The huge amount of molecular data available nowadays can help addressing new and essential questions in evolution. However, reconstructing evolution requires models, algorithms, and statistical and computational methods of ever increasing complexity.
Out unit aims at developing new methodologies and algorithms that are able to tackle efficiently the ever increasing amount of sequencing data, in the field of evolution and molecular phylogeny.
The preferred applications relate to the evolution of viruses and other pathogens, in correlating their evolutionary history and available epidemiological data.
