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HIVcDNAvantWout03

This is the development version of HIVcDNAvantWout03; for the stable release version, see HIVcDNAvantWout03.

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

Bioconductor version: Development (3.18)

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 (version "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("HIVcDNAvantWout03")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews ExperimentData, HIVData, MicroarrayData, TwoChannelData
Version 1.41.0
License GPL (>= 2)
Depends
Imports
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URL http://expression.microslu.washington.edu/expression/vantwoutjvi2002.html
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Follow Installation instructions to use this package in your R session.

Source Package HIVcDNAvantWout03_1.41.0.tar.gz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/HIVcDNAvantWout03
Package Short Url https://bioconductor.org/packages/HIVcDNAvantWout03/
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