Package: scDotPlot Title: Cluster a Single-cell RNA-seq Dot Plot Version: 1.7.0 Authors@R: c( person(given = c("Benjamin", "I"), family = "Laufer", role = c("aut", "cre"), email = "blaufer@gmail.com"), person(given = c("Brad", "A"), family = "Friedman", role = c("aut"))) Description: Dot plots of single-cell RNA-seq data allow for an examination of the relationships between cell groupings (e.g. clusters) and marker gene expression. The scDotPlot package offers a unified approach to perform a hierarchical clustering analysis and add annotations to the columns and/or rows of a scRNA-seq dot plot. It works with SingleCellExperiment and Seurat objects as well as data frames. License: Artistic-2.0 URL: https://github.com/ben-laufer/scDotPlot BugReports: https://github.com/ben-laufer/scDotPlot/issues biocViews: Software, Visualization, DifferentialExpression, GeneExpression, Transcription, RNASeq, SingleCell, Sequencing, Clustering Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Depends: R (>= 4.4.0) Imports: aplot, BiocGenerics, cli, dplyr, ggplot2, ggsci, ggtree, grDevices, magrittr, purrr, rlang, scales, scater, Seurat, SingleCellExperiment, stats, stringr, tibble, tidyr Suggests: AnnotationDbi, BiocStyle, knitr, rmarkdown, scran, scRNAseq, scuttle, SeuratObject, testthat, vdiffr VignetteBuilder: knitr Config/testthat/edition: 3 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 13:03:18 UTC RemoteUrl: https://github.com/bioc/scDotPlot RemoteRef: HEAD RemoteSha: 52c611fd1881cc606056adc435edbe804b934dec NeedsCompilation: no Packaged: 2026-07-18 04:48:24 UTC; root Author: Benjamin I Laufer [aut, cre], Brad A Friedman [aut] Maintainer: Benjamin I Laufer