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

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^* (Corresponding author), Frank Johannes (Corresponding author)

^*Corresponding author for this work

NIOO - Terrestrial Ecology (TE)

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Taraxacum officinale cultivar:A34, H72
Shahryary, Y. (Creator), Symeonidi, A. (Creator), Hazarika, R. R. (Creator), Denkena, J. (Creator), Mubeen, T. (Creator), Hofmeister, B. (Creator), Van Gurp, T. (Creator), Colomé-Tatché, M. (Creator), Verhoeven, K. (Creator), Tuskan, E. (Creator), Schmitz, R. J. (Creator) & Johannes, F. (Creator), NCBI, 24 Feb 2020
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA608438
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AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants

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Taraxacum officinale cultivar:A34, H72