Abstract
Arabidopsis is one of the most important model plants at post-genome era. Several public databases, which rapidly grow every day, are available to researchers to explore Arabidopsis genetic information (e.g., sequence, annotation, GO, metabolic pathway and gene expression). However, it is time-consuming to frequently traverse every distinct database sites. As these interfaces and database schemata are not uniform, researchers have to learn how to use each database. Moreover, GO analysis is also troublesome to find the ancestor nodes defined by the brief GO_terms, since the majority of GO_terms appears at more than one node in Dag (directed acyclic graphs). To avoid these difficulties, we have developed a database KATANA (Kazusa Arabidopsis thaliana Annotation Abstract. http://www.kazusa.or.jp/katana/). Our database can simultaneously and quickly give the answer of the distinct databases to researchers' queries. KATANA accelerates the data-mining in plant functional genomics.
