DOI: 10.1101/493676Dec 12, 2018Paper

Bayesian inference of chromatin structure ensembles from population Hi-C data

BioRxiv : the Preprint Server for Biology
Simeon CarstensMichael Habeck

Abstract

High-throughput chromosome conformation capture (Hi-C) experiments are typically performed on a large population of cells and therefore only yield average numbers of genomic contacts. Nevertheless population Hi-C data are often interpreted in terms of a single genomic structure, which ignores all cell-to-cell variability. We propose a probabilistic, statistically rigorous method to infer chromatin structure ensembles from population Hi-C data that takes the ensemble nature of the data explicitly into account and allows us to infer the number of structures required to explain the data.

Related Concepts

Genome
Structure
Research Study
High Throughput Screening
His-His-His-His-His-His
Genomic Stability
Population Group
SPT6 Protein

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