||July 27, 2006
||Prof. Y. Pinter, Israel Institute of Technology
||Static and dynamic methods for the analysis of biological networks
|| Elucidating the behavior of biological networks requires the
development and the application of computational tools and techniques.
Naturally, different methods are suitable for different kinds of analyses,
e.g. extracting qualitative vs. observing quantitative properties, employing
discrete vs. continuous modeling, and utilizing static vs. dynamic analysis.
Specifically, methods that are static in nature extract structural and
semantic properties from the description of a network or a pathway, whereas
dynamic methods aim at understanding and predicting the functional
characteristics of a network's or a pathway's behavior. In this talk I will
present tools and techniques that we have devised recently to (1) align and
compare metabolic pathways, and (2) analyze the transient behavior of
regulatory networks, along with the biological consequences that they have
yielded. I will conclude with some thoughts concerning the potential
integration of the methods into a unified framework so as to fit the end-users'