02008nas a2200457   4500000000100000000000100001008004100002260001500043653002300058653002200081653003200103653002300135653001600158653001700174653002000191653001800211653003800229653001300267653001300280653001700293653001200310653003400322653002200356100001600378700001900394700001500413700001700428700001500445700001800460700002100478700001800499700001300517700002200530700001800552700001800570245005600588300001000644490000700654520087500661022001401536       2002                            d  c2002 Jan 110aChromosome Mapping10aComputer Graphics10aDatabase Management Systems10aDatabases, Genetic10aForecasting10aGenes, Plant10aGenetic Markers10aGenome, Plant10aInformation Storage and Retrieval10aInternet10aMutation10aOryza sativa10aPoaceae10aQuantitative Trait, Heritable10aSequence Homology1 aDoreen Ware1 aPankaj Jaiswal1 aJunjian Ni1 aXiaokang Pan1 aKuan Chang1 aKenneth Clark1 aLeonid Teytelman1 aSteve Schmidt1 aWei Zhao1 aSamuel Cartinhour1 aSusan McCouch1 aLincoln Stein00aGramene: a resource for comparative grass genomics.  a103-50 v303 aGramene (http://www.gramene.org) is a comparative genome mapping database for grasses and a community resource for rice. Rice, in addition to being an economically important crop, is also a model monocot for understanding other agronomically important grass genomes. Gramene replaces the existing AceDB database 'RiceGenes' with a relational database based on Oracle. Gramene provides curated and integrative information about maps, sequence, genes, genetic markers, mutants, QTLs, controlled vocabularies and publications. Its aims are to use the rice genetic, physical and sequence maps as fundamental organizing units, to provide a common denominator for moving from one crop grass to another and is to serve as a portal for interconnecting with other web-based crop grass resources. This paper describes the initial steps we have taken towards realizing these goals.  a1362-4962