Skip to content

Biaflows installation procedure on a web server or a personal laptop. This procedure is based on ULiege Cytomine bootstrap (see @Cytomine-ULiege & @cytomine).

License

Notifications You must be signed in to change notification settings

Neubias-WG5/Biaflows-bootstrap

 
 

Repository files navigation

Cytomine Bootstrap

Cytomine bootstrap is the installer for Cytomine. The application can run on a server to allow remote users to access the web platform or locally on your own machine.

Build Status GitHub release GitHub

Overview

Cytomine is, to the best of our knowledge, the first open-source rich internet application to enable highly collaborative and multidisciplinary analysis of multi-gigapixel imaging data.

This bootstrap procedure allows you to configure your installation and generate an installer script based on this configuration. All Cytomine components run in Docker containers so that the only requirement is Docker.

Install

To install official release of Cytomine, see @cytomine. Follow this guide to install forked version by ULiege.

Follow the detailed guide to install Cytomine:

Basically,

  1. Fill the configuration.sh file
  2. Generate your installation script by running bash init.sh
  3. Run the generated script bash start.sh

To restart the server, run bash restart.sh.

You may be interested in Cytomine parameter configuration reference.

Documentation

Full documentation can be found online.

References

When using our software, we kindly ask you to cite our website url and related publications in all your work (publications, studies, oral presentations,...). In particular, we recommend to cite (Marée et al., Bioinformatics 2016) paper, and to use our logo when appropriate. See our license files for additional details.

  • URL: http://www.cytomine.org/
  • Logo: Available here
  • Scientific paper: Raphaël Marée, Loïc Rollus, Benjamin Stévens, Renaud Hoyoux, Gilles Louppe, Rémy Vandaele, Jean-Michel Begon, Philipp Kainz, Pierre Geurts and Louis Wehenkel. Collaborative analysis of multi-gigapixel imaging data using Cytomine, Bioinformatics, DOI: 10.1093/bioinformatics/btw013, 2016.

License

Apache 2.0

About

Biaflows installation procedure on a web server or a personal laptop. This procedure is based on ULiege Cytomine bootstrap (see @Cytomine-ULiege & @cytomine).

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Shell 100.0%