HIVcDNAvantWout03

This is the released version of HIVcDNAvantWout03; for the devel version, see HIVcDNAvantWout03.

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

Bioconductor version: Release (3.23)

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")):

Dr. Angelique van't Wout, Department of Microbiology, University of Washington. HIVcDNAvantWout03: T cell line infections with HIV-1 LAI (BRU). doi:10.18129/B9.bioc.HIVcDNAvantWout03, R package version 1.52.0, https://bioconductor.org/packages/HIVcDNAvantWout03.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("HIVcDNAvantWout03")

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

Documentation

No vignettes available
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, HIVData, MicroarrayData, TwoChannelData
Version	1.52.0
In Bioconductor since	BioC 2.5 (R-2.10) or earlier (> 17 years)
License	GPL (>= 2)
Depends
Imports
System Requirements
URL	http://expression.microslu.washington.edu/expression/vantwoutjvi2002.html

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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	HIVcDNAvantWout03_1.52.0.tar.gz
Windows Binary (x86_64)
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Source Repository	git clone https://git.bioconductor.org/packages/HIVcDNAvantWout03
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/HIVcDNAvantWout03
Package Short Url	https://bioconductor.org/packages/HIVcDNAvantWout03/
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