TY - JOUR
KW - Chromosome Mapping
KW - Computer Graphics
KW - Database Management Systems
KW - Databases, Genetic
KW - Forecasting
KW - Genes, Plant
KW - Genetic Markers
KW - Genome, Plant
KW - Information Storage and Retrieval
KW - Internet
KW - Mutation
KW - Oryza sativa
KW - Poaceae
KW - Quantitative Trait, Heritable
KW - Sequence Homology
AU - Doreen Ware
AU - Pankaj Jaiswal
AU - Junjian Ni
AU - Xiaokang Pan
AU - Kuan Chang
AU - Kenneth Clark
AU - Leonid Teytelman
AU - Steve Schmidt
AU - Wei Zhao
AU - Samuel Cartinhour
AU - Susan McCouch
AU - Lincoln Stein
AB - Gramene (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.
BT - Nucleic acids research
C1 - http://www.ncbi.nlm.nih.gov/pubmed/11752266?dopt=Abstract
DA - 2002 Jan 1
IS - 1
J2 - Nucleic Acids Res.
LA - eng
N2 - Gramene (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.
PY - 2002
SP - 103
EP - 5
T2 - Nucleic acids research
TI - Gramene: a resource for comparative grass genomics.
VL - 30
SN - 1362-4962
ER -