University of Miami Computational Ocular Genomics Training Program

迈阿密大学计算眼部基因组学培训计划

• 批准号: 8997095
• 负责人: William K SCOTT
• 金额: $ 15.12万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8997095
• 关键词: Genomics; Training Programs; Universities

DESCRIPTION (provided by applicant): The need for training in computational methods in genomic studies has been recognized throughout the progression of the human genome project. In 2008, a NIGMS and NHGRI sponsored workshop noted the growing need for training in statistical genetics and genetic epidemiology. A subsequent workshop conducted by NEI in 2009 to identify gaps, needs, and opportunities in ophthalmic genetics also recognized the rapid growth of data sets produced by high-throughput technologies, stating that "Collecting, storing, processing, and analyzing data requires a new generation of biomedical researchers with computational and statistical expertise. Training the next generation of vision researchers in statistical genetics and bioinformatics is critical." NEI RFA EY-10-001, soliciting proposals for training programs in statistical genetics and genome informatics is an important endorsement of this point of view, and provides a mechanism for supporting such training. This response to that RFA would create the University of Miami Computational Ocular Genomics Training Program (COGTP). The solution to the "big data" problem in ophthalmic genomics is to develop multi-disciplinary training programs drawing mentors from each of these areas of expertise. Just as studies conducted in this area are generally multi-investigator teams made up of individuals from varied training backgrounds, the faculty for such a training program must be similarly diverse. Cross-training graduate students and post-doctoral fellows to handle such data requires a partnership of investigators conducting research in computational genetics and vision science. The COGTP draws upon the world-class research and clinical facilities of the Hussman Institute for Human Genomics and Bascom Palmer Eye Institute, providing a cutting-edge environment for this multidisciplinary training initiative. With this in mind, the objectives of this training program are to: a. Broadly train pre-doctoral researchers in human genetics (clinical, computational and molecular) and vision science. To fulfill this objective, we will build on the existing multi-disciplinary Human Genetics and Genomics PhD program, adding a co-mentoring strategy and visual science didactic component. b. Cross-train post-doctoral fellows with backgrounds in computational genetics or vision science in the corresponding discipline, to allow them to move into this field. This training program would greatly impact the field by supporting five pre-doctoral and two post-doctoral trainees in this area, addressing the need for scientists broadly trained in computational genomics and vision science.

描述（由申请人提供）：在人类基因组计划的整个进展过程中，已经认识到需要在基因组研究中进行计算方法的培训。2008年，NIGMS和NHGRI主办的一个研讨会指出，统计遗传学和遗传流行病学方面的培训需求日益增长。NEI在2009年举办的后续研讨会旨在确定眼科遗传学的差距，需求和机会，也认识到高通量技术产生的数据集的快速增长，指出“收集，存储，处理和分析数据需要新一代具有计算和统计专业知识的生物医学研究人员。在统计遗传学和生物信息学方面培训下一代视觉研究人员至关重要。“NEI RFA EY-10-001，征求统计遗传学和基因组信息学培训计划的建议是对这一观点的重要认可，并提供了支持这种培训的机制。对RFA的这种反应将创建迈阿密大学计算眼部基因组学培训计划（COGTP）。 眼科基因组学中“大数据”问题的解决方案是开发多学科培训计划，从这些专业领域中的每一个领域吸引导师。正如在这一领域进行的研究通常是由来自不同培训背景的个人组成的多研究者团队一样，这样一个培训项目的教师也必须同样多样化。交叉培训研究生和博士后研究员来处理这些数据需要研究人员在计算遗传学和视觉科学方面进行研究的合作。COGTP借鉴了Hussman人类基因组学研究所和巴斯科姆帕尔默眼科研究所的世界一流的研究和临床设施，为这一多学科培训计划提供了一个尖端的环境。考虑到这一点，本培训计划的目标是：a.广泛培训人类遗传学（临床，计算和分子）和视觉科学的博士前研究人员。为了实现这一目标，我们将在现有的多学科人类遗传学和基因组学博士课程的基础上，增加共同指导策略和视觉科学教学部分。 B.交叉培训具有相应学科的计算遗传学或视觉科学背景的博士后研究员，使他们能够进入这一领域。 该培训计划将通过支持这一领域的五名博士前和两名博士后学员来极大地影响该领域，解决对在计算基因组学和视觉科学方面接受过广泛培训的科学家的需求。