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
Methylation analysis
Inputs
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.