Reference panel-guided super-resolution inference of Hi-C data.

ABSTRACT:

Motivation

Accurately assessing contacts between DNA fragments inside the nucleus with Hi-C experiment is crucial for understanding the role of 3D genome organization in gene regulation. This challenging task is due in part to the high sequencing depth of Hi-C libraries required to support high-resolution analyses. Most existing Hi-C data are collected with limited sequencing coverage, leading to poor chromatin interaction frequency estimation. Current computational approaches to enhance Hi-C signals focus on the analysis of individual Hi-C datasets of interest, without taking advantage of the facts that (i) several hundred Hi-C contact maps are publicly available and (ii) the vast majority of local spatial organizations are conserved across multiple cell types.

Results

Here

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10311349 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature