Charting differentially methylated regions in cancer with Rocker-meth

Matteo Benelli; Gian Marco Franceschini; Alberto Magi; Dario Romagnoli; Chiara Biagioni; Ilenia Migliaccio; Luca Malorni; Francesca Demichelis

doi:10.1038/s42003-021-02761-3

Communications Biology (Nov 2021)

Charting differentially methylated regions in cancer with Rocker-meth

Matteo Benelli,
Gian Marco Franceschini,
Alberto Magi,
Dario Romagnoli,
Chiara Biagioni,
Ilenia Migliaccio,
Luca Malorni,
Francesca Demichelis

Affiliations

Matteo Benelli: Bioinformatics Unit, Hospital of Prato
Gian Marco Franceschini: Department of Cellular, Computational and Integrative Biology, University of Trento
Alberto Magi: Department of Information Engineering, University of Florence
Dario Romagnoli: Bioinformatics Unit, Hospital of Prato
Chiara Biagioni: Bioinformatics Unit, Hospital of Prato
Ilenia Migliaccio: “Sandro Pitigliani” Translational Research Unit, Hospital of Prato
Luca Malorni: “Sandro Pitigliani” Medical Oncology Department, Hospital of Prato
Francesca Demichelis: Department of Cellular, Computational and Integrative Biology, University of Trento

DOI: https://doi.org/10.1038/s42003-021-02761-3
Journal volume & issue: Vol. 4, no. 1
pp. 1 – 15

Abstract

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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.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

About the journal