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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "barcodetrackR" in publications use:'
type: software
title: 'barcodetrackR: Functions for Analyzing Cellular Barcoding Data'
version: 1.13.0
doi: 10.1101/2020.07.23.212787
abstract: barcodetrackR is an R package developed for the analysis and visualization
  of clonal tracking data. Data required is samples and tag abundances in matrix form.
  Usually from cellular barcoding experiments, integration site retrieval analyses,
  or similar technologies.
authors:
- family-names: Espinoza
  given-names: Diego Alexander
  email: diego.espinoza@pennmedicine.upenn.edu
- family-names: Mortlock
  given-names: Ryland
  email: ryland.mortlock@nih.gov
preferred-citation:
  type: article
  title: 'barcodetrackR: an R package for the interrogation of clonal tracking data'
  authors:
  - family-names: Espinoza
    given-names: Diego A.
  - family-names: Mortlock
    given-names: Ryland D.
  - family-names: Koelle
    given-names: Samson J.
  - family-names: Wu
    given-names: Chuanfeng
  - family-names: Dunbar
    given-names: Cynthia E.
  journal: bioRxiv
  year: '2020'
  doi: 10.1101/2020.07.23.212787
  url: https://doi.org/10.1101/2020.07.23.212787
repository: https://bioc.r-universe.dev
repository-code: https://github.com/dunbarlabNIH/barcodetrackR
url: https://github.com/dunbarlabNIH/barcodetrackR
date-released: '2021-02-18'
contact:
- family-names: Espinoza
  given-names: Diego Alexander
  email: diego.espinoza@pennmedicine.upenn.edu