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beer

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see beer.

Bayesian Enrichment Estimation in R


Bioconductor version: 3.19

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 <achen70 at jhu.edu>

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")
beer HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

Version 1.8.0
In Bioconductor since BioC 3.15 (R-4.2) (2.5 years)
License MIT + file LICENSE
Depends R (>= 4.2.0), PhIPData(>= 1.1.1), rjags
Imports cli, edgeR, BiocParallel, methods, progressr, stats, SummarizedExperiment, utils
System Requirements JAGS (4.3.0)
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Package Archives

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

Source Package beer_1.8.0.tar.gz
Windows Binary (x86_64) beer_1.8.0.zip (64-bit only)
macOS Binary (x86_64) beer_1.8.0.tgz
macOS Binary (arm64) beer_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/beer
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/beer
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