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Plant genomic resources at National Genomics Data Center:assisting in data-driven breeding applications
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作者 Dongmei Tian Tianyi Xu +14 位作者 Hailong Kang Hong Luo Yanqing wang Meili Chen Rujiao Li Lina Ma zhonghuang wang Lili Hao Bixia Tang Dong Zou Jingfa Xiao Wenming Zhao Yiming Bao Zhang Zhang Shuhui Song 《aBIOTECH》 EI CAS CSCD 2024年第1期94-106,共13页
Genomic data serve as an invaluable resource for unraveling the intricacies of the higher plant systems,including the constituent elements within and among species.Through various efforts in genomic data archiving,int... Genomic data serve as an invaluable resource for unraveling the intricacies of the higher plant systems,including the constituent elements within and among species.Through various efforts in genomic data archiving,integrative analysis and value-added curation,the National Genomics Data Center(NGDC),which is a part of the China National Center for Bioinformation(CNCB),has successfully established and currently maintains a vast amount of database resources.This dedicated initiative of the NGDC facilitates a data-rich ecosystem that greatly strengthens and supports genomic research efforts.Here,we present a comprehensive overview of central repositories dedicated to archiving,presenting,and sharing plant omics data,introduce knowledgebases focused on variants or gene-based functional insights,highlight species-specific multiple omics database resources,and briefly review the online application tools.We intend that this review can be used as a guide map for plant researchers wishing to select effective data resources from the NGDC for their specific areas of study. 展开更多
关键词 Plant-omics data Data repositories Data integration KNOWLEDGEBASE Plant genomics
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OBIA:An Open Biomedical Imaging Archive
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作者 Enhui Jin Dongli Zhao +11 位作者 Gangao Wu Junwei Zhu zhonghuang wang Zhiyao Wei Sisi Zhang Anke wang Bixia Tang Xu Chen Yanling Sun Zhe Zhang Wenming Zhao Yuanguang Meng 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2023年第5期1059-1065,共7页
With the development of artificial intelligence(AI)technologies,biomedical imaging data play an important role in scientific research and clinical application,but the available resources are limited.Here we present Op... With the development of artificial intelligence(AI)technologies,biomedical imaging data play an important role in scientific research and clinical application,but the available resources are limited.Here we present Open Biomedical Imaging Archive(OBIA),a repository for archiving biomedical imaging and related clinical data.OBIA adopts five data objects(Collection,Individual,Study,Series,and Image)for data organization,and accepts the submission of biomedical images of multiple modalities,organs,and diseases.In order to protect personal privacy,OBIA has formulated a unified de-identification and quality control process.In addition,OBIA provides friendly and intuitive web interfaces for data submission,browsing,and retrieval,as well as image retrieval.As of September 2023,OBIA has housed data for a total of 937 individuals,4136 studies,24,701 series,and 1,938,309 images covering 9 modalities and 30 anatomical sites.Collectively,OBIA provides a reliable platform for biomedical imaging data management and offers free open access to all publicly available data to support research activities throughout the world.OBIA can be accessed at https://ngdc.cncb.ac.cn/obia. 展开更多
关键词 Open Biomedical Imaging Archive DATABASE Biomedical imaging De-identification Quality control
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