biobroom
This is thereleased version of biobroom; for the devel version, seebiobroom.
Turn Bioconductor objects into tidy data frames
Bioconductor version: Release (3.22)
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 "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("biobroom")For older versions of R, please refer to the appropriateBioconductor 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 | 1.42.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (10 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
FollowInstallation instructions to use this package in your R session.
| Source Package | biobroom_1.42.0.tar.gz |
| Windows Binary (x86_64) | biobroom_1.42.0.zip |
| macOS Binary (x86_64) | biobroom_1.42.0.tgz |
| macOS Binary (arm64) | biobroom_1.42.0.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 |