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beer

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

Bayesian Enrichment Estimation in R


Bioconductor version: Release (3.23)

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] ORCID iD ORCID: 0000-0001-6900-2264 , Rob Scharpf [aut], Ingo Ruczinski [aut]

Maintainer: Athena Chen <achen70 at jhu.edu>

Citation (from within R, enter citation("beer")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") 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

biocViews Bayesian, Coverage, Sequencing, Software, StatisticalMethod
Version 1.15.1
In Bioconductor since BioC 3.15 (R-4.2) (4.5 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)
URL https://github.com/athchen/beer/
Bug Reports https://github.com/athchen/beer/issues
See More
Suggests testthat (>= 3.0.0), BiocStyle, covr, codetools, knitr, rmarkdown, dplyr, ggplot2, spelling
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Package Archives

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

Source Package beer_1.15.1.tar.gz
Windows Binary (x86_64) beer_1.15.1.zip
macOS Binary (big-sur-x86_64) beer_1.15.1.tgz
macOS Binary (sonoma-arm64) beer_1.15.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/beer
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/beer
Bioc Package Browser https://code.bioconductor.org/browse/beer/
Package Short Url https://bioconductor.org/packages/beer/
Package Downloads Report Download Stats