Motif Conservation Analysis

Motif Conservation Analysis is a computational method in bioinformatics that identifies evolutionarily preserved sequence patterns across species by distinguishing functionally significant motifs from neutrally evolving sequences through comparative genomic analysis.

109

Publications

11.9K

Citations

456

Authors

214

Institutions

Publications per year

2017–2026

20

Authors

456

  1. TJ
    Toby J. Gibson

    European Molecular Biology Laboratory, Germany

    3 publications · 120 citations

    3

    h-index

  2. CC
    Claudia Chica

    Centre National de la Recherche Scientifique, France

    3 publications · 120 citations

    3

    h-index

  3. AG
    Anil G. Jegga

    Cincinnati Children's Hospital Medical Center, United States

    2 publications · 35 citations

    2

    h-index

  4. JC
    Jessica C. Kissinger

    University of Georgia, United States

    2 publications · 89 citations

    2

    h-index

  5. IL
    Ivo L. Hofacker

    University of Vienna, Austria

    2 publications · 92 citations

    2

    h-index

1–5 of 456

Venues

  1. Nucleic Acids Research

    14 publications · 1.8K citations

    13

    h-index

  2. Bioinformatics

    8 publications · 468 citations

    8

    h-index

  3. Molecular Biology and Evolution

    MBE · 6 publications · 493 citations

    6

    h-index

  4. Genome biology

    6 publications · 597 citations

    6

    h-index

  5. PLoS ONE

    5 publications · 268 citations

    5

    h-index

1–5