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 al1.
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.
- Continuous code testing is possible thanks to GitHub actions through usethis, remotes, and rcmdcheck customized to use Bioconductor’s docker containers and BiocCheck.
- Code coverage assessment is possible thanks to codecov and covr.
- The documentation website is automatically updated thanks to pkgdown.
- The code is styled automatically thanks to styler.
- The documentation is formatted thanks to devtools and roxygen2.
For more details, check the dev
directory.
This package was developed using biocthis.
Footnotes
-
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 ↩