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Gene Tree Diameter for Deep Coalescence.

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    We developed a fast algorithm to calculate gene tree diameter, addressing a key challenge in phylogenetic studies. This method helps normalize deep coalescence costs and clarifies evolutionary relationships.

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    Area of Science:

    • Computational Biology
    • Phylogenetics
    • Evolutionary Biology

    Background:

    • Deep coalescence cost measures gene tree and species tree discord.
    • Gene tree diameter, a measure of maximum deep coalescence cost, can bias phylogenetic studies.
    • Efficiently computing gene tree diameter was an open problem.

    Purpose of the Study:

    • To resolve the open problem of efficiently computing gene tree diameter.
    • To provide a method for normalizing deep coalescence cost.
    • To aid phylogenetic analyses by classifying species trees related to diameter.

    Main Methods:

    • Developed a linear time algorithm for computing gene tree diameter.
    • Classified species trees that yield the maximum diameter.

    Main Results:

    • Successfully computed gene tree diameter in linear time.
    • Provided a complete classification of species trees associated with the diameter.

    Conclusions:

    • The developed algorithm efficiently resolves the problem of computing gene tree diameter.
    • The classification of species trees aids in understanding and mitigating phylogenetic biases.