Background Modern biology uses experimental systems that involve the exploration of
phenotypic variation as a result of the recombination of several genomes. Such systems are
useful to investigate the functional evolution of metabolic networks. One such approach is
the analysis of transcript and metabolite profiles. These kinds of studies generate a large
amount of data, which require dedicated computational tools for their analysis. Results This
paper presents a novel software named* omeSOM (transcript/metabol-ome Self Organizing …