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Updated: May 13, 2026

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

Next-generation sequencing technologies in diagnostic virology.

Luisa Barzon¹, Enrico Lavezzo, Giulia Costanzi

¹Department of Molecular Medicine, University of Padova, Via A. Gabelli 63, I-35121 Padova, Italy.

Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology

|March 26, 2013

Summary

Next-generation sequencing (NGS) offers powerful tools for clinical virology, aiding in diagnosing infections, tracking pathogen spread, and testing drug resistance. This guide helps virologists implement NGS platforms in their labs for diverse applications.

Keywords:

Bioinformatics Deep/high throughput sequencing EBV Epstein-Barr virus Genome sequencing HBV HCMV HCV HIV HSV NGS Viral epidemiology Viral metagenomices/viromics Virus discovery hepatitis B virus hepatitis C virus herpes simplex virus human cytomegalovirus human immunodeficiency virus next generation sequencing

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Area of Science:

Clinical Virology
Genomic Technologies

Background:

Next-generation sequencing (NGS) generates vast amounts of data, presenting opportunities for clinical virology.
NGS is increasingly adopted in clinical and research settings due to falling platform costs.

Purpose of the Study:

To provide guidance for clinical virologists implementing NGS platforms.
To offer an overview of NGS applications in diagnostic virology.

Main Methods:

The study provides suggestions and an overview based on current trends and potential.

Main Results:

NGS facilitates diagnosis of emerging viral infections.
NGS aids in molecular epidemiology of viral pathogens.
NGS is valuable for drug-resistance testing and research.

Conclusions:

NGS implementation is feasible and beneficial for clinical virology laboratories.
NGS technologies offer a wide range of applications in diagnostic virology.