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
KinSwingR_1.25.0.zip(r-4.5)KinSwingR_1.25.0.zip(r-4.4)KinSwingR_1.25.0.zip(r-4.3)
KinSwingR_1.25.0.tgz(r-4.4-any)KinSwingR_1.25.0.tgz(r-4.3-any)
KinSwingR_1.25.0.tar.gz(r-4.5-noble)KinSwingR_1.25.0.tar.gz(r-4.4-noble)
KinSwingR_1.25.0.tgz(r-4.4-emscripten)KinSwingR_1.25.0.tgz(r-4.3-emscripten)
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'))

Peer review:

Datasets:

On BioConductor:KinSwingR-1.23.0(bioc 3.20)KinSwingR-1.22.0(bioc 3.19)

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 156 downloads 1 mentions 5 exports 29 dependencies

Last updated 23 days agofrom:ccf9fe983f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winOKOct 30 2024
R-4.5-linuxOKOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:buildPWMcleanAnnotationscoreSequencesswingviewPWM

Dependencies:BHBiocParallelbitbit64blobcachemchronclicodetoolscpp11data.tableDBIfastmapformatRfutile.loggerfutile.optionsgluegsubfnlambda.rlifecyclememoisepkgconfigplogrprotorlangRSQLitesnowsqldfvctrs

KinSwingR: Predicting kinase activity from phosphoproteomics data

Ashley J. Waardenberg

Rendered fromKinSwingR.Rmdusingknitr::rmarkdownon Oct 30 2024.

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