Sequence Motif Search

Sequence Motif Search is a computational method in bioinformatics that identifies conserved patterns within biological sequences by detecting statistically significant, recurring sequence motifs that distinguish functional or structural elements across related sequences.

644

Publications

88.2K

Citations

2.3K

Authors

817

Institutions

Publications per year

2017–2026

88

Authors

2.3K

  1. TL
    Timothy L. Bailey

    The University of Queensland, Australia

    17 publications · 26.9K citations

    16

    h-index

  2. SR
    Sanguthevar Rajasekaran

    University of Connecticut, United States

    10 publications · 468 citations

    10

    h-index

  3. NE
    Norman E. Davey

    University College Dublin, Ireland

    9 publications · 1.4K citations

    9

    h-index

  4. EK
    Eamonn Keogh

    University of California, Riverside, United States

    7 publications · 789 citations

    7

    h-index

  5. MT
    Martin Tompa

    University of Washington, United States

    7 publications · 1.2K citations

    7

    h-index

1–5 of 2.3K

Venues

  1. Nucleic Acids Research

    87 publications · 44.1K citations

    53

    h-index

  2. Bioinformatics

    77 publications · 7.7K citations

    36

    h-index

  3. BMC Bioinformatics

    49 publications · 2.8K citations

    23

    h-index

  4. Computer applications in the biosciences

    CABIOS · 20 publications · 1.3K citations

    20

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 17 publications · 3.4K citations

    16

    h-index

1–5