Repeat Clustering

Repeat Clustering is a computational method in genomics that groups homologous repetitive DNA sequences based on their sequence similarity and structural patterns to facilitate the systematic annotation and analysis of repetitive elements within genomes.

428

Publications

34.4K

Citations

1.6K

Authors

535

Institutions

Publications per year

2017–2026

38

Authors

1.6K

  1. JS
    J. S. Heslop‐Harrison

    University of Leicester, United Kingdom

    13 publications · 824 citations

    12

    h-index

  2. PN
    Pavel Neumann

    Institute of Plant Molecular Biology, Czechia

    9 publications · 2.1K citations

    9

    h-index

  3. TS
    Thomas Schmidt

    Technische Universität Dresden, Germany

    7 publications · 375 citations

    7

    h-index

  4. TS
    Trude Schwarzacher

    University of Leicester, United Kingdom

    6 publications · 566 citations

    6

    h-index

  5. RJ
    Roy J. Britten

    California Institute of Technology, United States

    6 publications · 3.7K citations

    6

    h-index

1–5 of 1.6K

Venues

  1. Journal of Molecular Biology

    JMB · 35 publications · 3.3K citations

    30

    h-index

  2. Chromosoma

    41 publications · 2.5K citations

    28

    h-index

  3. Chromosome Research

    21 publications · 945 citations

    18

    h-index

  4. Theoretical and Applied Genetics

    19 publications · 838 citations

    16

    h-index

  5. Nucleic Acids Research

    19 publications · 3.1K citations

    16

    h-index

1–5