Genetic Redundancy Analysis

Genetic Redundancy Analysis is a methodological framework within computational genomics that identifies and quantifies the functional overlap among genes in a biological system by assessing the extent to which gene loss can be compensated by homologous or paralogous sequences.

231

Publications

22.7K

Citations

1.3K

Authors

476

Institutions

Publications per year

2017–2026

71

Authors

1.3K

  1. NK
    Nevzat Kazgan

    University of North Carolina at Chapel Hill, United States

    2 publications · 208 citations

    2

    h-index

  2. HI
    Hirotsugu Ishizu

    Keio University, Japan

    2 publications · 51 citations

    2

    h-index

  3. YT
    Yousuke Takaoka

    Kyoto University, Japan

    1 publications · 21 citations

    2

    h-index

  4. CN
    Corey Nislow

    University of Toronto, Canada

    2 publications · 190 citations

    2

    h-index

  5. SG
    Stephen G. Oliver

    University of Manchester, United Kingdom

    2 publications · 209 citations

    2

    h-index

1–5 of 1.3K

Venues

  1. PLANT PHYSIOLOGY

    10 publications · 2K citations

    10

    h-index

  2. Genetics

    10 publications · 837 citations

    10

    h-index

  3. Molecular Ecology

    9 publications · 1.4K citations

    9

    h-index

  4. PLoS ONE

    7 publications · 276 citations

    7

    h-index

  5. BMC Plant Biology

    6 publications · 456 citations

    6

    h-index

1–5