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## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HIVcDNAvantWout03")

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HIVcDNAvantWout03

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see HIVcDNAvantWout03.

T cell line infections with HIV-1 LAI (BRU)

Bioconductor version: 3.2

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

PDF   Reference Manual

Details

biocViews ExperimentData, HIVData, MicroarrayData, TwoChannelData
Version 1.10.0
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_1.10.0.tar.gz
Windows Binary
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Package Short Url http://bioconductor.org/packages/HIVcDNAvantWout03/
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