Meta-analysis在多种组学领域的应用  

Applications of meta-analysis in multi-omics

作　　者：韩明飞[1] 朱云平[1] 

机构地区：[1]军事医学科学院放射与辐射医学研究所蛋白质组学国家重点实验室国家蛋白质科学中心(北京)北京蛋白质组研究中心蛋白质药物国家工程研究中心,北京102206

出　　处：《生物工程学报》2014年第7期1094-1104,共11页Chinese Journal of Biotechnology

基　　金：国家重点基础研究发展计划(973计划)(Nos.2011CB910600,2010CB912700,2013CB911200);国家高技术研究发展计划(863计划)(Nos.2012AA020409,2012AA020201);国家自然科学基金(Nos.21105121,21275160);北京市自然科学基金(No.5122013)资助~~

摘　　要：Meta-analysis作为一种整合多特征、多数据的统计方法,上世纪90年代被引入生命科学领域。随着高通量测序技术的快速发展,以基因组学、转录组学和蛋白质组学为核心的生命组学逐渐成为生命科学研究的新热点。海量数据的快速产出推动了组学研究的发展,也引发了数据规模过大、难以系统整合等问题。针对上述情况,meta-analysis被广泛地应用于分析各组学数据,方法也不断得到改进。本文系统总结了有代表性的meta-analysis方法,考察了目前meta-analysis在多个组学领域的应用现状,最后讨论了meta-analysis尚待解决的问题并展望未来的发展方向。As a statistical method integrating multi-features and multi-data, meta-analysis was introduced to the field of life science in the 1990s. With the rapid advances in high-throughput technologies, life omics, the core of which are genomics, transcriptomics and proteomics, is becoming the new hot spot of life science. Although the fast output of massive data has promoted the development of omics study, it results in excessive data that are difficult to integrate systematically. In this case, meta-analysis is frequently applied to analyze different types of data and is improved continuously. Here, we firstl summarize the representative meta-analysis methods systematically, and then study the current applications of meta-analysis in various omics fields, finally we discuss the still-existing problems and the future development of meta-analysis.

关 键 词：META-ANALYSIS 基因组学 转录组学 蛋白质组学 

分 类 号：Q811.4[生物学—生物工程]