This is a proposal to renew and grow the University of Michigan Bioinformatics Training Program (U-M BITP), now in year 10, to 8 trainee slots/year for 2-3 years of pre-doctoral training, usually between years 1 and 3. BITP continues to be a part of our now well established and widely respected U-M Bioinformatics Graduate Program (BGP). The BGP (and its BITP) is an interdisciplinary graduate training program in bioinformatics and computational biology, drawing faculty from the School of Medicine, College of Engineering, College of Literature, Sciences and the Arts (LS&A; Including the Departments of Mathematics, Statistics, Chemistry, and Physics), the School of Public Health, School of Nursing, the College of Pharmacy, and the School of Information. The BGP and BITP are embedded in the U-M Center for Computational Medicine and Bioinformatics (CCMB), an interdisciplinary research and education center that provide the interdisciplinary research and training context. CCMB currently has 127 affiliate faculty members across the U-M, 48 of whom are participating in this BITP as potential primary mentors. CCMB is hosted within our University of Michigan Medical School Department of Computational Medicine and Bioinformatics (DCM&B), which currently has 14 primary faculty appointments, plus 12 affiliate faculty, and 4 research track core faculty members. All core DCM&B faculty members are eligible mentors of BITP trainees. BITP trainees have a full curriculum of Bioinformatics, Statistics, Data Science, and Biology/Biomedicine graduate courses to choose from, journal clubs, seminars, workshops, and special events. The BITP dissertation training utilizes a dual-mentor approach, which combines quantitative/computational and DBP application elements. The U-M-based tranSMART Foundation, cancer biostatistics, proteome informatics activities, NIDDK Metabolomics Center, and the CTSA Biomedical Informatics Program have all achieved national recognition, and are a natural magnet for BITP trainees. The goal of the BITP is to train students in bioinformatics and applied computational biology by engaging them in a rigorous curriculum and pre-doctoral training experience. BITP trainees engage in cutting-edge collaborative research featuring a strong driving biological problem (DBP) application, often leading BTP trainees to have a strong T1 Translational Research orientation. The BGP has graduated 55 Ph.D. trainees in bioinformatics since its first in 2006. Within this trainee cohort, 10 BTP traines have graduated to date. These graduates have launched exciting careers in industry, academics, and government. The BGP and BITP has established a Data Science Training Track, and is actively engaged in the emerging Michigan Institute for Data Science (MIDAS), which will be offering a Data Science Certificate to enhance bioinformatics training for Data Science Concentrators. The overall objective of the BTP is to provide the finest Bioinformatics Training environment and trainee experience available in the US.

Public Health Relevance

This is a proposal to renew and grow the University of Michigan Bioinformatics Training Program (U-M BITP) to 8 trainee slots/year for 2-3 years of Pre-doctoral Training in Bioinformatics, usually between years Graduate Student years 1-3. BITP continues to be an integral part of our now well established and highly regarded U-M Bioinformatics Graduate Program (BGP), entering its 15th year.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
2T32GM070449-11
Application #
8999500
Study Section
Training and Workforce Development Subcommittee - D (TWD)
Program Officer
Marcus, Stephen
Project Start
2004-05-01
Project End
2021-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
11
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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