5 papers
Perspectives on Sustainable Computational Science and Engineering
Julia Kowalski, Ann S. Almgren, Achim Basermann +43
Computational Science and Engineering (CSE) combines expertise at the intersection of engineering, applied mathematics, and computer science to form powerful methods for model-base…
Automated multi-dataset INST C metabolic flux analysis at microliter scale reveals robust fluxes but variable metabolite pools in
Jochen Nießer, Anton Stratmann, Martin Beyß +3
Isotopically non-stationary metabolic flux analysis (INST C-MFA) provides unique insights into cellular physiology but is typically limited by low throughput and high experi…
Trans-dimensional Bayesian model averaging for C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty
Johann F. Jadebeck, Anton Stratmann, Martin Beyß +1
Accurate quantification of intracellular metabolic fluxes is central to systems biology and biotechnology. Flux estimation relies on biochemical network models, with C metab…
Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
Richard D. Paul, Anton Stratmann, Johann F. Jadebeck +4
Markov chain Monte Carlo (MCMC) sampling of densities restricted to linearly constrained domains is an important task arising in Bayesian treatment of inverse problems in the natur…
13CFLUX -- Third-generation high-performance engine for isotopically (non)stationary 13C metabolic flux analysis
Anton Stratmann, Martin Beyß, Johann F. Jadebeck +2
13C-based metabolic flux analysis (13C-MFA) is a cornerstone of quantitative systems biology, yet its increasing data complexity and methodological diversity place high demands on…