https://www.selleckchem.com/products/cc-92480.html
Genome-scale metabolic models are increasingly employed to predict the phenotype of various biological systems pertaining to healthcare and bioengineering. To characterize the full metabolic spectrum of such systems, Fast Flux Variability Analysis (FFVA) is commonly used in parallel with static load balancing. This approach assigns to each core an equal number of biochemical reactions without consideration of their solution complexity. Here, we present Very Fast Flux Variability Analysis (VFFVA) as a parallel implementation that dynami
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