Data-Driven Polymer Model for Mechanistic Exploration of Diploid Genome Organization.

ABSTRACT: Chromosomes are positioned nonrandomly inside the nucleus to coordinate with their transcriptional activity. The molecular mechanisms that dictate the global genome organization and the nuclear localization of individual chromosomes are not fully understood. We introduce a polymer model to study the organization of the diploid human genome. It is data-driven because all parameters can be derived from Hi-C data; it is also a mechanistic model because the energy function is explicitly written out based on a few biologically motivated hypotheses. These two features distinguish the model from existing approaches and make it useful both for reconstructing genome structures and for exploring the principles of genome organization. We carried out extensive validations to show that simulated genome

SUBMITTER: Qi Y 

PROVIDER: S-EPMC7677132 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature