Fingerprinting cities: differentiating subway microbiome functionality.

Zhu, Chengsheng; Miller, Maximilian; Lusskin, Nick; Mahlich, Yannick; Wang, Yanran; Zeng, Zishuo; Bromberg, Yana

Zhu, Chengsheng; Miller, Maximilian; Lusskin, Nick; Mahlich, Yannick; Wang, Yanran; Zeng, Zishuo; Bromberg, Yana.

Afiliação

Zhu C; Department of Biochemistry and Microbiology, Rutgers University, 76 Lipman Dr, New Brunswick, NJ, 08873, USA. czhu@bromberglab.org.
Miller M; Department of Biochemistry and Microbiology, Rutgers University, 76 Lipman Dr, New Brunswick, NJ, 08873, USA.
Lusskin N; Computational Biology & Bioinformatics - i12 Informatics, Technical University of Munich (TUM), Boltzmannstrasse 3, 85748, Garching/Munich, Germany.
Mahlich Y; TUM Graduate School, Center of Doctoral Studies in Informatics and its Applications (CeDoSIA), Technische Universität München, 85748, Garching/Munich, Germany.
Wang Y; Department of Biochemistry and Microbiology, Rutgers University, 76 Lipman Dr, New Brunswick, NJ, 08873, USA.
Zeng Z; Department of Biochemistry and Microbiology, Rutgers University, 76 Lipman Dr, New Brunswick, NJ, 08873, USA.
Bromberg Y; Computational Biology & Bioinformatics - i12 Informatics, Technical University of Munich (TUM), Boltzmannstrasse 3, 85748, Garching/Munich, Germany.

Biol Direct ; 14(1): 19, 2019 10 30.

Article em En | MEDLINE | ID: mdl-31666099

Assuntos

Metagenoma; Microbiota; Ferrovias; Cidades

Palavras-chave

Function analysis; Machine learning; MetaSUB; Microbiome; mi-faser

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ferrovias / Metagenoma / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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