Armed with increasingly fast supercomputers and greater knowledge of the molecular mechanisms of gene expression, it is now practical to numerically simulate complex networks of regulated biological reactions, or gene circuits. Using an exact stochastic simulation algorithm, we obtain an accurate time-evolution of the behavior of complex gene circuits, including the effects of fluctuations caused by highly dilute, but significant, regulatory proteins. Specifically, we examine an important gene circuit, the bistable switch, and use the stochastic simulation algorithm to develop design principles that will enable us to produce a fast and robust switch for use in future applications. We pay particular attention to different transcriptional con...
University of Minnesota Ph.D. dissertation. July 2009. Major: Chemical engineering. Advisor: Yiannis...
AbstractThe current rapid expansion of biological knowledge offers a great opportunity to rationally...
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes i...
Turning genes on and off is a mechanism by which cells and tissues make phenotypic decisions. Gene n...
AbstractTranscriptional regulation is an inherently noisy process. The origins of this stochastic be...
We present computer-assisted methods for analyzing stochastic models of gene regulatory networks. Th...
We present computer-assisted methods for analyzing stochastic models of gene regulatory networks. Th...
Bistability arises within a wide range of biological systems from the A phage switch in bacteria to ...
Biological systems are inherently stochastic, a fact which is often ignored when simulating genetic ...
We present a stochastic model of genetic regulation where the expression of genes are controlled by ...
AbstractWe present a perfect sampling algorithm that can be applied to the master equation of gene r...
Because the components of genetic networks are present in small quantities, the detailed behavior of...
We studied the impact of stochasticity on gene regulation networks, using the cell-to-cell communica...
Motivation: Regulatory gene networks contain generic modules such as feedback loops that are essenti...
Stochasticity (that is, randomness) is an inherent property of many biological systems. For example,...
University of Minnesota Ph.D. dissertation. July 2009. Major: Chemical engineering. Advisor: Yiannis...
AbstractThe current rapid expansion of biological knowledge offers a great opportunity to rationally...
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes i...
Turning genes on and off is a mechanism by which cells and tissues make phenotypic decisions. Gene n...
AbstractTranscriptional regulation is an inherently noisy process. The origins of this stochastic be...
We present computer-assisted methods for analyzing stochastic models of gene regulatory networks. Th...
We present computer-assisted methods for analyzing stochastic models of gene regulatory networks. Th...
Bistability arises within a wide range of biological systems from the A phage switch in bacteria to ...
Biological systems are inherently stochastic, a fact which is often ignored when simulating genetic ...
We present a stochastic model of genetic regulation where the expression of genes are controlled by ...
AbstractWe present a perfect sampling algorithm that can be applied to the master equation of gene r...
Because the components of genetic networks are present in small quantities, the detailed behavior of...
We studied the impact of stochasticity on gene regulation networks, using the cell-to-cell communica...
Motivation: Regulatory gene networks contain generic modules such as feedback loops that are essenti...
Stochasticity (that is, randomness) is an inherent property of many biological systems. For example,...
University of Minnesota Ph.D. dissertation. July 2009. Major: Chemical engineering. Advisor: Yiannis...
AbstractThe current rapid expansion of biological knowledge offers a great opportunity to rationally...
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes i...