methylR

methylR performs comprehensive analysis of Illumina DNA methylation array data to characterize epigenetic variation, including processing raw data, multidimensional analyses, and pathway enrichment for epigenetic studies.


Key Features:

  • Integration of established packages: Leverages standard open-source packages and pipelines for methylation data analysis.
  • Raw data processing and downstream analyses: Processes raw Illumina DNA methylation array data and performs downstream analyses.
  • Eight-module multidimensional analysis: Provides eight distinct modules for multidimensional analysis enabling pathway enrichment and other advanced analyses.
  • Array specificity: Primarily designed for Illumina DNA methylation array data.
  • Accessory module adaptability: Includes accessory modules that are adaptable for analyzing different types of data.
  • Validation with public datasets: Evaluated using publicly available datasets with comparisons to published outcomes.

Scientific Applications:

  • Epigenetic studies: Supports analysis of DNA methylation patterns in epigenetic research.
  • Gene expression regulation: Enables investigation of relationships between methylation and gene expression regulation.
  • Disease mechanism studies: Facilitates study of disease mechanisms mediated by DNA methylation.
  • Other epigenetic phenomena: Applicable to analysis of other biological phenomena influenced by epigenetic modifications.

Methodology:

Integrates well-established computational packages and pipelines to process raw methylation array data and generate downstream analytical outputs.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
desktop application, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
JavaScript, R
Added:
9/15/2023
Last Updated:
9/22/2025

Operations

Data Inputs & Outputs

Essential dynamics

Publications

Volpe M, Das J. methylR: a graphical interface for comprehensive DNA methylation array data analysis. Bioinformatics. 2023;39(4). doi:10.1093/bioinformatics/btad184. PMID:37039839. PMCID:PMC10125902.

Documentation

Downloads

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