Sequence Similarity Visualization

Sequence Similarity Visualization is a visual analytics method that enables the comparative analysis of sequential data by graphically representing the degree and pattern of similarity among sequences, distinguishing it from general sequence visualization techniques through its focused emphasis on quantified similarity relationships.

100

Publications

51K

Citations

414

Authors

180

Institutions

Publications per year

2017–2026

20

Authors

414

  1. GJ
    Geoffrey J. Barton

    University of Dundee, United Kingdom

    3 publications · 1.2K citations

    3

    h-index

  2. TT
    Tatiana Tatusova

    National Center for Biotechnology Information, United States

    3 publications · 51 citations

    3

    h-index

  3. CO
    Christos Ouzounis

    European Bioinformatics Institute, United Kingdom

    2 publications · 248 citations

    2

    h-index

  4. JM
    J. Michael Cherry

    Stanford University, United States

    2 publications · 1.3K citations

    2

    h-index

  5. JI
    Jonathan I. Helfman

    AT&T (United States), United States

    2 publications · 149 citations

    2

    h-index

1–5 of 414

Venues

  1. Bioinformatics

    17 publications · 2K citations

    16

    h-index

  2. Nucleic Acids Research

    8 publications · 8K citations

    8

    h-index

  3. BMC Bioinformatics

    6 publications · 480 citations

    6

    h-index

  4. Genome Research

    GR · 4 publications · 13.2K citations

    4

    h-index

  5. Computer applications in the biosciences

    CABIOS · 4 publications · 230 citations

    4

    h-index

1–5