JohnsonKinaseData

This is the released version of JohnsonKinaseData; for the devel version, see JohnsonKinaseData.

Kinase PWMs based on data published by Johnson et al. 2023 and Yaron-Barir et al. 2024


Bioconductor version: Release (3.20)

The packages provides position specific weight matrices (PWMs) for 303 human serine/threonine and 93 tyrosine kinases originally published in Johnson et al. 2023 (doi:10.1038/s41586-022-05575-3) and Yaron-Barir et al. 2024 (doi:10.1038/s41586-024-07407-y). The package includes basic functionality to score user provided phosphosites. It also includes pre-computed PWM scores ("background scores") for a large collection of curated human phosphosites which can be used to rank PWM scores relative to the background scores ("percentile rank").

Author: Florian Geier [aut, cre]

Maintainer: Florian Geier <florian.geier at unibas.ch>

Citation (from within R, enter citation("JohnsonKinaseData")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("JohnsonKinaseData")

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("JohnsonKinaseData")
JohnsonKinaseData HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews ExperimentData, ExperimentHub, Homo_sapiens_Data, Proteome
Version 1.2.0
License MIT + file LICENSE
Depends
Imports ExperimentHub, BiocParallel, checkmate, dplyr, stats, stringr, tidyr, purrr, utils
System Requirements
URL https://github.com/fgeier/JohnsonKinaseData/
Bug Reports https://support.bioconductor.org/t/JohnsonKinaseData
See More
Suggests knitr, BiocStyle, ExperimentHubData, testthat (>= 3.0.0), rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
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Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package JohnsonKinaseData_1.2.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/JohnsonKinaseData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/JohnsonKinaseData
Package Short Url https://bioconductor.org/packages/JohnsonKinaseData/
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