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文献详情 >BjuIR:A multi-omics database w... 收藏

BjuIR:A multi-omics database with various tools for accelerating functional genomics research in Brassica juncea

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 

作者机构:National Key Laboratory for Germplasm Innovation and Utilization of Horticultural CropsCollege of InformaticsHuazhong Agricultural UniversityWuhan 430070China Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big DataCollege of InformaticsHuazhong Agricultural UniversityWuhan 430070China National Key Laboratory of Crop Genetic ImprovementHubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhan 430070China Yazhouwan National LaboratorySanya 572025China National Key Laboratory for Germplasm Innovation and Utilization of Horticultural CropsCollege of Horticulture and Forestry SciencesHuazhong Agricultural UniversityWuhan 430070China Crop Research InstituteHunan Academy of Agricultural SciencesChangsha 410125China College of AgronomyHunan Agricultural UniversityChangsha 410128China 

出 版 物:《Plant Communications》 (植物通讯(英文))

年 卷 期:2024年第5卷第8期

页      面:96-99页

核心收录:

学科分类:0710[理学-生物学] 071001[理学-植物学] 07[理学] 

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) 

主  题:functional integrating convenient 

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 *** 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).

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