SwinePan for pig graph-based pangenome and multiomics data mining.
SwinePan uncovers 185,759 structural variants and integrates multiomics data across 2,598 pigs, enhancing genetic diversity analysis beyond linear references.
- Why it matters: Current pig genomics relies on single linear references, limiting the detection of structural variants and population-specific genetic traits, which hampers breeding and functional studies.
- What they did: The team built SwinePan, a graph-based pangenome database incorporating genomic, transcriptomic, and phenotypic data from diverse pig breeds, with tools for GWAS, eQTL, and visualization.
- The result: SwinePan enables precise identification of trait-associated loci and regulatory mechanisms, facilitating advanced pig genetics research and breeding strategies.