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MS-Bioinformatics, MS-Clinical Bioinformatics (MD Track), PhD-Bioinformatics

Location : Boston University, Boston, Massachusetts, USA.

http://www.bu.edu/bioinformatics/

PageRank  out of 10

Description :

Computational modeling of regulatatory and metabolic networks, docking, comparative genomics, protein design, genomic and proteomic biotechnology, microarray engineering and analysis, pharmacogenomics, structural biology, large scale modeling of biological systems, RNA, computational studies of cancer and neurological disorders and functional genomics, synthetic gene networks and molecular computing and genetics. ------------------- The PhD Program in Bioinformatics was approved by the Boston University Board of Trustees in May, 1999. The Program has one overriding goal: to educate talented and highly motivated women and men for leadership in the post-genomic era. The Program provides unique interdisciplinary training in the science, engineering, medicine and ethics of twenty first Century cell biology. It includes some 50 faculty from five Schools and Colleges: The College of Arts and Science, the School of Dental Medicine, the College of Engineering, the School of Law, and the School of Medicine. Our teachings focus on the molecular biology and physics of the cell, and emphasize the use of advanced mathematics and computation. The educational program offers industrial rotations, internships and grand rounds, in addition to courses that integrate biology with the information sciences and engineering. The program also includes training designed to sensitize students to the ethical and legal implications of emerging technologies. The research program includes state of the art topics such as systems biology, computational modeling of regulatory and metabolic networks, docking, comparative genomics, protein design, genomic and proteomic biotechnology, microarray engineering and analysis, pharmacogenomics, structural biology, large scale modeling of biological systems, RNA, computational studies of cancer and neurological disorders and functional genomics, synthetic gene networks and molecular computing and genetics. The program creates an exciting, dynamic environment in which students learn from each other as well as from the faculty.


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