Integrated Omics Constraints

Integrated Omics Constraints is a computational modeling framework that incorporates multi-omics data into genome-scale metabolic models to refine flux predictions by imposing biological feasibility through layered regulatory, expression, and metabolic constraints.

5

Publications

318

Citations

24

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

24

  1. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    2 publications · 180 citations

    2

    h-index

  2. AE
    Ali Ebrahim

    University of California San Diego, United States

    2 publications · 180 citations

    2

    h-index

  3. ED
    Estrella Duque

    Estación Experimental del Zaidín, Spain

    1 publications · 59 citations

    1

    h-index

  4. JA
    Jean Armengaud

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    1 publications · 59 citations

    1

    h-index

  5. MC
    Max Conway

    University of Cambridge, United Kingdom

    1 publications · 49 citations

    1

    h-index

1–5 of 24

Venues

  1. Microbial Biotechnology

    1 publications · 59 citations

    1

    h-index

  2. Bioinformatics

    1 publications · 136 citations

    1

    h-index

  3. Microbial Cell Factories

    1 publications · 30 citations

    1

    h-index

  4. Briefings in Bioinformatics

    1 publications · 49 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 44 citations

    1

    h-index

1–5