Quantitative Analysis of Higher Order Chromatin Interactions

哈佛大学陈曾熙公共卫生学院的定量基因组学项目（PQG）将于2017年11月2日至3日在马萨诸塞州波士顿的哈佛医学院Joseph B. Martin会议中心举办2017年会议，主题为“高顺序染色质相互作用的定量分析”。这是一个非常成功的关于遗传学和基因组学中新兴统计和计算问题的系列会议的第11次会议。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的核组织及其应用的信息。诸如Hi-C之类的一系列“染色质确认捕获”技术已经被开发出来，用于同时识别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充分理解基因调控至关重要。随着技术的日益完善和测序成本的降低，现在有可能产生具有接近10亿测序读数的高分辨率数据集，与人类全基因组测序相同。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庞大而复杂的数据集的关键方面。会议向整个研究界开放，特别鼓励青年教师和研究人员、博士后、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，深入讨论新兴的统计和定量问题，并确定未来研究的重点，分析高阶染色质相互作用数据。所提出的研究将在科学期刊和网站的出版物中广泛传播。会议将集中讨论以下三个对高阶染色质相互作用数据的定量分析至关重要的主题：(1)新兴技术；(2)高阶染色质数据的计算挑战；(3)在基础生物学和疾病机制方面的应用。会议的一个关键特点是为跨学科的高级和初级研究人员提供一个及时和互动的平台，包括统计遗传学家，计算生物学家和生物学家，讨论这些分析挑战。欲了解更多信息，请访问https://www.hsph.harvard.edu/2017-pqg-conference/。

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/.