Mutation Probability Matrices

Mutation Probability Matrices is a type of substitution matrix that quantifies the probability of one amino acid or nucleotide being replaced by another during molecular evolution, derived from observed mutation frequencies in homologous sequence alignments.

22

Publications

2K

Citations

55

Authors

33

Institutions

Publications per year

2017–2026

2

Variants

Mutation Probability Matrix

Authors

55

  1. CM
    Christian Michel

    UCLouvain, Belgium

    2 publications · 26 citations

    2

    h-index

  2. GH
    Gastón H. Gonnet

    ETH Zurich, Switzerland

    2 publications · 954 citations

    2

    h-index

  3. DA
    Didier Arquès

    Université de Franche-Comté, France

    2 publications · 26 citations

    2

    h-index

  4. TA
    Thomas A. Reichert

    Carnegie Mellon University, United States

    1 publications · 50 citations

    1

    h-index

  5. AK
    Andrew K. C. Wong

    University of Waterloo, Canada

    1 publications · 50 citations

    1

    h-index

1–5 of 55

Venues

  1. Bulletin of Mathematical Biology

    3 publications · 96 citations

    3

    h-index

  2. BMC Bioinformatics

    2 publications · 128 citations

    2

    h-index

  3. Journal of Theoretical Biology

    2 publications · 64 citations

    2

    h-index

  4. Journal of Molecular Evolution

    2 publications · 123 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 41 citations

    2

    h-index

1–5