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
Find Hidden Risks in Windows Task Scheduler Icon
Find Hidden Risks in Windows Task Scheduler

Free diagnostic script reveals configuration issues, error patterns, and security risks. Instant HTML report.

Windows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
Download Free Tool
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