tripVote
tripVote completes partially represented gene trees without requiring a species tree by optimizing quartet distance to a given set of gene trees.
Key Features:
- Species-tree-free completion: Completes gene trees without relying on a reference species tree.
- Quartet-distance optimization: Formulates completion as an optimization problem minimizing quartet distance relative to a given set of gene trees.
- Algorithmic extension: Extends the algorithm of Brodal et al. to address the gene-tree completion problem.
- Quasi-linear time complexity: Solves the completion problem in quasi-linear time.
- Reference-based inference: Uses other gene trees as references to place missing taxa.
- Validation on data: Demonstrated accuracy on simulated studies and empirical data analyses.
- Missing-data focus: Targets missing taxa common in genome-wide phylogenomic datasets.
Scientific Applications:
- Gene tree completion for downstream analyses: Enables completion of gene trees required by downstream phylogenomic methods.
- Phylogenetic inference without a species tree: Permits reconstruction of gene-level phylogenies when a comprehensive species tree is unavailable.
- Comparative genomics and evolutionary history: Supports investigations of genetic relationships and evolutionary histories using completed gene trees.
Methodology:
Formulates gene-tree completion as an optimization minimizing quartet distance to a set of gene trees, extends the Brodal et al. algorithm to solve this problem, and implements a solution with quasi-linear time complexity using other gene trees as references.
Topics
Details
- License:
- LGPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- C++, Python
- Added:
- 6/8/2022
- Last Updated:
- 6/8/2022
Operations
Publications
Mai U, Mirarab S. Completing gene trees without species trees in sub-quadratic time. Bioinformatics. 2022;38(6):1532-1541. doi:10.1093/bioinformatics/btab875. PMID:34978565.
PMID: 34978565
Funding: - National Science Foundation: IIS-1845967
- NSF: ACI-1053575