Model-based analysis for DNA hydroxymethylation

Wednesday, September 24, 2014 — Poster Session IV
10:00 a.m. –12:00 p.m.	FAES Academic Center	NIAID	COMPBIO-15

Authors

• K. Shen
• D. Hurt

Abstract

DNA hydroxymethylation has gained great attention in recent years and may play a critical role in gene expression regulation and DNA demethylation. The recent development of next generation sequencing technology has enabled the measure of whole genome hydroxymethylation at single-base resolution. However, it is challenging to identify differentially hydroxymethylated sites and regions, especially when the number of biological replicates is small. In this study, an analysis pipeline for DNA hydroxymethylation was developed. The pipeline included a caller to detect the hydroxymethylation level at each site. In addition, an empirical Bayesian method was proposed to identify differentially hydroxymethylated sites and regions.

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