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A method for detecting positive selection at single amino acid sites
Yoshiyuki Suzuki,
Takashi Gojobori
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Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
397
Scopus citations
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Dive into the research topics of 'A method for detecting positive selection at single amino acid sites'. Together they form a unique fingerprint.
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Agricultural and Biological Sciences
Cladistics
100%
Amino Acid
100%
Synonymous Substitution
100%
Branches
75%
White Blood Cell
50%
Codon
50%
Nonsynonymous Substitution
50%
Human Immunodeficiency Virus
25%
Hemagglutinin
25%
Biochemistry, Genetics and Molecular Biology
Synonymous Substitution
100%
Antigen Recognition
100%
Phylogenetic Tree
100%
Nonsynonymous Substitution
50%
Codon
50%
Human Leukocyte Antigen
50%
Hemagglutinin
25%
Strength
25%
Human Immunodeficiency Virus
25%
Influenza Virus
25%
Immunology and Microbiology
Phylogenetic Tree
100%
Antigen Recognition
100%
Codon
50%
Human Leukocyte Antigen
50%
Strength
25%
Human Immunodeficiency Virus
25%
Influenza Virus Hemagglutinin
25%
Keyphrases
Single Amino Acid
100%
Antigen Recognition Site
60%
Total Branch Length
40%
Human Leukocyte Antigen
20%
Human Leukocyte Antigen Genes
20%
Hemagglutinin Protein
20%