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Counting Phylogenetic Networks with Few Reticulation Vertices: Tree-Child and Normal Networks
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In recent decades, phylogenetic networks have become a standard tool in modeling evolutionary processes. Nevertheless, basic combinatorial questions about them are still largely open. For instance, even the asymptotic counting problem for the class of phylogenetic networks and subclasses is unsolved. In this paper, we propose a method based on generating functions to count networks with few reticulation vertices for two subclasses which are important in applications: tree-child networks and normal networks. In particular, our method can be used to completely solve the asymptotic counting problem for these network classes when the number of reticulation vertices remains fixed and the network size tends to infinity.
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Cited by 1 Pith paper
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Counting Spinal Tree-Child Networks via Word Encodings and Generating Functions
Spinal tree-child networks are enumerated via restricted words with fixed multiplicities modulo relabeling for closed formulas and via bivariate generating functions from recursive marked-tree specifications.
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