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Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking.
Donzelli, Sara; Ciuffreda, Ludovica; Pontone, Martina; Betti, Martina; Massacci, Alice; Mottini, Carla; De Nicola, Francesca; Orlandi, Giulia; Goeman, Frauke; Giuliani, Eugenia; Sperandio, Eleonora; Piaggio, Giulia; Morrone, Aldo; Ciliberto, Gennaro; Fanciulli, Maurizio; Blandino, Giovanni; Pimpinelli, Fulvia; Pallocca, Matteo.
Afiliação
  • Donzelli S; Oncogenomics and Epigenetics, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Ciuffreda L; SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Pontone M; Microbiology and Virology Unit, IRCCS San Gallicano Dermatological Institute, Rome, Italy.
  • Betti M; Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Massacci A; Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Mottini C; SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • De Nicola F; SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Orlandi G; Scientific Direction, IRCCS San Gallicano Dermatological Institute, Rome, Italy.
  • Goeman F; SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Giuliani E; Scientific Direction, IRCCS San Gallicano Dermatological Institute, Rome, Italy.
  • Sperandio E; Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Piaggio G; SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Morrone A; Scientific Direction, IRCCS San Gallicano Dermatological Institute, Rome, Italy.
  • Ciliberto G; Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Fanciulli M; SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Blandino G; Oncogenomics and Epigenetics, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Pimpinelli F; Microbiology and Virology Unit, IRCCS San Gallicano Dermatological Institute, Rome, Italy.
  • Pallocca M; Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Comput Struct Biotechnol J ; 20: 2558-2563, 2022.
Article em En | MEDLINE | ID: mdl-35611117
The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting interventions to contain novel outbreaks. This scenario poses a challenge for NGS laboratories worldwide that are pressed to have both a faster turnaround time and a high-throughput processing of swabs for sequencing and analysis. In this study, we present an optimization of the Illumina COVID-seq protocol carried out on thousands of SARS-CoV-2 samples at the wet and dry level. We discuss the unique challenges related to processing hundreds of swabs per week such as the tradeoff between ultra-high sensitivity and negative contamination levels, cost efficiency and bioinformatics quality metrics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália
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