Page tree
Skip to end of metadata
Go to start of metadata

 

About

Genomic Open-source Breeding Informatics Initiatives (GOBii) is the first large-scale public-sector effort to systematically apply high-density genotypic information to the breeding of staple crops in the developing world. The project will develop and implement genomic data management systems to enhance the capacity of public sector breeding programs to deliver increased rates of genetic gain. 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, data loader, data extractor, imputation systems, and decision support tools for plant breeders.

Teams

People on the GOBii project consists of software developers and engineers, molecular biologists, geneticists, curators, breeders, and bioinformatics etc. from Cornell University, International Maize and Wheat Improvement Center (CIMMYT - Mexico, Africa), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT - India), and International Rice Research Institute (IRRI - the Philippines).

Leadership Team

Elizabeth JonesDirector
Star Yanxin GaoApplication Specialist and Training/Workshop Coordinator
Yaw Nti-AddaeSoftware Development Leader

Application Team

Cornell Unv.CIMMYTICRISATIRRI
Elizabeth JonesKate DreherAbhishek RathorJeffrey Detras
Star Yanxin GaoClaudio HernandezHima BinduJohn Carlos Ignacio
Yaw Nti-AddaeRosemary ShresthaManish Roorkiwal 
Deb WeigandUmesh RosyaraKumar Anil 
 Xuecai ZhangRoma Das 

Software Development Team

Angel Manica Raquel

Angel Villahoz–Baleta

Chaitanya Sarma

Dave Matthews


 

Joshua Lamos-Sweeney

Kevin  Palis

Phil Glaser



Prasad Bajaj

Selvanayagam Sivasubramani

Deb Weigand

 

Venice Margarette Juanillas


Viana Carla C. Calaminos

Victor Jun Ulat

Yaw Nti-Addae

Principal Investigators (PIs): 


PIInstitution
Susan McCouch (Lead PI)Cornell University
Ed BucklerUSDA-ARS, adjunct with Cornell University
Jean-Luc JanninkUSDA-ARS
Kelly RobbinsCornell University
Lukas Mueller

Boyce Thompson Inst.

Mark SorrellsCornell University
Qi SunCornell University
Mike OlsenCIMMYT
Kate DreherCIMMYT
Susanne DreisigackerCIMMYT
Rajeev VarshneyICRISAT
Ramil MauleonIRRI
Josh CobbIRRI


Steering Teams 

 

CIMMYT (6)

IRRI (7)

ICRISAT (6)

Mike Olsen, Steering Committee Chair

Ramil Mauleon-GOBII IRRI Co-PI, Bioinformatics Specialist

Rajeev Varshney

Kate Dreher, GOBII CIMMYT PI, Data Coordinator

Joshua Cobb-GOBII IRRI Co-PI, Breeding Lead - Favorable Environments

Santosh DESHPANDE

Susanne Dreisigacker, GOBII CIMMYT Co-PI, wheat molecular breeder

Marco Van den Berg, Head of IRRI IT

Pradyut Modi

Sarah Hearne – Genetic Resource Program, SeedDiscovery Lead

Marko Karkkainen - Lead developer B4R (IRRI consultant)

Abhishek Rathore

Jens Riis-Jacobsen – Head of CIMMYT ITU

Jessica Rutkoski -Scientist & Quantitative Genetics Cluster Lead

Prasad Bajaj

 Victor Jun Ulat, Bioinformatics lead


Ashok Kumar



Pooran Gaur

 


Bharadwaj Chellapilla


Scientific Advisory Board (SAB): 


SAB

Institution

Dan StanzioneTexas Advanced Computing Center
Dean PodlichPioneer
Dorian GarrickIowa State University
Jan Erik BacklundIntegrated Breeding Platform (IBP)
Julie HoForage Genetics
Nirav MerchantArizona University
Rebecca DoergeCarnegie Mellon University
Steve RounsleyGenus PLC
Amy L Williams Cornell University
Chris SchönTechnische Universität München
Stella SalvoMonsanto

                             

                                                                                                                                                                                                                                                                                                                                                   

Collaborators

 

Releases

Data Loader

Data Extractor

GOBii Application-Breeding-Curation (GABC) tools

Citing GOBii

 

License


MIT License

Copyright (c) 2017 gobiiproject

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

 

 

 

  • No labels