TY - JOUR
AU - Richard Bruskiewich
AU - Martin Senger
AU - Guy Davenport
AU - Manuel Ruiz
AU - Mathieu Rouard
AU - Tom Hazekamp
AU - Masaru Takeya
AU - Koji Doi
AU - Kouji Satoh
AU - Marcos Costa
AU - Reinhard Simon
AU - Jayashree Balaji
AU - Akinnola Akintunde
AU - Ramil Mauleon
AU - Samart Wanchana
AU - Trushar Shah
AU - Mylah Anacleto
AU - Arllet Portugal
AU - Victor Ulat
AU - Supat Thongjuea
AU - Kyle Braak
AU - Sebastian Ritter
AU - Alexis Dereeper
AU - Milko Skofic
AU - Edwin Rojas
AU - Natalia Martins
AU - Georgios Pappas
AU - Ryan Alamban
AU - Roque Almodiel
AU - Lord Barboza
AU - Jeffrey Detras
AU - Kevin Manansala
AU - Michael Mendoza
AU - Jeffrey Morales
AU - Barry Peralta
AU - Rowena Valerio
AU - Yi Zhang
AU - Sergio Gregorio
AU - Joseph Hermocilla
AU - Michael Echavez
AU - Jan Yap
AU - Andrew Farmer
AU - Gary Schiltz
AU - Jennifer Lee
AU - Terry Casstevens
AU - Pankaj Jaiswal
AU - Ayton Meintjes
AU - Mark Wilkinson
AU - Benjamin Good
AU - James Wagner
AU - Jane Morris
AU - David Marshall
AU - Anthony Collins
AU - Shoshi Kikuchi
AU - Thomas Metz
AU - Graham McLaren
AU - Theo van Hintum
AB - 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.
BT - International journal of plant genomics
C1 - http://www.ncbi.nlm.nih.gov/pubmed/18483570?dopt=Abstract
DA - 2008
J2 - Int J Plant Genomics
LA - eng
N2 - 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.
PY - 2008
EP - 369601
T2 - International journal of plant genomics
TI - The generation challenge programme platform: semantic standards and workbench for crop science.
VL - 2008
SN - 1687-5370
ER -