Using Multi-Omic Data to Model Gene Regulatory Networks

Abstract

Understanding the complex structure of gene regulation, gene regulatory networks, and how those networks are altered in specific biological contexts, are all critical for developing effective, precision-medicine based therapeutic strategies. Integrating multi-omics data to model gene regulatory networks can provide unprecedented insights into the mechanisms underlying biological systems. Along these lines, our group has developed a suite of computational approaches that support: (1) effectively integrating multi-Omic data to model gene regulation; (2) performing network analysis to identify regulatory mechanisms mediating changes in biological state; and (3) linking regulatory alterations with patient phenotypes to support precision medicine. In this talk, I will review several specific applications in which we have used these methods to model complex regulatory processes and to gain specific insights into disease.