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

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Author(s): Richard Bruskiewich | Martin Senger | Guy Davenport | Manuel Ruiz | Mathieu Rouard | Tom Hazekamp | Masaru Takeya | Koji Doi | Kouji Satoh | Marcos Costa | Reinhard Simon | Jayashree Balaji | Akinnola Akintunde | Ramil Mauleon | Samart Wanchana | Trushar Shah | Mylah Anacleto | Arllet Portugal | Victor Jun Ulat | Supat Thongjuea | Kyle Braak | Sebastian Ritter | Alexis Dereeper | Milko Skofic | Edwin Rojas | Natalia Martins | Georgios Pappas | Ryan Alamban | Roque Almodiel | Lord Hendrix Barboza | Jeffrey Detras | Kevin Manansala | Michael Jonathan Mendoza | Jeffrey Morales | Barry Peralta | Rowena Valerio | Yi Zhang | Sergio Gregorio | Joseph Hermocilla | Michael Echavez | Jan Michael Yap | Andrew Farmer | Gary Schiltz | Jennifer Lee | Terry Casstevens | Pankaj Jaiswal | Ayton Meintjes | Mark Wilkinson | Benjamin Good | James Wagner | Jane Morris | David Marshall | Anthony Collins | Shoshi Kikuchi | Thomas Metz | Graham McLaren | Theo van Hintum

Journal: International Journal of Plant Genomics
ISSN 1687-5370

Volume: 2008;
Date: 2008;
Original page

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.

Tango Jona
Tangokurs Rapperswil-Jona

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