Abstract
Gene coexpression provides key information to understand living systems because coexpressed genes are often involved in the same or related biological pathways. Coexpression data are now used for a wide variety of experimental designs, such as gene targeting, regulatory investigations and/or identification of potential partners in protein–protein interactions. We constructed two databases for Arabidopsis (ATTED-II, http://www.atted.bio.titech.ac.jp) and mammals (COXPRESdb, http://coxpresdb.hgc.jp). Based on pairwise gene coexpression, coexpressed gene networks were prepared in these databases. To support gene coexpression, known protein-protein interactions, common metabolic pathways and conserved coexpression were also represented on the networks. We used Google Maps API to visualize large networks interactively. In this talk, the relationships of the coexpression database with other large-scale data will be discussed, in addition to data construction procedures and typical usages of coexpression data.
