Your browser doesn't support javascript.
loading
Boolean analysis reveals systematic interactions among low-abundance species in the human gut microbiome.
Claussen, Jens Christian; Skieceviciene, Jurgita; Wang, Jun; Rausch, Philipp; Karlsen, Tom H; Lieb, Wolfgang; Baines, John F; Franke, Andre; Hütt, Marc-Thorsten.
Afiliação
  • Claussen JC; Computational Systems Biology, Department of Life Sciences and Chemistry, Jacobs University Bremen, Campus Ring 1, D-28759 Bremen, Germany.
  • Skieceviciene J; Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.
  • Wang J; Institute for Experimental Medicine, Christian Albrechts University of Kiel, Kiel, Germany.
  • Rausch P; Institute for Experimental Medicine, Christian Albrechts University of Kiel, Kiel, Germany.
  • Karlsen TH; Institute for Experimental Medicine, Christian Albrechts University of Kiel, Kiel, Germany.
  • Lieb W; Max Planck Institute for Evolutionary Biology, D-24306 Plön, Germany.
  • Baines JF; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Postbox 1171 Blindern, 0318 Oslo, Norway.
  • Franke A; Norwegian PSC Research Center, Department of Transplantation Medicine, Division of Cancer Medicine, Surgery and Transplantation, Oslo University Hospital Rikshospitalet, Postbox 4950 Nydalen, 0424 Oslo, Norway.
  • Hütt MT; Institute of Epidemiology and Biobank PopGen, Christian Albrechts University of Kiel, Kiel, Germany.
PLoS Comput Biol ; 13(6): e1005361, 2017 Jun.
Article em En | MEDLINE | ID: mdl-28640804
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Trato Gastrointestinal / Interações Microbianas / Microbiota / Microbioma Gastrointestinal / Modelos Biológicos Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Trato Gastrointestinal / Interações Microbianas / Microbiota / Microbioma Gastrointestinal / Modelos Biológicos Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Alemanha