Biology is increasingly becoming an information-driven science. To harness the opportunities of the post-genomic era in furthering health sciences research and improving health care, there is an enormous demand for biologists who are trained in mathematics and computer science and can think quantitatively. However, current disciplinary graduate training programs are not designed to accommodate these rapid changes in the biological research perspective. This need serves as the motivation for the development of specialized graduate training programs that will train students at the interface between biology, engineering and computer science. To address this need, UCSD established an interdisciplinary Graduate Program in Bioinformatics in 2001 under the directorship of Dr. Shankar Subramaniam. In 2008, it was renamed Graduate Program in Bioinformatics and Systems Biology and reorganized with Drs. Pavel Pevzner and Alex Hoffmann taking on the directorship, and the continued guidance from Dr. Subramaniam and an active steering committee containing representative faculty from all five participating UCSD schools and academic divisions. The primary objectives of this renewal application of the Training Grant by the three co-PIs are to continue and expand this premier Graduate Program, support the highest quality students in their truly interdisciplinary training which blends biomedicine, computer science and engineering. Indeed in the course of their training Program students have contributed important discoveries and impactful advances in health sciences research. The Program will continue to offer a core curriculum and a host of electives that will prepare a student solve difficult problems in biomedical research. Research training begins with a set of research rotations in laboratories of faculty members, and continues through doctoral research work under the supervision of a Ph.D. advisor and co-advisor who provide complementary interdisciplinary expertise, as well as the doctoral thesis committee. The Program will continue to a recently established weekly Colloquium, the student Journal Club, and annual retreat. Given the extraordinary number and quality of applicants, the capacity and eagerness of the Program faculty to train the Program's students, and the institutional support for the Program, this application seeks to increase the number of trainee slots to 18. Following Training Grant support of Graduate students during their course work education and initial research training, all graduate students will be supported by their thesis advisors for the duration of their Ph.D. studies.

Public Health Relevance

The purpose of this doctoral training program is to train students in the emerging interdisciplinary area of Bioinformatics and Systems Biology. The NIH has recognized that there is a critical need for such interdisciplinary training that integrates the biomedical, computational and engineering sciences, in order to harness the opportunities of the post-genomic to furthering the health sciences research and improving health care.

Agency
National Institute of Health (NIH)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM008806-14
Application #
8689072
Study Section
National Institute of General Medical Sciences Initial Review Group (BRT)
Program Officer
Marcus, Stephen
Project Start
Project End
Budget Start
Budget End
Support Year
14
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of California San Diego
Department
Engineering (All Types)
Type
Schools of Arts and Sciences
DUNS #
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Myers-Turnbull, Douglas; Bliven, Spencer E; Rose, Peter W et al. (2014) Systematic detection of internal symmetry in proteins using CE-Symm. J Mol Biol 426:2255-68
Beliakova-Bethell, Nadejda; Massanella, Marta; White, Cory et al. (2014) The effect of cell subset isolation method on gene expression in leukocytes. Cytometry A 85:94-104
Dutkowski, Janusz; Ono, Keiichiro; Kramer, Michael et al. (2014) NeXO Web: the NeXO ontology database and visualization platform. Nucleic Acids Res 42:D1269-74
Tanaka, Karo; Eskin, Ascia; Chareyre, Fabrice et al. (2013) Therapeutic potential of HSP90 inhibition for neurofibromatosis type 2. Clin Cancer Res 19:3856-70
Lo, Justin H; von Maltzahn, Geoffrey; Douglass, Jacqueline et al. (2013) Nanoparticle amplification via photothermal unveiling of cryptic collagen binding sites. J Mater Chem B Mater Biol Med 1:5235-5240
Kim, Sangwoo; Jeong, Kyowon; Bhutani, Kunal et al. (2013) Virmid: accurate detection of somatic mutations with sample impurity inference. Genome Biol 14:R90
Ohmen, Jeffrey Douglass; White, Cory H; Li, Xin et al. (2013) Genetic evidence for an ethnic diversity in the susceptibility to Meniere's disease. Otol Neurotol 34:1336-41
Encalada, Sandra E; Szpankowski, Lukasz; Xia, Chun-hong et al. (2011) Stable kinesin and dynein assemblies drive the axonal transport of mammalian prion protein vesicles. Cell 144:551-65