PEtab.jl: Advancing the efficiency and utility of dynamic modelling
Journal article, 2025

Summary Dynamic models represent a powerful tool for studying complex biological processes, ranging from cell signalling to cell differentiation. Building such models often requires computationally demanding modelling workflows, such as model exploration and parameter estimation. We developed two Julia-based tools: SBMLImporter.jl, an SBML importer, and PEtab.jl, an importer for parameter estimation problems in the PEtab format, designed to streamline modelling processes. These tools leverage Julia's high-performance computing capabilities, including symbolic pre-processing and advanced ODE solvers. PEtab.jl aims to be a Julia-accessible toolbox that supports the entire modelling pipeline from parameter estimation to identifiability analysis. Availability and implementation SBMLImporter.jl and PEtab.jl are implemented in the Julia programming language. Both packages are available on GitHub (github.com/sebapersson/SBMLImporter.jl and github.com/sebapersson/PEtab.jl) as officially registered Julia packages, installable via the Julia package manager. Each package is continuously tested and supported on Linux, macOS, and Windows.

Author

Sebastian Persson

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

University of Gothenburg

Fabian Fröhlich

The Francis Crick Institute

Stephan Grein

University of Bonn

Torkel Loman

Massachusetts Institute of Technology (MIT)

Damiano Ognissanti

Chalmers, Mathematical Sciences, Algebra and geometry

University of Gothenburg

Viktor Hasselgren

University of Gothenburg

Jan Hasenauer

University of Bonn

Marija Cvijovic

University of Gothenburg

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Bioinformatics

1367-4803 (ISSN) 13674811 (eISSN)

Vol. 41 9 btaf497

Subject Categories (SSIF 2025)

Software Engineering

Computational Mathematics

Control Engineering

DOI

10.1093/bioinformatics/btaf497

PubMed

40924544

More information

Latest update

10/1/2025