Huang Mingjiang, Sun Jiahe, Wang Jian, Ye Xiaoli, Chen Zhuping, Zhao Xianzhi, Zhang Keshan, Ma Lin, Xue Jiajia, Luo Yi, Wu Xianwen, Wang Haiwei, Wang Chao, Liu Zuohua, Xie Youhui, Chen Ying, Wang Qigui, Wang Yi, Gao Guangliang
Southwest University, Chongqing, 402460, PR China.
Jiangsu Agri-animal Husbandry Vocational College, Taizhou, Jiangsu 225300, PR China.
Poult Sci. 2025 Mar;104(3):104842. doi: 10.1016/j.psj.2025.104842. Epub 2025 Jan 23.
Multi-omics has helped elucidate the gene expression patterns and genomic variations closely associated with economically significant traits in geese. Despite the substantial genomic data generated through extensive goose studies, a unified platform for integrating these datasets is lacking. To address this gap, we introduced the Goose Multi-omics Database (GMD), which is accessible at http://goosedb.com/. The GMD is a comprehensive resource enabling streamlined search, analysis, and visualization of genetic information through a unified interface, providing insights into phenotypic traits, gene sequences, structures, expression profiles, genomic variations, gene families, homology, and collinearity. Equipped with robust analytical tools such as GBrowse and BLAST, the GMD facilitates rapid access to target gene information, significantly enhancing the efficiency and productivity of genomic research. By serving as a versatile and intuitive online repository, the GMD offers transformative potential for advancing goose biology, fostering multi-omics investigations, and integrating cutting-edge methodologies such as deep learning to accelerate discoveries in goose genomics.
多组学技术有助于阐明与鹅的经济重要性状密切相关的基因表达模式和基因组变异。尽管通过广泛的鹅研究产生了大量的基因组数据,但缺乏一个整合这些数据集的统一平台。为了填补这一空白,我们推出了鹅多组学数据库(GMD),可通过http://goosedb.com/访问。GMD是一个综合资源库,能够通过统一界面实现对遗传信息的简化搜索、分析和可视化,提供有关表型性状、基因序列、结构、表达谱、基因组变异、基因家族、同源性和共线性的见解。配备了GBrowse和BLAST等强大的分析工具,GMD便于快速获取目标基因信息,显著提高了基因组研究的效率和生产力。作为一个通用且直观的在线知识库,GMD为推进鹅生物学研究、促进多组学研究以及整合深度学习等前沿方法以加速鹅基因组学发现提供了变革性潜力。