New paper by Rieber and Mahony proposes new method to compare Hi-C data sets

A new paper by Lila Rieber, graduate student in the Molecular, Cellular, and Integrative Biosciences (MCIBS) program, and her advisor Shaun Mahony, assistant professor of biochemistry and molecular biology, has been published online in the journal Epigenetic & Chromatin. The paper, titled "Joint inference and alignment of genome structures enables characterization of compartment-independent reorganization across cell types,” proposes a new method to compare Hi-C data sets, which contain information about chromatin organization at the genome scale. The paper’s scientific abstract appears below:

"Comparisons of Hi–C data sets between cell types and conditions have revealed differences in topologically associated domains (TADs) and A/B compartmentalization, which are correlated with differences in gene regulation. However, previous comparisons have focused on known forms of 3D organization while potentially neglecting other functionally relevant differences. We aimed to create a method to quantify all locus-specific differences between two Hi–C data sets."