Package: biobroom
Title: Turn Bioconductor objects into tidy data frames
Version: 1.43.0
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
git_url: https://git.bioconductor.org/packages/biobroom
git_branch: devel
git_last_commit: 825b1c8
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
