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The genome sequence archive Family: Toward Explosive Data Growth and Diverse Data Types

Genomics, Proteomics & Bioinformatics 2021年第4期19卷 578-583页

作者： Tingting Chen Xu Chen 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 China National Center for Bioinformation Beijing 100101China National Genomics Data Center Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China CAS Key Laboratory of genome Sciences and Information Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

The genome sequence archive(GSA)is a data repository for archiving raw sequence data,which provides data storage and sharing services for worldwide scientific *** 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://***/gsa/),GSA for Human(GSA-Human,https://***/gsa-human/),and Open archive for Miscellaneous Data(OMIX,https://***/omix/).Compared with the 2017 version,GSA has been significantly updated in data model,online functionalities,and web ***-Human,as a new partner of GSA,is a data repository specialized in human genetics-related data with controlled access and ***,as a critical complement to the two resources mentioned above,is an open archive for miscellaneous ***,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.

关键词： genome sequence archive GSA GSA-Human OMIX

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GSA:genome sequence archive

引用

Genomics, Proteomics & Bioinformatics 2017年第1期15卷 14-18页

作者： Yanqing Wang Fuhai Song Junwei Zhu Sisi Zhang Yadong Yang Tingting Chen Bixia Tang Lili Dong Nan Ding Qian Zhang Zhouxian Bai Xunong Dong Huanxin Chen Mingyuan Sun Shuang Zhai Yubin Sun Lei Yu Li Lan Jingfa Xiao Xiangdong Fang Hongxing Lei Zhang Zhang Wenming Zhao BIG Data Center Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China CAS Key Laboratory of genome Sciences and Information Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Collaborative Innovation Center of Genetics and Development Fudan UniversityShanghai 200438China Center of Alzheimer's Disease Beijing Institute for Brain DisordersBeijing 100053China

With the rapid development of sequencing technologies towards higher throughput and lower cost, sequence data are generated at an unprecedentedly explosive rate. To provide an efficient and easy-to-use platform for managing huge sequence data, here we present genome sequence archive （GSA; http：//***/gsa or http：//***）, a data repository for archiving raw sequence data. In compliance with data standards and structures of the International Nucleotide sequence Database Collaboration （INSDC）, GSA adopts four data objects （BioProject, BioSample, Experiment, and Run） for data organization, accepts raw sequence reads produced by a variety of sequencing platforms, stores both sequence reads and metadata submitted from all over the world, and makes all these data publicly available to worldwide scientific communities. In the era of big data, GSA is not only an important complement to existing INSDC members by alleviating the increasing burdens of handling sequence data deluge, but also takes the significant responsibility for global big data archive and provides free unrestricted access to all publicly available data in support of research activities throughout the world.

关键词： genome sequence archive GSA Big data Raw sequence data INSDC

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