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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.

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")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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

Reference Manual PDF

Details

biocViews Sequencing, Software, Visualization
Version 1.20.0
In Bioconductor since BioC 3.13 (R-4.1) (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
URL https://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 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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