KinSwingR
KinSwingR: network-based kinase activity prediction
Bioconductor version: 3.23 · Package version: 1.30.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("KinSwingR")Details
| Maintainer | Ashley J. Waardenberg <a.waardenberg@gmail.com> |
| Author | Ashley J. Waardenberg [aut, cre] |
| License | GPL-3 |
| Downloads rank | 400 |
| Source branch | RELEASE_3_23 |
| biocViews | Network, Proteomics, SequenceMatching, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | KinSwingR_1.30.0.tar.gz |
| Windows binary (x86_64) | KinSwingR_1.30.0.zip |
| macOS binary (arm64) | KinSwingR_1.30.0.tgz |
| macOS binary (x86_64) | KinSwingR_1.30.0.tgz |