Pseudogene Detection

Pseudogene Detection is a computational genomics method that identifies genomic loci exhibiting high sequence similarity to functional genes but containing disruptive mutations preventing their expression or function, thereby distinguishing them from functional paralogs and enabling accurate gene prediction and paralogy inference.

130

Publications

11.4K

Citations

602

Authors

241

Institutions

Publications per year

2017–2026

15

Authors

602

  1. MG
    Mark Gerstein

    Yale University, United States

    10 publications · 1.4K citations

    10

    h-index

  2. DZ
    Deyou Zheng

    Albert Einstein College of Medicine, United States

    6 publications · 673 citations

    6

    h-index

  3. PM
    Paul M. Harrison

    McGill University, Canada

    6 publications · 815 citations

    6

    h-index

  4. ZZ
    Zhaolei Zhang

    University of Toronto, Canada

    4 publications · 519 citations

    4

    h-index

  5. SB
    Suganthi Balasubramanian

    Regeneron (United States), United States

    3 publications · 560 citations

    3

    h-index

1–5 of 602

Venues

  1. Nucleic Acids Research

    14 publications · 3.4K citations

    13

    h-index

  2. Gene

    10 publications · 282 citations

    10

    h-index

  3. Genome Research

    GR · 7 publications · 1.5K citations

    7

    h-index

  4. BMC Genomics

    6 publications · 225 citations

    6

    h-index

  5. Human Mutation

    4 publications · 262 citations

    4

    h-index

1–5