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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,...
Multiple Bar Graph01:07

Multiple Bar Graph

As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Time-Series Graph00:54

Time-Series Graph

A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
Bar Graph01:07

Bar Graph

A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...

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Related Experiment Video

Updated: May 10, 2026

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

Network2Canvas: network visualization on a canvas with enrichment analysis.

Christopher M Tan1, Edward Y Chen, Ruth Dannenfelser

  • 1Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Bioinformatics (Oxford, England)
|June 11, 2013
PubMed
Summary
This summary is machine-generated.

Network2Canvas (N2C) offers a novel web application for visualizing large biological networks. This tool aids in gene-set and drug-set enrichment analysis by highlighting enriched terms on interactive canvases.

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Area of Science:

  • Computational systems biology
  • Bioinformatics
  • Network visualization

Background:

  • Visualizing large biological networks (>100 nodes) is challenging with traditional methods.
  • Existing methods like ball-and-stick diagrams are insufficient for complex network data.
  • Network2Canvas (N2C) is developed to address these visualization limitations.

Purpose of the Study:

  • To introduce Network2Canvas (N2C), a novel web application for visualizing biological networks.
  • To provide an alternative and effective method for viewing large-scale networks.
  • To enable gene-set and drug-set enrichment analyses through interactive visualization.

Main Methods:

  • N2C utilizes a square toroidal canvas for network visualization.
  • Nodes are clustered using simulated annealing to optimize local connections.
  • Node brightness represents local fitness, and interactivity is enabled via HTML5 and D3.js.

Main Results:

  • N2C was applied to visualize human and mouse gene-set libraries and FDA-approved drug-set libraries.
  • The application effectively highlights enriched terms and computes their clustering.
  • Visual patterns generated by N2C allow for rapid detection of biological signatures.

Conclusions:

  • N2C provides a flexible and effective method for visualizing large biological networks.
  • The tool facilitates gene-set and drug-set enrichment analyses.
  • N2C offers a new approach for interpreting complex biological data through visualization.