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...

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

You might also read

Related Articles

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

Sort by

Same author

Targeting dysregulated epigenetic and transcription factor networks in <i>KMT2A</i>-rearranged AML using iPSC models.

Blood neoplasia·2025

Same author

Distinct Phenotypes of Peripheral Innate Lymphoid Cells and T Cells in Type 2 and Non-Type 2 Asthma.

Clinical and translational allergy·2025

Same author

Oxygen level alters energy metabolism in bovine preimplantation embryos.

Scientific reports·2025

Same author

Heritability and polygenic load for comorbid anxiety and depression.

Translational psychiatry·2025

Same author

The DoGA consortium expression atlas of promoters and genes in 100 canine tissues.

Nature communications·2024

Same author

Enhancers regulate genes linked to severe and mild childhood asthma.

Heliyon·2024

Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026

Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026

Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026

Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026

Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026

Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 19, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

NGSView: an extensible open source editor for next-generation sequencing data.

Erik Arner¹, Yoshihide Hayashizaki, Carsten O Daub

¹RIKEN Omics Science Center, RIKEN Yokohama Institute 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan. arner@gsc.riken.jp

Bioinformatics (Oxford, England)

|October 27, 2009

Summary

This summary is machine-generated.

NGSView is a new, open-source software tool for analyzing next-generation sequencing data. It enables visualization and manipulation of millions of sequences on a desktop computer.

More Related Videos

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Published on: July 28, 2017

Related Experiment Videos

Last Updated: Jun 19, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Published on: July 28, 2017

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

High-throughput sequencing generates massive datasets.
Existing tools may not meet the demands of analyzing large-scale sequence data.
The need for efficient sequence alignment visualization and manipulation tools is critical.

Purpose of the Study:

To develop a versatile software tool for next-generation sequence data analysis.
To provide a graphical interface for visualizing and manipulating millions of sequences.
To create an extensible platform for future bioinformatics tool development.

Main Methods:

Development of NGSView, a next-generation sequence alignment editor.
Implementation of a graphical user interface for intuitive data interaction.
Design of a well-documented API for software extensibility.

Main Results:

NGSView allows simultaneous visualization and manipulation of millions of sequences.
The software operates efficiently on a standard desktop computer.
NGSView is a generally applicable and flexible analysis tool.

Conclusions:

NGSView addresses the data analysis challenges posed by high-throughput sequencing.
The software offers a powerful, user-friendly solution for next-generation sequence alignment.
Its open-source nature and extensible API promote wider adoption and further development.