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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
Systems Biology & Networks Analysis
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.
Associated Faculty
Anne Draelos, PhD
Assistant Professor of Computational Medicine and Bioinformatics, Medical School
Yuanfang Guan, PhD
Professor of Internal Medicine
Alla Karnovsky, PhD
Bioinformatics Master's Program
Associate Professor of Computational Medicine and Bioinformatics
Medical School
Naoki Masuda, PhD
Professor of Mathematics, College of Literature, Science, and the Arts
Indika Rajapakse, PhD
Professor of Mathematics, College of Literature, Science, and the Arts
Professor of Biomedical Engineering, Medical School and College of Engineering
Arvind Rao, PhD
Professor of Radiation Oncology
Medical School
Professor of Biostatistics
School of Public Health
Meng Wang, PhD
Medical School
