Record Details

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

ScholarsArchive at Oregon State University

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Title The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science
Names Bruskiewich, Richard (creator)
Senger, Martin (creator)
Davenport, Guy (creator)
Jaiswal, Pankaj (creator)
et al. (creator)
Date Issued 2008 (iso8601)
Note This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Hindawi Publishing Corporation. The published article can be found at: http://www.hindawi.com/journals/ijpg/.
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.
Genre Article
Access Condition http://creativecommons.org/licenses/by/3.0/us/
Identifier Bruskiewich, R., Senger, M., Davenport, G., Ruiz, M., Rouard, M., Hazekamp, T., ... & van Hintum, T. (2008). The generation challenge programme platform: semantic standards and workbench for crop science. International Journal of Plant Genomics, 2008. doi:10.1155/2008/369601

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