BioinformaticsbioRxivPreprint
Binary node clustering via contrastive learning for haplotype phasing in de novo genome assembly
Martin Schmitz, Leon Rauschning, Kenji Kawaguchi, Mile Šikić
This paper introduces grapHiC, a contrastive learning framework for reference-free haplotype phasing in de novo genome assembly, achieving results comparable to state-of-the-art methods.
DOI 10.64898/2026.07.17.739091