Complexity and High-End Computing in Biology and Medicine
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.
KeywordsHigh-performance computing Computational biology and medicine Complexity
The author warmly acknowledges financial support from the Irish Research Council for Science, Engineering and Technology (Embark Initiative, immune modelling), Science Foundation Ireland (Research Frontiers Programme 07/RFP/CMSR724, epigenetic modelling), and Dublin City University (Career Start Award, socio-epidemic modelling). The author also wishes to thank both the SFI/HEA Irish Centre for High-End Computing, and the Centre for Scientific Computing & Complex Systems Modelling, for the provision of computational facilities and support.
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