DocumentCode
2537687
Title
RuleBender: Integrated visualization for biochemical rule-based modeling
Author
Smith, Adam M. ; Xu, Wen ; Sun, Yao ; Faeder, James R. ; Marai, G. Elisabeta
Author_Institution
Comput. Sci., Univ. of Pittsburgh, Pittsburgh, PA, USA
fYear
2011
fDate
23-24 Oct. 2011
Firstpage
103
Lastpage
110
Abstract
We introduce RuleBender, 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. We present the user requirements, visual paradigms, algorithms and design decisions behind RuleBender, with emphasis on visual global/local model exploration and integrated execution of simulations. 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. A development cycle that includes close interaction with expert users allows RuleBender to better serve the needs of the systems biology community.
Keywords
biochemistry; biology computing; cellular biophysics; data visualisation; knowledge based systems; learning (artificial intelligence); program debugging; RBM creation; RBM debugging; RBM learning process; RuleBender; biochemical rule-based modeling; built-in model simulation; cell signaling network; design decision; integrated simulation execution; integrated visualization; interactive visualization; model construction time; rule-based intracellular biochemistry; system biology community; user requirement; visual tool; Analytical models; Biological system modeling; Computational modeling; Data visualization; Mathematical model; Proteins; Visualization; bubble sets; cell signaling; computational biology; interaction; rule-based modeling and simulation; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Biological Data Visualization (BioVis), 2011 IEEE Symposium on
Conference_Location
Providence, RI
Print_ISBN
978-1-4673-0003-2
Type
conf
DOI
10.1109/BioVis.2011.6094054
Filename
6094054
Link To Document