awaardenberg/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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Network Proteomics SequenceMatching |
| Maintainer | |
| License | GPL-3 |
| Version | 1.1.4 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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