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Related Concept Videos

Protein Networks02:26

Protein Networks

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,...
Protein Networks02:26

Protein Networks

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,...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...

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Related Experiment Video

Updated: May 11, 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

Visualization and analysis of biological networks.

Pablo Porras Millán1

  • 1EMBL Outstation-European Bioinformatics Institute, Cambridge, UK.

Methods in Molecular Biology (Clifton, N.J.)
|May 30, 2013
PubMed
Summary

This study guides novice users through analyzing protein-protein interaction networks. It demonstrates using Cytoscape, PSICQUIC, and BiNGO for biological network analysis and functional prediction.

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • The interactome, comprising all protein-protein interactions in a cell, is crucial for understanding cellular processes.
  • Biological networks are essential tools for mapping signaling pathways and predicting protein functions.
  • Analyzing large and complex interactome datasets presents significant challenges for researchers.

Purpose of the Study:

  • To provide a practical guide for novice users on analyzing biological networks.
  • To demonstrate the application of open-source tools for interactome data analysis.
  • To facilitate the extraction of meaningful information from complex interaction networks.

Main Methods:

  • Utilizing the Cytoscape platform for biological network visualization and analysis.

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Last Updated: May 11, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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  • Employing the PSICQUIC client to access data from multiple protein interaction repositories.
  • Applying the BiNGO plugin for Gene Ontology (GO) enrichment analysis of interaction networks.

    • Main Results:

    • Successful demonstration of a workflow for biological network construction and analysis.
    • Practical insights into using Cytoscape, PSICQUIC, and BiNGO for interactome studies.
    • Facilitation of functional prediction and pathway characterization through network analysis.

    Conclusions:

    • Cytoscape, PSICQUIC, and BiNGO offer a powerful combination for interactome data exploration.
    • This approach simplifies the analysis of complex biological networks for biologists and bioinformaticians.
    • The guided example enhances the accessibility of advanced network analysis techniques.