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Related Experiment Videos

Maximum likelihood alignment of DNA sequences.

M J Bishop, E A Thompson

    Journal of Molecular Biology
    |July 20, 1986
    PubMed
    Summary
    This summary is machine-generated.

    Estimating evolutionary time between molecular sequences using probabilistic models helps find optimal alignments. This method reveals high-probability alignments for transfer RNA (tRNA) genes.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Molecular Evolution

    Background:

    • Optimal alignment of molecular sequences is crucial for understanding evolutionary relationships.
    • Probabilistic models are widely used to infer evolutionary processes.

    Purpose of the Study:

    • To establish the equivalence between optimal sequence alignment and estimating maximum likelihood evolutionary time.
    • To present a method for computing likelihoods under a simple two-parameter model.
    • To demonstrate the application of this method to transfer RNA (tRNA) genes for optimal alignment.

    Main Methods:

    • Formulating the optimal alignment problem as an estimation of maximum likelihood time.
    • Developing a simple two-parameter probabilistic model for molecular evolution.

    Related Experiment Videos

  • Implementing a method for computing the likelihood of evolutionary change.
  • Applying maximum likelihood estimation to pairs of tRNA genes.

    • Main Results:

    • Demonstrated the equivalence between optimal alignment and maximum likelihood time estimation.
    • Presented a computable likelihood method for a two-parameter model.
    • Obtained optimal alignments for tRNA gene pairs using the developed method.

    Conclusions:

    • The maximum likelihood time estimation framework provides a robust method for optimal molecular sequence alignment.
    • The presented method and model are effective for analyzing evolutionary relationships in genes like tRNA.