Abstract: Genome Database for Rosaceae - a Resource Efficient Tripal Database Platform for Genomics, Genetics and Breeding Research. (ASA, CSSA and SSSA International Annual Meetings (2015))

256-6 Genome Database for Rosaceae - a Resource Efficient Tripal Database Platform for Genomics, Genetics and Breeding Research.

See more from this Division: C01 Crop Breeding & Genetics
See more from this Session: Symposium--Crop Breeding Databases

Tuesday, November 17, 2015: 3:00 PM

Minneapolis Convention Center, L100 A

Dorrie Main¹, Sook Jung², Stephen Ficklin², Jing Yu², Chun-Huai Cheng², Taein Lee², Heidi Hough², Cameron Peace³, Kate Evans⁴, Lisa Wasko DeVetter⁵, Ksenija Gasic⁶, Mercy Olmstead⁷, Michael Coe⁸, Kristin Scott⁹, Jodi Humann², Ping Zheng², Lichun Cai¹⁰, Anna Blenda¹¹ and Michael Byrd¹¹, (1)45 Johnson Hall, Washington State University, Pullman, WA
(2)Department of Horticulture, Washington State University, Pullman, WA
(3)Washington State University, Pullman, WA
(4)Department of Horticulture, Washington State University, Wenatchee, WA
(5)Department of Horticulture, Washington State University, Mount Vernon, WA
(6)School of Agricultural, Forest and Environmental Sciences, Clemson University, Clemson, SC
(7)PO Box 110690, University of Florida, Gainesville, FL
(8)Cedar Lake Research Group, Portland, OR
(9)School of Molecular Biosciences, Washington State University, Pullman, WA
(10)Department of Horticulture, Michigan State University, East lansing, MI
(11)Biology, Erskine College, Erskine, SC

Audio File Recorded Presentation

Abstract:

The Genome Database for Rosaceae (GDR, www.rosaceae.org) is the community database for basic, translational and applied research in almond, apple, apricot, blackberry, cherry, peach, pear, raspberry, rose and strawberry. Developed using Tripal, an open-source, resource-efficient, standardized platform for biological database construction, it provides an online portal of up to date, curated and integrated genomics, genetics and breeding data, combined with a suite of tools facilitating intuitive data mining and analysis. We highlight the main features of GDR in Tripal from a user perspective and indicate future plans for new functionality, as supported by current USDA and NSF funding through 2019.

See more from this Division: C01 Crop Breeding & Genetics
See more from this Session: Symposium--Crop Breeding Databases

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