Statistical and Computational Methods for Data Management and Analysis in Molecular Genetics

9413215埃文斯该奖项为现代遗传学计算方面的跨学科培训计划提供支持。主题领域包括算法开发、分子进化、序列比对、统计推断和生物信息学的其他方面。这些领域是现代生物学最多学科方法之一的核心。该教员团队包括19名研究人员，他们分别来自工程学院的计算机和信息科学系，文理学院的数学和生物学系，以及医学院的遗传学和人类遗传学系。该小组包括初级和高级调查人员，其中几人具有国际声誉。培训计划将围绕8个新的或现有的核心课程、额外的新选修课、一个期刊俱乐部和研讨会展开。学生被要求具有计算机科学、数学或生物学的背景。培训将侧重于分子生物学、遗传学、计算机科学、统计学和概率学，但将根据个别学生的需求量身定做，并计划开展一个可选的工业实习计划。该奖项还得到了生物仪器和资源司的计算生物学活动和生物科学数据库活动的支持。***

9413215 Ewens This award provides support for an interdisciplinary training program in computational aspects of modern genetics. Topical areas include algorithm development, molecular evolution, sequence alignment, statistical inference, and other aspects of biological informatics. These areas are central to one of the most multidisciplinary approaches to modern biology. The faculty group includes 19 investigators from the departments of computer and information science in the school of engineering, the departments of mathematics and biology in the school of arts and sciences, and the departments of genetics and human genetics in the school of medicine. The group includes junior and senior investigators, several of international reputation. The training program will center around 8 new or existing core, additional new elective courses, a journal club and seminars. Students are expected to enter with backgrounds in computer science, mathematics or biology. Training will emphasize molecular biology, and genetics, computer science, statistics and probability, but will be tailored to the needs of individual students and an optional industrial internship program is planned. This award is also being supported by the Computational Biology Activity and by the Database Activity in the Biological Science, both in the Division of Biological Instrumentation and Resources. ***