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

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...

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.

You might also read

Related Articles

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

Sort by

Same author

Single-cell RNA profiling of oligodendroglial lineage cells derived from iPSCs carrying Parkinson's disease-relevant LRRK2-G2019S mutation.

iScience·2026

Same author

Sodium-glucose Cotransporter 2 Inhibitors Association with Risk of Heart Failure Hospitalization in Preserved and Mildly Reduced Ejection Fraction, Regardless of Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Current cardiology reviews·2026

Same author

Transcatheter Tricuspid Valve Intervention Versus Optimal Medical Therapy in Symptomatic Tricuspid Regurgitation: A Systematic Review and Meta-Analysis of Randomized and Observational Studies.

The American journal of cardiology·2026

Same author

Fast and accurate resolution of ecDNA sequence using Cycle-Extractor.

bioRxiv : the preprint server for biology·2026

Same author

SPrUCE: Utilizing Ultraconserved Elements of DNA for Population-Level Genetic Diversity Estimation.

Molecular ecology resources·2026

Same author

Midodrine for Sepsis Treatment and Early Vasopressor Weaning (MID-STEP): protocol for a pragmatic randomised clinical trial.

BMJ open·2026

Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026

Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026

Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026

Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026

Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026

Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 4, 2026

Novel Sequence Discovery by Subtractive Genomics

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Strobe sequence design for haplotype assembly.

Christine Lo¹, Ali Bashir, Vikas Bansal

¹Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA. cylo@cs.ucsd.edu

BMC Bioinformatics

|February 24, 2011

Summary

This summary is machine-generated.

Optimizing sequencing experiment design, particularly advance length, significantly improves haplotype length. This advancement makes haplotyping large genomic regions feasible with current technologies.

More Related Videos

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Related Experiment Videos

Last Updated: Jun 4, 2026

Novel Sequence Discovery by Subtractive Genomics

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Area of Science:

Genomics
Bioinformatics

Background:

Humans are diploid organisms with two copies of each chromosome, necessitating the separation of paternal and maternal chromosomes for genetic analyses.
Haplotype assembly relies on linking alleles at heterozygous sites using sequenced fragments, but research has focused more on error correction than experimental design for long haplotypes.

Purpose of the Study:

To investigate the impact of sequencing experiment design parameters on haplotype length.
To identify key design choices that can enhance the length of assembled haplotypes.

Main Methods:

Exploration of adjustable design parameters in next-generation and upcoming sequencing technologies.
Development and implementation of a simulated annealing algorithm to optimize advance length distributions.

Main Results:

Advance length was identified as the most significant parameter influencing haplotype length.
A non-trivial distribution over advance lengths, optimized via simulated annealing, yielded a 1-2 order of magnitude improvement in median haplotype length.

Conclusions:

The study demonstrates that achieving long haplotypes for large genomic regions is attainable with existing sequencing technologies.
Optimized experimental design is crucial for advancing haplotyping capabilities in genomics.