Education

In the last decade, the fields of genomics, proteomics, imaging and neuro-recording have seen extraordinary advances in high-throughput genome-scale data acquisition and analysis capabilities. The data so acquired enable unprecedented descriptions of complex biological systems (cells, tissues, organisms) through quantitative and qualitative modeling.

Such high-end bioinformatics applications push the envelope of both computational speed and storage space. With the advent of supercomputers, faster and more capable computer architectures enable researchers to tackle some of their most challenging computational problems.

There is a growing need for scientists who have an educational background that integrates biology with computer science and mathematics, who have the background knowledge and technical expertise to fully explore the possibilities provided by this wealth of data and the capacity to analyze it, leading to new biological inferences and breakthrough discoveries.

The faculty at the ICB are deeply committed to preparing the next generation of scientists for the challenges they will face by providing a comprehensive, multidisciplinary, integrated education program. Our graduate programs (listed below) provide unique opportunities and emphasize the use of sophisticated mathematical and computational methods to solve problems in biology and medicine from the protein level to the organ level.


[ graduate programs ]

Weill Medical College of Cornell University and Cornell University (Ithaca) in conjunction with Rockefeller University and Sloan Kettering Research Institute offer two Tri-Institutional programs:

Tri-institutional program in Computational Biology and Medicine

Tri-Institutional MD-PhD Program

Two other graduate programs that are associated with the ICB are:

Physiology Biophysics and Systems Biology Graduate Program

Graduate Program in Neuroscience


[ workshops ]

The ICB offers tutorials in conjunction with the computational biology center at Sloan Kettering Research Institute. Please go to http://www.trii.org for details.

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]

[News Archives] [Mailing List]


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