The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science. R, B., M, S., G, D., M, R., M, R., T, H., M, T., K, D., K, S., M, C., R, S., J, B., A, A., R, M., S, W., T, S., M, A., A, P., Vj, U., S, T., K, B., S, R., A, D., M, S., E, R., N, M., G, P., R, A., R, A., Lh, B., J, D., K, M., Mj, M., J, M., B, P., R, V., Y, Z., S, G., J, H., M, E., Jm, Y., A, F., G, S., J, L., T, C., P, J., A, M., M, W., B, G., J, W., J, M., D, M., A, C., S, K., T, M., G, M., & Hintum, V. International Journal of Plant Genomics, 2008:369601, 4, 2008. Website abstract bibtex 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.
@article{
title = {The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science},
type = {article},
year = {2008},
keywords = {genomics},
pages = {369601},
volume = {2008},
websites = {http://dx.doi.org/10.1155/2008/369601},
month = {4},
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last_modified = {2017-03-22T07:45:59.566Z},
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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.},
bibtype = {article},
author = {R, Bruskiewich and M, Senger and G, Davenport and M, Ruiz and M, Rouard and T, Hazekamp and M, Takeya and K, Doi and K, Satoh and M, Costa and R, Simon and J, Balaji and A, Akintunde and R, Mauleon and S, Wanchana and T, Shah and M, Anacleto and A, Portugal and Vj, Ulat and S, Thongjuea and K, Braak and S, Ritter and A, Dereeper and M, Skofic and E, Rojas and N, Martins and G, Pappas and R, Alamban and R, Almodiel and Lh, Barboza and J, Detras and K, Manansala and Mj, Mendoza and J, Morales and B, Peralta and R, Valerio and Y, Zhang and S, Gregorio and J, Hermocilla and M, Echavez and Jm, Yap and A, Farmer and G, Schiltz and J, Lee and T, Casstevens and P, Jaiswal and A, Meintjes and M, Wilkinson and B, Good and J, Wagner and J, Morris and D, Marshall and A, Collins and S, Kikuchi and T, Metz and G, McLaren and Hintum, Van},
journal = {International Journal of Plant Genomics}
}
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