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Gene regulation in a noisy environment

The cellular environment is abuzz with noise. A key source of this noise is the randomness that characterizes the motion of cellular constituents at the molecular level. Cellular noise not only results in random fluctuations (over time) within individual cells, but it is also a source of phenotypic variability among clonal cellular populations. In some instances fluctuations are suppressed downstream through an intricate dynamical networks that act as noise filters. Yet in other important instances, noise induced fluctuations are exploited to the cell’s advantage. The richness of stochastic phenomena in biology depends directly upon the interactions of dynamics and noise and upon the mechanisms through which these interactions occur. In this talk, we explore the origins and impact of cellular noise, drawing examples from endogenous and synthetic biological networks. We motivate the need for stochastic models and outline some of the key tools for the modeling and analysis of stochastic noise. We then present a new framework for noise analysis based on finite projections, which allows accurate computation of key statistical quantities using methods from linear system theory.

Type of Seminar:
Public Seminar
Prof. Mustafa Khammash
Director Center for Control, Dynamical-systems, and Computation (CCDC), University of California at Santa Barbara
Jun 24, 2008   9.15 a.m.

ETZ E8, Gloriastrasse 35, Zurich
Contact Person:

Manfred Morari and Jörg Stelling
No downloadable files available.
Biographical Sketch:
Mustafa Khammash is the Director of the Center for Control, Dynamical systems, and Computations (CCDC) and a Professor of Mechanical Engineering at the University of California at Santa Barbara (UCSB). He received his B.S. degree from Texas A&M University in 1986 and his Ph.D. from Rice University in 1990, both in electrical engineering. Before joining UCSB in 2002 he was with the Electrical Engineering Department at Iowa State University. Khammash’s research interests are in the area of control theory and its applications. He is a Fellow of the IEEE. He is the recipient of the National Science Foundation Young Investigator Award, the Japan Society for the Promotion of Science (JSPS) Fellowship, the Iowa State University Foundation Early Achievement in Research and Scholarship Award, the ISU College of Engineering Young Faculty Research Award, and the Ralph Budd Best Engineering PhD Thesis Award.