KinSwingR

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

KinSwingR: network-based kinase activity prediction


Bioconductor version: Development (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Details

biocViews Network, Proteomics, SequenceMatching, Software
Version 1.25.0
In Bioconductor since BioC 3.8 (R-3.5) (6 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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Package Archives

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

Source Package KinSwingR_1.25.0.tar.gz
Windows Binary (x86_64) KinSwingR_1.25.0.zip
macOS Binary (x86_64) KinSwingR_1.25.0.tgz
macOS Binary (arm64) KinSwingR_1.25.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/KinSwingR
Source Repository (Developer Access) git clone [email protected]:packages/KinSwingR
Bioc Package Browser https://code.bioconductor.org/browse/KinSwingR/
Package Short Url https://bioconductor.org/packages/KinSwingR/
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