Genomic Data Integration Visualization

Genomic Data Integration Visualization is a computational visualization framework that enables the unified representation and interactive exploration of heterogeneous genomic datasets by combining data from multiple biological layers or sources into a coherent, spatially organized display.

33

Publications

4.7K

Citations

153

Authors

67

Institutions

Publications per year

2017–2026

7

Authors

153

  1. DC
    Dana C. Crawford

    Vanderbilt University, United States

    2 publications · 78 citations

    2

    h-index

  2. SA
    Sarah A. Pendergrass

    Pennsylvania State University, United States

    2 publications · 78 citations

    2

    h-index

  3. MD
    Marylyn D. Ritchie

    Vanderbilt University, United States

    2 publications · 78 citations

    2

    h-index

  4. SD
    Scott Dudek

    Vanderbilt University, United States

    2 publications · 78 citations

    2

    h-index

  5. AP
    Arthur P. Goldberg

    Icahn School of Medicine at Mount Sinai, United States

    1 publications · 275 citations

    1

    h-index

1–5 of 153

Venues

  1. Bioinformatics

    6 publications · 213 citations

    6

    h-index

  2. BMC Genomics

    3 publications · 499 citations

    3

    h-index

  3. BMC Bioinformatics

    2 publications · 298 citations

    2

    h-index

  4. Nucleic Acids Research

    2 publications · 227 citations

    2

    h-index

  5. Methods in molecular biology

    Book series · 2 publications · 466 citations

    2

    h-index

1–5