LieberInstitute / jaffelab

R package with commonly used functions by the Jaffe lab
http://lieberinstitute.github.io/jaffelab
7 stars 3 forks source link
libd rnaseq rstats

jaffelab

Lifecycle:
stable Codecov test
coverage R build
status GitHub
issues GitHub
pulls DOI

jaffelab is a package initially developed by Andrew E Jaffe’s team at the Lieber Institute for Brain Development. It contains several helper functions used in their analyses.

Installation instructions

Get the latest stable R release from CRAN. Then install jaffelab using the following code:

if (!requireNamespace("BiocManager", quietly = TRUE)) {
    install.packages("BiocManager")
}

BiocManager::install("LieberInstitute/jaffelab")

Citation

Below is the citation output from using citation('jaffelab') in R. Please run this yourself to check for any updates on how to cite jaffelab.

print(citation("jaffelab"), bibtex = TRUE)
#> To cite package 'jaffelab' in publications use:
#> 
#>   Collado-Torres L, Jaffe AE, Burke EE (2024). _jaffelab: Commonly used
#>   functions by the Jaffe lab_. R package version 0.99.34,
#>   <https://github.com/LieberInstitute/jaffelab>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {jaffelab: Commonly used functions by the Jaffe lab},
#>     author = {Leonardo Collado-Torres and Andrew E. Jaffe and Emily E. Burke},
#>     year = {2024},
#>     note = {R package version 0.99.34},
#>     url = {https://github.com/LieberInstitute/jaffelab},
#>   }

Please note that the jaffelab 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.

Code of Conduct

Please note that the jaffelab project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Development tools

For more details, check the dev directory.

This package was developed using biocthis.