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biobroom

Turn Bioconductor objects into tidy data frames

Bioconductor version: 3.23 · Package version: 1.43.0

This package contains methods for converting standard objects constructed by bioinformatics packages, especially those in Bioconductor, and converting them to tidy data. It thus serves as a complement to the broom package, and follows the same the tidy, augment, glance division of tidying methods. Tidying data makes it easy to recombine, reshape and visualize bioinformatics analyses.

DOI: 10.18129/B9.bioc.biobroom

Installation

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

BiocManager::install("biobroom")

Details

MaintainerJohn D. Storey <jstorey@princeton.edu> and Andrew J. Bass <ajbass@emory.edu>
AuthorAndrew J. Bass, David G. Robinson, Steve Lianoglou, Emily Nelson, John D. Storey, with contributions from Laurent Gatto
LicenseLGPL
URLhttps://github.com/StoreyLab/biobroom
Bug Reportshttps://github.com/StoreyLab/biobroom/issues
StatusDeprecated
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDataImport, DifferentialExpression, GeneExpression, MultipleComparison, Proteomics, Regression, Software
Package Short Url https://bioconductor.org/packages/biobroom/

Citation

From within R, enter citation("biobroom"):

Andrew J. Bass, David G. Robinson, Steve Lianoglou, Emily Nelson, John D. Storey, with contributions from Laurent Gatto. biobroom: Turn Bioconductor objects into tidy data frames. doi:10.18129/B9.bioc.biobroom, R package version 1.43.0, https://bioconductor.org/packages/biobroom.

Generated from the package metadata; it may differ from the package's own citation.

Download

Follow the installation instructions to use this package in your R session.

Source packagebiobroom_1.43.0.tar.gz
Windows binary (x86_64)biobroom_1.43.0.zip
macOS binary (arm64)biobroom_1.43.0.tgz
macOS binary (x86_64)biobroom_1.43.0.tgz
Dependencies

Depends: R (>= 3.0.0), broom

Imports: dplyr, tidyr, Biobase

Suggests: limma, DESeq2, airway, ggplot2, plyr, GenomicRanges, testthat, magrittr, edgeR, qvalue, knitr, data.table, MSnbase, rmarkdown, SummarizedExperiment