2009
DOI: 10.1109/tcbb.2008.51
|View full text |Cite
|
Sign up to set email alerts
|

Robustness of Topological Supertree Methods for Reconciling Dense Incompatible Data

Abstract: Abstract-Given a collection of rooted phylogenetic trees with overlapping sets of leaves, a compatible supertree S is a single tree whose set of leaves is the union of the input sets of leaves and such that S agrees with each input tree when restricted to the leaves of the input tree. Typically with trees from real data, no compatible supertree exists, and various methods may be utilized to reconcile the incompatibilities in the input trees. This paper focuses on a measure of robustness of a supertree method c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2009
2009
2011
2011

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 31 publications
0
4
0
Order By: Relevance
“…The fact that triplet supertree methods are expected to be consistent under the multispecies coalescent suggests that a comparative study of the performance of triplet-based supertree and consensus methods for inferring species trees would be valuable for future study, including triplet MRP, rooted triple consensus (Ewing et al, 2008), normalized triplet supertrees (Willson, 2009), supertriplets (Ranwez et al, 2010), and some recent model-based methods such as maximum pseudolikelihood estimated species tree (Liu et al, 2010a) and a quartet version (for unrooted trees) of Bayesian Concordance Analysis (Larget et al, 2010). In addition to the theoretical results that rooted triple methods are typically robust, the simulations in this paper show that t-MRP can outperform MRP consensus for some species trees even with finite numbers of loci and using estimated gene trees (Figures 8 and 9), suggesting that a more thorough simulation study of t-MRP for estimating species trees would be warranted.…”
Section: Discussionmentioning
confidence: 99%
“…The fact that triplet supertree methods are expected to be consistent under the multispecies coalescent suggests that a comparative study of the performance of triplet-based supertree and consensus methods for inferring species trees would be valuable for future study, including triplet MRP, rooted triple consensus (Ewing et al, 2008), normalized triplet supertrees (Willson, 2009), supertriplets (Ranwez et al, 2010), and some recent model-based methods such as maximum pseudolikelihood estimated species tree (Liu et al, 2010a) and a quartet version (for unrooted trees) of Bayesian Concordance Analysis (Larget et al, 2010). In addition to the theoretical results that rooted triple methods are typically robust, the simulations in this paper show that t-MRP can outperform MRP consensus for some species trees even with finite numbers of loci and using estimated gene trees (Figures 8 and 9), suggesting that a more thorough simulation study of t-MRP for estimating species trees would be warranted.…”
Section: Discussionmentioning
confidence: 99%
“…If there are n species and i individuals sampled per species, this procedure would result in i 3 n 3 inferred rooted triples from which the species tree could be constructed using a supertree method such as MMC. With multiple rooted triples estimated on the same choice of three taxa, a supertree algorithm designed for high levels of conflict in the input triples might be useful, for example, normalized triplet supertree (Willson 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Hence, if all rooted triples are inferred correctly, then the tree that displays those rooted triples is the species tree topology. A broad class of supertree algorithms can be used to prove this result including BUILD (Aho et al 1981), matrix representation using parsimony (Baum 1992;Ragan 1992), mincut (Semple and Steel 2000), MMC (Page 2002), matrix representation using flipping (Chen et al 2003), and normalized triplet supertrees (Willson 2009).…”
Section: Mbementioning
confidence: 96%
See 1 more Smart Citation