AI-based methodologies for phylogeny: model selection and tuning dataset-specific search Parameters
Researchers: Prof. Tal Pupko (Shmunis School of Biomedicine and Cancer Research), Prof. Yishay Mansour (Computer Science), and Prof. Itay Mayrose (Plant Sciences)
Researchers: Prof. Tal Pupko (Shmunis School of Biomedicine and Cancer Research), Prof. Yishay Mansour (Computer Science), and Prof. Itay Mayrose (Plant Sciences)
AI is revolutionizing all aspects of life. In our research, we leverage recent advances in AI to study evolution. Specifically, we have developed novel AI algorithms to reconstruct phylogenetic trees, which help us understand the relationships between species and how the diversity of life on Earth has evolved from ancestral species.
Reconstructing these trees is a well-known and challenging computational task. However, with the massive increase in data size, this task is becoming even more complex. Our AI-based algorithms aim to provide more accurate phylogenetic trees and make it feasible to analyze very large datasets, which are expected to become increasingly common in the coming decade.