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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,...
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...
Econometric Views (EViews)01:29

Econometric Views (EViews)

Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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: Jun 2, 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

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TVNViewer: an interactive visualization tool for exploring networks that change over time or space.

Ross E Curtis1, Amos Yuen, Le Song

  • 1Joint CMU-Pitt PhD Program in Computational Biology, Lane Center for Computational Biology, School of Computer Science, Language Technologies Institute and Department of Machine Learning, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Bioinformatics (Oxford, England)
|May 10, 2011
PubMed
Summary

Researchers developed TVNViewer, a new tool for visualizing dynamic gene-protein networks. This tool aids in understanding biological processes and disease progression by analyzing how these networks change over time and across different cells.

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Area of Science:

  • Molecular biology
  • Systems biology
  • Bioinformatics

Background:

  • Gene-protein interactions are dynamic, varying across time and cell types.
  • Understanding these dynamics is crucial for insights into biological processes and disease.
  • Network visualization tools are essential for analyzing complex biological data.

Purpose of the Study:

  • To introduce TVNViewer, a novel visualization tool.
  • To facilitate the exploration and analysis of dynamic biological networks.

Main Methods:

  • Development of a new visualization tool, TVNViewer.
  • Focus on dynamic network analysis.

Main Results:

  • TVNViewer enables exploration of dynamic gene-protein relationships.
  • The tool aids in understanding biological variability.

Conclusions:

  • TVNViewer provides a valuable resource for researchers studying dynamic biological networks.
  • The tool supports the investigation of biological processes and disease mechanisms.