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Hereditas(Beijing) ›› 2018, Vol. 40 ›› Issue (11): 1039-1043.doi: 10.16288/j.yczz.18-190

• Orginal Article • Previous Articles     Next Articles

The BIG Data Center’s database resources

Yuansheng Zhang1,2,3,Lin Xia1,2,3,Jian Sang1,2,3,Man Li1,2,3,Lin Liu1,2,3,Mengwei Li1,2,3,Guangyi Niu1,2,3,Jiabao Cao1,2,3,Xufei Teng1,2,3,Qing Zhou1,2,3,Zhang Zhang1,2,3()   

  1. 1. BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
    2. CAS Key Laboratory of Genomics and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2018-07-05 Revised:2018-09-12 Online:2018-11-20 Published:2018-09-18
  • Contact: Zhang Zhang E-mail:zhangzhang@big.ac.cn
  • Supported by:
    Supported by Strategic Priority Research Program of the Chinese Academy of Sciences(XDA19050302);Supported by Strategic Priority Research Program of the Chinese Academy of Sciences(XDB13040500);Supported by Strategic Priority Research Program of the Chinese Academy of Sciences(XDA08020102);the National Key Research & Development Program of China(2016YFC0901603);the 13th Five-year Informatization Plan of Chinese Academy of Sciences(XXH13505-05)

Abstract:

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.

Key words: big data, omics, data sharing, data resource, bioinformatics