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("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 | ||
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 | 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 |