The REPAC R package implements the method described in Imada et al. to test for differential Polyadenylation Usage (DPU).
Get the latest stable R release from
CRAN. Then run the following code:
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")
}
devtools::install_github('eddieimada/REPAC')Below is the citation output from using citation('REPAC') in R. Please
run this yourself to check for any updates on how to cite REPAC.
print(citation('REPAC'), bibtex = TRUE)
#>
#> Imada EL, Wilks C, Langmead B, Marchionni L (2022). "Unleashing
#> alternative polyadenylation analyses with REPAC." _bioRxiv_. doi:
#> 10.1101/2022.03.14.484280 (URL:
#> https://doi.org/10.1101/2022.03.14.484280), <URL:
#> https://www.biorxiv.org/content/10.1101/2022.03.14.484280>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> title = {REPAC: analysis of alternative polyadenylation from RNA-sequencing data},
#> author = {Eddie L. Imada and Christopher Wilks and Ben Langmead and Luigi Marchionni},
#> year = {2023},
#> journal = {Genome Biology},
#> doi = {10.1186/s13059-023-02865-5},
#> url = {https://link.springer.com/article/10.1186/s13059-023-02865-5},
#> }