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Bioinformatics Advance Access originally published online on April 29, 2004
Bioinformatics 2004 20(16):2851-2852; doi:10.1093/bioinformatics/bth289
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Bioinformatics vol. 20 issue 16 © Oxford University Press 2004; all rights reserved.

Applications Note

Gene-Ontology-based clustering of gene expression data

Boris Adryan * and Reinhard Schuh *

Department of Molecular Developmental Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany

Received on September 20, 2003; revised on March 9, 2004; accepted on April 19, 2004
Advance Access Publication April 29, 2004

Summary: The expected correlation between genetic co-regulation and affiliation to a common biological process is not necessarily the case when numerical cluster algorithms are applied to gene expression data. GO-Cluster uses the tree structure of the Gene Ontology database as a framework for numerical clustering, and thus allowing a simple visualization of gene expression data at various levels of the ontology tree.

Availability: The 32-bit Windows application is freely available at http://www.mpibpc.mpg.de/go-cluster/

Supplementary information: A comprehensive software manual, hints for troubleshooting and commented examples are available from the website.

Contact: boris.adryan{at}mpi-bpc.mpg.de; rschuh{at}gwdg.de

* To whom correspondence should be addressed.


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