AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants

Abstract Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diversity in plants. Here, we describe AlphaBeta, a computational method for estimating the precise rate of such stochastic events using pedigree-based DNA methylation data as input. We demonstrat...

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Bibliographic Details

Main Authors:	Yadollah Shahryary, Aikaterini Symeonidi, Rashmi R. Hazarika, Johanna Denkena, Talha Mubeen, Brigitte Hofmeister, Thomas van Gurp, Maria Colomé-Tatché, Koen J.F. Verhoeven, Gerald Tuskan, Robert J. Schmitz, Frank Johannes
Format:	Artigo
Language:	Inglês
Published:	BMC 2020-10-01
Series:	Genome Biology
Subjects:	Epimutation DNA methylation Plants Trees Epigenetics Epimutation rate
Online Access:	http://link.springer.com/article/10.1186/s13059-020-02161-6
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