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    图片显示不正确 GSA
    图片显示不正确 visits:158 图片显示不正确 图片显示不正确GSA

    图片显示不正确What's it?

    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.

    图片显示不正确Link

    图片显示不正确https://ngdc.cncb.ac.cn/gsa/

    图片显示不正确How to use it?

    1) Register the account through the BigSub (it is recommended to register by using the public mailbox of the laboratory); 2) Create projects in Bioproject; 3) When the number of samples is less than 10, online submission of sample metadata is used. When the number of samples is more than 10, offline mode can be used to import sample metadata in batch; 4) Complete the corresponding Experiment and Run information entry; 5) Select the data type, MD5 value and upload the data though FTP.

    图片显示不正确Institute

    BEIJING INSTITUTE OF GENOMICS (中国科学院北京基因组研究所)

    图片显示不正确Author

    Yanqing Wang (王彦青), Fuhai Song (), Junwei Zhu (朱军伟), Sisi Zhang (张思思), YadongYang ()

    图片显示不正确Support

    gsa@big.ac.cn

    图片显示不正确Publication

    Genomics Proteomics Bioinformatics, 2017, 15(1):14-18

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    图片显示不正确Funding source

    [{"id":"Strategic Priority Research Program of the Chinese Academy of Sciences (Grant Nos. XDB13040500 and XDA08020102)","name":"Strategic Priority Research Program of the Chinese Academy of Sciences (Grant Nos. XDB13040500 and XDA08020102)"}]