大数据思维及其在生物医学领域的应用  

Big Data Thinking and Its Biomedical Application

作　　者：赵晓娟 朱子清 李奇奇 杨进 Zhao Xiaojuan;Zhu Ziqing;Li Qiqi;Yang Jin(Medical Research Institute of Preventive Genome, College of Life Science, Northwest University, Xi＇an, 710069)

机构地区：[1]西北大学生命科学学院预防基因组医学研究所

出　　处：《基因组学与应用生物学》2018年第5期2139-2143,共5页Genomics and Applied Biology

基　　金：国家自然科学基金(81272707)资助

摘　　要：随着大数据时代的来临,大数据思维也逐渐兴起。大数据的特点可以用4V来总结：volume（大量化）、variety（多样化）、velocity（快速化）及value（价值）。大数据思维的特点可以总结为整体性、容错性、相关性和智能性,这些特点也是大数据思维与小数据思维的主要区别。大数据思维在生物医学领域的应用越来越多,最普遍常用的就是NCBI数据库,在NCBI数据库中挖掘有价值信息的过程本身就是大数据思维,还有Meta分析和TCGA数据库的兴起都说明了大数据思维在生物医学领域的巨大应用价值。Big data thinking gradually rise with the coming era of big data.Big data characteristics could be summarized with 4 V：volume,variety,velocity and value.The characteristics of big data thinking could be summed up in integrity,fault tolerance,correlation and intelligence.These characteristics were also the primary differences between big data thinking and small data thinking.The application of big data thinking in biomedical field became more and more widely,and the most commonly used was NCBI database.The process of mining valuable information in NCBI database was big data thinking.And the rise of Meta analysis and TCGA database would illustrate the huge application value of big data thinking in the biomedical field.

关 键 词：大数据 大数据思维 生物医学 

分 类 号：R-05[医药卫生] R318