Mathematical and Computational Approaches in High-Throughput Genomics Training

高通量基因组学训练中的数学和计算方法

• 批准号: 9132317
• 负责人: ELEAZAR ESKIN
• 金额: $ 21.56万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9132317
• 关键词: Academia; Area; Biological; Biological Sciences; Biomedical Research; California; Communities; Computational Science; Data Analyses; Development; Discipline; Disease; Doctor of Philosophy; Education; Educational workshop; Evaluation; Fostering; Future; Genomics; Goals; Government; Health; High Performance Computing; Human Genetics; Individual; Industry; Institutes; Interdisciplinary Study; Length; Los Angeles; Mathematics; Mentors; Mission; Outcome; Participant; Population Genetics; Principal Investigator; Research; Research Personnel; Research Training; Resources; Science; Science of genetics; Series; Structure; Students; Technology; Testing; Training; Training Programs; Universities; Writing; biomedical scientist; cancer genomics; career; collaboratory; computer science; computerized tools; computing resources; design; digital; education research; experience; falls; innovation; instructor; interest; learning materials; lectures; mathematical sciences; microbiome; mid-career faculty; next generation; programs; skills; transcriptomics

 DESCRIPTION (provided by applicant): The recent advances in high-throughput genomic technology have profoundly transformed biomedical research and provided tremendous opportunities for mathematical and computational research to contribute to biomedical research. The next generation of biomedical scientist will have significant strength in both the biological sciences and the mathematical and computational sciences. However, training such interdisciplinary researchers is very difficult. Most graduate programs and other training programs focus heavily on one of these disciplines. We propose to partner with the UCLA Institute for Pure and Applied Mathematics to offer an educational program targeted at fostering interdisciplinary research. This training program will consist of a one week didactic portion covering current research in the intersection of biological and computational research. The remainder of the program will be three week research practicum designed to provide training in research and provide participant's access to leading researchers as mentors.

 描述（由申请人提供）：高通量基因组技术的最新进展深刻地改变了生物医学研究，并为数学和计算研究为生物医学研究做出贡献提供了巨大的机会。下一代生物医学科学家将在生物科学以及数学和计算科学方面拥有强大的实力。然而，培养这样的跨学科研究人员是非常困难的。大多数研究生课程和其他培训课程都重点关注这些学科之一。 我们建议与加州大学洛杉矶分校纯粹与应用数学研究所合作，提供旨在促进跨学科研究的教育计划。该培训计划将包括为期一周的教学部分，涵盖生物和计算研究交叉领域的当前研究。该计划的其余部分将是为期三周的研究实习，旨在提供研究培训，并为参与者提供与领先研究人员作为导师的机会。