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Stochasticity in Gene Expression

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Introduction

Origins and Characterization of Stochasticity Modeling Stochasticity Manipulation of Stochasticity Evolved Stochasticity? Concluding Remarks Citations

The goal of synthetic biology 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 heterogenic responses for a single input. While these stochastic processes pose a problem for synthetic biology they do not prohibit the successful construction of synthetic biological devices. This is because 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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