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|Title||The generation challenge programme platform: semantic standards and workbench for crop science.|
|Publication Type||Journal Article|
|Year of Publication||2008|
|Authors||Bruskiewich, R, Senger, M, Davenport, G, Ruiz, M, Rouard, M, Hazekamp, T, Takeya, M, Doi, K, Satoh, K, Costa, M, Simon, R, Balaji, J, Akintunde, A, Mauleon, R, Wanchana, S, Shah, T, Anacleto, M, Portugal, A, Ulat, VJun, Thongjuea, S, Braak, K, Ritter, S, Dereeper, A, Skofic, M, Rojas, E, Martins, N, Pappas, G, Alamban, R, Almodiel, R, Barboza, LHendrix, Detras, J, Manansala, K, Mendoza, MJonathan, Morales, J, Peralta, B, Valerio, R, Zhang, Y, Gregorio, S, Hermocilla, J, Echavez, M, Yap, JMichael, Farmer, A, Schiltz, G, Lee, J, Casstevens, T, Jaiswal, P, Meintjes, A, Wilkinson, M, Good, B, Wagner, J, Morris, J, Marshall, D, Collins, A, Kikuchi, S, Metz, T, McLaren, G, van Hintum, T|
|Journal||International journal of plant genomics|
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.