Omics Data Visualization

Omics Data Visualization is a computational and representational methodology within bioinformatics that enables the integrative graphical portrayal of high-dimensional biological data derived from multiple molecular levels—such as genomics, transcriptomics, proteomics, and metabolomics—to facilitate the interpretation, analysis, and discovery of biological patterns and relationships.

356

Publications

51.6K

Citations

2.3K

Authors

710

Institutions

Publications per year

2017–2026

217

Authors

2.3K

  1. MT
    Masaru Tomita

    Keio University, Japan

    5 publications · 222 citations

    5

    h-index

  2. KA
    Kazuharu Arakawa

    Keio University Shonan Fujisawa, Japan

    4 publications · 210 citations

    4

    h-index

  3. AZ
    Andreï Zinovyev

    Institut Curie, France

    4 publications · 446 citations

    4

    h-index

  4. JX
    Jianguo Xia

    McGill University, Canada

    4 publications · 495 citations

    4

    h-index

  5. DC
    Daniel Clarke

    Icahn School of Medicine at Mount Sinai, United States

    4 publications · 409 citations

    4

    h-index

1–5 of 2.3K

Venues

  1. Nucleic Acids Research

    37 publications · 10K citations

    32

    h-index

  2. Bioinformatics

    47 publications · 4.6K citations

    26

    h-index

  3. BMC Bioinformatics

    23 publications · 1.4K citations

    18

    h-index

  4. Methods in molecular biology

    Book series · 9 publications · 401 citations

    12

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 14 publications · 403 citations

    11

    h-index

1–5