CNSA


32705130	CNSA: a data repository for archiving omics data. [PMID: 32705130] Xueqin Guo, Fengzhen Chen, Fei Gao, Ling Li, Ke Liu, Lijin You, Cong Hua, Fan Yang, Wanliang Liu, Chunhua Peng, Lina Wang, Xiaoxia Yang, Feiyu Zhou, Jiawei Tong, Jia Cai, Zhiyong Li, Bo Wan, Lei Zhang, Tao Yang, Minwen Zhang, Linlin Yang, Yawen Yang, Wenjun Zeng, Bo Wang, Xiaofeng Wei, Xun Xu Abstract 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. Database URL: https://db.cngb.org/cnsa/. Database (Oxford). 2020:2020() \| 202 Citations (from Europe PMC, 2025-03-22)

CNSA: a data repository for archiving omics data. [PMID: 32705130]

Xueqin Guo, Fengzhen Chen, Fei Gao, Ling Li, Ke Liu, Lijin You, Cong Hua, Fan Yang, Wanliang Liu, Chunhua Peng, Lina Wang, Xiaoxia Yang, Feiyu Zhou, Jiawei Tong, Jia Cai, Zhiyong Li, Bo Wan, Lei Zhang, Tao Yang, Minwen Zhang, Linlin Yang, Yawen Yang, Wenjun Zeng, Bo Wang, Xiaofeng Wei, Xun Xu

Abstract

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. Database URL: https://db.cngb.org/cnsa/.

Database (Oxford). 2020:2020() | 202 Citations (from Europe PMC, 2025-03-22)

URL:	https://db.cngb.org/cnsa
Full name:	China National GeneBank
Description:	CNGB Sequence Archive (CNSA) is a system for archiving global omics data, dedicated to the storage, management and sharing of omics data, promotes the reuse of omics data and the development of life sciences.
Year founded:	2020
Last update:
Version:
Accessibility:	Accessible
Country/Region:	China

Data type:	DNA Protein RNA
Data object:	Animal Archaea Bacteria Fungi Plant Virus
Database category:	Metadata Raw bio-data
Major species:	Homo sapiens Severe acute respiratory syndrome coronavirus 2
Keywords:	data repository omics data

University/Institution:	China National GeneBank
Address:	China National GeneBank, Shenzhen 518120, China.hu
City:	Shenzhen
Province/State:	Guangdong
Country/Region:	China
Contact name (PI/Team):	Xuxun
Contact email (PI/Helpdesk):	xuxun@genomics.cn

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Database Commons a catalog of worldwide biological databases