MethylAid

MethylAid performs quality control on Illumina 450k array DNA methylation data to identify poor-quality samples and annotate technical variation for large-scale genome-wide DNA methylation studies.


Key Features:

  • Quality control probes: Employs both sample-dependent and sample-independent quality control probes present on the Illumina 450k array to detect poor-quality samples.
  • User-adjustable thresholds: Supports user-defined thresholds to tailor detection criteria for suboptimal samples.
  • Diagnostic plots: Produces diagnostic plots to visualize sample-level quality metrics for detection of problematic samples.
  • Metadata annotation: Enables annotation of plots with metadata such as batch information to aid identification of batch effects and outliers.
  • Scalability: Designed to handle large-scale studies, making it suitable for extensive epigenome-wide association studies (EWAS).
  • Implementation: Implemented as an R/Bioconductor package.

Scientific Applications:

  • Quality assessment: Used for sample-level quality assessment in DNA methylation studies prior to downstream analysis.
  • Large-scale and multi-batch studies: Applied in large-scale EWAS and multi-batch experimental designs to detect technical artifacts, batch effects, and outliers.

Methodology:

MethylAid is implemented as an R/Bioconductor package and leverages sample-dependent and sample-independent Illumina 450k quality control probes together with user-defined thresholds to identify poor-quality samples, producing diagnostic plots and supporting metadata annotation.

Topics

Collections

Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/10/2019

Operations

Data Inputs & Outputs

Publications

van Iterson M, Tobi EW, Slieker RC, den Hollander W, Luijk R, Slagboom PE, Heijmans BT. MethylAid: visual and interactive quality control of large Illumina 450k datasets. Bioinformatics. 2014;30(23):3435-3437. doi:10.1093/bioinformatics/btu566. PMID:25147358.

Documentation

Downloads

Links