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Enabling Efficient and Confident Annotation of LC-MS Metabolomics Data through MS1 Spectrum and Time Prediction.
Broeckling, Corey D; Ganna, Andrea; Layer, Mark; Brown, Kevin; Sutton, Ben; Ingelsson, Erik; Peers, Graham; Prenni, Jessica E.
Afiliação
  • Broeckling CD; Proteomics and Metabolomics Facility, Colorado State University , C-121 Microbiology Building, 2021 Campus Delivery, Fort Collins, Colorado 80523, United States.
  • Ganna A; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard and Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts 02114, United States.
  • Layer M; Research Software Facility, Soil and Crop Sciences, Colorado State University , Fort Collins, Colorado 80523, United States.
  • Brown K; Department of Biology, Colorado State University , Fort Collins, Colorado 80523, United States.
  • Sutton B; Research Software Facility, Soil and Crop Sciences, Colorado State University , Fort Collins, Colorado 80523, United States.
  • Ingelsson E; Research Software Facility, Soil and Crop Sciences, Colorado State University , Fort Collins, Colorado 80523, United States.
  • Peers G; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine , Stanford, California 94305, United States.
  • Prenni JE; Department of Biology, Colorado State University , Fort Collins, Colorado 80523, United States.
Anal Chem ; 88(18): 9226-34, 2016 09 20.
Article em En | MEDLINE | ID: mdl-27560453

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromatografia Líquida / Espectrometria de Massas por Ionização por Electrospray / Metabolômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Anal Chem Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromatografia Líquida / Espectrometria de Massas por Ionização por Electrospray / Metabolômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Anal Chem Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos