Authors
Anton Stratmann, Martin Beyß, Johann F Jadebeck, Wolfgang Wiechert, Katharina Nöh
Title
13CFLUX - third-generation high-performance engine for isotopically (non)stationary 13C metabolic flux analysis Open Access
further bibliographical information
Bioinformatics, Volume 41, Issue 12, December 2025
DOI
https://doi.org/10.1093/bioinformatics/btaf630
description
Summary
13C-based metabolic flux analysis is a cornerstone of quantitative systems biology, yet its increasing data complexity and methodological diversity place high demands on simulation software. We introduce 13CFLUX(v3), a third-generation simulation platform that combines a high-performance C++ engine with a convenient Python interface. The software delivers substantial performance gains across isotopically stationary and nonstationary analysis workflows, while remaining flexible to accommodate diverse labeling strategies and analytical platforms. Its open-source availability facilitates seamless integration into computational ecosystems and community-driven extension. By supporting multi-experiment integration, multi-tracer studies, and advanced statistical inference such as Bayesian analysis, 13CFLUX provides a robust and extensible framework for modern fluxomics research.
Availability and implementation
Sources and containers are provided at IBG-1 / ModSim / Fluxomics / 13CFLUX · GitLab, and scripts to replicate results in the supplementary data at GitHub - JuBiotech/Supplement-to-Stratmann-et-al.-Bioinformatics-2025.