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

      1 , 2
      Bioinformatics (Oxford, England)
      Oxford University Press (OUP)

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          Abstract

          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.

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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics (Oxford, England)
          Oxford University Press (OUP)
          1367-4811
          1367-4803
          May 15 2016
          : 32
          : 10
          Affiliations
          [1 ] Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA and.
          [2 ] Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA.
          Article
          btw026
          10.1093/bioinformatics/btw026
          26819470
          52aef02d-e5d7-4bc2-9911-0dcb2d01a129
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