November 2-3, 2017
Harvard Medical School Conference Center | Boston, MA
*3 abstracts will be selected to be presented as 10-minute platform talks.
The impetus for this year’s theme comes from the increasing amount of data that provides information on the nuclear organization of the human genome and its applications. A series of “chromatin confirmation capture” techniques have been developed in the past decade for identifying a three-dimensional interaction, which is critical for a full understanding of gene regulation. Until recently, we did not have data with sufficient resolution to infer such interactions accurately. However, with more refined technology and decreasing sequencing cost, it is now possible to generate high-resolution datasets, and the scientific community is on the verge of generating an immense amount of Hi-C and related types of data. Over the course of the conference, we will deal with the key aspects of analyzing and interpreting these large and complex datasets.
The conference will be centered on the following 3 topics:
SESSION 1: Emerging Technologies
SESSION 2: Applications to Basic Biology and Disease Mechanisms
SESSION 3: Computational Challenges
Wouter de Laat Hubrecht Institute
William Greenleaf Stanford University
Leonid Mirny Massachusetts Institute of Technology
Erez Lieberman Aiden Baylor College of Medicine
Nils Gehlenborg Harvard Medical School
Francesco Ferrari FIRC Institute of Molecular Oncology
Luca Giorgetti Friedrich Miescher Institute
Ana Pombo Max Delbrück Center for Molecular Medicine
Kikue Tachibana-Konwalski Austrian Academy of Sciences
Ting Wu Harvard Medical School
Feng Yue Pennsylvania State University
Xiaowei Zhuang Harvard University
The conference schedule includes time for scientific presentations and a poster session and reception for submitted abstracts. We highly encourage abstract submissions and participation of all researchers, especially junior researchers, for posters and possible platform presentations.