Machine-learning predicts genomic determinants of meiosis-driven structural variation in a eukaryotic pathogen

Abstract

Structural variation in genomes of the same species is frequent but what drives the rearrangements remains unclear. Machine-learning of rearrangement patterns among telomere-to-telomere assemblies can accurately identify regions of intrinsic DNA instability in a eukaryotic pathogen.