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Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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An effective method for detecting gene conversion events in whole genomes.

Chih-Hao Hsu1, Yu Zhang, Ross C Hardison

  • 1Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA 16802, USA. cxh503@psu.edu

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|September 30, 2010
PubMed
Summary

Gene conversion events, where one DNA sequence overwrites another, are detected in 7.5% of mouse genomic intervals. These events impact genome evolution analysis and ortholog identification.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Gene conversion is a molecular mechanism that can alter DNA sequences.
  • These events are often overlooked in genome evolution studies.
  • Gene conversion can complicate the identification of orthologous genes and functional annotation transfer.

Purpose of the Study:

  • To investigate the prevalence and characteristics of gene conversion events in mouse genomes.
  • To develop and apply a method for detecting gene conversion events in large-scale genomic datasets.
  • To analyze the properties of detected gene conversion events, including length and genomic spacing.

Main Methods:

  • Analysis of 1,616,329 paralogous pairs of mouse genomic intervals.
  • Development and application of a computational approach to detect DNA sequence conversion events.
  • Examination of gene conversion event properties such as length and distance between source and target sequences.
  • Illustration of the approach using primate CCL gene clusters.

Main Results:

  • Approximately 7.5% of the analyzed mouse paralogous pairs showed evidence of gene conversion.
  • Properties of these gene conversion events, including lengths and spacing, were analyzed.
  • The method was successfully applied to primate CCL gene clusters.

Conclusions:

  • Gene conversion is a significant factor in mouse genome evolution, affecting a notable percentage of paralogous sequences.
  • The developed method provides a robust way to detect and analyze gene conversion events.
  • Understanding gene conversion is crucial for accurate ortholog identification and functional annotation across genomes.