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ErrorTracer: an algorithm for identifying the origins of inconsistencies in genome-scale metabolic models
MOTIVATION: The number and complexity of genome-scale metabolic models is steadily increasing, empowered by automated model-generation algorithms. The quality control of the models, however, has always remained a significant challenge, the most fundamental being reactions incapable of carrying flux....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703767/ https://www.ncbi.nlm.nih.gov/pubmed/31598631 http://dx.doi.org/10.1093/bioinformatics/btz761 |