KinSwingR

KinSwingR: network-based kinase activity prediction


Bioconductor version: Release (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")):

Installation

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

Details

biocViews Network, Proteomics, SequenceMatching, Software
Version 1.22.0
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
System Requirements
URL
See More
Suggests knitr, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package KinSwingR_1.22.0.tar.gz
Windows Binary (x86_64) KinSwingR_1.22.0.zip (64-bit only)
macOS Binary (x86_64) KinSwingR_1.22.0.tgz
macOS Binary (arm64) KinSwingR_1.22.0.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/
Package Downloads Report Download Stats