Steven Schmidt

TL;DR: This high-density SNP map provides a public resource for defining haplotype variation across the genome, and should help to identify biomedically important genes for diagnosis and therapy.

TL;DR: Gramene replaces the existing AceDB database 'RiceGenes' with a relational database based on Oracle, which aims 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 to serve as a portal for interconnecting with other web-based crop grass resources.

TL;DR: Gramene is a one stop portal for finding curated literature, genetic and genomic datasets related to maps, markers, genes, genomes and quantitative trait loci and contributes to the authors' understanding of the anatomy, development, environmental responses and the factors influencing agronomic performance of cereal crops.

TL;DR: A brief overview of the search tools available to the plant research community in Gramene is presented, making extensive use of controlled vocabularies to describe specific biological attributes in ways that permit users to query those domains and make comparisons across taxonomic groups.

TL;DR: Gramene is populating and curating Gramene with annotated rice genomic sequence data and associated biological information including molecular markers, mutants, phenotypes, polymorphisms and Quantitative Trait Loci in order to support queries across various data sets as well as across external databases.