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. 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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