A Comparative Evaluation of Tools to Predict Metabolite Profiles From Microbiome Sequencing Data.

Yin, Xiaochen; Altman, Tomer; Rutherford, Erica; West, Kiana A; Wu, Yonggan; Choi, Jinlyung; Beck, Paul L; Kaplan, Gilaad G; Dabbagh, Karim; DeSantis, Todd Z; Iwai, Shoko

Yin, Xiaochen; Altman, Tomer; Rutherford, Erica; West, Kiana A; Wu, Yonggan; Choi, Jinlyung; Beck, Paul L; Kaplan, Gilaad G; Dabbagh, Karim; DeSantis, Todd Z; Iwai, Shoko.

Afiliación

Yin X; Second Genome Inc., Brisbane, CA, United States.
Altman T; Altman Analytics LLC, San Francisco, CA, United States.
Rutherford E; Second Genome Inc., Brisbane, CA, United States.
West KA; Second Genome Inc., Brisbane, CA, United States.
Wu Y; Second Genome Inc., Brisbane, CA, United States.
Choi J; Second Genome Inc., Brisbane, CA, United States.
Beck PL; Department of Medicine, University of Calgary, Calgary, AB, Canada.
Kaplan GG; Department of Medicine, University of Calgary, Calgary, AB, Canada.
Dabbagh K; Second Genome Inc., Brisbane, CA, United States.
DeSantis TZ; Second Genome Inc., Brisbane, CA, United States.
Iwai S; Second Genome Inc., Brisbane, CA, United States.

Front Microbiol ; 11: 595910, 2020.

Article en En | MEDLINE | ID: mdl-33343536

Palabras clave

Next Generation Sequence; computational prediction; human microbiome; metabolic potential; metabolome

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Microbiol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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