- recipe bioconductor-beer
Bayesian Enrichment Estimation in R
- Homepage:
- License:
MIT + file LICENSE
- Recipe:
BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData object, BEER returns posterior probabilities of enriched antibody responses, point estimates for the relative fold-change in comparison to negative control samples, and more. Additionally, BEER provides a convenient implementation for using edgeR to identify enriched antibody responses.
- package bioconductor-beer¶
-
- Versions:
1.2.0-0
- Depends:
bioconductor-biocparallel
>=1.32.0,<1.33.0
bioconductor-edger
>=3.40.0,<3.41.0
bioconductor-phipdata
>=1.6.0,<1.7.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-beer
and update with:
conda update bioconductor-beer
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-beer:<tag>
(see bioconductor-beer/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-beer/README.html)