Mathematical and Computational Approaches in High-Throughput Genomics Training

 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与计算科学方面具有显著的优势。然而，培养这样的跨学科研究人员非常困难。大多数研究生课程和其他培训课程都非常注重这些学科之一。 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，提供一个旨在促进跨学科研究的教育计划。该培训计划将包括一个为期一周的教学部分，涵盖生物学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，并提供参与者作为导师访问领先的研究人员。

 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.