The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science

Author:

Bruskiewich Richard1,Senger Martin1,Davenport Guy2,Ruiz Manuel3,Rouard Mathieu4,Hazekamp Tom4,Takeya Masaru5,Doi Koji5,Satoh Kouji5,Costa Marcos6,Simon Reinhard7,Balaji Jayashree8,Akintunde Akinnola9,Mauleon Ramil1,Wanchana Samart110,Shah Trushar2,Anacleto Mylah1,Portugal Arllet1,Ulat Victor Jun1,Thongjuea Supat10,Braak Kyle2,Ritter Sebastian2,Dereeper Alexis3,Skofic Milko4,Rojas Edwin7,Martins Natalia6,Pappas Georgios6,Alamban Ryan1,Almodiel Roque1,Barboza Lord Hendrix1,Detras Jeffrey1,Manansala Kevin1,Mendoza Michael Jonathan1,Morales Jeffrey1,Peralta Barry1,Valerio Rowena1,Zhang Yi1,Gregorio Sergio111,Hermocilla Joseph111,Echavez Michael112,Yap Jan Michael112,Farmer Andrew13,Schiltz Gary13,Lee Jennifer14,Casstevens Terry15,Jaiswal Pankaj15,Meintjes Ayton16,Wilkinson Mark17,Good Benjamin1819,Wagner James1819,Morris Jane16,Marshall David14,Collins Anthony7,Kikuchi Shoshi5,Metz Thomas1,McLaren Graham1,van Hintum Theo20

Affiliation:

1. Crop Research Informatics Laboratory, International Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, Philippines

2. Crop Research Informatics Laboratory, International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, Mexico, DF 06600, Mexico

3. Centre International de Recherche Agronomique pour le Développement (CIRAD), Avenue Agropolis, Montpellier, Cedex 5 34398, France

4. Bioversity International, Via dei Tre Denari 472/a, 00057 Maccarese (Fiumicino), Rome, Italy

5. National Institute for Agrobiological Sciences (NIAS), Kannondai 2-1-2, Tsukuba, Ibaraki 305-8602, Japan

6. Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA), Parque Estação Biologia Final W5 Norte, Brasilia, DF 70770-900, Brazil

7. Centro Internacional de la Papa (CIP), Avenida La Molina 1895, La Molina, Apartado Postal 1558, Lima 12, Peru

8. International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Andhra Pradesh 502324, India

9. International Center for Agricultural Research in the Dry Areas, P.O. Box 5466, Aleppo, Syria

10. National Center for Genetic Engineering and Biotechnology, 113 Thailand Science Park, Phahonyothin Road, Klong 1, Klong Luang, Pathumthani 12120, Thailand

11. Institute of Computer Science, College of Arts and Sciences, University of the Philippines, Los Baños, Laguna 4031, Philippines

12. Department of Computer Science, University of the Philippines, Room 215, Melchor Hall, Diliman, Quezon City 1101, Philippines

13. National Center for Genome Resources, 2935 Rodeo Park Drive East, Santa Fe, NM 87505, USA

14. Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK

15. Department of Plant Breeding, Cornell University, Ithaca, NY 14853, USA

16. African Centre for Gene Technologies, P.O. Box 75011, Lynnwood Ridge 0040, South Africa

17. Department of Medical Genetics, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada V6T 1Z3

18. School of Computing Science, Simon Fraser Universtiy, 8888 University Drive, Burnaby, BC, Canada V5A 1S6

19. Bioinformatics Graduate Program, Genome Sciences Centre, BC Cancer Agency, 100-570 West 7th Avenue, Vancouver, BC, Canada V5Z 4S6

20. Centre for Genetic Resources, The Netherlands (CGN), P.O. Box 16, Wageningen 6700 AA, The Netherlands

Abstract

The Generation Challenge programme (GCP) is a global crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. A key consortium research activity is the development of a GCP crop bioinformatics platform to support GCP research. This platform includes the following: (i) shared, public platform-independent domain models, ontology, and data formats to enable interoperability of data and analysis flows within the platform; (ii) web service and registry technologies to identify, share, and integrate information across diverse, globally dispersed data sources, as well as to access high-performance computational (HPC) facilities for computationally intensive, high-throughput analyses of project data; (iii) platform-specific middleware reference implementations of the domain model integrating a suite of public (largely open-access/-source) databases and software tools into a workbench to facilitate biodiversity analysis, comparative analysis of crop genomic data, and plant breeding decision making.

Publisher

Hindawi Limited

Subject

Plant Science,Genetics

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