01864nas a2200241   4500000000100000000000100001008004100002260001300043653002300056653004600079653003800125653001700163653001300180653001700193653002800210100002000238700001900258245010500277300000900382490000700391520121000398022001401608       2005                            d  c2005 Jan10aDatabases, Genetic10aGene Expression Regulation, Developmental10aGene Expression Regulation, Plant10aGenes, Plant10aMutation10aOryza sativa10aQuantitative Trait Loci1 aYukiko Yamazaki1 aPankaj Jaiswal00aBiological ontologies in rice databases. An introduction to the activities in Gramene and Oryzabase.  a63-80 v463 aAn enormous amount of information and materials in the field of biology has been accumulating, such as nucleotide and amino acid sequences, gene and protein functions, mutants and their phenotypes, and literature references, produced by the rapid development in this field. Effective use of the information may strongly promote biological studies, and may lead to many important findings. It is, however, time-consuming and laborious for individual researchers to collect information from individual original sites and to rearrange it for their own purpose. A concept, ontology, has been introduced in biology to support and encourage researchers to share and reuse information among biological databases. Ontology has a glossary, named dynamic controlled vocabulary, in which relationships between terms are defined. Since each term is strictly defined and identified with an ID number, a set of data represented in biological ontology is easily accessible to automated information processing, even if the data sets are across several databases and/or different organisms. In this mini-review, we introduce activities in Gramene and Oryzabase, which provide biological ontologies for Oryza sativa (rice).  a0032-0781