Terrace Aware Data Structure for Phylogenomic Inference from Supermatrices
In phylogenomics the analysis of concatenated gene alignments, the so-called supermatrix, is commonly accompanied by the assumption of partition models. Under such models each gene, or more generally partition, is allowed to evolve under its own evolutionary model. Although partition models provide a more comprehensive analysis of supermatrices, missing data may hamper the tree search algorithms due to the existence of phylogenetic (partial) terraces. Here, we introduce the phylogenetic terrace aware (PTA) data structure for the efficient analysis under partition models. In the presence of missing data PTA exploits (partial) terraces and induced partition trees to save computation time. We show that an implementation of PTA in IQ-TREE leads to a substantial speedup of up to 4.5 and 8 times compared with the standard IQ-TREE and RAxML implementations, respectively. PTA is generally applicable to all types of partition models and common topological rearrangements thus can be employed by all phylogenomic inference software.
Top- Chernomor, Olga
- von Haeseler, Arndt
- Minh, Bui Quang
Category |
Journal Paper |
Divisions |
Bioinformatics and Computational Biology |
Journal or Publication Title |
Systematic Biology |
ISSN |
1063-5157 |
Publisher |
Oxford University Press, on behalf of the Society of Systematic Biologists |
Place of Publication |
London |
Page Range |
pp. 997-1008 |
Number |
6 |
Volume |
65 |
Date |
November 2016 |
Official URL |
http://dx.doi.org/10.1093/sysbio/syw037 |
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