Motif Discovery

Motif Discovery is a computational method in sequence analysis that identifies statistically significant, recurring patterns within biological sequences, distinguished by its focus on detecting short, conserved motifs that may represent functional or structural elements.

4.2K

Publications

463.6K

Citations

12.5K

Authors

2.6K

Institutions

Publications per year

2017–2026

822

Authors

12.5K

  1. TL
    Timothy L. Bailey

    The University of Queensland, Australia

    44 publications · 37K citations

    32

    h-index

  2. GD
    Gary D. Stormo

    Washington University in St. Louis, United States

    39 publications · 5.6K citations

    26

    h-index

  3. EK
    Eamonn Keogh

    University of California, Riverside, United States

    32 publications · 4.2K citations

    25

    h-index

  4. TJ
    Toby J. Gibson

    European Molecular Biology Laboratory, Germany

    25 publications · 4K citations

    24

    h-index

  5. JV
    Jacques van Helden

    Université Libre de Bruxelles, Belgium

    27 publications · 5K citations

    23

    h-index

1–5 of 12.5K

Venues

  1. Nucleic Acids Research

    596 publications · 148.5K citations

    149

    h-index

  2. Bioinformatics

    422 publications · 42.2K citations

    95

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 92 publications · 17.9K citations

    60

    h-index

  4. BMC Bioinformatics

    247 publications · 16.1K citations

    54

    h-index

  5. Genome Research

    GR · 86 publications · 11.5K citations

    53

    h-index

1–5