VFFVA: dynamic load balancing enables large-scale flux variability analysis

VFFVA: dynamic load balancing enables large-scale flux variability analysis

Abstract Background 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 paral...

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Bibliographic Details
Main Author: Marouen Ben Guebila
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Bioinformatics
Subjects:
Metabolic models
Flux variability analysis
High performance computing
Systems biology
Online Access:http://link.springer.com/article/10.1186/s12859-020-03711-2

Internet

http://link.springer.com/article/10.1186/s12859-020-03711-2

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