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Abstract / Description of output
Formal modeling approaches such as process algebras and Petri nets seek to provide insight into biological processes by using both symbolic and numerical methods to reveal the dynamics of the process under study. These formal approaches differ from classical methods of investigating the dynamics of the process through numerical integration of ODEs because they additionally provide alternative representations which are amenable to discrete-state analysis and logical reasoning. Backed by these additional analysis methods, formal modeling approaches have been able to identify errors in published and widely-cited biological models. This paper provides an introduction to these analysis methods, and explains the benefits which they can bring to ensuring the consistency of biological models.
Original language | English |
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Title of host publication | Advances in Systems Biology |
Editors | Igor I. Goryanin, Andrew B. Goryachev |
Publisher | Springer |
Pages | 461-475 |
Number of pages | 15 |
Volume | 736 |
ISBN (Electronic) | 978-1-4419-7210-1 |
ISBN (Print) | 978-1-4419-7209-5 |
DOIs | |
Publication status | Published - 2012 |
Publication series
Name | Advances in Experimental Medicine and Biology |
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Publisher | Springer New York |
ISSN (Print) | 0065-2598 |
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Dive into the research topics of 'Formal methods for checking the consistency of biological models'. Together they form a unique fingerprint.Projects
- 2 Finished
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SIGNAL: SIGNAL -Stochastic process algebra for biochemical signaling pathway analysis
1/09/07 → 31/01/11
Project: Research
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SynthSys; formerly CSBE: Centre for Systems Biology at Edinburgh
Millar, A., Beggs, J., Ghazal, P., Goryanin, I., Hillston, J., Plotkin, G., Tollervey, D., Walton, A. & Robertson, K.
8/01/07 → 31/12/12
Project: Research