REMP: Repetitive Element Methylation Prediction
Version 1.2.5

Machine learning-based tools to predict DNA methylation of locus-specific repetitive elements (RE) by learning surrounding genetic and epigenetic information. These tools provide genomewide and single-base resolution of DNA methylation prediction on RE that are difficult to measure using array-based or sequencing-based platforms, which enables epigenome-wide association study (EWAS) and differentially methylated region (DMR) analysis on RE.

Package details

AuthorYinan Zheng [aut, cre], Lei Liu [aut], Wei Zhang [aut], Warren Kibbe [aut], Lifang Hou [aut, cph]
Bioconductor views Alignment DNAMethylation DataImport DifferentialMethylation Epigenetics GenePrediction MethylationArray Microarray MultiChannel Normalization Preprocessing QualityControl Sequencing TwoChannel
MaintainerYinan Zheng <[email protected]>
LicenseGPL-3
Version1.2.5
URL https://github.com/YinanZheng/REMP
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("REMP")

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REMP documentation built on Dec. 4, 2017, 2 a.m.