Wishart David S
Departments of Computing Science and Biological Sciences, University of Alberta, Alberta, Canada.
Methods Mol Biol. 2010;593:283-313. doi: 10.1007/978-1-60327-194-3_14.
This chapter is intended to familiarize readers with the field of metabolomics and some of the algorithms, data analysis strategies, and computer programs used to analyze or interpret metabolomic data. Specifically, this chapter provides a brief overview of the experimental approaches and applications of metabolomics followed by a description of the spectral and statistical analysis tools for metabolomics. The chapter concludes with a discussion of the resources that can be used to interpret and analyze metabolomic data at a biological or clinical level. Emerging needs, challenges, and recent progress being made in these areas are also discussed.
本章旨在使读者熟悉代谢组学领域以及一些用于分析或解释代谢组学数据的算法、数据分析策略和计算机程序。具体而言,本章简要概述了代谢组学的实验方法和应用,随后描述了代谢组学的光谱和统计分析工具。本章最后讨论了可用于在生物学或临床层面解释和分析代谢组学数据的资源。还讨论了这些领域中出现的需求、挑战以及最近取得的进展。