REMAG: recovery of eukaryotic genomes from metagenomic data using non-contrastive self-supervised learning
Daniel Gómez‐Pérez, Sébastien Raguideau, Sally D. Warring, Robert S James, Falk Hildebrand, Christopher Quince
REMAG improves eukaryotic genome recovery from metagenomic data by using non-contrastive self-supervised learning, outperforming existing tools in producing near-complete genomes.
bioRxiv · Oct 13, 2026 · PreprintBioinformatics