P0441
GOBII: Genomic Open-source Breeding Informatics Initiative

Philip Glaser , Cornell Institute of Biotechnology, Ithaca, NY
Yanxin Gao , Cornell University, Ithaca, NY
Elizabeth Jones , GOBII Project, Biotechnology Dept, Cornell University, Ithaca, NY
Yaw A. Nti-Addae , Cornell University, Ithaca, NY
Kevin Palis , Boyce Thompson Institute, Ithaca, NY
Syed Raza , Cornell University, Ithaca, NY
Joshua Lamos-Sweeney , Cornell University, Ithaca, NY
Angel Villahoz-Baleta , Cornell University, Ithaca, NY
Kelly Robbins , Cornell University, Ithaca, NY
Jean-Luc Jannink , USDA-ARS, Ithaca, NY
Lukas Mueller , Boyce Thompson Institute, Ithaca, NY
Mark E Sorrells , Cornell University, Ithaca, NY
Qi Sun , Institute for Genomic Diversity, Cornell University, Ithaca, NY
Edward S. Buckler , USDA-ARS-Cornell University, Ithaca, NY
Susan McCouch , Cornell University, Ithaca, NY
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 provide an open-source solution for storing, querying, and applying analysis pipelines to high-density genotypic information. The GOBII system is comprised of a data warehouse (PostgreSQL, MonetDB, and HDF5), a web service layer with a BrAPI compliant RESTful API, and GUIs for loading and extracting data. Technologies and key features comprising the system will be presented.
Back to: Bioinformatics: Software
<< Previous Poster | Next Poster >>