biobroom
This is the released version of biobroom; for the devel version, see biobroom.
Turn Bioconductor objects into tidy data frames
Bioconductor version: Release (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("biobroom")):
Installation
To install this package, start R (version "4.4") 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")| Vignette Title | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Proteomics, Regression, Software |
| Version | 1.38.0 |
| 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 | |
| Imports Me | TPP |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | biobroom_1.38.0.tar.gz |
| Windows Binary (x86_64) | biobroom_1.38.0.zip (64-bit only) |
| macOS Binary (x86_64) | biobroom_1.38.0.tgz |
| macOS Binary (arm64) | biobroom_1.38.0.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 |