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Rapidly Computing the Phylogenetic Transfer Index

Authors: Truszkowski, Jakub; Gascuel, Olivier; Swenson, Krister;

Rapidly Computing the Phylogenetic Transfer Index

Abstract

Abstract Given trees T and T * on the same taxon set, the transfer index ϕ ( b, T *) is the number of taxa that need to be ignored so that the bipartition induced by branch b in T is equal to some bipartition in T *. Recently, Lemoine et al . [14] used the transfer index to design a novel bootstrap analysis technique that improves on Felsenstein’s bootstrap on large, noisy data sets. In this work, we propose an algorithm that computes the transfer index for all branches b ∈ T in O ( n log 3 n ) time, which improves upon the current O ( n 2 )-time algorithm by Lin, Rajan and Moret [15]. Our implementation is able to process pairs of trees with hundreds of thousands of taxa in minutes and considerably speeds up the method of Lemoine et al . on large data sets. We believe our algorithm can be useful for comparing large phylogenies, especially when some taxa are misplaced (e.g. due to horizontal gene transfer, recombination, or reconstruction errors).

Countries
France, Germany
Keywords

data structures on trees, tree comparison, 004, Data structures on trees, Large phylogenies, large phylogenies, Tree comparison, Bootstrap analysis, bootstrap analysis, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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