Vincent Moulton

The paper uses machine learning to analyze S. aureus genomes, identifying enterotoxin genes and revealing lineage and geographic patterns in their distribution.

This paper introduces an algorithm to reconstruct semi-directed phylogenetic level-1 networks from four-leaved networks or sequence alignments, demonstrating its performance on simulated and real data.

PAREameters infers miRNA-mRNA targeting rules from RNA sequencing data, showing increased sensitivity when using data-inferred criteria across multiple plant species.

SPECTRE provides open-source tools for analyzing reticulate evolution using split-networks and supports integration into analysis pipelines.