MetFlow an interactive and integrated workflow for metabolomics data cleaning and differential metabolite discovery

摘要

Mass spectrometry-based metabolomics aims to profile the metabolic changes in biological systems and identify differential metabolites related to physiological phenotypes and aberrant activities. However, many confounding factors during data acquisition complicate metabolomics data, which is characterized by high dimensionality, uncertain degrees of missing and zero values, nonlinearity, unwanted variations and non-normality. Therefore, prior to differential metabolite discovery analysis, various types of data cleaning such as batch alignment, missing value imputation, data normalization and scaling are essentially required for data post-processing. Here, we developed an interactive web server, namely, MetFlow, to provide an integrated and comprehensive workflow for metabolomics data cleaning and differential metabolite discovery.

出版物
Bioinformatics

Availability and implementation

The MetFlow is freely available on http://metflow.zhulab.cn/.

Supplementary information

Supplementary data are available at Bioinformatics online.

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申小涛 博士
博士后研究员

代谢组学,多组学,生物信息,健康

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