A sequence-aware merger of genomic structural variations at population scale
Abstract Merging structural variations (SVs) at the population Sofa level presents a significant challenge, yet it is essential for conducting comprehensive genotypic analyses, especially in the era of pangenomics.Here, we introduce PanPop, a tool that utilizes an advanced sequence-aware SV merging algorithm to efficiently merge SVs of various type