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AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants
View ORCID ProfileYadollah Shahryary, Aikaterini Symeonidi, View ORCID ProfileRashmi R. Hazarika, Johanna Denkena, Talha Mubeen, Brigitte Hofmeister, Thomas van Gurp, Maria Colomé-Tatché, Koen Verhoeven, Gerald Tuskan, Robert J Schmitz, Frank Johannes
doi: https://doi.org/10.1101/862243
Yadollah Shahryary
1Technical University of Munich, Department of Plant Sciences, Germany
Aikaterini Symeonidi
1Technical University of Munich, Department of Plant Sciences, Germany
Rashmi R. Hazarika
1Technical University of Munich, Department of Plant Sciences, Germany
2Technical University of Munich, Institute for Advanced Study, Germany
Johanna Denkena
3Institute of Computational Biology, Helmholtz Zentrum München, Germany
Talha Mubeen
1Technical University of Munich, Department of Plant Sciences, Germany
2Technical University of Munich, Institute for Advanced Study, Germany
Brigitte Hofmeister
4Institute of Bioinformatics, Athens, USA
Thomas van Gurp
7Netherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology, The Netherlands
Maria Colomé-Tatché
3Institute of Computational Biology, Helmholtz Zentrum München, Germany
5European Research Institute for the Biology of Ageing, University of Groningen, University Medical Centre Groningen, The Netherlands
6TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany
Koen Verhoeven
7Netherlands Institute of Ecology (NIOO-KNAW), Department of Terrestrial Ecology, The Netherlands
Gerald Tuskan
8The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, USA
Robert J Schmitz
2Technical University of Munich, Institute for Advanced Study, Germany
9The University of Georgia, Department of Genetics, USA
Frank Johannes
1Technical University of Munich, Department of Plant Sciences, Germany
2Technical University of Munich, Institute for Advanced Study, Germany
Posted December 02, 2019.
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 Verhoeven, Gerald Tuskan, Robert J Schmitz, Frank Johannes
bioRxiv 862243; doi: https://doi.org/10.1101/862243
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 Verhoeven, Gerald Tuskan, Robert J Schmitz, Frank Johannes
bioRxiv 862243; doi: https://doi.org/10.1101/862243
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