title: HRGD: a database for mining potential heterosis-related genes in plants.
abstract: Heterosis-Related Gene Database (HRGD) is designed to manage the output of comparative transcriptomic studies related to heterosis (or hybrid vigor) among major agricultural crops, providing publicly available query and analysis platform for practical data mining. The database contains information concerning over 5,000 differentially expressed genes (DEGs) among the hybrid-parent tissue panels from rice genomes generated in our institute and other genomes of major cereal crops collected from published literatures. We have annotated relevant genes from manually extracted information includes not only gene sequences, genomic structures, and functional annotations but also empirical expression data generated based on various large-scale genomic methods. Tools for visualization and functional analysis of DEGs from various hybrid-parent tissue panels are also integrated via a user-friendly web interface. HRGD is a useful tool for helping plant biologists and crop breeders to explore biological knowledge that is being generated on a daily basis and in a large scale. The HRGD data resource is publicly available at http://hrgd.genomics.org.cn/ .
authors.affiliation: Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 101300, China. songsh@genomics.org.cn
authors.forename: Shuhui
authors.initials: S
authors.lastname: Song
authors.forename: Yuefeng
authors.initials: Y
authors.lastname: Huang
authors.forename: Xuan
authors.initials: X
authors.lastname: Wang
authors.forename: Gang
authors.initials: G
authors.lastname: Wei
authors.forename: Hongzhu
authors.initials: H
authors.lastname: Qu
authors.forename: Weiwei
authors.initials: W
authors.lastname: Wang
authors.forename: Xiaomeng
authors.initials: X
authors.lastname: Ge
authors.forename: Songnian
authors.initials: S
authors.lastname: Hu
authors.forename: Guozhen
authors.initials: G
authors.lastname: Liu
authors.forename: Yanchun
authors.initials: Y
authors.lastname: Liang
authors.forename: Jun
authors.initials: J
authors.lastname: Yu
mesh_terms: D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods; D006823:Hybrid Vigor / Q000235:genetics*; D012984:Software; D014584:User-Computer Interface