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

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 demonstrate how Alp...

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Foilsithe in:Genome Biol
Main Authors: Shahryary, Yadollah, Symeonidi, Aikaterini, Hazarika, Rashmi R., Denkena, Johanna, Mubeen, Talha, Hofmeister, Brigitte, van Gurp, Thomas, Colomé-Tatché, Maria, Verhoeven, Koen J.F., Tuskan, Gerald, Schmitz, Robert J., Johannes, Frank
Formáid: Artigo
Teanga:Inglês
Foilsithe: BioMed Central 2020
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Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7539454/
https://ncbi.nlm.nih.gov/pubmed/33023650
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02161-6
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