recipe bioconductor-beer

Bayesian Enrichment Estimation in R

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/beer.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-beer/meta.yaml

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

• r-cli

• r-progressr

• r-rjags

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

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