MassArray

DOI: 10.18129/B9.bioc.MassArray    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see MassArray.

Analytical Tools for MassArray Data

Bioconductor version: 3.13

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 <reid.thompson at gmail.com>, John M. Greally <john.greally at einstein.yu.edu>

Maintainer: Reid F. Thompson <reid.thompson at gmail.com>

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

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MassArray")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("MassArray")

 

PDF R Script 1. Primer
PDF   Reference Manual

Details

biocViews DNAMethylation, DataImport, Genetics, ImmunoOncology, MassSpectrometry, SNP, Software, Visualization
Version 1.44.0
In Bioconductor since BioC 2.6 (R-2.11) (11.5 years)
License GPL (>=2)
Depends R (>= 2.10.0), methods
Imports graphics, grDevices, stats, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package MassArray_1.44.0.tar.gz
Windows Binary MassArray_1.44.0.zip
macOS 10.13 (High Sierra) MassArray_1.44.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MassArray
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MassArray
Package Short Url https://bioconductor.org/packages/MassArray/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

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