KinSwingR

DOI: 10.18129/B9.bioc.KinSwingR    

KinSwingR: network-based kinase activity prediction

Bioconductor version: Release (3.15)

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 "4.2") 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")

 

HTML R Script KinSwingR
PDF   Reference Manual
Text   NEWS

Details

biocViews Network, Proteomics, SequenceMatching, Software
Version 1.14.0
In Bioconductor since BioC 3.8 (R-3.5) (4 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_1.14.0.tar.gz
Windows Binary KinSwingR_1.14.0.zip
macOS Binary (x86_64) KinSwingR_1.14.0.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

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