Wang Y; Song F; Zhu J; Zhang S; Yang Y; Chen T; Tang B; Dong L; Ding N; Zhang Q; Bai Z; Dong X; Chen H; Sun M; Zhai S; Sun Y; Yu L; Lan L; Xiao J; Fang X; Lei H; Zhang Z; Zhao W
Genomics Proteomics Bioinformatics 2017[Feb]; 15 (1): 14-8 PMID28387199show ga
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://bigd.big.ac.cn/gsa or http://gsa.big.ac.cn), 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.
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Genomics+Proteomics+Bioinformatics 2017 ; 15 (1): 14-8
