Copy Number Optimization

Copy Number Optimization is a computational method used in synthetic biology to minimize metabolic burden in engineered organisms by fine-tuning the number of gene copies to achieve optimal expression without compromising cellular fitness.

119

Publications

10.7K

Citations

630

Authors

208

Institutions

Publications per year

2017–2026

47

Authors

630

  1. EK
    Eric Klavins

    University of Washington, United States

    2 publications · 41 citations

    2

    h-index

  2. SA
    Samuel A. Burden

    University of Washington, United States

    2 publications · 41 citations

    2

    h-index

  3. NN
    Nils Napp

    University at Buffalo, State University of New York, United States

    2 publications · 41 citations

    2

    h-index

  4. SK
    Sang Ki Rhee

    Korea Research Institute of Bioscience and Biotechnology, South Korea

    2 publications · 104 citations

    2

    h-index

  5. HA
    Hyun Ah Kang

    Chung-Ang University, South Korea

    2 publications · 104 citations

    2

    h-index

1–5 of 630

Venues

  1. Journal of Agricultural and Food Chemistry

    8 publications · 422 citations

    9

    h-index

  2. Gene

    7 publications · 2K citations

    7

    h-index

  3. ACS Synthetic Biology

    7 publications · 1.2K citations

    7

    h-index

  4. Nucleic Acids Research

    6 publications · 363 citations

    6

    h-index

  5. Biotechnology and Bioengineering

    4 publications · 231 citations

    5

    h-index

1–5