ArticleBMC genomics2016
Anchoring quartet-based phylogenetic distances and applications to species tree reconstruction.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- BROOQS: Spectral Methods Resolve Level-1 Hybridization Cycles without Tests of Symmetry.bioRxiv : the preprint server for biology · 2026Article
- Article
- Median quartet tree search algorithms using optimal subtree prune and regraft.Algorithms for molecular biology : AMB · 2024Article
- Recent progress on methods for estimating and updating large phylogenies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- QuCo: quartet-based co-estimation of species trees and gene trees.Bioinformatics (Oxford, England) · 2022Article
- ASTRAL-Pro: Quartet-Based Species-Tree Inference despite Paralogy.Molecular biology and evolution · 2020Article
- Phylogenomics resolves major relationships and reveals significant diversification rate shifts in the evolution of silk moths and relatives.BMC evolutionary biology · 2019Article
- QS-Net: Reconstructing Phylogenetic Networks Based on Quartet and Sextet.Frontiers in genetics · 2019Article
- ASTRAL-III: polynomial time species tree reconstruction from partially resolved gene trees.BMC bioinformatics · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInferring species trees from gene trees using the coalescent-based summary methods has been the subject of much attention, yet new scalable and accurate methods are needed.
resultsWe introduce DISTIQUE, a new statistically consistent summary method for inferring species trees from gene trees under the coalescent model. We generalize our results to arbitrary phylogenetic inference problems; we show that two arbitrarily chosen leaves, called anchors, can be used to estimate relative distances between all other pairs of leaves by inferring relevant quartet trees. This results in a family of distance-based tree inference methods, with running times ranging between quadratic to quartic in the number of leaves.
conclusionsWe show in simulated studies that DISTIQUE has comparable accuracy to leading coalescent-based summary methods and reduced running times.
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Registered trials
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