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- moex10stprobeset.db
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("moex10stprobeset.db")
In most cases, you don't need to download the package archive at all.
moex10stprobeset.db
Affymetrix moex10 annotation data (chip moex10stprobeset)
Bioconductor version: 3.0
Affymetrix moex10 annotation data (chip moex10stprobeset) assembled using data from public repositories
Author: James W. MacDonald
Maintainer: Biocore Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("moex10stprobeset.db")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("moex10stprobeset.db")
Documentation
| Reference Manual |
Details
| biocViews | AffymetrixChip, AnnotationData, ChipDb, Mus_musculus, moex10stprobeset |
| Version | 8.2.0 |
| License | Artistic-2.0 |
| Depends | R (>= 2.7.0), methods, AnnotationDbi(>= 1.27.18), org.Mm.eg.db(>= 3.0.0) |
| Imports | methods, AnnotationDbi |
| LinkingTo | |
| Suggests | annotate, RUnit |
| 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 | moex10stprobeset.db_8.2.0.tar.gz |
| Windows Binary | moex10stprobeset.db_8.2.0.zip |
| Mac OS X 10.6 (Snow Leopard) | moex10stprobeset.db_8.2.0.tgz |
| Mac OS X 10.9 (Mavericks) | moex10stprobeset.db_8.2.0.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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