Manipulation of Stochasticity - Revision history

Miwaters at 17:26, 6 December 2007

2007-12-06T17:26:52Z

Miwaters at 17:16, 6 December 2007

2007-12-06T17:16:20Z

Miwaters at 17:15, 6 December 2007

2007-12-06T17:15:10Z

Miwaters at 01:48, 6 December 2007

2007-12-06T01:48:46Z

Miwaters at 01:22, 6 December 2007

2007-12-06T01:22:53Z

Miwaters at 01:18, 6 December 2007

2007-12-06T01:18:45Z

Miwaters at 17:35, 13 November 2007

2007-11-13T17:35:38Z

Miwaters at 02:54, 13 November 2007

2007-11-13T02:54:58Z

Miwaters at 02:45, 13 November 2007

2007-11-13T02:45:59Z

Miwaters at 02:39, 13 November 2007

2007-11-13T02:39:13Z

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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>
+<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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 [[Noise in Feedback Loops|<span style="color:red"> Noise in Feedback Loops</span>]]
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-| 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 sucess or failure to achieve its purpose (e.g. metabolic cascade, product formation pathway, cell differentiation pathway).
+| 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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 <center><b> [[Modeling Stochasticity | Previous Section]] | [[Evolved Stochasticity? | Next Section]] </b></center>

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 [[Noise in Feedback Loops|<span style="color:red"> Noise in Feedback Loops</span>]]
 <br><br><br>
-| The construction of gene networks proves to be a noisy process that is difficult to produce a deterministic result. 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. 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 sucess or failure to achieve its purpose (e.g. metabolic cascade, product formation pathway, cell differentiation pathway).
+| 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 sucess or failure to achieve its purpose (e.g. metabolic cascade, product formation pathway, cell differentiation pathway).
 |}

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 [[Noise in Feedback Loops|<span style="color:red"> Noise in Feedback Loops</span>]]
 <br><br><br>
-| The construction of gene networks proves to be a noisy process that is difficult to produce a deterministic result. 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. 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 sucess or failure to achieve its purpose (e.g. metabolic cascade, product formation pathway).
+| The construction of gene networks proves to be a noisy process that is difficult to produce a deterministic result. 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. 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 sucess or failure to achieve its purpose (e.g. metabolic cascade, product formation pathway, cell differentiation pathway).
 |}

@@ Line 11: / Line 11: @@
 [[Noise in Feedback Loops|<span style="color:red"> Noise in Feedback Loops</span>]]
 <br><br><br>
-| The construction of gene networks proves to be a noisy process that is difficult to produce a deterministic result. 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 or tightly controlled input have on output. Discovering the effects of noise propagation of 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 sucess or failure to achieve its purpose (ex. medical applications).
+| The construction of gene networks proves to be a noisy process that is difficult to produce a deterministic result. 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. 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 sucess or failure to achieve its purpose (e.g. metabolic cascade, product formation pathway).
 |}

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 |<center> The construction of gene networks proves to be a noisy process, and one difficult to produce a deterministic result. 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 or tightly controlled input have on output. Discovering the effects of noise propagation of 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 sucess or failure to achieve its purpose (ex. medical applications).
-Stochasticity has also been theorized to account for disease and development. While significant results are still pending,  haploinsufficiency diseases are theorized to arise from stochasticity in gene expression. This is becuase the single functional allele cannot produce the amount of protein needed to keep the body's respective concentration continually above a low threshold state due to the pulsitile nature of mRNA production.
 </center>
 |}