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Hereditas(Beijing) ›› 2021, Vol. 43 ›› Issue (10): 924-929.doi: 10.16288/j.yczz21-192

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Application and prospect of cutting-edge information technology in biomedical big data

Guangyong Zheng1(), Tao Zeng1, Yixue Li1,2,3,4()   

  1. 1. CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
    2. Guangzhou Laboratory, Guangzhou 510320, China
    3. Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310013, China
    4. Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 200438, China
  • Received:2021-05-31 Revised:2021-09-16 Online:2021-10-20 Published:2021-10-26
  • Contact: Li Yixue E-mail:gyzheng@picb.ac.cn;yxli@sibs.ac.cn
  • Supported by:
    Surpported by the Strategic Priority Research Program of Chinese Academy of Sciences No(XDB38050200)

Abstract:

In recent years, with the development of various high-throughput omics based biological technologies (BT), biomedical research began to enter the era of big data. In the face of high-dimensional, multi-domain and multi-modal biomedical big data, scientific research requires a new paradigm of data intensive scientific research. The vigorous development of cutting-edge information technologies (IT) such as cloud computing, blockchain and artificial intelligence provides technical means for the practice of this new research paradigm. Here,we describe the application of such cutting-edge information technologies in biomedical big data, and propose a forward-looking prospect for the construction of a new paradigm supporting environment for data intensive scientific research. We expect to establish a new research scheme and new scientific research paradigm integrating BT & IT technology, which can finally promote the great leap forward development of biomedical research.

Key words: omics, cloud computing, blockchain, artificial intelligence, new paradigm of data intensive scientific research