Title: Metamodelling architectures for complex data integration in systems biology

Authors: Marie-Noelle Terrasse, Magali Roux

Addresses: LE2I University of Burgundy-CNRS UMR 5158, UFR Sciences et Techniques, Bat. Sciences de l'Ingenieur, Faculte Mirande, 21000 Dijon, France. ' Laboratory of Computer Sciences, University Pierre and Marie Curie-CNRS UMR 7606, 104 avenue du President Kennedy 75016 Paris, France

Abstract: Systems biology aims at deciphering the functioning of biological systems on the basis of the knowledge of their molecular components and the relations between such components. To address the issues involved, high-throughput technologies are used. Taking advantage of the standards that are being currently developed to achieve consensual representations of technological domains, we present a metamodelling architecture based on these standards. The proposed architecture organises standard-specific metamodels and models into a single hierarchy. Each metamodel describes a consensus that is shared by several models of applications. A metamodel construct for description of faceted element is proposed together with this architecture.

Keywords: metamodelling architecture; data integration; complex data; systems biology; biological standards; FuGE; functional genomics experiment; MAGE-OM; PSI MI; proteomics standards initiative molecular interaction; MDE; model-driven engineering; metamodels.

DOI: 10.1504/IJBET.2010.029650

International Journal of Biomedical Engineering and Technology, 2010 Vol.3 No.1/2, pp.22 - 42

Published online: 30 Nov 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article