2017 Graybill Conference on Statistical Genomics and Genetics

该奖项支持参加2017年6月5日至7日在科罗拉多州柯林斯堡的科罗拉多州立大学校园举行的统计基因组学和遗传学格雷比尔会议。该会议由美国统计协会基因组学和遗传学统计部门共同主办。该计划包括邀请会谈，贡献海报会议，和学生海报比赛。会议的目标是为生物科学的定量科学家和从业人员提供一个机会，为统计和基因组学或遗传学方面的新的创造性研究提出和交流想法;交流关于基因组学和遗传学引起的问题的前沿统计方法的知识;促进专业联网机会;在过去的十年里，我们见证了高通量技术的快速发展，以及海量数据集的生成和存储。在分析、建模和解释这些海量数据方面出现了大量新的挑战，迫使生物和医学科学的研究发生变革，特别是基因组学和遗传学。为了应对这些挑战并提供可靠的方法，统计基因组学和遗传学从传统统计学中产生，并已成为生物和医学科学现代研究不可或缺的工具，也为过去几年中许多重要的生物和医学发现铺平了道路。另一方面，基因组学和遗传学中出现的新问题也激发了许多新的统计概念，模型和方法。统计基因组学和遗传学的发展速度非常快，并适用于这两个领域越来越多的主题。它们现在是现代生物学和医学研究的重要组成部分，也在统计学中产生重要的研究课题。暴露和理解激励问题，新开发的模型和方法以及工作协议对于定量科学（包括生物信息学，计算机科学和统计学）的研究人员非常有用。 欲了解更多信息，请访问会议网站http://graybill.wolpe2.natsci.colostate.edu/

This award supports participation in the 2017 Graybill Conference on Statistical Genomics and Genetics, held June 5-7, 2017 on the campus of Colorado State University, Fort Collins, Colorado. The conference is co-sponsored by the American Statistical Association Section on Statistics in Genomics and Genetics. The program consists of invited talks, a contributed poster session, and a student poster competition. The goal of the conference is to provide an opportunity for quantitative scientists and practitioners in the biological sciences to generate and share ideas for new creative research in statistics and genomics or genetics; to exchange knowledge on frontier statistical methodologies for problems rising from genomics and genetics; to stimulate professional networking opportunities; and to provide young researchers with exposure for their work.The last decade has witnessed the rapid advancement of high-throughput technologies and the generation and storage of massive data sets. A huge number of new challenges in analyzing, modeling, and interpreting these massive data have arisen, forcing transformative change on research in biological and medical sciences in general, and genomics and genetics in particular. To meet those challenges and provide reliable approaches, statistical genomics and genetics have emerged from traditional statistics and have become indispensable tools for modern research in the biological and medical sciences, also paving the road to many important biological and medical discoveries in the last few years. On the other hand, novel problems arising in genomics and genetics have also motivated many new statistical concepts, models, and methodologies. Statistical genomics and genetics have been growing remarkably fast and apply to an increasing number of topics in both fields. They are now essential parts of modern biological and medical research and also generate important research topics within statistics. Exposure and understanding of the motivating problems, newly-developed models and methods, and working protocols are extremely useful for researchers in the quantitative sciences, including bioinformatics, computer science, and statistics. For more information, see the conference website at http://graybill.wolpe2.natsci.colostate.edu/