Qtl Clustering

Qtl Clustering is a computational method in quantitative trait locus mapping that groups statistically linked or physically proximal quantitative trait loci across multiple studies or traits to identify genomic regions with consistent phenotypic effects.

53

Publications

4K

Citations

347

Authors

133

Institutions

Publications per year

2017–2026

14

Authors

347

  1. JY
    Jun‐ichi Yonemaru

    Institute of Agrobiological Sciences, Japan

    2 publications · 335 citations

    2

    h-index

  2. AC
    Alain Charcosset

    Centre National de la Recherche Scientifique, France

    2 publications · 365 citations

    2

    h-index

  3. YZ
    Yuan‐Ming Zhang

    Nanjing Agricultural University, China

    2 publications · 167 citations

    2

    h-index

  4. MY
    Masahiro Yano

    Institute of Agrobiological Sciences, Japan

    2 publications · 335 citations

    2

    h-index

  5. TY
    Toshio Yamamoto

    Institute of Agrobiological Sciences, Japan

    2 publications · 335 citations

    2

    h-index

1–5 of 347

Venues

  1. Theoretical and Applied Genetics

    7 publications · 1.1K citations

    7

    h-index

  2. BMC Genetics

    3 publications · 111 citations

    3

    h-index

  3. Rice

    2 publications · 335 citations

    2

    h-index

  4. International Journal of Molecular Sciences

    IJMS · 2 publications · 65 citations

    2

    h-index

  5. Genome

    2 publications · 146 citations

    2

    h-index

1–5