
Automated Library Construction and Analysis for High-throughput Nanopore Sequencing of SARS-CoV-2
Author(s) -
Robin Coope,
Nancy Matic,
Pawan Pandoh,
Richard Corbett,
Duane E. Smailus,
Stephen Pleasance,
Christopher F. Lowe,
Gordon Ritchie,
Samuel D. Chorlton,
Matthew Young,
Adrian Ally,
Jennifer Asano,
Rebecca Carlsen,
Sundeep S Chahal,
Yongjun Zhao,
Daniel T. Holmes,
Marc G. Romney,
Steve Jones,
Marco A. Marra
Publication year - 2022
Publication title -
the journal of applied laboratory medicine
Language(s) - English
Resource type - Journals
eISSN - 2576-9456
pISSN - 2475-7241
DOI - 10.1093/jalm/jfac054
Subject(s) - minion , amplicon , nanopore sequencing , normalization (sociology) , deep sequencing , biology , computational biology , sample (material) , amplicon sequencing , sequence analysis , dna sequencing , polymerase chain reaction , genetics , chromatography , gene , genome , chemistry , 16s ribosomal rna , sociology , anthropology
To support the implementation of high-throughput pipelines suitable for SARS-CoV-2 sequencing and analysis in a clinical laboratory, we developed an automated sample preparation and analysis workflow.