Shayesteh Arasti

DecoDiPhy deconvolves phylogenetic distance mixtures to improve interpretability and downstream analysis in metagenomics.

BROOQS resolves level-1 phylogenetic networks by efficiently aggregating quartet information without quartet symmetry tests, improving accuracy and scalability.

Phlag detects genomic regions with inconsistent evolutionary processes by modeling gene trees as a stochastic process along the genome.

This paper introduces a method to match branch lengths between trees, improving accuracy in phylogenomic analyses by addressing the challenges of heterogeneous branch length measurements.

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.

This paper introduces a convolutional neural network to detect interspecific positive selection, achieving higher accuracy and robustness to alignment errors compared to traditional statistical methods.