Kevin White (University of Chicago)
Quantitative & Computational Biology Seminar Series
Director, Institute for Genomics & Systems Biology, UofC and Argonne National Laboratory (ANL)
University of chicago
Systems level approaches to construct abstract molecular networks can lead to predictions about genetic and biochemical functions in cells, organisms and in disease states. We have used integrated experimental and computational approach to construct a large scale functional networks in both model organisms and human cancer cells. Our network models are based on a combination of gene expression, transcription factor DNA binding site mapping, automated literature mining and protein-protein interaction mapping. We provide a strategy for reducing the dimensionality of the massive networks that result from such integrated whole genome analyses. I will present examples from both Drosophila and human breast cancer cell lines that illustrate how one can translate systems biology-driven findings in model systems to useful tools for diagnosing human diseases. I will also discuss our use of large scale genome sequence data in the context of systems approaches to developing prognostic signatures for breast cancer, and the use of cloud computing to manage and mine ‘omics data.
Integrating Genomic Networks to Identify Biomarkers and Drug Targets
Free and open to the university community and the public