About the Institute

The detailed understanding of complex interactions underlying normal and pathophysiological states of cells, tissues, and organs remains a significant challenge in the biomedical sciences today. This understanding can emerge from the analysis of the large amounts of data that recently have become available to scientists.

Today, the development of mathematical modeling, large-scale computational simulation, and information management can assist us in the study of genomes, proteomes, and complex physiological systems.

With the creation of the Institute for Computational Biomedicine (ICB), Weill Medical College of Cornell University will realize the full potential of mathematics and computation to enhance the study of medicine. Employing the tools of applied mathematics and computer-based technologies will enable physician-scientists to attack complex medical problems formerly beyond their reach.

A Unique Approach

As we now know, what sets two organisms apart is not the number or even the types of genes that compose them, but the ways in which these genes interact. How our genes arrange themselves into systems is the true determining factor of biology. In order to fully grasp the information held within a single gene, we must consider its relation to the cells, tissues, and organs that make up the entire system. Unlike its existing counterparts in the field of Computational Biology, the ICB at Weill Cornell will integrate genomic and cellular data with the larger issues of biomedicine.

Furthermore, the ICB will serve as a central component of the Tri-Institutional Program in Computational Biology and Medicine with The Rockefeller University and Sloan-Kettering Institute.

Read more about the institute research focus.

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News
Jul, 2009; ChIPseeqer, a comprehensive framework for analysis of ChIP-seq data developed in the Elemento lab, is now available for download. [More]
Apr, 2009; The BDVal program developed by the Campagne laboratory for MAQC-II is now available from http://bdval.org. The software supports the development and evaluation of predictive biomarker models from high-throughput data. The web site offers binary and source distributions. [More]
Jan, 2009; Twease now supports searching MEDLINE articles by Author, Journal, and Publication Year. Examples for performing these searches can be found in the updated Twease tutorial. [More]

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Events
Dec 11th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Fabien Campagne; ICB Conference Room - Y.1301
Jan 15th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Lei Shi; ICB Conference Room - Y.1301
Feb 12th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Christopher E. Mason; ICB Conference Room - Y.1301
Mar 12th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Olivier Elemento; ICB Conference Room - Y.1301
Apr 9th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Emre Aksay; ICB Conference Room - Y.1301
May 14th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Jonathan D. Victor; ICB Conference Room - Y.1301
Jun 11th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Harel Weinstein; ICB Conference Room - Y.1301
Jul 9th; 4:00pm-5:00pm: Institute for Computational Biomedicine Research in Progress Seminar Series - Duane Hassane; ICB Conference Room - Y.1301