Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data.

C Anthony ScottJack D DuryeaHarry MacKayMaria S BakerEleonora LaritskyChathura J GunasekaraCristian CoarfaRobert A Waterland

Published in: Genome biology (2020)

Our data indicate that, rather than stochastic variation, read-level CpG methylation patterns in tissue whole genome bisulfite sequencing libraries reflect cell type. Accordingly, these new computational tools should lead to an improved understanding of epigenetic regulation by DNA methylation.

Keyphrases

dna methylation
genome wide
electronic health record
single cell
gene expression
big data
copy number
single molecule
machine learning
artificial intelligence
bioinformatics analysis