As one of the most important crops to supply majority plant oil and protein for the whole world, soybean is facing an increasing global demand. Up to now, vast multi-omics data of soybean were generated, thereby providing valuable resources for functional study and molecular breeding. Nevertheless, it is tremendously challenging for researchers to deal with these big multi-omics data, particularly considering the unprecedented rate of data growth. Therefore, we collect the reported high-quality omics, including assembly genomes, graph pan-genome, resequencing and phenotypic data of representative germplasms, transcriptomic and epigenomic data from different tissues, organs and accessions, and construct an integrated soybean multi-omics database, named SoyOmics (https://ngdc.cncb.ac.cn/soyomics). By equipping with multiple analysis modules and toolkits, SoyOmics is of great utility to facilitate the global scientific community to fully use these big omics datasets for a wide range of soybean studies from fundamental functional investigation to molecular breeding.

As one of the most important crops to supply majority plant oil and protein for the whole world, soybean is facing an increasing global demand. Up to now, vast multi-omics data of soybean were generated, thereby providing valuable resources for functional study and molecular breeding. Nevertheless, it is tremendously challenging for researchers to deal with these big multi-omics data, particularly considering the unprecedented rate of data growth. Therefore, we collect the reported high-quality omics, including assembly genomes, graph pan-genome, resequencing and phenotypic data of representative germplasms, transcriptomic and epigenomic data from different tissues, organs and accessions, and construct an integrated soybean multi-omics database, named SoyOmics (https://ngdc.cncb.ac.cn/soyomics). By equipping with multiple analysis modules and toolkits, SoyOmics is of great utility to facilitate the global scientific community to fully use these big omics datasets for a wide range of soybean studies from fundamental functional investigation to molecular breeding.

As one of the most important crops to supply majority plant oil and protein for the whole world, soybean is facing an increasing global demand. Up to now, vast multi-omics data of soybean were generated, thereby providing valuable resources for functional study and molecular breeding. Nevertheless, it is tremendously challenging for researchers to deal with these big multi-omics data, particularly considering the unprecedented rate of data growth. Therefore, we collect the reported high-quality omics, including assembly genomes, graph pan-genome, resequencing and phenotypic data of representative germplasms, transcriptomic and epigenomic data from different tissues, organs and accessions, and construct an integrated soybean multi-omics database, named SoyOmics (https://ngdc.cncb.ac.cn/soyomics). By equipping with multiple analysis modules and toolkits, SoyOmics is of great utility to facilitate the global scientific community to fully use these big omics datasets for a wide range of soybean studies from fundamental functional investigation to molecular breeding.