HIVcDNAvantWout03
T cell line infections with HIV-1 LAI (BRU)
Bioconductor version: Release (3.20)
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("HIVcDNAvantWout03")):
Installation
To install this package, start R (version "4.4") 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
| Reference Manual |
Details
| biocViews | ExperimentData, HIVData, MicroarrayData, TwoChannelData |
| Version | 1.46.0 |
| License | GPL (>= 2) |
| Depends | |
| Imports | |
| System Requirements | |
| URL | http://expression.microslu.washington.edu/expression/vantwoutjvi2002.html |
See More
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | HIVcDNAvantWout03_1.46.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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 |