biobroom

DOI: 10.18129/B9.bioc.biobroom    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see biobroom.

Turn Bioconductor objects into tidy data frames

Bioconductor version: 3.15

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 princeton.edu>

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

Installation

To install this package, start R (version "4.2") and enter:

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

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")

 

HTML R Script Vignette Title
PDF   Reference Manual
Text   NEWS

Details

biocViews DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Proteomics, Regression, Software
Version 1.28.0
In Bioconductor since BioC 3.2 (R-3.2) (7 years)
License LGPL
Depends R (>= 3.0.0), broom
Imports dplyr, tidyr, Biobase
LinkingTo
Suggests limma, DESeq2, airway, ggplot2, plyr, GenomicRanges, testthat, magrittr, edgeR, qvalue, knitr, data.table, MSnbase, rmarkdown, SummarizedExperiment
SystemRequirements
Enhances
URL https://github.com/StoreyLab/biobroom
BugReports https://github.com/StoreyLab/biobroom/issues
Depends On Me
Imports Me TPP
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package biobroom_1.28.0.tar.gz
Windows Binary biobroom_1.28.0.zip
macOS Binary (x86_64) biobroom_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/biobroom
Source Repository (Developer Access) git clone [email protected]:packages/biobroom
Package Short Url https://bioconductor.org/packages/biobroom/
Package Downloads Report Download Stats

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