Methrix: An R/bioconductor package for systematic aggregation and analysis of bisulfite sequencing data

Anand Mayakonda, Maximilian Schönung, Joschka Hey, Rajbir Nath Batra, Clarissa Feuerstein-Akgoz, Kristin Köhler, Daniel B. Lipka, Rocio Sotillo, Christoph Plass, Pavlo Lutsik, Reka Toth*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)


Motivation: Whole-genome bisulfite sequencing (WGBS) measures DNA methylation at base pair resolution resulting in large bedGraph like coverage files. Current options for processing such files are hindered by discrepancies in file format specification, speed, and memory requirements. Results: We developed methrix, an R package, which provides a toolset for systematic analysis of large datasets. Core functionality of the package includes a comprehensive bedGraph or similar tab-separated text file reader - which summarizes methylation calls based on annotated reference indices, infers and collapses strands and handles uncovered reference CpG sites while facilitating a flexible input file format specification. Additional optimized functions for quality control filtering, subsetting and visualization allow user-friendly and effective processing of WGBS results. Easy integration with tools for differentially methylated region (DMR) calling and annotation further eases the analysis of genome-wide methylation data. Overall, methrix enriches established WGBS workflows by bringing together computational efficiency and versatile functionality.

Original languageEnglish
Pages (from-to)5524-5525
Number of pages2
Issue number22-23
Publication statusPublished - 1 Dec 2020
Externally publishedYes


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