Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/35204

TítuloReconstructing genome-scale metabolic models with merlin
Autor(es)Dias, Oscar
Rocha, Miguel
Ferreira, Eugénio C.
Rocha, I.
Data2015
EditoraOxford University Press
RevistaNucleic acids research
CitaçãoDias, O.; Rocha, Miguel; Ferreira, E. C.; Rocha, I., Reconstructing genome-scale metabolic models with merlin. Nucleic Acids Research, 43(8), 3899-3910, 2015
Resumo(s)The Metabolic Models Reconstruction Using Genome-Scale Information (merlin) tool is a user-friendly Java application that aids the reconstruction of genome-scale metabolic models for any organism that has its genome sequenced. It performs the major steps of the reconstruction process, including the functional genomic annotation of the whole genome and subsequent construction of the portfolio of reactions. Moreover, merlin includes tools for the identification and annotation of genes encoding transport proteins, generating the transport reactions for those carriers. It also performs the compartmentalisation of the model, predicting the organelle localisation of the proteins encoded in the genome and thus the localisation of the metabolites involved in the reactions promoted by such enzymes. The gene-proteins-reactions (GPR) associations are automatically generated and included in the model. Finally, merlin expedites the transition from genomic data to draft metabolic models reconstructions exported in the SBML standard format, allowing the user to have a preliminary view of the biochemical network, which can be manually curated within the environment provided by merlin.
TipoArtigo
URIhttps://hdl.handle.net/1822/35204
DOI10.1093/nar/gkv294
ISSN0305-1048
e-ISSN1362-4962
Versão da editorahttp://nar.oxfordjournals.org/
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
document_19902_1.pdf2,77 MBAdobe PDFVer/Abrir

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID