IDSL.UFA Assigns High-Confidence Molecular Formula Annotations for Untargeted LC/HRMS Data Sets in Metabolomics and Exposomics.

Baygi, Sadjad Fakouri; Banerjee, Sanjay K; Chakraborty, Praloy; Kumar, Yashwant; Barupal, Dinesh Kumar

Baygi, Sadjad Fakouri; Banerjee, Sanjay K; Chakraborty, Praloy; Kumar, Yashwant; Barupal, Dinesh Kumar.

Afiliación

Baygi SF; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Banerjee SK; Non-communicable Diseases Division, Translational Health Science and Technology Institute, Faridabad, Haryana 121001, India.
Chakraborty P; Non-communicable Diseases Division, Translational Health Science and Technology Institute, Faridabad, Haryana 121001, India.
Kumar Y; Non-communicable Diseases Division, Translational Health Science and Technology Institute, Faridabad, Haryana 121001, India.
Barupal DK; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.

Anal Chem ; 94(39): 13315-13322, 2022 10 04.

Article en En | MEDLINE | ID: mdl-36137231

Asunto(s)

Metabolómica; Espectrometría de Masas en Tándem; Alcoholes; Cromatografía Liquida/métodos; Humanos; Metaboloma; Metabolómica/métodos; Espectrometría de Masas en Tándem/métodos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Masas en Tándem / Metabolómica Límite: Humans Idioma: En Revista: Anal Chem Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google