Complexity and high-end computing in biology and medicine


Autoria(s): Perrin, Dimitri
Data(s)

2011

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/82671/

Publicador

Springer

Relação

http://eprints.qut.edu.au/82671/1/82671.pdf

http://www.springer.com/gp/book/9781441970459

DOI:10.1007/978-1-4419-7046-6

Perrin, Dimitri (2011) Complexity and high-end computing in biology and medicine. In Software Tools and Algorithms for Biological Systems. Springer, New York, pp. 377-384.

Direitos

Copyright 2011 Springer

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Tipo

Book Chapter