The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.

Features

  • Automatic visualiztion with Cytoscape.
  • Automatic generation of rule based models for BioNetGen.
  • Storage of biological facts that can be used for modelling.

Project Activity

See All Activity >

Categories

Bio-Informatics

License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

Follow rxncon

rxncon Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of rxncon!

Additional Project Details

Languages

English

Intended Audience

Advanced End Users, Science/Research

Programming Language

JavaScript, Python

Database Environment

SQL-based

Related Categories

Python Bio-Informatics Software, JavaScript Bio-Informatics Software

Registered

2010-12-20