Difference between revisions of "Paper Discussion 9/25"
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− | < | + | = Stochasticity in Gene Expression= |
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+ | 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 all together. This is because characterization of stochastic processes can lead to dry lab 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. | ||
+ | <center>[[term paper wiki|WIKI]]</center> | ||
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+ | =Discussion 9/25: Promoter Control= | ||
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− | [[ | + | [[Tuning genetic control through promoter engineering]] |
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− | + | Hal Alper <br> | |
− | <br> | + | Curt Fischer <br> |
− | + | Elke Nevoight <br> | |
− | <br> | + | Gregory Stephanopoulos |
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− | [[ | + | [[Combinatorial promoter design for engineering noisy gene expression]] |
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− | + | Kevin F. Murphy <br> | |
− | <br> | + | Gabor Balazsi <br> |
− | + | James J. Collins | |
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Latest revision as of 16:38, 27 March 2008
Stochasticity in Gene Expression
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 all together. This is because characterization of stochastic processes can lead to dry lab 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.
Discussion 9/25: Promoter Control
Paper | Authors |
---|---|
Hal Alper
| |
Combinatorial promoter design for engineering noisy gene expression |
Kevin F. Murphy
|