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Related Concept Videos

Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Bias01:22

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Diode: Forward bias01:20

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In semiconductor devices, diodes play a crucial role in directing current flow, and its operation is primarily categorized into forward bias and reverse bias. A diode is said to be forward-biased when its p-type region is connected to the positive terminal of a battery and its n-type region is linked to the negative terminal. This configuration reduces the potential barrier within the diode, allowing current to flow easily from the p to the n-type region.
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Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
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Biasing of P-N Junction01:16

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The operation of a p-n junction diode involves various biasing conditions, including forward bias, reverse bias, and equilibrium.
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Related Experiment Video

Updated: Jan 27, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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A likelihood ratio test for changes in homeolog expression bias.

Ronald D Smith1, Taliesin J Kinser2, Gregory D Conradi Smith1

  • 1Department of Applied Science, The College of William & Mary, Williamsburg, 23187, VA, USA.

BMC Bioinformatics
|March 22, 2019
PubMed
Summary

A new likelihood ratio test effectively detects changes in homeolog gene expression bias. This method aids in understanding gene evolution and function diversification across different conditions.

Keywords:
Homeolog expression biasLikelihood ratio testPolyploidRNA-seqWhole genome duplication

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Molecular biology

Background:

  • Gene duplication is a key driver of evolutionary innovation and biological diversity.
  • Duplicate genes can evolve new functions, often through altered expression patterns.
  • Analyzing expression patterns of duplicate genes provides insights into their evolutionary trajectories.

Purpose of the Study:

  • To develop and validate a statistical method for analyzing expression ratios of duplicate genes.
  • To investigate homeolog expression bias in allotetraploid monkeyflower (Mimulus luteus).

Main Methods:

  • Development of a likelihood ratio test for comparing expression ratios of duplicate genes across two conditions.
  • Application of the test to RNA-sequencing data from Mimulus luteus leaves and petals.
  • Assessment of test sensitivity to expression bias and comparison with alternative methods.

Main Results:

  • A novel likelihood ratio test was developed for analyzing homeolog expression patterns.
  • The test was applied to 1448 homeologous gene pairs in Mimulus luteus.
  • The method demonstrated superior performance compared to existing approaches.

Conclusions:

  • The developed likelihood ratio test is a robust and efficient tool for detecting changes in homeolog expression bias.
  • This method offers a transparent and easily implementable approach for evolutionary and functional genomics studies.
  • The test is broadly applicable to analyzing expression ratio changes between any two genes in any two conditions.