Motif Detection

Motif Detection is a computational method in bioinformatics that identifies conserved sequence patterns within biological macromolecules by statistically modeling position-specific character frequencies and insertions/deletions using Profile Hidden Markov Models.

987

Publications

105.3K

Citations

2.7K

Authors

968

Institutions

Publications per year

2017–2026

112

Authors

2.7K

  1. TL
    Timothy L. Bailey

    The University of Queensland, Australia

    28 publications · 33.3K citations

    24

    h-index

  2. SR
    Sanguthevar Rajasekaran

    University of Connecticut, United States

    12 publications · 597 citations

    12

    h-index

  3. NE
    Norman E. Davey

    University College Dublin, Ireland

    11 publications · 1.5K citations

    11

    h-index

  4. JS
    Jun S. Liu

    Harvard University, United States

    10 publications · 1K citations

    10

    h-index

  5. KM
    Kathleen Marchal

    KU Leuven, Belgium

    10 publications · 1.1K citations

    10

    h-index

1–5 of 2.7K

Venues

  1. Nucleic Acids Research

    104 publications · 33.5K citations

    55

    h-index

  2. Bioinformatics

    148 publications · 18.8K citations

    51

    h-index

  3. BMC Bioinformatics

    83 publications · 3.7K citations

    31

    h-index

  4. Computer applications in the biosciences

    CABIOS · 36 publications · 2.6K citations

    25

    h-index

  5. Journal of Computational Biology

    32 publications · 2.5K citations

    21

    h-index

1–5