TriClust: A Tool for Cross‐Species Analysis of Gene Regulation. Issue 5 (13th May 2014)

• Record Type: Journal Article
• Authors: Dede, Duygu; Oğul, Hasan
• Is Part Of: Molecular informatics. Volume 33:Issue 5(2014:May.)
• Page Start: 382
• Page End: 387
• Publication Date: 2014-05-13
• Subjects: Cheminformatics -- Periodicals; QSAR (Biochemistry) -- Periodicals; Structure-activity relationships (Biochemistry) -- Periodicals; Drugs -- Structure-activity relationships -- Periodicals; 615.19
• DOI: 10.1002/minf.201400007
• Languages: English
• ISSNs: 1868-1743

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>We present a software tool, called TriClust, for multi‐way analysis of gene expression data from paired conditions of multiple organisms. The analysis is based on a new concept called triclustering, which is an extension of biclustering over a third dimension that represents the organism where the microarray experiment is performed. TriClust provides a comprehensive analysis of co‐regulated genes under a subset of experimental conditions over multiple organisms. The results are visualized using heat‐maps and the Gene Ontology (GO) term enrichment statistics. The experimental results indicate that TriClust can successfully identify biologically significant triclusters and promote a useful tool for cross species analysis of gene regulation from microarray expression data. The statistical results suggest that, when available, triclustering on multi‐organism data can result in better gene clusters in comparison to biclustering on single‐organism data. The TriClust software is publicly available as a standalone program.</p> </abstract>