biobroom

This is the development version of biobroom; for the stable release version, see biobroom.

Turn Bioconductor objects into tidy data frames


Bioconductor version: Development (3.20)

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 princeton.edu> and Andrew J. Bass <ajbass at emory.edu>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("biobroom")

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("biobroom")
Vignette Title HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Proteomics, Regression, Software
Version 1.37.0
In Bioconductor since BioC 3.2 (R-3.2) (9 years)
License LGPL
Depends R (>= 3.0.0), broom
Imports dplyr, tidyr, Biobase
System Requirements
URL https://github.com/StoreyLab/biobroom
Bug Reports https://github.com/StoreyLab/biobroom/issues
See More
Suggests limma, DESeq2, airway, ggplot2, plyr, GenomicRanges, testthat, magrittr, edgeR, qvalue, knitr, data.table, MSnbase, rmarkdown, SummarizedExperiment
Linking To
Enhances
Depends On Me
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Package Archives

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

Source Package biobroom_1.37.0.tar.gz
Windows Binary (x86_64) biobroom_1.37.0.zip (64-bit only)
macOS Binary (x86_64) biobroom_1.37.0.tgz
macOS Binary (arm64) biobroom_1.37.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/biobroom
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/biobroom
Bioc Package Browser https://code.bioconductor.org/browse/biobroom/
Package Short Url https://bioconductor.org/packages/biobroom/
Package Downloads Report Download Stats