Who We Are
We are a team of developers, molecular breeders, statisticians, bioinformaticists and breeders with a rich experience in managing data and applying genomic technologies to improve breeding. We are the first large-scale public-sector effort with the goal to systematically apply high-density genotypic information to the breeding of staple crops in the developing world. Initially the focus is on rice, wheat, maize, sorghum and chickpea in South Asia and Sub-Saharan Africa. The genomic data management systems will include databases, imputation systems, and decision support tools for plant breeders.
To build open-source genomic data management and analysis tools to enable breeders to implement genomic and marker-assisted selection as part of their routine breeding programs.
“Connecting Crop Phenotype and Genotype Data Workshop” Plant and Animal Genome XXVII Conference January 12th, 2019
A successful GOBii workshop at PAG
Genomic breeding workshop in China, August 6-8, 2018
Invited and sponsored by Shenyang Agricultural University, Star Gao, Kelly Robbins, and Kate Dreher held…
Alpha testing at Cornell with Collaborators May 2018
CIMMYT, ICRISAT, IRRI, GOBii met at Cornell University May 30-June 1st, to conduct alpha testing…
GOBii Genomics Data Manager (GDM)
GOBii Genomics Data Manager (GDM) consists of a data loader, a database, file systems, data extract, and email notification. Communication between the layers occurs through web services.
GOBii DArT Tools
The GOBii-QC (quality control) module was developed with Diversity Arrays Technology Pty Ltd using their open-source analysis platform KDCompute. GOBii-QC run by KDCompute is fully integrated with the GOBii-GDM system.
GOBii JHI Tools
Marker-Assisted Back Crossing (MABC) module: is an open source platform developed by GOBii with the James Hutton Institute (JHI) for conducting marker-assisted backcross visualization and selection analysis.