Literature DB >> 20478855

High-performance analysis of biological systems dynamics with the DiVinE model checker.

Jirí Barnat1, Lubos Brim, Dravid Safránek.   

Abstract

The current interest in systems biology is to gain a better understanding of how the complex dynamic behaviour of the cell emerges from mutual interactions of molecular species. When solving such a nontrivial goal, biological data have to be necessarily integrated with mathematical modelling and computer analysis. Since the key aspect of biological modelling is based on unifying several kinds of data captured in terms of large-scale biological networks, scalable and automatized methods are necessary to obtain novel predictions and understanding. In this review, we provide a brief description of the tool DiVinE adapted for automatized analysis of biological systems dynamics. The tool employs high-performance computing techniques to enable analysis of large models.

Mesh:

Year:  2010        PMID: 20478855     DOI: 10.1093/bib/bbp074

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  2 in total

1.  Robustness analysis of stochastic biochemical systems.

Authors:  Milan Ceska; David Safránek; Sven Dražan; Luboš Brim
Journal:  PLoS One       Date:  2014-04-21       Impact factor: 3.240

2.  On designing multicore-aware simulators for systems biology endowed with OnLine statistics.

Authors:  Marco Aldinucci; Cristina Calcagno; Mario Coppo; Ferruccio Damiani; Maurizio Drocco; Eva Sciacca; Salvatore Spinella; Massimo Torquati; Angelo Troina
Journal:  Biomed Res Int       Date:  2014-06-22       Impact factor: 3.411

  2 in total

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