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Bioinformatics Advance Access originally published online on December 1, 2005
Bioinformatics 2006 22(3):367-368; doi:10.1093/bioinformatics/bti778
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Published by Oxford University Press 2005.
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@oxfordjournals.org

PAGE: phase-shifted analysis of gene expression

Elo Leung 1 and Pierre R. Bushel 2,*

1Bioinformatics and Computational Biology, School of Computational Sciences, George Mason University Manassas, VA 20110, USA
2National Institute of Environmental Health Sciences, National Center for Toxicogenomics, Microarray Group, Research Triangle Park NC 27709, USA

*To whom correspondence should be addressed.

Summary: Grouping of gene expression patterns across biological experiments, treatments and time-series data is performed in q-intervals of measurements using phase-shifted analysis of gene expression (PAGE); a Java-based tool to find clusters of genes that share trends of expression profiles within the dataset. The patterns and genes within q-Clusters are visualized in trend plots and compared to determine biological relevance from the gene annotations.

Availability: PAGE is available at http://dir.niehs.nih.gov/microarray/software/page/

Contact: bushel{at}niehs.nih.gov

Supplementary information: The Supplementary data are available at http://dir.niehs.nih.gov/microarray/software/page/

Received on August 30, 2005; revised on October 27, 2005; accepted on November 11, 2005

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