Next-Generation Sequencing (NGS) in COVID-19: A Tool for SARS-CoV-2 Diagnosis, Monitoring New Strains and Phylodynamic Modeling in Molecular Epidemiology: A Tool for SARS-CoV-2 Diagnosis, Monitoring New Strains and Phylodynamic Modeling in Molecular Epidemiology

Goldin John, Nikhil Shri Sahajpal, Ashis K Mondal, Sudha Ananth, Colin Williams, Alka Chaubey, Amyn M Rojiani, Ravindra Kolhe

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

This review discusses the current testing methodologies for COVID-19 diagnosis and explores next-generation sequencing (NGS) technology for the detection of SARS-CoV-2 and monitoring phylogenetic evolution in the current COVID-19 pandemic. The review addresses the development, fundamentals, assay quality control and bioinformatics processing of the NGS data. This article provides a comprehensive review of the obstacles and opportunities facing the application of NGS technologies for the diagnosis, surveillance, and study of SARS-CoV-2 and other infectious diseases. Further, we have contemplated the opportunities and challenges inherent in the adoption of NGS technology as a diagnostic test with real-world examples of its utility in the fight against COVID-19.

Original languageEnglish (US)
Pages (from-to)845-867
Number of pages23
JournalCurrent Issues in Molecular Biology
Volume43
Issue number2
DOIs
StatePublished - Jul 30 2021

Keywords

  • COVID-19/diagnosis
  • Computational Biology/methods
  • High-Throughput Nucleotide Sequencing/methods
  • Humans
  • Molecular Epidemiology/methods
  • Pandemics
  • Phylogeny
  • SARS-CoV-2/genetics

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