W314
Genome Database for Rosaceae

Date: Saturday, January 12, 2013
Time: 12:00 PM
Room: Pacific Salon 3
Dorrie Main , Washington State University, Pullman, WA
Sook Jung , Washington State University, Pullman, WA
Taein Lee , Washington State University, Pullman, WA
Stephen P. Ficklin , Washington State University, Pullman, WA
Ping Zheng , Washington State University, Pullman, WA
Chun-Huai Cheng , Washington State University, Pullman, WA
Sushan Ru , Washington State University, Pullman, WA
Anna Blenda , Genetics and Biochemistry, Clemson University, Clemson, SC
Lukas Mueller , Boyce Thompson Institute for Plant Research, Ithaca, NY
Aureliano Bombarely Gomez , Plant Biology Department, Cornell University, Ithaca, NY
Desmond Layne , Clemson University, Clemson, SC
Mercy Olmstead , University of Florida, Gainesville, FL
Chunxian Chen , University of Florida, IFAS-CREC, Lake Alfred, FL
Cameron Peace , Washington State University, Pullman, WA
Katherine M. Evans , Washington State University, Wenatchee, WA
Nnadozie Oraguzie , Washington State University, Prosser, WA
Fred G. Gmitter , University of Florida, IFAS-CREC, Lake Alfred, FL
Albert G. Abbott , Clemson University, Clemson, SC
PDF file
GDR (www.rosaceae.org) is a long standing community database resource for basic, translational and applied research in the diverse, economically and biologically important Rosaceae family. In the database genomic, genetic and breeding data are integrated in such a way that users can seamlessly access all the associated data from their entry point of interest.  In this presentation we provide specific data mining examples to highlight the latest database functionality. This includes browsing and searching the annotated genomes by gene function, identifying potentially common QTLs and underlying genes between species through synteny and pathway analysis and how these are linked to information about germplasm and breeding lines.
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