Training Grant in Genomic Analysis and Interpretation

项目摘要/摘要 人类基因组计划及其分支极大地增加了可用的遗传数据量。 献给研究人员。将快速发展的基因组技术和其他技术产生的大量数据 将生物医学数据源转化为可操作的知识是21世纪最大的科学挑战之一 世纪之交。尽管最近在计算硬件方面取得了许多进展，但我们仍然缺乏足够的理论和 快速和精确地执行许多基本的基因组分析任务的算法。它将需要一个新的 经过生物、数学和计算科学培训的一代科学家推动我们的 国家的基因组议程。我们的目标是培养学生在这种现代化的数据中茁壮成长所需的技能- 推动生物医学研究的时代。具备这些技能的学生将提高生物医学知识和影响力 公共卫生的方式，我们只能模糊地预见。 很少有大学有研究基础设施和人力资源来开展基因组培训计划 加州大学洛杉矶分校的可能范围。尖端基因组技术、世界级计算 资源，优秀的基础和临床研究人员，以及高度评价的教育机构使我们能够 吸引和培养最高素质的学生。我们建议的基因组分析培训的更新 该计划每年将支持来自不同学科的8名博士前实习生。为了使数量最大化 对于基因组分析和解释方面的受训人员，我们通常将他们每人的支持时间限制为两年。 已完成培训的学生将被鼓励继续参加培训活动 在加州大学洛杉矶分校的整个过程中。该计划的课程课程提供了严谨和全面的 生物、计算和统计科学基金会。核心课程包括以下课程 分子生物学、人类遗传学、概率论、统计学、生物信息学和生物医学伦理学。帮助 学生在当今快速发展的跨学科科学时代建立起成功的研究生涯， 该计划还强调关键沟通、协作和职业方面的培训和资源 开发技能。学生被要求在我们的年度研究静修会上展示他们的研究，并被 强烈鼓励在其他研究会议上发言。我们多元化的培训人员来自多个 加州大学洛杉矶分校的部门和学科；在研究和指导学生方面都有令人信服的记录。 在前一个供资期间，我们根据方案评估、来自 我们的学员，以及科学知识和教育理论的进步。在这次更新中，我们进行了 全面评估方案和修订方案，提高培训的整体质量 经验。我们相信这将使我们继续培养出优秀的实习生，他们将取得实质性的 对生物医学研究和国家未来几十年的健康目标的影响。

Project Summary/Abstract The human genome project and its offshoots have dramatically increased the amount of genetic data available to researchers. Turning the flood of data generated by rapidly evolving genomic technologies and other biomedical data sources into actionable knowledge is one of the greatest scientific challenges of the 21st Century. In spite of many recent advances in computational hardware, we still lack adequate theory and algorithms to perform many fundamental genomic analysis tasks with speed and precision. It will take a new generation of scientists trained in the biological, mathematical, and computational sciences to push forward our nation's genomic agenda. Our objective is to train students with the skills needed to thrive in this modern, data- driven era of biomedical research. Students with these skills will advance biomedical knowledge and impact public health in ways that we can only dimly foresee. Few universities have the research infrastructure and human resources to mount a genomic training program of the scope possible at UCLA. The convergence of cutting edge genomic technologies, world-class computing resources, an excellent basic and clinical research faculty, and a highly rated educational institution allows us to attract and train students of the highest caliber. Our proposed renewal of the Genomic Analysis Training Program will support eight predoctoral trainees per year from a variety of disciplines. To maximize the number of trainees in genomic analysis and interpretation, we ordinarily limit them to two years of support each. Students who have completed the program will be encouraged to continue to join the training activities throughout their time at UCLA. The program course curriculum provides a rigorous and comprehensive foundation in the biological, computational and statistical sciences. The core curriculum includes courses in molecular biology, human genetics, probability, statistics, bioinformatics, and biomedical ethics. To help students build successful research careers in the current era of rapidly evolving, interdisciplinary science, the program also emphasizes training and resources in critical communication, collaboration, and career development skills. Students are required to present their research at our yearly research retreat, and are strongly encouraged to present at other research conferences. Our diverse training faculty come from multiple UCLA departments and disciplines; all have compelling records in both research, and mentoring students. During the previous funding period we made adjustments based on programmatic assessments, feedback from our trainees, and advances in scientific knowledge and education theory. In this renewal we have undertaken a comprehensive evaluation of the program and revised the program to improve the overall quality of the training experience. We believe this will allow us to continue to produce excellent trainees who will make a substantial impact on biomedical research and the nation's health goals for decades to come.