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

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: 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 › 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 - Jul 30 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.3390/cimb43020061

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Cite this

John, G., Sahajpal, N. S., Mondal, A. K., Ananth, S., Williams, C., Chaubey, A., Rojiani, A. M., & Kolhe, R. (2021). 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. Current Issues in Molecular Biology, 43(2), 845-867. https://doi.org/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: 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, 30.07.2021, p. 845-867.

Research output: Contribution to journal › Article › peer-review

John, G, Sahajpal, NS, Mondal, AK, Ananth, S, Williams, C, Chaubey, A, Rojiani, AM & Kolhe, R 2021, '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', Current Issues in Molecular Biology, vol. 43, no. 2, pp. 845-867. https://doi.org/10.3390/cimb43020061

John G, Sahajpal NS, Mondal AK, Ananth S, Williams C, Chaubey A et al. 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. Current Issues in Molecular Biology. 2021 Jul 30;43(2):845-867. doi: 10.3390/cimb43020061

John, Goldin ; Sahajpal, Nikhil Shri ; Mondal, Ashis K et al. / 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. In: Current Issues in Molecular Biology. 2021 ; Vol. 43, No. 2. pp. 845-867.

@article{9af167a50e1641f9b732b75794a9a1ff,

title = "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",

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.",

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

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",

year = "2021",

month = jul,

day = "30",

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",

}

TY - JOUR

T1 - Next-Generation Sequencing (NGS) in COVID-19: A Tool for SARS-CoV-2 Diagnosis, Monitoring New Strains and Phylodynamic Modeling in Molecular Epidemiology

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 - 2021/7/30

Y1 - 2021/7/30

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.

KW - COVID-19/diagnosis

KW - Computational Biology/methods

KW - High-Throughput Nucleotide Sequencing/methods

KW - Humans

KW - Molecular Epidemiology/methods

KW - Pandemics

KW - Phylogeny

KW - SARS-CoV-2/genetics

UR - https://doi.org/10.3390/cimb43020061

U2 - 10.3390/cimb43020061

DO - 10.3390/cimb43020061

M3 - Article

C2 - 34449545

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: A Tool for SARS-CoV-2 Diagnosis, Monitoring New Strains and Phylodynamic Modeling in Molecular Epidemiology

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this