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

基本信息

批准号：
8935619
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
项目类别：
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/8935619
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 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 experience falls innovation instructor interest lectures mathematical sciences microbiome next generation professor programs public health relevance skills transcriptomics

项目摘要

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（由适用提供）：高通量基因组技术的最新进展已深刻地改变了生物医学研究，并为数学和计算研究提供了巨大的机会，以促进生物医学研究。下一代生物医学科学家将在生物科学和数学和计算科学中具有重要的力量。但是，培训此类跨学科研究人员非常困难。大多数研究生计划和其他培训计划都将重点放在其中一个学科上。我们建议与UCLA纯和应用数学研究所合作，以提供针对促进跨学科研究的教育计划。该培训计划将包括一个星期的教学部分，涵盖了生物学和计算研究相交的当前研究。该计划的其余部分将是为期三周的研究实践，旨在提供研究培训，并为参与者提供与领先的研究人员的访问。