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Bioinformatics Advance Access originally published online on February 18, 2009
Bioinformatics 2009 25(8):1089-1090; doi:10.1093/bioinformatics/btp099
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© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

gcExplorer: interactive exploration of gene clusters

Theresa Scharl 1,* and Friedrich Leisch 2

1Department of Biotechnology, Universität für Bodenkultur, Vienna, Austria and 2Department of Statistics, Ludwig-Maximilians-Universität, Munich, Germany

*To whom correspondence should be addressed.


  Abstract

Summary: Cluster analysis plays an important role in the analysis of gene expression data since the early beginning of microarray studies and is routinely used to find groups of genes with common expression pattern. In order to make cluster analysis helpful for users, visualization of cluster solutions is of utmost importance. Here, we present the new R package gcExplorer for the interactive exploration of gene clusters. gcExplorer facilitates the interpretation of cluster results and allows to investigate extensive information about clusters.

Availability: The latest release of gcExplorer is always available at the Comprehensive R Archive Network CRAN: http://cran.R-project.org/package=gcExplorer. See the README file in the package for detailed installation instructions.

Contact: theresa.scharl{at}ci.tuwien.ac.at

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: Trey Ideker

Received on October 15, 2008; revised on January 19, 2009; accepted on February 16, 2009

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