大数据
数据管理
数据共享
数据科学
数据仓库
北京
计算机科学
知识管理
中国
数据库
政治学
医学
数据挖掘
病理
法学
替代医学
作者
Yuan Sheng Zhang,Lin Xia,Jian Sang,Man Li,Lin Liu,Meng Wei Li,Guang Yi Niu,Jia Bao Cao,Xu Fei Teng,Qing Zhou,Zhang Zhang
出处
期刊:PubMed
日期:2018-11-20
卷期号:40 (11): 1039-1043
被引量:3
标识
DOI:10.16288/j.yczz.18-190
摘要
Omics data in life and health sciences are of fundamental significance for scientific research and biomedical technology development. However, there is yet to be a platform for biological data management and sharing in China, making it difficult to meet the development needs of biomedical and related fields and consequently leading to severe issues in big data management, sharing and translation. To address these issues, Beijing Institute of Genomics (BIG) of Chinese Academy of Sciences founded the BIG Data Center (BIGD) in 2016, which is dedicated to establish a biological big data management platform and multi-omics databases, with a particular focus on national population healthcare and important strategic biological resources. In this paper, we describe core database resources in BIGD, including GSA (Genome Sequence Archive), GWH (Genome Warehouse), GVM (Genome Variation Map), GEN (Gene Expression Nebulas), MethBank (Methylation Bank), BioCode and Science Wikis. Taken together, all these resources provide a series of services for data deposition, integration and sharing, laying solid foundations for enhancing national biological science data management and further promoting the construction of national bioinformatics center.
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