Complexity and high-end computing in biology and medicine

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.

[img] Accepted Version (PDF 49kB)
Administrators only | Request a copy from author

View at publisher


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.

Impact and interest:

3 citations in Scopus
Search Google Scholar™
3 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 82671
Item Type: Book Chapter
DOI: 10.1007/978-1-4419-7046-6
ISBN: 9781441970466
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Springer
Deposited On: 14 Apr 2015 23:46
Last Modified: 14 Dec 2015 05:58

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page