Mass Spectrometry Data Repository Enhances Novel Metabolite Discoveries with Advances in Computational Metabolomics.

Tsugawa, Hiroshi; Satoh, Aya; Uchino, Haruki; Cajka, Tomas; Arita, Makoto; Arita, Masanori

Tsugawa, Hiroshi; Satoh, Aya; Uchino, Haruki; Cajka, Tomas; Arita, Makoto; Arita, Masanori.

Afiliación

Tsugawa H; Metabolome informatics research team, RIKEN Center for Sustainable Resource Science, Yokohama 230-0045, Japan. hiroshi.tsugawa@riken.jp.
Satoh A; Laboratory for metabolomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan. hiroshi.tsugawa@riken.jp.
Uchino H; Metabolome informatics research team, RIKEN Center for Sustainable Resource Science, Yokohama 230-0045, Japan. aya.hayaishi@riken.jp.
Cajka T; Laboratory for metabolomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan. haruki-uchino@keio.jp.
Arita M; Division of Physiological Chemistry and Metabolism, Graduate School of Pharmaceutical Sciences, Keio University, Minato-ku, Tokyo 105-8512, Japan. haruki-uchino@keio.jp.
Arita M; Department of Metabolomics, Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14220 Prague, Czech Republic. tomas.cajka@fgu.cas.cz.

Metabolites ; 9(6)2019 Jun 24.

Article en En | MEDLINE | ID: mdl-31238512

Palabras clave

computational metabolomics; data processing; data repository; lipidomics; reanalysis

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Metabolites Año: 2019 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google