QuartetScores
QuartetScores quantifies phylogenetic incongruence by computing quartet-based internode certainty (IC) measures for complete and partial phylogenetic trees.
Key Features:
- Quartet-based IC measures: Implements three IC measures derived from quartet frequencies applicable to both complete and partial phylogenetic trees.
- Robustness to missing taxa: Quartet-based measures maintain consistent IC scores across datasets with high proportions of missing taxa, avoiding the overestimation observed with some bipartition-based approaches.
- Error resilience: Exhibits greater robustness to errors in phylogenetic inference and to absence of phylogenetic signal.
- Handling of partial gene trees: Accommodates incomplete gene trees without requiring adjustments to bipartition frequencies from partial gene trees.
Scientific Applications:
- Phylogenomic incongruence analysis: Provides more accurate internode certainty estimates to identify and characterize topological conflict within internal branches of phylogenetic trees, particularly when data partitions (e.g., genes) have missing taxa.
- Benchmarking of IC measures: Enables comparison with bipartition-based IC measures on simulated datasets and mammalian phylogenomic data, showing similar scores for complete datasets and more consistent scores across varying levels of missing taxa.
Methodology:
Calculates IC by analyzing quartet frequencies and implements three quartet-frequency–based IC measures applicable to complete and partial trees; this quartet-based approach inherently accommodates incomplete datasets without modifying bipartition frequencies as done in bipartition-based methods.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- C++
- Added:
- 11/14/2019
- Last Updated:
- 12/11/2020
Operations
Publications
Zhou X, Lutteropp S, Czech L, Stamatakis A, Looz MV, Rokas A. Quartet-Based Computations of Internode Certainty Provide Robust Measures of Phylogenetic Incongruence. Systematic Biology. 2019;69(2):308-324. doi:10.1093/sysbio/syz058. PMID:31504977.
PMID: 31504977
Funding: - National Key Project for Basic Research of China: 2015CB150600
- Key Laboratory of Ministry of Education for Genetics: GBMUC-2018-005
- National Science Foundation: DEB-1442113