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Bioconductor - barcodetrackR (development version)

barcodetrackR

This is the development version of barcodetrackR; for the stable release version, see barcodetrackR.

Functions for Analyzing Cellular Barcoding Data

Bioconductor version: Development (3.22)

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.

Author: Diego Alexander Espinoza [aut, cre], Ryland Mortlock [aut]

Maintainer: Diego Alexander Espinoza <diego.espinoza at pennmedicine.upenn.edu>

Citation (from within R, enter citation("barcodetrackR")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("barcodetrackR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("barcodetrackR")
Details biocViews Sequencing, Software, Visualization Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License file LICENSE 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 System Requirements URL https://github.com/dunbarlabNIH/barcodetrackR See More Package Archives

Follow Installation instructions to use this package in your R session.

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