Package: CellBarcode
Type: Package
Title: Cellular DNA Barcode Analysis toolkit
Version: 1.6.0
Authors@R: c(
  person("Wenjie", "Sun", email = "sunwjie@gmail.com", role = "cre"),
  person("Anne-Marie", "Lyne", email = "Anne-Marie.Lyne@curie.fr", role = "aut"),
  person("Leila", "Perie", email = "leila.perie@curie.fr", role = "aut")
  )
Description: 
  This package performs Cellular DNA Barcode (genetic lineage tracing) analysis.
  The package can handle all kinds of DNA barcodes, as long as the barcode
  within a single sequencing read and has a pattern which can be matched by a
  regular expression. This package can handle barcode with flexible length, with
  or without UMI (unique molecular identifier). This tool also can be used for
  pre-processing of some amplicon sequencing such as CRISPR gRNA screening, immune
  repertoire sequencing and meta genome data.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: methods, stats, Rcpp (>= 1.0.5), data.table (>= 1.12.6), plyr,
        ggplot2, stringr, magrittr, ShortRead (>= 1.48.0), Biostrings
        (>= 2.58.0), egg, Ckmeans.1d.dp, utils, S4Vectors, seqinr,
        zlibbioc
LinkingTo: Rcpp, BH
RoxygenNote: 7.2.1
Suggests: BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown
biocViews: Preprocessing, QualityControl, Sequencing, CRISPR
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
git_url: https://git.bioconductor.org/packages/CellBarcode
git_branch: RELEASE_3_17
git_last_commit: 53dc39e
git_last_commit_date: 2023-04-25
Date/Publication: 2023-04-25
Packaged: 2023-04-26 00:56:28 UTC; biocbuild
Author: Wenjie Sun [cre],
  Anne-Marie Lyne [aut],
  Leila Perie [aut]
Maintainer: Wenjie Sun <sunwjie@gmail.com>
Built: R 4.3.0; x86_64-w64-mingw32; 2023-04-26 15:22:54 UTC; windows
Archs: x64
