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Nucleic Acids Research 2006 34(Web Server issue):W571-W577; doi:10.1093/nar/gkl279
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© The Author 2006. Published by Oxford University Press. All rights reserved
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Article

CRSD: a comprehensive web server for composite regulatory signature discovery

Chun-Chi Liu1,2, Chin-Chung Lin2, Wen-Shyen E. Chen1, Hsuan-Yu Chen3, Pei-Chun Chang4, Jeremy J.W. Chen2,5,* and Pan-Chyr Yang5

1 Department of Computer Science, National Chung-Hsing University Taichung, Taiwan, ROC 2 Institutes of Biomedical Sciences and Molecular Biology, National Chung-Hsing University Taichung, Taiwan, ROC 3 Graduate Institute of Epidemiology, National Taiwan University Taipei, Taiwan, ROC 4 Departments of Biotechnology and Bioinformatics, Asia University Taichung, Taiwan, ROC, 5 NTU Center for Genomic Medicine, National Taiwan University College of Medicine Taipei, Taiwan, ROC

*To whom correspondence should be addressed. Tel: 886 4 22840485, ext. 226; Fax: 886 4 22853469; Email: jwchen{at}dragon.nchu.edu.tw

Received February 14, 2006. Revised March 19, 2006. Accepted April 4, 2006.

Transcription factors (TFs) and microRNAs play important roles in the regulation of human gene expression, and the study of their combinatory regulations of gene expression is a new research field. We constructed a comprehensive web server, the composite regulatory signature database (CRSD), that can be applied in investigating complex regulatory behaviors involving gene expression signatures (GESs), microRNA regulatory signatures (MRSs) and TF regulatory signatures (TRSs). Six well-known and large-scale databases, including the human UniGene, mature microRNAs, putative promoter, TRANSFAC, pathway and Gene Ontology (GO) databases, were integrated to provide the comprehensive analysis in CRSD. Two new genome-wide databases, of MRSs and TRSs, were also constructed and further integrated into CRSD. To accomplish the microarray data analysis at one go, several methods, including microarray data pretreatment, statistical and clustering analysis, iterative enrichment analysis and motif discovery, were closely integrated in the web server, which has not been the case in previous studies. Our implementation showed that the published literature could demonstrate the results of genome-wide enrichment analysis. We conclude that CRSD is a powerful and useful bioinformatic web server and may provide new insights into gene regulation networks. CRSD and the online tutorial are publicly available at http://biochip.nchu.edu.tw/crsd1/.


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