Network analysis of biological systems

Catalog description

The survival of a cell, organism or population in a variable environment depends on mounting specific responses to external stimuli. Each of these responses is governed by the coordinated action of multiple (potentially numerous) individual functional components. Understanding the collective behavior of such a complex interacting system is enabled by representing the system as a network, where we denote the components of the system with nodes and their interactions by edges. The properties of these interaction networks can then be analyzed by computational methods. This analysis can lead to important conclusions and predictions about the possible collective, dynamical behaviors of the system. The course will cover examples of network analysis and modeling in biology and medicine, focusing on systems at the molecular and cellular level. After taking this course students will be able to integrate information to construct a network model corresponding to a biological system, to use graph theoretical measures to describe this network, and to use mathematical or computational methods to model the dynamic processes that take place in this system. These skills are important for careers in life science and medical research, in bioengineering and biotechnology.