KinSwingR

DOI: 10.18129/B9.bioc.KinSwingR    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see KinSwingR.

KinSwingR: network-based kinase activity prediction

Bioconductor version: 3.13

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

HTML	R Script	KinSwingR
PDF		Reference Manual
Text		NEWS

Details

biocViews	Network, Proteomics, SequenceMatching, Software
Version	1.10.0
In Bioconductor since	BioC 3.8 (R-3.5) (3 years)
License	GPL-3
Depends	R (>= 3.5)
Imports	data.table, BiocParallel, sqldf, stats, grid, grDevices
LinkingTo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	KinSwingR_1.10.0.tar.gz
Windows Binary	KinSwingR_1.10.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	KinSwingR_1.10.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/KinSwingR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/KinSwingR
Package Short Url	https://bioconductor.org/packages/KinSwingR/
Package Downloads Report	Download Stats