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Bioconductor 3.22 Released

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MassArray

This is thereleased version of MassArray; for the devel version, seeMassArray.

Analytical Tools for MassArray Data

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DOI: 10.18129/B9.bioc.MassArray


Bioconductor version: Release (3.22)

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, entercitation("MassArray")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("MassArray")

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

Documentation

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

browseVignettes("MassArray")
1. PrimerPDFR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDNAMethylation,DataImport,Genetics,ImmunoOncology,MassSpectrometry,SNP,Software,Visualization
Version1.62.0
In Bioconductor sinceBioC 2.6 (R-2.11) (15.5 years)
LicenseGPL (>=2)
DependsR (>= 2.10.0), methods
Importsgraphics, grDevices, stats, utils
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageMassArray_1.62.0.tar.gz
Windows Binary (x86_64) MassArray_1.62.0.zip
macOS Binary (x86_64)MassArray_1.62.0.tgz
macOS Binary (arm64)MassArray_1.62.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MassArray
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MassArray
Bioc Package Browserhttps://code.bioconductor.org/browse/MassArray/
Package Short Urlhttps://bioconductor.org/packages/MassArray/
Package Downloads ReportDownload Stats

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