Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Next-generation Sequencing03:00

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.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Severe dengue in hospitalized adults at two tertiary referral hospitals in northern Vietnam: clinical features and outcomes.

Tropical medicine and health·2026
Same author

Computational design of HLA class I superbinders for broad T cell immunogenicity.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Longitudinal analysis of body weight reveals homeostatic and adaptive traits linked to lifespan in diversity outbred mice.

Nature communications·2026
Same author

Echoes in AI: Quantifying lack of plot diversity in LLM outputs.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Neuraminidase-specific antibodies drive differential cross-protection between contemporary FLUBV lineages.

Science advances·2025
Same author

High capacity clinical SARS-CoV-2 molecular testing using combinatorial pooling.

Communications medicine·2024

Related Experiment Video

Updated: Jul 7, 2026

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

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

Published on: October 16, 2018

Population sequencing using short reads: HIV as a case study.

Vladimir Jojic1, Tomer Hertz, Nebojsa Jojic

  • 1Microsoft Research, Redmond, WA 98052, USA. jojic@microsoft.com

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|January 31, 2008
PubMed
Summary
This summary is machine-generated.

New sequencing technologies can reconstruct multiple gene strains, even rare ones, from patient samples. This advances medical research by overcoming limitations of traditional methods for analyzing complex genetic populations like HIV.

More Related Videos

Determining 3'-Termini and Sequences of Nascent Single-Stranded Viral DNA Molecules during HIV-1 Reverse Transcription in Infected Cells
13:07

Determining 3'-Termini and Sequences of Nascent Single-Stranded Viral DNA Molecules during HIV-1 Reverse Transcription in Infected Cells

Published on: January 30, 2019

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

Related Experiment Videos

Last Updated: Jul 7, 2026

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

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

Published on: October 16, 2018

Determining 3'-Termini and Sequences of Nascent Single-Stranded Viral DNA Molecules during HIV-1 Reverse Transcription in Infected Cells
13:07

Determining 3'-Termini and Sequences of Nascent Single-Stranded Viral DNA Molecules during HIV-1 Reverse Transcription in Infected Cells

Published on: January 30, 2019

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

Area of Science:

  • Genomics
  • Bioinformatics
  • Medical Research

Background:

  • Traditional sequencing struggles with highly variable genomes, often only identifying dominant strains.
  • This limitation hinders research into complex genetic populations, such as HIV evolution within a single patient.

Purpose of the Study:

  • To demonstrate how next-generation sequencing (NGS) can reconstruct multiple, low-concentration gene strains from complex samples.
  • To overcome the limitations of traditional sequencing in analyzing variable genomes.

Main Methods:

  • Utilized high-throughput, short-read sequencing technologies.
  • Developed an algorithm based on a generative model of the sequencing process.
  • Employed tailored probabilistic inference and learning to fit the model to sequencing reads.

Main Results:

  • Successfully linked site variants to reconstruct multiple full gene strains.
  • Enabled the identification of low-concentration strains previously undetectable.
  • Demonstrated the capability to analyze complex genetic populations, like intra-patient HIV strains.

Conclusions:

  • NGS technologies combined with advanced algorithms can comprehensively characterize genetic populations.
  • This approach significantly enhances the study of genetic evolution and diversity in medical research.
  • Facilitates detailed analysis of pathogen populations for applications like tracking drug resistance.