This is the development version of MassArray; for the stable release version, see MassArray.
Analytical Tools for MassArray DataBioconductor version: Development (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")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("MassArray")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MassArray")Follow Installation instructions to use this package in your R session.
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