Package: KinSwingR
Type: Package
Title: KinSwingR: network-based kinase activity prediction
Version: 1.29.0
Authors@R: person("Ashley J.", "Waardenberg", email =
    "a.waardenberg@gmail.com", role=c("aut", "cre"))
Description: KinSwingR integrates phosphosite data derived from mass-spectrometry
    data and kinase-substrate predictions to predict kinase activity. Several functions
    allow the user to build PWM models of kinase-subtrates, statistically infer PWM:substrate
    matches, and integrate these data to infer kinase activity.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends:
    R (>= 3.5)
Imports:
    data.table,
    BiocParallel,
    sqldf,
    stats,
    grid,
    grDevices
biocViews: 
    Proteomics,
    SequenceMatching, 
    Network
RoxygenNote: 6.1.0
Suggests: knitr,
    rmarkdown
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/KinSwingR
git_branch: devel
git_last_commit: 3ec41cc
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
