C19
Updates to CottonGen: The Community Database for Genomics, Genetics and Breeding Research in Cotton

Date: Tuesday, January 12, 2016
Time: 12:10 PM
Room: California
Jing Yu , Washington State University, Pullman, WA
Sook Jung , Washington State University, Pullman, WA
Chun-Huai Cheng , Washington State University, Pullman, WA
Taein Lee , Washington State University, Pullman, WA
Katheryn Buble , Washington State University, Pullman, WA
Ping Zheng , Washington State University, Pullman, WA
Jodi L. Humann , Washington State University, Pullman, WA
Deah McGaughey , Washington State University, Pullman, WA
Heidi Hough , Washington State University, Pullman, WA
Stephen P. Ficklin , Washington State University, Pullman, WA
B. Todd Campbell , USDA-ARS, Florence, SC
Richard G. Percy , USDA-ARS, Southern Plains Agricultural Research Center, College Station, TX
Don C. Jones , Cotton Incorporated, Cary, NC
Dorrie Main , Washington State University, Pullman, WA
PDF file
CottonGen (http://www.cottongen.org) is the community database for basic, translational and applied research in cotton. Developed using Tripal, an open-source, resource-efficient, standardized platform for biological database construction, it provides an online portal of curated and integrated genomics, genetics and breeding data, combined with a suite of tools facilitating intuitive data mining and analysis. We highlight new data and functionality in CottonGen, with a particular emphasis on application in breeding, and present future plans for development over the next 5 years for this industry, USDA, USDA-ARS funded resource.
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