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Computational Biology

Within the field of genetic medicine, biology has evolved from an observational science to one capable of testing hypotheses, and now to a science that makes copious use of mathematical modeling and analysis to understand complex, systematic interactions. Computational biology is a marriage of biology, mathematics and computer science that provides valuable insights in the form of:

  • predictive models of complex biological systems
  • statistical analyses and pattern recognition in large data sets
  • analysis of risk factors in clinical and genetic sciences 

In the Weill Cornell Department of Genetic Medicine, large datasets produced from cutting-edge genomic and transcriptomic studies provide the basis for the development of our computational biology tools. These resources facilitate the implementation of our genome-wide association studies and transcriptional signatures, which define the biological response to environmental stressors and pathophysiological conditions (such as cigarette smoking and chronic obstructive pulmonary disease [COPD]). Our computational biologists play a crucial role performing this essential translational research in the Department of Genetic Medicine.

(646) 962 2672

Contact Information

Genetic Medicine 1305 York Ave., 13th Floor New York, NY 10065 Phone: (646) 962-2672 Fax: (646) 962-0380