The Generation Challenge Programme Platform : Semantic Standards and Workbench for Crop Science

Joint Authors

Mauleon, Ramil
Valerio, Rowena
Hermocilla, Joseph
Morales, Jeffrey
Doi, Koji
Ulat, Victor Jun
Shah, Trushar
Marshall, David
Mendoza, Michael Jonathan
Almodiel, Roque
Wanchana, Samart
Braak, Kyle
Collins, Anthony
Dereeper, Alexis
Manansala, Kevin
Wilkinson, Mark
Kikuchi, Shoshi
Echavez, Michael
Detras, Jeffrey
Ritter, Sebastian
Meintjes, Ayton
Rojas, Edwin
Lee, Jennifer M.
Satoh, Kouji
Barboza, Lord Hendrix
Alamban, Ryan
Farmer, Andrew
Thongjuea, Supat
Peralta, Barry
Balaji, Jayashree
Senger, Martin
Takeya, Masaru
Casstevens, Terry
Metz, Thomas
Hazekamp, Tom
Davenport, Guy
Skofic, Milko
Costa, Marcos
Good, Benjamin
Rouard, Mathieu
Ruiz, Manuel
Martins, Natalia
Bruskiewich, Richard
Schiltz, Gary
Simon, Reinhard
Anacleto, Mylah
Akintunde, Akinnola
Pappas, Georgios
Morris, Jane
Zhang, Yi
McLaren, Graham
van Hintum, Theo
Gregorio, Sergio
Jaiswal, Pankaj
Yap, Jan Michael
Wagner, James
Portugal, Arllet

Source

International Journal of Plant Genomics

Issue

Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2008-04-30

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Botany

Abstract EN

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.

American Psychological Association (APA)

Bruskiewich, Richard& Senger, Martin& Davenport, Guy& Ruiz, Manuel& Rouard, Mathieu& Hazekamp, Tom…[et al.]. 2008. The Generation Challenge Programme Platform : Semantic Standards and Workbench for Crop Science. International Journal of Plant Genomics،Vol. 2008, no. 2008, pp.1-6.
https://search.emarefa.net/detail/BIM-466582

Modern Language Association (MLA)

Bruskiewich, Richard…[et al.]. The Generation Challenge Programme Platform : Semantic Standards and Workbench for Crop Science. International Journal of Plant Genomics No. 2008 (2008), pp.1-6.
https://search.emarefa.net/detail/BIM-466582

American Medical Association (AMA)

Bruskiewich, Richard& Senger, Martin& Davenport, Guy& Ruiz, Manuel& Rouard, Mathieu& Hazekamp, Tom…[et al.]. The Generation Challenge Programme Platform : Semantic Standards and Workbench for Crop Science. International Journal of Plant Genomics. 2008. Vol. 2008, no. 2008, pp.1-6.
https://search.emarefa.net/detail/BIM-466582

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-466582