articleBioinformaticsJun 10, 2015HYBRID OA

ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes

University of Illinois Urbana-Champaign · The University of Texas at Austin

PubMed
Indexed incrossrefdoajpubmed

Abstract

MOTIVATION: The estimation of species phylogenies requires multiple loci, since different loci can have different trees due to incomplete lineage sorting, modeled by the multi-species coalescent model. We recently developed a coalescent-based method, ASTRAL, which is statistically consistent under the multi-species coalescent model and which is more accurate than other coalescent-based methods on the datasets we examined. ASTRAL runs in polynomial time, by constraining the search space using a set of allowed 'bipartitions'. Despite the limitation to allowed bipartitions, ASTRAL is statistically consistent. RESULTS: We present a new version of ASTRAL, which we call ASTRAL-II. We show that ASTRAL-II has…

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1,025
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Authors

2

Topics & keywords

Keywords
  • Coalescent theory
  • Set (abstract data type)
  • Computer science
  • Tree (set theory)
  • Sorting
  • Algorithm
  • Mathematics
  • Biology
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