QUANTA: A quantum annealing framework for species tree estimation using weighted quartet amalgamation
Reconstructing species trees from genome-scale data is challenging due to pervasive gene tree discordance. Maximizing quartet consistency is a widely used approach for species tree inference from multi-locus data. Quartet amalgamation approaches, such as Quartet Fiduccia-Mattheyse (QFM) and Quartet MaxCut (QMC) families, have emerged as highly accurate quartet-based species tree inference…
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