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Related Concept Videos

Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Network Function of a Circuit01:25

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
Restarting Stalled Replication Forks02:37

Restarting Stalled Replication Forks

DNA replication is initiated at sites containing predefined DNA sequences known as origins of replication. DNA is unwound at these sites by the minichromosome maintenance (MCM) helicase and other factors such as Cdc45 and the associated GINS complex.The unwound single strands are protected by replication protein A (RPA) until DNA polymerase starts synthesizing DNA at the 5’ end of the strand in the same direction as the replication fork. To prevent the replication fork from falling apart, a...
Restarting Stalled Replication Forks02:37

Restarting Stalled Replication Forks

DNA replication is initiated at sites containing predefined DNA sequences known as origins of replication. DNA is unwound at these sites by the minichromosome maintenance (MCM) helicase and other factors such as Cdc45 and the associated GINS complex.The unwound single strands are protected by replication protein A (RPA) until DNA polymerase starts synthesizing DNA at the 5’ end of the strand in the same direction as the replication fork. To prevent the replication fork from falling apart, a...
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Related Experiment Video

Updated: Jun 4, 2026

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

Is my network module preserved and reproducible?

Peter Langfelder1, Rui Luo, Michael C Oldham

  • 1Department of Human Genetics, University of California, Los Angeles, Los Angeles, California, United States of America.

Plos Computational Biology
|February 2, 2011
PubMed
Summary
This summary is machine-generated.

We developed new network preservation statistics to assess module reproducibility across different conditions. These methods, particularly effective for correlation networks, reveal significant differences in gene co-expression patterns between species and sexes.

Related Experiment Videos

Last Updated: Jun 4, 2026

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

Area of Science:

  • Network biology
  • Systems biology
  • Bioinformatics

Background:

  • Assessing the stability and reproducibility of network modules across different biological conditions or datasets is crucial for understanding biological systems.
  • Existing methods often require module assignments in the test network, limiting their applicability.

Purpose of the Study:

  • To develop and evaluate novel network preservation statistics that do not require pre-assigned modules in the test network.
  • To investigate the utility of these statistics for comparing network structures across different conditions, including species and sexes.

Main Methods:

  • Defined general and correlation network-specific preservation statistics, leveraging the power of correlation structures.
  • Developed aggregated summary preservation statistics for robust evaluation.
  • Applied methods to six gene co-expression network analyses, including cross-species and sex-difference studies.

Main Results:

  • Correlation network structures facilitate the definition of powerful module preservation statistics.
  • Module preservation evaluation differs from cluster preservation.
  • Found differential co-expression and reduced preservation of certain modules (e.g., apoptosis genes) between human and chimpanzee brain networks.

Conclusions:

  • Module preservation statistics are valuable tools for identifying differences in the modular structure of biological networks.
  • The developed methods provide a robust framework for assessing network module reproducibility and cross-condition comparisons.
  • Findings highlight significant differences in gene co-expression networks between humans and chimpanzees.