Bioconductor version: Release (3.17)
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")
):
To install this package, start R (version "4.3") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("KinSwingR")
HTML | R Script | KinSwingR |
Reference Manual | ||
Text | NEWS |
biocViews | Network, Proteomics, SequenceMatching, Software |
Version | 1.18.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (5 years) |
License | GPL-3 |
Depends | R (>= 3.5) |
Imports | data.table, BiocParallel, sqldf, stats, grid, grDevices |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | KinSwingR_1.18.0.tar.gz |
Windows Binary | KinSwingR_1.18.0.zip |
macOS Binary (x86_64) | KinSwingR_1.18.0.tgz |
macOS Binary (arm64) | KinSwingR_1.18.0.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 |
Old Source Packages for BioC 3.17 | Source Archive |
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