GWAS meta-analysis using a graph-based pan-genome enhanced gene mining efficiency for agronomic traits in rice
利用基于图的泛基因组进行全基因组关联分析（GWAS）荟萃分析，可提高水稻农艺性状基因挖掘效率。
期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-025-58081-1
Yang, Longbo; He, Wenchuang; Zhu, Yiwang; Lv, Yang; Li, Yilin; Zhang, Qianqian; Liu, Yifan; Zhang, Zhiyuan; Wang, Tianyi; Wei, Hua; Cao, Xinglan; Cui, Yan; Zhang, Bin; Chen, Wu; He, Huiying; Wang, Xianmeng; Chen, Dandan; Liu, Congcong; Shi, Chuanlin; Liu, Xiangpei; Xu, Qiang; Yuan, Qiaoling; Yu, Xiaoman; Qian, Hongge; Li, Xiaoxia; Zhang, Bintao; Zhang, Hong; Leng, Yue; Zhang, Zhipeng; Dai, Xiaofan; Guo, Mingliang; Jia, Juqing; Qian, Qian; Shang, Lianguang
