HIVcDNAvantWout03

DOI: 10.18129/B9.bioc.HIVcDNAvantWout03    

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

Bioconductor version: Release (3.14)

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>

Installation

To install this package, start R (version "4.1") 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

PDF		Reference Manual

Details

biocViews	ExperimentData, HIVData, MicroarrayData, TwoChannelData
Version	1.34.0
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
Links To Me
Build Report

Package Archives

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

Source Package	HIVcDNAvantWout03_1.34.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
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/
Package Downloads Report	Download Stats