Comparison of orchard networks using their extended $\mu$-representation
Gabriel Cardona, Joan Carles Pons, Gerard Ribas, Tom\'as Mart\'inez, Coronado

TL;DR
This paper introduces an extended $fcf1f3n of orchard networks using their $f3f1f3n representation, enabling efficient comparison and a sound metric for these biologically significant phylogenetic networks.
Contribution
It extends the $f3f1f3n representation to include reticulation paths, allowing for efficient distinction and metric definition on orchard networks.
Findings
Extended $f3f1f3n distinguishes orchard networks.
A computable, sound metric on orchard networks is proposed.
Comparison of orchard networks is made efficient through the new representation.
Abstract
Phylogenetic networks generalize phylogenetic trees in order to model reticulation events. Although the comparison of phylogenetic trees is well studied, and there are multiple ways to do it in an efficient way, the situation is much different for phylogenetic networks. Some classes of phylogenetic networks, mainly tree-child networks, are known to be classified efficiently by their -representation, which essentially counts, for every node, the number of paths to each leaf. In this paper, we introduce the extended -representation of networks, where the number of paths to reticulations is also taken into account. This modification allows us to distinguish orchard networks and to define a sound metric on the space of such networks that can, moreover, be computed efficiently. The class of orchard networks, as well as being one of the classes with biological significance (one…
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Taxonomy
TopicsEvolution and Paleontology Studies · Genomics and Phylogenetic Studies · Bioinformatics and Genomic Networks
