Dipartimento di Informatica

Pubblicazioni selezionate

Castagno P , Pernice S , Ghetti G , Povero M , Pradelli L , Paolotti D , Balbo G , Sereno M , Beccuti M (2020)
A computational framework for modeling and studying pertussis epidemiology and vaccination.
https://iris.unito.it/handle/2318/1759507

Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccolò Totis, Pietro Liò, Ivan Merelli, Francesca Cordero, Marco Beccuti (2020)
Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice.
https://iris.unito.it/handle/2318/1716827

Pernice S , Castagno P , Marcotulli L , Maule M M , Richiardi L , Moirano G , Sereno M , Cordero F , Beccuti M (2020)
Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region.
https://iris.unito.it/handle/2318/1761315

Piaggeschi, Giulia, Licheri, Nicola, Romano, Greta, Pernice, Simone, Follia, Laura, Ferrero, Giulio (2019)
MethylFASTQ: A Tool Simulating Bisulfite Sequencing Data.
https://iris.unito.it/handle/2318/1695383

Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Laura Follia, Simone Pernice (2019)
A Tool for the Automatic Derivation of Symbolic ODE from Symmetric Net Models.
https://iris.unito.it/handle/2318/1725811

Pernice S , Pennisi M , Romano G , Maglione A , Cutrupi S , Pappalardo F , Balbo G , Beccuti M , Cordero F , Calogero R A (2019)
A computational approach based on the colored Petri net formalism for studying multiple sclerosis.
https://iris.unito.it/handle/2318/1737994

Laura Follia, Fabio Tordini, Simone Pernice, , , Greta Romano, Giulia Piaggeschi, Giulio Ferrero (2018)
ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data.
https://iris.unito.it/handle/2318/1669999

Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Simone Pernice (2018)
Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets Without Unfolding.
https://iris.unito.it/handle/2318/1690344

Pernice S , Beccuti M , Do P , Pennisi M , Pappalardo F (2018)
Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets.
https://iris.unito.it/handle/2318/1710926

Temi di ricerca

His current research interests are in the area of mathematical modeling, application of stochastic models for systems biology, theory and application of Petri Nets (Generalized Stochastic Petri Nets, Stochastic Symmetric Nets, Extended Stochastic Symmetric Nets).

Gruppi di ricerca

• Quantitative Biology (q-Bio)

Attività in agenda

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Organi

• Consiglio di Dipartimento