Heterozygosity Handling

Heterozygosity Handling is a computational method in diploid genome assembly that specifically addresses the challenge of distinguishing and accurately reconstructing allelic differences arising from heterozygous regions within an individual's genome.

20

Publications

5.8K

Citations

112

Authors

61

Institutions

Publications per year

2017–2026

7

Authors

112

  1. RD
    Richard Durbin

    Wellcome Sanger Institute, United Kingdom

    4 publications · 3K citations

    4

    h-index

  2. SM
    Shane McCarthy

    Wellcome Sanger Institute, United Kingdom

    3 publications · 2.9K citations

    3

    h-index

  3. JW
    Jonathan Wood

    Wellcome Sanger Institute, United Kingdom

    2 publications · 2.9K citations

    2

    h-index

  4. YW
    Yadong Wang

    Harbin Institute of Technology, China

    2 publications · 2.9K citations

    2

    h-index

  5. DG
    Dengfeng Guan

    Harbin Institute of Technology, China

    2 publications · 2.9K citations

    2

    h-index

1–5 of 112

Venues

  1. GigaScience

    2 publications · 135 citations

    2

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 87 citations

    2

    h-index

  3. Bioinformatics

    2 publications · 3.1K citations

    2

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 286 citations

    2

    h-index

  5. Genetics

    2 publications · 118 citations

    2

    h-index

1–5