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Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

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Related Experiment Video

Updated: Mar 2, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

Minimizing Next-Generation Sequencing Errors for HIV Drug Resistance Testing.

José A Fernández-Caballero¹, Natalia Chueca¹, Eva Poveda²

¹Department of Clinical Microbiology, Hospital Universitario San Cecilio de Granada, Instituto de Investigacion Biosanitaria (IBIS), Granada, Spain.

|May 24, 2017

Summary

Next-generation sequencing (NGS) improves HIV drug resistance testing accuracy. Optimizing protocols and bioinformatic tools is crucial for reliable HIV resistance mutation identification in clinical decisions.

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Last Updated: Mar 2, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Published on: March 22, 2016

Area of Science:

Medical Diagnostics
Genomic Sequencing
Infectious Disease Research

Background:

Next-generation sequencing (NGS) is increasingly used for diagnosing antiretroviral resistance in HIV infection.
Potential errors from NGS platforms necessitate protocol improvements and advanced bioinformatic tools.
Accurate identification of HIV resistance mutations is vital for effective patient treatment.

Purpose of the Study:

To review and summarize data on optimizing NGS protocols for HIV resistance testing.
To highlight the importance of bioinformatic tools in improving NGS accuracy for clinical applications.
To address the need for reliable identification of clinically significant HIV resistance mutations.

Main Methods:

Review of recent studies focusing on NGS protocol optimization for polymerase chain reaction (PCR) error reduction.
Analysis of bioinformatic tools designed for variant calling, including indel and single nucleotide polymorphism (SNP) detection.
Synthesis of data on improving the accuracy and reliability of NGS in HIV resistance testing.

Main Results:

Studies show potential for significant reduction in indels (93-98%) using specific bioinformatic tools.
Bioinformatic approaches achieve near 100% sensitivity and specificity for single nucleotide polymorphism variant calling.
Protocol improvements aim to minimize errors during the polymerase chain reaction (PCR) stage.

Conclusions:

Implementing optimized NGS protocols and bioinformatic tools enhances the accuracy of HIV resistance mutation analysis.
Improved accuracy is essential for informed clinical decisions in HIV treatment.
Further optimization of NGS is critical for routine HIV resistance diagnostics.