barbieQ
This is thereleased version of barbieQ; for the devel version, seebarbieQ.
Analyze Barcode Data from Clonal Tracking Experiments
Bioconductor version: Release (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: 0000-0002-3293-2094
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")BiocManager::install("barbieQ")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("barbieQ")| Quick start to barbieQ | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Preprocessing,Regression,Sequencing,Software,Visualization |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.21 (R-4.5) (0.5 years) |
| 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 | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | barbieQ_1.2.0.tar.gz |
| Windows Binary (x86_64) | barbieQ_1.2.0.zip (64-bit only) |
| macOS Binary (x86_64) | barbieQ_1.2.0.tgz |
| macOS Binary (arm64) | barbieQ_1.2.0.tgz |
| 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 |