Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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....

Sanger Sequencing

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...

You might also read

Related Articles

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

Sort by

Same author

Estimating uncertainty in family-based GWAS.

bioRxiv : the preprint server for biology·2026

Same author

Observational epidemiological studies can mitigate genetic confounding with a genetic relatedness matrix.

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

Same author

Characterizing and mitigating confounding by unreplicated evolutionary events in phylogenetic regression.

bioRxiv : the preprint server for biology·2026

Same author

Observational epidemiological studies can mitigate genetic confounding with the genetic relatedness matrix.

bioRxiv : the preprint server for biology·2025

Same author

An agent-based model of metabolic signaling oscillations in Bacillus subtilis biofilms.

PLoS computational biology·2025

Same author

Estimation of demography and mutation rates from one million haploid genomes.

American journal of human genetics·2025

Search research articles

Related Experiment Video

Updated: Sep 19, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

On forensic likelihood ratios from low-coverage sequencing.

Feriel Ouerghi¹, Dan E Krane², Michael D Edge¹

¹Department of Quantitative and Computational Biology, University of Southern California, United States of America.

Forensic Science International. Genetics

|June 6, 2025

Summary

This summary is machine-generated.

The computational tool IBDGem, used for forensic DNA identification, tests an incorrect hypothesis. Its likelihood ratios may overstate evidence strength, potentially misinterpreting challenging genetic samples.

Keywords:

Forensic genetics Genotype likelihoods Likelihood ratios Linkage disequilibrium Next-generation sequencing Whole-genome sequencing

More Related Videos

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Related Experiment Videos

Last Updated: Sep 19, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Area of Science:

Forensic genetics
Computational biology
Bioinformatics

Background:

Advances in sequencing technology enable genetic analysis of challenging forensic samples.
Computational methods like IBDGem are developed for human identification using DNA sequencing reads.

Purpose of the Study:

To evaluate the null hypothesis tested by the IBDGem computational approach.
To assess the interpretation of likelihood ratios generated by IBDGem in forensic genetics.

Main Methods:

Analysis of likelihood ratios produced by IBDGem.
Comparison with traditional null hypotheses in forensic genetics.
Illustrative examples and simulations.

Main Results:

IBDGem tests a non-standard null hypothesis: that the sample belongs to an individual in the reference database.
This differs from the typical forensic defense hypothesis.
Likelihood ratios from IBDGem can be significantly larger than those from standard methods, potentially overestimating evidence strength.

Conclusions:

The null hypothesis tested by IBDGem is not typically relevant in forensic contexts.
Likelihood ratios generated by IBDGem may require reinterpretation for accurate forensic application.
Further research is needed to develop methods that test the standard forensic null hypothesis.