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

doi:10.3390/cimb43020061

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 journal › Review article › peer-review

102 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 language	English (US)
Pages (from-to)	845-867
Number of pages	23
Journal	Current Issues in Molecular Biology
Volume	43
Issue number	2
DOIs	https://doi.org/10.3390/cimb43020061
State	Published - Sep 2021

All Science Journal Classification (ASJC) codes

Microbiology
Molecular Biology
Microbiology (medical)

Access to Document

10.3390/cimb43020061

Cite this

@article{627fbda94f3b4e358a0c7f4d12f9bdf3,

title = "Next-generation sequencing (Ngs) in covid-19: A tool for sars-cov-2 diagnosis, monitoring new strains and phylodynamic modeling in molecular epidemiology",

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.",

author = "Goldin John and Sahajpal, \{Nikhil Shri\} and Mondal, \{Ashis K.\} and Sudha Ananth and Colin Williams and Alka Chaubey and Rojiani, \{Amyn M.\} and Ravindra Kolhe",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = sep,

doi = "10.3390/cimb43020061",

language = "English (US)",

volume = "43",

pages = "845--867",

journal = "Current Issues in Molecular Biology",

issn = "1467-3037",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "2",

}

Next-generation sequencing (Ngs) in covid-19: A tool for sars-cov-2 diagnosis, monitoring new strains and phylodynamic modeling in molecular epidemiology. / John, Goldin; Sahajpal, Nikhil Shri; Mondal, Ashis K. et al.
In: Current Issues in Molecular Biology, Vol. 43, No. 2, 09.2021, p. 845-867.

Research output: Contribution to journal › Review article › peer-review

TY - JOUR

T1 - Next-generation sequencing (Ngs) in covid-19

T2 - A tool for sars-cov-2 diagnosis, monitoring new strains and phylodynamic modeling in molecular epidemiology

AU - John, Goldin

AU - Sahajpal, Nikhil Shri

AU - Mondal, Ashis K.

AU - Ananth, Sudha

AU - Williams, Colin

AU - Chaubey, Alka

AU - Rojiani, Amyn M.

AU - Kolhe, Ravindra

PY - 2021/9

Y1 - 2021/9

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85111783394

UR - https://www.scopus.com/pages/publications/85111783394#tab=citedBy

U2 - 10.3390/cimb43020061

DO - 10.3390/cimb43020061

M3 - Review article

C2 - 34449545

AN - SCOPUS:85111783394

SN - 1467-3037

VL - 43

SP - 845

EP - 867

JO - Current Issues in Molecular Biology

JF - Current Issues in Molecular Biology

IS - 2

ER -

Next-generation sequencing (Ngs) in covid-19: A tool for sars-cov-2 diagnosis, monitoring new strains and phylodynamic modeling in molecular epidemiology

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this