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Gramene 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. The database provides curated and integrative information about genetic, physical 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.

Support:
Gramene project is supported by an IFAFS grant from the USDA Cooperative State Research and Education Service (CSREES), PGI grant from the National Science Foundation and a cooperative agreement through the USDA Agricultural Research Service.

Personnel and Curation Responsibilities:
  Pankaj Jaiswal:   Protein and Ontology (controlled vocabulary) database
  Junjian Ni:   Mutant and Phenotype database
  Immanuel Yap:   Maps, Markers, QTL

Publications: http://www.gramene.org/about/index.html

Project Website: www.gramene.org