Gap Scoring Models

Gap Scoring Models is a computational framework in read mapping that assigns penalties or scores to gaps introduced during sequence alignment, distinguishing it from other scoring models by specifically quantifying the cost of insertions and deletions to optimize alignment accuracy.

9

Publications

1.3K

Citations

66

Authors

40

Institutions

Publications per year

2017–2026

4

Authors

66

  1. RN
    Ryo Nagasawa

    Juntendo University, Japan

    1 publications · 15 citations

    1

    h-index

  2. HL
    Hong Lyeol Lee

    Inha University Hospital, South Korea

    1 publications · 48 citations

    1

    h-index

  3. JC
    Jack C. Y. Cheng

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 28 citations

    1

    h-index

  4. JW
    Jong Wook Shin

    Chung-Ang University, South Korea

    1 publications · 48 citations

    1

    h-index

  5. CW
    Chiu‐Wing Winnie Chu

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 28 citations

    1

    h-index

1–5 of 66

Venues

  1. Bioinformatics

    2 publications · 842 citations

    2

    h-index

  2. The Spine Journal

    1 publications · 28 citations

    1

    h-index

  3. Scientific Reports

    1 publications · 48 citations

    1

    h-index

  4. Canadian Respiratory Journal

    1 publications · 15 citations

    1

    h-index

  5. The Annals of Statistics

    1 publications · 57 citations

    1

    h-index

1–5