Dynamic Pathway Visualization

Dynamic Pathway Visualization is a computational approach within pathway visualization that enables real-time, interactive representation and manipulation of biological or metabolic pathways to reflect temporally evolving states, contextual conditions, or quantitative flux changes, thereby distinguishing it from static pathway diagrams by incorporating time-dependent or condition-responsive elements.

11

Publications

469

Citations

56

Authors

24

Institutions

Publications per year

2017–2026

1

Authors

56

  1. CP
    Christian Partl

    Graz University of Technology, Austria

    2 publications · 46 citations

    2

    h-index

  2. DK
    Denis Kalkofen

    Graz University of Technology, Austria

    2 publications · 46 citations

    2

    h-index

  3. MS
    Marc Streit

    Johannes Kepler University of Linz, Austria

    2 publications · 46 citations

    2

    h-index

  4. AL
    Alexander Lex

    University of Utah, United States

    2 publications · 46 citations

    2

    h-index

  5. KK
    Karl Kashofer

    Medical University of Graz, Austria

    2 publications · 46 citations

    2

    h-index

1–5 of 56

Venues

  1. Bioinformatics

    3 publications · 192 citations

    3

    h-index

  2. 1

    h-index

  3. Journal of Computational Chemistry

    1 publications · 93 citations

    1

    h-index

  4. Molecular BioSystems

    1 publications · 13 citations

    1

    h-index

  5. BMC Genomics

    1 publications · 30 citations

    1

    h-index

1–5