This repository contains underlying data associated with Zitovsky and Love 2019. All files from this repository are present in a .zip file and are divided into three subfolders: Code, Figures and Data. The Code folder contains the R scripts used to run the analyses described in Zitovsky and Love 2019 and generate all of its figures. The Figures folder contains eps or .png files of all figures present in the main article and supplementary figures section. The Data folder contains the dataset called in the Rscripts, and is included so that the code can be run as is without having to go to additional repositories. If the code of figures from this repository is used to conduct original research leading to published work. please cite the Zitovsky and Love 2019 paper instead of this repository. When using or referring to the dataset, please cite the Crowley et. al. 2015 paper instead of this repository. All files in this repository are available under the terms of the GNU General Public License v3.0 (GPL-3).

{"references": ["Joshua P. Zitovsky and Michael I. Love. Fast Effect Size Shrinkage Software for Beta-Binomial Models of Allelic Imbalance. F1000Research, 2019. https://f1000research.com/articles/8-2024.", "JJ Crowley et. al. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. Nature Genetics 47(4):353\u2013360 25730764 10.1038/ng.3222 4380817"]}