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

• 领域前瞻 • 上一篇    下一篇

前沿信息技术在生物医学大数据中的应用及展望

郑广勇1(), 曾涛1, 李亦学1,2,3,4()   

  1. 1. 中国科学院上海营养与健康研究所,中国科学院计算生物学重点实验室,生物医学大数据中心,上海 200031
    2. 广州国家实验室,广州 510320
    3. 国科大杭州高等研究院,中国科学院大学,杭州 310013
    4. 复旦大学遗传与发育协同创新中心,上海 200438
  • 收稿日期:2021-05-31 修回日期:2021-09-16 出版日期:2021-10-20 发布日期:2021-10-26
  • 通讯作者: 李亦学 E-mail:gyzheng@picb.ac.cn;yxli@sibs.ac.cn
  • 作者简介:郑广勇,副研究员,研究方向:生物信息学。E-mail: gyzheng@picb.ac.cn
  • 基金资助:
    中国科学院战略性先导科技专项课题资助编号(XDB38050200)

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

Zheng Guangyong1(), Zeng Tao1, Li Yixue1,2,3,4()   

  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)

摘要:

近年来,随着以高通量组学检测技术为代表的生物技术(biological technology, BT)的发展,生物医学研究领域开始进入大数据时代。面对高维度、跨层次、多模态生物医学大数据,科学研究需要数据密集型科研新范式。云计算、区块链、人工智能等前沿信息技术(information technology, IT)的蓬勃发展为这种新型研究范式的实践提供了技术手段。本文对云计算、区块链、人工智能等前沿信息技术在生物医学大数据中的应用进行了描述,并对数据密集型科研新范式支撑环境的构建提出了前瞻展望,以期建立融合BT&IT 技术的新型研究方案和科研新范式,最终推动生物医学研究跨越式发展。

关键词: 组学, 云计算, 区块链, 人工智能, 数据密集型科研新范式

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