Context-specific Substitution Matrices

Context-Specific Substitution Matrices is a type of substitution matrix in bioinformatics that differs from general substitution matrices by incorporating local sequence context information to more accurately model the probability of amino acid or nucleotide substitutions in specific structural or functional environments.

8

Publications

356

Citations

22

Authors

15

Institutions

Publications per year

2017–2026

2

Authors

22

  1. RA
    Richard A. Goldstein

    University of Michigan, United States

    2 publications · 119 citations

    2

    h-index

  2. JM
    Jeffrey M. Koshi

    University of Michigan, United States

    2 publications · 119 citations

    2

    h-index

  3. MF
    Marta Fernández

    Hospital Universitario Ramón y Cajal, Spain

    1 publications · 28 citations

    1

    h-index

  4. YH
    Yao-Ming Huang

    Rensselaer Polytechnic Institute, United States

    1 publications · 48 citations

    1

    h-index

  5. JC
    John C. Wootton

    University of Leeds, United Kingdom

    1 publications · 94 citations

    1

    h-index

1–5 of 22

Venues

  1. Protein Engineering Design and Selection

    PEDS · 2 publications · 119 citations

    2

    h-index

  2. BMC Bioinformatics

    1 publications · 28 citations

    1

    h-index

  3. Comptes Rendus Biologies

    1 publications · 31 citations

    1

    h-index

  4. 1

    h-index

  5. BMC Genomics

    1 publications · 12 citations

    1

    h-index

1–5