This article provides a comprehensive evaluation of two leading coalescent-based species tree estimation methods, ASTRAL and SVDquartets.
This article provides a comprehensive guide for researchers and drug development professionals on the critical issue of substitution rate variation in phylogenetic introgression testing.
Phylogenomic introgression analysis is pivotal for understanding evolutionary histories, yet missing data remains a significant challenge that can bias species tree estimation and introgression detection.
Accurately identifying true introgression is critical for evolutionary studies and biomedical research, yet it is frequently confounded by false positives from ancestral polymorphism and selection.
This article explores cutting-edge parameter optimization techniques transforming phylogenetic network inference, addressing critical computational bottlenecks in analyzing evolutionary relationships.
Accurate gene tree inference is foundational for evolutionary studies, drug target discovery, and understanding disease mechanisms, yet it is highly dependent on the quality of input sequence alignments.
Accurately distinguishing between incomplete lineage sorting (ILS) and introgression is a critical challenge in phylogenomics, with profound implications for understanding evolutionary history, species delimitation, and biomedical applications such as drug...
This article provides a comprehensive guide for researchers and scientists on simulating introgression under the coalescent model with recombination, a cornerstone of modern evolutionary genomics.
This article provides a systematic framework for filtering genomic alignment blocks to mitigate the confounding effects of recombination in phylogenetic analysis.
The multispecies coalescent (MSC) model provides a powerful framework for inferring species histories from genomic data.