Gapped Alignment Modeling

Gapped Alignment Modeling is a computational framework within Profile Hidden Markov Models that specifically accounts for insertions and deletions in biological sequence alignments by structurally embedding gap states into the model topology to distinguish homologous from non-homologous regions.

21

Publications

836

Citations

54

Authors

33

Institutions

Publications per year

2017–2026

1

Authors

54

  1. JL
    Jia Li

    Shanghai Institute of Materia Medica, China

    2 publications · 26 citations

    2

    h-index

  2. RB
    Ralf Bundschuh

    The Ohio State University, United States

    2 publications · 72 citations

    2

    h-index

  3. WM
    Webb Miller

    Pennsylvania State University, United States

    2 publications · 26 citations

    2

    h-index

  4. RG
    Robin Gras

    University of Windsor, Canada

    1 publications · 13 citations

    1

    h-index

  5. JW
    Junwen Wang

    University of Hong Kong, Hong Kong SAR China

    1 publications · 31 citations

    1

    h-index

1–5 of 54

Venues

  1. Journal of Computational Biology

    4 publications · 154 citations

    4

    h-index

  2. Computational Biology and Chemistry

    CBAC · 2 publications · 32 citations

    2

    h-index

  3. Bioinformatics

    2 publications · 73 citations

    2

    h-index

  4. Discrete Applied Mathematics

    1 publications · 35 citations

    1

    h-index

  5. Bulletin of Mathematical Biology

    1 publications · 26 citations

    1

    h-index

1–5