Sistema ETD

banca dati delle tesi e dissertazioni accademiche elettroniche

 

Tesi etd-12162010-120629

Condividi questa tesi: 
 
 

Tipo di tesi
Tesi di dottorato di ricerca
Autore
BASUKI, THOMAS ANUNG
URN
etd-12162010-120629
Titolo
Modelling Biological Systems From Molecular Interactions to Population Dynamics
Settore scientifico disciplinare
INF/01 - INFORMATICA
Corso di studi
INFORMATICA
Commissione
tutor Andrea Maggiolo-Schettini
relatore Antonio Cerone
Parole chiave
  • stocastic models
  • rewriting systems
  • Systems biology
Data inizio appello
2010-12-17
Disponibilità
completa
Riassunto analitico
Biological systems are examples of complex systems, which consist of several interacting components. Understanding the behaviour of such systems requires a multidisciplinary approach that encompasses biology, mathematics, computer science, physiscs and chemistry. New research areas are emerging as the result of this multidisciplinarity, such as bioinformatics, systems biology and computational biology. Computer science plays an important role in the newly emerging research areas by offerring techniques, algorithms, languages and software to solve research problems efficiently. On the other hand, the efforts to solve these research problems stimulate the development of new and better computer science techniques, algorithms, languages and software.
This thesis describes our approach in modelling biological systems as a way to better understand their complex behaviours. Our approach is based on the Calculi of Looping Sequences, a class of formalisms originally developed to model biological systems involving cells and their membrane-based structures. We choose Stochastic CLS and Spatial CLS, two variants of the calculi that support quantitative analysis of the model, and define an approach that support simulation, statistical model-checking and visualisation as analysis techniques. Moreover, we found out that this class of formalisms can be easily extended to model population dynamics of animals, a kind of biological systems that does not involve membrane-based structures.
File