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scSpotlight scSpotlight website

scSpotlight status badge

The goal of scSpotlight is to simplify your single cell analysis and easily annotate your dataset with curated cell type markers. scSpotlight is built on shiny, Seurat and regl-scatterplot. Please refer to the documentation website for detailed instructions:

Installation

You can install the development version of scSpotlight from GitHub with:

# install.packages("devtools")
devtools::install_github("obenno/scSpotlight")

or a much faster installation with pak:

# install.packages("pak")
pak::pkg_install("obenno/scSpotlight")

Dependency policy (dev + CI)

  • DESCRIPTION is the source of truth for package dependencies.
  • renv.lock is used for reproducible project environments (for example pkgdown builds and deployment workflows).
  • Commit renv.lock, renv/activate.R, and renv/settings.json.
  • Do not commit renv/library/ or other cache directories.
  • CI jobs can use both approaches: install from DESCRIPTION for package checks, and run renv::restore() for reproducible docs/app jobs.

Docker

To pull the latest image from the command line

docker pull registry-intl.cn-hangzhou.aliyuncs.com/thunderbio/scspotlight:0.0.3

To run the app on port:8081, please use the command below:

docker run -p 8081:8081 registry-intl.cn-hangzhou.aliyuncs.com/thunderbio/scspotlight:0.0.3 Rscript -e 'scSpotlight::run_app(options = list(port=8081, host="0.0.0.0", launch.browser = FALSE), runningMode="processing")'

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A shiny app for single cell analysis based on Seurat

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