Data for "Quantifying the Propagation of Parametric Uncertainty on Flux Balance Analysis"

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Authors: Hoang Dinh, Debolina Sarkar, Costas D. Maranas
Cited by: 0

Abstract

In the repository are example scripts that perform uncertainty injection and propagation to flux balance analysis with outputs for a small sample size (for demonstration purpose only). For proper analysis, user should download the scripts and run for a large sample size (e.g., 10,000 samples). If you use the scripts, please cite the following Metabolic Engineering article: “Quantifying the propagation of parametric uncertainty on flux balance analysis” (https://doi.org/10.1016/j.ymben.2021.10.012) There are two subdirectories: /uncFBA/uncBiom: injection of normally distributed noise to biomass precursor coeffcients and ATP maintenance (growth-associated ATP maintenance (GAM) and non-growth associated ATP maintenance (NGAM)) /uncFBA/uncRHS: departure from steady-state by adding noise drawn from normal distribution to the RHS terms of mass balance constraints

Fields of Study & Subjects

Microbial Metabolic Engineering and Bioproduction Gene Regulatory Network Analysis Process Optimization and Integration

Publication details

Journal / source
Illinois Data Bank
Publication date
1 January 2026
Document type
Dataset