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Bioconductor 3.22 Released

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scBubbletree

This is thereleased version of scBubbletree; for the devel version, seescBubbletree.

Quantitative visual exploration of scRNA-seq data

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DOI: 10.18129/B9.bioc.scBubbletree


Bioconductor version: Release (3.22)

scBubbletree is a quantitative method for the visual exploration of scRNA-seq data, preserving key biological properties such as local and global cell distances and cell density distributions across samples. It effectively resolves overplotting and enables the visualization of diverse cell attributes from multiomic single-cell experiments. Additionally, scBubbletree is user-friendly and integrates seamlessly with popular scRNA-seq analysis tools, facilitating comprehensive and intuitive data interpretation.

Author: Simo Kitanovski [aut, cre]

Maintainer: Simo Kitanovski <simokitanovski at gmail.com>

Citation (from within R, entercitation("scBubbletree")):

Installation

To install this package, start R (version "4.5") and enter:

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

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("scBubbletree")
User Manual: scBubbletreeHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClustering,RNASeq,SingleCell,Software,Transcriptomics,Visualization
Version1.12.0
In Bioconductor sinceBioC 3.16 (R-4.2) (3 years)
LicenseGPL-3 + fileLICENSE
DependsR (>= 4.2.0)
Importsreshape2,BiocParallel,ape,scales,Seurat,ggplot2,ggtree,patchwork,proxy, methods, stats, base, utils,dplyr
System RequirementsPython (>= 3.6), leidenalg (>= 0.8.2)
URLhttps://github.com/snaketron/scBubbletree
Bug Reportshttps://github.com/snaketron/scBubbletree/issues
See More
SuggestsBiocStyle,knitr,testthat,cluster,SingleCellExperiment
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescBubbletree_1.12.0.tar.gz
Windows Binary (x86_64) scBubbletree_1.12.0.zip (64-bit only)
macOS Binary (x86_64)scBubbletree_1.12.0.tgz
macOS Binary (arm64)scBubbletree_1.12.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scBubbletree
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scBubbletree
Bioc Package Browserhttps://code.bioconductor.org/browse/scBubbletree/
Package Short Urlhttps://bioconductor.org/packages/scBubbletree/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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