Package: barcodetrackR
Type: Package
Title: Functions for Analyzing Cellular Barcoding Data
Version: 1.4.0
Date: 2021-02-18
Authors@R: 
    c(person(c("Diego", "Alexander"), "Espinoza", email = "diego.espinoza@pennmedicine.upenn.edu", role = c("aut", "cre")),
      person("Ryland", "Mortlock", email = "ryland.mortlock@nih.gov", role = c("aut")))
Description: 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.
URL: https://github.com/dunbarlabNIH/barcodetrackR
License: file LICENSE
LazyData: FALSE
Encoding: UTF-8
biocViews: Software, Visualization, Sequencing
Imports: cowplot, circlize, dplyr, ggplot2, ggdendro, ggridges,
        graphics, grDevices, magrittr, plyr, proxy, RColorBrewer,
        rlang, scales, shiny, stats, SummarizedExperiment, S4Vectors,
        tibble, tidyr, vegan, viridis, utils
RoxygenNote: 7.1.1
Suggests: BiocStyle, knitr, magick, rmarkdown, testthat
VignetteBuilder: knitr
Depends: R (>= 4.1)
git_url: https://git.bioconductor.org/packages/barcodetrackR
git_branch: RELEASE_3_15
git_last_commit: a72f683
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-26 21:26:24 UTC; biocbuild
Author: Diego Alexander Espinoza [aut, cre],
  Ryland Mortlock [aut]
Maintainer: Diego Alexander Espinoza <diego.espinoza@pennmedicine.upenn.edu>
Built: R 4.2.0; ; 2022-04-27 09:10:24 UTC; windows
