Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data

MOTIVATION: Technological advances in metabolomics have made it possible to monitor the concentration of extracellular metabolites over time. From these data, it is possible to compute the rates of uptake and excretion of the metabolites by a growing cell population, providing precious information o...

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Dettagli Bibliografici
Pubblicato in:Bioinformatics
Autori principali: Cinquemani, Eugenio, Laroute, Valérie, Cocaign-Bousquet, Muriel, de Jong, Hidde, Ropers, Delphine
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2017
Soggetti:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5870603/
https://ncbi.nlm.nih.gov/pubmed/28881984
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx250
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