Hypermutation Systems

Hypermutation Systems is a computational framework within diversity generation that enables targeted, high-frequency variation in specific components of a system to accelerate the exploration of novel solutions while maintaining overall structural integrity.

27

Publications

1.4K

Citations

173

Authors

94

Institutions

Publications per year

2017–2026

7

Authors

173

  1. CC
    Chang C. Liu

    University of California, Irvine, United States

    3 publications · 237 citations

    3

    h-index

  2. SK
    Seokhee Kim

    Seoul National University, South Korea

    2 publications · 199 citations

    2

    h-index

  3. JE
    John E. Dueber

    University of California, Berkeley, United States

    2 publications · 199 citations

    2

    h-index

  4. ZH
    Zachary Heins

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 199 citations

    2

    h-index

  5. AS
    Ahmad S. Khalil

    Boston University, United States

    2 publications · 199 citations

    2

    h-index

1–5 of 173

Venues

  1. Nature Reviews Methods Primers

    2 publications · 199 citations

    2

    h-index

  2. British Journal of Haematology

    BJH · 2 publications · 186 citations

    2

    h-index

  3. Journal of Viral Hepatitis

    2 publications · 49 citations

    2

    h-index

  4. Trends in Genetics

    TIG · 1 publications · 18 citations

    1

    h-index

  5. Retrovirology

    1 publications · 20 citations

    1

    h-index

1–5