Identifying dynamical modules from genetic regulatory systems: applications to the segment polarity network |
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Authors: | David J Irons Nicholas AM Monk |
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Affiliation: | (1) Department of Computer Science, University of Sheffield, Sheffield, UK;(2) School of Mathematical Sciences, University of Nottingham, Nottingham, UK |
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Abstract: | ![]()
Background It is widely accepted that genetic regulatory systems are 'modular', in that the whole system is made up of smaller 'subsystems' corresponding to specific biological functions. Most attempts to identify modules in genetic regulatory systems have relied on the topology of the underlying network. However, it is the temporal activity (dynamics) of genes and proteins that corresponds to biological functions, and hence it is dynamics that we focus on here for identifying subsystems. |
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