beadarray (original) (raw)

This is the released version of beadarray; for the devel version, seebeadarray.

Quality assessment and low-level analysis for Illumina BeadArray data

Bioconductor version: Release (3.22)

The package is able to read bead-level data (raw TIFFs and text files) output by BeadScan as well as bead-summary data from BeadStudio. Methods for quality assessment and low-level analysis are provided.

Author: Mark Dunning, Mike Smith, Jonathan Cairns, Andy Lynch, Matt Ritchie

Maintainer: Mark Dunning <m.j.dunning at sheffield.ac.uk>

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

Installation

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


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

BiocManager::install("beadarray")

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

Documentation

Details

biocViews Microarray, OneChannel, Preprocessing, QualityControl, Software
Version 2.59.0
In Bioconductor since BioC 1.8 (R-2.3) (19.5 years)
License MIT + file LICENSE
Depends R (>= 2.13.0), BiocGenerics(>= 0.3.2), Biobase(>= 2.17.8), hexbin
Imports BeadDataPackR, limma, AnnotationDbi, stats4, reshape2, GenomicRanges, IRanges, illuminaio, methods, ggplot2
System Requirements
URL

See More

Suggests lumi, vsn, affy, hwriter, beadarrayExampleData, illuminaHumanv3.db, gridExtra, BiocStyle, TxDb.Hsapiens.UCSC.hg19.knownGene, ggbio, Nozzle.R1, knitr
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Package Archives

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

Source Package
Windows Binary (x86_64) beadarray_2.59.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/beadarray
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/beadarray
Bioc Package Browser https://code.bioconductor.org/browse/beadarray/
Package Short Url https://bioconductor.org/packages/beadarray/
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