Computational analysis of DNA methylation from long-read sequencing
- PMID: 40155770
- DOI: 10.1038/s41576-025-00822-5
Computational analysis of DNA methylation from long-read sequencing
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.
© 2025. Springer Nature Limited.
Conflict of interest statement
Competing interests: F.J.S. receives research support from Illumina, Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT). W.T. has two patents (8,748,091 and 8,394,584) licensed to ONT. Y.F. declares no competing interests.
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