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The debate over the role of stochasticity is central in evolutionary biology, often summarised by whether or not evolution is predictable or repeatable.
In order to further explore the role of stochasticity in cellular reprogramming we investigated how reprogramming efficiency varies with both the form and amplitude of transcriptional noise.
The two most important features that have engaged the attention of theoreticians and experimentalists in this area are-a) the role of stochasticity in regulating the precision in the output of such pathways, and b) the effect of regulatory designs in conferring different dynamical behaviour of the pathway constituents.
The idea grew from a possible insight into the role of stochasticity in evolution.
We will show how this brings valuable insights when interpreting the role of stochasticity in cell polarisation by wave-pinning.
There is ongoing controversy among HIV researchers about the role of stochasticity due to low effective population sizes in the evolution of the virus [ 33- 35].
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Of special interest is the role of intrinsic stochasticity introduced by time differencing, which can destroy orbits of an otherwise exactly integrable system and therefore constitutes a restriction on the applicability of an integration scheme in such a context [A. Friedman, S.P. Auerbach, J. Comput. Phys. 93 (1991) 171].
On the theoretical side, understanding the complex dynamics of the interaction between a defective virus and its helper virus would be much helped by additional modeling approaches that incorporate the role of demographic stochasticity and network models.
Our goal was to determine the consistency of various temporal and point estimators on inferring N e and to determine the utility of this information for understanding the role of genetic stochasticity.
To address the role of stochastic effects in the antagonistic co-adaptation process, we developed a stochastic, numerical analogue of our deterministic model that explicitly incorporated mutation, migration and environmental stochasticity.
While exploiting this in our framework, the structured stochasticity provides additional information about the system dynamics and the emergent impedance control may be a further indication of the possible constructive role of noise in the neuromotor system [30].
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