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

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.

Bibliographic Details
Main Authors: Thomas Badet, Simone Fouché, Fanny E. Hartmann, Marcello Zala, Daniel Croll
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23862-x