methrix
methrix processes whole-genome bisulfite sequencing (WGBS) bedGraph-like coverage files to summarize CpG-level DNA methylation, aggregate methylation and coverage matrices, and enable downstream differential methylation (DMR) analysis.
Key Features:
- Comprehensive File Reading: Reader for bedGraph or tab-separated coverage files that summarizes methylation calls using annotated reference indices, infers and collapses strands, and handles uncovered reference CpG sites.
- Data Aggregation: Aggregates multiple bedGraph files into cohesive methylation and coverage matrices for downstream analyses.
- Quality Control and Subsetting: Provides functions for quality-control filtering and subsetting of methylation and coverage data.
- Visualization: Includes visualization functions for interpreting methylation and coverage patterns.
- DMR Integration: Facilitates integration with differentially methylated region (DMR) calling and annotation tools.
- R/Bioconductor Implementation: Implemented in R with compatibility for the Bioconductor ecosystem.
Scientific Applications:
- Epigenome-Wide Association Studies (EWAS): Supports processing and aggregation of WGBS data for EWAS to detect methylation–phenotype associations.
- Developmental Biology: Enables analysis of CpG methylation changes across developmental stages.
- Cancer Research: Enables analysis of genome-wide methylation alterations associated with cancer.
Methodology:
Reads bedGraph-like coverage files and summarizes methylation calls using annotated reference indices with strand inference and collapse, handles uncovered CpG sites, aggregates files into methylation/coverage matrices, and performs quality-control filtering, subsetting, visualization, and integration for DMR calling. The package is implemented in R and is compatible with the Bioconductor ecosystem.
Topics
Details
- License:
- MIT
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
Mayakonda A, Schönung M, Hey J, Batra RN, Feuerstein-Akgoz C, Köhler K, Lipka DB, Sotillo R, Plass C, Lutsik P, Toth R. Methrix: an R/Bioconductor package for systematic aggregation and analysis of bisulfite sequencing data. Bioinformatics. 2020;36(22-23):5524-5525. doi:10.1093/bioinformatics/btaa1048. PMID:33346800.