Multi-omics-guided Strain Design

Multi-Omics-Guided Strain Design is a systematic approach in metabolic engineering that integrates genomic, transcriptomic, proteomic, and metabolomic data to identify targeted genetic modifications for optimizing microbial cell factories, distinguishing itself from conventional strain design methods through its holistic, data-driven utilization of multiple layers of biological information.

9

Publications

238

Citations

84

Authors

34

Institutions

Publications per year

2017–2026

7

Authors

84

  1. JK
    Joonhoon Kim

    Pacific Northwest National Laboratory, United States

    2 publications · 48 citations

    2

    h-index

  2. NJ
    Nathan J. Hillson

    Joint BioEnergy Institute, United States

    2 publications · 48 citations

    2

    h-index

  3. TL
    Teresa Lemmon

    Pacific Northwest National Laboratory, United States

    1 publications · 22 citations

    1

    h-index

  4. GB
    Gwénäelle Bestel‐Corre

    Centre National de la Recherche Scientifique, France

    1 publications · 16 citations

    1

    h-index

  5. JD
    Jay D. Keasling

    University of California, Berkeley, United States

    1 publications · 38 citations

    1

    h-index

1–5 of 84

Venues

  1. Frontiers in Bioengineering and Biotechnology

    3 publications · 75 citations

    3

    h-index

  2. Bioresource Technology

    1 publications · 20 citations

    1

    h-index

  3. UMYU Journal of Microbiology Research (UJMR)

    1 publications · 21 citations

    1

    h-index

  4. Metabolic Engineering Communications

    1 publications · 38 citations

    1

    h-index

  5. Molecular & Cellular Proteomics

    MCP · 1 publications · 16 citations

    1

    h-index

1–5