Identifying and quantifying metabolites by scoring peaks of GC-MS data.

Aggio, Raphael B M; Mayor, Arno; Reade, Sophie; Probert, Chris S J; Ruggiero, Katya

Aggio, Raphael B M; Mayor, Arno; Reade, Sophie; Probert, Chris S J; Ruggiero, Katya.

Afiliação

Aggio RB; The University of Auckland, 3A Symonds Street, Auckland, 1142, New Zealand. ragg005@aucklanduni.ac.nz.
Mayor A; Department of Gastroenterology, Institute of Translational Medicine, University of Liverpool, Nuffield Building, Crown Street, L693BX Liverpool, UK. ragg005@aucklanduni.ac.nz.
Reade S; Department of Gastroenterology, Institute of Translational Medicine, University of Liverpool, Nuffield Building, Crown Street, L693BX Liverpool, UK. arnom@liverpool.ac.uk.
Probert CS; Department of Gastroenterology, Institute of Translational Medicine, University of Liverpool, Nuffield Building, Crown Street, L693BX Liverpool, UK. S.Reade@student.liverpool.ac.uk.
Ruggiero K; Department of Gastroenterology, Institute of Translational Medicine, University of Liverpool, Nuffield Building, Crown Street, L693BX Liverpool, UK. Chris.Probert@liverpool.ac.uk.

BMC Bioinformatics ; 15: 374, 2014 Dec 10.

Article em En | MEDLINE | ID: mdl-25492550

Assuntos

Algoritmos; Fezes/química; Cromatografia Gasosa-Espectrometria de Massas/métodos; Metaboloma; Metabolômica/métodos; Compostos Orgânicos Voláteis/análise; Animais; Feminino; Masculino; Camundongos; Camundongos Endogâmicos C57BL; Padrões de Referência; Software

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Compostos Orgânicos Voláteis / Metaboloma / Metabolômica / Fezes / Cromatografia Gasosa-Espectrometria de Massas Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2014 Tipo de documento: Article

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