Tree Scoring

Tree Scoring is a methodological procedure in maximum likelihood phylogenetics that assigns a statistical likelihood value to a phylogenetic tree topology by evaluating the probability of observed sequence data given the tree's structure, branch lengths, and evolutionary model parameters.

24

Publications

7.8K

Citations

58

Authors

43

Institutions

Publications per year

2017–2026

2

Authors

58

  1. DD
    Diego Darriba

    Heidelberg Institute for Theoretical Studies, Germany

    2 publications · 4.8K citations

    2

    h-index

  2. TF
    Tomáš Flouri

    University College London, United Kingdom

    2 publications · 4.8K citations

    2

    h-index

  3. AS
    Alexandros Stamatakis

    Heidelberg Institute for Theoretical Studies, Germany

    2 publications · 4.8K citations

    2

    h-index

  4. AM
    Alexey M. Kozlov

    Heidelberg Institute for Theoretical Studies, Germany

    2 publications · 4.8K citations

    2

    h-index

  5. BM
    Benoît Morel

    Heidelberg Institute for Theoretical Studies, Germany

    2 publications · 4.8K citations

    2

    h-index

1–5 of 58

Venues

  1. Bioinformatics

    3 publications · 4.7K citations

    3

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  2. Advances in experimental medicine and biology

    Book series · 1 publications · 22 citations

    1

    h-index

  3. Cladistics

    1 publications · 2.2K citations

    1

    h-index

  4. 1

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  5. Brain Behavior and Evolution

    1 publications · 54 citations

    1

    h-index

1–5