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Methods for sequencing the pandemic: benefits of rapid or high-throughput processing

Genomic epidemiology has proven successful for real-time and retrospective monitoring of small and large-scale outbreaks. Here, we report two genomic sequencing and analysis strategies for rapid-turnaround or high-throughput processing of metagenomic samples. The rapid-turnaround method was designed...

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Detalles Bibliográficos
Autores principales: Folkerts, Megan L., Lemmer, Darrin, Pfeiffer, Ashlyn, Vasquez, Danielle, French, Chris, Jones, Amber, Nguyen, Marjorie, Larsen, Brendan, Porter, W. Tanner, Sheridan, Krystal, Bowers, Jolene R., Engelthaler, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921685/
https://www.ncbi.nlm.nih.gov/pubmed/35342619
http://dx.doi.org/10.12688/f1000research.28352.2
Descripción
Sumario:Genomic epidemiology has proven successful for real-time and retrospective monitoring of small and large-scale outbreaks. Here, we report two genomic sequencing and analysis strategies for rapid-turnaround or high-throughput processing of metagenomic samples. The rapid-turnaround method was designed to provide a quick phylogenetic snapshot of samples at the heart of active outbreaks, and has a total turnaround time of <48 hours from raw sample to analyzed data. The high-throughput method, first reported here for SARS-CoV2, was designed for semi-retrospective data analysis, and is both cost effective and highly scalable. Though these methods were developed and utilized for the SARS-CoV-2 pandemic response in Arizona, U.S, we envision their use for infectious disease epidemiology in the 21 (st) Century.