DOI: 10.18129/B9.bioc.biobroom    

Turn Bioconductor objects into tidy data frames

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported


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biocViews DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Proteomics, Regression, Software
Version 1.10.1
In Bioconductor since BioC 3.2 (R-3.2) (2.5 years)
License LGPL
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, SummarizedExperiment
Depends On Me
Imports Me TPP
Suggests Me
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Follow Installation instructions to use this package in your R session.

Source Package biobroom_1.10.1.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) biobroom_1.10.1.tgz
Source Repository git clone
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Old Source Packages for BioC 3.6 Source Archive

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