Repeat Contraction Analysis

Repeat Contraction Analysis is a computational method within repeat sequence analysis that specifically identifies and quantifies the reduction in copy number or length of tandem or interspersed repetitive DNA elements across generations or biological conditions.

7

Publications

477

Citations

65

Authors

23

Institutions

Publications per year

2017–2026

2

Authors

65

  1. JH
    John H. Wilson

    Baylor College of Medicine, United States

    2 publications · 91 citations

    2

    h-index

  2. VD
    Vincent Dion

    Friedrich Miescher Institute, Switzerland

    2 publications · 91 citations

    2

    h-index

  3. HH
    Hideki Hayakawa

    The University of Osaka, Japan

    1 publications · 147 citations

    1

    h-index

  4. AM
    Asako Murata

    The University of Osaka, Japan

    1 publications · 147 citations

    1

    h-index

  5. SB
    Sureshkumar Balasubramanian

    Monash University, Australia

    1 publications · 96 citations

    1

    h-index

1–5 of 65

Venues

  1. Molecular and Cellular Biology

    MCB · 2 publications · 91 citations

    2

    h-index

  2. Virology Journal

    1 publications · 56 citations

    1

    h-index

  3. American Journal of Medical Genetics

    1 publications · 15 citations

    1

    h-index

  4. Science

    1 publications · 96 citations

    1

    h-index

  5. Nature Genetics

    1 publications · 147 citations

    1

    h-index

1–5