The generation challenge programme platform: Semantic standards and workbench for crop science
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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Format: | Article biblioteca |
Language: | English |
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Hindawi Publishing Corporation :
2008
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, CROP IMPROVEMENT, GENETIC RESOURCES, PLANT BREEDING, BIODIVERSITY, COMPUTER APPLICATIONS, DIGITAL TECHNOLOGY, DATA PROCESSING, |
Online Access: | https://hdl.handle.net/10883/22009 |
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dig-cimmyt-10883-220092022-09-02T18:58:42Z The generation challenge programme platform: Semantic standards and workbench for crop science Bruskiewich, R. Senger, M. Davenport, G. Ruíz, M. Rouard, M. Hazekamp, T. Takeya, M. Koji Doi Kouji Satoh Costa, M. Simon, R. Jayashree, B. Akinnola Nathaniel Akintunde Mauleon, R. Wanchana, S. Shah, T. Anacleto, M. Portugal, A. Ulat, V.J. Thongjuea, Supat Braak, K. Ritter, S. Dereeper, A. Skofic, M. Rojas, E. Martins, N. Pappas, G. Alamban, R. Almodiel, R. Barboza, L.H. Detras, J. Manansala, K. Mendoza, M.J. Morales, J. Peralta, B. Valerio, R. Yi Zhang Gregorio, S. Hermocilla, J. Echavez, M. Yap, J.M. Farmer, A. Schiltz, G. Lee, J. Casstevens, T. Jaiswal, P. Meintjes, A. Wilkinson, M.D. Good, B. Wagner, J. Morris, J. Marshall, D. Collins, A. Kikuchi, S. Metz, T. McLaren, C. van Hintum, T. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY CROP IMPROVEMENT GENETIC RESOURCES PLANT BREEDING BIODIVERSITY COMPUTER APPLICATIONS DIGITAL TECHNOLOGY DATA PROCESSING 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. 2022-03-05T01:00:19Z 2022-03-05T01:00:19Z 2008 Article Published Version https://hdl.handle.net/10883/22009 10.1155/2008/369601 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access USA Hindawi Publishing Corporation : 2008 16875370 International Journal of Plant Genomics 369601 |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY CROP IMPROVEMENT GENETIC RESOURCES PLANT BREEDING BIODIVERSITY COMPUTER APPLICATIONS DIGITAL TECHNOLOGY DATA PROCESSING AGRICULTURAL SCIENCES AND BIOTECHNOLOGY CROP IMPROVEMENT GENETIC RESOURCES PLANT BREEDING BIODIVERSITY COMPUTER APPLICATIONS DIGITAL TECHNOLOGY DATA PROCESSING |
spellingShingle |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY CROP IMPROVEMENT GENETIC RESOURCES PLANT BREEDING BIODIVERSITY COMPUTER APPLICATIONS DIGITAL TECHNOLOGY DATA PROCESSING AGRICULTURAL SCIENCES AND BIOTECHNOLOGY CROP IMPROVEMENT GENETIC RESOURCES PLANT BREEDING BIODIVERSITY COMPUTER APPLICATIONS DIGITAL TECHNOLOGY DATA PROCESSING Bruskiewich, R. Senger, M. Davenport, G. Ruíz, M. Rouard, M. Hazekamp, T. Takeya, M. Koji Doi Kouji Satoh Costa, M. Simon, R. Jayashree, B. Akinnola Nathaniel Akintunde Mauleon, R. Wanchana, S. Shah, T. Anacleto, M. Portugal, A. Ulat, V.J. Thongjuea, Supat Braak, K. Ritter, S. Dereeper, A. Skofic, M. Rojas, E. Martins, N. Pappas, G. Alamban, R. Almodiel, R. Barboza, L.H. Detras, J. Manansala, K. Mendoza, M.J. Morales, J. Peralta, B. Valerio, R. Yi Zhang Gregorio, S. Hermocilla, J. Echavez, M. Yap, J.M. Farmer, A. Schiltz, G. Lee, J. Casstevens, T. Jaiswal, P. Meintjes, A. Wilkinson, M.D. Good, B. Wagner, J. Morris, J. Marshall, D. Collins, A. Kikuchi, S. Metz, T. McLaren, C. van Hintum, T. The generation challenge programme platform: Semantic standards and workbench for crop science |
description |
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. |
format |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY CROP IMPROVEMENT GENETIC RESOURCES PLANT BREEDING BIODIVERSITY COMPUTER APPLICATIONS DIGITAL TECHNOLOGY DATA PROCESSING |
author |
Bruskiewich, R. Senger, M. Davenport, G. Ruíz, M. Rouard, M. Hazekamp, T. Takeya, M. Koji Doi Kouji Satoh Costa, M. Simon, R. Jayashree, B. Akinnola Nathaniel Akintunde Mauleon, R. Wanchana, S. Shah, T. Anacleto, M. Portugal, A. Ulat, V.J. Thongjuea, Supat Braak, K. Ritter, S. Dereeper, A. Skofic, M. Rojas, E. Martins, N. Pappas, G. Alamban, R. Almodiel, R. Barboza, L.H. Detras, J. Manansala, K. Mendoza, M.J. Morales, J. Peralta, B. Valerio, R. Yi Zhang Gregorio, S. Hermocilla, J. Echavez, M. Yap, J.M. Farmer, A. Schiltz, G. Lee, J. Casstevens, T. Jaiswal, P. Meintjes, A. Wilkinson, M.D. Good, B. Wagner, J. Morris, J. Marshall, D. Collins, A. Kikuchi, S. Metz, T. McLaren, C. van Hintum, T. |
author_facet |
Bruskiewich, R. Senger, M. Davenport, G. Ruíz, M. Rouard, M. Hazekamp, T. Takeya, M. Koji Doi Kouji Satoh Costa, M. Simon, R. Jayashree, B. Akinnola Nathaniel Akintunde Mauleon, R. Wanchana, S. Shah, T. Anacleto, M. Portugal, A. Ulat, V.J. Thongjuea, Supat Braak, K. Ritter, S. Dereeper, A. Skofic, M. Rojas, E. Martins, N. Pappas, G. Alamban, R. Almodiel, R. Barboza, L.H. Detras, J. Manansala, K. Mendoza, M.J. Morales, J. Peralta, B. Valerio, R. Yi Zhang Gregorio, S. Hermocilla, J. Echavez, M. Yap, J.M. Farmer, A. Schiltz, G. Lee, J. Casstevens, T. Jaiswal, P. Meintjes, A. Wilkinson, M.D. Good, B. Wagner, J. Morris, J. Marshall, D. Collins, A. Kikuchi, S. Metz, T. McLaren, C. van Hintum, T. |
author_sort |
Bruskiewich, R. |
title |
The generation challenge programme platform: Semantic standards and workbench for crop science |
title_short |
The generation challenge programme platform: Semantic standards and workbench for crop science |
title_full |
The generation challenge programme platform: Semantic standards and workbench for crop science |
title_fullStr |
The generation challenge programme platform: Semantic standards and workbench for crop science |
title_full_unstemmed |
The generation challenge programme platform: Semantic standards and workbench for crop science |
title_sort |
generation challenge programme platform: semantic standards and workbench for crop science |
publisher |
Hindawi Publishing Corporation : |
publishDate |
2008 |
url |
https://hdl.handle.net/10883/22009 |
work_keys_str_mv |
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