A Case for Using Signal Transition Graphs for Analysing and Refining Genetic Networks
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- Richard Banks
- Dr Victor Khomenko
- Dr Jason Steggles
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| Author(s) | | Banks R, Khomenko V, Steggles LJ |
| Editor(s) | | |
| Publication type | | Conference Proceedings (inc. Abstract) |
| Conference Name | | Electronic Notes in Theoretical Computer Science: Second International Meeting on Membrane Computing and Biologically Inspired Process Calculi (MeCBIC) |
| Conference Location | | Iasi, Romania |
| Year of Conference | | 2009 |
| Date | | 3-4 September 2008 |
| Volume | | 227 |
| Pages | | 3-19 |
| ISBN | | 15710661 |
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| In order to understand and analyse genetic regulatory networks (GRNs), the complex control structures which regulate cellular systems, well supported qualitative formal modelling techniques are required. In this paper, we make a case that biological systems can be qualitatively modelled by speed-independent circuits. We apply techniques from asynchronous circuit design, based on Signal Transition Graphs (STGs), to modelling, visualising and analysing GRNs. STGs are a Petri net based model that has been extensively used in asynchronous circuit design. We investigate how the sufficient conditions ensuring that an STG can be implemented by a speed-independent circuit can be interpreted in the context of GRNs. We observe that these properties provide important insights into a model and highlight areas which need to be refined. Thus, STGs provide a well supported formal framework for GRNs that allows realistic models to be incrementally developed and analysed. We demonstrate the proposed STG approach with a case study of constructing and analysing a speed-independent circuit specification for the lysis-lysogeny switch in phage λ. |
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| Publisher | | Elsevier B.V. |
| URL | | http://dx.doi.org/10.1016/j.entcs.2008.12.101 |
| DOI | | 10.1016/j.entcs.2008.12.101 |
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