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Improved Maximum Parsimony Models for Phylogenetic Networks

Authors: van Iersel, Leo; Jones, Mark; Scornavacca, Celine;

Improved Maximum Parsimony Models for Phylogenetic Networks

Abstract

Phylogenetic networks are well suited to represent evolutionary histories comprising reticulate evolution. Several methods aiming at reconstructing explicit phylogenetic networks have been developed in the last two decades. In this article, we propose a new definition of maximum parsimony for phylogenetic networks that permits to model biological scenarios that cannot be modeled by the definitions currently present in the literature (namely, the "hardwired" and "softwired" parsimony). Building on this new definition, we provide several algorithmic results that lay the foundations for new parsimony-based methods for phylogenetic network reconstruction.

Countries
Netherlands, France
Keywords

572, 330, [INFO] Computer Science [cs], Classification, Models, Biological, phylogenetic networks, parental parsimony, [INFO]Computer Science [cs], [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Maximum parsimony, Algorithms, Phylogeny, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

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selected citations
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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!
views
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19
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