Structural Variation Handling

Structural Variation Handling is a computational method in reference-guided assembly that identifies, characterizes, and incorporates large-scale genomic alterations—such as insertions, deletions, inversions, and translocations—distinguishing itself from standard alignment procedures by explicitly resolving disparities between sequencing reads and the reference genome arising from structural differences.

12

Publications

981

Citations

68

Authors

30

Institutions

Publications per year

2017–2026

6

Authors

68

  1. DW
    Depeng Wang

    Grandomics (China), China

    1 publications · 464 citations

    1

    h-index

  2. PD
    Patrick Doreian

    University of Pittsburgh, United States

    1 publications · 48 citations

    1

    h-index

  3. AA
    Anunchai Assawamakin

    Mahidol University, Thailand

    1 publications · 27 citations

    1

    h-index

  4. BM
    Björn Menten

    Ghent University Hospital, Belgium

    1 publications · 62 citations

    1

    h-index

  5. YZ
    Yingfeng Zheng

    Sun Yat-sen University, China

    1 publications · 464 citations

    1

    h-index

1–5 of 68

Venues

  1. BMC Genomics

    2 publications · 41 citations

    2

    h-index

  2. BMC Bioinformatics

    1 publications · 88 citations

    1

    h-index

  3. Methods in molecular biology

    Book series · 1 publications · 35 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 17 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 80 citations

    1

    h-index

1–5