BnIR: A multi-omics database with various tools for Brassica napus research and breeding.

In the post-genome-wide association study era, multi-omics techniques have shown great power and potential for candidate gene mining and functional genomics research. However, due to the lack of effective data integration and multi-omics analysis platforms, such techniques have not still been applied widely in rapeseed, an important oil crop worldwide. Here, we report a rapeseed multi-omics database (BnIR; http://yanglab.hzau.edu.cn/BnIR), which provides datasets of six omics including genomics, transcriptomics, variomics, epigenetics, phenomics, and metabolomics, as well as numerous "variation–gene expression–phenotype" associations by using multiple statistical methods. In addition, a series of multi-omics search and analysis tools are integrated to facilitate the browsing and application of these datasets. BnIR is the most comprehensive multi-omics database for rapeseed so far, and two case studies demonstrated its power to mine candidate genes associated with specific traits and analyze their potential regulatory mechanisms. BnIR (http://yanglab.hzau.edu.cn/BnIR), a multi-omics database for rapeseed, is constructed in this work, which integrates six omics datasets and "variation–gene expression–phenotype" associations. The database is equipped with a range of multi-omics tools for streamlined browsing and analysis. Through several case studies, BnIR's potential in identifying candidate genes associated with specific traits are demonstrated. [ABSTRACT FROM AUTHOR]