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Nucleic Acids Research 2005 33(Web Server Issue):W408-W411; doi:10.1093/nar/gki486
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© The Author 2005. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oupjournals.org


Article

CisMols Analyzer: identification of compositionally similar cis-element clusters in ortholog conserved regions of coordinately expressed genes

Anil G. Jegga, Ashima Gupta, Sivakumar Gowrisankar, Mrunal A. Deshmukh, Steven Connolly, Kevin Finley and Bruce J. Aronow*

Division of Biomedical Informatics, Children's Hospital Research Foundation, CCHMC 3333 Burnet Avenue, Cincinnati, OH-45229, USA

*To whom correspondence should be addressed. Tel: +1 513 636 4865; Fax: +1 513 636 2056; Email: bruce.aronow{at}cchmc.org

Received February 14, 2005. Revised March 29, 2005. Accepted April 20, 2005.

Combinatorial interactions of sequence-specific trans-acting factors with localized genomic cis-element clusters are the principal mechanism for regulating tissue-specific and developmental gene expression. With the emergence of expanding numbers of genome-wide expression analyses, the identification of the cis-elements responsible for specific patterns of transcriptional regulation represents a critical area of investigation. Computational methods for the identification of functional cis-regulatory modules are difficult to devise, principally because of the short length and degenerate nature of individual cis-element binding sites and the inherent complexity that is generated by combinatorial interactions within cis-clusters. Filtering candidate cis-element clusters based on phylogenetic conservation is helpful for an individual ortholog gene pair, but combining data from cis-conservation and coordinate expression across multiple genes is a more difficult problem. To approach this, we have extended an ortholog gene-pair database with additional analytical architecture to allow for the analysis and identification of maximal numbers of compositionally similar and phylogenetically conserved cis-regulatory element clusters from a list of user-selected genes. The system has been successfully tested with a series of functionally related and microarray profile-based co-expressed ortholog pairs of promoters and genes using known regulatory regions as training sets and co-expressed genes in the olfactory and immunohematologic systems as test sets. CisMols Analyzer is accessible via a Web interface at http://cismols.cchmc.org/.


The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors


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