Evolutionary Rate Modeling

Evolutionary Rate Modeling is a computational framework within Profile Hidden Markov Models that characterizes the variation in substitution rates across sites in molecular sequences by integrating phylogenetic information and probabilistic emission and transition parameters to infer evolutionary constraints.

98

Publications

47.2K

Citations

272

Authors

164

Institutions

Publications per year

2017–2026

20

Authors

272

  1. SJ
    Stephanie J. Spielman

    The University of Texas at Austin, United States

    5 publications · 952 citations

    5

    h-index

  2. MA
    Marc A. Suchard

    University of California, Los Angeles, United States

    5 publications · 529 citations

    5

    h-index

  3. CO
    Claus O. Wilke

    The University of Texas at Austin, United States

    4 publications · 195 citations

    4

    h-index

  4. SL
    Sergei L. Kosakovsky Pond

    University of California San Diego, United States

    4 publications · 898 citations

    4

    h-index

  5. PL
    Philippe Lemey

    KU Leuven, Belgium

    4 publications · 217 citations

    4

    h-index

1–5 of 272

Venues

  1. Molecular Biology and Evolution

    MBE · 16 publications · 6.4K citations

    16

    h-index

  2. Journal of Molecular Evolution

    8 publications · 33.4K citations

    8

    h-index

  3. Systematic Biology

    7 publications · 463 citations

    7

    h-index

  4. Bioinformatics

    7 publications · 1K citations

    7

    h-index

  5. Genome Biology and Evolution

    GBE · 4 publications · 137 citations

    4

    h-index

1–5