title: Complexity and high-end computing in biology and medicine.
abstract: Biomedical systems involve a large number of entities and intricate interactions between these. Their direct analysis is, therefore, difficult, and it is often necessary to rely on computational models. These models require significant resources and parallel computing solutions. These approaches are particularly suited, given parallel aspects in the nature of biomedical systems. Model hybridisation also permits the integration and simultaneous study of multiple aspects and scales of these systems, thus providing an efficient platform for multidisciplinary research.
authors: Centre for Scientific Computing & Complex Systems Modelling, Dublin City University, Glasnevin, Dublin 9, Ireland. dperrin@computing.dcu.ie
authors: Dimitri
authors: D
authors: Perrin
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods* / Q000706:statistics & numerical data; D003198:Computer Simulation; D057225:Data Mining; D006801:Humans; D008954:Models, Biological; D018448:Models, Immunological; D015233:Models, Statistical; D012984:Software; D049490:Systems Biology; D018511:Systems Integration