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Turn Bioconductor objects into tidy data frames

Bioconductor version: Release (3.19)

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.

Author: Andrew J. Bass, David G. Robinson, Steve Lianoglou, Emily Nelson, John D. Storey, with contributions from Laurent Gatto

Maintainer: John D. Storey <jstorey at> and Andrew J. Bass <ajbass at>

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


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

if (!require("BiocManager", quietly = TRUE))


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


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

Vignette Title HTML R Script
Reference Manual PDF


biocViews DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Proteomics, Regression, Software
Version 1.36.0
In Bioconductor since BioC 3.2 (R-3.2) (8.5 years)
License LGPL
Depends R (>= 3.0.0), broom
Imports dplyr, tidyr, Biobase
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Suggests limma, DESeq2, airway, ggplot2, plyr, GenomicRanges, testthat, magrittr, edgeR, qvalue, knitr, data.table, MSnbase, rmarkdown, SummarizedExperiment
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Follow Installation instructions to use this package in your R session.

Source Package biobroom_1.36.0.tar.gz
Windows Binary
macOS Binary (x86_64) biobroom_1.36.0.tgz
macOS Binary (arm64) biobroom_1.36.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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