lumi
BeadArray Specific Methods for Illumina Methylation and Expression Microarrays
Bioconductor version: 2.9
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, Gang Feng, Warren Kibbe, Simon Lin
Maintainer: Pan Du <dupan.mail at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("lumi")
To cite this package in a publication, start R and enter:
citation("lumi")
Documentation
| R Script | Analyze Illumina Infinium methylation microarray data | |
| Bioc2007_lumi_presentation.pdf | ||
| R Script | Evaluation of VST algorithm in lumi package | |
| R Script | Resolve the inconsistency of Illumina identifiers through nuID | |
| R Script | Using lumi A package processing Illumina Microarray | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Microarray, OneChannel, Preprocessing, DNAMethylation, QualityControl, TwoChannel |
| Depends | R (>= 2.4.0), methylumi(>= 1.7.4), Biobase(>= 2.5.5), nleqslv |
| Imports | affy(>= 1.23.4), methylumi, annotate, Biobase(>= 2.5.5), mgcv (>= 1.4-0), hdrcde, KernSmooth, preprocessCore, RSQLite, DBI, AnnotationDbi, MASS, graphics, stats, methods |
| Suggests | GeneAnswers, beadarray, limma, vsn, lumiBarnes, lumiHumanAll.db, lumiHumanIDMapping, genefilter, RColorBrewer |
| System Requirements | |
| License | LGPL (>= 2) |
| URL | |
| Depends On Me | arrayMvout, ffpeExampleData, lumiBarnes, lumiHumanIDMapping, lumiMouseIDMapping, lumiRatIDMapping, MAQCsubset, MAQCsubsetILM, mvoutData |
| Imports Me | |
| Suggests Me | beadarray, methylumi, tigre |
| Version | 2.6.0 |
| Since | Bioconductor 2.0 (R-2.5) |
Package Downloads
| Package Source | lumi_2.6.0.tar.gz |
| Windows Binary | lumi_2.6.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | lumi_2.6.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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