Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models.

Rezen, Tadeja; Martins, Alexandre; Mraz, Miha; Zimic, Nikolaj; Rozman, Damjana; Moskon, Miha

Rezen, Tadeja; Martins, Alexandre; Mraz, Miha; Zimic, Nikolaj; Rozman, Damjana; Moskon, Miha.

Affiliation

Rezen T; Centre for Functional Genomics and Bio-Chips, Institute for Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Martins A; ESIGELEC Graduate School of Engineering, Rouen, France.
Mraz M; Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Zimic N; Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Rozman D; Centre for Functional Genomics and Bio-Chips, Institute for Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Moskon M; Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia. Electronic address: miha.moskon@fri.uni-lj.si.

Comput Biol Med ; 145: 105428, 2022 06.

Article de En | MEDLINE | ID: mdl-35339845

Sujet(s)
Mots clés

COVID-19; Context-specific models; Genome-scale metabolic models; Metabolic enrichment analysis; Model extraction methods

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: COVID-19 Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Comput Biol Med Année: 2022 Type de document: Article Pays d'affiliation: Slovénie Pays de publication: États-Unis d'Amérique

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