The GOBII Project: Genomic Data Management for the Implementation of Genomic Selection

In the last ten years, genotyping costs have dropped significantly, making feasible powerful new breeding approaches that can take advantage of the vast amounts of genomic data that have been generated. The Genomic & Open-source Breeding Informatics Initiative (GOBII) is the first large-scale public-sector effort to enable systematic application of high-density genotypic information to the breeding of staple crops in the developing world, through the development of a genomic data management system and analysis pipelines. The genomic data management system is comprised of a data warehouse (postgreSQL, Monet, and HDF5), a service layer with a BrAPI compliant RESTFUL API, and GUIs for loading and extracting data. An overview of system architecture, features, and development timelines will be presented.

Philip Glaser¹, Yanxin Gao², Elizabeth Jones², Yaw A. Nti-Addae², Kevin Palis³, Syed Raza², Joshua Lamos-Sweeney², Angel Villahoz-Baleta², Kelly Robbins², Jean-Luc Jannink⁴, Lukas Mueller³, Mark E Sorrells², Qi Sun⁵, Edward S. Buckler⁶ and Susan McCouch², (1)Cornell Institute of Biotechnology, Ithaca, NY, (2)Cornell University, Ithaca, NY, (3)Boyce Thompson Institute, Ithaca, NY, (4)USDA-ARS, Ithaca, NY, (5)Institute for Genomic Diversity, Cornell University, Ithaca, NY, (6)USDA-ARS-Cornell University, Ithaca, NY