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REMP

Repetitive Element Methylation Prediction

Bioconductor version: 3.23 · Package version: 1.36.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("REMP")

Details

MaintainerYinan Zheng <y-zheng@northwestern.edu>
AuthorYinan Zheng [aut, cre], Lei Liu [aut], Wei Zhang [aut], Warren Kibbe [aut], Lifang Hou [aut, cph]
LicenseGPL-3
URLhttps://github.com/YinanZheng/REMP
Bug Reportshttps://github.com/YinanZheng/REMP/issues
Downloads rank544
Source branchRELEASE_3_23
biocViewsDNAMethylation, DataImport, DifferentialMethylation, Epigenetics, GenomeWideAssociation, MethylationArray, Microarray, MultiChannel, Preprocessing, QualityControl, Sequencing, Software, TwoChannel

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageREMP_1.36.0.tar.gz
Windows binary (x86_64)REMP_1.36.0.zip
macOS binary (arm64)REMP_1.36.0.tgz
macOS binary (x86_64)REMP_1.36.0.tgz
Dependencies

Depends: R (>= 3.6), SummarizedExperiment (>= 1.1.6), minfi (>= 1.22.0)

Imports: readr, rtracklayer, graphics, stats, utils, methods, settings, BiocGenerics, S4Vectors, Biostrings, GenomicRanges, IRanges, Seqinfo, BiocParallel, doParallel, parallel, foreach, caret, kernlab, ranger, BSgenome, AnnotationHub, org.Hs.eg.db, impute, iterators

Suggests: IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b2.hg19, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, knitr, rmarkdown, minfiDataEPIC