Zongli Xu1, Jack A Taylor1,2, Yuet-Kin Leung3, Shuk-Mei Ho3, Liang Niu3. 1. Epidemiology Branch. 2. Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA. 3. Department of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA.
Abstract
MOTIVATION: 5-Methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are important epigenetic regulators of gene expression. 5mC and 5hmC levels can be computationally inferred at single base resolution using sequencing or array data from paired DNA samples that have undergone bisulfite and oxidative bisulfite conversion. Current estimation methods have been shown to produce irregular estimates of 5hmC level or are extremely computation intensive. RESULTS: We developed an efficient method oxBS-MLE based on binomial modeling of paired bisulfite and oxidative bisulfite data from sequencing or array analysis. Evaluation in several datasets showed that it outperformed alternative methods in estimate accuracy and computation speed. AVAILABILITY AND IMPLEMENTATION: oxBS-MLE is implemented in Bioconductor package ENmix. CONTACT: niulg@ucmail.uc.eduSupplementary information: Supplementary data are available at Bioinformatics online. Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.
MOTIVATION:5-Methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are important epigenetic regulators of gene expression. 5mC and 5hmC levels can be computationally inferred at single base resolution using sequencing or array data from paired DNA samples that have undergone bisulfite and oxidative bisulfite conversion. Current estimation methods have been shown to produce irregular estimates of 5hmC level or are extremely computation intensive. RESULTS: We developed an efficient method oxBS-MLE based on binomial modeling of paired bisulfite and oxidative bisulfite data from sequencing or array analysis. Evaluation in several datasets showed that it outperformed alternative methods in estimate accuracy and computation speed. AVAILABILITY AND IMPLEMENTATION: oxBS-MLE is implemented in Bioconductor package ENmix. CONTACT: niulg@ucmail.uc.eduSupplementary information: Supplementary data are available at Bioinformatics online. Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.
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