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OPTItree: advanced models, methods, and algorithms for phylogenetic estimation

Project description

Mathematical tools for reconstructing evolutionary relationships

Understanding how organisms evolve and relate to one another requires reconstructing their evolutionary history from genetic data, a process called phylogenetics. Accurate phylogenetic trees are essential for tracking viral pandemics, understanding bacterial resistance and studying tumour evolution. However, identifying the mathematically optimal tree from large datasets is computationally demanding, forcing researchers to rely on approximate methods that cannot guarantee accuracy. With the support of the Marie Skłodowska-Curie Actions programme, the OPTItree project aims to develop scalable mathematical methods for exact and certified phylogenetic inference. Applied to real-world biological datasets, these tools will improve the reliability of evolutionary analysis in medicine and biology.

Objective

The OPTItree project seeks to enhance the scalability of mathematical models for computational phylogenetics, ensuring either provable correctness of the inferred phylogeny or certified solution quality. Determining the correct phylogeny is of crucial importance when studying the evolution of bacteria, viruses, and tumoral cells—especially in sensitive scenarios such as pandemics and tumorigenesis. To this end, this project investigates fundamental mathematical properties at the core of computational phylogenetics—a field at the intersection of mathematics, computer science, and molecular biology that develops models and algorithms to infer evolutionary relationships (phylogenies) from inherited traits such as DNA or genomes. These relationships are typically represented by OPTImal tree structures that are solutions to high-dimensional nonlinear optimization problems. Determining these optimal solutions is often very computationally expensive, and this severely limits the size of datasets that can be processed. To overcome this computational bottleneck, existing software relies on heuristic algorithms, which, however, cannot certify the correctness of the inferred trees. OPTItree focuses on a promising exact method based on the balanced minimum evolution criterion, known for its statistical consistency and cutting-edge theoretical foundations. Specifically, the project aims to: (i) provide deeper insight into the polyhedral structure underlying phylogenetic inference, in order to outperform the current state-of-the-art models that are capable of exactly solving only datasets of very small size for real-world applications; and (ii) design tailored approximation algorithms to efficiently find solutions of certified quality, to be used when exact methods cannot be applied.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

UNIVERSITA CA' FOSCARI VENEZIA
Net EU contribution
€ 209 483,28
Address
DORSODURO 3246
30123 Venezia
Italy
Region
Nord-Est Veneto Venezia
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Partners (1)