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Join a 30-minute webinar led by Dr. John Quackenbush, Professor of Computational Biology and Bioinformatics at Harvard TH Chan School of Public Health, as he explores how complex biological networks influence health and disease. Discover how the interaction between genes and genetic variants within regulatory networks helps define phenotypes and drives phenotypic transitions. Learn about groundbreaking research using network models to understand disease mechanisms, particularly in cancer and chronic obstructive pulmonary disease, through analysis of data from the Genotype-Tissue Expression (GTEx) project spanning 38 tissues. Gain insights into how network structure analysis can identify critical processes in health and disease while revealing potential therapeutic targets. Drawing from his extensive experience as a theoretical physicist turned computational biologist, Dr. Quackenbush, a White House Open Science Champion of Change and National Academy of Medicine member, demonstrates how massive data analysis helps understand the combination of small effects that influence human health and disease risk.
