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Genomic landscape of the SARS-CoV-2 pandemic in Brazil suggests an external P.1 variant origin.
Perico, Camila P; De Pierri, Camilla R; Neto, Giuseppe Pasqualato; Fernandes, Danrley R; Pedrosa, Fabio O; de Souza, Emanuel M; Raittz, Roberto T.
Afiliação
  • Perico CP; Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil.
  • De Pierri CR; Graduate Program in Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil.
  • Neto GP; Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil.
  • Fernandes DR; Department of Biochemistry and Molecular Biology, Federal University of Paraná, Curitiba, Brazil.
  • Pedrosa FO; Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil.
  • de Souza EM; Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil.
  • Raittz RT; Graduate Program in Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil.
Front Microbiol ; 13: 1037455, 2022.
Article em En | MEDLINE | ID: mdl-36620039
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: Front Microbiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: Front Microbiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil