Difference between revisions of "Manipulation of Stochasticity"

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<center>[[Term Paper Wiki| <span style="color:red">Home</span>]] | [[Origins and Characterization of Stochasticity| <span style="color:red">Origins and Characterization of Stochasticity</span>]] | [[Modeling Stochasticity| <span style="color:red">Modeling Stochasticity</span>]] | [[Manipulation of Stochasticity| <span style="color:red">Manipulation of Stochasticity</span>]] | [[Evolved Stochasticity? | <span style="color:red">Evolved Stochasticity?</span>]] |  [[Concluding Remarks| <span style="color:red">Concluding Remarks </span> ]] | [[Citations|<span style="color:red">Citations</span>]]</center>
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Latest revision as of 15:26, 6 December 2007

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




In Depth How Stochasticity Influences Synthetic Constructs

Noise in Synthetic Cascades


Noise in Feedback Loops


The construction of gene networks proves to be a noisy process; this makes obtaining a deterministic result difficult. Many labs have tried to characterize sources of expression noise that occur when linking genes together in a network. More specifically, what effect does a noisy vs. tightly controlled input have on output noise? Discovering the effects of noise propagation in genetic cascades has major implications in the field of synthetic biology. From an engineering standpoint, the degree of control over a synthetic system can mean the difference between a synthetic construct's success or failure to achieve its purpose (e.g. metabolic cascade, product formation pathway, cell differentiation pathway).




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