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

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.

Documentation

Downloads