Gene Regulation, Protein Networks and Disease: A Computational Perspective

Abstract

Understanding complex disease is one of today’s grand challenges. In spite of the rapid advance of biotechnology, disease understanding is still very limited and further computational tools for disease-related data analysis are in dire need. In this talk I will describe some of the approaches that we are developing for these challenges. I will describe methods for utilizing expression profiles of sick and healthy individuals to identify pathways dysregulated in the disease, methods for integrated analysis for expression and protein interactions, and methods for regulatory motif discovery. If time allows, I’ll discuss methods for analysis of genome aberrations in cancer. The utility of the methods will be demonstrated on biological examples.

Joint work with Igor Ulitsky, Ofer Lavi, Yaron Orenstein, Richard M. Karp, Gideon Dror, Akshay Krishnamurthy, Michal Ozery-Flato, Chaim Linhart, Luba Trakhtenbrot, Shai Izraeli, Annelyse Thevenin and Liat Ein-Dor.