"Normal" phylogenetic networks may be emerging as the leading class

2021/07/22 by Andrew Francis, Francis, Andrew · 2 citations
Biochemistry, Genetics and Molecular Biology · #05C90 #92B10 #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #Combinatorics (math.CO) #FOS: Biological sciences #FOS: Mathematics #Genomics and Phylogenetic Studies #Populations and Evolution (q-bio.PE)

paper · pdf · doi:10.48550/arxiv.2107.10414

openalex publication_date 2021/07/22 · openalex created_date 2021/08/02 · openalex updated_date 2026/07/28

Abstract

The rich and varied ways that genetic material can be passed between species has motivated extensive research into the theory of phylogenetic networks. Features that align with biological processes, or with desirable mathematical properties, have been used to define classes and prove results, with the goal of developing the theoretical foundations for network reconstruction methods. We may have now reached the point where a collection of recent results can be drawn together to make one class of network, the normal networks, a leading contender, sitting in the sweet spot between biological relevance and mathematical tractability.

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• Binary normal networks without near reticulations can be reconstructed from their rooted triples
• Inferring DAGs and Phylogenetic Networks from Least Common Ancestors

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