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

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: 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
Titel:: AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants
Stichworte:: Software ; Epimutation ; DNA methylation ; Plants ; Trees ; Epigenetics ; Epimutation rate ; Evolution ; Molecular clock ; Epigenetic clock ; Bioinformatics software tool ; R/Bioconductor package
Zeitschriftentitel:: Genome Biology
Jahr:: 2020
Band / Volume:: 21
Heft / Issue:: 1
Volltext / DOI:: doi:10.1186/s13059-020-02161-6
Verlag / Institution:: BioMed Central
E-ISSN:: 1474-760X
Publikationsdatum:: 06.10.2020
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