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ABSTRACT: Background
Inferring 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.Results
We 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.Conclusions
We show in simulated studies that DISTIQUE has comparable accuracy to leading coalescent-based summary methods and reduced running times.
SUBMITTER: Sayyari E
PROVIDER: S-EPMC5123309 | biostudies-literature | 2016 Nov
REPOSITORIES: biostudies-literature
Sayyari Erfan E Mirarab Siavash S
BMC genomics 20161111 Suppl 10
<h4>Background</h4>Inferring 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.<h4>Results</h4>We 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 estim ...[more]