knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The aim of dasper
is to detect aberrant splicing events from RNA-seq data. By comparing patient RNA-seq data to a set of controls, dasper
will score each splicing event in the patient representing the degree to which that splicing event looks abnormal. For a detailed guide on the usage of dasper
, check out the vignette here.
Get the latest stable R
release from CRAN. Then install dasper
using from Bioconductor the following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) { install.packages("BiocManager") } BiocManager::install("dasper")
And the development version from GitHub with:
BiocManager::install("dzhang32/dasper")
Below is the citation output from using citation('dasper')
in R. Please
run this yourself to check for any updates on how to cite dasper.
print(citation("dasper"), bibtex = TRUE)
Please note that the dasper
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 dasper
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')
, r BiocStyle::Githubpkg('r-hub/sysreqs')
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.
In particular, I am very grateful to Leo for his time and advice throughout the development of dasper
. The transition of dasper
Bioconductor-friendly package was made possible thanks to his r BiocStyle::Githubpkg('lcolladotor/biocthis')
package.
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