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barcodetrackR

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.23 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see barcodetrackR.

All versions 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Functions for Analyzing Cellular Barcoding Data


Bioconductor version: Release (3.23)

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")):

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.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("barcodetrackR")

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

Documentation

No vignettes available
Reference ManualPDF

Details

biocViews Sequencing, Software, Visualization
Version1.20.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 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
URLhttps://github.com/dunbarlabNIH/barcodetrackR
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Suggests BiocStyle, knitr, magick, rmarkdown, testthat
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit 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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