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New approach for phylogenetic tree recovery based on genome-scale metabolic networks

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New approach for phylogenetic tree recovery based on genome-scale metabolic networks

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dc.contributor.author Gamermann, Daniel es_ES
dc.contributor.author Montagud Aquino, Arnau es_ES
dc.contributor.author Conejero Casares, José Alberto es_ES
dc.contributor.author Urchueguía Schölzel, Javier Fermín es_ES
dc.contributor.author Fernández de Córdoba Castellá, Pedro José es_ES
dc.date.accessioned 2015-06-03T10:14:50Z
dc.date.available 2015-06-03T10:14:50Z
dc.date.issued 2014-07
dc.identifier.issn 1066-5277
dc.identifier.uri http://hdl.handle.net/10251/51205
dc.description.abstract [EN] A wide range of applications and research has been done with genome-scale metabolic models. In this work, we describe an innovative methodology for comparing metabolic networks constructed from genome-scale metabolic models and how to apply this comparison in order to infer evolutionary distances between different organisms. Our methodology allows a quantification of the metabolic differences between different species from a broad range of families and even kingdoms. This quantification is then applied in order to reconstruct phylogenetic trees for sets of various organisms. es_ES
dc.description.sponsorship The research leading to these results has received funding from the European Union Seventh Framework Program (FP7/2007-2013) under grant agreement number 308518 (CyanoFactory). en_EN
dc.language Inglés es_ES
dc.publisher Mary Ann Liebert es_ES
dc.relation.ispartof Journal of Computational Biology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Gamermann es_ES
dc.subject Genome-scale metabolic models es_ES
dc.subject Networks es_ES
dc.subject Phylogeny es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title New approach for phylogenetic tree recovery based on genome-scale metabolic networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1089/cmb.2013.0150
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/308518 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Gamermann, D.; Montagud Aquino, A.; Conejero Casares, JA.; Urchueguía Schölzel, JF.; Fernández De Córdoba Castellá, PJ. (2014). New approach for phylogenetic tree recovery based on genome-scale metabolic networks. Journal of Computational Biology. 21(7):508-519. https://doi.org/10.1089/cmb.2013.0150 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1089/cmb.2013.0150 es_ES
dc.description.upvformatpinicio 508 es_ES
dc.description.upvformatpfin 519 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 21 es_ES
dc.description.issue 7 es_ES
dc.relation.senia 267811
dc.identifier.pmid 24611553 en_EN
dc.identifier.pmcid PMC4082356 en_EN
dc.contributor.funder European Commission


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