期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
GSA-Human:人类遗传资源数据管理的公共系统 被引量:10
1
作者 张思思 陈旭 +16 位作者 陈婷婷 朱军伟 唐碧霞 王安可 董丽莉 张哲文 孙艳玲 俞彩霞 翟爽 孙玉彬 陈焕新 杜政霖 肖景发 章张 鲍一明 王彦青 赵文明 《遗传》 CAS CSCD 北大核心 2021年第10期988-993,共6页
GSA-Human是人类遗传资源数据汇交、存储、管理与共享的数据库系统,可提供人类遗传资源数据的上传、下载、浏览、检索等公共服务,并有效支撑了国家重点研发计划科技项目数据的汇交与管理工作。系统具有符合《中华人民共和国人类遗传资... GSA-Human是人类遗传资源数据汇交、存储、管理与共享的数据库系统,可提供人类遗传资源数据的上传、下载、浏览、检索等公共服务,并有效支撑了国家重点研发计划科技项目数据的汇交与管理工作。系统具有符合《中华人民共和国人类遗传资源管理条例》数据安全管理策略,提供公开访问和受控访问相结合的数据使用模式。公开访问数据允许用户自由下载与获取;受控访问数据采用申请-审核的模式,即需要通过数据管理委员会(Data Access Committee,DAC)的授权方可获得下载和使用权限。系统自上线以来,截至2021年7月,汇集数据总量已超5.27 PB。 展开更多
关键词 人类遗传资源数据管理系统 组学数据 数据汇交 数据共享
下载PDF
OBIA:An Open Biomedical Imaging Archive
2
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
原文传递
The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types 被引量:84
3
作者 Tingting Chen Xu Chen +18 位作者 Sisi Zhang Junwei Zhu Bixia Tang anke wang Lili Dong Zhewen Zhang Caixia Yu Yanling Sun Lianjiang Chi Huanxin Chen Shuang Zhai Yubin Sun Li Lan Xin Zhang Jingfa Xiao Yiming Bao Yanqing wang Zhang Zhang Wenming Zhao 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2021年第4期578-583,共6页
The Genome Sequence Archive(GSA)is a data repository for archiving raw sequence data,which provides data storage and sharing services for worldwide scientific communities.Considering explosive data growth with diverse... The Genome Sequence Archive(GSA)is a data repository for archiving raw sequence data,which provides data storage and sharing services for worldwide scientific communities.Considering explosive data growth with diverse data types,here we present the GSA family by expanding into a set of resources for raw data archive with different purposes,namely,GSA(https://ngdc.cncb.ac.cn/gsa/),GSA for Human(GSA-Human,https://ngdc.cncb.ac.cn/gsa-human/),and Open Archive for Miscellaneous Data(OMIX,https://ngdc.cncb.ac.cn/omix/).Compared with the 2017 version,GSA has been significantly updated in data model,online functionalities,and web interfaces.GSA-Human,as a new partner of GSA,is a data repository specialized in human genetics-related data with controlled access and security.OMIX,as a critical complement to the two resources mentioned above,is an open archive for miscellaneous data.Together,all these resources form a family of resources dedicated to archiving explosive data with diverse types,accepting data submissions from all over the world,and providing free open access to all publicly available data in support of worldwide research activities. 展开更多
关键词 Genome Sequence Archive GSA GSA-Human OMIX
原文传递
The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR 被引量:14
4
作者 Shuhui Song Lina Ma +27 位作者 Dong Zou Dongmei Tian Cuiping Li Junwei Zhu Meili Chen anke wang Yingke Ma Mengwei Li Xufei Teng Ying Cui Guangya Duan Mochen Zhang Tong Jin Chengmin Shi Zhenglin Du Yadong Zhang Chuandong Liu Rujiao Li Jingyao Zeng Lili Hao Shuai Jiang Hua Chen Dali Han Jingfa Xiao Zhang Zhang Wenming Zhao Yongbiao Xue Yiming Bao 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2020年第6期749-759,共11页
On January 22,2020,China National Center for Bioinformation(CNCB)released the 2019 Novel Coronavirus Resource(2019nCoVR),an open-access information resource for the severe acute respiratory syndrome coronavirus 2(SARS... On January 22,2020,China National Center for Bioinformation(CNCB)released the 2019 Novel Coronavirus Resource(2019nCoVR),an open-access information resource for the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).2019nCoVR features a comprehensive integration of sequence and clinical information for all publicly available SARS-CoV-2 isolates,which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline.Of particular note,2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale.It provides all identified variants and their detailed statistics for each virus isolate,and congregates the quality score,functional annotation,and population frequency for each variant.Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available.Moreover,2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019(COVID-19),including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC.Furthermore,by linking with relevant databases in CNCB,2019nCoVR offers data submission services for raw sequence reads and assembled genomes,and data sharing with NCBI.Collectively,SARS-CoV-2 is updated daily to collect the latest information on genome sequences,variants,haplotypes,and literature for a timely reflection,making 2019nCoVR a valuable resource for the global research community.2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/. 展开更多
关键词 2019nCoVR SARS-CoV-2 DATABASE Genomic variation HAPLOTYPE
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部