Tessa R MacNish

This paper develops an unsupervised machine learning framework for variant quality recalibration in crops, enabling high-quality variant discovery without reference datasets.

This study constructs the largest wheat pangenome to identify gene variants in landraces that are absent in modern cultivars, highlighting their potential for improving wheat resilience.