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SCelVis: Easy Single-Cell Visualization

https://img.shields.io/conda/dn/bioconda/scelvis.svg?label=Bioconda https://api.codacy.com/project/badge/Grade/9ee0ec1424c143dfad9977a649f917f7 https://api.codacy.com/project/badge/Coverage/9ee0ec1424c143dfad9977a649f917f7 Documentation Status https://travis-ci.org/bihealth/scelvis.svg?branch=master

Documentation

The SCelVis documentation at ReadTheDocs.org contains comprehensive information including a Tutorial.

Movie

docs_manual/figures/scelvis_movie.gif

Installation

You can install with Pip and Bioconda or run directly via Docker.

$ pip install scelvis
# OR
$ conda install scelvis
# OR
$ docker run quay.io/biocontainers/scelvis:0.8.4--py_0 scelvis --help

Look up the latest version (instead of 0.8.4 to use at here)

Building Docker Image

  1. Push changes to Github (we need a [git tree-ish](https://stackoverflow.com/questions/4044368/what-does-tree-ish-mean-in-git), so a tag works as well as a feature branch).
  2. Call GIT_TAG=tag-or-branch bash docker build/build-docker.sh.
  3. Run with docker run ghcr.io/bihealth/scelvis:[version]-0.
  4. Push with docker push ghcr.io/bihealth/scelvis:[version]-0.

About

🎇 SCelVis - web-based visualization of single-cell data. ➡️ ➡️ Demo ➡️➡️

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