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barbieQ

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

Analyze Barcode Data from Clonal Tracking Experiments


Bioconductor version: Development (3.22)

The barbieQ package provides a series of robust statistical tools for analysing barcode count data generated from cell clonal tracking (i.e., lineage tracing) experiments. In these experiments, an initial cell and its offspring collectively form a clone (i.e., lineage). A unique barcode sequence, incorporated into the DNA of the inital cell, is inherited within the clone. This one-to-one mapping of barcodes to clones enables clonal tracking of their behaviors. By counting barcodes, researchers can quantify the population abundance of individual clones under specific experimental perturbations. barbieQ supports barcode count data preprocessing, statistical testing, and visualization.

Author: Liyang Fei [aut, cre] ORCID iD ORCID: 0000-0002-3293-2094

Maintainer: Liyang Fei <liyang.fei at petermac.org>

Citation (from within R, enter citation("barbieQ")):

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("barbieQ")

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

Documentation

Reference Manual PDF

Details

biocViews Preprocessing, Regression, Sequencing, Software, Visualization
Version 0.99.1
In Bioconductor since BioC 3.21 (R-4.5) (< 6 months)
License GPL-3
Depends R (>= 4.5)
Imports magrittr, tidyr, dplyr, grid, circlize, ComplexHeatmap, ggplot2, logistf, limma, stats, igraph, utils, data.table, S4Vectors, SummarizedExperiment
System Requirements
URL https://github.com/Oshlack/barbieQ/issues
Bug Reports https://github.com/Oshlack/barbieQ
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0), BiocStyle
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Package Archives

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

Source Package
Windows Binary (x86_64) barbieQ_0.99.1.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/barbieQ
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/barbieQ
Bioc Package Browser https://code.bioconductor.org/browse/barbieQ/
Package Short Url https://bioconductor.org/packages/barbieQ/
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