TY  - JA
AU  - Bruskiewich,R.
AU  - Senger,M.
AU  - Davenport,G.
AU  -  Ruíz, M.
AU  - Rouard,M.
AU  - Hazekamp,T.
AU  - Takeya,M.
AU  - Koji Doi
AU  - Kouji Satoh
AU  - Costa,M.
AU  - Simon,R.
AU  - Jayashree,B.
AU  - Akinnola Nathaniel Akintunde
AU  - Mauleon,R.
AU  - Wanchana,S.
AU  - Shah,T.
AU  - Anacleto,M.
AU  - Portugal,A.
AU  - Ulat,V.J.
AU  - Thongjuea,Supat
AU  - Braak,K.
AU  - Ritter,S.
AU  - Dereeper,A.
AU  - Skofic,M.
AU  - Rojas,E.
AU  - Martins,N.
AU  - Pappas,G.
AU  - Alamban,R.
AU  - Almodiel,,R.
AU  - Barboza,L.H.
AU  - Detras,J.
AU  - Manansala,K.
AU  - Mendoza,M.J.
AU  - Morales,J.
AU  - Peralta,B.
AU  - Valerio,R.
AU  - Yi Zhang
AU  - Gregorio,S.
AU  - Hermocilla,J.
AU  - Echavez,M.
AU  - Yap,J.M.
AU  - Farmer,A.
AU  - Schiltz,G.
AU  - Lee,J.
AU  - Casstevens,T.
AU  - Jaiswal,P.
AU  - Meintjes,A.
AU  - Wilkinson,M.
AU  - Good,B.
AU  - Wagner,J.
AU  - Morris,J.
AU  - Marshall,D.
AU  - Collins,A.
AU  - Kikuchi, S.
AU  - Metz,T.
AU  - McLaren,C.
AU  - van Hintum,T.
TI  - The generation challenge programme platform : : Semantic standards and workbench for crop science
SN  - 16875370
PY  - 2008///
CY  - USA
PB  - Hindawi Publishing Corporation
KW  - AGROVOC
KW  - Crop improvement
KW  - Genetic resources
KW  - Plant breeding
KW  - Biodiversity
KW  - Computer applications
KW  - Digital technology
KW  - Data processing
N1  - Peer review; Open Access
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
UR  - https://hdl.handle.net/10883/22009
T2  - International Journal of Plant Genomics
DO  - https://doi.org/10.1155/2008/369601
ER  -