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Volume 45 Issue 8
Aug.  2018
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Article Contents

Efficient and fast identification of differentially methylated regions using whole-genome bisulfite sequencing data

doi: 10.1016/j.jgg.2018.07.008
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  • Corresponding author: E-mail address: hdinhdp@gmail.com (Dinh Diep)
  • Received Date: 2017-12-01
  • Accepted Date: 2018-07-31
  • Rev Recd Date: 2018-07-05
  • Available Online: 2018-08-09
  • Publish Date: 2018-08-20
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    Burger, L., Gaidatzis, D., Schübeler, D. et al. Identification of active regulatory regions from DNA methylation data Nucleic Acids Res., 41 (2013),p. e155
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    [3]
    Hansen, K.D., Langmead, B., Irizarry, R.A. BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions Genome Biol., 13 (2012),p. R83
    [4]
    Hon, G.C., Rajagopal, N., Shen, Y. et al. Epigenetic memory at embryonic enhancers identified in DNA methylation maps from adult mouse tissues Nat. Genet., 45 (2013),pp. 1198-1206
    [5]
    Jaffe, A.E., Murakami, P., Lee, H. et al. Bump hunting to identify differentially methylated regions in epigenetic epidemiology studies Int. J. Epidemiol., 41 (2012),pp. 200-209
    [6]
    Libertini, E., Heath, S.C., Hamoudi, R.A. et al. Information recovery from low coverage whole-genome bisulfite sequencing Nat. Commun., 7 (2016),p. 11306
    [7]
    Schultz, M.D., He, Y., Whitaker, J.W. et al. Human body epigenome maps reveal noncanonical DNA methylation variation Nature, 523 (2015),pp. 212-216
    [8]
    Tarone, R.E. Testing the goodness of fit of the binomial distribution Biometrika, 66 (1979),pp. 585-590
    [9]
    Ziller, M.J., Gu, H., Müller, F. et al. Charting a dynamic DNA methylation landscape of the human genome Nature, 500 (2013),pp. 477-481
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