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Compositionally Aware Phylogenetic Beta-Diversity Measures Better Resolve Microbiomes Associated with Phenotype.
Martino, Cameron; McDonald, Daniel; Cantrell, Kalen; Dilmore, Amanda Hazel; Vázquez-Baeza, Yoshiki; Shenhav, Liat; Shaffer, Justin P; Rahman, Gibraan; Armstrong, George; Allaband, Celeste; Song, Se Jin; Knight, Rob.
Afiliação
  • Martino C; Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
  • McDonald D; Bioinformatics and Systems Biology Program, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
  • Cantrell K; Center for Microbiome Innovation, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
  • Dilmore AH; Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
  • Vázquez-Baeza Y; Center for Microbiome Innovation, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
  • Shenhav L; Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA.
  • Shaffer JP; Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
  • Rahman G; Biomedical Sciences Program, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
  • Armstrong G; Center for Microbiome Innovation, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
  • Allaband C; Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA.
  • Song SJ; Center For Studies in Physics and Biology, Rockefeller University, New York, New York, USA.
  • Knight R; Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.
mSystems ; 7(3): e0005022, 2022 06 28.
Article em En | MEDLINE | ID: mdl-35477286
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: MSystems Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: MSystems Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos