Variable Gap Penalty

Variable Gap Penalty is a gap penalty function in sequence alignment that assigns position- or context-dependent scores to gap initiation and extension, distinguishing itself from fixed penalty models by varying the cost of gaps based on local sequence features, evolutionary considerations, or alignment dynamics.

17

Publications

876

Citations

41

Authors

27

Institutions

Publications per year

2017–2026

2

Authors

41

  1. ML
    Michael Levitt

    Stanford University, United States

    1 publications · 117 citations

    1

    h-index

  2. GB
    Giancarlo Bigi

    University of Pisa, Italy

    1 publications · 19 citations

    1

    h-index

  3. SR
    S. Raghavan

    The University of Texas at Austin, United States

    1 publications · 37 citations

    1

    h-index

  4. LD
    Ludo De Bie

    Janssen (Belgium), Belgium

    1 publications · 21 citations

    1

    h-index

  5. BH
    Bernard Henrissat

    Centre National de la Recherche Scientifique, France

    1 publications · 144 citations

    1

    h-index

1–5 of 41

Venues

  1. Protein Engineering Design and Selection

    PEDS · 4 publications · 403 citations

    4

    h-index

  2. Journal of Computational Biology

    3 publications · 53 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

  4. Molecular Biology and Evolution

    MBE · 1 publications · 182 citations

    1

    h-index

  5. 1

    h-index

1–5