2017 Graybill Conference on Statistical Genomics and Genetics

2017年格雷比尔统计基因组学和遗传学会议

• 批准号: 1730090
• 负责人: Wen Zhou
• 金额: $ 1.5万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730090&HistoricalAwards=false
• 关键词: 2017; Graybill; Conference; Statistical; Genomics

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/

该奖项支持参加2017年格雷比尔统计基因组学和遗传学会议，该会议于2017年6月5日至7日在科罗拉多州柯林斯堡科罗拉多州立大学校园举行。本次会议由美国统计协会基因组学和遗传学统计分会共同主办。该计划包括邀请演讲，贡献海报会议和学生海报比赛。会议的目标是为生物科学领域的定量科学家和实践者提供一个机会，以产生和分享统计和基因组学或遗传学方面新的创造性研究的想法；就基因组学和遗传学问题的前沿统计方法交流知识；激发专业人脉机会；并为年轻研究人员的工作提供机会。过去十年见证了高通量技术的快速发展以及大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的新挑战，迫使生物和医学科学的研究发生了翻天覆地的变化，特别是基因组学和遗传学。为了迎接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脱颖而出，成为现代生物和医学研究中不可或缺的工具，也为过去几年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非常迅速，并应用于这两个领域越来越多的主题。他们现在现代生物学和医学研究的重要部分,在统计也产生重要的研究主题。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，请参阅会议网站http://graybill.wolpe2.natsci.colostate.edu/