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Dataset Information

Non-coding variants impact cis-regulatory coordination in a cell type-specific manner.


ABSTRACT:

Background

Interactions among cis-regulatory elements (CREs) play a crucial role in gene regulation. Various approaches have been developed to map these interactions genome-wide, including those relying on interindividual epigenomic variation to identify groups of covariable regulatory elements, referred to as chromatin modules (CMs). While CM mapping allows to investigate the relationship between chromatin modularity and gene expression, the computational principles used for CM identification vary in their application and outcomes.

Results

We comprehensively evaluate and streamline existing CM mapping tools and present guidelines for optimal utilization of epigenome data from a diverse population of individuals to assess regulatory coordination across the human genome. We s

SUBMITTER: Pushkarev O 

PROVIDER: S-EPMC11256678 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature