Sequence Logo Analysis

Sequence Logo Analysis is a computational method in bioinformatics that visually represents the conserved patterns and variability of nucleotide or amino acid residues at each position in a set of aligned biological sequences, using information theory to quantify residue frequencies and their informational content.

55

Publications

21.6K

Citations

190

Authors

93

Institutions

Publications per year

2017–2026

16

Authors

190

  1. TD
    Thomas D. Schneider

    National Cancer Institute, United States

    6 publications · 3.8K citations

    6

    h-index

  2. MN
    Morten Nielsen

    Technical University of Denmark, Denmark

    3 publications · 525 citations

    3

    h-index

  3. JB
    Justin B. Kinney

    Cold Spring Harbor Laboratory, United States

    2 publications · 606 citations

    2

    h-index

  4. OL
    Ole Lund

    Technical University of Denmark, Denmark

    2 publications · 61 citations

    2

    h-index

  5. AT
    Ammar Tareen

    Cold Spring Harbor Laboratory, United States

    2 publications · 606 citations

    2

    h-index

1–5 of 190

Venues

  1. Nucleic Acids Research

    14 publications · 5.2K citations

    14

    h-index

  2. BMC Bioinformatics

    7 publications · 263 citations

    7

    h-index

  3. Bioinformatics

    7 publications · 1.7K citations

    7

    h-index

  4. Briefings in Bioinformatics

    3 publications · 160 citations

    3

    h-index

  5. PLoS ONE

    2 publications · 31 citations

    2

    h-index

1–5