## REMP: Repetitive Element Methylation Prediction [](https://www.bioconductor.org/packages/release/bioc/html/REMP.html) *REMP* provides 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 HIMA is now available in Bioconductor repository ```r ## To get the latest REMP, please first make sure you are using the latest Bioconductor biocLite("BiocUpgrade") ## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("REMP") ``` ## Citation: Zheng Y, Joyce BT, Liu L, Zhang Z, Kibbe WA, Zhang W, Hou L. Prediction of genome-wide DNA methylation in repetitive elements. Nucleic Acids Research. 2017;45(15):8697-711. [PubMed PMID: 28911103](https://www.ncbi.nlm.nih.gov/pubmed/28911103); [PMCID: PMC5587781](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587781/). [http://dx.doi.org/10.1093/nar/gkx587](http://dx.doi.org/10.1093/nar/gkx587). ## Contact package maintainer: Yinan Zheng Email: y-zheng@northwestern.edu