Substitution Matrices

Substitution Matrices is a matrix-based scoring function in sequence analysis that assigns quantitative scores or probabilities to all possible substitutions between sequence symbols (such as nucleotides or amino acids), typically derived from empirical substitution frequencies or evolutionary models, for use in sequence comparison and alignment algorithms.

234

Publications

76.3K

Citations

465

Authors

296

Institutions

Publications per year

2017–2026

21

Authors

465

  1. SQ
    Si Quang Le

    Wellcome Sanger Institute, United Kingdom

    5 publications · 3.9K citations

    5

    h-index

  2. OG
    Olivier Gascuel

    Centre National de la Recherche Scientifique, France

    5 publications · 3.9K citations

    5

    h-index

  3. SH
    Steven Henikoff

    Fred Hutch Cancer Center, United States

    5 publications · 9.9K citations

    5

    h-index

  4. GH
    Gastón H. Gonnet

    ETH Zurich, Switzerland

    4 publications · 330 citations

    4

    h-index

  5. JG
    Jorja G. Henikoff

    Fred Hutch Cancer Center, United States

    4 publications · 7.2K citations

    4

    h-index

1–5 of 465

Venues

  1. Journal of Molecular Evolution

    27 publications · 34.9K citations

    21

    h-index

  2. Molecular Biology and Evolution

    MBE · 18 publications · 10K citations

    17

    h-index

  3. Bioinformatics

    17 publications · 764 citations

    13

    h-index

  4. BMC Bioinformatics

    18 publications · 643 citations

    13

    h-index

  5. Protein Engineering Design and Selection

    PEDS · 5 publications · 477 citations

    5

    h-index

1–5