Charting differentially methylated regions in cancer with Rocker-meth
Matteo Benelli et al. present Rocker-meth, a new Hidden Markov Model (HMM)-based method, to robustly identify differentially methylated regions (DMRs). They use Rocker-meth to analyse more than 6000 methylation profiles across 14 cancer types, providing a catalog of tumor-specific and shared DMRs.
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-11-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-021-02761-3 |