Singapore-Delft Water Alliance, National University of Singapore, Singapore 117576.
Bioinformatics. 2010 Oct 15;26(20):2639-40. doi: 10.1093/bioinformatics/btq436. Epub 2010 Aug 11.
Analysis of high throughput metabolomics experiments is a resource-intensive process that includes pre-processing, pre-treatment and post-processing at each level of experimental hierarchy. We developed an interactive user-friendly online software called Metabolite Data Analysis Tool (MetDAT) for mass spectrometry data. It offers a pipeline of tools for file handling, data pre-processing, univariate and multivariate statistical analyses, database searching and pathway mapping. Outputs are produced in the form of text and high-quality images in real-time. MetDAT allows users to combine data management and experiment-centric workflows for optimization of metabolomics methods and metabolite analysis.
MetDAT is available free for academic use from http://smbl.nus.edu.sg/METDAT2/.
高通量代谢组学实验分析是一个资源密集型的过程,包括在实验层次的每个级别进行预处理、前处理和后处理。我们开发了一个名为代谢物数据分析工具(MetDAT)的交互式用户友好型在线软件,用于质谱数据。它提供了一个工具管道,用于文件处理、数据预处理、单变量和多变量统计分析、数据库搜索和途径映射。输出以实时文本和高质量图像的形式生成。MetDAT 允许用户结合数据管理和以实验为中心的工作流程,优化代谢组学方法和代谢物分析。
MetDAT 可从 http://smbl.nus.edu.sg/METDAT2/ 免费供学术使用。