ArrayProspector: a web resource of functional associations inferred from microarray expression data

被引:21
作者
Jensen, LJ
Lagarde, J
von Mering, C
Bork, P
机构
[1] European Mol Biol Lab, D-69117 Heidelberg, Germany
[2] Max Delbruck Ctr Mol Med, D-13092 Berlin, Germany
关键词
D O I
10.1093/nar/gkh407
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
DNA microarray experiments have provided vast amounts of data which can be used for inferring gene function. However, most methods for predicting functional associations between genes from expression data are not suited to simultaneous analysis of multiple datasets, and a comprehensive resource of coexpression-based predictions is currently lacking. Here, we present an interactive web resource of gene associations predicted by applying a novel algorithm to all expression data in the Stanford Microarray Database. The underlying pre-computed database currently contains more than 200 000 high-confidence gene associations in 12 different species sampled from a broad taxonomic range. The resource allows every association to be inspected visually and can be accessed at http://www.bork.embl.de/ArrayProspector.
引用
收藏
页码:W445 / W448
页数:4
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