Gene-Ontology-based clustering of gene expression data

Authors:
Boris Adryan;Reinhard Schuh
Affiliations:
Department of Molecular Developmental Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany;Department of Molecular Developmental Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
Venue:
Bioinformatics
Year:
2004

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Abstract

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.