The Przytycki Lab develops algorithms for the analysis and interpretation of large-scale genomics data, with a focus on the role of the non-coding genome in development and disease. We build interpretable models rooted in a deep understanding of networks, graph theory, and statistics. A guiding principle of our research is that simple models with intuitive methods for combining data often lead to the most biologically meaningful results.