book chapter · 2005
Phylogenetic Networks
Katharina T. Huber, Vincent Moulton
Cited by 24Abstract and details only
Abstract
Abstract Phylogenetic networks a.re a. generalization of phylogenetic trees that permit the representation of conflicting signal or alternative phylogenetic histories. Networks are clearly useful when the underlying evolutionary history is nontreelike. Recombination, hybridization, lateral gene transfer can all lead to histories that are not adequately modelled by a single tree. Moreover, even in case the underlying history is treelike, phenomena such as parallel evolution, model heterogeneity, and sampling error can make it difficult to represent the history by a single tree. In such situations networks can provide a useful tool for representing ambiguity or for simultaneously visualizing a collection of feasible trees. In this chapter, we will review some methods for network reconstruction that are based on the representation of bipartitions or splits of the data set in question. As we shall see, these methods are based on a theoretical foundation that naturally generalizes the theory of phylogenetic trees.
Cite this paper
Huber, K. T., & Moulton, V. (2005). Phylogenetic Networks. https://doi.org/10.1093/oso/9780198566106.003.0007
Huber, Katharina T., and Vincent Moulton. “Phylogenetic Networks.” 2005, pp. 178–204, https://doi.org/10.1093/oso/9780198566106.003.0007.
Huber, Katharina T., and Vincent Moulton. 2005. “Phylogenetic Networks.” https://doi.org/10.1093/oso/9780198566106.003.0007.
Huber, K.T. and Moulton, V. (2005) ‘Phylogenetic Networks’. Available at: https://doi.org/10.1093/oso/9780198566106.003.0007.
@incollection{huber2005phylogenetic,
title = {{Phylogenetic Networks}},
author = {Huber, Katharina T. and Moulton, Vincent},
pages = {178--204},
year = {2005},
doi = {10.1093/oso/9780198566106.003.0007}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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