knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The scutrboot
package provides a collection of statistical tools for the analysis
of 3' UTR isoform usage from scRNA-seq data. In particular, it was developed to
accompany the scUTRquant pipeline, working from 3' UTR isoform-level count data
to characterize isoform usage in groups of cells (e.g., clusters, cell types) and
test differential usage across group. The "boot", both refers to the package's
role as the part of the scUTRx suite where the tools are kept and to the
bootstrap-based procedures that are core to the statistical framework.
Get the latest stable R
release from CRAN. Then install scutrboot
from Bioconductor using the following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) { install.packages("BiocManager") } # not available yet # BiocManager::install("scutrboot")
And the development version from GitHub with:
BiocManager::install("mfansler/scutrboot")
Application of the scutrboot
package can be found in
the scUTRquant-figures
repository,
particularly in the notebooks used to generate Figures
4 and
5.
Below is the citation output from using citation('scutrboot')
in R. Please
run this yourself to check for any updates on how to cite scutrboot.
print(citation('scutrboot'), bibtex = TRUE)
Please note that the scutrboot
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 scutrboot
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')
.This package was developed using r BiocStyle::Biocpkg('biocthis')
.
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