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关于中国微生物组数据中心建设的思考
引用本文:马俊才,赵方庆,苏晓泉,徐健,吴林寰.关于中国微生物组数据中心建设的思考[J].中国科学院院刊,2017,32(3):290-296.
作者姓名:马俊才  赵方庆  苏晓泉  徐健  吴林寰
作者单位:中国科学院微生物研究所 北京 100101,中国科学院北京生命科学研究院 北京 100101,中国科学院青岛生物能源与过程研究所 青岛 266101,中国科学院青岛生物能源与过程研究所 青岛 266101,中国科学院微生物研究所 北京 100101
基金项目:国家“863”计划(2015AA020108)
摘    要:近年来,美国、欧盟都陆续启动了微生物组相关的研究项目。但微生物组大数据的收集、存储、功能挖掘和开发利用一直是制约微生物组发展的核心问题。文章分析了我国目前在微生物组数据管理中存在着标准不统一、缺乏跨领域的数据整合、高质量的参考数据库和数据的深度挖掘技术等问题,提出适时启动"中国微生物组"计划,建立中国微生物组数据中心,在微生物组数据标准化的基础上,建立微生物组大数据计算、存储和共享平台,开发微生物组大数据挖掘的新方法,实现我国微生物组数据资源的系统管理和高效利用。

关 键 词:微生物组  标准化  大数据  中国微生物组数据中心
收稿时间:2017/2/25 0:00:00

Strategies on Establishment of China's Microbiome Data Center
Ma Juncai,Zhao Fangqing,Su Xiaoquan,Xu Jian and Wu Linhuan.Strategies on Establishment of China's Microbiome Data Center[J].Bulletin of the Chinese Academy of Sciences,2017,32(3):290-296.
Authors:Ma Juncai  Zhao Fangqing  Su Xiaoquan  Xu Jian and Wu Linhuan
Institution:Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China,Beijing Institute of Life Sciences, Chinese Academy of Sciences, Beijing 100101, China,Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China,Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China and Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
Abstract:Microbiome is the total microbial community of certain environment. Microbiome is considered to play a crucial role on the nutrition metabolism, degradation of pollutant, maintain a balance of ecosystem of animal, plant and human beings although the fundamental mechanism is still unknown. The tremendous development of broad application of high throughput sequencing technology provides the possibility to comprehensive understanding of the composition and functions of microbiome from the view of whole genome sequencing. Microbiome has gradually become a research focus recently. The United States and EU launched national and international projects on microbiome. However, data management and high through-put data analysis still bottlenecks for microbiome research. This paper pointed out current problems for microbiome data management, including the standardization, cross-fields data integration, and high quality reference databases, summarized international microbiome projects and data platforms, and then analyzed current status and questions to be addressed by Chinese researches. Finally, the authors proposed suggestions and strategies for the development of Chinese microbiome data researches and the establishment of national data center.
Keywords:microbiome  standards  big data  China Microbiome Data Center
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