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.
Maintainer: Liyang Fei <liyang.fei at petermac.org>
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 |
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 |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
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Build Report | Build Report |
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/ |
Package Downloads Report | Download Stats |