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barbieQ

Analyze Barcode Data from Clonal Tracking Experiments

Bioconductor version: 3.24 · Package version: 1.5.0

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.

Installation

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

BiocManager::install("barbieQ")

Details

MaintainerLiyang Fei <liyang.fei@petermac.org>
AuthorLiyang Fei [aut, cre] (ORCID: <https://orcid.org/0000-0002-3293-2094>)
LicenseGPL-3
URLhttps://github.com/Oshlack/barbieQ/issues
Bug Reportshttps://github.com/Oshlack/barbieQ
Downloads rank324
Source branchdevel
biocViewsPreprocessing, Regression, Sequencing, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagebarbieQ_1.5.0.tar.gz
Windows binary (x86_64)barbieQ_1.5.0.zip
macOS binary (arm64)barbieQ_1.5.0.tgz
macOS binary (x86_64)barbieQ_1.5.0.tgz
Dependencies

Depends: R (>= 4.5)

Imports: magrittr, tidyr, dplyr, grid, circlize, ComplexHeatmap, ggplot2, logistf, limma, stats, igraph, utils, data.table, S4Vectors, SummarizedExperiment

Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BiocStyle