Package: KinSwingR 1.25.0

Ashley J. Waardenberg

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.

Authors:Ashley J. Waardenberg [aut, cre]

KinSwingR_1.25.0.tar.gz
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KinSwingR.pdf |KinSwingR.html
KinSwingR/json (API)
NEWS

# Install 'KinSwingR' in R:
install.packages('KinSwingR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:KinSwingR-1.25.0(bioc 3.21)KinSwingR-1.24.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

proteomicssequencematchingnetwork

4.00 score 4 scripts 197 downloads 1 mentions 5 exports 29 dependencies

Last updated 4 months agofrom:ccf9fe983f. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winOKJan 28 2025
R-4.5-macOKJan 28 2025
R-4.5-linuxOKJan 28 2025
R-4.4-winOKJan 28 2025
R-4.4-macOKJan 28 2025
R-4.3-winOKJan 28 2025
R-4.3-macOKJan 28 2025

Exports:buildPWMcleanAnnotationscoreSequencesswingviewPWM

Dependencies:BHBiocParallelbitbit64blobcachemchronclicodetoolscpp11data.tableDBIfastmapformatRfutile.loggerfutile.optionsgluegsubfnlambda.rlifecyclememoisepkgconfigplogrprotorlangRSQLitesnowsqldfvctrs

KinSwingR: Predicting kinase activity from phosphoproteomics data

Rendered fromKinSwingR.Rmdusingknitr::rmarkdownon Jan 28 2025.

Last update: 2019-04-30
Started: 2018-09-21