Predoctoral Biostatistics Training in Genesis/Genomics

创世纪/基因组学博士前生物统计学培训

• 批准号: 7123200
• 负责人: Giovanni Luigi PARMIGIANI
• 金额: $ 14.15万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7123200
• 关键词: Predoctoral; Biostatistics; Training; Genesis; Genomics

DESCRIPTION (provided by applicant): Goals: The JHU Department of Biostatistics proposes a joint MHS-PhD built upon the existing Bioinformatics MHS and Biostatistics PhD programs. The program's goal is to produce graduates that will be full scientific partners on interdisciplinary biomedical research teams. This will be achieved by integrating rigorous training in biostatistics and bioinformatics design and analysis methods with training and direct participation in translational and cross-disciplinary research in molecular and population genetics. Strengths: The JHU biomedical research and education environment is internationally recognized in all areas required to meet our goal. Our program will be built on the successful PhD program in Biostatistics and MHS program in Bioinformatics, and will draw additional strength from the PhD programs in Applied Mathematics & Statistics, Human Genetics, and Genetic Epidemiology. Institutional support includes an outstanding biocomputing infrastructure and a dry laboratory space that provides a common intellectual and physical environment for researchers in all computational aspects of molecular and population genetics to work together with our trainees. Our methodological core faculty has an established record of research in a broad spectrum of design and data analysis problems in genetics and genomics, often coupled with a high-impact substantive research agenda, and a demonstrated record of collaboration and contributions to translational research. Plan: The integrated MHS/PhD program has a straightforward overall structure, consisting of four parallel sequences of courses in Genetics, Computing, Statistical Methods, and Theory, complemented by a laboratory rotation, an internship-based MHS capstone project and the PhD theses. The proposed coursework allows for considerably increased flexibility compared to standard biostatistics curricula and includes substantial additional interdisciplinary training. Training grant support will be provided for up to six trainees per year. Each will be supported for the initial 3 years; research assistantships will fund the remaining period. The program will be housed in the Department of Biostatistics and be supported by faculty in the Departments of Biostatistics, Applied Mathematics & Statistics, Epidemiology, Molecular Microbiology & Immunology, and Oncology.

描述（由申请人提供）： 目标：JHU 生物统计学系提议在现有生物信息学 MHS 和生物统计学博士项目的基础上建立联合 MHS-PhD 项目。该项目的目标是培养毕业生成为跨学科生物医学研究团队的正式科学合作伙伴。这将通过将生物统计学和生物信息学设计和分析方法的严格培训与分子和群体遗传学的转化和跨学科研究的培训和直接参与相结合来实现。优势：约翰霍普金斯大学生物医学研究和教育环境在实现我们目标所需的所有领域都得到国际认可。我们的项目将建立在成功的生物统计学博士项目和生物信息学 MHS 项目的基础上，并将从应用数学与统计学、人类遗传学和遗传流行病学博士项目中汲取额外的力量。机构支持包括出色的生物计算基础设施和干燥的实验室空间，为分子和群体遗传学所有计算方面的研究人员与我们的学员一起工作提供共同的智力和物理环境。我们的方法论核心教师在遗传学和基因组学的广泛设计和数据分析问题方面拥有丰富的研究记录，通常还伴有高影响力的实质性研究议程，以及对转化研究的合作和贡献的良好记录。计划：综合 MHS/博士课程具有简单的整体结构，由遗传学、计算、统计方法和理论的四个并行课程序列组成，并辅以实验室轮换、基于实习的 MHS 顶点项目和博士论文。与标准生物统计学课程相比，拟议的课程可显着提高灵活性，并包括大量额外的跨学科培训。每年将为最多六名学员提供培训补助金支持。每个人都将在最初 3 年获得支持；研究助理奖学金将为剩余期间提供资金。该项目将设在生物统计学系，并得到生物统计学、应用数学与统计学、流行病学、分子微生物学与免疫学以及肿瘤学系教师的支持。