🍪 SEnsible Step-wise Analysis of DNA MEthylation BeadChips

A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine reports)

An R 📦 for fast and flexible DNA methylation analysis

Modelling DNA methylation profiles

R package for DNA methylation analysis

A chronological age predictor based on DNA methylation

TFregulomeR reveals transcription factors’ context-specific features and functions

Annotating epigenetic variation among samples with region sets in R

Tool to estimate purity of tumor samples exploiting DNA Methylation data

The deconvR is an R package designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model.

Epigenome-wide analysis of DNA methylation from Alzheimer's patients and unaffected controls

Calculate DNA methylation age using Horvath 2013 method

An R package for weighted region comethylation network analysis

A pipeline to identify differentially-methylated regions from whole-genome bisulfite sequencing data

TFregulomeR reveals transcription factors’ context-specific features and functions

This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction

A pipeline for the integration of DNA methylation and hydroxymethylation data

Takes output from DMRichR and performs statistical testing and visualization for CpG and genic annotation enrichments

PipiDABS: A Comprehensive and User-Friendly Pipeline for Downstream DNA Methylation Analysis of High-throughput Bisulfite Sequencing Data.

Code accompanying the findings in Duran-Ferrer 2020, Nat Cancer. The epiCMIT mitotic clock calculator and a Pan B-cell tumor classifier algorithm are provided.