@article{5,
  author = {Richard Bruskiewich and Martin Senger and Guy Davenport and Manuel Ruiz and Mathieu Rouard and Tom Hazekamp and Masaru Takeya and Koji Doi and Kouji Satoh and Marcos Costa and Reinhard Simon and Jayashree Balaji and Akinnola Akintunde and Ramil Mauleon and Samart Wanchana and Trushar Shah and Mylah Anacleto and Arllet Portugal and Victor Ulat and Supat Thongjuea and Kyle Braak and Sebastian Ritter and Alexis Dereeper and Milko Skofic and Edwin Rojas and Natalia Martins and Georgios Pappas and Ryan Alamban and Roque Almodiel and Lord Barboza and Jeffrey Detras and Kevin Manansala and Michael Mendoza and Jeffrey Morales and Barry Peralta and Rowena Valerio and Yi Zhang and Sergio Gregorio and Joseph Hermocilla and Michael Echavez and Jan Yap and Andrew Farmer and Gary Schiltz and Jennifer Lee and Terry Casstevens and Pankaj Jaiswal and Ayton Meintjes and Mark Wilkinson and Benjamin Good and James Wagner and Jane Morris and David Marshall and Anthony Collins and Shoshi Kikuchi and Thomas Metz and Graham McLaren and Theo van Hintum},
  title = {The generation challenge programme platform: semantic standards and workbench for crop science.},
  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.},
  year = {2008},
  journal = {International journal of plant genomics},
  volume = {2008},
  pages = {369601},
  month = {2008},
  issn = {1687-5370},
  language = {eng},
}