beer (original) (raw)

This is the released version of beer; for the devel version, seebeer.

Bayesian Enrichment Estimation in R

Bioconductor version: Release (3.20)

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.

Author: Athena Chen [aut, cre] , Rob Scharpf [aut], Ingo Ruczinski [aut]

Maintainer: Athena Chen

Citation (from within R, enter citation("beer")):

Installation

To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("beer")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("beer")

Details

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Follow Installation instructions to use this package in your R session.