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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("pd.hta.2.0")
In most cases, you don't need to download the package archive at all.
pd.hta.2.0
Platform Design Info for Affymetrix HTA-2_0
Bioconductor version: 3.0
Platform Design Info for Affymetrix HTA-2_0
Author: James W. MacDonald
Maintainer: James W. MacDonald <jmacdon at uw.edu>
Citation (from within R,
enter citation("pd.hta.2.0")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("pd.hta.2.0")
Documentation
| Reference Manual |
Details
| biocViews | AnnotationData |
| Version | 3.10.1 |
| License | Artistic-2.0 |
| Depends | R (>= 3.1.0), Biostrings(>= 2.33.14), methods, RSQLite (>= 0.11.4), oligoClasses(>= 1.27.2), oligo(>= 1.29.1), DBI (>= 0.3.1), IRanges(>= 1.99.31), S4Vectors(>= 0.2.5) |
| Imports | |
| LinkingTo | |
| Suggests | |
| 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 | pd.hta.2.0_3.10.1.tar.gz |
| Windows Binary | pd.hta.2.0_3.10.1.zip |
| Mac OS X 10.6 (Snow Leopard) | pd.hta.2.0_3.10.1.tgz |
| Mac OS X 10.9 (Mavericks) | pd.hta.2.0_3.10.1.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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