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EnglishBoolean networks (BNs), first introduced by Kauffman as genetic regulatory network models, are the subject of notable works in complex systems biology literature. BN models lately garnered much attention because it has been shown that BNs can capture important phenomena in genetics and biology in general. In this work, we illustrate the main properties and design principles of a new efficient, flexible and extensible BN simulator, named the Boolean Network Toolkit. This simulator makes it possible to easily set up experiments and analyse the most relevant features of BN’s dynamics.
| Titolo: | An Efficient Simulator for Boolean Network Models |
| Autore/i: | BENEDETTINI, STEFANO; ROLI, ANDREA |
| Autore/i Unibo: | |
| Anno: | 2013 |
| Serie: | |
| Titolo del libro: | Proceedings of the European Conference on Complex Systems 2012 |
| Pagina iniziale: | 201 |
| Pagina finale: | 207 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-00395-5_30 |
| Abstract: | Boolean networks (BNs), first introduced by Kauffman as genetic regulatory network models, are the subject of notable works in complex systems biology literature. BN models lately garnered much attention because it has been shown that BNs can capture important phenomena in genetics and biology in general. In this work, we illustrate the main properties and design principles of a new efficient, flexible and extensible BN simulator, named the Boolean Network Toolkit. This simulator makes it possible to easily set up experiments and analyse the most relevant features of BN’s dynamics. |
| Data prodotto definitivo in UGOV: | 9-dic-2014 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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