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
24
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference
Alexey M. Kozlov, Diego Darriba, Tomáš Flouri et al. · Bioinformatics · 2019 · 4.5K citations · Full text
1–5 of 24
58
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Heidelberg Institute for Theoretical Studies, Germany
2 publications · 4.8K citations
2
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Heidelberg Institute for Theoretical Studies, Germany
2 publications · 4.8K citations
2
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2
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1–5 of 58
43
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
2 h-index
2 publications
79 citations
Heidelberg Institute for Theoretical Studies
Heidelberg, Germany
2 h-index
10 publications
24K citations
The University of Osaka
Osaka, Japan
2 h-index
2 publications
84 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
2 publications
4.8K citations
University of Technology Sydney
Sydney, Australia
1 h-index
1 publications
14 citations
University of Veterinary Medicine Vienna
Vienna, Austria
1 h-index
1 publications
15 citations
Fundación Miguel Lillo
San Miguel de Tucumán, Argentina
1 h-index
1 publications
2.2K citations
University of Massachusetts Boston
Boston, United States
1 h-index
3 publications
45 citations
1–8 of 43
3 publications · 4.7K citations
3
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Book series · 1 publications · 22 citations
1
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1 publications · 2.2K citations
1
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1 publications · 25 citations
1
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1 publications · 54 citations
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