Spectral analysis and a closest tree method for genetic sequences

M.A. Steel, M.D. Hendy, L.A. Székely, P.L. Erdös

    Research output: Contribution to journalArticleAcademicpeer-review

    25 Citations (Scopus)
    111 Downloads (Pure)

    Abstract

    We describe a new method for estimating the evolutionary tree linking a collection of species from their aligned four-state genetic sequences. This method, which can be adapted to provide a branch-and-bound algorithm, is statistically consistent provided the sequences have evolved according to a standard stochastic model of nucleotide mutation. Our approach exploits a recent group-theoretic description of this model.
    Original languageEnglish
    Pages (from-to)63-67
    JournalApplied mathematics letters
    Volume5
    Issue number6
    DOIs
    Publication statusPublished - 1992

    Keywords

    • IR-57456

    Fingerprint

    Dive into the research topics of 'Spectral analysis and a closest tree method for genetic sequences'. Together they form a unique fingerprint.

    Cite this