Mutation Rate Optimization

Mutation Rate Optimization is a methodological framework in error-prone mutagenesis that systematically adjusts the frequency and distribution of induced mutations to maximize the yield of beneficial genetic variants while minimizing deleterious or lethal mutations.

24

Publications

1.8K

Citations

84

Authors

41

Institutions

Publications per year

2017–2026

7

Authors

84

  1. DM
    Dusan Misevic

    Université Paris Cité, France

    2 publications · 187 citations

    2

    h-index

  2. SF
    Santiago F. Elena

    Instituto de Biología Molecular y Celular de Plantas, Spain

    2 publications · 187 citations

    2

    h-index

  3. RE
    Richard E. Lenski

    Michigan State University, United States

    2 publications · 187 citations

    2

    h-index

  4. CO
    Charles Ofria

    Michigan State University, United States

    2 publications · 187 citations

    2

    h-index

  5. JC
    Jeff Clune

    University of Wyoming, United States

    2 publications · 187 citations

    2

    h-index

1–5 of 84

Venues

  1. Computational Statistics

    1 publications · 15 citations

    1

    h-index

  2. Applied and Environmental Microbiology

    AEM · 1 publications · 104 citations

    1

    h-index

  3. Nature

    1 publications · 168 citations

    1

    h-index

  4. PLoS Computational Biology

    1 publications · 96 citations

    1

    h-index

  5. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 1 publications · 54 citations

    1

    h-index

1–5