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Discriminating precursors of common fragments for large-scale metabolite profiling by triple quadrupole mass spectrometry.
Nikolskiy, Igor; Siuzdak, Gary; Patti, Gary J.
Afiliación
  • Nikolskiy I; Department of Genetics, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA, Scripps Center for Metabolomics and Mass Spectrometry, Departments of Chemistry, Molecular and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, USA and Department of Chemistry, Washington University, St. Louis, MO 63130, USA.
  • Siuzdak G; Department of Genetics, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA, Scripps Center for Metabolomics and Mass Spectrometry, Departments of Chemistry, Molecular and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, USA and Department of Chemistry, Washington University, St. Louis, MO 63130, USA.
  • Patti GJ; Department of Genetics, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA, Scripps Center for Metabolomics and Mass Spectrometry, Departments of Chemistry, Molecular and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, USA and Department of Chemistry, Washington University, St. Louis, MO 63130, USA Department of Genetics, Department of Medicine, Washington University School of Medicine, St.
Bioinformatics ; 31(12): 2017-23, 2015 Jun 15.
Article en En | MEDLINE | ID: mdl-25691443
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría de Masas / Metabolómica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría de Masas / Metabolómica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido