doi:10.1093/nar/gku081>) and freely choosable barcode designs from next generation sequence (NGS) data. Furthermore, it offers the possibility to account for sequence errors, the calculation of barcode similarities and provides a variety of visualisation tools (Thielecke, L. et al. (2017) <doi:10.1038/srep43249>).">

genBaRcode: Analysis and Visualization Tools for Genetic Barcode Data (original) (raw)

Provides the necessary functions to identify and extract a selection of already available barcode constructs (Cornils, K. et al. (2014) <doi:10.1093/nar/gku081>) and freely choosable barcode designs from next generation sequence (NGS) data. Furthermore, it offers the possibility to account for sequence errors, the calculation of barcode similarities and provides a variety of visualisation tools (Thielecke, L. et al. (2017) <doi:10.1038/srep43249>).

Version: 1.2.8
Depends: R (≥ 3.4)
Imports: methods, RColorBrewer, ape, ggnetwork, ggplot2, ggraph, igraph, network, phangorn, stringdist, visNetwork, reshape2, S4Vectors, shiny, ggtree, dplyr, VennDiagram, futile.logger, future, future.apply, tools, ShortRead, Biostrings
Suggests: BiocManager, testthat, knitr, rmarkdown
Published: 2025-03-10
DOI: 10.32614/CRAN.package.genBaRcode
Author: Lars Thielecke [aut, cre]
Maintainer: Lars Thielecke <lars.thielecke at tu-dresden.de>
License: LGPL-2 | LGPL-2.1 LGPL-3 [expanded from: LGPL]
NeedsCompilation: no
CRAN checks: genBaRcode results

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