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；具有高吞吐量 技术和生物库数据集，对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。健康数据将很快被例行收集 从移动和可穿戴设备，极大地增加了它们的体积和实用性。这些数据是至关重要的 以促进对人类多样性和疾病的理解。精准健康与预测医学提升 赌注甚至更高。21世纪的所有基因组研究人员都必须掌握 这种规模的基因组研究所必需的定量和计算性大数据工具。 该计划的目标是提供新一代数学和统计理论以及 基因组学和大数据分析的计算方法。该计划是为(1)研究人员设计的 博士后和早期职业水平；(2)更高级的生物医学研究人员向更定量的过渡 基因组研究，目标是获得新的研究技能或更新现有知识；以及(3)更多 希望将他们的方法应用于一个新领域的资深计算科学家，并在 活跃在这些领域的研究人员。我们的计划对那些职业生涯重点是 计算方法的发展，但也将对那些想要添加基因组学的研究人员有用 方法在他们的研究计划中加入开发部分。 我们建议为Big创建一个为期一周的关于基因组学和下一代计算统计的研讨会 数据将保存在加州大学洛杉矶分校的校园里。这一周将包括一项 讲课、教程、实践教学实验和练习，以及基于项目的一对一课程 教职员工基因组科学家。学员将接受1)统计和数学方面的培训 基因组学理论；2)使用统计和计算方法和工具分析基因组的培训 数据；3)计算方法开发培训；4)接触尖端研究；5)机会 与来自多个国家的计划学院基因组专家进行咨询、协作和建立指导关系 机构和专业。为期一周的课程的所有材料都将被记录下来，并免费提供 任何感兴趣的研究人员都可以在线访问。 该计划的一个核心目标是帮助增加生物医学劳动力的多样性。我们将计划一个充满活力的 与我们建立良好的外联伙伴网络进行外联努力，以吸引不同的参与者。我们的非常 多元化计划学院将有助于我们的多元化拓展和有效的指导工作。此外，我们计划 提供一系列多样性奖学金，以吸引在科学界代表性不足的群体的参与者。我们 还将提供多样化奖学金，接待来自少数族裔服务机构的教师，建立合作伙伴关系，并 帮助他们将我们的教程和教育工具应用于他们所在的机构。

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.