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.
GOBii Hackathon at ICRISAT – April 2018
Developers met at ICRISAT, India for a GOBii Hackathon to review topics such as HDF5…
GOBii/EiB cross-project workshop showcases integrated breeding resources and tools to African partners
“We are at a pivotal point in time where there are several open-source data systems…
Open-source tools accelerate plant breeding in developing countries
Crop breeders in developing countries can now access free tools to accelerate the breeding of…
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.