Bootstrap Resampling

Bootstrap Resampling is a statistical method in phylogenetics that involves repeatedly sampling with replacement from an original sequence alignment to generate a collection of pseudo-replicated datasets for assessing the robustness of inferred phylogenetic clades.

710

Publications

82.4K

Citations

2.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

151

Authors

2.5K

  1. BE
    Bradley Efron

    Stanford University, United States

    4 publications · 3.2K citations

    4

    h-index

  2. PH
    Peter Hall

    Australian National University, Australia

    4 publications · 356 citations

    4

    h-index

  3. SK
    Sudhir Kumar

    Arizona State University, United States

    4 publications · 282 citations

    4

    h-index

  4. BQ
    Bùi Quang Minh

    Australian National University, Australia

    4 publications · 16.5K citations

    4

    h-index

  5. MJ
    Michael J. Sanderson

    University of Massachusetts Chan Medical School, United States

    4 publications · 463 citations

    4

    h-index

1–5 of 2.5K

Venues

  1. Systematic Biology

    16 publications · 8.2K citations

    15

    h-index

  2. Molecular Biology and Evolution

    MBE · 15 publications · 17.8K citations

    14

    h-index

  3. 13

    h-index

  4. Biometrics

    10 publications · 606 citations

    10

    h-index

  5. Bioinformatics

    10 publications · 2.9K citations

    10

    h-index

1–5