Computational Analysis of Biological Networks

Characterizing, describing, and extracting information from a network is by now one of the main goals of science, since the study of network currently draws the attention of several fields of research, as biology, economics, social science, computer science and so on. The main goal is to analyze networks in order to extract their emergent properties and to understand functionality of such complex systems. This work concerns the analysis of biological networks and the two main approaches are treated: the first based on the study of their topological structure, the second based on the dynamic properties of the system described by a network. Original methods are presented to extract information from a network through both static and dynamic approaches opening new perspectives in biological network analysis.

Giovanni Scardoni received a Ph.D. in Computer Science at the University of Verona in 2010. He is a research fellow at the Center for BioMedical Computing in the same University. His activity is focused on network science, particularly in the development and implementation of algorithms for extracting information from biological networks.