wateRmelon
wateRmelon implements normalization and quality-assessment methods for DNA methylation data from the Illumina Infinium HumanMethylation450 (450K) BeadChip to improve the accuracy of downstream epigenetic analyses.
Key Features:
- Quantile normalization: Implements advanced quantile normalization techniques tailored to Illumina 450K methylation data.
- Separate M and U normalization and assay-type handling: Normalizes methylated (M) and unmethylated (U) signal intensities separately and treats Type I and Type II assays independently, in contrast to conventional beta value normalization.
- Quality metrics from biological signals: Derives three independent quality metrics based on genomic imprinting, X-chromosome inactivation (XCI), and SNP genotyping assay performance to evaluate normalization schemes and dataset quality.
- Conservative quantile adjustments: Avoids overly complex quantile manipulations that have been shown to reduce performance.
Scientific Applications:
- Epigenetic research: Supports studies of DNA methylation patterns across tissues, developmental stages, and experimental conditions using Illumina 450K data.
- Disease pathogenesis and biomarker discovery: Reduces technical variance to improve detection of subtle methylation changes associated with complex diseases, increasing statistical power for association analyses.
Methodology:
Performs separate normalization of methylated (M) and unmethylated (U) signals, applies quantile normalization with distinct handling of Type I and Type II assays, derives three quality metrics from imprinting, XCI and SNP genotyping performance, and avoids complex quantile manipulations; contrasted with conventional beta value normalization.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 1/9/2019
Operations
Data Inputs & Outputs
Methylation analysis
Publications
Pidsley R, Y Wong CC, Volta M, Lunnon K, Mill J, Schalkwyk LC. A data-driven approach to preprocessing Illumina 450K methylation array data. BMC Genomics. 2013;14(1). doi:10.1186/1471-2164-14-293. PMID:23631413. PMCID:PMC3769145.