Package: scBubbletree Type: Package Title: Quantitative visual exploration of scRNA-seq data Version: 1.14.0 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: Bioconductor 3.23 Date/Publication: 2026-04-28 12:59:06 UTC RemoteUrl: https://github.com/bioc/scBubbletree RemoteRef: RELEASE_3_23 RemoteSha: 9b62c0acae7b236205da290926bda56c53343870 Packaged: 2026-09-19 08:41:38 UTC; root Author: Simo Kitanovski [aut, cre] Maintainer: Simo Kitanovski