%0 Journal Article
%T The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science
%A Richard Bruskiewich
%A Martin Senger
%A Guy Davenport
%A Manuel Ruiz
%A Mathieu Rouard
%A Tom Hazekamp
%A Masaru Takeya
%A Koji Doi
%A Kouji Satoh
%A Marcos Costa
%A Reinhard Simon
%A Jayashree Balaji
%A Akinnola Akintunde
%A Ramil Mauleon
%A Samart Wanchana
%A Trushar Shah
%A Mylah Anacleto
%A Arllet Portugal
%A Victor Jun Ulat
%A Supat Thongjuea
%A Kyle Braak
%A Sebastian Ritter
%A Alexis Dereeper
%A Milko Skofic
%A Edwin Rojas
%A Natalia Martins
%A Georgios Pappas
%A Ryan Alamban
%A Roque Almodiel
%A Lord Hendrix Barboza
%A Jeffrey Detras
%A Kevin Manansala
%A Michael Jonathan Mendoza
%A Jeffrey Morales
%A Barry Peralta
%A Rowena Valerio
%A Yi Zhang
%A Sergio Gregorio
%A Joseph Hermocilla
%A Michael Echavez
%A Jan Michael Yap
%A Andrew Farmer
%A Gary Schiltz
%A Jennifer Lee
%A Terry Casstevens
%A Pankaj Jaiswal
%A Ayton Meintjes
%A Mark Wilkinson
%A Benjamin Good
%A James Wagner
%A Jane Morris
%A David Marshall
%A Anthony Collins
%A Shoshi Kikuchi
%A Thomas Metz
%A Graham McLaren
%A Theo van Hintum
%J International Journal of Plant Genomics
%D 2008
%I Hindawi Publishing Corporation
%R 10.1155/2008/369601
%X 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.
%U http://www.hindawi.com/journals/ijpg/2008/369601/