Origins and Characterization of Stochasticity
Modeling Stochasticity
Manipulation of Stochasticity
Evolved Stochasticity?
Concluding Remarks
Citations
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The goal of synthetic biolgoy is to create synthetic biological constructs from an engineering perspective. Synthetic biology has implications in many fields such as healthcare, fuel production, and data processing. An exciting aspect about the field is it utilizes aspects of many fields such as biology, chemistry, mathematics and computer science. Problems arise however when synthetic biologists regard synthetic devices like electronic circuitry. The stochastic nature of biological processes lead to heterognic responses for a single input. Whe these stochastic processes pose a problem for synthetic biology they do not prohibit the successful construction of synthetic biological devices. This is becuase characterization of stochasticity can lead to dry lab suggestions for design strategies for implementation in vivo. Here is a characterization of the origin of stochasticity, the devices used to model stochasticity, the effect of stochasticity in gene networks, and a section on why stochastic processes might exist in the cell.
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