Package: scBubbletree
Type: Package
Title: Quantitative visual exploration of scRNA-seq data
Version: 1.13.0
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 libfontconfig1-dev libfreetype6-dev
        libglpk-dev make libicu-dev libpng-dev libxml2-dev libssl-dev
        python3 zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 15:19:00 UTC
RemoteUrl: https://github.com/bioc/scBubbletree
RemoteRef: HEAD
RemoteSha: 7ad7e1e4ffc20ea3d5d8615a84523ecc84e134b2
Packaged: 2026-02-08 08:41:31 UTC; root
Author: Simo Kitanovski [aut, cre]
Maintainer: Simo Kitanovski <simokitanovski@gmail.com>
Built: R 4.6.0; ; 2026-02-08 08:43:31 UTC; windows
