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Mathematical Biology seminar
Chris Myers
Electrical and Computer Engineering, University of Utah
"An Asynchronous Circuit Model of the Lambda Virus"
December 3
3:05pm in LCB 225
With the sequencing of the human genome and the genomes of other
organisms, we now have a list of the parts that make up these
biological systems. Through the use of microarrays and other new
technologies, we are also beginning to get data on the functions of
individual genes and how genes interact with each other to perform
complex biological functions. In the functional genomic era, we will
begin to take this vast amount of data, and try to reason about how
these genetic systems work. To accomplish this, a systems biology
perspective will need to be taken in which models and new, efficient
analysis techniques must be developed to reason about these genetic
networks. Engineers have vast experience in modeling and analyzing
electronic circuits and systems. There are many similarities between
genetic networks and electronic circuits. This talk will describe a
model of the Phage Lambda virus using a stochastic asynchronous
circuit. A stochastic model appears to be essential since in this
system, like many others, the survival strategy taken by this virus
has a random component which may be key in the evolutionary survival
of the organism. Arkin et. al's discrete model based on the chemical
master equation and Monte Carlo simulation required substantial
runtime on a supercomputer while our new stochastic asynchronous
circuit model produces results in less than a minute on a PC. Our
results nearly match the master equation simulation and also have
reasonable quantitative correspondence to Kourilsky's experimental
results.
For more information contact J. Keener, 1-6089
E-mail:
keener@math.utah.edu
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