Snoopy--a unifying Petri net framework to investigate biomolecular networks.
CONCLUSIONS
To investigate biomolecular networks, Snoopy provides a unifying Petri net framework comprising a family of related Petri net classes. Models can be hierarchically structured, allowing for the mastering of larger networks. To move easily between the qualitative, stochastic and continuous modelling paradigms, models can be converted into each other. We get models sharing structure, but specialized by their kinetic information. The analysis and iterative reverse engineering of biomolecular networks is supported by the simultaneous use of several Petri net classes, while the graphical user interface adapts dynamically to the active one. Built-in animation and simulation are complemented by exports to various analysis tools. Snoopy facilitates the addition of new Petri net classes thanks to its generic design.


BACKGROUND
Our tool with Petri net samples is available free of charge for non-commercial use at http://www-dssz.informatik.tu-cottbus.de/snoopy.html; supported operating systems: Mac OS X, Windows and Linux (selected distributions).
Magdeburg Centre for Systems Biology (MaCS), Otto von Guericke University, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. snoopy@informatik.tu-cottbus.de
Christian
C
Rohr
Wolfgang
W
Marwan
Monika
M
Heiner
D019295:Computational Biology / Q000379:methods; D008954:Models, Biological; D012984:Software; D014584:User-Computer Interface