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barcodetrackR

Functions for Analyzing Cellular Barcoding Data

Bioconductor version: 3.23 · Package version: 1.20.0

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.

DOI: 10.18129/B9.bioc.barcodetrackR

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("barcodetrackR")

Details

MaintainerDiego Alexander Espinoza <diego.espinoza@pennmedicine.upenn.edu>
AuthorDiego Alexander Espinoza [aut, cre], Ryland Mortlock [aut]
Licensefile LICENSE
URLhttps://github.com/dunbarlabNIH/barcodetrackR
StatusDeprecated
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsSequencing, Software, Visualization
Package Short Url https://bioconductor.org/packages/barcodetrackR/

Citation

From within R, enter citation("barcodetrackR"):

Diego Alexander Espinoza, Ryland Mortlock. barcodetrackR: Functions for Analyzing Cellular Barcoding Data. doi:10.18129/B9.bioc.barcodetrackR, R package version 1.20.0, https://bioconductor.org/packages/barcodetrackR.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Dependencies

Depends: R (>= 4.1)

Imports: cowplot, circlize, dplyr, ggplot2, ggdendro, ggridges, graphics, grDevices, magrittr, plyr, proxy, RColorBrewer, rlang, scales, shiny, stats, SummarizedExperiment, S4Vectors, tibble, tidyr, vegan, viridis, utils

Suggests: BiocStyle, knitr, magick, rmarkdown, testthat