knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
KinaseTauScore
is a data package that allows access to a curated dataset of phsophorylation profiles of human kinases on the 𝛕-protein in an Alzhemier Disease context. The data is derived from the paper High-content siRNA screening of the kinome identifies kinases involved in Alzheimer's disease-related tau hyperphosphorylation
by Azorsa et al^1.
Azorsa DO, Robeson RH, Frost D, et al. High-content siRNA screening of the kinome identifies kinases involved in Alzheimer’s disease-related tau hyperphosphorylation. BMC Genomics. 2010;11(1):25. <doi:10.1186/1471-2164-11-25>
Get the latest stable R
release from CRAN. Then install KinaseTauScore
from Bioconductor using the following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) { install.packages("BiocManager") } BiocManager::install("KinaseTauScore")
And the development version from GitHub with:
BiocManager::install("CogDisResLab/KinaseTauScore")
Below is the citation output from using citation('KinaseTauScore')
in R. Please run this yourself to check for any updates on how to cite KinaseTauScore.
print(citation('KinaseTauScore'), bibtex = TRUE)
Please note that the KinaseTauScore
was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.
Please note that the KinaseTauScore
project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
r BiocStyle::CRANpkg('usethis')
, r BiocStyle::CRANpkg('remotes')
, and r BiocStyle::CRANpkg('rcmdcheck')
customized to use Bioconductor's docker containers and r BiocStyle::Biocpkg('BiocCheck')
.r BiocStyle::CRANpkg('covr')
.r BiocStyle::CRANpkg('pkgdown')
.r BiocStyle::CRANpkg('styler')
.r BiocStyle::CRANpkg('devtools')
and r BiocStyle::CRANpkg('roxygen2')
.For more details, check the dev
directory.
This package was developed using r BiocStyle::Biocpkg('biocthis')
.
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