title: Dynamic modeling of cellular populations within iBioSim.
abstract: As the complexity of synthetic genetic circuits increases, modeling is becoming a necessary first step to inform subsequent experimental efforts. In recent years, the design automation community has developed a wealth of computational tools for assisting experimentalists in designing and analyzing new genetic circuits at several scales. However, existing software primarily caters to either the DNA- or single-cell level, with little support for the multicellular level. To address this need, the iBioSim software package has been enhanced to provide support for modeling, simulating, and visualizing dynamic cellular populations in a two-dimensional space. This capacity is fully integrated into the software, capitalizing on iBioSim's strengths in modeling, simulating, and analyzing single-celled systems.
authors: Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, United States.
authors: Jason T
authors: JT
authors: Stevens
authors: Chris J
authors: CJ
authors: Myers
mesh_terms: D000818:Animals; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D011381:Programming Languages; D012984:Software; D058615:Synthetic Biology / Q000379:methods*; D014584:User-Computer Interface