The generation challenge programme platform : Semantic standards and workbench for crop science
Bruskiewich, R.
The generation challenge programme platform : Semantic standards and workbench for crop science - USA, Hindawi Publishing Corporation : 2008.
Peer review Open Access
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.
Text in English
16875370 16875389
https://doi.org/10.1155/2008/369601
Crop improvement
Genetic resources
Plant breeding
Biodiversity
Computer applications
Digital technology
Data processing
The generation challenge programme platform : Semantic standards and workbench for crop science - USA, Hindawi Publishing Corporation : 2008.
Peer review Open Access
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.
Text in English
16875370 16875389
https://doi.org/10.1155/2008/369601
Crop improvement
Genetic resources
Plant breeding
Biodiversity
Computer applications
Digital technology
Data processing