Repeat Copy Number Estimation

Repeat Copy Number Estimation is a computational method in genomics that quantifies the number of tandem or interspersed repeat units within a DNA sequence by distinguishing repetitive structural patterns from non-repetitive genomic contexts.

45

Publications

5.5K

Citations

208

Authors

99

Institutions

Publications per year

2017–2026

7

Authors

208

  1. VW
    Virginia Walbot

    Stanford University, United States

    2 publications · 120 citations

    2

    h-index

  2. CJ
    Carol J. Rivin

    Oregon State University, United States

    2 publications · 120 citations

    2

    h-index

  3. CA
    Christopher A. Cullis

    Case Western Reserve University, United States

    2 publications · 120 citations

    2

    h-index

  4. DA
    David A. Jones

    Australian National University, Australia

    1 publications · 23 citations

    1

    h-index

  5. JP
    Juan Pedro M. Camacho

    Universidad de Granada, Spain

    1 publications · 38 citations

    1

    h-index

1–5 of 208

Venues

  1. Genome

    3 publications · 64 citations

    3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 1.2K citations

    3

    h-index

  3. Genetics

    3 publications · 269 citations

    3

    h-index

  4. Gene

    2 publications · 76 citations

    2

    h-index

  5. BMC Genomics

    2 publications · 152 citations

    2

    h-index

1–5