Modular Domain Shuffling

Modular Domain Shuffling is a computational framework in diversity generation that systematically recombines discrete functional units across distinct domains to enhance variation while preserving modular integrity and functionality.

18

Publications

3K

Citations

126

Authors

58

Institutions

Publications per year

2017–2026

6

Authors

126

  1. PB
    Peer Bork

    European Molecular Biology Laboratory, Germany

    2 publications · 1.7K citations

    2

    h-index

  2. SM
    Stéphane Mesnage

    University of Sheffield, United Kingdom

    1 publications · 27 citations

    1

    h-index

  3. JA
    John A. Porco

    Boston University, United States

    1 publications · 29 citations

    1

    h-index

  4. GK
    Geanna K. Min

    Aarhus University, Denmark

    1 publications · 29 citations

    1

    h-index

  5. JS
    JGI Sequencing

    Vanderbilt University, United States

    1 publications · 1.2K citations

    1

    h-index

1–5 of 126

Venues

  1. Genome Biology and Evolution

    GBE · 2 publications · 217 citations

    2

    h-index

  2. Nature Communications

    2 publications · 104 citations

    2

    h-index

  3. Journal of Bacteriology

    JB · 1 publications · 27 citations

    1

    h-index

  4. Chemical Communications

    ChemComm · 1 publications · 105 citations

    1

    h-index

  5. Proteins Structure Function and Bioinformatics

    1 publications · 508 citations

    1

    h-index

1–5