A dual-reference modality to effectively enhance the accuracy of genotyping structural variants from short-read sequencing
SVLearn is a machine learning-based SV genotyper leveraging dual-reference genomes to boost read mapping and accuracy. It improves genotyping precision in insertions, performs well at low coverage, and generalizes across species for scalable, cross-species SV analysis.
