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barcodetrackR

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

Functions for Analyzing Cellular Barcoding Data


Bioconductor version: Development (3.19)

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 "4.4") 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

Reference Manual PDF

Details

biocViews Sequencing, Software, Visualization
Version 1.11.0
In Bioconductor since BioC 3.13 (R-4.1) (3 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
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Suggests BiocStyle, knitr, magick, rmarkdown, testthat
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/barcodetrackR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/barcodetrackR
Package Short Url https://bioconductor.org/packages/barcodetrackR/
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