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
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…
Citation impact
- FWCI
- 53.30
- Percentile
- 100%
- References
- 30
Authors
2Topics & keywords
- Coalescent theory
- Set (abstract data type)
- Computer science
- Tree (set theory)
- Sorting
- Algorithm
- Mathematics
- Biology