swMATH ID: 20492
Software Authors: S. Mirarab, T. Warnow
Description: ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes. 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 substantial advantages over ASTRAL: it is faster, can analyze much larger datasets (up to 1000 species and 1000 genes) and has substantially better accuracy under some conditions. ASTRAL’s running time is O(n2k∣∣X∣∣2), and ASTRAL-II’s running time is O(nk|X|2). , where n is the number of species, k is the number of loci and X is the set of allowed bipartitions for the search space. Availability and implementation: ASTRAL-II is available in open source at https://github.com/smirarab/ASTRAL and datasets used are available at http://www.cs.utexas.edu/ phylo/datasets/astral2/. Contact:smirarab@gmail.com
Homepage: https://github.com/smirarab/ASTRAL
Source Code:  https://github.com/smirarab/ASTRAL
Related Software: ASTRID; STEM-hy; FastTree; RAxML; BEAST; Quartets MaxCut; OCTAL; BUCKy; FastMe; MrBayes; ape; PhyloNet; DEPP; SimPhy; DendroPy; Seq-Gen; PAUP*; Phylo-MCOA; APPLES; PhyloGeoTool
Cited in: 22 Publications

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