Comparative Motif Analysis

Comparative Motif Analysis is a systematic computational method that identifies and evaluates conserved or divergent sequence, structural, or functional motifs across biological entities by contrasting motif occurrences in different contexts to infer evolutionary, regulatory, or functional relationships.

19

Publications

1.6K

Citations

96

Authors

48

Institutions

Publications per year

2017–2026

2

Authors

96

  1. MT
    Morgane Thomas‐Chollier

    Centre National de la Recherche Scientifique, France

    2 publications · 451 citations

    2

    h-index

  2. JV
    Jacques van Helden

    Université Libre de Bruxelles, Belgium

    2 publications · 451 citations

    2

    h-index

  3. DT
    Denis Thieffry

    Inserm, France

    2 publications · 451 citations

    2

    h-index

  4. RJ
    Richard J. Edwards

    UNSW Sydney, Australia

    1 publications · 52 citations

    1

    h-index

  5. YM
    Young Min Oh

    Hanyang University, South Korea

    1 publications · 29 citations

    1

    h-index

1–5 of 96

Venues

  1. Nucleic Acids Research

    4 publications · 673 citations

    4

    h-index

  2. Bioinformatics

    3 publications · 98 citations

    3

    h-index

  3. PLoS Computational Biology

    2 publications · 59 citations

    2

    h-index

  4. Fish & Shellfish Immunology

    1 publications · 34 citations

    1

    h-index

  5. Genome Research

    GR · 1 publications · 154 citations

    1

    h-index

1–5