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biocLite("HIVcDNAvantWout03")
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HIVcDNAvantWout03
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This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see HIVcDNAvantWout03.
T cell line infections with HIV-1 LAI (BRU)
Bioconductor version: 3.0
The expression levels of approximately 4600 cellular RNA transcripts were assessed in CD4+ T cell lines at different times after infection with HIV-1BRU using DNA microarrays. This data corresponds to the first block of a 12 block array image (001030_08_1.GEL) in the first data set (2000095918 A) in the first experiment (CEM LAI vs HI-LAI 24hr). There are two data sets, which are part of a dye-swap experiment with replicates, representing the Cy3 (green) absorption intensities for channel 1 (hiv1raw) and the Cy5 (red) absorption intensities for channel 2 (hiv2raw).
Author: Dr. Angelique van't Wout, Department of Microbiology, University of Washington
Maintainer: Chris Fraley <fraley at stat.washington.edu>
Citation (from within R,
enter citation("HIVcDNAvantWout03")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HIVcDNAvantWout03")
Documentation
| Reference Manual |
Details
| biocViews | ExperimentData, HIV |
| Version | 1.5.1 |
| License | GPL (>= 2) |
| Depends | |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | http://expression.microslu.washington.edu/expression/vantwoutjvi2002.html |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | HIVcDNAvantWout03_1.5.1.tar.gz |
| Windows Binary | HIVcDNAvantWout03_1.5.1.zip |
| Mac OS X 10.6 (Snow Leopard) | HIVcDNAvantWout03_1.5.1.tgz |
| Mac OS X 10.9 (Mavericks) | HIVcDNAvantWout03_1.5.1.tgz |
| Subversion source | (username/password: readonly) |
| Package Short Url | http://bioconductor.org/packages/HIVcDNAvantWout03/ |
| Package Downloads Report | Download Stats |
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