Scoring Matrices

Scoring Matrix is a computational tool in bioinformatics that belongs to the class of alignment scoring functions and is specifically designed to quantify the functional relatedness or evolutionary similarity between pairs of biological sequences by assigning scores to amino acid or nucleotide substitutions based on empirical or theoretical models of residue interchangeability.

209

Publications

42.3K

Citations

616

Authors

302

Institutions

Publications per year

2017–2026

29

Variants

Scoring Matrix

Authors

616

  1. SF
    Stephen F. Altschul

    National Institutes of Health, United States

    8 publications · 1.5K citations

    8

    h-index

  2. SH
    Steven Henikoff

    Fred Hutch Cancer Center, United States

    5 publications · 926 citations

    5

    h-index

  3. MA
    Mark A. Jensen

    University of Washington, United States

    4 publications · 778 citations

    4

    h-index

  4. RG
    Robert Giegerich

    Bielefeld University, Germany

    4 publications · 214 citations

    4

    h-index

  5. JG
    Jorja G. Henikoff

    Fred Hutch Cancer Center, United States

    4 publications · 862 citations

    4

    h-index

1–5 of 616

Venues

  1. Bioinformatics

    36 publications · 7.8K citations

    25

    h-index

  2. Nucleic Acids Research

    18 publications · 5.2K citations

    18

    h-index

  3. BMC Bioinformatics

    17 publications · 2.3K citations

    16

    h-index

  4. Journal of Computational Biology

    9 publications · 418 citations

    9

    h-index

  5. PLoS ONE

    8 publications · 417 citations

    8

    h-index

1–5