TROJÁK, Matej, David ŠAFRÁNEK, Branislav BROZMANN and Luboš BRIM. eBCSgen 2.0: Modelling and Analysis of Regulated Rule-Based Systems. Online. In I. Petre, A. Păun. 20th International Conference on Computational Methods in Systems Biology. LNBI 13447. Neuveden: Springer, 2022, p. 302-309. ISBN 978-3-031-15033-3. Available from: https://dx.doi.org/10.1007/978-3-031-15034-0_17.
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Basic information
Original name eBCSgen 2.0: Modelling and Analysis of Regulated Rule-Based Systems
Authors TROJÁK, Matej (703 Slovakia, belonging to the institution), David ŠAFRÁNEK (203 Czech Republic, guarantor, belonging to the institution), Branislav BROZMANN (703 Slovakia, belonging to the institution) and Luboš BRIM (203 Czech Republic, belonging to the institution).
Edition LNBI 13447. Neuveden, 20th International Conference on Computational Methods in Systems Biology, p. 302-309, 8 pp. 2022.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/22:00129141
Organization unit Faculty of Informatics
ISBN 978-3-031-15033-3
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-031-15034-0_17
Keywords in English rule-based modelling; regulations; SBML; Galaxy tool
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Luboš Brim, CSc., učo 197. Changed: 6/1/2023 09:59.
Abstract
eBCSgen is a software tool for developing and analysing models written in Biochemical Space Language (BCSL). BCSL is a rule-based language designed for the description of biological systems with rewriting rules in the form of behavioural patterns. This tool paper describes a new version of the tool, implementing the support for regulations, a mechanism suitable for reducing the branching behaviour of concurrent systems. Additionally, the presented version provides export to SBML, and support for CTL model checking. The paper artefact is available via https://doi.org/10.5281/zenodo.6644973.
Links
GA22-10845S, research and development projectName: Studium role polyhydroxyalkanoátů u bakterie Schlegelella thermodepolymerans – slibného bakteriálního kandidáta pro biotechnologie nové generace (Acronym: PHAST)
Investor: Czech Science Foundation, Unraveling the role of polyhydroxyalkanoates in Schlegelella thermodepolymerans – promising environmental bacterium for next generation biotechnology
MUNI/A/1145/2021, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace XI. (Acronym: SV-FI MAV XI.)
Investor: Masaryk University
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