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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("illuminaHumanv2BeadID.db")
In most cases, you don't need to download the package archive at all.
illuminaHumanv2BeadID.db
Illumina HumanWGv2 annotation data (chip illuminaHumanv2BeadID)
Bioconductor version: 3.0
Illumina HumanWGv2 annotation data (chip illuminaHumanv2BeadID) assembled using data from public repositories to be used with data summarized from bead-level data with numeric ArrayAddressIDs as keys. Illumina probes with a No match or Bad quality score were removed prior to annotation. See http://www.compbio.group.cam.ac.uk/Resources/Annotation/index.html and Barbosa-Morais et al (2010) A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data. Nucleic Acids Research.
Author: Mark Dunning, Matt Ritchie, Nuno Barbosa-Morais
Maintainer: Mark Dunning <mark.dunning at cancer.org.uk>
Citation (from within R,
enter citation("illuminaHumanv2BeadID.db")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("illuminaHumanv2BeadID.db")
Documentation
| Reference Manual |
Details
| biocViews | AnnotationData, Homo_sapiens, IlluminaChip, illuminaHumanv2BeadID |
| Version | 1.8.0 |
| License | Artistic-2.0 |
| Depends | R (>= 2.7.0), methods, AnnotationDbi(>= 1.11.8), org.Hs.eg.db(>= 2.4.5) |
| Imports | methods, AnnotationDbi |
| LinkingTo | |
| Suggests | annotate |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | illuminaHumanv2BeadID.db_1.8.0.tar.gz |
| Windows Binary | illuminaHumanv2BeadID.db_1.8.0.zip |
| Mac OS X 10.6 (Snow Leopard) | illuminaHumanv2BeadID.db_1.8.0.tgz |
| Mac OS X 10.9 (Mavericks) | illuminaHumanv2BeadID.db_1.8.0.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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