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beadarray

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

Quality assessment and low-level analysis for Illumina BeadArray data

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DOI: 10.18129/B9.bioc.beadarray


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, entercitation("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 appropriateBioconductor release.

Documentation

Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsMicroarray,OneChannel,Preprocessing,QualityControl,Software
Version2.59.0
In Bioconductor sinceBioC 1.8 (R-2.3) (19.5 years)
LicenseMIT + file LICENSE
DependsR (>= 2.13.0),BiocGenerics(>= 0.3.2),Biobase(>= 2.17.8),hexbin
ImportsBeadDataPackR,limma,AnnotationDbi, stats4,reshape2,GenomicRanges,IRanges,illuminaio, methods,ggplot2
System Requirements
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Suggestslumi,vsn,affy,hwriter,beadarrayExampleData,illuminaHumanv3.db,gridExtra,BiocStyle,TxDb.Hsapiens.UCSC.hg19.knownGene,ggbio, Nozzle.R1,knitr
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Package Archives

FollowInstallation 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 Repositorygit clone https://git.bioconductor.org/packages/beadarray
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/beadarray
Bioc Package Browserhttps://code.bioconductor.org/browse/beadarray/
Package Short Urlhttps://bioconductor.org/packages/beadarray/
Package Downloads ReportDownload Stats

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