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MicrobiomeCensus estimates human population sizes from wastewater samples based on inter-individual variability in gut microbiomes.
Zhang, Lin; Chen, Likai; Yu, Xiaoqian Annie; Duvallet, Claire; Isazadeh, Siavash; Dai, Chengzhen; Park, Shinkyu; Frois-Moniz, Katya; Duarte, Fabio; Ratti, Carlo; Alm, Eric J; Ling, Fangqiong.
Afiliación
  • Zhang L; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America.
  • Chen L; Department of Mathematics, Washington University in St. Louis, St. Louis, Missouri, United States of America.
  • Yu XA; Department of Biology, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Duvallet C; Department of Biological Engineering, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Isazadeh S; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Dai C; Department of Biological Engineering, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Park S; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Frois-Moniz K; SENSEable City Lab, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Duarte F; SENSEable City Lab, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Ratti C; Department of Biological Engineering, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Alm EJ; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Ling F; SENSEable City Lab, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
PLoS Comput Biol ; 18(9): e1010472, 2022 09.
Article en En | MEDLINE | ID: mdl-36149894
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_zoonosis Asunto principal: Microbioma Gastrointestinal / COVID-19 Tipo de estudio: Risk_factors_studies / Screening_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_zoonosis Asunto principal: Microbioma Gastrointestinal / COVID-19 Tipo de estudio: Risk_factors_studies / Screening_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos