Emilios Tassios

The paper investigates the evolutionary origins of protein novelty in Saccharomycotina yeasts, identifying two distinct modes of de novo and divergent gene evolution and their structural implications.

The paper uses machine learning to identify diverged orphan genes from similarity search outputs, finding that ~30% of simulated orphans are predicted to be divergent.

The paper investigates TM-forming potential in intergenic regions of Saccharomycotina yeasts and finds it is pervasive but variable across species.

The paper investigates positional preferences of gene duplicates in S. cerevisiae, finding SSD and WGD genes occupy distinct chromosomal niches with different structural and regulatory features.