Abstract
In order to improve productivity of metabolites from industrially useful plants, we are currently working on bioinformatics for correlating genes with metabolic pathways. Integration of both transcriptome and metabolome data on pathway maps will provide insight into gene function. In this study, we develop a web-based plant metabolic pathway viewer, Kazusa Pathway Viewer (KPV). KPV stores both metabolic and transcriptional profiling data to display simultaneously these profiles on metabolic pathways. For construction of pathway maps, we intend to integrated related pathways on single maps for intelligent viewing of complex paths, and adopted the scalable vector graphic (SVG) format that allows us displaying data dynamically. In the initial version, we set up the viewer for the model plant Arabidopsis thaliana. We plan to add pathways of the legume model Lotus japonicus, industrially useful plants, and crops.
