Interdisciplinary training: Statistical Genetics/Genomics and Computational Biology

跨学科培训：统计遗传学/基因组学和计算生物学

• 批准号: 10433911
• 负责人: Curtis Huttenhower
• 金额: $ 41.63万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10433911
• 关键词: Computational Biology; Genetic; Genomics; Training

PROJECT SUMMARY/ABSTRACT This is an application of the Interdisciplinary Training Program in Statistical Genetics/Genomics and Computational Biology at the Harvard School of Public Health (HSPH). Trainees will be pre-doctoral students at HSPH in the Departments of Biostatistics and Epidemiology, which will jointly administer the grant. The Program proposes support for 8 predoctoral students in years 1-2 and 10 predoctoral students in years 3-5. This is the only program at Harvard School of Public Health that provides integrative training in statistical genetics/genomics and computational biology. The goal of the program is to train the next generation of quantitative genomic scientists to have a strong understanding of, and commitment to, cutting-edge methodological and collaborative research in statistical genetics/genomics and bioinformatics/computational biology with applications in genetic epidemiology, molecular biology and genomic medicine. We are committed to train trainees to become future quantitative leaders to develop and apply advanced, scalable statistical and computational methods to manage, analyze, integrate, and interpret massive genetic and genomic data in basic science, epidemiological and clinical studies, to promote interdisciplinary research, and to effectively communicate and collaborate with subject-matter scientists in genetic and genomic research. Trainees receive quantitative training in big `omics data science and reproducible research. The training program involves active participation by 26 multidisciplinary faculty members who are recognized scientific leaders, including biostatisticians, bioinformaticians and computational biologists, genetic epidemiologists, and molecular biologists, and clinical genomicists. It combines elements of training in coursework, lab rotations in both wet labs in biological science and dry labs in statistical genetics and genomics, computational biology, and genetic epidemiology, directed methodological and collaborative research, and rich career development opportunities in a stimulating and nurturing interdisciplinary environment, that will prepare graduates to become leading quantitative genomic scientists. Trainees will be provided with extensive individualized mentoring tailored towards their career objectives and are required to develop Individual Development Plans. The rich career development programs help trainees gain skills in scientific communication, teaching, grant and paper writing, teamwork, collaboration, and leadership. Trainee progress is closely monitored to ensure that those who are struggling can be quickly identified and receive timely support. The Program evaluation process involves both internal and external feedbacks from all the stakeholders, including current and past trainees, faculty and the External Advisory Committee. Recruitment and retention plans are carefully developed to promote diversity and ensure participation and full inclusion of underrepresented minorities, women, disabled and economically- disadvantaged trainees.

项目摘要/摘要 这是跨学科培训计划在统计遗传学/基因组学和 哈佛公共卫生学院（HSPH）的计算生物学。学员将是博士前的学生 在生物统计学和流行病学部门的HSPH，将共同管理该赠款。这 计划在1 - 2年内为8年的8年和10年学生提供支持的支持。 这是哈佛大学公共卫生学院唯一提供统计综合培训的计划 遗传学/基因组学和计算生物学。该计划的目的是训练下一代 定量基因组科学家对尖端有深刻的了解和承诺 统计遗传学/基因组学和生物信息学/计算的方法和协作研究 生物学在遗传流行病学，分子生物学和基因组医学中应用。我们承诺 培训学员成为未来的定量领导者，以发展和应用高级，可扩展的统计和 在管理，分析，整合和解释大量遗传和基因组数据的计算方法 基础科学，流行病学和临床研究，以促进跨学科研究，并有效地 在遗传和基因组研究中与学科科学家进行交流和合作。受训者收到 大型数据科学和可再现研究中的定量培训。培训计划涉及活跃 26位多学科教职员工参与，他们是公认的科学领袖，包括 生物统计学家，生物信息学家和计算生物学家，遗传流行病学家和分子 生物学家和临床基因组学家。它结合了课程工作中培训的要素，两个湿的实验室轮换 统计遗传学和基因组学，计算生物学和遗传学的生物科学和干燥实验室实验室 流行病学，指导方法论和协作研究以及丰富的职业发展机会 在刺激和培育的跨学科环境中，这将使毕业生成为领导者 定量基因组科学家。学员将获得广泛的个性化指导量身定制的 达到他们的职业目标，并需要制定个人发展计划。富裕的职业 开发计划可帮助学员获得科学沟通，教学，赠款和纸质写作的技能， 团队合作，协作和领导力。对学员的进度进行密切监控，以确保那些 可以快速识别挣扎并获得及时的支持。计划评估过程都涉及 所有利益相关者的内部和外部反馈，包括当前和过去的学员，教职员工和 外部咨询委员会。精心制定招聘和保留计划以促进多样性 并确保参与并完全包括代表性不足的少数群体，妇女，残疾和经济上的 处境不利的学员。