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

Detalhes bibliográficos
Autor(a) principal: Gamermann, Daniel
Data de Publicação: 2014
Outros Autores: Montagud Aquino, Arnau, Conejero Casares, Alberto, Urchueguía Schölzel, Javier Fermín, Fernández de Córdoba Castellá, Pedro José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/103719
Resumo: 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.
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spelling Gamermann, DanielMontagud Aquino, ArnauConejero Casares, AlbertoUrchueguía Schölzel, Javier FermínFernández de Córdoba Castellá, Pedro José2014-09-24T02:12:49Z20141066-5277http://hdl.handle.net/10183/103719000922064A 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.application/pdfengJournal of computational biology : a journal of computational molecular cell biology. New York, NY. Vol. 21, no. 7 (July 2014), p. 508–519FilogeniaRedesBiologia computacionalConectividadeConnectivityGenome-scale metabolic modelsNetworksPhylogenyNew approach for phylogenetic tree recovery based on genome-scale metabolic networkssEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000922064.pdf000922064.pdfTexto completo (inglês)application/pdf288263http://www.lume.ufrgs.br/bitstream/10183/103719/1/000922064.pdf6971e1e0a0972b0731cf23e6241e40eaMD51TEXT000922064.pdf.txt000922064.pdf.txtExtracted Texttext/plain38066http://www.lume.ufrgs.br/bitstream/10183/103719/2/000922064.pdf.txt2605cd531e5a3376dc634b8c8d282c77MD52THUMBNAIL000922064.pdf.jpg000922064.pdf.jpgGenerated Thumbnailimage/jpeg1923http://www.lume.ufrgs.br/bitstream/10183/103719/3/000922064.pdf.jpg2be18071895b69308982928d3c5df1dfMD5310183/1037192023-07-15 03:28:55.02563oai:www.lume.ufrgs.br:10183/103719Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-15T06:28:55Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
title New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
spellingShingle New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
Gamermann, Daniel
Filogenia
Redes
Biologia computacional
Conectividade
Connectivity
Genome-scale metabolic models
Networks
Phylogeny
title_short New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
title_full New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
title_fullStr New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
title_full_unstemmed New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
title_sort New approach for phylogenetic tree recovery based on genome-scale metabolic networkss
author Gamermann, Daniel
author_facet Gamermann, Daniel
Montagud Aquino, Arnau
Conejero Casares, Alberto
Urchueguía Schölzel, Javier Fermín
Fernández de Córdoba Castellá, Pedro José
author_role author
author2 Montagud Aquino, Arnau
Conejero Casares, Alberto
Urchueguía Schölzel, Javier Fermín
Fernández de Córdoba Castellá, Pedro José
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gamermann, Daniel
Montagud Aquino, Arnau
Conejero Casares, Alberto
Urchueguía Schölzel, Javier Fermín
Fernández de Córdoba Castellá, Pedro José
dc.subject.por.fl_str_mv Filogenia
Redes
Biologia computacional
Conectividade
topic Filogenia
Redes
Biologia computacional
Conectividade
Connectivity
Genome-scale metabolic models
Networks
Phylogeny
dc.subject.eng.fl_str_mv Connectivity
Genome-scale metabolic models
Networks
Phylogeny
description 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.
publishDate 2014
dc.date.accessioned.fl_str_mv 2014-09-24T02:12:49Z
dc.date.issued.fl_str_mv 2014
dc.type.driver.fl_str_mv Estrangeiro
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dc.identifier.issn.pt_BR.fl_str_mv 1066-5277
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dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv Journal of computational biology : a journal of computational molecular cell biology. New York, NY. Vol. 21, no. 7 (July 2014), p. 508–519
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