FunCluster is a genomic data analysis tool designed to perform a functional analysis of gene expression data obtained from cDNA microarray experiments. Besides automated functional annotation of gene expression data, FunCluster functional analysis allows to detect co-regulated biological processes (i.e. represented by annotating genomic themes) through a specifically designed co-clustering procedure involving biological annotations and gene expression data. FunCluster’s functional analysis relies on Gene Ontology and KEGG annotations and is currently available for three organisms: Homo sapiens, Mus musculus and Saccharomyces cerevisiae.
- Linux / MacOsX / Windows
- R package
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Clustering biological annotations and gene expression data to identify putatively co-regulated biological processes
Henegar C, Cancello R, Rome S, Vidal H, Clement K, Zucker JD
J Bioinform Comput Biol. 2006 Aug;4(4):833-52.