A few logs suffice to build (almost) all trees: part II
Theoretical Computer Science
Constructing optimal trees from quartets
Journal of Algorithms
Phylogenetic Networks: Modeling, Reconstructibility, and Accuracy
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Rooted Maximum Agreement Supertrees
Algorithmica
Algorithms for Combining Rooted Triplets into a Galled Phylogenetic Network
SIAM Journal on Computing
Inferring a level-1 phylogenetic network from a dense set of rooted triplets
Theoretical Computer Science - Computing and combinatorics
Beyond galled trees: decomposition and computation of galled networks
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Level-k Phylogenetic Networks Are Constructable from a Dense Triplet Set in Polynomial Time
CPM '09 Proceedings of the 20th Annual Symposium on Combinatorial Pattern Matching
The Structure of Level-k Phylogenetic Networks
CPM '09 Proceedings of the 20th Annual Symposium on Combinatorial Pattern Matching
Metrics for Phylogenetic Networks II: Nodal and Triplets Metrics
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Constructing Level-2 Phylogenetic Networks from Triplets
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Natural Computing: an international journal
An algorithm for constructing parsimonious hybridization networks with multiple phylogenetic trees
RECOMB'13 Proceedings of the 17th international conference on Research in Computational Molecular Biology
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Jansson and Sung showed that, given a dense set of input triplets T (representing hypotheses about the local evolutionary relationships of triplets of taxa), it is possible to determine in polynomial time whether there exists a level-1 network consistent with T, and if so to construct such a network [18]. Here we extend this work by showing that this problem is even polynomial-time solvable for the construction of level-2 networks. This shows that, assuming density, it is tractable to construct plausible evolutionary histories from input triplets even when such histories are heavily non-tree like. This further strengthens the case for the use of triplet-based methods in the construction of phylogenetic networks. We also implemented the algorithm and applied it to yeast data.