SOFTWARE / DATABASE ARTICLE MarVis-Pathway: integrative and exploratory pathway analysis of non-targeted metabolomics data

Abstract A central aim in the evaluation of non-targeted metabolomics data is the detection of intensity patterns that differ between experimental conditions as well as the identification of the underlying metabolites and their association with metabolic pathways. In this context, the identification of metabolites based on non-targeted mass spectrometry data is a major bottleneck. In many applica-tions, this identification needs to be guided by expert knowledge and interactive tools for exploratory data ana-lysis can significantly support this process. Additionally, the integration of data from other omics platforms, such as DNA microarray-based transcriptomics, can provide valu-able hints and thereby facilitate the identification of metabolites via the reconstruction of related metabolic pathways. We here introduce the MarVis-Pathway tool, which allows the user to identify metabolites by annotation of pathways from cross-omics data. The analysis is sup-ported by an extensive framework for pathway enrichment and meta-analysis. The tool allows the mapping of data set features by ID, name, and accurate mass, and can incor-porate information from adduct and isotope correction of mass spectrometry data. MarVis-Pathway was integrated in the MarVis-Suit