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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,...
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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...
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Mass Analyzers: Overview

The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...

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GraphCrunch: a tool for large network analyses.

Tijana Milenković1, Jason Lai, Natasa Przulj

  • 1Department of Computer Science, University of California, Irvine, CA 92697-3435, USA. tmilenko@ics.uci.edu

BMC Bioinformatics
|January 31, 2008
PubMed
Summary
This summary is machine-generated.

GraphCrunch is a new software tool for analyzing large biological networks. It compares real-world networks against models using local and global properties, offering advanced analysis capabilities.

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Area of Science:

  • Computational Biology
  • Network Science
  • Bioinformatics

Background:

  • The increasing volume of biological network data necessitates advanced analysis tools.
  • Existing tools lack comprehensive local and global network property analysis and model comparison.
  • Network motifs and graphlets offer insights into local network structures and topologies.

Purpose of the Study:

  • To introduce GraphCrunch, a novel software tool for analyzing and modeling large biological networks.
  • To provide a comprehensive platform for comparing real-world networks against various random graph models.
  • To implement advanced local network similarity measures like relative graphlet frequency distance (RGF-distance) and graphlet degree distribution agreement (GDD-agreement).

Main Methods:

  • GraphCrunch compares real-world networks to random graph models using multiple network similarity measures.
  • It computes computationally intensive measures such as RGF-distance and GDD-agreement.
  • The tool integrates standard global network measures alongside local property analyses.

Main Results:

  • GraphCrunch uniquely supports computationally expensive local network property measures.
  • It offers the broadest range of network measures currently available in a single software tool.
  • The software features built-in parallel computing for efficient, large-scale network analysis.

Conclusions:

  • GraphCrunch is a comprehensive, parallelizable, and extensible software tool for biological network analysis and modeling.
  • It enables the comparison of real-world networks against random graph models using diverse local and global properties.
  • The open-source software is freely available with a user-friendly web interface.