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dc.contributor.author
Kurz, Felix T.  
dc.contributor.author
Kembro, Jackelyn Melissa  
dc.contributor.author
Flesia, Ana Georgina  
dc.contributor.author
Armoundas, Antonis A.  
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Cortassa, Sonia del Carmen  
dc.contributor.author
Aon, Miguel A.  
dc.contributor.author
Lloyd, David  
dc.date.available
2018-09-05T20:26:56Z  
dc.date.issued
2017-01  
dc.identifier.citation
Kurz, Felix T.; Kembro, Jackelyn Melissa; Flesia, Ana Georgina; Armoundas, Antonis A.; Cortassa, Sonia del Carmen; et al.; Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and back; Wiley Blackwell Publishing, Inc; Wiley Interdisciplinary Reviews: Systems Biology and Medicine; 9; 1; 1-2017; 1-30  
dc.identifier.issn
1939-005X  
dc.identifier.uri
http://hdl.handle.net/11336/58443  
dc.description.abstract
Advancing from two core traits of biological systems: multilevel network organization and nonlinearity, we review a host of novel and readily available techniques to explore and analyze their complex dynamic behavior within the framework of experimental–computational synergy. In the context of concrete biological examples, analytical methods such as wavelet, power spectra, and metabolomics–fluxomics analyses, are presented, discussed, and their strengths and limitations highlighted. Further shown is how time series from stationary and nonstationary biological variables and signals, such as membrane potential, high-throughput metabolomics, O2 and CO2 levels, bird locomotion, at the molecular, (sub)cellular, tissue, and whole organ and animal levels, can reveal important information on the properties of the underlying biological networks. Systems biology-inspired computational methods start to pave the way for addressing the integrated functional dynamics of metabolic, organelle and organ networks. As our capacity to unravel the control and regulatory properties of these networks and their dynamics under normal or pathological conditions broadens, so is our ability to address endogenous rhythms and clocks to improve health-span in human aging, and to manage complex metabolic disorders, neurodegeneration, and cancer. WIREs Syst Biol Med 2017, 9:e1352. doi: 10.1002/wsbm.1352. For further resources related to this article, please visit the WIREs website.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Matabolomics  
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Physiology of Model Organisms  
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Wavelets  
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Systems Biology  
dc.subject.classification
Otras Ciencias Biológicas  
dc.subject.classification
Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and back  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-05T16:08:54Z  
dc.journal.volume
9  
dc.journal.number
1  
dc.journal.pagination
1-30  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Kurz, Felix T.. Heidelberg University Hospital; Alemania. Harvard Medical School; Estados Unidos  
dc.description.fil
Fil: Kembro, Jackelyn Melissa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina  
dc.description.fil
Fil: Flesia, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina  
dc.description.fil
Fil: Armoundas, Antonis A.. Harvard Medical School; Estados Unidos  
dc.description.fil
Fil: Cortassa, Sonia del Carmen. University Johns Hopkins; Estados Unidos  
dc.description.fil
Fil: Aon, Miguel A.. Johns Hopkins University; Estados Unidos  
dc.description.fil
Fil: Lloyd, David. Cardiff University; Reino Unido  
dc.journal.title
Wiley Interdisciplinary Reviews: Systems Biology and Medicine  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/wsbm.1352  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1002/wsbm.1352