Sequence Pattern Recognition

Sequence Pattern Recognition is a computational method within sequence analysis that identifies statistically significant motifs or recurring structures in sequential data by distinguishing them from random background patterns through algorithmic detection and evaluation.

2.1K

Publications

180.8K

Citations

5K

Authors

1.5K

Institutions

Publications per year

2017–2026

385

Authors

5K

  1. EK
    Eamonn Keogh

    University of California, Riverside, United States

    28 publications · 4.6K citations

    25

    h-index

  2. AA
    Alberto Apostolico

    Purdue University West Lafayette, United States

    18 publications · 1K citations

    15

    h-index

  3. CS
    Costas S. Iliopoulos

    King's College London, United Kingdom

    14 publications · 445 citations

    13

    h-index

  4. TL
    Timothy L. Bailey

    The University of Queensland, Australia

    13 publications · 15.9K citations

    13

    h-index

  5. PF
    Philippe Fournier‐Viger

    Harbin Institute of Technology, China

    11 publications · 450 citations

    11

    h-index

1–5 of 5K

Venues

  1. Bioinformatics

    118 publications · 9K citations

    47

    h-index

  2. Nucleic Acids Research

    58 publications · 34.7K citations

    37

    h-index

  3. BMC Bioinformatics

    56 publications · 3K citations

    29

    h-index

  4. Computer applications in the biosciences

    CABIOS · 52 publications · 3.9K citations

    27

    h-index

  5. Journal of Computational Biology

    30 publications · 2.1K citations

    22

    h-index

1–5