ArrayProspector：一个从微阵列表达数据推断功能关联的网络资源。
ArrayProspector: a web resource of functional associations inferred from microarray expression data.
作者信息
Jensen Lars Juhl, Lagarde Julien, von Mering Christian, Bork Peer
机构信息
European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.
出版信息
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W445-8. doi: 10.1093/nar/gkh407.
Abstract
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.
摘要
DNA微阵列实验提供了大量可用于推断基因功能的数据。然而，大多数从表达数据预测基因间功能关联的方法并不适用于多个数据集的同时分析，而且目前缺乏基于共表达预测的综合资源。在此，我们展示了一个交互式网络资源，该资源包含通过将一种新算法应用于斯坦福微阵列数据库中的所有表达数据而预测出的基因关联。底层的预计算数据库目前包含从广泛分类范围中采样的12个不同物种的超过200,000个高可信度基因关联。该资源允许直观地检查每个关联，可通过http://www.bork.embl.de/ArrayProspector访问。
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