RuleBender

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RuleBender: Integrated visualization for biochemical rule-based modeling

Adam M Smith
Wen Xu

RuleBender is a novel visualization system for the integrated visualization, modeling and simulation of rule-based intra-cellular biochemistry. Rule-based modeling (RBM) is a powerful and increasingly popular approach to modeling cell signaling networks. However, novel visual tools are needed in order to make RBM accessible to a broad range of users, to make specification of models less error prone, and to improve workflows. The support of RBM creation, debugging, and interactive visualization expedites the RBM learning process and reduces model construction time; while built-in model simulation and results with multiple linked views streamline the execution and analysis of newly created models and generated networks.

Release Date:
Status:
Availability:
Data type:
Techniques:
2D
Software:
Installed
Technology:
BioNetGen
Platform:
Linux, Mac OSX, Windows
Requirements:
Java, Perl

Project development

Institution: University of Pittsburgh

Work supported by NSF-IIS-0952720, NSF-CCF-0829788, NIH-GM-076570, NIH-UL1-RR024153. We thank the Pitt Visualization Lab, the Faeder Lab and the Emonet Lab for their helpful feedback, and the reviewers for the exciting future work suggestions.