To install this package, start R and enter:

## try http if https is not available

In most cases, you don't need to download the package archive at all.



Analytical Tools for MassArray Data

Bioconductor version: Release (3.1)

This package is designed for the import, quality control, analysis, and visualization of methylation data generated using Sequenom's MassArray platform. The tools herein contain a highly detailed amplicon prediction for optimal assay design. Also included are quality control measures of data, such as primer dimer and bisulfite conversion efficiency estimation. Methylation data are calculated using the same algorithms contained in the EpiTyper software package. Additionally, automatic SNP-detection can be used to flag potentially confounded data from specific CG sites. Visualization includes barplots of methylation data as well as UCSC Genome Browser-compatible BED tracks. Multiple assays can be positionally combined for integrated analysis.

Author: Reid F. Thompson <rthompso at>, John M. Greally <jgreally at>

Maintainer: Reid F. Thompson <rthompso at>

Citation (from within R, enter citation("MassArray")):


To install this package, start R and enter:

## try http if https is not available


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script 1. Primer
PDF   Reference Manual


biocViews DNAMethylation, DataImport, Genetics, MassSpectrometry, SNP, Software, Visualization
Version 1.20.0
In Bioconductor since BioC 2.6 (R-2.11) (5.5 years)
License GPL (>=2)
Depends R (>= 2.10.0), methods
Imports graphics, grDevices, methods, stats, utils
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source MassArray_1.20.0.tar.gz
Windows Binary
Mac OS X 10.6 (Snow Leopard) MassArray_1.20.0.tgz
Mac OS X 10.9 (Mavericks) MassArray_1.20.0.tgz
Subversion source (username/password: readonly)
Git source
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center