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      oxBS-MLE: an efficient method to estimate 5-methylcytosine and 5-hydroxymethylcytosine in paired bisulfite and oxidative bisulfite treated DNA

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          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@ 123456ucmail.uc.edu

          Supplementary information: Supplementary data are available at Bioinformatics online.

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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics
          bioinformatics
          bioinfo
          Bioinformatics
          Oxford University Press
          1367-4803
          1367-4811
          01 December 2016
          13 August 2016
          : 32
          : 23
          : 3667-3669
          Affiliations
          1Epidemiology Branch
          2Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA
          3Department of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
          Author notes

          *To whom correspondence should be addressed

          Associate Editor: Inanc Birol

          Article
          PMC5181539 PMC5181539 5181539 btw527
          10.1093/bioinformatics/btw527
          5181539
          27522082
          024b4d48-ae80-4404-ba5e-2132778a2a71
          Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.
          History
          : 27 June 2016
          : 4 August 2016
          : 8 August 2016
          Page count
          Pages: 3
          Categories
          Applications Notes
          Genome Analysis

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