Howell Ashley, Yaros Charles
Department of Ophthalmology, Miller School of Medicine, University of Miami, Miami, FL, USA.
Department of Ophthalmology, University of Miami, McKnight Vision Research Center, Miami, FL, USA.
Methods Mol Biol. 2023;2625:313-321. doi: 10.1007/978-1-0716-2966-6_26.
Advances in computational and data processing technology have enabled the development of many novel tools for analyzing metabolomic and lipidomic data. These advances involved the catalyst for the creation of publicly accessible complex web-based databases such as the Metabolomics Workbench. Open Source internet-based software packages such as MetaboAnalyst 5.0 enable researchers to perform a wide range of analyte identification and statistical analyses of their own and other researchers' data in order to identify biomarkers and classify compounds. In this paper, we set forth a protocol for obtaining experimental data of interest from a public data repository (Metabolomics Workbench), converting the data into a format suitable for submission to MetaboAnalyst 5.0, and then uploading the data to the MetaboAnalyst server for identification and statistical analysis.
计算和数据处理技术的进步推动了许多用于分析代谢组学和脂质组学数据的新型工具的开发。这些进展促成了诸如代谢组学工作台等可公开访问的基于网络的复杂数据库的创建。诸如MetaboAnalyst 5.0之类的基于互联网的开源软件包使研究人员能够对自己和其他研究人员的数据进行广泛的分析物鉴定和统计分析,以识别生物标志物和对化合物进行分类。在本文中,我们阐述了一种协议,用于从公共数据存储库(代谢组学工作台)获取感兴趣的实验数据,将数据转换为适合提交给MetaboAnalyst 5.0的格式,然后将数据上传到MetaboAnalyst服务器进行鉴定和统计分析。