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Development and scaling of a sequencing pipeline for genomic surveillance of SARS-CoV-2 in New York City
Michael J Hammerling; Shinyoung Clair Kang; William Ward; Isabel Fernandez Escapa; Pradeep Bugga; Cybill Del Castillo; Melissa Hopkins; Steven Chase; Sol Rey; Dylan Law; Alexander Carpio; Kate Nelson; Simran Chhabria; Simran Gupta; Tiara Rivera; Jon M Laurent; Haiping Hao; Henry H Lee.
Afiliação
  • Michael J Hammerling; Pandemic Response Lab
  • Shinyoung Clair Kang; Cultivarium
  • William Ward; Pandemic Response Lab
  • Isabel Fernandez Escapa; Pandemic Response Lab
  • Pradeep Bugga; Kern Systems
  • Cybill Del Castillo; Pandemic Response Lab
  • Melissa Hopkins; Pandemic Response Lab
  • Steven Chase; Pandemic Response Lab
  • Sol Rey; Pandemic Response Lab
  • Dylan Law; Pandemic Response Lab
  • Alexander Carpio; Pandemic Response Lab
  • Kate Nelson; Pandemic Response Lab
  • Simran Chhabria; Pandemic Response Lab
  • Simran Gupta; Pandemic Response Lab
  • Tiara Rivera; Pandemic Response Lab
  • Jon M Laurent; Pandemic Response Lab
  • Haiping Hao; Pandemic Response Lab
  • Henry H Lee; Cultivarium
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22273991
ABSTRACT
In the ongoing COVID-19 pandemic, detecting the appearance and spread of variants of concern (VOC) is a critical capability in the fight to quell the virus and return to normalcy. Genomic surveillance of the emergence, propagation, and geographical spread of VOCs is thus an important tool for public health officials and government leaders to make policy decisions and advise the public. As part of our role as a major SARS-CoV-2 diagnostic testing facility in New York City, the Pandemic Response Lab (PRL) has been performing genomic surveillance on the large number of positive samples processed by the facility on a daily basis from throughout the New York metropolitan area. Here we describe the development and optimization of a high-throughput SARS-CoV-2 genome sequencing facility at PRL serving New York City.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Preprint