Literature DB >> 23654252

Dynamic modeling of cellular populations within iBioSim.

Jason T Stevens1, Chris J Myers.   

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.

Mesh:

Year:  2012        PMID: 23654252     DOI: 10.1021/sb300082b

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  5 in total

Review 1.  Plant synthetic biology for molecular engineering of signalling and development.

Authors:  Jennifer L Nemhauser; Keiko U Torii
Journal:  Nat Plants       Date:  2016-03-02       Impact factor: 15.793

2.  Guidelines for Reproducibly Building and Simulating Systems Biology Models.

Authors:  J Kyle Medley; Arthur P Goldberg; Jonathan R Karr
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-18       Impact factor: 4.538

Review 3.  Advancing microbial sciences by individual-based modelling.

Authors:  Ferdi L Hellweger; Robert J Clegg; James R Clark; Caroline M Plugge; Jan-Ulrich Kreft
Journal:  Nat Rev Microbiol       Date:  2016-06-06       Impact factor: 60.633

Review 4.  Parts & pools: a framework for modular design of synthetic gene circuits.

Authors:  Mario Andrea Marchisio
Journal:  Front Bioeng Biotechnol       Date:  2014-10-06

5.  Hierarchical Stochastic Simulation Algorithm for SBML Models of Genetic Circuits.

Authors:  Leandro H Watanabe; Chris J Myers
Journal:  Front Bioeng Biotechnol       Date:  2014-11-28
  5 in total

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