Nicolás GaitánJorge Duitama2026-03-222026-03-22202310.1093/gigascience/giad112https://doi.org/10.1093/gigascience/giad112https://andeanlibrary.org/handle/123456789/51622Citaciones: 3The results show that our approach outperformed state-of-the-art tools on germline SV calling and genotyping, especially at low depths, and in error-prone repetitive regions. We believe this work significantly contributes to the development of bioinformatic strategies to maximize the use of long-read sequencing technologies.enStructural variationCluster analysisGenotypingComputational biologyComputer scienceGenomicsAlgorithmBiologyGenomeData miningarticle