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Inferring CpG methylation signatures accumulated along human history from genetic variation catalogs

2023-03-25

Abstract excerpt

Understanding the DNA methylation patterns in the human genome is a key step to decipher gene regulatory mechanisms and model mutation rate heterogeneity in the human genome. While methylation rates can be measured e.g. with bisulfite sequencing, such measures do not capture historical patterns. Here we present a new method, Methylation Hidden Markov Model (MHMM), to estimate the accumulated germline methylation s...

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Identifiers and source

Literature Corpus work
ea4716d2-862d-5a1d-b0b2-2b07a81b250b
DOI
10.1101/2023.03.24.534151
Open publication

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Inferring CpG methylation signatures accumulated along human history from genetic variation catalogsDOI 10.1101/2023.03.24.534151
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