Single Nucleotide Variant Classification

Single Nucleotide Variant Classification is a computational method in genomics that categorizes single nucleotide variants based on their biological impact, distinguishing it from other variant classification approaches by its exclusive focus on substitutions at individual nucleotide positions.

25

Publications

1.8K

Citations

169

Authors

86

Institutions

Publications per year

2017–2026

15

Authors

169

  1. CY
    Changhui Yan

    North Dakota State University, United States

    2 publications · 38 citations

    2

    h-index

  2. YH
    Yi‐Hsuan Huang

    National Taiwan University Hospital, Taiwan

    1 publications · 22 citations

    1

    h-index

  3. BO
    Brendan O’Fallon

    University of Utah, United States

    1 publications · 45 citations

    1

    h-index

  4. BH
    Beatrice H. Hahn

    University of Alabama at Birmingham, United States

    1 publications · 273 citations

    1

    h-index

  5. FS
    Fredrik Sterky

    KTH Royal Institute of Technology, Sweden

    1 publications · 18 citations

    1

    h-index

1–5 of 169

Venues

  1. Frontiers in Molecular Biosciences

    1 publications · 36 citations

    1

    h-index

  2. Genome Research

    GR · 1 publications · 17 citations

    1

    h-index

  3. Nucleic Acids Research

    1 publications · 16 citations

    1

    h-index

  4. Heredity

    1 publications · 45 citations

    1

    h-index

  5. Econstor (Econstor)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5