Literature DB >> 16901229

Generation Challenge Programme (GCP): standards for crop data.

Richard Bruskiewich1, Guy Davenport, Tom Hazekamp, Thomas Metz, Manuel Ruiz, Reinhard Simon, Masaru Takeya, Jennifer Lee, Martin Senger, Graham McLaren, Theo Van Hintum.   

Abstract

The Generation Challenge Programme (GCP) is an international research consortium striving to apply molecular biological advances to crop improvement for developing countries. Central to its activities is the creation of a next generation global crop information platform and network to share genetic resources, genomics, and crop improvement information. This system is being designed based on a comprehensive scientific domain object model and associated shared ontology. This model covers germplasm, genotype, phenotype, functional genomics, and geographical information data types needed in GCP research. This paper provides an overview of this modeling effort.

Mesh:

Year:  2006        PMID: 16901229     DOI: 10.1089/omi.2006.10.215

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  4 in total

Review 1.  Development of FuGO: an ontology for functional genomics investigations.

Authors:  Patricia L Whetzel; Ryan R Brinkman; Helen C Causton; Liju Fan; Dawn Field; Jennifer Fostel; Gilberto Fragoso; Tanya Gray; Mervi Heiskanen; Tina Hernandez-Boussard; Norman Morrison; Helen Parkinson; Philippe Rocca-Serra; Susanna-Assunta Sansone; Daniel Schober; Barry Smith; Robert Stevens; Christian J Stoeckert; Chris Taylor; Joe White; Andrew Wood
Journal:  OMICS       Date:  2006

2.  Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.

Authors:  Rosemary Shrestha; Elizabeth Arnaud; Ramil Mauleon; Martin Senger; Guy F Davenport; David Hancock; Norman Morrison; Richard Bruskiewich; Graham McLaren
Journal:  AoB Plants       Date:  2010-05-27       Impact factor: 3.276

3.  The generation challenge programme platform: semantic standards and workbench for crop science.

Authors:  Richard Bruskiewich; Martin Senger; Guy Davenport; Manuel Ruiz; Mathieu Rouard; Tom Hazekamp; Masaru Takeya; Koji Doi; Kouji Satoh; Marcos Costa; Reinhard Simon; Jayashree Balaji; Akinnola Akintunde; Ramil Mauleon; Samart Wanchana; Trushar Shah; Mylah Anacleto; Arllet Portugal; Victor Jun Ulat; Supat Thongjuea; Kyle Braak; Sebastian Ritter; Alexis Dereeper; Milko Skofic; Edwin Rojas; Natalia Martins; Georgios Pappas; Ryan Alamban; Roque Almodiel; Lord Hendrix Barboza; Jeffrey Detras; Kevin Manansala; Michael Jonathan Mendoza; Jeffrey Morales; Barry Peralta; Rowena Valerio; Yi Zhang; Sergio Gregorio; Joseph Hermocilla; Michael Echavez; Jan Michael Yap; Andrew Farmer; Gary Schiltz; Jennifer Lee; Terry Casstevens; Pankaj Jaiswal; Ayton Meintjes; Mark Wilkinson; Benjamin Good; James Wagner; Jane Morris; David Marshall; Anthony Collins; Shoshi Kikuchi; Thomas Metz; Graham McLaren; Theo van Hintum
Journal:  Int J Plant Genomics       Date:  2008

4.  Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases.

Authors:  Julien Wollbrett; Pierre Larmande; Frédéric de Lamotte; Manuel Ruiz
Journal:  BMC Bioinformatics       Date:  2013-04-15       Impact factor: 3.169

  4 in total

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