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Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques.
Baaijens, Jasmijn A; Zulli, Alessandro; Ott, Isabel M; Nika, Ioanna; van der Lugt, Mart J; Petrone, Mary E; Alpert, Tara; Fauver, Joseph R; Kalinich, Chaney C; Vogels, Chantal B F; Breban, Mallery I; Duvallet, Claire; McElroy, Kyle A; Ghaeli, Newsha; Imakaev, Maxim; Mckenzie-Bennett, Malaika F; Robison, Keith; Plocik, Alex; Schilling, Rebecca; Pierson, Martha; Littlefield, Rebecca; Spencer, Michelle L; Simen, Birgitte B; Hanage, William P; Grubaugh, Nathan D; Peccia, Jordan; Baym, Michael.
Afiliação
  • Baaijens JA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. j.a.baaijens@tudelft.nl.
  • Zulli A; Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands. j.a.baaijens@tudelft.nl.
  • Ott IM; Department of Chemical and Environmental Engineering, Yale University, New Haven, CT, USA.
  • Nika I; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • van der Lugt MJ; Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands.
  • Petrone ME; Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands.
  • Alpert T; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Fauver JR; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Kalinich CC; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Vogels CBF; Department of Epidemiology, University of Nebraska Medical Center, Omaha, NE, USA.
  • Breban MI; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Duvallet C; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • McElroy KA; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Ghaeli N; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Imakaev M; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Mckenzie-Bennett MF; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Robison K; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Plocik A; Ginkgo Bioworks, Inc., Boston, MA, USA.
  • Schilling R; Ginkgo Bioworks, Inc., Boston, MA, USA.
  • Pierson M; Ginkgo Bioworks, Inc., Boston, MA, USA.
  • Littlefield R; Ginkgo Bioworks, Inc., Boston, MA, USA.
  • Spencer ML; Ginkgo Bioworks, Inc., Boston, MA, USA.
  • Simen BB; Ginkgo Bioworks, Inc., Boston, MA, USA.
  • Hanage WP; Ginkgo Bioworks, Inc., Boston, MA, USA.
  • Peccia J; Center for Communicable Disease Dynamics and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Baym M; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Genome Biol ; 23(1): 236, 2022 11 08.
Article em En | MEDLINE | ID: mdl-36348471
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article