GSA:组学原始数据归档库

GSA: Genome Sequence Archive

生命科学的发展已进入组学大数据时代,然而我国至今尚未形成公共数据库存储体系。为弥补国内空白,组学原始数据归档库(Genome Sequence Archive, GSA, http://bigd.big.ac.cn/gsa)系统遵循国际核苷酸序列数据联盟(International Nucleotide Sequence Database Collaboration,INSDC)相关数据库建设标准,广泛收集各类生命组学原始数据。自2015年底上线运行以来,已获得了包括Cell、Nature、PNAS、GPB等30余个国内外期刊的认可,收录的数据量呈显著增长趋势,提供的数据服务受到国内外广大科研人员的认可。GSA有效缓解了当前我国生命组学数据汇交、存储与共享困难的问题,为我国国家生物信息中心的建设奠定了坚实基础。本文对目前GSA数据汇交、审核、发布与管理等机制进行了深入阐述,以方便用户了解GSA的各项功能,提供更高效的数据服务。

The Genome Sequence Archive(GSA),a new data repository for raw sequence reads in China,has been developed in compliance with the International Nucleotide Sequence Database Collaboration(INSDC)standards.It supports data generated from a variety of sequencing platforms ranging from Sanger sequencing to single-cell sequencing and provides data storing and sharing services freely for worldwide scientific communities.Since it went online in late 2015,GSA has archived more than 500 TB data and been acknowledged by many high-profile journals,including Cell,Nature,PNAS,GPB,etc.Focusing on omics data submission,storing and sharing typically for Chinese users,GSA promotes the initiative of the National Bioinformatics Center of China.This paper introduces the specifies of GSA as data collection,curation,management and exchange to facilitate users to understand and use GSA database.