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barcodetrackR

barcodetrackR is an R package developed for the analysis and visualization of clonal tracking data from cellular barcoding experiments.

The R package and functions were created by Diego A. Espinoza, Ryland D. Mortlock, Samson J. Koelle, and others at Cynthia Dunbar's laboratory at the National Heart, Lung, and Blood Institutes of Health.

Installation

Three options for installation are available. For the most recent version of the package, install from GitHub using remotes or devtools. For stable versions of the package, see Bioconductor/Zenodo.

1) GitHub installation

remotes::install_github("d93espinoza/barcodetrackR")

2) Bioconductor installation

barcodetrackR Bioconductor page

BiocManager::install("barcodetrackR")

3) Zenodo installation

DOI

# v0.99.3 was frozen on Zenodo on 2021-03-16, prior to publication and can be accessed using the above DOI badge.

Usage, and Documentation

Examples and documentation are available at: http://dunbarlabNIH.github.io/barcodetrackR/

Our preprint is available on bioRxiv

Web App

To run the barcodetrackR app from the web, please visit: https://dunbarlabnih.shinyapps.io/barcode_app/

Issues

Issues should be addressed to: https://github.com/dunbarlabNIH/barcodetrackR/issues

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barcodetrackR: an R package and app for tracking cellular barcode experiments.

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