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
209
1–5 of 209
616
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h-index
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h-index
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h-index
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4
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1–5 of 616
302
National Institutes of Health
Bethesda, United States
13 h-index
33 publications
3.7K citations
National Center for Biotechnology Information
Bethesda, United States
11 h-index
29 publications
3.3K citations
Fred Hutch Cancer Center
Seattle, United States
6 h-index
10 publications
1.9K citations
University of Washington
Seattle, United States
6 h-index
21 publications
19.5K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
11 publications
1.5K citations
Bielefeld University
Bielefeld, Germany
5 h-index
15 publications
2.5K citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
5 h-index
13 publications
677 citations
Stanford University
Stanford, United States
5 h-index
8 publications
939 citations
1–8 of 302
36 publications · 7.8K citations
25
h-index
18 publications · 5.2K citations
18
h-index
17 publications · 2.3K citations
16
h-index
9 publications · 418 citations
9
h-index
8 publications · 417 citations
8
h-index
1–5