This repository contains the analysis code and computational workflows used in the manuscript:
Aleksandra Aljakna Khan1,6, Amalia Sintou1,6, Yue Zhao2,6, Antonios Somarakis2, Harshpreet Chandok2, Juliana Alcoforado Diniz2, Ramalakshmi Ramasamy2, Leon Frommer3, Sikander Hayat3, Mitch Kostich2, Brian White2, Paul Robson2, Ron Korstanje1, Matthew J. Mahoney1,7, Nadia A. Rosenthal1,7
1The Jackson Laboratory, Bar Harbor, ME, USA
2The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
3Department of Medicine 2, RWTH Aachen University, Medical Faculty, Aachen, Germany
4Cardiovascular Research Institute and Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
5Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
6These authors contributed equally
7Co-corresponding authors
Correspondence:
Nadia A. Rosenthal, Matthew J. Mahoney
The Jackson Laboratory
Bar Harbor, ME 04609, USA
This repository provides the computational analysis workflows supporting the results reported in the manuscript. It includes scripts for data preprocessing, statistical analysis, and generation of figures and tables. The repository is intended to ensure transparency and reproducibility of the reported analyses. Raw experimental data are not redistributed here; data access information is provided in the manuscript.
Repository structure:
.
├── data/ # input (not included) and processed outputs
├── src/ # preprocessing, analysis, statistics, utilities
├── requirements.txt
└── README.md
Software requirements include Python version 3.9 or higher and R version 4.2 or higher. Python package dependencies are listed in requirements.txt. R package dependencies are documented at the top of each R script.
R packages should be installed as indicated in the individual analysis scripts using install.packages or BiocManager::install.
Raw experimental data are not included in this repository due to size or data-sharing restrictions. Accession numbers and data availability details are provided in the manuscript. All processed data used in the analyses can be regenerated by running the provided scripts. Public reference datasets and annotations are either included or downloaded automatically by the scripts.
For questions regarding the analysis code, please contact:
Nadia A. Rosenthal
The Jackson Laboratory
Email: [email protected]
Matthew J. Mahoney
The Jackson Laboratory
Email: [email protected]