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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539454/
https://www.ncbi.nlm.nih.gov/pubmed/33023650
http://dx.doi.org/10.1186/s13059-020-02161-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539454/
https://www.ncbi.nlm.nih.gov/pubmed/33023650
http://dx.doi.org/10.1186/s13059-020-02161-6

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