Predicting chromatin conformation contact maps.

ABSTRACT: Over the past 15 years, a variety of next-generation sequencing assays have been developed for measuring the 3D conformation of DNA in the nucleus. Each of these assays gives, for a particular cell or tissue type, a distinct picture of 3D chromatin architecture. Accordingly, making sense of the relationship between genome structure and function requires teasing apart two closely related questions: how does chromatin 3D structure change from one cell type to the next, and how do different measurements of that structure differ from one another, even when the two assays are carried out in the same cell type? In this work, we assemble a collection of chromatin 3D datasets-each represented as a 2D contact map-spanning multiple assay types and cell types. We then build a machine learning model t

SUBMITTER: Min A 

PROVIDER: S-EPMC12478923 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature