Workshops on Genomics and Next Generation Computational Statistics for Big Data

摘要 基因组科学未来的挑战是巨大的。数据集持续增长;高吞吐量 技术和生物库数据集，105个病例和107个标记的研究将很快变得司空见惯。 电子健康记录（EHR）数据集也在迅速扩大。健康数据将很快被定期收集 从移动的和可穿戴设备，大大增加了它们的体积和实用性。这些数据至关重要 促进对人类多样性和疾病的理解。精准健康和预测医学提高 风险更大21世纪的所有基因组研究人员必须掌握 定量和计算的大数据工具，这是这种规模的基因组研究所必需的。 该计划的目标是提供下一代数学和统计理论的培训， 基因组学和大数据分析的计算方法。该计划是专为（1）研究人员在 博士后和早期职业水平;（2）更多的高级生物医学研究人员过渡到更定量的 基因组研究，目的是获得新的研究技能或更新现有的知识;（3）更多 希望将他们的方法应用于新领域的高级计算科学家， 研究人员活跃在这些领域。我们的计划是有用的那些实习研究员，其职业重点是 计算方法的发展，但也将是有用的那些研究人员谁想要添加一个基因组学 方法开发的组成部分，他们的研究计划。 我们建议为大公司创建一个为期一周的基因组学和下一代计算统计学研讨会。 数据将在洛杉矶的加州大学校园内保存。本周将包括一个项目， 讲座、教程、实践教学实验室和练习，以及基于项目的一对一课程， 基因组科学家。参加者将获得1）统计和数学方面的培训 基因组学理论; 2）培训使用统计和计算方法和工具来分析基因组 数据; 3）计算方法开发培训; 4）接触前沿研究; 5）机会 咨询，合作，并与来自多个项目的基因组专家建立指导关系 机构和专业。为期一周的课程的所有材料将被记录并免费提供 在线访问任何感兴趣的研究人员。 该计划的核心目标是帮助增加生物医学劳动力的多样性。我们将策划一场轰轰烈烈的 与我们建立良好的外联合作伙伴网络开展外联工作，以吸引不同的参与者。我们非常 多元化计划教师将在我们的多元化推广和有效的指导工作援助。此外，我们计划 提供一系列多样性奖学金，以吸引来自科学领域代表性不足的群体的参与者。我们 还将提供多样性奖学金，以接待来自少数民族服务机构的教师，建立伙伴关系， 帮助他们把我们的教程和教育工具，在他们的家庭机构使用。

ABSTRACT The future challenges of genomic science are enormous. Data sets continue to grow; with high-throughput technologies, and Biobank datasets, studies with105 cases and107 markers will soon be commonplace. Electronic health record (EHR) datasets are also rapidly expanding. Health data will soon be routinely collected from mobile and wearable devices, dramatically increasing their volume and utility. This data is critically important for advancing the understanding of human diversity and disease. Precision health and predictive medicine raise the stakes even further. It is imperative that all genomic researchers in the 21st century have a command of the quantitative and computational Big Data tools necessary for genomic research at this scale. The goal of this program is to provide training in next generation mathematical and statistical theory and computational methods for genomics and Big Data analysis. The program is designed for (1) researchers at the postdoctoral and early career level; (2) more senior biomedical researchers transitioning to more quantitative genomic research, with the goal of acquiring new research skills or updating existing knowledge; and (3) more senior computational scientists who wish to apply their methods in a new domain, and gain contacts among researchers active in those fields. Our program is useful for those trainee researchers whose career focus is computational methods development, but will also be useful for those researchers who want to add a genomics methods development component to their research program. We propose to create a one-week workshop on genomics and next generation computational statistics for Big Data to be held on the campus of the University of California, Los Angeles. The week will include a program of lectures, tutorials, hands-on teaching labs and exercises, and project-based one-on-one sessions with Program Faculty genomic scientists. The participants will be provided with 1) training in statistical and mathematical genomics theory; 2) training in the use of statistical and computational methods and tools to analyze genomic data; 3) training in computational methods development; 4) exposure to cutting edge research; 5) opportunities to consult, collaborate, and build mentoring relationships with Program Faculty genomic experts from multiple institutions and specialties. All materials from the one-week course will be recorded and made freely available online for access to any interested researcher. A central goal of the program is to help increase diversity in the biomedical workforce. We will plan a vigorous outreach effort with our well-established network of outreach partners to attract diverse participants. Our very diverse Program Faculty will aid in our diversity outreach and effective mentoring efforts. In addition, we plan to offer a series of Diversity Scholarships to attract participants from groups under-represented in the sciences. We will also offer diversity scholarships to host faculty from minority-serving institutions, to form partnerships and to assist them in putting our tutorials and educational tools to use in their home institutions.