Language
English
Publication Date
9-1-2025
Journal
Nature Reviews Genetics
DOI
10.1038/s41576-025-00822-5
PMID
40155770
PMCID
PMC12882999
PubMedCentral® Posted Date
2-9-2026
PubMedCentral® Full Text Version
Author MSS
Abstract
DNA methylation is a critical epigenetic mechanism in numerous biological processes, including gene regulation, development, ageing and the onset of various diseases such as cancer. Studies of methylation are increasingly using single-molecule long-read sequencing technologies to simultaneously measure epigenetic states such as DNA methylation with genomic variation. These long-read data sets have spurred the continuous development of advanced computational methods to gain insights into the roles of methylation in regulating chromatin structure and gene regulation. In this Review, we discuss the computational methods for calling methylation signals, contrasting methylation between samples, analysing cell-type diversity and gaining additional genomic insights, and then further discuss the challenges and future perspectives of tool development for DNA methylation research.
Keywords
DNA Methylation, Humans, Epigenesis, Genetic, Computational Biology, Sequence Analysis, DNA, High-Throughput Nucleotide Sequencing, Animals, Chromatin, Epigenomics
Published Open-Access
yes
Recommended Citation
Yilei Fu, Winston Timp, and Fritz J Sedlazeck, "Computational Analysis of DNA Methylation From Long-Read Sequencing" (2025). Faculty, Staff and Students Publications. 7164.
https://digitalcommons.library.tmc.edu/baylor_docs/7164