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Related Concept Videos

Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
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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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The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
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Recombineering Homologous Recombination Constructs in Drosophila
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Published on: July 13, 2013

Dependency structure matrix, genetic algorithms, and effective recombination.

Tian-Li Yu1, David E Goldberg, Kumara Sastry

  • 1Department of Electrical Engineering, National Taiwan University, Taipei 106, Taiwan. tianliyu@cc.ee.ntu.edu.tw

Evolutionary Computation
|November 18, 2009
PubMed
Summary
This summary is machine-generated.

Researchers can decompose complex problems using genetic algorithms by analyzing component interactions. This study introduces a method using interaction graphs and matrix representations for effective problem-solving in complex systems.

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Area of Science:

  • Computational intelligence
  • Systems science
  • Bioinformatics

Background:

  • Complex systems present significant challenges in various research fields.
  • Traditional methods are insufficient for large-scale problem decomposition.
  • Understanding component interactions is crucial for effective problem-solving.

Purpose of the Study:

  • To develop a novel approach for dissecting and inspecting complex problems.
  • To investigate the application of genetic algorithms in problem decomposition.
  • To identify and utilize key interaction types: modularity, hierarchy, and overlap.

Main Methods:

  • Developed facet-wise models based on three interaction types: modularity, hierarchy, and overlap.
  • Utilized a matrix representation of an interaction graph for analysis.
  • Employed an automated dependency structure matrix clustering technique.
  • Designed a model-building genetic algorithm to learn and deliver problem structure.

Main Results:

  • Successfully decomposed complex problems by analyzing component interactions.
  • The genetic algorithm design effectively learned and represented the problem structure.
  • The explicit interaction model provided clear insights into problem structure.

Conclusions:

  • Component interaction analysis is key to effective problem decomposition in complex systems.
  • The proposed genetic algorithm approach offers a robust method for technical and scientific research.
  • This work enhances understanding and provides practical tools for tackling complex problems.