Space of phylogenetic trees relating four consecutive influenza seasons. Zairis et al. 2016.
The research of our laboratory at Rutgers University focuses on cancer genomics and computational biology.

At Rutgers Cancer Institute's Center for Systems and Computational Biology, we develop novel analytical methods to understand the underlying genetics of human diseases and the molecular epidemiology of disease-causing organisms using high-throughput genomic data. We are interested in identifying prognostic markers in cancer, as well as studying tumor clonal evolution, especially in the contexts of therapeutic resistance, disease transformation, and relapse.

Understanding complexity, dynamics, and stochastic patterns in biological data — concepts native to physics and mathematics — is critical for elucidating how diseases like cancer originate and evolve. As researchers begin searching for more precision-oriented treatments, quantitative biologists play important roles in dissecting the cellular and molecular heterogeneity that enables cancer to resist current treatments. To this end, we are extensively collaborating with scientists and physicians at institutions in the New York metropolitan area. Specifically, as a part of the Precision Medicine Initiative at Rutgers, we are developing and implementing computational approaches for analyzing precision-oncology data from high-depth sequencing.


© Khiabanian Lab 2015

Rutgers University
Rutgers Cancer Institute
Center for Systems and Computational Biology
Department of Pathology and Laboratory Medicine


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