The Genome Database for Rosaceae (GDR): year 10 update

Publication Overview
TitleThe Genome Database for Rosaceae (GDR): year 10 update
AuthorsJung S, Ficklin SP, Lee T, Cheng CH, Blenda A, Zheng P, Yu J, Bombarely A, Cho I, Ru S, Evans K, Peace C, Abbott AG, Mueller LA, Olmstead MA, Main D
TypeJournal Article
Journal NameNucleic acids research
Volume42
Issue1
Year2014
Page(s)D1237-44
CitationJung S, Ficklin SP, Lee T, Cheng CH, Blenda A, Zheng P, Yu J, Bombarely A, Cho I, Ru S, Evans K, Peace C, Abbott AG, Mueller LA, Olmstead MA, Main D. The Genome Database for Rosaceae (GDR): year 10 update. Nucleic acids research. 2014 Jan 1; 42(1):D1237-44.

Abstract

The Genome Database for Rosaceae (GDR, http:/www.rosaceae.org), the long-standing central repository and data mining resource for Rosaceae research, has been enhanced with new genomic, genetic and breeding data, and improved functionality. Whole genome sequences of apple, peach and strawberry are available to browse or download with a range of annotations, including gene model predictions, aligned transcripts, repetitive elements, polymorphisms, mapped genetic markers, mapped NCBI Rosaceae genes, gene homologs and association of InterPro protein domains, GO terms and Kyoto Encyclopedia of Genes and Genomes pathway terms. Annotated sequences can be queried using search interfaces and visualized using GBrowse. New expressed sequence tag unigene sets are available for major genera, and Pathway data are available through FragariaCyc, AppleCyc and PeachCyc databases. Synteny among the three sequenced genomes can be viewed using GBrowse_Syn. New markers, genetic maps and extensively curated qualitative/Mendelian and quantitative trait loci are available. Phenotype and genotype data from breeding projects and genetic diversity projects are also included. Improved search pages are available for marker, trait locus, genetic diversity and publication data. New search tools for breeders enable selection comparison and assistance with breeding decision making.

Properties
Additional details for this publication include:
Property NameValue
Publication ModelPrint-Electronic
ISSN1362-4962
eISSN1362-4962
Publication Date2014 Jan 1
Journal AbbreviationNucleic Acids Res.
DOI10.1093/nar/gkt1012
Elocation10.1093/nar/gkt1012
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryEngland
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PMID: PubMedPMID:24225320