CRAN/E | scCustomize

scCustomize

Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing

Installation

About

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.

github.com/samuel-marsh/scCustomize
samuel-marsh.github.io/scCustomize/
doi.org/10.5281/zenodo.5706431
Bug report File report

Key Metrics

Version 2.1.2
R ≥ 4.0.0
Published 2024-02-28 58 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks scCustomize results

Downloads

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Maintainer

Maintainer

Samuel Marsh

samuel.marsh@childrens.harvard.edu

Authors

Samuel Marsh

aut / cre

Ming Tang

ctb

Velina Kozareva

ctb

Lucas Graybuck

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

scCustomize archive

Depends

R ≥ 4.0.0
Seurat ≥ 4.3.0.1

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