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The fields of phylogenetic tree and network inference have dramatically advanced in the last decade, but independently with few attempts to bridge them. Here we provide a framework, implemented in the phangorn library in R, to transfer information between trees and networks. This includes: 1) identifying and labelling equivalent tree branches and network edges, 2) transferring branch support to network edges, and 3) mapping bipartition support from a sample of trees (e.g. from bootstrapping or Bayesian inference) onto network edges. The ability to readily combine tree and network information should lead to more comprehensive evolutionary comparisons and conclusions.
This manuscript deals with a major update to the phangorn R library which focuses on objects and functions to transfer information between phylogenetic tree and network analyses. It has been submitted to a peer reviewed journal.