Next-generation sequencing (Ngs) in covid-19: 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 journalReview articlepeer-review

3 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 - Sep 2021

All Science Journal Classification (ASJC) codes

  • Microbiology
  • Molecular Biology
  • Microbiology (medical)

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