Beyond infinite sites: Generalized ABBA-BABA statistic for deeper phylogenies
The paper introduces D+ and D* statistics to improve detection of gene flow by addressing saturation bias in deeper phylogenies using multiallelic site patterns.
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University of California San DiegoORCID 0000-0002-4222-9968Unclaimed ORCID profile · follow to get notified of new preprints
6 papers
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The paper introduces D+ and D* statistics to improve detection of gene flow by addressing saturation bias in deeper phylogenies using multiallelic site patterns.
WASTER infers shallow phylogenies from low-coverage short reads without assembly or alignment, achieving accuracy comparable to traditional methods at lower costs.
Yasamin Tabatabaee, Chao Zhang, Shayesteh Arasti, Siavash Mirarab
This paper introduces CASTLES-Pro, a method for estimating species tree branch lengths that accounts for gene duplication, loss, and incomplete lineage sorting, showing improved accuracy over existing methods.
Chao Zhang, Yiming Zhao, Edward Louis Braun, Siavash Mirarab
TAPER identifies and removes small stretches of error in sequence alignments while preserving most of the data, improving alignment accuracy.
Chao Zhang, Céline Scornavacca, Erin K. Molloy, Siavash Mirarab
ASTRAL-Pro improves species tree inference by handling gene duplication and loss, outperforming existing methods in complex scenarios.
Jens Luebeck, Ceyda Çoruh, Siavash R. Dehkordi…·Vineet Bafna
AmpliconReconstructor integrates optical mapping and NGS to resolve focal amplifications in cancer, revealing complex structures and origins of ecDNA and other rearrangements.