Marco Labagnara

This paper introduces optovolution, a directed evolution method using light and cell cycle oscillations to evolve dynamic protein functionalities, and demonstrates its application in yeast.

The paper introduces neural networks for tracking and lineage tracing in budding yeast, achieving robust performance on new and existing datasets.

The paper uses a single-cell optogenetic method to test models of how DNA damage checkpoints count DNA breaks in yeast, finding that proteins at ss/dsDNA boundaries are essential for checkpoint maintenance.

The paper introduces PIPOline, a computational tool for designing plasmids for marker-free genome editing in budding yeast, and demonstrates its application for gene tagging and deletion.