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Bayesian inference of metabolic kinetics from genome-scale multiomics data
Modern biological tools generate a wealth of data on metabolite and protein concentrations that can be used to help inform new strain designs. However, learning from these data to predict how a cell will respond to genetic changes, a key need for engineering, remains challenging. A promising techniq...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855570/ https://www.ncbi.nlm.nih.gov/pubmed/31682600 http://dx.doi.org/10.1371/journal.pcbi.1007424 |