Abstract
We have been developing a web-based analysis tool, KaPPA-View, which enables to view transcriptome data, metabolome data and gene-coexpression data on the metabolic pathway maps. In addition to the existing system that has pathway map data for Arabidopsis (KaPPA-View4 Classic), we developed another version, KaPPA-Veiw4 KEGG, that installed the genes and pathway maps data acquired from the Kyoto Encyclopedia of Genes and Genomes (KEGG). Users can use 290 sheets of well curated KEGG PATHWAY maps, and 380 sheets of gene family maps that are prepared by us from KEGG BRITE categorization. The set of the maps facilitates the researchers to analyze novel gene functions by utilizing gene-to-gene co-expression data. Utilization of KEGG map also enables the users to analyze not only plant species but also animals and microorganisms. Currently, pathway maps for 20 species and gene co-expression data for 12 species in total are available.
URL: http://kpv.kazusa.or.jp/kpv4-kegg/
Sakurai et al. (2011) Nuc. Acids Res. Database Issue, in press
