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.
Hima Bindu Kudap gave talk at AICRP-Sorghum Annual Group meeting April 2018
Hima Bindu Kudapa, scientist (Genomics and Molecular Breeding), Research Program-Genetic Gains, ICRISAT, gave a talk…
Susan McCouch, elected to the National Academy of Sciences (NAS)
The GOBii team at Cornell cheered PI Susan McCouch's election to the National Academy of…
GOBii Hackathon at ICRISAT – April 2018
Developers met at ICRISAT, India for a GOBii Hackathon to review topics such as HDF5…
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.