Estimation of the methylation pattern distribution from deep sequencing data

@article{Lin2015EstimationOT,
  title={Estimation of the methylation pattern distribution from deep sequencing data},
  author={Peijie Lin and Sylvain For{\^e}t and Susan R. Wilson and Conrad J. Burden},
  journal={BMC Bioinformatics},
  year={2015},
  volume={16}
}
BackgroundBisulphite sequencing enables the detection of cytosine methylation. The sequence of the methylation states of cytosines on any given read forms a methylation pattern that carries substantially more information than merely studying the average methylation level at individual positions. In order to understand better the complexity of DNA methylation landscapes in biological samples, it is important to study the diversity of these methylation patterns. However, the accurate… 
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