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

Links