A Computational Biology and Predictive Health Genomics Training Program at GT

描述(由申请人提供)：佐治亚理工学院的计算生物学和生物医学基因组学培训计划这项T32提案将在佐治亚理工学院建立一个Ruth Kirschstein生物信息学和计算生物学的机构培训计划。它建立在十多年生物信息学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系之一在系统生物学和与基因组学相关的计算建模方面的现有优势。要求提供资金，在五年内每年支持两名新的博士生，在项目关键的第二和第三年，当他们从课程工作过渡到独立研究时，提供稳定性和支持创新。该计划的五个主要特点是(I)为美国东南部建立计算基因组学培训计划，(Ii)生物学、生物工程和卫生系统统计研究的广泛招聘基础，(Iii)高度跨学科的一系列课程 生物信息学、计算基因组学、多元统计、数量遗传学、分子进化和系统建模，(Iv)在招收和毕业人数不足的少数族裔方面表现出色，非洲裔美国人或西班牙裔学生占学生总数的15%以上，(V)建立了专门针对预测健康基因组学的首批培训计划之一，也与临床基因组学家硕士水平培训的长期愿景相联系。这个 学员将在竞争的基础上从分布在23个导师研究小组的预计每年10名候选人中挑选出来。计算生物学和生物医学基因组学计划每年的学生将学习两个学期的基础课程和计算理论和方法的核心课程，然后专攻生物信息学、系统生物学或预测健康。学生将在毕业时掌握计算遗传学、分子/细胞生物学和进化论的基本知识，同时进行在许多情况下面向生物工程和医疗创新的转化性研究的研究。

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.