Purifying Selection Analysis

Purifying Selection Analysis is a computational genomics method that identifies evolutionary constraints by detecting the reduced frequency of deleterious mutations in functional genomic elements, distinguishing it from other selection analyses through its focus on the removal of harmful variants rather than the promotion of advantageous ones.

223

Publications

13.9K

Citations

1.5K

Authors

543

Institutions

Publications per year

2017–2026

98

Authors

1.5K

  1. LD
    Laurence D. Hurst

    University of Bath, United Kingdom

    3 publications · 176 citations

    3

    h-index

  2. YZ
    Yi Zhang

    Wuhan University, China

    2 publications · 184 citations

    2

    h-index

  3. CX
    Chuan Xiao

    China North Industries Group Corporation (China), China

    2 publications · 538 citations

    2

    h-index

  4. CS
    Caitlin S. Pepperell

    University of Wisconsin–Madison, United States

    2 publications · 171 citations

    2

    h-index

  5. JP
    Jiaofeng Peng

    Shenzhen University, China

    2 publications · 36 citations

    2

    h-index

1–5 of 1.5K

Venues

  1. Molecular Biology and Evolution

    MBE · 19 publications · 1.4K citations

    17

    h-index

  2. PLoS ONE

    18 publications · 783 citations

    16

    h-index

  3. BMC Evolutionary Biology

    11 publications · 345 citations

    11

    h-index

  4. Frontiers in Plant Science

    10 publications · 407 citations

    9

    h-index

  5. Genome Biology and Evolution

    GBE · 8 publications · 289 citations

    8

    h-index

1–5