GSA:Genome Sequence Archive

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 

作者机构：BIG Data CenterBeijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China CAS Key Laboratory of Genome Sciences and InformationBeijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China University of Chinese Academy of SciencesBeijing 100049China Collaborative Innovation Center of Genetics and DevelopmentFudan UniversityShanghai 200438China Center of Alzheimer's DiseaseBeijing Institute for Brain DisordersBeijing 100053China 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2017年第15卷第1期

页      面：14-18页

核心收录：

学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 07[理学] 08[工学] 

基　　金：supported by grants from the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant Nos.XDB13040500 and XDA08020102) the National High-tech R&D Program(863 Program Grant Nos.2014AA021503 and 2015AA020108) the National Key Research Program of China(Grant Nos.2016YFC0901603,2016YFB0201702,2016YFC0901903,and 2016YFC0901701) the International Partnership Program of the Chinese Academy of Sciences(Grant No.153F11KYSB20160008) the Key Program of the Chinese Academy of Sciences(Grant No.KJZD-EW-L14) the Key Technology Talent Program of the Chinese Academy of Sciences(awarded to WZ) the 100 Talent Program of the Chinese Academy of Sciences(awarded to ZZ) 

主　　题：Genome Sequence Archive GSA Big data Raw sequence data INSDC 

摘      要：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.