Gap-enabled Alignment Algorithms

Gap-Enabled Alignment Algorithms is a computational method in bioinformatics that belongs to the class of sequence alignment algorithms and is specifically characterized by its explicit incorporation of gap penalties to model insertion and deletion events in biological sequences.

78

Publications

78.6K

Citations

274

Authors

160

Institutions

Publications per year

2017–2026

5

Authors

274

  1. TF
    Tomáš Flouri

    University College London, United Kingdom

    4 publications · 47 citations

    4

    h-index

  2. SP
    Solon P. Pissis

    King's College London, United Kingdom

    4 publications · 47 citations

    4

    h-index

  3. WM
    Webb Miller

    Pennsylvania State University, United States

    3 publications · 2.5K citations

    3

    h-index

  4. CS
    Costas S. Iliopoulos

    King's College London, United Kingdom

    3 publications · 35 citations

    3

    h-index

  5. RF
    Randall F. Smith

    Baylor College of Medicine, United States

    2 publications · 572 citations

    2

    h-index

1–5 of 274

Venues

  1. Bioinformatics

    12 publications · 2K citations

    11

    h-index

  2. Bulletin of Mathematical Biology

    6 publications · 538 citations

    6

    h-index

  3. Journal of Computational Biology

    4 publications · 83 citations

    4

    h-index

  4. 3

    h-index

  5. Genome Research

    GR · 3 publications · 9.8K citations

    3

    h-index

1–5