Publication Details
SeQuaiA: A Scalable Tool for Semi-Quantitative Analysis of Chemical Reaction Networks
probabilistic verification, population Markov chains, abstraction
Chemical reaction networks (CRNs) play a fundamental role in analysis and design
of biochemical systems. They induce continuous-time stochastic systems, whose
analysis is a computationally intensive task. We present a tool that implements
the recently proposed semi-quantitative analysis of CRN. Compared to the proposed
theory, the tool implements the analysis so that it is more flexible and more
precise. Further, its GUI offers a wide range of visualization procedures that
facilitate the interpretation of the analysis results as well as guidance to
refine the analysis. Finally, we define and implement a new notion of "mean"
simulations, summarizing the typical behaviours of the system in a way directly
comparable to standard simulations produced by other tools.
@inproceedings{BUT168142,
author="ČEŠKA, M. and CHAU, C. and KŘETÍNSKÝ, J.",
title="SeQuaiA: A Scalable Tool for Semi-Quantitative Analysis of Chemical Reaction Networks",
booktitle="International Conference on Computer Aided Verification",
year="2020",
series="Lecture Notes in Computer Science",
volume="12224",
pages="653--666",
publisher="Springer Verlag",
address="Cham",
doi="10.1007/978-3-030-53288-8\{_}32",
isbn="978-3-030-53287-1",
url="https://link.springer.com/chapter/10.1007/978-3-030-53288-8_32"
}