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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 p...

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Autores principales: 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, Gregorio, Sergio, 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
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375972/
https://www.ncbi.nlm.nih.gov/pubmed/18483570
http://dx.doi.org/10.1155/2008/369601
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author 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
Gregorio, Sergio
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
author_facet 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
Gregorio, Sergio
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
author_sort Bruskiewich, Richard
collection PubMed
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.
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spelling pubmed-23759722008-05-15 The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science 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 Gregorio, Sergio 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 Int J Plant Genomics Research Article 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. Hindawi Publishing Corporation 2008 2008-04-30 /pmc/articles/PMC2375972/ /pubmed/18483570 http://dx.doi.org/10.1155/2008/369601 Text en Copyright © 2008 Richard Bruskiewich et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
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
Gregorio, Sergio
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 Platform: Semantic Standards and Workbench for Crop Science
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375972/
https://www.ncbi.nlm.nih.gov/pubmed/18483570
http://dx.doi.org/10.1155/2008/369601
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