This package is part of the Reproducible processing of TCGA regulatory networks paper available on BioRxiv
NetworkDataCompanionis an R library of utilities for performing analyses on TCGA and GTEx data using the Network ZooNetworkDataCompanionis also the engine behind the tcga-data-nf workflow- The code for
tcga-data-nfis available in the QuackenbushLab GitHub: https://github.com/QuackenbushLab/tcga-data-nf
You can install this package with devtools using the following code:
library(devtools)
devtools::install_github("QuackenbushLab/NetworkDataCompanion")
library(NetworkDataCompanion)
If you want to work with the source, you can also clone the repository and install it from the root directory locally once you have done so.
library(devtools)
devtools::install() # provided you are in the project folder
library(NetworkDataCompanion) We have noticed that sometimes the following packages may require separate installation: "GenomicDataCommons", "edgeR", "recount", "recount3". If you have problems with these, please raise an issue here: https://github.com/QuackenbushLab/NetworkDataCompanion/issues or directly and/contact the maintainer (Kate Shutta, kshutta at hsph.harvard.edu).
- A quickstart guide is located in the base directory (
quickstart.Rmdandquickstart.html). - You can view the rendered html of the quickstart here: NetworkDataCompanion Quickstart
- Example usage of all functions is also available in the unit tests: https://github.com/QuackenbushLab/NetworkDataCompanion/tree/main/tests/testthat
Rcontains the source code of our functions.testscontains extensive tests of the implemented functions.instcontains external data needed to run the analyses on TCGA and GTEx (e.g., gene mapping files)manis used to generate documentation.
@article{fanfani2024reproducible,
title={Reproducible processing of TCGA regulatory networks},
author={Fanfani, Viola and Shutta, Katherine H and Mandros, Panagiotis and Fischer, Jonas and Saha, Enakshi and Micheletti, Soel and Chen, Chen and Ben Guebila, Marouen and Lopes-Ramos, Camila Miranda and Quackenbush, John},
journal={bioRxiv},
pages={2024--11},
year={2024},
publisher={Cold Spring Harbor Laboratory}
}If you find this package useful, feel free to star this repository!
