scCustomize: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing

Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.

Version: 2.1.2
Depends: R (≥ 4.0.0), Seurat (≥
Imports: circlize, cli (≥ 3.2.0), cowplot, data.table, dplyr, forcats, ggbeeswarm, ggplot2, ggprism, ggrastr, ggrepel, glue, grDevices, grid, janitor, lifecycle, magrittr, Matrix (≥ 1.5.0), methods, paletteer, patchwork, pbapply, purrr, rlang (≥ 1.1.3), scales, scattermore (≥ 1.2), SeuratObject (≥ 5.0.0), stats, stringi, stringr, tibble, tidyr
Suggests: BiocFileCache, ComplexHeatmap, dittoSeq, DropletUtils, ggpubr, hdf5r, knitr, Nebulosa, remotes, reticulate, rliger, rmarkdown, scuttle, tidyselect, qs, viridis
Published: 2024-02-28
DOI: 10.32614/CRAN.package.scCustomize
Author: Samuel Marsh ORCID iD [aut, cre], Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb]
Maintainer: Samuel Marsh <samuel.marsh at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scCustomize results


Reference manual: scCustomize.pdf


Package source: scCustomize_2.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): scCustomize_2.1.2.tgz, r-oldrel (arm64): scCustomize_2.1.2.tgz, r-release (x86_64): scCustomize_2.1.2.tgz, r-oldrel (x86_64): scCustomize_2.1.2.tgz
Old sources: scCustomize archive


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