Package: KinSwingR 1.31.0

Ashley J. Waardenberg

KinSwingR: KinSwingR: network-based kinase activity prediction

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.

Authors:Ashley J. Waardenberg [aut, cre]

KinSwingR_1.31.0.tar.gz
KinSwingR_1.31.0.zip(r-4.7)KinSwingR_1.31.0.zip(r-4.6)KinSwingR_1.31.0.zip(r-4.5)
KinSwingR_1.31.0.tgz(r-4.6-any)KinSwingR_1.31.0.tgz(r-4.5-any)
KinSwingR_1.31.0.tar.gz(r-4.7-any)KinSwingR_1.31.0.tar.gz(r-4.6-any)
KinSwingR_1.31.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
KinSwingR/json (API)
NEWS

# Install 'KinSwingR' in R:
install.packages('KinSwingR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:KinSwingR-1.31.0(bioc 3.24)KinSwingR-1.30.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

proteomicssequencematchingnetwork

4.00 score 7 scripts 303 downloads 1 mentions 5 exports 28 dependencies

Last updated from:b1c20f9c17. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE132
linux-devel-x86_64OK163
source / vignettesOK182
linux-release-x86_64OK306
macos-release-arm64OK91
macos-oldrel-arm64OK95
windows-develOK136
windows-releaseOK105
windows-oldrelOK111
wasm-releaseOK110

Exports:buildPWMcleanAnnotationscoreSequencesswingviewPWM

Dependencies:BHBiocParallelbitbit64blobcachemchronclicodetoolscpp11data.tableDBIfastmapformatRfutile.loggerfutile.optionsgluegsubfnlambda.rlifecyclememoisepkgconfigprotorlangRSQLitesnowsqldfvctrs

KinSwingR: Predicting kinase activity from phosphoproteomics data

Ashley J. Waardenberg

Rendered fromKinSwingR.Rmdusingknitr::rmarkdownon Jun 10 2026.

Last update: 2019-04-30
Started: 2018-09-21