Modeling and Inference of Transcriptional Regulatory Networks
Living systems are manifestations of their underlying complex dynamical networks of molecular interactions. A paramount problem is to understand how functional cellular behavior and interaction with the cell's environment is mediated by these complex molecular systems. Recent advances in measurement technologies allow us to interrogate biological systems and collect massive amounts of heterogeneous information under a variety of experimental conditions. Integrating this information and constructing predictive models of system behavior are the central goals of systems biology. I will discuss our efforts focused on the inference of models of transcriptional regulatory networks from high-throughput measurement data, integration of multiple sources of evidence, network simulation and visualization tools, and the use of such models for gaining insight into the nature of cellular behavior in health and disease.
Ilya Shmulevich, Institute for Systems Biology
