Title: "Modeling and Inference of Transcriptional Regulatory Networks"
Speaker: Ilya Shmulevich, Institute for Systems Biology; Seattle, WA
Place: Electrical Engineering (EE) 270; January 23, 2006; Tuesday, 4:30pm

Abstract

Living systems are manifestations of their underlying complex dynamical networks of molecular interactions. A paramount problem is to understand how functional cellular behavior and interaction with the cell's environment is mediated by these complex molecular systems. Recent advances in measurement technologies allow us to interrogate biological systems and collect massive amounts of heterogeneous information under a variety of experimental conditions. Integrating this information and constructing predictive models of system behavior are the central goals of systems biology. I will discuss our efforts focused on the inference of models of transcriptional regulatory networks from high-throughput measurement data, integration of multiple sources of evidence from diverse data sources, the development of powerful computational analysis, simulation, and visualization tools, and the use of such models for gaining insight into the nature of cellular behavior in health and disease. Finally, I will make some brief remarks on our investigations of emerging general organizing principles underlying the exquisite ability of living systems to coordinate complex behavior while maintaining a balance between robustness and adaptability.




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