recipe bioconductor-hivcdnavantwout03

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

Homepage:

https://bioconductor.org/packages/3.16/data/experiment/html/HIVcDNAvantWout03.html

License:

GPL (>= 2)

Recipe:

/bioconductor-hivcdnavantwout03/meta.yaml

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).

package bioconductor-hivcdnavantwout03

(downloads) docker_bioconductor-hivcdnavantwout03

Versions:
1.37.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0,  1.29.0-0,  1.28.0-0,  1.26.0-0, 

1.37.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0,  1.29.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-hivcdnavantwout03

and update with:

conda update bioconductor-hivcdnavantwout03

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-hivcdnavantwout03:<tag>

(see bioconductor-hivcdnavantwout03/tags for valid values for <tag>)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-hivcdnavantwout03/README.html)