摘要
植物代谢组学是近年发展起来的进行植物生物学研究的新兴学科,目前的难点和热点是数据分析和信息挖掘。现针对植物代谢组学数据分析和信息挖掘过程中涉及的几个主要方面进行了概述,内容包括数据特点、分析流程、软件和数据库。系统地介绍了植物代谢组数据分析预处理、常用统计分析原理和适用条件、数据分析中的注意事项、常用软件和数据库的优缺点,最后探讨了植物代谢组数据分析的问题和新发展动态。
Plant metabolomics is a newly emerging ＇omics＇, which has been widely used in plant science research. Data analysis and data mining are the hotspots and the most difficult aspects of plant metabolomics research. In this review, we summarized the major aspects of data analysis and data mining, including the characteristics of metabolomics data, procedure of data analysis, major software packages and public databases. Also data pre- processing, the statistic principle and methods used in metabolomics data analysis, and the characteristics of major software and public databases were introduced in detail. Finally, we discussed the current situation and prospect of plant metabolomics data analysis.
出处
《生命科学》
CSCD
2015年第8期995-999,共5页
Chinese Bulletin of Life Sciences
基金
国家重点基础研究发展计划("973"项目)(2013CB127005)
国家高技术研究发展计划("863"计划)(2012AA10A304-3)
国家自然科学基金项目(31200227)
作者简介
通信作者：E-mail：xqi@ibcas．ac．cn;Tel：010-62836949
