KinSwingR

This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see KinSwingR.

KinSwingR: network-based kinase activity prediction

Bioconductor version: 3.18

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")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("KinSwingR")

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

Documentation

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

browseVignettes("KinSwingR")

KinSwingR HTML R Script

Reference Manual PDF

NEWS Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews Network, Proteomics, SequenceMatching, Software

Version 1.20.0

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

System Requirements

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Suggests knitr, rmarkdown

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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package KinSwingR_1.20.0.tar.gz

Windows Binary KinSwingR_1.20.0.zip

macOS Binary (x86_64) KinSwingR_1.20.0.tgz

macOS Binary (arm64) KinSwingR_1.20.0.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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