ArticlePloS one2022
A polynomial invariant for a new class of phylogenetic networks.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 7 citations in OpenAlex.
- Tree polynomials identify a link between co-transcriptional R-loops and nascent RNA folding.PLoS computational biology · 2024Article
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4 authors at 3 institutions in 2 countries.
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Abstract
Invariants for complicated objects such as those arising in phylogenetics, whether they are invariants as matrices, polynomials, or other mathematical structures, are important tools for distinguishing and working with such objects. In this paper, we generalize a complete polynomial invariant on trees to a class of phylogenetic networks called separable networks, which will include orchard networks. Networks are becoming increasingly important for their ability to represent reticulation events, such as hybridization, in evolutionary history. We provide a function from the space of internally multi-labelled phylogenetic networks, a more generic graph structure than phylogenetic networks where the reticulations are also labelled, to a polynomial ring. We prove that the separability condition allows us to characterize, via the polynomial, the phylogenetic networks with the same number of leaves and same number of reticulations by considering their internally labelled versions. While the invariant for trees is a polynomial in [Formula: see text] where n is the number of leaves, the invariant for internally multi-labelled phylogenetic networks is an element of [Formula: see text], where r is the number of reticulations in the network. When the networks are considered without leaf labels the number of variables reduces to r + 2.
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