A Computational Biology and Predictive Health Genomics Training Program at GT

GT 的计算生物学和预测健康基因组学培训项目

• 批准号: 8473373
• 负责人: GREGORY C GIBSON
• 金额: $ 18.05万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8473373
• 关键词: Computational Biology; Genomics; Health; Training Programs

DESCRIPTION (provided by applicant): A Computational Biology and Biomedical Genomics Training Program at The Georgia Institute of Technology This T32 Proposal would establish a Ruth Kirschstein Institutional Training Program in Bioinformatics and Computational Biology at Georgia Tech. It builds on the solid foundation of over a decade of graduate training in Bioinformatics, as well as existing strengths in systems biology and computational modeling allied to genomics through one of the nation's leading Biomedical Engineering departments. Funding is requested to support two new Ph.D. students per year for five years, providing stability and supporting innovation during the crucial second and third years in the program when they are transitioning from course work to independent research. Five key features of the program are (i) the establishment of a computational genomics training program for the south-eastern United States, (ii) a broad base for recruitment across Biology, Bio-Engineering, and Health Systems statistical research, (iii) a highly interdisciplinary series of courses integrating bioinformatics, computational genomics, multivariate statistics, quantitative genetics, molecular evolution, and systems modeling, (iv) excellence in under- represented minority recruitment and graduation with over 15% of the student body African American or Hispanic, and (v) establishment of one of the first training programs specifically oriented to predictive health genomics, also linked to a long-term vision for Masters-level training of clinical genomicists. The trainees will be selected on a competitive basis from an expected pool of ten candidates per year spread across 23 mentor's research groups. Each year's cohort in the Computational Biology and Biomedical Genomics program will take an introductory two-semester ground course and core classes in computational theory and methods, then specialize in bioinformatics, systems biology, or predictive health. Students will graduate with a balance of knowledge across the fundamentals of computational genetics, molecular/cell biology and evolutionary theory, while performing research that in many cases is oriented toward translational research in bioengineering and health care innovation.

描述（由申请人提供）：计算生物学和生物医学基因组学培训计划在技术的格鲁吉亚研究所这T32提案将建立一个露丝Kirschstein机构培训计划在生物信息学和计算生物学在格鲁吉亚技术。它建立在生物信息学十多年研究生培训的坚实基础上，以及通过全国领先的生物医学工程部门之一与基因组学相关的系统生物学和计算建模的现有优势。申请资助两个新的博士学位。学生每年五年，提供稳定性和支持创新在关键的第二年和第三年的程序，当他们从课程工作过渡到独立研究。该计划的五个主要特点是：（一）为美国东南部建立一个计算基因组学培训计划，（二）为生物学，生物工程和卫生系统统计研究提供广泛的招聘基础，（三）高度跨学科的系列课程， 生物信息学、计算基因组学、多元统计学、定量遗传学、分子进化和系统建模，（iv）在代表性不足的少数民族招聘和毕业方面的卓越表现，超过15%的学生是非洲裔美国人或西班牙裔，以及（v）建立了第一个专门面向预测健康基因组学的培训项目之一，还与临床基因组学家硕士级培训的长期愿景有关。的 学员将从23个导师研究小组每年10名候选人中以竞争方式选出。每年的计算生物学和生物医学基因组学计划的队列将采取一个介绍性的两个学期的地面课程和计算理论和方法的核心课程，然后专注于生物信息学，系统生物学或预测健康。学生将毕业于计算遗传学，分子/细胞生物学和进化理论的基础知识的平衡，同时进行研究，在许多情况下是面向生物工程和医疗创新的转化研究。