Recursive Motif Analyses Identify Brain Epigenetic Transcription Regulatory Modules.

ABSTRACT: DNA methylation is an epigenetic modification modulating the structure of DNA molecule and the interactions with its binding proteins. Accumulating large-scale methylation data motivates the development of analytic tools to facilitate methylome data mining. One critical phenomenon associated with dynamic DNA methylation is the altered DNA binding affinity of transcription factors, which plays key roles in gene expression regulation. In this study, we conceived an algorithm to predict epigenetic regulatory modules through recursive motif analyses on differentially methylated loci. A two-step procedure was implemented to first group differentially methylated loci into clusters according to their correlations in methylation profiles and then to repeatedly identify the transcription factor bin

SUBMITTER: Banerjee S 

PROVIDER: S-EPMC6462766 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature