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
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
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

Science/Research, Advanced End Users

Programming Language

Python, JavaScript

Database Environment

SQL-based

Related Categories

Python Bio-Informatics Software, JavaScript Bio-Informatics Software

Registered

2010-12-20