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Dataset Information

Quantifying the similarity of topological domains across normal and cancer human cell types.


ABSTRACT:

Motivation

Three-dimensional chromosome structure has been increasingly shown to influence various levels of cellular and genomic functions. Through Hi-C data, which maps contact frequency on chromosomes, it has been found that structural elements termed topologically associating domains (TADs) are involved in many regulatory mechanisms. However, we have little understanding of the level of similarity or variability of chromosome structure across cell types and disease states. In this study, we present a method to quantify resemblance and identify structurally similar regions between any two sets of TADs.

Results

We present an analysis of 23 human Hi-C samples representing various tissue types in normal and cancer cell lines. We quantify global and chromosome-level structura

SUBMITTER: Sauerwald N 

PROVIDER: S-EPMC6022623 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature