Abstract
We have developed a tool, named "RiCES", which is easlily usable by accessing http://hpc.irri.cgiar.org/tool/nias/ces and help research of gene expression mechanism of rice. Researchers who interested in certain gene sets, e.g. drought stress responsive genes, can apply those genes to RiCES, and can obtain cis-element candidates more frequently distributed in promoter region of those genes than others. RiCES can list conserved motifs from promoter region of given gene set, and can evaluates the likelihood of these motifs, as well as those of previously known cis-element motifs. The evaluation is achieved by association rule analysis, a popular data mining method to find hidden relationships. The candidates showing the highest likelihood (specificity) are retained in the final cis-element candidate list. Here we present the current progress of case studies to evaluate accuracy of the tool and to achieve new discovery of cis-elements.
