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 (3.22)
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, entercitation("HIVcDNAvantWout03")): Installation
To install this package, start R (version "4.5") 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.
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