Repeat Motif Detection

Repeat Motif Detection is a computational method in motif discovery that identifies recurring patterns or sequences within biological or symbolic data, distinguished by its focus on detecting substrings or structural elements that exhibit significant repetition across the input dataset.

80

Publications

4.1K

Citations

430

Authors

189

Institutions

Publications per year

2017–2026

15

Authors

430

  1. AS
    Arthur S. Tatham

    University of Bristol, United Kingdom

    3 publications · 82 citations

    3

    h-index

  2. PR
    Peter R. Shewry

    Rothamsted Research, United Kingdom

    3 publications · 82 citations

    3

    h-index

  3. EN
    E. N. Clare Mills

    Quadram Institute, United Kingdom

    2 publications · 51 citations

    2

    h-index

  4. CS
    Costas S. Iliopoulos

    King's College London, United Kingdom

    2 publications · 55 citations

    2

    h-index

  5. JL
    Jonathan L. King

    University of North Texas, United States

    2 publications · 61 citations

    2

    h-index

1–5 of 430

Venues

  1. Nucleic Acids Research

    5 publications · 839 citations

    5

    h-index

  2. BMC Bioinformatics

    5 publications · 320 citations

    5

    h-index

  3. PLoS ONE

    4 publications · 163 citations

    4

    h-index

  4. Bioinformatics

    3 publications · 81 citations

    3

    h-index

  5. Scientific Reports

    2 publications · 48 citations

    2

    h-index

1–5