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

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: Article
Language:English
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

Internet

http://link.springer.com/article/10.1186/s13059-020-02161-6

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