Package: biobroom
Title: Turn Bioconductor objects into tidy data frames
Version: 1.42.0
Author: Andrew J. Bass, David G. Robinson, Steve Lianoglou, Emily
        Nelson, John D. Storey, with contributions from Laurent Gatto
Maintainer: John D. Storey <jstorey@princeton.edu> and Andrew J. Bass
 <ajbass@emory.edu>
Description: 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.
biocViews: MultipleComparison, DifferentialExpression, Regression,
        GeneExpression, Proteomics, DataImport
Depends: R (>= 3.0.0), broom
License: LGPL
LazyData: true
Imports: dplyr, tidyr, Biobase
Suggests: limma, DESeq2, airway, ggplot2, plyr, GenomicRanges,
        testthat, magrittr, edgeR, qvalue, knitr, data.table, MSnbase,
        rmarkdown, SummarizedExperiment
VignetteBuilder: knitr
URL: https://github.com/StoreyLab/biobroom
BugReports: https://github.com/StoreyLab/biobroom/issues
RoxygenNote: 5.0.1
Config/pak/sysreqs: libicu-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:28:32 UTC
RemoteUrl: https://github.com/bioc/biobroom
RemoteRef: RELEASE_3_22
RemoteSha: 3f4802cbcbdb9945b08078bd103dcf2e1ef0b886
NeedsCompilation: no
Packaged: 2026-01-24 07:28:15 UTC; root
Built: R 4.5.2; ; 2026-01-24 07:29:58 UTC; windows
