title: ArrayProspector: a web resource of functional associations inferred from microarray expression data.
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.
authors.affiliation: European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.
authors.forename: Lars Juhl
authors.initials: LJ
authors.lastname: Jensen
authors.forename: Julien
authors.initials: J
authors.lastname: Lagarde
authors.forename: Christian
authors.initials: C
authors.lastname: von Mering
authors.forename: Peer
authors.initials: P
authors.lastname: Bork
mesh_terms: D000465:Algorithms; D000818:Animals; D003196:Computer Graphics; D020869:Gene Expression Profiling; D006801:Humans; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis; D011506:Proteins / Q000235:genetics / Q000502:physiology; D015203:Reproducibility of Results; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins