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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K
Next-generation Sequencing03:00

Next-generation Sequencing

88.0K
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....
88.0K
Sanger Sequencing01:57

Sanger Sequencing

801.1K
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...
801.1K
RNA-seq03:21

RNA-seq

9.4K
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...
9.4K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

10.5K
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...
10.5K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

3.3K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
3.3K

You might also read

Related Articles

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

Sort by
Same author

FALCON2: compression-based metagenomic classification of ancient viruses.

Bioinformatics (Oxford, England)·2026
Same author

An evaluation of computational methods for reconstruction of human viral DNA genomes.

GigaScience·2025
Same author

JARVIS3: an efficient encoder for genomic data.

Bioinformatics (Oxford, England)·2024
Same author

Machine Learning-Driven Discovery and Database of Cyanobacteria Bioactive Compounds: A Resource for Therapeutics and Bioremediation.

Journal of chemical information and modeling·2024
Same author

AltaiR: a C toolkit for alignment-free and temporal analysis of multi-FASTA data.

GigaScience·2024
Same author

Intra-host genomic diversity and integration landscape of human tissue-resident DNA virome.

Nucleic acids research·2024
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: May 5, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.2K

DNA sequences at a glance.

Armando J Pinho1, Sara P Garcia, Diogo Pratas

  • 1Signal Processing Lab, IEETA/DETI, University of Aveiro, Aveiro, Portugal.

Plos One
|November 27, 2013
PubMed
Summary
This summary is machine-generated.

We introduce "information profiles" to quantify DNA sequence complexity, enabling rapid visual inspection of large genomic datasets. This scalable tool aids biologists in identifying genomic regularities and interesting regions efficiently.

More Related Videos

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.1K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

14.3K

Related Experiment Videos

Last Updated: May 5, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.2K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.1K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

14.3K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Visual analytics faces challenges in summarizing large datasets, especially complex genomic data.
  • Rapid growth of genomic data necessitates scalable tools for analysis and exploration.
  • Identifying specific regions within vast DNA sequences is crucial for biological discovery.

Purpose of the Study:

  • To present a novel concept, the "information profile", for quantifying local DNA sequence complexity.
  • To develop a computationally efficient method for generating information profiles.
  • To demonstrate the utility of information profiles for visual analysis of genomic data.

Main Methods:

  • Developed a computationally tractable method to calculate information profiles in time proportional to sequence length.
  • Implemented a software tool for computing information profiles of DNA sequences.
  • Utilized the fission yeast genome and human chromosomes for illustrative analysis.

Main Results:

  • Information profiles provide a quantitative measure of local DNA sequence complexity.
  • The method is computationally efficient, scaling linearly with sequence length.
  • Visual inspection of information profiles effectively reveals large-scale genomic regularities.

Conclusions:

  • Information profiles offer a powerful tool for visual analytics of DNA sequences.
  • The approach supports diverse discovery strategies, including single sequence, intra-species, and inter-species comparative analyses.
  • Scalable visualization of genomic data aids biological research and discovery.