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This is the development version of KinSwingR; for the stable release version, see KinSwingR.

KinSwingR: network-based kinase activity prediction

Bioconductor version: Development (3.19)

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.

Author: Ashley J. Waardenberg [aut, cre]

Maintainer: Ashley J. Waardenberg <a.waardenberg at gmail.com>

Citation (from within R, enter citation("KinSwingR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

KinSwingR HTML R Script
Reference Manual PDF


biocViews Network, Proteomics, SequenceMatching, Software
Version 1.21.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL-3
Depends R (>= 3.5)
Imports data.table, BiocParallel, sqldf, stats, grid, grDevices
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Suggests knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package KinSwingR_1.21.0.tar.gz
Windows Binary KinSwingR_1.21.0.zip (64-bit only)
macOS Binary (x86_64) KinSwingR_1.21.0.tgz
macOS Binary (arm64) KinSwingR_1.21.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/KinSwingR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/KinSwingR
Bioc Package Browser https://code.bioconductor.org/browse/KinSwingR/
Package Short Url https://bioconductor.org/packages/KinSwingR/
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