New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
dc.contributor.author | Gamermann, Daniel | pt_BR |
dc.contributor.author | Montagud Aquino, Arnau | pt_BR |
dc.contributor.author | Conejero Casares, Alberto | pt_BR |
dc.contributor.author | Urchueguía Schölzel, Javier Fermín | pt_BR |
dc.contributor.author | Fernández de Córdoba Castellá, Pedro José | pt_BR |
dc.date.accessioned | 2014-09-24T02:12:49Z | pt_BR |
dc.date.issued | 2014 | pt_BR |
dc.identifier.issn | 1066-5277 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/103719 | pt_BR |
dc.description.abstract | 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. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | Journal of computational biology : a journal of computational molecular cell biology. New York, NY. Vol. 21, no. 7 (July 2014), p. 508–519 | pt_BR |
dc.rights | Open Access | en |
dc.subject | Filogenia | pt_BR |
dc.subject | Connectivity | en |
dc.subject | Genome-scale metabolic models | en |
dc.subject | Redes | pt_BR |
dc.subject | Networks | en |
dc.subject | Biologia computacional | pt_BR |
dc.subject | Conectividade | pt_BR |
dc.subject | Phylogeny | en |
dc.title | New approach for phylogenetic tree recovery based on genome-scale metabolic networkss | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 000922064 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
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