解决方案,也可以用作前端,将其他软件获得的关联结果与基因组信息结合起来。

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