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
User manual
https://methylr.netlify.app/methylysisDownloads
- Container filehttps://hub.docker.com/r/jd21/methylr
Links
Repository
https://github.com/JD2112/methylrDiscussion forum
https://groups.google.com/g/methylr