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.
Saved in:
Main Authors: | , , , , , , , |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/2d3834fd736a4fd896630a6f3d833ab9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|