The pig (
Sus scrofa) is an important model for evolutionary, comparative, and translational research. However, current functional genomic resources in pigs remain largely limited to 1D annotation and are therefore insufficient for systematically resolving regulatory region–gene relationships, particularly distal ones. Here, we present Pig Matrix, a comprehensive 3D regulatory genomics database for pigs, available at
https://pigmatrix.kiz.ac.cn/. Built on a standardized experimental framework, Pig Matrix integrates matched multi-omics datasets across tissues, developmental stages, and porcine cell lines, including genomic, transcriptomic, epigenomic, and 3D genome information. In total, it contains 16 library types across 7 omics layers and 7,959 processed files from 1,170 libraries. By integrating epigenomic and 3D genome information, Pig Matrix links cis-regulatory elements to putative proximal and distal target genes, thereby facilitating interpretation of non-coding variants and genomic signals. The database provides modules for genes, candidate cis-regulatory elements, 3D genome architecture, genome browsing, and single-cell transcriptomics, together with dedicated Evolution and Comparative resources and user-oriented Genome Annotation and LiftOver tools. A representative use case illustrates how 3D regulatory annotation extends interpretation beyond linear annotation alone, recovering additional candidate genes in domestication-related signals, notably including the classical domestication gene
KIT. Pig Matrix also incorporates xenotransplantation-relevant resources as a translational extension and, through its matched cross-modal design, provides a benchmark-ready framework for evaluating cross-species generalization and missing-modality prediction in AI models for regulatory genomics.