Differential methylation analysis for BS-seq data under general experimental design.

ABSTRACT:

Motivation

DNA methylation is an epigenetic modification with important roles in many biological processes and diseases. Bisulfite sequencing (BS-seq) has emerged recently as the technology of choice to profile DNA methylation because of its accuracy, genome coverage and higher resolution. Current statistical methods to identify differential methylation mainly focus on comparing two treatment groups. With an increasing number of experiments performed under a general and multiple-factor design, particularly in reduced representation bisulfite sequencing, there is a need to develop more flexible, powerful and computationally efficient methods.

Results

We present a novel statistical model to detect differentially methylated loci from BS-seq data under general experimental desig

SUBMITTER: Park Y 

PROVIDER: S-EPMC12157722 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature