Genomics is revolutionizing research in evolution, developmental biology and, more generally, in the molecular biology of the cell in normal and pathological states. It promises to revolutionize medicine by the development of new diagnostics based on molecular fingerprints, the identification of drug targets, and individualized medicine. The revolution rests on high throughput experimental methods, closely associated high throughput computational methods--machine learning algorithms, mathematical statistics and the like---and modem information technologies that permit easy many to many communication between thousands of users. Our Ph.D. Program in Bioinformatics is currently directed at training two different groups: researchers who will become professionals in the field; i.e. who will move it forward by the development of new methods required for creative experimental research; and biomedical researchers who will be users of the technologies. Because computation and experiment are tightly coupled, all students in the Program must have hands on experience at the bench in addition to intensive training in computational methods. In recognition of the profound effect these technologies are likely to have on the social fabric, all students are required to take a core, full-credit course on legal and ethical implications of genomics. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM070409-04
Application #
7255633
Study Section
Special Emphasis Panel (ZGM1-BRT-0 (04))
Program Officer
Li, Jerry
Project Start
2004-07-01
Project End
2009-06-30
Budget Start
2007-07-01
Budget End
2008-06-30
Support Year
4
Fiscal Year
2007
Total Cost
$178,071
Indirect Cost
Name
Boston University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
049435266
City
Boston
State
MA
Country
United States
Zip Code
02215
Gustafson, Adam M; Snitkin, Evan S; Parker, Stephen C J et al. (2006) Towards the identification of essential genes using targeted genome sequencing and comparative analysis. BMC Genomics 7:265
Snitkin, Evan S; Gustafson, Adam M; Mellor, Joseph et al. (2006) Comparative assessment of performance and genome dependence among phylogenetic profiling methods. BMC Bioinformatics 7:420