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Featured Events

BioMaPS Seminar Series - Upcoming Seminars
 

February 10:  Ned Wingreen - Princeton University

"Modeling Adaptation in E. Coli Chemotaxis: Precise, Robust, and Optimized"

 

February 17:  Nadav Shnerb - Bar-Ilan University, Israel

"From Surnames to Genomes: An Extended Ewens Formula as an Inference Tool"

 

February 17:  Physics Colloquium

Gustavo Stolovitzky - IBM

"Base-by-Base Ratcheting of Single Stranded DNA Through a Solid-State Nanopore: The DNA Transistor"

 

February 19:  Thomas Angelini - Harvard (Weitz Group)

"Forces in Collective Cell Motion"

Seminar jointly sponsored with the Department of Physics & Astronomy

 

February 24:  Vladimir Belyi - Institute for Advanced Study

"Ghosts of Ancient Viruses"


 

                                               Biological Physics Seminar Series ~ Student Seminar Series

 

Biological Physics Seminar Series: February 12, 2010 - Sridhar Hannenhalli , University of Pennsylvania

"Comparative Genomics Gene Transcription "

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Welcome to the BioMaPS Institute for Quantitative Biology at Rutgers University

 

The BioMaPS Institute for Quantitative Biology provides support for research and graduate education in biology at the interface with the mathematical and physical sciences; facilitates interactions among experimentalists and theoreticians working on problems in molecular biophysics, computational and systems biology; and provides training for a new generation of scientists using the latest computational and modeling tools. The Institute is the home and provides oversight of the Graduate Program in Computational Biology and Molecular Biophysics.

 

Research at the BioMaPS Institute combines molecular level details and biophysical modeling with statistical and bioinformatics tools to provide a multi-scale view of complex biological systems. Current foci of collaborative research at the Institute include: transcriptional regulation of gene expression; modeling of biological pathways and interaction networks; proteomics; structure-based drug and vaccine design; and development of computational and statistical methods for the classification of cancer patients. Additional research problems are described on the individual Institute faculty web pages.

 

Students completing the interdisciplinary Graduate Program in Computational Biology and Molecular Biophysics are awarded the Ph.D.-degree. Courses and dissertation research are focused on the concepts and techniques of molecular and structural biology; bioinformatics and computational biology; statistical physics and mathematical modeling. In addition, the program provides the necessary infrastructure (courses and faculty) for students enrolled in the Molecular Biosciences umbrella program at Rutgers who wish to specialize in computational and structural biology.