Accurate prediction of functional states of cis-regulatory modules reveals common epigenetic rules in humans and mice.

ABSTRACT:

Background

Predicting cis-regulatory modules (CRMs) in a genome and their functional states in various cell/tissue types of the organism are two related challenging computational tasks. Most current methods attempt to simultaneously achieve both using data of multiple epigenetic marks in a cell/tissue type. Though conceptually attractive, they suffer high false discovery rates and limited applications. To fill the gaps, we proposed a two-step strategy to first predict a map of CRMs in the genome, and then predict functional states of all the CRMs in various cell/tissue types of the organism. We have recently developed an algorithm for the first step that was able to more accurately and completely predict CRMs in a genome than existing methods by integrating numerous transcription f

SUBMITTER: Ni P 

PROVIDER: S-EPMC9535988 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature