CNSA: a data repository for archiving omics data

被引：286

作者：

Guo, Xueqin ^{[1
]}

Chen, Fengzhen ^{[1
]}

Gao, Fei ^{[1
]}

Li, Ling ^{[1
]}

Liu, Ke ^{[1
]}

You, Lijin ^{[1
]}

Hua, Cong ^{[1
]}

Yang, Fan ^{[1
]}

Liu, Wanliang ^{[1
]}

Peng, Chunhua ^{[1
]}

Wang, Lina ^{[1
]}

Yang, Xiaoxia ^{[1
]}

Zhou, Feiyu ^{[1
]}

Tong, Jiawei ^{[1
]}

Cai, Jia ^{[1
]}

Li, Zhiyong ^{[1
]}

Wan, Bo ^{[1
]}

Zhang, Lei ^{[1
]}

Yang, Tao ^{[1
]}

Zhang, Minwen ^{[1
]}

Yang, Linlin ^{[1
]}

Yang, Yawen ^{[1
]}

Zeng, Wenjun ^{[1
]}

Wang, Bo ^{[1
]}

Wei, Xiaofeng ^{[1
]}

Xu, Xun ^{[1
,2
,3
]}

机构：

[1] China Natl GeneBank, Shenzhen 518120, Peoples R China

[2] BGI Shenzhen, Shenzhen 518083, Peoples R China

[3] Guangdong Prov Key Lab Genome Read & Write, Shenzhen 518120, Peoples R China

来源：

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | 2020年

关键词：

GENOMES;

D O I：

10.1093/database/baaa055

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

With the application and development of high-throughput sequencing technology in life and health sciences, massive multi-omics data brings the problem of efficient management and utilization. Database development and biocuration are the prerequisites for the reuse of these big data. Here, relying on China National GeneBank (CNGB), we present CNGB Sequence Archive (CNSA) for archiving omics data, including raw sequencing data and its further analyzed results which are organized into six objects, namely Project, Sample, Experiment, Run, Assembly and Variation at present. Moreover, CNSA has created a correlation model of living samples, sample information and analytical data on some projects. Both living samples and analytical data are directly correlated with the sample information. From either one, information or data of the other two can be obtained, so that all data can be traced throughout the life cycle from the living sample to the sample information to the analytical data. Complying with the data standards commonly used in the life sciences, CNSA is committed to building a comprehensive and curated data repository for storing, managing and sharing of omics data. We will continue to improve the data standards and provide free access to open-data resources for worldwide scientific communities to support academic research and the bio-industry.

引用

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