Abstract
To integrate metabolomic data generated by analytical instruments with transcriptomic data obtained by microarray experiments, and to facilitate identification of gene functions and metabolic regulations, we developed a web-based analytical tool, KaPPA-View (kpv.kazusa.or.jp/kappa-view/), which represents profile changes of transcriptome and metabolome as color changes of symbols for genes and metabolites on pathway maps. Here we report the new version of the tool, KaPPA-View2. Availability of a lot of gene expression data in public enables us to investigate regulatory features of gene expressions by calculating indices such as Pearson's correlation coefficients. KaPPA-View2 can represent inter-gene and inter-metabolite relationships as smooth curves overlay on pathway maps. Gene expression correlation data provided from ATTED-II (www.atted.bio.titech.ac.jp) and user-uploaded data are available to draw relationship curves. This function facilitates us to elucidate functional differences between paralogous genes.
