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Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment.
Bokulich, Nicholas A; Laniewski, Pawel; Adamov, Anja; Chase, Dana M; Caporaso, J Gregory; Herbst-Kralovetz, Melissa M.
Affiliation
  • Bokulich NA; Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Switzerland.
  • Laniewski P; Department of Basic Medical Sciences, College of Medicine-Phoenix, University of Arizona, Phoenix, Arizona, United States of America.
  • Adamov A; Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Switzerland.
  • Chase DM; Arizona Oncology, Phoenix, Arizona, United States of America.
  • Caporaso JG; Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
  • Herbst-Kralovetz MM; Department of Basic Medical Sciences, College of Medicine-Phoenix, University of Arizona, Phoenix, Arizona, United States of America.
PLoS Comput Biol ; 18(2): e1009876, 2022 02.
Article in En | MEDLINE | ID: mdl-35196323
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolome / Microbiota Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: Switzerland
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolome / Microbiota Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: Switzerland