Taxon ordering in phylogenetic trees: a workbench test
2011
Improving Phylogenetic Tree Interpretations
publication
Evidence: moderate
Author Information
Author(s): Francesco Cerutti, Luigi Bertolotti, Tony L. Goldberg, Mario Giacobini
Primary Institution: University of Torino
Hypothesis
Can a novel method based on an evolutionary algorithm improve the ordering of taxa in phylogenetic trees?
Conclusion
The method enhances the interpretability of phylogenetic trees by providing meaningful taxon order and reducing misinterpretations.
Supporting Evidence
- The algorithm improved tree representations by clustering geographically close samples.
- Using combined genetic and geographic distance matrices yielded better results.
- The method was tested on trees of three different RNA viruses.
Takeaway
This study shows a new way to arrange branches in family trees of viruses so that they make more sense and are easier to understand.
Methodology
The study applied a (λ + μ)-Evolutionary Algorithm to reorder taxa based on genetic and geographic distance matrices.
Limitations
The method may be less effective with small numbers of taxa.
Digital Object Identifier (DOI)
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