Publication date
August 2020
DOIAbstract
AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants. https://bioconductor.org/packages/release/bioc/html/AlphaBeta.htm
AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants. https://bioconductor.org/packages/release/bioc/html/AlphaBeta.htm
Code and data used in paper "A Novel Computational Method for Detecting DNA Methylation Sites with S...
Summary: DNA methylation is an important mechanism regulating gene transcription, and its role in ca...
The following example illustrates a standard use case of the BEAT package, which is used for process...
Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diver...
Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diver...
Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diver...
The zipped file of this repository contains code and data to reproduce the results of the publicatio...
Summary: Here we present the open source R/Bioconductor software package BEAT (BS-Seq Epimutation An...
The R code demonstrates the workflow to analyze DNA methylation of msh1-derived epi lines (msh1 stat...
<p>The number of samples for the identification of DNA methylation patterns and differentially methy...
Title Methods for visualization and statistics on DNA methylation data Description The package ’meth...
Contains fulltext : 100596.pdf (publisher's version ) (Open Access)Radboud Univers...
Zip file contains each of the datasets that accompany: Albaladejo et al. 2019 (https://doi.org/10.10...
This contains notebooks, scripts, data, and analysis files associated with a study on the effect of ...
Motivation: Cytosine methylation is widespread in most eukaryotic genomes and is known to play a sub...
Code and data used in paper "A Novel Computational Method for Detecting DNA Methylation Sites with S...
Summary: DNA methylation is an important mechanism regulating gene transcription, and its role in ca...
The following example illustrates a standard use case of the BEAT package, which is used for process...
Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diver...
Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diver...
Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diver...
The zipped file of this repository contains code and data to reproduce the results of the publicatio...
Summary: Here we present the open source R/Bioconductor software package BEAT (BS-Seq Epimutation An...
The R code demonstrates the workflow to analyze DNA methylation of msh1-derived epi lines (msh1 stat...
<p>The number of samples for the identification of DNA methylation patterns and differentially methy...
Title Methods for visualization and statistics on DNA methylation data Description The package ’meth...
Contains fulltext : 100596.pdf (publisher's version ) (Open Access)Radboud Univers...
Zip file contains each of the datasets that accompany: Albaladejo et al. 2019 (https://doi.org/10.10...
This contains notebooks, scripts, data, and analysis files associated with a study on the effect of ...
Motivation: Cytosine methylation is widespread in most eukaryotic genomes and is known to play a sub...
Code and data used in paper "A Novel Computational Method for Detecting DNA Methylation Sites with S...
Summary: DNA methylation is an important mechanism regulating gene transcription, and its role in ca...
The following example illustrates a standard use case of the BEAT package, which is used for process...
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