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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("hgu133plus2.db")
In most cases, you don't need to download the package archive at all.
hgu133plus2.db
Affymetrix Human Genome U133 Plus 2.0 Array annotation data (chip hgu133plus2)
Bioconductor version: 3.0
Affymetrix Human Genome U133 Plus 2.0 Array annotation data (chip hgu133plus2) assembled using data from public repositories
Author: Marc Carlson
Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("hgu133plus2.db")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("hgu133plus2.db")
Documentation
| Reference Manual |
Details
| biocViews | AffymetrixChip, AnnotationData, ChipDb, Homo_sapiens, hgu133plus2 |
| Version | 3.0.0 |
| License | Artistic-2.0 |
| Depends | R (>= 2.7.0), methods, AnnotationDbi(>= 1.27.15), org.Hs.eg.db(>= 3.0.0) |
| Imports | methods, AnnotationDbi |
| LinkingTo | |
| Suggests | annotate, RUnit |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | humanStemCell, maPredictDSC |
| Imports Me | DeSousa2013, DrugVsDisease, PADOG |
| Suggests Me | epivizr, geecc, graphite, KEGGgraph, mvGST, pcaGoPromoter, PREDAsampledata, rheumaticConditionWOLLBOLD, rtracklayer, SPIA |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | hgu133plus2.db_3.0.0.tar.gz |
| Windows Binary | hgu133plus2.db_3.0.0.zip |
| Mac OS X 10.6 (Snow Leopard) | hgu133plus2.db_3.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | hgu133plus2.db_3.0.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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