The University of Michigan Bioinformatics Training Program

密歇根大学生物信息学培训项目

• 批准号: 9296142
• 负责人: BRIAN David ATHEY
• 金额: $ 23.31万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9296142
• 关键词: Bioinformatics; Michigan; Training Programs; Universities

 DESCRIPTION (provided by applicant): 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.

 描述（由申请人提供）：这是一项更新和发展密歇根大学生物信息学培训计划（U-M BITP）的建议，现在是第10年，每年有8名实习生，为期2-3年的博士前培训，通常在第1年和第3年之间。BITP仍然是我们现在已经建立并受到广泛尊重的U-M生物信息学研究生计划（BGP）的一部分。BGP（及其BITP）是生物信息学和计算生物学的跨学科研究生培训计划，吸引了医学院，工程学院，文学，科学和艺术学院（LS&A;包括数学，统计学，化学和物理学系），公共卫生学院，护理学院，药学院和信息学院的教师。BGP和BITP嵌入在U-M计算医学和生物信息学中心（CCMB），这是一个跨学科研究和教育中心，提供跨学科研究和培训环境。CCMB目前在密歇根大学有127名附属教员，其中48人作为潜在的初级导师参加了这个BITP。CCMB托管在我们的密歇根大学医学院计算医学和生物信息学系（DCM&B），目前有14个主要教师职位，加上12个附属教师，和4个研究轨道核心教师。所有核心DCM&B教师都是BITP学员的合格导师。BITP学员有生物信息学，统计学，数据科学和生物学/生物医学研究生课程的完整课程可供选择，期刊俱乐部，研讨会，研讨会和特别活动。BITP论文培训采用“双导师”方法，结合了定量/计算和DBP应用元素。位于密歇根大学的transSMART基金会、癌症生物统计学、蛋白质组信息学活动、NIDDK代谢组学中心和CTSA生物医学信息学项目都获得了国家认可，是BITP学员的天然磁石。BITP的目标是通过让学生参与严格的课程和博士前培训经验来培养学生的生物信息学和应用计算生物学。BITP学员从事尖端的合作研究，具有强大的“驱动生物学问题”（DBP）应用程序，通常导致BTP学员有很强的T1转化研究方向。BGP已毕业55名博士自2006年第一次以来，一直在培训生物信息学学员。在这批受训人员中，迄今已有10名BTP受训人员毕业。这些毕业生在工业，学术和政府领域开展了令人兴奋的职业生涯。BGP和BITP已经建立了数据科学培训课程，并积极参与新兴的密歇根数据科学研究所（MIDAS），该研究所将提供数据科学证书，以加强数据科学集中者的生物信息学培训。BTP的总体目标是提供美国最好的生物信息学培训环境和学员体验。