Difference between revisions of "Concluding Remarks"
From GcatWiki
| Line 1: | Line 1: | ||
<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> | ||
<br><br><br> | <br><br><br> | ||
| − | + | <font size=+1> | |
Stochasticity is inherent in every facet of synthetic biology. If ignored completely stochasticity can obscure results, lead to false negative phenotypes, or ruin a constructs reliability. While a re-engineering of the transcriptional and translational machinery of prokaryotic and eukaryotic cells is not feasible, our knowledge of stochasticity is extensive enough to provide basic construction parameters for synthetic constructs. Applications of stochasticity range from explanation of population heterogenity in a single colony to an understanding of the differentiation of stem cells. While much is still unknown, we have the tools to discover the ability to create synthetic biological networks using an engineering perspective. | Stochasticity is inherent in every facet of synthetic biology. If ignored completely stochasticity can obscure results, lead to false negative phenotypes, or ruin a constructs reliability. While a re-engineering of the transcriptional and translational machinery of prokaryotic and eukaryotic cells is not feasible, our knowledge of stochasticity is extensive enough to provide basic construction parameters for synthetic constructs. Applications of stochasticity range from explanation of population heterogenity in a single colony to an understanding of the differentiation of stem cells. While much is still unknown, we have the tools to discover the ability to create synthetic biological networks using an engineering perspective. | ||
<br><br><br> | <br><br><br> | ||
<center><b> [[Evolved Stochasticity? | Previous Section]] | [[Citations | Next Section]] </b></center> | <center><b> [[Evolved Stochasticity? | Previous Section]] | [[Citations | Next Section]] </b></center> | ||
Revision as of 04:48, 13 November 2007
Stochasticity is inherent in every facet of synthetic biology. If ignored completely stochasticity can obscure results, lead to false negative phenotypes, or ruin a constructs reliability. While a re-engineering of the transcriptional and translational machinery of prokaryotic and eukaryotic cells is not feasible, our knowledge of stochasticity is extensive enough to provide basic construction parameters for synthetic constructs. Applications of stochasticity range from explanation of population heterogenity in a single colony to an understanding of the differentiation of stem cells. While much is still unknown, we have the tools to discover the ability to create synthetic biological networks using an engineering perspective.
