SoyOmics: A deeply integrated database on soybean multi omics
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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.02.05.527102v1?rss=1

Authors: Liu, Y., Zhang, Y., Liu, X., Shen, Y., Tian, D., Yang, X., Liu, S., Ni, L., Zhang, Z., Song, S., Tian, Z.

Abstract: 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.

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