6533b831fe1ef96bd1298e1a

RESEARCH PRODUCT

Metamodelling architectures for complex data integration in systems biology

Magali RouxMarie-noëlle Terrasse

subject

Complex data type0303 health sciencesHierarchyComputer scienceSystems biologyBiomedical Engineering02 engineering and technologyConstruct (python library)computer.software_genreMetamodeling03 medical and health sciences020204 information systems0202 electrical engineering electronic engineering information engineeringSystems engineeringModel-driven architectureArchitecturecomputer030304 developmental biologycomputer.programming_languageData integration

description

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.

https://doi.org/10.1504/ijbet.2010.029650