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*latest update: June 26, 2014, at 06:33 PM*

- satellite event of PETRI NET 2014
**where:**Tunis / Tunisia**when**: Tuesday, June 24, 2014**tutorial level:**intermediate/advanced**length:**full day**related event:**BioPPN workshop, Monday, June 23, 2014

- organizers/presenters
- abstract
- expected audience
- tools
- outline
- useful links and supplementary material
- assignments
- references
- registration

- David Gilbert - Brunel University, School of Information Systems, Computing and Mathematics, Uxbridge/London, UK
- Monika Heiner - Brandenburg University of Technology at Cottbus, Computer Science Institute, Germany
- Wolfgang Marwan - Otto von Guericke University Magdeburg, Departement of Regulatory Biology, Germany

*supported by*

- Annegret Wagler - Universite Blaise Pascal, Clermont-Ferrand, France
- Mostafa Herajy - Port Said University, Egypt

The use of models of biochemical networks is a central component for both Systems and Synthetic Biology. Constructing, analysing and applying these models for prediction (Systems Biology) or design (Synthetic Biology) is a major challenge that can benefit from the application of methods originating in computer science and software engineering. This tutorial gives an introduction to a general modelling framework and shows how it can be applied to analysing existing biological systems and designing novel systems. A particularly challenging aspect is modeling biological systems which are characterized by important features at multiple spatial and/or temporal scales.

We introduce a biomodel engineering framework to address some of these issues within the context of multiscale Systems Biology. Our methodology is based on a structured family of Petri net classes which enables the investigation of a given system using various modelling abstractions: qualitative, stochastic, continuous and hybrid, optionally in a spatial context. We illustrate our approach with case studies demonstrating hierarchical flattening, treatment of space, and hierarchical organisation of space.

Finally, we discuss two approaches of a systematic network construction - design modules first and then construct the networks by module composition, or automatically reconstruct the networks from time series data.

- The target audience includes research students as well as researchers.
- Suitable for computer scientists and engineers familiar with basic modelling approaches, as well as for biochemists with an understanding of biochemical net- works.
- The tutorial illustrates the special challenges, which come with this application area, and also indicate some open problems which need to be solved. So the tutorial might be of special interest to those looking for new challenges to their theoretical background.

The tutorial material was developed using the following tools.

- Snoopy - design and animation/simulation of qualitative/stochastic/continuous/hybrid Petri nets;
- Charlie - standard analysis techniques of Petri nets theory;
- Marcie - reachability analysis and exact/approximative/simulative model checking of CTL/CSRL/PLTLc;
- MC2 - simulative PLTLc model checker for discrete/continuous traces.

Monika Heiner

Overview and introduction into the field
[ slides ]

Annegret Wagler

Automatic network reconstruction
[ slides ]

Mostafa Herajy

Simulation of stochastic/continuous/hybrid Petri nets
[ slides ]

Monika Heiner

Coloured Petri nets for systems biology
[ slides ]

- Snoopy's bibliography comprises a systematic reading guide
- Petri nets for multiscale Systems Biology reports a couple of case studies
- MA Blätke, M Heiner, and W Marwan:

Tutorial - Petri Nets in Systems Biology;

Technical report, Otto von Guericke University Magdeburg, Magdeburg Centre for Systems Biology, August 2011.

To earn 1 credit point for taking part in the advanced tutorial requires to solve one of the assignments with a total work load of 30 hours. Please contact one of the organisers of this workshop if you are interested.

- MA Blätke, A Dittrich, C Rohr, M Heiner, F Schaper and W Marwan:

JAK/STAT signalling - an executable model assembled from molecule-centred modules demonstrating a module-oriented database concept for systems and synthetic biology;

Molecular BioSystem, 9(6):1290-1307, 2013. - Q Gao, D Gilbert, M Heiner, F Liu, D Maccagnola and D Tree:

Multiscale Modelling and Analysis of Planar Cell Polarity in the Drosophila Wing;

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(2):337-351, 2013 (online 01 August 2012). - D Gilbert, M Heiner, F Liu and N Saunders:

Colouring Space - A Coloured Framework for Spatial Modelling in Systems Biology;

Proc. PETRI NETS 2013, Milano, Springer, LNCS 7927, pp 230–249, June 2013. - M Heiner, D Gilbert and R Donaldson:

Petri Nets for Systems and Synthetic Biology;

SFM 2008, Springer, LNCS 5016, pp. 215–264, 2008. - M Heiner and D Gilbert:

How Might Petri Nets Enhance Your Systems Biology Toolkit;

Proc. PETRI NETS 2011, Springer, LNCS 6709, pages 17–37, 2011. - M Heiner and D Gilbert:

BioModel Engineering for Multiscale Systems Biology;

Progress in Biophysics and Molecular Biology, 111(2-3):119–128, April 2013 - M Herajy and M Heiner:

Hybrid Representation and Simulation of Stiff Biochemical Networks;

J. Nonlinear Analysis: Hybrid Systems, 6(4):942–959, November 2012 - M Herajy:

Computational Steering of Multi-Scale Biochemical Networks;

PhD thesis, BTU Cottbus, Dep. of CS, January 2013. - M Herajy, M Schwarick and M Heiner:

Hybrid Petri Nets for Modelling the Eukaryotic Cell Cycle;

ToPNoC VIII, LNCS 8100, 2013. - F Liu:

Colored Petri Nets for Systems Biology;

PhD thesis, BTU Cottbus, Dep. of CS, January 2012. - F Liu and M Heiner:

Petri Nets for Modeling and Analyzing Biochemical Reaction Networks;

In Approaches in Integrative Bioinformatics, (M Chen and R Hofestädt, Eds.), Springer, pages 245–272, 2014. - F Liu, M Heiner and M Yang:

Modeling and analyzing biological systems using colored hierarchical Petri nets, illustrated by C. elegans vulval development;

WSPC Journal of Biological Systems, online, May 2014. - W Marwan, C Rohr and M Heiner:

Petri nets in Snoopy: A unifying framework for the graphical display, computational modelling, and simulation of bacterial regulatory networks;

In Methods in Molecular Biology – Bacterial Molecular Networks, (Jv Helden, A Toussaint and D Thieffry, Eds.), Humana Press, pages 409–437, 2012. - O Parvu, D Gilbert, M Heiner, F Liu and N Saunders:

Modelling and Analysis of Phase Variation in Bacterial Colony Growth;

Proc. CMSB 2013, Vienna, Springer, LNCS/LNBI, volume 8130, pages 78–-91, September 2013.

Registration is handled by the hosting conference website PETRI NET 2014

Please contact one of the organisers.