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

The Evidence for Evolution02:55

The Evidence for Evolution

48.1K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
48.1K
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Convergent Evolution01:54

Convergent Evolution

32.9K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
32.9K
Eukaryotic Evolution01:24

Eukaryotic Evolution

41.4K
The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
41.4K
Synteny and Evolution02:31

Synteny and Evolution

3.8K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.8K

You might also read

Related Articles

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

Sort by
Same author

Ghrelin is a signal to facilitate the utilization of fatty acids and save glucose by the liver, skeletal muscle, and adipose tissues in chicks.

Biochimica et biophysica acta. Molecular and cell biology of lipids·2021
Same author

Simultaneous Formation of Interphases on both Positive and Negative Electrodes in High-Voltage Aqueous Lithium-Ion Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2021
Same author

The effect of co-pyrolysis temperature for iron-biochar composites on their adsorption behavior of antimonite and antimonate in aqueous solution.

Bioresource technology·2021
Same author

MoS<sub>2</sub> nanosheets loaded on collapsed structure zeolite as a hydrophilic and efficient photocatalyst for tetracycline degradation and synergistic mechanism.

Chemosphere·2021
Same author

Potential Implications of Citrulline and Quercetin on Gut Functioning of Monogastric Animals and Humans: A Comprehensive Review.

Nutrients·2021
Same author

Circular RNA Expression Profiles and Bioinformatic Analysis in Mouse Models of Obstructive Sleep Apnea-Induced Cardiac Injury: Novel Insights Into Pathogenesis.

Frontiers in cell and developmental biology·2021

Related Experiment Video

Updated: Jan 31, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.6K

Exploring Evolution of Dynamic Networks via Diachronic Node Embeddings.

Jin Xu, Yubo Tao, Yuyu Yan

    IEEE Transactions on Visualization and Computer Graphics
    |December 22, 2018
    PubMed
    Summary

    This study introduces a visual analytics method to explore dynamic network evolution. It uses diachronic node embeddings to uncover communities and visualize network changes over time.

    More Related Videos

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
    07:57

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

    Published on: August 21, 2019

    9.2K
    Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
    08:32

    Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

    Published on: May 4, 2018

    6.8K

    Related Experiment Videos

    Last Updated: Jan 31, 2026

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.6K
    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
    07:57

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

    Published on: August 21, 2019

    9.2K
    Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
    08:32

    Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

    Published on: May 4, 2018

    6.8K

    Area of Science:

    • Network Science
    • Data Visualization
    • Computer Science

    Background:

    • Dynamic networks exhibit evolving structures over time.
    • Efficiently analyzing both structural and temporal properties of dynamic networks remains challenging.

    Purpose of the Study:

    • To propose a visual analytics methodology for interactively exploring the temporal evolution of dynamic networks.
    • To enable users to understand network changes in the context of their structure.

    Main Methods:

    • A novel diachronic node embedding method is proposed to learn latent representations of node features.
    • These embeddings capture both structural and temporal properties of nodes.
    • A visual analytics system is designed for interactive exploration.

    Main Results:

    • The method effectively learns latent representations capturing structural and temporal dynamics.
    • Diachronic node embeddings facilitate the discovery of communities with similar evolution patterns.
    • The visual analytics system allows for comprehensive exploration of network, node, and community evolutions.

    Conclusions:

    • The proposed visual analytics methodology provides an effective approach for studying dynamic network evolution.
    • The diachronic node embedding method enhances the understanding of temporal network structures.
    • The system demonstrates effectiveness on both artificial and real-world dynamic networks.