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AI & Machine Learning -
Applications to Complex Genetic Diseases -
4D Nucleome -
Genomics, Gene Regulation & Epigenomics -
Multi-“omics” Integrative Bioinformatics -
Protein Structure, Proteomics & Alternative Splicing -
Systems Biology & Networks Analysis -
Translational Bioinformatics, Drug Discovery & Pharmacogenomics -
Grants -
Software & Bioinformatics Tools
With “systems biology,” DCMB scientists seek to understand the larger picture—be it at the level of the organism, tissue, or cell—by putting its pieces together.
Combining experimental biology with computational modeling, simulation and bioinformatics, systems biology aims to understand how a biological system (cells, organs, an organism, or a population of organisms) functions, based on our understanding of its components and the understanding that “the whole is larger than the sum of the parts.” As a component of systems biology, network analysis applies theories that have been developed in the study of computer networks, social networks and physical networks to biological systems, to generate predictive models of the behavior of biological systems.
This area of research overlaps with Multi-omics.
The following DCMB and CCMB faculty members work in this area.
Assistant Professor of Computational Medicine and Bioinformatics
Professor of Internal Medicine
Associate Professor of Computational Medicine and Bioinformatics
Professor of Mathematics
College of Literature, Science, and the Arts
Professor of Radiation Oncology
Professor of Biostatistics