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Bioconductor 3.22 Released

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lumi

This is thereleased version of lumi; for the devel version, seelumi.

BeadArray Specific Methods for Illumina Methylation and Expression Microarrays

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DOI: 10.18129/B9.bioc.lumi


Bioconductor version: Release (3.22)

The lumi package provides an integrated solution for the Illumina microarray data analysis. It includes functions of Illumina BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific variance stabilization, normalization and gene annotation at the probe level. It also includes the functions of processing Illumina methylation microarrays, especially Illumina Infinium methylation microarrays.

Author: Pan Du, Richard Bourgon, Gang Feng, Simon Lin

Maintainer: Lei Huang <lhuang1998 at gmail.com>

Citation (from within R, entercitation("lumi")):

Installation

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

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

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

Documentation

Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDNAMethylation,Microarray,OneChannel,Preprocessing,QualityControl,Software,TwoChannel
Version2.62.0
In Bioconductor sinceBioC 2.0 (R-2.5) (18.5 years)
LicenseLGPL (>= 2)
DependsR (>= 2.10),Biobase(>= 2.5.5)
Importsaffy(>= 1.23.4),methylumi(>= 2.3.2),GenomicFeatures,GenomicRanges,annotate,lattice,mgcv (>= 1.4-0),nleqslv,KernSmooth,preprocessCore,RSQLite,DBI,AnnotationDbi,MASS, graphics, stats, stats4, methods
System Requirements
URL
See More
Suggestsbeadarray,limma,vsn,lumiBarnes,lumiHumanAll.db,lumiHumanIDMapping,genefilter,RColorBrewer
Linking To
Enhances
Depends On MeiCheck,wateRmelon,lumiHumanIDMapping,lumiMouseIDMapping,lumiRatIDMapping,ffpeExampleData,lumiBarnes,MAQCsubset,mvoutData
Imports MearrayMvout,ffpe,MineICA
Suggests MeHarman,methylumi,tigre,maGUI
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagelumi_2.62.0.tar.gz
Windows Binary (x86_64) lumi_2.62.0.zip
macOS Binary (x86_64)lumi_2.62.0.tgz
macOS Binary (arm64)lumi_2.62.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/lumi
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/lumi
Bioc Package Browserhttps://code.bioconductor.org/browse/lumi/
Package Short Urlhttps://bioconductor.org/packages/lumi/
Package Downloads ReportDownload Stats

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