Eddy Mendoza-Galindo

This study sequences the giant Y chromosome of Silene latifolia and reveals its structure, function, and evolutionary history.

The paper uses Arabidopsis gene expression data to train machine learning models for predicting tissue identity in other flowering plants, finding that gene expression signatures are more predictive than marker genes.