High-throughput cardiac science on the Grid

Abramson, David, Bernabeu, Miguel O., Bethwaite, Blair, Burrage, Kevin, Corrias, Alberto, Enticott, Colin, Garic, Slavisa, Gavaghan, David, Peachey, Tom, Pitt-Francis, J., Pueyo, E., Rodriguez, Blanca, Sher, Anna and Tan, Jefferson (2010) High-throughput cardiac science on the Grid. Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences, 368 1925: 3907-3923. doi:10.1098/rsta.2010.0170

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Author Abramson, David
Bernabeu, Miguel O.
Bethwaite, Blair
Burrage, Kevin
Corrias, Alberto
Enticott, Colin
Garic, Slavisa
Gavaghan, David
Peachey, Tom
Pitt-Francis, J.
Pueyo, E.
Rodriguez, Blanca
Sher, Anna
Tan, Jefferson
Title High-throughput cardiac science on the Grid
Journal name Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences   Check publisher's open access policy
ISSN 1364-503X
1471-2946
Publication date 2010-08-01
Year available 2010
Sub-type Article (original research)
DOI 10.1098/rsta.2010.0170
Open Access Status Not Open Access
Volume 368
Issue 1925
Start page 3907
End page 3923
Total pages 17
Place of publication London, United Kingdom
Publisher The Royal Society Publishing
Language eng
Formatted abstract
Cardiac electrophysiology is a mature discipline, with the first model of a cardiac cell action potential having been developed in 1962. Current models range from single ion channels, through very complex models of individual cardiac cells, to geometrically and anatomically detailed models of the electrical activity in whole ventricles. A critical issue for model developers is how to choose parameters that allow the model to faithfully reproduce observed physiological effects without over-fitting. In this paper, we discuss the use of a parametric modelling toolkit, called NIMROD, that makes it possible both to explore model behaviour as parameters are changed and also to tune parameters by optimizing model output. Importantly, NIMROD leverages computers on the Grid, accelerating experiments by using available high-performance platforms. We illustrate the use of NIMROD with two case studies, one at the cardiac tissue level and one at the cellular level.
Keyword Cardiac science
Grid computing
eScience
Bio engineering
Hodgkin Huxley Equations
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
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