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作 者:Linna Zhang Jinyuan Xiao Congyuan Liang Yifan Chen Changchun Yu Xinle Zhao Jiawei Li Mingli Yan Qian Yang Hao Chen Zhongsong Liu Zhengjie Wan Zhiquan Yang Qing-Yong Yang
机构地区:[1]National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops,College of Informatics,Huazhong Agricultural University,Wuhan 430070,China [2]Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data,College of Informatics,Huazhong Agricultural University,Wuhan 430070,China [3]National Key Laboratory of Crop Genetic Improvement,Hubei Hongshan Laboratory,Huazhong Agricultural University,Wuhan 430070,China [4]Yazhouwan National Laboratory,Sanya 572025,China [5]National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops,College of Horticulture and Forestry Sciences,Huazhong Agricultural University,Wuhan 430070,China [6]Crop Research Institute,Hunan Academy of Agricultural Sciences,Changsha 410125,China [7]College of Agronomy,Hunan Agricultural University,Changsha 410128,China
出 处:《Plant Communications》2024年第8期96-99,共4页植物通讯(英文)
基 金:supported by the National Natural Science Foundation of China(32072573,31872096,32322061,and 32070559);the National Key Research and Development Plan of China(2021YFF1000100,2023YFD1200102-03);the Fundamental Research Funds for the Central University HZAU(2662023XXPY001);the Developing Bioinformatics Platform in Hainan Yazhou Bay Seed Lab(no.JBGS-B21HJ0001)。
摘 要:Dear Editor,Advances in high-throughput omics technologies,along with methodologies for integrating multi-omics datasets,have substantially enhanced the efficiency of identifying candidate genes in breeding(Gusev et al.,2018;Gupta et al.,2019).However,this process is often complex and laborious.To address this challenge,databases that integrate extensive data and enable convenient and efficient functional genomics studies are being developed(Ma et al.,2021;Yang et al.,2023).
关 键 词:functional integrating CONVENIENT
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