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

Insights into demographic and cultural influences on the oral microbiome from historical Japanese dental calculus.

Scientific reports·2026

Same author

Rice Annotation Project Database (RAP-DB): Literature-Curated Gene Annotation and Integrated Omics Resources for Rice Functional Genomics and Molecular Breeding.

Rice (New York, N.Y.)·2026

Same author

Genomic insights into the medieval cultivation history of influential high-yielding Asian rice.

Scientific reports·2026

Same author

Off-target sequence variations driven by the intrinsic properties of the Cas-sgRNA-DNA complex in genome editing.

PloS one·2025

Same author

Plastiome: Plastisphere-enriched mobile resistome in aquatic environments.

Journal of hazardous materials·2024

Same author

Domain 3a mutation of VPS33A suppresses larval arrest phenotype in the loss of VPS45 in <i>Caenorhabditis elegans</i>.

microPublication biology·2024

Search research articles

Related Experiment Video

Updated: May 10, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

TASUKE: a web-based visualization program for large-scale resequencing data.

Masahiko Kumagai¹, Jungsok Kim, Ryutaro Itoh

¹Bioinformatics Research Unit, Agrogenomics Research Center, National Institute of Agrobiological Sciences, Tsukuba, Ibaraki 305-8602, Japan.

Bioinformatics (Oxford, England)

|June 11, 2013

Summary

A new web application called tasuke visualizes large-scale genome resequencing data, addressing the urgent need for effective display of sequence variation information. This tool enables rapid public data release and simultaneous visualization of genomic variations and annotations.

More Related Videos

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Published on: June 10, 2017

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

Related Experiment Videos

Last Updated: May 10, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Published on: June 10, 2017

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

Area of Science:

Genomics
Bioinformatics

Background:

The rapid increase in sequencing data necessitates advanced visualization tools.
Effective display of sequence variation information is crucial for genomic research.

Purpose of the Study:

To develop a web application for visualizing large-scale resequencing data.
To facilitate rapid public release of genomic variation data.

Main Methods:

Development of the tasuke web application.
Utilizing next-generation sequencing technologies for data generation.
Simultaneous visualization of variation, read depths, and annotations.

Main Results:

Tasuke effectively visualizes large-scale resequencing data.
The application allows simultaneous display of multiple genomic features at various scales.
Demonstrated utility with 50 rice and 100 human genome datasets.

Conclusions:

Tasuke provides a much-needed solution for displaying vast amounts of sequence variation data.
The web application is suitable for efficient and public dissemination of genomic data.