4.4 Article

Optimized design and data analysis of tag-based cytosine methylation assays

Journal

GENOME BIOLOGY
Volume 11, Issue 4, Pages -

Publisher

BMC
DOI: 10.1186/gb-2010-11-4-r36

Keywords

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Funding

  1. National Institute of Health (NIH) [R01 HG004401]
  2. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG004401] Funding Source: NIH RePORTER

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Using the type III restriction-modification enzyme EcoP15I, we isolated sequences flanking sites digested by the methylation-sensitive HpaII enzyme or its methylation-insensitive MspI isoschizomer for massively parallel sequencing. A novel data transformation allows us to normalise HpaII by MspI counts, resulting in more accurate quantification of methylation at >1.8 million loci in the human genome. This HELP-tagging assay is not sensitive to sequence polymorphism or base composition and allows exploration of both CG-rich and depleted genomic contexts.

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