Generation challenge programme (GCP) domain modeling and crop information platform

The Generation Challenge Programme (GCP; http://www.generationcp.org) is a global research consortium involving 18 international agricultural institutes (see separate PAG poster about the GCP). The scientific research goals of the GCP focus on comparative biology across crop species, high-throughput molecular characterization of genetic resources diversity for allele mining, and deployment of efficient gene transfer technologies into plant breeding programmes. One core informatics activity of the GCP is the development of an integrated crop information platform for the support of the genomics-driven plant breeding within the consortium. This platform will integrate the information resources of the consortium members, and provide the link to the global bioinformatics and biodiversity community. Research and development activities toward this goal include the adoption and extension of a common set of scientific domain models and ontology, to cross-link all data types and analysis processes within an internet integrated crop information platform. The modeling of the domain spans entities for germplasm (including passport information and genealogy), genotyping, phenotyping, geographical information systems (GIS) and genomics data. Where possible existing models will be adopted or further developed. The resulting models are being embedded into a layered software architecture built primarily on Java language technologies, software that strives to develop integrated use cases involving the cross-linkage of genetic mapping, germplasm, genomics and GIS information into cohesive scenarios. The platform itself provides for the integration of both GCP developed tools and compatible open-source bioinformatics software tools. The project is entirely open sourced and licensed, with the software posted to a GForge-based project management site called CropForge (http://cropforge.irri.org) and technical documentation hosted in a Wiki-based site called CropWiki (http://cropwiki.irri.org/gcp). This presentation will discuss the structure and status of GCP scientific domain modeling and its implementation in the GCP crop information platform. (Texte intégral)

Bibliographic Details

Main Authors:	Bruskiewich, Richard, Davenport, Michael, Simon, Reinhard, Ruiz, Manuel, Farmer, Andrew, Metz, Matthew, Hazekamp, Tom, Takeya, Masaru, Lee, Jennifer, McLaren, Graham, Van Hintum, Theo
Format:	conference_item biblioteca
Language:	eng
Published:	s.n.
Subjects:	F30 - Génétique et amélioration des plantes,
Online Access:	http://agritrop.cirad.fr/544053/
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