%0 Journal Article %J International journal of plant genomics %D 2008 %T The generation challenge programme platform: semantic standards and workbench for crop science. %A Bruskiewich, Richard %A Senger, Martin %A Davenport, Guy %A Ruiz, M %A Rouard, Mathieu %A Hazekamp, Tom %A Takeya, Masaru %A Doi, Koji %A Satoh, Kouji %A Costa, Marcos %A Simon, Reinhard %A Balaji, Jayashree %A Akintunde, Akinnola %A Mauleon, Ramil %A Wanchana, Samart %A Shah, Trushar %A Anacleto, Mylah %A Portugal, Arllet %A Ulat, Victor Jun %A Thongjuea, Supat %A Braak, Kyle %A Ritter, Sebastian %A Dereeper, Alexis %A Skofic, Milko %A Rojas, Edwin %A Martins, Natalia %A Pappas, Georgios %A Alamban, Ryan %A Almodiel, Roque %A Barboza, Lord Hendrix %A Detras, Jeffrey %A Manansala, Kevin %A Mendoza, Michael Jonathan %A Morales, Jeffrey %A Peralta, Barry %A Valerio, Rowena %A Zhang, Yi %A Gregorio, Sergio %A Hermocilla, Joseph %A Echavez, Michael %A Yap, Jan Michael %A Farmer, Andrew %A Schiltz, Gary %A Lee, Jennifer %A Casstevens, Terry %A Jaiswal, Pankaj %A Meintjes, Ayton %A Wilkinson, Mark %A Good, Benjamin %A Wagner, James %A Morris, Jane %A Marshall, David %A Collins, Anthony %A Kikuchi, Shoshi %A Metz, Thomas %A McLaren, Graham %A Hintum,Theo Van %P 369601 %R 10.1155/2008/369601 %V 2008 %X 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. %8 2008