Xia Jianguo, Wishart David S
Institute of Parasitology, McGill University, Sainte Anne de Bellevue, Quebec, Canada.
Department of Animal Science, McGill University, Sainte Anne de Bellevue, Quebec, Canada.
Curr Protoc Bioinformatics. 2016 Sep 7;55:14.10.1-14.10.91. doi: 10.1002/cpbi.11.
MetaboAnalyst (http://www.metaboanalyst.ca) is a comprehensive Web application for metabolomic data analysis and interpretation. MetaboAnalyst handles most of the common metabolomic data types from most kinds of metabolomics platforms (MS and NMR) for most kinds of metabolomics experiments (targeted, untargeted, quantitative). In addition to providing a variety of data processing and normalization procedures, MetaboAnalyst also supports a number of data analysis and data visualization tasks using a range of univariate, multivariate methods such as PCA (principal component analysis), PLS-DA (partial least squares discriminant analysis), heatmap clustering and machine learning methods. MetaboAnalyst also offers a variety of tools for metabolomic data interpretation including MSEA (metabolite set enrichment analysis), MetPA (metabolite pathway analysis), and biomarker selection via ROC (receiver operating characteristic) curve analysis, as well as time series and power analysis. This unit provides an overview of the main functional modules and the general workflow of the latest version of MetaboAnalyst (MetaboAnalyst 3.0), followed by eight detailed protocols. © 2016 by John Wiley & Sons, Inc.
MetaboAnalyst(http://www.metaboanalyst.ca)是一款用于代谢组学数据分析与解读的综合性网络应用程序。MetaboAnalyst可处理来自大多数代谢组学平台(质谱和核磁共振)的大多数常见代谢组学数据类型,适用于大多数类型的代谢组学实验(靶向、非靶向、定量)。除了提供各种数据处理和标准化程序外,MetaboAnalyst还支持一系列使用单变量、多变量方法(如主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)、热图聚类和机器学习方法)的数据分析和数据可视化任务。MetaboAnalyst还提供了多种用于代谢组学数据解读的工具,包括代谢物集富集分析(MSEA)、代谢物途径分析(MetPA),以及通过受试者工作特征(ROC)曲线分析进行生物标志物选择,还有时间序列和功效分析。本单元概述了最新版本的MetaboAnalyst(MetaboAnalyst 3.0)的主要功能模块和一般工作流程,随后是八个详细方案。© 2016约翰威立父子公司版权所有。