Artigo de periodico

Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data (2024)

• Authors:
  • Sutcliffe, Steven G.
  • Kraemer, Susanne A.
  • Ellmen, Isaac
  • Knapp, Jennifer J.
  • Overton, Alyssa K.
  • Nash, Delaney
  • Nissimov, Jozef I.
  • Charles, Trevor C.
  • Dreifuss, David
  • Topolsky, Ivan
  • Baykal, Pelin I.
  • Fuhrmann, Lara
  • Jablonski, Kim P.
  • Beerenwinkel, Niko
  • Levy, Joshua I.
  • Olabode, Abayomi S.
  • Becker, Devan G.
  • Gugan, Gopi
  • Brintnell, Erin
  • Poon, Art F. Y.
  • Valieris, Renan
  • Drummond, Rodrigo Duarte
  • Defelicibus, Alexandre
  • Dias Neto, Emmanuel
  • Mitrowsky, Rafael Andres Rosales
  • Silva, Israel Tojal da
  • Orfanou, Aspasia
  • Psomopoulos, Fotis
  • Pechlivanis, Nikolaos
  • Pipes, Lenore
  • Chen, Zihao
  • Baaijens, Jasmijn A.
  • Baym, Michael
  • Shapiro, B. Jesse
• USP affiliated authors: MITROWSKY, RAFAEL ANDRES ROSALES - FFCLRP ; SILVA, ISRAEL TOJAL DA - ICMC
• Unidades: FFCLRP; ICMC
• DOI: 10.1099/mgen.0.001249
• Subjects: COVID-19; BIOINFORMÁTICA; GENOMAS; GENÔMICA; ÁGUAS RESIDUÁRIAS
• Keywords: Benchmark; Environmental; Sequencing; Surveillance; Wastewater
• Agências de fomento:
  • Financiamento CIHR
• Language: Inglês
• Imprenta:
  • Publisher place: London
  • Date published: 2024
• Source:
  • Título: Microbial Genomics
  • ISSN: 2057-5858
  • Volume/Número/Paginação/Ano: v. 10, n. 5, art. 001249, p. 1-13, 2024

Informações sobre o DOI: 10.1099/mgen.0.001249 (Fonte: oaDOI API)
• Este periódico é de acesso aberto
• Este artigo NÃO é de acesso aberto
  

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• ABNT

  SUTCLIFFE, Steven G. et al. Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data. Microbial Genomics, v. 10, n. 5, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1099/mgen.0.001249. Acesso em: 14 fev. 2026.

• APA

  Sutcliffe, S. G., Kraemer, S. A., Ellmen, I., Knapp, J. J., Overton, A. K., Nash, D., et al. (2024). Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data. Microbial Genomics, 10( 5), 1-13. doi:10.1099/mgen.0.001249

• NLM

  Sutcliffe SG, Kraemer SA, Ellmen I, Knapp JJ, Overton AK, Nash D, Nissimov JI, Charles TC, Dreifuss D, Topolsky I, Baykal PI, Fuhrmann L, Jablonski KP, Beerenwinkel N, Levy JI, Olabode AS, Becker DG, Gugan G, Brintnell E, Poon AFY, Valieris R, Drummond RD, Defelicibus A, Dias Neto E, Mitrowsky RAR, Silva IT da, Orfanou A, Psomopoulos F, Pechlivanis N, Pipes L, Chen Z, Baaijens JA, Baym M, Shapiro BJ. Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data [Internet]. Microbial Genomics. 2024 ; 10( 5): 1-13.[citado 2026 fev. 14 ] Available from: https://doi.org/10.1099/mgen.0.001249

• Vancouver

  Sutcliffe SG, Kraemer SA, Ellmen I, Knapp JJ, Overton AK, Nash D, Nissimov JI, Charles TC, Dreifuss D, Topolsky I, Baykal PI, Fuhrmann L, Jablonski KP, Beerenwinkel N, Levy JI, Olabode AS, Becker DG, Gugan G, Brintnell E, Poon AFY, Valieris R, Drummond RD, Defelicibus A, Dias Neto E, Mitrowsky RAR, Silva IT da, Orfanou A, Psomopoulos F, Pechlivanis N, Pipes L, Chen Z, Baaijens JA, Baym M, Shapiro BJ. Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data [Internet]. Microbial Genomics. 2024 ; 10( 5): 1-13.[citado 2026 fev. 14 ] Available from: https://doi.org/10.1099/mgen.0.001249

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