Codon-based Likelihood Models

Codon-Based Likelihood Models is a class of probabilistic substitution models in maximum likelihood phylogenetics that operates at the codon level, distinguishing itself from nucleotide- and amino acid-based models by explicitly modeling the evolutionary process of protein-coding sequences through codon substitution patterns and incorporating biological features such as synonymous and non-synonymous mutation rates.

45

Publications

5.9K

Citations

145

Authors

88

Institutions

Publications per year

2017–2026

7

Authors

145

  1. BS
    Belinda S. W. Chang

    University of Toronto, Canada

    7 publications · 341 citations

    7

    h-index

  2. ZY
    Ziheng Yang

    University College London, United Kingdom

    5 publications · 2.6K citations

    5

    h-index

  3. RN
    Rasmus Nielsen

    University of California, Berkeley, United States

    4 publications · 2.4K citations

    4

    h-index

  4. ED
    Eduardo de A. Gutierrez

    Instituto de Recursos Naturales y Agrobiología de Sevilla, Spain

    2 publications · 66 citations

    2

    h-index

  5. JP
    Joseph P. Bielawski

    Dalhousie University, Canada

    2 publications · 328 citations

    2

    h-index

1–5 of 145

Venues

  1. Molecular Biology and Evolution

    MBE · 13 publications · 2.3K citations

    13

    h-index

  2. PLoS ONE

    4 publications · 127 citations

    4

    h-index

  3. Genetics

    3 publications · 2.3K citations

    3

    h-index

  4. Journal of Molecular Evolution

    3 publications · 340 citations

    3

    h-index

  5. BMC Evolutionary Biology

    2 publications · 66 citations

    2

    h-index

1–5