The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science
2008
Bruskiewich, Richard | Senger, Martin | Davenport, Guy | Ruiz, Manuel | Rouard, Mathieu | Hazekamp, Tom | Takeya, Masaru | Doi, Koji | Satoh, Kouji | Costa, Marcos | Simon, Reinhard | Balaji, Jayashree | Akintunde, Akinnola | Mauleon, Ramil | Wanchana, Samart | Shah, Trushar | Anacleto, Mylah | Portugal, Arllet | Ulat, Victor Jun | Thongjuea, Supat | Braak, Kyle | Ritter, Sebastian | Dereeper, Alexis | Skofic, Milko | Rojas, Edwin | Martins, Natalia | Pappas, Georgios | Alamban, Ryan | Almodiel, Roque | Barboza, Lord Hendrix | Detras, Jeffrey | Manansala, Kevin | Mendoza, Michael Jonathan | Morales, Jeffrey | Peralta, Barry | Valerio, Rowena | Zhang, Yi | Gregório, Sérgio | Hermocilla, Joseph | Echavez, Michael | Yap, Jan Michael | Farmer, Andrew | Schiltz, Gary | Lee, Jennifer | Casstevens, Terry | Jaiswal, Pankaj | Meintjes, Ayton | Wilkinson, Mark | Good, Benjamin | Wagner, James | Morris, Jane | Marshall, David | Collins, Anthony | Kikuchi, Shoshi | Metz, Thomas | McLaren, Graham | van Hintum, Theo
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.
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Este registro bibliográfico ha sido proporcionado por National Agricultural Library