Haplotype-based Variant Detection

Haplotype-Based Variant Detection is a variant detection method that identifies genetic variants by analyzing contiguous sequences of alleles inherited together on a single chromosome, thereby leveraging haplotype structure to improve accuracy and resolve ambiguous variants compared to individual nucleotide-based approaches.

78

Publications

7.5K

Citations

481

Authors

208

Institutions

Publications per year

2017–2026

19

Authors

481

  1. RA
    Richard A. Gatti

    University of California, Los Angeles, United States

    3 publications · 147 citations

    3

    h-index

  2. MG
    Melissa Gymrek

    University of California San Diego, United States

    3 publications · 98 citations

    3

    h-index

  3. RA
    Rafael Aldana

    Sentieon (United States), United States

    3 publications · 114 citations

    3

    h-index

  4. JD
    Johannes Dapprich

    Generation Biotech (United States), United States

    2 publications · 39 citations

    2

    h-index

  5. HJ
    Habi Joseph

    University of California San Diego, United States

    2 publications · 88 citations

    2

    h-index

1–5 of 481

Venues

  1. Human Mutation

    7 publications · 284 citations

    7

    h-index

  2. Nucleic Acids Research

    5 publications · 144 citations

    5

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 99 citations

    4

    h-index

  4. The American Journal of Human Genetics

    AJHG · 4 publications · 268 citations

    4

    h-index

  5. PubMed

    Repository · 3 publications · 188 citations

    3

    h-index

1–5