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Publikation: Zeitschriftenartikel

Discrete event modelling and simulation in systems biology


Grunddaten

Titel Discrete event modelling and simulation in systems biology
Veröffentlicht in Journal of simulation : JOS ; a journal of the Operation Research Society. - Basingstoke : Palgrave Macmillan
Erscheinungsjahr 2007
Seiten (von – bis) 81 – 96
Band 1
Heft-Nr. 2
Jahr 2007
Publikationsform Druckschrift
Publikationsart Zeitschriftenartikel
Sprache Englisch
Letzte Änderung 17.05.2019 14:08:21
Bearbeitungsstatus durch UB Rostock abschließend validiert
Dauerhafte URL http://purl.uni-rostock.de/fodb/pub/30978
Links zu Katalogen Diese Publikation in der Universitätsbibliographie Diese Publikation im GBV-Katalog

Abstract

With Systems Biology, a promising new application area for modeling and simulation emerges. Today's biologists are facing huge amounts of data delivered at different levels of detail by a multitude of advanced experimentation techniques. The Systems Biology approach copes with this information by cycling through phases of forming hypothesis, constructing models, experimenting with or analyzing these models, and validating the findings by wet-lab experiments. A crucial point is therefore the way in which the knowledge about a system is formalized, i.e., how a biological system is described as this constrains the perception of the system as well as scope of possible answers the model might provide. In this article, we compare different discrete-event modeling formalisms (Petri Nets, Stochastic Pi-Calculus , StateCharts, and Devs) regarding their applicability to a cell biological system of current research interest, the Wnt signaling pathway. We then introduce the popular Gillespie algorithm, which is the foundation of many discrete-event simulators for molecular-biological systems, and elaborate on some interesting extensions.

Autoren

Ewald, Roland
Maus, Carsten
Rolfs, Arndt Link zur UB Rostock Link zum GBV-Katalog
Uhrmacher, Adelinde Link zur UB Rostock Link zum GBV-Katalog

Einrichtungen

IEF/Bereich Informatik
UMR/Klinik und Poliklinik für Neurologie (KN)