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

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Item Type:Article
Title:ArrayProspector: a web resource of functional associations inferred from microarray expression data
Creators Name:Jensen, L.J. and Lagarde, J. and von Mering, C. and Bork, P.
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.
Keywords:Algorithms, Computer Graphics, Gene Expression Profiling, Internet, Oligonucleotide Array Sequence Analysis, Proteins, Reproducibility of Results, Software, User-Computer Interface, Animals
Source:Nucleic Acids Research
Publisher:Oxford University Press
Number:Web Server Issue
Page Range:W445-W448
Date:1 July 2004
Official Publication:https://doi.org/10.1093/nar/gkh407
PubMed:View item in PubMed

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