Intertwining phylogenetic trees and networks. Schliep, K., Potts, A. J., Morrison, D. A., & Grimm, G. W. Methods in Ecology and Evolution, 8(10):1212–1220, 2017.
Intertwining phylogenetic trees and networks [link]Paper  doi  abstract   bibtex   
The fields of phylogenetic tree and network inference have dramatically advanced in the past 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: (i) identifying and labelling equivalent tree branches and network edges, (ii) transferring tree branch support to network edges, and (iii) 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 inferences.
@article{schliep2017Intertwining,
	title = {Intertwining phylogenetic trees and networks},
	volume = {8},
	copyright = {© 2017 The Authors. Methods in Ecology and Evolution © 2017 British Ecological Society},
	issn = {2041-210X},
	url = {https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.12760},
	doi = {10.1111/2041-210X.12760},
	abstract = {The fields of phylogenetic tree and network inference have dramatically advanced in the past 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: (i) identifying and labelling equivalent tree branches and network edges, (ii) transferring tree branch support to network edges, and (iii) 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 inferences.},
	language = {en},
	number = {10},
	urldate = {2020-02-23},
	journal = {Methods in Ecology and Evolution},
	author = {Schliep, Klaus and Potts, Alastair J. and Morrison, David A. and Grimm, Guido W.},
	year = {2017},
	keywords = {R, exploratory data analysis, networks, phangorn, trees},
	pages = {1212--1220}
}

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