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Probabilistic models of genome shuffling.

D Sankoff, M Goldstein

    Bulletin of Mathematical Biology
    |January 1, 1989
    PubMed
    Summary
    This summary is machine-generated.

    This study models genome evolution using a random fragment migration process. It analyzes equilibrium distributions and fragment indistinguishability for linear and circular genomes, revealing cut-off behaviors.

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    Genome rearrangement with gene families.

    Bioinformatics (Oxford, England)·2000

    Area of Science:

    • Computational Biology
    • Evolutionary Genetics
    • Bioinformatics

    Background:

    • Genomic comparisons reveal inversions and rearrangements.
    • Understanding genome evolution requires modeling fragment order changes.

    Purpose of the Study:

    • To model genome evolution using a random migration process for fragments.
    • To analyze the equilibrium distribution of fragments in linear and circular genomes.
    • To account for indistinguishable adjacent fragments in comparative genomics.

    Main Methods:

    • Developed a random migration process model for genomic fragments.
    • Investigated equilibrium distributions for linear and circular genomes.
    • Performed simulations to observe "cut-off" behavior near equilibrium.

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  • Introduced a new process for indistinguishable adjacent fragments.

    • Main Results:

    • The random migration model predicts specific equilibrium distributions.
    • Simulations demonstrate "cut-off" phenomena as the system approaches equilibrium.
    • The model successfully incorporates fragment indistinguishability.

    Conclusions:

    • The random migration process provides a framework for studying genome rearrangements.
    • The models offer insights into evolutionary dynamics of genome structure.
    • Further research is needed to explore the broad applicability of these models.