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Analyzing cellular barcoding data is challenging due to the absence of a flexible, complete and easy-to-use set of tools that can help scientists derive biological meaning from these
datasets. barcodetrackR is a promising package for filling this gap in the field. Access through your institution Buy or subscribe This is a preview of subscription content, access via your
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institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Espinoza, D. A., Mortlock, R. D., Koelle, S. J., Wu, C. & Dunbar, C. E. _Nat. Comput. Sci._
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Scholar Download references AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA Jennifer E. Adair & Mark
R. Enstrom * Division of Medical Oncology, University of Washington, Seattle, WA, USA Jennifer E. Adair Authors * Jennifer E. Adair View author publications You can also search for this
author inPubMed Google Scholar * Mark R. Enstrom View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Jennifer E.
Adair. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Adair, J.E.,
Enstrom, M.R. A key toolbox for cellular barcoding analysis. _Nat Comput Sci_ 1, 251–252 (2021). https://doi.org/10.1038/s43588-021-00062-7 Download citation * Published: 26 April 2021 *
Issue Date: April 2021 * DOI: https://doi.org/10.1038/s43588-021-00062-7 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link
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