KinSwingR: KinSwingR: network-based kinase activity prediction

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.

Package details

AuthorAshley J. Waardenberg [aut, cre]
Bioconductor views Network Proteomics SequenceMatching
MaintainerAshley J. Waardenberg <[email protected]>
LicenseGPL-3
Version1.0.3
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("KinSwingR")

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KinSwingR documentation built on Nov. 13, 2018, 6 p.m.