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A model of pulldown alignments from SssI-treated DNA improves DNA methylation prediction.

Blythe S MorelandKenji M OmanRalf Bundschuh
Published in: BMC bioinformatics (2019)
In both internal and external MBD pulldown data sets tested in this study, BayMeth used with our modeled pulldown coverage performs better than BayMeth run without the inclusion of any estimate of SssI Control pulldown, and is comparable to - and in some cases better than - using observed SssI Control data with the BayMeth program. Thus, our MBD pulldown alignment model can improve methylation predictions without the need to perform additional control experiments.
Keyphrases
  • dna methylation
  • genome wide
  • big data
  • gene expression
  • healthcare
  • machine learning