Quantitative Analysis of Higher Order Chromatin Interactions

高阶染色质相互作用的定量分析

• 批准号: 1748175
• 负责人: Xihong Lin
• 金额: $ 3万
• 依托单位: Harvard 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: 2017-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748175&HistoricalAwards=false
• 关键词: Quantitative; Analysis; Higher; Order; Chromatin

The Program in Quantitative Genomics (PQG) at Harvard T.H. Chan School of Public Health will host the 2017 conference, "Quantitative Analysis of Higher Order Chromatin Interactions", November 2-3, 2017 at the Joseph B. Martin Conference Center at Harvard Medical School in Boston, MA. This is the eleventh in a very successful conference series on emerging statistical and computational issues in genetics and genomics. The impetus for this year's theme comes from the increasing amount of data that provide information on the nuclear organization of the human genome and its applications. A series of "chromatin confirmation capture" techniques, such as Hi-C, have been developed for identifying three-dimensional interactions between all pairs of genomic loci at once. Profiling such three-dimensional interactions is critical for a full understanding of gene regulation. With increasingly refined technology and decreasing sequencing costs, it is now possible to generate high-resolution datasets with close to a billion sequencing reads, on the same order as human whole-genome sequencing. The scientific community is on the verge of generating massive amounts of Hi-C and related types of data. The conference will deal with key aspects in analyzing and interpreting these large and complex datasets. The conference is open to the whole research community and particularly encourages participation of junior faculty and researchers, postdoctoral fellows, students, and women and minorities. The participants will discuss and critique existing quantitative methods, discuss in-depth emerging statistical and quantitative issues, and identify priorities for future research in the analysis of higher order chromatin interaction data. The research presented will be broadly disseminated in publications in scientific journals and websites. The conference will focus on the following three topics of critical importance in quantitative analysis of higher order chromatin interaction data: (1) emerging technologies; (2) computational challenges in high order chromatin data; and (3) applications to basic biology and disease mechanisms. A key feature of the conference is to provide a timely and interactive platform for cross-disciplinary senior and junior investigators, including statistical geneticists, computational biologists, and biologists, to discuss these analytic challenges. For more information, visit https://www.hsph.harvard.edu/2017-pqg-conference/.

哈佛T.H.的定量基因组学项目。公共卫生的陈学校将主办2017年会议，“高阶染色质相互作用的定量分析”，2017年11月2日至3日在约瑟夫B。马萨诸塞州波士顿哈佛医学院马丁会议中心。这是一个非常成功的系列会议中的第十一届会议，主题是遗传学和基因组学中新兴的统计和计算问题。今年主题的推动力来自于越来越多的数据，这些数据提供了关于人类基因组核组织及其应用的信息。已经开发了一系列“染色质确认捕获”技术，例如Hi-C，用于一次性鉴定所有基因组位点对之间的三维相互作用。分析这种三维相互作用对于全面了解基因调控至关重要。 随着技术的不断完善和测序成本的不断降低，现在可以生成具有近10亿个测序读数的高分辨率数据集，与人类全基因组测序的顺序相同。 科学界即将产生大量的Hi-C和相关类型的数据。会议将讨论分析和解释这些大型复杂数据集的关键方面。会议对整个研究界开放，特别鼓励初级教师和研究人员，博士后研究员，学生，妇女和少数民族的参与。与会者将讨论和批评现有的定量方法，深入讨论新出现的统计和定量问题，并确定在高阶染色质相互作用数据分析的未来研究的优先事项。所介绍的研究成果将在科学期刊和网站的出版物中广泛传播。 会议将重点讨论以下三个在高阶染色质相互作用数据定量分析中至关重要的主题：（1）新兴技术;（2）高阶染色质数据的计算挑战;（3）基础生物学和疾病机制的应用。 会议的一个主要特点是为跨学科的高级和初级研究人员，包括统计遗传学家，计算生物学家和生物学家，提供一个及时和互动的平台，以讨论这些分析挑战。有关详细信息，请访问https://www.hsph.harvard.edu/2017-pqg-conference/。