Package: scBubbletree
Type: Package
Title: Quantitative visual exploration of scRNA-seq data
Version: 1.15.0
Authors@R: 
    person(given = "Simo",  
           family = "Kitanovski",
           role = c("aut", "cre"),
           email = "simokitanovski@gmail.com")
Description: 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.
License: GPL-3 + file LICENSE
Depends: R (>= 4.2.0)
Imports: reshape2, BiocParallel, ape, scales, Seurat, ggplot2, ggtree,
        patchwork, proxy, methods, stats, base, utils, dplyr
Suggests: BiocStyle, knitr, testthat, cluster, SingleCellExperiment
Encoding: UTF-8
NeedsCompilation: no
biocViews: Visualization,Clustering, SingleCell,Transcriptomics,RNASeq
BugReports: https://github.com/snaketron/scBubbletree/issues
URL: https://github.com/snaketron/scBubbletree
SystemRequirements: Python (>= 3.6), leidenalg (>= 0.8.2)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:59:06 UTC
RemoteUrl: https://github.com/bioc/scBubbletree
RemoteRef: HEAD
RemoteSha: d8fd0cb473c279c9ea82eafa5d718071e91fc575
Packaged: 2026-05-30 09:56:07 UTC; root
Author: Simo Kitanovski [aut, cre]
Maintainer: Simo Kitanovski <simokitanovski@gmail.com>
Built: R 4.6.0; ; 2026-05-30 10:41:32 UTC; windows
